2023/08/08 10:46:27 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.8.10 (default, Jun 4 2021, 15:09:15) [GCC 7.5.0] CUDA available: True numpy_random_seed: 1277876261 GPU 0,1: Tesla V100-SXM2-32GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 PyTorch: 1.11.0+cu113 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.12.0+cu113 OpenCV: 4.8.0 MMEngine: 0.8.4 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: 1277876261 Distributed launcher: pytorch Distributed training: True GPU number: 2 ------------------------------------------------------------ 2023/08/08 10:46:28 - mmengine - INFO - Config: auto_scale_lr = dict(base_batch_size=256) backend_args = dict(backend='local') codec = dict( heatmap_size=( 48, 64, ), input_size=( 192, 256, ), sigma=2, type='UDPHeatmap') custom_hooks = [ dict(type='SyncBuffersHook'), ] data_mode = 'topdown' data_root = '/root/autodl-tmp/data/fld/' dataset_type = 'DeepFashionDataset' default_hooks = dict( checkpoint=dict( interval=10, rule='greater', save_best='AUC', type='CheckpointHook'), logger=dict(interval=10, type='LoggerHook'), param_scheduler=dict(type='ParamSchedulerHook'), sampler_seed=dict(type='DistSamplerSeedHook'), timer=dict(type='IterTimerHook'), visualization=dict(enable=False, type='PoseVisualizationHook')) default_scope = 'mmpose' env_cfg = dict( cudnn_benchmark=False, dist_cfg=dict(backend='nccl'), mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) launcher = 'pytorch' load_from = None log_level = 'INFO' log_processor = dict( by_epoch=True, num_digits=6, type='LogProcessor', window_size=50) model = dict( backbone=dict( extra=dict( stage1=dict( block='BOTTLENECK', num_blocks=(4, ), num_branches=1, num_channels=(64, ), num_modules=1), stage2=dict( block='BASIC', num_blocks=( 4, 4, ), num_branches=2, num_channels=( 48, 96, ), num_modules=1), stage3=dict( block='BASIC', num_blocks=( 4, 4, 4, ), num_branches=3, num_channels=( 48, 96, 192, ), num_modules=4), stage4=dict( block='BASIC', num_blocks=( 4, 4, 4, 4, ), num_branches=4, num_channels=( 48, 96, 192, 384, ), num_modules=3)), in_channels=3, init_cfg=dict( checkpoint= 'https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth', type='Pretrained'), type='HRNet'), data_preprocessor=dict( bgr_to_rgb=True, mean=[ 123.675, 116.28, 103.53, ], std=[ 58.395, 57.12, 57.375, ], type='PoseDataPreprocessor'), head=dict( decoder=dict( heatmap_size=( 48, 64, ), input_size=( 192, 256, ), sigma=2, type='MSRAHeatmap'), deconv_out_channels=0, final_layer=dict(kernel_size=1), in_channels=48, loss=dict(type='KeypointMSELoss', use_target_weight=True), out_channels=8, type='HeatmapHead'), test_cfg=dict(flip_mode='heatmap', flip_test=True, shift_heatmap=False), type='TopdownPoseEstimator') optim_wrapper = dict( loss_scale='dynamic', optimizer=dict(lr=0.0005, type='Adam'), type='AmpOptimWrapper') param_scheduler = [ dict( begin=0, by_epoch=False, end=500, start_factor=0.001, type='LinearLR'), dict( begin=0, by_epoch=True, end=210, gamma=0.1, milestones=[ 170, 200, ], type='MultiStepLR'), ] resume = False test_cfg = dict() test_dataloader = dict( batch_size=32, dataset=dict( ann_file='annotations/fld_full_test.json', data_mode='topdown', data_prefix=dict(img='img/'), data_root='/root/autodl-tmp/data/fld/', pipeline=[ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(input_size=( 192, 256, ), type='TopdownAffine'), dict(type='PackPoseInputs'), ], subset='full', test_mode=True, type='DeepFashionDataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(round_up=False, shuffle=False, type='DefaultSampler')) test_evaluator = [ dict(thr=0.2, type='PCKAccuracy'), dict(type='AUC'), dict(type='EPE'), ] test_pipeline = [ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(input_size=( 192, 256, ), type='TopdownAffine'), dict(type='PackPoseInputs'), ] train_cfg = dict(by_epoch=True, max_epochs=210, val_interval=10) train_dataloader = dict( batch_size=32, dataset=dict( ann_file='annotations/fld_full_train.json', data_mode='topdown', data_prefix=dict(img='img/'), data_root='/root/autodl-tmp/data/fld/', pipeline=[ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(direction='horizontal', type='RandomFlip'), dict(type='RandomBBoxTransform'), dict(input_size=( 192, 256, ), type='TopdownAffine'), dict( encoder=dict( heatmap_size=( 48, 64, ), input_size=( 192, 256, ), sigma=2, type='MSRAHeatmap'), type='GenerateTarget'), dict(type='PackPoseInputs'), ], subset='full', type='DeepFashionDataset'), num_workers=2, persistent_workers=True, sampler=dict(shuffle=True, type='DefaultSampler')) train_pipeline = [ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(direction='horizontal', type='RandomFlip'), dict(type='RandomHalfBody'), dict(type='RandomBBoxTransform'), dict(input_size=( 192, 256, ), type='TopdownAffine', use_udp=True), dict( encoder=dict( heatmap_size=( 48, 64, ), input_size=( 192, 256, ), sigma=2, type='UDPHeatmap'), type='GenerateTarget'), dict(type='PackPoseInputs'), ] val_cfg = dict() val_dataloader = dict( batch_size=32, dataset=dict( ann_file='annotations/fld_full_val.json', data_mode='topdown', data_prefix=dict(img='img/'), data_root='/root/autodl-tmp/data/fld/', pipeline=[ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(input_size=( 192, 256, ), type='TopdownAffine'), dict(type='PackPoseInputs'), ], subset='full', test_mode=True, type='DeepFashionDataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(round_up=False, shuffle=False, type='DefaultSampler')) val_evaluator = [ dict(thr=0.2, type='PCKAccuracy'), dict(type='AUC'), dict(type='EPE'), ] val_pipeline = [ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(input_size=( 192, 256, ), type='TopdownAffine', use_udp=True), dict(type='PackPoseInputs'), ] vis_backends = [ dict(type='LocalVisBackend'), ] visualizer = dict( name='visualizer', type='PoseLocalVisualizer', vis_backends=[ dict(save_dir='/root/tf-logs', type='TensorboardVisBackend'), dict( init_kwargs=dict( name='td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192', project='mmpose-deepfashion'), type='WandbVisBackend'), ]) work_dir = './work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192' 2023/08/08 10:46:39 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val: (VERY_HIGH ) RuntimeInfoHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) PoseVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_val: (VERY_HIGH ) RuntimeInfoHook -------------------- after_train: (VERY_HIGH ) RuntimeInfoHook (VERY_LOW ) CheckpointHook -------------------- before_test: (VERY_HIGH ) RuntimeInfoHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) PoseVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test: (VERY_HIGH ) RuntimeInfoHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2023/08/08 10:46:49 - mmengine - WARNING - The prefix is not set in metric class PCKAccuracy. 2023/08/08 10:46:49 - mmengine - WARNING - The prefix is not set in metric class AUC. 2023/08/08 10:46:49 - mmengine - WARNING - The prefix is not set in metric class EPE. 2023/08/08 10:46:50 - mmengine - INFO - load model from: https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth 2023/08/08 10:46:50 - mmengine - INFO - Loads checkpoint by http backend from path: https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth 2023/08/08 10:46:50 - mmengine - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: head.0.0.0.conv1.weight, head.0.0.0.bn1.weight, head.0.0.0.bn1.bias, head.0.0.0.bn1.running_mean, head.0.0.0.bn1.running_var, head.0.0.0.conv2.weight, head.0.0.0.bn2.weight, head.0.0.0.bn2.bias, head.0.0.0.bn2.running_mean, head.0.0.0.bn2.running_var, head.0.0.0.conv3.weight, head.0.0.0.bn3.weight, head.0.0.0.bn3.bias, head.0.0.0.bn3.running_mean, head.0.0.0.bn3.running_var, head.0.0.0.downsample.0.weight, head.0.0.0.downsample.1.weight, head.0.0.0.downsample.1.bias, head.0.0.0.downsample.1.running_mean, head.0.0.0.downsample.1.running_var, head.0.1.0.conv1.weight, head.0.1.0.bn1.weight, head.0.1.0.bn1.bias, head.0.1.0.bn1.running_mean, head.0.1.0.bn1.running_var, head.0.1.0.conv2.weight, head.0.1.0.bn2.weight, head.0.1.0.bn2.bias, head.0.1.0.bn2.running_mean, head.0.1.0.bn2.running_var, head.0.1.0.conv3.weight, head.0.1.0.bn3.weight, head.0.1.0.bn3.bias, head.0.1.0.bn3.running_mean, head.0.1.0.bn3.running_var, head.0.1.0.downsample.0.weight, head.0.1.0.downsample.1.weight, head.0.1.0.downsample.1.bias, head.0.1.0.downsample.1.running_mean, head.0.1.0.downsample.1.running_var, head.0.2.0.conv1.weight, head.0.2.0.bn1.weight, head.0.2.0.bn1.bias, head.0.2.0.bn1.running_mean, head.0.2.0.bn1.running_var, head.0.2.0.conv2.weight, head.0.2.0.bn2.weight, head.0.2.0.bn2.bias, head.0.2.0.bn2.running_mean, head.0.2.0.bn2.running_var, head.0.2.0.conv3.weight, head.0.2.0.bn3.weight, head.0.2.0.bn3.bias, head.0.2.0.bn3.running_mean, head.0.2.0.bn3.running_var, head.0.2.0.downsample.0.weight, head.0.2.0.downsample.1.weight, head.0.2.0.downsample.1.bias, head.0.2.0.downsample.1.running_mean, head.0.2.0.downsample.1.running_var, head.1.0.0.conv1.weight, head.1.0.0.bn1.weight, head.1.0.0.bn1.bias, head.1.0.0.bn1.running_mean, head.1.0.0.bn1.running_var, head.1.0.0.conv2.weight, head.1.0.0.bn2.weight, head.1.0.0.bn2.bias, head.1.0.0.bn2.running_mean, head.1.0.0.bn2.running_var, head.1.0.0.conv3.weight, head.1.0.0.bn3.weight, head.1.0.0.bn3.bias, head.1.0.0.bn3.running_mean, head.1.0.0.bn3.running_var, head.1.0.0.downsample.0.weight, head.1.0.0.downsample.1.weight, head.1.0.0.downsample.1.bias, head.1.0.0.downsample.1.running_mean, head.1.0.0.downsample.1.running_var, head.1.1.0.conv1.weight, head.1.1.0.bn1.weight, head.1.1.0.bn1.bias, head.1.1.0.bn1.running_mean, head.1.1.0.bn1.running_var, head.1.1.0.conv2.weight, head.1.1.0.bn2.weight, head.1.1.0.bn2.bias, head.1.1.0.bn2.running_mean, head.1.1.0.bn2.running_var, head.1.1.0.conv3.weight, head.1.1.0.bn3.weight, head.1.1.0.bn3.bias, head.1.1.0.bn3.running_mean, head.1.1.0.bn3.running_var, head.1.1.0.downsample.0.weight, head.1.1.0.downsample.1.weight, head.1.1.0.downsample.1.bias, head.1.1.0.downsample.1.running_mean, head.1.1.0.downsample.1.running_var, head.2.0.0.conv1.weight, head.2.0.0.bn1.weight, head.2.0.0.bn1.bias, head.2.0.0.bn1.running_mean, head.2.0.0.bn1.running_var, head.2.0.0.conv2.weight, head.2.0.0.bn2.weight, head.2.0.0.bn2.bias, head.2.0.0.bn2.running_mean, head.2.0.0.bn2.running_var, head.2.0.0.conv3.weight, head.2.0.0.bn3.weight, head.2.0.0.bn3.bias, head.2.0.0.bn3.running_mean, head.2.0.0.bn3.running_var, head.2.0.0.downsample.0.weight, head.2.0.0.downsample.1.weight, head.2.0.0.downsample.1.bias, head.2.0.0.downsample.1.running_mean, head.2.0.0.downsample.1.running_var, head.3.0.0.conv1.weight, head.3.0.0.bn1.weight, head.3.0.0.bn1.bias, head.3.0.0.bn1.running_mean, head.3.0.0.bn1.running_var, head.3.0.0.conv2.weight, head.3.0.0.bn2.weight, head.3.0.0.bn2.bias, head.3.0.0.bn2.running_mean, head.3.0.0.bn2.running_var, head.3.0.0.conv3.weight, head.3.0.0.bn3.weight, head.3.0.0.bn3.bias, head.3.0.0.bn3.running_mean, head.3.0.0.bn3.running_var, head.3.0.0.downsample.0.weight, head.3.0.0.downsample.1.weight, head.3.0.0.downsample.1.bias, head.3.0.0.downsample.1.running_mean, head.3.0.0.downsample.1.running_var, fc.weight, fc.bias, stage4.2.fuse_layers.1.0.0.0.weight, stage4.2.fuse_layers.1.0.0.1.weight, stage4.2.fuse_layers.1.0.0.1.bias, stage4.2.fuse_layers.1.0.0.1.running_mean, stage4.2.fuse_layers.1.0.0.1.running_var, stage4.2.fuse_layers.1.2.0.weight, stage4.2.fuse_layers.1.2.1.weight, stage4.2.fuse_layers.1.2.1.bias, stage4.2.fuse_layers.1.2.1.running_mean, stage4.2.fuse_layers.1.2.1.running_var, stage4.2.fuse_layers.1.3.0.weight, stage4.2.fuse_layers.1.3.1.weight, stage4.2.fuse_layers.1.3.1.bias, stage4.2.fuse_layers.1.3.1.running_mean, stage4.2.fuse_layers.1.3.1.running_var, stage4.2.fuse_layers.2.0.0.0.weight, stage4.2.fuse_layers.2.0.0.1.weight, stage4.2.fuse_layers.2.0.0.1.bias, stage4.2.fuse_layers.2.0.0.1.running_mean, stage4.2.fuse_layers.2.0.0.1.running_var, stage4.2.fuse_layers.2.0.1.0.weight, stage4.2.fuse_layers.2.0.1.1.weight, stage4.2.fuse_layers.2.0.1.1.bias, stage4.2.fuse_layers.2.0.1.1.running_mean, stage4.2.fuse_layers.2.0.1.1.running_var, stage4.2.fuse_layers.2.1.0.0.weight, stage4.2.fuse_layers.2.1.0.1.weight, stage4.2.fuse_layers.2.1.0.1.bias, stage4.2.fuse_layers.2.1.0.1.running_mean, stage4.2.fuse_layers.2.1.0.1.running_var, stage4.2.fuse_layers.2.3.0.weight, stage4.2.fuse_layers.2.3.1.weight, stage4.2.fuse_layers.2.3.1.bias, stage4.2.fuse_layers.2.3.1.running_mean, stage4.2.fuse_layers.2.3.1.running_var, stage4.2.fuse_layers.3.0.0.0.weight, stage4.2.fuse_layers.3.0.0.1.weight, stage4.2.fuse_layers.3.0.0.1.bias, stage4.2.fuse_layers.3.0.0.1.running_mean, stage4.2.fuse_layers.3.0.0.1.running_var, stage4.2.fuse_layers.3.0.1.0.weight, stage4.2.fuse_layers.3.0.1.1.weight, stage4.2.fuse_layers.3.0.1.1.bias, stage4.2.fuse_layers.3.0.1.1.running_mean, stage4.2.fuse_layers.3.0.1.1.running_var, stage4.2.fuse_layers.3.0.2.0.weight, stage4.2.fuse_layers.3.0.2.1.weight, stage4.2.fuse_layers.3.0.2.1.bias, stage4.2.fuse_layers.3.0.2.1.running_mean, stage4.2.fuse_layers.3.0.2.1.running_var, stage4.2.fuse_layers.3.1.0.0.weight, stage4.2.fuse_layers.3.1.0.1.weight, stage4.2.fuse_layers.3.1.0.1.bias, stage4.2.fuse_layers.3.1.0.1.running_mean, stage4.2.fuse_layers.3.1.0.1.running_var, stage4.2.fuse_layers.3.1.1.0.weight, stage4.2.fuse_layers.3.1.1.1.weight, stage4.2.fuse_layers.3.1.1.1.bias, stage4.2.fuse_layers.3.1.1.1.running_mean, stage4.2.fuse_layers.3.1.1.1.running_var, stage4.2.fuse_layers.3.2.0.0.weight, stage4.2.fuse_layers.3.2.0.1.weight, stage4.2.fuse_layers.3.2.0.1.bias, stage4.2.fuse_layers.3.2.0.1.running_mean, stage4.2.fuse_layers.3.2.0.1.running_var Name of parameter - Initialization information backbone.conv1.weight - torch.Size([64, 3, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.bn2.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.bn2.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.3.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.3.bn1.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.3.bn1.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.3.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.3.bn2.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.3.bn2.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.3.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.3.bn3.weight - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.3.bn3.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition1.0.0.weight - torch.Size([48, 256, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition1.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition1.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition1.1.0.0.weight - torch.Size([96, 256, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition1.1.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition1.1.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition2.2.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition2.2.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition2.2.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition3.3.0.0.weight - torch.Size([384, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition3.3.0.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition3.3.0.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.3.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.3.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.3.bn1.bias - torch.Size([384]): PretrainedInit: load from 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PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.3.0.weight - torch.Size([48, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.3.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.3.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.3.0.weight - torch.Size([96, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.3.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.3.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.3.0.weight - torch.Size([192, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.3.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.3.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.1.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.2.0.weight - torch.Size([384, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.2.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.2.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.0.0.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.1.0.weight - torch.Size([384, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.1.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.1.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.2.0.0.weight - torch.Size([384, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.2.0.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.2.0.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.3.0.weight - torch.Size([48, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.3.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.3.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.3.0.weight - torch.Size([96, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.3.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.3.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.3.0.weight - torch.Size([192, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.3.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.3.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.1.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.2.0.weight - torch.Size([384, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.2.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.2.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.0.0.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.1.0.weight - torch.Size([384, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.1.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.1.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.2.0.0.weight - torch.Size([384, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.2.0.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.2.0.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: 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PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: 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PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.3.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.3.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.3.bn1.bias - torch.Size([384]): PretrainedInit: load from 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PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.3.0.weight - torch.Size([48, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.3.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.3.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth head.final_layer.weight - torch.Size([8, 48, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 head.final_layer.bias - torch.Size([8]): NormalInit: mean=0, std=0.001, bias=0 2023/08/08 10:46:51 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/08/08 10:46:51 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/08/08 10:46:51 - mmengine - INFO - Checkpoints will be saved to /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192. 2023/08/08 10:46:55 - mmengine - INFO - Epoch(train) [1][ 10/529] lr: 9.509018e-06 eta: 13:41:29 time: 0.443733 data_time: 0.095331 memory: 4567 loss: 0.003515 loss_kpt: 0.003515 acc_pose: 0.036881 2023/08/08 10:46:59 - mmengine - INFO - Epoch(train) [1][ 20/529] lr: 1.951904e-05 eta: 12:31:55 time: 0.406187 data_time: 0.066028 memory: 4566 loss: 0.003456 loss_kpt: 0.003456 acc_pose: 0.039664 2023/08/08 10:47:02 - mmengine - INFO - Epoch(train) [1][ 30/529] lr: 2.952906e-05 eta: 12:01:54 time: 0.390006 data_time: 0.055294 memory: 4566 loss: 0.003414 loss_kpt: 0.003414 acc_pose: 0.073141 2023/08/08 10:47:06 - mmengine - INFO - Epoch(train) [1][ 40/529] lr: 3.953908e-05 eta: 11:47:37 time: 0.382326 data_time: 0.049657 memory: 4566 loss: 0.003356 loss_kpt: 0.003356 acc_pose: 0.070496 2023/08/08 10:47:10 - mmengine - INFO - Epoch(train) [1][ 50/529] lr: 4.954910e-05 eta: 11:38:19 time: 0.377336 data_time: 0.046233 memory: 4566 loss: 0.003297 loss_kpt: 0.003297 acc_pose: 0.216075 2023/08/08 10:47:13 - mmengine - INFO - Epoch(train) [1][ 60/529] lr: 5.955912e-05 eta: 11:30:02 time: 0.358724 data_time: 0.033565 memory: 4566 loss: 0.003181 loss_kpt: 0.003181 acc_pose: 0.250552 2023/08/08 10:47:17 - mmengine - INFO - Epoch(train) [1][ 70/529] lr: 6.956914e-05 eta: 11:29:32 time: 0.359246 data_time: 0.032735 memory: 4566 loss: 0.003047 loss_kpt: 0.003047 acc_pose: 0.368774 2023/08/08 10:47:20 - mmengine - INFO - Epoch(train) [1][ 80/529] lr: 7.957916e-05 eta: 11:24:14 time: 0.357725 data_time: 0.032329 memory: 4566 loss: 0.002889 loss_kpt: 0.002889 acc_pose: 0.436897 2023/08/08 10:47:24 - mmengine - INFO - Epoch(train) [1][ 90/529] lr: 8.958918e-05 eta: 11:20:59 time: 0.356723 data_time: 0.032008 memory: 4566 loss: 0.002737 loss_kpt: 0.002737 acc_pose: 0.515781 2023/08/08 10:47:28 - mmengine - INFO - Epoch(train) [1][100/529] lr: 9.959920e-05 eta: 11:26:13 time: 0.364596 data_time: 0.032318 memory: 4566 loss: 0.002577 loss_kpt: 0.002577 acc_pose: 0.598380 2023/08/08 10:47:31 - mmengine - INFO - Epoch(train) [1][110/529] lr: 1.096092e-04 eta: 11:23:17 time: 0.365245 data_time: 0.032076 memory: 4566 loss: 0.002420 loss_kpt: 0.002420 acc_pose: 0.556672 2023/08/08 10:47:35 - mmengine - INFO - Epoch(train) [1][120/529] lr: 1.196192e-04 eta: 11:21:10 time: 0.362201 data_time: 0.031887 memory: 4566 loss: 0.002304 loss_kpt: 0.002304 acc_pose: 0.604486 2023/08/08 10:47:38 - mmengine - INFO - Epoch(train) [1][130/529] lr: 1.296293e-04 eta: 11:18:16 time: 0.361870 data_time: 0.031992 memory: 4566 loss: 0.002202 loss_kpt: 0.002202 acc_pose: 0.568878 2023/08/08 10:47:42 - mmengine - INFO - Epoch(train) [1][140/529] lr: 1.396393e-04 eta: 11:17:56 time: 0.363949 data_time: 0.032244 memory: 4566 loss: 0.002107 loss_kpt: 0.002107 acc_pose: 0.605492 2023/08/08 10:47:45 - mmengine - INFO - Epoch(train) [1][150/529] lr: 1.496493e-04 eta: 11:15:16 time: 0.353707 data_time: 0.031688 memory: 4566 loss: 0.002024 loss_kpt: 0.002024 acc_pose: 0.531694 2023/08/08 10:47:49 - mmengine - INFO - Epoch(train) [1][160/529] lr: 1.596593e-04 eta: 11:13:13 time: 0.352524 data_time: 0.031655 memory: 4566 loss: 0.001972 loss_kpt: 0.001972 acc_pose: 0.593058 2023/08/08 10:47:52 - mmengine - INFO - Epoch(train) [1][170/529] lr: 1.696693e-04 eta: 11:10:44 time: 0.349674 data_time: 0.031693 memory: 4566 loss: 0.001907 loss_kpt: 0.001907 acc_pose: 0.633306 2023/08/08 10:47:56 - mmengine - INFO - Epoch(train) [1][180/529] lr: 1.796794e-04 eta: 11:10:15 time: 0.351732 data_time: 0.031645 memory: 4566 loss: 0.001869 loss_kpt: 0.001869 acc_pose: 0.527095 2023/08/08 10:48:00 - mmengine - INFO - Epoch(train) [1][190/529] lr: 1.896894e-04 eta: 11:09:58 time: 0.350889 data_time: 0.031282 memory: 4566 loss: 0.001845 loss_kpt: 0.001845 acc_pose: 0.559256 2023/08/08 10:48:03 - mmengine - INFO - Epoch(train) [1][200/529] lr: 1.996994e-04 eta: 11:08:24 time: 0.351001 data_time: 0.031163 memory: 4566 loss: 0.001852 loss_kpt: 0.001852 acc_pose: 0.559863 2023/08/08 10:48:06 - mmengine - INFO - Epoch(train) [1][210/529] lr: 2.097094e-04 eta: 11:06:53 time: 0.350409 data_time: 0.031247 memory: 4566 loss: 0.001843 loss_kpt: 0.001843 acc_pose: 0.599343 2023/08/08 10:48:10 - mmengine - INFO - Epoch(train) [1][220/529] lr: 2.197194e-04 eta: 11:05:55 time: 0.352091 data_time: 0.031533 memory: 4566 loss: 0.001824 loss_kpt: 0.001824 acc_pose: 0.731773 2023/08/08 10:48:14 - mmengine - INFO - Epoch(train) [1][230/529] lr: 2.297295e-04 eta: 11:05:59 time: 0.352727 data_time: 0.032176 memory: 4566 loss: 0.001795 loss_kpt: 0.001795 acc_pose: 0.691529 2023/08/08 10:48:17 - mmengine - INFO - Epoch(train) [1][240/529] lr: 2.397395e-04 eta: 11:08:06 time: 0.358397 data_time: 0.032522 memory: 4566 loss: 0.001785 loss_kpt: 0.001785 acc_pose: 0.654135 2023/08/08 10:48:22 - mmengine - INFO - Epoch(train) [1][250/529] lr: 2.497495e-04 eta: 11:11:43 time: 0.371466 data_time: 0.033052 memory: 4566 loss: 0.001753 loss_kpt: 0.001753 acc_pose: 0.637919 2023/08/08 10:48:25 - mmengine - INFO - Epoch(train) [1][260/529] lr: 2.597595e-04 eta: 11:10:26 time: 0.371720 data_time: 0.033090 memory: 4566 loss: 0.001731 loss_kpt: 0.001731 acc_pose: 0.670071 2023/08/08 10:48:29 - mmengine - INFO - Epoch(train) [1][270/529] lr: 2.697695e-04 eta: 11:09:04 time: 0.370476 data_time: 0.032664 memory: 4566 loss: 0.001739 loss_kpt: 0.001739 acc_pose: 0.568646 2023/08/08 10:48:32 - mmengine - INFO - Epoch(train) [1][280/529] lr: 2.797796e-04 eta: 11:08:12 time: 0.368094 data_time: 0.031781 memory: 4566 loss: 0.001755 loss_kpt: 0.001755 acc_pose: 0.690493 2023/08/08 10:48:35 - mmengine - INFO - Epoch(train) [1][290/529] lr: 2.897896e-04 eta: 11:06:52 time: 0.358685 data_time: 0.031419 memory: 4566 loss: 0.001756 loss_kpt: 0.001756 acc_pose: 0.647303 2023/08/08 10:48:39 - mmengine - INFO - Epoch(train) [1][300/529] lr: 2.997996e-04 eta: 11:05:31 time: 0.344449 data_time: 0.030709 memory: 4566 loss: 0.001750 loss_kpt: 0.001750 acc_pose: 0.650415 2023/08/08 10:48:42 - mmengine - INFO - Epoch(train) [1][310/529] lr: 3.098096e-04 eta: 11:04:18 time: 0.343363 data_time: 0.030578 memory: 4566 loss: 0.001750 loss_kpt: 0.001750 acc_pose: 0.643106 2023/08/08 10:48:46 - mmengine - INFO - Epoch(train) [1][320/529] lr: 3.198196e-04 eta: 11:03:21 time: 0.343442 data_time: 0.030357 memory: 4566 loss: 0.001732 loss_kpt: 0.001732 acc_pose: 0.673445 2023/08/08 10:48:49 - mmengine - INFO - Epoch(train) [1][330/529] lr: 3.298297e-04 eta: 11:02:42 time: 0.343225 data_time: 0.030492 memory: 4566 loss: 0.001705 loss_kpt: 0.001705 acc_pose: 0.619591 2023/08/08 10:48:53 - mmengine - INFO - Epoch(train) [1][340/529] lr: 3.398397e-04 eta: 11:02:12 time: 0.345063 data_time: 0.031068 memory: 4566 loss: 0.001684 loss_kpt: 0.001684 acc_pose: 0.680489 2023/08/08 10:48:56 - mmengine - INFO - Epoch(train) [1][350/529] lr: 3.498497e-04 eta: 11:01:15 time: 0.345388 data_time: 0.031128 memory: 4566 loss: 0.001678 loss_kpt: 0.001678 acc_pose: 0.621197 2023/08/08 10:49:00 - mmengine - INFO - Epoch(train) [1][360/529] lr: 3.598597e-04 eta: 11:01:15 time: 0.349075 data_time: 0.032154 memory: 4566 loss: 0.001665 loss_kpt: 0.001665 acc_pose: 0.568695 2023/08/08 10:49:03 - mmengine - INFO - Epoch(train) [1][370/529] lr: 3.698697e-04 eta: 11:00:24 time: 0.348688 data_time: 0.032600 memory: 4566 loss: 0.001667 loss_kpt: 0.001667 acc_pose: 0.656680 2023/08/08 10:49:07 - mmengine - INFO - Epoch(train) [1][380/529] lr: 3.798798e-04 eta: 10:59:44 time: 0.348014 data_time: 0.032763 memory: 4566 loss: 0.001666 loss_kpt: 0.001666 acc_pose: 0.558016 2023/08/08 10:49:10 - mmengine - INFO - Epoch(train) [1][390/529] lr: 3.898898e-04 eta: 10:59:04 time: 0.346782 data_time: 0.032707 memory: 4566 loss: 0.001669 loss_kpt: 0.001669 acc_pose: 0.658978 2023/08/08 10:49:14 - mmengine - INFO - Epoch(train) [1][400/529] lr: 3.998998e-04 eta: 10:58:39 time: 0.348300 data_time: 0.033189 memory: 4566 loss: 0.001672 loss_kpt: 0.001672 acc_pose: 0.709370 2023/08/08 10:49:17 - mmengine - INFO - Epoch(train) [1][410/529] lr: 4.099098e-04 eta: 10:57:52 time: 0.344609 data_time: 0.032057 memory: 4566 loss: 0.001676 loss_kpt: 0.001676 acc_pose: 0.590065 2023/08/08 10:49:20 - mmengine - INFO - Epoch(train) [1][420/529] lr: 4.199198e-04 eta: 10:57:08 time: 0.344405 data_time: 0.031877 memory: 4566 loss: 0.001692 loss_kpt: 0.001692 acc_pose: 0.636344 2023/08/08 10:49:24 - mmengine - INFO - Epoch(train) [1][430/529] lr: 4.299299e-04 eta: 10:56:24 time: 0.343364 data_time: 0.031856 memory: 4566 loss: 0.001706 loss_kpt: 0.001706 acc_pose: 0.623717 2023/08/08 10:49:27 - mmengine - INFO - Epoch(train) [1][440/529] lr: 4.399399e-04 eta: 10:55:45 time: 0.342763 data_time: 0.031710 memory: 4566 loss: 0.001719 loss_kpt: 0.001719 acc_pose: 0.676466 2023/08/08 10:49:31 - mmengine - INFO - Epoch(train) [1][450/529] lr: 4.499499e-04 eta: 10:55:52 time: 0.344842 data_time: 0.034869 memory: 4566 loss: 0.001725 loss_kpt: 0.001725 acc_pose: 0.673216 2023/08/08 10:49:34 - mmengine - INFO - Epoch(train) [1][460/529] lr: 4.599599e-04 eta: 10:55:32 time: 0.346473 data_time: 0.035122 memory: 4566 loss: 0.001713 loss_kpt: 0.001713 acc_pose: 0.673657 2023/08/08 10:49:38 - mmengine - INFO - Epoch(train) [1][470/529] lr: 4.699699e-04 eta: 10:55:00 time: 0.346885 data_time: 0.034887 memory: 4566 loss: 0.001678 loss_kpt: 0.001678 acc_pose: 0.640130 2023/08/08 10:49:41 - mmengine - INFO - Epoch(train) [1][480/529] lr: 4.799800e-04 eta: 10:54:26 time: 0.347249 data_time: 0.034331 memory: 4566 loss: 0.001683 loss_kpt: 0.001683 acc_pose: 0.628565 2023/08/08 10:49:45 - mmengine - INFO - Epoch(train) [1][490/529] lr: 4.899900e-04 eta: 10:53:56 time: 0.347525 data_time: 0.033828 memory: 4566 loss: 0.001678 loss_kpt: 0.001678 acc_pose: 0.591278 2023/08/08 10:49:48 - mmengine - INFO - Epoch(train) [1][500/529] lr: 5.000000e-04 eta: 10:53:28 time: 0.344269 data_time: 0.030150 memory: 4566 loss: 0.001667 loss_kpt: 0.001667 acc_pose: 0.727188 2023/08/08 10:49:51 - mmengine - INFO - Epoch(train) [1][510/529] lr: 5.000000e-04 eta: 10:53:00 time: 0.343168 data_time: 0.029904 memory: 4566 loss: 0.001702 loss_kpt: 0.001702 acc_pose: 0.663880 2023/08/08 10:49:55 - mmengine - INFO - Epoch(train) [1][520/529] lr: 5.000000e-04 eta: 10:52:45 time: 0.344214 data_time: 0.030394 memory: 4566 loss: 0.001713 loss_kpt: 0.001713 acc_pose: 0.615217 2023/08/08 10:49:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 10:50:02 - mmengine - INFO - Epoch(train) [2][ 10/529] lr: 5.000000e-04 eta: 10:53:30 time: 0.353760 data_time: 0.034887 memory: 4566 loss: 0.001665 loss_kpt: 0.001665 acc_pose: 0.608696 2023/08/08 10:50:05 - mmengine - INFO - Epoch(train) [2][ 20/529] lr: 5.000000e-04 eta: 10:52:59 time: 0.353271 data_time: 0.034814 memory: 4566 loss: 0.001670 loss_kpt: 0.001670 acc_pose: 0.647951 2023/08/08 10:50:09 - mmengine - INFO - Epoch(train) [2][ 30/529] lr: 5.000000e-04 eta: 10:52:36 time: 0.353286 data_time: 0.034834 memory: 4566 loss: 0.001654 loss_kpt: 0.001654 acc_pose: 0.677954 2023/08/08 10:50:12 - mmengine - INFO - Epoch(train) [2][ 40/529] lr: 5.000000e-04 eta: 10:52:19 time: 0.353379 data_time: 0.034529 memory: 4566 loss: 0.001650 loss_kpt: 0.001650 acc_pose: 0.690034 2023/08/08 10:50:16 - mmengine - INFO - Epoch(train) [2][ 50/529] lr: 5.000000e-04 eta: 10:52:06 time: 0.348816 data_time: 0.034414 memory: 4566 loss: 0.001633 loss_kpt: 0.001633 acc_pose: 0.632304 2023/08/08 10:50:19 - mmengine - INFO - Epoch(train) [2][ 60/529] lr: 5.000000e-04 eta: 10:51:51 time: 0.346011 data_time: 0.030483 memory: 4566 loss: 0.001636 loss_kpt: 0.001636 acc_pose: 0.647216 2023/08/08 10:50:23 - mmengine - INFO - Epoch(train) [2][ 70/529] lr: 5.000000e-04 eta: 10:51:22 time: 0.345849 data_time: 0.030584 memory: 4566 loss: 0.001618 loss_kpt: 0.001618 acc_pose: 0.656308 2023/08/08 10:50:26 - mmengine - INFO - Epoch(train) [2][ 80/529] lr: 5.000000e-04 eta: 10:50:59 time: 0.345577 data_time: 0.030638 memory: 4566 loss: 0.001598 loss_kpt: 0.001598 acc_pose: 0.667603 2023/08/08 10:50:29 - mmengine - INFO - Epoch(train) [2][ 90/529] lr: 5.000000e-04 eta: 10:50:43 time: 0.345290 data_time: 0.030786 memory: 4566 loss: 0.001595 loss_kpt: 0.001595 acc_pose: 0.649250 2023/08/08 10:50:33 - mmengine - INFO - Epoch(train) [2][100/529] lr: 5.000000e-04 eta: 10:51:03 time: 0.348842 data_time: 0.030851 memory: 4566 loss: 0.001617 loss_kpt: 0.001617 acc_pose: 0.672578 2023/08/08 10:50:37 - mmengine - INFO - Epoch(train) [2][110/529] lr: 5.000000e-04 eta: 10:50:47 time: 0.348617 data_time: 0.031038 memory: 4566 loss: 0.001620 loss_kpt: 0.001620 acc_pose: 0.690292 2023/08/08 10:50:40 - mmengine - INFO - Epoch(train) [2][120/529] lr: 5.000000e-04 eta: 10:50:26 time: 0.349257 data_time: 0.031133 memory: 4566 loss: 0.001608 loss_kpt: 0.001608 acc_pose: 0.630422 2023/08/08 10:50:44 - mmengine - INFO - Epoch(train) [2][130/529] lr: 5.000000e-04 eta: 10:50:32 time: 0.352341 data_time: 0.031307 memory: 4566 loss: 0.001615 loss_kpt: 0.001615 acc_pose: 0.612682 2023/08/08 10:50:47 - mmengine - INFO - Epoch(train) [2][140/529] lr: 5.000000e-04 eta: 10:50:09 time: 0.351482 data_time: 0.031284 memory: 4566 loss: 0.001617 loss_kpt: 0.001617 acc_pose: 0.673440 2023/08/08 10:50:51 - mmengine - INFO - Epoch(train) [2][150/529] lr: 5.000000e-04 eta: 10:49:51 time: 0.346960 data_time: 0.031261 memory: 4566 loss: 0.001600 loss_kpt: 0.001600 acc_pose: 0.623832 2023/08/08 10:50:54 - mmengine - INFO - Epoch(train) [2][160/529] lr: 5.000000e-04 eta: 10:49:32 time: 0.346308 data_time: 0.031491 memory: 4566 loss: 0.001590 loss_kpt: 0.001590 acc_pose: 0.648939 2023/08/08 10:50:58 - mmengine - INFO - Epoch(train) [2][170/529] lr: 5.000000e-04 eta: 10:49:47 time: 0.350647 data_time: 0.032252 memory: 4566 loss: 0.001578 loss_kpt: 0.001578 acc_pose: 0.670919 2023/08/08 10:51:01 - mmengine - INFO - Epoch(train) [2][180/529] lr: 5.000000e-04 eta: 10:49:29 time: 0.347686 data_time: 0.032920 memory: 4566 loss: 0.001581 loss_kpt: 0.001581 acc_pose: 0.712885 2023/08/08 10:51:04 - mmengine - INFO - Epoch(train) [2][190/529] lr: 5.000000e-04 eta: 10:49:09 time: 0.347739 data_time: 0.033643 memory: 4566 loss: 0.001559 loss_kpt: 0.001559 acc_pose: 0.745179 2023/08/08 10:51:08 - mmengine - INFO - Epoch(train) [2][200/529] lr: 5.000000e-04 eta: 10:48:50 time: 0.347491 data_time: 0.034113 memory: 4566 loss: 0.001581 loss_kpt: 0.001581 acc_pose: 0.715191 2023/08/08 10:51:11 - mmengine - INFO - Epoch(train) [2][210/529] lr: 5.000000e-04 eta: 10:48:33 time: 0.347469 data_time: 0.033736 memory: 4566 loss: 0.001584 loss_kpt: 0.001584 acc_pose: 0.616751 2023/08/08 10:51:15 - mmengine - INFO - Epoch(train) [2][220/529] lr: 5.000000e-04 eta: 10:48:16 time: 0.343152 data_time: 0.033142 memory: 4566 loss: 0.001607 loss_kpt: 0.001607 acc_pose: 0.623575 2023/08/08 10:51:18 - mmengine - INFO - Epoch(train) [2][230/529] lr: 5.000000e-04 eta: 10:48:04 time: 0.343801 data_time: 0.032299 memory: 4566 loss: 0.001578 loss_kpt: 0.001578 acc_pose: 0.671796 2023/08/08 10:51:22 - mmengine - INFO - Epoch(train) [2][240/529] lr: 5.000000e-04 eta: 10:47:44 time: 0.343525 data_time: 0.031552 memory: 4566 loss: 0.001580 loss_kpt: 0.001580 acc_pose: 0.653625 2023/08/08 10:51:25 - mmengine - INFO - Epoch(train) [2][250/529] lr: 5.000000e-04 eta: 10:47:21 time: 0.342664 data_time: 0.030849 memory: 4566 loss: 0.001562 loss_kpt: 0.001562 acc_pose: 0.720421 2023/08/08 10:51:28 - mmengine - INFO - Epoch(train) [2][260/529] lr: 5.000000e-04 eta: 10:47:00 time: 0.341840 data_time: 0.030596 memory: 4566 loss: 0.001547 loss_kpt: 0.001547 acc_pose: 0.654956 2023/08/08 10:51:32 - mmengine - INFO - Epoch(train) [2][270/529] lr: 5.000000e-04 eta: 10:46:43 time: 0.341597 data_time: 0.030351 memory: 4566 loss: 0.001543 loss_kpt: 0.001543 acc_pose: 0.742261 2023/08/08 10:51:35 - mmengine - INFO - Epoch(train) [2][280/529] lr: 5.000000e-04 eta: 10:46:25 time: 0.340520 data_time: 0.030625 memory: 4566 loss: 0.001545 loss_kpt: 0.001545 acc_pose: 0.696526 2023/08/08 10:51:39 - mmengine - INFO - Epoch(train) [2][290/529] lr: 5.000000e-04 eta: 10:46:14 time: 0.341598 data_time: 0.030665 memory: 4566 loss: 0.001553 loss_kpt: 0.001553 acc_pose: 0.734412 2023/08/08 10:51:42 - mmengine - INFO - Epoch(train) [2][300/529] lr: 5.000000e-04 eta: 10:46:08 time: 0.343846 data_time: 0.030878 memory: 4566 loss: 0.001556 loss_kpt: 0.001556 acc_pose: 0.687070 2023/08/08 10:51:46 - mmengine - INFO - Epoch(train) [2][310/529] lr: 5.000000e-04 eta: 10:45:55 time: 0.344801 data_time: 0.030871 memory: 4566 loss: 0.001546 loss_kpt: 0.001546 acc_pose: 0.770315 2023/08/08 10:51:49 - mmengine - INFO - Epoch(train) [2][320/529] lr: 5.000000e-04 eta: 10:45:40 time: 0.344820 data_time: 0.030771 memory: 4566 loss: 0.001545 loss_kpt: 0.001545 acc_pose: 0.648115 2023/08/08 10:51:53 - mmengine - INFO - Epoch(train) [2][330/529] lr: 5.000000e-04 eta: 10:45:31 time: 0.345896 data_time: 0.030453 memory: 4566 loss: 0.001553 loss_kpt: 0.001553 acc_pose: 0.694137 2023/08/08 10:51:56 - mmengine - INFO - Epoch(train) [2][340/529] lr: 5.000000e-04 eta: 10:45:20 time: 0.345871 data_time: 0.030251 memory: 4566 loss: 0.001549 loss_kpt: 0.001549 acc_pose: 0.714313 2023/08/08 10:52:00 - mmengine - INFO - Epoch(train) [2][350/529] lr: 5.000000e-04 eta: 10:45:16 time: 0.346017 data_time: 0.030189 memory: 4566 loss: 0.001544 loss_kpt: 0.001544 acc_pose: 0.668448 2023/08/08 10:52:03 - mmengine - INFO - Epoch(train) [2][360/529] lr: 5.000000e-04 eta: 10:45:04 time: 0.346149 data_time: 0.030904 memory: 4566 loss: 0.001556 loss_kpt: 0.001556 acc_pose: 0.735878 2023/08/08 10:52:06 - mmengine - INFO - Epoch(train) [2][370/529] lr: 5.000000e-04 eta: 10:44:49 time: 0.345979 data_time: 0.031377 memory: 4566 loss: 0.001529 loss_kpt: 0.001529 acc_pose: 0.631942 2023/08/08 10:52:10 - mmengine - INFO - Epoch(train) [2][380/529] lr: 5.000000e-04 eta: 10:44:36 time: 0.345252 data_time: 0.031843 memory: 4566 loss: 0.001503 loss_kpt: 0.001503 acc_pose: 0.723082 2023/08/08 10:52:14 - mmengine - INFO - Epoch(train) [2][390/529] lr: 5.000000e-04 eta: 10:45:05 time: 0.351669 data_time: 0.035668 memory: 4566 loss: 0.001484 loss_kpt: 0.001484 acc_pose: 0.662283 2023/08/08 10:52:17 - mmengine - INFO - Epoch(train) [2][400/529] lr: 5.000000e-04 eta: 10:44:54 time: 0.350605 data_time: 0.035573 memory: 4566 loss: 0.001468 loss_kpt: 0.001468 acc_pose: 0.723547 2023/08/08 10:52:21 - mmengine - INFO - Epoch(train) [2][410/529] lr: 5.000000e-04 eta: 10:44:49 time: 0.351624 data_time: 0.035340 memory: 4566 loss: 0.001469 loss_kpt: 0.001469 acc_pose: 0.679934 2023/08/08 10:52:24 - mmengine - INFO - Epoch(train) [2][420/529] lr: 5.000000e-04 eta: 10:44:36 time: 0.351991 data_time: 0.034995 memory: 4566 loss: 0.001481 loss_kpt: 0.001481 acc_pose: 0.685836 2023/08/08 10:52:27 - mmengine - INFO - Epoch(train) [2][430/529] lr: 5.000000e-04 eta: 10:44:19 time: 0.351208 data_time: 0.034501 memory: 4566 loss: 0.001486 loss_kpt: 0.001486 acc_pose: 0.714723 2023/08/08 10:52:31 - mmengine - INFO - Epoch(train) [2][440/529] lr: 5.000000e-04 eta: 10:44:02 time: 0.343316 data_time: 0.030682 memory: 4566 loss: 0.001501 loss_kpt: 0.001501 acc_pose: 0.716555 2023/08/08 10:52:34 - mmengine - INFO - Epoch(train) [2][450/529] lr: 5.000000e-04 eta: 10:43:48 time: 0.342532 data_time: 0.030736 memory: 4566 loss: 0.001499 loss_kpt: 0.001499 acc_pose: 0.739240 2023/08/08 10:52:38 - mmengine - INFO - Epoch(train) [2][460/529] lr: 5.000000e-04 eta: 10:43:34 time: 0.340929 data_time: 0.030357 memory: 4566 loss: 0.001490 loss_kpt: 0.001490 acc_pose: 0.764809 2023/08/08 10:52:41 - mmengine - INFO - Epoch(train) [2][470/529] lr: 5.000000e-04 eta: 10:43:36 time: 0.343402 data_time: 0.030825 memory: 4566 loss: 0.001469 loss_kpt: 0.001469 acc_pose: 0.679758 2023/08/08 10:52:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 10:52:45 - mmengine - INFO - Epoch(train) [2][480/529] lr: 5.000000e-04 eta: 10:43:25 time: 0.344194 data_time: 0.031555 memory: 4566 loss: 0.001469 loss_kpt: 0.001469 acc_pose: 0.721416 2023/08/08 10:52:48 - mmengine - INFO - Epoch(train) [2][490/529] lr: 5.000000e-04 eta: 10:43:13 time: 0.345102 data_time: 0.032576 memory: 4566 loss: 0.001434 loss_kpt: 0.001434 acc_pose: 0.724583 2023/08/08 10:52:51 - mmengine - INFO - Epoch(train) [2][500/529] lr: 5.000000e-04 eta: 10:43:05 time: 0.346161 data_time: 0.033733 memory: 4566 loss: 0.001413 loss_kpt: 0.001413 acc_pose: 0.718887 2023/08/08 10:52:55 - mmengine - INFO - Epoch(train) [2][510/529] lr: 5.000000e-04 eta: 10:42:57 time: 0.347122 data_time: 0.034726 memory: 4566 loss: 0.001415 loss_kpt: 0.001415 acc_pose: 0.693395 2023/08/08 10:52:58 - mmengine - INFO - Epoch(train) [2][520/529] lr: 5.000000e-04 eta: 10:42:47 time: 0.344787 data_time: 0.034816 memory: 4566 loss: 0.001431 loss_kpt: 0.001431 acc_pose: 0.744665 2023/08/08 10:53:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 10:53:05 - mmengine - INFO - Epoch(train) [3][ 10/529] lr: 5.000000e-04 eta: 10:42:57 time: 0.350817 data_time: 0.037688 memory: 4566 loss: 0.001431 loss_kpt: 0.001431 acc_pose: 0.725568 2023/08/08 10:53:09 - mmengine - INFO - Epoch(train) [3][ 20/529] lr: 5.000000e-04 eta: 10:42:54 time: 0.351548 data_time: 0.036360 memory: 4566 loss: 0.001428 loss_kpt: 0.001428 acc_pose: 0.700025 2023/08/08 10:53:12 - mmengine - INFO - Epoch(train) [3][ 30/529] lr: 5.000000e-04 eta: 10:42:48 time: 0.352055 data_time: 0.035074 memory: 4566 loss: 0.001425 loss_kpt: 0.001425 acc_pose: 0.753504 2023/08/08 10:53:16 - mmengine - INFO - Epoch(train) [3][ 40/529] lr: 5.000000e-04 eta: 10:43:00 time: 0.356404 data_time: 0.034566 memory: 4566 loss: 0.001428 loss_kpt: 0.001428 acc_pose: 0.703388 2023/08/08 10:53:19 - mmengine - INFO - Epoch(train) [3][ 50/529] lr: 5.000000e-04 eta: 10:43:06 time: 0.359865 data_time: 0.034804 memory: 4566 loss: 0.001392 loss_kpt: 0.001392 acc_pose: 0.796252 2023/08/08 10:53:24 - mmengine - INFO - Epoch(train) [3][ 60/529] lr: 5.000000e-04 eta: 10:44:03 time: 0.367507 data_time: 0.034334 memory: 4566 loss: 0.001410 loss_kpt: 0.001410 acc_pose: 0.762419 2023/08/08 10:53:27 - mmengine - INFO - Epoch(train) [3][ 70/529] lr: 5.000000e-04 eta: 10:44:21 time: 0.372074 data_time: 0.034496 memory: 4566 loss: 0.001414 loss_kpt: 0.001414 acc_pose: 0.799029 2023/08/08 10:53:31 - mmengine - INFO - Epoch(train) [3][ 80/529] lr: 5.000000e-04 eta: 10:44:19 time: 0.373010 data_time: 0.034619 memory: 4566 loss: 0.001404 loss_kpt: 0.001404 acc_pose: 0.701605 2023/08/08 10:53:34 - mmengine - INFO - Epoch(train) [3][ 90/529] lr: 5.000000e-04 eta: 10:44:13 time: 0.369779 data_time: 0.034419 memory: 4566 loss: 0.001401 loss_kpt: 0.001401 acc_pose: 0.666741 2023/08/08 10:53:38 - mmengine - INFO - Epoch(train) [3][100/529] lr: 5.000000e-04 eta: 10:44:15 time: 0.369059 data_time: 0.034495 memory: 4566 loss: 0.001423 loss_kpt: 0.001423 acc_pose: 0.694061 2023/08/08 10:53:41 - mmengine - INFO - Epoch(train) [3][110/529] lr: 5.000000e-04 eta: 10:44:15 time: 0.357713 data_time: 0.030597 memory: 4566 loss: 0.001421 loss_kpt: 0.001421 acc_pose: 0.739119 2023/08/08 10:53:45 - mmengine - INFO - Epoch(train) [3][120/529] lr: 5.000000e-04 eta: 10:44:21 time: 0.355292 data_time: 0.030852 memory: 4566 loss: 0.001421 loss_kpt: 0.001421 acc_pose: 0.710175 2023/08/08 10:53:49 - mmengine - INFO - Epoch(train) [3][130/529] lr: 5.000000e-04 eta: 10:44:29 time: 0.357479 data_time: 0.030733 memory: 4566 loss: 0.001414 loss_kpt: 0.001414 acc_pose: 0.677023 2023/08/08 10:53:52 - mmengine - INFO - Epoch(train) [3][140/529] lr: 5.000000e-04 eta: 10:44:35 time: 0.360259 data_time: 0.030770 memory: 4566 loss: 0.001392 loss_kpt: 0.001392 acc_pose: 0.626936 2023/08/08 10:53:56 - mmengine - INFO - Epoch(train) [3][150/529] lr: 5.000000e-04 eta: 10:44:43 time: 0.361741 data_time: 0.030458 memory: 4566 loss: 0.001392 loss_kpt: 0.001392 acc_pose: 0.696018 2023/08/08 10:54:00 - mmengine - INFO - Epoch(train) [3][160/529] lr: 5.000000e-04 eta: 10:44:49 time: 0.363130 data_time: 0.030276 memory: 4566 loss: 0.001415 loss_kpt: 0.001415 acc_pose: 0.703805 2023/08/08 10:54:03 - mmengine - INFO - Epoch(train) [3][170/529] lr: 5.000000e-04 eta: 10:45:02 time: 0.364861 data_time: 0.030292 memory: 4566 loss: 0.001412 loss_kpt: 0.001412 acc_pose: 0.725728 2023/08/08 10:54:07 - mmengine - INFO - Epoch(train) [3][180/529] lr: 5.000000e-04 eta: 10:45:01 time: 0.363088 data_time: 0.031378 memory: 4566 loss: 0.001421 loss_kpt: 0.001421 acc_pose: 0.783792 2023/08/08 10:54:11 - mmengine - INFO - Epoch(train) [3][190/529] lr: 5.000000e-04 eta: 10:45:05 time: 0.362629 data_time: 0.032332 memory: 4566 loss: 0.001411 loss_kpt: 0.001411 acc_pose: 0.767712 2023/08/08 10:54:14 - mmengine - INFO - Epoch(train) [3][200/529] lr: 5.000000e-04 eta: 10:45:04 time: 0.360922 data_time: 0.033246 memory: 4566 loss: 0.001420 loss_kpt: 0.001420 acc_pose: 0.769757 2023/08/08 10:54:18 - mmengine - INFO - Epoch(train) [3][210/529] lr: 5.000000e-04 eta: 10:45:43 time: 0.368527 data_time: 0.033786 memory: 4566 loss: 0.001391 loss_kpt: 0.001391 acc_pose: 0.742178 2023/08/08 10:54:22 - mmengine - INFO - Epoch(train) [3][220/529] lr: 5.000000e-04 eta: 10:46:02 time: 0.370414 data_time: 0.033530 memory: 4566 loss: 0.001397 loss_kpt: 0.001397 acc_pose: 0.743620 2023/08/08 10:54:25 - mmengine - INFO - Epoch(train) [3][230/529] lr: 5.000000e-04 eta: 10:45:59 time: 0.370055 data_time: 0.033013 memory: 4566 loss: 0.001386 loss_kpt: 0.001386 acc_pose: 0.664136 2023/08/08 10:54:29 - mmengine - INFO - Epoch(train) [3][240/529] lr: 5.000000e-04 eta: 10:46:02 time: 0.370082 data_time: 0.035636 memory: 4566 loss: 0.001394 loss_kpt: 0.001394 acc_pose: 0.744529 2023/08/08 10:54:32 - mmengine - INFO - Epoch(train) [3][250/529] lr: 5.000000e-04 eta: 10:45:50 time: 0.367533 data_time: 0.034870 memory: 4566 loss: 0.001392 loss_kpt: 0.001392 acc_pose: 0.714522 2023/08/08 10:54:36 - mmengine - INFO - Epoch(train) [3][260/529] lr: 5.000000e-04 eta: 10:45:40 time: 0.356405 data_time: 0.034400 memory: 4566 loss: 0.001390 loss_kpt: 0.001390 acc_pose: 0.814703 2023/08/08 10:54:39 - mmengine - INFO - Epoch(train) [3][270/529] lr: 5.000000e-04 eta: 10:45:29 time: 0.349245 data_time: 0.034323 memory: 4566 loss: 0.001388 loss_kpt: 0.001388 acc_pose: 0.705830 2023/08/08 10:54:43 - mmengine - INFO - Epoch(train) [3][280/529] lr: 5.000000e-04 eta: 10:45:15 time: 0.346509 data_time: 0.033932 memory: 4566 loss: 0.001407 loss_kpt: 0.001407 acc_pose: 0.744317 2023/08/08 10:54:46 - mmengine - INFO - Epoch(train) [3][290/529] lr: 5.000000e-04 eta: 10:45:11 time: 0.344755 data_time: 0.030834 memory: 4566 loss: 0.001435 loss_kpt: 0.001435 acc_pose: 0.668301 2023/08/08 10:54:50 - mmengine - INFO - Epoch(train) [3][300/529] lr: 5.000000e-04 eta: 10:44:57 time: 0.344348 data_time: 0.030822 memory: 4566 loss: 0.001452 loss_kpt: 0.001452 acc_pose: 0.719172 2023/08/08 10:54:53 - mmengine - INFO - Epoch(train) [3][310/529] lr: 5.000000e-04 eta: 10:44:45 time: 0.343556 data_time: 0.030633 memory: 4566 loss: 0.001455 loss_kpt: 0.001455 acc_pose: 0.718246 2023/08/08 10:54:56 - mmengine - INFO - Epoch(train) [3][320/529] lr: 5.000000e-04 eta: 10:44:32 time: 0.342962 data_time: 0.030511 memory: 4566 loss: 0.001461 loss_kpt: 0.001461 acc_pose: 0.629710 2023/08/08 10:55:00 - mmengine - INFO - Epoch(train) [3][330/529] lr: 5.000000e-04 eta: 10:44:19 time: 0.343174 data_time: 0.030468 memory: 4566 loss: 0.001445 loss_kpt: 0.001445 acc_pose: 0.673858 2023/08/08 10:55:03 - mmengine - INFO - Epoch(train) [3][340/529] lr: 5.000000e-04 eta: 10:44:07 time: 0.340951 data_time: 0.030276 memory: 4566 loss: 0.001432 loss_kpt: 0.001432 acc_pose: 0.617018 2023/08/08 10:55:07 - mmengine - INFO - Epoch(train) [3][350/529] lr: 5.000000e-04 eta: 10:44:03 time: 0.343100 data_time: 0.030972 memory: 4566 loss: 0.001408 loss_kpt: 0.001408 acc_pose: 0.658169 2023/08/08 10:55:10 - mmengine - INFO - Epoch(train) [3][360/529] lr: 5.000000e-04 eta: 10:44:01 time: 0.345750 data_time: 0.031629 memory: 4566 loss: 0.001422 loss_kpt: 0.001422 acc_pose: 0.718563 2023/08/08 10:55:14 - mmengine - INFO - Epoch(train) [3][370/529] lr: 5.000000e-04 eta: 10:43:50 time: 0.346231 data_time: 0.032031 memory: 4566 loss: 0.001410 loss_kpt: 0.001410 acc_pose: 0.693140 2023/08/08 10:55:17 - mmengine - INFO - Epoch(train) [3][380/529] lr: 5.000000e-04 eta: 10:43:42 time: 0.347183 data_time: 0.032307 memory: 4566 loss: 0.001417 loss_kpt: 0.001417 acc_pose: 0.747414 2023/08/08 10:55:21 - mmengine - INFO - Epoch(train) [3][390/529] lr: 5.000000e-04 eta: 10:43:45 time: 0.351220 data_time: 0.032380 memory: 4566 loss: 0.001401 loss_kpt: 0.001401 acc_pose: 0.675779 2023/08/08 10:55:24 - mmengine - INFO - Epoch(train) [3][400/529] lr: 5.000000e-04 eta: 10:43:38 time: 0.350506 data_time: 0.031994 memory: 4566 loss: 0.001400 loss_kpt: 0.001400 acc_pose: 0.728095 2023/08/08 10:55:28 - mmengine - INFO - Epoch(train) [3][410/529] lr: 5.000000e-04 eta: 10:43:29 time: 0.348476 data_time: 0.031820 memory: 4566 loss: 0.001418 loss_kpt: 0.001418 acc_pose: 0.685518 2023/08/08 10:55:31 - mmengine - INFO - Epoch(train) [3][420/529] lr: 5.000000e-04 eta: 10:43:21 time: 0.349221 data_time: 0.031637 memory: 4566 loss: 0.001436 loss_kpt: 0.001436 acc_pose: 0.652133 2023/08/08 10:55:35 - mmengine - INFO - Epoch(train) [3][430/529] lr: 5.000000e-04 eta: 10:43:10 time: 0.348350 data_time: 0.031441 memory: 4566 loss: 0.001430 loss_kpt: 0.001430 acc_pose: 0.724735 2023/08/08 10:55:38 - mmengine - INFO - Epoch(train) [3][440/529] lr: 5.000000e-04 eta: 10:42:58 time: 0.344152 data_time: 0.031149 memory: 4566 loss: 0.001423 loss_kpt: 0.001423 acc_pose: 0.767709 2023/08/08 10:55:41 - mmengine - INFO - Epoch(train) [3][450/529] lr: 5.000000e-04 eta: 10:42:45 time: 0.342366 data_time: 0.030924 memory: 4566 loss: 0.001416 loss_kpt: 0.001416 acc_pose: 0.779121 2023/08/08 10:55:45 - mmengine - INFO - Epoch(train) [3][460/529] lr: 5.000000e-04 eta: 10:42:35 time: 0.342102 data_time: 0.030679 memory: 4566 loss: 0.001387 loss_kpt: 0.001387 acc_pose: 0.673705 2023/08/08 10:55:48 - mmengine - INFO - Epoch(train) [3][470/529] lr: 5.000000e-04 eta: 10:42:24 time: 0.341132 data_time: 0.030568 memory: 4566 loss: 0.001379 loss_kpt: 0.001379 acc_pose: 0.735079 2023/08/08 10:55:52 - mmengine - INFO - Epoch(train) [3][480/529] lr: 5.000000e-04 eta: 10:42:19 time: 0.342666 data_time: 0.030623 memory: 4566 loss: 0.001368 loss_kpt: 0.001368 acc_pose: 0.748828 2023/08/08 10:55:55 - mmengine - INFO - Epoch(train) [3][490/529] lr: 5.000000e-04 eta: 10:42:08 time: 0.342897 data_time: 0.030666 memory: 4566 loss: 0.001378 loss_kpt: 0.001378 acc_pose: 0.639076 2023/08/08 10:55:59 - mmengine - INFO - Epoch(train) [3][500/529] lr: 5.000000e-04 eta: 10:42:15 time: 0.348404 data_time: 0.034091 memory: 4566 loss: 0.001382 loss_kpt: 0.001382 acc_pose: 0.687742 2023/08/08 10:56:02 - mmengine - INFO - Epoch(train) [3][510/529] lr: 5.000000e-04 eta: 10:42:04 time: 0.348077 data_time: 0.033997 memory: 4566 loss: 0.001382 loss_kpt: 0.001382 acc_pose: 0.773216 2023/08/08 10:56:06 - mmengine - INFO - Epoch(train) [3][520/529] lr: 5.000000e-04 eta: 10:41:54 time: 0.348142 data_time: 0.033972 memory: 4566 loss: 0.001379 loss_kpt: 0.001379 acc_pose: 0.758127 2023/08/08 10:56:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 10:56:13 - mmengine - INFO - Epoch(train) [4][ 10/529] lr: 5.000000e-04 eta: 10:42:19 time: 0.359781 data_time: 0.038703 memory: 4566 loss: 0.001384 loss_kpt: 0.001384 acc_pose: 0.664214 2023/08/08 10:56:17 - mmengine - INFO - Epoch(train) [4][ 20/529] lr: 5.000000e-04 eta: 10:42:33 time: 0.361957 data_time: 0.035602 memory: 4566 loss: 0.001368 loss_kpt: 0.001368 acc_pose: 0.751840 2023/08/08 10:56:20 - mmengine - INFO - Epoch(train) [4][ 30/529] lr: 5.000000e-04 eta: 10:42:30 time: 0.364301 data_time: 0.035501 memory: 4566 loss: 0.001375 loss_kpt: 0.001375 acc_pose: 0.779157 2023/08/08 10:56:24 - mmengine - INFO - Epoch(train) [4][ 40/529] lr: 5.000000e-04 eta: 10:42:19 time: 0.364275 data_time: 0.035347 memory: 4566 loss: 0.001371 loss_kpt: 0.001371 acc_pose: 0.721276 2023/08/08 10:56:27 - mmengine - INFO - Epoch(train) [4][ 50/529] lr: 5.000000e-04 eta: 10:42:08 time: 0.365408 data_time: 0.035548 memory: 4566 loss: 0.001344 loss_kpt: 0.001344 acc_pose: 0.669466 2023/08/08 10:56:30 - mmengine - INFO - Epoch(train) [4][ 60/529] lr: 5.000000e-04 eta: 10:41:58 time: 0.351152 data_time: 0.030405 memory: 4566 loss: 0.001342 loss_kpt: 0.001342 acc_pose: 0.756613 2023/08/08 10:56:34 - mmengine - INFO - Epoch(train) [4][ 70/529] lr: 5.000000e-04 eta: 10:41:54 time: 0.345633 data_time: 0.030322 memory: 4566 loss: 0.001343 loss_kpt: 0.001343 acc_pose: 0.713125 2023/08/08 10:56:37 - mmengine - INFO - Epoch(train) [4][ 80/529] lr: 5.000000e-04 eta: 10:41:43 time: 0.343198 data_time: 0.030403 memory: 4566 loss: 0.001344 loss_kpt: 0.001344 acc_pose: 0.721587 2023/08/08 10:56:41 - mmengine - INFO - Epoch(train) [4][ 90/529] lr: 5.000000e-04 eta: 10:41:32 time: 0.343081 data_time: 0.031023 memory: 4566 loss: 0.001328 loss_kpt: 0.001328 acc_pose: 0.733598 2023/08/08 10:56:44 - mmengine - INFO - Epoch(train) [4][100/529] lr: 5.000000e-04 eta: 10:41:25 time: 0.343973 data_time: 0.031645 memory: 4566 loss: 0.001344 loss_kpt: 0.001344 acc_pose: 0.714792 2023/08/08 10:56:48 - mmengine - INFO - Epoch(train) [4][110/529] lr: 5.000000e-04 eta: 10:41:23 time: 0.346558 data_time: 0.032429 memory: 4566 loss: 0.001367 loss_kpt: 0.001367 acc_pose: 0.708372 2023/08/08 10:56:51 - mmengine - INFO - Epoch(train) [4][120/529] lr: 5.000000e-04 eta: 10:41:16 time: 0.345723 data_time: 0.032576 memory: 4566 loss: 0.001380 loss_kpt: 0.001380 acc_pose: 0.741332 2023/08/08 10:56:55 - mmengine - INFO - Epoch(train) [4][130/529] lr: 5.000000e-04 eta: 10:41:10 time: 0.347154 data_time: 0.033263 memory: 4566 loss: 0.001371 loss_kpt: 0.001371 acc_pose: 0.768367 2023/08/08 10:56:58 - mmengine - INFO - Epoch(train) [4][140/529] lr: 5.000000e-04 eta: 10:41:17 time: 0.352686 data_time: 0.033129 memory: 4566 loss: 0.001390 loss_kpt: 0.001390 acc_pose: 0.659314 2023/08/08 10:57:02 - mmengine - INFO - Epoch(train) [4][150/529] lr: 5.000000e-04 eta: 10:41:09 time: 0.352449 data_time: 0.033241 memory: 4566 loss: 0.001393 loss_kpt: 0.001393 acc_pose: 0.766835 2023/08/08 10:57:05 - mmengine - INFO - Epoch(train) [4][160/529] lr: 5.000000e-04 eta: 10:41:01 time: 0.350228 data_time: 0.032761 memory: 4566 loss: 0.001397 loss_kpt: 0.001397 acc_pose: 0.626293 2023/08/08 10:57:09 - mmengine - INFO - Epoch(train) [4][170/529] lr: 5.000000e-04 eta: 10:40:53 time: 0.349976 data_time: 0.032136 memory: 4566 loss: 0.001389 loss_kpt: 0.001389 acc_pose: 0.722432 2023/08/08 10:57:12 - mmengine - INFO - Epoch(train) [4][180/529] lr: 5.000000e-04 eta: 10:40:53 time: 0.351826 data_time: 0.031468 memory: 4566 loss: 0.001389 loss_kpt: 0.001389 acc_pose: 0.679631 2023/08/08 10:57:16 - mmengine - INFO - Epoch(train) [4][190/529] lr: 5.000000e-04 eta: 10:40:58 time: 0.351417 data_time: 0.031279 memory: 4566 loss: 0.001376 loss_kpt: 0.001376 acc_pose: 0.721537 2023/08/08 10:57:20 - mmengine - INFO - Epoch(train) [4][200/529] lr: 5.000000e-04 eta: 10:40:57 time: 0.353710 data_time: 0.030779 memory: 4566 loss: 0.001373 loss_kpt: 0.001373 acc_pose: 0.811852 2023/08/08 10:57:23 - mmengine - INFO - Epoch(train) [4][210/529] lr: 5.000000e-04 eta: 10:40:48 time: 0.353339 data_time: 0.030522 memory: 4566 loss: 0.001368 loss_kpt: 0.001368 acc_pose: 0.683709 2023/08/08 10:57:26 - mmengine - INFO - Epoch(train) [4][220/529] lr: 5.000000e-04 eta: 10:40:38 time: 0.352394 data_time: 0.030503 memory: 4566 loss: 0.001362 loss_kpt: 0.001362 acc_pose: 0.781912 2023/08/08 10:57:30 - mmengine - INFO - Epoch(train) [4][230/529] lr: 5.000000e-04 eta: 10:40:28 time: 0.349143 data_time: 0.030393 memory: 4566 loss: 0.001351 loss_kpt: 0.001351 acc_pose: 0.714685 2023/08/08 10:57:33 - mmengine - INFO - Epoch(train) [4][240/529] lr: 5.000000e-04 eta: 10:40:20 time: 0.344889 data_time: 0.030225 memory: 4566 loss: 0.001378 loss_kpt: 0.001378 acc_pose: 0.672481 2023/08/08 10:57:37 - mmengine - INFO - Epoch(train) [4][250/529] lr: 5.000000e-04 eta: 10:40:13 time: 0.342922 data_time: 0.030303 memory: 4566 loss: 0.001366 loss_kpt: 0.001366 acc_pose: 0.717065 2023/08/08 10:57:40 - mmengine - INFO - Epoch(train) [4][260/529] lr: 5.000000e-04 eta: 10:40:10 time: 0.344987 data_time: 0.030493 memory: 4566 loss: 0.001363 loss_kpt: 0.001363 acc_pose: 0.692928 2023/08/08 10:57:44 - mmengine - INFO - Epoch(train) [4][270/529] lr: 5.000000e-04 eta: 10:40:00 time: 0.345093 data_time: 0.030572 memory: 4566 loss: 0.001364 loss_kpt: 0.001364 acc_pose: 0.749103 2023/08/08 10:57:47 - mmengine - INFO - Epoch(train) [4][280/529] lr: 5.000000e-04 eta: 10:39:51 time: 0.345263 data_time: 0.030705 memory: 4566 loss: 0.001369 loss_kpt: 0.001369 acc_pose: 0.741168 2023/08/08 10:57:50 - mmengine - INFO - Epoch(train) [4][290/529] lr: 5.000000e-04 eta: 10:39:42 time: 0.344713 data_time: 0.030635 memory: 4566 loss: 0.001351 loss_kpt: 0.001351 acc_pose: 0.675037 2023/08/08 10:57:54 - mmengine - INFO - Epoch(train) [4][300/529] lr: 5.000000e-04 eta: 10:39:36 time: 0.344866 data_time: 0.030982 memory: 4566 loss: 0.001341 loss_kpt: 0.001341 acc_pose: 0.731022 2023/08/08 10:57:57 - mmengine - INFO - Epoch(train) [4][310/529] lr: 5.000000e-04 eta: 10:39:36 time: 0.345969 data_time: 0.031196 memory: 4566 loss: 0.001314 loss_kpt: 0.001314 acc_pose: 0.812904 2023/08/08 10:58:01 - mmengine - INFO - Epoch(train) [4][320/529] lr: 5.000000e-04 eta: 10:39:47 time: 0.352857 data_time: 0.035674 memory: 4566 loss: 0.001304 loss_kpt: 0.001304 acc_pose: 0.793835 2023/08/08 10:58:05 - mmengine - INFO - Epoch(train) [4][330/529] lr: 5.000000e-04 eta: 10:39:52 time: 0.357879 data_time: 0.036205 memory: 4566 loss: 0.001314 loss_kpt: 0.001314 acc_pose: 0.771146 2023/08/08 10:58:08 - mmengine - INFO - Epoch(train) [4][340/529] lr: 5.000000e-04 eta: 10:39:49 time: 0.360147 data_time: 0.037281 memory: 4566 loss: 0.001303 loss_kpt: 0.001303 acc_pose: 0.729426 2023/08/08 10:58:12 - mmengine - INFO - Epoch(train) [4][350/529] lr: 5.000000e-04 eta: 10:39:46 time: 0.361050 data_time: 0.037161 memory: 4566 loss: 0.001315 loss_kpt: 0.001315 acc_pose: 0.703551 2023/08/08 10:58:15 - mmengine - INFO - Epoch(train) [4][360/529] lr: 5.000000e-04 eta: 10:39:42 time: 0.359672 data_time: 0.036908 memory: 4566 loss: 0.001335 loss_kpt: 0.001335 acc_pose: 0.735954 2023/08/08 10:58:19 - mmengine - INFO - Epoch(train) [4][370/529] lr: 5.000000e-04 eta: 10:39:39 time: 0.355010 data_time: 0.032857 memory: 4566 loss: 0.001363 loss_kpt: 0.001363 acc_pose: 0.746511 2023/08/08 10:58:23 - mmengine - INFO - Epoch(train) [4][380/529] lr: 5.000000e-04 eta: 10:39:42 time: 0.354318 data_time: 0.032867 memory: 4566 loss: 0.001361 loss_kpt: 0.001361 acc_pose: 0.710101 2023/08/08 10:58:26 - mmengine - INFO - Epoch(train) [4][390/529] lr: 5.000000e-04 eta: 10:39:36 time: 0.353265 data_time: 0.031830 memory: 4566 loss: 0.001377 loss_kpt: 0.001377 acc_pose: 0.743327 2023/08/08 10:58:30 - mmengine - INFO - Epoch(train) [4][400/529] lr: 5.000000e-04 eta: 10:39:31 time: 0.352687 data_time: 0.031407 memory: 4566 loss: 0.001393 loss_kpt: 0.001393 acc_pose: 0.719468 2023/08/08 10:58:33 - mmengine - INFO - Epoch(train) [4][410/529] lr: 5.000000e-04 eta: 10:39:25 time: 0.351949 data_time: 0.031202 memory: 4566 loss: 0.001400 loss_kpt: 0.001400 acc_pose: 0.757716 2023/08/08 10:58:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 10:58:37 - mmengine - INFO - Epoch(train) [4][420/529] lr: 5.000000e-04 eta: 10:39:23 time: 0.352433 data_time: 0.030818 memory: 4566 loss: 0.001378 loss_kpt: 0.001378 acc_pose: 0.746478 2023/08/08 10:58:40 - mmengine - INFO - Epoch(train) [4][430/529] lr: 5.000000e-04 eta: 10:39:19 time: 0.349728 data_time: 0.030413 memory: 4566 loss: 0.001376 loss_kpt: 0.001376 acc_pose: 0.678878 2023/08/08 10:58:44 - mmengine - INFO - Epoch(train) [4][440/529] lr: 5.000000e-04 eta: 10:39:18 time: 0.351475 data_time: 0.030682 memory: 4566 loss: 0.001363 loss_kpt: 0.001363 acc_pose: 0.740624 2023/08/08 10:58:47 - mmengine - INFO - Epoch(train) [4][450/529] lr: 5.000000e-04 eta: 10:39:14 time: 0.351905 data_time: 0.030749 memory: 4566 loss: 0.001349 loss_kpt: 0.001349 acc_pose: 0.717825 2023/08/08 10:58:51 - mmengine - INFO - Epoch(train) [4][460/529] lr: 5.000000e-04 eta: 10:39:25 time: 0.358147 data_time: 0.031092 memory: 4566 loss: 0.001341 loss_kpt: 0.001341 acc_pose: 0.767940 2023/08/08 10:58:55 - mmengine - INFO - Epoch(train) [4][470/529] lr: 5.000000e-04 eta: 10:39:39 time: 0.364513 data_time: 0.031417 memory: 4566 loss: 0.001347 loss_kpt: 0.001347 acc_pose: 0.784127 2023/08/08 10:58:59 - mmengine - INFO - Epoch(train) [4][480/529] lr: 5.000000e-04 eta: 10:39:53 time: 0.371262 data_time: 0.031551 memory: 4566 loss: 0.001346 loss_kpt: 0.001346 acc_pose: 0.783220 2023/08/08 10:59:02 - mmengine - INFO - Epoch(train) [4][490/529] lr: 5.000000e-04 eta: 10:39:50 time: 0.370580 data_time: 0.031359 memory: 4566 loss: 0.001352 loss_kpt: 0.001352 acc_pose: 0.781438 2023/08/08 10:59:06 - mmengine - INFO - Epoch(train) [4][500/529] lr: 5.000000e-04 eta: 10:39:49 time: 0.371919 data_time: 0.031473 memory: 4566 loss: 0.001372 loss_kpt: 0.001372 acc_pose: 0.619053 2023/08/08 10:59:09 - mmengine - INFO - Epoch(train) [4][510/529] lr: 5.000000e-04 eta: 10:39:47 time: 0.367207 data_time: 0.032228 memory: 4566 loss: 0.001355 loss_kpt: 0.001355 acc_pose: 0.795555 2023/08/08 10:59:13 - mmengine - INFO - Epoch(train) [4][520/529] lr: 5.000000e-04 eta: 10:39:44 time: 0.360705 data_time: 0.032475 memory: 4566 loss: 0.001349 loss_kpt: 0.001349 acc_pose: 0.773618 2023/08/08 10:59:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 10:59:20 - mmengine - INFO - Epoch(train) [5][ 10/529] lr: 5.000000e-04 eta: 10:39:49 time: 0.358761 data_time: 0.036716 memory: 4566 loss: 0.001333 loss_kpt: 0.001333 acc_pose: 0.705517 2023/08/08 10:59:24 - mmengine - INFO - Epoch(train) [5][ 20/529] lr: 5.000000e-04 eta: 10:39:57 time: 0.361595 data_time: 0.037677 memory: 4566 loss: 0.001313 loss_kpt: 0.001313 acc_pose: 0.803974 2023/08/08 10:59:27 - mmengine - INFO - Epoch(train) [5][ 30/529] lr: 5.000000e-04 eta: 10:39:56 time: 0.362440 data_time: 0.037278 memory: 4566 loss: 0.001325 loss_kpt: 0.001325 acc_pose: 0.738043 2023/08/08 10:59:31 - mmengine - INFO - Epoch(train) [5][ 40/529] lr: 5.000000e-04 eta: 10:40:00 time: 0.365051 data_time: 0.036714 memory: 4566 loss: 0.001318 loss_kpt: 0.001318 acc_pose: 0.801892 2023/08/08 10:59:34 - mmengine - INFO - Epoch(train) [5][ 50/529] lr: 5.000000e-04 eta: 10:39:55 time: 0.366167 data_time: 0.036881 memory: 4566 loss: 0.001337 loss_kpt: 0.001337 acc_pose: 0.653488 2023/08/08 10:59:38 - mmengine - INFO - Epoch(train) [5][ 60/529] lr: 5.000000e-04 eta: 10:39:51 time: 0.360086 data_time: 0.032261 memory: 4566 loss: 0.001319 loss_kpt: 0.001319 acc_pose: 0.803673 2023/08/08 10:59:41 - mmengine - INFO - Epoch(train) [5][ 70/529] lr: 5.000000e-04 eta: 10:39:46 time: 0.355264 data_time: 0.031053 memory: 4566 loss: 0.001304 loss_kpt: 0.001304 acc_pose: 0.754460 2023/08/08 10:59:45 - mmengine - INFO - Epoch(train) [5][ 80/529] lr: 5.000000e-04 eta: 10:39:52 time: 0.357630 data_time: 0.030577 memory: 4566 loss: 0.001294 loss_kpt: 0.001294 acc_pose: 0.744250 2023/08/08 10:59:49 - mmengine - INFO - Epoch(train) [5][ 90/529] lr: 5.000000e-04 eta: 10:39:48 time: 0.354740 data_time: 0.030795 memory: 4566 loss: 0.001295 loss_kpt: 0.001295 acc_pose: 0.780561 2023/08/08 10:59:52 - mmengine - INFO - Epoch(train) [5][100/529] lr: 5.000000e-04 eta: 10:40:03 time: 0.363069 data_time: 0.031308 memory: 4566 loss: 0.001284 loss_kpt: 0.001284 acc_pose: 0.685587 2023/08/08 10:59:56 - mmengine - INFO - Epoch(train) [5][110/529] lr: 5.000000e-04 eta: 10:39:59 time: 0.363012 data_time: 0.031196 memory: 4566 loss: 0.001299 loss_kpt: 0.001299 acc_pose: 0.729441 2023/08/08 11:00:00 - mmengine - INFO - Epoch(train) [5][120/529] lr: 5.000000e-04 eta: 10:39:59 time: 0.365018 data_time: 0.031291 memory: 4566 loss: 0.001304 loss_kpt: 0.001304 acc_pose: 0.715591 2023/08/08 11:00:03 - mmengine - INFO - Epoch(train) [5][130/529] lr: 5.000000e-04 eta: 10:39:59 time: 0.362838 data_time: 0.031148 memory: 4566 loss: 0.001303 loss_kpt: 0.001303 acc_pose: 0.708412 2023/08/08 11:00:07 - mmengine - INFO - Epoch(train) [5][140/529] lr: 5.000000e-04 eta: 10:39:55 time: 0.362505 data_time: 0.031063 memory: 4566 loss: 0.001311 loss_kpt: 0.001311 acc_pose: 0.776381 2023/08/08 11:00:10 - mmengine - INFO - Epoch(train) [5][150/529] lr: 5.000000e-04 eta: 10:39:56 time: 0.357106 data_time: 0.030915 memory: 4566 loss: 0.001304 loss_kpt: 0.001304 acc_pose: 0.751771 2023/08/08 11:00:14 - mmengine - INFO - Epoch(train) [5][160/529] lr: 5.000000e-04 eta: 10:39:53 time: 0.357451 data_time: 0.030850 memory: 4566 loss: 0.001305 loss_kpt: 0.001305 acc_pose: 0.723439 2023/08/08 11:00:17 - mmengine - INFO - Epoch(train) [5][170/529] lr: 5.000000e-04 eta: 10:39:48 time: 0.355426 data_time: 0.030724 memory: 4566 loss: 0.001309 loss_kpt: 0.001309 acc_pose: 0.683916 2023/08/08 11:00:21 - mmengine - INFO - Epoch(train) [5][180/529] lr: 5.000000e-04 eta: 10:39:44 time: 0.353911 data_time: 0.030737 memory: 4566 loss: 0.001310 loss_kpt: 0.001310 acc_pose: 0.744238 2023/08/08 11:00:24 - mmengine - INFO - Epoch(train) [5][190/529] lr: 5.000000e-04 eta: 10:39:40 time: 0.353900 data_time: 0.030554 memory: 4566 loss: 0.001307 loss_kpt: 0.001307 acc_pose: 0.814038 2023/08/08 11:00:28 - mmengine - INFO - Epoch(train) [5][200/529] lr: 5.000000e-04 eta: 10:39:40 time: 0.353531 data_time: 0.030364 memory: 4566 loss: 0.001310 loss_kpt: 0.001310 acc_pose: 0.766431 2023/08/08 11:00:32 - mmengine - INFO - Epoch(train) [5][210/529] lr: 5.000000e-04 eta: 10:39:41 time: 0.355266 data_time: 0.031022 memory: 4566 loss: 0.001308 loss_kpt: 0.001308 acc_pose: 0.784528 2023/08/08 11:00:35 - mmengine - INFO - Epoch(train) [5][220/529] lr: 5.000000e-04 eta: 10:39:40 time: 0.356850 data_time: 0.031206 memory: 4566 loss: 0.001308 loss_kpt: 0.001308 acc_pose: 0.803591 2023/08/08 11:00:39 - mmengine - INFO - Epoch(train) [5][230/529] lr: 5.000000e-04 eta: 10:39:36 time: 0.357127 data_time: 0.031373 memory: 4566 loss: 0.001314 loss_kpt: 0.001314 acc_pose: 0.807096 2023/08/08 11:00:42 - mmengine - INFO - Epoch(train) [5][240/529] lr: 5.000000e-04 eta: 10:39:33 time: 0.357689 data_time: 0.031353 memory: 4566 loss: 0.001316 loss_kpt: 0.001316 acc_pose: 0.716397 2023/08/08 11:00:46 - mmengine - INFO - Epoch(train) [5][250/529] lr: 5.000000e-04 eta: 10:39:39 time: 0.360192 data_time: 0.031258 memory: 4566 loss: 0.001302 loss_kpt: 0.001302 acc_pose: 0.823159 2023/08/08 11:00:50 - mmengine - INFO - Epoch(train) [5][260/529] lr: 5.000000e-04 eta: 10:39:49 time: 0.364083 data_time: 0.031421 memory: 4566 loss: 0.001284 loss_kpt: 0.001284 acc_pose: 0.759491 2023/08/08 11:00:54 - mmengine - INFO - Epoch(train) [5][270/529] lr: 5.000000e-04 eta: 10:40:04 time: 0.371333 data_time: 0.031918 memory: 4566 loss: 0.001279 loss_kpt: 0.001279 acc_pose: 0.785603 2023/08/08 11:00:57 - mmengine - INFO - Epoch(train) [5][280/529] lr: 5.000000e-04 eta: 10:40:03 time: 0.372701 data_time: 0.031747 memory: 4566 loss: 0.001265 loss_kpt: 0.001265 acc_pose: 0.775035 2023/08/08 11:01:01 - mmengine - INFO - Epoch(train) [5][290/529] lr: 5.000000e-04 eta: 10:40:07 time: 0.375829 data_time: 0.035284 memory: 4566 loss: 0.001259 loss_kpt: 0.001259 acc_pose: 0.697191 2023/08/08 11:01:05 - mmengine - INFO - Epoch(train) [5][300/529] lr: 5.000000e-04 eta: 10:40:04 time: 0.371814 data_time: 0.035315 memory: 4566 loss: 0.001269 loss_kpt: 0.001269 acc_pose: 0.741880 2023/08/08 11:01:08 - mmengine - INFO - Epoch(train) [5][310/529] lr: 5.000000e-04 eta: 10:40:00 time: 0.365791 data_time: 0.034568 memory: 4566 loss: 0.001267 loss_kpt: 0.001267 acc_pose: 0.746993 2023/08/08 11:01:12 - mmengine - INFO - Epoch(train) [5][320/529] lr: 5.000000e-04 eta: 10:39:55 time: 0.357395 data_time: 0.033883 memory: 4566 loss: 0.001259 loss_kpt: 0.001259 acc_pose: 0.785929 2023/08/08 11:01:15 - mmengine - INFO - Epoch(train) [5][330/529] lr: 5.000000e-04 eta: 10:39:56 time: 0.357833 data_time: 0.034194 memory: 4566 loss: 0.001277 loss_kpt: 0.001277 acc_pose: 0.844592 2023/08/08 11:01:19 - mmengine - INFO - Epoch(train) [5][340/529] lr: 5.000000e-04 eta: 10:39:52 time: 0.354367 data_time: 0.031163 memory: 4566 loss: 0.001280 loss_kpt: 0.001280 acc_pose: 0.759887 2023/08/08 11:01:22 - mmengine - INFO - Epoch(train) [5][350/529] lr: 5.000000e-04 eta: 10:39:48 time: 0.354265 data_time: 0.031560 memory: 4566 loss: 0.001268 loss_kpt: 0.001268 acc_pose: 0.796005 2023/08/08 11:01:26 - mmengine - INFO - Epoch(train) [5][360/529] lr: 5.000000e-04 eta: 10:39:44 time: 0.354539 data_time: 0.031977 memory: 4566 loss: 0.001278 loss_kpt: 0.001278 acc_pose: 0.831133 2023/08/08 11:01:29 - mmengine - INFO - Epoch(train) [5][370/529] lr: 5.000000e-04 eta: 10:39:43 time: 0.355722 data_time: 0.032575 memory: 4566 loss: 0.001286 loss_kpt: 0.001286 acc_pose: 0.807091 2023/08/08 11:01:33 - mmengine - INFO - Epoch(train) [5][380/529] lr: 5.000000e-04 eta: 10:39:42 time: 0.355160 data_time: 0.032764 memory: 4566 loss: 0.001287 loss_kpt: 0.001287 acc_pose: 0.778977 2023/08/08 11:01:37 - mmengine - INFO - Epoch(train) [5][390/529] lr: 5.000000e-04 eta: 10:39:46 time: 0.358979 data_time: 0.032625 memory: 4566 loss: 0.001292 loss_kpt: 0.001292 acc_pose: 0.672770 2023/08/08 11:01:40 - mmengine - INFO - Epoch(train) [5][400/529] lr: 5.000000e-04 eta: 10:39:41 time: 0.358304 data_time: 0.032129 memory: 4566 loss: 0.001317 loss_kpt: 0.001317 acc_pose: 0.787742 2023/08/08 11:01:44 - mmengine - INFO - Epoch(train) [5][410/529] lr: 5.000000e-04 eta: 10:39:36 time: 0.357696 data_time: 0.031890 memory: 4566 loss: 0.001312 loss_kpt: 0.001312 acc_pose: 0.794513 2023/08/08 11:01:47 - mmengine - INFO - Epoch(train) [5][420/529] lr: 5.000000e-04 eta: 10:39:39 time: 0.360037 data_time: 0.031589 memory: 4566 loss: 0.001310 loss_kpt: 0.001310 acc_pose: 0.740767 2023/08/08 11:01:51 - mmengine - INFO - Epoch(train) [5][430/529] lr: 5.000000e-04 eta: 10:39:39 time: 0.360154 data_time: 0.031255 memory: 4566 loss: 0.001316 loss_kpt: 0.001316 acc_pose: 0.788854 2023/08/08 11:01:55 - mmengine - INFO - Epoch(train) [5][440/529] lr: 5.000000e-04 eta: 10:39:37 time: 0.357738 data_time: 0.031219 memory: 4566 loss: 0.001291 loss_kpt: 0.001291 acc_pose: 0.759265 2023/08/08 11:01:58 - mmengine - INFO - Epoch(train) [5][450/529] lr: 5.000000e-04 eta: 10:39:37 time: 0.359912 data_time: 0.031614 memory: 4566 loss: 0.001272 loss_kpt: 0.001272 acc_pose: 0.827638 2023/08/08 11:02:02 - mmengine - INFO - Epoch(train) [5][460/529] lr: 5.000000e-04 eta: 10:39:34 time: 0.360886 data_time: 0.031475 memory: 4566 loss: 0.001270 loss_kpt: 0.001270 acc_pose: 0.740932 2023/08/08 11:02:05 - mmengine - INFO - Epoch(train) [5][470/529] lr: 5.000000e-04 eta: 10:39:31 time: 0.357873 data_time: 0.031229 memory: 4566 loss: 0.001267 loss_kpt: 0.001267 acc_pose: 0.700939 2023/08/08 11:02:09 - mmengine - INFO - Epoch(train) [5][480/529] lr: 5.000000e-04 eta: 10:39:33 time: 0.359512 data_time: 0.031077 memory: 4566 loss: 0.001223 loss_kpt: 0.001223 acc_pose: 0.790681 2023/08/08 11:02:13 - mmengine - INFO - Epoch(train) [5][490/529] lr: 5.000000e-04 eta: 10:39:31 time: 0.358902 data_time: 0.030741 memory: 4566 loss: 0.001249 loss_kpt: 0.001249 acc_pose: 0.757814 2023/08/08 11:02:16 - mmengine - INFO - Epoch(train) [5][500/529] lr: 5.000000e-04 eta: 10:39:34 time: 0.360888 data_time: 0.034035 memory: 4566 loss: 0.001232 loss_kpt: 0.001232 acc_pose: 0.808134 2023/08/08 11:02:20 - mmengine - INFO - Epoch(train) [5][510/529] lr: 5.000000e-04 eta: 10:39:34 time: 0.362124 data_time: 0.034064 memory: 4566 loss: 0.001223 loss_kpt: 0.001223 acc_pose: 0.777967 2023/08/08 11:02:23 - mmengine - INFO - Epoch(train) [5][520/529] lr: 5.000000e-04 eta: 10:39:29 time: 0.361276 data_time: 0.034053 memory: 4566 loss: 0.001228 loss_kpt: 0.001228 acc_pose: 0.753855 2023/08/08 11:02:26 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:02:30 - mmengine - INFO - Epoch(train) [6][ 10/529] lr: 5.000000e-04 eta: 10:39:23 time: 0.358255 data_time: 0.037835 memory: 4566 loss: 0.001225 loss_kpt: 0.001225 acc_pose: 0.796668 2023/08/08 11:02:34 - mmengine - INFO - Epoch(train) [6][ 20/529] lr: 5.000000e-04 eta: 10:39:18 time: 0.354225 data_time: 0.034240 memory: 4566 loss: 0.001218 loss_kpt: 0.001218 acc_pose: 0.786076 2023/08/08 11:02:37 - mmengine - INFO - Epoch(train) [6][ 30/529] lr: 5.000000e-04 eta: 10:39:12 time: 0.351365 data_time: 0.033983 memory: 4566 loss: 0.001224 loss_kpt: 0.001224 acc_pose: 0.748431 2023/08/08 11:02:41 - mmengine - INFO - Epoch(train) [6][ 40/529] lr: 5.000000e-04 eta: 10:39:10 time: 0.352682 data_time: 0.034416 memory: 4566 loss: 0.001229 loss_kpt: 0.001229 acc_pose: 0.672340 2023/08/08 11:02:44 - mmengine - INFO - Epoch(train) [6][ 50/529] lr: 5.000000e-04 eta: 10:39:04 time: 0.354255 data_time: 0.034642 memory: 4566 loss: 0.001237 loss_kpt: 0.001237 acc_pose: 0.704375 2023/08/08 11:02:48 - mmengine - INFO - Epoch(train) [6][ 60/529] lr: 5.000000e-04 eta: 10:38:58 time: 0.350161 data_time: 0.030504 memory: 4566 loss: 0.001248 loss_kpt: 0.001248 acc_pose: 0.772469 2023/08/08 11:02:51 - mmengine - INFO - Epoch(train) [6][ 70/529] lr: 5.000000e-04 eta: 10:38:58 time: 0.352553 data_time: 0.030411 memory: 4566 loss: 0.001278 loss_kpt: 0.001278 acc_pose: 0.786241 2023/08/08 11:02:55 - mmengine - INFO - Epoch(train) [6][ 80/529] lr: 5.000000e-04 eta: 10:38:54 time: 0.353736 data_time: 0.030792 memory: 4566 loss: 0.001273 loss_kpt: 0.001273 acc_pose: 0.839666 2023/08/08 11:02:58 - mmengine - INFO - Epoch(train) [6][ 90/529] lr: 5.000000e-04 eta: 10:38:51 time: 0.353022 data_time: 0.030368 memory: 4566 loss: 0.001280 loss_kpt: 0.001280 acc_pose: 0.721410 2023/08/08 11:03:02 - mmengine - INFO - Epoch(train) [6][100/529] lr: 5.000000e-04 eta: 10:38:48 time: 0.354722 data_time: 0.030653 memory: 4566 loss: 0.001285 loss_kpt: 0.001285 acc_pose: 0.797514 2023/08/08 11:03:05 - mmengine - INFO - Epoch(train) [6][110/529] lr: 5.000000e-04 eta: 10:38:46 time: 0.356502 data_time: 0.030920 memory: 4566 loss: 0.001292 loss_kpt: 0.001292 acc_pose: 0.742216 2023/08/08 11:03:09 - mmengine - INFO - Epoch(train) [6][120/529] lr: 5.000000e-04 eta: 10:38:42 time: 0.354634 data_time: 0.031326 memory: 4566 loss: 0.001277 loss_kpt: 0.001277 acc_pose: 0.803340 2023/08/08 11:03:13 - mmengine - INFO - Epoch(train) [6][130/529] lr: 5.000000e-04 eta: 10:38:38 time: 0.354511 data_time: 0.031514 memory: 4566 loss: 0.001300 loss_kpt: 0.001300 acc_pose: 0.728846 2023/08/08 11:03:16 - mmengine - INFO - Epoch(train) [6][140/529] lr: 5.000000e-04 eta: 10:38:34 time: 0.354408 data_time: 0.031930 memory: 4566 loss: 0.001280 loss_kpt: 0.001280 acc_pose: 0.767033 2023/08/08 11:03:20 - mmengine - INFO - Epoch(train) [6][150/529] lr: 5.000000e-04 eta: 10:38:38 time: 0.357630 data_time: 0.035211 memory: 4566 loss: 0.001278 loss_kpt: 0.001278 acc_pose: 0.734314 2023/08/08 11:03:23 - mmengine - INFO - Epoch(train) [6][160/529] lr: 5.000000e-04 eta: 10:38:39 time: 0.359448 data_time: 0.035718 memory: 4566 loss: 0.001276 loss_kpt: 0.001276 acc_pose: 0.770000 2023/08/08 11:03:27 - mmengine - INFO - Epoch(train) [6][170/529] lr: 5.000000e-04 eta: 10:38:35 time: 0.358959 data_time: 0.035289 memory: 4566 loss: 0.001307 loss_kpt: 0.001307 acc_pose: 0.695209 2023/08/08 11:03:30 - mmengine - INFO - Epoch(train) [6][180/529] lr: 5.000000e-04 eta: 10:38:30 time: 0.358788 data_time: 0.034956 memory: 4566 loss: 0.001278 loss_kpt: 0.001278 acc_pose: 0.739374 2023/08/08 11:03:34 - mmengine - INFO - Epoch(train) [6][190/529] lr: 5.000000e-04 eta: 10:38:25 time: 0.357977 data_time: 0.034413 memory: 4566 loss: 0.001294 loss_kpt: 0.001294 acc_pose: 0.775962 2023/08/08 11:03:37 - mmengine - INFO - Epoch(train) [6][200/529] lr: 5.000000e-04 eta: 10:38:21 time: 0.354013 data_time: 0.031131 memory: 4566 loss: 0.001282 loss_kpt: 0.001282 acc_pose: 0.673839 2023/08/08 11:03:41 - mmengine - INFO - Epoch(train) [6][210/529] lr: 5.000000e-04 eta: 10:38:16 time: 0.350582 data_time: 0.030273 memory: 4566 loss: 0.001285 loss_kpt: 0.001285 acc_pose: 0.779175 2023/08/08 11:03:45 - mmengine - INFO - Epoch(train) [6][220/529] lr: 5.000000e-04 eta: 10:38:15 time: 0.352817 data_time: 0.031089 memory: 4566 loss: 0.001269 loss_kpt: 0.001269 acc_pose: 0.727133 2023/08/08 11:03:48 - mmengine - INFO - Epoch(train) [6][230/529] lr: 5.000000e-04 eta: 10:38:12 time: 0.353366 data_time: 0.031424 memory: 4566 loss: 0.001276 loss_kpt: 0.001276 acc_pose: 0.734108 2023/08/08 11:03:52 - mmengine - INFO - Epoch(train) [6][240/529] lr: 5.000000e-04 eta: 10:38:10 time: 0.355587 data_time: 0.031501 memory: 4566 loss: 0.001276 loss_kpt: 0.001276 acc_pose: 0.757084 2023/08/08 11:03:55 - mmengine - INFO - Epoch(train) [6][250/529] lr: 5.000000e-04 eta: 10:38:04 time: 0.354582 data_time: 0.031395 memory: 4566 loss: 0.001273 loss_kpt: 0.001273 acc_pose: 0.796196 2023/08/08 11:03:59 - mmengine - INFO - Epoch(train) [6][260/529] lr: 5.000000e-04 eta: 10:37:59 time: 0.354513 data_time: 0.031508 memory: 4566 loss: 0.001242 loss_kpt: 0.001242 acc_pose: 0.805076 2023/08/08 11:04:02 - mmengine - INFO - Epoch(train) [6][270/529] lr: 5.000000e-04 eta: 10:37:54 time: 0.351949 data_time: 0.030533 memory: 4566 loss: 0.001239 loss_kpt: 0.001239 acc_pose: 0.777829 2023/08/08 11:04:06 - mmengine - INFO - Epoch(train) [6][280/529] lr: 5.000000e-04 eta: 10:37:50 time: 0.352000 data_time: 0.030279 memory: 4566 loss: 0.001244 loss_kpt: 0.001244 acc_pose: 0.803036 2023/08/08 11:04:09 - mmengine - INFO - Epoch(train) [6][290/529] lr: 5.000000e-04 eta: 10:37:47 time: 0.351133 data_time: 0.030969 memory: 4566 loss: 0.001247 loss_kpt: 0.001247 acc_pose: 0.814848 2023/08/08 11:04:13 - mmengine - INFO - Epoch(train) [6][300/529] lr: 5.000000e-04 eta: 10:37:43 time: 0.351691 data_time: 0.031296 memory: 4566 loss: 0.001263 loss_kpt: 0.001263 acc_pose: 0.686609 2023/08/08 11:04:16 - mmengine - INFO - Epoch(train) [6][310/529] lr: 5.000000e-04 eta: 10:37:37 time: 0.351373 data_time: 0.031081 memory: 4566 loss: 0.001286 loss_kpt: 0.001286 acc_pose: 0.747135 2023/08/08 11:04:20 - mmengine - INFO - Epoch(train) [6][320/529] lr: 5.000000e-04 eta: 10:37:34 time: 0.352621 data_time: 0.031234 memory: 4566 loss: 0.001289 loss_kpt: 0.001289 acc_pose: 0.803799 2023/08/08 11:04:24 - mmengine - INFO - Epoch(train) [6][330/529] lr: 5.000000e-04 eta: 10:37:36 time: 0.355844 data_time: 0.031054 memory: 4566 loss: 0.001307 loss_kpt: 0.001307 acc_pose: 0.790911 2023/08/08 11:04:27 - mmengine - INFO - Epoch(train) [6][340/529] lr: 5.000000e-04 eta: 10:37:36 time: 0.357171 data_time: 0.030495 memory: 4566 loss: 0.001305 loss_kpt: 0.001305 acc_pose: 0.755608 2023/08/08 11:04:31 - mmengine - INFO - Epoch(train) [6][350/529] lr: 5.000000e-04 eta: 10:37:33 time: 0.358360 data_time: 0.030291 memory: 4566 loss: 0.001282 loss_kpt: 0.001282 acc_pose: 0.747930 2023/08/08 11:04:33 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:04:34 - mmengine - INFO - Epoch(train) [6][360/529] lr: 5.000000e-04 eta: 10:37:36 time: 0.362894 data_time: 0.030516 memory: 4566 loss: 0.001255 loss_kpt: 0.001255 acc_pose: 0.790949 2023/08/08 11:04:38 - mmengine - INFO - Epoch(train) [6][370/529] lr: 5.000000e-04 eta: 10:37:30 time: 0.361755 data_time: 0.030583 memory: 4566 loss: 0.001260 loss_kpt: 0.001260 acc_pose: 0.775889 2023/08/08 11:04:41 - mmengine - INFO - Epoch(train) [6][380/529] lr: 5.000000e-04 eta: 10:37:26 time: 0.357671 data_time: 0.030702 memory: 4566 loss: 0.001246 loss_kpt: 0.001246 acc_pose: 0.736543 2023/08/08 11:04:45 - mmengine - INFO - Epoch(train) [6][390/529] lr: 5.000000e-04 eta: 10:37:21 time: 0.355465 data_time: 0.030812 memory: 4566 loss: 0.001263 loss_kpt: 0.001263 acc_pose: 0.737622 2023/08/08 11:04:48 - mmengine - INFO - Epoch(train) [6][400/529] lr: 5.000000e-04 eta: 10:37:18 time: 0.355319 data_time: 0.031036 memory: 4566 loss: 0.001275 loss_kpt: 0.001275 acc_pose: 0.688392 2023/08/08 11:04:52 - mmengine - INFO - Epoch(train) [6][410/529] lr: 5.000000e-04 eta: 10:37:15 time: 0.352297 data_time: 0.031467 memory: 4566 loss: 0.001307 loss_kpt: 0.001307 acc_pose: 0.764063 2023/08/08 11:04:56 - mmengine - INFO - Epoch(train) [6][420/529] lr: 5.000000e-04 eta: 10:37:16 time: 0.355759 data_time: 0.032054 memory: 4566 loss: 0.001301 loss_kpt: 0.001301 acc_pose: 0.772682 2023/08/08 11:04:59 - mmengine - INFO - Epoch(train) [6][430/529] lr: 5.000000e-04 eta: 10:37:12 time: 0.356075 data_time: 0.032532 memory: 4566 loss: 0.001310 loss_kpt: 0.001310 acc_pose: 0.751353 2023/08/08 11:05:03 - mmengine - INFO - Epoch(train) [6][440/529] lr: 5.000000e-04 eta: 10:37:08 time: 0.356611 data_time: 0.033003 memory: 4566 loss: 0.001292 loss_kpt: 0.001292 acc_pose: 0.754373 2023/08/08 11:05:06 - mmengine - INFO - Epoch(train) [6][450/529] lr: 5.000000e-04 eta: 10:37:06 time: 0.357012 data_time: 0.033420 memory: 4566 loss: 0.001286 loss_kpt: 0.001286 acc_pose: 0.762675 2023/08/08 11:05:10 - mmengine - INFO - Epoch(train) [6][460/529] lr: 5.000000e-04 eta: 10:37:02 time: 0.356350 data_time: 0.033242 memory: 4566 loss: 0.001264 loss_kpt: 0.001264 acc_pose: 0.799263 2023/08/08 11:05:13 - mmengine - INFO - Epoch(train) [6][470/529] lr: 5.000000e-04 eta: 10:36:58 time: 0.353706 data_time: 0.032923 memory: 4566 loss: 0.001249 loss_kpt: 0.001249 acc_pose: 0.746114 2023/08/08 11:05:17 - mmengine - INFO - Epoch(train) [6][480/529] lr: 5.000000e-04 eta: 10:37:06 time: 0.361147 data_time: 0.036585 memory: 4566 loss: 0.001226 loss_kpt: 0.001226 acc_pose: 0.726631 2023/08/08 11:05:21 - mmengine - INFO - Epoch(train) [6][490/529] lr: 5.000000e-04 eta: 10:37:15 time: 0.368534 data_time: 0.036180 memory: 4566 loss: 0.001220 loss_kpt: 0.001220 acc_pose: 0.716394 2023/08/08 11:05:25 - mmengine - INFO - Epoch(train) [6][500/529] lr: 5.000000e-04 eta: 10:37:19 time: 0.372342 data_time: 0.039007 memory: 4566 loss: 0.001217 loss_kpt: 0.001217 acc_pose: 0.802971 2023/08/08 11:05:28 - mmengine - INFO - Epoch(train) [6][510/529] lr: 5.000000e-04 eta: 10:37:14 time: 0.371465 data_time: 0.038554 memory: 4566 loss: 0.001227 loss_kpt: 0.001227 acc_pose: 0.751633 2023/08/08 11:05:32 - mmengine - INFO - Epoch(train) [6][520/529] lr: 5.000000e-04 eta: 10:37:13 time: 0.373160 data_time: 0.038714 memory: 4566 loss: 0.001235 loss_kpt: 0.001235 acc_pose: 0.772504 2023/08/08 11:05:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:05:39 - mmengine - INFO - Epoch(train) [7][ 10/529] lr: 5.000000e-04 eta: 10:37:13 time: 0.362889 data_time: 0.039013 memory: 4566 loss: 0.001226 loss_kpt: 0.001226 acc_pose: 0.778786 2023/08/08 11:05:43 - mmengine - INFO - Epoch(train) [7][ 20/529] lr: 5.000000e-04 eta: 10:37:09 time: 0.358438 data_time: 0.035681 memory: 4566 loss: 0.001230 loss_kpt: 0.001230 acc_pose: 0.774548 2023/08/08 11:05:46 - mmengine - INFO - Epoch(train) [7][ 30/529] lr: 5.000000e-04 eta: 10:37:08 time: 0.360544 data_time: 0.036489 memory: 4566 loss: 0.001237 loss_kpt: 0.001237 acc_pose: 0.748607 2023/08/08 11:05:50 - mmengine - INFO - Epoch(train) [7][ 40/529] lr: 5.000000e-04 eta: 10:37:04 time: 0.359650 data_time: 0.037374 memory: 4566 loss: 0.001237 loss_kpt: 0.001237 acc_pose: 0.732636 2023/08/08 11:05:53 - mmengine - INFO - Epoch(train) [7][ 50/529] lr: 5.000000e-04 eta: 10:37:03 time: 0.361704 data_time: 0.038006 memory: 4566 loss: 0.001263 loss_kpt: 0.001263 acc_pose: 0.787432 2023/08/08 11:05:57 - mmengine - INFO - Epoch(train) [7][ 60/529] lr: 5.000000e-04 eta: 10:37:00 time: 0.357159 data_time: 0.033403 memory: 4566 loss: 0.001262 loss_kpt: 0.001262 acc_pose: 0.780891 2023/08/08 11:06:00 - mmengine - INFO - Epoch(train) [7][ 70/529] lr: 5.000000e-04 eta: 10:36:58 time: 0.358092 data_time: 0.033217 memory: 4566 loss: 0.001247 loss_kpt: 0.001247 acc_pose: 0.805023 2023/08/08 11:06:04 - mmengine - INFO - Epoch(train) [7][ 80/529] lr: 5.000000e-04 eta: 10:36:52 time: 0.355751 data_time: 0.032903 memory: 4566 loss: 0.001247 loss_kpt: 0.001247 acc_pose: 0.775327 2023/08/08 11:06:07 - mmengine - INFO - Epoch(train) [7][ 90/529] lr: 5.000000e-04 eta: 10:36:47 time: 0.354603 data_time: 0.031661 memory: 4566 loss: 0.001233 loss_kpt: 0.001233 acc_pose: 0.775391 2023/08/08 11:06:11 - mmengine - INFO - Epoch(train) [7][100/529] lr: 5.000000e-04 eta: 10:36:41 time: 0.351949 data_time: 0.031507 memory: 4566 loss: 0.001239 loss_kpt: 0.001239 acc_pose: 0.762370 2023/08/08 11:06:14 - mmengine - INFO - Epoch(train) [7][110/529] lr: 5.000000e-04 eta: 10:36:36 time: 0.350532 data_time: 0.031471 memory: 4566 loss: 0.001246 loss_kpt: 0.001246 acc_pose: 0.727128 2023/08/08 11:06:18 - mmengine - INFO - Epoch(train) [7][120/529] lr: 5.000000e-04 eta: 10:36:33 time: 0.349703 data_time: 0.032112 memory: 4566 loss: 0.001266 loss_kpt: 0.001266 acc_pose: 0.730414 2023/08/08 11:06:21 - mmengine - INFO - Epoch(train) [7][130/529] lr: 5.000000e-04 eta: 10:36:28 time: 0.350454 data_time: 0.031728 memory: 4566 loss: 0.001254 loss_kpt: 0.001254 acc_pose: 0.771674 2023/08/08 11:06:25 - mmengine - INFO - Epoch(train) [7][140/529] lr: 5.000000e-04 eta: 10:36:28 time: 0.353798 data_time: 0.031613 memory: 4566 loss: 0.001266 loss_kpt: 0.001266 acc_pose: 0.779063 2023/08/08 11:06:29 - mmengine - INFO - Epoch(train) [7][150/529] lr: 5.000000e-04 eta: 10:36:22 time: 0.353405 data_time: 0.031921 memory: 4566 loss: 0.001237 loss_kpt: 0.001237 acc_pose: 0.724670 2023/08/08 11:06:32 - mmengine - INFO - Epoch(train) [7][160/529] lr: 5.000000e-04 eta: 10:36:23 time: 0.357562 data_time: 0.035203 memory: 4566 loss: 0.001217 loss_kpt: 0.001217 acc_pose: 0.792658 2023/08/08 11:06:36 - mmengine - INFO - Epoch(train) [7][170/529] lr: 5.000000e-04 eta: 10:36:22 time: 0.358855 data_time: 0.035451 memory: 4566 loss: 0.001207 loss_kpt: 0.001207 acc_pose: 0.711964 2023/08/08 11:06:39 - mmengine - INFO - Epoch(train) [7][180/529] lr: 5.000000e-04 eta: 10:36:19 time: 0.359767 data_time: 0.035579 memory: 4566 loss: 0.001219 loss_kpt: 0.001219 acc_pose: 0.701832 2023/08/08 11:06:43 - mmengine - INFO - Epoch(train) [7][190/529] lr: 5.000000e-04 eta: 10:36:17 time: 0.358145 data_time: 0.035741 memory: 4566 loss: 0.001215 loss_kpt: 0.001215 acc_pose: 0.747896 2023/08/08 11:06:47 - mmengine - INFO - Epoch(train) [7][200/529] lr: 5.000000e-04 eta: 10:36:12 time: 0.359044 data_time: 0.035487 memory: 4566 loss: 0.001228 loss_kpt: 0.001228 acc_pose: 0.632983 2023/08/08 11:06:50 - mmengine - INFO - Epoch(train) [7][210/529] lr: 5.000000e-04 eta: 10:36:07 time: 0.355463 data_time: 0.031765 memory: 4566 loss: 0.001231 loss_kpt: 0.001231 acc_pose: 0.808680 2023/08/08 11:06:54 - mmengine - INFO - Epoch(train) [7][220/529] lr: 5.000000e-04 eta: 10:36:08 time: 0.356754 data_time: 0.030881 memory: 4566 loss: 0.001221 loss_kpt: 0.001221 acc_pose: 0.718867 2023/08/08 11:06:57 - mmengine - INFO - Epoch(train) [7][230/529] lr: 5.000000e-04 eta: 10:36:01 time: 0.353879 data_time: 0.030859 memory: 4566 loss: 0.001225 loss_kpt: 0.001225 acc_pose: 0.764066 2023/08/08 11:07:01 - mmengine - INFO - Epoch(train) [7][240/529] lr: 5.000000e-04 eta: 10:36:00 time: 0.354754 data_time: 0.031053 memory: 4566 loss: 0.001238 loss_kpt: 0.001238 acc_pose: 0.736433 2023/08/08 11:07:04 - mmengine - INFO - Epoch(train) [7][250/529] lr: 5.000000e-04 eta: 10:35:54 time: 0.354290 data_time: 0.030998 memory: 4566 loss: 0.001246 loss_kpt: 0.001246 acc_pose: 0.766925 2023/08/08 11:07:08 - mmengine - INFO - Epoch(train) [7][260/529] lr: 5.000000e-04 eta: 10:35:47 time: 0.353111 data_time: 0.030844 memory: 4566 loss: 0.001273 loss_kpt: 0.001273 acc_pose: 0.743738 2023/08/08 11:07:11 - mmengine - INFO - Epoch(train) [7][270/529] lr: 5.000000e-04 eta: 10:35:42 time: 0.348831 data_time: 0.030761 memory: 4566 loss: 0.001301 loss_kpt: 0.001301 acc_pose: 0.740357 2023/08/08 11:07:15 - mmengine - INFO - Epoch(train) [7][280/529] lr: 5.000000e-04 eta: 10:35:39 time: 0.351842 data_time: 0.030812 memory: 4566 loss: 0.001316 loss_kpt: 0.001316 acc_pose: 0.676748 2023/08/08 11:07:18 - mmengine - INFO - Epoch(train) [7][290/529] lr: 5.000000e-04 eta: 10:35:33 time: 0.348525 data_time: 0.030500 memory: 4566 loss: 0.001322 loss_kpt: 0.001322 acc_pose: 0.725421 2023/08/08 11:07:22 - mmengine - INFO - Epoch(train) [7][300/529] lr: 5.000000e-04 eta: 10:35:29 time: 0.349651 data_time: 0.030725 memory: 4566 loss: 0.001327 loss_kpt: 0.001327 acc_pose: 0.767226 2023/08/08 11:07:25 - mmengine - INFO - Epoch(train) [7][310/529] lr: 5.000000e-04 eta: 10:35:27 time: 0.352380 data_time: 0.030734 memory: 4566 loss: 0.001308 loss_kpt: 0.001308 acc_pose: 0.723905 2023/08/08 11:07:29 - mmengine - INFO - Epoch(train) [7][320/529] lr: 5.000000e-04 eta: 10:35:21 time: 0.352402 data_time: 0.030605 memory: 4566 loss: 0.001293 loss_kpt: 0.001293 acc_pose: 0.702824 2023/08/08 11:07:32 - mmengine - INFO - Epoch(train) [7][330/529] lr: 5.000000e-04 eta: 10:35:15 time: 0.349952 data_time: 0.030580 memory: 4566 loss: 0.001278 loss_kpt: 0.001278 acc_pose: 0.770952 2023/08/08 11:07:36 - mmengine - INFO - Epoch(train) [7][340/529] lr: 5.000000e-04 eta: 10:35:12 time: 0.352446 data_time: 0.031570 memory: 4566 loss: 0.001268 loss_kpt: 0.001268 acc_pose: 0.637747 2023/08/08 11:07:39 - mmengine - INFO - Epoch(train) [7][350/529] lr: 5.000000e-04 eta: 10:35:06 time: 0.350693 data_time: 0.031222 memory: 4566 loss: 0.001250 loss_kpt: 0.001250 acc_pose: 0.746526 2023/08/08 11:07:43 - mmengine - INFO - Epoch(train) [7][360/529] lr: 5.000000e-04 eta: 10:35:09 time: 0.354174 data_time: 0.035295 memory: 4566 loss: 0.001249 loss_kpt: 0.001249 acc_pose: 0.733159 2023/08/08 11:07:47 - mmengine - INFO - Epoch(train) [7][370/529] lr: 5.000000e-04 eta: 10:35:08 time: 0.357483 data_time: 0.035851 memory: 4566 loss: 0.001237 loss_kpt: 0.001237 acc_pose: 0.822587 2023/08/08 11:07:50 - mmengine - INFO - Epoch(train) [7][380/529] lr: 5.000000e-04 eta: 10:35:03 time: 0.358483 data_time: 0.036687 memory: 4566 loss: 0.001238 loss_kpt: 0.001238 acc_pose: 0.821871 2023/08/08 11:07:54 - mmengine - INFO - Epoch(train) [7][390/529] lr: 5.000000e-04 eta: 10:35:00 time: 0.357859 data_time: 0.035761 memory: 4566 loss: 0.001228 loss_kpt: 0.001228 acc_pose: 0.677803 2023/08/08 11:07:57 - mmengine - INFO - Epoch(train) [7][400/529] lr: 5.000000e-04 eta: 10:34:53 time: 0.357968 data_time: 0.035963 memory: 4566 loss: 0.001231 loss_kpt: 0.001231 acc_pose: 0.767624 2023/08/08 11:08:01 - mmengine - INFO - Epoch(train) [7][410/529] lr: 5.000000e-04 eta: 10:34:49 time: 0.353060 data_time: 0.032335 memory: 4566 loss: 0.001240 loss_kpt: 0.001240 acc_pose: 0.711665 2023/08/08 11:08:04 - mmengine - INFO - Epoch(train) [7][420/529] lr: 5.000000e-04 eta: 10:34:47 time: 0.351770 data_time: 0.032330 memory: 4566 loss: 0.001239 loss_kpt: 0.001239 acc_pose: 0.746561 2023/08/08 11:08:08 - mmengine - INFO - Epoch(train) [7][430/529] lr: 5.000000e-04 eta: 10:34:42 time: 0.352018 data_time: 0.031780 memory: 4566 loss: 0.001226 loss_kpt: 0.001226 acc_pose: 0.791503 2023/08/08 11:08:11 - mmengine - INFO - Epoch(train) [7][440/529] lr: 5.000000e-04 eta: 10:34:36 time: 0.349872 data_time: 0.032238 memory: 4566 loss: 0.001229 loss_kpt: 0.001229 acc_pose: 0.732467 2023/08/08 11:08:15 - mmengine - INFO - Epoch(train) [7][450/529] lr: 5.000000e-04 eta: 10:34:33 time: 0.352578 data_time: 0.032306 memory: 4566 loss: 0.001221 loss_kpt: 0.001221 acc_pose: 0.721780 2023/08/08 11:08:18 - mmengine - INFO - Epoch(train) [7][460/529] lr: 5.000000e-04 eta: 10:34:27 time: 0.351329 data_time: 0.031928 memory: 4566 loss: 0.001207 loss_kpt: 0.001207 acc_pose: 0.752704 2023/08/08 11:08:22 - mmengine - INFO - Epoch(train) [7][470/529] lr: 5.000000e-04 eta: 10:34:21 time: 0.348705 data_time: 0.031569 memory: 4566 loss: 0.001211 loss_kpt: 0.001211 acc_pose: 0.748157 2023/08/08 11:08:25 - mmengine - INFO - Epoch(train) [7][480/529] lr: 5.000000e-04 eta: 10:34:20 time: 0.351569 data_time: 0.031269 memory: 4566 loss: 0.001204 loss_kpt: 0.001204 acc_pose: 0.729541 2023/08/08 11:08:29 - mmengine - INFO - Epoch(train) [7][490/529] lr: 5.000000e-04 eta: 10:34:15 time: 0.352598 data_time: 0.030792 memory: 4566 loss: 0.001195 loss_kpt: 0.001195 acc_pose: 0.790857 2023/08/08 11:08:32 - mmengine - INFO - Epoch(train) [7][500/529] lr: 5.000000e-04 eta: 10:34:12 time: 0.351976 data_time: 0.030737 memory: 4566 loss: 0.001203 loss_kpt: 0.001203 acc_pose: 0.767005 2023/08/08 11:08:36 - mmengine - INFO - Epoch(train) [7][510/529] lr: 5.000000e-04 eta: 10:34:16 time: 0.358744 data_time: 0.031127 memory: 4566 loss: 0.001199 loss_kpt: 0.001199 acc_pose: 0.771083 2023/08/08 11:08:40 - mmengine - INFO - Epoch(train) [7][520/529] lr: 5.000000e-04 eta: 10:34:09 time: 0.358395 data_time: 0.031070 memory: 4566 loss: 0.001185 loss_kpt: 0.001185 acc_pose: 0.767574 2023/08/08 11:08:43 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:08:47 - mmengine - INFO - Epoch(train) [8][ 10/529] lr: 5.000000e-04 eta: 10:34:21 time: 0.369472 data_time: 0.035112 memory: 4566 loss: 0.001193 loss_kpt: 0.001193 acc_pose: 0.858686 2023/08/08 11:08:51 - mmengine - INFO - Epoch(train) [8][ 20/529] lr: 5.000000e-04 eta: 10:34:27 time: 0.376086 data_time: 0.035257 memory: 4566 loss: 0.001179 loss_kpt: 0.001179 acc_pose: 0.768767 2023/08/08 11:08:54 - mmengine - INFO - Epoch(train) [8][ 30/529] lr: 5.000000e-04 eta: 10:34:24 time: 0.371528 data_time: 0.035063 memory: 4566 loss: 0.001189 loss_kpt: 0.001189 acc_pose: 0.853502 2023/08/08 11:08:58 - mmengine - INFO - Epoch(train) [8][ 40/529] lr: 5.000000e-04 eta: 10:34:24 time: 0.376036 data_time: 0.038591 memory: 4566 loss: 0.001195 loss_kpt: 0.001195 acc_pose: 0.843919 2023/08/08 11:09:02 - mmengine - INFO - Epoch(train) [8][ 50/529] lr: 5.000000e-04 eta: 10:34:22 time: 0.377221 data_time: 0.039229 memory: 4566 loss: 0.001173 loss_kpt: 0.001173 acc_pose: 0.753728 2023/08/08 11:09:05 - mmengine - INFO - Epoch(train) [8][ 60/529] lr: 5.000000e-04 eta: 10:34:19 time: 0.365548 data_time: 0.034867 memory: 4566 loss: 0.001197 loss_kpt: 0.001197 acc_pose: 0.775819 2023/08/08 11:09:09 - mmengine - INFO - Epoch(train) [8][ 70/529] lr: 5.000000e-04 eta: 10:34:20 time: 0.361908 data_time: 0.035305 memory: 4566 loss: 0.001243 loss_kpt: 0.001243 acc_pose: 0.562821 2023/08/08 11:09:13 - mmengine - INFO - Epoch(train) [8][ 80/529] lr: 5.000000e-04 eta: 10:34:24 time: 0.367248 data_time: 0.035537 memory: 4566 loss: 0.001237 loss_kpt: 0.001237 acc_pose: 0.706433 2023/08/08 11:09:17 - mmengine - INFO - Epoch(train) [8][ 90/529] lr: 5.000000e-04 eta: 10:34:29 time: 0.370354 data_time: 0.032401 memory: 4566 loss: 0.001243 loss_kpt: 0.001243 acc_pose: 0.839998 2023/08/08 11:09:20 - mmengine - INFO - Epoch(train) [8][100/529] lr: 5.000000e-04 eta: 10:34:23 time: 0.368205 data_time: 0.032203 memory: 4566 loss: 0.001251 loss_kpt: 0.001251 acc_pose: 0.850020 2023/08/08 11:09:24 - mmengine - INFO - Epoch(train) [8][110/529] lr: 5.000000e-04 eta: 10:34:21 time: 0.368601 data_time: 0.032170 memory: 4566 loss: 0.001243 loss_kpt: 0.001243 acc_pose: 0.801200 2023/08/08 11:09:28 - mmengine - INFO - Epoch(train) [8][120/529] lr: 5.000000e-04 eta: 10:34:25 time: 0.370514 data_time: 0.031842 memory: 4566 loss: 0.001199 loss_kpt: 0.001199 acc_pose: 0.750255 2023/08/08 11:09:31 - mmengine - INFO - Epoch(train) [8][130/529] lr: 5.000000e-04 eta: 10:34:23 time: 0.366490 data_time: 0.032066 memory: 4566 loss: 0.001230 loss_kpt: 0.001230 acc_pose: 0.728285 2023/08/08 11:09:35 - mmengine - INFO - Epoch(train) [8][140/529] lr: 5.000000e-04 eta: 10:34:19 time: 0.360396 data_time: 0.031764 memory: 4566 loss: 0.001224 loss_kpt: 0.001224 acc_pose: 0.754522 2023/08/08 11:09:38 - mmengine - INFO - Epoch(train) [8][150/529] lr: 5.000000e-04 eta: 10:34:16 time: 0.362246 data_time: 0.032072 memory: 4566 loss: 0.001245 loss_kpt: 0.001245 acc_pose: 0.770856 2023/08/08 11:09:42 - mmengine - INFO - Epoch(train) [8][160/529] lr: 5.000000e-04 eta: 10:34:12 time: 0.360852 data_time: 0.032077 memory: 4566 loss: 0.001224 loss_kpt: 0.001224 acc_pose: 0.810754 2023/08/08 11:09:45 - mmengine - INFO - Epoch(train) [8][170/529] lr: 5.000000e-04 eta: 10:34:07 time: 0.355345 data_time: 0.031689 memory: 4566 loss: 0.001242 loss_kpt: 0.001242 acc_pose: 0.771135 2023/08/08 11:09:49 - mmengine - INFO - Epoch(train) [8][180/529] lr: 5.000000e-04 eta: 10:34:04 time: 0.354079 data_time: 0.031406 memory: 4566 loss: 0.001201 loss_kpt: 0.001201 acc_pose: 0.706683 2023/08/08 11:09:52 - mmengine - INFO - Epoch(train) [8][190/529] lr: 5.000000e-04 eta: 10:34:02 time: 0.356044 data_time: 0.032141 memory: 4566 loss: 0.001210 loss_kpt: 0.001210 acc_pose: 0.767144 2023/08/08 11:09:56 - mmengine - INFO - Epoch(train) [8][200/529] lr: 5.000000e-04 eta: 10:33:59 time: 0.355342 data_time: 0.032058 memory: 4566 loss: 0.001227 loss_kpt: 0.001227 acc_pose: 0.722531 2023/08/08 11:10:00 - mmengine - INFO - Epoch(train) [8][210/529] lr: 5.000000e-04 eta: 10:33:54 time: 0.354680 data_time: 0.031982 memory: 4566 loss: 0.001249 loss_kpt: 0.001249 acc_pose: 0.865882 2023/08/08 11:10:03 - mmengine - INFO - Epoch(train) [8][220/529] lr: 5.000000e-04 eta: 10:34:01 time: 0.363222 data_time: 0.032451 memory: 4566 loss: 0.001263 loss_kpt: 0.001263 acc_pose: 0.741265 2023/08/08 11:10:07 - mmengine - INFO - Epoch(train) [8][230/529] lr: 5.000000e-04 eta: 10:34:00 time: 0.364654 data_time: 0.032607 memory: 4566 loss: 0.001293 loss_kpt: 0.001293 acc_pose: 0.723334 2023/08/08 11:10:11 - mmengine - INFO - Epoch(train) [8][240/529] lr: 5.000000e-04 eta: 10:33:57 time: 0.363738 data_time: 0.032100 memory: 4566 loss: 0.001298 loss_kpt: 0.001298 acc_pose: 0.770819 2023/08/08 11:10:14 - mmengine - INFO - Epoch(train) [8][250/529] lr: 5.000000e-04 eta: 10:33:59 time: 0.368149 data_time: 0.032787 memory: 4566 loss: 0.001263 loss_kpt: 0.001263 acc_pose: 0.717475 2023/08/08 11:10:18 - mmengine - INFO - Epoch(train) [8][260/529] lr: 5.000000e-04 eta: 10:33:54 time: 0.368263 data_time: 0.033432 memory: 4566 loss: 0.001237 loss_kpt: 0.001237 acc_pose: 0.728392 2023/08/08 11:10:22 - mmengine - INFO - Epoch(train) [8][270/529] lr: 5.000000e-04 eta: 10:33:53 time: 0.361929 data_time: 0.033314 memory: 4566 loss: 0.001209 loss_kpt: 0.001209 acc_pose: 0.789861 2023/08/08 11:10:25 - mmengine - INFO - Epoch(train) [8][280/529] lr: 5.000000e-04 eta: 10:33:48 time: 0.359773 data_time: 0.032796 memory: 4566 loss: 0.001205 loss_kpt: 0.001205 acc_pose: 0.815907 2023/08/08 11:10:29 - mmengine - INFO - Epoch(train) [8][290/529] lr: 5.000000e-04 eta: 10:33:51 time: 0.363650 data_time: 0.032497 memory: 4566 loss: 0.001191 loss_kpt: 0.001191 acc_pose: 0.764701 2023/08/08 11:10:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:10:32 - mmengine - INFO - Epoch(train) [8][300/529] lr: 5.000000e-04 eta: 10:33:46 time: 0.358600 data_time: 0.031758 memory: 4566 loss: 0.001196 loss_kpt: 0.001196 acc_pose: 0.697319 2023/08/08 11:10:36 - mmengine - INFO - Epoch(train) [8][310/529] lr: 5.000000e-04 eta: 10:33:44 time: 0.360664 data_time: 0.031413 memory: 4566 loss: 0.001222 loss_kpt: 0.001222 acc_pose: 0.783983 2023/08/08 11:10:39 - mmengine - INFO - Epoch(train) [8][320/529] lr: 5.000000e-04 eta: 10:33:39 time: 0.357831 data_time: 0.031109 memory: 4566 loss: 0.001221 loss_kpt: 0.001221 acc_pose: 0.780793 2023/08/08 11:10:43 - mmengine - INFO - Epoch(train) [8][330/529] lr: 5.000000e-04 eta: 10:33:34 time: 0.357458 data_time: 0.031130 memory: 4566 loss: 0.001200 loss_kpt: 0.001200 acc_pose: 0.841584 2023/08/08 11:10:46 - mmengine - INFO - Epoch(train) [8][340/529] lr: 5.000000e-04 eta: 10:33:29 time: 0.351881 data_time: 0.031056 memory: 4566 loss: 0.001206 loss_kpt: 0.001206 acc_pose: 0.698437 2023/08/08 11:10:50 - mmengine - INFO - Epoch(train) [8][350/529] lr: 5.000000e-04 eta: 10:33:24 time: 0.352156 data_time: 0.030864 memory: 4566 loss: 0.001197 loss_kpt: 0.001197 acc_pose: 0.798138 2023/08/08 11:10:53 - mmengine - INFO - Epoch(train) [8][360/529] lr: 5.000000e-04 eta: 10:33:20 time: 0.350515 data_time: 0.030658 memory: 4566 loss: 0.001212 loss_kpt: 0.001212 acc_pose: 0.723542 2023/08/08 11:10:57 - mmengine - INFO - Epoch(train) [8][370/529] lr: 5.000000e-04 eta: 10:33:19 time: 0.353619 data_time: 0.030841 memory: 4566 loss: 0.001238 loss_kpt: 0.001238 acc_pose: 0.763711 2023/08/08 11:11:01 - mmengine - INFO - Epoch(train) [8][380/529] lr: 5.000000e-04 eta: 10:33:14 time: 0.353304 data_time: 0.030753 memory: 4566 loss: 0.001262 loss_kpt: 0.001262 acc_pose: 0.700904 2023/08/08 11:11:04 - mmengine - INFO - Epoch(train) [8][390/529] lr: 5.000000e-04 eta: 10:33:09 time: 0.353491 data_time: 0.030782 memory: 4566 loss: 0.001274 loss_kpt: 0.001274 acc_pose: 0.816684 2023/08/08 11:11:08 - mmengine - INFO - Epoch(train) [8][400/529] lr: 5.000000e-04 eta: 10:33:05 time: 0.353487 data_time: 0.030820 memory: 4566 loss: 0.001296 loss_kpt: 0.001296 acc_pose: 0.697224 2023/08/08 11:11:11 - mmengine - INFO - Epoch(train) [8][410/529] lr: 5.000000e-04 eta: 10:33:01 time: 0.354204 data_time: 0.030989 memory: 4566 loss: 0.001278 loss_kpt: 0.001278 acc_pose: 0.744873 2023/08/08 11:11:15 - mmengine - INFO - Epoch(train) [8][420/529] lr: 5.000000e-04 eta: 10:33:02 time: 0.355499 data_time: 0.031255 memory: 4566 loss: 0.001259 loss_kpt: 0.001259 acc_pose: 0.705567 2023/08/08 11:11:19 - mmengine - INFO - Epoch(train) [8][430/529] lr: 5.000000e-04 eta: 10:33:01 time: 0.358828 data_time: 0.032192 memory: 4566 loss: 0.001241 loss_kpt: 0.001241 acc_pose: 0.710340 2023/08/08 11:11:22 - mmengine - INFO - Epoch(train) [8][440/529] lr: 5.000000e-04 eta: 10:32:57 time: 0.359490 data_time: 0.032370 memory: 4566 loss: 0.001210 loss_kpt: 0.001210 acc_pose: 0.788921 2023/08/08 11:11:26 - mmengine - INFO - Epoch(train) [8][450/529] lr: 5.000000e-04 eta: 10:32:53 time: 0.360045 data_time: 0.032379 memory: 4566 loss: 0.001201 loss_kpt: 0.001201 acc_pose: 0.745052 2023/08/08 11:11:29 - mmengine - INFO - Epoch(train) [8][460/529] lr: 5.000000e-04 eta: 10:32:49 time: 0.359038 data_time: 0.032006 memory: 4566 loss: 0.001193 loss_kpt: 0.001193 acc_pose: 0.765668 2023/08/08 11:11:33 - mmengine - INFO - Epoch(train) [8][470/529] lr: 5.000000e-04 eta: 10:32:46 time: 0.356289 data_time: 0.032337 memory: 4566 loss: 0.001197 loss_kpt: 0.001197 acc_pose: 0.770919 2023/08/08 11:11:36 - mmengine - INFO - Epoch(train) [8][480/529] lr: 5.000000e-04 eta: 10:32:42 time: 0.354422 data_time: 0.032129 memory: 4566 loss: 0.001216 loss_kpt: 0.001216 acc_pose: 0.738614 2023/08/08 11:11:40 - mmengine - INFO - Epoch(train) [8][490/529] lr: 5.000000e-04 eta: 10:32:43 time: 0.358608 data_time: 0.036242 memory: 4566 loss: 0.001242 loss_kpt: 0.001242 acc_pose: 0.735962 2023/08/08 11:11:44 - mmengine - INFO - Epoch(train) [8][500/529] lr: 5.000000e-04 eta: 10:32:38 time: 0.357291 data_time: 0.036212 memory: 4566 loss: 0.001238 loss_kpt: 0.001238 acc_pose: 0.726590 2023/08/08 11:11:47 - mmengine - INFO - Epoch(train) [8][510/529] lr: 5.000000e-04 eta: 10:32:33 time: 0.356759 data_time: 0.036171 memory: 4566 loss: 0.001222 loss_kpt: 0.001222 acc_pose: 0.796145 2023/08/08 11:11:50 - mmengine - INFO - Epoch(train) [8][520/529] lr: 5.000000e-04 eta: 10:32:28 time: 0.355147 data_time: 0.035321 memory: 4566 loss: 0.001213 loss_kpt: 0.001213 acc_pose: 0.808212 2023/08/08 11:11:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:11:57 - mmengine - INFO - Epoch(train) [9][ 10/529] lr: 5.000000e-04 eta: 10:32:24 time: 0.352933 data_time: 0.034535 memory: 4566 loss: 0.001165 loss_kpt: 0.001165 acc_pose: 0.787369 2023/08/08 11:12:01 - mmengine - INFO - Epoch(train) [9][ 20/529] lr: 5.000000e-04 eta: 10:32:21 time: 0.354573 data_time: 0.034897 memory: 4566 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.776789 2023/08/08 11:12:04 - mmengine - INFO - Epoch(train) [9][ 30/529] lr: 5.000000e-04 eta: 10:32:16 time: 0.355026 data_time: 0.035964 memory: 4566 loss: 0.001166 loss_kpt: 0.001166 acc_pose: 0.759142 2023/08/08 11:12:08 - mmengine - INFO - Epoch(train) [9][ 40/529] lr: 5.000000e-04 eta: 10:32:11 time: 0.355490 data_time: 0.036730 memory: 4566 loss: 0.001174 loss_kpt: 0.001174 acc_pose: 0.734410 2023/08/08 11:12:12 - mmengine - INFO - Epoch(train) [9][ 50/529] lr: 5.000000e-04 eta: 10:32:09 time: 0.358202 data_time: 0.037257 memory: 4566 loss: 0.001194 loss_kpt: 0.001194 acc_pose: 0.822664 2023/08/08 11:12:15 - mmengine - INFO - Epoch(train) [9][ 60/529] lr: 5.000000e-04 eta: 10:32:08 time: 0.356916 data_time: 0.033044 memory: 4566 loss: 0.001206 loss_kpt: 0.001206 acc_pose: 0.770653 2023/08/08 11:12:19 - mmengine - INFO - Epoch(train) [9][ 70/529] lr: 5.000000e-04 eta: 10:32:02 time: 0.354380 data_time: 0.032690 memory: 4566 loss: 0.001192 loss_kpt: 0.001192 acc_pose: 0.760735 2023/08/08 11:12:22 - mmengine - INFO - Epoch(train) [9][ 80/529] lr: 5.000000e-04 eta: 10:31:57 time: 0.354113 data_time: 0.031785 memory: 4566 loss: 0.001184 loss_kpt: 0.001184 acc_pose: 0.762851 2023/08/08 11:12:26 - mmengine - INFO - Epoch(train) [9][ 90/529] lr: 5.000000e-04 eta: 10:31:53 time: 0.354568 data_time: 0.031308 memory: 4566 loss: 0.001180 loss_kpt: 0.001180 acc_pose: 0.803446 2023/08/08 11:12:29 - mmengine - INFO - Epoch(train) [9][100/529] lr: 5.000000e-04 eta: 10:31:49 time: 0.352770 data_time: 0.031841 memory: 4566 loss: 0.001185 loss_kpt: 0.001185 acc_pose: 0.726717 2023/08/08 11:12:33 - mmengine - INFO - Epoch(train) [9][110/529] lr: 5.000000e-04 eta: 10:31:42 time: 0.348553 data_time: 0.031597 memory: 4566 loss: 0.001171 loss_kpt: 0.001171 acc_pose: 0.812597 2023/08/08 11:12:36 - mmengine - INFO - Epoch(train) [9][120/529] lr: 5.000000e-04 eta: 10:31:38 time: 0.349971 data_time: 0.031391 memory: 4566 loss: 0.001202 loss_kpt: 0.001202 acc_pose: 0.811174 2023/08/08 11:12:40 - mmengine - INFO - Epoch(train) [9][130/529] lr: 5.000000e-04 eta: 10:31:32 time: 0.349108 data_time: 0.031338 memory: 4566 loss: 0.001214 loss_kpt: 0.001214 acc_pose: 0.645616 2023/08/08 11:12:43 - mmengine - INFO - Epoch(train) [9][140/529] lr: 5.000000e-04 eta: 10:31:25 time: 0.347049 data_time: 0.030966 memory: 4566 loss: 0.001207 loss_kpt: 0.001207 acc_pose: 0.745541 2023/08/08 11:12:47 - mmengine - INFO - Epoch(train) [9][150/529] lr: 5.000000e-04 eta: 10:31:26 time: 0.350696 data_time: 0.030823 memory: 4566 loss: 0.001209 loss_kpt: 0.001209 acc_pose: 0.773062 2023/08/08 11:12:50 - mmengine - INFO - Epoch(train) [9][160/529] lr: 5.000000e-04 eta: 10:31:19 time: 0.350544 data_time: 0.030995 memory: 4566 loss: 0.001196 loss_kpt: 0.001196 acc_pose: 0.838214 2023/08/08 11:12:54 - mmengine - INFO - Epoch(train) [9][170/529] lr: 5.000000e-04 eta: 10:31:12 time: 0.348487 data_time: 0.031198 memory: 4566 loss: 0.001186 loss_kpt: 0.001186 acc_pose: 0.752544 2023/08/08 11:12:57 - mmengine - INFO - Epoch(train) [9][180/529] lr: 5.000000e-04 eta: 10:31:07 time: 0.348935 data_time: 0.031177 memory: 4566 loss: 0.001179 loss_kpt: 0.001179 acc_pose: 0.772636 2023/08/08 11:13:01 - mmengine - INFO - Epoch(train) [9][190/529] lr: 5.000000e-04 eta: 10:31:02 time: 0.350271 data_time: 0.031613 memory: 4566 loss: 0.001183 loss_kpt: 0.001183 acc_pose: 0.787213 2023/08/08 11:13:04 - mmengine - INFO - Epoch(train) [9][200/529] lr: 5.000000e-04 eta: 10:30:56 time: 0.345383 data_time: 0.031163 memory: 4566 loss: 0.001182 loss_kpt: 0.001182 acc_pose: 0.696690 2023/08/08 11:13:07 - mmengine - INFO - Epoch(train) [9][210/529] lr: 5.000000e-04 eta: 10:30:52 time: 0.346965 data_time: 0.031314 memory: 4566 loss: 0.001207 loss_kpt: 0.001207 acc_pose: 0.735807 2023/08/08 11:13:11 - mmengine - INFO - Epoch(train) [9][220/529] lr: 5.000000e-04 eta: 10:30:45 time: 0.346916 data_time: 0.031267 memory: 4566 loss: 0.001205 loss_kpt: 0.001205 acc_pose: 0.821609 2023/08/08 11:13:14 - mmengine - INFO - Epoch(train) [9][230/529] lr: 5.000000e-04 eta: 10:30:42 time: 0.349334 data_time: 0.031248 memory: 4566 loss: 0.001197 loss_kpt: 0.001197 acc_pose: 0.767055 2023/08/08 11:13:18 - mmengine - INFO - Epoch(train) [9][240/529] lr: 5.000000e-04 eta: 10:30:35 time: 0.347568 data_time: 0.030780 memory: 4566 loss: 0.001195 loss_kpt: 0.001195 acc_pose: 0.766734 2023/08/08 11:13:21 - mmengine - INFO - Epoch(train) [9][250/529] lr: 5.000000e-04 eta: 10:30:30 time: 0.347864 data_time: 0.031115 memory: 4566 loss: 0.001200 loss_kpt: 0.001200 acc_pose: 0.821170 2023/08/08 11:13:25 - mmengine - INFO - Epoch(train) [9][260/529] lr: 5.000000e-04 eta: 10:30:24 time: 0.346485 data_time: 0.030816 memory: 4566 loss: 0.001189 loss_kpt: 0.001189 acc_pose: 0.802254 2023/08/08 11:13:28 - mmengine - INFO - Epoch(train) [9][270/529] lr: 5.000000e-04 eta: 10:30:20 time: 0.349296 data_time: 0.031625 memory: 4566 loss: 0.001187 loss_kpt: 0.001187 acc_pose: 0.709499 2023/08/08 11:13:32 - mmengine - INFO - Epoch(train) [9][280/529] lr: 5.000000e-04 eta: 10:30:14 time: 0.345719 data_time: 0.031549 memory: 4566 loss: 0.001221 loss_kpt: 0.001221 acc_pose: 0.734457 2023/08/08 11:13:35 - mmengine - INFO - Epoch(train) [9][290/529] lr: 5.000000e-04 eta: 10:30:08 time: 0.346911 data_time: 0.031628 memory: 4566 loss: 0.001222 loss_kpt: 0.001222 acc_pose: 0.740591 2023/08/08 11:13:39 - mmengine - INFO - Epoch(train) [9][300/529] lr: 5.000000e-04 eta: 10:30:08 time: 0.350869 data_time: 0.031406 memory: 4566 loss: 0.001222 loss_kpt: 0.001222 acc_pose: 0.776732 2023/08/08 11:13:43 - mmengine - INFO - Epoch(train) [9][310/529] lr: 5.000000e-04 eta: 10:30:13 time: 0.360479 data_time: 0.035444 memory: 4566 loss: 0.001226 loss_kpt: 0.001226 acc_pose: 0.790872 2023/08/08 11:13:46 - mmengine - INFO - Epoch(train) [9][320/529] lr: 5.000000e-04 eta: 10:30:07 time: 0.358231 data_time: 0.034698 memory: 4566 loss: 0.001236 loss_kpt: 0.001236 acc_pose: 0.764012 2023/08/08 11:13:50 - mmengine - INFO - Epoch(train) [9][330/529] lr: 5.000000e-04 eta: 10:30:04 time: 0.361897 data_time: 0.034986 memory: 4566 loss: 0.001236 loss_kpt: 0.001236 acc_pose: 0.713334 2023/08/08 11:13:53 - mmengine - INFO - Epoch(train) [9][340/529] lr: 5.000000e-04 eta: 10:29:58 time: 0.360806 data_time: 0.034945 memory: 4566 loss: 0.001229 loss_kpt: 0.001229 acc_pose: 0.730425 2023/08/08 11:13:57 - mmengine - INFO - Epoch(train) [9][350/529] lr: 5.000000e-04 eta: 10:29:51 time: 0.355858 data_time: 0.034777 memory: 4566 loss: 0.001224 loss_kpt: 0.001224 acc_pose: 0.744482 2023/08/08 11:14:00 - mmengine - INFO - Epoch(train) [9][360/529] lr: 5.000000e-04 eta: 10:29:46 time: 0.347132 data_time: 0.030705 memory: 4566 loss: 0.001216 loss_kpt: 0.001216 acc_pose: 0.794531 2023/08/08 11:14:04 - mmengine - INFO - Epoch(train) [9][370/529] lr: 5.000000e-04 eta: 10:29:39 time: 0.346601 data_time: 0.030612 memory: 4566 loss: 0.001196 loss_kpt: 0.001196 acc_pose: 0.806643 2023/08/08 11:14:07 - mmengine - INFO - Epoch(train) [9][380/529] lr: 5.000000e-04 eta: 10:29:35 time: 0.345360 data_time: 0.031089 memory: 4566 loss: 0.001169 loss_kpt: 0.001169 acc_pose: 0.780974 2023/08/08 11:14:11 - mmengine - INFO - Epoch(train) [9][390/529] lr: 5.000000e-04 eta: 10:29:34 time: 0.349429 data_time: 0.031644 memory: 4566 loss: 0.001182 loss_kpt: 0.001182 acc_pose: 0.789266 2023/08/08 11:14:15 - mmengine - INFO - Epoch(train) [9][400/529] lr: 5.000000e-04 eta: 10:29:36 time: 0.357274 data_time: 0.032480 memory: 4566 loss: 0.001187 loss_kpt: 0.001187 acc_pose: 0.743520 2023/08/08 11:14:18 - mmengine - INFO - Epoch(train) [9][410/529] lr: 5.000000e-04 eta: 10:29:38 time: 0.363119 data_time: 0.032843 memory: 4566 loss: 0.001192 loss_kpt: 0.001192 acc_pose: 0.815733 2023/08/08 11:14:22 - mmengine - INFO - Epoch(train) [9][420/529] lr: 5.000000e-04 eta: 10:29:33 time: 0.365166 data_time: 0.033447 memory: 4566 loss: 0.001206 loss_kpt: 0.001206 acc_pose: 0.781164 2023/08/08 11:14:25 - mmengine - INFO - Epoch(train) [9][430/529] lr: 5.000000e-04 eta: 10:29:29 time: 0.364984 data_time: 0.032813 memory: 4566 loss: 0.001212 loss_kpt: 0.001212 acc_pose: 0.701725 2023/08/08 11:14:29 - mmengine - INFO - Epoch(train) [9][440/529] lr: 5.000000e-04 eta: 10:29:25 time: 0.363246 data_time: 0.032595 memory: 4566 loss: 0.001200 loss_kpt: 0.001200 acc_pose: 0.791610 2023/08/08 11:14:32 - mmengine - INFO - Epoch(train) [9][450/529] lr: 5.000000e-04 eta: 10:29:22 time: 0.357997 data_time: 0.032138 memory: 4566 loss: 0.001192 loss_kpt: 0.001192 acc_pose: 0.823885 2023/08/08 11:14:36 - mmengine - INFO - Epoch(train) [9][460/529] lr: 5.000000e-04 eta: 10:29:19 time: 0.354312 data_time: 0.031953 memory: 4566 loss: 0.001174 loss_kpt: 0.001174 acc_pose: 0.791471 2023/08/08 11:14:40 - mmengine - INFO - Epoch(train) [9][470/529] lr: 5.000000e-04 eta: 10:29:15 time: 0.354079 data_time: 0.031343 memory: 4566 loss: 0.001166 loss_kpt: 0.001166 acc_pose: 0.743655 2023/08/08 11:14:43 - mmengine - INFO - Epoch(train) [9][480/529] lr: 5.000000e-04 eta: 10:29:10 time: 0.353714 data_time: 0.031353 memory: 4566 loss: 0.001155 loss_kpt: 0.001155 acc_pose: 0.754943 2023/08/08 11:14:47 - mmengine - INFO - Epoch(train) [9][490/529] lr: 5.000000e-04 eta: 10:29:10 time: 0.357058 data_time: 0.034879 memory: 4566 loss: 0.001168 loss_kpt: 0.001168 acc_pose: 0.803468 2023/08/08 11:14:50 - mmengine - INFO - Epoch(train) [9][500/529] lr: 5.000000e-04 eta: 10:29:06 time: 0.356536 data_time: 0.034716 memory: 4566 loss: 0.001168 loss_kpt: 0.001168 acc_pose: 0.740703 2023/08/08 11:14:54 - mmengine - INFO - Epoch(train) [9][510/529] lr: 5.000000e-04 eta: 10:29:04 time: 0.356662 data_time: 0.034737 memory: 4566 loss: 0.001166 loss_kpt: 0.001166 acc_pose: 0.807038 2023/08/08 11:14:57 - mmengine - INFO - Epoch(train) [9][520/529] lr: 5.000000e-04 eta: 10:29:00 time: 0.357408 data_time: 0.034913 memory: 4566 loss: 0.001168 loss_kpt: 0.001168 acc_pose: 0.779856 2023/08/08 11:15:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:15:04 - mmengine - INFO - Epoch(train) [10][ 10/529] lr: 5.000000e-04 eta: 10:28:54 time: 0.355957 data_time: 0.034722 memory: 4566 loss: 0.001156 loss_kpt: 0.001156 acc_pose: 0.764191 2023/08/08 11:15:08 - mmengine - INFO - Epoch(train) [10][ 20/529] lr: 5.000000e-04 eta: 10:28:50 time: 0.355725 data_time: 0.034390 memory: 4566 loss: 0.001153 loss_kpt: 0.001153 acc_pose: 0.811959 2023/08/08 11:15:11 - mmengine - INFO - Epoch(train) [10][ 30/529] lr: 5.000000e-04 eta: 10:28:48 time: 0.356481 data_time: 0.035233 memory: 4566 loss: 0.001164 loss_kpt: 0.001164 acc_pose: 0.837468 2023/08/08 11:15:15 - mmengine - INFO - Epoch(train) [10][ 40/529] lr: 5.000000e-04 eta: 10:28:48 time: 0.359595 data_time: 0.035518 memory: 4566 loss: 0.001168 loss_kpt: 0.001168 acc_pose: 0.847614 2023/08/08 11:15:19 - mmengine - INFO - Epoch(train) [10][ 50/529] lr: 5.000000e-04 eta: 10:28:44 time: 0.361195 data_time: 0.035812 memory: 4566 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.835663 2023/08/08 11:15:22 - mmengine - INFO - Epoch(train) [10][ 60/529] lr: 5.000000e-04 eta: 10:28:39 time: 0.357474 data_time: 0.032291 memory: 4566 loss: 0.001171 loss_kpt: 0.001171 acc_pose: 0.803109 2023/08/08 11:15:26 - mmengine - INFO - Epoch(train) [10][ 70/529] lr: 5.000000e-04 eta: 10:28:34 time: 0.356822 data_time: 0.032557 memory: 4566 loss: 0.001178 loss_kpt: 0.001178 acc_pose: 0.759577 2023/08/08 11:15:29 - mmengine - INFO - Epoch(train) [10][ 80/529] lr: 5.000000e-04 eta: 10:28:30 time: 0.354523 data_time: 0.032304 memory: 4566 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.751304 2023/08/08 11:15:33 - mmengine - INFO - Epoch(train) [10][ 90/529] lr: 5.000000e-04 eta: 10:28:25 time: 0.350218 data_time: 0.032141 memory: 4566 loss: 0.001167 loss_kpt: 0.001167 acc_pose: 0.741794 2023/08/08 11:15:36 - mmengine - INFO - Epoch(train) [10][100/529] lr: 5.000000e-04 eta: 10:28:21 time: 0.350452 data_time: 0.032151 memory: 4566 loss: 0.001174 loss_kpt: 0.001174 acc_pose: 0.772356 2023/08/08 11:15:40 - mmengine - INFO - Epoch(train) [10][110/529] lr: 5.000000e-04 eta: 10:28:20 time: 0.353521 data_time: 0.032551 memory: 4566 loss: 0.001164 loss_kpt: 0.001164 acc_pose: 0.814804 2023/08/08 11:15:43 - mmengine - INFO - Epoch(train) [10][120/529] lr: 5.000000e-04 eta: 10:28:16 time: 0.354646 data_time: 0.032283 memory: 4566 loss: 0.001161 loss_kpt: 0.001161 acc_pose: 0.724832 2023/08/08 11:15:47 - mmengine - INFO - Epoch(train) [10][130/529] lr: 5.000000e-04 eta: 10:28:12 time: 0.354570 data_time: 0.031512 memory: 4566 loss: 0.001183 loss_kpt: 0.001183 acc_pose: 0.774051 2023/08/08 11:15:50 - mmengine - INFO - Epoch(train) [10][140/529] lr: 5.000000e-04 eta: 10:28:08 time: 0.355487 data_time: 0.031172 memory: 4566 loss: 0.001178 loss_kpt: 0.001178 acc_pose: 0.827993 2023/08/08 11:15:54 - mmengine - INFO - Epoch(train) [10][150/529] lr: 5.000000e-04 eta: 10:28:08 time: 0.358928 data_time: 0.031122 memory: 4566 loss: 0.001179 loss_kpt: 0.001179 acc_pose: 0.791648 2023/08/08 11:15:58 - mmengine - INFO - Epoch(train) [10][160/529] lr: 5.000000e-04 eta: 10:28:04 time: 0.356509 data_time: 0.030683 memory: 4566 loss: 0.001187 loss_kpt: 0.001187 acc_pose: 0.806040 2023/08/08 11:16:01 - mmengine - INFO - Epoch(train) [10][170/529] lr: 5.000000e-04 eta: 10:28:01 time: 0.356883 data_time: 0.030553 memory: 4566 loss: 0.001183 loss_kpt: 0.001183 acc_pose: 0.769007 2023/08/08 11:16:05 - mmengine - INFO - Epoch(train) [10][180/529] lr: 5.000000e-04 eta: 10:27:58 time: 0.358238 data_time: 0.030649 memory: 4566 loss: 0.001151 loss_kpt: 0.001151 acc_pose: 0.780877 2023/08/08 11:16:09 - mmengine - INFO - Epoch(train) [10][190/529] lr: 5.000000e-04 eta: 10:28:05 time: 0.368373 data_time: 0.034512 memory: 4566 loss: 0.001144 loss_kpt: 0.001144 acc_pose: 0.758536 2023/08/08 11:16:12 - mmengine - INFO - Epoch(train) [10][200/529] lr: 5.000000e-04 eta: 10:28:01 time: 0.365769 data_time: 0.034519 memory: 4566 loss: 0.001129 loss_kpt: 0.001129 acc_pose: 0.744073 2023/08/08 11:16:16 - mmengine - INFO - Epoch(train) [10][210/529] lr: 5.000000e-04 eta: 10:28:01 time: 0.368819 data_time: 0.034481 memory: 4566 loss: 0.001112 loss_kpt: 0.001112 acc_pose: 0.852883 2023/08/08 11:16:20 - mmengine - INFO - Epoch(train) [10][220/529] lr: 5.000000e-04 eta: 10:28:07 time: 0.377763 data_time: 0.035316 memory: 4566 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.819308 2023/08/08 11:16:24 - mmengine - INFO - Epoch(train) [10][230/529] lr: 5.000000e-04 eta: 10:28:03 time: 0.376979 data_time: 0.035482 memory: 4566 loss: 0.001133 loss_kpt: 0.001133 acc_pose: 0.726076 2023/08/08 11:16:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:16:27 - mmengine - INFO - Epoch(train) [10][240/529] lr: 5.000000e-04 eta: 10:28:01 time: 0.367849 data_time: 0.031664 memory: 4566 loss: 0.001148 loss_kpt: 0.001148 acc_pose: 0.698368 2023/08/08 11:16:31 - mmengine - INFO - Epoch(train) [10][250/529] lr: 5.000000e-04 eta: 10:27:56 time: 0.366295 data_time: 0.031681 memory: 4566 loss: 0.001144 loss_kpt: 0.001144 acc_pose: 0.799565 2023/08/08 11:16:34 - mmengine - INFO - Epoch(train) [10][260/529] lr: 5.000000e-04 eta: 10:27:50 time: 0.361777 data_time: 0.031623 memory: 4566 loss: 0.001163 loss_kpt: 0.001163 acc_pose: 0.752292 2023/08/08 11:16:38 - mmengine - INFO - Epoch(train) [10][270/529] lr: 5.000000e-04 eta: 10:27:45 time: 0.351291 data_time: 0.031063 memory: 4566 loss: 0.001166 loss_kpt: 0.001166 acc_pose: 0.866638 2023/08/08 11:16:41 - mmengine - INFO - Epoch(train) [10][280/529] lr: 5.000000e-04 eta: 10:27:42 time: 0.351352 data_time: 0.031036 memory: 4566 loss: 0.001167 loss_kpt: 0.001167 acc_pose: 0.752747 2023/08/08 11:16:45 - mmengine - INFO - Epoch(train) [10][290/529] lr: 5.000000e-04 eta: 10:27:38 time: 0.351074 data_time: 0.031101 memory: 4566 loss: 0.001166 loss_kpt: 0.001166 acc_pose: 0.741181 2023/08/08 11:16:48 - mmengine - INFO - Epoch(train) [10][300/529] lr: 5.000000e-04 eta: 10:27:33 time: 0.351037 data_time: 0.031036 memory: 4566 loss: 0.001180 loss_kpt: 0.001180 acc_pose: 0.832280 2023/08/08 11:16:52 - mmengine - INFO - Epoch(train) [10][310/529] lr: 5.000000e-04 eta: 10:27:29 time: 0.352240 data_time: 0.031149 memory: 4566 loss: 0.001172 loss_kpt: 0.001172 acc_pose: 0.825328 2023/08/08 11:16:55 - mmengine - INFO - Epoch(train) [10][320/529] lr: 5.000000e-04 eta: 10:27:24 time: 0.351900 data_time: 0.031012 memory: 4566 loss: 0.001190 loss_kpt: 0.001190 acc_pose: 0.831418 2023/08/08 11:16:59 - mmengine - INFO - Epoch(train) [10][330/529] lr: 5.000000e-04 eta: 10:27:23 time: 0.353976 data_time: 0.030996 memory: 4566 loss: 0.001173 loss_kpt: 0.001173 acc_pose: 0.771411 2023/08/08 11:17:03 - mmengine - INFO - Epoch(train) [10][340/529] lr: 5.000000e-04 eta: 10:27:26 time: 0.360008 data_time: 0.031069 memory: 4566 loss: 0.001155 loss_kpt: 0.001155 acc_pose: 0.753271 2023/08/08 11:17:06 - mmengine - INFO - Epoch(train) [10][350/529] lr: 5.000000e-04 eta: 10:27:22 time: 0.361478 data_time: 0.031281 memory: 4566 loss: 0.001146 loss_kpt: 0.001146 acc_pose: 0.810060 2023/08/08 11:17:10 - mmengine - INFO - Epoch(train) [10][360/529] lr: 5.000000e-04 eta: 10:27:18 time: 0.360838 data_time: 0.031128 memory: 4566 loss: 0.001183 loss_kpt: 0.001183 acc_pose: 0.649928 2023/08/08 11:17:13 - mmengine - INFO - Epoch(train) [10][370/529] lr: 5.000000e-04 eta: 10:27:13 time: 0.361160 data_time: 0.031107 memory: 4566 loss: 0.001174 loss_kpt: 0.001174 acc_pose: 0.807985 2023/08/08 11:17:17 - mmengine - INFO - Epoch(train) [10][380/529] lr: 5.000000e-04 eta: 10:27:08 time: 0.358336 data_time: 0.030980 memory: 4566 loss: 0.001183 loss_kpt: 0.001183 acc_pose: 0.716208 2023/08/08 11:17:20 - mmengine - INFO - Epoch(train) [10][390/529] lr: 5.000000e-04 eta: 10:27:05 time: 0.351957 data_time: 0.030957 memory: 4566 loss: 0.001181 loss_kpt: 0.001181 acc_pose: 0.859352 2023/08/08 11:17:24 - mmengine - INFO - Epoch(train) [10][400/529] lr: 5.000000e-04 eta: 10:27:00 time: 0.350771 data_time: 0.030803 memory: 4566 loss: 0.001181 loss_kpt: 0.001181 acc_pose: 0.694191 2023/08/08 11:17:27 - mmengine - INFO - Epoch(train) [10][410/529] lr: 5.000000e-04 eta: 10:26:56 time: 0.351404 data_time: 0.031047 memory: 4566 loss: 0.001131 loss_kpt: 0.001131 acc_pose: 0.800635 2023/08/08 11:17:31 - mmengine - INFO - Epoch(train) [10][420/529] lr: 5.000000e-04 eta: 10:26:51 time: 0.351280 data_time: 0.031184 memory: 4566 loss: 0.001120 loss_kpt: 0.001120 acc_pose: 0.751726 2023/08/08 11:17:34 - mmengine - INFO - Epoch(train) [10][430/529] lr: 5.000000e-04 eta: 10:26:46 time: 0.351279 data_time: 0.032071 memory: 4566 loss: 0.001144 loss_kpt: 0.001144 acc_pose: 0.706007 2023/08/08 11:17:38 - mmengine - INFO - Epoch(train) [10][440/529] lr: 5.000000e-04 eta: 10:26:42 time: 0.350140 data_time: 0.032133 memory: 4566 loss: 0.001169 loss_kpt: 0.001169 acc_pose: 0.731205 2023/08/08 11:17:41 - mmengine - INFO - Epoch(train) [10][450/529] lr: 5.000000e-04 eta: 10:26:38 time: 0.351137 data_time: 0.032757 memory: 4566 loss: 0.001199 loss_kpt: 0.001199 acc_pose: 0.685176 2023/08/08 11:17:45 - mmengine - INFO - Epoch(train) [10][460/529] lr: 5.000000e-04 eta: 10:26:34 time: 0.350735 data_time: 0.032483 memory: 4566 loss: 0.001227 loss_kpt: 0.001227 acc_pose: 0.790114 2023/08/08 11:17:49 - mmengine - INFO - Epoch(train) [10][470/529] lr: 5.000000e-04 eta: 10:26:31 time: 0.353106 data_time: 0.033157 memory: 4566 loss: 0.001238 loss_kpt: 0.001238 acc_pose: 0.709301 2023/08/08 11:17:52 - mmengine - INFO - Epoch(train) [10][480/529] lr: 5.000000e-04 eta: 10:26:29 time: 0.355127 data_time: 0.033068 memory: 4566 loss: 0.001226 loss_kpt: 0.001226 acc_pose: 0.756183 2023/08/08 11:17:56 - mmengine - INFO - Epoch(train) [10][490/529] lr: 5.000000e-04 eta: 10:26:30 time: 0.361347 data_time: 0.032945 memory: 4566 loss: 0.001218 loss_kpt: 0.001218 acc_pose: 0.818477 2023/08/08 11:17:59 - mmengine - INFO - Epoch(train) [10][500/529] lr: 5.000000e-04 eta: 10:26:26 time: 0.360216 data_time: 0.032162 memory: 4566 loss: 0.001202 loss_kpt: 0.001202 acc_pose: 0.847394 2023/08/08 11:18:03 - mmengine - INFO - Epoch(train) [10][510/529] lr: 5.000000e-04 eta: 10:26:22 time: 0.361254 data_time: 0.032407 memory: 4566 loss: 0.001192 loss_kpt: 0.001192 acc_pose: 0.765655 2023/08/08 11:18:07 - mmengine - INFO - Epoch(train) [10][520/529] lr: 5.000000e-04 eta: 10:26:19 time: 0.360543 data_time: 0.031949 memory: 4566 loss: 0.001193 loss_kpt: 0.001193 acc_pose: 0.730806 2023/08/08 11:18:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:18:10 - mmengine - INFO - Saving checkpoint at 10 epochs 2023/08/08 11:18:16 - mmengine - INFO - Epoch(val) [10][ 10/127] eta: 0:00:28 time: 0.240485 data_time: 0.050281 memory: 4566 2023/08/08 11:18:18 - mmengine - INFO - Epoch(val) [10][ 20/127] eta: 0:00:23 time: 0.219655 data_time: 0.030761 memory: 1634 2023/08/08 11:18:20 - mmengine - INFO - Epoch(val) [10][ 30/127] eta: 0:00:20 time: 0.211920 data_time: 0.024100 memory: 1634 2023/08/08 11:18:22 - mmengine - INFO - Epoch(val) [10][ 40/127] eta: 0:00:18 time: 0.208085 data_time: 0.020778 memory: 1634 2023/08/08 11:18:24 - mmengine - INFO - Epoch(val) [10][ 50/127] eta: 0:00:15 time: 0.205903 data_time: 0.018800 memory: 1634 2023/08/08 11:18:26 - mmengine - INFO - Epoch(val) [10][ 60/127] eta: 0:00:13 time: 0.197214 data_time: 0.010964 memory: 1634 2023/08/08 11:18:28 - mmengine - INFO - Epoch(val) [10][ 70/127] eta: 0:00:11 time: 0.196770 data_time: 0.010851 memory: 1634 2023/08/08 11:18:30 - mmengine - INFO - Epoch(val) [10][ 80/127] eta: 0:00:09 time: 0.196917 data_time: 0.010830 memory: 1634 2023/08/08 11:18:32 - mmengine - INFO - Epoch(val) [10][ 90/127] eta: 0:00:07 time: 0.196944 data_time: 0.010806 memory: 1634 2023/08/08 11:18:34 - mmengine - INFO - Epoch(val) [10][100/127] eta: 0:00:05 time: 0.196842 data_time: 0.010791 memory: 1634 2023/08/08 11:18:36 - mmengine - INFO - Epoch(val) [10][110/127] eta: 0:00:03 time: 0.196756 data_time: 0.010660 memory: 1634 2023/08/08 11:18:38 - mmengine - INFO - Epoch(val) [10][120/127] eta: 0:00:01 time: 0.196726 data_time: 0.010637 memory: 1634 2023/08/08 11:18:39 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 11:18:39 - mmengine - INFO - Evaluating AUC... 2023/08/08 11:18:40 - mmengine - INFO - Evaluating EPE... 2023/08/08 11:18:40 - mmengine - INFO - Epoch(val) [10][127/127] PCK: 0.973888 AUC: 0.641537 EPE: 13.647763 data_time: 0.013841 time: 0.199587 2023/08/08 11:18:42 - mmengine - INFO - The best checkpoint with 0.6415 AUC at 10 epoch is saved to best_AUC_epoch_10.pth. 2023/08/08 11:18:50 - mmengine - INFO - Epoch(train) [11][ 10/529] lr: 5.000000e-04 eta: 10:26:21 time: 0.362384 data_time: 0.035831 memory: 4565 loss: 0.001167 loss_kpt: 0.001167 acc_pose: 0.821483 2023/08/08 11:18:53 - mmengine - INFO - Epoch(train) [11][ 20/529] lr: 5.000000e-04 eta: 10:26:16 time: 0.363141 data_time: 0.036352 memory: 4565 loss: 0.001146 loss_kpt: 0.001146 acc_pose: 0.778766 2023/08/08 11:18:57 - mmengine - INFO - Epoch(train) [11][ 30/529] lr: 5.000000e-04 eta: 10:26:11 time: 0.360513 data_time: 0.036933 memory: 4565 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.728204 2023/08/08 11:19:00 - mmengine - INFO - Epoch(train) [11][ 40/529] lr: 5.000000e-04 eta: 10:26:05 time: 0.358083 data_time: 0.036681 memory: 4565 loss: 0.001131 loss_kpt: 0.001131 acc_pose: 0.746922 2023/08/08 11:19:04 - mmengine - INFO - Epoch(train) [11][ 50/529] lr: 5.000000e-04 eta: 10:26:06 time: 0.364205 data_time: 0.040420 memory: 4565 loss: 0.001110 loss_kpt: 0.001110 acc_pose: 0.741483 2023/08/08 11:19:08 - mmengine - INFO - Epoch(train) [11][ 60/529] lr: 5.000000e-04 eta: 10:26:04 time: 0.356051 data_time: 0.035858 memory: 4565 loss: 0.001094 loss_kpt: 0.001094 acc_pose: 0.798752 2023/08/08 11:19:11 - mmengine - INFO - Epoch(train) [11][ 70/529] lr: 5.000000e-04 eta: 10:26:01 time: 0.357667 data_time: 0.035509 memory: 4565 loss: 0.001090 loss_kpt: 0.001090 acc_pose: 0.795047 2023/08/08 11:19:15 - mmengine - INFO - Epoch(train) [11][ 80/529] lr: 5.000000e-04 eta: 10:25:59 time: 0.361659 data_time: 0.035366 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.824609 2023/08/08 11:19:18 - mmengine - INFO - Epoch(train) [11][ 90/529] lr: 5.000000e-04 eta: 10:25:53 time: 0.361914 data_time: 0.035255 memory: 4565 loss: 0.001110 loss_kpt: 0.001110 acc_pose: 0.779298 2023/08/08 11:19:22 - mmengine - INFO - Epoch(train) [11][100/529] lr: 5.000000e-04 eta: 10:25:57 time: 0.364362 data_time: 0.031590 memory: 4565 loss: 0.001130 loss_kpt: 0.001130 acc_pose: 0.754428 2023/08/08 11:19:26 - mmengine - INFO - Epoch(train) [11][110/529] lr: 5.000000e-04 eta: 10:25:51 time: 0.360786 data_time: 0.031363 memory: 4565 loss: 0.001160 loss_kpt: 0.001160 acc_pose: 0.803694 2023/08/08 11:19:29 - mmengine - INFO - Epoch(train) [11][120/529] lr: 5.000000e-04 eta: 10:25:45 time: 0.357443 data_time: 0.031443 memory: 4565 loss: 0.001184 loss_kpt: 0.001184 acc_pose: 0.757146 2023/08/08 11:19:33 - mmengine - INFO - Epoch(train) [11][130/529] lr: 5.000000e-04 eta: 10:25:41 time: 0.355025 data_time: 0.031093 memory: 4565 loss: 0.001201 loss_kpt: 0.001201 acc_pose: 0.764505 2023/08/08 11:19:37 - mmengine - INFO - Epoch(train) [11][140/529] lr: 5.000000e-04 eta: 10:25:43 time: 0.363002 data_time: 0.031703 memory: 4565 loss: 0.001183 loss_kpt: 0.001183 acc_pose: 0.772231 2023/08/08 11:19:40 - mmengine - INFO - Epoch(train) [11][150/529] lr: 5.000000e-04 eta: 10:25:43 time: 0.359491 data_time: 0.032560 memory: 4565 loss: 0.001175 loss_kpt: 0.001175 acc_pose: 0.800156 2023/08/08 11:19:44 - mmengine - INFO - Epoch(train) [11][160/529] lr: 5.000000e-04 eta: 10:25:38 time: 0.359883 data_time: 0.033944 memory: 4565 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.749476 2023/08/08 11:19:47 - mmengine - INFO - Epoch(train) [11][170/529] lr: 5.000000e-04 eta: 10:25:32 time: 0.359673 data_time: 0.034815 memory: 4565 loss: 0.001143 loss_kpt: 0.001143 acc_pose: 0.800926 2023/08/08 11:19:51 - mmengine - INFO - Epoch(train) [11][180/529] lr: 5.000000e-04 eta: 10:25:27 time: 0.358689 data_time: 0.035619 memory: 4565 loss: 0.001123 loss_kpt: 0.001123 acc_pose: 0.837425 2023/08/08 11:19:54 - mmengine - INFO - Epoch(train) [11][190/529] lr: 5.000000e-04 eta: 10:25:23 time: 0.353247 data_time: 0.035403 memory: 4565 loss: 0.001135 loss_kpt: 0.001135 acc_pose: 0.839391 2023/08/08 11:19:58 - mmengine - INFO - Epoch(train) [11][200/529] lr: 5.000000e-04 eta: 10:25:23 time: 0.353015 data_time: 0.035424 memory: 4565 loss: 0.001139 loss_kpt: 0.001139 acc_pose: 0.770671 2023/08/08 11:20:02 - mmengine - INFO - Epoch(train) [11][210/529] lr: 5.000000e-04 eta: 10:25:20 time: 0.355060 data_time: 0.034236 memory: 4565 loss: 0.001135 loss_kpt: 0.001135 acc_pose: 0.756105 2023/08/08 11:20:05 - mmengine - INFO - Epoch(train) [11][220/529] lr: 5.000000e-04 eta: 10:25:18 time: 0.359820 data_time: 0.033608 memory: 4565 loss: 0.001149 loss_kpt: 0.001149 acc_pose: 0.801162 2023/08/08 11:20:09 - mmengine - INFO - Epoch(train) [11][230/529] lr: 5.000000e-04 eta: 10:25:13 time: 0.359921 data_time: 0.032844 memory: 4565 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.755170 2023/08/08 11:20:12 - mmengine - INFO - Epoch(train) [11][240/529] lr: 5.000000e-04 eta: 10:25:09 time: 0.358828 data_time: 0.032621 memory: 4565 loss: 0.001156 loss_kpt: 0.001156 acc_pose: 0.742362 2023/08/08 11:20:16 - mmengine - INFO - Epoch(train) [11][250/529] lr: 5.000000e-04 eta: 10:25:06 time: 0.356099 data_time: 0.031934 memory: 4565 loss: 0.001159 loss_kpt: 0.001159 acc_pose: 0.791816 2023/08/08 11:20:19 - mmengine - INFO - Epoch(train) [11][260/529] lr: 5.000000e-04 eta: 10:25:03 time: 0.355780 data_time: 0.031785 memory: 4565 loss: 0.001164 loss_kpt: 0.001164 acc_pose: 0.755883 2023/08/08 11:20:23 - mmengine - INFO - Epoch(train) [11][270/529] lr: 5.000000e-04 eta: 10:24:57 time: 0.350943 data_time: 0.031720 memory: 4565 loss: 0.001174 loss_kpt: 0.001174 acc_pose: 0.859308 2023/08/08 11:20:26 - mmengine - INFO - Epoch(train) [11][280/529] lr: 5.000000e-04 eta: 10:24:51 time: 0.350114 data_time: 0.031302 memory: 4565 loss: 0.001172 loss_kpt: 0.001172 acc_pose: 0.731336 2023/08/08 11:20:30 - mmengine - INFO - Epoch(train) [11][290/529] lr: 5.000000e-04 eta: 10:24:44 time: 0.348134 data_time: 0.031057 memory: 4565 loss: 0.001164 loss_kpt: 0.001164 acc_pose: 0.843839 2023/08/08 11:20:33 - mmengine - INFO - Epoch(train) [11][300/529] lr: 5.000000e-04 eta: 10:24:39 time: 0.345222 data_time: 0.030981 memory: 4565 loss: 0.001159 loss_kpt: 0.001159 acc_pose: 0.762767 2023/08/08 11:20:37 - mmengine - INFO - Epoch(train) [11][310/529] lr: 5.000000e-04 eta: 10:24:34 time: 0.343533 data_time: 0.030669 memory: 4565 loss: 0.001148 loss_kpt: 0.001148 acc_pose: 0.807119 2023/08/08 11:20:40 - mmengine - INFO - Epoch(train) [11][320/529] lr: 5.000000e-04 eta: 10:24:29 time: 0.345425 data_time: 0.030761 memory: 4565 loss: 0.001140 loss_kpt: 0.001140 acc_pose: 0.799740 2023/08/08 11:20:43 - mmengine - INFO - Epoch(train) [11][330/529] lr: 5.000000e-04 eta: 10:24:24 time: 0.345902 data_time: 0.030918 memory: 4565 loss: 0.001135 loss_kpt: 0.001135 acc_pose: 0.843936 2023/08/08 11:20:47 - mmengine - INFO - Epoch(train) [11][340/529] lr: 5.000000e-04 eta: 10:24:21 time: 0.348963 data_time: 0.030952 memory: 4565 loss: 0.001139 loss_kpt: 0.001139 acc_pose: 0.832169 2023/08/08 11:20:51 - mmengine - INFO - Epoch(train) [11][350/529] lr: 5.000000e-04 eta: 10:24:15 time: 0.348983 data_time: 0.030914 memory: 4565 loss: 0.001133 loss_kpt: 0.001133 acc_pose: 0.751945 2023/08/08 11:20:54 - mmengine - INFO - Epoch(train) [11][360/529] lr: 5.000000e-04 eta: 10:24:10 time: 0.348626 data_time: 0.031268 memory: 4565 loss: 0.001142 loss_kpt: 0.001142 acc_pose: 0.846234 2023/08/08 11:20:57 - mmengine - INFO - Epoch(train) [11][370/529] lr: 5.000000e-04 eta: 10:24:04 time: 0.347087 data_time: 0.030817 memory: 4565 loss: 0.001142 loss_kpt: 0.001142 acc_pose: 0.855465 2023/08/08 11:21:01 - mmengine - INFO - Epoch(train) [11][380/529] lr: 5.000000e-04 eta: 10:24:01 time: 0.349296 data_time: 0.031201 memory: 4565 loss: 0.001168 loss_kpt: 0.001168 acc_pose: 0.696793 2023/08/08 11:21:05 - mmengine - INFO - Epoch(train) [11][390/529] lr: 5.000000e-04 eta: 10:24:01 time: 0.352536 data_time: 0.034805 memory: 4565 loss: 0.001160 loss_kpt: 0.001160 acc_pose: 0.799071 2023/08/08 11:21:09 - mmengine - INFO - Epoch(train) [11][400/529] lr: 5.000000e-04 eta: 10:24:05 time: 0.363376 data_time: 0.034763 memory: 4565 loss: 0.001172 loss_kpt: 0.001172 acc_pose: 0.780181 2023/08/08 11:21:12 - mmengine - INFO - Epoch(train) [11][410/529] lr: 5.000000e-04 eta: 10:24:02 time: 0.366369 data_time: 0.034511 memory: 4565 loss: 0.001184 loss_kpt: 0.001184 acc_pose: 0.825369 2023/08/08 11:21:16 - mmengine - INFO - Epoch(train) [11][420/529] lr: 5.000000e-04 eta: 10:23:57 time: 0.367032 data_time: 0.034431 memory: 4565 loss: 0.001181 loss_kpt: 0.001181 acc_pose: 0.854159 2023/08/08 11:21:19 - mmengine - INFO - Epoch(train) [11][430/529] lr: 5.000000e-04 eta: 10:23:52 time: 0.364744 data_time: 0.033889 memory: 4565 loss: 0.001151 loss_kpt: 0.001151 acc_pose: 0.780829 2023/08/08 11:21:23 - mmengine - INFO - Epoch(train) [11][440/529] lr: 5.000000e-04 eta: 10:23:54 time: 0.367525 data_time: 0.031222 memory: 4565 loss: 0.001154 loss_kpt: 0.001154 acc_pose: 0.811011 2023/08/08 11:21:27 - mmengine - INFO - Epoch(train) [11][450/529] lr: 5.000000e-04 eta: 10:23:56 time: 0.365217 data_time: 0.031583 memory: 4565 loss: 0.001164 loss_kpt: 0.001164 acc_pose: 0.776743 2023/08/08 11:21:31 - mmengine - INFO - Epoch(train) [11][460/529] lr: 5.000000e-04 eta: 10:24:01 time: 0.373019 data_time: 0.032177 memory: 4565 loss: 0.001159 loss_kpt: 0.001159 acc_pose: 0.800329 2023/08/08 11:21:35 - mmengine - INFO - Epoch(train) [11][470/529] lr: 5.000000e-04 eta: 10:24:04 time: 0.381690 data_time: 0.032622 memory: 4565 loss: 0.001165 loss_kpt: 0.001165 acc_pose: 0.729214 2023/08/08 11:21:39 - mmengine - INFO - Epoch(train) [11][480/529] lr: 5.000000e-04 eta: 10:24:06 time: 0.390579 data_time: 0.033081 memory: 4565 loss: 0.001166 loss_kpt: 0.001166 acc_pose: 0.764264 2023/08/08 11:21:42 - mmengine - INFO - Epoch(train) [11][490/529] lr: 5.000000e-04 eta: 10:24:03 time: 0.384837 data_time: 0.032952 memory: 4565 loss: 0.001182 loss_kpt: 0.001182 acc_pose: 0.672228 2023/08/08 11:21:46 - mmengine - INFO - Epoch(train) [11][500/529] lr: 5.000000e-04 eta: 10:23:59 time: 0.378430 data_time: 0.033518 memory: 4565 loss: 0.001174 loss_kpt: 0.001174 acc_pose: 0.760382 2023/08/08 11:21:49 - mmengine - INFO - Epoch(train) [11][510/529] lr: 5.000000e-04 eta: 10:23:55 time: 0.369059 data_time: 0.032817 memory: 4565 loss: 0.001176 loss_kpt: 0.001176 acc_pose: 0.789412 2023/08/08 11:21:53 - mmengine - INFO - Epoch(train) [11][520/529] lr: 5.000000e-04 eta: 10:23:50 time: 0.360323 data_time: 0.032421 memory: 4565 loss: 0.001186 loss_kpt: 0.001186 acc_pose: 0.736016 2023/08/08 11:21:56 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:22:00 - mmengine - INFO - Epoch(train) [12][ 10/529] lr: 5.000000e-04 eta: 10:23:45 time: 0.353745 data_time: 0.035515 memory: 4565 loss: 0.001174 loss_kpt: 0.001174 acc_pose: 0.624346 2023/08/08 11:22:03 - mmengine - INFO - Epoch(train) [12][ 20/529] lr: 5.000000e-04 eta: 10:23:40 time: 0.351868 data_time: 0.034809 memory: 4565 loss: 0.001169 loss_kpt: 0.001169 acc_pose: 0.736356 2023/08/08 11:22:07 - mmengine - INFO - Epoch(train) [12][ 30/529] lr: 5.000000e-04 eta: 10:23:37 time: 0.354150 data_time: 0.035074 memory: 4565 loss: 0.001139 loss_kpt: 0.001139 acc_pose: 0.786396 2023/08/08 11:22:10 - mmengine - INFO - Epoch(train) [12][ 40/529] lr: 5.000000e-04 eta: 10:23:32 time: 0.353944 data_time: 0.035305 memory: 4565 loss: 0.001116 loss_kpt: 0.001116 acc_pose: 0.743596 2023/08/08 11:22:14 - mmengine - INFO - Epoch(train) [12][ 50/529] lr: 5.000000e-04 eta: 10:23:27 time: 0.355985 data_time: 0.036107 memory: 4565 loss: 0.001113 loss_kpt: 0.001113 acc_pose: 0.710212 2023/08/08 11:22:17 - mmengine - INFO - Epoch(train) [12][ 60/529] lr: 5.000000e-04 eta: 10:23:21 time: 0.348955 data_time: 0.031195 memory: 4565 loss: 0.001131 loss_kpt: 0.001131 acc_pose: 0.780659 2023/08/08 11:22:21 - mmengine - INFO - Epoch(train) [12][ 70/529] lr: 5.000000e-04 eta: 10:23:18 time: 0.351709 data_time: 0.031053 memory: 4565 loss: 0.001111 loss_kpt: 0.001111 acc_pose: 0.737037 2023/08/08 11:22:24 - mmengine - INFO - Epoch(train) [12][ 80/529] lr: 5.000000e-04 eta: 10:23:13 time: 0.347694 data_time: 0.030892 memory: 4565 loss: 0.001127 loss_kpt: 0.001127 acc_pose: 0.800703 2023/08/08 11:22:28 - mmengine - INFO - Epoch(train) [12][ 90/529] lr: 5.000000e-04 eta: 10:23:09 time: 0.348967 data_time: 0.030743 memory: 4565 loss: 0.001136 loss_kpt: 0.001136 acc_pose: 0.836151 2023/08/08 11:22:31 - mmengine - INFO - Epoch(train) [12][100/529] lr: 5.000000e-04 eta: 10:23:04 time: 0.349587 data_time: 0.030881 memory: 4565 loss: 0.001139 loss_kpt: 0.001139 acc_pose: 0.812579 2023/08/08 11:22:35 - mmengine - INFO - Epoch(train) [12][110/529] lr: 5.000000e-04 eta: 10:22:59 time: 0.350087 data_time: 0.030697 memory: 4565 loss: 0.001127 loss_kpt: 0.001127 acc_pose: 0.819342 2023/08/08 11:22:38 - mmengine - INFO - Epoch(train) [12][120/529] lr: 5.000000e-04 eta: 10:22:53 time: 0.347173 data_time: 0.030505 memory: 4565 loss: 0.001153 loss_kpt: 0.001153 acc_pose: 0.798991 2023/08/08 11:22:42 - mmengine - INFO - Epoch(train) [12][130/529] lr: 5.000000e-04 eta: 10:22:48 time: 0.348147 data_time: 0.030426 memory: 4565 loss: 0.001157 loss_kpt: 0.001157 acc_pose: 0.713164 2023/08/08 11:22:45 - mmengine - INFO - Epoch(train) [12][140/529] lr: 5.000000e-04 eta: 10:22:45 time: 0.348501 data_time: 0.030714 memory: 4565 loss: 0.001148 loss_kpt: 0.001148 acc_pose: 0.732495 2023/08/08 11:22:49 - mmengine - INFO - Epoch(train) [12][150/529] lr: 5.000000e-04 eta: 10:22:43 time: 0.352223 data_time: 0.031001 memory: 4565 loss: 0.001148 loss_kpt: 0.001148 acc_pose: 0.735578 2023/08/08 11:22:52 - mmengine - INFO - Epoch(train) [12][160/529] lr: 5.000000e-04 eta: 10:22:40 time: 0.354523 data_time: 0.031519 memory: 4565 loss: 0.001152 loss_kpt: 0.001152 acc_pose: 0.774425 2023/08/08 11:22:56 - mmengine - INFO - Epoch(train) [12][170/529] lr: 5.000000e-04 eta: 10:22:36 time: 0.356436 data_time: 0.032046 memory: 4565 loss: 0.001136 loss_kpt: 0.001136 acc_pose: 0.753219 2023/08/08 11:22:59 - mmengine - INFO - Epoch(train) [12][180/529] lr: 5.000000e-04 eta: 10:22:32 time: 0.357420 data_time: 0.032513 memory: 4565 loss: 0.001144 loss_kpt: 0.001144 acc_pose: 0.793755 2023/08/08 11:23:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:23:03 - mmengine - INFO - Epoch(train) [12][190/529] lr: 5.000000e-04 eta: 10:22:33 time: 0.362073 data_time: 0.032844 memory: 4565 loss: 0.001153 loss_kpt: 0.001153 acc_pose: 0.812579 2023/08/08 11:23:07 - mmengine - INFO - Epoch(train) [12][200/529] lr: 5.000000e-04 eta: 10:22:32 time: 0.362695 data_time: 0.036034 memory: 4565 loss: 0.001152 loss_kpt: 0.001152 acc_pose: 0.755352 2023/08/08 11:23:10 - mmengine - INFO - Epoch(train) [12][210/529] lr: 5.000000e-04 eta: 10:22:28 time: 0.362123 data_time: 0.036088 memory: 4565 loss: 0.001147 loss_kpt: 0.001147 acc_pose: 0.780459 2023/08/08 11:23:14 - mmengine - INFO - Epoch(train) [12][220/529] lr: 5.000000e-04 eta: 10:22:24 time: 0.361923 data_time: 0.035810 memory: 4565 loss: 0.001156 loss_kpt: 0.001156 acc_pose: 0.754147 2023/08/08 11:23:18 - mmengine - INFO - Epoch(train) [12][230/529] lr: 5.000000e-04 eta: 10:22:22 time: 0.364013 data_time: 0.035319 memory: 4565 loss: 0.001149 loss_kpt: 0.001149 acc_pose: 0.812318 2023/08/08 11:23:21 - mmengine - INFO - Epoch(train) [12][240/529] lr: 5.000000e-04 eta: 10:22:17 time: 0.358447 data_time: 0.034658 memory: 4565 loss: 0.001138 loss_kpt: 0.001138 acc_pose: 0.784685 2023/08/08 11:23:25 - mmengine - INFO - Epoch(train) [12][250/529] lr: 5.000000e-04 eta: 10:22:13 time: 0.354908 data_time: 0.031352 memory: 4565 loss: 0.001138 loss_kpt: 0.001138 acc_pose: 0.794521 2023/08/08 11:23:28 - mmengine - INFO - Epoch(train) [12][260/529] lr: 5.000000e-04 eta: 10:22:10 time: 0.355037 data_time: 0.031782 memory: 4565 loss: 0.001141 loss_kpt: 0.001141 acc_pose: 0.804502 2023/08/08 11:23:32 - mmengine - INFO - Epoch(train) [12][270/529] lr: 5.000000e-04 eta: 10:22:10 time: 0.359803 data_time: 0.031868 memory: 4565 loss: 0.001130 loss_kpt: 0.001130 acc_pose: 0.796351 2023/08/08 11:23:36 - mmengine - INFO - Epoch(train) [12][280/529] lr: 5.000000e-04 eta: 10:22:06 time: 0.356928 data_time: 0.031991 memory: 4565 loss: 0.001128 loss_kpt: 0.001128 acc_pose: 0.848916 2023/08/08 11:23:39 - mmengine - INFO - Epoch(train) [12][290/529] lr: 5.000000e-04 eta: 10:22:01 time: 0.356613 data_time: 0.031981 memory: 4565 loss: 0.001146 loss_kpt: 0.001146 acc_pose: 0.726313 2023/08/08 11:23:42 - mmengine - INFO - Epoch(train) [12][300/529] lr: 5.000000e-04 eta: 10:21:56 time: 0.355672 data_time: 0.031622 memory: 4565 loss: 0.001152 loss_kpt: 0.001152 acc_pose: 0.748676 2023/08/08 11:23:46 - mmengine - INFO - Epoch(train) [12][310/529] lr: 5.000000e-04 eta: 10:21:51 time: 0.354197 data_time: 0.030906 memory: 4565 loss: 0.001152 loss_kpt: 0.001152 acc_pose: 0.765154 2023/08/08 11:23:50 - mmengine - INFO - Epoch(train) [12][320/529] lr: 5.000000e-04 eta: 10:21:51 time: 0.353981 data_time: 0.030727 memory: 4565 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.817480 2023/08/08 11:23:53 - mmengine - INFO - Epoch(train) [12][330/529] lr: 5.000000e-04 eta: 10:21:48 time: 0.355938 data_time: 0.030928 memory: 4565 loss: 0.001159 loss_kpt: 0.001159 acc_pose: 0.741789 2023/08/08 11:23:57 - mmengine - INFO - Epoch(train) [12][340/529] lr: 5.000000e-04 eta: 10:21:46 time: 0.358671 data_time: 0.031584 memory: 4565 loss: 0.001166 loss_kpt: 0.001166 acc_pose: 0.723968 2023/08/08 11:24:00 - mmengine - INFO - Epoch(train) [12][350/529] lr: 5.000000e-04 eta: 10:21:41 time: 0.358949 data_time: 0.031662 memory: 4565 loss: 0.001161 loss_kpt: 0.001161 acc_pose: 0.693131 2023/08/08 11:24:04 - mmengine - INFO - Epoch(train) [12][360/529] lr: 5.000000e-04 eta: 10:21:36 time: 0.358352 data_time: 0.031472 memory: 4565 loss: 0.001165 loss_kpt: 0.001165 acc_pose: 0.814703 2023/08/08 11:24:07 - mmengine - INFO - Epoch(train) [12][370/529] lr: 5.000000e-04 eta: 10:21:31 time: 0.352364 data_time: 0.031378 memory: 4565 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.769292 2023/08/08 11:24:11 - mmengine - INFO - Epoch(train) [12][380/529] lr: 5.000000e-04 eta: 10:21:28 time: 0.352277 data_time: 0.031312 memory: 4565 loss: 0.001175 loss_kpt: 0.001175 acc_pose: 0.681785 2023/08/08 11:24:15 - mmengine - INFO - Epoch(train) [12][390/529] lr: 5.000000e-04 eta: 10:21:27 time: 0.354003 data_time: 0.031127 memory: 4565 loss: 0.001151 loss_kpt: 0.001151 acc_pose: 0.802132 2023/08/08 11:24:18 - mmengine - INFO - Epoch(train) [12][400/529] lr: 5.000000e-04 eta: 10:21:22 time: 0.354809 data_time: 0.031271 memory: 4565 loss: 0.001152 loss_kpt: 0.001152 acc_pose: 0.814106 2023/08/08 11:24:22 - mmengine - INFO - Epoch(train) [12][410/529] lr: 5.000000e-04 eta: 10:21:18 time: 0.356144 data_time: 0.031512 memory: 4565 loss: 0.001145 loss_kpt: 0.001145 acc_pose: 0.780631 2023/08/08 11:24:25 - mmengine - INFO - Epoch(train) [12][420/529] lr: 5.000000e-04 eta: 10:21:15 time: 0.357948 data_time: 0.032073 memory: 4565 loss: 0.001133 loss_kpt: 0.001133 acc_pose: 0.796721 2023/08/08 11:24:29 - mmengine - INFO - Epoch(train) [12][430/529] lr: 5.000000e-04 eta: 10:21:10 time: 0.356138 data_time: 0.032206 memory: 4565 loss: 0.001129 loss_kpt: 0.001129 acc_pose: 0.767656 2023/08/08 11:24:32 - mmengine - INFO - Epoch(train) [12][440/529] lr: 5.000000e-04 eta: 10:21:06 time: 0.351769 data_time: 0.031766 memory: 4565 loss: 0.001126 loss_kpt: 0.001126 acc_pose: 0.782557 2023/08/08 11:24:36 - mmengine - INFO - Epoch(train) [12][450/529] lr: 5.000000e-04 eta: 10:21:02 time: 0.352146 data_time: 0.031635 memory: 4565 loss: 0.001128 loss_kpt: 0.001128 acc_pose: 0.786760 2023/08/08 11:24:39 - mmengine - INFO - Epoch(train) [12][460/529] lr: 5.000000e-04 eta: 10:20:58 time: 0.352543 data_time: 0.031582 memory: 4565 loss: 0.001137 loss_kpt: 0.001137 acc_pose: 0.759872 2023/08/08 11:24:43 - mmengine - INFO - Epoch(train) [12][470/529] lr: 5.000000e-04 eta: 10:20:54 time: 0.351867 data_time: 0.031045 memory: 4565 loss: 0.001158 loss_kpt: 0.001158 acc_pose: 0.810510 2023/08/08 11:24:47 - mmengine - INFO - Epoch(train) [12][480/529] lr: 5.000000e-04 eta: 10:20:56 time: 0.359297 data_time: 0.031492 memory: 4565 loss: 0.001160 loss_kpt: 0.001160 acc_pose: 0.776896 2023/08/08 11:24:51 - mmengine - INFO - Epoch(train) [12][490/529] lr: 5.000000e-04 eta: 10:20:57 time: 0.366304 data_time: 0.031789 memory: 4565 loss: 0.001186 loss_kpt: 0.001186 acc_pose: 0.776342 2023/08/08 11:24:54 - mmengine - INFO - Epoch(train) [12][500/529] lr: 5.000000e-04 eta: 10:20:52 time: 0.365077 data_time: 0.031674 memory: 4565 loss: 0.001184 loss_kpt: 0.001184 acc_pose: 0.747109 2023/08/08 11:24:58 - mmengine - INFO - Epoch(train) [12][510/529] lr: 5.000000e-04 eta: 10:20:48 time: 0.364540 data_time: 0.031631 memory: 4565 loss: 0.001186 loss_kpt: 0.001186 acc_pose: 0.730261 2023/08/08 11:25:01 - mmengine - INFO - Epoch(train) [12][520/529] lr: 5.000000e-04 eta: 10:20:46 time: 0.367815 data_time: 0.035312 memory: 4565 loss: 0.001187 loss_kpt: 0.001187 acc_pose: 0.776378 2023/08/08 11:25:04 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:25:08 - mmengine - INFO - Epoch(train) [13][ 10/529] lr: 5.000000e-04 eta: 10:20:40 time: 0.356342 data_time: 0.038268 memory: 4565 loss: 0.001177 loss_kpt: 0.001177 acc_pose: 0.769757 2023/08/08 11:25:12 - mmengine - INFO - Epoch(train) [13][ 20/529] lr: 5.000000e-04 eta: 10:20:36 time: 0.356686 data_time: 0.038347 memory: 4565 loss: 0.001167 loss_kpt: 0.001167 acc_pose: 0.820457 2023/08/08 11:25:15 - mmengine - INFO - Epoch(train) [13][ 30/529] lr: 5.000000e-04 eta: 10:20:34 time: 0.359727 data_time: 0.038396 memory: 4565 loss: 0.001151 loss_kpt: 0.001151 acc_pose: 0.845905 2023/08/08 11:25:19 - mmengine - INFO - Epoch(train) [13][ 40/529] lr: 5.000000e-04 eta: 10:20:31 time: 0.357172 data_time: 0.035115 memory: 4565 loss: 0.001122 loss_kpt: 0.001122 acc_pose: 0.766017 2023/08/08 11:25:22 - mmengine - INFO - Epoch(train) [13][ 50/529] lr: 5.000000e-04 eta: 10:20:27 time: 0.360687 data_time: 0.036143 memory: 4565 loss: 0.001114 loss_kpt: 0.001114 acc_pose: 0.737009 2023/08/08 11:25:26 - mmengine - INFO - Epoch(train) [13][ 60/529] lr: 5.000000e-04 eta: 10:20:23 time: 0.356533 data_time: 0.031392 memory: 4565 loss: 0.001132 loss_kpt: 0.001132 acc_pose: 0.804825 2023/08/08 11:25:29 - mmengine - INFO - Epoch(train) [13][ 70/529] lr: 5.000000e-04 eta: 10:20:19 time: 0.356955 data_time: 0.031430 memory: 4565 loss: 0.001137 loss_kpt: 0.001137 acc_pose: 0.861342 2023/08/08 11:25:33 - mmengine - INFO - Epoch(train) [13][ 80/529] lr: 5.000000e-04 eta: 10:20:15 time: 0.354152 data_time: 0.031209 memory: 4565 loss: 0.001145 loss_kpt: 0.001145 acc_pose: 0.821562 2023/08/08 11:25:36 - mmengine - INFO - Epoch(train) [13][ 90/529] lr: 5.000000e-04 eta: 10:20:12 time: 0.354002 data_time: 0.030822 memory: 4565 loss: 0.001154 loss_kpt: 0.001154 acc_pose: 0.745315 2023/08/08 11:25:40 - mmengine - INFO - Epoch(train) [13][100/529] lr: 5.000000e-04 eta: 10:20:08 time: 0.353145 data_time: 0.030467 memory: 4565 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.795020 2023/08/08 11:25:44 - mmengine - INFO - Epoch(train) [13][110/529] lr: 5.000000e-04 eta: 10:20:05 time: 0.355084 data_time: 0.030896 memory: 4565 loss: 0.001125 loss_kpt: 0.001125 acc_pose: 0.783457 2023/08/08 11:25:47 - mmengine - INFO - Epoch(train) [13][120/529] lr: 5.000000e-04 eta: 10:20:00 time: 0.354408 data_time: 0.030705 memory: 4565 loss: 0.001117 loss_kpt: 0.001117 acc_pose: 0.820177 2023/08/08 11:25:51 - mmengine - INFO - Epoch(train) [13][130/529] lr: 5.000000e-04 eta: 10:19:56 time: 0.353966 data_time: 0.031098 memory: 4565 loss: 0.001105 loss_kpt: 0.001105 acc_pose: 0.720884 2023/08/08 11:25:54 - mmengine - INFO - Epoch(train) [13][140/529] lr: 5.000000e-04 eta: 10:19:51 time: 0.352364 data_time: 0.030986 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.809205 2023/08/08 11:25:58 - mmengine - INFO - Epoch(train) [13][150/529] lr: 5.000000e-04 eta: 10:19:47 time: 0.352385 data_time: 0.031120 memory: 4565 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.817888 2023/08/08 11:26:01 - mmengine - INFO - Epoch(train) [13][160/529] lr: 5.000000e-04 eta: 10:19:43 time: 0.350407 data_time: 0.031433 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.879158 2023/08/08 11:26:05 - mmengine - INFO - Epoch(train) [13][170/529] lr: 5.000000e-04 eta: 10:19:43 time: 0.355375 data_time: 0.035358 memory: 4565 loss: 0.001104 loss_kpt: 0.001104 acc_pose: 0.795671 2023/08/08 11:26:08 - mmengine - INFO - Epoch(train) [13][180/529] lr: 5.000000e-04 eta: 10:19:39 time: 0.356583 data_time: 0.034940 memory: 4565 loss: 0.001109 loss_kpt: 0.001109 acc_pose: 0.798600 2023/08/08 11:26:12 - mmengine - INFO - Epoch(train) [13][190/529] lr: 5.000000e-04 eta: 10:19:34 time: 0.356652 data_time: 0.035043 memory: 4565 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.682357 2023/08/08 11:26:15 - mmengine - INFO - Epoch(train) [13][200/529] lr: 5.000000e-04 eta: 10:19:30 time: 0.355549 data_time: 0.034753 memory: 4565 loss: 0.001091 loss_kpt: 0.001091 acc_pose: 0.799855 2023/08/08 11:26:19 - mmengine - INFO - Epoch(train) [13][210/529] lr: 5.000000e-04 eta: 10:19:25 time: 0.355477 data_time: 0.034150 memory: 4565 loss: 0.001092 loss_kpt: 0.001092 acc_pose: 0.784231 2023/08/08 11:26:22 - mmengine - INFO - Epoch(train) [13][220/529] lr: 5.000000e-04 eta: 10:19:21 time: 0.350721 data_time: 0.030272 memory: 4565 loss: 0.001089 loss_kpt: 0.001089 acc_pose: 0.855002 2023/08/08 11:26:26 - mmengine - INFO - Epoch(train) [13][230/529] lr: 5.000000e-04 eta: 10:19:18 time: 0.351436 data_time: 0.030679 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.820730 2023/08/08 11:26:30 - mmengine - INFO - Epoch(train) [13][240/529] lr: 5.000000e-04 eta: 10:19:14 time: 0.352216 data_time: 0.030575 memory: 4565 loss: 0.001115 loss_kpt: 0.001115 acc_pose: 0.727479 2023/08/08 11:26:33 - mmengine - INFO - Epoch(train) [13][250/529] lr: 5.000000e-04 eta: 10:19:12 time: 0.355477 data_time: 0.030644 memory: 4565 loss: 0.001129 loss_kpt: 0.001129 acc_pose: 0.814044 2023/08/08 11:26:37 - mmengine - INFO - Epoch(train) [13][260/529] lr: 5.000000e-04 eta: 10:19:07 time: 0.354985 data_time: 0.030371 memory: 4565 loss: 0.001131 loss_kpt: 0.001131 acc_pose: 0.820164 2023/08/08 11:26:40 - mmengine - INFO - Epoch(train) [13][270/529] lr: 5.000000e-04 eta: 10:19:04 time: 0.356461 data_time: 0.030629 memory: 4565 loss: 0.001129 loss_kpt: 0.001129 acc_pose: 0.795860 2023/08/08 11:26:44 - mmengine - INFO - Epoch(train) [13][280/529] lr: 5.000000e-04 eta: 10:19:00 time: 0.355087 data_time: 0.030545 memory: 4565 loss: 0.001120 loss_kpt: 0.001120 acc_pose: 0.796149 2023/08/08 11:26:47 - mmengine - INFO - Epoch(train) [13][290/529] lr: 5.000000e-04 eta: 10:18:57 time: 0.356188 data_time: 0.030828 memory: 4565 loss: 0.001108 loss_kpt: 0.001108 acc_pose: 0.761426 2023/08/08 11:26:51 - mmengine - INFO - Epoch(train) [13][300/529] lr: 5.000000e-04 eta: 10:18:54 time: 0.355669 data_time: 0.030688 memory: 4565 loss: 0.001114 loss_kpt: 0.001114 acc_pose: 0.798046 2023/08/08 11:26:55 - mmengine - INFO - Epoch(train) [13][310/529] lr: 5.000000e-04 eta: 10:18:56 time: 0.363616 data_time: 0.030866 memory: 4565 loss: 0.001121 loss_kpt: 0.001121 acc_pose: 0.834289 2023/08/08 11:26:59 - mmengine - INFO - Epoch(train) [13][320/529] lr: 5.000000e-04 eta: 10:18:56 time: 0.368101 data_time: 0.031146 memory: 4565 loss: 0.001127 loss_kpt: 0.001127 acc_pose: 0.789413 2023/08/08 11:27:02 - mmengine - INFO - Epoch(train) [13][330/529] lr: 5.000000e-04 eta: 10:18:54 time: 0.370576 data_time: 0.031634 memory: 4565 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.851764 2023/08/08 11:27:06 - mmengine - INFO - Epoch(train) [13][340/529] lr: 5.000000e-04 eta: 10:18:50 time: 0.369678 data_time: 0.031908 memory: 4565 loss: 0.001133 loss_kpt: 0.001133 acc_pose: 0.786898 2023/08/08 11:27:10 - mmengine - INFO - Epoch(train) [13][350/529] lr: 5.000000e-04 eta: 10:18:49 time: 0.372298 data_time: 0.032404 memory: 4565 loss: 0.001123 loss_kpt: 0.001123 acc_pose: 0.811060 2023/08/08 11:27:13 - mmengine - INFO - Epoch(train) [13][360/529] lr: 5.000000e-04 eta: 10:18:45 time: 0.364229 data_time: 0.032285 memory: 4565 loss: 0.001129 loss_kpt: 0.001129 acc_pose: 0.792585 2023/08/08 11:27:17 - mmengine - INFO - Epoch(train) [13][370/529] lr: 5.000000e-04 eta: 10:18:41 time: 0.358940 data_time: 0.031794 memory: 4565 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.716939 2023/08/08 11:27:20 - mmengine - INFO - Epoch(train) [13][380/529] lr: 5.000000e-04 eta: 10:18:36 time: 0.355590 data_time: 0.030929 memory: 4565 loss: 0.001123 loss_kpt: 0.001123 acc_pose: 0.820753 2023/08/08 11:27:24 - mmengine - INFO - Epoch(train) [13][390/529] lr: 5.000000e-04 eta: 10:18:32 time: 0.355371 data_time: 0.030532 memory: 4565 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.761983 2023/08/08 11:27:27 - mmengine - INFO - Epoch(train) [13][400/529] lr: 5.000000e-04 eta: 10:18:27 time: 0.350374 data_time: 0.030077 memory: 4565 loss: 0.001143 loss_kpt: 0.001143 acc_pose: 0.736869 2023/08/08 11:27:31 - mmengine - INFO - Epoch(train) [13][410/529] lr: 5.000000e-04 eta: 10:18:24 time: 0.352412 data_time: 0.030556 memory: 4565 loss: 0.001148 loss_kpt: 0.001148 acc_pose: 0.752183 2023/08/08 11:27:34 - mmengine - INFO - Epoch(train) [13][420/529] lr: 5.000000e-04 eta: 10:18:21 time: 0.353743 data_time: 0.030605 memory: 4565 loss: 0.001148 loss_kpt: 0.001148 acc_pose: 0.792686 2023/08/08 11:27:38 - mmengine - INFO - Epoch(train) [13][430/529] lr: 5.000000e-04 eta: 10:18:17 time: 0.353457 data_time: 0.030810 memory: 4565 loss: 0.001145 loss_kpt: 0.001145 acc_pose: 0.781132 2023/08/08 11:27:41 - mmengine - INFO - Epoch(train) [13][440/529] lr: 5.000000e-04 eta: 10:18:12 time: 0.352761 data_time: 0.030670 memory: 4565 loss: 0.001151 loss_kpt: 0.001151 acc_pose: 0.736493 2023/08/08 11:27:45 - mmengine - INFO - Epoch(train) [13][450/529] lr: 5.000000e-04 eta: 10:18:08 time: 0.352953 data_time: 0.030825 memory: 4565 loss: 0.001146 loss_kpt: 0.001146 acc_pose: 0.767330 2023/08/08 11:27:48 - mmengine - INFO - Epoch(train) [13][460/529] lr: 5.000000e-04 eta: 10:18:03 time: 0.351164 data_time: 0.030920 memory: 4565 loss: 0.001137 loss_kpt: 0.001137 acc_pose: 0.793031 2023/08/08 11:27:52 - mmengine - INFO - Epoch(train) [13][470/529] lr: 5.000000e-04 eta: 10:18:03 time: 0.354855 data_time: 0.031303 memory: 4565 loss: 0.001129 loss_kpt: 0.001129 acc_pose: 0.810776 2023/08/08 11:27:56 - mmengine - INFO - Epoch(train) [13][480/529] lr: 5.000000e-04 eta: 10:17:59 time: 0.355321 data_time: 0.031218 memory: 4565 loss: 0.001137 loss_kpt: 0.001137 acc_pose: 0.836417 2023/08/08 11:27:59 - mmengine - INFO - Epoch(train) [13][490/529] lr: 5.000000e-04 eta: 10:17:54 time: 0.355356 data_time: 0.031312 memory: 4565 loss: 0.001119 loss_kpt: 0.001119 acc_pose: 0.823174 2023/08/08 11:28:03 - mmengine - INFO - Epoch(train) [13][500/529] lr: 5.000000e-04 eta: 10:17:49 time: 0.355160 data_time: 0.031183 memory: 4565 loss: 0.001099 loss_kpt: 0.001099 acc_pose: 0.789024 2023/08/08 11:28:06 - mmengine - INFO - Epoch(train) [13][510/529] lr: 5.000000e-04 eta: 10:17:45 time: 0.355443 data_time: 0.030889 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.827001 2023/08/08 11:28:10 - mmengine - INFO - Epoch(train) [13][520/529] lr: 5.000000e-04 eta: 10:17:43 time: 0.352965 data_time: 0.033754 memory: 4565 loss: 0.001114 loss_kpt: 0.001114 acc_pose: 0.716784 2023/08/08 11:28:13 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:28:17 - mmengine - INFO - Epoch(train) [14][ 10/529] lr: 5.000000e-04 eta: 10:17:45 time: 0.366685 data_time: 0.037523 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.835560 2023/08/08 11:28:21 - mmengine - INFO - Epoch(train) [14][ 20/529] lr: 5.000000e-04 eta: 10:17:46 time: 0.374207 data_time: 0.037954 memory: 4565 loss: 0.001124 loss_kpt: 0.001124 acc_pose: 0.783973 2023/08/08 11:28:25 - mmengine - INFO - Epoch(train) [14][ 30/529] lr: 5.000000e-04 eta: 10:17:43 time: 0.375934 data_time: 0.037907 memory: 4565 loss: 0.001118 loss_kpt: 0.001118 acc_pose: 0.863076 2023/08/08 11:28:28 - mmengine - INFO - Epoch(train) [14][ 40/529] lr: 5.000000e-04 eta: 10:17:38 time: 0.371562 data_time: 0.034734 memory: 4565 loss: 0.001109 loss_kpt: 0.001109 acc_pose: 0.807158 2023/08/08 11:28:31 - mmengine - INFO - Epoch(train) [14][ 50/529] lr: 5.000000e-04 eta: 10:17:33 time: 0.368514 data_time: 0.035207 memory: 4565 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.769186 2023/08/08 11:28:35 - mmengine - INFO - Epoch(train) [14][ 60/529] lr: 5.000000e-04 eta: 10:17:37 time: 0.369001 data_time: 0.031443 memory: 4565 loss: 0.001108 loss_kpt: 0.001108 acc_pose: 0.760526 2023/08/08 11:28:39 - mmengine - INFO - Epoch(train) [14][ 70/529] lr: 5.000000e-04 eta: 10:17:36 time: 0.365387 data_time: 0.031415 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.838491 2023/08/08 11:28:43 - mmengine - INFO - Epoch(train) [14][ 80/529] lr: 5.000000e-04 eta: 10:17:30 time: 0.361734 data_time: 0.031195 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.710702 2023/08/08 11:28:46 - mmengine - INFO - Epoch(train) [14][ 90/529] lr: 5.000000e-04 eta: 10:17:26 time: 0.363865 data_time: 0.031019 memory: 4565 loss: 0.001097 loss_kpt: 0.001097 acc_pose: 0.737086 2023/08/08 11:28:50 - mmengine - INFO - Epoch(train) [14][100/529] lr: 5.000000e-04 eta: 10:17:21 time: 0.363871 data_time: 0.031209 memory: 4565 loss: 0.001105 loss_kpt: 0.001105 acc_pose: 0.791902 2023/08/08 11:28:53 - mmengine - INFO - Epoch(train) [14][110/529] lr: 5.000000e-04 eta: 10:17:20 time: 0.355819 data_time: 0.030569 memory: 4565 loss: 0.001099 loss_kpt: 0.001099 acc_pose: 0.836957 2023/08/08 11:28:57 - mmengine - INFO - Epoch(train) [14][120/529] lr: 5.000000e-04 eta: 10:17:16 time: 0.353202 data_time: 0.030538 memory: 4565 loss: 0.001106 loss_kpt: 0.001106 acc_pose: 0.879143 2023/08/08 11:28:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:29:00 - mmengine - INFO - Epoch(train) [14][130/529] lr: 5.000000e-04 eta: 10:17:11 time: 0.353832 data_time: 0.030645 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.833193 2023/08/08 11:29:04 - mmengine - INFO - Epoch(train) [14][140/529] lr: 5.000000e-04 eta: 10:17:05 time: 0.351664 data_time: 0.030619 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.819432 2023/08/08 11:29:07 - mmengine - INFO - Epoch(train) [14][150/529] lr: 5.000000e-04 eta: 10:17:01 time: 0.351894 data_time: 0.030419 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.852838 2023/08/08 11:29:11 - mmengine - INFO - Epoch(train) [14][160/529] lr: 5.000000e-04 eta: 10:16:59 time: 0.352505 data_time: 0.030546 memory: 4565 loss: 0.001109 loss_kpt: 0.001109 acc_pose: 0.766455 2023/08/08 11:29:15 - mmengine - INFO - Epoch(train) [14][170/529] lr: 5.000000e-04 eta: 10:16:59 time: 0.356871 data_time: 0.030223 memory: 4565 loss: 0.001106 loss_kpt: 0.001106 acc_pose: 0.741589 2023/08/08 11:29:19 - mmengine - INFO - Epoch(train) [14][180/529] lr: 5.000000e-04 eta: 10:17:02 time: 0.367708 data_time: 0.034306 memory: 4565 loss: 0.001124 loss_kpt: 0.001124 acc_pose: 0.786126 2023/08/08 11:29:22 - mmengine - INFO - Epoch(train) [14][190/529] lr: 5.000000e-04 eta: 10:16:56 time: 0.367590 data_time: 0.034492 memory: 4565 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.793792 2023/08/08 11:29:26 - mmengine - INFO - Epoch(train) [14][200/529] lr: 5.000000e-04 eta: 10:16:51 time: 0.366458 data_time: 0.034659 memory: 4565 loss: 0.001120 loss_kpt: 0.001120 acc_pose: 0.857212 2023/08/08 11:29:29 - mmengine - INFO - Epoch(train) [14][210/529] lr: 5.000000e-04 eta: 10:16:47 time: 0.363524 data_time: 0.034733 memory: 4565 loss: 0.001127 loss_kpt: 0.001127 acc_pose: 0.715107 2023/08/08 11:29:33 - mmengine - INFO - Epoch(train) [14][220/529] lr: 5.000000e-04 eta: 10:16:42 time: 0.357086 data_time: 0.034633 memory: 4565 loss: 0.001123 loss_kpt: 0.001123 acc_pose: 0.796023 2023/08/08 11:29:36 - mmengine - INFO - Epoch(train) [14][230/529] lr: 5.000000e-04 eta: 10:16:40 time: 0.349734 data_time: 0.030577 memory: 4565 loss: 0.001126 loss_kpt: 0.001126 acc_pose: 0.783479 2023/08/08 11:29:40 - mmengine - INFO - Epoch(train) [14][240/529] lr: 5.000000e-04 eta: 10:16:39 time: 0.355722 data_time: 0.031408 memory: 4565 loss: 0.001113 loss_kpt: 0.001113 acc_pose: 0.851005 2023/08/08 11:29:43 - mmengine - INFO - Epoch(train) [14][250/529] lr: 5.000000e-04 eta: 10:16:34 time: 0.356559 data_time: 0.031219 memory: 4565 loss: 0.001121 loss_kpt: 0.001121 acc_pose: 0.790263 2023/08/08 11:29:47 - mmengine - INFO - Epoch(train) [14][260/529] lr: 5.000000e-04 eta: 10:16:29 time: 0.354968 data_time: 0.031253 memory: 4565 loss: 0.001117 loss_kpt: 0.001117 acc_pose: 0.756350 2023/08/08 11:29:50 - mmengine - INFO - Epoch(train) [14][270/529] lr: 5.000000e-04 eta: 10:16:24 time: 0.355797 data_time: 0.031437 memory: 4565 loss: 0.001118 loss_kpt: 0.001118 acc_pose: 0.761302 2023/08/08 11:29:54 - mmengine - INFO - Epoch(train) [14][280/529] lr: 5.000000e-04 eta: 10:16:20 time: 0.353426 data_time: 0.031522 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.774546 2023/08/08 11:29:57 - mmengine - INFO - Epoch(train) [14][290/529] lr: 5.000000e-04 eta: 10:16:16 time: 0.348817 data_time: 0.031451 memory: 4565 loss: 0.001099 loss_kpt: 0.001099 acc_pose: 0.734338 2023/08/08 11:30:01 - mmengine - INFO - Epoch(train) [14][300/529] lr: 5.000000e-04 eta: 10:16:13 time: 0.351631 data_time: 0.031664 memory: 4565 loss: 0.001108 loss_kpt: 0.001108 acc_pose: 0.824347 2023/08/08 11:30:05 - mmengine - INFO - Epoch(train) [14][310/529] lr: 5.000000e-04 eta: 10:16:13 time: 0.358084 data_time: 0.031778 memory: 4565 loss: 0.001105 loss_kpt: 0.001105 acc_pose: 0.729508 2023/08/08 11:30:08 - mmengine - INFO - Epoch(train) [14][320/529] lr: 5.000000e-04 eta: 10:16:08 time: 0.357920 data_time: 0.031623 memory: 4565 loss: 0.001109 loss_kpt: 0.001109 acc_pose: 0.738562 2023/08/08 11:30:12 - mmengine - INFO - Epoch(train) [14][330/529] lr: 5.000000e-04 eta: 10:16:03 time: 0.356507 data_time: 0.031395 memory: 4565 loss: 0.001113 loss_kpt: 0.001113 acc_pose: 0.840311 2023/08/08 11:30:15 - mmengine - INFO - Epoch(train) [14][340/529] lr: 5.000000e-04 eta: 10:16:00 time: 0.358625 data_time: 0.030496 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.805974 2023/08/08 11:30:19 - mmengine - INFO - Epoch(train) [14][350/529] lr: 5.000000e-04 eta: 10:15:57 time: 0.358472 data_time: 0.030358 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.784551 2023/08/08 11:30:22 - mmengine - INFO - Epoch(train) [14][360/529] lr: 5.000000e-04 eta: 10:15:53 time: 0.352912 data_time: 0.030417 memory: 4565 loss: 0.001102 loss_kpt: 0.001102 acc_pose: 0.731025 2023/08/08 11:30:26 - mmengine - INFO - Epoch(train) [14][370/529] lr: 5.000000e-04 eta: 10:15:48 time: 0.352044 data_time: 0.030551 memory: 4565 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.760255 2023/08/08 11:30:29 - mmengine - INFO - Epoch(train) [14][380/529] lr: 5.000000e-04 eta: 10:15:43 time: 0.352930 data_time: 0.030567 memory: 4565 loss: 0.001089 loss_kpt: 0.001089 acc_pose: 0.787592 2023/08/08 11:30:33 - mmengine - INFO - Epoch(train) [14][390/529] lr: 5.000000e-04 eta: 10:15:38 time: 0.349484 data_time: 0.030464 memory: 4565 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.810510 2023/08/08 11:30:36 - mmengine - INFO - Epoch(train) [14][400/529] lr: 5.000000e-04 eta: 10:15:33 time: 0.347220 data_time: 0.030500 memory: 4565 loss: 0.001075 loss_kpt: 0.001075 acc_pose: 0.807457 2023/08/08 11:30:40 - mmengine - INFO - Epoch(train) [14][410/529] lr: 5.000000e-04 eta: 10:15:28 time: 0.345816 data_time: 0.030337 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.699641 2023/08/08 11:30:43 - mmengine - INFO - Epoch(train) [14][420/529] lr: 5.000000e-04 eta: 10:15:25 time: 0.349476 data_time: 0.030635 memory: 4565 loss: 0.001105 loss_kpt: 0.001105 acc_pose: 0.787856 2023/08/08 11:30:47 - mmengine - INFO - Epoch(train) [14][430/529] lr: 5.000000e-04 eta: 10:15:20 time: 0.349110 data_time: 0.030676 memory: 4565 loss: 0.001115 loss_kpt: 0.001115 acc_pose: 0.776499 2023/08/08 11:30:50 - mmengine - INFO - Epoch(train) [14][440/529] lr: 5.000000e-04 eta: 10:15:15 time: 0.348979 data_time: 0.030713 memory: 4565 loss: 0.001130 loss_kpt: 0.001130 acc_pose: 0.797806 2023/08/08 11:30:54 - mmengine - INFO - Epoch(train) [14][450/529] lr: 5.000000e-04 eta: 10:15:10 time: 0.347932 data_time: 0.030601 memory: 4565 loss: 0.001132 loss_kpt: 0.001132 acc_pose: 0.817448 2023/08/08 11:30:57 - mmengine - INFO - Epoch(train) [14][460/529] lr: 5.000000e-04 eta: 10:15:04 time: 0.347076 data_time: 0.030344 memory: 4565 loss: 0.001120 loss_kpt: 0.001120 acc_pose: 0.830729 2023/08/08 11:31:01 - mmengine - INFO - Epoch(train) [14][470/529] lr: 5.000000e-04 eta: 10:14:59 time: 0.343955 data_time: 0.030033 memory: 4565 loss: 0.001125 loss_kpt: 0.001125 acc_pose: 0.745630 2023/08/08 11:31:04 - mmengine - INFO - Epoch(train) [14][480/529] lr: 5.000000e-04 eta: 10:14:54 time: 0.344049 data_time: 0.030257 memory: 4565 loss: 0.001119 loss_kpt: 0.001119 acc_pose: 0.821314 2023/08/08 11:31:08 - mmengine - INFO - Epoch(train) [14][490/529] lr: 5.000000e-04 eta: 10:14:53 time: 0.350020 data_time: 0.034727 memory: 4565 loss: 0.001130 loss_kpt: 0.001130 acc_pose: 0.800216 2023/08/08 11:31:11 - mmengine - INFO - Epoch(train) [14][500/529] lr: 5.000000e-04 eta: 10:14:50 time: 0.352895 data_time: 0.034892 memory: 4565 loss: 0.001116 loss_kpt: 0.001116 acc_pose: 0.792086 2023/08/08 11:31:15 - mmengine - INFO - Epoch(train) [14][510/529] lr: 5.000000e-04 eta: 10:14:44 time: 0.352890 data_time: 0.034982 memory: 4565 loss: 0.001127 loss_kpt: 0.001127 acc_pose: 0.659370 2023/08/08 11:31:18 - mmengine - INFO - Epoch(train) [14][520/529] lr: 5.000000e-04 eta: 10:14:39 time: 0.351651 data_time: 0.035019 memory: 4565 loss: 0.001132 loss_kpt: 0.001132 acc_pose: 0.817311 2023/08/08 11:31:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:31:25 - mmengine - INFO - Epoch(train) [15][ 10/529] lr: 5.000000e-04 eta: 10:14:33 time: 0.351692 data_time: 0.034189 memory: 4565 loss: 0.001132 loss_kpt: 0.001132 acc_pose: 0.790005 2023/08/08 11:31:29 - mmengine - INFO - Epoch(train) [15][ 20/529] lr: 5.000000e-04 eta: 10:14:32 time: 0.355155 data_time: 0.034663 memory: 4565 loss: 0.001145 loss_kpt: 0.001145 acc_pose: 0.780166 2023/08/08 11:31:32 - mmengine - INFO - Epoch(train) [15][ 30/529] lr: 5.000000e-04 eta: 10:14:29 time: 0.357357 data_time: 0.034985 memory: 4565 loss: 0.001133 loss_kpt: 0.001133 acc_pose: 0.830255 2023/08/08 11:31:36 - mmengine - INFO - Epoch(train) [15][ 40/529] lr: 5.000000e-04 eta: 10:14:25 time: 0.361024 data_time: 0.035108 memory: 4565 loss: 0.001113 loss_kpt: 0.001113 acc_pose: 0.796037 2023/08/08 11:31:40 - mmengine - INFO - Epoch(train) [15][ 50/529] lr: 5.000000e-04 eta: 10:14:25 time: 0.368105 data_time: 0.035820 memory: 4565 loss: 0.001110 loss_kpt: 0.001110 acc_pose: 0.833731 2023/08/08 11:31:43 - mmengine - INFO - Epoch(train) [15][ 60/529] lr: 5.000000e-04 eta: 10:14:24 time: 0.366999 data_time: 0.034988 memory: 4565 loss: 0.001097 loss_kpt: 0.001097 acc_pose: 0.791692 2023/08/08 11:31:47 - mmengine - INFO - Epoch(train) [15][ 70/529] lr: 5.000000e-04 eta: 10:14:19 time: 0.362265 data_time: 0.034233 memory: 4565 loss: 0.001099 loss_kpt: 0.001099 acc_pose: 0.740164 2023/08/08 11:31:50 - mmengine - INFO - Epoch(train) [15][ 80/529] lr: 5.000000e-04 eta: 10:14:16 time: 0.363120 data_time: 0.034201 memory: 4565 loss: 0.001087 loss_kpt: 0.001087 acc_pose: 0.853557 2023/08/08 11:31:54 - mmengine - INFO - Epoch(train) [15][ 90/529] lr: 5.000000e-04 eta: 10:14:17 time: 0.369573 data_time: 0.034559 memory: 4565 loss: 0.001089 loss_kpt: 0.001089 acc_pose: 0.822196 2023/08/08 11:31:58 - mmengine - INFO - Epoch(train) [15][100/529] lr: 5.000000e-04 eta: 10:14:14 time: 0.365517 data_time: 0.034855 memory: 4565 loss: 0.001101 loss_kpt: 0.001101 acc_pose: 0.806633 2023/08/08 11:32:01 - mmengine - INFO - Epoch(train) [15][110/529] lr: 5.000000e-04 eta: 10:14:10 time: 0.361428 data_time: 0.031044 memory: 4565 loss: 0.001115 loss_kpt: 0.001115 acc_pose: 0.809399 2023/08/08 11:32:05 - mmengine - INFO - Epoch(train) [15][120/529] lr: 5.000000e-04 eta: 10:14:08 time: 0.365719 data_time: 0.035230 memory: 4565 loss: 0.001114 loss_kpt: 0.001114 acc_pose: 0.793108 2023/08/08 11:32:09 - mmengine - INFO - Epoch(train) [15][130/529] lr: 5.000000e-04 eta: 10:14:06 time: 0.367679 data_time: 0.035040 memory: 4565 loss: 0.001132 loss_kpt: 0.001132 acc_pose: 0.843326 2023/08/08 11:32:12 - mmengine - INFO - Epoch(train) [15][140/529] lr: 5.000000e-04 eta: 10:14:03 time: 0.360810 data_time: 0.035231 memory: 4565 loss: 0.001130 loss_kpt: 0.001130 acc_pose: 0.797364 2023/08/08 11:32:16 - mmengine - INFO - Epoch(train) [15][150/529] lr: 5.000000e-04 eta: 10:13:59 time: 0.359581 data_time: 0.035629 memory: 4565 loss: 0.001122 loss_kpt: 0.001122 acc_pose: 0.792274 2023/08/08 11:32:19 - mmengine - INFO - Epoch(train) [15][160/529] lr: 5.000000e-04 eta: 10:13:54 time: 0.359497 data_time: 0.035987 memory: 4565 loss: 0.001124 loss_kpt: 0.001124 acc_pose: 0.722631 2023/08/08 11:32:23 - mmengine - INFO - Epoch(train) [15][170/529] lr: 5.000000e-04 eta: 10:13:50 time: 0.355506 data_time: 0.032322 memory: 4565 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.817584 2023/08/08 11:32:27 - mmengine - INFO - Epoch(train) [15][180/529] lr: 5.000000e-04 eta: 10:13:48 time: 0.354422 data_time: 0.032574 memory: 4565 loss: 0.001096 loss_kpt: 0.001096 acc_pose: 0.799423 2023/08/08 11:32:30 - mmengine - INFO - Epoch(train) [15][190/529] lr: 5.000000e-04 eta: 10:13:44 time: 0.353886 data_time: 0.032483 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.779794 2023/08/08 11:32:34 - mmengine - INFO - Epoch(train) [15][200/529] lr: 5.000000e-04 eta: 10:13:42 time: 0.356943 data_time: 0.032428 memory: 4565 loss: 0.001088 loss_kpt: 0.001088 acc_pose: 0.810752 2023/08/08 11:32:38 - mmengine - INFO - Epoch(train) [15][210/529] lr: 5.000000e-04 eta: 10:13:43 time: 0.364681 data_time: 0.032558 memory: 4565 loss: 0.001071 loss_kpt: 0.001071 acc_pose: 0.817797 2023/08/08 11:32:41 - mmengine - INFO - Epoch(train) [15][220/529] lr: 5.000000e-04 eta: 10:13:42 time: 0.369169 data_time: 0.032627 memory: 4565 loss: 0.001089 loss_kpt: 0.001089 acc_pose: 0.808675 2023/08/08 11:32:45 - mmengine - INFO - Epoch(train) [15][230/529] lr: 5.000000e-04 eta: 10:13:37 time: 0.366963 data_time: 0.032411 memory: 4565 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.736908 2023/08/08 11:32:48 - mmengine - INFO - Epoch(train) [15][240/529] lr: 5.000000e-04 eta: 10:13:33 time: 0.366819 data_time: 0.031954 memory: 4565 loss: 0.001117 loss_kpt: 0.001117 acc_pose: 0.727370 2023/08/08 11:32:52 - mmengine - INFO - Epoch(train) [15][250/529] lr: 5.000000e-04 eta: 10:13:30 time: 0.364217 data_time: 0.031869 memory: 4565 loss: 0.001137 loss_kpt: 0.001137 acc_pose: 0.831894 2023/08/08 11:32:56 - mmengine - INFO - Epoch(train) [15][260/529] lr: 5.000000e-04 eta: 10:13:31 time: 0.364871 data_time: 0.031682 memory: 4565 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.756974 2023/08/08 11:32:59 - mmengine - INFO - Epoch(train) [15][270/529] lr: 5.000000e-04 eta: 10:13:28 time: 0.362256 data_time: 0.031409 memory: 4565 loss: 0.001146 loss_kpt: 0.001146 acc_pose: 0.843846 2023/08/08 11:33:03 - mmengine - INFO - Epoch(train) [15][280/529] lr: 5.000000e-04 eta: 10:13:24 time: 0.362609 data_time: 0.031570 memory: 4565 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.826575 2023/08/08 11:33:07 - mmengine - INFO - Epoch(train) [15][290/529] lr: 5.000000e-04 eta: 10:13:22 time: 0.365010 data_time: 0.031733 memory: 4565 loss: 0.001129 loss_kpt: 0.001129 acc_pose: 0.744694 2023/08/08 11:33:10 - mmengine - INFO - Epoch(train) [15][300/529] lr: 5.000000e-04 eta: 10:13:21 time: 0.369588 data_time: 0.035113 memory: 4565 loss: 0.001138 loss_kpt: 0.001138 acc_pose: 0.709362 2023/08/08 11:33:14 - mmengine - INFO - Epoch(train) [15][310/529] lr: 5.000000e-04 eta: 10:13:20 time: 0.365538 data_time: 0.035210 memory: 4565 loss: 0.001141 loss_kpt: 0.001141 acc_pose: 0.823239 2023/08/08 11:33:18 - mmengine - INFO - Epoch(train) [15][320/529] lr: 5.000000e-04 eta: 10:13:16 time: 0.364464 data_time: 0.035545 memory: 4565 loss: 0.001117 loss_kpt: 0.001117 acc_pose: 0.807566 2023/08/08 11:33:21 - mmengine - INFO - Epoch(train) [15][330/529] lr: 5.000000e-04 eta: 10:13:12 time: 0.363973 data_time: 0.035224 memory: 4565 loss: 0.001132 loss_kpt: 0.001132 acc_pose: 0.807664 2023/08/08 11:33:25 - mmengine - INFO - Epoch(train) [15][340/529] lr: 5.000000e-04 eta: 10:13:07 time: 0.360757 data_time: 0.035047 memory: 4565 loss: 0.001116 loss_kpt: 0.001116 acc_pose: 0.789117 2023/08/08 11:33:28 - mmengine - INFO - Epoch(train) [15][350/529] lr: 5.000000e-04 eta: 10:13:03 time: 0.354984 data_time: 0.031072 memory: 4565 loss: 0.001105 loss_kpt: 0.001105 acc_pose: 0.773236 2023/08/08 11:33:32 - mmengine - INFO - Epoch(train) [15][360/529] lr: 5.000000e-04 eta: 10:12:58 time: 0.350851 data_time: 0.030983 memory: 4565 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.735762 2023/08/08 11:33:35 - mmengine - INFO - Epoch(train) [15][370/529] lr: 5.000000e-04 eta: 10:12:57 time: 0.353789 data_time: 0.030687 memory: 4565 loss: 0.001098 loss_kpt: 0.001098 acc_pose: 0.797445 2023/08/08 11:33:39 - mmengine - INFO - Epoch(train) [15][380/529] lr: 5.000000e-04 eta: 10:12:53 time: 0.355012 data_time: 0.031146 memory: 4565 loss: 0.001091 loss_kpt: 0.001091 acc_pose: 0.737933 2023/08/08 11:33:42 - mmengine - INFO - Epoch(train) [15][390/529] lr: 5.000000e-04 eta: 10:12:49 time: 0.355029 data_time: 0.030868 memory: 4565 loss: 0.001106 loss_kpt: 0.001106 acc_pose: 0.860530 2023/08/08 11:33:46 - mmengine - INFO - Epoch(train) [15][400/529] lr: 5.000000e-04 eta: 10:12:44 time: 0.355404 data_time: 0.031106 memory: 4565 loss: 0.001097 loss_kpt: 0.001097 acc_pose: 0.712124 2023/08/08 11:33:49 - mmengine - INFO - Epoch(train) [15][410/529] lr: 5.000000e-04 eta: 10:12:40 time: 0.355229 data_time: 0.030831 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.820760 2023/08/08 11:33:53 - mmengine - INFO - Epoch(train) [15][420/529] lr: 5.000000e-04 eta: 10:12:36 time: 0.351572 data_time: 0.031092 memory: 4565 loss: 0.001106 loss_kpt: 0.001106 acc_pose: 0.883177 2023/08/08 11:33:56 - mmengine - INFO - Epoch(train) [15][430/529] lr: 5.000000e-04 eta: 10:12:32 time: 0.350837 data_time: 0.030732 memory: 4565 loss: 0.001098 loss_kpt: 0.001098 acc_pose: 0.806806 2023/08/08 11:34:00 - mmengine - INFO - Epoch(train) [15][440/529] lr: 5.000000e-04 eta: 10:12:30 time: 0.354173 data_time: 0.031169 memory: 4565 loss: 0.001078 loss_kpt: 0.001078 acc_pose: 0.774065 2023/08/08 11:34:04 - mmengine - INFO - Epoch(train) [15][450/529] lr: 5.000000e-04 eta: 10:12:31 time: 0.362171 data_time: 0.031030 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.708949 2023/08/08 11:34:08 - mmengine - INFO - Epoch(train) [15][460/529] lr: 5.000000e-04 eta: 10:12:29 time: 0.365735 data_time: 0.031487 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.787593 2023/08/08 11:34:11 - mmengine - INFO - Epoch(train) [15][470/529] lr: 5.000000e-04 eta: 10:12:27 time: 0.368569 data_time: 0.031061 memory: 4565 loss: 0.001101 loss_kpt: 0.001101 acc_pose: 0.821347 2023/08/08 11:34:15 - mmengine - INFO - Epoch(train) [15][480/529] lr: 5.000000e-04 eta: 10:12:23 time: 0.368975 data_time: 0.031472 memory: 4565 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.786500 2023/08/08 11:34:18 - mmengine - INFO - Epoch(train) [15][490/529] lr: 5.000000e-04 eta: 10:12:19 time: 0.366767 data_time: 0.031202 memory: 4565 loss: 0.001126 loss_kpt: 0.001126 acc_pose: 0.747471 2023/08/08 11:34:22 - mmengine - INFO - Epoch(train) [15][500/529] lr: 5.000000e-04 eta: 10:12:17 time: 0.361709 data_time: 0.031612 memory: 4565 loss: 0.001116 loss_kpt: 0.001116 acc_pose: 0.800519 2023/08/08 11:34:26 - mmengine - INFO - Epoch(train) [15][510/529] lr: 5.000000e-04 eta: 10:12:13 time: 0.358731 data_time: 0.031332 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.805028 2023/08/08 11:34:29 - mmengine - INFO - Epoch(train) [15][520/529] lr: 5.000000e-04 eta: 10:12:08 time: 0.355537 data_time: 0.031678 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.786013 2023/08/08 11:34:32 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:34:36 - mmengine - INFO - Epoch(train) [16][ 10/529] lr: 5.000000e-04 eta: 10:12:02 time: 0.357450 data_time: 0.034876 memory: 4565 loss: 0.001087 loss_kpt: 0.001087 acc_pose: 0.778252 2023/08/08 11:34:40 - mmengine - INFO - Epoch(train) [16][ 20/529] lr: 5.000000e-04 eta: 10:11:58 time: 0.354173 data_time: 0.034664 memory: 4565 loss: 0.001088 loss_kpt: 0.001088 acc_pose: 0.782126 2023/08/08 11:34:43 - mmengine - INFO - Epoch(train) [16][ 30/529] lr: 5.000000e-04 eta: 10:11:54 time: 0.353191 data_time: 0.034756 memory: 4565 loss: 0.001092 loss_kpt: 0.001092 acc_pose: 0.772647 2023/08/08 11:34:46 - mmengine - INFO - Epoch(train) [16][ 40/529] lr: 5.000000e-04 eta: 10:11:48 time: 0.351235 data_time: 0.034425 memory: 4565 loss: 0.001090 loss_kpt: 0.001090 acc_pose: 0.853916 2023/08/08 11:34:50 - mmengine - INFO - Epoch(train) [16][ 50/529] lr: 5.000000e-04 eta: 10:11:43 time: 0.350568 data_time: 0.035087 memory: 4565 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.725956 2023/08/08 11:34:53 - mmengine - INFO - Epoch(train) [16][ 60/529] lr: 5.000000e-04 eta: 10:11:38 time: 0.346002 data_time: 0.030734 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.761968 2023/08/08 11:34:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:34:57 - mmengine - INFO - Epoch(train) [16][ 70/529] lr: 5.000000e-04 eta: 10:11:34 time: 0.345262 data_time: 0.030708 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.746126 2023/08/08 11:35:00 - mmengine - INFO - Epoch(train) [16][ 80/529] lr: 5.000000e-04 eta: 10:11:29 time: 0.344773 data_time: 0.030895 memory: 4565 loss: 0.001106 loss_kpt: 0.001106 acc_pose: 0.752789 2023/08/08 11:35:04 - mmengine - INFO - Epoch(train) [16][ 90/529] lr: 5.000000e-04 eta: 10:11:25 time: 0.347226 data_time: 0.031108 memory: 4565 loss: 0.001105 loss_kpt: 0.001105 acc_pose: 0.804805 2023/08/08 11:35:07 - mmengine - INFO - Epoch(train) [16][100/529] lr: 5.000000e-04 eta: 10:11:20 time: 0.347814 data_time: 0.031074 memory: 4565 loss: 0.001096 loss_kpt: 0.001096 acc_pose: 0.747509 2023/08/08 11:35:11 - mmengine - INFO - Epoch(train) [16][110/529] lr: 5.000000e-04 eta: 10:11:15 time: 0.347014 data_time: 0.030953 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.747716 2023/08/08 11:35:14 - mmengine - INFO - Epoch(train) [16][120/529] lr: 5.000000e-04 eta: 10:11:12 time: 0.349748 data_time: 0.030828 memory: 4565 loss: 0.001082 loss_kpt: 0.001082 acc_pose: 0.774143 2023/08/08 11:35:18 - mmengine - INFO - Epoch(train) [16][130/529] lr: 5.000000e-04 eta: 10:11:07 time: 0.350542 data_time: 0.030777 memory: 4565 loss: 0.001072 loss_kpt: 0.001072 acc_pose: 0.785258 2023/08/08 11:35:21 - mmengine - INFO - Epoch(train) [16][140/529] lr: 5.000000e-04 eta: 10:11:05 time: 0.352851 data_time: 0.034983 memory: 4565 loss: 0.001092 loss_kpt: 0.001092 acc_pose: 0.702395 2023/08/08 11:35:25 - mmengine - INFO - Epoch(train) [16][150/529] lr: 5.000000e-04 eta: 10:11:00 time: 0.353776 data_time: 0.035424 memory: 4565 loss: 0.001109 loss_kpt: 0.001109 acc_pose: 0.751159 2023/08/08 11:35:28 - mmengine - INFO - Epoch(train) [16][160/529] lr: 5.000000e-04 eta: 10:10:56 time: 0.354126 data_time: 0.035482 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.859924 2023/08/08 11:35:32 - mmengine - INFO - Epoch(train) [16][170/529] lr: 5.000000e-04 eta: 10:10:51 time: 0.350684 data_time: 0.035407 memory: 4565 loss: 0.001111 loss_kpt: 0.001111 acc_pose: 0.847871 2023/08/08 11:35:35 - mmengine - INFO - Epoch(train) [16][180/529] lr: 5.000000e-04 eta: 10:10:46 time: 0.349661 data_time: 0.035074 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.816288 2023/08/08 11:35:39 - mmengine - INFO - Epoch(train) [16][190/529] lr: 5.000000e-04 eta: 10:10:40 time: 0.345432 data_time: 0.030602 memory: 4565 loss: 0.001080 loss_kpt: 0.001080 acc_pose: 0.804492 2023/08/08 11:35:42 - mmengine - INFO - Epoch(train) [16][200/529] lr: 5.000000e-04 eta: 10:10:35 time: 0.344362 data_time: 0.030200 memory: 4565 loss: 0.001068 loss_kpt: 0.001068 acc_pose: 0.781594 2023/08/08 11:35:46 - mmengine - INFO - Epoch(train) [16][210/529] lr: 5.000000e-04 eta: 10:10:31 time: 0.345024 data_time: 0.030403 memory: 4565 loss: 0.001079 loss_kpt: 0.001079 acc_pose: 0.816293 2023/08/08 11:35:49 - mmengine - INFO - Epoch(train) [16][220/529] lr: 5.000000e-04 eta: 10:10:27 time: 0.345939 data_time: 0.031012 memory: 4565 loss: 0.001089 loss_kpt: 0.001089 acc_pose: 0.817711 2023/08/08 11:35:53 - mmengine - INFO - Epoch(train) [16][230/529] lr: 5.000000e-04 eta: 10:10:23 time: 0.348154 data_time: 0.031281 memory: 4565 loss: 0.001099 loss_kpt: 0.001099 acc_pose: 0.812343 2023/08/08 11:35:57 - mmengine - INFO - Epoch(train) [16][240/529] lr: 5.000000e-04 eta: 10:10:23 time: 0.356691 data_time: 0.031719 memory: 4565 loss: 0.001109 loss_kpt: 0.001109 acc_pose: 0.833308 2023/08/08 11:36:00 - mmengine - INFO - Epoch(train) [16][250/529] lr: 5.000000e-04 eta: 10:10:19 time: 0.358759 data_time: 0.031837 memory: 4565 loss: 0.001108 loss_kpt: 0.001108 acc_pose: 0.894821 2023/08/08 11:36:04 - mmengine - INFO - Epoch(train) [16][260/529] lr: 5.000000e-04 eta: 10:10:15 time: 0.358102 data_time: 0.031753 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.802469 2023/08/08 11:36:07 - mmengine - INFO - Epoch(train) [16][270/529] lr: 5.000000e-04 eta: 10:10:10 time: 0.357642 data_time: 0.031389 memory: 4565 loss: 0.001091 loss_kpt: 0.001091 acc_pose: 0.773168 2023/08/08 11:36:11 - mmengine - INFO - Epoch(train) [16][280/529] lr: 5.000000e-04 eta: 10:10:06 time: 0.357263 data_time: 0.031260 memory: 4565 loss: 0.001092 loss_kpt: 0.001092 acc_pose: 0.753979 2023/08/08 11:36:14 - mmengine - INFO - Epoch(train) [16][290/529] lr: 5.000000e-04 eta: 10:10:00 time: 0.348019 data_time: 0.030849 memory: 4565 loss: 0.001085 loss_kpt: 0.001085 acc_pose: 0.811198 2023/08/08 11:36:17 - mmengine - INFO - Epoch(train) [16][300/529] lr: 5.000000e-04 eta: 10:09:55 time: 0.345268 data_time: 0.030728 memory: 4565 loss: 0.001079 loss_kpt: 0.001079 acc_pose: 0.768117 2023/08/08 11:36:21 - mmengine - INFO - Epoch(train) [16][310/529] lr: 5.000000e-04 eta: 10:09:50 time: 0.344538 data_time: 0.030560 memory: 4565 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.820617 2023/08/08 11:36:24 - mmengine - INFO - Epoch(train) [16][320/529] lr: 5.000000e-04 eta: 10:09:48 time: 0.348747 data_time: 0.031064 memory: 4565 loss: 0.001069 loss_kpt: 0.001069 acc_pose: 0.821052 2023/08/08 11:36:28 - mmengine - INFO - Epoch(train) [16][330/529] lr: 5.000000e-04 eta: 10:09:49 time: 0.356641 data_time: 0.031473 memory: 4565 loss: 0.001061 loss_kpt: 0.001061 acc_pose: 0.781206 2023/08/08 11:36:32 - mmengine - INFO - Epoch(train) [16][340/529] lr: 5.000000e-04 eta: 10:09:46 time: 0.360635 data_time: 0.031915 memory: 4565 loss: 0.001057 loss_kpt: 0.001057 acc_pose: 0.835163 2023/08/08 11:36:36 - mmengine - INFO - Epoch(train) [16][350/529] lr: 5.000000e-04 eta: 10:09:43 time: 0.364901 data_time: 0.035833 memory: 4565 loss: 0.001058 loss_kpt: 0.001058 acc_pose: 0.820806 2023/08/08 11:36:39 - mmengine - INFO - Epoch(train) [16][360/529] lr: 5.000000e-04 eta: 10:09:38 time: 0.364759 data_time: 0.035868 memory: 4565 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.750266 2023/08/08 11:36:42 - mmengine - INFO - Epoch(train) [16][370/529] lr: 5.000000e-04 eta: 10:09:32 time: 0.359254 data_time: 0.035136 memory: 4565 loss: 0.001068 loss_kpt: 0.001068 acc_pose: 0.745585 2023/08/08 11:36:46 - mmengine - INFO - Epoch(train) [16][380/529] lr: 5.000000e-04 eta: 10:09:27 time: 0.349273 data_time: 0.034640 memory: 4565 loss: 0.001079 loss_kpt: 0.001079 acc_pose: 0.748949 2023/08/08 11:36:50 - mmengine - INFO - Epoch(train) [16][390/529] lr: 5.000000e-04 eta: 10:09:28 time: 0.355501 data_time: 0.034742 memory: 4565 loss: 0.001108 loss_kpt: 0.001108 acc_pose: 0.735677 2023/08/08 11:36:53 - mmengine - INFO - Epoch(train) [16][400/529] lr: 5.000000e-04 eta: 10:09:24 time: 0.354415 data_time: 0.031240 memory: 4565 loss: 0.001121 loss_kpt: 0.001121 acc_pose: 0.735466 2023/08/08 11:36:57 - mmengine - INFO - Epoch(train) [16][410/529] lr: 5.000000e-04 eta: 10:09:19 time: 0.354460 data_time: 0.031181 memory: 4565 loss: 0.001116 loss_kpt: 0.001116 acc_pose: 0.795603 2023/08/08 11:37:00 - mmengine - INFO - Epoch(train) [16][420/529] lr: 5.000000e-04 eta: 10:09:14 time: 0.355579 data_time: 0.031192 memory: 4565 loss: 0.001123 loss_kpt: 0.001123 acc_pose: 0.742662 2023/08/08 11:37:04 - mmengine - INFO - Epoch(train) [16][430/529] lr: 5.000000e-04 eta: 10:09:09 time: 0.355682 data_time: 0.031118 memory: 4565 loss: 0.001116 loss_kpt: 0.001116 acc_pose: 0.861822 2023/08/08 11:37:07 - mmengine - INFO - Epoch(train) [16][440/529] lr: 5.000000e-04 eta: 10:09:04 time: 0.346400 data_time: 0.030561 memory: 4565 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.851436 2023/08/08 11:37:11 - mmengine - INFO - Epoch(train) [16][450/529] lr: 5.000000e-04 eta: 10:08:59 time: 0.343772 data_time: 0.030312 memory: 4565 loss: 0.001083 loss_kpt: 0.001083 acc_pose: 0.804011 2023/08/08 11:37:14 - mmengine - INFO - Epoch(train) [16][460/529] lr: 5.000000e-04 eta: 10:08:55 time: 0.345858 data_time: 0.030744 memory: 4565 loss: 0.001091 loss_kpt: 0.001091 acc_pose: 0.775977 2023/08/08 11:37:17 - mmengine - INFO - Epoch(train) [16][470/529] lr: 5.000000e-04 eta: 10:08:50 time: 0.345685 data_time: 0.030780 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.777687 2023/08/08 11:37:21 - mmengine - INFO - Epoch(train) [16][480/529] lr: 5.000000e-04 eta: 10:08:45 time: 0.346129 data_time: 0.030858 memory: 4565 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.785996 2023/08/08 11:37:24 - mmengine - INFO - Epoch(train) [16][490/529] lr: 5.000000e-04 eta: 10:08:41 time: 0.346371 data_time: 0.030928 memory: 4565 loss: 0.001116 loss_kpt: 0.001116 acc_pose: 0.789366 2023/08/08 11:37:28 - mmengine - INFO - Epoch(train) [16][500/529] lr: 5.000000e-04 eta: 10:08:36 time: 0.346956 data_time: 0.031556 memory: 4565 loss: 0.001113 loss_kpt: 0.001113 acc_pose: 0.803160 2023/08/08 11:37:32 - mmengine - INFO - Epoch(train) [16][510/529] lr: 5.000000e-04 eta: 10:08:33 time: 0.349657 data_time: 0.032520 memory: 4565 loss: 0.001109 loss_kpt: 0.001109 acc_pose: 0.830496 2023/08/08 11:37:35 - mmengine - INFO - Epoch(train) [16][520/529] lr: 5.000000e-04 eta: 10:08:31 time: 0.353140 data_time: 0.033347 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.772907 2023/08/08 11:37:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:37:42 - mmengine - INFO - Epoch(train) [17][ 10/529] lr: 5.000000e-04 eta: 10:08:24 time: 0.357243 data_time: 0.037068 memory: 4565 loss: 0.001098 loss_kpt: 0.001098 acc_pose: 0.748058 2023/08/08 11:37:46 - mmengine - INFO - Epoch(train) [17][ 20/529] lr: 5.000000e-04 eta: 10:08:26 time: 0.367378 data_time: 0.036370 memory: 4565 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.756883 2023/08/08 11:37:50 - mmengine - INFO - Epoch(train) [17][ 30/529] lr: 5.000000e-04 eta: 10:08:29 time: 0.376452 data_time: 0.038671 memory: 4565 loss: 0.001082 loss_kpt: 0.001082 acc_pose: 0.763222 2023/08/08 11:37:54 - mmengine - INFO - Epoch(train) [17][ 40/529] lr: 5.000000e-04 eta: 10:08:30 time: 0.382270 data_time: 0.037847 memory: 4565 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.818998 2023/08/08 11:37:58 - mmengine - INFO - Epoch(train) [17][ 50/529] lr: 5.000000e-04 eta: 10:08:30 time: 0.391675 data_time: 0.039228 memory: 4565 loss: 0.001085 loss_kpt: 0.001085 acc_pose: 0.796968 2023/08/08 11:38:02 - mmengine - INFO - Epoch(train) [17][ 60/529] lr: 5.000000e-04 eta: 10:08:30 time: 0.395377 data_time: 0.035254 memory: 4565 loss: 0.001094 loss_kpt: 0.001094 acc_pose: 0.814837 2023/08/08 11:38:06 - mmengine - INFO - Epoch(train) [17][ 70/529] lr: 5.000000e-04 eta: 10:08:31 time: 0.393933 data_time: 0.035395 memory: 4565 loss: 0.001098 loss_kpt: 0.001098 acc_pose: 0.786291 2023/08/08 11:38:09 - mmengine - INFO - Epoch(train) [17][ 80/529] lr: 5.000000e-04 eta: 10:08:31 time: 0.389730 data_time: 0.031915 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.841479 2023/08/08 11:38:13 - mmengine - INFO - Epoch(train) [17][ 90/529] lr: 5.000000e-04 eta: 10:08:27 time: 0.381945 data_time: 0.031668 memory: 4565 loss: 0.001091 loss_kpt: 0.001091 acc_pose: 0.862163 2023/08/08 11:38:17 - mmengine - INFO - Epoch(train) [17][100/529] lr: 5.000000e-04 eta: 10:08:24 time: 0.376952 data_time: 0.030760 memory: 4565 loss: 0.001068 loss_kpt: 0.001068 acc_pose: 0.828930 2023/08/08 11:38:20 - mmengine - INFO - Epoch(train) [17][110/529] lr: 5.000000e-04 eta: 10:08:21 time: 0.369825 data_time: 0.031305 memory: 4565 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.762105 2023/08/08 11:38:24 - mmengine - INFO - Epoch(train) [17][120/529] lr: 5.000000e-04 eta: 10:08:16 time: 0.362017 data_time: 0.031703 memory: 4565 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.754765 2023/08/08 11:38:27 - mmengine - INFO - Epoch(train) [17][130/529] lr: 5.000000e-04 eta: 10:08:12 time: 0.353618 data_time: 0.031579 memory: 4565 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.819257 2023/08/08 11:38:31 - mmengine - INFO - Epoch(train) [17][140/529] lr: 5.000000e-04 eta: 10:08:08 time: 0.352980 data_time: 0.031608 memory: 4565 loss: 0.001074 loss_kpt: 0.001074 acc_pose: 0.762168 2023/08/08 11:38:35 - mmengine - INFO - Epoch(train) [17][150/529] lr: 5.000000e-04 eta: 10:08:08 time: 0.357626 data_time: 0.032296 memory: 4565 loss: 0.001091 loss_kpt: 0.001091 acc_pose: 0.794993 2023/08/08 11:38:38 - mmengine - INFO - Epoch(train) [17][160/529] lr: 5.000000e-04 eta: 10:08:09 time: 0.366248 data_time: 0.032524 memory: 4565 loss: 0.001117 loss_kpt: 0.001117 acc_pose: 0.758536 2023/08/08 11:38:42 - mmengine - INFO - Epoch(train) [17][170/529] lr: 5.000000e-04 eta: 10:08:05 time: 0.366618 data_time: 0.032100 memory: 4565 loss: 0.001106 loss_kpt: 0.001106 acc_pose: 0.829286 2023/08/08 11:38:46 - mmengine - INFO - Epoch(train) [17][180/529] lr: 5.000000e-04 eta: 10:08:01 time: 0.367053 data_time: 0.031975 memory: 4565 loss: 0.001109 loss_kpt: 0.001109 acc_pose: 0.823724 2023/08/08 11:38:49 - mmengine - INFO - Epoch(train) [17][190/529] lr: 5.000000e-04 eta: 10:07:58 time: 0.369208 data_time: 0.031867 memory: 4565 loss: 0.001099 loss_kpt: 0.001099 acc_pose: 0.816332 2023/08/08 11:38:53 - mmengine - INFO - Epoch(train) [17][200/529] lr: 5.000000e-04 eta: 10:07:54 time: 0.363234 data_time: 0.031274 memory: 4565 loss: 0.001102 loss_kpt: 0.001102 acc_pose: 0.751847 2023/08/08 11:38:56 - mmengine - INFO - Epoch(train) [17][210/529] lr: 5.000000e-04 eta: 10:07:50 time: 0.354226 data_time: 0.030847 memory: 4565 loss: 0.001085 loss_kpt: 0.001085 acc_pose: 0.868915 2023/08/08 11:39:00 - mmengine - INFO - Epoch(train) [17][220/529] lr: 5.000000e-04 eta: 10:07:46 time: 0.354635 data_time: 0.031132 memory: 4565 loss: 0.001083 loss_kpt: 0.001083 acc_pose: 0.787916 2023/08/08 11:39:03 - mmengine - INFO - Epoch(train) [17][230/529] lr: 5.000000e-04 eta: 10:07:42 time: 0.354892 data_time: 0.031452 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.785098 2023/08/08 11:39:07 - mmengine - INFO - Epoch(train) [17][240/529] lr: 5.000000e-04 eta: 10:07:38 time: 0.352877 data_time: 0.031760 memory: 4565 loss: 0.001081 loss_kpt: 0.001081 acc_pose: 0.807033 2023/08/08 11:39:10 - mmengine - INFO - Epoch(train) [17][250/529] lr: 5.000000e-04 eta: 10:07:34 time: 0.353021 data_time: 0.031783 memory: 4565 loss: 0.001072 loss_kpt: 0.001072 acc_pose: 0.771079 2023/08/08 11:39:14 - mmengine - INFO - Epoch(train) [17][260/529] lr: 5.000000e-04 eta: 10:07:34 time: 0.359984 data_time: 0.031419 memory: 4565 loss: 0.001086 loss_kpt: 0.001086 acc_pose: 0.679879 2023/08/08 11:39:18 - mmengine - INFO - Epoch(train) [17][270/529] lr: 5.000000e-04 eta: 10:07:34 time: 0.366244 data_time: 0.031461 memory: 4565 loss: 0.001090 loss_kpt: 0.001090 acc_pose: 0.820992 2023/08/08 11:39:22 - mmengine - INFO - Epoch(train) [17][280/529] lr: 5.000000e-04 eta: 10:07:31 time: 0.367717 data_time: 0.031927 memory: 4565 loss: 0.001070 loss_kpt: 0.001070 acc_pose: 0.804521 2023/08/08 11:39:25 - mmengine - INFO - Epoch(train) [17][290/529] lr: 5.000000e-04 eta: 10:07:27 time: 0.367834 data_time: 0.032374 memory: 4565 loss: 0.001077 loss_kpt: 0.001077 acc_pose: 0.816586 2023/08/08 11:39:29 - mmengine - INFO - Epoch(train) [17][300/529] lr: 5.000000e-04 eta: 10:07:23 time: 0.366976 data_time: 0.032731 memory: 4565 loss: 0.001081 loss_kpt: 0.001081 acc_pose: 0.810693 2023/08/08 11:39:32 - mmengine - INFO - Epoch(train) [17][310/529] lr: 5.000000e-04 eta: 10:07:19 time: 0.360644 data_time: 0.034002 memory: 4565 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.771983 2023/08/08 11:39:36 - mmengine - INFO - Epoch(train) [17][320/529] lr: 5.000000e-04 eta: 10:07:14 time: 0.352504 data_time: 0.034429 memory: 4565 loss: 0.001074 loss_kpt: 0.001074 acc_pose: 0.828919 2023/08/08 11:39:39 - mmengine - INFO - Epoch(train) [17][330/529] lr: 5.000000e-04 eta: 10:07:12 time: 0.353290 data_time: 0.034060 memory: 4565 loss: 0.001085 loss_kpt: 0.001085 acc_pose: 0.814588 2023/08/08 11:39:43 - mmengine - INFO - Epoch(train) [17][340/529] lr: 5.000000e-04 eta: 10:07:08 time: 0.354772 data_time: 0.034164 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.773296 2023/08/08 11:39:47 - mmengine - INFO - Epoch(train) [17][350/529] lr: 5.000000e-04 eta: 10:07:06 time: 0.358550 data_time: 0.034574 memory: 4565 loss: 0.001098 loss_kpt: 0.001098 acc_pose: 0.768327 2023/08/08 11:39:50 - mmengine - INFO - Epoch(train) [17][360/529] lr: 5.000000e-04 eta: 10:07:02 time: 0.357171 data_time: 0.033941 memory: 4565 loss: 0.001081 loss_kpt: 0.001081 acc_pose: 0.758226 2023/08/08 11:39:54 - mmengine - INFO - Epoch(train) [17][370/529] lr: 5.000000e-04 eta: 10:06:58 time: 0.357636 data_time: 0.033888 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.750421 2023/08/08 11:39:57 - mmengine - INFO - Epoch(train) [17][380/529] lr: 5.000000e-04 eta: 10:06:53 time: 0.354736 data_time: 0.034458 memory: 4565 loss: 0.001097 loss_kpt: 0.001097 acc_pose: 0.777320 2023/08/08 11:40:01 - mmengine - INFO - Epoch(train) [17][390/529] lr: 5.000000e-04 eta: 10:06:48 time: 0.351782 data_time: 0.034108 memory: 4565 loss: 0.001087 loss_kpt: 0.001087 acc_pose: 0.874605 2023/08/08 11:40:04 - mmengine - INFO - Epoch(train) [17][400/529] lr: 5.000000e-04 eta: 10:06:44 time: 0.347571 data_time: 0.033221 memory: 4565 loss: 0.001081 loss_kpt: 0.001081 acc_pose: 0.780920 2023/08/08 11:40:07 - mmengine - INFO - Epoch(train) [17][410/529] lr: 5.000000e-04 eta: 10:06:39 time: 0.347140 data_time: 0.032576 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.744726 2023/08/08 11:40:11 - mmengine - INFO - Epoch(train) [17][420/529] lr: 5.000000e-04 eta: 10:06:34 time: 0.345949 data_time: 0.031851 memory: 4565 loss: 0.001083 loss_kpt: 0.001083 acc_pose: 0.834790 2023/08/08 11:40:14 - mmengine - INFO - Epoch(train) [17][430/529] lr: 5.000000e-04 eta: 10:06:30 time: 0.347381 data_time: 0.030996 memory: 4565 loss: 0.001091 loss_kpt: 0.001091 acc_pose: 0.822091 2023/08/08 11:40:18 - mmengine - INFO - Epoch(train) [17][440/529] lr: 5.000000e-04 eta: 10:06:25 time: 0.347133 data_time: 0.030573 memory: 4565 loss: 0.001092 loss_kpt: 0.001092 acc_pose: 0.812063 2023/08/08 11:40:21 - mmengine - INFO - Epoch(train) [17][450/529] lr: 5.000000e-04 eta: 10:06:21 time: 0.347312 data_time: 0.031282 memory: 4565 loss: 0.001074 loss_kpt: 0.001074 acc_pose: 0.876722 2023/08/08 11:40:25 - mmengine - INFO - Epoch(train) [17][460/529] lr: 5.000000e-04 eta: 10:06:16 time: 0.347097 data_time: 0.031336 memory: 4565 loss: 0.001059 loss_kpt: 0.001059 acc_pose: 0.786985 2023/08/08 11:40:28 - mmengine - INFO - Epoch(train) [17][470/529] lr: 5.000000e-04 eta: 10:06:12 time: 0.348547 data_time: 0.031606 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.774820 2023/08/08 11:40:32 - mmengine - INFO - Epoch(train) [17][480/529] lr: 5.000000e-04 eta: 10:06:08 time: 0.349209 data_time: 0.032291 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.795677 2023/08/08 11:40:36 - mmengine - INFO - Epoch(train) [17][490/529] lr: 5.000000e-04 eta: 10:06:09 time: 0.358885 data_time: 0.032956 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.769269 2023/08/08 11:40:40 - mmengine - INFO - Epoch(train) [17][500/529] lr: 5.000000e-04 eta: 10:06:12 time: 0.371176 data_time: 0.032780 memory: 4565 loss: 0.001070 loss_kpt: 0.001070 acc_pose: 0.763812 2023/08/08 11:40:44 - mmengine - INFO - Epoch(train) [17][510/529] lr: 5.000000e-04 eta: 10:06:12 time: 0.380078 data_time: 0.033130 memory: 4565 loss: 0.001069 loss_kpt: 0.001069 acc_pose: 0.803812 2023/08/08 11:40:47 - mmengine - INFO - Epoch(train) [17][520/529] lr: 5.000000e-04 eta: 10:06:07 time: 0.379290 data_time: 0.033061 memory: 4565 loss: 0.001077 loss_kpt: 0.001077 acc_pose: 0.780245 2023/08/08 11:40:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:40:53 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:40:54 - mmengine - INFO - Epoch(train) [18][ 10/529] lr: 5.000000e-04 eta: 10:06:01 time: 0.373605 data_time: 0.035702 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.771985 2023/08/08 11:40:58 - mmengine - INFO - Epoch(train) [18][ 20/529] lr: 5.000000e-04 eta: 10:05:58 time: 0.364615 data_time: 0.035237 memory: 4565 loss: 0.001077 loss_kpt: 0.001077 acc_pose: 0.820706 2023/08/08 11:41:01 - mmengine - INFO - Epoch(train) [18][ 30/529] lr: 5.000000e-04 eta: 10:05:54 time: 0.354802 data_time: 0.034409 memory: 4565 loss: 0.001066 loss_kpt: 0.001066 acc_pose: 0.872531 2023/08/08 11:41:05 - mmengine - INFO - Epoch(train) [18][ 40/529] lr: 5.000000e-04 eta: 10:05:50 time: 0.355935 data_time: 0.034376 memory: 4565 loss: 0.001070 loss_kpt: 0.001070 acc_pose: 0.814965 2023/08/08 11:41:08 - mmengine - INFO - Epoch(train) [18][ 50/529] lr: 5.000000e-04 eta: 10:05:46 time: 0.356928 data_time: 0.034484 memory: 4565 loss: 0.001059 loss_kpt: 0.001059 acc_pose: 0.820112 2023/08/08 11:41:12 - mmengine - INFO - Epoch(train) [18][ 60/529] lr: 5.000000e-04 eta: 10:05:43 time: 0.355426 data_time: 0.030677 memory: 4565 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.805677 2023/08/08 11:41:15 - mmengine - INFO - Epoch(train) [18][ 70/529] lr: 5.000000e-04 eta: 10:05:39 time: 0.352808 data_time: 0.030597 memory: 4565 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.867411 2023/08/08 11:41:19 - mmengine - INFO - Epoch(train) [18][ 80/529] lr: 5.000000e-04 eta: 10:05:34 time: 0.353026 data_time: 0.030722 memory: 4565 loss: 0.001083 loss_kpt: 0.001083 acc_pose: 0.813625 2023/08/08 11:41:22 - mmengine - INFO - Epoch(train) [18][ 90/529] lr: 5.000000e-04 eta: 10:05:30 time: 0.352812 data_time: 0.030504 memory: 4565 loss: 0.001074 loss_kpt: 0.001074 acc_pose: 0.775790 2023/08/08 11:41:26 - mmengine - INFO - Epoch(train) [18][100/529] lr: 5.000000e-04 eta: 10:05:26 time: 0.352596 data_time: 0.030702 memory: 4565 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.806619 2023/08/08 11:41:29 - mmengine - INFO - Epoch(train) [18][110/529] lr: 5.000000e-04 eta: 10:05:22 time: 0.351246 data_time: 0.031066 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.863098 2023/08/08 11:41:33 - mmengine - INFO - Epoch(train) [18][120/529] lr: 5.000000e-04 eta: 10:05:20 time: 0.355331 data_time: 0.031618 memory: 4565 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.799988 2023/08/08 11:41:37 - mmengine - INFO - Epoch(train) [18][130/529] lr: 5.000000e-04 eta: 10:05:20 time: 0.363217 data_time: 0.032016 memory: 4565 loss: 0.001025 loss_kpt: 0.001025 acc_pose: 0.824312 2023/08/08 11:41:41 - mmengine - INFO - Epoch(train) [18][140/529] lr: 5.000000e-04 eta: 10:05:20 time: 0.369852 data_time: 0.035773 memory: 4565 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.800982 2023/08/08 11:41:44 - mmengine - INFO - Epoch(train) [18][150/529] lr: 5.000000e-04 eta: 10:05:15 time: 0.369391 data_time: 0.035445 memory: 4565 loss: 0.001083 loss_kpt: 0.001083 acc_pose: 0.740958 2023/08/08 11:41:48 - mmengine - INFO - Epoch(train) [18][160/529] lr: 5.000000e-04 eta: 10:05:12 time: 0.369067 data_time: 0.035196 memory: 4565 loss: 0.001096 loss_kpt: 0.001096 acc_pose: 0.749155 2023/08/08 11:41:52 - mmengine - INFO - Epoch(train) [18][170/529] lr: 5.000000e-04 eta: 10:05:09 time: 0.368051 data_time: 0.035017 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.831808 2023/08/08 11:41:55 - mmengine - INFO - Epoch(train) [18][180/529] lr: 5.000000e-04 eta: 10:05:06 time: 0.362428 data_time: 0.034755 memory: 4565 loss: 0.001099 loss_kpt: 0.001099 acc_pose: 0.873156 2023/08/08 11:41:59 - mmengine - INFO - Epoch(train) [18][190/529] lr: 5.000000e-04 eta: 10:05:02 time: 0.355641 data_time: 0.031145 memory: 4565 loss: 0.001072 loss_kpt: 0.001072 acc_pose: 0.880611 2023/08/08 11:42:02 - mmengine - INFO - Epoch(train) [18][200/529] lr: 5.000000e-04 eta: 10:04:57 time: 0.355278 data_time: 0.031226 memory: 4565 loss: 0.001055 loss_kpt: 0.001055 acc_pose: 0.797848 2023/08/08 11:42:06 - mmengine - INFO - Epoch(train) [18][210/529] lr: 5.000000e-04 eta: 10:04:53 time: 0.355208 data_time: 0.030907 memory: 4565 loss: 0.001097 loss_kpt: 0.001097 acc_pose: 0.700140 2023/08/08 11:42:09 - mmengine - INFO - Epoch(train) [18][220/529] lr: 5.000000e-04 eta: 10:04:49 time: 0.353103 data_time: 0.031099 memory: 4565 loss: 0.001094 loss_kpt: 0.001094 acc_pose: 0.811860 2023/08/08 11:42:13 - mmengine - INFO - Epoch(train) [18][230/529] lr: 5.000000e-04 eta: 10:04:46 time: 0.351664 data_time: 0.031093 memory: 4565 loss: 0.001097 loss_kpt: 0.001097 acc_pose: 0.744585 2023/08/08 11:42:16 - mmengine - INFO - Epoch(train) [18][240/529] lr: 5.000000e-04 eta: 10:04:43 time: 0.355333 data_time: 0.031381 memory: 4565 loss: 0.001104 loss_kpt: 0.001104 acc_pose: 0.721304 2023/08/08 11:42:20 - mmengine - INFO - Epoch(train) [18][250/529] lr: 5.000000e-04 eta: 10:04:39 time: 0.356178 data_time: 0.031533 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.854301 2023/08/08 11:42:23 - mmengine - INFO - Epoch(train) [18][260/529] lr: 5.000000e-04 eta: 10:04:35 time: 0.355353 data_time: 0.031510 memory: 4565 loss: 0.001066 loss_kpt: 0.001066 acc_pose: 0.828749 2023/08/08 11:42:27 - mmengine - INFO - Epoch(train) [18][270/529] lr: 5.000000e-04 eta: 10:04:33 time: 0.359120 data_time: 0.031003 memory: 4565 loss: 0.001071 loss_kpt: 0.001071 acc_pose: 0.800001 2023/08/08 11:42:31 - mmengine - INFO - Epoch(train) [18][280/529] lr: 5.000000e-04 eta: 10:04:31 time: 0.361372 data_time: 0.031037 memory: 4565 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.770061 2023/08/08 11:42:34 - mmengine - INFO - Epoch(train) [18][290/529] lr: 5.000000e-04 eta: 10:04:27 time: 0.358697 data_time: 0.030964 memory: 4565 loss: 0.001080 loss_kpt: 0.001080 acc_pose: 0.736833 2023/08/08 11:42:38 - mmengine - INFO - Epoch(train) [18][300/529] lr: 5.000000e-04 eta: 10:04:23 time: 0.359329 data_time: 0.030817 memory: 4565 loss: 0.001083 loss_kpt: 0.001083 acc_pose: 0.736005 2023/08/08 11:42:42 - mmengine - INFO - Epoch(train) [18][310/529] lr: 5.000000e-04 eta: 10:04:21 time: 0.363709 data_time: 0.030810 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.790435 2023/08/08 11:42:45 - mmengine - INFO - Epoch(train) [18][320/529] lr: 5.000000e-04 eta: 10:04:17 time: 0.359710 data_time: 0.030781 memory: 4565 loss: 0.001076 loss_kpt: 0.001076 acc_pose: 0.831940 2023/08/08 11:42:49 - mmengine - INFO - Epoch(train) [18][330/529] lr: 5.000000e-04 eta: 10:04:13 time: 0.357243 data_time: 0.030530 memory: 4565 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.818064 2023/08/08 11:42:52 - mmengine - INFO - Epoch(train) [18][340/529] lr: 5.000000e-04 eta: 10:04:10 time: 0.357909 data_time: 0.030794 memory: 4565 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.812380 2023/08/08 11:42:56 - mmengine - INFO - Epoch(train) [18][350/529] lr: 5.000000e-04 eta: 10:04:06 time: 0.356579 data_time: 0.030824 memory: 4565 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.836300 2023/08/08 11:42:59 - mmengine - INFO - Epoch(train) [18][360/529] lr: 5.000000e-04 eta: 10:04:02 time: 0.353083 data_time: 0.031585 memory: 4565 loss: 0.001030 loss_kpt: 0.001030 acc_pose: 0.787994 2023/08/08 11:43:03 - mmengine - INFO - Epoch(train) [18][370/529] lr: 5.000000e-04 eta: 10:03:58 time: 0.352791 data_time: 0.032254 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.845012 2023/08/08 11:43:06 - mmengine - INFO - Epoch(train) [18][380/529] lr: 5.000000e-04 eta: 10:03:54 time: 0.353305 data_time: 0.033056 memory: 4565 loss: 0.001041 loss_kpt: 0.001041 acc_pose: 0.847552 2023/08/08 11:43:10 - mmengine - INFO - Epoch(train) [18][390/529] lr: 5.000000e-04 eta: 10:03:52 time: 0.356019 data_time: 0.032704 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.801078 2023/08/08 11:43:14 - mmengine - INFO - Epoch(train) [18][400/529] lr: 5.000000e-04 eta: 10:03:49 time: 0.357868 data_time: 0.032568 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.776098 2023/08/08 11:43:17 - mmengine - INFO - Epoch(train) [18][410/529] lr: 5.000000e-04 eta: 10:03:46 time: 0.360384 data_time: 0.032040 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.855420 2023/08/08 11:43:21 - mmengine - INFO - Epoch(train) [18][420/529] lr: 5.000000e-04 eta: 10:03:44 time: 0.362994 data_time: 0.032249 memory: 4565 loss: 0.001025 loss_kpt: 0.001025 acc_pose: 0.812546 2023/08/08 11:43:24 - mmengine - INFO - Epoch(train) [18][430/529] lr: 5.000000e-04 eta: 10:03:39 time: 0.361960 data_time: 0.031526 memory: 4565 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.798285 2023/08/08 11:43:28 - mmengine - INFO - Epoch(train) [18][440/529] lr: 5.000000e-04 eta: 10:03:35 time: 0.357780 data_time: 0.031533 memory: 4565 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.755489 2023/08/08 11:43:31 - mmengine - INFO - Epoch(train) [18][450/529] lr: 5.000000e-04 eta: 10:03:31 time: 0.356379 data_time: 0.031607 memory: 4565 loss: 0.001065 loss_kpt: 0.001065 acc_pose: 0.709431 2023/08/08 11:43:35 - mmengine - INFO - Epoch(train) [18][460/529] lr: 5.000000e-04 eta: 10:03:29 time: 0.357077 data_time: 0.035173 memory: 4565 loss: 0.001079 loss_kpt: 0.001079 acc_pose: 0.800369 2023/08/08 11:43:39 - mmengine - INFO - Epoch(train) [18][470/529] lr: 5.000000e-04 eta: 10:03:25 time: 0.355312 data_time: 0.035295 memory: 4565 loss: 0.001106 loss_kpt: 0.001106 acc_pose: 0.814501 2023/08/08 11:43:42 - mmengine - INFO - Epoch(train) [18][480/529] lr: 5.000000e-04 eta: 10:03:22 time: 0.357259 data_time: 0.035634 memory: 4565 loss: 0.001119 loss_kpt: 0.001119 acc_pose: 0.759909 2023/08/08 11:43:46 - mmengine - INFO - Epoch(train) [18][490/529] lr: 5.000000e-04 eta: 10:03:18 time: 0.357912 data_time: 0.035594 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.792248 2023/08/08 11:43:50 - mmengine - INFO - Epoch(train) [18][500/529] lr: 5.000000e-04 eta: 10:03:16 time: 0.361436 data_time: 0.036757 memory: 4565 loss: 0.001083 loss_kpt: 0.001083 acc_pose: 0.760792 2023/08/08 11:43:53 - mmengine - INFO - Epoch(train) [18][510/529] lr: 5.000000e-04 eta: 10:03:13 time: 0.360701 data_time: 0.033347 memory: 4565 loss: 0.001068 loss_kpt: 0.001068 acc_pose: 0.849359 2023/08/08 11:43:57 - mmengine - INFO - Epoch(train) [18][520/529] lr: 5.000000e-04 eta: 10:03:10 time: 0.360255 data_time: 0.032652 memory: 4565 loss: 0.001057 loss_kpt: 0.001057 acc_pose: 0.843512 2023/08/08 11:44:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:44:04 - mmengine - INFO - Epoch(train) [19][ 10/529] lr: 5.000000e-04 eta: 10:03:09 time: 0.371052 data_time: 0.037042 memory: 4565 loss: 0.001092 loss_kpt: 0.001092 acc_pose: 0.797937 2023/08/08 11:44:08 - mmengine - INFO - Epoch(train) [19][ 20/529] lr: 5.000000e-04 eta: 10:03:07 time: 0.372129 data_time: 0.036086 memory: 4565 loss: 0.001105 loss_kpt: 0.001105 acc_pose: 0.728727 2023/08/08 11:44:11 - mmengine - INFO - Epoch(train) [19][ 30/529] lr: 5.000000e-04 eta: 10:03:04 time: 0.370520 data_time: 0.035682 memory: 4565 loss: 0.001105 loss_kpt: 0.001105 acc_pose: 0.873802 2023/08/08 11:44:15 - mmengine - INFO - Epoch(train) [19][ 40/529] lr: 5.000000e-04 eta: 10:03:01 time: 0.372308 data_time: 0.035419 memory: 4565 loss: 0.001125 loss_kpt: 0.001125 acc_pose: 0.773428 2023/08/08 11:44:19 - mmengine - INFO - Epoch(train) [19][ 50/529] lr: 5.000000e-04 eta: 10:03:00 time: 0.379134 data_time: 0.035815 memory: 4565 loss: 0.001106 loss_kpt: 0.001106 acc_pose: 0.721232 2023/08/08 11:44:23 - mmengine - INFO - Epoch(train) [19][ 60/529] lr: 5.000000e-04 eta: 10:02:58 time: 0.368861 data_time: 0.030912 memory: 4565 loss: 0.001118 loss_kpt: 0.001118 acc_pose: 0.859280 2023/08/08 11:44:26 - mmengine - INFO - Epoch(train) [19][ 70/529] lr: 5.000000e-04 eta: 10:02:55 time: 0.368081 data_time: 0.030852 memory: 4565 loss: 0.001105 loss_kpt: 0.001105 acc_pose: 0.790417 2023/08/08 11:44:30 - mmengine - INFO - Epoch(train) [19][ 80/529] lr: 5.000000e-04 eta: 10:02:52 time: 0.368223 data_time: 0.031011 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.751200 2023/08/08 11:44:33 - mmengine - INFO - Epoch(train) [19][ 90/529] lr: 5.000000e-04 eta: 10:02:49 time: 0.368063 data_time: 0.031044 memory: 4565 loss: 0.001087 loss_kpt: 0.001087 acc_pose: 0.882361 2023/08/08 11:44:37 - mmengine - INFO - Epoch(train) [19][100/529] lr: 5.000000e-04 eta: 10:02:46 time: 0.364075 data_time: 0.030862 memory: 4565 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.857108 2023/08/08 11:44:41 - mmengine - INFO - Epoch(train) [19][110/529] lr: 5.000000e-04 eta: 10:02:46 time: 0.367968 data_time: 0.034647 memory: 4565 loss: 0.001059 loss_kpt: 0.001059 acc_pose: 0.814009 2023/08/08 11:44:45 - mmengine - INFO - Epoch(train) [19][120/529] lr: 5.000000e-04 eta: 10:02:44 time: 0.369012 data_time: 0.035141 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.795629 2023/08/08 11:44:48 - mmengine - INFO - Epoch(train) [19][130/529] lr: 5.000000e-04 eta: 10:02:42 time: 0.370598 data_time: 0.035841 memory: 4565 loss: 0.001050 loss_kpt: 0.001050 acc_pose: 0.793101 2023/08/08 11:44:52 - mmengine - INFO - Epoch(train) [19][140/529] lr: 5.000000e-04 eta: 10:02:40 time: 0.372272 data_time: 0.036596 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.826477 2023/08/08 11:44:56 - mmengine - INFO - Epoch(train) [19][150/529] lr: 5.000000e-04 eta: 10:02:37 time: 0.372456 data_time: 0.037252 memory: 4565 loss: 0.001037 loss_kpt: 0.001037 acc_pose: 0.809763 2023/08/08 11:44:59 - mmengine - INFO - Epoch(train) [19][160/529] lr: 5.000000e-04 eta: 10:02:34 time: 0.368757 data_time: 0.034109 memory: 4565 loss: 0.001036 loss_kpt: 0.001036 acc_pose: 0.798179 2023/08/08 11:45:03 - mmengine - INFO - Epoch(train) [19][170/529] lr: 5.000000e-04 eta: 10:02:35 time: 0.373118 data_time: 0.034957 memory: 4565 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.734910 2023/08/08 11:45:07 - mmengine - INFO - Epoch(train) [19][180/529] lr: 5.000000e-04 eta: 10:02:33 time: 0.373241 data_time: 0.035060 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.776510 2023/08/08 11:45:11 - mmengine - INFO - Epoch(train) [19][190/529] lr: 5.000000e-04 eta: 10:02:30 time: 0.371605 data_time: 0.034420 memory: 4565 loss: 0.001066 loss_kpt: 0.001066 acc_pose: 0.811433 2023/08/08 11:45:14 - mmengine - INFO - Epoch(train) [19][200/529] lr: 5.000000e-04 eta: 10:02:27 time: 0.371636 data_time: 0.033865 memory: 4565 loss: 0.001058 loss_kpt: 0.001058 acc_pose: 0.754652 2023/08/08 11:45:18 - mmengine - INFO - Epoch(train) [19][210/529] lr: 5.000000e-04 eta: 10:02:24 time: 0.371076 data_time: 0.033247 memory: 4565 loss: 0.001074 loss_kpt: 0.001074 acc_pose: 0.836302 2023/08/08 11:45:22 - mmengine - INFO - Epoch(train) [19][220/529] lr: 5.000000e-04 eta: 10:02:23 time: 0.367477 data_time: 0.031690 memory: 4565 loss: 0.001077 loss_kpt: 0.001077 acc_pose: 0.818494 2023/08/08 11:45:25 - mmengine - INFO - Epoch(train) [19][230/529] lr: 5.000000e-04 eta: 10:02:20 time: 0.365590 data_time: 0.030748 memory: 4565 loss: 0.001085 loss_kpt: 0.001085 acc_pose: 0.820827 2023/08/08 11:45:29 - mmengine - INFO - Epoch(train) [19][240/529] lr: 5.000000e-04 eta: 10:02:17 time: 0.366923 data_time: 0.030748 memory: 4565 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.839059 2023/08/08 11:45:33 - mmengine - INFO - Epoch(train) [19][250/529] lr: 5.000000e-04 eta: 10:02:14 time: 0.366286 data_time: 0.030479 memory: 4565 loss: 0.001097 loss_kpt: 0.001097 acc_pose: 0.803905 2023/08/08 11:45:36 - mmengine - INFO - Epoch(train) [19][260/529] lr: 5.000000e-04 eta: 10:02:12 time: 0.366681 data_time: 0.030929 memory: 4565 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.805740 2023/08/08 11:45:40 - mmengine - INFO - Epoch(train) [19][270/529] lr: 5.000000e-04 eta: 10:02:09 time: 0.364451 data_time: 0.031048 memory: 4565 loss: 0.001101 loss_kpt: 0.001101 acc_pose: 0.822157 2023/08/08 11:45:44 - mmengine - INFO - Epoch(train) [19][280/529] lr: 5.000000e-04 eta: 10:02:06 time: 0.365460 data_time: 0.031122 memory: 4565 loss: 0.001085 loss_kpt: 0.001085 acc_pose: 0.817560 2023/08/08 11:45:47 - mmengine - INFO - Epoch(train) [19][290/529] lr: 5.000000e-04 eta: 10:02:04 time: 0.365434 data_time: 0.031302 memory: 4565 loss: 0.001074 loss_kpt: 0.001074 acc_pose: 0.778011 2023/08/08 11:45:51 - mmengine - INFO - Epoch(train) [19][300/529] lr: 5.000000e-04 eta: 10:02:03 time: 0.368916 data_time: 0.031689 memory: 4565 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.838418 2023/08/08 11:45:55 - mmengine - INFO - Epoch(train) [19][310/529] lr: 5.000000e-04 eta: 10:02:05 time: 0.378189 data_time: 0.035831 memory: 4565 loss: 0.001081 loss_kpt: 0.001081 acc_pose: 0.780970 2023/08/08 11:45:59 - mmengine - INFO - Epoch(train) [19][320/529] lr: 5.000000e-04 eta: 10:02:05 time: 0.383530 data_time: 0.036733 memory: 4565 loss: 0.001065 loss_kpt: 0.001065 acc_pose: 0.855885 2023/08/08 11:46:03 - mmengine - INFO - Epoch(train) [19][330/529] lr: 5.000000e-04 eta: 10:02:03 time: 0.384942 data_time: 0.037410 memory: 4565 loss: 0.001071 loss_kpt: 0.001071 acc_pose: 0.772160 2023/08/08 11:46:06 - mmengine - INFO - Epoch(train) [19][340/529] lr: 5.000000e-04 eta: 10:02:00 time: 0.384607 data_time: 0.037599 memory: 4565 loss: 0.001057 loss_kpt: 0.001057 acc_pose: 0.825389 2023/08/08 11:46:10 - mmengine - INFO - Epoch(train) [19][350/529] lr: 5.000000e-04 eta: 10:01:58 time: 0.381846 data_time: 0.037478 memory: 4565 loss: 0.001068 loss_kpt: 0.001068 acc_pose: 0.807261 2023/08/08 11:46:14 - mmengine - INFO - Epoch(train) [19][360/529] lr: 5.000000e-04 eta: 10:01:56 time: 0.374205 data_time: 0.032965 memory: 4565 loss: 0.001062 loss_kpt: 0.001062 acc_pose: 0.853077 2023/08/08 11:46:18 - mmengine - INFO - Epoch(train) [19][370/529] lr: 5.000000e-04 eta: 10:01:53 time: 0.369168 data_time: 0.032059 memory: 4565 loss: 0.001039 loss_kpt: 0.001039 acc_pose: 0.818137 2023/08/08 11:46:21 - mmengine - INFO - Epoch(train) [19][380/529] lr: 5.000000e-04 eta: 10:01:50 time: 0.366937 data_time: 0.031327 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.807219 2023/08/08 11:46:25 - mmengine - INFO - Epoch(train) [19][390/529] lr: 5.000000e-04 eta: 10:01:49 time: 0.369508 data_time: 0.030898 memory: 4565 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.786748 2023/08/08 11:46:29 - mmengine - INFO - Epoch(train) [19][400/529] lr: 5.000000e-04 eta: 10:01:47 time: 0.370642 data_time: 0.031006 memory: 4565 loss: 0.001045 loss_kpt: 0.001045 acc_pose: 0.884369 2023/08/08 11:46:32 - mmengine - INFO - Epoch(train) [19][410/529] lr: 5.000000e-04 eta: 10:01:44 time: 0.368886 data_time: 0.030964 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.821858 2023/08/08 11:46:36 - mmengine - INFO - Epoch(train) [19][420/529] lr: 5.000000e-04 eta: 10:01:43 time: 0.371356 data_time: 0.031011 memory: 4565 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.814201 2023/08/08 11:46:40 - mmengine - INFO - Epoch(train) [19][430/529] lr: 5.000000e-04 eta: 10:01:43 time: 0.377341 data_time: 0.031109 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.826423 2023/08/08 11:46:44 - mmengine - INFO - Epoch(train) [19][440/529] lr: 5.000000e-04 eta: 10:01:43 time: 0.380351 data_time: 0.031272 memory: 4565 loss: 0.001057 loss_kpt: 0.001057 acc_pose: 0.746007 2023/08/08 11:46:48 - mmengine - INFO - Epoch(train) [19][450/529] lr: 5.000000e-04 eta: 10:01:44 time: 0.385652 data_time: 0.031289 memory: 4565 loss: 0.001045 loss_kpt: 0.001045 acc_pose: 0.856263 2023/08/08 11:46:52 - mmengine - INFO - Epoch(train) [19][460/529] lr: 5.000000e-04 eta: 10:01:45 time: 0.392900 data_time: 0.032001 memory: 4565 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.864188 2023/08/08 11:46:56 - mmengine - INFO - Epoch(train) [19][470/529] lr: 5.000000e-04 eta: 10:01:43 time: 0.393037 data_time: 0.032487 memory: 4565 loss: 0.001063 loss_kpt: 0.001063 acc_pose: 0.814275 2023/08/08 11:46:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:47:00 - mmengine - INFO - Epoch(train) [19][480/529] lr: 5.000000e-04 eta: 10:01:41 time: 0.389636 data_time: 0.033397 memory: 4565 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.822336 2023/08/08 11:47:03 - mmengine - INFO - Epoch(train) [19][490/529] lr: 5.000000e-04 eta: 10:01:41 time: 0.388609 data_time: 0.034061 memory: 4565 loss: 0.001025 loss_kpt: 0.001025 acc_pose: 0.766078 2023/08/08 11:47:07 - mmengine - INFO - Epoch(train) [19][500/529] lr: 5.000000e-04 eta: 10:01:40 time: 0.385737 data_time: 0.035255 memory: 4565 loss: 0.001036 loss_kpt: 0.001036 acc_pose: 0.809302 2023/08/08 11:47:11 - mmengine - INFO - Epoch(train) [19][510/529] lr: 5.000000e-04 eta: 10:01:40 time: 0.384363 data_time: 0.039077 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.793294 2023/08/08 11:47:15 - mmengine - INFO - Epoch(train) [19][520/529] lr: 5.000000e-04 eta: 10:01:39 time: 0.384867 data_time: 0.039276 memory: 4565 loss: 0.001036 loss_kpt: 0.001036 acc_pose: 0.781928 2023/08/08 11:47:18 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:47:22 - mmengine - INFO - Epoch(train) [20][ 10/529] lr: 5.000000e-04 eta: 10:01:36 time: 0.382304 data_time: 0.042672 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.874465 2023/08/08 11:47:26 - mmengine - INFO - Epoch(train) [20][ 20/529] lr: 5.000000e-04 eta: 10:01:32 time: 0.375511 data_time: 0.041758 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.811695 2023/08/08 11:47:29 - mmengine - INFO - Epoch(train) [20][ 30/529] lr: 5.000000e-04 eta: 10:01:30 time: 0.371113 data_time: 0.037596 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.824232 2023/08/08 11:47:33 - mmengine - INFO - Epoch(train) [20][ 40/529] lr: 5.000000e-04 eta: 10:01:26 time: 0.366271 data_time: 0.037256 memory: 4565 loss: 0.001038 loss_kpt: 0.001038 acc_pose: 0.795892 2023/08/08 11:47:37 - mmengine - INFO - Epoch(train) [20][ 50/529] lr: 5.000000e-04 eta: 10:01:23 time: 0.363486 data_time: 0.036988 memory: 4565 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.838870 2023/08/08 11:47:40 - mmengine - INFO - Epoch(train) [20][ 60/529] lr: 5.000000e-04 eta: 10:01:20 time: 0.360360 data_time: 0.032705 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.830805 2023/08/08 11:47:44 - mmengine - INFO - Epoch(train) [20][ 70/529] lr: 5.000000e-04 eta: 10:01:16 time: 0.360883 data_time: 0.032477 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.878857 2023/08/08 11:47:47 - mmengine - INFO - Epoch(train) [20][ 80/529] lr: 5.000000e-04 eta: 10:01:11 time: 0.355794 data_time: 0.032099 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.771436 2023/08/08 11:47:51 - mmengine - INFO - Epoch(train) [20][ 90/529] lr: 5.000000e-04 eta: 10:01:07 time: 0.354330 data_time: 0.032216 memory: 4565 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.832310 2023/08/08 11:47:54 - mmengine - INFO - Epoch(train) [20][100/529] lr: 5.000000e-04 eta: 10:01:02 time: 0.352736 data_time: 0.032918 memory: 4565 loss: 0.001003 loss_kpt: 0.001003 acc_pose: 0.844809 2023/08/08 11:47:58 - mmengine - INFO - Epoch(train) [20][110/529] lr: 5.000000e-04 eta: 10:00:58 time: 0.349630 data_time: 0.032401 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.829655 2023/08/08 11:48:01 - mmengine - INFO - Epoch(train) [20][120/529] lr: 5.000000e-04 eta: 10:00:54 time: 0.350215 data_time: 0.032382 memory: 4565 loss: 0.001003 loss_kpt: 0.001003 acc_pose: 0.808350 2023/08/08 11:48:05 - mmengine - INFO - Epoch(train) [20][130/529] lr: 5.000000e-04 eta: 10:00:53 time: 0.357321 data_time: 0.032706 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.833131 2023/08/08 11:48:09 - mmengine - INFO - Epoch(train) [20][140/529] lr: 5.000000e-04 eta: 10:00:50 time: 0.359546 data_time: 0.032560 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.834121 2023/08/08 11:48:12 - mmengine - INFO - Epoch(train) [20][150/529] lr: 5.000000e-04 eta: 10:00:47 time: 0.361478 data_time: 0.032033 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.846119 2023/08/08 11:48:16 - mmengine - INFO - Epoch(train) [20][160/529] lr: 5.000000e-04 eta: 10:00:47 time: 0.370387 data_time: 0.035669 memory: 4565 loss: 0.001063 loss_kpt: 0.001063 acc_pose: 0.839531 2023/08/08 11:48:20 - mmengine - INFO - Epoch(train) [20][170/529] lr: 5.000000e-04 eta: 10:00:43 time: 0.371379 data_time: 0.035606 memory: 4565 loss: 0.001066 loss_kpt: 0.001066 acc_pose: 0.851051 2023/08/08 11:48:23 - mmengine - INFO - Epoch(train) [20][180/529] lr: 5.000000e-04 eta: 10:00:40 time: 0.365536 data_time: 0.035466 memory: 4565 loss: 0.001069 loss_kpt: 0.001069 acc_pose: 0.763054 2023/08/08 11:48:27 - mmengine - INFO - Epoch(train) [20][190/529] lr: 5.000000e-04 eta: 10:00:35 time: 0.363411 data_time: 0.035541 memory: 4565 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.725177 2023/08/08 11:48:30 - mmengine - INFO - Epoch(train) [20][200/529] lr: 5.000000e-04 eta: 10:00:31 time: 0.362179 data_time: 0.035814 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.867310 2023/08/08 11:48:34 - mmengine - INFO - Epoch(train) [20][210/529] lr: 5.000000e-04 eta: 10:00:27 time: 0.352851 data_time: 0.032750 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.841339 2023/08/08 11:48:37 - mmengine - INFO - Epoch(train) [20][220/529] lr: 5.000000e-04 eta: 10:00:23 time: 0.351137 data_time: 0.033036 memory: 4565 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.833594 2023/08/08 11:48:41 - mmengine - INFO - Epoch(train) [20][230/529] lr: 5.000000e-04 eta: 10:00:19 time: 0.350935 data_time: 0.033018 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.791853 2023/08/08 11:48:45 - mmengine - INFO - Epoch(train) [20][240/529] lr: 5.000000e-04 eta: 10:00:16 time: 0.353972 data_time: 0.033183 memory: 4565 loss: 0.001013 loss_kpt: 0.001013 acc_pose: 0.901642 2023/08/08 11:48:48 - mmengine - INFO - Epoch(train) [20][250/529] lr: 5.000000e-04 eta: 10:00:11 time: 0.352723 data_time: 0.032669 memory: 4565 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.772528 2023/08/08 11:48:51 - mmengine - INFO - Epoch(train) [20][260/529] lr: 5.000000e-04 eta: 10:00:06 time: 0.351965 data_time: 0.032060 memory: 4565 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.839152 2023/08/08 11:48:55 - mmengine - INFO - Epoch(train) [20][270/529] lr: 5.000000e-04 eta: 10:00:02 time: 0.350883 data_time: 0.031635 memory: 4565 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.815297 2023/08/08 11:48:58 - mmengine - INFO - Epoch(train) [20][280/529] lr: 5.000000e-04 eta: 9:59:58 time: 0.351441 data_time: 0.031592 memory: 4565 loss: 0.001054 loss_kpt: 0.001054 acc_pose: 0.844221 2023/08/08 11:49:02 - mmengine - INFO - Epoch(train) [20][290/529] lr: 5.000000e-04 eta: 9:59:53 time: 0.347974 data_time: 0.032195 memory: 4565 loss: 0.001055 loss_kpt: 0.001055 acc_pose: 0.842024 2023/08/08 11:49:06 - mmengine - INFO - Epoch(train) [20][300/529] lr: 5.000000e-04 eta: 9:59:51 time: 0.352326 data_time: 0.032264 memory: 4565 loss: 0.001063 loss_kpt: 0.001063 acc_pose: 0.780889 2023/08/08 11:49:09 - mmengine - INFO - Epoch(train) [20][310/529] lr: 5.000000e-04 eta: 9:59:47 time: 0.355196 data_time: 0.032349 memory: 4565 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.855066 2023/08/08 11:49:13 - mmengine - INFO - Epoch(train) [20][320/529] lr: 5.000000e-04 eta: 9:59:45 time: 0.359442 data_time: 0.035905 memory: 4565 loss: 0.001058 loss_kpt: 0.001058 acc_pose: 0.788451 2023/08/08 11:49:16 - mmengine - INFO - Epoch(train) [20][330/529] lr: 5.000000e-04 eta: 9:59:41 time: 0.358652 data_time: 0.035719 memory: 4565 loss: 0.001052 loss_kpt: 0.001052 acc_pose: 0.801775 2023/08/08 11:49:20 - mmengine - INFO - Epoch(train) [20][340/529] lr: 5.000000e-04 eta: 9:59:37 time: 0.361026 data_time: 0.035264 memory: 4565 loss: 0.001055 loss_kpt: 0.001055 acc_pose: 0.802422 2023/08/08 11:49:24 - mmengine - INFO - Epoch(train) [20][350/529] lr: 5.000000e-04 eta: 9:59:35 time: 0.360817 data_time: 0.035752 memory: 4565 loss: 0.001038 loss_kpt: 0.001038 acc_pose: 0.847439 2023/08/08 11:49:27 - mmengine - INFO - Epoch(train) [20][360/529] lr: 5.000000e-04 eta: 9:59:31 time: 0.361324 data_time: 0.035635 memory: 4565 loss: 0.001038 loss_kpt: 0.001038 acc_pose: 0.876298 2023/08/08 11:49:31 - mmengine - INFO - Epoch(train) [20][370/529] lr: 5.000000e-04 eta: 9:59:27 time: 0.357409 data_time: 0.032075 memory: 4565 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.765329 2023/08/08 11:49:34 - mmengine - INFO - Epoch(train) [20][380/529] lr: 5.000000e-04 eta: 9:59:22 time: 0.356580 data_time: 0.032130 memory: 4565 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.805296 2023/08/08 11:49:38 - mmengine - INFO - Epoch(train) [20][390/529] lr: 5.000000e-04 eta: 9:59:18 time: 0.354944 data_time: 0.031827 memory: 4565 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.863400 2023/08/08 11:49:41 - mmengine - INFO - Epoch(train) [20][400/529] lr: 5.000000e-04 eta: 9:59:14 time: 0.351805 data_time: 0.031398 memory: 4565 loss: 0.001083 loss_kpt: 0.001083 acc_pose: 0.774616 2023/08/08 11:49:45 - mmengine - INFO - Epoch(train) [20][410/529] lr: 5.000000e-04 eta: 9:59:10 time: 0.350471 data_time: 0.031717 memory: 4565 loss: 0.001075 loss_kpt: 0.001075 acc_pose: 0.818177 2023/08/08 11:49:48 - mmengine - INFO - Epoch(train) [20][420/529] lr: 5.000000e-04 eta: 9:59:06 time: 0.351809 data_time: 0.031998 memory: 4565 loss: 0.001050 loss_kpt: 0.001050 acc_pose: 0.850510 2023/08/08 11:49:52 - mmengine - INFO - Epoch(train) [20][430/529] lr: 5.000000e-04 eta: 9:59:04 time: 0.356017 data_time: 0.031971 memory: 4565 loss: 0.001027 loss_kpt: 0.001027 acc_pose: 0.858198 2023/08/08 11:49:56 - mmengine - INFO - Epoch(train) [20][440/529] lr: 5.000000e-04 eta: 9:59:00 time: 0.356785 data_time: 0.031866 memory: 4565 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.857172 2023/08/08 11:49:59 - mmengine - INFO - Epoch(train) [20][450/529] lr: 5.000000e-04 eta: 9:58:57 time: 0.358424 data_time: 0.031860 memory: 4565 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.836799 2023/08/08 11:50:03 - mmengine - INFO - Epoch(train) [20][460/529] lr: 5.000000e-04 eta: 9:58:53 time: 0.359086 data_time: 0.031698 memory: 4565 loss: 0.001039 loss_kpt: 0.001039 acc_pose: 0.868573 2023/08/08 11:50:06 - mmengine - INFO - Epoch(train) [20][470/529] lr: 5.000000e-04 eta: 9:58:50 time: 0.360109 data_time: 0.032302 memory: 4565 loss: 0.001062 loss_kpt: 0.001062 acc_pose: 0.720162 2023/08/08 11:50:10 - mmengine - INFO - Epoch(train) [20][480/529] lr: 5.000000e-04 eta: 9:58:48 time: 0.361766 data_time: 0.032918 memory: 4565 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.805588 2023/08/08 11:50:14 - mmengine - INFO - Epoch(train) [20][490/529] lr: 5.000000e-04 eta: 9:58:44 time: 0.361901 data_time: 0.032909 memory: 4565 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.752555 2023/08/08 11:50:17 - mmengine - INFO - Epoch(train) [20][500/529] lr: 5.000000e-04 eta: 9:58:42 time: 0.364063 data_time: 0.033362 memory: 4565 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.750927 2023/08/08 11:50:21 - mmengine - INFO - Epoch(train) [20][510/529] lr: 5.000000e-04 eta: 9:58:38 time: 0.363693 data_time: 0.033771 memory: 4565 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.778632 2023/08/08 11:50:24 - mmengine - INFO - Epoch(train) [20][520/529] lr: 5.000000e-04 eta: 9:58:34 time: 0.362117 data_time: 0.034115 memory: 4565 loss: 0.001064 loss_kpt: 0.001064 acc_pose: 0.759840 2023/08/08 11:50:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:50:28 - mmengine - INFO - Saving checkpoint at 20 epochs 2023/08/08 11:50:34 - mmengine - INFO - Epoch(val) [20][ 10/127] eta: 0:00:25 time: 0.198304 data_time: 0.012899 memory: 4565 2023/08/08 11:50:36 - mmengine - INFO - Epoch(val) [20][ 20/127] eta: 0:00:22 time: 0.198846 data_time: 0.013078 memory: 1634 2023/08/08 11:50:38 - mmengine - INFO - Epoch(val) [20][ 30/127] eta: 0:00:19 time: 0.199136 data_time: 0.013255 memory: 1634 2023/08/08 11:50:40 - mmengine - INFO - Epoch(val) [20][ 40/127] eta: 0:00:17 time: 0.199455 data_time: 0.013468 memory: 1634 2023/08/08 11:50:42 - mmengine - INFO - Epoch(val) [20][ 50/127] eta: 0:00:15 time: 0.201743 data_time: 0.013908 memory: 1634 2023/08/08 11:50:44 - mmengine - INFO - Epoch(val) [20][ 60/127] eta: 0:00:13 time: 0.198479 data_time: 0.011814 memory: 1634 2023/08/08 11:50:46 - mmengine - INFO - Epoch(val) [20][ 70/127] eta: 0:00:11 time: 0.198297 data_time: 0.011907 memory: 1634 2023/08/08 11:50:48 - mmengine - INFO - Epoch(val) [20][ 80/127] eta: 0:00:09 time: 0.198469 data_time: 0.012083 memory: 1634 2023/08/08 11:50:50 - mmengine - INFO - Epoch(val) [20][ 90/127] eta: 0:00:07 time: 0.198700 data_time: 0.012233 memory: 1634 2023/08/08 11:50:52 - mmengine - INFO - Epoch(val) [20][100/127] eta: 0:00:05 time: 0.198969 data_time: 0.012264 memory: 1634 2023/08/08 11:50:54 - mmengine - INFO - Epoch(val) [20][110/127] eta: 0:00:03 time: 0.199263 data_time: 0.012324 memory: 1634 2023/08/08 11:50:56 - mmengine - INFO - Epoch(val) [20][120/127] eta: 0:00:01 time: 0.199327 data_time: 0.012374 memory: 1634 2023/08/08 11:50:57 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 11:50:57 - mmengine - INFO - Evaluating AUC... 2023/08/08 11:50:58 - mmengine - INFO - Evaluating EPE... 2023/08/08 11:50:58 - mmengine - INFO - Epoch(val) [20][127/127] PCK: 0.978659 AUC: 0.657266 EPE: 12.623889 data_time: 0.012856 time: 0.198615 2023/08/08 11:50:58 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_10.pth is removed 2023/08/08 11:51:00 - mmengine - INFO - The best checkpoint with 0.6573 AUC at 20 epoch is saved to best_AUC_epoch_20.pth. 2023/08/08 11:51:08 - mmengine - INFO - Epoch(train) [21][ 10/529] lr: 5.000000e-04 eta: 9:58:29 time: 0.360797 data_time: 0.037425 memory: 4565 loss: 0.001062 loss_kpt: 0.001062 acc_pose: 0.800390 2023/08/08 11:51:11 - mmengine - INFO - Epoch(train) [21][ 20/529] lr: 5.000000e-04 eta: 9:58:25 time: 0.356891 data_time: 0.037141 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.779593 2023/08/08 11:51:15 - mmengine - INFO - Epoch(train) [21][ 30/529] lr: 5.000000e-04 eta: 9:58:21 time: 0.356793 data_time: 0.037196 memory: 4565 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.750176 2023/08/08 11:51:18 - mmengine - INFO - Epoch(train) [21][ 40/529] lr: 5.000000e-04 eta: 9:58:17 time: 0.356665 data_time: 0.036407 memory: 4565 loss: 0.001067 loss_kpt: 0.001067 acc_pose: 0.825142 2023/08/08 11:51:22 - mmengine - INFO - Epoch(train) [21][ 50/529] lr: 5.000000e-04 eta: 9:58:13 time: 0.359872 data_time: 0.037545 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.814043 2023/08/08 11:51:25 - mmengine - INFO - Epoch(train) [21][ 60/529] lr: 5.000000e-04 eta: 9:58:10 time: 0.356264 data_time: 0.036686 memory: 4565 loss: 0.001045 loss_kpt: 0.001045 acc_pose: 0.813905 2023/08/08 11:51:29 - mmengine - INFO - Epoch(train) [21][ 70/529] lr: 5.000000e-04 eta: 9:58:06 time: 0.355497 data_time: 0.036598 memory: 4565 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.807542 2023/08/08 11:51:33 - mmengine - INFO - Epoch(train) [21][ 80/529] lr: 5.000000e-04 eta: 9:58:02 time: 0.355547 data_time: 0.036489 memory: 4565 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.765627 2023/08/08 11:51:36 - mmengine - INFO - Epoch(train) [21][ 90/529] lr: 5.000000e-04 eta: 9:58:01 time: 0.361059 data_time: 0.036180 memory: 4565 loss: 0.001046 loss_kpt: 0.001046 acc_pose: 0.742573 2023/08/08 11:51:40 - mmengine - INFO - Epoch(train) [21][100/529] lr: 5.000000e-04 eta: 9:57:57 time: 0.360605 data_time: 0.035903 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.816306 2023/08/08 11:51:43 - mmengine - INFO - Epoch(train) [21][110/529] lr: 5.000000e-04 eta: 9:57:52 time: 0.356269 data_time: 0.031818 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.812703 2023/08/08 11:51:47 - mmengine - INFO - Epoch(train) [21][120/529] lr: 5.000000e-04 eta: 9:57:48 time: 0.355918 data_time: 0.031786 memory: 4565 loss: 0.001045 loss_kpt: 0.001045 acc_pose: 0.863550 2023/08/08 11:51:50 - mmengine - INFO - Epoch(train) [21][130/529] lr: 5.000000e-04 eta: 9:57:44 time: 0.356231 data_time: 0.031529 memory: 4565 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.838722 2023/08/08 11:51:54 - mmengine - INFO - Epoch(train) [21][140/529] lr: 5.000000e-04 eta: 9:57:41 time: 0.353976 data_time: 0.031362 memory: 4565 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.747623 2023/08/08 11:51:58 - mmengine - INFO - Epoch(train) [21][150/529] lr: 5.000000e-04 eta: 9:57:39 time: 0.357414 data_time: 0.031766 memory: 4565 loss: 0.001039 loss_kpt: 0.001039 acc_pose: 0.788355 2023/08/08 11:52:01 - mmengine - INFO - Epoch(train) [21][160/529] lr: 5.000000e-04 eta: 9:57:35 time: 0.360047 data_time: 0.032453 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.837028 2023/08/08 11:52:05 - mmengine - INFO - Epoch(train) [21][170/529] lr: 5.000000e-04 eta: 9:57:32 time: 0.362509 data_time: 0.032363 memory: 4565 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.831059 2023/08/08 11:52:09 - mmengine - INFO - Epoch(train) [21][180/529] lr: 5.000000e-04 eta: 9:57:30 time: 0.366588 data_time: 0.035890 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.756877 2023/08/08 11:52:12 - mmengine - INFO - Epoch(train) [21][190/529] lr: 5.000000e-04 eta: 9:57:28 time: 0.367514 data_time: 0.035891 memory: 4565 loss: 0.001037 loss_kpt: 0.001037 acc_pose: 0.799053 2023/08/08 11:52:16 - mmengine - INFO - Epoch(train) [21][200/529] lr: 5.000000e-04 eta: 9:57:24 time: 0.364004 data_time: 0.035604 memory: 4565 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.887657 2023/08/08 11:52:19 - mmengine - INFO - Epoch(train) [21][210/529] lr: 5.000000e-04 eta: 9:57:21 time: 0.363667 data_time: 0.035287 memory: 4565 loss: 0.001037 loss_kpt: 0.001037 acc_pose: 0.825299 2023/08/08 11:52:23 - mmengine - INFO - Epoch(train) [21][220/529] lr: 5.000000e-04 eta: 9:57:20 time: 0.368884 data_time: 0.035668 memory: 4565 loss: 0.001041 loss_kpt: 0.001041 acc_pose: 0.827330 2023/08/08 11:52:27 - mmengine - INFO - Epoch(train) [21][230/529] lr: 5.000000e-04 eta: 9:57:16 time: 0.363812 data_time: 0.032738 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.800461 2023/08/08 11:52:30 - mmengine - INFO - Epoch(train) [21][240/529] lr: 5.000000e-04 eta: 9:57:11 time: 0.358519 data_time: 0.032821 memory: 4565 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.770974 2023/08/08 11:52:34 - mmengine - INFO - Epoch(train) [21][250/529] lr: 5.000000e-04 eta: 9:57:06 time: 0.357666 data_time: 0.032701 memory: 4565 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.843476 2023/08/08 11:52:37 - mmengine - INFO - Epoch(train) [21][260/529] lr: 5.000000e-04 eta: 9:57:03 time: 0.358442 data_time: 0.036140 memory: 4565 loss: 0.001063 loss_kpt: 0.001063 acc_pose: 0.812788 2023/08/08 11:52:41 - mmengine - INFO - Epoch(train) [21][270/529] lr: 5.000000e-04 eta: 9:57:01 time: 0.355153 data_time: 0.036249 memory: 4565 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.867569 2023/08/08 11:52:45 - mmengine - INFO - Epoch(train) [21][280/529] lr: 5.000000e-04 eta: 9:56:57 time: 0.356186 data_time: 0.036440 memory: 4565 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.814405 2023/08/08 11:52:48 - mmengine - INFO - Epoch(train) [21][290/529] lr: 5.000000e-04 eta: 9:56:53 time: 0.356455 data_time: 0.037021 memory: 4565 loss: 0.001063 loss_kpt: 0.001063 acc_pose: 0.852107 2023/08/08 11:52:52 - mmengine - INFO - Epoch(train) [21][300/529] lr: 5.000000e-04 eta: 9:56:49 time: 0.357536 data_time: 0.037569 memory: 4565 loss: 0.001050 loss_kpt: 0.001050 acc_pose: 0.733515 2023/08/08 11:52:56 - mmengine - INFO - Epoch(train) [21][310/529] lr: 5.000000e-04 eta: 9:56:48 time: 0.362907 data_time: 0.034074 memory: 4565 loss: 0.001057 loss_kpt: 0.001057 acc_pose: 0.746817 2023/08/08 11:52:59 - mmengine - INFO - Epoch(train) [21][320/529] lr: 5.000000e-04 eta: 9:56:44 time: 0.358964 data_time: 0.033590 memory: 4565 loss: 0.001052 loss_kpt: 0.001052 acc_pose: 0.763820 2023/08/08 11:53:03 - mmengine - INFO - Epoch(train) [21][330/529] lr: 5.000000e-04 eta: 9:56:40 time: 0.359267 data_time: 0.033020 memory: 4565 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.795468 2023/08/08 11:53:06 - mmengine - INFO - Epoch(train) [21][340/529] lr: 5.000000e-04 eta: 9:56:36 time: 0.360906 data_time: 0.034031 memory: 4565 loss: 0.001062 loss_kpt: 0.001062 acc_pose: 0.844164 2023/08/08 11:53:10 - mmengine - INFO - Epoch(train) [21][350/529] lr: 5.000000e-04 eta: 9:56:32 time: 0.360946 data_time: 0.033578 memory: 4565 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.904907 2023/08/08 11:53:13 - mmengine - INFO - Epoch(train) [21][360/529] lr: 5.000000e-04 eta: 9:56:28 time: 0.353557 data_time: 0.033304 memory: 4565 loss: 0.001038 loss_kpt: 0.001038 acc_pose: 0.790673 2023/08/08 11:53:17 - mmengine - INFO - Epoch(train) [21][370/529] lr: 5.000000e-04 eta: 9:56:24 time: 0.353578 data_time: 0.033279 memory: 4565 loss: 0.001036 loss_kpt: 0.001036 acc_pose: 0.754714 2023/08/08 11:53:20 - mmengine - INFO - Epoch(train) [21][380/529] lr: 5.000000e-04 eta: 9:56:20 time: 0.352811 data_time: 0.032851 memory: 4565 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.831816 2023/08/08 11:53:24 - mmengine - INFO - Epoch(train) [21][390/529] lr: 5.000000e-04 eta: 9:56:17 time: 0.354348 data_time: 0.031680 memory: 4565 loss: 0.001012 loss_kpt: 0.001012 acc_pose: 0.862498 2023/08/08 11:53:28 - mmengine - INFO - Epoch(train) [21][400/529] lr: 5.000000e-04 eta: 9:56:14 time: 0.356528 data_time: 0.031931 memory: 4565 loss: 0.001030 loss_kpt: 0.001030 acc_pose: 0.863533 2023/08/08 11:53:31 - mmengine - INFO - Epoch(train) [21][410/529] lr: 5.000000e-04 eta: 9:56:10 time: 0.357414 data_time: 0.032145 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.809220 2023/08/08 11:53:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:53:35 - mmengine - INFO - Epoch(train) [21][420/529] lr: 5.000000e-04 eta: 9:56:07 time: 0.358922 data_time: 0.032279 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.805241 2023/08/08 11:53:38 - mmengine - INFO - Epoch(train) [21][430/529] lr: 5.000000e-04 eta: 9:56:04 time: 0.360025 data_time: 0.032413 memory: 4565 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.870939 2023/08/08 11:53:42 - mmengine - INFO - Epoch(train) [21][440/529] lr: 5.000000e-04 eta: 9:56:00 time: 0.359417 data_time: 0.031999 memory: 4565 loss: 0.001079 loss_kpt: 0.001079 acc_pose: 0.748187 2023/08/08 11:53:46 - mmengine - INFO - Epoch(train) [21][450/529] lr: 5.000000e-04 eta: 9:56:00 time: 0.366320 data_time: 0.035669 memory: 4565 loss: 0.001077 loss_kpt: 0.001077 acc_pose: 0.814037 2023/08/08 11:53:50 - mmengine - INFO - Epoch(train) [21][460/529] lr: 5.000000e-04 eta: 9:55:58 time: 0.368426 data_time: 0.036325 memory: 4565 loss: 0.001098 loss_kpt: 0.001098 acc_pose: 0.765925 2023/08/08 11:53:53 - mmengine - INFO - Epoch(train) [21][470/529] lr: 5.000000e-04 eta: 9:55:55 time: 0.371278 data_time: 0.036460 memory: 4565 loss: 0.001104 loss_kpt: 0.001104 acc_pose: 0.845515 2023/08/08 11:53:57 - mmengine - INFO - Epoch(train) [21][480/529] lr: 5.000000e-04 eta: 9:55:55 time: 0.377126 data_time: 0.037389 memory: 4565 loss: 0.001101 loss_kpt: 0.001101 acc_pose: 0.835102 2023/08/08 11:54:01 - mmengine - INFO - Epoch(train) [21][490/529] lr: 5.000000e-04 eta: 9:55:51 time: 0.375705 data_time: 0.037717 memory: 4565 loss: 0.001082 loss_kpt: 0.001082 acc_pose: 0.846319 2023/08/08 11:54:04 - mmengine - INFO - Epoch(train) [21][500/529] lr: 5.000000e-04 eta: 9:55:47 time: 0.368078 data_time: 0.033936 memory: 4565 loss: 0.001076 loss_kpt: 0.001076 acc_pose: 0.758243 2023/08/08 11:54:08 - mmengine - INFO - Epoch(train) [21][510/529] lr: 5.000000e-04 eta: 9:55:45 time: 0.368644 data_time: 0.033575 memory: 4565 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.838063 2023/08/08 11:54:12 - mmengine - INFO - Epoch(train) [21][520/529] lr: 5.000000e-04 eta: 9:55:42 time: 0.367930 data_time: 0.033375 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.840402 2023/08/08 11:54:15 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:54:19 - mmengine - INFO - Epoch(train) [22][ 10/529] lr: 5.000000e-04 eta: 9:55:37 time: 0.366058 data_time: 0.036067 memory: 4565 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.761032 2023/08/08 11:54:22 - mmengine - INFO - Epoch(train) [22][ 20/529] lr: 5.000000e-04 eta: 9:55:34 time: 0.366738 data_time: 0.036001 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.853700 2023/08/08 11:54:26 - mmengine - INFO - Epoch(train) [22][ 30/529] lr: 5.000000e-04 eta: 9:55:30 time: 0.364929 data_time: 0.035542 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.872632 2023/08/08 11:54:29 - mmengine - INFO - Epoch(train) [22][ 40/529] lr: 5.000000e-04 eta: 9:55:27 time: 0.362278 data_time: 0.035773 memory: 4565 loss: 0.001019 loss_kpt: 0.001019 acc_pose: 0.853956 2023/08/08 11:54:33 - mmengine - INFO - Epoch(train) [22][ 50/529] lr: 5.000000e-04 eta: 9:55:24 time: 0.363769 data_time: 0.036435 memory: 4565 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.838775 2023/08/08 11:54:37 - mmengine - INFO - Epoch(train) [22][ 60/529] lr: 5.000000e-04 eta: 9:55:20 time: 0.358281 data_time: 0.032423 memory: 4565 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.842660 2023/08/08 11:54:40 - mmengine - INFO - Epoch(train) [22][ 70/529] lr: 5.000000e-04 eta: 9:55:16 time: 0.355725 data_time: 0.032481 memory: 4565 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.732845 2023/08/08 11:54:44 - mmengine - INFO - Epoch(train) [22][ 80/529] lr: 5.000000e-04 eta: 9:55:12 time: 0.355530 data_time: 0.032692 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.789365 2023/08/08 11:54:47 - mmengine - INFO - Epoch(train) [22][ 90/529] lr: 5.000000e-04 eta: 9:55:09 time: 0.356654 data_time: 0.032439 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.799795 2023/08/08 11:54:51 - mmengine - INFO - Epoch(train) [22][100/529] lr: 5.000000e-04 eta: 9:55:08 time: 0.362733 data_time: 0.036795 memory: 4565 loss: 0.001025 loss_kpt: 0.001025 acc_pose: 0.847824 2023/08/08 11:54:55 - mmengine - INFO - Epoch(train) [22][110/529] lr: 5.000000e-04 eta: 9:55:06 time: 0.366325 data_time: 0.036558 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.821047 2023/08/08 11:54:58 - mmengine - INFO - Epoch(train) [22][120/529] lr: 5.000000e-04 eta: 9:55:02 time: 0.366825 data_time: 0.036663 memory: 4565 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.822150 2023/08/08 11:55:02 - mmengine - INFO - Epoch(train) [22][130/529] lr: 5.000000e-04 eta: 9:54:59 time: 0.368882 data_time: 0.037089 memory: 4565 loss: 0.001016 loss_kpt: 0.001016 acc_pose: 0.803645 2023/08/08 11:55:06 - mmengine - INFO - Epoch(train) [22][140/529] lr: 5.000000e-04 eta: 9:54:55 time: 0.366948 data_time: 0.037509 memory: 4565 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.797720 2023/08/08 11:55:09 - mmengine - INFO - Epoch(train) [22][150/529] lr: 5.000000e-04 eta: 9:54:51 time: 0.359542 data_time: 0.033086 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.722656 2023/08/08 11:55:13 - mmengine - INFO - Epoch(train) [22][160/529] lr: 5.000000e-04 eta: 9:54:49 time: 0.361178 data_time: 0.033574 memory: 4565 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.762107 2023/08/08 11:55:16 - mmengine - INFO - Epoch(train) [22][170/529] lr: 5.000000e-04 eta: 9:54:45 time: 0.360986 data_time: 0.033545 memory: 4565 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.811002 2023/08/08 11:55:20 - mmengine - INFO - Epoch(train) [22][180/529] lr: 5.000000e-04 eta: 9:54:42 time: 0.359107 data_time: 0.033034 memory: 4565 loss: 0.001059 loss_kpt: 0.001059 acc_pose: 0.793405 2023/08/08 11:55:24 - mmengine - INFO - Epoch(train) [22][190/529] lr: 5.000000e-04 eta: 9:54:39 time: 0.362569 data_time: 0.032704 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.830571 2023/08/08 11:55:28 - mmengine - INFO - Epoch(train) [22][200/529] lr: 5.000000e-04 eta: 9:54:38 time: 0.367688 data_time: 0.032650 memory: 4565 loss: 0.001025 loss_kpt: 0.001025 acc_pose: 0.818095 2023/08/08 11:55:31 - mmengine - INFO - Epoch(train) [22][210/529] lr: 5.000000e-04 eta: 9:54:35 time: 0.366223 data_time: 0.032298 memory: 4565 loss: 0.001008 loss_kpt: 0.001008 acc_pose: 0.855188 2023/08/08 11:55:35 - mmengine - INFO - Epoch(train) [22][220/529] lr: 5.000000e-04 eta: 9:54:34 time: 0.372688 data_time: 0.032753 memory: 4565 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.877003 2023/08/08 11:55:39 - mmengine - INFO - Epoch(train) [22][230/529] lr: 5.000000e-04 eta: 9:54:32 time: 0.375012 data_time: 0.033668 memory: 4565 loss: 0.001027 loss_kpt: 0.001027 acc_pose: 0.802560 2023/08/08 11:55:42 - mmengine - INFO - Epoch(train) [22][240/529] lr: 5.000000e-04 eta: 9:54:28 time: 0.373101 data_time: 0.033938 memory: 4565 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.861398 2023/08/08 11:55:46 - mmengine - INFO - Epoch(train) [22][250/529] lr: 5.000000e-04 eta: 9:54:27 time: 0.373271 data_time: 0.034856 memory: 4565 loss: 0.001045 loss_kpt: 0.001045 acc_pose: 0.816767 2023/08/08 11:55:50 - mmengine - INFO - Epoch(train) [22][260/529] lr: 5.000000e-04 eta: 9:54:24 time: 0.372061 data_time: 0.035431 memory: 4565 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.822843 2023/08/08 11:55:53 - mmengine - INFO - Epoch(train) [22][270/529] lr: 5.000000e-04 eta: 9:54:21 time: 0.367095 data_time: 0.035883 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.836643 2023/08/08 11:55:57 - mmengine - INFO - Epoch(train) [22][280/529] lr: 5.000000e-04 eta: 9:54:19 time: 0.368855 data_time: 0.035494 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.857638 2023/08/08 11:56:01 - mmengine - INFO - Epoch(train) [22][290/529] lr: 5.000000e-04 eta: 9:54:15 time: 0.367386 data_time: 0.035522 memory: 4565 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.768346 2023/08/08 11:56:05 - mmengine - INFO - Epoch(train) [22][300/529] lr: 5.000000e-04 eta: 9:54:13 time: 0.368352 data_time: 0.034944 memory: 4565 loss: 0.001013 loss_kpt: 0.001013 acc_pose: 0.734869 2023/08/08 11:56:08 - mmengine - INFO - Epoch(train) [22][310/529] lr: 5.000000e-04 eta: 9:54:11 time: 0.370130 data_time: 0.034662 memory: 4565 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.784936 2023/08/08 11:56:12 - mmengine - INFO - Epoch(train) [22][320/529] lr: 5.000000e-04 eta: 9:54:08 time: 0.369755 data_time: 0.033922 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.756308 2023/08/08 11:56:16 - mmengine - INFO - Epoch(train) [22][330/529] lr: 5.000000e-04 eta: 9:54:05 time: 0.367749 data_time: 0.034113 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.857640 2023/08/08 11:56:20 - mmengine - INFO - Epoch(train) [22][340/529] lr: 5.000000e-04 eta: 9:54:05 time: 0.375152 data_time: 0.034323 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.727195 2023/08/08 11:56:23 - mmengine - INFO - Epoch(train) [22][350/529] lr: 5.000000e-04 eta: 9:54:03 time: 0.375606 data_time: 0.034414 memory: 4565 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.803794 2023/08/08 11:56:27 - mmengine - INFO - Epoch(train) [22][360/529] lr: 5.000000e-04 eta: 9:54:00 time: 0.371992 data_time: 0.034555 memory: 4565 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.853326 2023/08/08 11:56:31 - mmengine - INFO - Epoch(train) [22][370/529] lr: 5.000000e-04 eta: 9:53:56 time: 0.370950 data_time: 0.034614 memory: 4565 loss: 0.001059 loss_kpt: 0.001059 acc_pose: 0.786455 2023/08/08 11:56:34 - mmengine - INFO - Epoch(train) [22][380/529] lr: 5.000000e-04 eta: 9:53:56 time: 0.377008 data_time: 0.034185 memory: 4565 loss: 0.001050 loss_kpt: 0.001050 acc_pose: 0.823290 2023/08/08 11:56:38 - mmengine - INFO - Epoch(train) [22][390/529] lr: 5.000000e-04 eta: 9:53:55 time: 0.377421 data_time: 0.034278 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.821286 2023/08/08 11:56:42 - mmengine - INFO - Epoch(train) [22][400/529] lr: 5.000000e-04 eta: 9:53:52 time: 0.373398 data_time: 0.034075 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.829120 2023/08/08 11:56:46 - mmengine - INFO - Epoch(train) [22][410/529] lr: 5.000000e-04 eta: 9:53:48 time: 0.371883 data_time: 0.033536 memory: 4565 loss: 0.001025 loss_kpt: 0.001025 acc_pose: 0.791562 2023/08/08 11:56:49 - mmengine - INFO - Epoch(train) [22][420/529] lr: 5.000000e-04 eta: 9:53:44 time: 0.371337 data_time: 0.033254 memory: 4565 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.798206 2023/08/08 11:56:53 - mmengine - INFO - Epoch(train) [22][430/529] lr: 5.000000e-04 eta: 9:53:40 time: 0.362578 data_time: 0.033448 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.810843 2023/08/08 11:56:56 - mmengine - INFO - Epoch(train) [22][440/529] lr: 5.000000e-04 eta: 9:53:36 time: 0.354508 data_time: 0.033832 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.823517 2023/08/08 11:57:00 - mmengine - INFO - Epoch(train) [22][450/529] lr: 5.000000e-04 eta: 9:53:33 time: 0.355471 data_time: 0.033879 memory: 4565 loss: 0.001039 loss_kpt: 0.001039 acc_pose: 0.792260 2023/08/08 11:57:04 - mmengine - INFO - Epoch(train) [22][460/529] lr: 5.000000e-04 eta: 9:53:32 time: 0.361309 data_time: 0.034282 memory: 4565 loss: 0.001045 loss_kpt: 0.001045 acc_pose: 0.796685 2023/08/08 11:57:07 - mmengine - INFO - Epoch(train) [22][470/529] lr: 5.000000e-04 eta: 9:53:28 time: 0.362405 data_time: 0.034505 memory: 4565 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.838705 2023/08/08 11:57:11 - mmengine - INFO - Epoch(train) [22][480/529] lr: 5.000000e-04 eta: 9:53:25 time: 0.365931 data_time: 0.033965 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.828402 2023/08/08 11:57:15 - mmengine - INFO - Epoch(train) [22][490/529] lr: 5.000000e-04 eta: 9:53:23 time: 0.368786 data_time: 0.033198 memory: 4565 loss: 0.001050 loss_kpt: 0.001050 acc_pose: 0.774276 2023/08/08 11:57:18 - mmengine - INFO - Epoch(train) [22][500/529] lr: 5.000000e-04 eta: 9:53:20 time: 0.369281 data_time: 0.033295 memory: 4565 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.831110 2023/08/08 11:57:22 - mmengine - INFO - Epoch(train) [22][510/529] lr: 5.000000e-04 eta: 9:53:19 time: 0.370160 data_time: 0.033444 memory: 4565 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.822176 2023/08/08 11:57:26 - mmengine - INFO - Epoch(train) [22][520/529] lr: 5.000000e-04 eta: 9:53:16 time: 0.371611 data_time: 0.033182 memory: 4565 loss: 0.001066 loss_kpt: 0.001066 acc_pose: 0.782904 2023/08/08 11:57:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:57:33 - mmengine - INFO - Epoch(train) [23][ 10/529] lr: 5.000000e-04 eta: 9:53:11 time: 0.371275 data_time: 0.036854 memory: 4565 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.768848 2023/08/08 11:57:37 - mmengine - INFO - Epoch(train) [23][ 20/529] lr: 5.000000e-04 eta: 9:53:08 time: 0.371454 data_time: 0.036303 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.821260 2023/08/08 11:57:40 - mmengine - INFO - Epoch(train) [23][ 30/529] lr: 5.000000e-04 eta: 9:53:05 time: 0.366999 data_time: 0.035962 memory: 4565 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.804571 2023/08/08 11:57:44 - mmengine - INFO - Epoch(train) [23][ 40/529] lr: 5.000000e-04 eta: 9:53:03 time: 0.369147 data_time: 0.036844 memory: 4565 loss: 0.001039 loss_kpt: 0.001039 acc_pose: 0.839162 2023/08/08 11:57:48 - mmengine - INFO - Epoch(train) [23][ 50/529] lr: 5.000000e-04 eta: 9:53:01 time: 0.373572 data_time: 0.037193 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.862783 2023/08/08 11:57:51 - mmengine - INFO - Epoch(train) [23][ 60/529] lr: 5.000000e-04 eta: 9:52:58 time: 0.370106 data_time: 0.033597 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.868572 2023/08/08 11:57:55 - mmengine - INFO - Epoch(train) [23][ 70/529] lr: 5.000000e-04 eta: 9:52:54 time: 0.367614 data_time: 0.034251 memory: 4565 loss: 0.001012 loss_kpt: 0.001012 acc_pose: 0.766168 2023/08/08 11:57:59 - mmengine - INFO - Epoch(train) [23][ 80/529] lr: 5.000000e-04 eta: 9:52:52 time: 0.368419 data_time: 0.034541 memory: 4565 loss: 0.000998 loss_kpt: 0.000998 acc_pose: 0.826080 2023/08/08 11:58:02 - mmengine - INFO - Epoch(train) [23][ 90/529] lr: 5.000000e-04 eta: 9:52:49 time: 0.367848 data_time: 0.034444 memory: 4565 loss: 0.001006 loss_kpt: 0.001006 acc_pose: 0.839651 2023/08/08 11:58:06 - mmengine - INFO - Epoch(train) [23][100/529] lr: 5.000000e-04 eta: 9:52:47 time: 0.368505 data_time: 0.034945 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.874977 2023/08/08 11:58:10 - mmengine - INFO - Epoch(train) [23][110/529] lr: 5.000000e-04 eta: 9:52:45 time: 0.369133 data_time: 0.034739 memory: 4565 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.775724 2023/08/08 11:58:14 - mmengine - INFO - Epoch(train) [23][120/529] lr: 5.000000e-04 eta: 9:52:43 time: 0.374134 data_time: 0.034372 memory: 4565 loss: 0.001030 loss_kpt: 0.001030 acc_pose: 0.773807 2023/08/08 11:58:17 - mmengine - INFO - Epoch(train) [23][130/529] lr: 5.000000e-04 eta: 9:52:41 time: 0.373649 data_time: 0.034054 memory: 4565 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.841539 2023/08/08 11:58:21 - mmengine - INFO - Epoch(train) [23][140/529] lr: 5.000000e-04 eta: 9:52:38 time: 0.372901 data_time: 0.033443 memory: 4565 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.800293 2023/08/08 11:58:25 - mmengine - INFO - Epoch(train) [23][150/529] lr: 5.000000e-04 eta: 9:52:36 time: 0.374028 data_time: 0.033147 memory: 4565 loss: 0.001052 loss_kpt: 0.001052 acc_pose: 0.820838 2023/08/08 11:58:29 - mmengine - INFO - Epoch(train) [23][160/529] lr: 5.000000e-04 eta: 9:52:35 time: 0.378018 data_time: 0.033257 memory: 4565 loss: 0.001062 loss_kpt: 0.001062 acc_pose: 0.747618 2023/08/08 11:58:32 - mmengine - INFO - Epoch(train) [23][170/529] lr: 5.000000e-04 eta: 9:52:32 time: 0.374258 data_time: 0.033208 memory: 4565 loss: 0.001063 loss_kpt: 0.001063 acc_pose: 0.825788 2023/08/08 11:58:36 - mmengine - INFO - Epoch(train) [23][180/529] lr: 5.000000e-04 eta: 9:52:30 time: 0.375447 data_time: 0.033205 memory: 4565 loss: 0.001058 loss_kpt: 0.001058 acc_pose: 0.884969 2023/08/08 11:58:40 - mmengine - INFO - Epoch(train) [23][190/529] lr: 5.000000e-04 eta: 9:52:28 time: 0.376823 data_time: 0.033194 memory: 4565 loss: 0.001078 loss_kpt: 0.001078 acc_pose: 0.737076 2023/08/08 11:58:44 - mmengine - INFO - Epoch(train) [23][200/529] lr: 5.000000e-04 eta: 9:52:26 time: 0.376447 data_time: 0.033290 memory: 4565 loss: 0.001098 loss_kpt: 0.001098 acc_pose: 0.820694 2023/08/08 11:58:47 - mmengine - INFO - Epoch(train) [23][210/529] lr: 5.000000e-04 eta: 9:52:23 time: 0.371859 data_time: 0.033186 memory: 4565 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.862779 2023/08/08 11:58:51 - mmengine - INFO - Epoch(train) [23][220/529] lr: 5.000000e-04 eta: 9:52:21 time: 0.374505 data_time: 0.033572 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.826978 2023/08/08 11:58:55 - mmengine - INFO - Epoch(train) [23][230/529] lr: 5.000000e-04 eta: 9:52:19 time: 0.373677 data_time: 0.033491 memory: 4565 loss: 0.001063 loss_kpt: 0.001063 acc_pose: 0.705435 2023/08/08 11:58:58 - mmengine - INFO - Epoch(train) [23][240/529] lr: 5.000000e-04 eta: 9:52:16 time: 0.371599 data_time: 0.033354 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.819037 2023/08/08 11:59:02 - mmengine - INFO - Epoch(train) [23][250/529] lr: 5.000000e-04 eta: 9:52:12 time: 0.368554 data_time: 0.033235 memory: 4565 loss: 0.001030 loss_kpt: 0.001030 acc_pose: 0.821024 2023/08/08 11:59:06 - mmengine - INFO - Epoch(train) [23][260/529] lr: 5.000000e-04 eta: 9:52:12 time: 0.373129 data_time: 0.032979 memory: 4565 loss: 0.001055 loss_kpt: 0.001055 acc_pose: 0.785046 2023/08/08 11:59:10 - mmengine - INFO - Epoch(train) [23][270/529] lr: 5.000000e-04 eta: 9:52:10 time: 0.374375 data_time: 0.032707 memory: 4565 loss: 0.001070 loss_kpt: 0.001070 acc_pose: 0.796345 2023/08/08 11:59:14 - mmengine - INFO - Epoch(train) [23][280/529] lr: 5.000000e-04 eta: 9:52:11 time: 0.382911 data_time: 0.033043 memory: 4565 loss: 0.001055 loss_kpt: 0.001055 acc_pose: 0.828865 2023/08/08 11:59:18 - mmengine - INFO - Epoch(train) [23][290/529] lr: 5.000000e-04 eta: 9:52:11 time: 0.390490 data_time: 0.033356 memory: 4565 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.808546 2023/08/08 11:59:22 - mmengine - INFO - Epoch(train) [23][300/529] lr: 5.000000e-04 eta: 9:52:09 time: 0.393007 data_time: 0.033282 memory: 4565 loss: 0.001055 loss_kpt: 0.001055 acc_pose: 0.755986 2023/08/08 11:59:25 - mmengine - INFO - Epoch(train) [23][310/529] lr: 5.000000e-04 eta: 9:52:06 time: 0.387054 data_time: 0.033289 memory: 4565 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.798304 2023/08/08 11:59:29 - mmengine - INFO - Epoch(train) [23][320/529] lr: 5.000000e-04 eta: 9:52:05 time: 0.389038 data_time: 0.033258 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.801055 2023/08/08 11:59:33 - mmengine - INFO - Epoch(train) [23][330/529] lr: 5.000000e-04 eta: 9:52:03 time: 0.383521 data_time: 0.033291 memory: 4565 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.792392 2023/08/08 11:59:37 - mmengine - INFO - Epoch(train) [23][340/529] lr: 5.000000e-04 eta: 9:52:00 time: 0.375937 data_time: 0.032977 memory: 4565 loss: 0.000998 loss_kpt: 0.000998 acc_pose: 0.829592 2023/08/08 11:59:40 - mmengine - INFO - Epoch(train) [23][350/529] lr: 5.000000e-04 eta: 9:51:57 time: 0.372906 data_time: 0.032699 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.850631 2023/08/08 11:59:44 - mmengine - INFO - Epoch(train) [23][360/529] lr: 5.000000e-04 eta: 9:51:53 time: 0.372212 data_time: 0.032708 memory: 4565 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.774218 2023/08/08 11:59:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 11:59:48 - mmengine - INFO - Epoch(train) [23][370/529] lr: 5.000000e-04 eta: 9:51:51 time: 0.368286 data_time: 0.032580 memory: 4565 loss: 0.001037 loss_kpt: 0.001037 acc_pose: 0.765926 2023/08/08 11:59:52 - mmengine - INFO - Epoch(train) [23][380/529] lr: 5.000000e-04 eta: 9:51:50 time: 0.369344 data_time: 0.032093 memory: 4565 loss: 0.001058 loss_kpt: 0.001058 acc_pose: 0.712297 2023/08/08 11:59:55 - mmengine - INFO - Epoch(train) [23][390/529] lr: 5.000000e-04 eta: 9:51:47 time: 0.370508 data_time: 0.032415 memory: 4565 loss: 0.001069 loss_kpt: 0.001069 acc_pose: 0.847129 2023/08/08 11:59:59 - mmengine - INFO - Epoch(train) [23][400/529] lr: 5.000000e-04 eta: 9:51:45 time: 0.371496 data_time: 0.032691 memory: 4565 loss: 0.001061 loss_kpt: 0.001061 acc_pose: 0.829665 2023/08/08 12:00:02 - mmengine - INFO - Epoch(train) [23][410/529] lr: 5.000000e-04 eta: 9:51:41 time: 0.371391 data_time: 0.032612 memory: 4565 loss: 0.001052 loss_kpt: 0.001052 acc_pose: 0.819792 2023/08/08 12:00:06 - mmengine - INFO - Epoch(train) [23][420/529] lr: 5.000000e-04 eta: 9:51:39 time: 0.373209 data_time: 0.036460 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.861523 2023/08/08 12:00:10 - mmengine - INFO - Epoch(train) [23][430/529] lr: 5.000000e-04 eta: 9:51:37 time: 0.371413 data_time: 0.036613 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.769971 2023/08/08 12:00:14 - mmengine - INFO - Epoch(train) [23][440/529] lr: 5.000000e-04 eta: 9:51:34 time: 0.370247 data_time: 0.036431 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.745960 2023/08/08 12:00:18 - mmengine - INFO - Epoch(train) [23][450/529] lr: 5.000000e-04 eta: 9:51:35 time: 0.378004 data_time: 0.036763 memory: 4565 loss: 0.001008 loss_kpt: 0.001008 acc_pose: 0.783218 2023/08/08 12:00:22 - mmengine - INFO - Epoch(train) [23][460/529] lr: 5.000000e-04 eta: 9:51:34 time: 0.386261 data_time: 0.037430 memory: 4565 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.830925 2023/08/08 12:00:26 - mmengine - INFO - Epoch(train) [23][470/529] lr: 5.000000e-04 eta: 9:51:34 time: 0.388158 data_time: 0.034139 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.648100 2023/08/08 12:00:29 - mmengine - INFO - Epoch(train) [23][480/529] lr: 5.000000e-04 eta: 9:51:31 time: 0.385952 data_time: 0.034167 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.799323 2023/08/08 12:00:33 - mmengine - INFO - Epoch(train) [23][490/529] lr: 5.000000e-04 eta: 9:51:31 time: 0.393134 data_time: 0.034656 memory: 4565 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.794530 2023/08/08 12:00:37 - mmengine - INFO - Epoch(train) [23][500/529] lr: 5.000000e-04 eta: 9:51:27 time: 0.384955 data_time: 0.034513 memory: 4565 loss: 0.001062 loss_kpt: 0.001062 acc_pose: 0.821770 2023/08/08 12:00:41 - mmengine - INFO - Epoch(train) [23][510/529] lr: 5.000000e-04 eta: 9:51:24 time: 0.377995 data_time: 0.034758 memory: 4565 loss: 0.001067 loss_kpt: 0.001067 acc_pose: 0.736098 2023/08/08 12:00:44 - mmengine - INFO - Epoch(train) [23][520/529] lr: 5.000000e-04 eta: 9:51:22 time: 0.374100 data_time: 0.034229 memory: 4565 loss: 0.001066 loss_kpt: 0.001066 acc_pose: 0.898883 2023/08/08 12:00:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:00:52 - mmengine - INFO - Epoch(train) [24][ 10/529] lr: 5.000000e-04 eta: 9:51:17 time: 0.368728 data_time: 0.039411 memory: 4565 loss: 0.001064 loss_kpt: 0.001064 acc_pose: 0.761644 2023/08/08 12:00:55 - mmengine - INFO - Epoch(train) [24][ 20/529] lr: 5.000000e-04 eta: 9:51:14 time: 0.368042 data_time: 0.039280 memory: 4565 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.836746 2023/08/08 12:00:59 - mmengine - INFO - Epoch(train) [24][ 30/529] lr: 5.000000e-04 eta: 9:51:12 time: 0.371589 data_time: 0.043153 memory: 4565 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.785904 2023/08/08 12:01:03 - mmengine - INFO - Epoch(train) [24][ 40/529] lr: 5.000000e-04 eta: 9:51:10 time: 0.373537 data_time: 0.043062 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.843901 2023/08/08 12:01:07 - mmengine - INFO - Epoch(train) [24][ 50/529] lr: 5.000000e-04 eta: 9:51:10 time: 0.381159 data_time: 0.042949 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.830103 2023/08/08 12:01:11 - mmengine - INFO - Epoch(train) [24][ 60/529] lr: 5.000000e-04 eta: 9:51:08 time: 0.380283 data_time: 0.038072 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.760314 2023/08/08 12:01:14 - mmengine - INFO - Epoch(train) [24][ 70/529] lr: 5.000000e-04 eta: 9:51:04 time: 0.380381 data_time: 0.037820 memory: 4565 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.861591 2023/08/08 12:01:18 - mmengine - INFO - Epoch(train) [24][ 80/529] lr: 5.000000e-04 eta: 9:51:04 time: 0.384489 data_time: 0.037485 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.830025 2023/08/08 12:01:22 - mmengine - INFO - Epoch(train) [24][ 90/529] lr: 5.000000e-04 eta: 9:51:01 time: 0.380638 data_time: 0.037754 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.861033 2023/08/08 12:01:25 - mmengine - INFO - Epoch(train) [24][100/529] lr: 5.000000e-04 eta: 9:50:57 time: 0.372133 data_time: 0.037356 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.796254 2023/08/08 12:01:29 - mmengine - INFO - Epoch(train) [24][110/529] lr: 5.000000e-04 eta: 9:50:55 time: 0.371725 data_time: 0.036962 memory: 4565 loss: 0.001012 loss_kpt: 0.001012 acc_pose: 0.834267 2023/08/08 12:01:33 - mmengine - INFO - Epoch(train) [24][120/529] lr: 5.000000e-04 eta: 9:50:55 time: 0.379606 data_time: 0.036901 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.740422 2023/08/08 12:01:37 - mmengine - INFO - Epoch(train) [24][130/529] lr: 5.000000e-04 eta: 9:50:51 time: 0.371759 data_time: 0.032707 memory: 4565 loss: 0.001008 loss_kpt: 0.001008 acc_pose: 0.778754 2023/08/08 12:01:40 - mmengine - INFO - Epoch(train) [24][140/529] lr: 5.000000e-04 eta: 9:50:48 time: 0.369737 data_time: 0.032415 memory: 4565 loss: 0.001014 loss_kpt: 0.001014 acc_pose: 0.767463 2023/08/08 12:01:44 - mmengine - INFO - Epoch(train) [24][150/529] lr: 5.000000e-04 eta: 9:50:45 time: 0.371707 data_time: 0.032675 memory: 4565 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.789178 2023/08/08 12:01:48 - mmengine - INFO - Epoch(train) [24][160/529] lr: 5.000000e-04 eta: 9:50:41 time: 0.367691 data_time: 0.032647 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.699838 2023/08/08 12:01:51 - mmengine - INFO - Epoch(train) [24][170/529] lr: 5.000000e-04 eta: 9:50:36 time: 0.357551 data_time: 0.032845 memory: 4565 loss: 0.001039 loss_kpt: 0.001039 acc_pose: 0.851801 2023/08/08 12:01:55 - mmengine - INFO - Epoch(train) [24][180/529] lr: 5.000000e-04 eta: 9:50:32 time: 0.355480 data_time: 0.032820 memory: 4565 loss: 0.001063 loss_kpt: 0.001063 acc_pose: 0.780880 2023/08/08 12:01:58 - mmengine - INFO - Epoch(train) [24][190/529] lr: 5.000000e-04 eta: 9:50:29 time: 0.356044 data_time: 0.033005 memory: 4565 loss: 0.001066 loss_kpt: 0.001066 acc_pose: 0.742731 2023/08/08 12:02:02 - mmengine - INFO - Epoch(train) [24][200/529] lr: 5.000000e-04 eta: 9:50:25 time: 0.354494 data_time: 0.032673 memory: 4565 loss: 0.001076 loss_kpt: 0.001076 acc_pose: 0.834810 2023/08/08 12:02:06 - mmengine - INFO - Epoch(train) [24][210/529] lr: 5.000000e-04 eta: 9:50:23 time: 0.359670 data_time: 0.032673 memory: 4565 loss: 0.001068 loss_kpt: 0.001068 acc_pose: 0.843652 2023/08/08 12:02:09 - mmengine - INFO - Epoch(train) [24][220/529] lr: 5.000000e-04 eta: 9:50:21 time: 0.364943 data_time: 0.032424 memory: 4565 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.814120 2023/08/08 12:02:13 - mmengine - INFO - Epoch(train) [24][230/529] lr: 5.000000e-04 eta: 9:50:17 time: 0.365388 data_time: 0.032523 memory: 4565 loss: 0.001052 loss_kpt: 0.001052 acc_pose: 0.808420 2023/08/08 12:02:16 - mmengine - INFO - Epoch(train) [24][240/529] lr: 5.000000e-04 eta: 9:50:13 time: 0.364573 data_time: 0.032321 memory: 4565 loss: 0.001053 loss_kpt: 0.001053 acc_pose: 0.836098 2023/08/08 12:02:20 - mmengine - INFO - Epoch(train) [24][250/529] lr: 5.000000e-04 eta: 9:50:11 time: 0.368629 data_time: 0.036215 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.815862 2023/08/08 12:02:24 - mmengine - INFO - Epoch(train) [24][260/529] lr: 5.000000e-04 eta: 9:50:07 time: 0.363440 data_time: 0.036048 memory: 4565 loss: 0.001037 loss_kpt: 0.001037 acc_pose: 0.816813 2023/08/08 12:02:27 - mmengine - INFO - Epoch(train) [24][270/529] lr: 5.000000e-04 eta: 9:50:04 time: 0.360907 data_time: 0.037194 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.797431 2023/08/08 12:02:31 - mmengine - INFO - Epoch(train) [24][280/529] lr: 5.000000e-04 eta: 9:50:00 time: 0.361817 data_time: 0.037147 memory: 4565 loss: 0.001046 loss_kpt: 0.001046 acc_pose: 0.808348 2023/08/08 12:02:35 - mmengine - INFO - Epoch(train) [24][290/529] lr: 5.000000e-04 eta: 9:49:57 time: 0.364444 data_time: 0.037089 memory: 4565 loss: 0.001037 loss_kpt: 0.001037 acc_pose: 0.814117 2023/08/08 12:02:38 - mmengine - INFO - Epoch(train) [24][300/529] lr: 5.000000e-04 eta: 9:49:54 time: 0.361079 data_time: 0.033575 memory: 4565 loss: 0.001055 loss_kpt: 0.001055 acc_pose: 0.804380 2023/08/08 12:02:42 - mmengine - INFO - Epoch(train) [24][310/529] lr: 5.000000e-04 eta: 9:49:52 time: 0.364769 data_time: 0.033576 memory: 4565 loss: 0.001054 loss_kpt: 0.001054 acc_pose: 0.878918 2023/08/08 12:02:46 - mmengine - INFO - Epoch(train) [24][320/529] lr: 5.000000e-04 eta: 9:49:49 time: 0.365616 data_time: 0.032905 memory: 4565 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.829997 2023/08/08 12:02:49 - mmengine - INFO - Epoch(train) [24][330/529] lr: 5.000000e-04 eta: 9:49:46 time: 0.368085 data_time: 0.032949 memory: 4565 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.838748 2023/08/08 12:02:53 - mmengine - INFO - Epoch(train) [24][340/529] lr: 5.000000e-04 eta: 9:49:42 time: 0.364607 data_time: 0.032917 memory: 4565 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.840646 2023/08/08 12:02:56 - mmengine - INFO - Epoch(train) [24][350/529] lr: 5.000000e-04 eta: 9:49:38 time: 0.363418 data_time: 0.032545 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.842903 2023/08/08 12:03:00 - mmengine - INFO - Epoch(train) [24][360/529] lr: 5.000000e-04 eta: 9:49:35 time: 0.361638 data_time: 0.034201 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.835030 2023/08/08 12:03:04 - mmengine - INFO - Epoch(train) [24][370/529] lr: 5.000000e-04 eta: 9:49:32 time: 0.362707 data_time: 0.033896 memory: 4565 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.855282 2023/08/08 12:03:08 - mmengine - INFO - Epoch(train) [24][380/529] lr: 5.000000e-04 eta: 9:49:32 time: 0.369894 data_time: 0.034062 memory: 4565 loss: 0.001045 loss_kpt: 0.001045 acc_pose: 0.831694 2023/08/08 12:03:12 - mmengine - INFO - Epoch(train) [24][390/529] lr: 5.000000e-04 eta: 9:49:31 time: 0.378654 data_time: 0.034127 memory: 4565 loss: 0.001052 loss_kpt: 0.001052 acc_pose: 0.878408 2023/08/08 12:03:15 - mmengine - INFO - Epoch(train) [24][400/529] lr: 5.000000e-04 eta: 9:49:29 time: 0.381499 data_time: 0.034232 memory: 4565 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.789566 2023/08/08 12:03:19 - mmengine - INFO - Epoch(train) [24][410/529] lr: 5.000000e-04 eta: 9:49:25 time: 0.380320 data_time: 0.033022 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.888857 2023/08/08 12:03:23 - mmengine - INFO - Epoch(train) [24][420/529] lr: 5.000000e-04 eta: 9:49:22 time: 0.379428 data_time: 0.033362 memory: 4565 loss: 0.001036 loss_kpt: 0.001036 acc_pose: 0.873546 2023/08/08 12:03:26 - mmengine - INFO - Epoch(train) [24][430/529] lr: 5.000000e-04 eta: 9:49:19 time: 0.370959 data_time: 0.033835 memory: 4565 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.825988 2023/08/08 12:03:30 - mmengine - INFO - Epoch(train) [24][440/529] lr: 5.000000e-04 eta: 9:49:18 time: 0.370890 data_time: 0.037650 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.803876 2023/08/08 12:03:34 - mmengine - INFO - Epoch(train) [24][450/529] lr: 5.000000e-04 eta: 9:49:16 time: 0.371994 data_time: 0.038177 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.806722 2023/08/08 12:03:38 - mmengine - INFO - Epoch(train) [24][460/529] lr: 5.000000e-04 eta: 9:49:13 time: 0.374473 data_time: 0.038345 memory: 4565 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.856551 2023/08/08 12:03:41 - mmengine - INFO - Epoch(train) [24][470/529] lr: 5.000000e-04 eta: 9:49:10 time: 0.373843 data_time: 0.038452 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.842997 2023/08/08 12:03:45 - mmengine - INFO - Epoch(train) [24][480/529] lr: 5.000000e-04 eta: 9:49:07 time: 0.373649 data_time: 0.038272 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.851655 2023/08/08 12:03:49 - mmengine - INFO - Epoch(train) [24][490/529] lr: 5.000000e-04 eta: 9:49:04 time: 0.368098 data_time: 0.034379 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.830635 2023/08/08 12:03:52 - mmengine - INFO - Epoch(train) [24][500/529] lr: 5.000000e-04 eta: 9:49:00 time: 0.365777 data_time: 0.034043 memory: 4565 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.784483 2023/08/08 12:03:56 - mmengine - INFO - Epoch(train) [24][510/529] lr: 5.000000e-04 eta: 9:48:57 time: 0.364577 data_time: 0.033543 memory: 4565 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.831998 2023/08/08 12:04:00 - mmengine - INFO - Epoch(train) [24][520/529] lr: 5.000000e-04 eta: 9:48:54 time: 0.363605 data_time: 0.033041 memory: 4565 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.787863 2023/08/08 12:04:03 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:04:07 - mmengine - INFO - Epoch(train) [25][ 10/529] lr: 5.000000e-04 eta: 9:48:48 time: 0.364470 data_time: 0.036456 memory: 4565 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.876902 2023/08/08 12:04:10 - mmengine - INFO - Epoch(train) [25][ 20/529] lr: 5.000000e-04 eta: 9:48:45 time: 0.365434 data_time: 0.036218 memory: 4565 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.827477 2023/08/08 12:04:14 - mmengine - INFO - Epoch(train) [25][ 30/529] lr: 5.000000e-04 eta: 9:48:44 time: 0.368303 data_time: 0.036560 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.839566 2023/08/08 12:04:18 - mmengine - INFO - Epoch(train) [25][ 40/529] lr: 5.000000e-04 eta: 9:48:42 time: 0.372826 data_time: 0.036693 memory: 4565 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.849502 2023/08/08 12:04:22 - mmengine - INFO - Epoch(train) [25][ 50/529] lr: 5.000000e-04 eta: 9:48:38 time: 0.374965 data_time: 0.037193 memory: 4565 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.791746 2023/08/08 12:04:25 - mmengine - INFO - Epoch(train) [25][ 60/529] lr: 5.000000e-04 eta: 9:48:35 time: 0.372275 data_time: 0.033592 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.829236 2023/08/08 12:04:29 - mmengine - INFO - Epoch(train) [25][ 70/529] lr: 5.000000e-04 eta: 9:48:32 time: 0.371295 data_time: 0.033628 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.833925 2023/08/08 12:04:33 - mmengine - INFO - Epoch(train) [25][ 80/529] lr: 5.000000e-04 eta: 9:48:30 time: 0.369505 data_time: 0.034508 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.850952 2023/08/08 12:04:36 - mmengine - INFO - Epoch(train) [25][ 90/529] lr: 5.000000e-04 eta: 9:48:27 time: 0.368257 data_time: 0.034800 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.764767 2023/08/08 12:04:40 - mmengine - INFO - Epoch(train) [25][100/529] lr: 5.000000e-04 eta: 9:48:26 time: 0.374087 data_time: 0.039067 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.793488 2023/08/08 12:04:44 - mmengine - INFO - Epoch(train) [25][110/529] lr: 5.000000e-04 eta: 9:48:25 time: 0.379305 data_time: 0.038509 memory: 4565 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.830898 2023/08/08 12:04:48 - mmengine - INFO - Epoch(train) [25][120/529] lr: 5.000000e-04 eta: 9:48:25 time: 0.386624 data_time: 0.039306 memory: 4565 loss: 0.001016 loss_kpt: 0.001016 acc_pose: 0.776979 2023/08/08 12:04:52 - mmengine - INFO - Epoch(train) [25][130/529] lr: 5.000000e-04 eta: 9:48:23 time: 0.389922 data_time: 0.038287 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.826507 2023/08/08 12:04:56 - mmengine - INFO - Epoch(train) [25][140/529] lr: 5.000000e-04 eta: 9:48:20 time: 0.388643 data_time: 0.038353 memory: 4565 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.839653 2023/08/08 12:04:59 - mmengine - INFO - Epoch(train) [25][150/529] lr: 5.000000e-04 eta: 9:48:18 time: 0.384184 data_time: 0.034518 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.728705 2023/08/08 12:05:03 - mmengine - INFO - Epoch(train) [25][160/529] lr: 5.000000e-04 eta: 9:48:15 time: 0.378501 data_time: 0.034723 memory: 4565 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.800707 