2022/09/27 19:14:00 - 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: 1199999056 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 ------------------------------------------------------------ 2022/09/27 19:14:01 - 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=(192, 256), heatmap_size=(48, 64), sigma=2) 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=(192, 256), heatmap_size=(48, 64), sigma=2)), 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=(192, 256)), dict( type='GenerateTarget', target_type='heatmap', encoder=dict( type='MSRAHeatmap', input_size=(192, 256), heatmap_size=(48, 64), sigma=2)), 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=(192, 256)), 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=(192, 256)), dict( type='GenerateTarget', target_type='heatmap', encoder=dict( type='MSRAHeatmap', input_size=(192, 256), heatmap_size=(48, 64), sigma=2)), 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=(192, 256)), 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=(192, 256)), 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/20220927/r152_256/' 2022/09/27 19:14:49 - 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. 2022/09/27 19:14:49 - 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. 2022/09/27 19:14:49 - 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. 2022/09/27 19:14:49 - 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. 2022/09/27 19:14:49 - 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. 2022/09/27 19:14:49 - 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. 2022/09/27 19:14:49 - 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. 2022/09/27 19:14:49 - 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. 2022/09/27 19:14:53 - 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. 2022/09/27 19:14:55 - 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. 2022/09/27 19:15:01 - 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. 2022/09/27 19:15:01 - 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 - 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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 2022/09/27 19:15:01 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/liqikai/work_dirs/20220927/r152_256 by HardDiskBackend. 2022/09/27 19:16:17 - mmengine - INFO - Epoch(train) [1][50/586] lr: 4.954910e-05 eta: 2 days, 3:27:54 time: 1.506172 data_time: 0.327340 memory: 7071 loss_kpt: 0.002159 acc_pose: 0.169139 loss: 0.002159 2022/09/27 19:16:55 - mmengine - INFO - Epoch(train) [1][100/586] lr: 9.959920e-05 eta: 1 day, 14:59:38 time: 0.777141 data_time: 0.353623 memory: 7071 loss_kpt: 0.001740 acc_pose: 0.427271 loss: 0.001740 2022/09/27 19:17:29 - mmengine - INFO - Epoch(train) [1][150/586] lr: 1.496493e-04 eta: 1 day, 9:36:39 time: 0.670059 data_time: 0.174383 memory: 7071 loss_kpt: 0.001525 acc_pose: 0.432253 loss: 0.001525 2022/09/27 19:18:10 - mmengine - INFO - Epoch(train) [1][200/586] lr: 1.996994e-04 eta: 1 day, 8:14:32 time: 0.825660 data_time: 0.041888 memory: 7071 loss_kpt: 0.001424 acc_pose: 0.597753 loss: 0.001424 2022/09/27 19:19:20 - mmengine - INFO - Epoch(train) [1][250/586] lr: 2.497495e-04 eta: 1 day, 11:20:56 time: 1.401992 data_time: 0.167794 memory: 7071 loss_kpt: 0.001372 acc_pose: 0.556198 loss: 0.001372 2022/09/27 19:20:29 - mmengine - INFO - Epoch(train) [1][300/586] lr: 2.997996e-04 eta: 1 day, 13:16:09 time: 1.376633 data_time: 0.043070 memory: 7071 loss_kpt: 0.001287 acc_pose: 0.546223 loss: 0.001287 2022/09/27 19:21:00 - mmengine - INFO - Epoch(train) [1][350/586] lr: 3.498497e-04 eta: 1 day, 10:53:58 time: 0.609408 data_time: 0.127452 memory: 7071 loss_kpt: 0.001276 acc_pose: 0.504113 loss: 0.001276 2022/09/27 19:21:45 - mmengine - INFO - Epoch(train) [1][400/586] lr: 3.998998e-04 eta: 1 day, 10:22:20 time: 0.903438 data_time: 0.124944 memory: 7071 loss_kpt: 0.001235 acc_pose: 0.633387 loss: 0.001235 2022/09/27 19:22:23 - mmengine - INFO - Epoch(train) [1][450/586] lr: 4.499499e-04 eta: 1 day, 9:25:46 time: 0.763324 data_time: 0.036929 memory: 7071 loss_kpt: 0.001257 acc_pose: 0.552416 loss: 0.001257 2022/09/27 19:22:47 - mmengine - INFO - Epoch(train) [1][500/586] lr: 5.000000e-04 eta: 1 day, 7:40:55 time: 0.472237 data_time: 0.042993 memory: 7071 loss_kpt: 0.001223 acc_pose: 0.600418 loss: 0.001223 2022/09/27 19:23:11 - mmengine - INFO - Epoch(train) [1][550/586] lr: 5.000000e-04 eta: 1 day, 6:19:29 time: 0.496080 data_time: 0.035616 memory: 7071 loss_kpt: 0.001218 acc_pose: 0.643503 loss: 0.001218 2022/09/27 19:23:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:23:53 - mmengine - INFO - Epoch(train) [2][50/586] lr: 5.000000e-04 eta: 1 day, 3:17:32 time: 0.406407 data_time: 0.042662 memory: 7071 loss_kpt: 0.001177 acc_pose: 0.505593 loss: 0.001177 2022/09/27 19:24:12 - mmengine - INFO - Epoch(train) [2][100/586] lr: 5.000000e-04 eta: 1 day, 2:14:51 time: 0.385389 data_time: 0.028882 memory: 7071 loss_kpt: 0.001142 acc_pose: 0.652191 loss: 0.001142 2022/09/27 19:24:33 - mmengine - INFO - Epoch(train) [2][150/586] lr: 5.000000e-04 eta: 1 day, 1:24:37 time: 0.414096 data_time: 0.041286 memory: 7071 loss_kpt: 0.001170 acc_pose: 0.624953 loss: 0.001170 2022/09/27 19:24:52 - mmengine - INFO - Epoch(train) [2][200/586] lr: 5.000000e-04 eta: 1 day, 0:37:42 time: 0.390688 data_time: 0.040627 memory: 7071 loss_kpt: 0.001143 acc_pose: 0.674466 loss: 0.001143 2022/09/27 19:25:13 - mmengine - INFO - Epoch(train) [2][250/586] lr: 5.000000e-04 eta: 23:58:25 time: 0.407711 data_time: 0.033246 memory: 7071 loss_kpt: 0.001140 acc_pose: 0.656448 loss: 0.001140 2022/09/27 19:25:32 - mmengine - INFO - Epoch(train) [2][300/586] lr: 5.000000e-04 eta: 23:21:07 time: 0.386606 data_time: 0.040152 memory: 7071 loss_kpt: 0.001128 acc_pose: 0.594158 loss: 0.001128 2022/09/27 19:25:52 - mmengine - INFO - Epoch(train) [2][350/586] lr: 5.000000e-04 eta: 22:49:27 time: 0.402157 data_time: 0.033943 memory: 7071 loss_kpt: 0.001101 acc_pose: 0.611976 loss: 0.001101 2022/09/27 19:26:13 - mmengine - INFO - Epoch(train) [2][400/586] lr: 5.000000e-04 eta: 22:22:02 time: 0.412447 data_time: 0.034572 memory: 7071 loss_kpt: 0.001095 acc_pose: 0.614549 loss: 0.001095 2022/09/27 19:26:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:26:33 - mmengine - INFO - Epoch(train) [2][450/586] lr: 5.000000e-04 eta: 21:56:47 time: 0.408009 data_time: 0.031505 memory: 7071 loss_kpt: 0.001110 acc_pose: 0.679920 loss: 0.001110 2022/09/27 19:26:53 - mmengine - INFO - Epoch(train) [2][500/586] lr: 5.000000e-04 eta: 21:33:27 time: 0.403926 data_time: 0.037233 memory: 7071 loss_kpt: 0.001120 acc_pose: 0.663304 loss: 0.001120 2022/09/27 19:27:13 - mmengine - INFO - Epoch(train) [2][550/586] lr: 5.000000e-04 eta: 21:10:36 time: 0.386781 data_time: 0.041815 memory: 7071 loss_kpt: 0.001072 acc_pose: 0.657614 loss: 0.001072 2022/09/27 19:27:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:27:47 - mmengine - INFO - Epoch(train) [3][50/586] lr: 5.000000e-04 eta: 20:13:29 time: 0.398874 data_time: 0.040131 memory: 7071 loss_kpt: 0.001097 acc_pose: 0.806209 loss: 0.001097 2022/09/27 19:28:07 - mmengine - INFO - Epoch(train) [3][100/586] lr: 5.000000e-04 eta: 19:56:21 time: 0.389052 data_time: 0.042345 memory: 7071 loss_kpt: 0.001071 acc_pose: 0.646683 loss: 0.001071 2022/09/27 19:28:27 - mmengine - INFO - Epoch(train) [3][150/586] lr: 5.000000e-04 eta: 19:41:26 time: 0.401474 data_time: 0.036532 memory: 7071 loss_kpt: 0.001069 acc_pose: 0.636971 loss: 0.001069 2022/09/27 19:28:47 - mmengine - INFO - Epoch(train) [3][200/586] lr: 5.000000e-04 eta: 19:28:05 time: 0.408082 data_time: 0.031782 memory: 7071 loss_kpt: 0.001066 acc_pose: 0.675554 loss: 0.001066 2022/09/27 19:29:08 - mmengine - INFO - Epoch(train) [3][250/586] lr: 5.000000e-04 eta: 19:16:01 time: 0.413493 data_time: 0.041104 memory: 7071 loss_kpt: 0.001031 acc_pose: 0.575296 loss: 0.001031 2022/09/27 19:29:28 - mmengine - INFO - Epoch(train) [3][300/586] lr: 5.000000e-04 eta: 19:03:59 time: 0.402219 data_time: 0.032096 memory: 7071 loss_kpt: 0.001031 acc_pose: 0.702584 loss: 0.001031 2022/09/27 19:29:48 - mmengine - INFO - Epoch(train) [3][350/586] lr: 5.000000e-04 eta: 18:52:59 time: 0.406378 data_time: 0.042441 memory: 7071 loss_kpt: 0.001021 acc_pose: 0.661743 loss: 0.001021 2022/09/27 19:30:08 - mmengine - INFO - Epoch(train) [3][400/586] lr: 5.000000e-04 eta: 18:41:45 time: 0.392039 data_time: 0.034238 memory: 7071 loss_kpt: 0.001045 acc_pose: 0.676979 loss: 0.001045 2022/09/27 19:30:28 - mmengine - INFO - Epoch(train) [3][450/586] lr: 5.000000e-04 eta: 18:31:20 time: 0.394617 data_time: 0.033673 memory: 7071 loss_kpt: 0.001023 acc_pose: 0.705930 loss: 0.001023 2022/09/27 19:30:48 - mmengine - INFO - Epoch(train) [3][500/586] lr: 5.000000e-04 eta: 18:21:46 time: 0.398573 data_time: 0.042933 memory: 7071 loss_kpt: 0.001025 acc_pose: 0.676277 loss: 0.001025 2022/09/27 19:31:12 - mmengine - INFO - Epoch(train) [3][550/586] lr: 5.000000e-04 eta: 18:18:02 time: 0.488472 data_time: 0.134720 memory: 7071 loss_kpt: 0.001022 acc_pose: 0.607215 loss: 0.001022 2022/09/27 19:31:29 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:31:49 - mmengine - INFO - Epoch(train) [4][50/586] lr: 5.000000e-04 eta: 17:47:40 time: 0.404467 data_time: 0.043104 memory: 7071 loss_kpt: 0.001023 acc_pose: 0.664175 loss: 0.001023 2022/09/27 19:32:09 - mmengine - INFO - Epoch(train) [4][100/586] lr: 5.000000e-04 eta: 17:39:50 time: 0.392405 data_time: 0.036784 memory: 7071 loss_kpt: 0.001004 acc_pose: 0.729701 loss: 0.001004 2022/09/27 19:32:31 - mmengine - INFO - Epoch(train) [4][150/586] lr: 5.000000e-04 eta: 17:34:44 time: 0.436695 data_time: 0.046205 memory: 7071 loss_kpt: 0.001012 acc_pose: 0.602577 loss: 0.001012 2022/09/27 19:32:50 - mmengine - INFO - Epoch(train) [4][200/586] lr: 5.000000e-04 eta: 17:27:37 time: 0.392481 data_time: 0.031121 memory: 7071 loss_kpt: 0.001014 acc_pose: 0.714628 loss: 0.001014 2022/09/27 19:33:06 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:33:09 - mmengine - INFO - Epoch(train) [4][250/586] lr: 5.000000e-04 eta: 17:20:05 time: 0.377899 data_time: 0.033458 memory: 7071 loss_kpt: 0.000992 acc_pose: 0.703958 loss: 0.000992 2022/09/27 19:33:29 - mmengine - INFO - Epoch(train) [4][300/586] lr: 5.000000e-04 eta: 17:14:07 time: 0.402315 data_time: 0.042652 memory: 7071 loss_kpt: 0.001010 acc_pose: 0.687097 loss: 0.001010 2022/09/27 19:33:50 - mmengine - INFO - Epoch(train) [4][350/586] lr: 5.000000e-04 eta: 17:08:27 time: 0.403241 data_time: 0.029833 memory: 7071 loss_kpt: 0.000992 acc_pose: 0.659009 loss: 0.000992 2022/09/27 19:34:10 - mmengine - INFO - Epoch(train) [4][400/586] lr: 5.000000e-04 eta: 17:03:24 time: 0.411282 data_time: 0.035589 memory: 7071 loss_kpt: 0.001004 acc_pose: 0.686692 loss: 0.001004 2022/09/27 19:34:30 - mmengine - INFO - Epoch(train) [4][450/586] lr: 5.000000e-04 eta: 16:57:52 time: 0.395932 data_time: 0.032719 memory: 7071 loss_kpt: 0.000990 acc_pose: 0.608513 loss: 0.000990 2022/09/27 19:34:50 - mmengine - INFO - Epoch(train) [4][500/586] lr: 5.000000e-04 eta: 16:52:57 time: 0.404265 data_time: 0.037276 memory: 7071 loss_kpt: 0.000995 acc_pose: 0.709395 loss: 0.000995 2022/09/27 19:35:10 - mmengine - INFO - Epoch(train) [4][550/586] lr: 5.000000e-04 eta: 16:47:45 time: 0.393773 data_time: 0.036835 memory: 7071 loss_kpt: 0.000991 acc_pose: 0.653908 loss: 0.000991 2022/09/27 19:35:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:35:45 - mmengine - INFO - Epoch(train) [5][50/586] lr: 5.000000e-04 eta: 16:28:29 time: 0.419533 data_time: 0.060072 memory: 7071 loss_kpt: 0.000981 acc_pose: 0.733391 loss: 0.000981 2022/09/27 19:36:04 - mmengine - INFO - Epoch(train) [5][100/586] lr: 5.000000e-04 eta: 16:24:03 time: 0.393567 data_time: 0.034119 memory: 7071 loss_kpt: 0.001006 acc_pose: 0.605145 loss: 0.001006 2022/09/27 19:36:25 - mmengine - INFO - Epoch(train) [5][150/586] lr: 5.000000e-04 eta: 16:20:29 time: 0.411278 data_time: 0.048058 memory: 7071 loss_kpt: 0.000958 acc_pose: 0.592980 loss: 0.000958 2022/09/27 19:36:45 - mmengine - INFO - Epoch(train) [5][200/586] lr: 5.000000e-04 eta: 16:16:44 time: 0.403102 data_time: 0.033207 memory: 7071 loss_kpt: 0.000946 acc_pose: 0.738001 loss: 0.000946 2022/09/27 19:37:05 - mmengine - INFO - Epoch(train) [5][250/586] lr: 5.000000e-04 eta: 16:12:50 time: 0.396158 data_time: 0.037307 memory: 7071 loss_kpt: 0.000971 acc_pose: 0.676760 loss: 0.000971 2022/09/27 19:37:25 - mmengine - INFO - Epoch(train) [5][300/586] lr: 5.000000e-04 eta: 16:09:15 time: 0.400649 data_time: 0.033341 memory: 7071 loss_kpt: 0.000963 acc_pose: 0.740558 loss: 0.000963 2022/09/27 19:37:44 - mmengine - INFO - Epoch(train) [5][350/586] lr: 5.000000e-04 eta: 16:05:27 time: 0.391617 data_time: 0.039988 memory: 7071 loss_kpt: 0.000958 acc_pose: 0.722745 loss: 0.000958 2022/09/27 19:38:04 - mmengine - INFO - Epoch(train) [5][400/586] lr: 5.000000e-04 eta: 16:02:00 time: 0.397771 data_time: 0.045712 memory: 7071 loss_kpt: 0.000938 acc_pose: 0.737366 loss: 0.000938 2022/09/27 19:38:24 - mmengine - INFO - Epoch(train) [5][450/586] lr: 5.000000e-04 eta: 15:58:44 time: 0.400069 data_time: 0.039760 memory: 7071 loss_kpt: 0.000952 acc_pose: 0.721112 loss: 0.000952 2022/09/27 19:38:44 - mmengine - INFO - Epoch(train) [5][500/586] lr: 5.000000e-04 eta: 15:55:25 time: 0.395504 data_time: 0.040886 memory: 7071 loss_kpt: 0.000949 acc_pose: 0.726342 loss: 0.000949 2022/09/27 19:39:04 - mmengine - INFO - Epoch(train) [5][550/586] lr: 5.000000e-04 eta: 15:52:23 time: 0.400418 data_time: 0.034643 memory: 7071 loss_kpt: 0.000957 acc_pose: 0.597476 loss: 0.000957 2022/09/27 19:39:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:39:38 - mmengine - INFO - Epoch(train) [6][50/586] lr: 5.000000e-04 eta: 15:37:56 time: 0.407806 data_time: 0.043578 memory: 7071 loss_kpt: 0.000951 acc_pose: 0.716583 loss: 0.000951 2022/09/27 19:39:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:39:58 - mmengine - INFO - Epoch(train) [6][100/586] lr: 5.000000e-04 eta: 15:35:16 time: 0.399846 data_time: 0.045503 memory: 7071 loss_kpt: 0.000934 acc_pose: 0.698319 loss: 0.000934 2022/09/27 19:40:19 - mmengine - INFO - Epoch(train) [6][150/586] lr: 5.000000e-04 eta: 15:33:15 time: 0.417510 data_time: 0.044310 memory: 7071 loss_kpt: 0.000952 acc_pose: 0.692885 loss: 0.000952 2022/09/27 19:40:38 - mmengine - INFO - Epoch(train) [6][200/586] lr: 5.000000e-04 eta: 15:29:57 time: 0.375309 data_time: 0.035285 memory: 7071 loss_kpt: 0.000951 acc_pose: 0.706876 loss: 0.000951 2022/09/27 19:40:58 - mmengine - INFO - Epoch(train) [6][250/586] lr: 5.000000e-04 eta: 15:27:24 time: 0.396615 data_time: 0.041388 memory: 7071 loss_kpt: 0.000921 acc_pose: 0.647158 loss: 0.000921 2022/09/27 19:41:17 - mmengine - INFO - Epoch(train) [6][300/586] lr: 5.000000e-04 eta: 15:24:33 time: 0.384371 data_time: 0.031904 memory: 7071 loss_kpt: 0.000954 acc_pose: 0.680997 loss: 0.000954 2022/09/27 19:41:37 - mmengine - INFO - Epoch(train) [6][350/586] lr: 5.000000e-04 eta: 15:22:10 time: 0.397516 data_time: 0.034675 memory: 7071 loss_kpt: 0.000941 acc_pose: 0.718616 loss: 0.000941 2022/09/27 19:41:57 - mmengine - INFO - Epoch(train) [6][400/586] lr: 5.000000e-04 eta: 15:19:53 time: 0.398477 data_time: 0.041510 memory: 7071 loss_kpt: 0.000911 acc_pose: 0.723666 loss: 0.000911 2022/09/27 19:42:16 - mmengine - INFO - Epoch(train) [6][450/586] lr: 5.000000e-04 eta: 15:17:24 time: 0.389830 data_time: 0.031414 memory: 7071 loss_kpt: 0.000956 acc_pose: 0.753930 loss: 0.000956 2022/09/27 19:42:36 - mmengine - INFO - Epoch(train) [6][500/586] lr: 5.000000e-04 eta: 15:15:06 time: 0.393719 data_time: 0.039208 memory: 7071 loss_kpt: 0.000938 acc_pose: 0.758961 loss: 0.000938 2022/09/27 19:42:56 - mmengine - INFO - Epoch(train) [6][550/586] lr: 5.000000e-04 eta: 15:12:55 time: 0.396170 data_time: 0.048637 memory: 7071 loss_kpt: 0.000940 acc_pose: 0.707110 loss: 0.000940 2022/09/27 19:43:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:43:31 - mmengine - INFO - Epoch(train) [7][50/586] lr: 5.000000e-04 eta: 15:01:45 time: 0.411639 data_time: 0.058756 memory: 7071 loss_kpt: 0.000936 acc_pose: 0.682183 loss: 0.000936 2022/09/27 19:43:51 - mmengine - INFO - Epoch(train) [7][100/586] lr: 5.000000e-04 eta: 15:00:13 time: 0.410936 data_time: 0.028050 memory: 7071 loss_kpt: 0.000916 acc_pose: 0.659231 loss: 0.000916 2022/09/27 19:44:12 - mmengine - INFO - Epoch(train) [7][150/586] lr: 5.000000e-04 eta: 14:58:31 time: 0.403257 data_time: 0.034812 memory: 7071 loss_kpt: 0.000931 acc_pose: 0.701654 loss: 0.000931 2022/09/27 19:44:31 - mmengine - INFO - Epoch(train) [7][200/586] lr: 5.000000e-04 eta: 14:56:31 time: 0.390818 data_time: 0.030133 memory: 7071 loss_kpt: 0.000906 acc_pose: 0.716735 loss: 0.000906 2022/09/27 19:44:51 - mmengine - INFO - Epoch(train) [7][250/586] lr: 5.000000e-04 eta: 14:54:40 time: 0.394844 data_time: 0.032263 memory: 7071 loss_kpt: 0.000903 acc_pose: 0.689948 loss: 0.000903 2022/09/27 19:45:11 - mmengine - INFO - Epoch(train) [7][300/586] lr: 5.000000e-04 eta: 14:52:57 time: 0.398439 data_time: 0.035583 memory: 7071 loss_kpt: 0.000928 acc_pose: 0.725902 loss: 0.000928 2022/09/27 19:45:31 - mmengine - INFO - Epoch(train) [7][350/586] lr: 5.000000e-04 