2022/09/26 11:20:02 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.8.13 (default, Mar 28 2022, 11:38:47) [GCC 7.5.0] CUDA available: True numpy_random_seed: 1162411313 GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/lustre/share/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (GCC) 5.4.0 PyTorch: 1.12.1 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - 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_61,code=sm_61;-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;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.3.2 (built against CUDA 11.5) - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -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-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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, 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: 0.13.1 OpenCV: 4.6.0 MMEngine: 0.1.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: slurm Distributed training: True GPU number: 8 ------------------------------------------------------------ 2022/09/26 11:20:03 - mmengine - INFO - Config: default_scope = 'mmpose' default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=50), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=10, max_keep_ckpts=1, save_best='coco/AP', rule='greater'), sampler_seed=dict(type='DistSamplerSeedHook'), visualization=dict(type='PoseVisualizationHook', enable=False)) custom_hooks = [dict(type='SyncBuffersHook')] env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='PoseLocalVisualizer', vis_backends=[dict(type='LocalVisBackend')], name='visualizer') log_processor = dict( type='LogProcessor', window_size=50, by_epoch=True, num_digits=6) log_level = 'INFO' load_from = None resume = False file_client_args = dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' })) train_cfg = dict(by_epoch=True, max_epochs=210, val_interval=10) val_cfg = dict() test_cfg = dict() optim_wrapper = dict(optimizer=dict(type='Adam', lr=0.0005)) param_scheduler = [ dict( type='LinearLR', begin=0, end=500, start_factor=0.001, by_epoch=False), dict( type='MultiStepLR', begin=0, end=210, milestones=[170, 200], gamma=0.1, by_epoch=True) ] auto_scale_lr = dict(base_batch_size=512) codec = dict( type='MSRAHeatmap', input_size=(288, 384), heatmap_size=(72, 96), sigma=3) model = dict( type='TopdownPoseEstimator', data_preprocessor=dict( type='PoseDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True), backbone=dict( type='ResNet', depth=152, init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet152')), head=dict( type='HeatmapHead', in_channels=2048, out_channels=17, loss=dict(type='KeypointMSELoss', use_target_weight=True), decoder=dict( type='MSRAHeatmap', input_size=(288, 384), heatmap_size=(72, 96), sigma=3)), test_cfg=dict(flip_test=True, flip_mode='heatmap', shift_heatmap=True)) dataset_type = 'CocoDataset' data_mode = 'topdown' data_root = 'data/coco/' train_pipeline = [ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='RandomFlip', direction='horizontal'), dict(type='RandomHalfBody'), dict(type='RandomBBoxTransform'), dict(type='TopdownAffine', input_size=(288, 384)), dict( type='GenerateTarget', target_type='heatmap', encoder=dict( type='MSRAHeatmap', input_size=(288, 384), heatmap_size=(72, 96), sigma=3)), dict(type='PackPoseInputs') ] val_pipeline = [ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='TopdownAffine', input_size=(288, 384)), dict(type='PackPoseInputs') ] train_dataloader = dict( batch_size=32, num_workers=2, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='CocoDataset', data_root='data/coco/', data_mode='topdown', ann_file='annotations/person_keypoints_train2017.json', data_prefix=dict(img='train2017/'), pipeline=[ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='RandomFlip', direction='horizontal'), dict(type='RandomHalfBody'), dict(type='RandomBBoxTransform'), dict(type='TopdownAffine', input_size=(288, 384)), dict( type='GenerateTarget', target_type='heatmap', encoder=dict( type='MSRAHeatmap', input_size=(288, 384), heatmap_size=(72, 96), sigma=3)), dict(type='PackPoseInputs') ])) val_dataloader = dict( batch_size=32, num_workers=2, persistent_workers=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False, round_up=False), dataset=dict( type='CocoDataset', data_root='data/coco/', data_mode='topdown', ann_file='annotations/person_keypoints_val2017.json', bbox_file= 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json', data_prefix=dict(img='val2017/'), test_mode=True, pipeline=[ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='TopdownAffine', input_size=(288, 384)), dict(type='PackPoseInputs') ])) test_dataloader = dict( batch_size=32, num_workers=2, persistent_workers=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False, round_up=False), dataset=dict( type='CocoDataset', data_root='data/coco/', data_mode='topdown', ann_file='annotations/person_keypoints_val2017.json', bbox_file= 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json', data_prefix=dict(img='val2017/'), test_mode=True, pipeline=[ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='TopdownAffine', input_size=(288, 384)), dict(type='PackPoseInputs') ])) val_evaluator = dict( type='CocoMetric', ann_file='data/coco/annotations/person_keypoints_val2017.json') test_evaluator = dict( type='CocoMetric', ann_file='data/coco/annotations/person_keypoints_val2017.json') launcher = 'slurm' work_dir = '/mnt/lustre/liqikai/work_dirs/20220926/r152_384/' 2022/09/26 11:20:44 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "data sampler" registry tree. As a workaround, the current "data sampler" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:44 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "optimizer wrapper constructor" registry tree. As a workaround, the current "optimizer wrapper constructor" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:44 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "optimizer" registry tree. As a workaround, the current "optimizer" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:44 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "optim_wrapper" registry tree. As a workaround, the current "optim_wrapper" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:44 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "parameter scheduler" registry tree. As a workaround, the current "parameter scheduler" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:44 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "parameter scheduler" registry tree. As a workaround, the current "parameter scheduler" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:44 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "parameter scheduler" registry tree. As a workaround, the current "parameter scheduler" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:44 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "parameter scheduler" registry tree. As a workaround, the current "parameter scheduler" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:47 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "data sampler" registry tree. As a workaround, the current "data sampler" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:49 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "weight initializer" registry tree. As a workaround, the current "weight initializer" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:54 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "weight initializer" registry tree. As a workaround, the current "weight initializer" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. 2022/09/26 11:20:54 - mmengine - WARNING - Failed to search registry with scope "mmpose" in the "weight initializer" registry tree. As a workaround, the current "weight initializer" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmpose" is a correct scope, or whether the registry is initialized. Name of parameter - Initialization information backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet152 backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.4.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.4.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.4.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.4.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.4.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.4.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.4.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.4.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.4.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.5.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.5.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.5.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.5.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.5.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.5.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.5.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.5.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.5.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.6.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.6.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.6.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.6.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.6.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.6.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.6.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.6.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.6.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.7.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.7.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.7.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.7.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.7.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.7.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.7.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.7.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer2.7.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.6.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.6.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.6.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.6.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.6.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.6.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.6.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.6.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.6.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.7.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.7.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.7.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.7.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.7.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.7.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.7.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.7.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.7.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.8.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.8.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.8.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.8.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.8.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.8.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.8.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.8.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.8.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.9.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.9.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.9.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.9.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.9.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.9.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.9.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.9.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.9.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.10.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.10.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.10.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.10.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.10.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.10.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.10.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.10.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.10.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.11.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.11.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.11.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.11.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.11.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.11.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.11.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.11.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.11.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.12.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.12.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.12.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.12.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.12.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.12.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.12.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.12.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.12.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.13.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.13.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.13.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.13.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.13.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.13.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.13.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.13.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.13.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.14.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.14.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.14.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.14.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.14.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.14.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.14.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.14.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.14.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.15.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.15.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.15.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.15.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.15.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.15.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.15.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.15.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.15.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.16.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.16.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.16.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.16.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.16.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.16.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.16.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.16.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.16.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.17.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.17.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.17.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.17.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.17.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.17.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.17.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.17.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.17.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.18.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.18.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.18.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.18.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.18.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.18.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.18.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.18.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.18.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.19.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.19.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.19.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.19.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.19.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.19.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.19.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.19.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.19.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.20.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.20.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.20.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.20.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.20.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.20.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.20.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.20.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.20.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.21.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.21.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.21.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.21.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.21.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.21.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.21.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.21.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.21.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.22.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.22.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.22.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.22.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.22.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.22.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.22.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.22.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.22.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.23.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.23.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.23.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.23.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.23.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.23.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.23.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.23.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.23.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.24.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.24.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.24.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.24.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.24.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.24.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.24.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.24.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.24.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.25.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.25.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.25.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.25.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.25.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.25.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.25.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.25.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.25.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.26.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.26.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.26.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.26.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.26.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.26.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.26.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.26.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.26.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.27.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.27.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.27.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.27.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.27.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.27.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.27.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.27.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.27.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.28.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.28.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.28.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.28.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.28.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.28.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.28.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.28.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.28.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.29.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.29.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.29.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.29.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.29.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.29.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.29.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.29.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.29.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.30.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.30.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.30.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.30.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.30.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.30.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.30.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.30.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.30.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.31.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.31.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.31.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.31.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.31.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.31.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.31.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.31.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.31.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.32.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.32.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.32.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.32.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.32.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.32.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.32.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.32.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.32.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.33.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.33.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.33.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.33.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.33.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.33.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.33.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.33.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.33.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.34.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.34.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.34.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.34.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.34.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.34.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.34.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.34.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.34.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.35.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.35.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.35.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.35.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.35.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.35.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.35.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.35.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer3.35.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet152 backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet152 head.deconv_layers.0.weight - torch.Size([2048, 256, 4, 4]): NormalInit: mean=0, std=0.001, bias=0 head.deconv_layers.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator head.deconv_layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator head.deconv_layers.3.weight - torch.Size([256, 256, 4, 4]): NormalInit: mean=0, std=0.001, bias=0 head.deconv_layers.4.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator head.deconv_layers.4.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator head.deconv_layers.6.weight - torch.Size([256, 256, 4, 4]): NormalInit: mean=0, std=0.001, bias=0 head.deconv_layers.7.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator head.deconv_layers.7.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator head.final_layer.weight - torch.Size([17, 256, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 head.final_layer.bias - torch.Size([17]): NormalInit: mean=0, std=0.001, bias=0 2022/09/26 11:20:54 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/liqikai/work_dirs/20220926/r152_384 by HardDiskBackend. 2022/09/26 11:21:45 - mmengine - INFO - Epoch(train) [1][50/586] lr: 4.954910e-05 eta: 1 day, 11:05:58 time: 1.027222 data_time: 0.286454 memory: 14278 loss_kpt: 0.002123 acc_pose: 0.228298 loss: 0.002123 2022/09/26 11:22:11 - mmengine - INFO - Epoch(train) [1][100/586] lr: 9.959920e-05 eta: 1 day, 2:23:10 time: 0.517849 data_time: 0.070180 memory: 14278 loss_kpt: 0.001677 acc_pose: 0.411827 loss: 0.001677 2022/09/26 11:22:37 - mmengine - INFO - Epoch(train) [1][150/586] lr: 1.496493e-04 eta: 23:22:27 time: 0.508821 data_time: 0.041845 memory: 14278 loss_kpt: 0.001385 acc_pose: 0.547247 loss: 0.001385 2022/09/26 11:22:59 - mmengine - INFO - Epoch(train) [1][200/586] lr: 1.996994e-04 eta: 21:23:36 time: 0.453570 data_time: 0.030980 memory: 14278 loss_kpt: 0.001295 acc_pose: 0.626835 loss: 0.001295 2022/09/26 11:23:22 - mmengine - INFO - Epoch(train) [1][250/586] lr: 2.497495e-04 eta: 20:14:30 time: 0.459325 data_time: 0.031916 memory: 14278 loss_kpt: 0.001266 acc_pose: 0.582949 loss: 0.001266 2022/09/26 11:23:45 - mmengine - INFO - Epoch(train) [1][300/586] lr: 2.997996e-04 eta: 19:29:54 time: 0.464020 data_time: 0.059702 memory: 14278 loss_kpt: 0.001188 acc_pose: 0.585188 loss: 0.001188 2022/09/26 11:24:12 - mmengine - INFO - Epoch(train) [1][350/586] lr: 3.498497e-04 eta: 19:15:39 time: 0.524645 data_time: 0.040353 memory: 14278 loss_kpt: 0.001188 acc_pose: 0.673146 loss: 0.001188 2022/09/26 11:24:34 - mmengine - INFO - Epoch(train) [1][400/586] lr: 3.998998e-04 eta: 18:46:01 time: 0.450981 data_time: 0.032399 memory: 14278 loss_kpt: 0.001206 acc_pose: 0.601011 loss: 0.001206 2022/09/26 11:24:58 - mmengine - INFO - Epoch(train) [1][450/586] lr: 4.499499e-04 eta: 18:27:02 time: 0.469198 data_time: 0.039500 memory: 14278 loss_kpt: 0.001174 acc_pose: 0.586919 loss: 0.001174 2022/09/26 11:25:20 - mmengine - INFO - Epoch(train) [1][500/586] lr: 5.000000e-04 eta: 18:06:36 time: 0.443951 data_time: 0.037213 memory: 14278 loss_kpt: 0.001173 acc_pose: 0.552034 loss: 0.001173 2022/09/26 11:25:41 - mmengine - INFO - Epoch(train) [1][550/586] lr: 5.000000e-04 eta: 17:47:50 time: 0.433226 data_time: 0.029993 memory: 14278 loss_kpt: 0.001157 acc_pose: 0.575675 loss: 0.001157 2022/09/26 11:25:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:26:21 - mmengine - INFO - Epoch(train) [2][50/586] lr: 5.000000e-04 eta: 16:35:58 time: 0.456119 data_time: 0.046273 memory: 14278 loss_kpt: 0.001151 acc_pose: 0.578085 loss: 0.001151 2022/09/26 11:26:43 - mmengine - INFO - Epoch(train) [2][100/586] lr: 5.000000e-04 eta: 16:28:49 time: 0.442811 data_time: 0.031373 memory: 14278 loss_kpt: 0.001130 acc_pose: 0.600567 loss: 0.001130 2022/09/26 11:27:05 - mmengine - INFO - Epoch(train) [2][150/586] lr: 5.000000e-04 eta: 16:20:57 time: 0.430916 data_time: 0.030331 memory: 14278 loss_kpt: 0.001086 acc_pose: 0.614940 loss: 0.001086 2022/09/26 11:27:27 - mmengine - INFO - Epoch(train) [2][200/586] lr: 5.000000e-04 eta: 16:16:37 time: 0.450838 data_time: 0.035258 memory: 14278 loss_kpt: 0.001068 acc_pose: 0.763620 loss: 0.001068 2022/09/26 11:27:50 - mmengine - INFO - Epoch(train) [2][250/586] lr: 5.000000e-04 eta: 16:13:52 time: 0.459917 data_time: 0.028126 memory: 14278 loss_kpt: 0.001045 acc_pose: 0.575456 loss: 0.001045 2022/09/26 11:28:13 - mmengine - INFO - Epoch(train) [2][300/586] lr: 5.000000e-04 eta: 16:11:07 time: 0.457720 data_time: 0.032484 memory: 14278 loss_kpt: 0.001054 acc_pose: 0.687506 loss: 0.001054 2022/09/26 11:28:35 - mmengine - INFO - Epoch(train) [2][350/586] lr: 5.000000e-04 eta: 16:07:09 time: 0.443990 data_time: 0.033203 memory: 14278 loss_kpt: 0.001037 acc_pose: 0.594057 loss: 0.001037 2022/09/26 11:28:58 - mmengine - INFO - Epoch(train) [2][400/586] lr: 5.000000e-04 eta: 16:04:44 time: 0.455589 data_time: 0.030178 memory: 14278 loss_kpt: 0.001020 acc_pose: 0.626982 loss: 0.001020 2022/09/26 11:29:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:29:21 - mmengine - INFO - Epoch(train) [2][450/586] lr: 5.000000e-04 eta: 16:01:46 time: 0.447951 data_time: 0.031186 memory: 14278 loss_kpt: 0.001015 acc_pose: 0.699961 loss: 0.001015 2022/09/26 11:29:44 - mmengine - INFO - Epoch(train) [2][500/586] lr: 5.000000e-04 eta: 16:00:55 time: 0.468174 data_time: 0.038407 memory: 14278 loss_kpt: 0.001023 acc_pose: 0.596337 loss: 0.001023 2022/09/26 11:30:06 - mmengine - INFO - Epoch(train) [2][550/586] lr: 5.000000e-04 eta: 15:57:45 time: 0.441589 data_time: 0.028572 memory: 14278 loss_kpt: 0.001002 acc_pose: 0.667809 loss: 0.001002 2022/09/26 11:30:21 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:30:45 - mmengine - INFO - Epoch(train) [3][50/586] lr: 5.000000e-04 eta: 15:28:15 time: 0.463734 data_time: 0.039420 memory: 14278 loss_kpt: 0.001019 acc_pose: 0.669671 loss: 0.001019 2022/09/26 11:31:06 - mmengine - INFO - Epoch(train) [3][100/586] lr: 5.000000e-04 eta: 15:25:33 time: 0.428189 data_time: 0.031240 memory: 14278 loss_kpt: 0.000980 acc_pose: 0.616639 loss: 0.000980 2022/09/26 11:31:29 - mmengine - INFO - Epoch(train) [3][150/586] lr: 5.000000e-04 eta: 15:25:32 time: 0.460536 data_time: 0.038655 memory: 14278 loss_kpt: 0.000984 acc_pose: 0.716649 loss: 0.000984 2022/09/26 11:31:52 - mmengine - INFO - Epoch(train) [3][200/586] lr: 5.000000e-04 eta: 15:24:48 time: 0.451458 data_time: 0.035393 memory: 14278 loss_kpt: 0.000980 acc_pose: 0.712707 loss: 0.000980 2022/09/26 11:32:14 - mmengine - INFO - Epoch(train) [3][250/586] lr: 5.000000e-04 eta: 15:24:12 time: 0.452964 data_time: 0.031107 memory: 14278 loss_kpt: 0.000999 acc_pose: 0.619219 loss: 0.000999 2022/09/26 11:32:36 - mmengine - INFO - Epoch(train) [3][300/586] lr: 5.000000e-04 eta: 15:22:10 time: 0.431845 data_time: 0.032301 memory: 14278 loss_kpt: 0.000975 acc_pose: 0.805884 loss: 0.000975 2022/09/26 11:32:58 - mmengine - INFO - Epoch(train) [3][350/586] lr: 5.000000e-04 eta: 15:21:27 time: 0.449999 data_time: 0.033677 memory: 14278 loss_kpt: 0.000999 acc_pose: 0.700727 loss: 0.000999 2022/09/26 11:33:22 - mmengine - INFO - Epoch(train) [3][400/586] lr: 5.000000e-04 eta: 15:22:06 time: 0.470729 data_time: 0.040057 memory: 14278 loss_kpt: 0.000969 acc_pose: 0.535106 loss: 0.000969 2022/09/26 11:33:44 - mmengine - INFO - Epoch(train) [3][450/586] lr: 5.000000e-04 eta: 15:20:43 time: 0.439509 data_time: 0.033287 memory: 14278 loss_kpt: 0.000965 acc_pose: 0.634787 loss: 0.000965 2022/09/26 11:34:06 - mmengine - INFO - Epoch(train) [3][500/586] lr: 5.000000e-04 eta: 15:19:28 time: 0.440533 data_time: 0.034329 memory: 14278 loss_kpt: 0.000974 acc_pose: 0.659951 loss: 0.000974 2022/09/26 11:34:28 - mmengine - INFO - Epoch(train) [3][550/586] lr: 5.000000e-04 eta: 15:18:30 time: 0.444443 data_time: 0.030752 memory: 14278 loss_kpt: 0.000956 acc_pose: 0.770832 loss: 0.000956 2022/09/26 11:34:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:35:09 - mmengine - INFO - Epoch(train) [4][50/586] lr: 5.000000e-04 eta: 14:59:30 time: 0.452926 data_time: 0.044062 memory: 14278 loss_kpt: 0.000932 acc_pose: 0.778219 loss: 0.000932 2022/09/26 11:35:32 - mmengine - INFO - Epoch(train) [4][100/586] lr: 5.000000e-04 eta: 14:59:48 time: 0.457352 data_time: 0.035513 memory: 14278 loss_kpt: 0.000913 acc_pose: 0.696087 loss: 0.000913 2022/09/26 11:35:54 - mmengine - INFO - Epoch(train) [4][150/586] lr: 5.000000e-04 eta: 14:59:36 time: 0.448547 data_time: 0.036099 memory: 14278 loss_kpt: 0.000955 acc_pose: 0.732512 loss: 0.000955 2022/09/26 11:36:16 - mmengine - INFO - Epoch(train) [4][200/586] lr: 5.000000e-04 eta: 14:58:59 time: 0.440995 data_time: 0.032089 memory: 14278 loss_kpt: 0.000914 acc_pose: 0.812878 loss: 0.000914 2022/09/26 11:36:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:36:38 - mmengine - INFO - Epoch(train) [4][250/586] lr: 5.000000e-04 eta: 14:58:10 time: 0.436335 data_time: 0.033234 memory: 14278 loss_kpt: 0.000919 acc_pose: 0.722884 loss: 0.000919 2022/09/26 11:37:01 - mmengine - INFO - Epoch(train) [4][300/586] lr: 5.000000e-04 eta: 14:58:33 time: 0.460702 data_time: 0.037909 memory: 14278 loss_kpt: 0.000919 acc_pose: 0.738560 loss: 0.000919 2022/09/26 11:37:24 - mmengine - INFO - Epoch(train) [4][350/586] lr: 5.000000e-04 eta: 14:58:49 time: 0.458916 data_time: 0.034100 memory: 14278 loss_kpt: 0.000880 acc_pose: 0.710584 loss: 0.000880 2022/09/26 11:37:46 - mmengine - INFO - Epoch(train) [4][400/586] lr: 5.000000e-04 eta: 14:57:48 time: 0.432151 data_time: 0.032841 memory: 14278 loss_kpt: 0.000885 acc_pose: 0.585027 loss: 0.000885 2022/09/26 11:38:07 - mmengine - INFO - Epoch(train) [4][450/586] lr: 5.000000e-04 eta: 14:57:03 time: 0.437177 data_time: 0.035279 memory: 14278 loss_kpt: 0.000924 acc_pose: 0.775712 loss: 0.000924 2022/09/26 11:38:30 - mmengine - INFO - Epoch(train) [4][500/586] lr: 5.000000e-04 eta: 14:56:34 time: 0.442634 data_time: 0.033235 memory: 14278 loss_kpt: 0.000914 acc_pose: 0.775362 loss: 0.000914 2022/09/26 11:38:54 - mmengine - INFO - Epoch(train) [4][550/586] lr: 5.000000e-04 eta: 14:57:51 time: 0.483511 data_time: 0.045344 memory: 14278 loss_kpt: 0.000924 acc_pose: 0.692493 loss: 0.000924 2022/09/26 11:39:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:39:33 - mmengine - INFO - Epoch(train) [5][50/586] lr: 5.000000e-04 eta: 14:44:39 time: 0.468067 data_time: 0.056484 memory: 14278 loss_kpt: 0.000903 acc_pose: 0.759392 loss: 0.000903 2022/09/26 11:39:55 - mmengine - INFO - Epoch(train) [5][100/586] lr: 5.000000e-04 eta: 14:44:24 time: 0.442675 data_time: 0.034224 memory: 14278 loss_kpt: 0.000892 acc_pose: 0.774489 loss: 0.000892 2022/09/26 11:40:17 - mmengine - INFO - Epoch(train) [5][150/586] lr: 5.000000e-04 eta: 14:44:01 time: 0.439905 data_time: 0.031132 memory: 14278 loss_kpt: 0.000896 acc_pose: 0.750806 loss: 0.000896 2022/09/26 11:40:41 - mmengine - INFO - Epoch(train) [5][200/586] lr: 5.000000e-04 eta: 14:45:07 time: 0.477054 data_time: 0.041496 memory: 14278 loss_kpt: 0.000886 acc_pose: 0.805922 loss: 0.000886 2022/09/26 11:41:03 - mmengine - INFO - Epoch(train) [5][250/586] lr: 5.000000e-04 eta: 14:44:48 time: 0.442019 data_time: 0.029866 memory: 14278 loss_kpt: 0.000892 acc_pose: 0.850475 loss: 0.000892 2022/09/26 11:41:25 - mmengine - INFO - Epoch(train) [5][300/586] lr: 5.000000e-04 eta: 14:44:35 time: 0.444577 data_time: 0.032811 memory: 14278 loss_kpt: 0.000901 acc_pose: 0.724892 loss: 0.000901 2022/09/26 11:41:47 - mmengine - INFO - Epoch(train) [5][350/586] lr: 5.000000e-04 eta: 14:43:52 time: 0.431152 data_time: 0.030621 memory: 14278 loss_kpt: 0.000864 acc_pose: 0.669797 loss: 0.000864 2022/09/26 11:42:09 - mmengine - INFO - Epoch(train) [5][400/586] lr: 5.000000e-04 eta: 14:43:19 time: 0.435736 data_time: 0.029340 memory: 14278 loss_kpt: 0.000878 acc_pose: 0.741248 loss: 0.000878 2022/09/26 11:42:31 - mmengine - INFO - Epoch(train) [5][450/586] lr: 5.000000e-04 eta: 14:42:59 time: 0.441620 data_time: 0.037327 memory: 14278 loss_kpt: 0.000882 acc_pose: 0.632459 loss: 0.000882 2022/09/26 11:42:54 - mmengine - INFO - Epoch(train) [5][500/586] lr: 5.000000e-04 eta: 14:43:19 time: 0.460120 data_time: 0.029618 memory: 14278 loss_kpt: 0.000879 acc_pose: 0.688440 loss: 0.000879 2022/09/26 11:43:16 - mmengine - INFO - Epoch(train) [5][550/586] lr: 5.000000e-04 eta: 14:42:50 time: 0.437580 data_time: 0.029142 memory: 14278 loss_kpt: 0.000869 acc_pose: 0.692052 loss: 0.000869 2022/09/26 11:43:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:43:54 - mmengine - INFO - Epoch(train) [6][50/586] lr: 5.000000e-04 eta: 14:31:54 time: 0.451477 data_time: 0.043425 memory: 14278 loss_kpt: 0.000889 acc_pose: 0.739494 loss: 0.000889 2022/09/26 11:44:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:44:17 - mmengine - INFO - Epoch(train) [6][100/586] lr: 5.000000e-04 eta: 14:32:06 time: 0.452816 data_time: 0.030485 memory: 14278 loss_kpt: 0.000859 acc_pose: 0.748470 loss: 0.000859 2022/09/26 11:44:39 - mmengine - INFO - Epoch(train) [6][150/586] lr: 5.000000e-04 eta: 14:32:04 time: 0.445747 data_time: 0.028901 memory: 14278 loss_kpt: 0.000895 acc_pose: 0.711516 loss: 0.000895 2022/09/26 11:45:02 - mmengine - INFO - Epoch(train) [6][200/586] lr: 5.000000e-04 eta: 14:32:36 time: 0.464647 data_time: 0.034500 memory: 14278 loss_kpt: 0.000846 acc_pose: 0.712645 loss: 0.000846 2022/09/26 11:45:24 - mmengine - INFO - Epoch(train) [6][250/586] lr: 5.000000e-04 eta: 14:32:27 time: 0.443400 data_time: 0.030497 memory: 14278 loss_kpt: 0.000876 acc_pose: 0.758547 loss: 0.000876 2022/09/26 11:45:46 - mmengine - INFO - Epoch(train) [6][300/586] lr: 5.000000e-04 eta: 14:31:51 time: 0.428789 data_time: 0.029570 memory: 14278 loss_kpt: 0.000858 acc_pose: 0.788492 loss: 0.000858 2022/09/26 11:46:08 - mmengine - INFO - Epoch(train) [6][350/586] lr: 5.000000e-04 eta: 14:31:42 time: 0.443522 data_time: 0.038781 memory: 14278 loss_kpt: 0.000887 acc_pose: 0.707747 loss: 0.000887 2022/09/26 11:46:31 - mmengine - INFO - Epoch(train) [6][400/586] lr: 5.000000e-04 eta: 14:32:09 time: 0.463926 data_time: 0.028581 memory: 14278 loss_kpt: 0.000859 acc_pose: 0.765890 loss: 0.000859 2022/09/26 11:46:53 - mmengine - INFO - Epoch(train) [6][450/586] lr: 5.000000e-04 eta: 14:31:40 time: 0.432979 data_time: 0.032004 memory: 14278 loss_kpt: 0.000858 acc_pose: 0.774236 loss: 0.000858 2022/09/26 11:47:15 - mmengine - INFO - Epoch(train) [6][500/586] lr: 5.000000e-04 eta: 14:31:32 time: 0.444956 data_time: 0.029359 memory: 14278 loss_kpt: 0.000865 acc_pose: 0.751794 loss: 0.000865 2022/09/26 11:47:37 - mmengine - INFO - Epoch(train) [6][550/586] lr: 5.000000e-04 eta: 14:31:14 time: 0.439511 data_time: 0.031482 memory: 14278 loss_kpt: 0.000859 acc_pose: 0.810377 loss: 0.000859 2022/09/26 11:47:53 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:48:17 - mmengine - INFO - Epoch(train) [7][50/586] lr: 5.000000e-04 eta: 14:22:56 time: 0.477071 data_time: 0.040054 memory: 14278 loss_kpt: 0.000863 acc_pose: 0.705418 loss: 0.000863 2022/09/26 11:48:39 - mmengine - INFO - Epoch(train) [7][100/586] lr: 5.000000e-04 eta: 14:22:42 time: 0.437692 data_time: 0.029756 memory: 14278 loss_kpt: 0.000845 acc_pose: 0.814157 loss: 0.000845 2022/09/26 11:49:01 - mmengine - INFO - Epoch(train) [7][150/586] lr: 5.000000e-04 eta: 14:22:20 time: 0.433246 data_time: 0.033032 memory: 14278 loss_kpt: 0.000865 acc_pose: 0.816452 loss: 0.000865 2022/09/26 11:49:24 - mmengine - INFO - Epoch(train) [7][200/586] lr: 5.000000e-04 eta: 14:22:34 time: 0.455677 data_time: 0.030664 memory: 14278 loss_kpt: 0.000852 acc_pose: 0.741753 loss: 0.000852 2022/09/26 11:49:45 - mmengine - INFO - Epoch(train) [7][250/586] lr: 5.000000e-04 eta: 14:22:15 time: 0.435121 data_time: 0.039096 memory: 14278 loss_kpt: 0.000838 acc_pose: 0.780033 loss: 0.000838 2022/09/26 11:50:08 - mmengine - INFO - Epoch(train) [7][300/586] lr: 5.000000e-04 eta: 14:22:31 time: 0.458236 data_time: 0.030468 memory: 14278 loss_kpt: 0.000864 acc_pose: 0.668334 loss: 0.000864 2022/09/26 11:50:30 - mmengine - INFO - Epoch(train) [7][350/586] lr: 5.000000e-04 eta: 14:22:09 time: 0.433721 data_time: 0.028885 memory: 14278 loss_kpt: 0.000855 acc_pose: 0.774693 loss: 0.000855 2022/09/26 11:50:52 - mmengine - INFO - Epoch(train) [7][400/586] lr: 5.000000e-04 eta: 14:22:00 time: 0.442201 data_time: 0.030239 memory: 14278 loss_kpt: 0.000829 acc_pose: 0.736925 loss: 0.000829 2022/09/26 11:51:14 - mmengine - INFO - Epoch(train) [7][450/586] lr: 5.000000e-04 eta: 14:21:52 time: 0.443043 data_time: 0.038200 memory: 14278 loss_kpt: 0.000853 acc_pose: 0.750092 loss: 0.000853 2022/09/26 11:51:29 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:51:36 - mmengine - INFO - Epoch(train) [7][500/586] lr: 5.000000e-04 eta: 14:21:39 time: 0.439962 data_time: 0.030258 memory: 14278 loss_kpt: 0.000853 acc_pose: 0.729872 loss: 0.000853 2022/09/26 11:51:59 - mmengine - INFO - Epoch(train) [7][550/586] lr: 5.000000e-04 eta: 14:21:55 time: 0.460135 data_time: 0.030405 memory: 14278 loss_kpt: 0.000833 acc_pose: 0.802805 loss: 0.000833 2022/09/26 11:52:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:52:39 - mmengine - INFO - Epoch(train) [8][50/586] lr: 5.000000e-04 eta: 14:14:22 time: 0.457641 data_time: 0.050078 memory: 14278 loss_kpt: 0.000838 acc_pose: 0.757379 loss: 0.000838 2022/09/26 11:53:01 - mmengine - INFO - Epoch(train) [8][100/586] lr: 5.000000e-04 eta: 14:14:22 time: 0.446105 data_time: 0.030899 memory: 14278 loss_kpt: 0.000827 acc_pose: 0.720619 loss: 0.000827 2022/09/26 11:53:25 - mmengine - INFO - Epoch(train) [8][150/586] lr: 5.000000e-04 eta: 14:14:56 time: 0.471013 data_time: 0.033107 memory: 14278 loss_kpt: 0.000821 acc_pose: 0.672290 loss: 0.000821 2022/09/26 11:53:47 - mmengine - INFO - Epoch(train) [8][200/586] lr: 5.000000e-04 eta: 14:14:56 time: 0.447345 data_time: 0.029152 memory: 14278 loss_kpt: 0.000828 acc_pose: 0.747198 loss: 0.000828 2022/09/26 11:54:10 - mmengine - INFO - Epoch(train) [8][250/586] lr: 5.000000e-04 eta: 14:15:09 time: 0.457318 data_time: 0.030909 memory: 14278 loss_kpt: 0.000845 acc_pose: 0.732411 loss: 0.000845 2022/09/26 11:54:32 - mmengine - INFO - Epoch(train) [8][300/586] lr: 5.000000e-04 eta: 14:15:03 time: 0.444056 data_time: 0.034112 memory: 14278 loss_kpt: 0.000831 acc_pose: 0.692434 loss: 0.000831 2022/09/26 11:54:54 - mmengine - INFO - Epoch(train) [8][350/586] lr: 5.000000e-04 eta: 14:14:55 time: 0.442353 data_time: 0.036883 memory: 14278 loss_kpt: 0.000803 acc_pose: 0.684293 loss: 0.000803 2022/09/26 11:55:16 - mmengine - INFO - Epoch(train) [8][400/586] lr: 5.000000e-04 eta: 14:14:42 time: 0.439066 data_time: 0.032079 memory: 14278 loss_kpt: 0.000822 acc_pose: 0.679005 loss: 0.000822 2022/09/26 11:55:46 - mmengine - INFO - Epoch(train) [8][450/586] lr: 5.000000e-04 eta: 14:17:43 time: 0.588610 data_time: 0.048604 memory: 14278 loss_kpt: 0.000832 acc_pose: 0.739381 loss: 0.000832 2022/09/26 11:56:10 - mmengine - INFO - Epoch(train) [8][500/586] lr: 5.000000e-04 eta: 14:18:39 time: 0.494504 data_time: 0.035095 memory: 14278 loss_kpt: 0.000817 acc_pose: 0.742429 loss: 0.000817 2022/09/26 11:56:32 - mmengine - INFO - Epoch(train) [8][550/586] lr: 5.000000e-04 eta: 14:18:24 time: 0.440353 data_time: 0.031501 memory: 14278 loss_kpt: 0.000846 acc_pose: 0.661697 loss: 0.000846 2022/09/26 11:56:48 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:57:11 - mmengine - INFO - Epoch(train) [9][50/586] lr: 5.000000e-04 eta: 14:11:49 time: 0.461865 data_time: 0.041560 memory: 14278 loss_kpt: 0.000844 acc_pose: 0.672188 loss: 0.000844 2022/09/26 11:57:33 - mmengine - INFO - Epoch(train) [9][100/586] lr: 5.000000e-04 eta: 14:11:32 time: 0.435173 data_time: 0.030557 memory: 14278 loss_kpt: 0.000838 acc_pose: 0.760524 loss: 0.000838 2022/09/26 11:57:56 - mmengine - INFO - Epoch(train) [9][150/586] lr: 5.000000e-04 eta: 14:11:46 time: 0.461541 data_time: 0.029506 memory: 14278 loss_kpt: 0.000814 acc_pose: 0.674442 loss: 0.000814 2022/09/26 11:58:19 - mmengine - INFO - Epoch(train) [9][200/586] lr: 5.000000e-04 eta: 14:11:50 time: 0.452980 data_time: 0.032014 memory: 14278 loss_kpt: 0.000815 acc_pose: 0.775323 loss: 0.000815 2022/09/26 11:58:41 - mmengine - INFO - Epoch(train) [9][250/586] lr: 5.000000e-04 eta: 14:11:39 time: 0.441504 data_time: 0.028672 memory: 14278 loss_kpt: 0.000826 acc_pose: 0.719583 loss: 0.000826 2022/09/26 11:59:03 - mmengine - INFO - Epoch(train) [9][300/586] lr: 5.000000e-04 eta: 14:11:28 time: 0.441408 data_time: 0.031671 memory: 14278 loss_kpt: 0.000807 acc_pose: 0.702154 loss: 0.000807 2022/09/26 11:59:08 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 11:59:25 - mmengine - INFO - Epoch(train) [9][350/586] lr: 5.000000e-04 eta: 14:11:18 time: 0.442752 data_time: 0.028693 memory: 14278 loss_kpt: 0.000815 acc_pose: 0.742365 loss: 0.000815 2022/09/26 11:59:48 - mmengine - INFO - Epoch(train) [9][400/586] lr: 5.000000e-04 eta: 14:11:20 time: 0.453173 data_time: 0.032803 memory: 14278 loss_kpt: 0.000811 acc_pose: 0.744808 loss: 0.000811 2022/09/26 12:00:13 - mmengine - INFO - Epoch(train) [9][450/586] lr: 5.000000e-04 eta: 14:12:15 time: 0.500056 data_time: 0.031931 memory: 14278 loss_kpt: 0.000813 acc_pose: 0.719222 loss: 0.000813 2022/09/26 12:00:35 - mmengine - INFO - Epoch(train) [9][500/586] lr: 5.000000e-04 eta: 14:12:06 time: 0.444532 data_time: 0.038219 memory: 14278 loss_kpt: 0.000800 acc_pose: 0.788491 loss: 0.000800 2022/09/26 12:00:57 - mmengine - INFO - Epoch(train) [9][550/586] lr: 5.000000e-04 eta: 14:11:45 time: 0.434553 data_time: 0.029334 memory: 14278 loss_kpt: 0.000800 acc_pose: 0.812025 loss: 0.000800 2022/09/26 12:01:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:01:37 - mmengine - INFO - Epoch(train) [10][50/586] lr: 5.000000e-04 eta: 14:06:00 time: 0.467326 data_time: 0.042822 memory: 14278 loss_kpt: 0.000818 acc_pose: 0.771417 loss: 0.000818 2022/09/26 12:01:58 - mmengine - INFO - Epoch(train) [10][100/586] lr: 5.000000e-04 eta: 14:05:41 time: 0.433460 data_time: 0.030410 memory: 14278 loss_kpt: 0.000793 acc_pose: 0.690917 loss: 0.000793 2022/09/26 12:02:20 - mmengine - INFO - Epoch(train) [10][150/586] lr: 5.000000e-04 eta: 14:05:25 time: 0.436376 data_time: 0.030820 memory: 14278 loss_kpt: 0.000801 acc_pose: 0.796825 loss: 0.000801 2022/09/26 12:02:43 - mmengine - INFO - Epoch(train) [10][200/586] lr: 5.000000e-04 eta: 14:05:22 time: 0.449177 data_time: 0.028668 memory: 14278 loss_kpt: 0.000796 acc_pose: 0.855429 loss: 0.000796 2022/09/26 12:03:05 - mmengine - INFO - Epoch(train) [10][250/586] lr: 5.000000e-04 eta: 14:05:15 time: 0.445106 data_time: 0.037288 memory: 14278 loss_kpt: 0.000784 acc_pose: 0.768055 loss: 0.000784 2022/09/26 12:03:27 - mmengine - INFO - Epoch(train) [10][300/586] lr: 5.000000e-04 eta: 14:05:11 time: 0.448180 data_time: 0.028403 memory: 14278 loss_kpt: 0.000795 acc_pose: 0.753951 loss: 0.000795 2022/09/26 12:03:49 - mmengine - INFO - Epoch(train) [10][350/586] lr: 5.000000e-04 eta: 14:04:51 time: 0.432871 data_time: 0.029714 memory: 14278 loss_kpt: 0.000803 acc_pose: 0.692412 loss: 0.000803 2022/09/26 12:04:11 - mmengine - INFO - Epoch(train) [10][400/586] lr: 5.000000e-04 eta: 14:04:41 time: 0.442655 data_time: 0.033116 memory: 14278 loss_kpt: 0.000790 acc_pose: 0.722778 loss: 0.000790 2022/09/26 12:04:33 - mmengine - INFO - Epoch(train) [10][450/586] lr: 5.000000e-04 eta: 14:04:27 time: 0.439397 data_time: 0.030896 memory: 14278 loss_kpt: 0.000816 acc_pose: 0.791851 loss: 0.000816 2022/09/26 12:04:56 - mmengine - INFO - Epoch(train) [10][500/586] lr: 5.000000e-04 eta: 14:04:34 time: 0.459549 data_time: 0.029464 memory: 14278 loss_kpt: 0.000829 acc_pose: 0.767757 loss: 0.000829 2022/09/26 12:05:19 - mmengine - INFO - Epoch(train) [10][550/586] lr: 5.000000e-04 eta: 14:04:33 time: 0.452614 data_time: 0.031870 memory: 14278 loss_kpt: 0.000799 acc_pose: 0.627733 loss: 0.000799 2022/09/26 12:05:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:05:35 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/09/26 12:06:07 - mmengine - INFO - Epoch(val) [10][50/407] eta: 0:02:57 time: 0.497341 data_time: 0.252305 memory: 14278 2022/09/26 12:06:25 - mmengine - INFO - Epoch(val) [10][100/407] eta: 0:01:48 time: 0.354920 data_time: 0.115605 memory: 2124 2022/09/26 12:06:42 - mmengine - INFO - Epoch(val) [10][150/407] eta: 0:01:30 time: 0.351542 data_time: 0.108375 memory: 2124 2022/09/26 12:07:00 - mmengine - INFO - Epoch(val) [10][200/407] eta: 0:01:10 time: 0.341627 data_time: 0.108027 memory: 2124 2022/09/26 12:07:16 - mmengine - INFO - Epoch(val) [10][250/407] eta: 0:00:51 time: 0.329454 data_time: 0.100787 memory: 2124 2022/09/26 12:07:34 - mmengine - INFO - Epoch(val) [10][300/407] eta: 0:00:38 time: 0.355591 data_time: 0.117021 memory: 2124 2022/09/26 12:07:51 - mmengine - INFO - Epoch(val) [10][350/407] eta: 0:00:19 time: 0.338360 data_time: 0.111721 memory: 2124 2022/09/26 12:08:04 - mmengine - INFO - Epoch(val) [10][400/407] eta: 0:00:01 time: 0.275694 data_time: 0.073140 memory: 2124 2022/09/26 12:08:38 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 12:08:51 - mmengine - INFO - Epoch(val) [10][407/407] coco/AP: 0.658352 coco/AP .5: 0.870021 coco/AP .75: 0.723687 coco/AP (M): 0.618236 coco/AP (L): 0.726642 coco/AR: 0.716814 coco/AR .5: 0.910422 coco/AR .75: 0.778810 coco/AR (M): 0.670855 coco/AR (L): 0.781605 2022/09/26 12:08:55 - mmengine - INFO - The best checkpoint with 0.6584 coco/AP at 10 epoch is saved to best_coco/AP_epoch_10.pth. 2022/09/26 12:09:18 - mmengine - INFO - Epoch(train) [11][50/586] lr: 5.000000e-04 eta: 13:58:57 time: 0.441969 data_time: 0.037513 memory: 14278 loss_kpt: 0.000802 acc_pose: 0.729034 loss: 0.000802 2022/09/26 12:09:40 - mmengine - INFO - Epoch(train) [11][100/586] lr: 5.000000e-04 eta: 13:58:47 time: 0.441466 data_time: 0.030401 memory: 14278 loss_kpt: 0.000777 acc_pose: 0.749665 loss: 0.000777 2022/09/26 12:09:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:10:02 - mmengine - INFO - Epoch(train) [11][150/586] lr: 5.000000e-04 eta: 13:58:46 time: 0.450855 data_time: 0.035481 memory: 14278 loss_kpt: 0.000767 acc_pose: 0.808309 loss: 0.000767 2022/09/26 12:10:26 - mmengine - INFO - Epoch(train) [11][200/586] lr: 5.000000e-04 eta: 13:59:02 time: 0.468523 data_time: 0.030994 memory: 14278 loss_kpt: 0.000803 acc_pose: 0.787884 loss: 0.000803 2022/09/26 12:10:48 - mmengine - INFO - Epoch(train) [11][250/586] lr: 5.000000e-04 eta: 13:58:58 time: 0.449212 data_time: 0.029587 memory: 14278 loss_kpt: 0.000802 acc_pose: 0.776008 loss: 0.000802 2022/09/26 12:11:10 - mmengine - INFO - Epoch(train) [11][300/586] lr: 5.000000e-04 eta: 13:58:52 time: 0.446193 data_time: 0.032289 memory: 14278 loss_kpt: 0.000771 acc_pose: 0.791429 loss: 0.000771 2022/09/26 12:11:33 - mmengine - INFO - Epoch(train) [11][350/586] lr: 5.000000e-04 eta: 13:58:55 time: 0.457199 data_time: 0.030704 memory: 14278 loss_kpt: 0.000790 acc_pose: 0.750270 loss: 0.000790 2022/09/26 12:11:55 - mmengine - INFO - Epoch(train) [11][400/586] lr: 5.000000e-04 eta: 13:58:41 time: 0.438377 data_time: 0.031881 memory: 14278 loss_kpt: 0.000780 acc_pose: 0.763095 loss: 0.000780 2022/09/26 12:12:18 - mmengine - INFO - Epoch(train) [11][450/586] lr: 5.000000e-04 eta: 13:58:45 time: 0.458026 data_time: 0.046512 memory: 14278 loss_kpt: 0.000778 acc_pose: 0.764413 loss: 0.000778 2022/09/26 12:12:40 - mmengine - INFO - Epoch(train) [11][500/586] lr: 5.000000e-04 eta: 13:58:34 time: 0.442761 data_time: 0.032051 memory: 14278 loss_kpt: 0.000767 acc_pose: 0.747828 loss: 0.000767 2022/09/26 12:13:02 - mmengine - INFO - Epoch(train) [11][550/586] lr: 5.000000e-04 eta: 13:58:20 time: 0.439359 data_time: 0.031764 memory: 14278 loss_kpt: 0.000798 acc_pose: 0.792490 loss: 0.000798 2022/09/26 12:13:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:13:40 - mmengine - INFO - Epoch(train) [12][50/586] lr: 5.000000e-04 eta: 13:53:21 time: 0.450515 data_time: 0.037591 memory: 14278 loss_kpt: 0.000788 acc_pose: 0.734987 loss: 0.000788 2022/09/26 12:14:02 - mmengine - INFO - Epoch(train) [12][100/586] lr: 5.000000e-04 eta: 13:53:08 time: 0.437720 data_time: 0.035755 memory: 14278 loss_kpt: 0.000775 acc_pose: 0.813663 loss: 0.000775 2022/09/26 12:14:25 - mmengine - INFO - Epoch(train) [12][150/586] lr: 5.000000e-04 eta: 13:53:11 time: 0.456903 data_time: 0.030094 memory: 14278 loss_kpt: 0.000780 acc_pose: 0.776828 loss: 0.000780 2022/09/26 12:14:47 - mmengine - INFO - Epoch(train) [12][200/586] lr: 5.000000e-04 eta: 13:52:55 time: 0.435645 data_time: 0.033166 memory: 14278 loss_kpt: 0.000768 acc_pose: 0.740370 loss: 0.000768 2022/09/26 12:15:08 - mmengine - INFO - Epoch(train) [12][250/586] lr: 5.000000e-04 eta: 13:52:34 time: 0.430233 data_time: 0.029044 memory: 14278 loss_kpt: 0.000777 acc_pose: 0.750053 loss: 0.000777 2022/09/26 12:15:30 - mmengine - INFO - Epoch(train) [12][300/586] lr: 5.000000e-04 eta: 13:52:21 time: 0.439188 data_time: 0.037479 memory: 14278 loss_kpt: 0.000760 acc_pose: 0.806303 loss: 0.000760 2022/09/26 12:15:53 - mmengine - INFO - Epoch(train) [12][350/586] lr: 5.000000e-04 eta: 13:52:14 time: 0.445432 data_time: 0.031017 memory: 14278 loss_kpt: 0.000780 acc_pose: 0.762884 loss: 0.000780 2022/09/26 12:16:16 - mmengine - INFO - Epoch(train) [12][400/586] lr: 5.000000e-04 eta: 13:52:22 time: 0.464295 data_time: 0.033268 memory: 14278 loss_kpt: 0.000776 acc_pose: 0.773492 loss: 0.000776 2022/09/26 12:16:38 - mmengine - INFO - Epoch(train) [12][450/586] lr: 5.000000e-04 eta: 13:52:08 time: 0.439348 data_time: 0.029066 memory: 14278 loss_kpt: 0.000777 acc_pose: 0.834079 loss: 0.000777 2022/09/26 12:17:00 - mmengine - INFO - Epoch(train) [12][500/586] lr: 5.000000e-04 eta: 13:52:01 time: 0.446293 data_time: 0.031387 memory: 14278 loss_kpt: 0.000778 acc_pose: 0.683389 loss: 0.000778 2022/09/26 12:17:22 - mmengine - INFO - Epoch(train) [12][550/586] lr: 5.000000e-04 eta: 13:51:47 time: 0.439806 data_time: 0.035219 memory: 14278 loss_kpt: 0.000788 acc_pose: 0.768687 loss: 0.000788 2022/09/26 12:17:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:17:38 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:18:01 - mmengine - INFO - Epoch(train) [13][50/586] lr: 5.000000e-04 eta: 13:47:16 time: 0.453752 data_time: 0.041730 memory: 14278 loss_kpt: 0.000774 acc_pose: 0.818085 loss: 0.000774 2022/09/26 12:18:23 - mmengine - INFO - Epoch(train) [13][100/586] lr: 5.000000e-04 eta: 13:47:10 time: 0.446767 data_time: 0.031557 memory: 14278 loss_kpt: 0.000764 acc_pose: 0.803932 loss: 0.000764 2022/09/26 12:18:47 - mmengine - INFO - Epoch(train) [13][150/586] lr: 5.000000e-04 eta: 13:47:28 time: 0.476715 data_time: 0.033215 memory: 14278 loss_kpt: 0.000764 acc_pose: 0.717921 loss: 0.000764 2022/09/26 12:19:09 - mmengine - INFO - Epoch(train) [13][200/586] lr: 5.000000e-04 eta: 13:47:15 time: 0.439122 data_time: 0.030676 memory: 14278 loss_kpt: 0.000770 acc_pose: 0.762359 loss: 0.000770 2022/09/26 12:19:31 - mmengine - INFO - Epoch(train) [13][250/586] lr: 5.000000e-04 eta: 13:47:04 time: 0.441130 data_time: 0.032279 memory: 14278 loss_kpt: 0.000769 acc_pose: 0.709847 loss: 0.000769 2022/09/26 12:19:53 - mmengine - INFO - Epoch(train) [13][300/586] lr: 5.000000e-04 eta: 13:46:56 time: 0.445843 data_time: 0.031744 memory: 14278 loss_kpt: 0.000778 acc_pose: 0.707154 loss: 0.000778 2022/09/26 12:20:16 - mmengine - INFO - Epoch(train) [13][350/586] lr: 5.000000e-04 eta: 13:46:57 time: 0.458008 data_time: 0.033471 memory: 14278 loss_kpt: 0.000792 acc_pose: 0.714893 loss: 0.000792 2022/09/26 12:20:38 - mmengine - INFO - Epoch(train) [13][400/586] lr: 5.000000e-04 eta: 13:46:48 time: 0.444023 data_time: 0.032683 memory: 14278 loss_kpt: 0.000776 acc_pose: 0.802577 loss: 0.000776 2022/09/26 12:21:00 - mmengine - INFO - Epoch(train) [13][450/586] lr: 5.000000e-04 eta: 13:46:32 time: 0.436555 data_time: 0.031590 memory: 14278 loss_kpt: 0.000764 acc_pose: 0.745358 loss: 0.000764 2022/09/26 12:21:22 - mmengine - INFO - Epoch(train) [13][500/586] lr: 5.000000e-04 eta: 13:46:21 time: 0.442752 data_time: 0.032438 memory: 14278 loss_kpt: 0.000765 acc_pose: 0.752776 loss: 0.000765 2022/09/26 12:21:45 - mmengine - INFO - Epoch(train) [13][550/586] lr: 5.000000e-04 eta: 13:46:16 time: 0.451229 data_time: 0.030474 memory: 14278 loss_kpt: 0.000796 acc_pose: 0.793980 loss: 0.000796 2022/09/26 12:22:01 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:22:23 - mmengine - INFO - Epoch(train) [14][50/586] lr: 5.000000e-04 eta: 13:42:04 time: 0.451939 data_time: 0.041109 memory: 14278 loss_kpt: 0.000765 acc_pose: 0.722770 loss: 0.000765 2022/09/26 12:22:45 - mmengine - INFO - Epoch(train) [14][100/586] lr: 5.000000e-04 eta: 13:41:52 time: 0.440012 data_time: 0.030570 memory: 14278 loss_kpt: 0.000778 acc_pose: 0.783720 loss: 0.000778 2022/09/26 12:23:07 - mmengine - INFO - Epoch(train) [14][150/586] lr: 5.000000e-04 eta: 13:41:38 time: 0.437111 data_time: 0.036703 memory: 14278 loss_kpt: 0.000760 acc_pose: 0.809278 loss: 0.000760 2022/09/26 12:23:29 - mmengine - INFO - Epoch(train) [14][200/586] lr: 5.000000e-04 eta: 13:41:28 time: 0.444020 data_time: 0.033049 memory: 14278 loss_kpt: 0.000745 acc_pose: 0.705108 loss: 0.000745 2022/09/26 12:23:52 - mmengine - INFO - Epoch(train) [14][250/586] lr: 5.000000e-04 eta: 13:41:21 time: 0.447377 data_time: 0.037139 memory: 14278 loss_kpt: 0.000729 acc_pose: 0.765982 loss: 0.000729 2022/09/26 12:24:14 - mmengine - INFO - Epoch(train) [14][300/586] lr: 5.000000e-04 eta: 13:41:08 time: 0.439498 data_time: 0.032166 memory: 14278 loss_kpt: 0.000760 acc_pose: 0.791118 loss: 0.000760 2022/09/26 12:24:35 - mmengine - INFO - Epoch(train) [14][350/586] lr: 5.000000e-04 eta: 13:40:51 time: 0.433282 data_time: 0.031413 memory: 14278 loss_kpt: 0.000772 acc_pose: 0.696793 loss: 0.000772 2022/09/26 12:24:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:24:58 - mmengine - INFO - Epoch(train) [14][400/586] lr: 5.000000e-04 eta: 13:40:48 time: 0.454062 data_time: 0.041198 memory: 14278 loss_kpt: 0.000759 acc_pose: 0.730071 loss: 0.000759 2022/09/26 12:25:21 - mmengine - INFO - Epoch(train) [14][450/586] lr: 5.000000e-04 eta: 13:40:47 time: 0.456306 data_time: 0.027368 memory: 14278 loss_kpt: 0.000741 acc_pose: 0.784445 loss: 0.000741 2022/09/26 12:25:43 - mmengine - INFO - Epoch(train) [14][500/586] lr: 5.000000e-04 eta: 13:40:42 time: 0.450825 data_time: 0.032407 memory: 14278 loss_kpt: 0.000772 acc_pose: 0.798556 loss: 0.000772 2022/09/26 12:26:05 - mmengine - INFO - Epoch(train) [14][550/586] lr: 5.000000e-04 eta: 13:40:27 time: 0.438125 data_time: 0.032345 memory: 14278 loss_kpt: 0.000753 acc_pose: 0.783066 loss: 0.000753 2022/09/26 12:26:21 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:26:44 - mmengine - INFO - Epoch(train) [15][50/586] lr: 5.000000e-04 eta: 13:36:32 time: 0.452187 data_time: 0.042059 memory: 14278 loss_kpt: 0.000750 acc_pose: 0.786634 loss: 0.000750 2022/09/26 12:27:06 - mmengine - INFO - Epoch(train) [15][100/586] lr: 5.000000e-04 eta: 13:36:27 time: 0.450653 data_time: 0.030411 memory: 14278 loss_kpt: 0.000734 acc_pose: 0.743975 loss: 0.000734 2022/09/26 12:27:29 - mmengine - INFO - Epoch(train) [15][150/586] lr: 5.000000e-04 eta: 13:36:29 time: 0.460688 data_time: 0.033831 memory: 14278 loss_kpt: 0.000722 acc_pose: 0.735436 loss: 0.000722 2022/09/26 12:27:51 - mmengine - INFO - Epoch(train) [15][200/586] lr: 5.000000e-04 eta: 13:36:12 time: 0.432760 data_time: 0.031224 memory: 14278 loss_kpt: 0.000787 acc_pose: 0.784702 loss: 0.000787 2022/09/26 12:28:14 - mmengine - INFO - Epoch(train) [15][250/586] lr: 5.000000e-04 eta: 13:36:09 time: 0.455286 data_time: 0.029280 memory: 14278 loss_kpt: 0.000758 acc_pose: 0.833920 loss: 0.000758 2022/09/26 12:28:36 - mmengine - INFO - Epoch(train) [15][300/586] lr: 5.000000e-04 eta: 13:35:56 time: 0.438580 data_time: 0.042825 memory: 14278 loss_kpt: 0.000784 acc_pose: 0.860120 loss: 0.000784 2022/09/26 12:28:58 - mmengine - INFO - Epoch(train) [15][350/586] lr: 5.000000e-04 eta: 13:35:43 time: 0.440907 data_time: 0.032170 memory: 14278 loss_kpt: 0.000758 acc_pose: 0.737188 loss: 0.000758 2022/09/26 12:29:20 - mmengine - INFO - Epoch(train) [15][400/586] lr: 5.000000e-04 eta: 13:35:37 time: 0.449712 data_time: 0.031116 memory: 14278 loss_kpt: 0.000755 acc_pose: 0.780955 loss: 0.000755 2022/09/26 12:29:42 - mmengine - INFO - Epoch(train) [15][450/586] lr: 5.000000e-04 eta: 13:35:23 time: 0.438791 data_time: 0.031732 memory: 14278 loss_kpt: 0.000749 acc_pose: 0.740184 loss: 0.000749 2022/09/26 12:30:05 - mmengine - INFO - Epoch(train) [15][500/586] lr: 5.000000e-04 eta: 13:35:21 time: 0.457112 data_time: 0.034714 memory: 14278 loss_kpt: 0.000761 acc_pose: 0.794599 loss: 0.000761 2022/09/26 12:30:27 - mmengine - INFO - Epoch(train) [15][550/586] lr: 5.000000e-04 eta: 13:35:07 time: 0.438945 data_time: 0.039744 memory: 14278 loss_kpt: 0.000760 acc_pose: 0.639986 loss: 0.000760 2022/09/26 12:30:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:31:06 - mmengine - INFO - Epoch(train) [16][50/586] lr: 5.000000e-04 eta: 13:31:30 time: 0.456901 data_time: 0.042718 memory: 14278 loss_kpt: 0.000769 acc_pose: 0.864221 loss: 0.000769 2022/09/26 12:31:29 - mmengine - INFO - Epoch(train) [16][100/586] lr: 5.000000e-04 eta: 13:31:27 time: 0.455661 data_time: 0.031461 memory: 14278 loss_kpt: 0.000770 acc_pose: 0.755141 loss: 0.000770 2022/09/26 12:31:51 - mmengine - INFO - Epoch(train) [16][150/586] lr: 5.000000e-04 eta: 13:31:12 time: 0.435725 data_time: 0.029672 memory: 14278 loss_kpt: 0.000753 acc_pose: 0.771017 loss: 0.000753 2022/09/26 12:32:13 - mmengine - INFO - Epoch(train) [16][200/586] lr: 5.000000e-04 eta: 13:31:01 time: 0.442919 data_time: 0.037430 memory: 14278 loss_kpt: 0.000738 acc_pose: 0.811135 loss: 0.000738 2022/09/26 12:32:17 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:32:36 - mmengine - INFO - Epoch(train) [16][250/586] lr: 5.000000e-04 eta: 13:30:54 time: 0.449594 data_time: 0.031150 memory: 14278 loss_kpt: 0.000745 acc_pose: 0.759897 loss: 0.000745 2022/09/26 12:32:58 - mmengine - INFO - Epoch(train) [16][300/586] lr: 5.000000e-04 eta: 13:30:49 time: 0.452614 data_time: 0.034750 memory: 14278 loss_kpt: 0.000753 acc_pose: 0.744584 loss: 0.000753 2022/09/26 12:33:21 - mmengine - INFO - Epoch(train) [16][350/586] lr: 5.000000e-04 eta: 13:30:46 time: 0.456242 data_time: 0.034644 memory: 14278 loss_kpt: 0.000760 acc_pose: 0.725673 loss: 0.000760 2022/09/26 12:33:43 - mmengine - INFO - Epoch(train) [16][400/586] lr: 5.000000e-04 eta: 13:30:30 time: 0.435452 data_time: 0.032486 memory: 14278 loss_kpt: 0.000740 acc_pose: 0.788262 loss: 0.000740 2022/09/26 12:34:05 - mmengine - INFO - Epoch(train) [16][450/586] lr: 5.000000e-04 eta: 13:30:18 time: 0.443393 data_time: 0.040986 memory: 14278 loss_kpt: 0.000747 acc_pose: 0.717804 loss: 0.000747 2022/09/26 12:34:27 - mmengine - INFO - Epoch(train) [16][500/586] lr: 5.000000e-04 eta: 13:30:02 time: 0.434535 data_time: 0.032896 memory: 14278 loss_kpt: 0.000759 acc_pose: 0.826397 loss: 0.000759 2022/09/26 12:34:49 - mmengine - INFO - Epoch(train) [16][550/586] lr: 5.000000e-04 eta: 13:29:56 time: 0.453450 data_time: 0.031548 memory: 14278 loss_kpt: 0.000726 acc_pose: 0.785683 loss: 0.000726 2022/09/26 12:35:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:35:28 - mmengine - INFO - Epoch(train) [17][50/586] lr: 5.000000e-04 eta: 13:26:30 time: 0.454440 data_time: 0.042966 memory: 14278 loss_kpt: 0.000741 acc_pose: 0.839451 loss: 0.000741 2022/09/26 12:35:49 - mmengine - INFO - Epoch(train) [17][100/586] lr: 5.000000e-04 eta: 13:26:15 time: 0.435349 data_time: 0.032169 memory: 14278 loss_kpt: 0.000760 acc_pose: 0.729466 loss: 0.000760 2022/09/26 12:36:12 - mmengine - INFO - Epoch(train) [17][150/586] lr: 5.000000e-04 eta: 13:26:06 time: 0.447521 data_time: 0.042552 memory: 14278 loss_kpt: 0.000744 acc_pose: 0.794590 loss: 0.000744 2022/09/26 12:36:34 - mmengine - INFO - Epoch(train) [17][200/586] lr: 5.000000e-04 eta: 13:25:54 time: 0.440598 data_time: 0.034070 memory: 14278 loss_kpt: 0.000738 acc_pose: 0.823121 loss: 0.000738 2022/09/26 12:36:56 - mmengine - INFO - Epoch(train) [17][250/586] lr: 5.000000e-04 eta: 13:25:45 time: 0.447806 data_time: 0.033035 memory: 14278 loss_kpt: 0.000740 acc_pose: 0.815947 loss: 0.000740 2022/09/26 12:37:17 - mmengine - INFO - Epoch(train) [17][300/586] lr: 5.000000e-04 eta: 13:25:22 time: 0.422914 data_time: 0.030338 memory: 14278 loss_kpt: 0.000713 acc_pose: 0.776081 loss: 0.000713 2022/09/26 12:37:40 - mmengine - INFO - Epoch(train) [17][350/586] lr: 5.000000e-04 eta: 13:25:17 time: 0.454457 data_time: 0.032275 memory: 14278 loss_kpt: 0.000749 acc_pose: 0.818700 loss: 0.000749 2022/09/26 12:38:02 - mmengine - INFO - Epoch(train) [17][400/586] lr: 5.000000e-04 eta: 13:25:07 time: 0.445380 data_time: 0.037716 memory: 14278 loss_kpt: 0.000745 acc_pose: 0.752948 loss: 0.000745 2022/09/26 12:38:25 - mmengine - INFO - Epoch(train) [17][450/586] lr: 5.000000e-04 eta: 13:25:01 time: 0.452531 data_time: 0.037050 memory: 14278 loss_kpt: 0.000755 acc_pose: 0.742381 loss: 0.000755 2022/09/26 12:38:47 - mmengine - INFO - Epoch(train) [17][500/586] lr: 5.000000e-04 eta: 13:24:48 time: 0.441510 data_time: 0.028637 memory: 14278 loss_kpt: 0.000737 acc_pose: 0.799315 loss: 0.000737 2022/09/26 12:39:09 - mmengine - INFO - Epoch(train) [17][550/586] lr: 5.000000e-04 eta: 13:24:32 time: 0.436164 data_time: 0.031174 memory: 14278 loss_kpt: 0.000729 acc_pose: 0.764921 loss: 0.000729 2022/09/26 12:39:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:39:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:39:48 - mmengine - INFO - Epoch(train) [18][50/586] lr: 5.000000e-04 eta: 13:21:27 time: 0.472072 data_time: 0.047913 memory: 14278 loss_kpt: 0.000717 acc_pose: 0.705870 loss: 0.000717 2022/09/26 12:40:10 - mmengine - INFO - Epoch(train) [18][100/586] lr: 5.000000e-04 eta: 13:21:15 time: 0.440533 data_time: 0.031314 memory: 14278 loss_kpt: 0.000721 acc_pose: 0.777965 loss: 0.000721 2022/09/26 12:40:32 - mmengine - INFO - Epoch(train) [18][150/586] lr: 5.000000e-04 eta: 13:20:59 time: 0.436342 data_time: 0.029894 memory: 14278 loss_kpt: 0.000734 acc_pose: 0.764754 loss: 0.000734 2022/09/26 12:40:54 - mmengine - INFO - Epoch(train) [18][200/586] lr: 5.000000e-04 eta: 13:20:47 time: 0.441877 data_time: 0.035372 memory: 14278 loss_kpt: 0.000744 acc_pose: 0.713744 loss: 0.000744 2022/09/26 12:41:15 - mmengine - INFO - Epoch(train) [18][250/586] lr: 5.000000e-04 eta: 13:20:29 time: 0.431626 data_time: 0.037214 memory: 14278 loss_kpt: 0.000733 acc_pose: 0.797362 loss: 0.000733 2022/09/26 12:41:40 - mmengine - INFO - Epoch(train) [18][300/586] lr: 5.000000e-04 eta: 13:20:41 time: 0.485975 data_time: 0.030370 memory: 14278 loss_kpt: 0.000744 acc_pose: 0.807352 loss: 0.000744 2022/09/26 12:42:02 - mmengine - INFO - Epoch(train) [18][350/586] lr: 5.000000e-04 eta: 13:20:33 time: 0.449132 data_time: 0.030186 memory: 14278 loss_kpt: 0.000727 acc_pose: 0.716457 loss: 0.000727 2022/09/26 12:42:24 - mmengine - INFO - Epoch(train) [18][400/586] lr: 5.000000e-04 eta: 13:20:22 time: 0.444888 data_time: 0.033230 memory: 14278 loss_kpt: 0.000721 acc_pose: 0.808653 loss: 