2023/08/08 12:05:07 - mmengine - INFO - Epoch(train) [25][170/529] lr: 5.000000e-04 eta: 9:48:11 time: 0.370890 data_time: 0.033830 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.798777 2023/08/08 12:05:11 - mmengine - INFO - Epoch(train) [25][180/529] lr: 5.000000e-04 eta: 9:48:09 time: 0.369031 data_time: 0.034159 memory: 4565 loss: 0.001038 loss_kpt: 0.001038 acc_pose: 0.835889 2023/08/08 12:05:14 - mmengine - INFO - Epoch(train) [25][190/529] lr: 5.000000e-04 eta: 9:48:06 time: 0.368092 data_time: 0.033743 memory: 4565 loss: 0.001045 loss_kpt: 0.001045 acc_pose: 0.770617 2023/08/08 12:05:18 - mmengine - INFO - Epoch(train) [25][200/529] lr: 5.000000e-04 eta: 9:48:05 time: 0.372369 data_time: 0.033889 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.838902 2023/08/08 12:05:22 - mmengine - INFO - Epoch(train) [25][210/529] lr: 5.000000e-04 eta: 9:48:03 time: 0.375428 data_time: 0.033645 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.794547 2023/08/08 12:05:25 - mmengine - INFO - Epoch(train) [25][220/529] lr: 5.000000e-04 eta: 9:47:59 time: 0.375540 data_time: 0.033619 memory: 4565 loss: 0.001025 loss_kpt: 0.001025 acc_pose: 0.876496 2023/08/08 12:05:29 - mmengine - INFO - Epoch(train) [25][230/529] lr: 5.000000e-04 eta: 9:47:57 time: 0.374344 data_time: 0.033370 memory: 4565 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.885335 2023/08/08 12:05:33 - mmengine - INFO - Epoch(train) [25][240/529] lr: 5.000000e-04 eta: 9:47:54 time: 0.375300 data_time: 0.033305 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.820450 2023/08/08 12:05:37 - mmengine - INFO - Epoch(train) [25][250/529] lr: 5.000000e-04 eta: 9:47:52 time: 0.373039 data_time: 0.032594 memory: 4565 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.854666 2023/08/08 12:05:40 - mmengine - INFO - Epoch(train) [25][260/529] lr: 5.000000e-04 eta: 9:47:50 time: 0.372143 data_time: 0.032734 memory: 4565 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.865181 2023/08/08 12:05:45 - mmengine - INFO - Epoch(train) [25][270/529] lr: 5.000000e-04 eta: 9:47:49 time: 0.380485 data_time: 0.033216 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.787206 2023/08/08 12:05:48 - mmengine - INFO - Epoch(train) [25][280/529] lr: 5.000000e-04 eta: 9:47:47 time: 0.380757 data_time: 0.033414 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.842064 2023/08/08 12:05:52 - mmengine - INFO - Epoch(train) [25][290/529] lr: 5.000000e-04 eta: 9:47:44 time: 0.380214 data_time: 0.033881 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.759764 2023/08/08 12:05:56 - mmengine - INFO - Epoch(train) [25][300/529] lr: 5.000000e-04 eta: 9:47:40 time: 0.376562 data_time: 0.034119 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.795052 2023/08/08 12:05:57 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:05:59 - mmengine - INFO - Epoch(train) [25][310/529] lr: 5.000000e-04 eta: 9:47:38 time: 0.376848 data_time: 0.034776 memory: 4565 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.815799 2023/08/08 12:06:03 - mmengine - INFO - Epoch(train) [25][320/529] lr: 5.000000e-04 eta: 9:47:35 time: 0.370070 data_time: 0.034587 memory: 4565 loss: 0.001001 loss_kpt: 0.001001 acc_pose: 0.839241 2023/08/08 12:06:07 - mmengine - INFO - Epoch(train) [25][330/529] lr: 5.000000e-04 eta: 9:47:32 time: 0.366951 data_time: 0.034285 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.865897 2023/08/08 12:06:10 - mmengine - INFO - Epoch(train) [25][340/529] lr: 5.000000e-04 eta: 9:47:28 time: 0.366340 data_time: 0.034359 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.832631 2023/08/08 12:06:14 - mmengine - INFO - Epoch(train) [25][350/529] lr: 5.000000e-04 eta: 9:47:26 time: 0.369990 data_time: 0.034776 memory: 4565 loss: 0.001016 loss_kpt: 0.001016 acc_pose: 0.887990 2023/08/08 12:06:18 - mmengine - INFO - Epoch(train) [25][360/529] lr: 5.000000e-04 eta: 9:47:23 time: 0.367885 data_time: 0.034336 memory: 4565 loss: 0.001036 loss_kpt: 0.001036 acc_pose: 0.778716 2023/08/08 12:06:21 - mmengine - INFO - Epoch(train) [25][370/529] lr: 5.000000e-04 eta: 9:47:21 time: 0.367718 data_time: 0.034392 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.786217 2023/08/08 12:06:25 - mmengine - INFO - Epoch(train) [25][380/529] lr: 5.000000e-04 eta: 9:47:18 time: 0.369705 data_time: 0.034398 memory: 4565 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.840151 2023/08/08 12:06:29 - mmengine - INFO - Epoch(train) [25][390/529] lr: 5.000000e-04 eta: 9:47:14 time: 0.368702 data_time: 0.034056 memory: 4565 loss: 0.001062 loss_kpt: 0.001062 acc_pose: 0.808170 2023/08/08 12:06:32 - mmengine - INFO - Epoch(train) [25][400/529] lr: 5.000000e-04 eta: 9:47:10 time: 0.364852 data_time: 0.033983 memory: 4565 loss: 0.001055 loss_kpt: 0.001055 acc_pose: 0.848975 2023/08/08 12:06:36 - mmengine - INFO - Epoch(train) [25][410/529] lr: 5.000000e-04 eta: 9:47:09 time: 0.370479 data_time: 0.033867 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.788216 2023/08/08 12:06:40 - mmengine - INFO - Epoch(train) [25][420/529] lr: 5.000000e-04 eta: 9:47:09 time: 0.377088 data_time: 0.033820 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.846626 2023/08/08 12:06:44 - mmengine - INFO - Epoch(train) [25][430/529] lr: 5.000000e-04 eta: 9:47:09 time: 0.384725 data_time: 0.034618 memory: 4565 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.787066 2023/08/08 12:06:48 - mmengine - INFO - Epoch(train) [25][440/529] lr: 5.000000e-04 eta: 9:47:06 time: 0.385643 data_time: 0.034977 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.822660 2023/08/08 12:06:52 - mmengine - INFO - Epoch(train) [25][450/529] lr: 5.000000e-04 eta: 9:47:04 time: 0.389168 data_time: 0.038109 memory: 4565 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.813778 2023/08/08 12:06:55 - mmengine - INFO - Epoch(train) [25][460/529] lr: 5.000000e-04 eta: 9:47:00 time: 0.382135 data_time: 0.037513 memory: 4565 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.775057 2023/08/08 12:06:59 - mmengine - INFO - Epoch(train) [25][470/529] lr: 5.000000e-04 eta: 9:46:57 time: 0.376464 data_time: 0.037237 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.768294 2023/08/08 12:07:03 - mmengine - INFO - Epoch(train) [25][480/529] lr: 5.000000e-04 eta: 9:46:55 time: 0.368681 data_time: 0.036402 memory: 4565 loss: 0.001038 loss_kpt: 0.001038 acc_pose: 0.818879 2023/08/08 12:07:07 - mmengine - INFO - Epoch(train) [25][490/529] lr: 5.000000e-04 eta: 9:46:53 time: 0.374185 data_time: 0.036495 memory: 4565 loss: 0.001037 loss_kpt: 0.001037 acc_pose: 0.797709 2023/08/08 12:07:10 - mmengine - INFO - Epoch(train) [25][500/529] lr: 5.000000e-04 eta: 9:46:49 time: 0.369532 data_time: 0.032674 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.829096 2023/08/08 12:07:14 - mmengine - INFO - Epoch(train) [25][510/529] lr: 5.000000e-04 eta: 9:46:46 time: 0.369837 data_time: 0.032977 memory: 4565 loss: 0.001012 loss_kpt: 0.001012 acc_pose: 0.827331 2023/08/08 12:07:17 - mmengine - INFO - Epoch(train) [25][520/529] lr: 5.000000e-04 eta: 9:46:42 time: 0.367050 data_time: 0.033419 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.877129 2023/08/08 12:07:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:07:24 - mmengine - INFO - Epoch(train) [26][ 10/529] lr: 5.000000e-04 eta: 9:46:36 time: 0.361470 data_time: 0.036940 memory: 4565 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.798452 2023/08/08 12:07:28 - mmengine - INFO - Epoch(train) [26][ 20/529] lr: 5.000000e-04 eta: 9:46:33 time: 0.362776 data_time: 0.037198 memory: 4565 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.794711 2023/08/08 12:07:32 - mmengine - INFO - Epoch(train) [26][ 30/529] lr: 5.000000e-04 eta: 9:46:29 time: 0.361466 data_time: 0.036974 memory: 4565 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.785415 2023/08/08 12:07:35 - mmengine - INFO - Epoch(train) [26][ 40/529] lr: 5.000000e-04 eta: 9:46:25 time: 0.359040 data_time: 0.036264 memory: 4565 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.846859 2023/08/08 12:07:39 - mmengine - INFO - Epoch(train) [26][ 50/529] lr: 5.000000e-04 eta: 9:46:20 time: 0.359311 data_time: 0.037088 memory: 4565 loss: 0.000971 loss_kpt: 0.000971 acc_pose: 0.865772 2023/08/08 12:07:42 - mmengine - INFO - Epoch(train) [26][ 60/529] lr: 5.000000e-04 eta: 9:46:18 time: 0.358893 data_time: 0.033330 memory: 4565 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.810409 2023/08/08 12:07:46 - mmengine - INFO - Epoch(train) [26][ 70/529] lr: 5.000000e-04 eta: 9:46:16 time: 0.363652 data_time: 0.033159 memory: 4565 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.834432 2023/08/08 12:07:50 - mmengine - INFO - Epoch(train) [26][ 80/529] lr: 5.000000e-04 eta: 9:46:13 time: 0.365801 data_time: 0.033168 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.807530 2023/08/08 12:07:54 - mmengine - INFO - Epoch(train) [26][ 90/529] lr: 5.000000e-04 eta: 9:46:12 time: 0.374565 data_time: 0.033433 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.777050 2023/08/08 12:07:58 - mmengine - INFO - Epoch(train) [26][100/529] lr: 5.000000e-04 eta: 9:46:11 time: 0.382830 data_time: 0.036967 memory: 4565 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.826327 2023/08/08 12:08:01 - mmengine - INFO - Epoch(train) [26][110/529] lr: 5.000000e-04 eta: 9:46:07 time: 0.378741 data_time: 0.036027 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.823557 2023/08/08 12:08:05 - mmengine - INFO - Epoch(train) [26][120/529] lr: 5.000000e-04 eta: 9:46:03 time: 0.372751 data_time: 0.035956 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.781484 2023/08/08 12:08:08 - mmengine - INFO - Epoch(train) [26][130/529] lr: 5.000000e-04 eta: 9:45:59 time: 0.371058 data_time: 0.036487 memory: 4565 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.760178 2023/08/08 12:08:12 - mmengine - INFO - Epoch(train) [26][140/529] lr: 5.000000e-04 eta: 9:45:56 time: 0.365818 data_time: 0.036507 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.811674 2023/08/08 12:08:16 - mmengine - INFO - Epoch(train) [26][150/529] lr: 5.000000e-04 eta: 9:45:53 time: 0.359414 data_time: 0.033176 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.822189 2023/08/08 12:08:19 - mmengine - INFO - Epoch(train) [26][160/529] lr: 5.000000e-04 eta: 9:45:49 time: 0.359436 data_time: 0.033540 memory: 4565 loss: 0.001027 loss_kpt: 0.001027 acc_pose: 0.821714 2023/08/08 12:08:23 - mmengine - INFO - Epoch(train) [26][170/529] lr: 5.000000e-04 eta: 9:45:45 time: 0.359274 data_time: 0.033497 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.843693 2023/08/08 12:08:26 - mmengine - INFO - Epoch(train) [26][180/529] lr: 5.000000e-04 eta: 9:45:41 time: 0.360069 data_time: 0.033169 memory: 4565 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.760423 2023/08/08 12:08:30 - mmengine - INFO - Epoch(train) [26][190/529] lr: 5.000000e-04 eta: 9:45:39 time: 0.361326 data_time: 0.033680 memory: 4565 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.721328 2023/08/08 12:08:34 - mmengine - INFO - Epoch(train) [26][200/529] lr: 5.000000e-04 eta: 9:45:37 time: 0.364954 data_time: 0.034326 memory: 4565 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.854836 2023/08/08 12:08:38 - mmengine - INFO - Epoch(train) [26][210/529] lr: 5.000000e-04 eta: 9:45:36 time: 0.374511 data_time: 0.033885 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.820601 2023/08/08 12:08:42 - mmengine - INFO - Epoch(train) [26][220/529] lr: 5.000000e-04 eta: 9:45:33 time: 0.376664 data_time: 0.033966 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.822673 2023/08/08 12:08:45 - mmengine - INFO - Epoch(train) [26][230/529] lr: 5.000000e-04 eta: 9:45:30 time: 0.378475 data_time: 0.033778 memory: 4565 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.781390 2023/08/08 12:08:49 - mmengine - INFO - Epoch(train) [26][240/529] lr: 5.000000e-04 eta: 9:45:28 time: 0.379508 data_time: 0.033634 memory: 4565 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.807664 2023/08/08 12:08:53 - mmengine - INFO - Epoch(train) [26][250/529] lr: 5.000000e-04 eta: 9:45:26 time: 0.379971 data_time: 0.033040 memory: 4565 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.844125 2023/08/08 12:08:57 - mmengine - INFO - Epoch(train) [26][260/529] lr: 5.000000e-04 eta: 9:45:23 time: 0.372313 data_time: 0.033588 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.816283 2023/08/08 12:09:00 - mmengine - INFO - Epoch(train) [26][270/529] lr: 5.000000e-04 eta: 9:45:20 time: 0.373830 data_time: 0.034007 memory: 4565 loss: 0.001027 loss_kpt: 0.001027 acc_pose: 0.808621 2023/08/08 12:09:04 - mmengine - INFO - Epoch(train) [26][280/529] lr: 5.000000e-04 eta: 9:45:17 time: 0.372071 data_time: 0.034918 memory: 4565 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.741281 2023/08/08 12:09:08 - mmengine - INFO - Epoch(train) [26][290/529] lr: 5.000000e-04 eta: 9:45:13 time: 0.369254 data_time: 0.035128 memory: 4565 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.881684 2023/08/08 12:09:11 - mmengine - INFO - Epoch(train) [26][300/529] lr: 5.000000e-04 eta: 9:45:11 time: 0.367543 data_time: 0.035055 memory: 4565 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.855645 2023/08/08 12:09:15 - mmengine - INFO - Epoch(train) [26][310/529] lr: 5.000000e-04 eta: 9:45:10 time: 0.372858 data_time: 0.035050 memory: 4565 loss: 0.000979 loss_kpt: 0.000979 acc_pose: 0.770150 2023/08/08 12:09:19 - mmengine - INFO - Epoch(train) [26][320/529] lr: 5.000000e-04 eta: 9:45:08 time: 0.376394 data_time: 0.034769 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.788095 2023/08/08 12:09:23 - mmengine - INFO - Epoch(train) [26][330/529] lr: 5.000000e-04 eta: 9:45:08 time: 0.384534 data_time: 0.034266 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.781373 2023/08/08 12:09:27 - mmengine - INFO - Epoch(train) [26][340/529] lr: 5.000000e-04 eta: 9:45:07 time: 0.390873 data_time: 0.034580 memory: 4565 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.847308 2023/08/08 12:09:31 - mmengine - INFO - Epoch(train) [26][350/529] lr: 5.000000e-04 eta: 9:45:05 time: 0.393252 data_time: 0.034732 memory: 4565 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.853833 2023/08/08 12:09:35 - mmengine - INFO - Epoch(train) [26][360/529] lr: 5.000000e-04 eta: 9:45:01 time: 0.386487 data_time: 0.034094 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.751631 2023/08/08 12:09:38 - mmengine - INFO - Epoch(train) [26][370/529] lr: 5.000000e-04 eta: 9:44:58 time: 0.381107 data_time: 0.034090 memory: 4565 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.841859 2023/08/08 12:09:42 - mmengine - INFO - Epoch(train) [26][380/529] lr: 5.000000e-04 eta: 9:44:54 time: 0.371435 data_time: 0.033722 memory: 4565 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.759230 2023/08/08 12:09:45 - mmengine - INFO - Epoch(train) [26][390/529] lr: 5.000000e-04 eta: 9:44:51 time: 0.365843 data_time: 0.032643 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.827474 2023/08/08 12:09:49 - mmengine - INFO - Epoch(train) [26][400/529] lr: 5.000000e-04 eta: 9:44:46 time: 0.359132 data_time: 0.031732 memory: 4565 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.837767 2023/08/08 12:09:53 - mmengine - INFO - Epoch(train) [26][410/529] lr: 5.000000e-04 eta: 9:44:43 time: 0.358417 data_time: 0.031665 memory: 4565 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.843453 2023/08/08 12:09:56 - mmengine - INFO - Epoch(train) [26][420/529] lr: 5.000000e-04 eta: 9:44:40 time: 0.361540 data_time: 0.031316 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.811869 2023/08/08 12:10:00 - mmengine - INFO - Epoch(train) [26][430/529] lr: 5.000000e-04 eta: 9:44:37 time: 0.363761 data_time: 0.031520 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.841151 2023/08/08 12:10:04 - mmengine - INFO - Epoch(train) [26][440/529] lr: 5.000000e-04 eta: 9:44:34 time: 0.365057 data_time: 0.031677 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.834494 2023/08/08 12:10:07 - mmengine - INFO - Epoch(train) [26][450/529] lr: 5.000000e-04 eta: 9:44:30 time: 0.365352 data_time: 0.031708 memory: 4565 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.809463 2023/08/08 12:10:11 - mmengine - INFO - Epoch(train) [26][460/529] lr: 5.000000e-04 eta: 9:44:27 time: 0.366423 data_time: 0.032015 memory: 4565 loss: 0.001008 loss_kpt: 0.001008 acc_pose: 0.872668 2023/08/08 12:10:15 - mmengine - INFO - Epoch(train) [26][470/529] lr: 5.000000e-04 eta: 9:44:24 time: 0.363510 data_time: 0.032844 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.818565 2023/08/08 12:10:18 - mmengine - INFO - Epoch(train) [26][480/529] lr: 5.000000e-04 eta: 9:44:21 time: 0.365128 data_time: 0.033068 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.726044 2023/08/08 12:10:22 - mmengine - INFO - Epoch(train) [26][490/529] lr: 5.000000e-04 eta: 9:44:17 time: 0.362644 data_time: 0.033045 memory: 4565 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.792683 2023/08/08 12:10:25 - mmengine - INFO - Epoch(train) [26][500/529] lr: 5.000000e-04 eta: 9:44:14 time: 0.364957 data_time: 0.033203 memory: 4565 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.783458 2023/08/08 12:10:29 - mmengine - INFO - Epoch(train) [26][510/529] lr: 5.000000e-04 eta: 9:44:13 time: 0.371383 data_time: 0.033211 memory: 4565 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.783184 2023/08/08 12:10:33 - mmengine - INFO - Epoch(train) [26][520/529] lr: 5.000000e-04 eta: 9:44:12 time: 0.376835 data_time: 0.032761 memory: 4565 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.856850 2023/08/08 12:10:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:10:40 - mmengine - INFO - Epoch(train) [27][ 10/529] lr: 5.000000e-04 eta: 9:44:06 time: 0.377014 data_time: 0.036362 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.735940 2023/08/08 12:10:44 - mmengine - INFO - Epoch(train) [27][ 20/529] lr: 5.000000e-04 eta: 9:44:02 time: 0.375405 data_time: 0.036579 memory: 4565 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.802789 2023/08/08 12:10:48 - mmengine - INFO - Epoch(train) [27][ 30/529] lr: 5.000000e-04 eta: 9:43:59 time: 0.370285 data_time: 0.040678 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.817730 2023/08/08 12:10:51 - mmengine - INFO - Epoch(train) [27][ 40/529] lr: 5.000000e-04 eta: 9:43:54 time: 0.361872 data_time: 0.040309 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.878169 2023/08/08 12:10:55 - mmengine - INFO - Epoch(train) [27][ 50/529] lr: 5.000000e-04 eta: 9:43:50 time: 0.360666 data_time: 0.040170 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.802716 2023/08/08 12:10:58 - mmengine - INFO - Epoch(train) [27][ 60/529] lr: 5.000000e-04 eta: 9:43:46 time: 0.355441 data_time: 0.036555 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.864341 2023/08/08 12:11:02 - mmengine - INFO - Epoch(train) [27][ 70/529] lr: 5.000000e-04 eta: 9:43:44 time: 0.361758 data_time: 0.036587 memory: 4565 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.828903 2023/08/08 12:11:06 - mmengine - INFO - Epoch(train) [27][ 80/529] lr: 5.000000e-04 eta: 9:43:42 time: 0.363395 data_time: 0.032558 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.885362 2023/08/08 12:11:10 - mmengine - INFO - Epoch(train) [27][ 90/529] lr: 5.000000e-04 eta: 9:43:40 time: 0.371953 data_time: 0.032529 memory: 4565 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.819043 2023/08/08 12:11:13 - mmengine - INFO - Epoch(train) [27][100/529] lr: 5.000000e-04 eta: 9:43:36 time: 0.371658 data_time: 0.032244 memory: 4565 loss: 0.001019 loss_kpt: 0.001019 acc_pose: 0.813689 2023/08/08 12:11:17 - mmengine - INFO - Epoch(train) [27][110/529] lr: 5.000000e-04 eta: 9:43:32 time: 0.370413 data_time: 0.031973 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.826795 2023/08/08 12:11:20 - mmengine - INFO - Epoch(train) [27][120/529] lr: 5.000000e-04 eta: 9:43:27 time: 0.363152 data_time: 0.031812 memory: 4565 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.807895 2023/08/08 12:11:24 - mmengine - INFO - Epoch(train) [27][130/529] lr: 5.000000e-04 eta: 9:43:23 time: 0.358338 data_time: 0.032186 memory: 4565 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.742511 2023/08/08 12:11:27 - mmengine - INFO - Epoch(train) [27][140/529] lr: 5.000000e-04 eta: 9:43:19 time: 0.350383 data_time: 0.032620 memory: 4565 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.840265 2023/08/08 12:11:31 - mmengine - INFO - Epoch(train) [27][150/529] lr: 5.000000e-04 eta: 9:43:14 time: 0.348862 data_time: 0.032919 memory: 4565 loss: 0.001027 loss_kpt: 0.001027 acc_pose: 0.801322 2023/08/08 12:11:34 - mmengine - INFO - Epoch(train) [27][160/529] lr: 5.000000e-04 eta: 9:43:10 time: 0.348173 data_time: 0.032962 memory: 4565 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.799076 2023/08/08 12:11:38 - mmengine - INFO - Epoch(train) [27][170/529] lr: 5.000000e-04 eta: 9:43:05 time: 0.347471 data_time: 0.032868 memory: 4565 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.800051 2023/08/08 12:11:41 - mmengine - INFO - Epoch(train) [27][180/529] lr: 5.000000e-04 eta: 9:43:02 time: 0.350324 data_time: 0.033476 memory: 4565 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.828480 2023/08/08 12:11:45 - mmengine - INFO - Epoch(train) [27][190/529] lr: 5.000000e-04 eta: 9:42:57 time: 0.349798 data_time: 0.033073 memory: 4565 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.793498 2023/08/08 12:11:49 - mmengine - INFO - Epoch(train) [27][200/529] lr: 5.000000e-04 eta: 9:42:56 time: 0.359213 data_time: 0.037800 memory: 4565 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.873236 2023/08/08 12:11:52 - mmengine - INFO - Epoch(train) [27][210/529] lr: 5.000000e-04 eta: 9:42:52 time: 0.362181 data_time: 0.038624 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.833585 2023/08/08 12:11:56 - mmengine - INFO - Epoch(train) [27][220/529] lr: 5.000000e-04 eta: 9:42:50 time: 0.367692 data_time: 0.038530 memory: 4565 loss: 0.001001 loss_kpt: 0.001001 acc_pose: 0.825133 2023/08/08 12:11:59 - mmengine - INFO - Epoch(train) [27][230/529] lr: 5.000000e-04 eta: 9:42:46 time: 0.365853 data_time: 0.037129 memory: 4565 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.875420 2023/08/08 12:12:03 - mmengine - INFO - Epoch(train) [27][240/529] lr: 5.000000e-04 eta: 9:42:42 time: 0.366509 data_time: 0.037156 memory: 4565 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.858343 2023/08/08 12:12:05 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:12:07 - mmengine - INFO - Epoch(train) [27][250/529] lr: 5.000000e-04 eta: 9:42:38 time: 0.358507 data_time: 0.032613 memory: 4565 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.845089 2023/08/08 12:12:10 - mmengine - INFO - Epoch(train) [27][260/529] lr: 5.000000e-04 eta: 9:42:35 time: 0.361072 data_time: 0.032156 memory: 4565 loss: 0.001006 loss_kpt: 0.001006 acc_pose: 0.826161 2023/08/08 12:12:14 - mmengine - INFO - Epoch(train) [27][270/529] lr: 5.000000e-04 eta: 9:42:31 time: 0.357994 data_time: 0.032419 memory: 4565 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.835728 2023/08/08 12:12:17 - mmengine - INFO - Epoch(train) [27][280/529] lr: 5.000000e-04 eta: 9:42:27 time: 0.357880 data_time: 0.032769 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.864367 2023/08/08 12:12:21 - mmengine - INFO - Epoch(train) [27][290/529] lr: 5.000000e-04 eta: 9:42:23 time: 0.357896 data_time: 0.033529 memory: 4565 loss: 0.000989 loss_kpt: 0.000989 acc_pose: 0.783866 2023/08/08 12:12:25 - mmengine - INFO - Epoch(train) [27][300/529] lr: 5.000000e-04 eta: 9:42:19 time: 0.359660 data_time: 0.033743 memory: 4565 loss: 0.001008 loss_kpt: 0.001008 acc_pose: 0.785469 2023/08/08 12:12:28 - mmengine - INFO - Epoch(train) [27][310/529] lr: 5.000000e-04 eta: 9:42:16 time: 0.357360 data_time: 0.033447 memory: 4565 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.807533 2023/08/08 12:12:32 - mmengine - INFO - Epoch(train) [27][320/529] lr: 5.000000e-04 eta: 9:42:13 time: 0.360295 data_time: 0.033584 memory: 4565 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.861563 2023/08/08 12:12:35 - mmengine - INFO - Epoch(train) [27][330/529] lr: 5.000000e-04 eta: 9:42:09 time: 0.360664 data_time: 0.033134 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.796483 2023/08/08 12:12:39 - mmengine - INFO - Epoch(train) [27][340/529] lr: 5.000000e-04 eta: 9:42:05 time: 0.360393 data_time: 0.032247 memory: 4565 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.828652 2023/08/08 12:12:42 - mmengine - INFO - Epoch(train) [27][350/529] lr: 5.000000e-04 eta: 9:42:01 time: 0.358846 data_time: 0.031628 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.832268 2023/08/08 12:12:46 - mmengine - INFO - Epoch(train) [27][360/529] lr: 5.000000e-04 eta: 9:41:58 time: 0.359831 data_time: 0.031403 memory: 4565 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.870180 2023/08/08 12:12:50 - mmengine - INFO - Epoch(train) [27][370/529] lr: 5.000000e-04 eta: 9:41:55 time: 0.360319 data_time: 0.030979 memory: 4565 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.854923 2023/08/08 12:12:53 - mmengine - INFO - Epoch(train) [27][380/529] lr: 5.000000e-04 eta: 9:41:51 time: 0.361167 data_time: 0.031377 memory: 4565 loss: 0.001014 loss_kpt: 0.001014 acc_pose: 0.847712 2023/08/08 12:12:57 - mmengine - INFO - Epoch(train) [27][390/529] lr: 5.000000e-04 eta: 9:41:47 time: 0.360672 data_time: 0.031510 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.826256 2023/08/08 12:13:01 - mmengine - INFO - Epoch(train) [27][400/529] lr: 5.000000e-04 eta: 9:41:43 time: 0.360752 data_time: 0.031657 memory: 4565 loss: 0.001016 loss_kpt: 0.001016 acc_pose: 0.805581 2023/08/08 12:13:04 - mmengine - INFO - Epoch(train) [27][410/529] lr: 5.000000e-04 eta: 9:41:41 time: 0.362479 data_time: 0.035151 memory: 4565 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.818785 2023/08/08 12:13:08 - mmengine - INFO - Epoch(train) [27][420/529] lr: 5.000000e-04 eta: 9:41:37 time: 0.359538 data_time: 0.035197 memory: 4565 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.776130 2023/08/08 12:13:11 - mmengine - INFO - Epoch(train) [27][430/529] lr: 5.000000e-04 eta: 9:41:33 time: 0.358063 data_time: 0.034878 memory: 4565 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.785590 2023/08/08 12:13:15 - mmengine - INFO - Epoch(train) [27][440/529] lr: 5.000000e-04 eta: 9:41:30 time: 0.361291 data_time: 0.035061 memory: 4565 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.840308 2023/08/08 12:13:19 - mmengine - INFO - Epoch(train) [27][450/529] lr: 5.000000e-04 eta: 9:41:27 time: 0.366296 data_time: 0.035194 memory: 4565 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.775950 2023/08/08 12:13:23 - mmengine - INFO - Epoch(train) [27][460/529] lr: 5.000000e-04 eta: 9:41:24 time: 0.365533 data_time: 0.032325 memory: 4565 loss: 0.001027 loss_kpt: 0.001027 acc_pose: 0.849579 2023/08/08 12:13:26 - mmengine - INFO - Epoch(train) [27][470/529] lr: 5.000000e-04 eta: 9:41:21 time: 0.365279 data_time: 0.032837 memory: 4565 loss: 0.001036 loss_kpt: 0.001036 acc_pose: 0.800536 2023/08/08 12:13:30 - mmengine - INFO - Epoch(train) [27][480/529] lr: 5.000000e-04 eta: 9:41:16 time: 0.365059 data_time: 0.032754 memory: 4565 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.788956 2023/08/08 12:13:33 - mmengine - INFO - Epoch(train) [27][490/529] lr: 5.000000e-04 eta: 9:41:12 time: 0.362171 data_time: 0.032722 memory: 4565 loss: 0.001036 loss_kpt: 0.001036 acc_pose: 0.799088 2023/08/08 12:13:37 - mmengine - INFO - Epoch(train) [27][500/529] lr: 5.000000e-04 eta: 9:41:09 time: 0.360365 data_time: 0.032884 memory: 4565 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.836457 2023/08/08 12:13:40 - mmengine - INFO - Epoch(train) [27][510/529] lr: 5.000000e-04 eta: 9:41:06 time: 0.358134 data_time: 0.032125 memory: 4565 loss: 0.001012 loss_kpt: 0.001012 acc_pose: 0.792871 2023/08/08 12:13:44 - mmengine - INFO - Epoch(train) [27][520/529] lr: 5.000000e-04 eta: 9:41:03 time: 0.362163 data_time: 0.031564 memory: 4565 loss: 0.001008 loss_kpt: 0.001008 acc_pose: 0.875581 2023/08/08 12:13:47 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:13:51 - mmengine - INFO - Epoch(train) [28][ 10/529] lr: 5.000000e-04 eta: 9:40:59 time: 0.370912 data_time: 0.035630 memory: 4565 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.812991 2023/08/08 12:13:55 - mmengine - INFO - Epoch(train) [28][ 20/529] lr: 5.000000e-04 eta: 9:40:57 time: 0.373710 data_time: 0.035589 memory: 4565 loss: 0.001003 loss_kpt: 0.001003 acc_pose: 0.820720 2023/08/08 12:13:59 - mmengine - INFO - Epoch(train) [28][ 30/529] lr: 5.000000e-04 eta: 9:40:54 time: 0.376891 data_time: 0.036626 memory: 4565 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.809650 2023/08/08 12:14:02 - mmengine - INFO - Epoch(train) [28][ 40/529] lr: 5.000000e-04 eta: 9:40:50 time: 0.371949 data_time: 0.036737 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.867021 2023/08/08 12:14:06 - mmengine - INFO - Epoch(train) [28][ 50/529] lr: 5.000000e-04 eta: 9:40:46 time: 0.371142 data_time: 0.037059 memory: 4565 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.842870 2023/08/08 12:14:10 - mmengine - INFO - Epoch(train) [28][ 60/529] lr: 5.000000e-04 eta: 9:40:42 time: 0.363264 data_time: 0.032554 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.777543 2023/08/08 12:14:13 - mmengine - INFO - Epoch(train) [28][ 70/529] lr: 5.000000e-04 eta: 9:40:38 time: 0.357340 data_time: 0.032313 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.811276 2023/08/08 12:14:17 - mmengine - INFO - Epoch(train) [28][ 80/529] lr: 5.000000e-04 eta: 9:40:34 time: 0.354135 data_time: 0.031662 memory: 4565 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.769194 2023/08/08 12:14:21 - mmengine - INFO - Epoch(train) [28][ 90/529] lr: 5.000000e-04 eta: 9:40:33 time: 0.363366 data_time: 0.032148 memory: 4565 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.767436 2023/08/08 12:14:24 - mmengine - INFO - Epoch(train) [28][100/529] lr: 5.000000e-04 eta: 9:40:29 time: 0.363801 data_time: 0.032160 memory: 4565 loss: 0.001014 loss_kpt: 0.001014 acc_pose: 0.853850 2023/08/08 12:14:28 - mmengine - INFO - Epoch(train) [28][110/529] lr: 5.000000e-04 eta: 9:40:25 time: 0.363546 data_time: 0.032317 memory: 4565 loss: 0.001003 loss_kpt: 0.001003 acc_pose: 0.781576 2023/08/08 12:14:31 - mmengine - INFO - Epoch(train) [28][120/529] lr: 5.000000e-04 eta: 9:40:21 time: 0.362861 data_time: 0.032202 memory: 4565 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.848461 2023/08/08 12:14:35 - mmengine - INFO - Epoch(train) [28][130/529] lr: 5.000000e-04 eta: 9:40:16 time: 0.361962 data_time: 0.032171 memory: 4565 loss: 0.000998 loss_kpt: 0.000998 acc_pose: 0.843033 2023/08/08 12:14:38 - mmengine - INFO - Epoch(train) [28][140/529] lr: 5.000000e-04 eta: 9:40:12 time: 0.352683 data_time: 0.031932 memory: 4565 loss: 0.000975 loss_kpt: 0.000975 acc_pose: 0.901284 2023/08/08 12:14:42 - mmengine - INFO - Epoch(train) [28][150/529] lr: 5.000000e-04 eta: 9:40:10 time: 0.357674 data_time: 0.032053 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.764566 2023/08/08 12:14:46 - mmengine - INFO - Epoch(train) [28][160/529] lr: 5.000000e-04 eta: 9:40:06 time: 0.358536 data_time: 0.032007 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.857154 2023/08/08 12:14:49 - mmengine - INFO - Epoch(train) [28][170/529] lr: 5.000000e-04 eta: 9:40:02 time: 0.359436 data_time: 0.032010 memory: 4565 loss: 0.000971 loss_kpt: 0.000971 acc_pose: 0.879918 2023/08/08 12:14:53 - mmengine - INFO - Epoch(train) [28][180/529] lr: 5.000000e-04 eta: 9:39:58 time: 0.360102 data_time: 0.031668 memory: 4565 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.765360 2023/08/08 12:14:56 - mmengine - INFO - Epoch(train) [28][190/529] lr: 5.000000e-04 eta: 9:39:55 time: 0.362320 data_time: 0.031786 memory: 4565 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.805199 2023/08/08 12:15:00 - mmengine - INFO - Epoch(train) [28][200/529] lr: 5.000000e-04 eta: 9:39:53 time: 0.364218 data_time: 0.032970 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.871786 2023/08/08 12:15:04 - mmengine - INFO - Epoch(train) [28][210/529] lr: 5.000000e-04 eta: 9:39:50 time: 0.366631 data_time: 0.033297 memory: 4565 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.777804 2023/08/08 12:15:08 - mmengine - INFO - Epoch(train) [28][220/529] lr: 5.000000e-04 eta: 9:39:47 time: 0.367238 data_time: 0.033773 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.816088 2023/08/08 12:15:11 - mmengine - INFO - Epoch(train) [28][230/529] lr: 5.000000e-04 eta: 9:39:43 time: 0.367819 data_time: 0.034125 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.854095 2023/08/08 12:15:15 - mmengine - INFO - Epoch(train) [28][240/529] lr: 5.000000e-04 eta: 9:39:39 time: 0.365386 data_time: 0.033600 memory: 4565 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.804675 2023/08/08 12:15:18 - mmengine - INFO - Epoch(train) [28][250/529] lr: 5.000000e-04 eta: 9:39:35 time: 0.358701 data_time: 0.032434 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.793176 2023/08/08 12:15:22 - mmengine - INFO - Epoch(train) [28][260/529] lr: 5.000000e-04 eta: 9:39:31 time: 0.356048 data_time: 0.032107 memory: 4565 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.855907 2023/08/08 12:15:25 - mmengine - INFO - Epoch(train) [28][270/529] lr: 5.000000e-04 eta: 9:39:28 time: 0.357864 data_time: 0.032091 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.864184 2023/08/08 12:15:29 - mmengine - INFO - Epoch(train) [28][280/529] lr: 5.000000e-04 eta: 9:39:24 time: 0.357941 data_time: 0.031809 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.806823 2023/08/08 12:15:33 - mmengine - INFO - Epoch(train) [28][290/529] lr: 5.000000e-04 eta: 9:39:21 time: 0.361700 data_time: 0.031869 memory: 4565 loss: 0.001019 loss_kpt: 0.001019 acc_pose: 0.841245 2023/08/08 12:15:36 - mmengine - INFO - Epoch(train) [28][300/529] lr: 5.000000e-04 eta: 9:39:17 time: 0.361185 data_time: 0.031984 memory: 4565 loss: 0.001033 loss_kpt: 0.001033 acc_pose: 0.793046 2023/08/08 12:15:40 - mmengine - INFO - Epoch(train) [28][310/529] lr: 5.000000e-04 eta: 9:39:13 time: 0.361792 data_time: 0.032281 memory: 4565 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.862083 2023/08/08 12:15:44 - mmengine - INFO - Epoch(train) [28][320/529] lr: 5.000000e-04 eta: 9:39:10 time: 0.361577 data_time: 0.032484 memory: 4565 loss: 0.001014 loss_kpt: 0.001014 acc_pose: 0.845602 2023/08/08 12:15:47 - mmengine - INFO - Epoch(train) [28][330/529] lr: 5.000000e-04 eta: 9:39:07 time: 0.362099 data_time: 0.033025 memory: 4565 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.772238 2023/08/08 12:15:51 - mmengine - INFO - Epoch(train) [28][340/529] lr: 5.000000e-04 eta: 9:39:03 time: 0.358109 data_time: 0.033657 memory: 4565 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.817835 2023/08/08 12:15:54 - mmengine - INFO - Epoch(train) [28][350/529] lr: 5.000000e-04 eta: 9:39:00 time: 0.361093 data_time: 0.037863 memory: 4565 loss: 0.001019 loss_kpt: 0.001019 acc_pose: 0.793963 2023/08/08 12:15:58 - mmengine - INFO - Epoch(train) [28][360/529] lr: 5.000000e-04 eta: 9:38:55 time: 0.359651 data_time: 0.038319 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.721116 2023/08/08 12:16:01 - mmengine - INFO - Epoch(train) [28][370/529] lr: 5.000000e-04 eta: 9:38:51 time: 0.356650 data_time: 0.038043 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.830674 2023/08/08 12:16:05 - mmengine - INFO - Epoch(train) [28][380/529] lr: 5.000000e-04 eta: 9:38:47 time: 0.354702 data_time: 0.037483 memory: 4565 loss: 0.001014 loss_kpt: 0.001014 acc_pose: 0.820152 2023/08/08 12:16:09 - mmengine - INFO - Epoch(train) [28][390/529] lr: 5.000000e-04 eta: 9:38:44 time: 0.357081 data_time: 0.036994 memory: 4565 loss: 0.001013 loss_kpt: 0.001013 acc_pose: 0.801441 2023/08/08 12:16:12 - mmengine - INFO - Epoch(train) [28][400/529] lr: 5.000000e-04 eta: 9:38:40 time: 0.354892 data_time: 0.032949 memory: 4565 loss: 0.001012 loss_kpt: 0.001012 acc_pose: 0.825781 2023/08/08 12:16:16 - mmengine - INFO - Epoch(train) [28][410/529] lr: 5.000000e-04 eta: 9:38:36 time: 0.354898 data_time: 0.032141 memory: 4565 loss: 0.001019 loss_kpt: 0.001019 acc_pose: 0.783889 2023/08/08 12:16:19 - mmengine - INFO - Epoch(train) [28][420/529] lr: 5.000000e-04 eta: 9:38:32 time: 0.357451 data_time: 0.031683 memory: 4565 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.754071 2023/08/08 12:16:23 - mmengine - INFO - Epoch(train) [28][430/529] lr: 5.000000e-04 eta: 9:38:28 time: 0.357089 data_time: 0.031667 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.824320 2023/08/08 12:16:26 - mmengine - INFO - Epoch(train) [28][440/529] lr: 5.000000e-04 eta: 9:38:24 time: 0.354774 data_time: 0.031525 memory: 4565 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.821511 2023/08/08 12:16:30 - mmengine - INFO - Epoch(train) [28][450/529] lr: 5.000000e-04 eta: 9:38:20 time: 0.355558 data_time: 0.031417 memory: 4565 loss: 0.001001 loss_kpt: 0.001001 acc_pose: 0.883212 2023/08/08 12:16:34 - mmengine - INFO - Epoch(train) [28][460/529] lr: 5.000000e-04 eta: 9:38:17 time: 0.357970 data_time: 0.031411 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.849476 2023/08/08 12:16:37 - mmengine - INFO - Epoch(train) [28][470/529] lr: 5.000000e-04 eta: 9:38:13 time: 0.356234 data_time: 0.031445 memory: 4565 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.790575 2023/08/08 12:16:41 - mmengine - INFO - Epoch(train) [28][480/529] lr: 5.000000e-04 eta: 9:38:09 time: 0.356170 data_time: 0.031311 memory: 4565 loss: 0.000979 loss_kpt: 0.000979 acc_pose: 0.794026 2023/08/08 12:16:44 - mmengine - INFO - Epoch(train) [28][490/529] lr: 5.000000e-04 eta: 9:38:05 time: 0.356209 data_time: 0.031223 memory: 4565 loss: 0.000980 loss_kpt: 0.000980 acc_pose: 0.825269 2023/08/08 12:16:48 - mmengine - INFO - Epoch(train) [28][500/529] lr: 5.000000e-04 eta: 9:38:00 time: 0.354204 data_time: 0.030863 memory: 4565 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.858454 2023/08/08 12:16:51 - mmengine - INFO - Epoch(train) [28][510/529] lr: 5.000000e-04 eta: 9:37:57 time: 0.352909 data_time: 0.031445 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.762092 2023/08/08 12:16:55 - mmengine - INFO - Epoch(train) [28][520/529] lr: 5.000000e-04 eta: 9:37:52 time: 0.352154 data_time: 0.031901 memory: 4565 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.871953 2023/08/08 12:16:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:17:02 - mmengine - INFO - Epoch(train) [29][ 10/529] lr: 5.000000e-04 eta: 9:37:45 time: 0.354474 data_time: 0.036241 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.863493 2023/08/08 12:17:05 - mmengine - INFO - Epoch(train) [29][ 20/529] lr: 5.000000e-04 eta: 9:37:42 time: 0.358065 data_time: 0.039833 memory: 4565 loss: 0.000971 loss_kpt: 0.000971 acc_pose: 0.755700 2023/08/08 12:17:09 - mmengine - INFO - Epoch(train) [29][ 30/529] lr: 5.000000e-04 eta: 9:37:39 time: 0.360190 data_time: 0.039531 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.834518 2023/08/08 12:17:12 - mmengine - INFO - Epoch(train) [29][ 40/529] lr: 5.000000e-04 eta: 9:37:35 time: 0.360661 data_time: 0.039632 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.832327 2023/08/08 12:17:16 - mmengine - INFO - Epoch(train) [29][ 50/529] lr: 5.000000e-04 eta: 9:37:31 time: 0.362818 data_time: 0.039477 memory: 4565 loss: 0.000980 loss_kpt: 0.000980 acc_pose: 0.798944 2023/08/08 12:17:19 - mmengine - INFO - Epoch(train) [29][ 60/529] lr: 5.000000e-04 eta: 9:37:27 time: 0.359073 data_time: 0.035223 memory: 4565 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.859534 2023/08/08 12:17:23 - mmengine - INFO - Epoch(train) [29][ 70/529] lr: 5.000000e-04 eta: 9:37:23 time: 0.355494 data_time: 0.031518 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.841629 2023/08/08 12:17:26 - mmengine - INFO - Epoch(train) [29][ 80/529] lr: 5.000000e-04 eta: 9:37:19 time: 0.352596 data_time: 0.031121 memory: 4565 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.767323 2023/08/08 12:17:30 - mmengine - INFO - Epoch(train) [29][ 90/529] lr: 5.000000e-04 eta: 9:37:14 time: 0.352113 data_time: 0.030549 memory: 4565 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.737615 2023/08/08 12:17:34 - mmengine - INFO - Epoch(train) [29][100/529] lr: 5.000000e-04 eta: 9:37:12 time: 0.355356 data_time: 0.031044 memory: 4565 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.804423 2023/08/08 12:17:37 - mmengine - INFO - Epoch(train) [29][110/529] lr: 5.000000e-04 eta: 9:37:08 time: 0.357192 data_time: 0.031800 memory: 4565 loss: 0.001006 loss_kpt: 0.001006 acc_pose: 0.831608 2023/08/08 12:17:41 - mmengine - INFO - Epoch(train) [29][120/529] lr: 5.000000e-04 eta: 9:37:04 time: 0.357512 data_time: 0.032199 memory: 4565 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.844036 2023/08/08 12:17:44 - mmengine - INFO - Epoch(train) [29][130/529] lr: 5.000000e-04 eta: 9:37:00 time: 0.357457 data_time: 0.032383 memory: 4565 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.860036 2023/08/08 12:17:48 - mmengine - INFO - Epoch(train) [29][140/529] lr: 5.000000e-04 eta: 9:36:55 time: 0.356860 data_time: 0.032401 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.806485 2023/08/08 12:17:51 - mmengine - INFO - Epoch(train) [29][150/529] lr: 5.000000e-04 eta: 9:36:52 time: 0.353685 data_time: 0.031857 memory: 4565 loss: 0.000971 loss_kpt: 0.000971 acc_pose: 0.851607 2023/08/08 12:17:55 - mmengine - INFO - Epoch(train) [29][160/529] lr: 5.000000e-04 eta: 9:36:48 time: 0.352632 data_time: 0.031215 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.864978 2023/08/08 12:17:59 - mmengine - INFO - Epoch(train) [29][170/529] lr: 5.000000e-04 eta: 9:36:47 time: 0.362722 data_time: 0.034528 memory: 4565 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.818526 2023/08/08 12:18:03 - mmengine - INFO - Epoch(train) [29][180/529] lr: 5.000000e-04 eta: 9:36:45 time: 0.371563 data_time: 0.034596 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.855184 2023/08/08 12:18:06 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:18:07 - mmengine - INFO - Epoch(train) [29][190/529] lr: 5.000000e-04 eta: 9:36:44 time: 0.380375 data_time: 0.035333 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.856840 2023/08/08 12:18:11 - mmengine - INFO - Epoch(train) [29][200/529] lr: 5.000000e-04 eta: 9:36:43 time: 0.390609 data_time: 0.035713 memory: 4565 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.810483 2023/08/08 12:18:15 - mmengine - INFO - Epoch(train) [29][210/529] lr: 5.000000e-04 eta: 9:36:39 time: 0.390963 data_time: 0.035751 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.768943 2023/08/08 12:18:18 - mmengine - INFO - Epoch(train) [29][220/529] lr: 5.000000e-04 eta: 9:36:36 time: 0.381881 data_time: 0.032356 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.835531 2023/08/08 12:18:22 - mmengine - INFO - Epoch(train) [29][230/529] lr: 5.000000e-04 eta: 9:36:32 time: 0.373969 data_time: 0.032281 memory: 4565 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.833813 2023/08/08 12:18:25 - mmengine - INFO - Epoch(train) [29][240/529] lr: 5.000000e-04 eta: 9:36:28 time: 0.366082 data_time: 0.031883 memory: 4565 loss: 0.000954 loss_kpt: 0.000954 acc_pose: 0.798817 2023/08/08 12:18:29 - mmengine - INFO - Epoch(train) [29][250/529] lr: 5.000000e-04 eta: 9:36:24 time: 0.356621 data_time: 0.031682 memory: 4565 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.884295 2023/08/08 12:18:32 - mmengine - INFO - Epoch(train) [29][260/529] lr: 5.000000e-04 eta: 9:36:21 time: 0.357191 data_time: 0.032125 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.814542 2023/08/08 12:18:36 - mmengine - INFO - Epoch(train) [29][270/529] lr: 5.000000e-04 eta: 9:36:17 time: 0.357677 data_time: 0.033531 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.871065 2023/08/08 12:18:39 - mmengine - INFO - Epoch(train) [29][280/529] lr: 5.000000e-04 eta: 9:36:13 time: 0.357359 data_time: 0.033789 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.879513 2023/08/08 12:18:43 - mmengine - INFO - Epoch(train) [29][290/529] lr: 5.000000e-04 eta: 9:36:09 time: 0.356160 data_time: 0.033586 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.831886 2023/08/08 12:18:46 - mmengine - INFO - Epoch(train) [29][300/529] lr: 5.000000e-04 eta: 9:36:04 time: 0.353215 data_time: 0.033896 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.828271 2023/08/08 12:18:50 - mmengine - INFO - Epoch(train) [29][310/529] lr: 5.000000e-04 eta: 9:35:59 time: 0.349712 data_time: 0.033488 memory: 4565 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.828591 2023/08/08 12:18:54 - mmengine - INFO - Epoch(train) [29][320/529] lr: 5.000000e-04 eta: 9:35:56 time: 0.352294 data_time: 0.031836 memory: 4565 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.865913 2023/08/08 12:18:57 - mmengine - INFO - Epoch(train) [29][330/529] lr: 5.000000e-04 eta: 9:35:52 time: 0.350912 data_time: 0.031535 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.914030 2023/08/08 12:19:01 - mmengine - INFO - Epoch(train) [29][340/529] lr: 5.000000e-04 eta: 9:35:48 time: 0.350747 data_time: 0.031649 memory: 4565 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.803502 2023/08/08 12:19:04 - mmengine - INFO - Epoch(train) [29][350/529] lr: 5.000000e-04 eta: 9:35:44 time: 0.355116 data_time: 0.032442 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.877849 2023/08/08 12:19:08 - mmengine - INFO - Epoch(train) [29][360/529] lr: 5.000000e-04 eta: 9:35:40 time: 0.355773 data_time: 0.032867 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.805390 2023/08/08 12:19:11 - mmengine - INFO - Epoch(train) [29][370/529] lr: 5.000000e-04 eta: 9:35:35 time: 0.350738 data_time: 0.033411 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.822804 2023/08/08 12:19:15 - mmengine - INFO - Epoch(train) [29][380/529] lr: 5.000000e-04 eta: 9:35:31 time: 0.352040 data_time: 0.033501 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.780161 2023/08/08 12:19:18 - mmengine - INFO - Epoch(train) [29][390/529] lr: 5.000000e-04 eta: 9:35:28 time: 0.354899 data_time: 0.034206 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.828080 2023/08/08 12:19:22 - mmengine - INFO - Epoch(train) [29][400/529] lr: 5.000000e-04 eta: 9:35:24 time: 0.351242 data_time: 0.033724 memory: 4565 loss: 0.001003 loss_kpt: 0.001003 acc_pose: 0.832559 2023/08/08 12:19:25 - mmengine - INFO - Epoch(train) [29][410/529] lr: 5.000000e-04 eta: 9:35:19 time: 0.351652 data_time: 0.033685 memory: 4565 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.803327 2023/08/08 12:19:29 - mmengine - INFO - Epoch(train) [29][420/529] lr: 5.000000e-04 eta: 9:35:16 time: 0.354139 data_time: 0.033139 memory: 4565 loss: 0.001019 loss_kpt: 0.001019 acc_pose: 0.742723 2023/08/08 12:19:32 - mmengine - INFO - Epoch(train) [29][430/529] lr: 5.000000e-04 eta: 9:35:11 time: 0.352374 data_time: 0.033009 memory: 4565 loss: 0.001012 loss_kpt: 0.001012 acc_pose: 0.796961 2023/08/08 12:19:36 - mmengine - INFO - Epoch(train) [29][440/529] lr: 5.000000e-04 eta: 9:35:07 time: 0.349448 data_time: 0.032039 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.834986 2023/08/08 12:19:39 - mmengine - INFO - Epoch(train) [29][450/529] lr: 5.000000e-04 eta: 9:35:02 time: 0.348864 data_time: 0.031300 memory: 4565 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.875893 2023/08/08 12:19:43 - mmengine - INFO - Epoch(train) [29][460/529] lr: 5.000000e-04 eta: 9:34:57 time: 0.347980 data_time: 0.030855 memory: 4565 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.799190 2023/08/08 12:19:46 - mmengine - INFO - Epoch(train) [29][470/529] lr: 5.000000e-04 eta: 9:34:55 time: 0.351025 data_time: 0.031449 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.780946 2023/08/08 12:19:50 - mmengine - INFO - Epoch(train) [29][480/529] lr: 5.000000e-04 eta: 9:34:50 time: 0.351925 data_time: 0.032236 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.831454 2023/08/08 12:19:53 - mmengine - INFO - Epoch(train) [29][490/529] lr: 5.000000e-04 eta: 9:34:47 time: 0.353623 data_time: 0.032613 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.831352 2023/08/08 12:19:57 - mmengine - INFO - Epoch(train) [29][500/529] lr: 5.000000e-04 eta: 9:34:42 time: 0.354887 data_time: 0.032628 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.842137 2023/08/08 12:20:00 - mmengine - INFO - Epoch(train) [29][510/529] lr: 5.000000e-04 eta: 9:34:38 time: 0.356728 data_time: 0.032766 memory: 4565 loss: 0.001006 loss_kpt: 0.001006 acc_pose: 0.809551 2023/08/08 12:20:04 - mmengine - INFO - Epoch(train) [29][520/529] lr: 5.000000e-04 eta: 9:34:35 time: 0.353003 data_time: 0.032374 memory: 4565 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.823675 2023/08/08 12:20:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:20:11 - mmengine - INFO - Epoch(train) [30][ 10/529] lr: 5.000000e-04 eta: 9:34:29 time: 0.360094 data_time: 0.036011 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.857086 2023/08/08 12:20:15 - mmengine - INFO - Epoch(train) [30][ 20/529] lr: 5.000000e-04 eta: 9:34:25 time: 0.360706 data_time: 0.036146 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.805609 2023/08/08 12:20:18 - mmengine - INFO - Epoch(train) [30][ 30/529] lr: 5.000000e-04 eta: 9:34:21 time: 0.360892 data_time: 0.036080 memory: 4565 loss: 0.000980 loss_kpt: 0.000980 acc_pose: 0.746487 2023/08/08 12:20:22 - mmengine - INFO - Epoch(train) [30][ 40/529] lr: 5.000000e-04 eta: 9:34:17 time: 0.361659 data_time: 0.036140 memory: 4565 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.825452 2023/08/08 12:20:25 - mmengine - INFO - Epoch(train) [30][ 50/529] lr: 5.000000e-04 eta: 9:34:14 time: 0.362291 data_time: 0.036195 memory: 4565 loss: 0.001001 loss_kpt: 0.001001 acc_pose: 0.755377 2023/08/08 12:20:29 - mmengine - INFO - Epoch(train) [30][ 60/529] lr: 5.000000e-04 eta: 9:34:10 time: 0.358061 data_time: 0.031979 memory: 4565 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.765529 2023/08/08 12:20:33 - mmengine - INFO - Epoch(train) [30][ 70/529] lr: 5.000000e-04 eta: 9:34:07 time: 0.360621 data_time: 0.031902 memory: 4565 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.833021 2023/08/08 12:20:36 - mmengine - INFO - Epoch(train) [30][ 80/529] lr: 5.000000e-04 eta: 9:34:03 time: 0.360686 data_time: 0.031856 memory: 4565 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.846952 2023/08/08 12:20:40 - mmengine - INFO - Epoch(train) [30][ 90/529] lr: 5.000000e-04 eta: 9:33:59 time: 0.359756 data_time: 0.031753 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.875757 2023/08/08 12:20:43 - mmengine - INFO - Epoch(train) [30][100/529] lr: 5.000000e-04 eta: 9:33:55 time: 0.358152 data_time: 0.031711 memory: 4565 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.818139 2023/08/08 12:20:47 - mmengine - INFO - Epoch(train) [30][110/529] lr: 5.000000e-04 eta: 9:33:51 time: 0.356589 data_time: 0.031372 memory: 4565 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.857462 2023/08/08 12:20:50 - mmengine - INFO - Epoch(train) [30][120/529] lr: 5.000000e-04 eta: 9:33:48 time: 0.355590 data_time: 0.031362 memory: 4565 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.864261 2023/08/08 12:20:54 - mmengine - INFO - Epoch(train) [30][130/529] lr: 5.000000e-04 eta: 9:33:46 time: 0.361150 data_time: 0.035813 memory: 4565 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.796170 2023/08/08 12:20:58 - mmengine - INFO - Epoch(train) [30][140/529] lr: 5.000000e-04 eta: 9:33:42 time: 0.361175 data_time: 0.035943 memory: 4565 loss: 0.000998 loss_kpt: 0.000998 acc_pose: 0.889667 2023/08/08 12:21:01 - mmengine - INFO - Epoch(train) [30][150/529] lr: 5.000000e-04 eta: 9:33:37 time: 0.360699 data_time: 0.035741 memory: 4565 loss: 0.000998 loss_kpt: 0.000998 acc_pose: 0.849365 2023/08/08 12:21:05 - mmengine - INFO - Epoch(train) [30][160/529] lr: 5.000000e-04 eta: 9:33:33 time: 0.360205 data_time: 0.035693 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.799374 2023/08/08 12:21:08 - mmengine - INFO - Epoch(train) [30][170/529] lr: 5.000000e-04 eta: 9:33:29 time: 0.358182 data_time: 0.035588 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.804434 2023/08/08 12:21:12 - mmengine - INFO - Epoch(train) [30][180/529] lr: 5.000000e-04 eta: 9:33:26 time: 0.353856 data_time: 0.031272 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.835238 2023/08/08 12:21:16 - mmengine - INFO - Epoch(train) [30][190/529] lr: 5.000000e-04 eta: 9:33:22 time: 0.355382 data_time: 0.031527 memory: 4565 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.823194 2023/08/08 12:21:19 - mmengine - INFO - Epoch(train) [30][200/529] lr: 5.000000e-04 eta: 9:33:18 time: 0.357030 data_time: 0.032189 memory: 4565 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.870338 2023/08/08 12:21:23 - mmengine - INFO - Epoch(train) [30][210/529] lr: 5.000000e-04 eta: 9:33:14 time: 0.356929 data_time: 0.032188 memory: 4565 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.805778 2023/08/08 12:21:26 - mmengine - INFO - Epoch(train) [30][220/529] lr: 5.000000e-04 eta: 9:33:11 time: 0.357811 data_time: 0.032402 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.736830 2023/08/08 12:21:30 - mmengine - INFO - Epoch(train) [30][230/529] lr: 5.000000e-04 eta: 9:33:08 time: 0.361892 data_time: 0.032679 memory: 4565 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.830934 2023/08/08 12:21:34 - mmengine - INFO - Epoch(train) [30][240/529] lr: 5.000000e-04 eta: 9:33:08 time: 0.372693 data_time: 0.033207 memory: 4565 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.912210 2023/08/08 12:21:38 - mmengine - INFO - Epoch(train) [30][250/529] lr: 5.000000e-04 eta: 9:33:07 time: 0.380114 data_time: 0.033187 memory: 4565 loss: 0.000980 loss_kpt: 0.000980 acc_pose: 0.824289 2023/08/08 12:21:42 - mmengine - INFO - Epoch(train) [30][260/529] lr: 5.000000e-04 eta: 9:33:05 time: 0.388107 data_time: 0.033528 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.853941 2023/08/08 12:21:46 - mmengine - INFO - Epoch(train) [30][270/529] lr: 5.000000e-04 eta: 9:33:04 time: 0.395643 data_time: 0.033931 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.750684 2023/08/08 12:21:50 - mmengine - INFO - Epoch(train) [30][280/529] lr: 5.000000e-04 eta: 9:33:01 time: 0.395333 data_time: 0.033991 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.838396 2023/08/08 12:21:54 - mmengine - INFO - Epoch(train) [30][290/529] lr: 5.000000e-04 eta: 9:32:59 time: 0.389217 data_time: 0.033450 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.796390 2023/08/08 12:21:57 - mmengine - INFO - Epoch(train) [30][300/529] lr: 5.000000e-04 eta: 9:32:56 time: 0.382955 data_time: 0.033403 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.786064 2023/08/08 12:22:01 - mmengine - INFO - Epoch(train) [30][310/529] lr: 5.000000e-04 eta: 9:32:52 time: 0.375909 data_time: 0.033299 memory: 4565 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.822203 2023/08/08 12:22:04 - mmengine - INFO - Epoch(train) [30][320/529] lr: 5.000000e-04 eta: 9:32:48 time: 0.368708 data_time: 0.032796 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.833416 2023/08/08 12:22:08 - mmengine - INFO - Epoch(train) [30][330/529] lr: 5.000000e-04 eta: 9:32:45 time: 0.365064 data_time: 0.032403 memory: 4565 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.808102 2023/08/08 12:22:12 - mmengine - INFO - Epoch(train) [30][340/529] lr: 5.000000e-04 eta: 9:32:41 time: 0.359545 data_time: 0.032206 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.835012 2023/08/08 12:22:15 - mmengine - INFO - Epoch(train) [30][350/529] lr: 5.000000e-04 eta: 9:32:37 time: 0.358092 data_time: 0.032063 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.845606 2023/08/08 12:22:19 - mmengine - INFO - Epoch(train) [30][360/529] lr: 5.000000e-04 eta: 9:32:33 time: 0.358911 data_time: 0.032298 memory: 4565 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.867227 2023/08/08 12:22:22 - mmengine - INFO - Epoch(train) [30][370/529] lr: 5.000000e-04 eta: 9:32:29 time: 0.357865 data_time: 0.032246 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.816560 2023/08/08 12:22:26 - mmengine - INFO - Epoch(train) [30][380/529] lr: 5.000000e-04 eta: 9:32:26 time: 0.357337 data_time: 0.032859 memory: 4565 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.905610 2023/08/08 12:22:30 - mmengine - INFO - Epoch(train) [30][390/529] lr: 5.000000e-04 eta: 9:32:22 time: 0.357247 data_time: 0.033555 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.827351 2023/08/08 12:22:33 - mmengine - INFO - Epoch(train) [30][400/529] lr: 5.000000e-04 eta: 9:32:18 time: 0.356501 data_time: 0.033612 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.812525 2023/08/08 12:22:37 - mmengine - INFO - Epoch(train) [30][410/529] lr: 5.000000e-04 eta: 9:32:14 time: 0.355727 data_time: 0.033845 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.807978 2023/08/08 12:22:40 - mmengine - INFO - Epoch(train) [30][420/529] lr: 5.000000e-04 eta: 9:32:11 time: 0.359103 data_time: 0.034119 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.807582 2023/08/08 12:22:44 - mmengine - INFO - Epoch(train) [30][430/529] lr: 5.000000e-04 eta: 9:32:07 time: 0.357191 data_time: 0.033511 memory: 4565 loss: 0.000980 loss_kpt: 0.000980 acc_pose: 0.855670 2023/08/08 12:22:47 - mmengine - INFO - Epoch(train) [30][440/529] lr: 5.000000e-04 eta: 9:32:04 time: 0.359229 data_time: 0.032861 memory: 4565 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.825011 2023/08/08 12:22:51 - mmengine - INFO - Epoch(train) [30][450/529] lr: 5.000000e-04 eta: 9:31:59 time: 0.358266 data_time: 0.032478 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.784717 2023/08/08 12:22:55 - mmengine - INFO - Epoch(train) [30][460/529] lr: 5.000000e-04 eta: 9:31:56 time: 0.358303 data_time: 0.031996 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.811243 2023/08/08 12:22:58 - mmengine - INFO - Epoch(train) [30][470/529] lr: 5.000000e-04 eta: 9:31:51 time: 0.354192 data_time: 0.032359 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.794708 2023/08/08 12:23:02 - mmengine - INFO - Epoch(train) [30][480/529] lr: 5.000000e-04 eta: 9:31:48 time: 0.358056 data_time: 0.032898 memory: 4565 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.795852 2023/08/08 12:23:05 - mmengine - INFO - Epoch(train) [30][490/529] lr: 5.000000e-04 eta: 9:31:45 time: 0.357356 data_time: 0.033469 memory: 4565 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.789378 2023/08/08 12:23:09 - mmengine - INFO - Epoch(train) [30][500/529] lr: 5.000000e-04 eta: 9:31:40 time: 0.356972 data_time: 0.033589 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.818659 2023/08/08 12:23:12 - mmengine - INFO - Epoch(train) [30][510/529] lr: 5.000000e-04 eta: 9:31:36 time: 0.356492 data_time: 0.034590 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.851194 2023/08/08 12:23:16 - mmengine - INFO - Epoch(train) [30][520/529] lr: 5.000000e-04 eta: 9:31:33 time: 0.357786 data_time: 0.034851 memory: 4565 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.803723 2023/08/08 12:23:19 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:23:19 - mmengine - INFO - Saving checkpoint at 30 epochs 2023/08/08 12:23:25 - mmengine - INFO - Epoch(val) [30][ 10/127] eta: 0:00:24 time: 0.199795 data_time: 0.014181 memory: 4565 2023/08/08 12:23:27 - mmengine - INFO - Epoch(val) [30][ 20/127] eta: 0:00:21 time: 0.199945 data_time: 0.014133 memory: 1634 2023/08/08 12:23:29 - mmengine - INFO - Epoch(val) [30][ 30/127] eta: 0:00:19 time: 0.200191 data_time: 0.014205 memory: 1634 2023/08/08 12:23:31 - mmengine - INFO - Epoch(val) [30][ 40/127] eta: 0:00:17 time: 0.200795 data_time: 0.014329 memory: 1634 2023/08/08 12:23:33 - mmengine - INFO - Epoch(val) [30][ 50/127] eta: 0:00:15 time: 0.203191 data_time: 0.014315 memory: 1634 2023/08/08 12:23:35 - mmengine - INFO - Epoch(val) [30][ 60/127] eta: 0:00:13 time: 0.201319 data_time: 0.012481 memory: 1634 2023/08/08 12:23:37 - mmengine - INFO - Epoch(val) [30][ 70/127] eta: 0:00:11 time: 0.201419 data_time: 0.012550 memory: 1634 2023/08/08 12:23:39 - mmengine - INFO - Epoch(val) [30][ 80/127] eta: 0:00:09 time: 0.200614 data_time: 0.012229 memory: 1634 2023/08/08 12:23:41 - mmengine - INFO - Epoch(val) [30][ 90/127] eta: 0:00:07 time: 0.199905 data_time: 0.011906 memory: 1634 2023/08/08 12:23:43 - mmengine - INFO - Epoch(val) [30][100/127] eta: 0:00:05 time: 0.199493 data_time: 0.011892 memory: 1634 2023/08/08 12:23:45 - mmengine - INFO - Epoch(val) [30][110/127] eta: 0:00:03 time: 0.202835 data_time: 0.015731 memory: 1634 2023/08/08 12:23:47 - mmengine - INFO - Epoch(val) [30][120/127] eta: 0:00:01 time: 0.202343 data_time: 0.015613 memory: 1634 2023/08/08 12:23:49 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 12:23:49 - mmengine - INFO - Evaluating AUC... 2023/08/08 12:23:49 - mmengine - INFO - Evaluating EPE... 2023/08/08 12:23:49 - mmengine - INFO - Epoch(val) [30][127/127] PCK: 0.978694 AUC: 0.659823 EPE: 12.476780 data_time: 0.014255 time: 0.200713 2023/08/08 12:23:49 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_20.pth is removed 2023/08/08 12:23:51 - mmengine - INFO - The best checkpoint with 0.6598 AUC at 30 epoch is saved to best_AUC_epoch_30.pth. 2023/08/08 12:23:59 - mmengine - INFO - Epoch(train) [31][ 10/529] lr: 5.000000e-04 eta: 9:31:27 time: 0.360373 data_time: 0.037765 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.807594 2023/08/08 12:24:03 - mmengine - INFO - Epoch(train) [31][ 20/529] lr: 5.000000e-04 eta: 9:31:23 time: 0.361114 data_time: 0.037759 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.831501 2023/08/08 12:24:07 - mmengine - INFO - Epoch(train) [31][ 30/529] lr: 5.000000e-04 eta: 9:31:20 time: 0.363687 data_time: 0.037299 memory: 4565 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.835117 2023/08/08 12:24:10 - mmengine - INFO - Epoch(train) [31][ 40/529] lr: 5.000000e-04 eta: 9:31:17 time: 0.367253 data_time: 0.036428 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.812536 2023/08/08 12:24:14 - mmengine - INFO - Epoch(train) [31][ 50/529] lr: 5.000000e-04 eta: 9:31:14 time: 0.370224 data_time: 0.036843 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.877716 2023/08/08 12:24:17 - mmengine - INFO - Epoch(train) [31][ 60/529] lr: 5.000000e-04 eta: 9:31:10 time: 0.361735 data_time: 0.033200 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.823051 2023/08/08 12:24:21 - mmengine - INFO - Epoch(train) [31][ 70/529] lr: 5.000000e-04 eta: 9:31:05 time: 0.361390 data_time: 0.033825 memory: 4565 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.793319 2023/08/08 12:24:24 - mmengine - INFO - Epoch(train) [31][ 80/529] lr: 5.000000e-04 eta: 9:31:01 time: 0.358818 data_time: 0.033625 memory: 4565 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.875824 2023/08/08 12:24:28 - mmengine - INFO - Epoch(train) [31][ 90/529] lr: 5.000000e-04 eta: 9:30:59 time: 0.358650 data_time: 0.033754 memory: 4565 loss: 0.000980 loss_kpt: 0.000980 acc_pose: 0.842071 2023/08/08 12:24:32 - mmengine - INFO - Epoch(train) [31][100/529] lr: 5.000000e-04 eta: 9:30:54 time: 0.356364 data_time: 0.033642 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.788913 2023/08/08 12:24:35 - mmengine - INFO - Epoch(train) [31][110/529] lr: 5.000000e-04 eta: 9:30:51 time: 0.358623 data_time: 0.033274 memory: 4565 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.837480 2023/08/08 12:24:39 - mmengine - INFO - Epoch(train) [31][120/529] lr: 5.000000e-04 eta: 9:30:48 time: 0.360372 data_time: 0.033262 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.866890 2023/08/08 12:24:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:24:42 - mmengine - INFO - Epoch(train) [31][130/529] lr: 5.000000e-04 eta: 9:30:43 time: 0.359836 data_time: 0.033197 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.812405 2023/08/08 12:24:46 - mmengine - INFO - Epoch(train) [31][140/529] lr: 5.000000e-04 eta: 9:30:40 time: 0.357619 data_time: 0.033084 memory: 4565 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.744308 2023/08/08 12:24:50 - mmengine - INFO - Epoch(train) [31][150/529] lr: 5.000000e-04 eta: 9:30:37 time: 0.361609 data_time: 0.033529 memory: 4565 loss: 0.001013 loss_kpt: 0.001013 acc_pose: 0.779120 2023/08/08 12:24:53 - mmengine - INFO - Epoch(train) [31][160/529] lr: 5.000000e-04 eta: 9:30:33 time: 0.359609 data_time: 0.033297 memory: 4565 loss: 0.001013 loss_kpt: 0.001013 acc_pose: 0.862010 2023/08/08 12:24:57 - mmengine - INFO - Epoch(train) [31][170/529] lr: 5.000000e-04 eta: 9:30:31 time: 0.363637 data_time: 0.032627 memory: 4565 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.788509 2023/08/08 12:25:01 - mmengine - INFO - Epoch(train) [31][180/529] lr: 5.000000e-04 eta: 9:30:30 time: 0.376939 data_time: 0.032711 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.797135 2023/08/08 12:25:05 - mmengine - INFO - Epoch(train) [31][190/529] lr: 5.000000e-04 eta: 9:30:28 time: 0.381447 data_time: 0.036878 memory: 4565 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.773346 2023/08/08 12:25:09 - mmengine - INFO - Epoch(train) [31][200/529] lr: 5.000000e-04 eta: 9:30:25 time: 0.382164 data_time: 0.036724 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.772512 2023/08/08 12:25:12 - mmengine - INFO - Epoch(train) [31][210/529] lr: 5.000000e-04 eta: 9:30:22 time: 0.382139 data_time: 0.037168 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.756373 2023/08/08 12:25:16 - mmengine - INFO - Epoch(train) [31][220/529] lr: 5.000000e-04 eta: 9:30:18 time: 0.377710 data_time: 0.037248 memory: 4565 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.774877 2023/08/08 12:25:20 - mmengine - INFO - Epoch(train) [31][230/529] lr: 5.000000e-04 eta: 9:30:14 time: 0.365456 data_time: 0.036991 memory: 4565 loss: 0.000979 loss_kpt: 0.000979 acc_pose: 0.830690 2023/08/08 12:25:23 - mmengine - INFO - Epoch(train) [31][240/529] lr: 5.000000e-04 eta: 9:30:12 time: 0.366179 data_time: 0.032957 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.826693 2023/08/08 12:25:27 - mmengine - INFO - Epoch(train) [31][250/529] lr: 5.000000e-04 eta: 9:30:09 time: 0.366986 data_time: 0.032920 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.859433 2023/08/08 12:25:31 - mmengine - INFO - Epoch(train) [31][260/529] lr: 5.000000e-04 eta: 9:30:07 time: 0.371762 data_time: 0.032301 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.828835 2023/08/08 12:25:35 - mmengine - INFO - Epoch(train) [31][270/529] lr: 5.000000e-04 eta: 9:30:03 time: 0.372971 data_time: 0.032541 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.857695 2023/08/08 12:25:38 - mmengine - INFO - Epoch(train) [31][280/529] lr: 5.000000e-04 eta: 9:29:59 time: 0.371708 data_time: 0.032646 memory: 4565 loss: 0.000970 loss_kpt: 0.000970 acc_pose: 0.878330 2023/08/08 12:25:42 - mmengine - INFO - Epoch(train) [31][290/529] lr: 5.000000e-04 eta: 9:29:56 time: 0.366166 data_time: 0.032870 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.758575 2023/08/08 12:25:45 - mmengine - INFO - Epoch(train) [31][300/529] lr: 5.000000e-04 eta: 9:29:52 time: 0.362735 data_time: 0.033063 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.792411 2023/08/08 12:25:49 - mmengine - INFO - Epoch(train) [31][310/529] lr: 5.000000e-04 eta: 9:29:48 time: 0.357314 data_time: 0.033776 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.882088 2023/08/08 12:25:53 - mmengine - INFO - Epoch(train) [31][320/529] lr: 5.000000e-04 eta: 9:29:46 time: 0.362214 data_time: 0.033501 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.837169 2023/08/08 12:25:56 - mmengine - INFO - Epoch(train) [31][330/529] lr: 5.000000e-04 eta: 9:29:43 time: 0.365947 data_time: 0.033813 memory: 4565 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.819261 2023/08/08 12:26:00 - mmengine - INFO - Epoch(train) [31][340/529] lr: 5.000000e-04 eta: 9:29:39 time: 0.364926 data_time: 0.033634 memory: 4565 loss: 0.000975 loss_kpt: 0.000975 acc_pose: 0.797245 2023/08/08 12:26:04 - mmengine - INFO - Epoch(train) [31][350/529] lr: 5.000000e-04 eta: 9:29:35 time: 0.363368 data_time: 0.033034 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.787169 2023/08/08 12:26:07 - mmengine - INFO - Epoch(train) [31][360/529] lr: 5.000000e-04 eta: 9:29:32 time: 0.366817 data_time: 0.032268 memory: 4565 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.793584 2023/08/08 12:26:11 - mmengine - INFO - Epoch(train) [31][370/529] lr: 5.000000e-04 eta: 9:29:28 time: 0.359642 data_time: 0.032800 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.833412 2023/08/08 12:26:15 - mmengine - INFO - Epoch(train) [31][380/529] lr: 5.000000e-04 eta: 9:29:25 time: 0.360157 data_time: 0.032602 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.842030 2023/08/08 12:26:18 - mmengine - INFO - Epoch(train) [31][390/529] lr: 5.000000e-04 eta: 9:29:21 time: 0.360628 data_time: 0.032342 memory: 4565 loss: 0.001003 loss_kpt: 0.001003 acc_pose: 0.741884 2023/08/08 12:26:22 - mmengine - INFO - Epoch(train) [31][400/529] lr: 5.000000e-04 eta: 9:29:18 time: 0.364245 data_time: 0.032644 memory: 4565 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.816354 2023/08/08 12:26:25 - mmengine - INFO - Epoch(train) [31][410/529] lr: 5.000000e-04 eta: 9:29:14 time: 0.361641 data_time: 0.032820 memory: 4565 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.798181 2023/08/08 12:26:29 - mmengine - INFO - Epoch(train) [31][420/529] lr: 5.000000e-04 eta: 9:29:13 time: 0.371150 data_time: 0.033191 memory: 4565 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.846107 2023/08/08 12:26:33 - mmengine - INFO - Epoch(train) [31][430/529] lr: 5.000000e-04 eta: 9:29:09 time: 0.368944 data_time: 0.033783 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.842840 2023/08/08 12:26:37 - mmengine - INFO - Epoch(train) [31][440/529] lr: 5.000000e-04 eta: 9:29:06 time: 0.370424 data_time: 0.034130 memory: 4565 loss: 0.001008 loss_kpt: 0.001008 acc_pose: 0.795274 2023/08/08 12:26:40 - mmengine - INFO - Epoch(train) [31][450/529] lr: 5.000000e-04 eta: 9:29:02 time: 0.366684 data_time: 0.034455 memory: 4565 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.819611 2023/08/08 12:26:44 - mmengine - INFO - Epoch(train) [31][460/529] lr: 5.000000e-04 eta: 9:28:58 time: 0.365092 data_time: 0.034708 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.797276 2023/08/08 12:26:48 - mmengine - INFO - Epoch(train) [31][470/529] lr: 5.000000e-04 eta: 9:28:56 time: 0.363015 data_time: 0.033623 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.815570 2023/08/08 12:26:51 - mmengine - INFO - Epoch(train) [31][480/529] lr: 5.000000e-04 eta: 9:28:53 time: 0.365752 data_time: 0.032747 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.821143 2023/08/08 12:26:55 - mmengine - INFO - Epoch(train) [31][490/529] lr: 5.000000e-04 eta: 9:28:49 time: 0.362729 data_time: 0.032354 memory: 4565 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.771965 2023/08/08 12:26:58 - mmengine - INFO - Epoch(train) [31][500/529] lr: 5.000000e-04 eta: 9:28:45 time: 0.363857 data_time: 0.032433 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.846244 2023/08/08 12:27:02 - mmengine - INFO - Epoch(train) [31][510/529] lr: 5.000000e-04 eta: 9:28:42 time: 0.369212 data_time: 0.032106 memory: 4565 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.763599 2023/08/08 12:27:06 - mmengine - INFO - Epoch(train) [31][520/529] lr: 5.000000e-04 eta: 9:28:40 time: 0.367518 data_time: 0.032432 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.803493 2023/08/08 12:27:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:27:13 - mmengine - INFO - Epoch(train) [32][ 10/529] lr: 5.000000e-04 eta: 9:28:36 time: 0.376149 data_time: 0.037210 memory: 4565 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.860878 2023/08/08 12:27:17 - mmengine - INFO - Epoch(train) [32][ 20/529] lr: 5.000000e-04 eta: 9:28:33 time: 0.378324 data_time: 0.036535 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.898485 2023/08/08 12:27:21 - mmengine - INFO - Epoch(train) [32][ 30/529] lr: 5.000000e-04 eta: 9:28:30 time: 0.379004 data_time: 0.036721 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.818184 2023/08/08 12:27:25 - mmengine - INFO - Epoch(train) [32][ 40/529] lr: 5.000000e-04 eta: 9:28:28 time: 0.380764 data_time: 0.036721 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.798883 2023/08/08 12:27:28 - mmengine - INFO - Epoch(train) [32][ 50/529] lr: 5.000000e-04 eta: 9:28:25 time: 0.379286 data_time: 0.037439 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.904580 2023/08/08 12:27:32 - mmengine - INFO - Epoch(train) [32][ 60/529] lr: 5.000000e-04 eta: 9:28:21 time: 0.371634 data_time: 0.032691 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.817644 2023/08/08 12:27:36 - mmengine - INFO - Epoch(train) [32][ 70/529] lr: 5.000000e-04 eta: 9:28:18 time: 0.372829 data_time: 0.033522 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.820472 2023/08/08 12:27:39 - mmengine - INFO - Epoch(train) [32][ 80/529] lr: 5.000000e-04 eta: 9:28:16 time: 0.374954 data_time: 0.033988 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.785862 2023/08/08 12:27:43 - mmengine - INFO - Epoch(train) [32][ 90/529] lr: 5.000000e-04 eta: 9:28:13 time: 0.368973 data_time: 0.033997 memory: 4565 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.856228 2023/08/08 12:27:47 - mmengine - INFO - Epoch(train) [32][100/529] lr: 5.000000e-04 eta: 9:28:09 time: 0.366918 data_time: 0.033126 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.863623 2023/08/08 12:27:50 - mmengine - INFO - Epoch(train) [32][110/529] lr: 5.000000e-04 eta: 9:28:05 time: 0.367508 data_time: 0.033047 memory: 4565 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.826139 2023/08/08 12:27:54 - mmengine - INFO - Epoch(train) [32][120/529] lr: 5.000000e-04 eta: 9:28:02 time: 0.365243 data_time: 0.032134 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.814303 2023/08/08 12:27:58 - mmengine - INFO - Epoch(train) [32][130/529] lr: 5.000000e-04 eta: 9:28:00 time: 0.367022 data_time: 0.031769 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.861650 2023/08/08 12:28:02 - mmengine - INFO - Epoch(train) [32][140/529] lr: 5.000000e-04 eta: 9:27:57 time: 0.369242 data_time: 0.031636 memory: 4565 loss: 0.001001 loss_kpt: 0.001001 acc_pose: 0.833454 2023/08/08 12:28:06 - mmengine - INFO - Epoch(train) [32][150/529] lr: 5.000000e-04 eta: 9:27:56 time: 0.379287 data_time: 0.032547 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.807479 2023/08/08 12:28:09 - mmengine - INFO - Epoch(train) [32][160/529] lr: 5.000000e-04 eta: 9:27:54 time: 0.384354 data_time: 0.032471 memory: 4565 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.850736 2023/08/08 12:28:13 - mmengine - INFO - Epoch(train) [32][170/529] lr: 5.000000e-04 eta: 9:27:50 time: 0.383824 data_time: 0.032830 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.812854 2023/08/08 12:28:17 - mmengine - INFO - Epoch(train) [32][180/529] lr: 5.000000e-04 eta: 9:27:48 time: 0.380169 data_time: 0.032487 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.803369 2023/08/08 12:28:20 - mmengine - INFO - Epoch(train) [32][190/529] lr: 5.000000e-04 eta: 9:27:44 time: 0.378083 data_time: 0.033066 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.791545 2023/08/08 12:28:24 - mmengine - INFO - Epoch(train) [32][200/529] lr: 5.000000e-04 eta: 9:27:41 time: 0.370614 data_time: 0.032507 memory: 4565 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.871756 2023/08/08 12:28:28 - mmengine - INFO - Epoch(train) [32][210/529] lr: 5.000000e-04 eta: 9:27:37 time: 0.365277 data_time: 0.032727 memory: 4565 loss: 0.000970 loss_kpt: 0.000970 acc_pose: 0.818165 2023/08/08 12:28:31 - mmengine - INFO - Epoch(train) [32][220/529] lr: 5.000000e-04 eta: 9:27:33 time: 0.363549 data_time: 0.032524 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.774553 2023/08/08 12:28:35 - mmengine - INFO - Epoch(train) [32][230/529] lr: 5.000000e-04 eta: 9:27:29 time: 0.360098 data_time: 0.032443 memory: 4565 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.864742 2023/08/08 12:28:38 - mmengine - INFO - Epoch(train) [32][240/529] lr: 5.000000e-04 eta: 9:27:26 time: 0.359592 data_time: 0.031771 memory: 4565 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.830248 2023/08/08 12:28:42 - mmengine - INFO - Epoch(train) [32][250/529] lr: 5.000000e-04 eta: 9:27:22 time: 0.357506 data_time: 0.031910 memory: 4565 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.829733 2023/08/08 12:28:46 - mmengine - INFO - Epoch(train) [32][260/529] lr: 5.000000e-04 eta: 9:27:20 time: 0.363485 data_time: 0.036102 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.820272 2023/08/08 12:28:50 - mmengine - INFO - Epoch(train) [32][270/529] lr: 5.000000e-04 eta: 9:27:18 time: 0.369860 data_time: 0.036585 memory: 4565 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.789702 2023/08/08 12:28:53 - mmengine - INFO - Epoch(train) [32][280/529] lr: 5.000000e-04 eta: 9:27:14 time: 0.370712 data_time: 0.036991 memory: 4565 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.848921 2023/08/08 12:28:57 - mmengine - INFO - Epoch(train) [32][290/529] lr: 5.000000e-04 eta: 9:27:11 time: 0.370227 data_time: 0.037284 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.727464 2023/08/08 12:29:01 - mmengine - INFO - Epoch(train) [32][300/529] lr: 5.000000e-04 eta: 9:27:07 time: 0.371693 data_time: 0.037842 memory: 4565 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.771842 2023/08/08 12:29:04 - mmengine - INFO - Epoch(train) [32][310/529] lr: 5.000000e-04 eta: 9:27:04 time: 0.366551 data_time: 0.033632 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.821607 2023/08/08 12:29:08 - mmengine - INFO - Epoch(train) [32][320/529] lr: 5.000000e-04 eta: 9:27:00 time: 0.362348 data_time: 0.033667 memory: 4565 loss: 0.000989 loss_kpt: 0.000989 acc_pose: 0.840662 2023/08/08 12:29:11 - mmengine - INFO - Epoch(train) [32][330/529] lr: 5.000000e-04 eta: 9:26:56 time: 0.360237 data_time: 0.033141 memory: 4565 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.866479 2023/08/08 12:29:15 - mmengine - INFO - Epoch(train) [32][340/529] lr: 5.000000e-04 eta: 9:26:52 time: 0.358516 data_time: 0.032681 memory: 4565 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.770564 2023/08/08 12:29:18 - mmengine - INFO - Epoch(train) [32][350/529] lr: 5.000000e-04 eta: 9:26:49 time: 0.358715 data_time: 0.031415 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.833298 2023/08/08 12:29:22 - mmengine - INFO - Epoch(train) [32][360/529] lr: 5.000000e-04 eta: 9:26:45 time: 0.357690 data_time: 0.031222 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.837627 2023/08/08 12:29:26 - mmengine - INFO - Epoch(train) [32][370/529] lr: 5.000000e-04 eta: 9:26:41 time: 0.354857 data_time: 0.030346 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.764425 2023/08/08 12:29:29 - mmengine - INFO - Epoch(train) [32][380/529] lr: 5.000000e-04 eta: 9:26:37 time: 0.356223 data_time: 0.030287 memory: 4565 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.801943 2023/08/08 12:29:33 - mmengine - INFO - Epoch(train) [32][390/529] lr: 5.000000e-04 eta: 9:26:33 time: 0.358521 data_time: 0.030375 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.829849 2023/08/08 12:29:36 - mmengine - INFO - Epoch(train) [32][400/529] lr: 5.000000e-04 eta: 9:26:29 time: 0.356090 data_time: 0.030472 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.792128 2023/08/08 12:29:40 - mmengine - INFO - Epoch(train) [32][410/529] lr: 5.000000e-04 eta: 9:26:25 time: 0.355556 data_time: 0.030146 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.854957 2023/08/08 12:29:43 - mmengine - INFO - Epoch(train) [32][420/529] lr: 5.000000e-04 eta: 9:26:22 time: 0.358354 data_time: 0.030373 memory: 4565 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.856922 2023/08/08 12:29:47 - mmengine - INFO - Epoch(train) [32][430/529] lr: 5.000000e-04 eta: 9:26:20 time: 0.363271 data_time: 0.030197 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.814217 2023/08/08 12:29:51 - mmengine - INFO - Epoch(train) [32][440/529] lr: 5.000000e-04 eta: 9:26:16 time: 0.363339 data_time: 0.030239 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.778998 2023/08/08 12:29:54 - mmengine - INFO - Epoch(train) [32][450/529] lr: 5.000000e-04 eta: 9:26:12 time: 0.362962 data_time: 0.030249 memory: 4565 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.858312 2023/08/08 12:29:58 - mmengine - INFO - Epoch(train) [32][460/529] lr: 5.000000e-04 eta: 9:26:08 time: 0.362377 data_time: 0.030548 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.856848 2023/08/08 12:30:01 - mmengine - INFO - Epoch(train) [32][470/529] lr: 5.000000e-04 eta: 9:26:04 time: 0.359256 data_time: 0.030315 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.842105 2023/08/08 12:30:05 - mmengine - INFO - Epoch(train) [32][480/529] lr: 5.000000e-04 eta: 9:26:00 time: 0.352781 data_time: 0.030524 memory: 4565 loss: 0.000979 loss_kpt: 0.000979 acc_pose: 0.875448 2023/08/08 12:30:08 - mmengine - INFO - Epoch(train) [32][490/529] lr: 5.000000e-04 eta: 9:25:55 time: 0.350722 data_time: 0.030281 memory: 4565 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.744389 2023/08/08 12:30:12 - mmengine - INFO - Epoch(train) [32][500/529] lr: 5.000000e-04 eta: 9:25:52 time: 0.354484 data_time: 0.030497 memory: 4565 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.808809 2023/08/08 12:30:16 - mmengine - INFO - Epoch(train) [32][510/529] lr: 5.000000e-04 eta: 9:25:49 time: 0.356322 data_time: 0.030512 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.790870 2023/08/08 12:30:19 - mmengine - INFO - Epoch(train) [32][520/529] lr: 5.000000e-04 eta: 9:25:44 time: 0.356070 data_time: 0.030660 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.764730 2023/08/08 12:30:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:30:26 - mmengine - INFO - Epoch(train) [33][ 10/529] lr: 5.000000e-04 eta: 9:25:38 time: 0.360805 data_time: 0.034591 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.808030 2023/08/08 12:30:30 - mmengine - INFO - Epoch(train) [33][ 20/529] lr: 5.000000e-04 eta: 9:25:34 time: 0.357628 data_time: 0.034483 memory: 4565 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.809832 2023/08/08 12:30:33 - mmengine - INFO - Epoch(train) [33][ 30/529] lr: 5.000000e-04 eta: 9:25:30 time: 0.355135 data_time: 0.034514 memory: 4565 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.832537 2023/08/08 12:30:37 - mmengine - INFO - Epoch(train) [33][ 40/529] lr: 5.000000e-04 eta: 9:25:26 time: 0.355424 data_time: 0.034633 memory: 4565 loss: 0.000980 loss_kpt: 0.000980 acc_pose: 0.821737 2023/08/08 12:30:40 - mmengine - INFO - Epoch(train) [33][ 50/529] lr: 5.000000e-04 eta: 9:25:21 time: 0.354186 data_time: 0.035429 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.859453 2023/08/08 12:30:44 - mmengine - INFO - Epoch(train) [33][ 60/529] lr: 5.000000e-04 eta: 9:25:17 time: 0.349435 data_time: 0.030509 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.878544 2023/08/08 12:30:47 - mmengine - INFO - Epoch(train) [33][ 70/529] lr: 5.000000e-04 eta: 9:25:13 time: 0.349030 data_time: 0.030386 memory: 4565 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.851992 2023/08/08 12:30:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:30:51 - mmengine - INFO - Epoch(train) [33][ 80/529] lr: 5.000000e-04 eta: 9:25:08 time: 0.348281 data_time: 0.030121 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.786252 2023/08/08 12:30:54 - mmengine - INFO - Epoch(train) [33][ 90/529] lr: 5.000000e-04 eta: 9:25:05 time: 0.352205 data_time: 0.030392 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.841809 2023/08/08 12:30:58 - mmengine - INFO - Epoch(train) [33][100/529] lr: 5.000000e-04 eta: 9:25:02 time: 0.354690 data_time: 0.031102 memory: 4565 loss: 0.000954 loss_kpt: 0.000954 acc_pose: 0.880327 2023/08/08 12:31:01 - mmengine - INFO - Epoch(train) [33][110/529] lr: 5.000000e-04 eta: 9:24:57 time: 0.354364 data_time: 0.031977 memory: 4565 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.924060 2023/08/08 12:31:05 - mmengine - INFO - Epoch(train) [33][120/529] lr: 5.000000e-04 eta: 9:24:53 time: 0.354607 data_time: 0.032768 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.833679 2023/08/08 12:31:08 - mmengine - INFO - Epoch(train) [33][130/529] lr: 5.000000e-04 eta: 9:24:49 time: 0.354199 data_time: 0.032833 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.824170 2023/08/08 12:31:12 - mmengine - INFO - Epoch(train) [33][140/529] lr: 5.000000e-04 eta: 9:24:44 time: 0.349933 data_time: 0.032571 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.786038 2023/08/08 12:31:15 - mmengine - INFO - Epoch(train) [33][150/529] lr: 5.000000e-04 eta: 9:24:41 time: 0.350362 data_time: 0.032083 memory: 4565 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.828391 2023/08/08 12:31:19 - mmengine - INFO - Epoch(train) [33][160/529] lr: 5.000000e-04 eta: 9:24:39 time: 0.357825 data_time: 0.031458 memory: 4565 loss: 0.000975 loss_kpt: 0.000975 acc_pose: 0.861682 2023/08/08 12:31:23 - mmengine - INFO - Epoch(train) [33][170/529] lr: 5.000000e-04 eta: 9:24:34 time: 0.357492 data_time: 0.030774 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.881755 2023/08/08 12:31:26 - mmengine - INFO - Epoch(train) [33][180/529] lr: 5.000000e-04 eta: 9:24:30 time: 0.357959 data_time: 0.030922 memory: 4565 loss: 0.000979 loss_kpt: 0.000979 acc_pose: 0.806090 2023/08/08 12:31:30 - mmengine - INFO - Epoch(train) [33][190/529] lr: 5.000000e-04 eta: 9:24:25 time: 0.357191 data_time: 0.030810 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.845261 2023/08/08 12:31:33 - mmengine - INFO - Epoch(train) [33][200/529] lr: 5.000000e-04 eta: 9:24:21 time: 0.354486 data_time: 0.030859 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.821884 2023/08/08 12:31:37 - mmengine - INFO - Epoch(train) [33][210/529] lr: 5.000000e-04 eta: 9:24:17 time: 0.347764 data_time: 0.030831 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.827379 2023/08/08 12:31:40 - mmengine - INFO - Epoch(train) [33][220/529] lr: 5.000000e-04 eta: 9:24:13 time: 0.350625 data_time: 0.031649 memory: 4565 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.845955 2023/08/08 12:31:44 - mmengine - INFO - Epoch(train) [33][230/529] lr: 5.000000e-04 eta: 9:24:09 time: 0.351108 data_time: 0.031868 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.845109 2023/08/08 12:31:47 - mmengine - INFO - Epoch(train) [33][240/529] lr: 5.000000e-04 eta: 9:24:05 time: 0.351657 data_time: 0.031866 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.882176 2023/08/08 12:31:51 - mmengine - INFO - Epoch(train) [33][250/529] lr: 5.000000e-04 eta: 9:24:01 time: 0.351545 data_time: 0.031691 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.841546 2023/08/08 12:31:54 - mmengine - INFO - Epoch(train) [33][260/529] lr: 5.000000e-04 eta: 9:23:57 time: 0.352354 data_time: 0.031648 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.837732 2023/08/08 12:31:58 - mmengine - INFO - Epoch(train) [33][270/529] lr: 5.000000e-04 eta: 9:23:53 time: 0.350574 data_time: 0.030845 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.835150 2023/08/08 12:32:01 - mmengine - INFO - Epoch(train) [33][280/529] lr: 5.000000e-04 eta: 9:23:49 time: 0.351694 data_time: 0.030648 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.869540 2023/08/08 12:32:05 - mmengine - INFO - Epoch(train) [33][290/529] lr: 5.000000e-04 eta: 9:23:46 time: 0.355237 data_time: 0.034702 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.770752 2023/08/08 12:32:09 - mmengine - INFO - Epoch(train) [33][300/529] lr: 5.000000e-04 eta: 9:23:42 time: 0.358744 data_time: 0.035595 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.819987 2023/08/08 12:32:12 - mmengine - INFO - Epoch(train) [33][310/529] lr: 5.000000e-04 eta: 9:23:38 time: 0.357991 data_time: 0.036146 memory: 4565 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.767603 2023/08/08 12:32:16 - mmengine - INFO - Epoch(train) [33][320/529] lr: 5.000000e-04 eta: 9:23:34 time: 0.358847 data_time: 0.036675 memory: 4565 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.884566 2023/08/08 12:32:19 - mmengine - INFO - Epoch(train) [33][330/529] lr: 5.000000e-04 eta: 9:23:30 time: 0.357655 data_time: 0.037099 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.872205 2023/08/08 12:32:23 - mmengine - INFO - Epoch(train) [33][340/529] lr: 5.000000e-04 eta: 9:23:26 time: 0.356054 data_time: 0.033676 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.838491 2023/08/08 12:32:26 - mmengine - INFO - Epoch(train) [33][350/529] lr: 5.000000e-04 eta: 9:23:22 time: 0.352613 data_time: 0.032831 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.834634 2023/08/08 12:32:30 - mmengine - INFO - Epoch(train) [33][360/529] lr: 5.000000e-04 eta: 9:23:18 time: 0.352729 data_time: 0.032179 memory: 4565 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.830420 2023/08/08 12:32:33 - mmengine - INFO - Epoch(train) [33][370/529] lr: 5.000000e-04 eta: 9:23:14 time: 0.351755 data_time: 0.031563 memory: 4565 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.867250 2023/08/08 12:32:37 - mmengine - INFO - Epoch(train) [33][380/529] lr: 5.000000e-04 eta: 9:23:10 time: 0.352140 data_time: 0.030911 memory: 4565 loss: 0.000975 loss_kpt: 0.000975 acc_pose: 0.824752 2023/08/08 12:32:40 - mmengine - INFO - Epoch(train) [33][390/529] lr: 5.000000e-04 eta: 9:23:06 time: 0.350772 data_time: 0.030368 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.854006 2023/08/08 12:32:44 - mmengine - INFO - Epoch(train) [33][400/529] lr: 5.000000e-04 eta: 9:23:02 time: 0.353239 data_time: 0.030652 memory: 4565 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.851315 2023/08/08 12:32:48 - mmengine - INFO - Epoch(train) [33][410/529] lr: 5.000000e-04 eta: 9:22:58 time: 0.353443 data_time: 0.030671 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.766016 2023/08/08 12:32:51 - mmengine - INFO - Epoch(train) [33][420/529] lr: 5.000000e-04 eta: 9:22:54 time: 0.354082 data_time: 0.030723 memory: 4565 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.853768 2023/08/08 12:32:55 - mmengine - INFO - Epoch(train) [33][430/529] lr: 5.000000e-04 eta: 9:22:50 time: 0.354355 data_time: 0.031112 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.836813 2023/08/08 12:32:58 - mmengine - INFO - Epoch(train) [33][440/529] lr: 5.000000e-04 eta: 9:22:46 time: 0.355014 data_time: 0.031342 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.878330 2023/08/08 12:33:02 - mmengine - INFO - Epoch(train) [33][450/529] lr: 5.000000e-04 eta: 9:22:44 time: 0.358264 data_time: 0.031300 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.796517 2023/08/08 12:33:06 - mmengine - INFO - Epoch(train) [33][460/529] lr: 5.000000e-04 eta: 9:22:41 time: 0.361563 data_time: 0.031525 memory: 4565 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.820681 2023/08/08 12:33:09 - mmengine - INFO - Epoch(train) [33][470/529] lr: 5.000000e-04 eta: 9:22:37 time: 0.363682 data_time: 0.031894 memory: 4565 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.796119 2023/08/08 12:33:13 - mmengine - INFO - Epoch(train) [33][480/529] lr: 5.000000e-04 eta: 9:22:33 time: 0.362843 data_time: 0.032001 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.758809 2023/08/08 12:33:16 - mmengine - INFO - Epoch(train) [33][490/529] lr: 5.000000e-04 eta: 9:22:30 time: 0.365068 data_time: 0.032326 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.822017 2023/08/08 12:33:20 - mmengine - INFO - Epoch(train) [33][500/529] lr: 5.000000e-04 eta: 9:22:25 time: 0.359449 data_time: 0.032501 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.903338 2023/08/08 12:33:23 - mmengine - INFO - Epoch(train) [33][510/529] lr: 5.000000e-04 eta: 9:22:21 time: 0.355645 data_time: 0.032752 memory: 4565 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.807392 2023/08/08 12:33:27 - mmengine - INFO - Epoch(train) [33][520/529] lr: 5.000000e-04 eta: 9:22:18 time: 0.356231 data_time: 0.032612 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.871552 2023/08/08 12:33:30 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:33:34 - mmengine - INFO - Epoch(train) [34][ 10/529] lr: 5.000000e-04 eta: 9:22:11 time: 0.356452 data_time: 0.035734 memory: 4565 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.856244 2023/08/08 12:33:37 - mmengine - INFO - Epoch(train) [34][ 20/529] lr: 5.000000e-04 eta: 9:22:07 time: 0.356643 data_time: 0.035210 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.799872 2023/08/08 12:33:41 - mmengine - INFO - Epoch(train) [34][ 30/529] lr: 5.000000e-04 eta: 9:22:03 time: 0.357932 data_time: 0.034907 memory: 4565 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.860287 2023/08/08 12:33:45 - mmengine - INFO - Epoch(train) [34][ 40/529] lr: 5.000000e-04 eta: 9:21:59 time: 0.356170 data_time: 0.035038 memory: 4565 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.820834 2023/08/08 12:33:48 - mmengine - INFO - Epoch(train) [34][ 50/529] lr: 5.000000e-04 eta: 9:21:56 time: 0.359013 data_time: 0.034971 memory: 4565 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.758483 2023/08/08 12:33:52 - mmengine - INFO - Epoch(train) [34][ 60/529] lr: 5.000000e-04 eta: 9:21:52 time: 0.355790 data_time: 0.031478 memory: 4565 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.852003 2023/08/08 12:33:55 - mmengine - INFO - Epoch(train) [34][ 70/529] lr: 5.000000e-04 eta: 9:21:49 time: 0.359076 data_time: 0.031540 memory: 4565 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.873331 2023/08/08 12:33:59 - mmengine - INFO - Epoch(train) [34][ 80/529] lr: 5.000000e-04 eta: 9:21:45 time: 0.358372 data_time: 0.031319 memory: 4565 loss: 0.000952 loss_kpt: 0.000952 acc_pose: 0.850841 2023/08/08 12:34:02 - mmengine - INFO - Epoch(train) [34][ 90/529] lr: 5.000000e-04 eta: 9:21:41 time: 0.357686 data_time: 0.031134 memory: 4565 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.814120 2023/08/08 12:34:06 - mmengine - INFO - Epoch(train) [34][100/529] lr: 5.000000e-04 eta: 9:21:37 time: 0.358466 data_time: 0.030923 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.888811 2023/08/08 12:34:10 - mmengine - INFO - Epoch(train) [34][110/529] lr: 5.000000e-04 eta: 9:21:33 time: 0.357641 data_time: 0.030720 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.768518 2023/08/08 12:34:13 - mmengine - INFO - Epoch(train) [34][120/529] lr: 5.000000e-04 eta: 9:21:29 time: 0.353935 data_time: 0.030677 memory: 4565 loss: 0.000954 loss_kpt: 0.000954 acc_pose: 0.844393 2023/08/08 12:34:17 - mmengine - INFO - Epoch(train) [34][130/529] lr: 5.000000e-04 eta: 9:21:25 time: 0.355602 data_time: 0.030751 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.873151 2023/08/08 12:34:20 - mmengine - INFO - Epoch(train) [34][140/529] lr: 5.000000e-04 eta: 9:21:21 time: 0.354444 data_time: 0.030772 memory: 4565 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.865878 2023/08/08 12:34:24 - mmengine - INFO - Epoch(train) [34][150/529] lr: 5.000000e-04 eta: 9:21:17 time: 0.351816 data_time: 0.030496 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.831858 2023/08/08 12:34:27 - mmengine - INFO - Epoch(train) [34][160/529] lr: 5.000000e-04 eta: 9:21:13 time: 0.353284 data_time: 0.030606 memory: 4565 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.820807 2023/08/08 12:34:31 - mmengine - INFO - Epoch(train) [34][170/529] lr: 5.000000e-04 eta: 9:21:10 time: 0.357232 data_time: 0.034213 memory: 4565 loss: 0.001001 loss_kpt: 0.001001 acc_pose: 0.805624 2023/08/08 12:34:34 - mmengine - INFO - Epoch(train) [34][180/529] lr: 5.000000e-04 eta: 9:21:06 time: 0.355532 data_time: 0.034084 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.865999 2023/08/08 12:34:38 - mmengine - INFO - Epoch(train) [34][190/529] lr: 5.000000e-04 eta: 9:21:02 time: 0.355902 data_time: 0.034042 memory: 4565 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.838243 2023/08/08 12:34:41 - mmengine - INFO - Epoch(train) [34][200/529] lr: 5.000000e-04 eta: 9:20:58 time: 0.356136 data_time: 0.034088 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.861461 2023/08/08 12:34:45 - mmengine - INFO - Epoch(train) [34][210/529] lr: 5.000000e-04 eta: 9:20:54 time: 0.354174 data_time: 0.033808 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.856997 2023/08/08 12:34:49 - mmengine - INFO - Epoch(train) [34][220/529] lr: 5.000000e-04 eta: 9:20:51 time: 0.356757 data_time: 0.031138 memory: 4565 loss: 0.000971 loss_kpt: 0.000971 acc_pose: 0.817264 2023/08/08 12:34:53 - mmengine - INFO - Epoch(train) [34][230/529] lr: 5.000000e-04 eta: 9:20:49 time: 0.364784 data_time: 0.031840 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.788721 2023/08/08 12:34:56 - mmengine - INFO - Epoch(train) [34][240/529] lr: 5.000000e-04 eta: 9:20:45 time: 0.366027 data_time: 0.031888 memory: 4565 loss: 0.000970 loss_kpt: 0.000970 acc_pose: 0.814055 2023/08/08 12:35:00 - mmengine - INFO - Epoch(train) [34][250/529] lr: 5.000000e-04 eta: 9:20:41 time: 0.365788 data_time: 0.032007 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.893290 2023/08/08 12:35:03 - mmengine - INFO - Epoch(train) [34][260/529] lr: 5.000000e-04 eta: 9:20:37 time: 0.365589 data_time: 0.032132 memory: 4565 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.815082 2023/08/08 12:35:07 - mmengine - INFO - Epoch(train) [34][270/529] lr: 5.000000e-04 eta: 9:20:33 time: 0.359853 data_time: 0.031351 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.837169 2023/08/08 12:35:10 - mmengine - INFO - Epoch(train) [34][280/529] lr: 5.000000e-04 eta: 9:20:29 time: 0.352304 data_time: 0.031237 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.823831 2023/08/08 12:35:14 - mmengine - INFO - Epoch(train) [34][290/529] lr: 5.000000e-04 eta: 9:20:26 time: 0.353226 data_time: 0.031587 memory: 4565 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.830317 2023/08/08 12:35:17 - mmengine - INFO - Epoch(train) [34][300/529] lr: 5.000000e-04 eta: 9:20:22 time: 0.353963 data_time: 0.031876 memory: 4565 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.889025 2023/08/08 12:35:21 - mmengine - INFO - Epoch(train) [34][310/529] lr: 5.000000e-04 eta: 9:20:17 time: 0.353991 data_time: 0.031927 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.847160 2023/08/08 12:35:24 - mmengine - INFO - Epoch(train) [34][320/529] lr: 5.000000e-04 eta: 9:20:13 time: 0.353196 data_time: 0.031767 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.825650 2023/08/08 12:35:28 - mmengine - INFO - Epoch(train) [34][330/529] lr: 5.000000e-04 eta: 9:20:09 time: 0.352489 data_time: 0.031240 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.822014 2023/08/08 12:35:31 - mmengine - INFO - Epoch(train) [34][340/529] lr: 5.000000e-04 eta: 9:20:05 time: 0.350694 data_time: 0.031034 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.850758 2023/08/08 12:35:35 - mmengine - INFO - Epoch(train) [34][350/529] lr: 5.000000e-04 eta: 9:20:01 time: 0.350721 data_time: 0.030739 memory: 4565 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.843629 2023/08/08 12:35:39 - mmengine - INFO - Epoch(train) [34][360/529] lr: 5.000000e-04 eta: 9:19:57 time: 0.351761 data_time: 0.030912 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.820616 2023/08/08 12:35:42 - mmengine - INFO - Epoch(train) [34][370/529] lr: 5.000000e-04 eta: 9:19:53 time: 0.351318 data_time: 0.030809 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.822087 2023/08/08 12:35:46 - mmengine - INFO - Epoch(train) [34][380/529] lr: 5.000000e-04 eta: 9:19:49 time: 0.353438 data_time: 0.030799 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.783884 2023/08/08 12:35:49 - mmengine - INFO - Epoch(train) [34][390/529] lr: 5.000000e-04 eta: 9:19:45 time: 0.353665 data_time: 0.030772 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.829813 2023/08/08 12:35:53 - mmengine - INFO - Epoch(train) [34][400/529] lr: 5.000000e-04 eta: 9:19:41 time: 0.354115 data_time: 0.030986 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.861615 2023/08/08 12:35:56 - mmengine - INFO - Epoch(train) [34][410/529] lr: 5.000000e-04 eta: 9:19:38 time: 0.353936 data_time: 0.030817 memory: 4565 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.830405 2023/08/08 12:36:00 - mmengine - INFO - Epoch(train) [34][420/529] lr: 5.000000e-04 eta: 9:19:34 time: 0.355891 data_time: 0.030947 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.835873 2023/08/08 12:36:03 - mmengine - INFO - Epoch(train) [34][430/529] lr: 5.000000e-04 eta: 9:19:29 time: 0.353135 data_time: 0.030944 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.866736 2023/08/08 12:36:07 - mmengine - INFO - Epoch(train) [34][440/529] lr: 5.000000e-04 eta: 9:19:25 time: 0.352102 data_time: 0.030725 memory: 4565 loss: 0.000970 loss_kpt: 0.000970 acc_pose: 0.828363 2023/08/08 12:36:10 - mmengine - INFO - Epoch(train) [34][450/529] lr: 5.000000e-04 eta: 9:19:21 time: 0.351169 data_time: 0.030287 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.803827 2023/08/08 12:36:14 - mmengine - INFO - Epoch(train) [34][460/529] lr: 5.000000e-04 eta: 9:19:18 time: 0.353217 data_time: 0.030211 memory: 4565 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.804752 2023/08/08 12:36:17 - mmengine - INFO - Epoch(train) [34][470/529] lr: 5.000000e-04 eta: 9:19:14 time: 0.352310 data_time: 0.030347 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.859246 2023/08/08 12:36:21 - mmengine - INFO - Epoch(train) [34][480/529] lr: 5.000000e-04 eta: 9:19:10 time: 0.353208 data_time: 0.030782 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.866432 2023/08/08 12:36:24 - mmengine - INFO - Epoch(train) [34][490/529] lr: 5.000000e-04 eta: 9:19:05 time: 0.353560 data_time: 0.030939 memory: 4565 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.830917 2023/08/08 12:36:28 - mmengine - INFO - Epoch(train) [34][500/529] lr: 5.000000e-04 eta: 9:19:01 time: 0.353103 data_time: 0.031055 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.853257 2023/08/08 12:36:31 - mmengine - INFO - Epoch(train) [34][510/529] lr: 5.000000e-04 eta: 9:18:57 time: 0.349836 data_time: 0.031003 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.779005 2023/08/08 12:36:35 - mmengine - INFO - Epoch(train) [34][520/529] lr: 5.000000e-04 eta: 9:18:53 time: 0.349325 data_time: 0.030851 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.848569 2023/08/08 12:36:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:36:42 - mmengine - INFO - Epoch(train) [35][ 10/529] lr: 5.000000e-04 eta: 9:18:48 time: 0.360187 data_time: 0.034460 memory: 4565 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.838067 2023/08/08 12:36:44 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:36:46 - mmengine - INFO - Epoch(train) [35][ 20/529] lr: 5.000000e-04 eta: 9:18:46 time: 0.367784 data_time: 0.034859 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.826804 2023/08/08 12:36:50 - mmengine - INFO - Epoch(train) [35][ 30/529] lr: 5.000000e-04 eta: 9:18:43 time: 0.375653 data_time: 0.035222 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.869607 2023/08/08 12:36:54 - mmengine - INFO - Epoch(train) [35][ 40/529] lr: 5.000000e-04 eta: 9:18:41 time: 0.382432 data_time: 0.036081 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.894809 2023/08/08 12:36:57 - mmengine - INFO - Epoch(train) [35][ 50/529] lr: 5.000000e-04 eta: 9:18:37 time: 0.379828 data_time: 0.036394 memory: 4565 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.778383 2023/08/08 12:37:01 - mmengine - INFO - Epoch(train) [35][ 60/529] lr: 5.000000e-04 eta: 9:18:32 time: 0.369424 data_time: 0.032247 memory: 4565 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.849405 2023/08/08 12:37:04 - mmengine - INFO - Epoch(train) [35][ 70/529] lr: 5.000000e-04 eta: 9:18:28 time: 0.361659 data_time: 0.031989 memory: 4565 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.780591 2023/08/08 12:37:07 - mmengine - INFO - Epoch(train) [35][ 80/529] lr: 5.000000e-04 eta: 9:18:24 time: 0.352706 data_time: 0.031523 memory: 4565 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.857740 2023/08/08 12:37:11 - mmengine - INFO - Epoch(train) [35][ 90/529] lr: 5.000000e-04 eta: 9:18:19 time: 0.344532 data_time: 0.030619 memory: 4565 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.843947 2023/08/08 12:37:14 - mmengine - INFO - Epoch(train) [35][100/529] lr: 5.000000e-04 eta: 9:18:15 time: 0.347296 data_time: 0.033863 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.845456 2023/08/08 12:37:18 - mmengine - INFO - Epoch(train) [35][110/529] lr: 5.000000e-04 eta: 9:18:11 time: 0.346405 data_time: 0.033677 memory: 4565 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.830966 2023/08/08 12:37:21 - mmengine - INFO - Epoch(train) [35][120/529] lr: 5.000000e-04 eta: 9:18:06 time: 0.346230 data_time: 0.033723 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.839549 2023/08/08 12:37:25 - mmengine - INFO - Epoch(train) [35][130/529] lr: 5.000000e-04 eta: 9:18:02 time: 0.347603 data_time: 0.034115 memory: 4565 loss: 0.000972 loss_kpt: 0.000972 acc_pose: 0.860922 2023/08/08 12:37:28 - mmengine - INFO - Epoch(train) [35][140/529] lr: 5.000000e-04 eta: 9:17:58 time: 0.349197 data_time: 0.035447 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.823811 2023/08/08 12:37:32 - mmengine - INFO - Epoch(train) [35][150/529] lr: 5.000000e-04 eta: 9:17:54 time: 0.347447 data_time: 0.032537 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.878977 2023/08/08 12:37:35 - mmengine - INFO - Epoch(train) [35][160/529] lr: 5.000000e-04 eta: 9:17:50 time: 0.348423 data_time: 0.032998 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.826661 2023/08/08 12:37:39 - mmengine - INFO - Epoch(train) [35][170/529] lr: 5.000000e-04 eta: 9:17:46 time: 0.349041 data_time: 0.033323 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.801599 2023/08/08 12:37:42 - mmengine - INFO - Epoch(train) [35][180/529] lr: 5.000000e-04 eta: 9:17:42 time: 0.351234 data_time: 0.033092 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.874402 2023/08/08 12:37:46 - mmengine - INFO - Epoch(train) [35][190/529] lr: 5.000000e-04 eta: 9:17:39 time: 0.355979 data_time: 0.032562 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.866704 2023/08/08 12:37:50 - mmengine - INFO - Epoch(train) [35][200/529] lr: 5.000000e-04 eta: 9:17:35 time: 0.354162 data_time: 0.032077 memory: 4565 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.788242 2023/08/08 12:37:53 - mmengine - INFO - Epoch(train) [35][210/529] lr: 5.000000e-04 eta: 9:17:32 time: 0.361268 data_time: 0.031629 memory: 4565 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.799022 2023/08/08 12:37:57 - mmengine - INFO - Epoch(train) [35][220/529] lr: 5.000000e-04 eta: 9:17:30 time: 0.369909 data_time: 0.031010 memory: 4565 loss: 0.001006 loss_kpt: 0.001006 acc_pose: 0.874438 2023/08/08 12:38:01 - mmengine - INFO - Epoch(train) [35][230/529] lr: 5.000000e-04 eta: 9:17:26 time: 0.369390 data_time: 0.031059 memory: 4565 loss: 0.001037 loss_kpt: 0.001037 acc_pose: 0.716902 2023/08/08 12:38:04 - mmengine - INFO - Epoch(train) [35][240/529] lr: 5.000000e-04 eta: 9:17:22 time: 0.364731 data_time: 0.030468 memory: 4565 loss: 0.001046 loss_kpt: 0.001046 acc_pose: 0.795144 2023/08/08 12:38:08 - mmengine - INFO - Epoch(train) [35][250/529] lr: 5.000000e-04 eta: 9:17:18 time: 0.366108 data_time: 0.030762 memory: 4565 loss: 0.001039 loss_kpt: 0.001039 acc_pose: 0.874211 2023/08/08 12:38:11 - mmengine - INFO - Epoch(train) [35][260/529] lr: 5.000000e-04 eta: 9:17:13 time: 0.357625 data_time: 0.030708 memory: 4565 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.859627 2023/08/08 12:38:15 - mmengine - INFO - Epoch(train) [35][270/529] lr: 5.000000e-04 eta: 9:17:09 time: 0.347147 data_time: 0.030812 memory: 4565 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.756260 2023/08/08 12:38:18 - mmengine - INFO - Epoch(train) [35][280/529] lr: 5.000000e-04 eta: 9:17:04 time: 0.343916 data_time: 0.030765 memory: 4565 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.808448 2023/08/08 12:38:22 - mmengine - INFO - Epoch(train) [35][290/529] lr: 5.000000e-04 eta: 9:17:00 time: 0.342373 data_time: 0.030777 memory: 4565 loss: 0.000971 loss_kpt: 0.000971 acc_pose: 0.759019 2023/08/08 12:38:25 - mmengine - INFO - Epoch(train) [35][300/529] lr: 5.000000e-04 eta: 9:16:55 time: 0.341252 data_time: 0.030530 memory: 4565 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.807666 2023/08/08 12:38:29 - mmengine - INFO - Epoch(train) [35][310/529] lr: 5.000000e-04 eta: 9:16:52 time: 0.347975 data_time: 0.031211 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.888965 2023/08/08 12:38:33 - mmengine - INFO - Epoch(train) [35][320/529] lr: 5.000000e-04 eta: 9:16:50 time: 0.357685 data_time: 0.032326 memory: 4565 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.831695 2023/08/08 12:38:37 - mmengine - INFO - Epoch(train) [35][330/529] lr: 5.000000e-04 eta: 9:16:48 time: 0.368629 data_time: 0.033385 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.826246 2023/08/08 12:38:40 - mmengine - INFO - Epoch(train) [35][340/529] lr: 5.000000e-04 eta: 9:16:44 time: 0.368222 data_time: 0.033196 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.830074 2023/08/08 12:38:44 - mmengine - INFO - Epoch(train) [35][350/529] lr: 5.000000e-04 eta: 9:16:40 time: 0.372855 data_time: 0.036747 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.817410 2023/08/08 12:38:47 - mmengine - INFO - Epoch(train) [35][360/529] lr: 5.000000e-04 eta: 9:16:37 time: 0.369554 data_time: 0.036115 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.899367 2023/08/08 12:38:51 - mmengine - INFO - Epoch(train) [35][370/529] lr: 5.000000e-04 eta: 9:16:33 time: 0.362069 data_time: 0.035300 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.804170 2023/08/08 12:38:54 - mmengine - INFO - Epoch(train) [35][380/529] lr: 5.000000e-04 eta: 9:16:28 time: 0.351350 data_time: 0.034254 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.778145 2023/08/08 12:38:58 - mmengine - INFO - Epoch(train) [35][390/529] lr: 5.000000e-04 eta: 9:16:24 time: 0.351467 data_time: 0.034323 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.720108 2023/08/08 12:39:01 - mmengine - INFO - Epoch(train) [35][400/529] lr: 5.000000e-04 eta: 9:16:19 time: 0.346441 data_time: 0.030709 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.719212 2023/08/08 12:39:04 - mmengine - INFO - Epoch(train) [35][410/529] lr: 5.000000e-04 eta: 9:16:14 time: 0.342734 data_time: 0.030764 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.735424 2023/08/08 12:39:08 - mmengine - INFO - Epoch(train) [35][420/529] lr: 5.000000e-04 eta: 9:16:10 time: 0.340588 data_time: 0.030510 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.822878 2023/08/08 12:39:11 - mmengine - INFO - Epoch(train) [35][430/529] lr: 5.000000e-04 eta: 9:16:06 time: 0.341879 data_time: 0.030610 memory: 4565 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.803832 2023/08/08 12:39:15 - mmengine - INFO - Epoch(train) [35][440/529] lr: 5.000000e-04 eta: 9:16:01 time: 0.343176 data_time: 0.031179 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.878012 2023/08/08 12:39:18 - mmengine - INFO - Epoch(train) [35][450/529] lr: 5.000000e-04 eta: 9:15:57 time: 0.343265 data_time: 0.031145 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.810714 2023/08/08 12:39:22 - mmengine - INFO - Epoch(train) [35][460/529] lr: 5.000000e-04 eta: 9:15:53 time: 0.344766 data_time: 0.030981 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.812794 2023/08/08 12:39:25 - mmengine - INFO - Epoch(train) [35][470/529] lr: 5.000000e-04 eta: 9:15:48 time: 0.346689 data_time: 0.030935 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.877548 2023/08/08 12:39:29 - mmengine - INFO - Epoch(train) [35][480/529] lr: 5.000000e-04 eta: 9:15:44 time: 0.347294 data_time: 0.030845 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.779255 2023/08/08 12:39:32 - mmengine - INFO - Epoch(train) [35][490/529] lr: 5.000000e-04 eta: 9:15:41 time: 0.349224 data_time: 0.030534 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.817608 2023/08/08 12:39:36 - mmengine - INFO - Epoch(train) [35][500/529] lr: 5.000000e-04 eta: 9:15:37 time: 0.351126 data_time: 0.031485 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.802903 2023/08/08 12:39:39 - mmengine - INFO - Epoch(train) [35][510/529] lr: 5.000000e-04 eta: 9:15:32 time: 0.350746 data_time: 0.032865 memory: 4565 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.794539 2023/08/08 12:39:43 - mmengine - INFO - Epoch(train) [35][520/529] lr: 5.000000e-04 eta: 9:15:28 time: 0.349236 data_time: 0.033909 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.885129 2023/08/08 12:39:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:39:49 - mmengine - INFO - Epoch(train) [36][ 10/529] lr: 5.000000e-04 eta: 9:15:21 time: 0.352265 data_time: 0.037611 memory: 4565 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.825311 2023/08/08 12:39:53 - mmengine - INFO - Epoch(train) [36][ 20/529] lr: 5.000000e-04 eta: 9:15:17 time: 0.350172 data_time: 0.036827 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.801123 2023/08/08 12:39:57 - mmengine - INFO - Epoch(train) [36][ 30/529] lr: 5.000000e-04 eta: 9:15:13 time: 0.355137 data_time: 0.039778 memory: 4565 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.861170 2023/08/08 12:40:00 - mmengine - INFO - Epoch(train) [36][ 40/529] lr: 5.000000e-04 eta: 9:15:09 time: 0.354170 data_time: 0.038756 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.825454 2023/08/08 12:40:03 - mmengine - INFO - Epoch(train) [36][ 50/529] lr: 5.000000e-04 eta: 9:15:04 time: 0.354348 data_time: 0.038725 memory: 4565 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.803811 2023/08/08 12:40:07 - mmengine - INFO - Epoch(train) [36][ 60/529] lr: 5.000000e-04 eta: 9:14:59 time: 0.345837 data_time: 0.034838 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.930686 2023/08/08 12:40:10 - mmengine - INFO - Epoch(train) [36][ 70/529] lr: 5.000000e-04 eta: 9:14:55 time: 0.344961 data_time: 0.034884 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.842561 2023/08/08 12:40:13 - mmengine - INFO - Epoch(train) [36][ 80/529] lr: 5.000000e-04 eta: 9:14:50 time: 0.338936 data_time: 0.030667 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.853650 2023/08/08 12:40:17 - mmengine - INFO - Epoch(train) [36][ 90/529] lr: 5.000000e-04 eta: 9:14:48 time: 0.350333 data_time: 0.031563 memory: 4565 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.806712 2023/08/08 12:40:21 - mmengine - INFO - Epoch(train) [36][100/529] lr: 5.000000e-04 eta: 9:14:46 time: 0.360022 data_time: 0.031828 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.782450 2023/08/08 12:40:25 - mmengine - INFO - Epoch(train) [36][110/529] lr: 5.000000e-04 eta: 9:14:43 time: 0.367795 data_time: 0.032252 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.844336 2023/08/08 12:40:28 - mmengine - INFO - Epoch(train) [36][120/529] lr: 5.000000e-04 eta: 9:14:39 time: 0.368017 data_time: 0.031995 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.826982 2023/08/08 12:40:32 - mmengine - INFO - Epoch(train) [36][130/529] lr: 5.000000e-04 eta: 9:14:34 time: 0.368682 data_time: 0.031938 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.773942 2023/08/08 12:40:35 - mmengine - INFO - Epoch(train) [36][140/529] lr: 5.000000e-04 eta: 9:14:30 time: 0.358373 data_time: 0.031000 memory: 4565 loss: 0.000954 loss_kpt: 0.000954 acc_pose: 0.800348 2023/08/08 12:40:39 - mmengine - INFO - Epoch(train) [36][150/529] lr: 5.000000e-04 eta: 9:14:26 time: 0.351242 data_time: 0.031178 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.872867 2023/08/08 12:40:43 - mmengine - INFO - Epoch(train) [36][160/529] lr: 5.000000e-04 eta: 9:14:23 time: 0.349505 data_time: 0.032028 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.854955 2023/08/08 12:40:46 - mmengine - INFO - Epoch(train) [36][170/529] lr: 5.000000e-04 eta: 9:14:19 time: 0.351816 data_time: 0.033041 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.902946 2023/08/08 12:40:50 - mmengine - INFO - Epoch(train) [36][180/529] lr: 5.000000e-04 eta: 9:14:15 time: 0.353315 data_time: 0.033311 memory: 4565 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.829052 2023/08/08 12:40:53 - mmengine - INFO - Epoch(train) [36][190/529] lr: 5.000000e-04 eta: 9:14:11 time: 0.353867 data_time: 0.033380 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.830002 2023/08/08 12:40:57 - mmengine - INFO - Epoch(train) [36][200/529] lr: 5.000000e-04 eta: 9:14:07 time: 0.356856 data_time: 0.036609 memory: 4565 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.857307 2023/08/08 12:41:00 - mmengine - INFO - Epoch(train) [36][210/529] lr: 5.000000e-04 eta: 9:14:03 time: 0.354049 data_time: 0.035910 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.851030 2023/08/08 12:41:04 - mmengine - INFO - Epoch(train) [36][220/529] lr: 5.000000e-04 eta: 9:13:59 time: 0.352636 data_time: 0.035037 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.802213 2023/08/08 12:41:07 - mmengine - INFO - Epoch(train) [36][230/529] lr: 5.000000e-04 eta: 9:13:55 time: 0.351837 data_time: 0.034973 memory: 4565 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.799350 2023/08/08 12:41:11 - mmengine - INFO - Epoch(train) [36][240/529] lr: 5.000000e-04 eta: 9:13:51 time: 0.351879 data_time: 0.034887 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.847349 2023/08/08 12:41:14 - mmengine - INFO - Epoch(train) [36][250/529] lr: 5.000000e-04 eta: 9:13:46 time: 0.348605 data_time: 0.031438 memory: 4565 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.824964 2023/08/08 12:41:18 - mmengine - INFO - Epoch(train) [36][260/529] lr: 5.000000e-04 eta: 9:13:42 time: 0.348142 data_time: 0.031149 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.830611 2023/08/08 12:41:21 - mmengine - INFO - Epoch(train) [36][270/529] lr: 5.000000e-04 eta: 9:13:39 time: 0.350269 data_time: 0.031856 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.806548 2023/08/08 12:41:25 - mmengine - INFO - Epoch(train) [36][280/529] lr: 5.000000e-04 eta: 9:13:35 time: 0.350925 data_time: 0.031748 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.818126 2023/08/08 12:41:28 - mmengine - INFO - Epoch(train) [36][290/529] lr: 5.000000e-04 eta: 9:13:30 time: 0.350738 data_time: 0.031817 memory: 4565 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.738494 2023/08/08 12:41:32 - mmengine - INFO - Epoch(train) [36][300/529] lr: 5.000000e-04 eta: 9:13:26 time: 0.350151 data_time: 0.031509 memory: 4565 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.859279 2023/08/08 12:41:35 - mmengine - INFO - Epoch(train) [36][310/529] lr: 5.000000e-04 eta: 9:13:22 time: 0.349312 data_time: 0.031248 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.838092 2023/08/08 12:41:39 - mmengine - INFO - Epoch(train) [36][320/529] lr: 5.000000e-04 eta: 9:13:18 time: 0.350601 data_time: 0.031306 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.860569 2023/08/08 12:41:42 - mmengine - INFO - Epoch(train) [36][330/529] lr: 5.000000e-04 eta: 9:13:15 time: 0.351718 data_time: 0.032480 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.893440 2023/08/08 12:41:46 - mmengine - INFO - Epoch(train) [36][340/529] lr: 5.000000e-04 eta: 9:13:10 time: 0.351951 data_time: 0.033072 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.826820 2023/08/08 12:41:49 - mmengine - INFO - Epoch(train) [36][350/529] lr: 5.000000e-04 eta: 9:13:07 time: 0.355243 data_time: 0.033514 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.876576 2023/08/08 12:41:53 - mmengine - INFO - Epoch(train) [36][360/529] lr: 5.000000e-04 eta: 9:13:03 time: 0.355428 data_time: 0.033749 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.840138 2023/08/08 12:41:56 - mmengine - INFO - Epoch(train) [36][370/529] lr: 5.000000e-04 eta: 9:12:59 time: 0.352900 data_time: 0.033022 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.828622 2023/08/08 12:42:00 - mmengine - INFO - Epoch(train) [36][380/529] lr: 5.000000e-04 eta: 9:12:55 time: 0.351613 data_time: 0.031795 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.905901 2023/08/08 12:42:03 - mmengine - INFO - Epoch(train) [36][390/529] lr: 5.000000e-04 eta: 9:12:51 time: 0.353728 data_time: 0.031556 memory: 4565 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.874066 2023/08/08 12:42:07 - mmengine - INFO - Epoch(train) [36][400/529] lr: 5.000000e-04 eta: 9:12:47 time: 0.353336 data_time: 0.031306 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.799286 2023/08/08 12:42:11 - mmengine - INFO - Epoch(train) [36][410/529] lr: 5.000000e-04 eta: 9:12:43 time: 0.353706 data_time: 0.031308 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.827713 2023/08/08 12:42:14 - mmengine - INFO - Epoch(train) [36][420/529] lr: 5.000000e-04 eta: 9:12:39 time: 0.353583 data_time: 0.031736 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.773124 2023/08/08 12:42:18 - mmengine - INFO - Epoch(train) [36][430/529] lr: 5.000000e-04 eta: 9:12:36 time: 0.355903 data_time: 0.033150 memory: 4565 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.817305 2023/08/08 12:42:21 - mmengine - INFO - Epoch(train) [36][440/529] lr: 5.000000e-04 eta: 9:12:32 time: 0.354309 data_time: 0.033254 memory: 4565 loss: 0.000975 loss_kpt: 0.000975 acc_pose: 0.827114 2023/08/08 12:42:25 - mmengine - INFO - Epoch(train) [36][450/529] lr: 5.000000e-04 eta: 9:12:28 time: 0.353166 data_time: 0.033805 memory: 4565 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.851041 2023/08/08 12:42:28 - mmengine - INFO - Epoch(train) [36][460/529] lr: 5.000000e-04 eta: 9:12:24 time: 0.353781 data_time: 0.033755 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.842984 2023/08/08 12:42:32 - mmengine - INFO - Epoch(train) [36][470/529] lr: 5.000000e-04 eta: 9:12:21 time: 0.358360 data_time: 0.033567 memory: 4565 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.778771 2023/08/08 12:42:36 - mmengine - INFO - Epoch(train) [36][480/529] lr: 5.000000e-04 eta: 9:12:17 time: 0.358317 data_time: 0.032862 memory: 4565 loss: 0.000992 loss_kpt: 0.000992 acc_pose: 0.790567 2023/08/08 12:42:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:42:39 - mmengine - INFO - Epoch(train) [36][490/529] lr: 5.000000e-04 eta: 9:12:13 time: 0.357288 data_time: 0.032354 memory: 4565 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.886143 2023/08/08 12:42:43 - mmengine - INFO - Epoch(train) [36][500/529] lr: 5.000000e-04 eta: 9:12:10 time: 0.360254 data_time: 0.031934 memory: 4565 loss: 0.000975 loss_kpt: 0.000975 acc_pose: 0.794497 2023/08/08 12:42:46 - mmengine - INFO - Epoch(train) [36][510/529] lr: 5.000000e-04 eta: 9:12:06 time: 0.360180 data_time: 0.032215 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.853148 2023/08/08 12:42:50 - mmengine - INFO - Epoch(train) [36][520/529] lr: 5.000000e-04 eta: 9:12:02 time: 0.357168 data_time: 0.032377 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.849256 2023/08/08 12:42:53 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:42:57 - mmengine - INFO - Epoch(train) [37][ 10/529] lr: 5.000000e-04 eta: 9:11:55 time: 0.358399 data_time: 0.035458 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.881942 2023/08/08 12:43:01 - mmengine - INFO - Epoch(train) [37][ 20/529] lr: 5.000000e-04 eta: 9:11:53 time: 0.361816 data_time: 0.035712 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.804227 2023/08/08 12:43:04 - mmengine - INFO - Epoch(train) [37][ 30/529] lr: 5.000000e-04 eta: 9:11:49 time: 0.360757 data_time: 0.035296 memory: 4565 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.824334 2023/08/08 12:43:07 - mmengine - INFO - Epoch(train) [37][ 40/529] lr: 5.000000e-04 eta: 9:11:44 time: 0.358739 data_time: 0.035038 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.819205 2023/08/08 12:43:11 - mmengine - INFO - Epoch(train) [37][ 50/529] lr: 5.000000e-04 eta: 9:11:40 time: 0.359472 data_time: 0.035337 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.846358 2023/08/08 12:43:14 - mmengine - INFO - Epoch(train) [37][ 60/529] lr: 5.000000e-04 eta: 9:11:36 time: 0.353554 data_time: 0.031131 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.830021 2023/08/08 12:43:18 - mmengine - INFO - Epoch(train) [37][ 70/529] lr: 5.000000e-04 eta: 9:11:31 time: 0.345339 data_time: 0.031124 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.883348 2023/08/08 12:43:21 - mmengine - INFO - Epoch(train) [37][ 80/529] lr: 5.000000e-04 eta: 9:11:27 time: 0.344092 data_time: 0.031853 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.811677 2023/08/08 12:43:25 - mmengine - INFO - Epoch(train) [37][ 90/529] lr: 5.000000e-04 eta: 9:11:22 time: 0.343380 data_time: 0.032463 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.807318 2023/08/08 12:43:28 - mmengine - INFO - Epoch(train) [37][100/529] lr: 5.000000e-04 eta: 9:11:19 time: 0.345696 data_time: 0.032843 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.881631 2023/08/08 12:43:32 - mmengine - INFO - Epoch(train) [37][110/529] lr: 5.000000e-04 eta: 9:11:15 time: 0.347789 data_time: 0.033491 memory: 4565 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.827047 2023/08/08 12:43:35 - mmengine - INFO - Epoch(train) [37][120/529] lr: 5.000000e-04 eta: 9:11:11 time: 0.348434 data_time: 0.032863 memory: 4565 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.810009 2023/08/08 12:43:39 - mmengine - INFO - Epoch(train) [37][130/529] lr: 5.000000e-04 eta: 9:11:06 time: 0.348397 data_time: 0.032276 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.859743 2023/08/08 12:43:42 - mmengine - INFO - Epoch(train) [37][140/529] lr: 5.000000e-04 eta: 9:11:02 time: 0.347636 data_time: 0.031961 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.801402 2023/08/08 12:43:45 - mmengine - INFO - Epoch(train) [37][150/529] lr: 5.000000e-04 eta: 9:10:57 time: 0.344684 data_time: 0.031756 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.894880 2023/08/08 12:43:49 - mmengine - INFO - Epoch(train) [37][160/529] lr: 5.000000e-04 eta: 9:10:54 time: 0.346347 data_time: 0.031720 memory: 4565 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.761186 2023/08/08 12:43:53 - mmengine - INFO - Epoch(train) [37][170/529] lr: 5.000000e-04 eta: 9:10:50 time: 0.347307 data_time: 0.032049 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.850765 2023/08/08 12:43:56 - mmengine - INFO - Epoch(train) [37][180/529] lr: 5.000000e-04 eta: 9:10:45 time: 0.347140 data_time: 0.031846 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.802054 2023/08/08 12:43:59 - mmengine - INFO - Epoch(train) [37][190/529] lr: 5.000000e-04 eta: 9:10:41 time: 0.347872 data_time: 0.031657 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.831242 2023/08/08 12:44:03 - mmengine - INFO - Epoch(train) [37][200/529] lr: 5.000000e-04 eta: 9:10:36 time: 0.346882 data_time: 0.031377 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.883216 2023/08/08 12:44:06 - mmengine - INFO - Epoch(train) [37][210/529] lr: 5.000000e-04 eta: 9:10:32 time: 0.346544 data_time: 0.031048 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.808965 2023/08/08 12:44:10 - mmengine - INFO - Epoch(train) [37][220/529] lr: 5.000000e-04 eta: 9:10:28 time: 0.344259 data_time: 0.030781 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.786114 2023/08/08 12:44:13 - mmengine - INFO - Epoch(train) [37][230/529] lr: 5.000000e-04 eta: 9:10:24 time: 0.346303 data_time: 0.031137 memory: 4565 loss: 0.000983 loss_kpt: 0.000983 acc_pose: 0.794944 2023/08/08 12:44:17 - mmengine - INFO - Epoch(train) [37][240/529] lr: 5.000000e-04 eta: 9:10:20 time: 0.348036 data_time: 0.031512 memory: 4565 loss: 0.000989 loss_kpt: 0.000989 acc_pose: 0.821772 2023/08/08 12:44:20 - mmengine - INFO - Epoch(train) [37][250/529] lr: 5.000000e-04 eta: 9:10:16 time: 0.349248 data_time: 0.032070 memory: 4565 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.852814 2023/08/08 12:44:24 - mmengine - INFO - Epoch(train) [37][260/529] lr: 5.000000e-04 eta: 9:10:11 time: 0.346240 data_time: 0.032449 memory: 4565 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.855501 2023/08/08 12:44:27 - mmengine - INFO - Epoch(train) [37][270/529] lr: 5.000000e-04 eta: 9:10:07 time: 0.347571 data_time: 0.033500 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.883717 2023/08/08 12:44:31 - mmengine - INFO - Epoch(train) [37][280/529] lr: 5.000000e-04 eta: 9:10:03 time: 0.348755 data_time: 0.033898 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.863226 2023/08/08 12:44:34 - mmengine - INFO - Epoch(train) [37][290/529] lr: 5.000000e-04 eta: 9:09:59 time: 0.347489 data_time: 0.033518 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.830511 2023/08/08 12:44:38 - mmengine - INFO - Epoch(train) [37][300/529] lr: 5.000000e-04 eta: 9:09:55 time: 0.347825 data_time: 0.032968 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.840638 2023/08/08 12:44:41 - mmengine - INFO - Epoch(train) [37][310/529] lr: 5.000000e-04 eta: 9:09:51 time: 0.348198 data_time: 0.032645 memory: 4565 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.827970 2023/08/08 12:44:45 - mmengine - INFO - Epoch(train) [37][320/529] lr: 5.000000e-04 eta: 9:09:47 time: 0.349349 data_time: 0.031529 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.816297 2023/08/08 12:44:48 - mmengine - INFO - Epoch(train) [37][330/529] lr: 5.000000e-04 eta: 9:09:42 time: 0.346340 data_time: 0.030646 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.857683 2023/08/08 12:44:51 - mmengine - INFO - Epoch(train) [37][340/529] lr: 5.000000e-04 eta: 9:09:38 time: 0.345327 data_time: 0.030490 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.880620 2023/08/08 12:44:55 - mmengine - INFO - Epoch(train) [37][350/529] lr: 5.000000e-04 eta: 9:09:33 time: 0.344857 data_time: 0.030488 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.820169 2023/08/08 12:44:58 - mmengine - INFO - Epoch(train) [37][360/529] lr: 5.000000e-04 eta: 9:09:29 time: 0.346558 data_time: 0.031042 memory: 4565 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.788774 2023/08/08 12:45:02 - mmengine - INFO - Epoch(train) [37][370/529] lr: 5.000000e-04 eta: 9:09:25 time: 0.345393 data_time: 0.032014 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.815892 2023/08/08 12:45:05 - mmengine - INFO - Epoch(train) [37][380/529] lr: 5.000000e-04 eta: 9:09:21 time: 0.346639 data_time: 0.032965 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.827050 2023/08/08 12:45:09 - mmengine - INFO - Epoch(train) [37][390/529] lr: 5.000000e-04 eta: 9:09:17 time: 0.348000 data_time: 0.033817 memory: 4565 loss: 0.000970 loss_kpt: 0.000970 acc_pose: 0.814726 2023/08/08 12:45:12 - mmengine - INFO - Epoch(train) [37][400/529] lr: 5.000000e-04 eta: 9:09:13 time: 0.348570 data_time: 0.034469 memory: 4565 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.808433 2023/08/08 12:45:16 - mmengine - INFO - Epoch(train) [37][410/529] lr: 5.000000e-04 eta: 9:09:08 time: 0.346760 data_time: 0.034655 memory: 4565 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.803587 2023/08/08 12:45:20 - mmengine - INFO - Epoch(train) [37][420/529] lr: 5.000000e-04 eta: 9:09:05 time: 0.351631 data_time: 0.037741 memory: 4565 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.796497 2023/08/08 12:45:23 - mmengine - INFO - Epoch(train) [37][430/529] lr: 5.000000e-04 eta: 9:09:01 time: 0.351774 data_time: 0.036856 memory: 4565 loss: 0.000970 loss_kpt: 0.000970 acc_pose: 0.810469 2023/08/08 12:45:27 - mmengine - INFO - Epoch(train) [37][440/529] lr: 5.000000e-04 eta: 9:08:57 time: 0.352530 data_time: 0.036028 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.869365 2023/08/08 12:45:30 - mmengine - INFO - Epoch(train) [37][450/529] lr: 5.000000e-04 eta: 9:08:53 time: 0.352714 data_time: 0.035346 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.856467 2023/08/08 12:45:33 - mmengine - INFO - Epoch(train) [37][460/529] lr: 5.000000e-04 eta: 9:08:49 time: 0.353994 data_time: 0.034524 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.775658 2023/08/08 12:45:37 - mmengine - INFO - Epoch(train) [37][470/529] lr: 5.000000e-04 eta: 9:08:45 time: 0.349622 data_time: 0.030786 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.762533 2023/08/08 12:45:41 - mmengine - INFO - Epoch(train) [37][480/529] lr: 5.000000e-04 eta: 9:08:41 time: 0.351398 data_time: 0.030925 memory: 4565 loss: 0.000954 loss_kpt: 0.000954 acc_pose: 0.765569 2023/08/08 12:45:44 - mmengine - INFO - Epoch(train) [37][490/529] lr: 5.000000e-04 eta: 9:08:38 time: 0.352565 data_time: 0.030898 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.780334 2023/08/08 12:45:48 - mmengine - INFO - Epoch(train) [37][500/529] lr: 5.000000e-04 eta: 9:08:33 time: 0.352214 data_time: 0.030856 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.886434 2023/08/08 12:45:51 - mmengine - INFO - Epoch(train) [37][510/529] lr: 5.000000e-04 eta: 9:08:29 time: 0.350633 data_time: 0.030648 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.861594 2023/08/08 12:45:54 - mmengine - INFO - Epoch(train) [37][520/529] lr: 5.000000e-04 eta: 9:08:25 time: 0.349210 data_time: 0.030512 memory: 4565 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.823428 2023/08/08 12:45:57 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:46:01 - mmengine - INFO - Epoch(train) [38][ 10/529] lr: 5.000000e-04 eta: 9:08:18 time: 0.348521 data_time: 0.034139 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.848967 2023/08/08 12:46:05 - mmengine - INFO - Epoch(train) [38][ 20/529] lr: 5.000000e-04 eta: 9:08:13 time: 0.348230 data_time: 0.034081 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.853161 2023/08/08 12:46:08 - mmengine - INFO - Epoch(train) [38][ 30/529] lr: 5.000000e-04 eta: 9:08:09 time: 0.348272 data_time: 0.034113 memory: 4565 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.892723 2023/08/08 12:46:12 - mmengine - INFO - Epoch(train) [38][ 40/529] lr: 5.000000e-04 eta: 9:08:05 time: 0.348222 data_time: 0.034144 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.882700 2023/08/08 12:46:15 - mmengine - INFO - Epoch(train) [38][ 50/529] lr: 5.000000e-04 eta: 9:08:00 time: 0.349305 data_time: 0.034454 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.869507 2023/08/08 12:46:18 - mmengine - INFO - Epoch(train) [38][ 60/529] lr: 5.000000e-04 eta: 9:07:56 time: 0.343730 data_time: 0.031699 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.832505 2023/08/08 12:46:22 - mmengine - INFO - Epoch(train) [38][ 70/529] lr: 5.000000e-04 eta: 9:07:52 time: 0.344237 data_time: 0.032154 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.808814 2023/08/08 12:46:26 - mmengine - INFO - Epoch(train) [38][ 80/529] lr: 5.000000e-04 eta: 9:07:50 time: 0.353956 data_time: 0.032902 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.802934 2023/08/08 12:46:29 - mmengine - INFO - Epoch(train) [38][ 90/529] lr: 5.000000e-04 eta: 9:07:45 time: 0.353466 data_time: 0.033521 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.862621 2023/08/08 12:46:33 - mmengine - INFO - Epoch(train) [38][100/529] lr: 5.000000e-04 eta: 9:07:41 time: 0.353394 data_time: 0.034235 memory: 4565 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.879377 2023/08/08 12:46:36 - mmengine - INFO - Epoch(train) [38][110/529] lr: 5.000000e-04 eta: 9:07:36 time: 0.351821 data_time: 0.033161 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.879072 2023/08/08 12:46:40 - mmengine - INFO - Epoch(train) [38][120/529] lr: 5.000000e-04 eta: 9:07:32 time: 0.353518 data_time: 0.032786 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.867112 2023/08/08 12:46:43 - mmengine - INFO - Epoch(train) [38][130/529] lr: 5.000000e-04 eta: 9:07:28 time: 0.343722 data_time: 0.032133 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.771701 2023/08/08 12:46:47 - mmengine - INFO - Epoch(train) [38][140/529] lr: 5.000000e-04 eta: 9:07:24 time: 0.345372 data_time: 0.031776 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.820489 2023/08/08 12:46:50 - mmengine - INFO - Epoch(train) [38][150/529] lr: 5.000000e-04 eta: 9:07:20 time: 0.346303 data_time: 0.031316 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.893700 2023/08/08 12:46:54 - mmengine - INFO - Epoch(train) [38][160/529] lr: 5.000000e-04 eta: 9:07:16 time: 0.349872 data_time: 0.034748 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.866748 2023/08/08 12:46:57 - mmengine - INFO - Epoch(train) [38][170/529] lr: 5.000000e-04 eta: 9:07:13 time: 0.352264 data_time: 0.034979 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.858845 2023/08/08 12:47:01 - mmengine - INFO - Epoch(train) [38][180/529] lr: 5.000000e-04 eta: 9:07:11 time: 0.361617 data_time: 0.035313 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.870221 2023/08/08 12:47:05 - mmengine - INFO - Epoch(train) [38][190/529] lr: 5.000000e-04 eta: 9:07:07 time: 0.363819 data_time: 0.035281 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.831357 2023/08/08 12:47:08 - mmengine - INFO - Epoch(train) [38][200/529] lr: 5.000000e-04 eta: 9:07:03 time: 0.364347 data_time: 0.035088 memory: 4565 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.828671 2023/08/08 12:47:12 - mmengine - INFO - Epoch(train) [38][210/529] lr: 5.000000e-04 eta: 9:06:58 time: 0.361086 data_time: 0.031502 memory: 4565 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.877827 2023/08/08 12:47:15 - mmengine - INFO - Epoch(train) [38][220/529] lr: 5.000000e-04 eta: 9:06:54 time: 0.355694 data_time: 0.031522 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.858286 2023/08/08 12:47:18 - mmengine - INFO - Epoch(train) [38][230/529] lr: 5.000000e-04 eta: 9:06:49 time: 0.345965 data_time: 0.031358 memory: 4565 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.887011 2023/08/08 12:47:22 - mmengine - INFO - Epoch(train) [38][240/529] lr: 5.000000e-04 eta: 9:06:45 time: 0.343795 data_time: 0.031649 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.851729 2023/08/08 12:47:26 - mmengine - INFO - Epoch(train) [38][250/529] lr: 5.000000e-04 eta: 9:06:43 time: 0.350253 data_time: 0.035640 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.878866 2023/08/08 12:47:30 - mmengine - INFO - Epoch(train) [38][260/529] lr: 5.000000e-04 eta: 9:06:40 time: 0.359337 data_time: 0.036488 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.857279 2023/08/08 12:47:34 - mmengine - INFO - Epoch(train) [38][270/529] lr: 5.000000e-04 eta: 9:06:39 time: 0.370618 data_time: 0.036810 memory: 4565 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.839064 2023/08/08 12:47:37 - mmengine - INFO - Epoch(train) [38][280/529] lr: 5.000000e-04 eta: 9:06:35 time: 0.376174 data_time: 0.036807 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.798251 2023/08/08 12:47:41 - mmengine - INFO - Epoch(train) [38][290/529] lr: 5.000000e-04 eta: 9:06:31 time: 0.374450 data_time: 0.036177 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.746665 2023/08/08 12:47:44 - mmengine - INFO - Epoch(train) [38][300/529] lr: 5.000000e-04 eta: 9:06:27 time: 0.367166 data_time: 0.032133 memory: 4565 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.792230 2023/08/08 12:47:47 - mmengine - INFO - Epoch(train) [38][310/529] lr: 5.000000e-04 eta: 9:06:22 time: 0.358277 data_time: 0.031303 memory: 4565 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.750209 2023/08/08 12:47:51 - mmengine - INFO - Epoch(train) [38][320/529] lr: 5.000000e-04 eta: 9:06:19 time: 0.350322 data_time: 0.031069 memory: 4565 loss: 0.000971 loss_kpt: 0.000971 acc_pose: 0.832982 2023/08/08 12:47:54 - mmengine - INFO - Epoch(train) [38][330/529] lr: 5.000000e-04 eta: 9:06:14 time: 0.345546 data_time: 0.030795 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.931970 2023/08/08 12:47:58 - mmengine - INFO - Epoch(train) [38][340/529] lr: 5.000000e-04 eta: 9:06:10 time: 0.345855 data_time: 0.030829 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.855272 2023/08/08 12:48:01 - mmengine - INFO - Epoch(train) [38][350/529] lr: 5.000000e-04 eta: 9:06:05 time: 0.345553 data_time: 0.030752 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.795887 2023/08/08 12:48:05 - mmengine - INFO - Epoch(train) [38][360/529] lr: 5.000000e-04 eta: 9:06:01 time: 0.346214 data_time: 0.030853 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.832787 2023/08/08 12:48:08 - mmengine - INFO - Epoch(train) [38][370/529] lr: 5.000000e-04 eta: 9:05:57 time: 0.343463 data_time: 0.030630 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.852689 2023/08/08 12:48:12 - mmengine - INFO - Epoch(train) [38][380/529] lr: 5.000000e-04 eta: 9:05:53 time: 0.344796 data_time: 0.030984 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.863307 2023/08/08 12:48:15 - mmengine - INFO - Epoch(train) [38][390/529] lr: 5.000000e-04 eta: 9:05:49 time: 0.347223 data_time: 0.031106 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.766596 2023/08/08 12:48:19 - mmengine - INFO - Epoch(train) [38][400/529] lr: 5.000000e-04 eta: 9:05:44 time: 0.346047 data_time: 0.031189 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.858053 2023/08/08 12:48:22 - mmengine - INFO - Epoch(train) [38][410/529] lr: 5.000000e-04 eta: 9:05:40 time: 0.344731 data_time: 0.030875 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.843053 2023/08/08 12:48:26 - mmengine - INFO - Epoch(train) [38][420/529] lr: 5.000000e-04 eta: 9:05:36 time: 0.346893 data_time: 0.030625 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.824545 2023/08/08 12:48:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:48:29 - mmengine - INFO - Epoch(train) [38][430/529] lr: 5.000000e-04 eta: 9:05:32 time: 0.344747 data_time: 0.030159 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.831176 2023/08/08 12:48:32 - mmengine - INFO - Epoch(train) [38][440/529] lr: 5.000000e-04 eta: 9:05:28 time: 0.343893 data_time: 0.030090 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.790355 2023/08/08 12:48:36 - mmengine - INFO - Epoch(train) [38][450/529] lr: 5.000000e-04 eta: 9:05:23 time: 0.345312 data_time: 0.030120 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.832004 2023/08/08 12:48:39 - mmengine - INFO - Epoch(train) [38][460/529] lr: 5.000000e-04 eta: 9:05:19 time: 0.345706 data_time: 0.030145 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.813120 2023/08/08 12:48:43 - mmengine - INFO - Epoch(train) [38][470/529] lr: 5.000000e-04 eta: 9:05:15 time: 0.344016 data_time: 0.030141 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.853599 2023/08/08 12:48:47 - mmengine - INFO - Epoch(train) [38][480/529] lr: 5.000000e-04 eta: 9:05:12 time: 0.354140 data_time: 0.030377 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.793806 2023/08/08 12:48:50 - mmengine - INFO - Epoch(train) [38][490/529] lr: 5.000000e-04 eta: 9:05:09 time: 0.354663 data_time: 0.030314 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.806960 2023/08/08 12:48:54 - mmengine - INFO - Epoch(train) [38][500/529] lr: 5.000000e-04 eta: 9:05:05 time: 0.356051 data_time: 0.030383 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.811817 2023/08/08 12:48:57 - mmengine - INFO - Epoch(train) [38][510/529] lr: 5.000000e-04 eta: 9:05:01 time: 0.357701 data_time: 0.030839 memory: 4565 loss: 0.000952 loss_kpt: 0.000952 acc_pose: 0.851866 2023/08/08 12:49:01 - mmengine - INFO - Epoch(train) [38][520/529] lr: 5.000000e-04 eta: 9:04:56 time: 0.356866 data_time: 0.031084 memory: 4565 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.764128 2023/08/08 12:49:04 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:49:08 - mmengine - INFO - Epoch(train) [39][ 10/529] lr: 5.000000e-04 eta: 9:04:50 time: 0.353920 data_time: 0.034186 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.794458 2023/08/08 12:49:11 - mmengine - INFO - Epoch(train) [39][ 20/529] lr: 5.000000e-04 eta: 9:04:46 time: 0.354507 data_time: 0.034394 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.874676 2023/08/08 12:49:15 - mmengine - INFO - Epoch(train) [39][ 30/529] lr: 5.000000e-04 eta: 9:04:42 time: 0.354092 data_time: 0.034056 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.838829 2023/08/08 12:49:18 - mmengine - INFO - Epoch(train) [39][ 40/529] lr: 5.000000e-04 eta: 9:04:38 time: 0.354755 data_time: 0.034465 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.841181 2023/08/08 12:49:22 - mmengine - INFO - Epoch(train) [39][ 50/529] lr: 5.000000e-04 eta: 9:04:34 time: 0.353661 data_time: 0.036021 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.802608 2023/08/08 12:49:25 - mmengine - INFO - Epoch(train) [39][ 60/529] lr: 5.000000e-04 eta: 9:04:30 time: 0.348430 data_time: 0.032700 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.793999 2023/08/08 12:49:29 - mmengine - INFO - Epoch(train) [39][ 70/529] lr: 5.000000e-04 eta: 9:04:26 time: 0.350305 data_time: 0.036354 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.901888 2023/08/08 12:49:32 - mmengine - INFO - Epoch(train) [39][ 80/529] lr: 5.000000e-04 eta: 9:04:22 time: 0.349137 data_time: 0.037074 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.839500 2023/08/08 12:49:36 - mmengine - INFO - Epoch(train) [39][ 90/529] lr: 5.000000e-04 eta: 9:04:17 time: 0.349439 data_time: 0.037441 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.848753 2023/08/08 12:49:39 - mmengine - INFO - Epoch(train) [39][100/529] lr: 5.000000e-04 eta: 9:04:13 time: 0.348034 data_time: 0.037663 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.837887 2023/08/08 12:49:42 - mmengine - INFO - Epoch(train) [39][110/529] lr: 5.000000e-04 eta: 9:04:09 time: 0.348164 data_time: 0.037822 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.852831 2023/08/08 12:49:46 - mmengine - INFO - Epoch(train) [39][120/529] lr: 5.000000e-04 eta: 9:04:05 time: 0.345070 data_time: 0.034607 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.777763 2023/08/08 12:49:49 - mmengine - INFO - Epoch(train) [39][130/529] lr: 5.000000e-04 eta: 9:04:00 time: 0.344572 data_time: 0.034637 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.862032 2023/08/08 12:49:53 - mmengine - INFO - Epoch(train) [39][140/529] lr: 5.000000e-04 eta: 9:03:56 time: 0.343654 data_time: 0.034603 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.899140 2023/08/08 12:49:56 - mmengine - INFO - Epoch(train) [39][150/529] lr: 5.000000e-04 eta: 9:03:52 time: 0.342523 data_time: 0.033931 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.855174 2023/08/08 12:50:00 - mmengine - INFO - Epoch(train) [39][160/529] lr: 5.000000e-04 eta: 9:03:48 time: 0.343914 data_time: 0.033550 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.817945 2023/08/08 12:50:03 - mmengine - INFO - Epoch(train) [39][170/529] lr: 5.000000e-04 eta: 9:03:43 time: 0.343547 data_time: 0.032700 memory: 4565 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.816738 2023/08/08 12:50:06 - mmengine - INFO - Epoch(train) [39][180/529] lr: 5.000000e-04 eta: 9:03:39 time: 0.343139 data_time: 0.031871 memory: 4565 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.813393 2023/08/08 12:50:10 - mmengine - INFO - Epoch(train) [39][190/529] lr: 5.000000e-04 eta: 9:03:34 time: 0.342917 data_time: 0.030903 memory: 4565 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.800408 2023/08/08 12:50:13 - mmengine - INFO - Epoch(train) [39][200/529] lr: 5.000000e-04 eta: 9:03:30 time: 0.344110 data_time: 0.030612 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.817461 2023/08/08 12:50:17 - mmengine - INFO - Epoch(train) [39][210/529] lr: 5.000000e-04 eta: 9:03:27 time: 0.345627 data_time: 0.030304 memory: 4565 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.893071 2023/08/08 12:50:20 - mmengine - INFO - Epoch(train) [39][220/529] lr: 5.000000e-04 eta: 9:03:23 time: 0.348695 data_time: 0.030754 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.778985 2023/08/08 12:50:24 - mmengine - INFO - Epoch(train) [39][230/529] lr: 5.000000e-04 eta: 9:03:19 time: 0.351890 data_time: 0.031623 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.884466 2023/08/08 12:50:27 - mmengine - INFO - Epoch(train) [39][240/529] lr: 5.000000e-04 eta: 9:03:15 time: 0.351933 data_time: 0.032410 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.855482 2023/08/08 12:50:31 - mmengine - INFO - Epoch(train) [39][250/529] lr: 5.000000e-04 eta: 9:03:10 time: 0.350153 data_time: 0.033092 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.826497 2023/08/08 12:50:34 - mmengine - INFO - Epoch(train) [39][260/529] lr: 5.000000e-04 eta: 9:03:06 time: 0.347146 data_time: 0.033164 memory: 4565 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.856196 2023/08/08 12:50:38 - mmengine - INFO - Epoch(train) [39][270/529] lr: 5.000000e-04 eta: 9:03:02 time: 0.345037 data_time: 0.033105 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.861916 2023/08/08 12:50:41 - mmengine - INFO - Epoch(train) [39][280/529] lr: 5.000000e-04 eta: 9:02:58 time: 0.343051 data_time: 0.032985 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.863395 2023/08/08 12:50:45 - mmengine - INFO - Epoch(train) [39][290/529] lr: 5.000000e-04 eta: 9:02:53 time: 0.343248 data_time: 0.032559 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.786810 2023/08/08 12:50:48 - mmengine - INFO - Epoch(train) [39][300/529] lr: 5.000000e-04 eta: 9:02:49 time: 0.343173 data_time: 0.031832 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.837695 2023/08/08 12:50:51 - mmengine - INFO - Epoch(train) [39][310/529] lr: 5.000000e-04 eta: 9:02:44 time: 0.342957 data_time: 0.031567 memory: 4565 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.866304 2023/08/08 12:50:55 - mmengine - INFO - Epoch(train) [39][320/529] lr: 5.000000e-04 eta: 9:02:41 time: 0.345730 data_time: 0.031304 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.905868 2023/08/08 12:50:59 - mmengine - INFO - Epoch(train) [39][330/529] lr: 5.000000e-04 eta: 9:02:37 time: 0.345773 data_time: 0.030730 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.837158 2023/08/08 12:51:02 - mmengine - INFO - Epoch(train) [39][340/529] lr: 5.000000e-04 eta: 9:02:34 time: 0.354397 data_time: 0.030946 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.832996 2023/08/08 12:51:06 - mmengine - INFO - Epoch(train) [39][350/529] lr: 5.000000e-04 eta: 9:02:30 time: 0.356313 data_time: 0.031685 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.871237 2023/08/08 12:51:09 - mmengine - INFO - Epoch(train) [39][360/529] lr: 5.000000e-04 eta: 9:02:26 time: 0.355972 data_time: 0.031788 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.846791 2023/08/08 12:51:13 - mmengine - INFO - Epoch(train) [39][370/529] lr: 5.000000e-04 eta: 9:02:21 time: 0.351716 data_time: 0.031634 memory: 4565 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.806074 2023/08/08 12:51:16 - mmengine - INFO - Epoch(train) [39][380/529] lr: 5.000000e-04 eta: 9:02:17 time: 0.350174 data_time: 0.031507 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.862747 2023/08/08 12:51:19 - mmengine - INFO - Epoch(train) [39][390/529] lr: 5.000000e-04 eta: 9:02:12 time: 0.341712 data_time: 0.030987 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.813709 2023/08/08 12:51:23 - mmengine - INFO - Epoch(train) [39][400/529] lr: 5.000000e-04 eta: 9:02:09 time: 0.343783 data_time: 0.030800 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.827428 2023/08/08 12:51:27 - mmengine - INFO - Epoch(train) [39][410/529] lr: 5.000000e-04 eta: 9:02:05 time: 0.347313 data_time: 0.031337 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.829723 2023/08/08 12:51:30 - mmengine - INFO - Epoch(train) [39][420/529] lr: 5.000000e-04 eta: 9:02:01 time: 0.347813 data_time: 0.031317 memory: 4565 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.835956 2023/08/08 12:51:33 - mmengine - INFO - Epoch(train) [39][430/529] lr: 5.000000e-04 eta: 9:01:56 time: 0.347688 data_time: 0.031193 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.864863 2023/08/08 12:51:37 - mmengine - INFO - Epoch(train) [39][440/529] lr: 5.000000e-04 eta: 9:01:52 time: 0.346880 data_time: 0.031159 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.786218 2023/08/08 12:51:40 - mmengine - INFO - Epoch(train) [39][450/529] lr: 5.000000e-04 eta: 9:01:48 time: 0.343239 data_time: 0.030568 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.840549 2023/08/08 12:51:44 - mmengine - INFO - Epoch(train) [39][460/529] lr: 5.000000e-04 eta: 9:01:43 time: 0.340870 data_time: 0.029851 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.762324 2023/08/08 12:51:47 - mmengine - INFO - Epoch(train) [39][470/529] lr: 5.000000e-04 eta: 9:01:40 time: 0.344429 data_time: 0.030450 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.828272 2023/08/08 12:51:51 - mmengine - INFO - Epoch(train) [39][480/529] lr: 5.000000e-04 eta: 9:01:36 time: 0.346063 data_time: 0.030602 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.873337 2023/08/08 12:51:54 - mmengine - INFO - Epoch(train) [39][490/529] lr: 5.000000e-04 eta: 9:01:31 time: 0.346595 data_time: 0.030628 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.797635 2023/08/08 12:51:58 - mmengine - INFO - Epoch(train) [39][500/529] lr: 5.000000e-04 eta: 9:01:27 time: 0.346585 data_time: 0.030629 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.833104 2023/08/08 12:52:01 - mmengine - INFO - Epoch(train) [39][510/529] lr: 5.000000e-04 eta: 9:01:23 time: 0.347049 data_time: 0.030749 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.822167 2023/08/08 12:52:05 - mmengine - INFO - Epoch(train) [39][520/529] lr: 5.000000e-04 eta: 9:01:19 time: 0.348762 data_time: 0.033820 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.827016 2023/08/08 12:52:08 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:52:11 - mmengine - INFO - Epoch(train) [40][ 10/529] lr: 5.000000e-04 eta: 9:01:12 time: 0.353310 data_time: 0.037871 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.860579 2023/08/08 12:52:15 - mmengine - INFO - Epoch(train) [40][ 20/529] lr: 5.000000e-04 eta: 9:01:08 time: 0.353065 data_time: 0.037917 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.885046 2023/08/08 12:52:18 - mmengine - INFO - Epoch(train) [40][ 30/529] lr: 5.000000e-04 eta: 9:01:04 time: 0.352925 data_time: 0.037914 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.877135 2023/08/08 12:52:22 - mmengine - INFO - Epoch(train) [40][ 40/529] lr: 5.000000e-04 eta: 9:00:59 time: 0.347881 data_time: 0.034188 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.822865 2023/08/08 12:52:25 - mmengine - INFO - Epoch(train) [40][ 50/529] lr: 5.000000e-04 eta: 9:00:55 time: 0.345983 data_time: 0.034523 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.816786 2023/08/08 12:52:29 - mmengine - INFO - Epoch(train) [40][ 60/529] lr: 5.000000e-04 eta: 9:00:51 time: 0.343688 data_time: 0.030580 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.848271 2023/08/08 12:52:32 - mmengine - INFO - Epoch(train) [40][ 70/529] lr: 5.000000e-04 eta: 9:00:48 time: 0.348711 data_time: 0.031588 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.833433 2023/08/08 12:52:36 - mmengine - INFO - Epoch(train) [40][ 80/529] lr: 5.000000e-04 eta: 9:00:43 time: 0.347683 data_time: 0.031995 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.771913 2023/08/08 12:52:39 - mmengine - INFO - Epoch(train) [40][ 90/529] lr: 5.000000e-04 eta: 9:00:39 time: 0.347413 data_time: 0.031989 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.892045 2023/08/08 12:52:42 - mmengine - INFO - Epoch(train) [40][100/529] lr: 5.000000e-04 eta: 9:00:34 time: 0.347056 data_time: 0.031814 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.837817 2023/08/08 12:52:46 - mmengine - INFO - Epoch(train) [40][110/529] lr: 5.000000e-04 eta: 9:00:30 time: 0.345285 data_time: 0.031592 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.803897 2023/08/08 12:52:49 - mmengine - INFO - Epoch(train) [40][120/529] lr: 5.000000e-04 eta: 9:00:26 time: 0.341019 data_time: 0.030755 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.832594 2023/08/08 12:52:53 - mmengine - INFO - Epoch(train) [40][130/529] lr: 5.000000e-04 eta: 9:00:23 time: 0.346164 data_time: 0.030517 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.823291 2023/08/08 12:52:57 - mmengine - INFO - Epoch(train) [40][140/529] lr: 5.000000e-04 eta: 9:00:19 time: 0.348087 data_time: 0.031279 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.837769 2023/08/08 12:53:00 - mmengine - INFO - Epoch(train) [40][150/529] lr: 5.000000e-04 eta: 9:00:15 time: 0.353729 data_time: 0.032331 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.815322 2023/08/08 12:53:04 - mmengine - INFO - Epoch(train) [40][160/529] lr: 5.000000e-04 eta: 9:00:14 time: 0.366305 data_time: 0.036770 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.849161 2023/08/08 12:53:08 - mmengine - INFO - Epoch(train) [40][170/529] lr: 5.000000e-04 eta: 9:00:10 time: 0.366860 data_time: 0.037096 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.770490 2023/08/08 12:53:11 - mmengine - INFO - Epoch(train) [40][180/529] lr: 5.000000e-04 eta: 9:00:05 time: 0.361885 data_time: 0.037035 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.838504 2023/08/08 12:53:15 - mmengine - INFO - Epoch(train) [40][190/529] lr: 5.000000e-04 eta: 9:00:02 time: 0.365183 data_time: 0.040346 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.847525 2023/08/08 12:53:18 - mmengine - INFO - Epoch(train) [40][200/529] lr: 5.000000e-04 eta: 8:59:58 time: 0.360232 data_time: 0.039502 memory: 4565 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.847346 2023/08/08 12:53:22 - mmengine - INFO - Epoch(train) [40][210/529] lr: 5.000000e-04 eta: 8:59:54 time: 0.350570 data_time: 0.035392 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.825739 2023/08/08 12:53:25 - mmengine - INFO - Epoch(train) [40][220/529] lr: 5.000000e-04 eta: 8:59:51 time: 0.353225 data_time: 0.034898 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.903402 2023/08/08 12:53:29 - mmengine - INFO - Epoch(train) [40][230/529] lr: 5.000000e-04 eta: 8:59:47 time: 0.358086 data_time: 0.034854 memory: 4565 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.865091 2023/08/08 12:53:33 - mmengine - INFO - Epoch(train) [40][240/529] lr: 5.000000e-04 eta: 8:59:44 time: 0.358100 data_time: 0.031622 memory: 4565 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.900177 2023/08/08 12:53:36 - mmengine - INFO - Epoch(train) [40][250/529] lr: 5.000000e-04 eta: 8:59:40 time: 0.359499 data_time: 0.031699 memory: 4565 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.823853 2023/08/08 12:53:40 - mmengine - INFO - Epoch(train) [40][260/529] lr: 5.000000e-04 eta: 8:59:36 time: 0.356181 data_time: 0.031545 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.803273 2023/08/08 12:53:43 - mmengine - INFO - Epoch(train) [40][270/529] lr: 5.000000e-04 eta: 8:59:31 time: 0.352247 data_time: 0.031809 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.797333 2023/08/08 12:53:46 - mmengine - INFO - Epoch(train) [40][280/529] lr: 5.000000e-04 eta: 8:59:27 time: 0.347423 data_time: 0.031893 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.826666 2023/08/08 12:53:50 - mmengine - INFO - Epoch(train) [40][290/529] lr: 5.000000e-04 eta: 8:59:23 time: 0.343932 data_time: 0.031488 memory: 4565 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.826126 2023/08/08 12:53:53 - mmengine - INFO - Epoch(train) [40][300/529] lr: 5.000000e-04 eta: 8:59:18 time: 0.342385 data_time: 0.031432 memory: 4565 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.881341 2023/08/08 12:53:57 - mmengine - INFO - Epoch(train) [40][310/529] lr: 5.000000e-04 eta: 8:59:15 time: 0.345228 data_time: 0.031220 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.874897 2023/08/08 12:54:00 - mmengine - INFO - Epoch(train) [40][320/529] lr: 5.000000e-04 eta: 8:59:10 time: 0.345552 data_time: 0.031056 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.759787 2023/08/08 12:54:04 - mmengine - INFO - Epoch(train) [40][330/529] lr: 5.000000e-04 eta: 8:59:06 time: 0.345632 data_time: 0.030905 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.851527 2023/08/08 12:54:07 - mmengine - INFO - Epoch(train) [40][340/529] lr: 5.000000e-04 eta: 8:59:02 time: 0.344230 data_time: 0.030532 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.771720 2023/08/08 12:54:11 - mmengine - INFO - Epoch(train) [40][350/529] lr: 5.000000e-04 eta: 8:58:57 time: 0.344981 data_time: 0.030404 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.827755 2023/08/08 12:54:14 - mmengine - INFO - Epoch(train) [40][360/529] lr: 5.000000e-04 eta: 8:58:54 time: 0.345661 data_time: 0.030473 memory: 4565 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.791972 2023/08/08 12:54:17 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:54:18 - mmengine - INFO - Epoch(train) [40][370/529] lr: 5.000000e-04 eta: 8:58:50 time: 0.346597 data_time: 0.030607 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.793425 2023/08/08 12:54:21 - mmengine - INFO - Epoch(train) [40][380/529] lr: 5.000000e-04 eta: 8:58:46 time: 0.347338 data_time: 0.030770 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.861115 2023/08/08 12:54:25 - mmengine - INFO - Epoch(train) [40][390/529] lr: 5.000000e-04 eta: 8:58:42 time: 0.350590 data_time: 0.034188 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.806960 2023/08/08 12:54:28 - mmengine - INFO - Epoch(train) [40][400/529] lr: 5.000000e-04 eta: 8:58:38 time: 0.350659 data_time: 0.034779 memory: 4565 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.782468 2023/08/08 12:54:32 - mmengine - INFO - Epoch(train) [40][410/529] lr: 5.000000e-04 eta: 8:58:34 time: 0.348027 data_time: 0.034699 memory: 4565 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.851474 2023/08/08 12:54:35 - mmengine - INFO - Epoch(train) [40][420/529] lr: 5.000000e-04 eta: 8:58:30 time: 0.351996 data_time: 0.035050 memory: 4565 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.821661 2023/08/08 12:54:39 - mmengine - INFO - Epoch(train) [40][430/529] lr: 5.000000e-04 eta: 8:58:27 time: 0.357778 data_time: 0.035171 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.830723 2023/08/08 12:54:43 - mmengine - INFO - Epoch(train) [40][440/529] lr: 5.000000e-04 eta: 8:58:24 time: 0.358981 data_time: 0.032048 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.883313 2023/08/08 12:54:46 - mmengine - INFO - Epoch(train) [40][450/529] lr: 5.000000e-04 eta: 8:58:20 time: 0.360202 data_time: 0.031579 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.861779 2023/08/08 12:54:50 - mmengine - INFO - Epoch(train) [40][460/529] lr: 5.000000e-04 eta: 8:58:16 time: 0.359835 data_time: 0.031504 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.881759 2023/08/08 12:54:53 - mmengine - INFO - Epoch(train) [40][470/529] lr: 5.000000e-04 eta: 8:58:12 time: 0.355508 data_time: 0.031033 memory: 4565 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.850702 2023/08/08 12:54:56 - mmengine - INFO - Epoch(train) [40][480/529] lr: 5.000000e-04 eta: 8:58:08 time: 0.350361 data_time: 0.030789 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.884744 2023/08/08 12:55:00 - mmengine - INFO - Epoch(train) [40][490/529] lr: 5.000000e-04 eta: 8:58:04 time: 0.348132 data_time: 0.030532 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.840659 2023/08/08 12:55:04 - mmengine - INFO - Epoch(train) [40][500/529] lr: 5.000000e-04 eta: 8:58:02 time: 0.356787 data_time: 0.030799 memory: 4565 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.861748 2023/08/08 12:55:08 - mmengine - INFO - Epoch(train) [40][510/529] lr: 5.000000e-04 eta: 8:57:59 time: 0.365087 data_time: 0.031145 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.829073 2023/08/08 12:55:12 - mmengine - INFO - Epoch(train) [40][520/529] lr: 5.000000e-04 eta: 8:57:57 time: 0.373238 data_time: 0.031482 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.856651 2023/08/08 12:55:15 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:55:15 - mmengine - INFO - Saving checkpoint at 40 epochs 2023/08/08 12:55:21 - mmengine - INFO - Epoch(val) [40][ 10/127] eta: 0:00:24 time: 0.202150 data_time: 0.017163 memory: 4565 2023/08/08 12:55:23 - mmengine - INFO - Epoch(val) [40][ 20/127] eta: 0:00:21 time: 0.201899 data_time: 0.017036 memory: 1634 2023/08/08 12:55:25 - mmengine - INFO - Epoch(val) [40][ 30/127] eta: 0:00:19 time: 0.197792 data_time: 0.013081 memory: 1634 2023/08/08 12:55:27 - mmengine - INFO - Epoch(val) [40][ 40/127] eta: 0:00:17 time: 0.197855 data_time: 0.013288 memory: 1634 2023/08/08 12:55:28 - mmengine - INFO - Epoch(val) [40][ 50/127] eta: 0:00:15 time: 0.200050 data_time: 0.013804 memory: 1634 2023/08/08 12:55:31 - mmengine - INFO - Epoch(val) [40][ 60/127] eta: 0:00:13 time: 0.201662 data_time: 0.015564 memory: 1634 2023/08/08 12:55:33 - mmengine - INFO - Epoch(val) [40][ 70/127] eta: 0:00:11 time: 0.201790 data_time: 0.015665 memory: 1634 2023/08/08 12:55:35 - mmengine - INFO - Epoch(val) [40][ 80/127] eta: 0:00:09 time: 0.201343 data_time: 0.015301 memory: 1634 2023/08/08 12:55:37 - mmengine - INFO - Epoch(val) [40][ 90/127] eta: 0:00:07 time: 0.201077 data_time: 0.015071 memory: 1634 2023/08/08 12:55:39 - mmengine - INFO - Epoch(val) [40][100/127] eta: 0:00:05 time: 0.200803 data_time: 0.014744 memory: 1634 2023/08/08 12:55:41 - mmengine - INFO - Epoch(val) [40][110/127] eta: 0:00:03 time: 0.196924 data_time: 0.011076 memory: 1634 2023/08/08 12:55:42 - mmengine - INFO - Epoch(val) [40][120/127] eta: 0:00:01 time: 0.196498 data_time: 0.010862 memory: 1634 2023/08/08 12:55:44 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 12:55:44 - mmengine - INFO - Evaluating AUC... 2023/08/08 12:55:45 - mmengine - INFO - Evaluating EPE... 2023/08/08 12:55:45 - mmengine - INFO - Epoch(val) [40][127/127] PCK: 0.981206 AUC: 0.667288 EPE: 11.994414 data_time: 0.013527 time: 0.198183 2023/08/08 12:55:45 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_30.pth is removed 2023/08/08 12:55:47 - mmengine - INFO - The best checkpoint with 0.6673 AUC at 40 epoch is saved to best_AUC_epoch_40.pth. 2023/08/08 12:55:54 - mmengine - INFO - Epoch(train) [41][ 10/529] lr: 5.000000e-04 eta: 8:57:51 time: 0.379867 data_time: 0.035134 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.824719 2023/08/08 12:55:58 - mmengine - INFO - Epoch(train) [41][ 20/529] lr: 5.000000e-04 eta: 8:57:47 time: 0.371546 data_time: 0.034750 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.825227 2023/08/08 12:56:01 - mmengine - INFO - Epoch(train) [41][ 30/529] lr: 5.000000e-04 eta: 8:57:44 time: 0.371920 data_time: 0.035086 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.855779 2023/08/08 12:56:05 - mmengine - INFO - Epoch(train) [41][ 40/529] lr: 5.000000e-04 eta: 8:57:41 time: 0.369107 data_time: 0.035537 memory: 4565 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.867678 2023/08/08 12:56:09 - mmengine - INFO - Epoch(train) [41][ 50/529] lr: 5.000000e-04 eta: 8:57:37 time: 0.365249 data_time: 0.035617 memory: 4565 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.811356 2023/08/08 12:56:12 - mmengine - INFO - Epoch(train) [41][ 60/529] lr: 5.000000e-04 eta: 8:57:34 time: 0.364689 data_time: 0.032246 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.870469 2023/08/08 12:56:16 - mmengine - INFO - Epoch(train) [41][ 70/529] lr: 5.000000e-04 eta: 8:57:30 time: 0.366088 data_time: 0.032052 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.819358 2023/08/08 12:56:19 - mmengine - INFO - Epoch(train) [41][ 80/529] lr: 5.000000e-04 eta: 8:57:27 time: 0.360205 data_time: 0.031732 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.859304 2023/08/08 12:56:23 - mmengine - INFO - Epoch(train) [41][ 90/529] lr: 5.000000e-04 eta: 8:57:24 time: 0.359965 data_time: 0.031577 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.793062 2023/08/08 12:56:27 - mmengine - INFO - Epoch(train) [41][100/529] lr: 5.000000e-04 eta: 8:57:20 time: 0.362913 data_time: 0.032219 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.811401 2023/08/08 12:56:31 - mmengine - INFO - Epoch(train) [41][110/529] lr: 5.000000e-04 eta: 8:57:19 time: 0.370609 data_time: 0.032681 memory: 4565 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.873929 2023/08/08 12:56:35 - mmengine - INFO - Epoch(train) [41][120/529] lr: 5.000000e-04 eta: 8:57:16 time: 0.378552 data_time: 0.033621 memory: 4565 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.840922 2023/08/08 12:56:39 - mmengine - INFO - Epoch(train) [41][130/529] lr: 5.000000e-04 eta: 8:57:14 time: 0.385842 data_time: 0.033843 memory: 4565 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.801316 2023/08/08 12:56:43 - mmengine - INFO - Epoch(train) [41][140/529] lr: 5.000000e-04 eta: 8:57:12 time: 0.391147 data_time: 0.033857 memory: 4565 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.804830 2023/08/08 12:56:47 - mmengine - INFO - Epoch(train) [41][150/529] lr: 5.000000e-04 eta: 8:57:10 time: 0.397663 data_time: 0.033823 memory: 4565 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.809019 2023/08/08 12:56:51 - mmengine - INFO - Epoch(train) [41][160/529] lr: 5.000000e-04 eta: 8:57:09 time: 0.400908 data_time: 0.033245 memory: 4565 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.847379 2023/08/08 12:56:55 - mmengine - INFO - Epoch(train) [41][170/529] lr: 5.000000e-04 eta: 8:57:07 time: 0.400616 data_time: 0.032407 memory: 4565 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.833866 2023/08/08 12:56:59 - mmengine - INFO - Epoch(train) [41][180/529] lr: 5.000000e-04 eta: 8:57:05 time: 0.400192 data_time: 0.031835 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.820870 2023/08/08 12:57:03 - mmengine - INFO - Epoch(train) [41][190/529] lr: 5.000000e-04 eta: 8:57:03 time: 0.399911 data_time: 0.031076 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.860807 2023/08/08 12:57:06 - mmengine - INFO - Epoch(train) [41][200/529] lr: 5.000000e-04 eta: 8:57:00 time: 0.394851 data_time: 0.030499 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.825492 2023/08/08 12:57:10 - mmengine - INFO - Epoch(train) [41][210/529] lr: 5.000000e-04 eta: 8:56:56 time: 0.382097 data_time: 0.030475 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.847525 2023/08/08 12:57:13 - mmengine - INFO - Epoch(train) [41][220/529] lr: 5.000000e-04 eta: 8:56:52 time: 0.373643 data_time: 0.030868 memory: 4565 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.834771 2023/08/08 12:57:17 - mmengine - INFO - Epoch(train) [41][230/529] lr: 5.000000e-04 eta: 8:56:48 time: 0.364557 data_time: 0.030841 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.850669 2023/08/08 12:57:20 - mmengine - INFO - Epoch(train) [41][240/529] lr: 5.000000e-04 eta: 8:56:44 time: 0.354760 data_time: 0.030926 memory: 4565 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.816051 2023/08/08 12:57:24 - mmengine - INFO - Epoch(train) [41][250/529] lr: 5.000000e-04 eta: 8:56:40 time: 0.349597 data_time: 0.030850 memory: 4565 loss: 0.000954 loss_kpt: 0.000954 acc_pose: 0.857560 2023/08/08 12:57:27 - mmengine - INFO - Epoch(train) [41][260/529] lr: 5.000000e-04 eta: 8:56:36 time: 0.348861 data_time: 0.030988 memory: 4565 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.827635 2023/08/08 12:57:31 - mmengine - INFO - Epoch(train) [41][270/529] lr: 5.000000e-04 eta: 8:56:33 time: 0.350846 data_time: 0.031183 memory: 4565 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.854324 2023/08/08 12:57:35 - mmengine - INFO - Epoch(train) [41][280/529] lr: 5.000000e-04 eta: 8:56:29 time: 0.353830 data_time: 0.032008 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.826774 2023/08/08 12:57:38 - mmengine - INFO - Epoch(train) [41][290/529] lr: 5.000000e-04 eta: 8:56:25 time: 0.354311 data_time: 0.031891 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.850097 2023/08/08 12:57:42 - mmengine - INFO - Epoch(train) [41][300/529] lr: 5.000000e-04 eta: 8:56:21 time: 0.354797 data_time: 0.032109 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.807452 2023/08/08 12:57:45 - mmengine - INFO - Epoch(train) [41][310/529] lr: 5.000000e-04 eta: 8:56:18 time: 0.357405 data_time: 0.031616 memory: 4565 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.862969 2023/08/08 12:57:49 - mmengine - INFO - Epoch(train) [41][320/529] lr: 5.000000e-04 eta: 8:56:14 time: 0.355619 data_time: 0.031281 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.812868 2023/08/08 12:57:52 - mmengine - INFO - Epoch(train) [41][330/529] lr: 5.000000e-04 eta: 8:56:11 time: 0.357071 data_time: 0.034194 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.879665 2023/08/08 12:57:56 - mmengine - INFO - Epoch(train) [41][340/529] lr: 5.000000e-04 eta: 8:56:07 time: 0.358811 data_time: 0.034622 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.765801 2023/08/08 12:58:00 - mmengine - INFO - Epoch(train) [41][350/529] lr: 5.000000e-04 eta: 8:56:03 time: 0.358296 data_time: 0.034288 memory: 4565 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.840747 2023/08/08 12:58:03 - mmengine - INFO - Epoch(train) [41][360/529] lr: 5.000000e-04 eta: 8:55:59 time: 0.355648 data_time: 0.034534 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.852709 2023/08/08 12:58:07 - mmengine - INFO - Epoch(train) [41][370/529] lr: 5.000000e-04 eta: 8:55:55 time: 0.355383 data_time: 0.034482 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.810843 2023/08/08 12:58:10 - mmengine - INFO - Epoch(train) [41][380/529] lr: 5.000000e-04 eta: 8:55:51 time: 0.351354 data_time: 0.030814 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.841059 2023/08/08 12:58:14 - mmengine - INFO - Epoch(train) [41][390/529] lr: 5.000000e-04 eta: 8:55:48 time: 0.350554 data_time: 0.030519 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.829187 2023/08/08 12:58:17 - mmengine - INFO - Epoch(train) [41][400/529] lr: 5.000000e-04 eta: 8:55:44 time: 0.352032 data_time: 0.030748 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.777412 2023/08/08 12:58:21 - mmengine - INFO - Epoch(train) [41][410/529] lr: 5.000000e-04 eta: 8:55:40 time: 0.352360 data_time: 0.030698 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.832410 2023/08/08 12:58:24 - mmengine - INFO - Epoch(train) [41][420/529] lr: 5.000000e-04 eta: 8:55:36 time: 0.352018 data_time: 0.030744 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.789980 2023/08/08 12:58:28 - mmengine - INFO - Epoch(train) [41][430/529] lr: 5.000000e-04 eta: 8:55:32 time: 0.351830 data_time: 0.031001 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.865041 2023/08/08 12:58:31 - mmengine - INFO - Epoch(train) [41][440/529] lr: 5.000000e-04 eta: 8:55:28 time: 0.351592 data_time: 0.031523 memory: 4565 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.837741 2023/08/08 12:58:35 - mmengine - INFO - Epoch(train) [41][450/529] lr: 5.000000e-04 eta: 8:55:24 time: 0.350989 data_time: 0.031748 memory: 4565 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.730922 2023/08/08 12:58:38 - mmengine - INFO - Epoch(train) [41][460/529] lr: 5.000000e-04 eta: 8:55:20 time: 0.351826 data_time: 0.031722 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.866994 2023/08/08 12:58:42 - mmengine - INFO - Epoch(train) [41][470/529] lr: 5.000000e-04 eta: 8:55:16 time: 0.351772 data_time: 0.031519 memory: 4565 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.862211 2023/08/08 12:58:45 - mmengine - INFO - Epoch(train) [41][480/529] lr: 5.000000e-04 eta: 8:55:12 time: 0.351990 data_time: 0.031098 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.866760 2023/08/08 12:58:49 - mmengine - INFO - Epoch(train) [41][490/529] lr: 5.000000e-04 eta: 8:55:09 time: 0.351535 data_time: 0.030624 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.893136 2023/08/08 12:58:52 - mmengine - INFO - Epoch(train) [41][500/529] lr: 5.000000e-04 eta: 8:55:05 time: 0.351436 data_time: 0.030223 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.801927 2023/08/08 12:58:56 - mmengine - INFO - Epoch(train) [41][510/529] lr: 5.000000e-04 eta: 8:55:01 time: 0.354083 data_time: 0.030404 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.842422 2023/08/08 12:59:00 - mmengine - INFO - Epoch(train) [41][520/529] lr: 5.000000e-04 eta: 8:54:58 time: 0.355958 data_time: 0.030916 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.848197 2023/08/08 12:59:03 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 12:59:06 - mmengine - INFO - Epoch(train) [42][ 10/529] lr: 5.000000e-04 eta: 8:54:51 time: 0.359768 data_time: 0.034804 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.852148 2023/08/08 12:59:10 - mmengine - INFO - Epoch(train) [42][ 20/529] lr: 5.000000e-04 eta: 8:54:47 time: 0.357639 data_time: 0.034817 memory: 4565 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.825917 2023/08/08 12:59:13 - mmengine - INFO - Epoch(train) [42][ 30/529] lr: 5.000000e-04 eta: 8:54:42 time: 0.351724 data_time: 0.034583 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.845921 2023/08/08 12:59:17 - mmengine - INFO - Epoch(train) [42][ 40/529] lr: 5.000000e-04 eta: 8:54:38 time: 0.348146 data_time: 0.034155 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.821170 2023/08/08 12:59:20 - mmengine - INFO - Epoch(train) [42][ 50/529] lr: 5.000000e-04 eta: 8:54:34 time: 0.348612 data_time: 0.035209 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.818509 2023/08/08 12:59:24 - mmengine - INFO - Epoch(train) [42][ 60/529] lr: 5.000000e-04 eta: 8:54:32 time: 0.353422 data_time: 0.031348 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.866808 2023/08/08 12:59:28 - mmengine - INFO - Epoch(train) [42][ 70/529] lr: 5.000000e-04 eta: 8:54:30 time: 0.363337 data_time: 0.032400 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.809080 2023/08/08 12:59:32 - mmengine - INFO - Epoch(train) [42][ 80/529] lr: 5.000000e-04 eta: 8:54:26 time: 0.366037 data_time: 0.033156 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.794922 2023/08/08 12:59:35 - mmengine - INFO - Epoch(train) [42][ 90/529] lr: 5.000000e-04 eta: 8:54:22 time: 0.366803 data_time: 0.033282 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.860908 2023/08/08 12:59:38 - mmengine - INFO - Epoch(train) [42][100/529] lr: 5.000000e-04 eta: 8:54:18 time: 0.364549 data_time: 0.033034 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.851520 2023/08/08 12:59:42 - mmengine - INFO - Epoch(train) [42][110/529] lr: 5.000000e-04 eta: 8:54:14 time: 0.357813 data_time: 0.032676 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.864783 2023/08/08 12:59:45 - mmengine - INFO - Epoch(train) [42][120/529] lr: 5.000000e-04 eta: 8:54:10 time: 0.348233 data_time: 0.031865 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.814014 2023/08/08 12:59:49 - mmengine - INFO - Epoch(train) [42][130/529] lr: 5.000000e-04 eta: 8:54:05 time: 0.345760 data_time: 0.031012 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.841695 2023/08/08 12:59:52 - mmengine - INFO - Epoch(train) [42][140/529] lr: 5.000000e-04 eta: 8:54:01 time: 0.345007 data_time: 0.030756 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.818103 2023/08/08 12:59:56 - mmengine - INFO - Epoch(train) [42][150/529] lr: 5.000000e-04 eta: 8:53:58 time: 0.350464 data_time: 0.030646 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.846577 2023/08/08 13:00:00 - mmengine - INFO - Epoch(train) [42][160/529] lr: 5.000000e-04 eta: 8:53:54 time: 0.351742 data_time: 0.033681 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.856975 2023/08/08 13:00:03 - mmengine - INFO - Epoch(train) [42][170/529] lr: 5.000000e-04 eta: 8:53:50 time: 0.352915 data_time: 0.033635 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.801871 2023/08/08 13:00:07 - mmengine - INFO - Epoch(train) [42][180/529] lr: 5.000000e-04 eta: 8:53:46 time: 0.353488 data_time: 0.033743 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.859429 2023/08/08 13:00:10 - mmengine - INFO - Epoch(train) [42][190/529] lr: 5.000000e-04 eta: 8:53:42 time: 0.353378 data_time: 0.033927 memory: 4565 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.837055 2023/08/08 13:00:13 - mmengine - INFO - Epoch(train) [42][200/529] lr: 5.000000e-04 eta: 8:53:38 time: 0.347472 data_time: 0.034029 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.851199 2023/08/08 13:00:17 - mmengine - INFO - Epoch(train) [42][210/529] lr: 5.000000e-04 eta: 8:53:34 time: 0.345123 data_time: 0.030478 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.757850 2023/08/08 13:00:20 - mmengine - INFO - Epoch(train) [42][220/529] lr: 5.000000e-04 eta: 8:53:29 time: 0.344351 data_time: 0.030332 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.824206 2023/08/08 13:00:24 - mmengine - INFO - Epoch(train) [42][230/529] lr: 5.000000e-04 eta: 8:53:26 time: 0.345435 data_time: 0.030441 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.796043 2023/08/08 13:00:27 - mmengine - INFO - Epoch(train) [42][240/529] lr: 5.000000e-04 eta: 8:53:21 time: 0.346675 data_time: 0.030594 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.802559 2023/08/08 13:00:31 - mmengine - INFO - Epoch(train) [42][250/529] lr: 5.000000e-04 eta: 8:53:17 time: 0.345720 data_time: 0.030638 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.820811 2023/08/08 13:00:34 - mmengine - INFO - Epoch(train) [42][260/529] lr: 5.000000e-04 eta: 8:53:13 time: 0.343646 data_time: 0.030766 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.869591 2023/08/08 13:00:37 - mmengine - INFO - Epoch(train) [42][270/529] lr: 5.000000e-04 eta: 8:53:08 time: 0.342413 data_time: 0.030763 memory: 4565 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.745776 2023/08/08 13:00:41 - mmengine - INFO - Epoch(train) [42][280/529] lr: 5.000000e-04 eta: 8:53:04 time: 0.341822 data_time: 0.030695 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.783772 2023/08/08 13:00:44 - mmengine - INFO - Epoch(train) [42][290/529] lr: 5.000000e-04 eta: 8:53:01 time: 0.344129 data_time: 0.030387 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.797580 2023/08/08 13:00:48 - mmengine - INFO - Epoch(train) [42][300/529] lr: 5.000000e-04 eta: 8:52:57 time: 0.346383 data_time: 0.030557 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.907856 2023/08/08 13:00:51 - mmengine - INFO - Epoch(train) [42][310/529] lr: 5.000000e-04 eta: 8:52:52 time: 0.347606 data_time: 0.030421 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.750630 2023/08/08 13:00:52 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:00:55 - mmengine - INFO - Epoch(train) [42][320/529] lr: 5.000000e-04 eta: 8:52:48 time: 0.348746 data_time: 0.030345 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.806692 2023/08/08 13:00:58 - mmengine - INFO - Epoch(train) [42][330/529] lr: 5.000000e-04 eta: 8:52:44 time: 0.348054 data_time: 0.030199 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.838823 2023/08/08 13:01:02 - mmengine - INFO - Epoch(train) [42][340/529] lr: 5.000000e-04 eta: 8:52:40 time: 0.345836 data_time: 0.030301 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.811301 2023/08/08 13:01:05 - mmengine - INFO - Epoch(train) [42][350/529] lr: 5.000000e-04 eta: 8:52:37 time: 0.349081 data_time: 0.033811 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.848289 2023/08/08 13:01:09 - mmengine - INFO - Epoch(train) [42][360/529] lr: 5.000000e-04 eta: 8:52:33 time: 0.349691 data_time: 0.034118 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.771282 2023/08/08 13:01:12 - mmengine - INFO - Epoch(train) [42][370/529] lr: 5.000000e-04 eta: 8:52:28 time: 0.348767 data_time: 0.034298 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.861707 2023/08/08 13:01:16 - mmengine - INFO - Epoch(train) [42][380/529] lr: 5.000000e-04 eta: 8:52:24 time: 0.347727 data_time: 0.034466 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.881536 2023/08/08 13:01:19 - mmengine - INFO - Epoch(train) [42][390/529] lr: 5.000000e-04 eta: 8:52:19 time: 0.346094 data_time: 0.034504 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.816870 2023/08/08 13:01:23 - mmengine - INFO - Epoch(train) [42][400/529] lr: 5.000000e-04 eta: 8:52:16 time: 0.344087 data_time: 0.031082 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.826566 2023/08/08 13:01:26 - mmengine - INFO - Epoch(train) [42][410/529] lr: 5.000000e-04 eta: 8:52:12 time: 0.343651 data_time: 0.030812 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.789781 2023/08/08 13:01:30 - mmengine - INFO - Epoch(train) [42][420/529] lr: 5.000000e-04 eta: 8:52:08 time: 0.345563 data_time: 0.031050 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.845032 2023/08/08 13:01:33 - mmengine - INFO - Epoch(train) [42][430/529] lr: 5.000000e-04 eta: 8:52:04 time: 0.348291 data_time: 0.031498 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.783827 2023/08/08 13:01:37 - mmengine - INFO - Epoch(train) [42][440/529] lr: 5.000000e-04 eta: 8:52:00 time: 0.349381 data_time: 0.031629 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.827392 2023/08/08 13:01:40 - mmengine - INFO - Epoch(train) [42][450/529] lr: 5.000000e-04 eta: 8:51:56 time: 0.349249 data_time: 0.031392 memory: 4565 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.880838 2023/08/08 13:01:44 - mmengine - INFO - Epoch(train) [42][460/529] lr: 5.000000e-04 eta: 8:51:52 time: 0.348465 data_time: 0.031547 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.788985 2023/08/08 13:01:47 - mmengine - INFO - Epoch(train) [42][470/529] lr: 5.000000e-04 eta: 8:51:47 time: 0.347631 data_time: 0.031447 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.829351 2023/08/08 13:01:50 - mmengine - INFO - Epoch(train) [42][480/529] lr: 5.000000e-04 eta: 8:51:43 time: 0.346698 data_time: 0.031008 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.797712 2023/08/08 13:01:54 - mmengine - INFO - Epoch(train) [42][490/529] lr: 5.000000e-04 eta: 8:51:39 time: 0.346431 data_time: 0.030950 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.818225 2023/08/08 13:01:57 - mmengine - INFO - Epoch(train) [42][500/529] lr: 5.000000e-04 eta: 8:51:35 time: 0.343570 data_time: 0.030822 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.805262 2023/08/08 13:02:01 - mmengine - INFO - Epoch(train) [42][510/529] lr: 5.000000e-04 eta: 8:51:31 time: 0.345733 data_time: 0.030590 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.850169 2023/08/08 13:02:04 - mmengine - INFO - Epoch(train) [42][520/529] lr: 5.000000e-04 eta: 8:51:27 time: 0.344722 data_time: 0.030294 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.825204 2023/08/08 13:02:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:02:11 - mmengine - INFO - Epoch(train) [43][ 10/529] lr: 5.000000e-04 eta: 8:51:19 time: 0.346635 data_time: 0.033924 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.841337 2023/08/08 13:02:15 - mmengine - INFO - Epoch(train) [43][ 20/529] lr: 5.000000e-04 eta: 8:51:17 time: 0.357477 data_time: 0.038032 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.840733 2023/08/08 13:02:19 - mmengine - INFO - Epoch(train) [43][ 30/529] lr: 5.000000e-04 eta: 8:51:15 time: 0.364218 data_time: 0.038442 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.822933 2023/08/08 13:02:22 - mmengine - INFO - Epoch(train) [43][ 40/529] lr: 5.000000e-04 eta: 8:51:11 time: 0.367979 data_time: 0.038710 memory: 4565 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.852903 2023/08/08 13:02:26 - mmengine - INFO - Epoch(train) [43][ 50/529] lr: 5.000000e-04 eta: 8:51:07 time: 0.369061 data_time: 0.038970 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.817305 2023/08/08 13:02:29 - mmengine - INFO - Epoch(train) [43][ 60/529] lr: 5.000000e-04 eta: 8:51:03 time: 0.364299 data_time: 0.034919 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.858415 2023/08/08 13:02:33 - mmengine - INFO - Epoch(train) [43][ 70/529] lr: 5.000000e-04 eta: 8:50:58 time: 0.354223 data_time: 0.031083 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.844489 2023/08/08 13:02:36 - mmengine - INFO - Epoch(train) [43][ 80/529] lr: 5.000000e-04 eta: 8:50:54 time: 0.346109 data_time: 0.031047 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.831844 2023/08/08 13:02:40 - mmengine - INFO - Epoch(train) [43][ 90/529] lr: 5.000000e-04 eta: 8:50:52 time: 0.350707 data_time: 0.030806 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.877935 2023/08/08 13:02:43 - mmengine - INFO - Epoch(train) [43][100/529] lr: 5.000000e-04 eta: 8:50:48 time: 0.355067 data_time: 0.030759 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.826879 2023/08/08 13:02:47 - mmengine - INFO - Epoch(train) [43][110/529] lr: 5.000000e-04 eta: 8:50:44 time: 0.355147 data_time: 0.030696 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.830802 2023/08/08 13:02:50 - mmengine - INFO - Epoch(train) [43][120/529] lr: 5.000000e-04 eta: 8:50:40 time: 0.355040 data_time: 0.030549 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.882434 2023/08/08 13:02:54 - mmengine - INFO - Epoch(train) [43][130/529] lr: 5.000000e-04 eta: 8:50:35 time: 0.354115 data_time: 0.030340 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.815348 2023/08/08 13:02:57 - mmengine - INFO - Epoch(train) [43][140/529] lr: 5.000000e-04 eta: 8:50:31 time: 0.347720 data_time: 0.030713 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.865865 2023/08/08 13:03:01 - mmengine - INFO - Epoch(train) [43][150/529] lr: 5.000000e-04 eta: 8:50:27 time: 0.344093 data_time: 0.030610 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.849657 2023/08/08 13:03:04 - mmengine - INFO - Epoch(train) [43][160/529] lr: 5.000000e-04 eta: 8:50:23 time: 0.343688 data_time: 0.030668 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.856251 2023/08/08 13:03:08 - mmengine - INFO - Epoch(train) [43][170/529] lr: 5.000000e-04 eta: 8:50:19 time: 0.343569 data_time: 0.030672 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.753555 2023/08/08 13:03:11 - mmengine - INFO - Epoch(train) [43][180/529] lr: 5.000000e-04 eta: 8:50:15 time: 0.344137 data_time: 0.030689 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.800209 2023/08/08 13:03:14 - mmengine - INFO - Epoch(train) [43][190/529] lr: 5.000000e-04 eta: 8:50:11 time: 0.344129 data_time: 0.030972 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.848413 2023/08/08 13:03:18 - mmengine - INFO - Epoch(train) [43][200/529] lr: 5.000000e-04 eta: 8:50:07 time: 0.345799 data_time: 0.031176 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.854700 2023/08/08 13:03:21 - mmengine - INFO - Epoch(train) [43][210/529] lr: 5.000000e-04 eta: 8:50:02 time: 0.345543 data_time: 0.031081 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.855807 2023/08/08 13:03:25 - mmengine - INFO - Epoch(train) [43][220/529] lr: 5.000000e-04 eta: 8:49:58 time: 0.345140 data_time: 0.031087 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.846594 2023/08/08 13:03:28 - mmengine - INFO - Epoch(train) [43][230/529] lr: 5.000000e-04 eta: 8:49:54 time: 0.347325 data_time: 0.030907 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.794603 2023/08/08 13:03:32 - mmengine - INFO - Epoch(train) [43][240/529] lr: 5.000000e-04 eta: 8:49:50 time: 0.345883 data_time: 0.030354 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.923440 2023/08/08 13:03:35 - mmengine - INFO - Epoch(train) [43][250/529] lr: 5.000000e-04 eta: 8:49:46 time: 0.344596 data_time: 0.030274 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.838457 2023/08/08 13:03:39 - mmengine - INFO - Epoch(train) [43][260/529] lr: 5.000000e-04 eta: 8:49:42 time: 0.346871 data_time: 0.030502 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.844753 2023/08/08 13:03:42 - mmengine - INFO - Epoch(train) [43][270/529] lr: 5.000000e-04 eta: 8:49:39 time: 0.351026 data_time: 0.030692 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.847732 2023/08/08 13:03:46 - mmengine - INFO - Epoch(train) [43][280/529] lr: 5.000000e-04 eta: 8:49:34 time: 0.348288 data_time: 0.030880 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.899443 2023/08/08 13:03:49 - mmengine - INFO - Epoch(train) [43][290/529] lr: 5.000000e-04 eta: 8:49:30 time: 0.346813 data_time: 0.030855 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.814067 2023/08/08 13:03:53 - mmengine - INFO - Epoch(train) [43][300/529] lr: 5.000000e-04 eta: 8:49:26 time: 0.346179 data_time: 0.030831 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.816064 2023/08/08 13:03:56 - mmengine - INFO - Epoch(train) [43][310/529] lr: 5.000000e-04 eta: 8:49:22 time: 0.349703 data_time: 0.030724 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.843446 2023/08/08 13:04:00 - mmengine - INFO - Epoch(train) [43][320/529] lr: 5.000000e-04 eta: 8:49:20 time: 0.356937 data_time: 0.031110 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.847298 2023/08/08 13:04:04 - mmengine - INFO - Epoch(train) [43][330/529] lr: 5.000000e-04 eta: 8:49:18 time: 0.366552 data_time: 0.031026 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.768429 2023/08/08 13:04:08 - mmengine - INFO - Epoch(train) [43][340/529] lr: 5.000000e-04 eta: 8:49:14 time: 0.371151 data_time: 0.031063 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.830495 2023/08/08 13:04:11 - mmengine - INFO - Epoch(train) [43][350/529] lr: 5.000000e-04 eta: 8:49:10 time: 0.372162 data_time: 0.031073 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.863589 2023/08/08 13:04:15 - mmengine - INFO - Epoch(train) [43][360/529] lr: 5.000000e-04 eta: 8:49:06 time: 0.366877 data_time: 0.031065 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.855502 2023/08/08 13:04:18 - mmengine - INFO - Epoch(train) [43][370/529] lr: 5.000000e-04 eta: 8:49:02 time: 0.355387 data_time: 0.030493 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.840410 2023/08/08 13:04:21 - mmengine - INFO - Epoch(train) [43][380/529] lr: 5.000000e-04 eta: 8:48:58 time: 0.346959 data_time: 0.030644 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.857084 2023/08/08 13:04:25 - mmengine - INFO - Epoch(train) [43][390/529] lr: 5.000000e-04 eta: 8:48:54 time: 0.343750 data_time: 0.030601 memory: 4565 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.797149 2023/08/08 13:04:28 - mmengine - INFO - Epoch(train) [43][400/529] lr: 5.000000e-04 eta: 8:48:49 time: 0.342225 data_time: 0.030524 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.822580 2023/08/08 13:04:32 - mmengine - INFO - Epoch(train) [43][410/529] lr: 5.000000e-04 eta: 8:48:45 time: 0.341791 data_time: 0.030447 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.807560 2023/08/08 13:04:35 - mmengine - INFO - Epoch(train) [43][420/529] lr: 5.000000e-04 eta: 8:48:41 time: 0.341882 data_time: 0.030319 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.858629 2023/08/08 13:04:38 - mmengine - INFO - Epoch(train) [43][430/529] lr: 5.000000e-04 eta: 8:48:36 time: 0.340535 data_time: 0.030252 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.854223 2023/08/08 13:04:42 - mmengine - INFO - Epoch(train) [43][440/529] lr: 5.000000e-04 eta: 8:48:33 time: 0.344755 data_time: 0.030290 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.883010 2023/08/08 13:04:46 - mmengine - INFO - Epoch(train) [43][450/529] lr: 5.000000e-04 eta: 8:48:29 time: 0.347250 data_time: 0.030449 memory: 4565 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.894252 2023/08/08 13:04:49 - mmengine - INFO - Epoch(train) [43][460/529] lr: 5.000000e-04 eta: 8:48:25 time: 0.348523 data_time: 0.030530 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.835615 2023/08/08 13:04:53 - mmengine - INFO - Epoch(train) [43][470/529] lr: 5.000000e-04 eta: 8:48:21 time: 0.350256 data_time: 0.030657 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.911877 2023/08/08 13:04:56 - mmengine - INFO - Epoch(train) [43][480/529] lr: 5.000000e-04 eta: 8:48:18 time: 0.356229 data_time: 0.034108 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.801022 2023/08/08 13:05:00 - mmengine - INFO - Epoch(train) [43][490/529] lr: 5.000000e-04 eta: 8:48:14 time: 0.354880 data_time: 0.034279 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.849580 2023/08/08 13:05:03 - mmengine - INFO - Epoch(train) [43][500/529] lr: 5.000000e-04 eta: 8:48:11 time: 0.355915 data_time: 0.034571 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.833777 2023/08/08 13:05:07 - mmengine - INFO - Epoch(train) [43][510/529] lr: 5.000000e-04 eta: 8:48:07 time: 0.356324 data_time: 0.034816 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.820661 2023/08/08 13:05:10 - mmengine - INFO - Epoch(train) [43][520/529] lr: 5.000000e-04 eta: 8:48:02 time: 0.355656 data_time: 0.034822 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.807585 2023/08/08 13:05:13 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:05:17 - mmengine - INFO - Epoch(train) [44][ 10/529] lr: 5.000000e-04 eta: 8:47:55 time: 0.350680 data_time: 0.035329 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.887439 2023/08/08 13:05:20 - mmengine - INFO - Epoch(train) [44][ 20/529] lr: 5.000000e-04 eta: 8:47:51 time: 0.347931 data_time: 0.035683 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.811769 2023/08/08 13:05:24 - mmengine - INFO - Epoch(train) [44][ 30/529] lr: 5.000000e-04 eta: 8:47:47 time: 0.346239 data_time: 0.035417 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.852841 2023/08/08 13:05:27 - mmengine - INFO - Epoch(train) [44][ 40/529] lr: 5.000000e-04 eta: 8:47:43 time: 0.347419 data_time: 0.035672 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.834030 2023/08/08 13:05:31 - mmengine - INFO - Epoch(train) [44][ 50/529] lr: 5.000000e-04 eta: 8:47:39 time: 0.349071 data_time: 0.035835 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.831952 2023/08/08 13:05:34 - mmengine - INFO - Epoch(train) [44][ 60/529] lr: 5.000000e-04 eta: 8:47:34 time: 0.344613 data_time: 0.031320 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.891911 2023/08/08 13:05:38 - mmengine - INFO - Epoch(train) [44][ 70/529] lr: 5.000000e-04 eta: 8:47:30 time: 0.344080 data_time: 0.030625 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.840235 2023/08/08 13:05:41 - mmengine - INFO - Epoch(train) [44][ 80/529] lr: 5.000000e-04 eta: 8:47:26 time: 0.344836 data_time: 0.030319 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.904329 2023/08/08 13:05:45 - mmengine - INFO - Epoch(train) [44][ 90/529] lr: 5.000000e-04 eta: 8:47:23 time: 0.346303 data_time: 0.030155 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.857460 2023/08/08 13:05:48 - mmengine - INFO - Epoch(train) [44][100/529] lr: 5.000000e-04 eta: 8:47:19 time: 0.347469 data_time: 0.030403 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.848279 2023/08/08 13:05:52 - mmengine - INFO - Epoch(train) [44][110/529] lr: 5.000000e-04 eta: 8:47:14 time: 0.347603 data_time: 0.030405 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.824732 2023/08/08 13:05:55 - mmengine - INFO - Epoch(train) [44][120/529] lr: 5.000000e-04 eta: 8:47:10 time: 0.348120 data_time: 0.030471 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.817292 2023/08/08 13:05:59 - mmengine - INFO - Epoch(train) [44][130/529] lr: 5.000000e-04 eta: 8:47:06 time: 0.347201 data_time: 0.030509 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.831879 2023/08/08 13:06:02 - mmengine - INFO - Epoch(train) [44][140/529] lr: 5.000000e-04 eta: 8:47:02 time: 0.344676 data_time: 0.030368 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.849956 2023/08/08 13:06:05 - mmengine - INFO - Epoch(train) [44][150/529] lr: 5.000000e-04 eta: 8:46:58 time: 0.343148 data_time: 0.030605 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.812649 2023/08/08 13:06:09 - mmengine - INFO - Epoch(train) [44][160/529] lr: 5.000000e-04 eta: 8:46:54 time: 0.343628 data_time: 0.031468 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.824394 2023/08/08 13:06:12 - mmengine - INFO - Epoch(train) [44][170/529] lr: 5.000000e-04 eta: 8:46:50 time: 0.345061 data_time: 0.031876 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.889542 2023/08/08 13:06:16 - mmengine - INFO - Epoch(train) [44][180/529] lr: 5.000000e-04 eta: 8:46:46 time: 0.345875 data_time: 0.031927 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.858790 2023/08/08 13:06:19 - mmengine - INFO - Epoch(train) [44][190/529] lr: 5.000000e-04 eta: 8:46:42 time: 0.348492 data_time: 0.031990 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.854095 2023/08/08 13:06:23 - mmengine - INFO - Epoch(train) [44][200/529] lr: 5.000000e-04 eta: 8:46:38 time: 0.349226 data_time: 0.031498 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.848190 2023/08/08 13:06:26 - mmengine - INFO - Epoch(train) [44][210/529] lr: 5.000000e-04 eta: 8:46:34 time: 0.350011 data_time: 0.030769 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.818076 2023/08/08 13:06:30 - mmengine - INFO - Epoch(train) [44][220/529] lr: 5.000000e-04 eta: 8:46:30 time: 0.349669 data_time: 0.030858 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.852483 2023/08/08 13:06:33 - mmengine - INFO - Epoch(train) [44][230/529] lr: 5.000000e-04 eta: 8:46:26 time: 0.349455 data_time: 0.031930 memory: 4565 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.740995 2023/08/08 13:06:37 - mmengine - INFO - Epoch(train) [44][240/529] lr: 5.000000e-04 eta: 8:46:22 time: 0.345793 data_time: 0.032939 memory: 4565 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.821214 2023/08/08 13:06:40 - mmengine - INFO - Epoch(train) [44][250/529] lr: 5.000000e-04 eta: 8:46:17 time: 0.344563 data_time: 0.033978 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.830347 2023/08/08 13:06:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:06:44 - mmengine - INFO - Epoch(train) [44][260/529] lr: 5.000000e-04 eta: 8:46:13 time: 0.342881 data_time: 0.034326 memory: 4565 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.799686 2023/08/08 13:06:47 - mmengine - INFO - Epoch(train) [44][270/529] lr: 5.000000e-04 eta: 8:46:09 time: 0.342228 data_time: 0.034074 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.877016 2023/08/08 13:06:50 - mmengine - INFO - Epoch(train) [44][280/529] lr: 5.000000e-04 eta: 8:46:05 time: 0.341361 data_time: 0.033176 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.788744 2023/08/08 13:06:54 - mmengine - INFO - Epoch(train) [44][290/529] lr: 5.000000e-04 eta: 8:46:01 time: 0.342413 data_time: 0.032497 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.856257 2023/08/08 13:06:57 - mmengine - INFO - Epoch(train) [44][300/529] lr: 5.000000e-04 eta: 8:45:56 time: 0.342040 data_time: 0.031674 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.907161 2023/08/08 13:07:01 - mmengine - INFO - Epoch(train) [44][310/529] lr: 5.000000e-04 eta: 8:45:53 time: 0.344422 data_time: 0.031449 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.836209 2023/08/08 13:07:04 - mmengine - INFO - Epoch(train) [44][320/529] lr: 5.000000e-04 eta: 8:45:48 time: 0.342951 data_time: 0.031303 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.836932 2023/08/08 13:07:08 - mmengine - INFO - Epoch(train) [44][330/529] lr: 5.000000e-04 eta: 8:45:44 time: 0.343862 data_time: 0.031572 memory: 4565 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.826203 2023/08/08 13:07:11 - mmengine - INFO - Epoch(train) [44][340/529] lr: 5.000000e-04 eta: 8:45:40 time: 0.343457 data_time: 0.032111 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.897727 2023/08/08 13:07:15 - mmengine - INFO - Epoch(train) [44][350/529] lr: 5.000000e-04 eta: 8:45:36 time: 0.345856 data_time: 0.032296 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.842021 2023/08/08 13:07:18 - mmengine - INFO - Epoch(train) [44][360/529] lr: 5.000000e-04 eta: 8:45:32 time: 0.343919 data_time: 0.032174 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.832062 2023/08/08 13:07:21 - mmengine - INFO - Epoch(train) [44][370/529] lr: 5.000000e-04 eta: 8:45:28 time: 0.344195 data_time: 0.032040 memory: 4565 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.753376 2023/08/08 13:07:25 - mmengine - INFO - Epoch(train) [44][380/529] lr: 5.000000e-04 eta: 8:45:23 time: 0.343558 data_time: 0.031659 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.913946 2023/08/08 13:07:28 - mmengine - INFO - Epoch(train) [44][390/529] lr: 5.000000e-04 eta: 8:45:19 time: 0.343296 data_time: 0.030904 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.859226 2023/08/08 13:07:32 - mmengine - INFO - Epoch(train) [44][400/529] lr: 5.000000e-04 eta: 8:45:16 time: 0.344707 data_time: 0.034084 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.784249 2023/08/08 13:07:35 - mmengine - INFO - Epoch(train) [44][410/529] lr: 5.000000e-04 eta: 8:45:12 time: 0.346209 data_time: 0.034156 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.813989 2023/08/08 13:07:39 - mmengine - INFO - Epoch(train) [44][420/529] lr: 5.000000e-04 eta: 8:45:08 time: 0.347677 data_time: 0.034318 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.797841 2023/08/08 13:07:42 - mmengine - INFO - Epoch(train) [44][430/529] lr: 5.000000e-04 eta: 8:45:03 time: 0.348024 data_time: 0.034234 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.872321 2023/08/08 13:07:46 - mmengine - INFO - Epoch(train) [44][440/529] lr: 5.000000e-04 eta: 8:44:59 time: 0.348116 data_time: 0.034056 memory: 4565 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.852282 2023/08/08 13:07:49 - mmengine - INFO - Epoch(train) [44][450/529] lr: 5.000000e-04 eta: 8:44:55 time: 0.345124 data_time: 0.030470 memory: 4565 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.814722 2023/08/08 13:07:53 - mmengine - INFO - Epoch(train) [44][460/529] lr: 5.000000e-04 eta: 8:44:51 time: 0.345162 data_time: 0.030588 memory: 4565 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.927277 2023/08/08 13:07:56 - mmengine - INFO - Epoch(train) [44][470/529] lr: 5.000000e-04 eta: 8:44:47 time: 0.346424 data_time: 0.030466 memory: 4565 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.875104 2023/08/08 13:08:00 - mmengine - INFO - Epoch(train) [44][480/529] lr: 5.000000e-04 eta: 8:44:44 time: 0.350788 data_time: 0.030873 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.851387 2023/08/08 13:08:03 - mmengine - INFO - Epoch(train) [44][490/529] lr: 5.000000e-04 eta: 8:44:40 time: 0.351188 data_time: 0.031181 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.829950 2023/08/08 13:08:07 - mmengine - INFO - Epoch(train) [44][500/529] lr: 5.000000e-04 eta: 8:44:36 time: 0.351312 data_time: 0.031299 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.846514 2023/08/08 13:08:10 - mmengine - INFO - Epoch(train) [44][510/529] lr: 5.000000e-04 eta: 8:44:32 time: 0.349836 data_time: 0.031212 memory: 4565 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.879068 2023/08/08 13:08:13 - mmengine - INFO - Epoch(train) [44][520/529] lr: 5.000000e-04 eta: 8:44:28 time: 0.347954 data_time: 0.031251 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.880377 2023/08/08 13:08:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:08:20 - mmengine - INFO - Epoch(train) [45][ 10/529] lr: 5.000000e-04 eta: 8:44:21 time: 0.350621 data_time: 0.036128 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.827344 2023/08/08 13:08:24 - mmengine - INFO - Epoch(train) [45][ 20/529] lr: 5.000000e-04 eta: 8:44:17 time: 0.350689 data_time: 0.036763 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.850423 2023/08/08 13:08:27 - mmengine - INFO - Epoch(train) [45][ 30/529] lr: 5.000000e-04 eta: 8:44:13 time: 0.352016 data_time: 0.036958 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.845560 2023/08/08 13:08:31 - mmengine - INFO - Epoch(train) [45][ 40/529] lr: 5.000000e-04 eta: 8:44:09 time: 0.352174 data_time: 0.036782 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.870593 2023/08/08 13:08:34 - mmengine - INFO - Epoch(train) [45][ 50/529] lr: 5.000000e-04 eta: 8:44:05 time: 0.354424 data_time: 0.036653 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.805502 2023/08/08 13:08:38 - mmengine - INFO - Epoch(train) [45][ 60/529] lr: 5.000000e-04 eta: 8:44:02 time: 0.353144 data_time: 0.034548 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.809070 2023/08/08 13:08:42 - mmengine - INFO - Epoch(train) [45][ 70/529] lr: 5.000000e-04 eta: 8:43:59 time: 0.356987 data_time: 0.034567 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.814167 2023/08/08 13:08:45 - mmengine - INFO - Epoch(train) [45][ 80/529] lr: 5.000000e-04 eta: 8:43:55 time: 0.357949 data_time: 0.034966 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.856052 2023/08/08 13:08:49 - mmengine - INFO - Epoch(train) [45][ 90/529] lr: 5.000000e-04 eta: 8:43:51 time: 0.358322 data_time: 0.035346 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.856557 2023/08/08 13:08:52 - mmengine - INFO - Epoch(train) [45][100/529] lr: 5.000000e-04 eta: 8:43:47 time: 0.357532 data_time: 0.035501 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.831771 2023/08/08 13:08:56 - mmengine - INFO - Epoch(train) [45][110/529] lr: 5.000000e-04 eta: 8:43:44 time: 0.358691 data_time: 0.032314 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.766983 2023/08/08 13:08:59 - mmengine - INFO - Epoch(train) [45][120/529] lr: 5.000000e-04 eta: 8:43:40 time: 0.355469 data_time: 0.031595 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.846204 2023/08/08 13:09:03 - mmengine - INFO - Epoch(train) [45][130/529] lr: 5.000000e-04 eta: 8:43:37 time: 0.356907 data_time: 0.031337 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.805261 2023/08/08 13:09:06 - mmengine - INFO - Epoch(train) [45][140/529] lr: 5.000000e-04 eta: 8:43:33 time: 0.356862 data_time: 0.030880 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.812945 2023/08/08 13:09:10 - mmengine - INFO - Epoch(train) [45][150/529] lr: 5.000000e-04 eta: 8:43:29 time: 0.357713 data_time: 0.030743 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.882993 2023/08/08 13:09:13 - mmengine - INFO - Epoch(train) [45][160/529] lr: 5.000000e-04 eta: 8:43:25 time: 0.349339 data_time: 0.030596 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.892468 2023/08/08 13:09:17 - mmengine - INFO - Epoch(train) [45][170/529] lr: 5.000000e-04 eta: 8:43:21 time: 0.351296 data_time: 0.030381 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.848640 2023/08/08 13:09:20 - mmengine - INFO - Epoch(train) [45][180/529] lr: 5.000000e-04 eta: 8:43:17 time: 0.348369 data_time: 0.029999 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.847146 2023/08/08 13:09:24 - mmengine - INFO - Epoch(train) [45][190/529] lr: 5.000000e-04 eta: 8:43:13 time: 0.349136 data_time: 0.030202 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.889594 2023/08/08 13:09:28 - mmengine - INFO - Epoch(train) [45][200/529] lr: 5.000000e-04 eta: 8:43:11 time: 0.356779 data_time: 0.030308 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.830274 2023/08/08 13:09:32 - mmengine - INFO - Epoch(train) [45][210/529] lr: 5.000000e-04 eta: 8:43:08 time: 0.366241 data_time: 0.030280 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.791325 2023/08/08 13:09:36 - mmengine - INFO - Epoch(train) [45][220/529] lr: 5.000000e-04 eta: 8:43:06 time: 0.372594 data_time: 0.030391 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.803862 2023/08/08 13:09:39 - mmengine - INFO - Epoch(train) [45][230/529] lr: 5.000000e-04 eta: 8:43:03 time: 0.379726 data_time: 0.030393 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.877470 2023/08/08 13:09:43 - mmengine - INFO - Epoch(train) [45][240/529] lr: 5.000000e-04 eta: 8:43:00 time: 0.381240 data_time: 0.031270 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.861187 2023/08/08 13:09:47 - mmengine - INFO - Epoch(train) [45][250/529] lr: 5.000000e-04 eta: 8:42:56 time: 0.375768 data_time: 0.032288 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.841339 2023/08/08 13:09:50 - mmengine - INFO - Epoch(train) [45][260/529] lr: 5.000000e-04 eta: 8:42:53 time: 0.370108 data_time: 0.032420 memory: 4565 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.885612 2023/08/08 13:09:54 - mmengine - INFO - Epoch(train) [45][270/529] lr: 5.000000e-04 eta: 8:42:49 time: 0.362017 data_time: 0.032432 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.860486 2023/08/08 13:09:57 - mmengine - INFO - Epoch(train) [45][280/529] lr: 5.000000e-04 eta: 8:42:45 time: 0.355295 data_time: 0.032467 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.835022 2023/08/08 13:10:01 - mmengine - INFO - Epoch(train) [45][290/529] lr: 5.000000e-04 eta: 8:42:41 time: 0.353930 data_time: 0.031493 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.833696 2023/08/08 13:10:04 - mmengine - INFO - Epoch(train) [45][300/529] lr: 5.000000e-04 eta: 8:42:37 time: 0.352497 data_time: 0.030484 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.821678 2023/08/08 13:10:08 - mmengine - INFO - Epoch(train) [45][310/529] lr: 5.000000e-04 eta: 8:42:33 time: 0.351446 data_time: 0.031220 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.819218 2023/08/08 13:10:11 - mmengine - INFO - Epoch(train) [45][320/529] lr: 5.000000e-04 eta: 8:42:30 time: 0.352337 data_time: 0.031385 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.835482 2023/08/08 13:10:15 - mmengine - INFO - Epoch(train) [45][330/529] lr: 5.000000e-04 eta: 8:42:26 time: 0.351976 data_time: 0.031297 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.850894 2023/08/08 13:10:18 - mmengine - INFO - Epoch(train) [45][340/529] lr: 5.000000e-04 eta: 8:42:22 time: 0.351726 data_time: 0.031408 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.819926 2023/08/08 13:10:22 - mmengine - INFO - Epoch(train) [45][350/529] lr: 5.000000e-04 eta: 8:42:18 time: 0.350695 data_time: 0.031300 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.840618 2023/08/08 13:10:25 - mmengine - INFO - Epoch(train) [45][360/529] lr: 5.000000e-04 eta: 8:42:14 time: 0.348989 data_time: 0.030581 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.820733 2023/08/08 13:10:29 - mmengine - INFO - Epoch(train) [45][370/529] lr: 5.000000e-04 eta: 8:42:10 time: 0.349747 data_time: 0.030709 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.843290 2023/08/08 13:10:32 - mmengine - INFO - Epoch(train) [45][380/529] lr: 5.000000e-04 eta: 8:42:06 time: 0.350471 data_time: 0.030801 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.827589 2023/08/08 13:10:36 - mmengine - INFO - Epoch(train) [45][390/529] lr: 5.000000e-04 eta: 8:42:02 time: 0.349973 data_time: 0.030646 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.863183 2023/08/08 13:10:39 - mmengine - INFO - Epoch(train) [45][400/529] lr: 5.000000e-04 eta: 8:41:59 time: 0.351493 data_time: 0.030748 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.892148 2023/08/08 13:10:43 - mmengine - INFO - Epoch(train) [45][410/529] lr: 5.000000e-04 eta: 8:41:55 time: 0.351871 data_time: 0.030717 memory: 4565 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.835432 2023/08/08 13:10:46 - mmengine - INFO - Epoch(train) [45][420/529] lr: 5.000000e-04 eta: 8:41:51 time: 0.350383 data_time: 0.030556 memory: 4565 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.821154 2023/08/08 13:10:50 - mmengine - INFO - Epoch(train) [45][430/529] lr: 5.000000e-04 eta: 8:41:48 time: 0.354242 data_time: 0.030602 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.883911 2023/08/08 13:10:54 - mmengine - INFO - Epoch(train) [45][440/529] lr: 5.000000e-04 eta: 8:41:44 time: 0.354604 data_time: 0.030841 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.877686 2023/08/08 13:10:57 - mmengine - INFO - Epoch(train) [45][450/529] lr: 5.000000e-04 eta: 8:41:40 time: 0.353238 data_time: 0.030826 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.873134 2023/08/08 13:11:01 - mmengine - INFO - Epoch(train) [45][460/529] lr: 5.000000e-04 eta: 8:41:36 time: 0.353180 data_time: 0.030856 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.915985 2023/08/08 13:11:04 - mmengine - INFO - Epoch(train) [45][470/529] lr: 5.000000e-04 eta: 8:41:33 time: 0.359209 data_time: 0.030920 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.878911 2023/08/08 13:11:08 - mmengine - INFO - Epoch(train) [45][480/529] lr: 5.000000e-04 eta: 8:41:30 time: 0.357663 data_time: 0.031039 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.825090 2023/08/08 13:11:12 - mmengine - INFO - Epoch(train) [45][490/529] lr: 5.000000e-04 eta: 8:41:26 time: 0.360428 data_time: 0.031216 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.822451 2023/08/08 13:11:15 - mmengine - INFO - Epoch(train) [45][500/529] lr: 5.000000e-04 eta: 8:41:22 time: 0.360770 data_time: 0.031294 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.805764 2023/08/08 13:11:19 - mmengine - INFO - Epoch(train) [45][510/529] lr: 5.000000e-04 eta: 8:41:18 time: 0.360483 data_time: 0.031343 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.840944 2023/08/08 13:11:22 - mmengine - INFO - Epoch(train) [45][520/529] lr: 5.000000e-04 eta: 8:41:14 time: 0.354728 data_time: 0.031201 memory: 4565 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.831039 2023/08/08 13:11:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:11:29 - mmengine - INFO - Epoch(train) [46][ 10/529] lr: 5.000000e-04 eta: 8:41:07 time: 0.351777 data_time: 0.034918 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.872142 2023/08/08 13:11:32 - mmengine - INFO - Epoch(train) [46][ 20/529] lr: 5.000000e-04 eta: 8:41:03 time: 0.351134 data_time: 0.035071 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.817555 2023/08/08 13:11:36 - mmengine - INFO - Epoch(train) [46][ 30/529] lr: 5.000000e-04 eta: 8:40:59 time: 0.350607 data_time: 0.035026 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.851082 2023/08/08 13:11:39 - mmengine - INFO - Epoch(train) [46][ 40/529] lr: 5.000000e-04 eta: 8:40:55 time: 0.349959 data_time: 0.035117 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.790011 2023/08/08 13:11:43 - mmengine - INFO - Epoch(train) [46][ 50/529] lr: 5.000000e-04 eta: 8:40:51 time: 0.349449 data_time: 0.035183 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.789417 2023/08/08 13:11:46 - mmengine - INFO - Epoch(train) [46][ 60/529] lr: 5.000000e-04 eta: 8:40:48 time: 0.347386 data_time: 0.030697 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.847604 2023/08/08 13:11:50 - mmengine - INFO - Epoch(train) [46][ 70/529] lr: 5.000000e-04 eta: 8:40:44 time: 0.347284 data_time: 0.030673 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.895603 2023/08/08 13:11:53 - mmengine - INFO - Epoch(train) [46][ 80/529] lr: 5.000000e-04 eta: 8:40:39 time: 0.346512 data_time: 0.030590 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.768200 2023/08/08 13:11:57 - mmengine - INFO - Epoch(train) [46][ 90/529] lr: 5.000000e-04 eta: 8:40:36 time: 0.348604 data_time: 0.030853 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.881089 2023/08/08 13:12:00 - mmengine - INFO - Epoch(train) [46][100/529] lr: 5.000000e-04 eta: 8:40:32 time: 0.348717 data_time: 0.030943 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.815045 2023/08/08 13:12:04 - mmengine - INFO - Epoch(train) [46][110/529] lr: 5.000000e-04 eta: 8:40:27 time: 0.345829 data_time: 0.030999 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.822677 2023/08/08 13:12:07 - mmengine - INFO - Epoch(train) [46][120/529] lr: 5.000000e-04 eta: 8:40:23 time: 0.344876 data_time: 0.030751 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.838470 2023/08/08 13:12:10 - mmengine - INFO - Epoch(train) [46][130/529] lr: 5.000000e-04 eta: 8:40:19 time: 0.345692 data_time: 0.030680 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.889522 2023/08/08 13:12:14 - mmengine - INFO - Epoch(train) [46][140/529] lr: 5.000000e-04 eta: 8:40:15 time: 0.345150 data_time: 0.030697 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.834967 2023/08/08 13:12:18 - mmengine - INFO - Epoch(train) [46][150/529] lr: 5.000000e-04 eta: 8:40:12 time: 0.350339 data_time: 0.030847 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.846322 2023/08/08 13:12:21 - mmengine - INFO - Epoch(train) [46][160/529] lr: 5.000000e-04 eta: 8:40:08 time: 0.350020 data_time: 0.030839 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.788026 2023/08/08 13:12:24 - mmengine - INFO - Epoch(train) [46][170/529] lr: 5.000000e-04 eta: 8:40:04 time: 0.350128 data_time: 0.030935 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.845675 2023/08/08 13:12:28 - mmengine - INFO - Epoch(train) [46][180/529] lr: 5.000000e-04 eta: 8:40:00 time: 0.351926 data_time: 0.030976 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.849147 2023/08/08 13:12:31 - mmengine - INFO - Epoch(train) [46][190/529] lr: 5.000000e-04 eta: 8:39:56 time: 0.350437 data_time: 0.030795 memory: 4565 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.866319 2023/08/08 13:12:33 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:12:35 - mmengine - INFO - Epoch(train) [46][200/529] lr: 5.000000e-04 eta: 8:39:52 time: 0.345403 data_time: 0.030726 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.827007 2023/08/08 13:12:39 - mmengine - INFO - Epoch(train) [46][210/529] lr: 5.000000e-04 eta: 8:39:49 time: 0.350017 data_time: 0.031306 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.843888 2023/08/08 13:12:42 - mmengine - INFO - Epoch(train) [46][220/529] lr: 5.000000e-04 eta: 8:39:44 time: 0.350331 data_time: 0.031220 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.858032 2023/08/08 13:12:45 - mmengine - INFO - Epoch(train) [46][230/529] lr: 5.000000e-04 eta: 8:39:40 time: 0.347716 data_time: 0.031244 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.867844 2023/08/08 13:12:49 - mmengine - INFO - Epoch(train) [46][240/529] lr: 5.000000e-04 eta: 8:39:36 time: 0.347117 data_time: 0.031094 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.856722 2023/08/08 13:12:52 - mmengine - INFO - Epoch(train) [46][250/529] lr: 5.000000e-04 eta: 8:39:32 time: 0.347319 data_time: 0.031068 memory: 4565 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.817928 2023/08/08 13:12:56 - mmengine - INFO - Epoch(train) [46][260/529] lr: 5.000000e-04 eta: 8:39:28 time: 0.343386 data_time: 0.030558 memory: 4565 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.828735 2023/08/08 13:12:59 - mmengine - INFO - Epoch(train) [46][270/529] lr: 5.000000e-04 eta: 8:39:24 time: 0.343987 data_time: 0.031035 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.845772 2023/08/08 13:13:03 - mmengine - INFO - Epoch(train) [46][280/529] lr: 5.000000e-04 eta: 8:39:20 time: 0.344294 data_time: 0.031095 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.827209 2023/08/08 13:13:06 - mmengine - INFO - Epoch(train) [46][290/529] lr: 5.000000e-04 eta: 8:39:16 time: 0.345608 data_time: 0.031951 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.845249 2023/08/08 13:13:10 - mmengine - INFO - Epoch(train) [46][300/529] lr: 5.000000e-04 eta: 8:39:12 time: 0.345402 data_time: 0.032787 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.793576 2023/08/08 13:13:13 - mmengine - INFO - Epoch(train) [46][310/529] lr: 5.000000e-04 eta: 8:39:08 time: 0.347957 data_time: 0.033749 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.885883 2023/08/08 13:13:17 - mmengine - INFO - Epoch(train) [46][320/529] lr: 5.000000e-04 eta: 8:39:04 time: 0.347345 data_time: 0.034376 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.849363 2023/08/08 13:13:20 - mmengine - INFO - Epoch(train) [46][330/529] lr: 5.000000e-04 eta: 8:39:00 time: 0.347595 data_time: 0.035269 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.868257 2023/08/08 13:13:23 - mmengine - INFO - Epoch(train) [46][340/529] lr: 5.000000e-04 eta: 8:38:56 time: 0.347755 data_time: 0.034814 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.842483 2023/08/08 13:13:27 - mmengine - INFO - Epoch(train) [46][350/529] lr: 5.000000e-04 eta: 8:38:53 time: 0.350631 data_time: 0.033852 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.834841 2023/08/08 13:13:30 - mmengine - INFO - Epoch(train) [46][360/529] lr: 5.000000e-04 eta: 8:38:48 time: 0.347515 data_time: 0.032765 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.786053 2023/08/08 13:13:34 - mmengine - INFO - Epoch(train) [46][370/529] lr: 5.000000e-04 eta: 8:38:44 time: 0.346829 data_time: 0.031711 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.877344 2023/08/08 13:13:37 - mmengine - INFO - Epoch(train) [46][380/529] lr: 5.000000e-04 eta: 8:38:40 time: 0.346547 data_time: 0.030866 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.792131 2023/08/08 13:13:41 - mmengine - INFO - Epoch(train) [46][390/529] lr: 5.000000e-04 eta: 8:38:36 time: 0.345767 data_time: 0.030620 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.839413 2023/08/08 13:13:44 - mmengine - INFO - Epoch(train) [46][400/529] lr: 5.000000e-04 eta: 8:38:33 time: 0.345944 data_time: 0.031223 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.799297 2023/08/08 13:13:48 - mmengine - INFO - Epoch(train) [46][410/529] lr: 5.000000e-04 eta: 8:38:28 time: 0.345832 data_time: 0.031298 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.835384 2023/08/08 13:13:51 - mmengine - INFO - Epoch(train) [46][420/529] lr: 5.000000e-04 eta: 8:38:24 time: 0.346049 data_time: 0.031255 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.861439 2023/08/08 13:13:55 - mmengine - INFO - Epoch(train) [46][430/529] lr: 5.000000e-04 eta: 8:38:20 time: 0.345774 data_time: 0.031092 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.802350 2023/08/08 13:13:58 - mmengine - INFO - Epoch(train) [46][440/529] lr: 5.000000e-04 eta: 8:38:17 time: 0.349399 data_time: 0.031024 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.812596 2023/08/08 13:14:02 - mmengine - INFO - Epoch(train) [46][450/529] lr: 5.000000e-04 eta: 8:38:13 time: 0.350258 data_time: 0.031143 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.805212 2023/08/08 13:14:05 - mmengine - INFO - Epoch(train) [46][460/529] lr: 5.000000e-04 eta: 8:38:10 time: 0.354349 data_time: 0.031827 memory: 4565 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.889683 2023/08/08 13:14:09 - mmengine - INFO - Epoch(train) [46][470/529] lr: 5.000000e-04 eta: 8:38:06 time: 0.355942 data_time: 0.031773 memory: 4565 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.840225 2023/08/08 13:14:12 - mmengine - INFO - Epoch(train) [46][480/529] lr: 5.000000e-04 eta: 8:38:02 time: 0.357328 data_time: 0.031645 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.829614 2023/08/08 13:14:16 - mmengine - INFO - Epoch(train) [46][490/529] lr: 5.000000e-04 eta: 8:37:58 time: 0.354082 data_time: 0.031505 memory: 4565 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.884218 2023/08/08 13:14:19 - mmengine - INFO - Epoch(train) [46][500/529] lr: 5.000000e-04 eta: 8:37:54 time: 0.350406 data_time: 0.030766 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.866186 2023/08/08 13:14:23 - mmengine - INFO - Epoch(train) [46][510/529] lr: 5.000000e-04 eta: 8:37:50 time: 0.346883 data_time: 0.030091 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.838720 2023/08/08 13:14:26 - mmengine - INFO - Epoch(train) [46][520/529] lr: 5.000000e-04 eta: 8:37:46 time: 0.346499 data_time: 0.030392 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.844274 2023/08/08 13:14:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:14:33 - mmengine - INFO - Epoch(train) [47][ 10/529] lr: 5.000000e-04 eta: 8:37:39 time: 0.349673 data_time: 0.034453 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.828752 2023/08/08 13:14:37 - mmengine - INFO - Epoch(train) [47][ 20/529] lr: 5.000000e-04 eta: 8:37:36 time: 0.355059 data_time: 0.038314 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.884847 2023/08/08 13:14:40 - mmengine - INFO - Epoch(train) [47][ 30/529] lr: 5.000000e-04 eta: 8:37:32 time: 0.357610 data_time: 0.038603 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.811166 2023/08/08 13:14:44 - mmengine - INFO - Epoch(train) [47][ 40/529] lr: 5.000000e-04 eta: 8:37:29 time: 0.362511 data_time: 0.038866 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.845905 2023/08/08 13:14:48 - mmengine - INFO - Epoch(train) [47][ 50/529] lr: 5.000000e-04 eta: 8:37:25 time: 0.365306 data_time: 0.039141 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.856736 2023/08/08 13:14:51 - mmengine - INFO - Epoch(train) [47][ 60/529] lr: 5.000000e-04 eta: 8:37:21 time: 0.359165 data_time: 0.035155 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.853927 2023/08/08 13:14:55 - mmengine - INFO - Epoch(train) [47][ 70/529] lr: 5.000000e-04 eta: 8:37:17 time: 0.353421 data_time: 0.031370 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.791028 2023/08/08 13:14:58 - mmengine - INFO - Epoch(train) [47][ 80/529] lr: 5.000000e-04 eta: 8:37:13 time: 0.350336 data_time: 0.031037 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.878282 2023/08/08 13:15:01 - mmengine - INFO - Epoch(train) [47][ 90/529] lr: 5.000000e-04 eta: 8:37:09 time: 0.344406 data_time: 0.030647 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.870648 2023/08/08 13:15:05 - mmengine - INFO - Epoch(train) [47][100/529] lr: 5.000000e-04 eta: 8:37:05 time: 0.343116 data_time: 0.030604 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.778406 2023/08/08 13:15:08 - mmengine - INFO - Epoch(train) [47][110/529] lr: 5.000000e-04 eta: 8:37:01 time: 0.344529 data_time: 0.030830 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.909765 2023/08/08 13:15:12 - mmengine - INFO - Epoch(train) [47][120/529] lr: 5.000000e-04 eta: 8:36:57 time: 0.345547 data_time: 0.030904 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.856233 2023/08/08 13:15:15 - mmengine - INFO - Epoch(train) [47][130/529] lr: 5.000000e-04 eta: 8:36:53 time: 0.346103 data_time: 0.030892 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.822872 2023/08/08 13:15:19 - mmengine - INFO - Epoch(train) [47][140/529] lr: 5.000000e-04 eta: 8:36:49 time: 0.346049 data_time: 0.030858 memory: 4565 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.858900 2023/08/08 13:15:22 - mmengine - INFO - Epoch(train) [47][150/529] lr: 5.000000e-04 eta: 8:36:45 time: 0.345160 data_time: 0.030766 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.842741 2023/08/08 13:15:26 - mmengine - INFO - Epoch(train) [47][160/529] lr: 5.000000e-04 eta: 8:36:41 time: 0.343908 data_time: 0.030624 memory: 4565 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.788385 2023/08/08 13:15:29 - mmengine - INFO - Epoch(train) [47][170/529] lr: 5.000000e-04 eta: 8:36:37 time: 0.344198 data_time: 0.031505 memory: 4565 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.807804 2023/08/08 13:15:33 - mmengine - INFO - Epoch(train) [47][180/529] lr: 5.000000e-04 eta: 8:36:33 time: 0.348278 data_time: 0.035416 memory: 4565 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.868258 2023/08/08 13:15:36 - mmengine - INFO - Epoch(train) [47][190/529] lr: 5.000000e-04 eta: 8:36:30 time: 0.351370 data_time: 0.035348 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.845406 2023/08/08 13:15:40 - mmengine - INFO - Epoch(train) [47][200/529] lr: 5.000000e-04 eta: 8:36:26 time: 0.351648 data_time: 0.035202 memory: 4565 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.869261 2023/08/08 13:15:43 - mmengine - INFO - Epoch(train) [47][210/529] lr: 5.000000e-04 eta: 8:36:21 time: 0.351038 data_time: 0.035021 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.852983 2023/08/08 13:15:47 - mmengine - INFO - Epoch(train) [47][220/529] lr: 5.000000e-04 eta: 8:36:18 time: 0.350898 data_time: 0.034137 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.826789 2023/08/08 13:15:50 - mmengine - INFO - Epoch(train) [47][230/529] lr: 5.000000e-04 eta: 8:36:14 time: 0.347087 data_time: 0.030270 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.820897 2023/08/08 13:15:54 - mmengine - INFO - Epoch(train) [47][240/529] lr: 5.000000e-04 eta: 8:36:10 time: 0.346233 data_time: 0.031292 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.866948 2023/08/08 13:15:57 - mmengine - INFO - Epoch(train) [47][250/529] lr: 5.000000e-04 eta: 8:36:06 time: 0.347136 data_time: 0.032165 memory: 4565 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.879514 2023/08/08 13:16:00 - mmengine - INFO - Epoch(train) [47][260/529] lr: 5.000000e-04 eta: 8:36:02 time: 0.348121 data_time: 0.032782 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.860175 2023/08/08 13:16:04 - mmengine - INFO - Epoch(train) [47][270/529] lr: 5.000000e-04 eta: 8:35:58 time: 0.347306 data_time: 0.033017 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.860240 2023/08/08 13:16:07 - mmengine - INFO - Epoch(train) [47][280/529] lr: 5.000000e-04 eta: 8:35:54 time: 0.347566 data_time: 0.032891 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.894851 2023/08/08 13:16:11 - mmengine - INFO - Epoch(train) [47][290/529] lr: 5.000000e-04 eta: 8:35:50 time: 0.346596 data_time: 0.032200 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.842966 2023/08/08 13:16:14 - mmengine - INFO - Epoch(train) [47][300/529] lr: 5.000000e-04 eta: 8:35:46 time: 0.348409 data_time: 0.031612 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.828426 2023/08/08 13:16:18 - mmengine - INFO - Epoch(train) [47][310/529] lr: 5.000000e-04 eta: 8:35:42 time: 0.348343 data_time: 0.031019 memory: 4565 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.851186 2023/08/08 13:16:21 - mmengine - INFO - Epoch(train) [47][320/529] lr: 5.000000e-04 eta: 8:35:38 time: 0.348055 data_time: 0.030793 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.904402 2023/08/08 13:16:25 - mmengine - INFO - Epoch(train) [47][330/529] lr: 5.000000e-04 eta: 8:35:34 time: 0.348077 data_time: 0.030917 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.837161 2023/08/08 13:16:28 - mmengine - INFO - Epoch(train) [47][340/529] lr: 5.000000e-04 eta: 8:35:31 time: 0.351358 data_time: 0.030757 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.842031 2023/08/08 13:16:32 - mmengine - INFO - Epoch(train) [47][350/529] lr: 5.000000e-04 eta: 8:35:27 time: 0.350102 data_time: 0.031268 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.848414 2023/08/08 13:16:36 - mmengine - INFO - Epoch(train) [47][360/529] lr: 5.000000e-04 eta: 8:35:24 time: 0.356416 data_time: 0.035063 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.817968 2023/08/08 13:16:39 - mmengine - INFO - Epoch(train) [47][370/529] lr: 5.000000e-04 eta: 8:35:20 time: 0.357563 data_time: 0.035943 memory: 4565 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.797809 2023/08/08 13:16:43 - mmengine - INFO - Epoch(train) [47][380/529] lr: 5.000000e-04 eta: 8:35:16 time: 0.358244 data_time: 0.035876 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.806404 2023/08/08 13:16:46 - mmengine - INFO - Epoch(train) [47][390/529] lr: 5.000000e-04 eta: 8:35:13 time: 0.356289 data_time: 0.036055 memory: 4565 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.821660 2023/08/08 13:16:50 - mmengine - INFO - Epoch(train) [47][400/529] lr: 5.000000e-04 eta: 8:35:09 time: 0.356180 data_time: 0.035475 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.869828 2023/08/08 13:16:53 - mmengine - INFO - Epoch(train) [47][410/529] lr: 5.000000e-04 eta: 8:35:05 time: 0.350956 data_time: 0.031876 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.853002 2023/08/08 13:16:57 - mmengine - INFO - Epoch(train) [47][420/529] lr: 5.000000e-04 eta: 8:35:01 time: 0.352168 data_time: 0.031254 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.882374 2023/08/08 13:17:00 - mmengine - INFO - Epoch(train) [47][430/529] lr: 5.000000e-04 eta: 8:34:58 time: 0.352933 data_time: 0.031420 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.836729 2023/08/08 13:17:04 - mmengine - INFO - Epoch(train) [47][440/529] lr: 5.000000e-04 eta: 8:34:54 time: 0.352035 data_time: 0.031226 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.780590 2023/08/08 13:17:07 - mmengine - INFO - Epoch(train) [47][450/529] lr: 5.000000e-04 eta: 8:34:50 time: 0.351845 data_time: 0.031044 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.870561 2023/08/08 13:17:11 - mmengine - INFO - Epoch(train) [47][460/529] lr: 5.000000e-04 eta: 8:34:46 time: 0.351689 data_time: 0.030970 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.850027 2023/08/08 13:17:14 - mmengine - INFO - Epoch(train) [47][470/529] lr: 5.000000e-04 eta: 8:34:42 time: 0.350522 data_time: 0.030798 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.870245 2023/08/08 13:17:18 - mmengine - INFO - Epoch(train) [47][480/529] lr: 5.000000e-04 eta: 8:34:39 time: 0.354288 data_time: 0.030925 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.752683 2023/08/08 13:17:22 - mmengine - INFO - Epoch(train) [47][490/529] lr: 5.000000e-04 eta: 8:34:35 time: 0.354379 data_time: 0.030993 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.778961 2023/08/08 13:17:25 - mmengine - INFO - Epoch(train) [47][500/529] lr: 5.000000e-04 eta: 8:34:31 time: 0.354286 data_time: 0.031133 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.882588 2023/08/08 13:17:29 - mmengine - INFO - Epoch(train) [47][510/529] lr: 5.000000e-04 eta: 8:34:27 time: 0.353703 data_time: 0.031006 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.906645 2023/08/08 13:17:32 - mmengine - INFO - Epoch(train) [47][520/529] lr: 5.000000e-04 eta: 8:34:23 time: 0.353380 data_time: 0.030839 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.796161 2023/08/08 13:17:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:17:39 - mmengine - INFO - Epoch(train) [48][ 10/529] lr: 5.000000e-04 eta: 8:34:17 time: 0.351439 data_time: 0.034436 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.804728 2023/08/08 13:17:43 - mmengine - INFO - Epoch(train) [48][ 20/529] lr: 5.000000e-04 eta: 8:34:14 time: 0.356938 data_time: 0.037964 memory: 4565 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.839665 2023/08/08 13:17:46 - mmengine - INFO - Epoch(train) [48][ 30/529] lr: 5.000000e-04 eta: 8:34:10 time: 0.357468 data_time: 0.037876 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.843619 2023/08/08 13:17:50 - mmengine - INFO - Epoch(train) [48][ 40/529] lr: 5.000000e-04 eta: 8:34:06 time: 0.358467 data_time: 0.037900 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.842376 2023/08/08 13:17:53 - mmengine - INFO - Epoch(train) [48][ 50/529] lr: 5.000000e-04 eta: 8:34:02 time: 0.360099 data_time: 0.037979 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.893541 2023/08/08 13:17:57 - mmengine - INFO - Epoch(train) [48][ 60/529] lr: 5.000000e-04 eta: 8:33:59 time: 0.356822 data_time: 0.033946 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.857114 2023/08/08 13:18:00 - mmengine - INFO - Epoch(train) [48][ 70/529] lr: 5.000000e-04 eta: 8:33:55 time: 0.352236 data_time: 0.030457 memory: 4565 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.814943 2023/08/08 13:18:04 - mmengine - INFO - Epoch(train) [48][ 80/529] lr: 5.000000e-04 eta: 8:33:52 time: 0.356522 data_time: 0.031344 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.873390 2023/08/08 13:18:07 - mmengine - INFO - Epoch(train) [48][ 90/529] lr: 5.000000e-04 eta: 8:33:48 time: 0.356557 data_time: 0.031252 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.865741 2023/08/08 13:18:11 - mmengine - INFO - Epoch(train) [48][100/529] lr: 5.000000e-04 eta: 8:33:44 time: 0.357622 data_time: 0.031475 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.794178 2023/08/08 13:18:15 - mmengine - INFO - Epoch(train) [48][110/529] lr: 5.000000e-04 eta: 8:33:41 time: 0.360507 data_time: 0.031446 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.871300 2023/08/08 13:18:18 - mmengine - INFO - Epoch(train) [48][120/529] lr: 5.000000e-04 eta: 8:33:38 time: 0.362945 data_time: 0.032009 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.829243 2023/08/08 13:18:22 - mmengine - INFO - Epoch(train) [48][130/529] lr: 5.000000e-04 eta: 8:33:34 time: 0.361360 data_time: 0.032393 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.857941 2023/08/08 13:18:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:18:26 - mmengine - INFO - Epoch(train) [48][140/529] lr: 5.000000e-04 eta: 8:33:31 time: 0.361944 data_time: 0.033187 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.878027 2023/08/08 13:18:29 - mmengine - INFO - Epoch(train) [48][150/529] lr: 5.000000e-04 eta: 8:33:27 time: 0.360460 data_time: 0.033488 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.820371 2023/08/08 13:18:33 - mmengine - INFO - Epoch(train) [48][160/529] lr: 5.000000e-04 eta: 8:33:23 time: 0.357752 data_time: 0.033851 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.891309 2023/08/08 13:18:36 - mmengine - INFO - Epoch(train) [48][170/529] lr: 5.000000e-04 eta: 8:33:19 time: 0.355356 data_time: 0.033307 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.868459 2023/08/08 13:18:40 - mmengine - INFO - Epoch(train) [48][180/529] lr: 5.000000e-04 eta: 8:33:16 time: 0.355094 data_time: 0.032803 memory: 4565 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.858449 2023/08/08 13:18:44 - mmengine - INFO - Epoch(train) [48][190/529] lr: 5.000000e-04 eta: 8:33:13 time: 0.360711 data_time: 0.032310 memory: 4565 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.836231 2023/08/08 13:18:47 - mmengine - INFO - Epoch(train) [48][200/529] lr: 5.000000e-04 eta: 8:33:11 time: 0.367636 data_time: 0.035879 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.847385 2023/08/08 13:18:51 - mmengine - INFO - Epoch(train) [48][210/529] lr: 5.000000e-04 eta: 8:33:07 time: 0.366549 data_time: 0.035488 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.737006 2023/08/08 13:18:54 - mmengine - INFO - Epoch(train) [48][220/529] lr: 5.000000e-04 eta: 8:33:03 time: 0.366243 data_time: 0.035522 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.827368 2023/08/08 13:18:58 - mmengine - INFO - Epoch(train) [48][230/529] lr: 5.000000e-04 eta: 8:32:59 time: 0.364398 data_time: 0.034783 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.792682 2023/08/08 13:19:02 - mmengine - INFO - Epoch(train) [48][240/529] lr: 5.000000e-04 eta: 8:32:56 time: 0.358639 data_time: 0.034863 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.817951 2023/08/08 13:19:05 - mmengine - INFO - Epoch(train) [48][250/529] lr: 5.000000e-04 eta: 8:32:52 time: 0.352502 data_time: 0.030980 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.862702 2023/08/08 13:19:09 - mmengine - INFO - Epoch(train) [48][260/529] lr: 5.000000e-04 eta: 8:32:48 time: 0.354933 data_time: 0.031562 memory: 4565 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.810492 2023/08/08 13:19:12 - mmengine - INFO - Epoch(train) [48][270/529] lr: 5.000000e-04 eta: 8:32:45 time: 0.354826 data_time: 0.031361 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.851080 2023/08/08 13:19:16 - mmengine - INFO - Epoch(train) [48][280/529] lr: 5.000000e-04 eta: 8:32:41 time: 0.357235 data_time: 0.031532 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.869028 2023/08/08 13:19:19 - mmengine - INFO - Epoch(train) [48][290/529] lr: 5.000000e-04 eta: 8:32:37 time: 0.356590 data_time: 0.031274 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.831415 2023/08/08 13:19:23 - mmengine - INFO - Epoch(train) [48][300/529] lr: 5.000000e-04 eta: 8:32:34 time: 0.356737 data_time: 0.031468 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.851247 2023/08/08 13:19:27 - mmengine - INFO - Epoch(train) [48][310/529] lr: 5.000000e-04 eta: 8:32:30 time: 0.355886 data_time: 0.031105 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.876270 2023/08/08 13:19:30 - mmengine - INFO - Epoch(train) [48][320/529] lr: 5.000000e-04 eta: 8:32:27 time: 0.360268 data_time: 0.031414 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.844833 2023/08/08 13:19:34 - mmengine - INFO - Epoch(train) [48][330/529] lr: 5.000000e-04 eta: 8:32:25 time: 0.366408 data_time: 0.031515 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.866956 2023/08/08 13:19:38 - mmengine - INFO - Epoch(train) [48][340/529] lr: 5.000000e-04 eta: 8:32:21 time: 0.369501 data_time: 0.031907 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.847576 2023/08/08 13:19:42 - mmengine - INFO - Epoch(train) [48][350/529] lr: 5.000000e-04 eta: 8:32:18 time: 0.373345 data_time: 0.032395 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.867101 2023/08/08 13:19:45 - mmengine - INFO - Epoch(train) [48][360/529] lr: 5.000000e-04 eta: 8:32:16 time: 0.379410 data_time: 0.032329 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.801034 2023/08/08 13:19:50 - mmengine - INFO - Epoch(train) [48][370/529] lr: 5.000000e-04 eta: 8:32:14 time: 0.387465 data_time: 0.036049 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.885114 2023/08/08 13:19:53 - mmengine - INFO - Epoch(train) [48][380/529] lr: 5.000000e-04 eta: 8:32:11 time: 0.381691 data_time: 0.036114 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.861711 2023/08/08 13:19:57 - mmengine - INFO - Epoch(train) [48][390/529] lr: 5.000000e-04 eta: 8:32:07 time: 0.379368 data_time: 0.036491 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.835879 2023/08/08 13:20:00 - mmengine - INFO - Epoch(train) [48][400/529] lr: 5.000000e-04 eta: 8:32:03 time: 0.374570 data_time: 0.035942 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.876493 2023/08/08 13:20:04 - mmengine - INFO - Epoch(train) [48][410/529] lr: 5.000000e-04 eta: 8:32:00 time: 0.367408 data_time: 0.035997 memory: 4565 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.885288 2023/08/08 13:20:07 - mmengine - INFO - Epoch(train) [48][420/529] lr: 5.000000e-04 eta: 8:31:56 time: 0.355494 data_time: 0.032227 memory: 4565 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.839931 2023/08/08 13:20:11 - mmengine - INFO - Epoch(train) [48][430/529] lr: 5.000000e-04 eta: 8:31:52 time: 0.353584 data_time: 0.031975 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.845225 2023/08/08 13:20:15 - mmengine - INFO - Epoch(train) [48][440/529] lr: 5.000000e-04 eta: 8:31:49 time: 0.354549 data_time: 0.031621 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.832486 2023/08/08 13:20:18 - mmengine - INFO - Epoch(train) [48][450/529] lr: 5.000000e-04 eta: 8:31:45 time: 0.354956 data_time: 0.031355 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.901186 2023/08/08 13:20:22 - mmengine - INFO - Epoch(train) [48][460/529] lr: 5.000000e-04 eta: 8:31:42 time: 0.357223 data_time: 0.031232 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.908107 2023/08/08 13:20:25 - mmengine - INFO - Epoch(train) [48][470/529] lr: 5.000000e-04 eta: 8:31:38 time: 0.357046 data_time: 0.030953 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.901878 2023/08/08 13:20:29 - mmengine - INFO - Epoch(train) [48][480/529] lr: 5.000000e-04 eta: 8:31:34 time: 0.356448 data_time: 0.031121 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.807902 2023/08/08 13:20:32 - mmengine - INFO - Epoch(train) [48][490/529] lr: 5.000000e-04 eta: 8:31:30 time: 0.355245 data_time: 0.030776 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.895735 2023/08/08 13:20:36 - mmengine - INFO - Epoch(train) [48][500/529] lr: 5.000000e-04 eta: 8:31:27 time: 0.355152 data_time: 0.030963 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.903144 2023/08/08 13:20:39 - mmengine - INFO - Epoch(train) [48][510/529] lr: 5.000000e-04 eta: 8:31:23 time: 0.352174 data_time: 0.030687 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.811852 2023/08/08 13:20:43 - mmengine - INFO - Epoch(train) [48][520/529] lr: 5.000000e-04 eta: 8:31:19 time: 0.350927 data_time: 0.030655 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.879046 2023/08/08 13:20:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:20:50 - mmengine - INFO - Epoch(train) [49][ 10/529] lr: 5.000000e-04 eta: 8:31:12 time: 0.350548 data_time: 0.033567 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.891551 2023/08/08 13:20:53 - mmengine - INFO - Epoch(train) [49][ 20/529] lr: 5.000000e-04 eta: 8:31:08 time: 0.352620 data_time: 0.037174 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.877823 2023/08/08 13:20:57 - mmengine - INFO - Epoch(train) [49][ 30/529] lr: 5.000000e-04 eta: 8:31:05 time: 0.357189 data_time: 0.037467 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.842756 2023/08/08 13:21:00 - mmengine - INFO - Epoch(train) [49][ 40/529] lr: 5.000000e-04 eta: 8:31:01 time: 0.356259 data_time: 0.037608 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.829274 2023/08/08 13:21:04 - mmengine - INFO - Epoch(train) [49][ 50/529] lr: 5.000000e-04 eta: 8:30:57 time: 0.356732 data_time: 0.038811 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.867978 2023/08/08 13:21:07 - mmengine - INFO - Epoch(train) [49][ 60/529] lr: 5.000000e-04 eta: 8:30:53 time: 0.351682 data_time: 0.034828 memory: 4565 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.853147 2023/08/08 13:21:11 - mmengine - INFO - Epoch(train) [49][ 70/529] lr: 5.000000e-04 eta: 8:30:49 time: 0.348138 data_time: 0.031346 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.836342 2023/08/08 13:21:14 - mmengine - INFO - Epoch(train) [49][ 80/529] lr: 5.000000e-04 eta: 8:30:45 time: 0.342579 data_time: 0.031384 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.927357 2023/08/08 13:21:18 - mmengine - INFO - Epoch(train) [49][ 90/529] lr: 5.000000e-04 eta: 8:30:41 time: 0.346325 data_time: 0.031522 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.873331 2023/08/08 13:21:21 - mmengine - INFO - Epoch(train) [49][100/529] lr: 5.000000e-04 eta: 8:30:37 time: 0.346394 data_time: 0.031092 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.856869 2023/08/08 13:21:24 - mmengine - INFO - Epoch(train) [49][110/529] lr: 5.000000e-04 eta: 8:30:33 time: 0.346780 data_time: 0.030905 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.838447 2023/08/08 13:21:28 - mmengine - INFO - Epoch(train) [49][120/529] lr: 5.000000e-04 eta: 8:30:29 time: 0.345636 data_time: 0.030585 memory: 4565 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.815114 2023/08/08 13:21:31 - mmengine - INFO - Epoch(train) [49][130/529] lr: 5.000000e-04 eta: 8:30:25 time: 0.347438 data_time: 0.030945 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.852054 2023/08/08 13:21:35 - mmengine - INFO - Epoch(train) [49][140/529] lr: 5.000000e-04 eta: 8:30:21 time: 0.344449 data_time: 0.031098 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.852895 2023/08/08 13:21:38 - mmengine - INFO - Epoch(train) [49][150/529] lr: 5.000000e-04 eta: 8:30:17 time: 0.346113 data_time: 0.031352 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.814481 2023/08/08 13:21:42 - mmengine - INFO - Epoch(train) [49][160/529] lr: 5.000000e-04 eta: 8:30:13 time: 0.345831 data_time: 0.031320 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.860283 2023/08/08 13:21:45 - mmengine - INFO - Epoch(train) [49][170/529] lr: 5.000000e-04 eta: 8:30:09 time: 0.346317 data_time: 0.031392 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.794451 2023/08/08 13:21:49 - mmengine - INFO - Epoch(train) [49][180/529] lr: 5.000000e-04 eta: 8:30:05 time: 0.345871 data_time: 0.030745 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.871584 2023/08/08 13:21:52 - mmengine - INFO - Epoch(train) [49][190/529] lr: 5.000000e-04 eta: 8:30:02 time: 0.348474 data_time: 0.033823 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.900861 2023/08/08 13:21:56 - mmengine - INFO - Epoch(train) [49][200/529] lr: 5.000000e-04 eta: 8:29:57 time: 0.347327 data_time: 0.034140 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.819644 2023/08/08 13:21:59 - mmengine - INFO - Epoch(train) [49][210/529] lr: 5.000000e-04 eta: 8:29:54 time: 0.349185 data_time: 0.034622 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.830661 2023/08/08 13:22:03 - mmengine - INFO - Epoch(train) [49][220/529] lr: 5.000000e-04 eta: 8:29:50 time: 0.349972 data_time: 0.034739 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.841036 2023/08/08 13:22:06 - mmengine - INFO - Epoch(train) [49][230/529] lr: 5.000000e-04 eta: 8:29:46 time: 0.349266 data_time: 0.034809 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.890447 2023/08/08 13:22:10 - mmengine - INFO - Epoch(train) [49][240/529] lr: 5.000000e-04 eta: 8:29:42 time: 0.349285 data_time: 0.031448 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.774579 2023/08/08 13:22:13 - mmengine - INFO - Epoch(train) [49][250/529] lr: 5.000000e-04 eta: 8:29:38 time: 0.349309 data_time: 0.030997 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.856236 2023/08/08 13:22:17 - mmengine - INFO - Epoch(train) [49][260/529] lr: 5.000000e-04 eta: 8:29:34 time: 0.347891 data_time: 0.030629 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.834235 2023/08/08 13:22:20 - mmengine - INFO - Epoch(train) [49][270/529] lr: 5.000000e-04 eta: 8:29:30 time: 0.348854 data_time: 0.030701 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.883185 2023/08/08 13:22:24 - mmengine - INFO - Epoch(train) [49][280/529] lr: 5.000000e-04 eta: 8:29:26 time: 0.348448 data_time: 0.031302 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.860950 2023/08/08 13:22:27 - mmengine - INFO - Epoch(train) [49][290/529] lr: 5.000000e-04 eta: 8:29:22 time: 0.346280 data_time: 0.031696 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.897666 2023/08/08 13:22:30 - mmengine - INFO - Epoch(train) [49][300/529] lr: 5.000000e-04 eta: 8:29:18 time: 0.345394 data_time: 0.031707 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.848517 2023/08/08 13:22:34 - mmengine - INFO - Epoch(train) [49][310/529] lr: 5.000000e-04 eta: 8:29:14 time: 0.344501 data_time: 0.031761 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.839381 2023/08/08 13:22:37 - mmengine - INFO - Epoch(train) [49][320/529] lr: 5.000000e-04 eta: 8:29:10 time: 0.342722 data_time: 0.031541 memory: 4565 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.872286 2023/08/08 13:22:41 - mmengine - INFO - Epoch(train) [49][330/529] lr: 5.000000e-04 eta: 8:29:06 time: 0.342437 data_time: 0.031219 memory: 4565 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.871367 2023/08/08 13:22:44 - mmengine - INFO - Epoch(train) [49][340/529] lr: 5.000000e-04 eta: 8:29:02 time: 0.342593 data_time: 0.031082 memory: 4565 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.899129 2023/08/08 13:22:48 - mmengine - INFO - Epoch(train) [49][350/529] lr: 5.000000e-04 eta: 8:28:58 time: 0.343445 data_time: 0.031500 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.887761 2023/08/08 13:22:51 - mmengine - INFO - Epoch(train) [49][360/529] lr: 5.000000e-04 eta: 8:28:55 time: 0.348286 data_time: 0.032009 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.843291 2023/08/08 13:22:55 - mmengine - INFO - Epoch(train) [49][370/529] lr: 5.000000e-04 eta: 8:28:51 time: 0.349808 data_time: 0.032879 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.855951 2023/08/08 13:22:58 - mmengine - INFO - Epoch(train) [49][380/529] lr: 5.000000e-04 eta: 8:28:47 time: 0.351766 data_time: 0.032693 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.835510 2023/08/08 13:23:02 - mmengine - INFO - Epoch(train) [49][390/529] lr: 5.000000e-04 eta: 8:28:44 time: 0.354722 data_time: 0.032431 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.849357 2023/08/08 13:23:06 - mmengine - INFO - Epoch(train) [49][400/529] lr: 5.000000e-04 eta: 8:28:41 time: 0.362402 data_time: 0.032682 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.847283 2023/08/08 13:23:10 - mmengine - INFO - Epoch(train) [49][410/529] lr: 5.000000e-04 eta: 8:28:38 time: 0.367345 data_time: 0.032449 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.841261 2023/08/08 13:23:13 - mmengine - INFO - Epoch(train) [49][420/529] lr: 5.000000e-04 eta: 8:28:35 time: 0.369667 data_time: 0.032108 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.919930 2023/08/08 13:23:17 - mmengine - INFO - Epoch(train) [49][430/529] lr: 5.000000e-04 eta: 8:28:31 time: 0.371331 data_time: 0.032261 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.834754 2023/08/08 13:23:21 - mmengine - INFO - Epoch(train) [49][440/529] lr: 5.000000e-04 eta: 8:28:28 time: 0.373364 data_time: 0.032710 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.896723 2023/08/08 13:23:24 - mmengine - INFO - Epoch(train) [49][450/529] lr: 5.000000e-04 eta: 8:28:24 time: 0.367168 data_time: 0.032452 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.793147 2023/08/08 13:23:28 - mmengine - INFO - Epoch(train) [49][460/529] lr: 5.000000e-04 eta: 8:28:21 time: 0.361103 data_time: 0.032240 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.893109 2023/08/08 13:23:31 - mmengine - INFO - Epoch(train) [49][470/529] lr: 5.000000e-04 eta: 8:28:17 time: 0.359676 data_time: 0.031732 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.873453 2023/08/08 13:23:35 - mmengine - INFO - Epoch(train) [49][480/529] lr: 5.000000e-04 eta: 8:28:13 time: 0.357975 data_time: 0.031586 memory: 4565 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.814564 2023/08/08 13:23:38 - mmengine - INFO - Epoch(train) [49][490/529] lr: 5.000000e-04 eta: 8:28:10 time: 0.353247 data_time: 0.031066 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.836907 2023/08/08 13:23:42 - mmengine - INFO - Epoch(train) [49][500/529] lr: 5.000000e-04 eta: 8:28:06 time: 0.353656 data_time: 0.030974 memory: 4565 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.832685 2023/08/08 13:23:45 - mmengine - INFO - Epoch(train) [49][510/529] lr: 5.000000e-04 eta: 8:28:02 time: 0.352865 data_time: 0.030865 memory: 4565 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.870344 2023/08/08 13:23:49 - mmengine - INFO - Epoch(train) [49][520/529] lr: 5.000000e-04 eta: 8:27:59 time: 0.353325 data_time: 0.031123 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.809981 2023/08/08 13:23:52 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:23:56 - mmengine - INFO - Epoch(train) [50][ 10/529] lr: 5.000000e-04 eta: 8:27:52 time: 0.356914 data_time: 0.035144 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.844480 2023/08/08 13:23:59 - mmengine - INFO - Epoch(train) [50][ 20/529] lr: 5.000000e-04 eta: 8:27:48 time: 0.355171 data_time: 0.035347 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.863111 2023/08/08 13:24:03 - mmengine - INFO - Epoch(train) [50][ 30/529] lr: 5.000000e-04 eta: 8:27:44 time: 0.355679 data_time: 0.035300 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.879268 2023/08/08 13:24:06 - mmengine - INFO - Epoch(train) [50][ 40/529] lr: 5.000000e-04 eta: 8:27:40 time: 0.353915 data_time: 0.035186 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.831139 2023/08/08 13:24:10 - mmengine - INFO - Epoch(train) [50][ 50/529] lr: 5.000000e-04 eta: 8:27:36 time: 0.354838 data_time: 0.035463 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.785951 2023/08/08 13:24:13 - mmengine - INFO - Epoch(train) [50][ 60/529] lr: 5.000000e-04 eta: 8:27:33 time: 0.350829 data_time: 0.031869 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.892302 2023/08/08 13:24:17 - mmengine - INFO - Epoch(train) [50][ 70/529] lr: 5.000000e-04 eta: 8:27:29 time: 0.350214 data_time: 0.031515 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.851336 2023/08/08 13:24:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:24:20 - mmengine - INFO - Epoch(train) [50][ 80/529] lr: 5.000000e-04 eta: 8:27:25 time: 0.346635 data_time: 0.031177 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.745237 2023/08/08 13:24:24 - mmengine - INFO - Epoch(train) [50][ 90/529] lr: 5.000000e-04 eta: 8:27:21 time: 0.345991 data_time: 0.031122 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.773769 2023/08/08 13:24:27 - mmengine - INFO - Epoch(train) [50][100/529] lr: 5.000000e-04 eta: 8:27:16 time: 0.344534 data_time: 0.030906 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.890542 2023/08/08 13:24:30 - mmengine - INFO - Epoch(train) [50][110/529] lr: 5.000000e-04 eta: 8:27:12 time: 0.342273 data_time: 0.030576 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.861790 2023/08/08 13:24:34 - mmengine - INFO - Epoch(train) [50][120/529] lr: 5.000000e-04 eta: 8:27:09 time: 0.343920 data_time: 0.030674 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.845173 2023/08/08 13:24:37 - mmengine - INFO - Epoch(train) [50][130/529] lr: 5.000000e-04 eta: 8:27:05 time: 0.345847 data_time: 0.031325 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.893041 2023/08/08 13:24:41 - mmengine - INFO - Epoch(train) [50][140/529] lr: 5.000000e-04 eta: 8:27:01 time: 0.346098 data_time: 0.031452 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.860554 2023/08/08 13:24:44 - mmengine - INFO - Epoch(train) [50][150/529] lr: 5.000000e-04 eta: 8:26:57 time: 0.345910 data_time: 0.031366 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.902034 2023/08/08 13:24:48 - mmengine - INFO - Epoch(train) [50][160/529] lr: 5.000000e-04 eta: 8:26:53 time: 0.347630 data_time: 0.031109 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.831122 2023/08/08 13:24:51 - mmengine - INFO - Epoch(train) [50][170/529] lr: 5.000000e-04 eta: 8:26:49 time: 0.349860 data_time: 0.031356 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.869371 2023/08/08 13:24:55 - mmengine - INFO - Epoch(train) [50][180/529] lr: 5.000000e-04 eta: 8:26:47 time: 0.358625 data_time: 0.031390 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.871331 2023/08/08 13:24:59 - mmengine - INFO - Epoch(train) [50][190/529] lr: 5.000000e-04 eta: 8:26:45 time: 0.369725 data_time: 0.031755 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.811457 2023/08/08 13:25:03 - mmengine - INFO - Epoch(train) [50][200/529] lr: 5.000000e-04 eta: 8:26:41 time: 0.369964 data_time: 0.031824 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.901404 2023/08/08 13:25:06 - mmengine - INFO - Epoch(train) [50][210/529] lr: 5.000000e-04 eta: 8:26:37 time: 0.367264 data_time: 0.031732 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.886332 2023/08/08 13:25:10 - mmengine - INFO - Epoch(train) [50][220/529] lr: 5.000000e-04 eta: 8:26:33 time: 0.364015 data_time: 0.031426 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.858812 2023/08/08 13:25:13 - mmengine - INFO - Epoch(train) [50][230/529] lr: 5.000000e-04 eta: 8:26:29 time: 0.353985 data_time: 0.030829 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.883332 2023/08/08 13:25:17 - mmengine - INFO - Epoch(train) [50][240/529] lr: 5.000000e-04 eta: 8:26:25 time: 0.344184 data_time: 0.030385 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.885803 2023/08/08 13:25:20 - mmengine - INFO - Epoch(train) [50][250/529] lr: 5.000000e-04 eta: 8:26:21 time: 0.345810 data_time: 0.030676 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.800707 2023/08/08 13:25:24 - mmengine - INFO - Epoch(train) [50][260/529] lr: 5.000000e-04 eta: 8:26:17 time: 0.346390 data_time: 0.030860 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.838170 2023/08/08 13:25:27 - mmengine - INFO - Epoch(train) [50][270/529] lr: 5.000000e-04 eta: 8:26:13 time: 0.345976 data_time: 0.030840 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.898079 2023/08/08 13:25:30 - mmengine - INFO - Epoch(train) [50][280/529] lr: 5.000000e-04 eta: 8:26:09 time: 0.346202 data_time: 0.030956 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.900998 2023/08/08 13:25:34 - mmengine - INFO - Epoch(train) [50][290/529] lr: 5.000000e-04 eta: 8:26:05 time: 0.344259 data_time: 0.030833 memory: 4565 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.797537 2023/08/08 13:25:37 - mmengine - INFO - Epoch(train) [50][300/529] lr: 5.000000e-04 eta: 8:26:01 time: 0.346094 data_time: 0.030623 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.835612 2023/08/08 13:25:41 - mmengine - INFO - Epoch(train) [50][310/529] lr: 5.000000e-04 eta: 8:25:57 time: 0.346813 data_time: 0.031533 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.837667 2023/08/08 13:25:45 - mmengine - INFO - Epoch(train) [50][320/529] lr: 5.000000e-04 eta: 8:25:54 time: 0.355398 data_time: 0.031742 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.831203 2023/08/08 13:25:49 - mmengine - INFO - Epoch(train) [50][330/529] lr: 5.000000e-04 eta: 8:25:52 time: 0.363596 data_time: 0.032016 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.765945 2023/08/08 13:25:52 - mmengine - INFO - Epoch(train) [50][340/529] lr: 5.000000e-04 eta: 8:25:49 time: 0.372528 data_time: 0.032344 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.738706 2023/08/08 13:25:56 - mmengine - INFO - Epoch(train) [50][350/529] lr: 5.000000e-04 eta: 8:25:46 time: 0.378194 data_time: 0.032490 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.865707 2023/08/08 13:26:00 - mmengine - INFO - Epoch(train) [50][360/529] lr: 5.000000e-04 eta: 8:25:44 time: 0.385085 data_time: 0.031917 memory: 4565 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.814465 2023/08/08 13:26:04 - mmengine - INFO - Epoch(train) [50][370/529] lr: 5.000000e-04 eta: 8:25:41 time: 0.386266 data_time: 0.032059 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.811991 2023/08/08 13:26:08 - mmengine - INFO - Epoch(train) [50][380/529] lr: 5.000000e-04 eta: 8:25:38 time: 0.383436 data_time: 0.032294 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.813199 2023/08/08 13:26:11 - mmengine - INFO - Epoch(train) [50][390/529] lr: 5.000000e-04 eta: 8:25:35 time: 0.380516 data_time: 0.035563 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.900750 2023/08/08 13:26:15 - mmengine - INFO - Epoch(train) [50][400/529] lr: 5.000000e-04 eta: 8:25:31 time: 0.374579 data_time: 0.035640 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.829271 2023/08/08 13:26:19 - mmengine - INFO - Epoch(train) [50][410/529] lr: 5.000000e-04 eta: 8:25:27 time: 0.367838 data_time: 0.035207 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.888944 2023/08/08 13:26:22 - mmengine - INFO - Epoch(train) [50][420/529] lr: 5.000000e-04 eta: 8:25:24 time: 0.360792 data_time: 0.034987 memory: 4565 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.833228 2023/08/08 13:26:26 - mmengine - INFO - Epoch(train) [50][430/529] lr: 5.000000e-04 eta: 8:25:20 time: 0.356518 data_time: 0.034487 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.857575 2023/08/08 13:26:29 - mmengine - INFO - Epoch(train) [50][440/529] lr: 5.000000e-04 eta: 8:25:16 time: 0.354240 data_time: 0.030982 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.841323 2023/08/08 13:26:33 - mmengine - INFO - Epoch(train) [50][450/529] lr: 5.000000e-04 eta: 8:25:13 time: 0.355417 data_time: 0.031057 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.903466 2023/08/08 13:26:36 - mmengine - INFO - Epoch(train) [50][460/529] lr: 5.000000e-04 eta: 8:25:09 time: 0.355093 data_time: 0.031442 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.868640 2023/08/08 13:26:40 - mmengine - INFO - Epoch(train) [50][470/529] lr: 5.000000e-04 eta: 8:25:05 time: 0.354329 data_time: 0.031758 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.908148 2023/08/08 13:26:44 - mmengine - INFO - Epoch(train) [50][480/529] lr: 5.000000e-04 eta: 8:25:02 time: 0.358508 data_time: 0.032587 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.808105 2023/08/08 13:26:47 - mmengine - INFO - Epoch(train) [50][490/529] lr: 5.000000e-04 eta: 8:24:59 time: 0.359785 data_time: 0.032845 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.848677 2023/08/08 13:26:51 - mmengine - INFO - Epoch(train) [50][500/529] lr: 5.000000e-04 eta: 8:24:55 time: 0.358242 data_time: 0.032911 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.880669 2023/08/08 13:26:54 - mmengine - INFO - Epoch(train) [50][510/529] lr: 5.000000e-04 eta: 8:24:52 time: 0.360306 data_time: 0.033103 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.846869 2023/08/08 13:26:58 - mmengine - INFO - Epoch(train) [50][520/529] lr: 5.000000e-04 eta: 8:24:48 time: 0.361518 data_time: 0.033051 memory: 4565 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.836513 2023/08/08 13:27:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:27:01 - mmengine - INFO - Saving checkpoint at 50 epochs 2023/08/08 13:27:07 - mmengine - INFO - Epoch(val) [50][ 10/127] eta: 0:00:24 time: 0.197460 data_time: 0.012986 memory: 4565 2023/08/08 13:27:09 - mmengine - INFO - Epoch(val) [50][ 20/127] eta: 0:00:21 time: 0.197614 data_time: 0.013003 memory: 1634 2023/08/08 13:27:11 - mmengine - INFO - Epoch(val) [50][ 30/127] eta: 0:00:19 time: 0.197545 data_time: 0.012924 memory: 1634 2023/08/08 13:27:13 - mmengine - INFO - Epoch(val) [50][ 40/127] eta: 0:00:17 time: 0.197603 data_time: 0.012887 memory: 1634 2023/08/08 13:27:15 - mmengine - INFO - Epoch(val) [50][ 50/127] eta: 0:00:15 time: 0.199721 data_time: 0.012909 memory: 1634 2023/08/08 13:27:17 - mmengine - INFO - Epoch(val) [50][ 60/127] eta: 0:00:13 time: 0.197640 data_time: 0.011067 memory: 1634 2023/08/08 13:27:19 - mmengine - INFO - Epoch(val) [50][ 70/127] eta: 0:00:11 time: 0.197435 data_time: 0.010922 memory: 1634 2023/08/08 13:27:21 - mmengine - INFO - Epoch(val) [50][ 80/127] eta: 0:00:09 time: 0.197531 data_time: 0.010987 memory: 1634 2023/08/08 13:27:23 - mmengine - INFO - Epoch(val) [50][ 90/127] eta: 0:00:07 time: 0.197517 data_time: 0.010998 memory: 1634 2023/08/08 13:27:25 - mmengine - INFO - Epoch(val) [50][100/127] eta: 0:00:05 time: 0.197090 data_time: 0.010885 memory: 1634 2023/08/08 13:27:26 - mmengine - INFO - Epoch(val) [50][110/127] eta: 0:00:03 time: 0.196710 data_time: 0.010765 memory: 1634 2023/08/08 13:27:28 - mmengine - INFO - Epoch(val) [50][120/127] eta: 0:00:01 time: 0.196614 data_time: 0.010733 memory: 1634 2023/08/08 13:27:30 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 13:27:30 - mmengine - INFO - Evaluating AUC... 2023/08/08 13:27:31 - mmengine - INFO - Evaluating EPE... 2023/08/08 13:27:31 - mmengine - INFO - Epoch(val) [50][127/127] PCK: 0.981679 AUC: 0.669443 EPE: 11.950271 data_time: 0.011574 time: 0.196540 2023/08/08 13:27:31 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_40.pth is removed 2023/08/08 13:27:33 - mmengine - INFO - The best checkpoint with 0.6694 AUC at 50 epoch is saved to best_AUC_epoch_50.pth. 2023/08/08 13:27:41 - mmengine - INFO - Epoch(train) [51][ 10/529] lr: 5.000000e-04 eta: 8:24:42 time: 0.359973 data_time: 0.036498 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.895138 2023/08/08 13:27:44 - mmengine - INFO - Epoch(train) [51][ 20/529] lr: 5.000000e-04 eta: 8:24:38 time: 0.358306 data_time: 0.036082 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.847499 2023/08/08 13:27:47 - mmengine - INFO - Epoch(train) [51][ 30/529] lr: 5.000000e-04 eta: 8:24:34 time: 0.355210 data_time: 0.035403 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.833152 2023/08/08 13:27:51 - mmengine - INFO - Epoch(train) [51][ 40/529] lr: 5.000000e-04 eta: 8:24:30 time: 0.354113 data_time: 0.035017 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.808154 2023/08/08 13:27:54 - mmengine - INFO - Epoch(train) [51][ 50/529] lr: 5.000000e-04 eta: 8:24:26 time: 0.354658 data_time: 0.034849 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.903058 2023/08/08 13:27:58 - mmengine - INFO - Epoch(train) [51][ 60/529] lr: 5.000000e-04 eta: 8:24:22 time: 0.348505 data_time: 0.030711 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.807486 2023/08/08 13:28:02 - mmengine - INFO - Epoch(train) [51][ 70/529] lr: 5.000000e-04 eta: 8:24:19 time: 0.351855 data_time: 0.031022 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.825428 2023/08/08 13:28:05 - mmengine - INFO - Epoch(train) [51][ 80/529] lr: 5.000000e-04 eta: 8:24:15 time: 0.352026 data_time: 0.031430 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.818049 2023/08/08 13:28:09 - mmengine - INFO - Epoch(train) [51][ 90/529] lr: 5.000000e-04 eta: 8:24:11 time: 0.351518 data_time: 0.031390 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.901857 2023/08/08 13:28:12 - mmengine - INFO - Epoch(train) [51][100/529] lr: 5.000000e-04 eta: 8:24:07 time: 0.349131 data_time: 0.031259 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.812091 2023/08/08 13:28:15 - mmengine - INFO - Epoch(train) [51][110/529] lr: 5.000000e-04 eta: 8:24:03 time: 0.348038 data_time: 0.031316 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.859767 2023/08/08 13:28:19 - mmengine - INFO - Epoch(train) [51][120/529] lr: 5.000000e-04 eta: 8:23:59 time: 0.345100 data_time: 0.030967 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.870574 2023/08/08 13:28:22 - mmengine - INFO - Epoch(train) [51][130/529] lr: 5.000000e-04 eta: 8:23:55 time: 0.346729 data_time: 0.030757 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.838585 2023/08/08 13:28:26 - mmengine - INFO - Epoch(train) [51][140/529] lr: 5.000000e-04 eta: 8:23:52 time: 0.351758 data_time: 0.031112 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.903015 2023/08/08 13:28:30 - mmengine - INFO - Epoch(train) [51][150/529] lr: 5.000000e-04 eta: 8:23:48 time: 0.353058 data_time: 0.032129 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.895164 2023/08/08 13:28:33 - mmengine - INFO - Epoch(train) [51][160/529] lr: 5.000000e-04 eta: 8:23:44 time: 0.352383 data_time: 0.031973 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.864410 2023/08/08 13:28:37 - mmengine - INFO - Epoch(train) [51][170/529] lr: 5.000000e-04 eta: 8:23:41 time: 0.357640 data_time: 0.035601 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.835301 2023/08/08 13:28:40 - mmengine - INFO - Epoch(train) [51][180/529] lr: 5.000000e-04 eta: 8:23:37 time: 0.357620 data_time: 0.035486 memory: 4565 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.830258 2023/08/08 13:28:44 - mmengine - INFO - Epoch(train) [51][190/529] lr: 5.000000e-04 eta: 8:23:33 time: 0.353217 data_time: 0.035139 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.839452 2023/08/08 13:28:47 - mmengine - INFO - Epoch(train) [51][200/529] lr: 5.000000e-04 eta: 8:23:30 time: 0.356093 data_time: 0.034720 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.888606 2023/08/08 13:28:51 - mmengine - INFO - Epoch(train) [51][210/529] lr: 5.000000e-04 eta: 8:23:26 time: 0.354927 data_time: 0.034544 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.890078 2023/08/08 13:28:54 - mmengine - INFO - Epoch(train) [51][220/529] lr: 5.000000e-04 eta: 8:23:22 time: 0.348362 data_time: 0.030888 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.784520 2023/08/08 13:28:58 - mmengine - INFO - Epoch(train) [51][230/529] lr: 5.000000e-04 eta: 8:23:18 time: 0.345800 data_time: 0.030953 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.779041 2023/08/08 13:29:01 - mmengine - INFO - Epoch(train) [51][240/529] lr: 5.000000e-04 eta: 8:23:14 time: 0.345078 data_time: 0.031185 memory: 4565 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.816618 2023/08/08 13:29:05 - mmengine - INFO - Epoch(train) [51][250/529] lr: 5.000000e-04 eta: 8:23:10 time: 0.343057 data_time: 0.031043 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.859201 2023/08/08 13:29:08 - mmengine - INFO - Epoch(train) [51][260/529] lr: 5.000000e-04 eta: 8:23:06 time: 0.344362 data_time: 0.031237 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.875291 2023/08/08 13:29:12 - mmengine - INFO - Epoch(train) [51][270/529] lr: 5.000000e-04 eta: 8:23:02 time: 0.346106 data_time: 0.031423 memory: 4565 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.790193 2023/08/08 13:29:15 - mmengine - INFO - Epoch(train) [51][280/529] lr: 5.000000e-04 eta: 8:22:58 time: 0.347302 data_time: 0.031295 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.861850 2023/08/08 13:29:18 - mmengine - INFO - Epoch(train) [51][290/529] lr: 5.000000e-04 eta: 8:22:54 time: 0.347546 data_time: 0.031245 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.807475 2023/08/08 13:29:22 - mmengine - INFO - Epoch(train) [51][300/529] lr: 5.000000e-04 eta: 8:22:50 time: 0.346160 data_time: 0.030677 memory: 4565 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.830939 2023/08/08 13:29:26 - mmengine - INFO - Epoch(train) [51][310/529] lr: 5.000000e-04 eta: 8:22:47 time: 0.352703 data_time: 0.030872 memory: 4565 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.768959 2023/08/08 13:29:29 - mmengine - INFO - Epoch(train) [51][320/529] lr: 5.000000e-04 eta: 8:22:43 time: 0.352209 data_time: 0.031173 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.838868 2023/08/08 13:29:33 - mmengine - INFO - Epoch(train) [51][330/529] lr: 5.000000e-04 eta: 8:22:40 time: 0.353711 data_time: 0.031449 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.866680 2023/08/08 13:29:36 - mmengine - INFO - Epoch(train) [51][340/529] lr: 5.000000e-04 eta: 8:22:35 time: 0.353206 data_time: 0.031220 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.835998 2023/08/08 13:29:40 - mmengine - INFO - Epoch(train) [51][350/529] lr: 5.000000e-04 eta: 8:22:31 time: 0.352680 data_time: 0.031240 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.851952 2023/08/08 13:29:43 - mmengine - INFO - Epoch(train) [51][360/529] lr: 5.000000e-04 eta: 8:22:28 time: 0.347900 data_time: 0.030843 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.875704 2023/08/08 13:29:47 - mmengine - INFO - Epoch(train) [51][370/529] lr: 5.000000e-04 eta: 8:22:24 time: 0.350456 data_time: 0.030426 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.859116 2023/08/08 13:29:50 - mmengine - INFO - Epoch(train) [51][380/529] lr: 5.000000e-04 eta: 8:22:20 time: 0.349250 data_time: 0.030636 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.837152 2023/08/08 13:29:54 - mmengine - INFO - Epoch(train) [51][390/529] lr: 5.000000e-04 eta: 8:22:16 time: 0.350983 data_time: 0.030943 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.859159 2023/08/08 13:29:57 - mmengine - INFO - Epoch(train) [51][400/529] lr: 5.000000e-04 eta: 8:22:13 time: 0.353359 data_time: 0.031031 memory: 4565 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.889068 2023/08/08 13:30:01 - mmengine - INFO - Epoch(train) [51][410/529] lr: 5.000000e-04 eta: 8:22:09 time: 0.352408 data_time: 0.031326 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.900959 2023/08/08 13:30:04 - mmengine - INFO - Epoch(train) [51][420/529] lr: 5.000000e-04 eta: 8:22:05 time: 0.349826 data_time: 0.031280 memory: 4565 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.910826 2023/08/08 13:30:08 - mmengine - INFO - Epoch(train) [51][430/529] lr: 5.000000e-04 eta: 8:22:01 time: 0.349782 data_time: 0.030766 memory: 4565 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.878340 2023/08/08 13:30:11 - mmengine - INFO - Epoch(train) [51][440/529] lr: 5.000000e-04 eta: 8:21:58 time: 0.350900 data_time: 0.030525 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.802108 2023/08/08 13:30:15 - mmengine - INFO - Epoch(train) [51][450/529] lr: 5.000000e-04 eta: 8:21:54 time: 0.349536 data_time: 0.030366 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.866148 2023/08/08 13:30:18 - mmengine - INFO - Epoch(train) [51][460/529] lr: 5.000000e-04 eta: 8:21:50 time: 0.350728 data_time: 0.030597 memory: 4565 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.867876 2023/08/08 13:30:22 - mmengine - INFO - Epoch(train) [51][470/529] lr: 5.000000e-04 eta: 8:21:46 time: 0.350835 data_time: 0.030877 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.826050 2023/08/08 13:30:25 - mmengine - INFO - Epoch(train) [51][480/529] lr: 5.000000e-04 eta: 8:21:42 time: 0.351627 data_time: 0.031256 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.898350 2023/08/08 13:30:29 - mmengine - INFO - Epoch(train) [51][490/529] lr: 5.000000e-04 eta: 8:21:38 time: 0.350089 data_time: 0.031433 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.813628 2023/08/08 13:30:32 - mmengine - INFO - Epoch(train) [51][500/529] lr: 5.000000e-04 eta: 8:21:35 time: 0.350573 data_time: 0.031853 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.883137 2023/08/08 13:30:36 - mmengine - INFO - Epoch(train) [51][510/529] lr: 5.000000e-04 eta: 8:21:31 time: 0.350427 data_time: 0.031720 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.842038 2023/08/08 13:30:39 - mmengine - INFO - Epoch(train) [51][520/529] lr: 5.000000e-04 eta: 8:21:27 time: 0.351884 data_time: 0.031479 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.863006 2023/08/08 13:30:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:30:46 - mmengine - INFO - Epoch(train) [52][ 10/529] lr: 5.000000e-04 eta: 8:21:21 time: 0.359571 data_time: 0.034923 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.891767 2023/08/08 13:30:50 - mmengine - INFO - Epoch(train) [52][ 20/529] lr: 5.000000e-04 eta: 8:21:17 time: 0.360175 data_time: 0.034508 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.824693 2023/08/08 13:30:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:30:53 - mmengine - INFO - Epoch(train) [52][ 30/529] lr: 5.000000e-04 eta: 8:21:14 time: 0.360130 data_time: 0.034383 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.797281 2023/08/08 13:30:57 - mmengine - INFO - Epoch(train) [52][ 40/529] lr: 5.000000e-04 eta: 8:21:10 time: 0.360898 data_time: 0.034511 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.908452 2023/08/08 13:31:01 - mmengine - INFO - Epoch(train) [52][ 50/529] lr: 5.000000e-04 eta: 8:21:07 time: 0.361853 data_time: 0.035211 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.846825 2023/08/08 13:31:04 - mmengine - INFO - Epoch(train) [52][ 60/529] lr: 5.000000e-04 eta: 8:21:03 time: 0.356585 data_time: 0.031685 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.869841 2023/08/08 13:31:08 - mmengine - INFO - Epoch(train) [52][ 70/529] lr: 5.000000e-04 eta: 8:21:00 time: 0.359758 data_time: 0.035330 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.845197 2023/08/08 13:31:11 - mmengine - INFO - Epoch(train) [52][ 80/529] lr: 5.000000e-04 eta: 8:20:56 time: 0.358319 data_time: 0.034949 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.861788 2023/08/08 13:31:15 - mmengine - INFO - Epoch(train) [52][ 90/529] lr: 5.000000e-04 eta: 8:20:52 time: 0.356992 data_time: 0.034872 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.823545 2023/08/08 13:31:18 - mmengine - INFO - Epoch(train) [52][100/529] lr: 5.000000e-04 eta: 8:20:49 time: 0.356084 data_time: 0.034251 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.813043 2023/08/08 13:31:22 - mmengine - INFO - Epoch(train) [52][110/529] lr: 5.000000e-04 eta: 8:20:45 time: 0.355761 data_time: 0.034646 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.777596 2023/08/08 13:31:26 - mmengine - INFO - Epoch(train) [52][120/529] lr: 5.000000e-04 eta: 8:20:42 time: 0.355531 data_time: 0.032187 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.883190 2023/08/08 13:31:29 - mmengine - INFO - Epoch(train) [52][130/529] lr: 5.000000e-04 eta: 8:20:39 time: 0.360064 data_time: 0.035880 memory: 4565 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.861225 2023/08/08 13:31:33 - mmengine - INFO - Epoch(train) [52][140/529] lr: 5.000000e-04 eta: 8:20:35 time: 0.359690 data_time: 0.035823 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.854816 2023/08/08 13:31:36 - mmengine - INFO - Epoch(train) [52][150/529] lr: 5.000000e-04 eta: 8:20:31 time: 0.359085 data_time: 0.035969 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.872080 2023/08/08 13:31:40 - mmengine - INFO - Epoch(train) [52][160/529] lr: 5.000000e-04 eta: 8:20:27 time: 0.358447 data_time: 0.035101 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.823552 2023/08/08 13:31:43 - mmengine - INFO - Epoch(train) [52][170/529] lr: 5.000000e-04 eta: 8:20:24 time: 0.355635 data_time: 0.034408 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.852108 2023/08/08 13:31:47 - mmengine - INFO - Epoch(train) [52][180/529] lr: 5.000000e-04 eta: 8:20:20 time: 0.353516 data_time: 0.031105 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.835626 2023/08/08 13:31:51 - mmengine - INFO - Epoch(train) [52][190/529] lr: 5.000000e-04 eta: 8:20:17 time: 0.358405 data_time: 0.031958 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.871049 2023/08/08 13:31:54 - mmengine - INFO - Epoch(train) [52][200/529] lr: 5.000000e-04 eta: 8:20:13 time: 0.359407 data_time: 0.032713 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.779774 2023/08/08 13:31:58 - mmengine - INFO - Epoch(train) [52][210/529] lr: 5.000000e-04 eta: 8:20:09 time: 0.358342 data_time: 0.032694 memory: 4565 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.795305 2023/08/08 13:32:01 - mmengine - INFO - Epoch(train) [52][220/529] lr: 5.000000e-04 eta: 8:20:06 time: 0.357550 data_time: 0.032113 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.858997 2023/08/08 13:32:05 - mmengine - INFO - Epoch(train) [52][230/529] lr: 5.000000e-04 eta: 8:20:02 time: 0.356222 data_time: 0.032129 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.862813 2023/08/08 13:32:08 - mmengine - INFO - Epoch(train) [52][240/529] lr: 5.000000e-04 eta: 8:19:58 time: 0.352595 data_time: 0.031467 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.884399 2023/08/08 13:32:12 - mmengine - INFO - Epoch(train) [52][250/529] lr: 5.000000e-04 eta: 8:19:55 time: 0.357340 data_time: 0.031200 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.881519 2023/08/08 13:32:16 - mmengine - INFO - Epoch(train) [52][260/529] lr: 5.000000e-04 eta: 8:19:52 time: 0.358359 data_time: 0.031100 memory: 4565 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.821352 2023/08/08 13:32:19 - mmengine - INFO - Epoch(train) [52][270/529] lr: 5.000000e-04 eta: 8:19:48 time: 0.359637 data_time: 0.031327 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.884112 2023/08/08 13:32:23 - mmengine - INFO - Epoch(train) [52][280/529] lr: 5.000000e-04 eta: 8:19:44 time: 0.358459 data_time: 0.031008 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.839913 2023/08/08 13:32:26 - mmengine - INFO - Epoch(train) [52][290/529] lr: 5.000000e-04 eta: 8:19:41 time: 0.358806 data_time: 0.030889 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.795871 2023/08/08 13:32:30 - mmengine - INFO - Epoch(train) [52][300/529] lr: 5.000000e-04 eta: 8:19:37 time: 0.357154 data_time: 0.030808 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.856451 2023/08/08 13:32:34 - mmengine - INFO - Epoch(train) [52][310/529] lr: 5.000000e-04 eta: 8:19:34 time: 0.356226 data_time: 0.031031 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.858821 2023/08/08 13:32:37 - mmengine - INFO - Epoch(train) [52][320/529] lr: 5.000000e-04 eta: 8:19:30 time: 0.355475 data_time: 0.031010 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.840891 2023/08/08 13:32:41 - mmengine - INFO - Epoch(train) [52][330/529] lr: 5.000000e-04 eta: 8:19:26 time: 0.358021 data_time: 0.031555 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.873780 2023/08/08 13:32:44 - mmengine - INFO - Epoch(train) [52][340/529] lr: 5.000000e-04 eta: 8:19:22 time: 0.355495 data_time: 0.031570 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.878121 2023/08/08 13:32:48 - mmengine - INFO - Epoch(train) [52][350/529] lr: 5.000000e-04 eta: 8:19:18 time: 0.350512 data_time: 0.031034 memory: 4565 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.776388 2023/08/08 13:32:51 - mmengine - INFO - Epoch(train) [52][360/529] lr: 5.000000e-04 eta: 8:19:15 time: 0.351322 data_time: 0.031329 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.844135 2023/08/08 13:32:55 - mmengine - INFO - Epoch(train) [52][370/529] lr: 5.000000e-04 eta: 8:19:11 time: 0.349563 data_time: 0.031673 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.875556 2023/08/08 13:32:58 - mmengine - INFO - Epoch(train) [52][380/529] lr: 5.000000e-04 eta: 8:19:07 time: 0.347284 data_time: 0.031589 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.793283 2023/08/08 13:33:02 - mmengine - INFO - Epoch(train) [52][390/529] lr: 5.000000e-04 eta: 8:19:03 time: 0.347318 data_time: 0.031614 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.810310 2023/08/08 13:33:05 - mmengine - INFO - Epoch(train) [52][400/529] lr: 5.000000e-04 eta: 8:18:59 time: 0.347108 data_time: 0.031731 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.822745 2023/08/08 13:33:08 - mmengine - INFO - Epoch(train) [52][410/529] lr: 5.000000e-04 eta: 8:18:55 time: 0.345070 data_time: 0.031749 memory: 4565 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.771438 2023/08/08 13:33:12 - mmengine - INFO - Epoch(train) [52][420/529] lr: 5.000000e-04 eta: 8:18:51 time: 0.345541 data_time: 0.031802 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.872558 2023/08/08 13:33:15 - mmengine - INFO - Epoch(train) [52][430/529] lr: 5.000000e-04 eta: 8:18:47 time: 0.346501 data_time: 0.031956 memory: 4565 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.855676 2023/08/08 13:33:19 - mmengine - INFO - Epoch(train) [52][440/529] lr: 5.000000e-04 eta: 8:18:44 time: 0.348563 data_time: 0.032137 memory: 4565 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.714442 2023/08/08 13:33:23 - mmengine - INFO - Epoch(train) [52][450/529] lr: 5.000000e-04 eta: 8:18:40 time: 0.351907 data_time: 0.032059 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.852126 2023/08/08 13:33:26 - mmengine - INFO - Epoch(train) [52][460/529] lr: 5.000000e-04 eta: 8:18:36 time: 0.354256 data_time: 0.035038 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.818261 2023/08/08 13:33:30 - mmengine - INFO - Epoch(train) [52][470/529] lr: 5.000000e-04 eta: 8:18:32 time: 0.353512 data_time: 0.034714 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.880191 2023/08/08 13:33:33 - mmengine - INFO - Epoch(train) [52][480/529] lr: 5.000000e-04 eta: 8:18:28 time: 0.351084 data_time: 0.034154 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.858210 2023/08/08 13:33:36 - mmengine - INFO - Epoch(train) [52][490/529] lr: 5.000000e-04 eta: 8:18:25 time: 0.349827 data_time: 0.034713 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.864150 2023/08/08 13:33:40 - mmengine - INFO - Epoch(train) [52][500/529] lr: 5.000000e-04 eta: 8:18:21 time: 0.346523 data_time: 0.035442 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.869476 2023/08/08 13:33:43 - mmengine - INFO - Epoch(train) [52][510/529] lr: 5.000000e-04 eta: 8:18:17 time: 0.344487 data_time: 0.032071 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.888392 2023/08/08 13:33:47 - mmengine - INFO - Epoch(train) [52][520/529] lr: 5.000000e-04 eta: 8:18:13 time: 0.344785 data_time: 0.031982 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.896057 2023/08/08 13:33:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:33:54 - mmengine - INFO - Epoch(train) [53][ 10/529] lr: 5.000000e-04 eta: 8:18:06 time: 0.349782 data_time: 0.035977 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.864272 2023/08/08 13:33:57 - mmengine - INFO - Epoch(train) [53][ 20/529] lr: 5.000000e-04 eta: 8:18:02 time: 0.351899 data_time: 0.035371 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.857602 2023/08/08 13:34:01 - mmengine - INFO - Epoch(train) [53][ 30/529] lr: 5.000000e-04 eta: 8:17:59 time: 0.354909 data_time: 0.035345 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.823049 2023/08/08 13:34:04 - mmengine - INFO - Epoch(train) [53][ 40/529] lr: 5.000000e-04 eta: 8:17:55 time: 0.359526 data_time: 0.035389 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.836186 2023/08/08 13:34:08 - mmengine - INFO - Epoch(train) [53][ 50/529] lr: 5.000000e-04 eta: 8:17:52 time: 0.365092 data_time: 0.036225 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.844182 2023/08/08 13:34:12 - mmengine - INFO - Epoch(train) [53][ 60/529] lr: 5.000000e-04 eta: 8:17:49 time: 0.361330 data_time: 0.031444 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.902049 2023/08/08 13:34:15 - mmengine - INFO - Epoch(train) [53][ 70/529] lr: 5.000000e-04 eta: 8:17:45 time: 0.360622 data_time: 0.031184 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.799795 2023/08/08 13:34:19 - mmengine - INFO - Epoch(train) [53][ 80/529] lr: 5.000000e-04 eta: 8:17:41 time: 0.358374 data_time: 0.031230 memory: 4565 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.825234 2023/08/08 13:34:22 - mmengine - INFO - Epoch(train) [53][ 90/529] lr: 5.000000e-04 eta: 8:17:37 time: 0.355412 data_time: 0.031420 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.804501 2023/08/08 13:34:26 - mmengine - INFO - Epoch(train) [53][100/529] lr: 5.000000e-04 eta: 8:17:33 time: 0.352083 data_time: 0.030975 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.796336 2023/08/08 13:34:29 - mmengine - INFO - Epoch(train) [53][110/529] lr: 5.000000e-04 eta: 8:17:30 time: 0.352120 data_time: 0.031219 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.834259 2023/08/08 13:34:33 - mmengine - INFO - Epoch(train) [53][120/529] lr: 5.000000e-04 eta: 8:17:26 time: 0.351740 data_time: 0.031179 memory: 4565 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.841031 2023/08/08 13:34:36 - mmengine - INFO - Epoch(train) [53][130/529] lr: 5.000000e-04 eta: 8:17:22 time: 0.351201 data_time: 0.031209 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.802327 2023/08/08 13:34:40 - mmengine - INFO - Epoch(train) [53][140/529] lr: 5.000000e-04 eta: 8:17:18 time: 0.350446 data_time: 0.030967 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.866068 2023/08/08 13:34:43 - mmengine - INFO - Epoch(train) [53][150/529] lr: 5.000000e-04 eta: 8:17:14 time: 0.349862 data_time: 0.030891 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.865979 2023/08/08 13:34:47 - mmengine - INFO - Epoch(train) [53][160/529] lr: 5.000000e-04 eta: 8:17:11 time: 0.351654 data_time: 0.030620 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.871462 2023/08/08 13:34:50 - mmengine - INFO - Epoch(train) [53][170/529] lr: 5.000000e-04 eta: 8:17:07 time: 0.352629 data_time: 0.031024 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.885905 2023/08/08 13:34:54 - mmengine - INFO - Epoch(train) [53][180/529] lr: 5.000000e-04 eta: 8:17:04 time: 0.356912 data_time: 0.034947 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.875326 2023/08/08 13:34:58 - mmengine - INFO - Epoch(train) [53][190/529] lr: 5.000000e-04 eta: 8:17:00 time: 0.357093 data_time: 0.035855 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.826678 2023/08/08 13:35:01 - mmengine - INFO - Epoch(train) [53][200/529] lr: 5.000000e-04 eta: 8:16:57 time: 0.357822 data_time: 0.037023 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.855930 2023/08/08 13:35:05 - mmengine - INFO - Epoch(train) [53][210/529] lr: 5.000000e-04 eta: 8:16:53 time: 0.357482 data_time: 0.037631 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.879370 2023/08/08 13:35:08 - mmengine - INFO - Epoch(train) [53][220/529] lr: 5.000000e-04 eta: 8:16:50 time: 0.357845 data_time: 0.037497 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.818718 2023/08/08 13:35:12 - mmengine - INFO - Epoch(train) [53][230/529] lr: 5.000000e-04 eta: 8:16:46 time: 0.355488 data_time: 0.034219 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.789187 2023/08/08 13:35:16 - mmengine - INFO - Epoch(train) [53][240/529] lr: 5.000000e-04 eta: 8:16:43 time: 0.359049 data_time: 0.033536 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.871893 2023/08/08 13:35:19 - mmengine - INFO - Epoch(train) [53][250/529] lr: 5.000000e-04 eta: 8:16:39 time: 0.359819 data_time: 0.032452 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.865323 2023/08/08 13:35:23 - mmengine - INFO - Epoch(train) [53][260/529] lr: 5.000000e-04 eta: 8:16:35 time: 0.356496 data_time: 0.031713 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.910311 2023/08/08 13:35:26 - mmengine - INFO - Epoch(train) [53][270/529] lr: 5.000000e-04 eta: 8:16:31 time: 0.355376 data_time: 0.031347 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.866787 2023/08/08 13:35:30 - mmengine - INFO - Epoch(train) [53][280/529] lr: 5.000000e-04 eta: 8:16:28 time: 0.354793 data_time: 0.030609 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.801783 2023/08/08 13:35:33 - mmengine - INFO - Epoch(train) [53][290/529] lr: 5.000000e-04 eta: 8:16:24 time: 0.352106 data_time: 0.030458 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.798394 2023/08/08 13:35:37 - mmengine - INFO - Epoch(train) [53][300/529] lr: 5.000000e-04 eta: 8:16:21 time: 0.353951 data_time: 0.031216 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.901917 2023/08/08 13:35:41 - mmengine - INFO - Epoch(train) [53][310/529] lr: 5.000000e-04 eta: 8:16:18 time: 0.361433 data_time: 0.031654 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.817456 2023/08/08 13:35:44 - mmengine - INFO - Epoch(train) [53][320/529] lr: 5.000000e-04 eta: 8:16:14 time: 0.364771 data_time: 0.031940 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.849559 2023/08/08 13:35:48 - mmengine - INFO - Epoch(train) [53][330/529] lr: 5.000000e-04 eta: 8:16:11 time: 0.364115 data_time: 0.031947 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.876591 2023/08/08 13:35:51 - mmengine - INFO - Epoch(train) [53][340/529] lr: 5.000000e-04 eta: 8:16:07 time: 0.364471 data_time: 0.031950 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.857904 2023/08/08 13:35:55 - mmengine - INFO - Epoch(train) [53][350/529] lr: 5.000000e-04 eta: 8:16:04 time: 0.363805 data_time: 0.031482 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.854199 2023/08/08 13:35:59 - mmengine - INFO - Epoch(train) [53][360/529] lr: 5.000000e-04 eta: 8:16:01 time: 0.361857 data_time: 0.031698 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.853296 2023/08/08 13:36:02 - mmengine - INFO - Epoch(train) [53][370/529] lr: 5.000000e-04 eta: 8:15:57 time: 0.358979 data_time: 0.031642 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.831662 2023/08/08 13:36:06 - mmengine - INFO - Epoch(train) [53][380/529] lr: 5.000000e-04 eta: 8:15:53 time: 0.359839 data_time: 0.031573 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.791658 2023/08/08 13:36:09 - mmengine - INFO - Epoch(train) [53][390/529] lr: 5.000000e-04 eta: 8:15:50 time: 0.361131 data_time: 0.031818 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.879044 2023/08/08 13:36:13 - mmengine - INFO - Epoch(train) [53][400/529] lr: 5.000000e-04 eta: 8:15:46 time: 0.359535 data_time: 0.031675 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.814831 2023/08/08 13:36:17 - mmengine - INFO - Epoch(train) [53][410/529] lr: 5.000000e-04 eta: 8:15:43 time: 0.356924 data_time: 0.031731 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.796039 2023/08/08 13:36:20 - mmengine - INFO - Epoch(train) [53][420/529] lr: 5.000000e-04 eta: 8:15:39 time: 0.357059 data_time: 0.031859 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.866015 2023/08/08 13:36:24 - mmengine - INFO - Epoch(train) [53][430/529] lr: 5.000000e-04 eta: 8:15:35 time: 0.358760 data_time: 0.032158 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.848610 2023/08/08 13:36:27 - mmengine - INFO - Epoch(train) [53][440/529] lr: 5.000000e-04 eta: 8:15:32 time: 0.359591 data_time: 0.035355 memory: 4565 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.864652 2023/08/08 13:36:31 - mmengine - INFO - Epoch(train) [53][450/529] lr: 5.000000e-04 eta: 8:15:28 time: 0.359388 data_time: 0.035140 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.874615 2023/08/08 13:36:34 - mmengine - INFO - Epoch(train) [53][460/529] lr: 5.000000e-04 eta: 8:15:25 time: 0.357454 data_time: 0.034447 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.894307 2023/08/08 13:36:38 - mmengine - INFO - Epoch(train) [53][470/529] lr: 5.000000e-04 eta: 8:15:21 time: 0.359865 data_time: 0.034489 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.885054 2023/08/08 13:36:42 - mmengine - INFO - Epoch(train) [53][480/529] lr: 5.000000e-04 eta: 8:15:18 time: 0.358778 data_time: 0.034882 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.872989 2023/08/08 13:36:45 - mmengine - INFO - Epoch(train) [53][490/529] lr: 5.000000e-04 eta: 8:15:14 time: 0.358238 data_time: 0.031850 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.842884 2023/08/08 13:36:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:36:49 - mmengine - INFO - Epoch(train) [53][500/529] lr: 5.000000e-04 eta: 8:15:12 time: 0.365786 data_time: 0.032635 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.794653 2023/08/08 13:36:53 - mmengine - INFO - Epoch(train) [53][510/529] lr: 5.000000e-04 eta: 8:15:09 time: 0.374608 data_time: 0.032633 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.883806 2023/08/08 13:36:57 - mmengine - INFO - Epoch(train) [53][520/529] lr: 5.000000e-04 eta: 8:15:06 time: 0.377757 data_time: 0.032351 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.889663 2023/08/08 13:37:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:37:04 - mmengine - INFO - Epoch(train) [54][ 10/529] lr: 5.000000e-04 eta: 8:15:00 time: 0.378459 data_time: 0.035668 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.834257 2023/08/08 13:37:08 - mmengine - INFO - Epoch(train) [54][ 20/529] lr: 5.000000e-04 eta: 8:14:57 time: 0.374516 data_time: 0.035659 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.894180 2023/08/08 13:37:11 - mmengine - INFO - Epoch(train) [54][ 30/529] lr: 5.000000e-04 eta: 8:14:53 time: 0.367103 data_time: 0.035838 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.837309 2023/08/08 13:37:15 - mmengine - INFO - Epoch(train) [54][ 40/529] lr: 5.000000e-04 eta: 8:14:50 time: 0.361496 data_time: 0.035889 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.866447 2023/08/08 13:37:18 - mmengine - INFO - Epoch(train) [54][ 50/529] lr: 5.000000e-04 eta: 8:14:46 time: 0.363871 data_time: 0.036135 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.895281 2023/08/08 13:37:22 - mmengine - INFO - Epoch(train) [54][ 60/529] lr: 5.000000e-04 eta: 8:14:42 time: 0.360223 data_time: 0.031393 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.888341 2023/08/08 13:37:25 - mmengine - INFO - Epoch(train) [54][ 70/529] lr: 5.000000e-04 eta: 8:14:39 time: 0.356802 data_time: 0.031175 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.836895 2023/08/08 13:37:29 - mmengine - INFO - Epoch(train) [54][ 80/529] lr: 5.000000e-04 eta: 8:14:35 time: 0.355202 data_time: 0.031138 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.864111 2023/08/08 13:37:33 - mmengine - INFO - Epoch(train) [54][ 90/529] lr: 5.000000e-04 eta: 8:14:31 time: 0.356196 data_time: 0.031411 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.805443 2023/08/08 13:37:36 - mmengine - INFO - Epoch(train) [54][100/529] lr: 5.000000e-04 eta: 8:14:28 time: 0.359368 data_time: 0.031967 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.903257 2023/08/08 13:37:40 - mmengine - INFO - Epoch(train) [54][110/529] lr: 5.000000e-04 eta: 8:14:26 time: 0.364974 data_time: 0.032214 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.819309 2023/08/08 13:37:44 - mmengine - INFO - Epoch(train) [54][120/529] lr: 5.000000e-04 eta: 8:14:23 time: 0.375316 data_time: 0.035611 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.884701 2023/08/08 13:37:48 - mmengine - INFO - Epoch(train) [54][130/529] lr: 5.000000e-04 eta: 8:14:20 time: 0.378530 data_time: 0.035708 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.854281 2023/08/08 13:37:51 - mmengine - INFO - Epoch(train) [54][140/529] lr: 5.000000e-04 eta: 8:14:16 time: 0.376464 data_time: 0.035946 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.887787 2023/08/08 13:37:55 - mmengine - INFO - Epoch(train) [54][150/529] lr: 5.000000e-04 eta: 8:14:13 time: 0.377040 data_time: 0.035955 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.869961 2023/08/08 13:37:59 - mmengine - INFO - Epoch(train) [54][160/529] lr: 5.000000e-04 eta: 8:14:10 time: 0.372851 data_time: 0.035763 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.823958 2023/08/08 13:38:02 - mmengine - INFO - Epoch(train) [54][170/529] lr: 5.000000e-04 eta: 8:14:06 time: 0.361596 data_time: 0.032039 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.879059 2023/08/08 13:38:06 - mmengine - INFO - Epoch(train) [54][180/529] lr: 5.000000e-04 eta: 8:14:02 time: 0.357754 data_time: 0.031672 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.860319 2023/08/08 13:38:09 - mmengine - INFO - Epoch(train) [54][190/529] lr: 5.000000e-04 eta: 8:13:58 time: 0.357847 data_time: 0.031245 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.876590 2023/08/08 13:38:13 - mmengine - INFO - Epoch(train) [54][200/529] lr: 5.000000e-04 eta: 8:13:55 time: 0.353195 data_time: 0.031023 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.884364 2023/08/08 13:38:16 - mmengine - INFO - Epoch(train) [54][210/529] lr: 5.000000e-04 eta: 8:13:51 time: 0.351853 data_time: 0.031079 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.853677 2023/08/08 13:38:20 - mmengine - INFO - Epoch(train) [54][220/529] lr: 5.000000e-04 eta: 8:13:48 time: 0.358493 data_time: 0.031430 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.858595 2023/08/08 13:38:24 - mmengine - INFO - Epoch(train) [54][230/529] lr: 5.000000e-04 eta: 8:13:45 time: 0.359165 data_time: 0.031447 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.905069 2023/08/08 13:38:27 - mmengine - INFO - Epoch(train) [54][240/529] lr: 5.000000e-04 eta: 8:13:41 time: 0.358828 data_time: 0.031449 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.880330 2023/08/08 13:38:31 - mmengine - INFO - Epoch(train) [54][250/529] lr: 5.000000e-04 eta: 8:13:37 time: 0.358952 data_time: 0.031346 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.819728 2023/08/08 13:38:34 - mmengine - INFO - Epoch(train) [54][260/529] lr: 5.000000e-04 eta: 8:13:33 time: 0.358900 data_time: 0.031509 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.846001 2023/08/08 13:38:38 - mmengine - INFO - Epoch(train) [54][270/529] lr: 5.000000e-04 eta: 8:13:30 time: 0.352641 data_time: 0.031222 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.885358 2023/08/08 13:38:42 - mmengine - INFO - Epoch(train) [54][280/529] lr: 5.000000e-04 eta: 8:13:27 time: 0.357018 data_time: 0.031654 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.804508 2023/08/08 13:38:45 - mmengine - INFO - Epoch(train) [54][290/529] lr: 5.000000e-04 eta: 8:13:23 time: 0.356858 data_time: 0.031727 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.800826 2023/08/08 13:38:49 - mmengine - INFO - Epoch(train) [54][300/529] lr: 5.000000e-04 eta: 8:13:19 time: 0.356125 data_time: 0.031671 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.856932 2023/08/08 13:38:52 - mmengine - INFO - Epoch(train) [54][310/529] lr: 5.000000e-04 eta: 8:13:15 time: 0.354786 data_time: 0.031636 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.829579 2023/08/08 13:38:56 - mmengine - INFO - Epoch(train) [54][320/529] lr: 5.000000e-04 eta: 8:13:12 time: 0.358971 data_time: 0.032265 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.833603 2023/08/08 13:38:59 - mmengine - INFO - Epoch(train) [54][330/529] lr: 5.000000e-04 eta: 8:13:08 time: 0.354776 data_time: 0.031919 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.860621 2023/08/08 13:39:03 - mmengine - INFO - Epoch(train) [54][340/529] lr: 5.000000e-04 eta: 8:13:05 time: 0.356403 data_time: 0.032218 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.862947 2023/08/08 13:39:06 - mmengine - INFO - Epoch(train) [54][350/529] lr: 5.000000e-04 eta: 8:13:01 time: 0.356496 data_time: 0.032162 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.831813 2023/08/08 13:39:10 - mmengine - INFO - Epoch(train) [54][360/529] lr: 5.000000e-04 eta: 8:12:57 time: 0.356318 data_time: 0.031999 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.851692 2023/08/08 13:39:13 - mmengine - INFO - Epoch(train) [54][370/529] lr: 5.000000e-04 eta: 8:12:53 time: 0.351786 data_time: 0.031283 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.852436 2023/08/08 13:39:17 - mmengine - INFO - Epoch(train) [54][380/529] lr: 5.000000e-04 eta: 8:12:49 time: 0.351801 data_time: 0.031229 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.830574 2023/08/08 13:39:21 - mmengine - INFO - Epoch(train) [54][390/529] lr: 5.000000e-04 eta: 8:12:46 time: 0.353615 data_time: 0.031099 memory: 4565 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.863044 2023/08/08 13:39:24 - mmengine - INFO - Epoch(train) [54][400/529] lr: 5.000000e-04 eta: 8:12:43 time: 0.354542 data_time: 0.031183 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.873951 2023/08/08 13:39:28 - mmengine - INFO - Epoch(train) [54][410/529] lr: 5.000000e-04 eta: 8:12:39 time: 0.358978 data_time: 0.032394 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.814560 2023/08/08 13:39:32 - mmengine - INFO - Epoch(train) [54][420/529] lr: 5.000000e-04 eta: 8:12:36 time: 0.364012 data_time: 0.033327 memory: 4565 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.823576 2023/08/08 13:39:35 - mmengine - INFO - Epoch(train) [54][430/529] lr: 5.000000e-04 eta: 8:12:33 time: 0.364439 data_time: 0.034554 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.850390 2023/08/08 13:39:39 - mmengine - INFO - Epoch(train) [54][440/529] lr: 5.000000e-04 eta: 8:12:29 time: 0.361852 data_time: 0.034882 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.831890 2023/08/08 13:39:42 - mmengine - INFO - Epoch(train) [54][450/529] lr: 5.000000e-04 eta: 8:12:25 time: 0.361742 data_time: 0.035383 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.879786 2023/08/08 13:39:46 - mmengine - INFO - Epoch(train) [54][460/529] lr: 5.000000e-04 eta: 8:12:22 time: 0.358063 data_time: 0.034605 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.865414 2023/08/08 13:39:50 - mmengine - INFO - Epoch(train) [54][470/529] lr: 5.000000e-04 eta: 8:12:18 time: 0.357816 data_time: 0.034105 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.893249 2023/08/08 13:39:53 - mmengine - INFO - Epoch(train) [54][480/529] lr: 5.000000e-04 eta: 8:12:15 time: 0.356996 data_time: 0.032761 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.825217 2023/08/08 13:39:57 - mmengine - INFO - Epoch(train) [54][490/529] lr: 5.000000e-04 eta: 8:12:11 time: 0.356311 data_time: 0.032114 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.805942 2023/08/08 13:40:00 - mmengine - INFO - Epoch(train) [54][500/529] lr: 5.000000e-04 eta: 8:12:07 time: 0.355589 data_time: 0.031383 memory: 4565 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.858035 2023/08/08 13:40:04 - mmengine - INFO - Epoch(train) [54][510/529] lr: 5.000000e-04 eta: 8:12:03 time: 0.355970 data_time: 0.030951 memory: 4565 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.772852 2023/08/08 13:40:07 - mmengine - INFO - Epoch(train) [54][520/529] lr: 5.000000e-04 eta: 8:12:00 time: 0.353854 data_time: 0.030666 memory: 4565 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.788420 2023/08/08 13:40:11 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:40:14 - mmengine - INFO - Epoch(train) [55][ 10/529] lr: 5.000000e-04 eta: 8:11:53 time: 0.358632 data_time: 0.034946 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.808073 2023/08/08 13:40:18 - mmengine - INFO - Epoch(train) [55][ 20/529] lr: 5.000000e-04 eta: 8:11:49 time: 0.356598 data_time: 0.035041 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.772741 2023/08/08 13:40:21 - mmengine - INFO - Epoch(train) [55][ 30/529] lr: 5.000000e-04 eta: 8:11:46 time: 0.356703 data_time: 0.035153 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.870613 2023/08/08 13:40:25 - mmengine - INFO - Epoch(train) [55][ 40/529] lr: 5.000000e-04 eta: 8:11:42 time: 0.352873 data_time: 0.035026 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.835454 2023/08/08 13:40:28 - mmengine - INFO - Epoch(train) [55][ 50/529] lr: 5.000000e-04 eta: 8:11:38 time: 0.352960 data_time: 0.038420 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.788497 2023/08/08 13:40:32 - mmengine - INFO - Epoch(train) [55][ 60/529] lr: 5.000000e-04 eta: 8:11:34 time: 0.349170 data_time: 0.034434 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.875646 2023/08/08 13:40:35 - mmengine - INFO - Epoch(train) [55][ 70/529] lr: 5.000000e-04 eta: 8:11:31 time: 0.355448 data_time: 0.035774 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.846761 2023/08/08 13:40:39 - mmengine - INFO - Epoch(train) [55][ 80/529] lr: 5.000000e-04 eta: 8:11:28 time: 0.356653 data_time: 0.035976 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.841927 2023/08/08 13:40:43 - mmengine - INFO - Epoch(train) [55][ 90/529] lr: 5.000000e-04 eta: 8:11:24 time: 0.360476 data_time: 0.035896 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.832179 2023/08/08 13:40:46 - mmengine - INFO - Epoch(train) [55][100/529] lr: 5.000000e-04 eta: 8:11:20 time: 0.357541 data_time: 0.032362 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.880150 2023/08/08 13:40:50 - mmengine - INFO - Epoch(train) [55][110/529] lr: 5.000000e-04 eta: 8:11:17 time: 0.359305 data_time: 0.032279 memory: 4565 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.831652 2023/08/08 13:40:53 - mmengine - INFO - Epoch(train) [55][120/529] lr: 5.000000e-04 eta: 8:11:13 time: 0.356809 data_time: 0.030921 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.820493 2023/08/08 13:40:57 - mmengine - INFO - Epoch(train) [55][130/529] lr: 5.000000e-04 eta: 8:11:10 time: 0.357235 data_time: 0.030902 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.787693 2023/08/08 13:41:00 - mmengine - INFO - Epoch(train) [55][140/529] lr: 5.000000e-04 eta: 8:11:06 time: 0.354271 data_time: 0.031025 memory: 4565 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.854178 2023/08/08 13:41:04 - mmengine - INFO - Epoch(train) [55][150/529] lr: 5.000000e-04 eta: 8:11:02 time: 0.354665 data_time: 0.030964 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.876627 2023/08/08 13:41:07 - mmengine - INFO - Epoch(train) [55][160/529] lr: 5.000000e-04 eta: 8:10:58 time: 0.354373 data_time: 0.030923 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.915268 2023/08/08 13:41:11 - mmengine - INFO - Epoch(train) [55][170/529] lr: 5.000000e-04 eta: 8:10:55 time: 0.352394 data_time: 0.030981 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.901406 2023/08/08 13:41:15 - mmengine - INFO - Epoch(train) [55][180/529] lr: 5.000000e-04 eta: 8:10:51 time: 0.353516 data_time: 0.030950 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.883347 2023/08/08 13:41:18 - mmengine - INFO - Epoch(train) [55][190/529] lr: 5.000000e-04 eta: 8:10:48 time: 0.354421 data_time: 0.030942 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.909424 2023/08/08 13:41:22 - mmengine - INFO - Epoch(train) [55][200/529] lr: 5.000000e-04 eta: 8:10:44 time: 0.355384 data_time: 0.031780 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.855836 2023/08/08 13:41:25 - mmengine - INFO - Epoch(train) [55][210/529] lr: 5.000000e-04 eta: 8:10:40 time: 0.355231 data_time: 0.031765 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.855607 2023/08/08 13:41:29 - mmengine - INFO - Epoch(train) [55][220/529] lr: 5.000000e-04 eta: 8:10:36 time: 0.355668 data_time: 0.031603 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.872537 2023/08/08 13:41:32 - mmengine - INFO - Epoch(train) [55][230/529] lr: 5.000000e-04 eta: 8:10:33 time: 0.354052 data_time: 0.031456 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.861801 2023/08/08 13:41:36 - mmengine - INFO - Epoch(train) [55][240/529] lr: 5.000000e-04 eta: 8:10:30 time: 0.357791 data_time: 0.032139 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.809045 2023/08/08 13:41:40 - mmengine - INFO - Epoch(train) [55][250/529] lr: 5.000000e-04 eta: 8:10:26 time: 0.360558 data_time: 0.035063 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.908776 2023/08/08 13:41:43 - mmengine - INFO - Epoch(train) [55][260/529] lr: 5.000000e-04 eta: 8:10:23 time: 0.361047 data_time: 0.035220 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.898463 2023/08/08 13:41:47 - mmengine - INFO - Epoch(train) [55][270/529] lr: 5.000000e-04 eta: 8:10:19 time: 0.360041 data_time: 0.035265 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.821251 2023/08/08 13:41:50 - mmengine - INFO - Epoch(train) [55][280/529] lr: 5.000000e-04 eta: 8:10:15 time: 0.357339 data_time: 0.035014 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.827238 2023/08/08 13:41:54 - mmengine - INFO - Epoch(train) [55][290/529] lr: 5.000000e-04 eta: 8:10:11 time: 0.352765 data_time: 0.034351 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.881209 2023/08/08 13:41:57 - mmengine - INFO - Epoch(train) [55][300/529] lr: 5.000000e-04 eta: 8:10:07 time: 0.348733 data_time: 0.030876 memory: 4565 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.801934 2023/08/08 13:42:01 - mmengine - INFO - Epoch(train) [55][310/529] lr: 5.000000e-04 eta: 8:10:04 time: 0.349865 data_time: 0.030809 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.831555 2023/08/08 13:42:04 - mmengine - INFO - Epoch(train) [55][320/529] lr: 5.000000e-04 eta: 8:10:00 time: 0.352746 data_time: 0.030944 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.848980 2023/08/08 13:42:08 - mmengine - INFO - Epoch(train) [55][330/529] lr: 5.000000e-04 eta: 8:09:57 time: 0.355934 data_time: 0.031083 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.895581 2023/08/08 13:42:11 - mmengine - INFO - Epoch(train) [55][340/529] lr: 5.000000e-04 eta: 8:09:53 time: 0.356221 data_time: 0.030864 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.791348 2023/08/08 13:42:15 - mmengine - INFO - Epoch(train) [55][350/529] lr: 5.000000e-04 eta: 8:09:49 time: 0.356971 data_time: 0.030586 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.865983 2023/08/08 13:42:18 - mmengine - INFO - Epoch(train) [55][360/529] lr: 5.000000e-04 eta: 8:09:45 time: 0.354916 data_time: 0.030404 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.840538 2023/08/08 13:42:22 - mmengine - INFO - Epoch(train) [55][370/529] lr: 5.000000e-04 eta: 8:09:42 time: 0.354528 data_time: 0.030561 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.915824 2023/08/08 13:42:26 - mmengine - INFO - Epoch(train) [55][380/529] lr: 5.000000e-04 eta: 8:09:38 time: 0.353855 data_time: 0.030758 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.833579 2023/08/08 13:42:29 - mmengine - INFO - Epoch(train) [55][390/529] lr: 5.000000e-04 eta: 8:09:35 time: 0.358468 data_time: 0.031295 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.832661 2023/08/08 13:42:33 - mmengine - INFO - Epoch(train) [55][400/529] lr: 5.000000e-04 eta: 8:09:31 time: 0.357677 data_time: 0.032049 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.828269 2023/08/08 13:42:36 - mmengine - INFO - Epoch(train) [55][410/529] lr: 5.000000e-04 eta: 8:09:28 time: 0.358043 data_time: 0.032687 memory: 4565 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.809777 2023/08/08 13:42:40 - mmengine - INFO - Epoch(train) [55][420/529] lr: 5.000000e-04 eta: 8:09:24 time: 0.356119 data_time: 0.033005 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.850660 2023/08/08 13:42:44 - mmengine - INFO - Epoch(train) [55][430/529] lr: 5.000000e-04 eta: 8:09:21 time: 0.358545 data_time: 0.032765 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.840909 2023/08/08 13:42:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:42:47 - mmengine - INFO - Epoch(train) [55][440/529] lr: 5.000000e-04 eta: 8:09:17 time: 0.355457 data_time: 0.032919 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.823620 2023/08/08 13:42:51 - mmengine - INFO - Epoch(train) [55][450/529] lr: 5.000000e-04 eta: 8:09:14 time: 0.359386 data_time: 0.032510 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.858284 2023/08/08 13:42:54 - mmengine - INFO - Epoch(train) [55][460/529] lr: 5.000000e-04 eta: 8:09:10 time: 0.362029 data_time: 0.031880 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.905528 2023/08/08 13:42:58 - mmengine - INFO - Epoch(train) [55][470/529] lr: 5.000000e-04 eta: 8:09:07 time: 0.362086 data_time: 0.031289 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.879202 2023/08/08 13:43:01 - mmengine - INFO - Epoch(train) [55][480/529] lr: 5.000000e-04 eta: 8:09:03 time: 0.357698 data_time: 0.031208 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.866636 2023/08/08 13:43:05 - mmengine - INFO - Epoch(train) [55][490/529] lr: 5.000000e-04 eta: 8:08:59 time: 0.356625 data_time: 0.030651 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.806709 2023/08/08 13:43:09 - mmengine - INFO - Epoch(train) [55][500/529] lr: 5.000000e-04 eta: 8:08:56 time: 0.358383 data_time: 0.030385 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.882476 2023/08/08 13:43:12 - mmengine - INFO - Epoch(train) [55][510/529] lr: 5.000000e-04 eta: 8:08:53 time: 0.358901 data_time: 0.030539 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.813613 2023/08/08 13:43:16 - mmengine - INFO - Epoch(train) [55][520/529] lr: 5.000000e-04 eta: 8:08:49 time: 0.359501 data_time: 0.030853 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.801670 2023/08/08 13:43:19 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:43:23 - mmengine - INFO - Epoch(train) [56][ 10/529] lr: 5.000000e-04 eta: 8:08:42 time: 0.360121 data_time: 0.034677 memory: 4565 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.814626 2023/08/08 13:43:26 - mmengine - INFO - Epoch(train) [56][ 20/529] lr: 5.000000e-04 eta: 8:08:38 time: 0.356041 data_time: 0.034760 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.822943 2023/08/08 13:43:30 - mmengine - INFO - Epoch(train) [56][ 30/529] lr: 5.000000e-04 eta: 8:08:34 time: 0.352607 data_time: 0.034799 memory: 4565 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.835841 2023/08/08 13:43:34 - mmengine - INFO - Epoch(train) [56][ 40/529] lr: 5.000000e-04 eta: 8:08:32 time: 0.357967 data_time: 0.034466 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.922636 2023/08/08 13:43:37 - mmengine - INFO - Epoch(train) [56][ 50/529] lr: 5.000000e-04 eta: 8:08:29 time: 0.367997 data_time: 0.035168 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.899509 2023/08/08 13:43:41 - mmengine - INFO - Epoch(train) [56][ 60/529] lr: 5.000000e-04 eta: 8:08:26 time: 0.372795 data_time: 0.031689 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.834213 2023/08/08 13:43:45 - mmengine - INFO - Epoch(train) [56][ 70/529] lr: 5.000000e-04 eta: 8:08:23 time: 0.379143 data_time: 0.031954 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.825199 2023/08/08 13:43:49 - mmengine - INFO - Epoch(train) [56][ 80/529] lr: 5.000000e-04 eta: 8:08:20 time: 0.382570 data_time: 0.032070 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.818323 2023/08/08 13:43:52 - mmengine - INFO - Epoch(train) [56][ 90/529] lr: 5.000000e-04 eta: 8:08:17 time: 0.378115 data_time: 0.032457 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.865249 2023/08/08 13:43:56 - mmengine - INFO - Epoch(train) [56][100/529] lr: 5.000000e-04 eta: 8:08:13 time: 0.368233 data_time: 0.031852 memory: 4565 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.878001 2023/08/08 13:43:59 - mmengine - INFO - Epoch(train) [56][110/529] lr: 5.000000e-04 eta: 8:08:09 time: 0.361682 data_time: 0.032231 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.826579 2023/08/08 13:44:03 - mmengine - INFO - Epoch(train) [56][120/529] lr: 5.000000e-04 eta: 8:08:05 time: 0.352969 data_time: 0.032725 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.778043 2023/08/08 13:44:06 - mmengine - INFO - Epoch(train) [56][130/529] lr: 5.000000e-04 eta: 8:08:01 time: 0.351166 data_time: 0.033252 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.875614 2023/08/08 13:44:10 - mmengine - INFO - Epoch(train) [56][140/529] lr: 5.000000e-04 eta: 8:07:57 time: 0.347978 data_time: 0.033569 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.908117 2023/08/08 13:44:13 - mmengine - INFO - Epoch(train) [56][150/529] lr: 5.000000e-04 eta: 8:07:53 time: 0.347902 data_time: 0.034455 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.862941 2023/08/08 13:44:17 - mmengine - INFO - Epoch(train) [56][160/529] lr: 5.000000e-04 eta: 8:07:50 time: 0.347328 data_time: 0.034119 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.884794 2023/08/08 13:44:20 - mmengine - INFO - Epoch(train) [56][170/529] lr: 5.000000e-04 eta: 8:07:46 time: 0.351495 data_time: 0.033226 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.896148 2023/08/08 13:44:24 - mmengine - INFO - Epoch(train) [56][180/529] lr: 5.000000e-04 eta: 8:07:42 time: 0.349353 data_time: 0.032469 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.870727 2023/08/08 13:44:27 - mmengine - INFO - Epoch(train) [56][190/529] lr: 5.000000e-04 eta: 8:07:38 time: 0.350777 data_time: 0.031755 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.819838 2023/08/08 13:44:31 - mmengine - INFO - Epoch(train) [56][200/529] lr: 5.000000e-04 eta: 8:07:34 time: 0.351054 data_time: 0.030818 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.872532 2023/08/08 13:44:34 - mmengine - INFO - Epoch(train) [56][210/529] lr: 5.000000e-04 eta: 8:07:30 time: 0.349354 data_time: 0.030295 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.764614 2023/08/08 13:44:38 - mmengine - INFO - Epoch(train) [56][220/529] lr: 5.000000e-04 eta: 8:07:27 time: 0.346400 data_time: 0.030937 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.900779 2023/08/08 13:44:41 - mmengine - INFO - Epoch(train) [56][230/529] lr: 5.000000e-04 eta: 8:07:23 time: 0.345466 data_time: 0.031025 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.801149 2023/08/08 13:44:45 - mmengine - INFO - Epoch(train) [56][240/529] lr: 5.000000e-04 eta: 8:07:19 time: 0.346279 data_time: 0.031143 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.881592 2023/08/08 13:44:48 - mmengine - INFO - Epoch(train) [56][250/529] lr: 5.000000e-04 eta: 8:07:15 time: 0.346178 data_time: 0.031103 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.886076 2023/08/08 13:44:52 - mmengine - INFO - Epoch(train) [56][260/529] lr: 5.000000e-04 eta: 8:07:11 time: 0.345928 data_time: 0.031125 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.869702 2023/08/08 13:44:55 - mmengine - INFO - Epoch(train) [56][270/529] lr: 5.000000e-04 eta: 8:07:07 time: 0.347793 data_time: 0.030450 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.841514 2023/08/08 13:44:59 - mmengine - INFO - Epoch(train) [56][280/529] lr: 5.000000e-04 eta: 8:07:03 time: 0.348152 data_time: 0.030476 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.889773 2023/08/08 13:45:02 - mmengine - INFO - Epoch(train) [56][290/529] lr: 5.000000e-04 eta: 8:07:00 time: 0.347219 data_time: 0.030604 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.883108 2023/08/08 13:45:06 - mmengine - INFO - Epoch(train) [56][300/529] lr: 5.000000e-04 eta: 8:06:56 time: 0.349884 data_time: 0.031174 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.871496 2023/08/08 13:45:09 - mmengine - INFO - Epoch(train) [56][310/529] lr: 5.000000e-04 eta: 8:06:53 time: 0.356875 data_time: 0.031589 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.849956 2023/08/08 13:45:13 - mmengine - INFO - Epoch(train) [56][320/529] lr: 5.000000e-04 eta: 8:06:49 time: 0.354727 data_time: 0.031667 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.847493 2023/08/08 13:45:16 - mmengine - INFO - Epoch(train) [56][330/529] lr: 5.000000e-04 eta: 8:06:45 time: 0.354129 data_time: 0.031517 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.837601 2023/08/08 13:45:20 - mmengine - INFO - Epoch(train) [56][340/529] lr: 5.000000e-04 eta: 8:06:41 time: 0.352392 data_time: 0.031293 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.882463 2023/08/08 13:45:23 - mmengine - INFO - Epoch(train) [56][350/529] lr: 5.000000e-04 eta: 8:06:37 time: 0.350138 data_time: 0.030970 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.828679 2023/08/08 13:45:27 - mmengine - INFO - Epoch(train) [56][360/529] lr: 5.000000e-04 eta: 8:06:33 time: 0.344655 data_time: 0.030757 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.766988 2023/08/08 13:45:30 - mmengine - INFO - Epoch(train) [56][370/529] lr: 5.000000e-04 eta: 8:06:30 time: 0.346152 data_time: 0.031040 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.882788 2023/08/08 13:45:34 - mmengine - INFO - Epoch(train) [56][380/529] lr: 5.000000e-04 eta: 8:06:26 time: 0.348019 data_time: 0.031704 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.889297 2023/08/08 13:45:37 - mmengine - INFO - Epoch(train) [56][390/529] lr: 5.000000e-04 eta: 8:06:22 time: 0.350812 data_time: 0.031667 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.865672 2023/08/08 13:45:41 - mmengine - INFO - Epoch(train) [56][400/529] lr: 5.000000e-04 eta: 8:06:19 time: 0.352886 data_time: 0.031431 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.869325 2023/08/08 13:45:44 - mmengine - INFO - Epoch(train) [56][410/529] lr: 5.000000e-04 eta: 8:06:15 time: 0.354472 data_time: 0.031328 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.838113 2023/08/08 13:45:48 - mmengine - INFO - Epoch(train) [56][420/529] lr: 5.000000e-04 eta: 8:06:11 time: 0.355616 data_time: 0.031286 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.839861 2023/08/08 13:45:51 - mmengine - INFO - Epoch(train) [56][430/529] lr: 5.000000e-04 eta: 8:06:08 time: 0.355570 data_time: 0.030667 memory: 4565 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.854611 2023/08/08 13:45:55 - mmengine - INFO - Epoch(train) [56][440/529] lr: 5.000000e-04 eta: 8:06:04 time: 0.356785 data_time: 0.031490 memory: 4565 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.871848 2023/08/08 13:45:59 - mmengine - INFO - Epoch(train) [56][450/529] lr: 5.000000e-04 eta: 8:06:01 time: 0.357496 data_time: 0.032768 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.853192 2023/08/08 13:46:02 - mmengine - INFO - Epoch(train) [56][460/529] lr: 5.000000e-04 eta: 8:05:57 time: 0.359547 data_time: 0.033179 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.819885 2023/08/08 13:46:06 - mmengine - INFO - Epoch(train) [56][470/529] lr: 5.000000e-04 eta: 8:05:54 time: 0.359834 data_time: 0.036387 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.916070 2023/08/08 13:46:10 - mmengine - INFO - Epoch(train) [56][480/529] lr: 5.000000e-04 eta: 8:05:50 time: 0.360783 data_time: 0.036573 memory: 4565 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.878584 2023/08/08 13:46:13 - mmengine - INFO - Epoch(train) [56][490/529] lr: 5.000000e-04 eta: 8:05:47 time: 0.359033 data_time: 0.035921 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.798693 2023/08/08 13:46:17 - mmengine - INFO - Epoch(train) [56][500/529] lr: 5.000000e-04 eta: 8:05:43 time: 0.358755 data_time: 0.034967 memory: 4565 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.836117 2023/08/08 13:46:20 - mmengine - INFO - Epoch(train) [56][510/529] lr: 5.000000e-04 eta: 8:05:39 time: 0.355569 data_time: 0.034913 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.881778 2023/08/08 13:46:24 - mmengine - INFO - Epoch(train) [56][520/529] lr: 5.000000e-04 eta: 8:05:35 time: 0.353797 data_time: 0.031530 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.880626 2023/08/08 13:46:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:46:30 - mmengine - INFO - Epoch(train) [57][ 10/529] lr: 5.000000e-04 eta: 8:05:29 time: 0.355003 data_time: 0.035240 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.875287 2023/08/08 13:46:34 - mmengine - INFO - Epoch(train) [57][ 20/529] lr: 5.000000e-04 eta: 8:05:25 time: 0.352702 data_time: 0.035201 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.839395 2023/08/08 13:46:37 - mmengine - INFO - Epoch(train) [57][ 30/529] lr: 5.000000e-04 eta: 8:05:21 time: 0.350944 data_time: 0.034603 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.845045 2023/08/08 13:46:41 - mmengine - INFO - Epoch(train) [57][ 40/529] lr: 5.000000e-04 eta: 8:05:17 time: 0.349646 data_time: 0.034660 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.847390 2023/08/08 13:46:44 - mmengine - INFO - Epoch(train) [57][ 50/529] lr: 5.000000e-04 eta: 8:05:13 time: 0.351822 data_time: 0.034860 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.854051 2023/08/08 13:46:48 - mmengine - INFO - Epoch(train) [57][ 60/529] lr: 5.000000e-04 eta: 8:05:09 time: 0.345716 data_time: 0.030524 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.864375 2023/08/08 13:46:51 - mmengine - INFO - Epoch(train) [57][ 70/529] lr: 5.000000e-04 eta: 8:05:05 time: 0.345679 data_time: 0.030292 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.869662 2023/08/08 13:46:55 - mmengine - INFO - Epoch(train) [57][ 80/529] lr: 5.000000e-04 eta: 8:05:01 time: 0.345676 data_time: 0.030334 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.869036 2023/08/08 13:46:58 - mmengine - INFO - Epoch(train) [57][ 90/529] lr: 5.000000e-04 eta: 8:04:58 time: 0.348922 data_time: 0.030372 memory: 4565 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.819165 2023/08/08 13:47:02 - mmengine - INFO - Epoch(train) [57][100/529] lr: 5.000000e-04 eta: 8:04:55 time: 0.351976 data_time: 0.030746 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.813129 2023/08/08 13:47:06 - mmengine - INFO - Epoch(train) [57][110/529] lr: 5.000000e-04 eta: 8:04:51 time: 0.355723 data_time: 0.030883 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.838896 2023/08/08 13:47:09 - mmengine - INFO - Epoch(train) [57][120/529] lr: 5.000000e-04 eta: 8:04:47 time: 0.354348 data_time: 0.031042 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.887749 2023/08/08 13:47:12 - mmengine - INFO - Epoch(train) [57][130/529] lr: 5.000000e-04 eta: 8:04:43 time: 0.353471 data_time: 0.031013 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.887878 2023/08/08 13:47:16 - mmengine - INFO - Epoch(train) [57][140/529] lr: 5.000000e-04 eta: 8:04:39 time: 0.349789 data_time: 0.031025 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.835992 2023/08/08 13:47:19 - mmengine - INFO - Epoch(train) [57][150/529] lr: 5.000000e-04 eta: 8:04:35 time: 0.344941 data_time: 0.031523 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.781452 2023/08/08 13:47:23 - mmengine - INFO - Epoch(train) [57][160/529] lr: 5.000000e-04 eta: 8:04:31 time: 0.342686 data_time: 0.031461 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.844644 2023/08/08 13:47:26 - mmengine - INFO - Epoch(train) [57][170/529] lr: 5.000000e-04 eta: 8:04:28 time: 0.349132 data_time: 0.031660 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.837759 2023/08/08 13:47:30 - mmengine - INFO - Epoch(train) [57][180/529] lr: 5.000000e-04 eta: 8:04:25 time: 0.360077 data_time: 0.032094 memory: 4565 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.824324 2023/08/08 13:47:34 - mmengine - INFO - Epoch(train) [57][190/529] lr: 5.000000e-04 eta: 8:04:23 time: 0.369727 data_time: 0.032045 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.813013 2023/08/08 13:47:38 - mmengine - INFO - Epoch(train) [57][200/529] lr: 5.000000e-04 eta: 8:04:20 time: 0.381490 data_time: 0.031401 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.782673 2023/08/08 13:47:42 - mmengine - INFO - Epoch(train) [57][210/529] lr: 5.000000e-04 eta: 8:04:17 time: 0.387467 data_time: 0.031487 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.825929 2023/08/08 13:47:46 - mmengine - INFO - Epoch(train) [57][220/529] lr: 5.000000e-04 eta: 8:04:13 time: 0.382590 data_time: 0.031580 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.862316 2023/08/08 13:47:49 - mmengine - INFO - Epoch(train) [57][230/529] lr: 5.000000e-04 eta: 8:04:10 time: 0.374171 data_time: 0.031519 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.853285 2023/08/08 13:47:52 - mmengine - INFO - Epoch(train) [57][240/529] lr: 5.000000e-04 eta: 8:04:06 time: 0.364229 data_time: 0.031408 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.845089 2023/08/08 13:47:56 - mmengine - INFO - Epoch(train) [57][250/529] lr: 5.000000e-04 eta: 8:04:02 time: 0.351433 data_time: 0.031271 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.893992 2023/08/08 13:47:59 - mmengine - INFO - Epoch(train) [57][260/529] lr: 5.000000e-04 eta: 8:03:58 time: 0.343657 data_time: 0.030912 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.930832 2023/08/08 13:48:03 - mmengine - INFO - Epoch(train) [57][270/529] lr: 5.000000e-04 eta: 8:03:54 time: 0.342396 data_time: 0.030516 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.809033 2023/08/08 13:48:06 - mmengine - INFO - Epoch(train) [57][280/529] lr: 5.000000e-04 eta: 8:03:50 time: 0.344695 data_time: 0.034251 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.827589 2023/08/08 13:48:10 - mmengine - INFO - Epoch(train) [57][290/529] lr: 5.000000e-04 eta: 8:03:46 time: 0.345846 data_time: 0.034513 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.844853 2023/08/08 13:48:13 - mmengine - INFO - Epoch(train) [57][300/529] lr: 5.000000e-04 eta: 8:03:42 time: 0.347124 data_time: 0.035438 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.851985 2023/08/08 13:48:17 - mmengine - INFO - Epoch(train) [57][310/529] lr: 5.000000e-04 eta: 8:03:38 time: 0.347205 data_time: 0.035690 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.857117 2023/08/08 13:48:20 - mmengine - INFO - Epoch(train) [57][320/529] lr: 5.000000e-04 eta: 8:03:34 time: 0.347603 data_time: 0.035817 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.877286 2023/08/08 13:48:24 - mmengine - INFO - Epoch(train) [57][330/529] lr: 5.000000e-04 eta: 8:03:30 time: 0.344100 data_time: 0.031737 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.877227 2023/08/08 13:48:27 - mmengine - INFO - Epoch(train) [57][340/529] lr: 5.000000e-04 eta: 8:03:27 time: 0.344430 data_time: 0.031789 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.917890 2023/08/08 13:48:31 - mmengine - INFO - Epoch(train) [57][350/529] lr: 5.000000e-04 eta: 8:03:23 time: 0.346668 data_time: 0.030949 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.894976 2023/08/08 13:48:34 - mmengine - INFO - Epoch(train) [57][360/529] lr: 5.000000e-04 eta: 8:03:20 time: 0.352214 data_time: 0.031149 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.827820 2023/08/08 13:48:38 - mmengine - INFO - Epoch(train) [57][370/529] lr: 5.000000e-04 eta: 8:03:16 time: 0.352142 data_time: 0.030926 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.820483 2023/08/08 13:48:40 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:48:41 - mmengine - INFO - Epoch(train) [57][380/529] lr: 5.000000e-04 eta: 8:03:12 time: 0.353327 data_time: 0.031054 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.905128 2023/08/08 13:48:45 - mmengine - INFO - Epoch(train) [57][390/529] lr: 5.000000e-04 eta: 8:03:08 time: 0.351934 data_time: 0.030849 memory: 4565 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.826847 2023/08/08 13:48:48 - mmengine - INFO - Epoch(train) [57][400/529] lr: 5.000000e-04 eta: 8:03:04 time: 0.349313 data_time: 0.031082 memory: 4565 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.869729 2023/08/08 13:48:52 - mmengine - INFO - Epoch(train) [57][410/529] lr: 5.000000e-04 eta: 8:03:00 time: 0.347417 data_time: 0.032170 memory: 4565 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.832688 2023/08/08 13:48:55 - mmengine - INFO - Epoch(train) [57][420/529] lr: 5.000000e-04 eta: 8:02:57 time: 0.349658 data_time: 0.032385 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.817265 2023/08/08 13:48:59 - mmengine - INFO - Epoch(train) [57][430/529] lr: 5.000000e-04 eta: 8:02:54 time: 0.357260 data_time: 0.032971 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.789685 2023/08/08 13:49:03 - mmengine - INFO - Epoch(train) [57][440/529] lr: 5.000000e-04 eta: 8:02:52 time: 0.369787 data_time: 0.033200 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.871073 2023/08/08 13:49:07 - mmengine - INFO - Epoch(train) [57][450/529] lr: 5.000000e-04 eta: 8:02:49 time: 0.378114 data_time: 0.033246 memory: 4565 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.855040 2023/08/08 13:49:11 - mmengine - INFO - Epoch(train) [57][460/529] lr: 5.000000e-04 eta: 8:02:46 time: 0.384353 data_time: 0.032230 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.852714 2023/08/08 13:49:14 - mmengine - INFO - Epoch(train) [57][470/529] lr: 5.000000e-04 eta: 8:02:43 time: 0.385889 data_time: 0.032413 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.850594 2023/08/08 13:49:18 - mmengine - INFO - Epoch(train) [57][480/529] lr: 5.000000e-04 eta: 8:02:39 time: 0.379451 data_time: 0.032581 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.796324 2023/08/08 13:49:22 - mmengine - INFO - Epoch(train) [57][490/529] lr: 5.000000e-04 eta: 8:02:36 time: 0.372068 data_time: 0.032441 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.789926 2023/08/08 13:49:25 - mmengine - INFO - Epoch(train) [57][500/529] lr: 5.000000e-04 eta: 8:02:32 time: 0.366024 data_time: 0.032162 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.798600 2023/08/08 13:49:29 - mmengine - INFO - Epoch(train) [57][510/529] lr: 5.000000e-04 eta: 8:02:28 time: 0.358601 data_time: 0.031862 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.937733 2023/08/08 13:49:32 - mmengine - INFO - Epoch(train) [57][520/529] lr: 5.000000e-04 eta: 8:02:25 time: 0.356628 data_time: 0.031609 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.911409 2023/08/08 13:49:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:49:39 - mmengine - INFO - Epoch(train) [58][ 10/529] lr: 5.000000e-04 eta: 8:02:18 time: 0.357037 data_time: 0.035071 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.860008 2023/08/08 13:49:43 - mmengine - INFO - Epoch(train) [58][ 20/529] lr: 5.000000e-04 eta: 8:02:15 time: 0.360055 data_time: 0.035300 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.833658 2023/08/08 13:49:46 - mmengine - INFO - Epoch(train) [58][ 30/529] lr: 5.000000e-04 eta: 8:02:11 time: 0.359462 data_time: 0.035190 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.837850 2023/08/08 13:49:50 - mmengine - INFO - Epoch(train) [58][ 40/529] lr: 5.000000e-04 eta: 8:02:07 time: 0.359277 data_time: 0.035196 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.885910 2023/08/08 13:49:53 - mmengine - INFO - Epoch(train) [58][ 50/529] lr: 5.000000e-04 eta: 8:02:04 time: 0.360032 data_time: 0.035293 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.846705 2023/08/08 13:49:57 - mmengine - INFO - Epoch(train) [58][ 60/529] lr: 5.000000e-04 eta: 8:02:00 time: 0.354059 data_time: 0.030642 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.921691 2023/08/08 13:50:01 - mmengine - INFO - Epoch(train) [58][ 70/529] lr: 5.000000e-04 eta: 8:01:57 time: 0.354161 data_time: 0.034493 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.890848 2023/08/08 13:50:04 - mmengine - INFO - Epoch(train) [58][ 80/529] lr: 5.000000e-04 eta: 8:01:53 time: 0.356755 data_time: 0.035071 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.816531 2023/08/08 13:50:08 - mmengine - INFO - Epoch(train) [58][ 90/529] lr: 5.000000e-04 eta: 8:01:49 time: 0.357267 data_time: 0.035320 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.887875 2023/08/08 13:50:11 - mmengine - INFO - Epoch(train) [58][100/529] lr: 5.000000e-04 eta: 8:01:46 time: 0.357369 data_time: 0.035386 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.874389 2023/08/08 13:50:15 - mmengine - INFO - Epoch(train) [58][110/529] lr: 5.000000e-04 eta: 8:01:42 time: 0.356727 data_time: 0.035192 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.838398 2023/08/08 13:50:18 - mmengine - INFO - Epoch(train) [58][120/529] lr: 5.000000e-04 eta: 8:01:38 time: 0.354848 data_time: 0.031155 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.857989 2023/08/08 13:50:22 - mmengine - INFO - Epoch(train) [58][130/529] lr: 5.000000e-04 eta: 8:01:35 time: 0.353650 data_time: 0.031071 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.806813 2023/08/08 13:50:26 - mmengine - INFO - Epoch(train) [58][140/529] lr: 5.000000e-04 eta: 8:01:31 time: 0.353989 data_time: 0.031189 memory: 4565 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.854696 2023/08/08 13:50:29 - mmengine - INFO - Epoch(train) [58][150/529] lr: 5.000000e-04 eta: 8:01:27 time: 0.355377 data_time: 0.031382 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.862258 2023/08/08 13:50:33 - mmengine - INFO - Epoch(train) [58][160/529] lr: 5.000000e-04 eta: 8:01:24 time: 0.356122 data_time: 0.031565 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.932746 2023/08/08 13:50:36 - mmengine - INFO - Epoch(train) [58][170/529] lr: 5.000000e-04 eta: 8:01:20 time: 0.353559 data_time: 0.031316 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.853318 2023/08/08 13:50:40 - mmengine - INFO - Epoch(train) [58][180/529] lr: 5.000000e-04 eta: 8:01:16 time: 0.352595 data_time: 0.030837 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.754934 2023/08/08 13:50:43 - mmengine - INFO - Epoch(train) [58][190/529] lr: 5.000000e-04 eta: 8:01:13 time: 0.352945 data_time: 0.030693 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.802100 2023/08/08 13:50:47 - mmengine - INFO - Epoch(train) [58][200/529] lr: 5.000000e-04 eta: 8:01:09 time: 0.352666 data_time: 0.030976 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.878845 2023/08/08 13:50:50 - mmengine - INFO - Epoch(train) [58][210/529] lr: 5.000000e-04 eta: 8:01:05 time: 0.354299 data_time: 0.031345 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.832207 2023/08/08 13:50:54 - mmengine - INFO - Epoch(train) [58][220/529] lr: 5.000000e-04 eta: 8:01:02 time: 0.353603 data_time: 0.031623 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.895283 2023/08/08 13:50:58 - mmengine - INFO - Epoch(train) [58][230/529] lr: 5.000000e-04 eta: 8:00:58 time: 0.357917 data_time: 0.031861 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.873380 2023/08/08 13:51:02 - mmengine - INFO - Epoch(train) [58][240/529] lr: 5.000000e-04 eta: 8:00:56 time: 0.367484 data_time: 0.031972 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.855343 2023/08/08 13:51:05 - mmengine - INFO - Epoch(train) [58][250/529] lr: 5.000000e-04 eta: 8:00:53 time: 0.374322 data_time: 0.031727 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.894512 2023/08/08 13:51:09 - mmengine - INFO - Epoch(train) [58][260/529] lr: 5.000000e-04 eta: 8:00:51 time: 0.380331 data_time: 0.031853 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.821267 2023/08/08 13:51:13 - mmengine - INFO - Epoch(train) [58][270/529] lr: 5.000000e-04 eta: 8:00:47 time: 0.383475 data_time: 0.032095 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.854902 2023/08/08 13:51:17 - mmengine - INFO - Epoch(train) [58][280/529] lr: 5.000000e-04 eta: 8:00:44 time: 0.380563 data_time: 0.032088 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.753254 2023/08/08 13:51:20 - mmengine - INFO - Epoch(train) [58][290/529] lr: 5.000000e-04 eta: 8:00:40 time: 0.370500 data_time: 0.031712 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.798405 2023/08/08 13:51:24 - mmengine - INFO - Epoch(train) [58][300/529] lr: 5.000000e-04 eta: 8:00:37 time: 0.366266 data_time: 0.031496 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.862865 2023/08/08 13:51:27 - mmengine - INFO - Epoch(train) [58][310/529] lr: 5.000000e-04 eta: 8:00:33 time: 0.359104 data_time: 0.031040 memory: 4565 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.789525 2023/08/08 13:51:31 - mmengine - INFO - Epoch(train) [58][320/529] lr: 5.000000e-04 eta: 8:00:29 time: 0.357685 data_time: 0.030919 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.821856 2023/08/08 13:51:34 - mmengine - INFO - Epoch(train) [58][330/529] lr: 5.000000e-04 eta: 8:00:26 time: 0.356924 data_time: 0.031114 memory: 4565 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.829693 2023/08/08 13:51:38 - mmengine - INFO - Epoch(train) [58][340/529] lr: 5.000000e-04 eta: 8:00:22 time: 0.359128 data_time: 0.032188 memory: 4565 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.791862 2023/08/08 13:51:42 - mmengine - INFO - Epoch(train) [58][350/529] lr: 5.000000e-04 eta: 8:00:19 time: 0.356607 data_time: 0.032577 memory: 4565 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.889099 2023/08/08 13:51:45 - mmengine - INFO - Epoch(train) [58][360/529] lr: 5.000000e-04 eta: 8:00:15 time: 0.356345 data_time: 0.033124 memory: 4565 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.842674 2023/08/08 13:51:49 - mmengine - INFO - Epoch(train) [58][370/529] lr: 5.000000e-04 eta: 8:00:11 time: 0.357723 data_time: 0.033031 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.834990 2023/08/08 13:51:52 - mmengine - INFO - Epoch(train) [58][380/529] lr: 5.000000e-04 eta: 8:00:08 time: 0.360534 data_time: 0.032805 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.861021 2023/08/08 13:51:56 - mmengine - INFO - Epoch(train) [58][390/529] lr: 5.000000e-04 eta: 8:00:05 time: 0.360421 data_time: 0.032290 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.830556 2023/08/08 13:52:00 - mmengine - INFO - Epoch(train) [58][400/529] lr: 5.000000e-04 eta: 8:00:02 time: 0.365976 data_time: 0.032577 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.848120 2023/08/08 13:52:03 - mmengine - INFO - Epoch(train) [58][410/529] lr: 5.000000e-04 eta: 7:59:58 time: 0.366536 data_time: 0.031965 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.858863 2023/08/08 13:52:07 - mmengine - INFO - Epoch(train) [58][420/529] lr: 5.000000e-04 eta: 7:59:55 time: 0.367765 data_time: 0.031940 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.895748 2023/08/08 13:52:11 - mmengine - INFO - Epoch(train) [58][430/529] lr: 5.000000e-04 eta: 7:59:51 time: 0.364538 data_time: 0.031611 memory: 4565 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.888703 2023/08/08 13:52:14 - mmengine - INFO - Epoch(train) [58][440/529] lr: 5.000000e-04 eta: 7:59:48 time: 0.363240 data_time: 0.031242 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.791295 2023/08/08 13:52:18 - mmengine - INFO - Epoch(train) [58][450/529] lr: 5.000000e-04 eta: 7:59:44 time: 0.356785 data_time: 0.030761 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.841680 2023/08/08 13:52:21 - mmengine - INFO - Epoch(train) [58][460/529] lr: 5.000000e-04 eta: 7:59:40 time: 0.356029 data_time: 0.030993 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.853193 2023/08/08 13:52:25 - mmengine - INFO - Epoch(train) [58][470/529] lr: 5.000000e-04 eta: 7:59:36 time: 0.352421 data_time: 0.031503 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.813318 2023/08/08 13:52:28 - mmengine - INFO - Epoch(train) [58][480/529] lr: 5.000000e-04 eta: 7:59:33 time: 0.352862 data_time: 0.032286 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.878396 2023/08/08 13:52:32 - mmengine - INFO - Epoch(train) [58][490/529] lr: 5.000000e-04 eta: 7:59:30 time: 0.357367 data_time: 0.032300 memory: 4565 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.747965 2023/08/08 13:52:36 - mmengine - INFO - Epoch(train) [58][500/529] lr: 5.000000e-04 eta: 7:59:26 time: 0.360275 data_time: 0.032549 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.846635 2023/08/08 13:52:39 - mmengine - INFO - Epoch(train) [58][510/529] lr: 5.000000e-04 eta: 7:59:22 time: 0.359996 data_time: 0.032296 memory: 4565 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.808063 2023/08/08 13:52:43 - mmengine - INFO - Epoch(train) [58][520/529] lr: 5.000000e-04 eta: 7:59:19 time: 0.363159 data_time: 0.031788 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.824332 2023/08/08 13:52:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:52:50 - mmengine - INFO - Epoch(train) [59][ 10/529] lr: 5.000000e-04 eta: 7:59:12 time: 0.360531 data_time: 0.034051 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.842685 2023/08/08 13:52:53 - mmengine - INFO - Epoch(train) [59][ 20/529] lr: 5.000000e-04 eta: 7:59:09 time: 0.358519 data_time: 0.034450 memory: 4565 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.826284 2023/08/08 13:52:57 - mmengine - INFO - Epoch(train) [59][ 30/529] lr: 5.000000e-04 eta: 7:59:05 time: 0.357686 data_time: 0.035047 memory: 4565 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.773782 2023/08/08 13:53:00 - mmengine - INFO - Epoch(train) [59][ 40/529] lr: 5.000000e-04 eta: 7:59:01 time: 0.355301 data_time: 0.035210 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.873796 2023/08/08 13:53:04 - mmengine - INFO - Epoch(train) [59][ 50/529] lr: 5.000000e-04 eta: 7:58:57 time: 0.353927 data_time: 0.036042 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.842159 2023/08/08 13:53:07 - mmengine - INFO - Epoch(train) [59][ 60/529] lr: 5.000000e-04 eta: 7:58:54 time: 0.350103 data_time: 0.032196 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.896948 2023/08/08 13:53:11 - mmengine - INFO - Epoch(train) [59][ 70/529] lr: 5.000000e-04 eta: 7:58:50 time: 0.350786 data_time: 0.034831 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.871287 2023/08/08 13:53:14 - mmengine - INFO - Epoch(train) [59][ 80/529] lr: 5.000000e-04 eta: 7:58:46 time: 0.350612 data_time: 0.034276 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.876702 2023/08/08 13:53:18 - mmengine - INFO - Epoch(train) [59][ 90/529] lr: 5.000000e-04 eta: 7:58:42 time: 0.348862 data_time: 0.034264 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.809869 2023/08/08 13:53:21 - mmengine - INFO - Epoch(train) [59][100/529] lr: 5.000000e-04 eta: 7:58:39 time: 0.350202 data_time: 0.034428 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.821219 2023/08/08 13:53:25 - mmengine - INFO - Epoch(train) [59][110/529] lr: 5.000000e-04 eta: 7:58:35 time: 0.351381 data_time: 0.034594 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.872880 2023/08/08 13:53:28 - mmengine - INFO - Epoch(train) [59][120/529] lr: 5.000000e-04 eta: 7:58:31 time: 0.347917 data_time: 0.031093 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.865451 2023/08/08 13:53:32 - mmengine - INFO - Epoch(train) [59][130/529] lr: 5.000000e-04 eta: 7:58:27 time: 0.347375 data_time: 0.031051 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.854574 2023/08/08 13:53:35 - mmengine - INFO - Epoch(train) [59][140/529] lr: 5.000000e-04 eta: 7:58:23 time: 0.346489 data_time: 0.030708 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.889391 2023/08/08 13:53:39 - mmengine - INFO - Epoch(train) [59][150/529] lr: 5.000000e-04 eta: 7:58:19 time: 0.346335 data_time: 0.030832 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.883122 2023/08/08 13:53:42 - mmengine - INFO - Epoch(train) [59][160/529] lr: 5.000000e-04 eta: 7:58:15 time: 0.344254 data_time: 0.030754 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.918420 2023/08/08 13:53:46 - mmengine - INFO - Epoch(train) [59][170/529] lr: 5.000000e-04 eta: 7:58:12 time: 0.346531 data_time: 0.031332 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.877191 2023/08/08 13:53:49 - mmengine - INFO - Epoch(train) [59][180/529] lr: 5.000000e-04 eta: 7:58:08 time: 0.349311 data_time: 0.031513 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.886637 2023/08/08 13:53:53 - mmengine - INFO - Epoch(train) [59][190/529] lr: 5.000000e-04 eta: 7:58:04 time: 0.351290 data_time: 0.031817 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.833969 2023/08/08 13:53:56 - mmengine - INFO - Epoch(train) [59][200/529] lr: 5.000000e-04 eta: 7:58:00 time: 0.350082 data_time: 0.031466 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.858170 2023/08/08 13:54:00 - mmengine - INFO - Epoch(train) [59][210/529] lr: 5.000000e-04 eta: 7:57:56 time: 0.349933 data_time: 0.031303 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.861872 2023/08/08 13:54:03 - mmengine - INFO - Epoch(train) [59][220/529] lr: 5.000000e-04 eta: 7:57:53 time: 0.349652 data_time: 0.031321 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.882160 2023/08/08 13:54:07 - mmengine - INFO - Epoch(train) [59][230/529] lr: 5.000000e-04 eta: 7:57:49 time: 0.350932 data_time: 0.032042 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.851159 2023/08/08 13:54:10 - mmengine - INFO - Epoch(train) [59][240/529] lr: 5.000000e-04 eta: 7:57:46 time: 0.351685 data_time: 0.032415 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.862039 2023/08/08 13:54:14 - mmengine - INFO - Epoch(train) [59][250/529] lr: 5.000000e-04 eta: 7:57:42 time: 0.351727 data_time: 0.032531 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.888339 2023/08/08 13:54:17 - mmengine - INFO - Epoch(train) [59][260/529] lr: 5.000000e-04 eta: 7:57:38 time: 0.352026 data_time: 0.032574 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.791245 2023/08/08 13:54:21 - mmengine - INFO - Epoch(train) [59][270/529] lr: 5.000000e-04 eta: 7:57:34 time: 0.349931 data_time: 0.032017 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.872494 2023/08/08 13:54:24 - mmengine - INFO - Epoch(train) [59][280/529] lr: 5.000000e-04 eta: 7:57:30 time: 0.346380 data_time: 0.031679 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.851618 2023/08/08 13:54:28 - mmengine - INFO - Epoch(train) [59][290/529] lr: 5.000000e-04 eta: 7:57:26 time: 0.344450 data_time: 0.031211 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.853906 2023/08/08 13:54:31 - mmengine - INFO - Epoch(train) [59][300/529] lr: 5.000000e-04 eta: 7:57:23 time: 0.348732 data_time: 0.031797 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.891028 2023/08/08 13:54:35 - mmengine - INFO - Epoch(train) [59][310/529] lr: 5.000000e-04 eta: 7:57:20 time: 0.360490 data_time: 0.031677 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.884003 2023/08/08 13:54:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:54:39 - mmengine - INFO - Epoch(train) [59][320/529] lr: 5.000000e-04 eta: 7:57:18 time: 0.370090 data_time: 0.031601 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.922623 2023/08/08 13:54:43 - mmengine - INFO - Epoch(train) [59][330/529] lr: 5.000000e-04 eta: 7:57:14 time: 0.370344 data_time: 0.031387 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.882201 2023/08/08 13:54:46 - mmengine - INFO - Epoch(train) [59][340/529] lr: 5.000000e-04 eta: 7:57:10 time: 0.370388 data_time: 0.031750 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.916186 2023/08/08 13:54:50 - mmengine - INFO - Epoch(train) [59][350/529] lr: 5.000000e-04 eta: 7:57:06 time: 0.366672 data_time: 0.031885 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.839694 2023/08/08 13:54:53 - mmengine - INFO - Epoch(train) [59][360/529] lr: 5.000000e-04 eta: 7:57:02 time: 0.356880 data_time: 0.032844 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.866276 2023/08/08 13:54:57 - mmengine - INFO - Epoch(train) [59][370/529] lr: 5.000000e-04 eta: 7:56:59 time: 0.351155 data_time: 0.033070 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.819540 2023/08/08 13:55:00 - mmengine - INFO - Epoch(train) [59][380/529] lr: 5.000000e-04 eta: 7:56:55 time: 0.349512 data_time: 0.032724 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.872221 2023/08/08 13:55:04 - mmengine - INFO - Epoch(train) [59][390/529] lr: 5.000000e-04 eta: 7:56:51 time: 0.348729 data_time: 0.032158 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.875644 2023/08/08 13:55:07 - mmengine - INFO - Epoch(train) [59][400/529] lr: 5.000000e-04 eta: 7:56:47 time: 0.348330 data_time: 0.031318 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.858055 2023/08/08 13:55:10 - mmengine - INFO - Epoch(train) [59][410/529] lr: 5.000000e-04 eta: 7:56:43 time: 0.346520 data_time: 0.030501 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.806171 2023/08/08 13:55:14 - mmengine - INFO - Epoch(train) [59][420/529] lr: 5.000000e-04 eta: 7:56:39 time: 0.342984 data_time: 0.030542 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.854550 2023/08/08 13:55:17 - mmengine - INFO - Epoch(train) [59][430/529] lr: 5.000000e-04 eta: 7:56:36 time: 0.346893 data_time: 0.031062 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.892707 2023/08/08 13:55:21 - mmengine - INFO - Epoch(train) [59][440/529] lr: 5.000000e-04 eta: 7:56:32 time: 0.347275 data_time: 0.031239 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.750044 2023/08/08 13:55:24 - mmengine - INFO - Epoch(train) [59][450/529] lr: 5.000000e-04 eta: 7:56:28 time: 0.347032 data_time: 0.031343 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.903189 2023/08/08 13:55:28 - mmengine - INFO - Epoch(train) [59][460/529] lr: 5.000000e-04 eta: 7:56:24 time: 0.346139 data_time: 0.031324 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.845522 2023/08/08 13:55:31 - mmengine - INFO - Epoch(train) [59][470/529] lr: 5.000000e-04 eta: 7:56:20 time: 0.345738 data_time: 0.031519 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.886939 2023/08/08 13:55:35 - mmengine - INFO - Epoch(train) [59][480/529] lr: 5.000000e-04 eta: 7:56:16 time: 0.343407 data_time: 0.031973 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.849438 2023/08/08 13:55:38 - mmengine - INFO - Epoch(train) [59][490/529] lr: 5.000000e-04 eta: 7:56:12 time: 0.344350 data_time: 0.032454 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.876806 2023/08/08 13:55:42 - mmengine - INFO - Epoch(train) [59][500/529] lr: 5.000000e-04 eta: 7:56:08 time: 0.346487 data_time: 0.032978 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.888507 2023/08/08 13:55:45 - mmengine - INFO - Epoch(train) [59][510/529] lr: 5.000000e-04 eta: 7:56:04 time: 0.347014 data_time: 0.033009 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.866871 2023/08/08 13:55:48 - mmengine - INFO - Epoch(train) [59][520/529] lr: 5.000000e-04 eta: 7:56:00 time: 0.346803 data_time: 0.032636 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.857992 2023/08/08 13:55:52 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:55:55 - mmengine - INFO - Epoch(train) [60][ 10/529] lr: 5.000000e-04 eta: 7:55:54 time: 0.352487 data_time: 0.034829 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.861706 2023/08/08 13:55:59 - mmengine - INFO - Epoch(train) [60][ 20/529] lr: 5.000000e-04 eta: 7:55:50 time: 0.352270 data_time: 0.034163 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.824099 2023/08/08 13:56:03 - mmengine - INFO - Epoch(train) [60][ 30/529] lr: 5.000000e-04 eta: 7:55:47 time: 0.356178 data_time: 0.034199 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.834265 2023/08/08 13:56:06 - mmengine - INFO - Epoch(train) [60][ 40/529] lr: 5.000000e-04 eta: 7:55:44 time: 0.361837 data_time: 0.034465 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.812255 2023/08/08 13:56:10 - mmengine - INFO - Epoch(train) [60][ 50/529] lr: 5.000000e-04 eta: 7:55:40 time: 0.362188 data_time: 0.034588 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.797203 2023/08/08 13:56:13 - mmengine - INFO - Epoch(train) [60][ 60/529] lr: 5.000000e-04 eta: 7:55:36 time: 0.356126 data_time: 0.030719 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.822100 2023/08/08 13:56:17 - mmengine - INFO - Epoch(train) [60][ 70/529] lr: 5.000000e-04 eta: 7:55:32 time: 0.355646 data_time: 0.030925 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.922013 2023/08/08 13:56:20 - mmengine - INFO - Epoch(train) [60][ 80/529] lr: 5.000000e-04 eta: 7:55:29 time: 0.356418 data_time: 0.031081 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.856496 2023/08/08 13:56:24 - mmengine - INFO - Epoch(train) [60][ 90/529] lr: 5.000000e-04 eta: 7:55:25 time: 0.353501 data_time: 0.030758 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.835997 2023/08/08 13:56:27 - mmengine - INFO - Epoch(train) [60][100/529] lr: 5.000000e-04 eta: 7:55:21 time: 0.353673 data_time: 0.031007 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.880575 2023/08/08 13:56:31 - mmengine - INFO - Epoch(train) [60][110/529] lr: 5.000000e-04 eta: 7:55:18 time: 0.354881 data_time: 0.030910 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.866586 2023/08/08 13:56:34 - mmengine - INFO - Epoch(train) [60][120/529] lr: 5.000000e-04 eta: 7:55:14 time: 0.355022 data_time: 0.031093 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.796010 2023/08/08 13:56:38 - mmengine - INFO - Epoch(train) [60][130/529] lr: 5.000000e-04 eta: 7:55:10 time: 0.351828 data_time: 0.031027 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.886802 2023/08/08 13:56:42 - mmengine - INFO - Epoch(train) [60][140/529] lr: 5.000000e-04 eta: 7:55:07 time: 0.354222 data_time: 0.031673 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.868991 2023/08/08 13:56:46 - mmengine - INFO - Epoch(train) [60][150/529] lr: 5.000000e-04 eta: 7:55:04 time: 0.361863 data_time: 0.032050 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.911898 2023/08/08 13:56:49 - mmengine - INFO - Epoch(train) [60][160/529] lr: 5.000000e-04 eta: 7:55:01 time: 0.363574 data_time: 0.032427 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.899894 2023/08/08 13:56:53 - mmengine - INFO - Epoch(train) [60][170/529] lr: 5.000000e-04 eta: 7:54:57 time: 0.361517 data_time: 0.032003 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.824079 2023/08/08 13:56:56 - mmengine - INFO - Epoch(train) [60][180/529] lr: 5.000000e-04 eta: 7:54:53 time: 0.363017 data_time: 0.031704 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.833292 2023/08/08 13:57:00 - mmengine - INFO - Epoch(train) [60][190/529] lr: 5.000000e-04 eta: 7:54:49 time: 0.357722 data_time: 0.031049 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.936186 2023/08/08 13:57:03 - mmengine - INFO - Epoch(train) [60][200/529] lr: 5.000000e-04 eta: 7:54:45 time: 0.348415 data_time: 0.030632 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.858724 2023/08/08 13:57:06 - mmengine - INFO - Epoch(train) [60][210/529] lr: 5.000000e-04 eta: 7:54:41 time: 0.345105 data_time: 0.030340 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.930370 2023/08/08 13:57:10 - mmengine - INFO - Epoch(train) [60][220/529] lr: 5.000000e-04 eta: 7:54:37 time: 0.346150 data_time: 0.030487 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.860642 2023/08/08 13:57:13 - mmengine - INFO - Epoch(train) [60][230/529] lr: 5.000000e-04 eta: 7:54:33 time: 0.343916 data_time: 0.031154 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.793933 2023/08/08 13:57:17 - mmengine - INFO - Epoch(train) [60][240/529] lr: 5.000000e-04 eta: 7:54:29 time: 0.344227 data_time: 0.031576 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.867938 2023/08/08 13:57:20 - mmengine - INFO - Epoch(train) [60][250/529] lr: 5.000000e-04 eta: 7:54:25 time: 0.343330 data_time: 0.031901 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.893031 2023/08/08 13:57:24 - mmengine - INFO - Epoch(train) [60][260/529] lr: 5.000000e-04 eta: 7:54:22 time: 0.346369 data_time: 0.032424 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.841146 2023/08/08 13:57:27 - mmengine - INFO - Epoch(train) [60][270/529] lr: 5.000000e-04 eta: 7:54:18 time: 0.346348 data_time: 0.032827 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.884996 2023/08/08 13:57:31 - mmengine - INFO - Epoch(train) [60][280/529] lr: 5.000000e-04 eta: 7:54:14 time: 0.346433 data_time: 0.032393 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.868010 2023/08/08 13:57:34 - mmengine - INFO - Epoch(train) [60][290/529] lr: 5.000000e-04 eta: 7:54:10 time: 0.347536 data_time: 0.032813 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.826455 2023/08/08 13:57:38 - mmengine - INFO - Epoch(train) [60][300/529] lr: 5.000000e-04 eta: 7:54:06 time: 0.348083 data_time: 0.032558 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.834697 2023/08/08 13:57:41 - mmengine - INFO - Epoch(train) [60][310/529] lr: 5.000000e-04 eta: 7:54:02 time: 0.345367 data_time: 0.032246 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.874390 2023/08/08 13:57:44 - mmengine - INFO - Epoch(train) [60][320/529] lr: 5.000000e-04 eta: 7:53:59 time: 0.345784 data_time: 0.031782 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.839091 2023/08/08 13:57:48 - mmengine - INFO - Epoch(train) [60][330/529] lr: 5.000000e-04 eta: 7:53:55 time: 0.345378 data_time: 0.031846 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.878675 2023/08/08 13:57:51 - mmengine - INFO - Epoch(train) [60][340/529] lr: 5.000000e-04 eta: 7:53:51 time: 0.345947 data_time: 0.031445 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.901972 2023/08/08 13:57:55 - mmengine - INFO - Epoch(train) [60][350/529] lr: 5.000000e-04 eta: 7:53:47 time: 0.345883 data_time: 0.031597 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.816434 2023/08/08 13:57:59 - mmengine - INFO - Epoch(train) [60][360/529] lr: 5.000000e-04 eta: 7:53:44 time: 0.355924 data_time: 0.031522 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.847701 2023/08/08 13:58:03 - mmengine - INFO - Epoch(train) [60][370/529] lr: 5.000000e-04 eta: 7:53:42 time: 0.364248 data_time: 0.031412 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.899037 2023/08/08 13:58:07 - mmengine - INFO - Epoch(train) [60][380/529] lr: 5.000000e-04 eta: 7:53:39 time: 0.373404 data_time: 0.031209 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.833909 2023/08/08 13:58:10 - mmengine - INFO - Epoch(train) [60][390/529] lr: 5.000000e-04 eta: 7:53:36 time: 0.380354 data_time: 0.030733 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.810863 2023/08/08 13:58:14 - mmengine - INFO - Epoch(train) [60][400/529] lr: 5.000000e-04 eta: 7:53:32 time: 0.382309 data_time: 0.031204 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.900009 2023/08/08 13:58:17 - mmengine - INFO - Epoch(train) [60][410/529] lr: 5.000000e-04 eta: 7:53:29 time: 0.373678 data_time: 0.031864 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.833659 2023/08/08 13:58:21 - mmengine - INFO - Epoch(train) [60][420/529] lr: 5.000000e-04 eta: 7:53:25 time: 0.365246 data_time: 0.032079 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.851084 2023/08/08 13:58:25 - mmengine - INFO - Epoch(train) [60][430/529] lr: 5.000000e-04 eta: 7:53:21 time: 0.358028 data_time: 0.032025 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.772803 2023/08/08 13:58:28 - mmengine - INFO - Epoch(train) [60][440/529] lr: 5.000000e-04 eta: 7:53:18 time: 0.353215 data_time: 0.035492 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.844858 2023/08/08 13:58:32 - mmengine - INFO - Epoch(train) [60][450/529] lr: 5.000000e-04 eta: 7:53:15 time: 0.359931 data_time: 0.034799 memory: 4565 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.775277 2023/08/08 13:58:35 - mmengine - INFO - Epoch(train) [60][460/529] lr: 5.000000e-04 eta: 7:53:11 time: 0.359842 data_time: 0.034733 memory: 4565 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.868033 2023/08/08 13:58:39 - mmengine - INFO - Epoch(train) [60][470/529] lr: 5.000000e-04 eta: 7:53:07 time: 0.360607 data_time: 0.034605 memory: 4565 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.779209 2023/08/08 13:58:43 - mmengine - INFO - Epoch(train) [60][480/529] lr: 5.000000e-04 eta: 7:53:04 time: 0.361425 data_time: 0.035198 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.860155 2023/08/08 13:58:46 - mmengine - INFO - Epoch(train) [60][490/529] lr: 5.000000e-04 eta: 7:53:00 time: 0.359816 data_time: 0.031822 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.893385 2023/08/08 13:58:50 - mmengine - INFO - Epoch(train) [60][500/529] lr: 5.000000e-04 eta: 7:52:56 time: 0.350707 data_time: 0.032470 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.837246 2023/08/08 13:58:53 - mmengine - INFO - Epoch(train) [60][510/529] lr: 5.000000e-04 eta: 7:52:52 time: 0.349455 data_time: 0.032492 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.871846 2023/08/08 13:58:56 - mmengine - INFO - Epoch(train) [60][520/529] lr: 5.000000e-04 eta: 7:52:48 time: 0.347666 data_time: 0.032773 memory: 4565 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.857101 2023/08/08 13:58:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 13:58:59 - mmengine - INFO - Saving checkpoint at 60 epochs 2023/08/08 13:59:05 - mmengine - INFO - Epoch(val) [60][ 10/127] eta: 0:00:24 time: 0.197281 data_time: 0.012703 memory: 4565 2023/08/08 13:59:07 - mmengine - INFO - Epoch(val) [60][ 20/127] eta: 0:00:21 time: 0.197323 data_time: 0.012720 memory: 1634 2023/08/08 13:59:09 - mmengine - INFO - Epoch(val) [60][ 30/127] eta: 0:00:19 time: 0.197300 data_time: 0.012760 memory: 1634 2023/08/08 13:59:11 - mmengine - INFO - Epoch(val) [60][ 40/127] eta: 0:00:17 time: 0.197324 data_time: 0.012833 memory: 1634 2023/08/08 13:59:13 - mmengine - INFO - Epoch(val) [60][ 50/127] eta: 0:00:15 time: 0.199182 data_time: 0.012978 memory: 1634 2023/08/08 13:59:15 - mmengine - INFO - Epoch(val) [60][ 60/127] eta: 0:00:13 time: 0.196549 data_time: 0.010920 memory: 1634 2023/08/08 13:59:17 - mmengine - INFO - Epoch(val) [60][ 70/127] eta: 0:00:11 time: 0.196478 data_time: 0.010932 memory: 1634 2023/08/08 13:59:19 - mmengine - INFO - Epoch(val) [60][ 80/127] eta: 0:00:09 time: 0.196537 data_time: 0.010984 memory: 1634 2023/08/08 13:59:21 - mmengine - INFO - Epoch(val) [60][ 90/127] eta: 0:00:07 time: 0.196713 data_time: 0.011016 memory: 1634 2023/08/08 13:59:23 - mmengine - INFO - Epoch(val) [60][100/127] eta: 0:00:05 time: 0.196833 data_time: 0.011067 memory: 1634 2023/08/08 13:59:25 - mmengine - INFO - Epoch(val) [60][110/127] eta: 0:00:03 time: 0.196899 data_time: 0.011133 memory: 1634 2023/08/08 13:59:27 - mmengine - INFO - Epoch(val) [60][120/127] eta: 0:00:01 time: 0.197890 data_time: 0.011480 memory: 1634 2023/08/08 13:59:28 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 13:59:28 - mmengine - INFO - Evaluating AUC... 2023/08/08 13:59:29 - mmengine - INFO - Evaluating EPE... 2023/08/08 13:59:29 - mmengine - INFO - Epoch(val) [60][127/127] PCK: 0.981667 AUC: 0.671031 EPE: 11.902755 data_time: 0.011911 time: 0.196784 2023/08/08 13:59:29 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_50.pth is removed 2023/08/08 13:59:31 - mmengine - INFO - The best checkpoint with 0.6710 AUC at 60 epoch is saved to best_AUC_epoch_60.pth. 2023/08/08 13:59:38 - mmengine - INFO - Epoch(train) [61][ 10/529] lr: 5.000000e-04 eta: 7:52:41 time: 0.347076 data_time: 0.036190 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.834241 2023/08/08 13:59:42 - mmengine - INFO - Epoch(train) [61][ 20/529] lr: 5.000000e-04 eta: 7:52:37 time: 0.349040 data_time: 0.035663 memory: 4565 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.857903 2023/08/08 13:59:45 - mmengine - INFO - Epoch(train) [61][ 30/529] lr: 5.000000e-04 eta: 7:52:34 time: 0.349431 data_time: 0.034955 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.836808 2023/08/08 13:59:49 - mmengine - INFO - Epoch(train) [61][ 40/529] lr: 5.000000e-04 eta: 7:52:30 time: 0.348974 data_time: 0.034544 memory: 4565 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.838560 2023/08/08 13:59:52 - mmengine - INFO - Epoch(train) [61][ 50/529] lr: 5.000000e-04 eta: 7:52:26 time: 0.349785 data_time: 0.035028 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.919041 2023/08/08 13:59:56 - mmengine - INFO - Epoch(train) [61][ 60/529] lr: 5.000000e-04 eta: 7:52:22 time: 0.345715 data_time: 0.030895 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.912441 2023/08/08 13:59:59 - mmengine - INFO - Epoch(train) [61][ 70/529] lr: 5.000000e-04 eta: 7:52:18 time: 0.342640 data_time: 0.030772 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.884859 2023/08/08 14:00:02 - mmengine - INFO - Epoch(train) [61][ 80/529] lr: 5.000000e-04 eta: 7:52:14 time: 0.341802 data_time: 0.030627 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.928024 2023/08/08 14:00:06 - mmengine - INFO - Epoch(train) [61][ 90/529] lr: 5.000000e-04 eta: 7:52:10 time: 0.342593 data_time: 0.030579 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.846421 2023/08/08 14:00:09 - mmengine - INFO - Epoch(train) [61][100/529] lr: 5.000000e-04 eta: 7:52:06 time: 0.342972 data_time: 0.030855 memory: 4565 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.809569 2023/08/08 14:00:13 - mmengine - INFO - Epoch(train) [61][110/529] lr: 5.000000e-04 eta: 7:52:02 time: 0.344684 data_time: 0.031778 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.908430 2023/08/08 14:00:16 - mmengine - INFO - Epoch(train) [61][120/529] lr: 5.000000e-04 eta: 7:51:58 time: 0.345328 data_time: 0.032121 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.842561 2023/08/08 14:00:20 - mmengine - INFO - Epoch(train) [61][130/529] lr: 5.000000e-04 eta: 7:51:54 time: 0.345667 data_time: 0.032317 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.880260 2023/08/08 14:00:23 - mmengine - INFO - Epoch(train) [61][140/529] lr: 5.000000e-04 eta: 7:51:50 time: 0.344672 data_time: 0.032331 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.833228 2023/08/08 14:00:27 - mmengine - INFO - Epoch(train) [61][150/529] lr: 5.000000e-04 eta: 7:51:46 time: 0.343321 data_time: 0.031629 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.881700 2023/08/08 14:00:30 - mmengine - INFO - Epoch(train) [61][160/529] lr: 5.000000e-04 eta: 7:51:43 time: 0.347302 data_time: 0.031633 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.884140 2023/08/08 14:00:34 - mmengine - INFO - Epoch(train) [61][170/529] lr: 5.000000e-04 eta: 7:51:39 time: 0.347624 data_time: 0.032361 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.841842 2023/08/08 14:00:37 - mmengine - INFO - Epoch(train) [61][180/529] lr: 5.000000e-04 eta: 7:51:35 time: 0.348634 data_time: 0.032334 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.854067 2023/08/08 14:00:41 - mmengine - INFO - Epoch(train) [61][190/529] lr: 5.000000e-04 eta: 7:51:32 time: 0.349727 data_time: 0.032297 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.848312 2023/08/08 14:00:44 - mmengine - INFO - Epoch(train) [61][200/529] lr: 5.000000e-04 eta: 7:51:28 time: 0.353463 data_time: 0.032307 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.811501 2023/08/08 14:00:48 - mmengine - INFO - Epoch(train) [61][210/529] lr: 5.000000e-04 eta: 7:51:24 time: 0.348344 data_time: 0.031368 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.823818 2023/08/08 14:00:51 - mmengine - INFO - Epoch(train) [61][220/529] lr: 5.000000e-04 eta: 7:51:20 time: 0.348107 data_time: 0.030282 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.846555 2023/08/08 14:00:55 - mmengine - INFO - Epoch(train) [61][230/529] lr: 5.000000e-04 eta: 7:51:16 time: 0.347673 data_time: 0.030453 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.827531 2023/08/08 14:00:58 - mmengine - INFO - Epoch(train) [61][240/529] lr: 5.000000e-04 eta: 7:51:13 time: 0.349757 data_time: 0.030770 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.880028 2023/08/08 14:01:02 - mmengine - INFO - Epoch(train) [61][250/529] lr: 5.000000e-04 eta: 7:51:09 time: 0.347125 data_time: 0.031078 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.893926 2023/08/08 14:01:05 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:01:05 - mmengine - INFO - Epoch(train) [61][260/529] lr: 5.000000e-04 eta: 7:51:05 time: 0.346490 data_time: 0.031160 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.893104 2023/08/08 14:01:08 - mmengine - INFO - Epoch(train) [61][270/529] lr: 5.000000e-04 eta: 7:51:01 time: 0.345264 data_time: 0.031126 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.863216 2023/08/08 14:01:12 - mmengine - INFO - Epoch(train) [61][280/529] lr: 5.000000e-04 eta: 7:50:57 time: 0.344330 data_time: 0.030821 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.833163 2023/08/08 14:01:15 - mmengine - INFO - Epoch(train) [61][290/529] lr: 5.000000e-04 eta: 7:50:53 time: 0.343046 data_time: 0.030685 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.901826 2023/08/08 14:01:19 - mmengine - INFO - Epoch(train) [61][300/529] lr: 5.000000e-04 eta: 7:50:49 time: 0.342369 data_time: 0.030363 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.867107 2023/08/08 14:01:22 - mmengine - INFO - Epoch(train) [61][310/529] lr: 5.000000e-04 eta: 7:50:45 time: 0.344348 data_time: 0.030864 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.881345 2023/08/08 14:01:26 - mmengine - INFO - Epoch(train) [61][320/529] lr: 5.000000e-04 eta: 7:50:42 time: 0.345527 data_time: 0.031436 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.897359 2023/08/08 14:01:29 - mmengine - INFO - Epoch(train) [61][330/529] lr: 5.000000e-04 eta: 7:50:38 time: 0.346033 data_time: 0.031523 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.836374 2023/08/08 14:01:33 - mmengine - INFO - Epoch(train) [61][340/529] lr: 5.000000e-04 eta: 7:50:34 time: 0.344374 data_time: 0.031410 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.770555 2023/08/08 14:01:36 - mmengine - INFO - Epoch(train) [61][350/529] lr: 5.000000e-04 eta: 7:50:30 time: 0.344118 data_time: 0.031636 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.813271 2023/08/08 14:01:39 - mmengine - INFO - Epoch(train) [61][360/529] lr: 5.000000e-04 eta: 7:50:26 time: 0.343026 data_time: 0.031463 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.784309 2023/08/08 14:01:43 - mmengine - INFO - Epoch(train) [61][370/529] lr: 5.000000e-04 eta: 7:50:22 time: 0.346659 data_time: 0.031073 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.822118 2023/08/08 14:01:47 - mmengine - INFO - Epoch(train) [61][380/529] lr: 5.000000e-04 eta: 7:50:19 time: 0.349235 data_time: 0.031704 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.866287 2023/08/08 14:01:50 - mmengine - INFO - Epoch(train) [61][390/529] lr: 5.000000e-04 eta: 7:50:15 time: 0.350181 data_time: 0.032856 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.839617 2023/08/08 14:01:54 - mmengine - INFO - Epoch(train) [61][400/529] lr: 5.000000e-04 eta: 7:50:11 time: 0.350956 data_time: 0.034025 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.872504 2023/08/08 14:01:57 - mmengine - INFO - Epoch(train) [61][410/529] lr: 5.000000e-04 eta: 7:50:07 time: 0.350987 data_time: 0.034622 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.919612 2023/08/08 14:02:01 - mmengine - INFO - Epoch(train) [61][420/529] lr: 5.000000e-04 eta: 7:50:04 time: 0.351824 data_time: 0.035866 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.890582 2023/08/08 14:02:04 - mmengine - INFO - Epoch(train) [61][430/529] lr: 5.000000e-04 eta: 7:50:00 time: 0.350686 data_time: 0.036526 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.840655 2023/08/08 14:02:08 - mmengine - INFO - Epoch(train) [61][440/529] lr: 5.000000e-04 eta: 7:49:56 time: 0.351937 data_time: 0.036630 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.882807 2023/08/08 14:02:11 - mmengine - INFO - Epoch(train) [61][450/529] lr: 5.000000e-04 eta: 7:49:53 time: 0.351972 data_time: 0.035276 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.868882 2023/08/08 14:02:15 - mmengine - INFO - Epoch(train) [61][460/529] lr: 5.000000e-04 eta: 7:49:49 time: 0.351729 data_time: 0.034327 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.884963 2023/08/08 14:02:18 - mmengine - INFO - Epoch(train) [61][470/529] lr: 5.000000e-04 eta: 7:49:45 time: 0.347353 data_time: 0.032929 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.824114 2023/08/08 14:02:21 - mmengine - INFO - Epoch(train) [61][480/529] lr: 5.000000e-04 eta: 7:49:41 time: 0.346188 data_time: 0.031559 memory: 4565 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.915029 2023/08/08 14:02:25 - mmengine - INFO - Epoch(train) [61][490/529] lr: 5.000000e-04 eta: 7:49:37 time: 0.345984 data_time: 0.030809 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.874962 2023/08/08 14:02:28 - mmengine - INFO - Epoch(train) [61][500/529] lr: 5.000000e-04 eta: 7:49:33 time: 0.345788 data_time: 0.031043 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.872921 2023/08/08 14:02:32 - mmengine - INFO - Epoch(train) [61][510/529] lr: 5.000000e-04 eta: 7:49:29 time: 0.346052 data_time: 0.031578 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.861670 2023/08/08 14:02:35 - mmengine - INFO - Epoch(train) [61][520/529] lr: 5.000000e-04 eta: 7:49:26 time: 0.348144 data_time: 0.031593 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.829919 2023/08/08 14:02:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:02:42 - mmengine - INFO - Epoch(train) [62][ 10/529] lr: 5.000000e-04 eta: 7:49:19 time: 0.355104 data_time: 0.034852 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.892697 2023/08/08 14:02:46 - mmengine - INFO - Epoch(train) [62][ 20/529] lr: 5.000000e-04 eta: 7:49:16 time: 0.357540 data_time: 0.034850 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.865289 2023/08/08 14:02:50 - mmengine - INFO - Epoch(train) [62][ 30/529] lr: 5.000000e-04 eta: 7:49:13 time: 0.367041 data_time: 0.034959 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.813771 2023/08/08 14:02:54 - mmengine - INFO - Epoch(train) [62][ 40/529] lr: 5.000000e-04 eta: 7:49:10 time: 0.374888 data_time: 0.035615 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.832658 2023/08/08 14:02:57 - mmengine - INFO - Epoch(train) [62][ 50/529] lr: 5.000000e-04 eta: 7:49:07 time: 0.372725 data_time: 0.035932 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.782480 2023/08/08 14:03:01 - mmengine - INFO - Epoch(train) [62][ 60/529] lr: 5.000000e-04 eta: 7:49:03 time: 0.373107 data_time: 0.031925 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.872521 2023/08/08 14:03:05 - mmengine - INFO - Epoch(train) [62][ 70/529] lr: 5.000000e-04 eta: 7:49:00 time: 0.371686 data_time: 0.031827 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.846664 2023/08/08 14:03:08 - mmengine - INFO - Epoch(train) [62][ 80/529] lr: 5.000000e-04 eta: 7:48:56 time: 0.364118 data_time: 0.031310 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.766669 2023/08/08 14:03:12 - mmengine - INFO - Epoch(train) [62][ 90/529] lr: 5.000000e-04 eta: 7:48:53 time: 0.363605 data_time: 0.034525 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.887937 2023/08/08 14:03:16 - mmengine - INFO - Epoch(train) [62][100/529] lr: 5.000000e-04 eta: 7:48:50 time: 0.363692 data_time: 0.034750 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.800063 2023/08/08 14:03:19 - mmengine - INFO - Epoch(train) [62][110/529] lr: 5.000000e-04 eta: 7:48:47 time: 0.368248 data_time: 0.034684 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.833187 2023/08/08 14:03:23 - mmengine - INFO - Epoch(train) [62][120/529] lr: 5.000000e-04 eta: 7:48:44 time: 0.375968 data_time: 0.034485 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.892450 2023/08/08 14:03:27 - mmengine - INFO - Epoch(train) [62][130/529] lr: 5.000000e-04 eta: 7:48:41 time: 0.382644 data_time: 0.034289 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.839363 2023/08/08 14:03:31 - mmengine - INFO - Epoch(train) [62][140/529] lr: 5.000000e-04 eta: 7:48:39 time: 0.384571 data_time: 0.030614 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.832805 2023/08/08 14:03:35 - mmengine - INFO - Epoch(train) [62][150/529] lr: 5.000000e-04 eta: 7:48:35 time: 0.383416 data_time: 0.030598 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.810081 2023/08/08 14:03:38 - mmengine - INFO - Epoch(train) [62][160/529] lr: 5.000000e-04 eta: 7:48:32 time: 0.380667 data_time: 0.031217 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.897522 2023/08/08 14:03:42 - mmengine - INFO - Epoch(train) [62][170/529] lr: 5.000000e-04 eta: 7:48:28 time: 0.372726 data_time: 0.031418 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.880144 2023/08/08 14:03:45 - mmengine - INFO - Epoch(train) [62][180/529] lr: 5.000000e-04 eta: 7:48:24 time: 0.364348 data_time: 0.031472 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.903091 2023/08/08 14:03:49 - mmengine - INFO - Epoch(train) [62][190/529] lr: 5.000000e-04 eta: 7:48:20 time: 0.354925 data_time: 0.031306 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.863108 2023/08/08 14:03:53 - mmengine - INFO - Epoch(train) [62][200/529] lr: 5.000000e-04 eta: 7:48:17 time: 0.356796 data_time: 0.031192 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.825040 2023/08/08 14:03:56 - mmengine - INFO - Epoch(train) [62][210/529] lr: 5.000000e-04 eta: 7:48:13 time: 0.352001 data_time: 0.030697 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.799899 2023/08/08 14:04:00 - mmengine - INFO - Epoch(train) [62][220/529] lr: 5.000000e-04 eta: 7:48:10 time: 0.352767 data_time: 0.030658 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.887348 2023/08/08 14:04:04 - mmengine - INFO - Epoch(train) [62][230/529] lr: 5.000000e-04 eta: 7:48:07 time: 0.361052 data_time: 0.031242 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.899752 2023/08/08 14:04:07 - mmengine - INFO - Epoch(train) [62][240/529] lr: 5.000000e-04 eta: 7:48:03 time: 0.362773 data_time: 0.032151 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.847359 2023/08/08 14:04:11 - mmengine - INFO - Epoch(train) [62][250/529] lr: 5.000000e-04 eta: 7:48:00 time: 0.361293 data_time: 0.032560 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.801498 2023/08/08 14:04:14 - mmengine - INFO - Epoch(train) [62][260/529] lr: 5.000000e-04 eta: 7:47:56 time: 0.360881 data_time: 0.032472 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.838936 2023/08/08 14:04:18 - mmengine - INFO - Epoch(train) [62][270/529] lr: 5.000000e-04 eta: 7:47:52 time: 0.361134 data_time: 0.033162 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.871506 2023/08/08 14:04:21 - mmengine - INFO - Epoch(train) [62][280/529] lr: 5.000000e-04 eta: 7:47:49 time: 0.356963 data_time: 0.032779 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.830070 2023/08/08 14:04:25 - mmengine - INFO - Epoch(train) [62][290/529] lr: 5.000000e-04 eta: 7:47:46 time: 0.358629 data_time: 0.032510 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.855955 2023/08/08 14:04:29 - mmengine - INFO - Epoch(train) [62][300/529] lr: 5.000000e-04 eta: 7:47:42 time: 0.357662 data_time: 0.032059 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.841483 2023/08/08 14:04:32 - mmengine - INFO - Epoch(train) [62][310/529] lr: 5.000000e-04 eta: 7:47:38 time: 0.357022 data_time: 0.031997 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.859696 2023/08/08 14:04:36 - mmengine - INFO - Epoch(train) [62][320/529] lr: 5.000000e-04 eta: 7:47:34 time: 0.356198 data_time: 0.031260 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.833826 2023/08/08 14:04:39 - mmengine - INFO - Epoch(train) [62][330/529] lr: 5.000000e-04 eta: 7:47:31 time: 0.356181 data_time: 0.031188 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.811041 2023/08/08 14:04:43 - mmengine - INFO - Epoch(train) [62][340/529] lr: 5.000000e-04 eta: 7:47:27 time: 0.354011 data_time: 0.030707 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.893352 2023/08/08 14:04:46 - mmengine - INFO - Epoch(train) [62][350/529] lr: 5.000000e-04 eta: 7:47:24 time: 0.355782 data_time: 0.031079 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.822283 2023/08/08 14:04:50 - mmengine - INFO - Epoch(train) [62][360/529] lr: 5.000000e-04 eta: 7:47:20 time: 0.357054 data_time: 0.031360 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.835600 2023/08/08 14:04:53 - mmengine - INFO - Epoch(train) [62][370/529] lr: 5.000000e-04 eta: 7:47:16 time: 0.357799 data_time: 0.031561 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.822063 2023/08/08 14:04:57 - mmengine - INFO - Epoch(train) [62][380/529] lr: 5.000000e-04 eta: 7:47:13 time: 0.353852 data_time: 0.031449 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.837862 2023/08/08 14:05:01 - mmengine - INFO - Epoch(train) [62][390/529] lr: 5.000000e-04 eta: 7:47:09 time: 0.357481 data_time: 0.031627 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.821539 2023/08/08 14:05:04 - mmengine - INFO - Epoch(train) [62][400/529] lr: 5.000000e-04 eta: 7:47:06 time: 0.357742 data_time: 0.031645 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.884217 2023/08/08 14:05:08 - mmengine - INFO - Epoch(train) [62][410/529] lr: 5.000000e-04 eta: 7:47:02 time: 0.358028 data_time: 0.031525 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.818315 2023/08/08 14:05:11 - mmengine - INFO - Epoch(train) [62][420/529] lr: 5.000000e-04 eta: 7:46:59 time: 0.358889 data_time: 0.031463 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.806382 2023/08/08 14:05:15 - mmengine - INFO - Epoch(train) [62][430/529] lr: 5.000000e-04 eta: 7:46:55 time: 0.359682 data_time: 0.031567 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.827469 2023/08/08 14:05:18 - mmengine - INFO - Epoch(train) [62][440/529] lr: 5.000000e-04 eta: 7:46:51 time: 0.355453 data_time: 0.031430 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.905645 2023/08/08 14:05:22 - mmengine - INFO - Epoch(train) [62][450/529] lr: 5.000000e-04 eta: 7:46:48 time: 0.353347 data_time: 0.031094 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.840706 2023/08/08 14:05:26 - mmengine - INFO - Epoch(train) [62][460/529] lr: 5.000000e-04 eta: 7:46:44 time: 0.355569 data_time: 0.031178 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.862844 2023/08/08 14:05:29 - mmengine - INFO - Epoch(train) [62][470/529] lr: 5.000000e-04 eta: 7:46:41 time: 0.356822 data_time: 0.031562 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.893512 2023/08/08 14:05:33 - mmengine - INFO - Epoch(train) [62][480/529] lr: 5.000000e-04 eta: 7:46:37 time: 0.358417 data_time: 0.031802 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.853590 2023/08/08 14:05:36 - mmengine - INFO - Epoch(train) [62][490/529] lr: 5.000000e-04 eta: 7:46:34 time: 0.361547 data_time: 0.032266 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.854426 2023/08/08 14:05:40 - mmengine - INFO - Epoch(train) [62][500/529] lr: 5.000000e-04 eta: 7:46:31 time: 0.365167 data_time: 0.032290 memory: 4565 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.811807 2023/08/08 14:05:44 - mmengine - INFO - Epoch(train) [62][510/529] lr: 5.000000e-04 eta: 7:46:27 time: 0.362887 data_time: 0.032097 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.887141 2023/08/08 14:05:47 - mmengine - INFO - Epoch(train) [62][520/529] lr: 5.000000e-04 eta: 7:46:23 time: 0.361629 data_time: 0.031661 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.920437 2023/08/08 14:05:51 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:05:54 - mmengine - INFO - Epoch(train) [63][ 10/529] lr: 5.000000e-04 eta: 7:46:17 time: 0.361874 data_time: 0.034609 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.874321 2023/08/08 14:05:58 - mmengine - INFO - Epoch(train) [63][ 20/529] lr: 5.000000e-04 eta: 7:46:13 time: 0.358867 data_time: 0.035425 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.891415 2023/08/08 14:06:01 - mmengine - INFO - Epoch(train) [63][ 30/529] lr: 5.000000e-04 eta: 7:46:10 time: 0.357726 data_time: 0.036218 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.851115 2023/08/08 14:06:05 - mmengine - INFO - Epoch(train) [63][ 40/529] lr: 5.000000e-04 eta: 7:46:06 time: 0.354375 data_time: 0.036929 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.912131 2023/08/08 14:06:08 - mmengine - INFO - Epoch(train) [63][ 50/529] lr: 5.000000e-04 eta: 7:46:02 time: 0.350541 data_time: 0.037783 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.842318 2023/08/08 14:06:12 - mmengine - INFO - Epoch(train) [63][ 60/529] lr: 5.000000e-04 eta: 7:45:58 time: 0.349800 data_time: 0.035745 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.871847 2023/08/08 14:06:16 - mmengine - INFO - Epoch(train) [63][ 70/529] lr: 5.000000e-04 eta: 7:45:55 time: 0.356094 data_time: 0.035978 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.872103 2023/08/08 14:06:19 - mmengine - INFO - Epoch(train) [63][ 80/529] lr: 5.000000e-04 eta: 7:45:52 time: 0.359063 data_time: 0.035448 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.867897 2023/08/08 14:06:23 - mmengine - INFO - Epoch(train) [63][ 90/529] lr: 5.000000e-04 eta: 7:45:48 time: 0.358593 data_time: 0.034635 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.814570 2023/08/08 14:06:26 - mmengine - INFO - Epoch(train) [63][100/529] lr: 5.000000e-04 eta: 7:45:44 time: 0.358582 data_time: 0.034366 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.862628 2023/08/08 14:06:29 - mmengine - INFO - Epoch(train) [63][110/529] lr: 5.000000e-04 eta: 7:45:40 time: 0.354412 data_time: 0.032363 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.842236 2023/08/08 14:06:33 - mmengine - INFO - Epoch(train) [63][120/529] lr: 5.000000e-04 eta: 7:45:36 time: 0.346938 data_time: 0.031350 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.862930 2023/08/08 14:06:37 - mmengine - INFO - Epoch(train) [63][130/529] lr: 5.000000e-04 eta: 7:45:33 time: 0.345549 data_time: 0.031759 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.798451 2023/08/08 14:06:40 - mmengine - INFO - Epoch(train) [63][140/529] lr: 5.000000e-04 eta: 7:45:29 time: 0.347044 data_time: 0.032357 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.890826 2023/08/08 14:06:43 - mmengine - INFO - Epoch(train) [63][150/529] lr: 5.000000e-04 eta: 7:45:25 time: 0.347507 data_time: 0.031958 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.855987 2023/08/08 14:06:47 - mmengine - INFO - Epoch(train) [63][160/529] lr: 5.000000e-04 eta: 7:45:21 time: 0.347513 data_time: 0.031971 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.810667 2023/08/08 14:06:50 - mmengine - INFO - Epoch(train) [63][170/529] lr: 5.000000e-04 eta: 7:45:17 time: 0.346705 data_time: 0.031725 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.885196 2023/08/08 14:06:54 - mmengine - INFO - Epoch(train) [63][180/529] lr: 5.000000e-04 eta: 7:45:13 time: 0.343487 data_time: 0.030912 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.888523 2023/08/08 14:06:57 - mmengine - INFO - Epoch(train) [63][190/529] lr: 5.000000e-04 eta: 7:45:09 time: 0.343363 data_time: 0.030315 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.868810 2023/08/08 14:07:01 - mmengine - INFO - Epoch(train) [63][200/529] lr: 5.000000e-04 eta: 7:45:05 time: 0.342990 data_time: 0.030225 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.871186 2023/08/08 14:07:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:07:04 - mmengine - INFO - Epoch(train) [63][210/529] lr: 5.000000e-04 eta: 7:45:02 time: 0.345287 data_time: 0.030552 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.840665 2023/08/08 14:07:08 - mmengine - INFO - Epoch(train) [63][220/529] lr: 5.000000e-04 eta: 7:44:58 time: 0.345550 data_time: 0.030650 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.794323 2023/08/08 14:07:11 - mmengine - INFO - Epoch(train) [63][230/529] lr: 5.000000e-04 eta: 7:44:54 time: 0.345467 data_time: 0.030657 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.867914 2023/08/08 14:07:14 - mmengine - INFO - Epoch(train) [63][240/529] lr: 5.000000e-04 eta: 7:44:50 time: 0.344938 data_time: 0.030597 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.893072 2023/08/08 14:07:18 - mmengine - INFO - Epoch(train) [63][250/529] lr: 5.000000e-04 eta: 7:44:46 time: 0.348356 data_time: 0.030671 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.875743 2023/08/08 14:07:22 - mmengine - INFO - Epoch(train) [63][260/529] lr: 5.000000e-04 eta: 7:44:43 time: 0.351526 data_time: 0.034527 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.873753 2023/08/08 14:07:25 - mmengine - INFO - Epoch(train) [63][270/529] lr: 5.000000e-04 eta: 7:44:39 time: 0.351560 data_time: 0.034816 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.841018 2023/08/08 14:07:29 - mmengine - INFO - Epoch(train) [63][280/529] lr: 5.000000e-04 eta: 7:44:35 time: 0.352505 data_time: 0.035011 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.862303 2023/08/08 14:07:32 - mmengine - INFO - Epoch(train) [63][290/529] lr: 5.000000e-04 eta: 7:44:31 time: 0.351924 data_time: 0.035070 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.855213 2023/08/08 14:07:35 - mmengine - INFO - Epoch(train) [63][300/529] lr: 5.000000e-04 eta: 7:44:27 time: 0.348035 data_time: 0.034941 memory: 4565 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.873962 2023/08/08 14:07:39 - mmengine - INFO - Epoch(train) [63][310/529] lr: 5.000000e-04 eta: 7:44:23 time: 0.342642 data_time: 0.030807 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.900451 2023/08/08 14:07:42 - mmengine - INFO - Epoch(train) [63][320/529] lr: 5.000000e-04 eta: 7:44:20 time: 0.343621 data_time: 0.030815 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.831321 2023/08/08 14:07:46 - mmengine - INFO - Epoch(train) [63][330/529] lr: 5.000000e-04 eta: 7:44:16 time: 0.343541 data_time: 0.031406 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.881682 2023/08/08 14:07:49 - mmengine - INFO - Epoch(train) [63][340/529] lr: 5.000000e-04 eta: 7:44:12 time: 0.345356 data_time: 0.031864 memory: 4565 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.886017 2023/08/08 14:07:53 - mmengine - INFO - Epoch(train) [63][350/529] lr: 5.000000e-04 eta: 7:44:08 time: 0.347175 data_time: 0.031984 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.873661 2023/08/08 14:07:56 - mmengine - INFO - Epoch(train) [63][360/529] lr: 5.000000e-04 eta: 7:44:04 time: 0.347801 data_time: 0.032026 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.837896 2023/08/08 14:08:00 - mmengine - INFO - Epoch(train) [63][370/529] lr: 5.000000e-04 eta: 7:44:01 time: 0.347302 data_time: 0.031668 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.864406 2023/08/08 14:08:03 - mmengine - INFO - Epoch(train) [63][380/529] lr: 5.000000e-04 eta: 7:43:57 time: 0.347159 data_time: 0.030873 memory: 4565 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.866698 2023/08/08 14:08:07 - mmengine - INFO - Epoch(train) [63][390/529] lr: 5.000000e-04 eta: 7:43:53 time: 0.350077 data_time: 0.030736 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.872607 2023/08/08 14:08:10 - mmengine - INFO - Epoch(train) [63][400/529] lr: 5.000000e-04 eta: 7:43:50 time: 0.350228 data_time: 0.030911 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.826181 2023/08/08 14:08:14 - mmengine - INFO - Epoch(train) [63][410/529] lr: 5.000000e-04 eta: 7:43:46 time: 0.353696 data_time: 0.031982 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.853654 2023/08/08 14:08:17 - mmengine - INFO - Epoch(train) [63][420/529] lr: 5.000000e-04 eta: 7:43:42 time: 0.354117 data_time: 0.032188 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.870873 2023/08/08 14:08:21 - mmengine - INFO - Epoch(train) [63][430/529] lr: 5.000000e-04 eta: 7:43:39 time: 0.356945 data_time: 0.032313 memory: 4565 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.897515 2023/08/08 14:08:24 - mmengine - INFO - Epoch(train) [63][440/529] lr: 5.000000e-04 eta: 7:43:35 time: 0.352964 data_time: 0.031972 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.836234 2023/08/08 14:08:28 - mmengine - INFO - Epoch(train) [63][450/529] lr: 5.000000e-04 eta: 7:43:32 time: 0.358799 data_time: 0.032561 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.861941 2023/08/08 14:08:32 - mmengine - INFO - Epoch(train) [63][460/529] lr: 5.000000e-04 eta: 7:43:30 time: 0.368329 data_time: 0.035404 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.885488 2023/08/08 14:08:36 - mmengine - INFO - Epoch(train) [63][470/529] lr: 5.000000e-04 eta: 7:43:26 time: 0.369531 data_time: 0.036089 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.864047 2023/08/08 14:08:39 - mmengine - INFO - Epoch(train) [63][480/529] lr: 5.000000e-04 eta: 7:43:22 time: 0.366458 data_time: 0.036824 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.889622 2023/08/08 14:08:43 - mmengine - INFO - Epoch(train) [63][490/529] lr: 5.000000e-04 eta: 7:43:18 time: 0.366624 data_time: 0.037709 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.818848 2023/08/08 14:08:46 - mmengine - INFO - Epoch(train) [63][500/529] lr: 5.000000e-04 eta: 7:43:14 time: 0.358956 data_time: 0.037024 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.859643 2023/08/08 14:08:50 - mmengine - INFO - Epoch(train) [63][510/529] lr: 5.000000e-04 eta: 7:43:10 time: 0.345792 data_time: 0.033208 memory: 4565 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.832650 2023/08/08 14:08:53 - mmengine - INFO - Epoch(train) [63][520/529] lr: 5.000000e-04 eta: 7:43:07 time: 0.345022 data_time: 0.032933 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.838994 2023/08/08 14:08:56 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:09:00 - mmengine - INFO - Epoch(train) [64][ 10/529] lr: 5.000000e-04 eta: 7:43:00 time: 0.350943 data_time: 0.035696 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.902944 2023/08/08 14:09:03 - mmengine - INFO - Epoch(train) [64][ 20/529] lr: 5.000000e-04 eta: 7:42:56 time: 0.351699 data_time: 0.035547 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.868825 2023/08/08 14:09:07 - mmengine - INFO - Epoch(train) [64][ 30/529] lr: 5.000000e-04 eta: 7:42:52 time: 0.353099 data_time: 0.035599 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.782770 2023/08/08 14:09:10 - mmengine - INFO - Epoch(train) [64][ 40/529] lr: 5.000000e-04 eta: 7:42:49 time: 0.352189 data_time: 0.035188 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.915377 2023/08/08 14:09:14 - mmengine - INFO - Epoch(train) [64][ 50/529] lr: 5.000000e-04 eta: 7:42:45 time: 0.356136 data_time: 0.035413 memory: 4565 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.881938 2023/08/08 14:09:18 - mmengine - INFO - Epoch(train) [64][ 60/529] lr: 5.000000e-04 eta: 7:42:42 time: 0.355981 data_time: 0.030852 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.857767 2023/08/08 14:09:21 - mmengine - INFO - Epoch(train) [64][ 70/529] lr: 5.000000e-04 eta: 7:42:39 time: 0.359817 data_time: 0.031072 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.839246 2023/08/08 14:09:25 - mmengine - INFO - Epoch(train) [64][ 80/529] lr: 5.000000e-04 eta: 7:42:35 time: 0.357993 data_time: 0.031264 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.932838 2023/08/08 14:09:28 - mmengine - INFO - Epoch(train) [64][ 90/529] lr: 5.000000e-04 eta: 7:42:31 time: 0.359513 data_time: 0.031139 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.839033 2023/08/08 14:09:32 - mmengine - INFO - Epoch(train) [64][100/529] lr: 5.000000e-04 eta: 7:42:27 time: 0.356143 data_time: 0.031346 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.795549 2023/08/08 14:09:35 - mmengine - INFO - Epoch(train) [64][110/529] lr: 5.000000e-04 eta: 7:42:23 time: 0.348043 data_time: 0.031674 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.875022 2023/08/08 14:09:39 - mmengine - INFO - Epoch(train) [64][120/529] lr: 5.000000e-04 eta: 7:42:19 time: 0.345693 data_time: 0.031726 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.899640 2023/08/08 14:09:42 - mmengine - INFO - Epoch(train) [64][130/529] lr: 5.000000e-04 eta: 7:42:16 time: 0.347006 data_time: 0.031536 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.789160 2023/08/08 14:09:46 - mmengine - INFO - Epoch(train) [64][140/529] lr: 5.000000e-04 eta: 7:42:12 time: 0.347892 data_time: 0.031950 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.830377 2023/08/08 14:09:49 - mmengine - INFO - Epoch(train) [64][150/529] lr: 5.000000e-04 eta: 7:42:08 time: 0.348623 data_time: 0.031865 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.862375 2023/08/08 14:09:53 - mmengine - INFO - Epoch(train) [64][160/529] lr: 5.000000e-04 eta: 7:42:04 time: 0.349489 data_time: 0.032061 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.903412 2023/08/08 14:09:56 - mmengine - INFO - Epoch(train) [64][170/529] lr: 5.000000e-04 eta: 7:42:01 time: 0.352463 data_time: 0.035770 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.900355 2023/08/08 14:10:00 - mmengine - INFO - Epoch(train) [64][180/529] lr: 5.000000e-04 eta: 7:41:57 time: 0.354656 data_time: 0.036013 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.828653 2023/08/08 14:10:03 - mmengine - INFO - Epoch(train) [64][190/529] lr: 5.000000e-04 eta: 7:41:54 time: 0.352929 data_time: 0.036728 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.880735 2023/08/08 14:10:07 - mmengine - INFO - Epoch(train) [64][200/529] lr: 5.000000e-04 eta: 7:41:50 time: 0.354686 data_time: 0.037117 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.907228 2023/08/08 14:10:10 - mmengine - INFO - Epoch(train) [64][210/529] lr: 5.000000e-04 eta: 7:41:46 time: 0.354791 data_time: 0.036760 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.899135 2023/08/08 14:10:14 - mmengine - INFO - Epoch(train) [64][220/529] lr: 5.000000e-04 eta: 7:41:42 time: 0.350615 data_time: 0.032873 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.840550 2023/08/08 14:10:17 - mmengine - INFO - Epoch(train) [64][230/529] lr: 5.000000e-04 eta: 7:41:39 time: 0.348189 data_time: 0.032523 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.858794 2023/08/08 14:10:21 - mmengine - INFO - Epoch(train) [64][240/529] lr: 5.000000e-04 eta: 7:41:35 time: 0.347755 data_time: 0.031416 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.881813 2023/08/08 14:10:24 - mmengine - INFO - Epoch(train) [64][250/529] lr: 5.000000e-04 eta: 7:41:31 time: 0.346664 data_time: 0.030876 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.830343 2023/08/08 14:10:28 - mmengine - INFO - Epoch(train) [64][260/529] lr: 5.000000e-04 eta: 7:41:27 time: 0.346948 data_time: 0.030868 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.869568 2023/08/08 14:10:31 - mmengine - INFO - Epoch(train) [64][270/529] lr: 5.000000e-04 eta: 7:41:24 time: 0.349928 data_time: 0.030741 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.895607 2023/08/08 14:10:35 - mmengine - INFO - Epoch(train) [64][280/529] lr: 5.000000e-04 eta: 7:41:20 time: 0.348969 data_time: 0.030739 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.912708 2023/08/08 14:10:38 - mmengine - INFO - Epoch(train) [64][290/529] lr: 5.000000e-04 eta: 7:41:16 time: 0.348382 data_time: 0.030782 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.852007 2023/08/08 14:10:42 - mmengine - INFO - Epoch(train) [64][300/529] lr: 5.000000e-04 eta: 7:41:12 time: 0.347507 data_time: 0.031036 memory: 4565 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.905163 2023/08/08 14:10:45 - mmengine - INFO - Epoch(train) [64][310/529] lr: 5.000000e-04 eta: 7:41:08 time: 0.348045 data_time: 0.031319 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.874447 2023/08/08 14:10:49 - mmengine - INFO - Epoch(train) [64][320/529] lr: 5.000000e-04 eta: 7:41:04 time: 0.345418 data_time: 0.031330 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.893721 2023/08/08 14:10:52 - mmengine - INFO - Epoch(train) [64][330/529] lr: 5.000000e-04 eta: 7:41:01 time: 0.347558 data_time: 0.031581 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.881550 2023/08/08 14:10:56 - mmengine - INFO - Epoch(train) [64][340/529] lr: 5.000000e-04 eta: 7:40:57 time: 0.347677 data_time: 0.031527 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.878600 2023/08/08 14:10:59 - mmengine - INFO - Epoch(train) [64][350/529] lr: 5.000000e-04 eta: 7:40:53 time: 0.347819 data_time: 0.031104 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.859714 2023/08/08 14:11:03 - mmengine - INFO - Epoch(train) [64][360/529] lr: 5.000000e-04 eta: 7:40:49 time: 0.346975 data_time: 0.030653 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.769171 2023/08/08 14:11:06 - mmengine - INFO - Epoch(train) [64][370/529] lr: 5.000000e-04 eta: 7:40:45 time: 0.345751 data_time: 0.030587 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.857983 2023/08/08 14:11:09 - mmengine - INFO - Epoch(train) [64][380/529] lr: 5.000000e-04 eta: 7:40:42 time: 0.345423 data_time: 0.030559 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.838730 2023/08/08 14:11:13 - mmengine - INFO - Epoch(train) [64][390/529] lr: 5.000000e-04 eta: 7:40:38 time: 0.346007 data_time: 0.030673 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.857938 2023/08/08 14:11:16 - mmengine - INFO - Epoch(train) [64][400/529] lr: 5.000000e-04 eta: 7:40:34 time: 0.346942 data_time: 0.031380 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.856334 2023/08/08 14:11:20 - mmengine - INFO - Epoch(train) [64][410/529] lr: 5.000000e-04 eta: 7:40:30 time: 0.345939 data_time: 0.031521 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.883076 2023/08/08 14:11:23 - mmengine - INFO - Epoch(train) [64][420/529] lr: 5.000000e-04 eta: 7:40:26 time: 0.347236 data_time: 0.032283 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.808854 2023/08/08 14:11:27 - mmengine - INFO - Epoch(train) [64][430/529] lr: 5.000000e-04 eta: 7:40:23 time: 0.349661 data_time: 0.036676 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.841334 2023/08/08 14:11:31 - mmengine - INFO - Epoch(train) [64][440/529] lr: 5.000000e-04 eta: 7:40:20 time: 0.360764 data_time: 0.037381 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.866431 2023/08/08 14:11:35 - mmengine - INFO - Epoch(train) [64][450/529] lr: 5.000000e-04 eta: 7:40:17 time: 0.368586 data_time: 0.038367 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.830163 2023/08/08 14:11:38 - mmengine - INFO - Epoch(train) [64][460/529] lr: 5.000000e-04 eta: 7:40:14 time: 0.372716 data_time: 0.039279 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.852610 2023/08/08 14:11:42 - mmengine - INFO - Epoch(train) [64][470/529] lr: 5.000000e-04 eta: 7:40:10 time: 0.372348 data_time: 0.039380 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.871623 2023/08/08 14:11:45 - mmengine - INFO - Epoch(train) [64][480/529] lr: 5.000000e-04 eta: 7:40:06 time: 0.370097 data_time: 0.035474 memory: 4565 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.843598 2023/08/08 14:11:49 - mmengine - INFO - Epoch(train) [64][490/529] lr: 5.000000e-04 eta: 7:40:03 time: 0.358062 data_time: 0.035086 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.878185 2023/08/08 14:11:52 - mmengine - INFO - Epoch(train) [64][500/529] lr: 5.000000e-04 eta: 7:39:59 time: 0.350263 data_time: 0.033678 memory: 4565 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.826712 2023/08/08 14:11:56 - mmengine - INFO - Epoch(train) [64][510/529] lr: 5.000000e-04 eta: 7:39:55 time: 0.348415 data_time: 0.033237 memory: 4565 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.858592 2023/08/08 14:11:59 - mmengine - INFO - Epoch(train) [64][520/529] lr: 5.000000e-04 eta: 7:39:51 time: 0.349653 data_time: 0.032574 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.870368 2023/08/08 14:12:03 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:12:07 - mmengine - INFO - Epoch(train) [65][ 10/529] lr: 5.000000e-04 eta: 7:39:46 time: 0.361494 data_time: 0.036582 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.816252 2023/08/08 14:12:10 - mmengine - INFO - Epoch(train) [65][ 20/529] lr: 5.000000e-04 eta: 7:39:42 time: 0.363789 data_time: 0.036608 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.900740 2023/08/08 14:12:14 - mmengine - INFO - Epoch(train) [65][ 30/529] lr: 5.000000e-04 eta: 7:39:39 time: 0.365171 data_time: 0.036936 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.879350 2023/08/08 14:12:17 - mmengine - INFO - Epoch(train) [65][ 40/529] lr: 5.000000e-04 eta: 7:39:35 time: 0.367011 data_time: 0.037030 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.911905 2023/08/08 14:12:21 - mmengine - INFO - Epoch(train) [65][ 50/529] lr: 5.000000e-04 eta: 7:39:32 time: 0.368296 data_time: 0.036803 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.883774 2023/08/08 14:12:25 - mmengine - INFO - Epoch(train) [65][ 60/529] lr: 5.000000e-04 eta: 7:39:28 time: 0.362955 data_time: 0.032603 memory: 4565 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.887359 2023/08/08 14:12:28 - mmengine - INFO - Epoch(train) [65][ 70/529] lr: 5.000000e-04 eta: 7:39:25 time: 0.361143 data_time: 0.032470 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.880271 2023/08/08 14:12:32 - mmengine - INFO - Epoch(train) [65][ 80/529] lr: 5.000000e-04 eta: 7:39:21 time: 0.361206 data_time: 0.031885 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.928341 2023/08/08 14:12:36 - mmengine - INFO - Epoch(train) [65][ 90/529] lr: 5.000000e-04 eta: 7:39:18 time: 0.362536 data_time: 0.032278 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.839359 2023/08/08 14:12:39 - mmengine - INFO - Epoch(train) [65][100/529] lr: 5.000000e-04 eta: 7:39:15 time: 0.366022 data_time: 0.032568 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.884275 2023/08/08 14:12:43 - mmengine - INFO - Epoch(train) [65][110/529] lr: 5.000000e-04 eta: 7:39:11 time: 0.361931 data_time: 0.032167 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.822721 2023/08/08 14:12:47 - mmengine - INFO - Epoch(train) [65][120/529] lr: 5.000000e-04 eta: 7:39:08 time: 0.364980 data_time: 0.032154 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.839442 2023/08/08 14:12:50 - mmengine - INFO - Epoch(train) [65][130/529] lr: 5.000000e-04 eta: 7:39:04 time: 0.364163 data_time: 0.032056 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.887760 2023/08/08 14:12:54 - mmengine - INFO - Epoch(train) [65][140/529] lr: 5.000000e-04 eta: 7:39:00 time: 0.360932 data_time: 0.031560 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.864100 2023/08/08 14:12:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:12:57 - mmengine - INFO - Epoch(train) [65][150/529] lr: 5.000000e-04 eta: 7:38:57 time: 0.355629 data_time: 0.031345 memory: 4565 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.822474 2023/08/08 14:13:01 - mmengine - INFO - Epoch(train) [65][160/529] lr: 5.000000e-04 eta: 7:38:53 time: 0.355565 data_time: 0.031541 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.843669 2023/08/08 14:13:04 - mmengine - INFO - Epoch(train) [65][170/529] lr: 5.000000e-04 eta: 7:38:49 time: 0.353688 data_time: 0.032429 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.865212 2023/08/08 14:13:08 - mmengine - INFO - Epoch(train) [65][180/529] lr: 5.000000e-04 eta: 7:38:46 time: 0.353359 data_time: 0.032377 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.863733 2023/08/08 14:13:11 - mmengine - INFO - Epoch(train) [65][190/529] lr: 5.000000e-04 eta: 7:38:42 time: 0.355387 data_time: 0.032588 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.871305 2023/08/08 14:13:15 - mmengine - INFO - Epoch(train) [65][200/529] lr: 5.000000e-04 eta: 7:38:39 time: 0.356274 data_time: 0.032590 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.889241 2023/08/08 14:13:19 - mmengine - INFO - Epoch(train) [65][210/529] lr: 5.000000e-04 eta: 7:38:35 time: 0.358234 data_time: 0.032470 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.901650 2023/08/08 14:13:22 - mmengine - INFO - Epoch(train) [65][220/529] lr: 5.000000e-04 eta: 7:38:32 time: 0.359230 data_time: 0.032485 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.812049 2023/08/08 14:13:26 - mmengine - INFO - Epoch(train) [65][230/529] lr: 5.000000e-04 eta: 7:38:28 time: 0.361099 data_time: 0.032802 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.784249 2023/08/08 14:13:30 - mmengine - INFO - Epoch(train) [65][240/529] lr: 5.000000e-04 eta: 7:38:25 time: 0.363038 data_time: 0.032698 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.874052 2023/08/08 14:13:33 - mmengine - INFO - Epoch(train) [65][250/529] lr: 5.000000e-04 eta: 7:38:22 time: 0.364323 data_time: 0.032961 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.811243 2023/08/08 14:13:37 - mmengine - INFO - Epoch(train) [65][260/529] lr: 5.000000e-04 eta: 7:38:18 time: 0.361965 data_time: 0.032780 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.859384 2023/08/08 14:13:40 - mmengine - INFO - Epoch(train) [65][270/529] lr: 5.000000e-04 eta: 7:38:14 time: 0.359985 data_time: 0.031858 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.888281 2023/08/08 14:13:44 - mmengine - INFO - Epoch(train) [65][280/529] lr: 5.000000e-04 eta: 7:38:11 time: 0.358218 data_time: 0.031551 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.790281 2023/08/08 14:13:47 - mmengine - INFO - Epoch(train) [65][290/529] lr: 5.000000e-04 eta: 7:38:07 time: 0.354645 data_time: 0.031634 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.874679 2023/08/08 14:13:51 - mmengine - INFO - Epoch(train) [65][300/529] lr: 5.000000e-04 eta: 7:38:03 time: 0.353280 data_time: 0.031434 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.780653 2023/08/08 14:13:54 - mmengine - INFO - Epoch(train) [65][310/529] lr: 5.000000e-04 eta: 7:38:00 time: 0.355384 data_time: 0.031685 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.856966 2023/08/08 14:13:58 - mmengine - INFO - Epoch(train) [65][320/529] lr: 5.000000e-04 eta: 7:37:57 time: 0.363277 data_time: 0.032417 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.901280 2023/08/08 14:14:02 - mmengine - INFO - Epoch(train) [65][330/529] lr: 5.000000e-04 eta: 7:37:53 time: 0.362343 data_time: 0.032592 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.845233 2023/08/08 14:14:05 - mmengine - INFO - Epoch(train) [65][340/529] lr: 5.000000e-04 eta: 7:37:49 time: 0.361157 data_time: 0.032309 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.858254 2023/08/08 14:14:09 - mmengine - INFO - Epoch(train) [65][350/529] lr: 5.000000e-04 eta: 7:37:46 time: 0.361402 data_time: 0.032234 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.831833 2023/08/08 14:14:13 - mmengine - INFO - Epoch(train) [65][360/529] lr: 5.000000e-04 eta: 7:37:42 time: 0.362043 data_time: 0.032127 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.924907 2023/08/08 14:14:16 - mmengine - INFO - Epoch(train) [65][370/529] lr: 5.000000e-04 eta: 7:37:39 time: 0.354021 data_time: 0.031380 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.844775 2023/08/08 14:14:20 - mmengine - INFO - Epoch(train) [65][380/529] lr: 5.000000e-04 eta: 7:37:35 time: 0.357751 data_time: 0.031574 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.915106 2023/08/08 14:14:23 - mmengine - INFO - Epoch(train) [65][390/529] lr: 5.000000e-04 eta: 7:37:32 time: 0.361004 data_time: 0.031674 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.859881 2023/08/08 14:14:27 - mmengine - INFO - Epoch(train) [65][400/529] lr: 5.000000e-04 eta: 7:37:28 time: 0.360219 data_time: 0.031485 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.885092 2023/08/08 14:14:30 - mmengine - INFO - Epoch(train) [65][410/529] lr: 5.000000e-04 eta: 7:37:25 time: 0.357298 data_time: 0.031271 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.849477 2023/08/08 14:14:34 - mmengine - INFO - Epoch(train) [65][420/529] lr: 5.000000e-04 eta: 7:37:21 time: 0.358291 data_time: 0.031613 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.859495 2023/08/08 14:14:38 - mmengine - INFO - Epoch(train) [65][430/529] lr: 5.000000e-04 eta: 7:37:17 time: 0.356427 data_time: 0.031346 memory: 4565 loss: 0.000873 loss_kpt: 0.000873 acc_pose: 0.850744 2023/08/08 14:14:41 - mmengine - INFO - Epoch(train) [65][440/529] lr: 5.000000e-04 eta: 7:37:14 time: 0.354986 data_time: 0.031523 memory: 4565 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.895162 2023/08/08 14:14:45 - mmengine - INFO - Epoch(train) [65][450/529] lr: 5.000000e-04 eta: 7:37:10 time: 0.355877 data_time: 0.031606 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.845716 2023/08/08 14:14:48 - mmengine - INFO - Epoch(train) [65][460/529] lr: 5.000000e-04 eta: 7:37:07 time: 0.357004 data_time: 0.032272 memory: 4565 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.870961 2023/08/08 14:14:52 - mmengine - INFO - Epoch(train) [65][470/529] lr: 5.000000e-04 eta: 7:37:03 time: 0.357233 data_time: 0.032201 memory: 4565 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.850450 2023/08/08 14:14:55 - mmengine - INFO - Epoch(train) [65][480/529] lr: 5.000000e-04 eta: 7:37:00 time: 0.356571 data_time: 0.032134 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.832630 2023/08/08 14:14:59 - mmengine - INFO - Epoch(train) [65][490/529] lr: 5.000000e-04 eta: 7:36:56 time: 0.357113 data_time: 0.032182 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.875403 2023/08/08 14:15:03 - mmengine - INFO - Epoch(train) [65][500/529] lr: 5.000000e-04 eta: 7:36:53 time: 0.358076 data_time: 0.032352 memory: 4565 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.820610 2023/08/08 14:15:06 - mmengine - INFO - Epoch(train) [65][510/529] lr: 5.000000e-04 eta: 7:36:49 time: 0.358866 data_time: 0.032394 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.871465 2023/08/08 14:15:10 - mmengine - INFO - Epoch(train) [65][520/529] lr: 5.000000e-04 eta: 7:36:46 time: 0.362140 data_time: 0.036172 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.817039 2023/08/08 14:15:13 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:15:17 - mmengine - INFO - Epoch(train) [66][ 10/529] lr: 5.000000e-04 eta: 7:36:41 time: 0.374311 data_time: 0.039726 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.855744 2023/08/08 14:15:21 - mmengine - INFO - Epoch(train) [66][ 20/529] lr: 5.000000e-04 eta: 7:36:37 time: 0.376961 data_time: 0.039688 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.871146 2023/08/08 14:15:25 - mmengine - INFO - Epoch(train) [66][ 30/529] lr: 5.000000e-04 eta: 7:36:34 time: 0.375032 data_time: 0.039224 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.864827 2023/08/08 14:15:28 - mmengine - INFO - Epoch(train) [66][ 40/529] lr: 5.000000e-04 eta: 7:36:30 time: 0.373941 data_time: 0.035802 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.831101 2023/08/08 14:15:32 - mmengine - INFO - Epoch(train) [66][ 50/529] lr: 5.000000e-04 eta: 7:36:27 time: 0.370005 data_time: 0.036483 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.819625 2023/08/08 14:15:35 - mmengine - INFO - Epoch(train) [66][ 60/529] lr: 5.000000e-04 eta: 7:36:23 time: 0.358904 data_time: 0.032578 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.818856 2023/08/08 14:15:39 - mmengine - INFO - Epoch(train) [66][ 70/529] lr: 5.000000e-04 eta: 7:36:19 time: 0.354365 data_time: 0.032637 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.859148 2023/08/08 14:15:42 - mmengine - INFO - Epoch(train) [66][ 80/529] lr: 5.000000e-04 eta: 7:36:15 time: 0.354649 data_time: 0.032376 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.884622 2023/08/08 14:15:46 - mmengine - INFO - Epoch(train) [66][ 90/529] lr: 5.000000e-04 eta: 7:36:12 time: 0.350865 data_time: 0.031793 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.883253 2023/08/08 14:15:49 - mmengine - INFO - Epoch(train) [66][100/529] lr: 5.000000e-04 eta: 7:36:08 time: 0.351002 data_time: 0.031639 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.830687 2023/08/08 14:15:53 - mmengine - INFO - Epoch(train) [66][110/529] lr: 5.000000e-04 eta: 7:36:04 time: 0.350735 data_time: 0.032522 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.795789 2023/08/08 14:15:57 - mmengine - INFO - Epoch(train) [66][120/529] lr: 5.000000e-04 eta: 7:36:01 time: 0.358258 data_time: 0.033552 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.901513 2023/08/08 14:16:01 - mmengine - INFO - Epoch(train) [66][130/529] lr: 5.000000e-04 eta: 7:35:59 time: 0.365784 data_time: 0.034031 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.868717 2023/08/08 14:16:05 - mmengine - INFO - Epoch(train) [66][140/529] lr: 5.000000e-04 eta: 7:35:55 time: 0.372216 data_time: 0.034484 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.883470 2023/08/08 14:16:09 - mmengine - INFO - Epoch(train) [66][150/529] lr: 5.000000e-04 eta: 7:35:53 time: 0.381497 data_time: 0.034663 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.840514 2023/08/08 14:16:12 - mmengine - INFO - Epoch(train) [66][160/529] lr: 5.000000e-04 eta: 7:35:50 time: 0.390963 data_time: 0.033781 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.866457 2023/08/08 14:16:16 - mmengine - INFO - Epoch(train) [66][170/529] lr: 5.000000e-04 eta: 7:35:47 time: 0.390232 data_time: 0.032779 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.854830 2023/08/08 14:16:20 - mmengine - INFO - Epoch(train) [66][180/529] lr: 5.000000e-04 eta: 7:35:44 time: 0.390200 data_time: 0.035782 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.840089 2023/08/08 14:16:24 - mmengine - INFO - Epoch(train) [66][190/529] lr: 5.000000e-04 eta: 7:35:41 time: 0.384432 data_time: 0.035348 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.873189 2023/08/08 14:16:27 - mmengine - INFO - Epoch(train) [66][200/529] lr: 5.000000e-04 eta: 7:35:37 time: 0.375625 data_time: 0.035296 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.877543 2023/08/08 14:16:31 - mmengine - INFO - Epoch(train) [66][210/529] lr: 5.000000e-04 eta: 7:35:34 time: 0.369312 data_time: 0.035937 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.796846 2023/08/08 14:16:35 - mmengine - INFO - Epoch(train) [66][220/529] lr: 5.000000e-04 eta: 7:35:31 time: 0.369871 data_time: 0.036254 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.879995 2023/08/08 14:16:39 - mmengine - INFO - Epoch(train) [66][230/529] lr: 5.000000e-04 eta: 7:35:27 time: 0.366022 data_time: 0.033538 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.914564 2023/08/08 14:16:42 - mmengine - INFO - Epoch(train) [66][240/529] lr: 5.000000e-04 eta: 7:35:24 time: 0.366343 data_time: 0.033761 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.878824 2023/08/08 14:16:46 - mmengine - INFO - Epoch(train) [66][250/529] lr: 5.000000e-04 eta: 7:35:20 time: 0.366077 data_time: 0.033438 memory: 4565 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.791725 2023/08/08 14:16:49 - mmengine - INFO - Epoch(train) [66][260/529] lr: 5.000000e-04 eta: 7:35:16 time: 0.363762 data_time: 0.032718 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.883818 2023/08/08 14:16:53 - mmengine - INFO - Epoch(train) [66][270/529] lr: 5.000000e-04 eta: 7:35:13 time: 0.361071 data_time: 0.032544 memory: 4565 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.878941 2023/08/08 14:16:57 - mmengine - INFO - Epoch(train) [66][280/529] lr: 5.000000e-04 eta: 7:35:10 time: 0.359183 data_time: 0.031850 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.882759 2023/08/08 14:17:00 - mmengine - INFO - Epoch(train) [66][290/529] lr: 5.000000e-04 eta: 7:35:06 time: 0.359209 data_time: 0.031767 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.859975 2023/08/08 14:17:04 - mmengine - INFO - Epoch(train) [66][300/529] lr: 5.000000e-04 eta: 7:35:02 time: 0.358892 data_time: 0.031653 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.838800 2023/08/08 14:17:08 - mmengine - INFO - Epoch(train) [66][310/529] lr: 5.000000e-04 eta: 7:35:00 time: 0.367397 data_time: 0.031502 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.901694 2023/08/08 14:17:11 - mmengine - INFO - Epoch(train) [66][320/529] lr: 5.000000e-04 eta: 7:34:56 time: 0.366524 data_time: 0.031258 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.841732 2023/08/08 14:17:15 - mmengine - INFO - Epoch(train) [66][330/529] lr: 5.000000e-04 eta: 7:34:53 time: 0.370509 data_time: 0.031469 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.827440 2023/08/08 14:17:19 - mmengine - INFO - Epoch(train) [66][340/529] lr: 5.000000e-04 eta: 7:34:50 time: 0.375170 data_time: 0.031277 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.881333 2023/08/08 14:17:22 - mmengine - INFO - Epoch(train) [66][350/529] lr: 5.000000e-04 eta: 7:34:47 time: 0.378608 data_time: 0.031898 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.812942 2023/08/08 14:17:26 - mmengine - INFO - Epoch(train) [66][360/529] lr: 5.000000e-04 eta: 7:34:43 time: 0.370788 data_time: 0.032084 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.886229 2023/08/08 14:17:30 - mmengine - INFO - Epoch(train) [66][370/529] lr: 5.000000e-04 eta: 7:34:40 time: 0.367945 data_time: 0.032233 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.757109 2023/08/08 14:17:33 - mmengine - INFO - Epoch(train) [66][380/529] lr: 5.000000e-04 eta: 7:34:36 time: 0.362621 data_time: 0.032186 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.864395 2023/08/08 14:17:37 - mmengine - INFO - Epoch(train) [66][390/529] lr: 5.000000e-04 eta: 7:34:33 time: 0.359575 data_time: 0.032488 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.847771 2023/08/08 14:17:40 - mmengine - INFO - Epoch(train) [66][400/529] lr: 5.000000e-04 eta: 7:34:29 time: 0.357171 data_time: 0.032171 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.854326 2023/08/08 14:17:44 - mmengine - INFO - Epoch(train) [66][410/529] lr: 5.000000e-04 eta: 7:34:25 time: 0.358066 data_time: 0.032033 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.831153 2023/08/08 14:17:48 - mmengine - INFO - Epoch(train) [66][420/529] lr: 5.000000e-04 eta: 7:34:23 time: 0.365474 data_time: 0.031853 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.858514 2023/08/08 14:17:52 - mmengine - INFO - Epoch(train) [66][430/529] lr: 5.000000e-04 eta: 7:34:19 time: 0.368510 data_time: 0.032090 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.842428 2023/08/08 14:17:55 - mmengine - INFO - Epoch(train) [66][440/529] lr: 5.000000e-04 eta: 7:34:17 time: 0.373943 data_time: 0.032141 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.930754 2023/08/08 14:17:59 - mmengine - INFO - Epoch(train) [66][450/529] lr: 5.000000e-04 eta: 7:34:13 time: 0.378642 data_time: 0.032191 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.857831 2023/08/08 14:18:03 - mmengine - INFO - Epoch(train) [66][460/529] lr: 5.000000e-04 eta: 7:34:10 time: 0.378609 data_time: 0.033341 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.792478 2023/08/08 14:18:06 - mmengine - INFO - Epoch(train) [66][470/529] lr: 5.000000e-04 eta: 7:34:06 time: 0.371250 data_time: 0.033477 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.844316 2023/08/08 14:18:10 - mmengine - INFO - Epoch(train) [66][480/529] lr: 5.000000e-04 eta: 7:34:03 time: 0.373576 data_time: 0.033636 memory: 4565 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.851516 2023/08/08 14:18:14 - mmengine - INFO - Epoch(train) [66][490/529] lr: 5.000000e-04 eta: 7:34:00 time: 0.367329 data_time: 0.033389 memory: 4565 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.885474 2023/08/08 14:18:18 - mmengine - INFO - Epoch(train) [66][500/529] lr: 5.000000e-04 eta: 7:33:56 time: 0.365675 data_time: 0.033305 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.871507 2023/08/08 14:18:21 - mmengine - INFO - Epoch(train) [66][510/529] lr: 5.000000e-04 eta: 7:33:53 time: 0.364391 data_time: 0.032202 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.871687 2023/08/08 14:18:25 - mmengine - INFO - Epoch(train) [66][520/529] lr: 5.000000e-04 eta: 7:33:49 time: 0.364714 data_time: 0.032402 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.915975 2023/08/08 14:18:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:18:32 - mmengine - INFO - Epoch(train) [67][ 10/529] lr: 5.000000e-04 eta: 7:33:43 time: 0.363326 data_time: 0.036659 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.898415 2023/08/08 14:18:36 - mmengine - INFO - Epoch(train) [67][ 20/529] lr: 5.000000e-04 eta: 7:33:40 time: 0.364915 data_time: 0.036960 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.875012 2023/08/08 14:18:39 - mmengine - INFO - Epoch(train) [67][ 30/529] lr: 5.000000e-04 eta: 7:33:37 time: 0.372509 data_time: 0.036864 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.894400 2023/08/08 14:18:43 - mmengine - INFO - Epoch(train) [67][ 40/529] lr: 5.000000e-04 eta: 7:33:34 time: 0.380064 data_time: 0.036351 memory: 4565 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.859522 2023/08/08 14:18:47 - mmengine - INFO - Epoch(train) [67][ 50/529] lr: 5.000000e-04 eta: 7:33:31 time: 0.386814 data_time: 0.036478 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.880972 2023/08/08 14:18:51 - mmengine - INFO - Epoch(train) [67][ 60/529] lr: 5.000000e-04 eta: 7:33:27 time: 0.379579 data_time: 0.031716 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.839090 2023/08/08 14:18:54 - mmengine - INFO - Epoch(train) [67][ 70/529] lr: 5.000000e-04 eta: 7:33:24 time: 0.374555 data_time: 0.032117 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.937518 2023/08/08 14:18:58 - mmengine - INFO - Epoch(train) [67][ 80/529] lr: 5.000000e-04 eta: 7:33:20 time: 0.366885 data_time: 0.032152 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.849159 2023/08/08 14:19:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:19:02 - mmengine - INFO - Epoch(train) [67][ 90/529] lr: 5.000000e-04 eta: 7:33:17 time: 0.367113 data_time: 0.032212 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.866840 2023/08/08 14:19:05 - mmengine - INFO - Epoch(train) [67][100/529] lr: 5.000000e-04 eta: 7:33:14 time: 0.362444 data_time: 0.032158 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.893432 2023/08/08 14:19:09 - mmengine - INFO - Epoch(train) [67][110/529] lr: 5.000000e-04 eta: 7:33:10 time: 0.362309 data_time: 0.032016 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.900758 2023/08/08 14:19:13 - mmengine - INFO - Epoch(train) [67][120/529] lr: 5.000000e-04 eta: 7:33:07 time: 0.368599 data_time: 0.031555 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.853523 2023/08/08 14:19:16 - mmengine - INFO - Epoch(train) [67][130/529] lr: 5.000000e-04 eta: 7:33:04 time: 0.371084 data_time: 0.031722 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.841043 2023/08/08 14:19:20 - mmengine - INFO - Epoch(train) [67][140/529] lr: 5.000000e-04 eta: 7:33:00 time: 0.362062 data_time: 0.031835 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.875116 2023/08/08 14:19:23 - mmengine - INFO - Epoch(train) [67][150/529] lr: 5.000000e-04 eta: 7:32:56 time: 0.359547 data_time: 0.031765 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.876030 2023/08/08 14:19:27 - mmengine - INFO - Epoch(train) [67][160/529] lr: 5.000000e-04 eta: 7:32:52 time: 0.359222 data_time: 0.031687 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.813304 2023/08/08 14:19:30 - mmengine - INFO - Epoch(train) [67][170/529] lr: 5.000000e-04 eta: 7:32:49 time: 0.351201 data_time: 0.031127 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.873173 2023/08/08 14:19:34 - mmengine - INFO - Epoch(train) [67][180/529] lr: 5.000000e-04 eta: 7:32:45 time: 0.347741 data_time: 0.031067 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.828984 2023/08/08 14:19:37 - mmengine - INFO - Epoch(train) [67][190/529] lr: 5.000000e-04 eta: 7:32:41 time: 0.347642 data_time: 0.031100 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.852519 2023/08/08 14:19:41 - mmengine - INFO - Epoch(train) [67][200/529] lr: 5.000000e-04 eta: 7:32:38 time: 0.355409 data_time: 0.032888 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.863556 2023/08/08 14:19:45 - mmengine - INFO - Epoch(train) [67][210/529] lr: 5.000000e-04 eta: 7:32:35 time: 0.361167 data_time: 0.032902 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.861381 2023/08/08 14:19:49 - mmengine - INFO - Epoch(train) [67][220/529] lr: 5.000000e-04 eta: 7:32:32 time: 0.366126 data_time: 0.032973 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.871917 2023/08/08 14:19:52 - mmengine - INFO - Epoch(train) [67][230/529] lr: 5.000000e-04 eta: 7:32:28 time: 0.367992 data_time: 0.033260 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.903041 2023/08/08 14:19:56 - mmengine - INFO - Epoch(train) [67][240/529] lr: 5.000000e-04 eta: 7:32:25 time: 0.372043 data_time: 0.033576 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.928247 2023/08/08 14:19:59 - mmengine - INFO - Epoch(train) [67][250/529] lr: 5.000000e-04 eta: 7:32:21 time: 0.366876 data_time: 0.031777 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.858167 2023/08/08 14:20:03 - mmengine - INFO - Epoch(train) [67][260/529] lr: 5.000000e-04 eta: 7:32:18 time: 0.367253 data_time: 0.032102 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.842306 2023/08/08 14:20:07 - mmengine - INFO - Epoch(train) [67][270/529] lr: 5.000000e-04 eta: 7:32:15 time: 0.366258 data_time: 0.032156 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.840837 2023/08/08 14:20:10 - mmengine - INFO - Epoch(train) [67][280/529] lr: 5.000000e-04 eta: 7:32:11 time: 0.364614 data_time: 0.031801 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.783512 2023/08/08 14:20:14 - mmengine - INFO - Epoch(train) [67][290/529] lr: 5.000000e-04 eta: 7:32:07 time: 0.362858 data_time: 0.031487 memory: 4565 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.796025 2023/08/08 14:20:18 - mmengine - INFO - Epoch(train) [67][300/529] lr: 5.000000e-04 eta: 7:32:04 time: 0.362725 data_time: 0.031883 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.886105 2023/08/08 14:20:21 - mmengine - INFO - Epoch(train) [67][310/529] lr: 5.000000e-04 eta: 7:32:00 time: 0.357336 data_time: 0.031754 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.815261 2023/08/08 14:20:25 - mmengine - INFO - Epoch(train) [67][320/529] lr: 5.000000e-04 eta: 7:31:57 time: 0.360914 data_time: 0.035993 memory: 4565 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.899792 2023/08/08 14:20:28 - mmengine - INFO - Epoch(train) [67][330/529] lr: 5.000000e-04 eta: 7:31:54 time: 0.361344 data_time: 0.036281 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.913195 2023/08/08 14:20:32 - mmengine - INFO - Epoch(train) [67][340/529] lr: 5.000000e-04 eta: 7:31:50 time: 0.359876 data_time: 0.036542 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.942428 2023/08/08 14:20:36 - mmengine - INFO - Epoch(train) [67][350/529] lr: 5.000000e-04 eta: 7:31:46 time: 0.359286 data_time: 0.036141 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.879300 2023/08/08 14:20:39 - mmengine - INFO - Epoch(train) [67][360/529] lr: 5.000000e-04 eta: 7:31:43 time: 0.367484 data_time: 0.035988 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.923542 2023/08/08 14:20:43 - mmengine - INFO - Epoch(train) [67][370/529] lr: 5.000000e-04 eta: 7:31:40 time: 0.363538 data_time: 0.032126 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.852890 2023/08/08 14:20:47 - mmengine - INFO - Epoch(train) [67][380/529] lr: 5.000000e-04 eta: 7:31:36 time: 0.364753 data_time: 0.032147 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.831617 2023/08/08 14:20:50 - mmengine - INFO - Epoch(train) [67][390/529] lr: 5.000000e-04 eta: 7:31:33 time: 0.366722 data_time: 0.032167 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.853408 2023/08/08 14:20:54 - mmengine - INFO - Epoch(train) [67][400/529] lr: 5.000000e-04 eta: 7:31:30 time: 0.370714 data_time: 0.032235 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.888692 2023/08/08 14:20:58 - mmengine - INFO - Epoch(train) [67][410/529] lr: 5.000000e-04 eta: 7:31:26 time: 0.362079 data_time: 0.032223 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.875857 2023/08/08 14:21:01 - mmengine - INFO - Epoch(train) [67][420/529] lr: 5.000000e-04 eta: 7:31:23 time: 0.362803 data_time: 0.031861 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.815269 2023/08/08 14:21:05 - mmengine - INFO - Epoch(train) [67][430/529] lr: 5.000000e-04 eta: 7:31:20 time: 0.369133 data_time: 0.031755 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.810045 2023/08/08 14:21:09 - mmengine - INFO - Epoch(train) [67][440/529] lr: 5.000000e-04 eta: 7:31:17 time: 0.373281 data_time: 0.032072 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.829857 2023/08/08 14:21:13 - mmengine - INFO - Epoch(train) [67][450/529] lr: 5.000000e-04 eta: 7:31:14 time: 0.377591 data_time: 0.032582 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.947805 2023/08/08 14:21:17 - mmengine - INFO - Epoch(train) [67][460/529] lr: 5.000000e-04 eta: 7:31:11 time: 0.384775 data_time: 0.032746 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.884146 2023/08/08 14:21:21 - mmengine - INFO - Epoch(train) [67][470/529] lr: 5.000000e-04 eta: 7:31:08 time: 0.389578 data_time: 0.033149 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.849287 2023/08/08 14:21:24 - mmengine - INFO - Epoch(train) [67][480/529] lr: 5.000000e-04 eta: 7:31:05 time: 0.386593 data_time: 0.033468 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.842731 2023/08/08 14:21:28 - mmengine - INFO - Epoch(train) [67][490/529] lr: 5.000000e-04 eta: 7:31:02 time: 0.381782 data_time: 0.033366 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.845495 2023/08/08 14:21:32 - mmengine - INFO - Epoch(train) [67][500/529] lr: 5.000000e-04 eta: 7:30:58 time: 0.373641 data_time: 0.032785 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.865443 2023/08/08 14:21:35 - mmengine - INFO - Epoch(train) [67][510/529] lr: 5.000000e-04 eta: 7:30:54 time: 0.368622 data_time: 0.033031 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.905911 2023/08/08 14:21:39 - mmengine - INFO - Epoch(train) [67][520/529] lr: 5.000000e-04 eta: 7:30:51 time: 0.361055 data_time: 0.032526 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.821337 2023/08/08 14:21:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:21:46 - mmengine - INFO - Epoch(train) [68][ 10/529] lr: 5.000000e-04 eta: 7:30:44 time: 0.358953 data_time: 0.035141 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.827748 2023/08/08 14:21:49 - mmengine - INFO - Epoch(train) [68][ 20/529] lr: 5.000000e-04 eta: 7:30:40 time: 0.358337 data_time: 0.035083 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.898228 2023/08/08 14:21:53 - mmengine - INFO - Epoch(train) [68][ 30/529] lr: 5.000000e-04 eta: 7:30:37 time: 0.362223 data_time: 0.034859 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.838906 2023/08/08 14:21:57 - mmengine - INFO - Epoch(train) [68][ 40/529] lr: 5.000000e-04 eta: 7:30:34 time: 0.365840 data_time: 0.034918 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.779268 2023/08/08 14:22:01 - mmengine - INFO - Epoch(train) [68][ 50/529] lr: 5.000000e-04 eta: 7:30:31 time: 0.372078 data_time: 0.035759 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.906724 2023/08/08 14:22:04 - mmengine - INFO - Epoch(train) [68][ 60/529] lr: 5.000000e-04 eta: 7:30:27 time: 0.367145 data_time: 0.032119 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.842816 2023/08/08 14:22:08 - mmengine - INFO - Epoch(train) [68][ 70/529] lr: 5.000000e-04 eta: 7:30:24 time: 0.367275 data_time: 0.032237 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.902031 2023/08/08 14:22:11 - mmengine - INFO - Epoch(train) [68][ 80/529] lr: 5.000000e-04 eta: 7:30:20 time: 0.362737 data_time: 0.032109 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.880087 2023/08/08 14:22:15 - mmengine - INFO - Epoch(train) [68][ 90/529] lr: 5.000000e-04 eta: 7:30:17 time: 0.360061 data_time: 0.032557 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.852513 2023/08/08 14:22:18 - mmengine - INFO - Epoch(train) [68][100/529] lr: 5.000000e-04 eta: 7:30:13 time: 0.355746 data_time: 0.031986 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.863097 2023/08/08 14:22:22 - mmengine - INFO - Epoch(train) [68][110/529] lr: 5.000000e-04 eta: 7:30:10 time: 0.358523 data_time: 0.032286 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.822092 2023/08/08 14:22:26 - mmengine - INFO - Epoch(train) [68][120/529] lr: 5.000000e-04 eta: 7:30:06 time: 0.358579 data_time: 0.032503 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.845522 2023/08/08 14:22:29 - mmengine - INFO - Epoch(train) [68][130/529] lr: 5.000000e-04 eta: 7:30:02 time: 0.357245 data_time: 0.032375 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.862743 2023/08/08 14:22:33 - mmengine - INFO - Epoch(train) [68][140/529] lr: 5.000000e-04 eta: 7:29:59 time: 0.357082 data_time: 0.032238 memory: 4565 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.853274 2023/08/08 14:22:36 - mmengine - INFO - Epoch(train) [68][150/529] lr: 5.000000e-04 eta: 7:29:55 time: 0.358391 data_time: 0.032384 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.843070 2023/08/08 14:22:40 - mmengine - INFO - Epoch(train) [68][160/529] lr: 5.000000e-04 eta: 7:29:52 time: 0.357750 data_time: 0.032009 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.876596 2023/08/08 14:22:44 - mmengine - INFO - Epoch(train) [68][170/529] lr: 5.000000e-04 eta: 7:29:48 time: 0.359540 data_time: 0.032184 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.837801 2023/08/08 14:22:47 - mmengine - INFO - Epoch(train) [68][180/529] lr: 5.000000e-04 eta: 7:29:45 time: 0.362195 data_time: 0.032272 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.865307 2023/08/08 14:22:51 - mmengine - INFO - Epoch(train) [68][190/529] lr: 5.000000e-04 eta: 7:29:41 time: 0.362223 data_time: 0.032360 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.885214 2023/08/08 14:22:54 - mmengine - INFO - Epoch(train) [68][200/529] lr: 5.000000e-04 eta: 7:29:38 time: 0.360920 data_time: 0.032630 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.783166 2023/08/08 14:22:58 - mmengine - INFO - Epoch(train) [68][210/529] lr: 5.000000e-04 eta: 7:29:35 time: 0.365421 data_time: 0.037101 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.905696 2023/08/08 14:23:02 - mmengine - INFO - Epoch(train) [68][220/529] lr: 5.000000e-04 eta: 7:29:31 time: 0.364527 data_time: 0.036933 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.846277 2023/08/08 14:23:05 - mmengine - INFO - Epoch(train) [68][230/529] lr: 5.000000e-04 eta: 7:29:28 time: 0.364594 data_time: 0.037712 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.918964 2023/08/08 14:23:09 - mmengine - INFO - Epoch(train) [68][240/529] lr: 5.000000e-04 eta: 7:29:25 time: 0.370374 data_time: 0.038665 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.926460 2023/08/08 14:23:13 - mmengine - INFO - Epoch(train) [68][250/529] lr: 5.000000e-04 eta: 7:29:21 time: 0.371764 data_time: 0.039487 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.852411 2023/08/08 14:23:17 - mmengine - INFO - Epoch(train) [68][260/529] lr: 5.000000e-04 eta: 7:29:18 time: 0.368186 data_time: 0.034941 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.839137 2023/08/08 14:23:20 - mmengine - INFO - Epoch(train) [68][270/529] lr: 5.000000e-04 eta: 7:29:15 time: 0.373119 data_time: 0.035357 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.784845 2023/08/08 14:23:24 - mmengine - INFO - Epoch(train) [68][280/529] lr: 5.000000e-04 eta: 7:29:11 time: 0.370942 data_time: 0.035629 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.894912 2023/08/08 14:23:28 - mmengine - INFO - Epoch(train) [68][290/529] lr: 5.000000e-04 eta: 7:29:08 time: 0.365346 data_time: 0.034880 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.817768 2023/08/08 14:23:31 - mmengine - INFO - Epoch(train) [68][300/529] lr: 5.000000e-04 eta: 7:29:04 time: 0.364182 data_time: 0.033613 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.898234 2023/08/08 14:23:35 - mmengine - INFO - Epoch(train) [68][310/529] lr: 5.000000e-04 eta: 7:29:01 time: 0.365624 data_time: 0.033567 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.843323 2023/08/08 14:23:39 - mmengine - INFO - Epoch(train) [68][320/529] lr: 5.000000e-04 eta: 7:28:58 time: 0.368112 data_time: 0.032896 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.906427 2023/08/08 14:23:42 - mmengine - INFO - Epoch(train) [68][330/529] lr: 5.000000e-04 eta: 7:28:54 time: 0.366067 data_time: 0.031746 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.845915 2023/08/08 14:23:46 - mmengine - INFO - Epoch(train) [68][340/529] lr: 5.000000e-04 eta: 7:28:50 time: 0.364381 data_time: 0.031169 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.813705 2023/08/08 14:23:49 - mmengine - INFO - Epoch(train) [68][350/529] lr: 5.000000e-04 eta: 7:28:47 time: 0.361895 data_time: 0.031090 memory: 4565 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.858913 2023/08/08 14:23:53 - mmengine - INFO - Epoch(train) [68][360/529] lr: 5.000000e-04 eta: 7:28:43 time: 0.359842 data_time: 0.031639 memory: 4565 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.871267 2023/08/08 14:23:57 - mmengine - INFO - Epoch(train) [68][370/529] lr: 5.000000e-04 eta: 7:28:40 time: 0.354588 data_time: 0.032402 memory: 4565 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.835228 2023/08/08 14:24:00 - mmengine - INFO - Epoch(train) [68][380/529] lr: 5.000000e-04 eta: 7:28:36 time: 0.355461 data_time: 0.033314 memory: 4565 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.821931 2023/08/08 14:24:04 - mmengine - INFO - Epoch(train) [68][390/529] lr: 5.000000e-04 eta: 7:28:32 time: 0.355363 data_time: 0.034182 memory: 4565 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.902380 2023/08/08 14:24:07 - mmengine - INFO - Epoch(train) [68][400/529] lr: 5.000000e-04 eta: 7:28:29 time: 0.361483 data_time: 0.039122 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.860367 2023/08/08 14:24:11 - mmengine - INFO - Epoch(train) [68][410/529] lr: 5.000000e-04 eta: 7:28:25 time: 0.359066 data_time: 0.038724 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.885740 2023/08/08 14:24:14 - mmengine - INFO - Epoch(train) [68][420/529] lr: 5.000000e-04 eta: 7:28:22 time: 0.356992 data_time: 0.038662 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.856414 2023/08/08 14:24:18 - mmengine - INFO - Epoch(train) [68][430/529] lr: 5.000000e-04 eta: 7:28:18 time: 0.360216 data_time: 0.038870 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.855928 2023/08/08 14:24:22 - mmengine - INFO - Epoch(train) [68][440/529] lr: 5.000000e-04 eta: 7:28:15 time: 0.361324 data_time: 0.038554 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.812147 2023/08/08 14:24:25 - mmengine - INFO - Epoch(train) [68][450/529] lr: 5.000000e-04 eta: 7:28:12 time: 0.361910 data_time: 0.034422 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.802659 2023/08/08 14:24:29 - mmengine - INFO - Epoch(train) [68][460/529] lr: 5.000000e-04 eta: 7:28:08 time: 0.361282 data_time: 0.035078 memory: 4565 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.847078 2023/08/08 14:24:32 - mmengine - INFO - Epoch(train) [68][470/529] lr: 5.000000e-04 eta: 7:28:04 time: 0.361580 data_time: 0.034544 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.859005 2023/08/08 14:24:36 - mmengine - INFO - Epoch(train) [68][480/529] lr: 5.000000e-04 eta: 7:28:01 time: 0.359814 data_time: 0.033761 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.820323 2023/08/08 14:24:40 - mmengine - INFO - Epoch(train) [68][490/529] lr: 5.000000e-04 eta: 7:27:57 time: 0.358716 data_time: 0.033584 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.853177 2023/08/08 14:24:43 - mmengine - INFO - Epoch(train) [68][500/529] lr: 5.000000e-04 eta: 7:27:53 time: 0.351943 data_time: 0.032667 memory: 4565 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.863319 2023/08/08 14:24:46 - mmengine - INFO - Epoch(train) [68][510/529] lr: 5.000000e-04 eta: 7:27:49 time: 0.351506 data_time: 0.031903 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.833324 2023/08/08 14:24:50 - mmengine - INFO - Epoch(train) [68][520/529] lr: 5.000000e-04 eta: 7:27:46 time: 0.348520 data_time: 0.031596 memory: 4565 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.825048 2023/08/08 14:24:53 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:24:57 - mmengine - INFO - Epoch(train) [69][ 10/529] lr: 5.000000e-04 eta: 7:27:40 time: 0.357487 data_time: 0.035950 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.889356 2023/08/08 14:25:01 - mmengine - INFO - Epoch(train) [69][ 20/529] lr: 5.000000e-04 eta: 7:27:36 time: 0.358828 data_time: 0.036627 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.829817 2023/08/08 14:25:03 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:25:04 - mmengine - INFO - Epoch(train) [69][ 30/529] lr: 5.000000e-04 eta: 7:27:32 time: 0.358132 data_time: 0.036735 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.861474 2023/08/08 14:25:08 - mmengine - INFO - Epoch(train) [69][ 40/529] lr: 5.000000e-04 eta: 7:27:28 time: 0.360888 data_time: 0.037050 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.873577 2023/08/08 14:25:11 - mmengine - INFO - Epoch(train) [69][ 50/529] lr: 5.000000e-04 eta: 7:27:25 time: 0.360180 data_time: 0.037022 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.820823 2023/08/08 14:25:15 - mmengine - INFO - Epoch(train) [69][ 60/529] lr: 5.000000e-04 eta: 7:27:21 time: 0.349220 data_time: 0.032299 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.888076 2023/08/08 14:25:18 - mmengine - INFO - Epoch(train) [69][ 70/529] lr: 5.000000e-04 eta: 7:27:17 time: 0.348229 data_time: 0.032038 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.802284 2023/08/08 14:25:22 - mmengine - INFO - Epoch(train) [69][ 80/529] lr: 5.000000e-04 eta: 7:27:14 time: 0.353653 data_time: 0.032116 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.831790 2023/08/08 14:25:25 - mmengine - INFO - Epoch(train) [69][ 90/529] lr: 5.000000e-04 eta: 7:27:10 time: 0.352376 data_time: 0.032272 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.857432 2023/08/08 14:25:29 - mmengine - INFO - Epoch(train) [69][100/529] lr: 5.000000e-04 eta: 7:27:06 time: 0.352350 data_time: 0.033158 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.865812 2023/08/08 14:25:32 - mmengine - INFO - Epoch(train) [69][110/529] lr: 5.000000e-04 eta: 7:27:02 time: 0.353058 data_time: 0.033801 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.892255 2023/08/08 14:25:36 - mmengine - INFO - Epoch(train) [69][120/529] lr: 5.000000e-04 eta: 7:27:00 time: 0.361676 data_time: 0.033570 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.921418 2023/08/08 14:25:40 - mmengine - INFO - Epoch(train) [69][130/529] lr: 5.000000e-04 eta: 7:26:56 time: 0.358887 data_time: 0.033625 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.825616 2023/08/08 14:25:43 - mmengine - INFO - Epoch(train) [69][140/529] lr: 5.000000e-04 eta: 7:26:52 time: 0.359163 data_time: 0.033593 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.866332 2023/08/08 14:25:47 - mmengine - INFO - Epoch(train) [69][150/529] lr: 5.000000e-04 eta: 7:26:49 time: 0.360754 data_time: 0.033091 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.848813 2023/08/08 14:25:50 - mmengine - INFO - Epoch(train) [69][160/529] lr: 5.000000e-04 eta: 7:26:45 time: 0.360105 data_time: 0.032684 memory: 4565 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.858341 2023/08/08 14:25:54 - mmengine - INFO - Epoch(train) [69][170/529] lr: 5.000000e-04 eta: 7:26:41 time: 0.351989 data_time: 0.033192 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.835277 2023/08/08 14:25:57 - mmengine - INFO - Epoch(train) [69][180/529] lr: 5.000000e-04 eta: 7:26:37 time: 0.351436 data_time: 0.033097 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.839622 2023/08/08 14:26:01 - mmengine - INFO - Epoch(train) [69][190/529] lr: 5.000000e-04 eta: 7:26:34 time: 0.351478 data_time: 0.032807 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.865767 2023/08/08 14:26:04 - mmengine - INFO - Epoch(train) [69][200/529] lr: 5.000000e-04 eta: 7:26:30 time: 0.350615 data_time: 0.032600 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.875021 2023/08/08 14:26:08 - mmengine - INFO - Epoch(train) [69][210/529] lr: 5.000000e-04 eta: 7:26:26 time: 0.351022 data_time: 0.032339 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.889380 2023/08/08 14:26:11 - mmengine - INFO - Epoch(train) [69][220/529] lr: 5.000000e-04 eta: 7:26:23 time: 0.353491 data_time: 0.031713 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.878289 2023/08/08 14:26:15 - mmengine - INFO - Epoch(train) [69][230/529] lr: 5.000000e-04 eta: 7:26:19 time: 0.351776 data_time: 0.031430 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.887937 2023/08/08 14:26:18 - mmengine - INFO - Epoch(train) [69][240/529] lr: 5.000000e-04 eta: 7:26:15 time: 0.349828 data_time: 0.031225 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.896505 2023/08/08 14:26:22 - mmengine - INFO - Epoch(train) [69][250/529] lr: 5.000000e-04 eta: 7:26:11 time: 0.350303 data_time: 0.031022 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.870156 2023/08/08 14:26:25 - mmengine - INFO - Epoch(train) [69][260/529] lr: 5.000000e-04 eta: 7:26:08 time: 0.350927 data_time: 0.031250 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.916193 2023/08/08 14:26:29 - mmengine - INFO - Epoch(train) [69][270/529] lr: 5.000000e-04 eta: 7:26:04 time: 0.347857 data_time: 0.032123 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.895551 2023/08/08 14:26:32 - mmengine - INFO - Epoch(train) [69][280/529] lr: 5.000000e-04 eta: 7:26:00 time: 0.348443 data_time: 0.032634 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.886414 2023/08/08 14:26:36 - mmengine - INFO - Epoch(train) [69][290/529] lr: 5.000000e-04 eta: 7:25:57 time: 0.352382 data_time: 0.032807 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.844343 2023/08/08 14:26:39 - mmengine - INFO - Epoch(train) [69][300/529] lr: 5.000000e-04 eta: 7:25:53 time: 0.352368 data_time: 0.033382 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.885138 2023/08/08 14:26:43 - mmengine - INFO - Epoch(train) [69][310/529] lr: 5.000000e-04 eta: 7:25:49 time: 0.354023 data_time: 0.033522 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.787690 2023/08/08 14:26:47 - mmengine - INFO - Epoch(train) [69][320/529] lr: 5.000000e-04 eta: 7:25:46 time: 0.354360 data_time: 0.033684 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.887794 2023/08/08 14:26:50 - mmengine - INFO - Epoch(train) [69][330/529] lr: 5.000000e-04 eta: 7:25:42 time: 0.354367 data_time: 0.033640 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.834400 2023/08/08 14:26:53 - mmengine - INFO - Epoch(train) [69][340/529] lr: 5.000000e-04 eta: 7:25:38 time: 0.351191 data_time: 0.033720 memory: 4565 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.793823 2023/08/08 14:26:57 - mmengine - INFO - Epoch(train) [69][350/529] lr: 5.000000e-04 eta: 7:25:35 time: 0.353184 data_time: 0.033259 memory: 4565 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.836223 2023/08/08 14:27:01 - mmengine - INFO - Epoch(train) [69][360/529] lr: 5.000000e-04 eta: 7:25:31 time: 0.351443 data_time: 0.032529 memory: 4565 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.812268 2023/08/08 14:27:04 - mmengine - INFO - Epoch(train) [69][370/529] lr: 5.000000e-04 eta: 7:25:27 time: 0.350461 data_time: 0.031448 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.883894 2023/08/08 14:27:08 - mmengine - INFO - Epoch(train) [69][380/529] lr: 5.000000e-04 eta: 7:25:23 time: 0.350647 data_time: 0.031089 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.870757 2023/08/08 14:27:11 - mmengine - INFO - Epoch(train) [69][390/529] lr: 5.000000e-04 eta: 7:25:20 time: 0.351528 data_time: 0.031256 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.850717 2023/08/08 14:27:15 - mmengine - INFO - Epoch(train) [69][400/529] lr: 5.000000e-04 eta: 7:25:16 time: 0.351220 data_time: 0.031110 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.819048 2023/08/08 14:27:18 - mmengine - INFO - Epoch(train) [69][410/529] lr: 5.000000e-04 eta: 7:25:13 time: 0.353556 data_time: 0.031279 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.788485 2023/08/08 14:27:22 - mmengine - INFO - Epoch(train) [69][420/529] lr: 5.000000e-04 eta: 7:25:09 time: 0.354715 data_time: 0.031606 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.881849 2023/08/08 14:27:25 - mmengine - INFO - Epoch(train) [69][430/529] lr: 5.000000e-04 eta: 7:25:05 time: 0.354379 data_time: 0.031463 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.901966 2023/08/08 14:27:29 - mmengine - INFO - Epoch(train) [69][440/529] lr: 5.000000e-04 eta: 7:25:01 time: 0.353722 data_time: 0.031214 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.848676 2023/08/08 14:27:32 - mmengine - INFO - Epoch(train) [69][450/529] lr: 5.000000e-04 eta: 7:24:58 time: 0.350999 data_time: 0.031212 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.874257 2023/08/08 14:27:36 - mmengine - INFO - Epoch(train) [69][460/529] lr: 5.000000e-04 eta: 7:24:54 time: 0.349045 data_time: 0.031337 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.812249 2023/08/08 14:27:39 - mmengine - INFO - Epoch(train) [69][470/529] lr: 5.000000e-04 eta: 7:24:50 time: 0.351022 data_time: 0.032186 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.865095 2023/08/08 14:27:43 - mmengine - INFO - Epoch(train) [69][480/529] lr: 5.000000e-04 eta: 7:24:47 time: 0.350907 data_time: 0.032374 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.861415 2023/08/08 14:27:46 - mmengine - INFO - Epoch(train) [69][490/529] lr: 5.000000e-04 eta: 7:24:43 time: 0.351734 data_time: 0.032136 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.883837 2023/08/08 14:27:50 - mmengine - INFO - Epoch(train) [69][500/529] lr: 5.000000e-04 eta: 7:24:39 time: 0.351989 data_time: 0.032099 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.835007 2023/08/08 14:27:53 - mmengine - INFO - Epoch(train) [69][510/529] lr: 5.000000e-04 eta: 7:24:35 time: 0.350114 data_time: 0.032023 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.852121 2023/08/08 14:27:57 - mmengine - INFO - Epoch(train) [69][520/529] lr: 5.000000e-04 eta: 7:24:32 time: 0.350294 data_time: 0.031280 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.835211 2023/08/08 14:28:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:28:04 - mmengine - INFO - Epoch(train) [70][ 10/529] lr: 5.000000e-04 eta: 7:24:25 time: 0.357466 data_time: 0.039484 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.878330 2023/08/08 14:28:07 - mmengine - INFO - Epoch(train) [70][ 20/529] lr: 5.000000e-04 eta: 7:24:22 time: 0.356795 data_time: 0.040092 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.835341 2023/08/08 14:28:11 - mmengine - INFO - Epoch(train) [70][ 30/529] lr: 5.000000e-04 eta: 7:24:18 time: 0.356685 data_time: 0.040536 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.888624 2023/08/08 14:28:14 - mmengine - INFO - Epoch(train) [70][ 40/529] lr: 5.000000e-04 eta: 7:24:14 time: 0.356139 data_time: 0.040166 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.883821 2023/08/08 14:28:18 - mmengine - INFO - Epoch(train) [70][ 50/529] lr: 5.000000e-04 eta: 7:24:10 time: 0.356385 data_time: 0.040485 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.894505 2023/08/08 14:28:21 - mmengine - INFO - Epoch(train) [70][ 60/529] lr: 5.000000e-04 eta: 7:24:07 time: 0.348129 data_time: 0.032662 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.768732 2023/08/08 14:28:25 - mmengine - INFO - Epoch(train) [70][ 70/529] lr: 5.000000e-04 eta: 7:24:03 time: 0.349472 data_time: 0.032631 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.946174 2023/08/08 14:28:28 - mmengine - INFO - Epoch(train) [70][ 80/529] lr: 5.000000e-04 eta: 7:23:59 time: 0.350140 data_time: 0.032558 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.904312 2023/08/08 14:28:32 - mmengine - INFO - Epoch(train) [70][ 90/529] lr: 5.000000e-04 eta: 7:23:55 time: 0.346981 data_time: 0.032594 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.927368 2023/08/08 14:28:35 - mmengine - INFO - Epoch(train) [70][100/529] lr: 5.000000e-04 eta: 7:23:51 time: 0.346394 data_time: 0.032621 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.845180 2023/08/08 14:28:39 - mmengine - INFO - Epoch(train) [70][110/529] lr: 5.000000e-04 eta: 7:23:48 time: 0.348694 data_time: 0.032834 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.867003 2023/08/08 14:28:42 - mmengine - INFO - Epoch(train) [70][120/529] lr: 5.000000e-04 eta: 7:23:44 time: 0.348903 data_time: 0.033065 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.888933 2023/08/08 14:28:46 - mmengine - INFO - Epoch(train) [70][130/529] lr: 5.000000e-04 eta: 7:23:40 time: 0.349799 data_time: 0.033172 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.866629 2023/08/08 14:28:49 - mmengine - INFO - Epoch(train) [70][140/529] lr: 5.000000e-04 eta: 7:23:37 time: 0.352116 data_time: 0.033180 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.887967 2023/08/08 14:28:53 - mmengine - INFO - Epoch(train) [70][150/529] lr: 5.000000e-04 eta: 7:23:33 time: 0.354088 data_time: 0.033333 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.880711 2023/08/08 14:28:56 - mmengine - INFO - Epoch(train) [70][160/529] lr: 5.000000e-04 eta: 7:23:30 time: 0.354193 data_time: 0.032584 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.834257 2023/08/08 14:29:00 - mmengine - INFO - Epoch(train) [70][170/529] lr: 5.000000e-04 eta: 7:23:26 time: 0.352658 data_time: 0.031941 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.868806 2023/08/08 14:29:03 - mmengine - INFO - Epoch(train) [70][180/529] lr: 5.000000e-04 eta: 7:23:22 time: 0.354161 data_time: 0.031392 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.868710 2023/08/08 14:29:07 - mmengine - INFO - Epoch(train) [70][190/529] lr: 5.000000e-04 eta: 7:23:19 time: 0.357483 data_time: 0.035626 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.823146 2023/08/08 14:29:11 - mmengine - INFO - Epoch(train) [70][200/529] lr: 5.000000e-04 eta: 7:23:15 time: 0.357619 data_time: 0.035509 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.823226 2023/08/08 14:29:14 - mmengine - INFO - Epoch(train) [70][210/529] lr: 5.000000e-04 eta: 7:23:11 time: 0.355254 data_time: 0.035768 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.881276 2023/08/08 14:29:18 - mmengine - INFO - Epoch(train) [70][220/529] lr: 5.000000e-04 eta: 7:23:08 time: 0.356481 data_time: 0.035667 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.881005 2023/08/08 14:29:21 - mmengine - INFO - Epoch(train) [70][230/529] lr: 5.000000e-04 eta: 7:23:04 time: 0.354022 data_time: 0.035572 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.863713 2023/08/08 14:29:25 - mmengine - INFO - Epoch(train) [70][240/529] lr: 5.000000e-04 eta: 7:23:00 time: 0.350793 data_time: 0.031498 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.837097 2023/08/08 14:29:28 - mmengine - INFO - Epoch(train) [70][250/529] lr: 5.000000e-04 eta: 7:22:57 time: 0.352964 data_time: 0.032196 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.900531 2023/08/08 14:29:32 - mmengine - INFO - Epoch(train) [70][260/529] lr: 5.000000e-04 eta: 7:22:53 time: 0.352288 data_time: 0.031900 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.870330 2023/08/08 14:29:35 - mmengine - INFO - Epoch(train) [70][270/529] lr: 5.000000e-04 eta: 7:22:49 time: 0.352892 data_time: 0.032206 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.878229 2023/08/08 14:29:39 - mmengine - INFO - Epoch(train) [70][280/529] lr: 5.000000e-04 eta: 7:22:46 time: 0.353288 data_time: 0.032744 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.893546 2023/08/08 14:29:42 - mmengine - INFO - Epoch(train) [70][290/529] lr: 5.000000e-04 eta: 7:22:42 time: 0.352444 data_time: 0.032409 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.828954 2023/08/08 14:29:46 - mmengine - INFO - Epoch(train) [70][300/529] lr: 5.000000e-04 eta: 7:22:38 time: 0.348555 data_time: 0.031561 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.862350 2023/08/08 14:29:49 - mmengine - INFO - Epoch(train) [70][310/529] lr: 5.000000e-04 eta: 7:22:35 time: 0.352580 data_time: 0.031536 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.777151 2023/08/08 14:29:53 - mmengine - INFO - Epoch(train) [70][320/529] lr: 5.000000e-04 eta: 7:22:31 time: 0.354120 data_time: 0.031409 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.900071 2023/08/08 14:29:57 - mmengine - INFO - Epoch(train) [70][330/529] lr: 5.000000e-04 eta: 7:22:27 time: 0.353488 data_time: 0.030856 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.876657 2023/08/08 14:30:00 - mmengine - INFO - Epoch(train) [70][340/529] lr: 5.000000e-04 eta: 7:22:24 time: 0.354557 data_time: 0.031179 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.819381 2023/08/08 14:30:04 - mmengine - INFO - Epoch(train) [70][350/529] lr: 5.000000e-04 eta: 7:22:20 time: 0.359144 data_time: 0.031173 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.850491 2023/08/08 14:30:07 - mmengine - INFO - Epoch(train) [70][360/529] lr: 5.000000e-04 eta: 7:22:16 time: 0.354507 data_time: 0.031490 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.897758 2023/08/08 14:30:11 - mmengine - INFO - Epoch(train) [70][370/529] lr: 5.000000e-04 eta: 7:22:13 time: 0.351429 data_time: 0.031381 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.847157 2023/08/08 14:30:14 - mmengine - INFO - Epoch(train) [70][380/529] lr: 5.000000e-04 eta: 7:22:09 time: 0.354179 data_time: 0.031715 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.813616 2023/08/08 14:30:18 - mmengine - INFO - Epoch(train) [70][390/529] lr: 5.000000e-04 eta: 7:22:06 time: 0.356184 data_time: 0.032088 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.847205 2023/08/08 14:30:22 - mmengine - INFO - Epoch(train) [70][400/529] lr: 5.000000e-04 eta: 7:22:03 time: 0.361229 data_time: 0.033015 memory: 4565 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.931988 2023/08/08 14:30:25 - mmengine - INFO - Epoch(train) [70][410/529] lr: 5.000000e-04 eta: 7:21:59 time: 0.365271 data_time: 0.033317 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.884617 2023/08/08 14:30:29 - mmengine - INFO - Epoch(train) [70][420/529] lr: 5.000000e-04 eta: 7:21:56 time: 0.374366 data_time: 0.033687 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.832091 2023/08/08 14:30:33 - mmengine - INFO - Epoch(train) [70][430/529] lr: 5.000000e-04 eta: 7:21:53 time: 0.377678 data_time: 0.033623 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.863701 2023/08/08 14:30:37 - mmengine - INFO - Epoch(train) [70][440/529] lr: 5.000000e-04 eta: 7:21:50 time: 0.380802 data_time: 0.033469 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.883485 2023/08/08 14:30:40 - mmengine - INFO - Epoch(train) [70][450/529] lr: 5.000000e-04 eta: 7:21:46 time: 0.372258 data_time: 0.032814 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.893289 2023/08/08 14:30:44 - mmengine - INFO - Epoch(train) [70][460/529] lr: 5.000000e-04 eta: 7:21:43 time: 0.374088 data_time: 0.035732 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.854316 2023/08/08 14:30:48 - mmengine - INFO - Epoch(train) [70][470/529] lr: 5.000000e-04 eta: 7:21:40 time: 0.366471 data_time: 0.035810 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.852238 2023/08/08 14:30:51 - mmengine - INFO - Epoch(train) [70][480/529] lr: 5.000000e-04 eta: 7:21:36 time: 0.361697 data_time: 0.035788 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.838226 2023/08/08 14:30:55 - mmengine - INFO - Epoch(train) [70][490/529] lr: 5.000000e-04 eta: 7:21:32 time: 0.355506 data_time: 0.035349 memory: 4565 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.839215 2023/08/08 14:30:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:30:58 - mmengine - INFO - Epoch(train) [70][500/529] lr: 5.000000e-04 eta: 7:21:28 time: 0.355399 data_time: 0.035069 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.941943 2023/08/08 14:31:02 - mmengine - INFO - Epoch(train) [70][510/529] lr: 5.000000e-04 eta: 7:21:25 time: 0.350780 data_time: 0.032265 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.895693 2023/08/08 14:31:05 - mmengine - INFO - Epoch(train) [70][520/529] lr: 5.000000e-04 eta: 7:21:21 time: 0.350850 data_time: 0.032389 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.909265 2023/08/08 14:31:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:31:09 - mmengine - INFO - Saving checkpoint at 70 epochs 2023/08/08 14:31:14 - mmengine - INFO - Epoch(val) [70][ 10/127] eta: 0:00:24 time: 0.199332 data_time: 0.013873 memory: 4565 2023/08/08 14:31:16 - mmengine - INFO - Epoch(val) [70][ 20/127] eta: 0:00:21 time: 0.199464 data_time: 0.013974 memory: 1634 2023/08/08 14:31:18 - mmengine - INFO - Epoch(val) [70][ 30/127] eta: 0:00:19 time: 0.199713 data_time: 0.014137 memory: 1634 2023/08/08 14:31:20 - mmengine - INFO - Epoch(val) [70][ 40/127] eta: 0:00:17 time: 0.199210 data_time: 0.013845 memory: 1634 2023/08/08 14:31:22 - mmengine - INFO - Epoch(val) [70][ 50/127] eta: 0:00:15 time: 0.201298 data_time: 0.014225 memory: 1634 2023/08/08 14:31:24 - mmengine - INFO - Epoch(val) [70][ 60/127] eta: 0:00:13 time: 0.198324 data_time: 0.011597 memory: 1634 2023/08/08 14:31:26 - mmengine - INFO - Epoch(val) [70][ 70/127] eta: 0:00:11 time: 0.198278 data_time: 0.011530 memory: 1634 2023/08/08 14:31:28 - mmengine - INFO - Epoch(val) [70][ 80/127] eta: 0:00:09 time: 0.198283 data_time: 0.011439 memory: 1634 2023/08/08 14:31:30 - mmengine - INFO - Epoch(val) [70][ 90/127] eta: 0:00:07 time: 0.198719 data_time: 0.011798 memory: 1634 2023/08/08 14:31:32 - mmengine - INFO - Epoch(val) [70][100/127] eta: 0:00:05 time: 0.198337 data_time: 0.011805 memory: 1634 2023/08/08 14:31:34 - mmengine - INFO - Epoch(val) [70][110/127] eta: 0:00:03 time: 0.198333 data_time: 0.011973 memory: 1634 2023/08/08 14:31:36 - mmengine - INFO - Epoch(val) [70][120/127] eta: 0:00:01 time: 0.198657 data_time: 0.012190 memory: 1634 2023/08/08 14:31:37 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 14:31:38 - mmengine - INFO - Evaluating AUC... 2023/08/08 14:31:38 - mmengine - INFO - Evaluating EPE... 2023/08/08 14:31:38 - mmengine - INFO - Epoch(val) [70][127/127] PCK: 0.981649 AUC: 0.672358 EPE: 11.875464 data_time: 0.012745 time: 0.198049 2023/08/08 14:31:38 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_60.pth is removed 2023/08/08 14:31:40 - mmengine - INFO - The best checkpoint with 0.6724 AUC at 70 epoch is saved to best_AUC_epoch_70.pth. 2023/08/08 14:31:48 - mmengine - INFO - Epoch(train) [71][ 10/529] lr: 5.000000e-04 eta: 7:21:15 time: 0.361286 data_time: 0.035583 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.940776 2023/08/08 14:31:51 - mmengine - INFO - Epoch(train) [71][ 20/529] lr: 5.000000e-04 eta: 7:21:12 time: 0.364305 data_time: 0.035842 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.906225 2023/08/08 14:31:55 - mmengine - INFO - Epoch(train) [71][ 30/529] lr: 5.000000e-04 eta: 7:21:08 time: 0.365747 data_time: 0.035392 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.901657 2023/08/08 14:31:58 - mmengine - INFO - Epoch(train) [71][ 40/529] lr: 5.000000e-04 eta: 7:21:04 time: 0.365278 data_time: 0.034813 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.856598 2023/08/08 14:32:02 - mmengine - INFO - Epoch(train) [71][ 50/529] lr: 5.000000e-04 eta: 7:21:01 time: 0.364102 data_time: 0.035565 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.825042 2023/08/08 14:32:06 - mmengine - INFO - Epoch(train) [71][ 60/529] lr: 5.000000e-04 eta: 7:20:57 time: 0.356393 data_time: 0.031776 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.850654 2023/08/08 14:32:09 - mmengine - INFO - Epoch(train) [71][ 70/529] lr: 5.000000e-04 eta: 7:20:54 time: 0.359753 data_time: 0.035754 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.878269 2023/08/08 14:32:13 - mmengine - INFO - Epoch(train) [71][ 80/529] lr: 5.000000e-04 eta: 7:20:50 time: 0.359146 data_time: 0.035611 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.821018 2023/08/08 14:32:17 - mmengine - INFO - Epoch(train) [71][ 90/529] lr: 5.000000e-04 eta: 7:20:47 time: 0.361029 data_time: 0.036093 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.849298 2023/08/08 14:32:20 - mmengine - INFO - Epoch(train) [71][100/529] lr: 5.000000e-04 eta: 7:20:43 time: 0.362082 data_time: 0.036761 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.845723 2023/08/08 14:32:24 - mmengine - INFO - Epoch(train) [71][110/529] lr: 5.000000e-04 eta: 7:20:40 time: 0.361783 data_time: 0.036880 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.819628 2023/08/08 14:32:27 - mmengine - INFO - Epoch(train) [71][120/529] lr: 5.000000e-04 eta: 7:20:36 time: 0.356121 data_time: 0.033029 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.877857 2023/08/08 14:32:31 - mmengine - INFO - Epoch(train) [71][130/529] lr: 5.000000e-04 eta: 7:20:32 time: 0.357388 data_time: 0.034035 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.857747 2023/08/08 14:32:34 - mmengine - INFO - Epoch(train) [71][140/529] lr: 5.000000e-04 eta: 7:20:29 time: 0.357781 data_time: 0.033986 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.832708 2023/08/08 14:32:38 - mmengine - INFO - Epoch(train) [71][150/529] lr: 5.000000e-04 eta: 7:20:25 time: 0.358560 data_time: 0.033662 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.872632 2023/08/08 14:32:42 - mmengine - INFO - Epoch(train) [71][160/529] lr: 5.000000e-04 eta: 7:20:22 time: 0.358279 data_time: 0.033012 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.843717 2023/08/08 14:32:45 - mmengine - INFO - Epoch(train) [71][170/529] lr: 5.000000e-04 eta: 7:20:18 time: 0.358010 data_time: 0.032582 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.929436 2023/08/08 14:32:49 - mmengine - INFO - Epoch(train) [71][180/529] lr: 5.000000e-04 eta: 7:20:14 time: 0.356262 data_time: 0.031310 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.864552 2023/08/08 14:32:52 - mmengine - INFO - Epoch(train) [71][190/529] lr: 5.000000e-04 eta: 7:20:11 time: 0.357286 data_time: 0.030822 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.797446 2023/08/08 14:32:56 - mmengine - INFO - Epoch(train) [71][200/529] lr: 5.000000e-04 eta: 7:20:07 time: 0.357178 data_time: 0.030760 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.933865 2023/08/08 14:32:59 - mmengine - INFO - Epoch(train) [71][210/529] lr: 5.000000e-04 eta: 7:20:04 time: 0.357326 data_time: 0.031020 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.914776 2023/08/08 14:33:03 - mmengine - INFO - Epoch(train) [71][220/529] lr: 5.000000e-04 eta: 7:20:00 time: 0.360105 data_time: 0.031872 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.837193 2023/08/08 14:33:07 - mmengine - INFO - Epoch(train) [71][230/529] lr: 5.000000e-04 eta: 7:19:57 time: 0.360299 data_time: 0.032186 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.877582 2023/08/08 14:33:10 - mmengine - INFO - Epoch(train) [71][240/529] lr: 5.000000e-04 eta: 7:19:53 time: 0.360909 data_time: 0.032740 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.904139 2023/08/08 14:33:14 - mmengine - INFO - Epoch(train) [71][250/529] lr: 5.000000e-04 eta: 7:19:50 time: 0.359510 data_time: 0.032670 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.862112 2023/08/08 14:33:18 - mmengine - INFO - Epoch(train) [71][260/529] lr: 5.000000e-04 eta: 7:19:46 time: 0.362418 data_time: 0.033600 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.888746 2023/08/08 14:33:21 - mmengine - INFO - Epoch(train) [71][270/529] lr: 5.000000e-04 eta: 7:19:43 time: 0.360723 data_time: 0.033145 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.866201 2023/08/08 14:33:25 - mmengine - INFO - Epoch(train) [71][280/529] lr: 5.000000e-04 eta: 7:19:39 time: 0.363286 data_time: 0.033966 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.877757 2023/08/08 14:33:28 - mmengine - INFO - Epoch(train) [71][290/529] lr: 5.000000e-04 eta: 7:19:36 time: 0.359749 data_time: 0.033406 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.878241 2023/08/08 14:33:32 - mmengine - INFO - Epoch(train) [71][300/529] lr: 5.000000e-04 eta: 7:19:32 time: 0.358877 data_time: 0.033150 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.851978 2023/08/08 14:33:35 - mmengine - INFO - Epoch(train) [71][310/529] lr: 5.000000e-04 eta: 7:19:28 time: 0.356676 data_time: 0.032595 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.917211 2023/08/08 14:33:39 - mmengine - INFO - Epoch(train) [71][320/529] lr: 5.000000e-04 eta: 7:19:25 time: 0.359118 data_time: 0.032618 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.898252 2023/08/08 14:33:43 - mmengine - INFO - Epoch(train) [71][330/529] lr: 5.000000e-04 eta: 7:19:22 time: 0.364782 data_time: 0.032327 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.850183 2023/08/08 14:33:47 - mmengine - INFO - Epoch(train) [71][340/529] lr: 5.000000e-04 eta: 7:19:20 time: 0.373767 data_time: 0.032957 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.908902 2023/08/08 14:33:51 - mmengine - INFO - Epoch(train) [71][350/529] lr: 5.000000e-04 eta: 7:19:16 time: 0.378109 data_time: 0.033452 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.907320 2023/08/08 14:33:54 - mmengine - INFO - Epoch(train) [71][360/529] lr: 5.000000e-04 eta: 7:19:13 time: 0.380506 data_time: 0.033291 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.840606 2023/08/08 14:33:58 - mmengine - INFO - Epoch(train) [71][370/529] lr: 5.000000e-04 eta: 7:19:09 time: 0.377981 data_time: 0.033179 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.853212 2023/08/08 14:34:02 - mmengine - INFO - Epoch(train) [71][380/529] lr: 5.000000e-04 eta: 7:19:06 time: 0.370148 data_time: 0.032752 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.817066 2023/08/08 14:34:05 - mmengine - INFO - Epoch(train) [71][390/529] lr: 5.000000e-04 eta: 7:19:02 time: 0.365815 data_time: 0.036225 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.833861 2023/08/08 14:34:09 - mmengine - INFO - Epoch(train) [71][400/529] lr: 5.000000e-04 eta: 7:18:59 time: 0.363603 data_time: 0.036076 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.873954 2023/08/08 14:34:13 - mmengine - INFO - Epoch(train) [71][410/529] lr: 5.000000e-04 eta: 7:18:55 time: 0.361519 data_time: 0.036070 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.859769 2023/08/08 14:34:16 - mmengine - INFO - Epoch(train) [71][420/529] lr: 5.000000e-04 eta: 7:18:52 time: 0.360974 data_time: 0.036352 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.858301 2023/08/08 14:34:20 - mmengine - INFO - Epoch(train) [71][430/529] lr: 5.000000e-04 eta: 7:18:48 time: 0.361924 data_time: 0.036498 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.903754 2023/08/08 14:34:24 - mmengine - INFO - Epoch(train) [71][440/529] lr: 5.000000e-04 eta: 7:18:45 time: 0.365399 data_time: 0.033140 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.745420 2023/08/08 14:34:27 - mmengine - INFO - Epoch(train) [71][450/529] lr: 5.000000e-04 eta: 7:18:42 time: 0.364151 data_time: 0.033632 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.907104 2023/08/08 14:34:31 - mmengine - INFO - Epoch(train) [71][460/529] lr: 5.000000e-04 eta: 7:18:38 time: 0.361435 data_time: 0.033400 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.836773 2023/08/08 14:34:34 - mmengine - INFO - Epoch(train) [71][470/529] lr: 5.000000e-04 eta: 7:18:34 time: 0.361888 data_time: 0.033193 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.903386 2023/08/08 14:34:38 - mmengine - INFO - Epoch(train) [71][480/529] lr: 5.000000e-04 eta: 7:18:31 time: 0.359689 data_time: 0.032899 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.843478 2023/08/08 14:34:41 - mmengine - INFO - Epoch(train) [71][490/529] lr: 5.000000e-04 eta: 7:18:27 time: 0.351227 data_time: 0.032748 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.873452 2023/08/08 14:34:45 - mmengine - INFO - Epoch(train) [71][500/529] lr: 5.000000e-04 eta: 7:18:23 time: 0.350810 data_time: 0.033036 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.832237 2023/08/08 14:34:48 - mmengine - INFO - Epoch(train) [71][510/529] lr: 5.000000e-04 eta: 7:18:20 time: 0.353241 data_time: 0.034117 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.856682 2023/08/08 14:34:52 - mmengine - INFO - Epoch(train) [71][520/529] lr: 5.000000e-04 eta: 7:18:17 time: 0.358886 data_time: 0.034259 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.855489 2023/08/08 14:34:56 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:35:00 - mmengine - INFO - Epoch(train) [72][ 10/529] lr: 5.000000e-04 eta: 7:18:11 time: 0.373051 data_time: 0.038422 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.861375 2023/08/08 14:35:03 - mmengine - INFO - Epoch(train) [72][ 20/529] lr: 5.000000e-04 eta: 7:18:07 time: 0.372015 data_time: 0.037625 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.847116 2023/08/08 14:35:07 - mmengine - INFO - Epoch(train) [72][ 30/529] lr: 5.000000e-04 eta: 7:18:03 time: 0.371845 data_time: 0.037718 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.848320 2023/08/08 14:35:10 - mmengine - INFO - Epoch(train) [72][ 40/529] lr: 5.000000e-04 eta: 7:18:00 time: 0.367032 data_time: 0.038239 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.869575 2023/08/08 14:35:14 - mmengine - INFO - Epoch(train) [72][ 50/529] lr: 5.000000e-04 eta: 7:17:57 time: 0.364293 data_time: 0.038451 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.865410 2023/08/08 14:35:18 - mmengine - INFO - Epoch(train) [72][ 60/529] lr: 5.000000e-04 eta: 7:17:54 time: 0.366330 data_time: 0.034340 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.838826 2023/08/08 14:35:21 - mmengine - INFO - Epoch(train) [72][ 70/529] lr: 5.000000e-04 eta: 7:17:50 time: 0.368533 data_time: 0.034483 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.833359 2023/08/08 14:35:25 - mmengine - INFO - Epoch(train) [72][ 80/529] lr: 5.000000e-04 eta: 7:17:47 time: 0.368222 data_time: 0.033304 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.895665 2023/08/08 14:35:28 - mmengine - INFO - Epoch(train) [72][ 90/529] lr: 5.000000e-04 eta: 7:17:43 time: 0.366353 data_time: 0.032347 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.913965 2023/08/08 14:35:32 - mmengine - INFO - Epoch(train) [72][100/529] lr: 5.000000e-04 eta: 7:17:39 time: 0.360275 data_time: 0.031641 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.853961 2023/08/08 14:35:35 - mmengine - INFO - Epoch(train) [72][110/529] lr: 5.000000e-04 eta: 7:17:35 time: 0.352655 data_time: 0.031778 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.869610 2023/08/08 14:35:39 - mmengine - INFO - Epoch(train) [72][120/529] lr: 5.000000e-04 eta: 7:17:32 time: 0.351454 data_time: 0.031458 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.841618 2023/08/08 14:35:43 - mmengine - INFO - Epoch(train) [72][130/529] lr: 5.000000e-04 eta: 7:17:28 time: 0.353735 data_time: 0.031877 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.889283 2023/08/08 14:35:46 - mmengine - INFO - Epoch(train) [72][140/529] lr: 5.000000e-04 eta: 7:17:25 time: 0.354112 data_time: 0.031856 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.857257 2023/08/08 14:35:50 - mmengine - INFO - Epoch(train) [72][150/529] lr: 5.000000e-04 eta: 7:17:21 time: 0.355773 data_time: 0.032288 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.913675 2023/08/08 14:35:53 - mmengine - INFO - Epoch(train) [72][160/529] lr: 5.000000e-04 eta: 7:17:18 time: 0.356985 data_time: 0.032288 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.829175 2023/08/08 14:35:57 - mmengine - INFO - Epoch(train) [72][170/529] lr: 5.000000e-04 eta: 7:17:15 time: 0.364864 data_time: 0.032874 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.879085 2023/08/08 14:36:01 - mmengine - INFO - Epoch(train) [72][180/529] lr: 5.000000e-04 eta: 7:17:11 time: 0.363235 data_time: 0.032726 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.918150 2023/08/08 14:36:05 - mmengine - INFO - Epoch(train) [72][190/529] lr: 5.000000e-04 eta: 7:17:08 time: 0.370378 data_time: 0.033237 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.852537 2023/08/08 14:36:08 - mmengine - INFO - Epoch(train) [72][200/529] lr: 5.000000e-04 eta: 7:17:05 time: 0.372413 data_time: 0.033124 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.864538 2023/08/08 14:36:12 - mmengine - INFO - Epoch(train) [72][210/529] lr: 5.000000e-04 eta: 7:17:01 time: 0.371183 data_time: 0.032941 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.834970 2023/08/08 14:36:16 - mmengine - INFO - Epoch(train) [72][220/529] lr: 5.000000e-04 eta: 7:16:57 time: 0.365226 data_time: 0.032972 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.911424 2023/08/08 14:36:19 - mmengine - INFO - Epoch(train) [72][230/529] lr: 5.000000e-04 eta: 7:16:54 time: 0.365688 data_time: 0.033391 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.861122 2023/08/08 14:36:23 - mmengine - INFO - Epoch(train) [72][240/529] lr: 5.000000e-04 eta: 7:16:50 time: 0.360559 data_time: 0.033294 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.863280 2023/08/08 14:36:26 - mmengine - INFO - Epoch(train) [72][250/529] lr: 5.000000e-04 eta: 7:16:47 time: 0.358734 data_time: 0.033240 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.805557 2023/08/08 14:36:30 - mmengine - INFO - Epoch(train) [72][260/529] lr: 5.000000e-04 eta: 7:16:43 time: 0.361388 data_time: 0.034292 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.852887 2023/08/08 14:36:33 - mmengine - INFO - Epoch(train) [72][270/529] lr: 5.000000e-04 eta: 7:16:40 time: 0.359588 data_time: 0.034550 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.849838 2023/08/08 14:36:37 - mmengine - INFO - Epoch(train) [72][280/529] lr: 5.000000e-04 eta: 7:16:36 time: 0.358190 data_time: 0.034788 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.820266 2023/08/08 14:36:41 - mmengine - INFO - Epoch(train) [72][290/529] lr: 5.000000e-04 eta: 7:16:32 time: 0.355982 data_time: 0.035251 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.891826 2023/08/08 14:36:44 - mmengine - INFO - Epoch(train) [72][300/529] lr: 5.000000e-04 eta: 7:16:29 time: 0.356044 data_time: 0.036072 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.862011 2023/08/08 14:36:48 - mmengine - INFO - Epoch(train) [72][310/529] lr: 5.000000e-04 eta: 7:16:25 time: 0.354438 data_time: 0.035187 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.894751 2023/08/08 14:36:52 - mmengine - INFO - Epoch(train) [72][320/529] lr: 5.000000e-04 eta: 7:16:22 time: 0.360097 data_time: 0.034632 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.895807 2023/08/08 14:36:55 - mmengine - INFO - Epoch(train) [72][330/529] lr: 5.000000e-04 eta: 7:16:18 time: 0.360669 data_time: 0.034055 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.889246 2023/08/08 14:36:59 - mmengine - INFO - Epoch(train) [72][340/529] lr: 5.000000e-04 eta: 7:16:15 time: 0.360845 data_time: 0.033203 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.911396 2023/08/08 14:37:02 - mmengine - INFO - Epoch(train) [72][350/529] lr: 5.000000e-04 eta: 7:16:11 time: 0.359375 data_time: 0.032055 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.903846 2023/08/08 14:37:06 - mmengine - INFO - Epoch(train) [72][360/529] lr: 5.000000e-04 eta: 7:16:07 time: 0.358612 data_time: 0.031788 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.869558 2023/08/08 14:37:09 - mmengine - INFO - Epoch(train) [72][370/529] lr: 5.000000e-04 eta: 7:16:04 time: 0.354584 data_time: 0.031827 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.831682 2023/08/08 14:37:13 - mmengine - INFO - Epoch(train) [72][380/529] lr: 5.000000e-04 eta: 7:16:01 time: 0.357033 data_time: 0.031810 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.888967 2023/08/08 14:37:17 - mmengine - INFO - Epoch(train) [72][390/529] lr: 5.000000e-04 eta: 7:15:57 time: 0.362380 data_time: 0.035728 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.851172 2023/08/08 14:37:20 - mmengine - INFO - Epoch(train) [72][400/529] lr: 5.000000e-04 eta: 7:15:54 time: 0.363927 data_time: 0.036456 memory: 4565 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.805491 2023/08/08 14:37:24 - mmengine - INFO - Epoch(train) [72][410/529] lr: 5.000000e-04 eta: 7:15:50 time: 0.363106 data_time: 0.036286 memory: 4565 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.846735 2023/08/08 14:37:27 - mmengine - INFO - Epoch(train) [72][420/529] lr: 5.000000e-04 eta: 7:15:47 time: 0.362978 data_time: 0.036351 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.852452 2023/08/08 14:37:31 - mmengine - INFO - Epoch(train) [72][430/529] lr: 5.000000e-04 eta: 7:15:43 time: 0.362177 data_time: 0.036435 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.826803 2023/08/08 14:37:35 - mmengine - INFO - Epoch(train) [72][440/529] lr: 5.000000e-04 eta: 7:15:39 time: 0.357471 data_time: 0.033009 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.871777 2023/08/08 14:37:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:37:38 - mmengine - INFO - Epoch(train) [72][450/529] lr: 5.000000e-04 eta: 7:15:36 time: 0.357977 data_time: 0.032778 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.866529 2023/08/08 14:37:42 - mmengine - INFO - Epoch(train) [72][460/529] lr: 5.000000e-04 eta: 7:15:32 time: 0.357841 data_time: 0.033321 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.819882 2023/08/08 14:37:45 - mmengine - INFO - Epoch(train) [72][470/529] lr: 5.000000e-04 eta: 7:15:29 time: 0.359840 data_time: 0.033669 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.881281 2023/08/08 14:37:49 - mmengine - INFO - Epoch(train) [72][480/529] lr: 5.000000e-04 eta: 7:15:25 time: 0.358237 data_time: 0.033656 memory: 4565 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.848986 2023/08/08 14:37:52 - mmengine - INFO - Epoch(train) [72][490/529] lr: 5.000000e-04 eta: 7:15:22 time: 0.358646 data_time: 0.033344 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.922148 2023/08/08 14:37:56 - mmengine - INFO - Epoch(train) [72][500/529] lr: 5.000000e-04 eta: 7:15:18 time: 0.357892 data_time: 0.032939 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.825616 2023/08/08 14:38:00 - mmengine - INFO - Epoch(train) [72][510/529] lr: 5.000000e-04 eta: 7:15:15 time: 0.359633 data_time: 0.032687 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.879811 2023/08/08 14:38:03 - mmengine - INFO - Epoch(train) [72][520/529] lr: 5.000000e-04 eta: 7:15:11 time: 0.358623 data_time: 0.031845 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.841262 2023/08/08 14:38:06 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:38:10 - mmengine - INFO - Epoch(train) [73][ 10/529] lr: 5.000000e-04 eta: 7:15:04 time: 0.360183 data_time: 0.035112 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.884431 2023/08/08 14:38:14 - mmengine - INFO - Epoch(train) [73][ 20/529] lr: 5.000000e-04 eta: 7:15:01 time: 0.361736 data_time: 0.035486 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.881288 2023/08/08 14:38:18 - mmengine - INFO - Epoch(train) [73][ 30/529] lr: 5.000000e-04 eta: 7:14:58 time: 0.366910 data_time: 0.035907 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.875779 2023/08/08 14:38:21 - mmengine - INFO - Epoch(train) [73][ 40/529] lr: 5.000000e-04 eta: 7:14:55 time: 0.368478 data_time: 0.037487 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.834821 2023/08/08 14:38:25 - mmengine - INFO - Epoch(train) [73][ 50/529] lr: 5.000000e-04 eta: 7:14:51 time: 0.371324 data_time: 0.037782 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.848053 2023/08/08 14:38:29 - mmengine - INFO - Epoch(train) [73][ 60/529] lr: 5.000000e-04 eta: 7:14:48 time: 0.371025 data_time: 0.037080 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.866749 2023/08/08 14:38:32 - mmengine - INFO - Epoch(train) [73][ 70/529] lr: 5.000000e-04 eta: 7:14:44 time: 0.369108 data_time: 0.036976 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.865675 2023/08/08 14:38:36 - mmengine - INFO - Epoch(train) [73][ 80/529] lr: 5.000000e-04 eta: 7:14:41 time: 0.363851 data_time: 0.037186 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.849318 2023/08/08 14:38:40 - mmengine - INFO - Epoch(train) [73][ 90/529] lr: 5.000000e-04 eta: 7:14:37 time: 0.362262 data_time: 0.035670 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.901156 2023/08/08 14:38:43 - mmengine - INFO - Epoch(train) [73][100/529] lr: 5.000000e-04 eta: 7:14:34 time: 0.361576 data_time: 0.036048 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.867988 2023/08/08 14:38:47 - mmengine - INFO - Epoch(train) [73][110/529] lr: 5.000000e-04 eta: 7:14:30 time: 0.361345 data_time: 0.032993 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.871431 2023/08/08 14:38:50 - mmengine - INFO - Epoch(train) [73][120/529] lr: 5.000000e-04 eta: 7:14:27 time: 0.362510 data_time: 0.032773 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.894904 2023/08/08 14:38:54 - mmengine - INFO - Epoch(train) [73][130/529] lr: 5.000000e-04 eta: 7:14:24 time: 0.369381 data_time: 0.032549 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.832414 2023/08/08 14:38:58 - mmengine - INFO - Epoch(train) [73][140/529] lr: 5.000000e-04 eta: 7:14:21 time: 0.375070 data_time: 0.033250 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.824405 2023/08/08 14:39:02 - mmengine - INFO - Epoch(train) [73][150/529] lr: 5.000000e-04 eta: 7:14:18 time: 0.381120 data_time: 0.033567 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.827868 2023/08/08 14:39:06 - mmengine - INFO - Epoch(train) [73][160/529] lr: 5.000000e-04 eta: 7:14:15 time: 0.380812 data_time: 0.033590 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.855592 2023/08/08 14:39:10 - mmengine - INFO - Epoch(train) [73][170/529] lr: 5.000000e-04 eta: 7:14:12 time: 0.388799 data_time: 0.035470 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.807989 2023/08/08 14:39:14 - mmengine - INFO - Epoch(train) [73][180/529] lr: 5.000000e-04 eta: 7:14:08 time: 0.383518 data_time: 0.035229 memory: 4565 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.770244 2023/08/08 14:39:17 - mmengine - INFO - Epoch(train) [73][190/529] lr: 5.000000e-04 eta: 7:14:05 time: 0.376194 data_time: 0.034648 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.851323 2023/08/08 14:39:21 - mmengine - INFO - Epoch(train) [73][200/529] lr: 5.000000e-04 eta: 7:14:01 time: 0.369314 data_time: 0.034091 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.898943 2023/08/08 14:39:24 - mmengine - INFO - Epoch(train) [73][210/529] lr: 5.000000e-04 eta: 7:13:58 time: 0.368225 data_time: 0.034122 memory: 4565 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.869742 2023/08/08 14:39:28 - mmengine - INFO - Epoch(train) [73][220/529] lr: 5.000000e-04 eta: 7:13:55 time: 0.364164 data_time: 0.032407 memory: 4565 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.798195 2023/08/08 14:39:32 - mmengine - INFO - Epoch(train) [73][230/529] lr: 5.000000e-04 eta: 7:13:52 time: 0.368128 data_time: 0.032508 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.895777 2023/08/08 14:39:36 - mmengine - INFO - Epoch(train) [73][240/529] lr: 5.000000e-04 eta: 7:13:49 time: 0.374162 data_time: 0.036545 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.775788 2023/08/08 14:39:39 - mmengine - INFO - Epoch(train) [73][250/529] lr: 5.000000e-04 eta: 7:13:45 time: 0.375244 data_time: 0.036516 memory: 4565 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.868683 2023/08/08 14:39:43 - mmengine - INFO - Epoch(train) [73][260/529] lr: 5.000000e-04 eta: 7:13:42 time: 0.380138 data_time: 0.035876 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.872557 2023/08/08 14:39:47 - mmengine - INFO - Epoch(train) [73][270/529] lr: 5.000000e-04 eta: 7:13:39 time: 0.378134 data_time: 0.036106 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.894618 2023/08/08 14:39:51 - mmengine - INFO - Epoch(train) [73][280/529] lr: 5.000000e-04 eta: 7:13:35 time: 0.373454 data_time: 0.035908 memory: 4565 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.817008 2023/08/08 14:39:54 - mmengine - INFO - Epoch(train) [73][290/529] lr: 5.000000e-04 eta: 7:13:32 time: 0.369356 data_time: 0.032168 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.868068 2023/08/08 14:39:58 - mmengine - INFO - Epoch(train) [73][300/529] lr: 5.000000e-04 eta: 7:13:28 time: 0.367817 data_time: 0.031776 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.875273 2023/08/08 14:40:01 - mmengine - INFO - Epoch(train) [73][310/529] lr: 5.000000e-04 eta: 7:13:24 time: 0.360309 data_time: 0.032051 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.917398 2023/08/08 14:40:05 - mmengine - INFO - Epoch(train) [73][320/529] lr: 5.000000e-04 eta: 7:13:21 time: 0.357474 data_time: 0.031865 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.844722 2023/08/08 14:40:08 - mmengine - INFO - Epoch(train) [73][330/529] lr: 5.000000e-04 eta: 7:13:17 time: 0.356555 data_time: 0.031861 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.855502 2023/08/08 14:40:12 - mmengine - INFO - Epoch(train) [73][340/529] lr: 5.000000e-04 eta: 7:13:14 time: 0.356098 data_time: 0.031573 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.869928 2023/08/08 14:40:16 - mmengine - INFO - Epoch(train) [73][350/529] lr: 5.000000e-04 eta: 7:13:11 time: 0.361839 data_time: 0.032065 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.839232 2023/08/08 14:40:19 - mmengine - INFO - Epoch(train) [73][360/529] lr: 5.000000e-04 eta: 7:13:07 time: 0.363331 data_time: 0.032420 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.863154 2023/08/08 14:40:23 - mmengine - INFO - Epoch(train) [73][370/529] lr: 5.000000e-04 eta: 7:13:03 time: 0.363298 data_time: 0.032438 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.833488 2023/08/08 14:40:27 - mmengine - INFO - Epoch(train) [73][380/529] lr: 5.000000e-04 eta: 7:13:00 time: 0.370283 data_time: 0.032681 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.851106 2023/08/08 14:40:31 - mmengine - INFO - Epoch(train) [73][390/529] lr: 5.000000e-04 eta: 7:12:58 time: 0.376398 data_time: 0.032489 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.866265 2023/08/08 14:40:35 - mmengine - INFO - Epoch(train) [73][400/529] lr: 5.000000e-04 eta: 7:12:54 time: 0.373786 data_time: 0.032280 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.887719 2023/08/08 14:40:38 - mmengine - INFO - Epoch(train) [73][410/529] lr: 5.000000e-04 eta: 7:12:51 time: 0.377601 data_time: 0.035553 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.862801 2023/08/08 14:40:42 - mmengine - INFO - Epoch(train) [73][420/529] lr: 5.000000e-04 eta: 7:12:47 time: 0.377626 data_time: 0.035758 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.821245 2023/08/08 14:40:45 - mmengine - INFO - Epoch(train) [73][430/529] lr: 5.000000e-04 eta: 7:12:44 time: 0.369329 data_time: 0.035256 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.866492 2023/08/08 14:40:49 - mmengine - INFO - Epoch(train) [73][440/529] lr: 5.000000e-04 eta: 7:12:40 time: 0.361897 data_time: 0.035955 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.900501 2023/08/08 14:40:53 - mmengine - INFO - Epoch(train) [73][450/529] lr: 5.000000e-04 eta: 7:12:36 time: 0.360100 data_time: 0.036194 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.902931 2023/08/08 14:40:56 - mmengine - INFO - Epoch(train) [73][460/529] lr: 5.000000e-04 eta: 7:12:33 time: 0.358265 data_time: 0.032631 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.862474 2023/08/08 14:41:00 - mmengine - INFO - Epoch(train) [73][470/529] lr: 5.000000e-04 eta: 7:12:30 time: 0.361564 data_time: 0.033244 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.847317 2023/08/08 14:41:04 - mmengine - INFO - Epoch(train) [73][480/529] lr: 5.000000e-04 eta: 7:12:26 time: 0.363822 data_time: 0.033413 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.864407 2023/08/08 14:41:07 - mmengine - INFO - Epoch(train) [73][490/529] lr: 5.000000e-04 eta: 7:12:23 time: 0.363902 data_time: 0.032565 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.892514 2023/08/08 14:41:11 - mmengine - INFO - Epoch(train) [73][500/529] lr: 5.000000e-04 eta: 7:12:19 time: 0.363447 data_time: 0.032489 memory: 4565 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.889121 2023/08/08 14:41:14 - mmengine - INFO - Epoch(train) [73][510/529] lr: 5.000000e-04 eta: 7:12:16 time: 0.362013 data_time: 0.032329 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.859709 2023/08/08 14:41:18 - mmengine - INFO - Epoch(train) [73][520/529] lr: 5.000000e-04 eta: 7:12:12 time: 0.359473 data_time: 0.031286 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.932133 2023/08/08 14:41:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:41:25 - mmengine - INFO - Epoch(train) [74][ 10/529] lr: 5.000000e-04 eta: 7:12:06 time: 0.367032 data_time: 0.039676 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.832672 2023/08/08 14:41:29 - mmengine - INFO - Epoch(train) [74][ 20/529] lr: 5.000000e-04 eta: 7:12:03 time: 0.367233 data_time: 0.039390 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.837170 2023/08/08 14:41:32 - mmengine - INFO - Epoch(train) [74][ 30/529] lr: 5.000000e-04 eta: 7:11:59 time: 0.368494 data_time: 0.039413 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.929733 2023/08/08 14:41:36 - mmengine - INFO - Epoch(train) [74][ 40/529] lr: 5.000000e-04 eta: 7:11:55 time: 0.367442 data_time: 0.039740 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.827770 2023/08/08 14:41:40 - mmengine - INFO - Epoch(train) [74][ 50/529] lr: 5.000000e-04 eta: 7:11:52 time: 0.368573 data_time: 0.040799 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.888666 2023/08/08 14:41:43 - mmengine - INFO - Epoch(train) [74][ 60/529] lr: 5.000000e-04 eta: 7:11:48 time: 0.358837 data_time: 0.031896 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.816213 2023/08/08 14:41:47 - mmengine - INFO - Epoch(train) [74][ 70/529] lr: 5.000000e-04 eta: 7:11:45 time: 0.359726 data_time: 0.033119 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.894412 2023/08/08 14:41:51 - mmengine - INFO - Epoch(train) [74][ 80/529] lr: 5.000000e-04 eta: 7:11:42 time: 0.364252 data_time: 0.033666 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.890879 2023/08/08 14:41:55 - mmengine - INFO - Epoch(train) [74][ 90/529] lr: 5.000000e-04 eta: 7:11:39 time: 0.371852 data_time: 0.033252 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.893616 2023/08/08 14:41:59 - mmengine - INFO - Epoch(train) [74][100/529] lr: 5.000000e-04 eta: 7:11:36 time: 0.378478 data_time: 0.032804 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.860906 2023/08/08 14:42:02 - mmengine - INFO - Epoch(train) [74][110/529] lr: 5.000000e-04 eta: 7:11:33 time: 0.384465 data_time: 0.032756 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.845871 2023/08/08 14:42:06 - mmengine - INFO - Epoch(train) [74][120/529] lr: 5.000000e-04 eta: 7:11:29 time: 0.384213 data_time: 0.032368 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.914565 2023/08/08 14:42:10 - mmengine - INFO - Epoch(train) [74][130/529] lr: 5.000000e-04 eta: 7:11:26 time: 0.379745 data_time: 0.032081 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.819466 2023/08/08 14:42:13 - mmengine - INFO - Epoch(train) [74][140/529] lr: 5.000000e-04 eta: 7:11:23 time: 0.374366 data_time: 0.032551 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.878220 2023/08/08 14:42:17 - mmengine - INFO - Epoch(train) [74][150/529] lr: 5.000000e-04 eta: 7:11:19 time: 0.368433 data_time: 0.032665 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.856181 2023/08/08 14:42:21 - mmengine - INFO - Epoch(train) [74][160/529] lr: 5.000000e-04 eta: 7:11:15 time: 0.361837 data_time: 0.032424 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.887093 2023/08/08 14:42:24 - mmengine - INFO - Epoch(train) [74][170/529] lr: 5.000000e-04 eta: 7:11:12 time: 0.364165 data_time: 0.035216 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.886121 2023/08/08 14:42:28 - mmengine - INFO - Epoch(train) [74][180/529] lr: 5.000000e-04 eta: 7:11:09 time: 0.363183 data_time: 0.035219 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.894448 2023/08/08 14:42:31 - mmengine - INFO - Epoch(train) [74][190/529] lr: 5.000000e-04 eta: 7:11:05 time: 0.361939 data_time: 0.035263 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.867757 2023/08/08 14:42:35 - mmengine - INFO - Epoch(train) [74][200/529] lr: 5.000000e-04 eta: 7:11:02 time: 0.365031 data_time: 0.035504 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.904222 2023/08/08 14:42:39 - mmengine - INFO - Epoch(train) [74][210/529] lr: 5.000000e-04 eta: 7:10:58 time: 0.367544 data_time: 0.035928 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.814411 2023/08/08 14:42:42 - mmengine - INFO - Epoch(train) [74][220/529] lr: 5.000000e-04 eta: 7:10:55 time: 0.365017 data_time: 0.033094 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.870984 2023/08/08 14:42:46 - mmengine - INFO - Epoch(train) [74][230/529] lr: 5.000000e-04 eta: 7:10:51 time: 0.364113 data_time: 0.033337 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.820857 2023/08/08 14:42:50 - mmengine - INFO - Epoch(train) [74][240/529] lr: 5.000000e-04 eta: 7:10:48 time: 0.371747 data_time: 0.033627 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.851203 2023/08/08 14:42:54 - mmengine - INFO - Epoch(train) [74][250/529] lr: 5.000000e-04 eta: 7:10:45 time: 0.367228 data_time: 0.033419 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.852797 2023/08/08 14:42:57 - mmengine - INFO - Epoch(train) [74][260/529] lr: 5.000000e-04 eta: 7:10:41 time: 0.366839 data_time: 0.033215 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.865047 2023/08/08 14:43:01 - mmengine - INFO - Epoch(train) [74][270/529] lr: 5.000000e-04 eta: 7:10:38 time: 0.365376 data_time: 0.032564 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.821893 2023/08/08 14:43:04 - mmengine - INFO - Epoch(train) [74][280/529] lr: 5.000000e-04 eta: 7:10:34 time: 0.365196 data_time: 0.032151 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.884200 2023/08/08 14:43:08 - mmengine - INFO - Epoch(train) [74][290/529] lr: 5.000000e-04 eta: 7:10:30 time: 0.356789 data_time: 0.031833 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.842642 2023/08/08 14:43:12 - mmengine - INFO - Epoch(train) [74][300/529] lr: 5.000000e-04 eta: 7:10:27 time: 0.361291 data_time: 0.031809 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.801445 2023/08/08 14:43:15 - mmengine - INFO - Epoch(train) [74][310/529] lr: 5.000000e-04 eta: 7:10:24 time: 0.359397 data_time: 0.031772 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.889951 2023/08/08 14:43:19 - mmengine - INFO - Epoch(train) [74][320/529] lr: 5.000000e-04 eta: 7:10:20 time: 0.361287 data_time: 0.031766 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.895778 2023/08/08 14:43:22 - mmengine - INFO - Epoch(train) [74][330/529] lr: 5.000000e-04 eta: 7:10:17 time: 0.361570 data_time: 0.031907 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.829764 2023/08/08 14:43:26 - mmengine - INFO - Epoch(train) [74][340/529] lr: 5.000000e-04 eta: 7:10:13 time: 0.360658 data_time: 0.031582 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.872859 2023/08/08 14:43:29 - mmengine - INFO - Epoch(train) [74][350/529] lr: 5.000000e-04 eta: 7:10:09 time: 0.355652 data_time: 0.031524 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.838366 2023/08/08 14:43:33 - mmengine - INFO - Epoch(train) [74][360/529] lr: 5.000000e-04 eta: 7:10:06 time: 0.356100 data_time: 0.031904 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.851600 2023/08/08 14:43:37 - mmengine - INFO - Epoch(train) [74][370/529] lr: 5.000000e-04 eta: 7:10:02 time: 0.358018 data_time: 0.032333 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.791773 2023/08/08 14:43:40 - mmengine - INFO - Epoch(train) [74][380/529] lr: 5.000000e-04 eta: 7:09:59 time: 0.358117 data_time: 0.032373 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.811273 2023/08/08 14:43:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:43:44 - mmengine - INFO - Epoch(train) [74][390/529] lr: 5.000000e-04 eta: 7:09:55 time: 0.360399 data_time: 0.032545 memory: 4565 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.899897 2023/08/08 14:43:48 - mmengine - INFO - Epoch(train) [74][400/529] lr: 5.000000e-04 eta: 7:09:52 time: 0.362444 data_time: 0.032863 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.834142 2023/08/08 14:43:51 - mmengine - INFO - Epoch(train) [74][410/529] lr: 5.000000e-04 eta: 7:09:48 time: 0.361992 data_time: 0.032237 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.873973 2023/08/08 14:43:55 - mmengine - INFO - Epoch(train) [74][420/529] lr: 5.000000e-04 eta: 7:09:44 time: 0.358761 data_time: 0.031640 memory: 4565 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.875505 2023/08/08 14:43:58 - mmengine - INFO - Epoch(train) [74][430/529] lr: 5.000000e-04 eta: 7:09:41 time: 0.357727 data_time: 0.031502 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.837830 2023/08/08 14:44:02 - mmengine - INFO - Epoch(train) [74][440/529] lr: 5.000000e-04 eta: 7:09:37 time: 0.357188 data_time: 0.031259 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.921902 2023/08/08 14:44:05 - mmengine - INFO - Epoch(train) [74][450/529] lr: 5.000000e-04 eta: 7:09:34 time: 0.357013 data_time: 0.030992 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.866561 2023/08/08 14:44:09 - mmengine - INFO - Epoch(train) [74][460/529] lr: 5.000000e-04 eta: 7:09:30 time: 0.359437 data_time: 0.031315 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.925700 2023/08/08 14:44:13 - mmengine - INFO - Epoch(train) [74][470/529] lr: 5.000000e-04 eta: 7:09:27 time: 0.359495 data_time: 0.031957 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.806746 2023/08/08 14:44:16 - mmengine - INFO - Epoch(train) [74][480/529] lr: 5.000000e-04 eta: 7:09:23 time: 0.359155 data_time: 0.031899 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.888290 2023/08/08 14:44:20 - mmengine - INFO - Epoch(train) [74][490/529] lr: 5.000000e-04 eta: 7:09:20 time: 0.359990 data_time: 0.032119 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.869914 2023/08/08 14:44:24 - mmengine - INFO - Epoch(train) [74][500/529] lr: 5.000000e-04 eta: 7:09:16 time: 0.362869 data_time: 0.036256 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.885181 2023/08/08 14:44:27 - mmengine - INFO - Epoch(train) [74][510/529] lr: 5.000000e-04 eta: 7:09:13 time: 0.360648 data_time: 0.036352 memory: 4565 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.863473 2023/08/08 14:44:31 - mmengine - INFO - Epoch(train) [74][520/529] lr: 5.000000e-04 eta: 7:09:09 time: 0.361110 data_time: 0.035938 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.876932 2023/08/08 14:44:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:44:38 - mmengine - INFO - Epoch(train) [75][ 10/529] lr: 5.000000e-04 eta: 7:09:03 time: 0.365585 data_time: 0.039840 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.922735 2023/08/08 14:44:41 - mmengine - INFO - Epoch(train) [75][ 20/529] lr: 5.000000e-04 eta: 7:08:59 time: 0.360778 data_time: 0.036431 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.887996 2023/08/08 14:44:45 - mmengine - INFO - Epoch(train) [75][ 30/529] lr: 5.000000e-04 eta: 7:08:56 time: 0.362592 data_time: 0.037717 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.895784 2023/08/08 14:44:49 - mmengine - INFO - Epoch(train) [75][ 40/529] lr: 5.000000e-04 eta: 7:08:52 time: 0.362003 data_time: 0.038345 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.883787 2023/08/08 14:44:52 - mmengine - INFO - Epoch(train) [75][ 50/529] lr: 5.000000e-04 eta: 7:08:49 time: 0.361112 data_time: 0.038964 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.864827 2023/08/08 14:44:56 - mmengine - INFO - Epoch(train) [75][ 60/529] lr: 5.000000e-04 eta: 7:08:45 time: 0.357917 data_time: 0.034481 memory: 4565 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.879186 2023/08/08 14:44:59 - mmengine - INFO - Epoch(train) [75][ 70/529] lr: 5.000000e-04 eta: 7:08:42 time: 0.362471 data_time: 0.033878 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.806950 2023/08/08 14:45:03 - mmengine - INFO - Epoch(train) [75][ 80/529] lr: 5.000000e-04 eta: 7:08:38 time: 0.360880 data_time: 0.033103 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.862784 2023/08/08 14:45:07 - mmengine - INFO - Epoch(train) [75][ 90/529] lr: 5.000000e-04 eta: 7:08:34 time: 0.362656 data_time: 0.033595 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.868602 2023/08/08 14:45:10 - mmengine - INFO - Epoch(train) [75][100/529] lr: 5.000000e-04 eta: 7:08:31 time: 0.360549 data_time: 0.033651 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.890146 2023/08/08 14:45:14 - mmengine - INFO - Epoch(train) [75][110/529] lr: 5.000000e-04 eta: 7:08:27 time: 0.362946 data_time: 0.034090 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.841466 2023/08/08 14:45:17 - mmengine - INFO - Epoch(train) [75][120/529] lr: 5.000000e-04 eta: 7:08:24 time: 0.360925 data_time: 0.034204 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.931853 2023/08/08 14:45:21 - mmengine - INFO - Epoch(train) [75][130/529] lr: 5.000000e-04 eta: 7:08:20 time: 0.361887 data_time: 0.033801 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.899669 2023/08/08 14:45:25 - mmengine - INFO - Epoch(train) [75][140/529] lr: 5.000000e-04 eta: 7:08:17 time: 0.359241 data_time: 0.032831 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.871465 2023/08/08 14:45:28 - mmengine - INFO - Epoch(train) [75][150/529] lr: 5.000000e-04 eta: 7:08:13 time: 0.357669 data_time: 0.032358 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.907682 2023/08/08 14:45:32 - mmengine - INFO - Epoch(train) [75][160/529] lr: 5.000000e-04 eta: 7:08:10 time: 0.358185 data_time: 0.032651 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.880533 2023/08/08 14:45:35 - mmengine - INFO - Epoch(train) [75][170/529] lr: 5.000000e-04 eta: 7:08:06 time: 0.357998 data_time: 0.032735 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.879932 2023/08/08 14:45:39 - mmengine - INFO - Epoch(train) [75][180/529] lr: 5.000000e-04 eta: 7:08:03 time: 0.363474 data_time: 0.036823 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.862170 2023/08/08 14:45:43 - mmengine - INFO - Epoch(train) [75][190/529] lr: 5.000000e-04 eta: 7:07:59 time: 0.364545 data_time: 0.037812 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.869647 2023/08/08 14:45:46 - mmengine - INFO - Epoch(train) [75][200/529] lr: 5.000000e-04 eta: 7:07:56 time: 0.365987 data_time: 0.038556 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.838623 2023/08/08 14:45:50 - mmengine - INFO - Epoch(train) [75][210/529] lr: 5.000000e-04 eta: 7:07:52 time: 0.364591 data_time: 0.038305 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.929936 2023/08/08 14:45:54 - mmengine - INFO - Epoch(train) [75][220/529] lr: 5.000000e-04 eta: 7:07:49 time: 0.364618 data_time: 0.039168 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.812486 2023/08/08 14:45:57 - mmengine - INFO - Epoch(train) [75][230/529] lr: 5.000000e-04 eta: 7:07:45 time: 0.357614 data_time: 0.034679 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.832226 2023/08/08 14:46:01 - mmengine - INFO - Epoch(train) [75][240/529] lr: 5.000000e-04 eta: 7:07:42 time: 0.363133 data_time: 0.033507 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.872765 2023/08/08 14:46:05 - mmengine - INFO - Epoch(train) [75][250/529] lr: 5.000000e-04 eta: 7:07:39 time: 0.366849 data_time: 0.032953 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.867659 2023/08/08 14:46:08 - mmengine - INFO - Epoch(train) [75][260/529] lr: 5.000000e-04 eta: 7:07:35 time: 0.365874 data_time: 0.032632 memory: 4565 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.863304 2023/08/08 14:46:12 - mmengine - INFO - Epoch(train) [75][270/529] lr: 5.000000e-04 eta: 7:07:31 time: 0.363905 data_time: 0.031828 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.886065 2023/08/08 14:46:15 - mmengine - INFO - Epoch(train) [75][280/529] lr: 5.000000e-04 eta: 7:07:28 time: 0.363738 data_time: 0.032361 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.868590 2023/08/08 14:46:19 - mmengine - INFO - Epoch(train) [75][290/529] lr: 5.000000e-04 eta: 7:07:25 time: 0.366089 data_time: 0.032207 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.919219 2023/08/08 14:46:23 - mmengine - INFO - Epoch(train) [75][300/529] lr: 5.000000e-04 eta: 7:07:22 time: 0.365379 data_time: 0.032422 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.860173 2023/08/08 14:46:27 - mmengine - INFO - Epoch(train) [75][310/529] lr: 5.000000e-04 eta: 7:07:18 time: 0.365648 data_time: 0.032348 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.899165 2023/08/08 14:46:30 - mmengine - INFO - Epoch(train) [75][320/529] lr: 5.000000e-04 eta: 7:07:14 time: 0.366357 data_time: 0.032130 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.863852 2023/08/08 14:46:34 - mmengine - INFO - Epoch(train) [75][330/529] lr: 5.000000e-04 eta: 7:07:11 time: 0.369643 data_time: 0.032500 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.879826 2023/08/08 14:46:37 - mmengine - INFO - Epoch(train) [75][340/529] lr: 5.000000e-04 eta: 7:07:07 time: 0.362212 data_time: 0.033167 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.832916 2023/08/08 14:46:41 - mmengine - INFO - Epoch(train) [75][350/529] lr: 5.000000e-04 eta: 7:07:04 time: 0.359412 data_time: 0.033389 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.873110 2023/08/08 14:46:45 - mmengine - INFO - Epoch(train) [75][360/529] lr: 5.000000e-04 eta: 7:07:00 time: 0.360048 data_time: 0.033742 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.924035 2023/08/08 14:46:48 - mmengine - INFO - Epoch(train) [75][370/529] lr: 5.000000e-04 eta: 7:06:57 time: 0.360334 data_time: 0.033923 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.861597 2023/08/08 14:46:52 - mmengine - INFO - Epoch(train) [75][380/529] lr: 5.000000e-04 eta: 7:06:53 time: 0.357968 data_time: 0.033207 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.878925 2023/08/08 14:46:55 - mmengine - INFO - Epoch(train) [75][390/529] lr: 5.000000e-04 eta: 7:06:49 time: 0.357269 data_time: 0.032576 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.890412 2023/08/08 14:46:59 - mmengine - INFO - Epoch(train) [75][400/529] lr: 5.000000e-04 eta: 7:06:46 time: 0.363315 data_time: 0.032552 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.862545 2023/08/08 14:47:03 - mmengine - INFO - Epoch(train) [75][410/529] lr: 5.000000e-04 eta: 7:06:43 time: 0.363717 data_time: 0.032587 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.921662 2023/08/08 14:47:07 - mmengine - INFO - Epoch(train) [75][420/529] lr: 5.000000e-04 eta: 7:06:40 time: 0.367137 data_time: 0.032660 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.893652 2023/08/08 14:47:10 - mmengine - INFO - Epoch(train) [75][430/529] lr: 5.000000e-04 eta: 7:06:36 time: 0.372197 data_time: 0.033145 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.889112 2023/08/08 14:47:14 - mmengine - INFO - Epoch(train) [75][440/529] lr: 5.000000e-04 eta: 7:06:33 time: 0.375102 data_time: 0.033259 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.762693 2023/08/08 14:47:18 - mmengine - INFO - Epoch(train) [75][450/529] lr: 5.000000e-04 eta: 7:06:30 time: 0.370154 data_time: 0.032754 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.822214 2023/08/08 14:47:21 - mmengine - INFO - Epoch(train) [75][460/529] lr: 5.000000e-04 eta: 7:06:26 time: 0.369685 data_time: 0.032608 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.849162 2023/08/08 14:47:25 - mmengine - INFO - Epoch(train) [75][470/529] lr: 5.000000e-04 eta: 7:06:23 time: 0.370463 data_time: 0.032663 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.857230 2023/08/08 14:47:29 - mmengine - INFO - Epoch(train) [75][480/529] lr: 5.000000e-04 eta: 7:06:19 time: 0.364434 data_time: 0.032106 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.876937 2023/08/08 14:47:32 - mmengine - INFO - Epoch(train) [75][490/529] lr: 5.000000e-04 eta: 7:06:16 time: 0.362777 data_time: 0.032217 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.875840 2023/08/08 14:47:36 - mmengine - INFO - Epoch(train) [75][500/529] lr: 5.000000e-04 eta: 7:06:12 time: 0.361180 data_time: 0.032249 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.871388 2023/08/08 14:47:39 - mmengine - INFO - Epoch(train) [75][510/529] lr: 5.000000e-04 eta: 7:06:08 time: 0.359722 data_time: 0.032056 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.862315 2023/08/08 14:47:43 - mmengine - INFO - Epoch(train) [75][520/529] lr: 5.000000e-04 eta: 7:06:05 time: 0.354632 data_time: 0.031782 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.830848 2023/08/08 14:47:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:47:50 - mmengine - INFO - Epoch(train) [76][ 10/529] lr: 5.000000e-04 eta: 7:05:58 time: 0.360119 data_time: 0.035380 memory: 4565 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.831109 2023/08/08 14:47:53 - mmengine - INFO - Epoch(train) [76][ 20/529] lr: 5.000000e-04 eta: 7:05:55 time: 0.360901 data_time: 0.035549 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.882807 2023/08/08 14:47:57 - mmengine - INFO - Epoch(train) [76][ 30/529] lr: 5.000000e-04 eta: 7:05:52 time: 0.370154 data_time: 0.036081 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.850801 2023/08/08 14:48:01 - mmengine - INFO - Epoch(train) [76][ 40/529] lr: 5.000000e-04 eta: 7:05:49 time: 0.375302 data_time: 0.037429 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.859611 2023/08/08 14:48:05 - mmengine - INFO - Epoch(train) [76][ 50/529] lr: 5.000000e-04 eta: 7:05:45 time: 0.375521 data_time: 0.038588 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.853359 2023/08/08 14:48:09 - mmengine - INFO - Epoch(train) [76][ 60/529] lr: 5.000000e-04 eta: 7:05:42 time: 0.372190 data_time: 0.035727 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.819181 2023/08/08 14:48:12 - mmengine - INFO - Epoch(train) [76][ 70/529] lr: 5.000000e-04 eta: 7:05:38 time: 0.372080 data_time: 0.035926 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.854395 2023/08/08 14:48:16 - mmengine - INFO - Epoch(train) [76][ 80/529] lr: 5.000000e-04 eta: 7:05:34 time: 0.363518 data_time: 0.035378 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.834712 2023/08/08 14:48:19 - mmengine - INFO - Epoch(train) [76][ 90/529] lr: 5.000000e-04 eta: 7:05:31 time: 0.361523 data_time: 0.034344 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.910834 2023/08/08 14:48:23 - mmengine - INFO - Epoch(train) [76][100/529] lr: 5.000000e-04 eta: 7:05:27 time: 0.359049 data_time: 0.033526 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.888618 2023/08/08 14:48:26 - mmengine - INFO - Epoch(train) [76][110/529] lr: 5.000000e-04 eta: 7:05:24 time: 0.358273 data_time: 0.032148 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.876671 2023/08/08 14:48:30 - mmengine - INFO - Epoch(train) [76][120/529] lr: 5.000000e-04 eta: 7:05:20 time: 0.356584 data_time: 0.031782 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.891952 2023/08/08 14:48:34 - mmengine - INFO - Epoch(train) [76][130/529] lr: 5.000000e-04 eta: 7:05:17 time: 0.357590 data_time: 0.032078 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.815251 2023/08/08 14:48:37 - mmengine - INFO - Epoch(train) [76][140/529] lr: 5.000000e-04 eta: 7:05:13 time: 0.356202 data_time: 0.031804 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.886849 2023/08/08 14:48:41 - mmengine - INFO - Epoch(train) [76][150/529] lr: 5.000000e-04 eta: 7:05:10 time: 0.359749 data_time: 0.031998 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.924808 2023/08/08 14:48:45 - mmengine - INFO - Epoch(train) [76][160/529] lr: 5.000000e-04 eta: 7:05:06 time: 0.362596 data_time: 0.035690 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.840250 2023/08/08 14:48:48 - mmengine - INFO - Epoch(train) [76][170/529] lr: 5.000000e-04 eta: 7:05:03 time: 0.370253 data_time: 0.036034 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.905864 2023/08/08 14:48:52 - mmengine - INFO - Epoch(train) [76][180/529] lr: 5.000000e-04 eta: 7:05:00 time: 0.372533 data_time: 0.035825 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.917164 2023/08/08 14:48:56 - mmengine - INFO - Epoch(train) [76][190/529] lr: 5.000000e-04 eta: 7:04:57 time: 0.373778 data_time: 0.036298 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.842483 2023/08/08 14:48:59 - mmengine - INFO - Epoch(train) [76][200/529] lr: 5.000000e-04 eta: 7:04:53 time: 0.371218 data_time: 0.036300 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.869366 2023/08/08 14:49:03 - mmengine - INFO - Epoch(train) [76][210/529] lr: 5.000000e-04 eta: 7:04:50 time: 0.371484 data_time: 0.032845 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.855393 2023/08/08 14:49:07 - mmengine - INFO - Epoch(train) [76][220/529] lr: 5.000000e-04 eta: 7:04:46 time: 0.365696 data_time: 0.033309 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.881802 2023/08/08 14:49:10 - mmengine - INFO - Epoch(train) [76][230/529] lr: 5.000000e-04 eta: 7:04:42 time: 0.362300 data_time: 0.033791 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.931920 2023/08/08 14:49:14 - mmengine - INFO - Epoch(train) [76][240/529] lr: 5.000000e-04 eta: 7:04:39 time: 0.359222 data_time: 0.033293 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.851424 2023/08/08 14:49:17 - mmengine - INFO - Epoch(train) [76][250/529] lr: 5.000000e-04 eta: 7:04:35 time: 0.359150 data_time: 0.033159 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.843503 2023/08/08 14:49:21 - mmengine - INFO - Epoch(train) [76][260/529] lr: 5.000000e-04 eta: 7:04:32 time: 0.356177 data_time: 0.033346 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.814319 2023/08/08 14:49:25 - mmengine - INFO - Epoch(train) [76][270/529] lr: 5.000000e-04 eta: 7:04:28 time: 0.355677 data_time: 0.032474 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.857730 2023/08/08 14:49:28 - mmengine - INFO - Epoch(train) [76][280/529] lr: 5.000000e-04 eta: 7:04:24 time: 0.356978 data_time: 0.031937 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.845823 2023/08/08 14:49:32 - mmengine - INFO - Epoch(train) [76][290/529] lr: 5.000000e-04 eta: 7:04:21 time: 0.359881 data_time: 0.032163 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.838625 2023/08/08 14:49:35 - mmengine - INFO - Epoch(train) [76][300/529] lr: 5.000000e-04 eta: 7:04:18 time: 0.361355 data_time: 0.032699 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.835070 2023/08/08 14:49:39 - mmengine - INFO - Epoch(train) [76][310/529] lr: 5.000000e-04 eta: 7:04:14 time: 0.361049 data_time: 0.032283 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.882466 2023/08/08 14:49:43 - mmengine - INFO - Epoch(train) [76][320/529] lr: 5.000000e-04 eta: 7:04:10 time: 0.360827 data_time: 0.032347 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.859955 2023/08/08 14:49:44 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:49:46 - mmengine - INFO - Epoch(train) [76][330/529] lr: 5.000000e-04 eta: 7:04:07 time: 0.360346 data_time: 0.032702 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.848188 2023/08/08 14:49:50 - mmengine - INFO - Epoch(train) [76][340/529] lr: 5.000000e-04 eta: 7:04:03 time: 0.359147 data_time: 0.032393 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.873630 2023/08/08 14:49:53 - mmengine - INFO - Epoch(train) [76][350/529] lr: 5.000000e-04 eta: 7:04:00 time: 0.360028 data_time: 0.031835 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.866551 2023/08/08 14:49:57 - mmengine - INFO - Epoch(train) [76][360/529] lr: 5.000000e-04 eta: 7:03:57 time: 0.366172 data_time: 0.032069 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.874431 2023/08/08 14:50:01 - mmengine - INFO - Epoch(train) [76][370/529] lr: 5.000000e-04 eta: 7:03:53 time: 0.365385 data_time: 0.032665 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.883945 2023/08/08 14:50:05 - mmengine - INFO - Epoch(train) [76][380/529] lr: 5.000000e-04 eta: 7:03:50 time: 0.368491 data_time: 0.033091 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.871684 2023/08/08 14:50:08 - mmengine - INFO - Epoch(train) [76][390/529] lr: 5.000000e-04 eta: 7:03:46 time: 0.367806 data_time: 0.032978 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.867391 2023/08/08 14:50:12 - mmengine - INFO - Epoch(train) [76][400/529] lr: 5.000000e-04 eta: 7:03:43 time: 0.366126 data_time: 0.032947 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.874388 2023/08/08 14:50:15 - mmengine - INFO - Epoch(train) [76][410/529] lr: 5.000000e-04 eta: 7:03:39 time: 0.363166 data_time: 0.036517 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.849736 2023/08/08 14:50:19 - mmengine - INFO - Epoch(train) [76][420/529] lr: 5.000000e-04 eta: 7:03:36 time: 0.372050 data_time: 0.036133 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.853421 2023/08/08 14:50:23 - mmengine - INFO - Epoch(train) [76][430/529] lr: 5.000000e-04 eta: 7:03:33 time: 0.375884 data_time: 0.036356 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.842613 2023/08/08 14:50:27 - mmengine - INFO - Epoch(train) [76][440/529] lr: 5.000000e-04 eta: 7:03:31 time: 0.383294 data_time: 0.036888 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.878929 2023/08/08 14:50:31 - mmengine - INFO - Epoch(train) [76][450/529] lr: 5.000000e-04 eta: 7:03:27 time: 0.382683 data_time: 0.037211 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.886101 2023/08/08 14:50:34 - mmengine - INFO - Epoch(train) [76][460/529] lr: 5.000000e-04 eta: 7:03:23 time: 0.379443 data_time: 0.034008 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.864318 2023/08/08 14:50:38 - mmengine - INFO - Epoch(train) [76][470/529] lr: 5.000000e-04 eta: 7:03:20 time: 0.372668 data_time: 0.034255 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.876716 2023/08/08 14:50:42 - mmengine - INFO - Epoch(train) [76][480/529] lr: 5.000000e-04 eta: 7:03:16 time: 0.365197 data_time: 0.033432 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.868719 2023/08/08 14:50:45 - mmengine - INFO - Epoch(train) [76][490/529] lr: 5.000000e-04 eta: 7:03:13 time: 0.361431 data_time: 0.032877 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.840884 2023/08/08 14:50:49 - mmengine - INFO - Epoch(train) [76][500/529] lr: 5.000000e-04 eta: 7:03:09 time: 0.362461 data_time: 0.032573 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.861097 2023/08/08 14:50:53 - mmengine - INFO - Epoch(train) [76][510/529] lr: 5.000000e-04 eta: 7:03:06 time: 0.363695 data_time: 0.032387 memory: 4565 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.802287 2023/08/08 14:50:56 - mmengine - INFO - Epoch(train) [76][520/529] lr: 5.000000e-04 eta: 7:03:02 time: 0.362128 data_time: 0.031934 memory: 4565 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.855746 2023/08/08 14:50:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:51:03 - mmengine - INFO - Epoch(train) [77][ 10/529] lr: 5.000000e-04 eta: 7:02:56 time: 0.362478 data_time: 0.036064 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.872380 2023/08/08 14:51:07 - mmengine - INFO - Epoch(train) [77][ 20/529] lr: 5.000000e-04 eta: 7:02:52 time: 0.364591 data_time: 0.035831 memory: 4565 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.863111 2023/08/08 14:51:10 - mmengine - INFO - Epoch(train) [77][ 30/529] lr: 5.000000e-04 eta: 7:02:49 time: 0.361063 data_time: 0.035337 memory: 4565 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.883734 2023/08/08 14:51:14 - mmengine - INFO - Epoch(train) [77][ 40/529] lr: 5.000000e-04 eta: 7:02:45 time: 0.361558 data_time: 0.035548 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.784293 2023/08/08 14:51:17 - mmengine - INFO - Epoch(train) [77][ 50/529] lr: 5.000000e-04 eta: 7:02:41 time: 0.360360 data_time: 0.035766 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.889148 2023/08/08 14:51:21 - mmengine - INFO - Epoch(train) [77][ 60/529] lr: 5.000000e-04 eta: 7:02:38 time: 0.355947 data_time: 0.031516 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.903278 2023/08/08 14:51:25 - mmengine - INFO - Epoch(train) [77][ 70/529] lr: 5.000000e-04 eta: 7:02:34 time: 0.352989 data_time: 0.032533 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.882283 2023/08/08 14:51:28 - mmengine - INFO - Epoch(train) [77][ 80/529] lr: 5.000000e-04 eta: 7:02:30 time: 0.353370 data_time: 0.033479 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.927745 2023/08/08 14:51:32 - mmengine - INFO - Epoch(train) [77][ 90/529] lr: 5.000000e-04 eta: 7:02:27 time: 0.357741 data_time: 0.037686 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.887588 2023/08/08 14:51:35 - mmengine - INFO - Epoch(train) [77][100/529] lr: 5.000000e-04 eta: 7:02:24 time: 0.359645 data_time: 0.038680 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.823512 2023/08/08 14:51:39 - mmengine - INFO - Epoch(train) [77][110/529] lr: 5.000000e-04 eta: 7:02:20 time: 0.359972 data_time: 0.038915 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.853746 2023/08/08 14:51:43 - mmengine - INFO - Epoch(train) [77][120/529] lr: 5.000000e-04 eta: 7:02:16 time: 0.361129 data_time: 0.038264 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.890227 2023/08/08 14:51:46 - mmengine - INFO - Epoch(train) [77][130/529] lr: 5.000000e-04 eta: 7:02:13 time: 0.363880 data_time: 0.037988 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.826417 2023/08/08 14:51:50 - mmengine - INFO - Epoch(train) [77][140/529] lr: 5.000000e-04 eta: 7:02:10 time: 0.362722 data_time: 0.033763 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.786810 2023/08/08 14:51:54 - mmengine - INFO - Epoch(train) [77][150/529] lr: 5.000000e-04 eta: 7:02:07 time: 0.372813 data_time: 0.032518 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.909139 2023/08/08 14:51:58 - mmengine - INFO - Epoch(train) [77][160/529] lr: 5.000000e-04 eta: 7:02:04 time: 0.376257 data_time: 0.032320 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.831329 2023/08/08 14:52:02 - mmengine - INFO - Epoch(train) [77][170/529] lr: 5.000000e-04 eta: 7:02:00 time: 0.377862 data_time: 0.033217 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.874708 2023/08/08 14:52:05 - mmengine - INFO - Epoch(train) [77][180/529] lr: 5.000000e-04 eta: 7:01:57 time: 0.376865 data_time: 0.034450 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.827590 2023/08/08 14:52:09 - mmengine - INFO - Epoch(train) [77][190/529] lr: 5.000000e-04 eta: 7:01:53 time: 0.375473 data_time: 0.034661 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.852571 2023/08/08 14:52:12 - mmengine - INFO - Epoch(train) [77][200/529] lr: 5.000000e-04 eta: 7:01:50 time: 0.365080 data_time: 0.034984 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.871337 2023/08/08 14:52:16 - mmengine - INFO - Epoch(train) [77][210/529] lr: 5.000000e-04 eta: 7:01:46 time: 0.359815 data_time: 0.034967 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.863140 2023/08/08 14:52:19 - mmengine - INFO - Epoch(train) [77][220/529] lr: 5.000000e-04 eta: 7:01:42 time: 0.358268 data_time: 0.034116 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.837556 2023/08/08 14:52:23 - mmengine - INFO - Epoch(train) [77][230/529] lr: 5.000000e-04 eta: 7:01:39 time: 0.358528 data_time: 0.032666 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.830382 2023/08/08 14:52:27 - mmengine - INFO - Epoch(train) [77][240/529] lr: 5.000000e-04 eta: 7:01:35 time: 0.356498 data_time: 0.032883 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.849813 2023/08/08 14:52:30 - mmengine - INFO - Epoch(train) [77][250/529] lr: 5.000000e-04 eta: 7:01:32 time: 0.361665 data_time: 0.032996 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.875835 2023/08/08 14:52:34 - mmengine - INFO - Epoch(train) [77][260/529] lr: 5.000000e-04 eta: 7:01:28 time: 0.362272 data_time: 0.032777 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.823037 2023/08/08 14:52:38 - mmengine - INFO - Epoch(train) [77][270/529] lr: 5.000000e-04 eta: 7:01:25 time: 0.362826 data_time: 0.032492 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.850677 2023/08/08 14:52:41 - mmengine - INFO - Epoch(train) [77][280/529] lr: 5.000000e-04 eta: 7:01:21 time: 0.361557 data_time: 0.032047 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.879724 2023/08/08 14:52:45 - mmengine - INFO - Epoch(train) [77][290/529] lr: 5.000000e-04 eta: 7:01:18 time: 0.365070 data_time: 0.031269 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.844162 2023/08/08 14:52:48 - mmengine - INFO - Epoch(train) [77][300/529] lr: 5.000000e-04 eta: 7:01:14 time: 0.360696 data_time: 0.031512 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.906309 2023/08/08 14:52:52 - mmengine - INFO - Epoch(train) [77][310/529] lr: 5.000000e-04 eta: 7:01:11 time: 0.362733 data_time: 0.032024 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.908207 2023/08/08 14:52:56 - mmengine - INFO - Epoch(train) [77][320/529] lr: 5.000000e-04 eta: 7:01:07 time: 0.360645 data_time: 0.032124 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.913472 2023/08/08 14:52:59 - mmengine - INFO - Epoch(train) [77][330/529] lr: 5.000000e-04 eta: 7:01:04 time: 0.362572 data_time: 0.032058 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.850930 2023/08/08 14:53:03 - mmengine - INFO - Epoch(train) [77][340/529] lr: 5.000000e-04 eta: 7:01:00 time: 0.359049 data_time: 0.032764 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.913860 2023/08/08 14:53:06 - mmengine - INFO - Epoch(train) [77][350/529] lr: 5.000000e-04 eta: 7:00:56 time: 0.358067 data_time: 0.032177 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.826103 2023/08/08 14:53:10 - mmengine - INFO - Epoch(train) [77][360/529] lr: 5.000000e-04 eta: 7:00:53 time: 0.356707 data_time: 0.032057 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.846891 2023/08/08 14:53:13 - mmengine - INFO - Epoch(train) [77][370/529] lr: 5.000000e-04 eta: 7:00:49 time: 0.357240 data_time: 0.032796 memory: 4565 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.860933 2023/08/08 14:53:17 - mmengine - INFO - Epoch(train) [77][380/529] lr: 5.000000e-04 eta: 7:00:46 time: 0.358112 data_time: 0.033257 memory: 4565 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.850190 2023/08/08 14:53:21 - mmengine - INFO - Epoch(train) [77][390/529] lr: 5.000000e-04 eta: 7:00:42 time: 0.358368 data_time: 0.033058 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.837143 2023/08/08 14:53:24 - mmengine - INFO - Epoch(train) [77][400/529] lr: 5.000000e-04 eta: 7:00:39 time: 0.358809 data_time: 0.033052 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.906010 2023/08/08 14:53:28 - mmengine - INFO - Epoch(train) [77][410/529] lr: 5.000000e-04 eta: 7:00:35 time: 0.357668 data_time: 0.033231 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.867561 2023/08/08 14:53:31 - mmengine - INFO - Epoch(train) [77][420/529] lr: 5.000000e-04 eta: 7:00:31 time: 0.358182 data_time: 0.032902 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.905268 2023/08/08 14:53:35 - mmengine - INFO - Epoch(train) [77][430/529] lr: 5.000000e-04 eta: 7:00:28 time: 0.356312 data_time: 0.032626 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.913488 2023/08/08 14:53:39 - mmengine - INFO - Epoch(train) [77][440/529] lr: 5.000000e-04 eta: 7:00:24 time: 0.358121 data_time: 0.032668 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.880596 2023/08/08 14:53:42 - mmengine - INFO - Epoch(train) [77][450/529] lr: 5.000000e-04 eta: 7:00:21 time: 0.356896 data_time: 0.032873 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.884407 2023/08/08 14:53:46 - mmengine - INFO - Epoch(train) [77][460/529] lr: 5.000000e-04 eta: 7:00:17 time: 0.358405 data_time: 0.032912 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.903318 2023/08/08 14:53:49 - mmengine - INFO - Epoch(train) [77][470/529] lr: 5.000000e-04 eta: 7:00:14 time: 0.359404 data_time: 0.032709 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.861026 2023/08/08 14:53:53 - mmengine - INFO - Epoch(train) [77][480/529] lr: 5.000000e-04 eta: 7:00:11 time: 0.366757 data_time: 0.033127 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.851610 2023/08/08 14:53:57 - mmengine - INFO - Epoch(train) [77][490/529] lr: 5.000000e-04 eta: 7:00:07 time: 0.365243 data_time: 0.032771 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.883646 2023/08/08 14:54:01 - mmengine - INFO - Epoch(train) [77][500/529] lr: 5.000000e-04 eta: 7:00:04 time: 0.369396 data_time: 0.032719 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.887385 2023/08/08 14:54:04 - mmengine - INFO - Epoch(train) [77][510/529] lr: 5.000000e-04 eta: 7:00:00 time: 0.370170 data_time: 0.032989 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.913903 2023/08/08 14:54:08 - mmengine - INFO - Epoch(train) [77][520/529] lr: 5.000000e-04 eta: 6:59:57 time: 0.370761 data_time: 0.033193 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.889142 2023/08/08 14:54:11 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:54:15 - mmengine - INFO - Epoch(train) [78][ 10/529] lr: 5.000000e-04 eta: 6:59:50 time: 0.365876 data_time: 0.037381 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.880289 2023/08/08 14:54:19 - mmengine - INFO - Epoch(train) [78][ 20/529] lr: 5.000000e-04 eta: 6:59:47 time: 0.373634 data_time: 0.037824 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.855972 2023/08/08 14:54:23 - mmengine - INFO - Epoch(train) [78][ 30/529] lr: 5.000000e-04 eta: 6:59:45 time: 0.380635 data_time: 0.037060 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.838449 2023/08/08 14:54:27 - mmengine - INFO - Epoch(train) [78][ 40/529] lr: 5.000000e-04 eta: 6:59:41 time: 0.378272 data_time: 0.036634 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.851712 2023/08/08 14:54:30 - mmengine - INFO - Epoch(train) [78][ 50/529] lr: 5.000000e-04 eta: 6:59:37 time: 0.378748 data_time: 0.037503 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.863438 2023/08/08 14:54:33 - mmengine - INFO - Epoch(train) [78][ 60/529] lr: 5.000000e-04 eta: 6:59:33 time: 0.372029 data_time: 0.033278 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.918151 2023/08/08 14:54:37 - mmengine - INFO - Epoch(train) [78][ 70/529] lr: 5.000000e-04 eta: 6:59:30 time: 0.361444 data_time: 0.032904 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.840878 2023/08/08 14:54:41 - mmengine - INFO - Epoch(train) [78][ 80/529] lr: 5.000000e-04 eta: 6:59:26 time: 0.353911 data_time: 0.033448 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.878319 2023/08/08 14:54:44 - mmengine - INFO - Epoch(train) [78][ 90/529] lr: 5.000000e-04 eta: 6:59:23 time: 0.352587 data_time: 0.033122 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.915938 2023/08/08 14:54:48 - mmengine - INFO - Epoch(train) [78][100/529] lr: 5.000000e-04 eta: 6:59:19 time: 0.353598 data_time: 0.033020 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.832301 2023/08/08 14:54:51 - mmengine - INFO - Epoch(train) [78][110/529] lr: 5.000000e-04 eta: 6:59:15 time: 0.357183 data_time: 0.032196 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.823353 2023/08/08 14:54:55 - mmengine - INFO - Epoch(train) [78][120/529] lr: 5.000000e-04 eta: 6:59:12 time: 0.360287 data_time: 0.032350 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.812838 2023/08/08 14:54:59 - mmengine - INFO - Epoch(train) [78][130/529] lr: 5.000000e-04 eta: 6:59:08 time: 0.356585 data_time: 0.031855 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.899428 2023/08/08 14:55:02 - mmengine - INFO - Epoch(train) [78][140/529] lr: 5.000000e-04 eta: 6:59:05 time: 0.356333 data_time: 0.032046 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.846974 2023/08/08 14:55:06 - mmengine - INFO - Epoch(train) [78][150/529] lr: 5.000000e-04 eta: 6:59:01 time: 0.356032 data_time: 0.032585 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.924614 2023/08/08 14:55:09 - mmengine - INFO - Epoch(train) [78][160/529] lr: 5.000000e-04 eta: 6:58:57 time: 0.355058 data_time: 0.033374 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.881451 2023/08/08 14:55:13 - mmengine - INFO - Epoch(train) [78][170/529] lr: 5.000000e-04 eta: 6:58:54 time: 0.351709 data_time: 0.033310 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.888895 2023/08/08 14:55:16 - mmengine - INFO - Epoch(train) [78][180/529] lr: 5.000000e-04 eta: 6:58:50 time: 0.354729 data_time: 0.033479 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.877471 2023/08/08 14:55:20 - mmengine - INFO - Epoch(train) [78][190/529] lr: 5.000000e-04 eta: 6:58:47 time: 0.357427 data_time: 0.033354 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.847383 2023/08/08 14:55:23 - mmengine - INFO - Epoch(train) [78][200/529] lr: 5.000000e-04 eta: 6:58:43 time: 0.355969 data_time: 0.032366 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.907432 2023/08/08 14:55:27 - mmengine - INFO - Epoch(train) [78][210/529] lr: 5.000000e-04 eta: 6:58:39 time: 0.354215 data_time: 0.031650 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.863619 2023/08/08 14:55:31 - mmengine - INFO - Epoch(train) [78][220/529] lr: 5.000000e-04 eta: 6:58:36 time: 0.356976 data_time: 0.032367 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.879783 2023/08/08 14:55:34 - mmengine - INFO - Epoch(train) [78][230/529] lr: 5.000000e-04 eta: 6:58:32 time: 0.356591 data_time: 0.032656 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.829215 2023/08/08 14:55:38 - mmengine - INFO - Epoch(train) [78][240/529] lr: 5.000000e-04 eta: 6:58:29 time: 0.356776 data_time: 0.033282 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.861132 2023/08/08 14:55:41 - mmengine - INFO - Epoch(train) [78][250/529] lr: 5.000000e-04 eta: 6:58:25 time: 0.356241 data_time: 0.033695 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.835326 2023/08/08 14:55:45 - mmengine - INFO - Epoch(train) [78][260/529] lr: 5.000000e-04 eta: 6:58:21 time: 0.355619 data_time: 0.034248 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.845808 2023/08/08 14:55:47 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:55:48 - mmengine - INFO - Epoch(train) [78][270/529] lr: 5.000000e-04 eta: 6:58:18 time: 0.357969 data_time: 0.037488 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.829823 2023/08/08 14:55:52 - mmengine - INFO - Epoch(train) [78][280/529] lr: 5.000000e-04 eta: 6:58:15 time: 0.362446 data_time: 0.037549 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.843876 2023/08/08 14:55:56 - mmengine - INFO - Epoch(train) [78][290/529] lr: 5.000000e-04 eta: 6:58:11 time: 0.366820 data_time: 0.037436 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.818884 2023/08/08 14:56:00 - mmengine - INFO - Epoch(train) [78][300/529] lr: 5.000000e-04 eta: 6:58:08 time: 0.375839 data_time: 0.037701 memory: 4565 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.903178 2023/08/08 14:56:04 - mmengine - INFO - Epoch(train) [78][310/529] lr: 5.000000e-04 eta: 6:58:05 time: 0.384957 data_time: 0.037929 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.836519 2023/08/08 14:56:07 - mmengine - INFO - Epoch(train) [78][320/529] lr: 5.000000e-04 eta: 6:58:02 time: 0.379281 data_time: 0.034230 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.882534 2023/08/08 14:56:11 - mmengine - INFO - Epoch(train) [78][330/529] lr: 5.000000e-04 eta: 6:57:58 time: 0.373475 data_time: 0.033860 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.950915 2023/08/08 14:56:15 - mmengine - INFO - Epoch(train) [78][340/529] lr: 5.000000e-04 eta: 6:57:55 time: 0.371473 data_time: 0.034073 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.854955 2023/08/08 14:56:18 - mmengine - INFO - Epoch(train) [78][350/529] lr: 5.000000e-04 eta: 6:57:51 time: 0.365076 data_time: 0.034044 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.919968 2023/08/08 14:56:22 - mmengine - INFO - Epoch(train) [78][360/529] lr: 5.000000e-04 eta: 6:57:47 time: 0.356695 data_time: 0.033304 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.904420 2023/08/08 14:56:25 - mmengine - INFO - Epoch(train) [78][370/529] lr: 5.000000e-04 eta: 6:57:44 time: 0.358336 data_time: 0.032756 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.849586 2023/08/08 14:56:29 - mmengine - INFO - Epoch(train) [78][380/529] lr: 5.000000e-04 eta: 6:57:40 time: 0.357447 data_time: 0.032760 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.814875 2023/08/08 14:56:32 - mmengine - INFO - Epoch(train) [78][390/529] lr: 5.000000e-04 eta: 6:57:36 time: 0.352087 data_time: 0.032210 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.853600 2023/08/08 14:56:36 - mmengine - INFO - Epoch(train) [78][400/529] lr: 5.000000e-04 eta: 6:57:33 time: 0.359529 data_time: 0.031946 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.916466 2023/08/08 14:56:40 - mmengine - INFO - Epoch(train) [78][410/529] lr: 5.000000e-04 eta: 6:57:30 time: 0.360985 data_time: 0.031913 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.868548 2023/08/08 14:56:43 - mmengine - INFO - Epoch(train) [78][420/529] lr: 5.000000e-04 eta: 6:57:26 time: 0.359616 data_time: 0.032036 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.902396 2023/08/08 14:56:47 - mmengine - INFO - Epoch(train) [78][430/529] lr: 5.000000e-04 eta: 6:57:22 time: 0.359556 data_time: 0.031947 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.829961 2023/08/08 14:56:50 - mmengine - INFO - Epoch(train) [78][440/529] lr: 5.000000e-04 eta: 6:57:18 time: 0.359743 data_time: 0.032256 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.875108 2023/08/08 14:56:54 - mmengine - INFO - Epoch(train) [78][450/529] lr: 5.000000e-04 eta: 6:57:15 time: 0.349703 data_time: 0.031730 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.848102 2023/08/08 14:56:57 - mmengine - INFO - Epoch(train) [78][460/529] lr: 5.000000e-04 eta: 6:57:11 time: 0.348655 data_time: 0.031751 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.889785 2023/08/08 14:57:01 - mmengine - INFO - Epoch(train) [78][470/529] lr: 5.000000e-04 eta: 6:57:08 time: 0.352211 data_time: 0.035817 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.894241 2023/08/08 14:57:04 - mmengine - INFO - Epoch(train) [78][480/529] lr: 5.000000e-04 eta: 6:57:04 time: 0.353873 data_time: 0.036782 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.943900 2023/08/08 14:57:08 - mmengine - INFO - Epoch(train) [78][490/529] lr: 5.000000e-04 eta: 6:57:00 time: 0.356277 data_time: 0.036354 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.933173 2023/08/08 14:57:11 - mmengine - INFO - Epoch(train) [78][500/529] lr: 5.000000e-04 eta: 6:56:57 time: 0.356281 data_time: 0.036488 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.847271 2023/08/08 14:57:15 - mmengine - INFO - Epoch(train) [78][510/529] lr: 5.000000e-04 eta: 6:56:53 time: 0.354612 data_time: 0.036395 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.856469 2023/08/08 14:57:18 - mmengine - INFO - Epoch(train) [78][520/529] lr: 5.000000e-04 eta: 6:56:49 time: 0.350172 data_time: 0.032382 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.890976 2023/08/08 14:57:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 14:57:25 - mmengine - INFO - Epoch(train) [79][ 10/529] lr: 5.000000e-04 eta: 6:56:42 time: 0.351574 data_time: 0.036070 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.862282 2023/08/08 14:57:29 - mmengine - INFO - Epoch(train) [79][ 20/529] lr: 5.000000e-04 eta: 6:56:39 time: 0.355886 data_time: 0.036438 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.838322 2023/08/08 14:57:33 - mmengine - INFO - Epoch(train) [79][ 30/529] lr: 5.000000e-04 eta: 6:56:36 time: 0.365237 data_time: 0.036632 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.864553 2023/08/08 14:57:37 - mmengine - INFO - Epoch(train) [79][ 40/529] lr: 5.000000e-04 eta: 6:56:33 time: 0.374606 data_time: 0.036813 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.848982 2023/08/08 14:57:40 - mmengine - INFO - Epoch(train) [79][ 50/529] lr: 5.000000e-04 eta: 6:56:29 time: 0.377337 data_time: 0.036775 memory: 4565 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.871992 2023/08/08 14:57:45 - mmengine - INFO - Epoch(train) [79][ 60/529] lr: 5.000000e-04 eta: 6:56:27 time: 0.384046 data_time: 0.036351 memory: 4565 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.846877 2023/08/08 14:57:48 - mmengine - INFO - Epoch(train) [79][ 70/529] lr: 5.000000e-04 eta: 6:56:23 time: 0.384079 data_time: 0.036127 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.931014 2023/08/08 14:57:52 - mmengine - INFO - Epoch(train) [79][ 80/529] lr: 5.000000e-04 eta: 6:56:20 time: 0.378250 data_time: 0.036488 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.839356 2023/08/08 14:57:55 - mmengine - INFO - Epoch(train) [79][ 90/529] lr: 5.000000e-04 eta: 6:56:16 time: 0.369715 data_time: 0.036134 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.894828 2023/08/08 14:57:59 - mmengine - INFO - Epoch(train) [79][100/529] lr: 5.000000e-04 eta: 6:56:12 time: 0.368408 data_time: 0.035944 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.848589 2023/08/08 14:58:03 - mmengine - INFO - Epoch(train) [79][110/529] lr: 5.000000e-04 eta: 6:56:09 time: 0.360922 data_time: 0.031962 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.916391 2023/08/08 14:58:07 - mmengine - INFO - Epoch(train) [79][120/529] lr: 5.000000e-04 eta: 6:56:06 time: 0.369079 data_time: 0.031996 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.914817 2023/08/08 14:58:11 - mmengine - INFO - Epoch(train) [79][130/529] lr: 5.000000e-04 eta: 6:56:03 time: 0.373946 data_time: 0.031722 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.850008 2023/08/08 14:58:14 - mmengine - INFO - Epoch(train) [79][140/529] lr: 5.000000e-04 eta: 6:56:00 time: 0.378477 data_time: 0.032750 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.862541 2023/08/08 14:58:18 - mmengine - INFO - Epoch(train) [79][150/529] lr: 5.000000e-04 eta: 6:55:56 time: 0.378466 data_time: 0.033020 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.854472 2023/08/08 14:58:21 - mmengine - INFO - Epoch(train) [79][160/529] lr: 5.000000e-04 eta: 6:55:53 time: 0.377201 data_time: 0.033091 memory: 4565 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.910139 2023/08/08 14:58:25 - mmengine - INFO - Epoch(train) [79][170/529] lr: 5.000000e-04 eta: 6:55:49 time: 0.367048 data_time: 0.033878 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.932366 2023/08/08 14:58:29 - mmengine - INFO - Epoch(train) [79][180/529] lr: 5.000000e-04 eta: 6:55:45 time: 0.361804 data_time: 0.034146 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.864062 2023/08/08 14:58:32 - mmengine - INFO - Epoch(train) [79][190/529] lr: 5.000000e-04 eta: 6:55:42 time: 0.363860 data_time: 0.033431 memory: 4565 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.909807 2023/08/08 14:58:36 - mmengine - INFO - Epoch(train) [79][200/529] lr: 5.000000e-04 eta: 6:55:39 time: 0.366036 data_time: 0.033469 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.921456 2023/08/08 14:58:40 - mmengine - INFO - Epoch(train) [79][210/529] lr: 5.000000e-04 eta: 6:55:35 time: 0.364737 data_time: 0.034021 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.871863 2023/08/08 14:58:43 - mmengine - INFO - Epoch(train) [79][220/529] lr: 5.000000e-04 eta: 6:55:32 time: 0.364460 data_time: 0.032868 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.877560 2023/08/08 14:58:47 - mmengine - INFO - Epoch(train) [79][230/529] lr: 5.000000e-04 eta: 6:55:28 time: 0.368909 data_time: 0.032701 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.876746 2023/08/08 14:58:51 - mmengine - INFO - Epoch(train) [79][240/529] lr: 5.000000e-04 eta: 6:55:26 time: 0.371651 data_time: 0.033383 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.880992 2023/08/08 14:58:55 - mmengine - INFO - Epoch(train) [79][250/529] lr: 5.000000e-04 eta: 6:55:22 time: 0.371177 data_time: 0.033402 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.920097 2023/08/08 14:58:58 - mmengine - INFO - Epoch(train) [79][260/529] lr: 5.000000e-04 eta: 6:55:18 time: 0.371263 data_time: 0.032839 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.855153 2023/08/08 14:59:02 - mmengine - INFO - Epoch(train) [79][270/529] lr: 5.000000e-04 eta: 6:55:15 time: 0.377170 data_time: 0.038403 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.873190 2023/08/08 14:59:06 - mmengine - INFO - Epoch(train) [79][280/529] lr: 5.000000e-04 eta: 6:55:11 time: 0.369350 data_time: 0.037985 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.874405 2023/08/08 14:59:09 - mmengine - INFO - Epoch(train) [79][290/529] lr: 5.000000e-04 eta: 6:55:08 time: 0.361407 data_time: 0.037287 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.890494 2023/08/08 14:59:13 - mmengine - INFO - Epoch(train) [79][300/529] lr: 5.000000e-04 eta: 6:55:05 time: 0.366469 data_time: 0.036733 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.949350 2023/08/08 14:59:17 - mmengine - INFO - Epoch(train) [79][310/529] lr: 5.000000e-04 eta: 6:55:01 time: 0.367237 data_time: 0.037333 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.860982 2023/08/08 14:59:20 - mmengine - INFO - Epoch(train) [79][320/529] lr: 5.000000e-04 eta: 6:54:58 time: 0.360642 data_time: 0.032138 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.844792 2023/08/08 14:59:24 - mmengine - INFO - Epoch(train) [79][330/529] lr: 5.000000e-04 eta: 6:54:54 time: 0.363049 data_time: 0.032326 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.851921 2023/08/08 14:59:27 - mmengine - INFO - Epoch(train) [79][340/529] lr: 5.000000e-04 eta: 6:54:50 time: 0.360464 data_time: 0.032103 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.846268 2023/08/08 14:59:31 - mmengine - INFO - Epoch(train) [79][350/529] lr: 5.000000e-04 eta: 6:54:46 time: 0.353393 data_time: 0.032392 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.840235 2023/08/08 14:59:34 - mmengine - INFO - Epoch(train) [79][360/529] lr: 5.000000e-04 eta: 6:54:43 time: 0.349997 data_time: 0.031798 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.873437 2023/08/08 14:59:38 - mmengine - INFO - Epoch(train) [79][370/529] lr: 5.000000e-04 eta: 6:54:39 time: 0.350686 data_time: 0.031765 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.897839 2023/08/08 14:59:41 - mmengine - INFO - Epoch(train) [79][380/529] lr: 5.000000e-04 eta: 6:54:35 time: 0.350169 data_time: 0.031895 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.890801 2023/08/08 14:59:45 - mmengine - INFO - Epoch(train) [79][390/529] lr: 5.000000e-04 eta: 6:54:32 time: 0.353865 data_time: 0.032529 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.888606 2023/08/08 14:59:48 - mmengine - INFO - Epoch(train) [79][400/529] lr: 5.000000e-04 eta: 6:54:28 time: 0.354519 data_time: 0.033164 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.877260 2023/08/08 14:59:52 - mmengine - INFO - Epoch(train) [79][410/529] lr: 5.000000e-04 eta: 6:54:25 time: 0.355166 data_time: 0.033340 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.882753 2023/08/08 14:59:56 - mmengine - INFO - Epoch(train) [79][420/529] lr: 5.000000e-04 eta: 6:54:21 time: 0.357076 data_time: 0.033190 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.886294 2023/08/08 14:59:59 - mmengine - INFO - Epoch(train) [79][430/529] lr: 5.000000e-04 eta: 6:54:17 time: 0.355731 data_time: 0.032942 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.817080 2023/08/08 15:00:03 - mmengine - INFO - Epoch(train) [79][440/529] lr: 5.000000e-04 eta: 6:54:14 time: 0.355559 data_time: 0.032432 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.874707 2023/08/08 15:00:06 - mmengine - INFO - Epoch(train) [79][450/529] lr: 5.000000e-04 eta: 6:54:10 time: 0.357750 data_time: 0.032078 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.876189 2023/08/08 15:00:10 - mmengine - INFO - Epoch(train) [79][460/529] lr: 5.000000e-04 eta: 6:54:07 time: 0.361529 data_time: 0.032573 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.866829 2023/08/08 15:00:14 - mmengine - INFO - Epoch(train) [79][470/529] lr: 5.000000e-04 eta: 6:54:03 time: 0.360864 data_time: 0.032773 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.842845 2023/08/08 15:00:17 - mmengine - INFO - Epoch(train) [79][480/529] lr: 5.000000e-04 eta: 6:53:59 time: 0.359883 data_time: 0.032724 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.864208 2023/08/08 15:00:20 - mmengine - INFO - Epoch(train) [79][490/529] lr: 5.000000e-04 eta: 6:53:56 time: 0.355759 data_time: 0.032645 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.854150 2023/08/08 15:00:24 - mmengine - INFO - Epoch(train) [79][500/529] lr: 5.000000e-04 eta: 6:53:52 time: 0.353399 data_time: 0.032542 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.851675 2023/08/08 15:00:27 - mmengine - INFO - Epoch(train) [79][510/529] lr: 5.000000e-04 eta: 6:53:48 time: 0.349853 data_time: 0.032242 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.883059 2023/08/08 15:00:31 - mmengine - INFO - Epoch(train) [79][520/529] lr: 5.000000e-04 eta: 6:53:45 time: 0.347893 data_time: 0.032371 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.796803 2023/08/08 15:00:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:00:38 - mmengine - INFO - Epoch(train) [80][ 10/529] lr: 5.000000e-04 eta: 6:53:38 time: 0.351242 data_time: 0.035915 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.887185 2023/08/08 15:00:41 - mmengine - INFO - Epoch(train) [80][ 20/529] lr: 5.000000e-04 eta: 6:53:34 time: 0.350419 data_time: 0.036923 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.888645 2023/08/08 15:00:45 - mmengine - INFO - Epoch(train) [80][ 30/529] lr: 5.000000e-04 eta: 6:53:30 time: 0.352006 data_time: 0.036683 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.929807 2023/08/08 15:00:48 - mmengine - INFO - Epoch(train) [80][ 40/529] lr: 5.000000e-04 eta: 6:53:27 time: 0.352881 data_time: 0.036655 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.714427 2023/08/08 15:00:52 - mmengine - INFO - Epoch(train) [80][ 50/529] lr: 5.000000e-04 eta: 6:53:23 time: 0.359736 data_time: 0.037074 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.869346 2023/08/08 15:00:56 - mmengine - INFO - Epoch(train) [80][ 60/529] lr: 5.000000e-04 eta: 6:53:20 time: 0.364197 data_time: 0.033576 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.875655 2023/08/08 15:01:00 - mmengine - INFO - Epoch(train) [80][ 70/529] lr: 5.000000e-04 eta: 6:53:17 time: 0.370991 data_time: 0.032489 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.938951 2023/08/08 15:01:03 - mmengine - INFO - Epoch(train) [80][ 80/529] lr: 5.000000e-04 eta: 6:53:13 time: 0.370269 data_time: 0.032249 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.834643 2023/08/08 15:01:07 - mmengine - INFO - Epoch(train) [80][ 90/529] lr: 5.000000e-04 eta: 6:53:10 time: 0.369705 data_time: 0.032426 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.864435 2023/08/08 15:01:10 - mmengine - INFO - Epoch(train) [80][100/529] lr: 5.000000e-04 eta: 6:53:06 time: 0.367081 data_time: 0.032368 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.824305 2023/08/08 15:01:14 - mmengine - INFO - Epoch(train) [80][110/529] lr: 5.000000e-04 eta: 6:53:03 time: 0.366513 data_time: 0.032618 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.896642 2023/08/08 15:01:18 - mmengine - INFO - Epoch(train) [80][120/529] lr: 5.000000e-04 eta: 6:53:00 time: 0.368227 data_time: 0.033624 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.931005 2023/08/08 15:01:22 - mmengine - INFO - Epoch(train) [80][130/529] lr: 5.000000e-04 eta: 6:52:56 time: 0.367807 data_time: 0.033614 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.900194 2023/08/08 15:01:25 - mmengine - INFO - Epoch(train) [80][140/529] lr: 5.000000e-04 eta: 6:52:53 time: 0.369392 data_time: 0.033070 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.824002 2023/08/08 15:01:29 - mmengine - INFO - Epoch(train) [80][150/529] lr: 5.000000e-04 eta: 6:52:49 time: 0.369640 data_time: 0.032959 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.888812 2023/08/08 15:01:33 - mmengine - INFO - Epoch(train) [80][160/529] lr: 5.000000e-04 eta: 6:52:46 time: 0.366155 data_time: 0.032355 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.831642 2023/08/08 15:01:36 - mmengine - INFO - Epoch(train) [80][170/529] lr: 5.000000e-04 eta: 6:52:42 time: 0.360306 data_time: 0.031162 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.879740 2023/08/08 15:01:40 - mmengine - INFO - Epoch(train) [80][180/529] lr: 5.000000e-04 eta: 6:52:39 time: 0.366502 data_time: 0.031821 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.795648 2023/08/08 15:01:43 - mmengine - INFO - Epoch(train) [80][190/529] lr: 5.000000e-04 eta: 6:52:35 time: 0.364407 data_time: 0.031846 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.834789 2023/08/08 15:01:47 - mmengine - INFO - Epoch(train) [80][200/529] lr: 5.000000e-04 eta: 6:52:32 time: 0.362309 data_time: 0.031714 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.855926 2023/08/08 15:01:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:01:51 - mmengine - INFO - Epoch(train) [80][210/529] lr: 5.000000e-04 eta: 6:52:28 time: 0.362140 data_time: 0.031691 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.917869 2023/08/08 15:01:54 - mmengine - INFO - Epoch(train) [80][220/529] lr: 5.000000e-04 eta: 6:52:24 time: 0.359813 data_time: 0.032048 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.901371 2023/08/08 15:01:58 - mmengine - INFO - Epoch(train) [80][230/529] lr: 5.000000e-04 eta: 6:52:21 time: 0.355453 data_time: 0.032530 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.878441 2023/08/08 15:02:01 - mmengine - INFO - Epoch(train) [80][240/529] lr: 5.000000e-04 eta: 6:52:17 time: 0.355241 data_time: 0.032648 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.882369 2023/08/08 15:02:05 - mmengine - INFO - Epoch(train) [80][250/529] lr: 5.000000e-04 eta: 6:52:14 time: 0.358894 data_time: 0.036334 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.914874 2023/08/08 15:02:08 - mmengine - INFO - Epoch(train) [80][260/529] lr: 5.000000e-04 eta: 6:52:10 time: 0.355256 data_time: 0.036368 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.889223 2023/08/08 15:02:12 - mmengine - INFO - Epoch(train) [80][270/529] lr: 5.000000e-04 eta: 6:52:07 time: 0.364648 data_time: 0.036232 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.877684 2023/08/08 15:02:16 - mmengine - INFO - Epoch(train) [80][280/529] lr: 5.000000e-04 eta: 6:52:04 time: 0.373378 data_time: 0.035216 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.866617 2023/08/08 15:02:20 - mmengine - INFO - Epoch(train) [80][290/529] lr: 5.000000e-04 eta: 6:52:01 time: 0.376696 data_time: 0.035499 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.883894 2023/08/08 15:02:24 - mmengine - INFO - Epoch(train) [80][300/529] lr: 5.000000e-04 eta: 6:51:57 time: 0.375961 data_time: 0.032160 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.895203 2023/08/08 15:02:27 - mmengine - INFO - Epoch(train) [80][310/529] lr: 5.000000e-04 eta: 6:51:54 time: 0.376490 data_time: 0.032608 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.868989 2023/08/08 15:02:31 - mmengine - INFO - Epoch(train) [80][320/529] lr: 5.000000e-04 eta: 6:51:50 time: 0.366762 data_time: 0.032275 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.899118 2023/08/08 15:02:34 - mmengine - INFO - Epoch(train) [80][330/529] lr: 5.000000e-04 eta: 6:51:46 time: 0.356337 data_time: 0.032231 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.846579 2023/08/08 15:02:38 - mmengine - INFO - Epoch(train) [80][340/529] lr: 5.000000e-04 eta: 6:51:42 time: 0.352136 data_time: 0.031811 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.863066 2023/08/08 15:02:42 - mmengine - INFO - Epoch(train) [80][350/529] lr: 5.000000e-04 eta: 6:51:39 time: 0.355886 data_time: 0.031887 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.839265 2023/08/08 15:02:45 - mmengine - INFO - Epoch(train) [80][360/529] lr: 5.000000e-04 eta: 6:51:36 time: 0.364710 data_time: 0.031977 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.877527 2023/08/08 15:02:49 - mmengine - INFO - Epoch(train) [80][370/529] lr: 5.000000e-04 eta: 6:51:33 time: 0.366198 data_time: 0.032627 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.916433 2023/08/08 15:02:53 - mmengine - INFO - Epoch(train) [80][380/529] lr: 5.000000e-04 eta: 6:51:29 time: 0.365464 data_time: 0.033586 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.863252 2023/08/08 15:02:56 - mmengine - INFO - Epoch(train) [80][390/529] lr: 5.000000e-04 eta: 6:51:25 time: 0.364872 data_time: 0.034030 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.842145 2023/08/08 15:03:00 - mmengine - INFO - Epoch(train) [80][400/529] lr: 5.000000e-04 eta: 6:51:22 time: 0.363740 data_time: 0.033566 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.891735 2023/08/08 15:03:03 - mmengine - INFO - Epoch(train) [80][410/529] lr: 5.000000e-04 eta: 6:51:18 time: 0.359140 data_time: 0.033389 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.881369 2023/08/08 15:03:07 - mmengine - INFO - Epoch(train) [80][420/529] lr: 5.000000e-04 eta: 6:51:15 time: 0.359586 data_time: 0.033346 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.877825 2023/08/08 15:03:11 - mmengine - INFO - Epoch(train) [80][430/529] lr: 5.000000e-04 eta: 6:51:11 time: 0.360226 data_time: 0.032684 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.867617 2023/08/08 15:03:14 - mmengine - INFO - Epoch(train) [80][440/529] lr: 5.000000e-04 eta: 6:51:07 time: 0.363088 data_time: 0.032668 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.886172 2023/08/08 15:03:18 - mmengine - INFO - Epoch(train) [80][450/529] lr: 5.000000e-04 eta: 6:51:04 time: 0.360414 data_time: 0.032891 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.881415 2023/08/08 15:03:21 - mmengine - INFO - Epoch(train) [80][460/529] lr: 5.000000e-04 eta: 6:51:00 time: 0.354858 data_time: 0.032613 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.843182 2023/08/08 15:03:25 - mmengine - INFO - Epoch(train) [80][470/529] lr: 5.000000e-04 eta: 6:50:57 time: 0.354826 data_time: 0.032101 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.858836 2023/08/08 15:03:28 - mmengine - INFO - Epoch(train) [80][480/529] lr: 5.000000e-04 eta: 6:50:53 time: 0.355968 data_time: 0.032067 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.794789 2023/08/08 15:03:32 - mmengine - INFO - Epoch(train) [80][490/529] lr: 5.000000e-04 eta: 6:50:49 time: 0.355599 data_time: 0.031943 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.865720 2023/08/08 15:03:36 - mmengine - INFO - Epoch(train) [80][500/529] lr: 5.000000e-04 eta: 6:50:46 time: 0.355251 data_time: 0.032625 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.848189 2023/08/08 15:03:39 - mmengine - INFO - Epoch(train) [80][510/529] lr: 5.000000e-04 eta: 6:50:42 time: 0.355641 data_time: 0.032605 memory: 4565 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.822675 2023/08/08 15:03:42 - mmengine - INFO - Epoch(train) [80][520/529] lr: 5.000000e-04 eta: 6:50:38 time: 0.353410 data_time: 0.032502 memory: 4565 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.892881 2023/08/08 15:03:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:03:46 - mmengine - INFO - Saving checkpoint at 80 epochs 2023/08/08 15:03:51 - mmengine - INFO - Epoch(val) [80][ 10/127] eta: 0:00:24 time: 0.198845 data_time: 0.013664 memory: 4565 2023/08/08 15:03:53 - mmengine - INFO - Epoch(val) [80][ 20/127] eta: 0:00:21 time: 0.198689 data_time: 0.013418 memory: 1634 2023/08/08 15:03:55 - mmengine - INFO - Epoch(val) [80][ 30/127] eta: 0:00:19 time: 0.198548 data_time: 0.013216 memory: 1634 2023/08/08 15:03:57 - mmengine - INFO - Epoch(val) [80][ 40/127] eta: 0:00:17 time: 0.199067 data_time: 0.013125 memory: 1634 2023/08/08 15:03:59 - mmengine - INFO - Epoch(val) [80][ 50/127] eta: 0:00:15 time: 0.200806 data_time: 0.013205 memory: 1634 2023/08/08 15:04:01 - mmengine - INFO - Epoch(val) [80][ 60/127] eta: 0:00:13 time: 0.198094 data_time: 0.011181 memory: 1634 2023/08/08 15:04:03 - mmengine - INFO - Epoch(val) [80][ 70/127] eta: 0:00:11 time: 0.198023 data_time: 0.011143 memory: 1634 2023/08/08 15:04:05 - mmengine - INFO - Epoch(val) [80][ 80/127] eta: 0:00:09 time: 0.197910 data_time: 0.011089 memory: 1634 2023/08/08 15:04:07 - mmengine - INFO - Epoch(val) [80][ 90/127] eta: 0:00:07 time: 0.197049 data_time: 0.010891 memory: 1634 2023/08/08 15:04:09 - mmengine - INFO - Epoch(val) [80][100/127] eta: 0:00:05 time: 0.196933 data_time: 0.010881 memory: 1634 2023/08/08 15:04:11 - mmengine - INFO - Epoch(val) [80][110/127] eta: 0:00:03 time: 0.196940 data_time: 0.010889 memory: 1634 2023/08/08 15:04:13 - mmengine - INFO - Epoch(val) [80][120/127] eta: 0:00:01 time: 0.197343 data_time: 0.010998 memory: 1634 2023/08/08 15:04:14 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 15:04:15 - mmengine - INFO - Evaluating AUC... 2023/08/08 15:04:15 - mmengine - INFO - Evaluating EPE... 2023/08/08 15:04:15 - mmengine - INFO - Epoch(val) [80][127/127] PCK: 0.980629 AUC: 0.669466 EPE: 12.059128 data_time: 0.011757 time: 0.197206 2023/08/08 15:04:19 - mmengine - INFO - Epoch(train) [81][ 10/529] lr: 5.000000e-04 eta: 6:50:31 time: 0.354988 data_time: 0.036116 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.881684 2023/08/08 15:04:22 - mmengine - INFO - Epoch(train) [81][ 20/529] lr: 5.000000e-04 eta: 6:50:28 time: 0.357076 data_time: 0.035729 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.855132 2023/08/08 15:04:26 - mmengine - INFO - Epoch(train) [81][ 30/529] lr: 5.000000e-04 eta: 6:50:25 time: 0.359786 data_time: 0.035857 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.896798 2023/08/08 15:04:30 - mmengine - INFO - Epoch(train) [81][ 40/529] lr: 5.000000e-04 eta: 6:50:21 time: 0.362089 data_time: 0.036363 memory: 4565 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.789146 2023/08/08 15:04:33 - mmengine - INFO - Epoch(train) [81][ 50/529] lr: 5.000000e-04 eta: 6:50:18 time: 0.367280 data_time: 0.036995 memory: 4565 loss: 0.000838 loss_kpt: 0.000838 acc_pose: 0.854135 2023/08/08 15:04:37 - mmengine - INFO - Epoch(train) [81][ 60/529] lr: 5.000000e-04 eta: 6:50:15 time: 0.373349 data_time: 0.032756 memory: 4565 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.904413 2023/08/08 15:04:41 - mmengine - INFO - Epoch(train) [81][ 70/529] lr: 5.000000e-04 eta: 6:50:12 time: 0.377760 data_time: 0.032320 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.817643 2023/08/08 15:04:45 - mmengine - INFO - Epoch(train) [81][ 80/529] lr: 5.000000e-04 eta: 6:50:08 time: 0.379431 data_time: 0.032348 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.828718 2023/08/08 15:04:49 - mmengine - INFO - Epoch(train) [81][ 90/529] lr: 5.000000e-04 eta: 6:50:05 time: 0.378707 data_time: 0.031908 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.850337 2023/08/08 15:04:52 - mmengine - INFO - Epoch(train) [81][100/529] lr: 5.000000e-04 eta: 6:50:01 time: 0.380991 data_time: 0.031673 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.847845 2023/08/08 15:04:56 - mmengine - INFO - Epoch(train) [81][110/529] lr: 5.000000e-04 eta: 6:49:58 time: 0.370700 data_time: 0.031772 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.901160 2023/08/08 15:05:00 - mmengine - INFO - Epoch(train) [81][120/529] lr: 5.000000e-04 eta: 6:49:54 time: 0.363485 data_time: 0.032064 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.911446 2023/08/08 15:05:03 - mmengine - INFO - Epoch(train) [81][130/529] lr: 5.000000e-04 eta: 6:49:51 time: 0.364730 data_time: 0.032760 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.909903 2023/08/08 15:05:07 - mmengine - INFO - Epoch(train) [81][140/529] lr: 5.000000e-04 eta: 6:49:48 time: 0.367324 data_time: 0.033445 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.849101 2023/08/08 15:05:11 - mmengine - INFO - Epoch(train) [81][150/529] lr: 5.000000e-04 eta: 6:49:44 time: 0.362722 data_time: 0.033465 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.882921 2023/08/08 15:05:14 - mmengine - INFO - Epoch(train) [81][160/529] lr: 5.000000e-04 eta: 6:49:40 time: 0.363076 data_time: 0.034111 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.887577 2023/08/08 15:05:18 - mmengine - INFO - Epoch(train) [81][170/529] lr: 5.000000e-04 eta: 6:49:36 time: 0.359158 data_time: 0.034515 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.912087 2023/08/08 15:05:21 - mmengine - INFO - Epoch(train) [81][180/529] lr: 5.000000e-04 eta: 6:49:33 time: 0.354000 data_time: 0.034453 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.875947 2023/08/08 15:05:25 - mmengine - INFO - Epoch(train) [81][190/529] lr: 5.000000e-04 eta: 6:49:29 time: 0.351766 data_time: 0.033785 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.924947 2023/08/08 15:05:28 - mmengine - INFO - Epoch(train) [81][200/529] lr: 5.000000e-04 eta: 6:49:26 time: 0.353935 data_time: 0.033730 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.813925 2023/08/08 15:05:32 - mmengine - INFO - Epoch(train) [81][210/529] lr: 5.000000e-04 eta: 6:49:22 time: 0.355984 data_time: 0.033056 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.908547 2023/08/08 15:05:35 - mmengine - INFO - Epoch(train) [81][220/529] lr: 5.000000e-04 eta: 6:49:18 time: 0.356042 data_time: 0.032216 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.881094 2023/08/08 15:05:39 - mmengine - INFO - Epoch(train) [81][230/529] lr: 5.000000e-04 eta: 6:49:15 time: 0.355581 data_time: 0.031504 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.930940 2023/08/08 15:05:42 - mmengine - INFO - Epoch(train) [81][240/529] lr: 5.000000e-04 eta: 6:49:11 time: 0.353436 data_time: 0.031701 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.861515 2023/08/08 15:05:46 - mmengine - INFO - Epoch(train) [81][250/529] lr: 5.000000e-04 eta: 6:49:07 time: 0.350307 data_time: 0.032142 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.898065 2023/08/08 15:05:49 - mmengine - INFO - Epoch(train) [81][260/529] lr: 5.000000e-04 eta: 6:49:03 time: 0.346719 data_time: 0.032624 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.808745 2023/08/08 15:05:53 - mmengine - INFO - Epoch(train) [81][270/529] lr: 5.000000e-04 eta: 6:49:00 time: 0.348860 data_time: 0.033212 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.869327 2023/08/08 15:05:56 - mmengine - INFO - Epoch(train) [81][280/529] lr: 5.000000e-04 eta: 6:48:56 time: 0.352356 data_time: 0.033753 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.897567 2023/08/08 15:06:00 - mmengine - INFO - Epoch(train) [81][290/529] lr: 5.000000e-04 eta: 6:48:53 time: 0.353598 data_time: 0.034296 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.914796 2023/08/08 15:06:04 - mmengine - INFO - Epoch(train) [81][300/529] lr: 5.000000e-04 eta: 6:48:49 time: 0.355131 data_time: 0.033904 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.886193 2023/08/08 15:06:07 - mmengine - INFO - Epoch(train) [81][310/529] lr: 5.000000e-04 eta: 6:48:45 time: 0.355043 data_time: 0.033278 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.882784 2023/08/08 15:06:11 - mmengine - INFO - Epoch(train) [81][320/529] lr: 5.000000e-04 eta: 6:48:42 time: 0.354803 data_time: 0.032877 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.872720 2023/08/08 15:06:14 - mmengine - INFO - Epoch(train) [81][330/529] lr: 5.000000e-04 eta: 6:48:38 time: 0.353737 data_time: 0.032708 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.851501 2023/08/08 15:06:18 - mmengine - INFO - Epoch(train) [81][340/529] lr: 5.000000e-04 eta: 6:48:34 time: 0.353169 data_time: 0.032439 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.841955 2023/08/08 15:06:21 - mmengine - INFO - Epoch(train) [81][350/529] lr: 5.000000e-04 eta: 6:48:30 time: 0.350291 data_time: 0.032275 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.930537 2023/08/08 15:06:25 - mmengine - INFO - Epoch(train) [81][360/529] lr: 5.000000e-04 eta: 6:48:27 time: 0.352822 data_time: 0.032148 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.916466 2023/08/08 15:06:28 - mmengine - INFO - Epoch(train) [81][370/529] lr: 5.000000e-04 eta: 6:48:23 time: 0.351069 data_time: 0.032020 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.830361 2023/08/08 15:06:32 - mmengine - INFO - Epoch(train) [81][380/529] lr: 5.000000e-04 eta: 6:48:19 time: 0.349889 data_time: 0.032118 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.882290 2023/08/08 15:06:35 - mmengine - INFO - Epoch(train) [81][390/529] lr: 5.000000e-04 eta: 6:48:16 time: 0.351588 data_time: 0.031961 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.878068 2023/08/08 15:06:39 - mmengine - INFO - Epoch(train) [81][400/529] lr: 5.000000e-04 eta: 6:48:12 time: 0.354300 data_time: 0.031982 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.870614 2023/08/08 15:06:42 - mmengine - INFO - Epoch(train) [81][410/529] lr: 5.000000e-04 eta: 6:48:08 time: 0.351723 data_time: 0.032102 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.898274 2023/08/08 15:06:46 - mmengine - INFO - Epoch(train) [81][420/529] lr: 5.000000e-04 eta: 6:48:05 time: 0.352357 data_time: 0.032662 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.876628 2023/08/08 15:06:49 - mmengine - INFO - Epoch(train) [81][430/529] lr: 5.000000e-04 eta: 6:48:01 time: 0.352146 data_time: 0.032346 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.863754 2023/08/08 15:06:53 - mmengine - INFO - Epoch(train) [81][440/529] lr: 5.000000e-04 eta: 6:47:57 time: 0.349912 data_time: 0.032449 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.924842 2023/08/08 15:06:57 - mmengine - INFO - Epoch(train) [81][450/529] lr: 5.000000e-04 eta: 6:47:54 time: 0.356966 data_time: 0.032594 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.897475 2023/08/08 15:07:00 - mmengine - INFO - Epoch(train) [81][460/529] lr: 5.000000e-04 eta: 6:47:50 time: 0.358016 data_time: 0.033305 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.905227 2023/08/08 15:07:04 - mmengine - INFO - Epoch(train) [81][470/529] lr: 5.000000e-04 eta: 6:47:47 time: 0.358493 data_time: 0.032912 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.806296 2023/08/08 15:07:07 - mmengine - INFO - Epoch(train) [81][480/529] lr: 5.000000e-04 eta: 6:47:43 time: 0.361019 data_time: 0.033068 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.872369 2023/08/08 15:07:11 - mmengine - INFO - Epoch(train) [81][490/529] lr: 5.000000e-04 eta: 6:47:39 time: 0.360153 data_time: 0.033347 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.885159 2023/08/08 15:07:15 - mmengine - INFO - Epoch(train) [81][500/529] lr: 5.000000e-04 eta: 6:47:36 time: 0.359597 data_time: 0.033312 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.832863 2023/08/08 15:07:18 - mmengine - INFO - Epoch(train) [81][510/529] lr: 5.000000e-04 eta: 6:47:33 time: 0.366323 data_time: 0.033237 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.880940 2023/08/08 15:07:22 - mmengine - INFO - Epoch(train) [81][520/529] lr: 5.000000e-04 eta: 6:47:30 time: 0.366122 data_time: 0.033786 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.850349 2023/08/08 15:07:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:07:29 - mmengine - INFO - Epoch(train) [82][ 10/529] lr: 5.000000e-04 eta: 6:47:23 time: 0.373375 data_time: 0.037194 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.861322 2023/08/08 15:07:33 - mmengine - INFO - Epoch(train) [82][ 20/529] lr: 5.000000e-04 eta: 6:47:19 time: 0.366468 data_time: 0.036970 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.816229 2023/08/08 15:07:36 - mmengine - INFO - Epoch(train) [82][ 30/529] lr: 5.000000e-04 eta: 6:47:16 time: 0.359310 data_time: 0.036246 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.890785 2023/08/08 15:07:40 - mmengine - INFO - Epoch(train) [82][ 40/529] lr: 5.000000e-04 eta: 6:47:12 time: 0.361806 data_time: 0.036074 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.837483 2023/08/08 15:07:43 - mmengine - INFO - Epoch(train) [82][ 50/529] lr: 5.000000e-04 eta: 6:47:09 time: 0.362636 data_time: 0.035768 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.880062 2023/08/08 15:07:47 - mmengine - INFO - Epoch(train) [82][ 60/529] lr: 5.000000e-04 eta: 6:47:05 time: 0.359507 data_time: 0.031510 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.920937 2023/08/08 15:07:51 - mmengine - INFO - Epoch(train) [82][ 70/529] lr: 5.000000e-04 eta: 6:47:02 time: 0.359770 data_time: 0.031610 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.834859 2023/08/08 15:07:54 - mmengine - INFO - Epoch(train) [82][ 80/529] lr: 5.000000e-04 eta: 6:46:58 time: 0.363072 data_time: 0.032100 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.893884 2023/08/08 15:07:58 - mmengine - INFO - Epoch(train) [82][ 90/529] lr: 5.000000e-04 eta: 6:46:55 time: 0.361615 data_time: 0.031654 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.865468 2023/08/08 15:08:01 - mmengine - INFO - Epoch(train) [82][100/529] lr: 5.000000e-04 eta: 6:46:51 time: 0.360535 data_time: 0.031726 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.884954 2023/08/08 15:08:05 - mmengine - INFO - Epoch(train) [82][110/529] lr: 5.000000e-04 eta: 6:46:47 time: 0.357604 data_time: 0.031768 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.856483 2023/08/08 15:08:09 - mmengine - INFO - Epoch(train) [82][120/529] lr: 5.000000e-04 eta: 6:46:44 time: 0.359155 data_time: 0.032062 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.883691 2023/08/08 15:08:12 - mmengine - INFO - Epoch(train) [82][130/529] lr: 5.000000e-04 eta: 6:46:40 time: 0.357337 data_time: 0.031725 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.876183 2023/08/08 15:08:16 - mmengine - INFO - Epoch(train) [82][140/529] lr: 5.000000e-04 eta: 6:46:37 time: 0.367701 data_time: 0.032242 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.826894 2023/08/08 15:08:20 - mmengine - INFO - Epoch(train) [82][150/529] lr: 5.000000e-04 eta: 6:46:35 time: 0.377591 data_time: 0.033289 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.851710 2023/08/08 15:08:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:08:24 - mmengine - INFO - Epoch(train) [82][160/529] lr: 5.000000e-04 eta: 6:46:31 time: 0.380338 data_time: 0.033642 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.842452 2023/08/08 15:08:28 - mmengine - INFO - Epoch(train) [82][170/529] lr: 5.000000e-04 eta: 6:46:28 time: 0.383239 data_time: 0.033713 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.836811 2023/08/08 15:08:31 - mmengine - INFO - Epoch(train) [82][180/529] lr: 5.000000e-04 eta: 6:46:24 time: 0.385266 data_time: 0.034240 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.884955 2023/08/08 15:08:35 - mmengine - INFO - Epoch(train) [82][190/529] lr: 5.000000e-04 eta: 6:46:21 time: 0.378529 data_time: 0.034666 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.756470 2023/08/08 15:08:39 - mmengine - INFO - Epoch(train) [82][200/529] lr: 5.000000e-04 eta: 6:46:17 time: 0.368872 data_time: 0.033742 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.852735 2023/08/08 15:08:42 - mmengine - INFO - Epoch(train) [82][210/529] lr: 5.000000e-04 eta: 6:46:14 time: 0.366839 data_time: 0.033731 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.916997 2023/08/08 15:08:46 - mmengine - INFO - Epoch(train) [82][220/529] lr: 5.000000e-04 eta: 6:46:10 time: 0.364317 data_time: 0.034196 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.884415 2023/08/08 15:08:49 - mmengine - INFO - Epoch(train) [82][230/529] lr: 5.000000e-04 eta: 6:46:07 time: 0.361129 data_time: 0.033997 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.898357 2023/08/08 15:08:53 - mmengine - INFO - Epoch(train) [82][240/529] lr: 5.000000e-04 eta: 6:46:03 time: 0.356888 data_time: 0.033106 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.929453 2023/08/08 15:08:57 - mmengine - INFO - Epoch(train) [82][250/529] lr: 5.000000e-04 eta: 6:46:00 time: 0.359924 data_time: 0.033267 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.831378 2023/08/08 15:09:00 - mmengine - INFO - Epoch(train) [82][260/529] lr: 5.000000e-04 eta: 6:45:56 time: 0.358761 data_time: 0.032948 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.902303 2023/08/08 15:09:04 - mmengine - INFO - Epoch(train) [82][270/529] lr: 5.000000e-04 eta: 6:45:52 time: 0.357881 data_time: 0.032377 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.874197 2023/08/08 15:09:07 - mmengine - INFO - Epoch(train) [82][280/529] lr: 5.000000e-04 eta: 6:45:49 time: 0.359250 data_time: 0.031809 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.814076 2023/08/08 15:09:11 - mmengine - INFO - Epoch(train) [82][290/529] lr: 5.000000e-04 eta: 6:45:45 time: 0.361757 data_time: 0.032025 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.844086 2023/08/08 15:09:15 - mmengine - INFO - Epoch(train) [82][300/529] lr: 5.000000e-04 eta: 6:45:42 time: 0.357016 data_time: 0.031746 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.922441 2023/08/08 15:09:18 - mmengine - INFO - Epoch(train) [82][310/529] lr: 5.000000e-04 eta: 6:45:38 time: 0.357133 data_time: 0.032161 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.834365 2023/08/08 15:09:22 - mmengine - INFO - Epoch(train) [82][320/529] lr: 5.000000e-04 eta: 6:45:34 time: 0.354458 data_time: 0.031979 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.850561 2023/08/08 15:09:25 - mmengine - INFO - Epoch(train) [82][330/529] lr: 5.000000e-04 eta: 6:45:30 time: 0.351233 data_time: 0.032012 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.868570 2023/08/08 15:09:29 - mmengine - INFO - Epoch(train) [82][340/529] lr: 5.000000e-04 eta: 6:45:27 time: 0.351343 data_time: 0.032391 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.937091 2023/08/08 15:09:32 - mmengine - INFO - Epoch(train) [82][350/529] lr: 5.000000e-04 eta: 6:45:23 time: 0.351541 data_time: 0.033335 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.879544 2023/08/08 15:09:36 - mmengine - INFO - Epoch(train) [82][360/529] lr: 5.000000e-04 eta: 6:45:20 time: 0.352460 data_time: 0.033222 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.831462 2023/08/08 15:09:39 - mmengine - INFO - Epoch(train) [82][370/529] lr: 5.000000e-04 eta: 6:45:16 time: 0.352962 data_time: 0.033173 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.851665 2023/08/08 15:09:43 - mmengine - INFO - Epoch(train) [82][380/529] lr: 5.000000e-04 eta: 6:45:12 time: 0.354515 data_time: 0.033853 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.918653 2023/08/08 15:09:46 - mmengine - INFO - Epoch(train) [82][390/529] lr: 5.000000e-04 eta: 6:45:08 time: 0.351051 data_time: 0.033290 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.822253 2023/08/08 15:09:50 - mmengine - INFO - Epoch(train) [82][400/529] lr: 5.000000e-04 eta: 6:45:05 time: 0.349353 data_time: 0.032209 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.908482 2023/08/08 15:09:53 - mmengine - INFO - Epoch(train) [82][410/529] lr: 5.000000e-04 eta: 6:45:01 time: 0.346321 data_time: 0.031622 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.919095 2023/08/08 15:09:57 - mmengine - INFO - Epoch(train) [82][420/529] lr: 5.000000e-04 eta: 6:44:57 time: 0.347338 data_time: 0.031852 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.872171 2023/08/08 15:10:00 - mmengine - INFO - Epoch(train) [82][430/529] lr: 5.000000e-04 eta: 6:44:54 time: 0.353497 data_time: 0.031543 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.812200 2023/08/08 15:10:04 - mmengine - INFO - Epoch(train) [82][440/529] lr: 5.000000e-04 eta: 6:44:51 time: 0.359155 data_time: 0.032184 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.909468 2023/08/08 15:10:08 - mmengine - INFO - Epoch(train) [82][450/529] lr: 5.000000e-04 eta: 6:44:47 time: 0.367318 data_time: 0.032874 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.886607 2023/08/08 15:10:11 - mmengine - INFO - Epoch(train) [82][460/529] lr: 5.000000e-04 eta: 6:44:44 time: 0.367851 data_time: 0.033628 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.903937 2023/08/08 15:10:15 - mmengine - INFO - Epoch(train) [82][470/529] lr: 5.000000e-04 eta: 6:44:40 time: 0.367070 data_time: 0.033521 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.880320 2023/08/08 15:10:18 - mmengine - INFO - Epoch(train) [82][480/529] lr: 5.000000e-04 eta: 6:44:36 time: 0.360456 data_time: 0.033348 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.866917 2023/08/08 15:10:22 - mmengine - INFO - Epoch(train) [82][490/529] lr: 5.000000e-04 eta: 6:44:33 time: 0.357716 data_time: 0.032852 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.864016 2023/08/08 15:10:26 - mmengine - INFO - Epoch(train) [82][500/529] lr: 5.000000e-04 eta: 6:44:29 time: 0.355306 data_time: 0.032559 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.924780 2023/08/08 15:10:30 - mmengine - INFO - Epoch(train) [82][510/529] lr: 5.000000e-04 eta: 6:44:26 time: 0.365470 data_time: 0.032550 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.894408 2023/08/08 15:10:33 - mmengine - INFO - Epoch(train) [82][520/529] lr: 5.000000e-04 eta: 6:44:23 time: 0.368215 data_time: 0.032968 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.854126 2023/08/08 15:10:36 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:10:40 - mmengine - INFO - Epoch(train) [83][ 10/529] lr: 5.000000e-04 eta: 6:44:16 time: 0.369063 data_time: 0.035821 memory: 4565 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.849071 2023/08/08 15:10:44 - mmengine - INFO - Epoch(train) [83][ 20/529] lr: 5.000000e-04 eta: 6:44:12 time: 0.367545 data_time: 0.036228 memory: 4565 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.848857 2023/08/08 15:10:47 - mmengine - INFO - Epoch(train) [83][ 30/529] lr: 5.000000e-04 eta: 6:44:09 time: 0.357785 data_time: 0.035599 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.882170 2023/08/08 15:10:51 - mmengine - INFO - Epoch(train) [83][ 40/529] lr: 5.000000e-04 eta: 6:44:05 time: 0.356016 data_time: 0.035297 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.885164 2023/08/08 15:10:54 - mmengine - INFO - Epoch(train) [83][ 50/529] lr: 5.000000e-04 eta: 6:44:02 time: 0.360170 data_time: 0.036118 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.905318 2023/08/08 15:10:58 - mmengine - INFO - Epoch(train) [83][ 60/529] lr: 5.000000e-04 eta: 6:43:58 time: 0.360752 data_time: 0.032864 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.849682 2023/08/08 15:11:02 - mmengine - INFO - Epoch(train) [83][ 70/529] lr: 5.000000e-04 eta: 6:43:55 time: 0.358949 data_time: 0.032154 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.908420 2023/08/08 15:11:05 - mmengine - INFO - Epoch(train) [83][ 80/529] lr: 5.000000e-04 eta: 6:43:51 time: 0.362790 data_time: 0.032262 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.860239 2023/08/08 15:11:09 - mmengine - INFO - Epoch(train) [83][ 90/529] lr: 5.000000e-04 eta: 6:43:48 time: 0.364055 data_time: 0.032247 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.875210 2023/08/08 15:11:13 - mmengine - INFO - Epoch(train) [83][100/529] lr: 5.000000e-04 eta: 6:43:44 time: 0.362022 data_time: 0.032137 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.872540 2023/08/08 15:11:16 - mmengine - INFO - Epoch(train) [83][110/529] lr: 5.000000e-04 eta: 6:43:40 time: 0.357266 data_time: 0.032299 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.849663 2023/08/08 15:11:20 - mmengine - INFO - Epoch(train) [83][120/529] lr: 5.000000e-04 eta: 6:43:36 time: 0.356764 data_time: 0.032499 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.878401 2023/08/08 15:11:23 - mmengine - INFO - Epoch(train) [83][130/529] lr: 5.000000e-04 eta: 6:43:33 time: 0.353267 data_time: 0.032357 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.881491 2023/08/08 15:11:27 - mmengine - INFO - Epoch(train) [83][140/529] lr: 5.000000e-04 eta: 6:43:29 time: 0.349838 data_time: 0.032127 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.836538 2023/08/08 15:11:30 - mmengine - INFO - Epoch(train) [83][150/529] lr: 5.000000e-04 eta: 6:43:25 time: 0.350587 data_time: 0.031887 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.886623 2023/08/08 15:11:34 - mmengine - INFO - Epoch(train) [83][160/529] lr: 5.000000e-04 eta: 6:43:22 time: 0.352333 data_time: 0.031720 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.829722 2023/08/08 15:11:37 - mmengine - INFO - Epoch(train) [83][170/529] lr: 5.000000e-04 eta: 6:43:18 time: 0.354575 data_time: 0.031640 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.896626 2023/08/08 15:11:41 - mmengine - INFO - Epoch(train) [83][180/529] lr: 5.000000e-04 eta: 6:43:15 time: 0.356096 data_time: 0.031957 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.865283 2023/08/08 15:11:44 - mmengine - INFO - Epoch(train) [83][190/529] lr: 5.000000e-04 eta: 6:43:11 time: 0.358589 data_time: 0.032030 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.863768 2023/08/08 15:11:48 - mmengine - INFO - Epoch(train) [83][200/529] lr: 5.000000e-04 eta: 6:43:08 time: 0.358145 data_time: 0.032214 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.901295 2023/08/08 15:11:52 - mmengine - INFO - Epoch(train) [83][210/529] lr: 5.000000e-04 eta: 6:43:04 time: 0.359192 data_time: 0.032435 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.829681 2023/08/08 15:11:55 - mmengine - INFO - Epoch(train) [83][220/529] lr: 5.000000e-04 eta: 6:43:01 time: 0.361388 data_time: 0.032729 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.890802 2023/08/08 15:11:59 - mmengine - INFO - Epoch(train) [83][230/529] lr: 5.000000e-04 eta: 6:42:58 time: 0.370611 data_time: 0.036738 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.822100 2023/08/08 15:12:03 - mmengine - INFO - Epoch(train) [83][240/529] lr: 5.000000e-04 eta: 6:42:54 time: 0.368777 data_time: 0.036406 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.906780 2023/08/08 15:12:06 - mmengine - INFO - Epoch(train) [83][250/529] lr: 5.000000e-04 eta: 6:42:50 time: 0.367290 data_time: 0.036296 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.794930 2023/08/08 15:12:10 - mmengine - INFO - Epoch(train) [83][260/529] lr: 5.000000e-04 eta: 6:42:47 time: 0.365722 data_time: 0.036174 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.855354 2023/08/08 15:12:14 - mmengine - INFO - Epoch(train) [83][270/529] lr: 5.000000e-04 eta: 6:42:43 time: 0.366417 data_time: 0.036631 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.893882 2023/08/08 15:12:17 - mmengine - INFO - Epoch(train) [83][280/529] lr: 5.000000e-04 eta: 6:42:40 time: 0.358274 data_time: 0.032790 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.899685 2023/08/08 15:12:21 - mmengine - INFO - Epoch(train) [83][290/529] lr: 5.000000e-04 eta: 6:42:36 time: 0.361944 data_time: 0.033997 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.911223 2023/08/08 15:12:25 - mmengine - INFO - Epoch(train) [83][300/529] lr: 5.000000e-04 eta: 6:42:33 time: 0.364318 data_time: 0.034633 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.927571 2023/08/08 15:12:28 - mmengine - INFO - Epoch(train) [83][310/529] lr: 5.000000e-04 eta: 6:42:29 time: 0.362826 data_time: 0.035239 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.883434 2023/08/08 15:12:32 - mmengine - INFO - Epoch(train) [83][320/529] lr: 5.000000e-04 eta: 6:42:25 time: 0.356917 data_time: 0.034358 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.861503 2023/08/08 15:12:35 - mmengine - INFO - Epoch(train) [83][330/529] lr: 5.000000e-04 eta: 6:42:22 time: 0.353359 data_time: 0.033886 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.898543 2023/08/08 15:12:39 - mmengine - INFO - Epoch(train) [83][340/529] lr: 5.000000e-04 eta: 6:42:18 time: 0.352135 data_time: 0.033497 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.827309 2023/08/08 15:12:42 - mmengine - INFO - Epoch(train) [83][350/529] lr: 5.000000e-04 eta: 6:42:14 time: 0.350225 data_time: 0.033119 memory: 4565 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.862582 2023/08/08 15:12:46 - mmengine - INFO - Epoch(train) [83][360/529] lr: 5.000000e-04 eta: 6:42:11 time: 0.351880 data_time: 0.032724 memory: 4565 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.858893 2023/08/08 15:12:49 - mmengine - INFO - Epoch(train) [83][370/529] lr: 5.000000e-04 eta: 6:42:07 time: 0.351757 data_time: 0.032805 memory: 4565 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.816469 2023/08/08 15:12:53 - mmengine - INFO - Epoch(train) [83][380/529] lr: 5.000000e-04 eta: 6:42:03 time: 0.354063 data_time: 0.032659 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.915956 2023/08/08 15:12:56 - mmengine - INFO - Epoch(train) [83][390/529] lr: 5.000000e-04 eta: 6:42:00 time: 0.351356 data_time: 0.032019 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.880220 2023/08/08 15:13:00 - mmengine - INFO - Epoch(train) [83][400/529] lr: 5.000000e-04 eta: 6:41:56 time: 0.356010 data_time: 0.032021 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.862120 2023/08/08 15:13:03 - mmengine - INFO - Epoch(train) [83][410/529] lr: 5.000000e-04 eta: 6:41:52 time: 0.354270 data_time: 0.031396 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.878147 2023/08/08 15:13:07 - mmengine - INFO - Epoch(train) [83][420/529] lr: 5.000000e-04 eta: 6:41:49 time: 0.357784 data_time: 0.031626 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.894792 2023/08/08 15:13:11 - mmengine - INFO - Epoch(train) [83][430/529] lr: 5.000000e-04 eta: 6:41:45 time: 0.357725 data_time: 0.032112 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.833776 2023/08/08 15:13:14 - mmengine - INFO - Epoch(train) [83][440/529] lr: 5.000000e-04 eta: 6:41:42 time: 0.359198 data_time: 0.032460 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.890400 2023/08/08 15:13:18 - mmengine - INFO - Epoch(train) [83][450/529] lr: 5.000000e-04 eta: 6:41:38 time: 0.355888 data_time: 0.032013 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.906820 2023/08/08 15:13:21 - mmengine - INFO - Epoch(train) [83][460/529] lr: 5.000000e-04 eta: 6:41:35 time: 0.358596 data_time: 0.032097 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.875474 2023/08/08 15:13:25 - mmengine - INFO - Epoch(train) [83][470/529] lr: 5.000000e-04 eta: 6:41:31 time: 0.361564 data_time: 0.032211 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.867219 2023/08/08 15:13:29 - mmengine - INFO - Epoch(train) [83][480/529] lr: 5.000000e-04 eta: 6:41:28 time: 0.361914 data_time: 0.032154 memory: 4565 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.864031 2023/08/08 15:13:32 - mmengine - INFO - Epoch(train) [83][490/529] lr: 5.000000e-04 eta: 6:41:24 time: 0.361299 data_time: 0.032243 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.886793 2023/08/08 15:13:36 - mmengine - INFO - Epoch(train) [83][500/529] lr: 5.000000e-04 eta: 6:41:20 time: 0.358631 data_time: 0.032428 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.854212 2023/08/08 15:13:39 - mmengine - INFO - Epoch(train) [83][510/529] lr: 5.000000e-04 eta: 6:41:16 time: 0.355426 data_time: 0.032540 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.875908 2023/08/08 15:13:43 - mmengine - INFO - Epoch(train) [83][520/529] lr: 5.000000e-04 eta: 6:41:13 time: 0.352171 data_time: 0.032191 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.833137 2023/08/08 15:13:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:13:50 - mmengine - INFO - Epoch(train) [84][ 10/529] lr: 5.000000e-04 eta: 6:41:07 time: 0.360471 data_time: 0.035943 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.932702 2023/08/08 15:13:54 - mmengine - INFO - Epoch(train) [84][ 20/529] lr: 5.000000e-04 eta: 6:41:03 time: 0.367546 data_time: 0.036262 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.895639 2023/08/08 15:13:57 - mmengine - INFO - Epoch(train) [84][ 30/529] lr: 5.000000e-04 eta: 6:41:00 time: 0.369306 data_time: 0.036424 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.874931 2023/08/08 15:14:01 - mmengine - INFO - Epoch(train) [84][ 40/529] lr: 5.000000e-04 eta: 6:40:56 time: 0.368415 data_time: 0.037475 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.905390 2023/08/08 15:14:05 - mmengine - INFO - Epoch(train) [84][ 50/529] lr: 5.000000e-04 eta: 6:40:53 time: 0.372347 data_time: 0.038413 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.917307 2023/08/08 15:14:08 - mmengine - INFO - Epoch(train) [84][ 60/529] lr: 5.000000e-04 eta: 6:40:49 time: 0.363597 data_time: 0.033335 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.858728 2023/08/08 15:14:12 - mmengine - INFO - Epoch(train) [84][ 70/529] lr: 5.000000e-04 eta: 6:40:46 time: 0.359571 data_time: 0.033397 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.879491 2023/08/08 15:14:15 - mmengine - INFO - Epoch(train) [84][ 80/529] lr: 5.000000e-04 eta: 6:40:42 time: 0.361434 data_time: 0.033774 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.916426 2023/08/08 15:14:19 - mmengine - INFO - Epoch(train) [84][ 90/529] lr: 5.000000e-04 eta: 6:40:39 time: 0.361895 data_time: 0.032627 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.835445 2023/08/08 15:14:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:14:22 - mmengine - INFO - Epoch(train) [84][100/529] lr: 5.000000e-04 eta: 6:40:35 time: 0.357763 data_time: 0.032361 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.872571 2023/08/08 15:14:26 - mmengine - INFO - Epoch(train) [84][110/529] lr: 5.000000e-04 eta: 6:40:31 time: 0.358358 data_time: 0.032340 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.887264 2023/08/08 15:14:30 - mmengine - INFO - Epoch(train) [84][120/529] lr: 5.000000e-04 eta: 6:40:28 time: 0.360782 data_time: 0.032071 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.834633 2023/08/08 15:14:33 - mmengine - INFO - Epoch(train) [84][130/529] lr: 5.000000e-04 eta: 6:40:24 time: 0.360674 data_time: 0.031774 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.846956 2023/08/08 15:14:37 - mmengine - INFO - Epoch(train) [84][140/529] lr: 5.000000e-04 eta: 6:40:21 time: 0.361702 data_time: 0.032320 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.874855 2023/08/08 15:14:41 - mmengine - INFO - Epoch(train) [84][150/529] lr: 5.000000e-04 eta: 6:40:18 time: 0.368933 data_time: 0.033225 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.854020 2023/08/08 15:14:45 - mmengine - INFO - Epoch(train) [84][160/529] lr: 5.000000e-04 eta: 6:40:14 time: 0.371560 data_time: 0.033746 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.828906 2023/08/08 15:14:48 - mmengine - INFO - Epoch(train) [84][170/529] lr: 5.000000e-04 eta: 6:40:11 time: 0.368307 data_time: 0.033541 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.887862 2023/08/08 15:14:52 - mmengine - INFO - Epoch(train) [84][180/529] lr: 5.000000e-04 eta: 6:40:07 time: 0.367134 data_time: 0.033482 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.886009 2023/08/08 15:14:55 - mmengine - INFO - Epoch(train) [84][190/529] lr: 5.000000e-04 eta: 6:40:04 time: 0.366743 data_time: 0.034051 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.903431 2023/08/08 15:14:59 - mmengine - INFO - Epoch(train) [84][200/529] lr: 5.000000e-04 eta: 6:40:00 time: 0.362451 data_time: 0.034064 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.875122 2023/08/08 15:15:03 - mmengine - INFO - Epoch(train) [84][210/529] lr: 5.000000e-04 eta: 6:39:57 time: 0.363000 data_time: 0.034097 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.862442 2023/08/08 15:15:06 - mmengine - INFO - Epoch(train) [84][220/529] lr: 5.000000e-04 eta: 6:39:53 time: 0.364062 data_time: 0.034691 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.878748 2023/08/08 15:15:10 - mmengine - INFO - Epoch(train) [84][230/529] lr: 5.000000e-04 eta: 6:39:50 time: 0.363803 data_time: 0.034339 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.801715 2023/08/08 15:15:14 - mmengine - INFO - Epoch(train) [84][240/529] lr: 5.000000e-04 eta: 6:39:46 time: 0.363051 data_time: 0.033939 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.904803 2023/08/08 15:15:17 - mmengine - INFO - Epoch(train) [84][250/529] lr: 5.000000e-04 eta: 6:39:43 time: 0.361654 data_time: 0.033588 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.854651 2023/08/08 15:15:21 - mmengine - INFO - Epoch(train) [84][260/529] lr: 5.000000e-04 eta: 6:39:39 time: 0.361833 data_time: 0.033368 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.879559 2023/08/08 15:15:25 - mmengine - INFO - Epoch(train) [84][270/529] lr: 5.000000e-04 eta: 6:39:36 time: 0.363195 data_time: 0.032904 memory: 4565 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.853482 2023/08/08 15:15:28 - mmengine - INFO - Epoch(train) [84][280/529] lr: 5.000000e-04 eta: 6:39:32 time: 0.365015 data_time: 0.033395 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.872581 2023/08/08 15:15:32 - mmengine - INFO - Epoch(train) [84][290/529] lr: 5.000000e-04 eta: 6:39:29 time: 0.364754 data_time: 0.032902 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.865063 2023/08/08 15:15:35 - mmengine - INFO - Epoch(train) [84][300/529] lr: 5.000000e-04 eta: 6:39:25 time: 0.364952 data_time: 0.032412 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.895777 2023/08/08 15:15:39 - mmengine - INFO - Epoch(train) [84][310/529] lr: 5.000000e-04 eta: 6:39:21 time: 0.360449 data_time: 0.032371 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.922442 2023/08/08 15:15:43 - mmengine - INFO - Epoch(train) [84][320/529] lr: 5.000000e-04 eta: 6:39:18 time: 0.361363 data_time: 0.033100 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.860006 2023/08/08 15:15:46 - mmengine - INFO - Epoch(train) [84][330/529] lr: 5.000000e-04 eta: 6:39:15 time: 0.361477 data_time: 0.033131 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.881796 2023/08/08 15:15:50 - mmengine - INFO - Epoch(train) [84][340/529] lr: 5.000000e-04 eta: 6:39:11 time: 0.364073 data_time: 0.033324 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.924418 2023/08/08 15:15:54 - mmengine - INFO - Epoch(train) [84][350/529] lr: 5.000000e-04 eta: 6:39:07 time: 0.361812 data_time: 0.033421 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.904552 2023/08/08 15:15:57 - mmengine - INFO - Epoch(train) [84][360/529] lr: 5.000000e-04 eta: 6:39:04 time: 0.362171 data_time: 0.033502 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.825448 2023/08/08 15:16:01 - mmengine - INFO - Epoch(train) [84][370/529] lr: 5.000000e-04 eta: 6:39:00 time: 0.361519 data_time: 0.033106 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.887344 2023/08/08 15:16:04 - mmengine - INFO - Epoch(train) [84][380/529] lr: 5.000000e-04 eta: 6:38:57 time: 0.360578 data_time: 0.032913 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.856105 2023/08/08 15:16:08 - mmengine - INFO - Epoch(train) [84][390/529] lr: 5.000000e-04 eta: 6:38:53 time: 0.361044 data_time: 0.033254 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.918193 2023/08/08 15:16:12 - mmengine - INFO - Epoch(train) [84][400/529] lr: 5.000000e-04 eta: 6:38:50 time: 0.363438 data_time: 0.033475 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.905235 2023/08/08 15:16:15 - mmengine - INFO - Epoch(train) [84][410/529] lr: 5.000000e-04 eta: 6:38:46 time: 0.363527 data_time: 0.033226 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.841365 2023/08/08 15:16:19 - mmengine - INFO - Epoch(train) [84][420/529] lr: 5.000000e-04 eta: 6:38:43 time: 0.361715 data_time: 0.032658 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.886719 2023/08/08 15:16:22 - mmengine - INFO - Epoch(train) [84][430/529] lr: 5.000000e-04 eta: 6:38:39 time: 0.360338 data_time: 0.032333 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.892679 2023/08/08 15:16:26 - mmengine - INFO - Epoch(train) [84][440/529] lr: 5.000000e-04 eta: 6:38:35 time: 0.357460 data_time: 0.031773 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.815678 2023/08/08 15:16:30 - mmengine - INFO - Epoch(train) [84][450/529] lr: 5.000000e-04 eta: 6:38:32 time: 0.361282 data_time: 0.032138 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.927917 2023/08/08 15:16:33 - mmengine - INFO - Epoch(train) [84][460/529] lr: 5.000000e-04 eta: 6:38:29 time: 0.363148 data_time: 0.032430 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.873299 2023/08/08 15:16:37 - mmengine - INFO - Epoch(train) [84][470/529] lr: 5.000000e-04 eta: 6:38:25 time: 0.365903 data_time: 0.032690 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.857821 2023/08/08 15:16:41 - mmengine - INFO - Epoch(train) [84][480/529] lr: 5.000000e-04 eta: 6:38:22 time: 0.368998 data_time: 0.032513 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.867688 2023/08/08 15:16:45 - mmengine - INFO - Epoch(train) [84][490/529] lr: 5.000000e-04 eta: 6:38:19 time: 0.374882 data_time: 0.032761 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.847708 2023/08/08 15:16:48 - mmengine - INFO - Epoch(train) [84][500/529] lr: 5.000000e-04 eta: 6:38:15 time: 0.369525 data_time: 0.032579 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.933396 2023/08/08 15:16:52 - mmengine - INFO - Epoch(train) [84][510/529] lr: 5.000000e-04 eta: 6:38:12 time: 0.376159 data_time: 0.036320 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.835821 2023/08/08 15:16:56 - mmengine - INFO - Epoch(train) [84][520/529] lr: 5.000000e-04 eta: 6:38:09 time: 0.375383 data_time: 0.036488 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.852301 2023/08/08 15:16:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:17:03 - mmengine - INFO - Epoch(train) [85][ 10/529] lr: 5.000000e-04 eta: 6:38:02 time: 0.370655 data_time: 0.040215 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.870769 2023/08/08 15:17:06 - mmengine - INFO - Epoch(train) [85][ 20/529] lr: 5.000000e-04 eta: 6:37:58 time: 0.368235 data_time: 0.039639 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.871878 2023/08/08 15:17:10 - mmengine - INFO - Epoch(train) [85][ 30/529] lr: 5.000000e-04 eta: 6:37:55 time: 0.358266 data_time: 0.035311 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.942932 2023/08/08 15:17:13 - mmengine - INFO - Epoch(train) [85][ 40/529] lr: 5.000000e-04 eta: 6:37:51 time: 0.354275 data_time: 0.035494 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.924480 2023/08/08 15:17:17 - mmengine - INFO - Epoch(train) [85][ 50/529] lr: 5.000000e-04 eta: 6:37:47 time: 0.353165 data_time: 0.035517 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.773430 2023/08/08 15:17:20 - mmengine - INFO - Epoch(train) [85][ 60/529] lr: 5.000000e-04 eta: 6:37:43 time: 0.348569 data_time: 0.031968 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.823142 2023/08/08 15:17:24 - mmengine - INFO - Epoch(train) [85][ 70/529] lr: 5.000000e-04 eta: 6:37:40 time: 0.348055 data_time: 0.032117 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.827604 2023/08/08 15:17:27 - mmengine - INFO - Epoch(train) [85][ 80/529] lr: 5.000000e-04 eta: 6:37:36 time: 0.351443 data_time: 0.032306 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.916727 2023/08/08 15:17:31 - mmengine - INFO - Epoch(train) [85][ 90/529] lr: 5.000000e-04 eta: 6:37:33 time: 0.352917 data_time: 0.031885 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.882341 2023/08/08 15:17:35 - mmengine - INFO - Epoch(train) [85][100/529] lr: 5.000000e-04 eta: 6:37:29 time: 0.354906 data_time: 0.031614 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.871791 2023/08/08 15:17:38 - mmengine - INFO - Epoch(train) [85][110/529] lr: 5.000000e-04 eta: 6:37:25 time: 0.355338 data_time: 0.031662 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.846984 2023/08/08 15:17:42 - mmengine - INFO - Epoch(train) [85][120/529] lr: 5.000000e-04 eta: 6:37:22 time: 0.358702 data_time: 0.032184 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.899148 2023/08/08 15:17:45 - mmengine - INFO - Epoch(train) [85][130/529] lr: 5.000000e-04 eta: 6:37:18 time: 0.359749 data_time: 0.032550 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.880792 2023/08/08 15:17:49 - mmengine - INFO - Epoch(train) [85][140/529] lr: 5.000000e-04 eta: 6:37:15 time: 0.357366 data_time: 0.032942 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.795285 2023/08/08 15:17:52 - mmengine - INFO - Epoch(train) [85][150/529] lr: 5.000000e-04 eta: 6:37:11 time: 0.355928 data_time: 0.033817 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.867513 2023/08/08 15:17:56 - mmengine - INFO - Epoch(train) [85][160/529] lr: 5.000000e-04 eta: 6:37:07 time: 0.355036 data_time: 0.034228 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.899628 2023/08/08 15:17:59 - mmengine - INFO - Epoch(train) [85][170/529] lr: 5.000000e-04 eta: 6:37:04 time: 0.353909 data_time: 0.033824 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.900085 2023/08/08 15:18:03 - mmengine - INFO - Epoch(train) [85][180/529] lr: 5.000000e-04 eta: 6:37:00 time: 0.351408 data_time: 0.033397 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.837201 2023/08/08 15:18:07 - mmengine - INFO - Epoch(train) [85][190/529] lr: 5.000000e-04 eta: 6:36:57 time: 0.356572 data_time: 0.037132 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.899399 2023/08/08 15:18:10 - mmengine - INFO - Epoch(train) [85][200/529] lr: 5.000000e-04 eta: 6:36:53 time: 0.360183 data_time: 0.036760 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.923591 2023/08/08 15:18:14 - mmengine - INFO - Epoch(train) [85][210/529] lr: 5.000000e-04 eta: 6:36:49 time: 0.360384 data_time: 0.036297 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.920519 2023/08/08 15:18:17 - mmengine - INFO - Epoch(train) [85][220/529] lr: 5.000000e-04 eta: 6:36:46 time: 0.360837 data_time: 0.035973 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.912833 2023/08/08 15:18:21 - mmengine - INFO - Epoch(train) [85][230/529] lr: 5.000000e-04 eta: 6:36:42 time: 0.359988 data_time: 0.036244 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.902900 2023/08/08 15:18:25 - mmengine - INFO - Epoch(train) [85][240/529] lr: 5.000000e-04 eta: 6:36:39 time: 0.358319 data_time: 0.032842 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.851867 2023/08/08 15:18:28 - mmengine - INFO - Epoch(train) [85][250/529] lr: 5.000000e-04 eta: 6:36:36 time: 0.363015 data_time: 0.032756 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.859176 2023/08/08 15:18:32 - mmengine - INFO - Epoch(train) [85][260/529] lr: 5.000000e-04 eta: 6:36:32 time: 0.371709 data_time: 0.033031 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.843504 2023/08/08 15:18:36 - mmengine - INFO - Epoch(train) [85][270/529] lr: 5.000000e-04 eta: 6:36:29 time: 0.372677 data_time: 0.033538 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.896044 2023/08/08 15:18:40 - mmengine - INFO - Epoch(train) [85][280/529] lr: 5.000000e-04 eta: 6:36:25 time: 0.373961 data_time: 0.033922 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.881332 2023/08/08 15:18:43 - mmengine - INFO - Epoch(train) [85][290/529] lr: 5.000000e-04 eta: 6:36:22 time: 0.372605 data_time: 0.033469 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.856876 2023/08/08 15:18:47 - mmengine - INFO - Epoch(train) [85][300/529] lr: 5.000000e-04 eta: 6:36:18 time: 0.366106 data_time: 0.033169 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.906441 2023/08/08 15:18:51 - mmengine - INFO - Epoch(train) [85][310/529] lr: 5.000000e-04 eta: 6:36:15 time: 0.366349 data_time: 0.032909 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.835588 2023/08/08 15:18:54 - mmengine - INFO - Epoch(train) [85][320/529] lr: 5.000000e-04 eta: 6:36:11 time: 0.363722 data_time: 0.033060 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.884248 2023/08/08 15:18:58 - mmengine - INFO - Epoch(train) [85][330/529] lr: 5.000000e-04 eta: 6:36:08 time: 0.363911 data_time: 0.032499 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.859169 2023/08/08 15:19:02 - mmengine - INFO - Epoch(train) [85][340/529] lr: 5.000000e-04 eta: 6:36:04 time: 0.367058 data_time: 0.032284 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.905071 2023/08/08 15:19:05 - mmengine - INFO - Epoch(train) [85][350/529] lr: 5.000000e-04 eta: 6:36:01 time: 0.373579 data_time: 0.032500 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.886685 2023/08/08 15:19:09 - mmengine - INFO - Epoch(train) [85][360/529] lr: 5.000000e-04 eta: 6:35:58 time: 0.368003 data_time: 0.032438 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.886940 2023/08/08 15:19:13 - mmengine - INFO - Epoch(train) [85][370/529] lr: 5.000000e-04 eta: 6:35:55 time: 0.371914 data_time: 0.032056 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.813438 2023/08/08 15:19:16 - mmengine - INFO - Epoch(train) [85][380/529] lr: 5.000000e-04 eta: 6:35:51 time: 0.371732 data_time: 0.032031 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.795124 2023/08/08 15:19:20 - mmengine - INFO - Epoch(train) [85][390/529] lr: 5.000000e-04 eta: 6:35:47 time: 0.369895 data_time: 0.031884 memory: 4565 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.861126 2023/08/08 15:19:24 - mmengine - INFO - Epoch(train) [85][400/529] lr: 5.000000e-04 eta: 6:35:44 time: 0.361150 data_time: 0.031629 memory: 4565 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.920189 2023/08/08 15:19:27 - mmengine - INFO - Epoch(train) [85][410/529] lr: 5.000000e-04 eta: 6:35:40 time: 0.363043 data_time: 0.031363 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.897615 2023/08/08 15:19:31 - mmengine - INFO - Epoch(train) [85][420/529] lr: 5.000000e-04 eta: 6:35:37 time: 0.359907 data_time: 0.031754 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.860187 2023/08/08 15:19:34 - mmengine - INFO - Epoch(train) [85][430/529] lr: 5.000000e-04 eta: 6:35:33 time: 0.357695 data_time: 0.031784 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.931767 2023/08/08 15:19:38 - mmengine - INFO - Epoch(train) [85][440/529] lr: 5.000000e-04 eta: 6:35:29 time: 0.357486 data_time: 0.032403 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.848340 2023/08/08 15:19:42 - mmengine - INFO - Epoch(train) [85][450/529] lr: 5.000000e-04 eta: 6:35:26 time: 0.359317 data_time: 0.033573 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.812745 2023/08/08 15:19:45 - mmengine - INFO - Epoch(train) [85][460/529] lr: 5.000000e-04 eta: 6:35:22 time: 0.354975 data_time: 0.034436 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.897002 2023/08/08 15:19:49 - mmengine - INFO - Epoch(train) [85][470/529] lr: 5.000000e-04 eta: 6:35:19 time: 0.356064 data_time: 0.034623 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.872482 2023/08/08 15:19:52 - mmengine - INFO - Epoch(train) [85][480/529] lr: 5.000000e-04 eta: 6:35:15 time: 0.357724 data_time: 0.034700 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.843912 2023/08/08 15:19:56 - mmengine - INFO - Epoch(train) [85][490/529] lr: 5.000000e-04 eta: 6:35:11 time: 0.354964 data_time: 0.034306 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.799942 2023/08/08 15:19:59 - mmengine - INFO - Epoch(train) [85][500/529] lr: 5.000000e-04 eta: 6:35:08 time: 0.354731 data_time: 0.033193 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.841262 2023/08/08 15:20:03 - mmengine - INFO - Epoch(train) [85][510/529] lr: 5.000000e-04 eta: 6:35:05 time: 0.362317 data_time: 0.033064 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.866011 2023/08/08 15:20:07 - mmengine - INFO - Epoch(train) [85][520/529] lr: 5.000000e-04 eta: 6:35:01 time: 0.368520 data_time: 0.032891 memory: 4565 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.878359 2023/08/08 15:20:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:20:14 - mmengine - INFO - Epoch(train) [86][ 10/529] lr: 5.000000e-04 eta: 6:34:55 time: 0.370995 data_time: 0.037867 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.763189 2023/08/08 15:20:17 - mmengine - INFO - Epoch(train) [86][ 20/529] lr: 5.000000e-04 eta: 6:34:51 time: 0.370942 data_time: 0.038181 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.915363 2023/08/08 15:20:21 - mmengine - INFO - Epoch(train) [86][ 30/529] lr: 5.000000e-04 eta: 6:34:48 time: 0.366203 data_time: 0.037783 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.901186 2023/08/08 15:20:23 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:20:25 - mmengine - INFO - Epoch(train) [86][ 40/529] lr: 5.000000e-04 eta: 6:34:44 time: 0.359658 data_time: 0.037420 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.882553 2023/08/08 15:20:29 - mmengine - INFO - Epoch(train) [86][ 50/529] lr: 5.000000e-04 eta: 6:34:41 time: 0.367163 data_time: 0.037653 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.801947 2023/08/08 15:20:32 - mmengine - INFO - Epoch(train) [86][ 60/529] lr: 5.000000e-04 eta: 6:34:37 time: 0.361883 data_time: 0.032669 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.891791 2023/08/08 15:20:36 - mmengine - INFO - Epoch(train) [86][ 70/529] lr: 5.000000e-04 eta: 6:34:33 time: 0.362018 data_time: 0.033173 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.778011 2023/08/08 15:20:39 - mmengine - INFO - Epoch(train) [86][ 80/529] lr: 5.000000e-04 eta: 6:34:30 time: 0.365731 data_time: 0.033578 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.856811 2023/08/08 15:20:43 - mmengine - INFO - Epoch(train) [86][ 90/529] lr: 5.000000e-04 eta: 6:34:26 time: 0.363612 data_time: 0.033628 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.903615 2023/08/08 15:20:46 - mmengine - INFO - Epoch(train) [86][100/529] lr: 5.000000e-04 eta: 6:34:23 time: 0.358438 data_time: 0.033694 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.846236 2023/08/08 15:20:50 - mmengine - INFO - Epoch(train) [86][110/529] lr: 5.000000e-04 eta: 6:34:19 time: 0.358976 data_time: 0.033209 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.895009 2023/08/08 15:20:54 - mmengine - INFO - Epoch(train) [86][120/529] lr: 5.000000e-04 eta: 6:34:16 time: 0.360769 data_time: 0.032456 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.877016 2023/08/08 15:20:57 - mmengine - INFO - Epoch(train) [86][130/529] lr: 5.000000e-04 eta: 6:34:12 time: 0.356049 data_time: 0.031929 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.907852 2023/08/08 15:21:01 - mmengine - INFO - Epoch(train) [86][140/529] lr: 5.000000e-04 eta: 6:34:08 time: 0.357686 data_time: 0.031756 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.884358 2023/08/08 15:21:04 - mmengine - INFO - Epoch(train) [86][150/529] lr: 5.000000e-04 eta: 6:34:05 time: 0.358262 data_time: 0.031872 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.882205 2023/08/08 15:21:08 - mmengine - INFO - Epoch(train) [86][160/529] lr: 5.000000e-04 eta: 6:34:01 time: 0.359985 data_time: 0.032425 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.864561 2023/08/08 15:21:12 - mmengine - INFO - Epoch(train) [86][170/529] lr: 5.000000e-04 eta: 6:33:58 time: 0.358536 data_time: 0.032534 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.883413 2023/08/08 15:21:15 - mmengine - INFO - Epoch(train) [86][180/529] lr: 5.000000e-04 eta: 6:33:54 time: 0.358342 data_time: 0.032783 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.844194 2023/08/08 15:21:19 - mmengine - INFO - Epoch(train) [86][190/529] lr: 5.000000e-04 eta: 6:33:50 time: 0.357820 data_time: 0.032932 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.869570 2023/08/08 15:21:22 - mmengine - INFO - Epoch(train) [86][200/529] lr: 5.000000e-04 eta: 6:33:47 time: 0.358646 data_time: 0.032604 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.908829 2023/08/08 15:21:26 - mmengine - INFO - Epoch(train) [86][210/529] lr: 5.000000e-04 eta: 6:33:44 time: 0.360933 data_time: 0.032261 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.911988 2023/08/08 15:21:30 - mmengine - INFO - Epoch(train) [86][220/529] lr: 5.000000e-04 eta: 6:33:40 time: 0.362500 data_time: 0.032736 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.897763 2023/08/08 15:21:33 - mmengine - INFO - Epoch(train) [86][230/529] lr: 5.000000e-04 eta: 6:33:37 time: 0.363695 data_time: 0.032900 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.908178 2023/08/08 15:21:37 - mmengine - INFO - Epoch(train) [86][240/529] lr: 5.000000e-04 eta: 6:33:33 time: 0.368741 data_time: 0.032924 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.882924 2023/08/08 15:21:41 - mmengine - INFO - Epoch(train) [86][250/529] lr: 5.000000e-04 eta: 6:33:31 time: 0.378751 data_time: 0.033029 memory: 4565 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.902348 2023/08/08 15:21:45 - mmengine - INFO - Epoch(train) [86][260/529] lr: 5.000000e-04 eta: 6:33:27 time: 0.381852 data_time: 0.032873 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.848348 2023/08/08 15:21:49 - mmengine - INFO - Epoch(train) [86][270/529] lr: 5.000000e-04 eta: 6:33:24 time: 0.383881 data_time: 0.032606 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.862831 2023/08/08 15:21:53 - mmengine - INFO - Epoch(train) [86][280/529] lr: 5.000000e-04 eta: 6:33:21 time: 0.386346 data_time: 0.032400 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.857367 2023/08/08 15:21:56 - mmengine - INFO - Epoch(train) [86][290/529] lr: 5.000000e-04 eta: 6:33:17 time: 0.383425 data_time: 0.032448 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.879369 2023/08/08 15:22:00 - mmengine - INFO - Epoch(train) [86][300/529] lr: 5.000000e-04 eta: 6:33:14 time: 0.371330 data_time: 0.032411 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.922786 2023/08/08 15:22:03 - mmengine - INFO - Epoch(train) [86][310/529] lr: 5.000000e-04 eta: 6:33:10 time: 0.365926 data_time: 0.032748 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.876626 2023/08/08 15:22:07 - mmengine - INFO - Epoch(train) [86][320/529] lr: 5.000000e-04 eta: 6:33:06 time: 0.363834 data_time: 0.033005 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.909656 2023/08/08 15:22:11 - mmengine - INFO - Epoch(train) [86][330/529] lr: 5.000000e-04 eta: 6:33:03 time: 0.361417 data_time: 0.033110 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.890615 2023/08/08 15:22:15 - mmengine - INFO - Epoch(train) [86][340/529] lr: 5.000000e-04 eta: 6:33:00 time: 0.366631 data_time: 0.033144 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.884334 2023/08/08 15:22:19 - mmengine - INFO - Epoch(train) [86][350/529] lr: 5.000000e-04 eta: 6:32:57 time: 0.373300 data_time: 0.033633 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.882608 2023/08/08 15:22:22 - mmengine - INFO - Epoch(train) [86][360/529] lr: 5.000000e-04 eta: 6:32:53 time: 0.372191 data_time: 0.033405 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.860921 2023/08/08 15:22:26 - mmengine - INFO - Epoch(train) [86][370/529] lr: 5.000000e-04 eta: 6:32:49 time: 0.370469 data_time: 0.032732 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.916839 2023/08/08 15:22:29 - mmengine - INFO - Epoch(train) [86][380/529] lr: 5.000000e-04 eta: 6:32:46 time: 0.368845 data_time: 0.032297 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.828795 2023/08/08 15:22:33 - mmengine - INFO - Epoch(train) [86][390/529] lr: 5.000000e-04 eta: 6:32:42 time: 0.363736 data_time: 0.031912 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.906035 2023/08/08 15:22:37 - mmengine - INFO - Epoch(train) [86][400/529] lr: 5.000000e-04 eta: 6:32:39 time: 0.360129 data_time: 0.031861 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.856588 2023/08/08 15:22:40 - mmengine - INFO - Epoch(train) [86][410/529] lr: 5.000000e-04 eta: 6:32:35 time: 0.362117 data_time: 0.032046 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.844488 2023/08/08 15:22:44 - mmengine - INFO - Epoch(train) [86][420/529] lr: 5.000000e-04 eta: 6:32:32 time: 0.363695 data_time: 0.032437 memory: 4565 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.891085 2023/08/08 15:22:47 - mmengine - INFO - Epoch(train) [86][430/529] lr: 5.000000e-04 eta: 6:32:28 time: 0.362777 data_time: 0.032386 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.854967 2023/08/08 15:22:51 - mmengine - INFO - Epoch(train) [86][440/529] lr: 5.000000e-04 eta: 6:32:25 time: 0.361427 data_time: 0.032307 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.885772 2023/08/08 15:22:55 - mmengine - INFO - Epoch(train) [86][450/529] lr: 5.000000e-04 eta: 6:32:21 time: 0.364278 data_time: 0.035359 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.886096 2023/08/08 15:22:58 - mmengine - INFO - Epoch(train) [86][460/529] lr: 5.000000e-04 eta: 6:32:18 time: 0.363905 data_time: 0.035329 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.902159 2023/08/08 15:23:02 - mmengine - INFO - Epoch(train) [86][470/529] lr: 5.000000e-04 eta: 6:32:15 time: 0.369671 data_time: 0.035391 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.848705 2023/08/08 15:23:06 - mmengine - INFO - Epoch(train) [86][480/529] lr: 5.000000e-04 eta: 6:32:11 time: 0.371472 data_time: 0.035981 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.854672 2023/08/08 15:23:10 - mmengine - INFO - Epoch(train) [86][490/529] lr: 5.000000e-04 eta: 6:32:08 time: 0.373500 data_time: 0.036186 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.888111 2023/08/08 15:23:13 - mmengine - INFO - Epoch(train) [86][500/529] lr: 5.000000e-04 eta: 6:32:04 time: 0.371527 data_time: 0.035868 memory: 4565 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.848118 2023/08/08 15:23:17 - mmengine - INFO - Epoch(train) [86][510/529] lr: 5.000000e-04 eta: 6:32:01 time: 0.369875 data_time: 0.035473 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.872240 2023/08/08 15:23:21 - mmengine - INFO - Epoch(train) [86][520/529] lr: 5.000000e-04 eta: 6:31:57 time: 0.367424 data_time: 0.035547 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.901607 2023/08/08 15:23:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:23:28 - mmengine - INFO - Epoch(train) [87][ 10/529] lr: 5.000000e-04 eta: 6:31:51 time: 0.367522 data_time: 0.039099 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.919682 2023/08/08 15:23:31 - mmengine - INFO - Epoch(train) [87][ 20/529] lr: 5.000000e-04 eta: 6:31:47 time: 0.362752 data_time: 0.035704 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.899336 2023/08/08 15:23:35 - mmengine - INFO - Epoch(train) [87][ 30/529] lr: 5.000000e-04 eta: 6:31:43 time: 0.360796 data_time: 0.035632 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.870163 2023/08/08 15:23:38 - mmengine - INFO - Epoch(train) [87][ 40/529] lr: 5.000000e-04 eta: 6:31:40 time: 0.355150 data_time: 0.035948 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.858112 2023/08/08 15:23:42 - mmengine - INFO - Epoch(train) [87][ 50/529] lr: 5.000000e-04 eta: 6:31:36 time: 0.360132 data_time: 0.037515 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.882342 2023/08/08 15:23:45 - mmengine - INFO - Epoch(train) [87][ 60/529] lr: 5.000000e-04 eta: 6:31:33 time: 0.354622 data_time: 0.032865 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.853158 2023/08/08 15:23:49 - mmengine - INFO - Epoch(train) [87][ 70/529] lr: 5.000000e-04 eta: 6:31:29 time: 0.355059 data_time: 0.032927 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.859266 2023/08/08 15:23:52 - mmengine - INFO - Epoch(train) [87][ 80/529] lr: 5.000000e-04 eta: 6:31:25 time: 0.356895 data_time: 0.033661 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.918085 2023/08/08 15:23:56 - mmengine - INFO - Epoch(train) [87][ 90/529] lr: 5.000000e-04 eta: 6:31:22 time: 0.360286 data_time: 0.033208 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.881389 2023/08/08 15:24:00 - mmengine - INFO - Epoch(train) [87][100/529] lr: 5.000000e-04 eta: 6:31:18 time: 0.357692 data_time: 0.032488 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.942023 2023/08/08 15:24:03 - mmengine - INFO - Epoch(train) [87][110/529] lr: 5.000000e-04 eta: 6:31:15 time: 0.361257 data_time: 0.032232 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.912797 2023/08/08 15:24:07 - mmengine - INFO - Epoch(train) [87][120/529] lr: 5.000000e-04 eta: 6:31:12 time: 0.364766 data_time: 0.032928 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.916361 2023/08/08 15:24:11 - mmengine - INFO - Epoch(train) [87][130/529] lr: 5.000000e-04 eta: 6:31:08 time: 0.370523 data_time: 0.032490 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.891969 2023/08/08 15:24:15 - mmengine - INFO - Epoch(train) [87][140/529] lr: 5.000000e-04 eta: 6:31:05 time: 0.369634 data_time: 0.032277 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.892326 2023/08/08 15:24:18 - mmengine - INFO - Epoch(train) [87][150/529] lr: 5.000000e-04 eta: 6:31:01 time: 0.367996 data_time: 0.032118 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.875938 2023/08/08 15:24:22 - mmengine - INFO - Epoch(train) [87][160/529] lr: 5.000000e-04 eta: 6:30:57 time: 0.364741 data_time: 0.031912 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.872379 2023/08/08 15:24:25 - mmengine - INFO - Epoch(train) [87][170/529] lr: 5.000000e-04 eta: 6:30:54 time: 0.362280 data_time: 0.031384 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.875815 2023/08/08 15:24:29 - mmengine - INFO - Epoch(train) [87][180/529] lr: 5.000000e-04 eta: 6:30:50 time: 0.357637 data_time: 0.031964 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.850437 2023/08/08 15:24:32 - mmengine - INFO - Epoch(train) [87][190/529] lr: 5.000000e-04 eta: 6:30:47 time: 0.356618 data_time: 0.032073 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.878017 2023/08/08 15:24:36 - mmengine - INFO - Epoch(train) [87][200/529] lr: 5.000000e-04 eta: 6:30:43 time: 0.358662 data_time: 0.032322 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.873397 2023/08/08 15:24:40 - mmengine - INFO - Epoch(train) [87][210/529] lr: 5.000000e-04 eta: 6:30:40 time: 0.359029 data_time: 0.032535 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.857698 2023/08/08 15:24:43 - mmengine - INFO - Epoch(train) [87][220/529] lr: 5.000000e-04 eta: 6:30:36 time: 0.359863 data_time: 0.032908 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.913258 2023/08/08 15:24:47 - mmengine - INFO - Epoch(train) [87][230/529] lr: 5.000000e-04 eta: 6:30:32 time: 0.357790 data_time: 0.032023 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.883433 2023/08/08 15:24:50 - mmengine - INFO - Epoch(train) [87][240/529] lr: 5.000000e-04 eta: 6:30:29 time: 0.356119 data_time: 0.031898 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.808208 2023/08/08 15:24:54 - mmengine - INFO - Epoch(train) [87][250/529] lr: 5.000000e-04 eta: 6:30:25 time: 0.355313 data_time: 0.032216 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.898686 2023/08/08 15:24:58 - mmengine - INFO - Epoch(train) [87][260/529] lr: 5.000000e-04 eta: 6:30:22 time: 0.360434 data_time: 0.036717 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.890335 2023/08/08 15:25:01 - mmengine - INFO - Epoch(train) [87][270/529] lr: 5.000000e-04 eta: 6:30:19 time: 0.363825 data_time: 0.036417 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.893681 2023/08/08 15:25:05 - mmengine - INFO - Epoch(train) [87][280/529] lr: 5.000000e-04 eta: 6:30:15 time: 0.363620 data_time: 0.037023 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.890574 2023/08/08 15:25:08 - mmengine - INFO - Epoch(train) [87][290/529] lr: 5.000000e-04 eta: 6:30:11 time: 0.363221 data_time: 0.037148 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.868724 2023/08/08 15:25:12 - mmengine - INFO - Epoch(train) [87][300/529] lr: 5.000000e-04 eta: 6:30:08 time: 0.363217 data_time: 0.036922 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.876863 2023/08/08 15:25:16 - mmengine - INFO - Epoch(train) [87][310/529] lr: 5.000000e-04 eta: 6:30:04 time: 0.364692 data_time: 0.032299 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.865454 2023/08/08 15:25:20 - mmengine - INFO - Epoch(train) [87][320/529] lr: 5.000000e-04 eta: 6:30:01 time: 0.361914 data_time: 0.032333 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.902397 2023/08/08 15:25:23 - mmengine - INFO - Epoch(train) [87][330/529] lr: 5.000000e-04 eta: 6:29:57 time: 0.361912 data_time: 0.032221 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.829202 2023/08/08 15:25:27 - mmengine - INFO - Epoch(train) [87][340/529] lr: 5.000000e-04 eta: 6:29:53 time: 0.361302 data_time: 0.032260 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.886742 2023/08/08 15:25:30 - mmengine - INFO - Epoch(train) [87][350/529] lr: 5.000000e-04 eta: 6:29:50 time: 0.361178 data_time: 0.031972 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.870697 2023/08/08 15:25:34 - mmengine - INFO - Epoch(train) [87][360/529] lr: 5.000000e-04 eta: 6:29:46 time: 0.352310 data_time: 0.032155 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.886532 2023/08/08 15:25:37 - mmengine - INFO - Epoch(train) [87][370/529] lr: 5.000000e-04 eta: 6:29:42 time: 0.351659 data_time: 0.032489 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.790163 2023/08/08 15:25:41 - mmengine - INFO - Epoch(train) [87][380/529] lr: 5.000000e-04 eta: 6:29:39 time: 0.356791 data_time: 0.036370 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.874207 2023/08/08 15:25:45 - mmengine - INFO - Epoch(train) [87][390/529] lr: 5.000000e-04 eta: 6:29:36 time: 0.363403 data_time: 0.036836 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.874706 2023/08/08 15:25:48 - mmengine - INFO - Epoch(train) [87][400/529] lr: 5.000000e-04 eta: 6:29:32 time: 0.359770 data_time: 0.037270 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.850262 2023/08/08 15:25:52 - mmengine - INFO - Epoch(train) [87][410/529] lr: 5.000000e-04 eta: 6:29:28 time: 0.363366 data_time: 0.036948 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.863899 2023/08/08 15:25:55 - mmengine - INFO - Epoch(train) [87][420/529] lr: 5.000000e-04 eta: 6:29:25 time: 0.359974 data_time: 0.036555 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.829527 2023/08/08 15:25:59 - mmengine - INFO - Epoch(train) [87][430/529] lr: 5.000000e-04 eta: 6:29:21 time: 0.358254 data_time: 0.035865 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.898636 2023/08/08 15:26:02 - mmengine - INFO - Epoch(train) [87][440/529] lr: 5.000000e-04 eta: 6:29:17 time: 0.353875 data_time: 0.035333 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.869110 2023/08/08 15:26:06 - mmengine - INFO - Epoch(train) [87][450/529] lr: 5.000000e-04 eta: 6:29:14 time: 0.354893 data_time: 0.035047 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.841980 2023/08/08 15:26:10 - mmengine - INFO - Epoch(train) [87][460/529] lr: 5.000000e-04 eta: 6:29:10 time: 0.358667 data_time: 0.035327 memory: 4565 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.806219 2023/08/08 15:26:13 - mmengine - INFO - Epoch(train) [87][470/529] lr: 5.000000e-04 eta: 6:29:07 time: 0.364694 data_time: 0.035126 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.890916 2023/08/08 15:26:17 - mmengine - INFO - Epoch(train) [87][480/529] lr: 5.000000e-04 eta: 6:29:03 time: 0.362824 data_time: 0.031581 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.898041 2023/08/08 15:26:20 - mmengine - INFO - Epoch(train) [87][490/529] lr: 5.000000e-04 eta: 6:29:00 time: 0.361085 data_time: 0.031328 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.937525 2023/08/08 15:26:24 - mmengine - INFO - Epoch(train) [87][500/529] lr: 5.000000e-04 eta: 6:28:56 time: 0.364785 data_time: 0.031761 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.928285 2023/08/08 15:26:26 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:26:28 - mmengine - INFO - Epoch(train) [87][510/529] lr: 5.000000e-04 eta: 6:28:53 time: 0.360898 data_time: 0.031993 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.869059 2023/08/08 15:26:31 - mmengine - INFO - Epoch(train) [87][520/529] lr: 5.000000e-04 eta: 6:28:49 time: 0.357317 data_time: 0.032805 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.893018 2023/08/08 15:26:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:26:38 - mmengine - INFO - Epoch(train) [88][ 10/529] lr: 5.000000e-04 eta: 6:28:42 time: 0.358653 data_time: 0.035782 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.851976 2023/08/08 15:26:42 - mmengine - INFO - Epoch(train) [88][ 20/529] lr: 5.000000e-04 eta: 6:28:39 time: 0.356788 data_time: 0.035482 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.852890 2023/08/08 15:26:45 - mmengine - INFO - Epoch(train) [88][ 30/529] lr: 5.000000e-04 eta: 6:28:35 time: 0.356485 data_time: 0.035360 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.850761 2023/08/08 15:26:49 - mmengine - INFO - Epoch(train) [88][ 40/529] lr: 5.000000e-04 eta: 6:28:31 time: 0.355571 data_time: 0.034971 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.853384 2023/08/08 15:26:52 - mmengine - INFO - Epoch(train) [88][ 50/529] lr: 5.000000e-04 eta: 6:28:28 time: 0.358959 data_time: 0.036059 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.833453 2023/08/08 15:26:56 - mmengine - INFO - Epoch(train) [88][ 60/529] lr: 5.000000e-04 eta: 6:28:24 time: 0.355527 data_time: 0.032525 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.905020 2023/08/08 15:26:59 - mmengine - INFO - Epoch(train) [88][ 70/529] lr: 5.000000e-04 eta: 6:28:21 time: 0.356424 data_time: 0.036139 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.878934 2023/08/08 15:27:03 - mmengine - INFO - Epoch(train) [88][ 80/529] lr: 5.000000e-04 eta: 6:28:17 time: 0.354900 data_time: 0.036027 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.932961 2023/08/08 15:27:07 - mmengine - INFO - Epoch(train) [88][ 90/529] lr: 5.000000e-04 eta: 6:28:13 time: 0.354531 data_time: 0.035636 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.844077 2023/08/08 15:27:10 - mmengine - INFO - Epoch(train) [88][100/529] lr: 5.000000e-04 eta: 6:28:10 time: 0.357482 data_time: 0.035581 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.898054 2023/08/08 15:27:14 - mmengine - INFO - Epoch(train) [88][110/529] lr: 5.000000e-04 eta: 6:28:06 time: 0.363691 data_time: 0.035299 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.837860 2023/08/08 15:27:18 - mmengine - INFO - Epoch(train) [88][120/529] lr: 5.000000e-04 eta: 6:28:03 time: 0.361123 data_time: 0.032251 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.906352 2023/08/08 15:27:21 - mmengine - INFO - Epoch(train) [88][130/529] lr: 5.000000e-04 eta: 6:27:59 time: 0.360630 data_time: 0.032080 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.867488 2023/08/08 15:27:24 - mmengine - INFO - Epoch(train) [88][140/529] lr: 5.000000e-04 eta: 6:27:55 time: 0.358566 data_time: 0.032114 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.896223 2023/08/08 15:27:28 - mmengine - INFO - Epoch(train) [88][150/529] lr: 5.000000e-04 eta: 6:27:51 time: 0.353563 data_time: 0.031849 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.903624 2023/08/08 15:27:31 - mmengine - INFO - Epoch(train) [88][160/529] lr: 5.000000e-04 eta: 6:27:48 time: 0.346737 data_time: 0.031831 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.916835 2023/08/08 15:27:35 - mmengine - INFO - Epoch(train) [88][170/529] lr: 5.000000e-04 eta: 6:27:44 time: 0.349447 data_time: 0.031275 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.858273 2023/08/08 15:27:39 - mmengine - INFO - Epoch(train) [88][180/529] lr: 5.000000e-04 eta: 6:27:41 time: 0.352367 data_time: 0.031659 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.912597 2023/08/08 15:27:42 - mmengine - INFO - Epoch(train) [88][190/529] lr: 5.000000e-04 eta: 6:27:37 time: 0.358401 data_time: 0.031759 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.881291 2023/08/08 15:27:46 - mmengine - INFO - Epoch(train) [88][200/529] lr: 5.000000e-04 eta: 6:27:34 time: 0.361663 data_time: 0.031960 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.889428 2023/08/08 15:27:50 - mmengine - INFO - Epoch(train) [88][210/529] lr: 5.000000e-04 eta: 6:27:30 time: 0.363872 data_time: 0.031657 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.887700 2023/08/08 15:27:53 - mmengine - INFO - Epoch(train) [88][220/529] lr: 5.000000e-04 eta: 6:27:26 time: 0.359845 data_time: 0.031373 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.930845 2023/08/08 15:27:57 - mmengine - INFO - Epoch(train) [88][230/529] lr: 5.000000e-04 eta: 6:27:23 time: 0.358980 data_time: 0.031187 memory: 4565 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.845311 2023/08/08 15:28:00 - mmengine - INFO - Epoch(train) [88][240/529] lr: 5.000000e-04 eta: 6:27:20 time: 0.359958 data_time: 0.035094 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.943132 2023/08/08 15:28:04 - mmengine - INFO - Epoch(train) [88][250/529] lr: 5.000000e-04 eta: 6:27:16 time: 0.359424 data_time: 0.036001 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.858572 2023/08/08 15:28:07 - mmengine - INFO - Epoch(train) [88][260/529] lr: 5.000000e-04 eta: 6:27:12 time: 0.356622 data_time: 0.036379 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.881780 2023/08/08 15:28:11 - mmengine - INFO - Epoch(train) [88][270/529] lr: 5.000000e-04 eta: 6:27:08 time: 0.355694 data_time: 0.036572 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.914929 2023/08/08 15:28:14 - mmengine - INFO - Epoch(train) [88][280/529] lr: 5.000000e-04 eta: 6:27:05 time: 0.353985 data_time: 0.036243 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.910500 2023/08/08 15:28:18 - mmengine - INFO - Epoch(train) [88][290/529] lr: 5.000000e-04 eta: 6:27:01 time: 0.349046 data_time: 0.032419 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.892937 2023/08/08 15:28:21 - mmengine - INFO - Epoch(train) [88][300/529] lr: 5.000000e-04 eta: 6:26:57 time: 0.347270 data_time: 0.031463 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.880324 2023/08/08 15:28:25 - mmengine - INFO - Epoch(train) [88][310/529] lr: 5.000000e-04 eta: 6:26:54 time: 0.348553 data_time: 0.032055 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.906813 2023/08/08 15:28:28 - mmengine - INFO - Epoch(train) [88][320/529] lr: 5.000000e-04 eta: 6:26:50 time: 0.349133 data_time: 0.031867 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.911091 2023/08/08 15:28:32 - mmengine - INFO - Epoch(train) [88][330/529] lr: 5.000000e-04 eta: 6:26:47 time: 0.356780 data_time: 0.031819 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.861209 2023/08/08 15:28:36 - mmengine - INFO - Epoch(train) [88][340/529] lr: 5.000000e-04 eta: 6:26:43 time: 0.364653 data_time: 0.031485 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.817683 2023/08/08 15:28:40 - mmengine - INFO - Epoch(train) [88][350/529] lr: 5.000000e-04 eta: 6:26:40 time: 0.372197 data_time: 0.031713 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.770314 2023/08/08 15:28:43 - mmengine - INFO - Epoch(train) [88][360/529] lr: 5.000000e-04 eta: 6:26:37 time: 0.372077 data_time: 0.031276 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.829917 2023/08/08 15:28:47 - mmengine - INFO - Epoch(train) [88][370/529] lr: 5.000000e-04 eta: 6:26:33 time: 0.375730 data_time: 0.031673 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.862043 2023/08/08 15:28:51 - mmengine - INFO - Epoch(train) [88][380/529] lr: 5.000000e-04 eta: 6:26:29 time: 0.368063 data_time: 0.031857 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.876485 2023/08/08 15:28:54 - mmengine - INFO - Epoch(train) [88][390/529] lr: 5.000000e-04 eta: 6:26:26 time: 0.359024 data_time: 0.032032 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.894686 2023/08/08 15:28:58 - mmengine - INFO - Epoch(train) [88][400/529] lr: 5.000000e-04 eta: 6:26:22 time: 0.351461 data_time: 0.032012 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.836156 2023/08/08 15:29:01 - mmengine - INFO - Epoch(train) [88][410/529] lr: 5.000000e-04 eta: 6:26:18 time: 0.353931 data_time: 0.031753 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.879073 2023/08/08 15:29:05 - mmengine - INFO - Epoch(train) [88][420/529] lr: 5.000000e-04 eta: 6:26:15 time: 0.351582 data_time: 0.031523 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.891668 2023/08/08 15:29:08 - mmengine - INFO - Epoch(train) [88][430/529] lr: 5.000000e-04 eta: 6:26:11 time: 0.352638 data_time: 0.031430 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.894730 2023/08/08 15:29:12 - mmengine - INFO - Epoch(train) [88][440/529] lr: 5.000000e-04 eta: 6:26:08 time: 0.359900 data_time: 0.031737 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.864563 2023/08/08 15:29:16 - mmengine - INFO - Epoch(train) [88][450/529] lr: 5.000000e-04 eta: 6:26:04 time: 0.360753 data_time: 0.031417 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.854788 2023/08/08 15:29:19 - mmengine - INFO - Epoch(train) [88][460/529] lr: 5.000000e-04 eta: 6:26:00 time: 0.359301 data_time: 0.031297 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.870761 2023/08/08 15:29:23 - mmengine - INFO - Epoch(train) [88][470/529] lr: 5.000000e-04 eta: 6:25:57 time: 0.359579 data_time: 0.031128 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.882844 2023/08/08 15:29:26 - mmengine - INFO - Epoch(train) [88][480/529] lr: 5.000000e-04 eta: 6:25:54 time: 0.365666 data_time: 0.031664 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.858551 2023/08/08 15:29:30 - mmengine - INFO - Epoch(train) [88][490/529] lr: 5.000000e-04 eta: 6:25:50 time: 0.357787 data_time: 0.031385 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.877687 2023/08/08 15:29:33 - mmengine - INFO - Epoch(train) [88][500/529] lr: 5.000000e-04 eta: 6:25:46 time: 0.358421 data_time: 0.031877 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.887627 2023/08/08 15:29:37 - mmengine - INFO - Epoch(train) [88][510/529] lr: 5.000000e-04 eta: 6:25:42 time: 0.357909 data_time: 0.032310 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.907536 2023/08/08 15:29:41 - mmengine - INFO - Epoch(train) [88][520/529] lr: 5.000000e-04 eta: 6:25:39 time: 0.362288 data_time: 0.033201 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.877153 2023/08/08 15:29:44 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:29:48 - mmengine - INFO - Epoch(train) [89][ 10/529] lr: 5.000000e-04 eta: 6:25:33 time: 0.366861 data_time: 0.035958 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.856323 2023/08/08 15:29:52 - mmengine - INFO - Epoch(train) [89][ 20/529] lr: 5.000000e-04 eta: 6:25:29 time: 0.370326 data_time: 0.036026 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.873118 2023/08/08 15:29:55 - mmengine - INFO - Epoch(train) [89][ 30/529] lr: 5.000000e-04 eta: 6:25:26 time: 0.370682 data_time: 0.036559 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.865550 2023/08/08 15:29:59 - mmengine - INFO - Epoch(train) [89][ 40/529] lr: 5.000000e-04 eta: 6:25:22 time: 0.369742 data_time: 0.035957 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.826865 2023/08/08 15:30:03 - mmengine - INFO - Epoch(train) [89][ 50/529] lr: 5.000000e-04 eta: 6:25:19 time: 0.365725 data_time: 0.037108 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.911930 2023/08/08 15:30:06 - mmengine - INFO - Epoch(train) [89][ 60/529] lr: 5.000000e-04 eta: 6:25:15 time: 0.363780 data_time: 0.034079 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.929512 2023/08/08 15:30:10 - mmengine - INFO - Epoch(train) [89][ 70/529] lr: 5.000000e-04 eta: 6:25:12 time: 0.362398 data_time: 0.034286 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.898802 2023/08/08 15:30:14 - mmengine - INFO - Epoch(train) [89][ 80/529] lr: 5.000000e-04 eta: 6:25:08 time: 0.365250 data_time: 0.033630 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.889036 2023/08/08 15:30:17 - mmengine - INFO - Epoch(train) [89][ 90/529] lr: 5.000000e-04 eta: 6:25:05 time: 0.370890 data_time: 0.037081 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.834437 2023/08/08 15:30:21 - mmengine - INFO - Epoch(train) [89][100/529] lr: 5.000000e-04 eta: 6:25:02 time: 0.371380 data_time: 0.036840 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.870874 2023/08/08 15:30:25 - mmengine - INFO - Epoch(train) [89][110/529] lr: 5.000000e-04 eta: 6:24:58 time: 0.368777 data_time: 0.035889 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.826136 2023/08/08 15:30:28 - mmengine - INFO - Epoch(train) [89][120/529] lr: 5.000000e-04 eta: 6:24:55 time: 0.370374 data_time: 0.035278 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.855558 2023/08/08 15:30:32 - mmengine - INFO - Epoch(train) [89][130/529] lr: 5.000000e-04 eta: 6:24:51 time: 0.365882 data_time: 0.035134 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.862305 2023/08/08 15:30:36 - mmengine - INFO - Epoch(train) [89][140/529] lr: 5.000000e-04 eta: 6:24:47 time: 0.360643 data_time: 0.032034 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.884213 2023/08/08 15:30:39 - mmengine - INFO - Epoch(train) [89][150/529] lr: 5.000000e-04 eta: 6:24:44 time: 0.359672 data_time: 0.031693 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.898744 2023/08/08 15:30:43 - mmengine - INFO - Epoch(train) [89][160/529] lr: 5.000000e-04 eta: 6:24:41 time: 0.365041 data_time: 0.032309 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.926227 2023/08/08 15:30:46 - mmengine - INFO - Epoch(train) [89][170/529] lr: 5.000000e-04 eta: 6:24:37 time: 0.361750 data_time: 0.032264 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.904410 2023/08/08 15:30:50 - mmengine - INFO - Epoch(train) [89][180/529] lr: 5.000000e-04 eta: 6:24:33 time: 0.363091 data_time: 0.032619 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.878998 2023/08/08 15:30:54 - mmengine - INFO - Epoch(train) [89][190/529] lr: 5.000000e-04 eta: 6:24:30 time: 0.363190 data_time: 0.032233 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.858278 2023/08/08 15:30:58 - mmengine - INFO - Epoch(train) [89][200/529] lr: 5.000000e-04 eta: 6:24:27 time: 0.371284 data_time: 0.032948 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.880656 2023/08/08 15:31:01 - mmengine - INFO - Epoch(train) [89][210/529] lr: 5.000000e-04 eta: 6:24:23 time: 0.367748 data_time: 0.032349 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.907312 2023/08/08 15:31:05 - mmengine - INFO - Epoch(train) [89][220/529] lr: 5.000000e-04 eta: 6:24:20 time: 0.374087 data_time: 0.032455 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.867439 2023/08/08 15:31:09 - mmengine - INFO - Epoch(train) [89][230/529] lr: 5.000000e-04 eta: 6:24:16 time: 0.372534 data_time: 0.032185 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.853712 2023/08/08 15:31:12 - mmengine - INFO - Epoch(train) [89][240/529] lr: 5.000000e-04 eta: 6:24:13 time: 0.372006 data_time: 0.031935 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.884159 2023/08/08 15:31:16 - mmengine - INFO - Epoch(train) [89][250/529] lr: 5.000000e-04 eta: 6:24:09 time: 0.363467 data_time: 0.031289 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.878511 2023/08/08 15:31:19 - mmengine - INFO - Epoch(train) [89][260/529] lr: 5.000000e-04 eta: 6:24:06 time: 0.362950 data_time: 0.031405 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.865605 2023/08/08 15:31:23 - mmengine - INFO - Epoch(train) [89][270/529] lr: 5.000000e-04 eta: 6:24:02 time: 0.358201 data_time: 0.031707 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.869073 2023/08/08 15:31:27 - mmengine - INFO - Epoch(train) [89][280/529] lr: 5.000000e-04 eta: 6:23:58 time: 0.359334 data_time: 0.032365 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.913286 2023/08/08 15:31:30 - mmengine - INFO - Epoch(train) [89][290/529] lr: 5.000000e-04 eta: 6:23:55 time: 0.362350 data_time: 0.032794 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.925616 2023/08/08 15:31:34 - mmengine - INFO - Epoch(train) [89][300/529] lr: 5.000000e-04 eta: 6:23:52 time: 0.369392 data_time: 0.033087 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.890902 2023/08/08 15:31:38 - mmengine - INFO - Epoch(train) [89][310/529] lr: 5.000000e-04 eta: 6:23:49 time: 0.380021 data_time: 0.033425 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.914794 2023/08/08 15:31:42 - mmengine - INFO - Epoch(train) [89][320/529] lr: 5.000000e-04 eta: 6:23:46 time: 0.383781 data_time: 0.033425 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.815563 2023/08/08 15:31:46 - mmengine - INFO - Epoch(train) [89][330/529] lr: 5.000000e-04 eta: 6:23:42 time: 0.385613 data_time: 0.033785 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.938912 2023/08/08 15:31:49 - mmengine - INFO - Epoch(train) [89][340/529] lr: 5.000000e-04 eta: 6:23:39 time: 0.380669 data_time: 0.033532 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.894663 2023/08/08 15:31:53 - mmengine - INFO - Epoch(train) [89][350/529] lr: 5.000000e-04 eta: 6:23:36 time: 0.378697 data_time: 0.033536 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.826442 2023/08/08 15:31:57 - mmengine - INFO - Epoch(train) [89][360/529] lr: 5.000000e-04 eta: 6:23:32 time: 0.369423 data_time: 0.033196 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.807873 2023/08/08 15:32:00 - mmengine - INFO - Epoch(train) [89][370/529] lr: 5.000000e-04 eta: 6:23:28 time: 0.365169 data_time: 0.032834 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.885786 2023/08/08 15:32:04 - mmengine - INFO - Epoch(train) [89][380/529] lr: 5.000000e-04 eta: 6:23:25 time: 0.362247 data_time: 0.031730 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.905724 2023/08/08 15:32:08 - mmengine - INFO - Epoch(train) [89][390/529] lr: 5.000000e-04 eta: 6:23:21 time: 0.364167 data_time: 0.032325 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.865549 2023/08/08 15:32:11 - mmengine - INFO - Epoch(train) [89][400/529] lr: 5.000000e-04 eta: 6:23:18 time: 0.362081 data_time: 0.032758 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.903901 2023/08/08 15:32:15 - mmengine - INFO - Epoch(train) [89][410/529] lr: 5.000000e-04 eta: 6:23:14 time: 0.364061 data_time: 0.032897 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.898434 2023/08/08 15:32:19 - mmengine - INFO - Epoch(train) [89][420/529] lr: 5.000000e-04 eta: 6:23:11 time: 0.366518 data_time: 0.033472 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.818886 2023/08/08 15:32:23 - mmengine - INFO - Epoch(train) [89][430/529] lr: 5.000000e-04 eta: 6:23:08 time: 0.369998 data_time: 0.034073 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.858174 2023/08/08 15:32:26 - mmengine - INFO - Epoch(train) [89][440/529] lr: 5.000000e-04 eta: 6:23:04 time: 0.368200 data_time: 0.034575 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.842253 2023/08/08 15:32:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:32:30 - mmengine - INFO - Epoch(train) [89][450/529] lr: 5.000000e-04 eta: 6:23:00 time: 0.365907 data_time: 0.034125 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.787045 2023/08/08 15:32:33 - mmengine - INFO - Epoch(train) [89][460/529] lr: 5.000000e-04 eta: 6:22:57 time: 0.363281 data_time: 0.033931 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.791917 2023/08/08 15:32:37 - mmengine - INFO - Epoch(train) [89][470/529] lr: 5.000000e-04 eta: 6:22:53 time: 0.363138 data_time: 0.033925 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.861979 2023/08/08 15:32:41 - mmengine - INFO - Epoch(train) [89][480/529] lr: 5.000000e-04 eta: 6:22:50 time: 0.364901 data_time: 0.033386 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.843842 2023/08/08 15:32:44 - mmengine - INFO - Epoch(train) [89][490/529] lr: 5.000000e-04 eta: 6:22:47 time: 0.366919 data_time: 0.032889 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.886451 2023/08/08 15:32:48 - mmengine - INFO - Epoch(train) [89][500/529] lr: 5.000000e-04 eta: 6:22:43 time: 0.368698 data_time: 0.032721 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.834814 2023/08/08 15:32:52 - mmengine - INFO - Epoch(train) [89][510/529] lr: 5.000000e-04 eta: 6:22:40 time: 0.370274 data_time: 0.032928 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.864519 2023/08/08 15:32:56 - mmengine - INFO - Epoch(train) [89][520/529] lr: 5.000000e-04 eta: 6:22:37 time: 0.374188 data_time: 0.036145 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.946813 2023/08/08 15:32:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:33:03 - mmengine - INFO - Epoch(train) [90][ 10/529] lr: 5.000000e-04 eta: 6:22:30 time: 0.378701 data_time: 0.039799 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.879479 2023/08/08 15:33:07 - mmengine - INFO - Epoch(train) [90][ 20/529] lr: 5.000000e-04 eta: 6:22:27 time: 0.384112 data_time: 0.039787 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.890180 2023/08/08 15:33:11 - mmengine - INFO - Epoch(train) [90][ 30/529] lr: 5.000000e-04 eta: 6:22:24 time: 0.388597 data_time: 0.039554 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.876020 2023/08/08 15:33:15 - mmengine - INFO - Epoch(train) [90][ 40/529] lr: 5.000000e-04 eta: 6:22:21 time: 0.384816 data_time: 0.035746 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.903072 2023/08/08 15:33:18 - mmengine - INFO - Epoch(train) [90][ 50/529] lr: 5.000000e-04 eta: 6:22:17 time: 0.382720 data_time: 0.036670 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.886571 2023/08/08 15:33:22 - mmengine - INFO - Epoch(train) [90][ 60/529] lr: 5.000000e-04 eta: 6:22:13 time: 0.372818 data_time: 0.032667 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.815351 2023/08/08 15:33:25 - mmengine - INFO - Epoch(train) [90][ 70/529] lr: 5.000000e-04 eta: 6:22:10 time: 0.368081 data_time: 0.032587 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.894107 2023/08/08 15:33:29 - mmengine - INFO - Epoch(train) [90][ 80/529] lr: 5.000000e-04 eta: 6:22:06 time: 0.357930 data_time: 0.032506 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.846394 2023/08/08 15:33:32 - mmengine - INFO - Epoch(train) [90][ 90/529] lr: 5.000000e-04 eta: 6:22:03 time: 0.356081 data_time: 0.032333 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.850197 2023/08/08 15:33:36 - mmengine - INFO - Epoch(train) [90][100/529] lr: 5.000000e-04 eta: 6:21:59 time: 0.358147 data_time: 0.031554 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.827199 2023/08/08 15:33:40 - mmengine - INFO - Epoch(train) [90][110/529] lr: 5.000000e-04 eta: 6:21:56 time: 0.360882 data_time: 0.031894 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.881856 2023/08/08 15:33:44 - mmengine - INFO - Epoch(train) [90][120/529] lr: 5.000000e-04 eta: 6:21:53 time: 0.369822 data_time: 0.033513 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.915403 2023/08/08 15:33:48 - mmengine - INFO - Epoch(train) [90][130/529] lr: 5.000000e-04 eta: 6:21:49 time: 0.373879 data_time: 0.034020 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.892323 2023/08/08 15:33:51 - mmengine - INFO - Epoch(train) [90][140/529] lr: 5.000000e-04 eta: 6:21:46 time: 0.380046 data_time: 0.034832 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.855914 2023/08/08 15:33:55 - mmengine - INFO - Epoch(train) [90][150/529] lr: 5.000000e-04 eta: 6:21:43 time: 0.382518 data_time: 0.035058 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.901680 2023/08/08 15:33:59 - mmengine - INFO - Epoch(train) [90][160/529] lr: 5.000000e-04 eta: 6:21:39 time: 0.379674 data_time: 0.034698 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.898508 2023/08/08 15:34:03 - mmengine - INFO - Epoch(train) [90][170/529] lr: 5.000000e-04 eta: 6:21:36 time: 0.372858 data_time: 0.037142 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.867449 2023/08/08 15:34:06 - mmengine - INFO - Epoch(train) [90][180/529] lr: 5.000000e-04 eta: 6:21:32 time: 0.371523 data_time: 0.037068 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.939603 2023/08/08 15:34:10 - mmengine - INFO - Epoch(train) [90][190/529] lr: 5.000000e-04 eta: 6:21:29 time: 0.367676 data_time: 0.037166 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.863319 2023/08/08 15:34:13 - mmengine - INFO - Epoch(train) [90][200/529] lr: 5.000000e-04 eta: 6:21:25 time: 0.364345 data_time: 0.037342 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.880757 2023/08/08 15:34:17 - mmengine - INFO - Epoch(train) [90][210/529] lr: 5.000000e-04 eta: 6:21:22 time: 0.366573 data_time: 0.040388 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.890403 2023/08/08 15:34:21 - mmengine - INFO - Epoch(train) [90][220/529] lr: 5.000000e-04 eta: 6:21:18 time: 0.360123 data_time: 0.036437 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.909568 2023/08/08 15:34:24 - mmengine - INFO - Epoch(train) [90][230/529] lr: 5.000000e-04 eta: 6:21:14 time: 0.359961 data_time: 0.036514 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.841967 2023/08/08 15:34:28 - mmengine - INFO - Epoch(train) [90][240/529] lr: 5.000000e-04 eta: 6:21:11 time: 0.357789 data_time: 0.037153 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.890277 2023/08/08 15:34:31 - mmengine - INFO - Epoch(train) [90][250/529] lr: 5.000000e-04 eta: 6:21:07 time: 0.361020 data_time: 0.037513 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.898961 2023/08/08 15:34:35 - mmengine - INFO - Epoch(train) [90][260/529] lr: 5.000000e-04 eta: 6:21:04 time: 0.356419 data_time: 0.034180 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.819444 2023/08/08 15:34:39 - mmengine - INFO - Epoch(train) [90][270/529] lr: 5.000000e-04 eta: 6:21:00 time: 0.359742 data_time: 0.034469 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.838956 2023/08/08 15:34:42 - mmengine - INFO - Epoch(train) [90][280/529] lr: 5.000000e-04 eta: 6:20:57 time: 0.361587 data_time: 0.034395 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.822148 2023/08/08 15:34:46 - mmengine - INFO - Epoch(train) [90][290/529] lr: 5.000000e-04 eta: 6:20:53 time: 0.361734 data_time: 0.034301 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.880276 2023/08/08 15:34:49 - mmengine - INFO - Epoch(train) [90][300/529] lr: 5.000000e-04 eta: 6:20:49 time: 0.357909 data_time: 0.033667 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.914936 2023/08/08 15:34:53 - mmengine - INFO - Epoch(train) [90][310/529] lr: 5.000000e-04 eta: 6:20:46 time: 0.360272 data_time: 0.034398 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.875017 2023/08/08 15:34:57 - mmengine - INFO - Epoch(train) [90][320/529] lr: 5.000000e-04 eta: 6:20:42 time: 0.361088 data_time: 0.034372 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.851736 2023/08/08 15:35:00 - mmengine - INFO - Epoch(train) [90][330/529] lr: 5.000000e-04 eta: 6:20:39 time: 0.358783 data_time: 0.034329 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.834967 2023/08/08 15:35:04 - mmengine - INFO - Epoch(train) [90][340/529] lr: 5.000000e-04 eta: 6:20:35 time: 0.356168 data_time: 0.033234 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.871796 2023/08/08 15:35:08 - mmengine - INFO - Epoch(train) [90][350/529] lr: 5.000000e-04 eta: 6:20:32 time: 0.363250 data_time: 0.036711 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.894721 2023/08/08 15:35:11 - mmengine - INFO - Epoch(train) [90][360/529] lr: 5.000000e-04 eta: 6:20:28 time: 0.362017 data_time: 0.036376 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.887957 2023/08/08 15:35:15 - mmengine - INFO - Epoch(train) [90][370/529] lr: 5.000000e-04 eta: 6:20:25 time: 0.360446 data_time: 0.036038 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.875794 2023/08/08 15:35:18 - mmengine - INFO - Epoch(train) [90][380/529] lr: 5.000000e-04 eta: 6:20:21 time: 0.362754 data_time: 0.036274 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.888959 2023/08/08 15:35:22 - mmengine - INFO - Epoch(train) [90][390/529] lr: 5.000000e-04 eta: 6:20:18 time: 0.366116 data_time: 0.036041 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.848793 2023/08/08 15:35:25 - mmengine - INFO - Epoch(train) [90][400/529] lr: 5.000000e-04 eta: 6:20:14 time: 0.358452 data_time: 0.032341 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.899899 2023/08/08 15:35:29 - mmengine - INFO - Epoch(train) [90][410/529] lr: 5.000000e-04 eta: 6:20:10 time: 0.358898 data_time: 0.032453 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.823398 2023/08/08 15:35:33 - mmengine - INFO - Epoch(train) [90][420/529] lr: 5.000000e-04 eta: 6:20:07 time: 0.358991 data_time: 0.032683 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.869008 2023/08/08 15:35:36 - mmengine - INFO - Epoch(train) [90][430/529] lr: 5.000000e-04 eta: 6:20:03 time: 0.362576 data_time: 0.032797 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.876882 2023/08/08 15:35:40 - mmengine - INFO - Epoch(train) [90][440/529] lr: 5.000000e-04 eta: 6:20:00 time: 0.359720 data_time: 0.033524 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.842270 2023/08/08 15:35:43 - mmengine - INFO - Epoch(train) [90][450/529] lr: 5.000000e-04 eta: 6:19:56 time: 0.360287 data_time: 0.033577 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.911189 2023/08/08 15:35:47 - mmengine - INFO - Epoch(train) [90][460/529] lr: 5.000000e-04 eta: 6:19:52 time: 0.359358 data_time: 0.032881 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.885193 2023/08/08 15:35:51 - mmengine - INFO - Epoch(train) [90][470/529] lr: 5.000000e-04 eta: 6:19:49 time: 0.358130 data_time: 0.032709 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.844999 2023/08/08 15:35:54 - mmengine - INFO - Epoch(train) [90][480/529] lr: 5.000000e-04 eta: 6:19:45 time: 0.353656 data_time: 0.031941 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.856353 2023/08/08 15:35:58 - mmengine - INFO - Epoch(train) [90][490/529] lr: 5.000000e-04 eta: 6:19:41 time: 0.353556 data_time: 0.031258 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.901721 2023/08/08 15:36:01 - mmengine - INFO - Epoch(train) [90][500/529] lr: 5.000000e-04 eta: 6:19:38 time: 0.353899 data_time: 0.031162 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.855083 2023/08/08 15:36:05 - mmengine - INFO - Epoch(train) [90][510/529] lr: 5.000000e-04 eta: 6:19:35 time: 0.360487 data_time: 0.031344 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.834675 2023/08/08 15:36:09 - mmengine - INFO - Epoch(train) [90][520/529] lr: 5.000000e-04 eta: 6:19:31 time: 0.362798 data_time: 0.032689 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.856295 2023/08/08 15:36:12 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:36:12 - mmengine - INFO - Saving checkpoint at 90 epochs 2023/08/08 15:36:18 - mmengine - INFO - Epoch(val) [90][ 10/127] eta: 0:00:24 time: 0.198195 data_time: 0.012934 memory: 4565 2023/08/08 15:36:20 - mmengine - INFO - Epoch(val) [90][ 20/127] eta: 0:00:21 time: 0.198766 data_time: 0.013070 memory: 1634 2023/08/08 15:36:22 - mmengine - INFO - Epoch(val) [90][ 30/127] eta: 0:00:19 time: 0.199076 data_time: 0.013230 memory: 1634 2023/08/08 15:36:24 - mmengine - INFO - Epoch(val) [90][ 40/127] eta: 0:00:17 time: 0.199368 data_time: 0.013399 memory: 1634 2023/08/08 15:36:26 - mmengine - INFO - Epoch(val) [90][ 50/127] eta: 0:00:15 time: 0.201281 data_time: 0.013693 memory: 1634 2023/08/08 15:36:28 - mmengine - INFO - Epoch(val) [90][ 60/127] eta: 0:00:13 time: 0.198745 data_time: 0.011699 memory: 1634 2023/08/08 15:36:30 - mmengine - INFO - Epoch(val) [90][ 70/127] eta: 0:00:11 time: 0.198608 data_time: 0.011653 memory: 1634 2023/08/08 15:36:32 - mmengine - INFO - Epoch(val) [90][ 80/127] eta: 0:00:09 time: 0.198307 data_time: 0.011501 memory: 1634 2023/08/08 15:36:34 - mmengine - INFO - Epoch(val) [90][ 90/127] eta: 0:00:07 time: 0.198138 data_time: 0.011462 memory: 1634 2023/08/08 15:36:36 - mmengine - INFO - Epoch(val) [90][100/127] eta: 0:00:05 time: 0.198109 data_time: 0.011343 memory: 1634 2023/08/08 15:36:38 - mmengine - INFO - Epoch(val) [90][110/127] eta: 0:00:03 time: 0.198210 data_time: 0.011417 memory: 1634 2023/08/08 15:36:40 - mmengine - INFO - Epoch(val) [90][120/127] eta: 0:00:01 time: 0.198294 data_time: 0.011502 memory: 1634 2023/08/08 15:36:42 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 15:36:42 - mmengine - INFO - Evaluating AUC... 2023/08/08 15:36:42 - mmengine - INFO - Evaluating EPE... 2023/08/08 15:36:42 - mmengine - INFO - Epoch(val) [90][127/127] PCK: 0.981143 AUC: 0.671395 EPE: 11.852248 data_time: 0.012244 time: 0.197970 2023/08/08 15:36:46 - mmengine - INFO - Epoch(train) [91][ 10/529] lr: 5.000000e-04 eta: 6:19:25 time: 0.376364 data_time: 0.037225 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.860003 2023/08/08 15:36:50 - mmengine - INFO - Epoch(train) [91][ 20/529] lr: 5.000000e-04 eta: 6:19:22 time: 0.382124 data_time: 0.037906 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.911948 2023/08/08 15:36:54 - mmengine - INFO - Epoch(train) [91][ 30/529] lr: 5.000000e-04 eta: 6:19:18 time: 0.382126 data_time: 0.037994 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.896882 2023/08/08 15:36:57 - mmengine - INFO - Epoch(train) [91][ 40/529] lr: 5.000000e-04 eta: 6:19:15 time: 0.379145 data_time: 0.036554 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.894115 2023/08/08 15:37:01 - mmengine - INFO - Epoch(train) [91][ 50/529] lr: 5.000000e-04 eta: 6:19:11 time: 0.376493 data_time: 0.037279 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.908942 2023/08/08 15:37:05 - mmengine - INFO - Epoch(train) [91][ 60/529] lr: 5.000000e-04 eta: 6:19:08 time: 0.368652 data_time: 0.032765 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.873979 2023/08/08 15:37:08 - mmengine - INFO - Epoch(train) [91][ 70/529] lr: 5.000000e-04 eta: 6:19:04 time: 0.366000 data_time: 0.032756 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.830865 2023/08/08 15:37:12 - mmengine - INFO - Epoch(train) [91][ 80/529] lr: 5.000000e-04 eta: 6:19:01 time: 0.367645 data_time: 0.033770 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.861588 2023/08/08 15:37:16 - mmengine - INFO - Epoch(train) [91][ 90/529] lr: 5.000000e-04 eta: 6:18:58 time: 0.374857 data_time: 0.034530 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.879040 2023/08/08 15:37:20 - mmengine - INFO - Epoch(train) [91][100/529] lr: 5.000000e-04 eta: 6:18:55 time: 0.376876 data_time: 0.034777 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.872847 2023/08/08 15:37:23 - mmengine - INFO - Epoch(train) [91][110/529] lr: 5.000000e-04 eta: 6:18:51 time: 0.374837 data_time: 0.035022 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.862477 2023/08/08 15:37:27 - mmengine - INFO - Epoch(train) [91][120/529] lr: 5.000000e-04 eta: 6:18:47 time: 0.374530 data_time: 0.035566 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.855637 2023/08/08 15:37:31 - mmengine - INFO - Epoch(train) [91][130/529] lr: 5.000000e-04 eta: 6:18:44 time: 0.374805 data_time: 0.038293 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.875398 2023/08/08 15:37:35 - mmengine - INFO - Epoch(train) [91][140/529] lr: 5.000000e-04 eta: 6:18:41 time: 0.367202 data_time: 0.037822 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.948476 2023/08/08 15:37:38 - mmengine - INFO - Epoch(train) [91][150/529] lr: 5.000000e-04 eta: 6:18:37 time: 0.365128 data_time: 0.037858 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.788188 2023/08/08 15:37:42 - mmengine - INFO - Epoch(train) [91][160/529] lr: 5.000000e-04 eta: 6:18:34 time: 0.365827 data_time: 0.037210 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.839628 2023/08/08 15:37:45 - mmengine - INFO - Epoch(train) [91][170/529] lr: 5.000000e-04 eta: 6:18:30 time: 0.364484 data_time: 0.036098 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.877439 2023/08/08 15:37:49 - mmengine - INFO - Epoch(train) [91][180/529] lr: 5.000000e-04 eta: 6:18:26 time: 0.359932 data_time: 0.032103 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.863877 2023/08/08 15:37:53 - mmengine - INFO - Epoch(train) [91][190/529] lr: 5.000000e-04 eta: 6:18:23 time: 0.359749 data_time: 0.031983 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.882633 2023/08/08 15:37:56 - mmengine - INFO - Epoch(train) [91][200/529] lr: 5.000000e-04 eta: 6:18:19 time: 0.361643 data_time: 0.032083 memory: 4565 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.857682 2023/08/08 15:38:00 - mmengine - INFO - Epoch(train) [91][210/529] lr: 5.000000e-04 eta: 6:18:16 time: 0.362274 data_time: 0.032405 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.895355 2023/08/08 15:38:03 - mmengine - INFO - Epoch(train) [91][220/529] lr: 5.000000e-04 eta: 6:18:12 time: 0.362070 data_time: 0.032692 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.896286 2023/08/08 15:38:07 - mmengine - INFO - Epoch(train) [91][230/529] lr: 5.000000e-04 eta: 6:18:09 time: 0.365414 data_time: 0.032847 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.897909 2023/08/08 15:38:11 - mmengine - INFO - Epoch(train) [91][240/529] lr: 5.000000e-04 eta: 6:18:05 time: 0.368203 data_time: 0.032779 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.918550 2023/08/08 15:38:15 - mmengine - INFO - Epoch(train) [91][250/529] lr: 5.000000e-04 eta: 6:18:02 time: 0.368513 data_time: 0.032631 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.846780 2023/08/08 15:38:18 - mmengine - INFO - Epoch(train) [91][260/529] lr: 5.000000e-04 eta: 6:17:58 time: 0.367954 data_time: 0.032440 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.888854 2023/08/08 15:38:22 - mmengine - INFO - Epoch(train) [91][270/529] lr: 5.000000e-04 eta: 6:17:55 time: 0.370441 data_time: 0.032440 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.887430 2023/08/08 15:38:26 - mmengine - INFO - Epoch(train) [91][280/529] lr: 5.000000e-04 eta: 6:17:52 time: 0.369488 data_time: 0.032509 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.901348 2023/08/08 15:38:29 - mmengine - INFO - Epoch(train) [91][290/529] lr: 5.000000e-04 eta: 6:17:48 time: 0.367331 data_time: 0.032389 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.908079 2023/08/08 15:38:33 - mmengine - INFO - Epoch(train) [91][300/529] lr: 5.000000e-04 eta: 6:17:45 time: 0.370452 data_time: 0.032547 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.796040 2023/08/08 15:38:37 - mmengine - INFO - Epoch(train) [91][310/529] lr: 5.000000e-04 eta: 6:17:41 time: 0.370383 data_time: 0.032772 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.888139 2023/08/08 15:38:40 - mmengine - INFO - Epoch(train) [91][320/529] lr: 5.000000e-04 eta: 6:17:38 time: 0.369455 data_time: 0.032796 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.866219 2023/08/08 15:38:44 - mmengine - INFO - Epoch(train) [91][330/529] lr: 5.000000e-04 eta: 6:17:34 time: 0.371046 data_time: 0.033073 memory: 4565 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.876886 2023/08/08 15:38:48 - mmengine - INFO - Epoch(train) [91][340/529] lr: 5.000000e-04 eta: 6:17:31 time: 0.371867 data_time: 0.033173 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.915334 2023/08/08 15:38:52 - mmengine - INFO - Epoch(train) [91][350/529] lr: 5.000000e-04 eta: 6:17:28 time: 0.369045 data_time: 0.033402 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.842159 2023/08/08 15:38:56 - mmengine - INFO - Epoch(train) [91][360/529] lr: 5.000000e-04 eta: 6:17:25 time: 0.377519 data_time: 0.033258 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.889729 2023/08/08 15:38:59 - mmengine - INFO - Epoch(train) [91][370/529] lr: 5.000000e-04 eta: 6:17:21 time: 0.378605 data_time: 0.033532 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.862269 2023/08/08 15:39:03 - mmengine - INFO - Epoch(train) [91][380/529] lr: 5.000000e-04 eta: 6:17:18 time: 0.379087 data_time: 0.033244 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.877958 2023/08/08 15:39:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:39:07 - mmengine - INFO - Epoch(train) [91][390/529] lr: 5.000000e-04 eta: 6:17:14 time: 0.377965 data_time: 0.033381 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.895678 2023/08/08 15:39:10 - mmengine - INFO - Epoch(train) [91][400/529] lr: 5.000000e-04 eta: 6:17:11 time: 0.376463 data_time: 0.033066 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.867499 2023/08/08 15:39:14 - mmengine - INFO - Epoch(train) [91][410/529] lr: 5.000000e-04 eta: 6:17:07 time: 0.367689 data_time: 0.033102 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.908848 2023/08/08 15:39:18 - mmengine - INFO - Epoch(train) [91][420/529] lr: 5.000000e-04 eta: 6:17:04 time: 0.365109 data_time: 0.033274 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.878979 2023/08/08 15:39:21 - mmengine - INFO - Epoch(train) [91][430/529] lr: 5.000000e-04 eta: 6:17:00 time: 0.365813 data_time: 0.034037 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.813231 2023/08/08 15:39:25 - mmengine - INFO - Epoch(train) [91][440/529] lr: 5.000000e-04 eta: 6:16:57 time: 0.363926 data_time: 0.034168 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.906745 2023/08/08 15:39:29 - mmengine - INFO - Epoch(train) [91][450/529] lr: 5.000000e-04 eta: 6:16:53 time: 0.364240 data_time: 0.034363 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.886960 2023/08/08 15:39:33 - mmengine - INFO - Epoch(train) [91][460/529] lr: 5.000000e-04 eta: 6:16:50 time: 0.373795 data_time: 0.033958 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.912525 2023/08/08 15:39:36 - mmengine - INFO - Epoch(train) [91][470/529] lr: 5.000000e-04 eta: 6:16:47 time: 0.374932 data_time: 0.033432 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.852865 2023/08/08 15:39:40 - mmengine - INFO - Epoch(train) [91][480/529] lr: 5.000000e-04 eta: 6:16:43 time: 0.370149 data_time: 0.032602 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.903571 2023/08/08 15:39:44 - mmengine - INFO - Epoch(train) [91][490/529] lr: 5.000000e-04 eta: 6:16:40 time: 0.374801 data_time: 0.032653 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.895279 2023/08/08 15:39:47 - mmengine - INFO - Epoch(train) [91][500/529] lr: 5.000000e-04 eta: 6:16:36 time: 0.375135 data_time: 0.032655 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.866761 2023/08/08 15:39:51 - mmengine - INFO - Epoch(train) [91][510/529] lr: 5.000000e-04 eta: 6:16:33 time: 0.366943 data_time: 0.032684 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.870201 2023/08/08 15:39:55 - mmengine - INFO - Epoch(train) [91][520/529] lr: 5.000000e-04 eta: 6:16:29 time: 0.366651 data_time: 0.033229 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.910111 2023/08/08 15:39:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:40:02 - mmengine - INFO - Epoch(train) [92][ 10/529] lr: 5.000000e-04 eta: 6:16:23 time: 0.363837 data_time: 0.038245 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.880746 2023/08/08 15:40:05 - mmengine - INFO - Epoch(train) [92][ 20/529] lr: 5.000000e-04 eta: 6:16:19 time: 0.361460 data_time: 0.037939 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.860345 2023/08/08 15:40:09 - mmengine - INFO - Epoch(train) [92][ 30/529] lr: 5.000000e-04 eta: 6:16:15 time: 0.361229 data_time: 0.038344 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.822919 2023/08/08 15:40:13 - mmengine - INFO - Epoch(train) [92][ 40/529] lr: 5.000000e-04 eta: 6:16:12 time: 0.362817 data_time: 0.042255 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.913341 2023/08/08 15:40:16 - mmengine - INFO - Epoch(train) [92][ 50/529] lr: 5.000000e-04 eta: 6:16:08 time: 0.364992 data_time: 0.042820 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.851917 2023/08/08 15:40:20 - mmengine - INFO - Epoch(train) [92][ 60/529] lr: 5.000000e-04 eta: 6:16:05 time: 0.359536 data_time: 0.037391 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.880379 2023/08/08 15:40:23 - mmengine - INFO - Epoch(train) [92][ 70/529] lr: 5.000000e-04 eta: 6:16:01 time: 0.358884 data_time: 0.037352 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.906306 2023/08/08 15:40:27 - mmengine - INFO - Epoch(train) [92][ 80/529] lr: 5.000000e-04 eta: 6:15:57 time: 0.355615 data_time: 0.036632 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.865477 2023/08/08 15:40:30 - mmengine - INFO - Epoch(train) [92][ 90/529] lr: 5.000000e-04 eta: 6:15:54 time: 0.353303 data_time: 0.032086 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.912807 2023/08/08 15:40:34 - mmengine - INFO - Epoch(train) [92][100/529] lr: 5.000000e-04 eta: 6:15:50 time: 0.352041 data_time: 0.031740 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.850168 2023/08/08 15:40:38 - mmengine - INFO - Epoch(train) [92][110/529] lr: 5.000000e-04 eta: 6:15:47 time: 0.358145 data_time: 0.032554 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.898091 2023/08/08 15:40:41 - mmengine - INFO - Epoch(train) [92][120/529] lr: 5.000000e-04 eta: 6:15:43 time: 0.364170 data_time: 0.032487 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.882848 2023/08/08 15:40:45 - mmengine - INFO - Epoch(train) [92][130/529] lr: 5.000000e-04 eta: 6:15:40 time: 0.371536 data_time: 0.032972 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.881241 2023/08/08 15:40:49 - mmengine - INFO - Epoch(train) [92][140/529] lr: 5.000000e-04 eta: 6:15:37 time: 0.371813 data_time: 0.032894 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.847129 2023/08/08 15:40:52 - mmengine - INFO - Epoch(train) [92][150/529] lr: 5.000000e-04 eta: 6:15:33 time: 0.373352 data_time: 0.032937 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.868614 2023/08/08 15:40:56 - mmengine - INFO - Epoch(train) [92][160/529] lr: 5.000000e-04 eta: 6:15:29 time: 0.368367 data_time: 0.032520 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.880112 2023/08/08 15:41:00 - mmengine - INFO - Epoch(train) [92][170/529] lr: 5.000000e-04 eta: 6:15:26 time: 0.369279 data_time: 0.032754 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.899494 2023/08/08 15:41:03 - mmengine - INFO - Epoch(train) [92][180/529] lr: 5.000000e-04 eta: 6:15:23 time: 0.364166 data_time: 0.032911 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.889601 2023/08/08 15:41:07 - mmengine - INFO - Epoch(train) [92][190/529] lr: 5.000000e-04 eta: 6:15:19 time: 0.361812 data_time: 0.032630 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.932426 2023/08/08 15:41:10 - mmengine - INFO - Epoch(train) [92][200/529] lr: 5.000000e-04 eta: 6:15:15 time: 0.359120 data_time: 0.032426 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.880421 2023/08/08 15:41:14 - mmengine - INFO - Epoch(train) [92][210/529] lr: 5.000000e-04 eta: 6:15:12 time: 0.361862 data_time: 0.032013 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.863960 2023/08/08 15:41:18 - mmengine - INFO - Epoch(train) [92][220/529] lr: 5.000000e-04 eta: 6:15:08 time: 0.359683 data_time: 0.031987 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.903838 2023/08/08 15:41:21 - mmengine - INFO - Epoch(train) [92][230/529] lr: 5.000000e-04 eta: 6:15:05 time: 0.358413 data_time: 0.031591 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.889745 2023/08/08 15:41:25 - mmengine - INFO - Epoch(train) [92][240/529] lr: 5.000000e-04 eta: 6:15:01 time: 0.358025 data_time: 0.031928 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.868673 2023/08/08 15:41:28 - mmengine - INFO - Epoch(train) [92][250/529] lr: 5.000000e-04 eta: 6:14:57 time: 0.359795 data_time: 0.032216 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.842479 2023/08/08 15:41:32 - mmengine - INFO - Epoch(train) [92][260/529] lr: 5.000000e-04 eta: 6:14:54 time: 0.362094 data_time: 0.035655 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.891086 2023/08/08 15:41:36 - mmengine - INFO - Epoch(train) [92][270/529] lr: 5.000000e-04 eta: 6:14:50 time: 0.356915 data_time: 0.035428 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.937749 2023/08/08 15:41:39 - mmengine - INFO - Epoch(train) [92][280/529] lr: 5.000000e-04 eta: 6:14:47 time: 0.360301 data_time: 0.035455 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.875556 2023/08/08 15:41:43 - mmengine - INFO - Epoch(train) [92][290/529] lr: 5.000000e-04 eta: 6:14:43 time: 0.365004 data_time: 0.035907 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.912088 2023/08/08 15:41:47 - mmengine - INFO - Epoch(train) [92][300/529] lr: 5.000000e-04 eta: 6:14:40 time: 0.369972 data_time: 0.036062 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.907548 2023/08/08 15:41:50 - mmengine - INFO - Epoch(train) [92][310/529] lr: 5.000000e-04 eta: 6:14:36 time: 0.365169 data_time: 0.032671 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.873892 2023/08/08 15:41:54 - mmengine - INFO - Epoch(train) [92][320/529] lr: 5.000000e-04 eta: 6:14:33 time: 0.365341 data_time: 0.033055 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.885640 2023/08/08 15:41:58 - mmengine - INFO - Epoch(train) [92][330/529] lr: 5.000000e-04 eta: 6:14:29 time: 0.363975 data_time: 0.033022 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.865965 2023/08/08 15:42:01 - mmengine - INFO - Epoch(train) [92][340/529] lr: 5.000000e-04 eta: 6:14:26 time: 0.360306 data_time: 0.032515 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.883668 2023/08/08 15:42:05 - mmengine - INFO - Epoch(train) [92][350/529] lr: 5.000000e-04 eta: 6:14:22 time: 0.354101 data_time: 0.032427 memory: 4565 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.834275 2023/08/08 15:42:08 - mmengine - INFO - Epoch(train) [92][360/529] lr: 5.000000e-04 eta: 6:14:18 time: 0.358151 data_time: 0.032328 memory: 4565 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.856397 2023/08/08 15:42:12 - mmengine - INFO - Epoch(train) [92][370/529] lr: 5.000000e-04 eta: 6:14:15 time: 0.359518 data_time: 0.032166 memory: 4565 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.825085 2023/08/08 15:42:15 - mmengine - INFO - Epoch(train) [92][380/529] lr: 5.000000e-04 eta: 6:14:11 time: 0.356792 data_time: 0.032769 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.836725 2023/08/08 15:42:19 - mmengine - INFO - Epoch(train) [92][390/529] lr: 5.000000e-04 eta: 6:14:07 time: 0.355878 data_time: 0.032877 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.887280 2023/08/08 15:42:23 - mmengine - INFO - Epoch(train) [92][400/529] lr: 5.000000e-04 eta: 6:14:04 time: 0.360562 data_time: 0.032866 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.859687 2023/08/08 15:42:26 - mmengine - INFO - Epoch(train) [92][410/529] lr: 5.000000e-04 eta: 6:14:01 time: 0.359561 data_time: 0.036849 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.866110 2023/08/08 15:42:30 - mmengine - INFO - Epoch(train) [92][420/529] lr: 5.000000e-04 eta: 6:13:57 time: 0.358757 data_time: 0.036854 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.874400 2023/08/08 15:42:34 - mmengine - INFO - Epoch(train) [92][430/529] lr: 5.000000e-04 eta: 6:13:54 time: 0.365787 data_time: 0.037452 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.891715 2023/08/08 15:42:38 - mmengine - INFO - Epoch(train) [92][440/529] lr: 5.000000e-04 eta: 6:13:51 time: 0.375803 data_time: 0.037926 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.831390 2023/08/08 15:42:41 - mmengine - INFO - Epoch(train) [92][450/529] lr: 5.000000e-04 eta: 6:13:47 time: 0.377145 data_time: 0.037935 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.889305 2023/08/08 15:42:45 - mmengine - INFO - Epoch(train) [92][460/529] lr: 5.000000e-04 eta: 6:13:44 time: 0.372829 data_time: 0.034574 memory: 4565 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.820333 2023/08/08 15:42:49 - mmengine - INFO - Epoch(train) [92][470/529] lr: 5.000000e-04 eta: 6:13:40 time: 0.373916 data_time: 0.035425 memory: 4565 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.900662 2023/08/08 15:42:52 - mmengine - INFO - Epoch(train) [92][480/529] lr: 5.000000e-04 eta: 6:13:36 time: 0.366613 data_time: 0.034269 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.894082 2023/08/08 15:42:56 - mmengine - INFO - Epoch(train) [92][490/529] lr: 5.000000e-04 eta: 6:13:33 time: 0.360406 data_time: 0.034577 memory: 4565 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.920007 2023/08/08 15:42:59 - mmengine - INFO - Epoch(train) [92][500/529] lr: 5.000000e-04 eta: 6:13:29 time: 0.354654 data_time: 0.034225 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.915282 2023/08/08 15:43:03 - mmengine - INFO - Epoch(train) [92][510/529] lr: 5.000000e-04 eta: 6:13:25 time: 0.355334 data_time: 0.033494 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.889365 2023/08/08 15:43:06 - mmengine - INFO - Epoch(train) [92][520/529] lr: 5.000000e-04 eta: 6:13:22 time: 0.353117 data_time: 0.032497 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.904851 2023/08/08 15:43:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:43:13 - mmengine - INFO - Epoch(train) [93][ 10/529] lr: 5.000000e-04 eta: 6:13:15 time: 0.354919 data_time: 0.035756 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.947849 2023/08/08 15:43:17 - mmengine - INFO - Epoch(train) [93][ 20/529] lr: 5.000000e-04 eta: 6:13:12 time: 0.362963 data_time: 0.036177 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.958391 2023/08/08 15:43:21 - mmengine - INFO - Epoch(train) [93][ 30/529] lr: 5.000000e-04 eta: 6:13:08 time: 0.361715 data_time: 0.036831 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.834624 2023/08/08 15:43:24 - mmengine - INFO - Epoch(train) [93][ 40/529] lr: 5.000000e-04 eta: 6:13:04 time: 0.361524 data_time: 0.037042 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.902586 2023/08/08 15:43:28 - mmengine - INFO - Epoch(train) [93][ 50/529] lr: 5.000000e-04 eta: 6:13:01 time: 0.368328 data_time: 0.041265 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.855351 2023/08/08 15:43:31 - mmengine - INFO - Epoch(train) [93][ 60/529] lr: 5.000000e-04 eta: 6:12:57 time: 0.363051 data_time: 0.036555 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.916118 2023/08/08 15:43:35 - mmengine - INFO - Epoch(train) [93][ 70/529] lr: 5.000000e-04 eta: 6:12:54 time: 0.359738 data_time: 0.037184 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.902008 2023/08/08 15:43:39 - mmengine - INFO - Epoch(train) [93][ 80/529] lr: 5.000000e-04 eta: 6:12:50 time: 0.362040 data_time: 0.037110 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.923696 2023/08/08 15:43:42 - mmengine - INFO - Epoch(train) [93][ 90/529] lr: 5.000000e-04 eta: 6:12:47 time: 0.367059 data_time: 0.037628 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.899308 2023/08/08 15:43:46 - mmengine - INFO - Epoch(train) [93][100/529] lr: 5.000000e-04 eta: 6:12:43 time: 0.364190 data_time: 0.034228 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.857190 2023/08/08 15:43:50 - mmengine - INFO - Epoch(train) [93][110/529] lr: 5.000000e-04 eta: 6:12:40 time: 0.363885 data_time: 0.034779 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.893910 2023/08/08 15:43:53 - mmengine - INFO - Epoch(train) [93][120/529] lr: 5.000000e-04 eta: 6:12:36 time: 0.361916 data_time: 0.033930 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.887560 2023/08/08 15:43:57 - mmengine - INFO - Epoch(train) [93][130/529] lr: 5.000000e-04 eta: 6:12:32 time: 0.361324 data_time: 0.033520 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.898765 2023/08/08 15:44:00 - mmengine - INFO - Epoch(train) [93][140/529] lr: 5.000000e-04 eta: 6:12:29 time: 0.359040 data_time: 0.032889 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.832775 2023/08/08 15:44:04 - mmengine - INFO - Epoch(train) [93][150/529] lr: 5.000000e-04 eta: 6:12:25 time: 0.361519 data_time: 0.032987 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.873380 2023/08/08 15:44:08 - mmengine - INFO - Epoch(train) [93][160/529] lr: 5.000000e-04 eta: 6:12:22 time: 0.360902 data_time: 0.032176 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.888312 2023/08/08 15:44:11 - mmengine - INFO - Epoch(train) [93][170/529] lr: 5.000000e-04 eta: 6:12:18 time: 0.360405 data_time: 0.032166 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.866474 2023/08/08 15:44:15 - mmengine - INFO - Epoch(train) [93][180/529] lr: 5.000000e-04 eta: 6:12:15 time: 0.360164 data_time: 0.032284 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.894235 2023/08/08 15:44:19 - mmengine - INFO - Epoch(train) [93][190/529] lr: 5.000000e-04 eta: 6:12:11 time: 0.363885 data_time: 0.032569 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.849702 2023/08/08 15:44:22 - mmengine - INFO - Epoch(train) [93][200/529] lr: 5.000000e-04 eta: 6:12:08 time: 0.361563 data_time: 0.032959 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.901921 2023/08/08 15:44:26 - mmengine - INFO - Epoch(train) [93][210/529] lr: 5.000000e-04 eta: 6:12:04 time: 0.363413 data_time: 0.033536 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.855534 2023/08/08 15:44:30 - mmengine - INFO - Epoch(train) [93][220/529] lr: 5.000000e-04 eta: 6:12:01 time: 0.366915 data_time: 0.033749 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.864355 2023/08/08 15:44:33 - mmengine - INFO - Epoch(train) [93][230/529] lr: 5.000000e-04 eta: 6:11:57 time: 0.366075 data_time: 0.033698 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.808668 2023/08/08 15:44:37 - mmengine - INFO - Epoch(train) [93][240/529] lr: 5.000000e-04 eta: 6:11:54 time: 0.362161 data_time: 0.033433 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.874856 2023/08/08 15:44:40 - mmengine - INFO - Epoch(train) [93][250/529] lr: 5.000000e-04 eta: 6:11:50 time: 0.362791 data_time: 0.032759 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.923333 2023/08/08 15:44:44 - mmengine - INFO - Epoch(train) [93][260/529] lr: 5.000000e-04 eta: 6:11:46 time: 0.362694 data_time: 0.032131 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.862120 2023/08/08 15:44:48 - mmengine - INFO - Epoch(train) [93][270/529] lr: 5.000000e-04 eta: 6:11:43 time: 0.362314 data_time: 0.032604 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.889492 2023/08/08 15:44:51 - mmengine - INFO - Epoch(train) [93][280/529] lr: 5.000000e-04 eta: 6:11:40 time: 0.365368 data_time: 0.032832 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.911519 2023/08/08 15:44:55 - mmengine - INFO - Epoch(train) [93][290/529] lr: 5.000000e-04 eta: 6:11:36 time: 0.365414 data_time: 0.032802 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.914958 2023/08/08 15:44:58 - mmengine - INFO - Epoch(train) [93][300/529] lr: 5.000000e-04 eta: 6:11:32 time: 0.364473 data_time: 0.032787 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.880306 2023/08/08 15:45:02 - mmengine - INFO - Epoch(train) [93][310/529] lr: 5.000000e-04 eta: 6:11:29 time: 0.364627 data_time: 0.033529 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.904593 2023/08/08 15:45:06 - mmengine - INFO - Epoch(train) [93][320/529] lr: 5.000000e-04 eta: 6:11:26 time: 0.370400 data_time: 0.032935 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.817500 2023/08/08 15:45:10 - mmengine - INFO - Epoch(train) [93][330/529] lr: 5.000000e-04 eta: 6:11:22 time: 0.368085 data_time: 0.032630 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.881276 2023/08/08 15:45:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:45:13 - mmengine - INFO - Epoch(train) [93][340/529] lr: 5.000000e-04 eta: 6:11:19 time: 0.369194 data_time: 0.032914 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.862735 2023/08/08 15:45:17 - mmengine - INFO - Epoch(train) [93][350/529] lr: 5.000000e-04 eta: 6:11:15 time: 0.370468 data_time: 0.033003 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.857525 2023/08/08 15:45:21 - mmengine - INFO - Epoch(train) [93][360/529] lr: 5.000000e-04 eta: 6:11:12 time: 0.372330 data_time: 0.032310 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.843805 2023/08/08 15:45:25 - mmengine - INFO - Epoch(train) [93][370/529] lr: 5.000000e-04 eta: 6:11:08 time: 0.367408 data_time: 0.032344 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.846863 2023/08/08 15:45:28 - mmengine - INFO - Epoch(train) [93][380/529] lr: 5.000000e-04 eta: 6:11:05 time: 0.369245 data_time: 0.032705 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.900181 2023/08/08 15:45:32 - mmengine - INFO - Epoch(train) [93][390/529] lr: 5.000000e-04 eta: 6:11:02 time: 0.377865 data_time: 0.033101 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.831820 2023/08/08 15:45:36 - mmengine - INFO - Epoch(train) [93][400/529] lr: 5.000000e-04 eta: 6:10:59 time: 0.378879 data_time: 0.034075 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.863711 2023/08/08 15:45:40 - mmengine - INFO - Epoch(train) [93][410/529] lr: 5.000000e-04 eta: 6:10:55 time: 0.379323 data_time: 0.034256 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.915040 2023/08/08 15:45:44 - mmengine - INFO - Epoch(train) [93][420/529] lr: 5.000000e-04 eta: 6:10:52 time: 0.380585 data_time: 0.034697 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.834615 2023/08/08 15:45:48 - mmengine - INFO - Epoch(train) [93][430/529] lr: 5.000000e-04 eta: 6:10:49 time: 0.386978 data_time: 0.034714 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.883349 2023/08/08 15:45:51 - mmengine - INFO - Epoch(train) [93][440/529] lr: 5.000000e-04 eta: 6:10:45 time: 0.377894 data_time: 0.034246 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.797886 2023/08/08 15:45:55 - mmengine - INFO - Epoch(train) [93][450/529] lr: 5.000000e-04 eta: 6:10:42 time: 0.379356 data_time: 0.033575 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.839605 2023/08/08 15:45:59 - mmengine - INFO - Epoch(train) [93][460/529] lr: 5.000000e-04 eta: 6:10:38 time: 0.376565 data_time: 0.033891 memory: 4565 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.930701 2023/08/08 15:46:02 - mmengine - INFO - Epoch(train) [93][470/529] lr: 5.000000e-04 eta: 6:10:35 time: 0.373645 data_time: 0.034188 memory: 4565 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.833237 2023/08/08 15:46:06 - mmengine - INFO - Epoch(train) [93][480/529] lr: 5.000000e-04 eta: 6:10:31 time: 0.366803 data_time: 0.034456 memory: 4565 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.856692 2023/08/08 15:46:10 - mmengine - INFO - Epoch(train) [93][490/529] lr: 5.000000e-04 eta: 6:10:28 time: 0.366925 data_time: 0.034610 memory: 4565 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.874285 2023/08/08 15:46:13 - mmengine - INFO - Epoch(train) [93][500/529] lr: 5.000000e-04 eta: 6:10:24 time: 0.367698 data_time: 0.034821 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.859285 2023/08/08 15:46:17 - mmengine - INFO - Epoch(train) [93][510/529] lr: 5.000000e-04 eta: 6:10:21 time: 0.368752 data_time: 0.034477 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.923768 2023/08/08 15:46:21 - mmengine - INFO - Epoch(train) [93][520/529] lr: 5.000000e-04 eta: 6:10:18 time: 0.368115 data_time: 0.033825 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.850852 2023/08/08 15:46:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:46:28 - mmengine - INFO - Epoch(train) [94][ 10/529] lr: 5.000000e-04 eta: 6:10:11 time: 0.371992 data_time: 0.036559 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.925958 2023/08/08 15:46:32 - mmengine - INFO - Epoch(train) [94][ 20/529] lr: 5.000000e-04 eta: 6:10:08 time: 0.371963 data_time: 0.036325 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.871257 2023/08/08 15:46:35 - mmengine - INFO - Epoch(train) [94][ 30/529] lr: 5.000000e-04 eta: 6:10:04 time: 0.371401 data_time: 0.036384 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.897715 2023/08/08 15:46:39 - mmengine - INFO - Epoch(train) [94][ 40/529] lr: 5.000000e-04 eta: 6:10:01 time: 0.370687 data_time: 0.036053 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.918263 2023/08/08 15:46:43 - mmengine - INFO - Epoch(train) [94][ 50/529] lr: 5.000000e-04 eta: 6:09:58 time: 0.379169 data_time: 0.041275 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.903140 2023/08/08 15:46:47 - mmengine - INFO - Epoch(train) [94][ 60/529] lr: 5.000000e-04 eta: 6:09:54 time: 0.376105 data_time: 0.037092 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.886179 2023/08/08 15:46:50 - mmengine - INFO - Epoch(train) [94][ 70/529] lr: 5.000000e-04 eta: 6:09:51 time: 0.372410 data_time: 0.036570 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.897837 2023/08/08 15:46:54 - mmengine - INFO - Epoch(train) [94][ 80/529] lr: 5.000000e-04 eta: 6:09:47 time: 0.370717 data_time: 0.036292 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.901721 2023/08/08 15:46:57 - mmengine - INFO - Epoch(train) [94][ 90/529] lr: 5.000000e-04 eta: 6:09:43 time: 0.370454 data_time: 0.036329 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.902337 2023/08/08 15:47:01 - mmengine - INFO - Epoch(train) [94][100/529] lr: 5.000000e-04 eta: 6:09:40 time: 0.363948 data_time: 0.032360 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.901640 2023/08/08 15:47:05 - mmengine - INFO - Epoch(train) [94][110/529] lr: 5.000000e-04 eta: 6:09:36 time: 0.359898 data_time: 0.032346 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.880044 2023/08/08 15:47:08 - mmengine - INFO - Epoch(train) [94][120/529] lr: 5.000000e-04 eta: 6:09:33 time: 0.363118 data_time: 0.033203 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.802627 2023/08/08 15:47:12 - mmengine - INFO - Epoch(train) [94][130/529] lr: 5.000000e-04 eta: 6:09:29 time: 0.364908 data_time: 0.033219 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.799884 2023/08/08 15:47:16 - mmengine - INFO - Epoch(train) [94][140/529] lr: 5.000000e-04 eta: 6:09:26 time: 0.366276 data_time: 0.033467 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.907825 2023/08/08 15:47:19 - mmengine - INFO - Epoch(train) [94][150/529] lr: 5.000000e-04 eta: 6:09:22 time: 0.366739 data_time: 0.033177 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.887894 2023/08/08 15:47:23 - mmengine - INFO - Epoch(train) [94][160/529] lr: 5.000000e-04 eta: 6:09:19 time: 0.368904 data_time: 0.033613 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.907673 2023/08/08 15:47:27 - mmengine - INFO - Epoch(train) [94][170/529] lr: 5.000000e-04 eta: 6:09:16 time: 0.367228 data_time: 0.033462 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.866354 2023/08/08 15:47:31 - mmengine - INFO - Epoch(train) [94][180/529] lr: 5.000000e-04 eta: 6:09:12 time: 0.369063 data_time: 0.034160 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.864347 2023/08/08 15:47:34 - mmengine - INFO - Epoch(train) [94][190/529] lr: 5.000000e-04 eta: 6:09:09 time: 0.366935 data_time: 0.034550 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.892782 2023/08/08 15:47:38 - mmengine - INFO - Epoch(train) [94][200/529] lr: 5.000000e-04 eta: 6:09:05 time: 0.366313 data_time: 0.035159 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.895884 2023/08/08 15:47:41 - mmengine - INFO - Epoch(train) [94][210/529] lr: 5.000000e-04 eta: 6:09:01 time: 0.364493 data_time: 0.034199 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.888084 2023/08/08 15:47:45 - mmengine - INFO - Epoch(train) [94][220/529] lr: 5.000000e-04 eta: 6:08:58 time: 0.369026 data_time: 0.037873 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.917288 2023/08/08 15:47:49 - mmengine - INFO - Epoch(train) [94][230/529] lr: 5.000000e-04 eta: 6:08:55 time: 0.366795 data_time: 0.037260 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.913051 2023/08/08 15:47:53 - mmengine - INFO - Epoch(train) [94][240/529] lr: 5.000000e-04 eta: 6:08:51 time: 0.371339 data_time: 0.036966 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.819852 2023/08/08 15:47:56 - mmengine - INFO - Epoch(train) [94][250/529] lr: 5.000000e-04 eta: 6:08:48 time: 0.371276 data_time: 0.035887 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.930844 2023/08/08 15:48:00 - mmengine - INFO - Epoch(train) [94][260/529] lr: 5.000000e-04 eta: 6:08:44 time: 0.372525 data_time: 0.036553 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.873845 2023/08/08 15:48:04 - mmengine - INFO - Epoch(train) [94][270/529] lr: 5.000000e-04 eta: 6:08:41 time: 0.368686 data_time: 0.032237 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.878992 2023/08/08 15:48:07 - mmengine - INFO - Epoch(train) [94][280/529] lr: 5.000000e-04 eta: 6:08:37 time: 0.370577 data_time: 0.032704 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.866248 2023/08/08 15:48:11 - mmengine - INFO - Epoch(train) [94][290/529] lr: 5.000000e-04 eta: 6:08:34 time: 0.368747 data_time: 0.032520 memory: 4565 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.849873 2023/08/08 15:48:15 - mmengine - INFO - Epoch(train) [94][300/529] lr: 5.000000e-04 eta: 6:08:31 time: 0.371015 data_time: 0.033395 memory: 4565 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.880889 2023/08/08 15:48:19 - mmengine - INFO - Epoch(train) [94][310/529] lr: 5.000000e-04 eta: 6:08:27 time: 0.371188 data_time: 0.033783 memory: 4565 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.880444 2023/08/08 15:48:22 - mmengine - INFO - Epoch(train) [94][320/529] lr: 5.000000e-04 eta: 6:08:23 time: 0.368748 data_time: 0.033862 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.854421 2023/08/08 15:48:26 - mmengine - INFO - Epoch(train) [94][330/529] lr: 5.000000e-04 eta: 6:08:20 time: 0.365509 data_time: 0.033563 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.847537 2023/08/08 15:48:29 - mmengine - INFO - Epoch(train) [94][340/529] lr: 5.000000e-04 eta: 6:08:16 time: 0.365172 data_time: 0.033662 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.889914 2023/08/08 15:48:33 - mmengine - INFO - Epoch(train) [94][350/529] lr: 5.000000e-04 eta: 6:08:13 time: 0.370020 data_time: 0.033871 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.881616 2023/08/08 15:48:37 - mmengine - INFO - Epoch(train) [94][360/529] lr: 5.000000e-04 eta: 6:08:10 time: 0.376913 data_time: 0.033879 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.904512 2023/08/08 15:48:41 - mmengine - INFO - Epoch(train) [94][370/529] lr: 5.000000e-04 eta: 6:08:07 time: 0.380165 data_time: 0.034152 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.838822 2023/08/08 15:48:45 - mmengine - INFO - Epoch(train) [94][380/529] lr: 5.000000e-04 eta: 6:08:03 time: 0.379973 data_time: 0.034049 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.888838 2023/08/08 15:48:48 - mmengine - INFO - Epoch(train) [94][390/529] lr: 5.000000e-04 eta: 6:08:00 time: 0.377232 data_time: 0.034314 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.857553 2023/08/08 15:48:52 - mmengine - INFO - Epoch(train) [94][400/529] lr: 5.000000e-04 eta: 6:07:56 time: 0.376268 data_time: 0.037073 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.873442 2023/08/08 15:48:56 - mmengine - INFO - Epoch(train) [94][410/529] lr: 5.000000e-04 eta: 6:07:53 time: 0.368282 data_time: 0.036621 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.877344 2023/08/08 15:48:59 - mmengine - INFO - Epoch(train) [94][420/529] lr: 5.000000e-04 eta: 6:07:49 time: 0.367117 data_time: 0.037031 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.900933 2023/08/08 15:49:03 - mmengine - INFO - Epoch(train) [94][430/529] lr: 5.000000e-04 eta: 6:07:46 time: 0.366501 data_time: 0.036953 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.899404 2023/08/08 15:49:07 - mmengine - INFO - Epoch(train) [94][440/529] lr: 5.000000e-04 eta: 6:07:42 time: 0.365905 data_time: 0.036294 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.931573 2023/08/08 15:49:10 - mmengine - INFO - Epoch(train) [94][450/529] lr: 5.000000e-04 eta: 6:07:38 time: 0.357234 data_time: 0.032182 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.923524 2023/08/08 15:49:14 - mmengine - INFO - Epoch(train) [94][460/529] lr: 5.000000e-04 eta: 6:07:35 time: 0.355245 data_time: 0.031686 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.873431 2023/08/08 15:49:17 - mmengine - INFO - Epoch(train) [94][470/529] lr: 5.000000e-04 eta: 6:07:31 time: 0.352632 data_time: 0.030922 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.881504 2023/08/08 15:49:21 - mmengine - INFO - Epoch(train) [94][480/529] lr: 5.000000e-04 eta: 6:07:28 time: 0.356161 data_time: 0.031584 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.904465 2023/08/08 15:49:25 - mmengine - INFO - Epoch(train) [94][490/529] lr: 5.000000e-04 eta: 6:07:24 time: 0.361906 data_time: 0.032211 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.850079 2023/08/08 15:49:28 - mmengine - INFO - Epoch(train) [94][500/529] lr: 5.000000e-04 eta: 6:07:21 time: 0.365401 data_time: 0.032686 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.816722 2023/08/08 15:49:32 - mmengine - INFO - Epoch(train) [94][510/529] lr: 5.000000e-04 eta: 6:07:17 time: 0.367881 data_time: 0.032773 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.901657 2023/08/08 15:49:36 - mmengine - INFO - Epoch(train) [94][520/529] lr: 5.000000e-04 eta: 6:07:14 time: 0.369449 data_time: 0.033329 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.855912 2023/08/08 15:49:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:49:43 - mmengine - INFO - Epoch(train) [95][ 10/529] lr: 5.000000e-04 eta: 6:07:07 time: 0.366067 data_time: 0.035823 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.860428 2023/08/08 15:49:46 - mmengine - INFO - Epoch(train) [95][ 20/529] lr: 5.000000e-04 eta: 6:07:04 time: 0.366948 data_time: 0.036296 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.862643 2023/08/08 15:49:50 - mmengine - INFO - Epoch(train) [95][ 30/529] lr: 5.000000e-04 eta: 6:07:00 time: 0.368316 data_time: 0.036786 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.896052 2023/08/08 15:49:54 - mmengine - INFO - Epoch(train) [95][ 40/529] lr: 5.000000e-04 eta: 6:06:57 time: 0.370738 data_time: 0.040647 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.937542 2023/08/08 15:49:57 - mmengine - INFO - Epoch(train) [95][ 50/529] lr: 5.000000e-04 eta: 6:06:53 time: 0.370078 data_time: 0.040911 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.833005 2023/08/08 15:50:01 - mmengine - INFO - Epoch(train) [95][ 60/529] lr: 5.000000e-04 eta: 6:06:50 time: 0.370053 data_time: 0.036979 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.941658 2023/08/08 15:50:05 - mmengine - INFO - Epoch(train) [95][ 70/529] lr: 5.000000e-04 eta: 6:06:46 time: 0.368807 data_time: 0.037349 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.830789 2023/08/08 15:50:08 - mmengine - INFO - Epoch(train) [95][ 80/529] lr: 5.000000e-04 eta: 6:06:43 time: 0.367277 data_time: 0.037460 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.849754 2023/08/08 15:50:12 - mmengine - INFO - Epoch(train) [95][ 90/529] lr: 5.000000e-04 eta: 6:06:39 time: 0.363914 data_time: 0.033136 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.877774 2023/08/08 15:50:16 - mmengine - INFO - Epoch(train) [95][100/529] lr: 5.000000e-04 eta: 6:06:36 time: 0.367079 data_time: 0.033394 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.827935 2023/08/08 15:50:19 - mmengine - INFO - Epoch(train) [95][110/529] lr: 5.000000e-04 eta: 6:06:32 time: 0.362190 data_time: 0.033146 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.890824 2023/08/08 15:50:23 - mmengine - INFO - Epoch(train) [95][120/529] lr: 5.000000e-04 eta: 6:06:29 time: 0.361132 data_time: 0.032094 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.920036 2023/08/08 15:50:26 - mmengine - INFO - Epoch(train) [95][130/529] lr: 5.000000e-04 eta: 6:06:25 time: 0.360386 data_time: 0.032282 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.895329 2023/08/08 15:50:30 - mmengine - INFO - Epoch(train) [95][140/529] lr: 5.000000e-04 eta: 6:06:22 time: 0.366093 data_time: 0.032492 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.844395 2023/08/08 15:50:34 - mmengine - INFO - Epoch(train) [95][150/529] lr: 5.000000e-04 eta: 6:06:18 time: 0.366374 data_time: 0.032811 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.893476 2023/08/08 15:50:38 - mmengine - INFO - Epoch(train) [95][160/529] lr: 5.000000e-04 eta: 6:06:15 time: 0.366879 data_time: 0.033500 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.880494 2023/08/08 15:50:41 - mmengine - INFO - Epoch(train) [95][170/529] lr: 5.000000e-04 eta: 6:06:11 time: 0.367041 data_time: 0.034054 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.908280 2023/08/08 15:50:45 - mmengine - INFO - Epoch(train) [95][180/529] lr: 5.000000e-04 eta: 6:06:08 time: 0.372245 data_time: 0.037167 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.882083 2023/08/08 15:50:49 - mmengine - INFO - Epoch(train) [95][190/529] lr: 5.000000e-04 eta: 6:06:04 time: 0.367164 data_time: 0.037203 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.833255 2023/08/08 15:50:52 - mmengine - INFO - Epoch(train) [95][200/529] lr: 5.000000e-04 eta: 6:06:01 time: 0.366120 data_time: 0.037287 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.847729 2023/08/08 15:50:56 - mmengine - INFO - Epoch(train) [95][210/529] lr: 5.000000e-04 eta: 6:05:57 time: 0.365972 data_time: 0.036878 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.938323 2023/08/08 15:51:00 - mmengine - INFO - Epoch(train) [95][220/529] lr: 5.000000e-04 eta: 6:05:54 time: 0.366456 data_time: 0.036472 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.919588 2023/08/08 15:51:03 - mmengine - INFO - Epoch(train) [95][230/529] lr: 5.000000e-04 eta: 6:05:50 time: 0.367431 data_time: 0.032958 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.883765 2023/08/08 15:51:08 - mmengine - INFO - Epoch(train) [95][240/529] lr: 5.000000e-04 eta: 6:05:47 time: 0.376291 data_time: 0.036665 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.917523 2023/08/08 15:51:11 - mmengine - INFO - Epoch(train) [95][250/529] lr: 5.000000e-04 eta: 6:05:44 time: 0.378299 data_time: 0.036264 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.853398 2023/08/08 15:51:15 - mmengine - INFO - Epoch(train) [95][260/529] lr: 5.000000e-04 eta: 6:05:40 time: 0.378392 data_time: 0.035929 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.877193 2023/08/08 15:51:19 - mmengine - INFO - Epoch(train) [95][270/529] lr: 5.000000e-04 eta: 6:05:37 time: 0.382811 data_time: 0.036418 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.886889 2023/08/08 15:51:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:51:22 - mmengine - INFO - Epoch(train) [95][280/529] lr: 5.000000e-04 eta: 6:05:33 time: 0.374947 data_time: 0.036070 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.887040 2023/08/08 15:51:26 - mmengine - INFO - Epoch(train) [95][290/529] lr: 5.000000e-04 eta: 6:05:30 time: 0.364707 data_time: 0.032201 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.884643 2023/08/08 15:51:29 - mmengine - INFO - Epoch(train) [95][300/529] lr: 5.000000e-04 eta: 6:05:26 time: 0.360369 data_time: 0.031975 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.898117 2023/08/08 15:51:33 - mmengine - INFO - Epoch(train) [95][310/529] lr: 5.000000e-04 eta: 6:05:23 time: 0.362084 data_time: 0.032349 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.901891 2023/08/08 15:51:37 - mmengine - INFO - Epoch(train) [95][320/529] lr: 5.000000e-04 eta: 6:05:19 time: 0.357920 data_time: 0.031999 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.930928 2023/08/08 15:51:40 - mmengine - INFO - Epoch(train) [95][330/529] lr: 5.000000e-04 eta: 6:05:15 time: 0.359059 data_time: 0.031918 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.877018 2023/08/08 15:51:44 - mmengine - INFO - Epoch(train) [95][340/529] lr: 5.000000e-04 eta: 6:05:12 time: 0.358200 data_time: 0.031722 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.857269 2023/08/08 15:51:47 - mmengine - INFO - Epoch(train) [95][350/529] lr: 5.000000e-04 eta: 6:05:08 time: 0.363415 data_time: 0.031950 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.895209 2023/08/08 15:51:51 - mmengine - INFO - Epoch(train) [95][360/529] lr: 5.000000e-04 eta: 6:05:05 time: 0.368883 data_time: 0.031688 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.852044 2023/08/08 15:51:55 - mmengine - INFO - Epoch(train) [95][370/529] lr: 5.000000e-04 eta: 6:05:02 time: 0.375326 data_time: 0.032049 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.836691 2023/08/08 15:51:59 - mmengine - INFO - Epoch(train) [95][380/529] lr: 5.000000e-04 eta: 6:04:59 time: 0.383767 data_time: 0.033549 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.888850 2023/08/08 15:52:03 - mmengine - INFO - Epoch(train) [95][390/529] lr: 5.000000e-04 eta: 6:04:56 time: 0.392164 data_time: 0.034398 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.873322 2023/08/08 15:52:07 - mmengine - INFO - Epoch(train) [95][400/529] lr: 5.000000e-04 eta: 6:04:52 time: 0.388716 data_time: 0.034313 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.894484 2023/08/08 15:52:10 - mmengine - INFO - Epoch(train) [95][410/529] lr: 5.000000e-04 eta: 6:04:49 time: 0.380114 data_time: 0.034435 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.848015 2023/08/08 15:52:14 - mmengine - INFO - Epoch(train) [95][420/529] lr: 5.000000e-04 eta: 6:04:45 time: 0.372768 data_time: 0.034222 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.890061 2023/08/08 15:52:18 - mmengine - INFO - Epoch(train) [95][430/529] lr: 5.000000e-04 eta: 6:04:42 time: 0.369298 data_time: 0.033517 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.890500 2023/08/08 15:52:22 - mmengine - INFO - Epoch(train) [95][440/529] lr: 5.000000e-04 eta: 6:04:38 time: 0.366845 data_time: 0.037177 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.907191 2023/08/08 15:52:25 - mmengine - INFO - Epoch(train) [95][450/529] lr: 5.000000e-04 eta: 6:04:35 time: 0.368152 data_time: 0.037905 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.875132 2023/08/08 15:52:29 - mmengine - INFO - Epoch(train) [95][460/529] lr: 5.000000e-04 eta: 6:04:31 time: 0.371648 data_time: 0.038679 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.914196 2023/08/08 15:52:33 - mmengine - INFO - Epoch(train) [95][470/529] lr: 5.000000e-04 eta: 6:04:28 time: 0.375650 data_time: 0.038997 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.923425 2023/08/08 15:52:36 - mmengine - INFO - Epoch(train) [95][480/529] lr: 5.000000e-04 eta: 6:04:25 time: 0.372267 data_time: 0.038471 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.886407 2023/08/08 15:52:40 - mmengine - INFO - Epoch(train) [95][490/529] lr: 5.000000e-04 eta: 6:04:21 time: 0.373751 data_time: 0.034385 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.832141 2023/08/08 15:52:44 - mmengine - INFO - Epoch(train) [95][500/529] lr: 5.000000e-04 eta: 6:04:18 time: 0.377521 data_time: 0.033714 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.927987 2023/08/08 15:52:48 - mmengine - INFO - Epoch(train) [95][510/529] lr: 5.000000e-04 eta: 6:04:14 time: 0.376787 data_time: 0.032985 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.817720 2023/08/08 15:52:52 - mmengine - INFO - Epoch(train) [95][520/529] lr: 5.000000e-04 eta: 6:04:11 time: 0.374550 data_time: 0.032377 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.806404 2023/08/08 15:52:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:52:58 - mmengine - INFO - Epoch(train) [96][ 10/529] lr: 5.000000e-04 eta: 6:04:04 time: 0.368170 data_time: 0.035078 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.886830 2023/08/08 15:53:02 - mmengine - INFO - Epoch(train) [96][ 20/529] lr: 5.000000e-04 eta: 6:04:01 time: 0.362672 data_time: 0.035006 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.866985 2023/08/08 15:53:06 - mmengine - INFO - Epoch(train) [96][ 30/529] lr: 5.000000e-04 eta: 6:03:57 time: 0.362196 data_time: 0.035099 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.821057 2023/08/08 15:53:09 - mmengine - INFO - Epoch(train) [96][ 40/529] lr: 5.000000e-04 eta: 6:03:53 time: 0.359767 data_time: 0.034909 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.831496 2023/08/08 15:53:13 - mmengine - INFO - Epoch(train) [96][ 50/529] lr: 5.000000e-04 eta: 6:03:50 time: 0.364241 data_time: 0.036367 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.852029 2023/08/08 15:53:16 - mmengine - INFO - Epoch(train) [96][ 60/529] lr: 5.000000e-04 eta: 6:03:46 time: 0.361473 data_time: 0.033161 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.920376 2023/08/08 15:53:20 - mmengine - INFO - Epoch(train) [96][ 70/529] lr: 5.000000e-04 eta: 6:03:43 time: 0.364005 data_time: 0.033879 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.834584 2023/08/08 15:53:24 - mmengine - INFO - Epoch(train) [96][ 80/529] lr: 5.000000e-04 eta: 6:03:40 time: 0.368386 data_time: 0.033556 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.881335 2023/08/08 15:53:28 - mmengine - INFO - Epoch(train) [96][ 90/529] lr: 5.000000e-04 eta: 6:03:36 time: 0.375052 data_time: 0.033966 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.889770 2023/08/08 15:53:32 - mmengine - INFO - Epoch(train) [96][100/529] lr: 5.000000e-04 eta: 6:03:33 time: 0.375454 data_time: 0.033761 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.927240 2023/08/08 15:53:35 - mmengine - INFO - Epoch(train) [96][110/529] lr: 5.000000e-04 eta: 6:03:30 time: 0.379749 data_time: 0.033567 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.858381 2023/08/08 15:53:39 - mmengine - INFO - Epoch(train) [96][120/529] lr: 5.000000e-04 eta: 6:03:26 time: 0.379841 data_time: 0.033443 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.908388 2023/08/08 15:53:43 - mmengine - INFO - Epoch(train) [96][130/529] lr: 5.000000e-04 eta: 6:03:23 time: 0.375632 data_time: 0.034048 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.825213 2023/08/08 15:53:46 - mmengine - INFO - Epoch(train) [96][140/529] lr: 5.000000e-04 eta: 6:03:19 time: 0.368537 data_time: 0.033789 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.913871 2023/08/08 15:53:50 - mmengine - INFO - Epoch(train) [96][150/529] lr: 5.000000e-04 eta: 6:03:16 time: 0.368865 data_time: 0.034191 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.892512 2023/08/08 15:53:54 - mmengine - INFO - Epoch(train) [96][160/529] lr: 5.000000e-04 eta: 6:03:12 time: 0.363023 data_time: 0.033407 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.828782 2023/08/08 15:53:57 - mmengine - INFO - Epoch(train) [96][170/529] lr: 5.000000e-04 eta: 6:03:08 time: 0.361539 data_time: 0.032939 memory: 4565 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.909516 2023/08/08 15:54:01 - mmengine - INFO - Epoch(train) [96][180/529] lr: 5.000000e-04 eta: 6:03:05 time: 0.361258 data_time: 0.032893 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.935245 2023/08/08 15:54:05 - mmengine - INFO - Epoch(train) [96][190/529] lr: 5.000000e-04 eta: 6:03:01 time: 0.363104 data_time: 0.033095 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.868620 2023/08/08 15:54:08 - mmengine - INFO - Epoch(train) [96][200/529] lr: 5.000000e-04 eta: 6:02:58 time: 0.359999 data_time: 0.032398 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.913692 2023/08/08 15:54:12 - mmengine - INFO - Epoch(train) [96][210/529] lr: 5.000000e-04 eta: 6:02:54 time: 0.360539 data_time: 0.032596 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.895275 2023/08/08 15:54:15 - mmengine - INFO - Epoch(train) [96][220/529] lr: 5.000000e-04 eta: 6:02:51 time: 0.359818 data_time: 0.033081 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.940509 2023/08/08 15:54:19 - mmengine - INFO - Epoch(train) [96][230/529] lr: 5.000000e-04 eta: 6:02:47 time: 0.360954 data_time: 0.032738 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.869619 2023/08/08 15:54:23 - mmengine - INFO - Epoch(train) [96][240/529] lr: 5.000000e-04 eta: 6:02:44 time: 0.363939 data_time: 0.032619 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.901072 2023/08/08 15:54:26 - mmengine - INFO - Epoch(train) [96][250/529] lr: 5.000000e-04 eta: 6:02:40 time: 0.364496 data_time: 0.032555 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.804658 2023/08/08 15:54:30 - mmengine - INFO - Epoch(train) [96][260/529] lr: 5.000000e-04 eta: 6:02:37 time: 0.366499 data_time: 0.032296 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.877041 2023/08/08 15:54:34 - mmengine - INFO - Epoch(train) [96][270/529] lr: 5.000000e-04 eta: 6:02:33 time: 0.369116 data_time: 0.032101 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.873767 2023/08/08 15:54:38 - mmengine - INFO - Epoch(train) [96][280/529] lr: 5.000000e-04 eta: 6:02:30 time: 0.372130 data_time: 0.032330 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.931240 2023/08/08 15:54:41 - mmengine - INFO - Epoch(train) [96][290/529] lr: 5.000000e-04 eta: 6:02:26 time: 0.367660 data_time: 0.032502 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.901062 2023/08/08 15:54:45 - mmengine - INFO - Epoch(train) [96][300/529] lr: 5.000000e-04 eta: 6:02:23 time: 0.370701 data_time: 0.032667 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.881408 2023/08/08 15:54:49 - mmengine - INFO - Epoch(train) [96][310/529] lr: 5.000000e-04 eta: 6:02:19 time: 0.370573 data_time: 0.032638 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.830683 2023/08/08 15:54:52 - mmengine - INFO - Epoch(train) [96][320/529] lr: 5.000000e-04 eta: 6:02:16 time: 0.367098 data_time: 0.032412 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.820473 2023/08/08 15:54:56 - mmengine - INFO - Epoch(train) [96][330/529] lr: 5.000000e-04 eta: 6:02:12 time: 0.362609 data_time: 0.032158 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.906691 2023/08/08 15:54:59 - mmengine - INFO - Epoch(train) [96][340/529] lr: 5.000000e-04 eta: 6:02:09 time: 0.366612 data_time: 0.032264 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.912005 2023/08/08 15:55:03 - mmengine - INFO - Epoch(train) [96][350/529] lr: 5.000000e-04 eta: 6:02:05 time: 0.366819 data_time: 0.032401 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.846753 2023/08/08 15:55:07 - mmengine - INFO - Epoch(train) [96][360/529] lr: 5.000000e-04 eta: 6:02:02 time: 0.374869 data_time: 0.032786 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.931267 2023/08/08 15:55:11 - mmengine - INFO - Epoch(train) [96][370/529] lr: 5.000000e-04 eta: 6:01:59 time: 0.383267 data_time: 0.032729 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.900083 2023/08/08 15:55:15 - mmengine - INFO - Epoch(train) [96][380/529] lr: 5.000000e-04 eta: 6:01:56 time: 0.394992 data_time: 0.032567 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.886496 2023/08/08 15:55:19 - mmengine - INFO - Epoch(train) [96][390/529] lr: 5.000000e-04 eta: 6:01:53 time: 0.393372 data_time: 0.032284 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.881612 2023/08/08 15:55:23 - mmengine - INFO - Epoch(train) [96][400/529] lr: 5.000000e-04 eta: 6:01:49 time: 0.392446 data_time: 0.032249 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.906302 2023/08/08 15:55:26 - mmengine - INFO - Epoch(train) [96][410/529] lr: 5.000000e-04 eta: 6:01:46 time: 0.383634 data_time: 0.032019 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.850983 2023/08/08 15:55:30 - mmengine - INFO - Epoch(train) [96][420/529] lr: 5.000000e-04 eta: 6:01:42 time: 0.377281 data_time: 0.032402 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.866314 2023/08/08 15:55:34 - mmengine - INFO - Epoch(train) [96][430/529] lr: 5.000000e-04 eta: 6:01:39 time: 0.368374 data_time: 0.032435 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.871877 2023/08/08 15:55:37 - mmengine - INFO - Epoch(train) [96][440/529] lr: 5.000000e-04 eta: 6:01:35 time: 0.366245 data_time: 0.032479 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.933171 2023/08/08 15:55:41 - mmengine - INFO - Epoch(train) [96][450/529] lr: 5.000000e-04 eta: 6:01:32 time: 0.363169 data_time: 0.032364 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.861446 2023/08/08 15:55:45 - mmengine - INFO - Epoch(train) [96][460/529] lr: 5.000000e-04 eta: 6:01:28 time: 0.365160 data_time: 0.032649 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.868946 2023/08/08 15:55:48 - mmengine - INFO - Epoch(train) [96][470/529] lr: 5.000000e-04 eta: 6:01:25 time: 0.363416 data_time: 0.032298 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.919945 2023/08/08 15:55:52 - mmengine - INFO - Epoch(train) [96][480/529] lr: 5.000000e-04 eta: 6:01:21 time: 0.362103 data_time: 0.032851 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.870575 2023/08/08 15:55:56 - mmengine - INFO - Epoch(train) [96][490/529] lr: 5.000000e-04 eta: 6:01:18 time: 0.364285 data_time: 0.033687 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.904698 2023/08/08 15:55:59 - mmengine - INFO - Epoch(train) [96][500/529] lr: 5.000000e-04 eta: 6:01:14 time: 0.365888 data_time: 0.034335 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.873798 2023/08/08 15:56:03 - mmengine - INFO - Epoch(train) [96][510/529] lr: 5.000000e-04 eta: 6:01:10 time: 0.362932 data_time: 0.033930 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.894878 2023/08/08 15:56:07 - mmengine - INFO - Epoch(train) [96][520/529] lr: 5.000000e-04 eta: 6:01:07 time: 0.364246 data_time: 0.033851 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.894244 2023/08/08 15:56:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:56:14 - mmengine - INFO - Epoch(train) [97][ 10/529] lr: 5.000000e-04 eta: 6:01:01 time: 0.368394 data_time: 0.037381 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.847686 2023/08/08 15:56:17 - mmengine - INFO - Epoch(train) [97][ 20/529] lr: 5.000000e-04 eta: 6:00:57 time: 0.366299 data_time: 0.036869 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.892614 2023/08/08 15:56:21 - mmengine - INFO - Epoch(train) [97][ 30/529] lr: 5.000000e-04 eta: 6:00:53 time: 0.363613 data_time: 0.036753 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.872492 2023/08/08 15:56:24 - mmengine - INFO - Epoch(train) [97][ 40/529] lr: 5.000000e-04 eta: 6:00:49 time: 0.359611 data_time: 0.036632 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.882771 2023/08/08 15:56:28 - mmengine - INFO - Epoch(train) [97][ 50/529] lr: 5.000000e-04 eta: 6:00:46 time: 0.360616 data_time: 0.036643 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.913636 2023/08/08 15:56:31 - mmengine - INFO - Epoch(train) [97][ 60/529] lr: 5.000000e-04 eta: 6:00:42 time: 0.352598 data_time: 0.031686 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.916011 2023/08/08 15:56:35 - mmengine - INFO - Epoch(train) [97][ 70/529] lr: 5.000000e-04 eta: 6:00:38 time: 0.352276 data_time: 0.031281 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.870841 2023/08/08 15:56:39 - mmengine - INFO - Epoch(train) [97][ 80/529] lr: 5.000000e-04 eta: 6:00:35 time: 0.355339 data_time: 0.031718 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.841828 2023/08/08 15:56:42 - mmengine - INFO - Epoch(train) [97][ 90/529] lr: 5.000000e-04 eta: 6:00:31 time: 0.357323 data_time: 0.032021 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.865752 2023/08/08 15:56:46 - mmengine - INFO - Epoch(train) [97][100/529] lr: 5.000000e-04 eta: 6:00:28 time: 0.355773 data_time: 0.032251 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.858937 2023/08/08 15:56:49 - mmengine - INFO - Epoch(train) [97][110/529] lr: 5.000000e-04 eta: 6:00:24 time: 0.355142 data_time: 0.032381 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.872715 2023/08/08 15:56:53 - mmengine - INFO - Epoch(train) [97][120/529] lr: 5.000000e-04 eta: 6:00:20 time: 0.354833 data_time: 0.032608 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.878864 2023/08/08 15:56:56 - mmengine - INFO - Epoch(train) [97][130/529] lr: 5.000000e-04 eta: 6:00:17 time: 0.353095 data_time: 0.032808 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.940642 2023/08/08 15:57:00 - mmengine - INFO - Epoch(train) [97][140/529] lr: 5.000000e-04 eta: 6:00:13 time: 0.352209 data_time: 0.032996 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.869515 2023/08/08 15:57:03 - mmengine - INFO - Epoch(train) [97][150/529] lr: 5.000000e-04 eta: 6:00:09 time: 0.351853 data_time: 0.032824 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.929344 2023/08/08 15:57:07 - mmengine - INFO - Epoch(train) [97][160/529] lr: 5.000000e-04 eta: 6:00:06 time: 0.351386 data_time: 0.032724 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.895931 2023/08/08 15:57:10 - mmengine - INFO - Epoch(train) [97][170/529] lr: 5.000000e-04 eta: 6:00:02 time: 0.351682 data_time: 0.033863 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.918334 2023/08/08 15:57:14 - mmengine - INFO - Epoch(train) [97][180/529] lr: 5.000000e-04 eta: 5:59:58 time: 0.356625 data_time: 0.033713 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.880877 2023/08/08 15:57:18 - mmengine - INFO - Epoch(train) [97][190/529] lr: 5.000000e-04 eta: 5:59:55 time: 0.361752 data_time: 0.033994 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.882638 2023/08/08 15:57:22 - mmengine - INFO - Epoch(train) [97][200/529] lr: 5.000000e-04 eta: 5:59:52 time: 0.368289 data_time: 0.037663 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.897055 2023/08/08 15:57:25 - mmengine - INFO - Epoch(train) [97][210/529] lr: 5.000000e-04 eta: 5:59:48 time: 0.369174 data_time: 0.037569 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.937912 2023/08/08 15:57:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:57:29 - mmengine - INFO - Epoch(train) [97][220/529] lr: 5.000000e-04 eta: 5:59:44 time: 0.367682 data_time: 0.036266 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.888747 2023/08/08 15:57:32 - mmengine - INFO - Epoch(train) [97][230/529] lr: 5.000000e-04 eta: 5:59:41 time: 0.366636 data_time: 0.036225 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.891520 2023/08/08 15:57:36 - mmengine - INFO - Epoch(train) [97][240/529] lr: 5.000000e-04 eta: 5:59:37 time: 0.365552 data_time: 0.035903 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.873402 2023/08/08 15:57:40 - mmengine - INFO - Epoch(train) [97][250/529] lr: 5.000000e-04 eta: 5:59:34 time: 0.362387 data_time: 0.032710 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.894034 2023/08/08 15:57:43 - mmengine - INFO - Epoch(train) [97][260/529] lr: 5.000000e-04 eta: 5:59:30 time: 0.361147 data_time: 0.032502 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.859173 2023/08/08 15:57:47 - mmengine - INFO - Epoch(train) [97][270/529] lr: 5.000000e-04 eta: 5:59:27 time: 0.362043 data_time: 0.032776 memory: 4565 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.852295 2023/08/08 15:57:50 - mmengine - INFO - Epoch(train) [97][280/529] lr: 5.000000e-04 eta: 5:59:23 time: 0.357964 data_time: 0.032925 memory: 4565 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.911532 2023/08/08 15:57:54 - mmengine - INFO - Epoch(train) [97][290/529] lr: 5.000000e-04 eta: 5:59:19 time: 0.353284 data_time: 0.032611 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.872453 2023/08/08 15:57:57 - mmengine - INFO - Epoch(train) [97][300/529] lr: 5.000000e-04 eta: 5:59:15 time: 0.348902 data_time: 0.032172 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.841499 2023/08/08 15:58:01 - mmengine - INFO - Epoch(train) [97][310/529] lr: 5.000000e-04 eta: 5:59:12 time: 0.348729 data_time: 0.032426 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.835354 2023/08/08 15:58:04 - mmengine - INFO - Epoch(train) [97][320/529] lr: 5.000000e-04 eta: 5:59:08 time: 0.348430 data_time: 0.032153 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.873943 2023/08/08 15:58:08 - mmengine - INFO - Epoch(train) [97][330/529] lr: 5.000000e-04 eta: 5:59:04 time: 0.350544 data_time: 0.031803 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.893900 2023/08/08 15:58:12 - mmengine - INFO - Epoch(train) [97][340/529] lr: 5.000000e-04 eta: 5:59:01 time: 0.356418 data_time: 0.032044 memory: 4565 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.869173 2023/08/08 15:58:15 - mmengine - INFO - Epoch(train) [97][350/529] lr: 5.000000e-04 eta: 5:58:57 time: 0.356485 data_time: 0.031874 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.909796 2023/08/08 15:58:18 - mmengine - INFO - Epoch(train) [97][360/529] lr: 5.000000e-04 eta: 5:58:54 time: 0.354908 data_time: 0.031512 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.895302 2023/08/08 15:58:22 - mmengine - INFO - Epoch(train) [97][370/529] lr: 5.000000e-04 eta: 5:58:50 time: 0.358153 data_time: 0.031445 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.885374 2023/08/08 15:58:26 - mmengine - INFO - Epoch(train) [97][380/529] lr: 5.000000e-04 eta: 5:58:46 time: 0.357875 data_time: 0.032312 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.818626 2023/08/08 15:58:30 - mmengine - INFO - Epoch(train) [97][390/529] lr: 5.000000e-04 eta: 5:58:43 time: 0.360930 data_time: 0.032659 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.947594 2023/08/08 15:58:33 - mmengine - INFO - Epoch(train) [97][400/529] lr: 5.000000e-04 eta: 5:58:40 time: 0.363028 data_time: 0.033256 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.882180 2023/08/08 15:58:37 - mmengine - INFO - Epoch(train) [97][410/529] lr: 5.000000e-04 eta: 5:58:36 time: 0.369178 data_time: 0.033482 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.881994 2023/08/08 15:58:41 - mmengine - INFO - Epoch(train) [97][420/529] lr: 5.000000e-04 eta: 5:58:33 time: 0.368929 data_time: 0.033512 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.817584 2023/08/08 15:58:44 - mmengine - INFO - Epoch(train) [97][430/529] lr: 5.000000e-04 eta: 5:58:29 time: 0.371605 data_time: 0.032406 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.844444 2023/08/08 15:58:48 - mmengine - INFO - Epoch(train) [97][440/529] lr: 5.000000e-04 eta: 5:58:25 time: 0.362690 data_time: 0.031725 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.906072 2023/08/08 15:58:51 - mmengine - INFO - Epoch(train) [97][450/529] lr: 5.000000e-04 eta: 5:58:22 time: 0.360324 data_time: 0.031203 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.857245 2023/08/08 15:58:55 - mmengine - INFO - Epoch(train) [97][460/529] lr: 5.000000e-04 eta: 5:58:18 time: 0.358631 data_time: 0.032150 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.900079 2023/08/08 15:58:59 - mmengine - INFO - Epoch(train) [97][470/529] lr: 5.000000e-04 eta: 5:58:15 time: 0.358471 data_time: 0.032595 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.906698 2023/08/08 15:59:02 - mmengine - INFO - Epoch(train) [97][480/529] lr: 5.000000e-04 eta: 5:58:11 time: 0.352526 data_time: 0.032507 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.870363 2023/08/08 15:59:06 - mmengine - INFO - Epoch(train) [97][490/529] lr: 5.000000e-04 eta: 5:58:07 time: 0.355545 data_time: 0.035833 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.937929 2023/08/08 15:59:09 - mmengine - INFO - Epoch(train) [97][500/529] lr: 5.000000e-04 eta: 5:58:04 time: 0.360566 data_time: 0.036081 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.864897 2023/08/08 15:59:13 - mmengine - INFO - Epoch(train) [97][510/529] lr: 5.000000e-04 eta: 5:58:00 time: 0.360966 data_time: 0.035262 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.861949 2023/08/08 15:59:16 - mmengine - INFO - Epoch(train) [97][520/529] lr: 5.000000e-04 eta: 5:57:57 time: 0.359509 data_time: 0.035023 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.938841 2023/08/08 15:59:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 15:59:23 - mmengine - INFO - Epoch(train) [98][ 10/529] lr: 5.000000e-04 eta: 5:57:50 time: 0.363451 data_time: 0.035607 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.893612 2023/08/08 15:59:27 - mmengine - INFO - Epoch(train) [98][ 20/529] lr: 5.000000e-04 eta: 5:57:46 time: 0.361522 data_time: 0.036002 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.966809 2023/08/08 15:59:31 - mmengine - INFO - Epoch(train) [98][ 30/529] lr: 5.000000e-04 eta: 5:57:43 time: 0.361002 data_time: 0.036093 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.935099 2023/08/08 15:59:34 - mmengine - INFO - Epoch(train) [98][ 40/529] lr: 5.000000e-04 eta: 5:57:39 time: 0.362860 data_time: 0.036759 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.892510 2023/08/08 15:59:38 - mmengine - INFO - Epoch(train) [98][ 50/529] lr: 5.000000e-04 eta: 5:57:36 time: 0.367173 data_time: 0.037974 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.881680 2023/08/08 15:59:42 - mmengine - INFO - Epoch(train) [98][ 60/529] lr: 5.000000e-04 eta: 5:57:32 time: 0.361752 data_time: 0.033591 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.908375 2023/08/08 15:59:45 - mmengine - INFO - Epoch(train) [98][ 70/529] lr: 5.000000e-04 eta: 5:57:28 time: 0.360781 data_time: 0.033233 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.795300 2023/08/08 15:59:49 - mmengine - INFO - Epoch(train) [98][ 80/529] lr: 5.000000e-04 eta: 5:57:25 time: 0.358599 data_time: 0.033297 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.876594 2023/08/08 15:59:53 - mmengine - INFO - Epoch(train) [98][ 90/529] lr: 5.000000e-04 eta: 5:57:22 time: 0.366631 data_time: 0.032806 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.887003 2023/08/08 15:59:57 - mmengine - INFO - Epoch(train) [98][100/529] lr: 5.000000e-04 eta: 5:57:18 time: 0.371759 data_time: 0.032614 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.928780 2023/08/08 16:00:00 - mmengine - INFO - Epoch(train) [98][110/529] lr: 5.000000e-04 eta: 5:57:15 time: 0.371978 data_time: 0.032512 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.865556 2023/08/08 16:00:04 - mmengine - INFO - Epoch(train) [98][120/529] lr: 5.000000e-04 eta: 5:57:11 time: 0.374397 data_time: 0.032936 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.889713 2023/08/08 16:00:07 - mmengine - INFO - Epoch(train) [98][130/529] lr: 5.000000e-04 eta: 5:57:08 time: 0.374918 data_time: 0.032860 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.898726 2023/08/08 16:00:11 - mmengine - INFO - Epoch(train) [98][140/529] lr: 5.000000e-04 eta: 5:57:04 time: 0.364669 data_time: 0.032636 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.854705 2023/08/08 16:00:14 - mmengine - INFO - Epoch(train) [98][150/529] lr: 5.000000e-04 eta: 5:57:00 time: 0.357648 data_time: 0.032370 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.855151 2023/08/08 16:00:18 - mmengine - INFO - Epoch(train) [98][160/529] lr: 5.000000e-04 eta: 5:56:57 time: 0.362919 data_time: 0.036130 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.893312 2023/08/08 16:00:22 - mmengine - INFO - Epoch(train) [98][170/529] lr: 5.000000e-04 eta: 5:56:54 time: 0.361544 data_time: 0.035748 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.849151 2023/08/08 16:00:26 - mmengine - INFO - Epoch(train) [98][180/529] lr: 5.000000e-04 eta: 5:56:50 time: 0.363954 data_time: 0.036722 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.926674 2023/08/08 16:00:29 - mmengine - INFO - Epoch(train) [98][190/529] lr: 5.000000e-04 eta: 5:56:46 time: 0.363781 data_time: 0.036831 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.840185 2023/08/08 16:00:33 - mmengine - INFO - Epoch(train) [98][200/529] lr: 5.000000e-04 eta: 5:56:43 time: 0.368193 data_time: 0.037034 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.910655 2023/08/08 16:00:37 - mmengine - INFO - Epoch(train) [98][210/529] lr: 5.000000e-04 eta: 5:56:40 time: 0.368737 data_time: 0.033793 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.845939 2023/08/08 16:00:41 - mmengine - INFO - Epoch(train) [98][220/529] lr: 5.000000e-04 eta: 5:56:37 time: 0.375859 data_time: 0.034017 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.859370 2023/08/08 16:00:44 - mmengine - INFO - Epoch(train) [98][230/529] lr: 5.000000e-04 eta: 5:56:33 time: 0.374372 data_time: 0.033491 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.869891 2023/08/08 16:00:48 - mmengine - INFO - Epoch(train) [98][240/529] lr: 5.000000e-04 eta: 5:56:30 time: 0.377919 data_time: 0.034395 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.839363 2023/08/08 16:00:52 - mmengine - INFO - Epoch(train) [98][250/529] lr: 5.000000e-04 eta: 5:56:26 time: 0.376484 data_time: 0.035330 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.936244 2023/08/08 16:00:55 - mmengine - INFO - Epoch(train) [98][260/529] lr: 5.000000e-04 eta: 5:56:23 time: 0.372271 data_time: 0.034887 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.883276 2023/08/08 16:00:59 - mmengine - INFO - Epoch(train) [98][270/529] lr: 5.000000e-04 eta: 5:56:19 time: 0.363873 data_time: 0.034320 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.822881 2023/08/08 16:01:03 - mmengine - INFO - Epoch(train) [98][280/529] lr: 5.000000e-04 eta: 5:56:15 time: 0.363754 data_time: 0.034309 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.941683 2023/08/08 16:01:06 - mmengine - INFO - Epoch(train) [98][290/529] lr: 5.000000e-04 eta: 5:56:12 time: 0.367002 data_time: 0.033241 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.861454 2023/08/08 16:01:10 - mmengine - INFO - Epoch(train) [98][300/529] lr: 5.000000e-04 eta: 5:56:08 time: 0.365617 data_time: 0.032438 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.906149 2023/08/08 16:01:14 - mmengine - INFO - Epoch(train) [98][310/529] lr: 5.000000e-04 eta: 5:56:05 time: 0.364558 data_time: 0.032965 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.868446 2023/08/08 16:01:17 - mmengine - INFO - Epoch(train) [98][320/529] lr: 5.000000e-04 eta: 5:56:01 time: 0.363822 data_time: 0.032964 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.839736 2023/08/08 16:01:21 - mmengine - INFO - Epoch(train) [98][330/529] lr: 5.000000e-04 eta: 5:55:58 time: 0.363457 data_time: 0.032493 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.904151 2023/08/08 16:01:24 - mmengine - INFO - Epoch(train) [98][340/529] lr: 5.000000e-04 eta: 5:55:54 time: 0.356266 data_time: 0.032393 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.892248 2023/08/08 16:01:28 - mmengine - INFO - Epoch(train) [98][350/529] lr: 5.000000e-04 eta: 5:55:50 time: 0.357064 data_time: 0.032558 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.847465 2023/08/08 16:01:31 - mmengine - INFO - Epoch(train) [98][360/529] lr: 5.000000e-04 eta: 5:55:47 time: 0.355674 data_time: 0.031958 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.878267 2023/08/08 16:01:35 - mmengine - INFO - Epoch(train) [98][370/529] lr: 5.000000e-04 eta: 5:55:43 time: 0.363923 data_time: 0.036654 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.860909 2023/08/08 16:01:39 - mmengine - INFO - Epoch(train) [98][380/529] lr: 5.000000e-04 eta: 5:55:40 time: 0.363455 data_time: 0.036421 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.884099 2023/08/08 16:01:42 - mmengine - INFO - Epoch(train) [98][390/529] lr: 5.000000e-04 eta: 5:55:36 time: 0.364194 data_time: 0.036444 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.868658 2023/08/08 16:01:46 - mmengine - INFO - Epoch(train) [98][400/529] lr: 5.000000e-04 eta: 5:55:33 time: 0.361953 data_time: 0.035957 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.851743 2023/08/08 16:01:50 - mmengine - INFO - Epoch(train) [98][410/529] lr: 5.000000e-04 eta: 5:55:29 time: 0.365712 data_time: 0.036089 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.837313 2023/08/08 16:01:53 - mmengine - INFO - Epoch(train) [98][420/529] lr: 5.000000e-04 eta: 5:55:26 time: 0.360185 data_time: 0.031667 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.836093 2023/08/08 16:01:57 - mmengine - INFO - Epoch(train) [98][430/529] lr: 5.000000e-04 eta: 5:55:22 time: 0.365666 data_time: 0.032160 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.856905 2023/08/08 16:02:01 - mmengine - INFO - Epoch(train) [98][440/529] lr: 5.000000e-04 eta: 5:55:19 time: 0.365836 data_time: 0.033084 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.885128 2023/08/08 16:02:04 - mmengine - INFO - Epoch(train) [98][450/529] lr: 5.000000e-04 eta: 5:55:15 time: 0.365981 data_time: 0.034047 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.900433 2023/08/08 16:02:08 - mmengine - INFO - Epoch(train) [98][460/529] lr: 5.000000e-04 eta: 5:55:11 time: 0.363054 data_time: 0.033994 memory: 4565 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.886530 2023/08/08 16:02:12 - mmengine - INFO - Epoch(train) [98][470/529] lr: 5.000000e-04 eta: 5:55:08 time: 0.363087 data_time: 0.033834 memory: 4565 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.905729 2023/08/08 16:02:15 - mmengine - INFO - Epoch(train) [98][480/529] lr: 5.000000e-04 eta: 5:55:04 time: 0.359990 data_time: 0.033640 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.882187 2023/08/08 16:02:19 - mmengine - INFO - Epoch(train) [98][490/529] lr: 5.000000e-04 eta: 5:55:01 time: 0.361830 data_time: 0.033200 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.924143 2023/08/08 16:02:23 - mmengine - INFO - Epoch(train) [98][500/529] lr: 5.000000e-04 eta: 5:54:57 time: 0.364721 data_time: 0.032542 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.873098 2023/08/08 16:02:26 - mmengine - INFO - Epoch(train) [98][510/529] lr: 5.000000e-04 eta: 5:54:54 time: 0.364206 data_time: 0.032580 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.887865 2023/08/08 16:02:30 - mmengine - INFO - Epoch(train) [98][520/529] lr: 5.000000e-04 eta: 5:54:50 time: 0.362225 data_time: 0.032603 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.899179 2023/08/08 16:02:33 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:02:36 - mmengine - INFO - Epoch(train) [99][ 10/529] lr: 5.000000e-04 eta: 5:54:43 time: 0.360010 data_time: 0.036734 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.902810 2023/08/08 16:02:40 - mmengine - INFO - Epoch(train) [99][ 20/529] lr: 5.000000e-04 eta: 5:54:40 time: 0.359634 data_time: 0.037519 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.872784 2023/08/08 16:02:44 - mmengine - INFO - Epoch(train) [99][ 30/529] lr: 5.000000e-04 eta: 5:54:36 time: 0.360185 data_time: 0.037562 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.884473 2023/08/08 16:02:47 - mmengine - INFO - Epoch(train) [99][ 40/529] lr: 5.000000e-04 eta: 5:54:33 time: 0.361725 data_time: 0.037906 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.879659 2023/08/08 16:02:51 - mmengine - INFO - Epoch(train) [99][ 50/529] lr: 5.000000e-04 eta: 5:54:29 time: 0.363927 data_time: 0.038013 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.885667 2023/08/08 16:02:55 - mmengine - INFO - Epoch(train) [99][ 60/529] lr: 5.000000e-04 eta: 5:54:26 time: 0.365806 data_time: 0.036438 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.933312 2023/08/08 16:02:58 - mmengine - INFO - Epoch(train) [99][ 70/529] lr: 5.000000e-04 eta: 5:54:22 time: 0.363143 data_time: 0.035841 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.872150 2023/08/08 16:03:02 - mmengine - INFO - Epoch(train) [99][ 80/529] lr: 5.000000e-04 eta: 5:54:18 time: 0.364641 data_time: 0.035911 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.840689 2023/08/08 16:03:06 - mmengine - INFO - Epoch(train) [99][ 90/529] lr: 5.000000e-04 eta: 5:54:15 time: 0.365749 data_time: 0.036031 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.852886 2023/08/08 16:03:09 - mmengine - INFO - Epoch(train) [99][100/529] lr: 5.000000e-04 eta: 5:54:11 time: 0.366126 data_time: 0.037008 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.882075 2023/08/08 16:03:13 - mmengine - INFO - Epoch(train) [99][110/529] lr: 5.000000e-04 eta: 5:54:08 time: 0.367630 data_time: 0.033849 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.892478 2023/08/08 16:03:17 - mmengine - INFO - Epoch(train) [99][120/529] lr: 5.000000e-04 eta: 5:54:05 time: 0.376210 data_time: 0.033764 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.887797 2023/08/08 16:03:21 - mmengine - INFO - Epoch(train) [99][130/529] lr: 5.000000e-04 eta: 5:54:02 time: 0.383048 data_time: 0.034621 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.858271 2023/08/08 16:03:25 - mmengine - INFO - Epoch(train) [99][140/529] lr: 5.000000e-04 eta: 5:53:59 time: 0.390328 data_time: 0.035583 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.856269 2023/08/08 16:03:29 - mmengine - INFO - Epoch(train) [99][150/529] lr: 5.000000e-04 eta: 5:53:55 time: 0.393676 data_time: 0.035590 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.886552 2023/08/08 16:03:32 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:03:33 - mmengine - INFO - Epoch(train) [99][160/529] lr: 5.000000e-04 eta: 5:53:52 time: 0.388461 data_time: 0.035893 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.883821 2023/08/08 16:03:36 - mmengine - INFO - Epoch(train) [99][170/529] lr: 5.000000e-04 eta: 5:53:48 time: 0.385215 data_time: 0.036512 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.894386 2023/08/08 16:03:40 - mmengine - INFO - Epoch(train) [99][180/529] lr: 5.000000e-04 eta: 5:53:45 time: 0.382772 data_time: 0.035722 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.907633 2023/08/08 16:03:44 - mmengine - INFO - Epoch(train) [99][190/529] lr: 5.000000e-04 eta: 5:53:42 time: 0.381987 data_time: 0.034862 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.922736 2023/08/08 16:03:48 - mmengine - INFO - Epoch(train) [99][200/529] lr: 5.000000e-04 eta: 5:53:39 time: 0.386040 data_time: 0.034855 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.883817 2023/08/08 16:03:52 - mmengine - INFO - Epoch(train) [99][210/529] lr: 5.000000e-04 eta: 5:53:36 time: 0.389222 data_time: 0.034551 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.914970 2023/08/08 16:03:56 - mmengine - INFO - Epoch(train) [99][220/529] lr: 5.000000e-04 eta: 5:53:32 time: 0.384695 data_time: 0.033718 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.933843 2023/08/08 16:03:59 - mmengine - INFO - Epoch(train) [99][230/529] lr: 5.000000e-04 eta: 5:53:28 time: 0.380496 data_time: 0.033545 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.891046 2023/08/08 16:04:03 - mmengine - INFO - Epoch(train) [99][240/529] lr: 5.000000e-04 eta: 5:53:25 time: 0.374134 data_time: 0.033554 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.850050 2023/08/08 16:04:07 - mmengine - INFO - Epoch(train) [99][250/529] lr: 5.000000e-04 eta: 5:53:21 time: 0.368484 data_time: 0.033166 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.892166 2023/08/08 16:04:10 - mmengine - INFO - Epoch(train) [99][260/529] lr: 5.000000e-04 eta: 5:53:18 time: 0.367887 data_time: 0.036496 memory: 4565 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.856429 2023/08/08 16:04:14 - mmengine - INFO - Epoch(train) [99][270/529] lr: 5.000000e-04 eta: 5:53:14 time: 0.367759 data_time: 0.036795 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.879953 2023/08/08 16:04:18 - mmengine - INFO - Epoch(train) [99][280/529] lr: 5.000000e-04 eta: 5:53:11 time: 0.367526 data_time: 0.036787 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.863825 2023/08/08 16:04:21 - mmengine - INFO - Epoch(train) [99][290/529] lr: 5.000000e-04 eta: 5:53:07 time: 0.365451 data_time: 0.036425 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.874075 2023/08/08 16:04:25 - mmengine - INFO - Epoch(train) [99][300/529] lr: 5.000000e-04 eta: 5:53:04 time: 0.370533 data_time: 0.036246 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.848552 2023/08/08 16:04:29 - mmengine - INFO - Epoch(train) [99][310/529] lr: 5.000000e-04 eta: 5:53:01 time: 0.372328 data_time: 0.033363 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.885752 2023/08/08 16:04:33 - mmengine - INFO - Epoch(train) [99][320/529] lr: 5.000000e-04 eta: 5:52:58 time: 0.378250 data_time: 0.033436 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.853245 2023/08/08 16:04:37 - mmengine - INFO - Epoch(train) [99][330/529] lr: 5.000000e-04 eta: 5:52:54 time: 0.380213 data_time: 0.033457 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.924950 2023/08/08 16:04:40 - mmengine - INFO - Epoch(train) [99][340/529] lr: 5.000000e-04 eta: 5:52:51 time: 0.381342 data_time: 0.034094 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.824993 2023/08/08 16:04:44 - mmengine - INFO - Epoch(train) [99][350/529] lr: 5.000000e-04 eta: 5:52:47 time: 0.374906 data_time: 0.034232 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.882767 2023/08/08 16:04:48 - mmengine - INFO - Epoch(train) [99][360/529] lr: 5.000000e-04 eta: 5:52:44 time: 0.373666 data_time: 0.033705 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.888737 2023/08/08 16:04:51 - mmengine - INFO - Epoch(train) [99][370/529] lr: 5.000000e-04 eta: 5:52:40 time: 0.368653 data_time: 0.033297 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.915040 2023/08/08 16:04:55 - mmengine - INFO - Epoch(train) [99][380/529] lr: 5.000000e-04 eta: 5:52:37 time: 0.369306 data_time: 0.033513 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.843130 2023/08/08 16:04:59 - mmengine - INFO - Epoch(train) [99][390/529] lr: 5.000000e-04 eta: 5:52:33 time: 0.371284 data_time: 0.032894 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.964535 2023/08/08 16:05:03 - mmengine - INFO - Epoch(train) [99][400/529] lr: 5.000000e-04 eta: 5:52:30 time: 0.371251 data_time: 0.033378 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.900369 2023/08/08 16:05:06 - mmengine - INFO - Epoch(train) [99][410/529] lr: 5.000000e-04 eta: 5:52:26 time: 0.367276 data_time: 0.033457 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.897482 2023/08/08 16:05:10 - mmengine - INFO - Epoch(train) [99][420/529] lr: 5.000000e-04 eta: 5:52:23 time: 0.373691 data_time: 0.033714 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.879536 2023/08/08 16:05:14 - mmengine - INFO - Epoch(train) [99][430/529] lr: 5.000000e-04 eta: 5:52:20 time: 0.376941 data_time: 0.033702 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.852189 2023/08/08 16:05:18 - mmengine - INFO - Epoch(train) [99][440/529] lr: 5.000000e-04 eta: 5:52:16 time: 0.379256 data_time: 0.034469 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.851846 2023/08/08 16:05:22 - mmengine - INFO - Epoch(train) [99][450/529] lr: 5.000000e-04 eta: 5:52:13 time: 0.380220 data_time: 0.033975 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.838491 2023/08/08 16:05:25 - mmengine - INFO - Epoch(train) [99][460/529] lr: 5.000000e-04 eta: 5:52:09 time: 0.381729 data_time: 0.034042 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.907614 2023/08/08 16:05:29 - mmengine - INFO - Epoch(train) [99][470/529] lr: 5.000000e-04 eta: 5:52:06 time: 0.378427 data_time: 0.034597 memory: 4565 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.789251 2023/08/08 16:05:33 - mmengine - INFO - Epoch(train) [99][480/529] lr: 5.000000e-04 eta: 5:52:02 time: 0.370830 data_time: 0.034574 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.889334 2023/08/08 16:05:36 - mmengine - INFO - Epoch(train) [99][490/529] lr: 5.000000e-04 eta: 5:51:59 time: 0.369504 data_time: 0.034993 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.891434 2023/08/08 16:05:40 - mmengine - INFO - Epoch(train) [99][500/529] lr: 5.000000e-04 eta: 5:51:56 time: 0.369846 data_time: 0.034578 memory: 4565 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.897418 2023/08/08 16:05:44 - mmengine - INFO - Epoch(train) [99][510/529] lr: 5.000000e-04 eta: 5:51:52 time: 0.367887 data_time: 0.034326 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.885361 2023/08/08 16:05:47 - mmengine - INFO - Epoch(train) [99][520/529] lr: 5.000000e-04 eta: 5:51:48 time: 0.366579 data_time: 0.034066 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.860932 2023/08/08 16:05:51 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:05:54 - mmengine - INFO - Epoch(train) [100][ 10/529] lr: 5.000000e-04 eta: 5:51:42 time: 0.364597 data_time: 0.036435 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.821492 2023/08/08 16:05:58 - mmengine - INFO - Epoch(train) [100][ 20/529] lr: 5.000000e-04 eta: 5:51:38 time: 0.361510 data_time: 0.036483 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.946664 2023/08/08 16:06:01 - mmengine - INFO - Epoch(train) [100][ 30/529] lr: 5.000000e-04 eta: 5:51:34 time: 0.360505 data_time: 0.036705 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.862674 2023/08/08 16:06:05 - mmengine - INFO - Epoch(train) [100][ 40/529] lr: 5.000000e-04 eta: 5:51:31 time: 0.357303 data_time: 0.037131 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.821906 2023/08/08 16:06:09 - mmengine - INFO - Epoch(train) [100][ 50/529] lr: 5.000000e-04 eta: 5:51:27 time: 0.358772 data_time: 0.038328 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.862667 2023/08/08 16:06:12 - mmengine - INFO - Epoch(train) [100][ 60/529] lr: 5.000000e-04 eta: 5:51:23 time: 0.354412 data_time: 0.035252 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.870636 2023/08/08 16:06:16 - mmengine - INFO - Epoch(train) [100][ 70/529] lr: 5.000000e-04 eta: 5:51:20 time: 0.353835 data_time: 0.035856 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.874728 2023/08/08 16:06:19 - mmengine - INFO - Epoch(train) [100][ 80/529] lr: 5.000000e-04 eta: 5:51:16 time: 0.353175 data_time: 0.036713 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.908855 2023/08/08 16:06:23 - mmengine - INFO - Epoch(train) [100][ 90/529] lr: 5.000000e-04 eta: 5:51:12 time: 0.351629 data_time: 0.036270 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.877381 2023/08/08 16:06:26 - mmengine - INFO - Epoch(train) [100][100/529] lr: 5.000000e-04 eta: 5:51:09 time: 0.349809 data_time: 0.035828 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.839797 2023/08/08 16:06:30 - mmengine - INFO - Epoch(train) [100][110/529] lr: 5.000000e-04 eta: 5:51:05 time: 0.351382 data_time: 0.035432 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.855740 2023/08/08 16:06:33 - mmengine - INFO - Epoch(train) [100][120/529] lr: 5.000000e-04 eta: 5:51:02 time: 0.357217 data_time: 0.034981 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.874667 2023/08/08 16:06:37 - mmengine - INFO - Epoch(train) [100][130/529] lr: 5.000000e-04 eta: 5:50:58 time: 0.357369 data_time: 0.034909 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.924543 2023/08/08 16:06:41 - mmengine - INFO - Epoch(train) [100][140/529] lr: 5.000000e-04 eta: 5:50:55 time: 0.369377 data_time: 0.035508 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.902255 2023/08/08 16:06:45 - mmengine - INFO - Epoch(train) [100][150/529] lr: 5.000000e-04 eta: 5:50:52 time: 0.375863 data_time: 0.035885 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.920874 2023/08/08 16:06:48 - mmengine - INFO - Epoch(train) [100][160/529] lr: 5.000000e-04 eta: 5:50:48 time: 0.377225 data_time: 0.035795 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.885876 2023/08/08 16:06:52 - mmengine - INFO - Epoch(train) [100][170/529] lr: 5.000000e-04 eta: 5:50:44 time: 0.371717 data_time: 0.036044 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.922195 2023/08/08 16:06:56 - mmengine - INFO - Epoch(train) [100][180/529] lr: 5.000000e-04 eta: 5:50:41 time: 0.374139 data_time: 0.035295 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.891801 2023/08/08 16:06:59 - mmengine - INFO - Epoch(train) [100][190/529] lr: 5.000000e-04 eta: 5:50:37 time: 0.365210 data_time: 0.034639 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.871525 2023/08/08 16:07:03 - mmengine - INFO - Epoch(train) [100][200/529] lr: 5.000000e-04 eta: 5:50:34 time: 0.362592 data_time: 0.035621 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.906247 2023/08/08 16:07:07 - mmengine - INFO - Epoch(train) [100][210/529] lr: 5.000000e-04 eta: 5:50:30 time: 0.363198 data_time: 0.035431 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.891373 2023/08/08 16:07:10 - mmengine - INFO - Epoch(train) [100][220/529] lr: 5.000000e-04 eta: 5:50:27 time: 0.367380 data_time: 0.035090 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.844646 2023/08/08 16:07:14 - mmengine - INFO - Epoch(train) [100][230/529] lr: 5.000000e-04 eta: 5:50:24 time: 0.372647 data_time: 0.035362 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.836127 2023/08/08 16:07:18 - mmengine - INFO - Epoch(train) [100][240/529] lr: 5.000000e-04 eta: 5:50:20 time: 0.373377 data_time: 0.035461 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.886119 2023/08/08 16:07:22 - mmengine - INFO - Epoch(train) [100][250/529] lr: 5.000000e-04 eta: 5:50:16 time: 0.371216 data_time: 0.033590 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.862767 2023/08/08 16:07:25 - mmengine - INFO - Epoch(train) [100][260/529] lr: 5.000000e-04 eta: 5:50:13 time: 0.370700 data_time: 0.033246 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.865299 2023/08/08 16:07:29 - mmengine - INFO - Epoch(train) [100][270/529] lr: 5.000000e-04 eta: 5:50:10 time: 0.371277 data_time: 0.032995 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.908250 2023/08/08 16:07:33 - mmengine - INFO - Epoch(train) [100][280/529] lr: 5.000000e-04 eta: 5:50:06 time: 0.364842 data_time: 0.032744 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.892014 2023/08/08 16:07:36 - mmengine - INFO - Epoch(train) [100][290/529] lr: 5.000000e-04 eta: 5:50:02 time: 0.362874 data_time: 0.033013 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.923134 2023/08/08 16:07:40 - mmengine - INFO - Epoch(train) [100][300/529] lr: 5.000000e-04 eta: 5:49:59 time: 0.362519 data_time: 0.033697 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.880570 2023/08/08 16:07:43 - mmengine - INFO - Epoch(train) [100][310/529] lr: 5.000000e-04 eta: 5:49:55 time: 0.361571 data_time: 0.033889 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.858784 2023/08/08 16:07:47 - mmengine - INFO - Epoch(train) [100][320/529] lr: 5.000000e-04 eta: 5:49:51 time: 0.358205 data_time: 0.034116 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.922191 2023/08/08 16:07:50 - mmengine - INFO - Epoch(train) [100][330/529] lr: 5.000000e-04 eta: 5:49:48 time: 0.358433 data_time: 0.033988 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.885881 2023/08/08 16:07:54 - mmengine - INFO - Epoch(train) [100][340/529] lr: 5.000000e-04 eta: 5:49:44 time: 0.359700 data_time: 0.033723 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.835457 2023/08/08 16:07:58 - mmengine - INFO - Epoch(train) [100][350/529] lr: 5.000000e-04 eta: 5:49:41 time: 0.361048 data_time: 0.033497 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.906513 2023/08/08 16:08:02 - mmengine - INFO - Epoch(train) [100][360/529] lr: 5.000000e-04 eta: 5:49:37 time: 0.364995 data_time: 0.033441 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.875589 2023/08/08 16:08:05 - mmengine - INFO - Epoch(train) [100][370/529] lr: 5.000000e-04 eta: 5:49:34 time: 0.367804 data_time: 0.033999 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.841088 2023/08/08 16:08:09 - mmengine - INFO - Epoch(train) [100][380/529] lr: 5.000000e-04 eta: 5:49:30 time: 0.367671 data_time: 0.033847 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.862031 2023/08/08 16:08:12 - mmengine - INFO - Epoch(train) [100][390/529] lr: 5.000000e-04 eta: 5:49:27 time: 0.366908 data_time: 0.033193 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.899644 2023/08/08 16:08:16 - mmengine - INFO - Epoch(train) [100][400/529] lr: 5.000000e-04 eta: 5:49:24 time: 0.372415 data_time: 0.032623 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.877816 2023/08/08 16:08:20 - mmengine - INFO - Epoch(train) [100][410/529] lr: 5.000000e-04 eta: 5:49:20 time: 0.368896 data_time: 0.032504 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.902593 2023/08/08 16:08:24 - mmengine - INFO - Epoch(train) [100][420/529] lr: 5.000000e-04 eta: 5:49:16 time: 0.366243 data_time: 0.031922 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.889970 2023/08/08 16:08:27 - mmengine - INFO - Epoch(train) [100][430/529] lr: 5.000000e-04 eta: 5:49:13 time: 0.368768 data_time: 0.032383 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.849894 2023/08/08 16:08:31 - mmengine - INFO - Epoch(train) [100][440/529] lr: 5.000000e-04 eta: 5:49:09 time: 0.368795 data_time: 0.032650 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.897095 2023/08/08 16:08:34 - mmengine - INFO - Epoch(train) [100][450/529] lr: 5.000000e-04 eta: 5:49:06 time: 0.361255 data_time: 0.032607 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.861704 2023/08/08 16:08:38 - mmengine - INFO - Epoch(train) [100][460/529] lr: 5.000000e-04 eta: 5:49:02 time: 0.359064 data_time: 0.032563 memory: 4565 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.846905 2023/08/08 16:08:42 - mmengine - INFO - Epoch(train) [100][470/529] lr: 5.000000e-04 eta: 5:48:59 time: 0.361503 data_time: 0.032380 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.892857 2023/08/08 16:08:45 - mmengine - INFO - Epoch(train) [100][480/529] lr: 5.000000e-04 eta: 5:48:55 time: 0.360795 data_time: 0.031877 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.876648 2023/08/08 16:08:49 - mmengine - INFO - Epoch(train) [100][490/529] lr: 5.000000e-04 eta: 5:48:52 time: 0.365634 data_time: 0.032162 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.786650 2023/08/08 16:08:53 - mmengine - INFO - Epoch(train) [100][500/529] lr: 5.000000e-04 eta: 5:48:48 time: 0.367944 data_time: 0.032278 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.912443 2023/08/08 16:08:56 - mmengine - INFO - Epoch(train) [100][510/529] lr: 5.000000e-04 eta: 5:48:45 time: 0.368863 data_time: 0.032310 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.891142 2023/08/08 16:09:00 - mmengine - INFO - Epoch(train) [100][520/529] lr: 5.000000e-04 eta: 5:48:41 time: 0.365684 data_time: 0.032197 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.872791 2023/08/08 16:09:03 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:09:03 - mmengine - INFO - Saving checkpoint at 100 epochs 2023/08/08 16:09:09 - mmengine - INFO - Epoch(val) [100][ 10/127] eta: 0:00:24 time: 0.198798 data_time: 0.013412 memory: 4565 2023/08/08 16:09:11 - mmengine - INFO - Epoch(val) [100][ 20/127] eta: 0:00:21 time: 0.198865 data_time: 0.013443 memory: 1634 2023/08/08 16:09:13 - mmengine - INFO - Epoch(val) [100][ 30/127] eta: 0:00:19 time: 0.198581 data_time: 0.013313 memory: 1634 2023/08/08 16:09:15 - mmengine - INFO - Epoch(val) [100][ 40/127] eta: 0:00:17 time: 0.198204 data_time: 0.013208 memory: 1634 2023/08/08 16:09:17 - mmengine - INFO - Epoch(val) [100][ 50/127] eta: 0:00:15 time: 0.200238 data_time: 0.013228 memory: 1634 2023/08/08 16:09:19 - mmengine - INFO - Epoch(val) [100][ 60/127] eta: 0:00:13 time: 0.197757 data_time: 0.011198 memory: 1634 2023/08/08 16:09:21 - mmengine - INFO - Epoch(val) [100][ 70/127] eta: 0:00:11 time: 0.197366 data_time: 0.010982 memory: 1634 2023/08/08 16:09:23 - mmengine - INFO - Epoch(val) [100][ 80/127] eta: 0:00:09 time: 0.197169 data_time: 0.010969 memory: 1634 2023/08/08 16:09:25 - mmengine - INFO - Epoch(val) [100][ 90/127] eta: 0:00:07 time: 0.197237 data_time: 0.010930 memory: 1634 2023/08/08 16:09:27 - mmengine - INFO - Epoch(val) [100][100/127] eta: 0:00:05 time: 0.196996 data_time: 0.010964 memory: 1634 2023/08/08 16:09:29 - mmengine - INFO - Epoch(val) [100][110/127] eta: 0:00:03 time: 0.197235 data_time: 0.011025 memory: 1634 2023/08/08 16:09:31 - mmengine - INFO - Epoch(val) [100][120/127] eta: 0:00:01 time: 0.197503 data_time: 0.011108 memory: 1634 2023/08/08 16:09:32 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 16:09:33 - mmengine - INFO - Evaluating AUC... 2023/08/08 16:09:33 - mmengine - INFO - Evaluating EPE... 2023/08/08 16:09:33 - mmengine - INFO - Epoch(val) [100][127/127] PCK: 0.981580 AUC: 0.672589 EPE: 11.842486 data_time: 0.011794 time: 0.196924 2023/08/08 16:09:33 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_70.pth is removed 2023/08/08 16:09:35 - mmengine - INFO - The best checkpoint with 0.6726 AUC at 100 epoch is saved to best_AUC_epoch_100.pth. 2023/08/08 16:09:43 - mmengine - INFO - Epoch(train) [101][ 10/529] lr: 5.000000e-04 eta: 5:48:35 time: 0.369340 data_time: 0.036472 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.886886 2023/08/08 16:09:47 - mmengine - INFO - Epoch(train) [101][ 20/529] lr: 5.000000e-04 eta: 5:48:31 time: 0.370728 data_time: 0.036235 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.857894 2023/08/08 16:09:50 - mmengine - INFO - Epoch(train) [101][ 30/529] lr: 5.000000e-04 eta: 5:48:28 time: 0.376183 data_time: 0.036136 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.930877 2023/08/08 16:09:54 - mmengine - INFO - Epoch(train) [101][ 40/529] lr: 5.000000e-04 eta: 5:48:24 time: 0.376523 data_time: 0.036752 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.872297 2023/08/08 16:09:58 - mmengine - INFO - Epoch(train) [101][ 50/529] lr: 5.000000e-04 eta: 5:48:21 time: 0.379771 data_time: 0.037628 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.901177 2023/08/08 16:10:01 - mmengine - INFO - Epoch(train) [101][ 60/529] lr: 5.000000e-04 eta: 5:48:17 time: 0.370938 data_time: 0.032829 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.902496 2023/08/08 16:10:05 - mmengine - INFO - Epoch(train) [101][ 70/529] lr: 5.000000e-04 eta: 5:48:14 time: 0.366693 data_time: 0.032777 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.920245 2023/08/08 16:10:08 - mmengine - INFO - Epoch(train) [101][ 80/529] lr: 5.000000e-04 eta: 5:48:10 time: 0.361717 data_time: 0.033070 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.923500 2023/08/08 16:10:12 - mmengine - INFO - Epoch(train) [101][ 90/529] lr: 5.000000e-04 eta: 5:48:06 time: 0.363465 data_time: 0.032708 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.836923 2023/08/08 16:10:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:10:16 - mmengine - INFO - Epoch(train) [101][100/529] lr: 5.000000e-04 eta: 5:48:03 time: 0.360294 data_time: 0.033064 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.906978 2023/08/08 16:10:19 - mmengine - INFO - Epoch(train) [101][110/529] lr: 5.000000e-04 eta: 5:47:59 time: 0.363818 data_time: 0.033615 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.892164 2023/08/08 16:10:23 - mmengine - INFO - Epoch(train) [101][120/529] lr: 5.000000e-04 eta: 5:47:56 time: 0.369997 data_time: 0.038383 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.855359 2023/08/08 16:10:27 - mmengine - INFO - Epoch(train) [101][130/529] lr: 5.000000e-04 eta: 5:47:53 time: 0.375358 data_time: 0.038365 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.890136 2023/08/08 16:10:31 - mmengine - INFO - Epoch(train) [101][140/529] lr: 5.000000e-04 eta: 5:47:49 time: 0.375646 data_time: 0.038510 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.881417 2023/08/08 16:10:34 - mmengine - INFO - Epoch(train) [101][150/529] lr: 5.000000e-04 eta: 5:47:46 time: 0.374474 data_time: 0.037692 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.920943 2023/08/08 16:10:38 - mmengine - INFO - Epoch(train) [101][160/529] lr: 5.000000e-04 eta: 5:47:42 time: 0.371734 data_time: 0.037160 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.896434 2023/08/08 16:10:42 - mmengine - INFO - Epoch(train) [101][170/529] lr: 5.000000e-04 eta: 5:47:39 time: 0.369432 data_time: 0.032751 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.950771 2023/08/08 16:10:45 - mmengine - INFO - Epoch(train) [101][180/529] lr: 5.000000e-04 eta: 5:47:35 time: 0.365337 data_time: 0.033016 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.943728 2023/08/08 16:10:49 - mmengine - INFO - Epoch(train) [101][190/529] lr: 5.000000e-04 eta: 5:47:32 time: 0.364397 data_time: 0.033499 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.892676 2023/08/08 16:10:53 - mmengine - INFO - Epoch(train) [101][200/529] lr: 5.000000e-04 eta: 5:47:28 time: 0.363365 data_time: 0.033651 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.901445 2023/08/08 16:10:56 - mmengine - INFO - Epoch(train) [101][210/529] lr: 5.000000e-04 eta: 5:47:24 time: 0.363791 data_time: 0.033568 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.894466 2023/08/08 16:11:00 - mmengine - INFO - Epoch(train) [101][220/529] lr: 5.000000e-04 eta: 5:47:21 time: 0.362067 data_time: 0.034127 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.885788 2023/08/08 16:11:04 - mmengine - INFO - Epoch(train) [101][230/529] lr: 5.000000e-04 eta: 5:47:17 time: 0.361999 data_time: 0.034085 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.905070 2023/08/08 16:11:07 - mmengine - INFO - Epoch(train) [101][240/529] lr: 5.000000e-04 eta: 5:47:14 time: 0.363914 data_time: 0.033793 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.868812 2023/08/08 16:11:11 - mmengine - INFO - Epoch(train) [101][250/529] lr: 5.000000e-04 eta: 5:47:10 time: 0.366868 data_time: 0.033717 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.933978 2023/08/08 16:11:15 - mmengine - INFO - Epoch(train) [101][260/529] lr: 5.000000e-04 eta: 5:47:07 time: 0.369254 data_time: 0.033882 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.884247 2023/08/08 16:11:18 - mmengine - INFO - Epoch(train) [101][270/529] lr: 5.000000e-04 eta: 5:47:03 time: 0.367661 data_time: 0.033304 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.923107 2023/08/08 16:11:22 - mmengine - INFO - Epoch(train) [101][280/529] lr: 5.000000e-04 eta: 5:47:00 time: 0.369057 data_time: 0.033218 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.880850 2023/08/08 16:11:26 - mmengine - INFO - Epoch(train) [101][290/529] lr: 5.000000e-04 eta: 5:46:57 time: 0.373990 data_time: 0.036873 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.906492 2023/08/08 16:11:30 - mmengine - INFO - Epoch(train) [101][300/529] lr: 5.000000e-04 eta: 5:46:53 time: 0.375738 data_time: 0.037120 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.927020 2023/08/08 16:11:34 - mmengine - INFO - Epoch(train) [101][310/529] lr: 5.000000e-04 eta: 5:46:50 time: 0.375466 data_time: 0.037240 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.886165 2023/08/08 16:11:37 - mmengine - INFO - Epoch(train) [101][320/529] lr: 5.000000e-04 eta: 5:46:47 time: 0.379707 data_time: 0.041266 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.910690 2023/08/08 16:11:41 - mmengine - INFO - Epoch(train) [101][330/529] lr: 5.000000e-04 eta: 5:46:43 time: 0.377370 data_time: 0.041051 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.891184 2023/08/08 16:11:45 - mmengine - INFO - Epoch(train) [101][340/529] lr: 5.000000e-04 eta: 5:46:39 time: 0.372678 data_time: 0.037091 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.861240 2023/08/08 16:11:48 - mmengine - INFO - Epoch(train) [101][350/529] lr: 5.000000e-04 eta: 5:46:36 time: 0.369676 data_time: 0.036747 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.839162 2023/08/08 16:11:52 - mmengine - INFO - Epoch(train) [101][360/529] lr: 5.000000e-04 eta: 5:46:32 time: 0.368749 data_time: 0.036698 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.895069 2023/08/08 16:11:56 - mmengine - INFO - Epoch(train) [101][370/529] lr: 5.000000e-04 eta: 5:46:29 time: 0.366697 data_time: 0.033126 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.893377 2023/08/08 16:11:59 - mmengine - INFO - Epoch(train) [101][380/529] lr: 5.000000e-04 eta: 5:46:25 time: 0.366110 data_time: 0.033155 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.924731 2023/08/08 16:12:03 - mmengine - INFO - Epoch(train) [101][390/529] lr: 5.000000e-04 eta: 5:46:22 time: 0.363312 data_time: 0.033153 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.872658 2023/08/08 16:12:06 - mmengine - INFO - Epoch(train) [101][400/529] lr: 5.000000e-04 eta: 5:46:18 time: 0.363672 data_time: 0.033606 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.884876 2023/08/08 16:12:10 - mmengine - INFO - Epoch(train) [101][410/529] lr: 5.000000e-04 eta: 5:46:15 time: 0.366683 data_time: 0.033577 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.924916 2023/08/08 16:12:14 - mmengine - INFO - Epoch(train) [101][420/529] lr: 5.000000e-04 eta: 5:46:11 time: 0.364791 data_time: 0.033153 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.829567 2023/08/08 16:12:18 - mmengine - INFO - Epoch(train) [101][430/529] lr: 5.000000e-04 eta: 5:46:08 time: 0.365093 data_time: 0.033005 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.877314 2023/08/08 16:12:21 - mmengine - INFO - Epoch(train) [101][440/529] lr: 5.000000e-04 eta: 5:46:04 time: 0.364394 data_time: 0.032643 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.827645 2023/08/08 16:12:25 - mmengine - INFO - Epoch(train) [101][450/529] lr: 5.000000e-04 eta: 5:46:00 time: 0.363744 data_time: 0.032107 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.856369 2023/08/08 16:12:28 - mmengine - INFO - Epoch(train) [101][460/529] lr: 5.000000e-04 eta: 5:45:57 time: 0.359152 data_time: 0.032188 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.823981 2023/08/08 16:12:32 - mmengine - INFO - Epoch(train) [101][470/529] lr: 5.000000e-04 eta: 5:45:53 time: 0.362749 data_time: 0.032173 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.903221 2023/08/08 16:12:36 - mmengine - INFO - Epoch(train) [101][480/529] lr: 5.000000e-04 eta: 5:45:50 time: 0.368009 data_time: 0.032621 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.920194 2023/08/08 16:12:40 - mmengine - INFO - Epoch(train) [101][490/529] lr: 5.000000e-04 eta: 5:45:47 time: 0.371106 data_time: 0.033027 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.839523 2023/08/08 16:12:43 - mmengine - INFO - Epoch(train) [101][500/529] lr: 5.000000e-04 eta: 5:45:43 time: 0.370883 data_time: 0.033408 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.864969 2023/08/08 16:12:47 - mmengine - INFO - Epoch(train) [101][510/529] lr: 5.000000e-04 eta: 5:45:39 time: 0.371411 data_time: 0.034225 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.890759 2023/08/08 16:12:50 - mmengine - INFO - Epoch(train) [101][520/529] lr: 5.000000e-04 eta: 5:45:36 time: 0.367586 data_time: 0.033961 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.879303 2023/08/08 16:12:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:12:57 - mmengine - INFO - Epoch(train) [102][ 10/529] lr: 5.000000e-04 eta: 5:45:29 time: 0.363533 data_time: 0.037174 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.862801 2023/08/08 16:13:01 - mmengine - INFO - Epoch(train) [102][ 20/529] lr: 5.000000e-04 eta: 5:45:26 time: 0.364344 data_time: 0.037155 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.852493 2023/08/08 16:13:05 - mmengine - INFO - Epoch(train) [102][ 30/529] lr: 5.000000e-04 eta: 5:45:22 time: 0.363697 data_time: 0.036566 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.826273 2023/08/08 16:13:08 - mmengine - INFO - Epoch(train) [102][ 40/529] lr: 5.000000e-04 eta: 5:45:19 time: 0.364526 data_time: 0.036756 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.918789 2023/08/08 16:13:12 - mmengine - INFO - Epoch(train) [102][ 50/529] lr: 5.000000e-04 eta: 5:45:15 time: 0.364227 data_time: 0.036858 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.869432 2023/08/08 16:13:16 - mmengine - INFO - Epoch(train) [102][ 60/529] lr: 5.000000e-04 eta: 5:45:11 time: 0.362579 data_time: 0.033466 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.830787 2023/08/08 16:13:19 - mmengine - INFO - Epoch(train) [102][ 70/529] lr: 5.000000e-04 eta: 5:45:08 time: 0.362460 data_time: 0.033182 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.900168 2023/08/08 16:13:23 - mmengine - INFO - Epoch(train) [102][ 80/529] lr: 5.000000e-04 eta: 5:45:05 time: 0.367367 data_time: 0.037056 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.868994 2023/08/08 16:13:27 - mmengine - INFO - Epoch(train) [102][ 90/529] lr: 5.000000e-04 eta: 5:45:01 time: 0.366209 data_time: 0.036920 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.940314 2023/08/08 16:13:30 - mmengine - INFO - Epoch(train) [102][100/529] lr: 5.000000e-04 eta: 5:44:57 time: 0.364862 data_time: 0.036889 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.882588 2023/08/08 16:13:34 - mmengine - INFO - Epoch(train) [102][110/529] lr: 5.000000e-04 eta: 5:44:54 time: 0.362653 data_time: 0.036054 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.908672 2023/08/08 16:13:38 - mmengine - INFO - Epoch(train) [102][120/529] lr: 5.000000e-04 eta: 5:44:50 time: 0.365328 data_time: 0.037114 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.853250 2023/08/08 16:13:41 - mmengine - INFO - Epoch(train) [102][130/529] lr: 5.000000e-04 eta: 5:44:47 time: 0.361176 data_time: 0.032558 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.810630 2023/08/08 16:13:45 - mmengine - INFO - Epoch(train) [102][140/529] lr: 5.000000e-04 eta: 5:44:43 time: 0.362477 data_time: 0.033034 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.828533 2023/08/08 16:13:49 - mmengine - INFO - Epoch(train) [102][150/529] lr: 5.000000e-04 eta: 5:44:40 time: 0.366792 data_time: 0.033458 memory: 4565 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.900817 2023/08/08 16:13:52 - mmengine - INFO - Epoch(train) [102][160/529] lr: 5.000000e-04 eta: 5:44:36 time: 0.369022 data_time: 0.034095 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.906263 2023/08/08 16:13:56 - mmengine - INFO - Epoch(train) [102][170/529] lr: 5.000000e-04 eta: 5:44:33 time: 0.364789 data_time: 0.032798 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.901509 2023/08/08 16:13:59 - mmengine - INFO - Epoch(train) [102][180/529] lr: 5.000000e-04 eta: 5:44:29 time: 0.363333 data_time: 0.033086 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.851629 2023/08/08 16:14:03 - mmengine - INFO - Epoch(train) [102][190/529] lr: 5.000000e-04 eta: 5:44:25 time: 0.364882 data_time: 0.032674 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.877961 2023/08/08 16:14:07 - mmengine - INFO - Epoch(train) [102][200/529] lr: 5.000000e-04 eta: 5:44:22 time: 0.362741 data_time: 0.032848 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.905128 2023/08/08 16:14:10 - mmengine - INFO - Epoch(train) [102][210/529] lr: 5.000000e-04 eta: 5:44:18 time: 0.363281 data_time: 0.033108 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.825935 2023/08/08 16:14:14 - mmengine - INFO - Epoch(train) [102][220/529] lr: 5.000000e-04 eta: 5:44:15 time: 0.363738 data_time: 0.033853 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.936097 2023/08/08 16:14:18 - mmengine - INFO - Epoch(train) [102][230/529] lr: 5.000000e-04 eta: 5:44:11 time: 0.366492 data_time: 0.033590 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.879624 2023/08/08 16:14:22 - mmengine - INFO - Epoch(train) [102][240/529] lr: 5.000000e-04 eta: 5:44:08 time: 0.371022 data_time: 0.033925 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.897801 2023/08/08 16:14:25 - mmengine - INFO - Epoch(train) [102][250/529] lr: 5.000000e-04 eta: 5:44:05 time: 0.375710 data_time: 0.033475 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.854281 2023/08/08 16:14:29 - mmengine - INFO - Epoch(train) [102][260/529] lr: 5.000000e-04 eta: 5:44:01 time: 0.375618 data_time: 0.032758 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.866124 2023/08/08 16:14:33 - mmengine - INFO - Epoch(train) [102][270/529] lr: 5.000000e-04 eta: 5:43:58 time: 0.381588 data_time: 0.032894 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.896664 2023/08/08 16:14:37 - mmengine - INFO - Epoch(train) [102][280/529] lr: 5.000000e-04 eta: 5:43:54 time: 0.379870 data_time: 0.033586 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.874861 2023/08/08 16:14:40 - mmengine - INFO - Epoch(train) [102][290/529] lr: 5.000000e-04 eta: 5:43:51 time: 0.371748 data_time: 0.033180 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.887585 2023/08/08 16:14:44 - mmengine - INFO - Epoch(train) [102][300/529] lr: 5.000000e-04 eta: 5:43:47 time: 0.363449 data_time: 0.033026 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.906381 2023/08/08 16:14:47 - mmengine - INFO - Epoch(train) [102][310/529] lr: 5.000000e-04 eta: 5:43:43 time: 0.359814 data_time: 0.032975 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.912030 2023/08/08 16:14:51 - mmengine - INFO - Epoch(train) [102][320/529] lr: 5.000000e-04 eta: 5:43:40 time: 0.357025 data_time: 0.032608 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.895470 2023/08/08 16:14:55 - mmengine - INFO - Epoch(train) [102][330/529] lr: 5.000000e-04 eta: 5:43:37 time: 0.363975 data_time: 0.032539 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.855511 2023/08/08 16:14:58 - mmengine - INFO - Epoch(train) [102][340/529] lr: 5.000000e-04 eta: 5:43:33 time: 0.364012 data_time: 0.032592 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.965521 2023/08/08 16:15:02 - mmengine - INFO - Epoch(train) [102][350/529] lr: 5.000000e-04 eta: 5:43:30 time: 0.373697 data_time: 0.032555 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.811219 2023/08/08 16:15:06 - mmengine - INFO - Epoch(train) [102][360/529] lr: 5.000000e-04 eta: 5:43:26 time: 0.376197 data_time: 0.032454 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.889457 2023/08/08 16:15:10 - mmengine - INFO - Epoch(train) [102][370/529] lr: 5.000000e-04 eta: 5:43:23 time: 0.379969 data_time: 0.032050 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.896983 2023/08/08 16:15:13 - mmengine - INFO - Epoch(train) [102][380/529] lr: 5.000000e-04 eta: 5:43:19 time: 0.372040 data_time: 0.031689 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.855406 2023/08/08 16:15:17 - mmengine - INFO - Epoch(train) [102][390/529] lr: 5.000000e-04 eta: 5:43:16 time: 0.373598 data_time: 0.032207 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.869787 2023/08/08 16:15:21 - mmengine - INFO - Epoch(train) [102][400/529] lr: 5.000000e-04 eta: 5:43:12 time: 0.369495 data_time: 0.032575 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.913667 2023/08/08 16:15:24 - mmengine - INFO - Epoch(train) [102][410/529] lr: 5.000000e-04 eta: 5:43:09 time: 0.367258 data_time: 0.032882 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.858018 2023/08/08 16:15:28 - mmengine - INFO - Epoch(train) [102][420/529] lr: 5.000000e-04 eta: 5:43:05 time: 0.359587 data_time: 0.032803 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.897823 2023/08/08 16:15:32 - mmengine - INFO - Epoch(train) [102][430/529] lr: 5.000000e-04 eta: 5:43:02 time: 0.364871 data_time: 0.032725 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.914487 2023/08/08 16:15:35 - mmengine - INFO - Epoch(train) [102][440/529] lr: 5.000000e-04 eta: 5:42:58 time: 0.364395 data_time: 0.032708 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.825594 2023/08/08 16:15:39 - mmengine - INFO - Epoch(train) [102][450/529] lr: 5.000000e-04 eta: 5:42:54 time: 0.364099 data_time: 0.032476 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.811760 2023/08/08 16:15:43 - mmengine - INFO - Epoch(train) [102][460/529] lr: 5.000000e-04 eta: 5:42:51 time: 0.365229 data_time: 0.032315 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.890576 2023/08/08 16:15:46 - mmengine - INFO - Epoch(train) [102][470/529] lr: 5.000000e-04 eta: 5:42:47 time: 0.365241 data_time: 0.032788 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.917950 2023/08/08 16:15:50 - mmengine - INFO - Epoch(train) [102][480/529] lr: 5.000000e-04 eta: 5:42:44 time: 0.363140 data_time: 0.033078 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.878915 2023/08/08 16:15:53 - mmengine - INFO - Epoch(train) [102][490/529] lr: 5.000000e-04 eta: 5:42:40 time: 0.362935 data_time: 0.032466 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.919139 2023/08/08 16:15:57 - mmengine - INFO - Epoch(train) [102][500/529] lr: 5.000000e-04 eta: 5:42:36 time: 0.358623 data_time: 0.032479 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.905919 2023/08/08 16:16:01 - mmengine - INFO - Epoch(train) [102][510/529] lr: 5.000000e-04 eta: 5:42:33 time: 0.358221 data_time: 0.032603 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.894317 2023/08/08 16:16:04 - mmengine - INFO - Epoch(train) [102][520/529] lr: 5.000000e-04 eta: 5:42:29 time: 0.358920 data_time: 0.032845 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.916434 2023/08/08 16:16:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:16:11 - mmengine - INFO - Epoch(train) [103][ 10/529] lr: 5.000000e-04 eta: 5:42:22 time: 0.358525 data_time: 0.036229 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.881754 2023/08/08 16:16:15 - mmengine - INFO - Epoch(train) [103][ 20/529] lr: 5.000000e-04 eta: 5:42:19 time: 0.358831 data_time: 0.036520 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.886722 2023/08/08 16:16:18 - mmengine - INFO - Epoch(train) [103][ 30/529] lr: 5.000000e-04 eta: 5:42:15 time: 0.359423 data_time: 0.036897 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.893393 2023/08/08 16:16:22 - mmengine - INFO - Epoch(train) [103][ 40/529] lr: 5.000000e-04 eta: 5:42:12 time: 0.360330 data_time: 0.036404 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.923077 2023/08/08 16:16:23 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:16:25 - mmengine - INFO - Epoch(train) [103][ 50/529] lr: 5.000000e-04 eta: 5:42:08 time: 0.359929 data_time: 0.036736 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.870741 2023/08/08 16:16:29 - mmengine - INFO - Epoch(train) [103][ 60/529] lr: 5.000000e-04 eta: 5:42:05 time: 0.360818 data_time: 0.033148 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.875283 2023/08/08 16:16:33 - mmengine - INFO - Epoch(train) [103][ 70/529] lr: 5.000000e-04 eta: 5:42:01 time: 0.360055 data_time: 0.032715 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.858367 2023/08/08 16:16:36 - mmengine - INFO - Epoch(train) [103][ 80/529] lr: 5.000000e-04 eta: 5:41:57 time: 0.360992 data_time: 0.032057 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.880128 2023/08/08 16:16:40 - mmengine - INFO - Epoch(train) [103][ 90/529] lr: 5.000000e-04 eta: 5:41:54 time: 0.359439 data_time: 0.032650 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.879811 2023/08/08 16:16:43 - mmengine - INFO - Epoch(train) [103][100/529] lr: 5.000000e-04 eta: 5:41:50 time: 0.361663 data_time: 0.033322 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.886755 2023/08/08 16:16:47 - mmengine - INFO - Epoch(train) [103][110/529] lr: 5.000000e-04 eta: 5:41:46 time: 0.357861 data_time: 0.032752 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.925549 2023/08/08 16:16:51 - mmengine - INFO - Epoch(train) [103][120/529] lr: 5.000000e-04 eta: 5:41:43 time: 0.362168 data_time: 0.033043 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.929849 2023/08/08 16:16:54 - mmengine - INFO - Epoch(train) [103][130/529] lr: 5.000000e-04 eta: 5:41:39 time: 0.361728 data_time: 0.033235 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.833550 2023/08/08 16:16:58 - mmengine - INFO - Epoch(train) [103][140/529] lr: 5.000000e-04 eta: 5:41:36 time: 0.364160 data_time: 0.036274 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.857528 2023/08/08 16:17:02 - mmengine - INFO - Epoch(train) [103][150/529] lr: 5.000000e-04 eta: 5:41:32 time: 0.364909 data_time: 0.035802 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.891064 2023/08/08 16:17:05 - mmengine - INFO - Epoch(train) [103][160/529] lr: 5.000000e-04 eta: 5:41:29 time: 0.367034 data_time: 0.036510 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.877747 2023/08/08 16:17:09 - mmengine - INFO - Epoch(train) [103][170/529] lr: 5.000000e-04 eta: 5:41:25 time: 0.363780 data_time: 0.036628 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.835437 2023/08/08 16:17:13 - mmengine - INFO - Epoch(train) [103][180/529] lr: 5.000000e-04 eta: 5:41:22 time: 0.363681 data_time: 0.037027 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.925315 2023/08/08 16:17:16 - mmengine - INFO - Epoch(train) [103][190/529] lr: 5.000000e-04 eta: 5:41:18 time: 0.360759 data_time: 0.033358 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.894223 2023/08/08 16:17:20 - mmengine - INFO - Epoch(train) [103][200/529] lr: 5.000000e-04 eta: 5:41:14 time: 0.358375 data_time: 0.033074 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.894489 2023/08/08 16:17:23 - mmengine - INFO - Epoch(train) [103][210/529] lr: 5.000000e-04 eta: 5:41:11 time: 0.361195 data_time: 0.033168 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.928815 2023/08/08 16:17:27 - mmengine - INFO - Epoch(train) [103][220/529] lr: 5.000000e-04 eta: 5:41:07 time: 0.363558 data_time: 0.033748 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.921595 2023/08/08 16:17:31 - mmengine - INFO - Epoch(train) [103][230/529] lr: 5.000000e-04 eta: 5:41:04 time: 0.364591 data_time: 0.033315 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.841490 2023/08/08 16:17:34 - mmengine - INFO - Epoch(train) [103][240/529] lr: 5.000000e-04 eta: 5:41:00 time: 0.367570 data_time: 0.033353 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.880594 2023/08/08 16:17:38 - mmengine - INFO - Epoch(train) [103][250/529] lr: 5.000000e-04 eta: 5:40:57 time: 0.369626 data_time: 0.033713 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.829915 2023/08/08 16:17:42 - mmengine - INFO - Epoch(train) [103][260/529] lr: 5.000000e-04 eta: 5:40:53 time: 0.366498 data_time: 0.032810 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.882370 2023/08/08 16:17:45 - mmengine - INFO - Epoch(train) [103][270/529] lr: 5.000000e-04 eta: 5:40:50 time: 0.365103 data_time: 0.031900 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.890242 2023/08/08 16:17:49 - mmengine - INFO - Epoch(train) [103][280/529] lr: 5.000000e-04 eta: 5:40:46 time: 0.365021 data_time: 0.031688 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.874823 2023/08/08 16:17:53 - mmengine - INFO - Epoch(train) [103][290/529] lr: 5.000000e-04 eta: 5:40:43 time: 0.369054 data_time: 0.031907 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.864112 2023/08/08 16:17:57 - mmengine - INFO - Epoch(train) [103][300/529] lr: 5.000000e-04 eta: 5:40:39 time: 0.368418 data_time: 0.032210 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.894672 2023/08/08 16:18:01 - mmengine - INFO - Epoch(train) [103][310/529] lr: 5.000000e-04 eta: 5:40:36 time: 0.376770 data_time: 0.032885 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.854043 2023/08/08 16:18:05 - mmengine - INFO - Epoch(train) [103][320/529] lr: 5.000000e-04 eta: 5:40:33 time: 0.384865 data_time: 0.033079 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.902848 2023/08/08 16:18:08 - mmengine - INFO - Epoch(train) [103][330/529] lr: 5.000000e-04 eta: 5:40:30 time: 0.387876 data_time: 0.033383 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.952495 2023/08/08 16:18:12 - mmengine - INFO - Epoch(train) [103][340/529] lr: 5.000000e-04 eta: 5:40:27 time: 0.389338 data_time: 0.032818 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.916087 2023/08/08 16:18:16 - mmengine - INFO - Epoch(train) [103][350/529] lr: 5.000000e-04 eta: 5:40:23 time: 0.389894 data_time: 0.033012 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.841577 2023/08/08 16:18:20 - mmengine - INFO - Epoch(train) [103][360/529] lr: 5.000000e-04 eta: 5:40:19 time: 0.381794 data_time: 0.032536 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.912746 2023/08/08 16:18:23 - mmengine - INFO - Epoch(train) [103][370/529] lr: 5.000000e-04 eta: 5:40:16 time: 0.374198 data_time: 0.032432 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.910201 2023/08/08 16:18:27 - mmengine - INFO - Epoch(train) [103][380/529] lr: 5.000000e-04 eta: 5:40:12 time: 0.372397 data_time: 0.032395 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.899011 2023/08/08 16:18:31 - mmengine - INFO - Epoch(train) [103][390/529] lr: 5.000000e-04 eta: 5:40:09 time: 0.365428 data_time: 0.033187 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.915792 2023/08/08 16:18:34 - mmengine - INFO - Epoch(train) [103][400/529] lr: 5.000000e-04 eta: 5:40:05 time: 0.363084 data_time: 0.032680 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.907322 2023/08/08 16:18:38 - mmengine - INFO - Epoch(train) [103][410/529] lr: 5.000000e-04 eta: 5:40:02 time: 0.363104 data_time: 0.032894 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.849265 2023/08/08 16:18:41 - mmengine - INFO - Epoch(train) [103][420/529] lr: 5.000000e-04 eta: 5:39:58 time: 0.361117 data_time: 0.032726 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.920231 2023/08/08 16:18:45 - mmengine - INFO - Epoch(train) [103][430/529] lr: 5.000000e-04 eta: 5:39:54 time: 0.360124 data_time: 0.033166 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.902440 2023/08/08 16:18:49 - mmengine - INFO - Epoch(train) [103][440/529] lr: 5.000000e-04 eta: 5:39:51 time: 0.358745 data_time: 0.032577 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.839942 2023/08/08 16:18:52 - mmengine - INFO - Epoch(train) [103][450/529] lr: 5.000000e-04 eta: 5:39:47 time: 0.359092 data_time: 0.032676 memory: 4565 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.884990 2023/08/08 16:18:56 - mmengine - INFO - Epoch(train) [103][460/529] lr: 5.000000e-04 eta: 5:39:44 time: 0.359158 data_time: 0.032869 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.870650 2023/08/08 16:18:59 - mmengine - INFO - Epoch(train) [103][470/529] lr: 5.000000e-04 eta: 5:39:40 time: 0.360731 data_time: 0.032986 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.903311 2023/08/08 16:19:03 - mmengine - INFO - Epoch(train) [103][480/529] lr: 5.000000e-04 eta: 5:39:37 time: 0.363611 data_time: 0.036167 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.893432 2023/08/08 16:19:07 - mmengine - INFO - Epoch(train) [103][490/529] lr: 5.000000e-04 eta: 5:39:33 time: 0.371233 data_time: 0.037028 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.812899 2023/08/08 16:19:11 - mmengine - INFO - Epoch(train) [103][500/529] lr: 5.000000e-04 eta: 5:39:30 time: 0.370839 data_time: 0.037152 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.905242 2023/08/08 16:19:14 - mmengine - INFO - Epoch(train) [103][510/529] lr: 5.000000e-04 eta: 5:39:26 time: 0.370911 data_time: 0.037320 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.827827 2023/08/08 16:19:18 - mmengine - INFO - Epoch(train) [103][520/529] lr: 5.000000e-04 eta: 5:39:23 time: 0.370115 data_time: 0.037532 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.921747 2023/08/08 16:19:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:19:25 - mmengine - INFO - Epoch(train) [104][ 10/529] lr: 5.000000e-04 eta: 5:39:16 time: 0.363092 data_time: 0.036748 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.906296 2023/08/08 16:19:29 - mmengine - INFO - Epoch(train) [104][ 20/529] lr: 5.000000e-04 eta: 5:39:13 time: 0.366024 data_time: 0.037050 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.895929 2023/08/08 16:19:32 - mmengine - INFO - Epoch(train) [104][ 30/529] lr: 5.000000e-04 eta: 5:39:09 time: 0.365839 data_time: 0.036872 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.838612 2023/08/08 16:19:36 - mmengine - INFO - Epoch(train) [104][ 40/529] lr: 5.000000e-04 eta: 5:39:05 time: 0.366573 data_time: 0.036811 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.903536 2023/08/08 16:19:39 - mmengine - INFO - Epoch(train) [104][ 50/529] lr: 5.000000e-04 eta: 5:39:02 time: 0.366975 data_time: 0.037638 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.888555 2023/08/08 16:19:43 - mmengine - INFO - Epoch(train) [104][ 60/529] lr: 5.000000e-04 eta: 5:38:58 time: 0.360529 data_time: 0.033061 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.946881 2023/08/08 16:19:47 - mmengine - INFO - Epoch(train) [104][ 70/529] lr: 5.000000e-04 eta: 5:38:55 time: 0.359542 data_time: 0.032790 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.850792 2023/08/08 16:19:50 - mmengine - INFO - Epoch(train) [104][ 80/529] lr: 5.000000e-04 eta: 5:38:51 time: 0.359094 data_time: 0.032647 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.873016 2023/08/08 16:19:54 - mmengine - INFO - Epoch(train) [104][ 90/529] lr: 5.000000e-04 eta: 5:38:48 time: 0.363720 data_time: 0.032601 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.880939 2023/08/08 16:19:58 - mmengine - INFO - Epoch(train) [104][100/529] lr: 5.000000e-04 eta: 5:38:44 time: 0.371818 data_time: 0.032934 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.880185 2023/08/08 16:20:02 - mmengine - INFO - Epoch(train) [104][110/529] lr: 5.000000e-04 eta: 5:38:41 time: 0.376250 data_time: 0.033408 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.879046 2023/08/08 16:20:06 - mmengine - INFO - Epoch(train) [104][120/529] lr: 5.000000e-04 eta: 5:38:38 time: 0.384314 data_time: 0.033220 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.827232 2023/08/08 16:20:10 - mmengine - INFO - Epoch(train) [104][130/529] lr: 5.000000e-04 eta: 5:38:35 time: 0.390688 data_time: 0.033472 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.890028 2023/08/08 16:20:14 - mmengine - INFO - Epoch(train) [104][140/529] lr: 5.000000e-04 eta: 5:38:31 time: 0.389413 data_time: 0.037124 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.880848 2023/08/08 16:20:18 - mmengine - INFO - Epoch(train) [104][150/529] lr: 5.000000e-04 eta: 5:38:28 time: 0.389000 data_time: 0.036947 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.886591 2023/08/08 16:20:21 - mmengine - INFO - Epoch(train) [104][160/529] lr: 5.000000e-04 eta: 5:38:24 time: 0.386521 data_time: 0.036511 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.880023 2023/08/08 16:20:25 - mmengine - INFO - Epoch(train) [104][170/529] lr: 5.000000e-04 eta: 5:38:21 time: 0.376492 data_time: 0.036710 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.842023 2023/08/08 16:20:29 - mmengine - INFO - Epoch(train) [104][180/529] lr: 5.000000e-04 eta: 5:38:17 time: 0.377489 data_time: 0.036546 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.880897 2023/08/08 16:20:33 - mmengine - INFO - Epoch(train) [104][190/529] lr: 5.000000e-04 eta: 5:38:14 time: 0.381476 data_time: 0.033707 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.915870 2023/08/08 16:20:36 - mmengine - INFO - Epoch(train) [104][200/529] lr: 5.000000e-04 eta: 5:38:11 time: 0.376889 data_time: 0.033902 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.907100 2023/08/08 16:20:40 - mmengine - INFO - Epoch(train) [104][210/529] lr: 5.000000e-04 eta: 5:38:07 time: 0.380917 data_time: 0.034867 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.865204 2023/08/08 16:20:44 - mmengine - INFO - Epoch(train) [104][220/529] lr: 5.000000e-04 eta: 5:38:04 time: 0.381332 data_time: 0.034370 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.912841 2023/08/08 16:20:47 - mmengine - INFO - Epoch(train) [104][230/529] lr: 5.000000e-04 eta: 5:38:00 time: 0.374132 data_time: 0.034138 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.901441 2023/08/08 16:20:51 - mmengine - INFO - Epoch(train) [104][240/529] lr: 5.000000e-04 eta: 5:37:57 time: 0.369363 data_time: 0.033208 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.857234 2023/08/08 16:20:55 - mmengine - INFO - Epoch(train) [104][250/529] lr: 5.000000e-04 eta: 5:37:53 time: 0.370935 data_time: 0.033473 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.826263 2023/08/08 16:20:59 - mmengine - INFO - Epoch(train) [104][260/529] lr: 5.000000e-04 eta: 5:37:50 time: 0.365534 data_time: 0.032452 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.899258 2023/08/08 16:21:02 - mmengine - INFO - Epoch(train) [104][270/529] lr: 5.000000e-04 eta: 5:37:46 time: 0.365752 data_time: 0.032441 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.915054 2023/08/08 16:21:06 - mmengine - INFO - Epoch(train) [104][280/529] lr: 5.000000e-04 eta: 5:37:43 time: 0.367177 data_time: 0.032618 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.877736 2023/08/08 16:21:09 - mmengine - INFO - Epoch(train) [104][290/529] lr: 5.000000e-04 eta: 5:37:39 time: 0.364900 data_time: 0.032699 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.864865 2023/08/08 16:21:13 - mmengine - INFO - Epoch(train) [104][300/529] lr: 5.000000e-04 eta: 5:37:36 time: 0.364236 data_time: 0.032481 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.870563 2023/08/08 16:21:17 - mmengine - INFO - Epoch(train) [104][310/529] lr: 5.000000e-04 eta: 5:37:32 time: 0.366535 data_time: 0.032660 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.867463 2023/08/08 16:21:20 - mmengine - INFO - Epoch(train) [104][320/529] lr: 5.000000e-04 eta: 5:37:28 time: 0.365551 data_time: 0.033209 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.889267 2023/08/08 16:21:24 - mmengine - INFO - Epoch(train) [104][330/529] lr: 5.000000e-04 eta: 5:37:25 time: 0.369984 data_time: 0.037795 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.814534 2023/08/08 16:21:28 - mmengine - INFO - Epoch(train) [104][340/529] lr: 5.000000e-04 eta: 5:37:22 time: 0.370694 data_time: 0.038248 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.889094 2023/08/08 16:21:32 - mmengine - INFO - Epoch(train) [104][350/529] lr: 5.000000e-04 eta: 5:37:18 time: 0.369517 data_time: 0.037902 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.908783 2023/08/08 16:21:35 - mmengine - INFO - Epoch(train) [104][360/529] lr: 5.000000e-04 eta: 5:37:14 time: 0.365814 data_time: 0.037962 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.911415 2023/08/08 16:21:39 - mmengine - INFO - Epoch(train) [104][370/529] lr: 5.000000e-04 eta: 5:37:11 time: 0.365932 data_time: 0.037427 memory: 4565 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.853783 2023/08/08 16:21:42 - mmengine - INFO - Epoch(train) [104][380/529] lr: 5.000000e-04 eta: 5:37:07 time: 0.362094 data_time: 0.033630 memory: 4565 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.885070 2023/08/08 16:21:46 - mmengine - INFO - Epoch(train) [104][390/529] lr: 5.000000e-04 eta: 5:37:04 time: 0.363795 data_time: 0.033691 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.899544 2023/08/08 16:21:50 - mmengine - INFO - Epoch(train) [104][400/529] lr: 5.000000e-04 eta: 5:37:00 time: 0.364491 data_time: 0.033837 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.869799 2023/08/08 16:21:54 - mmengine - INFO - Epoch(train) [104][410/529] lr: 5.000000e-04 eta: 5:36:57 time: 0.369693 data_time: 0.033761 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.891955 2023/08/08 16:21:57 - mmengine - INFO - Epoch(train) [104][420/529] lr: 5.000000e-04 eta: 5:36:53 time: 0.371017 data_time: 0.034324 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.791606 2023/08/08 16:22:01 - mmengine - INFO - Epoch(train) [104][430/529] lr: 5.000000e-04 eta: 5:36:50 time: 0.369263 data_time: 0.033727 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.869089 2023/08/08 16:22:05 - mmengine - INFO - Epoch(train) [104][440/529] lr: 5.000000e-04 eta: 5:36:46 time: 0.368084 data_time: 0.033370 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.879844 2023/08/08 16:22:08 - mmengine - INFO - Epoch(train) [104][450/529] lr: 5.000000e-04 eta: 5:36:43 time: 0.367261 data_time: 0.033588 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.882018 2023/08/08 16:22:12 - mmengine - INFO - Epoch(train) [104][460/529] lr: 5.000000e-04 eta: 5:36:39 time: 0.364399 data_time: 0.033955 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.852544 2023/08/08 16:22:15 - mmengine - INFO - Epoch(train) [104][470/529] lr: 5.000000e-04 eta: 5:36:35 time: 0.361779 data_time: 0.033320 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.894476 2023/08/08 16:22:19 - mmengine - INFO - Epoch(train) [104][480/529] lr: 5.000000e-04 eta: 5:36:32 time: 0.367915 data_time: 0.032714 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.895400 2023/08/08 16:22:23 - mmengine - INFO - Epoch(train) [104][490/529] lr: 5.000000e-04 eta: 5:36:29 time: 0.373620 data_time: 0.032772 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.909674 2023/08/08 16:22:27 - mmengine - INFO - Epoch(train) [104][500/529] lr: 5.000000e-04 eta: 5:36:26 time: 0.374938 data_time: 0.032537 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.882847 2023/08/08 16:22:31 - mmengine - INFO - Epoch(train) [104][510/529] lr: 5.000000e-04 eta: 5:36:22 time: 0.374546 data_time: 0.032316 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.932159 