eta: 14:51:10 time: 0.394621 data_time: 0.031357 memory: 7071 loss_kpt: 0.000920 acc_pose: 0.738969 loss: 0.000920 2022/09/27 19:45:50 - mmengine - INFO - Epoch(train) [7][400/586] lr: 5.000000e-04 eta: 14:49:04 time: 0.380792 data_time: 0.030949 memory: 7071 loss_kpt: 0.000906 acc_pose: 0.704742 loss: 0.000906 2022/09/27 19:46:09 - mmengine - INFO - Epoch(train) [7][450/586] lr: 5.000000e-04 eta: 14:47:22 time: 0.394496 data_time: 0.044436 memory: 7071 loss_kpt: 0.000914 acc_pose: 0.772502 loss: 0.000914 2022/09/27 19:46:23 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:46:30 - mmengine - INFO - Epoch(train) [7][500/586] lr: 5.000000e-04 eta: 14:45:53 time: 0.402214 data_time: 0.035317 memory: 7071 loss_kpt: 0.000911 acc_pose: 0.781583 loss: 0.000911 2022/09/27 19:46:49 - mmengine - INFO - Epoch(train) [7][550/586] lr: 5.000000e-04 eta: 14:44:19 time: 0.397535 data_time: 0.035017 memory: 7071 loss_kpt: 0.000898 acc_pose: 0.770101 loss: 0.000898 2022/09/27 19:47:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:47:25 - mmengine - INFO - Epoch(train) [8][50/586] lr: 5.000000e-04 eta: 14:35:38 time: 0.429874 data_time: 0.046697 memory: 7071 loss_kpt: 0.000931 acc_pose: 0.700441 loss: 0.000931 2022/09/27 19:47:45 - mmengine - INFO - Epoch(train) [8][100/586] lr: 5.000000e-04 eta: 14:34:06 time: 0.392248 data_time: 0.036861 memory: 7071 loss_kpt: 0.000909 acc_pose: 0.741436 loss: 0.000909 2022/09/27 19:48:04 - mmengine - INFO - Epoch(train) [8][150/586] lr: 5.000000e-04 eta: 14:32:33 time: 0.390215 data_time: 0.028769 memory: 7071 loss_kpt: 0.000912 acc_pose: 0.812741 loss: 0.000912 2022/09/27 19:48:24 - mmengine - INFO - Epoch(train) [8][200/586] lr: 5.000000e-04 eta: 14:31:03 time: 0.391610 data_time: 0.043897 memory: 7071 loss_kpt: 0.000945 acc_pose: 0.744598 loss: 0.000945 2022/09/27 19:48:45 - mmengine - INFO - Epoch(train) [8][250/586] lr: 5.000000e-04 eta: 14:30:24 time: 0.427560 data_time: 0.057442 memory: 7071 loss_kpt: 0.000915 acc_pose: 0.649599 loss: 0.000915 2022/09/27 19:49:06 - mmengine - INFO - Epoch(train) [8][300/586] lr: 5.000000e-04 eta: 14:29:20 time: 0.409121 data_time: 0.031615 memory: 7071 loss_kpt: 0.000899 acc_pose: 0.731911 loss: 0.000899 2022/09/27 19:49:25 - mmengine - INFO - Epoch(train) [8][350/586] lr: 5.000000e-04 eta: 14:27:52 time: 0.390168 data_time: 0.035540 memory: 7071 loss_kpt: 0.000903 acc_pose: 0.667438 loss: 0.000903 2022/09/27 19:49:45 - mmengine - INFO - Epoch(train) [8][400/586] lr: 5.000000e-04 eta: 14:26:44 time: 0.404031 data_time: 0.041160 memory: 7071 loss_kpt: 0.000914 acc_pose: 0.653892 loss: 0.000914 2022/09/27 19:50:06 - mmengine - INFO - Epoch(train) [8][450/586] lr: 5.000000e-04 eta: 14:25:46 time: 0.410655 data_time: 0.029450 memory: 7071 loss_kpt: 0.000898 acc_pose: 0.692846 loss: 0.000898 2022/09/27 19:50:25 - mmengine - INFO - Epoch(train) [8][500/586] lr: 5.000000e-04 eta: 14:24:09 time: 0.379737 data_time: 0.035246 memory: 7071 loss_kpt: 0.000899 acc_pose: 0.729422 loss: 0.000899 2022/09/27 19:50:44 - mmengine - INFO - Epoch(train) [8][550/586] lr: 5.000000e-04 eta: 14:22:38 time: 0.383359 data_time: 0.031094 memory: 7071 loss_kpt: 0.000899 acc_pose: 0.707744 loss: 0.000899 2022/09/27 19:50:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:51:18 - mmengine - INFO - Epoch(train) [9][50/586] lr: 5.000000e-04 eta: 14:14:40 time: 0.399284 data_time: 0.050345 memory: 7071 loss_kpt: 0.000918 acc_pose: 0.752385 loss: 0.000918 2022/09/27 19:51:38 - mmengine - INFO - Epoch(train) [9][100/586] lr: 5.000000e-04 eta: 14:13:23 time: 0.388710 data_time: 0.034435 memory: 7071 loss_kpt: 0.000895 acc_pose: 0.767513 loss: 0.000895 2022/09/27 19:51:58 - mmengine - INFO - Epoch(train) [9][150/586] lr: 5.000000e-04 eta: 14:12:28 time: 0.405903 data_time: 0.028522 memory: 7071 loss_kpt: 0.000872 acc_pose: 0.768853 loss: 0.000872 2022/09/27 19:52:18 - mmengine - INFO - Epoch(train) [9][200/586] lr: 5.000000e-04 eta: 14:11:24 time: 0.397036 data_time: 0.033769 memory: 7071 loss_kpt: 0.000882 acc_pose: 0.757139 loss: 0.000882 2022/09/27 19:52:38 - mmengine - INFO - Epoch(train) [9][250/586] lr: 5.000000e-04 eta: 14:10:30 time: 0.405312 data_time: 0.039316 memory: 7071 loss_kpt: 0.000885 acc_pose: 0.751319 loss: 0.000885 2022/09/27 19:52:58 - mmengine - INFO - Epoch(train) [9][300/586] lr: 5.000000e-04 eta: 14:09:26 time: 0.396569 data_time: 0.044329 memory: 7071 loss_kpt: 0.000889 acc_pose: 0.691023 loss: 0.000889 2022/09/27 19:53:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:53:18 - mmengine - INFO - Epoch(train) [9][350/586] lr: 5.000000e-04 eta: 14:08:34 time: 0.405110 data_time: 0.032706 memory: 7071 loss_kpt: 0.000873 acc_pose: 0.700637 loss: 0.000873 2022/09/27 19:53:37 - mmengine - INFO - Epoch(train) [9][400/586] lr: 5.000000e-04 eta: 14:07:18 time: 0.384624 data_time: 0.031441 memory: 7071 loss_kpt: 0.000901 acc_pose: 0.781825 loss: 0.000901 2022/09/27 19:53:57 - mmengine - INFO - Epoch(train) [9][450/586] lr: 5.000000e-04 eta: 14:06:11 time: 0.391913 data_time: 0.033651 memory: 7071 loss_kpt: 0.000869 acc_pose: 0.747983 loss: 0.000869 2022/09/27 19:54:17 - mmengine - INFO - Epoch(train) [9][500/586] lr: 5.000000e-04 eta: 14:05:06 time: 0.391628 data_time: 0.034648 memory: 7071 loss_kpt: 0.000868 acc_pose: 0.703241 loss: 0.000868 2022/09/27 19:54:36 - mmengine - INFO - Epoch(train) [9][550/586] lr: 5.000000e-04 eta: 14:04:07 time: 0.397187 data_time: 0.038194 memory: 7071 loss_kpt: 0.000874 acc_pose: 0.703600 loss: 0.000874 2022/09/27 19:54:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:55:10 - mmengine - INFO - Epoch(train) [10][50/586] lr: 5.000000e-04 eta: 13:57:12 time: 0.397497 data_time: 0.037754 memory: 7071 loss_kpt: 0.000896 acc_pose: 0.750151 loss: 0.000896 2022/09/27 19:55:30 - mmengine - INFO - Epoch(train) [10][100/586] lr: 5.000000e-04 eta: 13:56:11 time: 0.389959 data_time: 0.028796 memory: 7071 loss_kpt: 0.000882 acc_pose: 0.706705 loss: 0.000882 2022/09/27 19:55:49 - mmengine - INFO - Epoch(train) [10][150/586] lr: 5.000000e-04 eta: 13:55:16 time: 0.395669 data_time: 0.027793 memory: 7071 loss_kpt: 0.000859 acc_pose: 0.785885 loss: 0.000859 2022/09/27 19:56:10 - mmengine - INFO - Epoch(train) [10][200/586] lr: 5.000000e-04 eta: 13:54:35 time: 0.407396 data_time: 0.032290 memory: 7071 loss_kpt: 0.000849 acc_pose: 0.770403 loss: 0.000849 2022/09/27 19:56:30 - mmengine - INFO - Epoch(train) [10][250/586] lr: 5.000000e-04 eta: 13:53:56 time: 0.409607 data_time: 0.035262 memory: 7071 loss_kpt: 0.000867 acc_pose: 0.767219 loss: 0.000867 2022/09/27 19:56:50 - mmengine - INFO - Epoch(train) [10][300/586] lr: 5.000000e-04 eta: 13:53:03 time: 0.395396 data_time: 0.034451 memory: 7071 loss_kpt: 0.000868 acc_pose: 0.709995 loss: 0.000868 2022/09/27 19:57:10 - mmengine - INFO - Epoch(train) [10][350/586] lr: 5.000000e-04 eta: 13:52:16 time: 0.401201 data_time: 0.041890 memory: 7071 loss_kpt: 0.000874 acc_pose: 0.737417 loss: 0.000874 2022/09/27 19:57:31 - mmengine - INFO - Epoch(train) [10][400/586] lr: 5.000000e-04 eta: 13:51:47 time: 0.417006 data_time: 0.038214 memory: 7071 loss_kpt: 0.000877 acc_pose: 0.773790 loss: 0.000877 2022/09/27 19:57:51 - mmengine - INFO - Epoch(train) [10][450/586] lr: 5.000000e-04 eta: 13:50:58 time: 0.398436 data_time: 0.034649 memory: 7071 loss_kpt: 0.000869 acc_pose: 0.735001 loss: 0.000869 2022/09/27 19:58:11 - mmengine - INFO - Epoch(train) [10][500/586] lr: 5.000000e-04 eta: 13:50:07 time: 0.395866 data_time: 0.035192 memory: 7071 loss_kpt: 0.000864 acc_pose: 0.678578 loss: 0.000864 2022/09/27 19:58:31 - mmengine - INFO - Epoch(train) [10][550/586] lr: 5.000000e-04 eta: 13:49:19 time: 0.397582 data_time: 0.045931 memory: 7071 loss_kpt: 0.000865 acc_pose: 0.753368 loss: 0.000865 2022/09/27 19:58:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 19:58:44 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/09/27 19:59:19 - mmengine - INFO - Epoch(val) [10][50/407] eta: 0:03:03 time: 0.513795 data_time: 0.370830 memory: 7071 2022/09/27 19:59:43 - mmengine - INFO - Epoch(val) [10][100/407] eta: 0:02:28 time: 0.483361 data_time: 0.322757 memory: 1674 2022/09/27 20:00:04 - mmengine - INFO - Epoch(val) [10][150/407] eta: 0:01:46 time: 0.413141 data_time: 0.229843 memory: 1674 2022/09/27 20:00:18 - mmengine - INFO - Epoch(val) [10][200/407] eta: 0:01:00 time: 0.293536 data_time: 0.120370 memory: 1674 2022/09/27 20:00:40 - mmengine - INFO - Epoch(val) [10][250/407] eta: 0:01:07 time: 0.426905 data_time: 0.246503 memory: 1674 2022/09/27 20:00:55 - mmengine - INFO - Epoch(val) [10][300/407] eta: 0:00:33 time: 0.310195 data_time: 0.141219 memory: 1674 2022/09/27 20:01:13 - mmengine - INFO - Epoch(val) [10][350/407] eta: 0:00:20 time: 0.355885 data_time: 0.180211 memory: 1674 2022/09/27 20:01:30 - mmengine - INFO - Epoch(val) [10][400/407] eta: 0:00:02 time: 0.336375 data_time: 0.149040 memory: 1674 2022/09/27 20:02:10 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 20:02:24 - mmengine - INFO - Epoch(val) [10][407/407] coco/AP: 0.617336 coco/AP .5: 0.859387 coco/AP .75: 0.692077 coco/AP (M): 0.584869 coco/AP (L): 0.680739 coco/AR: 0.682258 coco/AR .5: 0.904282 coco/AR .75: 0.751259 coco/AR (M): 0.640044 coco/AR (L): 0.741918 2022/09/27 20:02:27 - mmengine - INFO - The best checkpoint with 0.6173 coco/AP at 10 epoch is saved to best_coco/AP_epoch_10.pth. 2022/09/27 20:02:47 - mmengine - INFO - Epoch(train) [11][50/586] lr: 5.000000e-04 eta: 13:43:09 time: 0.394197 data_time: 0.037967 memory: 7071 loss_kpt: 0.000867 acc_pose: 0.719075 loss: 0.000867 2022/09/27 20:03:06 - mmengine - INFO - Epoch(train) [11][100/586] lr: 5.000000e-04 eta: 13:42:17 time: 0.389781 data_time: 0.029884 memory: 7071 loss_kpt: 0.000862 acc_pose: 0.728349 loss: 0.000862 2022/09/27 20:03:23 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:03:27 - mmengine - INFO - Epoch(train) [11][150/586] lr: 5.000000e-04 eta: 13:41:49 time: 0.414353 data_time: 0.040921 memory: 7071 loss_kpt: 0.000850 acc_pose: 0.617593 loss: 0.000850 2022/09/27 20:03:46 - mmengine - INFO - Epoch(train) [11][200/586] lr: 5.000000e-04 eta: 13:40:49 time: 0.381199 data_time: 0.036218 memory: 7071 loss_kpt: 0.000856 acc_pose: 0.746364 loss: 0.000856 2022/09/27 20:04:05 - mmengine - INFO - Epoch(train) [11][250/586] lr: 5.000000e-04 eta: 13:40:01 time: 0.392019 data_time: 0.032607 memory: 7071 loss_kpt: 0.000861 acc_pose: 0.761831 loss: 0.000861 2022/09/27 20:04:26 - mmengine - INFO - Epoch(train) [11][300/586] lr: 5.000000e-04 eta: 13:39:22 time: 0.401932 data_time: 0.029848 memory: 7071 loss_kpt: 0.000853 acc_pose: 0.668559 loss: 0.000853 2022/09/27 20:04:45 - mmengine - INFO - Epoch(train) [11][350/586] lr: 5.000000e-04 eta: 13:38:32 time: 0.389988 data_time: 0.038339 memory: 7071 loss_kpt: 0.000861 acc_pose: 0.752449 loss: 0.000861 2022/09/27 20:05:06 - mmengine - INFO - Epoch(train) [11][400/586] lr: 5.000000e-04 eta: 13:38:05 time: 0.413644 data_time: 0.032530 memory: 7071 loss_kpt: 0.000868 acc_pose: 0.732294 loss: 0.000868 2022/09/27 20:05:26 - mmengine - INFO - Epoch(train) [11][450/586] lr: 5.000000e-04 eta: 13:37:26 time: 0.400635 data_time: 0.032644 memory: 7071 loss_kpt: 0.000862 acc_pose: 0.722698 loss: 0.000862 2022/09/27 20:05:45 - mmengine - INFO - Epoch(train) [11][500/586] lr: 5.000000e-04 eta: 13:36:37 time: 0.389926 data_time: 0.033066 memory: 7071 loss_kpt: 0.000853 acc_pose: 0.687980 loss: 0.000853 2022/09/27 20:06:06 - mmengine - INFO - Epoch(train) [11][550/586] lr: 5.000000e-04 eta: 13:36:12 time: 0.415175 data_time: 0.042950 memory: 7071 loss_kpt: 0.000852 acc_pose: 0.702704 loss: 0.000852 2022/09/27 20:06:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:06:43 - mmengine - INFO - Epoch(train) [12][50/586] lr: 5.000000e-04 eta: 13:31:28 time: 0.446229 data_time: 0.053095 memory: 7071 loss_kpt: 0.000846 acc_pose: 0.654700 loss: 0.000846 2022/09/27 20:07:04 - mmengine - INFO - Epoch(train) [12][100/586] lr: 5.000000e-04 eta: 13:31:19 time: 0.431334 data_time: 0.038248 memory: 7071 loss_kpt: 0.000833 acc_pose: 0.805015 loss: 0.000833 2022/09/27 20:07:24 - mmengine - INFO - Epoch(train) [12][150/586] lr: 5.000000e-04 eta: 13:30:40 time: 0.396376 data_time: 0.030975 memory: 7071 loss_kpt: 0.000838 acc_pose: 0.760192 loss: 0.000838 2022/09/27 20:07:44 - mmengine - INFO - Epoch(train) [12][200/586] lr: 5.000000e-04 eta: 13:30:00 time: 0.396818 data_time: 0.033836 memory: 7071 loss_kpt: 0.000865 acc_pose: 0.719572 loss: 0.000865 2022/09/27 20:08:05 - mmengine - INFO - Epoch(train) [12][250/586] lr: 5.000000e-04 eta: 13:29:32 time: 0.408871 data_time: 0.039781 memory: 7071 loss_kpt: 0.000832 acc_pose: 0.741237 loss: 0.000832 2022/09/27 20:08:24 - mmengine - INFO - Epoch(train) [12][300/586] lr: 5.000000e-04 eta: 13:28:45 time: 0.387269 data_time: 0.039510 memory: 7071 loss_kpt: 0.000838 acc_pose: 0.695934 loss: 0.000838 2022/09/27 20:08:43 - mmengine - INFO - Epoch(train) [12][350/586] lr: 5.000000e-04 eta: 13:28:02 time: 0.390646 data_time: 0.042522 memory: 7071 loss_kpt: 0.000861 acc_pose: 0.732567 loss: 0.000861 2022/09/27 20:09:03 - mmengine - INFO - Epoch(train) [12][400/586] lr: 5.000000e-04 eta: 13:27:16 time: 0.387674 data_time: 0.040599 memory: 7071 loss_kpt: 0.000863 acc_pose: 0.750765 loss: 0.000863 2022/09/27 20:09:22 - mmengine - INFO - Epoch(train) [12][450/586] lr: 5.000000e-04 eta: 13:26:34 time: 0.391301 data_time: 0.032110 memory: 7071 loss_kpt: 0.000843 acc_pose: 0.693124 loss: 0.000843 2022/09/27 20:09:42 - mmengine - INFO - Epoch(train) [12][500/586] lr: 5.000000e-04 eta: 13:25:57 time: 0.398164 data_time: 0.032472 memory: 7071 loss_kpt: 0.000835 acc_pose: 0.803815 loss: 0.000835 2022/09/27 20:10:02 - mmengine - INFO - Epoch(train) [12][550/586] lr: 5.000000e-04 eta: 13:25:16 time: 0.391848 data_time: 0.028467 memory: 7071 loss_kpt: 0.000848 acc_pose: 0.713020 loss: 0.000848 2022/09/27 20:10:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:10:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:10:38 - mmengine - INFO - Epoch(train) [13][50/586] lr: 5.000000e-04 eta: 13:20:42 time: 0.424585 data_time: 0.060053 memory: 7071 loss_kpt: 0.000844 acc_pose: 0.692562 loss: 0.000844 2022/09/27 20:10:58 - mmengine - INFO - Epoch(train) [13][100/586] lr: 5.000000e-04 eta: 13:20:11 time: 0.401627 data_time: 0.029118 memory: 7071 loss_kpt: 0.000847 acc_pose: 0.724942 loss: 0.000847 2022/09/27 20:11:18 - mmengine - INFO - Epoch(train) [13][150/586] lr: 5.000000e-04 eta: 13:19:37 time: 0.398432 data_time: 0.037387 memory: 7071 loss_kpt: 0.000823 acc_pose: 0.766967 loss: 0.000823 2022/09/27 20:11:38 - mmengine - INFO - Epoch(train) [13][200/586] lr: 5.000000e-04 eta: 13:19:05 time: 0.398965 data_time: 0.038007 memory: 7071 loss_kpt: 0.000819 acc_pose: 0.716299 loss: 0.000819 2022/09/27 20:11:57 - mmengine - INFO - Epoch(train) [13][250/586] lr: 5.000000e-04 eta: 13:18:20 time: 0.383993 data_time: 0.039807 memory: 7071 loss_kpt: 0.000861 acc_pose: 0.778777 loss: 0.000861 2022/09/27 20:12:16 - mmengine - INFO - Epoch(train) [13][300/586] lr: 5.000000e-04 eta: 13:17:37 time: 0.386006 data_time: 0.034661 memory: 7071 loss_kpt: 0.000858 acc_pose: 0.766189 loss: 0.000858 2022/09/27 20:12:35 - mmengine - INFO - Epoch(train) [13][350/586] lr: 5.000000e-04 eta: 13:16:54 time: 0.384310 data_time: 0.034197 memory: 7071 loss_kpt: 0.000823 acc_pose: 0.720272 loss: 0.000823 2022/09/27 20:12:55 - mmengine - INFO - Epoch(train) [13][400/586] lr: 5.000000e-04 eta: 13:16:18 time: 0.394358 data_time: 0.035515 memory: 7071 loss_kpt: 0.000848 acc_pose: 0.722858 loss: 0.000848 2022/09/27 20:13:15 - mmengine - INFO - Epoch(train) [13][450/586] lr: 5.000000e-04 eta: 13:15:41 time: 0.391235 data_time: 0.035873 memory: 7071 loss_kpt: 0.000852 acc_pose: 0.816123 loss: 0.000852 2022/09/27 20:13:36 - mmengine - INFO - Epoch(train) [13][500/586] lr: 5.000000e-04 eta: 13:15:26 time: 0.420279 data_time: 0.030016 memory: 7071 loss_kpt: 0.000846 acc_pose: 0.730750 loss: 0.000846 2022/09/27 20:13:55 - mmengine - INFO - Epoch(train) [13][550/586] lr: 5.000000e-04 eta: 13:14:48 time: 0.391162 data_time: 0.033109 memory: 7071 loss_kpt: 0.000850 acc_pose: 0.797917 loss: 0.000850 2022/09/27 20:14:09 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:14:30 - mmengine - INFO - Epoch(train) [14][50/586] lr: 5.000000e-04 eta: 13:10:34 time: 0.419696 data_time: 0.056362 memory: 7071 loss_kpt: 0.000826 acc_pose: 0.761807 loss: 0.000826 2022/09/27 20:14:49 - mmengine - INFO - Epoch(train) [14][100/586] lr: 5.000000e-04 eta: 13:10:01 time: 0.393856 data_time: 0.034862 memory: 7071 loss_kpt: 0.000830 acc_pose: 0.727752 loss: 0.000830 2022/09/27 20:15:09 - mmengine - INFO - Epoch(train) [14][150/586] lr: 5.000000e-04 eta: 13:09:26 time: 0.391189 data_time: 0.033559 memory: 7071 loss_kpt: 0.000844 acc_pose: 0.807710 loss: 0.000844 2022/09/27 20:15:28 - mmengine - INFO - Epoch(train) [14][200/586] lr: 5.000000e-04 eta: 13:08:46 time: 0.385671 data_time: 0.038467 memory: 7071 loss_kpt: 0.000839 acc_pose: 0.758961 loss: 0.000839 2022/09/27 20:15:48 - mmengine - INFO - Epoch(train) [14][250/586] lr: 5.000000e-04 eta: 13:08:15 time: 0.395192 data_time: 0.038458 memory: 7071 loss_kpt: 0.000837 acc_pose: 0.792538 loss: 0.000837 2022/09/27 20:16:08 - mmengine - INFO - Epoch(train) [14][300/586] lr: 5.000000e-04 eta: 13:07:44 time: 0.396767 data_time: 0.036701 memory: 7071 loss_kpt: 0.000816 acc_pose: 0.771446 loss: 0.000816 2022/09/27 20:16:28 - mmengine - INFO - Epoch(train) [14][350/586] lr: 5.000000e-04 eta: 13:07:18 time: 0.402309 data_time: 0.042532 memory: 7071 loss_kpt: 0.000818 acc_pose: 0.772698 loss: 0.000818 2022/09/27 20:16:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:16:47 - mmengine - INFO - Epoch(train) [14][400/586] lr: 5.000000e-04 eta: 13:06:44 time: 0.392384 data_time: 0.033906 memory: 7071 loss_kpt: 0.000828 acc_pose: 0.681501 loss: 0.000828 2022/09/27 20:17:07 - mmengine - INFO - Epoch(train) [14][450/586] lr: 5.000000e-04 eta: 13:06:16 time: 0.399572 data_time: 0.038806 memory: 7071 loss_kpt: 0.000819 acc_pose: 0.814243 loss: 0.000819 2022/09/27 20:17:27 - mmengine - INFO - Epoch(train) [14][500/586] lr: 5.000000e-04 eta: 13:05:48 time: 0.399361 data_time: 0.032849 memory: 7071 loss_kpt: 0.000842 acc_pose: 0.759695 loss: 0.000842 2022/09/27 20:17:48 - mmengine - INFO - Epoch(train) [14][550/586] lr: 5.000000e-04 eta: 13:05:25 time: 0.407506 data_time: 0.039482 memory: 7071 loss_kpt: 0.000822 acc_pose: 0.829760 loss: 0.000822 2022/09/27 20:18:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:18:22 - mmengine - INFO - Epoch(train) [15][50/586] lr: 5.000000e-04 eta: 13:01:20 time: 0.403934 data_time: 0.044825 memory: 7071 loss_kpt: 0.000826 acc_pose: 0.767954 loss: 0.000826 2022/09/27 20:18:42 - mmengine - INFO - Epoch(train) [15][100/586] lr: 5.000000e-04 eta: 13:00:52 time: 0.396286 data_time: 0.038336 memory: 7071 loss_kpt: 0.000857 acc_pose: 0.805946 loss: 0.000857 2022/09/27 20:19:01 - mmengine - INFO - Epoch(train) [15][150/586] lr: 5.000000e-04 eta: 13:00:14 time: 0.384044 data_time: 0.038152 memory: 7071 loss_kpt: 0.000833 acc_pose: 0.793232 loss: 0.000833 2022/09/27 20:19:20 - mmengine - INFO - Epoch(train) [15][200/586] lr: 5.000000e-04 eta: 12:59:37 time: 0.383637 data_time: 0.040850 memory: 7071 loss_kpt: 0.000812 acc_pose: 0.762583 loss: 0.000812 2022/09/27 20:19:40 - mmengine - INFO - Epoch(train) [15][250/586] lr: 5.000000e-04 eta: 12:59:08 time: 0.395315 data_time: 0.032205 memory: 7071 loss_kpt: 0.000810 acc_pose: 0.660317 loss: 0.000810 2022/09/27 20:20:00 - mmengine - INFO - Epoch(train) [15][300/586] lr: 5.000000e-04 eta: 12:58:36 time: 0.389696 data_time: 0.031890 memory: 7071 loss_kpt: 0.000825 acc_pose: 0.809599 loss: 0.000825 2022/09/27 20:20:19 - mmengine - INFO - Epoch(train) [15][350/586] lr: 5.000000e-04 eta: 12:58:01 time: 0.387053 data_time: 0.034729 memory: 7071 loss_kpt: 0.000841 acc_pose: 0.704695 loss: 0.000841 2022/09/27 20:20:38 - mmengine - INFO - Epoch(train) [15][400/586] lr: 5.000000e-04 eta: 12:57:25 time: 0.383637 data_time: 0.035469 memory: 7071 loss_kpt: 0.000827 acc_pose: 0.760951 loss: 0.000827 2022/09/27 20:20:58 - mmengine - INFO - Epoch(train) [15][450/586] lr: 5.000000e-04 eta: 12:56:57 time: 0.395173 data_time: 0.041167 memory: 7071 loss_kpt: 0.000804 acc_pose: 0.789949 loss: 0.000804 2022/09/27 20:21:18 - mmengine - INFO - Epoch(train) [15][500/586] lr: 5.000000e-04 eta: 12:56:34 time: 0.404110 data_time: 0.041305 memory: 7071 loss_kpt: 0.000822 acc_pose: 0.753655 loss: 0.000822 2022/09/27 20:21:38 - mmengine - INFO - Epoch(train) [15][550/586] lr: 5.000000e-04 eta: 12:56:08 time: 0.398410 data_time: 0.034385 memory: 7071 loss_kpt: 0.000818 acc_pose: 0.810502 loss: 0.000818 2022/09/27 20:21:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:22:11 - mmengine - INFO - Epoch(train) [16][50/586] lr: 5.000000e-04 eta: 12:52:14 time: 0.393302 data_time: 0.040604 memory: 7071 loss_kpt: 0.000813 acc_pose: 0.766993 loss: 0.000813 2022/09/27 20:22:32 - mmengine - INFO - Epoch(train) [16][100/586] lr: 5.000000e-04 eta: 12:51:55 time: 0.407053 data_time: 0.045349 memory: 7071 loss_kpt: 0.000824 acc_pose: 0.722368 loss: 0.000824 2022/09/27 20:22:51 - mmengine - INFO - Epoch(train) [16][150/586] lr: 5.000000e-04 eta: 12:51:23 time: 0.388692 data_time: 0.034212 memory: 7071 loss_kpt: 0.000844 acc_pose: 0.775602 loss: 0.000844 2022/09/27 20:23:10 - mmengine - INFO - Epoch(train) [16][200/586] lr: 5.000000e-04 eta: 12:50:51 time: 0.386431 data_time: 0.037389 memory: 7071 loss_kpt: 0.000810 acc_pose: 0.740174 loss: 0.000810 2022/09/27 20:23:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:23:30 - mmengine - INFO - Epoch(train) [16][250/586] lr: 5.000000e-04 eta: 12:50:19 time: 0.386830 data_time: 0.035579 memory: 7071 loss_kpt: 0.000821 acc_pose: 0.750513 loss: 0.000821 2022/09/27 20:23:49 - mmengine - INFO - Epoch(train) [16][300/586] lr: 5.000000e-04 eta: 12:49:47 time: 0.387018 data_time: 0.038508 memory: 7071 loss_kpt: 0.000834 acc_pose: 0.783976 loss: 0.000834 2022/09/27 20:24:08 - mmengine - INFO - Epoch(train) [16][350/586] lr: 5.000000e-04 eta: 12:49:17 time: 0.388414 data_time: 0.032222 memory: 7071 loss_kpt: 0.000808 acc_pose: 0.813357 loss: 0.000808 2022/09/27 20:24:28 - mmengine - INFO - Epoch(train) [16][400/586] lr: 5.000000e-04 eta: 12:48:51 time: 0.396759 data_time: 0.035074 memory: 7071 loss_kpt: 0.000820 acc_pose: 0.802755 loss: 0.000820 2022/09/27 20:24:48 - mmengine - INFO - Epoch(train) [16][450/586] lr: 5.000000e-04 eta: 12:48:20 time: 0.388201 data_time: 0.032573 memory: 7071 loss_kpt: 0.000827 acc_pose: 0.786875 loss: 0.000827 2022/09/27 20:25:07 - mmengine - INFO - Epoch(train) [16][500/586] lr: 5.000000e-04 eta: 12:47:50 time: 0.389257 data_time: 0.029988 memory: 7071 loss_kpt: 0.000805 acc_pose: 0.799705 loss: 0.000805 2022/09/27 20:25:28 - mmengine - INFO - Epoch(train) [16][550/586] lr: 5.000000e-04 eta: 12:47:40 time: 0.421431 data_time: 0.030690 memory: 7071 loss_kpt: 0.000822 acc_pose: 0.777996 loss: 0.000822 2022/09/27 20:25:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:26:04 - mmengine - INFO - Epoch(train) [17][50/586] lr: 5.000000e-04 eta: 12:44:08 time: 0.402152 data_time: 0.062190 memory: 7071 loss_kpt: 0.000819 acc_pose: 0.741117 loss: 0.000819 2022/09/27 20:26:25 - mmengine - INFO - Epoch(train) [17][100/586] lr: 5.000000e-04 eta: 12:43:56 time: 0.417740 data_time: 0.034076 memory: 7071 loss_kpt: 0.000790 acc_pose: 0.769481 loss: 0.000790 2022/09/27 20:26:45 - mmengine - INFO - Epoch(train) [17][150/586] lr: 5.000000e-04 eta: 12:43:39 time: 0.409229 data_time: 0.043653 memory: 7071 loss_kpt: 0.000818 acc_pose: 0.714974 loss: 0.000818 2022/09/27 20:27:05 - mmengine - INFO - Epoch(train) [17][200/586] lr: 5.000000e-04 eta: 12:43:17 time: 0.399129 data_time: 0.034990 memory: 7071 loss_kpt: 0.000804 acc_pose: 0.817219 loss: 0.000804 2022/09/27 20:27:25 - mmengine - INFO - Epoch(train) [17][250/586] lr: 5.000000e-04 eta: 12:42:57 time: 0.404451 data_time: 0.043937 memory: 7071 loss_kpt: 0.000777 acc_pose: 0.628628 loss: 0.000777 2022/09/27 20:27:45 - mmengine - INFO - Epoch(train) [17][300/586] lr: 5.000000e-04 eta: 12:42:27 time: 0.387553 data_time: 0.047721 memory: 7071 loss_kpt: 0.000799 acc_pose: 0.778675 loss: 0.000799 2022/09/27 20:28:05 - mmengine - INFO - Epoch(train) [17][350/586] lr: 5.000000e-04 eta: 12:42:10 time: 0.407438 data_time: 0.035328 memory: 7071 loss_kpt: 0.000799 acc_pose: 0.782295 loss: 0.000799 2022/09/27 20:28:24 - mmengine - INFO - Epoch(train) [17][400/586] lr: 5.000000e-04 eta: 12:41:41 time: 0.389766 data_time: 0.035137 memory: 7071 loss_kpt: 0.000814 acc_pose: 0.741453 loss: 0.000814 2022/09/27 20:28:45 - mmengine - INFO - Epoch(train) [17][450/586] lr: 5.000000e-04 eta: 12:41:22 time: 0.405248 data_time: 0.031759 memory: 7071 loss_kpt: 0.000802 acc_pose: 0.829577 loss: 0.000802 2022/09/27 20:29:06 - mmengine - INFO - Epoch(train) [17][500/586] lr: 5.000000e-04 eta: 12:41:18 time: 0.431833 data_time: 0.046734 memory: 7071 loss_kpt: 0.000806 acc_pose: 0.764073 loss: 0.000806 2022/09/27 20:29:26 - mmengine - INFO - Epoch(train) [17][550/586] lr: 5.000000e-04 eta: 12:40:54 time: 0.395489 data_time: 0.038127 memory: 7071 loss_kpt: 0.000803 acc_pose: 0.667724 loss: 0.000803 2022/09/27 20:29:41 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:29:56 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:30:01 - mmengine - INFO - Epoch(train) [18][50/586] lr: 5.000000e-04 eta: 12:37:34 time: 0.402555 data_time: 0.050027 memory: 7071 loss_kpt: 0.000794 acc_pose: 0.752551 loss: 0.000794 2022/09/27 20:30:21 - mmengine - INFO - Epoch(train) [18][100/586] lr: 5.000000e-04 eta: 12:37:12 time: 0.397494 data_time: 0.041056 memory: 7071 loss_kpt: 0.000781 acc_pose: 0.743381 loss: 0.000781 2022/09/27 20:30:41 - mmengine - INFO - Epoch(train) [18][150/586] lr: 5.000000e-04 eta: 12:36:56 time: 0.410375 data_time: 0.037770 memory: 7071 loss_kpt: 0.000819 acc_pose: 0.748228 loss: 0.000819 2022/09/27 20:31:01 - mmengine - INFO - Epoch(train) [18][200/586] lr: 5.000000e-04 eta: 12:36:34 time: 0.398842 data_time: 0.031903 memory: 7071 loss_kpt: 0.000797 acc_pose: 0.727499 loss: 0.000797 2022/09/27 20:31:21 - mmengine - INFO - Epoch(train) [18][250/586] lr: 5.000000e-04 eta: 12:36:10 time: 0.394702 data_time: 0.035027 memory: 7071 loss_kpt: 0.000778 acc_pose: 0.676255 loss: 0.000778 2022/09/27 20:31:41 - mmengine - INFO - Epoch(train) [18][300/586] lr: 5.000000e-04 eta: 12:35:52 time: 0.405346 data_time: 0.028133 memory: 7071 loss_kpt: 0.000789 acc_pose: 0.819520 loss: 0.000789 2022/09/27 20:32:01 - mmengine - INFO - Epoch(train) [18][350/586] lr: 5.000000e-04 eta: 12:35:34 time: 0.406151 data_time: 0.051341 memory: 7071 loss_kpt: 0.000801 acc_pose: 0.751696 loss: 0.000801 2022/09/27 20:32:21 - mmengine - INFO - Epoch(train) [18][400/586] lr: 5.000000e-04 eta: 12:35:04 time: 0.383205 data_time: 0.032977 memory: 7071 loss_kpt: 0.000799 acc_pose: 0.726092 loss: 0.000799 2022/09/27 20:32:40 - mmengine - INFO - Epoch(train) [18][450/586] lr: 5.000000e-04 eta: 12:34:37 time: 0.389628 data_time: 0.036589 memory: 7071 loss_kpt: 0.000792 acc_pose: 0.694159 loss: 0.000792 2022/09/27 20:33:00 - mmengine - INFO - Epoch(train) [18][500/586] lr: 5.000000e-04 eta: 12:34:14 time: 0.396222 data_time: 0.035271 memory: 7071 loss_kpt: 0.000804 acc_pose: 0.789929 loss: 0.000804 2022/09/27 20:33:19 - mmengine - INFO - Epoch(train) [18][550/586] lr: 5.000000e-04 eta: 12:33:44 time: 0.384803 data_time: 0.042727 memory: 7071 loss_kpt: 0.000788 acc_pose: 0.778626 loss: 0.000788 2022/09/27 20:33:33 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:33:53 - mmengine - INFO - Epoch(train) [19][50/586] lr: 5.000000e-04 eta: 12:30:35 time: 0.398529 data_time: 0.040068 memory: 7071 loss_kpt: 0.000785 acc_pose: 0.769044 loss: 0.000785 2022/09/27 20:34:13 - mmengine - INFO - Epoch(train) [19][100/586] lr: 5.000000e-04 eta: 12:30:12 time: 0.395077 data_time: 0.039954 memory: 7071 loss_kpt: 0.000788 acc_pose: 0.779125 loss: 0.000788 2022/09/27 20:34:32 - mmengine - INFO - Epoch(train) [19][150/586] lr: 5.000000e-04 eta: 12:29:43 time: 0.383490 data_time: 0.034490 memory: 7071 loss_kpt: 0.000814 acc_pose: 0.773059 loss: 0.000814 2022/09/27 20:34:52 - mmengine - INFO - Epoch(train) [19][200/586] lr: 5.000000e-04 eta: 12:29:21 time: 0.396225 data_time: 0.036641 memory: 7071 loss_kpt: 0.000773 acc_pose: 0.678676 loss: 0.000773 2022/09/27 20:35:12 - mmengine - INFO - Epoch(train) [19][250/586] lr: 5.000000e-04 eta: 12:29:00 time: 0.399340 data_time: 0.048592 memory: 7071 loss_kpt: 0.000817 acc_pose: 0.710858 loss: 0.000817 2022/09/27 20:35:31 - mmengine - INFO - Epoch(train) [19][300/586] lr: 5.000000e-04 eta: 12:28:31 time: 0.382512 data_time: 0.031732 memory: 7071 loss_kpt: 0.000823 acc_pose: 0.819402 loss: 0.000823 2022/09/27 20:35:52 - mmengine - INFO - Epoch(train) [19][350/586] lr: 5.000000e-04 eta: 12:28:21 time: 0.419480 data_time: 0.029687 memory: 7071 loss_kpt: 0.000791 acc_pose: 0.757583 loss: 0.000791 2022/09/27 20:36:12 - mmengine - INFO - Epoch(train) [19][400/586] lr: 5.000000e-04 eta: 12:27:58 time: 0.395551 data_time: 0.031095 memory: 7071 loss_kpt: 0.000786 acc_pose: 0.719476 loss: 0.000786 2022/09/27 20:36:31 - mmengine - INFO - Epoch(train) [19][450/586] lr: 5.000000e-04 eta: 12:27:33 time: 0.389847 data_time: 0.046025 memory: 7071 loss_kpt: 0.000787 acc_pose: 0.776180 loss: 0.000787 2022/09/27 20:36:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:36:51 - mmengine - INFO - Epoch(train) [19][500/586] lr: 5.000000e-04 eta: 12:27:09 time: 0.391635 data_time: 0.032014 memory: 7071 loss_kpt: 0.000793 acc_pose: 0.757889 loss: 0.000793 2022/09/27 20:37:10 - mmengine - INFO - Epoch(train) [19][550/586] lr: 5.000000e-04 eta: 12:26:42 time: 0.388117 data_time: 0.031587 memory: 7071 loss_kpt: 0.000791 acc_pose: 0.873925 loss: 0.000791 2022/09/27 20:37:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:37:45 - mmengine - INFO - Epoch(train) [20][50/586] lr: 5.000000e-04 eta: 12:23:56 time: 0.423797 data_time: 0.049865 memory: 7071 loss_kpt: 0.000800 acc_pose: 0.794648 loss: 0.000800 2022/09/27 20:38:05 - mmengine - INFO - Epoch(train) [20][100/586] lr: 5.000000e-04 eta: 12:23:29 time: 0.385779 data_time: 0.034033 memory: 7071 loss_kpt: 0.000788 acc_pose: 0.783886 loss: 0.000788 2022/09/27 20:38:25 - mmengine - INFO - Epoch(train) [20][150/586] lr: 5.000000e-04 eta: 12:23:11 time: 0.403329 data_time: 0.033898 memory: 7071 loss_kpt: 0.000810 acc_pose: 0.819871 loss: 0.000810 2022/09/27 20:38:44 - mmengine - INFO - Epoch(train) [20][200/586] lr: 5.000000e-04 eta: 12:22:47 time: 0.389931 data_time: 0.033308 memory: 7071 loss_kpt: 0.000800 acc_pose: 0.729597 loss: 0.000800 2022/09/27 20:39:05 - mmengine - INFO - Epoch(train) [20][250/586] lr: 5.000000e-04 eta: 12:22:37 time: 0.418286 data_time: 0.038312 memory: 7071 loss_kpt: 0.000771 acc_pose: 0.695554 loss: 0.000771 2022/09/27 20:39:25 - mmengine - INFO - Epoch(train) [20][300/586] lr: 5.000000e-04 eta: 12:22:18 time: 0.401628 data_time: 0.032757 memory: 7071 loss_kpt: 0.000798 acc_pose: 0.795922 loss: 0.000798 2022/09/27 20:39:46 - mmengine - INFO - Epoch(train) [20][350/586] lr: 5.000000e-04 eta: 12:22:08 time: 0.418528 data_time: 0.059418 memory: 7071 loss_kpt: 0.000768 acc_pose: 0.815256 loss: 0.000768 2022/09/27 20:40:05 - mmengine - INFO - Epoch(train) [20][400/586] lr: 5.000000e-04 eta: 12:21:39 time: 0.381260 data_time: 0.039904 memory: 7071 loss_kpt: 0.000800 acc_pose: 0.689802 loss: 0.000800 2022/09/27 20:40:25 - mmengine - INFO - Epoch(train) [20][450/586] lr: 5.000000e-04 eta: 12:21:15 time: 0.389739 data_time: 0.038361 memory: 7071 loss_kpt: 0.000775 acc_pose: 0.795195 loss: 0.000775 2022/09/27 20:40:46 - mmengine - INFO - Epoch(train) [20][500/586] lr: 5.000000e-04 eta: 12:21:06 time: 0.422597 data_time: 0.042729 memory: 7071 loss_kpt: 0.000818 acc_pose: 0.663383 loss: 0.000818 2022/09/27 20:41:06 - mmengine - INFO - Epoch(train) [20][550/586] lr: 5.000000e-04 eta: 12:20:44 time: 0.395783 data_time: 0.031290 memory: 7071 loss_kpt: 0.000777 acc_pose: 0.698439 loss: 0.000777 2022/09/27 20:41:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:41:20 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/09/27 20:41:44 - mmengine - INFO - Epoch(val) [20][50/407] eta: 0:01:57 time: 0.327953 data_time: 0.119077 memory: 7071 2022/09/27 20:42:00 - mmengine - INFO - Epoch(val) [20][100/407] eta: 0:01:37 time: 0.318451 data_time: 0.120007 memory: 1674 2022/09/27 20:42:17 - mmengine - INFO - Epoch(val) [20][150/407] eta: 0:01:26 time: 0.337045 data_time: 0.120742 memory: 1674 2022/09/27 20:42:34 - mmengine - INFO - Epoch(val) [20][200/407] eta: 0:01:08 time: 0.329973 data_time: 0.103978 memory: 1674 2022/09/27 20:42:50 - mmengine - INFO - Epoch(val) [20][250/407] eta: 0:00:51 time: 0.326412 data_time: 0.108888 memory: 1674 2022/09/27 20:43:05 - mmengine - INFO - Epoch(val) [20][300/407] eta: 0:00:32 time: 0.307568 data_time: 0.104636 memory: 1674 2022/09/27 20:43:22 - mmengine - INFO - Epoch(val) [20][350/407] eta: 0:00:19 time: 0.342847 data_time: 0.132239 memory: 1674 2022/09/27 20:43:34 - mmengine - INFO - Epoch(val) [20][400/407] eta: 0:00:01 time: 0.234435 data_time: 0.101864 memory: 1674 2022/09/27 20:44:07 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 20:44:20 - mmengine - INFO - Epoch(val) [20][407/407] coco/AP: 0.653997 coco/AP .5: 0.871817 coco/AP .75: 0.730833 coco/AP (M): 0.621756 coco/AP (L): 0.717200 coco/AR: 0.717664 coco/AR .5: 0.915932 coco/AR .75: 0.789200 coco/AR (M): 0.674980 coco/AR (L): 0.778149 2022/09/27 20:44:20 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_10.pth is removed 2022/09/27 20:44:23 - mmengine - INFO - The best checkpoint with 0.6540 coco/AP at 20 epoch is saved to best_coco/AP_epoch_20.pth. 2022/09/27 20:44:43 - mmengine - INFO - Epoch(train) [21][50/586] lr: 5.000000e-04 eta: 12:17:57 time: 0.404674 data_time: 0.035676 memory: 7071 loss_kpt: 0.000795 acc_pose: 0.788023 loss: 0.000795 2022/09/27 20:45:03 - mmengine - INFO - Epoch(train) [21][100/586] lr: 5.000000e-04 eta: 12:17:38 time: 0.399610 data_time: 0.028973 memory: 7071 loss_kpt: 0.000784 acc_pose: 0.795606 loss: 0.000784 2022/09/27 20:45:23 - mmengine - INFO - Epoch(train) [21][150/586] lr: 5.000000e-04 eta: 12:17:17 time: 0.395597 data_time: 0.041413 memory: 7071 loss_kpt: 0.000794 acc_pose: 0.746800 loss: 0.000794 2022/09/27 20:45:43 - mmengine - INFO - Epoch(train) [21][200/586] lr: 