0.000721 2022/09/26 12:42:46 - mmengine - INFO - Epoch(train) [18][450/586] lr: 5.000000e-04 eta: 13:20:07 time: 0.439214 data_time: 0.030960 memory: 14278 loss_kpt: 0.000745 acc_pose: 0.729460 loss: 0.000745 2022/09/26 12:43:09 - mmengine - INFO - Epoch(train) [18][500/586] lr: 5.000000e-04 eta: 13:20:02 time: 0.455541 data_time: 0.037770 memory: 14278 loss_kpt: 0.000742 acc_pose: 0.740687 loss: 0.000742 2022/09/26 12:43:31 - mmengine - INFO - Epoch(train) [18][550/586] lr: 5.000000e-04 eta: 13:19:47 time: 0.438131 data_time: 0.039043 memory: 14278 loss_kpt: 0.000747 acc_pose: 0.739575 loss: 0.000747 2022/09/26 12:43:47 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:44:09 - mmengine - INFO - Epoch(train) [19][50/586] lr: 5.000000e-04 eta: 13:16:39 time: 0.449199 data_time: 0.039055 memory: 14278 loss_kpt: 0.000740 acc_pose: 0.794999 loss: 0.000740 2022/09/26 12:44:31 - mmengine - INFO - Epoch(train) [19][100/586] lr: 5.000000e-04 eta: 13:16:26 time: 0.439015 data_time: 0.030769 memory: 14278 loss_kpt: 0.000747 acc_pose: 0.713323 loss: 0.000747 2022/09/26 12:44:53 - mmengine - INFO - Epoch(train) [19][150/586] lr: 5.000000e-04 eta: 13:16:11 time: 0.437307 data_time: 0.033099 memory: 14278 loss_kpt: 0.000730 acc_pose: 0.802122 loss: 0.000730 2022/09/26 12:45:16 - mmengine - INFO - Epoch(train) [19][200/586] lr: 5.000000e-04 eta: 13:16:10 time: 0.465201 data_time: 0.037906 memory: 14278 loss_kpt: 0.000728 acc_pose: 0.768782 loss: 0.000728 2022/09/26 12:45:39 - mmengine - INFO - Epoch(train) [19][250/586] lr: 5.000000e-04 eta: 13:16:07 time: 0.459984 data_time: 0.033479 memory: 14278 loss_kpt: 0.000723 acc_pose: 0.838672 loss: 0.000723 2022/09/26 12:46:02 - mmengine - INFO - Epoch(train) [19][300/586] lr: 5.000000e-04 eta: 13:15:57 time: 0.446273 data_time: 0.032737 memory: 14278 loss_kpt: 0.000719 acc_pose: 0.791345 loss: 0.000719 2022/09/26 12:46:24 - mmengine - INFO - Epoch(train) [19][350/586] lr: 5.000000e-04 eta: 13:15:43 time: 0.441467 data_time: 0.041188 memory: 14278 loss_kpt: 0.000726 acc_pose: 0.790776 loss: 0.000726 2022/09/26 12:46:46 - mmengine - INFO - Epoch(train) [19][400/586] lr: 5.000000e-04 eta: 13:15:27 time: 0.436091 data_time: 0.032399 memory: 14278 loss_kpt: 0.000719 acc_pose: 0.811794 loss: 0.000719 2022/09/26 12:47:08 - mmengine - INFO - Epoch(train) [19][450/586] lr: 5.000000e-04 eta: 13:15:20 time: 0.451832 data_time: 0.037600 memory: 14278 loss_kpt: 0.000722 acc_pose: 0.808827 loss: 0.000722 2022/09/26 12:47:09 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:47:30 - mmengine - INFO - Epoch(train) [19][500/586] lr: 5.000000e-04 eta: 13:15:04 time: 0.437425 data_time: 0.035387 memory: 14278 loss_kpt: 0.000703 acc_pose: 0.842954 loss: 0.000703 2022/09/26 12:47:52 - mmengine - INFO - Epoch(train) [19][550/586] lr: 5.000000e-04 eta: 13:14:53 time: 0.446195 data_time: 0.030284 memory: 14278 loss_kpt: 0.000736 acc_pose: 0.836272 loss: 0.000736 2022/09/26 12:48:08 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:48:32 - mmengine - INFO - Epoch(train) [20][50/586] lr: 5.000000e-04 eta: 13:12:06 time: 0.472760 data_time: 0.050784 memory: 14278 loss_kpt: 0.000717 acc_pose: 0.711357 loss: 0.000717 2022/09/26 12:48:54 - mmengine - INFO - Epoch(train) [20][100/586] lr: 5.000000e-04 eta: 13:11:55 time: 0.444563 data_time: 0.035646 memory: 14278 loss_kpt: 0.000731 acc_pose: 0.852868 loss: 0.000731 2022/09/26 12:49:16 - mmengine - INFO - Epoch(train) [20][150/586] lr: 5.000000e-04 eta: 13:11:41 time: 0.440344 data_time: 0.030809 memory: 14278 loss_kpt: 0.000718 acc_pose: 0.800828 loss: 0.000718 2022/09/26 12:49:38 - mmengine - INFO - Epoch(train) [20][200/586] lr: 5.000000e-04 eta: 13:11:29 time: 0.443837 data_time: 0.030720 memory: 14278 loss_kpt: 0.000710 acc_pose: 0.790377 loss: 0.000710 2022/09/26 12:50:01 - mmengine - INFO - Epoch(train) [20][250/586] lr: 5.000000e-04 eta: 13:11:20 time: 0.449730 data_time: 0.029398 memory: 14278 loss_kpt: 0.000721 acc_pose: 0.840268 loss: 0.000721 2022/09/26 12:50:23 - mmengine - INFO - Epoch(train) [20][300/586] lr: 5.000000e-04 eta: 13:11:16 time: 0.458941 data_time: 0.032233 memory: 14278 loss_kpt: 0.000720 acc_pose: 0.760237 loss: 0.000720 2022/09/26 12:50:45 - mmengine - INFO - Epoch(train) [20][350/586] lr: 5.000000e-04 eta: 13:11:01 time: 0.438552 data_time: 0.037857 memory: 14278 loss_kpt: 0.000742 acc_pose: 0.830492 loss: 0.000742 2022/09/26 12:51:09 - mmengine - INFO - Epoch(train) [20][400/586] lr: 5.000000e-04 eta: 13:11:03 time: 0.475060 data_time: 0.034214 memory: 14278 loss_kpt: 0.000727 acc_pose: 0.838366 loss: 0.000727 2022/09/26 12:51:32 - mmengine - INFO - Epoch(train) [20][450/586] lr: 5.000000e-04 eta: 13:10:58 time: 0.459278 data_time: 0.031674 memory: 14278 loss_kpt: 0.000726 acc_pose: 0.821359 loss: 0.000726 2022/09/26 12:51:54 - mmengine - INFO - Epoch(train) [20][500/586] lr: 5.000000e-04 eta: 13:10:47 time: 0.446042 data_time: 0.036804 memory: 14278 loss_kpt: 0.000716 acc_pose: 0.763991 loss: 0.000716 2022/09/26 12:52:18 - mmengine - INFO - Epoch(train) [20][550/586] lr: 5.000000e-04 eta: 13:10:49 time: 0.474559 data_time: 0.034626 memory: 14278 loss_kpt: 0.000718 acc_pose: 0.835121 loss: 0.000718 2022/09/26 12:52:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:52:34 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/09/26 12:53:04 - mmengine - INFO - Epoch(val) [20][50/407] eta: 0:02:15 time: 0.378731 data_time: 0.129796 memory: 14278 2022/09/26 12:53:21 - mmengine - INFO - Epoch(val) [20][100/407] eta: 0:01:43 time: 0.337564 data_time: 0.095763 memory: 2124 2022/09/26 12:53:39 - mmengine - INFO - Epoch(val) [20][150/407] eta: 0:01:31 time: 0.355184 data_time: 0.109848 memory: 2124 2022/09/26 12:53:56 - mmengine - INFO - Epoch(val) [20][200/407] eta: 0:01:10 time: 0.338660 data_time: 0.094957 memory: 2124 2022/09/26 12:54:12 - mmengine - INFO - Epoch(val) [20][250/407] eta: 0:00:51 time: 0.325427 data_time: 0.080691 memory: 2124 2022/09/26 12:54:29 - mmengine - INFO - Epoch(val) [20][300/407] eta: 0:00:36 time: 0.337592 data_time: 0.098552 memory: 2124 2022/09/26 12:54:45 - mmengine - INFO - Epoch(val) [20][350/407] eta: 0:00:18 time: 0.320694 data_time: 0.094951 memory: 2124 2022/09/26 12:54:55 - mmengine - INFO - Epoch(val) [20][400/407] eta: 0:00:01 time: 0.209001 data_time: 0.049866 memory: 2124 2022/09/26 12:55:29 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 12:55:43 - mmengine - INFO - Epoch(val) [20][407/407] coco/AP: 0.693227 coco/AP .5: 0.882884 coco/AP .75: 0.765925 coco/AP (M): 0.651815 coco/AP (L): 0.764441 coco/AR: 0.749906 coco/AR .5: 0.921285 coco/AR .75: 0.817380 coco/AR (M): 0.702458 coco/AR (L): 0.817428 2022/09/26 12:55:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_10.pth is removed 2022/09/26 12:55:48 - mmengine - INFO - The best checkpoint with 0.6932 coco/AP at 20 epoch is saved to best_coco/AP_epoch_20.pth. 2022/09/26 12:56:11 - mmengine - INFO - Epoch(train) [21][50/586] lr: 5.000000e-04 eta: 13:08:07 time: 0.468187 data_time: 0.036532 memory: 14278 loss_kpt: 0.000731 acc_pose: 0.780376 loss: 0.000731 2022/09/26 12:56:34 - mmengine - INFO - Epoch(train) [21][100/586] lr: 5.000000e-04 eta: 13:08:04 time: 0.462905 data_time: 0.030582 memory: 14278 loss_kpt: 0.000704 acc_pose: 0.750069 loss: 0.000704 2022/09/26 12:56:56 - mmengine - INFO - Epoch(train) [21][150/586] lr: 5.000000e-04 eta: 13:07:47 time: 0.435096 data_time: 0.034035 memory: 14278 loss_kpt: 0.000728 acc_pose: 0.810271 loss: 0.000728 2022/09/26 12:57:19 - mmengine - INFO - Epoch(train) [21][200/586] lr: 5.000000e-04 eta: 13:07:37 time: 0.448105 data_time: 0.031821 memory: 14278 loss_kpt: 0.000733 acc_pose: 0.804690 loss: 0.000733 2022/09/26 12:57:40 - mmengine - INFO - Epoch(train) [21][250/586] lr: 5.000000e-04 eta: 13:07:19 time: 0.433306 data_time: 0.030072 memory: 14278 loss_kpt: 0.000727 acc_pose: 0.817105 loss: 0.000727 2022/09/26 12:57:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 12:58:02 - mmengine - INFO - Epoch(train) [21][300/586] lr: 5.000000e-04 eta: 13:07:05 time: 0.441340 data_time: 0.029965 memory: 14278 loss_kpt: 0.000712 acc_pose: 0.750539 loss: 0.000712 2022/09/26 12:58:26 - mmengine - INFO - Epoch(train) [21][350/586] lr: 5.000000e-04 eta: 13:07:04 time: 0.469348 data_time: 0.031511 memory: 14278 loss_kpt: 0.000729 acc_pose: 0.811038 loss: 0.000729 2022/09/26 12:58:50 - mmengine - INFO - Epoch(train) [21][400/586] lr: 5.000000e-04 eta: 13:07:06 time: 0.475934 data_time: 0.032102 memory: 14278 loss_kpt: 0.000683 acc_pose: 0.781805 loss: 0.000683 2022/09/26 12:59:12 - mmengine - INFO - Epoch(train) [21][450/586] lr: 5.000000e-04 eta: 13:06:57 time: 0.452034 data_time: 0.039816 memory: 14278 loss_kpt: 0.000694 acc_pose: 0.810436 loss: 0.000694 2022/09/26 12:59:35 - mmengine - INFO - Epoch(train) [21][500/586] lr: 5.000000e-04 eta: 13:06:48 time: 0.453653 data_time: 0.032051 memory: 14278 loss_kpt: 0.000695 acc_pose: 0.786646 loss: 0.000695 2022/09/26 12:59:57 - mmengine - INFO - Epoch(train) [21][550/586] lr: 5.000000e-04 eta: 13:06:33 time: 0.440472 data_time: 0.029787 memory: 14278 loss_kpt: 0.000686 acc_pose: 0.763415 loss: 0.000686 2022/09/26 13:00:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:00:36 - mmengine - INFO - Epoch(train) [22][50/586] lr: 5.000000e-04 eta: 13:03:49 time: 0.447553 data_time: 0.037149 memory: 14278 loss_kpt: 0.000703 acc_pose: 0.863343 loss: 0.000703 2022/09/26 13:00:57 - mmengine - INFO - Epoch(train) [22][100/586] lr: 5.000000e-04 eta: 13:03:32 time: 0.435008 data_time: 0.034952 memory: 14278 loss_kpt: 0.000716 acc_pose: 0.842358 loss: 0.000716 2022/09/26 13:01:20 - mmengine - INFO - Epoch(train) [22][150/586] lr: 5.000000e-04 eta: 13:03:25 time: 0.455508 data_time: 0.029428 memory: 14278 loss_kpt: 0.000706 acc_pose: 0.722019 loss: 0.000706 2022/09/26 13:01:42 - mmengine - INFO - Epoch(train) [22][200/586] lr: 5.000000e-04 eta: 13:03:10 time: 0.439869 data_time: 0.034998 memory: 14278 loss_kpt: 0.000721 acc_pose: 0.795990 loss: 0.000721 2022/09/26 13:03:35 - mmengine - INFO - Epoch(train) [22][250/586] lr: 5.000000e-04 eta: 13:16:14 time: 2.255707 data_time: 0.033985 memory: 14278 loss_kpt: 0.000709 acc_pose: 0.754886 loss: 0.000709 2022/09/26 13:03:57 - mmengine - INFO - Epoch(train) [22][300/586] lr: 5.000000e-04 eta: 13:15:59 time: 0.445593 data_time: 0.036796 memory: 14278 loss_kpt: 0.000722 acc_pose: 0.779437 loss: 0.000722 2022/09/26 13:04:19 - mmengine - INFO - Epoch(train) [22][350/586] lr: 5.000000e-04 eta: 13:15:41 time: 0.442786 data_time: 0.032158 memory: 14278 loss_kpt: 0.000710 acc_pose: 0.815039 loss: 0.000710 2022/09/26 13:04:41 - mmengine - INFO - Epoch(train) [22][400/586] lr: 5.000000e-04 eta: 13:15:22 time: 0.436615 data_time: 0.033202 memory: 14278 loss_kpt: 0.000730 acc_pose: 0.785860 loss: 0.000730 2022/09/26 13:05:03 - mmengine - INFO - Epoch(train) [22][450/586] lr: 5.000000e-04 eta: 13:15:05 time: 0.443424 data_time: 0.030833 memory: 14278 loss_kpt: 0.000733 acc_pose: 0.817236 loss: 0.000733 2022/09/26 13:05:26 - mmengine - INFO - Epoch(train) [22][500/586] lr: 5.000000e-04 eta: 13:14:55 time: 0.460138 data_time: 0.032143 memory: 14278 loss_kpt: 0.000732 acc_pose: 0.817033 loss: 0.000732 2022/09/26 13:05:48 - mmengine - INFO - Epoch(train) [22][550/586] lr: 5.000000e-04 eta: 13:14:35 time: 0.437311 data_time: 0.033223 memory: 14278 loss_kpt: 0.000698 acc_pose: 0.804629 loss: 0.000698 2022/09/26 13:06:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:06:27 - mmengine - INFO - Epoch(train) [23][50/586] lr: 5.000000e-04 eta: 13:11:54 time: 0.451808 data_time: 0.039327 memory: 14278 loss_kpt: 0.000703 acc_pose: 0.755744 loss: 0.000703 2022/09/26 13:06:49 - mmengine - INFO - Epoch(train) [23][100/586] lr: 5.000000e-04 eta: 13:11:34 time: 0.436582 data_time: 0.031247 memory: 14278 loss_kpt: 0.000720 acc_pose: 0.751361 loss: 0.000720 2022/09/26 13:06:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:07:12 - mmengine - INFO - Epoch(train) [23][150/586] lr: 5.000000e-04 eta: 13:11:24 time: 0.457747 data_time: 0.035063 memory: 14278 loss_kpt: 0.000698 acc_pose: 0.809529 loss: 0.000698 2022/09/26 13:07:35 - mmengine - INFO - Epoch(train) [23][200/586] lr: 5.000000e-04 eta: 13:11:14 time: 0.459858 data_time: 0.032050 memory: 14278 loss_kpt: 0.000695 acc_pose: 0.761489 loss: 0.000695 2022/09/26 13:07:57 - mmengine - INFO - Epoch(train) [23][250/586] lr: 5.000000e-04 eta: 13:11:01 time: 0.452736 data_time: 0.053941 memory: 14278 loss_kpt: 0.000716 acc_pose: 0.749569 loss: 0.000716 2022/09/26 13:08:20 - mmengine - INFO - Epoch(train) [23][300/586] lr: 5.000000e-04 eta: 13:10:47 time: 0.449802 data_time: 0.037490 memory: 14278 loss_kpt: 0.000712 acc_pose: 0.748434 loss: 0.000712 2022/09/26 13:08:42 - mmengine - INFO - Epoch(train) [23][350/586] lr: 5.000000e-04 eta: 13:10:29 time: 0.439072 data_time: 0.031759 memory: 14278 loss_kpt: 0.000715 acc_pose: 0.777725 loss: 0.000715 2022/09/26 13:09:04 - mmengine - INFO - Epoch(train) [23][400/586] lr: 5.000000e-04 eta: 13:10:11 time: 0.442037 data_time: 0.031116 memory: 14278 loss_kpt: 0.000694 acc_pose: 0.809846 loss: 0.000694 2022/09/26 13:09:26 - mmengine - INFO - Epoch(train) [23][450/586] lr: 5.000000e-04 eta: 13:09:53 time: 0.440504 data_time: 0.030428 memory: 14278 loss_kpt: 0.000724 acc_pose: 0.847299 loss: 0.000724 2022/09/26 13:09:48 - mmengine - INFO - Epoch(train) [23][500/586] lr: 5.000000e-04 eta: 13:09:40 time: 0.452731 data_time: 0.041534 memory: 14278 loss_kpt: 0.000708 acc_pose: 0.835051 loss: 0.000708 2022/09/26 13:10:10 - mmengine - INFO - Epoch(train) [23][550/586] lr: 5.000000e-04 eta: 13:09:19 time: 0.434179 data_time: 0.034762 memory: 14278 loss_kpt: 0.000714 acc_pose: 0.733455 loss: 0.000714 2022/09/26 13:10:26 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:10:49 - mmengine - INFO - Epoch(train) [24][50/586] lr: 5.000000e-04 eta: 13:06:49 time: 0.462445 data_time: 0.042230 memory: 14278 loss_kpt: 0.000694 acc_pose: 0.780740 loss: 0.000694 2022/09/26 13:11:11 - mmengine - INFO - Epoch(train) [24][100/586] lr: 5.000000e-04 eta: 13:06:32 time: 0.443298 data_time: 0.031506 memory: 14278 loss_kpt: 0.000692 acc_pose: 0.849053 loss: 0.000692 2022/09/26 13:11:33 - mmengine - INFO - Epoch(train) [24][150/586] lr: 5.000000e-04 eta: 13:06:15 time: 0.443261 data_time: 0.038307 memory: 14278 loss_kpt: 0.000694 acc_pose: 0.767751 loss: 0.000694 2022/09/26 13:11:55 - mmengine - INFO - Epoch(train) [24][200/586] lr: 5.000000e-04 eta: 13:05:57 time: 0.438627 data_time: 0.034482 memory: 14278 loss_kpt: 0.000699 acc_pose: 0.840892 loss: 0.000699 2022/09/26 13:12:17 - mmengine - INFO - Epoch(train) [24][250/586] lr: 5.000000e-04 eta: 13:05:38 time: 0.437925 data_time: 0.037259 memory: 14278 loss_kpt: 0.000702 acc_pose: 0.777575 loss: 0.000702 2022/09/26 13:12:40 - mmengine - INFO - Epoch(train) [24][300/586] lr: 5.000000e-04 eta: 13:05:24 time: 0.450919 data_time: 0.034253 memory: 14278 loss_kpt: 0.000712 acc_pose: 0.789727 loss: 0.000712 2022/09/26 13:13:02 - mmengine - INFO - Epoch(train) [24][350/586] lr: 5.000000e-04 eta: 13:05:08 time: 0.445427 data_time: 0.033404 memory: 14278 loss_kpt: 0.000733 acc_pose: 0.778961 loss: 0.000733 2022/09/26 13:13:25 - mmengine - INFO - Epoch(train) [24][400/586] lr: 5.000000e-04 eta: 13:04:58 time: 0.459147 data_time: 0.038437 memory: 14278 loss_kpt: 0.000699 acc_pose: 0.825120 loss: 0.000699 2022/09/26 13:13:47 - mmengine - INFO - Epoch(train) [24][450/586] lr: 5.000000e-04 eta: 13:04:43 time: 0.449601 data_time: 0.034999 memory: 14278 loss_kpt: 0.000692 acc_pose: 0.816931 loss: 0.000692 2022/09/26 13:14:10 - mmengine - INFO - Epoch(train) [24][500/586] lr: 5.000000e-04 eta: 13:04:33 time: 0.459371 data_time: 0.032231 memory: 14278 loss_kpt: 0.000716 acc_pose: 0.764912 loss: 0.000716 2022/09/26 13:14:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:14:33 - mmengine - INFO - Epoch(train) [24][550/586] lr: 5.000000e-04 eta: 13:04:22 time: 0.460194 data_time: 0.030794 memory: 14278 loss_kpt: 0.000723 acc_pose: 0.847473 loss: 0.000723 2022/09/26 13:14:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:15:13 - mmengine - INFO - Epoch(train) [25][50/586] lr: 5.000000e-04 eta: 13:01:58 time: 0.465119 data_time: 0.048632 memory: 14278 loss_kpt: 0.000711 acc_pose: 0.821378 loss: 0.000711 2022/09/26 13:15:35 - mmengine - INFO - Epoch(train) [25][100/586] lr: 5.000000e-04 eta: 13:01:38 time: 0.434435 data_time: 0.030756 memory: 14278 loss_kpt: 0.000696 acc_pose: 0.838696 loss: 0.000696 2022/09/26 13:15:57 - mmengine - INFO - Epoch(train) [25][150/586] lr: 5.000000e-04 eta: 13:01:19 time: 0.437475 data_time: 0.034471 memory: 14278 loss_kpt: 0.000708 acc_pose: 0.777476 loss: 0.000708 2022/09/26 13:16:20 - mmengine - INFO - Epoch(train) [25][200/586] lr: 5.000000e-04 eta: 13:01:08 time: 0.456982 data_time: 0.032129 memory: 14278 loss_kpt: 0.000707 acc_pose: 0.761849 loss: 0.000707 2022/09/26 13:16:43 - mmengine - INFO - Epoch(train) [25][250/586] lr: 5.000000e-04 eta: 13:01:00 time: 0.467606 data_time: 0.039004 memory: 14278 loss_kpt: 0.000703 acc_pose: 0.796471 loss: 0.000703 2022/09/26 13:17:06 - mmengine - INFO - Epoch(train) [25][300/586] lr: 5.000000e-04 eta: 13:00:45 time: 0.448720 data_time: 0.035949 memory: 14278 loss_kpt: 0.000719 acc_pose: 0.835075 loss: 0.000719 2022/09/26 13:17:29 - mmengine - INFO - Epoch(train) [25][350/586] lr: 5.000000e-04 eta: 13:00:36 time: 0.462707 data_time: 0.032699 memory: 14278 loss_kpt: 0.000693 acc_pose: 0.797530 loss: 0.000693 2022/09/26 13:17:50 - mmengine - INFO - Epoch(train) [25][400/586] lr: 5.000000e-04 eta: 13:00:15 time: 0.433541 data_time: 0.029914 memory: 14278 loss_kpt: 0.000683 acc_pose: 0.814454 loss: 0.000683 2022/09/26 13:18:14 - mmengine - INFO - Epoch(train) [25][450/586] lr: 5.000000e-04 eta: 13:00:09 time: 0.472225 data_time: 0.031764 memory: 14278 loss_kpt: 0.000680 acc_pose: 0.746437 loss: 0.000680 2022/09/26 13:18:36 - mmengine - INFO - Epoch(train) [25][500/586] lr: 5.000000e-04 eta: 12:59:50 time: 0.439180 data_time: 0.034671 memory: 14278 loss_kpt: 0.000713 acc_pose: 0.802644 loss: 0.000713 2022/09/26 13:18:58 - mmengine - INFO - Epoch(train) [25][550/586] lr: 5.000000e-04 eta: 12:59:35 time: 0.448550 data_time: 0.034089 memory: 14278 loss_kpt: 0.000680 acc_pose: 0.794792 loss: 0.000680 2022/09/26 13:19:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:19:37 - mmengine - INFO - Epoch(train) [26][50/586] lr: 5.000000e-04 eta: 12:57:09 time: 0.446651 data_time: 0.039680 memory: 14278 loss_kpt: 0.000696 acc_pose: 0.833068 loss: 0.000696 2022/09/26 13:19:59 - mmengine - INFO - Epoch(train) [26][100/586] lr: 5.000000e-04 eta: 12:56:54 time: 0.448180 data_time: 0.027999 memory: 14278 loss_kpt: 0.000700 acc_pose: 0.746816 loss: 0.000700 2022/09/26 13:20:23 - mmengine - INFO - Epoch(train) [26][150/586] lr: 5.000000e-04 eta: 12:56:44 time: 0.461916 data_time: 0.035200 memory: 14278 loss_kpt: 0.000709 acc_pose: 0.760917 loss: 0.000709 2022/09/26 13:20:44 - mmengine - INFO - Epoch(train) [26][200/586] lr: 5.000000e-04 eta: 12:56:24 time: 0.434027 data_time: 0.028909 memory: 14278 loss_kpt: 0.000703 acc_pose: 0.713021 loss: 0.000703 2022/09/26 13:21:06 - mmengine - INFO - Epoch(train) [26][250/586] lr: 5.000000e-04 eta: 12:56:05 time: 0.438861 data_time: 0.032201 memory: 14278 loss_kpt: 0.000707 acc_pose: 0.752903 loss: 0.000707 2022/09/26 13:21:28 - mmengine - INFO - Epoch(train) [26][300/586] lr: 5.000000e-04 eta: 12:55:48 time: 0.441292 data_time: 0.034674 memory: 14278 loss_kpt: 0.000724 acc_pose: 0.779638 loss: 0.000724 2022/09/26 13:21:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:21:50 - mmengine - INFO - Epoch(train) [26][350/586] lr: 5.000000e-04 eta: 12:55:30 time: 0.440649 data_time: 0.031278 memory: 14278 loss_kpt: 0.000700 acc_pose: 0.821624 loss: 0.000700 2022/09/26 13:22:13 - mmengine - INFO - Epoch(train) [26][400/586] lr: 5.000000e-04 eta: 12:55:17 time: 0.454392 data_time: 0.031602 memory: 14278 loss_kpt: 0.000683 acc_pose: 0.809842 loss: 0.000683 2022/09/26 13:22:36 - mmengine - INFO - Epoch(train) [26][450/586] lr: 5.000000e-04 eta: 12:55:05 time: 0.456183 data_time: 0.033443 memory: 14278 loss_kpt: 0.000708 acc_pose: 0.844760 loss: 0.000708 2022/09/26 13:22:59 - mmengine - INFO - Epoch(train) [26][500/586] lr: 5.000000e-04 eta: 12:54:54 time: 0.461402 data_time: 0.029903 memory: 14278 loss_kpt: 0.000702 acc_pose: 0.767874 loss: 0.000702 2022/09/26 13:23:21 - mmengine - INFO - Epoch(train) [26][550/586] lr: 5.000000e-04 eta: 12:54:37 time: 0.444046 data_time: 0.030731 memory: 14278 loss_kpt: 0.000694 acc_pose: 0.816298 loss: 0.000694 2022/09/26 13:23:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:24:00 - mmengine - INFO - Epoch(train) [27][50/586] lr: 5.000000e-04 eta: 12:52:23 time: 0.465958 data_time: 0.041676 memory: 14278 loss_kpt: 0.000688 acc_pose: 0.789779 loss: 0.000688 2022/09/26 13:24:23 - mmengine - INFO - Epoch(train) [27][100/586] lr: 5.000000e-04 eta: 12:52:08 time: 0.448671 data_time: 0.030810 memory: 14278 loss_kpt: 0.000691 acc_pose: 0.826407 loss: 0.000691 2022/09/26 13:24:45 - mmengine - INFO - Epoch(train) [27][150/586] lr: 5.000000e-04 eta: 12:51:50 time: 0.440355 data_time: 0.039480 memory: 14278 loss_kpt: 0.000706 acc_pose: 0.780620 loss: 0.000706 2022/09/26 13:25:07 - mmengine - INFO - Epoch(train) [27][200/586] lr: 5.000000e-04 eta: 12:51:31 time: 0.437131 data_time: 0.029629 memory: 14278 loss_kpt: 0.000689 acc_pose: 0.831330 loss: 0.000689 2022/09/26 13:25:30 - mmengine - INFO - Epoch(train) [27][250/586] lr: 5.000000e-04 eta: 12:51:20 time: 0.461111 data_time: 0.033260 memory: 14278 loss_kpt: 0.000689 acc_pose: 0.764423 loss: 0.000689 2022/09/26 13:25:51 - mmengine - INFO - Epoch(train) [27][300/586] lr: 5.000000e-04 eta: 12:51:01 time: 0.436307 data_time: 0.030947 memory: 14278 loss_kpt: 0.000674 acc_pose: 0.820821 loss: 0.000674 2022/09/26 13:26:14 - mmengine - INFO - Epoch(train) [27][350/586] lr: 5.000000e-04 eta: 12:50:50 time: 0.459666 data_time: 0.030892 memory: 14278 loss_kpt: 0.000705 acc_pose: 0.740935 loss: 0.000705 2022/09/26 13:26:37 - mmengine - INFO - Epoch(train) [27][400/586] lr: 5.000000e-04 eta: 12:50:35 time: 0.450713 data_time: 0.041125 memory: 14278 loss_kpt: 0.000692 acc_pose: 0.777514 loss: 0.000692 2022/09/26 13:26:59 - mmengine - INFO - Epoch(train) [27][450/586] lr: 5.000000e-04 eta: 12:50:16 time: 0.438676 data_time: 0.032435 memory: 14278 loss_kpt: 0.000685 acc_pose: 0.780204 loss: 0.000685 2022/09/26 13:27:21 - mmengine - INFO - Epoch(train) [27][500/586] lr: 5.000000e-04 eta: 12:50:02 time: 0.451021 data_time: 0.030613 memory: 14278 loss_kpt: 0.000694 acc_pose: 0.771579 loss: 0.000694 2022/09/26 13:27:44 - mmengine - INFO - Epoch(train) [27][550/586] lr: 5.000000e-04 eta: 12:49:49 time: 0.454659 data_time: 0.029127 memory: 14278 loss_kpt: 0.000678 acc_pose: 0.794386 loss: 0.000678 2022/09/26 13:28:00 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:28:23 - mmengine - INFO - Epoch(train) [28][50/586] lr: 5.000000e-04 eta: 12:47:37 time: 0.462083 data_time: 0.039129 memory: 14278 loss_kpt: 0.000680 acc_pose: 0.772010 loss: 0.000680 2022/09/26 13:28:45 - mmengine - INFO - Epoch(train) [28][100/586] lr: 5.000000e-04 eta: 12:47:17 time: 0.433839 data_time: 0.033761 memory: 14278 loss_kpt: 0.000717 acc_pose: 0.769445 loss: 0.000717 2022/09/26 13:29:06 - mmengine - INFO - Epoch(train) [28][150/586] lr: 5.000000e-04 eta: 12:46:58 time: 0.436726 data_time: 0.031167 memory: 14278 loss_kpt: 0.000693 acc_pose: 0.813915 loss: 0.000693 2022/09/26 13:29:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:29:30 - mmengine - INFO - Epoch(train) [28][200/586] lr: 5.000000e-04 eta: 12:46:51 time: 0.472706 data_time: 0.029483 memory: 14278 loss_kpt: 0.000700 acc_pose: 0.798360 loss: 0.000700 2022/09/26 13:29:52 - mmengine - INFO - Epoch(train) [28][250/586] lr: 5.000000e-04 eta: 12:46:32 time: 0.435750 data_time: 0.032607 memory: 14278 loss_kpt: 0.000723 acc_pose: 0.797082 loss: 0.000723 2022/09/26 13:30:15 - mmengine - INFO - Epoch(train) [28][300/586] lr: 5.000000e-04 eta: 12:46:21 time: 0.463371 data_time: 0.036544 memory: 14278 loss_kpt: 0.000692 acc_pose: 0.747912 loss: 0.000692 2022/09/26 13:30:38 - mmengine - INFO - Epoch(train) [28][350/586] lr: 5.000000e-04 eta: 12:46:07 time: 0.453226 data_time: 0.031977 memory: 14278 loss_kpt: 0.000685 acc_pose: 0.696087 loss: 0.000685 2022/09/26 13:31:00 - mmengine - INFO - Epoch(train) [28][400/586] lr: 5.000000e-04 eta: 12:45:49 time: 0.440205 data_time: 0.030769 memory: 14278 loss_kpt: 0.000685 acc_pose: 0.720974 loss: 0.000685 2022/09/26 13:31:23 - mmengine - INFO - Epoch(train) [28][450/586] lr: 5.000000e-04 eta: 12:45:42 time: 0.474253 data_time: 0.031968 memory: 14278 loss_kpt: 0.000679 acc_pose: 0.825535 loss: 0.000679 2022/09/26 13:31:47 - mmengine - INFO - Epoch(train) [28][500/586] lr: 5.000000e-04 eta: 12:45:31 time: 0.461963 data_time: 0.036576 memory: 14278 loss_kpt: 0.000688 acc_pose: 0.770647 loss: 0.000688 2022/09/26 13:32:08 - mmengine - INFO - Epoch(train) [28][550/586] lr: 5.000000e-04 eta: 12:45:11 time: 0.435921 data_time: 0.035298 memory: 14278 loss_kpt: 0.000712 acc_pose: 0.803803 loss: 0.000712 2022/09/26 13:32:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:32:48 - mmengine - INFO - Epoch(train) [29][50/586] lr: 5.000000e-04 eta: 12:43:08 time: 0.473588 data_time: 0.045467 memory: 14278 loss_kpt: 0.000677 acc_pose: 0.704179 loss: 0.000677 2022/09/26 13:33:10 - mmengine - INFO - Epoch(train) [29][100/586] lr: 5.000000e-04 eta: 12:42:52 time: 0.446054 data_time: 0.030849 memory: 14278 loss_kpt: 0.000659 acc_pose: 0.819778 loss: 0.000659 2022/09/26 13:33:33 - mmengine - INFO - Epoch(train) [29][150/586] lr: 5.000000e-04 eta: 12:42:40 time: 0.458576 data_time: 0.037384 memory: 14278 loss_kpt: 0.000695 acc_pose: 0.774396 loss: 0.000695 2022/09/26 13:33:55 - mmengine - INFO - Epoch(train) [29][200/586] lr: 5.000000e-04 eta: 12:42:23 time: 0.443319 data_time: 0.031131 memory: 14278 loss_kpt: 0.000708 acc_pose: 0.755855 loss: 0.000708 2022/09/26 13:34:17 - mmengine - INFO - Epoch(train) [29][250/586] lr: 5.000000e-04 eta: 12:42:03 time: 0.435087 data_time: 0.030989 memory: 14278 loss_kpt: 0.000694 acc_pose: 0.835670 loss: 0.000694 2022/09/26 13:34:39 - mmengine - INFO - Epoch(train) [29][300/586] lr: 5.000000e-04 eta: 12:41:42 time: 0.431463 data_time: 0.031631 memory: 14278 loss_kpt: 0.000682 acc_pose: 0.835904 loss: 0.000682 2022/09/26 13:35:01 - mmengine - INFO - Epoch(train) [29][350/586] lr: 5.000000e-04 eta: 12:41:26 time: 0.448327 data_time: 0.029603 memory: 14278 loss_kpt: 0.000688 acc_pose: 0.805245 loss: 0.000688 2022/09/26 13:35:23 - mmengine - INFO - Epoch(train) [29][400/586] lr: 5.000000e-04 eta: 12:41:10 time: 0.445374 data_time: 0.029976 memory: 14278 loss_kpt: 0.000697 acc_pose: 0.792512 loss: 0.000697 2022/09/26 13:35:46 - mmengine - INFO - Epoch(train) [29][450/586] lr: 5.000000e-04 eta: 12:40:54 time: 0.447148 data_time: 0.033426 memory: 14278 loss_kpt: 0.000673 acc_pose: 0.852626 loss: 0.000673 2022/09/26 13:36:08 - mmengine - INFO - Epoch(train) [29][500/586] lr: 5.000000e-04 eta: 12:40:36 time: 0.442963 data_time: 0.030567 memory: 14278 loss_kpt: 0.000661 acc_pose: 0.815606 loss: 0.000661 2022/09/26 13:36:30 - mmengine - INFO - Epoch(train) [29][550/586] lr: 5.000000e-04 eta: 12:40:18 time: 0.441389 data_time: 0.033821 memory: 14278 loss_kpt: 0.000672 acc_pose: 0.810354 loss: 0.000672 2022/09/26 13:36:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:36:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:37:09 - mmengine - INFO - Epoch(train) [30][50/586] lr: 5.000000e-04 eta: 12:38:17 time: 0.469496 data_time: 0.039582 memory: 14278 loss_kpt: 0.000674 acc_pose: 0.803311 loss: 0.000674 2022/09/26 13:37:32 - mmengine - INFO - Epoch(train) [30][100/586] lr: 5.000000e-04 eta: 12:38:07 time: 0.465290 data_time: 0.031829 memory: 14278 loss_kpt: 0.000682 acc_pose: 0.800593 loss: 0.000682 2022/09/26 13:37:55 - mmengine - INFO - Epoch(train) [30][150/586] lr: 5.000000e-04 eta: 12:37:55 time: 0.458795 data_time: 0.031582 memory: 14278 loss_kpt: 0.000670 acc_pose: 0.769644 loss: 0.000670 2022/09/26 13:38:17 - mmengine - INFO - Epoch(train) [30][200/586] lr: 5.000000e-04 eta: 12:37:37 time: 0.440452 data_time: 0.038201 memory: 14278 loss_kpt: 0.000697 acc_pose: 0.851053 loss: 0.000697 2022/09/26 13:38:40 - mmengine - INFO - Epoch(train) [30][250/586] lr: 5.000000e-04 eta: 12:37:22 time: 0.449710 data_time: 0.030004 memory: 14278 loss_kpt: 0.000669 acc_pose: 0.837416 loss: 0.000669 2022/09/26 13:39:02 - mmengine - INFO - Epoch(train) [30][300/586] lr: 5.000000e-04 eta: 12:37:05 time: 0.445501 data_time: 0.029614 memory: 14278 loss_kpt: 0.000668 acc_pose: 0.788980 loss: 0.000668 2022/09/26 13:39:24 - mmengine - INFO - Epoch(train) [30][350/586] lr: 5.000000e-04 eta: 12:36:48 time: 0.442781 data_time: 0.039873 memory: 14278 loss_kpt: 0.000679 acc_pose: 0.828370 loss: 0.000679 2022/09/26 13:39:47 - mmengine - INFO - Epoch(train) [30][400/586] lr: 5.000000e-04 eta: 12:36:32 time: 0.449264 data_time: 0.031481 memory: 14278 loss_kpt: 0.000678 acc_pose: 0.787316 loss: 0.000678 2022/09/26 13:40:09 - mmengine - INFO - Epoch(train) [30][450/586] lr: 5.000000e-04 eta: 12:36:14 time: 0.441973 data_time: 0.030087 memory: 14278 loss_kpt: 0.000714 acc_pose: 0.825654 loss: 0.000714 2022/09/26 13:40:31 - mmengine - INFO - Epoch(train) [30][500/586] lr: 5.000000e-04 eta: 12:35:57 time: 0.442998 data_time: 0.033364 memory: 14278 loss_kpt: 0.000701 acc_pose: 0.778964 loss: 0.000701 2022/09/26 13:40:54 - mmengine - INFO - Epoch(train) [30][550/586] lr: 5.000000e-04 eta: 12:35:44 time: 0.456466 data_time: 0.029985 memory: 14278 loss_kpt: 0.000669 acc_pose: 0.811891 loss: 0.000669 2022/09/26 13:41:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:41:10 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/09/26 13:41:39 - mmengine - INFO - Epoch(val) [30][50/407] eta: 0:02:10 time: 0.365470 data_time: 0.132645 memory: 14278 2022/09/26 13:41:56 - mmengine - INFO - Epoch(val) [30][100/407] eta: 0:01:46 time: 0.347772 data_time: 0.091524 memory: 2124 2022/09/26 13:42:12 - mmengine - INFO - Epoch(val) [30][150/407] eta: 0:01:23 time: 0.324178 data_time: 0.094152 memory: 2124 2022/09/26 13:42:29 - mmengine - INFO - Epoch(val) [30][200/407] eta: 0:01:07 time: 0.325644 data_time: 0.094227 memory: 2124 2022/09/26 13:42:45 - mmengine - INFO - Epoch(val) [30][250/407] eta: 0:00:50 time: 0.322941 data_time: 0.086759 memory: 2124 2022/09/26 13:43:00 - mmengine - INFO - Epoch(val) [30][300/407] eta: 0:00:33 time: 0.312224 data_time: 0.069864 memory: 2124 2022/09/26 13:43:18 - mmengine - INFO - Epoch(val) [30][350/407] eta: 0:00:19 time: 0.343390 data_time: 0.103353 memory: 2124 2022/09/26 13:43:29 - mmengine - INFO - Epoch(val) [30][400/407] eta: 0:00:01 time: 0.235502 data_time: 0.067503 memory: 2124 2022/09/26 13:44:02 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 13:44:14 - mmengine - INFO - Epoch(val) [30][407/407] coco/AP: 0.708662 coco/AP .5: 0.888003 coco/AP .75: 0.776988 coco/AP (M): 0.668124 coco/AP (L): 0.779018 coco/AR: 0.762311 coco/AR .5: 0.925693 coco/AR .75: 0.824937 coco/AR (M): 0.718274 coco/AR (L): 0.826161 2022/09/26 13:44:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_20.pth is removed 2022/09/26 13:44:18 - mmengine - INFO - The best checkpoint with 0.7087 coco/AP at 30 epoch is saved to best_coco/AP_epoch_30.pth. 2022/09/26 13:44:41 - mmengine - INFO - Epoch(train) [31][50/586] lr: 5.000000e-04 eta: 12:33:41 time: 0.451433 data_time: 0.044210 memory: 14278 loss_kpt: 0.000690 acc_pose: 0.736490 loss: 0.000690 2022/09/26 13:45:03 - mmengine - INFO - Epoch(train) [31][100/586] lr: 5.000000e-04 eta: 12:33:24 time: 0.447065 data_time: 0.032794 memory: 14278 loss_kpt: 0.000666 acc_pose: 0.792646 loss: 0.000666 2022/09/26 13:45:26 - mmengine - INFO - Epoch(train) [31][150/586] lr: 5.000000e-04 eta: 12:33:09 time: 0.448091 data_time: 0.030445 memory: 14278 loss_kpt: 0.000681 acc_pose: 0.827416 loss: 0.000681 2022/09/26 13:45:48 - mmengine - INFO - Epoch(train) [31][200/586] lr: 5.000000e-04 eta: 12:32:51 time: 0.442682 data_time: 0.029723 memory: 14278 loss_kpt: 0.000666 acc_pose: 0.809586 loss: 0.000666 2022/09/26 13:46:10 - mmengine - INFO - Epoch(train) [31][250/586] lr: 5.000000e-04 eta: 12:32:34 time: 0.443967 data_time: 0.039125 memory: 14278 loss_kpt: 0.000665 acc_pose: 0.811831 loss: 0.000665 2022/09/26 13:46:32 - mmengine - INFO - Epoch(train) [31][300/586] lr: 5.000000e-04 eta: 12:32:15 time: 0.436355 data_time: 0.029858 memory: 14278 loss_kpt: 0.000671 acc_pose: 0.817639 loss: 0.000671 2022/09/26 13:46:54 - mmengine - INFO - Epoch(train) [31][350/586] lr: 5.000000e-04 eta: 12:31:58 time: 0.443012 data_time: 0.029545 memory: 14278 loss_kpt: 0.000673 acc_pose: 0.747774 loss: 0.000673 2022/09/26 13:47:16 - mmengine - INFO - Epoch(train) [31][400/586] lr: 5.000000e-04 eta: 12:31:38 time: 0.436753 data_time: 0.032177 memory: 14278 loss_kpt: 0.000684 acc_pose: 0.816988 loss: 0.000684 2022/09/26 13:47:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:47:38 - mmengine - INFO - Epoch(train) [31][450/586] lr: 5.000000e-04 eta: 12:31:21 time: 0.442593 data_time: 0.031537 memory: 14278 loss_kpt: 0.000692 acc_pose: 0.773293 loss: 0.000692 2022/09/26 13:48:00 - mmengine - INFO - Epoch(train) [31][500/586] lr: 5.000000e-04 eta: 12:31:04 time: 0.445454 data_time: 0.032401 memory: 14278 loss_kpt: 0.000680 acc_pose: 0.821240 loss: 0.000680 2022/09/26 13:48:22 - mmengine - INFO - Epoch(train) [31][550/586] lr: 5.000000e-04 eta: 12:30:45 time: 0.436220 data_time: 0.032461 memory: 14278 loss_kpt: 0.000677 acc_pose: 0.756332 loss: 0.000677 2022/09/26 13:48:38 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:49:01 - mmengine - INFO - Epoch(train) [32][50/586] lr: 5.000000e-04 eta: 12:28:52 time: 0.474858 data_time: 0.036595 memory: 14278 loss_kpt: 0.000698 acc_pose: 0.784921 loss: 0.000698 2022/09/26 13:49:25 - mmengine - INFO - Epoch(train) [32][100/586] lr: 5.000000e-04 eta: 12:28:41 time: 0.467034 data_time: 0.034641 memory: 14278 loss_kpt: 0.000686 acc_pose: 0.824234 loss: 0.000686 2022/09/26 13:49:48 - mmengine - INFO - Epoch(train) [32][150/586] lr: 5.000000e-04 eta: 12:28:29 time: 0.458798 data_time: 0.034846 memory: 14278 loss_kpt: 0.000651 acc_pose: 0.847612 loss: 0.000651 2022/09/26 13:50:10 - mmengine - INFO - Epoch(train) [32][200/586] lr: 5.000000e-04 eta: 12:28:15 time: 0.454833 data_time: 0.028204 memory: 14278 loss_kpt: 0.000690 acc_pose: 0.819152 loss: 0.000690 2022/09/26 13:50:32 - mmengine - INFO - Epoch(train) [32][250/586] lr: 5.000000e-04 eta: 12:27:56 time: 0.440217 data_time: 0.038044 memory: 14278 loss_kpt: 0.000677 acc_pose: 0.819935 loss: 0.000677 2022/09/26 13:50:54 - mmengine - INFO - Epoch(train) [32][300/586] lr: 5.000000e-04 eta: 12:27:38 time: 0.439980 data_time: 0.030505 memory: 14278 loss_kpt: 0.000684 acc_pose: 0.823953 loss: 0.000684 2022/09/26 13:51:17 - mmengine - INFO - Epoch(train) [32][350/586] lr: 5.000000e-04 eta: 12:27:24 time: 0.456428 data_time: 0.031837 memory: 14278 loss_kpt: 0.000685 acc_pose: 0.712226 loss: 0.000685 2022/09/26 13:51:39 - mmengine - INFO - Epoch(train) [32][400/586] lr: 5.000000e-04 eta: 12:27:07 time: 0.443977 data_time: 0.030487 memory: 14278 loss_kpt: 0.000665 acc_pose: 0.830137 loss: 0.000665 2022/09/26 13:52:01 - mmengine - INFO - Epoch(train) [32][450/586] lr: 5.000000e-04 eta: 12:26:46 time: 0.429274 data_time: 0.031041 memory: 14278 loss_kpt: 0.000683 acc_pose: 0.726326 loss: 0.000683 2022/09/26 13:52:24 - mmengine - INFO - Epoch(train) [32][500/586] lr: 5.000000e-04 eta: 12:26:34 time: 0.462708 data_time: 0.038078 memory: 14278 loss_kpt: 0.000666 acc_pose: 0.831089 loss: 0.000666 2022/09/26 13:52:46 - mmengine - INFO - Epoch(train) [32][550/586] lr: 5.000000e-04 eta: 12:26:15 time: 0.439929 data_time: 0.030234 memory: 14278 loss_kpt: 0.000685 acc_pose: 0.820648 loss: 0.000685 2022/09/26 13:53:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:53:25 - mmengine - INFO - Epoch(train) [33][50/586] lr: 5.000000e-04 eta: 12:24:24 time: 0.467927 data_time: 0.042666 memory: 14278 loss_kpt: 0.000683 acc_pose: 0.777806 loss: 0.000683 2022/09/26 13:53:48 - mmengine - INFO - Epoch(train) [33][100/586] lr: 5.000000e-04 eta: 12:24:12 time: 0.463034 data_time: 0.032392 memory: 14278 loss_kpt: 0.000661 acc_pose: 0.799707 loss: 0.000661 2022/09/26 13:54:11 - mmengine - INFO - Epoch(train) [33][150/586] lr: 5.000000e-04 eta: 12:23:57 time: 0.451254 data_time: 0.031175 memory: 14278 loss_kpt: 0.000672 acc_pose: 0.805069 loss: 0.000672 2022/09/26 13:54:33 - mmengine - INFO - Epoch(train) [33][200/586] lr: 5.000000e-04 eta: 12:23:39 time: 0.441219 data_time: 0.043001 memory: 14278 loss_kpt: 0.000681 acc_pose: 0.847021 loss: 0.000681 2022/09/26 13:54:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:54:55 - mmengine - INFO - Epoch(train) [33][250/586] lr: 5.000000e-04 eta: 12:23:20 time: 0.438401 data_time: 0.031024 memory: 14278 loss_kpt: 0.000671 acc_pose: 0.769210 loss: 0.000671 2022/09/26 13:55:17 - mmengine - INFO - Epoch(train) [33][300/586] lr: 5.000000e-04 eta: 12:23:03 time: 0.444362 data_time: 0.029360 memory: 14278 loss_kpt: 0.000670 acc_pose: 0.750727 loss: 0.000670 2022/09/26 13:55:39 - mmengine - INFO - Epoch(train) [33][350/586] lr: 5.000000e-04 eta: 12:22:45 time: 0.442879 data_time: 0.033687 memory: 14278 loss_kpt: 0.000680 acc_pose: 0.784626 loss: 0.000680 2022/09/26 13:56:02 - mmengine - INFO - Epoch(train) [33][400/586] lr: 5.000000e-04 eta: 12:22:29 time: 0.449412 data_time: 0.036533 memory: 14278 loss_kpt: 0.000673 acc_pose: 0.792611 loss: 0.000673 2022/09/26 13:56:24 - mmengine - INFO - Epoch(train) [33][450/586] lr: 5.000000e-04 eta: 12:22:11 time: 0.440313 data_time: 0.036959 memory: 14278 loss_kpt: 0.000662 acc_pose: 0.865489 loss: 0.000662 2022/09/26 13:56:46 - mmengine - INFO - Epoch(train) [33][500/586] lr: 5.000000e-04 eta: 12:21:54 time: 0.443731 data_time: 0.032493 memory: 14278 loss_kpt: 0.000657 acc_pose: 0.834356 loss: 0.000657 2022/09/26 13:57:08 - mmengine - INFO - Epoch(train) [33][550/586] lr: 5.000000e-04 eta: 12:21:37 time: 0.446960 data_time: 0.030037 memory: 14278 loss_kpt: 0.000656 acc_pose: 0.698128 loss: 0.000656 2022/09/26 13:57:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 13:57:47 - mmengine - INFO - Epoch(train) [34][50/586] lr: 5.000000e-04 eta: 12:19:44 time: 0.454312 data_time: 0.037326 memory: 14278 loss_kpt: 0.000667 acc_pose: 0.772507 loss: 0.000667 2022/09/26 13:58:09 - mmengine - INFO - Epoch(train) [34][100/586] lr: 5.000000e-04 eta: 12:19:26 time: 0.437516 data_time: 0.029750 memory: 14278 loss_kpt: 0.000678 acc_pose: 0.775422 loss: 0.000678 2022/09/26 13:58:32 - mmengine - INFO - Epoch(train) [34][150/586] lr: 5.000000e-04 eta: 12:19:09 time: 0.445697 data_time: 0.032501 memory: 14278 loss_kpt: 0.000683 acc_pose: 0.842045 loss: 0.000683 2022/09/26 13:58:54 - mmengine - INFO - Epoch(train) [34][200/586] lr: 5.000000e-04 eta: 12:18:54 time: 0.451441 data_time: 0.042284 memory: 14278 loss_kpt: 0.000666 acc_pose: 0.812888 loss: 0.000666 2022/09/26 13:59:17 - mmengine - INFO - Epoch(train) [34][250/586] lr: 5.000000e-04 eta: 12:18:38 time: 0.449967 data_time: 0.033374 memory: 14278 loss_kpt: 0.000660 acc_pose: 0.832611 loss: 0.000660 2022/09/26 13:59:39 - mmengine - INFO - Epoch(train) [34][300/586] lr: 5.000000e-04 eta: 12:18:20 time: 0.442743 data_time: 0.030011 memory: 14278 loss_kpt: 0.000678 acc_pose: 0.833753 loss: 0.000678 2022/09/26 14:00:01 - mmengine - INFO - Epoch(train) [34][350/586] lr: 5.000000e-04 eta: 12:18:02 time: 0.440951 data_time: 0.034844 memory: 14278 loss_kpt: 0.000668 acc_pose: 0.820185 loss: 0.000668 2022/09/26 14:00:24 - mmengine - INFO - Epoch(train) [34][400/586] lr: 5.000000e-04 eta: 12:17:50 time: 0.462975 data_time: 0.035420 memory: 14278 loss_kpt: 0.000647 acc_pose: 0.879482 loss: 0.000647 2022/09/26 14:00:46 - mmengine - INFO - Epoch(train) [34][450/586] lr: 5.000000e-04 eta: 12:17:34 time: 0.448881 data_time: 0.032002 memory: 14278 loss_kpt: 0.000676 acc_pose: 0.784912 loss: 0.000676 2022/09/26 14:01:10 - mmengine - INFO - Epoch(train) [34][500/586] lr: 5.000000e-04 eta: 12:17:22 time: 0.464675 data_time: 0.038003 memory: 14278 loss_kpt: 0.000660 acc_pose: 0.747728 loss: 0.000660 2022/09/26 14:01:32 - mmengine - INFO - Epoch(train) [34][550/586] lr: 5.000000e-04 eta: 12:17:06 time: 0.451345 data_time: 0.036094 memory: 14278 loss_kpt: 0.000688 acc_pose: 0.835967 loss: 0.000688 2022/09/26 14:01:48 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:02:12 - mmengine - INFO - Epoch(train) [35][50/586] lr: 5.000000e-04 eta: 12:15:21 time: 0.471390 data_time: 0.052511 memory: 14278 loss_kpt: 0.000658 acc_pose: 0.835255 loss: 0.000658 2022/09/26 14:02:23 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:02:34 - mmengine - INFO - Epoch(train) [35][100/586] lr: 5.000000e-04 eta: 12:15:03 time: 0.441868 data_time: 0.029663 memory: 14278 loss_kpt: 0.000674 acc_pose: 0.839257 loss: 0.000674 2022/09/26 14:02:56 - mmengine - INFO - Epoch(train) [35][150/586] lr: 5.000000e-04 eta: 12:14:45 time: 0.443659 data_time: 0.031588 memory: 14278 loss_kpt: 0.000663 acc_pose: 0.853112 loss: 0.000663 2022/09/26 14:03:19 - mmengine - INFO - Epoch(train) [35][200/586] lr: 5.000000e-04 eta: 12:14:33 time: 0.461694 data_time: 0.042679 memory: 14278 loss_kpt: 0.000659 acc_pose: 0.822042 loss: 0.000659 2022/09/26 14:03:42 - mmengine - INFO - Epoch(train) [35][250/586] lr: 5.000000e-04 eta: 12:14:20 time: 0.460777 data_time: 0.032857 memory: 14278 loss_kpt: 0.000653 acc_pose: 0.829873 loss: 0.000653 2022/09/26 14:04:05 - mmengine - INFO - Epoch(train) [35][300/586] lr: 5.000000e-04 eta: 12:14:04 time: 0.451879 data_time: 0.031451 memory: 14278 loss_kpt: 0.000673 acc_pose: 0.804237 loss: 0.000673 2022/09/26 14:04:28 - mmengine - INFO - Epoch(train) [35][350/586] lr: 5.000000e-04 eta: 12:13:54 time: 0.473582 data_time: 0.032729 memory: 14278 loss_kpt: 0.000670 acc_pose: 0.834316 loss: 0.000670 2022/09/26 14:04:50 - mmengine - INFO - Epoch(train) [35][400/586] lr: 5.000000e-04 eta: 12:13:36 time: 0.440555 data_time: 0.035103 memory: 14278 loss_kpt: 0.000653 acc_pose: 0.756159 loss: 0.000653 2022/09/26 14:05:13 - mmengine - INFO - Epoch(train) [35][450/586] lr: 5.000000e-04 eta: 12:13:22 time: 0.459490 data_time: 0.034431 memory: 14278 loss_kpt: 0.000698 acc_pose: 0.842941 loss: 0.000698 2022/09/26 14:05:35 - mmengine - INFO - Epoch(train) [35][500/586] lr: 5.000000e-04 eta: 12:13:02 time: 0.433990 data_time: 0.033683 memory: 14278 loss_kpt: 0.000662 acc_pose: 0.814981 loss: 0.000662 2022/09/26 14:05:58 - mmengine - INFO - Epoch(train) [35][550/586] lr: 5.000000e-04 eta: 12:12:50 time: 0.465142 data_time: 0.037472 memory: 14278 loss_kpt: 0.000656 acc_pose: 0.820921 loss: 0.000656 2022/09/26 14:06:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:06:38 - mmengine - INFO - Epoch(train) [36][50/586] lr: 5.000000e-04 eta: 12:11:06 time: 0.466210 data_time: 0.040785 memory: 14278 loss_kpt: 0.000675 acc_pose: 0.797945 loss: 0.000675 2022/09/26 14:07:01 - mmengine - INFO - Epoch(train) [36][100/586] lr: 5.000000e-04 eta: 12:10:48 time: 0.444245 data_time: 0.033341 memory: 14278 loss_kpt: 0.000670 acc_pose: 0.816691 loss: 0.000670 2022/09/26 14:07:23 - mmengine - INFO - Epoch(train) [36][150/586] lr: 5.000000e-04 eta: 12:10:34 time: 0.456505 data_time: 0.032005 memory: 14278 loss_kpt: 0.000667 acc_pose: 0.779492 loss: 0.000667 2022/09/26 14:07:46 - mmengine - INFO - Epoch(train) [36][200/586] lr: 5.000000e-04 eta: 12:10:20 time: 0.459628 data_time: 0.041313 memory: 14278 loss_kpt: 0.000660 acc_pose: 0.821636 loss: 0.000660 2022/09/26 14:08:09 - mmengine - INFO - Epoch(train) [36][250/586] lr: 5.000000e-04 eta: 12:10:03 time: 0.445429 data_time: 0.031170 memory: 14278 loss_kpt: 0.000657 acc_pose: 0.733835 loss: 0.000657 2022/09/26 14:08:32 - mmengine - INFO - Epoch(train) [36][300/586] lr: 5.000000e-04 eta: 12:09:52 time: 0.470773 data_time: 0.036816 memory: 14278 loss_kpt: 0.000680 acc_pose: 0.773663 loss: 0.000680 2022/09/26 14:08:54 - mmengine - INFO - Epoch(train) [36][350/586] lr: 5.000000e-04 eta: 12:09:34 time: 0.441358 data_time: 0.032963 memory: 14278 loss_kpt: 0.000662 acc_pose: 0.798093 loss: 0.000662 2022/09/26 14:09:17 - mmengine - INFO - Epoch(train) [36][400/586] lr: 5.000000e-04 eta: 12:09:17 time: 0.446158 data_time: 0.031901 memory: 14278 loss_kpt: 0.000640 acc_pose: 0.834998 loss: 0.000640 2022/09/26 14:09:39 - mmengine - INFO - Epoch(train) [36][450/586] lr: 5.000000e-04 eta: 12:09:00 time: 0.445302 data_time: 0.031655 memory: 14278 loss_kpt: 0.000657 acc_pose: 0.830072 loss: 0.000657 2022/09/26 14:09:56 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:10:01 - mmengine - INFO - Epoch(train) [36][500/586] lr: 5.000000e-04 eta: 12:08:41 time: 0.438519 data_time: 0.034596 memory: 14278 loss_kpt: 0.000651 acc_pose: 0.789620 loss: 0.000651 2022/09/26 14:10:24 - mmengine - INFO - Epoch(train) [36][550/586] lr: 5.000000e-04 eta: 12:08:26 time: 0.457564 data_time: 0.041839 memory: 14278 loss_kpt: 0.000693 acc_pose: 0.737513 loss: 0.000693 2022/09/26 14:10:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:11:02 - mmengine - INFO - Epoch(train) [37][50/586] lr: 5.000000e-04 eta: 12:06:40 time: 0.450375 data_time: 0.042300 memory: 14278 loss_kpt: 0.000638 acc_pose: 0.804175 loss: 0.000638 2022/09/26 14:11:24 - mmengine - INFO - Epoch(train) [37][100/586] lr: 5.000000e-04 eta: 12:06:22 time: 0.440539 data_time: 0.030503 memory: 14278 loss_kpt: 0.000655 acc_pose: 0.836658 loss: 0.000655 2022/09/26 14:11:47 - mmengine - INFO - Epoch(train) [37][150/586] lr: 5.000000e-04 eta: 12:06:05 time: 0.446838 data_time: 0.032983 memory: 14278 loss_kpt: 0.000651 acc_pose: 0.762506 loss: 0.000651 2022/09/26 14:12:09 - mmengine - INFO - Epoch(train) [37][200/586] lr: 5.000000e-04 eta: 12:05:50 time: 0.455713 data_time: 0.031208 memory: 14278 loss_kpt: 0.000658 acc_pose: 0.812091 loss: 0.000658 2022/09/26 14:12:32 - mmengine - INFO - Epoch(train) [37][250/586] lr: 5.000000e-04 eta: 12:05:37 time: 0.459937 data_time: 0.030683 memory: 14278 loss_kpt: 0.000639 acc_pose: 0.808645 loss: 0.000639 2022/09/26 14:12:54 - mmengine - INFO - Epoch(train) [37][300/586] lr: 5.000000e-04 eta: 12:05:18 time: 0.441738 data_time: 0.046684 memory: 14278 loss_kpt: 0.000654 acc_pose: 0.823223 loss: 0.000654 2022/09/26 14:13:17 - mmengine - INFO - Epoch(train) [37][350/586] lr: 5.000000e-04 eta: 12:05:03 time: 0.453386 data_time: 0.031606 memory: 14278 loss_kpt: 0.000657 acc_pose: 0.781817 loss: 0.000657 2022/09/26 14:13:40 - mmengine - INFO - Epoch(train) [37][400/586] lr: 5.000000e-04 eta: 12:04:47 time: 0.449077 data_time: 0.029699 memory: 14278 loss_kpt: 0.000671 acc_pose: 0.813950 loss: 0.000671 2022/09/26 14:14:02 - mmengine - INFO - Epoch(train) [37][450/586] lr: 5.000000e-04 eta: 12:04:28 time: 0.440744 data_time: 0.032442 memory: 14278 loss_kpt: 0.000669 acc_pose: 0.795432 loss: 0.000669 2022/09/26 14:14:24 - mmengine - INFO - Epoch(train) [37][500/586] lr: 5.000000e-04 eta: 12:04:11 time: 0.446375 data_time: 0.032478 memory: 14278 loss_kpt: 0.000659 acc_pose: 0.832012 loss: 0.000659 2022/09/26 14:14:46 - mmengine - INFO - Epoch(train) [37][550/586] lr: 5.000000e-04 eta: 12:03:55 time: 0.451032 data_time: 0.034086 memory: 14278 loss_kpt: 0.000656 acc_pose: 0.797164 loss: 0.000656 2022/09/26 14:15:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:15:26 - mmengine - INFO - Epoch(train) [38][50/586] lr: 5.000000e-04 eta: 12:02:19 time: 0.483934 data_time: 0.043366 memory: 14278 loss_kpt: 0.000640 acc_pose: 0.780093 loss: 0.000640 2022/09/26 14:15:48 - mmengine - INFO - Epoch(train) [38][100/586] lr: 5.000000e-04 eta: 12:02:01 time: 0.440863 data_time: 0.038273 memory: 14278 loss_kpt: 0.000656 acc_pose: 0.794385 loss: 0.000656 2022/09/26 14:16:11 - mmengine - INFO - Epoch(train) [38][150/586] lr: 5.000000e-04 eta: 12:01:43 time: 0.442694 data_time: 0.031541 memory: 14278 loss_kpt: 0.000665 acc_pose: 0.808220 loss: 0.000665 2022/09/26 14:16:33 - mmengine - INFO - Epoch(train) [38][200/586] lr: 5.000000e-04 eta: 12:01:28 time: 0.456181 data_time: 0.029744 memory: 14278 loss_kpt: 0.000658 acc_pose: 0.823255 loss: 0.000658 2022/09/26 14:16:56 - mmengine - INFO - Epoch(train) [38][250/586] lr: 5.000000e-04 eta: 12:01:11 time: 0.447533 data_time: 0.034204 memory: 14278 loss_kpt: 0.000644 acc_pose: 0.794444 loss: 0.000644 2022/09/26 14:17:19 - mmengine - INFO - Epoch(train) [38][300/586] lr: 5.000000e-04 eta: 12:00:57 time: 0.457210 data_time: 0.037915 memory: 14278 loss_kpt: 0.000648 acc_pose: 0.837387 loss: 0.000648 2022/09/26 14:17:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:17:41 - mmengine - INFO - Epoch(train) [38][350/586] lr: 5.000000e-04 eta: 12:00:39 time: 0.442346 data_time: 0.031335 memory: 14278 loss_kpt: 0.000658 acc_pose: 0.810203 loss: 0.000658 2022/09/26 14:18:03 - mmengine - INFO - Epoch(train) [38][400/586] lr: 5.000000e-04 eta: 12:00:21 time: 0.444244 data_time: 0.028935 memory: 14278 loss_kpt: 0.000666 acc_pose: 0.807300 loss: 0.000666 2022/09/26 14:18:26 - mmengine - INFO - Epoch(train) [38][450/586] lr: 5.000000e-04 eta: 12:00:06 time: 0.458988 data_time: 0.034364 memory: 14278 loss_kpt: 0.000659 acc_pose: 0.820390 loss: 0.000659 2022/09/26 14:18:48 - mmengine - INFO - Epoch(train) [38][500/586] lr: 5.000000e-04 eta: 11:59:47 time: 0.434829 data_time: 0.035437 memory: 14278 loss_kpt: 0.000668 acc_pose: 0.826166 loss: 0.000668 2022/09/26 14:19:10 - mmengine - INFO - Epoch(train) [38][550/586] lr: 5.000000e-04 eta: 11:59:28 time: 0.441418 data_time: 0.032978 memory: 14278 loss_kpt: 0.000676 acc_pose: 0.775453 loss: 0.000676 2022/09/26 14:19:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:19:50 - mmengine - INFO - Epoch(train) [39][50/586] lr: 5.000000e-04 eta: 11:57:49 time: 0.459803 data_time: 0.043354 memory: 14278 loss_kpt: 0.000668 acc_pose: 0.830827 loss: 0.000668 2022/09/26 14:20:12 - mmengine - INFO - Epoch(train) [39][100/586] lr: 5.000000e-04 eta: 11:57:30 time: 0.438555 data_time: 0.037983 memory: 14278 loss_kpt: 0.000673 acc_pose: 0.806117 loss: 0.000673 2022/09/26 14:20:35 - mmengine - INFO - Epoch(train) [39][150/586] lr: 5.000000e-04 eta: 11:57:15 time: 0.455704 data_time: 0.030913 memory: 14278 loss_kpt: 0.000644 acc_pose: 0.831801 loss: 0.000644 2022/09/26 14:20:57 - mmengine - INFO - Epoch(train) [39][200/586] lr: 5.000000e-04 eta: 11:56:56 time: 0.440142 data_time: 0.030516 memory: 14278 loss_kpt: 0.000652 acc_pose: 0.792252 loss: 0.000652 2022/09/26 14:21:20 - mmengine - INFO - Epoch(train) [39][250/586] lr: 5.000000e-04 eta: 11:56:44 time: 0.468197 data_time: 0.034697 memory: 14278 loss_kpt: 0.000650 acc_pose: 0.838605 loss: 0.000650 2022/09/26 14:21:42 - mmengine - INFO - Epoch(train) [39][300/586] lr: 5.000000e-04 eta: 11:56:27 time: 0.446055 data_time: 0.038478 memory: 14278 loss_kpt: 0.000634 acc_pose: 0.758148 loss: 0.000634 2022/09/26 14:22:04 - mmengine - INFO - Epoch(train) [39][350/586] lr: 5.000000e-04 eta: 11:56:07 time: 0.433521 data_time: 0.030289 memory: 14278 loss_kpt: 0.000664 acc_pose: 0.881127 loss: 0.000664 2022/09/26 14:22:26 - mmengine - INFO - Epoch(train) [39][400/586] lr: 5.000000e-04 eta: 11:55:50 time: 0.447739 data_time: 0.030308 memory: 14278 loss_kpt: 0.000650 acc_pose: 0.799081 loss: 0.000650 2022/09/26 14:22:49 - mmengine - INFO - Epoch(train) [39][450/586] lr: 5.000000e-04 eta: 11:55:33 time: 0.449307 data_time: 0.037755 memory: 14278 loss_kpt: 0.000639 acc_pose: 0.852477 loss: 0.000639 2022/09/26 14:23:11 - mmengine - INFO - Epoch(train) [39][500/586] lr: 5.000000e-04 eta: 11:55:15 time: 0.444003 data_time: 0.030060 memory: 14278 loss_kpt: 0.000656 acc_pose: 0.799545 loss: 0.000656 2022/09/26 14:23:33 - mmengine - INFO - Epoch(train) [39][550/586] lr: 5.000000e-04 eta: 11:54:58 time: 0.444581 data_time: 0.034101 memory: 14278 loss_kpt: 0.000657 acc_pose: 0.785240 loss: 0.000657 2022/09/26 14:23:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:24:12 - mmengine - INFO - Epoch(train) [40][50/586] lr: 5.000000e-04 eta: 11:53:21 time: 0.462269 data_time: 0.045223 memory: 14278 loss_kpt: 0.000645 acc_pose: 0.813529 loss: 0.000645 2022/09/26 14:24:34 - mmengine - INFO - Epoch(train) [40][100/586] lr: 5.000000e-04 eta: 11:53:05 time: 0.450775 data_time: 0.032592 memory: 14278 loss_kpt: 0.000663 acc_pose: 0.773565 loss: 0.000663 2022/09/26 14:24:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:24:57 - mmengine - INFO - Epoch(train) [40][150/586] lr: 5.000000e-04 eta: 11:52:49 time: 0.455854 data_time: 0.030998 memory: 14278 loss_kpt: 0.000681 acc_pose: 0.754960 loss: 0.000681 2022/09/26 14:25:20 - mmengine - INFO - Epoch(train) [40][200/586] lr: 5.000000e-04 eta: 11:52:33 time: 0.450398 data_time: 0.031556 memory: 14278 loss_kpt: 0.000640 acc_pose: 0.830613 loss: 0.000640 2022/09/26 14:25:43 - mmengine - INFO - Epoch(train) [40][250/586] lr: 5.000000e-04 eta: 11:52:18 time: 0.455294 data_time: 0.035937 memory: 14278 loss_kpt: 0.000659 acc_pose: 0.773379 loss: 0.000659 2022/09/26 14:26:04 - mmengine - INFO - Epoch(train) [40][300/586] lr: 5.000000e-04 eta: 11:51:57 time: 0.431773 data_time: 0.031291 memory: 14278 loss_kpt: 0.000662 acc_pose: 0.836725 loss: 0.000662 2022/09/26 14:26:26 - mmengine - INFO - Epoch(train) [40][350/586] lr: 5.000000e-04 eta: 11:51:38 time: 0.439793 data_time: 0.030664 memory: 14278 loss_kpt: 0.000649 acc_pose: 0.841931 loss: 0.000649 2022/09/26 14:26:49 - mmengine - INFO - Epoch(train) [40][400/586] lr: 5.000000e-04 eta: 11:51:23 time: 0.455610 data_time: 0.037864 memory: 14278 loss_kpt: 0.000654 acc_pose: 0.819473 loss: 0.000654 2022/09/26 14:27:12 - mmengine - INFO - Epoch(train) [40][450/586] lr: 5.000000e-04 eta: 11:51:08 time: 0.455241 data_time: 0.031293 memory: 14278 loss_kpt: 0.000655 acc_pose: 0.825698 loss: 0.000655 2022/09/26 14:27:34 - mmengine - INFO - Epoch(train) [40][500/586] lr: 5.000000e-04 eta: 11:50:50 time: 0.445211 data_time: 0.030263 memory: 14278 loss_kpt: 0.000669 acc_pose: 0.784689 loss: 0.000669 2022/09/26 14:27:56 - mmengine - INFO - Epoch(train) [40][550/586] lr: 5.000000e-04 eta: 11:50:32 time: 0.444671 data_time: 0.030614 memory: 14278 loss_kpt: 0.000663 acc_pose: 0.819618 loss: 0.000663 2022/09/26 14:28:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:28:13 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/09/26 14:28:42 - mmengine - INFO - Epoch(val) [40][50/407] eta: 0:02:01 time: 0.341129 data_time: 0.102782 memory: 14278 2022/09/26 14:28:58 - mmengine - INFO - Epoch(val) [40][100/407] eta: 0:01:39 time: 0.325606 data_time: 0.082216 memory: 2124 2022/09/26 14:29:15 - mmengine - INFO - Epoch(val) [40][150/407] eta: 0:01:29 time: 0.348251 data_time: 0.104092 memory: 2124 2022/09/26 14:29:33 - mmengine - INFO - Epoch(val) [40][200/407] eta: 0:01:12 time: 0.350509 data_time: 0.126059 memory: 2124 2022/09/26 14:29:50 - mmengine - INFO - Epoch(val) [40][250/407] eta: 0:00:54 time: 0.346634 data_time: 0.111927 memory: 2124 2022/09/26 14:30:07 - mmengine - INFO - Epoch(val) [40][300/407] eta: 0:00:35 time: 0.328912 data_time: 0.091464 memory: 2124 2022/09/26 14:30:23 - mmengine - INFO - Epoch(val) [40][350/407] eta: 0:00:19 time: 0.334584 data_time: 0.096894 memory: 2124 2022/09/26 14:30:33 - mmengine - INFO - Epoch(val) [40][400/407] eta: 0:00:01 time: 0.191041 data_time: 0.044959 memory: 2124 2022/09/26 14:31:05 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 14:31:17 - mmengine - INFO - Epoch(val) [40][407/407] coco/AP: 0.722297 coco/AP .5: 0.896238 coco/AP .75: 0.790575 coco/AP (M): 0.682884 coco/AP (L): 0.791104 coco/AR: 0.774732 coco/AR .5: 0.932935 coco/AR .75: 0.835800 coco/AR (M): 0.731112 coco/AR (L): 0.837830 2022/09/26 14:31:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_30.pth is removed 2022/09/26 14:31:21 - mmengine - INFO - The best checkpoint with 0.7223 coco/AP at 40 epoch is saved to best_coco/AP_epoch_40.pth. 2022/09/26 14:31:43 - mmengine - INFO - Epoch(train) [41][50/586] lr: 5.000000e-04 eta: 11:48:52 time: 0.437299 data_time: 0.041289 memory: 14278 loss_kpt: 0.000653 acc_pose: 0.810972 loss: 0.000653 2022/09/26 14:32:06 - mmengine - INFO - Epoch(train) [41][100/586] lr: 5.000000e-04 eta: 11:48:40 time: 0.471576 data_time: 0.030028 memory: 14278 loss_kpt: 0.000646 acc_pose: 0.817693 loss: 0.000646 2022/09/26 14:32:30 - mmengine - INFO - Epoch(train) [41][150/586] lr: 5.000000e-04 eta: 11:48:27 time: 0.465040 data_time: 0.032439 memory: 14278 loss_kpt: 0.000659 acc_pose: 0.844470 loss: 0.000659 2022/09/26 14:32:52 - mmengine - INFO - Epoch(train) [41][200/586] lr: 5.000000e-04 eta: 11:48:11 time: 0.455498 data_time: 0.038312 memory: 14278 loss_kpt: 0.000652 acc_pose: 0.779860 loss: 0.000652 2022/09/26 14:33:14 - mmengine - INFO - Epoch(train) [41][250/586] lr: 5.000000e-04 eta: 11:47:52 time: 0.437413 data_time: 0.029789 memory: 14278 loss_kpt: 0.000631 acc_pose: 0.841773 loss: 0.000631 2022/09/26 14:33:37 - mmengine - INFO - Epoch(train) [41][300/586] lr: 5.000000e-04 eta: 11:47:34 time: 0.442454 data_time: 0.032385 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.801471 loss: 0.000637 2022/09/26 14:33:59 - mmengine - INFO - Epoch(train) [41][350/586] lr: 5.000000e-04 eta: 11:47:17 time: 0.451116 data_time: 0.033476 memory: 14278 loss_kpt: 0.000641 acc_pose: 0.822645 loss: 0.000641 2022/09/26 14:34:21 - mmengine - INFO - Epoch(train) [41][400/586] lr: 5.000000e-04 eta: 11:47:00 time: 0.444715 data_time: 0.030047 memory: 14278 loss_kpt: 0.000653 acc_pose: 0.874803 loss: 0.000653 2022/09/26 14:34:43 - mmengine - INFO - Epoch(train) [41][450/586] lr: 5.000000e-04 eta: 11:46:42 time: 0.443720 data_time: 0.036965 memory: 14278 loss_kpt: 0.000660 acc_pose: 0.781113 loss: 0.000660 2022/09/26 14:35:06 - mmengine - INFO - Epoch(train) [41][500/586] lr: 5.000000e-04 eta: 11:46:25 time: 0.451623 data_time: 0.034476 memory: 14278 loss_kpt: 0.000657 acc_pose: 0.828415 loss: 0.000657 2022/09/26 14:35:29 - mmengine - INFO - Epoch(train) [41][550/586] lr: 5.000000e-04 eta: 11:46:08 time: 0.449145 data_time: 0.030054 memory: 14278 loss_kpt: 0.000632 acc_pose: 0.833123 loss: 0.000632 2022/09/26 14:35:33 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:35:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:36:08 - mmengine - INFO - Epoch(train) [42][50/586] lr: 5.000000e-04 eta: 11:44:38 time: 0.475815 data_time: 0.038647 memory: 14278 loss_kpt: 0.000651 acc_pose: 0.807055 loss: 0.000651 2022/09/26 14:36:31 - mmengine - INFO - Epoch(train) [42][100/586] lr: 5.000000e-04 eta: 11:44:21 time: 0.450791 data_time: 0.037908 memory: 14278 loss_kpt: 0.000657 acc_pose: 0.737368 loss: 0.000657 2022/09/26 14:36:53 - mmengine - INFO - Epoch(train) [42][150/586] lr: 5.000000e-04 eta: 11:44:05 time: 0.453355 data_time: 0.033357 memory: 14278 loss_kpt: 0.000656 acc_pose: 0.761036 loss: 0.000656 2022/09/26 14:37:15 - mmengine - INFO - Epoch(train) [42][200/586] lr: 5.000000e-04 eta: 11:43:47 time: 0.440110 data_time: 0.031600 memory: 14278 loss_kpt: 0.000655 acc_pose: 0.740560 loss: 0.000655 2022/09/26 14:37:37 - mmengine - INFO - Epoch(train) [42][250/586] lr: 5.000000e-04 eta: 11:43:27 time: 0.437381 data_time: 0.033309 memory: 14278 loss_kpt: 0.000680 acc_pose: 0.780094 loss: 0.000680 2022/09/26 14:37:59 - mmengine - INFO - Epoch(train) [42][300/586] lr: 5.000000e-04 eta: 11:43:09 time: 0.442510 data_time: 0.029652 memory: 14278 loss_kpt: 0.000654 acc_pose: 0.821360 loss: 0.000654 2022/09/26 14:38:22 - mmengine - INFO - Epoch(train) [42][350/586] lr: 5.000000e-04 eta: 11:42:54 time: 0.458902 data_time: 0.031020 memory: 14278 loss_kpt: 0.000654 acc_pose: 0.831903 loss: 0.000654 2022/09/26 14:38:44 - mmengine - INFO - Epoch(train) [42][400/586] lr: 5.000000e-04 eta: 11:42:36 time: 0.442547 data_time: 0.031793 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.825161 loss: 0.000637 2022/09/26 14:39:06 - mmengine - INFO - Epoch(train) [42][450/586] lr: 5.000000e-04 eta: 11:42:17 time: 0.440590 data_time: 0.032946 memory: 14278 loss_kpt: 0.000622 acc_pose: 0.834681 loss: 0.000622 2022/09/26 14:39:29 - mmengine - INFO - Epoch(train) [42][500/586] lr: 5.000000e-04 eta: 11:42:02 time: 0.456896 data_time: 0.032079 memory: 14278 loss_kpt: 0.000662 acc_pose: 0.753532 loss: 0.000662 2022/09/26 14:39:52 - mmengine - INFO - Epoch(train) [42][550/586] lr: 5.000000e-04 eta: 11:41:48 time: 0.464877 data_time: 0.033995 memory: 14278 loss_kpt: 0.000653 acc_pose: 0.842241 loss: 0.000653 2022/09/26 14:40:08 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:40:31 - mmengine - INFO - Epoch(train) [43][50/586] lr: 5.000000e-04 eta: 11:40:15 time: 0.454201 data_time: 0.050767 memory: 14278 loss_kpt: 0.000666 acc_pose: 0.772161 loss: 0.000666 2022/09/26 14:40:53 - mmengine - INFO - Epoch(train) [43][100/586] lr: 5.000000e-04 eta: 11:39:55 time: 0.435476 data_time: 0.029688 memory: 14278 loss_kpt: 0.000644 acc_pose: 0.754193 loss: 0.000644 2022/09/26 14:41:15 - mmengine - INFO - Epoch(train) [43][150/586] lr: 5.000000e-04 eta: 11:39:37 time: 0.441237 data_time: 0.029810 memory: 14278 loss_kpt: 0.000647 acc_pose: 0.864081 loss: 0.000647 2022/09/26 14:41:37 - mmengine - INFO - Epoch(train) [43][200/586] lr: 5.000000e-04 eta: 11:39:19 time: 0.443636 data_time: 0.034327 memory: 14278 loss_kpt: 0.000668 acc_pose: 0.835386 loss: 0.000668 2022/09/26 14:42:00 - mmengine - INFO - Epoch(train) [43][250/586] lr: 5.000000e-04 eta: 11:39:02 time: 0.452715 data_time: 0.033820 memory: 14278 loss_kpt: 0.000645 acc_pose: 0.813688 loss: 0.000645 2022/09/26 14:42:22 - mmengine - INFO - Epoch(train) [43][300/586] lr: 5.000000e-04 eta: 11:38:45 time: 0.447188 data_time: 0.029899 memory: 14278 loss_kpt: 0.000653 acc_pose: 0.800803 loss: 0.000653 2022/09/26 14:42:44 - mmengine - INFO - Epoch(train) [43][350/586] lr: 5.000000e-04 eta: 11:38:27 time: 0.442861 data_time: 0.030202 memory: 14278 loss_kpt: 0.000635 acc_pose: 0.869424 loss: 0.000635 2022/09/26 14:43:01 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:43:06 - mmengine - INFO - Epoch(train) [43][400/586] lr: 5.000000e-04 eta: 11:38:08 time: 0.440339 data_time: 0.030948 memory: 14278 loss_kpt: 0.000634 acc_pose: 0.841378 loss: 0.000634 2022/09/26 14:43:29 - mmengine - INFO - Epoch(train) [43][450/586] lr: 5.000000e-04 eta: 11:37:50 time: 0.445746 data_time: 0.033930 memory: 14278 loss_kpt: 0.000635 acc_pose: 0.860774 loss: 0.000635 2022/09/26 14:43:52 - mmengine - INFO - Epoch(train) [43][500/586] lr: 5.000000e-04 eta: 11:37:36 time: 0.461954 data_time: 0.038699 memory: 14278 loss_kpt: 0.000656 acc_pose: 0.758972 loss: 0.000656 2022/09/26 14:44:14 - mmengine - INFO - Epoch(train) [43][550/586] lr: 5.000000e-04 eta: 11:37:18 time: 0.445841 data_time: 0.035265 memory: 14278 loss_kpt: 0.000654 acc_pose: 0.847296 loss: 0.000654 2022/09/26 14:44:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:44:53 - mmengine - INFO - Epoch(train) [44][50/586] lr: 5.000000e-04 eta: 11:35:49 time: 0.464901 data_time: 0.036397 memory: 14278 loss_kpt: 0.000649 acc_pose: 0.832315 loss: 0.000649 2022/09/26 14:45:15 - mmengine - INFO - Epoch(train) [44][100/586] lr: 5.000000e-04 eta: 11:35:32 time: 0.452122 data_time: 0.030059 memory: 14278 loss_kpt: 0.000636 acc_pose: 0.814453 loss: 0.000636 2022/09/26 14:45:39 - mmengine - INFO - Epoch(train) [44][150/586] lr: 5.000000e-04 eta: 11:35:18 time: 0.463343 data_time: 0.033475 memory: 14278 loss_kpt: 0.000643 acc_pose: 0.757941 loss: 0.000643 2022/09/26 14:46:00 - mmengine - INFO - Epoch(train) [44][200/586] lr: 5.000000e-04 eta: 11:34:58 time: 0.435804 data_time: 0.038277 memory: 14278 loss_kpt: 0.000635 acc_pose: 0.764795 loss: 0.000635 2022/09/26 14:46:22 - mmengine - INFO - Epoch(train) [44][250/586] lr: 5.000000e-04 eta: 11:34:39 time: 0.438448 data_time: 0.033064 memory: 14278 loss_kpt: 0.000639 acc_pose: 0.844866 loss: 0.000639 2022/09/26 14:46:44 - mmengine - INFO - Epoch(train) [44][300/586] lr: 5.000000e-04 eta: 11:34:21 time: 0.442011 data_time: 0.030731 memory: 14278 loss_kpt: 0.000640 acc_pose: 0.810755 loss: 0.000640 2022/09/26 14:47:07 - mmengine - INFO - Epoch(train) [44][350/586] lr: 5.000000e-04 eta: 11:34:05 time: 0.456944 data_time: 0.033183 memory: 14278 loss_kpt: 0.000634 acc_pose: 0.875015 loss: 0.000634 2022/09/26 14:47:29 - mmengine - INFO - Epoch(train) [44][400/586] lr: 5.000000e-04 eta: 11:33:47 time: 0.442274 data_time: 0.031335 memory: 14278 loss_kpt: 0.000636 acc_pose: 0.862784 loss: 0.000636 2022/09/26 14:47:52 - mmengine - INFO - Epoch(train) [44][450/586] lr: 5.000000e-04 eta: 11:33:31 time: 0.458030 data_time: 0.031307 memory: 14278 loss_kpt: 0.000642 acc_pose: 0.856635 loss: 0.000642 2022/09/26 14:48:15 - mmengine - INFO - Epoch(train) [44][500/586] lr: 5.000000e-04 eta: 11:33:14 time: 0.446680 data_time: 0.035908 memory: 14278 loss_kpt: 0.000645 acc_pose: 0.819936 loss: 0.000645 2022/09/26 14:48:37 - mmengine - INFO - Epoch(train) [44][550/586] lr: 5.000000e-04 eta: 11:32:55 time: 0.441045 data_time: 0.032252 memory: 14278 loss_kpt: 0.000642 acc_pose: 0.842255 loss: 0.000642 2022/09/26 14:48:53 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:49:16 - mmengine - INFO - Epoch(train) [45][50/586] lr: 5.000000e-04 eta: 11:31:24 time: 0.450401 data_time: 0.038202 memory: 14278 loss_kpt: 0.000632 acc_pose: 0.885142 loss: 0.000632 2022/09/26 14:49:40 - mmengine - INFO - Epoch(train) [45][100/586] lr: 5.000000e-04 eta: 11:31:13 time: 0.478131 data_time: 0.035734 memory: 14278 loss_kpt: 0.000645 acc_pose: 0.877911 loss: 0.000645 2022/09/26 14:50:01 - mmengine - INFO - Epoch(train) [45][150/586] lr: 5.000000e-04 eta: 11:30:52 time: 0.431362 data_time: 0.031366 memory: 14278 loss_kpt: 0.000629 acc_pose: 0.831278 loss: 0.000629 2022/09/26 14:50:24 - mmengine - INFO - Epoch(train) [45][200/586] lr: 5.000000e-04 eta: 11:30:36 time: 0.451799 data_time: 0.033863 memory: 14278 loss_kpt: 0.000631 acc_pose: 0.784468 loss: 0.000631 2022/09/26 14:50:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:50:47 - mmengine - INFO - Epoch(train) [45][250/586] lr: 5.000000e-04 eta: 11:30:20 time: 0.455828 data_time: 0.033628 memory: 14278 loss_kpt: 0.000651 acc_pose: 0.779725 loss: 0.000651 2022/09/26 14:51:09 - mmengine - INFO - Epoch(train) [45][300/586] lr: 5.000000e-04 eta: 11:30:02 time: 0.448029 data_time: 0.032398 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.842656 loss: 0.000637 2022/09/26 14:51:33 - mmengine - INFO - Epoch(train) [45][350/586] lr: 5.000000e-04 eta: 11:29:48 time: 0.466822 data_time: 0.044274 memory: 14278 loss_kpt: 0.000632 acc_pose: 0.793460 loss: 0.000632 2022/09/26 14:51:54 - mmengine - INFO - Epoch(train) [45][400/586] lr: 5.000000e-04 eta: 11:29:29 time: 0.437639 data_time: 0.029295 memory: 14278 loss_kpt: 0.000647 acc_pose: 0.787549 loss: 0.000647 2022/09/26 14:52:17 - mmengine - INFO - Epoch(train) [45][450/586] lr: 5.000000e-04 eta: 11:29:11 time: 0.446944 data_time: 0.030556 memory: 14278 loss_kpt: 0.000653 acc_pose: 0.816040 loss: 0.000653 2022/09/26 14:52:39 - mmengine - INFO - Epoch(train) [45][500/586] lr: 5.000000e-04 eta: 11:28:55 time: 0.453018 data_time: 0.034222 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.868316 loss: 0.000613 2022/09/26 14:53:02 - mmengine - INFO - Epoch(train) [45][550/586] lr: 5.000000e-04 eta: 11:28:37 time: 0.446123 data_time: 0.030807 memory: 14278 loss_kpt: 0.000660 acc_pose: 0.868501 loss: 0.000660 2022/09/26 14:53:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:53:41 - mmengine - INFO - Epoch(train) [46][50/586] lr: 5.000000e-04 eta: 11:27:09 time: 0.457471 data_time: 0.042697 memory: 14278 loss_kpt: 0.000664 acc_pose: 0.843060 loss: 0.000664 2022/09/26 14:54:04 - mmengine - INFO - Epoch(train) [46][100/586] lr: 5.000000e-04 eta: 11:26:54 time: 0.461429 data_time: 0.033462 memory: 14278 loss_kpt: 0.000624 acc_pose: 0.836692 loss: 0.000624 2022/09/26 14:54:26 - mmengine - INFO - Epoch(train) [46][150/586] lr: 5.000000e-04 eta: 11:26:36 time: 0.444569 data_time: 0.029041 memory: 14278 loss_kpt: 0.000632 acc_pose: 0.827347 loss: 0.000632 2022/09/26 14:54:48 - mmengine - INFO - Epoch(train) [46][200/586] lr: 5.000000e-04 eta: 11:26:18 time: 0.442857 data_time: 0.031200 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.781907 loss: 0.000637 2022/09/26 14:55:12 - mmengine - INFO - Epoch(train) [46][250/586] lr: 5.000000e-04 eta: 11:26:05 time: 0.474514 data_time: 0.031677 memory: 14278 loss_kpt: 0.000639 acc_pose: 0.808978 loss: 0.000639 2022/09/26 14:55:34 - mmengine - INFO - Epoch(train) [46][300/586] lr: 5.000000e-04 eta: 11:25:48 time: 0.449712 data_time: 