2023/08/08 16:22:32 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:22:34 - mmengine - INFO - Epoch(train) [104][520/529] lr: 5.000000e-04 eta: 5:36:19 time: 0.381273 data_time: 0.036607 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.842389 2023/08/08 16:22:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:22:42 - mmengine - INFO - Epoch(train) [105][ 10/529] lr: 5.000000e-04 eta: 5:36:12 time: 0.378952 data_time: 0.040310 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.855540 2023/08/08 16:22:46 - mmengine - INFO - Epoch(train) [105][ 20/529] lr: 5.000000e-04 eta: 5:36:09 time: 0.378502 data_time: 0.040224 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.879742 2023/08/08 16:22:49 - mmengine - INFO - Epoch(train) [105][ 30/529] lr: 5.000000e-04 eta: 5:36:05 time: 0.377453 data_time: 0.040187 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.862725 2023/08/08 16:22:53 - mmengine - INFO - Epoch(train) [105][ 40/529] lr: 5.000000e-04 eta: 5:36:01 time: 0.369963 data_time: 0.035839 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.913376 2023/08/08 16:22:56 - mmengine - INFO - Epoch(train) [105][ 50/529] lr: 5.000000e-04 eta: 5:35:58 time: 0.371902 data_time: 0.036246 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.900888 2023/08/08 16:23:00 - mmengine - INFO - Epoch(train) [105][ 60/529] lr: 5.000000e-04 eta: 5:35:54 time: 0.358563 data_time: 0.031902 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.874092 2023/08/08 16:23:03 - mmengine - INFO - Epoch(train) [105][ 70/529] lr: 5.000000e-04 eta: 5:35:51 time: 0.356165 data_time: 0.032551 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.885586 2023/08/08 16:23:07 - mmengine - INFO - Epoch(train) [105][ 80/529] lr: 5.000000e-04 eta: 5:35:47 time: 0.355187 data_time: 0.032217 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.916945 2023/08/08 16:23:10 - mmengine - INFO - Epoch(train) [105][ 90/529] lr: 5.000000e-04 eta: 5:35:43 time: 0.354855 data_time: 0.032375 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.878321 2023/08/08 16:23:14 - mmengine - INFO - Epoch(train) [105][100/529] lr: 5.000000e-04 eta: 5:35:40 time: 0.351228 data_time: 0.032179 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.861085 2023/08/08 16:23:17 - mmengine - INFO - Epoch(train) [105][110/529] lr: 5.000000e-04 eta: 5:35:36 time: 0.351619 data_time: 0.032673 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.879955 2023/08/08 16:23:21 - mmengine - INFO - Epoch(train) [105][120/529] lr: 5.000000e-04 eta: 5:35:32 time: 0.351386 data_time: 0.032805 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.926307 2023/08/08 16:23:25 - mmengine - INFO - Epoch(train) [105][130/529] lr: 5.000000e-04 eta: 5:35:29 time: 0.353128 data_time: 0.033269 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.850505 2023/08/08 16:23:28 - mmengine - INFO - Epoch(train) [105][140/529] lr: 5.000000e-04 eta: 5:35:25 time: 0.355070 data_time: 0.033091 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.867096 2023/08/08 16:23:32 - mmengine - INFO - Epoch(train) [105][150/529] lr: 5.000000e-04 eta: 5:35:21 time: 0.358086 data_time: 0.033782 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.867138 2023/08/08 16:23:36 - mmengine - INFO - Epoch(train) [105][160/529] lr: 5.000000e-04 eta: 5:35:18 time: 0.365612 data_time: 0.037339 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.896141 2023/08/08 16:23:39 - mmengine - INFO - Epoch(train) [105][170/529] lr: 5.000000e-04 eta: 5:35:15 time: 0.365262 data_time: 0.036576 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.866816 2023/08/08 16:23:43 - mmengine - INFO - Epoch(train) [105][180/529] lr: 5.000000e-04 eta: 5:35:11 time: 0.365847 data_time: 0.036280 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.848125 2023/08/08 16:23:46 - mmengine - INFO - Epoch(train) [105][190/529] lr: 5.000000e-04 eta: 5:35:07 time: 0.366207 data_time: 0.036454 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.839645 2023/08/08 16:23:50 - mmengine - INFO - Epoch(train) [105][200/529] lr: 5.000000e-04 eta: 5:35:04 time: 0.366954 data_time: 0.036190 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.874812 2023/08/08 16:23:54 - mmengine - INFO - Epoch(train) [105][210/529] lr: 5.000000e-04 eta: 5:35:00 time: 0.360831 data_time: 0.033145 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.892754 2023/08/08 16:23:58 - mmengine - INFO - Epoch(train) [105][220/529] lr: 5.000000e-04 eta: 5:34:57 time: 0.364734 data_time: 0.033956 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.820458 2023/08/08 16:24:01 - mmengine - INFO - Epoch(train) [105][230/529] lr: 5.000000e-04 eta: 5:34:53 time: 0.364797 data_time: 0.033961 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.873579 2023/08/08 16:24:05 - mmengine - INFO - Epoch(train) [105][240/529] lr: 5.000000e-04 eta: 5:34:50 time: 0.366760 data_time: 0.034527 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.881254 2023/08/08 16:24:09 - mmengine - INFO - Epoch(train) [105][250/529] lr: 5.000000e-04 eta: 5:34:46 time: 0.368972 data_time: 0.034733 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.869994 2023/08/08 16:24:12 - mmengine - INFO - Epoch(train) [105][260/529] lr: 5.000000e-04 eta: 5:34:43 time: 0.371418 data_time: 0.033568 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.845631 2023/08/08 16:24:16 - mmengine - INFO - Epoch(train) [105][270/529] lr: 5.000000e-04 eta: 5:34:39 time: 0.372482 data_time: 0.032778 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.868485 2023/08/08 16:24:20 - mmengine - INFO - Epoch(train) [105][280/529] lr: 5.000000e-04 eta: 5:34:36 time: 0.378916 data_time: 0.033466 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.854155 2023/08/08 16:24:24 - mmengine - INFO - Epoch(train) [105][290/529] lr: 5.000000e-04 eta: 5:34:33 time: 0.378004 data_time: 0.033260 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.916569 2023/08/08 16:24:27 - mmengine - INFO - Epoch(train) [105][300/529] lr: 5.000000e-04 eta: 5:34:29 time: 0.376178 data_time: 0.032912 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.870037 2023/08/08 16:24:31 - mmengine - INFO - Epoch(train) [105][310/529] lr: 5.000000e-04 eta: 5:34:26 time: 0.377937 data_time: 0.034276 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.803204 2023/08/08 16:24:35 - mmengine - INFO - Epoch(train) [105][320/529] lr: 5.000000e-04 eta: 5:34:22 time: 0.376519 data_time: 0.035595 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.887029 2023/08/08 16:24:39 - mmengine - INFO - Epoch(train) [105][330/529] lr: 5.000000e-04 eta: 5:34:19 time: 0.373246 data_time: 0.036905 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.909312 2023/08/08 16:24:43 - mmengine - INFO - Epoch(train) [105][340/529] lr: 5.000000e-04 eta: 5:34:16 time: 0.379284 data_time: 0.040619 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.856508 2023/08/08 16:24:46 - mmengine - INFO - Epoch(train) [105][350/529] lr: 5.000000e-04 eta: 5:34:12 time: 0.375628 data_time: 0.041037 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.892388 2023/08/08 16:24:50 - mmengine - INFO - Epoch(train) [105][360/529] lr: 5.000000e-04 eta: 5:34:08 time: 0.373863 data_time: 0.040642 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.903605 2023/08/08 16:24:54 - mmengine - INFO - Epoch(train) [105][370/529] lr: 5.000000e-04 eta: 5:34:05 time: 0.370733 data_time: 0.039502 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.875342 2023/08/08 16:24:57 - mmengine - INFO - Epoch(train) [105][380/529] lr: 5.000000e-04 eta: 5:34:01 time: 0.366275 data_time: 0.038082 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.863717 2023/08/08 16:25:01 - mmengine - INFO - Epoch(train) [105][390/529] lr: 5.000000e-04 eta: 5:33:58 time: 0.363696 data_time: 0.034857 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.844974 2023/08/08 16:25:05 - mmengine - INFO - Epoch(train) [105][400/529] lr: 5.000000e-04 eta: 5:33:55 time: 0.372362 data_time: 0.034879 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.851696 2023/08/08 16:25:08 - mmengine - INFO - Epoch(train) [105][410/529] lr: 5.000000e-04 eta: 5:33:51 time: 0.370345 data_time: 0.034459 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.874894 2023/08/08 16:25:12 - mmengine - INFO - Epoch(train) [105][420/529] lr: 5.000000e-04 eta: 5:33:47 time: 0.370047 data_time: 0.034629 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.894285 2023/08/08 16:25:16 - mmengine - INFO - Epoch(train) [105][430/529] lr: 5.000000e-04 eta: 5:33:44 time: 0.372336 data_time: 0.034856 memory: 4565 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.878499 2023/08/08 16:25:19 - mmengine - INFO - Epoch(train) [105][440/529] lr: 5.000000e-04 eta: 5:33:40 time: 0.366321 data_time: 0.034526 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.915032 2023/08/08 16:25:23 - mmengine - INFO - Epoch(train) [105][450/529] lr: 5.000000e-04 eta: 5:33:37 time: 0.359353 data_time: 0.034149 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.889366 2023/08/08 16:25:26 - mmengine - INFO - Epoch(train) [105][460/529] lr: 5.000000e-04 eta: 5:33:33 time: 0.357216 data_time: 0.033734 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.908269 2023/08/08 16:25:30 - mmengine - INFO - Epoch(train) [105][470/529] lr: 5.000000e-04 eta: 5:33:29 time: 0.358842 data_time: 0.033885 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.857511 2023/08/08 16:25:34 - mmengine - INFO - Epoch(train) [105][480/529] lr: 5.000000e-04 eta: 5:33:26 time: 0.355709 data_time: 0.033462 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.868349 2023/08/08 16:25:37 - mmengine - INFO - Epoch(train) [105][490/529] lr: 5.000000e-04 eta: 5:33:22 time: 0.358472 data_time: 0.033436 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.886794 2023/08/08 16:25:41 - mmengine - INFO - Epoch(train) [105][500/529] lr: 5.000000e-04 eta: 5:33:18 time: 0.355382 data_time: 0.033235 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.886438 2023/08/08 16:25:44 - mmengine - INFO - Epoch(train) [105][510/529] lr: 5.000000e-04 eta: 5:33:15 time: 0.356002 data_time: 0.033793 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.913104 2023/08/08 16:25:48 - mmengine - INFO - Epoch(train) [105][520/529] lr: 5.000000e-04 eta: 5:33:11 time: 0.352081 data_time: 0.033270 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.897208 2023/08/08 16:25:51 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:25:55 - mmengine - INFO - Epoch(train) [106][ 10/529] lr: 5.000000e-04 eta: 5:33:04 time: 0.358004 data_time: 0.039910 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.850671 2023/08/08 16:25:58 - mmengine - INFO - Epoch(train) [106][ 20/529] lr: 5.000000e-04 eta: 5:33:01 time: 0.362592 data_time: 0.041291 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.909234 2023/08/08 16:26:02 - mmengine - INFO - Epoch(train) [106][ 30/529] lr: 5.000000e-04 eta: 5:32:57 time: 0.366821 data_time: 0.041873 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.911802 2023/08/08 16:26:06 - mmengine - INFO - Epoch(train) [106][ 40/529] lr: 5.000000e-04 eta: 5:32:54 time: 0.372486 data_time: 0.042174 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.873847 2023/08/08 16:26:09 - mmengine - INFO - Epoch(train) [106][ 50/529] lr: 5.000000e-04 eta: 5:32:50 time: 0.373885 data_time: 0.042480 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.906965 2023/08/08 16:26:13 - mmengine - INFO - Epoch(train) [106][ 60/529] lr: 5.000000e-04 eta: 5:32:47 time: 0.367709 data_time: 0.034855 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.917414 2023/08/08 16:26:17 - mmengine - INFO - Epoch(train) [106][ 70/529] lr: 5.000000e-04 eta: 5:32:43 time: 0.368253 data_time: 0.033777 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.868996 2023/08/08 16:26:21 - mmengine - INFO - Epoch(train) [106][ 80/529] lr: 5.000000e-04 eta: 5:32:40 time: 0.368640 data_time: 0.033125 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.917188 2023/08/08 16:26:25 - mmengine - INFO - Epoch(train) [106][ 90/529] lr: 5.000000e-04 eta: 5:32:37 time: 0.372538 data_time: 0.033158 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.883693 2023/08/08 16:26:28 - mmengine - INFO - Epoch(train) [106][100/529] lr: 5.000000e-04 eta: 5:32:33 time: 0.380729 data_time: 0.033466 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.893588 2023/08/08 16:26:32 - mmengine - INFO - Epoch(train) [106][110/529] lr: 5.000000e-04 eta: 5:32:30 time: 0.386036 data_time: 0.033384 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.821881 2023/08/08 16:26:36 - mmengine - INFO - Epoch(train) [106][120/529] lr: 5.000000e-04 eta: 5:32:27 time: 0.390360 data_time: 0.033148 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.859119 2023/08/08 16:26:40 - mmengine - INFO - Epoch(train) [106][130/529] lr: 5.000000e-04 eta: 5:32:24 time: 0.394413 data_time: 0.033235 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.892688 2023/08/08 16:26:44 - mmengine - INFO - Epoch(train) [106][140/529] lr: 5.000000e-04 eta: 5:32:20 time: 0.389923 data_time: 0.033523 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.939564 2023/08/08 16:26:48 - mmengine - INFO - Epoch(train) [106][150/529] lr: 5.000000e-04 eta: 5:32:17 time: 0.384246 data_time: 0.033256 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.924255 2023/08/08 16:26:51 - mmengine - INFO - Epoch(train) [106][160/529] lr: 5.000000e-04 eta: 5:32:13 time: 0.377578 data_time: 0.033026 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.826426 2023/08/08 16:26:55 - mmengine - INFO - Epoch(train) [106][170/529] lr: 5.000000e-04 eta: 5:32:10 time: 0.374960 data_time: 0.033326 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.844675 2023/08/08 16:26:59 - mmengine - INFO - Epoch(train) [106][180/529] lr: 5.000000e-04 eta: 5:32:06 time: 0.377558 data_time: 0.033188 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.896385 2023/08/08 16:27:03 - mmengine - INFO - Epoch(train) [106][190/529] lr: 5.000000e-04 eta: 5:32:03 time: 0.375103 data_time: 0.032516 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.911685 2023/08/08 16:27:07 - mmengine - INFO - Epoch(train) [106][200/529] lr: 5.000000e-04 eta: 5:32:00 time: 0.382243 data_time: 0.032568 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.907232 2023/08/08 16:27:11 - mmengine - INFO - Epoch(train) [106][210/529] lr: 5.000000e-04 eta: 5:31:56 time: 0.383814 data_time: 0.032918 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.860284 2023/08/08 16:27:15 - mmengine - INFO - Epoch(train) [106][220/529] lr: 5.000000e-04 eta: 5:31:53 time: 0.391131 data_time: 0.032665 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.890633 2023/08/08 16:27:19 - mmengine - INFO - Epoch(train) [106][230/529] lr: 5.000000e-04 eta: 5:31:50 time: 0.387840 data_time: 0.032749 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.919733 2023/08/08 16:27:23 - mmengine - INFO - Epoch(train) [106][240/529] lr: 5.000000e-04 eta: 5:31:47 time: 0.393993 data_time: 0.033053 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.778155 2023/08/08 16:27:26 - mmengine - INFO - Epoch(train) [106][250/529] lr: 5.000000e-04 eta: 5:31:43 time: 0.386653 data_time: 0.033847 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.895328 2023/08/08 16:27:30 - mmengine - INFO - Epoch(train) [106][260/529] lr: 5.000000e-04 eta: 5:31:39 time: 0.386825 data_time: 0.034112 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.896870 2023/08/08 16:27:34 - mmengine - INFO - Epoch(train) [106][270/529] lr: 5.000000e-04 eta: 5:31:36 time: 0.377647 data_time: 0.034006 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.889782 2023/08/08 16:27:37 - mmengine - INFO - Epoch(train) [106][280/529] lr: 5.000000e-04 eta: 5:31:33 time: 0.375565 data_time: 0.034545 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.876493 2023/08/08 16:27:41 - mmengine - INFO - Epoch(train) [106][290/529] lr: 5.000000e-04 eta: 5:31:29 time: 0.368980 data_time: 0.034337 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.900716 2023/08/08 16:27:45 - mmengine - INFO - Epoch(train) [106][300/529] lr: 5.000000e-04 eta: 5:31:25 time: 0.368404 data_time: 0.033920 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.879017 2023/08/08 16:27:48 - mmengine - INFO - Epoch(train) [106][310/529] lr: 5.000000e-04 eta: 5:31:22 time: 0.366491 data_time: 0.033779 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.898195 2023/08/08 16:27:52 - mmengine - INFO - Epoch(train) [106][320/529] lr: 5.000000e-04 eta: 5:31:18 time: 0.365645 data_time: 0.034377 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.846340 2023/08/08 16:27:56 - mmengine - INFO - Epoch(train) [106][330/529] lr: 5.000000e-04 eta: 5:31:15 time: 0.365755 data_time: 0.033793 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.851215 2023/08/08 16:27:59 - mmengine - INFO - Epoch(train) [106][340/529] lr: 5.000000e-04 eta: 5:31:11 time: 0.365813 data_time: 0.033642 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.932051 2023/08/08 16:28:03 - mmengine - INFO - Epoch(train) [106][350/529] lr: 5.000000e-04 eta: 5:31:08 time: 0.364690 data_time: 0.033047 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.909644 2023/08/08 16:28:07 - mmengine - INFO - Epoch(train) [106][360/529] lr: 5.000000e-04 eta: 5:31:04 time: 0.365820 data_time: 0.032553 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.951613 2023/08/08 16:28:10 - mmengine - INFO - Epoch(train) [106][370/529] lr: 5.000000e-04 eta: 5:31:01 time: 0.364904 data_time: 0.031719 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.908427 2023/08/08 16:28:14 - mmengine - INFO - Epoch(train) [106][380/529] lr: 5.000000e-04 eta: 5:30:57 time: 0.360891 data_time: 0.031549 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.909593 2023/08/08 16:28:17 - mmengine - INFO - Epoch(train) [106][390/529] lr: 5.000000e-04 eta: 5:30:53 time: 0.362005 data_time: 0.031839 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.889297 2023/08/08 16:28:21 - mmengine - INFO - Epoch(train) [106][400/529] lr: 5.000000e-04 eta: 5:30:50 time: 0.362002 data_time: 0.031968 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.891297 2023/08/08 16:28:25 - mmengine - INFO - Epoch(train) [106][410/529] lr: 5.000000e-04 eta: 5:30:46 time: 0.360906 data_time: 0.032060 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.844392 2023/08/08 16:28:28 - mmengine - INFO - Epoch(train) [106][420/529] lr: 5.000000e-04 eta: 5:30:42 time: 0.359066 data_time: 0.031989 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.861363 2023/08/08 16:28:32 - mmengine - INFO - Epoch(train) [106][430/529] lr: 5.000000e-04 eta: 5:30:39 time: 0.358244 data_time: 0.031831 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.934261 2023/08/08 16:28:35 - mmengine - INFO - Epoch(train) [106][440/529] lr: 5.000000e-04 eta: 5:30:35 time: 0.360745 data_time: 0.031648 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.863177 2023/08/08 16:28:39 - mmengine - INFO - Epoch(train) [106][450/529] lr: 5.000000e-04 eta: 5:30:32 time: 0.363703 data_time: 0.031902 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.910871 2023/08/08 16:28:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:28:43 - mmengine - INFO - Epoch(train) [106][460/529] lr: 5.000000e-04 eta: 5:30:28 time: 0.362999 data_time: 0.031896 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.894424 2023/08/08 16:28:46 - mmengine - INFO - Epoch(train) [106][470/529] lr: 5.000000e-04 eta: 5:30:25 time: 0.364644 data_time: 0.032472 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.864859 2023/08/08 16:28:50 - mmengine - INFO - Epoch(train) [106][480/529] lr: 5.000000e-04 eta: 5:30:21 time: 0.367777 data_time: 0.036517 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.838848 2023/08/08 16:28:54 - mmengine - INFO - Epoch(train) [106][490/529] lr: 5.000000e-04 eta: 5:30:18 time: 0.365423 data_time: 0.036816 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.880073 2023/08/08 16:28:57 - mmengine - INFO - Epoch(train) [106][500/529] lr: 5.000000e-04 eta: 5:30:14 time: 0.363895 data_time: 0.036985 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.872900 2023/08/08 16:29:01 - mmengine - INFO - Epoch(train) [106][510/529] lr: 5.000000e-04 eta: 5:30:11 time: 0.364747 data_time: 0.037253 memory: 4565 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.838278 2023/08/08 16:29:05 - mmengine - INFO - Epoch(train) [106][520/529] lr: 5.000000e-04 eta: 5:30:07 time: 0.364566 data_time: 0.037293 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.879336 2023/08/08 16:29:08 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:29:12 - mmengine - INFO - Epoch(train) [107][ 10/529] lr: 5.000000e-04 eta: 5:30:00 time: 0.364903 data_time: 0.036743 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.922169 2023/08/08 16:29:15 - mmengine - INFO - Epoch(train) [107][ 20/529] lr: 5.000000e-04 eta: 5:29:57 time: 0.363176 data_time: 0.036540 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.847552 2023/08/08 16:29:19 - mmengine - INFO - Epoch(train) [107][ 30/529] lr: 5.000000e-04 eta: 5:29:53 time: 0.362366 data_time: 0.036679 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.861916 2023/08/08 16:29:22 - mmengine - INFO - Epoch(train) [107][ 40/529] lr: 5.000000e-04 eta: 5:29:49 time: 0.363113 data_time: 0.036532 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.858069 2023/08/08 16:29:26 - mmengine - INFO - Epoch(train) [107][ 50/529] lr: 5.000000e-04 eta: 5:29:46 time: 0.364516 data_time: 0.037043 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.864600 2023/08/08 16:29:29 - mmengine - INFO - Epoch(train) [107][ 60/529] lr: 5.000000e-04 eta: 5:29:42 time: 0.357233 data_time: 0.033172 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.818523 2023/08/08 16:29:33 - mmengine - INFO - Epoch(train) [107][ 70/529] lr: 5.000000e-04 eta: 5:29:39 time: 0.358213 data_time: 0.033052 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.903774 2023/08/08 16:29:37 - mmengine - INFO - Epoch(train) [107][ 80/529] lr: 5.000000e-04 eta: 5:29:35 time: 0.356231 data_time: 0.032618 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.769409 2023/08/08 16:29:40 - mmengine - INFO - Epoch(train) [107][ 90/529] lr: 5.000000e-04 eta: 5:29:31 time: 0.354055 data_time: 0.032340 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.841913 2023/08/08 16:29:44 - mmengine - INFO - Epoch(train) [107][100/529] lr: 5.000000e-04 eta: 5:29:27 time: 0.352775 data_time: 0.032148 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.937548 2023/08/08 16:29:47 - mmengine - INFO - Epoch(train) [107][110/529] lr: 5.000000e-04 eta: 5:29:24 time: 0.352756 data_time: 0.031801 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.917057 2023/08/08 16:29:51 - mmengine - INFO - Epoch(train) [107][120/529] lr: 5.000000e-04 eta: 5:29:20 time: 0.354436 data_time: 0.032503 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.903591 2023/08/08 16:29:54 - mmengine - INFO - Epoch(train) [107][130/529] lr: 5.000000e-04 eta: 5:29:17 time: 0.357173 data_time: 0.036027 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.852861 2023/08/08 16:29:58 - mmengine - INFO - Epoch(train) [107][140/529] lr: 5.000000e-04 eta: 5:29:13 time: 0.356131 data_time: 0.035816 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.920192 2023/08/08 16:30:01 - mmengine - INFO - Epoch(train) [107][150/529] lr: 5.000000e-04 eta: 5:29:09 time: 0.357296 data_time: 0.035777 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.910482 2023/08/08 16:30:05 - mmengine - INFO - Epoch(train) [107][160/529] lr: 5.000000e-04 eta: 5:29:06 time: 0.357811 data_time: 0.036540 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.883367 2023/08/08 16:30:09 - mmengine - INFO - Epoch(train) [107][170/529] lr: 5.000000e-04 eta: 5:29:02 time: 0.358466 data_time: 0.036102 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.850839 2023/08/08 16:30:12 - mmengine - INFO - Epoch(train) [107][180/529] lr: 5.000000e-04 eta: 5:28:59 time: 0.359721 data_time: 0.032890 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.934968 2023/08/08 16:30:16 - mmengine - INFO - Epoch(train) [107][190/529] lr: 5.000000e-04 eta: 5:28:55 time: 0.366411 data_time: 0.033991 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.893157 2023/08/08 16:30:20 - mmengine - INFO - Epoch(train) [107][200/529] lr: 5.000000e-04 eta: 5:28:52 time: 0.364841 data_time: 0.034132 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.910861 2023/08/08 16:30:23 - mmengine - INFO - Epoch(train) [107][210/529] lr: 5.000000e-04 eta: 5:28:48 time: 0.366893 data_time: 0.033273 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.906095 2023/08/08 16:30:27 - mmengine - INFO - Epoch(train) [107][220/529] lr: 5.000000e-04 eta: 5:28:45 time: 0.365578 data_time: 0.033154 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.882839 2023/08/08 16:30:31 - mmengine - INFO - Epoch(train) [107][230/529] lr: 5.000000e-04 eta: 5:28:41 time: 0.363327 data_time: 0.033067 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.898296 2023/08/08 16:30:34 - mmengine - INFO - Epoch(train) [107][240/529] lr: 5.000000e-04 eta: 5:28:37 time: 0.359248 data_time: 0.032724 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.802768 2023/08/08 16:30:38 - mmengine - INFO - Epoch(train) [107][250/529] lr: 5.000000e-04 eta: 5:28:34 time: 0.359116 data_time: 0.032463 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.885696 2023/08/08 16:30:41 - mmengine - INFO - Epoch(train) [107][260/529] lr: 5.000000e-04 eta: 5:28:30 time: 0.355158 data_time: 0.032312 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.862985 2023/08/08 16:30:45 - mmengine - INFO - Epoch(train) [107][270/529] lr: 5.000000e-04 eta: 5:28:26 time: 0.352335 data_time: 0.031915 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.881879 2023/08/08 16:30:48 - mmengine - INFO - Epoch(train) [107][280/529] lr: 5.000000e-04 eta: 5:28:22 time: 0.350989 data_time: 0.031430 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.918406 2023/08/08 16:30:52 - mmengine - INFO - Epoch(train) [107][290/529] lr: 5.000000e-04 eta: 5:28:19 time: 0.354188 data_time: 0.034639 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.898607 2023/08/08 16:30:55 - mmengine - INFO - Epoch(train) [107][300/529] lr: 5.000000e-04 eta: 5:28:15 time: 0.355284 data_time: 0.034749 memory: 4565 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.871020 2023/08/08 16:30:59 - mmengine - INFO - Epoch(train) [107][310/529] lr: 5.000000e-04 eta: 5:28:12 time: 0.356597 data_time: 0.035474 memory: 4565 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.849949 2023/08/08 16:31:03 - mmengine - INFO - Epoch(train) [107][320/529] lr: 5.000000e-04 eta: 5:28:08 time: 0.357485 data_time: 0.035579 memory: 4565 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.910865 2023/08/08 16:31:06 - mmengine - INFO - Epoch(train) [107][330/529] lr: 5.000000e-04 eta: 5:28:04 time: 0.357260 data_time: 0.035593 memory: 4565 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.872003 2023/08/08 16:31:10 - mmengine - INFO - Epoch(train) [107][340/529] lr: 5.000000e-04 eta: 5:28:01 time: 0.352410 data_time: 0.031761 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.882882 2023/08/08 16:31:13 - mmengine - INFO - Epoch(train) [107][350/529] lr: 5.000000e-04 eta: 5:27:57 time: 0.352783 data_time: 0.031884 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.879819 2023/08/08 16:31:17 - mmengine - INFO - Epoch(train) [107][360/529] lr: 5.000000e-04 eta: 5:27:53 time: 0.355410 data_time: 0.031257 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.834822 2023/08/08 16:31:21 - mmengine - INFO - Epoch(train) [107][370/529] lr: 5.000000e-04 eta: 5:27:50 time: 0.359467 data_time: 0.031549 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.889215 2023/08/08 16:31:24 - mmengine - INFO - Epoch(train) [107][380/529] lr: 5.000000e-04 eta: 5:27:46 time: 0.358306 data_time: 0.031580 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.879028 2023/08/08 16:31:27 - mmengine - INFO - Epoch(train) [107][390/529] lr: 5.000000e-04 eta: 5:27:43 time: 0.357343 data_time: 0.031556 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.877052 2023/08/08 16:31:31 - mmengine - INFO - Epoch(train) [107][400/529] lr: 5.000000e-04 eta: 5:27:39 time: 0.355691 data_time: 0.031614 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.847051 2023/08/08 16:31:34 - mmengine - INFO - Epoch(train) [107][410/529] lr: 5.000000e-04 eta: 5:27:35 time: 0.352877 data_time: 0.031801 memory: 4565 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.901258 2023/08/08 16:31:38 - mmengine - INFO - Epoch(train) [107][420/529] lr: 5.000000e-04 eta: 5:27:31 time: 0.348620 data_time: 0.032045 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.891404 2023/08/08 16:31:42 - mmengine - INFO - Epoch(train) [107][430/529] lr: 5.000000e-04 eta: 5:27:28 time: 0.352884 data_time: 0.032622 memory: 4565 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.870825 2023/08/08 16:31:45 - mmengine - INFO - Epoch(train) [107][440/529] lr: 5.000000e-04 eta: 5:27:24 time: 0.357688 data_time: 0.037316 memory: 4565 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.869788 2023/08/08 16:31:49 - mmengine - INFO - Epoch(train) [107][450/529] lr: 5.000000e-04 eta: 5:27:21 time: 0.364940 data_time: 0.037350 memory: 4565 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.897055 2023/08/08 16:31:53 - mmengine - INFO - Epoch(train) [107][460/529] lr: 5.000000e-04 eta: 5:27:18 time: 0.373546 data_time: 0.037163 memory: 4565 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.889357 2023/08/08 16:31:57 - mmengine - INFO - Epoch(train) [107][470/529] lr: 5.000000e-04 eta: 5:27:14 time: 0.373707 data_time: 0.036680 memory: 4565 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.860748 2023/08/08 16:32:00 - mmengine - INFO - Epoch(train) [107][480/529] lr: 5.000000e-04 eta: 5:27:11 time: 0.372768 data_time: 0.037951 memory: 4565 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.879498 2023/08/08 16:32:04 - mmengine - INFO - Epoch(train) [107][490/529] lr: 5.000000e-04 eta: 5:27:07 time: 0.376895 data_time: 0.033664 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.914217 2023/08/08 16:32:08 - mmengine - INFO - Epoch(train) [107][500/529] lr: 5.000000e-04 eta: 5:27:04 time: 0.374988 data_time: 0.034043 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.916698 2023/08/08 16:32:12 - mmengine - INFO - Epoch(train) [107][510/529] lr: 5.000000e-04 eta: 5:27:00 time: 0.371122 data_time: 0.034463 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.880797 2023/08/08 16:32:15 - mmengine - INFO - Epoch(train) [107][520/529] lr: 5.000000e-04 eta: 5:26:57 time: 0.371045 data_time: 0.034574 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.920808 2023/08/08 16:32:19 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:32:22 - mmengine - INFO - Epoch(train) [108][ 10/529] lr: 5.000000e-04 eta: 5:26:50 time: 0.373247 data_time: 0.037732 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.859151 2023/08/08 16:32:26 - mmengine - INFO - Epoch(train) [108][ 20/529] lr: 5.000000e-04 eta: 5:26:47 time: 0.370644 data_time: 0.037279 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.822556 2023/08/08 16:32:30 - mmengine - INFO - Epoch(train) [108][ 30/529] lr: 5.000000e-04 eta: 5:26:43 time: 0.370325 data_time: 0.037513 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.885962 2023/08/08 16:32:33 - mmengine - INFO - Epoch(train) [108][ 40/529] lr: 5.000000e-04 eta: 5:26:39 time: 0.369863 data_time: 0.037512 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.908771 2023/08/08 16:32:37 - mmengine - INFO - Epoch(train) [108][ 50/529] lr: 5.000000e-04 eta: 5:26:36 time: 0.366260 data_time: 0.037250 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.849193 2023/08/08 16:32:41 - mmengine - INFO - Epoch(train) [108][ 60/529] lr: 5.000000e-04 eta: 5:26:32 time: 0.360493 data_time: 0.032008 memory: 4565 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.864282 2023/08/08 16:32:44 - mmengine - INFO - Epoch(train) [108][ 70/529] lr: 5.000000e-04 eta: 5:26:29 time: 0.360054 data_time: 0.031911 memory: 4565 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.859561 2023/08/08 16:32:48 - mmengine - INFO - Epoch(train) [108][ 80/529] lr: 5.000000e-04 eta: 5:26:25 time: 0.358233 data_time: 0.031470 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.913246 2023/08/08 16:32:51 - mmengine - INFO - Epoch(train) [108][ 90/529] lr: 5.000000e-04 eta: 5:26:21 time: 0.359285 data_time: 0.031806 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.913262 2023/08/08 16:32:55 - mmengine - INFO - Epoch(train) [108][100/529] lr: 5.000000e-04 eta: 5:26:18 time: 0.359156 data_time: 0.032084 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.839403 2023/08/08 16:32:58 - mmengine - INFO - Epoch(train) [108][110/529] lr: 5.000000e-04 eta: 5:26:14 time: 0.355974 data_time: 0.032194 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.916124 2023/08/08 16:33:02 - mmengine - INFO - Epoch(train) [108][120/529] lr: 5.000000e-04 eta: 5:26:10 time: 0.352925 data_time: 0.032137 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.893821 2023/08/08 16:33:06 - mmengine - INFO - Epoch(train) [108][130/529] lr: 5.000000e-04 eta: 5:26:07 time: 0.355482 data_time: 0.031905 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.855442 2023/08/08 16:33:10 - mmengine - INFO - Epoch(train) [108][140/529] lr: 5.000000e-04 eta: 5:26:04 time: 0.363895 data_time: 0.032013 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.917513 2023/08/08 16:33:14 - mmengine - INFO - Epoch(train) [108][150/529] lr: 5.000000e-04 eta: 5:26:00 time: 0.373184 data_time: 0.032743 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.893452 2023/08/08 16:33:17 - mmengine - INFO - Epoch(train) [108][160/529] lr: 5.000000e-04 eta: 5:25:57 time: 0.373173 data_time: 0.032919 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.910729 2023/08/08 16:33:20 - mmengine - INFO - Epoch(train) [108][170/529] lr: 5.000000e-04 eta: 5:25:53 time: 0.372659 data_time: 0.033047 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.868125 2023/08/08 16:33:24 - mmengine - INFO - Epoch(train) [108][180/529] lr: 5.000000e-04 eta: 5:25:49 time: 0.365423 data_time: 0.033202 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.871990 2023/08/08 16:33:27 - mmengine - INFO - Epoch(train) [108][190/529] lr: 5.000000e-04 eta: 5:25:45 time: 0.354744 data_time: 0.032595 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.862751 2023/08/08 16:33:31 - mmengine - INFO - Epoch(train) [108][200/529] lr: 5.000000e-04 eta: 5:25:42 time: 0.347707 data_time: 0.031886 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.916037 2023/08/08 16:33:34 - mmengine - INFO - Epoch(train) [108][210/529] lr: 5.000000e-04 eta: 5:25:38 time: 0.348019 data_time: 0.031430 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.892007 2023/08/08 16:33:38 - mmengine - INFO - Epoch(train) [108][220/529] lr: 5.000000e-04 eta: 5:25:35 time: 0.353461 data_time: 0.031611 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.875468 2023/08/08 16:33:42 - mmengine - INFO - Epoch(train) [108][230/529] lr: 5.000000e-04 eta: 5:25:32 time: 0.367806 data_time: 0.035703 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.851886 2023/08/08 16:33:46 - mmengine - INFO - Epoch(train) [108][240/529] lr: 5.000000e-04 eta: 5:25:28 time: 0.376642 data_time: 0.036083 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.847573 2023/08/08 16:33:50 - mmengine - INFO - Epoch(train) [108][250/529] lr: 5.000000e-04 eta: 5:25:25 time: 0.376101 data_time: 0.036274 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.887173 2023/08/08 16:33:53 - mmengine - INFO - Epoch(train) [108][260/529] lr: 5.000000e-04 eta: 5:25:21 time: 0.378328 data_time: 0.036964 memory: 4565 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.917307 2023/08/08 16:33:57 - mmengine - INFO - Epoch(train) [108][270/529] lr: 5.000000e-04 eta: 5:25:17 time: 0.373963 data_time: 0.036835 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.914960 2023/08/08 16:34:01 - mmengine - INFO - Epoch(train) [108][280/529] lr: 5.000000e-04 eta: 5:25:14 time: 0.367162 data_time: 0.033308 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.870056 2023/08/08 16:34:05 - mmengine - INFO - Epoch(train) [108][290/529] lr: 5.000000e-04 eta: 5:25:11 time: 0.369811 data_time: 0.032898 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.866314 2023/08/08 16:34:08 - mmengine - INFO - Epoch(train) [108][300/529] lr: 5.000000e-04 eta: 5:25:07 time: 0.373671 data_time: 0.032537 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.890022 2023/08/08 16:34:12 - mmengine - INFO - Epoch(train) [108][310/529] lr: 5.000000e-04 eta: 5:25:03 time: 0.371263 data_time: 0.032108 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.853565 2023/08/08 16:34:15 - mmengine - INFO - Epoch(train) [108][320/529] lr: 5.000000e-04 eta: 5:25:00 time: 0.372569 data_time: 0.031988 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.839914 2023/08/08 16:34:19 - mmengine - INFO - Epoch(train) [108][330/529] lr: 5.000000e-04 eta: 5:24:56 time: 0.370024 data_time: 0.032393 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.848161 2023/08/08 16:34:23 - mmengine - INFO - Epoch(train) [108][340/529] lr: 5.000000e-04 eta: 5:24:53 time: 0.366434 data_time: 0.033627 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.848100 2023/08/08 16:34:27 - mmengine - INFO - Epoch(train) [108][350/529] lr: 5.000000e-04 eta: 5:24:49 time: 0.365531 data_time: 0.034045 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.863437 2023/08/08 16:34:30 - mmengine - INFO - Epoch(train) [108][360/529] lr: 5.000000e-04 eta: 5:24:46 time: 0.368795 data_time: 0.035144 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.858925 2023/08/08 16:34:34 - mmengine - INFO - Epoch(train) [108][370/529] lr: 5.000000e-04 eta: 5:24:42 time: 0.368079 data_time: 0.035896 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.928018 2023/08/08 16:34:38 - mmengine - INFO - Epoch(train) [108][380/529] lr: 5.000000e-04 eta: 5:24:39 time: 0.373849 data_time: 0.035475 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.908680 2023/08/08 16:34:42 - mmengine - INFO - Epoch(train) [108][390/529] lr: 5.000000e-04 eta: 5:24:36 time: 0.374142 data_time: 0.034360 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.861931 2023/08/08 16:34:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:34:46 - mmengine - INFO - Epoch(train) [108][400/529] lr: 5.000000e-04 eta: 5:24:32 time: 0.379784 data_time: 0.034120 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.906188 2023/08/08 16:34:49 - mmengine - INFO - Epoch(train) [108][410/529] lr: 5.000000e-04 eta: 5:24:29 time: 0.381440 data_time: 0.033087 memory: 4565 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.846882 2023/08/08 16:34:53 - mmengine - INFO - Epoch(train) [108][420/529] lr: 5.000000e-04 eta: 5:24:26 time: 0.388664 data_time: 0.033164 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.865997 2023/08/08 16:34:57 - mmengine - INFO - Epoch(train) [108][430/529] lr: 5.000000e-04 eta: 5:24:22 time: 0.387273 data_time: 0.033040 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.866433 2023/08/08 16:35:01 - mmengine - INFO - Epoch(train) [108][440/529] lr: 5.000000e-04 eta: 5:24:19 time: 0.382935 data_time: 0.033300 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.941543 2023/08/08 16:35:05 - mmengine - INFO - Epoch(train) [108][450/529] lr: 5.000000e-04 eta: 5:24:15 time: 0.378529 data_time: 0.033485 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.890483 2023/08/08 16:35:08 - mmengine - INFO - Epoch(train) [108][460/529] lr: 5.000000e-04 eta: 5:24:12 time: 0.376326 data_time: 0.033599 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.935437 2023/08/08 16:35:12 - mmengine - INFO - Epoch(train) [108][470/529] lr: 5.000000e-04 eta: 5:24:08 time: 0.370977 data_time: 0.032942 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.855787 2023/08/08 16:35:15 - mmengine - INFO - Epoch(train) [108][480/529] lr: 5.000000e-04 eta: 5:24:04 time: 0.364706 data_time: 0.032494 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.918938 2023/08/08 16:35:19 - mmengine - INFO - Epoch(train) [108][490/529] lr: 5.000000e-04 eta: 5:24:01 time: 0.362336 data_time: 0.032367 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.878148 2023/08/08 16:35:23 - mmengine - INFO - Epoch(train) [108][500/529] lr: 5.000000e-04 eta: 5:23:57 time: 0.360178 data_time: 0.032419 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.899613 2023/08/08 16:35:26 - mmengine - INFO - Epoch(train) [108][510/529] lr: 5.000000e-04 eta: 5:23:54 time: 0.358965 data_time: 0.032580 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.899730 2023/08/08 16:35:30 - mmengine - INFO - Epoch(train) [108][520/529] lr: 5.000000e-04 eta: 5:23:50 time: 0.357631 data_time: 0.032530 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.898042 2023/08/08 16:35:33 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:35:37 - mmengine - INFO - Epoch(train) [109][ 10/529] lr: 5.000000e-04 eta: 5:23:43 time: 0.361606 data_time: 0.036982 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.849069 2023/08/08 16:35:40 - mmengine - INFO - Epoch(train) [109][ 20/529] lr: 5.000000e-04 eta: 5:23:40 time: 0.359103 data_time: 0.036876 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.843797 2023/08/08 16:35:44 - mmengine - INFO - Epoch(train) [109][ 30/529] lr: 5.000000e-04 eta: 5:23:36 time: 0.356459 data_time: 0.036577 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.905124 2023/08/08 16:35:47 - mmengine - INFO - Epoch(train) [109][ 40/529] lr: 5.000000e-04 eta: 5:23:32 time: 0.356235 data_time: 0.036654 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.923723 2023/08/08 16:35:51 - mmengine - INFO - Epoch(train) [109][ 50/529] lr: 5.000000e-04 eta: 5:23:29 time: 0.359669 data_time: 0.037234 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.820815 2023/08/08 16:35:55 - mmengine - INFO - Epoch(train) [109][ 60/529] lr: 5.000000e-04 eta: 5:23:25 time: 0.356328 data_time: 0.032545 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.901082 2023/08/08 16:35:58 - mmengine - INFO - Epoch(train) [109][ 70/529] lr: 5.000000e-04 eta: 5:23:22 time: 0.359307 data_time: 0.036009 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.888088 2023/08/08 16:36:02 - mmengine - INFO - Epoch(train) [109][ 80/529] lr: 5.000000e-04 eta: 5:23:18 time: 0.359964 data_time: 0.036561 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.828130 2023/08/08 16:36:05 - mmengine - INFO - Epoch(train) [109][ 90/529] lr: 5.000000e-04 eta: 5:23:14 time: 0.362106 data_time: 0.036390 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.859800 2023/08/08 16:36:09 - mmengine - INFO - Epoch(train) [109][100/529] lr: 5.000000e-04 eta: 5:23:11 time: 0.357164 data_time: 0.035902 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.963648 2023/08/08 16:36:13 - mmengine - INFO - Epoch(train) [109][110/529] lr: 5.000000e-04 eta: 5:23:07 time: 0.361121 data_time: 0.035875 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.938720 2023/08/08 16:36:16 - mmengine - INFO - Epoch(train) [109][120/529] lr: 5.000000e-04 eta: 5:23:04 time: 0.359506 data_time: 0.032006 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.855315 2023/08/08 16:36:20 - mmengine - INFO - Epoch(train) [109][130/529] lr: 5.000000e-04 eta: 5:23:00 time: 0.360739 data_time: 0.031765 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.900218 2023/08/08 16:36:23 - mmengine - INFO - Epoch(train) [109][140/529] lr: 5.000000e-04 eta: 5:22:56 time: 0.356863 data_time: 0.031706 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.931338 2023/08/08 16:36:27 - mmengine - INFO - Epoch(train) [109][150/529] lr: 5.000000e-04 eta: 5:22:52 time: 0.356046 data_time: 0.031761 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.832387 2023/08/08 16:36:30 - mmengine - INFO - Epoch(train) [109][160/529] lr: 5.000000e-04 eta: 5:22:49 time: 0.350251 data_time: 0.032046 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.878542 2023/08/08 16:36:34 - mmengine - INFO - Epoch(train) [109][170/529] lr: 5.000000e-04 eta: 5:22:45 time: 0.355656 data_time: 0.033188 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.910391 2023/08/08 16:36:38 - mmengine - INFO - Epoch(train) [109][180/529] lr: 5.000000e-04 eta: 5:22:42 time: 0.363919 data_time: 0.033671 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.913092 2023/08/08 16:36:42 - mmengine - INFO - Epoch(train) [109][190/529] lr: 5.000000e-04 eta: 5:22:39 time: 0.371294 data_time: 0.034682 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.847507 2023/08/08 16:36:45 - mmengine - INFO - Epoch(train) [109][200/529] lr: 5.000000e-04 eta: 5:22:35 time: 0.373158 data_time: 0.034751 memory: 4565 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.857390 2023/08/08 16:36:49 - mmengine - INFO - Epoch(train) [109][210/529] lr: 5.000000e-04 eta: 5:22:31 time: 0.373424 data_time: 0.034346 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.856059 2023/08/08 16:36:52 - mmengine - INFO - Epoch(train) [109][220/529] lr: 5.000000e-04 eta: 5:22:28 time: 0.366262 data_time: 0.033418 memory: 4565 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.859017 2023/08/08 16:36:56 - mmengine - INFO - Epoch(train) [109][230/529] lr: 5.000000e-04 eta: 5:22:24 time: 0.355558 data_time: 0.032425 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.897021 2023/08/08 16:37:00 - mmengine - INFO - Epoch(train) [109][240/529] lr: 5.000000e-04 eta: 5:22:20 time: 0.354744 data_time: 0.035800 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.930903 2023/08/08 16:37:03 - mmengine - INFO - Epoch(train) [109][250/529] lr: 5.000000e-04 eta: 5:22:17 time: 0.356688 data_time: 0.036540 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.919218 2023/08/08 16:37:07 - mmengine - INFO - Epoch(train) [109][260/529] lr: 5.000000e-04 eta: 5:22:13 time: 0.356431 data_time: 0.036987 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.891835 2023/08/08 16:37:10 - mmengine - INFO - Epoch(train) [109][270/529] lr: 5.000000e-04 eta: 5:22:09 time: 0.356182 data_time: 0.037061 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.877242 2023/08/08 16:37:14 - mmengine - INFO - Epoch(train) [109][280/529] lr: 5.000000e-04 eta: 5:22:06 time: 0.356966 data_time: 0.037234 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.886598 2023/08/08 16:37:17 - mmengine - INFO - Epoch(train) [109][290/529] lr: 5.000000e-04 eta: 5:22:02 time: 0.354624 data_time: 0.033394 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.879637 2023/08/08 16:37:21 - mmengine - INFO - Epoch(train) [109][300/529] lr: 5.000000e-04 eta: 5:21:59 time: 0.355147 data_time: 0.033314 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.868079 2023/08/08 16:37:24 - mmengine - INFO - Epoch(train) [109][310/529] lr: 5.000000e-04 eta: 5:21:55 time: 0.355190 data_time: 0.032698 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.872657 2023/08/08 16:37:28 - mmengine - INFO - Epoch(train) [109][320/529] lr: 5.000000e-04 eta: 5:21:51 time: 0.359184 data_time: 0.032914 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.879564 2023/08/08 16:37:32 - mmengine - INFO - Epoch(train) [109][330/529] lr: 5.000000e-04 eta: 5:21:48 time: 0.362306 data_time: 0.033038 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.900553 2023/08/08 16:37:35 - mmengine - INFO - Epoch(train) [109][340/529] lr: 5.000000e-04 eta: 5:21:44 time: 0.362935 data_time: 0.033253 memory: 4565 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.896708 2023/08/08 16:37:39 - mmengine - INFO - Epoch(train) [109][350/529] lr: 5.000000e-04 eta: 5:21:41 time: 0.366050 data_time: 0.032880 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.923593 2023/08/08 16:37:43 - mmengine - INFO - Epoch(train) [109][360/529] lr: 5.000000e-04 eta: 5:21:37 time: 0.366556 data_time: 0.033065 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.909368 2023/08/08 16:37:46 - mmengine - INFO - Epoch(train) [109][370/529] lr: 5.000000e-04 eta: 5:21:34 time: 0.364481 data_time: 0.032636 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.855779 2023/08/08 16:37:50 - mmengine - INFO - Epoch(train) [109][380/529] lr: 5.000000e-04 eta: 5:21:30 time: 0.368801 data_time: 0.032837 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.894798 2023/08/08 16:37:54 - mmengine - INFO - Epoch(train) [109][390/529] lr: 5.000000e-04 eta: 5:21:27 time: 0.365155 data_time: 0.032050 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.885963 2023/08/08 16:37:57 - mmengine - INFO - Epoch(train) [109][400/529] lr: 5.000000e-04 eta: 5:21:23 time: 0.363043 data_time: 0.036640 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.866630 2023/08/08 16:38:01 - mmengine - INFO - Epoch(train) [109][410/529] lr: 5.000000e-04 eta: 5:21:19 time: 0.362902 data_time: 0.036874 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.937469 2023/08/08 16:38:04 - mmengine - INFO - Epoch(train) [109][420/529] lr: 5.000000e-04 eta: 5:21:16 time: 0.361500 data_time: 0.037271 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.894440 2023/08/08 16:38:08 - mmengine - INFO - Epoch(train) [109][430/529] lr: 5.000000e-04 eta: 5:21:12 time: 0.355012 data_time: 0.037179 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.881903 2023/08/08 16:38:12 - mmengine - INFO - Epoch(train) [109][440/529] lr: 5.000000e-04 eta: 5:21:08 time: 0.357259 data_time: 0.037908 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.878658 2023/08/08 16:38:15 - mmengine - INFO - Epoch(train) [109][450/529] lr: 5.000000e-04 eta: 5:21:05 time: 0.354692 data_time: 0.033492 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.914495 2023/08/08 16:38:19 - mmengine - INFO - Epoch(train) [109][460/529] lr: 5.000000e-04 eta: 5:21:01 time: 0.356576 data_time: 0.033454 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.919457 2023/08/08 16:38:22 - mmengine - INFO - Epoch(train) [109][470/529] lr: 5.000000e-04 eta: 5:20:57 time: 0.355986 data_time: 0.033149 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.887323 2023/08/08 16:38:26 - mmengine - INFO - Epoch(train) [109][480/529] lr: 5.000000e-04 eta: 5:20:54 time: 0.355927 data_time: 0.032733 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.854930 2023/08/08 16:38:29 - mmengine - INFO - Epoch(train) [109][490/529] lr: 5.000000e-04 eta: 5:20:50 time: 0.354055 data_time: 0.032454 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.912257 2023/08/08 16:38:33 - mmengine - INFO - Epoch(train) [109][500/529] lr: 5.000000e-04 eta: 5:20:46 time: 0.351419 data_time: 0.032035 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.850001 2023/08/08 16:38:36 - mmengine - INFO - Epoch(train) [109][510/529] lr: 5.000000e-04 eta: 5:20:43 time: 0.349547 data_time: 0.032007 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.906668 2023/08/08 16:38:40 - mmengine - INFO - Epoch(train) [109][520/529] lr: 5.000000e-04 eta: 5:20:39 time: 0.350867 data_time: 0.032035 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.829386 2023/08/08 16:38:43 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:38:47 - mmengine - INFO - Epoch(train) [110][ 10/529] lr: 5.000000e-04 eta: 5:20:33 time: 0.361464 data_time: 0.035169 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.859153 2023/08/08 16:38:51 - mmengine - INFO - Epoch(train) [110][ 20/529] lr: 5.000000e-04 eta: 5:20:29 time: 0.362156 data_time: 0.035083 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.926748 2023/08/08 16:38:54 - mmengine - INFO - Epoch(train) [110][ 30/529] lr: 5.000000e-04 eta: 5:20:25 time: 0.362063 data_time: 0.034925 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.867608 2023/08/08 16:38:58 - mmengine - INFO - Epoch(train) [110][ 40/529] lr: 5.000000e-04 eta: 5:20:22 time: 0.364767 data_time: 0.035555 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.924625 2023/08/08 16:39:01 - mmengine - INFO - Epoch(train) [110][ 50/529] lr: 5.000000e-04 eta: 5:20:18 time: 0.361024 data_time: 0.040094 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.940262 2023/08/08 16:39:05 - mmengine - INFO - Epoch(train) [110][ 60/529] lr: 5.000000e-04 eta: 5:20:14 time: 0.358515 data_time: 0.036899 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.909175 2023/08/08 16:39:09 - mmengine - INFO - Epoch(train) [110][ 70/529] lr: 5.000000e-04 eta: 5:20:11 time: 0.358812 data_time: 0.037222 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.857778 2023/08/08 16:39:12 - mmengine - INFO - Epoch(train) [110][ 80/529] lr: 5.000000e-04 eta: 5:20:07 time: 0.363035 data_time: 0.037549 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.921702 2023/08/08 16:39:16 - mmengine - INFO - Epoch(train) [110][ 90/529] lr: 5.000000e-04 eta: 5:20:04 time: 0.362041 data_time: 0.037653 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.894196 2023/08/08 16:39:19 - mmengine - INFO - Epoch(train) [110][100/529] lr: 5.000000e-04 eta: 5:20:00 time: 0.360462 data_time: 0.034066 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.876390 2023/08/08 16:39:23 - mmengine - INFO - Epoch(train) [110][110/529] lr: 5.000000e-04 eta: 5:19:57 time: 0.365951 data_time: 0.033354 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.920167 2023/08/08 16:39:27 - mmengine - INFO - Epoch(train) [110][120/529] lr: 5.000000e-04 eta: 5:19:53 time: 0.370968 data_time: 0.033552 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.879495 2023/08/08 16:39:31 - mmengine - INFO - Epoch(train) [110][130/529] lr: 5.000000e-04 eta: 5:19:50 time: 0.369488 data_time: 0.033353 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.894573 2023/08/08 16:39:34 - mmengine - INFO - Epoch(train) [110][140/529] lr: 5.000000e-04 eta: 5:19:46 time: 0.372925 data_time: 0.032440 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.834060 2023/08/08 16:39:38 - mmengine - INFO - Epoch(train) [110][150/529] lr: 5.000000e-04 eta: 5:19:43 time: 0.372620 data_time: 0.032487 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.842896 2023/08/08 16:39:42 - mmengine - INFO - Epoch(train) [110][160/529] lr: 5.000000e-04 eta: 5:19:39 time: 0.366295 data_time: 0.032639 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.925011 2023/08/08 16:39:45 - mmengine - INFO - Epoch(train) [110][170/529] lr: 5.000000e-04 eta: 5:19:35 time: 0.363229 data_time: 0.032536 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.913458 2023/08/08 16:39:49 - mmengine - INFO - Epoch(train) [110][180/529] lr: 5.000000e-04 eta: 5:19:32 time: 0.360946 data_time: 0.032216 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.928027 2023/08/08 16:39:53 - mmengine - INFO - Epoch(train) [110][190/529] lr: 5.000000e-04 eta: 5:19:29 time: 0.365061 data_time: 0.032257 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.876450 2023/08/08 16:39:57 - mmengine - INFO - Epoch(train) [110][200/529] lr: 5.000000e-04 eta: 5:19:25 time: 0.372461 data_time: 0.031923 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.895780 2023/08/08 16:40:01 - mmengine - INFO - Epoch(train) [110][210/529] lr: 5.000000e-04 eta: 5:19:22 time: 0.381071 data_time: 0.031880 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.926982 2023/08/08 16:40:04 - mmengine - INFO - Epoch(train) [110][220/529] lr: 5.000000e-04 eta: 5:19:18 time: 0.381007 data_time: 0.031804 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.848380 2023/08/08 16:40:08 - mmengine - INFO - Epoch(train) [110][230/529] lr: 5.000000e-04 eta: 5:19:15 time: 0.384451 data_time: 0.032353 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.856707 2023/08/08 16:40:12 - mmengine - INFO - Epoch(train) [110][240/529] lr: 5.000000e-04 eta: 5:19:11 time: 0.377752 data_time: 0.032478 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.856684 2023/08/08 16:40:15 - mmengine - INFO - Epoch(train) [110][250/529] lr: 5.000000e-04 eta: 5:19:08 time: 0.371784 data_time: 0.033173 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.857016 2023/08/08 16:40:19 - mmengine - INFO - Epoch(train) [110][260/529] lr: 5.000000e-04 eta: 5:19:04 time: 0.366625 data_time: 0.036659 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.874894 2023/08/08 16:40:23 - mmengine - INFO - Epoch(train) [110][270/529] lr: 5.000000e-04 eta: 5:19:01 time: 0.369768 data_time: 0.040194 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.873925 2023/08/08 16:40:26 - mmengine - INFO - Epoch(train) [110][280/529] lr: 5.000000e-04 eta: 5:18:57 time: 0.367521 data_time: 0.040061 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.876238 2023/08/08 16:40:30 - mmengine - INFO - Epoch(train) [110][290/529] lr: 5.000000e-04 eta: 5:18:54 time: 0.369214 data_time: 0.040489 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.907014 2023/08/08 16:40:34 - mmengine - INFO - Epoch(train) [110][300/529] lr: 5.000000e-04 eta: 5:18:50 time: 0.367740 data_time: 0.039924 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.922071 2023/08/08 16:40:37 - mmengine - INFO - Epoch(train) [110][310/529] lr: 5.000000e-04 eta: 5:18:47 time: 0.368001 data_time: 0.036329 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.873062 2023/08/08 16:40:41 - mmengine - INFO - Epoch(train) [110][320/529] lr: 5.000000e-04 eta: 5:18:43 time: 0.366735 data_time: 0.032793 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.874242 2023/08/08 16:40:45 - mmengine - INFO - Epoch(train) [110][330/529] lr: 5.000000e-04 eta: 5:18:39 time: 0.365229 data_time: 0.032403 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.875870 2023/08/08 16:40:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:40:49 - mmengine - INFO - Epoch(train) [110][340/529] lr: 5.000000e-04 eta: 5:18:36 time: 0.370881 data_time: 0.032574 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.896283 2023/08/08 16:40:52 - mmengine - INFO - Epoch(train) [110][350/529] lr: 5.000000e-04 eta: 5:18:33 time: 0.376356 data_time: 0.032830 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.913731 2023/08/08 16:40:56 - mmengine - INFO - Epoch(train) [110][360/529] lr: 5.000000e-04 eta: 5:18:29 time: 0.373669 data_time: 0.033418 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.894905 2023/08/08 16:41:00 - mmengine - INFO - Epoch(train) [110][370/529] lr: 5.000000e-04 eta: 5:18:26 time: 0.371678 data_time: 0.033334 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.925273 2023/08/08 16:41:03 - mmengine - INFO - Epoch(train) [110][380/529] lr: 5.000000e-04 eta: 5:18:22 time: 0.372677 data_time: 0.033728 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.894786 2023/08/08 16:41:07 - mmengine - INFO - Epoch(train) [110][390/529] lr: 5.000000e-04 eta: 5:18:18 time: 0.365450 data_time: 0.034099 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.881752 2023/08/08 16:41:11 - mmengine - INFO - Epoch(train) [110][400/529] lr: 5.000000e-04 eta: 5:18:15 time: 0.362351 data_time: 0.034085 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.898563 2023/08/08 16:41:14 - mmengine - INFO - Epoch(train) [110][410/529] lr: 5.000000e-04 eta: 5:18:11 time: 0.361910 data_time: 0.033225 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.833567 2023/08/08 16:41:18 - mmengine - INFO - Epoch(train) [110][420/529] lr: 5.000000e-04 eta: 5:18:08 time: 0.362769 data_time: 0.033300 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.921984 2023/08/08 16:41:22 - mmengine - INFO - Epoch(train) [110][430/529] lr: 5.000000e-04 eta: 5:18:04 time: 0.368371 data_time: 0.033601 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.888495 2023/08/08 16:41:26 - mmengine - INFO - Epoch(train) [110][440/529] lr: 5.000000e-04 eta: 5:18:01 time: 0.375055 data_time: 0.032593 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.879341 2023/08/08 16:41:30 - mmengine - INFO - Epoch(train) [110][450/529] lr: 5.000000e-04 eta: 5:17:58 time: 0.378781 data_time: 0.032431 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.895003 2023/08/08 16:41:33 - mmengine - INFO - Epoch(train) [110][460/529] lr: 5.000000e-04 eta: 5:17:54 time: 0.383950 data_time: 0.033068 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.919531 2023/08/08 16:41:37 - mmengine - INFO - Epoch(train) [110][470/529] lr: 5.000000e-04 eta: 5:17:51 time: 0.384316 data_time: 0.032992 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.880892 2023/08/08 16:41:41 - mmengine - INFO - Epoch(train) [110][480/529] lr: 5.000000e-04 eta: 5:17:47 time: 0.380216 data_time: 0.032867 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.872645 2023/08/08 16:41:44 - mmengine - INFO - Epoch(train) [110][490/529] lr: 5.000000e-04 eta: 5:17:44 time: 0.373193 data_time: 0.033179 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.849153 2023/08/08 16:41:48 - mmengine - INFO - Epoch(train) [110][500/529] lr: 5.000000e-04 eta: 5:17:40 time: 0.366370 data_time: 0.033270 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.862874 2023/08/08 16:41:52 - mmengine - INFO - Epoch(train) [110][510/529] lr: 5.000000e-04 eta: 5:17:37 time: 0.363325 data_time: 0.032956 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.848192 2023/08/08 16:41:55 - mmengine - INFO - Epoch(train) [110][520/529] lr: 5.000000e-04 eta: 5:17:33 time: 0.363174 data_time: 0.034397 memory: 4565 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.885912 2023/08/08 16:41:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:41:58 - mmengine - INFO - Saving checkpoint at 110 epochs 2023/08/08 16:42:04 - mmengine - INFO - Epoch(val) [110][ 10/127] eta: 0:00:24 time: 0.198898 data_time: 0.013630 memory: 4565 2023/08/08 16:42:06 - mmengine - INFO - Epoch(val) [110][ 20/127] eta: 0:00:22 time: 0.199047 data_time: 0.013802 memory: 1634 2023/08/08 16:42:08 - mmengine - INFO - Epoch(val) [110][ 30/127] eta: 0:00:19 time: 0.199187 data_time: 0.013922 memory: 1634 2023/08/08 16:42:10 - mmengine - INFO - Epoch(val) [110][ 40/127] eta: 0:00:17 time: 0.199039 data_time: 0.013956 memory: 1634 2023/08/08 16:42:12 - mmengine - INFO - Epoch(val) [110][ 50/127] eta: 0:00:15 time: 0.200883 data_time: 0.014063 memory: 1634 2023/08/08 16:42:14 - mmengine - INFO - Epoch(val) [110][ 60/127] eta: 0:00:13 time: 0.197702 data_time: 0.011477 memory: 1634 2023/08/08 16:42:16 - mmengine - INFO - Epoch(val) [110][ 70/127] eta: 0:00:11 time: 0.197658 data_time: 0.011309 memory: 1634 2023/08/08 16:42:18 - mmengine - INFO - Epoch(val) [110][ 80/127] eta: 0:00:09 time: 0.197623 data_time: 0.011257 memory: 1634 2023/08/08 16:42:20 - mmengine - INFO - Epoch(val) [110][ 90/127] eta: 0:00:07 time: 0.201974 data_time: 0.015514 memory: 1634 2023/08/08 16:42:22 - mmengine - INFO - Epoch(val) [110][100/127] eta: 0:00:05 time: 0.202182 data_time: 0.015589 memory: 1634 2023/08/08 16:42:24 - mmengine - INFO - Epoch(val) [110][110/127] eta: 0:00:03 time: 0.203050 data_time: 0.015842 memory: 1634 2023/08/08 16:42:26 - mmengine - INFO - Epoch(val) [110][120/127] eta: 0:00:01 time: 0.202944 data_time: 0.015946 memory: 1634 2023/08/08 16:42:28 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 16:42:28 - mmengine - INFO - Evaluating AUC... 2023/08/08 16:42:28 - mmengine - INFO - Evaluating EPE... 2023/08/08 16:42:28 - mmengine - INFO - Epoch(val) [110][127/127] PCK: 0.981349 AUC: 0.673857 EPE: 11.823702 data_time: 0.014089 time: 0.199508 2023/08/08 16:42:28 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_100.pth is removed 2023/08/08 16:42:31 - mmengine - INFO - The best checkpoint with 0.6739 AUC at 110 epoch is saved to best_AUC_epoch_110.pth. 2023/08/08 16:42:38 - mmengine - INFO - Epoch(train) [111][ 10/529] lr: 5.000000e-04 eta: 5:17:26 time: 0.367047 data_time: 0.037592 memory: 4565 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.883251 2023/08/08 16:42:42 - mmengine - INFO - Epoch(train) [111][ 20/529] lr: 5.000000e-04 eta: 5:17:23 time: 0.368844 data_time: 0.037788 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.872213 2023/08/08 16:42:45 - mmengine - INFO - Epoch(train) [111][ 30/529] lr: 5.000000e-04 eta: 5:17:19 time: 0.366807 data_time: 0.037710 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.907042 2023/08/08 16:42:49 - mmengine - INFO - Epoch(train) [111][ 40/529] lr: 5.000000e-04 eta: 5:17:16 time: 0.370244 data_time: 0.036666 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.909511 2023/08/08 16:42:53 - mmengine - INFO - Epoch(train) [111][ 50/529] lr: 5.000000e-04 eta: 5:17:12 time: 0.372017 data_time: 0.036935 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.923447 2023/08/08 16:42:56 - mmengine - INFO - Epoch(train) [111][ 60/529] lr: 5.000000e-04 eta: 5:17:09 time: 0.366937 data_time: 0.032568 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.904563 2023/08/08 16:43:00 - mmengine - INFO - Epoch(train) [111][ 70/529] lr: 5.000000e-04 eta: 5:17:05 time: 0.367633 data_time: 0.032392 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.891179 2023/08/08 16:43:04 - mmengine - INFO - Epoch(train) [111][ 80/529] lr: 5.000000e-04 eta: 5:17:02 time: 0.368149 data_time: 0.032924 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.880566 2023/08/08 16:43:07 - mmengine - INFO - Epoch(train) [111][ 90/529] lr: 5.000000e-04 eta: 5:16:58 time: 0.366030 data_time: 0.032381 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.935393 2023/08/08 16:43:11 - mmengine - INFO - Epoch(train) [111][100/529] lr: 5.000000e-04 eta: 5:16:55 time: 0.369631 data_time: 0.032770 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.934865 2023/08/08 16:43:15 - mmengine - INFO - Epoch(train) [111][110/529] lr: 5.000000e-04 eta: 5:16:51 time: 0.367370 data_time: 0.032666 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.877261 2023/08/08 16:43:18 - mmengine - INFO - Epoch(train) [111][120/529] lr: 5.000000e-04 eta: 5:16:47 time: 0.366958 data_time: 0.032743 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.878964 2023/08/08 16:43:22 - mmengine - INFO - Epoch(train) [111][130/529] lr: 5.000000e-04 eta: 5:16:44 time: 0.366836 data_time: 0.032472 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.834763 2023/08/08 16:43:26 - mmengine - INFO - Epoch(train) [111][140/529] lr: 5.000000e-04 eta: 5:16:40 time: 0.364488 data_time: 0.032509 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.818243 2023/08/08 16:43:29 - mmengine - INFO - Epoch(train) [111][150/529] lr: 5.000000e-04 eta: 5:16:37 time: 0.360477 data_time: 0.032623 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.890884 2023/08/08 16:43:33 - mmengine - INFO - Epoch(train) [111][160/529] lr: 5.000000e-04 eta: 5:16:33 time: 0.369966 data_time: 0.040745 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.908659 2023/08/08 16:43:37 - mmengine - INFO - Epoch(train) [111][170/529] lr: 5.000000e-04 eta: 5:16:30 time: 0.368344 data_time: 0.040547 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.876993 2023/08/08 16:43:40 - mmengine - INFO - Epoch(train) [111][180/529] lr: 5.000000e-04 eta: 5:16:26 time: 0.366554 data_time: 0.039998 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.861401 2023/08/08 16:43:44 - mmengine - INFO - Epoch(train) [111][190/529] lr: 5.000000e-04 eta: 5:16:23 time: 0.366093 data_time: 0.040032 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.931316 2023/08/08 16:43:48 - mmengine - INFO - Epoch(train) [111][200/529] lr: 5.000000e-04 eta: 5:16:19 time: 0.366150 data_time: 0.040291 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.894493 2023/08/08 16:43:51 - mmengine - INFO - Epoch(train) [111][210/529] lr: 5.000000e-04 eta: 5:16:15 time: 0.360099 data_time: 0.032555 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.868733 2023/08/08 16:43:55 - mmengine - INFO - Epoch(train) [111][220/529] lr: 5.000000e-04 eta: 5:16:12 time: 0.363808 data_time: 0.033120 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.907355 2023/08/08 16:43:59 - mmengine - INFO - Epoch(train) [111][230/529] lr: 5.000000e-04 eta: 5:16:08 time: 0.365832 data_time: 0.033331 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.889548 2023/08/08 16:44:02 - mmengine - INFO - Epoch(train) [111][240/529] lr: 5.000000e-04 eta: 5:16:05 time: 0.364403 data_time: 0.033345 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.902923 2023/08/08 16:44:06 - mmengine - INFO - Epoch(train) [111][250/529] lr: 5.000000e-04 eta: 5:16:01 time: 0.361675 data_time: 0.032950 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.936250 2023/08/08 16:44:09 - mmengine - INFO - Epoch(train) [111][260/529] lr: 5.000000e-04 eta: 5:15:57 time: 0.356595 data_time: 0.033187 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.873159 2023/08/08 16:44:13 - mmengine - INFO - Epoch(train) [111][270/529] lr: 5.000000e-04 eta: 5:15:54 time: 0.352789 data_time: 0.033066 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.811881 2023/08/08 16:44:16 - mmengine - INFO - Epoch(train) [111][280/529] lr: 5.000000e-04 eta: 5:15:50 time: 0.350335 data_time: 0.032884 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.909842 2023/08/08 16:44:20 - mmengine - INFO - Epoch(train) [111][290/529] lr: 5.000000e-04 eta: 5:15:46 time: 0.351846 data_time: 0.033274 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.916034 2023/08/08 16:44:23 - mmengine - INFO - Epoch(train) [111][300/529] lr: 5.000000e-04 eta: 5:15:43 time: 0.355286 data_time: 0.033595 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.888941 2023/08/08 16:44:27 - mmengine - INFO - Epoch(train) [111][310/529] lr: 5.000000e-04 eta: 5:15:40 time: 0.365544 data_time: 0.033509 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.944012 2023/08/08 16:44:31 - mmengine - INFO - Epoch(train) [111][320/529] lr: 5.000000e-04 eta: 5:15:36 time: 0.367317 data_time: 0.033293 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.951160 2023/08/08 16:44:35 - mmengine - INFO - Epoch(train) [111][330/529] lr: 5.000000e-04 eta: 5:15:33 time: 0.374017 data_time: 0.037470 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.865247 2023/08/08 16:44:39 - mmengine - INFO - Epoch(train) [111][340/529] lr: 5.000000e-04 eta: 5:15:29 time: 0.374803 data_time: 0.037591 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.934278 2023/08/08 16:44:42 - mmengine - INFO - Epoch(train) [111][350/529] lr: 5.000000e-04 eta: 5:15:26 time: 0.375731 data_time: 0.038115 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.840625 2023/08/08 16:44:46 - mmengine - INFO - Epoch(train) [111][360/529] lr: 5.000000e-04 eta: 5:15:22 time: 0.368125 data_time: 0.037848 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.921676 2023/08/08 16:44:49 - mmengine - INFO - Epoch(train) [111][370/529] lr: 5.000000e-04 eta: 5:15:18 time: 0.364316 data_time: 0.037540 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.855400 2023/08/08 16:44:53 - mmengine - INFO - Epoch(train) [111][380/529] lr: 5.000000e-04 eta: 5:15:14 time: 0.357180 data_time: 0.033195 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.921964 2023/08/08 16:44:56 - mmengine - INFO - Epoch(train) [111][390/529] lr: 5.000000e-04 eta: 5:15:11 time: 0.355406 data_time: 0.032678 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.929893 2023/08/08 16:45:00 - mmengine - INFO - Epoch(train) [111][400/529] lr: 5.000000e-04 eta: 5:15:07 time: 0.356331 data_time: 0.032811 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.910157 2023/08/08 16:45:04 - mmengine - INFO - Epoch(train) [111][410/529] lr: 5.000000e-04 eta: 5:15:04 time: 0.356924 data_time: 0.032904 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.851751 2023/08/08 16:45:07 - mmengine - INFO - Epoch(train) [111][420/529] lr: 5.000000e-04 eta: 5:15:00 time: 0.357210 data_time: 0.033467 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.890070 2023/08/08 16:45:11 - mmengine - INFO - Epoch(train) [111][430/529] lr: 5.000000e-04 eta: 5:14:56 time: 0.359542 data_time: 0.034131 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.902454 2023/08/08 16:45:14 - mmengine - INFO - Epoch(train) [111][440/529] lr: 5.000000e-04 eta: 5:14:53 time: 0.359076 data_time: 0.034119 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.876325 2023/08/08 16:45:18 - mmengine - INFO - Epoch(train) [111][450/529] lr: 5.000000e-04 eta: 5:14:49 time: 0.357835 data_time: 0.032892 memory: 4565 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.874180 2023/08/08 16:45:22 - mmengine - INFO - Epoch(train) [111][460/529] lr: 5.000000e-04 eta: 5:14:46 time: 0.356166 data_time: 0.032848 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.874351 2023/08/08 16:45:25 - mmengine - INFO - Epoch(train) [111][470/529] lr: 5.000000e-04 eta: 5:14:42 time: 0.356530 data_time: 0.032409 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.851823 2023/08/08 16:45:29 - mmengine - INFO - Epoch(train) [111][480/529] lr: 5.000000e-04 eta: 5:14:38 time: 0.357109 data_time: 0.032256 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.840468 2023/08/08 16:45:32 - mmengine - INFO - Epoch(train) [111][490/529] lr: 5.000000e-04 eta: 5:14:35 time: 0.357183 data_time: 0.032076 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.855609 2023/08/08 16:45:36 - mmengine - INFO - Epoch(train) [111][500/529] lr: 5.000000e-04 eta: 5:14:31 time: 0.353374 data_time: 0.032403 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.817649 2023/08/08 16:45:39 - mmengine - INFO - Epoch(train) [111][510/529] lr: 5.000000e-04 eta: 5:14:27 time: 0.352851 data_time: 0.032478 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.827764 2023/08/08 16:45:43 - mmengine - INFO - Epoch(train) [111][520/529] lr: 5.000000e-04 eta: 5:14:24 time: 0.354769 data_time: 0.032561 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.907525 2023/08/08 16:45:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:45:50 - mmengine - INFO - Epoch(train) [112][ 10/529] lr: 5.000000e-04 eta: 5:14:17 time: 0.366325 data_time: 0.041944 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.853308 2023/08/08 16:45:54 - mmengine - INFO - Epoch(train) [112][ 20/529] lr: 5.000000e-04 eta: 5:14:14 time: 0.366654 data_time: 0.041994 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.898671 2023/08/08 16:45:57 - mmengine - INFO - Epoch(train) [112][ 30/529] lr: 5.000000e-04 eta: 5:14:10 time: 0.367496 data_time: 0.041527 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.876372 2023/08/08 16:46:01 - mmengine - INFO - Epoch(train) [112][ 40/529] lr: 5.000000e-04 eta: 5:14:06 time: 0.371021 data_time: 0.041300 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.883241 2023/08/08 16:46:05 - mmengine - INFO - Epoch(train) [112][ 50/529] lr: 5.000000e-04 eta: 5:14:03 time: 0.373582 data_time: 0.040752 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.927806 2023/08/08 16:46:08 - mmengine - INFO - Epoch(train) [112][ 60/529] lr: 5.000000e-04 eta: 5:13:59 time: 0.363906 data_time: 0.031645 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.941749 2023/08/08 16:46:12 - mmengine - INFO - Epoch(train) [112][ 70/529] lr: 5.000000e-04 eta: 5:13:56 time: 0.364683 data_time: 0.031559 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.892881 2023/08/08 16:46:16 - mmengine - INFO - Epoch(train) [112][ 80/529] lr: 5.000000e-04 eta: 5:13:52 time: 0.369027 data_time: 0.031761 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.862837 2023/08/08 16:46:19 - mmengine - INFO - Epoch(train) [112][ 90/529] lr: 5.000000e-04 eta: 5:13:49 time: 0.363322 data_time: 0.031725 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.855961 2023/08/08 16:46:23 - mmengine - INFO - Epoch(train) [112][100/529] lr: 5.000000e-04 eta: 5:13:45 time: 0.356447 data_time: 0.031428 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.895606 2023/08/08 16:46:26 - mmengine - INFO - Epoch(train) [112][110/529] lr: 5.000000e-04 eta: 5:13:41 time: 0.354084 data_time: 0.031868 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.902555 2023/08/08 16:46:30 - mmengine - INFO - Epoch(train) [112][120/529] lr: 5.000000e-04 eta: 5:13:38 time: 0.355197 data_time: 0.032143 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.913090 2023/08/08 16:46:33 - mmengine - INFO - Epoch(train) [112][130/529] lr: 5.000000e-04 eta: 5:13:34 time: 0.350078 data_time: 0.032052 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.953767 2023/08/08 16:46:37 - mmengine - INFO - Epoch(train) [112][140/529] lr: 5.000000e-04 eta: 5:13:30 time: 0.352965 data_time: 0.032408 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.867912 2023/08/08 16:46:40 - mmengine - INFO - Epoch(train) [112][150/529] lr: 5.000000e-04 eta: 5:13:26 time: 0.352716 data_time: 0.032497 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.889103 2023/08/08 16:46:44 - mmengine - INFO - Epoch(train) [112][160/529] lr: 5.000000e-04 eta: 5:13:23 time: 0.352265 data_time: 0.032275 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.822230 2023/08/08 16:46:47 - mmengine - INFO - Epoch(train) [112][170/529] lr: 5.000000e-04 eta: 5:13:19 time: 0.353072 data_time: 0.032354 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.899102 2023/08/08 16:46:51 - mmengine - INFO - Epoch(train) [112][180/529] lr: 5.000000e-04 eta: 5:13:16 time: 0.355910 data_time: 0.032962 memory: 4565 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.880576 2023/08/08 16:46:55 - mmengine - INFO - Epoch(train) [112][190/529] lr: 5.000000e-04 eta: 5:13:12 time: 0.359647 data_time: 0.037091 memory: 4565 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.898663 2023/08/08 16:46:58 - mmengine - INFO - Epoch(train) [112][200/529] lr: 5.000000e-04 eta: 5:13:09 time: 0.362500 data_time: 0.037523 memory: 4565 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.899274 2023/08/08 16:47:02 - mmengine - INFO - Epoch(train) [112][210/529] lr: 5.000000e-04 eta: 5:13:05 time: 0.363162 data_time: 0.037901 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.847549 2023/08/08 16:47:05 - mmengine - INFO - Epoch(train) [112][220/529] lr: 5.000000e-04 eta: 5:13:01 time: 0.360575 data_time: 0.037649 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.929201 2023/08/08 16:47:09 - mmengine - INFO - Epoch(train) [112][230/529] lr: 5.000000e-04 eta: 5:12:58 time: 0.363186 data_time: 0.036798 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.931151 2023/08/08 16:47:13 - mmengine - INFO - Epoch(train) [112][240/529] lr: 5.000000e-04 eta: 5:12:54 time: 0.358452 data_time: 0.033303 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.874498 2023/08/08 16:47:16 - mmengine - INFO - Epoch(train) [112][250/529] lr: 5.000000e-04 eta: 5:12:51 time: 0.359007 data_time: 0.034715 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.866423 2023/08/08 16:47:20 - mmengine - INFO - Epoch(train) [112][260/529] lr: 5.000000e-04 eta: 5:12:47 time: 0.360542 data_time: 0.034345 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.889646 2023/08/08 16:47:24 - mmengine - INFO - Epoch(train) [112][270/529] lr: 5.000000e-04 eta: 5:12:43 time: 0.363651 data_time: 0.034546 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.857910 2023/08/08 16:47:27 - mmengine - INFO - Epoch(train) [112][280/529] lr: 5.000000e-04 eta: 5:12:40 time: 0.363880 data_time: 0.034636 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.844916 2023/08/08 16:47:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:47:31 - mmengine - INFO - Epoch(train) [112][290/529] lr: 5.000000e-04 eta: 5:12:36 time: 0.364255 data_time: 0.033827 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.869721 2023/08/08 16:47:35 - mmengine - INFO - Epoch(train) [112][300/529] lr: 5.000000e-04 eta: 5:12:33 time: 0.365088 data_time: 0.031988 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.781845 2023/08/08 16:47:38 - mmengine - INFO - Epoch(train) [112][310/529] lr: 5.000000e-04 eta: 5:12:29 time: 0.365344 data_time: 0.032255 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.910013 2023/08/08 16:47:42 - mmengine - INFO - Epoch(train) [112][320/529] lr: 5.000000e-04 eta: 5:12:26 time: 0.364227 data_time: 0.032136 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.899093 2023/08/08 16:47:46 - mmengine - INFO - Epoch(train) [112][330/529] lr: 5.000000e-04 eta: 5:12:22 time: 0.363899 data_time: 0.032563 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.866195 2023/08/08 16:47:49 - mmengine - INFO - Epoch(train) [112][340/529] lr: 5.000000e-04 eta: 5:12:18 time: 0.364206 data_time: 0.032597 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.961455 2023/08/08 16:47:53 - mmengine - INFO - Epoch(train) [112][350/529] lr: 5.000000e-04 eta: 5:12:15 time: 0.367889 data_time: 0.033074 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.874521 2023/08/08 16:47:57 - mmengine - INFO - Epoch(train) [112][360/529] lr: 5.000000e-04 eta: 5:12:12 time: 0.373965 data_time: 0.032849 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.881874 2023/08/08 16:48:01 - mmengine - INFO - Epoch(train) [112][370/529] lr: 5.000000e-04 eta: 5:12:08 time: 0.375080 data_time: 0.033057 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.916256 2023/08/08 16:48:04 - mmengine - INFO - Epoch(train) [112][380/529] lr: 5.000000e-04 eta: 5:12:05 time: 0.369369 data_time: 0.032969 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.880281 2023/08/08 16:48:08 - mmengine - INFO - Epoch(train) [112][390/529] lr: 5.000000e-04 eta: 5:12:01 time: 0.373478 data_time: 0.033779 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.892355 2023/08/08 16:48:12 - mmengine - INFO - Epoch(train) [112][400/529] lr: 5.000000e-04 eta: 5:11:58 time: 0.372406 data_time: 0.037105 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.885144 2023/08/08 16:48:15 - mmengine - INFO - Epoch(train) [112][410/529] lr: 5.000000e-04 eta: 5:11:54 time: 0.364185 data_time: 0.036900 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.872834 2023/08/08 16:48:19 - mmengine - INFO - Epoch(train) [112][420/529] lr: 5.000000e-04 eta: 5:11:50 time: 0.361610 data_time: 0.036516 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.793982 2023/08/08 16:48:22 - mmengine - INFO - Epoch(train) [112][430/529] lr: 5.000000e-04 eta: 5:11:47 time: 0.365698 data_time: 0.036425 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.893856 2023/08/08 16:48:26 - mmengine - INFO - Epoch(train) [112][440/529] lr: 5.000000e-04 eta: 5:11:43 time: 0.363848 data_time: 0.035730 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.922241 2023/08/08 16:48:30 - mmengine - INFO - Epoch(train) [112][450/529] lr: 5.000000e-04 eta: 5:11:40 time: 0.360721 data_time: 0.032141 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.880236 2023/08/08 16:48:34 - mmengine - INFO - Epoch(train) [112][460/529] lr: 5.000000e-04 eta: 5:11:36 time: 0.368846 data_time: 0.032712 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.882259 2023/08/08 16:48:37 - mmengine - INFO - Epoch(train) [112][470/529] lr: 5.000000e-04 eta: 5:11:33 time: 0.369178 data_time: 0.033082 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.871108 2023/08/08 16:48:41 - mmengine - INFO - Epoch(train) [112][480/529] lr: 5.000000e-04 eta: 5:11:29 time: 0.372410 data_time: 0.033251 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.851183 2023/08/08 16:48:45 - mmengine - INFO - Epoch(train) [112][490/529] lr: 5.000000e-04 eta: 5:11:26 time: 0.378063 data_time: 0.033276 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.870730 2023/08/08 16:48:49 - mmengine - INFO - Epoch(train) [112][500/529] lr: 5.000000e-04 eta: 5:11:22 time: 0.378896 data_time: 0.033281 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.877921 2023/08/08 16:48:53 - mmengine - INFO - Epoch(train) [112][510/529] lr: 5.000000e-04 eta: 5:11:19 time: 0.379050 data_time: 0.033097 memory: 4565 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.876600 2023/08/08 16:48:56 - mmengine - INFO - Epoch(train) [112][520/529] lr: 5.000000e-04 eta: 5:11:16 time: 0.383680 data_time: 0.033105 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.905069 2023/08/08 16:48:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:49:03 - mmengine - INFO - Epoch(train) [113][ 10/529] lr: 5.000000e-04 eta: 5:11:09 time: 0.371978 data_time: 0.037070 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.918723 2023/08/08 16:49:07 - mmengine - INFO - Epoch(train) [113][ 20/529] lr: 5.000000e-04 eta: 5:11:05 time: 0.370850 data_time: 0.040519 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.805511 2023/08/08 16:49:10 - mmengine - INFO - Epoch(train) [113][ 30/529] lr: 5.000000e-04 eta: 5:11:02 time: 0.365279 data_time: 0.040506 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.896994 2023/08/08 16:49:14 - mmengine - INFO - Epoch(train) [113][ 40/529] lr: 5.000000e-04 eta: 5:10:58 time: 0.358945 data_time: 0.040132 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.911599 2023/08/08 16:49:18 - mmengine - INFO - Epoch(train) [113][ 50/529] lr: 5.000000e-04 eta: 5:10:54 time: 0.362393 data_time: 0.040681 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.872985 2023/08/08 16:49:21 - mmengine - INFO - Epoch(train) [113][ 60/529] lr: 5.000000e-04 eta: 5:10:51 time: 0.356556 data_time: 0.035800 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.884652 2023/08/08 16:49:25 - mmengine - INFO - Epoch(train) [113][ 70/529] lr: 5.000000e-04 eta: 5:10:47 time: 0.353258 data_time: 0.032143 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.925081 2023/08/08 16:49:28 - mmengine - INFO - Epoch(train) [113][ 80/529] lr: 5.000000e-04 eta: 5:10:43 time: 0.350503 data_time: 0.031631 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.857172 2023/08/08 16:49:32 - mmengine - INFO - Epoch(train) [113][ 90/529] lr: 5.000000e-04 eta: 5:10:40 time: 0.353816 data_time: 0.031581 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.862693 2023/08/08 16:49:35 - mmengine - INFO - Epoch(train) [113][100/529] lr: 5.000000e-04 eta: 5:10:36 time: 0.353276 data_time: 0.032115 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.882719 2023/08/08 16:49:39 - mmengine - INFO - Epoch(train) [113][110/529] lr: 5.000000e-04 eta: 5:10:32 time: 0.355411 data_time: 0.032278 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.888305 2023/08/08 16:49:42 - mmengine - INFO - Epoch(train) [113][120/529] lr: 5.000000e-04 eta: 5:10:29 time: 0.355958 data_time: 0.032513 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.882671 2023/08/08 16:49:46 - mmengine - INFO - Epoch(train) [113][130/529] lr: 5.000000e-04 eta: 5:10:25 time: 0.358152 data_time: 0.033057 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.894840 2023/08/08 16:49:49 - mmengine - INFO - Epoch(train) [113][140/529] lr: 5.000000e-04 eta: 5:10:21 time: 0.356007 data_time: 0.033427 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.871828 2023/08/08 16:49:53 - mmengine - INFO - Epoch(train) [113][150/529] lr: 5.000000e-04 eta: 5:10:18 time: 0.356138 data_time: 0.032823 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.901592 2023/08/08 16:49:57 - mmengine - INFO - Epoch(train) [113][160/529] lr: 5.000000e-04 eta: 5:10:14 time: 0.354661 data_time: 0.032780 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.852918 2023/08/08 16:50:00 - mmengine - INFO - Epoch(train) [113][170/529] lr: 5.000000e-04 eta: 5:10:11 time: 0.355377 data_time: 0.032546 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.884289 2023/08/08 16:50:04 - mmengine - INFO - Epoch(train) [113][180/529] lr: 5.000000e-04 eta: 5:10:07 time: 0.357417 data_time: 0.032284 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.936532 2023/08/08 16:50:07 - mmengine - INFO - Epoch(train) [113][190/529] lr: 5.000000e-04 eta: 5:10:03 time: 0.357450 data_time: 0.031861 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.935689 2023/08/08 16:50:11 - mmengine - INFO - Epoch(train) [113][200/529] lr: 5.000000e-04 eta: 5:10:00 time: 0.356543 data_time: 0.031648 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.864559 2023/08/08 16:50:14 - mmengine - INFO - Epoch(train) [113][210/529] lr: 5.000000e-04 eta: 5:09:56 time: 0.355569 data_time: 0.031502 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.855808 2023/08/08 16:50:18 - mmengine - INFO - Epoch(train) [113][220/529] lr: 5.000000e-04 eta: 5:09:52 time: 0.357022 data_time: 0.031954 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.884985 2023/08/08 16:50:21 - mmengine - INFO - Epoch(train) [113][230/529] lr: 5.000000e-04 eta: 5:09:49 time: 0.353184 data_time: 0.031730 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.906208 2023/08/08 16:50:25 - mmengine - INFO - Epoch(train) [113][240/529] lr: 5.000000e-04 eta: 5:09:45 time: 0.356781 data_time: 0.031706 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.934453 2023/08/08 16:50:29 - mmengine - INFO - Epoch(train) [113][250/529] lr: 5.000000e-04 eta: 5:09:42 time: 0.358680 data_time: 0.032005 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.883097 2023/08/08 16:50:33 - mmengine - INFO - Epoch(train) [113][260/529] lr: 5.000000e-04 eta: 5:09:38 time: 0.366709 data_time: 0.032778 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.901992 2023/08/08 16:50:37 - mmengine - INFO - Epoch(train) [113][270/529] lr: 5.000000e-04 eta: 5:09:35 time: 0.376468 data_time: 0.032684 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.946074 2023/08/08 16:50:41 - mmengine - INFO - Epoch(train) [113][280/529] lr: 5.000000e-04 eta: 5:09:32 time: 0.385694 data_time: 0.032645 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.898647 2023/08/08 16:50:44 - mmengine - INFO - Epoch(train) [113][290/529] lr: 5.000000e-04 eta: 5:09:28 time: 0.382936 data_time: 0.033009 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.927032 2023/08/08 16:50:48 - mmengine - INFO - Epoch(train) [113][300/529] lr: 5.000000e-04 eta: 5:09:25 time: 0.382694 data_time: 0.033629 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.868876 2023/08/08 16:50:51 - mmengine - INFO - Epoch(train) [113][310/529] lr: 5.000000e-04 eta: 5:09:21 time: 0.374536 data_time: 0.032809 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.913745 2023/08/08 16:50:55 - mmengine - INFO - Epoch(train) [113][320/529] lr: 5.000000e-04 eta: 5:09:17 time: 0.362121 data_time: 0.032477 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.963699 2023/08/08 16:50:59 - mmengine - INFO - Epoch(train) [113][330/529] lr: 5.000000e-04 eta: 5:09:14 time: 0.355519 data_time: 0.033251 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.846709 2023/08/08 16:51:02 - mmengine - INFO - Epoch(train) [113][340/529] lr: 5.000000e-04 eta: 5:09:10 time: 0.355560 data_time: 0.034071 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.888909 2023/08/08 16:51:06 - mmengine - INFO - Epoch(train) [113][350/529] lr: 5.000000e-04 eta: 5:09:07 time: 0.360639 data_time: 0.033910 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.927613 2023/08/08 16:51:10 - mmengine - INFO - Epoch(train) [113][360/529] lr: 5.000000e-04 eta: 5:09:03 time: 0.370701 data_time: 0.034192 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.818369 2023/08/08 16:51:14 - mmengine - INFO - Epoch(train) [113][370/529] lr: 5.000000e-04 eta: 5:09:00 time: 0.377214 data_time: 0.034867 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.841655 2023/08/08 16:51:17 - mmengine - INFO - Epoch(train) [113][380/529] lr: 5.000000e-04 eta: 5:08:56 time: 0.374779 data_time: 0.034640 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.920658 2023/08/08 16:51:21 - mmengine - INFO - Epoch(train) [113][390/529] lr: 5.000000e-04 eta: 5:08:53 time: 0.373925 data_time: 0.033638 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.869450 2023/08/08 16:51:24 - mmengine - INFO - Epoch(train) [113][400/529] lr: 5.000000e-04 eta: 5:08:49 time: 0.368725 data_time: 0.033383 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.915223 2023/08/08 16:51:28 - mmengine - INFO - Epoch(train) [113][410/529] lr: 5.000000e-04 eta: 5:08:45 time: 0.361030 data_time: 0.033660 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.858178 2023/08/08 16:51:32 - mmengine - INFO - Epoch(train) [113][420/529] lr: 5.000000e-04 eta: 5:08:42 time: 0.356098 data_time: 0.033814 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.902204 2023/08/08 16:51:35 - mmengine - INFO - Epoch(train) [113][430/529] lr: 5.000000e-04 eta: 5:08:38 time: 0.362490 data_time: 0.033976 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.916491 2023/08/08 16:51:39 - mmengine - INFO - Epoch(train) [113][440/529] lr: 5.000000e-04 eta: 5:08:35 time: 0.361427 data_time: 0.033801 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.895868 2023/08/08 16:51:43 - mmengine - INFO - Epoch(train) [113][450/529] lr: 5.000000e-04 eta: 5:08:31 time: 0.361191 data_time: 0.033431 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.884454 2023/08/08 16:51:46 - mmengine - INFO - Epoch(train) [113][460/529] lr: 5.000000e-04 eta: 5:08:27 time: 0.358978 data_time: 0.032916 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.900850 2023/08/08 16:51:50 - mmengine - INFO - Epoch(train) [113][470/529] lr: 5.000000e-04 eta: 5:08:24 time: 0.362908 data_time: 0.036053 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.905210 2023/08/08 16:51:53 - mmengine - INFO - Epoch(train) [113][480/529] lr: 5.000000e-04 eta: 5:08:20 time: 0.355688 data_time: 0.035281 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.905435 2023/08/08 16:51:57 - mmengine - INFO - Epoch(train) [113][490/529] lr: 5.000000e-04 eta: 5:08:16 time: 0.357875 data_time: 0.035427 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.915881 2023/08/08 16:52:00 - mmengine - INFO - Epoch(train) [113][500/529] lr: 5.000000e-04 eta: 5:08:13 time: 0.357280 data_time: 0.036755 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.902619 2023/08/08 16:52:04 - mmengine - INFO - Epoch(train) [113][510/529] lr: 5.000000e-04 eta: 5:08:09 time: 0.358035 data_time: 0.037060 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.938369 2023/08/08 16:52:07 - mmengine - INFO - Epoch(train) [113][520/529] lr: 5.000000e-04 eta: 5:08:05 time: 0.351927 data_time: 0.033193 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.946838 2023/08/08 16:52:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:52:14 - mmengine - INFO - Epoch(train) [114][ 10/529] lr: 5.000000e-04 eta: 5:07:59 time: 0.358702 data_time: 0.037835 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.927444 2023/08/08 16:52:18 - mmengine - INFO - Epoch(train) [114][ 20/529] lr: 5.000000e-04 eta: 5:07:55 time: 0.357118 data_time: 0.036939 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.893191 2023/08/08 16:52:22 - mmengine - INFO - Epoch(train) [114][ 30/529] lr: 5.000000e-04 eta: 5:07:51 time: 0.358689 data_time: 0.036903 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.955503 2023/08/08 16:52:25 - mmengine - INFO - Epoch(train) [114][ 40/529] lr: 5.000000e-04 eta: 5:07:48 time: 0.359111 data_time: 0.037105 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.870101 2023/08/08 16:52:28 - mmengine - INFO - Epoch(train) [114][ 50/529] lr: 5.000000e-04 eta: 5:07:44 time: 0.360822 data_time: 0.037371 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.948051 2023/08/08 16:52:32 - mmengine - INFO - Epoch(train) [114][ 60/529] lr: 5.000000e-04 eta: 5:07:40 time: 0.350242 data_time: 0.033007 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.888608 2023/08/08 16:52:35 - mmengine - INFO - Epoch(train) [114][ 70/529] lr: 5.000000e-04 eta: 5:07:37 time: 0.350566 data_time: 0.032611 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.924353 2023/08/08 16:52:39 - mmengine - INFO - Epoch(train) [114][ 80/529] lr: 5.000000e-04 eta: 5:07:33 time: 0.354421 data_time: 0.032398 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.923868 2023/08/08 16:52:43 - mmengine - INFO - Epoch(train) [114][ 90/529] lr: 5.000000e-04 eta: 5:07:30 time: 0.360790 data_time: 0.032475 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.899094 2023/08/08 16:52:47 - mmengine - INFO - Epoch(train) [114][100/529] lr: 5.000000e-04 eta: 5:07:26 time: 0.366871 data_time: 0.031963 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.880850 2023/08/08 16:52:50 - mmengine - INFO - Epoch(train) [114][110/529] lr: 5.000000e-04 eta: 5:07:23 time: 0.367522 data_time: 0.031992 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.868676 2023/08/08 16:52:54 - mmengine - INFO - Epoch(train) [114][120/529] lr: 5.000000e-04 eta: 5:07:19 time: 0.368651 data_time: 0.032456 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.948355 2023/08/08 16:52:57 - mmengine - INFO - Epoch(train) [114][130/529] lr: 5.000000e-04 eta: 5:07:15 time: 0.364770 data_time: 0.032382 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.840906 2023/08/08 16:53:01 - mmengine - INFO - Epoch(train) [114][140/529] lr: 5.000000e-04 eta: 5:07:12 time: 0.360133 data_time: 0.032197 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.888701 2023/08/08 16:53:05 - mmengine - INFO - Epoch(train) [114][150/529] lr: 5.000000e-04 eta: 5:07:08 time: 0.359698 data_time: 0.036178 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.864778 2023/08/08 16:53:08 - mmengine - INFO - Epoch(train) [114][160/529] lr: 5.000000e-04 eta: 5:07:05 time: 0.361366 data_time: 0.036039 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.917973 2023/08/08 16:53:12 - mmengine - INFO - Epoch(train) [114][170/529] lr: 5.000000e-04 eta: 5:07:01 time: 0.361216 data_time: 0.035518 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.852348 2023/08/08 16:53:16 - mmengine - INFO - Epoch(train) [114][180/529] lr: 5.000000e-04 eta: 5:06:58 time: 0.362545 data_time: 0.035542 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.883865 2023/08/08 16:53:19 - mmengine - INFO - Epoch(train) [114][190/529] lr: 5.000000e-04 eta: 5:06:54 time: 0.364953 data_time: 0.035452 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.874170 2023/08/08 16:53:23 - mmengine - INFO - Epoch(train) [114][200/529] lr: 5.000000e-04 eta: 5:06:50 time: 0.360582 data_time: 0.031651 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.851488 2023/08/08 16:53:26 - mmengine - INFO - Epoch(train) [114][210/529] lr: 5.000000e-04 eta: 5:06:47 time: 0.361739 data_time: 0.031668 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.843577 2023/08/08 16:53:30 - mmengine - INFO - Epoch(train) [114][220/529] lr: 5.000000e-04 eta: 5:06:43 time: 0.361804 data_time: 0.032133 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.897629 2023/08/08 16:53:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:53:34 - mmengine - INFO - Epoch(train) [114][230/529] lr: 5.000000e-04 eta: 5:06:39 time: 0.358626 data_time: 0.032326 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.909483 2023/08/08 16:53:37 - mmengine - INFO - Epoch(train) [114][240/529] lr: 5.000000e-04 eta: 5:06:36 time: 0.362668 data_time: 0.032446 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.860778 2023/08/08 16:53:41 - mmengine - INFO - Epoch(train) [114][250/529] lr: 5.000000e-04 eta: 5:06:32 time: 0.361685 data_time: 0.032417 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.847821 2023/08/08 16:53:45 - mmengine - INFO - Epoch(train) [114][260/529] lr: 5.000000e-04 eta: 5:06:29 time: 0.360084 data_time: 0.032620 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.908229 2023/08/08 16:53:48 - mmengine - INFO - Epoch(train) [114][270/529] lr: 5.000000e-04 eta: 5:06:25 time: 0.358943 data_time: 0.032781 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.906852 2023/08/08 16:53:52 - mmengine - INFO - Epoch(train) [114][280/529] lr: 5.000000e-04 eta: 5:06:21 time: 0.360774 data_time: 0.032969 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.884290 2023/08/08 16:53:55 - mmengine - INFO - Epoch(train) [114][290/529] lr: 5.000000e-04 eta: 5:06:18 time: 0.352899 data_time: 0.032996 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.926711 2023/08/08 16:53:59 - mmengine - INFO - Epoch(train) [114][300/529] lr: 5.000000e-04 eta: 5:06:14 time: 0.356748 data_time: 0.033274 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.884892 2023/08/08 16:54:03 - mmengine - INFO - Epoch(train) [114][310/529] lr: 5.000000e-04 eta: 5:06:11 time: 0.362983 data_time: 0.033773 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.869176 2023/08/08 16:54:06 - mmengine - INFO - Epoch(train) [114][320/529] lr: 5.000000e-04 eta: 5:06:07 time: 0.362668 data_time: 0.033526 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.917107 2023/08/08 16:54:10 - mmengine - INFO - Epoch(train) [114][330/529] lr: 5.000000e-04 eta: 5:06:04 time: 0.362463 data_time: 0.033286 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.837173 2023/08/08 16:54:13 - mmengine - INFO - Epoch(train) [114][340/529] lr: 5.000000e-04 eta: 5:06:00 time: 0.365437 data_time: 0.033405 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.905981 2023/08/08 16:54:17 - mmengine - INFO - Epoch(train) [114][350/529] lr: 5.000000e-04 eta: 5:05:56 time: 0.363712 data_time: 0.033640 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.868729 2023/08/08 16:54:21 - mmengine - INFO - Epoch(train) [114][360/529] lr: 5.000000e-04 eta: 5:05:53 time: 0.357430 data_time: 0.032788 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.970727 2023/08/08 16:54:24 - mmengine - INFO - Epoch(train) [114][370/529] lr: 5.000000e-04 eta: 5:05:49 time: 0.361549 data_time: 0.036339 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.925548 2023/08/08 16:54:28 - mmengine - INFO - Epoch(train) [114][380/529] lr: 5.000000e-04 eta: 5:05:46 time: 0.359912 data_time: 0.036315 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.898494 2023/08/08 16:54:31 - mmengine - INFO - Epoch(train) [114][390/529] lr: 5.000000e-04 eta: 5:05:42 time: 0.360647 data_time: 0.036789 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.872666 2023/08/08 16:54:35 - mmengine - INFO - Epoch(train) [114][400/529] lr: 5.000000e-04 eta: 5:05:38 time: 0.359670 data_time: 0.036381 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.910712 2023/08/08 16:54:39 - mmengine - INFO - Epoch(train) [114][410/529] lr: 5.000000e-04 eta: 5:05:35 time: 0.359639 data_time: 0.037080 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.942202 2023/08/08 16:54:42 - mmengine - INFO - Epoch(train) [114][420/529] lr: 5.000000e-04 eta: 5:05:31 time: 0.354788 data_time: 0.033301 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.916886 2023/08/08 16:54:45 - mmengine - INFO - Epoch(train) [114][430/529] lr: 5.000000e-04 eta: 5:05:27 time: 0.354151 data_time: 0.032954 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.901893 2023/08/08 16:54:49 - mmengine - INFO - Epoch(train) [114][440/529] lr: 5.000000e-04 eta: 5:05:24 time: 0.351433 data_time: 0.032171 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.880738 2023/08/08 16:54:53 - mmengine - INFO - Epoch(train) [114][450/529] lr: 5.000000e-04 eta: 5:05:20 time: 0.352543 data_time: 0.032449 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.865767 2023/08/08 16:54:56 - mmengine - INFO - Epoch(train) [114][460/529] lr: 5.000000e-04 eta: 5:05:16 time: 0.354589 data_time: 0.032330 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.857826 2023/08/08 16:55:00 - mmengine - INFO - Epoch(train) [114][470/529] lr: 5.000000e-04 eta: 5:05:13 time: 0.356203 data_time: 0.032610 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.866737 2023/08/08 16:55:04 - mmengine - INFO - Epoch(train) [114][480/529] lr: 5.000000e-04 eta: 5:05:09 time: 0.360917 data_time: 0.033117 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.910217 2023/08/08 16:55:07 - mmengine - INFO - Epoch(train) [114][490/529] lr: 5.000000e-04 eta: 5:05:06 time: 0.363181 data_time: 0.033624 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.889621 2023/08/08 16:55:11 - mmengine - INFO - Epoch(train) [114][500/529] lr: 5.000000e-04 eta: 5:05:02 time: 0.365564 data_time: 0.034073 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.900605 2023/08/08 16:55:14 - mmengine - INFO - Epoch(train) [114][510/529] lr: 5.000000e-04 eta: 5:04:59 time: 0.362607 data_time: 0.033542 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.924992 2023/08/08 16:55:18 - mmengine - INFO - Epoch(train) [114][520/529] lr: 5.000000e-04 eta: 5:04:55 time: 0.364552 data_time: 0.033414 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.878119 2023/08/08 16:55:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:55:25 - mmengine - INFO - Epoch(train) [115][ 10/529] lr: 5.000000e-04 eta: 5:04:48 time: 0.365306 data_time: 0.036996 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.897736 2023/08/08 16:55:29 - mmengine - INFO - Epoch(train) [115][ 20/529] lr: 5.000000e-04 eta: 5:04:45 time: 0.361475 data_time: 0.036123 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.860826 2023/08/08 16:55:32 - mmengine - INFO - Epoch(train) [115][ 30/529] lr: 5.000000e-04 eta: 5:04:41 time: 0.362594 data_time: 0.036115 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.892608 2023/08/08 16:55:36 - mmengine - INFO - Epoch(train) [115][ 40/529] lr: 5.000000e-04 eta: 5:04:37 time: 0.361434 data_time: 0.035843 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.901938 2023/08/08 16:55:40 - mmengine - INFO - Epoch(train) [115][ 50/529] lr: 5.000000e-04 eta: 5:04:34 time: 0.366287 data_time: 0.039876 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.883314 2023/08/08 16:55:43 - mmengine - INFO - Epoch(train) [115][ 60/529] lr: 5.000000e-04 eta: 5:04:30 time: 0.360264 data_time: 0.036569 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.919176 2023/08/08 16:55:47 - mmengine - INFO - Epoch(train) [115][ 70/529] lr: 5.000000e-04 eta: 5:04:27 time: 0.364357 data_time: 0.037501 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.899502 2023/08/08 16:55:51 - mmengine - INFO - Epoch(train) [115][ 80/529] lr: 5.000000e-04 eta: 5:04:23 time: 0.366799 data_time: 0.038000 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.865622 2023/08/08 16:55:54 - mmengine - INFO - Epoch(train) [115][ 90/529] lr: 5.000000e-04 eta: 5:04:20 time: 0.366074 data_time: 0.038148 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.930011 2023/08/08 16:55:58 - mmengine - INFO - Epoch(train) [115][100/529] lr: 5.000000e-04 eta: 5:04:16 time: 0.361812 data_time: 0.034175 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.912590 2023/08/08 16:56:02 - mmengine - INFO - Epoch(train) [115][110/529] lr: 5.000000e-04 eta: 5:04:13 time: 0.368377 data_time: 0.033675 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.878324 2023/08/08 16:56:05 - mmengine - INFO - Epoch(train) [115][120/529] lr: 5.000000e-04 eta: 5:04:09 time: 0.370313 data_time: 0.033243 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.849330 2023/08/08 16:56:09 - mmengine - INFO - Epoch(train) [115][130/529] lr: 5.000000e-04 eta: 5:04:06 time: 0.373370 data_time: 0.032767 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.880733 2023/08/08 16:56:13 - mmengine - INFO - Epoch(train) [115][140/529] lr: 5.000000e-04 eta: 5:04:02 time: 0.376913 data_time: 0.033230 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.887288 2023/08/08 16:56:17 - mmengine - INFO - Epoch(train) [115][150/529] lr: 5.000000e-04 eta: 5:03:59 time: 0.377578 data_time: 0.033654 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.866651 2023/08/08 16:56:20 - mmengine - INFO - Epoch(train) [115][160/529] lr: 5.000000e-04 eta: 5:03:55 time: 0.370635 data_time: 0.033378 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.854873 2023/08/08 16:56:24 - mmengine - INFO - Epoch(train) [115][170/529] lr: 5.000000e-04 eta: 5:03:51 time: 0.364884 data_time: 0.033363 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.872130 2023/08/08 16:56:27 - mmengine - INFO - Epoch(train) [115][180/529] lr: 5.000000e-04 eta: 5:03:48 time: 0.361075 data_time: 0.033306 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.922233 2023/08/08 16:56:31 - mmengine - INFO - Epoch(train) [115][190/529] lr: 5.000000e-04 eta: 5:03:44 time: 0.362602 data_time: 0.032716 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.895409 2023/08/08 16:56:35 - mmengine - INFO - Epoch(train) [115][200/529] lr: 5.000000e-04 eta: 5:03:41 time: 0.364731 data_time: 0.032887 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.883114 2023/08/08 16:56:38 - mmengine - INFO - Epoch(train) [115][210/529] lr: 5.000000e-04 eta: 5:03:37 time: 0.365615 data_time: 0.032934 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.876451 2023/08/08 16:56:42 - mmengine - INFO - Epoch(train) [115][220/529] lr: 5.000000e-04 eta: 5:03:34 time: 0.365654 data_time: 0.032788 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.835205 2023/08/08 16:56:46 - mmengine - INFO - Epoch(train) [115][230/529] lr: 5.000000e-04 eta: 5:03:30 time: 0.363760 data_time: 0.033279 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.908329 2023/08/08 16:56:49 - mmengine - INFO - Epoch(train) [115][240/529] lr: 5.000000e-04 eta: 5:03:26 time: 0.359431 data_time: 0.033632 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.885505 2023/08/08 16:56:53 - mmengine - INFO - Epoch(train) [115][250/529] lr: 5.000000e-04 eta: 5:03:23 time: 0.361838 data_time: 0.033428 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.897354 2023/08/08 16:56:57 - mmengine - INFO - Epoch(train) [115][260/529] lr: 5.000000e-04 eta: 5:03:20 time: 0.367255 data_time: 0.033466 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.869647 2023/08/08 16:57:00 - mmengine - INFO - Epoch(train) [115][270/529] lr: 5.000000e-04 eta: 5:03:16 time: 0.370048 data_time: 0.033365 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.870883 2023/08/08 16:57:04 - mmengine - INFO - Epoch(train) [115][280/529] lr: 5.000000e-04 eta: 5:03:13 time: 0.375656 data_time: 0.032968 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.926994 2023/08/08 16:57:08 - mmengine - INFO - Epoch(train) [115][290/529] lr: 5.000000e-04 eta: 5:03:09 time: 0.375469 data_time: 0.032627 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.919819 2023/08/08 16:57:12 - mmengine - INFO - Epoch(train) [115][300/529] lr: 5.000000e-04 eta: 5:03:05 time: 0.372404 data_time: 0.032391 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.909738 2023/08/08 16:57:15 - mmengine - INFO - Epoch(train) [115][310/529] lr: 5.000000e-04 eta: 5:03:02 time: 0.366668 data_time: 0.032165 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.835126 2023/08/08 16:57:19 - mmengine - INFO - Epoch(train) [115][320/529] lr: 5.000000e-04 eta: 5:02:58 time: 0.365989 data_time: 0.032415 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.873572 2023/08/08 16:57:22 - mmengine - INFO - Epoch(train) [115][330/529] lr: 5.000000e-04 eta: 5:02:55 time: 0.360419 data_time: 0.032434 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.912079 2023/08/08 16:57:26 - mmengine - INFO - Epoch(train) [115][340/529] lr: 5.000000e-04 eta: 5:02:51 time: 0.360805 data_time: 0.033116 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.880304 2023/08/08 16:57:30 - mmengine - INFO - Epoch(train) [115][350/529] lr: 5.000000e-04 eta: 5:02:47 time: 0.359898 data_time: 0.033203 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.915114 2023/08/08 16:57:33 - mmengine - INFO - Epoch(train) [115][360/529] lr: 5.000000e-04 eta: 5:02:44 time: 0.360662 data_time: 0.033373 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.901820 2023/08/08 16:57:37 - mmengine - INFO - Epoch(train) [115][370/529] lr: 5.000000e-04 eta: 5:02:40 time: 0.361183 data_time: 0.033192 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.870487 2023/08/08 16:57:41 - mmengine - INFO - Epoch(train) [115][380/529] lr: 5.000000e-04 eta: 5:02:37 time: 0.364340 data_time: 0.033197 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.890737 2023/08/08 16:57:44 - mmengine - INFO - Epoch(train) [115][390/529] lr: 5.000000e-04 eta: 5:02:33 time: 0.365863 data_time: 0.033047 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.926516 2023/08/08 16:57:48 - mmengine - INFO - Epoch(train) [115][400/529] lr: 5.000000e-04 eta: 5:02:30 time: 0.365627 data_time: 0.033332 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.903135 2023/08/08 16:57:52 - mmengine - INFO - Epoch(train) [115][410/529] lr: 5.000000e-04 eta: 5:02:26 time: 0.367421 data_time: 0.033643 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.906709 2023/08/08 16:57:55 - mmengine - INFO - Epoch(train) [115][420/529] lr: 5.000000e-04 eta: 5:02:22 time: 0.364709 data_time: 0.033474 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.866141 2023/08/08 16:57:59 - mmengine - INFO - Epoch(train) [115][430/529] lr: 5.000000e-04 eta: 5:02:19 time: 0.364794 data_time: 0.033923 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.844595 2023/08/08 16:58:03 - mmengine - INFO - Epoch(train) [115][440/529] lr: 5.000000e-04 eta: 5:02:15 time: 0.366787 data_time: 0.034012 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.860536 2023/08/08 16:58:06 - mmengine - INFO - Epoch(train) [115][450/529] lr: 5.000000e-04 eta: 5:02:12 time: 0.365567 data_time: 0.033630 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.902161 2023/08/08 16:58:10 - mmengine - INFO - Epoch(train) [115][460/529] lr: 5.000000e-04 eta: 5:02:08 time: 0.362437 data_time: 0.033004 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.897280 2023/08/08 16:58:13 - mmengine - INFO - Epoch(train) [115][470/529] lr: 5.000000e-04 eta: 5:02:04 time: 0.362098 data_time: 0.033005 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.887133 2023/08/08 16:58:17 - mmengine - INFO - Epoch(train) [115][480/529] lr: 5.000000e-04 eta: 5:02:01 time: 0.357699 data_time: 0.032384 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.886669 2023/08/08 16:58:20 - mmengine - INFO - Epoch(train) [115][490/529] lr: 5.000000e-04 eta: 5:01:57 time: 0.356220 data_time: 0.031889 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.817040 2023/08/08 16:58:24 - mmengine - INFO - Epoch(train) [115][500/529] lr: 5.000000e-04 eta: 5:01:54 time: 0.363387 data_time: 0.035686 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.851166 2023/08/08 16:58:28 - mmengine - INFO - Epoch(train) [115][510/529] lr: 5.000000e-04 eta: 5:01:51 time: 0.369386 data_time: 0.036261 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.924938 2023/08/08 16:58:32 - mmengine - INFO - Epoch(train) [115][520/529] lr: 5.000000e-04 eta: 5:01:47 time: 0.369241 data_time: 0.036098 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.888048 2023/08/08 16:58:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:58:39 - mmengine - INFO - Epoch(train) [116][ 10/529] lr: 5.000000e-04 eta: 5:01:40 time: 0.373235 data_time: 0.039991 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.837790 2023/08/08 16:58:42 - mmengine - INFO - Epoch(train) [116][ 20/529] lr: 5.000000e-04 eta: 5:01:37 time: 0.368243 data_time: 0.036363 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.931651 2023/08/08 16:58:46 - mmengine - INFO - Epoch(train) [116][ 30/529] lr: 5.000000e-04 eta: 5:01:33 time: 0.362653 data_time: 0.035772 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.906562 2023/08/08 16:58:50 - mmengine - INFO - Epoch(train) [116][ 40/529] lr: 5.000000e-04 eta: 5:01:29 time: 0.367198 data_time: 0.035772 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.906663 2023/08/08 16:58:53 - mmengine - INFO - Epoch(train) [116][ 50/529] lr: 5.000000e-04 eta: 5:01:26 time: 0.370125 data_time: 0.036034 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.948760 2023/08/08 16:58:57 - mmengine - INFO - Epoch(train) [116][ 60/529] lr: 5.000000e-04 eta: 5:01:22 time: 0.365917 data_time: 0.031839 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.905511 2023/08/08 16:59:01 - mmengine - INFO - Epoch(train) [116][ 70/529] lr: 5.000000e-04 eta: 5:01:19 time: 0.364540 data_time: 0.031973 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.869348 2023/08/08 16:59:04 - mmengine - INFO - Epoch(train) [116][ 80/529] lr: 5.000000e-04 eta: 5:01:15 time: 0.366016 data_time: 0.032458 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.882228 2023/08/08 16:59:08 - mmengine - INFO - Epoch(train) [116][ 90/529] lr: 5.000000e-04 eta: 5:01:12 time: 0.364663 data_time: 0.033327 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.841576 2023/08/08 16:59:12 - mmengine - INFO - Epoch(train) [116][100/529] lr: 5.000000e-04 eta: 5:01:08 time: 0.369065 data_time: 0.033995 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.900017 2023/08/08 16:59:16 - mmengine - INFO - Epoch(train) [116][110/529] lr: 5.000000e-04 eta: 5:01:05 time: 0.371344 data_time: 0.034197 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.901181 2023/08/08 16:59:19 - mmengine - INFO - Epoch(train) [116][120/529] lr: 5.000000e-04 eta: 5:01:01 time: 0.371360 data_time: 0.033790 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.890010 2023/08/08 16:59:23 - mmengine - INFO - Epoch(train) [116][130/529] lr: 5.000000e-04 eta: 5:00:58 time: 0.370807 data_time: 0.033168 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.847722 2023/08/08 16:59:27 - mmengine - INFO - Epoch(train) [116][140/529] lr: 5.000000e-04 eta: 5:00:54 time: 0.377880 data_time: 0.032213 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.909960 2023/08/08 16:59:31 - mmengine - INFO - Epoch(train) [116][150/529] lr: 5.000000e-04 eta: 5:00:51 time: 0.379025 data_time: 0.035370 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.904539 2023/08/08 16:59:35 - mmengine - INFO - Epoch(train) [116][160/529] lr: 5.000000e-04 eta: 5:00:48 time: 0.378433 data_time: 0.034929 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.896302 2023/08/08 16:59:36 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 16:59:38 - mmengine - INFO - Epoch(train) [116][170/529] lr: 5.000000e-04 eta: 5:00:44 time: 0.380242 data_time: 0.035346 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.892665 2023/08/08 16:59:42 - mmengine - INFO - Epoch(train) [116][180/529] lr: 5.000000e-04 eta: 5:00:40 time: 0.380789 data_time: 0.035817 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.874680 2023/08/08 16:59:45 - mmengine - INFO - Epoch(train) [116][190/529] lr: 5.000000e-04 eta: 5:00:37 time: 0.371301 data_time: 0.036184 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.913259 2023/08/08 16:59:49 - mmengine - INFO - Epoch(train) [116][200/529] lr: 5.000000e-04 eta: 5:00:33 time: 0.363959 data_time: 0.032571 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.928692 2023/08/08 16:59:53 - mmengine - INFO - Epoch(train) [116][210/529] lr: 5.000000e-04 eta: 5:00:30 time: 0.362572 data_time: 0.033276 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.889503 2023/08/08 16:59:56 - mmengine - INFO - Epoch(train) [116][220/529] lr: 5.000000e-04 eta: 5:00:26 time: 0.360039 data_time: 0.032923 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.840443 2023/08/08 17:00:00 - mmengine - INFO - Epoch(train) [116][230/529] lr: 5.000000e-04 eta: 5:00:22 time: 0.360160 data_time: 0.032799 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.906534 2023/08/08 17:00:03 - mmengine - INFO - Epoch(train) [116][240/529] lr: 5.000000e-04 eta: 5:00:19 time: 0.359984 data_time: 0.032466 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.851336 2023/08/08 17:00:07 - mmengine - INFO - Epoch(train) [116][250/529] lr: 5.000000e-04 eta: 5:00:15 time: 0.361830 data_time: 0.032359 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.849433 2023/08/08 17:00:11 - mmengine - INFO - Epoch(train) [116][260/529] lr: 5.000000e-04 eta: 5:00:12 time: 0.366391 data_time: 0.031866 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.871730 2023/08/08 17:00:15 - mmengine - INFO - Epoch(train) [116][270/529] lr: 5.000000e-04 eta: 5:00:08 time: 0.370332 data_time: 0.032334 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.870512 2023/08/08 17:00:18 - mmengine - INFO - Epoch(train) [116][280/529] lr: 5.000000e-04 eta: 5:00:05 time: 0.370242 data_time: 0.031912 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.893347 2023/08/08 17:00:22 - mmengine - INFO - Epoch(train) [116][290/529] lr: 5.000000e-04 eta: 5:00:01 time: 0.370915 data_time: 0.032482 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.941162 2023/08/08 17:00:26 - mmengine - INFO - Epoch(train) [116][300/529] lr: 5.000000e-04 eta: 4:59:58 time: 0.369100 data_time: 0.032850 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.924079 2023/08/08 17:00:29 - mmengine - INFO - Epoch(train) [116][310/529] lr: 5.000000e-04 eta: 4:59:54 time: 0.362618 data_time: 0.032828 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.895734 2023/08/08 17:00:33 - mmengine - INFO - Epoch(train) [116][320/529] lr: 5.000000e-04 eta: 4:59:50 time: 0.358745 data_time: 0.032887 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.884201 2023/08/08 17:00:37 - mmengine - INFO - Epoch(train) [116][330/529] lr: 5.000000e-04 eta: 4:59:47 time: 0.362321 data_time: 0.033283 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.864539 2023/08/08 17:00:40 - mmengine - INFO - Epoch(train) [116][340/529] lr: 5.000000e-04 eta: 4:59:43 time: 0.365186 data_time: 0.032748 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.889965 2023/08/08 17:00:44 - mmengine - INFO - Epoch(train) [116][350/529] lr: 5.000000e-04 eta: 4:59:40 time: 0.366281 data_time: 0.032237 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.904620 2023/08/08 17:00:48 - mmengine - INFO - Epoch(train) [116][360/529] lr: 5.000000e-04 eta: 4:59:36 time: 0.368933 data_time: 0.032181 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.905924 2023/08/08 17:00:51 - mmengine - INFO - Epoch(train) [116][370/529] lr: 5.000000e-04 eta: 4:59:33 time: 0.368979 data_time: 0.031852 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.868146 2023/08/08 17:00:55 - mmengine - INFO - Epoch(train) [116][380/529] lr: 5.000000e-04 eta: 4:59:29 time: 0.364631 data_time: 0.032370 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.907732 2023/08/08 17:00:58 - mmengine - INFO - Epoch(train) [116][390/529] lr: 5.000000e-04 eta: 4:59:25 time: 0.360952 data_time: 0.032412 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.939516 2023/08/08 17:01:02 - mmengine - INFO - Epoch(train) [116][400/529] lr: 5.000000e-04 eta: 4:59:22 time: 0.362775 data_time: 0.032373 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.891382 2023/08/08 17:01:06 - mmengine - INFO - Epoch(train) [116][410/529] lr: 5.000000e-04 eta: 4:59:18 time: 0.361288 data_time: 0.032544 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.900646 2023/08/08 17:01:09 - mmengine - INFO - Epoch(train) [116][420/529] lr: 5.000000e-04 eta: 4:59:15 time: 0.362972 data_time: 0.032765 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.922917 2023/08/08 17:01:13 - mmengine - INFO - Epoch(train) [116][430/529] lr: 5.000000e-04 eta: 4:59:11 time: 0.364278 data_time: 0.031989 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.892529 2023/08/08 17:01:17 - mmengine - INFO - Epoch(train) [116][440/529] lr: 5.000000e-04 eta: 4:59:08 time: 0.365817 data_time: 0.032777 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.871938 2023/08/08 17:01:20 - mmengine - INFO - Epoch(train) [116][450/529] lr: 5.000000e-04 eta: 4:59:04 time: 0.363237 data_time: 0.033264 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.886215 2023/08/08 17:01:24 - mmengine - INFO - Epoch(train) [116][460/529] lr: 5.000000e-04 eta: 4:59:00 time: 0.363755 data_time: 0.033330 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.889663 2023/08/08 17:01:27 - mmengine - INFO - Epoch(train) [116][470/529] lr: 5.000000e-04 eta: 4:58:57 time: 0.364001 data_time: 0.033185 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.903538 2023/08/08 17:01:31 - mmengine - INFO - Epoch(train) [116][480/529] lr: 5.000000e-04 eta: 4:58:53 time: 0.366123 data_time: 0.033857 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.902396 2023/08/08 17:01:35 - mmengine - INFO - Epoch(train) [116][490/529] lr: 5.000000e-04 eta: 4:58:50 time: 0.364950 data_time: 0.033234 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.870013 2023/08/08 17:01:39 - mmengine - INFO - Epoch(train) [116][500/529] lr: 5.000000e-04 eta: 4:58:46 time: 0.368191 data_time: 0.033090 memory: 4565 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.924937 2023/08/08 17:01:42 - mmengine - INFO - Epoch(train) [116][510/529] lr: 5.000000e-04 eta: 4:58:43 time: 0.365389 data_time: 0.032777 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.852100 2023/08/08 17:01:46 - mmengine - INFO - Epoch(train) [116][520/529] lr: 5.000000e-04 eta: 4:58:39 time: 0.365314 data_time: 0.032722 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.873301 2023/08/08 17:01:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:01:53 - mmengine - INFO - Epoch(train) [117][ 10/529] lr: 5.000000e-04 eta: 4:58:33 time: 0.369661 data_time: 0.036342 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.890357 2023/08/08 17:01:57 - mmengine - INFO - Epoch(train) [117][ 20/529] lr: 5.000000e-04 eta: 4:58:29 time: 0.364849 data_time: 0.036096 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.896965 2023/08/08 17:02:00 - mmengine - INFO - Epoch(train) [117][ 30/529] lr: 5.000000e-04 eta: 4:58:25 time: 0.363178 data_time: 0.036043 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.906577 2023/08/08 17:02:04 - mmengine - INFO - Epoch(train) [117][ 40/529] lr: 5.000000e-04 eta: 4:58:22 time: 0.362600 data_time: 0.035831 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.961415 2023/08/08 17:02:07 - mmengine - INFO - Epoch(train) [117][ 50/529] lr: 5.000000e-04 eta: 4:58:18 time: 0.369625 data_time: 0.036945 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.864705 2023/08/08 17:02:11 - mmengine - INFO - Epoch(train) [117][ 60/529] lr: 5.000000e-04 eta: 4:58:14 time: 0.358409 data_time: 0.031685 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.836571 2023/08/08 17:02:15 - mmengine - INFO - Epoch(train) [117][ 70/529] lr: 5.000000e-04 eta: 4:58:11 time: 0.359683 data_time: 0.032212 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.926689 2023/08/08 17:02:18 - mmengine - INFO - Epoch(train) [117][ 80/529] lr: 5.000000e-04 eta: 4:58:07 time: 0.361600 data_time: 0.032635 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.891690 2023/08/08 17:02:22 - mmengine - INFO - Epoch(train) [117][ 90/529] lr: 5.000000e-04 eta: 4:58:04 time: 0.362181 data_time: 0.032945 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.907176 2023/08/08 17:02:25 - mmengine - INFO - Epoch(train) [117][100/529] lr: 5.000000e-04 eta: 4:58:00 time: 0.354438 data_time: 0.032567 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.837751 2023/08/08 17:02:29 - mmengine - INFO - Epoch(train) [117][110/529] lr: 5.000000e-04 eta: 4:57:56 time: 0.353283 data_time: 0.032430 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.904398 2023/08/08 17:02:32 - mmengine - INFO - Epoch(train) [117][120/529] lr: 5.000000e-04 eta: 4:57:52 time: 0.352596 data_time: 0.032248 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.833304 2023/08/08 17:02:36 - mmengine - INFO - Epoch(train) [117][130/529] lr: 5.000000e-04 eta: 4:57:49 time: 0.351869 data_time: 0.032223 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.883442 2023/08/08 17:02:39 - mmengine - INFO - Epoch(train) [117][140/529] lr: 5.000000e-04 eta: 4:57:45 time: 0.351471 data_time: 0.032831 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.891258 2023/08/08 17:02:43 - mmengine - INFO - Epoch(train) [117][150/529] lr: 5.000000e-04 eta: 4:57:42 time: 0.355360 data_time: 0.034279 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.893027 2023/08/08 17:02:47 - mmengine - INFO - Epoch(train) [117][160/529] lr: 5.000000e-04 eta: 4:57:38 time: 0.360510 data_time: 0.035119 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.882739 2023/08/08 17:02:50 - mmengine - INFO - Epoch(train) [117][170/529] lr: 5.000000e-04 eta: 4:57:35 time: 0.364783 data_time: 0.038843 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.848863 2023/08/08 17:02:54 - mmengine - INFO - Epoch(train) [117][180/529] lr: 5.000000e-04 eta: 4:57:31 time: 0.368167 data_time: 0.039136 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.916741 2023/08/08 17:02:58 - mmengine - INFO - Epoch(train) [117][190/529] lr: 5.000000e-04 eta: 4:57:28 time: 0.369912 data_time: 0.038998 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.892711 2023/08/08 17:03:02 - mmengine - INFO - Epoch(train) [117][200/529] lr: 5.000000e-04 eta: 4:57:24 time: 0.373457 data_time: 0.038407 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.957302 2023/08/08 17:03:05 - mmengine - INFO - Epoch(train) [117][210/529] lr: 5.000000e-04 eta: 4:57:21 time: 0.371534 data_time: 0.037916 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.924472 2023/08/08 17:03:09 - mmengine - INFO - Epoch(train) [117][220/529] lr: 5.000000e-04 eta: 4:57:17 time: 0.367066 data_time: 0.033994 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.918915 2023/08/08 17:03:12 - mmengine - INFO - Epoch(train) [117][230/529] lr: 5.000000e-04 eta: 4:57:13 time: 0.363045 data_time: 0.033346 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.868994 2023/08/08 17:03:16 - mmengine - INFO - Epoch(train) [117][240/529] lr: 5.000000e-04 eta: 4:57:10 time: 0.358781 data_time: 0.033085 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.936085 2023/08/08 17:03:19 - mmengine - INFO - Epoch(train) [117][250/529] lr: 5.000000e-04 eta: 4:57:06 time: 0.352855 data_time: 0.032744 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.904300 2023/08/08 17:03:23 - mmengine - INFO - Epoch(train) [117][260/529] lr: 5.000000e-04 eta: 4:57:02 time: 0.353692 data_time: 0.032894 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.900518 2023/08/08 17:03:26 - mmengine - INFO - Epoch(train) [117][270/529] lr: 5.000000e-04 eta: 4:56:59 time: 0.352894 data_time: 0.032976 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.883704 2023/08/08 17:03:30 - mmengine - INFO - Epoch(train) [117][280/529] lr: 5.000000e-04 eta: 4:56:55 time: 0.354496 data_time: 0.033803 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.920188 2023/08/08 17:03:34 - mmengine - INFO - Epoch(train) [117][290/529] lr: 5.000000e-04 eta: 4:56:51 time: 0.360434 data_time: 0.034486 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.831537 2023/08/08 17:03:37 - mmengine - INFO - Epoch(train) [117][300/529] lr: 5.000000e-04 eta: 4:56:48 time: 0.362379 data_time: 0.034143 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.886263 2023/08/08 17:03:41 - mmengine - INFO - Epoch(train) [117][310/529] lr: 5.000000e-04 eta: 4:56:45 time: 0.368759 data_time: 0.033588 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.909595 2023/08/08 17:03:45 - mmengine - INFO - Epoch(train) [117][320/529] lr: 5.000000e-04 eta: 4:56:41 time: 0.375888 data_time: 0.033948 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.912478 2023/08/08 17:03:49 - mmengine - INFO - Epoch(train) [117][330/529] lr: 5.000000e-04 eta: 4:56:38 time: 0.382260 data_time: 0.033631 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.888990 2023/08/08 17:03:53 - mmengine - INFO - Epoch(train) [117][340/529] lr: 5.000000e-04 eta: 4:56:34 time: 0.381102 data_time: 0.032999 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.895794 2023/08/08 17:03:56 - mmengine - INFO - Epoch(train) [117][350/529] lr: 5.000000e-04 eta: 4:56:31 time: 0.378470 data_time: 0.033044 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.905549 2023/08/08 17:04:00 - mmengine - INFO - Epoch(train) [117][360/529] lr: 5.000000e-04 eta: 4:56:27 time: 0.368985 data_time: 0.033140 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.900486 2023/08/08 17:04:03 - mmengine - INFO - Epoch(train) [117][370/529] lr: 5.000000e-04 eta: 4:56:23 time: 0.360869 data_time: 0.032523 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.883710 2023/08/08 17:04:07 - mmengine - INFO - Epoch(train) [117][380/529] lr: 5.000000e-04 eta: 4:56:20 time: 0.357299 data_time: 0.032116 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.907021 2023/08/08 17:04:11 - mmengine - INFO - Epoch(train) [117][390/529] lr: 5.000000e-04 eta: 4:56:16 time: 0.355402 data_time: 0.031789 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.912574 2023/08/08 17:04:14 - mmengine - INFO - Epoch(train) [117][400/529] lr: 5.000000e-04 eta: 4:56:13 time: 0.360475 data_time: 0.031963 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.817995 2023/08/08 17:04:18 - mmengine - INFO - Epoch(train) [117][410/529] lr: 5.000000e-04 eta: 4:56:09 time: 0.365648 data_time: 0.032468 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.886969 2023/08/08 17:04:22 - mmengine - INFO - Epoch(train) [117][420/529] lr: 5.000000e-04 eta: 4:56:05 time: 0.367089 data_time: 0.032489 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.894809 2023/08/08 17:04:25 - mmengine - INFO - Epoch(train) [117][430/529] lr: 5.000000e-04 eta: 4:56:02 time: 0.363223 data_time: 0.032483 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.849110 2023/08/08 17:04:29 - mmengine - INFO - Epoch(train) [117][440/529] lr: 5.000000e-04 eta: 4:55:58 time: 0.366236 data_time: 0.032823 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.851742 2023/08/08 17:04:33 - mmengine - INFO - Epoch(train) [117][450/529] lr: 5.000000e-04 eta: 4:55:55 time: 0.363235 data_time: 0.033110 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.943000 2023/08/08 17:04:36 - mmengine - INFO - Epoch(train) [117][460/529] lr: 5.000000e-04 eta: 4:55:51 time: 0.359572 data_time: 0.033516 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.867481 2023/08/08 17:04:40 - mmengine - INFO - Epoch(train) [117][470/529] lr: 5.000000e-04 eta: 4:55:47 time: 0.358773 data_time: 0.033471 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.874070 2023/08/08 17:04:43 - mmengine - INFO - Epoch(train) [117][480/529] lr: 5.000000e-04 eta: 4:55:44 time: 0.362987 data_time: 0.034154 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.867473 2023/08/08 17:04:47 - mmengine - INFO - Epoch(train) [117][490/529] lr: 5.000000e-04 eta: 4:55:40 time: 0.357659 data_time: 0.034630 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.884852 2023/08/08 17:04:50 - mmengine - INFO - Epoch(train) [117][500/529] lr: 5.000000e-04 eta: 4:55:36 time: 0.355241 data_time: 0.034062 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.868970 2023/08/08 17:04:54 - mmengine - INFO - Epoch(train) [117][510/529] lr: 5.000000e-04 eta: 4:55:33 time: 0.352621 data_time: 0.033031 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.893177 2023/08/08 17:04:57 - mmengine - INFO - Epoch(train) [117][520/529] lr: 5.000000e-04 eta: 4:55:29 time: 0.352260 data_time: 0.033105 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.895151 2023/08/08 17:05:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:05:04 - mmengine - INFO - Epoch(train) [118][ 10/529] lr: 5.000000e-04 eta: 4:55:22 time: 0.352458 data_time: 0.035708 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.898815 2023/08/08 17:05:08 - mmengine - INFO - Epoch(train) [118][ 20/529] lr: 5.000000e-04 eta: 4:55:19 time: 0.353677 data_time: 0.035836 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.857105 2023/08/08 17:05:11 - mmengine - INFO - Epoch(train) [118][ 30/529] lr: 5.000000e-04 eta: 4:55:15 time: 0.354687 data_time: 0.036221 memory: 4565 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.881314 2023/08/08 17:05:15 - mmengine - INFO - Epoch(train) [118][ 40/529] lr: 5.000000e-04 eta: 4:55:11 time: 0.354844 data_time: 0.036191 memory: 4565 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.887292 2023/08/08 17:05:18 - mmengine - INFO - Epoch(train) [118][ 50/529] lr: 5.000000e-04 eta: 4:55:07 time: 0.354711 data_time: 0.035903 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.864587 2023/08/08 17:05:22 - mmengine - INFO - Epoch(train) [118][ 60/529] lr: 5.000000e-04 eta: 4:55:04 time: 0.349662 data_time: 0.031834 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.901343 2023/08/08 17:05:25 - mmengine - INFO - Epoch(train) [118][ 70/529] lr: 5.000000e-04 eta: 4:55:00 time: 0.350971 data_time: 0.032252 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.891422 2023/08/08 17:05:29 - mmengine - INFO - Epoch(train) [118][ 80/529] lr: 5.000000e-04 eta: 4:54:57 time: 0.356106 data_time: 0.036381 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.915938 2023/08/08 17:05:33 - mmengine - INFO - Epoch(train) [118][ 90/529] lr: 5.000000e-04 eta: 4:54:53 time: 0.357111 data_time: 0.036775 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.910136 2023/08/08 17:05:36 - mmengine - INFO - Epoch(train) [118][100/529] lr: 5.000000e-04 eta: 4:54:50 time: 0.361726 data_time: 0.037336 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.808627 2023/08/08 17:05:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:05:40 - mmengine - INFO - Epoch(train) [118][110/529] lr: 5.000000e-04 eta: 4:54:46 time: 0.362479 data_time: 0.037361 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.868451 2023/08/08 17:05:43 - mmengine - INFO - Epoch(train) [118][120/529] lr: 5.000000e-04 eta: 4:54:42 time: 0.361095 data_time: 0.036748 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.888228 2023/08/08 17:05:47 - mmengine - INFO - Epoch(train) [118][130/529] lr: 5.000000e-04 eta: 4:54:39 time: 0.355590 data_time: 0.032308 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.912087 2023/08/08 17:05:50 - mmengine - INFO - Epoch(train) [118][140/529] lr: 5.000000e-04 eta: 4:54:35 time: 0.357211 data_time: 0.032171 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.892854 2023/08/08 17:05:54 - mmengine - INFO - Epoch(train) [118][150/529] lr: 5.000000e-04 eta: 4:54:31 time: 0.354270 data_time: 0.031900 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.884182 2023/08/08 17:05:58 - mmengine - INFO - Epoch(train) [118][160/529] lr: 5.000000e-04 eta: 4:54:28 time: 0.363424 data_time: 0.032545 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.880980 2023/08/08 17:06:02 - mmengine - INFO - Epoch(train) [118][170/529] lr: 5.000000e-04 eta: 4:54:24 time: 0.366020 data_time: 0.032633 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.901408 2023/08/08 17:06:05 - mmengine - INFO - Epoch(train) [118][180/529] lr: 5.000000e-04 eta: 4:54:21 time: 0.365508 data_time: 0.032475 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.882615 2023/08/08 17:06:09 - mmengine - INFO - Epoch(train) [118][190/529] lr: 5.000000e-04 eta: 4:54:17 time: 0.363113 data_time: 0.032156 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.884634 2023/08/08 17:06:12 - mmengine - INFO - Epoch(train) [118][200/529] lr: 5.000000e-04 eta: 4:54:13 time: 0.362702 data_time: 0.032043 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.893361 2023/08/08 17:06:16 - mmengine - INFO - Epoch(train) [118][210/529] lr: 5.000000e-04 eta: 4:54:10 time: 0.354078 data_time: 0.031774 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.897296 2023/08/08 17:06:19 - mmengine - INFO - Epoch(train) [118][220/529] lr: 5.000000e-04 eta: 4:54:06 time: 0.353158 data_time: 0.031777 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.898306 2023/08/08 17:06:23 - mmengine - INFO - Epoch(train) [118][230/529] lr: 5.000000e-04 eta: 4:54:03 time: 0.355701 data_time: 0.032122 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.875690 2023/08/08 17:06:27 - mmengine - INFO - Epoch(train) [118][240/529] lr: 5.000000e-04 eta: 4:53:59 time: 0.359140 data_time: 0.032312 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.859305 2023/08/08 17:06:30 - mmengine - INFO - Epoch(train) [118][250/529] lr: 5.000000e-04 eta: 4:53:55 time: 0.360569 data_time: 0.032825 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.883018 2023/08/08 17:06:34 - mmengine - INFO - Epoch(train) [118][260/529] lr: 5.000000e-04 eta: 4:53:52 time: 0.359956 data_time: 0.032788 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.907457 2023/08/08 17:06:37 - mmengine - INFO - Epoch(train) [118][270/529] lr: 5.000000e-04 eta: 4:53:48 time: 0.359841 data_time: 0.033436 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.859383 2023/08/08 17:06:41 - mmengine - INFO - Epoch(train) [118][280/529] lr: 5.000000e-04 eta: 4:53:45 time: 0.365867 data_time: 0.033658 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.864276 2023/08/08 17:06:45 - mmengine - INFO - Epoch(train) [118][290/529] lr: 5.000000e-04 eta: 4:53:41 time: 0.363332 data_time: 0.033899 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.886540 2023/08/08 17:06:48 - mmengine - INFO - Epoch(train) [118][300/529] lr: 5.000000e-04 eta: 4:53:37 time: 0.363083 data_time: 0.033537 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.861972 2023/08/08 17:06:52 - mmengine - INFO - Epoch(train) [118][310/529] lr: 5.000000e-04 eta: 4:53:34 time: 0.362181 data_time: 0.033265 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.905398 2023/08/08 17:06:55 - mmengine - INFO - Epoch(train) [118][320/529] lr: 5.000000e-04 eta: 4:53:30 time: 0.362547 data_time: 0.032429 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.848986 2023/08/08 17:06:59 - mmengine - INFO - Epoch(train) [118][330/529] lr: 5.000000e-04 eta: 4:53:26 time: 0.354988 data_time: 0.032012 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.909184 2023/08/08 17:07:03 - mmengine - INFO - Epoch(train) [118][340/529] lr: 5.000000e-04 eta: 4:53:23 time: 0.360360 data_time: 0.032138 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.870696 2023/08/08 17:07:06 - mmengine - INFO - Epoch(train) [118][350/529] lr: 5.000000e-04 eta: 4:53:19 time: 0.361332 data_time: 0.032192 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.907002 2023/08/08 17:07:10 - mmengine - INFO - Epoch(train) [118][360/529] lr: 5.000000e-04 eta: 4:53:16 time: 0.362273 data_time: 0.032633 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.905647 2023/08/08 17:07:13 - mmengine - INFO - Epoch(train) [118][370/529] lr: 5.000000e-04 eta: 4:53:12 time: 0.360247 data_time: 0.032800 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.928999 2023/08/08 17:07:17 - mmengine - INFO - Epoch(train) [118][380/529] lr: 5.000000e-04 eta: 4:53:08 time: 0.358624 data_time: 0.032687 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.927438 2023/08/08 17:07:20 - mmengine - INFO - Epoch(train) [118][390/529] lr: 5.000000e-04 eta: 4:53:05 time: 0.353252 data_time: 0.032187 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.934237 2023/08/08 17:07:24 - mmengine - INFO - Epoch(train) [118][400/529] lr: 5.000000e-04 eta: 4:53:01 time: 0.350878 data_time: 0.031965 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.895375 2023/08/08 17:07:28 - mmengine - INFO - Epoch(train) [118][410/529] lr: 5.000000e-04 eta: 4:52:57 time: 0.352486 data_time: 0.031734 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.866523 2023/08/08 17:07:31 - mmengine - INFO - Epoch(train) [118][420/529] lr: 5.000000e-04 eta: 4:52:54 time: 0.352984 data_time: 0.031863 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.901464 2023/08/08 17:07:35 - mmengine - INFO - Epoch(train) [118][430/529] lr: 5.000000e-04 eta: 4:52:50 time: 0.354765 data_time: 0.032087 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.934014 2023/08/08 17:07:38 - mmengine - INFO - Epoch(train) [118][440/529] lr: 5.000000e-04 eta: 4:52:47 time: 0.357284 data_time: 0.032229 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.896043 2023/08/08 17:07:42 - mmengine - INFO - Epoch(train) [118][450/529] lr: 5.000000e-04 eta: 4:52:43 time: 0.357443 data_time: 0.032528 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.876151 2023/08/08 17:07:45 - mmengine - INFO - Epoch(train) [118][460/529] lr: 5.000000e-04 eta: 4:52:39 time: 0.355604 data_time: 0.032109 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.906908 2023/08/08 17:07:49 - mmengine - INFO - Epoch(train) [118][470/529] lr: 5.000000e-04 eta: 4:52:36 time: 0.353765 data_time: 0.031843 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.892833 2023/08/08 17:07:53 - mmengine - INFO - Epoch(train) [118][480/529] lr: 5.000000e-04 eta: 4:52:32 time: 0.358158 data_time: 0.032259 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.847013 2023/08/08 17:07:56 - mmengine - INFO - Epoch(train) [118][490/529] lr: 5.000000e-04 eta: 4:52:29 time: 0.358513 data_time: 0.033150 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.919736 2023/08/08 17:08:00 - mmengine - INFO - Epoch(train) [118][500/529] lr: 5.000000e-04 eta: 4:52:25 time: 0.361550 data_time: 0.033491 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.902298 2023/08/08 17:08:04 - mmengine - INFO - Epoch(train) [118][510/529] lr: 5.000000e-04 eta: 4:52:21 time: 0.364935 data_time: 0.034613 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.881521 2023/08/08 17:08:07 - mmengine - INFO - Epoch(train) [118][520/529] lr: 5.000000e-04 eta: 4:52:18 time: 0.371598 data_time: 0.035885 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.918585 2023/08/08 17:08:11 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:08:15 - mmengine - INFO - Epoch(train) [119][ 10/529] lr: 5.000000e-04 eta: 4:52:12 time: 0.377059 data_time: 0.042822 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.883235 2023/08/08 17:08:18 - mmengine - INFO - Epoch(train) [119][ 20/529] lr: 5.000000e-04 eta: 4:52:08 time: 0.376285 data_time: 0.042675 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.942715 2023/08/08 17:08:22 - mmengine - INFO - Epoch(train) [119][ 30/529] lr: 5.000000e-04 eta: 4:52:04 time: 0.374650 data_time: 0.042525 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.894753 2023/08/08 17:08:26 - mmengine - INFO - Epoch(train) [119][ 40/529] lr: 5.000000e-04 eta: 4:52:01 time: 0.373761 data_time: 0.041496 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.900225 2023/08/08 17:08:29 - mmengine - INFO - Epoch(train) [119][ 50/529] lr: 5.000000e-04 eta: 4:51:57 time: 0.371235 data_time: 0.041265 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.928853 2023/08/08 17:08:33 - mmengine - INFO - Epoch(train) [119][ 60/529] lr: 5.000000e-04 eta: 4:51:54 time: 0.361352 data_time: 0.033174 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.883236 2023/08/08 17:08:36 - mmengine - INFO - Epoch(train) [119][ 70/529] lr: 5.000000e-04 eta: 4:51:50 time: 0.358204 data_time: 0.032856 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.930502 2023/08/08 17:08:40 - mmengine - INFO - Epoch(train) [119][ 80/529] lr: 5.000000e-04 eta: 4:51:46 time: 0.356154 data_time: 0.032179 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.927256 2023/08/08 17:08:44 - mmengine - INFO - Epoch(train) [119][ 90/529] lr: 5.000000e-04 eta: 4:51:43 time: 0.356765 data_time: 0.032455 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.895343 2023/08/08 17:08:47 - mmengine - INFO - Epoch(train) [119][100/529] lr: 5.000000e-04 eta: 4:51:39 time: 0.356711 data_time: 0.032647 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.886812 2023/08/08 17:08:51 - mmengine - INFO - Epoch(train) [119][110/529] lr: 5.000000e-04 eta: 4:51:36 time: 0.363600 data_time: 0.036949 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.887054 2023/08/08 17:08:55 - mmengine - INFO - Epoch(train) [119][120/529] lr: 5.000000e-04 eta: 4:51:32 time: 0.364134 data_time: 0.037194 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.886877 2023/08/08 17:08:58 - mmengine - INFO - Epoch(train) [119][130/529] lr: 5.000000e-04 eta: 4:51:28 time: 0.365670 data_time: 0.036936 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.870247 2023/08/08 17:09:02 - mmengine - INFO - Epoch(train) [119][140/529] lr: 5.000000e-04 eta: 4:51:25 time: 0.360794 data_time: 0.037318 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.882555 2023/08/08 17:09:05 - mmengine - INFO - Epoch(train) [119][150/529] lr: 5.000000e-04 eta: 4:51:21 time: 0.363663 data_time: 0.036862 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.868000 2023/08/08 17:09:09 - mmengine - INFO - Epoch(train) [119][160/529] lr: 5.000000e-04 eta: 4:51:18 time: 0.361779 data_time: 0.032895 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.887068 2023/08/08 17:09:13 - mmengine - INFO - Epoch(train) [119][170/529] lr: 5.000000e-04 eta: 4:51:14 time: 0.370125 data_time: 0.032809 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.869298 2023/08/08 17:09:17 - mmengine - INFO - Epoch(train) [119][180/529] lr: 5.000000e-04 eta: 4:51:11 time: 0.372098 data_time: 0.033260 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.912722 2023/08/08 17:09:20 - mmengine - INFO - Epoch(train) [119][190/529] lr: 5.000000e-04 eta: 4:51:07 time: 0.376806 data_time: 0.033678 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.926955 2023/08/08 17:09:24 - mmengine - INFO - Epoch(train) [119][200/529] lr: 5.000000e-04 eta: 4:51:04 time: 0.372721 data_time: 0.033745 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.882606 2023/08/08 17:09:28 - mmengine - INFO - Epoch(train) [119][210/529] lr: 5.000000e-04 eta: 4:51:00 time: 0.368730 data_time: 0.033402 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.915729 2023/08/08 17:09:31 - mmengine - INFO - Epoch(train) [119][220/529] lr: 5.000000e-04 eta: 4:50:56 time: 0.359468 data_time: 0.032993 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.870475 2023/08/08 17:09:35 - mmengine - INFO - Epoch(train) [119][230/529] lr: 5.000000e-04 eta: 4:50:53 time: 0.358712 data_time: 0.033083 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.928473 2023/08/08 17:09:38 - mmengine - INFO - Epoch(train) [119][240/529] lr: 5.000000e-04 eta: 4:50:49 time: 0.354492 data_time: 0.031928 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.875394 2023/08/08 17:09:42 - mmengine - INFO - Epoch(train) [119][250/529] lr: 5.000000e-04 eta: 4:50:46 time: 0.358586 data_time: 0.032357 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.885269 2023/08/08 17:09:45 - mmengine - INFO - Epoch(train) [119][260/529] lr: 5.000000e-04 eta: 4:50:42 time: 0.359515 data_time: 0.032804 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.915115 2023/08/08 17:09:49 - mmengine - INFO - Epoch(train) [119][270/529] lr: 5.000000e-04 eta: 4:50:38 time: 0.360785 data_time: 0.032617 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.920209 2023/08/08 17:09:53 - mmengine - INFO - Epoch(train) [119][280/529] lr: 5.000000e-04 eta: 4:50:35 time: 0.361178 data_time: 0.032602 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.902695 2023/08/08 17:09:56 - mmengine - INFO - Epoch(train) [119][290/529] lr: 5.000000e-04 eta: 4:50:31 time: 0.364166 data_time: 0.033247 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.941572 2023/08/08 17:10:00 - mmengine - INFO - Epoch(train) [119][300/529] lr: 5.000000e-04 eta: 4:50:28 time: 0.369509 data_time: 0.033467 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.884389 2023/08/08 17:10:04 - mmengine - INFO - Epoch(train) [119][310/529] lr: 5.000000e-04 eta: 4:50:24 time: 0.369704 data_time: 0.033476 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.898589 2023/08/08 17:10:08 - mmengine - INFO - Epoch(train) [119][320/529] lr: 5.000000e-04 eta: 4:50:21 time: 0.370100 data_time: 0.033730 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.896546 2023/08/08 17:10:12 - mmengine - INFO - Epoch(train) [119][330/529] lr: 5.000000e-04 eta: 4:50:17 time: 0.376192 data_time: 0.033989 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.912813 2023/08/08 17:10:15 - mmengine - INFO - Epoch(train) [119][340/529] lr: 5.000000e-04 eta: 4:50:14 time: 0.377086 data_time: 0.033377 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.796197 2023/08/08 17:10:19 - mmengine - INFO - Epoch(train) [119][350/529] lr: 5.000000e-04 eta: 4:50:10 time: 0.367896 data_time: 0.032580 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.909432 2023/08/08 17:10:22 - mmengine - INFO - Epoch(train) [119][360/529] lr: 5.000000e-04 eta: 4:50:07 time: 0.367094 data_time: 0.032113 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.865376 2023/08/08 17:10:26 - mmengine - INFO - Epoch(train) [119][370/529] lr: 5.000000e-04 eta: 4:50:03 time: 0.368178 data_time: 0.032590 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.889810 2023/08/08 17:10:30 - mmengine - INFO - Epoch(train) [119][380/529] lr: 5.000000e-04 eta: 4:49:59 time: 0.360696 data_time: 0.032295 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.908489 2023/08/08 17:10:33 - mmengine - INFO - Epoch(train) [119][390/529] lr: 5.000000e-04 eta: 4:49:56 time: 0.360565 data_time: 0.036081 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.867596 2023/08/08 17:10:37 - mmengine - INFO - Epoch(train) [119][400/529] lr: 5.000000e-04 eta: 4:49:52 time: 0.361998 data_time: 0.036310 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.892159 2023/08/08 17:10:41 - mmengine - INFO - Epoch(train) [119][410/529] lr: 5.000000e-04 eta: 4:49:49 time: 0.363317 data_time: 0.036835 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.901507 2023/08/08 17:10:44 - mmengine - INFO - Epoch(train) [119][420/529] lr: 5.000000e-04 eta: 4:49:45 time: 0.365511 data_time: 0.036478 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.839477 2023/08/08 17:10:48 - mmengine - INFO - Epoch(train) [119][430/529] lr: 5.000000e-04 eta: 4:49:42 time: 0.365868 data_time: 0.036448 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.932641 2023/08/08 17:10:51 - mmengine - INFO - Epoch(train) [119][440/529] lr: 5.000000e-04 eta: 4:49:38 time: 0.363040 data_time: 0.033106 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.799084 2023/08/08 17:10:55 - mmengine - INFO - Epoch(train) [119][450/529] lr: 5.000000e-04 eta: 4:49:34 time: 0.365056 data_time: 0.033174 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.936377 2023/08/08 17:10:59 - mmengine - INFO - Epoch(train) [119][460/529] lr: 5.000000e-04 eta: 4:49:31 time: 0.363273 data_time: 0.032595 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.902758 2023/08/08 17:11:02 - mmengine - INFO - Epoch(train) [119][470/529] lr: 5.000000e-04 eta: 4:49:27 time: 0.363978 data_time: 0.032789 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.936399 2023/08/08 17:11:06 - mmengine - INFO - Epoch(train) [119][480/529] lr: 5.000000e-04 eta: 4:49:24 time: 0.369859 data_time: 0.032610 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.910698 2023/08/08 17:11:10 - mmengine - INFO - Epoch(train) [119][490/529] lr: 5.000000e-04 eta: 4:49:20 time: 0.372277 data_time: 0.032257 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.917889 2023/08/08 17:11:14 - mmengine - INFO - Epoch(train) [119][500/529] lr: 5.000000e-04 eta: 4:49:17 time: 0.371405 data_time: 0.032555 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.903383 2023/08/08 17:11:17 - mmengine - INFO - Epoch(train) [119][510/529] lr: 5.000000e-04 eta: 4:49:13 time: 0.372436 data_time: 0.033196 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.891442 2023/08/08 17:11:21 - mmengine - INFO - Epoch(train) [119][520/529] lr: 5.000000e-04 eta: 4:49:10 time: 0.368048 data_time: 0.033047 memory: 4565 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.896657 2023/08/08 17:11:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:11:28 - mmengine - INFO - Epoch(train) [120][ 10/529] lr: 5.000000e-04 eta: 4:49:03 time: 0.360949 data_time: 0.036542 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.922626 2023/08/08 17:11:31 - mmengine - INFO - Epoch(train) [120][ 20/529] lr: 5.000000e-04 eta: 4:48:59 time: 0.359335 data_time: 0.036208 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.891851 2023/08/08 17:11:35 - mmengine - INFO - Epoch(train) [120][ 30/529] lr: 5.000000e-04 eta: 4:48:55 time: 0.357666 data_time: 0.035491 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.937999 2023/08/08 17:11:39 - mmengine - INFO - Epoch(train) [120][ 40/529] lr: 5.000000e-04 eta: 4:48:52 time: 0.359504 data_time: 0.034991 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.851402 2023/08/08 17:11:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:11:42 - mmengine - INFO - Epoch(train) [120][ 50/529] lr: 5.000000e-04 eta: 4:48:48 time: 0.361622 data_time: 0.035374 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.887032 2023/08/08 17:11:46 - mmengine - INFO - Epoch(train) [120][ 60/529] lr: 5.000000e-04 eta: 4:48:45 time: 0.364642 data_time: 0.035593 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.926983 2023/08/08 17:11:50 - mmengine - INFO - Epoch(train) [120][ 70/529] lr: 5.000000e-04 eta: 4:48:41 time: 0.366837 data_time: 0.035860 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.902770 2023/08/08 17:11:53 - mmengine - INFO - Epoch(train) [120][ 80/529] lr: 5.000000e-04 eta: 4:48:38 time: 0.367598 data_time: 0.036093 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.875149 2023/08/08 17:11:57 - mmengine - INFO - Epoch(train) [120][ 90/529] lr: 5.000000e-04 eta: 4:48:34 time: 0.365946 data_time: 0.036802 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.934247 2023/08/08 17:12:01 - mmengine - INFO - Epoch(train) [120][100/529] lr: 5.000000e-04 eta: 4:48:31 time: 0.369328 data_time: 0.036975 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.910525 2023/08/08 17:12:04 - mmengine - INFO - Epoch(train) [120][110/529] lr: 5.000000e-04 eta: 4:48:27 time: 0.365601 data_time: 0.032883 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.892777 2023/08/08 17:12:08 - mmengine - INFO - Epoch(train) [120][120/529] lr: 5.000000e-04 eta: 4:48:24 time: 0.368182 data_time: 0.033016 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.945010 2023/08/08 17:12:12 - mmengine - INFO - Epoch(train) [120][130/529] lr: 5.000000e-04 eta: 4:48:20 time: 0.373959 data_time: 0.032721 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.888142 2023/08/08 17:12:16 - mmengine - INFO - Epoch(train) [120][140/529] lr: 5.000000e-04 eta: 4:48:17 time: 0.380813 data_time: 0.032717 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.900072 2023/08/08 17:12:19 - mmengine - INFO - Epoch(train) [120][150/529] lr: 5.000000e-04 eta: 4:48:13 time: 0.376743 data_time: 0.033105 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.879703 2023/08/08 17:12:23 - mmengine - INFO - Epoch(train) [120][160/529] lr: 5.000000e-04 eta: 4:48:10 time: 0.373715 data_time: 0.032950 memory: 4565 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.920057 2023/08/08 17:12:27 - mmengine - INFO - Epoch(train) [120][170/529] lr: 5.000000e-04 eta: 4:48:06 time: 0.368415 data_time: 0.032536 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.846911 2023/08/08 17:12:30 - mmengine - INFO - Epoch(train) [120][180/529] lr: 5.000000e-04 eta: 4:48:02 time: 0.361746 data_time: 0.032522 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.925127 2023/08/08 17:12:34 - mmengine - INFO - Epoch(train) [120][190/529] lr: 5.000000e-04 eta: 4:47:59 time: 0.357400 data_time: 0.032484 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.864490 2023/08/08 17:12:37 - mmengine - INFO - Epoch(train) [120][200/529] lr: 5.000000e-04 eta: 4:47:55 time: 0.359814 data_time: 0.031728 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.916980 2023/08/08 17:12:41 - mmengine - INFO - Epoch(train) [120][210/529] lr: 5.000000e-04 eta: 4:47:52 time: 0.362000 data_time: 0.032168 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.902105 2023/08/08 17:12:45 - mmengine - INFO - Epoch(train) [120][220/529] lr: 5.000000e-04 eta: 4:47:48 time: 0.362556 data_time: 0.032169 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.884930 2023/08/08 17:12:48 - mmengine - INFO - Epoch(train) [120][230/529] lr: 5.000000e-04 eta: 4:47:44 time: 0.367855 data_time: 0.032077 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.930855 2023/08/08 17:12:52 - mmengine - INFO - Epoch(train) [120][240/529] lr: 5.000000e-04 eta: 4:47:41 time: 0.365717 data_time: 0.031762 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.913206 2023/08/08 17:12:56 - mmengine - INFO - Epoch(train) [120][250/529] lr: 5.000000e-04 eta: 4:47:37 time: 0.364607 data_time: 0.032180 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.903484 2023/08/08 17:12:59 - mmengine - INFO - Epoch(train) [120][260/529] lr: 5.000000e-04 eta: 4:47:34 time: 0.362552 data_time: 0.031819 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.887603 2023/08/08 17:13:03 - mmengine - INFO - Epoch(train) [120][270/529] lr: 5.000000e-04 eta: 4:47:30 time: 0.364035 data_time: 0.032050 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.944834 2023/08/08 17:13:06 - mmengine - INFO - Epoch(train) [120][280/529] lr: 5.000000e-04 eta: 4:47:26 time: 0.360046 data_time: 0.032270 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.868819 2023/08/08 17:13:10 - mmengine - INFO - Epoch(train) [120][290/529] lr: 5.000000e-04 eta: 4:47:23 time: 0.358823 data_time: 0.032164 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.856949 2023/08/08 17:13:14 - mmengine - INFO - Epoch(train) [120][300/529] lr: 5.000000e-04 eta: 4:47:19 time: 0.357265 data_time: 0.031770 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.925391 2023/08/08 17:13:17 - mmengine - INFO - Epoch(train) [120][310/529] lr: 5.000000e-04 eta: 4:47:16 time: 0.357693 data_time: 0.031822 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.901292 2023/08/08 17:13:21 - mmengine - INFO - Epoch(train) [120][320/529] lr: 5.000000e-04 eta: 4:47:12 time: 0.356826 data_time: 0.031729 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.868249 2023/08/08 17:13:24 - mmengine - INFO - Epoch(train) [120][330/529] lr: 5.000000e-04 eta: 4:47:08 time: 0.357003 data_time: 0.032322 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.896052 2023/08/08 17:13:28 - mmengine - INFO - Epoch(train) [120][340/529] lr: 5.000000e-04 eta: 4:47:05 time: 0.356894 data_time: 0.032323 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.895571 2023/08/08 17:13:31 - mmengine - INFO - Epoch(train) [120][350/529] lr: 5.000000e-04 eta: 4:47:01 time: 0.357404 data_time: 0.032309 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.894735 2023/08/08 17:13:35 - mmengine - INFO - Epoch(train) [120][360/529] lr: 5.000000e-04 eta: 4:46:58 time: 0.360692 data_time: 0.032339 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.893578 2023/08/08 17:13:39 - mmengine - INFO - Epoch(train) [120][370/529] lr: 5.000000e-04 eta: 4:46:54 time: 0.361494 data_time: 0.032530 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.857102 2023/08/08 17:13:43 - mmengine - INFO - Epoch(train) [120][380/529] lr: 5.000000e-04 eta: 4:46:50 time: 0.364162 data_time: 0.035441 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.958288 2023/08/08 17:13:46 - mmengine - INFO - Epoch(train) [120][390/529] lr: 5.000000e-04 eta: 4:46:47 time: 0.366623 data_time: 0.035620 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.894252 2023/08/08 17:13:50 - mmengine - INFO - Epoch(train) [120][400/529] lr: 5.000000e-04 eta: 4:46:43 time: 0.367993 data_time: 0.036031 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.875758 2023/08/08 17:13:53 - mmengine - INFO - Epoch(train) [120][410/529] lr: 5.000000e-04 eta: 4:46:40 time: 0.364561 data_time: 0.036134 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.895685 2023/08/08 17:13:57 - mmengine - INFO - Epoch(train) [120][420/529] lr: 5.000000e-04 eta: 4:46:36 time: 0.365766 data_time: 0.036019 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.921003 2023/08/08 17:14:01 - mmengine - INFO - Epoch(train) [120][430/529] lr: 5.000000e-04 eta: 4:46:32 time: 0.361686 data_time: 0.032610 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.843992 2023/08/08 17:14:04 - mmengine - INFO - Epoch(train) [120][440/529] lr: 5.000000e-04 eta: 4:46:29 time: 0.358968 data_time: 0.032293 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.922195 2023/08/08 17:14:08 - mmengine - INFO - Epoch(train) [120][450/529] lr: 5.000000e-04 eta: 4:46:25 time: 0.357573 data_time: 0.031749 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.898914 2023/08/08 17:14:11 - mmengine - INFO - Epoch(train) [120][460/529] lr: 5.000000e-04 eta: 4:46:22 time: 0.359116 data_time: 0.031591 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.899489 2023/08/08 17:14:15 - mmengine - INFO - Epoch(train) [120][470/529] lr: 5.000000e-04 eta: 4:46:18 time: 0.362636 data_time: 0.031865 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.930794 2023/08/08 17:14:19 - mmengine - INFO - Epoch(train) [120][480/529] lr: 5.000000e-04 eta: 4:46:15 time: 0.366235 data_time: 0.032362 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.898721 2023/08/08 17:14:23 - mmengine - INFO - Epoch(train) [120][490/529] lr: 5.000000e-04 eta: 4:46:11 time: 0.368045 data_time: 0.032481 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.873496 2023/08/08 17:14:26 - mmengine - INFO - Epoch(train) [120][500/529] lr: 5.000000e-04 eta: 4:46:08 time: 0.370219 data_time: 0.032624 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.884701 2023/08/08 17:14:30 - mmengine - INFO - Epoch(train) [120][510/529] lr: 5.000000e-04 eta: 4:46:04 time: 0.367495 data_time: 0.032523 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.922205 2023/08/08 17:14:33 - mmengine - INFO - Epoch(train) [120][520/529] lr: 5.000000e-04 eta: 4:46:00 time: 0.361809 data_time: 0.032080 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.901765 2023/08/08 17:14:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:14:37 - mmengine - INFO - Saving checkpoint at 120 epochs 2023/08/08 17:14:42 - mmengine - INFO - Epoch(val) [120][ 10/127] eta: 0:00:24 time: 0.198999 data_time: 0.013363 memory: 4565 2023/08/08 17:14:44 - mmengine - INFO - Epoch(val) [120][ 20/127] eta: 0:00:21 time: 0.198716 data_time: 0.013204 memory: 1634 2023/08/08 17:14:46 - mmengine - INFO - Epoch(val) [120][ 30/127] eta: 0:00:19 time: 0.198043 data_time: 0.012905 memory: 1634 2023/08/08 17:14:48 - mmengine - INFO - Epoch(val) [120][ 40/127] eta: 0:00:17 time: 0.198305 data_time: 0.013157 memory: 1634 2023/08/08 17:14:50 - mmengine - INFO - Epoch(val) [120][ 50/127] eta: 0:00:15 time: 0.200668 data_time: 0.013618 memory: 1634 2023/08/08 17:14:52 - mmengine - INFO - Epoch(val) [120][ 60/127] eta: 0:00:13 time: 0.198130 data_time: 0.011603 memory: 1634 2023/08/08 17:14:54 - mmengine - INFO - Epoch(val) [120][ 70/127] eta: 0:00:11 time: 0.198272 data_time: 0.011745 memory: 1634 2023/08/08 17:14:56 - mmengine - INFO - Epoch(val) [120][ 80/127] eta: 0:00:09 time: 0.198240 data_time: 0.011769 memory: 1634 2023/08/08 17:14:58 - mmengine - INFO - Epoch(val) [120][ 90/127] eta: 0:00:07 time: 0.197352 data_time: 0.011230 memory: 1634 2023/08/08 17:15:00 - mmengine - INFO - Epoch(val) [120][100/127] eta: 0:00:05 time: 0.197049 data_time: 0.011067 memory: 1634 2023/08/08 17:15:02 - mmengine - INFO - Epoch(val) [120][110/127] eta: 0:00:03 time: 0.196818 data_time: 0.010958 memory: 1634 2023/08/08 17:15:04 - mmengine - INFO - Epoch(val) [120][120/127] eta: 0:00:01 time: 0.196885 data_time: 0.010883 memory: 1634 2023/08/08 17:15:06 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 17:15:06 - mmengine - INFO - Evaluating AUC... 2023/08/08 17:15:06 - mmengine - INFO - Evaluating EPE... 2023/08/08 17:15:06 - mmengine - INFO - Epoch(val) [120][127/127] PCK: 0.981977 AUC: 0.674015 EPE: 11.781918 data_time: 0.011964 time: 0.197029 2023/08/08 17:15:06 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_110.pth is removed 2023/08/08 17:15:09 - mmengine - INFO - The best checkpoint with 0.6740 AUC at 120 epoch is saved to best_AUC_epoch_120.pth. 2023/08/08 17:15:16 - mmengine - INFO - Epoch(train) [121][ 10/529] lr: 5.000000e-04 eta: 4:45:54 time: 0.368936 data_time: 0.039048 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.915018 2023/08/08 17:15:20 - mmengine - INFO - Epoch(train) [121][ 20/529] lr: 5.000000e-04 eta: 4:45:50 time: 0.369872 data_time: 0.039435 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.891362 2023/08/08 17:15:24 - mmengine - INFO - Epoch(train) [121][ 30/529] lr: 5.000000e-04 eta: 4:45:47 time: 0.375420 data_time: 0.040585 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.910679 2023/08/08 17:15:28 - mmengine - INFO - Epoch(train) [121][ 40/529] lr: 5.000000e-04 eta: 4:45:43 time: 0.379002 data_time: 0.040809 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.921537 2023/08/08 17:15:32 - mmengine - INFO - Epoch(train) [121][ 50/529] lr: 5.000000e-04 eta: 4:45:40 time: 0.380255 data_time: 0.038133 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.862785 2023/08/08 17:15:35 - mmengine - INFO - Epoch(train) [121][ 60/529] lr: 5.000000e-04 eta: 4:45:36 time: 0.377072 data_time: 0.034177 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.824555 2023/08/08 17:15:39 - mmengine - INFO - Epoch(train) [121][ 70/529] lr: 5.000000e-04 eta: 4:45:33 time: 0.376002 data_time: 0.034206 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.879699 2023/08/08 17:15:43 - mmengine - INFO - Epoch(train) [121][ 80/529] lr: 5.000000e-04 eta: 4:45:29 time: 0.373861 data_time: 0.033339 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.893009 2023/08/08 17:15:47 - mmengine - INFO - Epoch(train) [121][ 90/529] lr: 5.000000e-04 eta: 4:45:26 time: 0.376530 data_time: 0.033075 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.854084 2023/08/08 17:15:50 - mmengine - INFO - Epoch(train) [121][100/529] lr: 5.000000e-04 eta: 4:45:23 time: 0.379020 data_time: 0.032476 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.925301 2023/08/08 17:15:54 - mmengine - INFO - Epoch(train) [121][110/529] lr: 5.000000e-04 eta: 4:45:19 time: 0.374653 data_time: 0.031905 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.883025 2023/08/08 17:15:58 - mmengine - INFO - Epoch(train) [121][120/529] lr: 5.000000e-04 eta: 4:45:15 time: 0.373221 data_time: 0.031618 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.871588 2023/08/08 17:16:01 - mmengine - INFO - Epoch(train) [121][130/529] lr: 5.000000e-04 eta: 4:45:12 time: 0.371084 data_time: 0.031615 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.875317 2023/08/08 17:16:05 - mmengine - INFO - Epoch(train) [121][140/529] lr: 5.000000e-04 eta: 4:45:08 time: 0.368539 data_time: 0.031884 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.855031 2023/08/08 17:16:09 - mmengine - INFO - Epoch(train) [121][150/529] lr: 5.000000e-04 eta: 4:45:04 time: 0.360714 data_time: 0.032012 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.889288 2023/08/08 17:16:12 - mmengine - INFO - Epoch(train) [121][160/529] lr: 5.000000e-04 eta: 4:45:01 time: 0.360824 data_time: 0.032549 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.891621 2023/08/08 17:16:16 - mmengine - INFO - Epoch(train) [121][170/529] lr: 5.000000e-04 eta: 4:44:57 time: 0.366455 data_time: 0.038534 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.912729 2023/08/08 17:16:20 - mmengine - INFO - Epoch(train) [121][180/529] lr: 5.000000e-04 eta: 4:44:54 time: 0.370301 data_time: 0.039097 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.916157 2023/08/08 17:16:24 - mmengine - INFO - Epoch(train) [121][190/529] lr: 5.000000e-04 eta: 4:44:51 time: 0.375086 data_time: 0.039683 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.827204 2023/08/08 17:16:28 - mmengine - INFO - Epoch(train) [121][200/529] lr: 5.000000e-04 eta: 4:44:47 time: 0.381892 data_time: 0.040004 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.893680 2023/08/08 17:16:31 - mmengine - INFO - Epoch(train) [121][210/529] lr: 5.000000e-04 eta: 4:44:44 time: 0.383185 data_time: 0.039796 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.908253 2023/08/08 17:16:35 - mmengine - INFO - Epoch(train) [121][220/529] lr: 5.000000e-04 eta: 4:44:40 time: 0.383934 data_time: 0.033571 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.902288 2023/08/08 17:16:39 - mmengine - INFO - Epoch(train) [121][230/529] lr: 5.000000e-04 eta: 4:44:37 time: 0.386261 data_time: 0.032592 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.866796 2023/08/08 17:16:43 - mmengine - INFO - Epoch(train) [121][240/529] lr: 5.000000e-04 eta: 4:44:34 time: 0.384529 data_time: 0.031755 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.878452 2023/08/08 17:16:47 - mmengine - INFO - Epoch(train) [121][250/529] lr: 5.000000e-04 eta: 4:44:30 time: 0.379985 data_time: 0.032117 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.956410 2023/08/08 17:16:50 - mmengine - INFO - Epoch(train) [121][260/529] lr: 5.000000e-04 eta: 4:44:26 time: 0.381402 data_time: 0.032148 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.884696 2023/08/08 17:16:54 - mmengine - INFO - Epoch(train) [121][270/529] lr: 5.000000e-04 eta: 4:44:23 time: 0.373027 data_time: 0.032224 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.891979 2023/08/08 17:16:57 - mmengine - INFO - Epoch(train) [121][280/529] lr: 5.000000e-04 eta: 4:44:19 time: 0.367288 data_time: 0.032752 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.927846 2023/08/08 17:17:01 - mmengine - INFO - Epoch(train) [121][290/529] lr: 5.000000e-04 eta: 4:44:16 time: 0.362731 data_time: 0.032625 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.886653 2023/08/08 17:17:05 - mmengine - INFO - Epoch(train) [121][300/529] lr: 5.000000e-04 eta: 4:44:12 time: 0.361264 data_time: 0.031811 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.877053 2023/08/08 17:17:08 - mmengine - INFO - Epoch(train) [121][310/529] lr: 5.000000e-04 eta: 4:44:08 time: 0.357412 data_time: 0.031455 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.897213 2023/08/08 17:17:12 - mmengine - INFO - Epoch(train) [121][320/529] lr: 5.000000e-04 eta: 4:44:05 time: 0.358439 data_time: 0.031716 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.763459 2023/08/08 17:17:15 - mmengine - INFO - Epoch(train) [121][330/529] lr: 5.000000e-04 eta: 4:44:01 time: 0.358945 data_time: 0.031609 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.902637 2023/08/08 17:17:19 - mmengine - INFO - Epoch(train) [121][340/529] lr: 5.000000e-04 eta: 4:43:58 time: 0.361802 data_time: 0.031785 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.875610 2023/08/08 17:17:23 - mmengine - INFO - Epoch(train) [121][350/529] lr: 5.000000e-04 eta: 4:43:54 time: 0.363903 data_time: 0.032073 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.894068 2023/08/08 17:17:26 - mmengine - INFO - Epoch(train) [121][360/529] lr: 5.000000e-04 eta: 4:43:50 time: 0.365054 data_time: 0.032153 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.935417 2023/08/08 17:17:30 - mmengine - INFO - Epoch(train) [121][370/529] lr: 5.000000e-04 eta: 4:43:47 time: 0.365111 data_time: 0.031940 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.837798 2023/08/08 17:17:34 - mmengine - INFO - Epoch(train) [121][380/529] lr: 5.000000e-04 eta: 4:43:43 time: 0.363875 data_time: 0.031630 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.927904 2023/08/08 17:17:37 - mmengine - INFO - Epoch(train) [121][390/529] lr: 5.000000e-04 eta: 4:43:40 time: 0.363950 data_time: 0.032046 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.891901 2023/08/08 17:17:41 - mmengine - INFO - Epoch(train) [121][400/529] lr: 5.000000e-04 eta: 4:43:36 time: 0.368960 data_time: 0.031812 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.919599 2023/08/08 17:17:46 - mmengine - INFO - Epoch(train) [121][410/529] lr: 5.000000e-04 eta: 4:43:33 time: 0.380371 data_time: 0.032538 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.907764 2023/08/08 17:17:49 - mmengine - INFO - Epoch(train) [121][420/529] lr: 5.000000e-04 eta: 4:43:30 time: 0.380505 data_time: 0.033094 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.823792 2023/08/08 17:17:53 - mmengine - INFO - Epoch(train) [121][430/529] lr: 5.000000e-04 eta: 4:43:26 time: 0.379711 data_time: 0.033714 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.873310 2023/08/08 17:17:56 - mmengine - INFO - Epoch(train) [121][440/529] lr: 5.000000e-04 eta: 4:43:22 time: 0.374759 data_time: 0.033689 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.876216 2023/08/08 17:18:00 - mmengine - INFO - Epoch(train) [121][450/529] lr: 5.000000e-04 eta: 4:43:19 time: 0.365856 data_time: 0.033661 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.879246 2023/08/08 17:18:03 - mmengine - INFO - Epoch(train) [121][460/529] lr: 5.000000e-04 eta: 4:43:15 time: 0.354342 data_time: 0.033473 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.894878 2023/08/08 17:18:07 - mmengine - INFO - Epoch(train) [121][470/529] lr: 5.000000e-04 eta: 4:43:11 time: 0.355714 data_time: 0.033304 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.886242 2023/08/08 17:18:11 - mmengine - INFO - Epoch(train) [121][480/529] lr: 5.000000e-04 eta: 4:43:08 time: 0.358887 data_time: 0.033402 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.836164 2023/08/08 17:18:14 - mmengine - INFO - Epoch(train) [121][490/529] lr: 5.000000e-04 eta: 4:43:04 time: 0.361819 data_time: 0.033342 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.905388 2023/08/08 17:18:18 - mmengine - INFO - Epoch(train) [121][500/529] lr: 5.000000e-04 eta: 4:43:01 time: 0.361986 data_time: 0.033263 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.880910 2023/08/08 17:18:21 - mmengine - INFO - Epoch(train) [121][510/529] lr: 5.000000e-04 eta: 4:42:57 time: 0.360535 data_time: 0.032656 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.889737 2023/08/08 17:18:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:18:25 - mmengine - INFO - Epoch(train) [121][520/529] lr: 5.000000e-04 eta: 4:42:53 time: 0.360460 data_time: 0.032670 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.909083 2023/08/08 17:18:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:18:32 - mmengine - INFO - Epoch(train) [122][ 10/529] lr: 5.000000e-04 eta: 4:42:47 time: 0.364670 data_time: 0.036200 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.846374 2023/08/08 17:18:36 - mmengine - INFO - Epoch(train) [122][ 20/529] lr: 5.000000e-04 eta: 4:42:43 time: 0.364978 data_time: 0.036570 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.896585 2023/08/08 17:18:39 - mmengine - INFO - Epoch(train) [122][ 30/529] lr: 5.000000e-04 eta: 4:42:39 time: 0.366672 data_time: 0.037202 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.985714 2023/08/08 17:18:43 - mmengine - INFO - Epoch(train) [122][ 40/529] lr: 5.000000e-04 eta: 4:42:36 time: 0.364150 data_time: 0.037237 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.923134 2023/08/08 17:18:46 - mmengine - INFO - Epoch(train) [122][ 50/529] lr: 5.000000e-04 eta: 4:42:32 time: 0.361927 data_time: 0.037242 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.901492 2023/08/08 17:18:50 - mmengine - INFO - Epoch(train) [122][ 60/529] lr: 5.000000e-04 eta: 4:42:28 time: 0.349934 data_time: 0.033216 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.894173 2023/08/08 17:18:53 - mmengine - INFO - Epoch(train) [122][ 70/529] lr: 5.000000e-04 eta: 4:42:25 time: 0.354073 data_time: 0.033415 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.835020 2023/08/08 17:18:57 - mmengine - INFO - Epoch(train) [122][ 80/529] lr: 5.000000e-04 eta: 4:42:21 time: 0.353418 data_time: 0.033190 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.898640 2023/08/08 17:19:01 - mmengine - INFO - Epoch(train) [122][ 90/529] lr: 5.000000e-04 eta: 4:42:18 time: 0.353658 data_time: 0.032610 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.870094 2023/08/08 17:19:04 - mmengine - INFO - Epoch(train) [122][100/529] lr: 5.000000e-04 eta: 4:42:14 time: 0.356124 data_time: 0.032846 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.902195 2023/08/08 17:19:08 - mmengine - INFO - Epoch(train) [122][110/529] lr: 5.000000e-04 eta: 4:42:10 time: 0.358464 data_time: 0.032400 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.956467 2023/08/08 17:19:11 - mmengine - INFO - Epoch(train) [122][120/529] lr: 5.000000e-04 eta: 4:42:07 time: 0.352338 data_time: 0.031660 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.906256 2023/08/08 17:19:15 - mmengine - INFO - Epoch(train) [122][130/529] lr: 5.000000e-04 eta: 4:42:03 time: 0.350346 data_time: 0.031314 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.900085 2023/08/08 17:19:18 - mmengine - INFO - Epoch(train) [122][140/529] lr: 5.000000e-04 eta: 4:41:59 time: 0.350663 data_time: 0.031474 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.853505 2023/08/08 17:19:22 - mmengine - INFO - Epoch(train) [122][150/529] lr: 5.000000e-04 eta: 4:41:56 time: 0.350632 data_time: 0.031416 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.847298 2023/08/08 17:19:25 - mmengine - INFO - Epoch(train) [122][160/529] lr: 5.000000e-04 eta: 4:41:52 time: 0.348340 data_time: 0.031275 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.851048 2023/08/08 17:19:29 - mmengine - INFO - Epoch(train) [122][170/529] lr: 5.000000e-04 eta: 4:41:48 time: 0.352416 data_time: 0.032350 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.919569 2023/08/08 17:19:32 - mmengine - INFO - Epoch(train) [122][180/529] lr: 5.000000e-04 eta: 4:41:45 time: 0.352418 data_time: 0.032392 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.918211 2023/08/08 17:19:36 - mmengine - INFO - Epoch(train) [122][190/529] lr: 5.000000e-04 eta: 4:41:41 time: 0.350180 data_time: 0.032155 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.896253 2023/08/08 17:19:39 - mmengine - INFO - Epoch(train) [122][200/529] lr: 5.000000e-04 eta: 4:41:37 time: 0.348451 data_time: 0.031617 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.915794 2023/08/08 17:19:43 - mmengine - INFO - Epoch(train) [122][210/529] lr: 5.000000e-04 eta: 4:41:33 time: 0.350258 data_time: 0.032060 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.878471 2023/08/08 17:19:46 - mmengine - INFO - Epoch(train) [122][220/529] lr: 5.000000e-04 eta: 4:41:30 time: 0.350547 data_time: 0.031812 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.917516 2023/08/08 17:19:50 - mmengine - INFO - Epoch(train) [122][230/529] lr: 5.000000e-04 eta: 4:41:26 time: 0.351624 data_time: 0.032051 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.870225 2023/08/08 17:19:53 - mmengine - INFO - Epoch(train) [122][240/529] lr: 5.000000e-04 eta: 4:41:23 time: 0.356037 data_time: 0.032517 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.879572 2023/08/08 17:19:57 - mmengine - INFO - Epoch(train) [122][250/529] lr: 5.000000e-04 eta: 4:41:19 time: 0.359684 data_time: 0.032708 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.847778 2023/08/08 17:20:01 - mmengine - INFO - Epoch(train) [122][260/529] lr: 5.000000e-04 eta: 4:41:15 time: 0.359214 data_time: 0.032326 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.933865 2023/08/08 17:20:04 - mmengine - INFO - Epoch(train) [122][270/529] lr: 5.000000e-04 eta: 4:41:12 time: 0.355333 data_time: 0.031661 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.876526 2023/08/08 17:20:08 - mmengine - INFO - Epoch(train) [122][280/529] lr: 5.000000e-04 eta: 4:41:08 time: 0.356181 data_time: 0.032446 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.914760 2023/08/08 17:20:11 - mmengine - INFO - Epoch(train) [122][290/529] lr: 5.000000e-04 eta: 4:41:04 time: 0.355553 data_time: 0.032264 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.934008 2023/08/08 17:20:15 - mmengine - INFO - Epoch(train) [122][300/529] lr: 5.000000e-04 eta: 4:41:01 time: 0.353538 data_time: 0.032307 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.861706 2023/08/08 17:20:18 - mmengine - INFO - Epoch(train) [122][310/529] lr: 5.000000e-04 eta: 4:40:57 time: 0.357987 data_time: 0.032942 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.869827 2023/08/08 17:20:22 - mmengine - INFO - Epoch(train) [122][320/529] lr: 5.000000e-04 eta: 4:40:54 time: 0.360186 data_time: 0.032866 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.897803 2023/08/08 17:20:26 - mmengine - INFO - Epoch(train) [122][330/529] lr: 5.000000e-04 eta: 4:40:50 time: 0.360988 data_time: 0.031762 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.884489 2023/08/08 17:20:29 - mmengine - INFO - Epoch(train) [122][340/529] lr: 5.000000e-04 eta: 4:40:46 time: 0.359513 data_time: 0.031604 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.919547 2023/08/08 17:20:33 - mmengine - INFO - Epoch(train) [122][350/529] lr: 5.000000e-04 eta: 4:40:43 time: 0.359960 data_time: 0.031653 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.922815 2023/08/08 17:20:36 - mmengine - INFO - Epoch(train) [122][360/529] lr: 5.000000e-04 eta: 4:40:39 time: 0.356503 data_time: 0.031640 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.819823 2023/08/08 17:20:40 - mmengine - INFO - Epoch(train) [122][370/529] lr: 5.000000e-04 eta: 4:40:36 time: 0.362363 data_time: 0.032368 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.852585 2023/08/08 17:20:44 - mmengine - INFO - Epoch(train) [122][380/529] lr: 5.000000e-04 eta: 4:40:32 time: 0.366150 data_time: 0.032884 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.894991 2023/08/08 17:20:47 - mmengine - INFO - Epoch(train) [122][390/529] lr: 5.000000e-04 eta: 4:40:29 time: 0.366700 data_time: 0.033004 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.870581 2023/08/08 17:20:51 - mmengine - INFO - Epoch(train) [122][400/529] lr: 5.000000e-04 eta: 4:40:25 time: 0.366054 data_time: 0.032868 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.821912 2023/08/08 17:20:55 - mmengine - INFO - Epoch(train) [122][410/529] lr: 5.000000e-04 eta: 4:40:21 time: 0.365775 data_time: 0.032358 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.896818 2023/08/08 17:20:58 - mmengine - INFO - Epoch(train) [122][420/529] lr: 5.000000e-04 eta: 4:40:18 time: 0.359222 data_time: 0.031807 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.904320 2023/08/08 17:21:02 - mmengine - INFO - Epoch(train) [122][430/529] lr: 5.000000e-04 eta: 4:40:14 time: 0.360292 data_time: 0.031540 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.885411 2023/08/08 17:21:06 - mmengine - INFO - Epoch(train) [122][440/529] lr: 5.000000e-04 eta: 4:40:11 time: 0.362390 data_time: 0.031698 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.895474 2023/08/08 17:21:09 - mmengine - INFO - Epoch(train) [122][450/529] lr: 5.000000e-04 eta: 4:40:07 time: 0.367320 data_time: 0.035714 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.877214 2023/08/08 17:21:13 - mmengine - INFO - Epoch(train) [122][460/529] lr: 5.000000e-04 eta: 4:40:04 time: 0.368571 data_time: 0.036131 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.893553 2023/08/08 17:21:17 - mmengine - INFO - Epoch(train) [122][470/529] lr: 5.000000e-04 eta: 4:40:00 time: 0.368389 data_time: 0.036246 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.874407 2023/08/08 17:21:20 - mmengine - INFO - Epoch(train) [122][480/529] lr: 5.000000e-04 eta: 4:39:56 time: 0.362302 data_time: 0.035987 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.900112 2023/08/08 17:21:24 - mmengine - INFO - Epoch(train) [122][490/529] lr: 5.000000e-04 eta: 4:39:53 time: 0.362161 data_time: 0.035830 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.875343 2023/08/08 17:21:28 - mmengine - INFO - Epoch(train) [122][500/529] lr: 5.000000e-04 eta: 4:39:49 time: 0.363671 data_time: 0.032245 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.915984 2023/08/08 17:21:31 - mmengine - INFO - Epoch(train) [122][510/529] lr: 5.000000e-04 eta: 4:39:46 time: 0.362705 data_time: 0.031997 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.915174 2023/08/08 17:21:35 - mmengine - INFO - Epoch(train) [122][520/529] lr: 5.000000e-04 eta: 4:39:42 time: 0.368127 data_time: 0.032151 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.866379 2023/08/08 17:21:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:21:42 - mmengine - INFO - Epoch(train) [123][ 10/529] lr: 5.000000e-04 eta: 4:39:35 time: 0.369678 data_time: 0.035834 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.878217 2023/08/08 17:21:45 - mmengine - INFO - Epoch(train) [123][ 20/529] lr: 5.000000e-04 eta: 4:39:32 time: 0.360588 data_time: 0.035511 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.913697 2023/08/08 17:21:49 - mmengine - INFO - Epoch(train) [123][ 30/529] lr: 5.000000e-04 eta: 4:39:28 time: 0.357761 data_time: 0.035453 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.886469 2023/08/08 17:21:52 - mmengine - INFO - Epoch(train) [123][ 40/529] lr: 5.000000e-04 eta: 4:39:24 time: 0.353762 data_time: 0.035520 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.880513 2023/08/08 17:21:56 - mmengine - INFO - Epoch(train) [123][ 50/529] lr: 5.000000e-04 eta: 4:39:21 time: 0.352649 data_time: 0.035331 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.914408 2023/08/08 17:21:59 - mmengine - INFO - Epoch(train) [123][ 60/529] lr: 5.000000e-04 eta: 4:39:17 time: 0.349666 data_time: 0.031553 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.901194 2023/08/08 17:22:03 - mmengine - INFO - Epoch(train) [123][ 70/529] lr: 5.000000e-04 eta: 4:39:13 time: 0.354639 data_time: 0.032195 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.909829 2023/08/08 17:22:07 - mmengine - INFO - Epoch(train) [123][ 80/529] lr: 5.000000e-04 eta: 4:39:10 time: 0.355560 data_time: 0.032456 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.916327 2023/08/08 17:22:11 - mmengine - INFO - Epoch(train) [123][ 90/529] lr: 5.000000e-04 eta: 4:39:06 time: 0.368521 data_time: 0.036349 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.903159 2023/08/08 17:22:15 - mmengine - INFO - Epoch(train) [123][100/529] lr: 5.000000e-04 eta: 4:39:03 time: 0.377596 data_time: 0.036690 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.905206 2023/08/08 17:22:18 - mmengine - INFO - Epoch(train) [123][110/529] lr: 5.000000e-04 eta: 4:39:00 time: 0.379373 data_time: 0.037486 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.856067 2023/08/08 17:22:22 - mmengine - INFO - Epoch(train) [123][120/529] lr: 5.000000e-04 eta: 4:38:56 time: 0.378222 data_time: 0.036981 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.873028 2023/08/08 17:22:25 - mmengine - INFO - Epoch(train) [123][130/529] lr: 5.000000e-04 eta: 4:38:52 time: 0.379129 data_time: 0.036964 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.902298 2023/08/08 17:22:29 - mmengine - INFO - Epoch(train) [123][140/529] lr: 5.000000e-04 eta: 4:38:49 time: 0.365436 data_time: 0.033259 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.858335 2023/08/08 17:22:33 - mmengine - INFO - Epoch(train) [123][150/529] lr: 5.000000e-04 eta: 4:38:45 time: 0.357014 data_time: 0.032999 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.910873 2023/08/08 17:22:36 - mmengine - INFO - Epoch(train) [123][160/529] lr: 5.000000e-04 eta: 4:38:41 time: 0.355582 data_time: 0.032157 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.910948 2023/08/08 17:22:40 - mmengine - INFO - Epoch(train) [123][170/529] lr: 5.000000e-04 eta: 4:38:38 time: 0.354264 data_time: 0.031947 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.873984 2023/08/08 17:22:43 - mmengine - INFO - Epoch(train) [123][180/529] lr: 5.000000e-04 eta: 4:38:34 time: 0.359025 data_time: 0.032038 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.872922 2023/08/08 17:22:47 - mmengine - INFO - Epoch(train) [123][190/529] lr: 5.000000e-04 eta: 4:38:31 time: 0.360197 data_time: 0.032010 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.888801 2023/08/08 17:22:51 - mmengine - INFO - Epoch(train) [123][200/529] lr: 5.000000e-04 eta: 4:38:27 time: 0.360379 data_time: 0.032052 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.866001 2023/08/08 17:22:54 - mmengine - INFO - Epoch(train) [123][210/529] lr: 5.000000e-04 eta: 4:38:23 time: 0.363455 data_time: 0.032200 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.899178 2023/08/08 17:22:58 - mmengine - INFO - Epoch(train) [123][220/529] lr: 5.000000e-04 eta: 4:38:20 time: 0.362185 data_time: 0.032213 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.901910 2023/08/08 17:23:01 - mmengine - INFO - Epoch(train) [123][230/529] lr: 5.000000e-04 eta: 4:38:16 time: 0.355350 data_time: 0.031607 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.909124 2023/08/08 17:23:05 - mmengine - INFO - Epoch(train) [123][240/529] lr: 5.000000e-04 eta: 4:38:12 time: 0.353542 data_time: 0.031119 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.898130 2023/08/08 17:23:08 - mmengine - INFO - Epoch(train) [123][250/529] lr: 5.000000e-04 eta: 4:38:09 time: 0.353506 data_time: 0.031033 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.896426 2023/08/08 17:23:12 - mmengine - INFO - Epoch(train) [123][260/529] lr: 5.000000e-04 eta: 4:38:05 time: 0.349545 data_time: 0.030985 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.893553 2023/08/08 17:23:15 - mmengine - INFO - Epoch(train) [123][270/529] lr: 5.000000e-04 eta: 4:38:01 time: 0.353606 data_time: 0.030937 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.895872 2023/08/08 17:23:19 - mmengine - INFO - Epoch(train) [123][280/529] lr: 5.000000e-04 eta: 4:37:58 time: 0.355408 data_time: 0.031177 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.871196 2023/08/08 17:23:23 - mmengine - INFO - Epoch(train) [123][290/529] lr: 5.000000e-04 eta: 4:37:54 time: 0.355248 data_time: 0.031552 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.852911 2023/08/08 17:23:26 - mmengine - INFO - Epoch(train) [123][300/529] lr: 5.000000e-04 eta: 4:37:50 time: 0.354116 data_time: 0.031386 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.892861 2023/08/08 17:23:30 - mmengine - INFO - Epoch(train) [123][310/529] lr: 5.000000e-04 eta: 4:37:47 time: 0.354611 data_time: 0.031184 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.858354 2023/08/08 17:23:33 - mmengine - INFO - Epoch(train) [123][320/529] lr: 5.000000e-04 eta: 4:37:43 time: 0.353121 data_time: 0.031811 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.888181 2023/08/08 17:23:37 - mmengine - INFO - Epoch(train) [123][330/529] lr: 5.000000e-04 eta: 4:37:40 time: 0.353282 data_time: 0.032279 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.909953 2023/08/08 17:23:40 - mmengine - INFO - Epoch(train) [123][340/529] lr: 5.000000e-04 eta: 4:37:36 time: 0.355703 data_time: 0.032084 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.906627 2023/08/08 17:23:44 - mmengine - INFO - Epoch(train) [123][350/529] lr: 5.000000e-04 eta: 4:37:32 time: 0.357214 data_time: 0.032614 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.860775 2023/08/08 17:23:47 - mmengine - INFO - Epoch(train) [123][360/529] lr: 5.000000e-04 eta: 4:37:29 time: 0.358507 data_time: 0.033814 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.914808 2023/08/08 17:23:51 - mmengine - INFO - Epoch(train) [123][370/529] lr: 5.000000e-04 eta: 4:37:25 time: 0.357658 data_time: 0.034282 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.874129 2023/08/08 17:23:55 - mmengine - INFO - Epoch(train) [123][380/529] lr: 5.000000e-04 eta: 4:37:21 time: 0.357354 data_time: 0.034393 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.851820 2023/08/08 17:23:58 - mmengine - INFO - Epoch(train) [123][390/529] lr: 5.000000e-04 eta: 4:37:18 time: 0.357159 data_time: 0.034954 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.833084 2023/08/08 17:24:02 - mmengine - INFO - Epoch(train) [123][400/529] lr: 5.000000e-04 eta: 4:37:14 time: 0.357396 data_time: 0.034686 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.847109 2023/08/08 17:24:05 - mmengine - INFO - Epoch(train) [123][410/529] lr: 5.000000e-04 eta: 4:37:11 time: 0.359755 data_time: 0.037157 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.881560 2023/08/08 17:24:09 - mmengine - INFO - Epoch(train) [123][420/529] lr: 5.000000e-04 eta: 4:37:07 time: 0.363188 data_time: 0.036397 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.873590 2023/08/08 17:24:13 - mmengine - INFO - Epoch(train) [123][430/529] lr: 5.000000e-04 eta: 4:37:04 time: 0.364132 data_time: 0.035699 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.942082 2023/08/08 17:24:17 - mmengine - INFO - Epoch(train) [123][440/529] lr: 5.000000e-04 eta: 4:37:00 time: 0.370309 data_time: 0.035035 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.870200 2023/08/08 17:24:21 - mmengine - INFO - Epoch(train) [123][450/529] lr: 5.000000e-04 eta: 4:36:57 time: 0.377165 data_time: 0.034979 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.859922 2023/08/08 17:24:24 - mmengine - INFO - Epoch(train) [123][460/529] lr: 5.000000e-04 eta: 4:36:53 time: 0.376961 data_time: 0.031695 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.930008 2023/08/08 17:24:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:24:28 - mmengine - INFO - Epoch(train) [123][470/529] lr: 5.000000e-04 eta: 4:36:50 time: 0.374718 data_time: 0.031851 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.856043 2023/08/08 17:24:32 - mmengine - INFO - Epoch(train) [123][480/529] lr: 5.000000e-04 eta: 4:36:46 time: 0.377297 data_time: 0.032812 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.909346 2023/08/08 17:24:35 - mmengine - INFO - Epoch(train) [123][490/529] lr: 5.000000e-04 eta: 4:36:42 time: 0.371575 data_time: 0.033336 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.863448 2023/08/08 17:24:39 - mmengine - INFO - Epoch(train) [123][500/529] lr: 5.000000e-04 eta: 4:36:39 time: 0.363455 data_time: 0.033234 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.936848 2023/08/08 17:24:42 - mmengine - INFO - Epoch(train) [123][510/529] lr: 5.000000e-04 eta: 4:36:35 time: 0.359382 data_time: 0.032869 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.911528 2023/08/08 17:24:46 - mmengine - INFO - Epoch(train) [123][520/529] lr: 5.000000e-04 eta: 4:36:31 time: 0.357478 data_time: 0.032507 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.912839 2023/08/08 17:24:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:24:53 - mmengine - INFO - Epoch(train) [124][ 10/529] lr: 5.000000e-04 eta: 4:36:25 time: 0.355477 data_time: 0.035315 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.929512 2023/08/08 17:24:56 - mmengine - INFO - Epoch(train) [124][ 20/529] lr: 5.000000e-04 eta: 4:36:21 time: 0.355439 data_time: 0.035500 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.891796 2023/08/08 17:25:00 - mmengine - INFO - Epoch(train) [124][ 30/529] lr: 5.000000e-04 eta: 4:36:17 time: 0.355684 data_time: 0.035975 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.888653 2023/08/08 17:25:03 - mmengine - INFO - Epoch(train) [124][ 40/529] lr: 5.000000e-04 eta: 4:36:14 time: 0.357161 data_time: 0.036442 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.829411 2023/08/08 17:25:07 - mmengine - INFO - Epoch(train) [124][ 50/529] lr: 5.000000e-04 eta: 4:36:10 time: 0.361793 data_time: 0.036802 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.889686 2023/08/08 17:25:11 - mmengine - INFO - Epoch(train) [124][ 60/529] lr: 5.000000e-04 eta: 4:36:07 time: 0.357009 data_time: 0.032856 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.919855 2023/08/08 17:25:14 - mmengine - INFO - Epoch(train) [124][ 70/529] lr: 5.000000e-04 eta: 4:36:03 time: 0.359511 data_time: 0.033650 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.901327 2023/08/08 17:25:18 - mmengine - INFO - Epoch(train) [124][ 80/529] lr: 5.000000e-04 eta: 4:35:59 time: 0.363912 data_time: 0.037229 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.902581 2023/08/08 17:25:21 - mmengine - INFO - Epoch(train) [124][ 90/529] lr: 5.000000e-04 eta: 4:35:56 time: 0.361569 data_time: 0.037410 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.930525 2023/08/08 17:25:25 - mmengine - INFO - Epoch(train) [124][100/529] lr: 5.000000e-04 eta: 4:35:52 time: 0.358245 data_time: 0.038058 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.854091 2023/08/08 17:25:28 - mmengine - INFO - Epoch(train) [124][110/529] lr: 5.000000e-04 eta: 4:35:48 time: 0.356947 data_time: 0.038559 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.902669 2023/08/08 17:25:32 - mmengine - INFO - Epoch(train) [124][120/529] lr: 5.000000e-04 eta: 4:35:45 time: 0.352002 data_time: 0.038499 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.906787 2023/08/08 17:25:35 - mmengine - INFO - Epoch(train) [124][130/529] lr: 5.000000e-04 eta: 4:35:41 time: 0.346684 data_time: 0.035303 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.902141 2023/08/08 17:25:39 - mmengine - INFO - Epoch(train) [124][140/529] lr: 5.000000e-04 eta: 4:35:37 time: 0.347587 data_time: 0.035547 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.896473 2023/08/08 17:25:42 - mmengine - INFO - Epoch(train) [124][150/529] lr: 5.000000e-04 eta: 4:35:34 time: 0.346863 data_time: 0.034777 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.916061 2023/08/08 17:25:46 - mmengine - INFO - Epoch(train) [124][160/529] lr: 5.000000e-04 eta: 4:35:30 time: 0.348785 data_time: 0.033925 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.924578 2023/08/08 17:25:49 - mmengine - INFO - Epoch(train) [124][170/529] lr: 5.000000e-04 eta: 4:35:26 time: 0.352571 data_time: 0.033525 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.872838 2023/08/08 17:25:53 - mmengine - INFO - Epoch(train) [124][180/529] lr: 5.000000e-04 eta: 4:35:23 time: 0.353239 data_time: 0.033086 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.921064 2023/08/08 17:25:56 - mmengine - INFO - Epoch(train) [124][190/529] lr: 5.000000e-04 eta: 4:35:19 time: 0.351040 data_time: 0.032123 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.920875 2023/08/08 17:26:00 - mmengine - INFO - Epoch(train) [124][200/529] lr: 5.000000e-04 eta: 4:35:15 time: 0.350153 data_time: 0.031859 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.911342 2023/08/08 17:26:03 - mmengine - INFO - Epoch(train) [124][210/529] lr: 5.000000e-04 eta: 4:35:12 time: 0.350224 data_time: 0.032172 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.807574 2023/08/08 17:26:07 - mmengine - INFO - Epoch(train) [124][220/529] lr: 5.000000e-04 eta: 4:35:08 time: 0.349142 data_time: 0.032096 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.907349 2023/08/08 17:26:10 - mmengine - INFO - Epoch(train) [124][230/529] lr: 5.000000e-04 eta: 4:35:04 time: 0.349046 data_time: 0.032307 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.845495 2023/08/08 17:26:14 - mmengine - INFO - Epoch(train) [124][240/529] lr: 5.000000e-04 eta: 4:35:01 time: 0.352220 data_time: 0.032591 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.927744 2023/08/08 17:26:18 - mmengine - INFO - Epoch(train) [124][250/529] lr: 5.000000e-04 eta: 4:34:57 time: 0.352172 data_time: 0.032886 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.914741 2023/08/08 17:26:21 - mmengine - INFO - Epoch(train) [124][260/529] lr: 5.000000e-04 eta: 4:34:53 time: 0.350332 data_time: 0.032747 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.905429 2023/08/08 17:26:25 - mmengine - INFO - Epoch(train) [124][270/529] lr: 5.000000e-04 eta: 4:34:50 time: 0.351606 data_time: 0.032683 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.900695 2023/08/08 17:26:28 - mmengine - INFO - Epoch(train) [124][280/529] lr: 5.000000e-04 eta: 4:34:46 time: 0.351333 data_time: 0.032481 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.882552 2023/08/08 17:26:32 - mmengine - INFO - Epoch(train) [124][290/529] lr: 5.000000e-04 eta: 4:34:42 time: 0.352965 data_time: 0.036060 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.881728 2023/08/08 17:26:35 - mmengine - INFO - Epoch(train) [124][300/529] lr: 5.000000e-04 eta: 4:34:39 time: 0.353063 data_time: 0.035923 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.910272 2023/08/08 17:26:39 - mmengine - INFO - Epoch(train) [124][310/529] lr: 5.000000e-04 eta: 4:34:35 time: 0.354302 data_time: 0.036181 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.954421 2023/08/08 17:26:42 - mmengine - INFO - Epoch(train) [124][320/529] lr: 5.000000e-04 eta: 4:34:31 time: 0.351813 data_time: 0.036636 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.874714 2023/08/08 17:26:46 - mmengine - INFO - Epoch(train) [124][330/529] lr: 5.000000e-04 eta: 4:34:28 time: 0.351312 data_time: 0.036613 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.893788 2023/08/08 17:26:49 - mmengine - INFO - Epoch(train) [124][340/529] lr: 5.000000e-04 eta: 4:34:24 time: 0.346782 data_time: 0.032828 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.905831 2023/08/08 17:26:53 - mmengine - INFO - Epoch(train) [124][350/529] lr: 5.000000e-04 eta: 4:34:20 time: 0.346614 data_time: 0.032882 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.934517 2023/08/08 17:26:56 - mmengine - INFO - Epoch(train) [124][360/529] lr: 5.000000e-04 eta: 4:34:16 time: 0.347568 data_time: 0.032637 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.921134 2023/08/08 17:27:00 - mmengine - INFO - Epoch(train) [124][370/529] lr: 5.000000e-04 eta: 4:34:13 time: 0.348493 data_time: 0.032163 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.908616 2023/08/08 17:27:03 - mmengine - INFO - Epoch(train) [124][380/529] lr: 5.000000e-04 eta: 4:34:09 time: 0.349771 data_time: 0.032368 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.932022 2023/08/08 17:27:07 - mmengine - INFO - Epoch(train) [124][390/529] lr: 5.000000e-04 eta: 4:34:06 time: 0.353223 data_time: 0.032618 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.908599 2023/08/08 17:27:10 - mmengine - INFO - Epoch(train) [124][400/529] lr: 5.000000e-04 eta: 4:34:02 time: 0.354154 data_time: 0.032648 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.910709 2023/08/08 17:27:14 - mmengine - INFO - Epoch(train) [124][410/529] lr: 5.000000e-04 eta: 4:33:58 time: 0.352285 data_time: 0.032361 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.864217 2023/08/08 17:27:17 - mmengine - INFO - Epoch(train) [124][420/529] lr: 5.000000e-04 eta: 4:33:55 time: 0.356828 data_time: 0.033738 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.901912 2023/08/08 17:27:21 - mmengine - INFO - Epoch(train) [124][430/529] lr: 5.000000e-04 eta: 4:33:51 time: 0.357191 data_time: 0.033595 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.854167 2023/08/08 17:27:25 - mmengine - INFO - Epoch(train) [124][440/529] lr: 5.000000e-04 eta: 4:33:47 time: 0.356067 data_time: 0.033337 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.887005 2023/08/08 17:27:28 - mmengine - INFO - Epoch(train) [124][450/529] lr: 5.000000e-04 eta: 4:33:44 time: 0.356722 data_time: 0.033327 memory: 4565 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.904717 2023/08/08 17:27:32 - mmengine - INFO - Epoch(train) [124][460/529] lr: 5.000000e-04 eta: 4:33:40 time: 0.359585 data_time: 0.033963 memory: 4565 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.777476 2023/08/08 17:27:35 - mmengine - INFO - Epoch(train) [124][470/529] lr: 5.000000e-04 eta: 4:33:36 time: 0.353849 data_time: 0.032192 memory: 4565 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.934570 2023/08/08 17:27:39 - mmengine - INFO - Epoch(train) [124][480/529] lr: 5.000000e-04 eta: 4:33:33 time: 0.355969 data_time: 0.031707 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.914564 2023/08/08 17:27:42 - mmengine - INFO - Epoch(train) [124][490/529] lr: 5.000000e-04 eta: 4:33:29 time: 0.359311 data_time: 0.031955 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.882990 2023/08/08 17:27:46 - mmengine - INFO - Epoch(train) [124][500/529] lr: 5.000000e-04 eta: 4:33:26 time: 0.362520 data_time: 0.035722 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.889228 2023/08/08 17:27:50 - mmengine - INFO - Epoch(train) [124][510/529] lr: 5.000000e-04 eta: 4:33:22 time: 0.362872 data_time: 0.035452 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.904865 2023/08/08 17:27:53 - mmengine - INFO - Epoch(train) [124][520/529] lr: 5.000000e-04 eta: 4:33:19 time: 0.365369 data_time: 0.035530 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.889571 2023/08/08 17:27:57 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:28:00 - mmengine - INFO - Epoch(train) [125][ 10/529] lr: 5.000000e-04 eta: 4:33:12 time: 0.363965 data_time: 0.039551 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.875893 2023/08/08 17:28:04 - mmengine - INFO - Epoch(train) [125][ 20/529] lr: 5.000000e-04 eta: 4:33:08 time: 0.364288 data_time: 0.039291 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.881635 2023/08/08 17:28:07 - mmengine - INFO - Epoch(train) [125][ 30/529] lr: 5.000000e-04 eta: 4:33:04 time: 0.358649 data_time: 0.035242 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.924496 2023/08/08 17:28:11 - mmengine - INFO - Epoch(train) [125][ 40/529] lr: 5.000000e-04 eta: 4:33:01 time: 0.358560 data_time: 0.035556 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.842567 2023/08/08 17:28:15 - mmengine - INFO - Epoch(train) [125][ 50/529] lr: 5.000000e-04 eta: 4:32:57 time: 0.366280 data_time: 0.036058 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.956467 2023/08/08 17:28:19 - mmengine - INFO - Epoch(train) [125][ 60/529] lr: 5.000000e-04 eta: 4:32:54 time: 0.368392 data_time: 0.032285 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.880629 2023/08/08 17:28:22 - mmengine - INFO - Epoch(train) [125][ 70/529] lr: 5.000000e-04 eta: 4:32:50 time: 0.370091 data_time: 0.032720 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.948224 2023/08/08 17:28:26 - mmengine - INFO - Epoch(train) [125][ 80/529] lr: 5.000000e-04 eta: 4:32:47 time: 0.372617 data_time: 0.032815 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.900887 2023/08/08 17:28:30 - mmengine - INFO - Epoch(train) [125][ 90/529] lr: 5.000000e-04 eta: 4:32:43 time: 0.371446 data_time: 0.032483 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.913599 2023/08/08 17:28:33 - mmengine - INFO - Epoch(train) [125][100/529] lr: 5.000000e-04 eta: 4:32:40 time: 0.363264 data_time: 0.032153 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.913172 2023/08/08 17:28:37 - mmengine - INFO - Epoch(train) [125][110/529] lr: 5.000000e-04 eta: 4:32:36 time: 0.357867 data_time: 0.032158 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.892790 2023/08/08 17:28:40 - mmengine - INFO - Epoch(train) [125][120/529] lr: 5.000000e-04 eta: 4:32:32 time: 0.359358 data_time: 0.031885 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.884244 2023/08/08 17:28:44 - mmengine - INFO - Epoch(train) [125][130/529] lr: 5.000000e-04 eta: 4:32:29 time: 0.360591 data_time: 0.032021 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.878867 2023/08/08 17:28:48 - mmengine - INFO - Epoch(train) [125][140/529] lr: 5.000000e-04 eta: 4:32:25 time: 0.363941 data_time: 0.032508 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.871347 2023/08/08 17:28:51 - mmengine - INFO - Epoch(train) [125][150/529] lr: 5.000000e-04 eta: 4:32:22 time: 0.363846 data_time: 0.032404 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.905159 2023/08/08 17:28:55 - mmengine - INFO - Epoch(train) [125][160/529] lr: 5.000000e-04 eta: 4:32:18 time: 0.362986 data_time: 0.032062 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.872697 2023/08/08 17:28:58 - mmengine - INFO - Epoch(train) [125][170/529] lr: 5.000000e-04 eta: 4:32:14 time: 0.360895 data_time: 0.031881 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.913854 2023/08/08 17:29:02 - mmengine - INFO - Epoch(train) [125][180/529] lr: 5.000000e-04 eta: 4:32:11 time: 0.359838 data_time: 0.032554 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.857229 2023/08/08 17:29:06 - mmengine - INFO - Epoch(train) [125][190/529] lr: 5.000000e-04 eta: 4:32:07 time: 0.363470 data_time: 0.035981 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.852544 2023/08/08 17:29:10 - mmengine - INFO - Epoch(train) [125][200/529] lr: 5.000000e-04 eta: 4:32:04 time: 0.369487 data_time: 0.036071 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.879285 2023/08/08 17:29:13 - mmengine - INFO - Epoch(train) [125][210/529] lr: 5.000000e-04 eta: 4:32:00 time: 0.369974 data_time: 0.036262 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.929860 2023/08/08 17:29:17 - mmengine - INFO - Epoch(train) [125][220/529] lr: 5.000000e-04 eta: 4:31:57 time: 0.370005 data_time: 0.036294 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.897018 2023/08/08 17:29:20 - mmengine - INFO - Epoch(train) [125][230/529] lr: 5.000000e-04 eta: 4:31:53 time: 0.367226 data_time: 0.035527 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.881907 2023/08/08 17:29:24 - mmengine - INFO - Epoch(train) [125][240/529] lr: 5.000000e-04 eta: 4:31:49 time: 0.361868 data_time: 0.031645 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.874636 2023/08/08 17:29:28 - mmengine - INFO - Epoch(train) [125][250/529] lr: 5.000000e-04 eta: 4:31:46 time: 0.361060 data_time: 0.031711 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.962173 2023/08/08 17:29:32 - mmengine - INFO - Epoch(train) [125][260/529] lr: 5.000000e-04 eta: 4:31:42 time: 0.362536 data_time: 0.031765 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.933335 2023/08/08 17:29:35 - mmengine - INFO - Epoch(train) [125][270/529] lr: 5.000000e-04 eta: 4:31:39 time: 0.364250 data_time: 0.031972 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.883058 2023/08/08 17:29:39 - mmengine - INFO - Epoch(train) [125][280/529] lr: 5.000000e-04 eta: 4:31:35 time: 0.366637 data_time: 0.032162 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.890639 2023/08/08 17:29:42 - mmengine - INFO - Epoch(train) [125][290/529] lr: 5.000000e-04 eta: 4:31:32 time: 0.365700 data_time: 0.032157 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.795154 2023/08/08 17:29:46 - mmengine - INFO - Epoch(train) [125][300/529] lr: 5.000000e-04 eta: 4:31:28 time: 0.362167 data_time: 0.032038 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.885167 2023/08/08 17:29:49 - mmengine - INFO - Epoch(train) [125][310/529] lr: 5.000000e-04 eta: 4:31:24 time: 0.359586 data_time: 0.031659 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.910275 2023/08/08 17:29:53 - mmengine - INFO - Epoch(train) [125][320/529] lr: 5.000000e-04 eta: 4:31:21 time: 0.358704 data_time: 0.032193 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.908647 2023/08/08 17:29:57 - mmengine - INFO - Epoch(train) [125][330/529] lr: 5.000000e-04 eta: 4:31:17 time: 0.358022 data_time: 0.032208 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.936301 2023/08/08 17:30:00 - mmengine - INFO - Epoch(train) [125][340/529] lr: 5.000000e-04 eta: 4:31:14 time: 0.358931 data_time: 0.032248 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.936098 2023/08/08 17:30:04 - mmengine - INFO - Epoch(train) [125][350/529] lr: 5.000000e-04 eta: 4:31:10 time: 0.362025 data_time: 0.032724 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.923976 2023/08/08 17:30:08 - mmengine - INFO - Epoch(train) [125][360/529] lr: 5.000000e-04 eta: 4:31:06 time: 0.363196 data_time: 0.033313 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.910898 2023/08/08 17:30:11 - mmengine - INFO - Epoch(train) [125][370/529] lr: 5.000000e-04 eta: 4:31:03 time: 0.365308 data_time: 0.033137 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.868367 2023/08/08 17:30:15 - mmengine - INFO - Epoch(train) [125][380/529] lr: 5.000000e-04 eta: 4:30:59 time: 0.364947 data_time: 0.032863 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.952361 2023/08/08 17:30:19 - mmengine - INFO - Epoch(train) [125][390/529] lr: 5.000000e-04 eta: 4:30:56 time: 0.364941 data_time: 0.033389 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.948908 2023/08/08 17:30:22 - mmengine - INFO - Epoch(train) [125][400/529] lr: 5.000000e-04 eta: 4:30:52 time: 0.361362 data_time: 0.033117 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.891544 2023/08/08 17:30:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:30:26 - mmengine - INFO - Epoch(train) [125][410/529] lr: 5.000000e-04 eta: 4:30:48 time: 0.361686 data_time: 0.032716 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.817163 2023/08/08 17:30:30 - mmengine - INFO - Epoch(train) [125][420/529] lr: 5.000000e-04 eta: 4:30:45 time: 0.364222 data_time: 0.032450 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.881416 2023/08/08 17:30:33 - mmengine - INFO - Epoch(train) [125][430/529] lr: 5.000000e-04 eta: 4:30:41 time: 0.364024 data_time: 0.032766 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.900438 2023/08/08 17:30:37 - mmengine - INFO - Epoch(train) [125][440/529] lr: 5.000000e-04 eta: 4:30:38 time: 0.363571 data_time: 0.033432 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.933358 2023/08/08 17:30:40 - mmengine - INFO - Epoch(train) [125][450/529] lr: 5.000000e-04 eta: 4:30:34 time: 0.363043 data_time: 0.033643 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.933032 2023/08/08 17:30:44 - mmengine - INFO - Epoch(train) [125][460/529] lr: 5.000000e-04 eta: 4:30:31 time: 0.368087 data_time: 0.033891 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.928249 2023/08/08 17:30:48 - mmengine - INFO - Epoch(train) [125][470/529] lr: 5.000000e-04 eta: 4:30:27 time: 0.370686 data_time: 0.033970 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.900765 2023/08/08 17:30:52 - mmengine - INFO - Epoch(train) [125][480/529] lr: 5.000000e-04 eta: 4:30:24 time: 0.378523 data_time: 0.034188 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.886119 2023/08/08 17:30:56 - mmengine - INFO - Epoch(train) [125][490/529] lr: 5.000000e-04 eta: 4:30:21 time: 0.384784 data_time: 0.033804 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.941258 2023/08/08 17:31:00 - mmengine - INFO - Epoch(train) [125][500/529] lr: 5.000000e-04 eta: 4:30:17 time: 0.383730 data_time: 0.033575 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.860874 2023/08/08 17:31:03 - mmengine - INFO - Epoch(train) [125][510/529] lr: 5.000000e-04 eta: 4:30:13 time: 0.378626 data_time: 0.033385 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.855805 2023/08/08 17:31:07 - mmengine - INFO - Epoch(train) [125][520/529] lr: 5.000000e-04 eta: 4:30:10 time: 0.370061 data_time: 0.033000 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.909939 2023/08/08 17:31:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:31:14 - mmengine - INFO - Epoch(train) [126][ 10/529] lr: 5.000000e-04 eta: 4:30:03 time: 0.361358 data_time: 0.036427 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.932224 2023/08/08 17:31:17 - mmengine - INFO - Epoch(train) [126][ 20/529] lr: 5.000000e-04 eta: 4:29:59 time: 0.361794 data_time: 0.036151 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.904004 2023/08/08 17:31:21 - mmengine - INFO - Epoch(train) [126][ 30/529] lr: 5.000000e-04 eta: 4:29:56 time: 0.360589 data_time: 0.036534 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.854832 2023/08/08 17:31:24 - mmengine - INFO - Epoch(train) [126][ 40/529] lr: 5.000000e-04 eta: 4:29:52 time: 0.359653 data_time: 0.037232 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.930604 2023/08/08 17:31:28 - mmengine - INFO - Epoch(train) [126][ 50/529] lr: 5.000000e-04 eta: 4:29:49 time: 0.366230 data_time: 0.037347 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.913760 2023/08/08 17:31:32 - mmengine - INFO - Epoch(train) [126][ 60/529] lr: 5.000000e-04 eta: 4:29:45 time: 0.360849 data_time: 0.032982 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.927103 2023/08/08 17:31:35 - mmengine - INFO - Epoch(train) [126][ 70/529] lr: 5.000000e-04 eta: 4:29:41 time: 0.363114 data_time: 0.033184 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.930211 2023/08/08 17:31:39 - mmengine - INFO - Epoch(train) [126][ 80/529] lr: 5.000000e-04 eta: 4:29:38 time: 0.363229 data_time: 0.032849 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.904723 2023/08/08 17:31:42 - mmengine - INFO - Epoch(train) [126][ 90/529] lr: 5.000000e-04 eta: 4:29:34 time: 0.362257 data_time: 0.032121 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.906218 2023/08/08 17:31:46 - mmengine - INFO - Epoch(train) [126][100/529] lr: 5.000000e-04 eta: 4:29:30 time: 0.353048 data_time: 0.031693 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.876488 2023/08/08 17:31:49 - mmengine - INFO - Epoch(train) [126][110/529] lr: 5.000000e-04 eta: 4:29:27 time: 0.351608 data_time: 0.031735 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.916861 2023/08/08 17:31:53 - mmengine - INFO - Epoch(train) [126][120/529] lr: 5.000000e-04 eta: 4:29:23 time: 0.347675 data_time: 0.031333 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.895623 2023/08/08 17:31:57 - mmengine - INFO - Epoch(train) [126][130/529] lr: 5.000000e-04 eta: 4:29:19 time: 0.351283 data_time: 0.035365 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.854091 2023/08/08 17:32:00 - mmengine - INFO - Epoch(train) [126][140/529] lr: 5.000000e-04 eta: 4:29:16 time: 0.352866 data_time: 0.035475 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.939861 2023/08/08 17:32:04 - mmengine - INFO - Epoch(train) [126][150/529] lr: 5.000000e-04 eta: 4:29:12 time: 0.357945 data_time: 0.035558 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.877927 2023/08/08 17:32:08 - mmengine - INFO - Epoch(train) [126][160/529] lr: 5.000000e-04 eta: 4:29:09 time: 0.361723 data_time: 0.036226 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.885471 2023/08/08 17:32:11 - mmengine - INFO - Epoch(train) [126][170/529] lr: 5.000000e-04 eta: 4:29:05 time: 0.365769 data_time: 0.036904 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.865625 2023/08/08 17:32:15 - mmengine - INFO - Epoch(train) [126][180/529] lr: 5.000000e-04 eta: 4:29:01 time: 0.362969 data_time: 0.032736 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.948418 2023/08/08 17:32:18 - mmengine - INFO - Epoch(train) [126][190/529] lr: 5.000000e-04 eta: 4:28:58 time: 0.362367 data_time: 0.032804 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.901126 2023/08/08 17:32:22 - mmengine - INFO - Epoch(train) [126][200/529] lr: 5.000000e-04 eta: 4:28:54 time: 0.362083 data_time: 0.033647 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.863418 2023/08/08 17:32:26 - mmengine - INFO - Epoch(train) [126][210/529] lr: 5.000000e-04 eta: 4:28:51 time: 0.364356 data_time: 0.033811 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.894839 2023/08/08 17:32:30 - mmengine - INFO - Epoch(train) [126][220/529] lr: 5.000000e-04 eta: 4:28:47 time: 0.366830 data_time: 0.033587 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.897300 2023/08/08 17:32:33 - mmengine - INFO - Epoch(train) [126][230/529] lr: 5.000000e-04 eta: 4:28:44 time: 0.374111 data_time: 0.034465 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.886090 2023/08/08 17:32:37 - mmengine - INFO - Epoch(train) [126][240/529] lr: 5.000000e-04 eta: 4:28:40 time: 0.377419 data_time: 0.034626 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.879076 2023/08/08 17:32:41 - mmengine - INFO - Epoch(train) [126][250/529] lr: 5.000000e-04 eta: 4:28:37 time: 0.373788 data_time: 0.033568 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.858374 2023/08/08 17:32:44 - mmengine - INFO - Epoch(train) [126][260/529] lr: 5.000000e-04 eta: 4:28:33 time: 0.372203 data_time: 0.032706 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.846677 2023/08/08 17:32:48 - mmengine - INFO - Epoch(train) [126][270/529] lr: 5.000000e-04 eta: 4:28:30 time: 0.370098 data_time: 0.032929 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.883463 2023/08/08 17:32:52 - mmengine - INFO - Epoch(train) [126][280/529] lr: 5.000000e-04 eta: 4:28:26 time: 0.367599 data_time: 0.032388 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.885538 2023/08/08 17:32:56 - mmengine - INFO - Epoch(train) [126][290/529] lr: 5.000000e-04 eta: 4:28:23 time: 0.373105 data_time: 0.032482 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.855934 2023/08/08 17:33:00 - mmengine - INFO - Epoch(train) [126][300/529] lr: 5.000000e-04 eta: 4:28:19 time: 0.379130 data_time: 0.033041 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.826968 2023/08/08 17:33:03 - mmengine - INFO - Epoch(train) [126][310/529] lr: 5.000000e-04 eta: 4:28:16 time: 0.379068 data_time: 0.033051 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.882829 2023/08/08 17:33:07 - mmengine - INFO - Epoch(train) [126][320/529] lr: 5.000000e-04 eta: 4:28:12 time: 0.377034 data_time: 0.032416 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.892199 2023/08/08 17:33:10 - mmengine - INFO - Epoch(train) [126][330/529] lr: 5.000000e-04 eta: 4:28:08 time: 0.371672 data_time: 0.032023 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.950938 2023/08/08 17:33:14 - mmengine - INFO - Epoch(train) [126][340/529] lr: 5.000000e-04 eta: 4:28:05 time: 0.364776 data_time: 0.031521 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.929307 2023/08/08 17:33:18 - mmengine - INFO - Epoch(train) [126][350/529] lr: 5.000000e-04 eta: 4:28:01 time: 0.358880 data_time: 0.031279 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.924439 2023/08/08 17:33:21 - mmengine - INFO - Epoch(train) [126][360/529] lr: 5.000000e-04 eta: 4:27:58 time: 0.357758 data_time: 0.032014 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.914794 2023/08/08 17:33:25 - mmengine - INFO - Epoch(train) [126][370/529] lr: 5.000000e-04 eta: 4:27:54 time: 0.360057 data_time: 0.032380 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.924403 2023/08/08 17:33:29 - mmengine - INFO - Epoch(train) [126][380/529] lr: 5.000000e-04 eta: 4:27:51 time: 0.365303 data_time: 0.032432 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.922388 2023/08/08 17:33:32 - mmengine - INFO - Epoch(train) [126][390/529] lr: 5.000000e-04 eta: 4:27:47 time: 0.364281 data_time: 0.032579 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.844459 2023/08/08 17:33:36 - mmengine - INFO - Epoch(train) [126][400/529] lr: 5.000000e-04 eta: 4:27:43 time: 0.363331 data_time: 0.032675 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.881086 2023/08/08 17:33:39 - mmengine - INFO - Epoch(train) [126][410/529] lr: 5.000000e-04 eta: 4:27:40 time: 0.362101 data_time: 0.032277 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.881036 2023/08/08 17:33:43 - mmengine - INFO - Epoch(train) [126][420/529] lr: 5.000000e-04 eta: 4:27:36 time: 0.360025 data_time: 0.032477 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.869826 2023/08/08 17:33:47 - mmengine - INFO - Epoch(train) [126][430/529] lr: 5.000000e-04 eta: 4:27:33 time: 0.363562 data_time: 0.033149 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.887010 2023/08/08 17:33:51 - mmengine - INFO - Epoch(train) [126][440/529] lr: 5.000000e-04 eta: 4:27:29 time: 0.364669 data_time: 0.033636 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.923669 2023/08/08 17:33:54 - mmengine - INFO - Epoch(train) [126][450/529] lr: 5.000000e-04 eta: 4:27:25 time: 0.366455 data_time: 0.033622 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.916503 2023/08/08 17:33:58 - mmengine - INFO - Epoch(train) [126][460/529] lr: 5.000000e-04 eta: 4:27:22 time: 0.367093 data_time: 0.034404 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.889336 2023/08/08 17:34:01 - mmengine - INFO - Epoch(train) [126][470/529] lr: 5.000000e-04 eta: 4:27:18 time: 0.371263 data_time: 0.034266 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.827761 2023/08/08 17:34:05 - mmengine - INFO - Epoch(train) [126][480/529] lr: 5.000000e-04 eta: 4:27:15 time: 0.363605 data_time: 0.033520 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.863733 2023/08/08 17:34:09 - mmengine - INFO - Epoch(train) [126][490/529] lr: 5.000000e-04 eta: 4:27:11 time: 0.364032 data_time: 0.033199 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.894297 2023/08/08 17:34:12 - mmengine - INFO - Epoch(train) [126][500/529] lr: 5.000000e-04 eta: 4:27:08 time: 0.366292 data_time: 0.033102 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.884924 2023/08/08 17:34:16 - mmengine - INFO - Epoch(train) [126][510/529] lr: 5.000000e-04 eta: 4:27:04 time: 0.365729 data_time: 0.032019 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.896894 2023/08/08 17:34:20 - mmengine - INFO - Epoch(train) [126][520/529] lr: 5.000000e-04 eta: 4:27:00 time: 0.361824 data_time: 0.032048 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.933883 2023/08/08 17:34:23 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:34:27 - mmengine - INFO - Epoch(train) [127][ 10/529] lr: 5.000000e-04 eta: 4:26:54 time: 0.362061 data_time: 0.035973 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.932739 2023/08/08 17:34:30 - mmengine - INFO - Epoch(train) [127][ 20/529] lr: 5.000000e-04 eta: 4:26:50 time: 0.359001 data_time: 0.035807 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.878193 2023/08/08 17:34:34 - mmengine - INFO - Epoch(train) [127][ 30/529] lr: 5.000000e-04 eta: 4:26:46 time: 0.360715 data_time: 0.035902 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.862039 2023/08/08 17:34:37 - mmengine - INFO - Epoch(train) [127][ 40/529] lr: 5.000000e-04 eta: 4:26:43 time: 0.363887 data_time: 0.035541 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.921204 2023/08/08 17:34:41 - mmengine - INFO - Epoch(train) [127][ 50/529] lr: 5.000000e-04 eta: 4:26:39 time: 0.370351 data_time: 0.036252 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.958505 2023/08/08 17:34:45 - mmengine - INFO - Epoch(train) [127][ 60/529] lr: 5.000000e-04 eta: 4:26:36 time: 0.374608 data_time: 0.032114 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.906094 2023/08/08 17:34:49 - mmengine - INFO - Epoch(train) [127][ 70/529] lr: 5.000000e-04 eta: 4:26:33 time: 0.383169 data_time: 0.032084 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.899878 2023/08/08 17:34:53 - mmengine - INFO - Epoch(train) [127][ 80/529] lr: 5.000000e-04 eta: 4:26:29 time: 0.393030 data_time: 0.032078 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.931796 2023/08/08 17:34:57 - mmengine - INFO - Epoch(train) [127][ 90/529] lr: 5.000000e-04 eta: 4:26:26 time: 0.395347 data_time: 0.032280 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.865279 2023/08/08 17:35:01 - mmengine - INFO - Epoch(train) [127][100/529] lr: 5.000000e-04 eta: 4:26:22 time: 0.393447 data_time: 0.032186 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.902100 2023/08/08 17:35:05 - mmengine - INFO - Epoch(train) [127][110/529] lr: 5.000000e-04 eta: 4:26:19 time: 0.385347 data_time: 0.032441 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.868528 2023/08/08 17:35:08 - mmengine - INFO - Epoch(train) [127][120/529] lr: 5.000000e-04 eta: 4:26:15 time: 0.383687 data_time: 0.033439 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.897859 2023/08/08 17:35:12 - mmengine - INFO - Epoch(train) [127][130/529] lr: 5.000000e-04 eta: 4:26:12 time: 0.372334 data_time: 0.033327 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.967125 2023/08/08 17:35:15 - mmengine - INFO - Epoch(train) [127][140/529] lr: 5.000000e-04 eta: 4:26:08 time: 0.364621 data_time: 0.032981 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.903474 2023/08/08 17:35:19 - mmengine - INFO - Epoch(train) [127][150/529] lr: 5.000000e-04 eta: 4:26:04 time: 0.361346 data_time: 0.033212 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.870962 2023/08/08 17:35:23 - mmengine - INFO - Epoch(train) [127][160/529] lr: 5.000000e-04 eta: 4:26:01 time: 0.362204 data_time: 0.032995 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.893815 2023/08/08 17:35:26 - mmengine - INFO - Epoch(train) [127][170/529] lr: 5.000000e-04 eta: 4:25:57 time: 0.358677 data_time: 0.032521 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.918240 2023/08/08 17:35:30 - mmengine - INFO - Epoch(train) [127][180/529] lr: 5.000000e-04 eta: 4:25:54 time: 0.363653 data_time: 0.032945 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.854843 2023/08/08 17:35:34 - mmengine - INFO - Epoch(train) [127][190/529] lr: 5.000000e-04 eta: 4:25:50 time: 0.366698 data_time: 0.034092 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.913411 2023/08/08 17:35:37 - mmengine - INFO - Epoch(train) [127][200/529] lr: 5.000000e-04 eta: 4:25:47 time: 0.367473 data_time: 0.033496 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.796605 2023/08/08 17:35:41 - mmengine - INFO - Epoch(train) [127][210/529] lr: 5.000000e-04 eta: 4:25:43 time: 0.366602 data_time: 0.033266 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.922746 2023/08/08 17:35:45 - mmengine - INFO - Epoch(train) [127][220/529] lr: 5.000000e-04 eta: 4:25:39 time: 0.363088 data_time: 0.032762 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.864451 2023/08/08 17:35:48 - mmengine - INFO - Epoch(train) [127][230/529] lr: 5.000000e-04 eta: 4:25:36 time: 0.364811 data_time: 0.032327 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.910035 2023/08/08 17:35:52 - mmengine - INFO - Epoch(train) [127][240/529] lr: 5.000000e-04 eta: 4:25:32 time: 0.362221 data_time: 0.031317 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.861589 2023/08/08 17:35:56 - mmengine - INFO - Epoch(train) [127][250/529] lr: 5.000000e-04 eta: 4:25:29 time: 0.361606 data_time: 0.031566 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.843170 2023/08/08 17:35:59 - mmengine - INFO - Epoch(train) [127][260/529] lr: 5.000000e-04 eta: 4:25:25 time: 0.366157 data_time: 0.031733 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.850674 2023/08/08 17:36:03 - mmengine - INFO - Epoch(train) [127][270/529] lr: 5.000000e-04 eta: 4:25:22 time: 0.373651 data_time: 0.031621 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.909986 2023/08/08 17:36:07 - mmengine - INFO - Epoch(train) [127][280/529] lr: 5.000000e-04 eta: 4:25:18 time: 0.373683 data_time: 0.031433 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.919339 2023/08/08 17:36:11 - mmengine - INFO - Epoch(train) [127][290/529] lr: 5.000000e-04 eta: 4:25:15 time: 0.376090 data_time: 0.031366 memory: 4565 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.902563 2023/08/08 17:36:14 - mmengine - INFO - Epoch(train) [127][300/529] lr: 5.000000e-04 eta: 4:25:11 time: 0.376284 data_time: 0.031246 memory: 4565 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.881304 2023/08/08 17:36:18 - mmengine - INFO - Epoch(train) [127][310/529] lr: 5.000000e-04 eta: 4:25:08 time: 0.377550 data_time: 0.035046 memory: 4565 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.883742 2023/08/08 17:36:22 - mmengine - INFO - Epoch(train) [127][320/529] lr: 5.000000e-04 eta: 4:25:04 time: 0.372197 data_time: 0.035293 memory: 4565 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.849047 2023/08/08 17:36:26 - mmengine - INFO - Epoch(train) [127][330/529] lr: 5.000000e-04 eta: 4:25:01 time: 0.371137 data_time: 0.035589 memory: 4565 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.895945 2023/08/08 17:36:29 - mmengine - INFO - Epoch(train) [127][340/529] lr: 5.000000e-04 eta: 4:24:57 time: 0.370017 data_time: 0.035495 memory: 4565 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.892110 2023/08/08 17:36:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:36:33 - mmengine - INFO - Epoch(train) [127][350/529] lr: 5.000000e-04 eta: 4:24:54 time: 0.371999 data_time: 0.035526 memory: 4565 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.881295 2023/08/08 17:36:37 - mmengine - INFO - Epoch(train) [127][360/529] lr: 5.000000e-04 eta: 4:24:50 time: 0.369046 data_time: 0.031860 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.876105 2023/08/08 17:36:40 - mmengine - INFO - Epoch(train) [127][370/529] lr: 5.000000e-04 eta: 4:24:46 time: 0.367433 data_time: 0.032149 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.919857 2023/08/08 17:36:44 - mmengine - INFO - Epoch(train) [127][380/529] lr: 5.000000e-04 eta: 4:24:43 time: 0.366489 data_time: 0.032732 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.879551 2023/08/08 17:36:48 - mmengine - INFO - Epoch(train) [127][390/529] lr: 5.000000e-04 eta: 4:24:39 time: 0.366713 data_time: 0.033003 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.872389 2023/08/08 17:36:51 - mmengine - INFO - Epoch(train) [127][400/529] lr: 5.000000e-04 eta: 4:24:36 time: 0.366795 data_time: 0.032907 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.883089 2023/08/08 17:36:55 - mmengine - INFO - Epoch(train) [127][410/529] lr: 5.000000e-04 eta: 4:24:32 time: 0.363309 data_time: 0.032671 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.883954 2023/08/08 17:36:58 - mmengine - INFO - Epoch(train) [127][420/529] lr: 5.000000e-04 eta: 4:24:28 time: 0.363852 data_time: 0.032388 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.898394 2023/08/08 17:37:02 - mmengine - INFO - Epoch(train) [127][430/529] lr: 5.000000e-04 eta: 4:24:25 time: 0.358478 data_time: 0.031579 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.895979 2023/08/08 17:37:06 - mmengine - INFO - Epoch(train) [127][440/529] lr: 5.000000e-04 eta: 4:24:21 time: 0.358370 data_time: 0.032028 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.916843 2023/08/08 17:37:09 - mmengine - INFO - Epoch(train) [127][450/529] lr: 5.000000e-04 eta: 4:24:17 time: 0.355231 data_time: 0.032518 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.823898 2023/08/08 17:37:13 - mmengine - INFO - Epoch(train) [127][460/529] lr: 5.000000e-04 eta: 4:24:14 time: 0.354142 data_time: 0.032729 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.897538 2023/08/08 17:37:16 - mmengine - INFO - Epoch(train) [127][470/529] lr: 5.000000e-04 eta: 4:24:10 time: 0.352214 data_time: 0.032601 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.862880 2023/08/08 17:37:20 - mmengine - INFO - Epoch(train) [127][480/529] lr: 5.000000e-04 eta: 4:24:07 time: 0.354844 data_time: 0.032952 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.873324 2023/08/08 17:37:24 - mmengine - INFO - Epoch(train) [127][490/529] lr: 5.000000e-04 eta: 4:24:03 time: 0.362114 data_time: 0.032296 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.901010 2023/08/08 17:37:28 - mmengine - INFO - Epoch(train) [127][500/529] lr: 5.000000e-04 eta: 4:24:00 time: 0.369080 data_time: 0.031876 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.919919 2023/08/08 17:37:31 - mmengine - INFO - Epoch(train) [127][510/529] lr: 5.000000e-04 eta: 4:23:56 time: 0.373170 data_time: 0.035234 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.844667 2023/08/08 17:37:35 - mmengine - INFO - Epoch(train) [127][520/529] lr: 5.000000e-04 eta: 4:23:53 time: 0.374312 data_time: 0.035094 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.896797 2023/08/08 17:37:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:37:42 - mmengine - INFO - Epoch(train) [128][ 10/529] lr: 5.000000e-04 eta: 4:23:46 time: 0.371306 data_time: 0.039824 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.874307 2023/08/08 17:37:46 - mmengine - INFO - Epoch(train) [128][ 20/529] lr: 5.000000e-04 eta: 4:23:43 time: 0.375703 data_time: 0.040610 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.912036 2023/08/08 17:37:50 - mmengine - INFO - Epoch(train) [128][ 30/529] lr: 5.000000e-04 eta: 4:23:39 time: 0.376259 data_time: 0.037153 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.903085 2023/08/08 17:37:53 - mmengine - INFO - Epoch(train) [128][ 40/529] lr: 5.000000e-04 eta: 4:23:35 time: 0.377178 data_time: 0.037429 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.905598 2023/08/08 17:37:57 - mmengine - INFO - Epoch(train) [128][ 50/529] lr: 5.000000e-04 eta: 4:23:32 time: 0.377466 data_time: 0.037387 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.873483 2023/08/08 17:38:00 - mmengine - INFO - Epoch(train) [128][ 60/529] lr: 5.000000e-04 eta: 4:23:28 time: 0.367518 data_time: 0.032423 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.893091 2023/08/08 17:38:04 - mmengine - INFO - Epoch(train) [128][ 70/529] lr: 5.000000e-04 eta: 4:23:24 time: 0.356290 data_time: 0.031579 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.862731 2023/08/08 17:38:07 - mmengine - INFO - Epoch(train) [128][ 80/529] lr: 5.000000e-04 eta: 4:23:21 time: 0.353749 data_time: 0.031650 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.908417 2023/08/08 17:38:11 - mmengine - INFO - Epoch(train) [128][ 90/529] lr: 5.000000e-04 eta: 4:23:17 time: 0.359022 data_time: 0.031530 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.878335 2023/08/08 17:38:15 - mmengine - INFO - Epoch(train) [128][100/529] lr: 5.000000e-04 eta: 4:23:14 time: 0.366217 data_time: 0.031329 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.878528 2023/08/08 17:38:19 - mmengine - INFO - Epoch(train) [128][110/529] lr: 5.000000e-04 eta: 4:23:10 time: 0.368558 data_time: 0.031521 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.920549 2023/08/08 17:38:22 - mmengine - INFO - Epoch(train) [128][120/529] lr: 5.000000e-04 eta: 4:23:07 time: 0.369654 data_time: 0.031201 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.873286 2023/08/08 17:38:26 - mmengine - INFO - Epoch(train) [128][130/529] lr: 5.000000e-04 eta: 4:23:03 time: 0.371420 data_time: 0.034304 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.903424 2023/08/08 17:38:30 - mmengine - INFO - Epoch(train) [128][140/529] lr: 5.000000e-04 eta: 4:23:00 time: 0.365524 data_time: 0.034528 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.892092 2023/08/08 17:38:33 - mmengine - INFO - Epoch(train) [128][150/529] lr: 5.000000e-04 eta: 4:22:56 time: 0.358672 data_time: 0.034389 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.889371 2023/08/08 17:38:37 - mmengine - INFO - Epoch(train) [128][160/529] lr: 5.000000e-04 eta: 4:22:52 time: 0.358370 data_time: 0.034329 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.849194 2023/08/08 17:38:40 - mmengine - INFO - Epoch(train) [128][170/529] lr: 5.000000e-04 eta: 4:22:49 time: 0.362779 data_time: 0.034607 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.894921 2023/08/08 17:38:44 - mmengine - INFO - Epoch(train) [128][180/529] lr: 5.000000e-04 eta: 4:22:45 time: 0.360322 data_time: 0.031054 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.903824 2023/08/08 17:38:48 - mmengine - INFO - Epoch(train) [128][190/529] lr: 5.000000e-04 eta: 4:22:42 time: 0.362139 data_time: 0.030814 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.914213 2023/08/08 17:38:51 - mmengine - INFO - Epoch(train) [128][200/529] lr: 5.000000e-04 eta: 4:22:38 time: 0.362826 data_time: 0.031169 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.937399 2023/08/08 17:38:55 - mmengine - INFO - Epoch(train) [128][210/529] lr: 5.000000e-04 eta: 4:22:34 time: 0.363604 data_time: 0.031720 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.939644 2023/08/08 17:38:59 - mmengine - INFO - Epoch(train) [128][220/529] lr: 5.000000e-04 eta: 4:22:31 time: 0.361272 data_time: 0.031621 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.914261 2023/08/08 17:39:02 - mmengine - INFO - Epoch(train) [128][230/529] lr: 5.000000e-04 eta: 4:22:27 time: 0.368367 data_time: 0.031702 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.865606 2023/08/08 17:39:06 - mmengine - INFO - Epoch(train) [128][240/529] lr: 5.000000e-04 eta: 4:22:24 time: 0.373463 data_time: 0.031480 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.901210 2023/08/08 17:39:10 - mmengine - INFO - Epoch(train) [128][250/529] lr: 5.000000e-04 eta: 4:22:21 time: 0.380240 data_time: 0.031529 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.879834 2023/08/08 17:39:14 - mmengine - INFO - Epoch(train) [128][260/529] lr: 5.000000e-04 eta: 4:22:17 time: 0.386780 data_time: 0.030841 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.888461 2023/08/08 17:39:18 - mmengine - INFO - Epoch(train) [128][270/529] lr: 5.000000e-04 eta: 4:22:14 time: 0.391198 data_time: 0.031121 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.914142 2023/08/08 17:39:22 - mmengine - INFO - Epoch(train) [128][280/529] lr: 5.000000e-04 eta: 4:22:10 time: 0.384703 data_time: 0.031740 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.837173 2023/08/08 17:39:25 - mmengine - INFO - Epoch(train) [128][290/529] lr: 5.000000e-04 eta: 4:22:06 time: 0.378311 data_time: 0.031921 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.860363 2023/08/08 17:39:29 - mmengine - INFO - Epoch(train) [128][300/529] lr: 5.000000e-04 eta: 4:22:03 time: 0.370549 data_time: 0.031566 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.921406 2023/08/08 17:39:32 - mmengine - INFO - Epoch(train) [128][310/529] lr: 5.000000e-04 eta: 4:21:59 time: 0.362215 data_time: 0.031598 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.889567 2023/08/08 17:39:36 - mmengine - INFO - Epoch(train) [128][320/529] lr: 5.000000e-04 eta: 4:21:55 time: 0.354367 data_time: 0.031215 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.873093 2023/08/08 17:39:39 - mmengine - INFO - Epoch(train) [128][330/529] lr: 5.000000e-04 eta: 4:21:52 time: 0.353475 data_time: 0.030767 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.893580 2023/08/08 17:39:43 - mmengine - INFO - Epoch(train) [128][340/529] lr: 5.000000e-04 eta: 4:21:48 time: 0.352724 data_time: 0.030935 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.879611 2023/08/08 17:39:47 - mmengine - INFO - Epoch(train) [128][350/529] lr: 5.000000e-04 eta: 4:21:45 time: 0.355537 data_time: 0.031120 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.899689 2023/08/08 17:39:50 - mmengine - INFO - Epoch(train) [128][360/529] lr: 5.000000e-04 eta: 4:21:41 time: 0.359708 data_time: 0.035357 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.937535 2023/08/08 17:39:54 - mmengine - INFO - Epoch(train) [128][370/529] lr: 5.000000e-04 eta: 4:21:37 time: 0.361905 data_time: 0.035527 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.929446 2023/08/08 17:39:57 - mmengine - INFO - Epoch(train) [128][380/529] lr: 5.000000e-04 eta: 4:21:34 time: 0.361068 data_time: 0.035499 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.884666 2023/08/08 17:40:01 - mmengine - INFO - Epoch(train) [128][390/529] lr: 5.000000e-04 eta: 4:21:30 time: 0.361255 data_time: 0.035492 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.864328 2023/08/08 17:40:05 - mmengine - INFO - Epoch(train) [128][400/529] lr: 5.000000e-04 eta: 4:21:27 time: 0.359704 data_time: 0.035204 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.910118 2023/08/08 17:40:08 - mmengine - INFO - Epoch(train) [128][410/529] lr: 5.000000e-04 eta: 4:21:23 time: 0.358232 data_time: 0.031761 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.812410 2023/08/08 17:40:12 - mmengine - INFO - Epoch(train) [128][420/529] lr: 5.000000e-04 eta: 4:21:19 time: 0.356028 data_time: 0.031711 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.827796 2023/08/08 17:40:15 - mmengine - INFO - Epoch(train) [128][430/529] lr: 5.000000e-04 eta: 4:21:16 time: 0.355807 data_time: 0.031522 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.947741 2023/08/08 17:40:19 - mmengine - INFO - Epoch(train) [128][440/529] lr: 5.000000e-04 eta: 4:21:12 time: 0.354801 data_time: 0.031292 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.798287 2023/08/08 17:40:22 - mmengine - INFO - Epoch(train) [128][450/529] lr: 5.000000e-04 eta: 4:21:08 time: 0.354219 data_time: 0.031789 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.873593 2023/08/08 17:40:26 - mmengine - INFO - Epoch(train) [128][460/529] lr: 5.000000e-04 eta: 4:21:05 time: 0.352673 data_time: 0.031307 memory: 4565 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.855173 2023/08/08 17:40:29 - mmengine - INFO - Epoch(train) [128][470/529] lr: 5.000000e-04 eta: 4:21:01 time: 0.353005 data_time: 0.031384 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.908296 2023/08/08 17:40:33 - mmengine - INFO - Epoch(train) [128][480/529] lr: 5.000000e-04 eta: 4:20:57 time: 0.355553 data_time: 0.031858 memory: 4565 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.899676 2023/08/08 17:40:37 - mmengine - INFO - Epoch(train) [128][490/529] lr: 5.000000e-04 eta: 4:20:54 time: 0.362335 data_time: 0.031812 memory: 4565 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.951681 2023/08/08 17:40:41 - mmengine - INFO - Epoch(train) [128][500/529] lr: 5.000000e-04 eta: 4:20:51 time: 0.369500 data_time: 0.031575 memory: 4565 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.877021 2023/08/08 17:40:45 - mmengine - INFO - Epoch(train) [128][510/529] lr: 5.000000e-04 eta: 4:20:47 time: 0.376919 data_time: 0.031464 memory: 4565 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.911318 2023/08/08 17:40:49 - mmengine - INFO - Epoch(train) [128][520/529] lr: 5.000000e-04 eta: 4:20:44 time: 0.387573 data_time: 0.032121 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.907003 2023/08/08 17:40:52 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:40:56 - mmengine - INFO - Epoch(train) [129][ 10/529] lr: 5.000000e-04 eta: 4:20:37 time: 0.392609 data_time: 0.035389 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.864641 2023/08/08 17:41:00 - mmengine - INFO - Epoch(train) [129][ 20/529] lr: 5.000000e-04 eta: 4:20:34 time: 0.386072 data_time: 0.035216 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.898044 2023/08/08 17:41:03 - mmengine - INFO - Epoch(train) [129][ 30/529] lr: 5.000000e-04 eta: 4:20:30 time: 0.378468 data_time: 0.035507 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.881620 2023/08/08 17:41:07 - mmengine - INFO - Epoch(train) [129][ 40/529] lr: 5.000000e-04 eta: 4:20:26 time: 0.368961 data_time: 0.035396 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.874131 2023/08/08 17:41:10 - mmengine - INFO - Epoch(train) [129][ 50/529] lr: 5.000000e-04 eta: 4:20:23 time: 0.362975 data_time: 0.036591 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.888694 2023/08/08 17:41:14 - mmengine - INFO - Epoch(train) [129][ 60/529] lr: 5.000000e-04 eta: 4:20:19 time: 0.356763 data_time: 0.033108 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.876966 2023/08/08 17:41:18 - mmengine - INFO - Epoch(train) [129][ 70/529] lr: 5.000000e-04 eta: 4:20:16 time: 0.355465 data_time: 0.033699 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.922303 2023/08/08 17:41:21 - mmengine - INFO - Epoch(train) [129][ 80/529] lr: 5.000000e-04 eta: 4:20:12 time: 0.354059 data_time: 0.033502 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.937783 2023/08/08 17:41:25 - mmengine - INFO - Epoch(train) [129][ 90/529] lr: 5.000000e-04 eta: 4:20:08 time: 0.356139 data_time: 0.033032 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.879222 2023/08/08 17:41:28 - mmengine - INFO - Epoch(train) [129][100/529] lr: 5.000000e-04 eta: 4:20:05 time: 0.352956 data_time: 0.032585 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.900780 2023/08/08 17:41:32 - mmengine - INFO - Epoch(train) [129][110/529] lr: 5.000000e-04 eta: 4:20:01 time: 0.351685 data_time: 0.031816 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.927269 2023/08/08 17:41:35 - mmengine - INFO - Epoch(train) [129][120/529] lr: 5.000000e-04 eta: 4:19:57 time: 0.350892 data_time: 0.031441 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.895865 2023/08/08 17:41:39 - mmengine - INFO - Epoch(train) [129][130/529] lr: 5.000000e-04 eta: 4:19:53 time: 0.350246 data_time: 0.031350 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.896785 2023/08/08 17:41:42 - mmengine - INFO - Epoch(train) [129][140/529] lr: 5.000000e-04 eta: 4:19:50 time: 0.346068 data_time: 0.031193 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.901874 2023/08/08 17:41:45 - mmengine - INFO - Epoch(train) [129][150/529] lr: 5.000000e-04 eta: 4:19:46 time: 0.346758 data_time: 0.031261 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.875045 2023/08/08 17:41:49 - mmengine - INFO - Epoch(train) [129][160/529] lr: 5.000000e-04 eta: 4:19:42 time: 0.346742 data_time: 0.031102 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.885034 2023/08/08 17:41:52 - mmengine - INFO - Epoch(train) [129][170/529] lr: 5.000000e-04 eta: 4:19:39 time: 0.345531 data_time: 0.030949 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.916744 2023/08/08 17:41:56 - mmengine - INFO - Epoch(train) [129][180/529] lr: 5.000000e-04 eta: 4:19:35 time: 0.350570 data_time: 0.031466 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.937200 2023/08/08 17:42:00 - mmengine - INFO - Epoch(train) [129][190/529] lr: 5.000000e-04 eta: 4:19:32 time: 0.359726 data_time: 0.031911 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.892661 2023/08/08 17:42:04 - mmengine - INFO - Epoch(train) [129][200/529] lr: 5.000000e-04 eta: 4:19:28 time: 0.361366 data_time: 0.032623 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.884036 2023/08/08 17:42:07 - mmengine - INFO - Epoch(train) [129][210/529] lr: 5.000000e-04 eta: 4:19:24 time: 0.361651 data_time: 0.033553 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.932648 2023/08/08 17:42:11 - mmengine - INFO - Epoch(train) [129][220/529] lr: 5.000000e-04 eta: 4:19:21 time: 0.368635 data_time: 0.034729 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.925054 2023/08/08 17:42:15 - mmengine - INFO - Epoch(train) [129][230/529] lr: 5.000000e-04 eta: 4:19:18 time: 0.377931 data_time: 0.039629 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.850774 2023/08/08 17:42:19 - mmengine - INFO - Epoch(train) [129][240/529] lr: 5.000000e-04 eta: 4:19:14 time: 0.375234 data_time: 0.039761 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.871491 2023/08/08 17:42:23 - mmengine - INFO - Epoch(train) [129][250/529] lr: 5.000000e-04 eta: 4:19:11 time: 0.382306 data_time: 0.039605 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.850334 2023/08/08 17:42:26 - mmengine - INFO - Epoch(train) [129][260/529] lr: 5.000000e-04 eta: 4:19:07 time: 0.383916 data_time: 0.039351 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.840594 2023/08/08 17:42:30 - mmengine - INFO - Epoch(train) [129][270/529] lr: 5.000000e-04 eta: 4:19:03 time: 0.379032 data_time: 0.038359 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.942390 2023/08/08 17:42:33 - mmengine - INFO - Epoch(train) [129][280/529] lr: 5.000000e-04 eta: 4:19:00 time: 0.365894 data_time: 0.033720 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.880319 2023/08/08 17:42:36 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:42:37 - mmengine - INFO - Epoch(train) [129][290/529] lr: 5.000000e-04 eta: 4:18:56 time: 0.358613 data_time: 0.033376 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.859437 2023/08/08 17:42:40 - mmengine - INFO - Epoch(train) [129][300/529] lr: 5.000000e-04 eta: 4:18:52 time: 0.351167 data_time: 0.033281 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.902752 2023/08/08 17:42:44 - mmengine - INFO - Epoch(train) [129][310/529] lr: 5.000000e-04 eta: 4:18:49 time: 0.349331 data_time: 0.032772 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.893368 2023/08/08 17:42:47 - mmengine - INFO - Epoch(train) [129][320/529] lr: 5.000000e-04 eta: 4:18:45 time: 0.348861 data_time: 0.032541 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.870637 2023/08/08 17:42:51 - mmengine - INFO - Epoch(train) [129][330/529] lr: 5.000000e-04 eta: 4:18:42 time: 0.354227 data_time: 0.033097 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.929953 2023/08/08 17:42:55 - mmengine - INFO - Epoch(train) [129][340/529] lr: 5.000000e-04 eta: 4:18:38 time: 0.362217 data_time: 0.033024 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.876767 2023/08/08 17:42:58 - mmengine - INFO - Epoch(train) [129][350/529] lr: 5.000000e-04 eta: 4:18:34 time: 0.361379 data_time: 0.032544 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.864724 2023/08/08 17:43:02 - mmengine - INFO - Epoch(train) [129][360/529] lr: 5.000000e-04 eta: 4:18:31 time: 0.367622 data_time: 0.032423 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.904274 2023/08/08 17:43:06 - mmengine - INFO - Epoch(train) [129][370/529] lr: 5.000000e-04 eta: 4:18:27 time: 0.368285 data_time: 0.032848 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.852757 2023/08/08 17:43:09 - mmengine - INFO - Epoch(train) [129][380/529] lr: 5.000000e-04 eta: 4:18:24 time: 0.368571 data_time: 0.031582 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.891111 2023/08/08 17:43:13 - mmengine - INFO - Epoch(train) [129][390/529] lr: 5.000000e-04 eta: 4:18:20 time: 0.362683 data_time: 0.031707 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.874455 2023/08/08 17:43:16 - mmengine - INFO - Epoch(train) [129][400/529] lr: 5.000000e-04 eta: 4:18:16 time: 0.362061 data_time: 0.031787 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.885069 2023/08/08 17:43:20 - mmengine - INFO - Epoch(train) [129][410/529] lr: 5.000000e-04 eta: 4:18:13 time: 0.355941 data_time: 0.032268 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.841919 2023/08/08 17:43:23 - mmengine - INFO - Epoch(train) [129][420/529] lr: 5.000000e-04 eta: 4:18:09 time: 0.355191 data_time: 0.031755 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.877260 2023/08/08 17:43:27 - mmengine - INFO - Epoch(train) [129][430/529] lr: 5.000000e-04 eta: 4:18:05 time: 0.349763 data_time: 0.031989 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.914021 2023/08/08 17:43:30 - mmengine - INFO - Epoch(train) [129][440/529] lr: 5.000000e-04 eta: 4:18:02 time: 0.348589 data_time: 0.031584 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.886209 2023/08/08 17:43:34 - mmengine - INFO - Epoch(train) [129][450/529] lr: 5.000000e-04 eta: 4:17:58 time: 0.356449 data_time: 0.032200 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.880548 2023/08/08 17:43:38 - mmengine - INFO - Epoch(train) [129][460/529] lr: 5.000000e-04 eta: 4:17:55 time: 0.360519 data_time: 0.031740 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.904124 2023/08/08 17:43:41 - mmengine - INFO - Epoch(train) [129][470/529] lr: 5.000000e-04 eta: 4:17:51 time: 0.359247 data_time: 0.031727 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.925763 2023/08/08 17:43:45 - mmengine - INFO - Epoch(train) [129][480/529] lr: 5.000000e-04 eta: 4:17:47 time: 0.358320 data_time: 0.031295 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.902632 2023/08/08 17:43:48 - mmengine - INFO - Epoch(train) [129][490/529] lr: 5.000000e-04 eta: 4:17:44 time: 0.361503 data_time: 0.035137 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.840668 2023/08/08 17:43:52 - mmengine - INFO - Epoch(train) [129][500/529] lr: 5.000000e-04 eta: 4:17:40 time: 0.357507 data_time: 0.035068 memory: 4565 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.924131 2023/08/08 17:43:56 - mmengine - INFO - Epoch(train) [129][510/529] lr: 5.000000e-04 eta: 4:17:37 time: 0.357335 data_time: 0.035080 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.919318 2023/08/08 17:44:00 - mmengine - INFO - Epoch(train) [129][520/529] lr: 5.000000e-04 eta: 4:17:33 time: 0.366905 data_time: 0.035664 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.900672 2023/08/08 17:44:03 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:44:07 - mmengine - INFO - Epoch(train) [130][ 10/529] lr: 5.000000e-04 eta: 4:17:26 time: 0.373755 data_time: 0.036559 memory: 4565 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.887209 2023/08/08 17:44:10 - mmengine - INFO - Epoch(train) [130][ 20/529] lr: 5.000000e-04 eta: 4:17:23 time: 0.369599 data_time: 0.035790 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.950297 2023/08/08 17:44:14 - mmengine - INFO - Epoch(train) [130][ 30/529] lr: 5.000000e-04 eta: 4:17:19 time: 0.369649 data_time: 0.035957 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.920871 2023/08/08 17:44:18 - mmengine - INFO - Epoch(train) [130][ 40/529] lr: 5.000000e-04 eta: 4:17:16 time: 0.368834 data_time: 0.036055 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.844268 2023/08/08 17:44:22 - mmengine - INFO - Epoch(train) [130][ 50/529] lr: 5.000000e-04 eta: 4:17:12 time: 0.365951 data_time: 0.035067 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.921517 2023/08/08 17:44:25 - mmengine - INFO - Epoch(train) [130][ 60/529] lr: 5.000000e-04 eta: 4:17:09 time: 0.367729 data_time: 0.031888 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.867388 2023/08/08 17:44:29 - mmengine - INFO - Epoch(train) [130][ 70/529] lr: 5.000000e-04 eta: 4:17:05 time: 0.367740 data_time: 0.031841 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.903573 2023/08/08 17:44:32 - mmengine - INFO - Epoch(train) [130][ 80/529] lr: 5.000000e-04 eta: 4:17:01 time: 0.364011 data_time: 0.031537 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.929102 2023/08/08 17:44:36 - mmengine - INFO - Epoch(train) [130][ 90/529] lr: 5.000000e-04 eta: 4:16:58 time: 0.356959 data_time: 0.031380 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.887195 2023/08/08 17:44:39 - mmengine - INFO - Epoch(train) [130][100/529] lr: 5.000000e-04 eta: 4:16:54 time: 0.353624 data_time: 0.031681 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.863319 2023/08/08 17:44:43 - mmengine - INFO - Epoch(train) [130][110/529] lr: 5.000000e-04 eta: 4:16:50 time: 0.354861 data_time: 0.035264 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.879261 2023/08/08 17:44:47 - mmengine - INFO - Epoch(train) [130][120/529] lr: 5.000000e-04 eta: 4:16:47 time: 0.355573 data_time: 0.036242 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.931677 2023/08/08 17:44:51 - mmengine - INFO - Epoch(train) [130][130/529] lr: 5.000000e-04 eta: 4:16:43 time: 0.366618 data_time: 0.036884 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.941493 2023/08/08 17:44:55 - mmengine - INFO - Epoch(train) [130][140/529] lr: 5.000000e-04 eta: 4:16:40 time: 0.378341 data_time: 0.036959 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.894434 2023/08/08 17:44:59 - mmengine - INFO - Epoch(train) [130][150/529] lr: 5.000000e-04 eta: 4:16:37 time: 0.385172 data_time: 0.036928 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.870262 2023/08/08 17:45:02 - mmengine - INFO - Epoch(train) [130][160/529] lr: 5.000000e-04 eta: 4:16:33 time: 0.378647 data_time: 0.033544 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.878984 2023/08/08 17:45:05 - mmengine - INFO - Epoch(train) [130][170/529] lr: 5.000000e-04 eta: 4:16:29 time: 0.378823 data_time: 0.032876 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.898456 2023/08/08 17:45:09 - mmengine - INFO - Epoch(train) [130][180/529] lr: 5.000000e-04 eta: 4:16:26 time: 0.368084 data_time: 0.032263 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.902047 2023/08/08 17:45:12 - mmengine - INFO - Epoch(train) [130][190/529] lr: 5.000000e-04 eta: 4:16:22 time: 0.355340 data_time: 0.031977 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.942044 2023/08/08 17:45:16 - mmengine - INFO - Epoch(train) [130][200/529] lr: 5.000000e-04 eta: 4:16:18 time: 0.345817 data_time: 0.031495 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.950947 2023/08/08 17:45:19 - mmengine - INFO - Epoch(train) [130][210/529] lr: 5.000000e-04 eta: 4:16:15 time: 0.345227 data_time: 0.030894 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.864176 2023/08/08 17:45:23 - mmengine - INFO - Epoch(train) [130][220/529] lr: 5.000000e-04 eta: 4:16:11 time: 0.347568 data_time: 0.031541 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.896801 2023/08/08 17:45:26 - mmengine - INFO - Epoch(train) [130][230/529] lr: 5.000000e-04 eta: 4:16:07 time: 0.348639 data_time: 0.031725 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.921660 2023/08/08 17:45:30 - mmengine - INFO - Epoch(train) [130][240/529] lr: 5.000000e-04 eta: 4:16:04 time: 0.352280 data_time: 0.032273 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.909884 2023/08/08 17:45:34 - mmengine - INFO - Epoch(train) [130][250/529] lr: 5.000000e-04 eta: 4:16:00 time: 0.360717 data_time: 0.032915 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.923840 2023/08/08 17:45:38 - mmengine - INFO - Epoch(train) [130][260/529] lr: 5.000000e-04 eta: 4:15:57 time: 0.369092 data_time: 0.033636 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.933908 2023/08/08 17:45:42 - mmengine - INFO - Epoch(train) [130][270/529] lr: 5.000000e-04 eta: 4:15:53 time: 0.378570 data_time: 0.032862 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.786845 2023/08/08 17:45:46 - mmengine - INFO - Epoch(train) [130][280/529] lr: 5.000000e-04 eta: 4:15:50 time: 0.384603 data_time: 0.032802 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.888243 2023/08/08 17:45:49 - mmengine - INFO - Epoch(train) [130][290/529] lr: 5.000000e-04 eta: 4:15:46 time: 0.381710 data_time: 0.032270 memory: 4565 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.912641 2023/08/08 17:45:53 - mmengine - INFO - Epoch(train) [130][300/529] lr: 5.000000e-04 eta: 4:15:43 time: 0.377767 data_time: 0.032000 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.873003 2023/08/08 17:45:56 - mmengine - INFO - Epoch(train) [130][310/529] lr: 5.000000e-04 eta: 4:15:39 time: 0.373866 data_time: 0.035201 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.900699 2023/08/08 17:46:00 - mmengine - INFO - Epoch(train) [130][320/529] lr: 5.000000e-04 eta: 4:15:35 time: 0.361953 data_time: 0.035854 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.890995 2023/08/08 17:46:03 - mmengine - INFO - Epoch(train) [130][330/529] lr: 5.000000e-04 eta: 4:15:32 time: 0.354501 data_time: 0.036160 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.890665 2023/08/08 17:46:07 - mmengine - INFO - Epoch(train) [130][340/529] lr: 5.000000e-04 eta: 4:15:28 time: 0.355326 data_time: 0.036525 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.868277 2023/08/08 17:46:10 - mmengine - INFO - Epoch(train) [130][350/529] lr: 5.000000e-04 eta: 4:15:24 time: 0.351900 data_time: 0.036975 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.904722 2023/08/08 17:46:14 - mmengine - INFO - Epoch(train) [130][360/529] lr: 5.000000e-04 eta: 4:15:21 time: 0.350749 data_time: 0.033763 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.914827 2023/08/08 17:46:18 - mmengine - INFO - Epoch(train) [130][370/529] lr: 5.000000e-04 eta: 4:15:17 time: 0.352103 data_time: 0.033530 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.910061 2023/08/08 17:46:21 - mmengine - INFO - Epoch(train) [130][380/529] lr: 5.000000e-04 eta: 4:15:13 time: 0.353447 data_time: 0.033118 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.880706 2023/08/08 17:46:25 - mmengine - INFO - Epoch(train) [130][390/529] lr: 5.000000e-04 eta: 4:15:10 time: 0.353494 data_time: 0.032750 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.935179 2023/08/08 17:46:28 - mmengine - INFO - Epoch(train) [130][400/529] lr: 5.000000e-04 eta: 4:15:06 time: 0.354647 data_time: 0.032060 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.915434 2023/08/08 17:46:32 - mmengine - INFO - Epoch(train) [130][410/529] lr: 5.000000e-04 eta: 4:15:03 time: 0.359350 data_time: 0.031559 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.914812 2023/08/08 17:46:36 - mmengine - INFO - Epoch(train) [130][420/529] lr: 5.000000e-04 eta: 4:14:59 time: 0.359576 data_time: 0.031699 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.913347 2023/08/08 17:46:39 - mmengine - INFO - Epoch(train) [130][430/529] lr: 5.000000e-04 eta: 4:14:55 time: 0.360800 data_time: 0.031869 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.904702 2023/08/08 17:46:43 - mmengine - INFO - Epoch(train) [130][440/529] lr: 5.000000e-04 eta: 4:14:52 time: 0.360986 data_time: 0.031947 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.912758 2023/08/08 17:46:46 - mmengine - INFO - Epoch(train) [130][450/529] lr: 5.000000e-04 eta: 4:14:48 time: 0.360305 data_time: 0.032262 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.903247 2023/08/08 17:46:50 - mmengine - INFO - Epoch(train) [130][460/529] lr: 5.000000e-04 eta: 4:14:44 time: 0.354008 data_time: 0.032243 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.860937 2023/08/08 17:46:53 - mmengine - INFO - Epoch(train) [130][470/529] lr: 5.000000e-04 eta: 4:14:41 time: 0.353920 data_time: 0.031778 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.927616 2023/08/08 17:46:57 - mmengine - INFO - Epoch(train) [130][480/529] lr: 5.000000e-04 eta: 4:14:37 time: 0.356145 data_time: 0.031843 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.899509 2023/08/08 17:47:01 - mmengine - INFO - Epoch(train) [130][490/529] lr: 5.000000e-04 eta: 4:14:34 time: 0.361625 data_time: 0.032222 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.939573 2023/08/08 17:47:04 - mmengine - INFO - Epoch(train) [130][500/529] lr: 5.000000e-04 eta: 4:14:30 time: 0.362154 data_time: 0.031757 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.945076 2023/08/08 17:47:08 - mmengine - INFO - Epoch(train) [130][510/529] lr: 5.000000e-04 eta: 4:14:27 time: 0.362029 data_time: 0.031595 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.935008 2023/08/08 17:47:11 - mmengine - INFO - Epoch(train) [130][520/529] lr: 5.000000e-04 eta: 4:14:23 time: 0.360329 data_time: 0.031545 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.892133 2023/08/08 17:47:14 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:47:14 - mmengine - INFO - Saving checkpoint at 130 epochs 2023/08/08 17:47:20 - mmengine - INFO - Epoch(val) [130][ 10/127] eta: 0:00:24 time: 0.197378 data_time: 0.012771 memory: 4565 2023/08/08 17:47:22 - mmengine - INFO - Epoch(val) [130][ 20/127] eta: 0:00:21 time: 0.197513 data_time: 0.012821 memory: 1634 2023/08/08 17:47:24 - mmengine - INFO - Epoch(val) [130][ 30/127] eta: 0:00:19 time: 0.198040 data_time: 0.013283 memory: 1634 2023/08/08 17:47:26 - mmengine - INFO - Epoch(val) [130][ 40/127] eta: 0:00:17 time: 0.198347 data_time: 0.013614 memory: 1634 2023/08/08 17:47:28 - mmengine - INFO - Epoch(val) [130][ 50/127] eta: 0:00:15 time: 0.200615 data_time: 0.014077 memory: 1634 2023/08/08 17:47:30 - mmengine - INFO - Epoch(val) [130][ 60/127] eta: 0:00:13 time: 0.199537 data_time: 0.012672 memory: 1634 2023/08/08 17:47:32 - mmengine - INFO - Epoch(val) [130][ 70/127] eta: 0:00:11 time: 0.200289 data_time: 0.013318 memory: 1634 2023/08/08 17:47:34 - mmengine - INFO - Epoch(val) [130][ 80/127] eta: 0:00:09 time: 0.200626 data_time: 0.013644 memory: 1634 2023/08/08 17:47:36 - mmengine - INFO - Epoch(val) [130][ 90/127] eta: 0:00:07 time: 0.200154 data_time: 0.013247 memory: 1634 2023/08/08 17:47:38 - mmengine - INFO - Epoch(val) [130][100/127] eta: 0:00:05 time: 0.200134 data_time: 0.012989 memory: 1634 2023/08/08 17:47:40 - mmengine - INFO - Epoch(val) [130][110/127] eta: 0:00:03 time: 0.199650 data_time: 0.012618 memory: 1634 2023/08/08 17:47:42 - mmengine - INFO - Epoch(val) [130][120/127] eta: 0:00:01 time: 0.199275 data_time: 0.011937 memory: 1634 2023/08/08 17:47:44 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 17:47:44 - mmengine - INFO - Evaluating AUC... 2023/08/08 17:47:44 - mmengine - INFO - Evaluating EPE... 2023/08/08 17:47:44 - mmengine - INFO - Epoch(val) [130][127/127] PCK: 0.982107 AUC: 0.672901 EPE: 11.808878 data_time: 0.013004 time: 0.198957 2023/08/08 17:47:48 - mmengine - INFO - Epoch(train) [131][ 10/529] lr: 5.000000e-04 eta: 4:14:16 time: 0.364115 data_time: 0.035992 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.926490 2023/08/08 17:47:52 - mmengine - INFO - Epoch(train) [131][ 20/529] lr: 5.000000e-04 eta: 4:14:13 time: 0.370400 data_time: 0.037033 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.908233 2023/08/08 17:47:56 - mmengine - INFO - Epoch(train) [131][ 30/529] lr: 5.000000e-04 eta: 4:14:09 time: 0.371100 data_time: 0.036979 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.865536 2023/08/08 17:47:59 - mmengine - INFO - Epoch(train) [131][ 40/529] lr: 5.000000e-04 eta: 4:14:06 time: 0.372694 data_time: 0.037387 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.882629 2023/08/08 17:48:03 - mmengine - INFO - Epoch(train) [131][ 50/529] lr: 5.000000e-04 eta: 4:14:02 time: 0.375041 data_time: 0.037694 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.893253 2023/08/08 17:48:07 - mmengine - INFO - Epoch(train) [131][ 60/529] lr: 5.000000e-04 eta: 4:13:58 time: 0.361881 data_time: 0.032495 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.942122 2023/08/08 17:48:10 - mmengine - INFO - Epoch(train) [131][ 70/529] lr: 5.000000e-04 eta: 4:13:55 time: 0.358253 data_time: 0.031832 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.929703 2023/08/08 17:48:14 - mmengine - INFO - Epoch(train) [131][ 80/529] lr: 5.000000e-04 eta: 4:13:51 time: 0.358526 data_time: 0.031998 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.910413 2023/08/08 17:48:17 - mmengine - INFO - Epoch(train) [131][ 90/529] lr: 5.000000e-04 eta: 4:13:47 time: 0.358748 data_time: 0.031929 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.911370 2023/08/08 17:48:21 - mmengine - INFO - Epoch(train) [131][100/529] lr: 5.000000e-04 eta: 4:13:44 time: 0.357792 data_time: 0.031847 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.923853 2023/08/08 17:48:25 - mmengine - INFO - Epoch(train) [131][110/529] lr: 5.000000e-04 eta: 4:13:40 time: 0.360693 data_time: 0.031856 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.902259 2023/08/08 17:48:28 - mmengine - INFO - Epoch(train) [131][120/529] lr: 5.000000e-04 eta: 4:13:37 time: 0.357467 data_time: 0.031324 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.921074 2023/08/08 17:48:32 - mmengine - INFO - Epoch(train) [131][130/529] lr: 5.000000e-04 eta: 4:13:33 time: 0.358699 data_time: 0.031720 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.863673 2023/08/08 17:48:35 - mmengine - INFO - Epoch(train) [131][140/529] lr: 5.000000e-04 eta: 4:13:29 time: 0.358804 data_time: 0.031740 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.869539 2023/08/08 17:48:39 - mmengine - INFO - Epoch(train) [131][150/529] lr: 5.000000e-04 eta: 4:13:26 time: 0.361766 data_time: 0.035387 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.929578 2023/08/08 17:48:43 - mmengine - INFO - Epoch(train) [131][160/529] lr: 5.000000e-04 eta: 4:13:22 time: 0.357394 data_time: 0.035260 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.894891 2023/08/08 17:48:46 - mmengine - INFO - Epoch(train) [131][170/529] lr: 5.000000e-04 eta: 4:13:18 time: 0.356601 data_time: 0.035305 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.910620 2023/08/08 17:48:50 - mmengine - INFO - Epoch(train) [131][180/529] lr: 5.000000e-04 eta: 4:13:15 time: 0.355463 data_time: 0.034876 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.895683 2023/08/08 17:48:53 - mmengine - INFO - Epoch(train) [131][190/529] lr: 5.000000e-04 eta: 4:13:11 time: 0.354293 data_time: 0.034541 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.910337 2023/08/08 17:48:57 - mmengine - INFO - Epoch(train) [131][200/529] lr: 5.000000e-04 eta: 4:13:08 time: 0.352955 data_time: 0.031158 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.923080 2023/08/08 17:49:00 - mmengine - INFO - Epoch(train) [131][210/529] lr: 5.000000e-04 eta: 4:13:04 time: 0.354160 data_time: 0.031131 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.894984 2023/08/08 17:49:04 - mmengine - INFO - Epoch(train) [131][220/529] lr: 5.000000e-04 eta: 4:13:00 time: 0.355096 data_time: 0.031221 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.895539 2023/08/08 17:49:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:49:07 - mmengine - INFO - Epoch(train) [131][230/529] lr: 5.000000e-04 eta: 4:12:57 time: 0.354636 data_time: 0.031173 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.940179 2023/08/08 17:49:11 - mmengine - INFO - Epoch(train) [131][240/529] lr: 5.000000e-04 eta: 4:12:53 time: 0.355341 data_time: 0.031435 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.916285 2023/08/08 17:49:14 - mmengine - INFO - Epoch(train) [131][250/529] lr: 5.000000e-04 eta: 4:12:49 time: 0.354418 data_time: 0.031328 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.873014 2023/08/08 17:49:18 - mmengine - INFO - Epoch(train) [131][260/529] lr: 5.000000e-04 eta: 4:12:46 time: 0.354892 data_time: 0.031759 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.914941 