5.000000e-04 eta: 12:16:58 time: 0.399391 data_time: 0.029224 memory: 7071 loss_kpt: 0.000783 acc_pose: 0.726221 loss: 0.000783 2022/09/27 20:46:03 - mmengine - INFO - Epoch(train) [21][250/586] lr: 5.000000e-04 eta: 12:16:43 time: 0.408500 data_time: 0.047300 memory: 7071 loss_kpt: 0.000775 acc_pose: 0.705749 loss: 0.000775 2022/09/27 20:46:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:46:23 - mmengine - INFO - Epoch(train) [21][300/586] lr: 5.000000e-04 eta: 12:16:20 time: 0.392284 data_time: 0.031701 memory: 7071 loss_kpt: 0.000777 acc_pose: 0.740770 loss: 0.000777 2022/09/27 20:46:43 - mmengine - INFO - Epoch(train) [21][350/586] lr: 5.000000e-04 eta: 12:16:04 time: 0.406120 data_time: 0.036572 memory: 7071 loss_kpt: 0.000769 acc_pose: 0.824450 loss: 0.000769 2022/09/27 20:47:02 - mmengine - INFO - Epoch(train) [21][400/586] lr: 5.000000e-04 eta: 12:15:38 time: 0.383956 data_time: 0.033038 memory: 7071 loss_kpt: 0.000767 acc_pose: 0.788366 loss: 0.000767 2022/09/27 20:47:21 - mmengine - INFO - Epoch(train) [21][450/586] lr: 5.000000e-04 eta: 12:15:11 time: 0.382315 data_time: 0.034026 memory: 7071 loss_kpt: 0.000795 acc_pose: 0.787723 loss: 0.000795 2022/09/27 20:47:41 - mmengine - INFO - Epoch(train) [21][500/586] lr: 5.000000e-04 eta: 12:14:49 time: 0.393935 data_time: 0.031493 memory: 7071 loss_kpt: 0.000765 acc_pose: 0.817243 loss: 0.000765 2022/09/27 20:48:01 - mmengine - INFO - Epoch(train) [21][550/586] lr: 5.000000e-04 eta: 12:14:26 time: 0.389742 data_time: 0.029275 memory: 7071 loss_kpt: 0.000788 acc_pose: 0.776127 loss: 0.000788 2022/09/27 20:48:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:48:34 - mmengine - INFO - Epoch(train) [22][50/586] lr: 5.000000e-04 eta: 12:11:43 time: 0.398139 data_time: 0.046251 memory: 7071 loss_kpt: 0.000796 acc_pose: 0.723957 loss: 0.000796 2022/09/27 20:48:54 - mmengine - INFO - Epoch(train) [22][100/586] lr: 5.000000e-04 eta: 12:11:19 time: 0.386882 data_time: 0.034464 memory: 7071 loss_kpt: 0.000753 acc_pose: 0.784569 loss: 0.000753 2022/09/27 20:49:13 - mmengine - INFO - Epoch(train) [22][150/586] lr: 5.000000e-04 eta: 12:10:57 time: 0.391065 data_time: 0.034464 memory: 7071 loss_kpt: 0.000815 acc_pose: 0.786498 loss: 0.000815 2022/09/27 20:49:33 - mmengine - INFO - Epoch(train) [22][200/586] lr: 5.000000e-04 eta: 12:10:38 time: 0.398799 data_time: 0.033357 memory: 7071 loss_kpt: 0.000807 acc_pose: 0.736288 loss: 0.000807 2022/09/27 20:49:52 - mmengine - INFO - Epoch(train) [22][250/586] lr: 5.000000e-04 eta: 12:10:10 time: 0.376819 data_time: 0.037657 memory: 7071 loss_kpt: 0.000786 acc_pose: 0.762289 loss: 0.000786 2022/09/27 20:50:12 - mmengine - INFO - Epoch(train) [22][300/586] lr: 5.000000e-04 eta: 12:09:49 time: 0.395186 data_time: 0.030587 memory: 7071 loss_kpt: 0.000798 acc_pose: 0.823822 loss: 0.000798 2022/09/27 20:50:34 - mmengine - INFO - Epoch(train) [22][350/586] lr: 5.000000e-04 eta: 12:09:52 time: 0.447072 data_time: 0.043513 memory: 7071 loss_kpt: 0.000788 acc_pose: 0.793947 loss: 0.000788 2022/09/27 20:51:43 - mmengine - INFO - Epoch(train) [22][400/586] lr: 5.000000e-04 eta: 12:16:42 time: 1.386911 data_time: 0.289737 memory: 7071 loss_kpt: 0.000799 acc_pose: 0.820890 loss: 0.000799 2022/09/27 20:52:55 - mmengine - INFO - Epoch(train) [22][450/586] lr: 5.000000e-04 eta: 12:23:46 time: 1.427594 data_time: 0.180076 memory: 7071 loss_kpt: 0.000784 acc_pose: 0.788718 loss: 0.000784 2022/09/27 20:53:29 - mmengine - INFO - Epoch(train) [22][500/586] lr: 5.000000e-04 eta: 12:25:29 time: 0.690955 data_time: 0.034604 memory: 7071 loss_kpt: 0.000795 acc_pose: 0.756058 loss: 0.000795 2022/09/27 20:53:56 - mmengine - INFO - Epoch(train) [22][550/586] lr: 5.000000e-04 eta: 12:26:03 time: 0.532141 data_time: 0.034642 memory: 7071 loss_kpt: 0.000776 acc_pose: 0.772637 loss: 0.000776 2022/09/27 20:54:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:54:37 - mmengine - INFO - Epoch(train) [23][50/586] lr: 5.000000e-04 eta: 12:24:03 time: 0.500281 data_time: 0.054731 memory: 7071 loss_kpt: 0.000791 acc_pose: 0.694974 loss: 0.000791 2022/09/27 20:55:01 - mmengine - INFO - Epoch(train) [23][100/586] lr: 5.000000e-04 eta: 12:24:10 time: 0.467898 data_time: 0.128445 memory: 7071 loss_kpt: 0.000795 acc_pose: 0.793682 loss: 0.000795 2022/09/27 20:55:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:55:22 - mmengine - INFO - Epoch(train) [23][150/586] lr: 5.000000e-04 eta: 12:24:01 time: 0.433731 data_time: 0.035389 memory: 7071 loss_kpt: 0.000756 acc_pose: 0.795985 loss: 0.000756 2022/09/27 20:55:44 - mmengine - INFO - Epoch(train) [23][200/586] lr: 5.000000e-04 eta: 12:23:55 time: 0.438974 data_time: 0.035320 memory: 7071 loss_kpt: 0.000785 acc_pose: 0.771554 loss: 0.000785 2022/09/27 20:56:15 - mmengine - INFO - Epoch(train) [23][250/586] lr: 5.000000e-04 eta: 12:25:00 time: 0.611044 data_time: 0.042528 memory: 7071 loss_kpt: 0.000767 acc_pose: 0.799358 loss: 0.000767 2022/09/27 20:56:40 - mmengine - INFO - Epoch(train) [23][300/586] lr: 5.000000e-04 eta: 12:25:21 time: 0.505026 data_time: 0.036845 memory: 7071 loss_kpt: 0.000770 acc_pose: 0.730260 loss: 0.000770 2022/09/27 20:57:04 - mmengine - INFO - Epoch(train) [23][350/586] lr: 5.000000e-04 eta: 12:25:31 time: 0.479775 data_time: 0.033433 memory: 7071 loss_kpt: 0.000767 acc_pose: 0.789435 loss: 0.000767 2022/09/27 20:57:27 - mmengine - INFO - Epoch(train) [23][400/586] lr: 5.000000e-04 eta: 12:25:35 time: 0.466394 data_time: 0.037061 memory: 7071 loss_kpt: 0.000760 acc_pose: 0.865772 loss: 0.000760 2022/09/27 20:57:50 - mmengine - INFO - Epoch(train) [23][450/586] lr: 5.000000e-04 eta: 12:25:30 time: 0.445922 data_time: 0.034569 memory: 7071 loss_kpt: 0.000764 acc_pose: 0.820618 loss: 0.000764 2022/09/27 20:58:14 - mmengine - INFO - Epoch(train) [23][500/586] lr: 5.000000e-04 eta: 12:25:42 time: 0.487197 data_time: 0.030250 memory: 7071 loss_kpt: 0.000767 acc_pose: 0.749530 loss: 0.000767 2022/09/27 20:58:36 - mmengine - INFO - Epoch(train) [23][550/586] lr: 5.000000e-04 eta: 12:25:35 time: 0.440552 data_time: 0.029301 memory: 7071 loss_kpt: 0.000786 acc_pose: 0.732809 loss: 0.000786 2022/09/27 20:58:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 20:59:14 - mmengine - INFO - Epoch(train) [24][50/586] lr: 5.000000e-04 eta: 12:22:56 time: 0.395688 data_time: 0.043667 memory: 7071 loss_kpt: 0.000771 acc_pose: 0.738498 loss: 0.000771 2022/09/27 20:59:34 - mmengine - INFO - Epoch(train) [24][100/586] lr: 5.000000e-04 eta: 12:22:31 time: 0.394246 data_time: 0.047034 memory: 7071 loss_kpt: 0.000777 acc_pose: 0.767515 loss: 0.000777 2022/09/27 20:59:53 - mmengine - INFO - Epoch(train) [24][150/586] lr: 5.000000e-04 eta: 12:22:02 time: 0.385549 data_time: 0.029394 memory: 7071 loss_kpt: 0.000799 acc_pose: 0.722388 loss: 0.000799 2022/09/27 21:00:13 - mmengine - INFO - Epoch(train) [24][200/586] lr: 5.000000e-04 eta: 12:21:33 time: 0.387032 data_time: 0.030041 memory: 7071 loss_kpt: 0.000767 acc_pose: 0.821974 loss: 0.000767 2022/09/27 21:00:33 - mmengine - INFO - Epoch(train) [24][250/586] lr: 5.000000e-04 eta: 12:21:15 time: 0.410514 data_time: 0.040796 memory: 7071 loss_kpt: 0.000752 acc_pose: 0.826837 loss: 0.000752 2022/09/27 21:00:52 - mmengine - INFO - Epoch(train) [24][300/586] lr: 5.000000e-04 eta: 12:20:45 time: 0.382784 data_time: 0.031949 memory: 7071 loss_kpt: 0.000773 acc_pose: 0.805924 loss: 0.000773 2022/09/27 21:01:42 - mmengine - INFO - Epoch(train) [24][350/586] lr: 5.000000e-04 eta: 12:24:12 time: 0.982601 data_time: 0.035934 memory: 7071 loss_kpt: 0.000764 acc_pose: 0.790968 loss: 0.000764 2022/09/27 21:02:49 - mmengine - INFO - Epoch(train) [24][400/586] lr: 5.000000e-04 eta: 12:30:03 time: 1.353776 data_time: 0.116831 memory: 7071 loss_kpt: 0.000755 acc_pose: 0.751714 loss: 0.000755 2022/09/27 21:03:57 - mmengine - INFO - Epoch(train) [24][450/586] lr: 5.000000e-04 eta: 12:35:54 time: 1.360958 data_time: 0.109603 memory: 7071 loss_kpt: 0.000766 acc_pose: 0.745752 loss: 0.000766 2022/09/27 21:04:49 - mmengine - INFO - Epoch(train) [24][500/586] lr: 5.000000e-04 eta: 12:39:33 time: 1.030254 data_time: 0.128989 memory: 7071 loss_kpt: 0.000759 acc_pose: 0.815276 loss: 0.000759 2022/09/27 21:05:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:05:19 - mmengine - INFO - Epoch(train) [24][550/586] lr: 5.000000e-04 eta: 12:40:25 time: 0.604678 data_time: 0.128493 memory: 7071 loss_kpt: 0.000763 acc_pose: 0.708276 loss: 0.000763 2022/09/27 21:05:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:05:59 - mmengine - INFO - Epoch(train) [25][50/586] lr: 5.000000e-04 eta: 12:38:17 time: 0.480680 data_time: 0.041427 memory: 7071 loss_kpt: 0.000739 acc_pose: 0.778516 loss: 0.000739 2022/09/27 21:06:33 - mmengine - INFO - Epoch(train) [25][100/586] lr: 5.000000e-04 eta: 12:39:36 time: 0.678325 data_time: 0.075871 memory: 7071 loss_kpt: 0.000752 acc_pose: 0.806931 loss: 0.000752 2022/09/27 21:07:04 - mmengine - INFO - Epoch(train) [25][150/586] lr: 5.000000e-04 eta: 12:40:30 time: 0.613134 data_time: 0.030787 memory: 7071 loss_kpt: 0.000764 acc_pose: 0.818418 loss: 0.000764 2022/09/27 21:07:29 - mmengine - INFO - Epoch(train) [25][200/586] lr: 5.000000e-04 eta: 12:40:44 time: 0.510477 data_time: 0.043274 memory: 7071 loss_kpt: 0.000768 acc_pose: 0.774826 loss: 0.000768 2022/09/27 21:07:52 - mmengine - INFO - Epoch(train) [25][250/586] lr: 5.000000e-04 eta: 12:40:35 time: 0.452478 data_time: 0.033673 memory: 7071 loss_kpt: 0.000767 acc_pose: 0.860255 loss: 0.000767 2022/09/27 21:08:19 - mmengine - INFO - Epoch(train) [25][300/586] lr: 5.000000e-04 eta: 12:41:03 time: 0.549819 data_time: 0.081573 memory: 7071 loss_kpt: 0.000751 acc_pose: 0.796470 loss: 0.000751 2022/09/27 21:08:47 - mmengine - INFO - Epoch(train) [25][350/586] lr: 5.000000e-04 eta: 12:41:31 time: 0.548294 data_time: 0.043185 memory: 7071 loss_kpt: 0.000742 acc_pose: 0.745074 loss: 0.000742 2022/09/27 21:09:11 - mmengine - INFO - Epoch(train) [25][400/586] lr: 5.000000e-04 eta: 12:41:33 time: 0.483861 data_time: 0.055651 memory: 7071 loss_kpt: 0.000761 acc_pose: 0.823978 loss: 0.000761 2022/09/27 21:09:36 - mmengine - INFO - Epoch(train) [25][450/586] lr: 5.000000e-04 eta: 12:41:42 time: 0.499617 data_time: 0.031402 memory: 7071 loss_kpt: 0.000755 acc_pose: 0.751469 loss: 0.000755 2022/09/27 21:09:58 - mmengine - INFO - Epoch(train) [25][500/586] lr: 5.000000e-04 eta: 12:41:28 time: 0.439566 data_time: 0.049273 memory: 7071 loss_kpt: 0.000766 acc_pose: 0.815723 loss: 0.000766 2022/09/27 21:10:19 - mmengine - INFO - Epoch(train) [25][550/586] lr: 5.000000e-04 eta: 12:41:07 time: 0.423165 data_time: 0.043612 memory: 7071 loss_kpt: 0.000762 acc_pose: 0.714003 loss: 0.000762 2022/09/27 21:10:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:10:58 - mmengine - INFO - Epoch(train) [26][50/586] lr: 5.000000e-04 eta: 12:38:39 time: 0.418805 data_time: 0.044434 memory: 7071 loss_kpt: 0.000752 acc_pose: 0.807764 loss: 0.000752 2022/09/27 21:11:18 - mmengine - INFO - Epoch(train) [26][100/586] lr: 5.000000e-04 eta: 12:38:07 time: 0.390517 data_time: 0.029648 memory: 7071 loss_kpt: 0.000768 acc_pose: 0.675838 loss: 0.000768 2022/09/27 21:11:38 - mmengine - INFO - Epoch(train) [26][150/586] lr: 5.000000e-04 eta: 12:37:40 time: 0.403896 data_time: 0.030383 memory: 7071 loss_kpt: 0.000768 acc_pose: 0.812276 loss: 0.000768 2022/09/27 21:11:57 - mmengine - INFO - Epoch(train) [26][200/586] lr: 5.000000e-04 eta: 12:37:05 time: 0.382781 data_time: 0.030952 memory: 7071 loss_kpt: 0.000797 acc_pose: 0.748194 loss: 0.000797 2022/09/27 21:12:17 - mmengine - INFO - Epoch(train) [26][250/586] lr: 5.000000e-04 eta: 12:36:37 time: 0.399451 data_time: 0.040055 memory: 7071 loss_kpt: 0.000743 acc_pose: 0.804633 loss: 0.000743 2022/09/27 21:12:36 - mmengine - INFO - Epoch(train) [26][300/586] lr: 5.000000e-04 eta: 12:36:05 time: 0.389810 data_time: 0.031951 memory: 7071 loss_kpt: 0.000765 acc_pose: 0.756326 loss: 0.000765 2022/09/27 21:12:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:12:55 - mmengine - INFO - Epoch(train) [26][350/586] lr: 5.000000e-04 eta: 12:35:30 time: 0.381082 data_time: 0.029644 memory: 7071 loss_kpt: 0.000774 acc_pose: 0.767795 loss: 0.000774 2022/09/27 21:13:15 - mmengine - INFO - Epoch(train) [26][400/586] lr: 5.000000e-04 eta: 12:35:02 time: 0.399313 data_time: 0.031745 memory: 7071 loss_kpt: 0.000772 acc_pose: 0.835398 loss: 0.000772 2022/09/27 21:13:35 - mmengine - INFO - Epoch(train) [26][450/586] lr: 5.000000e-04 eta: 12:34:31 time: 0.389964 data_time: 0.046476 memory: 7071 loss_kpt: 0.000772 acc_pose: 0.801469 loss: 0.000772 2022/09/27 21:13:55 - mmengine - INFO - Epoch(train) [26][500/586] lr: 5.000000e-04 eta: 12:34:00 time: 0.392599 data_time: 0.034606 memory: 7071 loss_kpt: 0.000784 acc_pose: 0.796809 loss: 0.000784 2022/09/27 21:14:14 - mmengine - INFO - Epoch(train) [26][550/586] lr: 5.000000e-04 eta: 12:33:31 time: 0.396214 data_time: 0.033569 memory: 7071 loss_kpt: 0.000777 acc_pose: 0.814469 loss: 0.000777 2022/09/27 21:14:29 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:14:50 - mmengine - INFO - Epoch(train) [27][50/586] lr: 5.000000e-04 eta: 12:31:08 time: 0.417394 data_time: 0.041206 memory: 7071 loss_kpt: 0.000779 acc_pose: 0.826508 loss: 0.000779 2022/09/27 21:15:10 - mmengine - INFO - Epoch(train) [27][100/586] lr: 5.000000e-04 eta: 12:30:42 time: 0.403378 data_time: 0.031989 memory: 7071 loss_kpt: 0.000735 acc_pose: 0.763696 loss: 0.000735 2022/09/27 21:15:30 - mmengine - INFO - Epoch(train) [27][150/586] lr: 5.000000e-04 eta: 12:30:17 time: 0.405956 data_time: 0.039599 memory: 7071 loss_kpt: 0.000764 acc_pose: 0.775032 loss: 0.000764 2022/09/27 21:15:49 - mmengine - INFO - Epoch(train) [27][200/586] lr: 5.000000e-04 eta: 12:29:44 time: 0.385797 data_time: 0.037005 memory: 7071 loss_kpt: 0.000774 acc_pose: 0.696080 loss: 0.000774 2022/09/27 21:16:09 - mmengine - INFO - Epoch(train) [27][250/586] lr: 5.000000e-04 eta: 12:29:12 time: 0.384603 data_time: 0.030260 memory: 7071 loss_kpt: 0.000773 acc_pose: 0.716330 loss: 0.000773 2022/09/27 21:16:28 - mmengine - INFO - Epoch(train) [27][300/586] lr: 5.000000e-04 eta: 12:28:41 time: 0.387666 data_time: 0.035342 memory: 7071 loss_kpt: 0.000748 acc_pose: 0.762797 loss: 0.000748 2022/09/27 21:16:48 - mmengine - INFO - Epoch(train) [27][350/586] lr: 5.000000e-04 eta: 12:28:11 time: 0.391173 data_time: 0.032853 memory: 7071 loss_kpt: 0.000740 acc_pose: 0.764803 loss: 0.000740 2022/09/27 21:17:06 - mmengine - INFO - Epoch(train) [27][400/586] lr: 5.000000e-04 eta: 12:27:36 time: 0.377579 data_time: 0.034248 memory: 7071 loss_kpt: 0.000755 acc_pose: 0.786233 loss: 0.000755 2022/09/27 21:17:26 - mmengine - INFO - Epoch(train) [27][450/586] lr: 5.000000e-04 eta: 12:27:07 time: 0.394434 data_time: 0.031949 memory: 7071 loss_kpt: 0.000761 acc_pose: 0.755530 loss: 0.000761 2022/09/27 21:17:46 - mmengine - INFO - Epoch(train) [27][500/586] lr: 5.000000e-04 eta: 12:26:38 time: 0.391986 data_time: 0.043522 memory: 7071 loss_kpt: 0.000753 acc_pose: 0.852708 loss: 0.000753 2022/09/27 21:18:06 - mmengine - INFO - Epoch(train) [27][550/586] lr: 5.000000e-04 eta: 12:26:12 time: 0.402941 data_time: 0.036745 memory: 7071 loss_kpt: 0.000765 acc_pose: 0.713184 loss: 0.000765 2022/09/27 21:18:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:18:40 - mmengine - INFO - Epoch(train) [28][50/586] lr: 5.000000e-04 eta: 12:23:54 time: 0.415854 data_time: 0.051559 memory: 7071 loss_kpt: 0.000738 acc_pose: 0.748402 loss: 0.000738 2022/09/27 21:18:59 - mmengine - INFO - Epoch(train) [28][100/586] lr: 5.000000e-04 eta: 12:23:23 time: 0.385111 data_time: 0.034854 memory: 7071 loss_kpt: 0.000749 acc_pose: 0.800307 loss: 0.000749 2022/09/27 21:19:19 - mmengine - INFO - Epoch(train) [28][150/586] lr: 5.000000e-04 eta: 12:22:50 time: 0.382124 data_time: 0.037721 memory: 7071 loss_kpt: 0.000740 acc_pose: 0.708916 loss: 0.000740 2022/09/27 21:19:29 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:19:38 - mmengine - INFO - Epoch(train) [28][200/586] lr: 5.000000e-04 eta: 12:22:22 time: 0.394826 data_time: 0.034451 memory: 7071 loss_kpt: 0.000762 acc_pose: 0.827106 loss: 0.000762 2022/09/27 21:19:58 - mmengine - INFO - Epoch(train) [28][250/586] lr: 5.000000e-04 eta: 12:21:55 time: 0.397074 data_time: 0.041205 memory: 7071 loss_kpt: 0.000736 acc_pose: 0.798551 loss: 0.000736 2022/09/27 21:20:18 - mmengine - INFO - Epoch(train) [28][300/586] lr: 5.000000e-04 eta: 12:21:27 time: 0.394682 data_time: 0.041980 memory: 7071 loss_kpt: 0.000749 acc_pose: 0.801054 loss: 0.000749 2022/09/27 21:20:37 - mmengine - INFO - Epoch(train) [28][350/586] lr: 5.000000e-04 eta: 12:20:56 time: 0.384514 data_time: 0.032072 memory: 7071 loss_kpt: 0.000774 acc_pose: 0.749190 loss: 0.000774 2022/09/27 21:20:56 - mmengine - INFO - Epoch(train) [28][400/586] lr: 5.000000e-04 eta: 12:20:25 time: 0.385730 data_time: 0.029796 memory: 7071 loss_kpt: 0.000758 acc_pose: 0.827847 loss: 0.000758 2022/09/27 21:21:16 - mmengine - INFO - Epoch(train) [28][450/586] lr: 5.000000e-04 eta: 12:19:56 time: 0.388657 data_time: 0.031095 memory: 7071 loss_kpt: 0.000733 acc_pose: 0.844011 loss: 0.000733 2022/09/27 21:21:36 - mmengine - INFO - Epoch(train) [28][500/586] lr: 5.000000e-04 eta: 12:19:31 time: 