0.031865 memory: 14278 loss_kpt: 0.000640 acc_pose: 0.863538 loss: 0.000640 2022/09/26 14:55:57 - mmengine - INFO - Epoch(train) [46][350/586] lr: 5.000000e-04 eta: 11:25:32 time: 0.455267 data_time: 0.032811 memory: 14278 loss_kpt: 0.000638 acc_pose: 0.806156 loss: 0.000638 2022/09/26 14:56:20 - mmengine - INFO - Epoch(train) [46][400/586] lr: 5.000000e-04 eta: 11:25:15 time: 0.451959 data_time: 0.030935 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.823325 loss: 0.000637 2022/09/26 14:56:42 - mmengine - INFO - Epoch(train) [46][450/586] lr: 5.000000e-04 eta: 11:24:57 time: 0.445628 data_time: 0.035783 memory: 14278 loss_kpt: 0.000621 acc_pose: 0.799292 loss: 0.000621 2022/09/26 14:57:05 - mmengine - INFO - Epoch(train) [46][500/586] lr: 5.000000e-04 eta: 11:24:41 time: 0.456482 data_time: 0.033620 memory: 14278 loss_kpt: 0.000630 acc_pose: 0.814062 loss: 0.000630 2022/09/26 14:57:27 - mmengine - INFO - Epoch(train) [46][550/586] lr: 5.000000e-04 eta: 11:24:22 time: 0.442181 data_time: 0.033599 memory: 14278 loss_kpt: 0.000657 acc_pose: 0.781257 loss: 0.000657 2022/09/26 14:57:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:58:03 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 14:58:05 - mmengine - INFO - Epoch(train) [47][50/586] lr: 5.000000e-04 eta: 11:22:55 time: 0.452593 data_time: 0.041001 memory: 14278 loss_kpt: 0.000646 acc_pose: 0.803286 loss: 0.000646 2022/09/26 14:58:28 - mmengine - INFO - Epoch(train) [47][100/586] lr: 5.000000e-04 eta: 11:22:40 time: 0.460769 data_time: 0.033623 memory: 14278 loss_kpt: 0.000639 acc_pose: 0.850412 loss: 0.000639 2022/09/26 14:58:52 - mmengine - INFO - Epoch(train) [47][150/586] lr: 5.000000e-04 eta: 11:22:27 time: 0.470751 data_time: 0.030707 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.835655 loss: 0.000607 2022/09/26 14:59:14 - mmengine - INFO - Epoch(train) [47][200/586] lr: 5.000000e-04 eta: 11:22:07 time: 0.437715 data_time: 0.033052 memory: 14278 loss_kpt: 0.000628 acc_pose: 0.812645 loss: 0.000628 2022/09/26 14:59:36 - mmengine - INFO - Epoch(train) [47][250/586] lr: 5.000000e-04 eta: 11:21:50 time: 0.448669 data_time: 0.029592 memory: 14278 loss_kpt: 0.000640 acc_pose: 0.760179 loss: 0.000640 2022/09/26 14:59:59 - mmengine - INFO - Epoch(train) [47][300/586] lr: 5.000000e-04 eta: 11:21:34 time: 0.458824 data_time: 0.032764 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.670532 loss: 0.000637 2022/09/26 15:00:22 - mmengine - INFO - Epoch(train) [47][350/586] lr: 5.000000e-04 eta: 11:21:17 time: 0.451525 data_time: 0.032178 memory: 14278 loss_kpt: 0.000631 acc_pose: 0.758501 loss: 0.000631 2022/09/26 15:00:44 - mmengine - INFO - Epoch(train) [47][400/586] lr: 5.000000e-04 eta: 11:20:59 time: 0.448047 data_time: 0.040949 memory: 14278 loss_kpt: 0.000636 acc_pose: 0.769469 loss: 0.000636 2022/09/26 15:01:07 - mmengine - INFO - Epoch(train) [47][450/586] lr: 5.000000e-04 eta: 11:20:42 time: 0.450176 data_time: 0.033049 memory: 14278 loss_kpt: 0.000614 acc_pose: 0.763277 loss: 0.000614 2022/09/26 15:01:29 - mmengine - INFO - Epoch(train) [47][500/586] lr: 5.000000e-04 eta: 11:20:23 time: 0.440728 data_time: 0.029521 memory: 14278 loss_kpt: 0.000655 acc_pose: 0.825116 loss: 0.000655 2022/09/26 15:01:52 - mmengine - INFO - Epoch(train) [47][550/586] lr: 5.000000e-04 eta: 11:20:08 time: 0.463072 data_time: 0.028560 memory: 14278 loss_kpt: 0.000631 acc_pose: 0.811888 loss: 0.000631 2022/09/26 15:02:09 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:02:32 - mmengine - INFO - Epoch(train) [48][50/586] lr: 5.000000e-04 eta: 11:18:46 time: 0.471136 data_time: 0.044154 memory: 14278 loss_kpt: 0.000628 acc_pose: 0.768936 loss: 0.000628 2022/09/26 15:02:56 - mmengine - INFO - Epoch(train) [48][100/586] lr: 5.000000e-04 eta: 11:18:31 time: 0.464552 data_time: 0.039844 memory: 14278 loss_kpt: 0.000622 acc_pose: 0.786024 loss: 0.000622 2022/09/26 15:03:18 - mmengine - INFO - Epoch(train) [48][150/586] lr: 5.000000e-04 eta: 11:18:14 time: 0.450719 data_time: 0.032708 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.816910 loss: 0.000637 2022/09/26 15:03:41 - mmengine - INFO - Epoch(train) [48][200/586] lr: 5.000000e-04 eta: 11:17:57 time: 0.451404 data_time: 0.028566 memory: 14278 loss_kpt: 0.000643 acc_pose: 0.793139 loss: 0.000643 2022/09/26 15:04:04 - mmengine - INFO - Epoch(train) [48][250/586] lr: 5.000000e-04 eta: 11:17:40 time: 0.456826 data_time: 0.031247 memory: 14278 loss_kpt: 0.000635 acc_pose: 0.718492 loss: 0.000635 2022/09/26 15:04:27 - mmengine - INFO - Epoch(train) [48][300/586] lr: 5.000000e-04 eta: 11:17:26 time: 0.468585 data_time: 0.029934 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.883900 loss: 0.000603 2022/09/26 15:04:49 - mmengine - INFO - Epoch(train) [48][350/586] lr: 5.000000e-04 eta: 11:17:08 time: 0.443742 data_time: 0.030777 memory: 14278 loss_kpt: 0.000618 acc_pose: 0.765302 loss: 0.000618 2022/09/26 15:05:11 - mmengine - INFO - Epoch(train) [48][400/586] lr: 5.000000e-04 eta: 11:16:47 time: 0.429766 data_time: 0.029834 memory: 14278 loss_kpt: 0.000624 acc_pose: 0.841994 loss: 0.000624 2022/09/26 15:05:33 - mmengine - INFO - Epoch(train) [48][450/586] lr: 5.000000e-04 eta: 11:16:30 time: 0.452311 data_time: 0.030618 memory: 14278 loss_kpt: 0.000651 acc_pose: 0.807255 loss: 0.000651 2022/09/26 15:05:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:05:55 - mmengine - INFO - Epoch(train) [48][500/586] lr: 5.000000e-04 eta: 11:16:11 time: 0.441940 data_time: 0.030751 memory: 14278 loss_kpt: 0.000658 acc_pose: 0.834585 loss: 0.000658 2022/09/26 15:06:18 - mmengine - INFO - Epoch(train) [48][550/586] lr: 5.000000e-04 eta: 11:15:54 time: 0.451192 data_time: 0.029400 memory: 14278 loss_kpt: 0.000627 acc_pose: 0.811948 loss: 0.000627 2022/09/26 15:06:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:06:57 - mmengine - INFO - Epoch(train) [49][50/586] lr: 5.000000e-04 eta: 11:14:31 time: 0.462820 data_time: 0.038648 memory: 14278 loss_kpt: 0.000627 acc_pose: 0.839562 loss: 0.000627 2022/09/26 15:07:19 - mmengine - INFO - Epoch(train) [49][100/586] lr: 5.000000e-04 eta: 11:14:12 time: 0.438698 data_time: 0.029570 memory: 14278 loss_kpt: 0.000640 acc_pose: 0.825643 loss: 0.000640 2022/09/26 15:07:41 - mmengine - INFO - Epoch(train) [49][150/586] lr: 5.000000e-04 eta: 11:13:53 time: 0.443350 data_time: 0.031858 memory: 14278 loss_kpt: 0.000642 acc_pose: 0.742870 loss: 0.000642 2022/09/26 15:08:04 - mmengine - INFO - Epoch(train) [49][200/586] lr: 5.000000e-04 eta: 11:13:36 time: 0.450284 data_time: 0.030483 memory: 14278 loss_kpt: 0.000624 acc_pose: 0.863465 loss: 0.000624 2022/09/26 15:08:27 - mmengine - INFO - Epoch(train) [49][250/586] lr: 5.000000e-04 eta: 11:13:20 time: 0.457601 data_time: 0.031289 memory: 14278 loss_kpt: 0.000644 acc_pose: 0.799868 loss: 0.000644 2022/09/26 15:08:49 - mmengine - INFO - Epoch(train) [49][300/586] lr: 5.000000e-04 eta: 11:13:01 time: 0.441576 data_time: 0.032841 memory: 14278 loss_kpt: 0.000640 acc_pose: 0.756217 loss: 0.000640 2022/09/26 15:09:12 - mmengine - INFO - Epoch(train) [49][350/586] lr: 5.000000e-04 eta: 11:12:45 time: 0.457567 data_time: 0.031299 memory: 14278 loss_kpt: 0.000635 acc_pose: 0.817536 loss: 0.000635 2022/09/26 15:09:34 - mmengine - INFO - Epoch(train) [49][400/586] lr: 5.000000e-04 eta: 11:12:26 time: 0.441024 data_time: 0.030311 memory: 14278 loss_kpt: 0.000630 acc_pose: 0.857418 loss: 0.000630 2022/09/26 15:09:57 - mmengine - INFO - Epoch(train) [49][450/586] lr: 5.000000e-04 eta: 11:12:11 time: 0.468484 data_time: 0.032623 memory: 14278 loss_kpt: 0.000626 acc_pose: 0.884961 loss: 0.000626 2022/09/26 15:10:19 - mmengine - INFO - Epoch(train) [49][500/586] lr: 5.000000e-04 eta: 11:11:51 time: 0.434418 data_time: 0.035521 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.810698 loss: 0.000637 2022/09/26 15:10:41 - mmengine - INFO - Epoch(train) [49][550/586] lr: 5.000000e-04 eta: 11:11:32 time: 0.438044 data_time: 0.030706 memory: 14278 loss_kpt: 0.000634 acc_pose: 0.854712 loss: 0.000634 2022/09/26 15:10:56 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:11:20 - mmengine - INFO - Epoch(train) [50][50/586] lr: 5.000000e-04 eta: 11:10:12 time: 0.471057 data_time: 0.043926 memory: 14278 loss_kpt: 0.000653 acc_pose: 0.845627 loss: 0.000653 2022/09/26 15:11:42 - mmengine - INFO - Epoch(train) [50][100/586] lr: 5.000000e-04 eta: 11:09:54 time: 0.447618 data_time: 0.030651 memory: 14278 loss_kpt: 0.000629 acc_pose: 0.801564 loss: 0.000629 2022/09/26 15:12:05 - mmengine - INFO - Epoch(train) [50][150/586] lr: 5.000000e-04 eta: 11:09:36 time: 0.443982 data_time: 0.031874 memory: 14278 loss_kpt: 0.000631 acc_pose: 0.791950 loss: 0.000631 2022/09/26 15:12:28 - mmengine - INFO - Epoch(train) [50][200/586] lr: 5.000000e-04 eta: 11:09:20 time: 0.458615 data_time: 0.040688 memory: 14278 loss_kpt: 0.000623 acc_pose: 0.834777 loss: 0.000623 2022/09/26 15:12:49 - mmengine - INFO - Epoch(train) [50][250/586] lr: 5.000000e-04 eta: 11:08:59 time: 0.434014 data_time: 0.032672 memory: 14278 loss_kpt: 0.000645 acc_pose: 0.717145 loss: 0.000645 2022/09/26 15:13:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:13:11 - mmengine - INFO - Epoch(train) [50][300/586] lr: 5.000000e-04 eta: 11:08:40 time: 0.439554 data_time: 0.035253 memory: 14278 loss_kpt: 0.000624 acc_pose: 0.839299 loss: 0.000624 2022/09/26 15:13:34 - mmengine - INFO - Epoch(train) [50][350/586] lr: 5.000000e-04 eta: 11:08:25 time: 0.464693 data_time: 0.032920 memory: 14278 loss_kpt: 0.000632 acc_pose: 0.835829 loss: 0.000632 2022/09/26 15:13:57 - mmengine - INFO - Epoch(train) [50][400/586] lr: 5.000000e-04 eta: 11:08:09 time: 0.457407 data_time: 0.037510 memory: 14278 loss_kpt: 0.000626 acc_pose: 0.753645 loss: 0.000626 2022/09/26 15:14:19 - mmengine - INFO - Epoch(train) [50][450/586] lr: 5.000000e-04 eta: 11:07:49 time: 0.434112 data_time: 0.030506 memory: 14278 loss_kpt: 0.000646 acc_pose: 0.829124 loss: 0.000646 2022/09/26 15:14:42 - mmengine - INFO - Epoch(train) [50][500/586] lr: 5.000000e-04 eta: 11:07:32 time: 0.456360 data_time: 0.031442 memory: 14278 loss_kpt: 0.000616 acc_pose: 0.790233 loss: 0.000616 2022/09/26 15:15:04 - mmengine - INFO - Epoch(train) [50][550/586] lr: 5.000000e-04 eta: 11:07:12 time: 0.434788 data_time: 0.029219 memory: 14278 loss_kpt: 0.000632 acc_pose: 0.826129 loss: 0.000632 2022/09/26 15:15:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:15:20 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/09/26 15:15:48 - mmengine - INFO - Epoch(val) [50][50/407] eta: 0:02:09 time: 0.362073 data_time: 0.110545 memory: 14278 2022/09/26 15:16:05 - mmengine - INFO - Epoch(val) [50][100/407] eta: 0:01:40 time: 0.328494 data_time: 0.089514 memory: 2124 2022/09/26 15:16:22 - mmengine - INFO - Epoch(val) [50][150/407] eta: 0:01:29 time: 0.346710 data_time: 0.081715 memory: 2124 2022/09/26 15:16:39 - mmengine - INFO - Epoch(val) [50][200/407] eta: 0:01:08 time: 0.330404 data_time: 0.097752 memory: 2124 2022/09/26 15:16:56 - mmengine - INFO - Epoch(val) [50][250/407] eta: 0:00:53 time: 0.341938 data_time: 0.101283 memory: 2124 2022/09/26 15:17:12 - mmengine - INFO - Epoch(val) [50][300/407] eta: 0:00:35 time: 0.333761 data_time: 0.099300 memory: 2124 2022/09/26 15:17:30 - mmengine - INFO - Epoch(val) [50][350/407] eta: 0:00:19 time: 0.349432 data_time: 0.092912 memory: 2124 2022/09/26 15:17:41 - mmengine - INFO - Epoch(val) [50][400/407] eta: 0:00:01 time: 0.218207 data_time: 0.055225 memory: 2124 2022/09/26 15:18:14 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 15:18:26 - mmengine - INFO - Epoch(val) [50][407/407] coco/AP: 0.726973 coco/AP .5: 0.896522 coco/AP .75: 0.799872 coco/AP (M): 0.689057 coco/AP (L): 0.794619 coco/AR: 0.780038 coco/AR .5: 0.932462 coco/AR .75: 0.846190 coco/AR (M): 0.737531 coco/AR (L): 0.842326 2022/09/26 15:18:27 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_40.pth is removed 2022/09/26 15:18:30 - mmengine - INFO - The best checkpoint with 0.7270 coco/AP at 50 epoch is saved to best_coco/AP_epoch_50.pth. 2022/09/26 15:18:54 - mmengine - INFO - Epoch(train) [51][50/586] lr: 5.000000e-04 eta: 11:05:52 time: 0.466022 data_time: 0.041265 memory: 14278 loss_kpt: 0.000643 acc_pose: 0.886179 loss: 0.000643 2022/09/26 15:19:17 - mmengine - INFO - Epoch(train) [51][100/586] lr: 5.000000e-04 eta: 11:05:36 time: 0.459667 data_time: 0.041683 memory: 14278 loss_kpt: 0.000628 acc_pose: 0.863186 loss: 0.000628 2022/09/26 15:19:39 - mmengine - INFO - Epoch(train) [51][150/586] lr: 5.000000e-04 eta: 11:05:17 time: 0.436377 data_time: 0.031091 memory: 14278 loss_kpt: 0.000618 acc_pose: 0.810236 loss: 0.000618 2022/09/26 15:20:02 - mmengine - INFO - Epoch(train) [51][200/586] lr: 5.000000e-04 eta: 11:05:00 time: 0.458560 data_time: 0.034698 memory: 14278 loss_kpt: 0.000649 acc_pose: 0.847149 loss: 0.000649 2022/09/26 15:20:24 - mmengine - INFO - Epoch(train) [51][250/586] lr: 5.000000e-04 eta: 11:04:43 time: 0.451976 data_time: 0.031497 memory: 14278 loss_kpt: 0.000636 acc_pose: 0.808792 loss: 0.000636 2022/09/26 15:20:46 - mmengine - INFO - Epoch(train) [51][300/586] lr: 5.000000e-04 eta: 11:04:25 time: 0.443691 data_time: 0.034032 memory: 14278 loss_kpt: 0.000623 acc_pose: 0.899962 loss: 0.000623 2022/09/26 15:21:10 - mmengine - INFO - Epoch(train) [51][350/586] lr: 5.000000e-04 eta: 11:04:11 time: 0.475740 data_time: 0.042232 memory: 14278 loss_kpt: 0.000631 acc_pose: 0.860974 loss: 0.000631 2022/09/26 15:21:32 - mmengine - INFO - Epoch(train) [51][400/586] lr: 5.000000e-04 eta: 11:03:51 time: 0.435776 data_time: 0.035812 memory: 14278 loss_kpt: 0.000651 acc_pose: 0.858530 loss: 0.000651 2022/09/26 15:21:55 - mmengine - INFO - Epoch(train) [51][450/586] lr: 5.000000e-04 eta: 11:03:34 time: 0.456544 data_time: 0.037171 memory: 14278 loss_kpt: 0.000641 acc_pose: 0.790083 loss: 0.000641 2022/09/26 15:22:17 - mmengine - INFO - Epoch(train) [51][500/586] lr: 5.000000e-04 eta: 11:03:17 time: 0.452320 data_time: 0.031494 memory: 14278 loss_kpt: 0.000606 acc_pose: 0.790416 loss: 0.000606 2022/09/26 15:22:40 - mmengine - INFO - Epoch(train) [51][550/586] lr: 5.000000e-04 eta: 11:02:59 time: 0.447563 data_time: 0.033121 memory: 14278 loss_kpt: 0.000642 acc_pose: 0.818855 loss: 0.000642 2022/09/26 15:22:56 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:23:19 - mmengine - INFO - Epoch(train) [52][50/586] lr: 5.000000e-04 eta: 11:01:40 time: 0.462421 data_time: 0.042300 memory: 14278 loss_kpt: 0.000627 acc_pose: 0.841668 loss: 0.000627 2022/09/26 15:23:42 - mmengine - INFO - Epoch(train) [52][100/586] lr: 5.000000e-04 eta: 11:01:23 time: 0.456091 data_time: 0.033194 memory: 14278 loss_kpt: 0.000636 acc_pose: 0.819342 loss: 0.000636 2022/09/26 15:23:48 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:24:04 - mmengine - INFO - Epoch(train) [52][150/586] lr: 5.000000e-04 eta: 11:01:06 time: 0.451163 data_time: 0.033315 memory: 14278 loss_kpt: 0.000627 acc_pose: 0.838341 loss: 0.000627 2022/09/26 15:24:26 - mmengine - INFO - Epoch(train) [52][200/586] lr: 5.000000e-04 eta: 11:00:46 time: 0.438129 data_time: 0.029280 memory: 14278 loss_kpt: 0.000617 acc_pose: 0.781450 loss: 0.000617 2022/09/26 15:24:50 - mmengine - INFO - Epoch(train) [52][250/586] lr: 5.000000e-04 eta: 11:00:33 time: 0.475642 data_time: 0.032185 memory: 14278 loss_kpt: 0.000625 acc_pose: 0.860861 loss: 0.000625 2022/09/26 15:25:13 - mmengine - INFO - Epoch(train) [52][300/586] lr: 5.000000e-04 eta: 11:00:17 time: 0.464148 data_time: 0.031404 memory: 14278 loss_kpt: 0.000634 acc_pose: 0.801129 loss: 0.000634 2022/09/26 15:25:37 - mmengine - INFO - Epoch(train) [52][350/586] lr: 5.000000e-04 eta: 11:00:01 time: 0.463017 data_time: 0.035866 memory: 14278 loss_kpt: 0.000629 acc_pose: 0.842994 loss: 0.000629 2022/09/26 15:26:00 - mmengine - INFO - Epoch(train) [52][400/586] lr: 5.000000e-04 eta: 10:59:45 time: 0.462129 data_time: 0.031171 memory: 14278 loss_kpt: 0.000633 acc_pose: 0.771003 loss: 0.000633 2022/09/26 15:26:22 - mmengine - INFO - Epoch(train) [52][450/586] lr: 5.000000e-04 eta: 10:59:27 time: 0.448610 data_time: 0.033331 memory: 14278 loss_kpt: 0.000646 acc_pose: 0.860074 loss: 0.000646 2022/09/26 15:26:44 - mmengine - INFO - Epoch(train) [52][500/586] lr: 5.000000e-04 eta: 10:59:09 time: 0.444768 data_time: 0.038589 memory: 14278 loss_kpt: 0.000614 acc_pose: 0.868960 loss: 0.000614 2022/09/26 15:27:07 - mmengine - INFO - Epoch(train) [52][550/586] lr: 5.000000e-04 eta: 10:58:51 time: 0.446578 data_time: 0.032321 memory: 14278 loss_kpt: 0.000622 acc_pose: 0.872375 loss: 0.000622 2022/09/26 15:27:22 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:27:45 - mmengine - INFO - Epoch(train) [53][50/586] lr: 5.000000e-04 eta: 10:57:32 time: 0.458500 data_time: 0.040080 memory: 14278 loss_kpt: 0.000626 acc_pose: 0.758601 loss: 0.000626 2022/09/26 15:28:08 - mmengine - INFO - Epoch(train) [53][100/586] lr: 5.000000e-04 eta: 10:57:14 time: 0.445916 data_time: 0.031524 memory: 14278 loss_kpt: 0.000625 acc_pose: 0.812371 loss: 0.000625 2022/09/26 15:28:30 - mmengine - INFO - Epoch(train) [53][150/586] lr: 5.000000e-04 eta: 10:56:55 time: 0.441296 data_time: 0.031809 memory: 14278 loss_kpt: 0.000630 acc_pose: 0.833852 loss: 0.000630 2022/09/26 15:28:52 - mmengine - INFO - Epoch(train) [53][200/586] lr: 5.000000e-04 eta: 10:56:37 time: 0.449948 data_time: 0.031148 memory: 14278 loss_kpt: 0.000612 acc_pose: 0.788996 loss: 0.000612 2022/09/26 15:29:14 - mmengine - INFO - Epoch(train) [53][250/586] lr: 5.000000e-04 eta: 10:56:17 time: 0.434718 data_time: 0.030414 memory: 14278 loss_kpt: 0.000605 acc_pose: 0.886065 loss: 0.000605 2022/09/26 15:29:37 - mmengine - INFO - Epoch(train) [53][300/586] lr: 5.000000e-04 eta: 10:56:01 time: 0.462277 data_time: 0.030456 memory: 14278 loss_kpt: 0.000620 acc_pose: 0.823615 loss: 0.000620 2022/09/26 15:30:00 - mmengine - INFO - Epoch(train) [53][350/586] lr: 5.000000e-04 eta: 10:55:44 time: 0.459590 data_time: 0.031021 memory: 14278 loss_kpt: 0.000606 acc_pose: 0.840755 loss: 0.000606 2022/09/26 15:30:22 - mmengine - INFO - Epoch(train) [53][400/586] lr: 5.000000e-04 eta: 10:55:26 time: 0.443784 data_time: 0.036310 memory: 14278 loss_kpt: 0.000610 acc_pose: 0.768493 loss: 0.000610 2022/09/26 15:30:44 - mmengine - INFO - Epoch(train) [53][450/586] lr: 5.000000e-04 eta: 10:55:06 time: 0.438043 data_time: 0.031736 memory: 14278 loss_kpt: 0.000621 acc_pose: 0.822873 loss: 0.000621 2022/09/26 15:31:07 - mmengine - INFO - Epoch(train) [53][500/586] lr: 5.000000e-04 eta: 10:54:49 time: 0.455327 data_time: 0.029835 memory: 14278 loss_kpt: 0.000624 acc_pose: 0.874738 loss: 0.000624 2022/09/26 15:31:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:31:30 - mmengine - INFO - Epoch(train) [53][550/586] lr: 5.000000e-04 eta: 10:54:32 time: 0.452650 data_time: 0.031826 memory: 14278 loss_kpt: 0.000623 acc_pose: 0.795540 loss: 0.000623 2022/09/26 15:31:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:32:08 - mmengine - INFO - Epoch(train) [54][50/586] lr: 5.000000e-04 eta: 10:53:14 time: 0.457770 data_time: 0.044756 memory: 14278 loss_kpt: 0.000630 acc_pose: 0.838909 loss: 0.000630 2022/09/26 15:32:30 - mmengine - INFO - Epoch(train) [54][100/586] lr: 5.000000e-04 eta: 10:52:55 time: 0.442983 data_time: 0.028786 memory: 14278 loss_kpt: 0.000625 acc_pose: 0.825774 loss: 0.000625 2022/09/26 15:32:53 - mmengine - INFO - Epoch(train) [54][150/586] lr: 5.000000e-04 eta: 10:52:38 time: 0.456481 data_time: 0.031471 memory: 14278 loss_kpt: 0.000650 acc_pose: 0.786049 loss: 0.000650 2022/09/26 15:33:16 - mmengine - INFO - Epoch(train) [54][200/586] lr: 5.000000e-04 eta: 10:52:22 time: 0.456968 data_time: 0.030964 memory: 14278 loss_kpt: 0.000621 acc_pose: 0.803602 loss: 0.000621 2022/09/26 15:33:38 - mmengine - INFO - Epoch(train) [54][250/586] lr: 5.000000e-04 eta: 10:52:03 time: 0.444416 data_time: 0.032951 memory: 14278 loss_kpt: 0.000617 acc_pose: 0.823137 loss: 0.000617 2022/09/26 15:34:00 - mmengine - INFO - Epoch(train) [54][300/586] lr: 5.000000e-04 eta: 10:51:44 time: 0.440651 data_time: 0.028949 memory: 14278 loss_kpt: 0.000627 acc_pose: 0.860361 loss: 0.000627 2022/09/26 15:34:24 - mmengine - INFO - Epoch(train) [54][350/586] lr: 5.000000e-04 eta: 10:51:29 time: 0.473898 data_time: 0.035725 memory: 14278 loss_kpt: 0.000634 acc_pose: 0.816000 loss: 0.000634 2022/09/26 15:34:47 - mmengine - INFO - Epoch(train) [54][400/586] lr: 5.000000e-04 eta: 10:51:12 time: 0.458059 data_time: 0.035328 memory: 14278 loss_kpt: 0.000622 acc_pose: 0.810961 loss: 0.000622 2022/09/26 15:35:09 - mmengine - INFO - Epoch(train) [54][450/586] lr: 5.000000e-04 eta: 10:50:53 time: 0.435983 data_time: 0.031707 memory: 14278 loss_kpt: 0.000621 acc_pose: 0.823907 loss: 0.000621 2022/09/26 15:35:31 - mmengine - INFO - Epoch(train) [54][500/586] lr: 5.000000e-04 eta: 10:50:33 time: 0.441166 data_time: 0.033047 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.805034 loss: 0.000607 2022/09/26 15:35:54 - mmengine - INFO - Epoch(train) [54][550/586] lr: 5.000000e-04 eta: 10:50:18 time: 0.466011 data_time: 0.033247 memory: 14278 loss_kpt: 0.000619 acc_pose: 0.813061 loss: 0.000619 2022/09/26 15:36:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:36:32 - mmengine - INFO - Epoch(train) [55][50/586] lr: 5.000000e-04 eta: 10:48:59 time: 0.445212 data_time: 0.036675 memory: 14278 loss_kpt: 0.000600 acc_pose: 0.873834 loss: 0.000600 2022/09/26 15:36:54 - mmengine - INFO - Epoch(train) [55][100/586] lr: 5.000000e-04 eta: 10:48:40 time: 0.440215 data_time: 0.033270 memory: 14278 loss_kpt: 0.000633 acc_pose: 0.802507 loss: 0.000633 2022/09/26 15:37:16 - mmengine - INFO - Epoch(train) [55][150/586] lr: 5.000000e-04 eta: 10:48:20 time: 0.434303 data_time: 0.029897 memory: 14278 loss_kpt: 0.000616 acc_pose: 0.810516 loss: 0.000616 2022/09/26 15:37:38 - mmengine - INFO - Epoch(train) [55][200/586] lr: 5.000000e-04 eta: 10:48:01 time: 0.440124 data_time: 0.036987 memory: 14278 loss_kpt: 0.000633 acc_pose: 0.749453 loss: 0.000633 2022/09/26 15:38:01 - mmengine - INFO - Epoch(train) [55][250/586] lr: 5.000000e-04 eta: 10:47:43 time: 0.453635 data_time: 0.030072 memory: 14278 loss_kpt: 0.000630 acc_pose: 0.821107 loss: 0.000630 2022/09/26 15:38:23 - mmengine - INFO - Epoch(train) [55][300/586] lr: 5.000000e-04 eta: 10:47:24 time: 0.441378 data_time: 0.033094 memory: 14278 loss_kpt: 0.000632 acc_pose: 0.803118 loss: 0.000632 2022/09/26 15:38:45 - mmengine - INFO - Epoch(train) [55][350/586] lr: 5.000000e-04 eta: 10:47:04 time: 0.436932 data_time: 0.029351 memory: 14278 loss_kpt: 0.000634 acc_pose: 0.862202 loss: 0.000634 2022/09/26 15:38:47 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:39:08 - mmengine - INFO - Epoch(train) [55][400/586] lr: 5.000000e-04 eta: 10:46:49 time: 0.466722 data_time: 0.036731 memory: 14278 loss_kpt: 0.000610 acc_pose: 0.838370 loss: 0.000610 2022/09/26 15:39:30 - mmengine - INFO - Epoch(train) [55][450/586] lr: 5.000000e-04 eta: 10:46:30 time: 0.444526 data_time: 0.030268 memory: 14278 loss_kpt: 0.000628 acc_pose: 0.833144 loss: 0.000628 2022/09/26 15:39:52 - mmengine - INFO - Epoch(train) [55][500/586] lr: 5.000000e-04 eta: 10:46:11 time: 0.444486 data_time: 0.029813 memory: 14278 loss_kpt: 0.000621 acc_pose: 0.884548 loss: 0.000621 2022/09/26 15:40:14 - mmengine - INFO - Epoch(train) [55][550/586] lr: 5.000000e-04 eta: 10:45:51 time: 0.436045 data_time: 0.031922 memory: 14278 loss_kpt: 0.000619 acc_pose: 0.826682 loss: 0.000619 2022/09/26 15:40:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:40:53 - mmengine - INFO - Epoch(train) [56][50/586] lr: 5.000000e-04 eta: 10:44:36 time: 0.459989 data_time: 0.042449 memory: 14278 loss_kpt: 0.000601 acc_pose: 0.820081 loss: 0.000601 2022/09/26 15:41:14 - mmengine - INFO - Epoch(train) [56][100/586] lr: 5.000000e-04 eta: 10:44:16 time: 0.433597 data_time: 0.029749 memory: 14278 loss_kpt: 0.000623 acc_pose: 0.771304 loss: 0.000623 2022/09/26 15:41:37 - mmengine - INFO - Epoch(train) [56][150/586] lr: 5.000000e-04 eta: 10:43:58 time: 0.448614 data_time: 0.032471 memory: 14278 loss_kpt: 0.000628 acc_pose: 0.839131 loss: 0.000628 2022/09/26 15:41:58 - mmengine - INFO - Epoch(train) [56][200/586] lr: 5.000000e-04 eta: 10:43:36 time: 0.426413 data_time: 0.030263 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.826798 loss: 0.000613 2022/09/26 15:42:20 - mmengine - INFO - Epoch(train) [56][250/586] lr: 5.000000e-04 eta: 10:43:17 time: 0.438621 data_time: 0.030723 memory: 14278 loss_kpt: 0.000648 acc_pose: 0.850684 loss: 0.000648 2022/09/26 15:42:42 - mmengine - INFO - Epoch(train) [56][300/586] lr: 5.000000e-04 eta: 10:42:57 time: 0.434012 data_time: 0.029884 memory: 14278 loss_kpt: 0.000638 acc_pose: 0.889283 loss: 0.000638 2022/09/26 15:43:04 - mmengine - INFO - Epoch(train) [56][350/586] lr: 5.000000e-04 eta: 10:42:38 time: 0.447441 data_time: 0.032460 memory: 14278 loss_kpt: 0.000626 acc_pose: 0.862878 loss: 0.000626 2022/09/26 15:43:28 - mmengine - INFO - Epoch(train) [56][400/586] lr: 5.000000e-04 eta: 10:42:24 time: 0.475772 data_time: 0.032872 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.811201 loss: 0.000584 2022/09/26 15:43:50 - mmengine - INFO - Epoch(train) [56][450/586] lr: 5.000000e-04 eta: 10:42:04 time: 0.436056 data_time: 0.030838 memory: 14278 loss_kpt: 0.000619 acc_pose: 0.799330 loss: 0.000619 2022/09/26 15:44:12 - mmengine - INFO - Epoch(train) [56][500/586] lr: 5.000000e-04 eta: 10:41:46 time: 0.447684 data_time: 0.041290 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.770562 loss: 0.000637 2022/09/26 15:44:34 - mmengine - INFO - Epoch(train) [56][550/586] lr: 5.000000e-04 eta: 10:41:27 time: 0.447266 data_time: 0.031475 memory: 14278 loss_kpt: 0.000626 acc_pose: 0.862942 loss: 0.000626 2022/09/26 15:44:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:45:13 - mmengine - INFO - Epoch(train) [57][50/586] lr: 5.000000e-04 eta: 10:40:13 time: 0.458207 data_time: 0.044135 memory: 14278 loss_kpt: 0.000627 acc_pose: 0.894885 loss: 0.000627 2022/09/26 15:45:36 - mmengine - INFO - Epoch(train) [57][100/586] lr: 5.000000e-04 eta: 10:39:55 time: 0.449178 data_time: 0.031415 memory: 14278 loss_kpt: 0.000632 acc_pose: 0.775740 loss: 0.000632 2022/09/26 15:45:57 - mmengine - INFO - Epoch(train) [57][150/586] lr: 5.000000e-04 eta: 10:39:34 time: 0.433899 data_time: 0.029858 memory: 14278 loss_kpt: 0.000606 acc_pose: 0.870026 loss: 0.000606 2022/09/26 15:46:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:46:20 - mmengine - INFO - Epoch(train) [57][200/586] lr: 5.000000e-04 eta: 10:39:17 time: 0.455161 data_time: 0.032615 memory: 14278 loss_kpt: 0.000612 acc_pose: 0.831402 loss: 0.000612 2022/09/26 15:46:42 - mmengine - INFO - Epoch(train) [57][250/586] lr: 5.000000e-04 eta: 10:38:57 time: 0.435320 data_time: 0.029768 memory: 14278 loss_kpt: 0.000639 acc_pose: 0.895283 loss: 0.000639 2022/09/26 15:47:05 - mmengine - INFO - Epoch(train) [57][300/586] lr: 5.000000e-04 eta: 10:38:40 time: 0.460069 data_time: 0.030291 memory: 14278 loss_kpt: 0.000602 acc_pose: 0.841700 loss: 0.000602 2022/09/26 15:47:27 - mmengine - INFO - Epoch(train) [57][350/586] lr: 5.000000e-04 eta: 10:38:22 time: 0.449026 data_time: 0.029953 memory: 14278 loss_kpt: 0.000625 acc_pose: 0.852020 loss: 0.000625 2022/09/26 15:47:49 - mmengine - INFO - Epoch(train) [57][400/586] lr: 5.000000e-04 eta: 10:38:03 time: 0.439974 data_time: 0.029851 memory: 14278 loss_kpt: 0.000616 acc_pose: 0.779556 loss: 0.000616 2022/09/26 15:48:12 - mmengine - INFO - Epoch(train) [57][450/586] lr: 5.000000e-04 eta: 10:37:45 time: 0.451490 data_time: 0.028902 memory: 14278 loss_kpt: 0.000612 acc_pose: 0.822920 loss: 0.000612 2022/09/26 15:48:34 - mmengine - INFO - Epoch(train) [57][500/586] lr: 5.000000e-04 eta: 10:37:25 time: 0.434331 data_time: 0.030819 memory: 14278 loss_kpt: 0.000625 acc_pose: 0.815296 loss: 0.000625 2022/09/26 15:48:56 - mmengine - INFO - Epoch(train) [57][550/586] lr: 5.000000e-04 eta: 10:37:07 time: 0.451799 data_time: 0.036342 memory: 14278 loss_kpt: 0.000620 acc_pose: 0.844672 loss: 0.000620 2022/09/26 15:49:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:49:36 - mmengine - INFO - Epoch(train) [58][50/586] lr: 5.000000e-04 eta: 10:35:57 time: 0.485779 data_time: 0.039582 memory: 14278 loss_kpt: 0.000622 acc_pose: 0.812021 loss: 0.000622 2022/09/26 15:49:58 - mmengine - INFO - Epoch(train) [58][100/586] lr: 5.000000e-04 eta: 10:35:37 time: 0.437446 data_time: 0.030757 memory: 14278 loss_kpt: 0.000601 acc_pose: 0.805153 loss: 0.000601 2022/09/26 15:50:21 - mmengine - INFO - Epoch(train) [58][150/586] lr: 5.000000e-04 eta: 10:35:19 time: 0.448921 data_time: 0.047987 memory: 14278 loss_kpt: 0.000629 acc_pose: 0.854105 loss: 0.000629 2022/09/26 15:50:43 - mmengine - INFO - Epoch(train) [58][200/586] lr: 5.000000e-04 eta: 10:35:00 time: 0.440383 data_time: 0.041125 memory: 14278 loss_kpt: 0.000609 acc_pose: 0.821517 loss: 0.000609 2022/09/26 15:51:05 - mmengine - INFO - Epoch(train) [58][250/586] lr: 5.000000e-04 eta: 10:34:42 time: 0.452932 data_time: 0.029487 memory: 14278 loss_kpt: 0.000628 acc_pose: 0.813111 loss: 0.000628 2022/09/26 15:51:28 - mmengine - INFO - Epoch(train) [58][300/586] lr: 5.000000e-04 eta: 10:34:24 time: 0.448726 data_time: 0.029610 memory: 14278 loss_kpt: 0.000628 acc_pose: 0.847539 loss: 0.000628 2022/09/26 15:51:50 - mmengine - INFO - Epoch(train) [58][350/586] lr: 5.000000e-04 eta: 10:34:05 time: 0.445692 data_time: 0.032831 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.863723 loss: 0.000613 2022/09/26 15:52:13 - mmengine - INFO - Epoch(train) [58][400/586] lr: 5.000000e-04 eta: 10:33:48 time: 0.458376 data_time: 0.030793 memory: 14278 loss_kpt: 0.000612 acc_pose: 0.850173 loss: 0.000612 2022/09/26 15:52:36 - mmengine - INFO - Epoch(train) [58][450/586] lr: 5.000000e-04 eta: 10:33:31 time: 0.458875 data_time: 0.030982 memory: 14278 loss_kpt: 0.000614 acc_pose: 0.864262 loss: 0.000614 2022/09/26 15:52:58 - mmengine - INFO - Epoch(train) [58][500/586] lr: 5.000000e-04 eta: 10:33:12 time: 0.444870 data_time: 0.032840 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.886870 loss: 0.000613 2022/09/26 15:53:20 - mmengine - INFO - Epoch(train) [58][550/586] lr: 5.000000e-04 eta: 10:32:54 time: 0.446057 data_time: 0.033008 memory: 14278 loss_kpt: 0.000630 acc_pose: 0.853203 loss: 0.000630 2022/09/26 15:53:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:53:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:54:00 - mmengine - INFO - Epoch(train) [59][50/586] lr: 5.000000e-04 eta: 10:31:40 time: 0.453603 data_time: 0.045584 memory: 14278 loss_kpt: 0.000630 acc_pose: 0.776990 loss: 0.000630 2022/09/26 15:54:22 - mmengine - INFO - Epoch(train) [59][100/586] lr: 5.000000e-04 eta: 10:31:22 time: 0.446970 data_time: 0.036642 memory: 14278 loss_kpt: 0.000618 acc_pose: 0.890115 loss: 0.000618 2022/09/26 15:54:44 - mmengine - INFO - Epoch(train) [59][150/586] lr: 5.000000e-04 eta: 10:31:02 time: 0.439882 data_time: 0.031494 memory: 14278 loss_kpt: 0.000615 acc_pose: 0.829441 loss: 0.000615 2022/09/26 15:55:07 - mmengine - INFO - Epoch(train) [59][200/586] lr: 5.000000e-04 eta: 10:30:46 time: 0.461436 data_time: 0.030476 memory: 14278 loss_kpt: 0.000611 acc_pose: 0.826298 loss: 0.000611 2022/09/26 15:55:29 - mmengine - INFO - Epoch(train) [59][250/586] lr: 5.000000e-04 eta: 10:30:26 time: 0.438642 data_time: 0.031214 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.828537 loss: 0.000613 2022/09/26 15:55:51 - mmengine - INFO - Epoch(train) [59][300/586] lr: 5.000000e-04 eta: 10:30:06 time: 0.435006 data_time: 0.031338 memory: 14278 loss_kpt: 0.000616 acc_pose: 0.865059 loss: 0.000616 2022/09/26 15:56:13 - mmengine - INFO - Epoch(train) [59][350/586] lr: 5.000000e-04 eta: 10:29:47 time: 0.445003 data_time: 0.036937 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.826335 loss: 0.000603 2022/09/26 15:56:36 - mmengine - INFO - Epoch(train) [59][400/586] lr: 5.000000e-04 eta: 10:29:30 time: 0.456214 data_time: 0.032835 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.828581 loss: 0.000637 2022/09/26 15:56:57 - mmengine - INFO - Epoch(train) [59][450/586] lr: 5.000000e-04 eta: 10:29:09 time: 0.432659 data_time: 0.029369 memory: 14278 loss_kpt: 0.000625 acc_pose: 0.804748 loss: 0.000625 2022/09/26 15:57:20 - mmengine - INFO - Epoch(train) [59][500/586] lr: 5.000000e-04 eta: 10:28:50 time: 0.442154 data_time: 0.033712 memory: 14278 loss_kpt: 0.000614 acc_pose: 0.820356 loss: 0.000614 2022/09/26 15:57:43 - mmengine - INFO - Epoch(train) [59][550/586] lr: 5.000000e-04 eta: 10:28:35 time: 0.470595 data_time: 0.030857 memory: 14278 loss_kpt: 0.000624 acc_pose: 0.742529 loss: 0.000624 2022/09/26 15:57:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 15:58:22 - mmengine - INFO - Epoch(train) [60][50/586] lr: 5.000000e-04 eta: 10:27:22 time: 0.450685 data_time: 0.038266 memory: 14278 loss_kpt: 0.000633 acc_pose: 0.798111 loss: 0.000633 2022/09/26 15:58:45 - mmengine - INFO - Epoch(train) [60][100/586] lr: 5.000000e-04 eta: 10:27:05 time: 0.458531 data_time: 0.029522 memory: 14278 loss_kpt: 0.000611 acc_pose: 0.827312 loss: 0.000611 2022/09/26 15:59:07 - mmengine - INFO - Epoch(train) [60][150/586] lr: 5.000000e-04 eta: 10:26:46 time: 0.443000 data_time: 0.030633 memory: 14278 loss_kpt: 0.000597 acc_pose: 0.877153 loss: 0.000597 2022/09/26 15:59:30 - mmengine - INFO - Epoch(train) [60][200/586] lr: 5.000000e-04 eta: 10:26:28 time: 0.453947 data_time: 0.031411 memory: 14278 loss_kpt: 0.000609 acc_pose: 0.832204 loss: 0.000609 2022/09/26 15:59:52 - mmengine - INFO - Epoch(train) [60][250/586] lr: 5.000000e-04 eta: 10:26:09 time: 0.441349 data_time: 0.036946 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.833126 loss: 0.000613 2022/09/26 16:00:13 - mmengine - INFO - Epoch(train) [60][300/586] lr: 5.000000e-04 eta: 10:25:48 time: 0.432046 data_time: 0.030143 memory: 14278 loss_kpt: 0.000620 acc_pose: 0.805108 loss: 0.000620 2022/09/26 16:00:36 - mmengine - INFO - Epoch(train) [60][350/586] lr: 5.000000e-04 eta: 10:25:30 time: 0.454172 data_time: 0.030044 memory: 14278 loss_kpt: 0.000588 acc_pose: 0.839996 loss: 0.000588 2022/09/26 16:00:58 - mmengine - INFO - Epoch(train) [60][400/586] lr: 5.000000e-04 eta: 10:25:12 time: 0.450192 data_time: 0.029521 memory: 14278 loss_kpt: 0.000617 acc_pose: 0.789979 loss: 0.000617 2022/09/26 16:01:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:01:21 - mmengine - INFO - Epoch(train) [60][450/586] lr: 5.000000e-04 eta: 10:24:53 time: 0.443838 data_time: 0.030225 memory: 14278 loss_kpt: 0.000612 acc_pose: 0.829611 loss: 0.000612 2022/09/26 16:01:43 - mmengine - INFO - Epoch(train) [60][500/586] lr: 5.000000e-04 eta: 10:24:34 time: 0.442795 data_time: 0.030401 memory: 14278 loss_kpt: 0.000619 acc_pose: 0.858027 loss: 0.000619 2022/09/26 16:02:06 - mmengine - INFO - Epoch(train) [60][550/586] lr: 5.000000e-04 eta: 10:24:18 time: 0.468013 data_time: 0.040114 memory: 14278 loss_kpt: 0.000629 acc_pose: 0.791163 loss: 0.000629 2022/09/26 16:02:22 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:02:22 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/09/26 16:02:47 - mmengine - INFO - Epoch(val) [60][50/407] eta: 0:02:05 time: 0.350259 data_time: 0.104550 memory: 14278 2022/09/26 16:03:04 - mmengine - INFO - Epoch(val) [60][100/407] eta: 0:01:45 time: 0.342389 data_time: 0.092415 memory: 2124 2022/09/26 16:03:21 - mmengine - INFO - Epoch(val) [60][150/407] eta: 0:01:26 time: 0.335490 data_time: 0.097818 memory: 2124 2022/09/26 16:03:38 - mmengine - INFO - Epoch(val) [60][200/407] eta: 0:01:09 time: 0.334182 data_time: 0.072120 memory: 2124 2022/09/26 16:03:55 - mmengine - INFO - Epoch(val) [60][250/407] eta: 0:00:52 time: 0.332482 data_time: 0.086686 memory: 2124 2022/09/26 16:04:11 - mmengine - INFO - Epoch(val) [60][300/407] eta: 0:00:35 time: 0.328678 data_time: 0.087876 memory: 2124 2022/09/26 16:04:28 - mmengine - INFO - Epoch(val) [60][350/407] eta: 0:00:18 time: 0.332590 data_time: 0.095006 memory: 2124 2022/09/26 16:04:40 - mmengine - INFO - Epoch(val) [60][400/407] eta: 0:00:01 time: 0.237937 data_time: 0.056007 memory: 2124 2022/09/26 16:05:12 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 16:05:24 - mmengine - INFO - Epoch(val) [60][407/407] coco/AP: 0.731145 coco/AP .5: 0.897455 coco/AP .75: 0.801250 coco/AP (M): 0.692729 coco/AP (L): 0.799917 coco/AR: 0.784225 coco/AR .5: 0.933249 coco/AR .75: 0.848394 coco/AR (M): 0.741164 coco/AR (L): 0.846786 2022/09/26 16:05:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_50.pth is removed 2022/09/26 16:05:29 - mmengine - INFO - The best checkpoint with 0.7311 coco/AP at 60 epoch is saved to best_coco/AP_epoch_60.pth. 2022/09/26 16:06:53 - mmengine - INFO - Epoch(train) [61][50/586] lr: 5.000000e-04 eta: 10:25:42 time: 1.696972 data_time: 0.458787 memory: 14278 loss_kpt: 0.000599 acc_pose: 0.812891 loss: 0.000599 2022/09/26 16:08:23 - mmengine - INFO - Epoch(train) [61][100/586] lr: 5.000000e-04 eta: 10:28:10 time: 1.788247 data_time: 0.065460 memory: 14278 loss_kpt: 0.000608 acc_pose: 0.854799 loss: 0.000608 2022/09/26 16:08:55 - mmengine - INFO - Epoch(train) [61][150/586] lr: 5.000000e-04 eta: 10:28:16 time: 0.648552 data_time: 0.053213 memory: 14278 loss_kpt: 0.000601 acc_pose: 0.755823 loss: 0.000601 2022/09/26 16:09:22 - mmengine - INFO - Epoch(train) [61][200/586] lr: 5.000000e-04 eta: 10:28:06 time: 0.529179 data_time: 0.093591 memory: 14278 loss_kpt: 0.000637 acc_pose: 0.860056 loss: 0.000637 2022/09/26 16:09:49 - mmengine - INFO - Epoch(train) [61][250/586] lr: 5.000000e-04 eta: 10:27:59 time: 0.545916 data_time: 0.034257 memory: 14278 loss_kpt: 0.000611 acc_pose: 0.800343 loss: 0.000611 2022/09/26 16:10:18 - mmengine - INFO - Epoch(train) [61][300/586] lr: 5.000000e-04 eta: 10:27:56 time: 0.574241 data_time: 0.135166 memory: 14278 loss_kpt: 0.000618 acc_pose: 0.815617 loss: 0.000618 2022/09/26 16:10:42 - mmengine - INFO - Epoch(train) [61][350/586] lr: 5.000000e-04 eta: 10:27:41 time: 0.489009 data_time: 0.038378 memory: 14278 loss_kpt: 0.000617 acc_pose: 0.778057 loss: 0.000617 2022/09/26 16:11:05 - mmengine - INFO - Epoch(train) [61][400/586] lr: 5.000000e-04 eta: 10:27:23 time: 0.455951 data_time: 0.031024 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.851587 loss: 0.000607 2022/09/26 16:11:27 - mmengine - INFO - Epoch(train) [61][450/586] lr: 5.000000e-04 eta: 10:27:04 time: 0.447288 data_time: 0.035157 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.799327 loss: 0.000607 2022/09/26 16:11:50 - mmengine - INFO - Epoch(train) [61][500/586] lr: 5.000000e-04 eta: 10:26:44 time: 0.447813 data_time: 0.034945 memory: 14278 loss_kpt: 0.000627 acc_pose: 0.739509 loss: 0.000627 2022/09/26 16:12:13 - mmengine - INFO - Epoch(train) [61][550/586] lr: 5.000000e-04 eta: 10:26:27 time: 0.463140 data_time: 0.028539 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.841563 loss: 0.000603 2022/09/26 16:12:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:12:53 - mmengine - INFO - Epoch(train) [62][50/586] lr: 5.000000e-04 eta: 10:25:15 time: 0.454844 data_time: 0.046272 memory: 14278 loss_kpt: 0.000620 acc_pose: 0.754355 loss: 0.000620 2022/09/26 16:13:15 - mmengine - INFO - Epoch(train) [62][100/586] lr: 5.000000e-04 eta: 10:24:54 time: 0.433396 data_time: 0.029341 memory: 14278 loss_kpt: 0.000595 acc_pose: 0.855355 loss: 0.000595 2022/09/26 16:13:38 - mmengine - INFO - Epoch(train) [62][150/586] lr: 5.000000e-04 eta: 10:24:35 time: 0.454775 data_time: 0.033034 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.852127 loss: 0.000603 2022/09/26 16:13:59 - mmengine - INFO - Epoch(train) [62][200/586] lr: 5.000000e-04 eta: 10:24:15 time: 0.435014 data_time: 0.029920 memory: 14278 loss_kpt: 0.000618 acc_pose: 0.726339 loss: 0.000618 2022/09/26 16:14:22 - mmengine - INFO - Epoch(train) [62][250/586] lr: 5.000000e-04 eta: 10:23:56 time: 0.452073 data_time: 0.029589 memory: 14278 loss_kpt: 0.000621 acc_pose: 0.751726 loss: 0.000621 2022/09/26 16:14:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:14:44 - mmengine - INFO - Epoch(train) [62][300/586] lr: 5.000000e-04 eta: 10:23:36 time: 0.445777 data_time: 0.030742 memory: 14278 loss_kpt: 0.000619 acc_pose: 0.844538 loss: 0.000619 2022/09/26 16:15:07 - mmengine - INFO - Epoch(train) [62][350/586] lr: 5.000000e-04 eta: 10:23:18 time: 0.460759 data_time: 0.030660 memory: 14278 loss_kpt: 0.000608 acc_pose: 0.809941 loss: 0.000608 2022/09/26 16:15:29 - mmengine - INFO - Epoch(train) [62][400/586] lr: 5.000000e-04 eta: 10:22:57 time: 0.431615 data_time: 0.030850 memory: 14278 loss_kpt: 0.000631 acc_pose: 0.881333 loss: 0.000631 2022/09/26 16:15:51 - mmengine - INFO - Epoch(train) [62][450/586] lr: 5.000000e-04 eta: 10:22:38 time: 0.446454 data_time: 0.032773 memory: 14278 loss_kpt: 0.000605 acc_pose: 0.819074 loss: 0.000605 2022/09/26 16:16:13 - mmengine - INFO - Epoch(train) [62][500/586] lr: 5.000000e-04 eta: 10:22:18 time: 0.446487 data_time: 0.033039 memory: 14278 loss_kpt: 0.000630 acc_pose: 0.816182 loss: 0.000630 2022/09/26 16:16:37 - mmengine - INFO - Epoch(train) [62][550/586] lr: 5.000000e-04 eta: 10:22:02 time: 0.473330 data_time: 0.030872 memory: 14278 loss_kpt: 0.000605 acc_pose: 0.845540 loss: 0.000605 2022/09/26 16:16:53 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:17:15 - mmengine - INFO - Epoch(train) [63][50/586] lr: 5.000000e-04 eta: 10:20:50 time: 0.448617 data_time: 0.037698 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.843473 loss: 0.000613 2022/09/26 16:17:37 - mmengine - INFO - Epoch(train) [63][100/586] lr: 5.000000e-04 eta: 10:20:30 time: 0.444281 data_time: 0.030218 memory: 14278 loss_kpt: 0.000602 acc_pose: 0.780692 loss: 0.000602 2022/09/26 16:18:00 - mmengine - INFO - Epoch(train) [63][150/586] lr: 5.000000e-04 eta: 10:20:10 time: 0.441137 data_time: 0.029607 memory: 14278 loss_kpt: 0.000630 acc_pose: 0.850489 loss: 0.000630 2022/09/26 16:18:22 - mmengine - INFO - Epoch(train) [63][200/586] lr: 5.000000e-04 eta: 10:19:50 time: 0.443695 data_time: 0.031415 memory: 14278 loss_kpt: 0.000609 acc_pose: 0.803694 loss: 0.000609 2022/09/26 16:18:44 - mmengine - INFO - Epoch(train) [63][250/586] lr: 5.000000e-04 eta: 10:19:30 time: 0.437756 data_time: 0.030863 memory: 14278 loss_kpt: 0.000626 acc_pose: 0.851286 loss: 0.000626 2022/09/26 16:19:06 - mmengine - INFO - Epoch(train) [63][300/586] lr: 5.000000e-04 eta: 10:19:10 time: 0.444012 data_time: 0.030849 memory: 14278 loss_kpt: 0.000616 acc_pose: 0.879081 loss: 0.000616 2022/09/26 16:19:29 - mmengine - INFO - Epoch(train) [63][350/586] lr: 5.000000e-04 eta: 10:18:52 time: 0.457832 data_time: 0.028355 memory: 14278 loss_kpt: 0.000611 acc_pose: 0.858505 loss: 0.000611 2022/09/26 16:19:51 - mmengine - INFO - Epoch(train) [63][400/586] lr: 5.000000e-04 eta: 10:18:31 time: 0.435795 data_time: 0.030517 memory: 14278 loss_kpt: 0.000596 acc_pose: 0.870106 loss: 0.000596 2022/09/26 16:20:13 - mmengine - INFO - Epoch(train) [63][450/586] lr: 5.000000e-04 eta: 10:18:11 time: 0.440302 data_time: 0.036408 memory: 14278 loss_kpt: 0.000605 acc_pose: 0.785258 loss: 0.000605 2022/09/26 16:20:35 - mmengine - INFO - Epoch(train) [63][500/586] lr: 5.000000e-04 eta: 10:17:51 time: 0.449920 data_time: 0.030596 memory: 14278 loss_kpt: 0.000627 acc_pose: 0.779883 loss: 0.000627 2022/09/26 16:20:58 - mmengine - INFO - Epoch(train) [63][550/586] lr: 5.000000e-04 eta: 10:17:32 time: 0.451210 data_time: 0.036300 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.793464 loss: 0.000613 2022/09/26 16:21:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:21:35 - mmengine - INFO - Epoch(train) [64][50/586] lr: 5.000000e-04 eta: 10:16:21 time: 0.439710 data_time: 0.038977 memory: 14278 loss_kpt: 0.000598 acc_pose: 0.857692 loss: 0.000598 2022/09/26 16:21:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:21:58 - mmengine - INFO - Epoch(train) [64][100/586] lr: 5.000000e-04 eta: 10:16:01 time: 0.450620 data_time: 0.030205 memory: 14278 loss_kpt: 0.000617 acc_pose: 0.847393 loss: 0.000617 2022/09/26 16:22:20 - mmengine - INFO - Epoch(train) [64][150/586] lr: 5.000000e-04 eta: 10:15:41 time: 0.439567 data_time: 0.036855 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.823524 loss: 0.000607 2022/09/26 16:22:41 - mmengine - INFO - Epoch(train) [64][200/586] lr: 5.000000e-04 eta: 10:15:20 time: 0.430351 data_time: 0.030832 memory: 14278 loss_kpt: 0.000601 acc_pose: 0.912603 loss: 0.000601 2022/09/26 16:23:03 - mmengine - INFO - Epoch(train) [64][250/586] lr: 5.000000e-04 eta: 10:14:59 time: 0.435698 data_time: 0.028066 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.820793 loss: 0.000613 2022/09/26 16:23:25 - mmengine - INFO - Epoch(train) [64][300/586] lr: 5.000000e-04 eta: 10:14:38 time: 0.437151 data_time: 0.032248 memory: 14278 loss_kpt: 0.000631 acc_pose: 0.823841 loss: 0.000631 2022/09/26 16:23:47 - mmengine - INFO - Epoch(train) [64][350/586] lr: 5.000000e-04 eta: 10:14:19 time: 0.444493 data_time: 0.028973 memory: 14278 loss_kpt: 0.000617 acc_pose: 0.827953 loss: 0.000617 2022/09/26 16:24:10 - mmengine - INFO - Epoch(train) [64][400/586] lr: 5.000000e-04 eta: 10:14:01 time: 0.458851 data_time: 0.038134 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.782183 loss: 0.000593 2022/09/26 16:24:32 - mmengine - INFO - Epoch(train) [64][450/586] lr: 5.000000e-04 eta: 10:13:39 time: 0.431212 data_time: 0.033283 memory: 14278 loss_kpt: 0.000601 acc_pose: 0.827884 loss: 0.000601 2022/09/26 16:24:53 - mmengine - INFO - Epoch(train) [64][500/586] lr: 5.000000e-04 eta: 10:13:19 time: 0.437119 data_time: 0.030786 memory: 14278 loss_kpt: 0.000604 acc_pose: 0.747634 loss: 0.000604 2022/09/26 16:25:16 - mmengine - INFO - Epoch(train) [64][550/586] lr: 5.000000e-04 eta: 10:12:59 time: 0.449299 data_time: 0.032454 memory: 14278 loss_kpt: 0.000609 acc_pose: 0.860357 loss: 0.000609 2022/09/26 16:25:33 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:25:56 - mmengine - INFO - Epoch(train) [65][50/586] lr: 5.000000e-04 eta: 10:11:53 time: 0.479250 data_time: 0.043979 memory: 14278 loss_kpt: 0.000599 acc_pose: 0.804885 loss: 0.000599 2022/09/26 16:26:18 - mmengine - INFO - Epoch(train) [65][100/586] lr: 5.000000e-04 eta: 10:11:32 time: 0.433402 data_time: 0.030650 memory: 14278 loss_kpt: 0.000622 acc_pose: 0.824244 loss: 0.000622 2022/09/26 16:26:40 - mmengine - INFO - Epoch(train) [65][150/586] lr: 5.000000e-04 eta: 10:11:12 time: 0.445561 data_time: 0.031235 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.838718 loss: 0.000603 2022/09/26 16:27:02 - mmengine - INFO - Epoch(train) [65][200/586] lr: 5.000000e-04 eta: 10:10:51 time: 0.435744 data_time: 0.031709 memory: 14278 loss_kpt: 0.000605 acc_pose: 0.814988 loss: 0.000605 2022/09/26 16:27:24 - mmengine - INFO - Epoch(train) [65][250/586] lr: 5.000000e-04 eta: 10:10:32 time: 0.444177 data_time: 0.029704 memory: 14278 loss_kpt: 0.000606 acc_pose: 0.855344 loss: 0.000606 2022/09/26 16:27:47 - mmengine - INFO - Epoch(train) [65][300/586] lr: 5.000000e-04 eta: 10:10:13 time: 0.451375 data_time: 0.033035 memory: 14278 loss_kpt: 0.000586 acc_pose: 0.840805 loss: 0.000586 2022/09/26 16:28:10 - mmengine - INFO - Epoch(train) [65][350/586] lr: 5.000000e-04 eta: 10:09:55 time: 0.459586 data_time: 0.035342 memory: 14278 loss_kpt: 0.000623 acc_pose: 0.776610 loss: 0.000623 2022/09/26 16:28:32 - mmengine - INFO - Epoch(train) [65][400/586] lr: 5.000000e-04 eta: 10:09:34 time: 0.437381 data_time: 0.028939 memory: 14278 loss_kpt: 0.000619 acc_pose: 0.819664 loss: 0.000619 2022/09/26 16:28:54 - mmengine - INFO - Epoch(train) [65][450/586] lr: 5.000000e-04 eta: 10:09:14 time: 0.445966 data_time: 0.034671 memory: 14278 loss_kpt: 0.000608 acc_pose: 0.803776 loss: 0.000608 2022/09/26 16:29:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:29:17 - mmengine - INFO - Epoch(train) [65][500/586] lr: 5.000000e-04 eta: 10:08:56 time: 0.457556 data_time: 0.031056 memory: 14278 loss_kpt: 0.000625 acc_pose: 0.800770 loss: 0.000625 2022/09/26 16:29:40 - mmengine - INFO - Epoch(train) [65][550/586] lr: 5.000000e-04 eta: 10:08:39 time: 0.467229 data_time: 0.036868 memory: 14278 loss_kpt: 0.000614 acc_pose: 0.824781 loss: 0.000614 2022/09/26 16:29:56 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:30:19 - mmengine - INFO - Epoch(train) [66][50/586] lr: 5.000000e-04 eta: 10:07:30 time: 0.449488 data_time: 0.038236 memory: 14278 loss_kpt: 0.000595 acc_pose: 0.868676 loss: 0.000595 2022/09/26 16:30:41 - mmengine - INFO - Epoch(train) [66][100/586] lr: 5.000000e-04 eta: 10:07:11 time: 0.457042 data_time: 0.030454 memory: 14278 loss_kpt: 0.000594 acc_pose: 0.891006 loss: 0.000594 2022/09/26 16:31:03 - mmengine - INFO - Epoch(train) [66][150/586] lr: 5.000000e-04 eta: 10:06:50 time: 0.429288 data_time: 0.030842 memory: 14278 loss_kpt: 0.000610 acc_pose: 0.841734 loss: 0.000610 2022/09/26 16:31:26 - mmengine - INFO - Epoch(train) [66][200/586] lr: 5.000000e-04 eta: 10:06:32 time: 0.459868 data_time: 0.036681 memory: 14278 loss_kpt: 0.000606 acc_pose: 0.815321 loss: 0.000606 2022/09/26 16:31:48 - mmengine - INFO - Epoch(train) [66][250/586] lr: 5.000000e-04 eta: 10:06:11 time: 0.440340 data_time: 0.032481 memory: 14278 loss_kpt: 0.000622 acc_pose: 0.812008 loss: 0.000622 2022/09/26 16:32:10 - mmengine - INFO - Epoch(train) [66][300/586] lr: 5.000000e-04 eta: 10:05:51 time: 0.443230 data_time: 0.033603 memory: 14278 loss_kpt: 0.000611 acc_pose: 0.818087 loss: 0.000611 2022/09/26 16:32:33 - mmengine - INFO - Epoch(train) [66][350/586] lr: 5.000000e-04 eta: 10:05:33 time: 0.456098 data_time: 0.033802 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.879470 loss: 0.000592 2022/09/26 16:32:55 - mmengine - INFO - Epoch(train) [66][400/586] lr: 5.000000e-04 eta: 10:05:12 time: 0.435378 data_time: 0.029955 memory: 14278 loss_kpt: 0.000614 acc_pose: 0.868848 loss: 0.000614 2022/09/26 16:33:17 - mmengine - INFO - Epoch(train) [66][450/586] lr: 5.000000e-04 eta: 10:04:52 time: 0.443992 data_time: 0.037469 memory: 14278 loss_kpt: 0.000620 acc_pose: 0.788870 loss: 0.000620 2022/09/26 16:33:40 - mmengine - INFO - Epoch(train) [66][500/586] lr: 5.000000e-04 eta: 10:04:34 time: 0.455312 data_time: 0.030668 memory: 14278 loss_kpt: 0.000600 acc_pose: 0.851853 loss: 0.000600 2022/09/26 16:34:02 - mmengine - INFO - Epoch(train) [66][550/586] lr: 5.000000e-04 eta: 10:04:13 time: 0.439454 data_time: 0.031045 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.790051 loss: 0.000607 2022/09/26 16:34:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:34:40 - mmengine - INFO - Epoch(train) [67][50/586] lr: 5.000000e-04 eta: 10:03:05 time: 0.453440 data_time: 0.041541 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.901364 loss: 0.000582 2022/09/26 16:35:03 - mmengine - INFO - Epoch(train) [67][100/586] lr: 5.000000e-04 eta: 10:02:45 time: 0.442451 data_time: 0.029718 memory: 14278 loss_kpt: 0.000628 acc_pose: 0.754741 loss: 0.000628 2022/09/26 16:35:25 - mmengine - INFO - Epoch(train) [67][150/586] lr: 5.000000e-04 eta: 10:02:25 time: 0.444706 data_time: 0.029535 memory: 14278 loss_kpt: 0.000606 acc_pose: 0.824179 loss: 0.000606 2022/09/26 16:35:47 - mmengine - INFO - Epoch(train) [67][200/586] lr: 5.000000e-04 eta: 10:02:06 time: 0.448908 data_time: 0.030247 memory: 14278 loss_kpt: 0.000615 acc_pose: 0.881849 loss: 0.000615 2022/09/26 16:36:11 - mmengine - INFO - Epoch(train) [67][250/586] lr: 5.000000e-04 eta: 10:01:49 time: 0.468439 data_time: 0.030791 memory: 14278 loss_kpt: 0.000594 acc_pose: 0.830641 loss: 0.000594 2022/09/26 16:36:33 - mmengine - INFO - Epoch(train) [67][300/586] lr: 5.000000e-04 eta: 10:01:30 time: 0.452349 data_time: 0.028870 memory: 14278 loss_kpt: 0.000608 acc_pose: 0.904003 loss: 0.000608 2022/09/26 16:36:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:36:56 - mmengine - INFO - Epoch(train) [67][350/586] lr: 5.000000e-04 eta: 10:01:12 time: 0.464384 data_time: 0.038101 memory: 14278 loss_kpt: 0.000615 acc_pose: 0.810822 loss: 0.000615 2022/09/26 16:37:18 - mmengine - INFO - Epoch(train) [67][400/586] lr: 5.000000e-04 eta: 10:00:52 time: 0.435363 data_time: 0.037368 memory: 14278 loss_kpt: 0.000604 acc_pose: 0.799569 loss: 0.000604 2022/09/26 16:37:40 - mmengine - INFO - Epoch(train) [67][450/586] lr: 5.000000e-04 eta: 10:00:32 time: 0.443160 data_time: 0.030462 memory: 14278 loss_kpt: 0.000616 acc_pose: 0.707301 loss: 0.000616 2022/09/26 16:38:02 - mmengine - INFO - Epoch(train) [67][500/586] lr: 5.000000e-04 eta: 10:00:11 time: 0.436637 data_time: 0.030035 memory: 14278 loss_kpt: 0.000604 acc_pose: 0.833429 loss: 0.000604 2022/09/26 16:38:24 - mmengine - INFO - Epoch(train) [67][550/586] lr: 5.000000e-04 eta: 9:59:51 time: 0.442664 data_time: 0.028602 memory: 14278 loss_kpt: 0.000611 acc_pose: 0.816150 loss: 0.000611 2022/09/26 16:38:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:39:04 - mmengine - INFO - Epoch(train) [68][50/586] lr: 5.000000e-04 eta: 9:58:46 time: 0.476780 data_time: 0.048296 memory: 14278 loss_kpt: 0.000615 acc_pose: 0.848411 loss: 0.000615 2022/09/26 16:39:26 - mmengine - INFO - Epoch(train) [68][100/586] lr: 5.000000e-04 eta: 9:58:26 time: 0.439881 data_time: 0.030764 memory: 14278 loss_kpt: 0.000609 acc_pose: 0.834756 loss: 0.000609 2022/09/26 16:39:48 - mmengine - INFO - Epoch(train) [68][150/586] lr: 5.000000e-04 eta: 9:58:05 time: 0.437030 data_time: 0.029191 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.856129 loss: 0.000613 2022/09/26 16:40:10 - mmengine - INFO - Epoch(train) [68][200/586] lr: 5.000000e-04 eta: 9:57:45 time: 0.440293 data_time: 0.031269 memory: 14278 loss_kpt: 0.000589 acc_pose: 0.885401 loss: 0.000589 2022/09/26 16:40:31 - mmengine - INFO - Epoch(train) [68][250/586] lr: 5.000000e-04 eta: 9:57:24 time: 0.431951 data_time: 0.030320 memory: 14278 loss_kpt: 0.000610 acc_pose: 0.866534 loss: 0.000610 2022/09/26 16:40:54 - mmengine - INFO - Epoch(train) [68][300/586] lr: 5.000000e-04 eta: 9:57:04 time: 0.448133 data_time: 0.031412 memory: 14278 loss_kpt: 0.000631 acc_pose: 0.794225 loss: 0.000631 2022/09/26 16:41:16 - mmengine - INFO - Epoch(train) [68][350/586] lr: 5.000000e-04 eta: 9:56:44 time: 0.435946 data_time: 0.030851 memory: 14278 loss_kpt: 0.000610 acc_pose: 0.793985 loss: 0.000610 2022/09/26 16:41:38 - mmengine - INFO - Epoch(train) [68][400/586] lr: 5.000000e-04 eta: 9:56:24 time: 0.443959 data_time: 0.037887 memory: 14278 loss_kpt: 0.000599 acc_pose: 0.862707 loss: 0.000599 2022/09/26 16:42:00 - mmengine - INFO - Epoch(train) [68][450/586] lr: 5.000000e-04 eta: 9:56:04 time: 0.445092 data_time: 0.030044 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.857841 loss: 0.000603 2022/09/26 16:42:22 - mmengine - INFO - Epoch(train) [68][500/586] lr: 5.000000e-04 eta: 9:55:43 time: 0.436974 data_time: 0.031595 memory: 14278 loss_kpt: 0.000604 acc_pose: 0.813289 loss: 0.000604 2022/09/26 16:42:44 - mmengine - INFO - Epoch(train) [68][550/586] lr: 5.000000e-04 eta: 9:55:23 time: 0.439361 data_time: 0.035298 memory: 14278 loss_kpt: 0.000614 acc_pose: 0.799584 loss: 0.000614 2022/09/26 16:43:00 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:43:23 - mmengine - INFO - Epoch(train) [69][50/586] lr: 5.000000e-04 eta: 9:54:17 time: 0.455972 data_time: 0.040873 memory: 14278 loss_kpt: 0.000616 acc_pose: 0.875858 loss: 0.000616 2022/09/26 16:43:46 - mmengine - INFO - Epoch(train) [69][100/586] lr: 5.000000e-04 eta: 9:53:59 time: 0.462936 data_time: 0.031886 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.810338 loss: 0.000584 2022/09/26 16:44:10 - mmengine - INFO - Epoch(train) [69][150/586] lr: 5.000000e-04 eta: 9:53:41 time: 0.469335 data_time: 0.029577 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.856516 loss: 0.000603 2022/09/26 16:44:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:44:33 - mmengine - INFO - Epoch(train) [69][200/586] lr: 5.000000e-04 eta: 9:53:23 time: 0.456906 data_time: 0.037368 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.861969 loss: 0.000607 2022/09/26 16:44:55 - mmengine - INFO - Epoch(train) [69][250/586] lr: 5.000000e-04 eta: 9:53:03 time: 0.442830 data_time: 0.029850 memory: 14278 loss_kpt: 0.000601 acc_pose: 0.825066 loss: 0.000601 2022/09/26 16:45:16 - mmengine - INFO - Epoch(train) [69][300/586] lr: 5.000000e-04 eta: 9:52:42 time: 0.432231 data_time: 0.038073 memory: 14278 loss_kpt: 0.000602 acc_pose: 0.841890 loss: 0.000602 2022/09/26 16:45:38 - mmengine - INFO - Epoch(train) [69][350/586] lr: 5.000000e-04 eta: 9:52:21 time: 0.439114 data_time: 0.029569 memory: 14278 loss_kpt: 0.000621 acc_pose: 0.782803 loss: 0.000621 2022/09/26 16:46:02 - mmengine - INFO - Epoch(train) [69][400/586] lr: 5.000000e-04 eta: 9:52:04 time: 0.468170 data_time: 0.029981 memory: 14278 loss_kpt: 0.000608 acc_pose: 0.836186 loss: 0.000608 2022/09/26 16:46:24 - mmengine - INFO - Epoch(train) [69][450/586] lr: 5.000000e-04 eta: 9:51:44 time: 0.443188 data_time: 0.030181 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.889524 loss: 0.000592 2022/09/26 16:46:46 - mmengine - INFO - Epoch(train) [69][500/586] lr: 5.000000e-04 eta: 9:51:23 time: 0.436753 data_time: 0.030281 memory: 14278 loss_kpt: 0.000616 acc_pose: 0.849463 loss: 0.000616 2022/09/26 16:47:08 - mmengine - INFO - Epoch(train) [69][550/586] lr: 5.000000e-04 eta: 9:51:04 time: 0.444446 data_time: 0.031740 memory: 14278 loss_kpt: 0.000594 acc_pose: 0.846925 loss: 0.000594 2022/09/26 16:47:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:47:48 - mmengine - INFO - Epoch(train) [70][50/586] lr: 5.000000e-04 eta: 9:49:58 time: 0.452829 data_time: 0.039551 memory: 14278 loss_kpt: 0.000611 acc_pose: 0.873564 loss: 0.000611 2022/09/26 16:48:10 - mmengine - INFO - Epoch(train) [70][100/586] lr: 5.000000e-04 eta: 9:49:37 time: 0.438018 data_time: 0.031759 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.875929 loss: 0.000603 2022/09/26 16:48:32 - mmengine - INFO - Epoch(train) [70][150/586] lr: 5.000000e-04 eta: 9:49:18 time: 0.452586 data_time: 0.029291 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.833789 loss: 0.000581 2022/09/26 16:48:55 - mmengine - INFO - Epoch(train) [70][200/586] lr: 5.000000e-04 eta: 9:48:59 time: 0.448156 data_time: 0.030905 memory: 14278 loss_kpt: 0.000597 acc_pose: 0.891542 loss: 0.000597 2022/09/26 16:49:16 - mmengine - INFO - Epoch(train) [70][250/586] lr: 5.000000e-04 eta: 9:48:38 time: 0.433819 data_time: 0.029834 memory: 14278 loss_kpt: 0.000606 acc_pose: 0.846011 loss: 0.000606 2022/09/26 16:49:39 - mmengine - INFO - Epoch(train) [70][300/586] lr: 5.000000e-04 eta: 9:48:18 time: 0.449675 data_time: 0.029231 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.878387 loss: 0.000593 2022/09/26 16:50:01 - mmengine - INFO - Epoch(train) [70][350/586] lr: 5.000000e-04 eta: 9:47:58 time: 0.444204 data_time: 0.038361 memory: 14278 loss_kpt: 0.000600 acc_pose: 0.840755 loss: 0.000600 2022/09/26 16:50:24 - mmengine - INFO - Epoch(train) [70][400/586] lr: 5.000000e-04 eta: 9:47:40 time: 0.453991 data_time: 0.030690 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.821809 loss: 0.000592 2022/09/26 16:50:46 - mmengine - INFO - Epoch(train) [70][450/586] lr: 5.000000e-04 eta: 9:47:20 time: 0.444466 data_time: 0.030218 memory: 14278 loss_kpt: 0.000620 acc_pose: 0.886716 loss: 0.000620 2022/09/26 16:51:09 - mmengine - INFO - Epoch(train) [70][500/586] lr: 5.000000e-04 eta: 9:47:01 time: 0.454030 data_time: 0.030625 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.869651 loss: 0.000607 2022/09/26 16:51:31 - mmengine - INFO - Epoch(train) [70][550/586] lr: 5.000000e-04 eta: 9:46:40 time: 0.439904 data_time: 0.033084 memory: 14278 loss_kpt: 0.000600 acc_pose: 0.778414 loss: 0.000600 2022/09/26 16:51:38 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:51:47 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:51:47 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/09/26 16:52:15 - mmengine - INFO - Epoch(val) [70][50/407] eta: 0:02:01 time: 0.340821 data_time: 0.091772 memory: 14278 2022/09/26 16:52:32 - mmengine - INFO - Epoch(val) [70][100/407] eta: 0:01:48 time: 0.352358 data_time: 0.107505 memory: 2124 2022/09/26 16:52:51 - mmengine - INFO - Epoch(val) [70][150/407] eta: 0:01:36 time: 0.376455 data_time: 0.136885 memory: 2124 2022/09/26 16:53:08 - mmengine - INFO - Epoch(val) [70][200/407] eta: 0:01:08 time: 0.332744 data_time: 0.105831 memory: 2124 2022/09/26 16:53:24 - mmengine - INFO - Epoch(val) [70][250/407] eta: 0:00:52 time: 0.333886 data_time: 0.075961 memory: 2124 2022/09/26 16:53:41 - mmengine - INFO - Epoch(val) [70][300/407] eta: 0:00:34 time: 0.325219 data_time: 0.077468 memory: 2124 2022/09/26 16:53:58 - mmengine - INFO - Epoch(val) [70][350/407] eta: 0:00:19 time: 0.340430 data_time: 0.095341 memory: 2124 2022/09/26 16:54:06 - mmengine - INFO - Epoch(val) [70][400/407] eta: 0:00:01 time: 0.174992 data_time: 0.041139 memory: 2124 2022/09/26 16:54:39 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 16:54:52 - mmengine - INFO - Epoch(val) [70][407/407] coco/AP: 0.730687 coco/AP .5: 0.895890 coco/AP .75: 0.800056 coco/AP (M): 0.689475 coco/AP (L): 0.802486 coco/AR: 0.783123 coco/AR .5: 0.933249 coco/AR .75: 0.847922 coco/AR (M): 0.738077 coco/AR (L): 0.848421 2022/09/26 16:55:17 - mmengine - INFO - Epoch(train) [71][50/586] lr: 5.000000e-04 eta: 9:45:41 time: 0.511078 data_time: 0.040777 memory: 14278 loss_kpt: 0.000609 acc_pose: 0.793362 loss: 0.000609 2022/09/26 16:55:39 - mmengine - INFO - Epoch(train) [71][100/586] lr: 5.000000e-04 eta: 9:45:21 time: 0.439799 data_time: 0.031208 memory: 14278 loss_kpt: 0.000597 acc_pose: 0.772031 loss: 0.000597 2022/09/26 16:56:01 - mmengine - INFO - Epoch(train) [71][150/586] lr: 5.000000e-04 eta: 9:45:01 time: 0.443462 data_time: 0.037147 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.859295 loss: 0.000581 2022/09/26 16:56:24 - mmengine - INFO - Epoch(train) [71][200/586] lr: 5.000000e-04 eta: 9:44:41 time: 0.441895 data_time: 0.030735 memory: 14278 loss_kpt: 0.000590 acc_pose: 0.915260 loss: 0.000590 2022/09/26 16:56:46 - mmengine - INFO - Epoch(train) [71][250/586] lr: 5.000000e-04 eta: 9:44:21 time: 0.445962 data_time: 0.031367 memory: 14278 loss_kpt: 0.000585 acc_pose: 0.783232 loss: 0.000585 2022/09/26 16:57:08 - mmengine - INFO - Epoch(train) [71][300/586] lr: 5.000000e-04 eta: 9:44:00 time: 0.436981 data_time: 0.030434 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.697972 loss: 0.000607 2022/09/26 16:57:31 - mmengine - INFO - Epoch(train) [71][350/586] lr: 5.000000e-04 eta: 9:43:42 time: 0.458731 data_time: 0.031284 memory: 14278 loss_kpt: 0.000605 acc_pose: 0.856969 loss: 0.000605 2022/09/26 16:57:53 - mmengine - INFO - Epoch(train) [71][400/586] lr: 5.000000e-04 eta: 9:43:21 time: 0.436946 data_time: 0.029272 memory: 14278 loss_kpt: 0.000594 acc_pose: 0.772015 loss: 0.000594 2022/09/26 16:58:16 - mmengine - INFO - Epoch(train) [71][450/586] lr: 5.000000e-04 eta: 9:43:04 time: 0.471075 data_time: 0.031178 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.848051 loss: 0.000592 2022/09/26 16:58:38 - mmengine - INFO - Epoch(train) [71][500/586] lr: 5.000000e-04 eta: 9:42:43 time: 0.438706 data_time: 0.030953 memory: 14278 loss_kpt: 0.000610 acc_pose: 0.847770 loss: 0.000610 2022/09/26 16:59:00 - mmengine - INFO - Epoch(train) [71][550/586] lr: 5.000000e-04 eta: 9:42:23 time: 0.439374 data_time: 0.035009 memory: 14278 loss_kpt: 0.000599 acc_pose: 0.826601 loss: 0.000599 2022/09/26 16:59:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 16:59:38 - mmengine - INFO - Epoch(train) [72][50/586] lr: 5.000000e-04 eta: 9:41:18 time: 0.454548 data_time: 0.038798 memory: 14278 loss_kpt: 0.000596 acc_pose: 0.837127 loss: 0.000596 2022/09/26 17:00:01 - mmengine - INFO - Epoch(train) [72][100/586] lr: 5.000000e-04 eta: 9:40:59 time: 0.444414 data_time: 0.030868 memory: 14278 loss_kpt: 0.000585 acc_pose: 0.903578 loss: 0.000585 2022/09/26 17:00:25 - mmengine - INFO - Epoch(train) [72][150/586] lr: 5.000000e-04 eta: 9:40:42 time: 0.480686 data_time: 0.030134 memory: 14278 loss_kpt: 0.000595 acc_pose: 0.822772 loss: 0.000595 2022/09/26 17:00:47 - mmengine - INFO - Epoch(train) [72][200/586] lr: 5.000000e-04 eta: 9:40:22 time: 0.442690 data_time: 0.029472 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.775047 loss: 0.000570 2022/09/26 17:01:09 - mmengine - INFO - Epoch(train) [72][250/586] lr: 5.000000e-04 eta: 9:40:02 time: 0.443639 data_time: 0.031740 memory: 14278 loss_kpt: 0.000599 acc_pose: 0.828422 loss: 0.000599 2022/09/26 17:01:32 - mmengine - INFO - Epoch(train) [72][300/586] lr: 5.000000e-04 eta: 9:39:45 time: 0.467733 data_time: 0.036015 memory: 14278 loss_kpt: 0.000596 acc_pose: 0.838606 loss: 0.000596 2022/09/26 17:01:54 - mmengine - INFO - Epoch(train) [72][350/586] lr: 5.000000e-04 eta: 9:39:24 time: 0.440335 data_time: 0.029166 memory: 14278 loss_kpt: 0.000623 acc_pose: 0.781964 loss: 0.000623 2022/09/26 17:02:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:02:17 - mmengine - INFO - Epoch(train) [72][400/586] lr: 5.000000e-04 eta: 9:39:04 time: 0.441431 data_time: 0.031657 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.793768 loss: 0.000607 2022/09/26 17:02:39 - mmengine - INFO - Epoch(train) [72][450/586] lr: 5.000000e-04 eta: 9:38:45 time: 0.451410 data_time: 0.030993 memory: 14278 loss_kpt: 0.000598 acc_pose: 0.798007 loss: 0.000598 2022/09/26 17:03:02 - mmengine - INFO - Epoch(train) [72][500/586] lr: 5.000000e-04 eta: 9:38:27 time: 0.462673 data_time: 0.028967 memory: 14278 loss_kpt: 0.000596 acc_pose: 0.864109 loss: 0.000596 2022/09/26 17:03:24 - mmengine - INFO - Epoch(train) [72][550/586] lr: 5.000000e-04 eta: 9:38:06 time: 0.440693 data_time: 0.038344 memory: 14278 loss_kpt: 0.000602 acc_pose: 0.834794 loss: 0.000602 2022/09/26 17:03:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:04:02 - mmengine - INFO - Epoch(train) [73][50/586] lr: 5.000000e-04 eta: 9:37:02 time: 0.453675 data_time: 0.038260 memory: 14278 loss_kpt: 0.000606 acc_pose: 0.876348 loss: 0.000606 2022/09/26 17:04:25 - mmengine - INFO - Epoch(train) [73][100/586] lr: 5.000000e-04 eta: 9:36:42 time: 0.442653 data_time: 0.030302 memory: 14278 loss_kpt: 0.000601 acc_pose: 0.815003 loss: 0.000601 2022/09/26 17:04:48 - mmengine - INFO - Epoch(train) [73][150/586] lr: 5.000000e-04 eta: 9:36:24 time: 0.461291 data_time: 0.031075 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.829157 loss: 0.000581 2022/09/26 17:05:11 - mmengine - INFO - Epoch(train) [73][200/586] lr: 5.000000e-04 eta: 9:36:05 time: 0.457827 data_time: 0.030773 memory: 14278 loss_kpt: 0.000596 acc_pose: 0.844596 loss: 0.000596 2022/09/26 17:05:33 - mmengine - INFO - Epoch(train) [73][250/586] lr: 5.000000e-04 eta: 9:35:46 time: 0.445321 data_time: 0.029941 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.778723 loss: 0.000603 2022/09/26 17:05:56 - mmengine - INFO - Epoch(train) [73][300/586] lr: 5.000000e-04 eta: 9:35:27 time: 0.457277 data_time: 0.029364 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.880091 loss: 0.000583 2022/09/26 17:06:17 - mmengine - INFO - Epoch(train) [73][350/586] lr: 5.000000e-04 eta: 9:35:06 time: 0.434872 data_time: 0.028962 memory: 14278 loss_kpt: 0.000600 acc_pose: 0.750610 loss: 0.000600 2022/09/26 17:06:40 - mmengine - INFO - Epoch(train) [73][400/586] lr: 5.000000e-04 eta: 9:34:47 time: 0.449703 data_time: 0.030143 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.805633 loss: 0.000592 2022/09/26 17:07:03 - mmengine - INFO - Epoch(train) [73][450/586] lr: 5.000000e-04 eta: 9:34:28 time: 0.459751 data_time: 0.029852 memory: 14278 loss_kpt: 0.000604 acc_pose: 0.744143 loss: 0.000604 2022/09/26 17:07:26 - mmengine - INFO - Epoch(train) [73][500/586] lr: 5.000000e-04 eta: 9:34:09 time: 0.454828 data_time: 0.036879 memory: 14278 loss_kpt: 0.000599 acc_pose: 0.850319 loss: 0.000599 2022/09/26 17:07:49 - mmengine - INFO - Epoch(train) [73][550/586] lr: 5.000000e-04 eta: 9:33:51 time: 0.462882 data_time: 0.031232 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.872303 loss: 0.000587 2022/09/26 17:08:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:08:28 - mmengine - INFO - Epoch(train) [74][50/586] lr: 5.000000e-04 eta: 9:32:47 time: 0.452879 data_time: 0.039309 memory: 14278 loss_kpt: 0.000609 acc_pose: 0.809443 loss: 0.000609 2022/09/26 17:08:50 - mmengine - INFO - Epoch(train) [74][100/586] lr: 5.000000e-04 eta: 9:32:27 time: 0.440460 data_time: 0.033406 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.822049 loss: 0.000580 2022/09/26 17:09:13 - mmengine - INFO - Epoch(train) [74][150/586] lr: 5.000000e-04 eta: 9:32:09 time: 0.460288 data_time: 