2023/08/08 17:49:22 - mmengine - INFO - Epoch(train) [131][270/529] lr: 5.000000e-04 eta: 4:12:42 time: 0.361833 data_time: 0.032230 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.930448 2023/08/08 17:49:25 - mmengine - INFO - Epoch(train) [131][280/529] lr: 5.000000e-04 eta: 4:12:39 time: 0.361535 data_time: 0.032536 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.896283 2023/08/08 17:49:29 - mmengine - INFO - Epoch(train) [131][290/529] lr: 5.000000e-04 eta: 4:12:35 time: 0.360425 data_time: 0.032331 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.910078 2023/08/08 17:49:32 - mmengine - INFO - Epoch(train) [131][300/529] lr: 5.000000e-04 eta: 4:12:31 time: 0.360469 data_time: 0.032615 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.880914 2023/08/08 17:49:36 - mmengine - INFO - Epoch(train) [131][310/529] lr: 5.000000e-04 eta: 4:12:28 time: 0.360977 data_time: 0.033221 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.876101 2023/08/08 17:49:40 - mmengine - INFO - Epoch(train) [131][320/529] lr: 5.000000e-04 eta: 4:12:24 time: 0.354685 data_time: 0.033546 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.877162 2023/08/08 17:49:43 - mmengine - INFO - Epoch(train) [131][330/529] lr: 5.000000e-04 eta: 4:12:20 time: 0.355113 data_time: 0.033277 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.882011 2023/08/08 17:49:47 - mmengine - INFO - Epoch(train) [131][340/529] lr: 5.000000e-04 eta: 4:12:17 time: 0.356212 data_time: 0.033088 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.920275 2023/08/08 17:49:50 - mmengine - INFO - Epoch(train) [131][350/529] lr: 5.000000e-04 eta: 4:12:13 time: 0.358035 data_time: 0.036372 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.879507 2023/08/08 17:49:54 - mmengine - INFO - Epoch(train) [131][360/529] lr: 5.000000e-04 eta: 4:12:10 time: 0.357891 data_time: 0.035449 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.930226 2023/08/08 17:49:58 - mmengine - INFO - Epoch(train) [131][370/529] lr: 5.000000e-04 eta: 4:12:06 time: 0.357954 data_time: 0.035068 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.900734 2023/08/08 17:50:01 - mmengine - INFO - Epoch(train) [131][380/529] lr: 5.000000e-04 eta: 4:12:02 time: 0.358368 data_time: 0.035759 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.938035 2023/08/08 17:50:05 - mmengine - INFO - Epoch(train) [131][390/529] lr: 5.000000e-04 eta: 4:11:59 time: 0.358962 data_time: 0.036273 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.940856 2023/08/08 17:50:08 - mmengine - INFO - Epoch(train) [131][400/529] lr: 5.000000e-04 eta: 4:11:55 time: 0.355777 data_time: 0.032495 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.900337 2023/08/08 17:50:12 - mmengine - INFO - Epoch(train) [131][410/529] lr: 5.000000e-04 eta: 4:11:51 time: 0.353761 data_time: 0.032409 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.912057 2023/08/08 17:50:15 - mmengine - INFO - Epoch(train) [131][420/529] lr: 5.000000e-04 eta: 4:11:48 time: 0.354838 data_time: 0.031831 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.917990 2023/08/08 17:50:19 - mmengine - INFO - Epoch(train) [131][430/529] lr: 5.000000e-04 eta: 4:11:44 time: 0.354045 data_time: 0.031157 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.873201 2023/08/08 17:50:22 - mmengine - INFO - Epoch(train) [131][440/529] lr: 5.000000e-04 eta: 4:11:40 time: 0.353444 data_time: 0.030961 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.834316 2023/08/08 17:50:26 - mmengine - INFO - Epoch(train) [131][450/529] lr: 5.000000e-04 eta: 4:11:37 time: 0.355019 data_time: 0.031379 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.948423 2023/08/08 17:50:30 - mmengine - INFO - Epoch(train) [131][460/529] lr: 5.000000e-04 eta: 4:11:33 time: 0.356802 data_time: 0.031693 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.879497 2023/08/08 17:50:33 - mmengine - INFO - Epoch(train) [131][470/529] lr: 5.000000e-04 eta: 4:11:29 time: 0.353837 data_time: 0.031762 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.919897 2023/08/08 17:50:37 - mmengine - INFO - Epoch(train) [131][480/529] lr: 5.000000e-04 eta: 4:11:26 time: 0.353799 data_time: 0.031841 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.863612 2023/08/08 17:50:40 - mmengine - INFO - Epoch(train) [131][490/529] lr: 5.000000e-04 eta: 4:11:22 time: 0.353550 data_time: 0.032021 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.879824 2023/08/08 17:50:44 - mmengine - INFO - Epoch(train) [131][500/529] lr: 5.000000e-04 eta: 4:11:19 time: 0.353811 data_time: 0.032429 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.885891 2023/08/08 17:50:47 - mmengine - INFO - Epoch(train) [131][510/529] lr: 5.000000e-04 eta: 4:11:15 time: 0.354032 data_time: 0.032376 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.844339 2023/08/08 17:50:51 - mmengine - INFO - Epoch(train) [131][520/529] lr: 5.000000e-04 eta: 4:11:11 time: 0.356515 data_time: 0.032907 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.900670 2023/08/08 17:50:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:50:58 - mmengine - INFO - Epoch(train) [132][ 10/529] lr: 5.000000e-04 eta: 4:11:05 time: 0.360136 data_time: 0.038369 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.912382 2023/08/08 17:51:01 - mmengine - INFO - Epoch(train) [132][ 20/529] lr: 5.000000e-04 eta: 4:11:01 time: 0.358794 data_time: 0.037361 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.904924 2023/08/08 17:51:05 - mmengine - INFO - Epoch(train) [132][ 30/529] lr: 5.000000e-04 eta: 4:10:57 time: 0.362967 data_time: 0.040844 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.923505 2023/08/08 17:51:09 - mmengine - INFO - Epoch(train) [132][ 40/529] lr: 5.000000e-04 eta: 4:10:54 time: 0.360842 data_time: 0.040641 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.948886 2023/08/08 17:51:12 - mmengine - INFO - Epoch(train) [132][ 50/529] lr: 5.000000e-04 eta: 4:10:50 time: 0.367446 data_time: 0.040961 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.919996 2023/08/08 17:51:16 - mmengine - INFO - Epoch(train) [132][ 60/529] lr: 5.000000e-04 eta: 4:10:47 time: 0.365882 data_time: 0.039626 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.895842 2023/08/08 17:51:20 - mmengine - INFO - Epoch(train) [132][ 70/529] lr: 5.000000e-04 eta: 4:10:43 time: 0.367799 data_time: 0.040189 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.900608 2023/08/08 17:51:24 - mmengine - INFO - Epoch(train) [132][ 80/529] lr: 5.000000e-04 eta: 4:10:40 time: 0.370830 data_time: 0.036390 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.903969 2023/08/08 17:51:28 - mmengine - INFO - Epoch(train) [132][ 90/529] lr: 5.000000e-04 eta: 4:10:36 time: 0.380028 data_time: 0.036314 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.826987 2023/08/08 17:51:31 - mmengine - INFO - Epoch(train) [132][100/529] lr: 5.000000e-04 eta: 4:10:33 time: 0.383278 data_time: 0.035381 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.889483 2023/08/08 17:51:35 - mmengine - INFO - Epoch(train) [132][110/529] lr: 5.000000e-04 eta: 4:10:29 time: 0.381242 data_time: 0.031443 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.905151 2023/08/08 17:51:39 - mmengine - INFO - Epoch(train) [132][120/529] lr: 5.000000e-04 eta: 4:10:26 time: 0.380425 data_time: 0.031100 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.883060 2023/08/08 17:51:42 - mmengine - INFO - Epoch(train) [132][130/529] lr: 5.000000e-04 eta: 4:10:22 time: 0.374404 data_time: 0.031140 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.920464 2023/08/08 17:51:46 - mmengine - INFO - Epoch(train) [132][140/529] lr: 5.000000e-04 eta: 4:10:18 time: 0.366135 data_time: 0.031355 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.898012 2023/08/08 17:51:50 - mmengine - INFO - Epoch(train) [132][150/529] lr: 5.000000e-04 eta: 4:10:15 time: 0.360889 data_time: 0.031680 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.944741 2023/08/08 17:51:53 - mmengine - INFO - Epoch(train) [132][160/529] lr: 5.000000e-04 eta: 4:10:11 time: 0.361344 data_time: 0.031637 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.923684 2023/08/08 17:51:57 - mmengine - INFO - Epoch(train) [132][170/529] lr: 5.000000e-04 eta: 4:10:08 time: 0.361623 data_time: 0.031618 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.927562 2023/08/08 17:52:00 - mmengine - INFO - Epoch(train) [132][180/529] lr: 5.000000e-04 eta: 4:10:04 time: 0.360947 data_time: 0.031831 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.922096 2023/08/08 17:52:04 - mmengine - INFO - Epoch(train) [132][190/529] lr: 5.000000e-04 eta: 4:10:00 time: 0.363022 data_time: 0.031837 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.903634 2023/08/08 17:52:08 - mmengine - INFO - Epoch(train) [132][200/529] lr: 5.000000e-04 eta: 4:09:57 time: 0.360628 data_time: 0.031582 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.910434 2023/08/08 17:52:11 - mmengine - INFO - Epoch(train) [132][210/529] lr: 5.000000e-04 eta: 4:09:53 time: 0.357751 data_time: 0.031487 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.932712 2023/08/08 17:52:15 - mmengine - INFO - Epoch(train) [132][220/529] lr: 5.000000e-04 eta: 4:09:50 time: 0.359135 data_time: 0.031456 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.888578 2023/08/08 17:52:18 - mmengine - INFO - Epoch(train) [132][230/529] lr: 5.000000e-04 eta: 4:09:46 time: 0.361619 data_time: 0.034825 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.905821 2023/08/08 17:52:22 - mmengine - INFO - Epoch(train) [132][240/529] lr: 5.000000e-04 eta: 4:09:42 time: 0.360359 data_time: 0.034820 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.838677 2023/08/08 17:52:26 - mmengine - INFO - Epoch(train) [132][250/529] lr: 5.000000e-04 eta: 4:09:39 time: 0.359741 data_time: 0.034633 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.925281 2023/08/08 17:52:29 - mmengine - INFO - Epoch(train) [132][260/529] lr: 5.000000e-04 eta: 4:09:35 time: 0.359466 data_time: 0.034614 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.898749 2023/08/08 17:52:33 - mmengine - INFO - Epoch(train) [132][270/529] lr: 5.000000e-04 eta: 4:09:31 time: 0.356516 data_time: 0.034534 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.931687 2023/08/08 17:52:36 - mmengine - INFO - Epoch(train) [132][280/529] lr: 5.000000e-04 eta: 4:09:28 time: 0.353791 data_time: 0.031152 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.866822 2023/08/08 17:52:40 - mmengine - INFO - Epoch(train) [132][290/529] lr: 5.000000e-04 eta: 4:09:24 time: 0.353251 data_time: 0.031194 memory: 4565 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.865076 2023/08/08 17:52:43 - mmengine - INFO - Epoch(train) [132][300/529] lr: 5.000000e-04 eta: 4:09:21 time: 0.355160 data_time: 0.031245 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.875813 2023/08/08 17:52:47 - mmengine - INFO - Epoch(train) [132][310/529] lr: 5.000000e-04 eta: 4:09:17 time: 0.357991 data_time: 0.031398 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.879545 2023/08/08 17:52:51 - mmengine - INFO - Epoch(train) [132][320/529] lr: 5.000000e-04 eta: 4:09:13 time: 0.359988 data_time: 0.031796 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.917682 2023/08/08 17:52:54 - mmengine - INFO - Epoch(train) [132][330/529] lr: 5.000000e-04 eta: 4:09:10 time: 0.360973 data_time: 0.032078 memory: 4565 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.898907 2023/08/08 17:52:58 - mmengine - INFO - Epoch(train) [132][340/529] lr: 5.000000e-04 eta: 4:09:06 time: 0.361047 data_time: 0.031872 memory: 4565 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.885562 2023/08/08 17:53:01 - mmengine - INFO - Epoch(train) [132][350/529] lr: 5.000000e-04 eta: 4:09:03 time: 0.362297 data_time: 0.031959 memory: 4565 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.905704 2023/08/08 17:53:05 - mmengine - INFO - Epoch(train) [132][360/529] lr: 5.000000e-04 eta: 4:08:59 time: 0.361500 data_time: 0.032462 memory: 4565 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.880075 2023/08/08 17:53:09 - mmengine - INFO - Epoch(train) [132][370/529] lr: 5.000000e-04 eta: 4:08:55 time: 0.360354 data_time: 0.032807 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.921248 2023/08/08 17:53:12 - mmengine - INFO - Epoch(train) [132][380/529] lr: 5.000000e-04 eta: 4:08:52 time: 0.358134 data_time: 0.032417 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.906894 2023/08/08 17:53:16 - mmengine - INFO - Epoch(train) [132][390/529] lr: 5.000000e-04 eta: 4:08:48 time: 0.356900 data_time: 0.032604 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.872456 2023/08/08 17:53:19 - mmengine - INFO - Epoch(train) [132][400/529] lr: 5.000000e-04 eta: 4:08:44 time: 0.356898 data_time: 0.032481 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.882922 2023/08/08 17:53:23 - mmengine - INFO - Epoch(train) [132][410/529] lr: 5.000000e-04 eta: 4:08:41 time: 0.356518 data_time: 0.032203 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.892860 2023/08/08 17:53:27 - mmengine - INFO - Epoch(train) [132][420/529] lr: 5.000000e-04 eta: 4:08:37 time: 0.358310 data_time: 0.032365 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.875071 2023/08/08 17:53:31 - mmengine - INFO - Epoch(train) [132][430/529] lr: 5.000000e-04 eta: 4:08:34 time: 0.367973 data_time: 0.036738 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.883994 2023/08/08 17:53:34 - mmengine - INFO - Epoch(train) [132][440/529] lr: 5.000000e-04 eta: 4:08:30 time: 0.373034 data_time: 0.036356 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.911901 2023/08/08 17:53:38 - mmengine - INFO - Epoch(train) [132][450/529] lr: 5.000000e-04 eta: 4:08:27 time: 0.375058 data_time: 0.036799 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.950036 2023/08/08 17:53:42 - mmengine - INFO - Epoch(train) [132][460/529] lr: 5.000000e-04 eta: 4:08:23 time: 0.374856 data_time: 0.036373 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.942602 2023/08/08 17:53:45 - mmengine - INFO - Epoch(train) [132][470/529] lr: 5.000000e-04 eta: 4:08:20 time: 0.374218 data_time: 0.035663 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.940010 2023/08/08 17:53:49 - mmengine - INFO - Epoch(train) [132][480/529] lr: 5.000000e-04 eta: 4:08:16 time: 0.372444 data_time: 0.031444 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.912519 2023/08/08 17:53:53 - mmengine - INFO - Epoch(train) [132][490/529] lr: 5.000000e-04 eta: 4:08:13 time: 0.371944 data_time: 0.031739 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.951218 2023/08/08 17:53:56 - mmengine - INFO - Epoch(train) [132][500/529] lr: 5.000000e-04 eta: 4:08:09 time: 0.367483 data_time: 0.031736 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.882536 2023/08/08 17:54:00 - mmengine - INFO - Epoch(train) [132][510/529] lr: 5.000000e-04 eta: 4:08:05 time: 0.370351 data_time: 0.031771 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.923383 2023/08/08 17:54:04 - mmengine - INFO - Epoch(train) [132][520/529] lr: 5.000000e-04 eta: 4:08:02 time: 0.376149 data_time: 0.032009 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.902270 2023/08/08 17:54:08 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:54:11 - mmengine - INFO - Epoch(train) [133][ 10/529] lr: 5.000000e-04 eta: 4:07:55 time: 0.374669 data_time: 0.035195 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.896178 2023/08/08 17:54:15 - mmengine - INFO - Epoch(train) [133][ 20/529] lr: 5.000000e-04 eta: 4:07:52 time: 0.374408 data_time: 0.035156 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.907158 2023/08/08 17:54:18 - mmengine - INFO - Epoch(train) [133][ 30/529] lr: 5.000000e-04 eta: 4:07:48 time: 0.370923 data_time: 0.035325 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.855548 2023/08/08 17:54:22 - mmengine - INFO - Epoch(train) [133][ 40/529] lr: 5.000000e-04 eta: 4:07:44 time: 0.361404 data_time: 0.034932 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.941935 2023/08/08 17:54:25 - mmengine - INFO - Epoch(train) [133][ 50/529] lr: 5.000000e-04 eta: 4:07:41 time: 0.355728 data_time: 0.035663 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.888149 2023/08/08 17:54:29 - mmengine - INFO - Epoch(train) [133][ 60/529] lr: 5.000000e-04 eta: 4:07:37 time: 0.350194 data_time: 0.031348 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.898419 2023/08/08 17:54:32 - mmengine - INFO - Epoch(train) [133][ 70/529] lr: 5.000000e-04 eta: 4:07:33 time: 0.350502 data_time: 0.031275 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.916334 2023/08/08 17:54:36 - mmengine - INFO - Epoch(train) [133][ 80/529] lr: 5.000000e-04 eta: 4:07:30 time: 0.351113 data_time: 0.031372 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.921411 2023/08/08 17:54:39 - mmengine - INFO - Epoch(train) [133][ 90/529] lr: 5.000000e-04 eta: 4:07:26 time: 0.353245 data_time: 0.031408 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.908718 2023/08/08 17:54:43 - mmengine - INFO - Epoch(train) [133][100/529] lr: 5.000000e-04 eta: 4:07:22 time: 0.350358 data_time: 0.031371 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.885152 2023/08/08 17:54:46 - mmengine - INFO - Epoch(train) [133][110/529] lr: 5.000000e-04 eta: 4:07:19 time: 0.349552 data_time: 0.031241 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.900093 2023/08/08 17:54:50 - mmengine - INFO - Epoch(train) [133][120/529] lr: 5.000000e-04 eta: 4:07:15 time: 0.350802 data_time: 0.034410 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.873972 2023/08/08 17:54:54 - mmengine - INFO - Epoch(train) [133][130/529] lr: 5.000000e-04 eta: 4:07:11 time: 0.352046 data_time: 0.034843 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.914210 2023/08/08 17:54:57 - mmengine - INFO - Epoch(train) [133][140/529] lr: 5.000000e-04 eta: 4:07:08 time: 0.351223 data_time: 0.035132 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.861167 2023/08/08 17:55:01 - mmengine - INFO - Epoch(train) [133][150/529] lr: 5.000000e-04 eta: 4:07:04 time: 0.352304 data_time: 0.036108 memory: 4565 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.908799 2023/08/08 17:55:04 - mmengine - INFO - Epoch(train) [133][160/529] lr: 5.000000e-04 eta: 4:07:00 time: 0.353372 data_time: 0.036414 memory: 4565 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.847072 2023/08/08 17:55:08 - mmengine - INFO - Epoch(train) [133][170/529] lr: 5.000000e-04 eta: 4:06:57 time: 0.351368 data_time: 0.033192 memory: 4565 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.881515 2023/08/08 17:55:08 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:55:11 - mmengine - INFO - Epoch(train) [133][180/529] lr: 5.000000e-04 eta: 4:06:53 time: 0.348914 data_time: 0.033426 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.939069 2023/08/08 17:55:14 - mmengine - INFO - Epoch(train) [133][190/529] lr: 5.000000e-04 eta: 4:06:49 time: 0.347514 data_time: 0.033462 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.867865 2023/08/08 17:55:18 - mmengine - INFO - Epoch(train) [133][200/529] lr: 5.000000e-04 eta: 4:06:46 time: 0.351579 data_time: 0.033089 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.868670 2023/08/08 17:55:22 - mmengine - INFO - Epoch(train) [133][210/529] lr: 5.000000e-04 eta: 4:06:42 time: 0.350822 data_time: 0.032970 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.881865 2023/08/08 17:55:25 - mmengine - INFO - Epoch(train) [133][220/529] lr: 5.000000e-04 eta: 4:06:38 time: 0.351174 data_time: 0.032885 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.924396 2023/08/08 17:55:29 - mmengine - INFO - Epoch(train) [133][230/529] lr: 5.000000e-04 eta: 4:06:35 time: 0.352214 data_time: 0.032291 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.843630 2023/08/08 17:55:32 - mmengine - INFO - Epoch(train) [133][240/529] lr: 5.000000e-04 eta: 4:06:31 time: 0.355786 data_time: 0.031964 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.874497 2023/08/08 17:55:36 - mmengine - INFO - Epoch(train) [133][250/529] lr: 5.000000e-04 eta: 4:06:28 time: 0.350817 data_time: 0.031508 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.899523 2023/08/08 17:55:39 - mmengine - INFO - Epoch(train) [133][260/529] lr: 5.000000e-04 eta: 4:06:24 time: 0.353172 data_time: 0.031693 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.910067 2023/08/08 17:55:43 - mmengine - INFO - Epoch(train) [133][270/529] lr: 5.000000e-04 eta: 4:06:20 time: 0.356251 data_time: 0.031683 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.911971 2023/08/08 17:55:46 - mmengine - INFO - Epoch(train) [133][280/529] lr: 5.000000e-04 eta: 4:06:17 time: 0.355710 data_time: 0.032011 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.877488 2023/08/08 17:55:50 - mmengine - INFO - Epoch(train) [133][290/529] lr: 5.000000e-04 eta: 4:06:13 time: 0.353044 data_time: 0.032714 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.877618 2023/08/08 17:55:53 - mmengine - INFO - Epoch(train) [133][300/529] lr: 5.000000e-04 eta: 4:06:09 time: 0.353072 data_time: 0.033545 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.925441 2023/08/08 17:55:57 - mmengine - INFO - Epoch(train) [133][310/529] lr: 5.000000e-04 eta: 4:06:06 time: 0.355642 data_time: 0.034202 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.891826 2023/08/08 17:56:01 - mmengine - INFO - Epoch(train) [133][320/529] lr: 5.000000e-04 eta: 4:06:02 time: 0.356206 data_time: 0.035040 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.945994 2023/08/08 17:56:05 - mmengine - INFO - Epoch(train) [133][330/529] lr: 5.000000e-04 eta: 4:05:59 time: 0.362043 data_time: 0.037947 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.885356 2023/08/08 17:56:08 - mmengine - INFO - Epoch(train) [133][340/529] lr: 5.000000e-04 eta: 4:05:55 time: 0.362881 data_time: 0.037278 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.850959 2023/08/08 17:56:12 - mmengine - INFO - Epoch(train) [133][350/529] lr: 5.000000e-04 eta: 4:05:51 time: 0.365995 data_time: 0.036596 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.911392 2023/08/08 17:56:15 - mmengine - INFO - Epoch(train) [133][360/529] lr: 5.000000e-04 eta: 4:05:48 time: 0.360912 data_time: 0.035664 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.832552 2023/08/08 17:56:19 - mmengine - INFO - Epoch(train) [133][370/529] lr: 5.000000e-04 eta: 4:05:44 time: 0.355254 data_time: 0.034569 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.901366 2023/08/08 17:56:22 - mmengine - INFO - Epoch(train) [133][380/529] lr: 5.000000e-04 eta: 4:05:40 time: 0.348257 data_time: 0.030925 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.914229 2023/08/08 17:56:25 - mmengine - INFO - Epoch(train) [133][390/529] lr: 5.000000e-04 eta: 4:05:37 time: 0.347021 data_time: 0.030916 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.802932 2023/08/08 17:56:29 - mmengine - INFO - Epoch(train) [133][400/529] lr: 5.000000e-04 eta: 4:05:33 time: 0.345506 data_time: 0.030890 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.913133 2023/08/08 17:56:33 - mmengine - INFO - Epoch(train) [133][410/529] lr: 5.000000e-04 eta: 4:05:29 time: 0.348814 data_time: 0.031091 memory: 4565 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.847416 2023/08/08 17:56:36 - mmengine - INFO - Epoch(train) [133][420/529] lr: 5.000000e-04 eta: 4:05:26 time: 0.351866 data_time: 0.031875 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.925517 2023/08/08 17:56:40 - mmengine - INFO - Epoch(train) [133][430/529] lr: 5.000000e-04 eta: 4:05:22 time: 0.353218 data_time: 0.032307 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.915640 2023/08/08 17:56:43 - mmengine - INFO - Epoch(train) [133][440/529] lr: 5.000000e-04 eta: 4:05:18 time: 0.355788 data_time: 0.032378 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.922125 2023/08/08 17:56:47 - mmengine - INFO - Epoch(train) [133][450/529] lr: 5.000000e-04 eta: 4:05:15 time: 0.353779 data_time: 0.032230 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.924052 2023/08/08 17:56:50 - mmengine - INFO - Epoch(train) [133][460/529] lr: 5.000000e-04 eta: 4:05:11 time: 0.351325 data_time: 0.032035 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.864004 2023/08/08 17:56:54 - mmengine - INFO - Epoch(train) [133][470/529] lr: 5.000000e-04 eta: 4:05:07 time: 0.349523 data_time: 0.031668 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.889451 2023/08/08 17:56:57 - mmengine - INFO - Epoch(train) [133][480/529] lr: 5.000000e-04 eta: 4:05:04 time: 0.350006 data_time: 0.031774 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.932925 2023/08/08 17:57:01 - mmengine - INFO - Epoch(train) [133][490/529] lr: 5.000000e-04 eta: 4:05:00 time: 0.348328 data_time: 0.031676 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.872334 2023/08/08 17:57:04 - mmengine - INFO - Epoch(train) [133][500/529] lr: 5.000000e-04 eta: 4:04:56 time: 0.348999 data_time: 0.031658 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.911684 2023/08/08 17:57:08 - mmengine - INFO - Epoch(train) [133][510/529] lr: 5.000000e-04 eta: 4:04:53 time: 0.350103 data_time: 0.031811 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.895039 2023/08/08 17:57:11 - mmengine - INFO - Epoch(train) [133][520/529] lr: 5.000000e-04 eta: 4:04:49 time: 0.352286 data_time: 0.031832 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.892482 2023/08/08 17:57:14 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 17:57:18 - mmengine - INFO - Epoch(train) [134][ 10/529] lr: 5.000000e-04 eta: 4:04:42 time: 0.355714 data_time: 0.035386 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.822072 2023/08/08 17:57:22 - mmengine - INFO - Epoch(train) [134][ 20/529] lr: 5.000000e-04 eta: 4:04:39 time: 0.358536 data_time: 0.035531 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.930677 2023/08/08 17:57:25 - mmengine - INFO - Epoch(train) [134][ 30/529] lr: 5.000000e-04 eta: 4:04:35 time: 0.360672 data_time: 0.035631 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.908956 2023/08/08 17:57:29 - mmengine - INFO - Epoch(train) [134][ 40/529] lr: 5.000000e-04 eta: 4:04:31 time: 0.358925 data_time: 0.035403 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.907844 2023/08/08 17:57:33 - mmengine - INFO - Epoch(train) [134][ 50/529] lr: 5.000000e-04 eta: 4:04:28 time: 0.361547 data_time: 0.035456 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.871454 2023/08/08 17:57:36 - mmengine - INFO - Epoch(train) [134][ 60/529] lr: 5.000000e-04 eta: 4:04:24 time: 0.362962 data_time: 0.031810 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.870161 2023/08/08 17:57:40 - mmengine - INFO - Epoch(train) [134][ 70/529] lr: 5.000000e-04 eta: 4:04:21 time: 0.369829 data_time: 0.031670 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.897276 2023/08/08 17:57:44 - mmengine - INFO - Epoch(train) [134][ 80/529] lr: 5.000000e-04 eta: 4:04:17 time: 0.371193 data_time: 0.031644 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.890654 2023/08/08 17:57:48 - mmengine - INFO - Epoch(train) [134][ 90/529] lr: 5.000000e-04 eta: 4:04:14 time: 0.372810 data_time: 0.031713 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.904738 2023/08/08 17:57:51 - mmengine - INFO - Epoch(train) [134][100/529] lr: 5.000000e-04 eta: 4:04:10 time: 0.374080 data_time: 0.032085 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.904263 2023/08/08 17:57:55 - mmengine - INFO - Epoch(train) [134][110/529] lr: 5.000000e-04 eta: 4:04:06 time: 0.367887 data_time: 0.031904 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.915261 2023/08/08 17:57:58 - mmengine - INFO - Epoch(train) [134][120/529] lr: 5.000000e-04 eta: 4:04:03 time: 0.359064 data_time: 0.032320 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.926689 2023/08/08 17:58:02 - mmengine - INFO - Epoch(train) [134][130/529] lr: 5.000000e-04 eta: 4:03:59 time: 0.359458 data_time: 0.032556 memory: 4565 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.851593 2023/08/08 17:58:06 - mmengine - INFO - Epoch(train) [134][140/529] lr: 5.000000e-04 eta: 4:03:56 time: 0.360307 data_time: 0.033122 memory: 4565 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.915316 2023/08/08 17:58:09 - mmengine - INFO - Epoch(train) [134][150/529] lr: 5.000000e-04 eta: 4:03:52 time: 0.357640 data_time: 0.032621 memory: 4565 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.893899 2023/08/08 17:58:13 - mmengine - INFO - Epoch(train) [134][160/529] lr: 5.000000e-04 eta: 4:03:48 time: 0.357175 data_time: 0.032591 memory: 4565 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.847501 2023/08/08 17:58:16 - mmengine - INFO - Epoch(train) [134][170/529] lr: 5.000000e-04 eta: 4:03:45 time: 0.356637 data_time: 0.032067 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.888504 2023/08/08 17:58:20 - mmengine - INFO - Epoch(train) [134][180/529] lr: 5.000000e-04 eta: 4:03:41 time: 0.353854 data_time: 0.031884 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.852828 2023/08/08 17:58:23 - mmengine - INFO - Epoch(train) [134][190/529] lr: 5.000000e-04 eta: 4:03:37 time: 0.352330 data_time: 0.031247 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.871243 2023/08/08 17:58:27 - mmengine - INFO - Epoch(train) [134][200/529] lr: 5.000000e-04 eta: 4:03:34 time: 0.354903 data_time: 0.031319 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.839004 2023/08/08 17:58:31 - mmengine - INFO - Epoch(train) [134][210/529] lr: 5.000000e-04 eta: 4:03:30 time: 0.356263 data_time: 0.031718 memory: 4565 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.855005 2023/08/08 17:58:34 - mmengine - INFO - Epoch(train) [134][220/529] lr: 5.000000e-04 eta: 4:03:27 time: 0.358127 data_time: 0.032330 memory: 4565 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.915141 2023/08/08 17:58:38 - mmengine - INFO - Epoch(train) [134][230/529] lr: 5.000000e-04 eta: 4:03:23 time: 0.366051 data_time: 0.032737 memory: 4565 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.879309 2023/08/08 17:58:42 - mmengine - INFO - Epoch(train) [134][240/529] lr: 5.000000e-04 eta: 4:03:20 time: 0.370922 data_time: 0.032968 memory: 4565 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.898920 2023/08/08 17:58:46 - mmengine - INFO - Epoch(train) [134][250/529] lr: 5.000000e-04 eta: 4:03:16 time: 0.374689 data_time: 0.033087 memory: 4565 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.903865 2023/08/08 17:58:49 - mmengine - INFO - Epoch(train) [134][260/529] lr: 5.000000e-04 eta: 4:03:13 time: 0.374412 data_time: 0.033120 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.877737 2023/08/08 17:58:53 - mmengine - INFO - Epoch(train) [134][270/529] lr: 5.000000e-04 eta: 4:03:09 time: 0.377010 data_time: 0.033142 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.917543 2023/08/08 17:58:57 - mmengine - INFO - Epoch(train) [134][280/529] lr: 5.000000e-04 eta: 4:03:06 time: 0.375787 data_time: 0.032974 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.886129 2023/08/08 17:59:01 - mmengine - INFO - Epoch(train) [134][290/529] lr: 5.000000e-04 eta: 4:03:02 time: 0.376115 data_time: 0.033046 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.907655 2023/08/08 17:59:04 - mmengine - INFO - Epoch(train) [134][300/529] lr: 5.000000e-04 eta: 4:02:58 time: 0.370524 data_time: 0.032755 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.903569 2023/08/08 17:59:08 - mmengine - INFO - Epoch(train) [134][310/529] lr: 5.000000e-04 eta: 4:02:55 time: 0.370242 data_time: 0.032305 memory: 4565 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.904372 2023/08/08 17:59:11 - mmengine - INFO - Epoch(train) [134][320/529] lr: 5.000000e-04 eta: 4:02:51 time: 0.367202 data_time: 0.032284 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.907969 2023/08/08 17:59:15 - mmengine - INFO - Epoch(train) [134][330/529] lr: 5.000000e-04 eta: 4:02:48 time: 0.361099 data_time: 0.032081 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.832783 2023/08/08 17:59:18 - mmengine - INFO - Epoch(train) [134][340/529] lr: 5.000000e-04 eta: 4:02:44 time: 0.354249 data_time: 0.031889 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.856877 2023/08/08 17:59:22 - mmengine - INFO - Epoch(train) [134][350/529] lr: 5.000000e-04 eta: 4:02:40 time: 0.358345 data_time: 0.032245 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.905750 2023/08/08 17:59:26 - mmengine - INFO - Epoch(train) [134][360/529] lr: 5.000000e-04 eta: 4:02:37 time: 0.368659 data_time: 0.032144 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.922761 2023/08/08 17:59:30 - mmengine - INFO - Epoch(train) [134][370/529] lr: 5.000000e-04 eta: 4:02:34 time: 0.373362 data_time: 0.031592 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.897061 2023/08/08 17:59:34 - mmengine - INFO - Epoch(train) [134][380/529] lr: 5.000000e-04 eta: 4:02:30 time: 0.373807 data_time: 0.031439 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.883789 2023/08/08 17:59:37 - mmengine - INFO - Epoch(train) [134][390/529] lr: 5.000000e-04 eta: 4:02:26 time: 0.376945 data_time: 0.031175 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.951426 2023/08/08 17:59:41 - mmengine - INFO - Epoch(train) [134][400/529] lr: 5.000000e-04 eta: 4:02:23 time: 0.374628 data_time: 0.030917 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.881594 2023/08/08 17:59:44 - mmengine - INFO - Epoch(train) [134][410/529] lr: 5.000000e-04 eta: 4:02:19 time: 0.363505 data_time: 0.030825 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.901831 2023/08/08 17:59:48 - mmengine - INFO - Epoch(train) [134][420/529] lr: 5.000000e-04 eta: 4:02:15 time: 0.357399 data_time: 0.030955 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.899224 2023/08/08 17:59:52 - mmengine - INFO - Epoch(train) [134][430/529] lr: 5.000000e-04 eta: 4:02:12 time: 0.358676 data_time: 0.031188 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.927781 2023/08/08 17:59:55 - mmengine - INFO - Epoch(train) [134][440/529] lr: 5.000000e-04 eta: 4:02:08 time: 0.356080 data_time: 0.031664 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.888554 2023/08/08 17:59:59 - mmengine - INFO - Epoch(train) [134][450/529] lr: 5.000000e-04 eta: 4:02:05 time: 0.357934 data_time: 0.035454 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.937608 2023/08/08 18:00:02 - mmengine - INFO - Epoch(train) [134][460/529] lr: 5.000000e-04 eta: 4:02:01 time: 0.359858 data_time: 0.035876 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.899928 2023/08/08 18:00:06 - mmengine - INFO - Epoch(train) [134][470/529] lr: 5.000000e-04 eta: 4:01:58 time: 0.368434 data_time: 0.036090 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.852107 2023/08/08 18:00:10 - mmengine - INFO - Epoch(train) [134][480/529] lr: 5.000000e-04 eta: 4:01:54 time: 0.373062 data_time: 0.036325 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.925422 2023/08/08 18:00:14 - mmengine - INFO - Epoch(train) [134][490/529] lr: 5.000000e-04 eta: 4:01:51 time: 0.383515 data_time: 0.036560 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.814125 2023/08/08 18:00:18 - mmengine - INFO - Epoch(train) [134][500/529] lr: 5.000000e-04 eta: 4:01:47 time: 0.380136 data_time: 0.033047 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.839242 2023/08/08 18:00:22 - mmengine - INFO - Epoch(train) [134][510/529] lr: 5.000000e-04 eta: 4:01:44 time: 0.381445 data_time: 0.032834 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.938175 2023/08/08 18:00:25 - mmengine - INFO - Epoch(train) [134][520/529] lr: 5.000000e-04 eta: 4:01:40 time: 0.374373 data_time: 0.032739 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.931706 2023/08/08 18:00:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:00:32 - mmengine - INFO - Epoch(train) [135][ 10/529] lr: 5.000000e-04 eta: 4:01:33 time: 0.360318 data_time: 0.036413 memory: 4565 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.885491 2023/08/08 18:00:35 - mmengine - INFO - Epoch(train) [135][ 20/529] lr: 5.000000e-04 eta: 4:01:29 time: 0.356589 data_time: 0.036003 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.885625 2023/08/08 18:00:39 - mmengine - INFO - Epoch(train) [135][ 30/529] lr: 5.000000e-04 eta: 4:01:26 time: 0.355743 data_time: 0.036448 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.863732 2023/08/08 18:00:42 - mmengine - INFO - Epoch(train) [135][ 40/529] lr: 5.000000e-04 eta: 4:01:22 time: 0.354316 data_time: 0.036528 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.840026 2023/08/08 18:00:46 - mmengine - INFO - Epoch(train) [135][ 50/529] lr: 5.000000e-04 eta: 4:01:18 time: 0.356065 data_time: 0.037462 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.845181 2023/08/08 18:00:49 - mmengine - INFO - Epoch(train) [135][ 60/529] lr: 5.000000e-04 eta: 4:01:15 time: 0.351103 data_time: 0.033181 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.881262 2023/08/08 18:00:53 - mmengine - INFO - Epoch(train) [135][ 70/529] lr: 5.000000e-04 eta: 4:01:11 time: 0.353274 data_time: 0.032919 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.878348 2023/08/08 18:00:56 - mmengine - INFO - Epoch(train) [135][ 80/529] lr: 5.000000e-04 eta: 4:01:07 time: 0.350223 data_time: 0.032288 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.907323 2023/08/08 18:01:00 - mmengine - INFO - Epoch(train) [135][ 90/529] lr: 5.000000e-04 eta: 4:01:04 time: 0.353624 data_time: 0.032059 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.906491 2023/08/08 18:01:04 - mmengine - INFO - Epoch(train) [135][100/529] lr: 5.000000e-04 eta: 4:01:00 time: 0.353704 data_time: 0.031674 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.940104 2023/08/08 18:01:07 - mmengine - INFO - Epoch(train) [135][110/529] lr: 5.000000e-04 eta: 4:00:57 time: 0.355248 data_time: 0.031446 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.884604 2023/08/08 18:01:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:01:11 - mmengine - INFO - Epoch(train) [135][120/529] lr: 5.000000e-04 eta: 4:00:53 time: 0.354290 data_time: 0.031615 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.898337 2023/08/08 18:01:15 - mmengine - INFO - Epoch(train) [135][130/529] lr: 5.000000e-04 eta: 4:00:49 time: 0.363825 data_time: 0.031992 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.913059 2023/08/08 18:01:18 - mmengine - INFO - Epoch(train) [135][140/529] lr: 5.000000e-04 eta: 4:00:46 time: 0.360259 data_time: 0.032100 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.913860 2023/08/08 18:01:22 - mmengine - INFO - Epoch(train) [135][150/529] lr: 5.000000e-04 eta: 4:00:42 time: 0.358465 data_time: 0.032308 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.884773 2023/08/08 18:01:25 - mmengine - INFO - Epoch(train) [135][160/529] lr: 5.000000e-04 eta: 4:00:39 time: 0.359437 data_time: 0.032552 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.929762 2023/08/08 18:01:29 - mmengine - INFO - Epoch(train) [135][170/529] lr: 5.000000e-04 eta: 4:00:35 time: 0.359528 data_time: 0.032395 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.860528 2023/08/08 18:01:32 - mmengine - INFO - Epoch(train) [135][180/529] lr: 5.000000e-04 eta: 4:00:31 time: 0.355501 data_time: 0.032652 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.870684 2023/08/08 18:01:36 - mmengine - INFO - Epoch(train) [135][190/529] lr: 5.000000e-04 eta: 4:00:28 time: 0.353109 data_time: 0.032390 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.902172 2023/08/08 18:01:40 - mmengine - INFO - Epoch(train) [135][200/529] lr: 5.000000e-04 eta: 4:00:24 time: 0.358439 data_time: 0.031946 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.950529 2023/08/08 18:01:43 - mmengine - INFO - Epoch(train) [135][210/529] lr: 5.000000e-04 eta: 4:00:20 time: 0.358397 data_time: 0.031875 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.930985 2023/08/08 18:01:47 - mmengine - INFO - Epoch(train) [135][220/529] lr: 5.000000e-04 eta: 4:00:17 time: 0.359430 data_time: 0.032030 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.913872 2023/08/08 18:01:50 - mmengine - INFO - Epoch(train) [135][230/529] lr: 5.000000e-04 eta: 4:00:13 time: 0.355434 data_time: 0.032421 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.947044 2023/08/08 18:01:54 - mmengine - INFO - Epoch(train) [135][240/529] lr: 5.000000e-04 eta: 4:00:10 time: 0.358863 data_time: 0.032992 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.904789 2023/08/08 18:01:57 - mmengine - INFO - Epoch(train) [135][250/529] lr: 5.000000e-04 eta: 4:00:06 time: 0.354771 data_time: 0.033022 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.956757 2023/08/08 18:02:01 - mmengine - INFO - Epoch(train) [135][260/529] lr: 5.000000e-04 eta: 4:00:02 time: 0.353052 data_time: 0.032498 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.888298 2023/08/08 18:02:04 - mmengine - INFO - Epoch(train) [135][270/529] lr: 5.000000e-04 eta: 3:59:59 time: 0.351013 data_time: 0.032393 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.877885 2023/08/08 18:02:08 - mmengine - INFO - Epoch(train) [135][280/529] lr: 5.000000e-04 eta: 3:59:55 time: 0.349888 data_time: 0.031464 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.869929 2023/08/08 18:02:11 - mmengine - INFO - Epoch(train) [135][290/529] lr: 5.000000e-04 eta: 3:59:51 time: 0.349143 data_time: 0.031304 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.917370 2023/08/08 18:02:15 - mmengine - INFO - Epoch(train) [135][300/529] lr: 5.000000e-04 eta: 3:59:48 time: 0.348745 data_time: 0.031391 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.886991 2023/08/08 18:02:18 - mmengine - INFO - Epoch(train) [135][310/529] lr: 5.000000e-04 eta: 3:59:44 time: 0.352218 data_time: 0.031869 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.909136 2023/08/08 18:02:22 - mmengine - INFO - Epoch(train) [135][320/529] lr: 5.000000e-04 eta: 3:59:41 time: 0.360833 data_time: 0.032350 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.890245 2023/08/08 18:02:26 - mmengine - INFO - Epoch(train) [135][330/529] lr: 5.000000e-04 eta: 3:59:37 time: 0.369713 data_time: 0.032876 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.929717 2023/08/08 18:02:30 - mmengine - INFO - Epoch(train) [135][340/529] lr: 5.000000e-04 eta: 3:59:34 time: 0.376375 data_time: 0.032945 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.877317 2023/08/08 18:02:34 - mmengine - INFO - Epoch(train) [135][350/529] lr: 5.000000e-04 eta: 3:59:30 time: 0.382574 data_time: 0.033443 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.938048 2023/08/08 18:02:37 - mmengine - INFO - Epoch(train) [135][360/529] lr: 5.000000e-04 eta: 3:59:26 time: 0.380054 data_time: 0.033179 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.921743 2023/08/08 18:02:41 - mmengine - INFO - Epoch(train) [135][370/529] lr: 5.000000e-04 eta: 3:59:23 time: 0.375189 data_time: 0.033361 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.878291 2023/08/08 18:02:45 - mmengine - INFO - Epoch(train) [135][380/529] lr: 5.000000e-04 eta: 3:59:19 time: 0.368011 data_time: 0.032873 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.921652 2023/08/08 18:02:48 - mmengine - INFO - Epoch(train) [135][390/529] lr: 5.000000e-04 eta: 3:59:16 time: 0.364608 data_time: 0.037753 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.876963 2023/08/08 18:02:52 - mmengine - INFO - Epoch(train) [135][400/529] lr: 5.000000e-04 eta: 3:59:12 time: 0.360608 data_time: 0.037582 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.872446 2023/08/08 18:02:56 - mmengine - INFO - Epoch(train) [135][410/529] lr: 5.000000e-04 eta: 3:59:08 time: 0.361160 data_time: 0.037590 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.939150 2023/08/08 18:02:59 - mmengine - INFO - Epoch(train) [135][420/529] lr: 5.000000e-04 eta: 3:59:05 time: 0.357806 data_time: 0.037024 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.841726 2023/08/08 18:03:03 - mmengine - INFO - Epoch(train) [135][430/529] lr: 5.000000e-04 eta: 3:59:01 time: 0.359356 data_time: 0.037175 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.905767 2023/08/08 18:03:06 - mmengine - INFO - Epoch(train) [135][440/529] lr: 5.000000e-04 eta: 3:58:58 time: 0.356509 data_time: 0.031916 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.931827 2023/08/08 18:03:10 - mmengine - INFO - Epoch(train) [135][450/529] lr: 5.000000e-04 eta: 3:58:54 time: 0.353094 data_time: 0.031344 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.894030 2023/08/08 18:03:13 - mmengine - INFO - Epoch(train) [135][460/529] lr: 5.000000e-04 eta: 3:58:50 time: 0.350308 data_time: 0.031073 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.893917 2023/08/08 18:03:17 - mmengine - INFO - Epoch(train) [135][470/529] lr: 5.000000e-04 eta: 3:58:46 time: 0.349841 data_time: 0.030890 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.875482 2023/08/08 18:03:20 - mmengine - INFO - Epoch(train) [135][480/529] lr: 5.000000e-04 eta: 3:58:43 time: 0.348032 data_time: 0.030790 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.887038 2023/08/08 18:03:24 - mmengine - INFO - Epoch(train) [135][490/529] lr: 5.000000e-04 eta: 3:58:39 time: 0.354014 data_time: 0.031028 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.827044 2023/08/08 18:03:27 - mmengine - INFO - Epoch(train) [135][500/529] lr: 5.000000e-04 eta: 3:58:36 time: 0.354892 data_time: 0.031253 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.930698 2023/08/08 18:03:31 - mmengine - INFO - Epoch(train) [135][510/529] lr: 5.000000e-04 eta: 3:58:32 time: 0.355205 data_time: 0.031373 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.892001 2023/08/08 18:03:34 - mmengine - INFO - Epoch(train) [135][520/529] lr: 5.000000e-04 eta: 3:58:28 time: 0.357221 data_time: 0.031364 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.863597 2023/08/08 18:03:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:03:41 - mmengine - INFO - Epoch(train) [136][ 10/529] lr: 5.000000e-04 eta: 3:58:21 time: 0.351556 data_time: 0.034846 memory: 4565 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.874169 2023/08/08 18:03:45 - mmengine - INFO - Epoch(train) [136][ 20/529] lr: 5.000000e-04 eta: 3:58:18 time: 0.350876 data_time: 0.035432 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.900221 2023/08/08 18:03:48 - mmengine - INFO - Epoch(train) [136][ 30/529] lr: 5.000000e-04 eta: 3:58:14 time: 0.351678 data_time: 0.036549 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.866624 2023/08/08 18:03:52 - mmengine - INFO - Epoch(train) [136][ 40/529] lr: 5.000000e-04 eta: 3:58:10 time: 0.349446 data_time: 0.036613 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.937406 2023/08/08 18:03:55 - mmengine - INFO - Epoch(train) [136][ 50/529] lr: 5.000000e-04 eta: 3:58:07 time: 0.353963 data_time: 0.040399 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.923915 2023/08/08 18:03:59 - mmengine - INFO - Epoch(train) [136][ 60/529] lr: 5.000000e-04 eta: 3:58:03 time: 0.347767 data_time: 0.036300 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.834704 2023/08/08 18:04:02 - mmengine - INFO - Epoch(train) [136][ 70/529] lr: 5.000000e-04 eta: 3:57:59 time: 0.346318 data_time: 0.035244 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.897650 2023/08/08 18:04:05 - mmengine - INFO - Epoch(train) [136][ 80/529] lr: 5.000000e-04 eta: 3:57:56 time: 0.346178 data_time: 0.034491 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.905254 2023/08/08 18:04:09 - mmengine - INFO - Epoch(train) [136][ 90/529] lr: 5.000000e-04 eta: 3:57:52 time: 0.347227 data_time: 0.034492 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.929942 2023/08/08 18:04:12 - mmengine - INFO - Epoch(train) [136][100/529] lr: 5.000000e-04 eta: 3:57:48 time: 0.345091 data_time: 0.031624 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.886494 2023/08/08 18:04:16 - mmengine - INFO - Epoch(train) [136][110/529] lr: 5.000000e-04 eta: 3:57:45 time: 0.345131 data_time: 0.031523 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.871315 2023/08/08 18:04:19 - mmengine - INFO - Epoch(train) [136][120/529] lr: 5.000000e-04 eta: 3:57:41 time: 0.345206 data_time: 0.031422 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.847896 2023/08/08 18:04:23 - mmengine - INFO - Epoch(train) [136][130/529] lr: 5.000000e-04 eta: 3:57:37 time: 0.344268 data_time: 0.031154 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.909585 2023/08/08 18:04:26 - mmengine - INFO - Epoch(train) [136][140/529] lr: 5.000000e-04 eta: 3:57:34 time: 0.346609 data_time: 0.031355 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.870436 2023/08/08 18:04:30 - mmengine - INFO - Epoch(train) [136][150/529] lr: 5.000000e-04 eta: 3:57:30 time: 0.350681 data_time: 0.031787 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.883187 2023/08/08 18:04:34 - mmengine - INFO - Epoch(train) [136][160/529] lr: 5.000000e-04 eta: 3:57:26 time: 0.353702 data_time: 0.032413 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.887406 2023/08/08 18:04:37 - mmengine - INFO - Epoch(train) [136][170/529] lr: 5.000000e-04 eta: 3:57:23 time: 0.355900 data_time: 0.033359 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.900047 2023/08/08 18:04:40 - mmengine - INFO - Epoch(train) [136][180/529] lr: 5.000000e-04 eta: 3:57:19 time: 0.356376 data_time: 0.034163 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.902701 2023/08/08 18:04:44 - mmengine - INFO - Epoch(train) [136][190/529] lr: 5.000000e-04 eta: 3:57:15 time: 0.353293 data_time: 0.034805 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.875090 2023/08/08 18:04:47 - mmengine - INFO - Epoch(train) [136][200/529] lr: 5.000000e-04 eta: 3:57:12 time: 0.348166 data_time: 0.034136 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.934063 2023/08/08 18:04:51 - mmengine - INFO - Epoch(train) [136][210/529] lr: 5.000000e-04 eta: 3:57:08 time: 0.346175 data_time: 0.033909 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.896991 2023/08/08 18:04:54 - mmengine - INFO - Epoch(train) [136][220/529] lr: 5.000000e-04 eta: 3:57:04 time: 0.348535 data_time: 0.036723 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.922981 2023/08/08 18:04:58 - mmengine - INFO - Epoch(train) [136][230/529] lr: 5.000000e-04 eta: 3:57:01 time: 0.349493 data_time: 0.036245 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.870342 2023/08/08 18:05:01 - mmengine - INFO - Epoch(train) [136][240/529] lr: 5.000000e-04 eta: 3:56:57 time: 0.348844 data_time: 0.035455 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.915735 2023/08/08 18:05:05 - mmengine - INFO - Epoch(train) [136][250/529] lr: 5.000000e-04 eta: 3:56:53 time: 0.349149 data_time: 0.035721 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.895942 2023/08/08 18:05:08 - mmengine - INFO - Epoch(train) [136][260/529] lr: 5.000000e-04 eta: 3:56:50 time: 0.349345 data_time: 0.036280 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.887090 2023/08/08 18:05:12 - mmengine - INFO - Epoch(train) [136][270/529] lr: 5.000000e-04 eta: 3:56:46 time: 0.348346 data_time: 0.033386 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.922557 2023/08/08 18:05:15 - mmengine - INFO - Epoch(train) [136][280/529] lr: 5.000000e-04 eta: 3:56:42 time: 0.349395 data_time: 0.033184 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.908141 2023/08/08 18:05:19 - mmengine - INFO - Epoch(train) [136][290/529] lr: 5.000000e-04 eta: 3:56:39 time: 0.352713 data_time: 0.033037 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.939844 2023/08/08 18:05:23 - mmengine - INFO - Epoch(train) [136][300/529] lr: 5.000000e-04 eta: 3:56:35 time: 0.354228 data_time: 0.033023 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.873158 2023/08/08 18:05:26 - mmengine - INFO - Epoch(train) [136][310/529] lr: 5.000000e-04 eta: 3:56:31 time: 0.354562 data_time: 0.032363 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.825584 2023/08/08 18:05:30 - mmengine - INFO - Epoch(train) [136][320/529] lr: 5.000000e-04 eta: 3:56:28 time: 0.352706 data_time: 0.032001 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.930475 2023/08/08 18:05:33 - mmengine - INFO - Epoch(train) [136][330/529] lr: 5.000000e-04 eta: 3:56:24 time: 0.351206 data_time: 0.032233 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.928435 2023/08/08 18:05:37 - mmengine - INFO - Epoch(train) [136][340/529] lr: 5.000000e-04 eta: 3:56:20 time: 0.351637 data_time: 0.032808 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.889381 2023/08/08 18:05:40 - mmengine - INFO - Epoch(train) [136][350/529] lr: 5.000000e-04 eta: 3:56:17 time: 0.351144 data_time: 0.032673 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.947536 2023/08/08 18:05:44 - mmengine - INFO - Epoch(train) [136][360/529] lr: 5.000000e-04 eta: 3:56:13 time: 0.352244 data_time: 0.033014 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.895998 2023/08/08 18:05:47 - mmengine - INFO - Epoch(train) [136][370/529] lr: 5.000000e-04 eta: 3:56:10 time: 0.357930 data_time: 0.033131 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.880221 2023/08/08 18:05:51 - mmengine - INFO - Epoch(train) [136][380/529] lr: 5.000000e-04 eta: 3:56:06 time: 0.358725 data_time: 0.033169 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.836754 2023/08/08 18:05:55 - mmengine - INFO - Epoch(train) [136][390/529] lr: 5.000000e-04 eta: 3:56:02 time: 0.359905 data_time: 0.033001 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.926777 2023/08/08 18:05:58 - mmengine - INFO - Epoch(train) [136][400/529] lr: 5.000000e-04 eta: 3:55:59 time: 0.359034 data_time: 0.032619 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.840673 2023/08/08 18:06:02 - mmengine - INFO - Epoch(train) [136][410/529] lr: 5.000000e-04 eta: 3:55:55 time: 0.358976 data_time: 0.032319 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.896268 2023/08/08 18:06:05 - mmengine - INFO - Epoch(train) [136][420/529] lr: 5.000000e-04 eta: 3:55:52 time: 0.357431 data_time: 0.031936 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.894034 2023/08/08 18:06:09 - mmengine - INFO - Epoch(train) [136][430/529] lr: 5.000000e-04 eta: 3:55:48 time: 0.355644 data_time: 0.031657 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.855482 2023/08/08 18:06:12 - mmengine - INFO - Epoch(train) [136][440/529] lr: 5.000000e-04 eta: 3:55:44 time: 0.350436 data_time: 0.031396 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.956839 2023/08/08 18:06:16 - mmengine - INFO - Epoch(train) [136][450/529] lr: 5.000000e-04 eta: 3:55:41 time: 0.357025 data_time: 0.031486 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.833325 2023/08/08 18:06:20 - mmengine - INFO - Epoch(train) [136][460/529] lr: 5.000000e-04 eta: 3:55:37 time: 0.364206 data_time: 0.031753 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.873548 2023/08/08 18:06:24 - mmengine - INFO - Epoch(train) [136][470/529] lr: 5.000000e-04 eta: 3:55:34 time: 0.367413 data_time: 0.032522 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.902332 2023/08/08 18:06:27 - mmengine - INFO - Epoch(train) [136][480/529] lr: 5.000000e-04 eta: 3:55:30 time: 0.369859 data_time: 0.032787 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.911034 2023/08/08 18:06:31 - mmengine - INFO - Epoch(train) [136][490/529] lr: 5.000000e-04 eta: 3:55:26 time: 0.374848 data_time: 0.033091 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.930850 2023/08/08 18:06:34 - mmengine - INFO - Epoch(train) [136][500/529] lr: 5.000000e-04 eta: 3:55:23 time: 0.370614 data_time: 0.033576 memory: 4565 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.954632 2023/08/08 18:06:38 - mmengine - INFO - Epoch(train) [136][510/529] lr: 5.000000e-04 eta: 3:55:19 time: 0.367592 data_time: 0.033533 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.893752 2023/08/08 18:06:42 - mmengine - INFO - Epoch(train) [136][520/529] lr: 5.000000e-04 eta: 3:55:16 time: 0.368733 data_time: 0.032745 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.919246 2023/08/08 18:06:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:06:49 - mmengine - INFO - Epoch(train) [137][ 10/529] lr: 5.000000e-04 eta: 3:55:09 time: 0.369218 data_time: 0.035687 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.935963 2023/08/08 18:06:53 - mmengine - INFO - Epoch(train) [137][ 20/529] lr: 5.000000e-04 eta: 3:55:06 time: 0.380611 data_time: 0.035352 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.919529 2023/08/08 18:06:57 - mmengine - INFO - Epoch(train) [137][ 30/529] lr: 5.000000e-04 eta: 3:55:02 time: 0.378782 data_time: 0.035114 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.900355 2023/08/08 18:07:00 - mmengine - INFO - Epoch(train) [137][ 40/529] lr: 5.000000e-04 eta: 3:54:59 time: 0.370936 data_time: 0.035232 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.903320 2023/08/08 18:07:04 - mmengine - INFO - Epoch(train) [137][ 50/529] lr: 5.000000e-04 eta: 3:54:55 time: 0.371570 data_time: 0.035755 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.926212 2023/08/08 18:07:06 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:07:07 - mmengine - INFO - Epoch(train) [137][ 60/529] lr: 5.000000e-04 eta: 3:54:51 time: 0.368141 data_time: 0.031903 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.949916 2023/08/08 18:07:11 - mmengine - INFO - Epoch(train) [137][ 70/529] lr: 5.000000e-04 eta: 3:54:48 time: 0.359120 data_time: 0.031608 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.853518 2023/08/08 18:07:15 - mmengine - INFO - Epoch(train) [137][ 80/529] lr: 5.000000e-04 eta: 3:54:44 time: 0.359761 data_time: 0.031455 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.900232 2023/08/08 18:07:18 - mmengine - INFO - Epoch(train) [137][ 90/529] lr: 5.000000e-04 eta: 3:54:40 time: 0.360444 data_time: 0.032250 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.900031 2023/08/08 18:07:22 - mmengine - INFO - Epoch(train) [137][100/529] lr: 5.000000e-04 eta: 3:54:37 time: 0.362406 data_time: 0.032509 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.891854 2023/08/08 18:07:26 - mmengine - INFO - Epoch(train) [137][110/529] lr: 5.000000e-04 eta: 3:54:33 time: 0.368479 data_time: 0.031912 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.893831 2023/08/08 18:07:30 - mmengine - INFO - Epoch(train) [137][120/529] lr: 5.000000e-04 eta: 3:54:30 time: 0.371387 data_time: 0.031892 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.946250 2023/08/08 18:07:33 - mmengine - INFO - Epoch(train) [137][130/529] lr: 5.000000e-04 eta: 3:54:26 time: 0.372281 data_time: 0.033200 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.923055 2023/08/08 18:07:37 - mmengine - INFO - Epoch(train) [137][140/529] lr: 5.000000e-04 eta: 3:54:23 time: 0.370890 data_time: 0.032277 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.904737 2023/08/08 18:07:40 - mmengine - INFO - Epoch(train) [137][150/529] lr: 5.000000e-04 eta: 3:54:19 time: 0.368579 data_time: 0.032265 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.881858 2023/08/08 18:07:44 - mmengine - INFO - Epoch(train) [137][160/529] lr: 5.000000e-04 eta: 3:54:15 time: 0.359126 data_time: 0.032385 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.903357 2023/08/08 18:07:48 - mmengine - INFO - Epoch(train) [137][170/529] lr: 5.000000e-04 eta: 3:54:12 time: 0.360615 data_time: 0.033216 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.852555 2023/08/08 18:07:52 - mmengine - INFO - Epoch(train) [137][180/529] lr: 5.000000e-04 eta: 3:54:08 time: 0.363092 data_time: 0.032213 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.851402 2023/08/08 18:07:56 - mmengine - INFO - Epoch(train) [137][190/529] lr: 5.000000e-04 eta: 3:54:05 time: 0.372173 data_time: 0.032672 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.901661 2023/08/08 18:07:59 - mmengine - INFO - Epoch(train) [137][200/529] lr: 5.000000e-04 eta: 3:54:01 time: 0.375183 data_time: 0.033633 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.924400 2023/08/08 18:08:03 - mmengine - INFO - Epoch(train) [137][210/529] lr: 5.000000e-04 eta: 3:53:58 time: 0.375665 data_time: 0.034356 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.922639 2023/08/08 18:08:06 - mmengine - INFO - Epoch(train) [137][220/529] lr: 5.000000e-04 eta: 3:53:54 time: 0.366555 data_time: 0.033771 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.891958 2023/08/08 18:08:10 - mmengine - INFO - Epoch(train) [137][230/529] lr: 5.000000e-04 eta: 3:53:50 time: 0.359647 data_time: 0.033265 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.926610 2023/08/08 18:08:13 - mmengine - INFO - Epoch(train) [137][240/529] lr: 5.000000e-04 eta: 3:53:47 time: 0.349429 data_time: 0.032859 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.901071 2023/08/08 18:08:17 - mmengine - INFO - Epoch(train) [137][250/529] lr: 5.000000e-04 eta: 3:53:43 time: 0.346470 data_time: 0.032070 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.916681 2023/08/08 18:08:20 - mmengine - INFO - Epoch(train) [137][260/529] lr: 5.000000e-04 eta: 3:53:39 time: 0.345534 data_time: 0.031563 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.905543 2023/08/08 18:08:24 - mmengine - INFO - Epoch(train) [137][270/529] lr: 5.000000e-04 eta: 3:53:36 time: 0.346977 data_time: 0.032841 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.904235 2023/08/08 18:08:27 - mmengine - INFO - Epoch(train) [137][280/529] lr: 5.000000e-04 eta: 3:53:32 time: 0.347383 data_time: 0.034051 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.937333 2023/08/08 18:08:30 - mmengine - INFO - Epoch(train) [137][290/529] lr: 5.000000e-04 eta: 3:53:28 time: 0.348363 data_time: 0.034900 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.865266 2023/08/08 18:08:34 - mmengine - INFO - Epoch(train) [137][300/529] lr: 5.000000e-04 eta: 3:53:25 time: 0.347348 data_time: 0.034659 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.899380 2023/08/08 18:08:37 - mmengine - INFO - Epoch(train) [137][310/529] lr: 5.000000e-04 eta: 3:53:21 time: 0.347664 data_time: 0.034866 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.878806 2023/08/08 18:08:41 - mmengine - INFO - Epoch(train) [137][320/529] lr: 5.000000e-04 eta: 3:53:17 time: 0.349850 data_time: 0.034785 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.914678 2023/08/08 18:08:45 - mmengine - INFO - Epoch(train) [137][330/529] lr: 5.000000e-04 eta: 3:53:14 time: 0.359326 data_time: 0.034219 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.867460 2023/08/08 18:08:48 - mmengine - INFO - Epoch(train) [137][340/529] lr: 5.000000e-04 eta: 3:53:10 time: 0.359822 data_time: 0.033412 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.922277 2023/08/08 18:08:52 - mmengine - INFO - Epoch(train) [137][350/529] lr: 5.000000e-04 eta: 3:53:07 time: 0.360478 data_time: 0.033806 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.919151 2023/08/08 18:08:56 - mmengine - INFO - Epoch(train) [137][360/529] lr: 5.000000e-04 eta: 3:53:03 time: 0.363447 data_time: 0.034029 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.891411 2023/08/08 18:08:59 - mmengine - INFO - Epoch(train) [137][370/529] lr: 5.000000e-04 eta: 3:52:59 time: 0.359736 data_time: 0.034074 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.889183 2023/08/08 18:09:03 - mmengine - INFO - Epoch(train) [137][380/529] lr: 5.000000e-04 eta: 3:52:56 time: 0.351865 data_time: 0.034399 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.865414 2023/08/08 18:09:06 - mmengine - INFO - Epoch(train) [137][390/529] lr: 5.000000e-04 eta: 3:52:52 time: 0.351325 data_time: 0.034375 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.924988 2023/08/08 18:09:10 - mmengine - INFO - Epoch(train) [137][400/529] lr: 5.000000e-04 eta: 3:52:48 time: 0.353783 data_time: 0.034249 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.910320 2023/08/08 18:09:13 - mmengine - INFO - Epoch(train) [137][410/529] lr: 5.000000e-04 eta: 3:52:45 time: 0.350227 data_time: 0.033919 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.934477 2023/08/08 18:09:17 - mmengine - INFO - Epoch(train) [137][420/529] lr: 5.000000e-04 eta: 3:52:41 time: 0.350095 data_time: 0.032513 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.866288 2023/08/08 18:09:20 - mmengine - INFO - Epoch(train) [137][430/529] lr: 5.000000e-04 eta: 3:52:37 time: 0.347899 data_time: 0.031876 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.884400 2023/08/08 18:09:23 - mmengine - INFO - Epoch(train) [137][440/529] lr: 5.000000e-04 eta: 3:52:34 time: 0.348711 data_time: 0.032010 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.880588 2023/08/08 18:09:27 - mmengine - INFO - Epoch(train) [137][450/529] lr: 5.000000e-04 eta: 3:52:30 time: 0.347255 data_time: 0.031873 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.884354 2023/08/08 18:09:31 - mmengine - INFO - Epoch(train) [137][460/529] lr: 5.000000e-04 eta: 3:52:26 time: 0.348960 data_time: 0.031736 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.914867 2023/08/08 18:09:34 - mmengine - INFO - Epoch(train) [137][470/529] lr: 5.000000e-04 eta: 3:52:23 time: 0.349547 data_time: 0.031991 memory: 4565 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.903709 2023/08/08 18:09:38 - mmengine - INFO - Epoch(train) [137][480/529] lr: 5.000000e-04 eta: 3:52:19 time: 0.357212 data_time: 0.032204 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.894646 2023/08/08 18:09:41 - mmengine - INFO - Epoch(train) [137][490/529] lr: 5.000000e-04 eta: 3:52:16 time: 0.357603 data_time: 0.032606 memory: 4565 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.867511 2023/08/08 18:09:45 - mmengine - INFO - Epoch(train) [137][500/529] lr: 5.000000e-04 eta: 3:52:12 time: 0.359336 data_time: 0.032610 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.866330 2023/08/08 18:09:49 - mmengine - INFO - Epoch(train) [137][510/529] lr: 5.000000e-04 eta: 3:52:08 time: 0.359322 data_time: 0.032993 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.860264 2023/08/08 18:09:52 - mmengine - INFO - Epoch(train) [137][520/529] lr: 5.000000e-04 eta: 3:52:05 time: 0.358521 data_time: 0.033102 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.911099 2023/08/08 18:09:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:09:59 - mmengine - INFO - Epoch(train) [138][ 10/529] lr: 5.000000e-04 eta: 3:51:58 time: 0.362507 data_time: 0.036716 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.893476 2023/08/08 18:10:03 - mmengine - INFO - Epoch(train) [138][ 20/529] lr: 5.000000e-04 eta: 3:51:54 time: 0.361068 data_time: 0.037316 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.897490 2023/08/08 18:10:06 - mmengine - INFO - Epoch(train) [138][ 30/529] lr: 5.000000e-04 eta: 3:51:51 time: 0.365657 data_time: 0.037643 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.903706 2023/08/08 18:10:10 - mmengine - INFO - Epoch(train) [138][ 40/529] lr: 5.000000e-04 eta: 3:51:47 time: 0.375000 data_time: 0.037671 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.913756 2023/08/08 18:10:14 - mmengine - INFO - Epoch(train) [138][ 50/529] lr: 5.000000e-04 eta: 3:51:44 time: 0.377930 data_time: 0.038297 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.923322 2023/08/08 18:10:18 - mmengine - INFO - Epoch(train) [138][ 60/529] lr: 5.000000e-04 eta: 3:51:40 time: 0.368394 data_time: 0.034064 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.876819 2023/08/08 18:10:22 - mmengine - INFO - Epoch(train) [138][ 70/529] lr: 5.000000e-04 eta: 3:51:37 time: 0.376348 data_time: 0.034093 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.938116 2023/08/08 18:10:25 - mmengine - INFO - Epoch(train) [138][ 80/529] lr: 5.000000e-04 eta: 3:51:33 time: 0.375761 data_time: 0.033945 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.880544 2023/08/08 18:10:29 - mmengine - INFO - Epoch(train) [138][ 90/529] lr: 5.000000e-04 eta: 3:51:30 time: 0.375877 data_time: 0.034590 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.865243 2023/08/08 18:10:33 - mmengine - INFO - Epoch(train) [138][100/529] lr: 5.000000e-04 eta: 3:51:26 time: 0.383141 data_time: 0.033922 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.859180 2023/08/08 18:10:37 - mmengine - INFO - Epoch(train) [138][110/529] lr: 5.000000e-04 eta: 3:51:23 time: 0.384301 data_time: 0.033677 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.918902 2023/08/08 18:10:41 - mmengine - INFO - Epoch(train) [138][120/529] lr: 5.000000e-04 eta: 3:51:19 time: 0.379617 data_time: 0.033686 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.928262 2023/08/08 18:10:44 - mmengine - INFO - Epoch(train) [138][130/529] lr: 5.000000e-04 eta: 3:51:16 time: 0.381172 data_time: 0.033032 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.901101 2023/08/08 18:10:48 - mmengine - INFO - Epoch(train) [138][140/529] lr: 5.000000e-04 eta: 3:51:12 time: 0.381198 data_time: 0.031937 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.918116 2023/08/08 18:10:52 - mmengine - INFO - Epoch(train) [138][150/529] lr: 5.000000e-04 eta: 3:51:09 time: 0.379652 data_time: 0.031986 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.923956 2023/08/08 18:10:56 - mmengine - INFO - Epoch(train) [138][160/529] lr: 5.000000e-04 eta: 3:51:05 time: 0.385861 data_time: 0.031735 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.867588 2023/08/08 18:11:00 - mmengine - INFO - Epoch(train) [138][170/529] lr: 5.000000e-04 eta: 3:51:02 time: 0.394063 data_time: 0.034745 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.924589 2023/08/08 18:11:04 - mmengine - INFO - Epoch(train) [138][180/529] lr: 5.000000e-04 eta: 3:50:59 time: 0.392159 data_time: 0.035205 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.881302 2023/08/08 18:11:08 - mmengine - INFO - Epoch(train) [138][190/529] lr: 5.000000e-04 eta: 3:50:55 time: 0.385434 data_time: 0.035961 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.899723 2023/08/08 18:11:11 - mmengine - INFO - Epoch(train) [138][200/529] lr: 5.000000e-04 eta: 3:50:51 time: 0.378276 data_time: 0.036077 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.934222 2023/08/08 18:11:15 - mmengine - INFO - Epoch(train) [138][210/529] lr: 5.000000e-04 eta: 3:50:48 time: 0.369848 data_time: 0.036160 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.876836 2023/08/08 18:11:18 - mmengine - INFO - Epoch(train) [138][220/529] lr: 5.000000e-04 eta: 3:50:44 time: 0.359026 data_time: 0.032465 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.848656 2023/08/08 18:11:22 - mmengine - INFO - Epoch(train) [138][230/529] lr: 5.000000e-04 eta: 3:50:40 time: 0.357287 data_time: 0.032103 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.913765 2023/08/08 18:11:26 - mmengine - INFO - Epoch(train) [138][240/529] lr: 5.000000e-04 eta: 3:50:37 time: 0.358758 data_time: 0.031978 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.862413 2023/08/08 18:11:29 - mmengine - INFO - Epoch(train) [138][250/529] lr: 5.000000e-04 eta: 3:50:33 time: 0.358209 data_time: 0.031908 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.898368 2023/08/08 18:11:33 - mmengine - INFO - Epoch(train) [138][260/529] lr: 5.000000e-04 eta: 3:50:30 time: 0.357519 data_time: 0.032003 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.901690 2023/08/08 18:11:36 - mmengine - INFO - Epoch(train) [138][270/529] lr: 5.000000e-04 eta: 3:50:26 time: 0.362034 data_time: 0.032667 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.859102 2023/08/08 18:11:40 - mmengine - INFO - Epoch(train) [138][280/529] lr: 5.000000e-04 eta: 3:50:23 time: 0.368060 data_time: 0.032747 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.857513 2023/08/08 18:11:44 - mmengine - INFO - Epoch(train) [138][290/529] lr: 5.000000e-04 eta: 3:50:19 time: 0.371618 data_time: 0.032466 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.853996 2023/08/08 18:11:48 - mmengine - INFO - Epoch(train) [138][300/529] lr: 5.000000e-04 eta: 3:50:16 time: 0.377350 data_time: 0.032512 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.883154 2023/08/08 18:11:51 - mmengine - INFO - Epoch(train) [138][310/529] lr: 5.000000e-04 eta: 3:50:12 time: 0.378317 data_time: 0.032544 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.953043 2023/08/08 18:11:55 - mmengine - INFO - Epoch(train) [138][320/529] lr: 5.000000e-04 eta: 3:50:08 time: 0.373882 data_time: 0.031624 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.871982 2023/08/08 18:11:59 - mmengine - INFO - Epoch(train) [138][330/529] lr: 5.000000e-04 eta: 3:50:05 time: 0.366889 data_time: 0.031746 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.928696 2023/08/08 18:12:02 - mmengine - INFO - Epoch(train) [138][340/529] lr: 5.000000e-04 eta: 3:50:01 time: 0.361600 data_time: 0.031434 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.925383 2023/08/08 18:12:06 - mmengine - INFO - Epoch(train) [138][350/529] lr: 5.000000e-04 eta: 3:49:57 time: 0.356559 data_time: 0.032019 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.920440 2023/08/08 18:12:09 - mmengine - INFO - Epoch(train) [138][360/529] lr: 5.000000e-04 eta: 3:49:54 time: 0.356003 data_time: 0.031886 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.889379 2023/08/08 18:12:13 - mmengine - INFO - Epoch(train) [138][370/529] lr: 5.000000e-04 eta: 3:49:50 time: 0.356165 data_time: 0.032227 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.900090 2023/08/08 18:12:16 - mmengine - INFO - Epoch(train) [138][380/529] lr: 5.000000e-04 eta: 3:49:47 time: 0.355337 data_time: 0.032211 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.908216 2023/08/08 18:12:20 - mmengine - INFO - Epoch(train) [138][390/529] lr: 5.000000e-04 eta: 3:49:43 time: 0.354230 data_time: 0.032688 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.872618 2023/08/08 18:12:23 - mmengine - INFO - Epoch(train) [138][400/529] lr: 5.000000e-04 eta: 3:49:39 time: 0.353396 data_time: 0.032019 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.934730 2023/08/08 18:12:27 - mmengine - INFO - Epoch(train) [138][410/529] lr: 5.000000e-04 eta: 3:49:36 time: 0.353944 data_time: 0.032533 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.940658 2023/08/08 18:12:31 - mmengine - INFO - Epoch(train) [138][420/529] lr: 5.000000e-04 eta: 3:49:32 time: 0.361629 data_time: 0.036826 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.911532 2023/08/08 18:12:35 - mmengine - INFO - Epoch(train) [138][430/529] lr: 5.000000e-04 eta: 3:49:29 time: 0.365604 data_time: 0.036746 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.886593 2023/08/08 18:12:38 - mmengine - INFO - Epoch(train) [138][440/529] lr: 5.000000e-04 eta: 3:49:25 time: 0.367292 data_time: 0.036761 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.894628 2023/08/08 18:12:42 - mmengine - INFO - Epoch(train) [138][450/529] lr: 5.000000e-04 eta: 3:49:21 time: 0.368361 data_time: 0.036807 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.908865 2023/08/08 18:12:45 - mmengine - INFO - Epoch(train) [138][460/529] lr: 5.000000e-04 eta: 3:49:18 time: 0.369006 data_time: 0.036398 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.957019 2023/08/08 18:12:49 - mmengine - INFO - Epoch(train) [138][470/529] lr: 5.000000e-04 eta: 3:49:14 time: 0.361423 data_time: 0.032116 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.893270 2023/08/08 18:12:53 - mmengine - INFO - Epoch(train) [138][480/529] lr: 5.000000e-04 eta: 3:49:11 time: 0.364061 data_time: 0.032587 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.925306 2023/08/08 18:12:56 - mmengine - INFO - Epoch(train) [138][490/529] lr: 5.000000e-04 eta: 3:49:07 time: 0.364087 data_time: 0.032967 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.922959 2023/08/08 18:13:00 - mmengine - INFO - Epoch(train) [138][500/529] lr: 5.000000e-04 eta: 3:49:03 time: 0.365193 data_time: 0.033466 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.904917 2023/08/08 18:13:04 - mmengine - INFO - Epoch(train) [138][510/529] lr: 5.000000e-04 eta: 3:49:00 time: 0.366574 data_time: 0.033600 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.913450 2023/08/08 18:13:08 - mmengine - INFO - Epoch(train) [138][520/529] lr: 5.000000e-04 eta: 3:48:56 time: 0.372936 data_time: 0.033725 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.888130 2023/08/08 18:13:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:13:11 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:13:15 - mmengine - INFO - Epoch(train) [139][ 10/529] lr: 5.000000e-04 eta: 3:48:50 time: 0.379582 data_time: 0.037251 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.881594 2023/08/08 18:13:19 - mmengine - INFO - Epoch(train) [139][ 20/529] lr: 5.000000e-04 eta: 3:48:46 time: 0.378951 data_time: 0.036782 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.949272 2023/08/08 18:13:22 - mmengine - INFO - Epoch(train) [139][ 30/529] lr: 5.000000e-04 eta: 3:48:43 time: 0.380756 data_time: 0.036981 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.933646 2023/08/08 18:13:26 - mmengine - INFO - Epoch(train) [139][ 40/529] lr: 5.000000e-04 eta: 3:48:39 time: 0.380628 data_time: 0.037101 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.903679 2023/08/08 18:13:30 - mmengine - INFO - Epoch(train) [139][ 50/529] lr: 5.000000e-04 eta: 3:48:36 time: 0.377304 data_time: 0.036762 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.930707 2023/08/08 18:13:33 - mmengine - INFO - Epoch(train) [139][ 60/529] lr: 5.000000e-04 eta: 3:48:32 time: 0.366026 data_time: 0.032051 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.916132 2023/08/08 18:13:37 - mmengine - INFO - Epoch(train) [139][ 70/529] lr: 5.000000e-04 eta: 3:48:28 time: 0.363688 data_time: 0.032166 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.881239 2023/08/08 18:13:41 - mmengine - INFO - Epoch(train) [139][ 80/529] lr: 5.000000e-04 eta: 3:48:25 time: 0.362447 data_time: 0.035414 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.833991 2023/08/08 18:13:44 - mmengine - INFO - Epoch(train) [139][ 90/529] lr: 5.000000e-04 eta: 3:48:21 time: 0.355070 data_time: 0.035059 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.910970 2023/08/08 18:13:48 - mmengine - INFO - Epoch(train) [139][100/529] lr: 5.000000e-04 eta: 3:48:17 time: 0.350958 data_time: 0.035003 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.916795 2023/08/08 18:13:51 - mmengine - INFO - Epoch(train) [139][110/529] lr: 5.000000e-04 eta: 3:48:14 time: 0.351087 data_time: 0.034981 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.907757 2023/08/08 18:13:54 - mmengine - INFO - Epoch(train) [139][120/529] lr: 5.000000e-04 eta: 3:48:10 time: 0.349916 data_time: 0.034587 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.907004 2023/08/08 18:13:58 - mmengine - INFO - Epoch(train) [139][130/529] lr: 5.000000e-04 eta: 3:48:06 time: 0.347170 data_time: 0.031077 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.925454 2023/08/08 18:14:01 - mmengine - INFO - Epoch(train) [139][140/529] lr: 5.000000e-04 eta: 3:48:03 time: 0.346469 data_time: 0.031210 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.843033 2023/08/08 18:14:05 - mmengine - INFO - Epoch(train) [139][150/529] lr: 5.000000e-04 eta: 3:47:59 time: 0.347779 data_time: 0.031931 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.886314 2023/08/08 18:14:09 - mmengine - INFO - Epoch(train) [139][160/529] lr: 5.000000e-04 eta: 3:47:55 time: 0.351438 data_time: 0.032777 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.869080 2023/08/08 18:14:12 - mmengine - INFO - Epoch(train) [139][170/529] lr: 5.000000e-04 eta: 3:47:52 time: 0.353397 data_time: 0.032813 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.926488 2023/08/08 18:14:16 - mmengine - INFO - Epoch(train) [139][180/529] lr: 5.000000e-04 eta: 3:47:48 time: 0.354654 data_time: 0.032615 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.892037 2023/08/08 18:14:19 - mmengine - INFO - Epoch(train) [139][190/529] lr: 5.000000e-04 eta: 3:47:45 time: 0.358014 data_time: 0.032364 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.948969 2023/08/08 18:14:23 - mmengine - INFO - Epoch(train) [139][200/529] lr: 5.000000e-04 eta: 3:47:41 time: 0.362369 data_time: 0.032178 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.918531 2023/08/08 18:14:27 - mmengine - INFO - Epoch(train) [139][210/529] lr: 5.000000e-04 eta: 3:47:38 time: 0.364614 data_time: 0.031470 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.875534 2023/08/08 18:14:31 - mmengine - INFO - Epoch(train) [139][220/529] lr: 5.000000e-04 eta: 3:47:34 time: 0.375702 data_time: 0.031994 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.914496 2023/08/08 18:14:35 - mmengine - INFO - Epoch(train) [139][230/529] lr: 5.000000e-04 eta: 3:47:31 time: 0.382242 data_time: 0.032342 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.904289 2023/08/08 18:14:39 - mmengine - INFO - Epoch(train) [139][240/529] lr: 5.000000e-04 eta: 3:47:27 time: 0.386938 data_time: 0.032531 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.904250 2023/08/08 18:14:43 - mmengine - INFO - Epoch(train) [139][250/529] lr: 5.000000e-04 eta: 3:47:24 time: 0.389455 data_time: 0.032309 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.926564 2023/08/08 18:14:46 - mmengine - INFO - Epoch(train) [139][260/529] lr: 5.000000e-04 eta: 3:47:20 time: 0.391579 data_time: 0.032667 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.907502 2023/08/08 18:14:50 - mmengine - INFO - Epoch(train) [139][270/529] lr: 5.000000e-04 eta: 3:47:17 time: 0.380972 data_time: 0.032241 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.901536 2023/08/08 18:14:54 - mmengine - INFO - Epoch(train) [139][280/529] lr: 5.000000e-04 eta: 3:47:13 time: 0.375593 data_time: 0.032493 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.860943 2023/08/08 18:14:57 - mmengine - INFO - Epoch(train) [139][290/529] lr: 5.000000e-04 eta: 3:47:09 time: 0.368666 data_time: 0.032317 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.892025 2023/08/08 18:15:01 - mmengine - INFO - Epoch(train) [139][300/529] lr: 5.000000e-04 eta: 3:47:06 time: 0.365746 data_time: 0.035594 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.858736 2023/08/08 18:15:04 - mmengine - INFO - Epoch(train) [139][310/529] lr: 5.000000e-04 eta: 3:47:02 time: 0.360240 data_time: 0.035280 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.917358 2023/08/08 18:15:08 - mmengine - INFO - Epoch(train) [139][320/529] lr: 5.000000e-04 eta: 3:46:59 time: 0.360639 data_time: 0.035269 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.879854 2023/08/08 18:15:12 - mmengine - INFO - Epoch(train) [139][330/529] lr: 5.000000e-04 eta: 3:46:55 time: 0.365918 data_time: 0.035322 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.868939 2023/08/08 18:15:16 - mmengine - INFO - Epoch(train) [139][340/529] lr: 5.000000e-04 eta: 3:46:52 time: 0.367962 data_time: 0.035922 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.940073 2023/08/08 18:15:19 - mmengine - INFO - Epoch(train) [139][350/529] lr: 5.000000e-04 eta: 3:46:48 time: 0.365324 data_time: 0.033436 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.925000 2023/08/08 18:15:23 - mmengine - INFO - Epoch(train) [139][360/529] lr: 5.000000e-04 eta: 3:46:44 time: 0.367274 data_time: 0.034206 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.850325 2023/08/08 18:15:26 - mmengine - INFO - Epoch(train) [139][370/529] lr: 5.000000e-04 eta: 3:46:41 time: 0.366423 data_time: 0.034891 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.882800 2023/08/08 18:15:30 - mmengine - INFO - Epoch(train) [139][380/529] lr: 5.000000e-04 eta: 3:46:37 time: 0.360379 data_time: 0.034377 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.959398 2023/08/08 18:15:34 - mmengine - INFO - Epoch(train) [139][390/529] lr: 5.000000e-04 eta: 3:46:34 time: 0.362438 data_time: 0.034245 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.920732 2023/08/08 18:15:38 - mmengine - INFO - Epoch(train) [139][400/529] lr: 5.000000e-04 eta: 3:46:30 time: 0.366380 data_time: 0.033499 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.900988 2023/08/08 18:15:41 - mmengine - INFO - Epoch(train) [139][410/529] lr: 5.000000e-04 eta: 3:46:27 time: 0.365577 data_time: 0.032715 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.885277 2023/08/08 18:15:45 - mmengine - INFO - Epoch(train) [139][420/529] lr: 5.000000e-04 eta: 3:46:23 time: 0.365402 data_time: 0.032065 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.876461 2023/08/08 18:15:48 - mmengine - INFO - Epoch(train) [139][430/529] lr: 5.000000e-04 eta: 3:46:19 time: 0.364601 data_time: 0.032223 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.907038 2023/08/08 18:15:52 - mmengine - INFO - Epoch(train) [139][440/529] lr: 5.000000e-04 eta: 3:46:16 time: 0.361673 data_time: 0.032110 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.907531 2023/08/08 18:15:55 - mmengine - INFO - Epoch(train) [139][450/529] lr: 5.000000e-04 eta: 3:46:12 time: 0.358421 data_time: 0.032220 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.932772 2023/08/08 18:15:59 - mmengine - INFO - Epoch(train) [139][460/529] lr: 5.000000e-04 eta: 3:46:08 time: 0.357725 data_time: 0.032577 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.943221 2023/08/08 18:16:03 - mmengine - INFO - Epoch(train) [139][470/529] lr: 5.000000e-04 eta: 3:46:05 time: 0.360828 data_time: 0.032983 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.901930 2023/08/08 18:16:06 - mmengine - INFO - Epoch(train) [139][480/529] lr: 5.000000e-04 eta: 3:46:01 time: 0.363185 data_time: 0.032688 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.845864 2023/08/08 18:16:10 - mmengine - INFO - Epoch(train) [139][490/529] lr: 5.000000e-04 eta: 3:45:58 time: 0.370105 data_time: 0.032491 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.901038 2023/08/08 18:16:14 - mmengine - INFO - Epoch(train) [139][500/529] lr: 5.000000e-04 eta: 3:45:54 time: 0.372496 data_time: 0.035598 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.929704 2023/08/08 18:16:18 - mmengine - INFO - Epoch(train) [139][510/529] lr: 5.000000e-04 eta: 3:45:51 time: 0.372091 data_time: 0.035414 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.908592 2023/08/08 18:16:21 - mmengine - INFO - Epoch(train) [139][520/529] lr: 5.000000e-04 eta: 3:45:47 time: 0.369539 data_time: 0.035085 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.906452 2023/08/08 18:16:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:16:28 - mmengine - INFO - Epoch(train) [140][ 10/529] lr: 5.000000e-04 eta: 3:45:40 time: 0.364602 data_time: 0.039683 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.911492 2023/08/08 18:16:32 - mmengine - INFO - Epoch(train) [140][ 20/529] lr: 5.000000e-04 eta: 3:45:37 time: 0.360460 data_time: 0.037172 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.895079 2023/08/08 18:16:35 - mmengine - INFO - Epoch(train) [140][ 30/529] lr: 5.000000e-04 eta: 3:45:33 time: 0.359697 data_time: 0.037073 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.870877 2023/08/08 18:16:39 - mmengine - INFO - Epoch(train) [140][ 40/529] lr: 5.000000e-04 eta: 3:45:29 time: 0.359256 data_time: 0.037305 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.937275 2023/08/08 18:16:43 - mmengine - INFO - Epoch(train) [140][ 50/529] lr: 5.000000e-04 eta: 3:45:26 time: 0.364037 data_time: 0.037554 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.863597 2023/08/08 18:16:46 - mmengine - INFO - Epoch(train) [140][ 60/529] lr: 5.000000e-04 eta: 3:45:22 time: 0.362090 data_time: 0.032917 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.918773 2023/08/08 18:16:50 - mmengine - INFO - Epoch(train) [140][ 70/529] lr: 5.000000e-04 eta: 3:45:19 time: 0.362585 data_time: 0.032119 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.861391 2023/08/08 18:16:54 - mmengine - INFO - Epoch(train) [140][ 80/529] lr: 5.000000e-04 eta: 3:45:15 time: 0.363943 data_time: 0.031896 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.895448 2023/08/08 18:16:57 - mmengine - INFO - Epoch(train) [140][ 90/529] lr: 5.000000e-04 eta: 3:45:11 time: 0.364867 data_time: 0.031630 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.910679 2023/08/08 18:17:01 - mmengine - INFO - Epoch(train) [140][100/529] lr: 5.000000e-04 eta: 3:45:08 time: 0.360750 data_time: 0.031723 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.873172 2023/08/08 18:17:04 - mmengine - INFO - Epoch(train) [140][110/529] lr: 5.000000e-04 eta: 3:45:04 time: 0.357972 data_time: 0.031817 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.884702 2023/08/08 18:17:08 - mmengine - INFO - Epoch(train) [140][120/529] lr: 5.000000e-04 eta: 3:45:01 time: 0.356384 data_time: 0.031674 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.895091 2023/08/08 18:17:12 - mmengine - INFO - Epoch(train) [140][130/529] lr: 5.000000e-04 eta: 3:44:57 time: 0.361667 data_time: 0.032186 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.895869 2023/08/08 18:17:15 - mmengine - INFO - Epoch(train) [140][140/529] lr: 5.000000e-04 eta: 3:44:53 time: 0.361840 data_time: 0.032129 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.883946 2023/08/08 18:17:19 - mmengine - INFO - Epoch(train) [140][150/529] lr: 5.000000e-04 eta: 3:44:50 time: 0.362032 data_time: 0.032111 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.891636 2023/08/08 18:17:22 - mmengine - INFO - Epoch(train) [140][160/529] lr: 5.000000e-04 eta: 3:44:46 time: 0.360450 data_time: 0.031844 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.966506 2023/08/08 18:17:26 - mmengine - INFO - Epoch(train) [140][170/529] lr: 5.000000e-04 eta: 3:44:43 time: 0.361070 data_time: 0.031774 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.854833 2023/08/08 18:17:30 - mmengine - INFO - Epoch(train) [140][180/529] lr: 5.000000e-04 eta: 3:44:39 time: 0.361822 data_time: 0.031704 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.933445 2023/08/08 18:17:33 - mmengine - INFO - Epoch(train) [140][190/529] lr: 5.000000e-04 eta: 3:44:35 time: 0.361710 data_time: 0.032490 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.918324 2023/08/08 18:17:37 - mmengine - INFO - Epoch(train) [140][200/529] lr: 5.000000e-04 eta: 3:44:32 time: 0.361662 data_time: 0.033001 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.899667 2023/08/08 18:17:40 - mmengine - INFO - Epoch(train) [140][210/529] lr: 5.000000e-04 eta: 3:44:28 time: 0.362558 data_time: 0.033790 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.876296 2023/08/08 18:17:44 - mmengine - INFO - Epoch(train) [140][220/529] lr: 5.000000e-04 eta: 3:44:25 time: 0.361770 data_time: 0.033769 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.864214 2023/08/08 18:17:47 - mmengine - INFO - Epoch(train) [140][230/529] lr: 5.000000e-04 eta: 3:44:21 time: 0.355073 data_time: 0.033529 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.944067 2023/08/08 18:17:51 - mmengine - INFO - Epoch(train) [140][240/529] lr: 5.000000e-04 eta: 3:44:17 time: 0.355655 data_time: 0.033123 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.883652 2023/08/08 18:17:55 - mmengine - INFO - Epoch(train) [140][250/529] lr: 5.000000e-04 eta: 3:44:14 time: 0.356112 data_time: 0.032918 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.872549 2023/08/08 18:17:58 - mmengine - INFO - Epoch(train) [140][260/529] lr: 5.000000e-04 eta: 3:44:10 time: 0.358149 data_time: 0.032536 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.901970 2023/08/08 18:18:02 - mmengine - INFO - Epoch(train) [140][270/529] lr: 5.000000e-04 eta: 3:44:06 time: 0.360596 data_time: 0.032443 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.939997 2023/08/08 18:18:05 - mmengine - INFO - Epoch(train) [140][280/529] lr: 5.000000e-04 eta: 3:44:03 time: 0.359917 data_time: 0.032514 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.871118 2023/08/08 18:18:09 - mmengine - INFO - Epoch(train) [140][290/529] lr: 5.000000e-04 eta: 3:43:59 time: 0.359021 data_time: 0.032875 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.936956 2023/08/08 18:18:13 - mmengine - INFO - Epoch(train) [140][300/529] lr: 5.000000e-04 eta: 3:43:56 time: 0.361637 data_time: 0.033096 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.943519 2023/08/08 18:18:16 - mmengine - INFO - Epoch(train) [140][310/529] lr: 5.000000e-04 eta: 3:43:52 time: 0.362497 data_time: 0.033804 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.914339 2023/08/08 18:18:20 - mmengine - INFO - Epoch(train) [140][320/529] lr: 5.000000e-04 eta: 3:43:49 time: 0.363084 data_time: 0.034316 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.922703 2023/08/08 18:18:24 - mmengine - INFO - Epoch(train) [140][330/529] lr: 5.000000e-04 eta: 3:43:45 time: 0.362945 data_time: 0.034227 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.945448 2023/08/08 18:18:27 - mmengine - INFO - Epoch(train) [140][340/529] lr: 5.000000e-04 eta: 3:43:41 time: 0.361784 data_time: 0.033478 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.882153 2023/08/08 18:18:31 - mmengine - INFO - Epoch(train) [140][350/529] lr: 5.000000e-04 eta: 3:43:38 time: 0.358653 data_time: 0.033103 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.920492 2023/08/08 18:18:34 - mmengine - INFO - Epoch(train) [140][360/529] lr: 5.000000e-04 eta: 3:43:34 time: 0.356613 data_time: 0.032243 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.883457 2023/08/08 18:18:38 - mmengine - INFO - Epoch(train) [140][370/529] lr: 5.000000e-04 eta: 3:43:30 time: 0.360125 data_time: 0.031952 memory: 4565 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.895750 2023/08/08 18:18:42 - mmengine - INFO - Epoch(train) [140][380/529] lr: 5.000000e-04 eta: 3:43:27 time: 0.361473 data_time: 0.031969 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.942865 2023/08/08 18:18:45 - mmengine - INFO - Epoch(train) [140][390/529] lr: 5.000000e-04 eta: 3:43:23 time: 0.365615 data_time: 0.032405 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.868624 2023/08/08 18:18:50 - mmengine - INFO - Epoch(train) [140][400/529] lr: 5.000000e-04 eta: 3:43:20 time: 0.376094 data_time: 0.032847 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.951193 2023/08/08 18:18:53 - mmengine - INFO - Epoch(train) [140][410/529] lr: 5.000000e-04 eta: 3:43:16 time: 0.383000 data_time: 0.032867 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.912021 2023/08/08 18:18:57 - mmengine - INFO - Epoch(train) [140][420/529] lr: 5.000000e-04 eta: 3:43:13 time: 0.384232 data_time: 0.033118 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.880872 2023/08/08 18:19:01 - mmengine - INFO - Epoch(train) [140][430/529] lr: 5.000000e-04 eta: 3:43:10 time: 0.387686 data_time: 0.033650 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.878209 2023/08/08 18:19:05 - mmengine - INFO - Epoch(train) [140][440/529] lr: 5.000000e-04 eta: 3:43:06 time: 0.388590 data_time: 0.036993 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.879079 2023/08/08 18:19:09 - mmengine - INFO - Epoch(train) [140][450/529] lr: 5.000000e-04 eta: 3:43:02 time: 0.382269 data_time: 0.036254 memory: 4565 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.908162 2023/08/08 18:19:12 - mmengine - INFO - Epoch(train) [140][460/529] lr: 5.000000e-04 eta: 3:42:59 time: 0.376474 data_time: 0.036371 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.882726 2023/08/08 18:19:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:19:16 - mmengine - INFO - Epoch(train) [140][470/529] lr: 5.000000e-04 eta: 3:42:55 time: 0.374203 data_time: 0.036127 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.916147 2023/08/08 18:19:20 - mmengine - INFO - Epoch(train) [140][480/529] lr: 5.000000e-04 eta: 3:42:52 time: 0.369615 data_time: 0.035756 memory: 4565 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.916716 2023/08/08 18:19:23 - mmengine - INFO - Epoch(train) [140][490/529] lr: 5.000000e-04 eta: 3:42:48 time: 0.365650 data_time: 0.032361 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.886346 2023/08/08 18:19:27 - mmengine - INFO - Epoch(train) [140][500/529] lr: 5.000000e-04 eta: 3:42:45 time: 0.365821 data_time: 0.032698 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.882084 2023/08/08 18:19:31 - mmengine - INFO - Epoch(train) [140][510/529] lr: 5.000000e-04 eta: 3:42:41 time: 0.365741 data_time: 0.032853 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.897598 2023/08/08 18:19:34 - mmengine - INFO - Epoch(train) [140][520/529] lr: 5.000000e-04 eta: 3:42:37 time: 0.363443 data_time: 0.033162 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.872341 2023/08/08 18:19:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:19:38 - mmengine - INFO - Saving checkpoint at 140 epochs 2023/08/08 18:19:44 - mmengine - INFO - Epoch(val) [140][ 10/127] eta: 0:00:24 time: 0.200490 data_time: 0.013376 memory: 4565 2023/08/08 18:19:46 - mmengine - INFO - Epoch(val) [140][ 20/127] eta: 0:00:21 time: 0.200676 data_time: 0.013506 memory: 1634 2023/08/08 18:19:48 - mmengine - INFO - Epoch(val) [140][ 30/127] eta: 0:00:19 time: 0.199970 data_time: 0.013237 memory: 1634 2023/08/08 18:19:50 - mmengine - INFO - Epoch(val) [140][ 40/127] eta: 0:00:17 time: 0.199823 data_time: 0.013305 memory: 1634 2023/08/08 18:19:52 - mmengine - INFO - Epoch(val) [140][ 50/127] eta: 0:00:15 time: 0.201834 data_time: 0.014156 memory: 1634 2023/08/08 18:19:54 - mmengine - INFO - Epoch(val) [140][ 60/127] eta: 0:00:13 time: 0.198833 data_time: 0.012003 memory: 1634 2023/08/08 18:19:56 - mmengine - INFO - Epoch(val) [140][ 70/127] eta: 0:00:11 time: 0.199026 data_time: 0.012369 memory: 1634 2023/08/08 18:19:58 - mmengine - INFO - Epoch(val) [140][ 80/127] eta: 0:00:09 time: 0.200921 data_time: 0.014383 memory: 1634 2023/08/08 18:20:00 - mmengine - INFO - Epoch(val) [140][ 90/127] eta: 0:00:07 time: 0.200828 data_time: 0.014416 memory: 1634 2023/08/08 18:20:02 - mmengine - INFO - Epoch(val) [140][100/127] eta: 0:00:05 time: 0.199918 data_time: 0.013626 memory: 1634 2023/08/08 18:20:04 - mmengine - INFO - Epoch(val) [140][110/127] eta: 0:00:03 time: 0.202061 data_time: 0.015713 memory: 1634 2023/08/08 18:20:06 - mmengine - INFO - Epoch(val) [140][120/127] eta: 0:00:01 time: 0.201665 data_time: 0.015159 memory: 1634 2023/08/08 18:20:07 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 18:20:07 - mmengine - INFO - Evaluating AUC... 2023/08/08 18:20:08 - mmengine - INFO - Evaluating EPE... 2023/08/08 18:20:08 - mmengine - INFO - Epoch(val) [140][127/127] PCK: 0.982259 AUC: 0.673025 EPE: 11.807029 data_time: 0.013997 time: 0.199626 2023/08/08 18:20:11 - mmengine - INFO - Epoch(train) [141][ 10/529] lr: 5.000000e-04 eta: 3:42:31 time: 0.376159 data_time: 0.036493 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.953690 2023/08/08 18:20:15 - mmengine - INFO - Epoch(train) [141][ 20/529] lr: 5.000000e-04 eta: 3:42:27 time: 0.373880 data_time: 0.036756 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.929558 2023/08/08 18:20:19 - mmengine - INFO - Epoch(train) [141][ 30/529] lr: 5.000000e-04 eta: 3:42:24 time: 0.376423 data_time: 0.036139 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.878190 2023/08/08 18:20:22 - mmengine - INFO - Epoch(train) [141][ 40/529] lr: 5.000000e-04 eta: 3:42:20 time: 0.374477 data_time: 0.035637 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.925300 2023/08/08 18:20:26 - mmengine - INFO - Epoch(train) [141][ 50/529] lr: 5.000000e-04 eta: 3:42:16 time: 0.364313 data_time: 0.035566 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.928384 2023/08/08 18:20:30 - mmengine - INFO - Epoch(train) [141][ 60/529] lr: 5.000000e-04 eta: 3:42:13 time: 0.360782 data_time: 0.032019 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.899156 2023/08/08 18:20:33 - mmengine - INFO - Epoch(train) [141][ 70/529] lr: 5.000000e-04 eta: 3:42:09 time: 0.361985 data_time: 0.031718 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.846761 2023/08/08 18:20:37 - mmengine - INFO - Epoch(train) [141][ 80/529] lr: 5.000000e-04 eta: 3:42:06 time: 0.359043 data_time: 0.031967 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.920637 2023/08/08 18:20:41 - mmengine - INFO - Epoch(train) [141][ 90/529] lr: 5.000000e-04 eta: 3:42:02 time: 0.362633 data_time: 0.031907 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.908050 2023/08/08 18:20:44 - mmengine - INFO - Epoch(train) [141][100/529] lr: 5.000000e-04 eta: 3:41:58 time: 0.364440 data_time: 0.032253 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.920710 2023/08/08 18:20:48 - mmengine - INFO - Epoch(train) [141][110/529] lr: 5.000000e-04 eta: 3:41:55 time: 0.365812 data_time: 0.032727 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.898844 2023/08/08 18:20:51 - mmengine - INFO - Epoch(train) [141][120/529] lr: 5.000000e-04 eta: 3:41:51 time: 0.363866 data_time: 0.033366 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.917731 2023/08/08 18:20:55 - mmengine - INFO - Epoch(train) [141][130/529] lr: 5.000000e-04 eta: 3:41:48 time: 0.363902 data_time: 0.033736 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.860839 2023/08/08 18:20:59 - mmengine - INFO - Epoch(train) [141][140/529] lr: 5.000000e-04 eta: 3:41:44 time: 0.362030 data_time: 0.034569 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.932850 2023/08/08 18:21:02 - mmengine - INFO - Epoch(train) [141][150/529] lr: 5.000000e-04 eta: 3:41:40 time: 0.362333 data_time: 0.034278 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.899405 2023/08/08 18:21:06 - mmengine - INFO - Epoch(train) [141][160/529] lr: 5.000000e-04 eta: 3:41:37 time: 0.360243 data_time: 0.034028 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.919271 2023/08/08 18:21:09 - mmengine - INFO - Epoch(train) [141][170/529] lr: 5.000000e-04 eta: 3:41:33 time: 0.360034 data_time: 0.034481 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.880360 2023/08/08 18:21:13 - mmengine - INFO - Epoch(train) [141][180/529] lr: 5.000000e-04 eta: 3:41:30 time: 0.361364 data_time: 0.034592 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.901794 2023/08/08 18:21:17 - mmengine - INFO - Epoch(train) [141][190/529] lr: 5.000000e-04 eta: 3:41:26 time: 0.362010 data_time: 0.034018 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.909583 2023/08/08 18:21:20 - mmengine - INFO - Epoch(train) [141][200/529] lr: 5.000000e-04 eta: 3:41:22 time: 0.361888 data_time: 0.034557 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.913672 2023/08/08 18:21:24 - mmengine - INFO - Epoch(train) [141][210/529] lr: 5.000000e-04 eta: 3:41:19 time: 0.365598 data_time: 0.034595 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.874479 2023/08/08 18:21:28 - mmengine - INFO - Epoch(train) [141][220/529] lr: 5.000000e-04 eta: 3:41:15 time: 0.371529 data_time: 0.033123 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.913375 2023/08/08 18:21:32 - mmengine - INFO - Epoch(train) [141][230/529] lr: 5.000000e-04 eta: 3:41:12 time: 0.372353 data_time: 0.036325 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.929582 2023/08/08 18:21:35 - mmengine - INFO - Epoch(train) [141][240/529] lr: 5.000000e-04 eta: 3:41:08 time: 0.372619 data_time: 0.036478 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.840648 2023/08/08 18:21:39 - mmengine - INFO - Epoch(train) [141][250/529] lr: 5.000000e-04 eta: 3:41:05 time: 0.374583 data_time: 0.036297 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.924422 2023/08/08 18:21:43 - mmengine - INFO - Epoch(train) [141][260/529] lr: 5.000000e-04 eta: 3:41:01 time: 0.377635 data_time: 0.036714 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.919496 2023/08/08 18:21:47 - mmengine - INFO - Epoch(train) [141][270/529] lr: 5.000000e-04 eta: 3:40:58 time: 0.372157 data_time: 0.037182 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.891787 2023/08/08 18:21:50 - mmengine - INFO - Epoch(train) [141][280/529] lr: 5.000000e-04 eta: 3:40:54 time: 0.369985 data_time: 0.034123 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.946370 2023/08/08 18:21:54 - mmengine - INFO - Epoch(train) [141][290/529] lr: 5.000000e-04 eta: 3:40:50 time: 0.368603 data_time: 0.034584 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.835103 2023/08/08 18:21:57 - mmengine - INFO - Epoch(train) [141][300/529] lr: 5.000000e-04 eta: 3:40:47 time: 0.365317 data_time: 0.034894 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.926865 2023/08/08 18:22:01 - mmengine - INFO - Epoch(train) [141][310/529] lr: 5.000000e-04 eta: 3:40:43 time: 0.360275 data_time: 0.035262 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.920561 2023/08/08 18:22:05 - mmengine - INFO - Epoch(train) [141][320/529] lr: 5.000000e-04 eta: 3:40:40 time: 0.359903 data_time: 0.035136 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.941221 2023/08/08 18:22:08 - mmengine - INFO - Epoch(train) [141][330/529] lr: 5.000000e-04 eta: 3:40:36 time: 0.362878 data_time: 0.035409 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.940725 2023/08/08 18:22:12 - mmengine - INFO - Epoch(train) [141][340/529] lr: 5.000000e-04 eta: 3:40:33 time: 0.363354 data_time: 0.035024 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.872776 2023/08/08 18:22:16 - mmengine - INFO - Epoch(train) [141][350/529] lr: 5.000000e-04 eta: 3:40:29 time: 0.369360 data_time: 0.034665 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.912968 2023/08/08 18:22:19 - mmengine - INFO - Epoch(train) [141][360/529] lr: 5.000000e-04 eta: 3:40:25 time: 0.367987 data_time: 0.033564 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.899054 2023/08/08 18:22:23 - mmengine - INFO - Epoch(train) [141][370/529] lr: 5.000000e-04 eta: 3:40:22 time: 0.365831 data_time: 0.033260 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.884672 2023/08/08 18:22:27 - mmengine - INFO - Epoch(train) [141][380/529] lr: 5.000000e-04 eta: 3:40:18 time: 0.361876 data_time: 0.032323 memory: 4565 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.885300 2023/08/08 18:22:30 - mmengine - INFO - Epoch(train) [141][390/529] lr: 5.000000e-04 eta: 3:40:15 time: 0.364407 data_time: 0.031890 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.916807 2023/08/08 18:22:34 - mmengine - INFO - Epoch(train) [141][400/529] lr: 5.000000e-04 eta: 3:40:11 time: 0.358865 data_time: 0.031736 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.923980 2023/08/08 18:22:37 - mmengine - INFO - Epoch(train) [141][410/529] lr: 5.000000e-04 eta: 3:40:07 time: 0.358795 data_time: 0.031610 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.903139 2023/08/08 18:22:41 - mmengine - INFO - Epoch(train) [141][420/529] lr: 5.000000e-04 eta: 3:40:04 time: 0.359987 data_time: 0.031549 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.939452 2023/08/08 18:22:45 - mmengine - INFO - Epoch(train) [141][430/529] lr: 5.000000e-04 eta: 3:40:00 time: 0.362474 data_time: 0.031391 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.925726 2023/08/08 18:22:48 - mmengine - INFO - Epoch(train) [141][440/529] lr: 5.000000e-04 eta: 3:39:56 time: 0.357557 data_time: 0.031831 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.917856 2023/08/08 18:22:52 - mmengine - INFO - Epoch(train) [141][450/529] lr: 5.000000e-04 eta: 3:39:53 time: 0.358131 data_time: 0.032162 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.927106 2023/08/08 18:22:55 - mmengine - INFO - Epoch(train) [141][460/529] lr: 5.000000e-04 eta: 3:39:49 time: 0.358674 data_time: 0.032348 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.917065 2023/08/08 18:22:59 - mmengine - INFO - Epoch(train) [141][470/529] lr: 5.000000e-04 eta: 3:39:46 time: 0.362788 data_time: 0.033447 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.896667 2023/08/08 18:23:03 - mmengine - INFO - Epoch(train) [141][480/529] lr: 5.000000e-04 eta: 3:39:42 time: 0.359748 data_time: 0.033404 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.894502 2023/08/08 18:23:06 - mmengine - INFO - Epoch(train) [141][490/529] lr: 5.000000e-04 eta: 3:39:38 time: 0.359802 data_time: 0.032917 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.942412 2023/08/08 18:23:10 - mmengine - INFO - Epoch(train) [141][500/529] lr: 5.000000e-04 eta: 3:39:35 time: 0.358132 data_time: 0.032313 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.871533 2023/08/08 18:23:13 - mmengine - INFO - Epoch(train) [141][510/529] lr: 5.000000e-04 eta: 3:39:31 time: 0.356994 data_time: 0.032054 memory: 4565 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.932962 2023/08/08 18:23:17 - mmengine - INFO - Epoch(train) [141][520/529] lr: 5.000000e-04 eta: 3:39:27 time: 0.352871 data_time: 0.031453 memory: 4565 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.945980 2023/08/08 18:23:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:23:24 - mmengine - INFO - Epoch(train) [142][ 10/529] lr: 5.000000e-04 eta: 3:39:21 time: 0.360161 data_time: 0.036069 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.895986 2023/08/08 18:23:28 - mmengine - INFO - Epoch(train) [142][ 20/529] lr: 5.000000e-04 eta: 3:39:17 time: 0.363465 data_time: 0.036288 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.888144 2023/08/08 18:23:31 - mmengine - INFO - Epoch(train) [142][ 30/529] lr: 5.000000e-04 eta: 3:39:14 time: 0.371322 data_time: 0.036609 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.948704 2023/08/08 18:23:35 - mmengine - INFO - Epoch(train) [142][ 40/529] lr: 5.000000e-04 eta: 3:39:10 time: 0.373040 data_time: 0.036337 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.912409 2023/08/08 18:23:39 - mmengine - INFO - Epoch(train) [142][ 50/529] lr: 5.000000e-04 eta: 3:39:06 time: 0.373792 data_time: 0.036508 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.898979 2023/08/08 18:23:42 - mmengine - INFO - Epoch(train) [142][ 60/529] lr: 5.000000e-04 eta: 3:39:03 time: 0.364305 data_time: 0.032108 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.946638 2023/08/08 18:23:46 - mmengine - INFO - Epoch(train) [142][ 70/529] lr: 5.000000e-04 eta: 3:38:59 time: 0.359748 data_time: 0.032458 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.849166 2023/08/08 18:23:49 - mmengine - INFO - Epoch(train) [142][ 80/529] lr: 5.000000e-04 eta: 3:38:55 time: 0.352278 data_time: 0.032305 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.828851 2023/08/08 18:23:53 - mmengine - INFO - Epoch(train) [142][ 90/529] lr: 5.000000e-04 eta: 3:38:52 time: 0.350484 data_time: 0.032463 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.913775 2023/08/08 18:23:56 - mmengine - INFO - Epoch(train) [142][100/529] lr: 5.000000e-04 eta: 3:38:48 time: 0.357250 data_time: 0.032802 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.903352 2023/08/08 18:24:00 - mmengine - INFO - Epoch(train) [142][110/529] lr: 5.000000e-04 eta: 3:38:45 time: 0.360292 data_time: 0.036301 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.889817 2023/08/08 18:24:04 - mmengine - INFO - Epoch(train) [142][120/529] lr: 5.000000e-04 eta: 3:38:41 time: 0.361578 data_time: 0.035883 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.847291 2023/08/08 18:24:07 - mmengine - INFO - Epoch(train) [142][130/529] lr: 5.000000e-04 eta: 3:38:38 time: 0.363421 data_time: 0.035992 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.871025 2023/08/08 18:24:11 - mmengine - INFO - Epoch(train) [142][140/529] lr: 5.000000e-04 eta: 3:38:34 time: 0.362129 data_time: 0.035789 memory: 4565 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.871479 2023/08/08 18:24:14 - mmengine - INFO - Epoch(train) [142][150/529] lr: 5.000000e-04 eta: 3:38:30 time: 0.359026 data_time: 0.035678 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.889652 2023/08/08 18:24:18 - mmengine - INFO - Epoch(train) [142][160/529] lr: 5.000000e-04 eta: 3:38:27 time: 0.355802 data_time: 0.032102 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.938801 2023/08/08 18:24:21 - mmengine - INFO - Epoch(train) [142][170/529] lr: 5.000000e-04 eta: 3:38:23 time: 0.356347 data_time: 0.033344 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.893874 2023/08/08 18:24:25 - mmengine - INFO - Epoch(train) [142][180/529] lr: 5.000000e-04 eta: 3:38:19 time: 0.354808 data_time: 0.033979 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.924896 2023/08/08 18:24:29 - mmengine - INFO - Epoch(train) [142][190/529] lr: 5.000000e-04 eta: 3:38:16 time: 0.356336 data_time: 0.034522 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.880082 2023/08/08 18:24:32 - mmengine - INFO - Epoch(train) [142][200/529] lr: 5.000000e-04 eta: 3:38:12 time: 0.356039 data_time: 0.035047 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.926157 2023/08/08 18:24:36 - mmengine - INFO - Epoch(train) [142][210/529] lr: 5.000000e-04 eta: 3:38:08 time: 0.357322 data_time: 0.035278 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.919979 2023/08/08 18:24:39 - mmengine - INFO - Epoch(train) [142][220/529] lr: 5.000000e-04 eta: 3:38:05 time: 0.357423 data_time: 0.033993 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.956770 2023/08/08 18:24:43 - mmengine - INFO - Epoch(train) [142][230/529] lr: 5.000000e-04 eta: 3:38:01 time: 0.357980 data_time: 0.033021 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.901537 2023/08/08 18:24:47 - mmengine - INFO - Epoch(train) [142][240/529] lr: 5.000000e-04 eta: 3:37:58 time: 0.358309 data_time: 0.032577 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.907019 2023/08/08 18:24:50 - mmengine - INFO - Epoch(train) [142][250/529] lr: 5.000000e-04 eta: 3:37:54 time: 0.356325 data_time: 0.031871 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.882200 2023/08/08 18:24:54 - mmengine - INFO - Epoch(train) [142][260/529] lr: 5.000000e-04 eta: 3:37:50 time: 0.356749 data_time: 0.031703 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.874837 2023/08/08 18:24:57 - mmengine - INFO - Epoch(train) [142][270/529] lr: 5.000000e-04 eta: 3:37:47 time: 0.360144 data_time: 0.031685 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.872967 2023/08/08 18:25:01 - mmengine - INFO - Epoch(train) [142][280/529] lr: 5.000000e-04 eta: 3:37:43 time: 0.361253 data_time: 0.031883 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.912208 2023/08/08 18:25:05 - mmengine - INFO - Epoch(train) [142][290/529] lr: 5.000000e-04 eta: 3:37:40 time: 0.370715 data_time: 0.031657 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.880469 2023/08/08 18:25:09 - mmengine - INFO - Epoch(train) [142][300/529] lr: 5.000000e-04 eta: 3:37:36 time: 0.378474 data_time: 0.031374 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.892964 2023/08/08 18:25:13 - mmengine - INFO - Epoch(train) [142][310/529] lr: 5.000000e-04 eta: 3:37:33 time: 0.386207 data_time: 0.031158 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.953269 2023/08/08 18:25:17 - mmengine - INFO - Epoch(train) [142][320/529] lr: 5.000000e-04 eta: 3:37:29 time: 0.387877 data_time: 0.031477 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.872783 2023/08/08 18:25:20 - mmengine - INFO - Epoch(train) [142][330/529] lr: 5.000000e-04 eta: 3:37:26 time: 0.389153 data_time: 0.032007 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.896030 2023/08/08 18:25:24 - mmengine - INFO - Epoch(train) [142][340/529] lr: 5.000000e-04 eta: 3:37:22 time: 0.380514 data_time: 0.032585 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.884886 2023/08/08 18:25:28 - mmengine - INFO - Epoch(train) [142][350/529] lr: 5.000000e-04 eta: 3:37:19 time: 0.374422 data_time: 0.033047 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.906048 2023/08/08 18:25:31 - mmengine - INFO - Epoch(train) [142][360/529] lr: 5.000000e-04 eta: 3:37:15 time: 0.366281 data_time: 0.033361 memory: 4565 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.937422 2023/08/08 18:25:35 - mmengine - INFO - Epoch(train) [142][370/529] lr: 5.000000e-04 eta: 3:37:11 time: 0.360260 data_time: 0.032927 memory: 4565 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.907714 2023/08/08 18:25:38 - mmengine - INFO - Epoch(train) [142][380/529] lr: 5.000000e-04 eta: 3:37:08 time: 0.356991 data_time: 0.032372 memory: 4565 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.899005 2023/08/08 18:25:42 - mmengine - INFO - Epoch(train) [142][390/529] lr: 5.000000e-04 eta: 3:37:04 time: 0.358039 data_time: 0.032317 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.936908 2023/08/08 18:25:46 - mmengine - INFO - Epoch(train) [142][400/529] lr: 5.000000e-04 eta: 3:37:01 time: 0.361951 data_time: 0.033227 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.900033 2023/08/08 18:25:49 - mmengine - INFO - Epoch(train) [142][410/529] lr: 5.000000e-04 eta: 3:36:57 time: 0.363519 data_time: 0.033363 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.933265 2023/08/08 18:25:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:25:53 - mmengine - INFO - Epoch(train) [142][420/529] lr: 5.000000e-04 eta: 3:36:54 time: 0.369402 data_time: 0.033827 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.904898 2023/08/08 18:25:57 - mmengine - INFO - Epoch(train) [142][430/529] lr: 5.000000e-04 eta: 3:36:50 time: 0.369805 data_time: 0.034291 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.929172 2023/08/08 18:26:00 - mmengine - INFO - Epoch(train) [142][440/529] lr: 5.000000e-04 eta: 3:36:46 time: 0.368998 data_time: 0.034010 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.896534 2023/08/08 18:26:04 - mmengine - INFO - Epoch(train) [142][450/529] lr: 5.000000e-04 eta: 3:36:43 time: 0.362748 data_time: 0.033041 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.884363 2023/08/08 18:26:08 - mmengine - INFO - Epoch(train) [142][460/529] lr: 5.000000e-04 eta: 3:36:39 time: 0.361982 data_time: 0.033224 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.920773 2023/08/08 18:26:11 - mmengine - INFO - Epoch(train) [142][470/529] lr: 5.000000e-04 eta: 3:36:36 time: 0.361310 data_time: 0.032807 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.900224 2023/08/08 18:26:15 - mmengine - INFO - Epoch(train) [142][480/529] lr: 5.000000e-04 eta: 3:36:32 time: 0.362816 data_time: 0.032985 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.900556 2023/08/08 18:26:19 - mmengine - INFO - Epoch(train) [142][490/529] lr: 5.000000e-04 eta: 3:36:28 time: 0.361009 data_time: 0.033376 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.917518 2023/08/08 18:26:22 - mmengine - INFO - Epoch(train) [142][500/529] lr: 5.000000e-04 eta: 3:36:25 time: 0.362331 data_time: 0.033620 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.883577 2023/08/08 18:26:26 - mmengine - INFO - Epoch(train) [142][510/529] lr: 5.000000e-04 eta: 3:36:21 time: 0.362439 data_time: 0.033286 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.936677 2023/08/08 18:26:29 - mmengine - INFO - Epoch(train) [142][520/529] lr: 5.000000e-04 eta: 3:36:17 time: 0.358489 data_time: 0.033529 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.864355 2023/08/08 18:26:33 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:26:36 - mmengine - INFO - Epoch(train) [143][ 10/529] lr: 5.000000e-04 eta: 3:36:11 time: 0.363727 data_time: 0.038401 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.907342 2023/08/08 18:26:40 - mmengine - INFO - Epoch(train) [143][ 20/529] lr: 5.000000e-04 eta: 3:36:07 time: 0.364854 data_time: 0.038193 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.921295 2023/08/08 18:26:44 - mmengine - INFO - Epoch(train) [143][ 30/529] lr: 5.000000e-04 eta: 3:36:04 time: 0.368820 data_time: 0.038336 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.839204 2023/08/08 18:26:47 - mmengine - INFO - Epoch(train) [143][ 40/529] lr: 5.000000e-04 eta: 3:36:00 time: 0.368097 data_time: 0.038027 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.930157 2023/08/08 18:26:51 - mmengine - INFO - Epoch(train) [143][ 50/529] lr: 5.000000e-04 eta: 3:35:56 time: 0.368359 data_time: 0.037331 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.922373 2023/08/08 18:26:55 - mmengine - INFO - Epoch(train) [143][ 60/529] lr: 5.000000e-04 eta: 3:35:53 time: 0.363928 data_time: 0.032165 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.891021 2023/08/08 18:26:58 - mmengine - INFO - Epoch(train) [143][ 70/529] lr: 5.000000e-04 eta: 3:35:49 time: 0.365520 data_time: 0.032167 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.941900 2023/08/08 18:27:02 - mmengine - INFO - Epoch(train) [143][ 80/529] lr: 5.000000e-04 eta: 3:35:46 time: 0.363699 data_time: 0.032078 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.936794 2023/08/08 18:27:06 - mmengine - INFO - Epoch(train) [143][ 90/529] lr: 5.000000e-04 eta: 3:35:42 time: 0.365386 data_time: 0.032283 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.904280 2023/08/08 18:27:09 - mmengine - INFO - Epoch(train) [143][100/529] lr: 5.000000e-04 eta: 3:35:38 time: 0.363320 data_time: 0.032553 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.962568 2023/08/08 18:27:13 - mmengine - INFO - Epoch(train) [143][110/529] lr: 5.000000e-04 eta: 3:35:35 time: 0.361892 data_time: 0.032326 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.904455 2023/08/08 18:27:16 - mmengine - INFO - Epoch(train) [143][120/529] lr: 5.000000e-04 eta: 3:35:31 time: 0.357031 data_time: 0.032078 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.953137 2023/08/08 18:27:20 - mmengine - INFO - Epoch(train) [143][130/529] lr: 5.000000e-04 eta: 3:35:27 time: 0.355102 data_time: 0.032135 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.920069 2023/08/08 18:27:23 - mmengine - INFO - Epoch(train) [143][140/529] lr: 5.000000e-04 eta: 3:35:24 time: 0.356347 data_time: 0.032456 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.913312 2023/08/08 18:27:27 - mmengine - INFO - Epoch(train) [143][150/529] lr: 5.000000e-04 eta: 3:35:20 time: 0.357063 data_time: 0.032411 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.945068 2023/08/08 18:27:31 - mmengine - INFO - Epoch(train) [143][160/529] lr: 5.000000e-04 eta: 3:35:17 time: 0.358064 data_time: 0.032263 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.901038 2023/08/08 18:27:34 - mmengine - INFO - Epoch(train) [143][170/529] lr: 5.000000e-04 eta: 3:35:13 time: 0.359087 data_time: 0.032130 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.956606 2023/08/08 18:27:38 - mmengine - INFO - Epoch(train) [143][180/529] lr: 5.000000e-04 eta: 3:35:09 time: 0.357478 data_time: 0.031789 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.926171 2023/08/08 18:27:41 - mmengine - INFO - Epoch(train) [143][190/529] lr: 5.000000e-04 eta: 3:35:06 time: 0.354611 data_time: 0.031274 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.936231 2023/08/08 18:27:45 - mmengine - INFO - Epoch(train) [143][200/529] lr: 5.000000e-04 eta: 3:35:02 time: 0.355072 data_time: 0.031420 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.874810 2023/08/08 18:27:49 - mmengine - INFO - Epoch(train) [143][210/529] lr: 5.000000e-04 eta: 3:34:59 time: 0.359153 data_time: 0.032270 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.869060 2023/08/08 18:27:53 - mmengine - INFO - Epoch(train) [143][220/529] lr: 5.000000e-04 eta: 3:34:55 time: 0.368725 data_time: 0.033000 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.925954 2023/08/08 18:27:56 - mmengine - INFO - Epoch(train) [143][230/529] lr: 5.000000e-04 eta: 3:34:52 time: 0.368949 data_time: 0.033936 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.913610 2023/08/08 18:28:00 - mmengine - INFO - Epoch(train) [143][240/529] lr: 5.000000e-04 eta: 3:34:48 time: 0.368875 data_time: 0.034036 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.882541 2023/08/08 18:28:03 - mmengine - INFO - Epoch(train) [143][250/529] lr: 5.000000e-04 eta: 3:34:44 time: 0.366803 data_time: 0.033808 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.907543 2023/08/08 18:28:07 - mmengine - INFO - Epoch(train) [143][260/529] lr: 5.000000e-04 eta: 3:34:41 time: 0.363172 data_time: 0.033332 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.892131 2023/08/08 18:28:10 - mmengine - INFO - Epoch(train) [143][270/529] lr: 5.000000e-04 eta: 3:34:37 time: 0.354793 data_time: 0.033283 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.914820 2023/08/08 18:28:14 - mmengine - INFO - Epoch(train) [143][280/529] lr: 5.000000e-04 eta: 3:34:34 time: 0.362492 data_time: 0.032820 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.931683 2023/08/08 18:28:18 - mmengine - INFO - Epoch(train) [143][290/529] lr: 5.000000e-04 eta: 3:34:30 time: 0.367737 data_time: 0.033414 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.927214 2023/08/08 18:28:22 - mmengine - INFO - Epoch(train) [143][300/529] lr: 5.000000e-04 eta: 3:34:27 time: 0.374915 data_time: 0.033749 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.925565 2023/08/08 18:28:26 - mmengine - INFO - Epoch(train) [143][310/529] lr: 5.000000e-04 eta: 3:34:23 time: 0.376712 data_time: 0.036907 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.875063 2023/08/08 18:28:29 - mmengine - INFO - Epoch(train) [143][320/529] lr: 5.000000e-04 eta: 3:34:19 time: 0.374811 data_time: 0.036341 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.895480 2023/08/08 18:28:33 - mmengine - INFO - Epoch(train) [143][330/529] lr: 5.000000e-04 eta: 3:34:16 time: 0.367547 data_time: 0.036125 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.843512 2023/08/08 18:28:36 - mmengine - INFO - Epoch(train) [143][340/529] lr: 5.000000e-04 eta: 3:34:12 time: 0.365926 data_time: 0.035481 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.934025 2023/08/08 18:28:40 - mmengine - INFO - Epoch(train) [143][350/529] lr: 5.000000e-04 eta: 3:34:08 time: 0.359804 data_time: 0.035054 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.892366 2023/08/08 18:28:44 - mmengine - INFO - Epoch(train) [143][360/529] lr: 5.000000e-04 eta: 3:34:05 time: 0.357928 data_time: 0.031883 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.939062 2023/08/08 18:28:47 - mmengine - INFO - Epoch(train) [143][370/529] lr: 5.000000e-04 eta: 3:34:01 time: 0.361420 data_time: 0.032384 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.895702 2023/08/08 18:28:51 - mmengine - INFO - Epoch(train) [143][380/529] lr: 5.000000e-04 eta: 3:33:58 time: 0.360708 data_time: 0.032258 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.933840 2023/08/08 18:28:54 - mmengine - INFO - Epoch(train) [143][390/529] lr: 5.000000e-04 eta: 3:33:54 time: 0.356918 data_time: 0.032357 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.911807 2023/08/08 18:28:58 - mmengine - INFO - Epoch(train) [143][400/529] lr: 5.000000e-04 eta: 3:33:50 time: 0.358633 data_time: 0.033115 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.939661 2023/08/08 18:29:01 - mmengine - INFO - Epoch(train) [143][410/529] lr: 5.000000e-04 eta: 3:33:47 time: 0.358154 data_time: 0.033003 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.898296 2023/08/08 18:29:05 - mmengine - INFO - Epoch(train) [143][420/529] lr: 5.000000e-04 eta: 3:33:43 time: 0.355832 data_time: 0.033225 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.922840 2023/08/08 18:29:09 - mmengine - INFO - Epoch(train) [143][430/529] lr: 5.000000e-04 eta: 3:33:40 time: 0.356783 data_time: 0.033133 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.838608 2023/08/08 18:29:12 - mmengine - INFO - Epoch(train) [143][440/529] lr: 5.000000e-04 eta: 3:33:36 time: 0.357007 data_time: 0.033217 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.857373 2023/08/08 18:29:16 - mmengine - INFO - Epoch(train) [143][450/529] lr: 5.000000e-04 eta: 3:33:32 time: 0.355566 data_time: 0.032874 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.931386 2023/08/08 18:29:19 - mmengine - INFO - Epoch(train) [143][460/529] lr: 5.000000e-04 eta: 3:33:29 time: 0.358378 data_time: 0.033313 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.912419 2023/08/08 18:29:23 - mmengine - INFO - Epoch(train) [143][470/529] lr: 5.000000e-04 eta: 3:33:25 time: 0.359137 data_time: 0.033066 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.919447 2023/08/08 18:29:27 - mmengine - INFO - Epoch(train) [143][480/529] lr: 5.000000e-04 eta: 3:33:22 time: 0.366183 data_time: 0.032997 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.922114 2023/08/08 18:29:31 - mmengine - INFO - Epoch(train) [143][490/529] lr: 5.000000e-04 eta: 3:33:18 time: 0.370558 data_time: 0.033164 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.924435 2023/08/08 18:29:34 - mmengine - INFO - Epoch(train) [143][500/529] lr: 5.000000e-04 eta: 3:33:14 time: 0.369582 data_time: 0.032957 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.940557 2023/08/08 18:29:38 - mmengine - INFO - Epoch(train) [143][510/529] lr: 5.000000e-04 eta: 3:33:11 time: 0.369854 data_time: 0.036414 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.932895 2023/08/08 18:29:42 - mmengine - INFO - Epoch(train) [143][520/529] lr: 5.000000e-04 eta: 3:33:07 time: 0.370955 data_time: 0.036480 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.875411 2023/08/08 18:29:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:29:48 - mmengine - INFO - Epoch(train) [144][ 10/529] lr: 5.000000e-04 eta: 3:33:00 time: 0.361469 data_time: 0.040443 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.916183 2023/08/08 18:29:52 - mmengine - INFO - Epoch(train) [144][ 20/529] lr: 5.000000e-04 eta: 3:32:57 time: 0.360269 data_time: 0.040352 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.917143 2023/08/08 18:29:55 - mmengine - INFO - Epoch(train) [144][ 30/529] lr: 5.000000e-04 eta: 3:32:53 time: 0.356652 data_time: 0.036469 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.870833 2023/08/08 18:29:59 - mmengine - INFO - Epoch(train) [144][ 40/529] lr: 5.000000e-04 eta: 3:32:49 time: 0.352208 data_time: 0.035808 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.929326 2023/08/08 18:30:02 - mmengine - INFO - Epoch(train) [144][ 50/529] lr: 5.000000e-04 eta: 3:32:46 time: 0.351677 data_time: 0.035942 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.893184 2023/08/08 18:30:06 - mmengine - INFO - Epoch(train) [144][ 60/529] lr: 5.000000e-04 eta: 3:32:42 time: 0.347130 data_time: 0.031844 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.903076 2023/08/08 18:30:09 - mmengine - INFO - Epoch(train) [144][ 70/529] lr: 5.000000e-04 eta: 3:32:38 time: 0.346487 data_time: 0.031787 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.938604 2023/08/08 18:30:13 - mmengine - INFO - Epoch(train) [144][ 80/529] lr: 5.000000e-04 eta: 3:32:35 time: 0.345901 data_time: 0.031665 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.946125 2023/08/08 18:30:16 - mmengine - INFO - Epoch(train) [144][ 90/529] lr: 5.000000e-04 eta: 3:32:31 time: 0.345524 data_time: 0.031465 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.916813 2023/08/08 18:30:20 - mmengine - INFO - Epoch(train) [144][100/529] lr: 5.000000e-04 eta: 3:32:27 time: 0.347603 data_time: 0.031582 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.860563 2023/08/08 18:30:23 - mmengine - INFO - Epoch(train) [144][110/529] lr: 5.000000e-04 eta: 3:32:24 time: 0.346432 data_time: 0.031447 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.909726 2023/08/08 18:30:26 - mmengine - INFO - Epoch(train) [144][120/529] lr: 5.000000e-04 eta: 3:32:20 time: 0.345041 data_time: 0.031201 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.928480 2023/08/08 18:30:30 - mmengine - INFO - Epoch(train) [144][130/529] lr: 5.000000e-04 eta: 3:32:16 time: 0.343784 data_time: 0.031084 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.899152 2023/08/08 18:30:34 - mmengine - INFO - Epoch(train) [144][140/529] lr: 5.000000e-04 eta: 3:32:13 time: 0.347232 data_time: 0.031106 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.868362 2023/08/08 18:30:37 - mmengine - INFO - Epoch(train) [144][150/529] lr: 5.000000e-04 eta: 3:32:09 time: 0.350640 data_time: 0.034754 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.921147 2023/08/08 18:30:41 - mmengine - INFO - Epoch(train) [144][160/529] lr: 5.000000e-04 eta: 3:32:05 time: 0.351176 data_time: 0.034876 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.876891 2023/08/08 18:30:44 - mmengine - INFO - Epoch(train) [144][170/529] lr: 5.000000e-04 eta: 3:32:02 time: 0.353197 data_time: 0.035283 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.876573 2023/08/08 18:30:48 - mmengine - INFO - Epoch(train) [144][180/529] lr: 5.000000e-04 eta: 3:31:58 time: 0.354042 data_time: 0.035255 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.912266 2023/08/08 18:30:51 - mmengine - INFO - Epoch(train) [144][190/529] lr: 5.000000e-04 eta: 3:31:54 time: 0.351269 data_time: 0.035314 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.893477 2023/08/08 18:30:55 - mmengine - INFO - Epoch(train) [144][200/529] lr: 5.000000e-04 eta: 3:31:51 time: 0.346384 data_time: 0.031753 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.914430 2023/08/08 18:30:58 - mmengine - INFO - Epoch(train) [144][210/529] lr: 5.000000e-04 eta: 3:31:47 time: 0.347823 data_time: 0.031947 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.899102 2023/08/08 18:31:02 - mmengine - INFO - Epoch(train) [144][220/529] lr: 5.000000e-04 eta: 3:31:43 time: 0.348260 data_time: 0.032599 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.925783 2023/08/08 18:31:05 - mmengine - INFO - Epoch(train) [144][230/529] lr: 5.000000e-04 eta: 3:31:40 time: 0.349909 data_time: 0.033094 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.837765 2023/08/08 18:31:09 - mmengine - INFO - Epoch(train) [144][240/529] lr: 5.000000e-04 eta: 3:31:36 time: 0.352335 data_time: 0.033751 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.890217 2023/08/08 18:31:12 - mmengine - INFO - Epoch(train) [144][250/529] lr: 5.000000e-04 eta: 3:31:33 time: 0.353375 data_time: 0.033484 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.872763 2023/08/08 18:31:16 - mmengine - INFO - Epoch(train) [144][260/529] lr: 5.000000e-04 eta: 3:31:29 time: 0.355135 data_time: 0.033311 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.881349 2023/08/08 18:31:20 - mmengine - INFO - Epoch(train) [144][270/529] lr: 5.000000e-04 eta: 3:31:25 time: 0.358721 data_time: 0.032892 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.894025 2023/08/08 18:31:23 - mmengine - INFO - Epoch(train) [144][280/529] lr: 5.000000e-04 eta: 3:31:22 time: 0.360432 data_time: 0.033339 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.921097 2023/08/08 18:31:27 - mmengine - INFO - Epoch(train) [144][290/529] lr: 5.000000e-04 eta: 3:31:18 time: 0.371235 data_time: 0.032671 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.900409 2023/08/08 18:31:31 - mmengine - INFO - Epoch(train) [144][300/529] lr: 5.000000e-04 eta: 3:31:15 time: 0.377553 data_time: 0.032705 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.882700 2023/08/08 18:31:35 - mmengine - INFO - Epoch(train) [144][310/529] lr: 5.000000e-04 eta: 3:31:11 time: 0.377765 data_time: 0.033311 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.892892 2023/08/08 18:31:38 - mmengine - INFO - Epoch(train) [144][320/529] lr: 5.000000e-04 eta: 3:31:08 time: 0.374373 data_time: 0.033367 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.837969 2023/08/08 18:31:42 - mmengine - INFO - Epoch(train) [144][330/529] lr: 5.000000e-04 eta: 3:31:04 time: 0.371851 data_time: 0.032656 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.937500 2023/08/08 18:31:45 - mmengine - INFO - Epoch(train) [144][340/529] lr: 5.000000e-04 eta: 3:31:00 time: 0.360614 data_time: 0.032746 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.907440 2023/08/08 18:31:49 - mmengine - INFO - Epoch(train) [144][350/529] lr: 5.000000e-04 eta: 3:30:57 time: 0.355899 data_time: 0.032793 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.960238 2023/08/08 18:31:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:31:53 - mmengine - INFO - Epoch(train) [144][360/529] lr: 5.000000e-04 eta: 3:30:53 time: 0.361105 data_time: 0.032463 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.889825 2023/08/08 18:31:56 - mmengine - INFO - Epoch(train) [144][370/529] lr: 5.000000e-04 eta: 3:30:50 time: 0.361547 data_time: 0.032082 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.929151 2023/08/08 18:32:00 - mmengine - INFO - Epoch(train) [144][380/529] lr: 5.000000e-04 eta: 3:30:46 time: 0.365588 data_time: 0.035674 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.892276 2023/08/08 18:32:04 - mmengine - INFO - Epoch(train) [144][390/529] lr: 5.000000e-04 eta: 3:30:42 time: 0.364596 data_time: 0.035602 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.848955 2023/08/08 18:32:07 - mmengine - INFO - Epoch(train) [144][400/529] lr: 5.000000e-04 eta: 3:30:39 time: 0.362548 data_time: 0.035619 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.882040 2023/08/08 18:32:11 - mmengine - INFO - Epoch(train) [144][410/529] lr: 5.000000e-04 eta: 3:30:35 time: 0.360461 data_time: 0.035677 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.948048 2023/08/08 18:32:14 - mmengine - INFO - Epoch(train) [144][420/529] lr: 5.000000e-04 eta: 3:30:32 time: 0.362047 data_time: 0.036471 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.894219 2023/08/08 18:32:18 - mmengine - INFO - Epoch(train) [144][430/529] lr: 5.000000e-04 eta: 3:30:28 time: 0.358548 data_time: 0.032943 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.918587 2023/08/08 18:32:22 - mmengine - INFO - Epoch(train) [144][440/529] lr: 5.000000e-04 eta: 3:30:24 time: 0.364831 data_time: 0.033205 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.929395 2023/08/08 18:32:25 - mmengine - INFO - Epoch(train) [144][450/529] lr: 5.000000e-04 eta: 3:30:21 time: 0.365707 data_time: 0.033701 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.853506 2023/08/08 18:32:29 - mmengine - INFO - Epoch(train) [144][460/529] lr: 5.000000e-04 eta: 3:30:17 time: 0.361401 data_time: 0.033633 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.874399 2023/08/08 18:32:32 - mmengine - INFO - Epoch(train) [144][470/529] lr: 5.000000e-04 eta: 3:30:14 time: 0.359431 data_time: 0.032505 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.944985 2023/08/08 18:32:36 - mmengine - INFO - Epoch(train) [144][480/529] lr: 5.000000e-04 eta: 3:30:10 time: 0.360484 data_time: 0.032328 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.831250 2023/08/08 18:32:40 - mmengine - INFO - Epoch(train) [144][490/529] lr: 5.000000e-04 eta: 3:30:06 time: 0.356300 data_time: 0.031997 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.879787 2023/08/08 18:32:43 - mmengine - INFO - Epoch(train) [144][500/529] lr: 5.000000e-04 eta: 3:30:03 time: 0.356985 data_time: 0.031291 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.918400 2023/08/08 18:32:47 - mmengine - INFO - Epoch(train) [144][510/529] lr: 5.000000e-04 eta: 3:29:59 time: 0.360287 data_time: 0.031802 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.932152 2023/08/08 18:32:51 - mmengine - INFO - Epoch(train) [144][520/529] lr: 5.000000e-04 eta: 3:29:56 time: 0.360824 data_time: 0.032098 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.888266 2023/08/08 18:32:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:32:57 - mmengine - INFO - Epoch(train) [145][ 10/529] lr: 5.000000e-04 eta: 3:29:49 time: 0.358866 data_time: 0.035654 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.876332 2023/08/08 18:33:01 - mmengine - INFO - Epoch(train) [145][ 20/529] lr: 5.000000e-04 eta: 3:29:45 time: 0.357096 data_time: 0.035959 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.928158 2023/08/08 18:33:04 - mmengine - INFO - Epoch(train) [145][ 30/529] lr: 5.000000e-04 eta: 3:29:41 time: 0.354749 data_time: 0.036079 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.866950 2023/08/08 18:33:08 - mmengine - INFO - Epoch(train) [145][ 40/529] lr: 5.000000e-04 eta: 3:29:38 time: 0.351783 data_time: 0.035480 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.848171 2023/08/08 18:33:11 - mmengine - INFO - Epoch(train) [145][ 50/529] lr: 5.000000e-04 eta: 3:29:34 time: 0.354758 data_time: 0.036107 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.896999 2023/08/08 18:33:15 - mmengine - INFO - Epoch(train) [145][ 60/529] lr: 5.000000e-04 eta: 3:29:30 time: 0.350203 data_time: 0.032378 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.914083 2023/08/08 18:33:18 - mmengine - INFO - Epoch(train) [145][ 70/529] lr: 5.000000e-04 eta: 3:29:27 time: 0.350499 data_time: 0.032377 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.912902 2023/08/08 18:33:22 - mmengine - INFO - Epoch(train) [145][ 80/529] lr: 5.000000e-04 eta: 3:29:23 time: 0.348443 data_time: 0.032281 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.862693 2023/08/08 18:33:25 - mmengine - INFO - Epoch(train) [145][ 90/529] lr: 5.000000e-04 eta: 3:29:19 time: 0.353861 data_time: 0.033289 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.926198 2023/08/08 18:33:29 - mmengine - INFO - Epoch(train) [145][100/529] lr: 5.000000e-04 eta: 3:29:16 time: 0.352014 data_time: 0.033562 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.838602 2023/08/08 18:33:32 - mmengine - INFO - Epoch(train) [145][110/529] lr: 5.000000e-04 eta: 3:29:12 time: 0.352746 data_time: 0.033783 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.877380 2023/08/08 18:33:36 - mmengine - INFO - Epoch(train) [145][120/529] lr: 5.000000e-04 eta: 3:29:09 time: 0.360018 data_time: 0.034133 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.937384 2023/08/08 18:33:40 - mmengine - INFO - Epoch(train) [145][130/529] lr: 5.000000e-04 eta: 3:29:05 time: 0.363638 data_time: 0.033953 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.927821 2023/08/08 18:33:43 - mmengine - INFO - Epoch(train) [145][140/529] lr: 5.000000e-04 eta: 3:29:01 time: 0.358501 data_time: 0.032982 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.846988 2023/08/08 18:33:47 - mmengine - INFO - Epoch(train) [145][150/529] lr: 5.000000e-04 eta: 3:28:58 time: 0.358615 data_time: 0.032430 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.921065 2023/08/08 18:33:50 - mmengine - INFO - Epoch(train) [145][160/529] lr: 5.000000e-04 eta: 3:28:54 time: 0.359823 data_time: 0.031909 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.873669 2023/08/08 18:33:54 - mmengine - INFO - Epoch(train) [145][170/529] lr: 5.000000e-04 eta: 3:28:50 time: 0.352608 data_time: 0.031553 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.917181 2023/08/08 18:33:57 - mmengine - INFO - Epoch(train) [145][180/529] lr: 5.000000e-04 eta: 3:28:47 time: 0.349402 data_time: 0.031392 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.901336 2023/08/08 18:34:01 - mmengine - INFO - Epoch(train) [145][190/529] lr: 5.000000e-04 eta: 3:28:43 time: 0.351361 data_time: 0.031768 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.931599 2023/08/08 18:34:05 - mmengine - INFO - Epoch(train) [145][200/529] lr: 5.000000e-04 eta: 3:28:40 time: 0.355053 data_time: 0.032305 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.885554 2023/08/08 18:34:08 - mmengine - INFO - Epoch(train) [145][210/529] lr: 5.000000e-04 eta: 3:28:36 time: 0.353036 data_time: 0.032368 memory: 4565 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.834768 2023/08/08 18:34:12 - mmengine - INFO - Epoch(train) [145][220/529] lr: 5.000000e-04 eta: 3:28:32 time: 0.351483 data_time: 0.032002 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.919842 2023/08/08 18:34:15 - mmengine - INFO - Epoch(train) [145][230/529] lr: 5.000000e-04 eta: 3:28:29 time: 0.351776 data_time: 0.032194 memory: 4565 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.894626 2023/08/08 18:34:19 - mmengine - INFO - Epoch(train) [145][240/529] lr: 5.000000e-04 eta: 3:28:25 time: 0.352336 data_time: 0.032072 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.859237 2023/08/08 18:34:22 - mmengine - INFO - Epoch(train) [145][250/529] lr: 5.000000e-04 eta: 3:28:21 time: 0.351852 data_time: 0.031902 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.886016 2023/08/08 18:34:26 - mmengine - INFO - Epoch(train) [145][260/529] lr: 5.000000e-04 eta: 3:28:18 time: 0.354761 data_time: 0.032865 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.928933 2023/08/08 18:34:30 - mmengine - INFO - Epoch(train) [145][270/529] lr: 5.000000e-04 eta: 3:28:14 time: 0.358824 data_time: 0.033599 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.888897 2023/08/08 18:34:33 - mmengine - INFO - Epoch(train) [145][280/529] lr: 5.000000e-04 eta: 3:28:11 time: 0.363107 data_time: 0.034562 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.885503 2023/08/08 18:34:37 - mmengine - INFO - Epoch(train) [145][290/529] lr: 5.000000e-04 eta: 3:28:07 time: 0.361035 data_time: 0.035253 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.850806 2023/08/08 18:34:40 - mmengine - INFO - Epoch(train) [145][300/529] lr: 5.000000e-04 eta: 3:28:03 time: 0.362360 data_time: 0.038897 memory: 4565 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.852656 2023/08/08 18:34:44 - mmengine - INFO - Epoch(train) [145][310/529] lr: 5.000000e-04 eta: 3:28:00 time: 0.362250 data_time: 0.037891 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.919458 2023/08/08 18:34:48 - mmengine - INFO - Epoch(train) [145][320/529] lr: 5.000000e-04 eta: 3:27:56 time: 0.361508 data_time: 0.037818 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.950500 2023/08/08 18:34:51 - mmengine - INFO - Epoch(train) [145][330/529] lr: 5.000000e-04 eta: 3:27:52 time: 0.357497 data_time: 0.036888 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.901644 2023/08/08 18:34:55 - mmengine - INFO - Epoch(train) [145][340/529] lr: 5.000000e-04 eta: 3:27:49 time: 0.361263 data_time: 0.035837 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.869699 2023/08/08 18:34:58 - mmengine - INFO - Epoch(train) [145][350/529] lr: 5.000000e-04 eta: 3:27:45 time: 0.360888 data_time: 0.031852 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.933059 2023/08/08 18:35:02 - mmengine - INFO - Epoch(train) [145][360/529] lr: 5.000000e-04 eta: 3:27:42 time: 0.362025 data_time: 0.031905 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.927386 2023/08/08 18:35:06 - mmengine - INFO - Epoch(train) [145][370/529] lr: 5.000000e-04 eta: 3:27:38 time: 0.366469 data_time: 0.031507 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.904226 2023/08/08 18:35:09 - mmengine - INFO - Epoch(train) [145][380/529] lr: 5.000000e-04 eta: 3:27:35 time: 0.366461 data_time: 0.031271 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.883745 2023/08/08 18:35:13 - mmengine - INFO - Epoch(train) [145][390/529] lr: 5.000000e-04 eta: 3:27:31 time: 0.363490 data_time: 0.031613 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.883293 2023/08/08 18:35:16 - mmengine - INFO - Epoch(train) [145][400/529] lr: 5.000000e-04 eta: 3:27:27 time: 0.358325 data_time: 0.031585 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.860269 2023/08/08 18:35:20 - mmengine - INFO - Epoch(train) [145][410/529] lr: 5.000000e-04 eta: 3:27:24 time: 0.356973 data_time: 0.031932 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.920753 2023/08/08 18:35:23 - mmengine - INFO - Epoch(train) [145][420/529] lr: 5.000000e-04 eta: 3:27:20 time: 0.350705 data_time: 0.031756 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.914399 2023/08/08 18:35:27 - mmengine - INFO - Epoch(train) [145][430/529] lr: 5.000000e-04 eta: 3:27:16 time: 0.353214 data_time: 0.031685 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.861639 2023/08/08 18:35:31 - mmengine - INFO - Epoch(train) [145][440/529] lr: 5.000000e-04 eta: 3:27:13 time: 0.353724 data_time: 0.032081 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.851161 2023/08/08 18:35:34 - mmengine - INFO - Epoch(train) [145][450/529] lr: 5.000000e-04 eta: 3:27:09 time: 0.359976 data_time: 0.032435 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.923829 2023/08/08 18:35:38 - mmengine - INFO - Epoch(train) [145][460/529] lr: 5.000000e-04 eta: 3:27:06 time: 0.359935 data_time: 0.032263 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.898377 2023/08/08 18:35:41 - mmengine - INFO - Epoch(train) [145][470/529] lr: 5.000000e-04 eta: 3:27:02 time: 0.359471 data_time: 0.032301 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.936601 2023/08/08 18:35:45 - mmengine - INFO - Epoch(train) [145][480/529] lr: 5.000000e-04 eta: 3:26:58 time: 0.357300 data_time: 0.032457 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.854245 2023/08/08 18:35:49 - mmengine - INFO - Epoch(train) [145][490/529] lr: 5.000000e-04 eta: 3:26:55 time: 0.360268 data_time: 0.032090 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.867163 2023/08/08 18:35:52 - mmengine - INFO - Epoch(train) [145][500/529] lr: 5.000000e-04 eta: 3:26:51 time: 0.361336 data_time: 0.032046 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.925802 2023/08/08 18:35:56 - mmengine - INFO - Epoch(train) [145][510/529] lr: 5.000000e-04 eta: 3:26:48 time: 0.361854 data_time: 0.032543 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.916852 2023/08/08 18:36:00 - mmengine - INFO - Epoch(train) [145][520/529] lr: 5.000000e-04 eta: 3:26:44 time: 0.363077 data_time: 0.032884 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.928115 2023/08/08 18:36:03 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:36:07 - mmengine - INFO - Epoch(train) [146][ 10/529] lr: 5.000000e-04 eta: 3:26:37 time: 0.366088 data_time: 0.036934 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.894111 2023/08/08 18:36:10 - mmengine - INFO - Epoch(train) [146][ 20/529] lr: 5.000000e-04 eta: 3:26:33 time: 0.360455 data_time: 0.036563 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.937383 2023/08/08 18:36:14 - mmengine - INFO - Epoch(train) [146][ 30/529] lr: 5.000000e-04 eta: 3:26:30 time: 0.361600 data_time: 0.036716 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.904801 2023/08/08 18:36:17 - mmengine - INFO - Epoch(train) [146][ 40/529] lr: 5.000000e-04 eta: 3:26:26 time: 0.360467 data_time: 0.036513 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.883601 2023/08/08 18:36:21 - mmengine - INFO - Epoch(train) [146][ 50/529] lr: 5.000000e-04 eta: 3:26:23 time: 0.357486 data_time: 0.036213 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.921689 2023/08/08 18:36:24 - mmengine - INFO - Epoch(train) [146][ 60/529] lr: 5.000000e-04 eta: 3:26:19 time: 0.354076 data_time: 0.032710 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.913820 2023/08/08 18:36:28 - mmengine - INFO - Epoch(train) [146][ 70/529] lr: 5.000000e-04 eta: 3:26:15 time: 0.362162 data_time: 0.033235 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.910225 2023/08/08 18:36:32 - mmengine - INFO - Epoch(train) [146][ 80/529] lr: 5.000000e-04 eta: 3:26:12 time: 0.368553 data_time: 0.032422 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.945350 2023/08/08 18:36:36 - mmengine - INFO - Epoch(train) [146][ 90/529] lr: 5.000000e-04 eta: 3:26:09 time: 0.375478 data_time: 0.032086 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.927679 2023/08/08 18:36:40 - mmengine - INFO - Epoch(train) [146][100/529] lr: 5.000000e-04 eta: 3:26:05 time: 0.374517 data_time: 0.032017 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.926517 2023/08/08 18:36:43 - mmengine - INFO - Epoch(train) [146][110/529] lr: 5.000000e-04 eta: 3:26:01 time: 0.374985 data_time: 0.032050 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.891705 2023/08/08 18:36:47 - mmengine - INFO - Epoch(train) [146][120/529] lr: 5.000000e-04 eta: 3:25:58 time: 0.368383 data_time: 0.032288 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.922785 2023/08/08 18:36:50 - mmengine - INFO - Epoch(train) [146][130/529] lr: 5.000000e-04 eta: 3:25:54 time: 0.362306 data_time: 0.033009 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.893070 2023/08/08 18:36:54 - mmengine - INFO - Epoch(train) [146][140/529] lr: 5.000000e-04 eta: 3:25:50 time: 0.358289 data_time: 0.037071 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.926455 2023/08/08 18:36:57 - mmengine - INFO - Epoch(train) [146][150/529] lr: 5.000000e-04 eta: 3:25:47 time: 0.358130 data_time: 0.036964 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.962994 2023/08/08 18:37:01 - mmengine - INFO - Epoch(train) [146][160/529] lr: 5.000000e-04 eta: 3:25:43 time: 0.360111 data_time: 0.039975 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.940025 2023/08/08 18:37:05 - mmengine - INFO - Epoch(train) [146][170/529] lr: 5.000000e-04 eta: 3:25:40 time: 0.356074 data_time: 0.039395 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.897096 2023/08/08 18:37:08 - mmengine - INFO - Epoch(train) [146][180/529] lr: 5.000000e-04 eta: 3:25:36 time: 0.354029 data_time: 0.039888 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.914993 2023/08/08 18:37:12 - mmengine - INFO - Epoch(train) [146][190/529] lr: 5.000000e-04 eta: 3:25:32 time: 0.350864 data_time: 0.035825 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.964036 2023/08/08 18:37:15 - mmengine - INFO - Epoch(train) [146][200/529] lr: 5.000000e-04 eta: 3:25:29 time: 0.353896 data_time: 0.036235 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.898474 2023/08/08 18:37:19 - mmengine - INFO - Epoch(train) [146][210/529] lr: 5.000000e-04 eta: 3:25:25 time: 0.354678 data_time: 0.032741 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.896596 2023/08/08 18:37:23 - mmengine - INFO - Epoch(train) [146][220/529] lr: 5.000000e-04 eta: 3:25:21 time: 0.358657 data_time: 0.033186 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.960215 2023/08/08 18:37:26 - mmengine - INFO - Epoch(train) [146][230/529] lr: 5.000000e-04 eta: 3:25:18 time: 0.367053 data_time: 0.032672 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.945490 2023/08/08 18:37:30 - mmengine - INFO - Epoch(train) [146][240/529] lr: 5.000000e-04 eta: 3:25:14 time: 0.369265 data_time: 0.033107 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.928019 2023/08/08 18:37:34 - mmengine - INFO - Epoch(train) [146][250/529] lr: 5.000000e-04 eta: 3:25:11 time: 0.368746 data_time: 0.033499 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.902579 2023/08/08 18:37:37 - mmengine - INFO - Epoch(train) [146][260/529] lr: 5.000000e-04 eta: 3:25:07 time: 0.364866 data_time: 0.033805 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.921803 2023/08/08 18:37:41 - mmengine - INFO - Epoch(train) [146][270/529] lr: 5.000000e-04 eta: 3:25:03 time: 0.362210 data_time: 0.033685 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.883044 2023/08/08 18:37:44 - mmengine - INFO - Epoch(train) [146][280/529] lr: 5.000000e-04 eta: 3:25:00 time: 0.351860 data_time: 0.032896 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.897973 2023/08/08 18:37:48 - mmengine - INFO - Epoch(train) [146][290/529] lr: 5.000000e-04 eta: 3:24:56 time: 0.349356 data_time: 0.033076 memory: 4565 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.944600 2023/08/08 18:37:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:37:51 - mmengine - INFO - Epoch(train) [146][300/529] lr: 5.000000e-04 eta: 3:24:52 time: 0.347737 data_time: 0.032395 memory: 4565 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.941386 2023/08/08 18:37:55 - mmengine - INFO - Epoch(train) [146][310/529] lr: 5.000000e-04 eta: 3:24:49 time: 0.350201 data_time: 0.032274 memory: 4565 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.929166 2023/08/08 18:37:58 - mmengine - INFO - Epoch(train) [146][320/529] lr: 5.000000e-04 eta: 3:24:45 time: 0.354262 data_time: 0.032207 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.915491 2023/08/08 18:38:02 - mmengine - INFO - Epoch(train) [146][330/529] lr: 5.000000e-04 eta: 3:24:42 time: 0.355227 data_time: 0.032325 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.918883 2023/08/08 18:38:05 - mmengine - INFO - Epoch(train) [146][340/529] lr: 5.000000e-04 eta: 3:24:38 time: 0.357827 data_time: 0.031963 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.917317 2023/08/08 18:38:09 - mmengine - INFO - Epoch(train) [146][350/529] lr: 5.000000e-04 eta: 3:24:35 time: 0.366333 data_time: 0.032497 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.913629 2023/08/08 18:38:13 - mmengine - INFO - Epoch(train) [146][360/529] lr: 5.000000e-04 eta: 3:24:31 time: 0.372216 data_time: 0.032495 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.912726 2023/08/08 18:38:17 - mmengine - INFO - Epoch(train) [146][370/529] lr: 5.000000e-04 eta: 3:24:28 time: 0.374474 data_time: 0.032437 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.945356 2023/08/08 18:38:21 - mmengine - INFO - Epoch(train) [146][380/529] lr: 5.000000e-04 eta: 3:24:24 time: 0.384345 data_time: 0.032601 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.899292 2023/08/08 18:38:25 - mmengine - INFO - Epoch(train) [146][390/529] lr: 5.000000e-04 eta: 3:24:21 time: 0.385797 data_time: 0.032389 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.899044 2023/08/08 18:38:28 - mmengine - INFO - Epoch(train) [146][400/529] lr: 5.000000e-04 eta: 3:24:17 time: 0.379193 data_time: 0.032345 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.872208 2023/08/08 18:38:32 - mmengine - INFO - Epoch(train) [146][410/529] lr: 5.000000e-04 eta: 3:24:13 time: 0.380264 data_time: 0.032044 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.939976 2023/08/08 18:38:36 - mmengine - INFO - Epoch(train) [146][420/529] lr: 5.000000e-04 eta: 3:24:10 time: 0.379995 data_time: 0.031749 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.865613 2023/08/08 18:38:40 - mmengine - INFO - Epoch(train) [146][430/529] lr: 5.000000e-04 eta: 3:24:06 time: 0.374293 data_time: 0.031733 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.926642 2023/08/08 18:38:44 - mmengine - INFO - Epoch(train) [146][440/529] lr: 5.000000e-04 eta: 3:24:03 time: 0.381383 data_time: 0.032082 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.918137 2023/08/08 18:38:47 - mmengine - INFO - Epoch(train) [146][450/529] lr: 5.000000e-04 eta: 3:23:59 time: 0.381240 data_time: 0.032429 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.878591 2023/08/08 18:38:51 - mmengine - INFO - Epoch(train) [146][460/529] lr: 5.000000e-04 eta: 3:23:56 time: 0.377998 data_time: 0.033195 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.937376 2023/08/08 18:38:55 - mmengine - INFO - Epoch(train) [146][470/529] lr: 5.000000e-04 eta: 3:23:52 time: 0.373505 data_time: 0.033190 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.836465 2023/08/08 18:38:58 - mmengine - INFO - Epoch(train) [146][480/529] lr: 5.000000e-04 eta: 3:23:49 time: 0.370043 data_time: 0.033059 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.951092 2023/08/08 18:39:02 - mmengine - INFO - Epoch(train) [146][490/529] lr: 5.000000e-04 eta: 3:23:45 time: 0.359045 data_time: 0.032629 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.871511 2023/08/08 18:39:05 - mmengine - INFO - Epoch(train) [146][500/529] lr: 5.000000e-04 eta: 3:23:41 time: 0.357803 data_time: 0.031780 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.855791 2023/08/08 18:39:09 - mmengine - INFO - Epoch(train) [146][510/529] lr: 5.000000e-04 eta: 3:23:38 time: 0.355497 data_time: 0.031187 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.909384 2023/08/08 18:39:13 - mmengine - INFO - Epoch(train) [146][520/529] lr: 5.000000e-04 eta: 3:23:34 time: 0.355507 data_time: 0.031457 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.896313 2023/08/08 18:39:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:39:19 - mmengine - INFO - Epoch(train) [147][ 10/529] lr: 5.000000e-04 eta: 3:23:27 time: 0.359696 data_time: 0.035955 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.960003 2023/08/08 18:39:23 - mmengine - INFO - Epoch(train) [147][ 20/529] lr: 5.000000e-04 eta: 3:23:24 time: 0.360466 data_time: 0.036388 memory: 4565 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.869322 2023/08/08 18:39:27 - mmengine - INFO - Epoch(train) [147][ 30/529] lr: 5.000000e-04 eta: 3:23:20 time: 0.359574 data_time: 0.036050 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.896036 2023/08/08 18:39:30 - mmengine - INFO - Epoch(train) [147][ 40/529] lr: 5.000000e-04 eta: 3:23:16 time: 0.354792 data_time: 0.036532 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.916250 2023/08/08 18:39:34 - mmengine - INFO - Epoch(train) [147][ 50/529] lr: 5.000000e-04 eta: 3:23:13 time: 0.355648 data_time: 0.036740 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.925027 2023/08/08 18:39:37 - mmengine - INFO - Epoch(train) [147][ 60/529] lr: 5.000000e-04 eta: 3:23:09 time: 0.350636 data_time: 0.032879 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.895978 2023/08/08 18:39:41 - mmengine - INFO - Epoch(train) [147][ 70/529] lr: 5.000000e-04 eta: 3:23:05 time: 0.351639 data_time: 0.032731 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.942747 2023/08/08 18:39:44 - mmengine - INFO - Epoch(train) [147][ 80/529] lr: 5.000000e-04 eta: 3:23:02 time: 0.351392 data_time: 0.032852 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.909981 2023/08/08 18:39:48 - mmengine - INFO - Epoch(train) [147][ 90/529] lr: 5.000000e-04 eta: 3:22:58 time: 0.350957 data_time: 0.032096 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.802374 2023/08/08 18:39:51 - mmengine - INFO - Epoch(train) [147][100/529] lr: 5.000000e-04 eta: 3:22:54 time: 0.351437 data_time: 0.031875 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.883088 2023/08/08 18:39:55 - mmengine - INFO - Epoch(train) [147][110/529] lr: 5.000000e-04 eta: 3:22:51 time: 0.351887 data_time: 0.031478 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.883921 2023/08/08 18:39:58 - mmengine - INFO - Epoch(train) [147][120/529] lr: 5.000000e-04 eta: 3:22:47 time: 0.353540 data_time: 0.035463 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.921448 2023/08/08 18:40:02 - mmengine - INFO - Epoch(train) [147][130/529] lr: 5.000000e-04 eta: 3:22:43 time: 0.353349 data_time: 0.035490 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.917946 2023/08/08 18:40:05 - mmengine - INFO - Epoch(train) [147][140/529] lr: 5.000000e-04 eta: 3:22:40 time: 0.353608 data_time: 0.035657 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.834518 2023/08/08 18:40:09 - mmengine - INFO - Epoch(train) [147][150/529] lr: 5.000000e-04 eta: 3:22:36 time: 0.352560 data_time: 0.035755 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.897025 2023/08/08 18:40:12 - mmengine - INFO - Epoch(train) [147][160/529] lr: 5.000000e-04 eta: 3:22:32 time: 0.351464 data_time: 0.035600 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.867919 2023/08/08 18:40:16 - mmengine - INFO - Epoch(train) [147][170/529] lr: 5.000000e-04 eta: 3:22:29 time: 0.346732 data_time: 0.031295 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.942802 2023/08/08 18:40:19 - mmengine - INFO - Epoch(train) [147][180/529] lr: 5.000000e-04 eta: 3:22:25 time: 0.346234 data_time: 0.031247 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.922833 2023/08/08 18:40:23 - mmengine - INFO - Epoch(train) [147][190/529] lr: 5.000000e-04 eta: 3:22:22 time: 0.350616 data_time: 0.031323 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.904463 2023/08/08 18:40:26 - mmengine - INFO - Epoch(train) [147][200/529] lr: 5.000000e-04 eta: 3:22:18 time: 0.350043 data_time: 0.031073 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.890475 2023/08/08 18:40:30 - mmengine - INFO - Epoch(train) [147][210/529] lr: 5.000000e-04 eta: 3:22:14 time: 0.350420 data_time: 0.031278 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.940410 2023/08/08 18:40:33 - mmengine - INFO - Epoch(train) [147][220/529] lr: 5.000000e-04 eta: 3:22:11 time: 0.350621 data_time: 0.031429 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.887612 2023/08/08 18:40:37 - mmengine - INFO - Epoch(train) [147][230/529] lr: 5.000000e-04 eta: 3:22:07 time: 0.351363 data_time: 0.031427 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.917983 2023/08/08 18:40:40 - mmengine - INFO - Epoch(train) [147][240/529] lr: 5.000000e-04 eta: 3:22:03 time: 0.346712 data_time: 0.031203 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.950398 2023/08/08 18:40:44 - mmengine - INFO - Epoch(train) [147][250/529] lr: 5.000000e-04 eta: 3:22:00 time: 0.348431 data_time: 0.031263 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.888465 2023/08/08 18:40:47 - mmengine - INFO - Epoch(train) [147][260/529] lr: 5.000000e-04 eta: 3:21:56 time: 0.351249 data_time: 0.031424 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.907155 2023/08/08 18:40:51 - mmengine - INFO - Epoch(train) [147][270/529] lr: 5.000000e-04 eta: 3:21:52 time: 0.358054 data_time: 0.032393 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.914652 2023/08/08 18:40:55 - mmengine - INFO - Epoch(train) [147][280/529] lr: 5.000000e-04 eta: 3:21:49 time: 0.358765 data_time: 0.032925 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.914324 2023/08/08 18:40:58 - mmengine - INFO - Epoch(train) [147][290/529] lr: 5.000000e-04 eta: 3:21:45 time: 0.363137 data_time: 0.033041 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.889148 2023/08/08 18:41:02 - mmengine - INFO - Epoch(train) [147][300/529] lr: 5.000000e-04 eta: 3:21:42 time: 0.364014 data_time: 0.033198 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.920463 2023/08/08 18:41:06 - mmengine - INFO - Epoch(train) [147][310/529] lr: 5.000000e-04 eta: 3:21:38 time: 0.370105 data_time: 0.033635 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.858085 2023/08/08 18:41:10 - mmengine - INFO - Epoch(train) [147][320/529] lr: 5.000000e-04 eta: 3:21:35 time: 0.369269 data_time: 0.033595 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.921235 2023/08/08 18:41:13 - mmengine - INFO - Epoch(train) [147][330/529] lr: 5.000000e-04 eta: 3:21:31 time: 0.370385 data_time: 0.033451 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.913660 2023/08/08 18:41:17 - mmengine - INFO - Epoch(train) [147][340/529] lr: 5.000000e-04 eta: 3:21:27 time: 0.369035 data_time: 0.034278 memory: 4565 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.871560 2023/08/08 18:41:20 - mmengine - INFO - Epoch(train) [147][350/529] lr: 5.000000e-04 eta: 3:21:24 time: 0.366629 data_time: 0.034363 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.912259 2023/08/08 18:41:24 - mmengine - INFO - Epoch(train) [147][360/529] lr: 5.000000e-04 eta: 3:21:20 time: 0.358101 data_time: 0.034259 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.890114 2023/08/08 18:41:27 - mmengine - INFO - Epoch(train) [147][370/529] lr: 5.000000e-04 eta: 3:21:16 time: 0.352893 data_time: 0.033581 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.919742 2023/08/08 18:41:31 - mmengine - INFO - Epoch(train) [147][380/529] lr: 5.000000e-04 eta: 3:21:13 time: 0.353450 data_time: 0.033154 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.917729 2023/08/08 18:41:35 - mmengine - INFO - Epoch(train) [147][390/529] lr: 5.000000e-04 eta: 3:21:09 time: 0.355488 data_time: 0.032476 memory: 4565 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.867902 2023/08/08 18:41:38 - mmengine - INFO - Epoch(train) [147][400/529] lr: 5.000000e-04 eta: 3:21:06 time: 0.357986 data_time: 0.032658 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.867473 2023/08/08 18:41:42 - mmengine - INFO - Epoch(train) [147][410/529] lr: 5.000000e-04 eta: 3:21:02 time: 0.361930 data_time: 0.032112 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.918540 2023/08/08 18:41:45 - mmengine - INFO - Epoch(train) [147][420/529] lr: 5.000000e-04 eta: 3:20:58 time: 0.361637 data_time: 0.031853 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.914624 2023/08/08 18:41:49 - mmengine - INFO - Epoch(train) [147][430/529] lr: 5.000000e-04 eta: 3:20:55 time: 0.359751 data_time: 0.031914 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.864896 2023/08/08 18:41:52 - mmengine - INFO - Epoch(train) [147][440/529] lr: 5.000000e-04 eta: 3:20:51 time: 0.357274 data_time: 0.031813 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.932756 2023/08/08 18:41:56 - mmengine - INFO - Epoch(train) [147][450/529] lr: 5.000000e-04 eta: 3:20:48 time: 0.356746 data_time: 0.031415 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.920337 2023/08/08 18:42:00 - mmengine - INFO - Epoch(train) [147][460/529] lr: 5.000000e-04 eta: 3:20:44 time: 0.356741 data_time: 0.031550 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.915125 2023/08/08 18:42:03 - mmengine - INFO - Epoch(train) [147][470/529] lr: 5.000000e-04 eta: 3:20:40 time: 0.360090 data_time: 0.031764 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.879893 2023/08/08 18:42:07 - mmengine - INFO - Epoch(train) [147][480/529] lr: 5.000000e-04 eta: 3:20:37 time: 0.360241 data_time: 0.032053 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.887832 2023/08/08 18:42:10 - mmengine - INFO - Epoch(train) [147][490/529] lr: 5.000000e-04 eta: 3:20:33 time: 0.359007 data_time: 0.032529 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.926983 2023/08/08 18:42:14 - mmengine - INFO - Epoch(train) [147][500/529] lr: 5.000000e-04 eta: 3:20:29 time: 0.358871 data_time: 0.032752 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.867131 2023/08/08 18:42:17 - mmengine - INFO - Epoch(train) [147][510/529] lr: 5.000000e-04 eta: 3:20:26 time: 0.354069 data_time: 0.032551 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.917453 2023/08/08 18:42:21 - mmengine - INFO - Epoch(train) [147][520/529] lr: 5.000000e-04 eta: 3:20:22 time: 0.354591 data_time: 0.032234 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.936421 2023/08/08 18:42:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:42:29 - mmengine - INFO - Epoch(train) [148][ 10/529] lr: 5.000000e-04 eta: 3:20:16 time: 0.375992 data_time: 0.036589 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.923143 2023/08/08 18:42:33 - mmengine - INFO - Epoch(train) [148][ 20/529] lr: 5.000000e-04 eta: 3:20:12 time: 0.382934 data_time: 0.036850 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.904700 2023/08/08 18:42:36 - mmengine - INFO - Epoch(train) [148][ 30/529] lr: 5.000000e-04 eta: 3:20:09 time: 0.384493 data_time: 0.037441 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.936075 2023/08/08 18:42:40 - mmengine - INFO - Epoch(train) [148][ 40/529] lr: 5.000000e-04 eta: 3:20:05 time: 0.383797 data_time: 0.037561 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.926891 2023/08/08 18:42:44 - mmengine - INFO - Epoch(train) [148][ 50/529] lr: 5.000000e-04 eta: 3:20:01 time: 0.377651 data_time: 0.037219 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.891556 2023/08/08 18:42:47 - mmengine - INFO - Epoch(train) [148][ 60/529] lr: 5.000000e-04 eta: 3:19:58 time: 0.362374 data_time: 0.032212 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.905239 2023/08/08 18:42:51 - mmengine - INFO - Epoch(train) [148][ 70/529] lr: 5.000000e-04 eta: 3:19:54 time: 0.355950 data_time: 0.032134 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.914543 2023/08/08 18:42:54 - mmengine - INFO - Epoch(train) [148][ 80/529] lr: 5.000000e-04 eta: 3:19:50 time: 0.355946 data_time: 0.031556 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.927889 2023/08/08 18:42:58 - mmengine - INFO - Epoch(train) [148][ 90/529] lr: 5.000000e-04 eta: 3:19:47 time: 0.359704 data_time: 0.031969 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.958928 2023/08/08 18:43:02 - mmengine - INFO - Epoch(train) [148][100/529] lr: 5.000000e-04 eta: 3:19:43 time: 0.366950 data_time: 0.032258 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.944280 2023/08/08 18:43:06 - mmengine - INFO - Epoch(train) [148][110/529] lr: 5.000000e-04 eta: 3:19:40 time: 0.378470 data_time: 0.032210 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.887258 2023/08/08 18:43:10 - mmengine - INFO - Epoch(train) [148][120/529] lr: 5.000000e-04 eta: 3:19:37 time: 0.385264 data_time: 0.031738 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.911442 2023/08/08 18:43:14 - mmengine - INFO - Epoch(train) [148][130/529] lr: 5.000000e-04 eta: 3:19:33 time: 0.392319 data_time: 0.032010 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.937247 2023/08/08 18:43:17 - mmengine - INFO - Epoch(train) [148][140/529] lr: 5.000000e-04 eta: 3:19:30 time: 0.389058 data_time: 0.032384 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.838369 2023/08/08 18:43:21 - mmengine - INFO - Epoch(train) [148][150/529] lr: 5.000000e-04 eta: 3:19:26 time: 0.378237 data_time: 0.033077 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.904475 2023/08/08 18:43:24 - mmengine - INFO - Epoch(train) [148][160/529] lr: 5.000000e-04 eta: 3:19:22 time: 0.369686 data_time: 0.034208 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.905276 2023/08/08 18:43:28 - mmengine - INFO - Epoch(train) [148][170/529] lr: 5.000000e-04 eta: 3:19:19 time: 0.365113 data_time: 0.034413 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.934532 2023/08/08 18:43:32 - mmengine - INFO - Epoch(train) [148][180/529] lr: 5.000000e-04 eta: 3:19:15 time: 0.357506 data_time: 0.033980 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.916539 2023/08/08 18:43:35 - mmengine - INFO - Epoch(train) [148][190/529] lr: 5.000000e-04 eta: 3:19:11 time: 0.354867 data_time: 0.033014 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.905031 2023/08/08 18:43:39 - mmengine - INFO - Epoch(train) [148][200/529] lr: 5.000000e-04 eta: 3:19:08 time: 0.355411 data_time: 0.032046 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.930780 2023/08/08 18:43:42 - mmengine - INFO - Epoch(train) [148][210/529] lr: 5.000000e-04 eta: 3:19:04 time: 0.354522 data_time: 0.031047 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.935483 2023/08/08 18:43:46 - mmengine - INFO - Epoch(train) [148][220/529] lr: 5.000000e-04 eta: 3:19:00 time: 0.349909 data_time: 0.031029 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.869386 2023/08/08 18:43:49 - mmengine - INFO - Epoch(train) [148][230/529] lr: 5.000000e-04 eta: 3:18:57 time: 0.350249 data_time: 0.031308 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.915231 2023/08/08 18:43:52 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:43:53 - mmengine - INFO - Epoch(train) [148][240/529] lr: 5.000000e-04 eta: 3:18:53 time: 0.350828 data_time: 0.031638 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.908755 2023/08/08 18:43:56 - mmengine - INFO - Epoch(train) [148][250/529] lr: 5.000000e-04 eta: 3:18:49 time: 0.353196 data_time: 0.035253 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.922241 2023/08/08 18:44:00 - mmengine - INFO - Epoch(train) [148][260/529] lr: 5.000000e-04 eta: 3:18:46 time: 0.352309 data_time: 0.035337 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.898861 2023/08/08 18:44:03 - mmengine - INFO - Epoch(train) [148][270/529] lr: 5.000000e-04 eta: 3:18:42 time: 0.353102 data_time: 0.035179 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.961951 2023/08/08 18:44:07 - mmengine - INFO - Epoch(train) [148][280/529] lr: 5.000000e-04 eta: 3:18:39 time: 0.352139 data_time: 0.034978 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.911394 2023/08/08 18:44:10 - mmengine - INFO - Epoch(train) [148][290/529] lr: 5.000000e-04 eta: 3:18:35 time: 0.351914 data_time: 0.035034 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.900401 2023/08/08 18:44:14 - mmengine - INFO - Epoch(train) [148][300/529] lr: 5.000000e-04 eta: 3:18:31 time: 0.352371 data_time: 0.032079 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.847524 2023/08/08 18:44:17 - mmengine - INFO - Epoch(train) [148][310/529] lr: 5.000000e-04 eta: 3:18:28 time: 0.352020 data_time: 0.033207 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.898411 2023/08/08 18:44:21 - mmengine - INFO - Epoch(train) [148][320/529] lr: 5.000000e-04 eta: 3:18:24 time: 0.350425 data_time: 0.033168 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.883731 2023/08/08 18:44:24 - mmengine - INFO - Epoch(train) [148][330/529] lr: 5.000000e-04 eta: 3:18:20 time: 0.349482 data_time: 0.033286 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.916927 2023/08/08 18:44:28 - mmengine - INFO - Epoch(train) [148][340/529] lr: 5.000000e-04 eta: 3:18:17 time: 0.348148 data_time: 0.033015 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.906887 2023/08/08 18:44:31 - mmengine - INFO - Epoch(train) [148][350/529] lr: 5.000000e-04 eta: 3:18:13 time: 0.347372 data_time: 0.033228 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.856982 2023/08/08 18:44:35 - mmengine - INFO - Epoch(train) [148][360/529] lr: 5.000000e-04 eta: 3:18:09 time: 0.354012 data_time: 0.032649 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.838080 2023/08/08 18:44:39 - mmengine - INFO - Epoch(train) [148][370/529] lr: 5.000000e-04 eta: 3:18:06 time: 0.361030 data_time: 0.033242 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.855716 2023/08/08 18:44:42 - mmengine - INFO - Epoch(train) [148][380/529] lr: 5.000000e-04 eta: 3:18:02 time: 0.362790 data_time: 0.033479 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.917737 2023/08/08 18:44:46 - mmengine - INFO - Epoch(train) [148][390/529] lr: 5.000000e-04 eta: 3:17:59 time: 0.363082 data_time: 0.033574 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.922489 2023/08/08 18:44:49 - mmengine - INFO - Epoch(train) [148][400/529] lr: 5.000000e-04 eta: 3:17:55 time: 0.360089 data_time: 0.032777 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.910258 2023/08/08 18:44:53 - mmengine - INFO - Epoch(train) [148][410/529] lr: 5.000000e-04 eta: 3:17:51 time: 0.352596 data_time: 0.032393 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.926759 2023/08/08 18:44:57 - mmengine - INFO - Epoch(train) [148][420/529] lr: 5.000000e-04 eta: 3:17:48 time: 0.351422 data_time: 0.032249 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.889413 2023/08/08 18:45:00 - mmengine - INFO - Epoch(train) [148][430/529] lr: 5.000000e-04 eta: 3:17:44 time: 0.351044 data_time: 0.032537 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.917223 2023/08/08 18:45:04 - mmengine - INFO - Epoch(train) [148][440/529] lr: 5.000000e-04 eta: 3:17:40 time: 0.352813 data_time: 0.032770 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.866362 2023/08/08 18:45:08 - mmengine - INFO - Epoch(train) [148][450/529] lr: 5.000000e-04 eta: 3:17:37 time: 0.364705 data_time: 0.032709 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.894171 2023/08/08 18:45:11 - mmengine - INFO - Epoch(train) [148][460/529] lr: 5.000000e-04 eta: 3:17:33 time: 0.365913 data_time: 0.032796 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.921637 2023/08/08 18:45:15 - mmengine - INFO - Epoch(train) [148][470/529] lr: 5.000000e-04 eta: 3:17:30 time: 0.369807 data_time: 0.032205 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.908316 2023/08/08 18:45:19 - mmengine - INFO - Epoch(train) [148][480/529] lr: 5.000000e-04 eta: 3:17:26 time: 0.378490 data_time: 0.031457 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.876981 2023/08/08 18:45:23 - mmengine - INFO - Epoch(train) [148][490/529] lr: 5.000000e-04 eta: 3:17:23 time: 0.380170 data_time: 0.032005 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.935926 2023/08/08 18:45:26 - mmengine - INFO - Epoch(train) [148][500/529] lr: 5.000000e-04 eta: 3:17:19 time: 0.369550 data_time: 0.032032 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.943348 2023/08/08 18:45:30 - mmengine - INFO - Epoch(train) [148][510/529] lr: 5.000000e-04 eta: 3:17:16 time: 0.372771 data_time: 0.032042 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.886081 2023/08/08 18:45:33 - mmengine - INFO - Epoch(train) [148][520/529] lr: 5.000000e-04 eta: 3:17:12 time: 0.363771 data_time: 0.032936 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.915894 2023/08/08 18:45:36 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:45:40 - mmengine - INFO - Epoch(train) [149][ 10/529] lr: 5.000000e-04 eta: 3:17:05 time: 0.360451 data_time: 0.037079 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.932111 2023/08/08 18:45:44 - mmengine - INFO - Epoch(train) [149][ 20/529] lr: 5.000000e-04 eta: 3:17:02 time: 0.365362 data_time: 0.037214 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.910285 2023/08/08 18:45:48 - mmengine - INFO - Epoch(train) [149][ 30/529] lr: 5.000000e-04 eta: 3:16:58 time: 0.367190 data_time: 0.037952 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.866243 2023/08/08 18:45:52 - mmengine - INFO - Epoch(train) [149][ 40/529] lr: 5.000000e-04 eta: 3:16:55 time: 0.374992 data_time: 0.037769 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.919611 2023/08/08 18:45:55 - mmengine - INFO - Epoch(train) [149][ 50/529] lr: 5.000000e-04 eta: 3:16:51 time: 0.373088 data_time: 0.037753 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.916627 2023/08/08 18:45:59 - mmengine - INFO - Epoch(train) [149][ 60/529] lr: 5.000000e-04 eta: 3:16:47 time: 0.367578 data_time: 0.032829 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.943469 2023/08/08 18:46:02 - mmengine - INFO - Epoch(train) [149][ 70/529] lr: 5.000000e-04 eta: 3:16:44 time: 0.363511 data_time: 0.032807 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.913534 2023/08/08 18:46:06 - mmengine - INFO - Epoch(train) [149][ 80/529] lr: 5.000000e-04 eta: 3:16:40 time: 0.361520 data_time: 0.032012 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.891073 2023/08/08 18:46:09 - mmengine - INFO - Epoch(train) [149][ 90/529] lr: 5.000000e-04 eta: 3:16:36 time: 0.356085 data_time: 0.032007 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.920688 2023/08/08 18:46:13 - mmengine - INFO - Epoch(train) [149][100/529] lr: 5.000000e-04 eta: 3:16:33 time: 0.357713 data_time: 0.032194 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.908329 2023/08/08 18:46:17 - mmengine - INFO - Epoch(train) [149][110/529] lr: 5.000000e-04 eta: 3:16:29 time: 0.360566 data_time: 0.032953 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.852544 2023/08/08 18:46:20 - mmengine - INFO - Epoch(train) [149][120/529] lr: 5.000000e-04 eta: 3:16:26 time: 0.360611 data_time: 0.033676 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.873399 2023/08/08 18:46:24 - mmengine - INFO - Epoch(train) [149][130/529] lr: 5.000000e-04 eta: 3:16:22 time: 0.357262 data_time: 0.034408 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.901836 2023/08/08 18:46:27 - mmengine - INFO - Epoch(train) [149][140/529] lr: 5.000000e-04 eta: 3:16:18 time: 0.359318 data_time: 0.038128 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.923625 2023/08/08 18:46:31 - mmengine - INFO - Epoch(train) [149][150/529] lr: 5.000000e-04 eta: 3:16:15 time: 0.360540 data_time: 0.038473 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.930413 2023/08/08 18:46:35 - mmengine - INFO - Epoch(train) [149][160/529] lr: 5.000000e-04 eta: 3:16:11 time: 0.359380 data_time: 0.037794 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.913575 2023/08/08 18:46:38 - mmengine - INFO - Epoch(train) [149][170/529] lr: 5.000000e-04 eta: 3:16:08 time: 0.362197 data_time: 0.037607 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.879588 2023/08/08 18:46:42 - mmengine - INFO - Epoch(train) [149][180/529] lr: 5.000000e-04 eta: 3:16:04 time: 0.362671 data_time: 0.036695 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.929461 2023/08/08 18:46:45 - mmengine - INFO - Epoch(train) [149][190/529] lr: 5.000000e-04 eta: 3:16:00 time: 0.358669 data_time: 0.032473 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.896291 2023/08/08 18:46:49 - mmengine - INFO - Epoch(train) [149][200/529] lr: 5.000000e-04 eta: 3:15:57 time: 0.362009 data_time: 0.031968 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.854500 2023/08/08 18:46:53 - mmengine - INFO - Epoch(train) [149][210/529] lr: 5.000000e-04 eta: 3:15:53 time: 0.360142 data_time: 0.032090 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.918073 2023/08/08 18:46:56 - mmengine - INFO - Epoch(train) [149][220/529] lr: 5.000000e-04 eta: 3:15:50 time: 0.362162 data_time: 0.031721 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.905370 2023/08/08 18:47:00 - mmengine - INFO - Epoch(train) [149][230/529] lr: 5.000000e-04 eta: 3:15:46 time: 0.366039 data_time: 0.032370 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.954216 2023/08/08 18:47:04 - mmengine - INFO - Epoch(train) [149][240/529] lr: 5.000000e-04 eta: 3:15:43 time: 0.374517 data_time: 0.032845 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.887756 2023/08/08 18:47:08 - mmengine - INFO - Epoch(train) [149][250/529] lr: 5.000000e-04 eta: 3:15:39 time: 0.377535 data_time: 0.033069 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.911089 2023/08/08 18:47:12 - mmengine - INFO - Epoch(train) [149][260/529] lr: 5.000000e-04 eta: 3:15:36 time: 0.385719 data_time: 0.033229 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.903934 2023/08/08 18:47:16 - mmengine - INFO - Epoch(train) [149][270/529] lr: 5.000000e-04 eta: 3:15:32 time: 0.389086 data_time: 0.032904 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.866922 2023/08/08 18:47:20 - mmengine - INFO - Epoch(train) [149][280/529] lr: 5.000000e-04 eta: 3:15:29 time: 0.394441 data_time: 0.032442 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.958229 2023/08/08 18:47:24 - mmengine - INFO - Epoch(train) [149][290/529] lr: 5.000000e-04 eta: 3:15:25 time: 0.393656 data_time: 0.032225 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.854946 2023/08/08 18:47:27 - mmengine - INFO - Epoch(train) [149][300/529] lr: 5.000000e-04 eta: 3:15:22 time: 0.385357 data_time: 0.031957 memory: 4565 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.944794 2023/08/08 18:47:31 - mmengine - INFO - Epoch(train) [149][310/529] lr: 5.000000e-04 eta: 3:15:18 time: 0.377185 data_time: 0.032257 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.929636 2023/08/08 18:47:34 - mmengine - INFO - Epoch(train) [149][320/529] lr: 5.000000e-04 eta: 3:15:14 time: 0.368655 data_time: 0.032415 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.863274 2023/08/08 18:47:38 - mmengine - INFO - Epoch(train) [149][330/529] lr: 5.000000e-04 eta: 3:15:11 time: 0.360266 data_time: 0.032543 memory: 4565 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.932142 2023/08/08 18:47:42 - mmengine - INFO - Epoch(train) [149][340/529] lr: 5.000000e-04 eta: 3:15:07 time: 0.354497 data_time: 0.033491 memory: 4565 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.934262 2023/08/08 18:47:45 - mmengine - INFO - Epoch(train) [149][350/529] lr: 5.000000e-04 eta: 3:15:03 time: 0.358924 data_time: 0.034277 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.893088 2023/08/08 18:47:49 - mmengine - INFO - Epoch(train) [149][360/529] lr: 5.000000e-04 eta: 3:15:00 time: 0.360176 data_time: 0.033732 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.888507 2023/08/08 18:47:52 - mmengine - INFO - Epoch(train) [149][370/529] lr: 5.000000e-04 eta: 3:14:56 time: 0.361295 data_time: 0.034040 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.946712 2023/08/08 18:47:56 - mmengine - INFO - Epoch(train) [149][380/529] lr: 5.000000e-04 eta: 3:14:53 time: 0.359927 data_time: 0.033995 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.955511 2023/08/08 18:47:59 - mmengine - INFO - Epoch(train) [149][390/529] lr: 5.000000e-04 eta: 3:14:49 time: 0.358312 data_time: 0.032833 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.909308 2023/08/08 18:48:03 - mmengine - INFO - Epoch(train) [149][400/529] lr: 5.000000e-04 eta: 3:14:45 time: 0.360963 data_time: 0.032367 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.892010 2023/08/08 18:48:07 - mmengine - INFO - Epoch(train) [149][410/529] lr: 5.000000e-04 eta: 3:14:42 time: 0.368058 data_time: 0.032821 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.909219 2023/08/08 18:48:11 - mmengine - INFO - Epoch(train) [149][420/529] lr: 5.000000e-04 eta: 3:14:38 time: 0.371302 data_time: 0.033096 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.928224 2023/08/08 18:48:15 - mmengine - INFO - Epoch(train) [149][430/529] lr: 5.000000e-04 eta: 3:14:35 time: 0.376297 data_time: 0.033211 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.866764 2023/08/08 18:48:18 - mmengine - INFO - Epoch(train) [149][440/529] lr: 5.000000e-04 eta: 3:14:31 time: 0.376634 data_time: 0.033268 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.880269 2023/08/08 18:48:22 - mmengine - INFO - Epoch(train) [149][450/529] lr: 5.000000e-04 eta: 3:14:28 time: 0.370299 data_time: 0.032773 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.865962 2023/08/08 18:48:25 - mmengine - INFO - Epoch(train) [149][460/529] lr: 5.000000e-04 eta: 3:14:24 time: 0.363229 data_time: 0.032533 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.880144 2023/08/08 18:48:29 - mmengine - INFO - Epoch(train) [149][470/529] lr: 5.000000e-04 eta: 3:14:20 time: 0.360032 data_time: 0.031859 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.928778 2023/08/08 18:48:33 - mmengine - INFO - Epoch(train) [149][480/529] lr: 5.000000e-04 eta: 3:14:17 time: 0.363004 data_time: 0.031813 memory: 4565 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.819226 2023/08/08 18:48:37 - mmengine - INFO - Epoch(train) [149][490/529] lr: 5.000000e-04 eta: 3:14:13 time: 0.364227 data_time: 0.031877 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.903952 2023/08/08 18:48:40 - mmengine - INFO - Epoch(train) [149][500/529] lr: 5.000000e-04 eta: 3:14:10 time: 0.362911 data_time: 0.031982 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.935853 2023/08/08 18:48:44 - mmengine - INFO - Epoch(train) [149][510/529] lr: 5.000000e-04 eta: 3:14:06 time: 0.361586 data_time: 0.033001 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.925812 2023/08/08 18:48:47 - mmengine - INFO - Epoch(train) [149][520/529] lr: 5.000000e-04 eta: 3:14:02 time: 0.361006 data_time: 0.034328 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.909039 2023/08/08 18:48:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:48:54 - mmengine - INFO - Epoch(train) [150][ 10/529] lr: 5.000000e-04 eta: 3:13:56 time: 0.362000 data_time: 0.038651 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.910684 2023/08/08 18:48:58 - mmengine - INFO - Epoch(train) [150][ 20/529] lr: 5.000000e-04 eta: 3:13:52 time: 0.363968 data_time: 0.039025 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.922973 2023/08/08 18:49:01 - mmengine - INFO - Epoch(train) [150][ 30/529] lr: 5.000000e-04 eta: 3:13:48 time: 0.362973 data_time: 0.038753 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.954299 2023/08/08 18:49:05 - mmengine - INFO - Epoch(train) [150][ 40/529] lr: 5.000000e-04 eta: 3:13:45 time: 0.368100 data_time: 0.037427 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.886260 2023/08/08 18:49:09 - mmengine - INFO - Epoch(train) [150][ 50/529] lr: 5.000000e-04 eta: 3:13:41 time: 0.367850 data_time: 0.037294 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.934830 2023/08/08 18:49:12 - mmengine - INFO - Epoch(train) [150][ 60/529] lr: 5.000000e-04 eta: 3:13:38 time: 0.358052 data_time: 0.032820 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.915290 2023/08/08 18:49:16 - mmengine - INFO - Epoch(train) [150][ 70/529] lr: 5.000000e-04 eta: 3:13:34 time: 0.360530 data_time: 0.036053 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.904715 2023/08/08 18:49:20 - mmengine - INFO - Epoch(train) [150][ 80/529] lr: 5.000000e-04 eta: 3:13:30 time: 0.363620 data_time: 0.035421 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.902218 2023/08/08 18:49:23 - mmengine - INFO - Epoch(train) [150][ 90/529] lr: 5.000000e-04 eta: 3:13:27 time: 0.358626 data_time: 0.035810 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.900514 2023/08/08 18:49:27 - mmengine - INFO - Epoch(train) [150][100/529] lr: 5.000000e-04 eta: 3:13:23 time: 0.357759 data_time: 0.035762 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.949355 2023/08/08 18:49:30 - mmengine - INFO - Epoch(train) [150][110/529] lr: 5.000000e-04 eta: 3:13:19 time: 0.357667 data_time: 0.035720 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.912308 2023/08/08 18:49:34 - mmengine - INFO - Epoch(train) [150][120/529] lr: 5.000000e-04 eta: 3:13:16 time: 0.353839 data_time: 0.032101 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.920786 2023/08/08 18:49:37 - mmengine - INFO - Epoch(train) [150][130/529] lr: 5.000000e-04 eta: 3:13:12 time: 0.350766 data_time: 0.032270 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.863067 2023/08/08 18:49:41 - mmengine - INFO - Epoch(train) [150][140/529] lr: 5.000000e-04 eta: 3:13:08 time: 0.351425 data_time: 0.032814 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.895387 2023/08/08 18:49:44 - mmengine - INFO - Epoch(train) [150][150/529] lr: 5.000000e-04 eta: 3:13:05 time: 0.352129 data_time: 0.033037 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.895794 2023/08/08 18:49:48 - mmengine - INFO - Epoch(train) [150][160/529] lr: 5.000000e-04 eta: 3:13:01 time: 0.354384 data_time: 0.032777 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.920492 2023/08/08 18:49:51 - mmengine - INFO - Epoch(train) [150][170/529] lr: 5.000000e-04 eta: 3:12:58 time: 0.354286 data_time: 0.032627 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.861462 2023/08/08 18:49:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:49:55 - mmengine - INFO - Epoch(train) [150][180/529] lr: 5.000000e-04 eta: 3:12:54 time: 0.354977 data_time: 0.032373 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.892659 2023/08/08 18:49:59 - mmengine - INFO - Epoch(train) [150][190/529] lr: 5.000000e-04 eta: 3:12:50 time: 0.359532 data_time: 0.032239 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.906884 2023/08/08 18:50:02 - mmengine - INFO - Epoch(train) [150][200/529] lr: 5.000000e-04 eta: 3:12:47 time: 0.358505 data_time: 0.033183 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.888759 2023/08/08 18:50:06 - mmengine - INFO - Epoch(train) [150][210/529] lr: 5.000000e-04 eta: 3:12:43 time: 0.358654 data_time: 0.034065 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.919756 2023/08/08 18:50:09 - mmengine - INFO - Epoch(train) [150][220/529] lr: 5.000000e-04 eta: 3:12:40 time: 0.358235 data_time: 0.034575 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.914686 2023/08/08 18:50:13 - mmengine - INFO - Epoch(train) [150][230/529] lr: 5.000000e-04 eta: 3:12:36 time: 0.359298 data_time: 0.035187 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.935653 2023/08/08 18:50:17 - mmengine - INFO - Epoch(train) [150][240/529] lr: 5.000000e-04 eta: 3:12:32 time: 0.356165 data_time: 0.035479 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.900689 2023/08/08 18:50:20 - mmengine - INFO - Epoch(train) [150][250/529] lr: 5.000000e-04 eta: 3:12:29 time: 0.358650 data_time: 0.034486 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.925273 2023/08/08 18:50:24 - mmengine - INFO - Epoch(train) [150][260/529] lr: 5.000000e-04 eta: 3:12:25 time: 0.356028 data_time: 0.033669 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.943552 2023/08/08 18:50:27 - mmengine - INFO - Epoch(train) [150][270/529] lr: 5.000000e-04 eta: 3:12:21 time: 0.357266 data_time: 0.033456 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.900710 2023/08/08 18:50:31 - mmengine - INFO - Epoch(train) [150][280/529] lr: 5.000000e-04 eta: 3:12:18 time: 0.358422 data_time: 0.032485 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.915732 2023/08/08 18:50:34 - mmengine - INFO - Epoch(train) [150][290/529] lr: 5.000000e-04 eta: 3:12:14 time: 0.356058 data_time: 0.031288 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.917218 2023/08/08 18:50:38 - mmengine - INFO - Epoch(train) [150][300/529] lr: 5.000000e-04 eta: 3:12:11 time: 0.359021 data_time: 0.030993 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.934029 2023/08/08 18:50:42 - mmengine - INFO - Epoch(train) [150][310/529] lr: 5.000000e-04 eta: 3:12:07 time: 0.358536 data_time: 0.031279 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.925041 2023/08/08 18:50:45 - mmengine - INFO - Epoch(train) [150][320/529] lr: 5.000000e-04 eta: 3:12:03 time: 0.359932 data_time: 0.034926 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.907082 2023/08/08 18:50:49 - mmengine - INFO - Epoch(train) [150][330/529] lr: 5.000000e-04 eta: 3:12:00 time: 0.356479 data_time: 0.035162 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.904354 2023/08/08 18:50:52 - mmengine - INFO - Epoch(train) [150][340/529] lr: 5.000000e-04 eta: 3:11:56 time: 0.356277 data_time: 0.035514 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.897203 2023/08/08 18:50:56 - mmengine - INFO - Epoch(train) [150][350/529] lr: 5.000000e-04 eta: 3:11:52 time: 0.351170 data_time: 0.036086 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.932963 2023/08/08 18:50:59 - mmengine - INFO - Epoch(train) [150][360/529] lr: 5.000000e-04 eta: 3:11:49 time: 0.351450 data_time: 0.035834 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.928856 2023/08/08 18:51:03 - mmengine - INFO - Epoch(train) [150][370/529] lr: 5.000000e-04 eta: 3:11:45 time: 0.348228 data_time: 0.031992 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.922064 2023/08/08 18:51:06 - mmengine - INFO - Epoch(train) [150][380/529] lr: 5.000000e-04 eta: 3:11:41 time: 0.349266 data_time: 0.032036 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.854526 2023/08/08 18:51:10 - mmengine - INFO - Epoch(train) [150][390/529] lr: 5.000000e-04 eta: 3:11:38 time: 0.348262 data_time: 0.031746 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.934544 2023/08/08 18:51:13 - mmengine - INFO - Epoch(train) [150][400/529] lr: 5.000000e-04 eta: 3:11:34 time: 0.348415 data_time: 0.031321 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.906159 2023/08/08 18:51:17 - mmengine - INFO - Epoch(train) [150][410/529] lr: 5.000000e-04 eta: 3:11:30 time: 0.347715 data_time: 0.031360 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.918293 2023/08/08 18:51:20 - mmengine - INFO - Epoch(train) [150][420/529] lr: 5.000000e-04 eta: 3:11:27 time: 0.351867 data_time: 0.031450 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.928165 2023/08/08 18:51:24 - mmengine - INFO - Epoch(train) [150][430/529] lr: 5.000000e-04 eta: 3:11:23 time: 0.351592 data_time: 0.031518 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.897736 2023/08/08 18:51:27 - mmengine - INFO - Epoch(train) [150][440/529] lr: 5.000000e-04 eta: 3:11:20 time: 0.354213 data_time: 0.031648 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.903971 2023/08/08 18:51:31 - mmengine - INFO - Epoch(train) [150][450/529] lr: 5.000000e-04 eta: 3:11:16 time: 0.354923 data_time: 0.032248 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.934754 2023/08/08 18:51:34 - mmengine - INFO - Epoch(train) [150][460/529] lr: 5.000000e-04 eta: 3:11:12 time: 0.356249 data_time: 0.032443 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.927322 2023/08/08 18:51:38 - mmengine - INFO - Epoch(train) [150][470/529] lr: 5.000000e-04 eta: 3:11:09 time: 0.353282 data_time: 0.032648 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.930034 2023/08/08 18:51:41 - mmengine - INFO - Epoch(train) [150][480/529] lr: 5.000000e-04 eta: 3:11:05 time: 0.353781 data_time: 0.032301 memory: 4565 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.832271 2023/08/08 18:51:45 - mmengine - INFO - Epoch(train) [150][490/529] lr: 5.000000e-04 eta: 3:11:01 time: 0.351666 data_time: 0.032168 memory: 4565 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.921300 2023/08/08 18:51:48 - mmengine - INFO - Epoch(train) [150][500/529] lr: 5.000000e-04 eta: 3:10:58 time: 0.349956 data_time: 0.031383 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.928961 2023/08/08 18:51:52 - mmengine - INFO - Epoch(train) [150][510/529] lr: 5.000000e-04 eta: 3:10:54 time: 0.349469 data_time: 0.031372 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.896024 2023/08/08 18:51:55 - mmengine - INFO - Epoch(train) [150][520/529] lr: 5.000000e-04 eta: 3:10:50 time: 0.347912 data_time: 0.031039 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.861397 2023/08/08 18:51:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:51:59 - mmengine - INFO - Saving checkpoint at 150 epochs 2023/08/08 18:52:04 - mmengine - INFO - Epoch(val) [150][ 10/127] eta: 0:00:24 time: 0.200274 data_time: 0.015113 memory: 4565 2023/08/08 18:52:06 - mmengine - INFO - Epoch(val) [150][ 20/127] eta: 0:00:21 time: 0.200064 data_time: 0.015185 memory: 1634 2023/08/08 18:52:08 - mmengine - INFO - Epoch(val) [150][ 30/127] eta: 0:00:19 time: 0.199918 data_time: 0.015096 memory: 1634 2023/08/08 18:52:10 - mmengine - INFO - Epoch(val) [150][ 40/127] eta: 0:00:17 time: 0.197724 data_time: 0.012960 memory: 1634 2023/08/08 18:52:12 - mmengine - INFO - Epoch(val) [150][ 50/127] eta: 0:00:15 time: 0.199575 data_time: 0.013088 memory: 1634 2023/08/08 18:52:14 - mmengine - INFO - Epoch(val) [150][ 60/127] eta: 0:00:13 time: 0.197519 data_time: 0.011117 memory: 1634 2023/08/08 18:52:16 - mmengine - INFO - Epoch(val) [150][ 70/127] eta: 0:00:11 time: 0.197565 data_time: 0.011038 memory: 1634 2023/08/08 18:52:18 - mmengine - INFO - Epoch(val) [150][ 80/127] eta: 0:00:09 time: 0.197745 data_time: 0.011078 memory: 1634 2023/08/08 18:52:20 - mmengine - INFO - Epoch(val) [150][ 90/127] eta: 0:00:07 time: 0.197851 data_time: 0.011177 memory: 1634 2023/08/08 18:52:22 - mmengine - INFO - Epoch(val) [150][100/127] eta: 0:00:05 time: 0.197936 data_time: 0.011122 memory: 1634 2023/08/08 18:52:24 - mmengine - INFO - Epoch(val) [150][110/127] eta: 0:00:03 time: 0.197766 data_time: 0.011113 memory: 1634 2023/08/08 18:52:26 - mmengine - INFO - Epoch(val) [150][120/127] eta: 0:00:01 time: 0.197593 data_time: 0.011048 memory: 1634 2023/08/08 18:52:28 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 18:52:28 - mmengine - INFO - Evaluating AUC... 2023/08/08 18:52:28 - mmengine - INFO - Evaluating EPE... 2023/08/08 18:52:28 - mmengine - INFO - Epoch(val) [150][127/127] PCK: 0.982503 AUC: 0.673539 EPE: 11.780447 data_time: 0.011720 time: 0.196840 2023/08/08 18:52:32 - mmengine - INFO - Epoch(train) [151][ 10/529] lr: 5.000000e-04 eta: 3:10:44 time: 0.357144 data_time: 0.042112 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.891639 2023/08/08 18:52:35 - mmengine - INFO - Epoch(train) [151][ 20/529] lr: 5.000000e-04 eta: 3:10:40 time: 0.357035 data_time: 0.042090 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.898887 2023/08/08 18:52:39 - mmengine - INFO - Epoch(train) [151][ 30/529] lr: 5.000000e-04 eta: 3:10:36 time: 0.360129 data_time: 0.043518 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.943234 2023/08/08 18:52:43 - mmengine - INFO - Epoch(train) [151][ 40/529] lr: 5.000000e-04 eta: 3:10:33 time: 0.362873 data_time: 0.044589 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.869138 2023/08/08 18:52:46 - mmengine - INFO - Epoch(train) [151][ 50/529] lr: 5.000000e-04 eta: 3:10:29 time: 0.360365 data_time: 0.040528 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.954003 2023/08/08 18:52:50 - mmengine - INFO - Epoch(train) [151][ 60/529] lr: 5.000000e-04 eta: 3:10:26 time: 0.356066 data_time: 0.033690 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.924593 2023/08/08 18:52:53 - mmengine - INFO - Epoch(train) [151][ 70/529] lr: 5.000000e-04 eta: 3:10:22 time: 0.358084 data_time: 0.033714 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.891672 2023/08/08 18:52:57 - mmengine - INFO - Epoch(train) [151][ 80/529] lr: 5.000000e-04 eta: 3:10:18 time: 0.356166 data_time: 0.032018 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.885648 2023/08/08 18:53:00 - mmengine - INFO - Epoch(train) [151][ 90/529] lr: 5.000000e-04 eta: 3:10:15 time: 0.356667 data_time: 0.031312 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.885360 2023/08/08 18:53:04 - mmengine - INFO - Epoch(train) [151][100/529] lr: 5.000000e-04 eta: 3:10:11 time: 0.357300 data_time: 0.031344 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.877545 2023/08/08 18:53:08 - mmengine - INFO - Epoch(train) [151][110/529] lr: 5.000000e-04 eta: 3:10:07 time: 0.359748 data_time: 0.031849 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.906533 2023/08/08 18:53:12 - mmengine - INFO - Epoch(train) [151][120/529] lr: 5.000000e-04 eta: 3:10:04 time: 0.369246 data_time: 0.032328 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.871228 2023/08/08 18:53:16 - mmengine - INFO - Epoch(train) [151][130/529] lr: 5.000000e-04 eta: 3:10:01 time: 0.376771 data_time: 0.033279 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.907173 2023/08/08 18:53:19 - mmengine - INFO - Epoch(train) [151][140/529] lr: 5.000000e-04 eta: 3:09:57 time: 0.379047 data_time: 0.032905 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.838404 2023/08/08 18:53:23 - mmengine - INFO - Epoch(train) [151][150/529] lr: 5.000000e-04 eta: 3:09:53 time: 0.379522 data_time: 0.033221 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.905896 2023/08/08 18:53:26 - mmengine - INFO - Epoch(train) [151][160/529] lr: 5.000000e-04 eta: 3:09:50 time: 0.376602 data_time: 0.032929 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.885776 2023/08/08 18:53:30 - mmengine - INFO - Epoch(train) [151][170/529] lr: 5.000000e-04 eta: 3:09:46 time: 0.368823 data_time: 0.033273 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.837086 2023/08/08 18:53:34 - mmengine - INFO - Epoch(train) [151][180/529] lr: 5.000000e-04 eta: 3:09:43 time: 0.361643 data_time: 0.032798 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.920906 2023/08/08 18:53:37 - mmengine - INFO - Epoch(train) [151][190/529] lr: 5.000000e-04 eta: 3:09:39 time: 0.357383 data_time: 0.032751 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.914669 2023/08/08 18:53:41 - mmengine - INFO - Epoch(train) [151][200/529] lr: 5.000000e-04 eta: 3:09:35 time: 0.354968 data_time: 0.032205 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.922237 2023/08/08 18:53:44 - mmengine - INFO - Epoch(train) [151][210/529] lr: 5.000000e-04 eta: 3:09:32 time: 0.354379 data_time: 0.032173 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.949754 2023/08/08 18:53:48 - mmengine - INFO - Epoch(train) [151][220/529] lr: 5.000000e-04 eta: 3:09:28 time: 0.352945 data_time: 0.031712 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.913163 2023/08/08 18:53:51 - mmengine - INFO - Epoch(train) [151][230/529] lr: 5.000000e-04 eta: 3:09:24 time: 0.353252 data_time: 0.031407 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.909540 2023/08/08 18:53:55 - mmengine - INFO - Epoch(train) [151][240/529] lr: 5.000000e-04 eta: 3:09:21 time: 0.354774 data_time: 0.031757 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.887724 2023/08/08 18:53:59 - mmengine - INFO - Epoch(train) [151][250/529] lr: 5.000000e-04 eta: 3:09:17 time: 0.361397 data_time: 0.031787 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.908875 2023/08/08 18:54:03 - mmengine - INFO - Epoch(train) [151][260/529] lr: 5.000000e-04 eta: 3:09:14 time: 0.369351 data_time: 0.031720 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.864427 2023/08/08 18:54:07 - mmengine - INFO - Epoch(train) [151][270/529] lr: 5.000000e-04 eta: 3:09:10 time: 0.379951 data_time: 0.031508 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.953654 2023/08/08 18:54:11 - mmengine - INFO - Epoch(train) [151][280/529] lr: 5.000000e-04 eta: 3:09:07 time: 0.385469 data_time: 0.031484 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.886634 2023/08/08 18:54:14 - mmengine - INFO - Epoch(train) [151][290/529] lr: 5.000000e-04 eta: 3:09:03 time: 0.387670 data_time: 0.031253 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.906065 2023/08/08 18:54:18 - mmengine - INFO - Epoch(train) [151][300/529] lr: 5.000000e-04 eta: 3:09:00 time: 0.383832 data_time: 0.031767 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.904187 2023/08/08 18:54:22 - mmengine - INFO - Epoch(train) [151][310/529] lr: 5.000000e-04 eta: 3:08:56 time: 0.382993 data_time: 0.032265 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.900315 2023/08/08 18:54:26 - mmengine - INFO - Epoch(train) [151][320/529] lr: 5.000000e-04 eta: 3:08:53 time: 0.378713 data_time: 0.032464 memory: 4565 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.902027 2023/08/08 18:54:30 - mmengine - INFO - Epoch(train) [151][330/529] lr: 5.000000e-04 eta: 3:08:49 time: 0.379802 data_time: 0.032736 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.945465 2023/08/08 18:54:34 - mmengine - INFO - Epoch(train) [151][340/529] lr: 5.000000e-04 eta: 3:08:46 time: 0.382791 data_time: 0.036891 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.926671 2023/08/08 18:54:37 - mmengine - INFO - Epoch(train) [151][350/529] lr: 5.000000e-04 eta: 3:08:42 time: 0.382588 data_time: 0.036485 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.860399 2023/08/08 18:54:41 - mmengine - INFO - Epoch(train) [151][360/529] lr: 5.000000e-04 eta: 3:08:38 time: 0.376165 data_time: 0.036272 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.919006 2023/08/08 18:54:44 - mmengine - INFO - Epoch(train) [151][370/529] lr: 5.000000e-04 eta: 3:08:35 time: 0.368676 data_time: 0.035992 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.860332 2023/08/08 18:54:48 - mmengine - INFO - Epoch(train) [151][380/529] lr: 5.000000e-04 eta: 3:08:31 time: 0.361031 data_time: 0.035700 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.840708 2023/08/08 18:54:51 - mmengine - INFO - Epoch(train) [151][390/529] lr: 5.000000e-04 eta: 3:08:27 time: 0.354324 data_time: 0.031976 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.886626 2023/08/08 18:54:55 - mmengine - INFO - Epoch(train) [151][400/529] lr: 5.000000e-04 eta: 3:08:24 time: 0.353987 data_time: 0.032482 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.905315 2023/08/08 18:54:58 - mmengine - INFO - Epoch(train) [151][410/529] lr: 5.000000e-04 eta: 3:08:20 time: 0.353117 data_time: 0.032363 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.911480 2023/08/08 18:55:02 - mmengine - INFO - Epoch(train) [151][420/529] lr: 5.000000e-04 eta: 3:08:17 time: 0.357949 data_time: 0.032661 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.933890 2023/08/08 18:55:06 - mmengine - INFO - Epoch(train) [151][430/529] lr: 5.000000e-04 eta: 3:08:13 time: 0.358679 data_time: 0.032866 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.834342 2023/08/08 18:55:09 - mmengine - INFO - Epoch(train) [151][440/529] lr: 5.000000e-04 eta: 3:08:09 time: 0.359583 data_time: 0.032342 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.917459 2023/08/08 18:55:13 - mmengine - INFO - Epoch(train) [151][450/529] lr: 5.000000e-04 eta: 3:08:06 time: 0.366701 data_time: 0.032764 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.917394 2023/08/08 18:55:17 - mmengine - INFO - Epoch(train) [151][460/529] lr: 5.000000e-04 eta: 3:08:02 time: 0.375535 data_time: 0.033009 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.903637 2023/08/08 18:55:21 - mmengine - INFO - Epoch(train) [151][470/529] lr: 5.000000e-04 eta: 3:07:59 time: 0.375226 data_time: 0.033702 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.907205 2023/08/08 18:55:25 - mmengine - INFO - Epoch(train) [151][480/529] lr: 5.000000e-04 eta: 3:07:55 time: 0.380692 data_time: 0.034523 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.905242 2023/08/08 18:55:28 - mmengine - INFO - Epoch(train) [151][490/529] lr: 5.000000e-04 eta: 3:07:52 time: 0.380420 data_time: 0.034813 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.918460 2023/08/08 18:55:32 - mmengine - INFO - Epoch(train) [151][500/529] lr: 5.000000e-04 eta: 3:07:48 time: 0.373204 data_time: 0.033911 memory: 4565 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.879242 2023/08/08 18:55:36 - mmengine - INFO - Epoch(train) [151][510/529] lr: 5.000000e-04 eta: 3:07:45 time: 0.367490 data_time: 0.033462 memory: 4565 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.930956 2023/08/08 18:55:39 - mmengine - INFO - Epoch(train) [151][520/529] lr: 5.000000e-04 eta: 3:07:41 time: 0.363364 data_time: 0.032541 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.891085 2023/08/08 18:55:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:55:46 - mmengine - INFO - Epoch(train) [152][ 10/529] lr: 5.000000e-04 eta: 3:07:34 time: 0.367887 data_time: 0.035336 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.912181 2023/08/08 18:55:50 - mmengine - INFO - Epoch(train) [152][ 20/529] lr: 5.000000e-04 eta: 3:07:31 time: 0.367500 data_time: 0.035824 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.942573 2023/08/08 18:55:53 - mmengine - INFO - Epoch(train) [152][ 30/529] lr: 5.000000e-04 eta: 3:07:27 time: 0.364878 data_time: 0.036355 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.967471 2023/08/08 18:55:57 - mmengine - INFO - Epoch(train) [152][ 40/529] lr: 5.000000e-04 eta: 3:07:23 time: 0.366114 data_time: 0.036533 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.887849 2023/08/08 18:56:01 - mmengine - INFO - Epoch(train) [152][ 50/529] lr: 5.000000e-04 eta: 3:07:20 time: 0.373823 data_time: 0.036369 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.937810 2023/08/08 18:56:05 - mmengine - INFO - Epoch(train) [152][ 60/529] lr: 5.000000e-04 eta: 3:07:16 time: 0.366124 data_time: 0.032526 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.913426 2023/08/08 18:56:08 - mmengine - INFO - Epoch(train) [152][ 70/529] lr: 5.000000e-04 eta: 3:07:13 time: 0.366513 data_time: 0.031891 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.940237 2023/08/08 18:56:12 - mmengine - INFO - Epoch(train) [152][ 80/529] lr: 5.000000e-04 eta: 3:07:09 time: 0.368584 data_time: 0.031647 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.931045 2023/08/08 18:56:15 - mmengine - INFO - Epoch(train) [152][ 90/529] lr: 5.000000e-04 eta: 3:07:05 time: 0.366536 data_time: 0.031259 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.887376 2023/08/08 18:56:19 - mmengine - INFO - Epoch(train) [152][100/529] lr: 5.000000e-04 eta: 3:07:02 time: 0.359812 data_time: 0.031529 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.943258 2023/08/08 18:56:22 - mmengine - INFO - Epoch(train) [152][110/529] lr: 5.000000e-04 eta: 3:06:58 time: 0.355643 data_time: 0.031026 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.923219 2023/08/08 18:56:26 - mmengine - INFO - Epoch(train) [152][120/529] lr: 5.000000e-04 eta: 3:06:55 time: 0.356181 data_time: 0.031151 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.946184 2023/08/08 18:56:26 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:56:30 - mmengine - INFO - Epoch(train) [152][130/529] lr: 5.000000e-04 eta: 3:06:51 time: 0.354046 data_time: 0.031141 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.970750 2023/08/08 18:56:33 - mmengine - INFO - Epoch(train) [152][140/529] lr: 5.000000e-04 eta: 3:06:47 time: 0.355931 data_time: 0.031463 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.916046 2023/08/08 18:56:37 - mmengine - INFO - Epoch(train) [152][150/529] lr: 5.000000e-04 eta: 3:06:44 time: 0.356285 data_time: 0.031968 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.942270 2023/08/08 18:56:40 - mmengine - INFO - Epoch(train) [152][160/529] lr: 5.000000e-04 eta: 3:06:40 time: 0.356721 data_time: 0.032228 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.890919 2023/08/08 18:56:44 - mmengine - INFO - Epoch(train) [152][170/529] lr: 5.000000e-04 eta: 3:06:36 time: 0.354957 data_time: 0.031956 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.893891 2023/08/08 18:56:47 - mmengine - INFO - Epoch(train) [152][180/529] lr: 5.000000e-04 eta: 3:06:33 time: 0.354318 data_time: 0.031793 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.889496 2023/08/08 18:56:51 - mmengine - INFO - Epoch(train) [152][190/529] lr: 5.000000e-04 eta: 3:06:29 time: 0.357209 data_time: 0.031734 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.942363 2023/08/08 18:56:55 - mmengine - INFO - Epoch(train) [152][200/529] lr: 5.000000e-04 eta: 3:06:26 time: 0.357445 data_time: 0.031949 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.929044 2023/08/08 18:56:58 - mmengine - INFO - Epoch(train) [152][210/529] lr: 5.000000e-04 eta: 3:06:22 time: 0.359464 data_time: 0.032005 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.887787 2023/08/08 18:57:02 - mmengine - INFO - Epoch(train) [152][220/529] lr: 5.000000e-04 eta: 3:06:18 time: 0.361952 data_time: 0.032135 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.848781 2023/08/08 18:57:05 - mmengine - INFO - Epoch(train) [152][230/529] lr: 5.000000e-04 eta: 3:06:15 time: 0.362234 data_time: 0.031976 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.914444 2023/08/08 18:57:09 - mmengine - INFO - Epoch(train) [152][240/529] lr: 5.000000e-04 eta: 3:06:11 time: 0.358352 data_time: 0.031932 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.829702 2023/08/08 18:57:13 - mmengine - INFO - Epoch(train) [152][250/529] lr: 5.000000e-04 eta: 3:06:08 time: 0.358867 data_time: 0.031118 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.914092 2023/08/08 18:57:16 - mmengine - INFO - Epoch(train) [152][260/529] lr: 5.000000e-04 eta: 3:06:04 time: 0.357619 data_time: 0.031142 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.948592 2023/08/08 18:57:20 - mmengine - INFO - Epoch(train) [152][270/529] lr: 5.000000e-04 eta: 3:06:00 time: 0.358373 data_time: 0.031380 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.920240 2023/08/08 18:57:23 - mmengine - INFO - Epoch(train) [152][280/529] lr: 5.000000e-04 eta: 3:05:57 time: 0.358294 data_time: 0.031438 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.865719 2023/08/08 18:57:27 - mmengine - INFO - Epoch(train) [152][290/529] lr: 5.000000e-04 eta: 3:05:53 time: 0.357701 data_time: 0.031316 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.917388 2023/08/08 18:57:30 - mmengine - INFO - Epoch(train) [152][300/529] lr: 5.000000e-04 eta: 3:05:49 time: 0.355772 data_time: 0.031688 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.898519 2023/08/08 18:57:34 - mmengine - INFO - Epoch(train) [152][310/529] lr: 5.000000e-04 eta: 3:05:46 time: 0.355653 data_time: 0.031830 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.914304 2023/08/08 18:57:38 - mmengine - INFO - Epoch(train) [152][320/529] lr: 5.000000e-04 eta: 3:05:42 time: 0.353559 data_time: 0.031791 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.900887 2023/08/08 18:57:41 - mmengine - INFO - Epoch(train) [152][330/529] lr: 5.000000e-04 eta: 3:05:39 time: 0.354715 data_time: 0.031932 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.891793 2023/08/08 18:57:45 - mmengine - INFO - Epoch(train) [152][340/529] lr: 5.000000e-04 eta: 3:05:35 time: 0.362049 data_time: 0.032304 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.923671 2023/08/08 18:57:49 - mmengine - INFO - Epoch(train) [152][350/529] lr: 5.000000e-04 eta: 3:05:31 time: 0.363595 data_time: 0.032042 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.923276 2023/08/08 18:57:52 - mmengine - INFO - Epoch(train) [152][360/529] lr: 5.000000e-04 eta: 3:05:28 time: 0.367085 data_time: 0.035054 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.956731 2023/08/08 18:57:56 - mmengine - INFO - Epoch(train) [152][370/529] lr: 5.000000e-04 eta: 3:05:24 time: 0.365738 data_time: 0.034835 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.921172 2023/08/08 18:57:59 - mmengine - INFO - Epoch(train) [152][380/529] lr: 5.000000e-04 eta: 3:05:21 time: 0.365768 data_time: 0.035002 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.903765 2023/08/08 18:58:03 - mmengine - INFO - Epoch(train) [152][390/529] lr: 5.000000e-04 eta: 3:05:17 time: 0.358919 data_time: 0.035032 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.907083 2023/08/08 18:58:07 - mmengine - INFO - Epoch(train) [152][400/529] lr: 5.000000e-04 eta: 3:05:13 time: 0.362828 data_time: 0.035234 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.905248 2023/08/08 18:58:10 - mmengine - INFO - Epoch(train) [152][410/529] lr: 5.000000e-04 eta: 3:05:10 time: 0.359207 data_time: 0.032582 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.920228 2023/08/08 18:58:14 - mmengine - INFO - Epoch(train) [152][420/529] lr: 5.000000e-04 eta: 3:05:06 time: 0.359761 data_time: 0.032441 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.927176 2023/08/08 18:58:17 - mmengine - INFO - Epoch(train) [152][430/529] lr: 5.000000e-04 eta: 3:05:03 time: 0.357581 data_time: 0.032138 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.954013 2023/08/08 18:58:21 - mmengine - INFO - Epoch(train) [152][440/529] lr: 5.000000e-04 eta: 3:04:59 time: 0.358461 data_time: 0.032657 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.897658 2023/08/08 18:58:24 - mmengine - INFO - Epoch(train) [152][450/529] lr: 5.000000e-04 eta: 3:04:55 time: 0.354162 data_time: 0.033084 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.956241 2023/08/08 18:58:28 - mmengine - INFO - Epoch(train) [152][460/529] lr: 5.000000e-04 eta: 3:04:52 time: 0.359788 data_time: 0.033035 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.927976 2023/08/08 18:58:32 - mmengine - INFO - Epoch(train) [152][470/529] lr: 5.000000e-04 eta: 3:04:48 time: 0.368893 data_time: 0.033637 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.924749 2023/08/08 18:58:36 - mmengine - INFO - Epoch(train) [152][480/529] lr: 5.000000e-04 eta: 3:04:45 time: 0.375673 data_time: 0.033968 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.879903 2023/08/08 18:58:40 - mmengine - INFO - Epoch(train) [152][490/529] lr: 5.000000e-04 eta: 3:04:41 time: 0.373337 data_time: 0.033166 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.925010 2023/08/08 18:58:43 - mmengine - INFO - Epoch(train) [152][500/529] lr: 5.000000e-04 eta: 3:04:37 time: 0.371323 data_time: 0.032649 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.847613 2023/08/08 18:58:47 - mmengine - INFO - Epoch(train) [152][510/529] lr: 5.000000e-04 eta: 3:04:34 time: 0.366025 data_time: 0.032033 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.938946 2023/08/08 18:58:50 - mmengine - INFO - Epoch(train) [152][520/529] lr: 5.000000e-04 eta: 3:04:30 time: 0.358408 data_time: 0.031630 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.963939 2023/08/08 18:58:53 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 18:58:57 - mmengine - INFO - Epoch(train) [153][ 10/529] lr: 5.000000e-04 eta: 3:04:23 time: 0.357022 data_time: 0.035088 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.945109 2023/08/08 18:59:01 - mmengine - INFO - Epoch(train) [153][ 20/529] lr: 5.000000e-04 eta: 3:04:20 time: 0.356658 data_time: 0.034944 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.906211 2023/08/08 18:59:04 - mmengine - INFO - Epoch(train) [153][ 30/529] lr: 5.000000e-04 eta: 3:04:16 time: 0.354651 data_time: 0.034743 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.916920 2023/08/08 18:59:08 - mmengine - INFO - Epoch(train) [153][ 40/529] lr: 5.000000e-04 eta: 3:04:12 time: 0.355382 data_time: 0.034859 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.903782 2023/08/08 18:59:11 - mmengine - INFO - Epoch(train) [153][ 50/529] lr: 5.000000e-04 eta: 3:04:09 time: 0.354171 data_time: 0.034660 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.917832 2023/08/08 18:59:15 - mmengine - INFO - Epoch(train) [153][ 60/529] lr: 5.000000e-04 eta: 3:04:05 time: 0.355992 data_time: 0.035738 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.938470 2023/08/08 18:59:18 - mmengine - INFO - Epoch(train) [153][ 70/529] lr: 5.000000e-04 eta: 3:04:02 time: 0.356289 data_time: 0.036070 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.917773 2023/08/08 18:59:22 - mmengine - INFO - Epoch(train) [153][ 80/529] lr: 5.000000e-04 eta: 3:03:58 time: 0.357492 data_time: 0.036322 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.922181 2023/08/08 18:59:26 - mmengine - INFO - Epoch(train) [153][ 90/529] lr: 5.000000e-04 eta: 3:03:54 time: 0.356361 data_time: 0.036487 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.897213 2023/08/08 18:59:29 - mmengine - INFO - Epoch(train) [153][100/529] lr: 5.000000e-04 eta: 3:03:51 time: 0.357097 data_time: 0.036956 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.920573 2023/08/08 18:59:33 - mmengine - INFO - Epoch(train) [153][110/529] lr: 5.000000e-04 eta: 3:03:47 time: 0.352886 data_time: 0.032560 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.866376 2023/08/08 18:59:36 - mmengine - INFO - Epoch(train) [153][120/529] lr: 5.000000e-04 eta: 3:03:43 time: 0.353363 data_time: 0.032409 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.926744 2023/08/08 18:59:40 - mmengine - INFO - Epoch(train) [153][130/529] lr: 5.000000e-04 eta: 3:03:40 time: 0.353101 data_time: 0.032287 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.896431 2023/08/08 18:59:43 - mmengine - INFO - Epoch(train) [153][140/529] lr: 5.000000e-04 eta: 3:03:36 time: 0.349837 data_time: 0.031965 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.920707 2023/08/08 18:59:46 - mmengine - INFO - Epoch(train) [153][150/529] lr: 5.000000e-04 eta: 3:03:32 time: 0.348927 data_time: 0.031512 memory: 4565 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.886992 2023/08/08 18:59:50 - mmengine - INFO - Epoch(train) [153][160/529] lr: 5.000000e-04 eta: 3:03:29 time: 0.345408 data_time: 0.031143 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.929504 2023/08/08 18:59:53 - mmengine - INFO - Epoch(train) [153][170/529] lr: 5.000000e-04 eta: 3:03:25 time: 0.346473 data_time: 0.031101 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.902736 2023/08/08 18:59:57 - mmengine - INFO - Epoch(train) [153][180/529] lr: 5.000000e-04 eta: 3:03:21 time: 0.345338 data_time: 0.030999 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.894306 2023/08/08 19:00:01 - mmengine - INFO - Epoch(train) [153][190/529] lr: 5.000000e-04 eta: 3:03:18 time: 0.349896 data_time: 0.031533 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.947134 2023/08/08 19:00:04 - mmengine - INFO - Epoch(train) [153][200/529] lr: 5.000000e-04 eta: 3:03:14 time: 0.351182 data_time: 0.031612 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.869172 2023/08/08 19:00:08 - mmengine - INFO - Epoch(train) [153][210/529] lr: 5.000000e-04 eta: 3:03:11 time: 0.356547 data_time: 0.031586 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.917067 2023/08/08 19:00:11 - mmengine - INFO - Epoch(train) [153][220/529] lr: 5.000000e-04 eta: 3:03:07 time: 0.359621 data_time: 0.031511 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.923128 2023/08/08 19:00:15 - mmengine - INFO - Epoch(train) [153][230/529] lr: 5.000000e-04 eta: 3:03:04 time: 0.369196 data_time: 0.031541 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.902863 2023/08/08 19:00:19 - mmengine - INFO - Epoch(train) [153][240/529] lr: 5.000000e-04 eta: 3:03:00 time: 0.366592 data_time: 0.031296 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.925154 2023/08/08 19:00:22 - mmengine - INFO - Epoch(train) [153][250/529] lr: 5.000000e-04 eta: 3:02:56 time: 0.366500 data_time: 0.031536 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.897849 2023/08/08 19:00:26 - mmengine - INFO - Epoch(train) [153][260/529] lr: 5.000000e-04 eta: 3:02:53 time: 0.363017 data_time: 0.032057 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.912940 2023/08/08 19:00:29 - mmengine - INFO - Epoch(train) [153][270/529] lr: 5.000000e-04 eta: 3:02:49 time: 0.358167 data_time: 0.032022 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.943188 2023/08/08 19:00:33 - mmengine - INFO - Epoch(train) [153][280/529] lr: 5.000000e-04 eta: 3:02:45 time: 0.348915 data_time: 0.031989 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.876823 2023/08/08 19:00:36 - mmengine - INFO - Epoch(train) [153][290/529] lr: 5.000000e-04 eta: 3:02:42 time: 0.346641 data_time: 0.031762 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.868532 2023/08/08 19:00:40 - mmengine - INFO - Epoch(train) [153][300/529] lr: 5.000000e-04 eta: 3:02:38 time: 0.345847 data_time: 0.031595 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.901880 2023/08/08 19:00:43 - mmengine - INFO - Epoch(train) [153][310/529] lr: 5.000000e-04 eta: 3:02:34 time: 0.344199 data_time: 0.031155 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.818372 2023/08/08 19:00:47 - mmengine - INFO - Epoch(train) [153][320/529] lr: 5.000000e-04 eta: 3:02:31 time: 0.347340 data_time: 0.032170 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.923786 2023/08/08 19:00:50 - mmengine - INFO - Epoch(train) [153][330/529] lr: 5.000000e-04 eta: 3:02:27 time: 0.347062 data_time: 0.032378 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.860001 2023/08/08 19:00:54 - mmengine - INFO - Epoch(train) [153][340/529] lr: 5.000000e-04 eta: 3:02:23 time: 0.348118 data_time: 0.032415 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.952714 2023/08/08 19:00:57 - mmengine - INFO - Epoch(train) [153][350/529] lr: 5.000000e-04 eta: 3:02:20 time: 0.348933 data_time: 0.032378 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.902966 2023/08/08 19:01:01 - mmengine - INFO - Epoch(train) [153][360/529] lr: 5.000000e-04 eta: 3:02:16 time: 0.353484 data_time: 0.032423 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.857195 2023/08/08 19:01:05 - mmengine - INFO - Epoch(train) [153][370/529] lr: 5.000000e-04 eta: 3:02:13 time: 0.357261 data_time: 0.032757 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.897190 2023/08/08 19:01:08 - mmengine - INFO - Epoch(train) [153][380/529] lr: 5.000000e-04 eta: 3:02:09 time: 0.360401 data_time: 0.032859 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.921431 2023/08/08 19:01:12 - mmengine - INFO - Epoch(train) [153][390/529] lr: 5.000000e-04 eta: 3:02:05 time: 0.361543 data_time: 0.033103 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.915581 2023/08/08 19:01:15 - mmengine - INFO - Epoch(train) [153][400/529] lr: 5.000000e-04 eta: 3:02:02 time: 0.364903 data_time: 0.033319 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.940676 2023/08/08 19:01:19 - mmengine - INFO - Epoch(train) [153][410/529] lr: 5.000000e-04 eta: 3:01:58 time: 0.370170 data_time: 0.033270 memory: 4565 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.854478 2023/08/08 19:01:23 - mmengine - INFO - Epoch(train) [153][420/529] lr: 5.000000e-04 eta: 3:01:55 time: 0.372977 data_time: 0.032004 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.890306 2023/08/08 19:01:27 - mmengine - INFO - Epoch(train) [153][430/529] lr: 5.000000e-04 eta: 3:01:51 time: 0.376570 data_time: 0.032467 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.882079 2023/08/08 19:01:31 - mmengine - INFO - Epoch(train) [153][440/529] lr: 5.000000e-04 eta: 3:01:48 time: 0.376204 data_time: 0.032966 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.891663 2023/08/08 19:01:34 - mmengine - INFO - Epoch(train) [153][450/529] lr: 5.000000e-04 eta: 3:01:44 time: 0.373822 data_time: 0.033170 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.878652 2023/08/08 19:01:38 - mmengine - INFO - Epoch(train) [153][460/529] lr: 5.000000e-04 eta: 3:01:40 time: 0.364040 data_time: 0.033143 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.913041 2023/08/08 19:01:41 - mmengine - INFO - Epoch(train) [153][470/529] lr: 5.000000e-04 eta: 3:01:37 time: 0.354957 data_time: 0.033183 memory: 4565 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.894153 2023/08/08 19:01:45 - mmengine - INFO - Epoch(train) [153][480/529] lr: 5.000000e-04 eta: 3:01:33 time: 0.349837 data_time: 0.032817 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.923543 2023/08/08 19:01:48 - mmengine - INFO - Epoch(train) [153][490/529] lr: 5.000000e-04 eta: 3:01:29 time: 0.351457 data_time: 0.032702 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.892952 2023/08/08 19:01:52 - mmengine - INFO - Epoch(train) [153][500/529] lr: 5.000000e-04 eta: 3:01:26 time: 0.351306 data_time: 0.032330 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.911237 2023/08/08 19:01:55 - mmengine - INFO - Epoch(train) [153][510/529] lr: 5.000000e-04 eta: 3:01:22 time: 0.358025 data_time: 0.032782 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.929578 2023/08/08 19:01:59 - mmengine - INFO - Epoch(train) [153][520/529] lr: 5.000000e-04 eta: 3:01:19 time: 0.360413 data_time: 0.033830 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.916632 2023/08/08 19:02:02 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:02:06 - mmengine - INFO - Epoch(train) [154][ 10/529] lr: 5.000000e-04 eta: 3:01:12 time: 0.362689 data_time: 0.037926 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.894773 2023/08/08 19:02:10 - mmengine - INFO - Epoch(train) [154][ 20/529] lr: 5.000000e-04 eta: 3:01:08 time: 0.363858 data_time: 0.038194 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.950577 2023/08/08 19:02:13 - mmengine - INFO - Epoch(train) [154][ 30/529] lr: 5.000000e-04 eta: 3:01:05 time: 0.367724 data_time: 0.038370 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.921835 2023/08/08 19:02:17 - mmengine - INFO - Epoch(train) [154][ 40/529] lr: 5.000000e-04 eta: 3:01:01 time: 0.374831 data_time: 0.037666 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.892733 2023/08/08 19:02:21 - mmengine - INFO - Epoch(train) [154][ 50/529] lr: 5.000000e-04 eta: 3:00:58 time: 0.380965 data_time: 0.037465 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.956347 2023/08/08 19:02:25 - mmengine - INFO - Epoch(train) [154][ 60/529] lr: 5.000000e-04 eta: 3:00:54 time: 0.375514 data_time: 0.032986 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.949661 2023/08/08 19:02:26 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:02:28 - mmengine - INFO - Epoch(train) [154][ 70/529] lr: 5.000000e-04 eta: 3:00:50 time: 0.374378 data_time: 0.032730 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.840003 2023/08/08 19:02:32 - mmengine - INFO - Epoch(train) [154][ 80/529] lr: 5.000000e-04 eta: 3:00:47 time: 0.366415 data_time: 0.032503 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.936549 2023/08/08 19:02:35 - mmengine - INFO - Epoch(train) [154][ 90/529] lr: 5.000000e-04 eta: 3:00:43 time: 0.359161 data_time: 0.032296 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.933522 2023/08/08 19:02:39 - mmengine - INFO - Epoch(train) [154][100/529] lr: 5.000000e-04 eta: 3:00:39 time: 0.355165 data_time: 0.031771 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.924204 2023/08/08 19:02:43 - mmengine - INFO - Epoch(train) [154][110/529] lr: 5.000000e-04 eta: 3:00:36 time: 0.358524 data_time: 0.031750 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.887978 2023/08/08 19:02:47 - mmengine - INFO - Epoch(train) [154][120/529] lr: 5.000000e-04 eta: 3:00:32 time: 0.366581 data_time: 0.031470 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.919407 2023/08/08 19:02:50 - mmengine - INFO - Epoch(train) [154][130/529] lr: 5.000000e-04 eta: 3:00:29 time: 0.367969 data_time: 0.030984 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.889007 2023/08/08 19:02:54 - mmengine - INFO - Epoch(train) [154][140/529] lr: 5.000000e-04 eta: 3:00:25 time: 0.365955 data_time: 0.030982 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.882561 2023/08/08 19:02:57 - mmengine - INFO - Epoch(train) [154][150/529] lr: 5.000000e-04 eta: 3:00:22 time: 0.368084 data_time: 0.031874 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.927119 2023/08/08 19:03:01 - mmengine - INFO - Epoch(train) [154][160/529] lr: 5.000000e-04 eta: 3:00:18 time: 0.365027 data_time: 0.031785 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.896440 2023/08/08 19:03:05 - mmengine - INFO - Epoch(train) [154][170/529] lr: 5.000000e-04 eta: 3:00:14 time: 0.358666 data_time: 0.032505 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.940243 2023/08/08 19:03:08 - mmengine - INFO - Epoch(train) [154][180/529] lr: 5.000000e-04 eta: 3:00:11 time: 0.360769 data_time: 0.035988 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.916828 2023/08/08 19:03:12 - mmengine - INFO - Epoch(train) [154][190/529] lr: 5.000000e-04 eta: 3:00:07 time: 0.361000 data_time: 0.036123 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.933493 2023/08/08 19:03:15 - mmengine - INFO - Epoch(train) [154][200/529] lr: 5.000000e-04 eta: 3:00:04 time: 0.358240 data_time: 0.035292 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.885782 2023/08/08 19:03:19 - mmengine - INFO - Epoch(train) [154][210/529] lr: 5.000000e-04 eta: 3:00:00 time: 0.362661 data_time: 0.035411 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.901192 2023/08/08 19:03:23 - mmengine - INFO - Epoch(train) [154][220/529] lr: 5.000000e-04 eta: 2:59:56 time: 0.361757 data_time: 0.035131 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.917974 2023/08/08 19:03:26 - mmengine - INFO - Epoch(train) [154][230/529] lr: 5.000000e-04 eta: 2:59:53 time: 0.363258 data_time: 0.032202 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.888693 2023/08/08 19:03:30 - mmengine - INFO - Epoch(train) [154][240/529] lr: 5.000000e-04 eta: 2:59:49 time: 0.365719 data_time: 0.032465 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.879964 2023/08/08 19:03:34 - mmengine - INFO - Epoch(train) [154][250/529] lr: 5.000000e-04 eta: 2:59:46 time: 0.372936 data_time: 0.032947 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.911330 2023/08/08 19:03:38 - mmengine - INFO - Epoch(train) [154][260/529] lr: 5.000000e-04 eta: 2:59:42 time: 0.369641 data_time: 0.032973 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.938226 2023/08/08 19:03:41 - mmengine - INFO - Epoch(train) [154][270/529] lr: 5.000000e-04 eta: 2:59:38 time: 0.369023 data_time: 0.032593 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.937181 2023/08/08 19:03:45 - mmengine - INFO - Epoch(train) [154][280/529] lr: 5.000000e-04 eta: 2:59:35 time: 0.369533 data_time: 0.032573 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.858753 2023/08/08 19:03:49 - mmengine - INFO - Epoch(train) [154][290/529] lr: 5.000000e-04 eta: 2:59:32 time: 0.379653 data_time: 0.036073 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.919816 2023/08/08 19:03:53 - mmengine - INFO - Epoch(train) [154][300/529] lr: 5.000000e-04 eta: 2:59:28 time: 0.381694 data_time: 0.035951 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.915810 2023/08/08 19:03:57 - mmengine - INFO - Epoch(train) [154][310/529] lr: 5.000000e-04 eta: 2:59:25 time: 0.387481 data_time: 0.036194 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.901103 2023/08/08 19:04:01 - mmengine - INFO - Epoch(train) [154][320/529] lr: 5.000000e-04 eta: 2:59:21 time: 0.391386 data_time: 0.036770 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.933982 2023/08/08 19:04:04 - mmengine - INFO - Epoch(train) [154][330/529] lr: 5.000000e-04 eta: 2:59:17 time: 0.386721 data_time: 0.036803 memory: 4565 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.938487 2023/08/08 19:04:08 - mmengine - INFO - Epoch(train) [154][340/529] lr: 5.000000e-04 eta: 2:59:14 time: 0.374042 data_time: 0.033389 memory: 4565 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.940782 2023/08/08 19:04:12 - mmengine - INFO - Epoch(train) [154][350/529] lr: 5.000000e-04 eta: 2:59:10 time: 0.375028 data_time: 0.033946 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.951769 2023/08/08 19:04:15 - mmengine - INFO - Epoch(train) [154][360/529] lr: 5.000000e-04 eta: 2:59:07 time: 0.368989 data_time: 0.034061 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.872978 2023/08/08 19:04:19 - mmengine - INFO - Epoch(train) [154][370/529] lr: 5.000000e-04 eta: 2:59:03 time: 0.364631 data_time: 0.033625 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.913164 2023/08/08 19:04:22 - mmengine - INFO - Epoch(train) [154][380/529] lr: 5.000000e-04 eta: 2:58:59 time: 0.362999 data_time: 0.033139 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.948270 2023/08/08 19:04:26 - mmengine - INFO - Epoch(train) [154][390/529] lr: 5.000000e-04 eta: 2:58:56 time: 0.364326 data_time: 0.032536 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.905542 2023/08/08 19:04:30 - mmengine - INFO - Epoch(train) [154][400/529] lr: 5.000000e-04 eta: 2:58:52 time: 0.359686 data_time: 0.031767 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.905548 2023/08/08 19:04:33 - mmengine - INFO - Epoch(train) [154][410/529] lr: 5.000000e-04 eta: 2:58:49 time: 0.360135 data_time: 0.031790 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.909735 2023/08/08 19:04:37 - mmengine - INFO - Epoch(train) [154][420/529] lr: 5.000000e-04 eta: 2:58:45 time: 0.362583 data_time: 0.032086 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.840675 2023/08/08 19:04:41 - mmengine - INFO - Epoch(train) [154][430/529] lr: 5.000000e-04 eta: 2:58:41 time: 0.361802 data_time: 0.032131 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.882686 2023/08/08 19:04:44 - mmengine - INFO - Epoch(train) [154][440/529] lr: 5.000000e-04 eta: 2:58:38 time: 0.359399 data_time: 0.032121 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.833748 2023/08/08 19:04:47 - mmengine - INFO - Epoch(train) [154][450/529] lr: 5.000000e-04 eta: 2:58:34 time: 0.352840 data_time: 0.032103 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.921865 2023/08/08 19:04:51 - mmengine - INFO - Epoch(train) [154][460/529] lr: 5.000000e-04 eta: 2:58:30 time: 0.352980 data_time: 0.032013 memory: 4565 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.904848 2023/08/08 19:04:55 - mmengine - INFO - Epoch(train) [154][470/529] lr: 5.000000e-04 eta: 2:58:27 time: 0.351778 data_time: 0.031717 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.893346 2023/08/08 19:04:58 - mmengine - INFO - Epoch(train) [154][480/529] lr: 5.000000e-04 eta: 2:58:23 time: 0.355802 data_time: 0.031990 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.883637 2023/08/08 19:05:02 - mmengine - INFO - Epoch(train) [154][490/529] lr: 5.000000e-04 eta: 2:58:20 time: 0.360550 data_time: 0.032195 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.918432 2023/08/08 19:05:06 - mmengine - INFO - Epoch(train) [154][500/529] lr: 5.000000e-04 eta: 2:58:16 time: 0.361303 data_time: 0.033050 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.849777 2023/08/08 19:05:09 - mmengine - INFO - Epoch(train) [154][510/529] lr: 5.000000e-04 eta: 2:58:12 time: 0.362064 data_time: 0.033233 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.889203 2023/08/08 19:05:13 - mmengine - INFO - Epoch(train) [154][520/529] lr: 5.000000e-04 eta: 2:58:09 time: 0.366266 data_time: 0.033583 memory: 4565 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.930084 2023/08/08 19:05:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:05:20 - mmengine - INFO - Epoch(train) [155][ 10/529] lr: 5.000000e-04 eta: 2:58:02 time: 0.363867 data_time: 0.038151 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.908278 2023/08/08 19:05:24 - mmengine - INFO - Epoch(train) [155][ 20/529] lr: 5.000000e-04 eta: 2:57:58 time: 0.365829 data_time: 0.037654 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.867524 2023/08/08 19:05:27 - mmengine - INFO - Epoch(train) [155][ 30/529] lr: 5.000000e-04 eta: 2:57:55 time: 0.366524 data_time: 0.037579 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.923377 2023/08/08 19:05:31 - mmengine - INFO - Epoch(train) [155][ 40/529] lr: 5.000000e-04 eta: 2:57:51 time: 0.361803 data_time: 0.037699 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.929735 2023/08/08 19:05:34 - mmengine - INFO - Epoch(train) [155][ 50/529] lr: 5.000000e-04 eta: 2:57:48 time: 0.361607 data_time: 0.037997 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.922967 2023/08/08 19:05:38 - mmengine - INFO - Epoch(train) [155][ 60/529] lr: 5.000000e-04 eta: 2:57:44 time: 0.359937 data_time: 0.032792 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.918360 2023/08/08 19:05:42 - mmengine - INFO - Epoch(train) [155][ 70/529] lr: 5.000000e-04 eta: 2:57:40 time: 0.363403 data_time: 0.032288 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.906597 2023/08/08 19:05:45 - mmengine - INFO - Epoch(train) [155][ 80/529] lr: 5.000000e-04 eta: 2:57:37 time: 0.362821 data_time: 0.032186 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.898157 2023/08/08 19:05:49 - mmengine - INFO - Epoch(train) [155][ 90/529] lr: 5.000000e-04 eta: 2:57:33 time: 0.361809 data_time: 0.031592 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.846499 2023/08/08 19:05:52 - mmengine - INFO - Epoch(train) [155][100/529] lr: 5.000000e-04 eta: 2:57:30 time: 0.362012 data_time: 0.031542 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.915077 2023/08/08 19:05:56 - mmengine - INFO - Epoch(train) [155][110/529] lr: 5.000000e-04 eta: 2:57:26 time: 0.358544 data_time: 0.031386 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.903397 2023/08/08 19:05:59 - mmengine - INFO - Epoch(train) [155][120/529] lr: 5.000000e-04 eta: 2:57:22 time: 0.355219 data_time: 0.031582 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.920128 2023/08/08 19:06:03 - mmengine - INFO - Epoch(train) [155][130/529] lr: 5.000000e-04 eta: 2:57:19 time: 0.352649 data_time: 0.031100 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.931383 2023/08/08 19:06:07 - mmengine - INFO - Epoch(train) [155][140/529] lr: 5.000000e-04 eta: 2:57:15 time: 0.353508 data_time: 0.031402 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.931384 2023/08/08 19:06:10 - mmengine - INFO - Epoch(train) [155][150/529] lr: 5.000000e-04 eta: 2:57:11 time: 0.356394 data_time: 0.031758 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.875146 2023/08/08 19:06:14 - mmengine - INFO - Epoch(train) [155][160/529] lr: 5.000000e-04 eta: 2:57:08 time: 0.356725 data_time: 0.031752 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.927644 2023/08/08 19:06:17 - mmengine - INFO - Epoch(train) [155][170/529] lr: 5.000000e-04 eta: 2:57:04 time: 0.358154 data_time: 0.031799 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.841198 2023/08/08 19:06:21 - mmengine - INFO - Epoch(train) [155][180/529] lr: 5.000000e-04 eta: 2:57:01 time: 0.366143 data_time: 0.032042 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.869389 2023/08/08 19:06:25 - mmengine - INFO - Epoch(train) [155][190/529] lr: 5.000000e-04 eta: 2:56:57 time: 0.373540 data_time: 0.032235 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.895811 2023/08/08 19:06:29 - mmengine - INFO - Epoch(train) [155][200/529] lr: 5.000000e-04 eta: 2:56:54 time: 0.378462 data_time: 0.032236 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.844205 2023/08/08 19:06:33 - mmengine - INFO - Epoch(train) [155][210/529] lr: 5.000000e-04 eta: 2:56:50 time: 0.378913 data_time: 0.032425 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.879794 2023/08/08 19:06:36 - mmengine - INFO - Epoch(train) [155][220/529] lr: 5.000000e-04 eta: 2:56:46 time: 0.375326 data_time: 0.032325 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.938253 2023/08/08 19:06:40 - mmengine - INFO - Epoch(train) [155][230/529] lr: 5.000000e-04 eta: 2:56:43 time: 0.367350 data_time: 0.032001 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.910941 2023/08/08 19:06:43 - mmengine - INFO - Epoch(train) [155][240/529] lr: 5.000000e-04 eta: 2:56:39 time: 0.359620 data_time: 0.031623 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.888166 2023/08/08 19:06:47 - mmengine - INFO - Epoch(train) [155][250/529] lr: 5.000000e-04 eta: 2:56:36 time: 0.359340 data_time: 0.031618 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.920201 2023/08/08 19:06:51 - mmengine - INFO - Epoch(train) [155][260/529] lr: 5.000000e-04 eta: 2:56:32 time: 0.363917 data_time: 0.031923 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.826126 2023/08/08 19:06:54 - mmengine - INFO - Epoch(train) [155][270/529] lr: 5.000000e-04 eta: 2:56:28 time: 0.364624 data_time: 0.031848 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.875795 2023/08/08 19:06:58 - mmengine - INFO - Epoch(train) [155][280/529] lr: 5.000000e-04 eta: 2:56:25 time: 0.365482 data_time: 0.031766 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.893833 2023/08/08 19:07:01 - mmengine - INFO - Epoch(train) [155][290/529] lr: 5.000000e-04 eta: 2:56:21 time: 0.364523 data_time: 0.031703 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.903259 2023/08/08 19:07:05 - mmengine - INFO - Epoch(train) [155][300/529] lr: 5.000000e-04 eta: 2:56:18 time: 0.355964 data_time: 0.031299 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.933793 2023/08/08 19:07:09 - mmengine - INFO - Epoch(train) [155][310/529] lr: 5.000000e-04 eta: 2:56:14 time: 0.352428 data_time: 0.030955 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.891092 2023/08/08 19:07:12 - mmengine - INFO - Epoch(train) [155][320/529] lr: 5.000000e-04 eta: 2:56:10 time: 0.352491 data_time: 0.030996 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.845193 2023/08/08 19:07:16 - mmengine - INFO - Epoch(train) [155][330/529] lr: 5.000000e-04 eta: 2:56:07 time: 0.354071 data_time: 0.031317 memory: 4565 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.905680 2023/08/08 19:07:19 - mmengine - INFO - Epoch(train) [155][340/529] lr: 5.000000e-04 eta: 2:56:03 time: 0.354428 data_time: 0.031454 memory: 4565 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.901523 2023/08/08 19:07:23 - mmengine - INFO - Epoch(train) [155][350/529] lr: 5.000000e-04 eta: 2:55:59 time: 0.359107 data_time: 0.035018 memory: 4565 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.935717 2023/08/08 19:07:26 - mmengine - INFO - Epoch(train) [155][360/529] lr: 5.000000e-04 eta: 2:55:56 time: 0.358164 data_time: 0.034846 memory: 4565 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.868502 2023/08/08 19:07:30 - mmengine - INFO - Epoch(train) [155][370/529] lr: 5.000000e-04 eta: 2:55:52 time: 0.358611 data_time: 0.035172 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.871633 2023/08/08 19:07:34 - mmengine - INFO - Epoch(train) [155][380/529] lr: 5.000000e-04 eta: 2:55:49 time: 0.356999 data_time: 0.035060 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.878424 2023/08/08 19:07:37 - mmengine - INFO - Epoch(train) [155][390/529] lr: 5.000000e-04 eta: 2:55:45 time: 0.359015 data_time: 0.035563 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.910362 2023/08/08 19:07:41 - mmengine - INFO - Epoch(train) [155][400/529] lr: 5.000000e-04 eta: 2:55:41 time: 0.356727 data_time: 0.032028 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.894945 2023/08/08 19:07:44 - mmengine - INFO - Epoch(train) [155][410/529] lr: 5.000000e-04 eta: 2:55:38 time: 0.356588 data_time: 0.032089 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.916109 2023/08/08 19:07:48 - mmengine - INFO - Epoch(train) [155][420/529] lr: 5.000000e-04 eta: 2:55:34 time: 0.358635 data_time: 0.031700 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.895774 2023/08/08 19:07:51 - mmengine - INFO - Epoch(train) [155][430/529] lr: 5.000000e-04 eta: 2:55:31 time: 0.358305 data_time: 0.031485 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.911519 2023/08/08 19:07:55 - mmengine - INFO - Epoch(train) [155][440/529] lr: 5.000000e-04 eta: 2:55:27 time: 0.358005 data_time: 0.031475 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.937182 2023/08/08 19:07:59 - mmengine - INFO - Epoch(train) [155][450/529] lr: 5.000000e-04 eta: 2:55:23 time: 0.359108 data_time: 0.032107 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.904094 2023/08/08 19:08:03 - mmengine - INFO - Epoch(train) [155][460/529] lr: 5.000000e-04 eta: 2:55:20 time: 0.365043 data_time: 0.032415 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.919713 2023/08/08 19:08:06 - mmengine - INFO - Epoch(train) [155][470/529] lr: 5.000000e-04 eta: 2:55:16 time: 0.365651 data_time: 0.032576 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.935358 2023/08/08 19:08:10 - mmengine - INFO - Epoch(train) [155][480/529] lr: 5.000000e-04 eta: 2:55:13 time: 0.365144 data_time: 0.032645 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.942898 2023/08/08 19:08:13 - mmengine - INFO - Epoch(train) [155][490/529] lr: 5.000000e-04 eta: 2:55:09 time: 0.364773 data_time: 0.032655 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.908661 2023/08/08 19:08:17 - mmengine - INFO - Epoch(train) [155][500/529] lr: 5.000000e-04 eta: 2:55:05 time: 0.364033 data_time: 0.032690 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.933578 2023/08/08 19:08:20 - mmengine - INFO - Epoch(train) [155][510/529] lr: 5.000000e-04 eta: 2:55:02 time: 0.357688 data_time: 0.033043 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.936567 2023/08/08 19:08:24 - mmengine - INFO - Epoch(train) [155][520/529] lr: 5.000000e-04 eta: 2:54:58 time: 0.357602 data_time: 0.032971 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.918907 2023/08/08 19:08:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:08:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:08:31 - mmengine - INFO - Epoch(train) [156][ 10/529] lr: 5.000000e-04 eta: 2:54:51 time: 0.360999 data_time: 0.035853 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.895782 2023/08/08 19:08:35 - mmengine - INFO - Epoch(train) [156][ 20/529] lr: 5.000000e-04 eta: 2:54:48 time: 0.361589 data_time: 0.038653 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.861610 2023/08/08 19:08:38 - mmengine - INFO - Epoch(train) [156][ 30/529] lr: 5.000000e-04 eta: 2:54:44 time: 0.362638 data_time: 0.038117 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.929721 2023/08/08 19:08:42 - mmengine - INFO - Epoch(train) [156][ 40/529] lr: 5.000000e-04 eta: 2:54:40 time: 0.360929 data_time: 0.038650 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.898970 2023/08/08 19:08:45 - mmengine - INFO - Epoch(train) [156][ 50/529] lr: 5.000000e-04 eta: 2:54:37 time: 0.361734 data_time: 0.039307 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.847014 2023/08/08 19:08:49 - mmengine - INFO - Epoch(train) [156][ 60/529] lr: 5.000000e-04 eta: 2:54:33 time: 0.359831 data_time: 0.035750 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.907141 2023/08/08 19:08:53 - mmengine - INFO - Epoch(train) [156][ 70/529] lr: 5.000000e-04 eta: 2:54:30 time: 0.360542 data_time: 0.032343 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.932206 2023/08/08 19:08:56 - mmengine - INFO - Epoch(train) [156][ 80/529] lr: 5.000000e-04 eta: 2:54:26 time: 0.359429 data_time: 0.032079 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.862483 2023/08/08 19:09:00 - mmengine - INFO - Epoch(train) [156][ 90/529] lr: 5.000000e-04 eta: 2:54:22 time: 0.358162 data_time: 0.031582 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.903300 2023/08/08 19:09:03 - mmengine - INFO - Epoch(train) [156][100/529] lr: 5.000000e-04 eta: 2:54:19 time: 0.357802 data_time: 0.031411 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.899936 2023/08/08 19:09:07 - mmengine - INFO - Epoch(train) [156][110/529] lr: 5.000000e-04 eta: 2:54:15 time: 0.357452 data_time: 0.031416 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.903369 2023/08/08 19:09:11 - mmengine - INFO - Epoch(train) [156][120/529] lr: 5.000000e-04 eta: 2:54:12 time: 0.355380 data_time: 0.031564 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.851802 2023/08/08 19:09:14 - mmengine - INFO - Epoch(train) [156][130/529] lr: 5.000000e-04 eta: 2:54:08 time: 0.354969 data_time: 0.031736 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.875048 2023/08/08 19:09:18 - mmengine - INFO - Epoch(train) [156][140/529] lr: 5.000000e-04 eta: 2:54:04 time: 0.354712 data_time: 0.031507 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.915501 2023/08/08 19:09:21 - mmengine - INFO - Epoch(train) [156][150/529] lr: 5.000000e-04 eta: 2:54:01 time: 0.353518 data_time: 0.031365 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.915014 2023/08/08 19:09:25 - mmengine - INFO - Epoch(train) [156][160/529] lr: 5.000000e-04 eta: 2:53:57 time: 0.353817 data_time: 0.031580 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.880040 2023/08/08 19:09:28 - mmengine - INFO - Epoch(train) [156][170/529] lr: 5.000000e-04 eta: 2:53:53 time: 0.352123 data_time: 0.031302 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.885457 2023/08/08 19:09:32 - mmengine - INFO - Epoch(train) [156][180/529] lr: 5.000000e-04 eta: 2:53:50 time: 0.357490 data_time: 0.031703 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.934278 2023/08/08 19:09:36 - mmengine - INFO - Epoch(train) [156][190/529] lr: 5.000000e-04 eta: 2:53:46 time: 0.360632 data_time: 0.035350 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.901842 2023/08/08 19:09:39 - mmengine - INFO - Epoch(train) [156][200/529] lr: 5.000000e-04 eta: 2:53:43 time: 0.359831 data_time: 0.035292 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.864875 2023/08/08 19:09:43 - mmengine - INFO - Epoch(train) [156][210/529] lr: 5.000000e-04 eta: 2:53:39 time: 0.357857 data_time: 0.034940 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.906837 2023/08/08 19:09:46 - mmengine - INFO - Epoch(train) [156][220/529] lr: 5.000000e-04 eta: 2:53:35 time: 0.360657 data_time: 0.034978 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.911757 2023/08/08 19:09:50 - mmengine - INFO - Epoch(train) [156][230/529] lr: 5.000000e-04 eta: 2:53:32 time: 0.357201 data_time: 0.035280 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.878527 2023/08/08 19:09:53 - mmengine - INFO - Epoch(train) [156][240/529] lr: 5.000000e-04 eta: 2:53:28 time: 0.354113 data_time: 0.031717 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.910609 2023/08/08 19:09:57 - mmengine - INFO - Epoch(train) [156][250/529] lr: 5.000000e-04 eta: 2:53:24 time: 0.355969 data_time: 0.031929 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.871592 2023/08/08 19:10:00 - mmengine - INFO - Epoch(train) [156][260/529] lr: 5.000000e-04 eta: 2:53:21 time: 0.355588 data_time: 0.031922 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.871786 2023/08/08 19:10:04 - mmengine - INFO - Epoch(train) [156][270/529] lr: 5.000000e-04 eta: 2:53:17 time: 0.351867 data_time: 0.031858 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.836604 2023/08/08 19:10:07 - mmengine - INFO - Epoch(train) [156][280/529] lr: 5.000000e-04 eta: 2:53:13 time: 0.349773 data_time: 0.031086 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.910702 2023/08/08 19:10:11 - mmengine - INFO - Epoch(train) [156][290/529] lr: 5.000000e-04 eta: 2:53:10 time: 0.351433 data_time: 0.031158 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.873222 2023/08/08 19:10:14 - mmengine - INFO - Epoch(train) [156][300/529] lr: 5.000000e-04 eta: 2:53:06 time: 0.351161 data_time: 0.030914 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.918364 2023/08/08 19:10:18 - mmengine - INFO - Epoch(train) [156][310/529] lr: 5.000000e-04 eta: 2:53:03 time: 0.354486 data_time: 0.031257 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.857170 2023/08/08 19:10:22 - mmengine - INFO - Epoch(train) [156][320/529] lr: 5.000000e-04 eta: 2:52:59 time: 0.354700 data_time: 0.031983 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.890344 2023/08/08 19:10:25 - mmengine - INFO - Epoch(train) [156][330/529] lr: 5.000000e-04 eta: 2:52:55 time: 0.355581 data_time: 0.031861 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.863409 2023/08/08 19:10:29 - mmengine - INFO - Epoch(train) [156][340/529] lr: 5.000000e-04 eta: 2:52:52 time: 0.353192 data_time: 0.031683 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.897266 2023/08/08 19:10:32 - mmengine - INFO - Epoch(train) [156][350/529] lr: 5.000000e-04 eta: 2:52:48 time: 0.358555 data_time: 0.035659 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.908661 2023/08/08 19:10:36 - mmengine - INFO - Epoch(train) [156][360/529] lr: 5.000000e-04 eta: 2:52:45 time: 0.361629 data_time: 0.035448 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.914474 2023/08/08 19:10:40 - mmengine - INFO - Epoch(train) [156][370/529] lr: 5.000000e-04 eta: 2:52:41 time: 0.366021 data_time: 0.034903 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.916903 2023/08/08 19:10:43 - mmengine - INFO - Epoch(train) [156][380/529] lr: 5.000000e-04 eta: 2:52:37 time: 0.367092 data_time: 0.035213 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.938422 2023/08/08 19:10:47 - mmengine - INFO - Epoch(train) [156][390/529] lr: 5.000000e-04 eta: 2:52:34 time: 0.368365 data_time: 0.035292 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.887275 2023/08/08 19:10:51 - mmengine - INFO - Epoch(train) [156][400/529] lr: 5.000000e-04 eta: 2:52:30 time: 0.362827 data_time: 0.031210 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.925238 2023/08/08 19:10:54 - mmengine - INFO - Epoch(train) [156][410/529] lr: 5.000000e-04 eta: 2:52:27 time: 0.358818 data_time: 0.031874 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.888905 2023/08/08 19:10:58 - mmengine - INFO - Epoch(train) [156][420/529] lr: 5.000000e-04 eta: 2:52:23 time: 0.357289 data_time: 0.032421 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.911204 2023/08/08 19:11:01 - mmengine - INFO - Epoch(train) [156][430/529] lr: 5.000000e-04 eta: 2:52:19 time: 0.357649 data_time: 0.033118 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.909473 2023/08/08 19:11:05 - mmengine - INFO - Epoch(train) [156][440/529] lr: 5.000000e-04 eta: 2:52:16 time: 0.359099 data_time: 0.033594 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.885426 2023/08/08 19:11:08 - mmengine - INFO - Epoch(train) [156][450/529] lr: 5.000000e-04 eta: 2:52:12 time: 0.358831 data_time: 0.033666 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.878634 2023/08/08 19:11:12 - mmengine - INFO - Epoch(train) [156][460/529] lr: 5.000000e-04 eta: 2:52:08 time: 0.358345 data_time: 0.032635 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.915225 2023/08/08 19:11:16 - mmengine - INFO - Epoch(train) [156][470/529] lr: 5.000000e-04 eta: 2:52:05 time: 0.356649 data_time: 0.031788 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.922413 2023/08/08 19:11:19 - mmengine - INFO - Epoch(train) [156][480/529] lr: 5.000000e-04 eta: 2:52:01 time: 0.360370 data_time: 0.031064 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.916503 2023/08/08 19:11:23 - mmengine - INFO - Epoch(train) [156][490/529] lr: 5.000000e-04 eta: 2:51:58 time: 0.359373 data_time: 0.030759 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.910676 2023/08/08 19:11:27 - mmengine - INFO - Epoch(train) [156][500/529] lr: 5.000000e-04 eta: 2:51:54 time: 0.362088 data_time: 0.031797 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.896249 2023/08/08 19:11:30 - mmengine - INFO - Epoch(train) [156][510/529] lr: 5.000000e-04 eta: 2:51:50 time: 0.362187 data_time: 0.032074 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.940780 2023/08/08 19:11:34 - mmengine - INFO - Epoch(train) [156][520/529] lr: 5.000000e-04 eta: 2:51:47 time: 0.362355 data_time: 0.032007 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.936105 2023/08/08 19:11:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:11:41 - mmengine - INFO - Epoch(train) [157][ 10/529] lr: 5.000000e-04 eta: 2:51:40 time: 0.364160 data_time: 0.038959 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.890763 2023/08/08 19:11:44 - mmengine - INFO - Epoch(train) [157][ 20/529] lr: 5.000000e-04 eta: 2:51:36 time: 0.363034 data_time: 0.038138 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.909953 2023/08/08 19:11:48 - mmengine - INFO - Epoch(train) [157][ 30/529] lr: 5.000000e-04 eta: 2:51:33 time: 0.364787 data_time: 0.038089 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.894827 2023/08/08 19:11:52 - mmengine - INFO - Epoch(train) [157][ 40/529] lr: 5.000000e-04 eta: 2:51:29 time: 0.367666 data_time: 0.038431 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.908424 2023/08/08 19:11:56 - mmengine - INFO - Epoch(train) [157][ 50/529] lr: 5.000000e-04 eta: 2:51:26 time: 0.372475 data_time: 0.035730 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.906803 2023/08/08 19:11:59 - mmengine - INFO - Epoch(train) [157][ 60/529] lr: 5.000000e-04 eta: 2:51:22 time: 0.371294 data_time: 0.031666 memory: 4565 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.915284 2023/08/08 19:12:03 - mmengine - INFO - Epoch(train) [157][ 70/529] lr: 5.000000e-04 eta: 2:51:19 time: 0.371481 data_time: 0.031461 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.885800 2023/08/08 19:12:07 - mmengine - INFO - Epoch(train) [157][ 80/529] lr: 5.000000e-04 eta: 2:51:15 time: 0.371701 data_time: 0.031917 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.917488 2023/08/08 19:12:10 - mmengine - INFO - Epoch(train) [157][ 90/529] lr: 5.000000e-04 eta: 2:51:11 time: 0.372127 data_time: 0.031796 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.893821 2023/08/08 19:12:14 - mmengine - INFO - Epoch(train) [157][100/529] lr: 5.000000e-04 eta: 2:51:08 time: 0.365729 data_time: 0.031690 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.925998 2023/08/08 19:12:18 - mmengine - INFO - Epoch(train) [157][110/529] lr: 5.000000e-04 eta: 2:51:04 time: 0.361880 data_time: 0.031472 memory: 4565 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.898049 2023/08/08 19:12:21 - mmengine - INFO - Epoch(train) [157][120/529] lr: 5.000000e-04 eta: 2:51:01 time: 0.360030 data_time: 0.031543 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.871248 2023/08/08 19:12:25 - mmengine - INFO - Epoch(train) [157][130/529] lr: 5.000000e-04 eta: 2:50:57 time: 0.357288 data_time: 0.030870 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.920204 2023/08/08 19:12:28 - mmengine - INFO - Epoch(train) [157][140/529] lr: 5.000000e-04 eta: 2:50:53 time: 0.358475 data_time: 0.030921 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.881370 2023/08/08 19:12:32 - mmengine - INFO - Epoch(train) [157][150/529] lr: 5.000000e-04 eta: 2:50:50 time: 0.360588 data_time: 0.030849 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.902133 2023/08/08 19:12:36 - mmengine - INFO - Epoch(train) [157][160/529] lr: 5.000000e-04 eta: 2:50:46 time: 0.368745 data_time: 0.031358 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.952167 2023/08/08 19:12:40 - mmengine - INFO - Epoch(train) [157][170/529] lr: 5.000000e-04 eta: 2:50:43 time: 0.380098 data_time: 0.031618 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.861353 2023/08/08 19:12:44 - mmengine - INFO - Epoch(train) [157][180/529] lr: 5.000000e-04 eta: 2:50:39 time: 0.387830 data_time: 0.032297 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.925277 2023/08/08 19:12:48 - mmengine - INFO - Epoch(train) [157][190/529] lr: 5.000000e-04 eta: 2:50:36 time: 0.388475 data_time: 0.032621 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.933336 2023/08/08 19:12:51 - mmengine - INFO - Epoch(train) [157][200/529] lr: 5.000000e-04 eta: 2:50:32 time: 0.387083 data_time: 0.032666 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.845341 2023/08/08 19:12:55 - mmengine - INFO - Epoch(train) [157][210/529] lr: 5.000000e-04 eta: 2:50:29 time: 0.379163 data_time: 0.032187 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.932472 2023/08/08 19:12:59 - mmengine - INFO - Epoch(train) [157][220/529] lr: 5.000000e-04 eta: 2:50:25 time: 0.370344 data_time: 0.032180 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.878693 2023/08/08 19:13:02 - mmengine - INFO - Epoch(train) [157][230/529] lr: 5.000000e-04 eta: 2:50:21 time: 0.362377 data_time: 0.031578 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.914861 2023/08/08 19:13:06 - mmengine - INFO - Epoch(train) [157][240/529] lr: 5.000000e-04 eta: 2:50:18 time: 0.356988 data_time: 0.031033 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.934309 2023/08/08 19:13:09 - mmengine - INFO - Epoch(train) [157][250/529] lr: 5.000000e-04 eta: 2:50:14 time: 0.354804 data_time: 0.030693 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.912539 2023/08/08 19:13:13 - mmengine - INFO - Epoch(train) [157][260/529] lr: 5.000000e-04 eta: 2:50:10 time: 0.355800 data_time: 0.030852 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.894229 2023/08/08 19:13:16 - mmengine - INFO - Epoch(train) [157][270/529] lr: 5.000000e-04 eta: 2:50:07 time: 0.354661 data_time: 0.031180 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.939763 2023/08/08 19:13:20 - mmengine - INFO - Epoch(train) [157][280/529] lr: 5.000000e-04 eta: 2:50:03 time: 0.356943 data_time: 0.032149 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.930514 2023/08/08 19:13:24 - mmengine - INFO - Epoch(train) [157][290/529] lr: 5.000000e-04 eta: 2:50:00 time: 0.357840 data_time: 0.032880 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.914154 2023/08/08 19:13:27 - mmengine - INFO - Epoch(train) [157][300/529] lr: 5.000000e-04 eta: 2:49:56 time: 0.358010 data_time: 0.032955 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.897848 2023/08/08 19:13:31 - mmengine - INFO - Epoch(train) [157][310/529] lr: 5.000000e-04 eta: 2:49:52 time: 0.356791 data_time: 0.032693 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.963302 2023/08/08 19:13:34 - mmengine - INFO - Epoch(train) [157][320/529] lr: 5.000000e-04 eta: 2:49:49 time: 0.355651 data_time: 0.032024 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.911925 2023/08/08 19:13:38 - mmengine - INFO - Epoch(train) [157][330/529] lr: 5.000000e-04 eta: 2:49:45 time: 0.354538 data_time: 0.031253 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.937669 2023/08/08 19:13:41 - mmengine - INFO - Epoch(train) [157][340/529] lr: 5.000000e-04 eta: 2:49:41 time: 0.355311 data_time: 0.031013 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.903865 2023/08/08 19:13:45 - mmengine - INFO - Epoch(train) [157][350/529] lr: 5.000000e-04 eta: 2:49:38 time: 0.361128 data_time: 0.031503 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.946458 2023/08/08 19:13:49 - mmengine - INFO - Epoch(train) [157][360/529] lr: 5.000000e-04 eta: 2:49:34 time: 0.365912 data_time: 0.032001 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.885978 2023/08/08 19:13:53 - mmengine - INFO - Epoch(train) [157][370/529] lr: 5.000000e-04 eta: 2:49:31 time: 0.369573 data_time: 0.035626 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.897427 2023/08/08 19:13:56 - mmengine - INFO - Epoch(train) [157][380/529] lr: 5.000000e-04 eta: 2:49:27 time: 0.368899 data_time: 0.035486 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.912094 2023/08/08 19:14:00 - mmengine - INFO - Epoch(train) [157][390/529] lr: 5.000000e-04 eta: 2:49:24 time: 0.373492 data_time: 0.035706 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.938112 2023/08/08 19:14:04 - mmengine - INFO - Epoch(train) [157][400/529] lr: 5.000000e-04 eta: 2:49:20 time: 0.370007 data_time: 0.035756 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.876515 2023/08/08 19:14:07 - mmengine - INFO - Epoch(train) [157][410/529] lr: 5.000000e-04 eta: 2:49:16 time: 0.367001 data_time: 0.035541 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.912246 2023/08/08 19:14:11 - mmengine - INFO - Epoch(train) [157][420/529] lr: 5.000000e-04 eta: 2:49:13 time: 0.363217 data_time: 0.031986 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.929096 2023/08/08 19:14:14 - mmengine - INFO - Epoch(train) [157][430/529] lr: 5.000000e-04 eta: 2:49:09 time: 0.363031 data_time: 0.031987 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.882184 2023/08/08 19:14:18 - mmengine - INFO - Epoch(train) [157][440/529] lr: 5.000000e-04 eta: 2:49:06 time: 0.356999 data_time: 0.031300 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.876203 2023/08/08 19:14:22 - mmengine - INFO - Epoch(train) [157][450/529] lr: 5.000000e-04 eta: 2:49:02 time: 0.356981 data_time: 0.030740 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.956805 2023/08/08 19:14:25 - mmengine - INFO - Epoch(train) [157][460/529] lr: 5.000000e-04 eta: 2:48:58 time: 0.355761 data_time: 0.031144 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.925317 2023/08/08 19:14:29 - mmengine - INFO - Epoch(train) [157][470/529] lr: 5.000000e-04 eta: 2:48:55 time: 0.358185 data_time: 0.031391 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.955208 2023/08/08 19:14:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:14:33 - mmengine - INFO - Epoch(train) [157][480/529] lr: 5.000000e-04 eta: 2:48:51 time: 0.365846 data_time: 0.032177 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.899217 2023/08/08 19:14:37 - mmengine - INFO - Epoch(train) [157][490/529] lr: 5.000000e-04 eta: 2:48:48 time: 0.372542 data_time: 0.032898 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.890396 2023/08/08 19:14:40 - mmengine - INFO - Epoch(train) [157][500/529] lr: 5.000000e-04 eta: 2:48:44 time: 0.370293 data_time: 0.033103 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.855906 2023/08/08 19:14:44 - mmengine - INFO - Epoch(train) [157][510/529] lr: 5.000000e-04 eta: 2:48:40 time: 0.370802 data_time: 0.032773 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.928931 2023/08/08 19:14:47 - mmengine - INFO - Epoch(train) [157][520/529] lr: 5.000000e-04 eta: 2:48:37 time: 0.370211 data_time: 0.033232 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.911211 2023/08/08 19:14:51 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:14:54 - mmengine - INFO - Epoch(train) [158][ 10/529] lr: 5.000000e-04 eta: 2:48:30 time: 0.365412 data_time: 0.035729 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.942235 2023/08/08 19:14:58 - mmengine - INFO - Epoch(train) [158][ 20/529] lr: 5.000000e-04 eta: 2:48:26 time: 0.365081 data_time: 0.035577 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.927812 2023/08/08 19:15:02 - mmengine - INFO - Epoch(train) [158][ 30/529] lr: 5.000000e-04 eta: 2:48:23 time: 0.366649 data_time: 0.035345 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.906873 2023/08/08 19:15:05 - mmengine - INFO - Epoch(train) [158][ 40/529] lr: 5.000000e-04 eta: 2:48:19 time: 0.363307 data_time: 0.034535 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.937799 2023/08/08 19:15:09 - mmengine - INFO - Epoch(train) [158][ 50/529] lr: 5.000000e-04 eta: 2:48:16 time: 0.357812 data_time: 0.034783 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.909351 2023/08/08 19:15:12 - mmengine - INFO - Epoch(train) [158][ 60/529] lr: 5.000000e-04 eta: 2:48:12 time: 0.353087 data_time: 0.030897 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.882627 2023/08/08 19:15:16 - mmengine - INFO - Epoch(train) [158][ 70/529] lr: 5.000000e-04 eta: 2:48:08 time: 0.352422 data_time: 0.031042 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.929580 2023/08/08 19:15:19 - mmengine - INFO - Epoch(train) [158][ 80/529] lr: 5.000000e-04 eta: 2:48:05 time: 0.349570 data_time: 0.031246 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.885596 2023/08/08 19:15:23 - mmengine - INFO - Epoch(train) [158][ 90/529] lr: 5.000000e-04 eta: 2:48:01 time: 0.349418 data_time: 0.031586 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.889165 2023/08/08 19:15:26 - mmengine - INFO - Epoch(train) [158][100/529] lr: 5.000000e-04 eta: 2:47:57 time: 0.348075 data_time: 0.031679 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.956136 2023/08/08 19:15:30 - mmengine - INFO - Epoch(train) [158][110/529] lr: 5.000000e-04 eta: 2:47:54 time: 0.349616 data_time: 0.031694 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.926964 2023/08/08 19:15:33 - mmengine - INFO - Epoch(train) [158][120/529] lr: 5.000000e-04 eta: 2:47:50 time: 0.355256 data_time: 0.032275 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.926391 2023/08/08 19:15:37 - mmengine - INFO - Epoch(train) [158][130/529] lr: 5.000000e-04 eta: 2:47:47 time: 0.361781 