0.402704 data_time: 0.036130 memory: 7071 loss_kpt: 0.000749 acc_pose: 0.771677 loss: 0.000749 2022/09/27 21:21:55 - mmengine - INFO - Epoch(train) [28][550/586] lr: 5.000000e-04 eta: 12:19:00 time: 0.387275 data_time: 0.034314 memory: 7071 loss_kpt: 0.000734 acc_pose: 0.791608 loss: 0.000734 2022/09/27 21:22:09 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:22:29 - mmengine - INFO - Epoch(train) [29][50/586] lr: 5.000000e-04 eta: 12:16:42 time: 0.398780 data_time: 0.049814 memory: 7071 loss_kpt: 0.000768 acc_pose: 0.728366 loss: 0.000768 2022/09/27 21:22:49 - mmengine - INFO - Epoch(train) [29][100/586] lr: 5.000000e-04 eta: 12:16:14 time: 0.390479 data_time: 0.029915 memory: 7071 loss_kpt: 0.000759 acc_pose: 0.797890 loss: 0.000759 2022/09/27 21:23:08 - mmengine - INFO - Epoch(train) [29][150/586] lr: 5.000000e-04 eta: 12:15:44 time: 0.384926 data_time: 0.043938 memory: 7071 loss_kpt: 0.000751 acc_pose: 0.779983 loss: 0.000751 2022/09/27 21:23:27 - mmengine - INFO - Epoch(train) [29][200/586] lr: 5.000000e-04 eta: 12:15:13 time: 0.385324 data_time: 0.038311 memory: 7071 loss_kpt: 0.000759 acc_pose: 0.765653 loss: 0.000759 2022/09/27 21:23:47 - mmengine - INFO - Epoch(train) [29][250/586] lr: 5.000000e-04 eta: 12:14:46 time: 0.391957 data_time: 0.030734 memory: 7071 loss_kpt: 0.000759 acc_pose: 0.839171 loss: 0.000759 2022/09/27 21:24:06 - mmengine - INFO - Epoch(train) [29][300/586] lr: 5.000000e-04 eta: 12:14:16 time: 0.386888 data_time: 0.033593 memory: 7071 loss_kpt: 0.000737 acc_pose: 0.716089 loss: 0.000737 2022/09/27 21:24:25 - mmengine - INFO - Epoch(train) [29][350/586] lr: 5.000000e-04 eta: 12:13:47 time: 0.386949 data_time: 0.036329 memory: 7071 loss_kpt: 0.000756 acc_pose: 0.750225 loss: 0.000756 2022/09/27 21:24:45 - mmengine - INFO - Epoch(train) [29][400/586] lr: 5.000000e-04 eta: 12:13:20 time: 0.395910 data_time: 0.044088 memory: 7071 loss_kpt: 0.000723 acc_pose: 0.737349 loss: 0.000723 2022/09/27 21:25:05 - mmengine - INFO - Epoch(train) [29][450/586] lr: 5.000000e-04 eta: 12:12:53 time: 0.394617 data_time: 0.045358 memory: 7071 loss_kpt: 0.000739 acc_pose: 0.746713 loss: 0.000739 2022/09/27 21:25:25 - mmengine - INFO - Epoch(train) [29][500/586] lr: 5.000000e-04 eta: 12:12:28 time: 0.397724 data_time: 0.035465 memory: 7071 loss_kpt: 0.000772 acc_pose: 0.775129 loss: 0.000772 2022/09/27 21:25:45 - mmengine - INFO - Epoch(train) [29][550/586] lr: 5.000000e-04 eta: 12:12:01 time: 0.396212 data_time: 0.032854 memory: 7071 loss_kpt: 0.000751 acc_pose: 0.786017 loss: 0.000751 2022/09/27 21:25:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:26:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:26:19 - mmengine - INFO - Epoch(train) [30][50/586] lr: 5.000000e-04 eta: 12:09:54 time: 0.416783 data_time: 0.067617 memory: 7071 loss_kpt: 0.000747 acc_pose: 0.823859 loss: 0.000747 2022/09/27 21:26:39 - mmengine - INFO - Epoch(train) [30][100/586] lr: 5.000000e-04 eta: 12:09:28 time: 0.395682 data_time: 0.032165 memory: 7071 loss_kpt: 0.000742 acc_pose: 0.823578 loss: 0.000742 2022/09/27 21:26:59 - mmengine - INFO - Epoch(train) [30][150/586] lr: 5.000000e-04 eta: 12:08:59 time: 0.386063 data_time: 0.046227 memory: 7071 loss_kpt: 0.000750 acc_pose: 0.810397 loss: 0.000750 2022/09/27 21:27:18 - mmengine - INFO - Epoch(train) [30][200/586] lr: 5.000000e-04 eta: 12:08:29 time: 0.383860 data_time: 0.040035 memory: 7071 loss_kpt: 0.000752 acc_pose: 0.764404 loss: 0.000752 2022/09/27 21:27:37 - mmengine - INFO - Epoch(train) [30][250/586] lr: 5.000000e-04 eta: 12:08:01 time: 0.386372 data_time: 0.032826 memory: 7071 loss_kpt: 0.000767 acc_pose: 0.790074 loss: 0.000767 2022/09/27 21:27:57 - mmengine - INFO - Epoch(train) [30][300/586] lr: 5.000000e-04 eta: 12:07:37 time: 0.402093 data_time: 0.040501 memory: 7071 loss_kpt: 0.000745 acc_pose: 0.852208 loss: 0.000745 2022/09/27 21:28:16 - mmengine - INFO - Epoch(train) [30][350/586] lr: 5.000000e-04 eta: 12:07:06 time: 0.381195 data_time: 0.029077 memory: 7071 loss_kpt: 0.000750 acc_pose: 0.690011 loss: 0.000750 2022/09/27 21:28:37 - mmengine - INFO - Epoch(train) [30][400/586] lr: 5.000000e-04 eta: 12:06:44 time: 0.408167 data_time: 0.048785 memory: 7071 loss_kpt: 0.000770 acc_pose: 0.863449 loss: 0.000770 2022/09/27 21:28:56 - mmengine - INFO - Epoch(train) [30][450/586] lr: 5.000000e-04 eta: 12:06:14 time: 0.381549 data_time: 0.033584 memory: 7071 loss_kpt: 0.000731 acc_pose: 0.810118 loss: 0.000731 2022/09/27 21:29:15 - mmengine - INFO - Epoch(train) [30][500/586] lr: 5.000000e-04 eta: 12:05:47 time: 0.392027 data_time: 0.041166 memory: 7071 loss_kpt: 0.000760 acc_pose: 0.806846 loss: 0.000760 2022/09/27 21:29:35 - mmengine - INFO - Epoch(train) [30][550/586] lr: 5.000000e-04 eta: 12:05:20 time: 0.389942 data_time: 0.040838 memory: 7071 loss_kpt: 0.000742 acc_pose: 0.711271 loss: 0.000742 2022/09/27 21:29:48 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:29:48 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/09/27 21:30:12 - mmengine - INFO - Epoch(val) [30][50/407] eta: 0:01:54 time: 0.320381 data_time: 0.153525 memory: 7071 2022/09/27 21:30:27 - mmengine - INFO - Epoch(val) [30][100/407] eta: 0:01:29 time: 0.293085 data_time: 0.108807 memory: 1674 2022/09/27 21:30:46 - mmengine - INFO - Epoch(val) [30][150/407] eta: 0:01:38 time: 0.382740 data_time: 0.223494 memory: 1674 2022/09/27 21:31:04 - mmengine - INFO - Epoch(val) [30][200/407] eta: 0:01:15 time: 0.364299 data_time: 0.199048 memory: 1674 2022/09/27 21:31:25 - mmengine - INFO - Epoch(val) [30][250/407] eta: 0:01:04 time: 0.411717 data_time: 0.233729 memory: 1674 2022/09/27 21:31:40 - mmengine - INFO - Epoch(val) [30][300/407] eta: 0:00:32 time: 0.303526 data_time: 0.126617 memory: 1674 2022/09/27 21:31:59 - mmengine - INFO - Epoch(val) [30][350/407] eta: 0:00:22 time: 0.390862 data_time: 0.197324 memory: 1674 2022/09/27 21:32:13 - mmengine - INFO - Epoch(val) [30][400/407] eta: 0:00:01 time: 0.275644 data_time: 0.101300 memory: 1674 2022/09/27 21:32:48 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 21:33:01 - mmengine - INFO - Epoch(val) [30][407/407] coco/AP: 0.677747 coco/AP .5: 0.882738 coco/AP .75: 0.760032 coco/AP (M): 0.644744 coco/AP (L): 0.740648 coco/AR: 0.739798 coco/AR .5: 0.924276 coco/AR .75: 0.812815 coco/AR (M): 0.699454 coco/AR (L): 0.797287 2022/09/27 21:33:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_20.pth is removed 2022/09/27 21:33:05 - mmengine - INFO - The best checkpoint with 0.6777 coco/AP at 30 epoch is saved to best_coco/AP_epoch_30.pth. 2022/09/27 21:33:25 - mmengine - INFO - Epoch(train) [31][50/586] lr: 5.000000e-04 eta: 12:03:12 time: 0.400230 data_time: 0.036569 memory: 7071 loss_kpt: 0.000745 acc_pose: 0.794119 loss: 0.000745 2022/09/27 21:33:44 - mmengine - INFO - Epoch(train) [31][100/586] lr: 5.000000e-04 eta: 12:02:45 time: 0.389797 data_time: 0.032674 memory: 7071 loss_kpt: 0.000755 acc_pose: 0.796890 loss: 0.000755 2022/09/27 21:34:04 - mmengine - INFO - Epoch(train) [31][150/586] lr: 5.000000e-04 eta: 12:02:18 time: 0.389131 data_time: 0.032093 memory: 7071 loss_kpt: 0.000745 acc_pose: 0.856575 loss: 0.000745 2022/09/27 21:34:23 - mmengine - INFO - Epoch(train) [31][200/586] lr: 5.000000e-04 eta: 12:01:51 time: 0.389943 data_time: 0.032520 memory: 7071 loss_kpt: 0.000744 acc_pose: 0.790838 loss: 0.000744 2022/09/27 21:34:42 - mmengine - INFO - Epoch(train) [31][250/586] lr: 5.000000e-04 eta: 12:01:22 time: 0.384870 data_time: 0.031475 memory: 7071 loss_kpt: 0.000733 acc_pose: 0.857621 loss: 0.000733 2022/09/27 21:35:02 - mmengine - INFO - Epoch(train) [31][300/586] lr: 5.000000e-04 eta: 12:00:55 time: 0.387211 data_time: 0.051235 memory: 7071 loss_kpt: 0.000755 acc_pose: 0.660866 loss: 0.000755 2022/09/27 21:35:22 - mmengine - INFO - Epoch(train) [31][350/586] lr: 5.000000e-04 eta: 12:00:32 time: 0.403252 data_time: 0.034341 memory: 7071 loss_kpt: 0.000739 acc_pose: 0.773439 loss: 0.000739 2022/09/27 21:35:41 - mmengine - INFO - Epoch(train) [31][400/586] lr: 5.000000e-04 eta: 12:00:04 time: 0.387395 data_time: 0.039236 memory: 7071 loss_kpt: 0.000728 acc_pose: 0.797222 loss: 0.000728 2022/09/27 21:35:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:36:01 - mmengine - INFO - Epoch(train) [31][450/586] lr: 5.000000e-04 eta: 11:59:39 time: 0.394198 data_time: 0.032482 memory: 7071 loss_kpt: 0.000710 acc_pose: 0.791995 loss: 0.000710 2022/09/27 21:36:21 - mmengine - INFO - Epoch(train) [31][500/586] lr: 5.000000e-04 eta: 11:59:14 time: 0.396316 data_time: 0.034810 memory: 7071 loss_kpt: 0.000742 acc_pose: 0.800816 loss: 0.000742 2022/09/27 21:36:41 - mmengine - INFO - Epoch(train) [31][550/586] lr: 5.000000e-04 eta: 11:58:49 time: 0.394109 data_time: 0.032259 memory: 7071 loss_kpt: 0.000716 acc_pose: 0.734151 loss: 0.000716 2022/09/27 21:36:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:37:14 - mmengine - INFO - Epoch(train) [32][50/586] lr: 5.000000e-04 eta: 11:56:45 time: 0.400468 data_time: 0.051897 memory: 7071 loss_kpt: 0.000761 acc_pose: 0.781349 loss: 0.000761 2022/09/27 21:37:34 - mmengine - INFO - Epoch(train) [32][100/586] lr: 5.000000e-04 eta: 11:56:19 time: 0.392133 data_time: 0.044914 memory: 7071 loss_kpt: 0.000743 acc_pose: 0.795554 loss: 0.000743 2022/09/27 21:37:53 - mmengine - INFO - Epoch(train) [32][150/586] lr: 5.000000e-04 eta: 11:55:52 time: 0.385359 data_time: 0.035866 memory: 7071 loss_kpt: 0.000724 acc_pose: 0.771520 loss: 0.000724 2022/09/27 21:38:13 - mmengine - INFO - Epoch(train) [32][200/586] lr: 5.000000e-04 eta: 11:55:25 time: 0.387922 data_time: 0.035877 memory: 7071 loss_kpt: 0.000734 acc_pose: 0.804076 loss: 0.000734 2022/09/27 21:38:32 - mmengine - INFO - Epoch(train) [32][250/586] lr: 5.000000e-04 eta: 11:54:58 time: 0.387790 data_time: 0.030291 memory: 7071 loss_kpt: 0.000739 acc_pose: 0.759075 loss: 0.000739 2022/09/27 21:38:52 - mmengine - INFO - Epoch(train) [32][300/586] lr: 5.000000e-04 eta: 11:54:36 time: 0.403849 data_time: 0.034279 memory: 7071 loss_kpt: 0.000735 acc_pose: 0.839302 loss: 0.000735 2022/09/27 21:39:13 - mmengine - INFO - Epoch(train) [32][350/586] lr: 5.000000e-04 eta: 11:54:17 time: 0.414333 data_time: 0.030853 memory: 7071 loss_kpt: 0.000722 acc_pose: 0.730797 loss: 0.000722 2022/09/27 21:39:32 - mmengine - INFO - Epoch(train) [32][400/586] lr: 5.000000e-04 eta: 11:53:50 time: 0.387459 data_time: 0.033506 memory: 7071 loss_kpt: 0.000713 acc_pose: 0.765969 loss: 0.000713 2022/09/27 21:39:51 - mmengine - INFO - Epoch(train) [32][450/586] lr: 5.000000e-04 eta: 11:53:21 time: 0.381113 data_time: 0.047226 memory: 7071 loss_kpt: 0.000737 acc_pose: 0.792972 loss: 0.000737 2022/09/27 21:40:10 - mmengine - INFO - Epoch(train) [32][500/586] lr: 5.000000e-04 eta: 11:52:53 time: 0.380354 data_time: 0.033118 memory: 7071 loss_kpt: 0.000729 acc_pose: 0.820296 loss: 0.000729 2022/09/27 21:40:30 - mmengine - INFO - Epoch(train) [32][550/586] lr: 5.000000e-04 eta: 11:52:30 time: 0.401612 data_time: 0.042893 memory: 7071 loss_kpt: 0.000745 acc_pose: 0.747865 loss: 0.000745 2022/09/27 21:40:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:41:05 - mmengine - INFO - Epoch(train) [33][50/586] lr: 5.000000e-04 eta: 11:50:32 time: 0.406152 data_time: 0.044349 memory: 7071 loss_kpt: 0.000737 acc_pose: 0.770634 loss: 0.000737 2022/09/27 21:41:24 - mmengine - INFO - Epoch(train) [33][100/586] lr: 5.000000e-04 eta: 11:50:06 time: 0.390145 data_time: 0.035034 memory: 7071 loss_kpt: 0.000730 acc_pose: 0.751994 loss: 0.000730 2022/09/27 21:41:44 - mmengine - INFO - Epoch(train) [33][150/586] lr: 5.000000e-04 eta: 11:49:44 time: 0.401560 data_time: 0.041450 memory: 7071 loss_kpt: 0.000731 acc_pose: 0.650036 loss: 0.000731 2022/09/27 21:42:04 - mmengine - INFO - Epoch(train) [33][200/586] lr: 5.000000e-04 eta: 11:49:18 time: 0.389938 data_time: 0.033432 memory: 7071 loss_kpt: 0.000734 acc_pose: 0.783075 loss: 0.000734 2022/09/27 21:42:23 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:42:24 - mmengine - INFO - Epoch(train) [33][250/586] lr: 5.000000e-04 eta: 11:48:58 time: 0.410412 data_time: 0.053814 memory: 7071 loss_kpt: 0.000728 acc_pose: 0.803876 loss: 0.000728 2022/09/27 21:42:44 - mmengine - INFO - Epoch(train) [33][300/586] lr: 5.000000e-04 eta: 11:48:34 time: 0.397203 data_time: 0.034686 memory: 7071 loss_kpt: 0.000742 acc_pose: 0.776774 loss: 0.000742 2022/09/27 21:43:05 - mmengine - INFO - Epoch(train) [33][350/586] lr: 5.000000e-04 eta: 11:48:14 time: 0.407956 data_time: 0.036172 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.730674 loss: 0.000708 2022/09/27 21:43:24 - mmengine - INFO - Epoch(train) [33][400/586] lr: 5.000000e-04 eta: 11:47:46 time: 0.381766 data_time: 0.033128 memory: 7071 loss_kpt: 0.000742 acc_pose: 0.815047 loss: 0.000742 2022/09/27 21:43:44 - mmengine - INFO - Epoch(train) [33][450/586] lr: 5.000000e-04 eta: 11:47:27 time: 0.412953 data_time: 0.040946 memory: 7071 loss_kpt: 0.000730 acc_pose: 0.827140 loss: 0.000730 2022/09/27 21:44:05 - mmengine - INFO - Epoch(train) [33][500/586] lr: 5.000000e-04 eta: 11:47:06 time: 0.407264 data_time: 0.035554 memory: 7071 loss_kpt: 0.000754 acc_pose: 0.753563 loss: 0.000754 2022/09/27 21:44:24 - mmengine - INFO - Epoch(train) [33][550/586] lr: 5.000000e-04 eta: 11:46:40 time: 0.389882 data_time: 0.033690 memory: 7071 loss_kpt: 0.000756 acc_pose: 0.791137 loss: 0.000756 2022/09/27 21:44:38 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:44:59 - mmengine - INFO - Epoch(train) [34][50/586] lr: 5.000000e-04 eta: 11:44:45 time: 0.403940 data_time: 0.038743 memory: 7071 loss_kpt: 0.000731 acc_pose: 0.796941 loss: 0.000731 2022/09/27 21:45:18 - mmengine - INFO - Epoch(train) [34][100/586] lr: 5.000000e-04 eta: 11:44:20 time: 0.389523 data_time: 0.053976 memory: 7071 loss_kpt: 0.000725 acc_pose: 0.808653 loss: 0.000725 2022/09/27 21:45:37 - mmengine - INFO - Epoch(train) [34][150/586] lr: 5.000000e-04 eta: 11:43:55 time: 0.388538 data_time: 0.027946 memory: 7071 loss_kpt: 0.000753 acc_pose: 0.712870 loss: 0.000753 2022/09/27 21:45:57 - mmengine - INFO - Epoch(train) [34][200/586] lr: 5.000000e-04 eta: 11:43:32 time: 0.398433 data_time: 0.033580 memory: 7071 loss_kpt: 0.000733 acc_pose: 0.759644 loss: 0.000733 2022/09/27 21:46:17 - mmengine - INFO - Epoch(train) [34][250/586] lr: 5.000000e-04 eta: 11:43:06 time: 0.387162 data_time: 0.031544 memory: 7071 loss_kpt: 0.000742 acc_pose: 0.851998 loss: 0.000742 2022/09/27 21:46:37 - mmengine - INFO - Epoch(train) [34][300/586] lr: 5.000000e-04 eta: 11:42:43 time: 0.396773 data_time: 0.030476 memory: 7071 loss_kpt: 0.000741 acc_pose: 0.708242 loss: 0.000741 2022/09/27 21:46:56 - mmengine - INFO - Epoch(train) [34][350/586] lr: 5.000000e-04 eta: 11:42:18 time: 0.389850 data_time: 0.028752 memory: 7071 loss_kpt: 0.000738 acc_pose: 0.877810 loss: 0.000738 2022/09/27 21:47:16 - mmengine - INFO - Epoch(train) [34][400/586] lr: 5.000000e-04 eta: 11:41:53 time: 0.392871 data_time: 0.036108 memory: 7071 loss_kpt: 0.000717 acc_pose: 0.806630 loss: 0.000717 2022/09/27 21:47:35 - mmengine - INFO - Epoch(train) [34][450/586] lr: 5.000000e-04 eta: 11:41:28 time: 0.387940 data_time: 0.040851 memory: 7071 loss_kpt: 0.000741 acc_pose: 0.770168 loss: 0.000741 2022/09/27 21:47:55 - mmengine - INFO - Epoch(train) [34][500/586] lr: 5.000000e-04 eta: 11:41:05 time: 0.399209 data_time: 0.027641 memory: 7071 loss_kpt: 0.000736 acc_pose: 0.807994 loss: 0.000736 2022/09/27 21:49:05 - mmengine - INFO - Epoch(train) [34][550/586] lr: 5.000000e-04 eta: 11:45:01 time: 1.393268 data_time: 0.968721 memory: 7071 loss_kpt: 0.000715 acc_pose: 0.772176 loss: 0.000715 2022/09/27 21:49:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:49:40 - mmengine - INFO - Epoch(train) [35][50/586] lr: 5.000000e-04 eta: 11:43:15 time: 0.432496 data_time: 0.041533 memory: 7071 loss_kpt: 0.000730 acc_pose: 0.790736 loss: 0.000730 2022/09/27 21:49:51 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:50:00 - mmengine - INFO - Epoch(train) [35][100/586] lr: 5.000000e-04 eta: 11:42:51 time: 0.397020 data_time: 0.031519 memory: 7071 loss_kpt: 0.000745 acc_pose: 0.787764 loss: 0.000745 2022/09/27 21:50:19 - mmengine - INFO - Epoch(train) [35][150/586] lr: 5.000000e-04 eta: 11:42:24 time: 0.381605 data_time: 0.030319 memory: 7071 loss_kpt: 0.000744 acc_pose: 0.773583 loss: 0.000744 2022/09/27 21:50:40 - mmengine - INFO - Epoch(train) [35][200/586] lr: 5.000000e-04 eta: 11:42:03 time: 0.406824 data_time: 0.039995 memory: 7071 loss_kpt: 0.000733 acc_pose: 0.809670 loss: 0.000733 2022/09/27 21:50:59 - mmengine - INFO - Epoch(train) [35][250/586] lr: 5.000000e-04 eta: 11:41:36 time: 0.386279 data_time: 0.036209 memory: 7071 loss_kpt: 0.000741 acc_pose: 0.778421 loss: 0.000741 2022/09/27 21:51:19 - mmengine - INFO - Epoch(train) [35][300/586] lr: 5.000000e-04 eta: 11:41:12 time: 0.394902 data_time: 0.037774 memory: 7071 loss_kpt: 0.000731 acc_pose: 0.832112 loss: 0.000731 2022/09/27 21:51:38 - mmengine - INFO - Epoch(train) [35][350/586] lr: 5.000000e-04 eta: 11:40:47 time: 0.389124 data_time: 0.027467 memory: 7071 loss_kpt: 0.000729 acc_pose: 0.769361 loss: 0.000729 2022/09/27 21:51:58 - mmengine - INFO - Epoch(train) [35][400/586] lr: 5.000000e-04 eta: 11:40:22 time: 0.393799 data_time: 