0.030119 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.844482 loss: 0.000582 2022/09/26 17:09:35 - mmengine - INFO - Epoch(train) [74][200/586] lr: 5.000000e-04 eta: 9:31:50 time: 0.457956 data_time: 0.039261 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.876844 loss: 0.000587 2022/09/26 17:09:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:09:57 - mmengine - INFO - Epoch(train) [74][250/586] lr: 5.000000e-04 eta: 9:31:29 time: 0.434776 data_time: 0.030572 memory: 14278 loss_kpt: 0.000615 acc_pose: 0.836624 loss: 0.000615 2022/09/26 17:10:19 - mmengine - INFO - Epoch(train) [74][300/586] lr: 5.000000e-04 eta: 9:31:08 time: 0.434455 data_time: 0.032958 memory: 14278 loss_kpt: 0.000607 acc_pose: 0.884817 loss: 0.000607 2022/09/26 17:10:41 - mmengine - INFO - Epoch(train) [74][350/586] lr: 5.000000e-04 eta: 9:30:48 time: 0.440106 data_time: 0.029211 memory: 14278 loss_kpt: 0.000608 acc_pose: 0.815267 loss: 0.000608 2022/09/26 17:11:04 - mmengine - INFO - Epoch(train) [74][400/586] lr: 5.000000e-04 eta: 9:30:30 time: 0.462545 data_time: 0.031929 memory: 14278 loss_kpt: 0.000588 acc_pose: 0.847215 loss: 0.000588 2022/09/26 17:11:26 - mmengine - INFO - Epoch(train) [74][450/586] lr: 5.000000e-04 eta: 9:30:10 time: 0.447251 data_time: 0.028803 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.902399 loss: 0.000587 2022/09/26 17:11:49 - mmengine - INFO - Epoch(train) [74][500/586] lr: 5.000000e-04 eta: 9:29:50 time: 0.443634 data_time: 0.030341 memory: 14278 loss_kpt: 0.000598 acc_pose: 0.809568 loss: 0.000598 2022/09/26 17:12:10 - mmengine - INFO - Epoch(train) [74][550/586] lr: 5.000000e-04 eta: 9:29:29 time: 0.434608 data_time: 0.033339 memory: 14278 loss_kpt: 0.000595 acc_pose: 0.810465 loss: 0.000595 2022/09/26 17:12:26 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:12:49 - mmengine - INFO - Epoch(train) [75][50/586] lr: 5.000000e-04 eta: 9:28:27 time: 0.463454 data_time: 0.038569 memory: 14278 loss_kpt: 0.000588 acc_pose: 0.884536 loss: 0.000588 2022/09/26 17:13:12 - mmengine - INFO - Epoch(train) [75][100/586] lr: 5.000000e-04 eta: 9:28:07 time: 0.445547 data_time: 0.034357 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.825172 loss: 0.000593 2022/09/26 17:13:33 - mmengine - INFO - Epoch(train) [75][150/586] lr: 5.000000e-04 eta: 9:27:46 time: 0.432041 data_time: 0.029965 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.819299 loss: 0.000587 2022/09/26 17:13:56 - mmengine - INFO - Epoch(train) [75][200/586] lr: 5.000000e-04 eta: 9:27:27 time: 0.451903 data_time: 0.032106 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.800542 loss: 0.000587 2022/09/26 17:14:19 - mmengine - INFO - Epoch(train) [75][250/586] lr: 5.000000e-04 eta: 9:27:08 time: 0.454216 data_time: 0.028972 memory: 14278 loss_kpt: 0.000596 acc_pose: 0.805371 loss: 0.000596 2022/09/26 17:14:41 - mmengine - INFO - Epoch(train) [75][300/586] lr: 5.000000e-04 eta: 9:26:48 time: 0.440284 data_time: 0.030228 memory: 14278 loss_kpt: 0.000609 acc_pose: 0.850940 loss: 0.000609 2022/09/26 17:15:03 - mmengine - INFO - Epoch(train) [75][350/586] lr: 5.000000e-04 eta: 9:26:28 time: 0.449899 data_time: 0.031728 memory: 14278 loss_kpt: 0.000610 acc_pose: 0.837994 loss: 0.000610 2022/09/26 17:15:26 - mmengine - INFO - Epoch(train) [75][400/586] lr: 5.000000e-04 eta: 9:26:09 time: 0.448623 data_time: 0.031613 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.857658 loss: 0.000573 2022/09/26 17:15:48 - mmengine - INFO - Epoch(train) [75][450/586] lr: 5.000000e-04 eta: 9:25:50 time: 0.454520 data_time: 0.029797 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.835688 loss: 0.000613 2022/09/26 17:16:11 - mmengine - INFO - Epoch(train) [75][500/586] lr: 5.000000e-04 eta: 9:25:30 time: 0.454184 data_time: 0.029619 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.910849 loss: 0.000581 2022/09/26 17:16:33 - mmengine - INFO - Epoch(train) [75][550/586] lr: 5.000000e-04 eta: 9:25:10 time: 0.439126 data_time: 0.032786 memory: 14278 loss_kpt: 0.000620 acc_pose: 0.810182 loss: 0.000620 2022/09/26 17:16:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:17:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:17:12 - mmengine - INFO - Epoch(train) [76][50/586] lr: 5.000000e-04 eta: 9:24:08 time: 0.458751 data_time: 0.038041 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.786585 loss: 0.000584 2022/09/26 17:17:34 - mmengine - INFO - Epoch(train) [76][100/586] lr: 5.000000e-04 eta: 9:23:47 time: 0.433605 data_time: 0.029659 memory: 14278 loss_kpt: 0.000588 acc_pose: 0.862465 loss: 0.000588 2022/09/26 17:17:57 - mmengine - INFO - Epoch(train) [76][150/586] lr: 5.000000e-04 eta: 9:23:29 time: 0.460210 data_time: 0.032594 memory: 14278 loss_kpt: 0.000614 acc_pose: 0.867662 loss: 0.000614 2022/09/26 17:18:20 - mmengine - INFO - Epoch(train) [76][200/586] lr: 5.000000e-04 eta: 9:23:09 time: 0.452051 data_time: 0.029781 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.815592 loss: 0.000592 2022/09/26 17:18:42 - mmengine - INFO - Epoch(train) [76][250/586] lr: 5.000000e-04 eta: 9:22:50 time: 0.449293 data_time: 0.032845 memory: 14278 loss_kpt: 0.000613 acc_pose: 0.804117 loss: 0.000613 2022/09/26 17:19:04 - mmengine - INFO - Epoch(train) [76][300/586] lr: 5.000000e-04 eta: 9:22:29 time: 0.438880 data_time: 0.037630 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.875425 loss: 0.000603 2022/09/26 17:19:26 - mmengine - INFO - Epoch(train) [76][350/586] lr: 5.000000e-04 eta: 9:22:08 time: 0.431838 data_time: 0.033715 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.858760 loss: 0.000592 2022/09/26 17:19:49 - mmengine - INFO - Epoch(train) [76][400/586] lr: 5.000000e-04 eta: 9:21:51 time: 0.471319 data_time: 0.031507 memory: 14278 loss_kpt: 0.000591 acc_pose: 0.818600 loss: 0.000591 2022/09/26 17:20:12 - mmengine - INFO - Epoch(train) [76][450/586] lr: 5.000000e-04 eta: 9:21:31 time: 0.452560 data_time: 0.032405 memory: 14278 loss_kpt: 0.000591 acc_pose: 0.834439 loss: 0.000591 2022/09/26 17:20:34 - mmengine - INFO - Epoch(train) [76][500/586] lr: 5.000000e-04 eta: 9:21:12 time: 0.445960 data_time: 0.030205 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.836921 loss: 0.000574 2022/09/26 17:20:57 - mmengine - INFO - Epoch(train) [76][550/586] lr: 5.000000e-04 eta: 9:20:52 time: 0.447373 data_time: 0.032395 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.851673 loss: 0.000584 2022/09/26 17:21:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:21:35 - mmengine - INFO - Epoch(train) [77][50/586] lr: 5.000000e-04 eta: 9:19:50 time: 0.457480 data_time: 0.047973 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.836967 loss: 0.000603 2022/09/26 17:21:58 - mmengine - INFO - Epoch(train) [77][100/586] lr: 5.000000e-04 eta: 9:19:32 time: 0.460620 data_time: 0.038873 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.894256 loss: 0.000603 2022/09/26 17:22:20 - mmengine - INFO - Epoch(train) [77][150/586] lr: 5.000000e-04 eta: 9:19:12 time: 0.440191 data_time: 0.032844 memory: 14278 loss_kpt: 0.000598 acc_pose: 0.856538 loss: 0.000598 2022/09/26 17:22:43 - mmengine - INFO - Epoch(train) [77][200/586] lr: 5.000000e-04 eta: 9:18:53 time: 0.465170 data_time: 0.033069 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.877137 loss: 0.000587 2022/09/26 17:23:05 - mmengine - INFO - Epoch(train) [77][250/586] lr: 5.000000e-04 eta: 9:18:32 time: 0.430530 data_time: 0.031798 memory: 14278 loss_kpt: 0.000595 acc_pose: 0.875982 loss: 0.000595 2022/09/26 17:23:27 - mmengine - INFO - Epoch(train) [77][300/586] lr: 5.000000e-04 eta: 9:18:12 time: 0.440669 data_time: 0.031364 memory: 14278 loss_kpt: 0.000591 acc_pose: 0.825793 loss: 0.000591 2022/09/26 17:23:49 - mmengine - INFO - Epoch(train) [77][350/586] lr: 5.000000e-04 eta: 9:17:52 time: 0.447029 data_time: 0.032211 memory: 14278 loss_kpt: 0.000575 acc_pose: 0.869060 loss: 0.000575 2022/09/26 17:24:11 - mmengine - INFO - Epoch(train) [77][400/586] lr: 5.000000e-04 eta: 9:17:32 time: 0.442651 data_time: 0.032763 memory: 14278 loss_kpt: 0.000615 acc_pose: 0.799159 loss: 0.000615 2022/09/26 17:24:34 - mmengine - INFO - Epoch(train) [77][450/586] lr: 5.000000e-04 eta: 9:17:12 time: 0.449440 data_time: 0.040783 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.865280 loss: 0.000587 2022/09/26 17:24:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:24:57 - mmengine - INFO - Epoch(train) [77][500/586] lr: 5.000000e-04 eta: 9:16:53 time: 0.451598 data_time: 0.030080 memory: 14278 loss_kpt: 0.000602 acc_pose: 0.821243 loss: 0.000602 2022/09/26 17:25:19 - mmengine - INFO - Epoch(train) [77][550/586] lr: 5.000000e-04 eta: 9:16:34 time: 0.454921 data_time: 0.031950 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.841657 loss: 0.000592 2022/09/26 17:25:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:25:58 - mmengine - INFO - Epoch(train) [78][50/586] lr: 5.000000e-04 eta: 9:15:33 time: 0.451954 data_time: 0.041106 memory: 14278 loss_kpt: 0.000594 acc_pose: 0.775631 loss: 0.000594 2022/09/26 17:26:20 - mmengine - INFO - Epoch(train) [78][100/586] lr: 5.000000e-04 eta: 9:15:12 time: 0.437208 data_time: 0.032859 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.889260 loss: 0.000603 2022/09/26 17:26:42 - mmengine - INFO - Epoch(train) [78][150/586] lr: 5.000000e-04 eta: 9:14:53 time: 0.458791 data_time: 0.031394 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.827372 loss: 0.000584 2022/09/26 17:27:04 - mmengine - INFO - Epoch(train) [78][200/586] lr: 5.000000e-04 eta: 9:14:33 time: 0.436578 data_time: 0.030656 memory: 14278 loss_kpt: 0.000591 acc_pose: 0.834243 loss: 0.000591 2022/09/26 17:27:27 - mmengine - INFO - Epoch(train) [78][250/586] lr: 5.000000e-04 eta: 9:14:13 time: 0.446064 data_time: 0.030756 memory: 14278 loss_kpt: 0.000600 acc_pose: 0.837249 loss: 0.000600 2022/09/26 17:27:49 - mmengine - INFO - Epoch(train) [78][300/586] lr: 5.000000e-04 eta: 9:13:53 time: 0.443222 data_time: 0.032927 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.858309 loss: 0.000578 2022/09/26 17:28:11 - mmengine - INFO - Epoch(train) [78][350/586] lr: 5.000000e-04 eta: 9:13:32 time: 0.440208 data_time: 0.039609 memory: 14278 loss_kpt: 0.000586 acc_pose: 0.868418 loss: 0.000586 2022/09/26 17:28:33 - mmengine - INFO - Epoch(train) [78][400/586] lr: 5.000000e-04 eta: 9:13:12 time: 0.440692 data_time: 0.028032 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.848906 loss: 0.000587 2022/09/26 17:28:55 - mmengine - INFO - Epoch(train) [78][450/586] lr: 5.000000e-04 eta: 9:12:51 time: 0.439305 data_time: 0.029673 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.850548 loss: 0.000593 2022/09/26 17:29:17 - mmengine - INFO - Epoch(train) [78][500/586] lr: 5.000000e-04 eta: 9:12:31 time: 0.436400 data_time: 0.031536 memory: 14278 loss_kpt: 0.000589 acc_pose: 0.858088 loss: 0.000589 2022/09/26 17:29:39 - mmengine - INFO - Epoch(train) [78][550/586] lr: 5.000000e-04 eta: 9:12:12 time: 0.455942 data_time: 0.030998 memory: 14278 loss_kpt: 0.000586 acc_pose: 0.805617 loss: 0.000586 2022/09/26 17:29:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:30:19 - mmengine - INFO - Epoch(train) [79][50/586] lr: 5.000000e-04 eta: 9:11:12 time: 0.468188 data_time: 0.046352 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.882262 loss: 0.000569 2022/09/26 17:30:41 - mmengine - INFO - Epoch(train) [79][100/586] lr: 5.000000e-04 eta: 9:10:52 time: 0.437194 data_time: 0.031484 memory: 14278 loss_kpt: 0.000595 acc_pose: 0.857337 loss: 0.000595 2022/09/26 17:31:03 - mmengine - INFO - Epoch(train) [79][150/586] lr: 5.000000e-04 eta: 9:10:33 time: 0.457485 data_time: 0.030052 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.769210 loss: 0.000584 2022/09/26 17:31:25 - mmengine - INFO - Epoch(train) [79][200/586] lr: 5.000000e-04 eta: 9:10:12 time: 0.437114 data_time: 0.031140 memory: 14278 loss_kpt: 0.000586 acc_pose: 0.849007 loss: 0.000586 2022/09/26 17:31:47 - mmengine - INFO - Epoch(train) [79][250/586] lr: 5.000000e-04 eta: 9:09:51 time: 0.435129 data_time: 0.028002 memory: 14278 loss_kpt: 0.000572 acc_pose: 0.822000 loss: 0.000572 2022/09/26 17:32:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:32:10 - mmengine - INFO - Epoch(train) [79][300/586] lr: 5.000000e-04 eta: 9:09:33 time: 0.465499 data_time: 0.039063 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.847209 loss: 0.000583 2022/09/26 17:32:32 - mmengine - INFO - Epoch(train) [79][350/586] lr: 5.000000e-04 eta: 9:09:12 time: 0.434534 data_time: 0.029964 memory: 14278 loss_kpt: 0.000589 acc_pose: 0.853546 loss: 0.000589 2022/09/26 17:32:55 - mmengine - INFO - Epoch(train) [79][400/586] lr: 5.000000e-04 eta: 9:08:53 time: 0.449442 data_time: 0.032350 memory: 14278 loss_kpt: 0.000600 acc_pose: 0.821116 loss: 0.000600 2022/09/26 17:33:18 - mmengine - INFO - Epoch(train) [79][450/586] lr: 5.000000e-04 eta: 9:08:34 time: 0.461744 data_time: 0.031635 memory: 14278 loss_kpt: 0.000585 acc_pose: 0.810643 loss: 0.000585 2022/09/26 17:33:40 - mmengine - INFO - Epoch(train) [79][500/586] lr: 5.000000e-04 eta: 9:08:14 time: 0.439332 data_time: 0.030947 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.877082 loss: 0.000583 2022/09/26 17:34:02 - mmengine - INFO - Epoch(train) [79][550/586] lr: 5.000000e-04 eta: 9:07:54 time: 0.447739 data_time: 0.038333 memory: 14278 loss_kpt: 0.000589 acc_pose: 0.834454 loss: 0.000589 2022/09/26 17:34:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:34:41 - mmengine - INFO - Epoch(train) [80][50/586] lr: 5.000000e-04 eta: 9:06:55 time: 0.467110 data_time: 0.047545 memory: 14278 loss_kpt: 0.000618 acc_pose: 0.828101 loss: 0.000618 2022/09/26 17:35:03 - mmengine - INFO - Epoch(train) [80][100/586] lr: 5.000000e-04 eta: 9:06:34 time: 0.437270 data_time: 0.029227 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.801962 loss: 0.000578 2022/09/26 17:35:26 - mmengine - INFO - Epoch(train) [80][150/586] lr: 5.000000e-04 eta: 9:06:15 time: 0.460057 data_time: 0.033068 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.852450 loss: 0.000587 2022/09/26 17:35:49 - mmengine - INFO - Epoch(train) [80][200/586] lr: 5.000000e-04 eta: 9:05:56 time: 0.455123 data_time: 0.039546 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.828729 loss: 0.000593 2022/09/26 17:36:11 - mmengine - INFO - Epoch(train) [80][250/586] lr: 5.000000e-04 eta: 9:05:37 time: 0.457191 data_time: 0.029762 memory: 14278 loss_kpt: 0.000610 acc_pose: 0.863035 loss: 0.000610 2022/09/26 17:36:35 - mmengine - INFO - Epoch(train) [80][300/586] lr: 5.000000e-04 eta: 9:05:19 time: 0.462813 data_time: 0.030570 memory: 14278 loss_kpt: 0.000591 acc_pose: 0.813854 loss: 0.000591 2022/09/26 17:36:57 - mmengine - INFO - Epoch(train) [80][350/586] lr: 5.000000e-04 eta: 9:04:58 time: 0.440129 data_time: 0.030980 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.870228 loss: 0.000587 2022/09/26 17:37:19 - mmengine - INFO - Epoch(train) [80][400/586] lr: 5.000000e-04 eta: 9:04:38 time: 0.445259 data_time: 0.029406 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.800441 loss: 0.000583 2022/09/26 17:37:42 - mmengine - INFO - Epoch(train) [80][450/586] lr: 5.000000e-04 eta: 9:04:20 time: 0.465356 data_time: 0.039129 memory: 14278 loss_kpt: 0.000610 acc_pose: 0.819772 loss: 0.000610 2022/09/26 17:38:05 - mmengine - INFO - Epoch(train) [80][500/586] lr: 5.000000e-04 eta: 9:04:02 time: 0.462858 data_time: 0.032431 memory: 14278 loss_kpt: 0.000586 acc_pose: 0.813738 loss: 0.000586 2022/09/26 17:38:27 - mmengine - INFO - Epoch(train) [80][550/586] lr: 5.000000e-04 eta: 9:03:41 time: 0.441465 data_time: 0.033724 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.872947 loss: 0.000583 2022/09/26 17:38:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:38:43 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/09/26 17:39:12 - mmengine - INFO - Epoch(val) [80][50/407] eta: 0:02:11 time: 0.367274 data_time: 0.116732 memory: 14278 2022/09/26 17:39:29 - mmengine - INFO - Epoch(val) [80][100/407] eta: 0:01:46 time: 0.347262 data_time: 0.105834 memory: 2124 2022/09/26 17:39:45 - mmengine - INFO - Epoch(val) [80][150/407] eta: 0:01:24 time: 0.328802 data_time: 0.096843 memory: 2124 2022/09/26 17:40:02 - mmengine - INFO - Epoch(val) [80][200/407] eta: 0:01:09 time: 0.336791 data_time: 0.091362 memory: 2124 2022/09/26 17:40:19 - mmengine - INFO - Epoch(val) [80][250/407] eta: 0:00:52 time: 0.331917 data_time: 0.094030 memory: 2124 2022/09/26 17:40:35 - mmengine - INFO - Epoch(val) [80][300/407] eta: 0:00:34 time: 0.327003 data_time: 0.087418 memory: 2124 2022/09/26 17:40:51 - mmengine - INFO - Epoch(val) [80][350/407] eta: 0:00:18 time: 0.321996 data_time: 0.077862 memory: 2124 2022/09/26 17:41:02 - mmengine - INFO - Epoch(val) [80][400/407] eta: 0:00:01 time: 0.216665 data_time: 0.046143 memory: 2124 2022/09/26 17:41:34 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 17:41:47 - mmengine - INFO - Epoch(val) [80][407/407] coco/AP: 0.733016 coco/AP .5: 0.897055 coco/AP .75: 0.802835 coco/AP (M): 0.692559 coco/AP (L): 0.803661 coco/AR: 0.784320 coco/AR .5: 0.933249 coco/AR .75: 0.848709 coco/AR (M): 0.739415 coco/AR (L): 0.849350 2022/09/26 17:41:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_60.pth is removed 2022/09/26 17:41:50 - mmengine - INFO - The best checkpoint with 0.7330 coco/AP at 80 epoch is saved to best_coco/AP_epoch_80.pth. 2022/09/26 17:42:13 - mmengine - INFO - Epoch(train) [81][50/586] lr: 5.000000e-04 eta: 9:02:41 time: 0.443833 data_time: 0.035889 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.786575 loss: 0.000578 2022/09/26 17:42:34 - mmengine - INFO - Epoch(train) [81][100/586] lr: 5.000000e-04 eta: 9:02:20 time: 0.433924 data_time: 0.030853 memory: 14278 loss_kpt: 0.000601 acc_pose: 0.832003 loss: 0.000601 2022/09/26 17:42:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:42:57 - mmengine - INFO - Epoch(train) [81][150/586] lr: 5.000000e-04 eta: 9:02:00 time: 0.449783 data_time: 0.030804 memory: 14278 loss_kpt: 0.000591 acc_pose: 0.810215 loss: 0.000591 2022/09/26 17:43:19 - mmengine - INFO - Epoch(train) [81][200/586] lr: 5.000000e-04 eta: 9:01:41 time: 0.448791 data_time: 0.036683 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.889967 loss: 0.000573 2022/09/26 17:43:41 - mmengine - INFO - Epoch(train) [81][250/586] lr: 5.000000e-04 eta: 9:01:20 time: 0.435070 data_time: 0.027994 memory: 14278 loss_kpt: 0.000604 acc_pose: 0.856033 loss: 0.000604 2022/09/26 17:44:04 - mmengine - INFO - Epoch(train) [81][300/586] lr: 5.000000e-04 eta: 9:01:00 time: 0.452163 data_time: 0.031503 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.894462 loss: 0.000582 2022/09/26 17:44:26 - mmengine - INFO - Epoch(train) [81][350/586] lr: 5.000000e-04 eta: 9:00:40 time: 0.442299 data_time: 0.029799 memory: 14278 loss_kpt: 0.000567 acc_pose: 0.900526 loss: 0.000567 2022/09/26 17:44:47 - mmengine - INFO - Epoch(train) [81][400/586] lr: 5.000000e-04 eta: 9:00:19 time: 0.432384 data_time: 0.029209 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.809213 loss: 0.000593 2022/09/26 17:45:09 - mmengine - INFO - Epoch(train) [81][450/586] lr: 5.000000e-04 eta: 8:59:59 time: 0.438582 data_time: 0.030803 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.801801 loss: 0.000584 2022/09/26 17:45:32 - mmengine - INFO - Epoch(train) [81][500/586] lr: 5.000000e-04 eta: 8:59:40 time: 0.461197 data_time: 0.030718 memory: 14278 loss_kpt: 0.000594 acc_pose: 0.826974 loss: 0.000594 2022/09/26 17:45:55 - mmengine - INFO - Epoch(train) [81][550/586] lr: 5.000000e-04 eta: 8:59:21 time: 0.458811 data_time: 0.031236 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.877160 loss: 0.000592 2022/09/26 17:46:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:46:34 - mmengine - INFO - Epoch(train) [82][50/586] lr: 5.000000e-04 eta: 8:58:23 time: 0.470919 data_time: 0.040859 memory: 14278 loss_kpt: 0.000572 acc_pose: 0.867496 loss: 0.000572 2022/09/26 17:46:57 - mmengine - INFO - Epoch(train) [82][100/586] lr: 5.000000e-04 eta: 8:58:03 time: 0.450618 data_time: 0.030027 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.845188 loss: 0.000564 2022/09/26 17:47:19 - mmengine - INFO - Epoch(train) [82][150/586] lr: 5.000000e-04 eta: 8:57:43 time: 0.436463 data_time: 0.032001 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.836774 loss: 0.000581 2022/09/26 17:47:43 - mmengine - INFO - Epoch(train) [82][200/586] lr: 5.000000e-04 eta: 8:57:25 time: 0.475156 data_time: 0.028491 memory: 14278 loss_kpt: 0.000577 acc_pose: 0.834533 loss: 0.000577 2022/09/26 17:48:05 - mmengine - INFO - Epoch(train) [82][250/586] lr: 5.000000e-04 eta: 8:57:06 time: 0.451356 data_time: 0.029404 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.827478 loss: 0.000582 2022/09/26 17:48:27 - mmengine - INFO - Epoch(train) [82][300/586] lr: 5.000000e-04 eta: 8:56:45 time: 0.443229 data_time: 0.032363 memory: 14278 loss_kpt: 0.000589 acc_pose: 0.864091 loss: 0.000589 2022/09/26 17:48:50 - mmengine - INFO - Epoch(train) [82][350/586] lr: 5.000000e-04 eta: 8:56:26 time: 0.447359 data_time: 0.036568 memory: 14278 loss_kpt: 0.000596 acc_pose: 0.814135 loss: 0.000596 2022/09/26 17:49:12 - mmengine - INFO - Epoch(train) [82][400/586] lr: 5.000000e-04 eta: 8:56:05 time: 0.443887 data_time: 0.031103 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.740326 loss: 0.000583 2022/09/26 17:49:34 - mmengine - INFO - Epoch(train) [82][450/586] lr: 5.000000e-04 eta: 8:55:45 time: 0.438596 data_time: 0.033784 memory: 14278 loss_kpt: 0.000585 acc_pose: 0.813889 loss: 0.000585 2022/09/26 17:49:56 - mmengine - INFO - Epoch(train) [82][500/586] lr: 5.000000e-04 eta: 8:55:24 time: 0.436338 data_time: 0.029601 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.851484 loss: 0.000574 2022/09/26 17:50:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:50:18 - mmengine - INFO - Epoch(train) [82][550/586] lr: 5.000000e-04 eta: 8:55:04 time: 0.443110 data_time: 0.030000 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.834836 loss: 0.000581 2022/09/26 17:50:33 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:50:56 - mmengine - INFO - Epoch(train) [83][50/586] lr: 5.000000e-04 eta: 8:54:05 time: 0.454341 data_time: 0.046070 memory: 14278 loss_kpt: 0.000579 acc_pose: 0.817969 loss: 0.000579 2022/09/26 17:51:19 - mmengine - INFO - Epoch(train) [83][100/586] lr: 5.000000e-04 eta: 8:53:46 time: 0.459520 data_time: 0.034817 memory: 14278 loss_kpt: 0.000588 acc_pose: 0.780178 loss: 0.000588 2022/09/26 17:51:42 - mmengine - INFO - Epoch(train) [83][150/586] lr: 5.000000e-04 eta: 8:53:27 time: 0.450961 data_time: 0.032888 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.843943 loss: 0.000587 2022/09/26 17:52:04 - mmengine - INFO - Epoch(train) [83][200/586] lr: 5.000000e-04 eta: 8:53:07 time: 0.448338 data_time: 0.029836 memory: 14278 loss_kpt: 0.000563 acc_pose: 0.861078 loss: 0.000563 2022/09/26 17:52:27 - mmengine - INFO - Epoch(train) [83][250/586] lr: 5.000000e-04 eta: 8:52:48 time: 0.460895 data_time: 0.039488 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.851577 loss: 0.000580 2022/09/26 17:52:49 - mmengine - INFO - Epoch(train) [83][300/586] lr: 5.000000e-04 eta: 8:52:27 time: 0.433736 data_time: 0.030897 memory: 14278 loss_kpt: 0.000601 acc_pose: 0.813005 loss: 0.000601 2022/09/26 17:53:12 - mmengine - INFO - Epoch(train) [83][350/586] lr: 5.000000e-04 eta: 8:52:08 time: 0.458919 data_time: 0.029824 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.853018 loss: 0.000580 2022/09/26 17:53:34 - mmengine - INFO - Epoch(train) [83][400/586] lr: 5.000000e-04 eta: 8:51:48 time: 0.440091 data_time: 0.034057 memory: 14278 loss_kpt: 0.000588 acc_pose: 0.846881 loss: 0.000588 2022/09/26 17:53:56 - mmengine - INFO - Epoch(train) [83][450/586] lr: 5.000000e-04 eta: 8:51:27 time: 0.439127 data_time: 0.028395 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.856381 loss: 0.000564 2022/09/26 17:54:18 - mmengine - INFO - Epoch(train) [83][500/586] lr: 5.000000e-04 eta: 8:51:07 time: 0.443303 data_time: 0.031454 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.865778 loss: 0.000583 2022/09/26 17:54:41 - mmengine - INFO - Epoch(train) [83][550/586] lr: 5.000000e-04 eta: 8:50:48 time: 0.460909 data_time: 0.037263 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.932212 loss: 0.000574 2022/09/26 17:54:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:55:19 - mmengine - INFO - Epoch(train) [84][50/586] lr: 5.000000e-04 eta: 8:49:50 time: 0.452023 data_time: 0.040206 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.859931 loss: 0.000564 2022/09/26 17:55:41 - mmengine - INFO - Epoch(train) [84][100/586] lr: 5.000000e-04 eta: 8:49:29 time: 0.434028 data_time: 0.032462 memory: 14278 loss_kpt: 0.000606 acc_pose: 0.847363 loss: 0.000606 2022/09/26 17:56:03 - mmengine - INFO - Epoch(train) [84][150/586] lr: 5.000000e-04 eta: 8:49:09 time: 0.443756 data_time: 0.029168 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.895887 loss: 0.000578 2022/09/26 17:56:26 - mmengine - INFO - Epoch(train) [84][200/586] lr: 5.000000e-04 eta: 8:48:50 time: 0.459644 data_time: 0.033349 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.793376 loss: 0.000571 2022/09/26 17:56:48 - mmengine - INFO - Epoch(train) [84][250/586] lr: 5.000000e-04 eta: 8:48:29 time: 0.436241 data_time: 0.032990 memory: 14278 loss_kpt: 0.000577 acc_pose: 0.858830 loss: 0.000577 2022/09/26 17:57:10 - mmengine - INFO - Epoch(train) [84][300/586] lr: 5.000000e-04 eta: 8:48:09 time: 0.438782 data_time: 0.031442 memory: 14278 loss_kpt: 0.000589 acc_pose: 0.814892 loss: 0.000589 2022/09/26 17:57:34 - mmengine - INFO - Epoch(train) [84][350/586] lr: 5.000000e-04 eta: 8:47:51 time: 0.476267 data_time: 0.028670 memory: 14278 loss_kpt: 0.000577 acc_pose: 0.874236 loss: 0.000577 2022/09/26 17:57:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:57:57 - mmengine - INFO - Epoch(train) [84][400/586] lr: 5.000000e-04 eta: 8:47:32 time: 0.458946 data_time: 0.032438 memory: 14278 loss_kpt: 0.000592 acc_pose: 0.852084 loss: 0.000592 2022/09/26 17:58:19 - mmengine - INFO - Epoch(train) [84][450/586] lr: 5.000000e-04 eta: 8:47:12 time: 0.441529 data_time: 0.030198 memory: 14278 loss_kpt: 0.000588 acc_pose: 0.873060 loss: 0.000588 2022/09/26 17:58:41 - mmengine - INFO - Epoch(train) [84][500/586] lr: 5.000000e-04 eta: 8:46:52 time: 0.454274 data_time: 0.030615 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.855940 loss: 0.000584 2022/09/26 17:59:04 - mmengine - INFO - Epoch(train) [84][550/586] lr: 5.000000e-04 eta: 8:46:34 time: 0.461093 data_time: 0.029638 memory: 14278 loss_kpt: 0.000576 acc_pose: 0.872232 loss: 0.000576 2022/09/26 17:59:21 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 17:59:45 - mmengine - INFO - Epoch(train) [85][50/586] lr: 5.000000e-04 eta: 8:45:38 time: 0.481470 data_time: 0.040413 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.854777 loss: 0.000566 2022/09/26 18:00:12 - mmengine - INFO - Epoch(train) [85][100/586] lr: 5.000000e-04 eta: 8:45:24 time: 0.524351 data_time: 0.038243 memory: 14278 loss_kpt: 0.000585 acc_pose: 0.824215 loss: 0.000585 2022/09/26 18:00:33 - mmengine - INFO - Epoch(train) [85][150/586] lr: 5.000000e-04 eta: 8:45:03 time: 0.436029 data_time: 0.028966 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.863998 loss: 0.000580 2022/09/26 18:00:55 - mmengine - INFO - Epoch(train) [85][200/586] lr: 5.000000e-04 eta: 8:44:42 time: 0.440562 data_time: 0.030822 memory: 14278 loss_kpt: 0.000556 acc_pose: 0.841059 loss: 0.000556 2022/09/26 18:01:17 - mmengine - INFO - Epoch(train) [85][250/586] lr: 5.000000e-04 eta: 8:44:22 time: 0.438127 data_time: 0.030987 memory: 14278 loss_kpt: 0.000586 acc_pose: 0.822790 loss: 0.000586 2022/09/26 18:01:39 - mmengine - INFO - Epoch(train) [85][300/586] lr: 5.000000e-04 eta: 8:44:01 time: 0.436646 data_time: 0.033130 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.822486 loss: 0.000587 2022/09/26 18:02:01 - mmengine - INFO - Epoch(train) [85][350/586] lr: 5.000000e-04 eta: 8:43:41 time: 0.437983 data_time: 0.031023 memory: 14278 loss_kpt: 0.000602 acc_pose: 0.788922 loss: 0.000602 2022/09/26 18:02:23 - mmengine - INFO - Epoch(train) [85][400/586] lr: 5.000000e-04 eta: 8:43:20 time: 0.443949 data_time: 0.036501 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.830706 loss: 0.000580 2022/09/26 18:02:46 - mmengine - INFO - Epoch(train) [85][450/586] lr: 5.000000e-04 eta: 8:43:00 time: 0.447167 data_time: 0.029644 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.808028 loss: 0.000570 2022/09/26 18:03:07 - mmengine - INFO - Epoch(train) [85][500/586] lr: 5.000000e-04 eta: 8:42:40 time: 0.435335 data_time: 0.030645 memory: 14278 loss_kpt: 0.000585 acc_pose: 0.841757 loss: 0.000585 2022/09/26 18:03:30 - mmengine - INFO - Epoch(train) [85][550/586] lr: 5.000000e-04 eta: 8:42:19 time: 0.443676 data_time: 0.030571 memory: 14278 loss_kpt: 0.000596 acc_pose: 0.834258 loss: 0.000596 2022/09/26 18:03:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:04:08 - mmengine - INFO - Epoch(train) [86][50/586] lr: 5.000000e-04 eta: 8:41:23 time: 0.465585 data_time: 0.038254 memory: 14278 loss_kpt: 0.000579 acc_pose: 0.861084 loss: 0.000579 2022/09/26 18:04:30 - mmengine - INFO - Epoch(train) [86][100/586] lr: 5.000000e-04 eta: 8:41:02 time: 0.432625 data_time: 0.031357 memory: 14278 loss_kpt: 0.000588 acc_pose: 0.878348 loss: 0.000588 2022/09/26 18:04:52 - mmengine - INFO - Epoch(train) [86][150/586] lr: 5.000000e-04 eta: 8:40:42 time: 0.441523 data_time: 0.029479 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.814179 loss: 0.000581 2022/09/26 18:05:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:05:16 - mmengine - INFO - Epoch(train) [86][200/586] lr: 5.000000e-04 eta: 8:40:23 time: 0.467499 data_time: 0.034116 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.840230 loss: 0.000582 2022/09/26 18:05:37 - mmengine - INFO - Epoch(train) [86][250/586] lr: 5.000000e-04 eta: 8:40:03 time: 0.438227 data_time: 0.029402 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.875092 loss: 0.000558 2022/09/26 18:06:00 - mmengine - INFO - Epoch(train) [86][300/586] lr: 5.000000e-04 eta: 8:39:42 time: 0.442483 data_time: 0.029775 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.891177 loss: 0.000580 2022/09/26 18:06:22 - mmengine - INFO - Epoch(train) [86][350/586] lr: 5.000000e-04 eta: 8:39:23 time: 0.453371 data_time: 0.029341 memory: 14278 loss_kpt: 0.000591 acc_pose: 0.870928 loss: 0.000591 2022/09/26 18:06:45 - mmengine - INFO - Epoch(train) [86][400/586] lr: 5.000000e-04 eta: 8:39:04 time: 0.463936 data_time: 0.039314 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.921678 loss: 0.000573 2022/09/26 18:07:08 - mmengine - INFO - Epoch(train) [86][450/586] lr: 5.000000e-04 eta: 8:38:44 time: 0.449785 data_time: 0.031908 memory: 14278 loss_kpt: 0.000585 acc_pose: 0.821010 loss: 0.000585 2022/09/26 18:07:30 - mmengine - INFO - Epoch(train) [86][500/586] lr: 5.000000e-04 eta: 8:38:23 time: 0.435249 data_time: 0.029537 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.853211 loss: 0.000578 2022/09/26 18:07:52 - mmengine - INFO - Epoch(train) [86][550/586] lr: 5.000000e-04 eta: 8:38:03 time: 0.438227 data_time: 0.030267 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.832100 loss: 0.000581 2022/09/26 18:08:08 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:08:31 - mmengine - INFO - Epoch(train) [87][50/586] lr: 5.000000e-04 eta: 8:37:06 time: 0.461937 data_time: 0.040071 memory: 14278 loss_kpt: 0.000603 acc_pose: 0.755652 loss: 0.000603 2022/09/26 18:08:52 - mmengine - INFO - Epoch(train) [87][100/586] lr: 5.000000e-04 eta: 8:36:46 time: 0.435520 data_time: 0.029340 memory: 14278 loss_kpt: 0.000594 acc_pose: 0.871417 loss: 0.000594 2022/09/26 18:09:15 - mmengine - INFO - Epoch(train) [87][150/586] lr: 5.000000e-04 eta: 8:36:25 time: 0.441908 data_time: 0.032799 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.863891 loss: 0.000582 2022/09/26 18:09:38 - mmengine - INFO - Epoch(train) [87][200/586] lr: 5.000000e-04 eta: 8:36:07 time: 0.466294 data_time: 0.032381 memory: 14278 loss_kpt: 0.000575 acc_pose: 0.797053 loss: 0.000575 2022/09/26 18:10:00 - mmengine - INFO - Epoch(train) [87][250/586] lr: 5.000000e-04 eta: 8:35:46 time: 0.435243 data_time: 0.033908 memory: 14278 loss_kpt: 0.000577 acc_pose: 0.884714 loss: 0.000577 2022/09/26 18:10:23 - mmengine - INFO - Epoch(train) [87][300/586] lr: 5.000000e-04 eta: 8:35:27 time: 0.467106 data_time: 0.032714 memory: 14278 loss_kpt: 0.000572 acc_pose: 0.820428 loss: 0.000572 2022/09/26 18:10:45 - mmengine - INFO - Epoch(train) [87][350/586] lr: 5.000000e-04 eta: 8:35:08 time: 0.448780 data_time: 0.029161 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.876506 loss: 0.000593 2022/09/26 18:11:09 - mmengine - INFO - Epoch(train) [87][400/586] lr: 5.000000e-04 eta: 8:34:49 time: 0.467836 data_time: 0.030494 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.844720 loss: 0.000582 2022/09/26 18:11:31 - mmengine - INFO - Epoch(train) [87][450/586] lr: 5.000000e-04 eta: 8:34:29 time: 0.442687 data_time: 0.028899 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.812115 loss: 0.000582 2022/09/26 18:11:53 - mmengine - INFO - Epoch(train) [87][500/586] lr: 5.000000e-04 eta: 8:34:08 time: 0.436250 data_time: 0.030966 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.847902 loss: 0.000569 2022/09/26 18:12:15 - mmengine - INFO - Epoch(train) [87][550/586] lr: 5.000000e-04 eta: 8:33:47 time: 0.439639 data_time: 0.031755 memory: 14278 loss_kpt: 0.000576 acc_pose: 0.844838 loss: 0.000576 2022/09/26 18:12:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:12:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:12:54 - mmengine - INFO - Epoch(train) [88][50/586] lr: 5.000000e-04 eta: 8:32:52 time: 0.466363 data_time: 0.037921 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.834594 loss: 0.000587 2022/09/26 18:13:16 - mmengine - INFO - Epoch(train) [88][100/586] lr: 5.000000e-04 eta: 8:32:31 time: 0.441430 data_time: 0.029419 memory: 14278 loss_kpt: 0.000604 acc_pose: 0.794254 loss: 0.000604 2022/09/26 18:13:38 - mmengine - INFO - Epoch(train) [88][150/586] lr: 5.000000e-04 eta: 8:32:11 time: 0.441621 data_time: 0.040925 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.821575 loss: 0.000568 2022/09/26 18:14:00 - mmengine - INFO - Epoch(train) [88][200/586] lr: 5.000000e-04 eta: 8:31:50 time: 0.434414 data_time: 0.029253 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.860061 loss: 0.000573 2022/09/26 18:14:21 - mmengine - INFO - Epoch(train) [88][250/586] lr: 5.000000e-04 eta: 8:31:29 time: 0.435396 data_time: 0.028996 memory: 14278 loss_kpt: 0.000579 acc_pose: 0.820510 loss: 0.000579 2022/09/26 18:14:43 - mmengine - INFO - Epoch(train) [88][300/586] lr: 5.000000e-04 eta: 8:31:09 time: 0.441805 data_time: 0.029437 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.792028 loss: 0.000593 2022/09/26 18:15:05 - mmengine - INFO - Epoch(train) [88][350/586] lr: 5.000000e-04 eta: 8:30:49 time: 0.440883 data_time: 0.030299 memory: 14278 loss_kpt: 0.000575 acc_pose: 0.890368 loss: 0.000575 2022/09/26 18:15:27 - mmengine - INFO - Epoch(train) [88][400/586] lr: 5.000000e-04 eta: 8:30:28 time: 0.440694 data_time: 0.030430 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.829971 loss: 0.000584 2022/09/26 18:15:50 - mmengine - INFO - Epoch(train) [88][450/586] lr: 5.000000e-04 eta: 8:30:08 time: 0.441824 data_time: 0.031381 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.855344 loss: 0.000561 2022/09/26 18:16:11 - mmengine - INFO - Epoch(train) [88][500/586] lr: 5.000000e-04 eta: 8:29:47 time: 0.436486 data_time: 0.031379 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.831468 loss: 0.000587 2022/09/26 18:16:34 - mmengine - INFO - Epoch(train) [88][550/586] lr: 5.000000e-04 eta: 8:29:27 time: 0.443677 data_time: 0.030213 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.878222 loss: 0.000569 2022/09/26 18:16:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:17:12 - mmengine - INFO - Epoch(train) [89][50/586] lr: 5.000000e-04 eta: 8:28:32 time: 0.467993 data_time: 0.046651 memory: 14278 loss_kpt: 0.000596 acc_pose: 0.836103 loss: 0.000596 2022/09/26 18:17:34 - mmengine - INFO - Epoch(train) [89][100/586] lr: 5.000000e-04 eta: 8:28:11 time: 0.436744 data_time: 0.032986 memory: 14278 loss_kpt: 0.000590 acc_pose: 0.791897 loss: 0.000590 2022/09/26 18:17:56 - mmengine - INFO - Epoch(train) [89][150/586] lr: 5.000000e-04 eta: 8:27:50 time: 0.436384 data_time: 0.031737 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.808537 loss: 0.000580 2022/09/26 18:18:19 - mmengine - INFO - Epoch(train) [89][200/586] lr: 5.000000e-04 eta: 8:27:30 time: 0.449505 data_time: 0.033284 memory: 14278 loss_kpt: 0.000576 acc_pose: 0.829558 loss: 0.000576 2022/09/26 18:18:41 - mmengine - INFO - Epoch(train) [89][250/586] lr: 5.000000e-04 eta: 8:27:10 time: 0.447594 data_time: 0.031175 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.752512 loss: 0.000571 2022/09/26 18:19:04 - mmengine - INFO - Epoch(train) [89][300/586] lr: 5.000000e-04 eta: 8:26:51 time: 0.460191 data_time: 0.035607 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.855089 loss: 0.000569 2022/09/26 18:19:26 - mmengine - INFO - Epoch(train) [89][350/586] lr: 5.000000e-04 eta: 8:26:31 time: 0.446668 data_time: 0.031023 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.797597 loss: 0.000582 2022/09/26 18:19:49 - mmengine - INFO - Epoch(train) [89][400/586] lr: 5.000000e-04 eta: 8:26:12 time: 0.452691 data_time: 0.031196 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.826985 loss: 0.000581 2022/09/26 18:20:03 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:20:11 - mmengine - INFO - Epoch(train) [89][450/586] lr: 5.000000e-04 eta: 8:25:51 time: 0.437382 data_time: 0.029680 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.869421 loss: 0.000571 2022/09/26 18:20:33 - mmengine - INFO - Epoch(train) [89][500/586] lr: 5.000000e-04 eta: 8:25:31 time: 0.441009 data_time: 0.028880 memory: 14278 loss_kpt: 0.000585 acc_pose: 0.883044 loss: 0.000585 2022/09/26 18:20:55 - mmengine - INFO - Epoch(train) [89][550/586] lr: 5.000000e-04 eta: 8:25:11 time: 0.446099 data_time: 0.036812 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.841747 loss: 0.000565 2022/09/26 18:21:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:21:35 - mmengine - INFO - Epoch(train) [90][50/586] lr: 5.000000e-04 eta: 8:24:15 time: 0.461673 data_time: 0.044281 memory: 14278 loss_kpt: 0.000579 acc_pose: 0.817026 loss: 0.000579 2022/09/26 18:21:57 - mmengine - INFO - Epoch(train) [90][100/586] lr: 5.000000e-04 eta: 8:23:55 time: 0.441284 data_time: 0.031251 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.844237 loss: 0.000587 2022/09/26 18:22:20 - mmengine - INFO - Epoch(train) [90][150/586] lr: 5.000000e-04 eta: 8:23:35 time: 0.455330 data_time: 0.030564 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.796218 loss: 0.000574 2022/09/26 18:22:42 - mmengine - INFO - Epoch(train) [90][200/586] lr: 5.000000e-04 eta: 8:23:15 time: 0.447288 data_time: 0.032151 memory: 14278 loss_kpt: 0.000576 acc_pose: 0.856782 loss: 0.000576 2022/09/26 18:23:04 - mmengine - INFO - Epoch(train) [90][250/586] lr: 5.000000e-04 eta: 8:22:55 time: 0.437076 data_time: 0.029397 memory: 14278 loss_kpt: 0.000591 acc_pose: 0.811282 loss: 0.000591 2022/09/26 18:23:26 - mmengine - INFO - Epoch(train) [90][300/586] lr: 5.000000e-04 eta: 8:22:35 time: 0.444735 data_time: 0.030417 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.876837 loss: 0.000582 2022/09/26 18:23:50 - mmengine - INFO - Epoch(train) [90][350/586] lr: 5.000000e-04 eta: 8:22:17 time: 0.475527 data_time: 0.029622 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.856814 loss: 0.000583 2022/09/26 18:24:12 - mmengine - INFO - Epoch(train) [90][400/586] lr: 5.000000e-04 eta: 8:21:56 time: 0.443617 data_time: 0.030333 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.830751 loss: 0.000571 2022/09/26 18:24:35 - mmengine - INFO - Epoch(train) [90][450/586] lr: 5.000000e-04 eta: 8:21:36 time: 0.449445 data_time: 0.036262 memory: 14278 loss_kpt: 0.000586 acc_pose: 0.800560 loss: 0.000586 2022/09/26 18:24:57 - mmengine - INFO - Epoch(train) [90][500/586] lr: 5.000000e-04 eta: 8:21:16 time: 0.441969 data_time: 0.031476 memory: 14278 loss_kpt: 0.000584 acc_pose: 0.879928 loss: 0.000584 2022/09/26 18:25:19 - mmengine - INFO - Epoch(train) [90][550/586] lr: 5.000000e-04 eta: 8:20:57 time: 0.456636 data_time: 0.031852 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.857200 loss: 0.000578 2022/09/26 18:25:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:25:35 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/09/26 18:26:04 - mmengine - INFO - Epoch(val) [90][50/407] eta: 0:02:00 time: 0.338503 data_time: 0.087851 memory: 14278 2022/09/26 18:26:21 - mmengine - INFO - Epoch(val) [90][100/407] eta: 0:01:42 time: 0.335092 data_time: 0.090713 memory: 2124 2022/09/26 18:26:37 - mmengine - INFO - Epoch(val) [90][150/407] eta: 0:01:27 time: 0.338727 data_time: 0.100307 memory: 2124 2022/09/26 18:26:54 - mmengine - INFO - Epoch(val) [90][200/407] eta: 0:01:09 time: 0.337211 data_time: 0.107077 memory: 2124 2022/09/26 18:27:12 - mmengine - INFO - Epoch(val) [90][250/407] eta: 0:00:54 time: 0.347045 data_time: 0.106833 memory: 2124 2022/09/26 18:27:28 - mmengine - INFO - Epoch(val) [90][300/407] eta: 0:00:35 time: 0.332512 data_time: 0.093369 memory: 2124 2022/09/26 18:27:45 - mmengine - INFO - Epoch(val) [90][350/407] eta: 0:00:18 time: 0.332033 data_time: 0.088799 memory: 2124 2022/09/26 18:27:55 - mmengine - INFO - Epoch(val) [90][400/407] eta: 0:00:01 time: 0.199202 data_time: 0.046649 memory: 2124 2022/09/26 18:28:27 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 18:28:40 - mmengine - INFO - Epoch(val) [90][407/407] coco/AP: 0.738521 coco/AP .5: 0.899992 coco/AP .75: 0.808326 coco/AP (M): 0.700790 coco/AP (L): 0.805882 coco/AR: 0.790885 coco/AR .5: 0.937343 coco/AR .75: 0.851228 coco/AR (M): 0.748375 coco/AR (L): 0.852025 2022/09/26 18:28:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_80.pth is removed 2022/09/26 18:28:42 - mmengine - INFO - The best checkpoint with 0.7385 coco/AP at 90 epoch is saved to best_coco/AP_epoch_90.pth. 2022/09/26 18:29:05 - mmengine - INFO - Epoch(train) [91][50/586] lr: 5.000000e-04 eta: 8:20:01 time: 0.446778 data_time: 0.035795 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.806897 loss: 0.000578 2022/09/26 18:29:27 - mmengine - INFO - Epoch(train) [91][100/586] lr: 5.000000e-04 eta: 8:19:40 time: 0.435366 data_time: 0.030451 memory: 14278 loss_kpt: 0.000589 acc_pose: 0.827361 loss: 0.000589 2022/09/26 18:29:48 - mmengine - INFO - Epoch(train) [91][150/586] lr: 5.000000e-04 eta: 8:19:19 time: 0.437660 data_time: 0.032739 memory: 14278 loss_kpt: 0.000577 acc_pose: 0.828400 loss: 0.000577 2022/09/26 18:30:11 - mmengine - INFO - Epoch(train) [91][200/586] lr: 5.000000e-04 eta: 8:19:00 time: 0.456560 data_time: 0.038408 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.789348 loss: 0.000587 2022/09/26 18:30:34 - mmengine - INFO - Epoch(train) [91][250/586] lr: 5.000000e-04 eta: 8:18:41 time: 0.458469 data_time: 0.031706 memory: 14278 loss_kpt: 0.000567 acc_pose: 0.845495 loss: 0.000567 2022/09/26 18:30:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:30:56 - mmengine - INFO - Epoch(train) [91][300/586] lr: 5.000000e-04 eta: 8:18:20 time: 0.440042 data_time: 0.031269 memory: 14278 loss_kpt: 0.000576 acc_pose: 0.805815 loss: 0.000576 2022/09/26 18:31:18 - mmengine - INFO - Epoch(train) [91][350/586] lr: 5.000000e-04 eta: 8:18:00 time: 0.440492 data_time: 0.032687 memory: 14278 loss_kpt: 0.000599 acc_pose: 0.859688 loss: 0.000599 2022/09/26 18:31:40 - mmengine - INFO - Epoch(train) [91][400/586] lr: 5.000000e-04 eta: 8:17:39 time: 0.439345 data_time: 0.029842 memory: 14278 loss_kpt: 0.000560 acc_pose: 0.829368 loss: 0.000560 2022/09/26 18:32:03 - mmengine - INFO - Epoch(train) [91][450/586] lr: 5.000000e-04 eta: 8:17:20 time: 0.461539 data_time: 0.032509 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.791056 loss: 0.000561 2022/09/26 18:32:25 - mmengine - INFO - Epoch(train) [91][500/586] lr: 5.000000e-04 eta: 8:17:00 time: 0.441070 data_time: 0.031149 memory: 14278 loss_kpt: 0.000599 acc_pose: 0.799501 loss: 0.000599 2022/09/26 18:32:48 - mmengine - INFO - Epoch(train) [91][550/586] lr: 5.000000e-04 eta: 8:16:39 time: 0.441728 data_time: 0.029811 memory: 14278 loss_kpt: 0.000572 acc_pose: 0.784522 loss: 0.000572 2022/09/26 18:33:03 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:33:26 - mmengine - INFO - Epoch(train) [92][50/586] lr: 5.000000e-04 eta: 8:15:44 time: 0.454465 data_time: 0.039523 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.868980 loss: 0.000564 2022/09/26 18:33:48 - mmengine - INFO - Epoch(train) [92][100/586] lr: 5.000000e-04 eta: 8:15:24 time: 0.444390 data_time: 0.039555 memory: 14278 loss_kpt: 0.000548 acc_pose: 0.904052 loss: 0.000548 2022/09/26 18:34:11 - mmengine - INFO - Epoch(train) [92][150/586] lr: 5.000000e-04 eta: 8:15:04 time: 0.445482 data_time: 0.033855 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.763017 loss: 0.000583 2022/09/26 18:34:33 - mmengine - INFO - Epoch(train) [92][200/586] lr: 5.000000e-04 eta: 8:14:44 time: 0.442388 data_time: 0.033839 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.802346 loss: 0.000580 2022/09/26 18:34:56 - mmengine - INFO - Epoch(train) [92][250/586] lr: 5.000000e-04 eta: 8:14:24 time: 0.453174 data_time: 0.033599 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.905826 loss: 0.000561 2022/09/26 18:35:18 - mmengine - INFO - Epoch(train) [92][300/586] lr: 5.000000e-04 eta: 8:14:04 time: 0.453123 data_time: 0.032826 memory: 14278 loss_kpt: 0.000600 acc_pose: 0.834587 loss: 0.000600 2022/09/26 18:35:41 - mmengine - INFO - Epoch(train) [92][350/586] lr: 5.000000e-04 eta: 8:13:44 time: 0.445633 data_time: 0.032758 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.860414 loss: 0.000581 2022/09/26 18:36:03 - mmengine - INFO - Epoch(train) [92][400/586] lr: 5.000000e-04 eta: 8:13:24 time: 0.445921 data_time: 0.032582 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.823519 loss: 0.000569 2022/09/26 18:36:25 - mmengine - INFO - Epoch(train) [92][450/586] lr: 5.000000e-04 eta: 8:13:04 time: 0.452751 data_time: 0.034645 memory: 14278 loss_kpt: 0.000595 acc_pose: 0.827536 loss: 0.000595 2022/09/26 18:36:47 - mmengine - INFO - Epoch(train) [92][500/586] lr: 5.000000e-04 eta: 8:12:44 time: 0.438708 data_time: 0.032080 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.836603 loss: 0.000580 2022/09/26 18:37:10 - mmengine - INFO - Epoch(train) [92][550/586] lr: 5.000000e-04 eta: 8:12:23 time: 0.444722 data_time: 0.030970 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.876425 loss: 0.000582 2022/09/26 18:37:26 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:37:48 - mmengine - INFO - Epoch(train) [93][50/586] lr: 5.000000e-04 eta: 8:11:28 time: 0.440677 data_time: 0.040200 memory: 14278 loss_kpt: 0.000579 acc_pose: 0.812924 loss: 0.000579 2022/09/26 18:38:06 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:38:11 - mmengine - INFO - Epoch(train) [93][100/586] lr: 5.000000e-04 eta: 8:11:08 time: 0.453568 data_time: 0.031575 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.912877 loss: 0.000564 2022/09/26 18:38:34 - mmengine - INFO - Epoch(train) [93][150/586] lr: 5.000000e-04 eta: 8:10:48 time: 0.448798 data_time: 0.031416 memory: 14278 loss_kpt: 0.000577 acc_pose: 0.824620 loss: 0.000577 2022/09/26 18:38:56 - mmengine - INFO - Epoch(train) [93][200/586] lr: 5.000000e-04 eta: 8:10:28 time: 0.442100 data_time: 0.032791 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.858308 loss: 0.000574 2022/09/26 18:39:18 - mmengine - INFO - Epoch(train) [93][250/586] lr: 5.000000e-04 eta: 8:10:07 time: 0.439012 data_time: 0.031944 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.859597 loss: 0.000581 2022/09/26 18:39:40 - mmengine - INFO - Epoch(train) [93][300/586] lr: 5.000000e-04 eta: 8:09:47 time: 0.438921 data_time: 0.038636 memory: 14278 loss_kpt: 0.000567 acc_pose: 0.866209 loss: 0.000567 2022/09/26 18:40:02 - mmengine - INFO - Epoch(train) [93][350/586] lr: 5.000000e-04 eta: 8:09:27 time: 0.452946 data_time: 0.030829 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.887708 loss: 0.000587 2022/09/26 18:40:25 - mmengine - INFO - Epoch(train) [93][400/586] lr: 5.000000e-04 eta: 8:09:08 time: 0.452958 data_time: 0.030502 memory: 14278 loss_kpt: 0.000563 acc_pose: 0.888672 loss: 0.000563 2022/09/26 18:40:47 - mmengine - INFO - Epoch(train) [93][450/586] lr: 5.000000e-04 eta: 8:08:47 time: 0.433553 data_time: 0.034863 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.764491 loss: 0.000593 2022/09/26 18:41:09 - mmengine - INFO - Epoch(train) [93][500/586] lr: 5.000000e-04 eta: 8:08:26 time: 0.437635 data_time: 0.030109 memory: 14278 loss_kpt: 0.000576 acc_pose: 0.826295 loss: 0.000576 2022/09/26 18:41:31 - mmengine - INFO - Epoch(train) [93][550/586] lr: 5.000000e-04 eta: 8:08:06 time: 0.447660 data_time: 0.031111 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.853024 loss: 0.000583 2022/09/26 18:41:47 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:42:10 - mmengine - INFO - Epoch(train) [94][50/586] lr: 5.000000e-04 eta: 8:07:12 time: 0.458529 data_time: 0.038445 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.814547 loss: 0.000571 2022/09/26 18:42:31 - mmengine - INFO - Epoch(train) [94][100/586] lr: 5.000000e-04 eta: 8:06:51 time: 0.431827 data_time: 0.030586 memory: 14278 loss_kpt: 0.000563 acc_pose: 0.822656 loss: 0.000563 2022/09/26 18:42:53 - mmengine - INFO - Epoch(train) [94][150/586] lr: 5.000000e-04 eta: 8:06:30 time: 0.441740 data_time: 0.033247 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.851649 loss: 0.000570 2022/09/26 18:43:15 - mmengine - INFO - Epoch(train) [94][200/586] lr: 5.000000e-04 eta: 8:06:10 time: 0.437915 data_time: 0.039039 memory: 14278 loss_kpt: 0.000572 acc_pose: 0.805488 loss: 0.000572 2022/09/26 18:43:37 - mmengine - INFO - Epoch(train) [94][250/586] lr: 5.000000e-04 eta: 8:05:50 time: 0.443136 data_time: 0.029596 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.855707 loss: 0.000558 2022/09/26 18:44:00 - mmengine - INFO - Epoch(train) [94][300/586] lr: 5.000000e-04 eta: 8:05:30 time: 0.449837 data_time: 0.037170 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.849375 loss: 0.000571 2022/09/26 18:44:23 - mmengine - INFO - Epoch(train) [94][350/586] lr: 5.000000e-04 eta: 8:05:10 time: 0.455504 data_time: 0.032381 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.886961 loss: 0.000573 2022/09/26 18:44:44 - mmengine - INFO - Epoch(train) [94][400/586] lr: 5.000000e-04 eta: 8:04:49 time: 0.436529 data_time: 0.034541 memory: 14278 loss_kpt: 0.000586 acc_pose: 0.840264 loss: 0.000586 2022/09/26 18:45:07 - mmengine - INFO - Epoch(train) [94][450/586] lr: 5.000000e-04 eta: 8:04:29 time: 0.448788 data_time: 0.029931 memory: 14278 loss_kpt: 0.000572 acc_pose: 0.856947 loss: 0.000572 2022/09/26 18:45:29 - mmengine - INFO - Epoch(train) [94][500/586] lr: 5.000000e-04 eta: 8:04:09 time: 0.447415 data_time: 0.030257 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.887611 loss: 0.000574 2022/09/26 18:45:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:45:53 - mmengine - INFO - Epoch(train) [94][550/586] lr: 5.000000e-04 eta: 8:03:50 time: 0.465480 data_time: 0.031541 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.867702 loss: 0.000568 2022/09/26 18:46:08 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:46:32 - mmengine - INFO - Epoch(train) [95][50/586] lr: 5.000000e-04 eta: 8:02:58 time: 0.475875 data_time: 0.040735 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.817716 loss: 0.000571 2022/09/26 18:46:54 - mmengine - INFO - Epoch(train) [95][100/586] lr: 5.000000e-04 eta: 8:02:38 time: 0.444921 data_time: 0.036083 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.873325 loss: 0.000542 2022/09/26 18:47:16 - mmengine - INFO - Epoch(train) [95][150/586] lr: 5.000000e-04 eta: 8:02:17 time: 0.435337 data_time: 0.028402 memory: 14278 loss_kpt: 0.000556 acc_pose: 0.862261 loss: 0.000556 2022/09/26 18:47:38 - mmengine - INFO - Epoch(train) [95][200/586] lr: 5.000000e-04 eta: 8:01:56 time: 0.439910 data_time: 0.029923 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.857568 loss: 0.000568 2022/09/26 18:48:00 - mmengine - INFO - Epoch(train) [95][250/586] lr: 5.000000e-04 eta: 8:01:36 time: 0.444147 data_time: 0.030872 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.828841 loss: 0.000571 2022/09/26 18:48:22 - mmengine - INFO - Epoch(train) [95][300/586] lr: 5.000000e-04 eta: 8:01:15 time: 0.437424 data_time: 0.029833 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.817946 loss: 0.000570 2022/09/26 18:48:45 - mmengine - INFO - Epoch(train) [95][350/586] lr: 5.000000e-04 eta: 8:00:56 time: 0.455480 data_time: 0.030836 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.818468 loss: 0.000580 2022/09/26 18:49:07 - mmengine - INFO - Epoch(train) [95][400/586] lr: 5.000000e-04 eta: 8:00:36 time: 0.447027 data_time: 0.033096 memory: 14278 loss_kpt: 0.000556 acc_pose: 0.882663 loss: 0.000556 2022/09/26 18:49:30 - mmengine - INFO - Epoch(train) [95][450/586] lr: 5.000000e-04 eta: 8:00:16 time: 0.458384 data_time: 0.029674 memory: 14278 loss_kpt: 0.000572 acc_pose: 0.833721 loss: 0.000572 2022/09/26 18:49:52 - mmengine - INFO - Epoch(train) [95][500/586] lr: 5.000000e-04 eta: 7:59:56 time: 0.440436 data_time: 0.029608 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.885066 loss: 0.000573 2022/09/26 18:50:15 - mmengine - INFO - Epoch(train) [95][550/586] lr: 5.000000e-04 eta: 7:59:36 time: 0.452481 data_time: 0.035510 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.889383 loss: 0.000553 2022/09/26 18:50:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:50:53 - mmengine - INFO - Epoch(train) [96][50/586] lr: 5.000000e-04 eta: 7:58:42 time: 0.449128 data_time: 0.047735 memory: 14278 loss_kpt: 0.000567 acc_pose: 0.856284 loss: 0.000567 2022/09/26 18:51:15 - mmengine - INFO - Epoch(train) [96][100/586] lr: 5.000000e-04 eta: 7:58:22 time: 0.445871 data_time: 0.030212 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.884159 loss: 0.000566 2022/09/26 18:51:38 - mmengine - INFO - Epoch(train) [96][150/586] lr: 5.000000e-04 eta: 7:58:02 time: 0.449067 data_time: 0.029723 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.865208 loss: 0.000561 2022/09/26 18:52:00 - mmengine - INFO - Epoch(train) [96][200/586] lr: 5.000000e-04 eta: 7:57:42 time: 0.443513 data_time: 0.030948 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.787588 loss: 0.000574 2022/09/26 18:52:22 - mmengine - INFO - Epoch(train) [96][250/586] lr: 5.000000e-04 eta: 7:57:21 time: 0.444485 data_time: 0.028909 memory: 14278 loss_kpt: 0.000552 acc_pose: 0.855577 loss: 0.000552 2022/09/26 18:52:45 - mmengine - INFO - Epoch(train) [96][300/586] lr: 5.000000e-04 eta: 7:57:01 time: 0.446305 data_time: 0.040018 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.870712 loss: 0.000587 2022/09/26 18:52:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:53:07 - mmengine - INFO - Epoch(train) [96][350/586] lr: 5.000000e-04 eta: 7:56:41 time: 0.444593 data_time: 0.031600 memory: 14278 loss_kpt: 0.000590 acc_pose: 0.807670 loss: 0.000590 2022/09/26 18:53:30 - mmengine - INFO - Epoch(train) [96][400/586] lr: 5.000000e-04 eta: 7:56:21 time: 0.454174 data_time: 0.029279 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.846285 loss: 0.000559 2022/09/26 18:53:52 - mmengine - INFO - Epoch(train) [96][450/586] lr: 5.000000e-04 eta: 7:56:01 time: 0.452138 data_time: 0.042809 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.853146 loss: 0.000578 2022/09/26 18:54:14 - mmengine - INFO - Epoch(train) [96][500/586] lr: 5.000000e-04 eta: 7:55:41 time: 0.440113 data_time: 0.032546 memory: 14278 loss_kpt: 0.000577 acc_pose: 0.839289 loss: 0.000577 2022/09/26 18:54:36 - mmengine - INFO - Epoch(train) [96][550/586] lr: 5.000000e-04 eta: 7:55:21 time: 0.444835 data_time: 0.040218 memory: 14278 loss_kpt: 0.000563 acc_pose: 0.894334 loss: 0.000563 2022/09/26 18:54:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:55:15 - mmengine - INFO - Epoch(train) [97][50/586] lr: 5.000000e-04 eta: 7:54:28 time: 0.459658 data_time: 0.041333 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.887808 loss: 0.000565 2022/09/26 18:55:38 - mmengine - INFO - Epoch(train) [97][100/586] lr: 5.000000e-04 eta: 7:54:08 time: 0.453248 data_time: 0.029334 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.863455 loss: 0.000578 2022/09/26 18:56:00 - mmengine - INFO - Epoch(train) [97][150/586] lr: 5.000000e-04 eta: 7:53:47 time: 0.439895 data_time: 0.031084 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.870151 loss: 0.000580 2022/09/26 18:56:21 - mmengine - INFO - Epoch(train) [97][200/586] lr: 5.000000e-04 eta: 7:53:26 time: 0.434441 data_time: 0.034708 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.856494 loss: 0.000566 2022/09/26 18:56:44 - mmengine - INFO - Epoch(train) [97][250/586] lr: 5.000000e-04 eta: 7:53:07 time: 0.458519 data_time: 0.030076 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.859415 loss: 0.000561 2022/09/26 18:57:07 - mmengine - INFO - Epoch(train) [97][300/586] lr: 5.000000e-04 eta: 7:52:48 time: 0.460844 data_time: 0.030550 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.865705 loss: 0.000565 2022/09/26 18:57:29 - mmengine - INFO - Epoch(train) [97][350/586] lr: 5.000000e-04 eta: 7:52:27 time: 0.435658 data_time: 0.033122 memory: 14278 loss_kpt: 0.000580 acc_pose: 0.861717 loss: 0.000580 2022/09/26 18:57:51 - mmengine - INFO - Epoch(train) [97][400/586] lr: 5.000000e-04 eta: 7:52:06 time: 0.436223 data_time: 0.030037 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.893259 loss: 0.000562 2022/09/26 18:58:13 - mmengine - INFO - Epoch(train) [97][450/586] lr: 5.000000e-04 eta: 7:51:46 time: 0.448490 data_time: 0.035255 memory: 14278 loss_kpt: 0.000576 acc_pose: 0.880354 loss: 0.000576 2022/09/26 18:58:36 - mmengine - INFO - Epoch(train) [97][500/586] lr: 5.000000e-04 eta: 7:51:26 time: 0.449849 data_time: 0.033345 memory: 14278 loss_kpt: 0.000581 acc_pose: 0.837418 loss: 0.000581 2022/09/26 18:58:59 - mmengine - INFO - Epoch(train) [97][550/586] lr: 5.000000e-04 eta: 7:51:06 time: 0.454432 data_time: 0.028946 memory: 14278 loss_kpt: 0.000589 acc_pose: 0.819639 loss: 0.000589 2022/09/26 18:59:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 18:59:39 - mmengine - INFO - Epoch(train) [98][50/586] lr: 5.000000e-04 eta: 7:50:15 time: 0.479023 data_time: 0.043644 memory: 14278 loss_kpt: 0.000582 acc_pose: 0.794989 loss: 0.000582 2022/09/26 19:00:01 - mmengine - INFO - Epoch(train) [98][100/586] lr: 5.000000e-04 eta: 7:49:55 time: 0.448334 data_time: 0.034189 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.843409 loss: 0.000553 2022/09/26 19:00:24 - mmengine - INFO - Epoch(train) [98][150/586] lr: 5.000000e-04 eta: 7:49:35 time: 0.455620 data_time: 0.031414 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.812651 loss: 0.000566 2022/09/26 19:00:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:00:47 - mmengine - INFO - Epoch(train) [98][200/586] lr: 5.000000e-04 eta: 7:49:16 time: 0.457695 data_time: 0.029435 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.819456 loss: 0.000562 2022/09/26 19:01:09 - mmengine - INFO - Epoch(train) [98][250/586] lr: 5.000000e-04 eta: 7:48:55 time: 0.444656 data_time: 0.031102 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.791550 loss: 0.000557 2022/09/26 19:01:31 - mmengine - INFO - Epoch(train) [98][300/586] lr: 5.000000e-04 eta: 7:48:35 time: 0.444100 data_time: 0.032170 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.874992 loss: 0.000544 2022/09/26 19:01:54 - mmengine - INFO - Epoch(train) [98][350/586] lr: 5.000000e-04 eta: 7:48:15 time: 0.450275 data_time: 0.029244 memory: 14278 loss_kpt: 0.000590 acc_pose: 0.770195 loss: 0.000590 2022/09/26 19:02:17 - mmengine - INFO - Epoch(train) [98][400/586] lr: 5.000000e-04 eta: 7:47:56 time: 0.468221 data_time: 0.040839 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.906978 loss: 0.000564 2022/09/26 19:02:39 - mmengine - INFO - Epoch(train) [98][450/586] lr: 5.000000e-04 eta: 7:47:36 time: 0.446589 data_time: 0.030263 memory: 14278 loss_kpt: 0.000556 acc_pose: 0.874309 loss: 0.000556 2022/09/26 19:03:02 - mmengine - INFO - Epoch(train) [98][500/586] lr: 5.000000e-04 eta: 7:47:16 time: 0.446790 data_time: 0.029278 memory: 14278 loss_kpt: 0.000593 acc_pose: 0.852055 loss: 0.000593 2022/09/26 19:03:25 - mmengine - INFO - Epoch(train) [98][550/586] lr: 5.000000e-04 eta: 7:46:57 time: 0.463649 data_time: 0.032769 memory: 14278 loss_kpt: 0.000556 acc_pose: 0.858894 loss: 0.000556 2022/09/26 19:03:41 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:04:04 - mmengine - INFO - Epoch(train) [99][50/586] lr: 5.000000e-04 eta: 7:46:04 time: 0.458086 data_time: 0.038437 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.820075 loss: 0.000565 2022/09/26 19:04:28 - mmengine - INFO - Epoch(train) [99][100/586] lr: 5.000000e-04 eta: 7:45:45 time: 0.461642 data_time: 0.031100 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.835124 loss: 0.000546 2022/09/26 19:04:50 - mmengine - INFO - Epoch(train) [99][150/586] lr: 5.000000e-04 eta: 7:45:25 time: 0.447316 data_time: 0.032677 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.831951 loss: 0.000555 2022/09/26 19:05:12 - mmengine - INFO - Epoch(train) [99][200/586] lr: 5.000000e-04 eta: 7:45:04 time: 0.438187 data_time: 0.031449 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.832716 loss: 0.000557 2022/09/26 19:05:34 - mmengine - INFO - Epoch(train) [99][250/586] lr: 5.000000e-04 eta: 7:44:44 time: 0.439206 data_time: 0.031123 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.831327 loss: 0.000587 2022/09/26 19:05:56 - mmengine - INFO - Epoch(train) [99][300/586] lr: 5.000000e-04 eta: 7:44:23 time: 0.439691 data_time: 0.036832 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.836523 loss: 0.000549 2022/09/26 19:06:19 - mmengine - INFO - Epoch(train) [99][350/586] lr: 5.000000e-04 eta: 7:44:03 time: 0.454848 data_time: 0.031520 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.897514 loss: 0.000570 2022/09/26 19:06:41 - mmengine - INFO - Epoch(train) [99][400/586] lr: 5.000000e-04 eta: 7:43:43 time: 0.446104 data_time: 0.029010 memory: 14278 loss_kpt: 0.000587 acc_pose: 0.834852 loss: 0.000587 2022/09/26 19:07:03 - mmengine - INFO - Epoch(train) [99][450/586] lr: 5.000000e-04 eta: 7:43:23 time: 0.446348 data_time: 0.030119 memory: 14278 loss_kpt: 0.000577 acc_pose: 0.873184 loss: 0.000577 2022/09/26 19:07:26 - mmengine - INFO - Epoch(train) [99][500/586] lr: 5.000000e-04 eta: 7:43:03 time: 0.456713 data_time: 0.033720 memory: 14278 loss_kpt: 0.000567 acc_pose: 0.821487 loss: 0.000567 2022/09/26 19:07:49 - mmengine - INFO - Epoch(train) [99][550/586] lr: 5.000000e-04 eta: 7:42:43 time: 0.450384 data_time: 0.044961 memory: 14278 loss_kpt: 0.000567 acc_pose: 0.816536 loss: 0.000567 2022/09/26 19:07:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:08:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:08:29 - mmengine - INFO - Epoch(train) [100][50/586] lr: 5.000000e-04 eta: 7:41:51 time: 0.462059 data_time: 0.039529 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.852482 loss: 0.000559 2022/09/26 19:08:51 - mmengine - INFO - Epoch(train) [100][100/586] lr: 5.000000e-04 eta: 7:41:31 time: 0.443807 data_time: 0.036332 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.788930 loss: 0.000562 2022/09/26 19:09:16 - mmengine - INFO - Epoch(train) [100][150/586] lr: 5.000000e-04 eta: 7:41:14 time: 0.496741 data_time: 0.033223 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.854010 loss: 0.000566 2022/09/26 19:09:38 - mmengine - INFO - Epoch(train) [100][200/586] lr: 5.000000e-04 eta: 7:40:54 time: 0.448826 data_time: 0.033050 memory: 14278 loss_kpt: 0.000579 acc_pose: 0.863978 loss: 0.000579 2022/09/26 19:10:01 - mmengine - INFO - Epoch(train) [100][250/586] lr: 5.000000e-04 eta: 7:40:34 time: 0.457666 data_time: 0.035271 memory: 14278 loss_kpt: 0.000563 acc_pose: 0.833675 loss: 0.000563 2022/09/26 19:10:24 - mmengine - INFO - Epoch(train) [100][300/586] lr: 5.000000e-04 eta: 7:40:14 time: 0.450417 data_time: 0.032899 memory: 14278 loss_kpt: 0.000560 acc_pose: 0.838956 loss: 0.000560 2022/09/26 19:10:45 - mmengine - INFO - Epoch(train) [100][350/586] lr: 5.000000e-04 eta: 7:39:53 time: 0.433001 data_time: 0.032644 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.819051 loss: 0.000565 2022/09/26 19:11:08 - mmengine - INFO - Epoch(train) [100][400/586] lr: 5.000000e-04 eta: 7:39:33 time: 0.449444 data_time: 0.033303 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.800933 loss: 0.000562 2022/09/26 19:11:30 - mmengine - INFO - Epoch(train) [100][450/586] lr: 5.000000e-04 eta: 7:39:13 time: 0.444182 data_time: 0.031193 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.884450 loss: 0.000555 2022/09/26 19:11:52 - mmengine - INFO - Epoch(train) [100][500/586] lr: 5.000000e-04 eta: 7:38:53 time: 0.449965 data_time: 0.034482 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.892141 loss: 0.000562 2022/09/26 19:12:16 - mmengine - INFO - Epoch(train) [100][550/586] lr: 5.000000e-04 eta: 7:38:33 time: 0.467036 data_time: 0.036606 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.899251 loss: 0.000562 2022/09/26 19:12:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:12:31 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/09/26 19:12:57 - mmengine - INFO - Epoch(val) [100][50/407] eta: 0:02:08 time: 0.358692 data_time: 0.113724 memory: 14278 2022/09/26 19:13:14 - mmengine - INFO - Epoch(val) [100][100/407] eta: 0:01:48 time: 0.352668 data_time: 0.088906 memory: 2124 2022/09/26 19:13:31 - mmengine - INFO - Epoch(val) [100][150/407] eta: 0:01:24 time: 0.327315 data_time: 0.089734 memory: 2124 2022/09/26 19:13:49 - mmengine - INFO - Epoch(val) [100][200/407] eta: 0:01:15 time: 0.365885 data_time: 0.119945 memory: 2124 2022/09/26 19:14:06 - mmengine - INFO - Epoch(val) [100][250/407] eta: 0:00:52 time: 0.332036 data_time: 0.098270 memory: 2124 2022/09/26 19:14:23 - mmengine - INFO - Epoch(val) [100][300/407] eta: 0:00:36 time: 0.338546 data_time: 0.089328 memory: 2124 2022/09/26 19:14:40 - mmengine - INFO - Epoch(val) [100][350/407] eta: 0:00:19 time: 0.345474 data_time: 0.102242 memory: 2124 2022/09/26 19:14:51 - mmengine - INFO - Epoch(val) [100][400/407] eta: 0:00:01 time: 0.226809 data_time: 0.057618 memory: 2124 2022/09/26 19:15:24 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 19:15:37 - mmengine - INFO - Epoch(val) [100][407/407] coco/AP: 0.739455 coco/AP .5: 0.899744 coco/AP .75: 0.812674 coco/AP (M): 0.697740 coco/AP (L): 0.812160 coco/AR: 0.791940 coco/AR .5: 0.937028 coco/AR .75: 0.855951 coco/AR (M): 0.745916 coco/AR (L): 0.858789 2022/09/26 19:15:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_90.pth is removed 2022/09/26 19:15:41 - mmengine - INFO - The best checkpoint with 0.7395 coco/AP at 100 epoch is saved to best_coco/AP_epoch_100.pth. 2022/09/26 19:16:03 - mmengine - INFO - Epoch(train) [101][50/586] lr: 5.000000e-04 eta: 7:37:41 time: 0.445253 data_time: 0.037131 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.878434 loss: 0.000561 2022/09/26 19:16:26 - mmengine - INFO - Epoch(train) [101][100/586] lr: 5.000000e-04 eta: 7:37:21 time: 0.444086 data_time: 0.028917 memory: 14278 loss_kpt: 0.000600 acc_pose: 0.887594 loss: 0.000600 2022/09/26 19:16:48 - mmengine - INFO - Epoch(train) [101][150/586] lr: 5.000000e-04 eta: 7:37:00 time: 0.445314 data_time: 0.030048 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.869655 loss: 0.000569 2022/09/26 19:17:11 - mmengine - INFO - Epoch(train) [101][200/586] lr: 5.000000e-04 eta: 7:36:41 time: 0.459490 data_time: 0.032126 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.860424 loss: 0.000558 2022/09/26 19:17:33 - mmengine - INFO - Epoch(train) [101][250/586] lr: 5.000000e-04 eta: 7:36:21 time: 0.451852 data_time: 0.037262 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.867165 loss: 0.000568 2022/09/26 19:17:55 - mmengine - INFO - Epoch(train) [101][300/586] lr: 5.000000e-04 eta: 7:36:00 time: 0.437740 data_time: 0.029431 