data_time: 0.033386 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.911302 2023/08/08 19:15:41 - mmengine - INFO - Epoch(train) [158][140/529] lr: 5.000000e-04 eta: 2:47:43 time: 0.363251 data_time: 0.033712 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.898843 2023/08/08 19:15:44 - mmengine - INFO - Epoch(train) [158][150/529] lr: 5.000000e-04 eta: 2:47:39 time: 0.368288 data_time: 0.034050 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.910086 2023/08/08 19:15:48 - mmengine - INFO - Epoch(train) [158][160/529] lr: 5.000000e-04 eta: 2:47:36 time: 0.367115 data_time: 0.034462 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.879880 2023/08/08 19:15:52 - mmengine - INFO - Epoch(train) [158][170/529] lr: 5.000000e-04 eta: 2:47:32 time: 0.362261 data_time: 0.035012 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.908902 2023/08/08 19:15:55 - mmengine - INFO - Epoch(train) [158][180/529] lr: 5.000000e-04 eta: 2:47:29 time: 0.357224 data_time: 0.034660 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.921362 2023/08/08 19:15:59 - mmengine - INFO - Epoch(train) [158][190/529] lr: 5.000000e-04 eta: 2:47:25 time: 0.356421 data_time: 0.034513 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.954017 2023/08/08 19:16:02 - mmengine - INFO - Epoch(train) [158][200/529] lr: 5.000000e-04 eta: 2:47:21 time: 0.358465 data_time: 0.034572 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.947363 2023/08/08 19:16:06 - mmengine - INFO - Epoch(train) [158][210/529] lr: 5.000000e-04 eta: 2:47:18 time: 0.358849 data_time: 0.033990 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.882183 2023/08/08 19:16:09 - mmengine - INFO - Epoch(train) [158][220/529] lr: 5.000000e-04 eta: 2:47:14 time: 0.359184 data_time: 0.032994 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.846860 2023/08/08 19:16:13 - mmengine - INFO - Epoch(train) [158][230/529] lr: 5.000000e-04 eta: 2:47:10 time: 0.358312 data_time: 0.032058 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.923969 2023/08/08 19:16:17 - mmengine - INFO - Epoch(train) [158][240/529] lr: 5.000000e-04 eta: 2:47:07 time: 0.360722 data_time: 0.032217 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.937762 2023/08/08 19:16:20 - mmengine - INFO - Epoch(train) [158][250/529] lr: 5.000000e-04 eta: 2:47:03 time: 0.356510 data_time: 0.031985 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.860276 2023/08/08 19:16:24 - mmengine - INFO - Epoch(train) [158][260/529] lr: 5.000000e-04 eta: 2:47:00 time: 0.358403 data_time: 0.032004 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.938274 2023/08/08 19:16:28 - mmengine - INFO - Epoch(train) [158][270/529] lr: 5.000000e-04 eta: 2:46:56 time: 0.363527 data_time: 0.032225 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.876827 2023/08/08 19:16:31 - mmengine - INFO - Epoch(train) [158][280/529] lr: 5.000000e-04 eta: 2:46:53 time: 0.367362 data_time: 0.033164 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.951131 2023/08/08 19:16:35 - mmengine - INFO - Epoch(train) [158][290/529] lr: 5.000000e-04 eta: 2:46:49 time: 0.369283 data_time: 0.033753 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.955233 2023/08/08 19:16:39 - mmengine - INFO - Epoch(train) [158][300/529] lr: 5.000000e-04 eta: 2:46:45 time: 0.370928 data_time: 0.033903 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.900980 2023/08/08 19:16:42 - mmengine - INFO - Epoch(train) [158][310/529] lr: 5.000000e-04 eta: 2:46:42 time: 0.371304 data_time: 0.034304 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.888274 2023/08/08 19:16:46 - mmengine - INFO - Epoch(train) [158][320/529] lr: 5.000000e-04 eta: 2:46:38 time: 0.369856 data_time: 0.034174 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.871541 2023/08/08 19:16:50 - mmengine - INFO - Epoch(train) [158][330/529] lr: 5.000000e-04 eta: 2:46:35 time: 0.367465 data_time: 0.033425 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.879273 2023/08/08 19:16:54 - mmengine - INFO - Epoch(train) [158][340/529] lr: 5.000000e-04 eta: 2:46:31 time: 0.367603 data_time: 0.032466 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.916129 2023/08/08 19:16:57 - mmengine - INFO - Epoch(train) [158][350/529] lr: 5.000000e-04 eta: 2:46:27 time: 0.365238 data_time: 0.032119 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.876122 2023/08/08 19:17:01 - mmengine - INFO - Epoch(train) [158][360/529] lr: 5.000000e-04 eta: 2:46:24 time: 0.364637 data_time: 0.031684 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.889493 2023/08/08 19:17:04 - mmengine - INFO - Epoch(train) [158][370/529] lr: 5.000000e-04 eta: 2:46:20 time: 0.362178 data_time: 0.031673 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.912316 2023/08/08 19:17:08 - mmengine - INFO - Epoch(train) [158][380/529] lr: 5.000000e-04 eta: 2:46:17 time: 0.367921 data_time: 0.035563 memory: 4565 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.853339 2023/08/08 19:17:12 - mmengine - INFO - Epoch(train) [158][390/529] lr: 5.000000e-04 eta: 2:46:13 time: 0.365774 data_time: 0.035642 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.893233 2023/08/08 19:17:15 - mmengine - INFO - Epoch(train) [158][400/529] lr: 5.000000e-04 eta: 2:46:09 time: 0.365593 data_time: 0.035529 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.887454 2023/08/08 19:17:19 - mmengine - INFO - Epoch(train) [158][410/529] lr: 5.000000e-04 eta: 2:46:06 time: 0.366512 data_time: 0.035660 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.893950 2023/08/08 19:17:23 - mmengine - INFO - Epoch(train) [158][420/529] lr: 5.000000e-04 eta: 2:46:02 time: 0.367195 data_time: 0.035342 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.903224 2023/08/08 19:17:26 - mmengine - INFO - Epoch(train) [158][430/529] lr: 5.000000e-04 eta: 2:45:59 time: 0.362848 data_time: 0.031538 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.928157 2023/08/08 19:17:30 - mmengine - INFO - Epoch(train) [158][440/529] lr: 5.000000e-04 eta: 2:45:55 time: 0.362334 data_time: 0.031184 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.904479 2023/08/08 19:17:34 - mmengine - INFO - Epoch(train) [158][450/529] lr: 5.000000e-04 eta: 2:45:51 time: 0.363491 data_time: 0.031647 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.897367 2023/08/08 19:17:37 - mmengine - INFO - Epoch(train) [158][460/529] lr: 5.000000e-04 eta: 2:45:48 time: 0.361520 data_time: 0.031568 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.942551 2023/08/08 19:17:41 - mmengine - INFO - Epoch(train) [158][470/529] lr: 5.000000e-04 eta: 2:45:44 time: 0.359536 data_time: 0.031666 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.914563 2023/08/08 19:17:44 - mmengine - INFO - Epoch(train) [158][480/529] lr: 5.000000e-04 eta: 2:45:41 time: 0.357265 data_time: 0.031408 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.908115 2023/08/08 19:17:48 - mmengine - INFO - Epoch(train) [158][490/529] lr: 5.000000e-04 eta: 2:45:37 time: 0.358182 data_time: 0.032198 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.898469 2023/08/08 19:17:51 - mmengine - INFO - Epoch(train) [158][500/529] lr: 5.000000e-04 eta: 2:45:33 time: 0.357604 data_time: 0.032083 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.907184 2023/08/08 19:17:55 - mmengine - INFO - Epoch(train) [158][510/529] lr: 5.000000e-04 eta: 2:45:30 time: 0.362955 data_time: 0.032231 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.921360 2023/08/08 19:17:59 - mmengine - INFO - Epoch(train) [158][520/529] lr: 5.000000e-04 eta: 2:45:26 time: 0.363745 data_time: 0.032395 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.874400 2023/08/08 19:18:02 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:18:06 - mmengine - INFO - Epoch(train) [159][ 10/529] lr: 5.000000e-04 eta: 2:45:19 time: 0.365377 data_time: 0.035651 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.859539 2023/08/08 19:18:10 - mmengine - INFO - Epoch(train) [159][ 20/529] lr: 5.000000e-04 eta: 2:45:16 time: 0.369202 data_time: 0.039329 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.881346 2023/08/08 19:18:13 - mmengine - INFO - Epoch(train) [159][ 30/529] lr: 5.000000e-04 eta: 2:45:12 time: 0.365693 data_time: 0.039403 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.903889 2023/08/08 19:18:17 - mmengine - INFO - Epoch(train) [159][ 40/529] lr: 5.000000e-04 eta: 2:45:09 time: 0.365978 data_time: 0.039489 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.963146 2023/08/08 19:18:20 - mmengine - INFO - Epoch(train) [159][ 50/529] lr: 5.000000e-04 eta: 2:45:05 time: 0.367937 data_time: 0.040921 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.888980 2023/08/08 19:18:24 - mmengine - INFO - Epoch(train) [159][ 60/529] lr: 5.000000e-04 eta: 2:45:01 time: 0.361325 data_time: 0.036656 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.887701 2023/08/08 19:18:27 - mmengine - INFO - Epoch(train) [159][ 70/529] lr: 5.000000e-04 eta: 2:44:58 time: 0.355307 data_time: 0.032961 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.902104 2023/08/08 19:18:31 - mmengine - INFO - Epoch(train) [159][ 80/529] lr: 5.000000e-04 eta: 2:44:54 time: 0.351835 data_time: 0.032774 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.932487 2023/08/08 19:18:34 - mmengine - INFO - Epoch(train) [159][ 90/529] lr: 5.000000e-04 eta: 2:44:50 time: 0.350372 data_time: 0.032590 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.913478 2023/08/08 19:18:38 - mmengine - INFO - Epoch(train) [159][100/529] lr: 5.000000e-04 eta: 2:44:47 time: 0.348390 data_time: 0.031770 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.899396 2023/08/08 19:18:41 - mmengine - INFO - Epoch(train) [159][110/529] lr: 5.000000e-04 eta: 2:44:43 time: 0.351360 data_time: 0.032130 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.870429 2023/08/08 19:18:45 - mmengine - INFO - Epoch(train) [159][120/529] lr: 5.000000e-04 eta: 2:44:40 time: 0.350942 data_time: 0.032031 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.874836 2023/08/08 19:18:48 - mmengine - INFO - Epoch(train) [159][130/529] lr: 5.000000e-04 eta: 2:44:36 time: 0.351169 data_time: 0.031997 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.916767 2023/08/08 19:18:52 - mmengine - INFO - Epoch(train) [159][140/529] lr: 5.000000e-04 eta: 2:44:32 time: 0.349627 data_time: 0.031965 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.912138 2023/08/08 19:18:56 - mmengine - INFO - Epoch(train) [159][150/529] lr: 5.000000e-04 eta: 2:44:29 time: 0.352986 data_time: 0.031968 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.891426 2023/08/08 19:18:59 - mmengine - INFO - Epoch(train) [159][160/529] lr: 5.000000e-04 eta: 2:44:25 time: 0.352261 data_time: 0.031896 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.839883 2023/08/08 19:19:03 - mmengine - INFO - Epoch(train) [159][170/529] lr: 5.000000e-04 eta: 2:44:21 time: 0.353764 data_time: 0.031798 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.929196 2023/08/08 19:19:06 - mmengine - INFO - Epoch(train) [159][180/529] lr: 5.000000e-04 eta: 2:44:18 time: 0.357146 data_time: 0.031941 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.859215 2023/08/08 19:19:10 - mmengine - INFO - Epoch(train) [159][190/529] lr: 5.000000e-04 eta: 2:44:14 time: 0.359189 data_time: 0.032384 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.939514 2023/08/08 19:19:13 - mmengine - INFO - Epoch(train) [159][200/529] lr: 5.000000e-04 eta: 2:44:11 time: 0.357740 data_time: 0.032722 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.914398 2023/08/08 19:19:17 - mmengine - INFO - Epoch(train) [159][210/529] lr: 5.000000e-04 eta: 2:44:07 time: 0.357664 data_time: 0.032377 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.926360 2023/08/08 19:19:21 - mmengine - INFO - Epoch(train) [159][220/529] lr: 5.000000e-04 eta: 2:44:03 time: 0.360463 data_time: 0.032610 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.902907 2023/08/08 19:19:24 - mmengine - INFO - Epoch(train) [159][230/529] lr: 5.000000e-04 eta: 2:44:00 time: 0.358268 data_time: 0.032469 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.926685 2023/08/08 19:19:28 - mmengine - INFO - Epoch(train) [159][240/529] lr: 5.000000e-04 eta: 2:43:56 time: 0.357667 data_time: 0.032356 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.909794 2023/08/08 19:19:31 - mmengine - INFO - Epoch(train) [159][250/529] lr: 5.000000e-04 eta: 2:43:52 time: 0.354876 data_time: 0.032177 memory: 4565 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.953385 2023/08/08 19:19:35 - mmengine - INFO - Epoch(train) [159][260/529] lr: 5.000000e-04 eta: 2:43:49 time: 0.358457 data_time: 0.036386 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.853984 2023/08/08 19:19:38 - mmengine - INFO - Epoch(train) [159][270/529] lr: 5.000000e-04 eta: 2:43:45 time: 0.355356 data_time: 0.036236 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.929963 2023/08/08 19:19:42 - mmengine - INFO - Epoch(train) [159][280/529] lr: 5.000000e-04 eta: 2:43:42 time: 0.356579 data_time: 0.036523 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.901047 2023/08/08 19:19:46 - mmengine - INFO - Epoch(train) [159][290/529] lr: 5.000000e-04 eta: 2:43:38 time: 0.356267 data_time: 0.036179 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.943813 2023/08/08 19:19:49 - mmengine - INFO - Epoch(train) [159][300/529] lr: 5.000000e-04 eta: 2:43:34 time: 0.358728 data_time: 0.036266 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.902271 2023/08/08 19:19:53 - mmengine - INFO - Epoch(train) [159][310/529] lr: 5.000000e-04 eta: 2:43:31 time: 0.358149 data_time: 0.033101 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.919991 2023/08/08 19:19:56 - mmengine - INFO - Epoch(train) [159][320/529] lr: 5.000000e-04 eta: 2:43:27 time: 0.358045 data_time: 0.033102 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.865485 2023/08/08 19:20:00 - mmengine - INFO - Epoch(train) [159][330/529] lr: 5.000000e-04 eta: 2:43:23 time: 0.357122 data_time: 0.033018 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.852122 2023/08/08 19:20:03 - mmengine - INFO - Epoch(train) [159][340/529] lr: 5.000000e-04 eta: 2:43:20 time: 0.357755 data_time: 0.032987 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.935109 2023/08/08 19:20:07 - mmengine - INFO - Epoch(train) [159][350/529] lr: 5.000000e-04 eta: 2:43:16 time: 0.356958 data_time: 0.032773 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.931118 2023/08/08 19:20:11 - mmengine - INFO - Epoch(train) [159][360/529] lr: 5.000000e-04 eta: 2:43:13 time: 0.353709 data_time: 0.032645 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.905750 2023/08/08 19:20:14 - mmengine - INFO - Epoch(train) [159][370/529] lr: 5.000000e-04 eta: 2:43:09 time: 0.355800 data_time: 0.033054 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.867011 2023/08/08 19:20:18 - mmengine - INFO - Epoch(train) [159][380/529] lr: 5.000000e-04 eta: 2:43:05 time: 0.354408 data_time: 0.033374 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.890550 2023/08/08 19:20:21 - mmengine - INFO - Epoch(train) [159][390/529] lr: 5.000000e-04 eta: 2:43:02 time: 0.352761 data_time: 0.034034 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.834012 2023/08/08 19:20:25 - mmengine - INFO - Epoch(train) [159][400/529] lr: 5.000000e-04 eta: 2:42:58 time: 0.354778 data_time: 0.034106 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.854717 2023/08/08 19:20:28 - mmengine - INFO - Epoch(train) [159][410/529] lr: 5.000000e-04 eta: 2:42:54 time: 0.355560 data_time: 0.033913 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.873676 2023/08/08 19:20:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:20:32 - mmengine - INFO - Epoch(train) [159][420/529] lr: 5.000000e-04 eta: 2:42:51 time: 0.353240 data_time: 0.034224 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.892061 2023/08/08 19:20:35 - mmengine - INFO - Epoch(train) [159][430/529] lr: 5.000000e-04 eta: 2:42:47 time: 0.356074 data_time: 0.034645 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.950864 2023/08/08 19:20:39 - mmengine - INFO - Epoch(train) [159][440/529] lr: 5.000000e-04 eta: 2:42:44 time: 0.356268 data_time: 0.034211 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.918503 2023/08/08 19:20:43 - mmengine - INFO - Epoch(train) [159][450/529] lr: 5.000000e-04 eta: 2:42:40 time: 0.354438 data_time: 0.034288 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.911445 2023/08/08 19:20:46 - mmengine - INFO - Epoch(train) [159][460/529] lr: 5.000000e-04 eta: 2:42:36 time: 0.353477 data_time: 0.033666 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.898197 2023/08/08 19:20:50 - mmengine - INFO - Epoch(train) [159][470/529] lr: 5.000000e-04 eta: 2:42:33 time: 0.356648 data_time: 0.033005 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.900240 2023/08/08 19:20:53 - mmengine - INFO - Epoch(train) [159][480/529] lr: 5.000000e-04 eta: 2:42:29 time: 0.356440 data_time: 0.032352 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.862911 2023/08/08 19:20:57 - mmengine - INFO - Epoch(train) [159][490/529] lr: 5.000000e-04 eta: 2:42:26 time: 0.358896 data_time: 0.032629 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.840632 2023/08/08 19:21:00 - mmengine - INFO - Epoch(train) [159][500/529] lr: 5.000000e-04 eta: 2:42:22 time: 0.358449 data_time: 0.032644 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.905089 2023/08/08 19:21:04 - mmengine - INFO - Epoch(train) [159][510/529] lr: 5.000000e-04 eta: 2:42:18 time: 0.356891 data_time: 0.032855 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.917305 2023/08/08 19:21:07 - mmengine - INFO - Epoch(train) [159][520/529] lr: 5.000000e-04 eta: 2:42:15 time: 0.353224 data_time: 0.032754 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.944126 2023/08/08 19:21:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:21:14 - mmengine - INFO - Epoch(train) [160][ 10/529] lr: 5.000000e-04 eta: 2:42:08 time: 0.354047 data_time: 0.036554 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.899894 2023/08/08 19:21:18 - mmengine - INFO - Epoch(train) [160][ 20/529] lr: 5.000000e-04 eta: 2:42:04 time: 0.356228 data_time: 0.039603 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.883938 2023/08/08 19:21:22 - mmengine - INFO - Epoch(train) [160][ 30/529] lr: 5.000000e-04 eta: 2:42:01 time: 0.362590 data_time: 0.043521 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.879926 2023/08/08 19:21:25 - mmengine - INFO - Epoch(train) [160][ 40/529] lr: 5.000000e-04 eta: 2:41:57 time: 0.362952 data_time: 0.044032 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.896728 2023/08/08 19:21:29 - mmengine - INFO - Epoch(train) [160][ 50/529] lr: 5.000000e-04 eta: 2:41:53 time: 0.364073 data_time: 0.044635 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.893654 2023/08/08 19:21:32 - mmengine - INFO - Epoch(train) [160][ 60/529] lr: 5.000000e-04 eta: 2:41:50 time: 0.357891 data_time: 0.040575 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.883856 2023/08/08 19:21:36 - mmengine - INFO - Epoch(train) [160][ 70/529] lr: 5.000000e-04 eta: 2:41:46 time: 0.354949 data_time: 0.037543 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.882621 2023/08/08 19:21:39 - mmengine - INFO - Epoch(train) [160][ 80/529] lr: 5.000000e-04 eta: 2:41:42 time: 0.350173 data_time: 0.033486 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.880075 2023/08/08 19:21:43 - mmengine - INFO - Epoch(train) [160][ 90/529] lr: 5.000000e-04 eta: 2:41:39 time: 0.355024 data_time: 0.033560 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.869004 2023/08/08 19:21:47 - mmengine - INFO - Epoch(train) [160][100/529] lr: 5.000000e-04 eta: 2:41:35 time: 0.360812 data_time: 0.034214 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.921385 2023/08/08 19:21:50 - mmengine - INFO - Epoch(train) [160][110/529] lr: 5.000000e-04 eta: 2:41:32 time: 0.361536 data_time: 0.033765 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.906405 2023/08/08 19:21:54 - mmengine - INFO - Epoch(train) [160][120/529] lr: 5.000000e-04 eta: 2:41:28 time: 0.360450 data_time: 0.033436 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.921693 2023/08/08 19:21:57 - mmengine - INFO - Epoch(train) [160][130/529] lr: 5.000000e-04 eta: 2:41:24 time: 0.359470 data_time: 0.033511 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.879518 2023/08/08 19:22:01 - mmengine - INFO - Epoch(train) [160][140/529] lr: 5.000000e-04 eta: 2:41:21 time: 0.356682 data_time: 0.033689 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.919900 2023/08/08 19:22:04 - mmengine - INFO - Epoch(train) [160][150/529] lr: 5.000000e-04 eta: 2:41:17 time: 0.353992 data_time: 0.033315 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.953744 2023/08/08 19:22:08 - mmengine - INFO - Epoch(train) [160][160/529] lr: 5.000000e-04 eta: 2:41:14 time: 0.357150 data_time: 0.033413 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.926295 2023/08/08 19:22:12 - mmengine - INFO - Epoch(train) [160][170/529] lr: 5.000000e-04 eta: 2:41:10 time: 0.358992 data_time: 0.033385 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.901427 2023/08/08 19:22:15 - mmengine - INFO - Epoch(train) [160][180/529] lr: 5.000000e-04 eta: 2:41:06 time: 0.359802 data_time: 0.033283 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.880810 2023/08/08 19:22:19 - mmengine - INFO - Epoch(train) [160][190/529] lr: 5.000000e-04 eta: 2:41:03 time: 0.357851 data_time: 0.032376 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.919453 2023/08/08 19:22:22 - mmengine - INFO - Epoch(train) [160][200/529] lr: 5.000000e-04 eta: 2:40:59 time: 0.356574 data_time: 0.031750 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.870641 2023/08/08 19:22:26 - mmengine - INFO - Epoch(train) [160][210/529] lr: 5.000000e-04 eta: 2:40:55 time: 0.355265 data_time: 0.031801 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.892135 2023/08/08 19:22:30 - mmengine - INFO - Epoch(train) [160][220/529] lr: 5.000000e-04 eta: 2:40:52 time: 0.361647 data_time: 0.035963 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.903819 2023/08/08 19:22:33 - mmengine - INFO - Epoch(train) [160][230/529] lr: 5.000000e-04 eta: 2:40:48 time: 0.363101 data_time: 0.036017 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.944828 2023/08/08 19:22:37 - mmengine - INFO - Epoch(train) [160][240/529] lr: 5.000000e-04 eta: 2:40:45 time: 0.366941 data_time: 0.036019 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.872852 2023/08/08 19:22:41 - mmengine - INFO - Epoch(train) [160][250/529] lr: 5.000000e-04 eta: 2:40:41 time: 0.366236 data_time: 0.036060 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.864866 2023/08/08 19:22:44 - mmengine - INFO - Epoch(train) [160][260/529] lr: 5.000000e-04 eta: 2:40:37 time: 0.365488 data_time: 0.035964 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.859899 2023/08/08 19:22:48 - mmengine - INFO - Epoch(train) [160][270/529] lr: 5.000000e-04 eta: 2:40:34 time: 0.359478 data_time: 0.031915 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.912792 2023/08/08 19:22:51 - mmengine - INFO - Epoch(train) [160][280/529] lr: 5.000000e-04 eta: 2:40:30 time: 0.360432 data_time: 0.032154 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.920903 2023/08/08 19:22:55 - mmengine - INFO - Epoch(train) [160][290/529] lr: 5.000000e-04 eta: 2:40:27 time: 0.359738 data_time: 0.032621 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.931621 2023/08/08 19:22:59 - mmengine - INFO - Epoch(train) [160][300/529] lr: 5.000000e-04 eta: 2:40:23 time: 0.360660 data_time: 0.032723 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.933574 2023/08/08 19:23:02 - mmengine - INFO - Epoch(train) [160][310/529] lr: 5.000000e-04 eta: 2:40:19 time: 0.360193 data_time: 0.032577 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.882999 2023/08/08 19:23:06 - mmengine - INFO - Epoch(train) [160][320/529] lr: 5.000000e-04 eta: 2:40:16 time: 0.360497 data_time: 0.032507 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.905764 2023/08/08 19:23:10 - mmengine - INFO - Epoch(train) [160][330/529] lr: 5.000000e-04 eta: 2:40:12 time: 0.362886 data_time: 0.032548 memory: 4565 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.920349 2023/08/08 19:23:13 - mmengine - INFO - Epoch(train) [160][340/529] lr: 5.000000e-04 eta: 2:40:09 time: 0.361327 data_time: 0.032111 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.928368 2023/08/08 19:23:17 - mmengine - INFO - Epoch(train) [160][350/529] lr: 5.000000e-04 eta: 2:40:05 time: 0.363240 data_time: 0.032320 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.934757 2023/08/08 19:23:21 - mmengine - INFO - Epoch(train) [160][360/529] lr: 5.000000e-04 eta: 2:40:02 time: 0.370862 data_time: 0.033063 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.917590 2023/08/08 19:23:24 - mmengine - INFO - Epoch(train) [160][370/529] lr: 5.000000e-04 eta: 2:39:58 time: 0.373023 data_time: 0.032993 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.910870 2023/08/08 19:23:28 - mmengine - INFO - Epoch(train) [160][380/529] lr: 5.000000e-04 eta: 2:39:54 time: 0.369783 data_time: 0.032825 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.865437 2023/08/08 19:23:32 - mmengine - INFO - Epoch(train) [160][390/529] lr: 5.000000e-04 eta: 2:39:51 time: 0.371143 data_time: 0.033484 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.871877 2023/08/08 19:23:35 - mmengine - INFO - Epoch(train) [160][400/529] lr: 5.000000e-04 eta: 2:39:47 time: 0.369480 data_time: 0.033529 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.934019 2023/08/08 19:23:39 - mmengine - INFO - Epoch(train) [160][410/529] lr: 5.000000e-04 eta: 2:39:44 time: 0.367017 data_time: 0.033908 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.880250 2023/08/08 19:23:43 - mmengine - INFO - Epoch(train) [160][420/529] lr: 5.000000e-04 eta: 2:39:40 time: 0.367722 data_time: 0.034093 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.867368 2023/08/08 19:23:47 - mmengine - INFO - Epoch(train) [160][430/529] lr: 5.000000e-04 eta: 2:39:36 time: 0.368258 data_time: 0.034354 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.901822 2023/08/08 19:23:50 - mmengine - INFO - Epoch(train) [160][440/529] lr: 5.000000e-04 eta: 2:39:33 time: 0.365963 data_time: 0.033755 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.916111 2023/08/08 19:23:54 - mmengine - INFO - Epoch(train) [160][450/529] lr: 5.000000e-04 eta: 2:39:29 time: 0.365351 data_time: 0.033407 memory: 4565 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.867950 2023/08/08 19:23:57 - mmengine - INFO - Epoch(train) [160][460/529] lr: 5.000000e-04 eta: 2:39:26 time: 0.361839 data_time: 0.032722 memory: 4565 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.926647 2023/08/08 19:24:01 - mmengine - INFO - Epoch(train) [160][470/529] lr: 5.000000e-04 eta: 2:39:22 time: 0.360193 data_time: 0.032692 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.872724 2023/08/08 19:24:05 - mmengine - INFO - Epoch(train) [160][480/529] lr: 5.000000e-04 eta: 2:39:18 time: 0.360126 data_time: 0.032703 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.959558 2023/08/08 19:24:08 - mmengine - INFO - Epoch(train) [160][490/529] lr: 5.000000e-04 eta: 2:39:15 time: 0.360679 data_time: 0.032770 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.885558 2023/08/08 19:24:12 - mmengine - INFO - Epoch(train) [160][500/529] lr: 5.000000e-04 eta: 2:39:11 time: 0.360770 data_time: 0.032862 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.903007 2023/08/08 19:24:15 - mmengine - INFO - Epoch(train) [160][510/529] lr: 5.000000e-04 eta: 2:39:08 time: 0.358982 data_time: 0.032456 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.873656 2023/08/08 19:24:19 - mmengine - INFO - Epoch(train) [160][520/529] lr: 5.000000e-04 eta: 2:39:04 time: 0.361820 data_time: 0.032434 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.901234 2023/08/08 19:24:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:24:22 - mmengine - INFO - Saving checkpoint at 160 epochs 2023/08/08 19:24:28 - mmengine - INFO - Epoch(val) [160][ 10/127] eta: 0:00:24 time: 0.197841 data_time: 0.012784 memory: 4565 2023/08/08 19:24:30 - mmengine - INFO - Epoch(val) [160][ 20/127] eta: 0:00:21 time: 0.197830 data_time: 0.012865 memory: 1634 2023/08/08 19:24:32 - mmengine - INFO - Epoch(val) [160][ 30/127] eta: 0:00:19 time: 0.198226 data_time: 0.012989 memory: 1634 2023/08/08 19:24:34 - mmengine - INFO - Epoch(val) [160][ 40/127] eta: 0:00:17 time: 0.198492 data_time: 0.013150 memory: 1634 2023/08/08 19:24:36 - mmengine - INFO - Epoch(val) [160][ 50/127] eta: 0:00:15 time: 0.200640 data_time: 0.013440 memory: 1634 2023/08/08 19:24:38 - mmengine - INFO - Epoch(val) [160][ 60/127] eta: 0:00:13 time: 0.198510 data_time: 0.011418 memory: 1634 2023/08/08 19:24:40 - mmengine - INFO - Epoch(val) [160][ 70/127] eta: 0:00:11 time: 0.198966 data_time: 0.011503 memory: 1634 2023/08/08 19:24:42 - mmengine - INFO - Epoch(val) [160][ 80/127] eta: 0:00:09 time: 0.198792 data_time: 0.011562 memory: 1634 2023/08/08 19:24:44 - mmengine - INFO - Epoch(val) [160][ 90/127] eta: 0:00:07 time: 0.198880 data_time: 0.011515 memory: 1634 2023/08/08 19:24:46 - mmengine - INFO - Epoch(val) [160][100/127] eta: 0:00:05 time: 0.199439 data_time: 0.011788 memory: 1634 2023/08/08 19:24:48 - mmengine - INFO - Epoch(val) [160][110/127] eta: 0:00:03 time: 0.199305 data_time: 0.011774 memory: 1634 2023/08/08 19:24:50 - mmengine - INFO - Epoch(val) [160][120/127] eta: 0:00:01 time: 0.198854 data_time: 0.011722 memory: 1634 2023/08/08 19:24:52 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 19:24:52 - mmengine - INFO - Evaluating AUC... 2023/08/08 19:24:52 - mmengine - INFO - Evaluating EPE... 2023/08/08 19:24:52 - mmengine - INFO - Epoch(val) [160][127/127] PCK: 0.981284 AUC: 0.671193 EPE: 11.961925 data_time: 0.012223 time: 0.198111 2023/08/08 19:24:56 - mmengine - INFO - Epoch(train) [161][ 10/529] lr: 5.000000e-04 eta: 2:38:57 time: 0.360819 data_time: 0.035816 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.913155 2023/08/08 19:24:59 - mmengine - INFO - Epoch(train) [161][ 20/529] lr: 5.000000e-04 eta: 2:38:53 time: 0.359694 data_time: 0.036024 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.926423 2023/08/08 19:25:03 - mmengine - INFO - Epoch(train) [161][ 30/529] lr: 5.000000e-04 eta: 2:38:50 time: 0.359557 data_time: 0.036998 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.942659 2023/08/08 19:25:06 - mmengine - INFO - Epoch(train) [161][ 40/529] lr: 5.000000e-04 eta: 2:38:46 time: 0.354096 data_time: 0.037051 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.943676 2023/08/08 19:25:10 - mmengine - INFO - Epoch(train) [161][ 50/529] lr: 5.000000e-04 eta: 2:38:43 time: 0.355868 data_time: 0.037152 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.933153 2023/08/08 19:25:13 - mmengine - INFO - Epoch(train) [161][ 60/529] lr: 5.000000e-04 eta: 2:38:39 time: 0.354263 data_time: 0.033252 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.947049 2023/08/08 19:25:17 - mmengine - INFO - Epoch(train) [161][ 70/529] lr: 5.000000e-04 eta: 2:38:35 time: 0.355225 data_time: 0.033771 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.887271 2023/08/08 19:25:21 - mmengine - INFO - Epoch(train) [161][ 80/529] lr: 5.000000e-04 eta: 2:38:32 time: 0.354632 data_time: 0.033889 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.936681 2023/08/08 19:25:24 - mmengine - INFO - Epoch(train) [161][ 90/529] lr: 5.000000e-04 eta: 2:38:28 time: 0.354298 data_time: 0.034475 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.831421 2023/08/08 19:25:28 - mmengine - INFO - Epoch(train) [161][100/529] lr: 5.000000e-04 eta: 2:38:25 time: 0.357528 data_time: 0.034992 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.920574 2023/08/08 19:25:31 - mmengine - INFO - Epoch(train) [161][110/529] lr: 5.000000e-04 eta: 2:38:21 time: 0.356749 data_time: 0.035121 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.891637 2023/08/08 19:25:35 - mmengine - INFO - Epoch(train) [161][120/529] lr: 5.000000e-04 eta: 2:38:17 time: 0.358422 data_time: 0.034741 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.917021 2023/08/08 19:25:38 - mmengine - INFO - Epoch(train) [161][130/529] lr: 5.000000e-04 eta: 2:38:14 time: 0.358620 data_time: 0.033678 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.939227 2023/08/08 19:25:42 - mmengine - INFO - Epoch(train) [161][140/529] lr: 5.000000e-04 eta: 2:38:10 time: 0.358710 data_time: 0.033138 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.919475 2023/08/08 19:25:46 - mmengine - INFO - Epoch(train) [161][150/529] lr: 5.000000e-04 eta: 2:38:06 time: 0.353950 data_time: 0.032513 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.896194 2023/08/08 19:25:49 - mmengine - INFO - Epoch(train) [161][160/529] lr: 5.000000e-04 eta: 2:38:03 time: 0.354603 data_time: 0.032562 memory: 4565 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.867970 2023/08/08 19:25:53 - mmengine - INFO - Epoch(train) [161][170/529] lr: 5.000000e-04 eta: 2:37:59 time: 0.355801 data_time: 0.032109 memory: 4565 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.962733 2023/08/08 19:25:56 - mmengine - INFO - Epoch(train) [161][180/529] lr: 5.000000e-04 eta: 2:37:56 time: 0.358240 data_time: 0.032244 memory: 4565 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.924072 2023/08/08 19:26:00 - mmengine - INFO - Epoch(train) [161][190/529] lr: 5.000000e-04 eta: 2:37:52 time: 0.358164 data_time: 0.032204 memory: 4565 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.934664 2023/08/08 19:26:03 - mmengine - INFO - Epoch(train) [161][200/529] lr: 5.000000e-04 eta: 2:37:48 time: 0.357490 data_time: 0.032328 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.859077 2023/08/08 19:26:07 - mmengine - INFO - Epoch(train) [161][210/529] lr: 5.000000e-04 eta: 2:37:45 time: 0.355548 data_time: 0.032226 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.842699 2023/08/08 19:26:10 - mmengine - INFO - Epoch(train) [161][220/529] lr: 5.000000e-04 eta: 2:37:41 time: 0.351547 data_time: 0.032390 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.932328 2023/08/08 19:26:14 - mmengine - INFO - Epoch(train) [161][230/529] lr: 5.000000e-04 eta: 2:37:37 time: 0.350336 data_time: 0.032332 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.918589 2023/08/08 19:26:18 - mmengine - INFO - Epoch(train) [161][240/529] lr: 5.000000e-04 eta: 2:37:34 time: 0.356545 data_time: 0.032190 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.863679 2023/08/08 19:26:21 - mmengine - INFO - Epoch(train) [161][250/529] lr: 5.000000e-04 eta: 2:37:30 time: 0.358741 data_time: 0.032261 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.957504 2023/08/08 19:26:25 - mmengine - INFO - Epoch(train) [161][260/529] lr: 5.000000e-04 eta: 2:37:27 time: 0.359090 data_time: 0.032095 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.884926 2023/08/08 19:26:28 - mmengine - INFO - Epoch(train) [161][270/529] lr: 5.000000e-04 eta: 2:37:23 time: 0.359791 data_time: 0.032070 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.904783 2023/08/08 19:26:32 - mmengine - INFO - Epoch(train) [161][280/529] lr: 5.000000e-04 eta: 2:37:19 time: 0.357874 data_time: 0.032079 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.889113 2023/08/08 19:26:35 - mmengine - INFO - Epoch(train) [161][290/529] lr: 5.000000e-04 eta: 2:37:16 time: 0.352431 data_time: 0.032185 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.900720 2023/08/08 19:26:39 - mmengine - INFO - Epoch(train) [161][300/529] lr: 5.000000e-04 eta: 2:37:12 time: 0.352036 data_time: 0.032092 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.895335 2023/08/08 19:26:43 - mmengine - INFO - Epoch(train) [161][310/529] lr: 5.000000e-04 eta: 2:37:08 time: 0.354310 data_time: 0.032445 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.931031 2023/08/08 19:26:46 - mmengine - INFO - Epoch(train) [161][320/529] lr: 5.000000e-04 eta: 2:37:05 time: 0.353377 data_time: 0.032481 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.870098 2023/08/08 19:26:50 - mmengine - INFO - Epoch(train) [161][330/529] lr: 5.000000e-04 eta: 2:37:01 time: 0.353304 data_time: 0.032717 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.898648 2023/08/08 19:26:53 - mmengine - INFO - Epoch(train) [161][340/529] lr: 5.000000e-04 eta: 2:36:58 time: 0.355616 data_time: 0.032895 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.928637 2023/08/08 19:26:57 - mmengine - INFO - Epoch(train) [161][350/529] lr: 5.000000e-04 eta: 2:36:54 time: 0.355035 data_time: 0.032963 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.910766 2023/08/08 19:27:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:27:00 - mmengine - INFO - Epoch(train) [161][360/529] lr: 5.000000e-04 eta: 2:36:50 time: 0.354256 data_time: 0.032856 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.881380 2023/08/08 19:27:04 - mmengine - INFO - Epoch(train) [161][370/529] lr: 5.000000e-04 eta: 2:36:47 time: 0.355642 data_time: 0.032935 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.916757 2023/08/08 19:27:07 - mmengine - INFO - Epoch(train) [161][380/529] lr: 5.000000e-04 eta: 2:36:43 time: 0.358672 data_time: 0.033110 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.920366 2023/08/08 19:27:11 - mmengine - INFO - Epoch(train) [161][390/529] lr: 5.000000e-04 eta: 2:36:40 time: 0.361656 data_time: 0.032966 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.905525 2023/08/08 19:27:15 - mmengine - INFO - Epoch(train) [161][400/529] lr: 5.000000e-04 eta: 2:36:36 time: 0.363670 data_time: 0.032797 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.924877 2023/08/08 19:27:18 - mmengine - INFO - Epoch(train) [161][410/529] lr: 5.000000e-04 eta: 2:36:32 time: 0.362279 data_time: 0.032590 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.928232 2023/08/08 19:27:22 - mmengine - INFO - Epoch(train) [161][420/529] lr: 5.000000e-04 eta: 2:36:29 time: 0.362404 data_time: 0.032466 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.867206 2023/08/08 19:27:26 - mmengine - INFO - Epoch(train) [161][430/529] lr: 5.000000e-04 eta: 2:36:25 time: 0.361082 data_time: 0.032338 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.931802 2023/08/08 19:27:29 - mmengine - INFO - Epoch(train) [161][440/529] lr: 5.000000e-04 eta: 2:36:21 time: 0.356734 data_time: 0.032300 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.887579 2023/08/08 19:27:33 - mmengine - INFO - Epoch(train) [161][450/529] lr: 5.000000e-04 eta: 2:36:18 time: 0.353735 data_time: 0.032407 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.893641 2023/08/08 19:27:36 - mmengine - INFO - Epoch(train) [161][460/529] lr: 5.000000e-04 eta: 2:36:14 time: 0.353631 data_time: 0.032568 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.953339 2023/08/08 19:27:40 - mmengine - INFO - Epoch(train) [161][470/529] lr: 5.000000e-04 eta: 2:36:11 time: 0.353379 data_time: 0.032958 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.931419 2023/08/08 19:27:43 - mmengine - INFO - Epoch(train) [161][480/529] lr: 5.000000e-04 eta: 2:36:07 time: 0.353013 data_time: 0.032728 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.898624 2023/08/08 19:27:47 - mmengine - INFO - Epoch(train) [161][490/529] lr: 5.000000e-04 eta: 2:36:03 time: 0.351607 data_time: 0.032768 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.926477 2023/08/08 19:27:50 - mmengine - INFO - Epoch(train) [161][500/529] lr: 5.000000e-04 eta: 2:36:00 time: 0.353104 data_time: 0.033416 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.967860 2023/08/08 19:27:54 - mmengine - INFO - Epoch(train) [161][510/529] lr: 5.000000e-04 eta: 2:35:56 time: 0.353573 data_time: 0.033553 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.913038 2023/08/08 19:27:57 - mmengine - INFO - Epoch(train) [161][520/529] lr: 5.000000e-04 eta: 2:35:52 time: 0.354946 data_time: 0.032950 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.921361 2023/08/08 19:28:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:28:04 - mmengine - INFO - Epoch(train) [162][ 10/529] lr: 5.000000e-04 eta: 2:35:46 time: 0.359305 data_time: 0.036554 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.884969 2023/08/08 19:28:08 - mmengine - INFO - Epoch(train) [162][ 20/529] lr: 5.000000e-04 eta: 2:35:42 time: 0.361504 data_time: 0.036157 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.879410 2023/08/08 19:28:12 - mmengine - INFO - Epoch(train) [162][ 30/529] lr: 5.000000e-04 eta: 2:35:38 time: 0.362761 data_time: 0.036085 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.889484 2023/08/08 19:28:15 - mmengine - INFO - Epoch(train) [162][ 40/529] lr: 5.000000e-04 eta: 2:35:35 time: 0.363098 data_time: 0.036483 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.916040 2023/08/08 19:28:19 - mmengine - INFO - Epoch(train) [162][ 50/529] lr: 5.000000e-04 eta: 2:35:31 time: 0.367183 data_time: 0.036680 memory: 4565 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.936406 2023/08/08 19:28:22 - mmengine - INFO - Epoch(train) [162][ 60/529] lr: 5.000000e-04 eta: 2:35:28 time: 0.359625 data_time: 0.032387 memory: 4565 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.898238 2023/08/08 19:28:26 - mmengine - INFO - Epoch(train) [162][ 70/529] lr: 5.000000e-04 eta: 2:35:24 time: 0.357662 data_time: 0.032204 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.863401 2023/08/08 19:28:30 - mmengine - INFO - Epoch(train) [162][ 80/529] lr: 5.000000e-04 eta: 2:35:20 time: 0.359770 data_time: 0.032469 memory: 4565 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.889686 2023/08/08 19:28:33 - mmengine - INFO - Epoch(train) [162][ 90/529] lr: 5.000000e-04 eta: 2:35:17 time: 0.359086 data_time: 0.032441 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.898674 2023/08/08 19:28:37 - mmengine - INFO - Epoch(train) [162][100/529] lr: 5.000000e-04 eta: 2:35:13 time: 0.362756 data_time: 0.032710 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.927467 2023/08/08 19:28:41 - mmengine - INFO - Epoch(train) [162][110/529] lr: 5.000000e-04 eta: 2:35:10 time: 0.368893 data_time: 0.033056 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.881509 2023/08/08 19:28:45 - mmengine - INFO - Epoch(train) [162][120/529] lr: 5.000000e-04 eta: 2:35:06 time: 0.373442 data_time: 0.033311 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.950394 2023/08/08 19:28:48 - mmengine - INFO - Epoch(train) [162][130/529] lr: 5.000000e-04 eta: 2:35:02 time: 0.371082 data_time: 0.032922 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.866843 2023/08/08 19:28:52 - mmengine - INFO - Epoch(train) [162][140/529] lr: 5.000000e-04 eta: 2:34:59 time: 0.372427 data_time: 0.032999 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.907441 2023/08/08 19:28:56 - mmengine - INFO - Epoch(train) [162][150/529] lr: 5.000000e-04 eta: 2:34:55 time: 0.377329 data_time: 0.033357 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.842387 2023/08/08 19:29:00 - mmengine - INFO - Epoch(train) [162][160/529] lr: 5.000000e-04 eta: 2:34:52 time: 0.375313 data_time: 0.033765 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.893469 2023/08/08 19:29:03 - mmengine - INFO - Epoch(train) [162][170/529] lr: 5.000000e-04 eta: 2:34:48 time: 0.374010 data_time: 0.033284 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.918759 2023/08/08 19:29:07 - mmengine - INFO - Epoch(train) [162][180/529] lr: 5.000000e-04 eta: 2:34:45 time: 0.374117 data_time: 0.033202 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.927054 2023/08/08 19:29:11 - mmengine - INFO - Epoch(train) [162][190/529] lr: 5.000000e-04 eta: 2:34:41 time: 0.376215 data_time: 0.032816 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.895420 2023/08/08 19:29:14 - mmengine - INFO - Epoch(train) [162][200/529] lr: 5.000000e-04 eta: 2:34:37 time: 0.369655 data_time: 0.032449 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.890074 2023/08/08 19:29:18 - mmengine - INFO - Epoch(train) [162][210/529] lr: 5.000000e-04 eta: 2:34:34 time: 0.371007 data_time: 0.032042 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.889501 2023/08/08 19:29:22 - mmengine - INFO - Epoch(train) [162][220/529] lr: 5.000000e-04 eta: 2:34:30 time: 0.370841 data_time: 0.032542 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.803811 2023/08/08 19:29:25 - mmengine - INFO - Epoch(train) [162][230/529] lr: 5.000000e-04 eta: 2:34:27 time: 0.370981 data_time: 0.032578 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.882977 2023/08/08 19:29:29 - mmengine - INFO - Epoch(train) [162][240/529] lr: 5.000000e-04 eta: 2:34:23 time: 0.367433 data_time: 0.032842 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.861339 2023/08/08 19:29:33 - mmengine - INFO - Epoch(train) [162][250/529] lr: 5.000000e-04 eta: 2:34:19 time: 0.366339 data_time: 0.033163 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.903726 2023/08/08 19:29:36 - mmengine - INFO - Epoch(train) [162][260/529] lr: 5.000000e-04 eta: 2:34:16 time: 0.362234 data_time: 0.033083 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.935483 2023/08/08 19:29:40 - mmengine - INFO - Epoch(train) [162][270/529] lr: 5.000000e-04 eta: 2:34:12 time: 0.360452 data_time: 0.033105 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.880610 2023/08/08 19:29:43 - mmengine - INFO - Epoch(train) [162][280/529] lr: 5.000000e-04 eta: 2:34:09 time: 0.358230 data_time: 0.033277 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.913664 2023/08/08 19:29:47 - mmengine - INFO - Epoch(train) [162][290/529] lr: 5.000000e-04 eta: 2:34:05 time: 0.360839 data_time: 0.033869 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.907179 2023/08/08 19:29:51 - mmengine - INFO - Epoch(train) [162][300/529] lr: 5.000000e-04 eta: 2:34:01 time: 0.360296 data_time: 0.034079 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.907546 2023/08/08 19:29:54 - mmengine - INFO - Epoch(train) [162][310/529] lr: 5.000000e-04 eta: 2:33:58 time: 0.358230 data_time: 0.033940 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.883075 2023/08/08 19:29:58 - mmengine - INFO - Epoch(train) [162][320/529] lr: 5.000000e-04 eta: 2:33:54 time: 0.356323 data_time: 0.033645 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.886513 2023/08/08 19:30:01 - mmengine - INFO - Epoch(train) [162][330/529] lr: 5.000000e-04 eta: 2:33:51 time: 0.357915 data_time: 0.033663 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.893858 2023/08/08 19:30:05 - mmengine - INFO - Epoch(train) [162][340/529] lr: 5.000000e-04 eta: 2:33:47 time: 0.354007 data_time: 0.032978 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.857901 2023/08/08 19:30:08 - mmengine - INFO - Epoch(train) [162][350/529] lr: 5.000000e-04 eta: 2:33:43 time: 0.355196 data_time: 0.032687 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.923488 2023/08/08 19:30:12 - mmengine - INFO - Epoch(train) [162][360/529] lr: 5.000000e-04 eta: 2:33:40 time: 0.354500 data_time: 0.032593 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.883380 2023/08/08 19:30:15 - mmengine - INFO - Epoch(train) [162][370/529] lr: 5.000000e-04 eta: 2:33:36 time: 0.353665 data_time: 0.032678 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.907044 2023/08/08 19:30:19 - mmengine - INFO - Epoch(train) [162][380/529] lr: 5.000000e-04 eta: 2:33:32 time: 0.355582 data_time: 0.032841 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.926465 2023/08/08 19:30:23 - mmengine - INFO - Epoch(train) [162][390/529] lr: 5.000000e-04 eta: 2:33:29 time: 0.358754 data_time: 0.032700 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.949446 2023/08/08 19:30:26 - mmengine - INFO - Epoch(train) [162][400/529] lr: 5.000000e-04 eta: 2:33:25 time: 0.356954 data_time: 0.032628 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.836754 2023/08/08 19:30:30 - mmengine - INFO - Epoch(train) [162][410/529] lr: 5.000000e-04 eta: 2:33:22 time: 0.358838 data_time: 0.032883 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.975095 2023/08/08 19:30:33 - mmengine - INFO - Epoch(train) [162][420/529] lr: 5.000000e-04 eta: 2:33:18 time: 0.359932 data_time: 0.032784 memory: 4565 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.928139 2023/08/08 19:30:37 - mmengine - INFO - Epoch(train) [162][430/529] lr: 5.000000e-04 eta: 2:33:14 time: 0.356792 data_time: 0.032523 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.928175 2023/08/08 19:30:40 - mmengine - INFO - Epoch(train) [162][440/529] lr: 5.000000e-04 eta: 2:33:11 time: 0.352410 data_time: 0.032483 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.862931 2023/08/08 19:30:44 - mmengine - INFO - Epoch(train) [162][450/529] lr: 5.000000e-04 eta: 2:33:07 time: 0.351416 data_time: 0.032257 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.933693 2023/08/08 19:30:47 - mmengine - INFO - Epoch(train) [162][460/529] lr: 5.000000e-04 eta: 2:33:03 time: 0.350942 data_time: 0.032332 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.906391 2023/08/08 19:30:51 - mmengine - INFO - Epoch(train) [162][470/529] lr: 5.000000e-04 eta: 2:33:00 time: 0.351927 data_time: 0.032349 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.948000 2023/08/08 19:30:55 - mmengine - INFO - Epoch(train) [162][480/529] lr: 5.000000e-04 eta: 2:32:56 time: 0.354680 data_time: 0.032384 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.922424 2023/08/08 19:30:58 - mmengine - INFO - Epoch(train) [162][490/529] lr: 5.000000e-04 eta: 2:32:53 time: 0.356251 data_time: 0.032492 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.898048 2023/08/08 19:31:02 - mmengine - INFO - Epoch(train) [162][500/529] lr: 5.000000e-04 eta: 2:32:49 time: 0.357059 data_time: 0.032552 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.939079 2023/08/08 19:31:05 - mmengine - INFO - Epoch(train) [162][510/529] lr: 5.000000e-04 eta: 2:32:45 time: 0.355967 data_time: 0.032169 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.911331 2023/08/08 19:31:09 - mmengine - INFO - Epoch(train) [162][520/529] lr: 5.000000e-04 eta: 2:32:42 time: 0.354767 data_time: 0.032299 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.911020 2023/08/08 19:31:12 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:31:16 - mmengine - INFO - Epoch(train) [163][ 10/529] lr: 5.000000e-04 eta: 2:32:35 time: 0.359432 data_time: 0.036856 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.912193 2023/08/08 19:31:19 - mmengine - INFO - Epoch(train) [163][ 20/529] lr: 5.000000e-04 eta: 2:32:31 time: 0.358982 data_time: 0.036733 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.949179 2023/08/08 19:31:23 - mmengine - INFO - Epoch(train) [163][ 30/529] lr: 5.000000e-04 eta: 2:32:28 time: 0.363474 data_time: 0.036599 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.896816 2023/08/08 19:31:27 - mmengine - INFO - Epoch(train) [163][ 40/529] lr: 5.000000e-04 eta: 2:32:24 time: 0.373912 data_time: 0.036544 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.914691 2023/08/08 19:31:31 - mmengine - INFO - Epoch(train) [163][ 50/529] lr: 5.000000e-04 eta: 2:32:21 time: 0.380620 data_time: 0.036918 memory: 4565 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.877834 2023/08/08 19:31:35 - mmengine - INFO - Epoch(train) [163][ 60/529] lr: 5.000000e-04 eta: 2:32:17 time: 0.376033 data_time: 0.033037 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.887065 2023/08/08 19:31:38 - mmengine - INFO - Epoch(train) [163][ 70/529] lr: 5.000000e-04 eta: 2:32:14 time: 0.378368 data_time: 0.033556 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.960125 2023/08/08 19:31:42 - mmengine - INFO - Epoch(train) [163][ 80/529] lr: 5.000000e-04 eta: 2:32:10 time: 0.375374 data_time: 0.033780 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.855536 2023/08/08 19:31:45 - mmengine - INFO - Epoch(train) [163][ 90/529] lr: 5.000000e-04 eta: 2:32:06 time: 0.365452 data_time: 0.033593 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.865111 2023/08/08 19:31:49 - mmengine - INFO - Epoch(train) [163][100/529] lr: 5.000000e-04 eta: 2:32:03 time: 0.357109 data_time: 0.033361 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.869053 2023/08/08 19:31:52 - mmengine - INFO - Epoch(train) [163][110/529] lr: 5.000000e-04 eta: 2:31:59 time: 0.354880 data_time: 0.032417 memory: 4565 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.928601 2023/08/08 19:31:56 - mmengine - INFO - Epoch(train) [163][120/529] lr: 5.000000e-04 eta: 2:31:55 time: 0.354211 data_time: 0.032484 memory: 4565 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.859185 2023/08/08 19:32:00 - mmengine - INFO - Epoch(train) [163][130/529] lr: 5.000000e-04 eta: 2:31:52 time: 0.352801 data_time: 0.032421 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.916590 2023/08/08 19:32:03 - mmengine - INFO - Epoch(train) [163][140/529] lr: 5.000000e-04 eta: 2:31:48 time: 0.353787 data_time: 0.032764 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.933827 2023/08/08 19:32:07 - mmengine - INFO - Epoch(train) [163][150/529] lr: 5.000000e-04 eta: 2:31:44 time: 0.353002 data_time: 0.032537 memory: 4565 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.943344 2023/08/08 19:32:10 - mmengine - INFO - Epoch(train) [163][160/529] lr: 5.000000e-04 eta: 2:31:41 time: 0.352963 data_time: 0.032779 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.931615 2023/08/08 19:32:14 - mmengine - INFO - Epoch(train) [163][170/529] lr: 5.000000e-04 eta: 2:31:37 time: 0.352561 data_time: 0.032289 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.932757 2023/08/08 19:32:17 - mmengine - INFO - Epoch(train) [163][180/529] lr: 5.000000e-04 eta: 2:31:34 time: 0.356067 data_time: 0.032474 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.907360 2023/08/08 19:32:21 - mmengine - INFO - Epoch(train) [163][190/529] lr: 5.000000e-04 eta: 2:31:30 time: 0.355804 data_time: 0.032498 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.896745 2023/08/08 19:32:25 - mmengine - INFO - Epoch(train) [163][200/529] lr: 5.000000e-04 eta: 2:31:26 time: 0.361465 data_time: 0.033517 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.915927 2023/08/08 19:32:28 - mmengine - INFO - Epoch(train) [163][210/529] lr: 5.000000e-04 eta: 2:31:23 time: 0.363705 data_time: 0.033752 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.911838 2023/08/08 19:32:32 - mmengine - INFO - Epoch(train) [163][220/529] lr: 5.000000e-04 eta: 2:31:19 time: 0.362277 data_time: 0.033704 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.876816 2023/08/08 19:32:35 - mmengine - INFO - Epoch(train) [163][230/529] lr: 5.000000e-04 eta: 2:31:16 time: 0.358954 data_time: 0.033430 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.924969 2023/08/08 19:32:39 - mmengine - INFO - Epoch(train) [163][240/529] lr: 5.000000e-04 eta: 2:31:12 time: 0.357860 data_time: 0.033211 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.906070 2023/08/08 19:32:42 - mmengine - INFO - Epoch(train) [163][250/529] lr: 5.000000e-04 eta: 2:31:08 time: 0.353315 data_time: 0.032409 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.888236 2023/08/08 19:32:46 - mmengine - INFO - Epoch(train) [163][260/529] lr: 5.000000e-04 eta: 2:31:05 time: 0.350878 data_time: 0.031881 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.885872 2023/08/08 19:32:50 - mmengine - INFO - Epoch(train) [163][270/529] lr: 5.000000e-04 eta: 2:31:01 time: 0.355565 data_time: 0.032108 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.902865 2023/08/08 19:32:53 - mmengine - INFO - Epoch(train) [163][280/529] lr: 5.000000e-04 eta: 2:30:57 time: 0.354620 data_time: 0.032122 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.942289 2023/08/08 19:32:57 - mmengine - INFO - Epoch(train) [163][290/529] lr: 5.000000e-04 eta: 2:30:54 time: 0.354806 data_time: 0.032058 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.974299 2023/08/08 19:33:00 - mmengine - INFO - Epoch(train) [163][300/529] lr: 5.000000e-04 eta: 2:30:50 time: 0.354594 data_time: 0.032663 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.906783 2023/08/08 19:33:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:33:04 - mmengine - INFO - Epoch(train) [163][310/529] lr: 5.000000e-04 eta: 2:30:47 time: 0.357470 data_time: 0.032735 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.903105 2023/08/08 19:33:08 - mmengine - INFO - Epoch(train) [163][320/529] lr: 5.000000e-04 eta: 2:30:43 time: 0.357080 data_time: 0.032726 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.899248 2023/08/08 19:33:11 - mmengine - INFO - Epoch(train) [163][330/529] lr: 5.000000e-04 eta: 2:30:40 time: 0.366680 data_time: 0.033349 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.909995 2023/08/08 19:33:15 - mmengine - INFO - Epoch(train) [163][340/529] lr: 5.000000e-04 eta: 2:30:36 time: 0.368797 data_time: 0.034333 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.919621 2023/08/08 19:33:19 - mmengine - INFO - Epoch(train) [163][350/529] lr: 5.000000e-04 eta: 2:30:32 time: 0.368862 data_time: 0.033719 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.936681 2023/08/08 19:33:22 - mmengine - INFO - Epoch(train) [163][360/529] lr: 5.000000e-04 eta: 2:30:29 time: 0.368449 data_time: 0.033847 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.912955 2023/08/08 19:33:26 - mmengine - INFO - Epoch(train) [163][370/529] lr: 5.000000e-04 eta: 2:30:25 time: 0.365833 data_time: 0.033579 memory: 4565 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.941343 2023/08/08 19:33:29 - mmengine - INFO - Epoch(train) [163][380/529] lr: 5.000000e-04 eta: 2:30:21 time: 0.359072 data_time: 0.033035 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.883002 2023/08/08 19:33:33 - mmengine - INFO - Epoch(train) [163][390/529] lr: 5.000000e-04 eta: 2:30:18 time: 0.359614 data_time: 0.032216 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.888493 2023/08/08 19:33:37 - mmengine - INFO - Epoch(train) [163][400/529] lr: 5.000000e-04 eta: 2:30:14 time: 0.362334 data_time: 0.032496 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.914125 2023/08/08 19:33:41 - mmengine - INFO - Epoch(train) [163][410/529] lr: 5.000000e-04 eta: 2:30:11 time: 0.365614 data_time: 0.036295 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.887640 2023/08/08 19:33:44 - mmengine - INFO - Epoch(train) [163][420/529] lr: 5.000000e-04 eta: 2:30:07 time: 0.365428 data_time: 0.036415 memory: 4565 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.886935 2023/08/08 19:33:48 - mmengine - INFO - Epoch(train) [163][430/529] lr: 5.000000e-04 eta: 2:30:03 time: 0.365078 data_time: 0.036493 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.926629 2023/08/08 19:33:51 - mmengine - INFO - Epoch(train) [163][440/529] lr: 5.000000e-04 eta: 2:30:00 time: 0.364578 data_time: 0.036611 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.888540 2023/08/08 19:33:55 - mmengine - INFO - Epoch(train) [163][450/529] lr: 5.000000e-04 eta: 2:29:56 time: 0.362615 data_time: 0.036109 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.886040 2023/08/08 19:33:59 - mmengine - INFO - Epoch(train) [163][460/529] lr: 5.000000e-04 eta: 2:29:53 time: 0.363380 data_time: 0.032333 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.929398 2023/08/08 19:34:02 - mmengine - INFO - Epoch(train) [163][470/529] lr: 5.000000e-04 eta: 2:29:49 time: 0.363285 data_time: 0.032252 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.891250 2023/08/08 19:34:06 - mmengine - INFO - Epoch(train) [163][480/529] lr: 5.000000e-04 eta: 2:29:45 time: 0.363055 data_time: 0.032284 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.885019 2023/08/08 19:34:09 - mmengine - INFO - Epoch(train) [163][490/529] lr: 5.000000e-04 eta: 2:29:42 time: 0.362150 data_time: 0.031934 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.894174 2023/08/08 19:34:13 - mmengine - INFO - Epoch(train) [163][500/529] lr: 5.000000e-04 eta: 2:29:38 time: 0.362823 data_time: 0.032042 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.868045 2023/08/08 19:34:17 - mmengine - INFO - Epoch(train) [163][510/529] lr: 5.000000e-04 eta: 2:29:35 time: 0.359389 data_time: 0.032103 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.859937 2023/08/08 19:34:20 - mmengine - INFO - Epoch(train) [163][520/529] lr: 5.000000e-04 eta: 2:29:31 time: 0.361150 data_time: 0.032323 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.862377 2023/08/08 19:34:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:34:27 - mmengine - INFO - Epoch(train) [164][ 10/529] lr: 5.000000e-04 eta: 2:29:24 time: 0.364346 data_time: 0.036758 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.930530 2023/08/08 19:34:31 - mmengine - INFO - Epoch(train) [164][ 20/529] lr: 5.000000e-04 eta: 2:29:21 time: 0.363378 data_time: 0.036780 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.913748 2023/08/08 19:34:34 - mmengine - INFO - Epoch(train) [164][ 30/529] lr: 5.000000e-04 eta: 2:29:17 time: 0.362001 data_time: 0.036533 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.930920 2023/08/08 19:34:38 - mmengine - INFO - Epoch(train) [164][ 40/529] lr: 5.000000e-04 eta: 2:29:13 time: 0.361985 data_time: 0.036601 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.919671 2023/08/08 19:34:42 - mmengine - INFO - Epoch(train) [164][ 50/529] lr: 5.000000e-04 eta: 2:29:10 time: 0.363975 data_time: 0.036701 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.943094 2023/08/08 19:34:46 - mmengine - INFO - Epoch(train) [164][ 60/529] lr: 5.000000e-04 eta: 2:29:06 time: 0.365760 data_time: 0.032972 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.921375 2023/08/08 19:34:49 - mmengine - INFO - Epoch(train) [164][ 70/529] lr: 5.000000e-04 eta: 2:29:03 time: 0.366157 data_time: 0.032945 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.931513 2023/08/08 19:34:53 - mmengine - INFO - Epoch(train) [164][ 80/529] lr: 5.000000e-04 eta: 2:28:59 time: 0.365686 data_time: 0.033172 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.919810 2023/08/08 19:34:56 - mmengine - INFO - Epoch(train) [164][ 90/529] lr: 5.000000e-04 eta: 2:28:55 time: 0.363881 data_time: 0.032938 memory: 4565 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.919233 2023/08/08 19:35:00 - mmengine - INFO - Epoch(train) [164][100/529] lr: 5.000000e-04 eta: 2:28:52 time: 0.362791 data_time: 0.032771 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.976310 2023/08/08 19:35:04 - mmengine - INFO - Epoch(train) [164][110/529] lr: 5.000000e-04 eta: 2:28:48 time: 0.358326 data_time: 0.032054 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.922421 2023/08/08 19:35:07 - mmengine - INFO - Epoch(train) [164][120/529] lr: 5.000000e-04 eta: 2:28:45 time: 0.360359 data_time: 0.032509 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.901527 2023/08/08 19:35:11 - mmengine - INFO - Epoch(train) [164][130/529] lr: 5.000000e-04 eta: 2:28:41 time: 0.370560 data_time: 0.036266 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.929336 2023/08/08 19:35:15 - mmengine - INFO - Epoch(train) [164][140/529] lr: 5.000000e-04 eta: 2:28:38 time: 0.376927 data_time: 0.036584 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.966227 2023/08/08 19:35:19 - mmengine - INFO - Epoch(train) [164][150/529] lr: 5.000000e-04 eta: 2:28:34 time: 0.375871 data_time: 0.036557 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.953614 2023/08/08 19:35:22 - mmengine - INFO - Epoch(train) [164][160/529] lr: 5.000000e-04 eta: 2:28:30 time: 0.377062 data_time: 0.036775 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.938637 2023/08/08 19:35:26 - mmengine - INFO - Epoch(train) [164][170/529] lr: 5.000000e-04 eta: 2:28:27 time: 0.375496 data_time: 0.036415 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.919342 2023/08/08 19:35:30 - mmengine - INFO - Epoch(train) [164][180/529] lr: 5.000000e-04 eta: 2:28:23 time: 0.367972 data_time: 0.032713 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.880283 2023/08/08 19:35:33 - mmengine - INFO - Epoch(train) [164][190/529] lr: 5.000000e-04 eta: 2:28:20 time: 0.364336 data_time: 0.032830 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.934822 2023/08/08 19:35:37 - mmengine - INFO - Epoch(train) [164][200/529] lr: 5.000000e-04 eta: 2:28:16 time: 0.367657 data_time: 0.032823 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.924554 2023/08/08 19:35:41 - mmengine - INFO - Epoch(train) [164][210/529] lr: 5.000000e-04 eta: 2:28:12 time: 0.366263 data_time: 0.032864 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.953020 2023/08/08 19:35:44 - mmengine - INFO - Epoch(train) [164][220/529] lr: 5.000000e-04 eta: 2:28:09 time: 0.367642 data_time: 0.033305 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.934280 2023/08/08 19:35:48 - mmengine - INFO - Epoch(train) [164][230/529] lr: 5.000000e-04 eta: 2:28:05 time: 0.365731 data_time: 0.033022 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.898847 2023/08/08 19:35:52 - mmengine - INFO - Epoch(train) [164][240/529] lr: 5.000000e-04 eta: 2:28:02 time: 0.365191 data_time: 0.033361 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.901912 2023/08/08 19:35:55 - mmengine - INFO - Epoch(train) [164][250/529] lr: 5.000000e-04 eta: 2:27:58 time: 0.362284 data_time: 0.034119 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.897232 2023/08/08 19:35:59 - mmengine - INFO - Epoch(train) [164][260/529] lr: 5.000000e-04 eta: 2:27:54 time: 0.361531 data_time: 0.033842 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.899289 2023/08/08 19:36:02 - mmengine - INFO - Epoch(train) [164][270/529] lr: 5.000000e-04 eta: 2:27:51 time: 0.359818 data_time: 0.033622 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.922706 2023/08/08 19:36:06 - mmengine - INFO - Epoch(train) [164][280/529] lr: 5.000000e-04 eta: 2:27:47 time: 0.359714 data_time: 0.033801 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.901052 2023/08/08 19:36:10 - mmengine - INFO - Epoch(train) [164][290/529] lr: 5.000000e-04 eta: 2:27:44 time: 0.358664 data_time: 0.033190 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.943929 2023/08/08 19:36:13 - mmengine - INFO - Epoch(train) [164][300/529] lr: 5.000000e-04 eta: 2:27:40 time: 0.358295 data_time: 0.032756 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.874570 2023/08/08 19:36:17 - mmengine - INFO - Epoch(train) [164][310/529] lr: 5.000000e-04 eta: 2:27:36 time: 0.360033 data_time: 0.033024 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.940307 2023/08/08 19:36:20 - mmengine - INFO - Epoch(train) [164][320/529] lr: 5.000000e-04 eta: 2:27:33 time: 0.360434 data_time: 0.032529 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.882076 2023/08/08 19:36:24 - mmengine - INFO - Epoch(train) [164][330/529] lr: 5.000000e-04 eta: 2:27:29 time: 0.366525 data_time: 0.035992 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.908002 2023/08/08 19:36:28 - mmengine - INFO - Epoch(train) [164][340/529] lr: 5.000000e-04 eta: 2:27:26 time: 0.365045 data_time: 0.035845 memory: 4565 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.931621 2023/08/08 19:36:32 - mmengine - INFO - Epoch(train) [164][350/529] lr: 5.000000e-04 eta: 2:27:22 time: 0.366092 data_time: 0.035920 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.925468 2023/08/08 19:36:35 - mmengine - INFO - Epoch(train) [164][360/529] lr: 5.000000e-04 eta: 2:27:18 time: 0.364687 data_time: 0.035682 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.878910 2023/08/08 19:36:39 - mmengine - INFO - Epoch(train) [164][370/529] lr: 5.000000e-04 eta: 2:27:15 time: 0.366580 data_time: 0.036166 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.940960 2023/08/08 19:36:42 - mmengine - INFO - Epoch(train) [164][380/529] lr: 5.000000e-04 eta: 2:27:11 time: 0.360931 data_time: 0.032413 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.906862 2023/08/08 19:36:46 - mmengine - INFO - Epoch(train) [164][390/529] lr: 5.000000e-04 eta: 2:27:08 time: 0.365758 data_time: 0.032783 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.916285 2023/08/08 19:36:50 - mmengine - INFO - Epoch(train) [164][400/529] lr: 5.000000e-04 eta: 2:27:04 time: 0.372809 data_time: 0.033771 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.875800 2023/08/08 19:36:54 - mmengine - INFO - Epoch(train) [164][410/529] lr: 5.000000e-04 eta: 2:27:01 time: 0.376882 data_time: 0.034684 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.922218 2023/08/08 19:36:58 - mmengine - INFO - Epoch(train) [164][420/529] lr: 5.000000e-04 eta: 2:26:57 time: 0.374583 data_time: 0.034565 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.913932 2023/08/08 19:37:01 - mmengine - INFO - Epoch(train) [164][430/529] lr: 5.000000e-04 eta: 2:26:53 time: 0.375496 data_time: 0.034906 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.913559 2023/08/08 19:37:05 - mmengine - INFO - Epoch(train) [164][440/529] lr: 5.000000e-04 eta: 2:26:50 time: 0.378986 data_time: 0.034963 memory: 4565 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.921221 2023/08/08 19:37:09 - mmengine - INFO - Epoch(train) [164][450/529] lr: 5.000000e-04 eta: 2:26:46 time: 0.371148 data_time: 0.033689 memory: 4565 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.954312 2023/08/08 19:37:13 - mmengine - INFO - Epoch(train) [164][460/529] lr: 5.000000e-04 eta: 2:26:43 time: 0.370209 data_time: 0.032588 memory: 4565 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.925396 2023/08/08 19:37:16 - mmengine - INFO - Epoch(train) [164][470/529] lr: 5.000000e-04 eta: 2:26:39 time: 0.371286 data_time: 0.032484 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.932231 2023/08/08 19:37:20 - mmengine - INFO - Epoch(train) [164][480/529] lr: 5.000000e-04 eta: 2:26:35 time: 0.370024 data_time: 0.032285 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.881630 2023/08/08 19:37:23 - mmengine - INFO - Epoch(train) [164][490/529] lr: 5.000000e-04 eta: 2:26:32 time: 0.363978 data_time: 0.032154 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.836786 2023/08/08 19:37:27 - mmengine - INFO - Epoch(train) [164][500/529] lr: 5.000000e-04 eta: 2:26:28 time: 0.363883 data_time: 0.032241 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.886368 2023/08/08 19:37:31 - mmengine - INFO - Epoch(train) [164][510/529] lr: 5.000000e-04 eta: 2:26:25 time: 0.362277 data_time: 0.032782 memory: 4565 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.921257 2023/08/08 19:37:34 - mmengine - INFO - Epoch(train) [164][520/529] lr: 5.000000e-04 eta: 2:26:21 time: 0.361003 data_time: 0.032581 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.928239 2023/08/08 19:37:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:37:41 - mmengine - INFO - Epoch(train) [165][ 10/529] lr: 5.000000e-04 eta: 2:26:14 time: 0.365353 data_time: 0.040810 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.955276 2023/08/08 19:37:45 - mmengine - INFO - Epoch(train) [165][ 20/529] lr: 5.000000e-04 eta: 2:26:11 time: 0.365071 data_time: 0.041003 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.905659 2023/08/08 19:37:49 - mmengine - INFO - Epoch(train) [165][ 30/529] lr: 5.000000e-04 eta: 2:26:07 time: 0.372665 data_time: 0.041461 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.946170 2023/08/08 19:37:53 - mmengine - INFO - Epoch(train) [165][ 40/529] lr: 5.000000e-04 eta: 2:26:04 time: 0.379983 data_time: 0.041437 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.940472 2023/08/08 19:37:57 - mmengine - INFO - Epoch(train) [165][ 50/529] lr: 5.000000e-04 eta: 2:26:00 time: 0.384564 data_time: 0.041883 memory: 4565 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.878067 2023/08/08 19:38:00 - mmengine - INFO - Epoch(train) [165][ 60/529] lr: 5.000000e-04 eta: 2:25:56 time: 0.375235 data_time: 0.033205 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.931819 2023/08/08 19:38:04 - mmengine - INFO - Epoch(train) [165][ 70/529] lr: 5.000000e-04 eta: 2:25:53 time: 0.374470 data_time: 0.032956 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.928900 2023/08/08 19:38:07 - mmengine - INFO - Epoch(train) [165][ 80/529] lr: 5.000000e-04 eta: 2:25:49 time: 0.367073 data_time: 0.032564 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.938430 2023/08/08 19:38:11 - mmengine - INFO - Epoch(train) [165][ 90/529] lr: 5.000000e-04 eta: 2:25:46 time: 0.359259 data_time: 0.032627 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.947850 2023/08/08 19:38:14 - mmengine - INFO - Epoch(train) [165][100/529] lr: 5.000000e-04 eta: 2:25:42 time: 0.353783 data_time: 0.032414 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.862071 2023/08/08 19:38:18 - mmengine - INFO - Epoch(train) [165][110/529] lr: 5.000000e-04 eta: 2:25:38 time: 0.354800 data_time: 0.032362 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.915793 2023/08/08 19:38:21 - mmengine - INFO - Epoch(train) [165][120/529] lr: 5.000000e-04 eta: 2:25:35 time: 0.353331 data_time: 0.032512 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.903397 2023/08/08 19:38:25 - mmengine - INFO - Epoch(train) [165][130/529] lr: 5.000000e-04 eta: 2:25:31 time: 0.352541 data_time: 0.032474 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.875508 2023/08/08 19:38:28 - mmengine - INFO - Epoch(train) [165][140/529] lr: 5.000000e-04 eta: 2:25:27 time: 0.351060 data_time: 0.032161 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.939303 2023/08/08 19:38:32 - mmengine - INFO - Epoch(train) [165][150/529] lr: 5.000000e-04 eta: 2:25:24 time: 0.353285 data_time: 0.032628 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.925190 2023/08/08 19:38:36 - mmengine - INFO - Epoch(train) [165][160/529] lr: 5.000000e-04 eta: 2:25:20 time: 0.353875 data_time: 0.033216 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.886196 2023/08/08 19:38:39 - mmengine - INFO - Epoch(train) [165][170/529] lr: 5.000000e-04 eta: 2:25:17 time: 0.353704 data_time: 0.032905 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.879856 2023/08/08 19:38:43 - mmengine - INFO - Epoch(train) [165][180/529] lr: 5.000000e-04 eta: 2:25:13 time: 0.355703 data_time: 0.036606 memory: 4565 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.888599 2023/08/08 19:38:46 - mmengine - INFO - Epoch(train) [165][190/529] lr: 5.000000e-04 eta: 2:25:09 time: 0.355837 data_time: 0.036732 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.974313 2023/08/08 19:38:50 - mmengine - INFO - Epoch(train) [165][200/529] lr: 5.000000e-04 eta: 2:25:06 time: 0.355855 data_time: 0.036719 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.902584 2023/08/08 19:38:53 - mmengine - INFO - Epoch(train) [165][210/529] lr: 5.000000e-04 eta: 2:25:02 time: 0.354856 data_time: 0.036445 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.908804 2023/08/08 19:38:57 - mmengine - INFO - Epoch(train) [165][220/529] lr: 5.000000e-04 eta: 2:24:58 time: 0.357186 data_time: 0.036458 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.923630 2023/08/08 19:39:01 - mmengine - INFO - Epoch(train) [165][230/529] lr: 5.000000e-04 eta: 2:24:55 time: 0.355957 data_time: 0.032747 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.952516 2023/08/08 19:39:04 - mmengine - INFO - Epoch(train) [165][240/529] lr: 5.000000e-04 eta: 2:24:51 time: 0.355612 data_time: 0.032678 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.936406 2023/08/08 19:39:05 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:39:08 - mmengine - INFO - Epoch(train) [165][250/529] lr: 5.000000e-04 eta: 2:24:48 time: 0.353565 data_time: 0.032406 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.932624 2023/08/08 19:39:11 - mmengine - INFO - Epoch(train) [165][260/529] lr: 5.000000e-04 eta: 2:24:44 time: 0.356476 data_time: 0.032701 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.917071 2023/08/08 19:39:15 - mmengine - INFO - Epoch(train) [165][270/529] lr: 5.000000e-04 eta: 2:24:40 time: 0.354604 data_time: 0.032715 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.930218 2023/08/08 19:39:18 - mmengine - INFO - Epoch(train) [165][280/529] lr: 5.000000e-04 eta: 2:24:37 time: 0.354758 data_time: 0.032830 memory: 4565 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.904762 2023/08/08 19:39:22 - mmengine - INFO - Epoch(train) [165][290/529] lr: 5.000000e-04 eta: 2:24:33 time: 0.354844 data_time: 0.033060 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.898035 2023/08/08 19:39:25 - mmengine - INFO - Epoch(train) [165][300/529] lr: 5.000000e-04 eta: 2:24:29 time: 0.356127 data_time: 0.033489 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.896684 2023/08/08 19:39:29 - mmengine - INFO - Epoch(train) [165][310/529] lr: 5.000000e-04 eta: 2:24:26 time: 0.353410 data_time: 0.033121 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.941578 2023/08/08 19:39:32 - mmengine - INFO - Epoch(train) [165][320/529] lr: 5.000000e-04 eta: 2:24:22 time: 0.354045 data_time: 0.033116 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.869714 2023/08/08 19:39:36 - mmengine - INFO - Epoch(train) [165][330/529] lr: 5.000000e-04 eta: 2:24:19 time: 0.351105 data_time: 0.033281 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.950143 2023/08/08 19:39:39 - mmengine - INFO - Epoch(train) [165][340/529] lr: 5.000000e-04 eta: 2:24:15 time: 0.351716 data_time: 0.033562 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.884405 2023/08/08 19:39:43 - mmengine - INFO - Epoch(train) [165][350/529] lr: 5.000000e-04 eta: 2:24:11 time: 0.355851 data_time: 0.037246 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.894053 2023/08/08 19:39:47 - mmengine - INFO - Epoch(train) [165][360/529] lr: 5.000000e-04 eta: 2:24:08 time: 0.361830 data_time: 0.037618 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.884478 2023/08/08 19:39:50 - mmengine - INFO - Epoch(train) [165][370/529] lr: 5.000000e-04 eta: 2:24:04 time: 0.360606 data_time: 0.037988 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.911438 2023/08/08 19:39:54 - mmengine - INFO - Epoch(train) [165][380/529] lr: 5.000000e-04 eta: 2:24:01 time: 0.359924 data_time: 0.037731 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.889676 2023/08/08 19:39:57 - mmengine - INFO - Epoch(train) [165][390/529] lr: 5.000000e-04 eta: 2:23:57 time: 0.360661 data_time: 0.037289 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.901074 2023/08/08 19:40:01 - mmengine - INFO - Epoch(train) [165][400/529] lr: 5.000000e-04 eta: 2:23:53 time: 0.355862 data_time: 0.033112 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.919393 2023/08/08 19:40:05 - mmengine - INFO - Epoch(train) [165][410/529] lr: 5.000000e-04 eta: 2:23:50 time: 0.354111 data_time: 0.032649 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.923497 2023/08/08 19:40:08 - mmengine - INFO - Epoch(train) [165][420/529] lr: 5.000000e-04 eta: 2:23:46 time: 0.353883 data_time: 0.032229 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.913475 2023/08/08 19:40:12 - mmengine - INFO - Epoch(train) [165][430/529] lr: 5.000000e-04 eta: 2:23:42 time: 0.353985 data_time: 0.032136 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.915372 2023/08/08 19:40:15 - mmengine - INFO - Epoch(train) [165][440/529] lr: 5.000000e-04 eta: 2:23:39 time: 0.358429 data_time: 0.032380 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.881599 2023/08/08 19:40:19 - mmengine - INFO - Epoch(train) [165][450/529] lr: 5.000000e-04 eta: 2:23:35 time: 0.362200 data_time: 0.032533 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.886568 2023/08/08 19:40:23 - mmengine - INFO - Epoch(train) [165][460/529] lr: 5.000000e-04 eta: 2:23:32 time: 0.358393 data_time: 0.032499 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.902847 2023/08/08 19:40:26 - mmengine - INFO - Epoch(train) [165][470/529] lr: 5.000000e-04 eta: 2:23:28 time: 0.360725 data_time: 0.033035 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.936851 2023/08/08 19:40:30 - mmengine - INFO - Epoch(train) [165][480/529] lr: 5.000000e-04 eta: 2:23:24 time: 0.363821 data_time: 0.034250 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.927729 2023/08/08 19:40:34 - mmengine - INFO - Epoch(train) [165][490/529] lr: 5.000000e-04 eta: 2:23:21 time: 0.364021 data_time: 0.035009 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.935073 2023/08/08 19:40:37 - mmengine - INFO - Epoch(train) [165][500/529] lr: 5.000000e-04 eta: 2:23:17 time: 0.361847 data_time: 0.035748 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.956956 2023/08/08 19:40:41 - mmengine - INFO - Epoch(train) [165][510/529] lr: 5.000000e-04 eta: 2:23:14 time: 0.362805 data_time: 0.035688 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.888636 2023/08/08 19:40:44 - mmengine - INFO - Epoch(train) [165][520/529] lr: 5.000000e-04 eta: 2:23:10 time: 0.364272 data_time: 0.035745 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.917929 2023/08/08 19:40:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:40:52 - mmengine - INFO - Epoch(train) [166][ 10/529] lr: 5.000000e-04 eta: 2:23:03 time: 0.367915 data_time: 0.041759 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.919063 2023/08/08 19:40:55 - mmengine - INFO - Epoch(train) [166][ 20/529] lr: 5.000000e-04 eta: 2:23:00 time: 0.367444 data_time: 0.040852 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.909318 2023/08/08 19:40:59 - mmengine - INFO - Epoch(train) [166][ 30/529] lr: 5.000000e-04 eta: 2:22:56 time: 0.366952 data_time: 0.040661 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.934802 2023/08/08 19:41:02 - mmengine - INFO - Epoch(train) [166][ 40/529] lr: 5.000000e-04 eta: 2:22:52 time: 0.365636 data_time: 0.040119 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.911392 2023/08/08 19:41:06 - mmengine - INFO - Epoch(train) [166][ 50/529] lr: 5.000000e-04 eta: 2:22:49 time: 0.367727 data_time: 0.040248 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.949903 2023/08/08 19:41:10 - mmengine - INFO - Epoch(train) [166][ 60/529] lr: 5.000000e-04 eta: 2:22:45 time: 0.356858 data_time: 0.031876 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.889167 2023/08/08 19:41:13 - mmengine - INFO - Epoch(train) [166][ 70/529] lr: 5.000000e-04 eta: 2:22:42 time: 0.360466 data_time: 0.032022 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.963004 2023/08/08 19:41:17 - mmengine - INFO - Epoch(train) [166][ 80/529] lr: 5.000000e-04 eta: 2:22:38 time: 0.360633 data_time: 0.032104 memory: 4565 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.946484 2023/08/08 19:41:21 - mmengine - INFO - Epoch(train) [166][ 90/529] lr: 5.000000e-04 eta: 2:22:34 time: 0.362415 data_time: 0.032415 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.942083 2023/08/08 19:41:24 - mmengine - INFO - Epoch(train) [166][100/529] lr: 5.000000e-04 eta: 2:22:31 time: 0.369135 data_time: 0.032641 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.926156 2023/08/08 19:41:28 - mmengine - INFO - Epoch(train) [166][110/529] lr: 5.000000e-04 eta: 2:22:27 time: 0.377823 data_time: 0.032928 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.908138 2023/08/08 19:41:32 - mmengine - INFO - Epoch(train) [166][120/529] lr: 5.000000e-04 eta: 2:22:24 time: 0.374818 data_time: 0.032689 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.915294 2023/08/08 19:41:36 - mmengine - INFO - Epoch(train) [166][130/529] lr: 5.000000e-04 eta: 2:22:20 time: 0.376277 data_time: 0.032987 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.912817 2023/08/08 19:41:39 - mmengine - INFO - Epoch(train) [166][140/529] lr: 5.000000e-04 eta: 2:22:17 time: 0.374212 data_time: 0.032733 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.853114 2023/08/08 19:41:43 - mmengine - INFO - Epoch(train) [166][150/529] lr: 5.000000e-04 eta: 2:22:13 time: 0.367180 data_time: 0.032348 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.897081 2023/08/08 19:41:46 - mmengine - INFO - Epoch(train) [166][160/529] lr: 5.000000e-04 eta: 2:22:09 time: 0.359376 data_time: 0.031883 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.915124 2023/08/08 19:41:50 - mmengine - INFO - Epoch(train) [166][170/529] lr: 5.000000e-04 eta: 2:22:06 time: 0.358959 data_time: 0.032280 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.879100 2023/08/08 19:41:54 - mmengine - INFO - Epoch(train) [166][180/529] lr: 5.000000e-04 eta: 2:22:02 time: 0.358620 data_time: 0.032405 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.925550 2023/08/08 19:41:57 - mmengine - INFO - Epoch(train) [166][190/529] lr: 5.000000e-04 eta: 2:21:58 time: 0.359411 data_time: 0.032860 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.930474 2023/08/08 19:42:01 - mmengine - INFO - Epoch(train) [166][200/529] lr: 5.000000e-04 eta: 2:21:55 time: 0.360433 data_time: 0.032971 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.919852 2023/08/08 19:42:04 - mmengine - INFO - Epoch(train) [166][210/529] lr: 5.000000e-04 eta: 2:21:51 time: 0.360251 data_time: 0.033070 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.921614 2023/08/08 19:42:08 - mmengine - INFO - Epoch(train) [166][220/529] lr: 5.000000e-04 eta: 2:21:48 time: 0.364397 data_time: 0.032818 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.934549 2023/08/08 19:42:12 - mmengine - INFO - Epoch(train) [166][230/529] lr: 5.000000e-04 eta: 2:21:44 time: 0.363516 data_time: 0.032467 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.918325 2023/08/08 19:42:15 - mmengine - INFO - Epoch(train) [166][240/529] lr: 5.000000e-04 eta: 2:21:40 time: 0.363598 data_time: 0.032211 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.909059 2023/08/08 19:42:19 - mmengine - INFO - Epoch(train) [166][250/529] lr: 5.000000e-04 eta: 2:21:37 time: 0.362123 data_time: 0.032197 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.922769 2023/08/08 19:42:23 - mmengine - INFO - Epoch(train) [166][260/529] lr: 5.000000e-04 eta: 2:21:33 time: 0.366336 data_time: 0.032712 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.908221 2023/08/08 19:42:26 - mmengine - INFO - Epoch(train) [166][270/529] lr: 5.000000e-04 eta: 2:21:30 time: 0.362722 data_time: 0.032711 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.904492 2023/08/08 19:42:30 - mmengine - INFO - Epoch(train) [166][280/529] lr: 5.000000e-04 eta: 2:21:26 time: 0.362677 data_time: 0.032657 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.878096 2023/08/08 19:42:34 - mmengine - INFO - Epoch(train) [166][290/529] lr: 5.000000e-04 eta: 2:21:22 time: 0.362187 data_time: 0.032401 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.900960 2023/08/08 19:42:37 - mmengine - INFO - Epoch(train) [166][300/529] lr: 5.000000e-04 eta: 2:21:19 time: 0.365127 data_time: 0.032212 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.914374 2023/08/08 19:42:41 - mmengine - INFO - Epoch(train) [166][310/529] lr: 5.000000e-04 eta: 2:21:15 time: 0.361755 data_time: 0.031725 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.937435 2023/08/08 19:42:45 - mmengine - INFO - Epoch(train) [166][320/529] lr: 5.000000e-04 eta: 2:21:12 time: 0.364017 data_time: 0.031846 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.955620 2023/08/08 19:42:48 - mmengine - INFO - Epoch(train) [166][330/529] lr: 5.000000e-04 eta: 2:21:08 time: 0.365155 data_time: 0.031717 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.922026 2023/08/08 19:42:52 - mmengine - INFO - Epoch(train) [166][340/529] lr: 5.000000e-04 eta: 2:21:04 time: 0.365219 data_time: 0.031945 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.912273 2023/08/08 19:42:55 - mmengine - INFO - Epoch(train) [166][350/529] lr: 5.000000e-04 eta: 2:21:01 time: 0.362139 data_time: 0.032093 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.943932 2023/08/08 19:42:59 - mmengine - INFO - Epoch(train) [166][360/529] lr: 5.000000e-04 eta: 2:20:57 time: 0.361497 data_time: 0.032087 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.942444 2023/08/08 19:43:03 - mmengine - INFO - Epoch(train) [166][370/529] lr: 5.000000e-04 eta: 2:20:54 time: 0.365101 data_time: 0.032379 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.887574 2023/08/08 19:43:07 - mmengine - INFO - Epoch(train) [166][380/529] lr: 5.000000e-04 eta: 2:20:50 time: 0.365223 data_time: 0.033061 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.935036 2023/08/08 19:43:10 - mmengine - INFO - Epoch(train) [166][390/529] lr: 5.000000e-04 eta: 2:20:47 time: 0.367053 data_time: 0.033006 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.933228 2023/08/08 19:43:14 - mmengine - INFO - Epoch(train) [166][400/529] lr: 5.000000e-04 eta: 2:20:43 time: 0.367634 data_time: 0.032937 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.904659 2023/08/08 19:43:18 - mmengine - INFO - Epoch(train) [166][410/529] lr: 5.000000e-04 eta: 2:20:39 time: 0.370499 data_time: 0.032887 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.912617 2023/08/08 19:43:21 - mmengine - INFO - Epoch(train) [166][420/529] lr: 5.000000e-04 eta: 2:20:36 time: 0.364928 data_time: 0.032350 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.934007 2023/08/08 19:43:25 - mmengine - INFO - Epoch(train) [166][430/529] lr: 5.000000e-04 eta: 2:20:32 time: 0.365836 data_time: 0.031880 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.906464 2023/08/08 19:43:28 - mmengine - INFO - Epoch(train) [166][440/529] lr: 5.000000e-04 eta: 2:20:29 time: 0.363985 data_time: 0.031806 memory: 4565 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.875200 2023/08/08 19:43:32 - mmengine - INFO - Epoch(train) [166][450/529] lr: 5.000000e-04 eta: 2:20:25 time: 0.365349 data_time: 0.031963 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.908202 2023/08/08 19:43:36 - mmengine - INFO - Epoch(train) [166][460/529] lr: 5.000000e-04 eta: 2:20:21 time: 0.361089 data_time: 0.031903 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.917542 2023/08/08 19:43:39 - mmengine - INFO - Epoch(train) [166][470/529] lr: 5.000000e-04 eta: 2:20:18 time: 0.363094 data_time: 0.035590 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.854616 2023/08/08 19:43:43 - mmengine - INFO - Epoch(train) [166][480/529] lr: 5.000000e-04 eta: 2:20:14 time: 0.360105 data_time: 0.035457 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.911014 2023/08/08 19:43:46 - mmengine - INFO - Epoch(train) [166][490/529] lr: 5.000000e-04 eta: 2:20:10 time: 0.360773 data_time: 0.035463 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.951541 2023/08/08 19:43:50 - mmengine - INFO - Epoch(train) [166][500/529] lr: 5.000000e-04 eta: 2:20:07 time: 0.360516 data_time: 0.035454 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.919753 2023/08/08 19:43:54 - mmengine - INFO - Epoch(train) [166][510/529] lr: 5.000000e-04 eta: 2:20:03 time: 0.364351 data_time: 0.036387 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.930936 2023/08/08 19:43:57 - mmengine - INFO - Epoch(train) [166][520/529] lr: 5.000000e-04 eta: 2:20:00 time: 0.361437 data_time: 0.033231 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.876727 2023/08/08 19:44:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:44:04 - mmengine - INFO - Epoch(train) [167][ 10/529] lr: 5.000000e-04 eta: 2:19:53 time: 0.362636 data_time: 0.037399 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.941205 2023/08/08 19:44:08 - mmengine - INFO - Epoch(train) [167][ 20/529] lr: 5.000000e-04 eta: 2:19:49 time: 0.361594 data_time: 0.037358 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.945052 2023/08/08 19:44:11 - mmengine - INFO - Epoch(train) [167][ 30/529] lr: 5.000000e-04 eta: 2:19:46 time: 0.356932 data_time: 0.036335 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.905410 2023/08/08 19:44:15 - mmengine - INFO - Epoch(train) [167][ 40/529] lr: 5.000000e-04 eta: 2:19:42 time: 0.359224 data_time: 0.036132 memory: 4565 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.872962 2023/08/08 19:44:19 - mmengine - INFO - Epoch(train) [167][ 50/529] lr: 5.000000e-04 eta: 2:19:38 time: 0.362575 data_time: 0.036694 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.929755 2023/08/08 19:44:22 - mmengine - INFO - Epoch(train) [167][ 60/529] lr: 5.000000e-04 eta: 2:19:35 time: 0.358126 data_time: 0.032219 memory: 4565 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.933805 2023/08/08 19:44:26 - mmengine - INFO - Epoch(train) [167][ 70/529] lr: 5.000000e-04 eta: 2:19:31 time: 0.358847 data_time: 0.032519 memory: 4565 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.921327 2023/08/08 19:44:29 - mmengine - INFO - Epoch(train) [167][ 80/529] lr: 5.000000e-04 eta: 2:19:28 time: 0.358059 data_time: 0.032391 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.913278 2023/08/08 19:44:33 - mmengine - INFO - Epoch(train) [167][ 90/529] lr: 5.000000e-04 eta: 2:19:24 time: 0.355824 data_time: 0.032285 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.931771 2023/08/08 19:44:36 - mmengine - INFO - Epoch(train) [167][100/529] lr: 5.000000e-04 eta: 2:19:20 time: 0.354868 data_time: 0.032068 memory: 4565 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.922832 2023/08/08 19:44:40 - mmengine - INFO - Epoch(train) [167][110/529] lr: 5.000000e-04 eta: 2:19:17 time: 0.360585 data_time: 0.032639 memory: 4565 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.917665 2023/08/08 19:44:44 - mmengine - INFO - Epoch(train) [167][120/529] lr: 5.000000e-04 eta: 2:19:13 time: 0.359218 data_time: 0.033078 memory: 4565 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.927737 2023/08/08 19:44:47 - mmengine - INFO - Epoch(train) [167][130/529] lr: 5.000000e-04 eta: 2:19:09 time: 0.359247 data_time: 0.033328 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.856929 2023/08/08 19:44:51 - mmengine - INFO - Epoch(train) [167][140/529] lr: 5.000000e-04 eta: 2:19:06 time: 0.357948 data_time: 0.033225 memory: 4565 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.939913 2023/08/08 19:44:54 - mmengine - INFO - Epoch(train) [167][150/529] lr: 5.000000e-04 eta: 2:19:02 time: 0.357134 data_time: 0.033220 memory: 4565 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.906688 2023/08/08 19:44:58 - mmengine - INFO - Epoch(train) [167][160/529] lr: 5.000000e-04 eta: 2:18:59 time: 0.351404 data_time: 0.032877 memory: 4565 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.902843 2023/08/08 19:45:01 - mmengine - INFO - Epoch(train) [167][170/529] lr: 5.000000e-04 eta: 2:18:55 time: 0.353583 data_time: 0.032220 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.930474 2023/08/08 19:45:05 - mmengine - INFO - Epoch(train) [167][180/529] lr: 5.000000e-04 eta: 2:18:51 time: 0.353245 data_time: 0.032046 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.923526 2023/08/08 19:45:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:45:08 - mmengine - INFO - Epoch(train) [167][190/529] lr: 5.000000e-04 eta: 2:18:48 time: 0.353221 data_time: 0.032203 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.911054 2023/08/08 19:45:12 - mmengine - INFO - Epoch(train) [167][200/529] lr: 5.000000e-04 eta: 2:18:44 time: 0.352121 data_time: 0.032548 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.889553 2023/08/08 19:45:15 - mmengine - INFO - Epoch(train) [167][210/529] lr: 5.000000e-04 eta: 2:18:40 time: 0.351565 data_time: 0.032723 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.927890 2023/08/08 19:45:19 - mmengine - INFO - Epoch(train) [167][220/529] lr: 5.000000e-04 eta: 2:18:37 time: 0.353838 data_time: 0.033014 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.925866 2023/08/08 19:45:23 - mmengine - INFO - Epoch(train) [167][230/529] lr: 5.000000e-04 eta: 2:18:33 time: 0.354353 data_time: 0.033153 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.940899 2023/08/08 19:45:26 - mmengine - INFO - Epoch(train) [167][240/529] lr: 5.000000e-04 eta: 2:18:30 time: 0.355690 data_time: 0.033539 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.913182 2023/08/08 19:45:30 - mmengine - INFO - Epoch(train) [167][250/529] lr: 5.000000e-04 eta: 2:18:26 time: 0.355898 data_time: 0.034032 memory: 4565 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.926201 2023/08/08 19:45:33 - mmengine - INFO - Epoch(train) [167][260/529] lr: 5.000000e-04 eta: 2:18:22 time: 0.359922 data_time: 0.034654 memory: 4565 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.947359 2023/08/08 19:45:37 - mmengine - INFO - Epoch(train) [167][270/529] lr: 5.000000e-04 eta: 2:18:19 time: 0.354499 data_time: 0.034562 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.937523 2023/08/08 19:45:41 - mmengine - INFO - Epoch(train) [167][280/529] lr: 5.000000e-04 eta: 2:18:15 time: 0.356810 data_time: 0.034963 memory: 4565 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.889943 2023/08/08 19:45:44 - mmengine - INFO - Epoch(train) [167][290/529] lr: 5.000000e-04 eta: 2:18:11 time: 0.355499 data_time: 0.034458 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.937166 2023/08/08 19:45:48 - mmengine - INFO - Epoch(train) [167][300/529] lr: 5.000000e-04 eta: 2:18:08 time: 0.358281 data_time: 0.034103 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.857904 2023/08/08 19:45:51 - mmengine - INFO - Epoch(train) [167][310/529] lr: 5.000000e-04 eta: 2:18:04 time: 0.354880 data_time: 0.033405 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.893579 2023/08/08 19:45:55 - mmengine - INFO - Epoch(train) [167][320/529] lr: 5.000000e-04 eta: 2:18:01 time: 0.356591 data_time: 0.033306 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.904250 2023/08/08 19:45:58 - mmengine - INFO - Epoch(train) [167][330/529] lr: 5.000000e-04 eta: 2:17:57 time: 0.353616 data_time: 0.033027 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.880880 2023/08/08 19:46:02 - mmengine - INFO - Epoch(train) [167][340/529] lr: 5.000000e-04 eta: 2:17:53 time: 0.354393 data_time: 0.033068 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.899015 2023/08/08 19:46:05 - mmengine - INFO - Epoch(train) [167][350/529] lr: 5.000000e-04 eta: 2:17:50 time: 0.352965 data_time: 0.032662 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.873330 2023/08/08 19:46:09 - mmengine - INFO - Epoch(train) [167][360/529] lr: 5.000000e-04 eta: 2:17:46 time: 0.352475 data_time: 0.032510 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.940286 2023/08/08 19:46:12 - mmengine - INFO - Epoch(train) [167][370/529] lr: 5.000000e-04 eta: 2:17:43 time: 0.354656 data_time: 0.032984 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.854019 2023/08/08 19:46:16 - mmengine - INFO - Epoch(train) [167][380/529] lr: 5.000000e-04 eta: 2:17:39 time: 0.355269 data_time: 0.032963 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.912831 2023/08/08 19:46:20 - mmengine - INFO - Epoch(train) [167][390/529] lr: 5.000000e-04 eta: 2:17:35 time: 0.357855 data_time: 0.032869 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.899416 2023/08/08 19:46:23 - mmengine - INFO - Epoch(train) [167][400/529] lr: 5.000000e-04 eta: 2:17:32 time: 0.361282 data_time: 0.032962 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.920623 2023/08/08 19:46:27 - mmengine - INFO - Epoch(train) [167][410/529] lr: 5.000000e-04 eta: 2:17:28 time: 0.362400 data_time: 0.033829 memory: 4565 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.946528 2023/08/08 19:46:30 - mmengine - INFO - Epoch(train) [167][420/529] lr: 5.000000e-04 eta: 2:17:24 time: 0.359238 data_time: 0.033322 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.840302 2023/08/08 19:46:34 - mmengine - INFO - Epoch(train) [167][430/529] lr: 5.000000e-04 eta: 2:17:21 time: 0.362353 data_time: 0.033235 memory: 4565 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.951379 2023/08/08 19:46:38 - mmengine - INFO - Epoch(train) [167][440/529] lr: 5.000000e-04 eta: 2:17:17 time: 0.359258 data_time: 0.033498 memory: 4565 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.934597 2023/08/08 19:46:41 - mmengine - INFO - Epoch(train) [167][450/529] lr: 5.000000e-04 eta: 2:17:14 time: 0.354670 data_time: 0.033552 memory: 4565 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.915438 2023/08/08 19:46:45 - mmengine - INFO - Epoch(train) [167][460/529] lr: 5.000000e-04 eta: 2:17:10 time: 0.353483 data_time: 0.032651 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.922924 2023/08/08 19:46:48 - mmengine - INFO - Epoch(train) [167][470/529] lr: 5.000000e-04 eta: 2:17:06 time: 0.354555 data_time: 0.032518 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.904284 2023/08/08 19:46:52 - mmengine - INFO - Epoch(train) [167][480/529] lr: 5.000000e-04 eta: 2:17:03 time: 0.352424 data_time: 0.032882 memory: 4565 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.911766 2023/08/08 19:46:55 - mmengine - INFO - Epoch(train) [167][490/529] lr: 5.000000e-04 eta: 2:16:59 time: 0.353954 data_time: 0.033127 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.880114 2023/08/08 19:46:59 - mmengine - INFO - Epoch(train) [167][500/529] lr: 5.000000e-04 eta: 2:16:55 time: 0.355467 data_time: 0.032928 memory: 4565 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.869534 2023/08/08 19:47:02 - mmengine - INFO - Epoch(train) [167][510/529] lr: 5.000000e-04 eta: 2:16:52 time: 0.356636 data_time: 0.032949 memory: 4565 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.915921 2023/08/08 19:47:06 - mmengine - INFO - Epoch(train) [167][520/529] lr: 5.000000e-04 eta: 2:16:48 time: 0.357674 data_time: 0.033094 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.910250 2023/08/08 19:47:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:47:13 - mmengine - INFO - Epoch(train) [168][ 10/529] lr: 5.000000e-04 eta: 2:16:41 time: 0.363154 data_time: 0.036569 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.878343 2023/08/08 19:47:17 - mmengine - INFO - Epoch(train) [168][ 20/529] lr: 5.000000e-04 eta: 2:16:38 time: 0.363783 data_time: 0.036643 memory: 4565 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.942835 2023/08/08 19:47:20 - mmengine - INFO - Epoch(train) [168][ 30/529] lr: 5.000000e-04 eta: 2:16:34 time: 0.366614 data_time: 0.037024 memory: 4565 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.909042 2023/08/08 19:47:24 - mmengine - INFO - Epoch(train) [168][ 40/529] lr: 5.000000e-04 eta: 2:16:31 time: 0.371139 data_time: 0.040792 memory: 4565 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.963675 2023/08/08 19:47:28 - mmengine - INFO - Epoch(train) [168][ 50/529] lr: 5.000000e-04 eta: 2:16:27 time: 0.371971 data_time: 0.040891 memory: 4565 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.907122 2023/08/08 19:47:32 - mmengine - INFO - Epoch(train) [168][ 60/529] lr: 5.000000e-04 eta: 2:16:24 time: 0.368007 data_time: 0.036093 memory: 4565 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.913936 2023/08/08 19:47:35 - mmengine - INFO - Epoch(train) [168][ 70/529] lr: 5.000000e-04 eta: 2:16:20 time: 0.367519 data_time: 0.035869 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.928357 2023/08/08 19:47:39 - mmengine - INFO - Epoch(train) [168][ 80/529] lr: 5.000000e-04 eta: 2:16:16 time: 0.364376 data_time: 0.035549 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.929160 2023/08/08 19:47:42 - mmengine - INFO - Epoch(train) [168][ 90/529] lr: 5.000000e-04 eta: 2:16:13 time: 0.360804 data_time: 0.031524 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.908465 2023/08/08 19:47:46 - mmengine - INFO - Epoch(train) [168][100/529] lr: 5.000000e-04 eta: 2:16:09 time: 0.361908 data_time: 0.032540 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.909771 2023/08/08 19:47:50 - mmengine - INFO - Epoch(train) [168][110/529] lr: 5.000000e-04 eta: 2:16:05 time: 0.360060 data_time: 0.033460 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.895290 2023/08/08 19:47:53 - mmengine - INFO - Epoch(train) [168][120/529] lr: 5.000000e-04 eta: 2:16:02 time: 0.362698 data_time: 0.033681 memory: 4565 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.941605 2023/08/08 19:47:57 - mmengine - INFO - Epoch(train) [168][130/529] lr: 5.000000e-04 eta: 2:15:58 time: 0.364021 data_time: 0.033833 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.892284 2023/08/08 19:48:01 - mmengine - INFO - Epoch(train) [168][140/529] lr: 5.000000e-04 eta: 2:15:55 time: 0.364061 data_time: 0.034254 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.914869 2023/08/08 19:48:04 - mmengine - INFO - Epoch(train) [168][150/529] lr: 5.000000e-04 eta: 2:15:51 time: 0.365798 data_time: 0.033304 memory: 4565 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.881758 2023/08/08 19:48:08 - mmengine - INFO - Epoch(train) [168][160/529] lr: 5.000000e-04 eta: 2:15:48 time: 0.369468 data_time: 0.032707 memory: 4565 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.926272 2023/08/08 19:48:12 - mmengine - INFO - Epoch(train) [168][170/529] lr: 5.000000e-04 eta: 2:15:44 time: 0.373805 data_time: 0.032830 memory: 4565 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.899246 2023/08/08 19:48:16 - mmengine - INFO - Epoch(train) [168][180/529] lr: 5.000000e-04 eta: 2:15:40 time: 0.379874 data_time: 0.032796 memory: 4565 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.955113 2023/08/08 19:48:20 - mmengine - INFO - Epoch(train) [168][190/529] lr: 5.000000e-04 eta: 2:15:37 time: 0.386684 data_time: 0.032897 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.910378 2023/08/08 19:48:24 - mmengine - INFO - Epoch(train) [168][200/529] lr: 5.000000e-04 eta: 2:15:33 time: 0.388208 data_time: 0.033479 memory: 4565 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.913308 2023/08/08 19:48:28 - mmengine - INFO - Epoch(train) [168][210/529] lr: 5.000000e-04 eta: 2:15:30 time: 0.393322 data_time: 0.033712 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.955726 2023/08/08 19:48:31 - mmengine - INFO - Epoch(train) [168][220/529] lr: 5.000000e-04 eta: 2:15:26 time: 0.387374 data_time: 0.033443 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.904155 2023/08/08 19:48:35 - mmengine - INFO - Epoch(train) [168][230/529] lr: 5.000000e-04 eta: 2:15:23 time: 0.380453 data_time: 0.033193 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.904108 2023/08/08 19:48:39 - mmengine - INFO - Epoch(train) [168][240/529] lr: 5.000000e-04 eta: 2:15:19 time: 0.377294 data_time: 0.033005 memory: 4565 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.886351 2023/08/08 19:48:42 - mmengine - INFO - Epoch(train) [168][250/529] lr: 5.000000e-04 eta: 2:15:16 time: 0.373620 data_time: 0.032401 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.876677 2023/08/08 19:48:46 - mmengine - INFO - Epoch(train) [168][260/529] lr: 5.000000e-04 eta: 2:15:12 time: 0.365825 data_time: 0.032083 memory: 4565 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.938331 2023/08/08 19:48:50 - mmengine - INFO - Epoch(train) [168][270/529] lr: 5.000000e-04 eta: 2:15:08 time: 0.364864 data_time: 0.032036 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.867705 2023/08/08 19:48:53 - mmengine - INFO - Epoch(train) [168][280/529] lr: 5.000000e-04 eta: 2:15:05 time: 0.365891 data_time: 0.032173 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.902341 2023/08/08 19:48:57 - mmengine - INFO - Epoch(train) [168][290/529] lr: 5.000000e-04 eta: 2:15:01 time: 0.360731 data_time: 0.031906 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.947761 2023/08/08 19:49:00 - mmengine - INFO - Epoch(train) [168][300/529] lr: 5.000000e-04 eta: 2:14:57 time: 0.360159 data_time: 0.031779 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.931791 2023/08/08 19:49:04 - mmengine - INFO - Epoch(train) [168][310/529] lr: 5.000000e-04 eta: 2:14:54 time: 0.358785 data_time: 0.031859 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.932999 2023/08/08 19:49:08 - mmengine - INFO - Epoch(train) [168][320/529] lr: 5.000000e-04 eta: 2:14:50 time: 0.360364 data_time: 0.031824 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.829605 2023/08/08 19:49:11 - mmengine - INFO - Epoch(train) [168][330/529] lr: 5.000000e-04 eta: 2:14:47 time: 0.360346 data_time: 0.031827 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.946207 2023/08/08 19:49:15 - mmengine - INFO - Epoch(train) [168][340/529] lr: 5.000000e-04 eta: 2:14:43 time: 0.363068 data_time: 0.031974 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.898339 2023/08/08 19:49:19 - mmengine - INFO - Epoch(train) [168][350/529] lr: 5.000000e-04 eta: 2:14:40 time: 0.364048 data_time: 0.033149 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.879795 2023/08/08 19:49:22 - mmengine - INFO - Epoch(train) [168][360/529] lr: 5.000000e-04 eta: 2:14:36 time: 0.367329 data_time: 0.034384 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.876099 2023/08/08 19:49:26 - mmengine - INFO - Epoch(train) [168][370/529] lr: 5.000000e-04 eta: 2:14:32 time: 0.364566 data_time: 0.034349 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.965441 2023/08/08 19:49:30 - mmengine - INFO - Epoch(train) [168][380/529] lr: 5.000000e-04 eta: 2:14:29 time: 0.367341 data_time: 0.034523 memory: 4565 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.897539 2023/08/08 19:49:33 - mmengine - INFO - Epoch(train) [168][390/529] lr: 5.000000e-04 eta: 2:14:25 time: 0.367229 data_time: 0.035172 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.858488 2023/08/08 19:49:37 - mmengine - INFO - Epoch(train) [168][400/529] lr: 5.000000e-04 eta: 2:14:22 time: 0.369399 data_time: 0.034580 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.951877 2023/08/08 19:49:41 - mmengine - INFO - Epoch(train) [168][410/529] lr: 5.000000e-04 eta: 2:14:18 time: 0.367081 data_time: 0.033420 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.866221 2023/08/08 19:49:45 - mmengine - INFO - Epoch(train) [168][420/529] lr: 5.000000e-04 eta: 2:14:14 time: 0.375236 data_time: 0.033805 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.917121 2023/08/08 19:49:48 - mmengine - INFO - Epoch(train) [168][430/529] lr: 5.000000e-04 eta: 2:14:11 time: 0.375001 data_time: 0.033703 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.915507 2023/08/08 19:49:52 - mmengine - INFO - Epoch(train) [168][440/529] lr: 5.000000e-04 eta: 2:14:07 time: 0.375442 data_time: 0.033058 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.908006 2023/08/08 19:49:56 - mmengine - INFO - Epoch(train) [168][450/529] lr: 5.000000e-04 eta: 2:14:04 time: 0.373893 data_time: 0.032720 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.930156 2023/08/08 19:49:59 - mmengine - INFO - Epoch(train) [168][460/529] lr: 5.000000e-04 eta: 2:14:00 time: 0.373676 data_time: 0.032604 memory: 4565 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.918463 2023/08/08 19:50:03 - mmengine - INFO - Epoch(train) [168][470/529] lr: 5.000000e-04 eta: 2:13:56 time: 0.366467 data_time: 0.032438 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.924013 2023/08/08 19:50:07 - mmengine - INFO - Epoch(train) [168][480/529] lr: 5.000000e-04 eta: 2:13:53 time: 0.362890 data_time: 0.032093 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.878814 2023/08/08 19:50:10 - mmengine - INFO - Epoch(train) [168][490/529] lr: 5.000000e-04 eta: 2:13:49 time: 0.360745 data_time: 0.032080 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.900672 2023/08/08 19:50:14 - mmengine - INFO - Epoch(train) [168][500/529] lr: 5.000000e-04 eta: 2:13:46 time: 0.363324 data_time: 0.035960 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.931585 2023/08/08 19:50:18 - mmengine - INFO - Epoch(train) [168][510/529] lr: 5.000000e-04 eta: 2:13:42 time: 0.363868 data_time: 0.035963 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.918096 2023/08/08 19:50:22 - mmengine - INFO - Epoch(train) [168][520/529] lr: 5.000000e-04 eta: 2:13:39 time: 0.375021 data_time: 0.036268 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.904294 2023/08/08 19:50:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:50:29 - mmengine - INFO - Epoch(train) [169][ 10/529] lr: 5.000000e-04 eta: 2:13:32 time: 0.378264 data_time: 0.040462 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.884456 2023/08/08 19:50:32 - mmengine - INFO - Epoch(train) [169][ 20/529] lr: 5.000000e-04 eta: 2:13:28 time: 0.374788 data_time: 0.036580 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.923412 2023/08/08 19:50:36 - mmengine - INFO - Epoch(train) [169][ 30/529] lr: 5.000000e-04 eta: 2:13:25 time: 0.374428 data_time: 0.036187 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.928037 2023/08/08 19:50:40 - mmengine - INFO - Epoch(train) [169][ 40/529] lr: 5.000000e-04 eta: 2:13:21 time: 0.371990 data_time: 0.036304 memory: 4565 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.906913 2023/08/08 19:50:44 - mmengine - INFO - Epoch(train) [169][ 50/529] lr: 5.000000e-04 eta: 2:13:18 time: 0.377442 data_time: 0.036594 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.874215 2023/08/08 19:50:48 - mmengine - INFO - Epoch(train) [169][ 60/529] lr: 5.000000e-04 eta: 2:13:14 time: 0.378349 data_time: 0.033178 memory: 4565 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.952134 2023/08/08 19:50:51 - mmengine - INFO - Epoch(train) [169][ 70/529] lr: 5.000000e-04 eta: 2:13:10 time: 0.378867 data_time: 0.033486 memory: 4565 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.909010 2023/08/08 19:50:55 - mmengine - INFO - Epoch(train) [169][ 80/529] lr: 5.000000e-04 eta: 2:13:07 time: 0.377933 data_time: 0.033807 memory: 4565 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.931125 2023/08/08 19:50:59 - mmengine - INFO - Epoch(train) [169][ 90/529] lr: 5.000000e-04 eta: 2:13:03 time: 0.369986 data_time: 0.033127 memory: 4565 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.915658 2023/08/08 19:51:02 - mmengine - INFO - Epoch(train) [169][100/529] lr: 5.000000e-04 eta: 2:13:00 time: 0.364744 data_time: 0.033249 memory: 4565 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.929844 2023/08/08 19:51:06 - mmengine - INFO - Epoch(train) [169][110/529] lr: 5.000000e-04 eta: 2:12:56 time: 0.364612 data_time: 0.033215 memory: 4565 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.931475 2023/08/08 19:51:10 - mmengine - INFO - Epoch(train) [169][120/529] lr: 5.000000e-04 eta: 2:12:52 time: 0.364553 data_time: 0.033448 memory: 4565 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.882118 2023/08/08 19:51:12 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:51:13 - mmengine - INFO - Epoch(train) [169][130/529] lr: 5.000000e-04 eta: 2:12:49 time: 0.362711 data_time: 0.034273 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.858357 2023/08/08 19:51:17 - mmengine - INFO - Epoch(train) [169][140/529] lr: 5.000000e-04 eta: 2:12:45 time: 0.361883 data_time: 0.035068 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.932507 2023/08/08 19:51:20 - mmengine - INFO - Epoch(train) [169][150/529] lr: 5.000000e-04 eta: 2:12:41 time: 0.358719 data_time: 0.034508 memory: 4565 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.930814 2023/08/08 19:51:24 - mmengine - INFO - Epoch(train) [169][160/529] lr: 5.000000e-04 eta: 2:12:38 time: 0.357418 data_time: 0.034064 memory: 4565 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.920146 2023/08/08 19:51:27 - mmengine - INFO - Epoch(train) [169][170/529] lr: 5.000000e-04 eta: 2:12:34 time: 0.356566 data_time: 0.033809 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.908747 2023/08/08 19:51:31 - mmengine - INFO - Epoch(train) [169][180/529] lr: 5.000000e-04 eta: 2:12:31 time: 0.357498 data_time: 0.032907 memory: 4565 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.914155 2023/08/08 19:51:35 - mmengine - INFO - Epoch(train) [169][190/529] lr: 5.000000e-04 eta: 2:12:27 time: 0.357694 data_time: 0.032431 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.903205 2023/08/08 19:51:38 - mmengine - INFO - Epoch(train) [169][200/529] lr: 5.000000e-04 eta: 2:12:23 time: 0.358043 data_time: 0.032328 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.864306 2023/08/08 19:51:42 - mmengine - INFO - Epoch(train) [169][210/529] lr: 5.000000e-04 eta: 2:12:20 time: 0.353493 data_time: 0.032241 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.915573 2023/08/08 19:51:45 - mmengine - INFO - Epoch(train) [169][220/529] lr: 5.000000e-04 eta: 2:12:16 time: 0.352594 data_time: 0.032458 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.914017 2023/08/08 19:51:49 - mmengine - INFO - Epoch(train) [169][230/529] lr: 5.000000e-04 eta: 2:12:13 time: 0.353609 data_time: 0.032789 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.911605 2023/08/08 19:51:52 - mmengine - INFO - Epoch(train) [169][240/529] lr: 5.000000e-04 eta: 2:12:09 time: 0.353376 data_time: 0.032740 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.870041 2023/08/08 19:51:56 - mmengine - INFO - Epoch(train) [169][250/529] lr: 5.000000e-04 eta: 2:12:05 time: 0.356885 data_time: 0.033120 memory: 4565 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.912728 2023/08/08 19:51:59 - mmengine - INFO - Epoch(train) [169][260/529] lr: 5.000000e-04 eta: 2:12:02 time: 0.356987 data_time: 0.033140 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.915930 2023/08/08 19:52:03 - mmengine - INFO - Epoch(train) [169][270/529] lr: 5.000000e-04 eta: 2:11:58 time: 0.357045 data_time: 0.032616 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.888571 2023/08/08 19:52:07 - mmengine - INFO - Epoch(train) [169][280/529] lr: 5.000000e-04 eta: 2:11:54 time: 0.355448 data_time: 0.032193 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.928880 2023/08/08 19:52:10 - mmengine - INFO - Epoch(train) [169][290/529] lr: 5.000000e-04 eta: 2:11:51 time: 0.358666 data_time: 0.032275 memory: 4565 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.941433 2023/08/08 19:52:14 - mmengine - INFO - Epoch(train) [169][300/529] lr: 5.000000e-04 eta: 2:11:47 time: 0.360417 data_time: 0.035897 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.923914 2023/08/08 19:52:18 - mmengine - INFO - Epoch(train) [169][310/529] lr: 5.000000e-04 eta: 2:11:44 time: 0.363049 data_time: 0.035984 memory: 4565 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.895052 2023/08/08 19:52:21 - mmengine - INFO - Epoch(train) [169][320/529] lr: 5.000000e-04 eta: 2:11:40 time: 0.363402 data_time: 0.036836 memory: 4565 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.910947 2023/08/08 19:52:25 - mmengine - INFO - Epoch(train) [169][330/529] lr: 5.000000e-04 eta: 2:11:36 time: 0.364355 data_time: 0.037655 memory: 4565 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.949874 2023/08/08 19:52:28 - mmengine - INFO - Epoch(train) [169][340/529] lr: 5.000000e-04 eta: 2:11:33 time: 0.362060 data_time: 0.038649 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.905858 2023/08/08 19:52:32 - mmengine - INFO - Epoch(train) [169][350/529] lr: 5.000000e-04 eta: 2:11:29 time: 0.358116 data_time: 0.035079 memory: 4565 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.915589 2023/08/08 19:52:35 - mmengine - INFO - Epoch(train) [169][360/529] lr: 5.000000e-04 eta: 2:11:26 time: 0.355332 data_time: 0.035403 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.914477 2023/08/08 19:52:39 - mmengine - INFO - Epoch(train) [169][370/529] lr: 5.000000e-04 eta: 2:11:22 time: 0.355048 data_time: 0.034827 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.930735 2023/08/08 19:52:43 - mmengine - INFO - Epoch(train) [169][380/529] lr: 5.000000e-04 eta: 2:11:18 time: 0.357349 data_time: 0.034153 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.910457 2023/08/08 19:52:46 - mmengine - INFO - Epoch(train) [169][390/529] lr: 5.000000e-04 eta: 2:11:15 time: 0.355697 data_time: 0.033029 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.943397 2023/08/08 19:52:50 - mmengine - INFO - Epoch(train) [169][400/529] lr: 5.000000e-04 eta: 2:11:11 time: 0.354286 data_time: 0.032589 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.854163 2023/08/08 19:52:53 - mmengine - INFO - Epoch(train) [169][410/529] lr: 5.000000e-04 eta: 2:11:07 time: 0.354170 data_time: 0.032141 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.924069 2023/08/08 19:52:57 - mmengine - INFO - Epoch(train) [169][420/529] lr: 5.000000e-04 eta: 2:11:04 time: 0.355110 data_time: 0.032079 memory: 4565 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.938115 2023/08/08 19:53:00 - mmengine - INFO - Epoch(train) [169][430/529] lr: 5.000000e-04 eta: 2:11:00 time: 0.352251 data_time: 0.031992 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.905682 2023/08/08 19:53:04 - mmengine - INFO - Epoch(train) [169][440/529] lr: 5.000000e-04 eta: 2:10:57 time: 0.355453 data_time: 0.032486 memory: 4565 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.917462 2023/08/08 19:53:07 - mmengine - INFO - Epoch(train) [169][450/529] lr: 5.000000e-04 eta: 2:10:53 time: 0.355237 data_time: 0.032536 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.831457 2023/08/08 19:53:11 - mmengine - INFO - Epoch(train) [169][460/529] lr: 5.000000e-04 eta: 2:10:49 time: 0.354367 data_time: 0.032996 memory: 4565 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.924857 2023/08/08 19:53:14 - mmengine - INFO - Epoch(train) [169][470/529] lr: 5.000000e-04 eta: 2:10:46 time: 0.351532 data_time: 0.032783 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.885229 2023/08/08 19:53:18 - mmengine - INFO - Epoch(train) [169][480/529] lr: 5.000000e-04 eta: 2:10:42 time: 0.354916 data_time: 0.036532 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.949249 2023/08/08 19:53:22 - mmengine - INFO - Epoch(train) [169][490/529] lr: 5.000000e-04 eta: 2:10:38 time: 0.353818 data_time: 0.036131 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.906999 2023/08/08 19:53:25 - mmengine - INFO - Epoch(train) [169][500/529] lr: 5.000000e-04 eta: 2:10:35 time: 0.355297 data_time: 0.036252 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.955510 2023/08/08 19:53:29 - mmengine - INFO - Epoch(train) [169][510/529] lr: 5.000000e-04 eta: 2:10:31 time: 0.357631 data_time: 0.036526 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.936148 2023/08/08 19:53:32 - mmengine - INFO - Epoch(train) [169][520/529] lr: 5.000000e-04 eta: 2:10:28 time: 0.358406 data_time: 0.036693 memory: 4565 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.945538 2023/08/08 19:53:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:53:39 - mmengine - INFO - Epoch(train) [170][ 10/529] lr: 5.000000e-04 eta: 2:10:21 time: 0.357037 data_time: 0.036457 memory: 4565 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.910362 2023/08/08 19:53:43 - mmengine - INFO - Epoch(train) [170][ 20/529] lr: 5.000000e-04 eta: 2:10:17 time: 0.359468 data_time: 0.036931 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.905851 2023/08/08 19:53:47 - mmengine - INFO - Epoch(train) [170][ 30/529] lr: 5.000000e-04 eta: 2:10:14 time: 0.362238 data_time: 0.036245 memory: 4565 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.970606 2023/08/08 19:53:50 - mmengine - INFO - Epoch(train) [170][ 40/529] lr: 5.000000e-04 eta: 2:10:10 time: 0.366581 data_time: 0.036600 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.900882 2023/08/08 19:53:54 - mmengine - INFO - Epoch(train) [170][ 50/529] lr: 5.000000e-04 eta: 2:10:06 time: 0.369402 data_time: 0.036928 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.944097 2023/08/08 19:53:57 - mmengine - INFO - Epoch(train) [170][ 60/529] lr: 5.000000e-04 eta: 2:10:03 time: 0.366356 data_time: 0.032807 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.938564 2023/08/08 19:54:01 - mmengine - INFO - Epoch(train) [170][ 70/529] lr: 5.000000e-04 eta: 2:09:59 time: 0.363898 data_time: 0.032098 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.905811 2023/08/08 19:54:05 - mmengine - INFO - Epoch(train) [170][ 80/529] lr: 5.000000e-04 eta: 2:09:56 time: 0.361884 data_time: 0.032287 memory: 4565 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.877323 2023/08/08 19:54:08 - mmengine - INFO - Epoch(train) [170][ 90/529] lr: 5.000000e-04 eta: 2:09:52 time: 0.359026 data_time: 0.031727 memory: 4565 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.944334 2023/08/08 19:54:12 - mmengine - INFO - Epoch(train) [170][100/529] lr: 5.000000e-04 eta: 2:09:48 time: 0.361531 data_time: 0.032894 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.895114 2023/08/08 19:54:16 - mmengine - INFO - Epoch(train) [170][110/529] lr: 5.000000e-04 eta: 2:09:45 time: 0.361032 data_time: 0.033064 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.926058 2023/08/08 19:54:19 - mmengine - INFO - Epoch(train) [170][120/529] lr: 5.000000e-04 eta: 2:09:41 time: 0.361252 data_time: 0.033249 memory: 4565 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.924155 2023/08/08 19:54:23 - mmengine - INFO - Epoch(train) [170][130/529] lr: 5.000000e-04 eta: 2:09:38 time: 0.363017 data_time: 0.033023 memory: 4565 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.925473 2023/08/08 19:54:26 - mmengine - INFO - Epoch(train) [170][140/529] lr: 5.000000e-04 eta: 2:09:34 time: 0.363771 data_time: 0.033172 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.898540 2023/08/08 19:54:30 - mmengine - INFO - Epoch(train) [170][150/529] lr: 5.000000e-04 eta: 2:09:30 time: 0.363373 data_time: 0.032639 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.869496 2023/08/08 19:54:34 - mmengine - INFO - Epoch(train) [170][160/529] lr: 5.000000e-04 eta: 2:09:27 time: 0.364677 data_time: 0.032882 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.885469 2023/08/08 19:54:37 - mmengine - INFO - Epoch(train) [170][170/529] lr: 5.000000e-04 eta: 2:09:23 time: 0.365616 data_time: 0.032729 memory: 4565 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.934791 2023/08/08 19:54:41 - mmengine - INFO - Epoch(train) [170][180/529] lr: 5.000000e-04 eta: 2:09:20 time: 0.361489 data_time: 0.033240 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.911047 2023/08/08 19:54:44 - mmengine - INFO - Epoch(train) [170][190/529] lr: 5.000000e-04 eta: 2:09:16 time: 0.360595 data_time: 0.033488 memory: 4565 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.901708 2023/08/08 19:54:48 - mmengine - INFO - Epoch(train) [170][200/529] lr: 5.000000e-04 eta: 2:09:12 time: 0.361291 data_time: 0.033391 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.932460 2023/08/08 19:54:52 - mmengine - INFO - Epoch(train) [170][210/529] lr: 5.000000e-04 eta: 2:09:09 time: 0.360282 data_time: 0.033691 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.960644 2023/08/08 19:54:55 - mmengine - INFO - Epoch(train) [170][220/529] lr: 5.000000e-04 eta: 2:09:05 time: 0.358899 data_time: 0.034537 memory: 4565 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.850843 2023/08/08 19:54:59 - mmengine - INFO - Epoch(train) [170][230/529] lr: 5.000000e-04 eta: 2:09:02 time: 0.364419 data_time: 0.034528 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.909380 2023/08/08 19:55:03 - mmengine - INFO - Epoch(train) [170][240/529] lr: 5.000000e-04 eta: 2:08:58 time: 0.363189 data_time: 0.034244 memory: 4565 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.936708 2023/08/08 19:55:06 - mmengine - INFO - Epoch(train) [170][250/529] lr: 5.000000e-04 eta: 2:08:54 time: 0.358428 data_time: 0.033901 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.926109 2023/08/08 19:55:10 - mmengine - INFO - Epoch(train) [170][260/529] lr: 5.000000e-04 eta: 2:08:51 time: 0.356065 data_time: 0.033237 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.931862 2023/08/08 19:55:13 - mmengine - INFO - Epoch(train) [170][270/529] lr: 5.000000e-04 eta: 2:08:47 time: 0.355284 data_time: 0.032690 memory: 4565 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.889119 2023/08/08 19:55:17 - mmengine - INFO - Epoch(train) [170][280/529] lr: 5.000000e-04 eta: 2:08:43 time: 0.349702 data_time: 0.033006 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.940084 2023/08/08 19:55:20 - mmengine - INFO - Epoch(train) [170][290/529] lr: 5.000000e-04 eta: 2:08:40 time: 0.351678 data_time: 0.033829 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.926959 2023/08/08 19:55:24 - mmengine - INFO - Epoch(train) [170][300/529] lr: 5.000000e-04 eta: 2:08:36 time: 0.352019 data_time: 0.034018 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.889694 2023/08/08 19:55:27 - mmengine - INFO - Epoch(train) [170][310/529] lr: 5.000000e-04 eta: 2:08:32 time: 0.351908 data_time: 0.034113 memory: 4565 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.902605 2023/08/08 19:55:31 - mmengine - INFO - Epoch(train) [170][320/529] lr: 5.000000e-04 eta: 2:08:29 time: 0.351199 data_time: 0.033980 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.912896 2023/08/08 19:55:34 - mmengine - INFO - Epoch(train) [170][330/529] lr: 5.000000e-04 eta: 2:08:25 time: 0.350624 data_time: 0.033207 memory: 4565 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.915265 2023/08/08 19:55:38 - mmengine - INFO - Epoch(train) [170][340/529] lr: 5.000000e-04 eta: 2:08:22 time: 0.350101 data_time: 0.032446 memory: 4565 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.920521 2023/08/08 19:55:41 - mmengine - INFO - Epoch(train) [170][350/529] lr: 5.000000e-04 eta: 2:08:18 time: 0.350111 data_time: 0.032180 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.891855 2023/08/08 19:55:45 - mmengine - INFO - Epoch(train) [170][360/529] lr: 5.000000e-04 eta: 2:08:14 time: 0.356477 data_time: 0.036593 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.906382 2023/08/08 19:55:49 - mmengine - INFO - Epoch(train) [170][370/529] lr: 5.000000e-04 eta: 2:08:11 time: 0.360623 data_time: 0.037384 memory: 4565 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.877560 2023/08/08 19:55:52 - mmengine - INFO - Epoch(train) [170][380/529] lr: 5.000000e-04 eta: 2:08:07 time: 0.360451 data_time: 0.037863 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.961139 2023/08/08 19:55:56 - mmengine - INFO - Epoch(train) [170][390/529] lr: 5.000000e-04 eta: 2:08:04 time: 0.359236 data_time: 0.038032 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.927690 2023/08/08 19:55:59 - mmengine - INFO - Epoch(train) [170][400/529] lr: 5.000000e-04 eta: 2:08:00 time: 0.361052 data_time: 0.038092 memory: 4565 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.943276 2023/08/08 19:56:03 - mmengine - INFO - Epoch(train) [170][410/529] lr: 5.000000e-04 eta: 2:07:56 time: 0.355611 data_time: 0.033813 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.962818 2023/08/08 19:56:06 - mmengine - INFO - Epoch(train) [170][420/529] lr: 5.000000e-04 eta: 2:07:53 time: 0.353185 data_time: 0.033341 memory: 4565 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.928319 2023/08/08 19:56:10 - mmengine - INFO - Epoch(train) [170][430/529] lr: 5.000000e-04 eta: 2:07:49 time: 0.354786 data_time: 0.032983 memory: 4565 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.940256 2023/08/08 19:56:13 - mmengine - INFO - Epoch(train) [170][440/529] lr: 5.000000e-04 eta: 2:07:45 time: 0.354290 data_time: 0.032873 memory: 4565 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.902851 2023/08/08 19:56:17 - mmengine - INFO - Epoch(train) [170][450/529] lr: 5.000000e-04 eta: 2:07:42 time: 0.352509 data_time: 0.032748 memory: 4565 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.958189 2023/08/08 19:56:21 - mmengine - INFO - Epoch(train) [170][460/529] lr: 5.000000e-04 eta: 2:07:38 time: 0.353143 data_time: 0.032431 memory: 4565 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.918343 2023/08/08 19:56:24 - mmengine - INFO - Epoch(train) [170][470/529] lr: 5.000000e-04 eta: 2:07:35 time: 0.352989 data_time: 0.032171 memory: 4565 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.890027 2023/08/08 19:56:28 - mmengine - INFO - Epoch(train) [170][480/529] lr: 5.000000e-04 eta: 2:07:31 time: 0.352295 data_time: 0.032091 memory: 4565 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.929173 2023/08/08 19:56:31 - mmengine - INFO - Epoch(train) [170][490/529] lr: 5.000000e-04 eta: 2:07:27 time: 0.354993 data_time: 0.032541 memory: 4565 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.953162 2023/08/08 19:56:35 - mmengine - INFO - Epoch(train) [170][500/529] lr: 5.000000e-04 eta: 2:07:24 time: 0.354808 data_time: 0.032758 memory: 4565 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.932829 2023/08/08 19:56:38 - mmengine - INFO - Epoch(train) [170][510/529] lr: 5.000000e-04 eta: 2:07:20 time: 0.353322 data_time: 0.032846 memory: 4565 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.890610 2023/08/08 19:56:42 - mmengine - INFO - Epoch(train) [170][520/529] lr: 5.000000e-04 eta: 2:07:17 time: 0.360461 data_time: 0.032958 memory: 4565 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.887450 2023/08/08 19:56:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:56:46 - mmengine - INFO - Saving checkpoint at 170 epochs 2023/08/08 19:56:52 - mmengine - INFO - Epoch(val) [170][ 10/127] eta: 0:00:24 time: 0.199163 data_time: 0.013461 memory: 4565 2023/08/08 19:56:54 - mmengine - INFO - Epoch(val) [170][ 20/127] eta: 0:00:21 time: 0.199437 data_time: 0.013281 memory: 1634 2023/08/08 19:56:56 - mmengine - INFO - Epoch(val) [170][ 30/127] eta: 0:00:19 time: 0.199177 data_time: 0.013090 memory: 1634 2023/08/08 19:56:57 - mmengine - INFO - Epoch(val) [170][ 40/127] eta: 0:00:17 time: 0.199013 data_time: 0.013051 memory: 1634 2023/08/08 19:56:59 - mmengine - INFO - Epoch(val) [170][ 50/127] eta: 0:00:15 time: 0.200858 data_time: 0.013107 memory: 1634 2023/08/08 19:57:01 - mmengine - INFO - Epoch(val) [170][ 60/127] eta: 0:00:13 time: 0.198337 data_time: 0.011132 memory: 1634 2023/08/08 19:57:03 - mmengine - INFO - Epoch(val) [170][ 70/127] eta: 0:00:11 time: 0.197782 data_time: 0.011135 memory: 1634 2023/08/08 19:57:05 - mmengine - INFO - Epoch(val) [170][ 80/127] eta: 0:00:09 time: 0.197852 data_time: 0.011245 memory: 1634 2023/08/08 19:57:07 - mmengine - INFO - Epoch(val) [170][ 90/127] eta: 0:00:07 time: 0.198446 data_time: 0.011503 memory: 1634 2023/08/08 19:57:09 - mmengine - INFO - Epoch(val) [170][100/127] eta: 0:00:05 time: 0.198753 data_time: 0.011700 memory: 1634 2023/08/08 19:57:12 - mmengine - INFO - Epoch(val) [170][110/127] eta: 0:00:03 time: 0.202417 data_time: 0.015441 memory: 1634 2023/08/08 19:57:14 - mmengine - INFO - Epoch(val) [170][120/127] eta: 0:00:01 time: 0.202510 data_time: 0.015485 memory: 1634 2023/08/08 19:57:15 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 19:57:15 - mmengine - INFO - Evaluating AUC... 2023/08/08 19:57:16 - mmengine - INFO - Evaluating EPE... 2023/08/08 19:57:16 - mmengine - INFO - Epoch(val) [170][127/127] PCK: 0.982333 AUC: 0.673293 EPE: 11.779769 data_time: 0.013632 time: 0.199539 2023/08/08 19:57:19 - mmengine - INFO - Epoch(train) [171][ 10/529] lr: 5.000000e-05 eta: 2:07:10 time: 0.369022 data_time: 0.037220 memory: 4565 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.937969 2023/08/08 19:57:23 - mmengine - INFO - Epoch(train) [171][ 20/529] lr: 5.000000e-05 eta: 2:07:06 time: 0.368411 data_time: 0.037276 memory: 4565 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.957085 2023/08/08 19:57:26 - mmengine - INFO - Epoch(train) [171][ 30/529] lr: 5.000000e-05 eta: 2:07:02 time: 0.368169 data_time: 0.037063 memory: 4565 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.926296 2023/08/08 19:57:30 - mmengine - INFO - Epoch(train) [171][ 40/529] lr: 5.000000e-05 eta: 2:06:59 time: 0.360717 data_time: 0.036643 memory: 4565 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.939629 2023/08/08 19:57:34 - mmengine - INFO - Epoch(train) [171][ 50/529] lr: 5.000000e-05 eta: 2:06:55 time: 0.355487 data_time: 0.036639 memory: 4565 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.959050 2023/08/08 19:57:37 - mmengine - INFO - Epoch(train) [171][ 60/529] lr: 5.000000e-05 eta: 2:06:52 time: 0.352665 data_time: 0.032049 memory: 4565 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.939582 2023/08/08 19:57:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 19:57:41 - mmengine - INFO - Epoch(train) [171][ 70/529] lr: 5.000000e-05 eta: 2:06:48 time: 0.354766 data_time: 0.032047 memory: 4565 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.919563 2023/08/08 19:57:44 - mmengine - INFO - Epoch(train) [171][ 80/529] lr: 5.000000e-05 eta: 2:06:44 time: 0.355213 data_time: 0.032344 memory: 4565 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.883887 2023/08/08 19:57:48 - mmengine - INFO - Epoch(train) [171][ 90/529] lr: 5.000000e-05 eta: 2:06:41 time: 0.354830 data_time: 0.032424 memory: 4565 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.930276 2023/08/08 19:57:51 - mmengine - INFO - Epoch(train) [171][100/529] lr: 5.000000e-05 eta: 2:06:37 time: 0.357361 data_time: 0.032395 memory: 4565 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.976004 2023/08/08 19:57:55 - mmengine - INFO - Epoch(train) [171][110/529] lr: 5.000000e-05 eta: 2:06:34 time: 0.366836 data_time: 0.032576 memory: 4565 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.932926 2023/08/08 19:57:59 - mmengine - INFO - Epoch(train) [171][120/529] lr: 5.000000e-05 eta: 2:06:30 time: 0.366457 data_time: 0.032526 memory: 4565 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.952753 2023/08/08 19:58:03 - mmengine - INFO - Epoch(train) [171][130/529] lr: 5.000000e-05 eta: 2:06:26 time: 0.367669 data_time: 0.032724 memory: 4565 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.957606 2023/08/08 19:58:06 - mmengine - INFO - Epoch(train) [171][140/529] lr: 5.000000e-05 eta: 2:06:23 time: 0.368360 data_time: 0.032892 memory: 4565 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.884925 2023/08/08 19:58:10 - mmengine - INFO - Epoch(train) [171][150/529] lr: 5.000000e-05 eta: 2:06:19 time: 0.367150 data_time: 0.036376 memory: 4565 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.897448 2023/08/08 19:58:13 - mmengine - INFO - Epoch(train) [171][160/529] lr: 5.000000e-05 eta: 2:06:16 time: 0.355251 data_time: 0.036002 memory: 4565 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.915041 2023/08/08 19:58:17 - mmengine - INFO - Epoch(train) [171][170/529] lr: 5.000000e-05 eta: 2:06:12 time: 0.354900 data_time: 0.035873 memory: 4565 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.886250 2023/08/08 19:58:20 - mmengine - INFO - Epoch(train) [171][180/529] lr: 5.000000e-05 eta: 2:06:08 time: 0.354225 data_time: 0.035710 memory: 4565 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.912452 2023/08/08 19:58:24 - mmengine - INFO - Epoch(train) [171][190/529] lr: 5.000000e-05 eta: 2:06:05 time: 0.356849 data_time: 0.035866 memory: 4565 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.931705 2023/08/08 19:58:28 - mmengine - INFO - Epoch(train) [171][200/529] lr: 5.000000e-05 eta: 2:06:01 time: 0.353962 data_time: 0.032224 memory: 4565 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.933681 2023/08/08 19:58:31 - mmengine - INFO - Epoch(train) [171][210/529] lr: 5.000000e-05 eta: 2:05:57 time: 0.354619 data_time: 0.032477 memory: 4565 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.903677 2023/08/08 19:58:35 - mmengine - INFO - Epoch(train) [171][220/529] lr: 5.000000e-05 eta: 2:05:54 time: 0.355104 data_time: 0.032506 memory: 4565 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.920905 2023/08/08 19:58:38 - mmengine - INFO - Epoch(train) [171][230/529] lr: 5.000000e-05 eta: 2:05:50 time: 0.354872 data_time: 0.032653 memory: 4565 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.908011 2023/08/08 19:58:42 - mmengine - INFO - Epoch(train) [171][240/529] lr: 5.000000e-05 eta: 2:05:47 time: 0.352614 data_time: 0.032437 memory: 4565 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.933253 2023/08/08 19:58:45 - mmengine - INFO - Epoch(train) [171][250/529] lr: 5.000000e-05 eta: 2:05:43 time: 0.352501 data_time: 0.032491 memory: 4565 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.927416 2023/08/08 19:58:49 - mmengine - INFO - Epoch(train) [171][260/529] lr: 5.000000e-05 eta: 2:05:39 time: 0.357590 data_time: 0.032306 memory: 4565 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.919229 2023/08/08 19:58:52 - mmengine - INFO - Epoch(train) [171][270/529] lr: 5.000000e-05 eta: 2:05:36 time: 0.355980 data_time: 0.032430 memory: 4565 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.882620 2023/08/08 19:58:56 - mmengine - INFO - Epoch(train) [171][280/529] lr: 5.000000e-05 eta: 2:05:32 time: 0.355835 data_time: 0.032373 memory: 4565 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.923631 2023/08/08 19:58:59 - mmengine - INFO - Epoch(train) [171][290/529] lr: 5.000000e-05 eta: 2:05:28 time: 0.355153 data_time: 0.032291 memory: 4565 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.876797 2023/08/08 19:59:03 - mmengine - INFO - Epoch(train) [171][300/529] lr: 5.000000e-05 eta: 2:05:25 time: 0.356062 data_time: 0.032722 memory: 4565 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.853062 2023/08/08 19:59:07 - mmengine - INFO - Epoch(train) [171][310/529] lr: 5.000000e-05 eta: 2:05:21 time: 0.353252 data_time: 0.032797 memory: 4565 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.903413 2023/08/08 19:59:10 - mmengine - INFO - Epoch(train) [171][320/529] lr: 5.000000e-05 eta: 2:05:18 time: 0.359776 data_time: 0.036820 memory: 4565 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.931045 2023/08/08 19:59:14 - mmengine - INFO - Epoch(train) [171][330/529] lr: 5.000000e-05 eta: 2:05:14 time: 0.369719 data_time: 0.037138 memory: 4565 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.938801 2023/08/08 19:59:18 - mmengine - INFO - Epoch(train) [171][340/529] lr: 5.000000e-05 eta: 2:05:11 time: 0.378748 data_time: 0.037345 memory: 4565 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.886248 2023/08/08 19:59:22 - mmengine - INFO - Epoch(train) [171][350/529] lr: 5.000000e-05 eta: 2:05:07 time: 0.386538 data_time: 0.037445 memory: 4565 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.905262 2023/08/08 19:59:26 - mmengine - INFO - Epoch(train) [171][360/529] lr: 5.000000e-05 eta: 2:05:04 time: 0.388947 data_time: 0.037476 memory: 4565 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.864640 2023/08/08 19:59:30 - mmengine - INFO - Epoch(train) [171][370/529] lr: 5.000000e-05 eta: 2:05:00 time: 0.382423 data_time: 0.033412 memory: 4565 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.893866 2023/08/08 19:59:33 - mmengine - INFO - Epoch(train) [171][380/529] lr: 5.000000e-05 eta: 2:04:56 time: 0.375429 data_time: 0.033215 memory: 4565 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.928401 2023/08/08 19:59:37 - mmengine - INFO - Epoch(train) [171][390/529] lr: 5.000000e-05 eta: 2:04:53 time: 0.367631 data_time: 0.033043 memory: 4565 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.928797 2023/08/08 19:59:40 - mmengine - INFO - Epoch(train) [171][400/529] lr: 5.000000e-05 eta: 2:04:49 time: 0.361440 data_time: 0.032446 memory: 4565 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.859774 2023/08/08 19:59:44 - mmengine - INFO - Epoch(train) [171][410/529] lr: 5.000000e-05 eta: 2:04:45 time: 0.357159 data_time: 0.032122 memory: 4565 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.939978 2023/08/08 19:59:47 - mmengine - INFO - Epoch(train) [171][420/529] lr: 5.000000e-05 eta: 2:04:42 time: 0.358471 data_time: 0.032013 memory: 4565 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.913141 2023/08/08 19:59:51 - mmengine - INFO - Epoch(train) [171][430/529] lr: 5.000000e-05 eta: 2:04:38 time: 0.357255 data_time: 0.031631 memory: 4565 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.917351 2023/08/08 19:59:55 - mmengine - INFO - Epoch(train) [171][440/529] lr: 5.000000e-05 eta: 2:04:35 time: 0.356764 data_time: 0.031901 memory: 4565 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.955685 2023/08/08 19:59:58 - mmengine - INFO - Epoch(train) [171][450/529] lr: 5.000000e-05 eta: 2:04:31 time: 0.355223 data_time: 0.032338 memory: 4565 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.946545 2023/08/08 20:00:02 - mmengine - INFO - Epoch(train) [171][460/529] lr: 5.000000e-05 eta: 2:04:27 time: 0.362044 data_time: 0.034186 memory: 4565 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.929430 2023/08/08 20:00:06 - mmengine - INFO - Epoch(train) [171][470/529] lr: 5.000000e-05 eta: 2:04:24 time: 0.369751 data_time: 0.034508 memory: 4565 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.911677 2023/08/08 20:00:10 - mmengine - INFO - Epoch(train) [171][480/529] lr: 5.000000e-05 eta: 2:04:20 time: 0.372284 data_time: 0.034628 memory: 4565 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.887471 2023/08/08 20:00:13 - mmengine - INFO - Epoch(train) [171][490/529] lr: 5.000000e-05 eta: 2:04:17 time: 0.374517 data_time: 0.034468 memory: 4565 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.941496 2023/08/08 20:00:17 - mmengine - INFO - Epoch(train) [171][500/529] lr: 5.000000e-05 eta: 2:04:13 time: 0.374871 data_time: 0.034166 memory: 4565 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.937270 2023/08/08 20:00:21 - mmengine - INFO - Epoch(train) [171][510/529] lr: 5.000000e-05 eta: 2:04:10 time: 0.373567 data_time: 0.036290 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.941279 2023/08/08 20:00:24 - mmengine - INFO - Epoch(train) [171][520/529] lr: 5.000000e-05 eta: 2:04:06 time: 0.366403 data_time: 0.035945 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.939017 2023/08/08 20:00:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:00:31 - mmengine - INFO - Epoch(train) [172][ 10/529] lr: 5.000000e-05 eta: 2:03:59 time: 0.362847 data_time: 0.039750 memory: 4565 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.941517 2023/08/08 20:00:35 - mmengine - INFO - Epoch(train) [172][ 20/529] lr: 5.000000e-05 eta: 2:03:55 time: 0.364353 data_time: 0.039694 memory: 4565 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.906580 2023/08/08 20:00:38 - mmengine - INFO - Epoch(train) [172][ 30/529] lr: 5.000000e-05 eta: 2:03:52 time: 0.361315 data_time: 0.036253 memory: 4565 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.899800 2023/08/08 20:00:42 - mmengine - INFO - Epoch(train) [172][ 40/529] lr: 5.000000e-05 eta: 2:03:48 time: 0.361608 data_time: 0.036492 memory: 4565 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.950916 2023/08/08 20:00:46 - mmengine - INFO - Epoch(train) [172][ 50/529] lr: 5.000000e-05 eta: 2:03:45 time: 0.361978 data_time: 0.036792 memory: 4565 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.910338 2023/08/08 20:00:49 - mmengine - INFO - Epoch(train) [172][ 60/529] lr: 5.000000e-05 eta: 2:03:41 time: 0.359290 data_time: 0.032670 memory: 4565 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.932933 2023/08/08 20:00:53 - mmengine - INFO - Epoch(train) [172][ 70/529] lr: 5.000000e-05 eta: 2:03:37 time: 0.355974 data_time: 0.032503 memory: 4565 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.927154 2023/08/08 20:00:56 - mmengine - INFO - Epoch(train) [172][ 80/529] lr: 5.000000e-05 eta: 2:03:34 time: 0.356594 data_time: 0.032004 memory: 4565 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.892536 2023/08/08 20:01:00 - mmengine - INFO - Epoch(train) [172][ 90/529] lr: 5.000000e-05 eta: 2:03:30 time: 0.357092 data_time: 0.031839 memory: 4565 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.930245 2023/08/08 20:01:03 - mmengine - INFO - Epoch(train) [172][100/529] lr: 5.000000e-05 eta: 2:03:27 time: 0.357700 data_time: 0.031717 memory: 4565 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.871734 2023/08/08 20:01:07 - mmengine - INFO - Epoch(train) [172][110/529] lr: 5.000000e-05 eta: 2:03:23 time: 0.358538 data_time: 0.031803 memory: 4565 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.900522 2023/08/08 20:01:11 - mmengine - INFO - Epoch(train) [172][120/529] lr: 5.000000e-05 eta: 2:03:19 time: 0.357862 data_time: 0.032102 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.925948 2023/08/08 20:01:14 - mmengine - INFO - Epoch(train) [172][130/529] lr: 5.000000e-05 eta: 2:03:16 time: 0.354426 data_time: 0.032010 memory: 4565 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.918036 2023/08/08 20:01:18 - mmengine - INFO - Epoch(train) [172][140/529] lr: 5.000000e-05 eta: 2:03:12 time: 0.351389 data_time: 0.031880 memory: 4565 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.918662 2023/08/08 20:01:21 - mmengine - INFO - Epoch(train) [172][150/529] lr: 5.000000e-05 eta: 2:03:08 time: 0.351880 data_time: 0.031825 memory: 4565 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.921559 2023/08/08 20:01:25 - mmengine - INFO - Epoch(train) [172][160/529] lr: 5.000000e-05 eta: 2:03:05 time: 0.353272 data_time: 0.031736 memory: 4565 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.970385 2023/08/08 20:01:29 - mmengine - INFO - Epoch(train) [172][170/529] lr: 5.000000e-05 eta: 2:03:01 time: 0.359177 data_time: 0.032095 memory: 4565 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.935634 2023/08/08 20:01:32 - mmengine - INFO - Epoch(train) [172][180/529] lr: 5.000000e-05 eta: 2:02:58 time: 0.366129 data_time: 0.032665 memory: 4565 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.933131 2023/08/08 20:01:36 - mmengine - INFO - Epoch(train) [172][190/529] lr: 5.000000e-05 eta: 2:02:54 time: 0.370369 data_time: 0.033867 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.938080 2023/08/08 20:01:40 - mmengine - INFO - Epoch(train) [172][200/529] lr: 5.000000e-05 eta: 2:02:50 time: 0.370379 data_time: 0.033877 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.958171 2023/08/08 20:01:43 - mmengine - INFO - Epoch(train) [172][210/529] lr: 5.000000e-05 eta: 2:02:47 time: 0.368723 data_time: 0.034063 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.886658 2023/08/08 20:01:47 - mmengine - INFO - Epoch(train) [172][220/529] lr: 5.000000e-05 eta: 2:02:43 time: 0.363058 data_time: 0.033430 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.946300 2023/08/08 20:01:50 - mmengine - INFO - Epoch(train) [172][230/529] lr: 5.000000e-05 eta: 2:02:40 time: 0.358321 data_time: 0.033354 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.881027 2023/08/08 20:01:54 - mmengine - INFO - Epoch(train) [172][240/529] lr: 5.000000e-05 eta: 2:02:36 time: 0.356665 data_time: 0.032344 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.931034 2023/08/08 20:01:57 - mmengine - INFO - Epoch(train) [172][250/529] lr: 5.000000e-05 eta: 2:02:32 time: 0.356442 data_time: 0.032613 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.944453 2023/08/08 20:02:01 - mmengine - INFO - Epoch(train) [172][260/529] lr: 5.000000e-05 eta: 2:02:29 time: 0.354061 data_time: 0.032434 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.914370 2023/08/08 20:02:05 - mmengine - INFO - Epoch(train) [172][270/529] lr: 5.000000e-05 eta: 2:02:25 time: 0.355952 data_time: 0.033043 memory: 4565 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.909974 2023/08/08 20:02:08 - mmengine - INFO - Epoch(train) [172][280/529] lr: 5.000000e-05 eta: 2:02:22 time: 0.357686 data_time: 0.032848 memory: 4565 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.913129 2023/08/08 20:02:12 - mmengine - INFO - Epoch(train) [172][290/529] lr: 5.000000e-05 eta: 2:02:18 time: 0.358658 data_time: 0.033231 memory: 4565 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.936408 2023/08/08 20:02:16 - mmengine - INFO - Epoch(train) [172][300/529] lr: 5.000000e-05 eta: 2:02:14 time: 0.360680 data_time: 0.033383 memory: 4565 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.909441 2023/08/08 20:02:19 - mmengine - INFO - Epoch(train) [172][310/529] lr: 5.000000e-05 eta: 2:02:11 time: 0.365468 data_time: 0.033289 memory: 4565 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.926164 2023/08/08 20:02:23 - mmengine - INFO - Epoch(train) [172][320/529] lr: 5.000000e-05 eta: 2:02:07 time: 0.364918 data_time: 0.032714 memory: 4565 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.922459 2023/08/08 20:02:26 - mmengine - INFO - Epoch(train) [172][330/529] lr: 5.000000e-05 eta: 2:02:04 time: 0.362602 data_time: 0.032723 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.916783 2023/08/08 20:02:30 - mmengine - INFO - Epoch(train) [172][340/529] lr: 5.000000e-05 eta: 2:02:00 time: 0.361120 data_time: 0.032393 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.926912 2023/08/08 20:02:34 - mmengine - INFO - Epoch(train) [172][350/529] lr: 5.000000e-05 eta: 2:01:56 time: 0.362843 data_time: 0.035590 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.928655 2023/08/08 20:02:37 - mmengine - INFO - Epoch(train) [172][360/529] lr: 5.000000e-05 eta: 2:01:53 time: 0.362460 data_time: 0.036303 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.915462 2023/08/08 20:02:41 - mmengine - INFO - Epoch(train) [172][370/529] lr: 5.000000e-05 eta: 2:01:49 time: 0.363456 data_time: 0.036663 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.925714 2023/08/08 20:02:45 - mmengine - INFO - Epoch(train) [172][380/529] lr: 5.000000e-05 eta: 2:01:45 time: 0.363144 data_time: 0.036564 memory: 4565 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.909710 2023/08/08 20:02:48 - mmengine - INFO - Epoch(train) [172][390/529] lr: 5.000000e-05 eta: 2:01:42 time: 0.362720 data_time: 0.036401 memory: 4565 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.927722 2023/08/08 20:02:52 - mmengine - INFO - Epoch(train) [172][400/529] lr: 5.000000e-05 eta: 2:01:38 time: 0.359962 data_time: 0.032914 memory: 4565 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.926784 2023/08/08 20:02:55 - mmengine - INFO - Epoch(train) [172][410/529] lr: 5.000000e-05 eta: 2:01:35 time: 0.358735 data_time: 0.032471 memory: 4565 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.912116 2023/08/08 20:02:59 - mmengine - INFO - Epoch(train) [172][420/529] lr: 5.000000e-05 eta: 2:01:31 time: 0.360342 data_time: 0.032907 memory: 4565 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.960565 2023/08/08 20:03:03 - mmengine - INFO - Epoch(train) [172][430/529] lr: 5.000000e-05 eta: 2:01:27 time: 0.362618 data_time: 0.033290 memory: 4565 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.921615 2023/08/08 20:03:06 - mmengine - INFO - Epoch(train) [172][440/529] lr: 5.000000e-05 eta: 2:01:24 time: 0.363785 data_time: 0.033341 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.970004 2023/08/08 20:03:10 - mmengine - INFO - Epoch(train) [172][450/529] lr: 5.000000e-05 eta: 2:01:20 time: 0.370726 data_time: 0.033464 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.925388 2023/08/08 20:03:14 - mmengine - INFO - Epoch(train) [172][460/529] lr: 5.000000e-05 eta: 2:01:17 time: 0.377394 data_time: 0.033584 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.878309 2023/08/08 20:03:18 - mmengine - INFO - Epoch(train) [172][470/529] lr: 5.000000e-05 eta: 2:01:13 time: 0.377530 data_time: 0.033504 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.931836 2023/08/08 20:03:22 - mmengine - INFO - Epoch(train) [172][480/529] lr: 5.000000e-05 eta: 2:01:10 time: 0.377248 data_time: 0.033457 memory: 4565 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.886111 2023/08/08 20:03:25 - mmengine - INFO - Epoch(train) [172][490/529] lr: 5.000000e-05 eta: 2:01:06 time: 0.377215 data_time: 0.033659 memory: 4565 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.884006 2023/08/08 20:03:29 - mmengine - INFO - Epoch(train) [172][500/529] lr: 5.000000e-05 eta: 2:01:02 time: 0.369220 data_time: 0.033396 memory: 4565 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.963346 2023/08/08 20:03:32 - mmengine - INFO - Epoch(train) [172][510/529] lr: 5.000000e-05 eta: 2:00:59 time: 0.360967 data_time: 0.033149 memory: 4565 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.918406 2023/08/08 20:03:36 - mmengine - INFO - Epoch(train) [172][520/529] lr: 5.000000e-05 eta: 2:00:55 time: 0.358500 data_time: 0.032380 memory: 4565 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.907242 2023/08/08 20:03:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:03:43 - mmengine - INFO - Epoch(train) [173][ 10/529] lr: 5.000000e-05 eta: 2:00:48 time: 0.359035 data_time: 0.036208 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.919904 2023/08/08 20:03:44 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:03:46 - mmengine - INFO - Epoch(train) [173][ 20/529] lr: 5.000000e-05 eta: 2:00:45 time: 0.360631 data_time: 0.036375 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.900104 2023/08/08 20:03:50 - mmengine - INFO - Epoch(train) [173][ 30/529] lr: 5.000000e-05 eta: 2:00:41 time: 0.359219 data_time: 0.036352 memory: 4565 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.938442 2023/08/08 20:03:53 - mmengine - INFO - Epoch(train) [173][ 40/529] lr: 5.000000e-05 eta: 2:00:37 time: 0.356988 data_time: 0.036377 memory: 4565 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.916710 2023/08/08 20:03:57 - mmengine - INFO - Epoch(train) [173][ 50/529] lr: 5.000000e-05 eta: 2:00:34 time: 0.355128 data_time: 0.036296 memory: 4565 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.895278 2023/08/08 20:04:01 - mmengine - INFO - Epoch(train) [173][ 60/529] lr: 5.000000e-05 eta: 2:00:30 time: 0.354117 data_time: 0.036348 memory: 4565 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.865980 2023/08/08 20:04:04 - mmengine - INFO - Epoch(train) [173][ 70/529] lr: 5.000000e-05 eta: 2:00:27 time: 0.353028 data_time: 0.036622 memory: 4565 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.921326 2023/08/08 20:04:08 - mmengine - INFO - Epoch(train) [173][ 80/529] lr: 5.000000e-05 eta: 2:00:23 time: 0.359107 data_time: 0.036739 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.946081 2023/08/08 20:04:11 - mmengine - INFO - Epoch(train) [173][ 90/529] lr: 5.000000e-05 eta: 2:00:19 time: 0.361406 data_time: 0.036839 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.888313 2023/08/08 20:04:15 - mmengine - INFO - Epoch(train) [173][100/529] lr: 5.000000e-05 eta: 2:00:16 time: 0.362425 data_time: 0.036829 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.888623 2023/08/08 20:04:18 - mmengine - INFO - Epoch(train) [173][110/529] lr: 5.000000e-05 eta: 2:00:12 time: 0.358163 data_time: 0.032530 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.941373 2023/08/08 20:04:22 - mmengine - INFO - Epoch(train) [173][120/529] lr: 5.000000e-05 eta: 2:00:09 time: 0.357698 data_time: 0.032112 memory: 4565 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.907532 2023/08/08 20:04:26 - mmengine - INFO - Epoch(train) [173][130/529] lr: 5.000000e-05 eta: 2:00:05 time: 0.353131 data_time: 0.032293 memory: 4565 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.935310 2023/08/08 20:04:29 - mmengine - INFO - Epoch(train) [173][140/529] lr: 5.000000e-05 eta: 2:00:01 time: 0.351443 data_time: 0.032090 memory: 4565 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.907776 2023/08/08 20:04:33 - mmengine - INFO - Epoch(train) [173][150/529] lr: 5.000000e-05 eta: 1:59:58 time: 0.353227 data_time: 0.032290 memory: 4565 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.956905 2023/08/08 20:04:36 - mmengine - INFO - Epoch(train) [173][160/529] lr: 5.000000e-05 eta: 1:59:54 time: 0.353650 data_time: 0.032203 memory: 4565 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.938318 2023/08/08 20:04:40 - mmengine - INFO - Epoch(train) [173][170/529] lr: 5.000000e-05 eta: 1:59:50 time: 0.353037 data_time: 0.032105 memory: 4565 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.921098 2023/08/08 20:04:43 - mmengine - INFO - Epoch(train) [173][180/529] lr: 5.000000e-05 eta: 1:59:47 time: 0.351250 data_time: 0.031580 memory: 4565 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.940753 2023/08/08 20:04:47 - mmengine - INFO - Epoch(train) [173][190/529] lr: 5.000000e-05 eta: 1:59:43 time: 0.354387 data_time: 0.031711 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.941344 2023/08/08 20:04:51 - mmengine - INFO - Epoch(train) [173][200/529] lr: 5.000000e-05 eta: 1:59:40 time: 0.357615 data_time: 0.031643 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.944598 2023/08/08 20:04:54 - mmengine - INFO - Epoch(train) [173][210/529] lr: 5.000000e-05 eta: 1:59:36 time: 0.360222 data_time: 0.031801 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.914136 2023/08/08 20:04:58 - mmengine - INFO - Epoch(train) [173][220/529] lr: 5.000000e-05 eta: 1:59:32 time: 0.362516 data_time: 0.032049 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.916723 2023/08/08 20:05:01 - mmengine - INFO - Epoch(train) [173][230/529] lr: 5.000000e-05 eta: 1:59:29 time: 0.366783 data_time: 0.036017 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.906397 2023/08/08 20:05:05 - mmengine - INFO - Epoch(train) [173][240/529] lr: 5.000000e-05 eta: 1:59:25 time: 0.363840 data_time: 0.036118 memory: 4565 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.921900 2023/08/08 20:05:09 - mmengine - INFO - Epoch(train) [173][250/529] lr: 5.000000e-05 eta: 1:59:22 time: 0.359158 data_time: 0.035891 memory: 4565 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.934852 2023/08/08 20:05:12 - mmengine - INFO - Epoch(train) [173][260/529] lr: 5.000000e-05 eta: 1:59:18 time: 0.357028 data_time: 0.035939 memory: 4565 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.914272 2023/08/08 20:05:16 - mmengine - INFO - Epoch(train) [173][270/529] lr: 5.000000e-05 eta: 1:59:14 time: 0.355983 data_time: 0.035980 memory: 4565 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.940342 2023/08/08 20:05:19 - mmengine - INFO - Epoch(train) [173][280/529] lr: 5.000000e-05 eta: 1:59:11 time: 0.354914 data_time: 0.033841 memory: 4565 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.896087 2023/08/08 20:05:23 - mmengine - INFO - Epoch(train) [173][290/529] lr: 5.000000e-05 eta: 1:59:07 time: 0.356481 data_time: 0.033993 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.954799 2023/08/08 20:05:26 - mmengine - INFO - Epoch(train) [173][300/529] lr: 5.000000e-05 eta: 1:59:03 time: 0.357509 data_time: 0.034249 memory: 4565 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.918518 2023/08/08 20:05:30 - mmengine - INFO - Epoch(train) [173][310/529] lr: 5.000000e-05 eta: 1:59:00 time: 0.358527 data_time: 0.034044 memory: 4565 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.933993 2023/08/08 20:05:34 - mmengine - INFO - Epoch(train) [173][320/529] lr: 5.000000e-05 eta: 1:58:56 time: 0.359455 data_time: 0.034267 memory: 4565 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.924784 2023/08/08 20:05:37 - mmengine - INFO - Epoch(train) [173][330/529] lr: 5.000000e-05 eta: 1:58:53 time: 0.360001 data_time: 0.032764 memory: 4565 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.936593 2023/08/08 20:05:41 - mmengine - INFO - Epoch(train) [173][340/529] lr: 5.000000e-05 eta: 1:58:49 time: 0.362381 data_time: 0.032845 memory: 4565 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.913735 2023/08/08 20:05:45 - mmengine - INFO - Epoch(train) [173][350/529] lr: 5.000000e-05 eta: 1:58:45 time: 0.362579 data_time: 0.032656 memory: 4565 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.920927 2023/08/08 20:05:48 - mmengine - INFO - Epoch(train) [173][360/529] lr: 5.000000e-05 eta: 1:58:42 time: 0.361794 data_time: 0.032668 memory: 4565 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.928982 2023/08/08 20:05:52 - mmengine - INFO - Epoch(train) [173][370/529] lr: 5.000000e-05 eta: 1:58:38 time: 0.363856 data_time: 0.032365 memory: 4565 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.902609 2023/08/08 20:05:55 - mmengine - INFO - Epoch(train) [173][380/529] lr: 5.000000e-05 eta: 1:58:35 time: 0.364302 data_time: 0.032571 memory: 4565 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.916818 2023/08/08 20:05:59 - mmengine - INFO - Epoch(train) [173][390/529] lr: 5.000000e-05 eta: 1:58:31 time: 0.363745 data_time: 0.032574 memory: 4565 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.938605 2023/08/08 20:06:03 - mmengine - INFO - Epoch(train) [173][400/529] lr: 5.000000e-05 eta: 1:58:27 time: 0.365700 data_time: 0.032675 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.907763 2023/08/08 20:06:06 - mmengine - INFO - Epoch(train) [173][410/529] lr: 5.000000e-05 eta: 1:58:24 time: 0.366903 data_time: 0.033434 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.888411 2023/08/08 20:06:10 - mmengine - INFO - Epoch(train) [173][420/529] lr: 5.000000e-05 eta: 1:58:20 time: 0.363693 data_time: 0.033419 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.878657 2023/08/08 20:06:14 - mmengine - INFO - Epoch(train) [173][430/529] lr: 5.000000e-05 eta: 1:58:17 time: 0.362003 data_time: 0.033124 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.921518 2023/08/08 20:06:17 - mmengine - INFO - Epoch(train) [173][440/529] lr: 5.000000e-05 eta: 1:58:13 time: 0.359939 data_time: 0.032770 memory: 4565 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.938827 2023/08/08 20:06:21 - mmengine - INFO - Epoch(train) [173][450/529] lr: 5.000000e-05 eta: 1:58:09 time: 0.358489 data_time: 0.032647 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.961514 2023/08/08 20:06:25 - mmengine - INFO - Epoch(train) [173][460/529] lr: 5.000000e-05 eta: 1:58:06 time: 0.361168 data_time: 0.035643 memory: 4565 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.932959 2023/08/08 20:06:28 - mmengine - INFO - Epoch(train) [173][470/529] lr: 5.000000e-05 eta: 1:58:02 time: 0.362219 data_time: 0.035691 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.924063 2023/08/08 20:06:32 - mmengine - INFO - Epoch(train) [173][480/529] lr: 5.000000e-05 eta: 1:57:59 time: 0.361104 data_time: 0.035708 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.921679 2023/08/08 20:06:35 - mmengine - INFO - Epoch(train) [173][490/529] lr: 5.000000e-05 eta: 1:57:55 time: 0.361947 data_time: 0.035731 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.957992 2023/08/08 20:06:39 - mmengine - INFO - Epoch(train) [173][500/529] lr: 5.000000e-05 eta: 1:57:51 time: 0.361931 data_time: 0.035775 memory: 4565 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.933715 2023/08/08 20:06:43 - mmengine - INFO - Epoch(train) [173][510/529] lr: 5.000000e-05 eta: 1:57:48 time: 0.360787 data_time: 0.032558 memory: 4565 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.916028 2023/08/08 20:06:46 - mmengine - INFO - Epoch(train) [173][520/529] lr: 5.000000e-05 eta: 1:57:44 time: 0.364613 data_time: 0.032820 memory: 4565 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.880705 2023/08/08 20:06:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:06:53 - mmengine - INFO - Epoch(train) [174][ 10/529] lr: 5.000000e-05 eta: 1:57:37 time: 0.367792 data_time: 0.037254 memory: 4565 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.952055 2023/08/08 20:06:57 - mmengine - INFO - Epoch(train) [174][ 20/529] lr: 5.000000e-05 eta: 1:57:34 time: 0.365603 data_time: 0.037313 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.944983 2023/08/08 20:07:00 - mmengine - INFO - Epoch(train) [174][ 30/529] lr: 5.000000e-05 eta: 1:57:30 time: 0.361319 data_time: 0.037014 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.945524 2023/08/08 20:07:04 - mmengine - INFO - Epoch(train) [174][ 40/529] lr: 5.000000e-05 eta: 1:57:26 time: 0.355255 data_time: 0.036388 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.904641 2023/08/08 20:07:07 - mmengine - INFO - Epoch(train) [174][ 50/529] lr: 5.000000e-05 eta: 1:57:23 time: 0.353444 data_time: 0.036665 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.958658 2023/08/08 20:07:11 - mmengine - INFO - Epoch(train) [174][ 60/529] lr: 5.000000e-05 eta: 1:57:19 time: 0.350040 data_time: 0.032654 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.900971 2023/08/08 20:07:14 - mmengine - INFO - Epoch(train) [174][ 70/529] lr: 5.000000e-05 eta: 1:57:16 time: 0.351266 data_time: 0.032580 memory: 4565 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.979524 2023/08/08 20:07:18 - mmengine - INFO - Epoch(train) [174][ 80/529] lr: 5.000000e-05 eta: 1:57:12 time: 0.352943 data_time: 0.032381 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.928551 2023/08/08 20:07:22 - mmengine - INFO - Epoch(train) [174][ 90/529] lr: 5.000000e-05 eta: 1:57:08 time: 0.353709 data_time: 0.032188 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.949275 2023/08/08 20:07:25 - mmengine - INFO - Epoch(train) [174][100/529] lr: 5.000000e-05 eta: 1:57:05 time: 0.355401 data_time: 0.031839 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.942196 2023/08/08 20:07:29 - mmengine - INFO - Epoch(train) [174][110/529] lr: 5.000000e-05 eta: 1:57:01 time: 0.357549 data_time: 0.031444 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.944934 2023/08/08 20:07:32 - mmengine - INFO - Epoch(train) [174][120/529] lr: 5.000000e-05 eta: 1:56:58 time: 0.358541 data_time: 0.031403 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.932726 2023/08/08 20:07:36 - mmengine - INFO - Epoch(train) [174][130/529] lr: 5.000000e-05 eta: 1:56:54 time: 0.360310 data_time: 0.031664 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.931288 2023/08/08 20:07:40 - mmengine - INFO - Epoch(train) [174][140/529] lr: 5.000000e-05 eta: 1:56:50 time: 0.364649 data_time: 0.035375 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.934416 2023/08/08 20:07:43 - mmengine - INFO - Epoch(train) [174][150/529] lr: 5.000000e-05 eta: 1:56:47 time: 0.364616 data_time: 0.035319 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.937151 2023/08/08 20:07:47 - mmengine - INFO - Epoch(train) [174][160/529] lr: 5.000000e-05 eta: 1:56:43 time: 0.366544 data_time: 0.035260 memory: 4565 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.939634 2023/08/08 20:07:51 - mmengine - INFO - Epoch(train) [174][170/529] lr: 5.000000e-05 eta: 1:56:40 time: 0.368882 data_time: 0.035784 memory: 4565 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.942315 2023/08/08 20:07:54 - mmengine - INFO - Epoch(train) [174][180/529] lr: 5.000000e-05 eta: 1:56:36 time: 0.368063 data_time: 0.035644 memory: 4565 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.929452 2023/08/08 20:07:58 - mmengine - INFO - Epoch(train) [174][190/529] lr: 5.000000e-05 eta: 1:56:32 time: 0.366298 data_time: 0.032371 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.949451 2023/08/08 20:08:02 - mmengine - INFO - Epoch(train) [174][200/529] lr: 5.000000e-05 eta: 1:56:29 time: 0.366178 data_time: 0.032257 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.929212 2023/08/08 20:08:05 - mmengine - INFO - Epoch(train) [174][210/529] lr: 5.000000e-05 eta: 1:56:25 time: 0.362425 data_time: 0.032334 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.947456 2023/08/08 20:08:09 - mmengine - INFO - Epoch(train) [174][220/529] lr: 5.000000e-05 eta: 1:56:22 time: 0.359613 data_time: 0.031931 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.962054 2023/08/08 20:08:12 - mmengine - INFO - Epoch(train) [174][230/529] lr: 5.000000e-05 eta: 1:56:18 time: 0.359367 data_time: 0.031879 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.956519 2023/08/08 20:08:16 - mmengine - INFO - Epoch(train) [174][240/529] lr: 5.000000e-05 eta: 1:56:14 time: 0.357566 data_time: 0.031604 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.930500 2023/08/08 20:08:20 - mmengine - INFO - Epoch(train) [174][250/529] lr: 5.000000e-05 eta: 1:56:11 time: 0.360068 data_time: 0.031976 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.954305 2023/08/08 20:08:23 - mmengine - INFO - Epoch(train) [174][260/529] lr: 5.000000e-05 eta: 1:56:07 time: 0.361200 data_time: 0.032126 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.901474 2023/08/08 20:08:27 - mmengine - INFO - Epoch(train) [174][270/529] lr: 5.000000e-05 eta: 1:56:03 time: 0.361325 data_time: 0.031893 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.948211 2023/08/08 20:08:31 - mmengine - INFO - Epoch(train) [174][280/529] lr: 5.000000e-05 eta: 1:56:00 time: 0.361329 data_time: 0.031871 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.861505 2023/08/08 20:08:34 - mmengine - INFO - Epoch(train) [174][290/529] lr: 5.000000e-05 eta: 1:55:56 time: 0.362667 data_time: 0.031961 memory: 4565 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.867634 2023/08/08 20:08:38 - mmengine - INFO - Epoch(train) [174][300/529] lr: 5.000000e-05 eta: 1:55:53 time: 0.365147 data_time: 0.031966 memory: 4565 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.925928 2023/08/08 20:08:42 - mmengine - INFO - Epoch(train) [174][310/529] lr: 5.000000e-05 eta: 1:55:49 time: 0.365657 data_time: 0.031922 memory: 4565 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.909049 2023/08/08 20:08:45 - mmengine - INFO - Epoch(train) [174][320/529] lr: 5.000000e-05 eta: 1:55:46 time: 0.367309 data_time: 0.032197 memory: 4565 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.917606 2023/08/08 20:08:49 - mmengine - INFO - Epoch(train) [174][330/529] lr: 5.000000e-05 eta: 1:55:42 time: 0.369279 data_time: 0.032839 memory: 4565 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.927405 2023/08/08 20:08:52 - mmengine - INFO - Epoch(train) [174][340/529] lr: 5.000000e-05 eta: 1:55:38 time: 0.365592 data_time: 0.032715 memory: 4565 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.937603 2023/08/08 20:08:56 - mmengine - INFO - Epoch(train) [174][350/529] lr: 5.000000e-05 eta: 1:55:35 time: 0.359409 data_time: 0.032379 memory: 4565 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.915691 2023/08/08 20:09:00 - mmengine - INFO - Epoch(train) [174][360/529] lr: 5.000000e-05 eta: 1:55:31 time: 0.357595 data_time: 0.032416 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.946584 2023/08/08 20:09:03 - mmengine - INFO - Epoch(train) [174][370/529] lr: 5.000000e-05 eta: 1:55:27 time: 0.356969 data_time: 0.032288 memory: 4565 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.915990 2023/08/08 20:09:07 - mmengine - INFO - Epoch(train) [174][380/529] lr: 5.000000e-05 eta: 1:55:24 time: 0.357037 data_time: 0.032039 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.923630 2023/08/08 20:09:10 - mmengine - INFO - Epoch(train) [174][390/529] lr: 5.000000e-05 eta: 1:55:20 time: 0.357683 data_time: 0.031973 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.897495 2023/08/08 20:09:14 - mmengine - INFO - Epoch(train) [174][400/529] lr: 5.000000e-05 eta: 1:55:17 time: 0.357447 data_time: 0.032032 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.878848 2023/08/08 20:09:17 - mmengine - INFO - Epoch(train) [174][410/529] lr: 5.000000e-05 eta: 1:55:13 time: 0.356635 data_time: 0.031975 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.914990 2023/08/08 20:09:21 - mmengine - INFO - Epoch(train) [174][420/529] lr: 5.000000e-05 eta: 1:55:09 time: 0.354376 data_time: 0.032022 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.903942 2023/08/08 20:09:24 - mmengine - INFO - Epoch(train) [174][430/529] lr: 5.000000e-05 eta: 1:55:06 time: 0.350984 data_time: 0.031893 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.939901 2023/08/08 20:09:28 - mmengine - INFO - Epoch(train) [174][440/529] lr: 5.000000e-05 eta: 1:55:02 time: 0.355574 data_time: 0.032185 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.953124 2023/08/08 20:09:32 - mmengine - INFO - Epoch(train) [174][450/529] lr: 5.000000e-05 eta: 1:54:59 time: 0.356839 data_time: 0.032326 memory: 4565 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.927155 2023/08/08 20:09:35 - mmengine - INFO - Epoch(train) [174][460/529] lr: 5.000000e-05 eta: 1:54:55 time: 0.357444 data_time: 0.032343 memory: 4565 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.932309 2023/08/08 20:09:39 - mmengine - INFO - Epoch(train) [174][470/529] lr: 5.000000e-05 eta: 1:54:51 time: 0.356639 data_time: 0.032504 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.944769 2023/08/08 20:09:42 - mmengine - INFO - Epoch(train) [174][480/529] lr: 5.000000e-05 eta: 1:54:48 time: 0.355738 data_time: 0.032328 memory: 4565 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.906213 2023/08/08 20:09:43 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:09:46 - mmengine - INFO - Epoch(train) [174][490/529] lr: 5.000000e-05 eta: 1:54:44 time: 0.355698 data_time: 0.032369 memory: 4565 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.935998 2023/08/08 20:09:50 - mmengine - INFO - Epoch(train) [174][500/529] lr: 5.000000e-05 eta: 1:54:40 time: 0.360841 data_time: 0.032720 memory: 4565 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.938285 2023/08/08 20:09:54 - mmengine - INFO - Epoch(train) [174][510/529] lr: 5.000000e-05 eta: 1:54:37 time: 0.367959 data_time: 0.033192 memory: 4565 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.933134 2023/08/08 20:09:57 - mmengine - INFO - Epoch(train) [174][520/529] lr: 5.000000e-05 eta: 1:54:33 time: 0.367878 data_time: 0.033019 memory: 4565 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.908485 2023/08/08 20:10:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:10:04 - mmengine - INFO - Epoch(train) [175][ 10/529] lr: 5.000000e-05 eta: 1:54:26 time: 0.366430 data_time: 0.036661 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.940120 2023/08/08 20:10:08 - mmengine - INFO - Epoch(train) [175][ 20/529] lr: 5.000000e-05 eta: 1:54:23 time: 0.362702 data_time: 0.036521 memory: 4565 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.950611 2023/08/08 20:10:11 - mmengine - INFO - Epoch(train) [175][ 30/529] lr: 5.000000e-05 eta: 1:54:19 time: 0.356159 data_time: 0.036194 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.928923 2023/08/08 20:10:15 - mmengine - INFO - Epoch(train) [175][ 40/529] lr: 5.000000e-05 eta: 1:54:16 time: 0.358121 data_time: 0.036577 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.912413 2023/08/08 20:10:18 - mmengine - INFO - Epoch(train) [175][ 50/529] lr: 5.000000e-05 eta: 1:54:12 time: 0.360308 data_time: 0.037664 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.934902 2023/08/08 20:10:22 - mmengine - INFO - Epoch(train) [175][ 60/529] lr: 5.000000e-05 eta: 1:54:08 time: 0.356206 data_time: 0.034165 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.936249 2023/08/08 20:10:25 - mmengine - INFO - Epoch(train) [175][ 70/529] lr: 5.000000e-05 eta: 1:54:05 time: 0.352025 data_time: 0.034546 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.948245 2023/08/08 20:10:29 - mmengine - INFO - Epoch(train) [175][ 80/529] lr: 5.000000e-05 eta: 1:54:01 time: 0.351516 data_time: 0.034951 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.950924 2023/08/08 20:10:32 - mmengine - INFO - Epoch(train) [175][ 90/529] lr: 5.000000e-05 eta: 1:53:57 time: 0.350638 data_time: 0.035770 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.863673 2023/08/08 20:10:36 - mmengine - INFO - Epoch(train) [175][100/529] lr: 5.000000e-05 eta: 1:53:54 time: 0.354518 data_time: 0.036759 memory: 4565 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.891225 2023/08/08 20:10:40 - mmengine - INFO - Epoch(train) [175][110/529] lr: 5.000000e-05 eta: 1:53:50 time: 0.355446 data_time: 0.036563 memory: 4565 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.935997 2023/08/08 20:10:43 - mmengine - INFO - Epoch(train) [175][120/529] lr: 5.000000e-05 eta: 1:53:47 time: 0.355680 data_time: 0.036059 memory: 4565 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.894414 2023/08/08 20:10:46 - mmengine - INFO - Epoch(train) [175][130/529] lr: 5.000000e-05 eta: 1:53:43 time: 0.355020 data_time: 0.035422 memory: 4565 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.891292 2023/08/08 20:10:50 - mmengine - INFO - Epoch(train) [175][140/529] lr: 5.000000e-05 eta: 1:53:39 time: 0.356129 data_time: 0.034054 memory: 4565 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.927710 2023/08/08 20:10:54 - mmengine - INFO - Epoch(train) [175][150/529] lr: 5.000000e-05 eta: 1:53:36 time: 0.353452 data_time: 0.032806 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.913584 2023/08/08 20:10:57 - mmengine - INFO - Epoch(train) [175][160/529] lr: 5.000000e-05 eta: 1:53:32 time: 0.353146 data_time: 0.032324 memory: 4565 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.910767 2023/08/08 20:11:01 - mmengine - INFO - Epoch(train) [175][170/529] lr: 5.000000e-05 eta: 1:53:29 time: 0.355011 data_time: 0.032462 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.935222 2023/08/08 20:11:04 - mmengine - INFO - Epoch(train) [175][180/529] lr: 5.000000e-05 eta: 1:53:25 time: 0.355276 data_time: 0.032513 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.936986 2023/08/08 20:11:08 - mmengine - INFO - Epoch(train) [175][190/529] lr: 5.000000e-05 eta: 1:53:21 time: 0.352117 data_time: 0.032880 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.917405 2023/08/08 20:11:11 - mmengine - INFO - Epoch(train) [175][200/529] lr: 5.000000e-05 eta: 1:53:18 time: 0.349963 data_time: 0.032402 memory: 4565 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.897632 2023/08/08 20:11:15 - mmengine - INFO - Epoch(train) [175][210/529] lr: 5.000000e-05 eta: 1:53:14 time: 0.349446 data_time: 0.032570 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.941728 2023/08/08 20:11:18 - mmengine - INFO - Epoch(train) [175][220/529] lr: 5.000000e-05 eta: 1:53:10 time: 0.350227 data_time: 0.032575 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.952446 2023/08/08 20:11:22 - mmengine - INFO - Epoch(train) [175][230/529] lr: 5.000000e-05 eta: 1:53:07 time: 0.351454 data_time: 0.032842 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.932333 2023/08/08 20:11:25 - mmengine - INFO - Epoch(train) [175][240/529] lr: 5.000000e-05 eta: 1:53:03 time: 0.354242 data_time: 0.032737 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.925477 2023/08/08 20:11:29 - mmengine - INFO - Epoch(train) [175][250/529] lr: 5.000000e-05 eta: 1:52:59 time: 0.353998 data_time: 0.032685 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.915402 2023/08/08 20:11:32 - mmengine - INFO - Epoch(train) [175][260/529] lr: 5.000000e-05 eta: 1:52:56 time: 0.353044 data_time: 0.032388 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.975839 2023/08/08 20:11:36 - mmengine - INFO - Epoch(train) [175][270/529] lr: 5.000000e-05 eta: 1:52:52 time: 0.353250 data_time: 0.032102 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.951704 2023/08/08 20:11:40 - mmengine - INFO - Epoch(train) [175][280/529] lr: 5.000000e-05 eta: 1:52:49 time: 0.353086 data_time: 0.031992 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.936143 2023/08/08 20:11:43 - mmengine - INFO - Epoch(train) [175][290/529] lr: 5.000000e-05 eta: 1:52:45 time: 0.355261 data_time: 0.032027 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.967969 2023/08/08 20:11:47 - mmengine - INFO - Epoch(train) [175][300/529] lr: 5.000000e-05 eta: 1:52:41 time: 0.363512 data_time: 0.036422 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.942460 2023/08/08 20:11:51 - mmengine - INFO - Epoch(train) [175][310/529] lr: 5.000000e-05 eta: 1:52:38 time: 0.364185 data_time: 0.036445 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.931030 2023/08/08 20:11:54 - mmengine - INFO - Epoch(train) [175][320/529] lr: 5.000000e-05 eta: 1:52:34 time: 0.360963 data_time: 0.036586 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.942312 2023/08/08 20:11:58 - mmengine - INFO - Epoch(train) [175][330/529] lr: 5.000000e-05 eta: 1:52:31 time: 0.360380 data_time: 0.036514 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.962411 2023/08/08 20:12:01 - mmengine - INFO - Epoch(train) [175][340/529] lr: 5.000000e-05 eta: 1:52:27 time: 0.356672 data_time: 0.036447 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.928549 2023/08/08 20:12:05 - mmengine - INFO - Epoch(train) [175][350/529] lr: 5.000000e-05 eta: 1:52:23 time: 0.349951 data_time: 0.032216 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.932747 2023/08/08 20:12:08 - mmengine - INFO - Epoch(train) [175][360/529] lr: 5.000000e-05 eta: 1:52:20 time: 0.350999 data_time: 0.032356 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.877324 2023/08/08 20:12:12 - mmengine - INFO - Epoch(train) [175][370/529] lr: 5.000000e-05 eta: 1:52:16 time: 0.355433 data_time: 0.032221 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.945486 2023/08/08 20:12:15 - mmengine - INFO - Epoch(train) [175][380/529] lr: 5.000000e-05 eta: 1:52:13 time: 0.356108 data_time: 0.032115 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.923580 2023/08/08 20:12:19 - mmengine - INFO - Epoch(train) [175][390/529] lr: 5.000000e-05 eta: 1:52:09 time: 0.355403 data_time: 0.032156 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.939345 2023/08/08 20:12:22 - mmengine - INFO - Epoch(train) [175][400/529] lr: 5.000000e-05 eta: 1:52:05 time: 0.357468 data_time: 0.032344 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.913739 2023/08/08 20:12:26 - mmengine - INFO - Epoch(train) [175][410/529] lr: 5.000000e-05 eta: 1:52:02 time: 0.357848 data_time: 0.032499 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.934414 2023/08/08 20:12:30 - mmengine - INFO - Epoch(train) [175][420/529] lr: 5.000000e-05 eta: 1:51:58 time: 0.356250 data_time: 0.032554 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.934913 2023/08/08 20:12:33 - mmengine - INFO - Epoch(train) [175][430/529] lr: 5.000000e-05 eta: 1:51:54 time: 0.356979 data_time: 0.033442 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.888140 2023/08/08 20:12:37 - mmengine - INFO - Epoch(train) [175][440/529] lr: 5.000000e-05 eta: 1:51:51 time: 0.359222 data_time: 0.034225 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.944859 2023/08/08 20:12:40 - mmengine - INFO - Epoch(train) [175][450/529] lr: 5.000000e-05 eta: 1:51:47 time: 0.355642 data_time: 0.034270 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.935197 2023/08/08 20:12:44 - mmengine - INFO - Epoch(train) [175][460/529] lr: 5.000000e-05 eta: 1:51:44 time: 0.355030 data_time: 0.034235 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.938848 2023/08/08 20:12:47 - mmengine - INFO - Epoch(train) [175][470/529] lr: 5.000000e-05 eta: 1:51:40 time: 0.353434 data_time: 0.034263 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.889290 2023/08/08 20:12:51 - mmengine - INFO - Epoch(train) [175][480/529] lr: 5.000000e-05 eta: 1:51:36 time: 0.352374 data_time: 0.033498 memory: 4565 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.925008 2023/08/08 20:12:54 - mmengine - INFO - Epoch(train) [175][490/529] lr: 5.000000e-05 eta: 1:51:33 time: 0.352194 data_time: 0.032663 memory: 4565 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.924294 2023/08/08 20:12:58 - mmengine - INFO - Epoch(train) [175][500/529] lr: 5.000000e-05 eta: 1:51:29 time: 0.353037 data_time: 0.032476 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.933638 2023/08/08 20:13:02 - mmengine - INFO - Epoch(train) [175][510/529] lr: 5.000000e-05 eta: 1:51:25 time: 0.355263 data_time: 0.032227 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.927746 2023/08/08 20:13:05 - mmengine - INFO - Epoch(train) [175][520/529] lr: 5.000000e-05 eta: 1:51:22 time: 0.353834 data_time: 0.032079 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.962508 2023/08/08 20:13:08 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:13:12 - mmengine - INFO - Epoch(train) [176][ 10/529] lr: 5.000000e-05 eta: 1:51:15 time: 0.360057 data_time: 0.036857 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.960343 2023/08/08 20:13:16 - mmengine - INFO - Epoch(train) [176][ 20/529] lr: 5.000000e-05 eta: 1:51:11 time: 0.360986 data_time: 0.036750 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.860598 2023/08/08 20:13:19 - mmengine - INFO - Epoch(train) [176][ 30/529] lr: 5.000000e-05 eta: 1:51:08 time: 0.361403 data_time: 0.037484 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.933327 2023/08/08 20:13:23 - mmengine - INFO - Epoch(train) [176][ 40/529] lr: 5.000000e-05 eta: 1:51:04 time: 0.363553 data_time: 0.037517 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.948469 2023/08/08 20:13:26 - mmengine - INFO - Epoch(train) [176][ 50/529] lr: 5.000000e-05 eta: 1:51:01 time: 0.363987 data_time: 0.037784 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.940398 2023/08/08 20:13:30 - mmengine - INFO - Epoch(train) [176][ 60/529] lr: 5.000000e-05 eta: 1:50:57 time: 0.358825 data_time: 0.032357 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.944287 2023/08/08 20:13:34 - mmengine - INFO - Epoch(train) [176][ 70/529] lr: 5.000000e-05 eta: 1:50:53 time: 0.360503 data_time: 0.032506 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.920833 2023/08/08 20:13:37 - mmengine - INFO - Epoch(train) [176][ 80/529] lr: 5.000000e-05 eta: 1:50:50 time: 0.358372 data_time: 0.031760 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.928092 2023/08/08 20:13:41 - mmengine - INFO - Epoch(train) [176][ 90/529] lr: 5.000000e-05 eta: 1:50:46 time: 0.359896 data_time: 0.031918 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.909703 2023/08/08 20:13:45 - mmengine - INFO - Epoch(train) [176][100/529] lr: 5.000000e-05 eta: 1:50:43 time: 0.360049 data_time: 0.031995 memory: 4565 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.871814 2023/08/08 20:13:48 - mmengine - INFO - Epoch(train) [176][110/529] lr: 5.000000e-05 eta: 1:50:39 time: 0.359052 data_time: 0.032072 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.962708 2023/08/08 20:13:52 - mmengine - INFO - Epoch(train) [176][120/529] lr: 5.000000e-05 eta: 1:50:35 time: 0.357726 data_time: 0.031839 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.944027 2023/08/08 20:13:55 - mmengine - INFO - Epoch(train) [176][130/529] lr: 5.000000e-05 eta: 1:50:32 time: 0.359776 data_time: 0.031970 memory: 4565 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.869203 2023/08/08 20:13:59 - mmengine - INFO - Epoch(train) [176][140/529] lr: 5.000000e-05 eta: 1:50:28 time: 0.363382 data_time: 0.031836 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.939783 2023/08/08 20:14:03 - mmengine - INFO - Epoch(train) [176][150/529] lr: 5.000000e-05 eta: 1:50:25 time: 0.367237 data_time: 0.031947 memory: 4565 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.936320 2023/08/08 20:14:06 - mmengine - INFO - Epoch(train) [176][160/529] lr: 5.000000e-05 eta: 1:50:21 time: 0.367626 data_time: 0.031879 memory: 4565 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.960307 2023/08/08 20:14:10 - mmengine - INFO - Epoch(train) [176][170/529] lr: 5.000000e-05 eta: 1:50:17 time: 0.367687 data_time: 0.031996 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.880159 2023/08/08 20:14:14 - mmengine - INFO - Epoch(train) [176][180/529] lr: 5.000000e-05 eta: 1:50:14 time: 0.367004 data_time: 0.031937 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.915329 2023/08/08 20:14:17 - mmengine - INFO - Epoch(train) [176][190/529] lr: 5.000000e-05 eta: 1:50:10 time: 0.362167 data_time: 0.031836 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.917952 2023/08/08 20:14:21 - mmengine - INFO - Epoch(train) [176][200/529] lr: 5.000000e-05 eta: 1:50:06 time: 0.358567 data_time: 0.031968 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.948033 2023/08/08 20:14:24 - mmengine - INFO - Epoch(train) [176][210/529] lr: 5.000000e-05 eta: 1:50:03 time: 0.357162 data_time: 0.032149 memory: 4565 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.949770 2023/08/08 20:14:28 - mmengine - INFO - Epoch(train) [176][220/529] lr: 5.000000e-05 eta: 1:49:59 time: 0.356430 data_time: 0.032296 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.960740 2023/08/08 20:14:31 - mmengine - INFO - Epoch(train) [176][230/529] lr: 5.000000e-05 eta: 1:49:56 time: 0.353768 data_time: 0.032254 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.934195 2023/08/08 20:14:35 - mmengine - INFO - Epoch(train) [176][240/529] lr: 5.000000e-05 eta: 1:49:52 time: 0.351481 data_time: 0.032217 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.895944 2023/08/08 20:14:38 - mmengine - INFO - Epoch(train) [176][250/529] lr: 5.000000e-05 eta: 1:49:48 time: 0.348697 data_time: 0.031936 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.956074 2023/08/08 20:14:42 - mmengine - INFO - Epoch(train) [176][260/529] lr: 5.000000e-05 eta: 1:49:45 time: 0.349765 data_time: 0.031819 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.923814 2023/08/08 20:14:45 - mmengine - INFO - Epoch(train) [176][270/529] lr: 5.000000e-05 eta: 1:49:41 time: 0.350389 data_time: 0.031849 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.900816 2023/08/08 20:14:49 - mmengine - INFO - Epoch(train) [176][280/529] lr: 5.000000e-05 eta: 1:49:37 time: 0.352418 data_time: 0.032195 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.925811 2023/08/08 20:14:53 - mmengine - INFO - Epoch(train) [176][290/529] lr: 5.000000e-05 eta: 1:49:34 time: 0.357265 data_time: 0.033562 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.917132 2023/08/08 20:14:56 - mmengine - INFO - Epoch(train) [176][300/529] lr: 5.000000e-05 eta: 1:49:30 time: 0.359239 data_time: 0.034342 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.966137 2023/08/08 20:15:00 - mmengine - INFO - Epoch(train) [176][310/529] lr: 5.000000e-05 eta: 1:49:27 time: 0.357678 data_time: 0.034366 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.950307 2023/08/08 20:15:03 - mmengine - INFO - Epoch(train) [176][320/529] lr: 5.000000e-05 eta: 1:49:23 time: 0.357552 data_time: 0.034208 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.905293 2023/08/08 20:15:07 - mmengine - INFO - Epoch(train) [176][330/529] lr: 5.000000e-05 eta: 1:49:19 time: 0.360420 data_time: 0.034264 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.889695 2023/08/08 20:15:11 - mmengine - INFO - Epoch(train) [176][340/529] lr: 5.000000e-05 eta: 1:49:16 time: 0.356525 data_time: 0.033284 memory: 4565 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.940186 2023/08/08 20:15:14 - mmengine - INFO - Epoch(train) [176][350/529] lr: 5.000000e-05 eta: 1:49:12 time: 0.356059 data_time: 0.033461 memory: 4565 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.873256 2023/08/08 20:15:18 - mmengine - INFO - Epoch(train) [176][360/529] lr: 5.000000e-05 eta: 1:49:09 time: 0.356533 data_time: 0.033496 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.941221 2023/08/08 20:15:21 - mmengine - INFO - Epoch(train) [176][370/529] lr: 5.000000e-05 eta: 1:49:05 time: 0.354980 data_time: 0.033388 memory: 4565 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.911330 2023/08/08 20:15:25 - mmengine - INFO - Epoch(train) [176][380/529] lr: 5.000000e-05 eta: 1:49:01 time: 0.349992 data_time: 0.033175 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.935510 2023/08/08 20:15:28 - mmengine - INFO - Epoch(train) [176][390/529] lr: 5.000000e-05 eta: 1:48:58 time: 0.350849 data_time: 0.032957 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.923273 2023/08/08 20:15:32 - mmengine - INFO - Epoch(train) [176][400/529] lr: 5.000000e-05 eta: 1:48:54 time: 0.350143 data_time: 0.032241 memory: 4565 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.933737 2023/08/08 20:15:35 - mmengine - INFO - Epoch(train) [176][410/529] lr: 5.000000e-05 eta: 1:48:50 time: 0.351668 data_time: 0.032237 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.954023 2023/08/08 20:15:39 - mmengine - INFO - Epoch(train) [176][420/529] lr: 5.000000e-05 eta: 1:48:47 time: 0.352126 data_time: 0.032334 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.913374 2023/08/08 20:15:40 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:15:42 - mmengine - INFO - Epoch(train) [176][430/529] lr: 5.000000e-05 eta: 1:48:43 time: 0.355451 data_time: 0.032233 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.901123 2023/08/08 20:15:46 - mmengine - INFO - Epoch(train) [176][440/529] lr: 5.000000e-05 eta: 1:48:40 time: 0.353738 data_time: 0.032265 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.958674 2023/08/08 20:15:49 - mmengine - INFO - Epoch(train) [176][450/529] lr: 5.000000e-05 eta: 1:48:36 time: 0.353233 data_time: 0.032126 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.932337 2023/08/08 20:15:53 - mmengine - INFO - Epoch(train) [176][460/529] lr: 5.000000e-05 eta: 1:48:32 time: 0.353077 data_time: 0.032128 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.922965 2023/08/08 20:15:56 - mmengine - INFO - Epoch(train) [176][470/529] lr: 5.000000e-05 eta: 1:48:29 time: 0.353551 data_time: 0.032002 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.925417 2023/08/08 20:16:00 - mmengine - INFO - Epoch(train) [176][480/529] lr: 5.000000e-05 eta: 1:48:25 time: 0.352558 data_time: 0.032248 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.946420 2023/08/08 20:16:04 - mmengine - INFO - Epoch(train) [176][490/529] lr: 5.000000e-05 eta: 1:48:21 time: 0.354281 data_time: 0.032154 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.930772 2023/08/08 20:16:07 - mmengine - INFO - Epoch(train) [176][500/529] lr: 5.000000e-05 eta: 1:48:18 time: 0.357109 data_time: 0.032293 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.917013 2023/08/08 20:16:11 - mmengine - INFO - Epoch(train) [176][510/529] lr: 5.000000e-05 eta: 1:48:14 time: 0.354975 data_time: 0.032267 memory: 4565 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.883214 2023/08/08 20:16:14 - mmengine - INFO - Epoch(train) [176][520/529] lr: 5.000000e-05 eta: 1:48:11 time: 0.355570 data_time: 0.032231 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.910456 2023/08/08 20:16:17 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:16:21 - mmengine - INFO - Epoch(train) [177][ 10/529] lr: 5.000000e-05 eta: 1:48:04 time: 0.363206 data_time: 0.036841 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.935192 2023/08/08 20:16:25 - mmengine - INFO - Epoch(train) [177][ 20/529] lr: 5.000000e-05 eta: 1:48:00 time: 0.360960 data_time: 0.037222 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.895694 2023/08/08 20:16:28 - mmengine - INFO - Epoch(train) [177][ 30/529] lr: 5.000000e-05 eta: 1:47:57 time: 0.361403 data_time: 0.037244 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.926594 2023/08/08 20:16:32 - mmengine - INFO - Epoch(train) [177][ 40/529] lr: 5.000000e-05 eta: 1:47:53 time: 0.361116 data_time: 0.037173 memory: 4565 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.955999 2023/08/08 20:16:35 - mmengine - INFO - Epoch(train) [177][ 50/529] lr: 5.000000e-05 eta: 1:47:49 time: 0.360655 data_time: 0.037162 memory: 4565 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.935166 2023/08/08 20:16:39 - mmengine - INFO - Epoch(train) [177][ 60/529] lr: 5.000000e-05 eta: 1:47:46 time: 0.351590 data_time: 0.032550 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.911729 2023/08/08 20:16:43 - mmengine - INFO - Epoch(train) [177][ 70/529] lr: 5.000000e-05 eta: 1:47:42 time: 0.354609 data_time: 0.035827 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.927577 2023/08/08 20:16:46 - mmengine - INFO - Epoch(train) [177][ 80/529] lr: 5.000000e-05 eta: 1:47:38 time: 0.356021 data_time: 0.036534 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.900096 2023/08/08 20:16:50 - mmengine - INFO - Epoch(train) [177][ 90/529] lr: 5.000000e-05 eta: 1:47:35 time: 0.356005 data_time: 0.036561 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.914852 2023/08/08 20:16:54 - mmengine - INFO - Epoch(train) [177][100/529] lr: 5.000000e-05 eta: 1:47:31 time: 0.362397 data_time: 0.036898 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.914281 2023/08/08 20:16:57 - mmengine - INFO - Epoch(train) [177][110/529] lr: 5.000000e-05 eta: 1:47:28 time: 0.361765 data_time: 0.036768 memory: 4565 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.926660 2023/08/08 20:17:01 - mmengine - INFO - Epoch(train) [177][120/529] lr: 5.000000e-05 eta: 1:47:24 time: 0.359448 data_time: 0.033293 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.955574 2023/08/08 20:17:04 - mmengine - INFO - Epoch(train) [177][130/529] lr: 5.000000e-05 eta: 1:47:20 time: 0.361029 data_time: 0.033209 memory: 4565 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.928686 2023/08/08 20:17:08 - mmengine - INFO - Epoch(train) [177][140/529] lr: 5.000000e-05 eta: 1:47:17 time: 0.361705 data_time: 0.033350 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.971094 2023/08/08 20:17:11 - mmengine - INFO - Epoch(train) [177][150/529] lr: 5.000000e-05 eta: 1:47:13 time: 0.357599 data_time: 0.033138 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.929177 2023/08/08 20:17:15 - mmengine - INFO - Epoch(train) [177][160/529] lr: 5.000000e-05 eta: 1:47:10 time: 0.356971 data_time: 0.033020 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.918426 2023/08/08 20:17:18 - mmengine - INFO - Epoch(train) [177][170/529] lr: 5.000000e-05 eta: 1:47:06 time: 0.354905 data_time: 0.032684 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.938148 2023/08/08 20:17:22 - mmengine - INFO - Epoch(train) [177][180/529] lr: 5.000000e-05 eta: 1:47:02 time: 0.353279 data_time: 0.032075 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.932349 2023/08/08 20:17:25 - mmengine - INFO - Epoch(train) [177][190/529] lr: 5.000000e-05 eta: 1:46:59 time: 0.352727 data_time: 0.032230 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.935467 2023/08/08 20:17:29 - mmengine - INFO - Epoch(train) [177][200/529] lr: 5.000000e-05 eta: 1:46:55 time: 0.352217 data_time: 0.032422 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.898356 2023/08/08 20:17:33 - mmengine - INFO - Epoch(train) [177][210/529] lr: 5.000000e-05 eta: 1:46:52 time: 0.354742 data_time: 0.032762 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.899250 2023/08/08 20:17:36 - mmengine - INFO - Epoch(train) [177][220/529] lr: 5.000000e-05 eta: 1:46:48 time: 0.354954 data_time: 0.032697 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.918821 2023/08/08 20:17:40 - mmengine - INFO - Epoch(train) [177][230/529] lr: 5.000000e-05 eta: 1:46:44 time: 0.353760 data_time: 0.032631 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.857503 2023/08/08 20:17:43 - mmengine - INFO - Epoch(train) [177][240/529] lr: 5.000000e-05 eta: 1:46:41 time: 0.352826 data_time: 0.032395 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.863931 2023/08/08 20:17:47 - mmengine - INFO - Epoch(train) [177][250/529] lr: 5.000000e-05 eta: 1:46:37 time: 0.351316 data_time: 0.032299 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.910701 2023/08/08 20:17:50 - mmengine - INFO - Epoch(train) [177][260/529] lr: 5.000000e-05 eta: 1:46:33 time: 0.353304 data_time: 0.036662 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.901909 2023/08/08 20:17:54 - mmengine - INFO - Epoch(train) [177][270/529] lr: 5.000000e-05 eta: 1:46:30 time: 0.356118 data_time: 0.037096 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.931289 2023/08/08 20:17:58 - mmengine - INFO - Epoch(train) [177][280/529] lr: 5.000000e-05 eta: 1:46:26 time: 0.357632 data_time: 0.037711 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.893973 2023/08/08 20:18:01 - mmengine - INFO - Epoch(train) [177][290/529] lr: 5.000000e-05 eta: 1:46:23 time: 0.358151 data_time: 0.038515 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.938564 2023/08/08 20:18:05 - mmengine - INFO - Epoch(train) [177][300/529] lr: 5.000000e-05 eta: 1:46:19 time: 0.357711 data_time: 0.038990 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.868185 2023/08/08 20:18:08 - mmengine - INFO - Epoch(train) [177][310/529] lr: 5.000000e-05 eta: 1:46:15 time: 0.354869 data_time: 0.035426 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.900962 2023/08/08 20:18:12 - mmengine - INFO - Epoch(train) [177][320/529] lr: 5.000000e-05 eta: 1:46:12 time: 0.356155 data_time: 0.035121 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.937830 2023/08/08 20:18:15 - mmengine - INFO - Epoch(train) [177][330/529] lr: 5.000000e-05 eta: 1:46:08 time: 0.355762 data_time: 0.034763 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.918589 2023/08/08 20:18:19 - mmengine - INFO - Epoch(train) [177][340/529] lr: 5.000000e-05 eta: 1:46:04 time: 0.355036 data_time: 0.033880 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.914077 2023/08/08 20:18:22 - mmengine - INFO - Epoch(train) [177][350/529] lr: 5.000000e-05 eta: 1:46:01 time: 0.355050 data_time: 0.033368 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.963116 2023/08/08 20:18:26 - mmengine - INFO - Epoch(train) [177][360/529] lr: 5.000000e-05 eta: 1:45:57 time: 0.355526 data_time: 0.032783 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.955511 2023/08/08 20:18:29 - mmengine - INFO - Epoch(train) [177][370/529] lr: 5.000000e-05 eta: 1:45:54 time: 0.351283 data_time: 0.033648 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.948364 2023/08/08 20:18:33 - mmengine - INFO - Epoch(train) [177][380/529] lr: 5.000000e-05 eta: 1:45:50 time: 0.350158 data_time: 0.033711 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.952257 2023/08/08 20:18:37 - mmengine - INFO - Epoch(train) [177][390/529] lr: 5.000000e-05 eta: 1:45:46 time: 0.354075 data_time: 0.034611 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.902390 2023/08/08 20:18:40 - mmengine - INFO - Epoch(train) [177][400/529] lr: 5.000000e-05 eta: 1:45:43 time: 0.356551 data_time: 0.034549 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.909175 2023/08/08 20:18:44 - mmengine - INFO - Epoch(train) [177][410/529] lr: 5.000000e-05 eta: 1:45:39 time: 0.356032 data_time: 0.034320 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.878724 2023/08/08 20:18:47 - mmengine - INFO - Epoch(train) [177][420/529] lr: 5.000000e-05 eta: 1:45:36 time: 0.355435 data_time: 0.033412 memory: 4565 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.926562 2023/08/08 20:18:51 - mmengine - INFO - Epoch(train) [177][430/529] lr: 5.000000e-05 eta: 1:45:32 time: 0.355491 data_time: 0.033099 memory: 4565 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.899420 2023/08/08 20:18:54 - mmengine - INFO - Epoch(train) [177][440/529] lr: 5.000000e-05 eta: 1:45:28 time: 0.352595 data_time: 0.032274 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.979745 2023/08/08 20:18:58 - mmengine - INFO - Epoch(train) [177][450/529] lr: 5.000000e-05 eta: 1:45:25 time: 0.354189 data_time: 0.036092 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.937965 2023/08/08 20:19:02 - mmengine - INFO - Epoch(train) [177][460/529] lr: 5.000000e-05 eta: 1:45:21 time: 0.357078 data_time: 0.036446 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.927604 2023/08/08 20:19:05 - mmengine - INFO - Epoch(train) [177][470/529] lr: 5.000000e-05 eta: 1:45:17 time: 0.358271 data_time: 0.036512 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.941653 2023/08/08 20:19:09 - mmengine - INFO - Epoch(train) [177][480/529] lr: 5.000000e-05 eta: 1:45:14 time: 0.357756 data_time: 0.036956 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.958814 2023/08/08 20:19:12 - mmengine - INFO - Epoch(train) [177][490/529] lr: 5.000000e-05 eta: 1:45:10 time: 0.357978 data_time: 0.036986 memory: 4565 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.942155 2023/08/08 20:19:16 - mmengine - INFO - Epoch(train) [177][500/529] lr: 5.000000e-05 eta: 1:45:07 time: 0.354835 data_time: 0.033190 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.937677 2023/08/08 20:19:19 - mmengine - INFO - Epoch(train) [177][510/529] lr: 5.000000e-05 eta: 1:45:03 time: 0.352597 data_time: 0.033272 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.969923 2023/08/08 20:19:23 - mmengine - INFO - Epoch(train) [177][520/529] lr: 5.000000e-05 eta: 1:44:59 time: 0.352121 data_time: 0.033612 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.908284 2023/08/08 20:19:26 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:19:30 - mmengine - INFO - Epoch(train) [178][ 10/529] lr: 5.000000e-05 eta: 1:44:53 time: 0.363980 data_time: 0.036992 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.924811 2023/08/08 20:19:34 - mmengine - INFO - Epoch(train) [178][ 20/529] lr: 5.000000e-05 eta: 1:44:49 time: 0.364566 data_time: 0.036847 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.906156 2023/08/08 20:19:37 - mmengine - INFO - Epoch(train) [178][ 30/529] lr: 5.000000e-05 eta: 1:44:45 time: 0.365132 data_time: 0.036214 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.915207 2023/08/08 20:19:41 - mmengine - INFO - Epoch(train) [178][ 40/529] lr: 5.000000e-05 eta: 1:44:42 time: 0.368665 data_time: 0.035970 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.865047 2023/08/08 20:19:44 - mmengine - INFO - Epoch(train) [178][ 50/529] lr: 5.000000e-05 eta: 1:44:38 time: 0.367026 data_time: 0.035999 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.938690 2023/08/08 20:19:48 - mmengine - INFO - Epoch(train) [178][ 60/529] lr: 5.000000e-05 eta: 1:44:35 time: 0.361602 data_time: 0.032538 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.859298 2023/08/08 20:19:52 - mmengine - INFO - Epoch(train) [178][ 70/529] lr: 5.000000e-05 eta: 1:44:31 time: 0.361100 data_time: 0.032579 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.946681 2023/08/08 20:19:55 - mmengine - INFO - Epoch(train) [178][ 80/529] lr: 5.000000e-05 eta: 1:44:27 time: 0.360622 data_time: 0.032691 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.942177 2023/08/08 20:19:59 - mmengine - INFO - Epoch(train) [178][ 90/529] lr: 5.000000e-05 eta: 1:44:24 time: 0.358103 data_time: 0.032409 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.939354 2023/08/08 20:20:02 - mmengine - INFO - Epoch(train) [178][100/529] lr: 5.000000e-05 eta: 1:44:20 time: 0.358672 data_time: 0.032387 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.921171 2023/08/08 20:20:06 - mmengine - INFO - Epoch(train) [178][110/529] lr: 5.000000e-05 eta: 1:44:16 time: 0.356984 data_time: 0.031976 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.908447 2023/08/08 20:20:10 - mmengine - INFO - Epoch(train) [178][120/529] lr: 5.000000e-05 eta: 1:44:13 time: 0.358143 data_time: 0.032081 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.928342 2023/08/08 20:20:13 - mmengine - INFO - Epoch(train) [178][130/529] lr: 5.000000e-05 eta: 1:44:09 time: 0.360028 data_time: 0.032371 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.916275 2023/08/08 20:20:17 - mmengine - INFO - Epoch(train) [178][140/529] lr: 5.000000e-05 eta: 1:44:06 time: 0.365196 data_time: 0.036288 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.925185 2023/08/08 20:20:21 - mmengine - INFO - Epoch(train) [178][150/529] lr: 5.000000e-05 eta: 1:44:02 time: 0.365426 data_time: 0.036477 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.928672 2023/08/08 20:20:25 - mmengine - INFO - Epoch(train) [178][160/529] lr: 5.000000e-05 eta: 1:43:59 time: 0.372352 data_time: 0.036768 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.939350 2023/08/08 20:20:29 - mmengine - INFO - Epoch(train) [178][170/529] lr: 5.000000e-05 eta: 1:43:55 time: 0.380784 data_time: 0.037316 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.948346 2023/08/08 20:20:32 - mmengine - INFO - Epoch(train) [178][180/529] lr: 5.000000e-05 eta: 1:43:51 time: 0.383857 data_time: 0.037118 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.930282 2023/08/08 20:20:36 - mmengine - INFO - Epoch(train) [178][190/529] lr: 5.000000e-05 eta: 1:43:48 time: 0.379639 data_time: 0.033382 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.928815 2023/08/08 20:20:40 - mmengine - INFO - Epoch(train) [178][200/529] lr: 5.000000e-05 eta: 1:43:44 time: 0.378309 data_time: 0.033170 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.946752 2023/08/08 20:20:43 - mmengine - INFO - Epoch(train) [178][210/529] lr: 5.000000e-05 eta: 1:43:41 time: 0.370809 data_time: 0.033009 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.941618 2023/08/08 20:20:47 - mmengine - INFO - Epoch(train) [178][220/529] lr: 5.000000e-05 eta: 1:43:37 time: 0.361152 data_time: 0.032266 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.953590 2023/08/08 20:20:50 - mmengine - INFO - Epoch(train) [178][230/529] lr: 5.000000e-05 eta: 1:43:33 time: 0.358783 data_time: 0.031929 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.941289 2023/08/08 20:20:54 - mmengine - INFO - Epoch(train) [178][240/529] lr: 5.000000e-05 eta: 1:43:30 time: 0.358335 data_time: 0.032074 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.954404 2023/08/08 20:20:58 - mmengine - INFO - Epoch(train) [178][250/529] lr: 5.000000e-05 eta: 1:43:26 time: 0.359693 data_time: 0.032505 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.935423 2023/08/08 20:21:01 - mmengine - INFO - Epoch(train) [178][260/529] lr: 5.000000e-05 eta: 1:43:23 time: 0.359594 data_time: 0.032259 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.947317 2023/08/08 20:21:05 - mmengine - INFO - Epoch(train) [178][270/529] lr: 5.000000e-05 eta: 1:43:19 time: 0.359830 data_time: 0.032216 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.923581 2023/08/08 20:21:08 - mmengine - INFO - Epoch(train) [178][280/529] lr: 5.000000e-05 eta: 1:43:15 time: 0.356461 data_time: 0.032208 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.923073 2023/08/08 20:21:12 - mmengine - INFO - Epoch(train) [178][290/529] lr: 5.000000e-05 eta: 1:43:12 time: 0.357598 data_time: 0.032148 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.937684 2023/08/08 20:21:15 - mmengine - INFO - Epoch(train) [178][300/529] lr: 5.000000e-05 eta: 1:43:08 time: 0.355879 data_time: 0.031710 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.902464 2023/08/08 20:21:19 - mmengine - INFO - Epoch(train) [178][310/529] lr: 5.000000e-05 eta: 1:43:05 time: 0.360489 data_time: 0.032134 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.942293 2023/08/08 20:21:23 - mmengine - INFO - Epoch(train) [178][320/529] lr: 5.000000e-05 eta: 1:43:01 time: 0.360619 data_time: 0.032126 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.958473 2023/08/08 20:21:26 - mmengine - INFO - Epoch(train) [178][330/529] lr: 5.000000e-05 eta: 1:42:57 time: 0.361153 data_time: 0.032160 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.959695 2023/08/08 20:21:30 - mmengine - INFO - Epoch(train) [178][340/529] lr: 5.000000e-05 eta: 1:42:54 time: 0.359722 data_time: 0.031966 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.936140 2023/08/08 20:21:33 - mmengine - INFO - Epoch(train) [178][350/529] lr: 5.000000e-05 eta: 1:42:50 time: 0.359775 data_time: 0.031978 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.971681 2023/08/08 20:21:37 - mmengine - INFO - Epoch(train) [178][360/529] lr: 5.000000e-05 eta: 1:42:46 time: 0.356295 data_time: 0.031739 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.919350 2023/08/08 20:21:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:21:41 - mmengine - INFO - Epoch(train) [178][370/529] lr: 5.000000e-05 eta: 1:42:43 time: 0.357096 data_time: 0.031962 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.925943 2023/08/08 20:21:44 - mmengine - INFO - Epoch(train) [178][380/529] lr: 5.000000e-05 eta: 1:42:39 time: 0.358862 data_time: 0.032052 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.902359 2023/08/08 20:21:48 - mmengine - INFO - Epoch(train) [178][390/529] lr: 5.000000e-05 eta: 1:42:36 time: 0.362862 data_time: 0.032150 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.903690 2023/08/08 20:21:52 - mmengine - INFO - Epoch(train) [178][400/529] lr: 5.000000e-05 eta: 1:42:32 time: 0.363420 data_time: 0.032137 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.937067 2023/08/08 20:21:55 - mmengine - INFO - Epoch(train) [178][410/529] lr: 5.000000e-05 eta: 1:42:28 time: 0.362277 data_time: 0.032048 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.947787 2023/08/08 20:21:59 - mmengine - INFO - Epoch(train) [178][420/529] lr: 5.000000e-05 eta: 1:42:25 time: 0.362485 data_time: 0.032019 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.932790 2023/08/08 20:22:02 - mmengine - INFO - Epoch(train) [178][430/529] lr: 5.000000e-05 eta: 1:42:21 time: 0.361128 data_time: 0.032048 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.956729 2023/08/08 20:22:06 - mmengine - INFO - Epoch(train) [178][440/529] lr: 5.000000e-05 eta: 1:42:18 time: 0.361011 data_time: 0.032551 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.986979 2023/08/08 20:22:10 - mmengine - INFO - Epoch(train) [178][450/529] lr: 5.000000e-05 eta: 1:42:14 time: 0.360540 data_time: 0.032501 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.943877 2023/08/08 20:22:13 - mmengine - INFO - Epoch(train) [178][460/529] lr: 5.000000e-05 eta: 1:42:10 time: 0.363505 data_time: 0.032452 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.914741 2023/08/08 20:22:17 - mmengine - INFO - Epoch(train) [178][470/529] lr: 5.000000e-05 eta: 1:42:07 time: 0.363493 data_time: 0.032453 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.912177 2023/08/08 20:22:21 - mmengine - INFO - Epoch(train) [178][480/529] lr: 5.000000e-05 eta: 1:42:03 time: 0.364857 data_time: 0.032937 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.911184 2023/08/08 20:22:24 - mmengine - INFO - Epoch(train) [178][490/529] lr: 5.000000e-05 eta: 1:42:00 time: 0.361802 data_time: 0.032291 memory: 4565 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.937178 2023/08/08 20:22:28 - mmengine - INFO - Epoch(train) [178][500/529] lr: 5.000000e-05 eta: 1:41:56 time: 0.363154 data_time: 0.032882 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.908797 2023/08/08 20:22:31 - mmengine - INFO - Epoch(train) [178][510/529] lr: 5.000000e-05 eta: 1:41:52 time: 0.358037 data_time: 0.032793 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.959782 2023/08/08 20:22:35 - mmengine - INFO - Epoch(train) [178][520/529] lr: 5.000000e-05 eta: 1:41:49 time: 0.355340 data_time: 0.032555 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.954299 2023/08/08 20:22:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:22:42 - mmengine - INFO - Epoch(train) [179][ 10/529] lr: 5.000000e-05 eta: 1:41:42 time: 0.354950 data_time: 0.035573 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.866048 2023/08/08 20:22:45 - mmengine - INFO - Epoch(train) [179][ 20/529] lr: 5.000000e-05 eta: 1:41:38 time: 0.354911 data_time: 0.035221 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.948989 2023/08/08 20:22:49 - mmengine - INFO - Epoch(train) [179][ 30/529] lr: 5.000000e-05 eta: 1:41:35 time: 0.357838 data_time: 0.035353 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.945569 2023/08/08 20:22:52 - mmengine - INFO - Epoch(train) [179][ 40/529] lr: 5.000000e-05 eta: 1:41:31 time: 0.361540 data_time: 0.035707 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.943545 2023/08/08 20:22:56 - mmengine - INFO - Epoch(train) [179][ 50/529] lr: 5.000000e-05 eta: 1:41:27 time: 0.364112 data_time: 0.036071 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.932846 2023/08/08 20:23:00 - mmengine - INFO - Epoch(train) [179][ 60/529] lr: 5.000000e-05 eta: 1:41:24 time: 0.362745 data_time: 0.035940 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.922341 2023/08/08 20:23:03 - mmengine - INFO - Epoch(train) [179][ 70/529] lr: 5.000000e-05 eta: 1:41:20 time: 0.360865 data_time: 0.035787 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.948756 2023/08/08 20:23:07 - mmengine - INFO - Epoch(train) [179][ 80/529] lr: 5.000000e-05 eta: 1:41:17 time: 0.362938 data_time: 0.035712 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.883409 2023/08/08 20:23:11 - mmengine - INFO - Epoch(train) [179][ 90/529] lr: 5.000000e-05 eta: 1:41:13 time: 0.365355 data_time: 0.036107 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.958278 2023/08/08 20:23:14 - mmengine - INFO - Epoch(train) [179][100/529] lr: 5.000000e-05 eta: 1:41:09 time: 0.366864 data_time: 0.036433 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.936673 2023/08/08 20:23:18 - mmengine - INFO - Epoch(train) [179][110/529] lr: 5.000000e-05 eta: 1:41:06 time: 0.363871 data_time: 0.032948 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.911856 2023/08/08 20:23:21 - mmengine - INFO - Epoch(train) [179][120/529] lr: 5.000000e-05 eta: 1:41:02 time: 0.364724 data_time: 0.033026 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.912352 2023/08/08 20:23:25 - mmengine - INFO - Epoch(train) [179][130/529] lr: 5.000000e-05 eta: 1:40:59 time: 0.362332 data_time: 0.032968 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.956219 2023/08/08 20:23:29 - mmengine - INFO - Epoch(train) [179][140/529] lr: 5.000000e-05 eta: 1:40:55 time: 0.358690 data_time: 0.032471 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.920002 2023/08/08 20:23:32 - mmengine - INFO - Epoch(train) [179][150/529] lr: 5.000000e-05 eta: 1:40:51 time: 0.358536 data_time: 0.032698 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.865743 2023/08/08 20:23:36 - mmengine - INFO - Epoch(train) [179][160/529] lr: 5.000000e-05 eta: 1:40:48 time: 0.360509 data_time: 0.034057 memory: 4565 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.920927 2023/08/08 20:23:40 - mmengine - INFO - Epoch(train) [179][170/529] lr: 5.000000e-05 eta: 1:40:44 time: 0.360340 data_time: 0.035325 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.969942 2023/08/08 20:23:43 - mmengine - INFO - Epoch(train) [179][180/529] lr: 5.000000e-05 eta: 1:40:41 time: 0.359682 data_time: 0.035566 memory: 4565 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.875908 2023/08/08 20:23:47 - mmengine - INFO - Epoch(train) [179][190/529] lr: 5.000000e-05 eta: 1:40:37 time: 0.360860 data_time: 0.035816 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.925184 2023/08/08 20:23:50 - mmengine - INFO - Epoch(train) [179][200/529] lr: 5.000000e-05 eta: 1:40:33 time: 0.360199 data_time: 0.035267 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.929248 2023/08/08 20:23:54 - mmengine - INFO - Epoch(train) [179][210/529] lr: 5.000000e-05 eta: 1:40:30 time: 0.358738 data_time: 0.033881 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.921466 2023/08/08 20:23:58 - mmengine - INFO - Epoch(train) [179][220/529] lr: 5.000000e-05 eta: 1:40:26 time: 0.359422 data_time: 0.033228 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.929341 2023/08/08 20:24:01 - mmengine - INFO - Epoch(train) [179][230/529] lr: 5.000000e-05 eta: 1:40:23 time: 0.361336 data_time: 0.033765 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.920433 2023/08/08 20:24:05 - mmengine - INFO - Epoch(train) [179][240/529] lr: 5.000000e-05 eta: 1:40:19 time: 0.362119 data_time: 0.033378 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.944910 2023/08/08 20:24:08 - mmengine - INFO - Epoch(train) [179][250/529] lr: 5.000000e-05 eta: 1:40:15 time: 0.361445 data_time: 0.033278 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.915172 2023/08/08 20:24:12 - mmengine - INFO - Epoch(train) [179][260/529] lr: 5.000000e-05 eta: 1:40:12 time: 0.360544 data_time: 0.033193 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.907904 2023/08/08 20:24:16 - mmengine - INFO - Epoch(train) [179][270/529] lr: 5.000000e-05 eta: 1:40:08 time: 0.361432 data_time: 0.032624 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.935706 2023/08/08 20:24:19 - mmengine - INFO - Epoch(train) [179][280/529] lr: 5.000000e-05 eta: 1:40:05 time: 0.363979 data_time: 0.035840 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.941931 2023/08/08 20:24:23 - mmengine - INFO - Epoch(train) [179][290/529] lr: 5.000000e-05 eta: 1:40:01 time: 0.362606 data_time: 0.036245 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.869272 2023/08/08 20:24:27 - mmengine - INFO - Epoch(train) [179][300/529] lr: 5.000000e-05 eta: 1:39:57 time: 0.362416 data_time: 0.036215 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.887772 2023/08/08 20:24:30 - mmengine - INFO - Epoch(train) [179][310/529] lr: 5.000000e-05 eta: 1:39:54 time: 0.362668 data_time: 0.036398 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.962497 2023/08/08 20:24:34 - mmengine - INFO - Epoch(train) [179][320/529] lr: 5.000000e-05 eta: 1:39:50 time: 0.360566 data_time: 0.036298 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.916562 2023/08/08 20:24:37 - mmengine - INFO - Epoch(train) [179][330/529] lr: 5.000000e-05 eta: 1:39:46 time: 0.356941 data_time: 0.032633 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.971312 2023/08/08 20:24:41 - mmengine - INFO - Epoch(train) [179][340/529] lr: 5.000000e-05 eta: 1:39:43 time: 0.359790 data_time: 0.032321 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.948768 2023/08/08 20:24:45 - mmengine - INFO - Epoch(train) [179][350/529] lr: 5.000000e-05 eta: 1:39:39 time: 0.362388 data_time: 0.032528 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.926364 2023/08/08 20:24:48 - mmengine - INFO - Epoch(train) [179][360/529] lr: 5.000000e-05 eta: 1:39:36 time: 0.363061 data_time: 0.032308 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.941648 2023/08/08 20:24:52 - mmengine - INFO - Epoch(train) [179][370/529] lr: 5.000000e-05 eta: 1:39:32 time: 0.364162 data_time: 0.032270 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.966303 2023/08/08 20:24:55 - mmengine - INFO - Epoch(train) [179][380/529] lr: 5.000000e-05 eta: 1:39:28 time: 0.364011 data_time: 0.032452 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.960104 2023/08/08 20:24:59 - mmengine - INFO - Epoch(train) [179][390/529] lr: 5.000000e-05 eta: 1:39:25 time: 0.360206 data_time: 0.032338 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.944482 2023/08/08 20:25:03 - mmengine - INFO - Epoch(train) [179][400/529] lr: 5.000000e-05 eta: 1:39:21 time: 0.358591 data_time: 0.032459 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.902845 2023/08/08 20:25:06 - mmengine - INFO - Epoch(train) [179][410/529] lr: 5.000000e-05 eta: 1:39:18 time: 0.358287 data_time: 0.032518 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.949114 2023/08/08 20:25:10 - mmengine - INFO - Epoch(train) [179][420/529] lr: 5.000000e-05 eta: 1:39:14 time: 0.358579 data_time: 0.033009 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.918242 2023/08/08 20:25:13 - mmengine - INFO - Epoch(train) [179][430/529] lr: 5.000000e-05 eta: 1:39:10 time: 0.357229 data_time: 0.032560 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.895050 2023/08/08 20:25:17 - mmengine - INFO - Epoch(train) [179][440/529] lr: 5.000000e-05 eta: 1:39:07 time: 0.356771 data_time: 0.032512 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.939860 2023/08/08 20:25:20 - mmengine - INFO - Epoch(train) [179][450/529] lr: 5.000000e-05 eta: 1:39:03 time: 0.356031 data_time: 0.032205 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.931730 2023/08/08 20:25:24 - mmengine - INFO - Epoch(train) [179][460/529] lr: 5.000000e-05 eta: 1:39:00 time: 0.357055 data_time: 0.032251 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.910351 2023/08/08 20:25:28 - mmengine - INFO - Epoch(train) [179][470/529] lr: 5.000000e-05 eta: 1:38:56 time: 0.355807 data_time: 0.031848 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.937779 2023/08/08 20:25:31 - mmengine - INFO - Epoch(train) [179][480/529] lr: 5.000000e-05 eta: 1:38:52 time: 0.357592 data_time: 0.032107 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.896448 2023/08/08 20:25:35 - mmengine - INFO - Epoch(train) [179][490/529] lr: 5.000000e-05 eta: 1:38:49 time: 0.360968 data_time: 0.036481 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.957732 2023/08/08 20:25:39 - mmengine - INFO - Epoch(train) [179][500/529] lr: 5.000000e-05 eta: 1:38:45 time: 0.362357 data_time: 0.037249 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.967943 2023/08/08 20:25:42 - mmengine - INFO - Epoch(train) [179][510/529] lr: 5.000000e-05 eta: 1:38:42 time: 0.361265 data_time: 0.037870 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.888793 2023/08/08 20:25:46 - mmengine - INFO - Epoch(train) [179][520/529] lr: 5.000000e-05 eta: 1:38:38 time: 0.366698 data_time: 0.038253 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.902380 2023/08/08 20:25:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:25:53 - mmengine - INFO - Epoch(train) [180][ 10/529] lr: 5.000000e-05 eta: 1:38:31 time: 0.365704 data_time: 0.037405 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.936297 2023/08/08 20:25:56 - mmengine - INFO - Epoch(train) [180][ 20/529] lr: 5.000000e-05 eta: 1:38:28 time: 0.364175 data_time: 0.036922 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.962407 2023/08/08 20:26:00 - mmengine - INFO - Epoch(train) [180][ 30/529] lr: 5.000000e-05 eta: 1:38:24 time: 0.363205 data_time: 0.036378 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.911442 2023/08/08 20:26:03 - mmengine - INFO - Epoch(train) [180][ 40/529] lr: 5.000000e-05 eta: 1:38:20 time: 0.356402 data_time: 0.036004 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.966323 2023/08/08 20:26:07 - mmengine - INFO - Epoch(train) [180][ 50/529] lr: 5.000000e-05 eta: 1:38:17 time: 0.358557 data_time: 0.036104 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.924641 2023/08/08 20:26:11 - mmengine - INFO - Epoch(train) [180][ 60/529] lr: 5.000000e-05 eta: 1:38:13 time: 0.353967 data_time: 0.032185 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.978567 2023/08/08 20:26:14 - mmengine - INFO - Epoch(train) [180][ 70/529] lr: 5.000000e-05 eta: 1:38:09 time: 0.353234 data_time: 0.032010 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.916878 2023/08/08 20:26:18 - mmengine - INFO - Epoch(train) [180][ 80/529] lr: 5.000000e-05 eta: 1:38:06 time: 0.355663 data_time: 0.032083 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.966436 2023/08/08 20:26:22 - mmengine - INFO - Epoch(train) [180][ 90/529] lr: 5.000000e-05 eta: 1:38:02 time: 0.364594 data_time: 0.032786 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.964063 2023/08/08 20:26:25 - mmengine - INFO - Epoch(train) [180][100/529] lr: 5.000000e-05 eta: 1:37:59 time: 0.361394 data_time: 0.033124 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.948891 2023/08/08 20:26:29 - mmengine - INFO - Epoch(train) [180][110/529] lr: 5.000000e-05 eta: 1:37:55 time: 0.359534 data_time: 0.033190 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.921654 2023/08/08 20:26:32 - mmengine - INFO - Epoch(train) [180][120/529] lr: 5.000000e-05 eta: 1:37:51 time: 0.361314 data_time: 0.034476 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.957425 2023/08/08 20:26:36 - mmengine - INFO - Epoch(train) [180][130/529] lr: 5.000000e-05 eta: 1:37:48 time: 0.360009 data_time: 0.034260 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.946487 2023/08/08 20:26:40 - mmengine - INFO - Epoch(train) [180][140/529] lr: 5.000000e-05 eta: 1:37:44 time: 0.358941 data_time: 0.033746 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.935045 2023/08/08 20:26:43 - mmengine - INFO - Epoch(train) [180][150/529] lr: 5.000000e-05 eta: 1:37:41 time: 0.364112 data_time: 0.033473 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.959197 2023/08/08 20:26:47 - mmengine - INFO - Epoch(train) [180][160/529] lr: 5.000000e-05 eta: 1:37:37 time: 0.365387 data_time: 0.033268 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.891183 2023/08/08 20:26:50 - mmengine - INFO - Epoch(train) [180][170/529] lr: 5.000000e-05 eta: 1:37:33 time: 0.364528 data_time: 0.031841 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.897050 2023/08/08 20:26:54 - mmengine - INFO - Epoch(train) [180][180/529] lr: 5.000000e-05 eta: 1:37:30 time: 0.365307 data_time: 0.031828 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.919467 2023/08/08 20:26:58 - mmengine - INFO - Epoch(train) [180][190/529] lr: 5.000000e-05 eta: 1:37:26 time: 0.360993 data_time: 0.031775 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.935180 2023/08/08 20:27:01 - mmengine - INFO - Epoch(train) [180][200/529] lr: 5.000000e-05 eta: 1:37:23 time: 0.358860 data_time: 0.031952 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.936105 2023/08/08 20:27:05 - mmengine - INFO - Epoch(train) [180][210/529] lr: 5.000000e-05 eta: 1:37:19 time: 0.359433 data_time: 0.032135 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.938739 2023/08/08 20:27:08 - mmengine - INFO - Epoch(train) [180][220/529] lr: 5.000000e-05 eta: 1:37:15 time: 0.359596 data_time: 0.032261 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.935802 2023/08/08 20:27:12 - mmengine - INFO - Epoch(train) [180][230/529] lr: 5.000000e-05 eta: 1:37:12 time: 0.358974 data_time: 0.032224 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.931660 2023/08/08 20:27:16 - mmengine - INFO - Epoch(train) [180][240/529] lr: 5.000000e-05 eta: 1:37:08 time: 0.357437 data_time: 0.032183 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.950314 2023/08/08 20:27:19 - mmengine - INFO - Epoch(train) [180][250/529] lr: 5.000000e-05 eta: 1:37:04 time: 0.357389 data_time: 0.032016 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.921628 2023/08/08 20:27:23 - mmengine - INFO - Epoch(train) [180][260/529] lr: 5.000000e-05 eta: 1:37:01 time: 0.357537 data_time: 0.031948 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.903247 2023/08/08 20:27:27 - mmengine - INFO - Epoch(train) [180][270/529] lr: 5.000000e-05 eta: 1:36:57 time: 0.362124 data_time: 0.032147 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.942100 2023/08/08 20:27:30 - mmengine - INFO - Epoch(train) [180][280/529] lr: 5.000000e-05 eta: 1:36:54 time: 0.361331 data_time: 0.032059 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.979524 2023/08/08 20:27:34 - mmengine - INFO - Epoch(train) [180][290/529] lr: 5.000000e-05 eta: 1:36:50 time: 0.361004 data_time: 0.031872 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.945775 2023/08/08 20:27:37 - mmengine - INFO - Epoch(train) [180][300/529] lr: 5.000000e-05 eta: 1:36:46 time: 0.360759 data_time: 0.031873 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.902055 2023/08/08 20:27:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:27:41 - mmengine - INFO - Epoch(train) [180][310/529] lr: 5.000000e-05 eta: 1:36:43 time: 0.362346 data_time: 0.031877 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.938716 2023/08/08 20:27:45 - mmengine - INFO - Epoch(train) [180][320/529] lr: 5.000000e-05 eta: 1:36:39 time: 0.358409 data_time: 0.031712 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.920818 2023/08/08 20:27:48 - mmengine - INFO - Epoch(train) [180][330/529] lr: 5.000000e-05 eta: 1:36:36 time: 0.361170 data_time: 0.032273 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.932595 2023/08/08 20:27:52 - mmengine - INFO - Epoch(train) [180][340/529] lr: 5.000000e-05 eta: 1:36:32 time: 0.361019 data_time: 0.032451 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.923539 2023/08/08 20:27:55 - mmengine - INFO - Epoch(train) [180][350/529] lr: 5.000000e-05 eta: 1:36:28 time: 0.363816 data_time: 0.036258 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.954942 2023/08/08 20:27:59 - mmengine - INFO - Epoch(train) [180][360/529] lr: 5.000000e-05 eta: 1:36:25 time: 0.361768 data_time: 0.036200 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.922163 2023/08/08 20:28:03 - mmengine - INFO - Epoch(train) [180][370/529] lr: 5.000000e-05 eta: 1:36:21 time: 0.362432 data_time: 0.036260 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.927655 2023/08/08 20:28:06 - mmengine - INFO - Epoch(train) [180][380/529] lr: 5.000000e-05 eta: 1:36:18 time: 0.362318 data_time: 0.036458 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.910221 2023/08/08 20:28:10 - mmengine - INFO - Epoch(train) [180][390/529] lr: 5.000000e-05 eta: 1:36:14 time: 0.364437 data_time: 0.036510 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.893615 2023/08/08 20:28:14 - mmengine - INFO - Epoch(train) [180][400/529] lr: 5.000000e-05 eta: 1:36:10 time: 0.366499 data_time: 0.032930 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.922334 2023/08/08 20:28:17 - mmengine - INFO - Epoch(train) [180][410/529] lr: 5.000000e-05 eta: 1:36:07 time: 0.366602 data_time: 0.033090 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.949263 2023/08/08 20:28:21 - mmengine - INFO - Epoch(train) [180][420/529] lr: 5.000000e-05 eta: 1:36:03 time: 0.365631 data_time: 0.033107 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.921583 2023/08/08 20:28:25 - mmengine - INFO - Epoch(train) [180][430/529] lr: 5.000000e-05 eta: 1:36:00 time: 0.363514 data_time: 0.032392 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.892009 2023/08/08 20:28:28 - mmengine - INFO - Epoch(train) [180][440/529] lr: 5.000000e-05 eta: 1:35:56 time: 0.363540 data_time: 0.032395 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.912260 2023/08/08 20:28:32 - mmengine - INFO - Epoch(train) [180][450/529] lr: 5.000000e-05 eta: 1:35:52 time: 0.362759 data_time: 0.032991 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.922646 2023/08/08 20:28:36 - mmengine - INFO - Epoch(train) [180][460/529] lr: 5.000000e-05 eta: 1:35:49 time: 0.363818 data_time: 0.033128 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.940063 2023/08/08 20:28:39 - mmengine - INFO - Epoch(train) [180][470/529] lr: 5.000000e-05 eta: 1:35:45 time: 0.363889 data_time: 0.033032 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.941777 2023/08/08 20:28:43 - mmengine - INFO - Epoch(train) [180][480/529] lr: 5.000000e-05 eta: 1:35:42 time: 0.363947 data_time: 0.033073 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.913098 2023/08/08 20:28:46 - mmengine - INFO - Epoch(train) [180][490/529] lr: 5.000000e-05 eta: 1:35:38 time: 0.361503 data_time: 0.032789 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.929792 2023/08/08 20:28:50 - mmengine - INFO - Epoch(train) [180][500/529] lr: 5.000000e-05 eta: 1:35:34 time: 0.358251 data_time: 0.032035 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.912766 2023/08/08 20:28:53 - mmengine - INFO - Epoch(train) [180][510/529] lr: 5.000000e-05 eta: 1:35:31 time: 0.356924 data_time: 0.031814 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.911767 2023/08/08 20:28:57 - mmengine - INFO - Epoch(train) [180][520/529] lr: 5.000000e-05 eta: 1:35:27 time: 0.359492 data_time: 0.031990 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.928659 2023/08/08 20:29:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:29:00 - mmengine - INFO - Saving checkpoint at 180 epochs 2023/08/08 20:29:06 - mmengine - INFO - Epoch(val) [180][ 10/127] eta: 0:00:24 time: 0.202881 data_time: 0.017273 memory: 4565 2023/08/08 20:29:08 - mmengine - INFO - Epoch(val) [180][ 20/127] eta: 0:00:21 time: 0.202434 data_time: 0.017011 memory: 1634 2023/08/08 20:29:10 - mmengine - INFO - Epoch(val) [180][ 30/127] eta: 0:00:19 time: 0.202209 data_time: 0.016838 memory: 1634 2023/08/08 20:29:12 - mmengine - INFO - Epoch(val) [180][ 40/127] eta: 0:00:17 time: 0.198533 data_time: 0.013177 memory: 1634 2023/08/08 20:29:14 - mmengine - INFO - Epoch(val) [180][ 50/127] eta: 0:00:15 time: 0.200295 data_time: 0.013250 memory: 1634 2023/08/08 20:29:16 - mmengine - INFO - Epoch(val) [180][ 60/127] eta: 0:00:13 time: 0.198041 data_time: 0.011373 memory: 1634 2023/08/08 20:29:18 - mmengine - INFO - Epoch(val) [180][ 70/127] eta: 0:00:11 time: 0.198162 data_time: 0.011446 memory: 1634 2023/08/08 20:29:20 - mmengine - INFO - Epoch(val) [180][ 80/127] eta: 0:00:09 time: 0.198250 data_time: 0.011513 memory: 1634 2023/08/08 20:29:22 - mmengine - INFO - Epoch(val) [180][ 90/127] eta: 0:00:07 time: 0.198222 data_time: 0.011556 memory: 1634 2023/08/08 20:29:24 - mmengine - INFO - Epoch(val) [180][100/127] eta: 0:00:05 time: 0.197755 data_time: 0.011307 memory: 1634 2023/08/08 20:29:26 - mmengine - INFO - Epoch(val) [180][110/127] eta: 0:00:03 time: 0.197813 data_time: 0.011312 memory: 1634 2023/08/08 20:29:28 - mmengine - INFO - Epoch(val) [180][120/127] eta: 0:00:01 time: 0.197751 data_time: 0.011260 memory: 1634 2023/08/08 20:29:30 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 20:29:30 - mmengine - INFO - Evaluating AUC... 2023/08/08 20:29:30 - mmengine - INFO - Evaluating EPE... 2023/08/08 20:29:30 - mmengine - INFO - Epoch(val) [180][127/127] PCK: 0.983153 AUC: 0.675827 EPE: 11.550692 data_time: 0.011995 time: 0.197342 2023/08/08 20:29:30 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192/best_AUC_epoch_120.pth is removed 2023/08/08 20:29:32 - mmengine - INFO - The best checkpoint with 0.6758 AUC at 180 epoch is saved to best_AUC_epoch_180.pth. 2023/08/08 20:29:40 - mmengine - INFO - Epoch(train) [181][ 10/529] lr: 5.000000e-05 eta: 1:35:20 time: 0.364540 data_time: 0.036253 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.895167 2023/08/08 20:29:44 - mmengine - INFO - Epoch(train) [181][ 20/529] lr: 5.000000e-05 eta: 1:35:17 time: 0.365364 data_time: 0.036867 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.954473 2023/08/08 20:29:47 - mmengine - INFO - Epoch(train) [181][ 30/529] lr: 5.000000e-05 eta: 1:35:13 time: 0.365201 data_time: 0.036721 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.912760 2023/08/08 20:29:51 - mmengine - INFO - Epoch(train) [181][ 40/529] lr: 5.000000e-05 eta: 1:35:10 time: 0.362581 data_time: 0.036456 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.924320 2023/08/08 20:29:54 - mmengine - INFO - Epoch(train) [181][ 50/529] lr: 5.000000e-05 eta: 1:35:06 time: 0.363347 data_time: 0.036647 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.951848 2023/08/08 20:29:58 - mmengine - INFO - Epoch(train) [181][ 60/529] lr: 5.000000e-05 eta: 1:35:02 time: 0.357781 data_time: 0.032297 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.948265 2023/08/08 20:30:02 - mmengine - INFO - Epoch(train) [181][ 70/529] lr: 5.000000e-05 eta: 1:34:59 time: 0.355658 data_time: 0.031894 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.948371 2023/08/08 20:30:05 - mmengine - INFO - Epoch(train) [181][ 80/529] lr: 5.000000e-05 eta: 1:34:55 time: 0.358157 data_time: 0.032092 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.940280 2023/08/08 20:30:09 - mmengine - INFO - Epoch(train) [181][ 90/529] lr: 5.000000e-05 eta: 1:34:51 time: 0.361748 data_time: 0.032258 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.940930 2023/08/08 20:30:13 - mmengine - INFO - Epoch(train) [181][100/529] lr: 5.000000e-05 eta: 1:34:48 time: 0.364167 data_time: 0.032480 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.943501 2023/08/08 20:30:17 - mmengine - INFO - Epoch(train) [181][110/529] lr: 5.000000e-05 eta: 1:34:44 time: 0.368729 data_time: 0.036058 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.928018 2023/08/08 20:30:20 - mmengine - INFO - Epoch(train) [181][120/529] lr: 5.000000e-05 eta: 1:34:41 time: 0.373498 data_time: 0.035949 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.935403 2023/08/08 20:30:24 - mmengine - INFO - Epoch(train) [181][130/529] lr: 5.000000e-05 eta: 1:34:37 time: 0.374005 data_time: 0.035901 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.911443 2023/08/08 20:30:28 - mmengine - INFO - Epoch(train) [181][140/529] lr: 5.000000e-05 eta: 1:34:34 time: 0.372965 data_time: 0.036013 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.991629 2023/08/08 20:30:31 - mmengine - INFO - Epoch(train) [181][150/529] lr: 5.000000e-05 eta: 1:34:30 time: 0.372399 data_time: 0.036038 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.889267 2023/08/08 20:30:35 - mmengine - INFO - Epoch(train) [181][160/529] lr: 5.000000e-05 eta: 1:34:26 time: 0.370912 data_time: 0.035685 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.919608 2023/08/08 20:30:39 - mmengine - INFO - Epoch(train) [181][170/529] lr: 5.000000e-05 eta: 1:34:23 time: 0.366430 data_time: 0.035517 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.950375 2023/08/08 20:30:42 - mmengine - INFO - Epoch(train) [181][180/529] lr: 5.000000e-05 eta: 1:34:19 time: 0.364650 data_time: 0.035454 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.954719 2023/08/08 20:30:46 - mmengine - INFO - Epoch(train) [181][190/529] lr: 5.000000e-05 eta: 1:34:16 time: 0.364904 data_time: 0.035198 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.918313 2023/08/08 20:30:50 - mmengine - INFO - Epoch(train) [181][200/529] lr: 5.000000e-05 eta: 1:34:12 time: 0.364656 data_time: 0.034966 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.910110 2023/08/08 20:30:53 - mmengine - INFO - Epoch(train) [181][210/529] lr: 5.000000e-05 eta: 1:34:08 time: 0.363091 data_time: 0.032044 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.935873 2023/08/08 20:30:57 - mmengine - INFO - Epoch(train) [181][220/529] lr: 5.000000e-05 eta: 1:34:05 time: 0.362665 data_time: 0.032369 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.955342 2023/08/08 20:31:00 - mmengine - INFO - Epoch(train) [181][230/529] lr: 5.000000e-05 eta: 1:34:01 time: 0.361640 data_time: 0.032288 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.961581 2023/08/08 20:31:04 - mmengine - INFO - Epoch(train) [181][240/529] lr: 5.000000e-05 eta: 1:33:58 time: 0.362563 data_time: 0.032379 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.950291 2023/08/08 20:31:08 - mmengine - INFO - Epoch(train) [181][250/529] lr: 5.000000e-05 eta: 1:33:54 time: 0.362090 data_time: 0.032480 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.903956 2023/08/08 20:31:12 - mmengine - INFO - Epoch(train) [181][260/529] lr: 5.000000e-05 eta: 1:33:50 time: 0.367863 data_time: 0.032167 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.926639 2023/08/08 20:31:15 - mmengine - INFO - Epoch(train) [181][270/529] lr: 5.000000e-05 eta: 1:33:47 time: 0.371057 data_time: 0.032055 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.903205 2023/08/08 20:31:19 - mmengine - INFO - Epoch(train) [181][280/529] lr: 5.000000e-05 eta: 1:33:43 time: 0.370999 data_time: 0.032172 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.926576 2023/08/08 20:31:22 - mmengine - INFO - Epoch(train) [181][290/529] lr: 5.000000e-05 eta: 1:33:40 time: 0.367429 data_time: 0.032045 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.912700 2023/08/08 20:31:26 - mmengine - INFO - Epoch(train) [181][300/529] lr: 5.000000e-05 eta: 1:33:36 time: 0.369641 data_time: 0.032189 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.977760 2023/08/08 20:31:30 - mmengine - INFO - Epoch(train) [181][310/529] lr: 5.000000e-05 eta: 1:33:32 time: 0.365797 data_time: 0.032160 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.949037 2023/08/08 20:31:34 - mmengine - INFO - Epoch(train) [181][320/529] lr: 5.000000e-05 eta: 1:33:29 time: 0.363471 data_time: 0.032281 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.939063 2023/08/08 20:31:37 - mmengine - INFO - Epoch(train) [181][330/529] lr: 5.000000e-05 eta: 1:33:25 time: 0.365821 data_time: 0.032546 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.949802 2023/08/08 20:31:41 - mmengine - INFO - Epoch(train) [181][340/529] lr: 5.000000e-05 eta: 1:33:22 time: 0.366849 data_time: 0.032626 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.909820 2023/08/08 20:31:44 - mmengine - INFO - Epoch(train) [181][350/529] lr: 5.000000e-05 eta: 1:33:18 time: 0.363460 data_time: 0.032415 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.919056 2023/08/08 20:31:48 - mmengine - INFO - Epoch(train) [181][360/529] lr: 5.000000e-05 eta: 1:33:14 time: 0.361048 data_time: 0.032296 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.934480 2023/08/08 20:31:52 - mmengine - INFO - Epoch(train) [181][370/529] lr: 5.000000e-05 eta: 1:33:11 time: 0.360377 data_time: 0.031904 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.943474 2023/08/08 20:31:55 - mmengine - INFO - Epoch(train) [181][380/529] lr: 5.000000e-05 eta: 1:33:07 time: 0.360082 data_time: 0.031723 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.971494 2023/08/08 20:31:59 - mmengine - INFO - Epoch(train) [181][390/529] lr: 5.000000e-05 eta: 1:33:04 time: 0.361178 data_time: 0.032053 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.947643 2023/08/08 20:32:02 - mmengine - INFO - Epoch(train) [181][400/529] lr: 5.000000e-05 eta: 1:33:00 time: 0.361963 data_time: 0.032325 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.951519 2023/08/08 20:32:06 - mmengine - INFO - Epoch(train) [181][410/529] lr: 5.000000e-05 eta: 1:32:56 time: 0.359692 data_time: 0.032426 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.928586 2023/08/08 20:32:10 - mmengine - INFO - Epoch(train) [181][420/529] lr: 5.000000e-05 eta: 1:32:53 time: 0.359910 data_time: 0.033205 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.897732 2023/08/08 20:32:13 - mmengine - INFO - Epoch(train) [181][430/529] lr: 5.000000e-05 eta: 1:32:49 time: 0.358732 data_time: 0.033726 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.966249 2023/08/08 20:32:17 - mmengine - INFO - Epoch(train) [181][440/529] lr: 5.000000e-05 eta: 1:32:46 time: 0.363903 data_time: 0.037649 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.919654 2023/08/08 20:32:21 - mmengine - INFO - Epoch(train) [181][450/529] lr: 5.000000e-05 eta: 1:32:42 time: 0.363527 data_time: 0.037345 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.893376 2023/08/08 20:32:24 - mmengine - INFO - Epoch(train) [181][460/529] lr: 5.000000e-05 eta: 1:32:38 time: 0.365211 data_time: 0.037657 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.971444 2023/08/08 20:32:28 - mmengine - INFO - Epoch(train) [181][470/529] lr: 5.000000e-05 eta: 1:32:35 time: 0.366064 data_time: 0.037703 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.926187 2023/08/08 20:32:32 - mmengine - INFO - Epoch(train) [181][480/529] lr: 5.000000e-05 eta: 1:32:31 time: 0.372168 data_time: 0.037707 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.969206 2023/08/08 20:32:35 - mmengine - INFO - Epoch(train) [181][490/529] lr: 5.000000e-05 eta: 1:32:28 time: 0.364841 data_time: 0.033382 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.942782 2023/08/08 20:32:39 - mmengine - INFO - Epoch(train) [181][500/529] lr: 5.000000e-05 eta: 1:32:24 time: 0.365442 data_time: 0.033964 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.928629 2023/08/08 20:32:43 - mmengine - INFO - Epoch(train) [181][510/529] lr: 5.000000e-05 eta: 1:32:20 time: 0.364311 data_time: 0.033552 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.904698 2023/08/08 20:32:46 - mmengine - INFO - Epoch(train) [181][520/529] lr: 5.000000e-05 eta: 1:32:17 time: 0.367155 data_time: 0.033679 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.939831 2023/08/08 20:32:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:32:53 - mmengine - INFO - Epoch(train) [182][ 10/529] lr: 5.000000e-05 eta: 1:32:10 time: 0.367302 data_time: 0.036360 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.886125 2023/08/08 20:32:57 - mmengine - INFO - Epoch(train) [182][ 20/529] lr: 5.000000e-05 eta: 1:32:06 time: 0.366042 data_time: 0.036374 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.914104 2023/08/08 20:33:01 - mmengine - INFO - Epoch(train) [182][ 30/529] lr: 5.000000e-05 eta: 1:32:03 time: 0.366664 data_time: 0.037303 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.931214 2023/08/08 20:33:04 - mmengine - INFO - Epoch(train) [182][ 40/529] lr: 5.000000e-05 eta: 1:31:59 time: 0.364387 data_time: 0.037017 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.919120 2023/08/08 20:33:08 - mmengine - INFO - Epoch(train) [182][ 50/529] lr: 5.000000e-05 eta: 1:31:55 time: 0.363757 data_time: 0.037857 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.941243 2023/08/08 20:33:11 - mmengine - INFO - Epoch(train) [182][ 60/529] lr: 5.000000e-05 eta: 1:31:52 time: 0.358331 data_time: 0.034077 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.933640 2023/08/08 20:33:15 - mmengine - INFO - Epoch(train) [182][ 70/529] lr: 5.000000e-05 eta: 1:31:48 time: 0.358665 data_time: 0.033562 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.857662 2023/08/08 20:33:18 - mmengine - INFO - Epoch(train) [182][ 80/529] lr: 5.000000e-05 eta: 1:31:45 time: 0.357200 data_time: 0.032666 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.964881 2023/08/08 20:33:22 - mmengine - INFO - Epoch(train) [182][ 90/529] lr: 5.000000e-05 eta: 1:31:41 time: 0.359822 data_time: 0.032191 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.916990 2023/08/08 20:33:26 - mmengine - INFO - Epoch(train) [182][100/529] lr: 5.000000e-05 eta: 1:31:37 time: 0.360102 data_time: 0.032430 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.961283 2023/08/08 20:33:30 - mmengine - INFO - Epoch(train) [182][110/529] lr: 5.000000e-05 eta: 1:31:34 time: 0.366083 data_time: 0.033309 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.886307 2023/08/08 20:33:33 - mmengine - INFO - Epoch(train) [182][120/529] lr: 5.000000e-05 eta: 1:31:30 time: 0.367655 data_time: 0.033588 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.932962 2023/08/08 20:33:37 - mmengine - INFO - Epoch(train) [182][130/529] lr: 5.000000e-05 eta: 1:31:27 time: 0.367999 data_time: 0.033594 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.936956 2023/08/08 20:33:41 - mmengine - INFO - Epoch(train) [182][140/529] lr: 5.000000e-05 eta: 1:31:23 time: 0.366723 data_time: 0.033866 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.914309 2023/08/08 20:33:44 - mmengine - INFO - Epoch(train) [182][150/529] lr: 5.000000e-05 eta: 1:31:19 time: 0.365169 data_time: 0.033358 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.967969 2023/08/08 20:33:48 - mmengine - INFO - Epoch(train) [182][160/529] lr: 5.000000e-05 eta: 1:31:16 time: 0.363669 data_time: 0.032837 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.938111 2023/08/08 20:33:51 - mmengine - INFO - Epoch(train) [182][170/529] lr: 5.000000e-05 eta: 1:31:12 time: 0.362665 data_time: 0.032528 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.955690 2023/08/08 20:33:55 - mmengine - INFO - Epoch(train) [182][180/529] lr: 5.000000e-05 eta: 1:31:09 time: 0.365726 data_time: 0.032813 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.941540 2023/08/08 20:33:59 - mmengine - INFO - Epoch(train) [182][190/529] lr: 5.000000e-05 eta: 1:31:05 time: 0.363048 data_time: 0.032512 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.955351 2023/08/08 20:34:02 - mmengine - INFO - Epoch(train) [182][200/529] lr: 5.000000e-05 eta: 1:31:01 time: 0.363025 data_time: 0.032529 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.917756 2023/08/08 20:34:06 - mmengine - INFO - Epoch(train) [182][210/529] lr: 5.000000e-05 eta: 1:30:58 time: 0.358141 data_time: 0.032141 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.949733 2023/08/08 20:34:09 - mmengine - INFO - Epoch(train) [182][220/529] lr: 5.000000e-05 eta: 1:30:54 time: 0.357871 data_time: 0.032273 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.928250 2023/08/08 20:34:13 - mmengine - INFO - Epoch(train) [182][230/529] lr: 5.000000e-05 eta: 1:30:51 time: 0.360604 data_time: 0.032221 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.922965 2023/08/08 20:34:17 - mmengine - INFO - Epoch(train) [182][240/529] lr: 5.000000e-05 eta: 1:30:47 time: 0.365217 data_time: 0.032780 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.938260 2023/08/08 20:34:21 - mmengine - INFO - Epoch(train) [182][250/529] lr: 5.000000e-05 eta: 1:30:43 time: 0.368877 data_time: 0.033107 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.937248 2023/08/08 20:34:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:34:24 - mmengine - INFO - Epoch(train) [182][260/529] lr: 5.000000e-05 eta: 1:30:40 time: 0.369253 data_time: 0.033097 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.956240 2023/08/08 20:34:28 - mmengine - INFO - Epoch(train) [182][270/529] lr: 5.000000e-05 eta: 1:30:36 time: 0.368633 data_time: 0.032952 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.924219 2023/08/08 20:34:31 - mmengine - INFO - Epoch(train) [182][280/529] lr: 5.000000e-05 eta: 1:30:33 time: 0.363193 data_time: 0.032944 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.866013 2023/08/08 20:34:35 - mmengine - INFO - Epoch(train) [182][290/529] lr: 5.000000e-05 eta: 1:30:29 time: 0.360185 data_time: 0.032460 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.894211 2023/08/08 20:34:39 - mmengine - INFO - Epoch(train) [182][300/529] lr: 5.000000e-05 eta: 1:30:25 time: 0.356677 data_time: 0.032153 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.929952 2023/08/08 20:34:42 - mmengine - INFO - Epoch(train) [182][310/529] lr: 5.000000e-05 eta: 1:30:22 time: 0.357960 data_time: 0.032794 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.981047 2023/08/08 20:34:46 - mmengine - INFO - Epoch(train) [182][320/529] lr: 5.000000e-05 eta: 1:30:18 time: 0.358378 data_time: 0.033493 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.975538 2023/08/08 20:34:49 - mmengine - INFO - Epoch(train) [182][330/529] lr: 5.000000e-05 eta: 1:30:15 time: 0.357808 data_time: 0.033305 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.939307 2023/08/08 20:34:53 - mmengine - INFO - Epoch(train) [182][340/529] lr: 5.000000e-05 eta: 1:30:11 time: 0.358583 data_time: 0.033372 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.964610 2023/08/08 20:34:57 - mmengine - INFO - Epoch(train) [182][350/529] lr: 5.000000e-05 eta: 1:30:07 time: 0.359324 data_time: 0.033729 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.903750 2023/08/08 20:35:00 - mmengine - INFO - Epoch(train) [182][360/529] lr: 5.000000e-05 eta: 1:30:04 time: 0.361560 data_time: 0.033037 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.919532 2023/08/08 20:35:04 - mmengine - INFO - Epoch(train) [182][370/529] lr: 5.000000e-05 eta: 1:30:00 time: 0.363670 data_time: 0.032577 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.890732 2023/08/08 20:35:08 - mmengine - INFO - Epoch(train) [182][380/529] lr: 5.000000e-05 eta: 1:29:57 time: 0.367378 data_time: 0.032487 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.953432 2023/08/08 20:35:11 - mmengine - INFO - Epoch(train) [182][390/529] lr: 5.000000e-05 eta: 1:29:53 time: 0.365175 data_time: 0.032263 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.910878 2023/08/08 20:35:15 - mmengine - INFO - Epoch(train) [182][400/529] lr: 5.000000e-05 eta: 1:29:49 time: 0.363896 data_time: 0.032104 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.940618 2023/08/08 20:35:18 - mmengine - INFO - Epoch(train) [182][410/529] lr: 5.000000e-05 eta: 1:29:46 time: 0.361314 data_time: 0.032052 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.931996 2023/08/08 20:35:22 - mmengine - INFO - Epoch(train) [182][420/529] lr: 5.000000e-05 eta: 1:29:42 time: 0.360534 data_time: 0.031984 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.914479 2023/08/08 20:35:26 - mmengine - INFO - Epoch(train) [182][430/529] lr: 5.000000e-05 eta: 1:29:38 time: 0.359354 data_time: 0.031965 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.938070 2023/08/08 20:35:29 - mmengine - INFO - Epoch(train) [182][440/529] lr: 5.000000e-05 eta: 1:29:35 time: 0.360202 data_time: 0.032257 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.938332 2023/08/08 20:35:33 - mmengine - INFO - Epoch(train) [182][450/529] lr: 5.000000e-05 eta: 1:29:31 time: 0.360708 data_time: 0.032090 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.924339 2023/08/08 20:35:36 - mmengine - INFO - Epoch(train) [182][460/529] lr: 5.000000e-05 eta: 1:29:28 time: 0.359812 data_time: 0.032149 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.917837 2023/08/08 20:35:40 - mmengine - INFO - Epoch(train) [182][470/529] lr: 5.000000e-05 eta: 1:29:24 time: 0.358791 data_time: 0.032127 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.923384 2023/08/08 20:35:44 - mmengine - INFO - Epoch(train) [182][480/529] lr: 5.000000e-05 eta: 1:29:20 time: 0.361417 data_time: 0.032801 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.950752 2023/08/08 20:35:47 - mmengine - INFO - Epoch(train) [182][490/529] lr: 5.000000e-05 eta: 1:29:17 time: 0.361576 data_time: 0.033135 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.931277 2023/08/08 20:35:51 - mmengine - INFO - Epoch(train) [182][500/529] lr: 5.000000e-05 eta: 1:29:13 time: 0.363189 data_time: 0.033330 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.905304 2023/08/08 20:35:55 - mmengine - INFO - Epoch(train) [182][510/529] lr: 5.000000e-05 eta: 1:29:10 time: 0.363520 data_time: 0.033261 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.943699 2023/08/08 20:35:58 - mmengine - INFO - Epoch(train) [182][520/529] lr: 5.000000e-05 eta: 1:29:06 time: 0.362625 data_time: 0.033053 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.912128 2023/08/08 20:36:02 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:36:05 - mmengine - INFO - Epoch(train) [183][ 10/529] lr: 5.000000e-05 eta: 1:28:59 time: 0.365406 data_time: 0.036101 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.922896 2023/08/08 20:36:09 - mmengine - INFO - Epoch(train) [183][ 20/529] lr: 5.000000e-05 eta: 1:28:56 time: 0.363807 data_time: 0.036177 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.950090 2023/08/08 20:36:13 - mmengine - INFO - Epoch(train) [183][ 30/529] lr: 5.000000e-05 eta: 1:28:52 time: 0.366132 data_time: 0.036787 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.909389 2023/08/08 20:36:16 - mmengine - INFO - Epoch(train) [183][ 40/529] lr: 5.000000e-05 eta: 1:28:48 time: 0.364963 data_time: 0.037002 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.958168 2023/08/08 20:36:19 - mmengine - INFO - Epoch(train) [183][ 50/529] lr: 5.000000e-05 eta: 1:28:45 time: 0.358935 data_time: 0.037229 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.954364 2023/08/08 20:36:23 - mmengine - INFO - Epoch(train) [183][ 60/529] lr: 5.000000e-05 eta: 1:28:41 time: 0.358885 data_time: 0.032626 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.921575 2023/08/08 20:36:27 - mmengine - INFO - Epoch(train) [183][ 70/529] lr: 5.000000e-05 eta: 1:28:38 time: 0.365896 data_time: 0.032835 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.898770 2023/08/08 20:36:31 - mmengine - INFO - Epoch(train) [183][ 80/529] lr: 5.000000e-05 eta: 1:28:34 time: 0.365928 data_time: 0.032569 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.952196 2023/08/08 20:36:34 - mmengine - INFO - Epoch(train) [183][ 90/529] lr: 5.000000e-05 eta: 1:28:30 time: 0.367433 data_time: 0.032664 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.931357 2023/08/08 20:36:38 - mmengine - INFO - Epoch(train) [183][100/529] lr: 5.000000e-05 eta: 1:28:27 time: 0.368795 data_time: 0.032825 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.907418 2023/08/08 20:36:41 - mmengine - INFO - Epoch(train) [183][110/529] lr: 5.000000e-05 eta: 1:28:23 time: 0.363023 data_time: 0.032840 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.961663 2023/08/08 20:36:45 - mmengine - INFO - Epoch(train) [183][120/529] lr: 5.000000e-05 eta: 1:28:20 time: 0.354573 data_time: 0.032395 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.889442 2023/08/08 20:36:48 - mmengine - INFO - Epoch(train) [183][130/529] lr: 5.000000e-05 eta: 1:28:16 time: 0.351534 data_time: 0.032074 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.934546 2023/08/08 20:36:52 - mmengine - INFO - Epoch(train) [183][140/529] lr: 5.000000e-05 eta: 1:28:12 time: 0.351769 data_time: 0.032199 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.942795 2023/08/08 20:36:56 - mmengine - INFO - Epoch(train) [183][150/529] lr: 5.000000e-05 eta: 1:28:09 time: 0.354980 data_time: 0.032297 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.957205 2023/08/08 20:36:59 - mmengine - INFO - Epoch(train) [183][160/529] lr: 5.000000e-05 eta: 1:28:05 time: 0.359508 data_time: 0.036040 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.937180 2023/08/08 20:37:03 - mmengine - INFO - Epoch(train) [183][170/529] lr: 5.000000e-05 eta: 1:28:01 time: 0.362894 data_time: 0.039820 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.931379 2023/08/08 20:37:07 - mmengine - INFO - Epoch(train) [183][180/529] lr: 5.000000e-05 eta: 1:27:58 time: 0.361602 data_time: 0.039652 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.955111 2023/08/08 20:37:10 - mmengine - INFO - Epoch(train) [183][190/529] lr: 5.000000e-05 eta: 1:27:54 time: 0.359987 data_time: 0.039311 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.930053 2023/08/08 20:37:14 - mmengine - INFO - Epoch(train) [183][200/529] lr: 5.000000e-05 eta: 1:27:51 time: 0.356674 data_time: 0.039611 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.937080 2023/08/08 20:37:17 - mmengine - INFO - Epoch(train) [183][210/529] lr: 5.000000e-05 eta: 1:27:47 time: 0.353392 data_time: 0.036108 memory: 4565 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.906756 2023/08/08 20:37:21 - mmengine - INFO - Epoch(train) [183][220/529] lr: 5.000000e-05 eta: 1:27:43 time: 0.352019 data_time: 0.032496 memory: 4565 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.932004 2023/08/08 20:37:24 - mmengine - INFO - Epoch(train) [183][230/529] lr: 5.000000e-05 eta: 1:27:40 time: 0.351954 data_time: 0.032603 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.965118 2023/08/08 20:37:28 - mmengine - INFO - Epoch(train) [183][240/529] lr: 5.000000e-05 eta: 1:27:36 time: 0.352137 data_time: 0.032623 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.956393 2023/08/08 20:37:31 - mmengine - INFO - Epoch(train) [183][250/529] lr: 5.000000e-05 eta: 1:27:33 time: 0.351243 data_time: 0.032688 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.901788 2023/08/08 20:37:35 - mmengine - INFO - Epoch(train) [183][260/529] lr: 5.000000e-05 eta: 1:27:29 time: 0.350041 data_time: 0.032828 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.974396 2023/08/08 20:37:38 - mmengine - INFO - Epoch(train) [183][270/529] lr: 5.000000e-05 eta: 1:27:25 time: 0.355373 data_time: 0.033091 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.930133 2023/08/08 20:37:42 - mmengine - INFO - Epoch(train) [183][280/529] lr: 5.000000e-05 eta: 1:27:22 time: 0.357816 data_time: 0.033188 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.920588 2023/08/08 20:37:46 - mmengine - INFO - Epoch(train) [183][290/529] lr: 5.000000e-05 eta: 1:27:18 time: 0.361096 data_time: 0.033473 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.917045 2023/08/08 20:37:49 - mmengine - INFO - Epoch(train) [183][300/529] lr: 5.000000e-05 eta: 1:27:14 time: 0.363687 data_time: 0.033006 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.932446 2023/08/08 20:37:53 - mmengine - INFO - Epoch(train) [183][310/529] lr: 5.000000e-05 eta: 1:27:11 time: 0.363300 data_time: 0.032554 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.899998 2023/08/08 20:37:56 - mmengine - INFO - Epoch(train) [183][320/529] lr: 5.000000e-05 eta: 1:27:07 time: 0.355503 data_time: 0.031895 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.919460 2023/08/08 20:38:00 - mmengine - INFO - Epoch(train) [183][330/529] lr: 5.000000e-05 eta: 1:27:04 time: 0.357331 data_time: 0.035447 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.938906 2023/08/08 20:38:03 - mmengine - INFO - Epoch(train) [183][340/529] lr: 5.000000e-05 eta: 1:27:00 time: 0.354773 data_time: 0.035379 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.967070 2023/08/08 20:38:07 - mmengine - INFO - Epoch(train) [183][350/529] lr: 5.000000e-05 eta: 1:26:56 time: 0.353558 data_time: 0.035854 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.969213 2023/08/08 20:38:11 - mmengine - INFO - Epoch(train) [183][360/529] lr: 5.000000e-05 eta: 1:26:53 time: 0.353785 data_time: 0.035979 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.980091 2023/08/08 20:38:14 - mmengine - INFO - Epoch(train) [183][370/529] lr: 5.000000e-05 eta: 1:26:49 time: 0.354349 data_time: 0.036070 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.920211 2023/08/08 20:38:17 - mmengine - INFO - Epoch(train) [183][380/529] lr: 5.000000e-05 eta: 1:26:46 time: 0.349648 data_time: 0.032366 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.962654 2023/08/08 20:38:21 - mmengine - INFO - Epoch(train) [183][390/529] lr: 5.000000e-05 eta: 1:26:42 time: 0.348963 data_time: 0.032018 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.897203 2023/08/08 20:38:25 - mmengine - INFO - Epoch(train) [183][400/529] lr: 5.000000e-05 eta: 1:26:38 time: 0.349132 data_time: 0.032337 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.927437 2023/08/08 20:38:28 - mmengine - INFO - Epoch(train) [183][410/529] lr: 5.000000e-05 eta: 1:26:35 time: 0.351397 data_time: 0.032434 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.969618 2023/08/08 20:38:32 - mmengine - INFO - Epoch(train) [183][420/529] lr: 5.000000e-05 eta: 1:26:31 time: 0.352950 data_time: 0.032759 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.940486 2023/08/08 20:38:35 - mmengine - INFO - Epoch(train) [183][430/529] lr: 5.000000e-05 eta: 1:26:27 time: 0.353538 data_time: 0.033043 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.950573 2023/08/08 20:38:39 - mmengine - INFO - Epoch(train) [183][440/529] lr: 5.000000e-05 eta: 1:26:24 time: 0.353983 data_time: 0.033375 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.944050 2023/08/08 20:38:42 - mmengine - INFO - Epoch(train) [183][450/529] lr: 5.000000e-05 eta: 1:26:20 time: 0.355921 data_time: 0.032639 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.956703 2023/08/08 20:38:46 - mmengine - INFO - Epoch(train) [183][460/529] lr: 5.000000e-05 eta: 1:26:17 time: 0.356361 data_time: 0.032948 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.917950 2023/08/08 20:38:49 - mmengine - INFO - Epoch(train) [183][470/529] lr: 5.000000e-05 eta: 1:26:13 time: 0.355285 data_time: 0.032954 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.933954 2023/08/08 20:38:53 - mmengine - INFO - Epoch(train) [183][480/529] lr: 5.000000e-05 eta: 1:26:09 time: 0.357459 data_time: 0.033535 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.929973 2023/08/08 20:38:57 - mmengine - INFO - Epoch(train) [183][490/529] lr: 5.000000e-05 eta: 1:26:06 time: 0.357129 data_time: 0.034429 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.905108 2023/08/08 20:39:00 - mmengine - INFO - Epoch(train) [183][500/529] lr: 5.000000e-05 eta: 1:26:02 time: 0.357361 data_time: 0.038337 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.949472 2023/08/08 20:39:04 - mmengine - INFO - Epoch(train) [183][510/529] lr: 5.000000e-05 eta: 1:25:59 time: 0.354897 data_time: 0.037724 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.945926 2023/08/08 20:39:07 - mmengine - INFO - Epoch(train) [183][520/529] lr: 5.000000e-05 eta: 1:25:55 time: 0.355125 data_time: 0.037454 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.961623 2023/08/08 20:39:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:39:14 - mmengine - INFO - Epoch(train) [184][ 10/529] lr: 5.000000e-05 eta: 1:25:48 time: 0.360243 data_time: 0.039275 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.936316 2023/08/08 20:39:18 - mmengine - INFO - Epoch(train) [184][ 20/529] lr: 5.000000e-05 eta: 1:25:44 time: 0.358985 data_time: 0.035551 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.909956 2023/08/08 20:39:21 - mmengine - INFO - Epoch(train) [184][ 30/529] lr: 5.000000e-05 eta: 1:25:41 time: 0.360506 data_time: 0.035742 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.947040 2023/08/08 20:39:25 - mmengine - INFO - Epoch(train) [184][ 40/529] lr: 5.000000e-05 eta: 1:25:37 time: 0.362290 data_time: 0.035782 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.905785 2023/08/08 20:39:29 - mmengine - INFO - Epoch(train) [184][ 50/529] lr: 5.000000e-05 eta: 1:25:34 time: 0.364206 data_time: 0.036597 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.944434 2023/08/08 20:39:32 - mmengine - INFO - Epoch(train) [184][ 60/529] lr: 5.000000e-05 eta: 1:25:30 time: 0.362698 data_time: 0.032846 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.977847 2023/08/08 20:39:36 - mmengine - INFO - Epoch(train) [184][ 70/529] lr: 5.000000e-05 eta: 1:25:26 time: 0.365222 data_time: 0.033100 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.951660 2023/08/08 20:39:40 - mmengine - INFO - Epoch(train) [184][ 80/529] lr: 5.000000e-05 eta: 1:25:23 time: 0.369589 data_time: 0.033670 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.881104 2023/08/08 20:39:43 - mmengine - INFO - Epoch(train) [184][ 90/529] lr: 5.000000e-05 eta: 1:25:19 time: 0.368829 data_time: 0.033943 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.948616 2023/08/08 20:39:47 - mmengine - INFO - Epoch(train) [184][100/529] lr: 5.000000e-05 eta: 1:25:16 time: 0.370174 data_time: 0.033715 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.909884 2023/08/08 20:39:51 - mmengine - INFO - Epoch(train) [184][110/529] lr: 5.000000e-05 eta: 1:25:12 time: 0.366000 data_time: 0.033020 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.941054 2023/08/08 20:39:54 - mmengine - INFO - Epoch(train) [184][120/529] lr: 5.000000e-05 eta: 1:25:08 time: 0.364293 data_time: 0.032759 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.889497 2023/08/08 20:39:58 - mmengine - INFO - Epoch(train) [184][130/529] lr: 5.000000e-05 eta: 1:25:05 time: 0.360440 data_time: 0.032249 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.951259 2023/08/08 20:40:02 - mmengine - INFO - Epoch(train) [184][140/529] lr: 5.000000e-05 eta: 1:25:01 time: 0.361733 data_time: 0.032152 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.912794 2023/08/08 20:40:05 - mmengine - INFO - Epoch(train) [184][150/529] lr: 5.000000e-05 eta: 1:24:58 time: 0.360017 data_time: 0.032391 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.933789 2023/08/08 20:40:09 - mmengine - INFO - Epoch(train) [184][160/529] lr: 5.000000e-05 eta: 1:24:54 time: 0.358536 data_time: 0.032425 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.951974 2023/08/08 20:40:12 - mmengine - INFO - Epoch(train) [184][170/529] lr: 5.000000e-05 eta: 1:24:50 time: 0.356929 data_time: 0.032271 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.969723 2023/08/08 20:40:16 - mmengine - INFO - Epoch(train) [184][180/529] lr: 5.000000e-05 eta: 1:24:47 time: 0.357844 data_time: 0.032316 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.937789 2023/08/08 20:40:20 - mmengine - INFO - Epoch(train) [184][190/529] lr: 5.000000e-05 eta: 1:24:43 time: 0.360636 data_time: 0.032518 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.963684 2023/08/08 20:40:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:40:23 - mmengine - INFO - Epoch(train) [184][200/529] lr: 5.000000e-05 eta: 1:24:40 time: 0.363316 data_time: 0.032693 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.935165 2023/08/08 20:40:27 - mmengine - INFO - Epoch(train) [184][210/529] lr: 5.000000e-05 eta: 1:24:36 time: 0.364076 data_time: 0.032765 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.951678 2023/08/08 20:40:30 - mmengine - INFO - Epoch(train) [184][220/529] lr: 5.000000e-05 eta: 1:24:32 time: 0.363873 data_time: 0.032672 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.944682 2023/08/08 20:40:34 - mmengine - INFO - Epoch(train) [184][230/529] lr: 5.000000e-05 eta: 1:24:29 time: 0.362191 data_time: 0.032429 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.947230 2023/08/08 20:40:38 - mmengine - INFO - Epoch(train) [184][240/529] lr: 5.000000e-05 eta: 1:24:25 time: 0.359193 data_time: 0.032161 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.942551 2023/08/08 20:40:41 - mmengine - INFO - Epoch(train) [184][250/529] lr: 5.000000e-05 eta: 1:24:22 time: 0.361613 data_time: 0.031981 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.897745 2023/08/08 20:40:45 - mmengine - INFO - Epoch(train) [184][260/529] lr: 5.000000e-05 eta: 1:24:18 time: 0.363948 data_time: 0.032090 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.934732 