0.031663 memory: 7071 loss_kpt: 0.000734 acc_pose: 0.831556 loss: 0.000734 2022/09/27 21:52:17 - mmengine - INFO - Epoch(train) [35][450/586] lr: 5.000000e-04 eta: 11:39:57 time: 0.389067 data_time: 0.033826 memory: 7071 loss_kpt: 0.000735 acc_pose: 0.849668 loss: 0.000735 2022/09/27 21:52:37 - mmengine - INFO - Epoch(train) [35][500/586] lr: 5.000000e-04 eta: 11:39:30 time: 0.384258 data_time: 0.036325 memory: 7071 loss_kpt: 0.000742 acc_pose: 0.829193 loss: 0.000742 2022/09/27 21:52:56 - mmengine - INFO - Epoch(train) [35][550/586] lr: 5.000000e-04 eta: 11:39:03 time: 0.382610 data_time: 0.035513 memory: 7071 loss_kpt: 0.000736 acc_pose: 0.791289 loss: 0.000736 2022/09/27 21:53:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:53:30 - mmengine - INFO - Epoch(train) [36][50/586] lr: 5.000000e-04 eta: 11:37:13 time: 0.402303 data_time: 0.037645 memory: 7071 loss_kpt: 0.000735 acc_pose: 0.707341 loss: 0.000735 2022/09/27 21:53:50 - mmengine - INFO - Epoch(train) [36][100/586] lr: 5.000000e-04 eta: 11:36:50 time: 0.396932 data_time: 0.034395 memory: 7071 loss_kpt: 0.000717 acc_pose: 0.812988 loss: 0.000717 2022/09/27 21:54:09 - mmengine - INFO - Epoch(train) [36][150/586] lr: 5.000000e-04 eta: 11:36:24 time: 0.386086 data_time: 0.032137 memory: 7071 loss_kpt: 0.000725 acc_pose: 0.856710 loss: 0.000725 2022/09/27 21:54:29 - mmengine - INFO - Epoch(train) [36][200/586] lr: 5.000000e-04 eta: 11:36:01 time: 0.396020 data_time: 0.030936 memory: 7071 loss_kpt: 0.000731 acc_pose: 0.835297 loss: 0.000731 2022/09/27 21:54:49 - mmengine - INFO - Epoch(train) [36][250/586] lr: 5.000000e-04 eta: 11:35:39 time: 0.401493 data_time: 0.034017 memory: 7071 loss_kpt: 0.000727 acc_pose: 0.777168 loss: 0.000727 2022/09/27 21:55:09 - mmengine - INFO - Epoch(train) [36][300/586] lr: 5.000000e-04 eta: 11:35:15 time: 0.393937 data_time: 0.033377 memory: 7071 loss_kpt: 0.000726 acc_pose: 0.776371 loss: 0.000726 2022/09/27 21:55:28 - mmengine - INFO - Epoch(train) [36][350/586] lr: 5.000000e-04 eta: 11:34:50 time: 0.391009 data_time: 0.033897 memory: 7071 loss_kpt: 0.000725 acc_pose: 0.831117 loss: 0.000725 2022/09/27 21:55:49 - mmengine - INFO - Epoch(train) [36][400/586] lr: 5.000000e-04 eta: 11:34:31 time: 0.413912 data_time: 0.048147 memory: 7071 loss_kpt: 0.000747 acc_pose: 0.803772 loss: 0.000747 2022/09/27 21:56:09 - mmengine - INFO - Epoch(train) [36][450/586] lr: 5.000000e-04 eta: 11:34:07 time: 0.393422 data_time: 0.045691 memory: 7071 loss_kpt: 0.000734 acc_pose: 0.800263 loss: 0.000734 2022/09/27 21:56:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:56:28 - mmengine - INFO - Epoch(train) [36][500/586] lr: 5.000000e-04 eta: 11:33:42 time: 0.388741 data_time: 0.035571 memory: 7071 loss_kpt: 0.000726 acc_pose: 0.775455 loss: 0.000726 2022/09/27 21:56:48 - mmengine - INFO - Epoch(train) [36][550/586] lr: 5.000000e-04 eta: 11:33:17 time: 0.386408 data_time: 0.034067 memory: 7071 loss_kpt: 0.000717 acc_pose: 0.808833 loss: 0.000717 2022/09/27 21:57:01 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 21:57:21 - mmengine - INFO - Epoch(train) [37][50/586] lr: 5.000000e-04 eta: 11:31:26 time: 0.386660 data_time: 0.041357 memory: 7071 loss_kpt: 0.000719 acc_pose: 0.703498 loss: 0.000719 2022/09/27 21:57:41 - mmengine - INFO - Epoch(train) [37][100/586] lr: 5.000000e-04 eta: 11:31:03 time: 0.396549 data_time: 0.040544 memory: 7071 loss_kpt: 0.000712 acc_pose: 0.777721 loss: 0.000712 2022/09/27 21:58:00 - mmengine - INFO - Epoch(train) [37][150/586] lr: 5.000000e-04 eta: 11:30:39 time: 0.391256 data_time: 0.035535 memory: 7071 loss_kpt: 0.000731 acc_pose: 0.832919 loss: 0.000731 2022/09/27 21:58:20 - mmengine - INFO - Epoch(train) [37][200/586] lr: 5.000000e-04 eta: 11:30:14 time: 0.387374 data_time: 0.045507 memory: 7071 loss_kpt: 0.000716 acc_pose: 0.829525 loss: 0.000716 2022/09/27 21:58:39 - mmengine - INFO - Epoch(train) [37][250/586] lr: 5.000000e-04 eta: 11:29:50 time: 0.393603 data_time: 0.034320 memory: 7071 loss_kpt: 0.000721 acc_pose: 0.814696 loss: 0.000721 2022/09/27 21:58:59 - mmengine - INFO - Epoch(train) [37][300/586] lr: 5.000000e-04 eta: 11:29:26 time: 0.391165 data_time: 0.032256 memory: 7071 loss_kpt: 0.000702 acc_pose: 0.813507 loss: 0.000702 2022/09/27 21:59:18 - mmengine - INFO - Epoch(train) [37][350/586] lr: 5.000000e-04 eta: 11:29:00 time: 0.384043 data_time: 0.035692 memory: 7071 loss_kpt: 0.000729 acc_pose: 0.729080 loss: 0.000729 2022/09/27 21:59:37 - mmengine - INFO - Epoch(train) [37][400/586] lr: 5.000000e-04 eta: 11:28:35 time: 0.387048 data_time: 0.034119 memory: 7071 loss_kpt: 0.000712 acc_pose: 0.847212 loss: 0.000712 2022/09/27 21:59:57 - mmengine - INFO - Epoch(train) [37][450/586] lr: 5.000000e-04 eta: 11:28:10 time: 0.386525 data_time: 0.029770 memory: 7071 loss_kpt: 0.000720 acc_pose: 0.774933 loss: 0.000720 2022/09/27 22:00:16 - mmengine - INFO - Epoch(train) [37][500/586] lr: 5.000000e-04 eta: 11:27:46 time: 0.390581 data_time: 0.042645 memory: 7071 loss_kpt: 0.000739 acc_pose: 0.763073 loss: 0.000739 2022/09/27 22:00:36 - mmengine - INFO - Epoch(train) [37][550/586] lr: 5.000000e-04 eta: 11:27:23 time: 0.396332 data_time: 0.037165 memory: 7071 loss_kpt: 0.000728 acc_pose: 0.803728 loss: 0.000728 2022/09/27 22:00:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:01:11 - mmengine - INFO - Epoch(train) [38][50/586] lr: 5.000000e-04 eta: 11:25:42 time: 0.414351 data_time: 0.051441 memory: 7071 loss_kpt: 0.000720 acc_pose: 0.767042 loss: 0.000720 2022/09/27 22:01:31 - mmengine - INFO - Epoch(train) [38][100/586] lr: 5.000000e-04 eta: 11:25:21 time: 0.401836 data_time: 0.035122 memory: 7071 loss_kpt: 0.000723 acc_pose: 0.773261 loss: 0.000723 2022/09/27 22:01:50 - mmengine - INFO - Epoch(train) [38][150/586] lr: 5.000000e-04 eta: 11:24:57 time: 0.391222 data_time: 0.031782 memory: 7071 loss_kpt: 0.000757 acc_pose: 0.800798 loss: 0.000757 2022/09/27 22:02:10 - mmengine - INFO - Epoch(train) [38][200/586] lr: 5.000000e-04 eta: 11:24:34 time: 0.395568 data_time: 0.036500 memory: 7071 loss_kpt: 0.000721 acc_pose: 0.789233 loss: 0.000721 2022/09/27 22:02:29 - mmengine - INFO - Epoch(train) [38][250/586] lr: 5.000000e-04 eta: 11:24:08 time: 0.380165 data_time: 0.031629 memory: 7071 loss_kpt: 0.000722 acc_pose: 0.810793 loss: 0.000722 2022/09/27 22:02:49 - mmengine - INFO - Epoch(train) [38][300/586] lr: 5.000000e-04 eta: 11:23:44 time: 0.389406 data_time: 0.034919 memory: 7071 loss_kpt: 0.000720 acc_pose: 0.798226 loss: 0.000720 2022/09/27 22:02:56 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:03:08 - mmengine - INFO - Epoch(train) [38][350/586] lr: 5.000000e-04 eta: 11:23:20 time: 0.389533 data_time: 0.042262 memory: 7071 loss_kpt: 0.000712 acc_pose: 0.874756 loss: 0.000712 2022/09/27 22:03:28 - mmengine - INFO - Epoch(train) [38][400/586] lr: 5.000000e-04 eta: 11:22:56 time: 0.390968 data_time: 0.048868 memory: 7071 loss_kpt: 0.000702 acc_pose: 0.755997 loss: 0.000702 2022/09/27 22:03:48 - mmengine - INFO - Epoch(train) [38][450/586] lr: 5.000000e-04 eta: 11:22:36 time: 0.407283 data_time: 0.036665 memory: 7071 loss_kpt: 0.000752 acc_pose: 0.821187 loss: 0.000752 2022/09/27 22:04:07 - mmengine - INFO - Epoch(train) [38][500/586] lr: 5.000000e-04 eta: 11:22:11 time: 0.384018 data_time: 0.032633 memory: 7071 loss_kpt: 0.000719 acc_pose: 0.676573 loss: 0.000719 2022/09/27 22:04:26 - mmengine - INFO - Epoch(train) [38][550/586] lr: 5.000000e-04 eta: 11:21:46 time: 0.385857 data_time: 0.031385 memory: 7071 loss_kpt: 0.000726 acc_pose: 0.794197 loss: 0.000726 2022/09/27 22:04:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:05:00 - mmengine - INFO - Epoch(train) [39][50/586] lr: 5.000000e-04 eta: 11:20:06 time: 0.409966 data_time: 0.049602 memory: 7071 loss_kpt: 0.000699 acc_pose: 0.779676 loss: 0.000699 2022/09/27 22:05:21 - mmengine - INFO - Epoch(train) [39][100/586] lr: 5.000000e-04 eta: 11:19:47 time: 0.410503 data_time: 0.029799 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.860687 loss: 0.000708 2022/09/27 22:05:40 - mmengine - INFO - Epoch(train) [39][150/586] lr: 5.000000e-04 eta: 11:19:22 time: 0.384030 data_time: 0.031962 memory: 7071 loss_kpt: 0.000703 acc_pose: 0.803165 loss: 0.000703 2022/09/27 22:05:59 - mmengine - INFO - Epoch(train) [39][200/586] lr: 5.000000e-04 eta: 11:18:58 time: 0.387666 data_time: 0.041129 memory: 7071 loss_kpt: 0.000712 acc_pose: 0.783031 loss: 0.000712 2022/09/27 22:06:19 - mmengine - INFO - Epoch(train) [39][250/586] lr: 5.000000e-04 eta: 11:18:35 time: 0.391141 data_time: 0.040468 memory: 7071 loss_kpt: 0.000728 acc_pose: 0.864378 loss: 0.000728 2022/09/27 22:06:38 - mmengine - INFO - Epoch(train) [39][300/586] lr: 5.000000e-04 eta: 11:18:09 time: 0.380509 data_time: 0.037203 memory: 7071 loss_kpt: 0.000719 acc_pose: 0.762528 loss: 0.000719 2022/09/27 22:06:59 - mmengine - INFO - Epoch(train) [39][350/586] lr: 5.000000e-04 eta: 11:17:51 time: 0.415021 data_time: 0.035330 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.781506 loss: 0.000708 2022/09/27 22:07:18 - mmengine - INFO - Epoch(train) [39][400/586] lr: 5.000000e-04 eta: 11:17:25 time: 0.377525 data_time: 0.032972 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.768093 loss: 0.000708 2022/09/27 22:07:37 - mmengine - INFO - Epoch(train) [39][450/586] lr: 5.000000e-04 eta: 11:17:01 time: 0.389909 data_time: 0.030924 memory: 7071 loss_kpt: 0.000733 acc_pose: 0.758203 loss: 0.000733 2022/09/27 22:07:57 - mmengine - INFO - Epoch(train) [39][500/586] lr: 5.000000e-04 eta: 11:16:39 time: 0.395979 data_time: 0.048803 memory: 7071 loss_kpt: 0.000734 acc_pose: 0.766495 loss: 0.000734 2022/09/27 22:08:16 - mmengine - INFO - Epoch(train) [39][550/586] lr: 5.000000e-04 eta: 11:16:14 time: 0.385069 data_time: 0.036633 memory: 7071 loss_kpt: 0.000747 acc_pose: 0.798315 loss: 0.000747 2022/09/27 22:08:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:08:51 - mmengine - INFO - Epoch(train) [40][50/586] lr: 5.000000e-04 eta: 11:14:34 time: 0.394317 data_time: 0.056605 memory: 7071 loss_kpt: 0.000715 acc_pose: 0.815606 loss: 0.000715 2022/09/27 22:09:11 - mmengine - INFO - Epoch(train) [40][100/586] lr: 5.000000e-04 eta: 11:14:14 time: 0.404875 data_time: 0.039560 memory: 7071 loss_kpt: 0.000726 acc_pose: 0.786168 loss: 0.000726 2022/09/27 22:09:28 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:09:30 - mmengine - INFO - Epoch(train) [40][150/586] lr: 5.000000e-04 eta: 11:13:48 time: 0.381178 data_time: 0.033107 memory: 7071 loss_kpt: 0.000719 acc_pose: 0.834700 loss: 0.000719 2022/09/27 22:09:49 - mmengine - INFO - Epoch(train) [40][200/586] lr: 5.000000e-04 eta: 11:13:25 time: 0.389533 data_time: 0.055799 memory: 7071 loss_kpt: 0.000707 acc_pose: 0.785215 loss: 0.000707 2022/09/27 22:10:09 - mmengine - INFO - Epoch(train) [40][250/586] lr: 5.000000e-04 eta: 11:13:03 time: 0.397383 data_time: 0.028173 memory: 7071 loss_kpt: 0.000703 acc_pose: 0.787854 loss: 0.000703 2022/09/27 22:10:29 - mmengine - INFO - Epoch(train) [40][300/586] lr: 5.000000e-04 eta: 11:12:41 time: 0.396142 data_time: 0.044436 memory: 7071 loss_kpt: 0.000702 acc_pose: 0.829223 loss: 0.000702 2022/09/27 22:10:48 - mmengine - INFO - Epoch(train) [40][350/586] lr: 5.000000e-04 eta: 11:12:16 time: 0.381108 data_time: 0.028001 memory: 7071 loss_kpt: 0.000717 acc_pose: 0.784208 loss: 0.000717 2022/09/27 22:11:08 - mmengine - INFO - Epoch(train) [40][400/586] lr: 5.000000e-04 eta: 11:11:53 time: 0.391643 data_time: 0.034534 memory: 7071 loss_kpt: 0.000725 acc_pose: 0.815169 loss: 0.000725 2022/09/27 22:11:28 - mmengine - INFO - Epoch(train) [40][450/586] lr: 5.000000e-04 eta: 11:11:32 time: 0.400033 data_time: 0.035761 memory: 7071 loss_kpt: 0.000738 acc_pose: 0.795052 loss: 0.000738 2022/09/27 22:11:47 - mmengine - INFO - Epoch(train) [40][500/586] lr: 5.000000e-04 eta: 11:11:09 time: 0.387690 data_time: 0.036253 memory: 7071 loss_kpt: 0.000723 acc_pose: 0.777451 loss: 0.000723 2022/09/27 22:12:08 - mmengine - INFO - Epoch(train) [40][550/586] lr: 5.000000e-04 eta: 11:10:49 time: 0.407502 data_time: 0.034197 memory: 7071 loss_kpt: 0.000702 acc_pose: 0.829242 loss: 0.000702 2022/09/27 22:12:21 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:12:21 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/09/27 22:12:46 - mmengine - INFO - Epoch(val) [40][50/407] eta: 0:02:04 time: 0.350007 data_time: 0.145127 memory: 7071 2022/09/27 22:13:04 - mmengine - INFO - Epoch(val) [40][100/407] eta: 0:01:48 time: 0.353039 data_time: 0.150485 memory: 1674 2022/09/27 22:13:19 - mmengine - INFO - Epoch(val) [40][150/407] eta: 0:01:17 time: 0.300002 data_time: 0.113188 memory: 1674 2022/09/27 22:13:36 - mmengine - INFO - Epoch(val) [40][200/407] eta: 0:01:09 time: 0.335287 data_time: 0.134419 memory: 1674 2022/09/27 22:13:52 - mmengine - INFO - Epoch(val) [40][250/407] eta: 0:00:50 time: 0.323124 data_time: 0.129345 memory: 1674 2022/09/27 22:14:08 - mmengine - INFO - Epoch(val) [40][300/407] eta: 0:00:34 time: 0.321550 data_time: 0.117206 memory: 1674 2022/09/27 22:14:24 - mmengine - INFO - Epoch(val) [40][350/407] eta: 0:00:18 time: 0.323940 data_time: 0.117617 memory: 1674 2022/09/27 22:14:36 - mmengine - INFO - Epoch(val) [40][400/407] eta: 0:00:01 time: 0.229039 data_time: 0.080335 memory: 1674 2022/09/27 22:15:08 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 22:15:20 - mmengine - INFO - Epoch(val) [40][407/407] coco/AP: 0.689198 coco/AP .5: 0.886139 coco/AP .75: 0.772101 coco/AP (M): 0.654914 coco/AP (L): 0.755178 coco/AR: 0.749465 coco/AR .5: 0.928212 coco/AR .75: 0.823835 coco/AR (M): 0.707238 coco/AR (L): 0.810442 2022/09/27 22:15:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_30.pth is removed 2022/09/27 22:15:24 - mmengine - INFO - The best checkpoint with 0.6892 coco/AP at 40 epoch is saved to best_coco/AP_epoch_40.pth. 2022/09/27 22:15:44 - mmengine - INFO - Epoch(train) [41][50/586] lr: 5.000000e-04 eta: 11:09:10 time: 0.389534 data_time: 0.043955 memory: 7071 loss_kpt: 0.000709 acc_pose: 0.823541 loss: 0.000709 2022/09/27 22:16:03 - mmengine - INFO - Epoch(train) [41][100/586] lr: 5.000000e-04 eta: 11:08:46 time: 0.385241 data_time: 0.033606 memory: 7071 loss_kpt: 0.000705 acc_pose: 0.778349 loss: 0.000705 2022/09/27 22:16:22 - mmengine - INFO - Epoch(train) [41][150/586] lr: 5.000000e-04 eta: 11:08:23 time: 0.387831 data_time: 0.028339 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.756231 loss: 0.000708 2022/09/27 22:16:42 - mmengine - INFO - Epoch(train) [41][200/586] lr: 5.000000e-04 eta: 11:08:01 time: 0.395040 data_time: 0.041542 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.822745 loss: 0.000691 2022/09/27 22:17:03 - mmengine - INFO - Epoch(train) [41][250/586] lr: 5.000000e-04 eta: 11:07:42 time: 0.409988 data_time: 0.038296 memory: 7071 loss_kpt: 0.000719 acc_pose: 0.840940 loss: 0.000719 2022/09/27 22:17:22 - mmengine - INFO - Epoch(train) [41][300/586] lr: 5.000000e-04 eta: 11:07:20 time: 0.392421 data_time: 0.029414 memory: 7071 loss_kpt: 0.000704 acc_pose: 0.794156 loss: 0.000704 2022/09/27 22:17:42 - mmengine - INFO - Epoch(train) [41][350/586] lr: 5.000000e-04 eta: 11:06:59 time: 0.402574 data_time: 0.035853 memory: 7071 loss_kpt: 0.000726 acc_pose: 0.761935 loss: 0.000726 2022/09/27 22:18:02 - mmengine - INFO - Epoch(train) [41][400/586] lr: 5.000000e-04 eta: 11:06:37 time: 0.391919 data_time: 0.042916 memory: 7071 loss_kpt: 0.000718 acc_pose: 0.804445 loss: 0.000718 2022/09/27 22:18:22 - mmengine - INFO - Epoch(train) [41][450/586] lr: 5.000000e-04 eta: 11:06:17 time: 0.405082 data_time: 0.044104 memory: 7071 loss_kpt: 0.000717 acc_pose: 0.800677 loss: 0.000717 2022/09/27 22:18:42 - mmengine - INFO - Epoch(train) [41][500/586] lr: 5.000000e-04 eta: 11:05:55 time: 0.394227 data_time: 0.029300 memory: 7071 loss_kpt: 0.000707 acc_pose: 0.773321 loss: 0.000707 2022/09/27 22:19:01 - mmengine - INFO - Epoch(train) [41][550/586] lr: 5.000000e-04 eta: 11:05:32 time: 0.388292 data_time: 0.034285 memory: 7071 loss_kpt: 0.000724 acc_pose: 0.773158 loss: 0.000724 2022/09/27 22:19:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:19:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:19:36 - mmengine - INFO - Epoch(train) [42][50/586] lr: 5.000000e-04 eta: 11:03:58 time: 0.404257 data_time: 0.044916 memory: 7071 loss_kpt: 0.000725 acc_pose: 0.853549 loss: 0.000725 2022/09/27 22:19:56 - mmengine - INFO - Epoch(train) [42][100/586] lr: 5.000000e-04 eta: 11:03:35 time: 0.390809 data_time: 0.034815 memory: 7071 loss_kpt: 0.000730 acc_pose: 0.770471 loss: 0.000730 2022/09/27 22:20:15 - mmengine - INFO - Epoch(train) [42][150/586] lr: 5.000000e-04 eta: 11:03:13 time: 0.392105 data_time: 0.035275 memory: 7071 loss_kpt: 0.000738 acc_pose: 0.865974 loss: 0.000738 2022/09/27 22:20:35 - mmengine - INFO - Epoch(train) [42][200/586] lr: 5.000000e-04 eta: 11:02:51 time: 0.394300 data_time: 0.035549 memory: 7071 loss_kpt: 0.000742 acc_pose: 0.805666 loss: 0.000742 2022/09/27 22:20:55 - mmengine - INFO - Epoch(train) [42][250/586] lr: 5.000000e-04 eta: 11:02:29 time: 0.392334 data_time: 0.033461 memory: 7071 loss_kpt: 0.000721 acc_pose: 0.872871 loss: 0.000721 2022/09/27 22:21:14 - mmengine - INFO - Epoch(train) [42][300/586] lr: 5.000000e-04 eta: 11:02:07 time: 0.392074 