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.923510 loss: 0.000559 2022/09/26 19:18:18 - mmengine - INFO - Epoch(train) [101][350/586] lr: 5.000000e-04 eta: 7:35:41 time: 0.461696 data_time: 0.032913 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.881267 loss: 0.000558 2022/09/26 19:18:41 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:18:41 - mmengine - INFO - Epoch(train) [101][400/586] lr: 5.000000e-04 eta: 7:35:21 time: 0.455267 data_time: 0.032046 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.768044 loss: 0.000559 2022/09/26 19:19:05 - mmengine - INFO - Epoch(train) [101][450/586] lr: 5.000000e-04 eta: 7:35:02 time: 0.473020 data_time: 0.029846 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.788258 loss: 0.000573 2022/09/26 19:19:28 - mmengine - INFO - Epoch(train) [101][500/586] lr: 5.000000e-04 eta: 7:34:43 time: 0.462799 data_time: 0.038734 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.846617 loss: 0.000573 2022/09/26 19:19:51 - mmengine - INFO - Epoch(train) [101][550/586] lr: 5.000000e-04 eta: 7:34:23 time: 0.459371 data_time: 0.031784 memory: 14278 loss_kpt: 0.000577 acc_pose: 0.827793 loss: 0.000577 2022/09/26 19:20:08 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:20:31 - mmengine - INFO - Epoch(train) [102][50/586] lr: 5.000000e-04 eta: 7:33:32 time: 0.455268 data_time: 0.051554 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.886405 loss: 0.000570 2022/09/26 19:20:55 - mmengine - INFO - Epoch(train) [102][100/586] lr: 5.000000e-04 eta: 7:33:13 time: 0.469253 data_time: 0.031670 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.814606 loss: 0.000574 2022/09/26 19:21:18 - mmengine - INFO - Epoch(train) [102][150/586] lr: 5.000000e-04 eta: 7:32:53 time: 0.454567 data_time: 0.040423 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.885254 loss: 0.000557 2022/09/26 19:21:39 - mmengine - INFO - Epoch(train) [102][200/586] lr: 5.000000e-04 eta: 7:32:32 time: 0.439126 data_time: 0.032672 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.812739 loss: 0.000574 2022/09/26 19:22:01 - mmengine - INFO - Epoch(train) [102][250/586] lr: 5.000000e-04 eta: 7:32:11 time: 0.439255 data_time: 0.030380 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.825244 loss: 0.000564 2022/09/26 19:22:24 - mmengine - INFO - Epoch(train) [102][300/586] lr: 5.000000e-04 eta: 7:31:51 time: 0.443217 data_time: 0.030648 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.848213 loss: 0.000558 2022/09/26 19:22:46 - mmengine - INFO - Epoch(train) [102][350/586] lr: 5.000000e-04 eta: 7:31:30 time: 0.440803 data_time: 0.030985 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.905692 loss: 0.000539 2022/09/26 19:23:08 - mmengine - INFO - Epoch(train) [102][400/586] lr: 5.000000e-04 eta: 7:31:10 time: 0.447105 data_time: 0.029723 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.837070 loss: 0.000568 2022/09/26 19:23:31 - mmengine - INFO - Epoch(train) [102][450/586] lr: 5.000000e-04 eta: 7:30:51 time: 0.456880 data_time: 0.030206 memory: 14278 loss_kpt: 0.000579 acc_pose: 0.841504 loss: 0.000579 2022/09/26 19:23:55 - mmengine - INFO - Epoch(train) [102][500/586] lr: 5.000000e-04 eta: 7:30:32 time: 0.472065 data_time: 0.030782 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.825856 loss: 0.000546 2022/09/26 19:24:17 - mmengine - INFO - Epoch(train) [102][550/586] lr: 5.000000e-04 eta: 7:30:11 time: 0.444896 data_time: 0.032325 memory: 14278 loss_kpt: 0.000579 acc_pose: 0.892037 loss: 0.000579 2022/09/26 19:24:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:24:57 - mmengine - INFO - Epoch(train) [103][50/586] lr: 5.000000e-04 eta: 7:29:20 time: 0.465931 data_time: 0.049881 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.802380 loss: 0.000578 2022/09/26 19:25:22 - mmengine - INFO - Epoch(train) [103][100/586] lr: 5.000000e-04 eta: 7:29:02 time: 0.485060 data_time: 0.042408 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.845111 loss: 0.000578 2022/09/26 19:25:43 - mmengine - INFO - Epoch(train) [103][150/586] lr: 5.000000e-04 eta: 7:28:41 time: 0.434913 data_time: 0.030472 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.886920 loss: 0.000549 2022/09/26 19:26:06 - mmengine - INFO - Epoch(train) [103][200/586] lr: 5.000000e-04 eta: 7:28:21 time: 0.453810 data_time: 0.033233 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.887097 loss: 0.000570 2022/09/26 19:26:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:26:28 - mmengine - INFO - Epoch(train) [103][250/586] lr: 5.000000e-04 eta: 7:28:01 time: 0.443243 data_time: 0.030074 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.854003 loss: 0.000570 2022/09/26 19:26:51 - mmengine - INFO - Epoch(train) [103][300/586] lr: 5.000000e-04 eta: 7:27:41 time: 0.460288 data_time: 0.030401 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.828472 loss: 0.000553 2022/09/26 19:27:14 - mmengine - INFO - Epoch(train) [103][350/586] lr: 5.000000e-04 eta: 7:27:21 time: 0.447535 data_time: 0.032219 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.905772 loss: 0.000569 2022/09/26 19:27:35 - mmengine - INFO - Epoch(train) [103][400/586] lr: 5.000000e-04 eta: 7:27:00 time: 0.433926 data_time: 0.030441 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.840032 loss: 0.000573 2022/09/26 19:27:58 - mmengine - INFO - Epoch(train) [103][450/586] lr: 5.000000e-04 eta: 7:26:40 time: 0.452983 data_time: 0.031330 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.901205 loss: 0.000562 2022/09/26 19:28:20 - mmengine - INFO - Epoch(train) [103][500/586] lr: 5.000000e-04 eta: 7:26:20 time: 0.438921 data_time: 0.031063 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.861947 loss: 0.000564 2022/09/26 19:28:43 - mmengine - INFO - Epoch(train) [103][550/586] lr: 5.000000e-04 eta: 7:26:00 time: 0.451066 data_time: 0.029851 memory: 14278 loss_kpt: 0.000575 acc_pose: 0.846988 loss: 0.000575 2022/09/26 19:28:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:29:21 - mmengine - INFO - Epoch(train) [104][50/586] lr: 5.000000e-04 eta: 7:25:08 time: 0.453175 data_time: 0.037155 memory: 14278 loss_kpt: 0.000550 acc_pose: 0.832119 loss: 0.000550 2022/09/26 19:29:45 - mmengine - INFO - Epoch(train) [104][100/586] lr: 5.000000e-04 eta: 7:24:50 time: 0.472739 data_time: 0.038078 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.833880 loss: 0.000544 2022/09/26 19:30:08 - mmengine - INFO - Epoch(train) [104][150/586] lr: 5.000000e-04 eta: 7:24:30 time: 0.465013 data_time: 0.032877 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.887685 loss: 0.000568 2022/09/26 19:30:31 - mmengine - INFO - Epoch(train) [104][200/586] lr: 5.000000e-04 eta: 7:24:10 time: 0.454249 data_time: 0.029959 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.821002 loss: 0.000562 2022/09/26 19:30:54 - mmengine - INFO - Epoch(train) [104][250/586] lr: 5.000000e-04 eta: 7:23:51 time: 0.461614 data_time: 0.036646 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.871173 loss: 0.000573 2022/09/26 19:31:18 - mmengine - INFO - Epoch(train) [104][300/586] lr: 5.000000e-04 eta: 7:23:32 time: 0.480469 data_time: 0.032848 memory: 14278 loss_kpt: 0.000586 acc_pose: 0.847651 loss: 0.000586 2022/09/26 19:31:40 - mmengine - INFO - Epoch(train) [104][350/586] lr: 5.000000e-04 eta: 7:23:12 time: 0.442187 data_time: 0.033235 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.799335 loss: 0.000571 2022/09/26 19:32:01 - mmengine - INFO - Epoch(train) [104][400/586] lr: 5.000000e-04 eta: 7:22:51 time: 0.429293 data_time: 0.029723 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.851650 loss: 0.000553 2022/09/26 19:32:25 - mmengine - INFO - Epoch(train) [104][450/586] lr: 5.000000e-04 eta: 7:22:31 time: 0.467456 data_time: 0.031811 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.857205 loss: 0.000559 2022/09/26 19:32:47 - mmengine - INFO - Epoch(train) [104][500/586] lr: 5.000000e-04 eta: 7:22:11 time: 0.449685 data_time: 0.035395 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.736940 loss: 0.000564 2022/09/26 19:33:09 - mmengine - INFO - Epoch(train) [104][550/586] lr: 5.000000e-04 eta: 7:21:51 time: 0.439317 data_time: 0.030760 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.874144 loss: 0.000561 2022/09/26 19:33:26 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:33:49 - mmengine - INFO - Epoch(train) [105][50/586] lr: 5.000000e-04 eta: 7:20:59 time: 0.449924 data_time: 0.040142 memory: 14278 loss_kpt: 0.000571 acc_pose: 0.867355 loss: 0.000571 2022/09/26 19:33:51 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:34:11 - mmengine - INFO - Epoch(train) [105][100/586] lr: 5.000000e-04 eta: 7:20:40 time: 0.455527 data_time: 0.029298 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.844403 loss: 0.000564 2022/09/26 19:34:34 - mmengine - INFO - Epoch(train) [105][150/586] lr: 5.000000e-04 eta: 7:20:19 time: 0.445515 data_time: 0.043133 memory: 14278 loss_kpt: 0.000575 acc_pose: 0.821431 loss: 0.000575 2022/09/26 19:34:57 - mmengine - INFO - Epoch(train) [105][200/586] lr: 5.000000e-04 eta: 7:20:00 time: 0.469208 data_time: 0.032404 memory: 14278 loss_kpt: 0.000576 acc_pose: 0.897918 loss: 0.000576 2022/09/26 19:35:20 - mmengine - INFO - Epoch(train) [105][250/586] lr: 5.000000e-04 eta: 7:19:41 time: 0.463652 data_time: 0.031243 memory: 14278 loss_kpt: 0.000574 acc_pose: 0.866337 loss: 0.000574 2022/09/26 19:35:42 - mmengine - INFO - Epoch(train) [105][300/586] lr: 5.000000e-04 eta: 7:19:20 time: 0.440846 data_time: 0.031003 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.860300 loss: 0.000565 2022/09/26 19:36:05 - mmengine - INFO - Epoch(train) [105][350/586] lr: 5.000000e-04 eta: 7:19:00 time: 0.448543 data_time: 0.030589 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.865131 loss: 0.000549 2022/09/26 19:36:27 - mmengine - INFO - Epoch(train) [105][400/586] lr: 5.000000e-04 eta: 7:18:40 time: 0.450792 data_time: 0.040652 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.914431 loss: 0.000569 2022/09/26 19:36:50 - mmengine - INFO - Epoch(train) [105][450/586] lr: 5.000000e-04 eta: 7:18:19 time: 0.443175 data_time: 0.030346 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.829667 loss: 0.000573 2022/09/26 19:37:11 - mmengine - INFO - Epoch(train) [105][500/586] lr: 5.000000e-04 eta: 7:17:58 time: 0.433353 data_time: 0.029061 memory: 14278 loss_kpt: 0.000554 acc_pose: 0.870846 loss: 0.000554 2022/09/26 19:37:34 - mmengine - INFO - Epoch(train) [105][550/586] lr: 5.000000e-04 eta: 7:17:39 time: 0.461935 data_time: 0.031859 memory: 14278 loss_kpt: 0.000563 acc_pose: 0.874478 loss: 0.000563 2022/09/26 19:37:51 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:38:15 - mmengine - INFO - Epoch(train) [106][50/586] lr: 5.000000e-04 eta: 7:16:49 time: 0.467850 data_time: 0.039765 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.896774 loss: 0.000549 2022/09/26 19:38:37 - mmengine - INFO - Epoch(train) [106][100/586] lr: 5.000000e-04 eta: 7:16:28 time: 0.441500 data_time: 0.032652 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.842628 loss: 0.000566 2022/09/26 19:38:59 - mmengine - INFO - Epoch(train) [106][150/586] lr: 5.000000e-04 eta: 7:16:08 time: 0.442881 data_time: 0.033404 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.869101 loss: 0.000562 2022/09/26 19:39:21 - mmengine - INFO - Epoch(train) [106][200/586] lr: 5.000000e-04 eta: 7:15:47 time: 0.446560 data_time: 0.030406 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.808428 loss: 0.000558 2022/09/26 19:39:44 - mmengine - INFO - Epoch(train) [106][250/586] lr: 5.000000e-04 eta: 7:15:28 time: 0.464080 data_time: 0.031039 memory: 14278 loss_kpt: 0.000572 acc_pose: 0.852999 loss: 0.000572 2022/09/26 19:40:07 - mmengine - INFO - Epoch(train) [106][300/586] lr: 5.000000e-04 eta: 7:15:08 time: 0.459060 data_time: 0.034195 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.847633 loss: 0.000549 2022/09/26 19:40:31 - mmengine - INFO - Epoch(train) [106][350/586] lr: 5.000000e-04 eta: 7:14:49 time: 0.474179 data_time: 0.032510 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.840357 loss: 0.000558 2022/09/26 19:40:53 - mmengine - INFO - Epoch(train) [106][400/586] lr: 5.000000e-04 eta: 7:14:29 time: 0.440381 data_time: 0.029557 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.890940 loss: 0.000539 2022/09/26 19:41:16 - mmengine - INFO - Epoch(train) [106][450/586] lr: 5.000000e-04 eta: 7:14:09 time: 0.461085 data_time: 0.031243 memory: 14278 loss_kpt: 0.000579 acc_pose: 0.888644 loss: 0.000579 2022/09/26 19:41:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:41:39 - mmengine - INFO - Epoch(train) [106][500/586] lr: 5.000000e-04 eta: 7:13:49 time: 0.457903 data_time: 0.033296 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.825970 loss: 0.000561 2022/09/26 19:42:01 - mmengine - INFO - Epoch(train) [106][550/586] lr: 5.000000e-04 eta: 7:13:29 time: 0.441795 data_time: 0.032928 memory: 14278 loss_kpt: 0.000573 acc_pose: 0.814881 loss: 0.000573 2022/09/26 19:42:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:42:41 - mmengine - INFO - Epoch(train) [107][50/586] lr: 5.000000e-04 eta: 7:12:39 time: 0.468890 data_time: 0.043188 memory: 14278 loss_kpt: 0.000556 acc_pose: 0.842732 loss: 0.000556 2022/09/26 19:43:04 - mmengine - INFO - Epoch(train) [107][100/586] lr: 5.000000e-04 eta: 7:12:19 time: 0.444872 data_time: 0.029557 memory: 14278 loss_kpt: 0.000562 acc_pose: 0.907538 loss: 0.000562 2022/09/26 19:43:26 - mmengine - INFO - Epoch(train) [107][150/586] lr: 5.000000e-04 eta: 7:11:58 time: 0.442362 data_time: 0.032188 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.846235 loss: 0.000569 2022/09/26 19:43:49 - mmengine - INFO - Epoch(train) [107][200/586] lr: 5.000000e-04 eta: 7:11:39 time: 0.461602 data_time: 0.030146 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.884421 loss: 0.000557 2022/09/26 19:44:11 - mmengine - INFO - Epoch(train) [107][250/586] lr: 5.000000e-04 eta: 7:11:18 time: 0.445085 data_time: 0.032206 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.839855 loss: 0.000583 2022/09/26 19:44:33 - mmengine - INFO - Epoch(train) [107][300/586] lr: 5.000000e-04 eta: 7:10:58 time: 0.445071 data_time: 0.032722 memory: 14278 loss_kpt: 0.000560 acc_pose: 0.833365 loss: 0.000560 2022/09/26 19:44:56 - mmengine - INFO - Epoch(train) [107][350/586] lr: 5.000000e-04 eta: 7:10:38 time: 0.454809 data_time: 0.032784 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.854603 loss: 0.000542 2022/09/26 19:45:18 - mmengine - INFO - Epoch(train) [107][400/586] lr: 5.000000e-04 eta: 7:10:17 time: 0.437297 data_time: 0.031291 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.856295 loss: 0.000564 2022/09/26 19:45:41 - mmengine - INFO - Epoch(train) [107][450/586] lr: 5.000000e-04 eta: 7:09:57 time: 0.457297 data_time: 0.037220 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.864935 loss: 0.000557 2022/09/26 19:46:03 - mmengine - INFO - Epoch(train) [107][500/586] lr: 5.000000e-04 eta: 7:09:36 time: 0.435661 data_time: 0.030652 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.804437 loss: 0.000566 2022/09/26 19:46:26 - mmengine - INFO - Epoch(train) [107][550/586] lr: 5.000000e-04 eta: 7:09:16 time: 0.456975 data_time: 0.030181 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.909404 loss: 0.000551 2022/09/26 19:46:41 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:47:06 - mmengine - INFO - Epoch(train) [108][50/586] lr: 5.000000e-04 eta: 7:08:28 time: 0.491364 data_time: 0.039721 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.833905 loss: 0.000559 2022/09/26 19:47:29 - mmengine - INFO - Epoch(train) [108][100/586] lr: 5.000000e-04 eta: 7:08:08 time: 0.457233 data_time: 0.032055 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.829800 loss: 0.000553 2022/09/26 19:47:52 - mmengine - INFO - Epoch(train) [108][150/586] lr: 5.000000e-04 eta: 7:07:48 time: 0.452665 data_time: 0.029272 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.830694 loss: 0.000553 2022/09/26 19:48:15 - mmengine - INFO - Epoch(train) [108][200/586] lr: 5.000000e-04 eta: 7:07:28 time: 0.458765 data_time: 0.031987 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.886520 loss: 0.000565 2022/09/26 19:48:37 - mmengine - INFO - Epoch(train) [108][250/586] lr: 5.000000e-04 eta: 7:07:08 time: 0.452772 data_time: 0.032097 memory: 14278 loss_kpt: 0.000554 acc_pose: 0.835872 loss: 0.000554 2022/09/26 19:48:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:48:59 - mmengine - INFO - Epoch(train) [108][300/586] lr: 5.000000e-04 eta: 7:06:48 time: 0.437409 data_time: 0.028898 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.871026 loss: 0.000561 2022/09/26 19:49:21 - mmengine - INFO - Epoch(train) [108][350/586] lr: 5.000000e-04 eta: 7:06:27 time: 0.436268 data_time: 0.030026 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.788524 loss: 0.000568 2022/09/26 19:49:44 - mmengine - INFO - Epoch(train) [108][400/586] lr: 5.000000e-04 eta: 7:06:07 time: 0.459401 data_time: 0.037705 memory: 14278 loss_kpt: 0.000560 acc_pose: 0.814161 loss: 0.000560 2022/09/26 19:50:06 - mmengine - INFO - Epoch(train) [108][450/586] lr: 5.000000e-04 eta: 7:05:47 time: 0.445218 data_time: 0.029441 memory: 14278 loss_kpt: 0.000548 acc_pose: 0.885477 loss: 0.000548 2022/09/26 19:50:28 - mmengine - INFO - Epoch(train) [108][500/586] lr: 5.000000e-04 eta: 7:05:26 time: 0.435443 data_time: 0.030227 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.843206 loss: 0.000559 2022/09/26 19:50:51 - mmengine - INFO - Epoch(train) [108][550/586] lr: 5.000000e-04 eta: 7:05:06 time: 0.466737 data_time: 0.029932 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.913480 loss: 0.000544 2022/09/26 19:51:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:51:31 - mmengine - INFO - Epoch(train) [109][50/586] lr: 5.000000e-04 eta: 7:04:17 time: 0.465431 data_time: 0.040927 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.847575 loss: 0.000565 2022/09/26 19:51:53 - mmengine - INFO - Epoch(train) [109][100/586] lr: 5.000000e-04 eta: 7:03:56 time: 0.440404 data_time: 0.029684 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.843398 loss: 0.000558 2022/09/26 19:52:15 - mmengine - INFO - Epoch(train) [109][150/586] lr: 5.000000e-04 eta: 7:03:36 time: 0.445975 data_time: 0.028645 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.859307 loss: 0.000566 2022/09/26 19:52:37 - mmengine - INFO - Epoch(train) [109][200/586] lr: 5.000000e-04 eta: 7:03:15 time: 0.444587 data_time: 0.029711 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.908656 loss: 0.000565 2022/09/26 19:53:00 - mmengine - INFO - Epoch(train) [109][250/586] lr: 5.000000e-04 eta: 7:02:56 time: 0.465999 data_time: 0.036368 memory: 14278 loss_kpt: 0.000550 acc_pose: 0.822217 loss: 0.000550 2022/09/26 19:53:23 - mmengine - INFO - Epoch(train) [109][300/586] lr: 5.000000e-04 eta: 7:02:36 time: 0.450302 data_time: 0.037843 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.894218 loss: 0.000568 2022/09/26 19:53:46 - mmengine - INFO - Epoch(train) [109][350/586] lr: 5.000000e-04 eta: 7:02:16 time: 0.463483 data_time: 0.032215 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.878011 loss: 0.000531 2022/09/26 19:54:08 - mmengine - INFO - Epoch(train) [109][400/586] lr: 5.000000e-04 eta: 7:01:55 time: 0.438277 data_time: 0.031886 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.855587 loss: 0.000542 2022/09/26 19:54:30 - mmengine - INFO - Epoch(train) [109][450/586] lr: 5.000000e-04 eta: 7:01:35 time: 0.441859 data_time: 0.031851 memory: 14278 loss_kpt: 0.000578 acc_pose: 0.846799 loss: 0.000578 2022/09/26 19:54:52 - mmengine - INFO - Epoch(train) [109][500/586] lr: 5.000000e-04 eta: 7:01:14 time: 0.440606 data_time: 0.032270 memory: 14278 loss_kpt: 0.000567 acc_pose: 0.786815 loss: 0.000567 2022/09/26 19:55:15 - mmengine - INFO - Epoch(train) [109][550/586] lr: 5.000000e-04 eta: 7:00:55 time: 0.463233 data_time: 0.037013 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.870556 loss: 0.000549 2022/09/26 19:55:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:55:55 - mmengine - INFO - Epoch(train) [110][50/586] lr: 5.000000e-04 eta: 7:00:06 time: 0.474613 data_time: 0.038844 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.806570 loss: 0.000561 2022/09/26 19:56:18 - mmengine - INFO - Epoch(train) [110][100/586] lr: 5.000000e-04 eta: 6:59:46 time: 0.463318 data_time: 0.030579 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.895497 loss: 0.000553 2022/09/26 19:56:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:56:40 - mmengine - INFO - Epoch(train) [110][150/586] lr: 5.000000e-04 eta: 6:59:26 time: 0.441264 data_time: 0.030086 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.845123 loss: 0.000553 2022/09/26 19:57:04 - mmengine - INFO - Epoch(train) [110][200/586] lr: 5.000000e-04 eta: 6:59:06 time: 0.467831 data_time: 0.038474 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.881047 loss: 0.000583 2022/09/26 19:57:26 - mmengine - INFO - Epoch(train) [110][250/586] lr: 5.000000e-04 eta: 6:58:46 time: 0.442789 data_time: 0.034855 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.812817 loss: 0.000547 2022/09/26 19:57:48 - mmengine - INFO - Epoch(train) [110][300/586] lr: 5.000000e-04 eta: 6:58:25 time: 0.430539 data_time: 0.030452 memory: 14278 loss_kpt: 0.000554 acc_pose: 0.805311 loss: 0.000554 2022/09/26 19:58:10 - mmengine - INFO - Epoch(train) [110][350/586] lr: 5.000000e-04 eta: 6:58:04 time: 0.449521 data_time: 0.032391 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.813779 loss: 0.000557 2022/09/26 19:58:33 - mmengine - INFO - Epoch(train) [110][400/586] lr: 5.000000e-04 eta: 6:57:45 time: 0.461798 data_time: 0.031843 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.910157 loss: 0.000549 2022/09/26 19:58:56 - mmengine - INFO - Epoch(train) [110][450/586] lr: 5.000000e-04 eta: 6:57:24 time: 0.446061 data_time: 0.029091 memory: 14278 loss_kpt: 0.000583 acc_pose: 0.845710 loss: 0.000583 2022/09/26 19:59:19 - mmengine - INFO - Epoch(train) [110][500/586] lr: 5.000000e-04 eta: 6:57:05 time: 0.462168 data_time: 0.043069 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.888694 loss: 0.000570 2022/09/26 19:59:41 - mmengine - INFO - Epoch(train) [110][550/586] lr: 5.000000e-04 eta: 6:56:44 time: 0.438684 data_time: 0.030841 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.871195 loss: 0.000543 2022/09/26 19:59:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 19:59:57 - mmengine - INFO - Saving checkpoint at 110 epochs 2022/09/26 20:00:26 - mmengine - INFO - Epoch(val) [110][50/407] eta: 0:02:06 time: 0.353983 data_time: 0.117953 memory: 14278 2022/09/26 20:00:43 - mmengine - INFO - Epoch(val) [110][100/407] eta: 0:01:41 time: 0.331148 data_time: 0.093432 memory: 2124 2022/09/26 20:01:00 - mmengine - INFO - Epoch(val) [110][150/407] eta: 0:01:26 time: 0.336971 data_time: 0.085144 memory: 2124 2022/09/26 20:01:16 - mmengine - INFO - Epoch(val) [110][200/407] eta: 0:01:08 time: 0.331449 data_time: 0.069963 memory: 2124 2022/09/26 20:01:33 - mmengine - INFO - Epoch(val) [110][250/407] eta: 0:00:53 time: 0.340346 data_time: 0.090452 memory: 2124 2022/09/26 20:01:51 - mmengine - INFO - Epoch(val) [110][300/407] eta: 0:00:37 time: 0.349962 data_time: 0.107258 memory: 2124 2022/09/26 20:02:08 - mmengine - INFO - Epoch(val) [110][350/407] eta: 0:00:19 time: 0.342643 data_time: 0.096067 memory: 2124 2022/09/26 20:02:17 - mmengine - INFO - Epoch(val) [110][400/407] eta: 0:00:01 time: 0.174874 data_time: 0.032674 memory: 2124 2022/09/26 20:02:50 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 20:03:03 - mmengine - INFO - Epoch(val) [110][407/407] coco/AP: 0.741446 coco/AP .5: 0.900822 coco/AP .75: 0.810774 coco/AP (M): 0.700939 coco/AP (L): 0.812376 coco/AR: 0.793608 coco/AR .5: 0.938130 coco/AR .75: 0.854849 coco/AR (M): 0.749549 coco/AR (L): 0.858008 2022/09/26 20:03:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_100.pth is removed 2022/09/26 20:03:05 - mmengine - INFO - The best checkpoint with 0.7414 coco/AP at 110 epoch is saved to best_coco/AP_epoch_110.pth. 2022/09/26 20:03:28 - mmengine - INFO - Epoch(train) [111][50/586] lr: 5.000000e-04 eta: 6:55:54 time: 0.454354 data_time: 0.035124 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.860212 loss: 0.000531 2022/09/26 20:03:51 - mmengine - INFO - Epoch(train) [111][100/586] lr: 5.000000e-04 eta: 6:55:34 time: 0.449471 data_time: 0.031655 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.813341 loss: 0.000564 2022/09/26 20:04:14 - mmengine - INFO - Epoch(train) [111][150/586] lr: 5.000000e-04 eta: 6:55:15 time: 0.463745 data_time: 0.031959 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.857869 loss: 0.000555 2022/09/26 20:04:37 - mmengine - INFO - Epoch(train) [111][200/586] lr: 5.000000e-04 eta: 6:54:55 time: 0.463312 data_time: 0.030533 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.869443 loss: 0.000532 2022/09/26 20:05:00 - mmengine - INFO - Epoch(train) [111][250/586] lr: 5.000000e-04 eta: 6:54:35 time: 0.452982 data_time: 0.031328 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.861665 loss: 0.000559 2022/09/26 20:05:23 - mmengine - INFO - Epoch(train) [111][300/586] lr: 5.000000e-04 eta: 6:54:15 time: 0.468376 data_time: 0.038013 memory: 14278 loss_kpt: 0.000548 acc_pose: 0.853776 loss: 0.000548 2022/09/26 20:05:45 - mmengine - INFO - Epoch(train) [111][350/586] lr: 5.000000e-04 eta: 6:53:55 time: 0.436199 data_time: 0.030674 memory: 14278 loss_kpt: 0.000560 acc_pose: 0.880375 loss: 0.000560 2022/09/26 20:06:08 - mmengine - INFO - Epoch(train) [111][400/586] lr: 5.000000e-04 eta: 6:53:35 time: 0.459620 data_time: 0.033161 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.867081 loss: 0.000561 2022/09/26 20:06:30 - mmengine - INFO - Epoch(train) [111][450/586] lr: 5.000000e-04 eta: 6:53:14 time: 0.447501 data_time: 0.030200 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.837742 loss: 0.000561 2022/09/26 20:06:52 - mmengine - INFO - Epoch(train) [111][500/586] lr: 5.000000e-04 eta: 6:52:53 time: 0.430118 data_time: 0.030385 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.859927 loss: 0.000551 2022/09/26 20:07:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:07:14 - mmengine - INFO - Epoch(train) [111][550/586] lr: 5.000000e-04 eta: 6:52:33 time: 0.442709 data_time: 0.040515 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.886724 loss: 0.000558 2022/09/26 20:07:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:07:53 - mmengine - INFO - Epoch(train) [112][50/586] lr: 5.000000e-04 eta: 6:51:44 time: 0.465796 data_time: 0.038159 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.899440 loss: 0.000559 2022/09/26 20:08:15 - mmengine - INFO - Epoch(train) [112][100/586] lr: 5.000000e-04 eta: 6:51:23 time: 0.444200 data_time: 0.034148 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.859119 loss: 0.000566 2022/09/26 20:08:38 - mmengine - INFO - Epoch(train) [112][150/586] lr: 5.000000e-04 eta: 6:51:03 time: 0.450130 data_time: 0.032140 memory: 14278 loss_kpt: 0.000563 acc_pose: 0.858791 loss: 0.000563 2022/09/26 20:09:00 - mmengine - INFO - Epoch(train) [112][200/586] lr: 5.000000e-04 eta: 6:50:43 time: 0.447643 data_time: 0.036539 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.862910 loss: 0.000549 2022/09/26 20:09:23 - mmengine - INFO - Epoch(train) [112][250/586] lr: 5.000000e-04 eta: 6:50:23 time: 0.463717 data_time: 0.030814 memory: 14278 loss_kpt: 0.000550 acc_pose: 0.879137 loss: 0.000550 2022/09/26 20:09:45 - mmengine - INFO - Epoch(train) [112][300/586] lr: 5.000000e-04 eta: 6:50:03 time: 0.439677 data_time: 0.031007 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.817508 loss: 0.000568 2022/09/26 20:10:08 - mmengine - INFO - Epoch(train) [112][350/586] lr: 5.000000e-04 eta: 6:49:42 time: 0.451692 data_time: 0.031710 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.879727 loss: 0.000549 2022/09/26 20:10:30 - mmengine - INFO - Epoch(train) [112][400/586] lr: 5.000000e-04 eta: 6:49:22 time: 0.438783 data_time: 0.033849 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.858927 loss: 0.000551 2022/09/26 20:10:53 - mmengine - INFO - Epoch(train) [112][450/586] lr: 5.000000e-04 eta: 6:49:02 time: 0.460946 data_time: 0.039856 memory: 14278 loss_kpt: 0.000570 acc_pose: 0.890387 loss: 0.000570 2022/09/26 20:11:16 - mmengine - INFO - Epoch(train) [112][500/586] lr: 5.000000e-04 eta: 6:48:42 time: 0.462182 data_time: 0.030488 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.865901 loss: 0.000558 2022/09/26 20:11:38 - mmengine - INFO - Epoch(train) [112][550/586] lr: 5.000000e-04 eta: 6:48:21 time: 0.434780 data_time: 0.030291 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.885228 loss: 0.000537 2022/09/26 20:11:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:12:16 - mmengine - INFO - Epoch(train) [113][50/586] lr: 5.000000e-04 eta: 6:47:32 time: 0.451607 data_time: 0.041114 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.900885 loss: 0.000537 2022/09/26 20:12:39 - mmengine - INFO - Epoch(train) [113][100/586] lr: 5.000000e-04 eta: 6:47:12 time: 0.445188 data_time: 0.036717 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.890147 loss: 0.000559 2022/09/26 20:13:02 - mmengine - INFO - Epoch(train) [113][150/586] lr: 5.000000e-04 eta: 6:46:52 time: 0.458296 data_time: 0.033344 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.893082 loss: 0.000566 2022/09/26 20:13:24 - mmengine - INFO - Epoch(train) [113][200/586] lr: 5.000000e-04 eta: 6:46:32 time: 0.453912 data_time: 0.031486 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.829742 loss: 0.000555 2022/09/26 20:13:48 - mmengine - INFO - Epoch(train) [113][250/586] lr: 5.000000e-04 eta: 6:46:12 time: 0.466375 data_time: 0.031449 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.845207 loss: 0.000566 2022/09/26 20:14:10 - mmengine - INFO - Epoch(train) [113][300/586] lr: 5.000000e-04 eta: 6:45:51 time: 0.441266 data_time: 0.030560 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.855078 loss: 0.000568 2022/09/26 20:14:33 - mmengine - INFO - Epoch(train) [113][350/586] lr: 5.000000e-04 eta: 6:45:31 time: 0.455685 data_time: 0.038118 memory: 14278 loss_kpt: 0.000556 acc_pose: 0.835902 loss: 0.000556 2022/09/26 20:14:41 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:14:55 - mmengine - INFO - Epoch(train) [113][400/586] lr: 5.000000e-04 eta: 6:45:11 time: 0.443995 data_time: 0.030862 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.864762 loss: 0.000549 2022/09/26 20:15:18 - mmengine - INFO - Epoch(train) [113][450/586] lr: 5.000000e-04 eta: 6:44:51 time: 0.463213 data_time: 0.031935 memory: 14278 loss_kpt: 0.000560 acc_pose: 0.851023 loss: 0.000560 2022/09/26 20:15:41 - mmengine - INFO - Epoch(train) [113][500/586] lr: 5.000000e-04 eta: 6:44:31 time: 0.454374 data_time: 0.029817 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.873156 loss: 0.000553 2022/09/26 20:16:03 - mmengine - INFO - Epoch(train) [113][550/586] lr: 5.000000e-04 eta: 6:44:10 time: 0.438095 data_time: 0.032293 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.870464 loss: 0.000561 2022/09/26 20:16:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:16:42 - mmengine - INFO - Epoch(train) [114][50/586] lr: 5.000000e-04 eta: 6:43:22 time: 0.456390 data_time: 0.046561 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.851359 loss: 0.000528 2022/09/26 20:17:04 - mmengine - INFO - Epoch(train) [114][100/586] lr: 5.000000e-04 eta: 6:43:01 time: 0.450192 data_time: 0.033924 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.849161 loss: 0.000551 2022/09/26 20:17:28 - mmengine - INFO - Epoch(train) [114][150/586] lr: 5.000000e-04 eta: 6:42:42 time: 0.464137 data_time: 0.031667 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.861237 loss: 0.000545 2022/09/26 20:17:50 - mmengine - INFO - Epoch(train) [114][200/586] lr: 5.000000e-04 eta: 6:42:21 time: 0.447252 data_time: 0.030288 memory: 14278 loss_kpt: 0.000554 acc_pose: 0.753761 loss: 0.000554 2022/09/26 20:18:12 - mmengine - INFO - Epoch(train) [114][250/586] lr: 5.000000e-04 eta: 6:42:00 time: 0.433968 data_time: 0.031235 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.828388 loss: 0.000546 2022/09/26 20:18:34 - mmengine - INFO - Epoch(train) [114][300/586] lr: 5.000000e-04 eta: 6:41:40 time: 0.452728 data_time: 0.041782 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.845912 loss: 0.000569 2022/09/26 20:18:57 - mmengine - INFO - Epoch(train) [114][350/586] lr: 5.000000e-04 eta: 6:41:20 time: 0.447488 data_time: 0.030525 memory: 14278 loss_kpt: 0.000558 acc_pose: 0.912325 loss: 0.000558 2022/09/26 20:19:20 - mmengine - INFO - Epoch(train) [114][400/586] lr: 5.000000e-04 eta: 6:41:00 time: 0.467583 data_time: 0.032744 memory: 14278 loss_kpt: 0.000563 acc_pose: 0.874409 loss: 0.000563 2022/09/26 20:19:43 - mmengine - INFO - Epoch(train) [114][450/586] lr: 5.000000e-04 eta: 6:40:40 time: 0.460800 data_time: 0.033280 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.873177 loss: 0.000557 2022/09/26 20:20:05 - mmengine - INFO - Epoch(train) [114][500/586] lr: 5.000000e-04 eta: 6:40:19 time: 0.439228 data_time: 0.029952 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.886185 loss: 0.000546 2022/09/26 20:20:28 - mmengine - INFO - Epoch(train) [114][550/586] lr: 5.000000e-04 eta: 6:39:59 time: 0.455315 data_time: 0.036984 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.875376 loss: 0.000546 2022/09/26 20:20:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:21:06 - mmengine - INFO - Epoch(train) [115][50/586] lr: 5.000000e-04 eta: 6:39:11 time: 0.453831 data_time: 0.038794 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.879313 loss: 0.000549 2022/09/26 20:21:28 - mmengine - INFO - Epoch(train) [115][100/586] lr: 5.000000e-04 eta: 6:38:50 time: 0.441386 data_time: 0.034538 memory: 14278 loss_kpt: 0.000550 acc_pose: 0.848884 loss: 0.000550 2022/09/26 20:21:51 - mmengine - INFO - Epoch(train) [115][150/586] lr: 5.000000e-04 eta: 6:38:30 time: 0.457673 data_time: 0.032219 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.892805 loss: 0.000543 2022/09/26 20:22:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:22:14 - mmengine - INFO - Epoch(train) [115][200/586] lr: 5.000000e-04 eta: 6:38:10 time: 0.452973 data_time: 0.040287 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.860164 loss: 0.000561 2022/09/26 20:22:36 - mmengine - INFO - Epoch(train) [115][250/586] lr: 5.000000e-04 eta: 6:37:50 time: 0.446613 data_time: 0.031903 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.892565 loss: 0.000551 2022/09/26 20:22:59 - mmengine - INFO - Epoch(train) [115][300/586] lr: 5.000000e-04 eta: 6:37:30 time: 0.467653 data_time: 0.030336 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.878161 loss: 0.000539 2022/09/26 20:23:22 - mmengine - INFO - Epoch(train) [115][350/586] lr: 5.000000e-04 eta: 6:37:10 time: 0.457348 data_time: 0.028766 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.812317 loss: 0.000551 2022/09/26 20:23:44 - mmengine - INFO - Epoch(train) [115][400/586] lr: 5.000000e-04 eta: 6:36:49 time: 0.435256 data_time: 0.032343 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.860602 loss: 0.000553 2022/09/26 20:24:06 - mmengine - INFO - Epoch(train) [115][450/586] lr: 5.000000e-04 eta: 6:36:28 time: 0.438369 data_time: 0.038453 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.878597 loss: 0.000559 2022/09/26 20:24:30 - mmengine - INFO - Epoch(train) [115][500/586] lr: 5.000000e-04 eta: 6:36:09 time: 0.468452 data_time: 0.032239 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.824147 loss: 0.000537 2022/09/26 20:24:53 - mmengine - INFO - Epoch(train) [115][550/586] lr: 5.000000e-04 eta: 6:35:49 time: 0.469234 data_time: 0.031920 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.801304 loss: 0.000566 2022/09/26 20:25:09 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:25:32 - mmengine - INFO - Epoch(train) [116][50/586] lr: 5.000000e-04 eta: 6:35:01 time: 0.456141 data_time: 0.038995 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.862559 loss: 0.000553 2022/09/26 20:25:55 - mmengine - INFO - Epoch(train) [116][100/586] lr: 5.000000e-04 eta: 6:34:41 time: 0.457463 data_time: 0.032068 memory: 14278 loss_kpt: 0.000550 acc_pose: 0.868061 loss: 0.000550 2022/09/26 20:26:18 - mmengine - INFO - Epoch(train) [116][150/586] lr: 5.000000e-04 eta: 6:34:21 time: 0.461756 data_time: 0.029924 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.855468 loss: 0.000532 2022/09/26 20:26:40 - mmengine - INFO - Epoch(train) [116][200/586] lr: 5.000000e-04 eta: 6:34:01 time: 0.441467 data_time: 0.030993 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.892911 loss: 0.000549 2022/09/26 20:27:02 - mmengine - INFO - Epoch(train) [116][250/586] lr: 5.000000e-04 eta: 6:33:40 time: 0.438333 data_time: 0.029576 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.895731 loss: 0.000555 2022/09/26 20:27:25 - mmengine - INFO - Epoch(train) [116][300/586] lr: 5.000000e-04 eta: 6:33:20 time: 0.456344 data_time: 0.032962 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.848509 loss: 0.000549 2022/09/26 20:27:47 - mmengine - INFO - Epoch(train) [116][350/586] lr: 5.000000e-04 eta: 6:32:59 time: 0.450870 data_time: 0.039468 memory: 14278 loss_kpt: 0.000552 acc_pose: 0.946432 loss: 0.000552 2022/09/26 20:28:09 - mmengine - INFO - Epoch(train) [116][400/586] lr: 5.000000e-04 eta: 6:32:39 time: 0.444625 data_time: 0.030842 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.888588 loss: 0.000551 2022/09/26 20:28:32 - mmengine - INFO - Epoch(train) [116][450/586] lr: 5.000000e-04 eta: 6:32:19 time: 0.453096 data_time: 0.031707 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.747353 loss: 0.000561 2022/09/26 20:28:54 - mmengine - INFO - Epoch(train) [116][500/586] lr: 5.000000e-04 eta: 6:31:58 time: 0.445022 data_time: 0.032973 memory: 14278 loss_kpt: 0.000554 acc_pose: 0.840516 loss: 0.000554 2022/09/26 20:29:17 - mmengine - INFO - Epoch(train) [116][550/586] lr: 5.000000e-04 eta: 6:31:38 time: 0.447203 data_time: 0.029796 memory: 14278 loss_kpt: 0.000572 acc_pose: 0.856315 loss: 0.000572 2022/09/26 20:29:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:29:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:29:57 - mmengine - INFO - Epoch(train) [117][50/586] lr: 5.000000e-04 eta: 6:30:50 time: 0.461341 data_time: 0.045198 memory: 14278 loss_kpt: 0.000548 acc_pose: 0.800468 loss: 0.000548 2022/09/26 20:30:19 - mmengine - INFO - Epoch(train) [117][100/586] lr: 5.000000e-04 eta: 6:30:29 time: 0.444346 data_time: 0.033128 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.857584 loss: 0.000545 2022/09/26 20:30:41 - mmengine - INFO - Epoch(train) [117][150/586] lr: 5.000000e-04 eta: 6:30:09 time: 0.442508 data_time: 0.030298 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.805494 loss: 0.000566 2022/09/26 20:31:04 - mmengine - INFO - Epoch(train) [117][200/586] lr: 5.000000e-04 eta: 6:29:48 time: 0.450465 data_time: 0.031054 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.806867 loss: 0.000555 2022/09/26 20:31:25 - mmengine - INFO - Epoch(train) [117][250/586] lr: 5.000000e-04 eta: 6:29:27 time: 0.437632 data_time: 0.030422 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.919838 loss: 0.000542 2022/09/26 20:31:48 - mmengine - INFO - Epoch(train) [117][300/586] lr: 5.000000e-04 eta: 6:29:07 time: 0.444420 data_time: 0.036982 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.890106 loss: 0.000543 2022/09/26 20:32:11 - mmengine - INFO - Epoch(train) [117][350/586] lr: 5.000000e-04 eta: 6:28:47 time: 0.462797 data_time: 0.028131 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.841322 loss: 0.000531 2022/09/26 20:32:34 - mmengine - INFO - Epoch(train) [117][400/586] lr: 5.000000e-04 eta: 6:28:27 time: 0.465704 data_time: 0.032425 memory: 14278 loss_kpt: 0.000554 acc_pose: 0.897526 loss: 0.000554 2022/09/26 20:32:56 - mmengine - INFO - Epoch(train) [117][450/586] lr: 5.000000e-04 eta: 6:28:06 time: 0.437076 data_time: 0.031411 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.856209 loss: 0.000546 2022/09/26 20:33:18 - mmengine - INFO - Epoch(train) [117][500/586] lr: 5.000000e-04 eta: 6:27:46 time: 0.435162 data_time: 0.029866 memory: 14278 loss_kpt: 0.000565 acc_pose: 0.835483 loss: 0.000565 2022/09/26 20:33:40 - mmengine - INFO - Epoch(train) [117][550/586] lr: 5.000000e-04 eta: 6:27:25 time: 0.445624 data_time: 0.030827 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.837842 loss: 0.000546 2022/09/26 20:33:56 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:34:19 - mmengine - INFO - Epoch(train) [118][50/586] lr: 5.000000e-04 eta: 6:26:38 time: 0.462097 data_time: 0.039810 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.867170 loss: 0.000547 2022/09/26 20:34:42 - mmengine - INFO - Epoch(train) [118][100/586] lr: 5.000000e-04 eta: 6:26:18 time: 0.464328 data_time: 0.031326 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.841109 loss: 0.000557 2022/09/26 20:35:06 - mmengine - INFO - Epoch(train) [118][150/586] lr: 5.000000e-04 eta: 6:25:58 time: 0.464084 data_time: 0.032588 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.870995 loss: 0.000547 2022/09/26 20:35:28 - mmengine - INFO - Epoch(train) [118][200/586] lr: 5.000000e-04 eta: 6:25:37 time: 0.443692 data_time: 0.036852 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.885079 loss: 0.000522 2022/09/26 20:35:50 - mmengine - INFO - Epoch(train) [118][250/586] lr: 5.000000e-04 eta: 6:25:17 time: 0.441540 data_time: 0.029363 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.871710 loss: 0.000557 2022/09/26 20:36:12 - mmengine - INFO - Epoch(train) [118][300/586] lr: 5.000000e-04 eta: 6:24:56 time: 0.441494 data_time: 0.029492 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.886621 loss: 0.000543 2022/09/26 20:36:34 - mmengine - INFO - Epoch(train) [118][350/586] lr: 5.000000e-04 eta: 6:24:35 time: 0.437464 data_time: 0.031828 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.879910 loss: 0.000541 2022/09/26 20:36:56 - mmengine - INFO - Epoch(train) [118][400/586] lr: 5.000000e-04 eta: 6:24:14 time: 0.439466 data_time: 0.030427 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.872247 loss: 0.000547 2022/09/26 20:37:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:37:18 - mmengine - INFO - Epoch(train) [118][450/586] lr: 5.000000e-04 eta: 6:23:54 time: 0.439084 data_time: 0.028650 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.889833 loss: 0.000551 2022/09/26 20:37:41 - mmengine - INFO - Epoch(train) [118][500/586] lr: 5.000000e-04 eta: 6:23:34 time: 0.461215 data_time: 0.041129 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.852930 loss: 0.000536 2022/09/26 20:38:03 - mmengine - INFO - Epoch(train) [118][550/586] lr: 5.000000e-04 eta: 6:23:13 time: 0.452532 data_time: 0.031377 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.878461 loss: 0.000549 2022/09/26 20:38:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:38:43 - mmengine - INFO - Epoch(train) [119][50/586] lr: 5.000000e-04 eta: 6:22:26 time: 0.448702 data_time: 0.043328 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.852381 loss: 0.000545 2022/09/26 20:39:07 - mmengine - INFO - Epoch(train) [119][100/586] lr: 5.000000e-04 eta: 6:22:06 time: 0.473030 data_time: 0.030609 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.857230 loss: 0.000561 2022/09/26 20:39:29 - mmengine - INFO - Epoch(train) [119][150/586] lr: 5.000000e-04 eta: 6:21:46 time: 0.452388 data_time: 0.039359 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.902848 loss: 0.000555 2022/09/26 20:39:51 - mmengine - INFO - Epoch(train) [119][200/586] lr: 5.000000e-04 eta: 6:21:25 time: 0.439433 data_time: 0.035526 memory: 14278 loss_kpt: 0.000552 acc_pose: 0.839080 loss: 0.000552 2022/09/26 20:40:13 - mmengine - INFO - Epoch(train) [119][250/586] lr: 5.000000e-04 eta: 6:21:04 time: 0.443558 data_time: 0.032089 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.847124 loss: 0.000534 2022/09/26 20:40:36 - mmengine - INFO - Epoch(train) [119][300/586] lr: 5.000000e-04 eta: 6:20:44 time: 0.443609 data_time: 0.029980 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.869167 loss: 0.000566 2022/09/26 20:40:57 - mmengine - INFO - Epoch(train) [119][350/586] lr: 5.000000e-04 eta: 6:20:23 time: 0.435839 data_time: 0.034624 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.826765 loss: 0.000551 2022/09/26 20:41:20 - mmengine - INFO - Epoch(train) [119][400/586] lr: 5.000000e-04 eta: 6:20:02 time: 0.450849 data_time: 0.037405 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.865015 loss: 0.000537 2022/09/26 20:41:43 - mmengine - INFO - Epoch(train) [119][450/586] lr: 5.000000e-04 eta: 6:19:42 time: 0.451576 data_time: 0.030539 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.782807 loss: 0.000541 2022/09/26 20:42:05 - mmengine - INFO - Epoch(train) [119][500/586] lr: 5.000000e-04 eta: 6:19:22 time: 0.445316 data_time: 0.032436 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.845520 loss: 0.000537 2022/09/26 20:42:26 - mmengine - INFO - Epoch(train) [119][550/586] lr: 5.000000e-04 eta: 6:19:00 time: 0.431465 data_time: 0.030424 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.832818 loss: 0.000545 2022/09/26 20:42:42 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:43:06 - mmengine - INFO - Epoch(train) [120][50/586] lr: 5.000000e-04 eta: 6:18:14 time: 0.480678 data_time: 0.038760 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.846991 loss: 0.000536 2022/09/26 20:43:29 - mmengine - INFO - Epoch(train) [120][100/586] lr: 5.000000e-04 eta: 6:17:54 time: 0.451761 data_time: 0.033027 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.878966 loss: 0.000547 2022/09/26 20:43:51 - mmengine - INFO - Epoch(train) [120][150/586] lr: 5.000000e-04 eta: 6:17:33 time: 0.442215 data_time: 0.029748 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.865508 loss: 0.000539 2022/09/26 20:44:13 - mmengine - INFO - Epoch(train) [120][200/586] lr: 5.000000e-04 eta: 6:17:13 time: 0.442537 data_time: 0.030939 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.825463 loss: 0.000551 2022/09/26 20:44:36 - mmengine - INFO - Epoch(train) [120][250/586] lr: 5.000000e-04 eta: 6:16:52 time: 0.456432 data_time: 0.032033 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.858844 loss: 0.000547 2022/09/26 20:44:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:44:59 - mmengine - INFO - Epoch(train) [120][300/586] lr: 5.000000e-04 eta: 6:16:32 time: 0.462038 data_time: 0.040871 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.860931 loss: 0.000546 2022/09/26 20:45:22 - mmengine - INFO - Epoch(train) [120][350/586] lr: 5.000000e-04 eta: 6:16:12 time: 0.454240 data_time: 0.032804 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.837035 loss: 0.000543 2022/09/26 20:45:44 - mmengine - INFO - Epoch(train) [120][400/586] lr: 5.000000e-04 eta: 6:15:52 time: 0.446965 data_time: 0.034334 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.791223 loss: 0.000551 2022/09/26 20:46:07 - mmengine - INFO - Epoch(train) [120][450/586] lr: 5.000000e-04 eta: 6:15:32 time: 0.459832 data_time: 0.031148 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.881435 loss: 0.000555 2022/09/26 20:46:29 - mmengine - INFO - Epoch(train) [120][500/586] lr: 5.000000e-04 eta: 6:15:11 time: 0.432951 data_time: 0.030393 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.863978 loss: 0.000540 2022/09/26 20:46:51 - mmengine - INFO - Epoch(train) [120][550/586] lr: 5.000000e-04 eta: 6:14:50 time: 0.439191 data_time: 0.030533 memory: 14278 loss_kpt: 0.000556 acc_pose: 0.858887 loss: 0.000556 2022/09/26 20:47:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:47:07 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/09/26 20:47:36 - mmengine - INFO - Epoch(val) [120][50/407] eta: 0:02:11 time: 0.368210 data_time: 0.139319 memory: 14278 2022/09/26 20:47:53 - mmengine - INFO - Epoch(val) [120][100/407] eta: 0:01:45 time: 0.342738 data_time: 0.091125 memory: 2124 2022/09/26 20:48:10 - mmengine - INFO - Epoch(val) [120][150/407] eta: 0:01:25 time: 0.331096 data_time: 0.084858 memory: 2124 2022/09/26 20:48:26 - mmengine - INFO - Epoch(val) [120][200/407] eta: 0:01:07 time: 0.325148 data_time: 0.079451 memory: 2124 2022/09/26 20:48:43 - mmengine - INFO - Epoch(val) [120][250/407] eta: 0:00:52 time: 0.336667 data_time: 0.098731 memory: 2124 2022/09/26 20:49:00 - mmengine - INFO - Epoch(val) [120][300/407] eta: 0:00:37 time: 0.347780 data_time: 0.103682 memory: 2124 2022/09/26 20:49:17 - mmengine - INFO - Epoch(val) [120][350/407] eta: 0:00:19 time: 0.337581 data_time: 0.093056 memory: 2124 2022/09/26 20:49:27 - mmengine - INFO - Epoch(val) [120][400/407] eta: 0:00:01 time: 0.198207 data_time: 0.048618 memory: 2124 2022/09/26 20:49:59 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 20:50:12 - mmengine - INFO - Epoch(val) [120][407/407] coco/AP: 0.738943 coco/AP .5: 0.899745 coco/AP .75: 0.809058 coco/AP (M): 0.698184 coco/AP (L): 0.810248 coco/AR: 0.790790 coco/AR .5: 0.937185 coco/AR .75: 0.854691 coco/AR (M): 0.746627 coco/AR (L): 0.854218 2022/09/26 20:50:38 - mmengine - INFO - Epoch(train) [121][50/586] lr: 5.000000e-04 eta: 6:14:05 time: 0.504386 data_time: 0.040834 memory: 14278 loss_kpt: 0.000548 acc_pose: 0.882181 loss: 0.000548 2022/09/26 20:51:00 - mmengine - INFO - Epoch(train) [121][100/586] lr: 5.000000e-04 eta: 6:13:44 time: 0.445783 data_time: 0.029942 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.822494 loss: 0.000536 2022/09/26 20:51:22 - mmengine - INFO - Epoch(train) [121][150/586] lr: 5.000000e-04 eta: 6:13:24 time: 0.449145 data_time: 0.031647 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.836690 loss: 0.000546 2022/09/26 20:51:46 - mmengine - INFO - Epoch(train) [121][200/586] lr: 5.000000e-04 eta: 6:13:04 time: 0.464669 data_time: 0.034545 memory: 14278 loss_kpt: 0.000568 acc_pose: 0.833810 loss: 0.000568 2022/09/26 20:52:08 - mmengine - INFO - Epoch(train) [121][250/586] lr: 5.000000e-04 eta: 6:12:43 time: 0.448927 data_time: 0.035355 memory: 14278 loss_kpt: 0.000554 acc_pose: 0.817323 loss: 0.000554 2022/09/26 20:52:31 - mmengine - INFO - Epoch(train) [121][300/586] lr: 5.000000e-04 eta: 6:12:23 time: 0.467040 data_time: 0.029393 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.841967 loss: 0.000545 2022/09/26 20:52:53 - mmengine - INFO - Epoch(train) [121][350/586] lr: 5.000000e-04 eta: 6:12:03 time: 0.440538 data_time: 0.031341 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.868792 loss: 0.000531 2022/09/26 20:53:16 - mmengine - INFO - Epoch(train) [121][400/586] lr: 5.000000e-04 eta: 6:11:43 time: 0.458640 data_time: 0.034067 memory: 14278 loss_kpt: 0.000560 acc_pose: 0.813631 loss: 0.000560 2022/09/26 20:53:38 - mmengine - INFO - Epoch(train) [121][450/586] lr: 5.000000e-04 eta: 6:11:22 time: 0.442055 data_time: 0.036233 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.912274 loss: 0.000532 2022/09/26 20:54:00 - mmengine - INFO - Epoch(train) [121][500/586] lr: 5.000000e-04 eta: 6:11:01 time: 0.437678 data_time: 0.029679 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.861418 loss: 0.000543 2022/09/26 20:54:23 - mmengine - INFO - Epoch(train) [121][550/586] lr: 5.000000e-04 eta: 6:10:40 time: 0.446265 data_time: 0.033196 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.805032 loss: 0.000540 2022/09/26 20:54:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:55:01 - mmengine - INFO - Epoch(train) [122][50/586] lr: 5.000000e-04 eta: 6:09:54 time: 0.454172 data_time: 0.050437 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.891824 loss: 0.000546 2022/09/26 20:55:21 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:55:24 - mmengine - INFO - Epoch(train) [122][100/586] lr: 5.000000e-04 eta: 6:09:33 time: 0.457335 data_time: 0.032665 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.842615 loss: 0.000541 2022/09/26 20:55:46 - mmengine - INFO - Epoch(train) [122][150/586] lr: 5.000000e-04 eta: 6:09:13 time: 0.442588 data_time: 0.029904 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.821760 loss: 0.000535 2022/09/26 20:56:09 - mmengine - INFO - Epoch(train) [122][200/586] lr: 5.000000e-04 eta: 6:08:53 time: 0.462628 data_time: 0.032306 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.806356 loss: 0.000549 2022/09/26 20:56:32 - mmengine - INFO - Epoch(train) [122][250/586] lr: 5.000000e-04 eta: 6:08:32 time: 0.444805 data_time: 0.032339 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.823740 loss: 0.000540 2022/09/26 20:56:53 - mmengine - INFO - Epoch(train) [122][300/586] lr: 5.000000e-04 eta: 6:08:11 time: 0.435000 data_time: 0.030913 memory: 14278 loss_kpt: 0.000554 acc_pose: 0.809799 loss: 0.000554 2022/09/26 20:57:16 - mmengine - INFO - Epoch(train) [122][350/586] lr: 5.000000e-04 eta: 6:07:50 time: 0.440407 data_time: 0.036258 memory: 14278 loss_kpt: 0.000538 acc_pose: 0.885661 loss: 0.000538 2022/09/26 20:57:38 - mmengine - INFO - Epoch(train) [122][400/586] lr: 5.000000e-04 eta: 6:07:30 time: 0.457533 data_time: 0.032417 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.862670 loss: 0.000547 2022/09/26 20:58:02 - mmengine - INFO - Epoch(train) [122][450/586] lr: 5.000000e-04 eta: 6:07:11 time: 0.469672 data_time: 0.034912 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.875016 loss: 0.000543 2022/09/26 20:58:26 - mmengine - INFO - Epoch(train) [122][500/586] lr: 5.000000e-04 eta: 6:06:51 time: 0.473743 data_time: 0.029838 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.869041 loss: 0.000527 2022/09/26 20:58:48 - mmengine - INFO - Epoch(train) [122][550/586] lr: 5.000000e-04 eta: 6:06:31 time: 0.456634 data_time: 0.039855 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.898861 loss: 0.000542 2022/09/26 20:59:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 20:59:28 - mmengine - INFO - Epoch(train) [123][50/586] lr: 5.000000e-04 eta: 6:05:44 time: 0.464349 data_time: 0.054159 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.919460 loss: 0.000534 2022/09/26 20:59:50 - mmengine - INFO - Epoch(train) [123][100/586] lr: 5.000000e-04 eta: 6:05:24 time: 0.458041 data_time: 0.032946 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.884700 loss: 0.000530 2022/09/26 21:00:12 - mmengine - INFO - Epoch(train) [123][150/586] lr: 5.000000e-04 eta: 6:05:03 time: 0.440523 data_time: 0.030407 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.884487 loss: 0.000516 2022/09/26 21:00:36 - mmengine - INFO - Epoch(train) [123][200/586] lr: 5.000000e-04 eta: 6:04:43 time: 0.460950 data_time: 0.031809 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.901258 loss: 0.000555 2022/09/26 21:00:58 - mmengine - INFO - Epoch(train) [123][250/586] lr: 5.000000e-04 eta: 6:04:23 time: 0.441867 data_time: 0.037623 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.908671 loss: 0.000540 2022/09/26 21:01:20 - mmengine - INFO - Epoch(train) [123][300/586] lr: 5.000000e-04 eta: 6:04:02 time: 0.455190 data_time: 0.030541 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.838724 loss: 0.000559 2022/09/26 21:01:43 - mmengine - INFO - Epoch(train) [123][350/586] lr: 5.000000e-04 eta: 6:03:42 time: 0.447055 data_time: 0.029022 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.869989 loss: 0.000547 2022/09/26 21:02:06 - mmengine - INFO - Epoch(train) [123][400/586] lr: 5.000000e-04 eta: 6:03:22 time: 0.459829 data_time: 0.030721 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.885374 loss: 0.000526 2022/09/26 21:02:29 - mmengine - INFO - Epoch(train) [123][450/586] lr: 5.000000e-04 eta: 6:03:02 time: 0.460290 data_time: 0.031392 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.825077 loss: 0.000543 2022/09/26 21:02:51 - mmengine - INFO - Epoch(train) [123][500/586] lr: 5.000000e-04 eta: 6:02:41 time: 0.440927 data_time: 0.037343 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.855551 loss: 0.000532 2022/09/26 21:02:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:03:13 - mmengine - INFO - Epoch(train) [123][550/586] lr: 5.000000e-04 eta: 6:02:20 time: 0.437805 data_time: 0.032014 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.846920 loss: 0.000541 2022/09/26 21:03:29 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:03:52 - mmengine - INFO - Epoch(train) [124][50/586] lr: 5.000000e-04 eta: 6:01:34 time: 0.458294 data_time: 0.039611 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.809733 loss: 0.000546 2022/09/26 21:04:14 - mmengine - INFO - Epoch(train) [124][100/586] lr: 5.000000e-04 eta: 6:01:13 time: 0.443118 data_time: 0.031649 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.835498 loss: 0.000544 2022/09/26 21:04:37 - mmengine - INFO - Epoch(train) [124][150/586] lr: 5.000000e-04 eta: 6:00:52 time: 0.445457 data_time: 0.039014 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.865819 loss: 0.000530 2022/09/26 21:04:58 - mmengine - INFO - Epoch(train) [124][200/586] lr: 5.000000e-04 eta: 6:00:31 time: 0.437388 data_time: 0.030310 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.848535 loss: 0.000528 2022/09/26 21:05:20 - mmengine - INFO - Epoch(train) [124][250/586] lr: 5.000000e-04 eta: 6:00:10 time: 0.435021 data_time: 0.033132 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.770977 loss: 0.000534 2022/09/26 21:05:42 - mmengine - INFO - Epoch(train) [124][300/586] lr: 5.000000e-04 eta: 5:59:50 time: 0.444550 data_time: 0.029218 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.882552 loss: 0.000541 2022/09/26 21:06:06 - mmengine - INFO - Epoch(train) [124][350/586] lr: 5.000000e-04 eta: 5:59:30 time: 0.461238 data_time: 0.030657 memory: 14278 loss_kpt: 0.000569 acc_pose: 0.812773 loss: 0.000569 2022/09/26 21:06:28 - mmengine - INFO - Epoch(train) [124][400/586] lr: 5.000000e-04 eta: 5:59:09 time: 0.452822 data_time: 0.029578 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.846909 loss: 0.000559 2022/09/26 21:06:51 - mmengine - INFO - Epoch(train) [124][450/586] lr: 5.000000e-04 eta: 5:58:49 time: 0.463181 data_time: 0.031975 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.815777 loss: 0.000541 2022/09/26 21:07:14 - mmengine - INFO - Epoch(train) [124][500/586] lr: 5.000000e-04 eta: 5:58:29 time: 0.458512 data_time: 0.030438 memory: 14278 loss_kpt: 0.000552 acc_pose: 0.919728 loss: 0.000552 2022/09/26 21:07:38 - mmengine - INFO - Epoch(train) [124][550/586] lr: 5.000000e-04 eta: 5:58:10 time: 0.477472 data_time: 0.033506 memory: 14278 loss_kpt: 0.000555 acc_pose: 0.882712 loss: 0.000555 2022/09/26 21:07:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:08:17 - mmengine - INFO - Epoch(train) [125][50/586] lr: 5.000000e-04 eta: 5:57:24 time: 0.464430 data_time: 0.041257 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.825330 loss: 0.000557 2022/09/26 21:08:39 - mmengine - INFO - Epoch(train) [125][100/586] lr: 5.000000e-04 eta: 5:57:03 time: 0.434890 data_time: 0.030430 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.856064 loss: 0.000542 2022/09/26 21:09:01 - mmengine - INFO - Epoch(train) [125][150/586] lr: 5.000000e-04 eta: 5:56:42 time: 0.445477 data_time: 0.033055 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.882726 loss: 0.000536 2022/09/26 21:09:24 - mmengine - INFO - Epoch(train) [125][200/586] lr: 5.000000e-04 eta: 5:56:22 time: 0.459242 data_time: 0.031716 memory: 14278 loss_kpt: 0.000564 acc_pose: 0.897625 loss: 0.000564 2022/09/26 21:09:47 - mmengine - INFO - Epoch(train) [125][250/586] lr: 5.000000e-04 eta: 5:56:02 time: 0.458159 data_time: 0.031417 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.839584 loss: 0.000527 2022/09/26 21:10:09 - mmengine - INFO - Epoch(train) [125][300/586] lr: 5.000000e-04 eta: 5:55:41 time: 0.438858 data_time: 0.032002 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.876657 loss: 0.000537 2022/09/26 21:10:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:10:31 - mmengine - INFO - Epoch(train) [125][350/586] lr: 5.000000e-04 eta: 5:55:20 time: 0.443705 data_time: 0.033449 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.832020 loss: 0.000546 2022/09/26 21:10:54 - mmengine - INFO - Epoch(train) [125][400/586] lr: 5.000000e-04 eta: 5:55:00 time: 0.445189 data_time: 0.030204 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.834150 loss: 0.000540 2022/09/26 21:11:17 - mmengine - INFO - Epoch(train) [125][450/586] lr: 5.000000e-04 eta: 5:54:39 time: 0.460017 data_time: 0.031990 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.823939 loss: 0.000544 2022/09/26 21:11:39 - mmengine - INFO - Epoch(train) [125][500/586] lr: 5.000000e-04 eta: 5:54:19 time: 0.443699 data_time: 0.029345 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.881068 loss: 0.000545 2022/09/26 21:12:01 - mmengine - INFO - Epoch(train) [125][550/586] lr: 5.000000e-04 eta: 5:53:58 time: 0.436973 data_time: 0.030625 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.780439 loss: 0.000542 2022/09/26 21:12:17 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:12:39 - mmengine - INFO - Epoch(train) [126][50/586] lr: 5.000000e-04 eta: 5:53:12 time: 0.454834 data_time: 0.039899 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.865823 loss: 0.000540 2022/09/26 21:13:02 - mmengine - INFO - Epoch(train) [126][100/586] lr: 5.000000e-04 eta: 5:52:51 time: 0.446065 data_time: 0.034081 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.847583 loss: 0.000542 2022/09/26 21:13:23 - mmengine - INFO - Epoch(train) [126][150/586] lr: 5.000000e-04 eta: 5:52:30 time: 0.437659 data_time: 0.029849 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.840306 loss: 0.000537 2022/09/26 21:13:46 - mmengine - INFO - Epoch(train) [126][200/586] lr: 5.000000e-04 eta: 5:52:10 time: 0.451505 data_time: 0.035316 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.799178 loss: 0.000541 2022/09/26 21:14:08 - mmengine - INFO - Epoch(train) [126][250/586] lr: 5.000000e-04 eta: 5:51:49 time: 0.436208 data_time: 0.030238 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.911027 loss: 0.000541 2022/09/26 21:14:30 - mmengine - INFO - Epoch(train) [126][300/586] lr: 5.000000e-04 eta: 5:51:28 time: 0.443776 data_time: 0.032080 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.840008 loss: 0.000547 2022/09/26 21:14:53 - mmengine - INFO - Epoch(train) [126][350/586] lr: 5.000000e-04 eta: 5:51:08 time: 0.464568 data_time: 0.030209 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.873749 loss: 0.000544 2022/09/26 21:15:16 - mmengine - INFO - Epoch(train) [126][400/586] lr: 5.000000e-04 eta: 5:50:48 time: 0.458640 data_time: 0.031610 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.888075 loss: 0.000547 2022/09/26 21:15:39 - mmengine - INFO - Epoch(train) [126][450/586] lr: 5.000000e-04 eta: 5:50:27 time: 0.450700 data_time: 0.032374 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.822612 loss: 0.000520 2022/09/26 21:16:00 - mmengine - INFO - Epoch(train) [126][500/586] lr: 5.000000e-04 eta: 5:50:06 time: 0.432227 data_time: 0.031877 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.816228 loss: 0.000546 2022/09/26 21:16:23 - mmengine - INFO - Epoch(train) [126][550/586] lr: 5.000000e-04 eta: 5:49:46 time: 0.445070 data_time: 0.033466 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.820121 loss: 0.000549 2022/09/26 21:16:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:17:03 - mmengine - INFO - Epoch(train) [127][50/586] lr: 5.000000e-04 eta: 5:49:00 time: 0.467248 data_time: 0.043326 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.845952 loss: 0.000553 2022/09/26 21:17:25 - mmengine - INFO - Epoch(train) [127][100/586] lr: 5.000000e-04 eta: 5:48:39 time: 0.439756 data_time: 0.032390 memory: 14278 loss_kpt: 0.000533 acc_pose: 0.801040 loss: 0.000533 2022/09/26 21:17:48 - mmengine - INFO - Epoch(train) [127][150/586] lr: 5.000000e-04 eta: 5:48:19 time: 0.460228 data_time: 0.035556 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.929420 loss: 0.000542 2022/09/26 21:17:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:18:10 - mmengine - INFO - Epoch(train) [127][200/586] lr: 5.000000e-04 eta: 5:47:58 time: 0.436905 data_time: 0.030930 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.859494 loss: 0.000539 2022/09/26 21:18:32 - mmengine - INFO - Epoch(train) [127][250/586] lr: 5.000000e-04 eta: 5:47:38 time: 0.447508 data_time: 0.031382 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.870451 loss: 0.000544 2022/09/26 21:18:54 - mmengine - INFO - Epoch(train) [127][300/586] lr: 5.000000e-04 eta: 5:47:17 time: 0.435219 data_time: 0.032133 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.832978 loss: 0.000531 2022/09/26 21:19:17 - mmengine - INFO - Epoch(train) [127][350/586] lr: 5.000000e-04 eta: 5:46:57 time: 0.467100 data_time: 0.037268 memory: 14278 loss_kpt: 0.000552 acc_pose: 0.896125 loss: 0.000552 2022/09/26 21:19:39 - mmengine - INFO - Epoch(train) [127][400/586] lr: 5.000000e-04 eta: 5:46:36 time: 0.442982 data_time: 0.030790 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.841039 loss: 0.000535 2022/09/26 21:20:01 - mmengine - INFO - Epoch(train) [127][450/586] lr: 5.000000e-04 eta: 5:46:15 time: 0.439412 data_time: 0.031192 memory: 14278 loss_kpt: 0.000563 acc_pose: 0.869926 loss: 0.000563 2022/09/26 21:20:24 - mmengine - INFO - Epoch(train) [127][500/586] lr: 5.000000e-04 eta: 5:45:55 time: 0.454154 data_time: 0.033523 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.838144 loss: 0.000537 2022/09/26 21:20:46 - mmengine - INFO - Epoch(train) [127][550/586] lr: 5.000000e-04 eta: 5:45:34 time: 0.441807 data_time: 0.032376 memory: 14278 loss_kpt: 0.000560 acc_pose: 0.833285 loss: 0.000560 2022/09/26 21:21:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:21:24 - mmengine - INFO - Epoch(train) [128][50/586] lr: 5.000000e-04 eta: 5:44:48 time: 0.446493 data_time: 0.045068 memory: 14278 loss_kpt: 0.000566 acc_pose: 0.850277 loss: 0.000566 2022/09/26 21:21:46 - mmengine - INFO - Epoch(train) [128][100/586] lr: 5.000000e-04 eta: 5:44:27 time: 0.442917 data_time: 0.032403 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.881907 loss: 0.000544 2022/09/26 21:22:09 - mmengine - INFO - Epoch(train) [128][150/586] lr: 5.000000e-04 eta: 5:44:07 time: 0.458688 data_time: 0.031940 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.833373 loss: 0.000537 2022/09/26 21:22:32 - mmengine - INFO - Epoch(train) [128][200/586] lr: 5.000000e-04 eta: 5:43:47 time: 0.446364 data_time: 0.031334 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.881299 loss: 0.000534 2022/09/26 21:22:54 - mmengine - INFO - Epoch(train) [128][250/586] lr: 5.000000e-04 eta: 5:43:26 time: 0.440576 data_time: 0.036247 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.912261 loss: 0.000536 2022/09/26 21:23:16 - mmengine - INFO - Epoch(train) [128][300/586] lr: 5.000000e-04 eta: 5:43:05 time: 0.449178 data_time: 0.029331 memory: 14278 loss_kpt: 0.000551 acc_pose: 0.843130 loss: 0.000551 2022/09/26 21:23:39 - mmengine - INFO - Epoch(train) [128][350/586] lr: 5.000000e-04 eta: 5:42:45 time: 0.460319 data_time: 0.032077 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.821314 loss: 0.000546 2022/09/26 21:24:02 - mmengine - INFO - Epoch(train) [128][400/586] lr: 5.000000e-04 eta: 5:42:24 time: 0.448709 data_time: 0.033806 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.892303 loss: 0.000547 2022/09/26 21:24:24 - mmengine - INFO - Epoch(train) [128][450/586] lr: 5.000000e-04 eta: 5:42:04 time: 0.451330 data_time: 0.029623 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.815866 loss: 0.000534 2022/09/26 21:24:46 - mmengine - INFO - Epoch(train) [128][500/586] lr: 5.000000e-04 eta: 5:41:43 time: 0.446216 data_time: 0.028660 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.858347 loss: 0.000540 2022/09/26 21:25:08 - mmengine - INFO - Epoch(train) [128][550/586] lr: 5.000000e-04 eta: 5:41:22 time: 0.438490 data_time: 0.036435 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.883988 loss: 0.000549 2022/09/26 21:25:21 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:25:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:25:47 - mmengine - INFO - Epoch(train) [129][50/586] lr: 5.000000e-04 eta: 5:40:37 time: 0.468623 data_time: 0.040142 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.865821 loss: 0.000547 2022/09/26 21:26:11 - mmengine - INFO - Epoch(train) [129][100/586] lr: 5.000000e-04 eta: 5:40:17 time: 0.467208 data_time: 0.030638 