2023/08/08 20:40:49 - mmengine - INFO - Epoch(train) [184][270/529] lr: 5.000000e-05 eta: 1:24:14 time: 0.366570 data_time: 0.032561 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.974499 2023/08/08 20:40:52 - mmengine - INFO - Epoch(train) [184][280/529] lr: 5.000000e-05 eta: 1:24:11 time: 0.367374 data_time: 0.032646 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.924479 2023/08/08 20:40:56 - mmengine - INFO - Epoch(train) [184][290/529] lr: 5.000000e-05 eta: 1:24:07 time: 0.366131 data_time: 0.032529 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.942227 2023/08/08 20:40:59 - mmengine - INFO - Epoch(train) [184][300/529] lr: 5.000000e-05 eta: 1:24:04 time: 0.360990 data_time: 0.032325 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.870766 2023/08/08 20:41:03 - mmengine - INFO - Epoch(train) [184][310/529] lr: 5.000000e-05 eta: 1:24:00 time: 0.359805 data_time: 0.032305 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.908571 2023/08/08 20:41:07 - mmengine - INFO - Epoch(train) [184][320/529] lr: 5.000000e-05 eta: 1:23:56 time: 0.358917 data_time: 0.032052 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.953823 2023/08/08 20:41:11 - mmengine - INFO - Epoch(train) [184][330/529] lr: 5.000000e-05 eta: 1:23:53 time: 0.362495 data_time: 0.032297 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.914480 2023/08/08 20:41:14 - mmengine - INFO - Epoch(train) [184][340/529] lr: 5.000000e-05 eta: 1:23:49 time: 0.363834 data_time: 0.032368 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.946578 2023/08/08 20:41:18 - mmengine - INFO - Epoch(train) [184][350/529] lr: 5.000000e-05 eta: 1:23:46 time: 0.364668 data_time: 0.032393 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.912803 2023/08/08 20:41:21 - mmengine - INFO - Epoch(train) [184][360/529] lr: 5.000000e-05 eta: 1:23:42 time: 0.362877 data_time: 0.032206 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.940153 2023/08/08 20:41:25 - mmengine - INFO - Epoch(train) [184][370/529] lr: 5.000000e-05 eta: 1:23:38 time: 0.361924 data_time: 0.032115 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.938564 2023/08/08 20:41:28 - mmengine - INFO - Epoch(train) [184][380/529] lr: 5.000000e-05 eta: 1:23:35 time: 0.358327 data_time: 0.031854 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.946927 2023/08/08 20:41:32 - mmengine - INFO - Epoch(train) [184][390/529] lr: 5.000000e-05 eta: 1:23:31 time: 0.362356 data_time: 0.036036 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.916298 2023/08/08 20:41:36 - mmengine - INFO - Epoch(train) [184][400/529] lr: 5.000000e-05 eta: 1:23:28 time: 0.362253 data_time: 0.036045 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.931084 2023/08/08 20:41:39 - mmengine - INFO - Epoch(train) [184][410/529] lr: 5.000000e-05 eta: 1:23:24 time: 0.362458 data_time: 0.036081 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.949622 2023/08/08 20:41:43 - mmengine - INFO - Epoch(train) [184][420/529] lr: 5.000000e-05 eta: 1:23:20 time: 0.366287 data_time: 0.036939 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.911284 2023/08/08 20:41:47 - mmengine - INFO - Epoch(train) [184][430/529] lr: 5.000000e-05 eta: 1:23:17 time: 0.367324 data_time: 0.037159 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.929810 2023/08/08 20:41:50 - mmengine - INFO - Epoch(train) [184][440/529] lr: 5.000000e-05 eta: 1:23:13 time: 0.363752 data_time: 0.033377 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.910189 2023/08/08 20:41:54 - mmengine - INFO - Epoch(train) [184][450/529] lr: 5.000000e-05 eta: 1:23:09 time: 0.365423 data_time: 0.033591 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.939168 2023/08/08 20:41:58 - mmengine - INFO - Epoch(train) [184][460/529] lr: 5.000000e-05 eta: 1:23:06 time: 0.366269 data_time: 0.033661 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.951483 2023/08/08 20:42:01 - mmengine - INFO - Epoch(train) [184][470/529] lr: 5.000000e-05 eta: 1:23:02 time: 0.362090 data_time: 0.032950 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.923429 2023/08/08 20:42:05 - mmengine - INFO - Epoch(train) [184][480/529] lr: 5.000000e-05 eta: 1:22:59 time: 0.360535 data_time: 0.032636 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.927178 2023/08/08 20:42:08 - mmengine - INFO - Epoch(train) [184][490/529] lr: 5.000000e-05 eta: 1:22:55 time: 0.359584 data_time: 0.032255 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.955707 2023/08/08 20:42:12 - mmengine - INFO - Epoch(train) [184][500/529] lr: 5.000000e-05 eta: 1:22:51 time: 0.362711 data_time: 0.032653 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.909445 2023/08/08 20:42:16 - mmengine - INFO - Epoch(train) [184][510/529] lr: 5.000000e-05 eta: 1:22:48 time: 0.365582 data_time: 0.033189 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.926358 2023/08/08 20:42:20 - mmengine - INFO - Epoch(train) [184][520/529] lr: 5.000000e-05 eta: 1:22:44 time: 0.366768 data_time: 0.033273 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.959569 2023/08/08 20:42:23 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:42:27 - mmengine - INFO - Epoch(train) [185][ 10/529] lr: 5.000000e-05 eta: 1:22:37 time: 0.369458 data_time: 0.038048 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.963021 2023/08/08 20:42:30 - mmengine - INFO - Epoch(train) [185][ 20/529] lr: 5.000000e-05 eta: 1:22:34 time: 0.362282 data_time: 0.037536 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.935697 2023/08/08 20:42:34 - mmengine - INFO - Epoch(train) [185][ 30/529] lr: 5.000000e-05 eta: 1:22:30 time: 0.358635 data_time: 0.037070 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.952629 2023/08/08 20:42:37 - mmengine - INFO - Epoch(train) [185][ 40/529] lr: 5.000000e-05 eta: 1:22:27 time: 0.359266 data_time: 0.037326 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.891342 2023/08/08 20:42:41 - mmengine - INFO - Epoch(train) [185][ 50/529] lr: 5.000000e-05 eta: 1:22:23 time: 0.363049 data_time: 0.037689 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.925116 2023/08/08 20:42:45 - mmengine - INFO - Epoch(train) [185][ 60/529] lr: 5.000000e-05 eta: 1:22:19 time: 0.371053 data_time: 0.036887 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.944028 2023/08/08 20:42:49 - mmengine - INFO - Epoch(train) [185][ 70/529] lr: 5.000000e-05 eta: 1:22:16 time: 0.380963 data_time: 0.037503 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.900648 2023/08/08 20:42:53 - mmengine - INFO - Epoch(train) [185][ 80/529] lr: 5.000000e-05 eta: 1:22:12 time: 0.388860 data_time: 0.037441 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.906835 2023/08/08 20:42:57 - mmengine - INFO - Epoch(train) [185][ 90/529] lr: 5.000000e-05 eta: 1:22:09 time: 0.388526 data_time: 0.037068 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.905142 2023/08/08 20:43:00 - mmengine - INFO - Epoch(train) [185][100/529] lr: 5.000000e-05 eta: 1:22:05 time: 0.384590 data_time: 0.036716 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.934480 2023/08/08 20:43:04 - mmengine - INFO - Epoch(train) [185][110/529] lr: 5.000000e-05 eta: 1:22:02 time: 0.374713 data_time: 0.033098 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.958942 2023/08/08 20:43:07 - mmengine - INFO - Epoch(train) [185][120/529] lr: 5.000000e-05 eta: 1:21:58 time: 0.365096 data_time: 0.033005 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.945509 2023/08/08 20:43:11 - mmengine - INFO - Epoch(train) [185][130/529] lr: 5.000000e-05 eta: 1:21:54 time: 0.358566 data_time: 0.032657 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.930642 2023/08/08 20:43:15 - mmengine - INFO - Epoch(train) [185][140/529] lr: 5.000000e-05 eta: 1:21:51 time: 0.356387 data_time: 0.032763 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.908705 2023/08/08 20:43:18 - mmengine - INFO - Epoch(train) [185][150/529] lr: 5.000000e-05 eta: 1:21:47 time: 0.355997 data_time: 0.032763 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.963189 2023/08/08 20:43:22 - mmengine - INFO - Epoch(train) [185][160/529] lr: 5.000000e-05 eta: 1:21:43 time: 0.357445 data_time: 0.036337 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.930215 2023/08/08 20:43:25 - mmengine - INFO - Epoch(train) [185][170/529] lr: 5.000000e-05 eta: 1:21:40 time: 0.358609 data_time: 0.036121 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.958348 2023/08/08 20:43:29 - mmengine - INFO - Epoch(train) [185][180/529] lr: 5.000000e-05 eta: 1:21:36 time: 0.356797 data_time: 0.037055 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.952272 2023/08/08 20:43:32 - mmengine - INFO - Epoch(train) [185][190/529] lr: 5.000000e-05 eta: 1:21:33 time: 0.355087 data_time: 0.036748 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.947396 2023/08/08 20:43:36 - mmengine - INFO - Epoch(train) [185][200/529] lr: 5.000000e-05 eta: 1:21:29 time: 0.354128 data_time: 0.036751 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.937845 2023/08/08 20:43:39 - mmengine - INFO - Epoch(train) [185][210/529] lr: 5.000000e-05 eta: 1:21:25 time: 0.352134 data_time: 0.032915 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.947272 2023/08/08 20:43:43 - mmengine - INFO - Epoch(train) [185][220/529] lr: 5.000000e-05 eta: 1:21:22 time: 0.352310 data_time: 0.032805 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.914830 2023/08/08 20:43:47 - mmengine - INFO - Epoch(train) [185][230/529] lr: 5.000000e-05 eta: 1:21:18 time: 0.354951 data_time: 0.031907 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.941133 2023/08/08 20:43:50 - mmengine - INFO - Epoch(train) [185][240/529] lr: 5.000000e-05 eta: 1:21:15 time: 0.357127 data_time: 0.032307 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.924829 2023/08/08 20:43:54 - mmengine - INFO - Epoch(train) [185][250/529] lr: 5.000000e-05 eta: 1:21:11 time: 0.357593 data_time: 0.032357 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.912714 2023/08/08 20:43:57 - mmengine - INFO - Epoch(train) [185][260/529] lr: 5.000000e-05 eta: 1:21:07 time: 0.355497 data_time: 0.032427 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.880013 2023/08/08 20:44:01 - mmengine - INFO - Epoch(train) [185][270/529] lr: 5.000000e-05 eta: 1:21:04 time: 0.354024 data_time: 0.032181 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.934372 2023/08/08 20:44:04 - mmengine - INFO - Epoch(train) [185][280/529] lr: 5.000000e-05 eta: 1:21:00 time: 0.350983 data_time: 0.032219 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.919973 2023/08/08 20:44:08 - mmengine - INFO - Epoch(train) [185][290/529] lr: 5.000000e-05 eta: 1:20:56 time: 0.349767 data_time: 0.032170 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.919183 2023/08/08 20:44:11 - mmengine - INFO - Epoch(train) [185][300/529] lr: 5.000000e-05 eta: 1:20:53 time: 0.351619 data_time: 0.032480 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.915491 2023/08/08 20:44:15 - mmengine - INFO - Epoch(train) [185][310/529] lr: 5.000000e-05 eta: 1:20:49 time: 0.352705 data_time: 0.032361 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.926649 2023/08/08 20:44:18 - mmengine - INFO - Epoch(train) [185][320/529] lr: 5.000000e-05 eta: 1:20:46 time: 0.352538 data_time: 0.032450 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.934391 2023/08/08 20:44:22 - mmengine - INFO - Epoch(train) [185][330/529] lr: 5.000000e-05 eta: 1:20:42 time: 0.351146 data_time: 0.032375 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.926864 2023/08/08 20:44:25 - mmengine - INFO - Epoch(train) [185][340/529] lr: 5.000000e-05 eta: 1:20:38 time: 0.350930 data_time: 0.031980 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.930174 2023/08/08 20:44:29 - mmengine - INFO - Epoch(train) [185][350/529] lr: 5.000000e-05 eta: 1:20:35 time: 0.351065 data_time: 0.031687 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.941117 2023/08/08 20:44:32 - mmengine - INFO - Epoch(train) [185][360/529] lr: 5.000000e-05 eta: 1:20:31 time: 0.350038 data_time: 0.031760 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.971631 2023/08/08 20:44:36 - mmengine - INFO - Epoch(train) [185][370/529] lr: 5.000000e-05 eta: 1:20:27 time: 0.352777 data_time: 0.032049 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.929525 2023/08/08 20:44:39 - mmengine - INFO - Epoch(train) [185][380/529] lr: 5.000000e-05 eta: 1:20:24 time: 0.353335 data_time: 0.032200 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.932213 2023/08/08 20:44:43 - mmengine - INFO - Epoch(train) [185][390/529] lr: 5.000000e-05 eta: 1:20:20 time: 0.356190 data_time: 0.032278 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.930511 2023/08/08 20:44:47 - mmengine - INFO - Epoch(train) [185][400/529] lr: 5.000000e-05 eta: 1:20:17 time: 0.359325 data_time: 0.032163 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.966166 2023/08/08 20:44:50 - mmengine - INFO - Epoch(train) [185][410/529] lr: 5.000000e-05 eta: 1:20:13 time: 0.361292 data_time: 0.032343 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.922881 2023/08/08 20:44:54 - mmengine - INFO - Epoch(train) [185][420/529] lr: 5.000000e-05 eta: 1:20:09 time: 0.360112 data_time: 0.031928 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.958608 2023/08/08 20:44:58 - mmengine - INFO - Epoch(train) [185][430/529] lr: 5.000000e-05 eta: 1:20:06 time: 0.363994 data_time: 0.032160 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.945254 2023/08/08 20:45:01 - mmengine - INFO - Epoch(train) [185][440/529] lr: 5.000000e-05 eta: 1:20:02 time: 0.363303 data_time: 0.032944 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.951067 2023/08/08 20:45:05 - mmengine - INFO - Epoch(train) [185][450/529] lr: 5.000000e-05 eta: 1:19:59 time: 0.360583 data_time: 0.033359 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.924756 2023/08/08 20:45:08 - mmengine - INFO - Epoch(train) [185][460/529] lr: 5.000000e-05 eta: 1:19:55 time: 0.359404 data_time: 0.033037 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.933322 2023/08/08 20:45:12 - mmengine - INFO - Epoch(train) [185][470/529] lr: 5.000000e-05 eta: 1:19:51 time: 0.360308 data_time: 0.033286 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.959569 2023/08/08 20:45:16 - mmengine - INFO - Epoch(train) [185][480/529] lr: 5.000000e-05 eta: 1:19:48 time: 0.359341 data_time: 0.033140 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.892043 2023/08/08 20:45:19 - mmengine - INFO - Epoch(train) [185][490/529] lr: 5.000000e-05 eta: 1:19:44 time: 0.359315 data_time: 0.032384 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.970480 2023/08/08 20:45:23 - mmengine - INFO - Epoch(train) [185][500/529] lr: 5.000000e-05 eta: 1:19:41 time: 0.360258 data_time: 0.032108 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.874678 2023/08/08 20:45:27 - mmengine - INFO - Epoch(train) [185][510/529] lr: 5.000000e-05 eta: 1:19:37 time: 0.367868 data_time: 0.032609 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.966944 2023/08/08 20:45:31 - mmengine - INFO - Epoch(train) [185][520/529] lr: 5.000000e-05 eta: 1:19:33 time: 0.370122 data_time: 0.032409 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.910152 2023/08/08 20:45:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:45:38 - mmengine - INFO - Epoch(train) [186][ 10/529] lr: 5.000000e-05 eta: 1:19:27 time: 0.371355 data_time: 0.036190 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.950209 2023/08/08 20:45:41 - mmengine - INFO - Epoch(train) [186][ 20/529] lr: 5.000000e-05 eta: 1:19:23 time: 0.372851 data_time: 0.036462 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.895926 2023/08/08 20:45:45 - mmengine - INFO - Epoch(train) [186][ 30/529] lr: 5.000000e-05 eta: 1:19:19 time: 0.364892 data_time: 0.036104 memory: 4565 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.983391 2023/08/08 20:45:48 - mmengine - INFO - Epoch(train) [186][ 40/529] lr: 5.000000e-05 eta: 1:19:16 time: 0.359867 data_time: 0.035942 memory: 4565 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.868793 2023/08/08 20:45:52 - mmengine - INFO - Epoch(train) [186][ 50/529] lr: 5.000000e-05 eta: 1:19:12 time: 0.363258 data_time: 0.040478 memory: 4565 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.944326 2023/08/08 20:45:55 - mmengine - INFO - Epoch(train) [186][ 60/529] lr: 5.000000e-05 eta: 1:19:09 time: 0.358735 data_time: 0.036118 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.963120 2023/08/08 20:45:59 - mmengine - INFO - Epoch(train) [186][ 70/529] lr: 5.000000e-05 eta: 1:19:05 time: 0.355170 data_time: 0.036402 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.961434 2023/08/08 20:46:03 - mmengine - INFO - Epoch(train) [186][ 80/529] lr: 5.000000e-05 eta: 1:19:01 time: 0.355556 data_time: 0.036359 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.927498 2023/08/08 20:46:06 - mmengine - INFO - Epoch(train) [186][ 90/529] lr: 5.000000e-05 eta: 1:18:58 time: 0.357350 data_time: 0.036614 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.933768 2023/08/08 20:46:10 - mmengine - INFO - Epoch(train) [186][100/529] lr: 5.000000e-05 eta: 1:18:54 time: 0.354014 data_time: 0.032856 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.910031 2023/08/08 20:46:13 - mmengine - INFO - Epoch(train) [186][110/529] lr: 5.000000e-05 eta: 1:18:50 time: 0.351942 data_time: 0.032406 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.908030 2023/08/08 20:46:17 - mmengine - INFO - Epoch(train) [186][120/529] lr: 5.000000e-05 eta: 1:18:47 time: 0.356133 data_time: 0.031973 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.917107 2023/08/08 20:46:20 - mmengine - INFO - Epoch(train) [186][130/529] lr: 5.000000e-05 eta: 1:18:43 time: 0.356739 data_time: 0.031932 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.940742 2023/08/08 20:46:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:46:24 - mmengine - INFO - Epoch(train) [186][140/529] lr: 5.000000e-05 eta: 1:18:40 time: 0.357005 data_time: 0.031964 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.943606 2023/08/08 20:46:28 - mmengine - INFO - Epoch(train) [186][150/529] lr: 5.000000e-05 eta: 1:18:36 time: 0.357226 data_time: 0.031869 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.933854 2023/08/08 20:46:31 - mmengine - INFO - Epoch(train) [186][160/529] lr: 5.000000e-05 eta: 1:18:32 time: 0.362830 data_time: 0.032336 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.967371 2023/08/08 20:46:35 - mmengine - INFO - Epoch(train) [186][170/529] lr: 5.000000e-05 eta: 1:18:29 time: 0.357832 data_time: 0.032461 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.880084 2023/08/08 20:46:38 - mmengine - INFO - Epoch(train) [186][180/529] lr: 5.000000e-05 eta: 1:18:25 time: 0.355105 data_time: 0.032492 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.865223 2023/08/08 20:46:42 - mmengine - INFO - Epoch(train) [186][190/529] lr: 5.000000e-05 eta: 1:18:22 time: 0.352695 data_time: 0.032355 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.945357 2023/08/08 20:46:45 - mmengine - INFO - Epoch(train) [186][200/529] lr: 5.000000e-05 eta: 1:18:18 time: 0.353759 data_time: 0.032660 memory: 4565 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.901161 2023/08/08 20:46:49 - mmengine - INFO - Epoch(train) [186][210/529] lr: 5.000000e-05 eta: 1:18:14 time: 0.354842 data_time: 0.032870 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.960834 2023/08/08 20:46:53 - mmengine - INFO - Epoch(train) [186][220/529] lr: 5.000000e-05 eta: 1:18:11 time: 0.364300 data_time: 0.036758 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.936398 2023/08/08 20:46:57 - mmengine - INFO - Epoch(train) [186][230/529] lr: 5.000000e-05 eta: 1:18:07 time: 0.366017 data_time: 0.037341 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.928901 2023/08/08 20:47:00 - mmengine - INFO - Epoch(train) [186][240/529] lr: 5.000000e-05 eta: 1:18:04 time: 0.367243 data_time: 0.037911 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.931483 2023/08/08 20:47:04 - mmengine - INFO - Epoch(train) [186][250/529] lr: 5.000000e-05 eta: 1:18:00 time: 0.369153 data_time: 0.039483 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.944787 2023/08/08 20:47:07 - mmengine - INFO - Epoch(train) [186][260/529] lr: 5.000000e-05 eta: 1:17:56 time: 0.365262 data_time: 0.039153 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.947833 2023/08/08 20:47:11 - mmengine - INFO - Epoch(train) [186][270/529] lr: 5.000000e-05 eta: 1:17:53 time: 0.362265 data_time: 0.035418 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.945151 2023/08/08 20:47:15 - mmengine - INFO - Epoch(train) [186][280/529] lr: 5.000000e-05 eta: 1:17:49 time: 0.363615 data_time: 0.035029 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.903519 2023/08/08 20:47:18 - mmengine - INFO - Epoch(train) [186][290/529] lr: 5.000000e-05 eta: 1:17:46 time: 0.365462 data_time: 0.034750 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.917986 2023/08/08 20:47:22 - mmengine - INFO - Epoch(train) [186][300/529] lr: 5.000000e-05 eta: 1:17:42 time: 0.363703 data_time: 0.033017 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.975898 2023/08/08 20:47:25 - mmengine - INFO - Epoch(train) [186][310/529] lr: 5.000000e-05 eta: 1:17:38 time: 0.362231 data_time: 0.032730 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.898001 2023/08/08 20:47:29 - mmengine - INFO - Epoch(train) [186][320/529] lr: 5.000000e-05 eta: 1:17:35 time: 0.357861 data_time: 0.032608 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.898393 2023/08/08 20:47:33 - mmengine - INFO - Epoch(train) [186][330/529] lr: 5.000000e-05 eta: 1:17:31 time: 0.358953 data_time: 0.032847 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.897716 2023/08/08 20:47:36 - mmengine - INFO - Epoch(train) [186][340/529] lr: 5.000000e-05 eta: 1:17:28 time: 0.359895 data_time: 0.032869 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.945166 2023/08/08 20:47:40 - mmengine - INFO - Epoch(train) [186][350/529] lr: 5.000000e-05 eta: 1:17:24 time: 0.362379 data_time: 0.033045 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.898750 2023/08/08 20:47:44 - mmengine - INFO - Epoch(train) [186][360/529] lr: 5.000000e-05 eta: 1:17:20 time: 0.362685 data_time: 0.033119 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.927547 2023/08/08 20:47:47 - mmengine - INFO - Epoch(train) [186][370/529] lr: 5.000000e-05 eta: 1:17:17 time: 0.362320 data_time: 0.032782 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.969542 2023/08/08 20:47:51 - mmengine - INFO - Epoch(train) [186][380/529] lr: 5.000000e-05 eta: 1:17:13 time: 0.359320 data_time: 0.032226 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.949352 2023/08/08 20:47:54 - mmengine - INFO - Epoch(train) [186][390/529] lr: 5.000000e-05 eta: 1:17:09 time: 0.358268 data_time: 0.032080 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.912434 2023/08/08 20:47:58 - mmengine - INFO - Epoch(train) [186][400/529] lr: 5.000000e-05 eta: 1:17:06 time: 0.355972 data_time: 0.032093 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.878907 2023/08/08 20:48:02 - mmengine - INFO - Epoch(train) [186][410/529] lr: 5.000000e-05 eta: 1:17:02 time: 0.361835 data_time: 0.036162 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.916476 2023/08/08 20:48:05 - mmengine - INFO - Epoch(train) [186][420/529] lr: 5.000000e-05 eta: 1:16:59 time: 0.362437 data_time: 0.036530 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.963027 2023/08/08 20:48:09 - mmengine - INFO - Epoch(train) [186][430/529] lr: 5.000000e-05 eta: 1:16:55 time: 0.362901 data_time: 0.036609 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.952775 2023/08/08 20:48:13 - mmengine - INFO - Epoch(train) [186][440/529] lr: 5.000000e-05 eta: 1:16:51 time: 0.365092 data_time: 0.036674 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.949313 2023/08/08 20:48:16 - mmengine - INFO - Epoch(train) [186][450/529] lr: 5.000000e-05 eta: 1:16:48 time: 0.366786 data_time: 0.036849 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.915923 2023/08/08 20:48:20 - mmengine - INFO - Epoch(train) [186][460/529] lr: 5.000000e-05 eta: 1:16:44 time: 0.362397 data_time: 0.032759 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.958743 2023/08/08 20:48:23 - mmengine - INFO - Epoch(train) [186][470/529] lr: 5.000000e-05 eta: 1:16:41 time: 0.363376 data_time: 0.032512 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.938937 2023/08/08 20:48:27 - mmengine - INFO - Epoch(train) [186][480/529] lr: 5.000000e-05 eta: 1:16:37 time: 0.365064 data_time: 0.032819 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.915460 2023/08/08 20:48:31 - mmengine - INFO - Epoch(train) [186][490/529] lr: 5.000000e-05 eta: 1:16:33 time: 0.362692 data_time: 0.032912 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.913360 2023/08/08 20:48:34 - mmengine - INFO - Epoch(train) [186][500/529] lr: 5.000000e-05 eta: 1:16:30 time: 0.361352 data_time: 0.032793 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.932439 2023/08/08 20:48:38 - mmengine - INFO - Epoch(train) [186][510/529] lr: 5.000000e-05 eta: 1:16:26 time: 0.359811 data_time: 0.032741 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.913759 2023/08/08 20:48:41 - mmengine - INFO - Epoch(train) [186][520/529] lr: 5.000000e-05 eta: 1:16:23 time: 0.360048 data_time: 0.033100 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.942070 2023/08/08 20:48:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:48:49 - mmengine - INFO - Epoch(train) [187][ 10/529] lr: 5.000000e-05 eta: 1:16:16 time: 0.364393 data_time: 0.037119 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.923008 2023/08/08 20:48:52 - mmengine - INFO - Epoch(train) [187][ 20/529] lr: 5.000000e-05 eta: 1:16:12 time: 0.365870 data_time: 0.036837 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.916316 2023/08/08 20:48:56 - mmengine - INFO - Epoch(train) [187][ 30/529] lr: 5.000000e-05 eta: 1:16:09 time: 0.367477 data_time: 0.037051 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.944759 2023/08/08 20:49:00 - mmengine - INFO - Epoch(train) [187][ 40/529] lr: 5.000000e-05 eta: 1:16:05 time: 0.367119 data_time: 0.036766 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.913269 2023/08/08 20:49:03 - mmengine - INFO - Epoch(train) [187][ 50/529] lr: 5.000000e-05 eta: 1:16:01 time: 0.369918 data_time: 0.036994 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.950778 2023/08/08 20:49:07 - mmengine - INFO - Epoch(train) [187][ 60/529] lr: 5.000000e-05 eta: 1:15:58 time: 0.362256 data_time: 0.032086 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.917192 2023/08/08 20:49:11 - mmengine - INFO - Epoch(train) [187][ 70/529] lr: 5.000000e-05 eta: 1:15:54 time: 0.364921 data_time: 0.032312 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.937877 2023/08/08 20:49:14 - mmengine - INFO - Epoch(train) [187][ 80/529] lr: 5.000000e-05 eta: 1:15:51 time: 0.364329 data_time: 0.032433 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.928078 2023/08/08 20:49:18 - mmengine - INFO - Epoch(train) [187][ 90/529] lr: 5.000000e-05 eta: 1:15:47 time: 0.370862 data_time: 0.032571 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.956162 2023/08/08 20:49:22 - mmengine - INFO - Epoch(train) [187][100/529] lr: 5.000000e-05 eta: 1:15:43 time: 0.369108 data_time: 0.032661 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.938356 2023/08/08 20:49:25 - mmengine - INFO - Epoch(train) [187][110/529] lr: 5.000000e-05 eta: 1:15:40 time: 0.369647 data_time: 0.033043 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.941044 2023/08/08 20:49:29 - mmengine - INFO - Epoch(train) [187][120/529] lr: 5.000000e-05 eta: 1:15:36 time: 0.365624 data_time: 0.032884 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.949630 2023/08/08 20:49:32 - mmengine - INFO - Epoch(train) [187][130/529] lr: 5.000000e-05 eta: 1:15:33 time: 0.366648 data_time: 0.032589 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.896286 2023/08/08 20:49:36 - mmengine - INFO - Epoch(train) [187][140/529] lr: 5.000000e-05 eta: 1:15:29 time: 0.360552 data_time: 0.032431 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.939421 2023/08/08 20:49:40 - mmengine - INFO - Epoch(train) [187][150/529] lr: 5.000000e-05 eta: 1:15:25 time: 0.362241 data_time: 0.032563 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.946051 2023/08/08 20:49:43 - mmengine - INFO - Epoch(train) [187][160/529] lr: 5.000000e-05 eta: 1:15:22 time: 0.362624 data_time: 0.032648 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.920779 2023/08/08 20:49:47 - mmengine - INFO - Epoch(train) [187][170/529] lr: 5.000000e-05 eta: 1:15:18 time: 0.364076 data_time: 0.033184 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.924474 2023/08/08 20:49:51 - mmengine - INFO - Epoch(train) [187][180/529] lr: 5.000000e-05 eta: 1:15:15 time: 0.365922 data_time: 0.033225 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.943384 2023/08/08 20:49:54 - mmengine - INFO - Epoch(train) [187][190/529] lr: 5.000000e-05 eta: 1:15:11 time: 0.365811 data_time: 0.033213 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.835901 2023/08/08 20:49:58 - mmengine - INFO - Epoch(train) [187][200/529] lr: 5.000000e-05 eta: 1:15:07 time: 0.366595 data_time: 0.033083 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.933692 2023/08/08 20:50:02 - mmengine - INFO - Epoch(train) [187][210/529] lr: 5.000000e-05 eta: 1:15:04 time: 0.365604 data_time: 0.032652 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.961283 2023/08/08 20:50:05 - mmengine - INFO - Epoch(train) [187][220/529] lr: 5.000000e-05 eta: 1:15:00 time: 0.366764 data_time: 0.035351 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.919317 2023/08/08 20:50:09 - mmengine - INFO - Epoch(train) [187][230/529] lr: 5.000000e-05 eta: 1:14:57 time: 0.364431 data_time: 0.035488 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.961116 2023/08/08 20:50:13 - mmengine - INFO - Epoch(train) [187][240/529] lr: 5.000000e-05 eta: 1:14:53 time: 0.368119 data_time: 0.036005 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.891647 2023/08/08 20:50:17 - mmengine - INFO - Epoch(train) [187][250/529] lr: 5.000000e-05 eta: 1:14:49 time: 0.374521 data_time: 0.036338 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.927925 2023/08/08 20:50:21 - mmengine - INFO - Epoch(train) [187][260/529] lr: 5.000000e-05 eta: 1:14:46 time: 0.379979 data_time: 0.037068 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.952114 2023/08/08 20:50:24 - mmengine - INFO - Epoch(train) [187][270/529] lr: 5.000000e-05 eta: 1:14:42 time: 0.376974 data_time: 0.033859 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.956440 2023/08/08 20:50:28 - mmengine - INFO - Epoch(train) [187][280/529] lr: 5.000000e-05 eta: 1:14:39 time: 0.376264 data_time: 0.033559 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.939391 2023/08/08 20:50:31 - mmengine - INFO - Epoch(train) [187][290/529] lr: 5.000000e-05 eta: 1:14:35 time: 0.370468 data_time: 0.032861 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.935119 2023/08/08 20:50:35 - mmengine - INFO - Epoch(train) [187][300/529] lr: 5.000000e-05 eta: 1:14:31 time: 0.364209 data_time: 0.032517 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.942349 2023/08/08 20:50:39 - mmengine - INFO - Epoch(train) [187][310/529] lr: 5.000000e-05 eta: 1:14:28 time: 0.359066 data_time: 0.031766 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.925452 2023/08/08 20:50:42 - mmengine - INFO - Epoch(train) [187][320/529] lr: 5.000000e-05 eta: 1:14:24 time: 0.360671 data_time: 0.031770 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.924550 2023/08/08 20:50:46 - mmengine - INFO - Epoch(train) [187][330/529] lr: 5.000000e-05 eta: 1:14:21 time: 0.361185 data_time: 0.032005 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.934277 2023/08/08 20:50:50 - mmengine - INFO - Epoch(train) [187][340/529] lr: 5.000000e-05 eta: 1:14:17 time: 0.362528 data_time: 0.032766 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.944021 2023/08/08 20:50:53 - mmengine - INFO - Epoch(train) [187][350/529] lr: 5.000000e-05 eta: 1:14:13 time: 0.361836 data_time: 0.034011 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.953722 2023/08/08 20:50:57 - mmengine - INFO - Epoch(train) [187][360/529] lr: 5.000000e-05 eta: 1:14:10 time: 0.362509 data_time: 0.034083 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.931124 2023/08/08 20:51:01 - mmengine - INFO - Epoch(train) [187][370/529] lr: 5.000000e-05 eta: 1:14:06 time: 0.365277 data_time: 0.037711 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.949071 2023/08/08 20:51:04 - mmengine - INFO - Epoch(train) [187][380/529] lr: 5.000000e-05 eta: 1:14:03 time: 0.366352 data_time: 0.037748 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.930052 2023/08/08 20:51:08 - mmengine - INFO - Epoch(train) [187][390/529] lr: 5.000000e-05 eta: 1:13:59 time: 0.365536 data_time: 0.036997 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.890627 2023/08/08 20:51:11 - mmengine - INFO - Epoch(train) [187][400/529] lr: 5.000000e-05 eta: 1:13:55 time: 0.363548 data_time: 0.035787 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.919691 2023/08/08 20:51:15 - mmengine - INFO - Epoch(train) [187][410/529] lr: 5.000000e-05 eta: 1:13:52 time: 0.365874 data_time: 0.039122 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.941779 2023/08/08 20:51:19 - mmengine - INFO - Epoch(train) [187][420/529] lr: 5.000000e-05 eta: 1:13:48 time: 0.362032 data_time: 0.035284 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.927372 2023/08/08 20:51:22 - mmengine - INFO - Epoch(train) [187][430/529] lr: 5.000000e-05 eta: 1:13:45 time: 0.361370 data_time: 0.035224 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.933501 2023/08/08 20:51:26 - mmengine - INFO - Epoch(train) [187][440/529] lr: 5.000000e-05 eta: 1:13:41 time: 0.362761 data_time: 0.035685 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.962656 2023/08/08 20:51:30 - mmengine - INFO - Epoch(train) [187][450/529] lr: 5.000000e-05 eta: 1:13:37 time: 0.364724 data_time: 0.036274 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.964286 2023/08/08 20:51:33 - mmengine - INFO - Epoch(train) [187][460/529] lr: 5.000000e-05 eta: 1:13:34 time: 0.361817 data_time: 0.033624 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.926408 2023/08/08 20:51:37 - mmengine - INFO - Epoch(train) [187][470/529] lr: 5.000000e-05 eta: 1:13:30 time: 0.362334 data_time: 0.035139 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.961817 2023/08/08 20:51:41 - mmengine - INFO - Epoch(train) [187][480/529] lr: 5.000000e-05 eta: 1:13:27 time: 0.364552 data_time: 0.035206 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.947186 2023/08/08 20:51:44 - mmengine - INFO - Epoch(train) [187][490/529] lr: 5.000000e-05 eta: 1:13:23 time: 0.365324 data_time: 0.034868 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.963229 2023/08/08 20:51:48 - mmengine - INFO - Epoch(train) [187][500/529] lr: 5.000000e-05 eta: 1:13:19 time: 0.364051 data_time: 0.034378 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.909428 2023/08/08 20:51:51 - mmengine - INFO - Epoch(train) [187][510/529] lr: 5.000000e-05 eta: 1:13:16 time: 0.365117 data_time: 0.033801 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.955485 2023/08/08 20:51:55 - mmengine - INFO - Epoch(train) [187][520/529] lr: 5.000000e-05 eta: 1:13:12 time: 0.364539 data_time: 0.032266 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.929081 2023/08/08 20:51:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:52:02 - mmengine - INFO - Epoch(train) [188][ 10/529] lr: 5.000000e-05 eta: 1:13:05 time: 0.363726 data_time: 0.038962 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.925566 2023/08/08 20:52:06 - mmengine - INFO - Epoch(train) [188][ 20/529] lr: 5.000000e-05 eta: 1:13:02 time: 0.363726 data_time: 0.039449 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.954125 2023/08/08 20:52:09 - mmengine - INFO - Epoch(train) [188][ 30/529] lr: 5.000000e-05 eta: 1:12:58 time: 0.363786 data_time: 0.039612 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.905187 2023/08/08 20:52:13 - mmengine - INFO - Epoch(train) [188][ 40/529] lr: 5.000000e-05 eta: 1:12:54 time: 0.365907 data_time: 0.040151 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.923675 2023/08/08 20:52:17 - mmengine - INFO - Epoch(train) [188][ 50/529] lr: 5.000000e-05 eta: 1:12:51 time: 0.365017 data_time: 0.037713 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.949578 2023/08/08 20:52:20 - mmengine - INFO - Epoch(train) [188][ 60/529] lr: 5.000000e-05 eta: 1:12:47 time: 0.362028 data_time: 0.033414 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.884502 2023/08/08 20:52:24 - mmengine - INFO - Epoch(train) [188][ 70/529] lr: 5.000000e-05 eta: 1:12:44 time: 0.361097 data_time: 0.032720 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.928023 2023/08/08 20:52:26 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:52:27 - mmengine - INFO - Epoch(train) [188][ 80/529] lr: 5.000000e-05 eta: 1:12:40 time: 0.360185 data_time: 0.032599 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.909579 2023/08/08 20:52:31 - mmengine - INFO - Epoch(train) [188][ 90/529] lr: 5.000000e-05 eta: 1:12:36 time: 0.358288 data_time: 0.032324 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.867640 2023/08/08 20:52:35 - mmengine - INFO - Epoch(train) [188][100/529] lr: 5.000000e-05 eta: 1:12:33 time: 0.358215 data_time: 0.032208 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.948665 2023/08/08 20:52:38 - mmengine - INFO - Epoch(train) [188][110/529] lr: 5.000000e-05 eta: 1:12:29 time: 0.361651 data_time: 0.032383 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.928492 2023/08/08 20:52:42 - mmengine - INFO - Epoch(train) [188][120/529] lr: 5.000000e-05 eta: 1:12:26 time: 0.362144 data_time: 0.032395 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.909598 2023/08/08 20:52:45 - mmengine - INFO - Epoch(train) [188][130/529] lr: 5.000000e-05 eta: 1:12:22 time: 0.361491 data_time: 0.032186 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.900842 2023/08/08 20:52:49 - mmengine - INFO - Epoch(train) [188][140/529] lr: 5.000000e-05 eta: 1:12:18 time: 0.360666 data_time: 0.031954 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.926795 2023/08/08 20:52:53 - mmengine - INFO - Epoch(train) [188][150/529] lr: 5.000000e-05 eta: 1:12:15 time: 0.363537 data_time: 0.032083 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.927484 2023/08/08 20:52:56 - mmengine - INFO - Epoch(train) [188][160/529] lr: 5.000000e-05 eta: 1:12:11 time: 0.361559 data_time: 0.032180 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.957775 2023/08/08 20:53:00 - mmengine - INFO - Epoch(train) [188][170/529] lr: 5.000000e-05 eta: 1:12:08 time: 0.363687 data_time: 0.032454 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.939169 2023/08/08 20:53:04 - mmengine - INFO - Epoch(train) [188][180/529] lr: 5.000000e-05 eta: 1:12:04 time: 0.364124 data_time: 0.032538 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.958003 2023/08/08 20:53:07 - mmengine - INFO - Epoch(train) [188][190/529] lr: 5.000000e-05 eta: 1:12:00 time: 0.363875 data_time: 0.032501 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.899675 2023/08/08 20:53:11 - mmengine - INFO - Epoch(train) [188][200/529] lr: 5.000000e-05 eta: 1:11:57 time: 0.361046 data_time: 0.032837 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.934271 2023/08/08 20:53:15 - mmengine - INFO - Epoch(train) [188][210/529] lr: 5.000000e-05 eta: 1:11:53 time: 0.361211 data_time: 0.033299 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.929231 2023/08/08 20:53:18 - mmengine - INFO - Epoch(train) [188][220/529] lr: 5.000000e-05 eta: 1:11:50 time: 0.359002 data_time: 0.032928 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.927076 2023/08/08 20:53:22 - mmengine - INFO - Epoch(train) [188][230/529] lr: 5.000000e-05 eta: 1:11:46 time: 0.360240 data_time: 0.033483 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.978520 2023/08/08 20:53:26 - mmengine - INFO - Epoch(train) [188][240/529] lr: 5.000000e-05 eta: 1:11:42 time: 0.364582 data_time: 0.037416 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.926351 2023/08/08 20:53:29 - mmengine - INFO - Epoch(train) [188][250/529] lr: 5.000000e-05 eta: 1:11:39 time: 0.366681 data_time: 0.036688 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.967573 2023/08/08 20:53:33 - mmengine - INFO - Epoch(train) [188][260/529] lr: 5.000000e-05 eta: 1:11:35 time: 0.368520 data_time: 0.035994 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.936985 2023/08/08 20:53:37 - mmengine - INFO - Epoch(train) [188][270/529] lr: 5.000000e-05 eta: 1:11:32 time: 0.369312 data_time: 0.036120 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.900097 2023/08/08 20:53:40 - mmengine - INFO - Epoch(train) [188][280/529] lr: 5.000000e-05 eta: 1:11:28 time: 0.370944 data_time: 0.035836 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.968324 2023/08/08 20:53:44 - mmengine - INFO - Epoch(train) [188][290/529] lr: 5.000000e-05 eta: 1:11:24 time: 0.367835 data_time: 0.032282 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.923461 2023/08/08 20:53:48 - mmengine - INFO - Epoch(train) [188][300/529] lr: 5.000000e-05 eta: 1:11:21 time: 0.365530 data_time: 0.032486 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.922628 2023/08/08 20:53:51 - mmengine - INFO - Epoch(train) [188][310/529] lr: 5.000000e-05 eta: 1:11:17 time: 0.362243 data_time: 0.032690 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.916070 2023/08/08 20:53:55 - mmengine - INFO - Epoch(train) [188][320/529] lr: 5.000000e-05 eta: 1:11:13 time: 0.361982 data_time: 0.032704 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.971623 2023/08/08 20:53:58 - mmengine - INFO - Epoch(train) [188][330/529] lr: 5.000000e-05 eta: 1:11:10 time: 0.358918 data_time: 0.032691 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.928965 2023/08/08 20:54:02 - mmengine - INFO - Epoch(train) [188][340/529] lr: 5.000000e-05 eta: 1:11:06 time: 0.359847 data_time: 0.032728 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.937753 2023/08/08 20:54:06 - mmengine - INFO - Epoch(train) [188][350/529] lr: 5.000000e-05 eta: 1:11:03 time: 0.359464 data_time: 0.032968 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.962502 2023/08/08 20:54:09 - mmengine - INFO - Epoch(train) [188][360/529] lr: 5.000000e-05 eta: 1:10:59 time: 0.361901 data_time: 0.032973 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.896979 2023/08/08 20:54:13 - mmengine - INFO - Epoch(train) [188][370/529] lr: 5.000000e-05 eta: 1:10:55 time: 0.361562 data_time: 0.033102 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.899140 2023/08/08 20:54:17 - mmengine - INFO - Epoch(train) [188][380/529] lr: 5.000000e-05 eta: 1:10:52 time: 0.366677 data_time: 0.033273 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.916950 2023/08/08 20:54:21 - mmengine - INFO - Epoch(train) [188][390/529] lr: 5.000000e-05 eta: 1:10:48 time: 0.374614 data_time: 0.033293 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.943606 2023/08/08 20:54:25 - mmengine - INFO - Epoch(train) [188][400/529] lr: 5.000000e-05 eta: 1:10:45 time: 0.379675 data_time: 0.033406 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.947971 2023/08/08 20:54:28 - mmengine - INFO - Epoch(train) [188][410/529] lr: 5.000000e-05 eta: 1:10:41 time: 0.378062 data_time: 0.033165 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.912845 2023/08/08 20:54:32 - mmengine - INFO - Epoch(train) [188][420/529] lr: 5.000000e-05 eta: 1:10:38 time: 0.380264 data_time: 0.033147 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.946338 2023/08/08 20:54:35 - mmengine - INFO - Epoch(train) [188][430/529] lr: 5.000000e-05 eta: 1:10:34 time: 0.374839 data_time: 0.032701 memory: 4565 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.889232 2023/08/08 20:54:39 - mmengine - INFO - Epoch(train) [188][440/529] lr: 5.000000e-05 eta: 1:10:30 time: 0.364299 data_time: 0.032449 memory: 4565 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.919605 2023/08/08 20:54:42 - mmengine - INFO - Epoch(train) [188][450/529] lr: 5.000000e-05 eta: 1:10:27 time: 0.357360 data_time: 0.031938 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.941375 2023/08/08 20:54:46 - mmengine - INFO - Epoch(train) [188][460/529] lr: 5.000000e-05 eta: 1:10:23 time: 0.356377 data_time: 0.032216 memory: 4565 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.929389 2023/08/08 20:54:49 - mmengine - INFO - Epoch(train) [188][470/529] lr: 5.000000e-05 eta: 1:10:19 time: 0.352322 data_time: 0.032148 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.942754 2023/08/08 20:54:53 - mmengine - INFO - Epoch(train) [188][480/529] lr: 5.000000e-05 eta: 1:10:16 time: 0.352817 data_time: 0.032449 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.931480 2023/08/08 20:54:57 - mmengine - INFO - Epoch(train) [188][490/529] lr: 5.000000e-05 eta: 1:10:12 time: 0.355820 data_time: 0.032369 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.948153 2023/08/08 20:55:00 - mmengine - INFO - Epoch(train) [188][500/529] lr: 5.000000e-05 eta: 1:10:09 time: 0.355409 data_time: 0.032570 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.941990 2023/08/08 20:55:04 - mmengine - INFO - Epoch(train) [188][510/529] lr: 5.000000e-05 eta: 1:10:05 time: 0.353177 data_time: 0.032270 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.947161 2023/08/08 20:55:07 - mmengine - INFO - Epoch(train) [188][520/529] lr: 5.000000e-05 eta: 1:10:01 time: 0.356633 data_time: 0.032174 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.945455 2023/08/08 20:55:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:55:14 - mmengine - INFO - Epoch(train) [189][ 10/529] lr: 5.000000e-05 eta: 1:09:55 time: 0.358427 data_time: 0.036192 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.950906 2023/08/08 20:55:18 - mmengine - INFO - Epoch(train) [189][ 20/529] lr: 5.000000e-05 eta: 1:09:51 time: 0.363188 data_time: 0.036222 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.935485 2023/08/08 20:55:22 - mmengine - INFO - Epoch(train) [189][ 30/529] lr: 5.000000e-05 eta: 1:09:47 time: 0.365101 data_time: 0.036121 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.927890 2023/08/08 20:55:25 - mmengine - INFO - Epoch(train) [189][ 40/529] lr: 5.000000e-05 eta: 1:09:44 time: 0.363067 data_time: 0.036085 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.937728 2023/08/08 20:55:29 - mmengine - INFO - Epoch(train) [189][ 50/529] lr: 5.000000e-05 eta: 1:09:40 time: 0.364027 data_time: 0.035951 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.975134 2023/08/08 20:55:32 - mmengine - INFO - Epoch(train) [189][ 60/529] lr: 5.000000e-05 eta: 1:09:37 time: 0.359824 data_time: 0.031885 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.949716 2023/08/08 20:55:36 - mmengine - INFO - Epoch(train) [189][ 70/529] lr: 5.000000e-05 eta: 1:09:33 time: 0.357947 data_time: 0.031833 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.974656 2023/08/08 20:55:40 - mmengine - INFO - Epoch(train) [189][ 80/529] lr: 5.000000e-05 eta: 1:09:29 time: 0.361978 data_time: 0.032725 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.933496 2023/08/08 20:55:43 - mmengine - INFO - Epoch(train) [189][ 90/529] lr: 5.000000e-05 eta: 1:09:26 time: 0.363509 data_time: 0.033060 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.959194 2023/08/08 20:55:47 - mmengine - INFO - Epoch(train) [189][100/529] lr: 5.000000e-05 eta: 1:09:22 time: 0.364514 data_time: 0.033209 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.907167 2023/08/08 20:55:50 - mmengine - INFO - Epoch(train) [189][110/529] lr: 5.000000e-05 eta: 1:09:18 time: 0.362521 data_time: 0.032653 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.946440 2023/08/08 20:55:54 - mmengine - INFO - Epoch(train) [189][120/529] lr: 5.000000e-05 eta: 1:09:15 time: 0.361216 data_time: 0.032567 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.939762 2023/08/08 20:55:58 - mmengine - INFO - Epoch(train) [189][130/529] lr: 5.000000e-05 eta: 1:09:11 time: 0.358876 data_time: 0.031744 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.939943 2023/08/08 20:56:02 - mmengine - INFO - Epoch(train) [189][140/529] lr: 5.000000e-05 eta: 1:09:08 time: 0.363162 data_time: 0.035311 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.959034 2023/08/08 20:56:05 - mmengine - INFO - Epoch(train) [189][150/529] lr: 5.000000e-05 eta: 1:09:04 time: 0.365301 data_time: 0.035882 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.929167 2023/08/08 20:56:09 - mmengine - INFO - Epoch(train) [189][160/529] lr: 5.000000e-05 eta: 1:09:00 time: 0.366069 data_time: 0.036267 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.969744 2023/08/08 20:56:12 - mmengine - INFO - Epoch(train) [189][170/529] lr: 5.000000e-05 eta: 1:08:57 time: 0.365979 data_time: 0.036303 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.932895 2023/08/08 20:56:16 - mmengine - INFO - Epoch(train) [189][180/529] lr: 5.000000e-05 eta: 1:08:53 time: 0.366368 data_time: 0.036923 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.943777 2023/08/08 20:56:20 - mmengine - INFO - Epoch(train) [189][190/529] lr: 5.000000e-05 eta: 1:08:50 time: 0.365102 data_time: 0.033277 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.933113 2023/08/08 20:56:23 - mmengine - INFO - Epoch(train) [189][200/529] lr: 5.000000e-05 eta: 1:08:46 time: 0.364168 data_time: 0.032943 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.938870 2023/08/08 20:56:27 - mmengine - INFO - Epoch(train) [189][210/529] lr: 5.000000e-05 eta: 1:08:42 time: 0.365302 data_time: 0.032878 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.954738 2023/08/08 20:56:31 - mmengine - INFO - Epoch(train) [189][220/529] lr: 5.000000e-05 eta: 1:08:39 time: 0.365433 data_time: 0.033550 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.929457 2023/08/08 20:56:34 - mmengine - INFO - Epoch(train) [189][230/529] lr: 5.000000e-05 eta: 1:08:35 time: 0.361664 data_time: 0.032974 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.967070 2023/08/08 20:56:38 - mmengine - INFO - Epoch(train) [189][240/529] lr: 5.000000e-05 eta: 1:08:32 time: 0.355542 data_time: 0.032774 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.934003 2023/08/08 20:56:41 - mmengine - INFO - Epoch(train) [189][250/529] lr: 5.000000e-05 eta: 1:08:28 time: 0.354635 data_time: 0.032798 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.905801 2023/08/08 20:56:45 - mmengine - INFO - Epoch(train) [189][260/529] lr: 5.000000e-05 eta: 1:08:24 time: 0.351616 data_time: 0.032882 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.974636 2023/08/08 20:56:48 - mmengine - INFO - Epoch(train) [189][270/529] lr: 5.000000e-05 eta: 1:08:21 time: 0.352336 data_time: 0.032332 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.838199 2023/08/08 20:56:52 - mmengine - INFO - Epoch(train) [189][280/529] lr: 5.000000e-05 eta: 1:08:17 time: 0.351815 data_time: 0.032296 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.924401 2023/08/08 20:56:55 - mmengine - INFO - Epoch(train) [189][290/529] lr: 5.000000e-05 eta: 1:08:14 time: 0.351551 data_time: 0.032184 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.935037 2023/08/08 20:56:59 - mmengine - INFO - Epoch(train) [189][300/529] lr: 5.000000e-05 eta: 1:08:10 time: 0.352885 data_time: 0.031994 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.940736 2023/08/08 20:57:02 - mmengine - INFO - Epoch(train) [189][310/529] lr: 5.000000e-05 eta: 1:08:06 time: 0.352990 data_time: 0.031838 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.937820 2023/08/08 20:57:06 - mmengine - INFO - Epoch(train) [189][320/529] lr: 5.000000e-05 eta: 1:08:03 time: 0.352437 data_time: 0.031796 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.949783 2023/08/08 20:57:09 - mmengine - INFO - Epoch(train) [189][330/529] lr: 5.000000e-05 eta: 1:07:59 time: 0.353998 data_time: 0.031960 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.962957 2023/08/08 20:57:13 - mmengine - INFO - Epoch(train) [189][340/529] lr: 5.000000e-05 eta: 1:07:55 time: 0.355802 data_time: 0.032241 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.921918 2023/08/08 20:57:16 - mmengine - INFO - Epoch(train) [189][350/529] lr: 5.000000e-05 eta: 1:07:52 time: 0.352606 data_time: 0.032444 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.955013 2023/08/08 20:57:20 - mmengine - INFO - Epoch(train) [189][360/529] lr: 5.000000e-05 eta: 1:07:48 time: 0.352174 data_time: 0.032381 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.933628 2023/08/08 20:57:23 - mmengine - INFO - Epoch(train) [189][370/529] lr: 5.000000e-05 eta: 1:07:45 time: 0.350490 data_time: 0.032285 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.917953 2023/08/08 20:57:27 - mmengine - INFO - Epoch(train) [189][380/529] lr: 5.000000e-05 eta: 1:07:41 time: 0.351226 data_time: 0.032304 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.922429 2023/08/08 20:57:30 - mmengine - INFO - Epoch(train) [189][390/529] lr: 5.000000e-05 eta: 1:07:37 time: 0.349718 data_time: 0.032092 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.923227 2023/08/08 20:57:34 - mmengine - INFO - Epoch(train) [189][400/529] lr: 5.000000e-05 eta: 1:07:34 time: 0.351465 data_time: 0.032137 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.940774 2023/08/08 20:57:38 - mmengine - INFO - Epoch(train) [189][410/529] lr: 5.000000e-05 eta: 1:07:30 time: 0.354892 data_time: 0.032344 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.944869 2023/08/08 20:57:41 - mmengine - INFO - Epoch(train) [189][420/529] lr: 5.000000e-05 eta: 1:07:26 time: 0.354381 data_time: 0.032300 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.914462 2023/08/08 20:57:45 - mmengine - INFO - Epoch(train) [189][430/529] lr: 5.000000e-05 eta: 1:07:23 time: 0.352843 data_time: 0.032092 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.953755 2023/08/08 20:57:48 - mmengine - INFO - Epoch(train) [189][440/529] lr: 5.000000e-05 eta: 1:07:19 time: 0.353140 data_time: 0.032109 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.928484 2023/08/08 20:57:52 - mmengine - INFO - Epoch(train) [189][450/529] lr: 5.000000e-05 eta: 1:07:16 time: 0.355284 data_time: 0.032243 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.957855 2023/08/08 20:57:55 - mmengine - INFO - Epoch(train) [189][460/529] lr: 5.000000e-05 eta: 1:07:12 time: 0.352518 data_time: 0.032457 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.937416 2023/08/08 20:57:59 - mmengine - INFO - Epoch(train) [189][470/529] lr: 5.000000e-05 eta: 1:07:08 time: 0.355761 data_time: 0.032840 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.914908 2023/08/08 20:58:02 - mmengine - INFO - Epoch(train) [189][480/529] lr: 5.000000e-05 eta: 1:07:05 time: 0.355935 data_time: 0.032876 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.938524 2023/08/08 20:58:06 - mmengine - INFO - Epoch(train) [189][490/529] lr: 5.000000e-05 eta: 1:07:01 time: 0.356695 data_time: 0.033071 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.947389 2023/08/08 20:58:10 - mmengine - INFO - Epoch(train) [189][500/529] lr: 5.000000e-05 eta: 1:06:58 time: 0.353963 data_time: 0.033448 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.932551 2023/08/08 20:58:13 - mmengine - INFO - Epoch(train) [189][510/529] lr: 5.000000e-05 eta: 1:06:54 time: 0.355584 data_time: 0.034206 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.961781 2023/08/08 20:58:17 - mmengine - INFO - Epoch(train) [189][520/529] lr: 5.000000e-05 eta: 1:06:50 time: 0.356063 data_time: 0.034312 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.940307 2023/08/08 20:58:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:58:24 - mmengine - INFO - Epoch(train) [190][ 10/529] lr: 5.000000e-05 eta: 1:06:44 time: 0.364017 data_time: 0.039418 memory: 4565 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.917500 2023/08/08 20:58:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 20:58:27 - mmengine - INFO - Epoch(train) [190][ 20/529] lr: 5.000000e-05 eta: 1:06:40 time: 0.364108 data_time: 0.038432 memory: 4565 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.961508 2023/08/08 20:58:31 - mmengine - INFO - Epoch(train) [190][ 30/529] lr: 5.000000e-05 eta: 1:06:36 time: 0.364249 data_time: 0.037516 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.945331 2023/08/08 20:58:35 - mmengine - INFO - Epoch(train) [190][ 40/529] lr: 5.000000e-05 eta: 1:06:33 time: 0.363362 data_time: 0.036890 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.913887 2023/08/08 20:58:38 - mmengine - INFO - Epoch(train) [190][ 50/529] lr: 5.000000e-05 eta: 1:06:29 time: 0.363542 data_time: 0.037014 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.921427 2023/08/08 20:58:42 - mmengine - INFO - Epoch(train) [190][ 60/529] lr: 5.000000e-05 eta: 1:06:26 time: 0.362246 data_time: 0.031684 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.953649 2023/08/08 20:58:46 - mmengine - INFO - Epoch(train) [190][ 70/529] lr: 5.000000e-05 eta: 1:06:22 time: 0.371773 data_time: 0.035820 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.902495 2023/08/08 20:58:50 - mmengine - INFO - Epoch(train) [190][ 80/529] lr: 5.000000e-05 eta: 1:06:18 time: 0.374076 data_time: 0.036109 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.977344 2023/08/08 20:58:53 - mmengine - INFO - Epoch(train) [190][ 90/529] lr: 5.000000e-05 eta: 1:06:15 time: 0.373422 data_time: 0.036136 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.953984 2023/08/08 20:58:57 - mmengine - INFO - Epoch(train) [190][100/529] lr: 5.000000e-05 eta: 1:06:11 time: 0.373639 data_time: 0.036010 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.941586 2023/08/08 20:59:01 - mmengine - INFO - Epoch(train) [190][110/529] lr: 5.000000e-05 eta: 1:06:08 time: 0.371404 data_time: 0.037557 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.919310 2023/08/08 20:59:04 - mmengine - INFO - Epoch(train) [190][120/529] lr: 5.000000e-05 eta: 1:06:04 time: 0.361773 data_time: 0.033593 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.947401 2023/08/08 20:59:08 - mmengine - INFO - Epoch(train) [190][130/529] lr: 5.000000e-05 eta: 1:06:00 time: 0.358271 data_time: 0.033644 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.940927 2023/08/08 20:59:11 - mmengine - INFO - Epoch(train) [190][140/529] lr: 5.000000e-05 eta: 1:05:57 time: 0.361354 data_time: 0.033925 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.942942 2023/08/08 20:59:15 - mmengine - INFO - Epoch(train) [190][150/529] lr: 5.000000e-05 eta: 1:05:53 time: 0.362110 data_time: 0.034142 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.943242 2023/08/08 20:59:19 - mmengine - INFO - Epoch(train) [190][160/529] lr: 5.000000e-05 eta: 1:05:49 time: 0.358815 data_time: 0.032839 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.923662 2023/08/08 20:59:22 - mmengine - INFO - Epoch(train) [190][170/529] lr: 5.000000e-05 eta: 1:05:46 time: 0.358130 data_time: 0.032764 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.950311 2023/08/08 20:59:26 - mmengine - INFO - Epoch(train) [190][180/529] lr: 5.000000e-05 eta: 1:05:42 time: 0.357215 data_time: 0.032435 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.915654 2023/08/08 20:59:29 - mmengine - INFO - Epoch(train) [190][190/529] lr: 5.000000e-05 eta: 1:05:39 time: 0.355346 data_time: 0.032479 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.963810 2023/08/08 20:59:33 - mmengine - INFO - Epoch(train) [190][200/529] lr: 5.000000e-05 eta: 1:05:35 time: 0.352924 data_time: 0.032350 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.931661 2023/08/08 20:59:36 - mmengine - INFO - Epoch(train) [190][210/529] lr: 5.000000e-05 eta: 1:05:31 time: 0.352207 data_time: 0.032206 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.945966 2023/08/08 20:59:40 - mmengine - INFO - Epoch(train) [190][220/529] lr: 5.000000e-05 eta: 1:05:28 time: 0.354285 data_time: 0.032146 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.889590 2023/08/08 20:59:44 - mmengine - INFO - Epoch(train) [190][230/529] lr: 5.000000e-05 eta: 1:05:24 time: 0.358556 data_time: 0.032058 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.923402 2023/08/08 20:59:47 - mmengine - INFO - Epoch(train) [190][240/529] lr: 5.000000e-05 eta: 1:05:21 time: 0.356557 data_time: 0.031918 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.941712 2023/08/08 20:59:51 - mmengine - INFO - Epoch(train) [190][250/529] lr: 5.000000e-05 eta: 1:05:17 time: 0.357209 data_time: 0.032162 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.931462 2023/08/08 20:59:54 - mmengine - INFO - Epoch(train) [190][260/529] lr: 5.000000e-05 eta: 1:05:13 time: 0.358965 data_time: 0.032118 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.946137 2023/08/08 20:59:58 - mmengine - INFO - Epoch(train) [190][270/529] lr: 5.000000e-05 eta: 1:05:10 time: 0.357201 data_time: 0.032221 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.912256 2023/08/08 21:00:01 - mmengine - INFO - Epoch(train) [190][280/529] lr: 5.000000e-05 eta: 1:05:06 time: 0.352521 data_time: 0.032284 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.949695 2023/08/08 21:00:05 - mmengine - INFO - Epoch(train) [190][290/529] lr: 5.000000e-05 eta: 1:05:02 time: 0.352199 data_time: 0.032204 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.906075 2023/08/08 21:00:08 - mmengine - INFO - Epoch(train) [190][300/529] lr: 5.000000e-05 eta: 1:04:59 time: 0.353156 data_time: 0.032133 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.942628 2023/08/08 21:00:12 - mmengine - INFO - Epoch(train) [190][310/529] lr: 5.000000e-05 eta: 1:04:55 time: 0.353214 data_time: 0.032183 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.975155 2023/08/08 21:00:15 - mmengine - INFO - Epoch(train) [190][320/529] lr: 5.000000e-05 eta: 1:04:52 time: 0.353283 data_time: 0.032235 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.934909 2023/08/08 21:00:19 - mmengine - INFO - Epoch(train) [190][330/529] lr: 5.000000e-05 eta: 1:04:48 time: 0.354012 data_time: 0.032317 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.960478 2023/08/08 21:00:22 - mmengine - INFO - Epoch(train) [190][340/529] lr: 5.000000e-05 eta: 1:04:44 time: 0.353670 data_time: 0.032165 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.966170 2023/08/08 21:00:26 - mmengine - INFO - Epoch(train) [190][350/529] lr: 5.000000e-05 eta: 1:04:41 time: 0.352041 data_time: 0.032041 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.918185 2023/08/08 21:00:29 - mmengine - INFO - Epoch(train) [190][360/529] lr: 5.000000e-05 eta: 1:04:37 time: 0.352121 data_time: 0.031952 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.905075 2023/08/08 21:00:33 - mmengine - INFO - Epoch(train) [190][370/529] lr: 5.000000e-05 eta: 1:04:34 time: 0.355632 data_time: 0.031934 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.944022 2023/08/08 21:00:37 - mmengine - INFO - Epoch(train) [190][380/529] lr: 5.000000e-05 eta: 1:04:30 time: 0.360828 data_time: 0.032149 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.895967 2023/08/08 21:00:40 - mmengine - INFO - Epoch(train) [190][390/529] lr: 5.000000e-05 eta: 1:04:26 time: 0.362348 data_time: 0.032329 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.905494 2023/08/08 21:00:44 - mmengine - INFO - Epoch(train) [190][400/529] lr: 5.000000e-05 eta: 1:04:23 time: 0.362990 data_time: 0.032262 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.941515 2023/08/08 21:00:48 - mmengine - INFO - Epoch(train) [190][410/529] lr: 5.000000e-05 eta: 1:04:19 time: 0.365406 data_time: 0.032181 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.921248 2023/08/08 21:00:51 - mmengine - INFO - Epoch(train) [190][420/529] lr: 5.000000e-05 eta: 1:04:16 time: 0.361745 data_time: 0.032053 memory: 4565 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.903087 2023/08/08 21:00:55 - mmengine - INFO - Epoch(train) [190][430/529] lr: 5.000000e-05 eta: 1:04:12 time: 0.360892 data_time: 0.032042 memory: 4565 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.889291 2023/08/08 21:00:59 - mmengine - INFO - Epoch(train) [190][440/529] lr: 5.000000e-05 eta: 1:04:08 time: 0.364231 data_time: 0.032201 memory: 4565 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.950545 2023/08/08 21:01:02 - mmengine - INFO - Epoch(train) [190][450/529] lr: 5.000000e-05 eta: 1:04:05 time: 0.365068 data_time: 0.033334 memory: 4565 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.961695 2023/08/08 21:01:06 - mmengine - INFO - Epoch(train) [190][460/529] lr: 5.000000e-05 eta: 1:04:01 time: 0.361225 data_time: 0.034327 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.906711 2023/08/08 21:01:09 - mmengine - INFO - Epoch(train) [190][470/529] lr: 5.000000e-05 eta: 1:03:58 time: 0.359752 data_time: 0.035327 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.958143 2023/08/08 21:01:13 - mmengine - INFO - Epoch(train) [190][480/529] lr: 5.000000e-05 eta: 1:03:54 time: 0.354834 data_time: 0.035078 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.924657 2023/08/08 21:01:16 - mmengine - INFO - Epoch(train) [190][490/529] lr: 5.000000e-05 eta: 1:03:50 time: 0.351858 data_time: 0.034931 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.913881 2023/08/08 21:01:20 - mmengine - INFO - Epoch(train) [190][500/529] lr: 5.000000e-05 eta: 1:03:47 time: 0.351319 data_time: 0.033913 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.895294 2023/08/08 21:01:23 - mmengine - INFO - Epoch(train) [190][510/529] lr: 5.000000e-05 eta: 1:03:43 time: 0.353295 data_time: 0.033182 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.941428 2023/08/08 21:01:27 - mmengine - INFO - Epoch(train) [190][520/529] lr: 5.000000e-05 eta: 1:03:39 time: 0.357066 data_time: 0.032224 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.876187 2023/08/08 21:01:30 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:01:30 - mmengine - INFO - Saving checkpoint at 190 epochs 2023/08/08 21:01:36 - mmengine - INFO - Epoch(val) [190][ 10/127] eta: 0:00:24 time: 0.198382 data_time: 0.013038 memory: 4565 2023/08/08 21:01:38 - mmengine - INFO - Epoch(val) [190][ 20/127] eta: 0:00:21 time: 0.198903 data_time: 0.013246 memory: 1634 2023/08/08 21:01:40 - mmengine - INFO - Epoch(val) [190][ 30/127] eta: 0:00:19 time: 0.199175 data_time: 0.013320 memory: 1634 2023/08/08 21:01:42 - mmengine - INFO - Epoch(val) [190][ 40/127] eta: 0:00:17 time: 0.199292 data_time: 0.013341 memory: 1634 2023/08/08 21:01:44 - mmengine - INFO - Epoch(val) [190][ 50/127] eta: 0:00:15 time: 0.201310 data_time: 0.013513 memory: 1634 2023/08/08 21:01:46 - mmengine - INFO - Epoch(val) [190][ 60/127] eta: 0:00:13 time: 0.198868 data_time: 0.011515 memory: 1634 2023/08/08 21:01:48 - mmengine - INFO - Epoch(val) [190][ 70/127] eta: 0:00:11 time: 0.198456 data_time: 0.011344 memory: 1634 2023/08/08 21:01:50 - mmengine - INFO - Epoch(val) [190][ 80/127] eta: 0:00:09 time: 0.198132 data_time: 0.011320 memory: 1634 2023/08/08 21:01:52 - mmengine - INFO - Epoch(val) [190][ 90/127] eta: 0:00:07 time: 0.198075 data_time: 0.011364 memory: 1634 2023/08/08 21:01:54 - mmengine - INFO - Epoch(val) [190][100/127] eta: 0:00:05 time: 0.198009 data_time: 0.011367 memory: 1634 2023/08/08 21:01:56 - mmengine - INFO - Epoch(val) [190][110/127] eta: 0:00:03 time: 0.197970 data_time: 0.011501 memory: 1634 2023/08/08 21:01:58 - mmengine - INFO - Epoch(val) [190][120/127] eta: 0:00:01 time: 0.198150 data_time: 0.011593 memory: 1634 2023/08/08 21:01:59 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 21:02:00 - mmengine - INFO - Evaluating AUC... 2023/08/08 21:02:00 - mmengine - INFO - Evaluating EPE... 2023/08/08 21:02:00 - mmengine - INFO - Epoch(val) [190][127/127] PCK: 0.982938 AUC: 0.675595 EPE: 11.609677 data_time: 0.012180 time: 0.197913 2023/08/08 21:02:04 - mmengine - INFO - Epoch(train) [191][ 10/529] lr: 5.000000e-05 eta: 1:03:33 time: 0.360917 data_time: 0.036431 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.971807 2023/08/08 21:02:08 - mmengine - INFO - Epoch(train) [191][ 20/529] lr: 5.000000e-05 eta: 1:03:29 time: 0.365717 data_time: 0.036457 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.918617 2023/08/08 21:02:11 - mmengine - INFO - Epoch(train) [191][ 30/529] lr: 5.000000e-05 eta: 1:03:25 time: 0.367760 data_time: 0.036423 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.938707 2023/08/08 21:02:15 - mmengine - INFO - Epoch(train) [191][ 40/529] lr: 5.000000e-05 eta: 1:03:22 time: 0.367817 data_time: 0.036702 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.919130 2023/08/08 21:02:19 - mmengine - INFO - Epoch(train) [191][ 50/529] lr: 5.000000e-05 eta: 1:03:18 time: 0.370871 data_time: 0.037172 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.947777 2023/08/08 21:02:22 - mmengine - INFO - Epoch(train) [191][ 60/529] lr: 5.000000e-05 eta: 1:03:15 time: 0.366821 data_time: 0.032389 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.901882 2023/08/08 21:02:26 - mmengine - INFO - Epoch(train) [191][ 70/529] lr: 5.000000e-05 eta: 1:03:11 time: 0.364793 data_time: 0.032299 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.955856 2023/08/08 21:02:30 - mmengine - INFO - Epoch(train) [191][ 80/529] lr: 5.000000e-05 eta: 1:03:07 time: 0.366393 data_time: 0.032305 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.923999 2023/08/08 21:02:33 - mmengine - INFO - Epoch(train) [191][ 90/529] lr: 5.000000e-05 eta: 1:03:04 time: 0.368002 data_time: 0.032369 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.883484 2023/08/08 21:02:37 - mmengine - INFO - Epoch(train) [191][100/529] lr: 5.000000e-05 eta: 1:03:00 time: 0.372356 data_time: 0.036229 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.953959 2023/08/08 21:02:41 - mmengine - INFO - Epoch(train) [191][110/529] lr: 5.000000e-05 eta: 1:02:57 time: 0.371170 data_time: 0.036215 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.946555 2023/08/08 21:02:44 - mmengine - INFO - Epoch(train) [191][120/529] lr: 5.000000e-05 eta: 1:02:53 time: 0.367949 data_time: 0.036177 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.938711 2023/08/08 21:02:48 - mmengine - INFO - Epoch(train) [191][130/529] lr: 5.000000e-05 eta: 1:02:49 time: 0.365192 data_time: 0.036210 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.978045 2023/08/08 21:02:52 - mmengine - INFO - Epoch(train) [191][140/529] lr: 5.000000e-05 eta: 1:02:46 time: 0.362501 data_time: 0.035909 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.958863 2023/08/08 21:02:55 - mmengine - INFO - Epoch(train) [191][150/529] lr: 5.000000e-05 eta: 1:02:42 time: 0.359441 data_time: 0.032195 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.941001 2023/08/08 21:02:59 - mmengine - INFO - Epoch(train) [191][160/529] lr: 5.000000e-05 eta: 1:02:39 time: 0.359367 data_time: 0.032210 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.923842 2023/08/08 21:03:02 - mmengine - INFO - Epoch(train) [191][170/529] lr: 5.000000e-05 eta: 1:02:35 time: 0.360393 data_time: 0.032124 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.910946 2023/08/08 21:03:06 - mmengine - INFO - Epoch(train) [191][180/529] lr: 5.000000e-05 eta: 1:02:31 time: 0.359395 data_time: 0.032009 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.931745 2023/08/08 21:03:10 - mmengine - INFO - Epoch(train) [191][190/529] lr: 5.000000e-05 eta: 1:02:28 time: 0.364033 data_time: 0.032173 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.940346 2023/08/08 21:03:13 - mmengine - INFO - Epoch(train) [191][200/529] lr: 5.000000e-05 eta: 1:02:24 time: 0.363104 data_time: 0.032358 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.943921 2023/08/08 21:03:17 - mmengine - INFO - Epoch(train) [191][210/529] lr: 5.000000e-05 eta: 1:02:21 time: 0.364566 data_time: 0.032796 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.931771 2023/08/08 21:03:21 - mmengine - INFO - Epoch(train) [191][220/529] lr: 5.000000e-05 eta: 1:02:17 time: 0.365959 data_time: 0.033168 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.927385 2023/08/08 21:03:24 - mmengine - INFO - Epoch(train) [191][230/529] lr: 5.000000e-05 eta: 1:02:13 time: 0.369004 data_time: 0.033032 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.941101 2023/08/08 21:03:28 - mmengine - INFO - Epoch(train) [191][240/529] lr: 5.000000e-05 eta: 1:02:10 time: 0.363663 data_time: 0.032720 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.928857 2023/08/08 21:03:32 - mmengine - INFO - Epoch(train) [191][250/529] lr: 5.000000e-05 eta: 1:02:06 time: 0.363350 data_time: 0.032295 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.983163 2023/08/08 21:03:35 - mmengine - INFO - Epoch(train) [191][260/529] lr: 5.000000e-05 eta: 1:02:03 time: 0.362580 data_time: 0.031823 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.937278 2023/08/08 21:03:39 - mmengine - INFO - Epoch(train) [191][270/529] lr: 5.000000e-05 eta: 1:01:59 time: 0.361751 data_time: 0.031659 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.949515 2023/08/08 21:03:42 - mmengine - INFO - Epoch(train) [191][280/529] lr: 5.000000e-05 eta: 1:01:55 time: 0.359172 data_time: 0.031760 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.938143 2023/08/08 21:03:46 - mmengine - INFO - Epoch(train) [191][290/529] lr: 5.000000e-05 eta: 1:01:52 time: 0.358826 data_time: 0.032503 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.898068 2023/08/08 21:03:49 - mmengine - INFO - Epoch(train) [191][300/529] lr: 5.000000e-05 eta: 1:01:48 time: 0.356304 data_time: 0.032417 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.952888 2023/08/08 21:03:53 - mmengine - INFO - Epoch(train) [191][310/529] lr: 5.000000e-05 eta: 1:01:44 time: 0.354146 data_time: 0.032686 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.947938 2023/08/08 21:03:56 - mmengine - INFO - Epoch(train) [191][320/529] lr: 5.000000e-05 eta: 1:01:41 time: 0.353021 data_time: 0.032930 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.929557 2023/08/08 21:04:00 - mmengine - INFO - Epoch(train) [191][330/529] lr: 5.000000e-05 eta: 1:01:37 time: 0.350915 data_time: 0.032796 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.926585 2023/08/08 21:04:03 - mmengine - INFO - Epoch(train) [191][340/529] lr: 5.000000e-05 eta: 1:01:34 time: 0.351482 data_time: 0.032371 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.889572 2023/08/08 21:04:07 - mmengine - INFO - Epoch(train) [191][350/529] lr: 5.000000e-05 eta: 1:01:30 time: 0.354513 data_time: 0.032899 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.899682 2023/08/08 21:04:11 - mmengine - INFO - Epoch(train) [191][360/529] lr: 5.000000e-05 eta: 1:01:26 time: 0.363862 data_time: 0.033215 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.945924 2023/08/08 21:04:15 - mmengine - INFO - Epoch(train) [191][370/529] lr: 5.000000e-05 eta: 1:01:23 time: 0.373440 data_time: 0.033172 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.947665 2023/08/08 21:04:19 - mmengine - INFO - Epoch(train) [191][380/529] lr: 5.000000e-05 eta: 1:01:19 time: 0.375231 data_time: 0.033995 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.909891 2023/08/08 21:04:22 - mmengine - INFO - Epoch(train) [191][390/529] lr: 5.000000e-05 eta: 1:01:16 time: 0.373677 data_time: 0.033965 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.930834 2023/08/08 21:04:26 - mmengine - INFO - Epoch(train) [191][400/529] lr: 5.000000e-05 eta: 1:01:12 time: 0.373079 data_time: 0.033738 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.937125 2023/08/08 21:04:29 - mmengine - INFO - Epoch(train) [191][410/529] lr: 5.000000e-05 eta: 1:01:08 time: 0.364636 data_time: 0.033317 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.897972 2023/08/08 21:04:33 - mmengine - INFO - Epoch(train) [191][420/529] lr: 5.000000e-05 eta: 1:01:05 time: 0.358422 data_time: 0.036580 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.890703 2023/08/08 21:04:37 - mmengine - INFO - Epoch(train) [191][430/529] lr: 5.000000e-05 eta: 1:01:01 time: 0.357266 data_time: 0.035869 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.961010 2023/08/08 21:04:40 - mmengine - INFO - Epoch(train) [191][440/529] lr: 5.000000e-05 eta: 1:00:58 time: 0.357997 data_time: 0.036411 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.959941 2023/08/08 21:04:44 - mmengine - INFO - Epoch(train) [191][450/529] lr: 5.000000e-05 eta: 1:00:54 time: 0.357868 data_time: 0.036499 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.942159 2023/08/08 21:04:47 - mmengine - INFO - Epoch(train) [191][460/529] lr: 5.000000e-05 eta: 1:00:50 time: 0.357563 data_time: 0.036475 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.921365 2023/08/08 21:04:51 - mmengine - INFO - Epoch(train) [191][470/529] lr: 5.000000e-05 eta: 1:00:47 time: 0.354114 data_time: 0.033041 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.926423 2023/08/08 21:04:54 - mmengine - INFO - Epoch(train) [191][480/529] lr: 5.000000e-05 eta: 1:00:43 time: 0.353008 data_time: 0.033024 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.915732 2023/08/08 21:04:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:04:58 - mmengine - INFO - Epoch(train) [191][490/529] lr: 5.000000e-05 eta: 1:00:40 time: 0.351785 data_time: 0.032323 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.970604 2023/08/08 21:05:01 - mmengine - INFO - Epoch(train) [191][500/529] lr: 5.000000e-05 eta: 1:00:36 time: 0.349957 data_time: 0.031922 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.929082 2023/08/08 21:05:05 - mmengine - INFO - Epoch(train) [191][510/529] lr: 5.000000e-05 eta: 1:00:32 time: 0.351669 data_time: 0.032202 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.976310 2023/08/08 21:05:08 - mmengine - INFO - Epoch(train) [191][520/529] lr: 5.000000e-05 eta: 1:00:29 time: 0.351643 data_time: 0.032209 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.931409 2023/08/08 21:05:12 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:05:15 - mmengine - INFO - Epoch(train) [192][ 10/529] lr: 5.000000e-05 eta: 1:00:22 time: 0.357788 data_time: 0.037163 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.927381 2023/08/08 21:05:19 - mmengine - INFO - Epoch(train) [192][ 20/529] lr: 5.000000e-05 eta: 1:00:18 time: 0.358769 data_time: 0.037836 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.892100 2023/08/08 21:05:22 - mmengine - INFO - Epoch(train) [192][ 30/529] lr: 5.000000e-05 eta: 1:00:15 time: 0.356711 data_time: 0.038255 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.903401 2023/08/08 21:05:26 - mmengine - INFO - Epoch(train) [192][ 40/529] lr: 5.000000e-05 eta: 1:00:11 time: 0.359816 data_time: 0.038045 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.907689 2023/08/08 21:05:30 - mmengine - INFO - Epoch(train) [192][ 50/529] lr: 5.000000e-05 eta: 1:00:07 time: 0.360748 data_time: 0.038266 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.930288 2023/08/08 21:05:33 - mmengine - INFO - Epoch(train) [192][ 60/529] lr: 5.000000e-05 eta: 1:00:04 time: 0.357914 data_time: 0.033273 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.932230 2023/08/08 21:05:37 - mmengine - INFO - Epoch(train) [192][ 70/529] lr: 5.000000e-05 eta: 1:00:00 time: 0.360564 data_time: 0.032954 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.944111 2023/08/08 21:05:41 - mmengine - INFO - Epoch(train) [192][ 80/529] lr: 5.000000e-05 eta: 0:59:57 time: 0.365028 data_time: 0.035596 memory: 4565 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.923998 2023/08/08 21:05:44 - mmengine - INFO - Epoch(train) [192][ 90/529] lr: 5.000000e-05 eta: 0:59:53 time: 0.360894 data_time: 0.035546 memory: 4565 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.892789 2023/08/08 21:05:48 - mmengine - INFO - Epoch(train) [192][100/529] lr: 5.000000e-05 eta: 0:59:49 time: 0.361174 data_time: 0.035411 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.979167 2023/08/08 21:05:51 - mmengine - INFO - Epoch(train) [192][110/529] lr: 5.000000e-05 eta: 0:59:46 time: 0.362134 data_time: 0.035722 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.957820 2023/08/08 21:05:55 - mmengine - INFO - Epoch(train) [192][120/529] lr: 5.000000e-05 eta: 0:59:42 time: 0.360237 data_time: 0.035404 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.961129 2023/08/08 21:05:59 - mmengine - INFO - Epoch(train) [192][130/529] lr: 5.000000e-05 eta: 0:59:39 time: 0.359168 data_time: 0.032344 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.920351 2023/08/08 21:06:02 - mmengine - INFO - Epoch(train) [192][140/529] lr: 5.000000e-05 eta: 0:59:35 time: 0.359963 data_time: 0.032420 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.956585 2023/08/08 21:06:06 - mmengine - INFO - Epoch(train) [192][150/529] lr: 5.000000e-05 eta: 0:59:31 time: 0.358810 data_time: 0.032339 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.891342 2023/08/08 21:06:09 - mmengine - INFO - Epoch(train) [192][160/529] lr: 5.000000e-05 eta: 0:59:28 time: 0.356470 data_time: 0.031949 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.936074 2023/08/08 21:06:13 - mmengine - INFO - Epoch(train) [192][170/529] lr: 5.000000e-05 eta: 0:59:24 time: 0.357383 data_time: 0.032272 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.951535 2023/08/08 21:06:16 - mmengine - INFO - Epoch(train) [192][180/529] lr: 5.000000e-05 eta: 0:59:20 time: 0.356503 data_time: 0.032045 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.905991 2023/08/08 21:06:20 - mmengine - INFO - Epoch(train) [192][190/529] lr: 5.000000e-05 eta: 0:59:17 time: 0.362522 data_time: 0.031996 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.956517 2023/08/08 21:06:24 - mmengine - INFO - Epoch(train) [192][200/529] lr: 5.000000e-05 eta: 0:59:13 time: 0.364054 data_time: 0.032069 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.942645 2023/08/08 21:06:27 - mmengine - INFO - Epoch(train) [192][210/529] lr: 5.000000e-05 eta: 0:59:10 time: 0.364606 data_time: 0.032136 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.899838 2023/08/08 21:06:31 - mmengine - INFO - Epoch(train) [192][220/529] lr: 5.000000e-05 eta: 0:59:06 time: 0.363311 data_time: 0.031880 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.965698 2023/08/08 21:06:35 - mmengine - INFO - Epoch(train) [192][230/529] lr: 5.000000e-05 eta: 0:59:02 time: 0.365905 data_time: 0.031922 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.978474 2023/08/08 21:06:38 - mmengine - INFO - Epoch(train) [192][240/529] lr: 5.000000e-05 eta: 0:58:59 time: 0.361197 data_time: 0.032701 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.928898 2023/08/08 21:06:42 - mmengine - INFO - Epoch(train) [192][250/529] lr: 5.000000e-05 eta: 0:58:55 time: 0.361898 data_time: 0.033032 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.911010 2023/08/08 21:06:46 - mmengine - INFO - Epoch(train) [192][260/529] lr: 5.000000e-05 eta: 0:58:52 time: 0.363460 data_time: 0.033179 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.926259 2023/08/08 21:06:49 - mmengine - INFO - Epoch(train) [192][270/529] lr: 5.000000e-05 eta: 0:58:48 time: 0.364056 data_time: 0.033258 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.928317 2023/08/08 21:06:53 - mmengine - INFO - Epoch(train) [192][280/529] lr: 5.000000e-05 eta: 0:58:44 time: 0.361741 data_time: 0.033089 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.965737 2023/08/08 21:06:56 - mmengine - INFO - Epoch(train) [192][290/529] lr: 5.000000e-05 eta: 0:58:41 time: 0.362172 data_time: 0.032341 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.963656 2023/08/08 21:07:00 - mmengine - INFO - Epoch(train) [192][300/529] lr: 5.000000e-05 eta: 0:58:37 time: 0.362902 data_time: 0.032360 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.920882 2023/08/08 21:07:04 - mmengine - INFO - Epoch(train) [192][310/529] lr: 5.000000e-05 eta: 0:58:34 time: 0.363058 data_time: 0.032373 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.934311 2023/08/08 21:07:07 - mmengine - INFO - Epoch(train) [192][320/529] lr: 5.000000e-05 eta: 0:58:30 time: 0.364608 data_time: 0.032517 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.948755 2023/08/08 21:07:11 - mmengine - INFO - Epoch(train) [192][330/529] lr: 5.000000e-05 eta: 0:58:26 time: 0.363592 data_time: 0.032497 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.937670 2023/08/08 21:07:15 - mmengine - INFO - Epoch(train) [192][340/529] lr: 5.000000e-05 eta: 0:58:23 time: 0.367040 data_time: 0.032829 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.915754 2023/08/08 21:07:18 - mmengine - INFO - Epoch(train) [192][350/529] lr: 5.000000e-05 eta: 0:58:19 time: 0.366435 data_time: 0.032560 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.974754 2023/08/08 21:07:22 - mmengine - INFO - Epoch(train) [192][360/529] lr: 5.000000e-05 eta: 0:58:16 time: 0.373104 data_time: 0.032890 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.898164 2023/08/08 21:07:26 - mmengine - INFO - Epoch(train) [192][370/529] lr: 5.000000e-05 eta: 0:58:12 time: 0.377102 data_time: 0.033152 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.885039 2023/08/08 21:07:30 - mmengine - INFO - Epoch(train) [192][380/529] lr: 5.000000e-05 eta: 0:58:08 time: 0.382246 data_time: 0.033569 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.953051 2023/08/08 21:07:34 - mmengine - INFO - Epoch(train) [192][390/529] lr: 5.000000e-05 eta: 0:58:05 time: 0.377103 data_time: 0.033356 memory: 4565 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.921898 2023/08/08 21:07:37 - mmengine - INFO - Epoch(train) [192][400/529] lr: 5.000000e-05 eta: 0:58:01 time: 0.375038 data_time: 0.033237 memory: 4565 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.950195 2023/08/08 21:07:41 - mmengine - INFO - Epoch(train) [192][410/529] lr: 5.000000e-05 eta: 0:57:58 time: 0.368318 data_time: 0.032734 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.960551 2023/08/08 21:07:45 - mmengine - INFO - Epoch(train) [192][420/529] lr: 5.000000e-05 eta: 0:57:54 time: 0.369304 data_time: 0.032597 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.934995 2023/08/08 21:07:48 - mmengine - INFO - Epoch(train) [192][430/529] lr: 5.000000e-05 eta: 0:57:50 time: 0.364252 data_time: 0.032308 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.922766 2023/08/08 21:07:52 - mmengine - INFO - Epoch(train) [192][440/529] lr: 5.000000e-05 eta: 0:57:47 time: 0.370023 data_time: 0.032513 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.974449 2023/08/08 21:07:56 - mmengine - INFO - Epoch(train) [192][450/529] lr: 5.000000e-05 eta: 0:57:43 time: 0.370485 data_time: 0.032620 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.957721 2023/08/08 21:07:59 - mmengine - INFO - Epoch(train) [192][460/529] lr: 5.000000e-05 eta: 0:57:40 time: 0.370306 data_time: 0.032731 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.963525 2023/08/08 21:08:03 - mmengine - INFO - Epoch(train) [192][470/529] lr: 5.000000e-05 eta: 0:57:36 time: 0.362952 data_time: 0.032547 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.930038 2023/08/08 21:08:07 - mmengine - INFO - Epoch(train) [192][480/529] lr: 5.000000e-05 eta: 0:57:32 time: 0.365606 data_time: 0.032494 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.899549 2023/08/08 21:08:10 - mmengine - INFO - Epoch(train) [192][490/529] lr: 5.000000e-05 eta: 0:57:29 time: 0.360780 data_time: 0.032361 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.938170 2023/08/08 21:08:14 - mmengine - INFO - Epoch(train) [192][500/529] lr: 5.000000e-05 eta: 0:57:25 time: 0.361170 data_time: 0.032514 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.924638 2023/08/08 21:08:17 - mmengine - INFO - Epoch(train) [192][510/529] lr: 5.000000e-05 eta: 0:57:22 time: 0.360060 data_time: 0.032484 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.907890 2023/08/08 21:08:21 - mmengine - INFO - Epoch(train) [192][520/529] lr: 5.000000e-05 eta: 0:57:18 time: 0.360439 data_time: 0.032288 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.964336 2023/08/08 21:08:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:08:28 - mmengine - INFO - Epoch(train) [193][ 10/529] lr: 5.000000e-05 eta: 0:57:11 time: 0.362839 data_time: 0.036377 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.876271 2023/08/08 21:08:32 - mmengine - INFO - Epoch(train) [193][ 20/529] lr: 5.000000e-05 eta: 0:57:08 time: 0.364703 data_time: 0.036469 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.919804 2023/08/08 21:08:35 - mmengine - INFO - Epoch(train) [193][ 30/529] lr: 5.000000e-05 eta: 0:57:04 time: 0.365012 data_time: 0.036354 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.941898 2023/08/08 21:08:39 - mmengine - INFO - Epoch(train) [193][ 40/529] lr: 5.000000e-05 eta: 0:57:00 time: 0.368149 data_time: 0.036551 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.934303 2023/08/08 21:08:43 - mmengine - INFO - Epoch(train) [193][ 50/529] lr: 5.000000e-05 eta: 0:56:57 time: 0.366678 data_time: 0.036826 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.919958 2023/08/08 21:08:46 - mmengine - INFO - Epoch(train) [193][ 60/529] lr: 5.000000e-05 eta: 0:56:53 time: 0.361583 data_time: 0.032086 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.932194 2023/08/08 21:08:50 - mmengine - INFO - Epoch(train) [193][ 70/529] lr: 5.000000e-05 eta: 0:56:49 time: 0.359336 data_time: 0.031747 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.939517 2023/08/08 21:08:53 - mmengine - INFO - Epoch(train) [193][ 80/529] lr: 5.000000e-05 eta: 0:56:46 time: 0.359884 data_time: 0.031801 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.944038 2023/08/08 21:08:57 - mmengine - INFO - Epoch(train) [193][ 90/529] lr: 5.000000e-05 eta: 0:56:42 time: 0.358747 data_time: 0.031680 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.914458 2023/08/08 21:09:01 - mmengine - INFO - Epoch(train) [193][100/529] lr: 5.000000e-05 eta: 0:56:39 time: 0.361859 data_time: 0.032133 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.933840 2023/08/08 21:09:04 - mmengine - INFO - Epoch(train) [193][110/529] lr: 5.000000e-05 eta: 0:56:35 time: 0.362767 data_time: 0.032369 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.938565 2023/08/08 21:09:08 - mmengine - INFO - Epoch(train) [193][120/529] lr: 5.000000e-05 eta: 0:56:31 time: 0.365910 data_time: 0.032483 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.917281 2023/08/08 21:09:12 - mmengine - INFO - Epoch(train) [193][130/529] lr: 5.000000e-05 eta: 0:56:28 time: 0.366293 data_time: 0.032749 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.948184 2023/08/08 21:09:15 - mmengine - INFO - Epoch(train) [193][140/529] lr: 5.000000e-05 eta: 0:56:24 time: 0.365785 data_time: 0.032671 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.946348 2023/08/08 21:09:19 - mmengine - INFO - Epoch(train) [193][150/529] lr: 5.000000e-05 eta: 0:56:21 time: 0.363728 data_time: 0.032340 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.926791 2023/08/08 21:09:23 - mmengine - INFO - Epoch(train) [193][160/529] lr: 5.000000e-05 eta: 0:56:17 time: 0.367818 data_time: 0.035978 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.934461 2023/08/08 21:09:26 - mmengine - INFO - Epoch(train) [193][170/529] lr: 5.000000e-05 eta: 0:56:13 time: 0.365906 data_time: 0.035838 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.925926 2023/08/08 21:09:30 - mmengine - INFO - Epoch(train) [193][180/529] lr: 5.000000e-05 eta: 0:56:10 time: 0.365225 data_time: 0.035520 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.950784 2023/08/08 21:09:34 - mmengine - INFO - Epoch(train) [193][190/529] lr: 5.000000e-05 eta: 0:56:06 time: 0.364945 data_time: 0.035440 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.919641 2023/08/08 21:09:37 - mmengine - INFO - Epoch(train) [193][200/529] lr: 5.000000e-05 eta: 0:56:03 time: 0.365874 data_time: 0.035549 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.935549 2023/08/08 21:09:41 - mmengine - INFO - Epoch(train) [193][210/529] lr: 5.000000e-05 eta: 0:55:59 time: 0.362991 data_time: 0.031903 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.950638 2023/08/08 21:09:45 - mmengine - INFO - Epoch(train) [193][220/529] lr: 5.000000e-05 eta: 0:55:55 time: 0.362894 data_time: 0.032020 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.959827 2023/08/08 21:09:48 - mmengine - INFO - Epoch(train) [193][230/529] lr: 5.000000e-05 eta: 0:55:52 time: 0.363762 data_time: 0.032722 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.950650 2023/08/08 21:09:52 - mmengine - INFO - Epoch(train) [193][240/529] lr: 5.000000e-05 eta: 0:55:48 time: 0.363617 data_time: 0.032756 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.939879 2023/08/08 21:09:55 - mmengine - INFO - Epoch(train) [193][250/529] lr: 5.000000e-05 eta: 0:55:45 time: 0.361617 data_time: 0.032654 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.927023 2023/08/08 21:09:59 - mmengine - INFO - Epoch(train) [193][260/529] lr: 5.000000e-05 eta: 0:55:41 time: 0.359765 data_time: 0.032436 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.947857 2023/08/08 21:10:03 - mmengine - INFO - Epoch(train) [193][270/529] lr: 5.000000e-05 eta: 0:55:37 time: 0.359801 data_time: 0.032506 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.918888 2023/08/08 21:10:06 - mmengine - INFO - Epoch(train) [193][280/529] lr: 5.000000e-05 eta: 0:55:34 time: 0.361913 data_time: 0.031863 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.915438 2023/08/08 21:10:10 - mmengine - INFO - Epoch(train) [193][290/529] lr: 5.000000e-05 eta: 0:55:30 time: 0.367346 data_time: 0.032162 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.902077 2023/08/08 21:10:14 - mmengine - INFO - Epoch(train) [193][300/529] lr: 5.000000e-05 eta: 0:55:27 time: 0.367612 data_time: 0.031997 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.948169 2023/08/08 21:10:17 - mmengine - INFO - Epoch(train) [193][310/529] lr: 5.000000e-05 eta: 0:55:23 time: 0.367865 data_time: 0.032013 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.958365 2023/08/08 21:10:21 - mmengine - INFO - Epoch(train) [193][320/529] lr: 5.000000e-05 eta: 0:55:19 time: 0.366867 data_time: 0.031852 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.931819 2023/08/08 21:10:25 - mmengine - INFO - Epoch(train) [193][330/529] lr: 5.000000e-05 eta: 0:55:16 time: 0.365534 data_time: 0.031816 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.943462 2023/08/08 21:10:28 - mmengine - INFO - Epoch(train) [193][340/529] lr: 5.000000e-05 eta: 0:55:12 time: 0.359716 data_time: 0.031652 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.906290 2023/08/08 21:10:32 - mmengine - INFO - Epoch(train) [193][350/529] lr: 5.000000e-05 eta: 0:55:09 time: 0.361603 data_time: 0.031954 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.916471 2023/08/08 21:10:35 - mmengine - INFO - Epoch(train) [193][360/529] lr: 5.000000e-05 eta: 0:55:05 time: 0.361876 data_time: 0.032206 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.896671 2023/08/08 21:10:39 - mmengine - INFO - Epoch(train) [193][370/529] lr: 5.000000e-05 eta: 0:55:01 time: 0.361656 data_time: 0.032119 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.883510 2023/08/08 21:10:43 - mmengine - INFO - Epoch(train) [193][380/529] lr: 5.000000e-05 eta: 0:54:58 time: 0.359493 data_time: 0.032103 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.918310 2023/08/08 21:10:46 - mmengine - INFO - Epoch(train) [193][390/529] lr: 5.000000e-05 eta: 0:54:54 time: 0.359752 data_time: 0.032224 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.944422 2023/08/08 21:10:50 - mmengine - INFO - Epoch(train) [193][400/529] lr: 5.000000e-05 eta: 0:54:51 time: 0.359077 data_time: 0.032053 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.934127 2023/08/08 21:10:53 - mmengine - INFO - Epoch(train) [193][410/529] lr: 5.000000e-05 eta: 0:54:47 time: 0.359437 data_time: 0.031909 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.940867 2023/08/08 21:10:57 - mmengine - INFO - Epoch(train) [193][420/529] lr: 5.000000e-05 eta: 0:54:43 time: 0.360379 data_time: 0.032077 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.910939 2023/08/08 21:11:01 - mmengine - INFO - Epoch(train) [193][430/529] lr: 5.000000e-05 eta: 0:54:40 time: 0.360415 data_time: 0.031964 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.945968 2023/08/08 21:11:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:11:04 - mmengine - INFO - Epoch(train) [193][440/529] lr: 5.000000e-05 eta: 0:54:36 time: 0.362685 data_time: 0.031694 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.944313 2023/08/08 21:11:08 - mmengine - INFO - Epoch(train) [193][450/529] lr: 5.000000e-05 eta: 0:54:32 time: 0.361249 data_time: 0.031678 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.948211 2023/08/08 21:11:12 - mmengine - INFO - Epoch(train) [193][460/529] lr: 5.000000e-05 eta: 0:54:29 time: 0.361477 data_time: 0.031810 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.910836 2023/08/08 21:11:15 - mmengine - INFO - Epoch(train) [193][470/529] lr: 5.000000e-05 eta: 0:54:25 time: 0.361565 data_time: 0.031742 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.943934 2023/08/08 21:11:19 - mmengine - INFO - Epoch(train) [193][480/529] lr: 5.000000e-05 eta: 0:54:22 time: 0.362756 data_time: 0.031964 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.918225 2023/08/08 21:11:23 - mmengine - INFO - Epoch(train) [193][490/529] lr: 5.000000e-05 eta: 0:54:18 time: 0.363419 data_time: 0.035755 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.934859 2023/08/08 21:11:26 - mmengine - INFO - Epoch(train) [193][500/529] lr: 5.000000e-05 eta: 0:54:14 time: 0.363861 data_time: 0.035652 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.938532 2023/08/08 21:11:30 - mmengine - INFO - Epoch(train) [193][510/529] lr: 5.000000e-05 eta: 0:54:11 time: 0.362473 data_time: 0.035435 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.948240 2023/08/08 21:11:33 - mmengine - INFO - Epoch(train) [193][520/529] lr: 5.000000e-05 eta: 0:54:07 time: 0.362405 data_time: 0.035622 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.948273 2023/08/08 21:11:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:11:40 - mmengine - INFO - Epoch(train) [194][ 10/529] lr: 5.000000e-05 eta: 0:54:00 time: 0.364379 data_time: 0.035661 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.940382 2023/08/08 21:11:44 - mmengine - INFO - Epoch(train) [194][ 20/529] lr: 5.000000e-05 eta: 0:53:57 time: 0.363088 data_time: 0.036115 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.947173 2023/08/08 21:11:47 - mmengine - INFO - Epoch(train) [194][ 30/529] lr: 5.000000e-05 eta: 0:53:53 time: 0.363036 data_time: 0.036133 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.921908 2023/08/08 21:11:51 - mmengine - INFO - Epoch(train) [194][ 40/529] lr: 5.000000e-05 eta: 0:53:50 time: 0.361350 data_time: 0.035892 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.956927 2023/08/08 21:11:55 - mmengine - INFO - Epoch(train) [194][ 50/529] lr: 5.000000e-05 eta: 0:53:46 time: 0.357937 data_time: 0.036694 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.934469 2023/08/08 21:11:58 - mmengine - INFO - Epoch(train) [194][ 60/529] lr: 5.000000e-05 eta: 0:53:42 time: 0.353423 data_time: 0.032492 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.941005 2023/08/08 21:12:02 - mmengine - INFO - Epoch(train) [194][ 70/529] lr: 5.000000e-05 eta: 0:53:39 time: 0.353272 data_time: 0.032240 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.933231 2023/08/08 21:12:05 - mmengine - INFO - Epoch(train) [194][ 80/529] lr: 5.000000e-05 eta: 0:53:35 time: 0.357208 data_time: 0.032601 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.929569 2023/08/08 21:12:09 - mmengine - INFO - Epoch(train) [194][ 90/529] lr: 5.000000e-05 eta: 0:53:32 time: 0.356383 data_time: 0.032684 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.965823 2023/08/08 21:12:12 - mmengine - INFO - Epoch(train) [194][100/529] lr: 5.000000e-05 eta: 0:53:28 time: 0.355218 data_time: 0.032408 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.958467 2023/08/08 21:12:16 - mmengine - INFO - Epoch(train) [194][110/529] lr: 5.000000e-05 eta: 0:53:24 time: 0.353368 data_time: 0.032084 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.917156 2023/08/08 21:12:19 - mmengine - INFO - Epoch(train) [194][120/529] lr: 5.000000e-05 eta: 0:53:21 time: 0.355095 data_time: 0.032392 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.920187 2023/08/08 21:12:23 - mmengine - INFO - Epoch(train) [194][130/529] lr: 5.000000e-05 eta: 0:53:17 time: 0.350761 data_time: 0.032840 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.970063 2023/08/08 21:12:27 - mmengine - INFO - Epoch(train) [194][140/529] lr: 5.000000e-05 eta: 0:53:13 time: 0.353157 data_time: 0.032771 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.928141 2023/08/08 21:12:30 - mmengine - INFO - Epoch(train) [194][150/529] lr: 5.000000e-05 eta: 0:53:10 time: 0.352385 data_time: 0.032781 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.960638 2023/08/08 21:12:34 - mmengine - INFO - Epoch(train) [194][160/529] lr: 5.000000e-05 eta: 0:53:06 time: 0.353921 data_time: 0.032576 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.958372 2023/08/08 21:12:37 - mmengine - INFO - Epoch(train) [194][170/529] lr: 5.000000e-05 eta: 0:53:03 time: 0.351365 data_time: 0.032159 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.947195 2023/08/08 21:12:40 - mmengine - INFO - Epoch(train) [194][180/529] lr: 5.000000e-05 eta: 0:52:59 time: 0.350118 data_time: 0.031387 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.928611 2023/08/08 21:12:44 - mmengine - INFO - Epoch(train) [194][190/529] lr: 5.000000e-05 eta: 0:52:55 time: 0.349337 data_time: 0.031689 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.969891 2023/08/08 21:12:48 - mmengine - INFO - Epoch(train) [194][200/529] lr: 5.000000e-05 eta: 0:52:52 time: 0.354923 data_time: 0.032281 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.946237 2023/08/08 21:12:51 - mmengine - INFO - Epoch(train) [194][210/529] lr: 5.000000e-05 eta: 0:52:48 time: 0.354837 data_time: 0.032499 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.931696 2023/08/08 21:12:55 - mmengine - INFO - Epoch(train) [194][220/529] lr: 5.000000e-05 eta: 0:52:45 time: 0.354552 data_time: 0.032451 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.930248 2023/08/08 21:12:58 - mmengine - INFO - Epoch(train) [194][230/529] lr: 5.000000e-05 eta: 0:52:41 time: 0.354315 data_time: 0.032536 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.936331 2023/08/08 21:13:02 - mmengine - INFO - Epoch(train) [194][240/529] lr: 5.000000e-05 eta: 0:52:37 time: 0.352977 data_time: 0.032254 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.952768 2023/08/08 21:13:05 - mmengine - INFO - Epoch(train) [194][250/529] lr: 5.000000e-05 eta: 0:52:34 time: 0.349863 data_time: 0.032476 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.924093 2023/08/08 21:13:09 - mmengine - INFO - Epoch(train) [194][260/529] lr: 5.000000e-05 eta: 0:52:30 time: 0.352743 data_time: 0.032619 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.920426 2023/08/08 21:13:13 - mmengine - INFO - Epoch(train) [194][270/529] lr: 5.000000e-05 eta: 0:52:26 time: 0.355612 data_time: 0.032743 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.937192 2023/08/08 21:13:16 - mmengine - INFO - Epoch(train) [194][280/529] lr: 5.000000e-05 eta: 0:52:23 time: 0.356343 data_time: 0.033023 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.901938 2023/08/08 21:13:20 - mmengine - INFO - Epoch(train) [194][290/529] lr: 5.000000e-05 eta: 0:52:19 time: 0.356684 data_time: 0.033253 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.916978 2023/08/08 21:13:23 - mmengine - INFO - Epoch(train) [194][300/529] lr: 5.000000e-05 eta: 0:52:16 time: 0.358875 data_time: 0.032593 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.931006 2023/08/08 21:13:27 - mmengine - INFO - Epoch(train) [194][310/529] lr: 5.000000e-05 eta: 0:52:12 time: 0.355324 data_time: 0.032392 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.948790 2023/08/08 21:13:30 - mmengine - INFO - Epoch(train) [194][320/529] lr: 5.000000e-05 eta: 0:52:08 time: 0.355095 data_time: 0.032675 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.932308 2023/08/08 21:13:34 - mmengine - INFO - Epoch(train) [194][330/529] lr: 5.000000e-05 eta: 0:52:05 time: 0.355797 data_time: 0.032411 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.938946 2023/08/08 21:13:37 - mmengine - INFO - Epoch(train) [194][340/529] lr: 5.000000e-05 eta: 0:52:01 time: 0.356702 data_time: 0.032706 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.941303 2023/08/08 21:13:41 - mmengine - INFO - Epoch(train) [194][350/529] lr: 5.000000e-05 eta: 0:51:58 time: 0.352448 data_time: 0.033016 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.949697 2023/08/08 21:13:44 - mmengine - INFO - Epoch(train) [194][360/529] lr: 5.000000e-05 eta: 0:51:54 time: 0.352177 data_time: 0.033114 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.888624 2023/08/08 21:13:48 - mmengine - INFO - Epoch(train) [194][370/529] lr: 5.000000e-05 eta: 0:51:50 time: 0.350082 data_time: 0.032717 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.967177 2023/08/08 21:13:51 - mmengine - INFO - Epoch(train) [194][380/529] lr: 5.000000e-05 eta: 0:51:47 time: 0.350510 data_time: 0.032769 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.926357 2023/08/08 21:13:55 - mmengine - INFO - Epoch(train) [194][390/529] lr: 5.000000e-05 eta: 0:51:43 time: 0.349417 data_time: 0.032441 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.929347 2023/08/08 21:13:59 - mmengine - INFO - Epoch(train) [194][400/529] lr: 5.000000e-05 eta: 0:51:39 time: 0.357576 data_time: 0.036531 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.955661 2023/08/08 21:14:02 - mmengine - INFO - Epoch(train) [194][410/529] lr: 5.000000e-05 eta: 0:51:36 time: 0.359498 data_time: 0.036710 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.892058 2023/08/08 21:14:06 - mmengine - INFO - Epoch(train) [194][420/529] lr: 5.000000e-05 eta: 0:51:32 time: 0.360471 data_time: 0.036828 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.925120 2023/08/08 21:14:09 - mmengine - INFO - Epoch(train) [194][430/529] lr: 5.000000e-05 eta: 0:51:29 time: 0.359726 data_time: 0.036720 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.928193 2023/08/08 21:14:13 - mmengine - INFO - Epoch(train) [194][440/529] lr: 5.000000e-05 eta: 0:51:25 time: 0.369587 data_time: 0.036991 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.945705 2023/08/08 21:14:17 - mmengine - INFO - Epoch(train) [194][450/529] lr: 5.000000e-05 eta: 0:51:21 time: 0.363049 data_time: 0.033723 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.958883 2023/08/08 21:14:21 - mmengine - INFO - Epoch(train) [194][460/529] lr: 5.000000e-05 eta: 0:51:18 time: 0.363915 data_time: 0.034399 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.930209 2023/08/08 21:14:24 - mmengine - INFO - Epoch(train) [194][470/529] lr: 5.000000e-05 eta: 0:51:14 time: 0.366384 data_time: 0.034588 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.898200 2023/08/08 21:14:28 - mmengine - INFO - Epoch(train) [194][480/529] lr: 5.000000e-05 eta: 0:51:11 time: 0.365282 data_time: 0.034628 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.963416 2023/08/08 21:14:31 - mmengine - INFO - Epoch(train) [194][490/529] lr: 5.000000e-05 eta: 0:51:07 time: 0.355111 data_time: 0.034132 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.984115 2023/08/08 21:14:35 - mmengine - INFO - Epoch(train) [194][500/529] lr: 5.000000e-05 eta: 0:51:03 time: 0.355593 data_time: 0.032931 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.962442 2023/08/08 21:14:38 - mmengine - INFO - Epoch(train) [194][510/529] lr: 5.000000e-05 eta: 0:51:00 time: 0.357492 data_time: 0.032440 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.964133 2023/08/08 21:14:42 - mmengine - INFO - Epoch(train) [194][520/529] lr: 5.000000e-05 eta: 0:50:56 time: 0.354904 data_time: 0.032325 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.974115 2023/08/08 21:14:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:14:49 - mmengine - INFO - Epoch(train) [195][ 10/529] lr: 5.000000e-05 eta: 0:50:49 time: 0.359747 data_time: 0.035904 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.940769 2023/08/08 21:14:52 - mmengine - INFO - Epoch(train) [195][ 20/529] lr: 5.000000e-05 eta: 0:50:46 time: 0.362120 data_time: 0.035939 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.887209 2023/08/08 21:14:56 - mmengine - INFO - Epoch(train) [195][ 30/529] lr: 5.000000e-05 eta: 0:50:42 time: 0.356479 data_time: 0.035479 memory: 4565 loss: 0.000502 loss_kpt: 0.000502 acc_pose: 0.960659 2023/08/08 21:14:59 - mmengine - INFO - Epoch(train) [195][ 40/529] lr: 5.000000e-05 eta: 0:50:39 time: 0.357492 data_time: 0.035467 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.940271 2023/08/08 21:15:03 - mmengine - INFO - Epoch(train) [195][ 50/529] lr: 5.000000e-05 eta: 0:50:35 time: 0.357064 data_time: 0.035482 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.921443 2023/08/08 21:15:07 - mmengine - INFO - Epoch(train) [195][ 60/529] lr: 5.000000e-05 eta: 0:50:31 time: 0.358158 data_time: 0.035774 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.952369 2023/08/08 21:15:10 - mmengine - INFO - Epoch(train) [195][ 70/529] lr: 5.000000e-05 eta: 0:50:28 time: 0.355482 data_time: 0.035961 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.947287 2023/08/08 21:15:14 - mmengine - INFO - Epoch(train) [195][ 80/529] lr: 5.000000e-05 eta: 0:50:24 time: 0.354923 data_time: 0.036136 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.941940 2023/08/08 21:15:17 - mmengine - INFO - Epoch(train) [195][ 90/529] lr: 5.000000e-05 eta: 0:50:20 time: 0.353933 data_time: 0.036004 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.926136 2023/08/08 21:15:21 - mmengine - INFO - Epoch(train) [195][100/529] lr: 5.000000e-05 eta: 0:50:17 time: 0.359594 data_time: 0.035974 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.961975 2023/08/08 21:15:25 - mmengine - INFO - Epoch(train) [195][110/529] lr: 5.000000e-05 eta: 0:50:13 time: 0.355562 data_time: 0.032061 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.921692 2023/08/08 21:15:28 - mmengine - INFO - Epoch(train) [195][120/529] lr: 5.000000e-05 eta: 0:50:10 time: 0.355843 data_time: 0.032054 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.933110 2023/08/08 21:15:32 - mmengine - INFO - Epoch(train) [195][130/529] lr: 5.000000e-05 eta: 0:50:06 time: 0.359416 data_time: 0.033075 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.951310 2023/08/08 21:15:35 - mmengine - INFO - Epoch(train) [195][140/529] lr: 5.000000e-05 eta: 0:50:02 time: 0.360428 data_time: 0.033117 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.934816 2023/08/08 21:15:39 - mmengine - INFO - Epoch(train) [195][150/529] lr: 5.000000e-05 eta: 0:49:59 time: 0.356652 data_time: 0.033186 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.951310 2023/08/08 21:15:42 - mmengine - INFO - Epoch(train) [195][160/529] lr: 5.000000e-05 eta: 0:49:55 time: 0.357366 data_time: 0.033107 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.928912 2023/08/08 21:15:46 - mmengine - INFO - Epoch(train) [195][170/529] lr: 5.000000e-05 eta: 0:49:52 time: 0.361447 data_time: 0.033011 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.946013 2023/08/08 21:15:50 - mmengine - INFO - Epoch(train) [195][180/529] lr: 5.000000e-05 eta: 0:49:48 time: 0.361830 data_time: 0.032206 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.954636 2023/08/08 21:15:53 - mmengine - INFO - Epoch(train) [195][190/529] lr: 5.000000e-05 eta: 0:49:44 time: 0.363769 data_time: 0.032325 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.956501 2023/08/08 21:15:57 - mmengine - INFO - Epoch(train) [195][200/529] lr: 5.000000e-05 eta: 0:49:41 time: 0.364355 data_time: 0.032303 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.991464 2023/08/08 21:16:01 - mmengine - INFO - Epoch(train) [195][210/529] lr: 5.000000e-05 eta: 0:49:37 time: 0.363561 data_time: 0.032248 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.926801 2023/08/08 21:16:04 - mmengine - INFO - Epoch(train) [195][220/529] lr: 5.000000e-05 eta: 0:49:34 time: 0.359884 data_time: 0.032249 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.903409 2023/08/08 21:16:08 - mmengine - INFO - Epoch(train) [195][230/529] lr: 5.000000e-05 eta: 0:49:30 time: 0.359378 data_time: 0.032011 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.949084 2023/08/08 21:16:11 - mmengine - INFO - Epoch(train) [195][240/529] lr: 5.000000e-05 eta: 0:49:26 time: 0.360164 data_time: 0.032304 memory: 4565 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.956218 2023/08/08 21:16:16 - mmengine - INFO - Epoch(train) [195][250/529] lr: 5.000000e-05 eta: 0:49:23 time: 0.369862 data_time: 0.036564 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.969727 2023/08/08 21:16:19 - mmengine - INFO - Epoch(train) [195][260/529] lr: 5.000000e-05 eta: 0:49:19 time: 0.370214 data_time: 0.036780 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.947969 2023/08/08 21:16:23 - mmengine - INFO - Epoch(train) [195][270/529] lr: 5.000000e-05 eta: 0:49:16 time: 0.373528 data_time: 0.036733 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.967451 2023/08/08 21:16:26 - mmengine - INFO - Epoch(train) [195][280/529] lr: 5.000000e-05 eta: 0:49:12 time: 0.372097 data_time: 0.036576 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.929412 2023/08/08 21:16:30 - mmengine - INFO - Epoch(train) [195][290/529] lr: 5.000000e-05 eta: 0:49:08 time: 0.370434 data_time: 0.036130 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.981318 2023/08/08 21:16:34 - mmengine - INFO - Epoch(train) [195][300/529] lr: 5.000000e-05 eta: 0:49:05 time: 0.362695 data_time: 0.032093 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.963111 2023/08/08 21:16:37 - mmengine - INFO - Epoch(train) [195][310/529] lr: 5.000000e-05 eta: 0:49:01 time: 0.364472 data_time: 0.032340 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.917301 2023/08/08 21:16:41 - mmengine - INFO - Epoch(train) [195][320/529] lr: 5.000000e-05 eta: 0:48:58 time: 0.362216 data_time: 0.032406 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.901507 2023/08/08 21:16:45 - mmengine - INFO - Epoch(train) [195][330/529] lr: 5.000000e-05 eta: 0:48:54 time: 0.369857 data_time: 0.032831 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.944000 2023/08/08 21:16:49 - mmengine - INFO - Epoch(train) [195][340/529] lr: 5.000000e-05 eta: 0:48:50 time: 0.374136 data_time: 0.033026 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.940472 2023/08/08 21:16:53 - mmengine - INFO - Epoch(train) [195][350/529] lr: 5.000000e-05 eta: 0:48:47 time: 0.375587 data_time: 0.032956 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.958310 2023/08/08 21:16:57 - mmengine - INFO - Epoch(train) [195][360/529] lr: 5.000000e-05 eta: 0:48:43 time: 0.382571 data_time: 0.033060 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.930159 2023/08/08 21:17:00 - mmengine - INFO - Epoch(train) [195][370/529] lr: 5.000000e-05 eta: 0:48:40 time: 0.389369 data_time: 0.033472 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.950687 2023/08/08 21:17:02 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:17:04 - mmengine - INFO - Epoch(train) [195][380/529] lr: 5.000000e-05 eta: 0:48:36 time: 0.382437 data_time: 0.033200 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.917708 2023/08/08 21:17:08 - mmengine - INFO - Epoch(train) [195][390/529] lr: 5.000000e-05 eta: 0:48:32 time: 0.376820 data_time: 0.032856 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.950012 2023/08/08 21:17:11 - mmengine - INFO - Epoch(train) [195][400/529] lr: 5.000000e-05 eta: 0:48:29 time: 0.372300 data_time: 0.032757 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.844771 2023/08/08 21:17:15 - mmengine - INFO - Epoch(train) [195][410/529] lr: 5.000000e-05 eta: 0:48:25 time: 0.363698 data_time: 0.032317 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.923376 2023/08/08 21:17:18 - mmengine - INFO - Epoch(train) [195][420/529] lr: 5.000000e-05 eta: 0:48:22 time: 0.358433 data_time: 0.032083 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.937304 2023/08/08 21:17:22 - mmengine - INFO - Epoch(train) [195][430/529] lr: 5.000000e-05 eta: 0:48:18 time: 0.358029 data_time: 0.031949 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.923248 2023/08/08 21:17:26 - mmengine - INFO - Epoch(train) [195][440/529] lr: 5.000000e-05 eta: 0:48:14 time: 0.364425 data_time: 0.032235 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.944781 2023/08/08 21:17:29 - mmengine - INFO - Epoch(train) [195][450/529] lr: 5.000000e-05 eta: 0:48:11 time: 0.366065 data_time: 0.032150 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.928642 2023/08/08 21:17:33 - mmengine - INFO - Epoch(train) [195][460/529] lr: 5.000000e-05 eta: 0:48:07 time: 0.369367 data_time: 0.032095 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.897507 2023/08/08 21:17:37 - mmengine - INFO - Epoch(train) [195][470/529] lr: 5.000000e-05 eta: 0:48:04 time: 0.368393 data_time: 0.031920 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.925445 2023/08/08 21:17:40 - mmengine - INFO - Epoch(train) [195][480/529] lr: 5.000000e-05 eta: 0:48:00 time: 0.369235 data_time: 0.032037 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.936268 2023/08/08 21:17:44 - mmengine - INFO - Epoch(train) [195][490/529] lr: 5.000000e-05 eta: 0:47:56 time: 0.363794 data_time: 0.032034 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.949888 2023/08/08 21:17:48 - mmengine - INFO - Epoch(train) [195][500/529] lr: 5.000000e-05 eta: 0:47:53 time: 0.365406 data_time: 0.032238 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.933820 2023/08/08 21:17:51 - mmengine - INFO - Epoch(train) [195][510/529] lr: 5.000000e-05 eta: 0:47:49 time: 0.361282 data_time: 0.032153 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.940650 2023/08/08 21:17:55 - mmengine - INFO - Epoch(train) [195][520/529] lr: 5.000000e-05 eta: 0:47:45 time: 0.360106 data_time: 0.032188 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.945734 2023/08/08 21:17:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:18:02 - mmengine - INFO - Epoch(train) [196][ 10/529] lr: 5.000000e-05 eta: 0:47:39 time: 0.362938 data_time: 0.035732 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.940661 2023/08/08 21:18:05 - mmengine - INFO - Epoch(train) [196][ 20/529] lr: 5.000000e-05 eta: 0:47:35 time: 0.361249 data_time: 0.035594 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.909807 2023/08/08 21:18:09 - mmengine - INFO - Epoch(train) [196][ 30/529] lr: 5.000000e-05 eta: 0:47:31 time: 0.362167 data_time: 0.035700 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.933126 2023/08/08 21:18:13 - mmengine - INFO - Epoch(train) [196][ 40/529] lr: 5.000000e-05 eta: 0:47:28 time: 0.363194 data_time: 0.035879 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.961656 2023/08/08 21:18:16 - mmengine - INFO - Epoch(train) [196][ 50/529] lr: 5.000000e-05 eta: 0:47:24 time: 0.365193 data_time: 0.036082 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.973458 2023/08/08 21:18:20 - mmengine - INFO - Epoch(train) [196][ 60/529] lr: 5.000000e-05 eta: 0:47:21 time: 0.359865 data_time: 0.032050 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.970502 2023/08/08 21:18:24 - mmengine - INFO - Epoch(train) [196][ 70/529] lr: 5.000000e-05 eta: 0:47:17 time: 0.361719 data_time: 0.031945 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.942098 2023/08/08 21:18:27 - mmengine - INFO - Epoch(train) [196][ 80/529] lr: 5.000000e-05 eta: 0:47:13 time: 0.362934 data_time: 0.033044 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.969493 2023/08/08 21:18:31 - mmengine - INFO - Epoch(train) [196][ 90/529] lr: 5.000000e-05 eta: 0:47:10 time: 0.364384 data_time: 0.032940 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.951453 2023/08/08 21:18:35 - mmengine - INFO - Epoch(train) [196][100/529] lr: 5.000000e-05 eta: 0:47:06 time: 0.372927 data_time: 0.033388 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.935668 2023/08/08 21:18:39 - mmengine - INFO - Epoch(train) [196][110/529] lr: 5.000000e-05 eta: 0:47:03 time: 0.373320 data_time: 0.033606 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.966226 2023/08/08 21:18:42 - mmengine - INFO - Epoch(train) [196][120/529] lr: 5.000000e-05 eta: 0:46:59 time: 0.370335 data_time: 0.033520 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.934104 2023/08/08 21:18:46 - mmengine - INFO - Epoch(train) [196][130/529] lr: 5.000000e-05 eta: 0:46:55 time: 0.368457 data_time: 0.032348 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.919193 2023/08/08 21:18:49 - mmengine - INFO - Epoch(train) [196][140/529] lr: 5.000000e-05 eta: 0:46:52 time: 0.367078 data_time: 0.032642 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.945609 2023/08/08 21:18:53 - mmengine - INFO - Epoch(train) [196][150/529] lr: 5.000000e-05 eta: 0:46:48 time: 0.363066 data_time: 0.032409 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.901684 2023/08/08 21:18:57 - mmengine - INFO - Epoch(train) [196][160/529] lr: 5.000000e-05 eta: 0:46:45 time: 0.365914 data_time: 0.032442 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.940402 2023/08/08 21:19:00 - mmengine - INFO - Epoch(train) [196][170/529] lr: 5.000000e-05 eta: 0:46:41 time: 0.365446 data_time: 0.032518 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.920016 2023/08/08 21:19:04 - mmengine - INFO - Epoch(train) [196][180/529] lr: 5.000000e-05 eta: 0:46:37 time: 0.365525 data_time: 0.032506 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.943952 2023/08/08 21:19:08 - mmengine - INFO - Epoch(train) [196][190/529] lr: 5.000000e-05 eta: 0:46:34 time: 0.364003 data_time: 0.032127 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.921892 2023/08/08 21:19:11 - mmengine - INFO - Epoch(train) [196][200/529] lr: 5.000000e-05 eta: 0:46:30 time: 0.359793 data_time: 0.032032 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.932097 2023/08/08 21:19:15 - mmengine - INFO - Epoch(train) [196][210/529] lr: 5.000000e-05 eta: 0:46:27 time: 0.357548 data_time: 0.031916 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.946957 2023/08/08 21:19:19 - mmengine - INFO - Epoch(train) [196][220/529] lr: 5.000000e-05 eta: 0:46:23 time: 0.362875 data_time: 0.032240 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.948370 2023/08/08 21:19:22 - mmengine - INFO - Epoch(train) [196][230/529] lr: 5.000000e-05 eta: 0:46:19 time: 0.362964 data_time: 0.032399 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.919997 2023/08/08 21:19:26 - mmengine - INFO - Epoch(train) [196][240/529] lr: 5.000000e-05 eta: 0:46:16 time: 0.363983 data_time: 0.032298 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.977397 2023/08/08 21:19:29 - mmengine - INFO - Epoch(train) [196][250/529] lr: 5.000000e-05 eta: 0:46:12 time: 0.363211 data_time: 0.032380 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.946632 2023/08/08 21:19:33 - mmengine - INFO - Epoch(train) [196][260/529] lr: 5.000000e-05 eta: 0:46:09 time: 0.361900 data_time: 0.032324 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.963406 2023/08/08 21:19:36 - mmengine - INFO - Epoch(train) [196][270/529] lr: 5.000000e-05 eta: 0:46:05 time: 0.357776 data_time: 0.032583 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.956141 2023/08/08 21:19:40 - mmengine - INFO - Epoch(train) [196][280/529] lr: 5.000000e-05 eta: 0:46:01 time: 0.358229 data_time: 0.032359 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.958246 2023/08/08 21:19:44 - mmengine - INFO - Epoch(train) [196][290/529] lr: 5.000000e-05 eta: 0:45:58 time: 0.359750 data_time: 0.032898 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.920583 2023/08/08 21:19:47 - mmengine - INFO - Epoch(train) [196][300/529] lr: 5.000000e-05 eta: 0:45:54 time: 0.359537 data_time: 0.032720 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.965443 2023/08/08 21:19:51 - mmengine - INFO - Epoch(train) [196][310/529] lr: 5.000000e-05 eta: 0:45:50 time: 0.359010 data_time: 0.032701 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.942168 2023/08/08 21:19:54 - mmengine - INFO - Epoch(train) [196][320/529] lr: 5.000000e-05 eta: 0:45:47 time: 0.357690 data_time: 0.032028 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.924109 2023/08/08 21:19:58 - mmengine - INFO - Epoch(train) [196][330/529] lr: 5.000000e-05 eta: 0:45:43 time: 0.357841 data_time: 0.032176 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.927755 2023/08/08 21:20:02 - mmengine - INFO - Epoch(train) [196][340/529] lr: 5.000000e-05 eta: 0:45:40 time: 0.356077 data_time: 0.031758 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.903836 2023/08/08 21:20:05 - mmengine - INFO - Epoch(train) [196][350/529] lr: 5.000000e-05 eta: 0:45:36 time: 0.361556 data_time: 0.035707 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.945943 2023/08/08 21:20:09 - mmengine - INFO - Epoch(train) [196][360/529] lr: 5.000000e-05 eta: 0:45:32 time: 0.362059 data_time: 0.035737 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.925084 2023/08/08 21:20:13 - mmengine - INFO - Epoch(train) [196][370/529] lr: 5.000000e-05 eta: 0:45:29 time: 0.366663 data_time: 0.035927 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.956950 2023/08/08 21:20:16 - mmengine - INFO - Epoch(train) [196][380/529] lr: 5.000000e-05 eta: 0:45:25 time: 0.366454 data_time: 0.035802 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.955307 2023/08/08 21:20:20 - mmengine - INFO - Epoch(train) [196][390/529] lr: 5.000000e-05 eta: 0:45:22 time: 0.367772 data_time: 0.035948 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.928424 2023/08/08 21:20:24 - mmengine - INFO - Epoch(train) [196][400/529] lr: 5.000000e-05 eta: 0:45:18 time: 0.364516 data_time: 0.032087 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.959231 2023/08/08 21:20:27 - mmengine - INFO - Epoch(train) [196][410/529] lr: 5.000000e-05 eta: 0:45:14 time: 0.366881 data_time: 0.032033 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.942890 2023/08/08 21:20:31 - mmengine - INFO - Epoch(train) [196][420/529] lr: 5.000000e-05 eta: 0:45:11 time: 0.363374 data_time: 0.031938 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.965935 2023/08/08 21:20:34 - mmengine - INFO - Epoch(train) [196][430/529] lr: 5.000000e-05 eta: 0:45:07 time: 0.362361 data_time: 0.031888 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.957951 2023/08/08 21:20:38 - mmengine - INFO - Epoch(train) [196][440/529] lr: 5.000000e-05 eta: 0:45:04 time: 0.360307 data_time: 0.031667 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.878440 2023/08/08 21:20:42 - mmengine - INFO - Epoch(train) [196][450/529] lr: 5.000000e-05 eta: 0:45:00 time: 0.358139 data_time: 0.031702 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.941870 2023/08/08 21:20:45 - mmengine - INFO - Epoch(train) [196][460/529] lr: 5.000000e-05 eta: 0:44:56 time: 0.357541 data_time: 0.032216 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.927682 2023/08/08 21:20:49 - mmengine - INFO - Epoch(train) [196][470/529] lr: 5.000000e-05 eta: 0:44:53 time: 0.357341 data_time: 0.032386 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.917987 2023/08/08 21:20:53 - mmengine - INFO - Epoch(train) [196][480/529] lr: 5.000000e-05 eta: 0:44:49 time: 0.365191 data_time: 0.032945 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.944663 2023/08/08 21:20:56 - mmengine - INFO - Epoch(train) [196][490/529] lr: 5.000000e-05 eta: 0:44:46 time: 0.368678 data_time: 0.033067 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.934586 2023/08/08 21:21:00 - mmengine - INFO - Epoch(train) [196][500/529] lr: 5.000000e-05 eta: 0:44:42 time: 0.376088 data_time: 0.033196 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.925752 2023/08/08 21:21:04 - mmengine - INFO - Epoch(train) [196][510/529] lr: 5.000000e-05 eta: 0:44:38 time: 0.375699 data_time: 0.033092 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.940949 2023/08/08 21:21:08 - mmengine - INFO - Epoch(train) [196][520/529] lr: 5.000000e-05 eta: 0:44:35 time: 0.380123 data_time: 0.033097 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.905475 2023/08/08 21:21:11 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:21:15 - mmengine - INFO - Epoch(train) [197][ 10/529] lr: 5.000000e-05 eta: 0:44:28 time: 0.375411 data_time: 0.036564 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.885992 2023/08/08 21:21:19 - mmengine - INFO - Epoch(train) [197][ 20/529] lr: 5.000000e-05 eta: 0:44:24 time: 0.370920 data_time: 0.040380 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.968103 2023/08/08 21:21:22 - mmengine - INFO - Epoch(train) [197][ 30/529] lr: 5.000000e-05 eta: 0:44:21 time: 0.366609 data_time: 0.040189 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.970360 2023/08/08 21:21:26 - mmengine - INFO - Epoch(train) [197][ 40/529] lr: 5.000000e-05 eta: 0:44:17 time: 0.360409 data_time: 0.039890 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.958041 2023/08/08 21:21:29 - mmengine - INFO - Epoch(train) [197][ 50/529] lr: 5.000000e-05 eta: 0:44:13 time: 0.362261 data_time: 0.040479 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.941821 2023/08/08 21:21:33 - mmengine - INFO - Epoch(train) [197][ 60/529] lr: 5.000000e-05 eta: 0:44:10 time: 0.355132 data_time: 0.036130 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.964314 2023/08/08 21:21:36 - mmengine - INFO - Epoch(train) [197][ 70/529] lr: 5.000000e-05 eta: 0:44:06 time: 0.352786 data_time: 0.032151 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.903922 2023/08/08 21:21:40 - mmengine - INFO - Epoch(train) [197][ 80/529] lr: 5.000000e-05 eta: 0:44:03 time: 0.353346 data_time: 0.031916 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.965091 2023/08/08 21:21:43 - mmengine - INFO - Epoch(train) [197][ 90/529] lr: 5.000000e-05 eta: 0:43:59 time: 0.352656 data_time: 0.031948 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.942628 2023/08/08 21:21:47 - mmengine - INFO - Epoch(train) [197][100/529] lr: 5.000000e-05 eta: 0:43:55 time: 0.350600 data_time: 0.031416 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.957657 2023/08/08 21:21:50 - mmengine - INFO - Epoch(train) [197][110/529] lr: 5.000000e-05 eta: 0:43:52 time: 0.350590 data_time: 0.031446 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.968558 2023/08/08 21:21:54 - mmengine - INFO - Epoch(train) [197][120/529] lr: 5.000000e-05 eta: 0:43:48 time: 0.349916 data_time: 0.031891 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.962223 2023/08/08 21:21:57 - mmengine - INFO - Epoch(train) [197][130/529] lr: 5.000000e-05 eta: 0:43:45 time: 0.350594 data_time: 0.031822 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.914171 2023/08/08 21:22:01 - mmengine - INFO - Epoch(train) [197][140/529] lr: 5.000000e-05 eta: 0:43:41 time: 0.351886 data_time: 0.032175 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.928570 2023/08/08 21:22:04 - mmengine - INFO - Epoch(train) [197][150/529] lr: 5.000000e-05 eta: 0:43:37 time: 0.350774 data_time: 0.032404 memory: 4565 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.923342 2023/08/08 21:22:08 - mmengine - INFO - Epoch(train) [197][160/529] lr: 5.000000e-05 eta: 0:43:34 time: 0.352758 data_time: 0.032422 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.918461 2023/08/08 21:22:11 - mmengine - INFO - Epoch(train) [197][170/529] lr: 5.000000e-05 eta: 0:43:30 time: 0.351187 data_time: 0.031833 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.927858 2023/08/08 21:22:15 - mmengine - INFO - Epoch(train) [197][180/529] lr: 5.000000e-05 eta: 0:43:27 time: 0.356434 data_time: 0.032418 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.944114 2023/08/08 21:22:19 - mmengine - INFO - Epoch(train) [197][190/529] lr: 5.000000e-05 eta: 0:43:23 time: 0.361331 data_time: 0.032744 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.905446 2023/08/08 21:22:23 - mmengine - INFO - Epoch(train) [197][200/529] lr: 5.000000e-05 eta: 0:43:19 time: 0.364822 data_time: 0.033066 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.927769 2023/08/08 21:22:26 - mmengine - INFO - Epoch(train) [197][210/529] lr: 5.000000e-05 eta: 0:43:16 time: 0.362746 data_time: 0.032990 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.955081 2023/08/08 21:22:29 - mmengine - INFO - Epoch(train) [197][220/529] lr: 5.000000e-05 eta: 0:43:12 time: 0.362949 data_time: 0.033101 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.942917 2023/08/08 21:22:33 - mmengine - INFO - Epoch(train) [197][230/529] lr: 5.000000e-05 eta: 0:43:08 time: 0.356619 data_time: 0.032759 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.966328 2023/08/08 21:22:36 - mmengine - INFO - Epoch(train) [197][240/529] lr: 5.000000e-05 eta: 0:43:05 time: 0.351311 data_time: 0.032131 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.933873 2023/08/08 21:22:40 - mmengine - INFO - Epoch(train) [197][250/529] lr: 5.000000e-05 eta: 0:43:01 time: 0.349078 data_time: 0.031848 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.942298 2023/08/08 21:22:44 - mmengine - INFO - Epoch(train) [197][260/529] lr: 5.000000e-05 eta: 0:42:58 time: 0.350886 data_time: 0.032139 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.918439 2023/08/08 21:22:47 - mmengine - INFO - Epoch(train) [197][270/529] lr: 5.000000e-05 eta: 0:42:54 time: 0.352489 data_time: 0.032336 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.915035 2023/08/08 21:22:51 - mmengine - INFO - Epoch(train) [197][280/529] lr: 5.000000e-05 eta: 0:42:50 time: 0.352136 data_time: 0.032270 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.939617 2023/08/08 21:22:54 - mmengine - INFO - Epoch(train) [197][290/529] lr: 5.000000e-05 eta: 0:42:47 time: 0.351247 data_time: 0.032334 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.938432 2023/08/08 21:22:58 - mmengine - INFO - Epoch(train) [197][300/529] lr: 5.000000e-05 eta: 0:42:43 time: 0.350070 data_time: 0.032174 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.958383 2023/08/08 21:23:01 - mmengine - INFO - Epoch(train) [197][310/529] lr: 5.000000e-05 eta: 0:42:40 time: 0.352624 data_time: 0.032773 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.917204 2023/08/08 21:23:04 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:23:05 - mmengine - INFO - Epoch(train) [197][320/529] lr: 5.000000e-05 eta: 0:42:36 time: 0.360935 data_time: 0.033029 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.944315 2023/08/08 21:23:09 - mmengine - INFO - Epoch(train) [197][330/529] lr: 5.000000e-05 eta: 0:42:32 time: 0.368437 data_time: 0.033215 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.942085 2023/08/08 21:23:13 - mmengine - INFO - Epoch(train) [197][340/529] lr: 5.000000e-05 eta: 0:42:29 time: 0.368588 data_time: 0.033215 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.900633 2023/08/08 21:23:16 - mmengine - INFO - Epoch(train) [197][350/529] lr: 5.000000e-05 eta: 0:42:25 time: 0.368988 data_time: 0.033310 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.896571 2023/08/08 21:23:20 - mmengine - INFO - Epoch(train) [197][360/529] lr: 5.000000e-05 eta: 0:42:22 time: 0.368228 data_time: 0.032610 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.934116 2023/08/08 21:23:23 - mmengine - INFO - Epoch(train) [197][370/529] lr: 5.000000e-05 eta: 0:42:18 time: 0.361036 data_time: 0.032562 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.934691 2023/08/08 21:23:27 - mmengine - INFO - Epoch(train) [197][380/529] lr: 5.000000e-05 eta: 0:42:14 time: 0.354139 data_time: 0.032341 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.918100 2023/08/08 21:23:30 - mmengine - INFO - Epoch(train) [197][390/529] lr: 5.000000e-05 eta: 0:42:11 time: 0.356974 data_time: 0.032431 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.935801 2023/08/08 21:23:34 - mmengine - INFO - Epoch(train) [197][400/529] lr: 5.000000e-05 eta: 0:42:07 time: 0.357027 data_time: 0.032468 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.929943 2023/08/08 21:23:37 - mmengine - INFO - Epoch(train) [197][410/529] lr: 5.000000e-05 eta: 0:42:03 time: 0.353166 data_time: 0.032508 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.951657 2023/08/08 21:23:41 - mmengine - INFO - Epoch(train) [197][420/529] lr: 5.000000e-05 eta: 0:42:00 time: 0.350528 data_time: 0.032162 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.950234 2023/08/08 21:23:44 - mmengine - INFO - Epoch(train) [197][430/529] lr: 5.000000e-05 eta: 0:41:56 time: 0.350469 data_time: 0.031979 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.917753 2023/08/08 21:23:48 - mmengine - INFO - Epoch(train) [197][440/529] lr: 5.000000e-05 eta: 0:41:53 time: 0.348714 data_time: 0.032058 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.901886 2023/08/08 21:23:51 - mmengine - INFO - Epoch(train) [197][450/529] lr: 5.000000e-05 eta: 0:41:49 time: 0.349174 data_time: 0.032003 memory: 4565 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.960359 2023/08/08 21:23:55 - mmengine - INFO - Epoch(train) [197][460/529] lr: 5.000000e-05 eta: 0:41:45 time: 0.354529 data_time: 0.035978 memory: 4565 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.944059 2023/08/08 21:23:59 - mmengine - INFO - Epoch(train) [197][470/529] lr: 5.000000e-05 eta: 0:41:42 time: 0.354558 data_time: 0.035822 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.954973 2023/08/08 21:24:02 - mmengine - INFO - Epoch(train) [197][480/529] lr: 5.000000e-05 eta: 0:41:38 time: 0.356172 data_time: 0.037059 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.973442 2023/08/08 21:24:06 - mmengine - INFO - Epoch(train) [197][490/529] lr: 5.000000e-05 eta: 0:41:35 time: 0.358102 data_time: 0.037033 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.940724 2023/08/08 21:24:10 - mmengine - INFO - Epoch(train) [197][500/529] lr: 5.000000e-05 eta: 0:41:31 time: 0.363826 data_time: 0.037362 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.950551 2023/08/08 21:24:13 - mmengine - INFO - Epoch(train) [197][510/529] lr: 5.000000e-05 eta: 0:41:27 time: 0.363731 data_time: 0.033421 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.931211 2023/08/08 21:24:17 - mmengine - INFO - Epoch(train) [197][520/529] lr: 5.000000e-05 eta: 0:41:24 time: 0.368500 data_time: 0.033996 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.881224 2023/08/08 21:24:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:24:24 - mmengine - INFO - Epoch(train) [198][ 10/529] lr: 5.000000e-05 eta: 0:41:17 time: 0.372149 data_time: 0.036462 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.957157 2023/08/08 21:24:28 - mmengine - INFO - Epoch(train) [198][ 20/529] lr: 5.000000e-05 eta: 0:41:13 time: 0.365696 data_time: 0.036166 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.927092 2023/08/08 21:24:31 - mmengine - INFO - Epoch(train) [198][ 30/529] lr: 5.000000e-05 eta: 0:41:10 time: 0.361825 data_time: 0.035909 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.941518 2023/08/08 21:24:35 - mmengine - INFO - Epoch(train) [198][ 40/529] lr: 5.000000e-05 eta: 0:41:06 time: 0.357413 data_time: 0.035578 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.899182 2023/08/08 21:24:38 - mmengine - INFO - Epoch(train) [198][ 50/529] lr: 5.000000e-05 eta: 0:41:03 time: 0.359819 data_time: 0.036206 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.931749 2023/08/08 21:24:42 - mmengine - INFO - Epoch(train) [198][ 60/529] lr: 5.000000e-05 eta: 0:40:59 time: 0.351980 data_time: 0.032971 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.884065 2023/08/08 21:24:45 - mmengine - INFO - Epoch(train) [198][ 70/529] lr: 5.000000e-05 eta: 0:40:55 time: 0.352656 data_time: 0.033916 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.944765 2023/08/08 21:24:49 - mmengine - INFO - Epoch(train) [198][ 80/529] lr: 5.000000e-05 eta: 0:40:52 time: 0.351443 data_time: 0.034934 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.962685 2023/08/08 21:24:52 - mmengine - INFO - Epoch(train) [198][ 90/529] lr: 5.000000e-05 eta: 0:40:48 time: 0.351592 data_time: 0.034946 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.924556 2023/08/08 21:24:56 - mmengine - INFO - Epoch(train) [198][100/529] lr: 5.000000e-05 eta: 0:40:44 time: 0.351418 data_time: 0.035644 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.927861 2023/08/08 21:24:59 - mmengine - INFO - Epoch(train) [198][110/529] lr: 5.000000e-05 eta: 0:40:41 time: 0.351422 data_time: 0.035583 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.943727 2023/08/08 21:25:03 - mmengine - INFO - Epoch(train) [198][120/529] lr: 5.000000e-05 eta: 0:40:37 time: 0.353581 data_time: 0.035159 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.951058 2023/08/08 21:25:06 - mmengine - INFO - Epoch(train) [198][130/529] lr: 5.000000e-05 eta: 0:40:34 time: 0.354538 data_time: 0.034662 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.958192 2023/08/08 21:25:10 - mmengine - INFO - Epoch(train) [198][140/529] lr: 5.000000e-05 eta: 0:40:30 time: 0.354906 data_time: 0.034479 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.968526 2023/08/08 21:25:14 - mmengine - INFO - Epoch(train) [198][150/529] lr: 5.000000e-05 eta: 0:40:26 time: 0.356109 data_time: 0.033394 memory: 4565 loss: 0.000494 loss_kpt: 0.000494 acc_pose: 0.959020 2023/08/08 21:25:17 - mmengine - INFO - Epoch(train) [198][160/529] lr: 5.000000e-05 eta: 0:40:23 time: 0.356110 data_time: 0.032939 memory: 4565 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.971310 2023/08/08 21:25:21 - mmengine - INFO - Epoch(train) [198][170/529] lr: 5.000000e-05 eta: 0:40:19 time: 0.354740 data_time: 0.032633 memory: 4565 loss: 0.000489 loss_kpt: 0.000489 acc_pose: 0.942868 2023/08/08 21:25:24 - mmengine - INFO - Epoch(train) [198][180/529] lr: 5.000000e-05 eta: 0:40:16 time: 0.354737 data_time: 0.032532 memory: 4565 loss: 0.000496 loss_kpt: 0.000496 acc_pose: 0.945280 2023/08/08 21:25:28 - mmengine - INFO - Epoch(train) [198][190/529] lr: 5.000000e-05 eta: 0:40:12 time: 0.354599 data_time: 0.032646 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.944765 2023/08/08 21:25:31 - mmengine - INFO - Epoch(train) [198][200/529] lr: 5.000000e-05 eta: 0:40:08 time: 0.351225 data_time: 0.032754 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.918372 2023/08/08 21:25:35 - mmengine - INFO - Epoch(train) [198][210/529] lr: 5.000000e-05 eta: 0:40:05 time: 0.350830 data_time: 0.032350 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.952990 2023/08/08 21:25:38 - mmengine - INFO - Epoch(train) [198][220/529] lr: 5.000000e-05 eta: 0:40:01 time: 0.355046 data_time: 0.035820 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.964703 2023/08/08 21:25:42 - mmengine - INFO - Epoch(train) [198][230/529] lr: 5.000000e-05 eta: 0:39:57 time: 0.354904 data_time: 0.035633 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.892120 2023/08/08 21:25:45 - mmengine - INFO - Epoch(train) [198][240/529] lr: 5.000000e-05 eta: 0:39:54 time: 0.355057 data_time: 0.035827 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.917514 2023/08/08 21:25:49 - mmengine - INFO - Epoch(train) [198][250/529] lr: 5.000000e-05 eta: 0:39:50 time: 0.356898 data_time: 0.036534 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.983133 2023/08/08 21:25:52 - mmengine - INFO - Epoch(train) [198][260/529] lr: 5.000000e-05 eta: 0:39:47 time: 0.356759 data_time: 0.037234 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.905680 2023/08/08 21:25:56 - mmengine - INFO - Epoch(train) [198][270/529] lr: 5.000000e-05 eta: 0:39:43 time: 0.350920 data_time: 0.034099 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.951342 2023/08/08 21:25:59 - mmengine - INFO - Epoch(train) [198][280/529] lr: 5.000000e-05 eta: 0:39:39 time: 0.349538 data_time: 0.034668 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.912607 2023/08/08 21:26:03 - mmengine - INFO - Epoch(train) [198][290/529] lr: 5.000000e-05 eta: 0:39:36 time: 0.350555 data_time: 0.034817 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.907287 2023/08/08 21:26:07 - mmengine - INFO - Epoch(train) [198][300/529] lr: 5.000000e-05 eta: 0:39:32 time: 0.350603 data_time: 0.034202 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.920707 2023/08/08 21:26:10 - mmengine - INFO - Epoch(train) [198][310/529] lr: 5.000000e-05 eta: 0:39:29 time: 0.352356 data_time: 0.033830 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.955642 2023/08/08 21:26:14 - mmengine - INFO - Epoch(train) [198][320/529] lr: 5.000000e-05 eta: 0:39:25 time: 0.353339 data_time: 0.033649 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.898399 2023/08/08 21:26:17 - mmengine - INFO - Epoch(train) [198][330/529] lr: 5.000000e-05 eta: 0:39:21 time: 0.357097 data_time: 0.032923 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.948715 2023/08/08 21:26:21 - mmengine - INFO - Epoch(train) [198][340/529] lr: 5.000000e-05 eta: 0:39:18 time: 0.355670 data_time: 0.032473 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.918093 2023/08/08 21:26:24 - mmengine - INFO - Epoch(train) [198][350/529] lr: 5.000000e-05 eta: 0:39:14 time: 0.354712 data_time: 0.032483 memory: 4565 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.955584 2023/08/08 21:26:28 - mmengine - INFO - Epoch(train) [198][360/529] lr: 5.000000e-05 eta: 0:39:11 time: 0.355352 data_time: 0.032237 memory: 4565 loss: 0.000496 loss_kpt: 0.000496 acc_pose: 0.942831 2023/08/08 21:26:31 - mmengine - INFO - Epoch(train) [198][370/529] lr: 5.000000e-05 eta: 0:39:07 time: 0.356761 data_time: 0.032056 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.928989 2023/08/08 21:26:35 - mmengine - INFO - Epoch(train) [198][380/529] lr: 5.000000e-05 eta: 0:39:03 time: 0.356756 data_time: 0.032398 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.934121 2023/08/08 21:26:39 - mmengine - INFO - Epoch(train) [198][390/529] lr: 5.000000e-05 eta: 0:39:00 time: 0.356143 data_time: 0.032319 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.932052 2023/08/08 21:26:42 - mmengine - INFO - Epoch(train) [198][400/529] lr: 5.000000e-05 eta: 0:38:56 time: 0.355401 data_time: 0.032156 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.980412 2023/08/08 21:26:46 - mmengine - INFO - Epoch(train) [198][410/529] lr: 5.000000e-05 eta: 0:38:52 time: 0.353036 data_time: 0.032096 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.978646 2023/08/08 21:26:49 - mmengine - INFO - Epoch(train) [198][420/529] lr: 5.000000e-05 eta: 0:38:49 time: 0.352989 data_time: 0.032205 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.932961 2023/08/08 21:26:53 - mmengine - INFO - Epoch(train) [198][430/529] lr: 5.000000e-05 eta: 0:38:45 time: 0.350342 data_time: 0.031895 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.925596 2023/08/08 21:26:56 - mmengine - INFO - Epoch(train) [198][440/529] lr: 5.000000e-05 eta: 0:38:42 time: 0.352490 data_time: 0.032158 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.920850 2023/08/08 21:27:00 - mmengine - INFO - Epoch(train) [198][450/529] lr: 5.000000e-05 eta: 0:38:38 time: 0.353292 data_time: 0.032421 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.908763 2023/08/08 21:27:03 - mmengine - INFO - Epoch(train) [198][460/529] lr: 5.000000e-05 eta: 0:38:34 time: 0.357452 data_time: 0.032381 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.941324 2023/08/08 21:27:07 - mmengine - INFO - Epoch(train) [198][470/529] lr: 5.000000e-05 eta: 0:38:31 time: 0.355288 data_time: 0.032040 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.930022 2023/08/08 21:27:10 - mmengine - INFO - Epoch(train) [198][480/529] lr: 5.000000e-05 eta: 0:38:27 time: 0.356440 data_time: 0.032202 memory: 4565 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.906216 2023/08/08 21:27:14 - mmengine - INFO - Epoch(train) [198][490/529] lr: 5.000000e-05 eta: 0:38:24 time: 0.355930 data_time: 0.032129 memory: 4565 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.915357 2023/08/08 21:27:18 - mmengine - INFO - Epoch(train) [198][500/529] lr: 5.000000e-05 eta: 0:38:20 time: 0.360346 data_time: 0.032288 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.975000 2023/08/08 21:27:21 - mmengine - INFO - Epoch(train) [198][510/529] lr: 5.000000e-05 eta: 0:38:16 time: 0.357451 data_time: 0.032789 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.918642 2023/08/08 21:27:25 - mmengine - INFO - Epoch(train) [198][520/529] lr: 5.000000e-05 eta: 0:38:13 time: 0.358272 data_time: 0.033341 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.916994 2023/08/08 21:27:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:27:32 - mmengine - INFO - Epoch(train) [199][ 10/529] lr: 5.000000e-05 eta: 0:38:06 time: 0.360460 data_time: 0.036831 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.967410 2023/08/08 21:27:35 - mmengine - INFO - Epoch(train) [199][ 20/529] lr: 5.000000e-05 eta: 0:38:02 time: 0.358731 data_time: 0.036645 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.945261 2023/08/08 21:27:39 - mmengine - INFO - Epoch(train) [199][ 30/529] lr: 5.000000e-05 eta: 0:37:59 time: 0.358414 data_time: 0.036115 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.897589 2023/08/08 21:27:43 - mmengine - INFO - Epoch(train) [199][ 40/529] lr: 5.000000e-05 eta: 0:37:55 time: 0.361756 data_time: 0.036306 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.960165 2023/08/08 21:27:46 - mmengine - INFO - Epoch(train) [199][ 50/529] lr: 5.000000e-05 eta: 0:37:51 time: 0.363898 data_time: 0.035986 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.944850 2023/08/08 21:27:50 - mmengine - INFO - Epoch(train) [199][ 60/529] lr: 5.000000e-05 eta: 0:37:48 time: 0.359951 data_time: 0.031996 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.903275 2023/08/08 21:27:53 - mmengine - INFO - Epoch(train) [199][ 70/529] lr: 5.000000e-05 eta: 0:37:44 time: 0.360605 data_time: 0.031793 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.977449 2023/08/08 21:27:57 - mmengine - INFO - Epoch(train) [199][ 80/529] lr: 5.000000e-05 eta: 0:37:41 time: 0.362040 data_time: 0.032033 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.963386 2023/08/08 21:28:01 - mmengine - INFO - Epoch(train) [199][ 90/529] lr: 5.000000e-05 eta: 0:37:37 time: 0.362491 data_time: 0.031934 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.872044 2023/08/08 21:28:04 - mmengine - INFO - Epoch(train) [199][100/529] lr: 5.000000e-05 eta: 0:37:33 time: 0.364351 data_time: 0.032882 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.959550 2023/08/08 21:28:08 - mmengine - INFO - Epoch(train) [199][110/529] lr: 5.000000e-05 eta: 0:37:30 time: 0.364618 data_time: 0.032698 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.955543 2023/08/08 21:28:12 - mmengine - INFO - Epoch(train) [199][120/529] lr: 5.000000e-05 eta: 0:37:26 time: 0.365015 data_time: 0.032983 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.928519 2023/08/08 21:28:15 - mmengine - INFO - Epoch(train) [199][130/529] lr: 5.000000e-05 eta: 0:37:23 time: 0.364326 data_time: 0.032708 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.908989 2023/08/08 21:28:19 - mmengine - INFO - Epoch(train) [199][140/529] lr: 5.000000e-05 eta: 0:37:19 time: 0.362762 data_time: 0.032870 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.951409 2023/08/08 21:28:23 - mmengine - INFO - Epoch(train) [199][150/529] lr: 5.000000e-05 eta: 0:37:15 time: 0.364426 data_time: 0.032091 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.965754 2023/08/08 21:28:26 - mmengine - INFO - Epoch(train) [199][160/529] lr: 5.000000e-05 eta: 0:37:12 time: 0.364316 data_time: 0.032191 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.948082 2023/08/08 21:28:30 - mmengine - INFO - Epoch(train) [199][170/529] lr: 5.000000e-05 eta: 0:37:08 time: 0.364541 data_time: 0.032102 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.950239 2023/08/08 21:28:34 - mmengine - INFO - Epoch(train) [199][180/529] lr: 5.000000e-05 eta: 0:37:05 time: 0.363974 data_time: 0.032169 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.950905 2023/08/08 21:28:37 - mmengine - INFO - Epoch(train) [199][190/529] lr: 5.000000e-05 eta: 0:37:01 time: 0.363403 data_time: 0.031781 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.930635 2023/08/08 21:28:41 - mmengine - INFO - Epoch(train) [199][200/529] lr: 5.000000e-05 eta: 0:36:57 time: 0.359703 data_time: 0.031898 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.945490 2023/08/08 21:28:44 - mmengine - INFO - Epoch(train) [199][210/529] lr: 5.000000e-05 eta: 0:36:54 time: 0.361225 data_time: 0.032203 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.923679 2023/08/08 21:28:48 - mmengine - INFO - Epoch(train) [199][220/529] lr: 5.000000e-05 eta: 0:36:50 time: 0.360076 data_time: 0.032558 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.951224 2023/08/08 21:28:52 - mmengine - INFO - Epoch(train) [199][230/529] lr: 5.000000e-05 eta: 0:36:47 time: 0.362544 data_time: 0.032731 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.937088 2023/08/08 21:28:55 - mmengine - INFO - Epoch(train) [199][240/529] lr: 5.000000e-05 eta: 0:36:43 time: 0.362417 data_time: 0.032969 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.945432 2023/08/08 21:28:59 - mmengine - INFO - Epoch(train) [199][250/529] lr: 5.000000e-05 eta: 0:36:39 time: 0.362088 data_time: 0.032702 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.988155 2023/08/08 21:29:02 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:29:02 - mmengine - INFO - Epoch(train) [199][260/529] lr: 5.000000e-05 eta: 0:36:36 time: 0.359890 data_time: 0.032339 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.917190 2023/08/08 21:29:06 - mmengine - INFO - Epoch(train) [199][270/529] lr: 5.000000e-05 eta: 0:36:32 time: 0.359020 data_time: 0.031707 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.908223 2023/08/08 21:29:10 - mmengine - INFO - Epoch(train) [199][280/529] lr: 5.000000e-05 eta: 0:36:29 time: 0.357239 data_time: 0.031809 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.960726 2023/08/08 21:29:13 - mmengine - INFO - Epoch(train) [199][290/529] lr: 5.000000e-05 eta: 0:36:25 time: 0.362805 data_time: 0.035793 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.936507 2023/08/08 21:29:17 - mmengine - INFO - Epoch(train) [199][300/529] lr: 5.000000e-05 eta: 0:36:21 time: 0.364984 data_time: 0.036941 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.929571 2023/08/08 21:29:21 - mmengine - INFO - Epoch(train) [199][310/529] lr: 5.000000e-05 eta: 0:36:18 time: 0.366189 data_time: 0.037482 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.940008 2023/08/08 21:29:24 - mmengine - INFO - Epoch(train) [199][320/529] lr: 5.000000e-05 eta: 0:36:14 time: 0.367296 data_time: 0.037853 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.943142 2023/08/08 21:29:28 - mmengine - INFO - Epoch(train) [199][330/529] lr: 5.000000e-05 eta: 0:36:11 time: 0.370701 data_time: 0.037604 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.935988 2023/08/08 21:29:32 - mmengine - INFO - Epoch(train) [199][340/529] lr: 5.000000e-05 eta: 0:36:07 time: 0.367708 data_time: 0.033779 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.949806 2023/08/08 21:29:35 - mmengine - INFO - Epoch(train) [199][350/529] lr: 5.000000e-05 eta: 0:36:03 time: 0.367133 data_time: 0.033177 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.922644 2023/08/08 21:29:39 - mmengine - INFO - Epoch(train) [199][360/529] lr: 5.000000e-05 eta: 0:36:00 time: 0.370531 data_time: 0.033008 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.946878 2023/08/08 21:29:43 - mmengine - INFO - Epoch(train) [199][370/529] lr: 5.000000e-05 eta: 0:35:56 time: 0.370249 data_time: 0.032874 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.953823 2023/08/08 21:29:46 - mmengine - INFO - Epoch(train) [199][380/529] lr: 5.000000e-05 eta: 0:35:52 time: 0.366363 data_time: 0.032750 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.895544 2023/08/08 21:29:50 - mmengine - INFO - Epoch(train) [199][390/529] lr: 5.000000e-05 eta: 0:35:49 time: 0.363534 data_time: 0.032323 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.935109 2023/08/08 21:29:54 - mmengine - INFO - Epoch(train) [199][400/529] lr: 5.000000e-05 eta: 0:35:45 time: 0.363072 data_time: 0.031961 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.954449 2023/08/08 21:29:57 - mmengine - INFO - Epoch(train) [199][410/529] lr: 5.000000e-05 eta: 0:35:42 time: 0.358785 data_time: 0.031570 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.901120 2023/08/08 21:30:01 - mmengine - INFO - Epoch(train) [199][420/529] lr: 5.000000e-05 eta: 0:35:38 time: 0.360818 data_time: 0.032080 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.944604 2023/08/08 21:30:05 - mmengine - INFO - Epoch(train) [199][430/529] lr: 5.000000e-05 eta: 0:35:34 time: 0.360903 data_time: 0.031946 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.931584 2023/08/08 21:30:08 - mmengine - INFO - Epoch(train) [199][440/529] lr: 5.000000e-05 eta: 0:35:31 time: 0.361723 data_time: 0.032309 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.914633 2023/08/08 21:30:12 - mmengine - INFO - Epoch(train) [199][450/529] lr: 5.000000e-05 eta: 0:35:27 time: 0.360601 data_time: 0.032236 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.939634 2023/08/08 21:30:15 - mmengine - INFO - Epoch(train) [199][460/529] lr: 5.000000e-05 eta: 0:35:24 time: 0.361130 data_time: 0.032166 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.943267 2023/08/08 21:30:19 - mmengine - INFO - Epoch(train) [199][470/529] lr: 5.000000e-05 eta: 0:35:20 time: 0.362977 data_time: 0.031704 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.957864 2023/08/08 21:30:23 - mmengine - INFO - Epoch(train) [199][480/529] lr: 5.000000e-05 eta: 0:35:16 time: 0.364465 data_time: 0.031984 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.897126 2023/08/08 21:30:26 - mmengine - INFO - Epoch(train) [199][490/529] lr: 5.000000e-05 eta: 0:35:13 time: 0.365425 data_time: 0.031884 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.895833 2023/08/08 21:30:30 - mmengine - INFO - Epoch(train) [199][500/529] lr: 5.000000e-05 eta: 0:35:09 time: 0.368510 data_time: 0.031700 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.955705 2023/08/08 21:30:34 - mmengine - INFO - Epoch(train) [199][510/529] lr: 5.000000e-05 eta: 0:35:06 time: 0.367994 data_time: 0.031766 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.932530 2023/08/08 21:30:37 - mmengine - INFO - Epoch(train) [199][520/529] lr: 5.000000e-05 eta: 0:35:02 time: 0.364018 data_time: 0.031560 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.969431 2023/08/08 21:30:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:30:44 - mmengine - INFO - Epoch(train) [200][ 10/529] lr: 5.000000e-05 eta: 0:34:55 time: 0.366914 data_time: 0.035222 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.874235 2023/08/08 21:30:48 - mmengine - INFO - Epoch(train) [200][ 20/529] lr: 5.000000e-05 eta: 0:34:52 time: 0.361948 data_time: 0.035788 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.880037 2023/08/08 21:30:51 - mmengine - INFO - Epoch(train) [200][ 30/529] lr: 5.000000e-05 eta: 0:34:48 time: 0.360632 data_time: 0.035994 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.938230 2023/08/08 21:30:55 - mmengine - INFO - Epoch(train) [200][ 40/529] lr: 5.000000e-05 eta: 0:34:44 time: 0.360362 data_time: 0.036090 memory: 4565 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.954551 2023/08/08 21:30:59 - mmengine - INFO - Epoch(train) [200][ 50/529] lr: 5.000000e-05 eta: 0:34:41 time: 0.358878 data_time: 0.036818 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.929044 2023/08/08 21:31:02 - mmengine - INFO - Epoch(train) [200][ 60/529] lr: 5.000000e-05 eta: 0:34:37 time: 0.354194 data_time: 0.032693 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.911797 2023/08/08 21:31:06 - mmengine - INFO - Epoch(train) [200][ 70/529] lr: 5.000000e-05 eta: 0:34:33 time: 0.354798 data_time: 0.032404 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.942991 2023/08/08 21:31:09 - mmengine - INFO - Epoch(train) [200][ 80/529] lr: 5.000000e-05 eta: 0:34:30 time: 0.359222 data_time: 0.032716 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.950269 2023/08/08 21:31:13 - mmengine - INFO - Epoch(train) [200][ 90/529] lr: 5.000000e-05 eta: 0:34:26 time: 0.356657 data_time: 0.032598 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.917600 2023/08/08 21:31:16 - mmengine - INFO - Epoch(train) [200][100/529] lr: 5.000000e-05 eta: 0:34:23 time: 0.356013 data_time: 0.032597 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.889742 2023/08/08 21:31:20 - mmengine - INFO - Epoch(train) [200][110/529] lr: 5.000000e-05 eta: 0:34:19 time: 0.363220 data_time: 0.036189 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.916308 2023/08/08 21:31:24 - mmengine - INFO - Epoch(train) [200][120/529] lr: 5.000000e-05 eta: 0:34:15 time: 0.369282 data_time: 0.036569 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.933826 2023/08/08 21:31:28 - mmengine - INFO - Epoch(train) [200][130/529] lr: 5.000000e-05 eta: 0:34:12 time: 0.368234 data_time: 0.036154 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.922790 2023/08/08 21:31:31 - mmengine - INFO - Epoch(train) [200][140/529] lr: 5.000000e-05 eta: 0:34:08 time: 0.370417 data_time: 0.036531 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.969908 2023/08/08 21:31:35 - mmengine - INFO - Epoch(train) [200][150/529] lr: 5.000000e-05 eta: 0:34:05 time: 0.370326 data_time: 0.036611 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.903902 2023/08/08 21:31:38 - mmengine - INFO - Epoch(train) [200][160/529] lr: 5.000000e-05 eta: 0:34:01 time: 0.360720 data_time: 0.032787 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.956461 2023/08/08 21:31:42 - mmengine - INFO - Epoch(train) [200][170/529] lr: 5.000000e-05 eta: 0:33:57 time: 0.352989 data_time: 0.032300 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.968094 2023/08/08 21:31:45 - mmengine - INFO - Epoch(train) [200][180/529] lr: 5.000000e-05 eta: 0:33:54 time: 0.349372 data_time: 0.032392 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.912057 2023/08/08 21:31:49 - mmengine - INFO - Epoch(train) [200][190/529] lr: 5.000000e-05 eta: 0:33:50 time: 0.349652 data_time: 0.032242 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.931494 2023/08/08 21:31:52 - mmengine - INFO - Epoch(train) [200][200/529] lr: 5.000000e-05 eta: 0:33:47 time: 0.351228 data_time: 0.032543 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.897898 2023/08/08 21:31:56 - mmengine - INFO - Epoch(train) [200][210/529] lr: 5.000000e-05 eta: 0:33:43 time: 0.355910 data_time: 0.034168 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.939130 2023/08/08 21:32:00 - mmengine - INFO - Epoch(train) [200][220/529] lr: 5.000000e-05 eta: 0:33:39 time: 0.358239 data_time: 0.034281 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.935904 2023/08/08 21:32:03 - mmengine - INFO - Epoch(train) [200][230/529] lr: 5.000000e-05 eta: 0:33:36 time: 0.359648 data_time: 0.034259 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.939555 2023/08/08 21:32:07 - mmengine - INFO - Epoch(train) [200][240/529] lr: 5.000000e-05 eta: 0:33:32 time: 0.359767 data_time: 0.034360 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.963482 2023/08/08 21:32:11 - mmengine - INFO - Epoch(train) [200][250/529] lr: 5.000000e-05 eta: 0:33:29 time: 0.362457 data_time: 0.034153 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.898227 2023/08/08 21:32:14 - mmengine - INFO - Epoch(train) [200][260/529] lr: 5.000000e-05 eta: 0:33:25 time: 0.360365 data_time: 0.032349 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.928576 2023/08/08 21:32:18 - mmengine - INFO - Epoch(train) [200][270/529] lr: 5.000000e-05 eta: 0:33:21 time: 0.361429 data_time: 0.032442 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.923494 2023/08/08 21:32:21 - mmengine - INFO - Epoch(train) [200][280/529] lr: 5.000000e-05 eta: 0:33:18 time: 0.361244 data_time: 0.032442 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.929037 2023/08/08 21:32:25 - mmengine - INFO - Epoch(train) [200][290/529] lr: 5.000000e-05 eta: 0:33:14 time: 0.363104 data_time: 0.032155 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.946389 2023/08/08 21:32:29 - mmengine - INFO - Epoch(train) [200][300/529] lr: 5.000000e-05 eta: 0:33:11 time: 0.363247 data_time: 0.031969 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.966992 2023/08/08 21:32:32 - mmengine - INFO - Epoch(train) [200][310/529] lr: 5.000000e-05 eta: 0:33:07 time: 0.364497 data_time: 0.032189 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.969315 2023/08/08 21:32:36 - mmengine - INFO - Epoch(train) [200][320/529] lr: 5.000000e-05 eta: 0:33:03 time: 0.363722 data_time: 0.032185 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.950426 2023/08/08 21:32:40 - mmengine - INFO - Epoch(train) [200][330/529] lr: 5.000000e-05 eta: 0:33:00 time: 0.369580 data_time: 0.032230 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.928054 2023/08/08 21:32:44 - mmengine - INFO - Epoch(train) [200][340/529] lr: 5.000000e-05 eta: 0:32:56 time: 0.374419 data_time: 0.032609 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.926454 2023/08/08 21:32:48 - mmengine - INFO - Epoch(train) [200][350/529] lr: 5.000000e-05 eta: 0:32:53 time: 0.379277 data_time: 0.033120 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.964480 2023/08/08 21:32:51 - mmengine - INFO - Epoch(train) [200][360/529] lr: 5.000000e-05 eta: 0:32:49 time: 0.377673 data_time: 0.033082 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.948058 2023/08/08 21:32:55 - mmengine - INFO - Epoch(train) [200][370/529] lr: 5.000000e-05 eta: 0:32:45 time: 0.377940 data_time: 0.033160 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.962317 2023/08/08 21:32:59 - mmengine - INFO - Epoch(train) [200][380/529] lr: 5.000000e-05 eta: 0:32:42 time: 0.372988 data_time: 0.033376 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.923125 2023/08/08 21:33:02 - mmengine - INFO - Epoch(train) [200][390/529] lr: 5.000000e-05 eta: 0:32:38 time: 0.367284 data_time: 0.033519 memory: 4565 loss: 0.000495 loss_kpt: 0.000495 acc_pose: 0.929965 2023/08/08 21:33:06 - mmengine - INFO - Epoch(train) [200][400/529] lr: 5.000000e-05 eta: 0:32:34 time: 0.362084 data_time: 0.033319 memory: 4565 loss: 0.000496 loss_kpt: 0.000496 acc_pose: 0.912783 2023/08/08 21:33:09 - mmengine - INFO - Epoch(train) [200][410/529] lr: 5.000000e-05 eta: 0:32:31 time: 0.362245 data_time: 0.033420 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.949661 2023/08/08 21:33:13 - mmengine - INFO - Epoch(train) [200][420/529] lr: 5.000000e-05 eta: 0:32:27 time: 0.361318 data_time: 0.033265 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.959895 2023/08/08 21:33:17 - mmengine - INFO - Epoch(train) [200][430/529] lr: 5.000000e-05 eta: 0:32:24 time: 0.364276 data_time: 0.033149 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.953106 2023/08/08 21:33:20 - mmengine - INFO - Epoch(train) [200][440/529] lr: 5.000000e-05 eta: 0:32:20 time: 0.364173 data_time: 0.032851 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.925666 2023/08/08 21:33:24 - mmengine - INFO - Epoch(train) [200][450/529] lr: 5.000000e-05 eta: 0:32:16 time: 0.362396 data_time: 0.032919 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.950366 2023/08/08 21:33:28 - mmengine - INFO - Epoch(train) [200][460/529] lr: 5.000000e-05 eta: 0:32:13 time: 0.365518 data_time: 0.033071 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.918141 2023/08/08 21:33:31 - mmengine - INFO - Epoch(train) [200][470/529] lr: 5.000000e-05 eta: 0:32:09 time: 0.365651 data_time: 0.033047 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.943696 2023/08/08 21:33:35 - mmengine - INFO - Epoch(train) [200][480/529] lr: 5.000000e-05 eta: 0:32:06 time: 0.361710 data_time: 0.032917 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.955120 2023/08/08 21:33:38 - mmengine - INFO - Epoch(train) [200][490/529] lr: 5.000000e-05 eta: 0:32:02 time: 0.359978 data_time: 0.032929 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.925489 2023/08/08 21:33:42 - mmengine - INFO - Epoch(train) [200][500/529] lr: 5.000000e-05 eta: 0:31:58 time: 0.363087 data_time: 0.032939 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.927991 2023/08/08 21:33:46 - mmengine - INFO - Epoch(train) [200][510/529] lr: 5.000000e-05 eta: 0:31:55 time: 0.360508 data_time: 0.032735 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.975377 2023/08/08 21:33:49 - mmengine - INFO - Epoch(train) [200][520/529] lr: 5.000000e-05 eta: 0:31:51 time: 0.361645 data_time: 0.032625 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.930943 2023/08/08 21:33:53 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:33:53 - mmengine - INFO - Saving checkpoint at 200 epochs 2023/08/08 21:33:59 - mmengine - INFO - Epoch(val) [200][ 10/127] eta: 0:00:24 time: 0.198872 data_time: 0.013476 memory: 4565 2023/08/08 21:34:01 - mmengine - INFO - Epoch(val) [200][ 20/127] eta: 0:00:21 time: 0.198931 data_time: 0.013359 memory: 1634 2023/08/08 21:34:03 - mmengine - INFO - Epoch(val) [200][ 30/127] eta: 0:00:19 time: 0.198885 data_time: 0.013220 memory: 1634 2023/08/08 21:34:05 - mmengine - INFO - Epoch(val) [200][ 40/127] eta: 0:00:17 time: 0.199217 data_time: 0.013287 memory: 1634 2023/08/08 21:34:07 - mmengine - INFO - Epoch(val) [200][ 50/127] eta: 0:00:15 time: 0.201036 data_time: 0.013307 memory: 1634 2023/08/08 21:34:09 - mmengine - INFO - Epoch(val) [200][ 60/127] eta: 0:00:13 time: 0.198641 data_time: 0.011244 memory: 1634 2023/08/08 21:34:11 - mmengine - INFO - Epoch(val) [200][ 70/127] eta: 0:00:11 time: 0.198589 data_time: 0.011253 memory: 1634 2023/08/08 21:34:13 - mmengine - INFO - Epoch(val) [200][ 80/127] eta: 0:00:09 time: 0.199133 data_time: 0.011689 memory: 1634 2023/08/08 21:34:15 - mmengine - INFO - Epoch(val) [200][ 90/127] eta: 0:00:07 time: 0.198991 data_time: 0.011863 memory: 1634 2023/08/08 21:34:17 - mmengine - INFO - Epoch(val) [200][100/127] eta: 0:00:05 time: 0.199116 data_time: 0.012119 memory: 1634 2023/08/08 21:34:19 - mmengine - INFO - Epoch(val) [200][110/127] eta: 0:00:03 time: 0.198889 data_time: 0.012072 memory: 1634 2023/08/08 21:34:21 - mmengine - INFO - Epoch(val) [200][120/127] eta: 0:00:01 time: 0.198985 data_time: 0.012146 memory: 1634 2023/08/08 21:34:22 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 21:34:22 - mmengine - INFO - Evaluating AUC... 2023/08/08 21:34:23 - mmengine - INFO - Evaluating EPE... 2023/08/08 21:34:23 - mmengine - INFO - Epoch(val) [200][127/127] PCK: 0.983037 AUC: 0.675171 EPE: 11.564530 data_time: 0.012313 time: 0.198182 2023/08/08 21:34:26 - mmengine - INFO - Epoch(train) [201][ 10/529] lr: 5.000000e-06 eta: 0:31:44 time: 0.363710 data_time: 0.036707 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.959841 2023/08/08 21:34:30 - mmengine - INFO - Epoch(train) [201][ 20/529] lr: 5.000000e-06 eta: 0:31:41 time: 0.360902 data_time: 0.037304 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.949525 2023/08/08 21:34:34 - mmengine - INFO - Epoch(train) [201][ 30/529] lr: 5.000000e-06 eta: 0:31:37 time: 0.360580 data_time: 0.037257 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.945128 2023/08/08 21:34:37 - mmengine - INFO - Epoch(train) [201][ 40/529] lr: 5.000000e-06 eta: 0:31:34 time: 0.358836 data_time: 0.037815 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.933659 2023/08/08 21:34:41 - mmengine - INFO - Epoch(train) [201][ 50/529] lr: 5.000000e-06 eta: 0:31:30 time: 0.358377 data_time: 0.038045 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.942807 2023/08/08 21:34:44 - mmengine - INFO - Epoch(train) [201][ 60/529] lr: 5.000000e-06 eta: 0:31:26 time: 0.353952 data_time: 0.033447 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.910721 2023/08/08 21:34:48 - mmengine - INFO - Epoch(train) [201][ 70/529] lr: 5.000000e-06 eta: 0:31:23 time: 0.352286 data_time: 0.032299 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.912225 2023/08/08 21:34:51 - mmengine - INFO - Epoch(train) [201][ 80/529] lr: 5.000000e-06 eta: 0:31:19 time: 0.352692 data_time: 0.032368 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.938017 2023/08/08 21:34:55 - mmengine - INFO - Epoch(train) [201][ 90/529] lr: 5.000000e-06 eta: 0:31:15 time: 0.351178 data_time: 0.031903 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.971403 2023/08/08 21:34:59 - mmengine - INFO - Epoch(train) [201][100/529] lr: 5.000000e-06 eta: 0:31:12 time: 0.359361 data_time: 0.036012 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.892069 2023/08/08 21:35:02 - mmengine - INFO - Epoch(train) [201][110/529] lr: 5.000000e-06 eta: 0:31:08 time: 0.368459 data_time: 0.036867 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.932133 2023/08/08 21:35:06 - mmengine - INFO - Epoch(train) [201][120/529] lr: 5.000000e-06 eta: 0:31:05 time: 0.367213 data_time: 0.037100 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.962659 2023/08/08 21:35:09 - mmengine - INFO - Epoch(train) [201][130/529] lr: 5.000000e-06 eta: 0:31:01 time: 0.365328 data_time: 0.036796 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.897257 2023/08/08 21:35:13 - mmengine - INFO - Epoch(train) [201][140/529] lr: 5.000000e-06 eta: 0:30:57 time: 0.366812 data_time: 0.036752 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.936196 2023/08/08 21:35:17 - mmengine - INFO - Epoch(train) [201][150/529] lr: 5.000000e-06 eta: 0:30:54 time: 0.359706 data_time: 0.032878 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.935594 2023/08/08 21:35:20 - mmengine - INFO - Epoch(train) [201][160/529] lr: 5.000000e-06 eta: 0:30:50 time: 0.352356 data_time: 0.032140 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.952621 2023/08/08 21:35:24 - mmengine - INFO - Epoch(train) [201][170/529] lr: 5.000000e-06 eta: 0:30:47 time: 0.352795 data_time: 0.032339 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.838611 2023/08/08 21:35:27 - mmengine - INFO - Epoch(train) [201][180/529] lr: 5.000000e-06 eta: 0:30:43 time: 0.353388 data_time: 0.032394 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.932055 2023/08/08 21:35:31 - mmengine - INFO - Epoch(train) [201][190/529] lr: 5.000000e-06 eta: 0:30:39 time: 0.352047 data_time: 0.032364 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.927836 2023/08/08 21:35:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:35:34 - mmengine - INFO - Epoch(train) [201][200/529] lr: 5.000000e-06 eta: 0:30:36 time: 0.351394 data_time: 0.032386 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.918768 2023/08/08 21:35:38 - mmengine - INFO - Epoch(train) [201][210/529] lr: 5.000000e-06 eta: 0:30:32 time: 0.350204 data_time: 0.032281 memory: 4565 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.860889 2023/08/08 21:35:41 - mmengine - INFO - Epoch(train) [201][220/529] lr: 5.000000e-06 eta: 0:30:29 time: 0.350920 data_time: 0.032421 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.873469 2023/08/08 21:35:45 - mmengine - INFO - Epoch(train) [201][230/529] lr: 5.000000e-06 eta: 0:30:25 time: 0.355242 data_time: 0.032532 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.927289 2023/08/08 21:35:48 - mmengine - INFO - Epoch(train) [201][240/529] lr: 5.000000e-06 eta: 0:30:21 time: 0.356680 data_time: 0.032505 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.953943 2023/08/08 21:35:52 - mmengine - INFO - Epoch(train) [201][250/529] lr: 5.000000e-06 eta: 0:30:18 time: 0.356290 data_time: 0.032598 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.953247 2023/08/08 21:35:56 - mmengine - INFO - Epoch(train) [201][260/529] lr: 5.000000e-06 eta: 0:30:14 time: 0.357998 data_time: 0.032491 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.915685 2023/08/08 21:35:59 - mmengine - INFO - Epoch(train) [201][270/529] lr: 5.000000e-06 eta: 0:30:11 time: 0.362586 data_time: 0.032289 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.960833 2023/08/08 21:36:03 - mmengine - INFO - Epoch(train) [201][280/529] lr: 5.000000e-06 eta: 0:30:07 time: 0.357169 data_time: 0.032111 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.926009 2023/08/08 21:36:06 - mmengine - INFO - Epoch(train) [201][290/529] lr: 5.000000e-06 eta: 0:30:03 time: 0.358263 data_time: 0.032458 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.946475 2023/08/08 21:36:10 - mmengine - INFO - Epoch(train) [201][300/529] lr: 5.000000e-06 eta: 0:30:00 time: 0.358233 data_time: 0.032362 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.953063 2023/08/08 21:36:13 - mmengine - INFO - Epoch(train) [201][310/529] lr: 5.000000e-06 eta: 0:29:56 time: 0.355928 data_time: 0.033010 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.968439 2023/08/08 21:36:17 - mmengine - INFO - Epoch(train) [201][320/529] lr: 5.000000e-06 eta: 0:29:52 time: 0.350669 data_time: 0.032828 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.951889 2023/08/08 21:36:21 - mmengine - INFO - Epoch(train) [201][330/529] lr: 5.000000e-06 eta: 0:29:49 time: 0.355836 data_time: 0.037490 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.957669 2023/08/08 21:36:24 - mmengine - INFO - Epoch(train) [201][340/529] lr: 5.000000e-06 eta: 0:29:45 time: 0.355145 data_time: 0.037262 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.952246 2023/08/08 21:36:28 - mmengine - INFO - Epoch(train) [201][350/529] lr: 5.000000e-06 eta: 0:29:42 time: 0.356665 data_time: 0.037644 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.938208 2023/08/08 21:36:31 - mmengine - INFO - Epoch(train) [201][360/529] lr: 5.000000e-06 eta: 0:29:38 time: 0.357623 data_time: 0.037777 memory: 4565 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.957376 2023/08/08 21:36:35 - mmengine - INFO - Epoch(train) [201][370/529] lr: 5.000000e-06 eta: 0:29:34 time: 0.358054 data_time: 0.037741 memory: 4565 loss: 0.000489 loss_kpt: 0.000489 acc_pose: 0.947385 2023/08/08 21:36:38 - mmengine - INFO - Epoch(train) [201][380/529] lr: 5.000000e-06 eta: 0:29:31 time: 0.353043 data_time: 0.033328 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.911139 2023/08/08 21:36:42 - mmengine - INFO - Epoch(train) [201][390/529] lr: 5.000000e-06 eta: 0:29:27 time: 0.354946 data_time: 0.033167 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.956653 2023/08/08 21:36:46 - mmengine - INFO - Epoch(train) [201][400/529] lr: 5.000000e-06 eta: 0:29:24 time: 0.355233 data_time: 0.032591 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.891242 2023/08/08 21:36:49 - mmengine - INFO - Epoch(train) [201][410/529] lr: 5.000000e-06 eta: 0:29:20 time: 0.355350 data_time: 0.032120 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.913641 2023/08/08 21:36:53 - mmengine - INFO - Epoch(train) [201][420/529] lr: 5.000000e-06 eta: 0:29:16 time: 0.357304 data_time: 0.032721 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.978997 2023/08/08 21:36:56 - mmengine - INFO - Epoch(train) [201][430/529] lr: 5.000000e-06 eta: 0:29:13 time: 0.360437 data_time: 0.035905 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.928198 2023/08/08 21:37:00 - mmengine - INFO - Epoch(train) [201][440/529] lr: 5.000000e-06 eta: 0:29:09 time: 0.356925 data_time: 0.036069 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.925070 2023/08/08 21:37:03 - mmengine - INFO - Epoch(train) [201][450/529] lr: 5.000000e-06 eta: 0:29:06 time: 0.354583 data_time: 0.035928 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.951901 2023/08/08 21:37:07 - mmengine - INFO - Epoch(train) [201][460/529] lr: 5.000000e-06 eta: 0:29:02 time: 0.353599 data_time: 0.036072 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.926000 2023/08/08 21:37:10 - mmengine - INFO - Epoch(train) [201][470/529] lr: 5.000000e-06 eta: 0:28:58 time: 0.352328 data_time: 0.035676 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.939329 2023/08/08 21:37:14 - mmengine - INFO - Epoch(train) [201][480/529] lr: 5.000000e-06 eta: 0:28:55 time: 0.351456 data_time: 0.032701 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.931147 2023/08/08 21:37:18 - mmengine - INFO - Epoch(train) [201][490/529] lr: 5.000000e-06 eta: 0:28:51 time: 0.355782 data_time: 0.033253 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.957199 2023/08/08 21:37:22 - mmengine - INFO - Epoch(train) [201][500/529] lr: 5.000000e-06 eta: 0:28:48 time: 0.367100 data_time: 0.033495 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.956073 2023/08/08 21:37:26 - mmengine - INFO - Epoch(train) [201][510/529] lr: 5.000000e-06 eta: 0:28:44 time: 0.375870 data_time: 0.033592 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.937304 2023/08/08 21:37:30 - mmengine - INFO - Epoch(train) [201][520/529] lr: 5.000000e-06 eta: 0:28:40 time: 0.386034 data_time: 0.033786 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.912404 2023/08/08 21:37:33 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:37:37 - mmengine - INFO - Epoch(train) [202][ 10/529] lr: 5.000000e-06 eta: 0:28:34 time: 0.397843 data_time: 0.036930 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.925172 2023/08/08 21:37:41 - mmengine - INFO - Epoch(train) [202][ 20/529] lr: 5.000000e-06 eta: 0:28:30 time: 0.389990 data_time: 0.037217 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.974895 2023/08/08 21:37:44 - mmengine - INFO - Epoch(train) [202][ 30/529] lr: 5.000000e-06 eta: 0:28:26 time: 0.382223 data_time: 0.036718 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.979009 2023/08/08 21:37:48 - mmengine - INFO - Epoch(train) [202][ 40/529] lr: 5.000000e-06 eta: 0:28:23 time: 0.372823 data_time: 0.036464 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.962707 2023/08/08 21:37:52 - mmengine - INFO - Epoch(train) [202][ 50/529] lr: 5.000000e-06 eta: 0:28:19 time: 0.366248 data_time: 0.036889 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.893474 2023/08/08 21:37:55 - mmengine - INFO - Epoch(train) [202][ 60/529] lr: 5.000000e-06 eta: 0:28:15 time: 0.359612 data_time: 0.032704 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.961310 2023/08/08 21:37:59 - mmengine - INFO - Epoch(train) [202][ 70/529] lr: 5.000000e-06 eta: 0:28:12 time: 0.358354 data_time: 0.032268 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.907776 2023/08/08 21:38:02 - mmengine - INFO - Epoch(train) [202][ 80/529] lr: 5.000000e-06 eta: 0:28:08 time: 0.359626 data_time: 0.032690 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.912776 2023/08/08 21:38:06 - mmengine - INFO - Epoch(train) [202][ 90/529] lr: 5.000000e-06 eta: 0:28:05 time: 0.358803 data_time: 0.032461 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.914924 2023/08/08 21:38:09 - mmengine - INFO - Epoch(train) [202][100/529] lr: 5.000000e-06 eta: 0:28:01 time: 0.358284 data_time: 0.032308 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.966008 2023/08/08 21:38:13 - mmengine - INFO - Epoch(train) [202][110/529] lr: 5.000000e-06 eta: 0:27:57 time: 0.356249 data_time: 0.032040 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.969439 2023/08/08 21:38:17 - mmengine - INFO - Epoch(train) [202][120/529] lr: 5.000000e-06 eta: 0:27:54 time: 0.361245 data_time: 0.036202 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.945972 2023/08/08 21:38:20 - mmengine - INFO - Epoch(train) [202][130/529] lr: 5.000000e-06 eta: 0:27:50 time: 0.360156 data_time: 0.035917 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.958488 2023/08/08 21:38:24 - mmengine - INFO - Epoch(train) [202][140/529] lr: 5.000000e-06 eta: 0:27:47 time: 0.365170 data_time: 0.036370 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.910264 2023/08/08 21:38:28 - mmengine - INFO - Epoch(train) [202][150/529] lr: 5.000000e-06 eta: 0:27:43 time: 0.365780 data_time: 0.036397 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.974274 2023/08/08 21:38:31 - mmengine - INFO - Epoch(train) [202][160/529] lr: 5.000000e-06 eta: 0:27:39 time: 0.365949 data_time: 0.036486 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.956449 2023/08/08 21:38:35 - mmengine - INFO - Epoch(train) [202][170/529] lr: 5.000000e-06 eta: 0:27:36 time: 0.361087 data_time: 0.032238 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.956092 2023/08/08 21:38:38 - mmengine - INFO - Epoch(train) [202][180/529] lr: 5.000000e-06 eta: 0:27:32 time: 0.361805 data_time: 0.032261 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.974477 2023/08/08 21:38:42 - mmengine - INFO - Epoch(train) [202][190/529] lr: 5.000000e-06 eta: 0:27:29 time: 0.357597 data_time: 0.031909 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.910833 2023/08/08 21:38:46 - mmengine - INFO - Epoch(train) [202][200/529] lr: 5.000000e-06 eta: 0:27:25 time: 0.358847 data_time: 0.032159 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.931356 2023/08/08 21:38:49 - mmengine - INFO - Epoch(train) [202][210/529] lr: 5.000000e-06 eta: 0:27:21 time: 0.360447 data_time: 0.032042 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.978441 2023/08/08 21:38:53 - mmengine - INFO - Epoch(train) [202][220/529] lr: 5.000000e-06 eta: 0:27:18 time: 0.360394 data_time: 0.032104 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.931614 2023/08/08 21:38:56 - mmengine - INFO - Epoch(train) [202][230/529] lr: 5.000000e-06 eta: 0:27:14 time: 0.359659 data_time: 0.031931 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.936768 2023/08/08 21:39:00 - mmengine - INFO - Epoch(train) [202][240/529] lr: 5.000000e-06 eta: 0:27:11 time: 0.359169 data_time: 0.031757 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.928592 2023/08/08 21:39:04 - mmengine - INFO - Epoch(train) [202][250/529] lr: 5.000000e-06 eta: 0:27:07 time: 0.358151 data_time: 0.031518 memory: 4565 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.928493 2023/08/08 21:39:07 - mmengine - INFO - Epoch(train) [202][260/529] lr: 5.000000e-06 eta: 0:27:03 time: 0.356455 data_time: 0.031752 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.931448 2023/08/08 21:39:11 - mmengine - INFO - Epoch(train) [202][270/529] lr: 5.000000e-06 eta: 0:27:00 time: 0.360871 data_time: 0.031990 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.914004 2023/08/08 21:39:15 - mmengine - INFO - Epoch(train) [202][280/529] lr: 5.000000e-06 eta: 0:26:56 time: 0.368255 data_time: 0.032452 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.955392 2023/08/08 21:39:19 - mmengine - INFO - Epoch(train) [202][290/529] lr: 5.000000e-06 eta: 0:26:53 time: 0.376556 data_time: 0.032763 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.882854 2023/08/08 21:39:22 - mmengine - INFO - Epoch(train) [202][300/529] lr: 5.000000e-06 eta: 0:26:49 time: 0.375617 data_time: 0.032862 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.936280 2023/08/08 21:39:26 - mmengine - INFO - Epoch(train) [202][310/529] lr: 5.000000e-06 eta: 0:26:45 time: 0.378338 data_time: 0.033081 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.907525 2023/08/08 21:39:30 - mmengine - INFO - Epoch(train) [202][320/529] lr: 5.000000e-06 eta: 0:26:42 time: 0.378955 data_time: 0.033302 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.941388 2023/08/08 21:39:34 - mmengine - INFO - Epoch(train) [202][330/529] lr: 5.000000e-06 eta: 0:26:38 time: 0.380745 data_time: 0.033306 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.904357 2023/08/08 21:39:38 - mmengine - INFO - Epoch(train) [202][340/529] lr: 5.000000e-06 eta: 0:26:35 time: 0.380666 data_time: 0.033578 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.916060 2023/08/08 21:39:42 - mmengine - INFO - Epoch(train) [202][350/529] lr: 5.000000e-06 eta: 0:26:31 time: 0.382803 data_time: 0.033488 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.933699 2023/08/08 21:39:45 - mmengine - INFO - Epoch(train) [202][360/529] lr: 5.000000e-06 eta: 0:26:27 time: 0.380457 data_time: 0.033084 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.982111 2023/08/08 21:39:49 - mmengine - INFO - Epoch(train) [202][370/529] lr: 5.000000e-06 eta: 0:26:24 time: 0.376015 data_time: 0.032736 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.943727 2023/08/08 21:39:53 - mmengine - INFO - Epoch(train) [202][380/529] lr: 5.000000e-06 eta: 0:26:20 time: 0.371025 data_time: 0.035918 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.946511 2023/08/08 21:39:56 - mmengine - INFO - Epoch(train) [202][390/529] lr: 5.000000e-06 eta: 0:26:16 time: 0.364178 data_time: 0.035463 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.925116 2023/08/08 21:40:00 - mmengine - INFO - Epoch(train) [202][400/529] lr: 5.000000e-06 eta: 0:26:13 time: 0.362472 data_time: 0.035493 memory: 4565 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.909466 2023/08/08 21:40:03 - mmengine - INFO - Epoch(train) [202][410/529] lr: 5.000000e-06 eta: 0:26:09 time: 0.362435 data_time: 0.035378 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.935517 2023/08/08 21:40:07 - mmengine - INFO - Epoch(train) [202][420/529] lr: 5.000000e-06 eta: 0:26:06 time: 0.361572 data_time: 0.035274 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.891180 2023/08/08 21:40:11 - mmengine - INFO - Epoch(train) [202][430/529] lr: 5.000000e-06 eta: 0:26:02 time: 0.360085 data_time: 0.032085 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.964153 2023/08/08 21:40:14 - mmengine - INFO - Epoch(train) [202][440/529] lr: 5.000000e-06 eta: 0:25:58 time: 0.358927 data_time: 0.032002 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.962803 2023/08/08 21:40:18 - mmengine - INFO - Epoch(train) [202][450/529] lr: 5.000000e-06 eta: 0:25:55 time: 0.363955 data_time: 0.032421 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.955835 2023/08/08 21:40:22 - mmengine - INFO - Epoch(train) [202][460/529] lr: 5.000000e-06 eta: 0:25:51 time: 0.363678 data_time: 0.032470 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.900600 2023/08/08 21:40:25 - mmengine - INFO - Epoch(train) [202][470/529] lr: 5.000000e-06 eta: 0:25:48 time: 0.363533 data_time: 0.032510 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.921617 2023/08/08 21:40:29 - mmengine - INFO - Epoch(train) [202][480/529] lr: 5.000000e-06 eta: 0:25:44 time: 0.361035 data_time: 0.032202 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.867528 2023/08/08 21:40:32 - mmengine - INFO - Epoch(train) [202][490/529] lr: 5.000000e-06 eta: 0:25:40 time: 0.361716 data_time: 0.032353 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.931665 2023/08/08 21:40:36 - mmengine - INFO - Epoch(train) [202][500/529] lr: 5.000000e-06 eta: 0:25:37 time: 0.357782 data_time: 0.032258 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.948277 2023/08/08 21:40:39 - mmengine - INFO - Epoch(train) [202][510/529] lr: 5.000000e-06 eta: 0:25:33 time: 0.358921 data_time: 0.032866 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.943503 2023/08/08 21:40:43 - mmengine - INFO - Epoch(train) [202][520/529] lr: 5.000000e-06 eta: 0:25:30 time: 0.360187 data_time: 0.033065 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.956581 2023/08/08 21:40:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:40:50 - mmengine - INFO - Epoch(train) [203][ 10/529] lr: 5.000000e-06 eta: 0:25:23 time: 0.362080 data_time: 0.036989 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.962663 2023/08/08 21:40:54 - mmengine - INFO - Epoch(train) [203][ 20/529] lr: 5.000000e-06 eta: 0:25:19 time: 0.359919 data_time: 0.036765 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.920474 2023/08/08 21:40:57 - mmengine - INFO - Epoch(train) [203][ 30/529] lr: 5.000000e-06 eta: 0:25:16 time: 0.359283 data_time: 0.036406 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.878715 2023/08/08 21:41:01 - mmengine - INFO - Epoch(train) [203][ 40/529] lr: 5.000000e-06 eta: 0:25:12 time: 0.357365 data_time: 0.036961 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.917718 2023/08/08 21:41:04 - mmengine - INFO - Epoch(train) [203][ 50/529] lr: 5.000000e-06 eta: 0:25:08 time: 0.362065 data_time: 0.041138 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.967901 2023/08/08 21:41:08 - mmengine - INFO - Epoch(train) [203][ 60/529] lr: 5.000000e-06 eta: 0:25:05 time: 0.357609 data_time: 0.036992 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.947937 2023/08/08 21:41:11 - mmengine - INFO - Epoch(train) [203][ 70/529] lr: 5.000000e-06 eta: 0:25:01 time: 0.356890 data_time: 0.036789 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.977995 2023/08/08 21:41:15 - mmengine - INFO - Epoch(train) [203][ 80/529] lr: 5.000000e-06 eta: 0:24:57 time: 0.357720 data_time: 0.037288 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.950984 2023/08/08 21:41:19 - mmengine - INFO - Epoch(train) [203][ 90/529] lr: 5.000000e-06 eta: 0:24:54 time: 0.358111 data_time: 0.036949 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.956178 2023/08/08 21:41:22 - mmengine - INFO - Epoch(train) [203][100/529] lr: 5.000000e-06 eta: 0:24:50 time: 0.355311 data_time: 0.033000 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.942104 2023/08/08 21:41:26 - mmengine - INFO - Epoch(train) [203][110/529] lr: 5.000000e-06 eta: 0:24:47 time: 0.355821 data_time: 0.033050 memory: 4565 loss: 0.000502 loss_kpt: 0.000502 acc_pose: 0.913213 2023/08/08 21:41:29 - mmengine - INFO - Epoch(train) [203][120/529] lr: 5.000000e-06 eta: 0:24:43 time: 0.357751 data_time: 0.033232 memory: 4565 loss: 0.000500 loss_kpt: 0.000500 acc_pose: 0.885452 2023/08/08 21:41:33 - mmengine - INFO - Epoch(train) [203][130/529] lr: 5.000000e-06 eta: 0:24:39 time: 0.356290 data_time: 0.032682 memory: 4565 loss: 0.000495 loss_kpt: 0.000495 acc_pose: 0.943808 2023/08/08 21:41:36 - mmengine - INFO - Epoch(train) [203][140/529] lr: 5.000000e-06 eta: 0:24:36 time: 0.355218 data_time: 0.032266 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.961558 2023/08/08 21:41:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:41:40 - mmengine - INFO - Epoch(train) [203][150/529] lr: 5.000000e-06 eta: 0:24:32 time: 0.352112 data_time: 0.032145 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.928903 2023/08/08 21:41:43 - mmengine - INFO - Epoch(train) [203][160/529] lr: 5.000000e-06 eta: 0:24:29 time: 0.352640 data_time: 0.032169 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.960780 2023/08/08 21:41:47 - mmengine - INFO - Epoch(train) [203][170/529] lr: 5.000000e-06 eta: 0:24:25 time: 0.351233 data_time: 0.031878 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.928189 2023/08/08 21:41:50 - mmengine - INFO - Epoch(train) [203][180/529] lr: 5.000000e-06 eta: 0:24:21 time: 0.351498 data_time: 0.032239 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.975484 2023/08/08 21:41:54 - mmengine - INFO - Epoch(train) [203][190/529] lr: 5.000000e-06 eta: 0:24:18 time: 0.351167 data_time: 0.032144 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.940473 2023/08/08 21:41:57 - mmengine - INFO - Epoch(train) [203][200/529] lr: 5.000000e-06 eta: 0:24:14 time: 0.350904 data_time: 0.032228 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.921528 2023/08/08 21:42:01 - mmengine - INFO - Epoch(train) [203][210/529] lr: 5.000000e-06 eta: 0:24:11 time: 0.349049 data_time: 0.031989 memory: 4565 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.951018 2023/08/08 21:42:05 - mmengine - INFO - Epoch(train) [203][220/529] lr: 5.000000e-06 eta: 0:24:07 time: 0.353853 data_time: 0.032314 memory: 4565 loss: 0.000494 loss_kpt: 0.000494 acc_pose: 0.940121 2023/08/08 21:42:09 - mmengine - INFO - Epoch(train) [203][230/529] lr: 5.000000e-06 eta: 0:24:03 time: 0.362165 data_time: 0.032152 memory: 4565 loss: 0.000502 loss_kpt: 0.000502 acc_pose: 0.955942 2023/08/08 21:42:13 - mmengine - INFO - Epoch(train) [203][240/529] lr: 5.000000e-06 eta: 0:24:00 time: 0.371775 data_time: 0.032776 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.932587 2023/08/08 21:42:16 - mmengine - INFO - Epoch(train) [203][250/529] lr: 5.000000e-06 eta: 0:23:56 time: 0.380887 data_time: 0.033249 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.948685 2023/08/08 21:42:20 - mmengine - INFO - Epoch(train) [203][260/529] lr: 5.000000e-06 eta: 0:23:53 time: 0.387441 data_time: 0.033291 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.889318 2023/08/08 21:42:24 - mmengine - INFO - Epoch(train) [203][270/529] lr: 5.000000e-06 eta: 0:23:49 time: 0.382026 data_time: 0.033039 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.943370 2023/08/08 21:42:27 - mmengine - INFO - Epoch(train) [203][280/529] lr: 5.000000e-06 eta: 0:23:45 time: 0.372150 data_time: 0.032611 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.929944 2023/08/08 21:42:31 - mmengine - INFO - Epoch(train) [203][290/529] lr: 5.000000e-06 eta: 0:23:42 time: 0.373279 data_time: 0.032777 memory: 4565 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.973262 2023/08/08 21:42:35 - mmengine - INFO - Epoch(train) [203][300/529] lr: 5.000000e-06 eta: 0:23:38 time: 0.374610 data_time: 0.032567 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.926860 2023/08/08 21:42:39 - mmengine - INFO - Epoch(train) [203][310/529] lr: 5.000000e-06 eta: 0:23:35 time: 0.369519 data_time: 0.032820 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.934544 2023/08/08 21:42:42 - mmengine - INFO - Epoch(train) [203][320/529] lr: 5.000000e-06 eta: 0:23:31 time: 0.370537 data_time: 0.033224 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.938265 2023/08/08 21:42:46 - mmengine - INFO - Epoch(train) [203][330/529] lr: 5.000000e-06 eta: 0:23:27 time: 0.370467 data_time: 0.033599 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.936062 2023/08/08 21:42:49 - mmengine - INFO - Epoch(train) [203][340/529] lr: 5.000000e-06 eta: 0:23:24 time: 0.360531 data_time: 0.032940 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.949438 2023/08/08 21:42:53 - mmengine - INFO - Epoch(train) [203][350/529] lr: 5.000000e-06 eta: 0:23:20 time: 0.352018 data_time: 0.032850 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.952879 2023/08/08 21:42:56 - mmengine - INFO - Epoch(train) [203][360/529] lr: 5.000000e-06 eta: 0:23:16 time: 0.351781 data_time: 0.032826 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.947813 2023/08/08 21:43:00 - mmengine - INFO - Epoch(train) [203][370/529] lr: 5.000000e-06 eta: 0:23:13 time: 0.353172 data_time: 0.032580 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.955322 2023/08/08 21:43:03 - mmengine - INFO - Epoch(train) [203][380/529] lr: 5.000000e-06 eta: 0:23:09 time: 0.353110 data_time: 0.032271 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.921056 2023/08/08 21:43:07 - mmengine - INFO - Epoch(train) [203][390/529] lr: 5.000000e-06 eta: 0:23:06 time: 0.352387 data_time: 0.032257 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.926439 2023/08/08 21:43:10 - mmengine - INFO - Epoch(train) [203][400/529] lr: 5.000000e-06 eta: 0:23:02 time: 0.350419 data_time: 0.032069 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.949522 2023/08/08 21:43:14 - mmengine - INFO - Epoch(train) [203][410/529] lr: 5.000000e-06 eta: 0:22:58 time: 0.350651 data_time: 0.032096 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.905210 2023/08/08 21:43:17 - mmengine - INFO - Epoch(train) [203][420/529] lr: 5.000000e-06 eta: 0:22:55 time: 0.350179 data_time: 0.032117 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.959409 2023/08/08 21:43:21 - mmengine - INFO - Epoch(train) [203][430/529] lr: 5.000000e-06 eta: 0:22:51 time: 0.357081 data_time: 0.032380 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.948393 2023/08/08 21:43:25 - mmengine - INFO - Epoch(train) [203][440/529] lr: 5.000000e-06 eta: 0:22:48 time: 0.357411 data_time: 0.032478 memory: 4565 loss: 0.000497 loss_kpt: 0.000497 acc_pose: 0.954063 2023/08/08 21:43:28 - mmengine - INFO - Epoch(train) [203][450/529] lr: 5.000000e-06 eta: 0:22:44 time: 0.357545 data_time: 0.032377 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.913296 2023/08/08 21:43:32 - mmengine - INFO - Epoch(train) [203][460/529] lr: 5.000000e-06 eta: 0:22:40 time: 0.356024 data_time: 0.031985 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.964329 2023/08/08 21:43:35 - mmengine - INFO - Epoch(train) [203][470/529] lr: 5.000000e-06 eta: 0:22:37 time: 0.355217 data_time: 0.032043 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.955075 2023/08/08 21:43:39 - mmengine - INFO - Epoch(train) [203][480/529] lr: 5.000000e-06 eta: 0:22:33 time: 0.349760 data_time: 0.032419 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.923607 2023/08/08 21:43:42 - mmengine - INFO - Epoch(train) [203][490/529] lr: 5.000000e-06 eta: 0:22:30 time: 0.350134 data_time: 0.032081 memory: 4565 loss: 0.000497 loss_kpt: 0.000497 acc_pose: 0.954426 2023/08/08 21:43:46 - mmengine - INFO - Epoch(train) [203][500/529] lr: 5.000000e-06 eta: 0:22:26 time: 0.352268 data_time: 0.032343 memory: 4565 loss: 0.000495 loss_kpt: 0.000495 acc_pose: 0.912156 2023/08/08 21:43:49 - mmengine - INFO - Epoch(train) [203][510/529] lr: 5.000000e-06 eta: 0:22:22 time: 0.352851 data_time: 0.032425 memory: 4565 loss: 0.000500 loss_kpt: 0.000500 acc_pose: 0.915345 2023/08/08 21:43:53 - mmengine - INFO - Epoch(train) [203][520/529] lr: 5.000000e-06 eta: 0:22:19 time: 0.355729 data_time: 0.036108 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.961262 2023/08/08 21:43:56 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:44:00 - mmengine - INFO - Epoch(train) [204][ 10/529] lr: 5.000000e-06 eta: 0:22:12 time: 0.359036 data_time: 0.039760 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.957841 2023/08/08 21:44:04 - mmengine - INFO - Epoch(train) [204][ 20/529] lr: 5.000000e-06 eta: 0:22:08 time: 0.358858 data_time: 0.039528 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.947539 2023/08/08 21:44:07 - mmengine - INFO - Epoch(train) [204][ 30/529] lr: 5.000000e-06 eta: 0:22:05 time: 0.362548 data_time: 0.039906 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.953331 2023/08/08 21:44:11 - mmengine - INFO - Epoch(train) [204][ 40/529] lr: 5.000000e-06 eta: 0:22:01 time: 0.360638 data_time: 0.035903 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.967160 2023/08/08 21:44:14 - mmengine - INFO - Epoch(train) [204][ 50/529] lr: 5.000000e-06 eta: 0:21:57 time: 0.363744 data_time: 0.036164 memory: 4565 loss: 0.000500 loss_kpt: 0.000500 acc_pose: 0.943984 2023/08/08 21:44:18 - mmengine - INFO - Epoch(train) [204][ 60/529] lr: 5.000000e-06 eta: 0:21:54 time: 0.359037 data_time: 0.031931 memory: 4565 loss: 0.000496 loss_kpt: 0.000496 acc_pose: 0.891562 2023/08/08 21:44:21 - mmengine - INFO - Epoch(train) [204][ 70/529] lr: 5.000000e-06 eta: 0:21:50 time: 0.359294 data_time: 0.032030 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.949920 2023/08/08 21:44:25 - mmengine - INFO - Epoch(train) [204][ 80/529] lr: 5.000000e-06 eta: 0:21:47 time: 0.358648 data_time: 0.031677 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.943338 2023/08/08 21:44:29 - mmengine - INFO - Epoch(train) [204][ 90/529] lr: 5.000000e-06 eta: 0:21:43 time: 0.359341 data_time: 0.031877 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.916734 2023/08/08 21:44:32 - mmengine - INFO - Epoch(train) [204][100/529] lr: 5.000000e-06 eta: 0:21:39 time: 0.359878 data_time: 0.031701 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.918596 2023/08/08 21:44:36 - mmengine - INFO - Epoch(train) [204][110/529] lr: 5.000000e-06 eta: 0:21:36 time: 0.359434 data_time: 0.031712 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.938906 2023/08/08 21:44:40 - mmengine - INFO - Epoch(train) [204][120/529] lr: 5.000000e-06 eta: 0:21:32 time: 0.362436 data_time: 0.031572 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.944463 2023/08/08 21:44:43 - mmengine - INFO - Epoch(train) [204][130/529] lr: 5.000000e-06 eta: 0:21:29 time: 0.360918 data_time: 0.031778 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.947240 2023/08/08 21:44:47 - mmengine - INFO - Epoch(train) [204][140/529] lr: 5.000000e-06 eta: 0:21:25 time: 0.361528 data_time: 0.031843 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.957915 2023/08/08 21:44:50 - mmengine - INFO - Epoch(train) [204][150/529] lr: 5.000000e-06 eta: 0:21:21 time: 0.360926 data_time: 0.031907 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.941012 2023/08/08 21:44:54 - mmengine - INFO - Epoch(train) [204][160/529] lr: 5.000000e-06 eta: 0:21:18 time: 0.362072 data_time: 0.032175 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.937958 2023/08/08 21:44:58 - mmengine - INFO - Epoch(train) [204][170/529] lr: 5.000000e-06 eta: 0:21:14 time: 0.363214 data_time: 0.036637 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.912948 2023/08/08 21:45:01 - mmengine - INFO - Epoch(train) [204][180/529] lr: 5.000000e-06 eta: 0:21:11 time: 0.362696 data_time: 0.036241 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.854247 2023/08/08 21:45:05 - mmengine - INFO - Epoch(train) [204][190/529] lr: 5.000000e-06 eta: 0:21:07 time: 0.360401 data_time: 0.035945 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.929781 2023/08/08 21:45:08 - mmengine - INFO - Epoch(train) [204][200/529] lr: 5.000000e-06 eta: 0:21:03 time: 0.361033 data_time: 0.035748 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.958317 2023/08/08 21:45:12 - mmengine - INFO - Epoch(train) [204][210/529] lr: 5.000000e-06 eta: 0:21:00 time: 0.360721 data_time: 0.035635 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.894719 2023/08/08 21:45:16 - mmengine - INFO - Epoch(train) [204][220/529] lr: 5.000000e-06 eta: 0:20:56 time: 0.358120 data_time: 0.031502 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.926790 2023/08/08 21:45:19 - mmengine - INFO - Epoch(train) [204][230/529] lr: 5.000000e-06 eta: 0:20:52 time: 0.359678 data_time: 0.032263 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.950482 2023/08/08 21:45:23 - mmengine - INFO - Epoch(train) [204][240/529] lr: 5.000000e-06 eta: 0:20:49 time: 0.360372 data_time: 0.032301 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.945935 2023/08/08 21:45:27 - mmengine - INFO - Epoch(train) [204][250/529] lr: 5.000000e-06 eta: 0:20:45 time: 0.360645 data_time: 0.032727 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.942446 2023/08/08 21:45:30 - mmengine - INFO - Epoch(train) [204][260/529] lr: 5.000000e-06 eta: 0:20:42 time: 0.360507 data_time: 0.032666 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.955332 2023/08/08 21:45:34 - mmengine - INFO - Epoch(train) [204][270/529] lr: 5.000000e-06 eta: 0:20:38 time: 0.359606 data_time: 0.033100 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.961343 2023/08/08 21:45:37 - mmengine - INFO - Epoch(train) [204][280/529] lr: 5.000000e-06 eta: 0:20:34 time: 0.359321 data_time: 0.032464 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.908292 2023/08/08 21:45:41 - mmengine - INFO - Epoch(train) [204][290/529] lr: 5.000000e-06 eta: 0:20:31 time: 0.366282 data_time: 0.036148 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.895880 2023/08/08 21:45:45 - mmengine - INFO - Epoch(train) [204][300/529] lr: 5.000000e-06 eta: 0:20:27 time: 0.364803 data_time: 0.035710 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.942952 2023/08/08 21:45:49 - mmengine - INFO - Epoch(train) [204][310/529] lr: 5.000000e-06 eta: 0:20:24 time: 0.367132 data_time: 0.035897 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.898040 2023/08/08 21:45:52 - mmengine - INFO - Epoch(train) [204][320/529] lr: 5.000000e-06 eta: 0:20:20 time: 0.372454 data_time: 0.035416 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.940913 2023/08/08 21:45:56 - mmengine - INFO - Epoch(train) [204][330/529] lr: 5.000000e-06 eta: 0:20:16 time: 0.373372 data_time: 0.035630 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.950892 2023/08/08 21:46:00 - mmengine - INFO - Epoch(train) [204][340/529] lr: 5.000000e-06 eta: 0:20:13 time: 0.370360 data_time: 0.035527 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.893229 2023/08/08 21:46:03 - mmengine - INFO - Epoch(train) [204][350/529] lr: 5.000000e-06 eta: 0:20:09 time: 0.372476 data_time: 0.036416 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.918594 2023/08/08 21:46:07 - mmengine - INFO - Epoch(train) [204][360/529] lr: 5.000000e-06 eta: 0:20:06 time: 0.369486 data_time: 0.036359 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.917336 2023/08/08 21:46:11 - mmengine - INFO - Epoch(train) [204][370/529] lr: 5.000000e-06 eta: 0:20:02 time: 0.363098 data_time: 0.036413 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.934266 2023/08/08 21:46:14 - mmengine - INFO - Epoch(train) [204][380/529] lr: 5.000000e-06 eta: 0:19:58 time: 0.361822 data_time: 0.036369 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.964616 2023/08/08 21:46:18 - mmengine - INFO - Epoch(train) [204][390/529] lr: 5.000000e-06 eta: 0:19:55 time: 0.359814 data_time: 0.033138 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.974513 2023/08/08 21:46:21 - mmengine - INFO - Epoch(train) [204][400/529] lr: 5.000000e-06 eta: 0:19:51 time: 0.358579 data_time: 0.032390 memory: 4565 loss: 0.000502 loss_kpt: 0.000502 acc_pose: 0.948693 2023/08/08 21:46:25 - mmengine - INFO - Epoch(train) [204][410/529] lr: 5.000000e-06 eta: 0:19:48 time: 0.363851 data_time: 0.032840 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.872680 2023/08/08 21:46:29 - mmengine - INFO - Epoch(train) [204][420/529] lr: 5.000000e-06 eta: 0:19:44 time: 0.371842 data_time: 0.033217 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.928281 2023/08/08 21:46:33 - mmengine - INFO - Epoch(train) [204][430/529] lr: 5.000000e-06 eta: 0:19:40 time: 0.377383 data_time: 0.033535 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.944654 2023/08/08 21:46:37 - mmengine - INFO - Epoch(train) [204][440/529] lr: 5.000000e-06 eta: 0:19:37 time: 0.374896 data_time: 0.033130 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.922244 2023/08/08 21:46:40 - mmengine - INFO - Epoch(train) [204][450/529] lr: 5.000000e-06 eta: 0:19:33 time: 0.375796 data_time: 0.033181 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.955502 2023/08/08 21:46:44 - mmengine - INFO - Epoch(train) [204][460/529] lr: 5.000000e-06 eta: 0:19:30 time: 0.371208 data_time: 0.032668 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.886423 2023/08/08 21:46:48 - mmengine - INFO - Epoch(train) [204][470/529] lr: 5.000000e-06 eta: 0:19:26 time: 0.369802 data_time: 0.033096 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.937909 2023/08/08 21:46:51 - mmengine - INFO - Epoch(train) [204][480/529] lr: 5.000000e-06 eta: 0:19:22 time: 0.363278 data_time: 0.032611 memory: 4565 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.944611 2023/08/08 21:46:55 - mmengine - INFO - Epoch(train) [204][490/529] lr: 5.000000e-06 eta: 0:19:19 time: 0.362552 data_time: 0.032961 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.946163 2023/08/08 21:46:58 - mmengine - INFO - Epoch(train) [204][500/529] lr: 5.000000e-06 eta: 0:19:15 time: 0.359071 data_time: 0.032878 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.945287 2023/08/08 21:47:02 - mmengine - INFO - Epoch(train) [204][510/529] lr: 5.000000e-06 eta: 0:19:11 time: 0.357098 data_time: 0.032813 memory: 4565 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.950319 2023/08/08 21:47:05 - mmengine - INFO - Epoch(train) [204][520/529] lr: 5.000000e-06 eta: 0:19:08 time: 0.354002 data_time: 0.032118 memory: 4565 loss: 0.000494 loss_kpt: 0.000494 acc_pose: 0.971468 2023/08/08 21:47:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:47:12 - mmengine - INFO - Epoch(train) [205][ 10/529] lr: 5.000000e-06 eta: 0:19:01 time: 0.360226 data_time: 0.036137 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.951804 2023/08/08 21:47:16 - mmengine - INFO - Epoch(train) [205][ 20/529] lr: 5.000000e-06 eta: 0:18:57 time: 0.361935 data_time: 0.035955 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.963984 2023/08/08 21:47:20 - mmengine - INFO - Epoch(train) [205][ 30/529] lr: 5.000000e-06 eta: 0:18:54 time: 0.363841 data_time: 0.035840 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.954971 2023/08/08 21:47:23 - mmengine - INFO - Epoch(train) [205][ 40/529] lr: 5.000000e-06 eta: 0:18:50 time: 0.361498 data_time: 0.035511 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.950415 2023/08/08 21:47:27 - mmengine - INFO - Epoch(train) [205][ 50/529] lr: 5.000000e-06 eta: 0:18:47 time: 0.363646 data_time: 0.035996 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.914453 2023/08/08 21:47:30 - mmengine - INFO - Epoch(train) [205][ 60/529] lr: 5.000000e-06 eta: 0:18:43 time: 0.360156 data_time: 0.031810 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.934495 2023/08/08 21:47:34 - mmengine - INFO - Epoch(train) [205][ 70/529] lr: 5.000000e-06 eta: 0:18:39 time: 0.362628 data_time: 0.032304 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.911638 2023/08/08 21:47:38 - mmengine - INFO - Epoch(train) [205][ 80/529] lr: 5.000000e-06 eta: 0:18:36 time: 0.363320 data_time: 0.032586 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.943428 2023/08/08 21:47:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:47:41 - mmengine - INFO - Epoch(train) [205][ 90/529] lr: 5.000000e-06 eta: 0:18:32 time: 0.362961 data_time: 0.032777 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.979189 2023/08/08 21:47:45 - mmengine - INFO - Epoch(train) [205][100/529] lr: 5.000000e-06 eta: 0:18:29 time: 0.362881 data_time: 0.032303 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.945065 2023/08/08 21:47:49 - mmengine - INFO - Epoch(train) [205][110/529] lr: 5.000000e-06 eta: 0:18:25 time: 0.363866 data_time: 0.032441 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.932779 2023/08/08 21:47:52 - mmengine - INFO - Epoch(train) [205][120/529] lr: 5.000000e-06 eta: 0:18:21 time: 0.362232 data_time: 0.032019 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.930848 2023/08/08 21:47:56 - mmengine - INFO - Epoch(train) [205][130/529] lr: 5.000000e-06 eta: 0:18:18 time: 0.365025 data_time: 0.032109 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.945618 2023/08/08 21:48:00 - mmengine - INFO - Epoch(train) [205][140/529] lr: 5.000000e-06 eta: 0:18:14 time: 0.368177 data_time: 0.031856 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.935619 2023/08/08 21:48:03 - mmengine - INFO - Epoch(train) [205][150/529] lr: 5.000000e-06 eta: 0:18:11 time: 0.367859 data_time: 0.031970 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.920964 2023/08/08 21:48:07 - mmengine - INFO - Epoch(train) [205][160/529] lr: 5.000000e-06 eta: 0:18:07 time: 0.365051 data_time: 0.031757 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.935505 2023/08/08 21:48:11 - mmengine - INFO - Epoch(train) [205][170/529] lr: 5.000000e-06 eta: 0:18:03 time: 0.368276 data_time: 0.035383 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.907142 2023/08/08 21:48:14 - mmengine - INFO - Epoch(train) [205][180/529] lr: 5.000000e-06 eta: 0:18:00 time: 0.365756 data_time: 0.035037 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.941460 2023/08/08 21:48:18 - mmengine - INFO - Epoch(train) [205][190/529] lr: 5.000000e-06 eta: 0:17:56 time: 0.364173 data_time: 0.035424 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.953642 2023/08/08 21:48:22 - mmengine - INFO - Epoch(train) [205][200/529] lr: 5.000000e-06 eta: 0:17:52 time: 0.364942 data_time: 0.035347 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.934837 2023/08/08 21:48:25 - mmengine - INFO - Epoch(train) [205][210/529] lr: 5.000000e-06 eta: 0:17:49 time: 0.364141 data_time: 0.035380 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.966090 2023/08/08 21:48:29 - mmengine - INFO - Epoch(train) [205][220/529] lr: 5.000000e-06 eta: 0:17:45 time: 0.360134 data_time: 0.031822 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.937073 2023/08/08 21:48:32 - mmengine - INFO - Epoch(train) [205][230/529] lr: 5.000000e-06 eta: 0:17:42 time: 0.360277 data_time: 0.032714 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.934083 2023/08/08 21:48:36 - mmengine - INFO - Epoch(train) [205][240/529] lr: 5.000000e-06 eta: 0:17:38 time: 0.361943 data_time: 0.033169 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.925323 2023/08/08 21:48:40 - mmengine - INFO - Epoch(train) [205][250/529] lr: 5.000000e-06 eta: 0:17:34 time: 0.361693 data_time: 0.033599 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.920996 2023/08/08 21:48:43 - mmengine - INFO - Epoch(train) [205][260/529] lr: 5.000000e-06 eta: 0:17:31 time: 0.364306 data_time: 0.034040 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.948177 2023/08/08 21:48:47 - mmengine - INFO - Epoch(train) [205][270/529] lr: 5.000000e-06 eta: 0:17:27 time: 0.364783 data_time: 0.034316 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.919704 2023/08/08 21:48:51 - mmengine - INFO - Epoch(train) [205][280/529] lr: 5.000000e-06 eta: 0:17:24 time: 0.363491 data_time: 0.033258 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.959044 2023/08/08 21:48:54 - mmengine - INFO - Epoch(train) [205][290/529] lr: 5.000000e-06 eta: 0:17:20 time: 0.359720 data_time: 0.032605 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.957953 2023/08/08 21:48:58 - mmengine - INFO - Epoch(train) [205][300/529] lr: 5.000000e-06 eta: 0:17:16 time: 0.359527 data_time: 0.032467 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.922604 2023/08/08 21:49:01 - mmengine - INFO - Epoch(train) [205][310/529] lr: 5.000000e-06 eta: 0:17:13 time: 0.358140 data_time: 0.032125 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.937773 2023/08/08 21:49:05 - mmengine - INFO - Epoch(train) [205][320/529] lr: 5.000000e-06 eta: 0:17:09 time: 0.360587 data_time: 0.032160 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.946443 2023/08/08 21:49:09 - mmengine - INFO - Epoch(train) [205][330/529] lr: 5.000000e-06 eta: 0:17:06 time: 0.366239 data_time: 0.033045 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.911588 2023/08/08 21:49:13 - mmengine - INFO - Epoch(train) [205][340/529] lr: 5.000000e-06 eta: 0:17:02 time: 0.378157 data_time: 0.036686 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.938846 2023/08/08 21:49:17 - mmengine - INFO - Epoch(train) [205][350/529] lr: 5.000000e-06 eta: 0:16:58 time: 0.380343 data_time: 0.036643 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.932967 2023/08/08 21:49:21 - mmengine - INFO - Epoch(train) [205][360/529] lr: 5.000000e-06 eta: 0:16:55 time: 0.387212 data_time: 0.037156 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.932571 2023/08/08 21:49:24 - mmengine - INFO - Epoch(train) [205][370/529] lr: 5.000000e-06 eta: 0:16:51 time: 0.387935 data_time: 0.037009 memory: 4565 loss: 0.000494 loss_kpt: 0.000494 acc_pose: 0.933517 2023/08/08 21:49:28 - mmengine - INFO - Epoch(train) [205][380/529] lr: 5.000000e-06 eta: 0:16:48 time: 0.384649 data_time: 0.036439 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.948770 2023/08/08 21:49:32 - mmengine - INFO - Epoch(train) [205][390/529] lr: 5.000000e-06 eta: 0:16:44 time: 0.373428 data_time: 0.033143 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.923577 2023/08/08 21:49:35 - mmengine - INFO - Epoch(train) [205][400/529] lr: 5.000000e-06 eta: 0:16:40 time: 0.370282 data_time: 0.033122 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.921471 2023/08/08 21:49:39 - mmengine - INFO - Epoch(train) [205][410/529] lr: 5.000000e-06 eta: 0:16:37 time: 0.362806 data_time: 0.032761 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.954301 2023/08/08 21:49:42 - mmengine - INFO - Epoch(train) [205][420/529] lr: 5.000000e-06 eta: 0:16:33 time: 0.359965 data_time: 0.032572 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.926663 2023/08/08 21:49:46 - mmengine - INFO - Epoch(train) [205][430/529] lr: 5.000000e-06 eta: 0:16:30 time: 0.360480 data_time: 0.032600 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.923571 2023/08/08 21:49:50 - mmengine - INFO - Epoch(train) [205][440/529] lr: 5.000000e-06 eta: 0:16:26 time: 0.361711 data_time: 0.032349 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.952106 2023/08/08 21:49:53 - mmengine - INFO - Epoch(train) [205][450/529] lr: 5.000000e-06 eta: 0:16:22 time: 0.361513 data_time: 0.032094 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.926290 2023/08/08 21:49:57 - mmengine - INFO - Epoch(train) [205][460/529] lr: 5.000000e-06 eta: 0:16:19 time: 0.361272 data_time: 0.031738 memory: 4565 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.929098 2023/08/08 21:50:01 - mmengine - INFO - Epoch(train) [205][470/529] lr: 5.000000e-06 eta: 0:16:15 time: 0.361446 data_time: 0.032099 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.960856 2023/08/08 21:50:04 - mmengine - INFO - Epoch(train) [205][480/529] lr: 5.000000e-06 eta: 0:16:12 time: 0.359098 data_time: 0.032003 memory: 4565 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.925325 2023/08/08 21:50:08 - mmengine - INFO - Epoch(train) [205][490/529] lr: 5.000000e-06 eta: 0:16:08 time: 0.358965 data_time: 0.032149 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.878547 2023/08/08 21:50:11 - mmengine - INFO - Epoch(train) [205][500/529] lr: 5.000000e-06 eta: 0:16:04 time: 0.359933 data_time: 0.031949 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.940531 2023/08/08 21:50:15 - mmengine - INFO - Epoch(train) [205][510/529] lr: 5.000000e-06 eta: 0:16:01 time: 0.362185 data_time: 0.032177 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.950081 2023/08/08 21:50:19 - mmengine - INFO - Epoch(train) [205][520/529] lr: 5.000000e-06 eta: 0:15:57 time: 0.364229 data_time: 0.031629 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.941001 2023/08/08 21:50:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:50:26 - mmengine - INFO - Epoch(train) [206][ 10/529] lr: 5.000000e-06 eta: 0:15:50 time: 0.363820 data_time: 0.035082 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.938254 2023/08/08 21:50:29 - mmengine - INFO - Epoch(train) [206][ 20/529] lr: 5.000000e-06 eta: 0:15:47 time: 0.361851 data_time: 0.035648 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.941433 2023/08/08 21:50:33 - mmengine - INFO - Epoch(train) [206][ 30/529] lr: 5.000000e-06 eta: 0:15:43 time: 0.358110 data_time: 0.035598 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.900744 2023/08/08 21:50:36 - mmengine - INFO - Epoch(train) [206][ 40/529] lr: 5.000000e-06 eta: 0:15:39 time: 0.360671 data_time: 0.036464 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.973409 2023/08/08 21:50:40 - mmengine - INFO - Epoch(train) [206][ 50/529] lr: 5.000000e-06 eta: 0:15:36 time: 0.360846 data_time: 0.037300 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.930389 2023/08/08 21:50:43 - mmengine - INFO - Epoch(train) [206][ 60/529] lr: 5.000000e-06 eta: 0:15:32 time: 0.355545 data_time: 0.032757 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.894271 2023/08/08 21:50:47 - mmengine - INFO - Epoch(train) [206][ 70/529] lr: 5.000000e-06 eta: 0:15:29 time: 0.354566 data_time: 0.032575 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.906017 2023/08/08 21:50:50 - mmengine - INFO - Epoch(train) [206][ 80/529] lr: 5.000000e-06 eta: 0:15:25 time: 0.355705 data_time: 0.032785 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.928135 2023/08/08 21:50:54 - mmengine - INFO - Epoch(train) [206][ 90/529] lr: 5.000000e-06 eta: 0:15:21 time: 0.354350 data_time: 0.033069 memory: 4565 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.914172 2023/08/08 21:50:58 - mmengine - INFO - Epoch(train) [206][100/529] lr: 5.000000e-06 eta: 0:15:18 time: 0.355248 data_time: 0.033910 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.938458 2023/08/08 21:51:01 - mmengine - INFO - Epoch(train) [206][110/529] lr: 5.000000e-06 eta: 0:15:14 time: 0.357174 data_time: 0.034472 memory: 4565 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.939268 2023/08/08 21:51:05 - mmengine - INFO - Epoch(train) [206][120/529] lr: 5.000000e-06 eta: 0:15:11 time: 0.357210 data_time: 0.034353 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.918886 2023/08/08 21:51:08 - mmengine - INFO - Epoch(train) [206][130/529] lr: 5.000000e-06 eta: 0:15:07 time: 0.356822 data_time: 0.034330 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.957482 2023/08/08 21:51:12 - mmengine - INFO - Epoch(train) [206][140/529] lr: 5.000000e-06 eta: 0:15:03 time: 0.358270 data_time: 0.033609 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.948233 2023/08/08 21:51:16 - mmengine - INFO - Epoch(train) [206][150/529] lr: 5.000000e-06 eta: 0:15:00 time: 0.362360 data_time: 0.033197 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.987165 2023/08/08 21:51:19 - mmengine - INFO - Epoch(train) [206][160/529] lr: 5.000000e-06 eta: 0:14:56 time: 0.361918 data_time: 0.033022 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.909675 2023/08/08 21:51:23 - mmengine - INFO - Epoch(train) [206][170/529] lr: 5.000000e-06 eta: 0:14:52 time: 0.363897 data_time: 0.033692 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.923606 2023/08/08 21:51:27 - mmengine - INFO - Epoch(train) [206][180/529] lr: 5.000000e-06 eta: 0:14:49 time: 0.363787 data_time: 0.034472 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.957899 2023/08/08 21:51:30 - mmengine - INFO - Epoch(train) [206][190/529] lr: 5.000000e-06 eta: 0:14:45 time: 0.357426 data_time: 0.035106 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.943340 2023/08/08 21:51:34 - mmengine - INFO - Epoch(train) [206][200/529] lr: 5.000000e-06 eta: 0:14:42 time: 0.355851 data_time: 0.038361 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.964920 2023/08/08 21:51:37 - mmengine - INFO - Epoch(train) [206][210/529] lr: 5.000000e-06 eta: 0:14:38 time: 0.355950 data_time: 0.038621 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.979948 2023/08/08 21:51:41 - mmengine - INFO - Epoch(train) [206][220/529] lr: 5.000000e-06 eta: 0:14:34 time: 0.354136 data_time: 0.038245 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.949310 2023/08/08 21:51:44 - mmengine - INFO - Epoch(train) [206][230/529] lr: 5.000000e-06 eta: 0:14:31 time: 0.355015 data_time: 0.037625 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.942536 2023/08/08 21:51:48 - mmengine - INFO - Epoch(train) [206][240/529] lr: 5.000000e-06 eta: 0:14:27 time: 0.355074 data_time: 0.036909 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.943976 2023/08/08 21:51:51 - mmengine - INFO - Epoch(train) [206][250/529] lr: 5.000000e-06 eta: 0:14:24 time: 0.351193 data_time: 0.033243 memory: 4565 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.950506 2023/08/08 21:51:55 - mmengine - INFO - Epoch(train) [206][260/529] lr: 5.000000e-06 eta: 0:14:20 time: 0.354453 data_time: 0.033106 memory: 4565 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.959644 2023/08/08 21:51:58 - mmengine - INFO - Epoch(train) [206][270/529] lr: 5.000000e-06 eta: 0:14:16 time: 0.353924 data_time: 0.032903 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.936870 2023/08/08 21:52:02 - mmengine - INFO - Epoch(train) [206][280/529] lr: 5.000000e-06 eta: 0:14:13 time: 0.353531 data_time: 0.032931 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.975502 2023/08/08 21:52:05 - mmengine - INFO - Epoch(train) [206][290/529] lr: 5.000000e-06 eta: 0:14:09 time: 0.353129 data_time: 0.032903 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.940738 2023/08/08 21:52:09 - mmengine - INFO - Epoch(train) [206][300/529] lr: 5.000000e-06 eta: 0:14:06 time: 0.355379 data_time: 0.033468 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.936896 2023/08/08 21:52:13 - mmengine - INFO - Epoch(train) [206][310/529] lr: 5.000000e-06 eta: 0:14:02 time: 0.355930 data_time: 0.033053 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.958790 2023/08/08 21:52:17 - mmengine - INFO - Epoch(train) [206][320/529] lr: 5.000000e-06 eta: 0:13:58 time: 0.365149 data_time: 0.033178 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.927529 2023/08/08 21:52:20 - mmengine - INFO - Epoch(train) [206][330/529] lr: 5.000000e-06 eta: 0:13:55 time: 0.364234 data_time: 0.032789 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.954750 2023/08/08 21:52:24 - mmengine - INFO - Epoch(train) [206][340/529] lr: 5.000000e-06 eta: 0:13:51 time: 0.364991 data_time: 0.033129 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.911896 2023/08/08 21:52:27 - mmengine - INFO - Epoch(train) [206][350/529] lr: 5.000000e-06 eta: 0:13:48 time: 0.363393 data_time: 0.033006 memory: 4565 loss: 0.000496 loss_kpt: 0.000496 acc_pose: 0.971479 2023/08/08 21:52:31 - mmengine - INFO - Epoch(train) [206][360/529] lr: 5.000000e-06 eta: 0:13:44 time: 0.360399 data_time: 0.033504 memory: 4565 loss: 0.000491 loss_kpt: 0.000491 acc_pose: 0.898344 2023/08/08 21:52:34 - mmengine - INFO - Epoch(train) [206][370/529] lr: 5.000000e-06 eta: 0:13:40 time: 0.350857 data_time: 0.033682 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.940941 2023/08/08 21:52:38 - mmengine - INFO - Epoch(train) [206][380/529] lr: 5.000000e-06 eta: 0:13:37 time: 0.350448 data_time: 0.033790 memory: 4565 loss: 0.000485 loss_kpt: 0.000485 acc_pose: 0.949424 2023/08/08 21:52:41 - mmengine - INFO - Epoch(train) [206][390/529] lr: 5.000000e-06 eta: 0:13:33 time: 0.349555 data_time: 0.033545 memory: 4565 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.926218 2023/08/08 21:52:45 - mmengine - INFO - Epoch(train) [206][400/529] lr: 5.000000e-06 eta: 0:13:29 time: 0.358841 data_time: 0.033428 memory: 4565 loss: 0.000491 loss_kpt: 0.000491 acc_pose: 0.963389 2023/08/08 21:52:49 - mmengine - INFO - Epoch(train) [206][410/529] lr: 5.000000e-06 eta: 0:13:26 time: 0.372004 data_time: 0.037304 memory: 4565 loss: 0.000502 loss_kpt: 0.000502 acc_pose: 0.949149 2023/08/08 21:52:53 - mmengine - INFO - Epoch(train) [206][420/529] lr: 5.000000e-06 eta: 0:13:22 time: 0.378320 data_time: 0.037144 memory: 4565 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.926744 2023/08/08 21:52:57 - mmengine - INFO - Epoch(train) [206][430/529] lr: 5.000000e-06 eta: 0:13:19 time: 0.382987 data_time: 0.037265 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.920158 2023/08/08 21:53:00 - mmengine - INFO - Epoch(train) [206][440/529] lr: 5.000000e-06 eta: 0:13:15 time: 0.382475 data_time: 0.037175 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.977769 2023/08/08 21:53:04 - mmengine - INFO - Epoch(train) [206][450/529] lr: 5.000000e-06 eta: 0:13:11 time: 0.372947 data_time: 0.036827 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.988155 2023/08/08 21:53:07 - mmengine - INFO - Epoch(train) [206][460/529] lr: 5.000000e-06 eta: 0:13:08 time: 0.358236 data_time: 0.032481 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.927154 2023/08/08 21:53:11 - mmengine - INFO - Epoch(train) [206][470/529] lr: 5.000000e-06 eta: 0:13:04 time: 0.360737 data_time: 0.032599 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.919843 2023/08/08 21:53:15 - mmengine - INFO - Epoch(train) [206][480/529] lr: 5.000000e-06 eta: 0:13:01 time: 0.357975 data_time: 0.033348 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.954113 2023/08/08 21:53:18 - mmengine - INFO - Epoch(train) [206][490/529] lr: 5.000000e-06 eta: 0:12:57 time: 0.359295 data_time: 0.033696 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.934011 2023/08/08 21:53:22 - mmengine - INFO - Epoch(train) [206][500/529] lr: 5.000000e-06 eta: 0:12:53 time: 0.359207 data_time: 0.033672 memory: 4565 loss: 0.000500 loss_kpt: 0.000500 acc_pose: 0.985204 2023/08/08 21:53:25 - mmengine - INFO - Epoch(train) [206][510/529] lr: 5.000000e-06 eta: 0:12:50 time: 0.359207 data_time: 0.033795 memory: 4565 loss: 0.000497 loss_kpt: 0.000497 acc_pose: 0.970000 2023/08/08 21:53:29 - mmengine - INFO - Epoch(train) [206][520/529] lr: 5.000000e-06 eta: 0:12:46 time: 0.350828 data_time: 0.033438 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.896599 2023/08/08 21:53:32 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:53:36 - mmengine - INFO - Epoch(train) [207][ 10/529] lr: 5.000000e-06 eta: 0:12:39 time: 0.354262 data_time: 0.035864 memory: 4565 loss: 0.000495 loss_kpt: 0.000495 acc_pose: 0.926864 2023/08/08 21:53:39 - mmengine - INFO - Epoch(train) [207][ 20/529] lr: 5.000000e-06 eta: 0:12:36 time: 0.357369 data_time: 0.036445 memory: 4565 loss: 0.000491 loss_kpt: 0.000491 acc_pose: 0.936423 2023/08/08 21:53:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:53:43 - mmengine - INFO - Epoch(train) [207][ 30/529] lr: 5.000000e-06 eta: 0:12:32 time: 0.357503 data_time: 0.036919 memory: 4565 loss: 0.000489 loss_kpt: 0.000489 acc_pose: 0.939892 2023/08/08 21:53:46 - mmengine - INFO - Epoch(train) [207][ 40/529] lr: 5.000000e-06 eta: 0:12:29 time: 0.357331 data_time: 0.036932 memory: 4565 loss: 0.000494 loss_kpt: 0.000494 acc_pose: 0.882586 2023/08/08 21:53:50 - mmengine - INFO - Epoch(train) [207][ 50/529] lr: 5.000000e-06 eta: 0:12:25 time: 0.355931 data_time: 0.037002 memory: 4565 loss: 0.000486 loss_kpt: 0.000486 acc_pose: 0.961589 2023/08/08 21:53:53 - mmengine - INFO - Epoch(train) [207][ 60/529] lr: 5.000000e-06 eta: 0:12:21 time: 0.351618 data_time: 0.033146 memory: 4565 loss: 0.000493 loss_kpt: 0.000493 acc_pose: 0.922613 2023/08/08 21:53:57 - mmengine - INFO - Epoch(train) [207][ 70/529] lr: 5.000000e-06 eta: 0:12:18 time: 0.357065 data_time: 0.033111 memory: 4565 loss: 0.000495 loss_kpt: 0.000495 acc_pose: 0.921344 2023/08/08 21:54:01 - mmengine - INFO - Epoch(train) [207][ 80/529] lr: 5.000000e-06 eta: 0:12:14 time: 0.357538 data_time: 0.032533 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.957703 2023/08/08 21:54:04 - mmengine - INFO - Epoch(train) [207][ 90/529] lr: 5.000000e-06 eta: 0:12:10 time: 0.358880 data_time: 0.032617 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.940647 2023/08/08 21:54:08 - mmengine - INFO - Epoch(train) [207][100/529] lr: 5.000000e-06 eta: 0:12:07 time: 0.359204 data_time: 0.032531 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.932914 2023/08/08 21:54:11 - mmengine - INFO - Epoch(train) [207][110/529] lr: 5.000000e-06 eta: 0:12:03 time: 0.358162 data_time: 0.032381 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.957273 2023/08/08 21:54:15 - mmengine - INFO - Epoch(train) [207][120/529] lr: 5.000000e-06 eta: 0:12:00 time: 0.349337 data_time: 0.031808 memory: 4565 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.938467 2023/08/08 21:54:18 - mmengine - INFO - Epoch(train) [207][130/529] lr: 5.000000e-06 eta: 0:11:56 time: 0.349788 data_time: 0.031611 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.929852 2023/08/08 21:54:22 - mmengine - INFO - Epoch(train) [207][140/529] lr: 5.000000e-06 eta: 0:11:52 time: 0.348711 data_time: 0.031494 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.911086 2023/08/08 21:54:25 - mmengine - INFO - Epoch(train) [207][150/529] lr: 5.000000e-06 eta: 0:11:49 time: 0.352024 data_time: 0.032224 memory: 4565 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.918569 2023/08/08 21:54:29 - mmengine - INFO - Epoch(train) [207][160/529] lr: 5.000000e-06 eta: 0:11:45 time: 0.351674 data_time: 0.032315 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.949392 2023/08/08 21:54:32 - mmengine - INFO - Epoch(train) [207][170/529] lr: 5.000000e-06 eta: 0:11:42 time: 0.351877 data_time: 0.032937 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.944596 2023/08/08 21:54:36 - mmengine - INFO - Epoch(train) [207][180/529] lr: 5.000000e-06 eta: 0:11:38 time: 0.349644 data_time: 0.032821 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.902599 2023/08/08 21:54:39 - mmengine - INFO - Epoch(train) [207][190/529] lr: 5.000000e-06 eta: 0:11:34 time: 0.349422 data_time: 0.032802 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.949795 2023/08/08 21:54:43 - mmengine - INFO - Epoch(train) [207][200/529] lr: 5.000000e-06 eta: 0:11:31 time: 0.348985 data_time: 0.032324 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.947294 2023/08/08 21:54:47 - mmengine - INFO - Epoch(train) [207][210/529] lr: 5.000000e-06 eta: 0:11:27 time: 0.353796 data_time: 0.032433 memory: 4565 loss: 0.000497 loss_kpt: 0.000497 acc_pose: 0.950365 2023/08/08 21:54:50 - mmengine - INFO - Epoch(train) [207][220/529] lr: 5.000000e-06 eta: 0:11:24 time: 0.355418 data_time: 0.031900 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.960343 2023/08/08 21:54:54 - mmengine - INFO - Epoch(train) [207][230/529] lr: 5.000000e-06 eta: 0:11:20 time: 0.357496 data_time: 0.032120 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.914749 2023/08/08 21:54:57 - mmengine - INFO - Epoch(train) [207][240/529] lr: 5.000000e-06 eta: 0:11:16 time: 0.357965 data_time: 0.031906 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.908406 2023/08/08 21:55:01 - mmengine - INFO - Epoch(train) [207][250/529] lr: 5.000000e-06 eta: 0:11:13 time: 0.358471 data_time: 0.035516 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.941900 2023/08/08 21:55:05 - mmengine - INFO - Epoch(train) [207][260/529] lr: 5.000000e-06 eta: 0:11:09 time: 0.357840 data_time: 0.035881 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.967868 2023/08/08 21:55:08 - mmengine - INFO - Epoch(train) [207][270/529] lr: 5.000000e-06 eta: 0:11:06 time: 0.357412 data_time: 0.035982 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.920044 2023/08/08 21:55:12 - mmengine - INFO - Epoch(train) [207][280/529] lr: 5.000000e-06 eta: 0:11:02 time: 0.357744 data_time: 0.036132 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.928232 2023/08/08 21:55:15 - mmengine - INFO - Epoch(train) [207][290/529] lr: 5.000000e-06 eta: 0:10:58 time: 0.357543 data_time: 0.036200 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.958162 2023/08/08 21:55:19 - mmengine - INFO - Epoch(train) [207][300/529] lr: 5.000000e-06 eta: 0:10:55 time: 0.353768 data_time: 0.032387 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.932220 2023/08/08 21:55:22 - mmengine - INFO - Epoch(train) [207][310/529] lr: 5.000000e-06 eta: 0:10:51 time: 0.349945 data_time: 0.032123 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.976747 2023/08/08 21:55:26 - mmengine - INFO - Epoch(train) [207][320/529] lr: 5.000000e-06 eta: 0:10:47 time: 0.357115 data_time: 0.032437 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.943410 2023/08/08 21:55:29 - mmengine - INFO - Epoch(train) [207][330/529] lr: 5.000000e-06 eta: 0:10:44 time: 0.356465 data_time: 0.032443 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.926158 2023/08/08 21:55:33 - mmengine - INFO - Epoch(train) [207][340/529] lr: 5.000000e-06 eta: 0:10:40 time: 0.358537 data_time: 0.032652 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.957968 2023/08/08 21:55:37 - mmengine - INFO - Epoch(train) [207][350/529] lr: 5.000000e-06 eta: 0:10:37 time: 0.363284 data_time: 0.033101 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.957331 2023/08/08 21:55:40 - mmengine - INFO - Epoch(train) [207][360/529] lr: 5.000000e-06 eta: 0:10:33 time: 0.363828 data_time: 0.033018 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.926343 2023/08/08 21:55:44 - mmengine - INFO - Epoch(train) [207][370/529] lr: 5.000000e-06 eta: 0:10:29 time: 0.356272 data_time: 0.032814 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.936983 2023/08/08 21:55:47 - mmengine - INFO - Epoch(train) [207][380/529] lr: 5.000000e-06 eta: 0:10:26 time: 0.358503 data_time: 0.033464 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.934842 2023/08/08 21:55:51 - mmengine - INFO - Epoch(train) [207][390/529] lr: 5.000000e-06 eta: 0:10:22 time: 0.358557 data_time: 0.033438 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.914863 2023/08/08 21:55:55 - mmengine - INFO - Epoch(train) [207][400/529] lr: 5.000000e-06 eta: 0:10:19 time: 0.355965 data_time: 0.033305 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.941641 2023/08/08 21:55:58 - mmengine - INFO - Epoch(train) [207][410/529] lr: 5.000000e-06 eta: 0:10:15 time: 0.358996 data_time: 0.033318 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.924061 2023/08/08 21:56:02 - mmengine - INFO - Epoch(train) [207][420/529] lr: 5.000000e-06 eta: 0:10:11 time: 0.360219 data_time: 0.032886 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.945611 2023/08/08 21:56:06 - mmengine - INFO - Epoch(train) [207][430/529] lr: 5.000000e-06 eta: 0:10:08 time: 0.362254 data_time: 0.035747 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.952195 2023/08/08 21:56:09 - mmengine - INFO - Epoch(train) [207][440/529] lr: 5.000000e-06 eta: 0:10:04 time: 0.361050 data_time: 0.035537 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.932411 2023/08/08 21:56:13 - mmengine - INFO - Epoch(train) [207][450/529] lr: 5.000000e-06 eta: 0:10:01 time: 0.362135 data_time: 0.035389 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.918944 2023/08/08 21:56:16 - mmengine - INFO - Epoch(train) [207][460/529] lr: 5.000000e-06 eta: 0:09:57 time: 0.362000 data_time: 0.035266 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.967723 2023/08/08 21:56:20 - mmengine - INFO - Epoch(train) [207][470/529] lr: 5.000000e-06 eta: 0:09:53 time: 0.363337 data_time: 0.035709 memory: 4565 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.938811 2023/08/08 21:56:24 - mmengine - INFO - Epoch(train) [207][480/529] lr: 5.000000e-06 eta: 0:09:50 time: 0.361044 data_time: 0.032094 memory: 4565 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.947945 2023/08/08 21:56:27 - mmengine - INFO - Epoch(train) [207][490/529] lr: 5.000000e-06 eta: 0:09:46 time: 0.365146 data_time: 0.032194 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.957488 2023/08/08 21:56:31 - mmengine - INFO - Epoch(train) [207][500/529] lr: 5.000000e-06 eta: 0:09:43 time: 0.364331 data_time: 0.032144 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.949252 2023/08/08 21:56:35 - mmengine - INFO - Epoch(train) [207][510/529] lr: 5.000000e-06 eta: 0:09:39 time: 0.364839 data_time: 0.032189 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.951970 2023/08/08 21:56:38 - mmengine - INFO - Epoch(train) [207][520/529] lr: 5.000000e-06 eta: 0:09:35 time: 0.364849 data_time: 0.032052 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.958270 2023/08/08 21:56:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:56:45 - mmengine - INFO - Epoch(train) [208][ 10/529] lr: 5.000000e-06 eta: 0:09:28 time: 0.367479 data_time: 0.036425 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.937179 2023/08/08 21:56:49 - mmengine - INFO - Epoch(train) [208][ 20/529] lr: 5.000000e-06 eta: 0:09:25 time: 0.367735 data_time: 0.036369 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.937080 2023/08/08 21:56:53 - mmengine - INFO - Epoch(train) [208][ 30/529] lr: 5.000000e-06 eta: 0:09:21 time: 0.367050 data_time: 0.036417 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.896343 2023/08/08 21:56:56 - mmengine - INFO - Epoch(train) [208][ 40/529] lr: 5.000000e-06 eta: 0:09:18 time: 0.366807 data_time: 0.036274 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.980595 2023/08/08 21:57:00 - mmengine - INFO - Epoch(train) [208][ 50/529] lr: 5.000000e-06 eta: 0:09:14 time: 0.367920 data_time: 0.036390 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.929569 2023/08/08 21:57:04 - mmengine - INFO - Epoch(train) [208][ 60/529] lr: 5.000000e-06 eta: 0:09:10 time: 0.364479 data_time: 0.032189 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.922450 2023/08/08 21:57:07 - mmengine - INFO - Epoch(train) [208][ 70/529] lr: 5.000000e-06 eta: 0:09:07 time: 0.365177 data_time: 0.032639 memory: 4565 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.946736 2023/08/08 21:57:11 - mmengine - INFO - Epoch(train) [208][ 80/529] lr: 5.000000e-06 eta: 0:09:03 time: 0.363864 data_time: 0.032301 memory: 4565 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.909638 2023/08/08 21:57:14 - mmengine - INFO - Epoch(train) [208][ 90/529] lr: 5.000000e-06 eta: 0:09:00 time: 0.362890 data_time: 0.032538 memory: 4565 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.940918 2023/08/08 21:57:18 - mmengine - INFO - Epoch(train) [208][100/529] lr: 5.000000e-06 eta: 0:08:56 time: 0.362925 data_time: 0.032365 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.953712 2023/08/08 21:57:22 - mmengine - INFO - Epoch(train) [208][110/529] lr: 5.000000e-06 eta: 0:08:52 time: 0.361515 data_time: 0.032393 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.940396 2023/08/08 21:57:25 - mmengine - INFO - Epoch(train) [208][120/529] lr: 5.000000e-06 eta: 0:08:49 time: 0.361602 data_time: 0.032515 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.931456 2023/08/08 21:57:29 - mmengine - INFO - Epoch(train) [208][130/529] lr: 5.000000e-06 eta: 0:08:45 time: 0.366844 data_time: 0.036746 memory: 4565 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.928479 2023/08/08 21:57:33 - mmengine - INFO - Epoch(train) [208][140/529] lr: 5.000000e-06 eta: 0:08:42 time: 0.366810 data_time: 0.036410 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.916879 2023/08/08 21:57:36 - mmengine - INFO - Epoch(train) [208][150/529] lr: 5.000000e-06 eta: 0:08:38 time: 0.364935 data_time: 0.036449 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.929637 2023/08/08 21:57:40 - mmengine - INFO - Epoch(train) [208][160/529] lr: 5.000000e-06 eta: 0:08:34 time: 0.364872 data_time: 0.036978 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.965901 2023/08/08 21:57:44 - mmengine - INFO - Epoch(train) [208][170/529] lr: 5.000000e-06 eta: 0:08:31 time: 0.364686 data_time: 0.036891 memory: 4565 loss: 0.000502 loss_kpt: 0.000502 acc_pose: 0.952024 2023/08/08 21:57:47 - mmengine - INFO - Epoch(train) [208][180/529] lr: 5.000000e-06 eta: 0:08:27 time: 0.360242 data_time: 0.032902 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.940929 2023/08/08 21:57:51 - mmengine - INFO - Epoch(train) [208][190/529] lr: 5.000000e-06 eta: 0:08:24 time: 0.362566 data_time: 0.033131 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.922627 2023/08/08 21:57:55 - mmengine - INFO - Epoch(train) [208][200/529] lr: 5.000000e-06 eta: 0:08:20 time: 0.363080 data_time: 0.033268 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.946786 2023/08/08 21:57:58 - mmengine - INFO - Epoch(train) [208][210/529] lr: 5.000000e-06 eta: 0:08:16 time: 0.362201 data_time: 0.032551 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.934251 2023/08/08 21:58:02 - mmengine - INFO - Epoch(train) [208][220/529] lr: 5.000000e-06 eta: 0:08:13 time: 0.360518 data_time: 0.032303 memory: 4565 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.923813 2023/08/08 21:58:05 - mmengine - INFO - Epoch(train) [208][230/529] lr: 5.000000e-06 eta: 0:08:09 time: 0.363439 data_time: 0.032400 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.950768 2023/08/08 21:58:09 - mmengine - INFO - Epoch(train) [208][240/529] lr: 5.000000e-06 eta: 0:08:05 time: 0.361888 data_time: 0.032441 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.921890 2023/08/08 21:58:13 - mmengine - INFO - Epoch(train) [208][250/529] lr: 5.000000e-06 eta: 0:08:02 time: 0.360850 data_time: 0.032352 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.945580 2023/08/08 21:58:16 - mmengine - INFO - Epoch(train) [208][260/529] lr: 5.000000e-06 eta: 0:07:58 time: 0.361251 data_time: 0.032434 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.940633 2023/08/08 21:58:20 - mmengine - INFO - Epoch(train) [208][270/529] lr: 5.000000e-06 eta: 0:07:55 time: 0.361830 data_time: 0.032384 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.934756 2023/08/08 21:58:23 - mmengine - INFO - Epoch(train) [208][280/529] lr: 5.000000e-06 eta: 0:07:51 time: 0.359644 data_time: 0.032166 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.940327 2023/08/08 21:58:27 - mmengine - INFO - Epoch(train) [208][290/529] lr: 5.000000e-06 eta: 0:07:47 time: 0.359219 data_time: 0.031858 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.929791 2023/08/08 21:58:31 - mmengine - INFO - Epoch(train) [208][300/529] lr: 5.000000e-06 eta: 0:07:44 time: 0.360970 data_time: 0.031841 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.943229 2023/08/08 21:58:34 - mmengine - INFO - Epoch(train) [208][310/529] lr: 5.000000e-06 eta: 0:07:40 time: 0.361733 data_time: 0.031885 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.980217 2023/08/08 21:58:38 - mmengine - INFO - Epoch(train) [208][320/529] lr: 5.000000e-06 eta: 0:07:37 time: 0.363609 data_time: 0.032211 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.951496 2023/08/08 21:58:42 - mmengine - INFO - Epoch(train) [208][330/529] lr: 5.000000e-06 eta: 0:07:33 time: 0.365755 data_time: 0.032481 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.946708 2023/08/08 21:58:45 - mmengine - INFO - Epoch(train) [208][340/529] lr: 5.000000e-06 eta: 0:07:29 time: 0.364659 data_time: 0.032594 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.953580 2023/08/08 21:58:49 - mmengine - INFO - Epoch(train) [208][350/529] lr: 5.000000e-06 eta: 0:07:26 time: 0.363159 data_time: 0.032547 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.960168 2023/08/08 21:58:53 - mmengine - INFO - Epoch(train) [208][360/529] lr: 5.000000e-06 eta: 0:07:22 time: 0.368187 data_time: 0.032977 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.962841 2023/08/08 21:58:56 - mmengine - INFO - Epoch(train) [208][370/529] lr: 5.000000e-06 eta: 0:07:19 time: 0.365983 data_time: 0.032520 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.953609 2023/08/08 21:59:00 - mmengine - INFO - Epoch(train) [208][380/529] lr: 5.000000e-06 eta: 0:07:15 time: 0.365680 data_time: 0.032439 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.931643 2023/08/08 21:59:04 - mmengine - INFO - Epoch(train) [208][390/529] lr: 5.000000e-06 eta: 0:07:11 time: 0.368398 data_time: 0.032600 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.945015 2023/08/08 21:59:07 - mmengine - INFO - Epoch(train) [208][400/529] lr: 5.000000e-06 eta: 0:07:08 time: 0.368935 data_time: 0.032633 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.917767 2023/08/08 21:59:11 - mmengine - INFO - Epoch(train) [208][410/529] lr: 5.000000e-06 eta: 0:07:04 time: 0.362751 data_time: 0.031931 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.902886 2023/08/08 21:59:14 - mmengine - INFO - Epoch(train) [208][420/529] lr: 5.000000e-06 eta: 0:07:01 time: 0.363106 data_time: 0.032248 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.924483 2023/08/08 21:59:18 - mmengine - INFO - Epoch(train) [208][430/529] lr: 5.000000e-06 eta: 0:06:57 time: 0.360666 data_time: 0.032243 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.948786 2023/08/08 21:59:22 - mmengine - INFO - Epoch(train) [208][440/529] lr: 5.000000e-06 eta: 0:06:53 time: 0.362651 data_time: 0.032273 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.945598 2023/08/08 21:59:25 - mmengine - INFO - Epoch(train) [208][450/529] lr: 5.000000e-06 eta: 0:06:50 time: 0.361211 data_time: 0.032175 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.935341 2023/08/08 21:59:29 - mmengine - INFO - Epoch(train) [208][460/529] lr: 5.000000e-06 eta: 0:06:46 time: 0.361381 data_time: 0.032560 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.925044 2023/08/08 21:59:33 - mmengine - INFO - Epoch(train) [208][470/529] lr: 5.000000e-06 eta: 0:06:43 time: 0.361211 data_time: 0.032325 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.951193 2023/08/08 21:59:36 - mmengine - INFO - Epoch(train) [208][480/529] lr: 5.000000e-06 eta: 0:06:39 time: 0.360707 data_time: 0.032509 memory: 4565 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.937558 2023/08/08 21:59:40 - mmengine - INFO - Epoch(train) [208][490/529] lr: 5.000000e-06 eta: 0:06:35 time: 0.360339 data_time: 0.032493 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.965661 2023/08/08 21:59:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:59:43 - mmengine - INFO - Epoch(train) [208][500/529] lr: 5.000000e-06 eta: 0:06:32 time: 0.360673 data_time: 0.032770 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.948472 2023/08/08 21:59:47 - mmengine - INFO - Epoch(train) [208][510/529] lr: 5.000000e-06 eta: 0:06:28 time: 0.360931 data_time: 0.032665 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.957519 2023/08/08 21:59:51 - mmengine - INFO - Epoch(train) [208][520/529] lr: 5.000000e-06 eta: 0:06:24 time: 0.361223 data_time: 0.032648 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.971671 2023/08/08 21:59:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 21:59:58 - mmengine - INFO - Epoch(train) [209][ 10/529] lr: 5.000000e-06 eta: 0:06:18 time: 0.359619 data_time: 0.035966 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.940592 2023/08/08 22:00:01 - mmengine - INFO - Epoch(train) [209][ 20/529] lr: 5.000000e-06 eta: 0:06:14 time: 0.361463 data_time: 0.035758 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.933704 2023/08/08 22:00:05 - mmengine - INFO - Epoch(train) [209][ 30/529] lr: 5.000000e-06 eta: 0:06:10 time: 0.360779 data_time: 0.035618 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.940688 2023/08/08 22:00:09 - mmengine - INFO - Epoch(train) [209][ 40/529] lr: 5.000000e-06 eta: 0:06:07 time: 0.365524 data_time: 0.036015 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.902293 2023/08/08 22:00:12 - mmengine - INFO - Epoch(train) [209][ 50/529] lr: 5.000000e-06 eta: 0:06:03 time: 0.366752 data_time: 0.036308 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.964276 2023/08/08 22:00:16 - mmengine - INFO - Epoch(train) [209][ 60/529] lr: 5.000000e-06 eta: 0:06:00 time: 0.363316 data_time: 0.032134 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.959656 2023/08/08 22:00:19 - mmengine - INFO - Epoch(train) [209][ 70/529] lr: 5.000000e-06 eta: 0:05:56 time: 0.360660 data_time: 0.031874 memory: 4565 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.941894 2023/08/08 22:00:23 - mmengine - INFO - Epoch(train) [209][ 80/529] lr: 5.000000e-06 eta: 0:05:52 time: 0.361802 data_time: 0.032138 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.855659 2023/08/08 22:00:26 - mmengine - INFO - Epoch(train) [209][ 90/529] lr: 5.000000e-06 eta: 0:05:49 time: 0.357130 data_time: 0.031688 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.948319 2023/08/08 22:00:30 - mmengine - INFO - Epoch(train) [209][100/529] lr: 5.000000e-06 eta: 0:05:45 time: 0.360624 data_time: 0.031859 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.917662 2023/08/08 22:00:34 - mmengine - INFO - Epoch(train) [209][110/529] lr: 5.000000e-06 eta: 0:05:42 time: 0.360960 data_time: 0.031993 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.953225 2023/08/08 22:00:37 - mmengine - INFO - Epoch(train) [209][120/529] lr: 5.000000e-06 eta: 0:05:38 time: 0.362089 data_time: 0.032169 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.922587 2023/08/08 22:00:41 - mmengine - INFO - Epoch(train) [209][130/529] lr: 5.000000e-06 eta: 0:05:34 time: 0.363199 data_time: 0.031878 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.956386 2023/08/08 22:00:45 - mmengine - INFO - Epoch(train) [209][140/529] lr: 5.000000e-06 eta: 0:05:31 time: 0.363728 data_time: 0.031931 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.975781 2023/08/08 22:00:48 - mmengine - INFO - Epoch(train) [209][150/529] lr: 5.000000e-06 eta: 0:05:27 time: 0.363447 data_time: 0.031884 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.901848 2023/08/08 22:00:52 - mmengine - INFO - Epoch(train) [209][160/529] lr: 5.000000e-06 eta: 0:05:23 time: 0.363202 data_time: 0.032023 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.925871 2023/08/08 22:00:56 - mmengine - INFO - Epoch(train) [209][170/529] lr: 5.000000e-06 eta: 0:05:20 time: 0.365722 data_time: 0.032575 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.938510 2023/08/08 22:00:59 - mmengine - INFO - Epoch(train) [209][180/529] lr: 5.000000e-06 eta: 0:05:16 time: 0.364326 data_time: 0.032924 memory: 4565 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.962411 2023/08/08 22:01:03 - mmengine - INFO - Epoch(train) [209][190/529] lr: 5.000000e-06 eta: 0:05:13 time: 0.363055 data_time: 0.032694 memory: 4565 loss: 0.000495 loss_kpt: 0.000495 acc_pose: 0.925168 2023/08/08 22:01:06 - mmengine - INFO - Epoch(train) [209][200/529] lr: 5.000000e-06 eta: 0:05:09 time: 0.360133 data_time: 0.032666 memory: 4565 loss: 0.000493 loss_kpt: 0.000493 acc_pose: 0.910586 2023/08/08 22:01:10 - mmengine - INFO - Epoch(train) [209][210/529] lr: 5.000000e-06 eta: 0:05:05 time: 0.367404 data_time: 0.036005 memory: 4565 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.861440 2023/08/08 22:01:14 - mmengine - INFO - Epoch(train) [209][220/529] lr: 5.000000e-06 eta: 0:05:02 time: 0.365486 data_time: 0.035660 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.952816 2023/08/08 22:01:18 - mmengine - INFO - Epoch(train) [209][230/529] lr: 5.000000e-06 eta: 0:04:58 time: 0.365787 data_time: 0.035304 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.957860 2023/08/08 22:01:21 - mmengine - INFO - Epoch(train) [209][240/529] lr: 5.000000e-06 eta: 0:04:55 time: 0.366650 data_time: 0.035649 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.912609 2023/08/08 22:01:25 - mmengine - INFO - Epoch(train) [209][250/529] lr: 5.000000e-06 eta: 0:04:51 time: 0.367350 data_time: 0.035457 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.939861 2023/08/08 22:01:28 - mmengine - INFO - Epoch(train) [209][260/529] lr: 5.000000e-06 eta: 0:04:47 time: 0.359254 data_time: 0.032045 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.945768 2023/08/08 22:01:32 - mmengine - INFO - Epoch(train) [209][270/529] lr: 5.000000e-06 eta: 0:04:44 time: 0.358796 data_time: 0.032033 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.935584 2023/08/08 22:01:36 - mmengine - INFO - Epoch(train) [209][280/529] lr: 5.000000e-06 eta: 0:04:40 time: 0.362929 data_time: 0.036057 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.953567 2023/08/08 22:01:39 - mmengine - INFO - Epoch(train) [209][290/529] lr: 5.000000e-06 eta: 0:04:37 time: 0.362467 data_time: 0.035872 memory: 4565 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.921718 2023/08/08 22:01:43 - mmengine - INFO - Epoch(train) [209][300/529] lr: 5.000000e-06 eta: 0:04:33 time: 0.368817 data_time: 0.036331 memory: 4565 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.939127 2023/08/08 22:01:47 - mmengine - INFO - Epoch(train) [209][310/529] lr: 5.000000e-06 eta: 0:04:29 time: 0.376650 data_time: 0.036449 memory: 4565 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.957337 2023/08/08 22:01:51 - mmengine - INFO - Epoch(train) [209][320/529] lr: 5.000000e-06 eta: 0:04:26 time: 0.376995 data_time: 0.036179 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.944337 2023/08/08 22:01:54 - mmengine - INFO - Epoch(train) [209][330/529] lr: 5.000000e-06 eta: 0:04:22 time: 0.372829 data_time: 0.032080 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.960428 2023/08/08 22:01:58 - mmengine - INFO - Epoch(train) [209][340/529] lr: 5.000000e-06 eta: 0:04:19 time: 0.375134 data_time: 0.032078 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.921999 2023/08/08 22:02:02 - mmengine - INFO - Epoch(train) [209][350/529] lr: 5.000000e-06 eta: 0:04:15 time: 0.369463 data_time: 0.031709 memory: 4565 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.936715 2023/08/08 22:02:05 - mmengine - INFO - Epoch(train) [209][360/529] lr: 5.000000e-06 eta: 0:04:11 time: 0.364144 data_time: 0.031438 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.943579 2023/08/08 22:02:09 - mmengine - INFO - Epoch(train) [209][370/529] lr: 5.000000e-06 eta: 0:04:08 time: 0.363742 data_time: 0.031997 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.946238 2023/08/08 22:02:12 - mmengine - INFO - Epoch(train) [209][380/529] lr: 5.000000e-06 eta: 0:04:04 time: 0.360535 data_time: 0.032168 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.929009 2023/08/08 22:02:16 - mmengine - INFO - Epoch(train) [209][390/529] lr: 5.000000e-06 eta: 0:04:01 time: 0.359641 data_time: 0.032146 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.934971 2023/08/08 22:02:20 - mmengine - INFO - Epoch(train) [209][400/529] lr: 5.000000e-06 eta: 0:03:57 time: 0.358701 data_time: 0.032271 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.910819 2023/08/08 22:02:23 - mmengine - INFO - Epoch(train) [209][410/529] lr: 5.000000e-06 eta: 0:03:53 time: 0.355421 data_time: 0.032325 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.906226 2023/08/08 22:02:27 - mmengine - INFO - Epoch(train) [209][420/529] lr: 5.000000e-06 eta: 0:03:50 time: 0.354596 data_time: 0.031908 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.926094 2023/08/08 22:02:31 - mmengine - INFO - Epoch(train) [209][430/529] lr: 5.000000e-06 eta: 0:03:46 time: 0.360420 data_time: 0.032049 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.952676 2023/08/08 22:02:34 - mmengine - INFO - Epoch(train) [209][440/529] lr: 5.000000e-06 eta: 0:03:42 time: 0.358020 data_time: 0.032110 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.949132 2023/08/08 22:02:38 - mmengine - INFO - Epoch(train) [209][450/529] lr: 5.000000e-06 eta: 0:03:39 time: 0.356162 data_time: 0.032107 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.933611 2023/08/08 22:02:41 - mmengine - INFO - Epoch(train) [209][460/529] lr: 5.000000e-06 eta: 0:03:35 time: 0.355324 data_time: 0.031990 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.947958 2023/08/08 22:02:45 - mmengine - INFO - Epoch(train) [209][470/529] lr: 5.000000e-06 eta: 0:03:32 time: 0.354979 data_time: 0.032045 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.940722 2023/08/08 22:02:48 - mmengine - INFO - Epoch(train) [209][480/529] lr: 5.000000e-06 eta: 0:03:28 time: 0.352418 data_time: 0.031977 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.917030 2023/08/08 22:02:52 - mmengine - INFO - Epoch(train) [209][490/529] lr: 5.000000e-06 eta: 0:03:24 time: 0.356900 data_time: 0.032777 memory: 4565 loss: 0.000502 loss_kpt: 0.000502 acc_pose: 0.918194 2023/08/08 22:02:56 - mmengine - INFO - Epoch(train) [209][500/529] lr: 5.000000e-06 eta: 0:03:21 time: 0.365669 data_time: 0.033045 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.960433 2023/08/08 22:03:00 - mmengine - INFO - Epoch(train) [209][510/529] lr: 5.000000e-06 eta: 0:03:17 time: 0.374693 data_time: 0.033389 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.928390 2023/08/08 22:03:04 - mmengine - INFO - Epoch(train) [209][520/529] lr: 5.000000e-06 eta: 0:03:14 time: 0.382206 data_time: 0.033551 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.951119 2023/08/08 22:03:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 22:03:11 - mmengine - INFO - Epoch(train) [210][ 10/529] lr: 5.000000e-06 eta: 0:03:07 time: 0.389647 data_time: 0.037199 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.939296 2023/08/08 22:03:15 - mmengine - INFO - Epoch(train) [210][ 20/529] lr: 5.000000e-06 eta: 0:03:03 time: 0.391797 data_time: 0.037304 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.953871 2023/08/08 22:03:19 - mmengine - INFO - Epoch(train) [210][ 30/529] lr: 5.000000e-06 eta: 0:03:00 time: 0.392427 data_time: 0.037254 memory: 4565 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.901555 2023/08/08 22:03:23 - mmengine - INFO - Epoch(train) [210][ 40/529] lr: 5.000000e-06 eta: 0:02:56 time: 0.392638 data_time: 0.037263 memory: 4565 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.940158 2023/08/08 22:03:27 - mmengine - INFO - Epoch(train) [210][ 50/529] lr: 5.000000e-06 eta: 0:02:52 time: 0.400906 data_time: 0.037698 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.950424 2023/08/08 22:03:31 - mmengine - INFO - Epoch(train) [210][ 60/529] lr: 5.000000e-06 eta: 0:02:49 time: 0.397031 data_time: 0.036985 memory: 4565 loss: 0.000502 loss_kpt: 0.000502 acc_pose: 0.922332 2023/08/08 22:03:34 - mmengine - INFO - Epoch(train) [210][ 70/529] lr: 5.000000e-06 eta: 0:02:45 time: 0.388269 data_time: 0.036824 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.908354 2023/08/08 22:03:38 - mmengine - INFO - Epoch(train) [210][ 80/529] lr: 5.000000e-06 eta: 0:02:42 time: 0.381527 data_time: 0.036523 memory: 4565 loss: 0.000500 loss_kpt: 0.000500 acc_pose: 0.906867 2023/08/08 22:03:42 - mmengine - INFO - Epoch(train) [210][ 90/529] lr: 5.000000e-06 eta: 0:02:38 time: 0.373644 data_time: 0.036134 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.925681 2023/08/08 22:03:45 - mmengine - INFO - Epoch(train) [210][100/529] lr: 5.000000e-06 eta: 0:02:34 time: 0.365811 data_time: 0.035750 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.934455 2023/08/08 22:03:49 - mmengine - INFO - Epoch(train) [210][110/529] lr: 5.000000e-06 eta: 0:02:31 time: 0.357056 data_time: 0.031646 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.969193 2023/08/08 22:03:53 - mmengine - INFO - Epoch(train) [210][120/529] lr: 5.000000e-06 eta: 0:02:27 time: 0.360964 data_time: 0.032454 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.927265 2023/08/08 22:03:56 - mmengine - INFO - Epoch(train) [210][130/529] lr: 5.000000e-06 eta: 0:02:23 time: 0.363028 data_time: 0.032395 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.946025 2023/08/08 22:04:00 - mmengine - INFO - Epoch(train) [210][140/529] lr: 5.000000e-06 eta: 0:02:20 time: 0.365506 data_time: 0.032719 memory: 4565 loss: 0.000496 loss_kpt: 0.000496 acc_pose: 0.948678 2023/08/08 22:04:04 - mmengine - INFO - Epoch(train) [210][150/529] lr: 5.000000e-06 eta: 0:02:16 time: 0.370929 data_time: 0.033031 memory: 4565 loss: 0.000494 loss_kpt: 0.000494 acc_pose: 0.970901 2023/08/08 22:04:08 - mmengine - INFO - Epoch(train) [210][160/529] lr: 5.000000e-06 eta: 0:02:13 time: 0.375969 data_time: 0.033367 memory: 4565 loss: 0.000497 loss_kpt: 0.000497 acc_pose: 0.925738 2023/08/08 22:04:11 - mmengine - INFO - Epoch(train) [210][170/529] lr: 5.000000e-06 eta: 0:02:09 time: 0.371021 data_time: 0.032195 memory: 4565 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.934296 2023/08/08 22:04:15 - mmengine - INFO - Epoch(train) [210][180/529] lr: 5.000000e-06 eta: 0:02:05 time: 0.370191 data_time: 0.032655 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.927979 2023/08/08 22:04:18 - mmengine - INFO - Epoch(train) [210][190/529] lr: 5.000000e-06 eta: 0:02:02 time: 0.369430 data_time: 0.032586 memory: 4565 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.942160 2023/08/08 22:04:22 - mmengine - INFO - Epoch(train) [210][200/529] lr: 5.000000e-06 eta: 0:01:58 time: 0.365441 data_time: 0.032541 memory: 4565 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.962139 2023/08/08 22:04:26 - mmengine - INFO - Epoch(train) [210][210/529] lr: 5.000000e-06 eta: 0:01:55 time: 0.362408 data_time: 0.032475 memory: 4565 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.915062 2023/08/08 22:04:29 - mmengine - INFO - Epoch(train) [210][220/529] lr: 5.000000e-06 eta: 0:01:51 time: 0.363643 data_time: 0.033003 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.953333 2023/08/08 22:04:33 - mmengine - INFO - Epoch(train) [210][230/529] lr: 5.000000e-06 eta: 0:01:47 time: 0.361177 data_time: 0.032550 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.918237 2023/08/08 22:04:36 - mmengine - INFO - Epoch(train) [210][240/529] lr: 5.000000e-06 eta: 0:01:44 time: 0.360156 data_time: 0.032440 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.916554 2023/08/08 22:04:40 - mmengine - INFO - Epoch(train) [210][250/529] lr: 5.000000e-06 eta: 0:01:40 time: 0.361047 data_time: 0.032770 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.904018 2023/08/08 22:04:44 - mmengine - INFO - Epoch(train) [210][260/529] lr: 5.000000e-06 eta: 0:01:37 time: 0.363736 data_time: 0.036166 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.969829 2023/08/08 22:04:48 - mmengine - INFO - Epoch(train) [210][270/529] lr: 5.000000e-06 eta: 0:01:33 time: 0.364095 data_time: 0.035818 memory: 4565 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.937613 2023/08/08 22:04:51 - mmengine - INFO - Epoch(train) [210][280/529] lr: 5.000000e-06 eta: 0:01:29 time: 0.363954 data_time: 0.035797 memory: 4565 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.898312 2023/08/08 22:04:55 - mmengine - INFO - Epoch(train) [210][290/529] lr: 5.000000e-06 eta: 0:01:26 time: 0.364170 data_time: 0.035558 memory: 4565 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.877511 2023/08/08 22:04:58 - mmengine - INFO - Epoch(train) [210][300/529] lr: 5.000000e-06 eta: 0:01:22 time: 0.362195 data_time: 0.035075 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.924764 2023/08/08 22:05:02 - mmengine - INFO - Epoch(train) [210][310/529] lr: 5.000000e-06 eta: 0:01:19 time: 0.362403 data_time: 0.031638 memory: 4565 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.940920 2023/08/08 22:05:06 - mmengine - INFO - Epoch(train) [210][320/529] lr: 5.000000e-06 eta: 0:01:15 time: 0.362527 data_time: 0.031857 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.926608 2023/08/08 22:05:09 - mmengine - INFO - Epoch(train) [210][330/529] lr: 5.000000e-06 eta: 0:01:11 time: 0.365088 data_time: 0.032496 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.930506 2023/08/08 22:05:13 - mmengine - INFO - Epoch(train) [210][340/529] lr: 5.000000e-06 eta: 0:01:08 time: 0.364629 data_time: 0.032708 memory: 4565 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.954398 2023/08/08 22:05:16 - mmengine - INFO - Epoch(train) [210][350/529] lr: 5.000000e-06 eta: 0:01:04 time: 0.363204 data_time: 0.032685 memory: 4565 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.953302 2023/08/08 22:05:20 - mmengine - INFO - Epoch(train) [210][360/529] lr: 5.000000e-06 eta: 0:01:00 time: 0.358647 data_time: 0.032734 memory: 4565 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.925214 2023/08/08 22:05:24 - mmengine - INFO - Epoch(train) [210][370/529] lr: 5.000000e-06 eta: 0:00:57 time: 0.358791 data_time: 0.032672 memory: 4565 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.929266 2023/08/08 22:05:27 - mmengine - INFO - Epoch(train) [210][380/529] lr: 5.000000e-06 eta: 0:00:53 time: 0.357686 data_time: 0.032187 memory: 4565 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.927202 2023/08/08 22:05:31 - mmengine - INFO - Epoch(train) [210][390/529] lr: 5.000000e-06 eta: 0:00:50 time: 0.359906 data_time: 0.032524 memory: 4565 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.869654 2023/08/08 22:05:35 - mmengine - INFO - Epoch(train) [210][400/529] lr: 5.000000e-06 eta: 0:00:46 time: 0.361310 data_time: 0.032741 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.932059 2023/08/08 22:05:38 - mmengine - INFO - Epoch(train) [210][410/529] lr: 5.000000e-06 eta: 0:00:42 time: 0.361922 data_time: 0.032817 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.939356 2023/08/08 22:05:42 - mmengine - INFO - Epoch(train) [210][420/529] lr: 5.000000e-06 eta: 0:00:39 time: 0.361517 data_time: 0.033194 memory: 4565 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.969092 2023/08/08 22:05:45 - mmengine - INFO - Epoch(train) [210][430/529] lr: 5.000000e-06 eta: 0:00:35 time: 0.360756 data_time: 0.033225 memory: 4565 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.970853 2023/08/08 22:05:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 22:05:49 - mmengine - INFO - Epoch(train) [210][440/529] lr: 5.000000e-06 eta: 0:00:32 time: 0.359615 data_time: 0.033491 memory: 4565 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.954997 2023/08/08 22:05:53 - mmengine - INFO - Epoch(train) [210][450/529] lr: 5.000000e-06 eta: 0:00:28 time: 0.360508 data_time: 0.033970 memory: 4565 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.972144 2023/08/08 22:05:56 - mmengine - INFO - Epoch(train) [210][460/529] lr: 5.000000e-06 eta: 0:00:24 time: 0.365845 data_time: 0.037513 memory: 4565 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.925452 2023/08/08 22:06:00 - mmengine - INFO - Epoch(train) [210][470/529] lr: 5.000000e-06 eta: 0:00:21 time: 0.365055 data_time: 0.036872 memory: 4565 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.963899 2023/08/08 22:06:04 - mmengine - INFO - Epoch(train) [210][480/529] lr: 5.000000e-06 eta: 0:00:17 time: 0.368077 data_time: 0.036608 memory: 4565 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.945499 2023/08/08 22:06:07 - mmengine - INFO - Epoch(train) [210][490/529] lr: 5.000000e-06 eta: 0:00:14 time: 0.367626 data_time: 0.035777 memory: 4565 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.934553 2023/08/08 22:06:11 - mmengine - INFO - Epoch(train) [210][500/529] lr: 5.000000e-06 eta: 0:00:10 time: 0.367632 data_time: 0.035233 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.878261 2023/08/08 22:06:15 - mmengine - INFO - Epoch(train) [210][510/529] lr: 5.000000e-06 eta: 0:00:06 time: 0.362315 data_time: 0.031654 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.949685 2023/08/08 22:06:18 - mmengine - INFO - Epoch(train) [210][520/529] lr: 5.000000e-06 eta: 0:00:03 time: 0.363814 data_time: 0.031892 memory: 4565 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.956875 2023/08/08 22:06:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192_20230808_104621 2023/08/08 22:06:21 - mmengine - INFO - Saving checkpoint at 210 epochs 2023/08/08 22:06:27 - mmengine - INFO - Epoch(val) [210][ 10/127] eta: 0:00:24 time: 0.199262 data_time: 0.013955 memory: 4565 2023/08/08 22:06:29 - mmengine - INFO - Epoch(val) [210][ 20/127] eta: 0:00:21 time: 0.199000 data_time: 0.013629 memory: 1634 2023/08/08 22:06:31 - mmengine - INFO - Epoch(val) [210][ 30/127] eta: 0:00:19 time: 0.199115 data_time: 0.013766 memory: 1634 2023/08/08 22:06:33 - mmengine - INFO - Epoch(val) [210][ 40/127] eta: 0:00:17 time: 0.199281 data_time: 0.013894 memory: 1634 2023/08/08 22:06:35 - mmengine - INFO - Epoch(val) [210][ 50/127] eta: 0:00:15 time: 0.201210 data_time: 0.013962 memory: 1634 2023/08/08 22:06:37 - mmengine - INFO - Epoch(val) [210][ 60/127] eta: 0:00:13 time: 0.198697 data_time: 0.011748 memory: 1634 2023/08/08 22:06:39 - mmengine - INFO - Epoch(val) [210][ 70/127] eta: 0:00:11 time: 0.198902 data_time: 0.011946 memory: 1634 2023/08/08 22:06:41 - mmengine - INFO - Epoch(val) [210][ 80/127] eta: 0:00:09 time: 0.199017 data_time: 0.011887 memory: 1634 2023/08/08 22:06:43 - mmengine - INFO - Epoch(val) [210][ 90/127] eta: 0:00:07 time: 0.199343 data_time: 0.012323 memory: 1634 2023/08/08 22:06:45 - mmengine - INFO - Epoch(val) [210][100/127] eta: 0:00:05 time: 0.199421 data_time: 0.012391 memory: 1634 2023/08/08 22:06:47 - mmengine - INFO - Epoch(val) [210][110/127] eta: 0:00:03 time: 0.198978 data_time: 0.012059 memory: 1634 2023/08/08 22:06:49 - mmengine - INFO - Epoch(val) [210][120/127] eta: 0:00:01 time: 0.198742 data_time: 0.011839 memory: 1634 2023/08/08 22:06:51 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/08 22:06:51 - mmengine - INFO - Evaluating AUC... 2023/08/08 22:06:51 - mmengine - INFO - Evaluating EPE... 2023/08/08 22:06:51 - mmengine - INFO - Epoch(val) [210][127/127] PCK: 0.982829 AUC: 0.675689 EPE: 11.583588 data_time: 0.012652 time: 0.198260