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.881726 loss: 0.000541 2022/09/26 21:26:33 - mmengine - INFO - Epoch(train) [129][150/586] lr: 5.000000e-04 eta: 5:39:57 time: 0.439156 data_time: 0.031607 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.850282 loss: 0.000545 2022/09/26 21:26:56 - mmengine - INFO - Epoch(train) [129][200/586] lr: 5.000000e-04 eta: 5:39:37 time: 0.472833 data_time: 0.031240 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.851368 loss: 0.000530 2022/09/26 21:27:18 - mmengine - INFO - Epoch(train) [129][250/586] lr: 5.000000e-04 eta: 5:39:16 time: 0.437914 data_time: 0.032789 memory: 14278 loss_kpt: 0.000550 acc_pose: 0.777494 loss: 0.000550 2022/09/26 21:27:41 - mmengine - INFO - Epoch(train) [129][300/586] lr: 5.000000e-04 eta: 5:38:55 time: 0.449660 data_time: 0.032020 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.907902 loss: 0.000519 2022/09/26 21:28:04 - mmengine - INFO - Epoch(train) [129][350/586] lr: 5.000000e-04 eta: 5:38:35 time: 0.455035 data_time: 0.031678 memory: 14278 loss_kpt: 0.000557 acc_pose: 0.834632 loss: 0.000557 2022/09/26 21:28:26 - mmengine - INFO - Epoch(train) [129][400/586] lr: 5.000000e-04 eta: 5:38:14 time: 0.444150 data_time: 0.033764 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.879647 loss: 0.000536 2022/09/26 21:28:48 - mmengine - INFO - Epoch(train) [129][450/586] lr: 5.000000e-04 eta: 5:37:54 time: 0.448703 data_time: 0.033045 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.828440 loss: 0.000537 2022/09/26 21:29:12 - mmengine - INFO - Epoch(train) [129][500/586] lr: 5.000000e-04 eta: 5:37:34 time: 0.466510 data_time: 0.032523 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.831426 loss: 0.000543 2022/09/26 21:29:34 - mmengine - INFO - Epoch(train) [129][550/586] lr: 5.000000e-04 eta: 5:37:13 time: 0.442326 data_time: 0.038723 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.810438 loss: 0.000535 2022/09/26 21:29:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:30:13 - mmengine - INFO - Epoch(train) [130][50/586] lr: 5.000000e-04 eta: 5:36:27 time: 0.450970 data_time: 0.043737 memory: 14278 loss_kpt: 0.000538 acc_pose: 0.879162 loss: 0.000538 2022/09/26 21:30:35 - mmengine - INFO - Epoch(train) [130][100/586] lr: 5.000000e-04 eta: 5:36:07 time: 0.447788 data_time: 0.037948 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.826801 loss: 0.000546 2022/09/26 21:30:58 - mmengine - INFO - Epoch(train) [130][150/586] lr: 5.000000e-04 eta: 5:35:46 time: 0.454294 data_time: 0.029968 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.911300 loss: 0.000528 2022/09/26 21:31:20 - mmengine - INFO - Epoch(train) [130][200/586] lr: 5.000000e-04 eta: 5:35:26 time: 0.451304 data_time: 0.030013 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.861995 loss: 0.000528 2022/09/26 21:31:43 - mmengine - INFO - Epoch(train) [130][250/586] lr: 5.000000e-04 eta: 5:35:05 time: 0.449283 data_time: 0.030633 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.833261 loss: 0.000531 2022/09/26 21:32:05 - mmengine - INFO - Epoch(train) [130][300/586] lr: 5.000000e-04 eta: 5:34:45 time: 0.446282 data_time: 0.030761 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.814245 loss: 0.000539 2022/09/26 21:32:27 - mmengine - INFO - Epoch(train) [130][350/586] lr: 5.000000e-04 eta: 5:34:24 time: 0.443379 data_time: 0.030484 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.855790 loss: 0.000539 2022/09/26 21:32:50 - mmengine - INFO - Epoch(train) [130][400/586] lr: 5.000000e-04 eta: 5:34:03 time: 0.447874 data_time: 0.028681 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.784421 loss: 0.000537 2022/09/26 21:32:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:33:11 - mmengine - INFO - Epoch(train) [130][450/586] lr: 5.000000e-04 eta: 5:33:42 time: 0.436091 data_time: 0.031978 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.818734 loss: 0.000559 2022/09/26 21:33:34 - mmengine - INFO - Epoch(train) [130][500/586] lr: 5.000000e-04 eta: 5:33:22 time: 0.444827 data_time: 0.029996 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.825062 loss: 0.000545 2022/09/26 21:33:57 - mmengine - INFO - Epoch(train) [130][550/586] lr: 5.000000e-04 eta: 5:33:01 time: 0.455505 data_time: 0.031536 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.862884 loss: 0.000535 2022/09/26 21:34:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:34:13 - mmengine - INFO - Saving checkpoint at 130 epochs 2022/09/26 21:34:43 - mmengine - INFO - Epoch(val) [130][50/407] eta: 0:02:05 time: 0.350903 data_time: 0.106770 memory: 14278 2022/09/26 21:34:59 - mmengine - INFO - Epoch(val) [130][100/407] eta: 0:01:41 time: 0.330824 data_time: 0.097172 memory: 2124 2022/09/26 21:35:17 - mmengine - INFO - Epoch(val) [130][150/407] eta: 0:01:29 time: 0.349681 data_time: 0.109473 memory: 2124 2022/09/26 21:35:33 - mmengine - INFO - Epoch(val) [130][200/407] eta: 0:01:05 time: 0.315991 data_time: 0.088943 memory: 2124 2022/09/26 21:35:49 - mmengine - INFO - Epoch(val) [130][250/407] eta: 0:00:52 time: 0.334475 data_time: 0.075930 memory: 2124 2022/09/26 21:36:07 - mmengine - INFO - Epoch(val) [130][300/407] eta: 0:00:37 time: 0.346402 data_time: 0.126882 memory: 2124 2022/09/26 21:36:23 - mmengine - INFO - Epoch(val) [130][350/407] eta: 0:00:18 time: 0.332830 data_time: 0.079877 memory: 2124 2022/09/26 21:36:33 - mmengine - INFO - Epoch(val) [130][400/407] eta: 0:00:01 time: 0.195042 data_time: 0.031734 memory: 2124 2022/09/26 21:37:06 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 21:37:18 - mmengine - INFO - Epoch(val) [130][407/407] coco/AP: 0.740267 coco/AP .5: 0.898517 coco/AP .75: 0.809849 coco/AP (M): 0.699353 coco/AP (L): 0.812392 coco/AR: 0.791892 coco/AR .5: 0.935296 coco/AR .75: 0.854377 coco/AR (M): 0.746900 coco/AR (L): 0.856447 2022/09/26 21:37:43 - mmengine - INFO - Epoch(train) [131][50/586] lr: 5.000000e-04 eta: 5:32:17 time: 0.492394 data_time: 0.041354 memory: 14278 loss_kpt: 0.000561 acc_pose: 0.858010 loss: 0.000561 2022/09/26 21:38:05 - mmengine - INFO - Epoch(train) [131][100/586] lr: 5.000000e-04 eta: 5:31:56 time: 0.430458 data_time: 0.031507 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.927796 loss: 0.000541 2022/09/26 21:38:26 - mmengine - INFO - Epoch(train) [131][150/586] lr: 5.000000e-04 eta: 5:31:35 time: 0.434576 data_time: 0.035156 memory: 14278 loss_kpt: 0.000548 acc_pose: 0.877533 loss: 0.000548 2022/09/26 21:38:50 - mmengine - INFO - Epoch(train) [131][200/586] lr: 5.000000e-04 eta: 5:31:15 time: 0.475123 data_time: 0.033394 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.825720 loss: 0.000534 2022/09/26 21:39:13 - mmengine - INFO - Epoch(train) [131][250/586] lr: 5.000000e-04 eta: 5:30:55 time: 0.451429 data_time: 0.031771 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.907928 loss: 0.000532 2022/09/26 21:39:35 - mmengine - INFO - Epoch(train) [131][300/586] lr: 5.000000e-04 eta: 5:30:34 time: 0.447593 data_time: 0.028596 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.876407 loss: 0.000545 2022/09/26 21:39:57 - mmengine - INFO - Epoch(train) [131][350/586] lr: 5.000000e-04 eta: 5:30:13 time: 0.433881 data_time: 0.029152 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.869213 loss: 0.000534 2022/09/26 21:40:20 - mmengine - INFO - Epoch(train) [131][400/586] lr: 5.000000e-04 eta: 5:29:53 time: 0.458968 data_time: 0.031739 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.855794 loss: 0.000544 2022/09/26 21:40:42 - mmengine - INFO - Epoch(train) [131][450/586] lr: 5.000000e-04 eta: 5:29:32 time: 0.447610 data_time: 0.029776 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.875062 loss: 0.000541 2022/09/26 21:41:04 - mmengine - INFO - Epoch(train) [131][500/586] lr: 5.000000e-04 eta: 5:29:11 time: 0.441995 data_time: 0.028454 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.869174 loss: 0.000535 2022/09/26 21:41:27 - mmengine - INFO - Epoch(train) [131][550/586] lr: 5.000000e-04 eta: 5:28:51 time: 0.458192 data_time: 0.029446 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.874609 loss: 0.000526 2022/09/26 21:41:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:42:06 - mmengine - INFO - Epoch(train) [132][50/586] lr: 5.000000e-04 eta: 5:28:06 time: 0.451658 data_time: 0.046184 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.883513 loss: 0.000518 2022/09/26 21:42:28 - mmengine - INFO - Epoch(train) [132][100/586] lr: 5.000000e-04 eta: 5:27:45 time: 0.440332 data_time: 0.029194 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.860255 loss: 0.000536 2022/09/26 21:42:50 - mmengine - INFO - Epoch(train) [132][150/586] lr: 5.000000e-04 eta: 5:27:24 time: 0.443072 data_time: 0.033452 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.836403 loss: 0.000545 2022/09/26 21:43:12 - mmengine - INFO - Epoch(train) [132][200/586] lr: 5.000000e-04 eta: 5:27:04 time: 0.442037 data_time: 0.030924 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.843458 loss: 0.000540 2022/09/26 21:43:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:43:34 - mmengine - INFO - Epoch(train) [132][250/586] lr: 5.000000e-04 eta: 5:26:43 time: 0.439259 data_time: 0.032819 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.831600 loss: 0.000519 2022/09/26 21:43:57 - mmengine - INFO - Epoch(train) [132][300/586] lr: 5.000000e-04 eta: 5:26:22 time: 0.455705 data_time: 0.037050 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.869922 loss: 0.000531 2022/09/26 21:44:19 - mmengine - INFO - Epoch(train) [132][350/586] lr: 5.000000e-04 eta: 5:26:02 time: 0.450017 data_time: 0.030909 memory: 14278 loss_kpt: 0.000533 acc_pose: 0.886540 loss: 0.000533 2022/09/26 21:44:42 - mmengine - INFO - Epoch(train) [132][400/586] lr: 5.000000e-04 eta: 5:25:41 time: 0.446687 data_time: 0.033747 memory: 14278 loss_kpt: 0.000560 acc_pose: 0.853240 loss: 0.000560 2022/09/26 21:45:04 - mmengine - INFO - Epoch(train) [132][450/586] lr: 5.000000e-04 eta: 5:25:20 time: 0.445584 data_time: 0.035593 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.827147 loss: 0.000543 2022/09/26 21:45:26 - mmengine - INFO - Epoch(train) [132][500/586] lr: 5.000000e-04 eta: 5:25:00 time: 0.442695 data_time: 0.031726 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.885490 loss: 0.000526 2022/09/26 21:45:48 - mmengine - INFO - Epoch(train) [132][550/586] lr: 5.000000e-04 eta: 5:24:39 time: 0.437780 data_time: 0.037205 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.850537 loss: 0.000540 2022/09/26 21:46:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:46:27 - mmengine - INFO - Epoch(train) [133][50/586] lr: 5.000000e-04 eta: 5:23:54 time: 0.459361 data_time: 0.039016 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.854515 loss: 0.000529 2022/09/26 21:46:50 - mmengine - INFO - Epoch(train) [133][100/586] lr: 5.000000e-04 eta: 5:23:34 time: 0.456351 data_time: 0.032486 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.835020 loss: 0.000537 2022/09/26 21:47:12 - mmengine - INFO - Epoch(train) [133][150/586] lr: 5.000000e-04 eta: 5:23:13 time: 0.438559 data_time: 0.029690 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.870777 loss: 0.000553 2022/09/26 21:47:33 - mmengine - INFO - Epoch(train) [133][200/586] lr: 5.000000e-04 eta: 5:22:52 time: 0.430080 data_time: 0.029930 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.809756 loss: 0.000541 2022/09/26 21:47:56 - mmengine - INFO - Epoch(train) [133][250/586] lr: 5.000000e-04 eta: 5:22:31 time: 0.460831 data_time: 0.032327 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.868742 loss: 0.000534 2022/09/26 21:48:18 - mmengine - INFO - Epoch(train) [133][300/586] lr: 5.000000e-04 eta: 5:22:10 time: 0.441792 data_time: 0.029460 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.842891 loss: 0.000522 2022/09/26 21:48:41 - mmengine - INFO - Epoch(train) [133][350/586] lr: 5.000000e-04 eta: 5:21:50 time: 0.449510 data_time: 0.033815 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.918929 loss: 0.000525 2022/09/26 21:49:04 - mmengine - INFO - Epoch(train) [133][400/586] lr: 5.000000e-04 eta: 5:21:30 time: 0.459259 data_time: 0.033719 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.886921 loss: 0.000534 2022/09/26 21:49:26 - mmengine - INFO - Epoch(train) [133][450/586] lr: 5.000000e-04 eta: 5:21:09 time: 0.440011 data_time: 0.039350 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.838959 loss: 0.000535 2022/09/26 21:49:48 - mmengine - INFO - Epoch(train) [133][500/586] lr: 5.000000e-04 eta: 5:20:48 time: 0.454280 data_time: 0.030829 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.868519 loss: 0.000527 2022/09/26 21:50:11 - mmengine - INFO - Epoch(train) [133][550/586] lr: 5.000000e-04 eta: 5:20:28 time: 0.448715 data_time: 0.034622 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.775176 loss: 0.000532 2022/09/26 21:50:28 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:50:51 - mmengine - INFO - Epoch(train) [134][50/586] lr: 5.000000e-04 eta: 5:19:43 time: 0.473228 data_time: 0.048896 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.883426 loss: 0.000530 2022/09/26 21:50:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:51:13 - mmengine - INFO - Epoch(train) [134][100/586] lr: 5.000000e-04 eta: 5:19:23 time: 0.444015 data_time: 0.030440 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.861744 loss: 0.000523 2022/09/26 21:51:36 - mmengine - INFO - Epoch(train) [134][150/586] lr: 5.000000e-04 eta: 5:19:02 time: 0.447755 data_time: 0.038271 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.854054 loss: 0.000527 2022/09/26 21:51:58 - mmengine - INFO - Epoch(train) [134][200/586] lr: 5.000000e-04 eta: 5:18:41 time: 0.442469 data_time: 0.033801 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.864420 loss: 0.000539 2022/09/26 21:52:20 - mmengine - INFO - Epoch(train) [134][250/586] lr: 5.000000e-04 eta: 5:18:21 time: 0.444889 data_time: 0.029848 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.872698 loss: 0.000534 2022/09/26 21:52:42 - mmengine - INFO - Epoch(train) [134][300/586] lr: 5.000000e-04 eta: 5:18:00 time: 0.438225 data_time: 0.029330 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.892299 loss: 0.000535 2022/09/26 21:53:04 - mmengine - INFO - Epoch(train) [134][350/586] lr: 5.000000e-04 eta: 5:17:39 time: 0.444214 data_time: 0.031684 memory: 14278 loss_kpt: 0.000548 acc_pose: 0.891260 loss: 0.000548 2022/09/26 21:53:27 - mmengine - INFO - Epoch(train) [134][400/586] lr: 5.000000e-04 eta: 5:17:18 time: 0.448919 data_time: 0.033793 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.882825 loss: 0.000525 2022/09/26 21:53:50 - mmengine - INFO - Epoch(train) [134][450/586] lr: 5.000000e-04 eta: 5:16:58 time: 0.461991 data_time: 0.031332 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.872092 loss: 0.000539 2022/09/26 21:54:13 - mmengine - INFO - Epoch(train) [134][500/586] lr: 5.000000e-04 eta: 5:16:37 time: 0.452671 data_time: 0.030259 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.879658 loss: 0.000543 2022/09/26 21:54:34 - mmengine - INFO - Epoch(train) [134][550/586] lr: 5.000000e-04 eta: 5:16:16 time: 0.433587 data_time: 0.028985 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.886301 loss: 0.000531 2022/09/26 21:54:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:55:14 - mmengine - INFO - Epoch(train) [135][50/586] lr: 5.000000e-04 eta: 5:15:32 time: 0.471369 data_time: 0.055037 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.907739 loss: 0.000549 2022/09/26 21:55:36 - mmengine - INFO - Epoch(train) [135][100/586] lr: 5.000000e-04 eta: 5:15:12 time: 0.446794 data_time: 0.029317 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.857141 loss: 0.000522 2022/09/26 21:55:58 - mmengine - INFO - Epoch(train) [135][150/586] lr: 5.000000e-04 eta: 5:14:51 time: 0.439075 data_time: 0.032105 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.861723 loss: 0.000525 2022/09/26 21:56:20 - mmengine - INFO - Epoch(train) [135][200/586] lr: 5.000000e-04 eta: 5:14:30 time: 0.437009 data_time: 0.030380 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.886735 loss: 0.000546 2022/09/26 21:56:42 - mmengine - INFO - Epoch(train) [135][250/586] lr: 5.000000e-04 eta: 5:14:09 time: 0.451823 data_time: 0.030763 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.887341 loss: 0.000523 2022/09/26 21:57:05 - mmengine - INFO - Epoch(train) [135][300/586] lr: 5.000000e-04 eta: 5:13:49 time: 0.447345 data_time: 0.029857 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.808589 loss: 0.000526 2022/09/26 21:57:27 - mmengine - INFO - Epoch(train) [135][350/586] lr: 5.000000e-04 eta: 5:13:28 time: 0.444354 data_time: 0.041125 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.840761 loss: 0.000541 2022/09/26 21:57:50 - mmengine - INFO - Epoch(train) [135][400/586] lr: 5.000000e-04 eta: 5:13:08 time: 0.460448 data_time: 0.030559 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.885174 loss: 0.000534 2022/09/26 21:58:13 - mmengine - INFO - Epoch(train) [135][450/586] lr: 5.000000e-04 eta: 5:12:47 time: 0.452303 data_time: 0.031299 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.799572 loss: 0.000537 2022/09/26 21:58:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:58:35 - mmengine - INFO - Epoch(train) [135][500/586] lr: 5.000000e-04 eta: 5:12:27 time: 0.455032 data_time: 0.032777 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.844167 loss: 0.000549 2022/09/26 21:58:58 - mmengine - INFO - Epoch(train) [135][550/586] lr: 5.000000e-04 eta: 5:12:06 time: 0.456983 data_time: 0.039557 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.848970 loss: 0.000541 2022/09/26 21:59:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 21:59:38 - mmengine - INFO - Epoch(train) [136][50/586] lr: 5.000000e-04 eta: 5:11:23 time: 0.481566 data_time: 0.040601 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.874855 loss: 0.000523 2022/09/26 22:00:01 - mmengine - INFO - Epoch(train) [136][100/586] lr: 5.000000e-04 eta: 5:11:02 time: 0.446930 data_time: 0.030570 memory: 14278 loss_kpt: 0.000547 acc_pose: 0.862696 loss: 0.000547 2022/09/26 22:00:23 - mmengine - INFO - Epoch(train) [136][150/586] lr: 5.000000e-04 eta: 5:10:41 time: 0.442355 data_time: 0.031852 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.796135 loss: 0.000545 2022/09/26 22:00:45 - mmengine - INFO - Epoch(train) [136][200/586] lr: 5.000000e-04 eta: 5:10:20 time: 0.440377 data_time: 0.039509 memory: 14278 loss_kpt: 0.000538 acc_pose: 0.881936 loss: 0.000538 2022/09/26 22:01:07 - mmengine - INFO - Epoch(train) [136][250/586] lr: 5.000000e-04 eta: 5:09:59 time: 0.437209 data_time: 0.031900 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.828290 loss: 0.000519 2022/09/26 22:01:30 - mmengine - INFO - Epoch(train) [136][300/586] lr: 5.000000e-04 eta: 5:09:39 time: 0.461331 data_time: 0.030163 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.823223 loss: 0.000531 2022/09/26 22:01:52 - mmengine - INFO - Epoch(train) [136][350/586] lr: 5.000000e-04 eta: 5:09:18 time: 0.440889 data_time: 0.030601 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.893970 loss: 0.000518 2022/09/26 22:02:14 - mmengine - INFO - Epoch(train) [136][400/586] lr: 5.000000e-04 eta: 5:08:57 time: 0.439753 data_time: 0.031111 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.864408 loss: 0.000537 2022/09/26 22:02:35 - mmengine - INFO - Epoch(train) [136][450/586] lr: 5.000000e-04 eta: 5:08:36 time: 0.432013 data_time: 0.031801 memory: 14278 loss_kpt: 0.000545 acc_pose: 0.871499 loss: 0.000545 2022/09/26 22:02:59 - mmengine - INFO - Epoch(train) [136][500/586] lr: 5.000000e-04 eta: 5:08:16 time: 0.463465 data_time: 0.031329 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.883872 loss: 0.000529 2022/09/26 22:03:21 - mmengine - INFO - Epoch(train) [136][550/586] lr: 5.000000e-04 eta: 5:07:55 time: 0.454955 data_time: 0.034249 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.868171 loss: 0.000540 2022/09/26 22:03:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:04:00 - mmengine - INFO - Epoch(train) [137][50/586] lr: 5.000000e-04 eta: 5:07:11 time: 0.453887 data_time: 0.041469 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.831539 loss: 0.000517 2022/09/26 22:04:22 - mmengine - INFO - Epoch(train) [137][100/586] lr: 5.000000e-04 eta: 5:06:50 time: 0.436279 data_time: 0.031695 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.836403 loss: 0.000523 2022/09/26 22:04:44 - mmengine - INFO - Epoch(train) [137][150/586] lr: 5.000000e-04 eta: 5:06:30 time: 0.451734 data_time: 0.038750 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.847243 loss: 0.000534 2022/09/26 22:05:07 - mmengine - INFO - Epoch(train) [137][200/586] lr: 5.000000e-04 eta: 5:06:09 time: 0.448707 data_time: 0.031787 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.874611 loss: 0.000540 2022/09/26 22:05:29 - mmengine - INFO - Epoch(train) [137][250/586] lr: 5.000000e-04 eta: 5:05:48 time: 0.443483 data_time: 0.032847 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.828137 loss: 0.000541 2022/09/26 22:05:51 - mmengine - INFO - Epoch(train) [137][300/586] lr: 5.000000e-04 eta: 5:05:27 time: 0.435901 data_time: 0.030144 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.812587 loss: 0.000527 2022/09/26 22:05:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:06:13 - mmengine - INFO - Epoch(train) [137][350/586] lr: 5.000000e-04 eta: 5:05:06 time: 0.444122 data_time: 0.028611 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.876033 loss: 0.000540 2022/09/26 22:06:36 - mmengine - INFO - Epoch(train) [137][400/586] lr: 5.000000e-04 eta: 5:04:46 time: 0.457030 data_time: 0.037844 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.832532 loss: 0.000521 2022/09/26 22:06:58 - mmengine - INFO - Epoch(train) [137][450/586] lr: 5.000000e-04 eta: 5:04:25 time: 0.443167 data_time: 0.032831 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.920058 loss: 0.000525 2022/09/26 22:07:20 - mmengine - INFO - Epoch(train) [137][500/586] lr: 5.000000e-04 eta: 5:04:04 time: 0.447596 data_time: 0.032360 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.819455 loss: 0.000537 2022/09/26 22:07:42 - mmengine - INFO - Epoch(train) [137][550/586] lr: 5.000000e-04 eta: 5:03:44 time: 0.441182 data_time: 0.030045 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.780756 loss: 0.000528 2022/09/26 22:07:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:08:22 - mmengine - INFO - Epoch(train) [138][50/586] lr: 5.000000e-04 eta: 5:03:00 time: 0.472904 data_time: 0.050645 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.877015 loss: 0.000534 2022/09/26 22:08:44 - mmengine - INFO - Epoch(train) [138][100/586] lr: 5.000000e-04 eta: 5:02:39 time: 0.448102 data_time: 0.031172 memory: 14278 loss_kpt: 0.000514 acc_pose: 0.880799 loss: 0.000514 2022/09/26 22:09:06 - mmengine - INFO - Epoch(train) [138][150/586] lr: 5.000000e-04 eta: 5:02:19 time: 0.445137 data_time: 0.030384 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.905971 loss: 0.000517 2022/09/26 22:09:28 - mmengine - INFO - Epoch(train) [138][200/586] lr: 5.000000e-04 eta: 5:01:58 time: 0.437677 data_time: 0.031461 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.834704 loss: 0.000536 2022/09/26 22:09:51 - mmengine - INFO - Epoch(train) [138][250/586] lr: 5.000000e-04 eta: 5:01:37 time: 0.454552 data_time: 0.036013 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.796059 loss: 0.000542 2022/09/26 22:10:13 - mmengine - INFO - Epoch(train) [138][300/586] lr: 5.000000e-04 eta: 5:01:16 time: 0.435651 data_time: 0.035100 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.876333 loss: 0.000526 2022/09/26 22:10:36 - mmengine - INFO - Epoch(train) [138][350/586] lr: 5.000000e-04 eta: 5:00:56 time: 0.459270 data_time: 0.031141 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.882058 loss: 0.000525 2022/09/26 22:10:58 - mmengine - INFO - Epoch(train) [138][400/586] lr: 5.000000e-04 eta: 5:00:35 time: 0.438550 data_time: 0.030550 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.806161 loss: 0.000549 2022/09/26 22:11:20 - mmengine - INFO - Epoch(train) [138][450/586] lr: 5.000000e-04 eta: 5:00:14 time: 0.445849 data_time: 0.031264 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.824713 loss: 0.000527 2022/09/26 22:11:42 - mmengine - INFO - Epoch(train) [138][500/586] lr: 5.000000e-04 eta: 4:59:53 time: 0.439321 data_time: 0.029830 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.867280 loss: 0.000546 2022/09/26 22:12:04 - mmengine - INFO - Epoch(train) [138][550/586] lr: 5.000000e-04 eta: 4:59:32 time: 0.434179 data_time: 0.029992 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.833318 loss: 0.000529 2022/09/26 22:12:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:12:44 - mmengine - INFO - Epoch(train) [139][50/586] lr: 5.000000e-04 eta: 4:58:49 time: 0.478641 data_time: 0.047836 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.873324 loss: 0.000534 2022/09/26 22:13:06 - mmengine - INFO - Epoch(train) [139][100/586] lr: 5.000000e-04 eta: 4:58:28 time: 0.442972 data_time: 0.030643 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.873101 loss: 0.000524 2022/09/26 22:13:21 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:13:28 - mmengine - INFO - Epoch(train) [139][150/586] lr: 5.000000e-04 eta: 4:58:07 time: 0.449394 data_time: 0.032602 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.879385 loss: 0.000531 2022/09/26 22:13:50 - mmengine - INFO - Epoch(train) [139][200/586] lr: 5.000000e-04 eta: 4:57:46 time: 0.434801 data_time: 0.033290 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.866108 loss: 0.000535 2022/09/26 22:14:12 - mmengine - INFO - Epoch(train) [139][250/586] lr: 5.000000e-04 eta: 4:57:26 time: 0.440873 data_time: 0.042274 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.760966 loss: 0.000522 2022/09/26 22:14:36 - mmengine - INFO - Epoch(train) [139][300/586] lr: 5.000000e-04 eta: 4:57:05 time: 0.467034 data_time: 0.030112 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.859478 loss: 0.000525 2022/09/26 22:14:57 - mmengine - INFO - Epoch(train) [139][350/586] lr: 5.000000e-04 eta: 4:56:44 time: 0.438926 data_time: 0.030492 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.880311 loss: 0.000549 2022/09/26 22:15:19 - mmengine - INFO - Epoch(train) [139][400/586] lr: 5.000000e-04 eta: 4:56:23 time: 0.435187 data_time: 0.031563 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.873943 loss: 0.000534 2022/09/26 22:15:41 - mmengine - INFO - Epoch(train) [139][450/586] lr: 5.000000e-04 eta: 4:56:02 time: 0.437101 data_time: 0.032100 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.883358 loss: 0.000522 2022/09/26 22:16:04 - mmengine - INFO - Epoch(train) [139][500/586] lr: 5.000000e-04 eta: 4:55:42 time: 0.452302 data_time: 0.039306 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.820264 loss: 0.000528 2022/09/26 22:16:27 - mmengine - INFO - Epoch(train) [139][550/586] lr: 5.000000e-04 eta: 4:55:21 time: 0.459575 data_time: 0.028640 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.889185 loss: 0.000522 2022/09/26 22:16:42 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:17:06 - mmengine - INFO - Epoch(train) [140][50/586] lr: 5.000000e-04 eta: 4:54:38 time: 0.463299 data_time: 0.039475 memory: 14278 loss_kpt: 0.000533 acc_pose: 0.889683 loss: 0.000533 2022/09/26 22:17:28 - mmengine - INFO - Epoch(train) [140][100/586] lr: 5.000000e-04 eta: 4:54:17 time: 0.438896 data_time: 0.035099 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.872665 loss: 0.000529 2022/09/26 22:17:51 - mmengine - INFO - Epoch(train) [140][150/586] lr: 5.000000e-04 eta: 4:53:57 time: 0.461071 data_time: 0.031382 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.830313 loss: 0.000523 2022/09/26 22:18:13 - mmengine - INFO - Epoch(train) [140][200/586] lr: 5.000000e-04 eta: 4:53:36 time: 0.455620 data_time: 0.030837 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.875067 loss: 0.000525 2022/09/26 22:18:36 - mmengine - INFO - Epoch(train) [140][250/586] lr: 5.000000e-04 eta: 4:53:15 time: 0.444698 data_time: 0.029077 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.859357 loss: 0.000530 2022/09/26 22:18:58 - mmengine - INFO - Epoch(train) [140][300/586] lr: 5.000000e-04 eta: 4:52:55 time: 0.450783 data_time: 0.030887 memory: 14278 loss_kpt: 0.000533 acc_pose: 0.899785 loss: 0.000533 2022/09/26 22:19:20 - mmengine - INFO - Epoch(train) [140][350/586] lr: 5.000000e-04 eta: 4:52:34 time: 0.440045 data_time: 0.031056 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.800633 loss: 0.000535 2022/09/26 22:19:44 - mmengine - INFO - Epoch(train) [140][400/586] lr: 5.000000e-04 eta: 4:52:14 time: 0.464475 data_time: 0.037881 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.849074 loss: 0.000508 2022/09/26 22:20:06 - mmengine - INFO - Epoch(train) [140][450/586] lr: 5.000000e-04 eta: 4:51:53 time: 0.440601 data_time: 0.029661 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.846921 loss: 0.000537 2022/09/26 22:20:28 - mmengine - INFO - Epoch(train) [140][500/586] lr: 5.000000e-04 eta: 4:51:32 time: 0.452041 data_time: 0.031033 memory: 14278 loss_kpt: 0.000549 acc_pose: 0.895754 loss: 0.000549 2022/09/26 22:20:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:20:51 - mmengine - INFO - Epoch(train) [140][550/586] lr: 5.000000e-04 eta: 4:51:12 time: 0.456565 data_time: 0.030657 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.769815 loss: 0.000527 2022/09/26 22:21:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:21:07 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/09/26 22:21:33 - mmengine - INFO - Epoch(val) [140][50/407] eta: 0:02:11 time: 0.369651 data_time: 0.118907 memory: 14278 2022/09/26 22:21:50 - mmengine - INFO - Epoch(val) [140][100/407] eta: 0:01:42 time: 0.334017 data_time: 0.090282 memory: 2124 2022/09/26 22:22:07 - mmengine - INFO - Epoch(val) [140][150/407] eta: 0:01:24 time: 0.329354 data_time: 0.097011 memory: 2124 2022/09/26 22:22:23 - mmengine - INFO - Epoch(val) [140][200/407] eta: 0:01:09 time: 0.336122 data_time: 0.094414 memory: 2124 2022/09/26 22:22:40 - mmengine - INFO - Epoch(val) [140][250/407] eta: 0:00:52 time: 0.335327 data_time: 0.090015 memory: 2124 2022/09/26 22:22:58 - mmengine - INFO - Epoch(val) [140][300/407] eta: 0:00:37 time: 0.348235 data_time: 0.098216 memory: 2124 2022/09/26 22:23:15 - mmengine - INFO - Epoch(val) [140][350/407] eta: 0:00:20 time: 0.351389 data_time: 0.107365 memory: 2124 2022/09/26 22:23:26 - mmengine - INFO - Epoch(val) [140][400/407] eta: 0:00:01 time: 0.210188 data_time: 0.055040 memory: 2124 2022/09/26 22:23:58 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 22:24:11 - mmengine - INFO - Epoch(val) [140][407/407] coco/AP: 0.742491 coco/AP .5: 0.901676 coco/AP .75: 0.814131 coco/AP (M): 0.702725 coco/AP (L): 0.811993 coco/AR: 0.792884 coco/AR .5: 0.938917 coco/AR .75: 0.856266 coco/AR (M): 0.748320 coco/AR (L): 0.857042 2022/09/26 22:24:11 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_110.pth is removed 2022/09/26 22:24:14 - mmengine - INFO - The best checkpoint with 0.7425 coco/AP at 140 epoch is saved to best_coco/AP_epoch_140.pth. 2022/09/26 22:24:36 - mmengine - INFO - Epoch(train) [141][50/586] lr: 5.000000e-04 eta: 4:50:28 time: 0.448762 data_time: 0.035345 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.865354 loss: 0.000522 2022/09/26 22:24:59 - mmengine - INFO - Epoch(train) [141][100/586] lr: 5.000000e-04 eta: 4:50:07 time: 0.453319 data_time: 0.029704 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.838181 loss: 0.000535 2022/09/26 22:25:22 - mmengine - INFO - Epoch(train) [141][150/586] lr: 5.000000e-04 eta: 4:49:47 time: 0.458280 data_time: 0.036084 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.850541 loss: 0.000524 2022/09/26 22:25:44 - mmengine - INFO - Epoch(train) [141][200/586] lr: 5.000000e-04 eta: 4:49:26 time: 0.438424 data_time: 0.031957 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.889908 loss: 0.000531 2022/09/26 22:26:06 - mmengine - INFO - Epoch(train) [141][250/586] lr: 5.000000e-04 eta: 4:49:05 time: 0.449011 data_time: 0.034084 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.799419 loss: 0.000521 2022/09/26 22:26:28 - mmengine - INFO - Epoch(train) [141][300/586] lr: 5.000000e-04 eta: 4:48:44 time: 0.436037 data_time: 0.029006 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.908280 loss: 0.000531 2022/09/26 22:26:50 - mmengine - INFO - Epoch(train) [141][350/586] lr: 5.000000e-04 eta: 4:48:23 time: 0.443966 data_time: 0.031543 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.839998 loss: 0.000531 2022/09/26 22:27:13 - mmengine - INFO - Epoch(train) [141][400/586] lr: 5.000000e-04 eta: 4:48:03 time: 0.448434 data_time: 0.032948 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.875615 loss: 0.000526 2022/09/26 22:27:35 - mmengine - INFO - Epoch(train) [141][450/586] lr: 5.000000e-04 eta: 4:47:42 time: 0.440508 data_time: 0.031778 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.795688 loss: 0.000541 2022/09/26 22:27:57 - mmengine - INFO - Epoch(train) [141][500/586] lr: 5.000000e-04 eta: 4:47:21 time: 0.455291 data_time: 0.031215 memory: 14278 loss_kpt: 0.000559 acc_pose: 0.862037 loss: 0.000559 2022/09/26 22:28:20 - mmengine - INFO - Epoch(train) [141][550/586] lr: 5.000000e-04 eta: 4:47:01 time: 0.449226 data_time: 0.034543 memory: 14278 loss_kpt: 0.000533 acc_pose: 0.844111 loss: 0.000533 2022/09/26 22:28:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:28:59 - mmengine - INFO - Epoch(train) [142][50/586] lr: 5.000000e-04 eta: 4:46:17 time: 0.464761 data_time: 0.044361 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.790966 loss: 0.000524 2022/09/26 22:29:21 - mmengine - INFO - Epoch(train) [142][100/586] lr: 5.000000e-04 eta: 4:45:57 time: 0.447447 data_time: 0.031666 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.881973 loss: 0.000531 2022/09/26 22:29:44 - mmengine - INFO - Epoch(train) [142][150/586] lr: 5.000000e-04 eta: 4:45:36 time: 0.455027 data_time: 0.031869 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.840061 loss: 0.000512 2022/09/26 22:30:05 - mmengine - INFO - Epoch(train) [142][200/586] lr: 5.000000e-04 eta: 4:45:15 time: 0.429288 data_time: 0.030621 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.870632 loss: 0.000532 2022/09/26 22:30:28 - mmengine - INFO - Epoch(train) [142][250/586] lr: 5.000000e-04 eta: 4:44:54 time: 0.447784 data_time: 0.033339 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.880154 loss: 0.000525 2022/09/26 22:30:50 - mmengine - INFO - Epoch(train) [142][300/586] lr: 5.000000e-04 eta: 4:44:33 time: 0.443464 data_time: 0.035641 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.861767 loss: 0.000525 2022/09/26 22:31:12 - mmengine - INFO - Epoch(train) [142][350/586] lr: 5.000000e-04 eta: 4:44:13 time: 0.445649 data_time: 0.031460 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.908421 loss: 0.000519 2022/09/26 22:31:23 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:31:35 - mmengine - INFO - Epoch(train) [142][400/586] lr: 5.000000e-04 eta: 4:43:52 time: 0.453650 data_time: 0.030725 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.842405 loss: 0.000536 2022/09/26 22:31:57 - mmengine - INFO - Epoch(train) [142][450/586] lr: 5.000000e-04 eta: 4:43:31 time: 0.433091 data_time: 0.034438 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.880832 loss: 0.000518 2022/09/26 22:32:18 - mmengine - INFO - Epoch(train) [142][500/586] lr: 5.000000e-04 eta: 4:43:10 time: 0.429092 data_time: 0.032284 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.865872 loss: 0.000529 2022/09/26 22:32:40 - mmengine - INFO - Epoch(train) [142][550/586] lr: 5.000000e-04 eta: 4:42:49 time: 0.441423 data_time: 0.031161 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.824738 loss: 0.000534 2022/09/26 22:32:56 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:33:19 - mmengine - INFO - Epoch(train) [143][50/586] lr: 5.000000e-04 eta: 4:42:06 time: 0.454972 data_time: 0.041888 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.871002 loss: 0.000518 2022/09/26 22:33:40 - mmengine - INFO - Epoch(train) [143][100/586] lr: 5.000000e-04 eta: 4:41:45 time: 0.435891 data_time: 0.030523 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.867600 loss: 0.000539 2022/09/26 22:34:03 - mmengine - INFO - Epoch(train) [143][150/586] lr: 5.000000e-04 eta: 4:41:24 time: 0.445934 data_time: 0.031615 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.838676 loss: 0.000529 2022/09/26 22:34:26 - mmengine - INFO - Epoch(train) [143][200/586] lr: 5.000000e-04 eta: 4:41:03 time: 0.454555 data_time: 0.036508 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.849019 loss: 0.000529 2022/09/26 22:34:47 - mmengine - INFO - Epoch(train) [143][250/586] lr: 5.000000e-04 eta: 4:40:42 time: 0.433937 data_time: 0.030249 memory: 14278 loss_kpt: 0.000533 acc_pose: 0.811939 loss: 0.000533 2022/09/26 22:35:09 - mmengine - INFO - Epoch(train) [143][300/586] lr: 5.000000e-04 eta: 4:40:21 time: 0.436322 data_time: 0.030083 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.900767 loss: 0.000524 2022/09/26 22:35:31 - mmengine - INFO - Epoch(train) [143][350/586] lr: 5.000000e-04 eta: 4:40:00 time: 0.438024 data_time: 0.032927 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.861148 loss: 0.000534 2022/09/26 22:35:53 - mmengine - INFO - Epoch(train) [143][400/586] lr: 5.000000e-04 eta: 4:39:39 time: 0.443941 data_time: 0.030601 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.846967 loss: 0.000521 2022/09/26 22:36:16 - mmengine - INFO - Epoch(train) [143][450/586] lr: 5.000000e-04 eta: 4:39:19 time: 0.446503 data_time: 0.035763 memory: 14278 loss_kpt: 0.000553 acc_pose: 0.880573 loss: 0.000553 2022/09/26 22:36:37 - mmengine - INFO - Epoch(train) [143][500/586] lr: 5.000000e-04 eta: 4:38:58 time: 0.438551 data_time: 0.028944 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.800712 loss: 0.000521 2022/09/26 22:36:59 - mmengine - INFO - Epoch(train) [143][550/586] lr: 5.000000e-04 eta: 4:38:37 time: 0.437666 data_time: 0.029960 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.850091 loss: 0.000539 2022/09/26 22:37:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:37:39 - mmengine - INFO - Epoch(train) [144][50/586] lr: 5.000000e-04 eta: 4:37:54 time: 0.454830 data_time: 0.043465 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.816774 loss: 0.000521 2022/09/26 22:38:01 - mmengine - INFO - Epoch(train) [144][100/586] lr: 5.000000e-04 eta: 4:37:33 time: 0.445913 data_time: 0.031003 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.893614 loss: 0.000517 2022/09/26 22:38:24 - mmengine - INFO - Epoch(train) [144][150/586] lr: 5.000000e-04 eta: 4:37:12 time: 0.454232 data_time: 0.030043 memory: 14278 loss_kpt: 0.000540 acc_pose: 0.895907 loss: 0.000540 2022/09/26 22:38:46 - mmengine - INFO - Epoch(train) [144][200/586] lr: 5.000000e-04 eta: 4:36:51 time: 0.439400 data_time: 0.033784 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.750878 loss: 0.000537 2022/09/26 22:38:47 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:39:08 - mmengine - INFO - Epoch(train) [144][250/586] lr: 5.000000e-04 eta: 4:36:30 time: 0.437732 data_time: 0.033963 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.915849 loss: 0.000515 2022/09/26 22:39:30 - mmengine - INFO - Epoch(train) [144][300/586] lr: 5.000000e-04 eta: 4:36:10 time: 0.450310 data_time: 0.027657 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.886699 loss: 0.000521 2022/09/26 22:39:52 - mmengine - INFO - Epoch(train) [144][350/586] lr: 5.000000e-04 eta: 4:35:49 time: 0.439332 data_time: 0.034343 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.917732 loss: 0.000535 2022/09/26 22:40:15 - mmengine - INFO - Epoch(train) [144][400/586] lr: 5.000000e-04 eta: 4:35:28 time: 0.454660 data_time: 0.030099 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.864153 loss: 0.000529 2022/09/26 22:40:37 - mmengine - INFO - Epoch(train) [144][450/586] lr: 5.000000e-04 eta: 4:35:07 time: 0.436872 data_time: 0.029332 memory: 14278 loss_kpt: 0.000537 acc_pose: 0.850172 loss: 0.000537 2022/09/26 22:40:58 - mmengine - INFO - Epoch(train) [144][500/586] lr: 5.000000e-04 eta: 4:34:46 time: 0.431617 data_time: 0.030561 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.891556 loss: 0.000520 2022/09/26 22:41:21 - mmengine - INFO - Epoch(train) [144][550/586] lr: 5.000000e-04 eta: 4:34:25 time: 0.448080 data_time: 0.031308 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.829998 loss: 0.000526 2022/09/26 22:41:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:41:59 - mmengine - INFO - Epoch(train) [145][50/586] lr: 5.000000e-04 eta: 4:33:42 time: 0.456190 data_time: 0.041465 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.805452 loss: 0.000531 2022/09/26 22:42:21 - mmengine - INFO - Epoch(train) [145][100/586] lr: 5.000000e-04 eta: 4:33:21 time: 0.437066 data_time: 0.030034 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.868714 loss: 0.000530 2022/09/26 22:42:43 - mmengine - INFO - Epoch(train) [145][150/586] lr: 5.000000e-04 eta: 4:33:01 time: 0.450418 data_time: 0.031378 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.882126 loss: 0.000524 2022/09/26 22:43:06 - mmengine - INFO - Epoch(train) [145][200/586] lr: 5.000000e-04 eta: 4:32:40 time: 0.443753 data_time: 0.031793 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.885547 loss: 0.000529 2022/09/26 22:43:28 - mmengine - INFO - Epoch(train) [145][250/586] lr: 5.000000e-04 eta: 4:32:19 time: 0.444439 data_time: 0.031097 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.880024 loss: 0.000530 2022/09/26 22:43:50 - mmengine - INFO - Epoch(train) [145][300/586] lr: 5.000000e-04 eta: 4:31:58 time: 0.444619 data_time: 0.030991 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.846768 loss: 0.000519 2022/09/26 22:44:12 - mmengine - INFO - Epoch(train) [145][350/586] lr: 5.000000e-04 eta: 4:31:37 time: 0.438332 data_time: 0.032324 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.902164 loss: 0.000529 2022/09/26 22:44:34 - mmengine - INFO - Epoch(train) [145][400/586] lr: 5.000000e-04 eta: 4:31:17 time: 0.448526 data_time: 0.031106 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.870736 loss: 0.000524 2022/09/26 22:44:56 - mmengine - INFO - Epoch(train) [145][450/586] lr: 5.000000e-04 eta: 4:30:56 time: 0.440163 data_time: 0.033652 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.854820 loss: 0.000526 2022/09/26 22:45:19 - mmengine - INFO - Epoch(train) [145][500/586] lr: 5.000000e-04 eta: 4:30:35 time: 0.446207 data_time: 0.031689 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.861417 loss: 0.000527 2022/09/26 22:45:41 - mmengine - INFO - Epoch(train) [145][550/586] lr: 5.000000e-04 eta: 4:30:14 time: 0.446945 data_time: 0.033369 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.831440 loss: 0.000530 2022/09/26 22:45:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:46:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:46:20 - mmengine - INFO - Epoch(train) [146][50/586] lr: 5.000000e-04 eta: 4:29:31 time: 0.453663 data_time: 0.039479 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.882776 loss: 0.000518 2022/09/26 22:46:42 - mmengine - INFO - Epoch(train) [146][100/586] lr: 5.000000e-04 eta: 4:29:10 time: 0.443025 data_time: 0.029938 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.850612 loss: 0.000526 2022/09/26 22:47:04 - mmengine - INFO - Epoch(train) [146][150/586] lr: 5.000000e-04 eta: 4:28:49 time: 0.435155 data_time: 0.030085 memory: 14278 loss_kpt: 0.000533 acc_pose: 0.885269 loss: 0.000533 2022/09/26 22:47:27 - mmengine - INFO - Epoch(train) [146][200/586] lr: 5.000000e-04 eta: 4:28:29 time: 0.459597 data_time: 0.041151 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.892190 loss: 0.000525 2022/09/26 22:47:50 - mmengine - INFO - Epoch(train) [146][250/586] lr: 5.000000e-04 eta: 4:28:08 time: 0.455306 data_time: 0.039787 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.855858 loss: 0.000534 2022/09/26 22:48:12 - mmengine - INFO - Epoch(train) [146][300/586] lr: 5.000000e-04 eta: 4:27:47 time: 0.440387 data_time: 0.032816 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.885495 loss: 0.000534 2022/09/26 22:48:34 - mmengine - INFO - Epoch(train) [146][350/586] lr: 5.000000e-04 eta: 4:27:26 time: 0.440413 data_time: 0.032462 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.898512 loss: 0.000513 2022/09/26 22:48:56 - mmengine - INFO - Epoch(train) [146][400/586] lr: 5.000000e-04 eta: 4:27:05 time: 0.433963 data_time: 0.033929 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.842957 loss: 0.000523 2022/09/26 22:49:18 - mmengine - INFO - Epoch(train) [146][450/586] lr: 5.000000e-04 eta: 4:26:44 time: 0.441023 data_time: 0.030255 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.861414 loss: 0.000510 2022/09/26 22:49:40 - mmengine - INFO - Epoch(train) [146][500/586] lr: 5.000000e-04 eta: 4:26:24 time: 0.440020 data_time: 0.031708 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.857708 loss: 0.000536 2022/09/26 22:50:02 - mmengine - INFO - Epoch(train) [146][550/586] lr: 5.000000e-04 eta: 4:26:03 time: 0.453170 data_time: 0.031868 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.831001 loss: 0.000528 2022/09/26 22:50:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:50:41 - mmengine - INFO - Epoch(train) [147][50/586] lr: 5.000000e-04 eta: 4:25:20 time: 0.451348 data_time: 0.039483 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.878663 loss: 0.000516 2022/09/26 22:51:04 - mmengine - INFO - Epoch(train) [147][100/586] lr: 5.000000e-04 eta: 4:25:00 time: 0.455781 data_time: 0.035230 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.849604 loss: 0.000513 2022/09/26 22:51:26 - mmengine - INFO - Epoch(train) [147][150/586] lr: 5.000000e-04 eta: 4:24:39 time: 0.447486 data_time: 0.038865 memory: 14278 loss_kpt: 0.000542 acc_pose: 0.882979 loss: 0.000542 2022/09/26 22:51:48 - mmengine - INFO - Epoch(train) [147][200/586] lr: 5.000000e-04 eta: 4:24:18 time: 0.442250 data_time: 0.030232 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.859578 loss: 0.000508 2022/09/26 22:52:10 - mmengine - INFO - Epoch(train) [147][250/586] lr: 5.000000e-04 eta: 4:23:57 time: 0.435957 data_time: 0.029308 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.869593 loss: 0.000522 2022/09/26 22:52:32 - mmengine - INFO - Epoch(train) [147][300/586] lr: 5.000000e-04 eta: 4:23:36 time: 0.438822 data_time: 0.029967 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.864026 loss: 0.000524 2022/09/26 22:52:55 - mmengine - INFO - Epoch(train) [147][350/586] lr: 5.000000e-04 eta: 4:23:15 time: 0.452569 data_time: 0.027979 memory: 14278 loss_kpt: 0.000502 acc_pose: 0.917614 loss: 0.000502 2022/09/26 22:53:17 - mmengine - INFO - Epoch(train) [147][400/586] lr: 5.000000e-04 eta: 4:22:55 time: 0.452368 data_time: 0.048548 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.915378 loss: 0.000519 2022/09/26 22:53:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:53:39 - mmengine - INFO - Epoch(train) [147][450/586] lr: 5.000000e-04 eta: 4:22:34 time: 0.435957 data_time: 0.031598 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.812808 loss: 0.000522 2022/09/26 22:54:01 - mmengine - INFO - Epoch(train) [147][500/586] lr: 5.000000e-04 eta: 4:22:12 time: 0.430209 data_time: 0.030013 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.867201 loss: 0.000525 2022/09/26 22:54:23 - mmengine - INFO - Epoch(train) [147][550/586] lr: 5.000000e-04 eta: 4:21:51 time: 0.435000 data_time: 0.030900 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.895241 loss: 0.000541 2022/09/26 22:54:38 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:55:02 - mmengine - INFO - Epoch(train) [148][50/586] lr: 5.000000e-04 eta: 4:21:09 time: 0.473807 data_time: 0.038385 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.891485 loss: 0.000524 2022/09/26 22:55:24 - mmengine - INFO - Epoch(train) [148][100/586] lr: 5.000000e-04 eta: 4:20:48 time: 0.433979 data_time: 0.030351 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.795708 loss: 0.000534 2022/09/26 22:55:45 - mmengine - INFO - Epoch(train) [148][150/586] lr: 5.000000e-04 eta: 4:20:27 time: 0.435858 data_time: 0.030832 memory: 14278 loss_kpt: 0.000533 acc_pose: 0.862742 loss: 0.000533 2022/09/26 22:56:08 - mmengine - INFO - Epoch(train) [148][200/586] lr: 5.000000e-04 eta: 4:20:07 time: 0.450179 data_time: 0.030301 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.819752 loss: 0.000516 2022/09/26 22:56:31 - mmengine - INFO - Epoch(train) [148][250/586] lr: 5.000000e-04 eta: 4:19:46 time: 0.453823 data_time: 0.031466 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.835973 loss: 0.000519 2022/09/26 22:56:54 - mmengine - INFO - Epoch(train) [148][300/586] lr: 5.000000e-04 eta: 4:19:25 time: 0.457546 data_time: 0.038222 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.850182 loss: 0.000526 2022/09/26 22:57:15 - mmengine - INFO - Epoch(train) [148][350/586] lr: 5.000000e-04 eta: 4:19:04 time: 0.439374 data_time: 0.030292 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.883162 loss: 0.000517 2022/09/26 22:57:37 - mmengine - INFO - Epoch(train) [148][400/586] lr: 5.000000e-04 eta: 4:18:43 time: 0.439757 data_time: 0.030668 memory: 14278 loss_kpt: 0.000538 acc_pose: 0.889279 loss: 0.000538 2022/09/26 22:57:59 - mmengine - INFO - Epoch(train) [148][450/586] lr: 5.000000e-04 eta: 4:18:22 time: 0.438952 data_time: 0.030935 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.855287 loss: 0.000521 2022/09/26 22:58:21 - mmengine - INFO - Epoch(train) [148][500/586] lr: 5.000000e-04 eta: 4:18:01 time: 0.435870 data_time: 0.029984 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.884779 loss: 0.000534 2022/09/26 22:58:44 - mmengine - INFO - Epoch(train) [148][550/586] lr: 5.000000e-04 eta: 4:17:41 time: 0.454554 data_time: 0.040245 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.867640 loss: 0.000541 2022/09/26 22:59:08 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 22:59:34 - mmengine - INFO - Epoch(train) [149][50/586] lr: 5.000000e-04 eta: 4:17:00 time: 0.513255 data_time: 0.052302 memory: 14278 loss_kpt: 0.000509 acc_pose: 0.872042 loss: 0.000509 2022/09/26 22:59:57 - mmengine - INFO - Epoch(train) [149][100/586] lr: 5.000000e-04 eta: 4:16:39 time: 0.475069 data_time: 0.033546 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.911626 loss: 0.000532 2022/09/26 23:00:20 - mmengine - INFO - Epoch(train) [149][150/586] lr: 5.000000e-04 eta: 4:16:19 time: 0.441485 data_time: 0.032920 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.864707 loss: 0.000528 2022/09/26 23:00:42 - mmengine - INFO - Epoch(train) [149][200/586] lr: 5.000000e-04 eta: 4:15:58 time: 0.448814 data_time: 0.037270 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.852956 loss: 0.000531 2022/09/26 23:01:04 - mmengine - INFO - Epoch(train) [149][250/586] lr: 5.000000e-04 eta: 4:15:37 time: 0.441174 data_time: 0.030516 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.861867 loss: 0.000526 2022/09/26 23:01:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:01:26 - mmengine - INFO - Epoch(train) [149][300/586] lr: 5.000000e-04 eta: 4:15:16 time: 0.442752 data_time: 0.030610 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.877577 loss: 0.000520 2022/09/26 23:01:48 - mmengine - INFO - Epoch(train) [149][350/586] lr: 5.000000e-04 eta: 4:14:55 time: 0.436400 data_time: 0.031806 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.911239 loss: 0.000531 2022/09/26 23:02:10 - mmengine - INFO - Epoch(train) [149][400/586] lr: 5.000000e-04 eta: 4:14:34 time: 0.438783 data_time: 0.030142 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.852990 loss: 0.000539 2022/09/26 23:02:32 - mmengine - INFO - Epoch(train) [149][450/586] lr: 5.000000e-04 eta: 4:14:13 time: 0.448386 data_time: 0.038043 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.841353 loss: 0.000523 2022/09/26 23:02:55 - mmengine - INFO - Epoch(train) [149][500/586] lr: 5.000000e-04 eta: 4:13:52 time: 0.443248 data_time: 0.032140 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.927026 loss: 0.000517 2022/09/26 23:03:17 - mmengine - INFO - Epoch(train) [149][550/586] lr: 5.000000e-04 eta: 4:13:32 time: 0.453969 data_time: 0.029644 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.870671 loss: 0.000532 2022/09/26 23:03:33 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:03:56 - mmengine - INFO - Epoch(train) [150][50/586] lr: 5.000000e-04 eta: 4:12:50 time: 0.458002 data_time: 0.048072 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.922423 loss: 0.000529 2022/09/26 23:04:18 - mmengine - INFO - Epoch(train) [150][100/586] lr: 5.000000e-04 eta: 4:12:29 time: 0.453301 data_time: 0.031690 memory: 14278 loss_kpt: 0.000538 acc_pose: 0.857273 loss: 0.000538 2022/09/26 23:04:40 - mmengine - INFO - Epoch(train) [150][150/586] lr: 5.000000e-04 eta: 4:12:08 time: 0.435720 data_time: 0.031187 memory: 14278 loss_kpt: 0.000504 acc_pose: 0.815780 loss: 0.000504 2022/09/26 23:05:02 - mmengine - INFO - Epoch(train) [150][200/586] lr: 5.000000e-04 eta: 4:11:47 time: 0.444978 data_time: 0.035264 memory: 14278 loss_kpt: 0.000511 acc_pose: 0.857051 loss: 0.000511 2022/09/26 23:05:24 - mmengine - INFO - Epoch(train) [150][250/586] lr: 5.000000e-04 eta: 4:11:26 time: 0.429606 data_time: 0.031790 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.867239 loss: 0.000512 2022/09/26 23:05:47 - mmengine - INFO - Epoch(train) [150][300/586] lr: 5.000000e-04 eta: 4:11:05 time: 0.461899 data_time: 0.031539 memory: 14278 loss_kpt: 0.000507 acc_pose: 0.908099 loss: 0.000507 2022/09/26 23:06:09 - mmengine - INFO - Epoch(train) [150][350/586] lr: 5.000000e-04 eta: 4:10:44 time: 0.441598 data_time: 0.031962 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.852591 loss: 0.000525 2022/09/26 23:06:32 - mmengine - INFO - Epoch(train) [150][400/586] lr: 5.000000e-04 eta: 4:10:24 time: 0.447910 data_time: 0.029959 memory: 14278 loss_kpt: 0.000509 acc_pose: 0.883846 loss: 0.000509 2022/09/26 23:06:54 - mmengine - INFO - Epoch(train) [150][450/586] lr: 5.000000e-04 eta: 4:10:03 time: 0.441840 data_time: 0.030532 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.887733 loss: 0.000517 2022/09/26 23:07:15 - mmengine - INFO - Epoch(train) [150][500/586] lr: 5.000000e-04 eta: 4:09:42 time: 0.432144 data_time: 0.031118 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.874921 loss: 0.000535 2022/09/26 23:07:37 - mmengine - INFO - Epoch(train) [150][550/586] lr: 5.000000e-04 eta: 4:09:21 time: 0.434002 data_time: 0.035506 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.878632 loss: 0.000528 2022/09/26 23:07:53 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:07:53 - mmengine - INFO - Saving checkpoint at 150 epochs 2022/09/26 23:08:22 - mmengine - INFO - Epoch(val) [150][50/407] eta: 0:02:02 time: 0.342578 data_time: 0.107991 memory: 14278 2022/09/26 23:08:38 - mmengine - INFO - Epoch(val) [150][100/407] eta: 0:01:39 time: 0.324032 data_time: 0.091216 memory: 2124 2022/09/26 23:08:55 - mmengine - INFO - Epoch(val) [150][150/407] eta: 0:01:27 time: 0.339539 data_time: 0.105178 memory: 2124 2022/09/26 23:09:11 - mmengine - INFO - Epoch(val) [150][200/407] eta: 0:01:06 time: 0.319236 data_time: 0.073728 memory: 2124 2022/09/26 23:09:28 - mmengine - INFO - Epoch(val) [150][250/407] eta: 0:00:50 time: 0.324004 data_time: 0.071412 memory: 2124 2022/09/26 23:09:45 - mmengine - INFO - Epoch(val) [150][300/407] eta: 0:00:36 time: 0.343371 data_time: 0.099029 memory: 2124 2022/09/26 23:10:01 - mmengine - INFO - Epoch(val) [150][350/407] eta: 0:00:18 time: 0.330352 data_time: 0.090442 memory: 2124 2022/09/26 23:10:12 - mmengine - INFO - Epoch(val) [150][400/407] eta: 0:00:01 time: 0.205044 data_time: 0.041975 memory: 2124 2022/09/26 23:10:44 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 23:10:56 - mmengine - INFO - Epoch(val) [150][407/407] coco/AP: 0.741823 coco/AP .5: 0.899345 coco/AP .75: 0.809745 coco/AP (M): 0.700251 coco/AP (L): 0.815561 coco/AR: 0.794600 coco/AR .5: 0.938602 coco/AR .75: 0.856895 coco/AR (M): 0.748730 coco/AR (L): 0.860424 2022/09/26 23:11:20 - mmengine - INFO - Epoch(train) [151][50/586] lr: 5.000000e-04 eta: 4:08:39 time: 0.479250 data_time: 0.036946 memory: 14278 loss_kpt: 0.000503 acc_pose: 0.876694 loss: 0.000503 2022/09/26 23:11:42 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:11:42 - mmengine - INFO - Epoch(train) [151][100/586] lr: 5.000000e-04 eta: 4:08:18 time: 0.440494 data_time: 0.032294 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.877139 loss: 0.000535 2022/09/26 23:12:05 - mmengine - INFO - Epoch(train) [151][150/586] lr: 5.000000e-04 eta: 4:07:57 time: 0.456761 data_time: 0.038895 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.911233 loss: 0.000518 2022/09/26 23:12:27 - mmengine - INFO - Epoch(train) [151][200/586] lr: 5.000000e-04 eta: 4:07:36 time: 0.437275 data_time: 0.029472 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.766627 loss: 0.000521 2022/09/26 23:12:49 - mmengine - INFO - Epoch(train) [151][250/586] lr: 5.000000e-04 eta: 4:07:15 time: 0.436888 data_time: 0.034415 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.871198 loss: 0.000528 2022/09/26 23:13:11 - mmengine - INFO - Epoch(train) [151][300/586] lr: 5.000000e-04 eta: 4:06:55 time: 0.450070 data_time: 0.030454 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.842259 loss: 0.000515 2022/09/26 23:13:33 - mmengine - INFO - Epoch(train) [151][350/586] lr: 5.000000e-04 eta: 4:06:34 time: 0.437683 data_time: 0.031470 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.818689 loss: 0.000524 2022/09/26 23:13:55 - mmengine - INFO - Epoch(train) [151][400/586] lr: 5.000000e-04 eta: 4:06:13 time: 0.439444 data_time: 0.038132 memory: 14278 loss_kpt: 0.000511 acc_pose: 0.836293 loss: 0.000511 2022/09/26 23:14:18 - mmengine - INFO - Epoch(train) [151][450/586] lr: 5.000000e-04 eta: 4:05:52 time: 0.456530 data_time: 0.031988 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.826219 loss: 0.000526 2022/09/26 23:14:40 - mmengine - INFO - Epoch(train) [151][500/586] lr: 5.000000e-04 eta: 4:05:31 time: 0.442848 data_time: 0.033611 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.884413 loss: 0.000526 2022/09/26 23:15:03 - mmengine - INFO - Epoch(train) [151][550/586] lr: 5.000000e-04 eta: 4:05:10 time: 0.451581 data_time: 0.031210 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.863523 loss: 0.000518 2022/09/26 23:15:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:15:41 - mmengine - INFO - Epoch(train) [152][50/586] lr: 5.000000e-04 eta: 4:04:29 time: 0.460256 data_time: 0.042546 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.845102 loss: 0.000510 2022/09/26 23:16:04 - mmengine - INFO - Epoch(train) [152][100/586] lr: 5.000000e-04 eta: 4:04:08 time: 0.456935 data_time: 0.036652 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.852092 loss: 0.000530 2022/09/26 23:16:26 - mmengine - INFO - Epoch(train) [152][150/586] lr: 5.000000e-04 eta: 4:03:47 time: 0.440036 data_time: 0.031309 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.890932 loss: 0.000521 2022/09/26 23:16:48 - mmengine - INFO - Epoch(train) [152][200/586] lr: 5.000000e-04 eta: 4:03:26 time: 0.440486 data_time: 0.030416 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.884143 loss: 0.000526 2022/09/26 23:17:10 - mmengine - INFO - Epoch(train) [152][250/586] lr: 5.000000e-04 eta: 4:03:05 time: 0.438872 data_time: 0.033383 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.846160 loss: 0.000525 2022/09/26 23:17:33 - mmengine - INFO - Epoch(train) [152][300/586] lr: 5.000000e-04 eta: 4:02:44 time: 0.450210 data_time: 0.032791 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.875074 loss: 0.000512 2022/09/26 23:17:55 - mmengine - INFO - Epoch(train) [152][350/586] lr: 5.000000e-04 eta: 4:02:23 time: 0.442298 data_time: 0.031107 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.892741 loss: 0.000517 2022/09/26 23:18:17 - mmengine - INFO - Epoch(train) [152][400/586] lr: 5.000000e-04 eta: 4:02:02 time: 0.435803 data_time: 0.030110 memory: 14278 loss_kpt: 0.000546 acc_pose: 0.825856 loss: 0.000546 2022/09/26 23:18:39 - mmengine - INFO - Epoch(train) [152][450/586] lr: 5.000000e-04 eta: 4:01:42 time: 0.447905 data_time: 0.031930 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.876711 loss: 0.000531 2022/09/26 23:19:01 - mmengine - INFO - Epoch(train) [152][500/586] lr: 5.000000e-04 eta: 4:01:21 time: 0.444686 data_time: 0.031353 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.791162 loss: 0.000529 2022/09/26 23:19:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:19:24 - mmengine - INFO - Epoch(train) [152][550/586] lr: 5.000000e-04 eta: 4:01:00 time: 0.448485 data_time: 0.033649 memory: 14278 loss_kpt: 0.000543 acc_pose: 0.920234 loss: 0.000543 2022/09/26 23:19:41 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:20:03 - mmengine - INFO - Epoch(train) [153][50/586] lr: 5.000000e-04 eta: 4:00:18 time: 0.453277 data_time: 0.040519 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.912579 loss: 0.000516 2022/09/26 23:20:25 - mmengine - INFO - Epoch(train) [153][100/586] lr: 5.000000e-04 eta: 3:59:57 time: 0.436727 data_time: 0.032659 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.870473 loss: 0.000527 2022/09/26 23:20:48 - mmengine - INFO - Epoch(train) [153][150/586] lr: 5.000000e-04 eta: 3:59:36 time: 0.454537 data_time: 0.034578 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.855533 loss: 0.000510 2022/09/26 23:21:10 - mmengine - INFO - Epoch(train) [153][200/586] lr: 5.000000e-04 eta: 3:59:15 time: 0.441928 data_time: 0.031784 memory: 14278 loss_kpt: 0.000509 acc_pose: 0.900747 loss: 0.000509 2022/09/26 23:21:32 - mmengine - INFO - Epoch(train) [153][250/586] lr: 5.000000e-04 eta: 3:58:55 time: 0.441948 data_time: 0.036771 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.866508 loss: 0.000525 2022/09/26 23:21:54 - mmengine - INFO - Epoch(train) [153][300/586] lr: 5.000000e-04 eta: 3:58:34 time: 0.439003 data_time: 0.032959 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.859803 loss: 0.000519 2022/09/26 23:22:17 - mmengine - INFO - Epoch(train) [153][350/586] lr: 5.000000e-04 eta: 3:58:13 time: 0.453433 data_time: 0.031141 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.873118 loss: 0.000510 2022/09/26 23:22:39 - mmengine - INFO - Epoch(train) [153][400/586] lr: 5.000000e-04 eta: 3:57:52 time: 0.444447 data_time: 0.032619 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.866774 loss: 0.000524 2022/09/26 23:23:01 - mmengine - INFO - Epoch(train) [153][450/586] lr: 5.000000e-04 eta: 3:57:31 time: 0.440729 data_time: 0.033481 memory: 14278 loss_kpt: 0.000511 acc_pose: 0.920244 loss: 0.000511 2022/09/26 23:23:24 - mmengine - INFO - Epoch(train) [153][500/586] lr: 5.000000e-04 eta: 3:57:10 time: 0.465097 data_time: 0.038287 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.895859 loss: 0.000522 2022/09/26 23:23:47 - mmengine - INFO - Epoch(train) [153][550/586] lr: 5.000000e-04 eta: 3:56:50 time: 0.447610 data_time: 0.034832 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.885819 loss: 0.000523 2022/09/26 23:24:03 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:24:27 - mmengine - INFO - Epoch(train) [154][50/586] lr: 5.000000e-04 eta: 3:56:08 time: 0.478315 data_time: 0.041964 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.901945 loss: 0.000531 2022/09/26 23:24:49 - mmengine - INFO - Epoch(train) [154][100/586] lr: 5.000000e-04 eta: 3:55:47 time: 0.438094 data_time: 0.031827 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.796691 loss: 0.000517 2022/09/26 23:25:12 - mmengine - INFO - Epoch(train) [154][150/586] lr: 5.000000e-04 eta: 3:55:27 time: 0.461746 data_time: 0.034833 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.879615 loss: 0.000532 2022/09/26 23:25:34 - mmengine - INFO - Epoch(train) [154][200/586] lr: 5.000000e-04 eta: 3:55:06 time: 0.451608 data_time: 0.033635 memory: 14278 loss_kpt: 0.000544 acc_pose: 0.877316 loss: 0.000544 2022/09/26 23:25:57 - mmengine - INFO - Epoch(train) [154][250/586] lr: 5.000000e-04 eta: 3:54:45 time: 0.448137 data_time: 0.033279 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.886104 loss: 0.000510 2022/09/26 23:26:20 - mmengine - INFO - Epoch(train) [154][300/586] lr: 5.000000e-04 eta: 3:54:25 time: 0.454691 data_time: 0.033163 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.933012 loss: 0.000526 2022/09/26 23:26:38 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:26:41 - mmengine - INFO - Epoch(train) [154][350/586] lr: 5.000000e-04 eta: 3:54:04 time: 0.434413 data_time: 0.031614 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.869532 loss: 0.000515 2022/09/26 23:27:04 - mmengine - INFO - Epoch(train) [154][400/586] lr: 5.000000e-04 eta: 3:53:43 time: 0.456351 data_time: 0.037834 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.856523 loss: 0.000521 2022/09/26 23:27:26 - mmengine - INFO - Epoch(train) [154][450/586] lr: 5.000000e-04 eta: 3:53:22 time: 0.440524 data_time: 0.032552 memory: 14278 loss_kpt: 0.000504 acc_pose: 0.868938 loss: 0.000504 2022/09/26 23:27:48 - mmengine - INFO - Epoch(train) [154][500/586] lr: 5.000000e-04 eta: 3:53:01 time: 0.439669 data_time: 0.029468 memory: 14278 loss_kpt: 0.000500 acc_pose: 0.893334 loss: 0.000500 2022/09/26 23:28:12 - mmengine - INFO - Epoch(train) [154][550/586] lr: 5.000000e-04 eta: 3:52:40 time: 0.468026 data_time: 0.031104 memory: 14278 loss_kpt: 0.000514 acc_pose: 0.896944 loss: 0.000514 2022/09/26 23:28:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:28:53 - mmengine - INFO - Epoch(train) [155][50/586] lr: 5.000000e-04 eta: 3:52:00 time: 0.507981 data_time: 0.042091 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.840886 loss: 0.000517 2022/09/26 23:29:14 - mmengine - INFO - Epoch(train) [155][100/586] lr: 5.000000e-04 eta: 3:51:39 time: 0.428712 data_time: 0.031507 memory: 14278 loss_kpt: 0.000514 acc_pose: 0.888092 loss: 0.000514 2022/09/26 23:29:37 - mmengine - INFO - Epoch(train) [155][150/586] lr: 5.000000e-04 eta: 3:51:18 time: 0.458652 data_time: 0.036511 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.876132 loss: 0.000534 2022/09/26 23:30:00 - mmengine - INFO - Epoch(train) [155][200/586] lr: 5.000000e-04 eta: 3:50:57 time: 0.455642 data_time: 0.037245 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.857020 loss: 0.000531 2022/09/26 23:30:22 - mmengine - INFO - Epoch(train) [155][250/586] lr: 5.000000e-04 eta: 3:50:36 time: 0.439200 data_time: 0.033558 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.885246 loss: 0.000510 2022/09/26 23:30:44 - mmengine - INFO - Epoch(train) [155][300/586] lr: 5.000000e-04 eta: 3:50:16 time: 0.446318 data_time: 0.036398 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.906390 loss: 0.000512 2022/09/26 23:31:06 - mmengine - INFO - Epoch(train) [155][350/586] lr: 5.000000e-04 eta: 3:49:55 time: 0.441781 data_time: 0.034549 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.903703 loss: 0.000517 2022/09/26 23:31:29 - mmengine - INFO - Epoch(train) [155][400/586] lr: 5.000000e-04 eta: 3:49:34 time: 0.459379 data_time: 0.032820 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.878915 loss: 0.000510 2022/09/26 23:31:53 - mmengine - INFO - Epoch(train) [155][450/586] lr: 5.000000e-04 eta: 3:49:13 time: 0.463410 data_time: 0.031966 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.887253 loss: 0.000518 2022/09/26 23:32:15 - mmengine - INFO - Epoch(train) [155][500/586] lr: 5.000000e-04 eta: 3:48:53 time: 0.451018 data_time: 0.033475 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.855834 loss: 0.000522 2022/09/26 23:32:38 - mmengine - INFO - Epoch(train) [155][550/586] lr: 5.000000e-04 eta: 3:48:32 time: 0.458704 data_time: 0.033171 memory: 14278 loss_kpt: 0.000535 acc_pose: 0.831238 loss: 0.000535 2022/09/26 23:32:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:33:17 - mmengine - INFO - Epoch(train) [156][50/586] lr: 5.000000e-04 eta: 3:47:51 time: 0.466768 data_time: 0.055772 memory: 14278 loss_kpt: 0.000505 acc_pose: 0.818087 loss: 0.000505 2022/09/26 23:33:41 - mmengine - INFO - Epoch(train) [156][100/586] lr: 5.000000e-04 eta: 3:47:30 time: 0.471018 data_time: 0.040494 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.910849 loss: 0.000527 2022/09/26 23:34:03 - mmengine - INFO - Epoch(train) [156][150/586] lr: 5.000000e-04 eta: 3:47:10 time: 0.458150 data_time: 0.032560 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.900607 loss: 0.000534 2022/09/26 23:34:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:34:25 - mmengine - INFO - Epoch(train) [156][200/586] lr: 5.000000e-04 eta: 3:46:49 time: 0.437245 data_time: 0.040245 memory: 14278 loss_kpt: 0.000539 acc_pose: 0.894275 loss: 0.000539 2022/09/26 23:34:47 - mmengine - INFO - Epoch(train) [156][250/586] lr: 5.000000e-04 eta: 3:46:28 time: 0.439526 data_time: 0.030878 memory: 14278 loss_kpt: 0.000514 acc_pose: 0.843027 loss: 0.000514 2022/09/26 23:35:10 - mmengine - INFO - Epoch(train) [156][300/586] lr: 5.000000e-04 eta: 3:46:07 time: 0.454111 data_time: 0.032234 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.873282 loss: 0.000517 2022/09/26 23:35:32 - mmengine - INFO - Epoch(train) [156][350/586] lr: 5.000000e-04 eta: 3:45:46 time: 0.446391 data_time: 0.032524 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.857421 loss: 0.000520 2022/09/26 23:35:55 - mmengine - INFO - Epoch(train) [156][400/586] lr: 5.000000e-04 eta: 3:45:25 time: 0.441254 data_time: 0.035996 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.826307 loss: 0.000536 2022/09/26 23:36:16 - mmengine - INFO - Epoch(train) [156][450/586] lr: 5.000000e-04 eta: 3:45:04 time: 0.435993 data_time: 0.034435 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.813354 loss: 0.000510 2022/09/26 23:36:39 - mmengine - INFO - Epoch(train) [156][500/586] lr: 5.000000e-04 eta: 3:44:43 time: 0.450071 data_time: 0.031891 memory: 14278 loss_kpt: 0.000511 acc_pose: 0.860154 loss: 0.000511 2022/09/26 23:37:01 - mmengine - INFO - Epoch(train) [156][550/586] lr: 5.000000e-04 eta: 3:44:22 time: 0.435808 data_time: 0.034766 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.853036 loss: 0.000512 2022/09/26 23:37:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:37:40 - mmengine - INFO - Epoch(train) [157][50/586] lr: 5.000000e-04 eta: 3:43:41 time: 0.465902 data_time: 0.040582 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.894439 loss: 0.000528 2022/09/26 23:38:02 - mmengine - INFO - Epoch(train) [157][100/586] lr: 5.000000e-04 eta: 3:43:20 time: 0.451644 data_time: 0.032628 memory: 14278 loss_kpt: 0.000531 acc_pose: 0.929380 loss: 0.000531 2022/09/26 23:38:25 - mmengine - INFO - Epoch(train) [157][150/586] lr: 5.000000e-04 eta: 3:42:59 time: 0.449813 data_time: 0.030490 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.922772 loss: 0.000536 2022/09/26 23:38:46 - mmengine - INFO - Epoch(train) [157][200/586] lr: 5.000000e-04 eta: 3:42:38 time: 0.433853 data_time: 0.030298 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.848059 loss: 0.000510 2022/09/26 23:39:08 - mmengine - INFO - Epoch(train) [157][250/586] lr: 5.000000e-04 eta: 3:42:17 time: 0.438995 data_time: 0.030982 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.864027 loss: 0.000515 2022/09/26 23:39:31 - mmengine - INFO - Epoch(train) [157][300/586] lr: 5.000000e-04 eta: 3:41:57 time: 0.450444 data_time: 0.031995 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.893876 loss: 0.000528 2022/09/26 23:39:53 - mmengine - INFO - Epoch(train) [157][350/586] lr: 5.000000e-04 eta: 3:41:36 time: 0.439066 data_time: 0.031727 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.868593 loss: 0.000516 2022/09/26 23:40:16 - mmengine - INFO - Epoch(train) [157][400/586] lr: 5.000000e-04 eta: 3:41:15 time: 0.452088 data_time: 0.035869 memory: 14278 loss_kpt: 0.000507 acc_pose: 0.839737 loss: 0.000507 2022/09/26 23:40:37 - mmengine - INFO - Epoch(train) [157][450/586] lr: 5.000000e-04 eta: 3:40:54 time: 0.426185 data_time: 0.030645 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.854175 loss: 0.000520 2022/09/26 23:40:59 - mmengine - INFO - Epoch(train) [157][500/586] lr: 5.000000e-04 eta: 3:40:32 time: 0.433526 data_time: 0.029284 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.835921 loss: 0.000517 2022/09/26 23:41:21 - mmengine - INFO - Epoch(train) [157][550/586] lr: 5.000000e-04 eta: 3:40:11 time: 0.441090 data_time: 0.030599 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.849628 loss: 0.000508 2022/09/26 23:41:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:41:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:42:00 - mmengine - INFO - Epoch(train) [158][50/586] lr: 5.000000e-04 eta: 3:39:31 time: 0.476902 data_time: 0.046370 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.835473 loss: 0.000518 2022/09/26 23:42:22 - mmengine - INFO - Epoch(train) [158][100/586] lr: 5.000000e-04 eta: 3:39:10 time: 0.438219 data_time: 0.029532 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.883423 loss: 0.000513 2022/09/26 23:42:44 - mmengine - INFO - Epoch(train) [158][150/586] lr: 5.000000e-04 eta: 3:38:49 time: 0.432681 data_time: 0.031518 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.863813 loss: 0.000517 2022/09/26 23:43:07 - mmengine - INFO - Epoch(train) [158][200/586] lr: 5.000000e-04 eta: 3:38:28 time: 0.454885 data_time: 0.032380 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.772124 loss: 0.000516 2022/09/26 23:43:29 - mmengine - INFO - Epoch(train) [158][250/586] lr: 5.000000e-04 eta: 3:38:07 time: 0.447744 data_time: 0.028979 memory: 14278 loss_kpt: 0.000510 acc_pose: 0.831447 loss: 0.000510 2022/09/26 23:43:51 - mmengine - INFO - Epoch(train) [158][300/586] lr: 5.000000e-04 eta: 3:37:46 time: 0.441086 data_time: 0.038904 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.911915 loss: 0.000527 2022/09/26 23:44:14 - mmengine - INFO - Epoch(train) [158][350/586] lr: 5.000000e-04 eta: 3:37:25 time: 0.454129 data_time: 0.033861 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.839669 loss: 0.000525 2022/09/26 23:44:36 - mmengine - INFO - Epoch(train) [158][400/586] lr: 5.000000e-04 eta: 3:37:04 time: 0.438902 data_time: 0.031879 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.899378 loss: 0.000522 2022/09/26 23:44:58 - mmengine - INFO - Epoch(train) [158][450/586] lr: 5.000000e-04 eta: 3:36:43 time: 0.443180 data_time: 0.030536 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.887060 loss: 0.000530 2022/09/26 23:45:21 - mmengine - INFO - Epoch(train) [158][500/586] lr: 5.000000e-04 eta: 3:36:23 time: 0.457241 data_time: 0.031775 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.843303 loss: 0.000520 2022/09/26 23:45:43 - mmengine - INFO - Epoch(train) [158][550/586] lr: 5.000000e-04 eta: 3:36:02 time: 0.443971 data_time: 0.039207 memory: 14278 loss_kpt: 0.000529 acc_pose: 0.884024 loss: 0.000529 2022/09/26 23:45:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:46:21 - mmengine - INFO - Epoch(train) [159][50/586] lr: 5.000000e-04 eta: 3:35:21 time: 0.451972 data_time: 0.038884 memory: 14278 loss_kpt: 0.000499 acc_pose: 0.802000 loss: 0.000499 2022/09/26 23:46:44 - mmengine - INFO - Epoch(train) [159][100/586] lr: 5.000000e-04 eta: 3:35:00 time: 0.449112 data_time: 0.031108 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.874939 loss: 0.000517 2022/09/26 23:47:06 - mmengine - INFO - Epoch(train) [159][150/586] lr: 5.000000e-04 eta: 3:34:39 time: 0.443581 data_time: 0.030621 memory: 14278 loss_kpt: 0.000514 acc_pose: 0.855419 loss: 0.000514 2022/09/26 23:47:28 - mmengine - INFO - Epoch(train) [159][200/586] lr: 5.000000e-04 eta: 3:34:18 time: 0.440884 data_time: 0.033810 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.887981 loss: 0.000520 2022/09/26 23:47:50 - mmengine - INFO - Epoch(train) [159][250/586] lr: 5.000000e-04 eta: 3:33:57 time: 0.439617 data_time: 0.035372 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.883093 loss: 0.000522 2022/09/26 23:48:12 - mmengine - INFO - Epoch(train) [159][300/586] lr: 5.000000e-04 eta: 3:33:36 time: 0.444454 data_time: 0.036083 memory: 14278 loss_kpt: 0.000532 acc_pose: 0.870693 loss: 0.000532 2022/09/26 23:48:35 - mmengine - INFO - Epoch(train) [159][350/586] lr: 5.000000e-04 eta: 3:33:15 time: 0.447162 data_time: 0.030882 memory: 14278 loss_kpt: 0.000541 acc_pose: 0.858947 loss: 0.000541 2022/09/26 23:48:57 - mmengine - INFO - Epoch(train) [159][400/586] lr: 5.000000e-04 eta: 3:32:54 time: 0.455575 data_time: 0.030249 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.831610 loss: 0.000515 2022/09/26 23:49:03 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:49:19 - mmengine - INFO - Epoch(train) [159][450/586] lr: 5.000000e-04 eta: 3:32:33 time: 0.435656 data_time: 0.030313 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.877856 loss: 0.000512 2022/09/26 23:49:41 - mmengine - INFO - Epoch(train) [159][500/586] lr: 5.000000e-04 eta: 3:32:12 time: 0.444405 data_time: 0.037789 memory: 14278 loss_kpt: 0.000530 acc_pose: 0.861777 loss: 0.000530 2022/09/26 23:50:03 - mmengine - INFO - Epoch(train) [159][550/586] lr: 5.000000e-04 eta: 3:31:51 time: 0.439347 data_time: 0.031778 memory: 14278 loss_kpt: 0.000514 acc_pose: 0.842506 loss: 0.000514 2022/09/26 23:50:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:50:42 - mmengine - INFO - Epoch(train) [160][50/586] lr: 5.000000e-04 eta: 3:31:11 time: 0.473273 data_time: 0.038364 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.916705 loss: 0.000527 2022/09/26 23:51:04 - mmengine - INFO - Epoch(train) [160][100/586] lr: 5.000000e-04 eta: 3:30:50 time: 0.436474 data_time: 0.031855 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.873284 loss: 0.000512 2022/09/26 23:51:26 - mmengine - INFO - Epoch(train) [160][150/586] lr: 5.000000e-04 eta: 3:30:29 time: 0.440878 data_time: 0.030027 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.883682 loss: 0.000518 2022/09/26 23:51:49 - mmengine - INFO - Epoch(train) [160][200/586] lr: 5.000000e-04 eta: 3:30:08 time: 0.456795 data_time: 0.039745 memory: 14278 loss_kpt: 0.000506 acc_pose: 0.877445 loss: 0.000506 2022/09/26 23:52:11 - mmengine - INFO - Epoch(train) [160][250/586] lr: 5.000000e-04 eta: 3:29:47 time: 0.439509 data_time: 0.031739 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.853821 loss: 0.000516 2022/09/26 23:52:34 - mmengine - INFO - Epoch(train) [160][300/586] lr: 5.000000e-04 eta: 3:29:26 time: 0.454601 data_time: 0.030792 memory: 14278 loss_kpt: 0.000501 acc_pose: 0.848262 loss: 0.000501 2022/09/26 23:52:56 - mmengine - INFO - Epoch(train) [160][350/586] lr: 5.000000e-04 eta: 3:29:05 time: 0.436755 data_time: 0.029970 memory: 14278 loss_kpt: 0.000538 acc_pose: 0.913306 loss: 0.000538 2022/09/26 23:53:18 - mmengine - INFO - Epoch(train) [160][400/586] lr: 5.000000e-04 eta: 3:28:44 time: 0.451874 data_time: 0.037040 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.850140 loss: 0.000523 2022/09/26 23:53:40 - mmengine - INFO - Epoch(train) [160][450/586] lr: 5.000000e-04 eta: 3:28:23 time: 0.429403 data_time: 0.029414 memory: 14278 loss_kpt: 0.000536 acc_pose: 0.891176 loss: 0.000536 2022/09/26 23:54:02 - mmengine - INFO - Epoch(train) [160][500/586] lr: 5.000000e-04 eta: 3:28:02 time: 0.441338 data_time: 0.033967 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.885582 loss: 0.000523 2022/09/26 23:54:24 - mmengine - INFO - Epoch(train) [160][550/586] lr: 5.000000e-04 eta: 3:27:41 time: 0.446064 data_time: 0.030655 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.912303 loss: 0.000508 2022/09/26 23:54:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:54:40 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/09/26 23:55:05 - mmengine - INFO - Epoch(val) [160][50/407] eta: 0:02:01 time: 0.340774 data_time: 0.096950 memory: 14278 2022/09/26 23:55:23 - mmengine - INFO - Epoch(val) [160][100/407] eta: 0:01:45 time: 0.343783 data_time: 0.108535 memory: 2124 2022/09/26 23:55:39 - mmengine - INFO - Epoch(val) [160][150/407] eta: 0:01:25 time: 0.333391 data_time: 0.094989 memory: 2124 2022/09/26 23:55:56 - mmengine - INFO - Epoch(val) [160][200/407] eta: 0:01:09 time: 0.337621 data_time: 0.083447 memory: 2124 2022/09/26 23:56:14 - mmengine - INFO - Epoch(val) [160][250/407] eta: 0:00:55 time: 0.350351 data_time: 0.103702 memory: 2124 2022/09/26 23:56:30 - mmengine - INFO - Epoch(val) [160][300/407] eta: 0:00:34 time: 0.321512 data_time: 0.066971 memory: 2124 2022/09/26 23:56:47 - mmengine - INFO - Epoch(val) [160][350/407] eta: 0:00:20 time: 0.352859 data_time: 0.104469 memory: 2124 2022/09/26 23:56:58 - mmengine - INFO - Epoch(val) [160][400/407] eta: 0:00:01 time: 0.213781 data_time: 0.049918 memory: 2124 2022/09/26 23:57:30 - mmengine - INFO - Evaluating CocoMetric... 2022/09/26 23:57:43 - mmengine - INFO - Epoch(val) [160][407/407] coco/AP: 0.742375 coco/AP .5: 0.900242 coco/AP .75: 0.809667 coco/AP (M): 0.702006 coco/AP (L): 0.813345 coco/AR: 0.795072 coco/AR .5: 0.938759 coco/AR .75: 0.854691 coco/AR (M): 0.750505 coco/AR (L): 0.859457 2022/09/26 23:58:06 - mmengine - INFO - Epoch(train) [161][50/586] lr: 5.000000e-04 eta: 3:27:01 time: 0.470447 data_time: 0.039739 memory: 14278 loss_kpt: 0.000506 acc_pose: 0.873046 loss: 0.000506 2022/09/26 23:58:29 - mmengine - INFO - Epoch(train) [161][100/586] lr: 5.000000e-04 eta: 3:26:40 time: 0.441538 data_time: 0.030660 memory: 14278 loss_kpt: 0.000496 acc_pose: 0.867198 loss: 0.000496 2022/09/26 23:58:51 - mmengine - INFO - Epoch(train) [161][150/586] lr: 5.000000e-04 eta: 3:26:19 time: 0.441560 data_time: 0.031679 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.879828 loss: 0.000525 2022/09/26 23:59:14 - mmengine - INFO - Epoch(train) [161][200/586] lr: 5.000000e-04 eta: 3:25:58 time: 0.460327 data_time: 0.028501 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.896122 loss: 0.000515 2022/09/26 23:59:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/26 23:59:36 - mmengine - INFO - Epoch(train) [161][250/586] lr: 5.000000e-04 eta: 3:25:37 time: 0.453253 data_time: 0.031305 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.815616 loss: 0.000523 2022/09/26 23:59:58 - mmengine - INFO - Epoch(train) [161][300/586] lr: 5.000000e-04 eta: 3:25:16 time: 0.438870 data_time: 0.033036 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.822386 loss: 0.000521 2022/09/27 00:00:25 - mmengine - INFO - Epoch(train) [161][350/586] lr: 5.000000e-04 eta: 3:24:57 time: 0.528004 data_time: 0.036552 memory: 14278 loss_kpt: 0.000504 acc_pose: 0.854330 loss: 0.000504 2022/09/27 00:00:47 - mmengine - INFO - Epoch(train) [161][400/586] lr: 5.000000e-04 eta: 3:24:36 time: 0.443410 data_time: 0.031594 memory: 14278 loss_kpt: 0.000502 acc_pose: 0.863258 loss: 0.000502 2022/09/27 00:01:09 - mmengine - INFO - Epoch(train) [161][450/586] lr: 5.000000e-04 eta: 3:24:15 time: 0.439662 data_time: 0.031055 memory: 14278 loss_kpt: 0.000511 acc_pose: 0.870099 loss: 0.000511 2022/09/27 00:01:31 - mmengine - INFO - Epoch(train) [161][500/586] lr: 5.000000e-04 eta: 3:23:54 time: 0.449276 data_time: 0.030600 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.898409 loss: 0.000517 2022/09/27 00:01:53 - mmengine - INFO - Epoch(train) [161][550/586] lr: 5.000000e-04 eta: 3:23:33 time: 0.437174 data_time: 0.031576 memory: 14278 loss_kpt: 0.000503 acc_pose: 0.918172 loss: 0.000503 2022/09/27 00:02:09 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:02:31 - mmengine - INFO - Epoch(train) [162][50/586] lr: 5.000000e-04 eta: 3:22:52 time: 0.451894 data_time: 0.038478 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.857182 loss: 0.000513 2022/09/27 00:02:54 - mmengine - INFO - Epoch(train) [162][100/586] lr: 5.000000e-04 eta: 3:22:31 time: 0.456046 data_time: 0.031414 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.887408 loss: 0.000508 2022/09/27 00:03:17 - mmengine - INFO - Epoch(train) [162][150/586] lr: 5.000000e-04 eta: 3:22:10 time: 0.462874 data_time: 0.030357 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.873762 loss: 0.000513 2022/09/27 00:03:44 - mmengine - INFO - Epoch(train) [162][200/586] lr: 5.000000e-04 eta: 3:21:51 time: 0.527260 data_time: 0.031079 memory: 14278 loss_kpt: 0.000504 acc_pose: 0.838343 loss: 0.000504 2022/09/27 00:04:06 - mmengine - INFO - Epoch(train) [162][250/586] lr: 5.000000e-04 eta: 3:21:30 time: 0.449958 data_time: 0.031292 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.888706 loss: 0.000513 2022/09/27 00:04:28 - mmengine - INFO - Epoch(train) [162][300/586] lr: 5.000000e-04 eta: 3:21:09 time: 0.442575 data_time: 0.033020 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.876841 loss: 0.000524 2022/09/27 00:04:52 - mmengine - INFO - Epoch(train) [162][350/586] lr: 5.000000e-04 eta: 3:20:48 time: 0.462115 data_time: 0.036521 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.849980 loss: 0.000508 2022/09/27 00:05:14 - mmengine - INFO - Epoch(train) [162][400/586] lr: 5.000000e-04 eta: 3:20:27 time: 0.437362 data_time: 0.030894 memory: 14278 loss_kpt: 0.000497 acc_pose: 0.914061 loss: 0.000497 2022/09/27 00:05:36 - mmengine - INFO - Epoch(train) [162][450/586] lr: 5.000000e-04 eta: 3:20:06 time: 0.447084 data_time: 0.032551 memory: 14278 loss_kpt: 0.000502 acc_pose: 0.887383 loss: 0.000502 2022/09/27 00:05:57 - mmengine - INFO - Epoch(train) [162][500/586] lr: 5.000000e-04 eta: 3:19:45 time: 0.429132 data_time: 0.032249 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.862441 loss: 0.000515 2022/09/27 00:06:20 - mmengine - INFO - Epoch(train) [162][550/586] lr: 5.000000e-04 eta: 3:19:24 time: 0.442872 data_time: 0.030490 memory: 14278 loss_kpt: 0.000527 acc_pose: 0.868904 loss: 0.000527 2022/09/27 00:06:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:06:59 - mmengine - INFO - Epoch(train) [163][50/586] lr: 5.000000e-04 eta: 3:18:44 time: 0.464496 data_time: 0.040278 memory: 14278 loss_kpt: 0.000499 acc_pose: 0.863988 loss: 0.000499 2022/09/27 00:07:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:07:21 - mmengine - INFO - Epoch(train) [163][100/586] lr: 5.000000e-04 eta: 3:18:23 time: 0.437562 data_time: 0.032172 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.890761 loss: 0.000515 2022/09/27 00:07:42 - mmengine - INFO - Epoch(train) [163][150/586] lr: 5.000000e-04 eta: 3:18:02 time: 0.437299 data_time: 0.029937 memory: 14278 loss_kpt: 0.000509 acc_pose: 0.883791 loss: 0.000509 2022/09/27 00:08:04 - mmengine - INFO - Epoch(train) [163][200/586] lr: 5.000000e-04 eta: 3:17:41 time: 0.437840 data_time: 0.032573 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.795069 loss: 0.000519 2022/09/27 00:08:27 - mmengine - INFO - Epoch(train) [163][250/586] lr: 5.000000e-04 eta: 3:17:20 time: 0.458467 data_time: 0.031487 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.904811 loss: 0.000513 2022/09/27 00:08:50 - mmengine - INFO - Epoch(train) [163][300/586] lr: 5.000000e-04 eta: 3:16:59 time: 0.444448 data_time: 0.033038 memory: 14278 loss_kpt: 0.000501 acc_pose: 0.904681 loss: 0.000501 2022/09/27 00:09:12 - mmengine - INFO - Epoch(train) [163][350/586] lr: 5.000000e-04 eta: 3:16:38 time: 0.442170 data_time: 0.035156 memory: 14278 loss_kpt: 0.000503 acc_pose: 0.889497 loss: 0.000503 2022/09/27 00:09:33 - mmengine - INFO - Epoch(train) [163][400/586] lr: 5.000000e-04 eta: 3:16:17 time: 0.431824 data_time: 0.037496 memory: 14278 loss_kpt: 0.000497 acc_pose: 0.906561 loss: 0.000497 2022/09/27 00:09:56 - mmengine - INFO - Epoch(train) [163][450/586] lr: 5.000000e-04 eta: 3:15:56 time: 0.445039 data_time: 0.034466 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.869728 loss: 0.000520 2022/09/27 00:10:18 - mmengine - INFO - Epoch(train) [163][500/586] lr: 5.000000e-04 eta: 3:15:35 time: 0.445744 data_time: 0.033061 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.919870 loss: 0.000519 2022/09/27 00:10:41 - mmengine - INFO - Epoch(train) [163][550/586] lr: 5.000000e-04 eta: 3:15:14 time: 0.454827 data_time: 0.036863 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.836285 loss: 0.000525 2022/09/27 00:10:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:11:21 - mmengine - INFO - Epoch(train) [164][50/586] lr: 5.000000e-04 eta: 3:14:34 time: 0.467840 data_time: 0.038032 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.873294 loss: 0.000512 2022/09/27 00:11:43 - mmengine - INFO - Epoch(train) [164][100/586] lr: 5.000000e-04 eta: 3:14:13 time: 0.440541 data_time: 0.035092 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.892615 loss: 0.000516 2022/09/27 00:12:05 - mmengine - INFO - Epoch(train) [164][150/586] lr: 5.000000e-04 eta: 3:13:52 time: 0.455356 data_time: 0.030691 memory: 14278 loss_kpt: 0.000503 acc_pose: 0.901371 loss: 0.000503 2022/09/27 00:12:28 - mmengine - INFO - Epoch(train) [164][200/586] lr: 5.000000e-04 eta: 3:13:31 time: 0.458668 data_time: 0.031126 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.888298 loss: 0.000518 2022/09/27 00:12:50 - mmengine - INFO - Epoch(train) [164][250/586] lr: 5.000000e-04 eta: 3:13:10 time: 0.437139 data_time: 0.029829 memory: 14278 loss_kpt: 0.000509 acc_pose: 0.859149 loss: 0.000509 2022/09/27 00:13:12 - mmengine - INFO - Epoch(train) [164][300/586] lr: 5.000000e-04 eta: 3:12:49 time: 0.440986 data_time: 0.042210 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.874431 loss: 0.000516 2022/09/27 00:13:35 - mmengine - INFO - Epoch(train) [164][350/586] lr: 5.000000e-04 eta: 3:12:28 time: 0.449181 data_time: 0.030561 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.851682 loss: 0.000508 2022/09/27 00:13:57 - mmengine - INFO - Epoch(train) [164][400/586] lr: 5.000000e-04 eta: 3:12:07 time: 0.447375 data_time: 0.033240 memory: 14278 loss_kpt: 0.000502 acc_pose: 0.875568 loss: 0.000502 2022/09/27 00:14:20 - mmengine - INFO - Epoch(train) [164][450/586] lr: 5.000000e-04 eta: 3:11:46 time: 0.447702 data_time: 0.032359 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.870300 loss: 0.000525 2022/09/27 00:14:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:14:42 - mmengine - INFO - Epoch(train) [164][500/586] lr: 5.000000e-04 eta: 3:11:26 time: 0.450885 data_time: 0.029009 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.860760 loss: 0.000513 2022/09/27 00:15:05 - mmengine - INFO - Epoch(train) [164][550/586] lr: 5.000000e-04 eta: 3:11:05 time: 0.454782 data_time: 0.030383 memory: 14278 loss_kpt: 0.000506 acc_pose: 0.858067 loss: 0.000506 2022/09/27 00:15:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:15:43 - mmengine - INFO - Epoch(train) [165][50/586] lr: 5.000000e-04 eta: 3:10:24 time: 0.454878 data_time: 0.042666 memory: 14278 loss_kpt: 0.000507 acc_pose: 0.851162 loss: 0.000507 2022/09/27 00:16:06 - mmengine - INFO - Epoch(train) [165][100/586] lr: 5.000000e-04 eta: 3:10:04 time: 0.461918 data_time: 0.033374 memory: 14278 loss_kpt: 0.000523 acc_pose: 0.907751 loss: 0.000523 2022/09/27 00:16:29 - mmengine - INFO - Epoch(train) [165][150/586] lr: 5.000000e-04 eta: 3:09:43 time: 0.447827 data_time: 0.030069 memory: 14278 loss_kpt: 0.000525 acc_pose: 0.870702 loss: 0.000525 2022/09/27 00:16:51 - mmengine - INFO - Epoch(train) [165][200/586] lr: 5.000000e-04 eta: 3:09:22 time: 0.439208 data_time: 0.029736 memory: 14278 loss_kpt: 0.000528 acc_pose: 0.905335 loss: 0.000528 2022/09/27 00:17:13 - mmengine - INFO - Epoch(train) [165][250/586] lr: 5.000000e-04 eta: 3:09:01 time: 0.449410 data_time: 0.031224 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.776386 loss: 0.000513 2022/09/27 00:17:35 - mmengine - INFO - Epoch(train) [165][300/586] lr: 5.000000e-04 eta: 3:08:40 time: 0.437632 data_time: 0.032299 memory: 14278 loss_kpt: 0.000491 acc_pose: 0.906095 loss: 0.000491 2022/09/27 00:17:59 - mmengine - INFO - Epoch(train) [165][350/586] lr: 5.000000e-04 eta: 3:08:19 time: 0.471136 data_time: 0.040612 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.900782 loss: 0.000508 2022/09/27 00:18:21 - mmengine - INFO - Epoch(train) [165][400/586] lr: 5.000000e-04 eta: 3:07:58 time: 0.443479 data_time: 0.029335 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.911801 loss: 0.000521 2022/09/27 00:18:43 - mmengine - INFO - Epoch(train) [165][450/586] lr: 5.000000e-04 eta: 3:07:37 time: 0.437135 data_time: 0.034485 memory: 14278 loss_kpt: 0.000521 acc_pose: 0.855697 loss: 0.000521 2022/09/27 00:19:05 - mmengine - INFO - Epoch(train) [165][500/586] lr: 5.000000e-04 eta: 3:07:16 time: 0.450868 data_time: 0.030703 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.834565 loss: 0.000520 2022/09/27 00:19:28 - mmengine - INFO - Epoch(train) [165][550/586] lr: 5.000000e-04 eta: 3:06:55 time: 0.451446 data_time: 0.030210 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.868337 loss: 0.000519 2022/09/27 00:19:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:20:08 - mmengine - INFO - Epoch(train) [166][50/586] lr: 5.000000e-04 eta: 3:06:15 time: 0.459465 data_time: 0.040049 memory: 14278 loss_kpt: 0.000503 acc_pose: 0.829889 loss: 0.000503 2022/09/27 00:20:30 - mmengine - INFO - Epoch(train) [166][100/586] lr: 5.000000e-04 eta: 3:05:54 time: 0.437866 data_time: 0.029764 memory: 14278 loss_kpt: 0.000498 acc_pose: 0.915810 loss: 0.000498 2022/09/27 00:20:52 - mmengine - INFO - Epoch(train) [166][150/586] lr: 5.000000e-04 eta: 3:05:33 time: 0.443230 data_time: 0.031132 memory: 14278 loss_kpt: 0.000509 acc_pose: 0.873821 loss: 0.000509 2022/09/27 00:21:14 - mmengine - INFO - Epoch(train) [166][200/586] lr: 5.000000e-04 eta: 3:05:12 time: 0.438775 data_time: 0.030369 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.904801 loss: 0.000517 2022/09/27 00:21:36 - mmengine - INFO - Epoch(train) [166][250/586] lr: 5.000000e-04 eta: 3:04:51 time: 0.444530 data_time: 0.038491 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.906295 loss: 0.000508 2022/09/27 00:21:59 - mmengine - INFO - Epoch(train) [166][300/586] lr: 5.000000e-04 eta: 3:04:30 time: 0.451598 data_time: 0.031642 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.860072 loss: 0.000522 2022/09/27 00:22:03 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:22:21 - mmengine - INFO - Epoch(train) [166][350/586] lr: 5.000000e-04 eta: 3:04:09 time: 0.440673 data_time: 0.030723 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.863642 loss: 0.000519 2022/09/27 00:22:43 - mmengine - INFO - Epoch(train) [166][400/586] lr: 5.000000e-04 eta: 3:03:48 time: 0.437883 data_time: 0.033022 memory: 14278 loss_kpt: 0.000514 acc_pose: 0.890642 loss: 0.000514 2022/09/27 00:23:05 - mmengine - INFO - Epoch(train) [166][450/586] lr: 5.000000e-04 eta: 3:03:27 time: 0.444772 data_time: 0.032858 memory: 14278 loss_kpt: 0.000511 acc_pose: 0.852878 loss: 0.000511 2022/09/27 00:23:27 - mmengine - INFO - Epoch(train) [166][500/586] lr: 5.000000e-04 eta: 3:03:06 time: 0.449981 data_time: 0.033923 memory: 14278 loss_kpt: 0.000522 acc_pose: 0.786156 loss: 0.000522 2022/09/27 00:23:50 - mmengine - INFO - Epoch(train) [166][550/586] lr: 5.000000e-04 eta: 3:02:45 time: 0.446875 data_time: 0.030115 memory: 14278 loss_kpt: 0.000502 acc_pose: 0.845345 loss: 0.000502 2022/09/27 00:24:06 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:24:29 - mmengine - INFO - Epoch(train) [167][50/586] lr: 5.000000e-04 eta: 3:02:05 time: 0.456790 data_time: 0.038891 memory: 14278 loss_kpt: 0.000505 acc_pose: 0.897325 loss: 0.000505 2022/09/27 00:24:51 - mmengine - INFO - Epoch(train) [167][100/586] lr: 5.000000e-04 eta: 3:01:44 time: 0.442831 data_time: 0.030749 memory: 14278 loss_kpt: 0.000495 acc_pose: 0.825075 loss: 0.000495 2022/09/27 00:25:14 - mmengine - INFO - Epoch(train) [167][150/586] lr: 5.000000e-04 eta: 3:01:23 time: 0.446205 data_time: 0.035689 memory: 14278 loss_kpt: 0.000497 acc_pose: 0.899385 loss: 0.000497 2022/09/27 00:25:37 - mmengine - INFO - Epoch(train) [167][200/586] lr: 5.000000e-04 eta: 3:01:03 time: 0.459430 data_time: 0.032100 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.795150 loss: 0.000519 2022/09/27 00:25:59 - mmengine - INFO - Epoch(train) [167][250/586] lr: 5.000000e-04 eta: 3:00:41 time: 0.437329 data_time: 0.030980 memory: 14278 loss_kpt: 0.000488 acc_pose: 0.882792 loss: 0.000488 2022/09/27 00:26:20 - mmengine - INFO - Epoch(train) [167][300/586] lr: 5.000000e-04 eta: 3:00:20 time: 0.430766 data_time: 0.028219 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.878476 loss: 0.000526 2022/09/27 00:26:42 - mmengine - INFO - Epoch(train) [167][350/586] lr: 5.000000e-04 eta: 2:59:59 time: 0.439415 data_time: 0.030889 memory: 14278 loss_kpt: 0.000526 acc_pose: 0.901399 loss: 0.000526 2022/09/27 00:27:06 - mmengine - INFO - Epoch(train) [167][400/586] lr: 5.000000e-04 eta: 2:59:39 time: 0.471445 data_time: 0.031691 memory: 14278 loss_kpt: 0.000498 acc_pose: 0.924104 loss: 0.000498 2022/09/27 00:27:29 - mmengine - INFO - Epoch(train) [167][450/586] lr: 5.000000e-04 eta: 2:59:18 time: 0.471680 data_time: 0.032656 memory: 14278 loss_kpt: 0.000514 acc_pose: 0.895238 loss: 0.000514 2022/09/27 00:27:53 - mmengine - INFO - Epoch(train) [167][500/586] lr: 5.000000e-04 eta: 2:58:57 time: 0.467127 data_time: 0.031735 memory: 14278 loss_kpt: 0.000513 acc_pose: 0.829446 loss: 0.000513 2022/09/27 00:28:16 - mmengine - INFO - Epoch(train) [167][550/586] lr: 5.000000e-04 eta: 2:58:37 time: 0.469925 data_time: 0.033614 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.901853 loss: 0.000518 2022/09/27 00:28:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:28:55 - mmengine - INFO - Epoch(train) [168][50/586] lr: 5.000000e-04 eta: 2:57:57 time: 0.462311 data_time: 0.044081 memory: 14278 loss_kpt: 0.000507 acc_pose: 0.886894 loss: 0.000507 2022/09/27 00:29:18 - mmengine - INFO - Epoch(train) [168][100/586] lr: 5.000000e-04 eta: 2:57:36 time: 0.464878 data_time: 0.031757 memory: 14278 loss_kpt: 0.000517 acc_pose: 0.912430 loss: 0.000517 2022/09/27 00:29:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:29:42 - mmengine - INFO - Epoch(train) [168][150/586] lr: 5.000000e-04 eta: 2:57:15 time: 0.463839 data_time: 0.035063 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.868290 loss: 0.000520 2022/09/27 00:30:03 - mmengine - INFO - Epoch(train) [168][200/586] lr: 5.000000e-04 eta: 2:56:54 time: 0.433909 data_time: 0.031036 memory: 14278 loss_kpt: 0.000509 acc_pose: 0.914995 loss: 0.000509 2022/09/27 00:30:26 - mmengine - INFO - Epoch(train) [168][250/586] lr: 5.000000e-04 eta: 2:56:33 time: 0.445179 data_time: 0.031790 memory: 14278 loss_kpt: 0.000509 acc_pose: 0.900376 loss: 0.000509 2022/09/27 00:30:48 - mmengine - INFO - Epoch(train) [168][300/586] lr: 5.000000e-04 eta: 2:56:12 time: 0.444419 data_time: 0.037325 memory: 14278 loss_kpt: 0.000505 acc_pose: 0.865057 loss: 0.000505 2022/09/27 00:31:10 - mmengine - INFO - Epoch(train) [168][350/586] lr: 5.000000e-04 eta: 2:55:51 time: 0.445404 data_time: 0.030133 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.895799 loss: 0.000520 2022/09/27 00:31:32 - mmengine - INFO - Epoch(train) [168][400/586] lr: 5.000000e-04 eta: 2:55:30 time: 0.438341 data_time: 0.032537 memory: 14278 loss_kpt: 0.000518 acc_pose: 0.892470 loss: 0.000518 2022/09/27 00:31:55 - mmengine - INFO - Epoch(train) [168][450/586] lr: 5.000000e-04 eta: 2:55:09 time: 0.453942 data_time: 0.032092 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.876852 loss: 0.000515 2022/09/27 00:32:17 - mmengine - INFO - Epoch(train) [168][500/586] lr: 5.000000e-04 eta: 2:54:48 time: 0.434307 data_time: 0.031512 memory: 14278 loss_kpt: 0.000505 acc_pose: 0.902584 loss: 0.000505 2022/09/27 00:32:39 - mmengine - INFO - Epoch(train) [168][550/586] lr: 5.000000e-04 eta: 2:54:27 time: 0.439920 data_time: 0.036512 memory: 14278 loss_kpt: 0.000524 acc_pose: 0.883555 loss: 0.000524 2022/09/27 00:32:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:33:18 - mmengine - INFO - Epoch(train) [169][50/586] lr: 5.000000e-04 eta: 2:53:47 time: 0.457039 data_time: 0.037520 memory: 14278 loss_kpt: 0.000514 acc_pose: 0.867149 loss: 0.000514 2022/09/27 00:33:39 - mmengine - INFO - Epoch(train) [169][100/586] lr: 5.000000e-04 eta: 2:53:26 time: 0.436964 data_time: 0.033733 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.903602 loss: 0.000512 2022/09/27 00:34:02 - mmengine - INFO - Epoch(train) [169][150/586] lr: 5.000000e-04 eta: 2:53:05 time: 0.446707 data_time: 0.033861 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.914236 loss: 0.000515 2022/09/27 00:34:24 - mmengine - INFO - Epoch(train) [169][200/586] lr: 5.000000e-04 eta: 2:52:44 time: 0.439932 data_time: 0.031076 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.855180 loss: 0.000519 2022/09/27 00:34:46 - mmengine - INFO - Epoch(train) [169][250/586] lr: 5.000000e-04 eta: 2:52:23 time: 0.446210 data_time: 0.029820 memory: 14278 loss_kpt: 0.000501 acc_pose: 0.892548 loss: 0.000501 2022/09/27 00:35:08 - mmengine - INFO - Epoch(train) [169][300/586] lr: 5.000000e-04 eta: 2:52:02 time: 0.444230 data_time: 0.031412 memory: 14278 loss_kpt: 0.000505 acc_pose: 0.876447 loss: 0.000505 2022/09/27 00:35:30 - mmengine - INFO - Epoch(train) [169][350/586] lr: 5.000000e-04 eta: 2:51:41 time: 0.437843 data_time: 0.029663 memory: 14278 loss_kpt: 0.000490 acc_pose: 0.824039 loss: 0.000490 2022/09/27 00:35:52 - mmengine - INFO - Epoch(train) [169][400/586] lr: 5.000000e-04 eta: 2:51:20 time: 0.440744 data_time: 0.032101 memory: 14278 loss_kpt: 0.000511 acc_pose: 0.873309 loss: 0.000511 2022/09/27 00:36:14 - mmengine - INFO - Epoch(train) [169][450/586] lr: 5.000000e-04 eta: 2:50:59 time: 0.431931 data_time: 0.030730 memory: 14278 loss_kpt: 0.000519 acc_pose: 0.858929 loss: 0.000519 2022/09/27 00:36:37 - mmengine - INFO - Epoch(train) [169][500/586] lr: 5.000000e-04 eta: 2:50:38 time: 0.452572 data_time: 0.036662 memory: 14278 loss_kpt: 0.000520 acc_pose: 0.820041 loss: 0.000520 2022/09/27 00:36:59 - mmengine - INFO - Epoch(train) [169][550/586] lr: 5.000000e-04 eta: 2:50:17 time: 0.445866 data_time: 0.029785 memory: 14278 loss_kpt: 0.000498 acc_pose: 0.843952 loss: 0.000498 2022/09/27 00:37:00 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:37:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:37:37 - mmengine - INFO - Epoch(train) [170][50/586] lr: 5.000000e-04 eta: 2:49:37 time: 0.450744 data_time: 0.039201 memory: 14278 loss_kpt: 0.000506 acc_pose: 0.849658 loss: 0.000506 2022/09/27 00:37:59 - mmengine - INFO - Epoch(train) [170][100/586] lr: 5.000000e-04 eta: 2:49:16 time: 0.437664 data_time: 0.032721 memory: 14278 loss_kpt: 0.000487 acc_pose: 0.840923 loss: 0.000487 2022/09/27 00:38:21 - mmengine - INFO - Epoch(train) [170][150/586] lr: 5.000000e-04 eta: 2:48:55 time: 0.445922 data_time: 0.037547 memory: 14278 loss_kpt: 0.000508 acc_pose: 0.882180 loss: 0.000508 2022/09/27 00:38:44 - mmengine - INFO - Epoch(train) [170][200/586] lr: 5.000000e-04 eta: 2:48:34 time: 0.447030 data_time: 0.029702 memory: 14278 loss_kpt: 0.000516 acc_pose: 0.801166 loss: 0.000516 2022/09/27 00:39:06 - mmengine - INFO - Epoch(train) [170][250/586] lr: 5.000000e-04 eta: 2:48:13 time: 0.451586 data_time: 0.030206 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.886236 loss: 0.000512 2022/09/27 00:39:29 - mmengine - INFO - Epoch(train) [170][300/586] lr: 5.000000e-04 eta: 2:47:52 time: 0.452597 data_time: 0.033338 memory: 14278 loss_kpt: 0.000505 acc_pose: 0.899852 loss: 0.000505 2022/09/27 00:39:51 - mmengine - INFO - Epoch(train) [170][350/586] lr: 5.000000e-04 eta: 2:47:31 time: 0.446510 data_time: 0.032954 memory: 14278 loss_kpt: 0.000497 acc_pose: 0.840691 loss: 0.000497 2022/09/27 00:40:14 - mmengine - INFO - Epoch(train) [170][400/586] lr: 5.000000e-04 eta: 2:47:11 time: 0.456887 data_time: 0.037469 memory: 14278 loss_kpt: 0.000512 acc_pose: 0.886548 loss: 0.000512 2022/09/27 00:40:36 - mmengine - INFO - Epoch(train) [170][450/586] lr: 5.000000e-04 eta: 2:46:50 time: 0.441761 data_time: 0.029573 memory: 14278 loss_kpt: 0.000515 acc_pose: 0.794740 loss: 0.000515 2022/09/27 00:40:58 - mmengine - INFO - Epoch(train) [170][500/586] lr: 5.000000e-04 eta: 2:46:29 time: 0.436575 data_time: 0.030664 memory: 14278 loss_kpt: 0.000534 acc_pose: 0.828452 loss: 0.000534 2022/09/27 00:41:21 - mmengine - INFO - Epoch(train) [170][550/586] lr: 5.000000e-04 eta: 2:46:08 time: 0.462707 data_time: 0.031602 memory: 14278 loss_kpt: 0.000538 acc_pose: 0.828537 loss: 0.000538 2022/09/27 00:41:38 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:41:38 - mmengine - INFO - Saving checkpoint at 170 epochs 2022/09/27 00:42:04 - mmengine - INFO - Epoch(val) [170][50/407] eta: 0:02:03 time: 0.345047 data_time: 0.099724 memory: 14278 2022/09/27 00:42:20 - mmengine - INFO - Epoch(val) [170][100/407] eta: 0:01:38 time: 0.322057 data_time: 0.089032 memory: 2124 2022/09/27 00:42:38 - mmengine - INFO - Epoch(val) [170][150/407] eta: 0:01:29 time: 0.346507 data_time: 0.112534 memory: 2124 2022/09/27 00:42:55 - mmengine - INFO - Epoch(val) [170][200/407] eta: 0:01:10 time: 0.340465 data_time: 0.094440 memory: 2124 2022/09/27 00:43:11 - mmengine - INFO - Epoch(val) [170][250/407] eta: 0:00:50 time: 0.322782 data_time: 0.071815 memory: 2124 2022/09/27 00:43:28 - mmengine - INFO - Epoch(val) [170][300/407] eta: 0:00:37 time: 0.345902 data_time: 0.106146 memory: 2124 2022/09/27 00:43:45 - mmengine - INFO - Epoch(val) [170][350/407] eta: 0:00:19 time: 0.345333 data_time: 0.107205 memory: 2124 2022/09/27 00:43:56 - mmengine - INFO - Epoch(val) [170][400/407] eta: 0:00:01 time: 0.209183 data_time: 0.036286 memory: 2124 2022/09/27 00:44:28 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 00:44:41 - mmengine - INFO - Epoch(val) [170][407/407] coco/AP: 0.739918 coco/AP .5: 0.901002 coco/AP .75: 0.809560 coco/AP (M): 0.700149 coco/AP (L): 0.811021 coco/AR: 0.791766 coco/AR .5: 0.938917 coco/AR .75: 0.853904 coco/AR (M): 0.746326 coco/AR (L): 0.857637 2022/09/27 00:45:04 - mmengine - INFO - Epoch(train) [171][50/586] lr: 5.000000e-05 eta: 2:45:28 time: 0.466223 data_time: 0.039118 memory: 14278 loss_kpt: 0.000511 acc_pose: 0.893018 loss: 0.000511 2022/09/27 00:45:27 - mmengine - INFO - Epoch(train) [171][100/586] lr: 5.000000e-05 eta: 2:45:07 time: 0.463990 data_time: 0.031216 memory: 14278 loss_kpt: 0.000506 acc_pose: 0.839186 loss: 0.000506 2022/09/27 00:45:50 - mmengine - INFO - Epoch(train) [171][150/586] lr: 5.000000e-05 eta: 2:44:46 time: 0.447528 data_time: 0.029071 memory: 14278 loss_kpt: 0.000496 acc_pose: 0.906665 loss: 0.000496 2022/09/27 00:46:12 - mmengine - INFO - Epoch(train) [171][200/586] lr: 5.000000e-05 eta: 2:44:25 time: 0.440393 data_time: 0.029890 memory: 14278 loss_kpt: 0.000495 acc_pose: 0.903763 loss: 0.000495 2022/09/27 00:46:34 - mmengine - INFO - Epoch(train) [171][250/586] lr: 5.000000e-05 eta: 2:44:04 time: 0.440165 data_time: 0.038499 memory: 14278 loss_kpt: 0.000496 acc_pose: 0.860649 loss: 0.000496 2022/09/27 00:46:56 - mmengine - INFO - Epoch(train) [171][300/586] lr: 5.000000e-05 eta: 2:43:43 time: 0.434300 data_time: 0.030531 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.878355 loss: 0.000472 2022/09/27 00:47:18 - mmengine - INFO - Epoch(train) [171][350/586] lr: 5.000000e-05 eta: 2:43:22 time: 0.440503 data_time: 0.030049 memory: 14278 loss_kpt: 0.000494 acc_pose: 0.913421 loss: 0.000494 2022/09/27 00:47:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:47:41 - mmengine - INFO - Epoch(train) [171][400/586] lr: 5.000000e-05 eta: 2:43:01 time: 0.464261 data_time: 0.031751 memory: 14278 loss_kpt: 0.000489 acc_pose: 0.878891 loss: 0.000489 2022/09/27 00:48:03 - mmengine - INFO - Epoch(train) [171][450/586] lr: 5.000000e-05 eta: 2:42:40 time: 0.436888 data_time: 0.032385 memory: 14278 loss_kpt: 0.000477 acc_pose: 0.853611 loss: 0.000477 2022/09/27 00:48:25 - mmengine - INFO - Epoch(train) [171][500/586] lr: 5.000000e-05 eta: 2:42:19 time: 0.439815 data_time: 0.041159 memory: 14278 loss_kpt: 0.000479 acc_pose: 0.915493 loss: 0.000479 2022/09/27 00:48:47 - mmengine - INFO - Epoch(train) [171][550/586] lr: 5.000000e-05 eta: 2:41:58 time: 0.448947 data_time: 0.031461 memory: 14278 loss_kpt: 0.000480 acc_pose: 0.897205 loss: 0.000480 2022/09/27 00:49:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:49:27 - mmengine - INFO - Epoch(train) [172][50/586] lr: 5.000000e-05 eta: 2:41:19 time: 0.461941 data_time: 0.041255 memory: 14278 loss_kpt: 0.000495 acc_pose: 0.882061 loss: 0.000495 2022/09/27 00:49:50 - mmengine - INFO - Epoch(train) [172][100/586] lr: 5.000000e-05 eta: 2:40:58 time: 0.449867 data_time: 0.031831 memory: 14278 loss_kpt: 0.000492 acc_pose: 0.882384 loss: 0.000492 2022/09/27 00:50:12 - mmengine - INFO - Epoch(train) [172][150/586] lr: 5.000000e-05 eta: 2:40:37 time: 0.443439 data_time: 0.031384 memory: 14278 loss_kpt: 0.000474 acc_pose: 0.922314 loss: 0.000474 2022/09/27 00:50:35 - mmengine - INFO - Epoch(train) [172][200/586] lr: 5.000000e-05 eta: 2:40:16 time: 0.455932 data_time: 0.037826 memory: 14278 loss_kpt: 0.000505 acc_pose: 0.903473 loss: 0.000505 2022/09/27 00:50:56 - mmengine - INFO - Epoch(train) [172][250/586] lr: 5.000000e-05 eta: 2:39:55 time: 0.433944 data_time: 0.032351 memory: 14278 loss_kpt: 0.000486 acc_pose: 0.866020 loss: 0.000486 2022/09/27 00:51:19 - mmengine - INFO - Epoch(train) [172][300/586] lr: 5.000000e-05 eta: 2:39:34 time: 0.451825 data_time: 0.031721 memory: 14278 loss_kpt: 0.000492 acc_pose: 0.918654 loss: 0.000492 2022/09/27 00:51:41 - mmengine - INFO - Epoch(train) [172][350/586] lr: 5.000000e-05 eta: 2:39:13 time: 0.441417 data_time: 0.030953 memory: 14278 loss_kpt: 0.000499 acc_pose: 0.848493 loss: 0.000499 2022/09/27 00:52:03 - mmengine - INFO - Epoch(train) [172][400/586] lr: 5.000000e-05 eta: 2:38:52 time: 0.431506 data_time: 0.032109 memory: 14278 loss_kpt: 0.000478 acc_pose: 0.898034 loss: 0.000478 2022/09/27 00:52:25 - mmengine - INFO - Epoch(train) [172][450/586] lr: 5.000000e-05 eta: 2:38:31 time: 0.439307 data_time: 0.043217 memory: 14278 loss_kpt: 0.000498 acc_pose: 0.931902 loss: 0.000498 2022/09/27 00:52:46 - mmengine - INFO - Epoch(train) [172][500/586] lr: 5.000000e-05 eta: 2:38:10 time: 0.432518 data_time: 0.028313 memory: 14278 loss_kpt: 0.000475 acc_pose: 0.847934 loss: 0.000475 2022/09/27 00:53:09 - mmengine - INFO - Epoch(train) [172][550/586] lr: 5.000000e-05 eta: 2:37:49 time: 0.446869 data_time: 0.032387 memory: 14278 loss_kpt: 0.000488 acc_pose: 0.881923 loss: 0.000488 2022/09/27 00:53:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:53:48 - mmengine - INFO - Epoch(train) [173][50/586] lr: 5.000000e-05 eta: 2:37:09 time: 0.466784 data_time: 0.048748 memory: 14278 loss_kpt: 0.000482 acc_pose: 0.878390 loss: 0.000482 2022/09/27 00:54:10 - mmengine - INFO - Epoch(train) [173][100/586] lr: 5.000000e-05 eta: 2:36:48 time: 0.438911 data_time: 0.037619 memory: 14278 loss_kpt: 0.000476 acc_pose: 0.909978 loss: 0.000476 2022/09/27 00:54:31 - mmengine - INFO - Epoch(train) [173][150/586] lr: 5.000000e-05 eta: 2:36:27 time: 0.430979 data_time: 0.031202 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.954425 loss: 0.000458 2022/09/27 00:54:53 - mmengine - INFO - Epoch(train) [173][200/586] lr: 5.000000e-05 eta: 2:36:06 time: 0.442052 data_time: 0.030141 memory: 14278 loss_kpt: 0.000487 acc_pose: 0.900226 loss: 0.000487 2022/09/27 00:54:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:55:16 - mmengine - INFO - Epoch(train) [173][250/586] lr: 5.000000e-05 eta: 2:35:45 time: 0.453961 data_time: 0.033477 memory: 14278 loss_kpt: 0.000476 acc_pose: 0.850525 loss: 0.000476 2022/09/27 00:55:38 - mmengine - INFO - Epoch(train) [173][300/586] lr: 5.000000e-05 eta: 2:35:24 time: 0.440950 data_time: 0.030246 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.858183 loss: 0.000467 2022/09/27 00:56:00 - mmengine - INFO - Epoch(train) [173][350/586] lr: 5.000000e-05 eta: 2:35:03 time: 0.438708 data_time: 0.039740 memory: 14278 loss_kpt: 0.000480 acc_pose: 0.914898 loss: 0.000480 2022/09/27 00:56:22 - mmengine - INFO - Epoch(train) [173][400/586] lr: 5.000000e-05 eta: 2:34:42 time: 0.434504 data_time: 0.034842 memory: 14278 loss_kpt: 0.000485 acc_pose: 0.898934 loss: 0.000485 2022/09/27 00:56:44 - mmengine - INFO - Epoch(train) [173][450/586] lr: 5.000000e-05 eta: 2:34:21 time: 0.443481 data_time: 0.030214 memory: 14278 loss_kpt: 0.000474 acc_pose: 0.890060 loss: 0.000474 2022/09/27 00:57:07 - mmengine - INFO - Epoch(train) [173][500/586] lr: 5.000000e-05 eta: 2:34:00 time: 0.460114 data_time: 0.032027 memory: 14278 loss_kpt: 0.000489 acc_pose: 0.848178 loss: 0.000489 2022/09/27 00:57:30 - mmengine - INFO - Epoch(train) [173][550/586] lr: 5.000000e-05 eta: 2:33:39 time: 0.465557 data_time: 0.034345 memory: 14278 loss_kpt: 0.000476 acc_pose: 0.900343 loss: 0.000476 2022/09/27 00:57:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 00:58:09 - mmengine - INFO - Epoch(train) [174][50/586] lr: 5.000000e-05 eta: 2:33:00 time: 0.458575 data_time: 0.041938 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.884164 loss: 0.000455 2022/09/27 00:58:31 - mmengine - INFO - Epoch(train) [174][100/586] lr: 5.000000e-05 eta: 2:32:39 time: 0.449207 data_time: 0.030569 memory: 14278 loss_kpt: 0.000476 acc_pose: 0.855951 loss: 0.000476 2022/09/27 00:58:54 - mmengine - INFO - Epoch(train) [174][150/586] lr: 5.000000e-05 eta: 2:32:18 time: 0.461375 data_time: 0.032570 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.923491 loss: 0.000459 2022/09/27 00:59:17 - mmengine - INFO - Epoch(train) [174][200/586] lr: 5.000000e-05 eta: 2:31:57 time: 0.448807 data_time: 0.030842 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.870287 loss: 0.000472 2022/09/27 00:59:39 - mmengine - INFO - Epoch(train) [174][250/586] lr: 5.000000e-05 eta: 2:31:36 time: 0.438497 data_time: 0.031801 memory: 14278 loss_kpt: 0.000500 acc_pose: 0.853254 loss: 0.000500 2022/09/27 01:00:02 - mmengine - INFO - Epoch(train) [174][300/586] lr: 5.000000e-05 eta: 2:31:15 time: 0.454849 data_time: 0.039390 memory: 14278 loss_kpt: 0.000479 acc_pose: 0.902694 loss: 0.000479 2022/09/27 01:00:24 - mmengine - INFO - Epoch(train) [174][350/586] lr: 5.000000e-05 eta: 2:30:54 time: 0.443523 data_time: 0.033116 memory: 14278 loss_kpt: 0.000479 acc_pose: 0.913148 loss: 0.000479 2022/09/27 01:00:46 - mmengine - INFO - Epoch(train) [174][400/586] lr: 5.000000e-05 eta: 2:30:33 time: 0.444138 data_time: 0.031419 memory: 14278 loss_kpt: 0.000477 acc_pose: 0.896278 loss: 0.000477 2022/09/27 01:01:08 - mmengine - INFO - Epoch(train) [174][450/586] lr: 5.000000e-05 eta: 2:30:12 time: 0.443162 data_time: 0.031515 memory: 14278 loss_kpt: 0.000469 acc_pose: 0.900228 loss: 0.000469 2022/09/27 01:01:30 - mmengine - INFO - Epoch(train) [174][500/586] lr: 5.000000e-05 eta: 2:29:51 time: 0.437362 data_time: 0.029539 memory: 14278 loss_kpt: 0.000480 acc_pose: 0.890559 loss: 0.000480 2022/09/27 01:01:52 - mmengine - INFO - Epoch(train) [174][550/586] lr: 5.000000e-05 eta: 2:29:30 time: 0.437794 data_time: 0.033665 memory: 14278 loss_kpt: 0.000493 acc_pose: 0.889563 loss: 0.000493 2022/09/27 01:02:08 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:02:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:02:31 - mmengine - INFO - Epoch(train) [175][50/586] lr: 5.000000e-05 eta: 2:28:50 time: 0.455683 data_time: 0.037979 memory: 14278 loss_kpt: 0.000478 acc_pose: 0.817789 loss: 0.000478 2022/09/27 01:02:53 - mmengine - INFO - Epoch(train) [175][100/586] lr: 5.000000e-05 eta: 2:28:29 time: 0.441913 data_time: 0.030717 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.931048 loss: 0.000467 2022/09/27 01:03:16 - mmengine - INFO - Epoch(train) [175][150/586] lr: 5.000000e-05 eta: 2:28:08 time: 0.449040 data_time: 0.030300 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.918129 loss: 0.000467 2022/09/27 01:03:38 - mmengine - INFO - Epoch(train) [175][200/586] lr: 5.000000e-05 eta: 2:27:47 time: 0.452706 data_time: 0.032340 memory: 14278 loss_kpt: 0.000490 acc_pose: 0.914009 loss: 0.000490 2022/09/27 01:04:00 - mmengine - INFO - Epoch(train) [175][250/586] lr: 5.000000e-05 eta: 2:27:26 time: 0.434720 data_time: 0.033159 memory: 14278 loss_kpt: 0.000477 acc_pose: 0.817560 loss: 0.000477 2022/09/27 01:04:22 - mmengine - INFO - Epoch(train) [175][300/586] lr: 5.000000e-05 eta: 2:27:05 time: 0.441942 data_time: 0.030867 memory: 14278 loss_kpt: 0.000475 acc_pose: 0.909109 loss: 0.000475 2022/09/27 01:04:44 - mmengine - INFO - Epoch(train) [175][350/586] lr: 5.000000e-05 eta: 2:26:44 time: 0.442520 data_time: 0.029616 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.912787 loss: 0.000472 2022/09/27 01:05:06 - mmengine - INFO - Epoch(train) [175][400/586] lr: 5.000000e-05 eta: 2:26:23 time: 0.436109 data_time: 0.030244 memory: 14278 loss_kpt: 0.000479 acc_pose: 0.887245 loss: 0.000479 2022/09/27 01:05:28 - mmengine - INFO - Epoch(train) [175][450/586] lr: 5.000000e-05 eta: 2:26:02 time: 0.436781 data_time: 0.037596 memory: 14278 loss_kpt: 0.000471 acc_pose: 0.921309 loss: 0.000471 2022/09/27 01:05:50 - mmengine - INFO - Epoch(train) [175][500/586] lr: 5.000000e-05 eta: 2:25:41 time: 0.440467 data_time: 0.034061 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.934098 loss: 0.000466 2022/09/27 01:06:13 - mmengine - INFO - Epoch(train) [175][550/586] lr: 5.000000e-05 eta: 2:25:20 time: 0.461149 data_time: 0.030890 memory: 14278 loss_kpt: 0.000477 acc_pose: 0.822775 loss: 0.000477 2022/09/27 01:06:29 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:06:53 - mmengine - INFO - Epoch(train) [176][50/586] lr: 5.000000e-05 eta: 2:24:41 time: 0.470543 data_time: 0.039897 memory: 14278 loss_kpt: 0.000484 acc_pose: 0.884229 loss: 0.000484 2022/09/27 01:07:15 - mmengine - INFO - Epoch(train) [176][100/586] lr: 5.000000e-05 eta: 2:24:20 time: 0.437070 data_time: 0.039742 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.906531 loss: 0.000472 2022/09/27 01:07:37 - mmengine - INFO - Epoch(train) [176][150/586] lr: 5.000000e-05 eta: 2:23:59 time: 0.447910 data_time: 0.030582 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.892246 loss: 0.000464 2022/09/27 01:07:59 - mmengine - INFO - Epoch(train) [176][200/586] lr: 5.000000e-05 eta: 2:23:38 time: 0.443748 data_time: 0.029883 memory: 14278 loss_kpt: 0.000474 acc_pose: 0.902321 loss: 0.000474 2022/09/27 01:08:22 - mmengine - INFO - Epoch(train) [176][250/586] lr: 5.000000e-05 eta: 2:23:17 time: 0.460465 data_time: 0.029527 memory: 14278 loss_kpt: 0.000488 acc_pose: 0.908371 loss: 0.000488 2022/09/27 01:08:45 - mmengine - INFO - Epoch(train) [176][300/586] lr: 5.000000e-05 eta: 2:22:56 time: 0.449673 data_time: 0.030229 memory: 14278 loss_kpt: 0.000479 acc_pose: 0.880598 loss: 0.000479 2022/09/27 01:09:08 - mmengine - INFO - Epoch(train) [176][350/586] lr: 5.000000e-05 eta: 2:22:35 time: 0.456133 data_time: 0.034180 memory: 14278 loss_kpt: 0.000478 acc_pose: 0.867307 loss: 0.000478 2022/09/27 01:09:30 - mmengine - INFO - Epoch(train) [176][400/586] lr: 5.000000e-05 eta: 2:22:14 time: 0.440891 data_time: 0.032620 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.862522 loss: 0.000465 2022/09/27 01:09:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:09:52 - mmengine - INFO - Epoch(train) [176][450/586] lr: 5.000000e-05 eta: 2:21:53 time: 0.445922 data_time: 0.031453 memory: 14278 loss_kpt: 0.000492 acc_pose: 0.876905 loss: 0.000492 2022/09/27 01:10:14 - mmengine - INFO - Epoch(train) [176][500/586] lr: 5.000000e-05 eta: 2:21:32 time: 0.439485 data_time: 0.035879 memory: 14278 loss_kpt: 0.000500 acc_pose: 0.861109 loss: 0.000500 2022/09/27 01:10:36 - mmengine - INFO - Epoch(train) [176][550/586] lr: 5.000000e-05 eta: 2:21:11 time: 0.438721 data_time: 0.028775 memory: 14278 loss_kpt: 0.000476 acc_pose: 0.883911 loss: 0.000476 2022/09/27 01:10:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:11:14 - mmengine - INFO - Epoch(train) [177][50/586] lr: 5.000000e-05 eta: 2:20:32 time: 0.447696 data_time: 0.039743 memory: 14278 loss_kpt: 0.000481 acc_pose: 0.897628 loss: 0.000481 2022/09/27 01:11:36 - mmengine - INFO - Epoch(train) [177][100/586] lr: 5.000000e-05 eta: 2:20:11 time: 0.439603 data_time: 0.033801 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.933738 loss: 0.000459 2022/09/27 01:11:58 - mmengine - INFO - Epoch(train) [177][150/586] lr: 5.000000e-05 eta: 2:19:50 time: 0.437911 data_time: 0.029750 memory: 14278 loss_kpt: 0.000478 acc_pose: 0.869320 loss: 0.000478 2022/09/27 01:12:22 - mmengine - INFO - Epoch(train) [177][200/586] lr: 5.000000e-05 eta: 2:19:29 time: 0.465558 data_time: 0.031144 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.887504 loss: 0.000472 2022/09/27 01:12:44 - mmengine - INFO - Epoch(train) [177][250/586] lr: 5.000000e-05 eta: 2:19:08 time: 0.441673 data_time: 0.037595 memory: 14278 loss_kpt: 0.000474 acc_pose: 0.837529 loss: 0.000474 2022/09/27 01:13:06 - mmengine - INFO - Epoch(train) [177][300/586] lr: 5.000000e-05 eta: 2:18:47 time: 0.453103 data_time: 0.031451 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.915413 loss: 0.000472 2022/09/27 01:13:28 - mmengine - INFO - Epoch(train) [177][350/586] lr: 5.000000e-05 eta: 2:18:26 time: 0.439383 data_time: 0.029676 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.869498 loss: 0.000463 2022/09/27 01:13:50 - mmengine - INFO - Epoch(train) [177][400/586] lr: 5.000000e-05 eta: 2:18:05 time: 0.433897 data_time: 0.029701 memory: 14278 loss_kpt: 0.000479 acc_pose: 0.884930 loss: 0.000479 2022/09/27 01:14:12 - mmengine - INFO - Epoch(train) [177][450/586] lr: 5.000000e-05 eta: 2:17:44 time: 0.447540 data_time: 0.031999 memory: 14278 loss_kpt: 0.000483 acc_pose: 0.909926 loss: 0.000483 2022/09/27 01:14:35 - mmengine - INFO - Epoch(train) [177][500/586] lr: 5.000000e-05 eta: 2:17:23 time: 0.451902 data_time: 0.036382 memory: 14278 loss_kpt: 0.000478 acc_pose: 0.891235 loss: 0.000478 2022/09/27 01:14:57 - mmengine - INFO - Epoch(train) [177][550/586] lr: 5.000000e-05 eta: 2:17:02 time: 0.449051 data_time: 0.032087 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.907789 loss: 0.000472 2022/09/27 01:15:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:15:37 - mmengine - INFO - Epoch(train) [178][50/586] lr: 5.000000e-05 eta: 2:16:23 time: 0.474640 data_time: 0.038561 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.886884 loss: 0.000456 2022/09/27 01:16:00 - mmengine - INFO - Epoch(train) [178][100/586] lr: 5.000000e-05 eta: 2:16:02 time: 0.464376 data_time: 0.034670 memory: 14278 loss_kpt: 0.000471 acc_pose: 0.865082 loss: 0.000471 2022/09/27 01:16:22 - mmengine - INFO - Epoch(train) [178][150/586] lr: 5.000000e-05 eta: 2:15:41 time: 0.438981 data_time: 0.034147 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.834588 loss: 0.000466 2022/09/27 01:16:45 - mmengine - INFO - Epoch(train) [178][200/586] lr: 5.000000e-05 eta: 2:15:20 time: 0.455935 data_time: 0.031393 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.914277 loss: 0.000464 2022/09/27 01:17:08 - mmengine - INFO - Epoch(train) [178][250/586] lr: 5.000000e-05 eta: 2:14:59 time: 0.448940 data_time: 0.031163 memory: 14278 loss_kpt: 0.000486 acc_pose: 0.902103 loss: 0.000486 2022/09/27 01:17:22 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:17:31 - mmengine - INFO - Epoch(train) [178][300/586] lr: 5.000000e-05 eta: 2:14:38 time: 0.470419 data_time: 0.032902 memory: 14278 loss_kpt: 0.000478 acc_pose: 0.855878 loss: 0.000478 2022/09/27 01:17:54 - mmengine - INFO - Epoch(train) [178][350/586] lr: 5.000000e-05 eta: 2:14:17 time: 0.447695 data_time: 0.031779 memory: 14278 loss_kpt: 0.000474 acc_pose: 0.850612 loss: 0.000474 2022/09/27 01:18:17 - mmengine - INFO - Epoch(train) [178][400/586] lr: 5.000000e-05 eta: 2:13:56 time: 0.469573 data_time: 0.031046 memory: 14278 loss_kpt: 0.000477 acc_pose: 0.883313 loss: 0.000477 2022/09/27 01:18:39 - mmengine - INFO - Epoch(train) [178][450/586] lr: 5.000000e-05 eta: 2:13:35 time: 0.447538 data_time: 0.029903 memory: 14278 loss_kpt: 0.000484 acc_pose: 0.925860 loss: 0.000484 2022/09/27 01:19:02 - mmengine - INFO - Epoch(train) [178][500/586] lr: 5.000000e-05 eta: 2:13:14 time: 0.456295 data_time: 0.031522 memory: 14278 loss_kpt: 0.000477 acc_pose: 0.864737 loss: 0.000477 2022/09/27 01:19:24 - mmengine - INFO - Epoch(train) [178][550/586] lr: 5.000000e-05 eta: 2:12:53 time: 0.443186 data_time: 0.031357 memory: 14278 loss_kpt: 0.000461 acc_pose: 0.935401 loss: 0.000461 2022/09/27 01:19:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:20:04 - mmengine - INFO - Epoch(train) [179][50/586] lr: 5.000000e-05 eta: 2:12:15 time: 0.467589 data_time: 0.040240 memory: 14278 loss_kpt: 0.000484 acc_pose: 0.870196 loss: 0.000484 2022/09/27 01:20:26 - mmengine - INFO - Epoch(train) [179][100/586] lr: 5.000000e-05 eta: 2:11:53 time: 0.442975 data_time: 0.030230 memory: 14278 loss_kpt: 0.000468 acc_pose: 0.845294 loss: 0.000468 2022/09/27 01:20:48 - mmengine - INFO - Epoch(train) [179][150/586] lr: 5.000000e-05 eta: 2:11:32 time: 0.433070 data_time: 0.034774 memory: 14278 loss_kpt: 0.000468 acc_pose: 0.925374 loss: 0.000468 2022/09/27 01:21:10 - mmengine - INFO - Epoch(train) [179][200/586] lr: 5.000000e-05 eta: 2:11:11 time: 0.452208 data_time: 0.034967 memory: 14278 loss_kpt: 0.000473 acc_pose: 0.895746 loss: 0.000473 2022/09/27 01:21:32 - mmengine - INFO - Epoch(train) [179][250/586] lr: 5.000000e-05 eta: 2:10:50 time: 0.438865 data_time: 0.031004 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.848428 loss: 0.000467 2022/09/27 01:21:55 - mmengine - INFO - Epoch(train) [179][300/586] lr: 5.000000e-05 eta: 2:10:29 time: 0.450061 data_time: 0.032737 memory: 14278 loss_kpt: 0.000482 acc_pose: 0.903245 loss: 0.000482 2022/09/27 01:22:16 - mmengine - INFO - Epoch(train) [179][350/586] lr: 5.000000e-05 eta: 2:10:08 time: 0.435124 data_time: 0.037365 memory: 14278 loss_kpt: 0.000480 acc_pose: 0.858989 loss: 0.000480 2022/09/27 01:22:38 - mmengine - INFO - Epoch(train) [179][400/586] lr: 5.000000e-05 eta: 2:09:47 time: 0.434497 data_time: 0.030667 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.901283 loss: 0.000458 2022/09/27 01:23:01 - mmengine - INFO - Epoch(train) [179][450/586] lr: 5.000000e-05 eta: 2:09:26 time: 0.458510 data_time: 0.032272 memory: 14278 loss_kpt: 0.000483 acc_pose: 0.887000 loss: 0.000483 2022/09/27 01:23:23 - mmengine - INFO - Epoch(train) [179][500/586] lr: 5.000000e-05 eta: 2:09:05 time: 0.443165 data_time: 0.030637 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.869010 loss: 0.000467 2022/09/27 01:23:45 - mmengine - INFO - Epoch(train) [179][550/586] lr: 5.000000e-05 eta: 2:08:44 time: 0.440061 data_time: 0.032722 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.884521 loss: 0.000465 2022/09/27 01:24:01 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:24:24 - mmengine - INFO - Epoch(train) [180][50/586] lr: 5.000000e-05 eta: 2:08:05 time: 0.462579 data_time: 0.042689 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.916267 loss: 0.000454 2022/09/27 01:24:47 - mmengine - INFO - Epoch(train) [180][100/586] lr: 5.000000e-05 eta: 2:07:44 time: 0.456577 data_time: 0.030973 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.905612 loss: 0.000459 2022/09/27 01:24:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:25:10 - mmengine - INFO - Epoch(train) [180][150/586] lr: 5.000000e-05 eta: 2:07:23 time: 0.459559 data_time: 0.031812 memory: 14278 loss_kpt: 0.000471 acc_pose: 0.911662 loss: 0.000471 2022/09/27 01:25:34 - mmengine - INFO - Epoch(train) [180][200/586] lr: 5.000000e-05 eta: 2:07:03 time: 0.480543 data_time: 0.031544 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.883537 loss: 0.000466 2022/09/27 01:25:56 - mmengine - INFO - Epoch(train) [180][250/586] lr: 5.000000e-05 eta: 2:06:42 time: 0.440545 data_time: 0.033488 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.910090 loss: 0.000467 2022/09/27 01:26:18 - mmengine - INFO - Epoch(train) [180][300/586] lr: 5.000000e-05 eta: 2:06:20 time: 0.432794 data_time: 0.037019 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.921726 loss: 0.000462 2022/09/27 01:26:40 - mmengine - INFO - Epoch(train) [180][350/586] lr: 5.000000e-05 eta: 2:05:59 time: 0.449162 data_time: 0.030716 memory: 14278 loss_kpt: 0.000471 acc_pose: 0.895849 loss: 0.000471 2022/09/27 01:27:03 - mmengine - INFO - Epoch(train) [180][400/586] lr: 5.000000e-05 eta: 2:05:38 time: 0.459695 data_time: 0.030239 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.820501 loss: 0.000466 2022/09/27 01:27:26 - mmengine - INFO - Epoch(train) [180][450/586] lr: 5.000000e-05 eta: 2:05:17 time: 0.450613 data_time: 0.033217 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.885450 loss: 0.000447 2022/09/27 01:27:48 - mmengine - INFO - Epoch(train) [180][500/586] lr: 5.000000e-05 eta: 2:04:56 time: 0.444077 data_time: 0.032213 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.925876 loss: 0.000465 2022/09/27 01:28:11 - mmengine - INFO - Epoch(train) [180][550/586] lr: 5.000000e-05 eta: 2:04:35 time: 0.456618 data_time: 0.029663 memory: 14278 loss_kpt: 0.000470 acc_pose: 0.872822 loss: 0.000470 2022/09/27 01:28:28 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:28:28 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/09/27 01:28:53 - mmengine - INFO - Epoch(val) [180][50/407] eta: 0:02:00 time: 0.336468 data_time: 0.092848 memory: 14278 2022/09/27 01:29:09 - mmengine - INFO - Epoch(val) [180][100/407] eta: 0:01:39 time: 0.323117 data_time: 0.071413 memory: 2124 2022/09/27 01:29:25 - mmengine - INFO - Epoch(val) [180][150/407] eta: 0:01:22 time: 0.319802 data_time: 0.087877 memory: 2124 2022/09/27 01:29:41 - mmengine - INFO - Epoch(val) [180][200/407] eta: 0:01:07 time: 0.324434 data_time: 0.085447 memory: 2124 2022/09/27 01:29:58 - mmengine - INFO - Epoch(val) [180][250/407] eta: 0:00:51 time: 0.330930 data_time: 0.086360 memory: 2124 2022/09/27 01:30:15 - mmengine - INFO - Epoch(val) [180][300/407] eta: 0:00:35 time: 0.331657 data_time: 0.095479 memory: 2124 2022/09/27 01:30:32 - mmengine - INFO - Epoch(val) [180][350/407] eta: 0:00:20 time: 0.351152 data_time: 0.112051 memory: 2124 2022/09/27 01:30:44 - mmengine - INFO - Epoch(val) [180][400/407] eta: 0:00:01 time: 0.235724 data_time: 0.049554 memory: 2124 2022/09/27 01:31:16 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 01:31:29 - mmengine - INFO - Epoch(val) [180][407/407] coco/AP: 0.750935 coco/AP .5: 0.906789 coco/AP .75: 0.821006 coco/AP (M): 0.709527 coco/AP (L): 0.823749 coco/AR: 0.801181 coco/AR .5: 0.942538 coco/AR .75: 0.862878 coco/AR (M): 0.755641 coco/AR (L): 0.867336 2022/09/27 01:31:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220926/r152_384/best_coco/AP_epoch_140.pth is removed 2022/09/27 01:31:32 - mmengine - INFO - The best checkpoint with 0.7509 coco/AP at 180 epoch is saved to best_coco/AP_epoch_180.pth. 2022/09/27 01:31:54 - mmengine - INFO - Epoch(train) [181][50/586] lr: 5.000000e-05 eta: 2:03:57 time: 0.448212 data_time: 0.034444 memory: 14278 loss_kpt: 0.000476 acc_pose: 0.895051 loss: 0.000476 2022/09/27 01:32:17 - mmengine - INFO - Epoch(train) [181][100/586] lr: 5.000000e-05 eta: 2:03:36 time: 0.452396 data_time: 0.031614 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.922413 loss: 0.000459 2022/09/27 01:32:39 - mmengine - INFO - Epoch(train) [181][150/586] lr: 5.000000e-05 eta: 2:03:15 time: 0.442222 data_time: 0.032573 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.938851 loss: 0.000456 2022/09/27 01:33:03 - mmengine - INFO - Epoch(train) [181][200/586] lr: 5.000000e-05 eta: 2:02:54 time: 0.477303 data_time: 0.037706 memory: 14278 loss_kpt: 0.000461 acc_pose: 0.840651 loss: 0.000461 2022/09/27 01:33:25 - mmengine - INFO - Epoch(train) [181][250/586] lr: 5.000000e-05 eta: 2:02:33 time: 0.438816 data_time: 0.030710 memory: 14278 loss_kpt: 0.000450 acc_pose: 0.881351 loss: 0.000450 2022/09/27 01:33:47 - mmengine - INFO - Epoch(train) [181][300/586] lr: 5.000000e-05 eta: 2:02:12 time: 0.443711 data_time: 0.033986 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.907772 loss: 0.000467 2022/09/27 01:34:09 - mmengine - INFO - Epoch(train) [181][350/586] lr: 5.000000e-05 eta: 2:01:51 time: 0.444911 data_time: 0.033108 memory: 14278 loss_kpt: 0.000484 acc_pose: 0.846626 loss: 0.000484 2022/09/27 01:34:31 - mmengine - INFO - Epoch(train) [181][400/586] lr: 5.000000e-05 eta: 2:01:29 time: 0.435923 data_time: 0.030418 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.943305 loss: 0.000464 2022/09/27 01:34:53 - mmengine - INFO - Epoch(train) [181][450/586] lr: 5.000000e-05 eta: 2:01:08 time: 0.447682 data_time: 0.037338 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.880674 loss: 0.000455 2022/09/27 01:35:15 - mmengine - INFO - Epoch(train) [181][500/586] lr: 5.000000e-05 eta: 2:00:47 time: 0.434830 data_time: 0.030645 memory: 14278 loss_kpt: 0.000476 acc_pose: 0.882582 loss: 0.000476 2022/09/27 01:35:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:35:37 - mmengine - INFO - Epoch(train) [181][550/586] lr: 5.000000e-05 eta: 2:00:26 time: 0.445373 data_time: 0.030635 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.896930 loss: 0.000455 2022/09/27 01:35:53 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:36:17 - mmengine - INFO - Epoch(train) [182][50/586] lr: 5.000000e-05 eta: 1:59:48 time: 0.477996 data_time: 0.039182 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.848536 loss: 0.000472 2022/09/27 01:36:39 - mmengine - INFO - Epoch(train) [182][100/586] lr: 5.000000e-05 eta: 1:59:27 time: 0.442604 data_time: 0.033838 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.851274 loss: 0.000464 2022/09/27 01:37:01 - mmengine - INFO - Epoch(train) [182][150/586] lr: 5.000000e-05 eta: 1:59:06 time: 0.441280 data_time: 0.037472 memory: 14278 loss_kpt: 0.000461 acc_pose: 0.870674 loss: 0.000461 2022/09/27 01:37:24 - mmengine - INFO - Epoch(train) [182][200/586] lr: 5.000000e-05 eta: 1:58:45 time: 0.443858 data_time: 0.035673 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.897799 loss: 0.000458 2022/09/27 01:37:46 - mmengine - INFO - Epoch(train) [182][250/586] lr: 5.000000e-05 eta: 1:58:23 time: 0.440978 data_time: 0.033830 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.915191 loss: 0.000462 2022/09/27 01:38:08 - mmengine - INFO - Epoch(train) [182][300/586] lr: 5.000000e-05 eta: 1:58:02 time: 0.442385 data_time: 0.030017 memory: 14278 loss_kpt: 0.000474 acc_pose: 0.897389 loss: 0.000474 2022/09/27 01:38:30 - mmengine - INFO - Epoch(train) [182][350/586] lr: 5.000000e-05 eta: 1:57:41 time: 0.452191 data_time: 0.030384 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.905859 loss: 0.000462 2022/09/27 01:38:52 - mmengine - INFO - Epoch(train) [182][400/586] lr: 5.000000e-05 eta: 1:57:20 time: 0.437889 data_time: 0.031214 memory: 14278 loss_kpt: 0.000486 acc_pose: 0.835447 loss: 0.000486 2022/09/27 01:39:15 - mmengine - INFO - Epoch(train) [182][450/586] lr: 5.000000e-05 eta: 1:56:59 time: 0.447399 data_time: 0.031058 memory: 14278 loss_kpt: 0.000478 acc_pose: 0.862591 loss: 0.000478 2022/09/27 01:39:37 - mmengine - INFO - Epoch(train) [182][500/586] lr: 5.000000e-05 eta: 1:56:38 time: 0.448611 data_time: 0.031227 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.941713 loss: 0.000455 2022/09/27 01:40:00 - mmengine - INFO - Epoch(train) [182][550/586] lr: 5.000000e-05 eta: 1:56:17 time: 0.449328 data_time: 0.031882 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.837553 loss: 0.000463 2022/09/27 01:40:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:40:39 - mmengine - INFO - Epoch(train) [183][50/586] lr: 5.000000e-05 eta: 1:55:39 time: 0.455844 data_time: 0.047764 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.853542 loss: 0.000455 2022/09/27 01:41:01 - mmengine - INFO - Epoch(train) [183][100/586] lr: 5.000000e-05 eta: 1:55:18 time: 0.435406 data_time: 0.030493 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.912570 loss: 0.000460 2022/09/27 01:41:24 - mmengine - INFO - Epoch(train) [183][150/586] lr: 5.000000e-05 eta: 1:54:57 time: 0.457172 data_time: 0.030746 memory: 14278 loss_kpt: 0.000443 acc_pose: 0.902708 loss: 0.000443 2022/09/27 01:41:46 - mmengine - INFO - Epoch(train) [183][200/586] lr: 5.000000e-05 eta: 1:54:35 time: 0.441763 data_time: 0.032052 memory: 14278 loss_kpt: 0.000480 acc_pose: 0.864854 loss: 0.000480 2022/09/27 01:42:09 - mmengine - INFO - Epoch(train) [183][250/586] lr: 5.000000e-05 eta: 1:54:14 time: 0.450796 data_time: 0.029678 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.921128 loss: 0.000460 2022/09/27 01:42:32 - mmengine - INFO - Epoch(train) [183][300/586] lr: 5.000000e-05 eta: 1:53:54 time: 0.465218 data_time: 0.031686 memory: 14278 loss_kpt: 0.000485 acc_pose: 0.784383 loss: 0.000485 2022/09/27 01:42:53 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:42:54 - mmengine - INFO - Epoch(train) [183][350/586] lr: 5.000000e-05 eta: 1:53:32 time: 0.436010 data_time: 0.030076 memory: 14278 loss_kpt: 0.000475 acc_pose: 0.854623 loss: 0.000475 2022/09/27 01:43:16 - mmengine - INFO - Epoch(train) [183][400/586] lr: 5.000000e-05 eta: 1:53:11 time: 0.441806 data_time: 0.030465 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.921264 loss: 0.000456 2022/09/27 01:43:38 - mmengine - INFO - Epoch(train) [183][450/586] lr: 5.000000e-05 eta: 1:52:50 time: 0.449936 data_time: 0.031660 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.906172 loss: 0.000463 2022/09/27 01:44:01 - mmengine - INFO - Epoch(train) [183][500/586] lr: 5.000000e-05 eta: 1:52:29 time: 0.456863 data_time: 0.031758 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.860419 loss: 0.000454 2022/09/27 01:44:24 - mmengine - INFO - Epoch(train) [183][550/586] lr: 5.000000e-05 eta: 1:52:08 time: 0.450806 data_time: 0.035638 memory: 14278 loss_kpt: 0.000479 acc_pose: 0.836849 loss: 0.000479 2022/09/27 01:44:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:45:02 - mmengine - INFO - Epoch(train) [184][50/586] lr: 5.000000e-05 eta: 1:51:30 time: 0.461701 data_time: 0.037883 memory: 14278 loss_kpt: 0.000475 acc_pose: 0.909538 loss: 0.000475 2022/09/27 01:45:25 - mmengine - INFO - Epoch(train) [184][100/586] lr: 5.000000e-05 eta: 1:51:09 time: 0.449514 data_time: 0.030922 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.861725 loss: 0.000455 2022/09/27 01:45:47 - mmengine - INFO - Epoch(train) [184][150/586] lr: 5.000000e-05 eta: 1:50:48 time: 0.452092 data_time: 0.031836 memory: 14278 loss_kpt: 0.000450 acc_pose: 0.874123 loss: 0.000450 2022/09/27 01:46:10 - mmengine - INFO - Epoch(train) [184][200/586] lr: 5.000000e-05 eta: 1:50:27 time: 0.449469 data_time: 0.030535 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.919721 loss: 0.000454 2022/09/27 01:46:32 - mmengine - INFO - Epoch(train) [184][250/586] lr: 5.000000e-05 eta: 1:50:06 time: 0.438132 data_time: 0.031312 memory: 14278 loss_kpt: 0.000481 acc_pose: 0.901279 loss: 0.000481 2022/09/27 01:46:54 - mmengine - INFO - Epoch(train) [184][300/586] lr: 5.000000e-05 eta: 1:49:45 time: 0.445021 data_time: 0.039613 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.915912 loss: 0.000457 2022/09/27 01:47:17 - mmengine - INFO - Epoch(train) [184][350/586] lr: 5.000000e-05 eta: 1:49:24 time: 0.448473 data_time: 0.030382 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.905023 loss: 0.000453 2022/09/27 01:47:39 - mmengine - INFO - Epoch(train) [184][400/586] lr: 5.000000e-05 eta: 1:49:03 time: 0.441110 data_time: 0.031801 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.926093 loss: 0.000462 2022/09/27 01:48:01 - mmengine - INFO - Epoch(train) [184][450/586] lr: 5.000000e-05 eta: 1:48:41 time: 0.440667 data_time: 0.029064 memory: 14278 loss_kpt: 0.000469 acc_pose: 0.892136 loss: 0.000469 2022/09/27 01:48:23 - mmengine - INFO - Epoch(train) [184][500/586] lr: 5.000000e-05 eta: 1:48:20 time: 0.442989 data_time: 0.030360 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.898790 loss: 0.000467 2022/09/27 01:48:45 - mmengine - INFO - Epoch(train) [184][550/586] lr: 5.000000e-05 eta: 1:47:59 time: 0.435651 data_time: 0.031992 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.846576 loss: 0.000464 2022/09/27 01:49:00 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:49:24 - mmengine - INFO - Epoch(train) [185][50/586] lr: 5.000000e-05 eta: 1:47:21 time: 0.477865 data_time: 0.040096 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.807073 loss: 0.000459 2022/09/27 01:49:46 - mmengine - INFO - Epoch(train) [185][100/586] lr: 5.000000e-05 eta: 1:47:00 time: 0.438679 data_time: 0.032443 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.883967 loss: 0.000466 2022/09/27 01:50:08 - mmengine - INFO - Epoch(train) [185][150/586] lr: 5.000000e-05 eta: 1:46:39 time: 0.441462 data_time: 0.039299 memory: 14278 loss_kpt: 0.000474 acc_pose: 0.907920 loss: 0.000474 2022/09/27 01:50:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:50:30 - mmengine - INFO - Epoch(train) [185][200/586] lr: 5.000000e-05 eta: 1:46:18 time: 0.439459 data_time: 0.030891 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.902994 loss: 0.000467 2022/09/27 01:51:04 - mmengine - INFO - Epoch(train) [185][250/586] lr: 5.000000e-05 eta: 1:45:58 time: 0.678321 data_time: 0.055553 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.947122 loss: 0.000457 2022/09/27 01:52:22 - mmengine - INFO - Epoch(train) [185][300/586] lr: 5.000000e-05 eta: 1:45:45 time: 1.556337 data_time: 0.123951 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.901790 loss: 0.000472 2022/09/27 01:53:43 - mmengine - INFO - Epoch(train) [185][350/586] lr: 5.000000e-05 eta: 1:45:32 time: 1.623121 data_time: 0.133733 memory: 14278 loss_kpt: 0.000470 acc_pose: 0.873673 loss: 0.000470 2022/09/27 01:54:16 - mmengine - INFO - Epoch(train) [185][400/586] lr: 5.000000e-05 eta: 1:45:12 time: 0.650936 data_time: 0.051803 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.890764 loss: 0.000463 2022/09/27 01:54:43 - mmengine - INFO - Epoch(train) [185][450/586] lr: 5.000000e-05 eta: 1:44:52 time: 0.535413 data_time: 0.072677 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.841522 loss: 0.000459 2022/09/27 01:55:07 - mmengine - INFO - Epoch(train) [185][500/586] lr: 5.000000e-05 eta: 1:44:31 time: 0.479711 data_time: 0.034809 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.913748 loss: 0.000458 2022/09/27 01:55:32 - mmengine - INFO - Epoch(train) [185][550/586] lr: 5.000000e-05 eta: 1:44:10 time: 0.498398 data_time: 0.028855 memory: 14278 loss_kpt: 0.000475 acc_pose: 0.904870 loss: 0.000475 2022/09/27 01:55:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 01:56:12 - mmengine - INFO - Epoch(train) [186][50/586] lr: 5.000000e-05 eta: 1:43:31 time: 0.457756 data_time: 0.041893 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.923094 loss: 0.000454 2022/09/27 01:56:34 - mmengine - INFO - Epoch(train) [186][100/586] lr: 5.000000e-05 eta: 1:43:10 time: 0.449110 data_time: 0.030567 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.896384 loss: 0.000466 2022/09/27 01:56:57 - mmengine - INFO - Epoch(train) [186][150/586] lr: 5.000000e-05 eta: 1:42:49 time: 0.459170 data_time: 0.033875 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.881760 loss: 0.000459 2022/09/27 01:57:20 - mmengine - INFO - Epoch(train) [186][200/586] lr: 5.000000e-05 eta: 1:42:28 time: 0.453486 data_time: 0.031795 memory: 14278 loss_kpt: 0.000469 acc_pose: 0.905626 loss: 0.000469 2022/09/27 01:57:42 - mmengine - INFO - Epoch(train) [186][250/586] lr: 5.000000e-05 eta: 1:42:07 time: 0.438649 data_time: 0.031004 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.889539 loss: 0.000464 2022/09/27 01:58:04 - mmengine - INFO - Epoch(train) [186][300/586] lr: 5.000000e-05 eta: 1:41:46 time: 0.452579 data_time: 0.030350 memory: 14278 loss_kpt: 0.000470 acc_pose: 0.898089 loss: 0.000470 2022/09/27 01:58:26 - mmengine - INFO - Epoch(train) [186][350/586] lr: 5.000000e-05 eta: 1:41:25 time: 0.440564 data_time: 0.031450 memory: 14278 loss_kpt: 0.000461 acc_pose: 0.938659 loss: 0.000461 2022/09/27 01:58:49 - mmengine - INFO - Epoch(train) [186][400/586] lr: 5.000000e-05 eta: 1:41:04 time: 0.461417 data_time: 0.032960 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.918399 loss: 0.000457 2022/09/27 01:59:12 - mmengine - INFO - Epoch(train) [186][450/586] lr: 5.000000e-05 eta: 1:40:42 time: 0.443016 data_time: 0.033133 memory: 14278 loss_kpt: 0.000475 acc_pose: 0.861345 loss: 0.000475 2022/09/27 01:59:34 - mmengine - INFO - Epoch(train) [186][500/586] lr: 5.000000e-05 eta: 1:40:21 time: 0.455220 data_time: 0.036366 memory: 14278 loss_kpt: 0.000448 acc_pose: 0.851923 loss: 0.000448 2022/09/27 01:59:57 - mmengine - INFO - Epoch(train) [186][550/586] lr: 5.000000e-05 eta: 1:40:00 time: 0.456551 data_time: 0.030491 memory: 14278 loss_kpt: 0.000473 acc_pose: 0.910833 loss: 0.000473 2022/09/27 02:00:17 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:00:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:00:41 - mmengine - INFO - Epoch(train) [187][50/586] lr: 5.000000e-05 eta: 1:39:22 time: 0.490974 data_time: 0.047316 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.913846 loss: 0.000455 2022/09/27 02:01:03 - mmengine - INFO - Epoch(train) [187][100/586] lr: 5.000000e-05 eta: 1:39:01 time: 0.437247 data_time: 0.030612 memory: 14278 loss_kpt: 0.000461 acc_pose: 0.910844 loss: 0.000461 2022/09/27 02:01:25 - mmengine - INFO - Epoch(train) [187][150/586] lr: 5.000000e-05 eta: 1:38:40 time: 0.433621 data_time: 0.036250 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.910434 loss: 0.000458 2022/09/27 02:01:47 - mmengine - INFO - Epoch(train) [187][200/586] lr: 5.000000e-05 eta: 1:38:19 time: 0.437646 data_time: 0.028835 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.902050 loss: 0.000455 2022/09/27 02:02:09 - mmengine - INFO - Epoch(train) [187][250/586] lr: 5.000000e-05 eta: 1:37:57 time: 0.445972 data_time: 0.029858 memory: 14278 loss_kpt: 0.000473 acc_pose: 0.893287 loss: 0.000473 2022/09/27 02:02:33 - mmengine - INFO - Epoch(train) [187][300/586] lr: 5.000000e-05 eta: 1:37:36 time: 0.474325 data_time: 0.031501 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.878585 loss: 0.000463 2022/09/27 02:02:55 - mmengine - INFO - Epoch(train) [187][350/586] lr: 5.000000e-05 eta: 1:37:15 time: 0.439543 data_time: 0.028895 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.904713 loss: 0.000464 2022/09/27 02:03:17 - mmengine - INFO - Epoch(train) [187][400/586] lr: 5.000000e-05 eta: 1:36:54 time: 0.439169 data_time: 0.033446 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.859891 loss: 0.000456 2022/09/27 02:03:39 - mmengine - INFO - Epoch(train) [187][450/586] lr: 5.000000e-05 eta: 1:36:33 time: 0.432144 data_time: 0.030030 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.868725 loss: 0.000464 2022/09/27 02:04:00 - mmengine - INFO - Epoch(train) [187][500/586] lr: 5.000000e-05 eta: 1:36:12 time: 0.435955 data_time: 0.034373 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.875447 loss: 0.000459 2022/09/27 02:04:23 - mmengine - INFO - Epoch(train) [187][550/586] lr: 5.000000e-05 eta: 1:35:51 time: 0.453608 data_time: 0.029888 memory: 14278 loss_kpt: 0.000469 acc_pose: 0.919993 loss: 0.000469 2022/09/27 02:04:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:05:02 - mmengine - INFO - Epoch(train) [188][50/586] lr: 5.000000e-05 eta: 1:35:12 time: 0.465378 data_time: 0.039490 memory: 14278 loss_kpt: 0.000477 acc_pose: 0.890576 loss: 0.000477 2022/09/27 02:05:24 - mmengine - INFO - Epoch(train) [188][100/586] lr: 5.000000e-05 eta: 1:34:51 time: 0.439365 data_time: 0.038649 memory: 14278 loss_kpt: 0.000441 acc_pose: 0.895073 loss: 0.000441 2022/09/27 02:05:46 - mmengine - INFO - Epoch(train) [188][150/586] lr: 5.000000e-05 eta: 1:34:30 time: 0.438417 data_time: 0.030844 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.920266 loss: 0.000457 2022/09/27 02:06:08 - mmengine - INFO - Epoch(train) [188][200/586] lr: 5.000000e-05 eta: 1:34:09 time: 0.441047 data_time: 0.029298 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.911423 loss: 0.000447 2022/09/27 02:06:30 - mmengine - INFO - Epoch(train) [188][250/586] lr: 5.000000e-05 eta: 1:33:48 time: 0.444528 data_time: 0.028678 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.828585 loss: 0.000449 2022/09/27 02:06:52 - mmengine - INFO - Epoch(train) [188][300/586] lr: 5.000000e-05 eta: 1:33:26 time: 0.439544 data_time: 0.029029 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.863442 loss: 0.000467 2022/09/27 02:07:15 - mmengine - INFO - Epoch(train) [188][350/586] lr: 5.000000e-05 eta: 1:33:05 time: 0.457625 data_time: 0.029985 memory: 14278 loss_kpt: 0.000478 acc_pose: 0.864255 loss: 0.000478 2022/09/27 02:07:37 - mmengine - INFO - Epoch(train) [188][400/586] lr: 5.000000e-05 eta: 1:32:44 time: 0.435761 data_time: 0.030520 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.916285 loss: 0.000456 2022/09/27 02:07:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:07:59 - mmengine - INFO - Epoch(train) [188][450/586] lr: 5.000000e-05 eta: 1:32:23 time: 0.437858 data_time: 0.028821 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.877590 loss: 0.000465 2022/09/27 02:08:21 - mmengine - INFO - Epoch(train) [188][500/586] lr: 5.000000e-05 eta: 1:32:02 time: 0.449973 data_time: 0.034379 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.900198 loss: 0.000467 2022/09/27 02:08:43 - mmengine - INFO - Epoch(train) [188][550/586] lr: 5.000000e-05 eta: 1:31:41 time: 0.438941 data_time: 0.031327 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.891004 loss: 0.000460 2022/09/27 02:08:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:09:22 - mmengine - INFO - Epoch(train) [189][50/586] lr: 5.000000e-05 eta: 1:31:02 time: 0.465531 data_time: 0.039506 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.927251 loss: 0.000462 2022/09/27 02:09:44 - mmengine - INFO - Epoch(train) [189][100/586] lr: 5.000000e-05 eta: 1:30:41 time: 0.441754 data_time: 0.030381 memory: 14278 loss_kpt: 0.000468 acc_pose: 0.882090 loss: 0.000468 2022/09/27 02:10:07 - mmengine - INFO - Epoch(train) [189][150/586] lr: 5.000000e-05 eta: 1:30:20 time: 0.444063 data_time: 0.029501 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.882381 loss: 0.000463 2022/09/27 02:10:28 - mmengine - INFO - Epoch(train) [189][200/586] lr: 5.000000e-05 eta: 1:29:59 time: 0.433065 data_time: 0.030337 memory: 14278 loss_kpt: 0.000468 acc_pose: 0.906760 loss: 0.000468 2022/09/27 02:10:50 - mmengine - INFO - Epoch(train) [189][250/586] lr: 5.000000e-05 eta: 1:29:38 time: 0.437864 data_time: 0.037969 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.904785 loss: 0.000462 2022/09/27 02:11:13 - mmengine - INFO - Epoch(train) [189][300/586] lr: 5.000000e-05 eta: 1:29:16 time: 0.444551 data_time: 0.032004 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.905338 loss: 0.000458 2022/09/27 02:11:36 - mmengine - INFO - Epoch(train) [189][350/586] lr: 5.000000e-05 eta: 1:28:55 time: 0.464019 data_time: 0.029197 memory: 14278 loss_kpt: 0.000443 acc_pose: 0.903806 loss: 0.000443 2022/09/27 02:11:58 - mmengine - INFO - Epoch(train) [189][400/586] lr: 5.000000e-05 eta: 1:28:34 time: 0.438742 data_time: 0.028370 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.928218 loss: 0.000456 2022/09/27 02:12:20 - mmengine - INFO - Epoch(train) [189][450/586] lr: 5.000000e-05 eta: 1:28:13 time: 0.437792 data_time: 0.030578 memory: 14278 loss_kpt: 0.000451 acc_pose: 0.866542 loss: 0.000451 2022/09/27 02:12:42 - mmengine - INFO - Epoch(train) [189][500/586] lr: 5.000000e-05 eta: 1:27:52 time: 0.446307 data_time: 0.038681 memory: 14278 loss_kpt: 0.000473 acc_pose: 0.899941 loss: 0.000473 2022/09/27 02:13:05 - mmengine - INFO - Epoch(train) [189][550/586] lr: 5.000000e-05 eta: 1:27:31 time: 0.455153 data_time: 0.031256 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.921972 loss: 0.000466 2022/09/27 02:13:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:13:44 - mmengine - INFO - Epoch(train) [190][50/586] lr: 5.000000e-05 eta: 1:26:53 time: 0.480813 data_time: 0.039823 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.879027 loss: 0.000464 2022/09/27 02:14:06 - mmengine - INFO - Epoch(train) [190][100/586] lr: 5.000000e-05 eta: 1:26:32 time: 0.435588 data_time: 0.030097 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.909832 loss: 0.000447 2022/09/27 02:14:28 - mmengine - INFO - Epoch(train) [190][150/586] lr: 5.000000e-05 eta: 1:26:10 time: 0.436942 data_time: 0.029733 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.910947 loss: 0.000455 2022/09/27 02:14:51 - mmengine - INFO - Epoch(train) [190][200/586] lr: 5.000000e-05 eta: 1:25:49 time: 0.450948 data_time: 0.032885 memory: 14278 loss_kpt: 0.000452 acc_pose: 0.886324 loss: 0.000452 2022/09/27 02:15:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:15:14 - mmengine - INFO - Epoch(train) [190][250/586] lr: 5.000000e-05 eta: 1:25:28 time: 0.458143 data_time: 0.030803 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.872541 loss: 0.000454 2022/09/27 02:15:36 - mmengine - INFO - Epoch(train) [190][300/586] lr: 5.000000e-05 eta: 1:25:07 time: 0.447759 data_time: 0.029130 memory: 14278 loss_kpt: 0.000471 acc_pose: 0.922142 loss: 0.000471 2022/09/27 02:15:59 - mmengine - INFO - Epoch(train) [190][350/586] lr: 5.000000e-05 eta: 1:24:46 time: 0.453871 data_time: 0.031488 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.881030 loss: 0.000463 2022/09/27 02:16:21 - mmengine - INFO - Epoch(train) [190][400/586] lr: 5.000000e-05 eta: 1:24:25 time: 0.436049 data_time: 0.034343 memory: 14278 loss_kpt: 0.000451 acc_pose: 0.882167 loss: 0.000451 2022/09/27 02:16:42 - mmengine - INFO - Epoch(train) [190][450/586] lr: 5.000000e-05 eta: 1:24:03 time: 0.436058 data_time: 0.033359 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.908906 loss: 0.000456 2022/09/27 02:17:04 - mmengine - INFO - Epoch(train) [190][500/586] lr: 5.000000e-05 eta: 1:23:42 time: 0.441036 data_time: 0.032755 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.903113 loss: 0.000460 2022/09/27 02:17:26 - mmengine - INFO - Epoch(train) [190][550/586] lr: 5.000000e-05 eta: 1:23:21 time: 0.440262 data_time: 0.032343 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.889724 loss: 0.000449 2022/09/27 02:17:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:17:43 - mmengine - INFO - Saving checkpoint at 190 epochs 2022/09/27 02:18:11 - mmengine - INFO - Epoch(val) [190][50/407] eta: 0:02:01 time: 0.341006 data_time: 0.093305 memory: 14278 2022/09/27 02:18:28 - mmengine - INFO - Epoch(val) [190][100/407] eta: 0:01:42 time: 0.335404 data_time: 0.090999 memory: 2124 2022/09/27 02:18:44 - mmengine - INFO - Epoch(val) [190][150/407] eta: 0:01:24 time: 0.327151 data_time: 0.076438 memory: 2124 2022/09/27 02:19:01 - mmengine - INFO - Epoch(val) [190][200/407] eta: 0:01:09 time: 0.334037 data_time: 0.098417 memory: 2124 2022/09/27 02:19:17 - mmengine - INFO - Epoch(val) [190][250/407] eta: 0:00:51 time: 0.326497 data_time: 0.089756 memory: 2124 2022/09/27 02:19:34 - mmengine - INFO - Epoch(val) [190][300/407] eta: 0:00:36 time: 0.342981 data_time: 0.101150 memory: 2124 2022/09/27 02:19:51 - mmengine - INFO - Epoch(val) [190][350/407] eta: 0:00:18 time: 0.330081 data_time: 0.089897 memory: 2124 2022/09/27 02:20:03 - mmengine - INFO - Epoch(val) [190][400/407] eta: 0:00:01 time: 0.244403 data_time: 0.060105 memory: 2124 2022/09/27 02:20:36 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 02:20:49 - mmengine - INFO - Epoch(val) [190][407/407] coco/AP: 0.750065 coco/AP .5: 0.905562 coco/AP .75: 0.821837 coco/AP (M): 0.709053 coco/AP (L): 0.821189 coco/AR: 0.800913 coco/AR .5: 0.940806 coco/AR .75: 0.864295 coco/AR (M): 0.755340 coco/AR (L): 0.866444 2022/09/27 02:21:14 - mmengine - INFO - Epoch(train) [191][50/586] lr: 5.000000e-05 eta: 1:22:43 time: 0.495439 data_time: 0.040255 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.883678 loss: 0.000456 2022/09/27 02:21:36 - mmengine - INFO - Epoch(train) [191][100/586] lr: 5.000000e-05 eta: 1:22:22 time: 0.451318 data_time: 0.031520 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.924099 loss: 0.000467 2022/09/27 02:21:58 - mmengine - INFO - Epoch(train) [191][150/586] lr: 5.000000e-05 eta: 1:22:01 time: 0.430068 data_time: 0.029841 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.925206 loss: 0.000449 2022/09/27 02:22:20 - mmengine - INFO - Epoch(train) [191][200/586] lr: 5.000000e-05 eta: 1:21:40 time: 0.439416 data_time: 0.031004 memory: 14278 loss_kpt: 0.000468 acc_pose: 0.856887 loss: 0.000468 2022/09/27 02:22:42 - mmengine - INFO - Epoch(train) [191][250/586] lr: 5.000000e-05 eta: 1:21:19 time: 0.451312 data_time: 0.029173 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.924375 loss: 0.000464 2022/09/27 02:23:05 - mmengine - INFO - Epoch(train) [191][300/586] lr: 5.000000e-05 eta: 1:20:57 time: 0.451208 data_time: 0.037162 memory: 14278 loss_kpt: 0.000470 acc_pose: 0.947451 loss: 0.000470 2022/09/27 02:23:27 - mmengine - INFO - Epoch(train) [191][350/586] lr: 5.000000e-05 eta: 1:20:36 time: 0.433545 data_time: 0.031441 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.857039 loss: 0.000467 2022/09/27 02:23:49 - mmengine - INFO - Epoch(train) [191][400/586] lr: 5.000000e-05 eta: 1:20:15 time: 0.437491 data_time: 0.030557 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.905837 loss: 0.000454 2022/09/27 02:24:11 - mmengine - INFO - Epoch(train) [191][450/586] lr: 5.000000e-05 eta: 1:19:54 time: 0.443326 data_time: 0.033971 memory: 14278 loss_kpt: 0.000451 acc_pose: 0.924755 loss: 0.000451 2022/09/27 02:24:33 - mmengine - INFO - Epoch(train) [191][500/586] lr: 5.000000e-05 eta: 1:19:33 time: 0.441747 data_time: 0.030204 memory: 14278 loss_kpt: 0.000481 acc_pose: 0.892647 loss: 0.000481 2022/09/27 02:24:56 - mmengine - INFO - Epoch(train) [191][550/586] lr: 5.000000e-05 eta: 1:19:12 time: 0.464215 data_time: 0.030289 memory: 14278 loss_kpt: 0.000469 acc_pose: 0.903671 loss: 0.000469 2022/09/27 02:25:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:25:35 - mmengine - INFO - Epoch(train) [192][50/586] lr: 5.000000e-05 eta: 1:18:34 time: 0.466300 data_time: 0.039069 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.905933 loss: 0.000449 2022/09/27 02:25:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:25:57 - mmengine - INFO - Epoch(train) [192][100/586] lr: 5.000000e-05 eta: 1:18:12 time: 0.449104 data_time: 0.032328 memory: 14278 loss_kpt: 0.000450 acc_pose: 0.903748 loss: 0.000450 2022/09/27 02:26:19 - mmengine - INFO - Epoch(train) [192][150/586] lr: 5.000000e-05 eta: 1:17:51 time: 0.439498 data_time: 0.029117 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.870071 loss: 0.000458 2022/09/27 02:26:42 - mmengine - INFO - Epoch(train) [192][200/586] lr: 5.000000e-05 eta: 1:17:30 time: 0.448678 data_time: 0.031126 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.894102 loss: 0.000465 2022/09/27 02:27:04 - mmengine - INFO - Epoch(train) [192][250/586] lr: 5.000000e-05 eta: 1:17:09 time: 0.432970 data_time: 0.029598 memory: 14278 loss_kpt: 0.000469 acc_pose: 0.876597 loss: 0.000469 2022/09/27 02:27:26 - mmengine - INFO - Epoch(train) [192][300/586] lr: 5.000000e-05 eta: 1:16:48 time: 0.439559 data_time: 0.030615 memory: 14278 loss_kpt: 0.000477 acc_pose: 0.877242 loss: 0.000477 2022/09/27 02:27:47 - mmengine - INFO - Epoch(train) [192][350/586] lr: 5.000000e-05 eta: 1:16:26 time: 0.438197 data_time: 0.029688 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.875561 loss: 0.000464 2022/09/27 02:28:09 - mmengine - INFO - Epoch(train) [192][400/586] lr: 5.000000e-05 eta: 1:16:05 time: 0.439099 data_time: 0.030325 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.896229 loss: 0.000463 2022/09/27 02:28:32 - mmengine - INFO - Epoch(train) [192][450/586] lr: 5.000000e-05 eta: 1:15:44 time: 0.444692 data_time: 0.040923 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.926138 loss: 0.000454 2022/09/27 02:28:54 - mmengine - INFO - Epoch(train) [192][500/586] lr: 5.000000e-05 eta: 1:15:23 time: 0.441526 data_time: 0.030452 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.894666 loss: 0.000466 2022/09/27 02:29:17 - mmengine - INFO - Epoch(train) [192][550/586] lr: 5.000000e-05 eta: 1:15:02 time: 0.454487 data_time: 0.031890 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.870612 loss: 0.000467 2022/09/27 02:29:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:29:56 - mmengine - INFO - Epoch(train) [193][50/586] lr: 5.000000e-05 eta: 1:14:24 time: 0.466920 data_time: 0.038881 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.862052 loss: 0.000463 2022/09/27 02:30:18 - mmengine - INFO - Epoch(train) [193][100/586] lr: 5.000000e-05 eta: 1:14:03 time: 0.454472 data_time: 0.032638 memory: 14278 loss_kpt: 0.000441 acc_pose: 0.937927 loss: 0.000441 2022/09/27 02:30:40 - mmengine - INFO - Epoch(train) [193][150/586] lr: 5.000000e-05 eta: 1:13:42 time: 0.441214 data_time: 0.031006 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.868633 loss: 0.000454 2022/09/27 02:31:02 - mmengine - INFO - Epoch(train) [193][200/586] lr: 5.000000e-05 eta: 1:13:20 time: 0.428763 data_time: 0.028943 memory: 14278 loss_kpt: 0.000436 acc_pose: 0.906780 loss: 0.000436 2022/09/27 02:31:25 - mmengine - INFO - Epoch(train) [193][250/586] lr: 5.000000e-05 eta: 1:12:59 time: 0.465906 data_time: 0.034767 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.887549 loss: 0.000465 2022/09/27 02:31:47 - mmengine - INFO - Epoch(train) [193][300/586] lr: 5.000000e-05 eta: 1:12:38 time: 0.437544 data_time: 0.029921 memory: 14278 loss_kpt: 0.000445 acc_pose: 0.825432 loss: 0.000445 2022/09/27 02:32:11 - mmengine - INFO - Epoch(train) [193][350/586] lr: 5.000000e-05 eta: 1:12:17 time: 0.471021 data_time: 0.037215 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.903414 loss: 0.000453 2022/09/27 02:32:32 - mmengine - INFO - Epoch(train) [193][400/586] lr: 5.000000e-05 eta: 1:11:56 time: 0.434857 data_time: 0.029540 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.860968 loss: 0.000458 2022/09/27 02:32:55 - mmengine - INFO - Epoch(train) [193][450/586] lr: 5.000000e-05 eta: 1:11:35 time: 0.443415 data_time: 0.030453 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.858812 loss: 0.000466 2022/09/27 02:33:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:33:17 - mmengine - INFO - Epoch(train) [193][500/586] lr: 5.000000e-05 eta: 1:11:13 time: 0.439560 data_time: 0.034539 memory: 14278 loss_kpt: 0.000474 acc_pose: 0.882650 loss: 0.000474 2022/09/27 02:33:38 - mmengine - INFO - Epoch(train) [193][550/586] lr: 5.000000e-05 eta: 1:10:52 time: 0.433710 data_time: 0.028864 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.797365 loss: 0.000465 2022/09/27 02:33:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:34:18 - mmengine - INFO - Epoch(train) [194][50/586] lr: 5.000000e-05 eta: 1:10:14 time: 0.466248 data_time: 0.043482 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.848762 loss: 0.000455 2022/09/27 02:34:39 - mmengine - INFO - Epoch(train) [194][100/586] lr: 5.000000e-05 eta: 1:09:53 time: 0.435186 data_time: 0.030203 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.899965 loss: 0.000457 2022/09/27 02:35:01 - mmengine - INFO - Epoch(train) [194][150/586] lr: 5.000000e-05 eta: 1:09:32 time: 0.436029 data_time: 0.032871 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.923547 loss: 0.000462 2022/09/27 02:35:23 - mmengine - INFO - Epoch(train) [194][200/586] lr: 5.000000e-05 eta: 1:09:11 time: 0.434522 data_time: 0.031196 memory: 14278 loss_kpt: 0.000443 acc_pose: 0.893023 loss: 0.000443 2022/09/27 02:35:46 - mmengine - INFO - Epoch(train) [194][250/586] lr: 5.000000e-05 eta: 1:08:50 time: 0.456337 data_time: 0.030946 memory: 14278 loss_kpt: 0.000461 acc_pose: 0.895932 loss: 0.000461 2022/09/27 02:36:08 - mmengine - INFO - Epoch(train) [194][300/586] lr: 5.000000e-05 eta: 1:08:29 time: 0.450976 data_time: 0.028893 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.850271 loss: 0.000454 2022/09/27 02:36:31 - mmengine - INFO - Epoch(train) [194][350/586] lr: 5.000000e-05 eta: 1:08:07 time: 0.444642 data_time: 0.031500 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.798776 loss: 0.000462 2022/09/27 02:36:53 - mmengine - INFO - Epoch(train) [194][400/586] lr: 5.000000e-05 eta: 1:07:46 time: 0.454696 data_time: 0.031525 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.850127 loss: 0.000457 2022/09/27 02:37:15 - mmengine - INFO - Epoch(train) [194][450/586] lr: 5.000000e-05 eta: 1:07:25 time: 0.435178 data_time: 0.029344 memory: 14278 loss_kpt: 0.000468 acc_pose: 0.884339 loss: 0.000468 2022/09/27 02:37:37 - mmengine - INFO - Epoch(train) [194][500/586] lr: 5.000000e-05 eta: 1:07:04 time: 0.439676 data_time: 0.030587 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.904770 loss: 0.000454 2022/09/27 02:38:00 - mmengine - INFO - Epoch(train) [194][550/586] lr: 5.000000e-05 eta: 1:06:43 time: 0.464643 data_time: 0.032736 memory: 14278 loss_kpt: 0.000446 acc_pose: 0.892143 loss: 0.000446 2022/09/27 02:38:17 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:38:40 - mmengine - INFO - Epoch(train) [195][50/586] lr: 5.000000e-05 eta: 1:06:05 time: 0.452847 data_time: 0.047594 memory: 14278 loss_kpt: 0.000436 acc_pose: 0.897231 loss: 0.000436 2022/09/27 02:39:03 - mmengine - INFO - Epoch(train) [195][100/586] lr: 5.000000e-05 eta: 1:05:44 time: 0.457694 data_time: 0.033798 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.860181 loss: 0.000462 2022/09/27 02:39:26 - mmengine - INFO - Epoch(train) [195][150/586] lr: 5.000000e-05 eta: 1:05:23 time: 0.459343 data_time: 0.030430 memory: 14278 loss_kpt: 0.000472 acc_pose: 0.884601 loss: 0.000472 2022/09/27 02:39:48 - mmengine - INFO - Epoch(train) [195][200/586] lr: 5.000000e-05 eta: 1:05:02 time: 0.439242 data_time: 0.037846 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.871938 loss: 0.000449 2022/09/27 02:40:10 - mmengine - INFO - Epoch(train) [195][250/586] lr: 5.000000e-05 eta: 1:04:40 time: 0.453386 data_time: 0.033178 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.899819 loss: 0.000459 2022/09/27 02:40:32 - mmengine - INFO - Epoch(train) [195][300/586] lr: 5.000000e-05 eta: 1:04:19 time: 0.434446 data_time: 0.029930 memory: 14278 loss_kpt: 0.000469 acc_pose: 0.869948 loss: 0.000469 2022/09/27 02:40:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:40:54 - mmengine - INFO - Epoch(train) [195][350/586] lr: 5.000000e-05 eta: 1:03:58 time: 0.432961 data_time: 0.029800 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.881783 loss: 0.000455 2022/09/27 02:41:17 - mmengine - INFO - Epoch(train) [195][400/586] lr: 5.000000e-05 eta: 1:03:37 time: 0.466101 data_time: 0.028664 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.898870 loss: 0.000455 2022/09/27 02:41:40 - mmengine - INFO - Epoch(train) [195][450/586] lr: 5.000000e-05 eta: 1:03:16 time: 0.454662 data_time: 0.034726 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.907852 loss: 0.000447 2022/09/27 02:42:02 - mmengine - INFO - Epoch(train) [195][500/586] lr: 5.000000e-05 eta: 1:02:54 time: 0.442887 data_time: 0.030861 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.906645 loss: 0.000457 2022/09/27 02:42:25 - mmengine - INFO - Epoch(train) [195][550/586] lr: 5.000000e-05 eta: 1:02:33 time: 0.449145 data_time: 0.031377 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.890109 loss: 0.000455 2022/09/27 02:42:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:43:03 - mmengine - INFO - Epoch(train) [196][50/586] lr: 5.000000e-05 eta: 1:01:56 time: 0.447505 data_time: 0.039338 memory: 14278 loss_kpt: 0.000452 acc_pose: 0.853556 loss: 0.000452 2022/09/27 02:43:25 - mmengine - INFO - Epoch(train) [196][100/586] lr: 5.000000e-05 eta: 1:01:34 time: 0.439528 data_time: 0.034023 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.894754 loss: 0.000458 2022/09/27 02:43:47 - mmengine - INFO - Epoch(train) [196][150/586] lr: 5.000000e-05 eta: 1:01:13 time: 0.443266 data_time: 0.031527 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.863845 loss: 0.000457 2022/09/27 02:44:09 - mmengine - INFO - Epoch(train) [196][200/586] lr: 5.000000e-05 eta: 1:00:52 time: 0.447867 data_time: 0.033711 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.896506 loss: 0.000454 2022/09/27 02:44:32 - mmengine - INFO - Epoch(train) [196][250/586] lr: 5.000000e-05 eta: 1:00:31 time: 0.447475 data_time: 0.032090 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.877810 loss: 0.000457 2022/09/27 02:44:54 - mmengine - INFO - Epoch(train) [196][300/586] lr: 5.000000e-05 eta: 1:00:10 time: 0.436867 data_time: 0.031360 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.914003 loss: 0.000453 2022/09/27 02:45:16 - mmengine - INFO - Epoch(train) [196][350/586] lr: 5.000000e-05 eta: 0:59:48 time: 0.446215 data_time: 0.029407 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.866392 loss: 0.000456 2022/09/27 02:45:38 - mmengine - INFO - Epoch(train) [196][400/586] lr: 5.000000e-05 eta: 0:59:27 time: 0.445603 data_time: 0.031447 memory: 14278 loss_kpt: 0.000433 acc_pose: 0.858539 loss: 0.000433 2022/09/27 02:46:00 - mmengine - INFO - Epoch(train) [196][450/586] lr: 5.000000e-05 eta: 0:59:06 time: 0.435304 data_time: 0.029826 memory: 14278 loss_kpt: 0.000461 acc_pose: 0.905961 loss: 0.000461 2022/09/27 02:46:22 - mmengine - INFO - Epoch(train) [196][500/586] lr: 5.000000e-05 eta: 0:58:45 time: 0.439734 data_time: 0.030632 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.885408 loss: 0.000464 2022/09/27 02:46:44 - mmengine - INFO - Epoch(train) [196][550/586] lr: 5.000000e-05 eta: 0:58:24 time: 0.433111 data_time: 0.032055 memory: 14278 loss_kpt: 0.000443 acc_pose: 0.887609 loss: 0.000443 2022/09/27 02:46:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:47:22 - mmengine - INFO - Epoch(train) [197][50/586] lr: 5.000000e-05 eta: 0:57:46 time: 0.456580 data_time: 0.044640 memory: 14278 loss_kpt: 0.000452 acc_pose: 0.871393 loss: 0.000452 2022/09/27 02:47:44 - mmengine - INFO - Epoch(train) [197][100/586] lr: 5.000000e-05 eta: 0:57:25 time: 0.442047 data_time: 0.031653 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.923372 loss: 0.000447 2022/09/27 02:48:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:48:06 - mmengine - INFO - Epoch(train) [197][150/586] lr: 5.000000e-05 eta: 0:57:04 time: 0.437508 data_time: 0.029534 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.863176 loss: 0.000454 2022/09/27 02:48:29 - mmengine - INFO - Epoch(train) [197][200/586] lr: 5.000000e-05 eta: 0:56:42 time: 0.448770 data_time: 0.029235 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.888840 loss: 0.000463 2022/09/27 02:48:51 - mmengine - INFO - Epoch(train) [197][250/586] lr: 5.000000e-05 eta: 0:56:21 time: 0.444637 data_time: 0.031342 memory: 14278 loss_kpt: 0.000468 acc_pose: 0.851818 loss: 0.000468 2022/09/27 02:49:13 - mmengine - INFO - Epoch(train) [197][300/586] lr: 5.000000e-05 eta: 0:56:00 time: 0.440651 data_time: 0.030790 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.837912 loss: 0.000458 2022/09/27 02:49:35 - mmengine - INFO - Epoch(train) [197][350/586] lr: 5.000000e-05 eta: 0:55:39 time: 0.440778 data_time: 0.031837 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.878254 loss: 0.000462 2022/09/27 02:49:58 - mmengine - INFO - Epoch(train) [197][400/586] lr: 5.000000e-05 eta: 0:55:18 time: 0.457166 data_time: 0.029691 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.862709 loss: 0.000459 2022/09/27 02:50:20 - mmengine - INFO - Epoch(train) [197][450/586] lr: 5.000000e-05 eta: 0:54:56 time: 0.434781 data_time: 0.029421 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.865752 loss: 0.000454 2022/09/27 02:50:42 - mmengine - INFO - Epoch(train) [197][500/586] lr: 5.000000e-05 eta: 0:54:35 time: 0.440140 data_time: 0.029867 memory: 14278 loss_kpt: 0.000478 acc_pose: 0.891108 loss: 0.000478 2022/09/27 02:51:04 - mmengine - INFO - Epoch(train) [197][550/586] lr: 5.000000e-05 eta: 0:54:14 time: 0.448974 data_time: 0.040146 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.901208 loss: 0.000447 2022/09/27 02:51:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:51:43 - mmengine - INFO - Epoch(train) [198][50/586] lr: 5.000000e-05 eta: 0:53:37 time: 0.451149 data_time: 0.037998 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.882958 loss: 0.000467 2022/09/27 02:52:06 - mmengine - INFO - Epoch(train) [198][100/586] lr: 5.000000e-05 eta: 0:53:15 time: 0.456549 data_time: 0.034066 memory: 14278 loss_kpt: 0.000441 acc_pose: 0.900422 loss: 0.000441 2022/09/27 02:52:28 - mmengine - INFO - Epoch(train) [198][150/586] lr: 5.000000e-05 eta: 0:52:54 time: 0.433913 data_time: 0.031628 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.869428 loss: 0.000449 2022/09/27 02:52:50 - mmengine - INFO - Epoch(train) [198][200/586] lr: 5.000000e-05 eta: 0:52:33 time: 0.450990 data_time: 0.036195 memory: 14278 loss_kpt: 0.000461 acc_pose: 0.933482 loss: 0.000461 2022/09/27 02:53:13 - mmengine - INFO - Epoch(train) [198][250/586] lr: 5.000000e-05 eta: 0:52:12 time: 0.452952 data_time: 0.032842 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.885655 loss: 0.000462 2022/09/27 02:53:35 - mmengine - INFO - Epoch(train) [198][300/586] lr: 5.000000e-05 eta: 0:51:51 time: 0.434835 data_time: 0.035693 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.917138 loss: 0.000458 2022/09/27 02:53:56 - mmengine - INFO - Epoch(train) [198][350/586] lr: 5.000000e-05 eta: 0:51:29 time: 0.435471 data_time: 0.029103 memory: 14278 loss_kpt: 0.000471 acc_pose: 0.867322 loss: 0.000471 2022/09/27 02:54:19 - mmengine - INFO - Epoch(train) [198][400/586] lr: 5.000000e-05 eta: 0:51:08 time: 0.451677 data_time: 0.030228 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.931331 loss: 0.000455 2022/09/27 02:54:42 - mmengine - INFO - Epoch(train) [198][450/586] lr: 5.000000e-05 eta: 0:50:47 time: 0.455900 data_time: 0.038213 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.918211 loss: 0.000458 2022/09/27 02:55:19 - mmengine - INFO - Epoch(train) [198][500/586] lr: 5.000000e-05 eta: 0:50:27 time: 0.740247 data_time: 0.033242 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.944684 loss: 0.000464 2022/09/27 02:55:40 - mmengine - INFO - Epoch(train) [198][550/586] lr: 5.000000e-05 eta: 0:50:06 time: 0.433252 data_time: 0.029346 memory: 14278 loss_kpt: 0.000468 acc_pose: 0.900807 loss: 0.000468 2022/09/27 02:55:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:55:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 02:56:20 - mmengine - INFO - Epoch(train) [199][50/586] lr: 5.000000e-05 eta: 0:49:28 time: 0.475373 data_time: 0.050878 memory: 14278 loss_kpt: 0.000446 acc_pose: 0.846880 loss: 0.000446 2022/09/27 02:57:00 - mmengine - INFO - Epoch(train) [199][100/586] lr: 5.000000e-05 eta: 0:49:08 time: 0.798661 data_time: 0.067014 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.873989 loss: 0.000447 2022/09/27 02:57:24 - mmengine - INFO - Epoch(train) [199][150/586] lr: 5.000000e-05 eta: 0:48:47 time: 0.463491 data_time: 0.032094 memory: 14278 loss_kpt: 0.000448 acc_pose: 0.905460 loss: 0.000448 2022/09/27 02:57:46 - mmengine - INFO - Epoch(train) [199][200/586] lr: 5.000000e-05 eta: 0:48:26 time: 0.452221 data_time: 0.031057 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.922449 loss: 0.000464 2022/09/27 02:58:08 - mmengine - INFO - Epoch(train) [199][250/586] lr: 5.000000e-05 eta: 0:48:05 time: 0.445428 data_time: 0.030852 memory: 14278 loss_kpt: 0.000445 acc_pose: 0.868506 loss: 0.000445 2022/09/27 02:58:30 - mmengine - INFO - Epoch(train) [199][300/586] lr: 5.000000e-05 eta: 0:47:43 time: 0.435158 data_time: 0.030054 memory: 14278 loss_kpt: 0.000473 acc_pose: 0.911714 loss: 0.000473 2022/09/27 02:58:52 - mmengine - INFO - Epoch(train) [199][350/586] lr: 5.000000e-05 eta: 0:47:22 time: 0.441893 data_time: 0.031381 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.931957 loss: 0.000460 2022/09/27 02:59:15 - mmengine - INFO - Epoch(train) [199][400/586] lr: 5.000000e-05 eta: 0:47:01 time: 0.448935 data_time: 0.038082 memory: 14278 loss_kpt: 0.000446 acc_pose: 0.897910 loss: 0.000446 2022/09/27 02:59:36 - mmengine - INFO - Epoch(train) [199][450/586] lr: 5.000000e-05 eta: 0:46:40 time: 0.428721 data_time: 0.029589 memory: 14278 loss_kpt: 0.000451 acc_pose: 0.891729 loss: 0.000451 2022/09/27 02:59:59 - mmengine - INFO - Epoch(train) [199][500/586] lr: 5.000000e-05 eta: 0:46:18 time: 0.454989 data_time: 0.030914 memory: 14278 loss_kpt: 0.000448 acc_pose: 0.926528 loss: 0.000448 2022/09/27 03:00:21 - mmengine - INFO - Epoch(train) [199][550/586] lr: 5.000000e-05 eta: 0:45:57 time: 0.432999 data_time: 0.029253 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.834106 loss: 0.000454 2022/09/27 03:00:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:00:59 - mmengine - INFO - Epoch(train) [200][50/586] lr: 5.000000e-05 eta: 0:45:20 time: 0.456376 data_time: 0.039552 memory: 14278 loss_kpt: 0.000442 acc_pose: 0.905739 loss: 0.000442 2022/09/27 03:01:22 - mmengine - INFO - Epoch(train) [200][100/586] lr: 5.000000e-05 eta: 0:44:59 time: 0.446098 data_time: 0.030327 memory: 14278 loss_kpt: 0.000452 acc_pose: 0.868614 loss: 0.000452 2022/09/27 03:01:43 - mmengine - INFO - Epoch(train) [200][150/586] lr: 5.000000e-05 eta: 0:44:37 time: 0.435431 data_time: 0.032644 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.889395 loss: 0.000455 2022/09/27 03:02:05 - mmengine - INFO - Epoch(train) [200][200/586] lr: 5.000000e-05 eta: 0:44:16 time: 0.438445 data_time: 0.031445 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.816092 loss: 0.000464 2022/09/27 03:02:28 - mmengine - INFO - Epoch(train) [200][250/586] lr: 5.000000e-05 eta: 0:43:55 time: 0.448556 data_time: 0.030895 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.912242 loss: 0.000456 2022/09/27 03:02:51 - mmengine - INFO - Epoch(train) [200][300/586] lr: 5.000000e-05 eta: 0:43:34 time: 0.461615 data_time: 0.038084 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.921935 loss: 0.000457 2022/09/27 03:03:13 - mmengine - INFO - Epoch(train) [200][350/586] lr: 5.000000e-05 eta: 0:43:13 time: 0.453392 data_time: 0.029164 memory: 14278 loss_kpt: 0.000461 acc_pose: 0.773394 loss: 0.000461 2022/09/27 03:03:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:03:37 - mmengine - INFO - Epoch(train) [200][400/586] lr: 5.000000e-05 eta: 0:42:51 time: 0.463403 data_time: 0.035734 memory: 14278 loss_kpt: 0.000466 acc_pose: 0.945515 loss: 0.000466 2022/09/27 03:03:59 - mmengine - INFO - Epoch(train) [200][450/586] lr: 5.000000e-05 eta: 0:42:30 time: 0.438807 data_time: 0.030888 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.899048 loss: 0.000459 2022/09/27 03:04:21 - mmengine - INFO - Epoch(train) [200][500/586] lr: 5.000000e-05 eta: 0:42:09 time: 0.453360 data_time: 0.031301 memory: 14278 loss_kpt: 0.000451 acc_pose: 0.932421 loss: 0.000451 2022/09/27 03:04:44 - mmengine - INFO - Epoch(train) [200][550/586] lr: 5.000000e-05 eta: 0:41:48 time: 0.446531 data_time: 0.036300 memory: 14278 loss_kpt: 0.000468 acc_pose: 0.892741 loss: 0.000468 2022/09/27 03:04:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:04:59 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/09/27 03:05:25 - mmengine - INFO - Epoch(val) [200][50/407] eta: 0:02:03 time: 0.345428 data_time: 0.111026 memory: 14278 2022/09/27 03:05:43 - mmengine - INFO - Epoch(val) [200][100/407] eta: 0:01:46 time: 0.345560 data_time: 0.106906 memory: 2124 2022/09/27 03:06:00 - mmengine - INFO - Epoch(val) [200][150/407] eta: 0:01:27 time: 0.339330 data_time: 0.107003 memory: 2124 2022/09/27 03:06:15 - mmengine - INFO - Epoch(val) [200][200/407] eta: 0:01:05 time: 0.316291 data_time: 0.080966 memory: 2124 2022/09/27 03:06:32 - mmengine - INFO - Epoch(val) [200][250/407] eta: 0:00:51 time: 0.326404 data_time: 0.086785 memory: 2124 2022/09/27 03:06:48 - mmengine - INFO - Epoch(val) [200][300/407] eta: 0:00:35 time: 0.328868 data_time: 0.099163 memory: 2124 2022/09/27 03:07:06 - mmengine - INFO - Epoch(val) [200][350/407] eta: 0:00:20 time: 0.357396 data_time: 0.112304 memory: 2124 2022/09/27 03:07:17 - mmengine - INFO - Epoch(val) [200][400/407] eta: 0:00:01 time: 0.228255 data_time: 0.058223 memory: 2124 2022/09/27 03:07:50 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 03:08:02 - mmengine - INFO - Epoch(val) [200][407/407] coco/AP: 0.749879 coco/AP .5: 0.906056 coco/AP .75: 0.823170 coco/AP (M): 0.709953 coco/AP (L): 0.821224 coco/AR: 0.801259 coco/AR .5: 0.941751 coco/AR .75: 0.865239 coco/AR (M): 0.756433 coco/AR (L): 0.865961 2022/09/27 03:08:27 - mmengine - INFO - Epoch(train) [201][50/586] lr: 5.000000e-06 eta: 0:41:11 time: 0.482552 data_time: 0.041245 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.875204 loss: 0.000462 2022/09/27 03:08:49 - mmengine - INFO - Epoch(train) [201][100/586] lr: 5.000000e-06 eta: 0:40:49 time: 0.445371 data_time: 0.032718 memory: 14278 loss_kpt: 0.000440 acc_pose: 0.881166 loss: 0.000440 2022/09/27 03:09:11 - mmengine - INFO - Epoch(train) [201][150/586] lr: 5.000000e-06 eta: 0:40:28 time: 0.437043 data_time: 0.031452 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.915865 loss: 0.000467 2022/09/27 03:09:33 - mmengine - INFO - Epoch(train) [201][200/586] lr: 5.000000e-06 eta: 0:40:07 time: 0.451387 data_time: 0.030122 memory: 14278 loss_kpt: 0.000442 acc_pose: 0.893900 loss: 0.000442 2022/09/27 03:09:56 - mmengine - INFO - Epoch(train) [201][250/586] lr: 5.000000e-06 eta: 0:39:46 time: 0.452517 data_time: 0.029883 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.922268 loss: 0.000463 2022/09/27 03:10:18 - mmengine - INFO - Epoch(train) [201][300/586] lr: 5.000000e-06 eta: 0:39:24 time: 0.439679 data_time: 0.037934 memory: 14278 loss_kpt: 0.000452 acc_pose: 0.887985 loss: 0.000452 2022/09/27 03:10:40 - mmengine - INFO - Epoch(train) [201][350/586] lr: 5.000000e-06 eta: 0:39:03 time: 0.440610 data_time: 0.031186 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.901850 loss: 0.000459 2022/09/27 03:11:02 - mmengine - INFO - Epoch(train) [201][400/586] lr: 5.000000e-06 eta: 0:38:42 time: 0.442966 data_time: 0.033886 memory: 14278 loss_kpt: 0.000440 acc_pose: 0.755663 loss: 0.000440 2022/09/27 03:11:24 - mmengine - INFO - Epoch(train) [201][450/586] lr: 5.000000e-06 eta: 0:38:21 time: 0.436160 data_time: 0.029893 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.866926 loss: 0.000454 2022/09/27 03:11:47 - mmengine - INFO - Epoch(train) [201][500/586] lr: 5.000000e-06 eta: 0:38:00 time: 0.465009 data_time: 0.034168 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.859916 loss: 0.000449 2022/09/27 03:12:09 - mmengine - INFO - Epoch(train) [201][550/586] lr: 5.000000e-06 eta: 0:37:38 time: 0.440506 data_time: 0.030235 memory: 14278 loss_kpt: 0.000452 acc_pose: 0.944758 loss: 0.000452 2022/09/27 03:12:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:12:48 - mmengine - INFO - Epoch(train) [202][50/586] lr: 5.000000e-06 eta: 0:37:01 time: 0.449681 data_time: 0.038750 memory: 14278 loss_kpt: 0.000470 acc_pose: 0.907499 loss: 0.000470 2022/09/27 03:13:09 - mmengine - INFO - Epoch(train) [202][100/586] lr: 5.000000e-06 eta: 0:36:40 time: 0.433072 data_time: 0.031198 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.877432 loss: 0.000453 2022/09/27 03:13:31 - mmengine - INFO - Epoch(train) [202][150/586] lr: 5.000000e-06 eta: 0:36:19 time: 0.444380 data_time: 0.030635 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.900286 loss: 0.000455 2022/09/27 03:13:53 - mmengine - INFO - Epoch(train) [202][200/586] lr: 5.000000e-06 eta: 0:35:57 time: 0.434580 data_time: 0.029143 memory: 14278 loss_kpt: 0.000438 acc_pose: 0.901861 loss: 0.000438 2022/09/27 03:13:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:14:15 - mmengine - INFO - Epoch(train) [202][250/586] lr: 5.000000e-06 eta: 0:35:36 time: 0.439619 data_time: 0.032886 memory: 14278 loss_kpt: 0.000443 acc_pose: 0.873309 loss: 0.000443 2022/09/27 03:14:37 - mmengine - INFO - Epoch(train) [202][300/586] lr: 5.000000e-06 eta: 0:35:15 time: 0.433734 data_time: 0.028655 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.928602 loss: 0.000447 2022/09/27 03:14:59 - mmengine - INFO - Epoch(train) [202][350/586] lr: 5.000000e-06 eta: 0:34:54 time: 0.445890 data_time: 0.031790 memory: 14278 loss_kpt: 0.000446 acc_pose: 0.895319 loss: 0.000446 2022/09/27 03:15:22 - mmengine - INFO - Epoch(train) [202][400/586] lr: 5.000000e-06 eta: 0:34:32 time: 0.450964 data_time: 0.030733 memory: 14278 loss_kpt: 0.000451 acc_pose: 0.917798 loss: 0.000451 2022/09/27 03:15:44 - mmengine - INFO - Epoch(train) [202][450/586] lr: 5.000000e-06 eta: 0:34:11 time: 0.444643 data_time: 0.028940 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.898772 loss: 0.000459 2022/09/27 03:16:06 - mmengine - INFO - Epoch(train) [202][500/586] lr: 5.000000e-06 eta: 0:33:50 time: 0.442670 data_time: 0.032171 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.898709 loss: 0.000453 2022/09/27 03:16:28 - mmengine - INFO - Epoch(train) [202][550/586] lr: 5.000000e-06 eta: 0:33:29 time: 0.434722 data_time: 0.030350 memory: 14278 loss_kpt: 0.000451 acc_pose: 0.913412 loss: 0.000451 2022/09/27 03:16:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:17:06 - mmengine - INFO - Epoch(train) [203][50/586] lr: 5.000000e-06 eta: 0:32:52 time: 0.455625 data_time: 0.040736 memory: 14278 loss_kpt: 0.000469 acc_pose: 0.830957 loss: 0.000469 2022/09/27 03:17:29 - mmengine - INFO - Epoch(train) [203][100/586] lr: 5.000000e-06 eta: 0:32:30 time: 0.456518 data_time: 0.030371 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.924271 loss: 0.000447 2022/09/27 03:17:51 - mmengine - INFO - Epoch(train) [203][150/586] lr: 5.000000e-06 eta: 0:32:09 time: 0.435541 data_time: 0.028800 memory: 14278 loss_kpt: 0.000452 acc_pose: 0.885507 loss: 0.000452 2022/09/27 03:18:13 - mmengine - INFO - Epoch(train) [203][200/586] lr: 5.000000e-06 eta: 0:31:48 time: 0.438593 data_time: 0.030779 memory: 14278 loss_kpt: 0.000442 acc_pose: 0.871958 loss: 0.000442 2022/09/27 03:18:36 - mmengine - INFO - Epoch(train) [203][250/586] lr: 5.000000e-06 eta: 0:31:27 time: 0.454331 data_time: 0.029197 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.867075 loss: 0.000465 2022/09/27 03:18:57 - mmengine - INFO - Epoch(train) [203][300/586] lr: 5.000000e-06 eta: 0:31:06 time: 0.433892 data_time: 0.029371 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.872970 loss: 0.000460 2022/09/27 03:19:20 - mmengine - INFO - Epoch(train) [203][350/586] lr: 5.000000e-06 eta: 0:30:44 time: 0.448749 data_time: 0.030370 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.859077 loss: 0.000453 2022/09/27 03:19:42 - mmengine - INFO - Epoch(train) [203][400/586] lr: 5.000000e-06 eta: 0:30:23 time: 0.452436 data_time: 0.029667 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.908740 loss: 0.000447 2022/09/27 03:20:04 - mmengine - INFO - Epoch(train) [203][450/586] lr: 5.000000e-06 eta: 0:30:02 time: 0.439541 data_time: 0.031426 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.903990 loss: 0.000447 2022/09/27 03:20:26 - mmengine - INFO - Epoch(train) [203][500/586] lr: 5.000000e-06 eta: 0:29:41 time: 0.436600 data_time: 0.031067 memory: 14278 loss_kpt: 0.000448 acc_pose: 0.902321 loss: 0.000448 2022/09/27 03:20:48 - mmengine - INFO - Epoch(train) [203][550/586] lr: 5.000000e-06 eta: 0:29:19 time: 0.438376 data_time: 0.031144 memory: 14278 loss_kpt: 0.000467 acc_pose: 0.923210 loss: 0.000467 2022/09/27 03:21:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:21:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:21:28 - mmengine - INFO - Epoch(train) [204][50/586] lr: 5.000000e-06 eta: 0:28:42 time: 0.464102 data_time: 0.048231 memory: 14278 loss_kpt: 0.000442 acc_pose: 0.923523 loss: 0.000442 2022/09/27 03:21:50 - mmengine - INFO - Epoch(train) [204][100/586] lr: 5.000000e-06 eta: 0:28:21 time: 0.442504 data_time: 0.032174 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.856700 loss: 0.000447 2022/09/27 03:22:12 - mmengine - INFO - Epoch(train) [204][150/586] lr: 5.000000e-06 eta: 0:28:00 time: 0.433022 data_time: 0.030051 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.880332 loss: 0.000458 2022/09/27 03:22:34 - mmengine - INFO - Epoch(train) [204][200/586] lr: 5.000000e-06 eta: 0:27:39 time: 0.440385 data_time: 0.031636 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.882047 loss: 0.000460 2022/09/27 03:22:56 - mmengine - INFO - Epoch(train) [204][250/586] lr: 5.000000e-06 eta: 0:27:17 time: 0.454073 data_time: 0.030009 memory: 14278 loss_kpt: 0.000450 acc_pose: 0.850111 loss: 0.000450 2022/09/27 03:23:18 - mmengine - INFO - Epoch(train) [204][300/586] lr: 5.000000e-06 eta: 0:26:56 time: 0.436810 data_time: 0.037146 memory: 14278 loss_kpt: 0.000439 acc_pose: 0.847465 loss: 0.000439 2022/09/27 03:23:41 - mmengine - INFO - Epoch(train) [204][350/586] lr: 5.000000e-06 eta: 0:26:35 time: 0.455133 data_time: 0.030021 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.926716 loss: 0.000454 2022/09/27 03:24:03 - mmengine - INFO - Epoch(train) [204][400/586] lr: 5.000000e-06 eta: 0:26:14 time: 0.440043 data_time: 0.031477 memory: 14278 loss_kpt: 0.000441 acc_pose: 0.890563 loss: 0.000441 2022/09/27 03:24:25 - mmengine - INFO - Epoch(train) [204][450/586] lr: 5.000000e-06 eta: 0:25:52 time: 0.434748 data_time: 0.030836 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.877714 loss: 0.000457 2022/09/27 03:24:48 - mmengine - INFO - Epoch(train) [204][500/586] lr: 5.000000e-06 eta: 0:25:31 time: 0.457392 data_time: 0.029998 memory: 14278 loss_kpt: 0.000450 acc_pose: 0.887140 loss: 0.000450 2022/09/27 03:25:10 - mmengine - INFO - Epoch(train) [204][550/586] lr: 5.000000e-06 eta: 0:25:10 time: 0.439431 data_time: 0.032028 memory: 14278 loss_kpt: 0.000444 acc_pose: 0.829875 loss: 0.000444 2022/09/27 03:25:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:25:47 - mmengine - INFO - Epoch(train) [205][50/586] lr: 5.000000e-06 eta: 0:24:33 time: 0.446997 data_time: 0.040122 memory: 14278 loss_kpt: 0.000440 acc_pose: 0.874460 loss: 0.000440 2022/09/27 03:26:10 - mmengine - INFO - Epoch(train) [205][100/586] lr: 5.000000e-06 eta: 0:24:12 time: 0.445479 data_time: 0.037119 memory: 14278 loss_kpt: 0.000438 acc_pose: 0.907980 loss: 0.000438 2022/09/27 03:26:32 - mmengine - INFO - Epoch(train) [205][150/586] lr: 5.000000e-06 eta: 0:23:51 time: 0.450577 data_time: 0.030609 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.942269 loss: 0.000455 2022/09/27 03:26:55 - mmengine - INFO - Epoch(train) [205][200/586] lr: 5.000000e-06 eta: 0:23:29 time: 0.461500 data_time: 0.031856 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.926193 loss: 0.000447 2022/09/27 03:27:18 - mmengine - INFO - Epoch(train) [205][250/586] lr: 5.000000e-06 eta: 0:23:08 time: 0.445585 data_time: 0.029667 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.901760 loss: 0.000455 2022/09/27 03:27:40 - mmengine - INFO - Epoch(train) [205][300/586] lr: 5.000000e-06 eta: 0:22:47 time: 0.440160 data_time: 0.032975 memory: 14278 loss_kpt: 0.000452 acc_pose: 0.922888 loss: 0.000452 2022/09/27 03:28:02 - mmengine - INFO - Epoch(train) [205][350/586] lr: 5.000000e-06 eta: 0:22:26 time: 0.442096 data_time: 0.033146 memory: 14278 loss_kpt: 0.000448 acc_pose: 0.894924 loss: 0.000448 2022/09/27 03:28:24 - mmengine - INFO - Epoch(train) [205][400/586] lr: 5.000000e-06 eta: 0:22:04 time: 0.449667 data_time: 0.031974 memory: 14278 loss_kpt: 0.000446 acc_pose: 0.917005 loss: 0.000446 2022/09/27 03:28:47 - mmengine - INFO - Epoch(train) [205][450/586] lr: 5.000000e-06 eta: 0:21:43 time: 0.450271 data_time: 0.038016 memory: 14278 loss_kpt: 0.000477 acc_pose: 0.876805 loss: 0.000477 2022/09/27 03:28:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:29:09 - mmengine - INFO - Epoch(train) [205][500/586] lr: 5.000000e-06 eta: 0:21:22 time: 0.433960 data_time: 0.031008 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.926513 loss: 0.000449 2022/09/27 03:29:30 - mmengine - INFO - Epoch(train) [205][550/586] lr: 5.000000e-06 eta: 0:21:01 time: 0.436329 data_time: 0.030242 memory: 14278 loss_kpt: 0.000441 acc_pose: 0.915364 loss: 0.000441 2022/09/27 03:29:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:30:08 - mmengine - INFO - Epoch(train) [206][50/586] lr: 5.000000e-06 eta: 0:20:24 time: 0.446870 data_time: 0.039099 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.896393 loss: 0.000460 2022/09/27 03:30:31 - mmengine - INFO - Epoch(train) [206][100/586] lr: 5.000000e-06 eta: 0:20:03 time: 0.448979 data_time: 0.034183 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.892483 loss: 0.000449 2022/09/27 03:30:53 - mmengine - INFO - Epoch(train) [206][150/586] lr: 5.000000e-06 eta: 0:19:41 time: 0.436828 data_time: 0.030240 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.920230 loss: 0.000465 2022/09/27 03:31:14 - mmengine - INFO - Epoch(train) [206][200/586] lr: 5.000000e-06 eta: 0:19:20 time: 0.431312 data_time: 0.032885 memory: 14278 loss_kpt: 0.000448 acc_pose: 0.867744 loss: 0.000448 2022/09/27 03:31:37 - mmengine - INFO - Epoch(train) [206][250/586] lr: 5.000000e-06 eta: 0:18:59 time: 0.448314 data_time: 0.029029 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.838817 loss: 0.000459 2022/09/27 03:31:59 - mmengine - INFO - Epoch(train) [206][300/586] lr: 5.000000e-06 eta: 0:18:38 time: 0.450597 data_time: 0.030383 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.900257 loss: 0.000447 2022/09/27 03:32:21 - mmengine - INFO - Epoch(train) [206][350/586] lr: 5.000000e-06 eta: 0:18:16 time: 0.438711 data_time: 0.031077 memory: 14278 loss_kpt: 0.000450 acc_pose: 0.903024 loss: 0.000450 2022/09/27 03:32:43 - mmengine - INFO - Epoch(train) [206][400/586] lr: 5.000000e-06 eta: 0:17:55 time: 0.440095 data_time: 0.030029 memory: 14278 loss_kpt: 0.000470 acc_pose: 0.941104 loss: 0.000470 2022/09/27 03:33:05 - mmengine - INFO - Epoch(train) [206][450/586] lr: 5.000000e-06 eta: 0:17:34 time: 0.437995 data_time: 0.029821 memory: 14278 loss_kpt: 0.000442 acc_pose: 0.927807 loss: 0.000442 2022/09/27 03:33:27 - mmengine - INFO - Epoch(train) [206][500/586] lr: 5.000000e-06 eta: 0:17:13 time: 0.443895 data_time: 0.030044 memory: 14278 loss_kpt: 0.000458 acc_pose: 0.888772 loss: 0.000458 2022/09/27 03:33:50 - mmengine - INFO - Epoch(train) [206][550/586] lr: 5.000000e-06 eta: 0:16:51 time: 0.455275 data_time: 0.031375 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.914554 loss: 0.000457 2022/09/27 03:34:06 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:34:29 - mmengine - INFO - Epoch(train) [207][50/586] lr: 5.000000e-06 eta: 0:16:15 time: 0.472726 data_time: 0.049846 memory: 14278 loss_kpt: 0.000444 acc_pose: 0.898130 loss: 0.000444 2022/09/27 03:34:51 - mmengine - INFO - Epoch(train) [207][100/586] lr: 5.000000e-06 eta: 0:15:53 time: 0.440374 data_time: 0.034234 memory: 14278 loss_kpt: 0.000446 acc_pose: 0.920622 loss: 0.000446 2022/09/27 03:35:13 - mmengine - INFO - Epoch(train) [207][150/586] lr: 5.000000e-06 eta: 0:15:32 time: 0.435027 data_time: 0.034651 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.875081 loss: 0.000457 2022/09/27 03:35:36 - mmengine - INFO - Epoch(train) [207][200/586] lr: 5.000000e-06 eta: 0:15:11 time: 0.451666 data_time: 0.029281 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.910948 loss: 0.000453 2022/09/27 03:35:58 - mmengine - INFO - Epoch(train) [207][250/586] lr: 5.000000e-06 eta: 0:14:50 time: 0.445042 data_time: 0.030986 memory: 14278 loss_kpt: 0.000445 acc_pose: 0.911136 loss: 0.000445 2022/09/27 03:36:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:36:21 - mmengine - INFO - Epoch(train) [207][300/586] lr: 5.000000e-06 eta: 0:14:28 time: 0.460836 data_time: 0.039120 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.890029 loss: 0.000464 2022/09/27 03:36:43 - mmengine - INFO - Epoch(train) [207][350/586] lr: 5.000000e-06 eta: 0:14:07 time: 0.429613 data_time: 0.029731 memory: 14278 loss_kpt: 0.000445 acc_pose: 0.852241 loss: 0.000445 2022/09/27 03:37:05 - mmengine - INFO - Epoch(train) [207][400/586] lr: 5.000000e-06 eta: 0:13:46 time: 0.446901 data_time: 0.029924 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.932455 loss: 0.000455 2022/09/27 03:37:27 - mmengine - INFO - Epoch(train) [207][450/586] lr: 5.000000e-06 eta: 0:13:25 time: 0.437269 data_time: 0.030209 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.892297 loss: 0.000456 2022/09/27 03:37:49 - mmengine - INFO - Epoch(train) [207][500/586] lr: 5.000000e-06 eta: 0:13:03 time: 0.441552 data_time: 0.030086 memory: 14278 loss_kpt: 0.000448 acc_pose: 0.916288 loss: 0.000448 2022/09/27 03:38:11 - mmengine - INFO - Epoch(train) [207][550/586] lr: 5.000000e-06 eta: 0:12:42 time: 0.443586 data_time: 0.037958 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.898762 loss: 0.000456 2022/09/27 03:38:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:38:49 - mmengine - INFO - Epoch(train) [208][50/586] lr: 5.000000e-06 eta: 0:12:05 time: 0.451688 data_time: 0.038254 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.930926 loss: 0.000453 2022/09/27 03:39:11 - mmengine - INFO - Epoch(train) [208][100/586] lr: 5.000000e-06 eta: 0:11:44 time: 0.435647 data_time: 0.031177 memory: 14278 loss_kpt: 0.000451 acc_pose: 0.934589 loss: 0.000451 2022/09/27 03:39:34 - mmengine - INFO - Epoch(train) [208][150/586] lr: 5.000000e-06 eta: 0:11:23 time: 0.445529 data_time: 0.029772 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.898644 loss: 0.000457 2022/09/27 03:39:56 - mmengine - INFO - Epoch(train) [208][200/586] lr: 5.000000e-06 eta: 0:11:02 time: 0.445429 data_time: 0.033740 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.907549 loss: 0.000459 2022/09/27 03:40:18 - mmengine - INFO - Epoch(train) [208][250/586] lr: 5.000000e-06 eta: 0:10:40 time: 0.437413 data_time: 0.030216 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.881908 loss: 0.000447 2022/09/27 03:40:40 - mmengine - INFO - Epoch(train) [208][300/586] lr: 5.000000e-06 eta: 0:10:19 time: 0.445197 data_time: 0.030906 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.938522 loss: 0.000449 2022/09/27 03:41:02 - mmengine - INFO - Epoch(train) [208][350/586] lr: 5.000000e-06 eta: 0:09:58 time: 0.438237 data_time: 0.031009 memory: 14278 loss_kpt: 0.000465 acc_pose: 0.901579 loss: 0.000465 2022/09/27 03:41:25 - mmengine - INFO - Epoch(train) [208][400/586] lr: 5.000000e-06 eta: 0:09:37 time: 0.450846 data_time: 0.031714 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.904157 loss: 0.000454 2022/09/27 03:41:47 - mmengine - INFO - Epoch(train) [208][450/586] lr: 5.000000e-06 eta: 0:09:16 time: 0.444703 data_time: 0.030445 memory: 14278 loss_kpt: 0.000455 acc_pose: 0.867230 loss: 0.000455 2022/09/27 03:42:09 - mmengine - INFO - Epoch(train) [208][500/586] lr: 5.000000e-06 eta: 0:08:54 time: 0.448458 data_time: 0.030039 memory: 14278 loss_kpt: 0.000470 acc_pose: 0.845973 loss: 0.000470 2022/09/27 03:42:31 - mmengine - INFO - Epoch(train) [208][550/586] lr: 5.000000e-06 eta: 0:08:33 time: 0.434500 data_time: 0.031826 memory: 14278 loss_kpt: 0.000449 acc_pose: 0.922082 loss: 0.000449 2022/09/27 03:42:47 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:43:09 - mmengine - INFO - Epoch(train) [209][50/586] lr: 5.000000e-06 eta: 0:07:56 time: 0.452025 data_time: 0.038857 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.921928 loss: 0.000453 2022/09/27 03:43:31 - mmengine - INFO - Epoch(train) [209][100/586] lr: 5.000000e-06 eta: 0:07:35 time: 0.445545 data_time: 0.036830 memory: 14278 loss_kpt: 0.000464 acc_pose: 0.841825 loss: 0.000464 2022/09/27 03:43:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:43:54 - mmengine - INFO - Epoch(train) [209][150/586] lr: 5.000000e-06 eta: 0:07:14 time: 0.444114 data_time: 0.030090 memory: 14278 loss_kpt: 0.000447 acc_pose: 0.905542 loss: 0.000447 2022/09/27 03:44:16 - mmengine - INFO - Epoch(train) [209][200/586] lr: 5.000000e-06 eta: 0:06:53 time: 0.442076 data_time: 0.035092 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.902526 loss: 0.000460 2022/09/27 03:44:38 - mmengine - INFO - Epoch(train) [209][250/586] lr: 5.000000e-06 eta: 0:06:31 time: 0.443047 data_time: 0.031071 memory: 14278 loss_kpt: 0.000463 acc_pose: 0.890929 loss: 0.000463 2022/09/27 03:45:00 - mmengine - INFO - Epoch(train) [209][300/586] lr: 5.000000e-06 eta: 0:06:10 time: 0.439373 data_time: 0.030911 memory: 14278 loss_kpt: 0.000444 acc_pose: 0.903921 loss: 0.000444 2022/09/27 03:45:22 - mmengine - INFO - Epoch(train) [209][350/586] lr: 5.000000e-06 eta: 0:05:49 time: 0.441184 data_time: 0.036427 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.895050 loss: 0.000459 2022/09/27 03:45:44 - mmengine - INFO - Epoch(train) [209][400/586] lr: 5.000000e-06 eta: 0:05:28 time: 0.444581 data_time: 0.033064 memory: 14278 loss_kpt: 0.000459 acc_pose: 0.910503 loss: 0.000459 2022/09/27 03:46:06 - mmengine - INFO - Epoch(train) [209][450/586] lr: 5.000000e-06 eta: 0:05:06 time: 0.430781 data_time: 0.032229 memory: 14278 loss_kpt: 0.000462 acc_pose: 0.830828 loss: 0.000462 2022/09/27 03:46:28 - mmengine - INFO - Epoch(train) [209][500/586] lr: 5.000000e-06 eta: 0:04:45 time: 0.433113 data_time: 0.031278 memory: 14278 loss_kpt: 0.000450 acc_pose: 0.930270 loss: 0.000450 2022/09/27 03:46:49 - mmengine - INFO - Epoch(train) [209][550/586] lr: 5.000000e-06 eta: 0:04:24 time: 0.437680 data_time: 0.029768 memory: 14278 loss_kpt: 0.000457 acc_pose: 0.945554 loss: 0.000457 2022/09/27 03:47:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:47:28 - mmengine - INFO - Epoch(train) [210][50/586] lr: 5.000000e-06 eta: 0:03:47 time: 0.465989 data_time: 0.043992 memory: 14278 loss_kpt: 0.000448 acc_pose: 0.867959 loss: 0.000448 2022/09/27 03:47:51 - mmengine - INFO - Epoch(train) [210][100/586] lr: 5.000000e-06 eta: 0:03:26 time: 0.448485 data_time: 0.028900 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.928491 loss: 0.000454 2022/09/27 03:48:13 - mmengine - INFO - Epoch(train) [210][150/586] lr: 5.000000e-06 eta: 0:03:05 time: 0.442002 data_time: 0.030422 memory: 14278 loss_kpt: 0.000445 acc_pose: 0.898323 loss: 0.000445 2022/09/27 03:48:35 - mmengine - INFO - Epoch(train) [210][200/586] lr: 5.000000e-06 eta: 0:02:44 time: 0.437750 data_time: 0.034681 memory: 14278 loss_kpt: 0.000450 acc_pose: 0.866697 loss: 0.000450 2022/09/27 03:48:58 - mmengine - INFO - Epoch(train) [210][250/586] lr: 5.000000e-06 eta: 0:02:22 time: 0.455259 data_time: 0.031045 memory: 14278 loss_kpt: 0.000446 acc_pose: 0.955874 loss: 0.000446 2022/09/27 03:49:20 - mmengine - INFO - Epoch(train) [210][300/586] lr: 5.000000e-06 eta: 0:02:01 time: 0.454206 data_time: 0.029333 memory: 14278 loss_kpt: 0.000452 acc_pose: 0.878945 loss: 0.000452 2022/09/27 03:49:42 - mmengine - INFO - Epoch(train) [210][350/586] lr: 5.000000e-06 eta: 0:01:40 time: 0.441094 data_time: 0.031765 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.867934 loss: 0.000456 2022/09/27 03:50:06 - mmengine - INFO - Epoch(train) [210][400/586] lr: 5.000000e-06 eta: 0:01:19 time: 0.469815 data_time: 0.033028 memory: 14278 loss_kpt: 0.000454 acc_pose: 0.908339 loss: 0.000454 2022/09/27 03:50:29 - mmengine - INFO - Epoch(train) [210][450/586] lr: 5.000000e-06 eta: 0:00:57 time: 0.450729 data_time: 0.033997 memory: 14278 loss_kpt: 0.000456 acc_pose: 0.901746 loss: 0.000456 2022/09/27 03:50:52 - mmengine - INFO - Epoch(train) [210][500/586] lr: 5.000000e-06 eta: 0:00:36 time: 0.465964 data_time: 0.040852 memory: 14278 loss_kpt: 0.000460 acc_pose: 0.912741 loss: 0.000460 2022/09/27 03:51:03 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:51:14 - mmengine - INFO - Epoch(train) [210][550/586] lr: 5.000000e-06 eta: 0:00:15 time: 0.438715 data_time: 0.031315 memory: 14278 loss_kpt: 0.000453 acc_pose: 0.853525 loss: 0.000453 2022/09/27 03:51:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-384x288_20220926_111956 2022/09/27 03:51:30 - mmengine - INFO - Saving checkpoint at 210 epochs 2022/09/27 03:52:01 - mmengine - INFO - Epoch(val) [210][50/407] eta: 0:02:01 time: 0.339486 data_time: 0.097751 memory: 14278 2022/09/27 03:52:17 - mmengine - INFO - Epoch(val) [210][100/407] eta: 0:01:39 time: 0.323357 data_time: 0.070548 memory: 2124 2022/09/27 03:52:33 - mmengine - INFO - Epoch(val) [210][150/407] eta: 0:01:25 time: 0.332520 data_time: 0.099693 memory: 2124 2022/09/27 03:52:49 - mmengine - INFO - Epoch(val) [210][200/407] eta: 0:01:06 time: 0.321063 data_time: 0.095088 memory: 2124 2022/09/27 03:53:06 - mmengine - INFO - Epoch(val) [210][250/407] eta: 0:00:52 time: 0.333595 data_time: 0.103396 memory: 2124 2022/09/27 03:53:23 - mmengine - INFO - Epoch(val) [210][300/407] eta: 0:00:35 time: 0.327772 data_time: 0.087849 memory: 2124 2022/09/27 03:53:39 - mmengine - INFO - Epoch(val) [210][350/407] eta: 0:00:18 time: 0.321852 data_time: 0.067224 memory: 2124 2022/09/27 03:53:48 - mmengine - INFO - Epoch(val) [210][400/407] eta: 0:00:01 time: 0.193827 data_time: 0.033265 memory: 2124 2022/09/27 03:54:21 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 03:54:33 - mmengine - INFO - Epoch(val) [210][407/407] coco/AP: 0.750476 coco/AP .5: 0.906146 coco/AP .75: 0.822110 coco/AP (M): 0.709669 coco/AP (L): 0.821457 coco/AR: 0.801716 coco/AR .5: 0.942380 coco/AR .75: 0.865397 coco/AR (M): 0.756924 coco/AR (L): 0.866407