data_time: 0.034085 memory: 7071 loss_kpt: 0.000722 acc_pose: 0.845231 loss: 0.000722 2022/09/27 22:21:34 - mmengine - INFO - Epoch(train) [42][350/586] lr: 5.000000e-04 eta: 11:01:46 time: 0.400624 data_time: 0.047100 memory: 7071 loss_kpt: 0.000718 acc_pose: 0.796631 loss: 0.000718 2022/09/27 22:21:53 - mmengine - INFO - Epoch(train) [42][400/586] lr: 5.000000e-04 eta: 11:01:22 time: 0.382624 data_time: 0.032831 memory: 7071 loss_kpt: 0.000723 acc_pose: 0.761004 loss: 0.000723 2022/09/27 22:22:14 - mmengine - INFO - Epoch(train) [42][450/586] lr: 5.000000e-04 eta: 11:01:03 time: 0.405167 data_time: 0.029902 memory: 7071 loss_kpt: 0.000687 acc_pose: 0.754178 loss: 0.000687 2022/09/27 22:22:33 - mmengine - INFO - Epoch(train) [42][500/586] lr: 5.000000e-04 eta: 11:00:39 time: 0.386390 data_time: 0.033356 memory: 7071 loss_kpt: 0.000741 acc_pose: 0.807440 loss: 0.000741 2022/09/27 22:22:53 - mmengine - INFO - Epoch(train) [42][550/586] lr: 5.000000e-04 eta: 11:00:18 time: 0.394323 data_time: 0.035309 memory: 7071 loss_kpt: 0.000732 acc_pose: 0.819779 loss: 0.000732 2022/09/27 22:23:06 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:23:26 - mmengine - INFO - Epoch(train) [43][50/586] lr: 5.000000e-04 eta: 10:58:44 time: 0.394679 data_time: 0.037812 memory: 7071 loss_kpt: 0.000710 acc_pose: 0.787895 loss: 0.000710 2022/09/27 22:23:45 - mmengine - INFO - Epoch(train) [43][100/586] lr: 5.000000e-04 eta: 10:58:21 time: 0.387656 data_time: 0.036909 memory: 7071 loss_kpt: 0.000717 acc_pose: 0.851105 loss: 0.000717 2022/09/27 22:24:05 - mmengine - INFO - Epoch(train) [43][150/586] lr: 5.000000e-04 eta: 10:57:59 time: 0.393774 data_time: 0.032274 memory: 7071 loss_kpt: 0.000709 acc_pose: 0.769176 loss: 0.000709 2022/09/27 22:24:25 - mmengine - INFO - Epoch(train) [43][200/586] lr: 5.000000e-04 eta: 10:57:40 time: 0.405273 data_time: 0.048648 memory: 7071 loss_kpt: 0.000683 acc_pose: 0.893444 loss: 0.000683 2022/09/27 22:24:45 - mmengine - INFO - Epoch(train) [43][250/586] lr: 5.000000e-04 eta: 10:57:19 time: 0.396447 data_time: 0.038136 memory: 7071 loss_kpt: 0.000695 acc_pose: 0.758194 loss: 0.000695 2022/09/27 22:25:04 - mmengine - INFO - Epoch(train) [43][300/586] lr: 5.000000e-04 eta: 10:56:56 time: 0.387621 data_time: 0.032071 memory: 7071 loss_kpt: 0.000705 acc_pose: 0.752803 loss: 0.000705 2022/09/27 22:25:24 - mmengine - INFO - Epoch(train) [43][350/586] lr: 5.000000e-04 eta: 10:56:32 time: 0.384052 data_time: 0.038479 memory: 7071 loss_kpt: 0.000699 acc_pose: 0.849519 loss: 0.000699 2022/09/27 22:25:38 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:25:43 - mmengine - INFO - Epoch(train) [43][400/586] lr: 5.000000e-04 eta: 10:56:08 time: 0.378024 data_time: 0.028437 memory: 7071 loss_kpt: 0.000728 acc_pose: 0.824420 loss: 0.000728 2022/09/27 22:26:03 - mmengine - INFO - Epoch(train) [43][450/586] lr: 5.000000e-04 eta: 10:55:51 time: 0.416259 data_time: 0.038783 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.826203 loss: 0.000708 2022/09/27 22:26:23 - mmengine - INFO - Epoch(train) [43][500/586] lr: 5.000000e-04 eta: 10:55:29 time: 0.392223 data_time: 0.029784 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.853748 loss: 0.000698 2022/09/27 22:26:42 - mmengine - INFO - Epoch(train) [43][550/586] lr: 5.000000e-04 eta: 10:55:05 time: 0.384942 data_time: 0.029543 memory: 7071 loss_kpt: 0.000710 acc_pose: 0.799203 loss: 0.000710 2022/09/27 22:26:56 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:27:16 - mmengine - INFO - Epoch(train) [44][50/586] lr: 5.000000e-04 eta: 10:53:35 time: 0.403005 data_time: 0.039494 memory: 7071 loss_kpt: 0.000712 acc_pose: 0.806482 loss: 0.000712 2022/09/27 22:27:35 - mmengine - INFO - Epoch(train) [44][100/586] lr: 5.000000e-04 eta: 10:53:13 time: 0.388055 data_time: 0.047165 memory: 7071 loss_kpt: 0.000695 acc_pose: 0.795648 loss: 0.000695 2022/09/27 22:27:55 - mmengine - INFO - Epoch(train) [44][150/586] lr: 5.000000e-04 eta: 10:52:50 time: 0.386187 data_time: 0.034027 memory: 7071 loss_kpt: 0.000728 acc_pose: 0.778496 loss: 0.000728 2022/09/27 22:28:14 - mmengine - INFO - Epoch(train) [44][200/586] lr: 5.000000e-04 eta: 10:52:26 time: 0.383181 data_time: 0.034010 memory: 7071 loss_kpt: 0.000720 acc_pose: 0.720543 loss: 0.000720 2022/09/27 22:28:33 - mmengine - INFO - Epoch(train) [44][250/586] lr: 5.000000e-04 eta: 10:52:02 time: 0.378458 data_time: 0.030366 memory: 7071 loss_kpt: 0.000717 acc_pose: 0.802958 loss: 0.000717 2022/09/27 22:28:52 - mmengine - INFO - Epoch(train) [44][300/586] lr: 5.000000e-04 eta: 10:51:40 time: 0.391486 data_time: 0.033540 memory: 7071 loss_kpt: 0.000715 acc_pose: 0.807686 loss: 0.000715 2022/09/27 22:29:12 - mmengine - INFO - Epoch(train) [44][350/586] lr: 5.000000e-04 eta: 10:51:19 time: 0.392615 data_time: 0.044497 memory: 7071 loss_kpt: 0.000726 acc_pose: 0.789951 loss: 0.000726 2022/09/27 22:29:31 - mmengine - INFO - Epoch(train) [44][400/586] lr: 5.000000e-04 eta: 10:50:54 time: 0.378729 data_time: 0.027337 memory: 7071 loss_kpt: 0.000717 acc_pose: 0.800757 loss: 0.000717 2022/09/27 22:29:51 - mmengine - INFO - Epoch(train) [44][450/586] lr: 5.000000e-04 eta: 10:50:34 time: 0.398778 data_time: 0.038070 memory: 7071 loss_kpt: 0.000695 acc_pose: 0.877321 loss: 0.000695 2022/09/27 22:30:11 - mmengine - INFO - Epoch(train) [44][500/586] lr: 5.000000e-04 eta: 10:50:15 time: 0.409004 data_time: 0.032510 memory: 7071 loss_kpt: 0.000702 acc_pose: 0.777525 loss: 0.000702 2022/09/27 22:30:32 - mmengine - INFO - Epoch(train) [44][550/586] lr: 5.000000e-04 eta: 10:49:57 time: 0.407807 data_time: 0.038607 memory: 7071 loss_kpt: 0.000675 acc_pose: 0.719891 loss: 0.000675 2022/09/27 22:30:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:31:07 - mmengine - INFO - Epoch(train) [45][50/586] lr: 5.000000e-04 eta: 10:48:30 time: 0.411827 data_time: 0.047179 memory: 7071 loss_kpt: 0.000713 acc_pose: 0.824356 loss: 0.000713 2022/09/27 22:31:26 - mmengine - INFO - Epoch(train) [45][100/586] lr: 5.000000e-04 eta: 10:48:08 time: 0.389335 data_time: 0.033221 memory: 7071 loss_kpt: 0.000715 acc_pose: 0.831672 loss: 0.000715 2022/09/27 22:31:45 - mmengine - INFO - Epoch(train) [45][150/586] lr: 5.000000e-04 eta: 10:47:46 time: 0.387180 data_time: 0.036952 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.786766 loss: 0.000698 2022/09/27 22:32:04 - mmengine - INFO - Epoch(train) [45][200/586] lr: 5.000000e-04 eta: 10:47:21 time: 0.376161 data_time: 0.031672 memory: 7071 loss_kpt: 0.000704 acc_pose: 0.828444 loss: 0.000704 2022/09/27 22:32:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:32:24 - mmengine - INFO - Epoch(train) [45][250/586] lr: 5.000000e-04 eta: 10:46:59 time: 0.387485 data_time: 0.034649 memory: 7071 loss_kpt: 0.000701 acc_pose: 0.815656 loss: 0.000701 2022/09/27 22:32:43 - mmengine - INFO - Epoch(train) [45][300/586] lr: 5.000000e-04 eta: 10:46:36 time: 0.383030 data_time: 0.035244 memory: 7071 loss_kpt: 0.000715 acc_pose: 0.810842 loss: 0.000715 2022/09/27 22:33:02 - mmengine - INFO - Epoch(train) [45][350/586] lr: 5.000000e-04 eta: 10:46:12 time: 0.379703 data_time: 0.031612 memory: 7071 loss_kpt: 0.000687 acc_pose: 0.705038 loss: 0.000687 2022/09/27 22:33:21 - mmengine - INFO - Epoch(train) [45][400/586] lr: 5.000000e-04 eta: 10:45:49 time: 0.386684 data_time: 0.037219 memory: 7071 loss_kpt: 0.000694 acc_pose: 0.789326 loss: 0.000694 2022/09/27 22:33:41 - mmengine - INFO - Epoch(train) [45][450/586] lr: 5.000000e-04 eta: 10:45:29 time: 0.400075 data_time: 0.030062 memory: 7071 loss_kpt: 0.000723 acc_pose: 0.817108 loss: 0.000723 2022/09/27 22:34:00 - mmengine - INFO - Epoch(train) [45][500/586] lr: 5.000000e-04 eta: 10:45:07 time: 0.385502 data_time: 0.035149 memory: 7071 loss_kpt: 0.000687 acc_pose: 0.776029 loss: 0.000687 2022/09/27 22:34:20 - mmengine - INFO - Epoch(train) [45][550/586] lr: 5.000000e-04 eta: 10:44:44 time: 0.383051 data_time: 0.033706 memory: 7071 loss_kpt: 0.000705 acc_pose: 0.781983 loss: 0.000705 2022/09/27 22:34:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:34:55 - mmengine - INFO - Epoch(train) [46][50/586] lr: 5.000000e-04 eta: 10:43:19 time: 0.411491 data_time: 0.055704 memory: 7071 loss_kpt: 0.000710 acc_pose: 0.819142 loss: 0.000710 2022/09/27 22:35:15 - mmengine - INFO - Epoch(train) [46][100/586] lr: 5.000000e-04 eta: 10:43:00 time: 0.407753 data_time: 0.031657 memory: 7071 loss_kpt: 0.000712 acc_pose: 0.773244 loss: 0.000712 2022/09/27 22:35:35 - mmengine - INFO - Epoch(train) [46][150/586] lr: 5.000000e-04 eta: 10:42:39 time: 0.395180 data_time: 0.041216 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.741371 loss: 0.000708 2022/09/27 22:35:54 - mmengine - INFO - Epoch(train) [46][200/586] lr: 5.000000e-04 eta: 10:42:18 time: 0.393526 data_time: 0.039955 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.768493 loss: 0.000698 2022/09/27 22:36:15 - mmengine - INFO - Epoch(train) [46][250/586] lr: 5.000000e-04 eta: 10:42:01 time: 0.413816 data_time: 0.036021 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.788290 loss: 0.000691 2022/09/27 22:36:35 - mmengine - INFO - Epoch(train) [46][300/586] lr: 5.000000e-04 eta: 10:41:41 time: 0.399963 data_time: 0.024881 memory: 7071 loss_kpt: 0.000696 acc_pose: 0.832438 loss: 0.000696 2022/09/27 22:36:54 - mmengine - INFO - Epoch(train) [46][350/586] lr: 5.000000e-04 eta: 10:41:17 time: 0.378052 data_time: 0.029233 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.825928 loss: 0.000698 2022/09/27 22:37:14 - mmengine - INFO - Epoch(train) [46][400/586] lr: 5.000000e-04 eta: 10:40:56 time: 0.389755 data_time: 0.041337 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.810943 loss: 0.000698 2022/09/27 22:37:32 - mmengine - INFO - Epoch(train) [46][450/586] lr: 5.000000e-04 eta: 10:40:30 time: 0.369268 data_time: 0.037191 memory: 7071 loss_kpt: 0.000714 acc_pose: 0.784876 loss: 0.000714 2022/09/27 22:37:52 - mmengine - INFO - Epoch(train) [46][500/586] lr: 5.000000e-04 eta: 10:40:11 time: 0.403584 data_time: 0.030616 memory: 7071 loss_kpt: 0.000728 acc_pose: 0.800570 loss: 0.000728 2022/09/27 22:38:12 - mmengine - INFO - Epoch(train) [46][550/586] lr: 5.000000e-04 eta: 10:39:49 time: 0.387603 data_time: 0.036458 memory: 7071 loss_kpt: 0.000693 acc_pose: 0.903622 loss: 0.000693 2022/09/27 22:38:26 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:38:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:38:46 - mmengine - INFO - Epoch(train) [47][50/586] lr: 5.000000e-04 eta: 10:38:24 time: 0.399658 data_time: 0.047332 memory: 7071 loss_kpt: 0.000688 acc_pose: 0.835390 loss: 0.000688 2022/09/27 22:39:06 - mmengine - INFO - Epoch(train) [47][100/586] lr: 5.000000e-04 eta: 10:38:04 time: 0.398981 data_time: 0.030880 memory: 7071 loss_kpt: 0.000713 acc_pose: 0.753632 loss: 0.000713 2022/09/27 22:39:25 - mmengine - INFO - Epoch(train) [47][150/586] lr: 5.000000e-04 eta: 10:37:43 time: 0.395184 data_time: 0.037341 memory: 7071 loss_kpt: 0.000702 acc_pose: 0.783601 loss: 0.000702 2022/09/27 22:39:44 - mmengine - INFO - Epoch(train) [47][200/586] lr: 5.000000e-04 eta: 10:37:20 time: 0.381563 data_time: 0.033895 memory: 7071 loss_kpt: 0.000718 acc_pose: 0.774625 loss: 0.000718 2022/09/27 22:40:04 - mmengine - INFO - Epoch(train) [47][250/586] lr: 5.000000e-04 eta: 10:37:01 time: 0.402326 data_time: 0.034527 memory: 7071 loss_kpt: 0.000703 acc_pose: 0.892738 loss: 0.000703 2022/09/27 22:40:25 - mmengine - INFO - Epoch(train) [47][300/586] lr: 5.000000e-04 eta: 10:36:42 time: 0.403757 data_time: 0.032282 memory: 7071 loss_kpt: 0.000711 acc_pose: 0.802549 loss: 0.000711 2022/09/27 22:40:44 - mmengine - INFO - Epoch(train) [47][350/586] lr: 5.000000e-04 eta: 10:36:21 time: 0.392902 data_time: 0.030449 memory: 7071 loss_kpt: 0.000688 acc_pose: 0.824237 loss: 0.000688 2022/09/27 22:41:03 - mmengine - INFO - Epoch(train) [47][400/586] lr: 5.000000e-04 eta: 10:35:58 time: 0.382393 data_time: 0.038894 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.843451 loss: 0.000698 2022/09/27 22:41:22 - mmengine - INFO - Epoch(train) [47][450/586] lr: 5.000000e-04 eta: 10:35:34 time: 0.372944 data_time: 0.031738 memory: 7071 loss_kpt: 0.000712 acc_pose: 0.803882 loss: 0.000712 2022/09/27 22:41:41 - mmengine - INFO - Epoch(train) [47][500/586] lr: 5.000000e-04 eta: 10:35:12 time: 0.386619 data_time: 0.036147 memory: 7071 loss_kpt: 0.000720 acc_pose: 0.843397 loss: 0.000720 2022/09/27 22:42:01 - mmengine - INFO - Epoch(train) [47][550/586] lr: 5.000000e-04 eta: 10:34:50 time: 0.388737 data_time: 0.034407 memory: 7071 loss_kpt: 0.000672 acc_pose: 0.825015 loss: 0.000672 2022/09/27 22:42:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:42:36 - mmengine - INFO - Epoch(train) [48][50/586] lr: 5.000000e-04 eta: 10:33:28 time: 0.410055 data_time: 0.043449 memory: 7071 loss_kpt: 0.000719 acc_pose: 0.827608 loss: 0.000719 2022/09/27 22:42:56 - mmengine - INFO - Epoch(train) [48][100/586] lr: 5.000000e-04 eta: 10:33:09 time: 0.401348 data_time: 0.030026 memory: 7071 loss_kpt: 0.000692 acc_pose: 0.741504 loss: 0.000692 2022/09/27 22:43:15 - mmengine - INFO - Epoch(train) [48][150/586] lr: 5.000000e-04 eta: 10:32:45 time: 0.379299 data_time: 0.029808 memory: 7071 loss_kpt: 0.000704 acc_pose: 0.842165 loss: 0.000704 2022/09/27 22:43:34 - mmengine - INFO - Epoch(train) [48][200/586] lr: 5.000000e-04 eta: 10:32:25 time: 0.394951 data_time: 0.037981 memory: 7071 loss_kpt: 0.000690 acc_pose: 0.777630 loss: 0.000690 2022/09/27 22:43:55 - mmengine - INFO - Epoch(train) [48][250/586] lr: 5.000000e-04 eta: 10:32:06 time: 0.402606 data_time: 0.034795 memory: 7071 loss_kpt: 0.000689 acc_pose: 0.771894 loss: 0.000689 2022/09/27 22:44:14 - mmengine - INFO - Epoch(train) [48][300/586] lr: 5.000000e-04 eta: 10:31:44 time: 0.389348 data_time: 0.035957 memory: 7071 loss_kpt: 0.000702 acc_pose: 0.807540 loss: 0.000702 2022/09/27 22:44:34 - mmengine - INFO - Epoch(train) [48][350/586] lr: 5.000000e-04 eta: 10:31:24 time: 0.393201 data_time: 0.039253 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.751203 loss: 0.000708 2022/09/27 22:44:53 - mmengine - INFO - Epoch(train) [48][400/586] lr: 5.000000e-04 eta: 10:31:00 time: 0.376951 data_time: 0.036956 memory: 7071 loss_kpt: 0.000711 acc_pose: 0.807560 loss: 0.000711 2022/09/27 22:45:12 - mmengine - INFO - Epoch(train) [48][450/586] lr: 5.000000e-04 eta: 10:30:39 time: 0.390665 data_time: 0.030610 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.804953 loss: 0.000698 2022/09/27 22:45:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:45:32 - mmengine - INFO - Epoch(train) [48][500/586] lr: 5.000000e-04 eta: 10:30:18 time: 0.390885 data_time: 0.029527 memory: 7071 loss_kpt: 0.000706 acc_pose: 0.759420 loss: 0.000706 2022/09/27 22:45:51 - mmengine - INFO - Epoch(train) [48][550/586] lr: 5.000000e-04 eta: 10:29:57 time: 0.390423 data_time: 0.032531 memory: 7071 loss_kpt: 0.000700 acc_pose: 0.832994 loss: 0.000700 2022/09/27 22:46:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:46:25 - mmengine - INFO - Epoch(train) [49][50/586] lr: 5.000000e-04 eta: 10:28:36 time: 0.409548 data_time: 0.050244 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.803867 loss: 0.000691 2022/09/27 22:46:45 - mmengine - INFO - Epoch(train) [49][100/586] lr: 5.000000e-04 eta: 10:28:15 time: 0.391178 data_time: 0.043386 memory: 7071 loss_kpt: 0.000696 acc_pose: 0.746743 loss: 0.000696 2022/09/27 22:47:04 - mmengine - INFO - Epoch(train) [49][150/586] lr: 5.000000e-04 eta: 10:27:53 time: 0.380505 data_time: 0.030723 memory: 7071 loss_kpt: 0.000703 acc_pose: 0.871947 loss: 0.000703 2022/09/27 22:47:24 - mmengine - INFO - Epoch(train) [49][200/586] lr: 5.000000e-04 eta: 10:27:34 time: 0.404450 data_time: 0.029404 memory: 7071 loss_kpt: 0.000717 acc_pose: 0.815161 loss: 0.000717 2022/09/27 22:47:43 - mmengine - INFO - Epoch(train) [49][250/586] lr: 5.000000e-04 eta: 10:27:11 time: 0.377659 data_time: 0.034025 memory: 7071 loss_kpt: 0.000675 acc_pose: 0.803660 loss: 0.000675 2022/09/27 22:48:02 - mmengine - INFO - Epoch(train) [49][300/586] lr: 5.000000e-04 eta: 10:26:47 time: 0.377448 data_time: 0.036678 memory: 7071 loss_kpt: 0.000686 acc_pose: 0.725282 loss: 0.000686 2022/09/27 22:48:21 - mmengine - INFO - Epoch(train) [49][350/586] lr: 5.000000e-04 eta: 10:26:25 time: 0.381959 data_time: 0.039851 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.747031 loss: 0.000698 2022/09/27 22:48:41 - mmengine - INFO - Epoch(train) [49][400/586] lr: 5.000000e-04 eta: 10:26:05 time: 0.396175 data_time: 0.030621 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.757570 loss: 0.000698 2022/09/27 22:49:00 - mmengine - INFO - Epoch(train) [49][450/586] lr: 5.000000e-04 eta: 10:25:44 time: 0.392863 data_time: 0.028856 memory: 7071 loss_kpt: 0.000689 acc_pose: 0.791395 loss: 0.000689 2022/09/27 22:49:20 - mmengine - INFO - Epoch(train) [49][500/586] lr: 5.000000e-04 eta: 10:25:22 time: 0.383999 data_time: 0.047781 memory: 7071 loss_kpt: 0.000711 acc_pose: 0.736390 loss: 0.000711 2022/09/27 22:49:39 - mmengine - INFO - Epoch(train) [49][550/586] lr: 5.000000e-04 eta: 10:25:00 time: 0.381417 data_time: 0.030346 memory: 7071 loss_kpt: 0.000704 acc_pose: 0.833506 loss: 0.000704 2022/09/27 22:49:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:50:13 - mmengine - INFO - Epoch(train) [50][50/586] lr: 5.000000e-04 eta: 10:23:40 time: 0.402516 data_time: 0.038947 memory: 7071 loss_kpt: 0.000697 acc_pose: 0.788605 loss: 0.000697 2022/09/27 22:50:32 - mmengine - INFO - Epoch(train) [50][100/586] lr: 5.000000e-04 eta: 10:23:17 time: 0.380888 data_time: 0.032891 memory: 7071 loss_kpt: 0.000714 acc_pose: 0.775035 loss: 0.000714 2022/09/27 22:50:51 - mmengine - INFO - Epoch(train) [50][150/586] lr: 5.000000e-04 eta: 10:22:56 time: 0.389666 data_time: 0.032315 memory: 7071 loss_kpt: 0.000696 acc_pose: 0.797675 loss: 0.000696 2022/09/27 22:51:10 - mmengine - INFO - Epoch(train) [50][200/586] lr: 5.000000e-04 eta: 10:22:33 time: 0.374084 data_time: 0.031826 memory: 7071 loss_kpt: 0.000689 acc_pose: 0.818741 loss: 0.000689 2022/09/27 22:51:30 - mmengine - INFO - Epoch(train) [50][250/586] lr: 5.000000e-04 eta: 10:22:14 time: 0.404902 data_time: 0.041189 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.845552 loss: 0.000708 2022/09/27 22:51:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:51:49 - mmengine - INFO - Epoch(train) [50][300/586] lr: 5.000000e-04 eta: 10:21:52 time: 0.383826 data_time: 0.029815 memory: 7071 loss_kpt: 0.000693 acc_pose: 0.802442 loss: 0.000693 2022/09/27 22:52:09 - mmengine - INFO - Epoch(train) [50][350/586] lr: 5.000000e-04 eta: 10:21:31 time: 0.387898 data_time: 0.030905 memory: 7071 loss_kpt: 0.000705 acc_pose: 0.858866 loss: 0.000705 2022/09/27 22:52:27 - mmengine - INFO - Epoch(train) [50][400/586] lr: 5.000000e-04 eta: 10:21:08 time: 0.376830 data_time: 0.034716 memory: 7071 loss_kpt: 0.000695 acc_pose: 0.796070 loss: 0.000695 2022/09/27 22:52:48 - mmengine - INFO - Epoch(train) [50][450/586] lr: 5.000000e-04 eta: 10:20:49 time: 0.403255 data_time: 0.033611 memory: 7071 loss_kpt: 0.000705 acc_pose: 0.787965 loss: 0.000705 2022/09/27 22:53:07 - mmengine - INFO - Epoch(train) [50][500/586] lr: 5.000000e-04 eta: 10:20:29 time: 0.395619 data_time: 0.032627 memory: 7071 loss_kpt: 0.000694 acc_pose: 0.790497 loss: 0.000694 2022/09/27 22:53:27 - mmengine - INFO - Epoch(train) [50][550/586] lr: 5.000000e-04 eta: 10:20:09 time: 0.393313 data_time: 0.044405 memory: 7071 loss_kpt: 0.000693 acc_pose: 0.742452 loss: 0.000693 2022/09/27 22:53:41 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 22:53:41 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/09/27 22:54:07 - mmengine - INFO - Epoch(val) [50][50/407] eta: 0:02:05 time: 0.352544 data_time: 0.136256 memory: 7071 2022/09/27 22:54:24 - mmengine - INFO - Epoch(val) [50][100/407] eta: 0:01:41 time: 0.329913 data_time: 0.132102 memory: 1674 2022/09/27 22:54:40 - mmengine - INFO - Epoch(val) [50][150/407] eta: 0:01:22 time: 0.322595 data_time: 0.118172 memory: 1674 2022/09/27 22:54:54 - mmengine - INFO - Epoch(val) [50][200/407] eta: 0:00:59 time: 0.285935 data_time: 0.090679 memory: 1674 2022/09/27 22:55:11 - mmengine - INFO - Epoch(val) [50][250/407] eta: 0:00:51 time: 0.330306 data_time: 0.123920 memory: 1674 2022/09/27 22:55:27 - mmengine - INFO - Epoch(val) [50][300/407] eta: 0:00:34 time: 0.320068 data_time: 0.089432 memory: 1674 2022/09/27 22:55:43 - mmengine - INFO - Epoch(val) [50][350/407] eta: 0:00:18 time: 0.324658 data_time: 0.101799 memory: 1674 2022/09/27 22:55:54 - mmengine - INFO - Epoch(val) [50][400/407] eta: 0:00:01 time: 0.221006 data_time: 0.091924 memory: 1674 2022/09/27 22:56:27 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 22:56:40 - mmengine - INFO - Epoch(val) [50][407/407] coco/AP: 0.698145 coco/AP .5: 0.887675 coco/AP .75: 0.780526 coco/AP (M): 0.663495 coco/AP (L): 0.764713 coco/AR: 0.756691 coco/AR .5: 0.928369 coco/AR .75: 0.830605 coco/AR (M): 0.714286 coco/AR (L): 0.818357 2022/09/27 22:56:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_40.pth is removed 2022/09/27 22:56:43 - mmengine - INFO - The best checkpoint with 0.6981 coco/AP at 50 epoch is saved to best_coco/AP_epoch_50.pth. 2022/09/27 22:57:03 - mmengine - INFO - Epoch(train) [51][50/586] lr: 5.000000e-04 eta: 10:18:50 time: 0.402842 data_time: 0.057082 memory: 7071 loss_kpt: 0.000692 acc_pose: 0.771765 loss: 0.000692 2022/09/27 22:57:22 - mmengine - INFO - Epoch(train) [51][100/586] lr: 5.000000e-04 eta: 10:18:28 time: 0.382177 data_time: 0.030063 memory: 7071 loss_kpt: 0.000694 acc_pose: 0.824090 loss: 0.000694 2022/09/27 22:57:41 - mmengine - INFO - Epoch(train) [51][150/586] lr: 5.000000e-04 eta: 10:18:05 time: 0.376634 data_time: 0.033467 memory: 7071 loss_kpt: 0.000701 acc_pose: 0.795220 loss: 0.000701 2022/09/27 22:58:02 - mmengine - INFO - Epoch(train) [51][200/586] lr: 5.000000e-04 eta: 10:17:47 time: 0.409293 data_time: 0.032097 memory: 7071 loss_kpt: 0.000684 acc_pose: 0.808882 loss: 0.000684 2022/09/27 22:58:21 - mmengine - INFO - Epoch(train) [51][250/586] lr: 5.000000e-04 eta: 10:17:27 time: 0.392416 data_time: 0.034873 memory: 7071 loss_kpt: 0.000688 acc_pose: 0.799258 loss: 0.000688 2022/09/27 22:58:40 - mmengine - INFO - Epoch(train) [51][300/586] lr: 5.000000e-04 eta: 10:17:04 time: 0.378117 data_time: 0.034038 memory: 7071 loss_kpt: 0.000697 acc_pose: 0.785494 loss: 0.000697 2022/09/27 22:58:59 - mmengine - INFO - Epoch(train) [51][350/586] lr: 5.000000e-04 eta: 10:16:42 time: 0.384132 data_time: 0.035370 memory: 7071 loss_kpt: 0.000677 acc_pose: 0.875642 loss: 0.000677 2022/09/27 22:59:19 - mmengine - INFO - Epoch(train) [51][400/586] lr: 5.000000e-04 eta: 10:16:22 time: 0.391690 data_time: 0.035954 memory: 7071 loss_kpt: 0.000689 acc_pose: 0.866050 loss: 0.000689 2022/09/27 22:59:38 - mmengine - INFO - Epoch(train) [51][450/586] lr: 5.000000e-04 eta: 10:15:59 time: 0.376817 data_time: 0.031197 memory: 7071 loss_kpt: 0.000693 acc_pose: 0.792789 loss: 0.000693 2022/09/27 22:59:57 - mmengine - INFO - Epoch(train) [51][500/586] lr: 5.000000e-04 eta: 10:15:36 time: 0.377831 data_time: 0.028322 memory: 7071 loss_kpt: 0.000699 acc_pose: 0.868594 loss: 0.000699 2022/09/27 23:00:15 - mmengine - INFO - Epoch(train) [51][550/586] lr: 5.000000e-04 eta: 10:15:12 time: 0.369331 data_time: 0.030179 memory: 7071 loss_kpt: 0.000694 acc_pose: 0.821712 loss: 0.000694 2022/09/27 23:00:29 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:00:50 - mmengine - INFO - Epoch(train) [52][50/586] lr: 5.000000e-04 eta: 10:13:56 time: 0.410548 data_time: 0.062532 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.792567 loss: 0.000691 2022/09/27 23:01:09 - mmengine - INFO - Epoch(train) [52][100/586] lr: 5.000000e-04 eta: 10:13:36 time: 0.391732 data_time: 0.049057 memory: 7071 loss_kpt: 0.000670 acc_pose: 0.777927 loss: 0.000670 2022/09/27 23:01:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:01:28 - mmengine - INFO - Epoch(train) [52][150/586] lr: 5.000000e-04 eta: 10:13:14 time: 0.378903 data_time: 0.035111 memory: 7071 loss_kpt: 0.000704 acc_pose: 0.842300 loss: 0.000704 2022/09/27 23:01:48 - mmengine - INFO - Epoch(train) [52][200/586] lr: 5.000000e-04 eta: 10:12:53 time: 0.388680 data_time: 0.032692 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.806153 loss: 0.000674 2022/09/27 23:02:07 - mmengine - INFO - Epoch(train) [52][250/586] lr: 5.000000e-04 eta: 10:12:32 time: 0.388741 data_time: 0.031230 memory: 7071 loss_kpt: 0.000709 acc_pose: 0.804647 loss: 0.000709 2022/09/27 23:02:26 - mmengine - INFO - Epoch(train) [52][300/586] lr: 5.000000e-04 eta: 10:12:11 time: 0.388431 data_time: 0.037939 memory: 7071 loss_kpt: 0.000700 acc_pose: 0.776346 loss: 0.000700 2022/09/27 23:02:46 - mmengine - INFO - Epoch(train) [52][350/586] lr: 5.000000e-04 eta: 10:11:50 time: 0.386883 data_time: 0.029757 memory: 7071 loss_kpt: 0.000695 acc_pose: 0.835029 loss: 0.000695 2022/09/27 23:03:05 - mmengine - INFO - Epoch(train) [52][400/586] lr: 5.000000e-04 eta: 10:11:28 time: 0.380479 data_time: 0.037385 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.746778 loss: 0.000691 2022/09/27 23:03:24 - mmengine - INFO - Epoch(train) [52][450/586] lr: 5.000000e-04 eta: 10:11:06 time: 0.380031 data_time: 0.029617 memory: 7071 loss_kpt: 0.000696 acc_pose: 0.836173 loss: 0.000696 2022/09/27 23:03:43 - mmengine - INFO - Epoch(train) [52][500/586] lr: 5.000000e-04 eta: 10:10:43 time: 0.378894 data_time: 0.033436 memory: 7071 loss_kpt: 0.000678 acc_pose: 0.831785 loss: 0.000678 2022/09/27 23:04:02 - mmengine - INFO - Epoch(train) [52][550/586] lr: 5.000000e-04 eta: 10:10:23 time: 0.390710 data_time: 0.032757 memory: 7071 loss_kpt: 0.000695 acc_pose: 0.785158 loss: 0.000695 2022/09/27 23:04:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:04:36 - mmengine - INFO - Epoch(train) [53][50/586] lr: 5.000000e-04 eta: 10:09:07 time: 0.404484 data_time: 0.045491 memory: 7071 loss_kpt: 0.000685 acc_pose: 0.790414 loss: 0.000685 2022/09/27 23:04:56 - mmengine - INFO - Epoch(train) [53][100/586] lr: 5.000000e-04 eta: 10:08:47 time: 0.392970 data_time: 0.035968 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.910186 loss: 0.000674 2022/09/27 23:05:15 - mmengine - INFO - Epoch(train) [53][150/586] lr: 5.000000e-04 eta: 10:08:25 time: 0.381846 data_time: 0.040126 memory: 7071 loss_kpt: 0.000689 acc_pose: 0.799960 loss: 0.000689 2022/09/27 23:05:34 - mmengine - INFO - Epoch(train) [53][200/586] lr: 5.000000e-04 eta: 10:08:05 time: 0.389332 data_time: 0.036313 memory: 7071 loss_kpt: 0.000677 acc_pose: 0.812787 loss: 0.000677 2022/09/27 23:05:54 - mmengine - INFO - Epoch(train) [53][250/586] lr: 5.000000e-04 eta: 10:07:43 time: 0.380715 data_time: 0.041056 memory: 7071 loss_kpt: 0.000693 acc_pose: 0.857579 loss: 0.000693 2022/09/27 23:06:13 - mmengine - INFO - Epoch(train) [53][300/586] lr: 5.000000e-04 eta: 10:07:22 time: 0.389486 data_time: 0.038247 memory: 7071 loss_kpt: 0.000678 acc_pose: 0.878417 loss: 0.000678 2022/09/27 23:06:33 - mmengine - INFO - Epoch(train) [53][350/586] lr: 5.000000e-04 eta: 10:07:02 time: 0.389777 data_time: 0.032180 memory: 7071 loss_kpt: 0.000679 acc_pose: 0.776662 loss: 0.000679 2022/09/27 23:06:52 - mmengine - INFO - Epoch(train) [53][400/586] lr: 5.000000e-04 eta: 10:06:41 time: 0.385543 data_time: 0.041690 memory: 7071 loss_kpt: 0.000697 acc_pose: 0.786142 loss: 0.000697 2022/09/27 23:07:11 - mmengine - INFO - Epoch(train) [53][450/586] lr: 5.000000e-04 eta: 10:06:20 time: 0.387759 data_time: 0.037616 memory: 7071 loss_kpt: 0.000692 acc_pose: 0.840990 loss: 0.000692 2022/09/27 23:07:31 - mmengine - INFO - Epoch(train) [53][500/586] lr: 5.000000e-04 eta: 10:05:59 time: 0.388953 data_time: 0.033156 memory: 7071 loss_kpt: 0.000690 acc_pose: 0.773115 loss: 0.000690 2022/09/27 23:07:42 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:07:56 - mmengine - INFO - Epoch(train) [53][550/586] lr: 5.000000e-04 eta: 10:05:57 time: 0.509142 data_time: 0.045968 memory: 7071 loss_kpt: 0.000689 acc_pose: 0.711546 loss: 0.000689 2022/09/27 23:08:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:08:39 - mmengine - INFO - Epoch(train) [54][50/586] lr: 5.000000e-04 eta: 10:04:40 time: 0.392340 data_time: 0.041315 memory: 7071 loss_kpt: 0.000661 acc_pose: 0.824293 loss: 0.000661 2022/09/27 23:08:59 - mmengine - INFO - Epoch(train) [54][100/586] lr: 5.000000e-04 eta: 10:04:21 time: 0.396714 data_time: 0.038159 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.717806 loss: 0.000674 2022/09/27 23:09:18 - mmengine - INFO - Epoch(train) [54][150/586] lr: 5.000000e-04 eta: 10:03:59 time: 0.382197 data_time: 0.031740 memory: 7071 loss_kpt: 0.000686 acc_pose: 0.796690 loss: 0.000686 2022/09/27 23:09:37 - mmengine - INFO - Epoch(train) [54][200/586] lr: 5.000000e-04 eta: 10:03:39 time: 0.392749 data_time: 0.034845 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.783921 loss: 0.000698 2022/09/27 23:09:58 - mmengine - INFO - Epoch(train) [54][250/586] lr: 5.000000e-04 eta: 10:03:22 time: 0.412420 data_time: 0.037805 memory: 7071 loss_kpt: 0.000689 acc_pose: 0.872424 loss: 0.000689 2022/09/27 23:10:17 - mmengine - INFO - Epoch(train) [54][300/586] lr: 5.000000e-04 eta: 10:03:01 time: 0.382280 data_time: 0.042200 memory: 7071 loss_kpt: 0.000696 acc_pose: 0.838545 loss: 0.000696 2022/09/27 23:10:37 - mmengine - INFO - Epoch(train) [54][350/586] lr: 5.000000e-04 eta: 10:02:42 time: 0.401283 data_time: 0.056174 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.846014 loss: 0.000674 2022/09/27 23:10:56 - mmengine - INFO - Epoch(train) [54][400/586] lr: 5.000000e-04 eta: 10:02:20 time: 0.378822 data_time: 0.030695 memory: 7071 loss_kpt: 0.000671 acc_pose: 0.847683 loss: 0.000671 2022/09/27 23:11:16 - mmengine - INFO - Epoch(train) [54][450/586] lr: 5.000000e-04 eta: 10:02:00 time: 0.391559 data_time: 0.033434 memory: 7071 loss_kpt: 0.000684 acc_pose: 0.866456 loss: 0.000684 2022/09/27 23:11:35 - mmengine - INFO - Epoch(train) [54][500/586] lr: 5.000000e-04 eta: 10:01:39 time: 0.391232 data_time: 0.033773 memory: 7071 loss_kpt: 0.000687 acc_pose: 0.815746 loss: 0.000687 2022/09/27 23:11:55 - mmengine - INFO - Epoch(train) [54][550/586] lr: 5.000000e-04 eta: 10:01:18 time: 0.385528 data_time: 0.035568 memory: 7071 loss_kpt: 0.000685 acc_pose: 0.818095 loss: 0.000685 2022/09/27 23:12:09 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:12:29 - mmengine - INFO - Epoch(train) [55][50/586] lr: 5.000000e-04 eta: 10:00:05 time: 0.401806 data_time: 0.046824 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.682177 loss: 0.000691 2022/09/27 23:12:49 - mmengine - INFO - Epoch(train) [55][100/586] lr: 5.000000e-04 eta: 9:59:45 time: 0.392862 data_time: 0.030216 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.842924 loss: 0.000674 2022/09/27 23:13:08 - mmengine - INFO - Epoch(train) [55][150/586] lr: 5.000000e-04 eta: 9:59:24 time: 0.384289 data_time: 0.031563 memory: 7071 loss_kpt: 0.000701 acc_pose: 0.823256 loss: 0.000701 2022/09/27 23:13:27 - mmengine - INFO - Epoch(train) [55][200/586] lr: 5.000000e-04 eta: 9:59:03 time: 0.384715 data_time: 0.037159 memory: 7071 loss_kpt: 0.000692 acc_pose: 0.808678 loss: 0.000692 2022/09/27 23:13:47 - mmengine - INFO - Epoch(train) [55][250/586] lr: 5.000000e-04 eta: 9:58:43 time: 0.397034 data_time: 0.031196 memory: 7071 loss_kpt: 0.000677 acc_pose: 0.894464 loss: 0.000677 2022/09/27 23:14:07 - mmengine - INFO - Epoch(train) [55][300/586] lr: 5.000000e-04 eta: 9:58:23 time: 0.388177 data_time: 0.030171 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.867390 loss: 0.000669 2022/09/27 23:14:26 - mmengine - INFO - Epoch(train) [55][350/586] lr: 5.000000e-04 eta: 9:58:01 time: 0.377678 data_time: 0.031404 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.779709 loss: 0.000674 2022/09/27 23:14:28 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:14:44 - mmengine - INFO - Epoch(train) [55][400/586] lr: 5.000000e-04 eta: 9:57:38 time: 0.376135 data_time: 0.032751 memory: 7071 loss_kpt: 0.000703 acc_pose: 0.828424 loss: 0.000703 2022/09/27 23:15:03 - mmengine - INFO - Epoch(train) [55][450/586] lr: 5.000000e-04 eta: 9:57:17 time: 0.381353 data_time: 0.047338 memory: 7071 loss_kpt: 0.000672 acc_pose: 0.794381 loss: 0.000672 2022/09/27 23:15:24 - mmengine - INFO - Epoch(train) [55][500/586] lr: 5.000000e-04 eta: 9:56:59 time: 0.408825 data_time: 0.034819 memory: 7071 loss_kpt: 0.000699 acc_pose: 0.725413 loss: 0.000699 2022/09/27 23:15:44 - mmengine - INFO - Epoch(train) [55][550/586] lr: 5.000000e-04 eta: 9:56:40 time: 0.393084 data_time: 0.035414 memory: 7071 loss_kpt: 0.000685 acc_pose: 0.805522 loss: 0.000685 2022/09/27 23:15:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:16:18 - mmengine - INFO - Epoch(train) [56][50/586] lr: 5.000000e-04 eta: 9:55:27 time: 0.406205 data_time: 0.052073 memory: 7071 loss_kpt: 0.000675 acc_pose: 0.709783 loss: 0.000675 2022/09/27 23:16:36 - mmengine - INFO - Epoch(train) [56][100/586] lr: 5.000000e-04 eta: 9:55:04 time: 0.368236 data_time: 0.028029 memory: 7071 loss_kpt: 0.000675 acc_pose: 0.830871 loss: 0.000675 2022/09/27 23:16:57 - mmengine - INFO - Epoch(train) [56][150/586] lr: 5.000000e-04 eta: 9:54:46 time: 0.402585 data_time: 0.034129 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.812426 loss: 0.000691 2022/09/27 23:17:16 - mmengine - INFO - Epoch(train) [56][200/586] lr: 5.000000e-04 eta: 9:54:24 time: 0.379762 data_time: 0.033600 memory: 7071 loss_kpt: 0.000679 acc_pose: 0.831361 loss: 0.000679 2022/09/27 23:17:35 - mmengine - INFO - Epoch(train) [56][250/586] lr: 5.000000e-04 eta: 9:54:03 time: 0.385451 data_time: 0.034348 memory: 7071 loss_kpt: 0.000684 acc_pose: 0.799126 loss: 0.000684 2022/09/27 23:17:54 - mmengine - INFO - Epoch(train) [56][300/586] lr: 5.000000e-04 eta: 9:53:43 time: 0.389738 data_time: 0.041667 memory: 7071 loss_kpt: 0.000696 acc_pose: 0.769657 loss: 0.000696 2022/09/27 23:18:13 - mmengine - INFO - Epoch(train) [56][350/586] lr: 5.000000e-04 eta: 9:53:21 time: 0.378497 data_time: 0.031025 memory: 7071 loss_kpt: 0.000692 acc_pose: 0.866733 loss: 0.000692 2022/09/27 23:18:33 - mmengine - INFO - Epoch(train) [56][400/586] lr: 5.000000e-04 eta: 9:53:02 time: 0.395402 data_time: 0.041381 memory: 7071 loss_kpt: 0.000675 acc_pose: 0.756807 loss: 0.000675 2022/09/27 23:18:53 - mmengine - INFO - Epoch(train) [56][450/586] lr: 5.000000e-04 eta: 9:52:42 time: 0.393303 data_time: 0.041355 memory: 7071 loss_kpt: 0.000694 acc_pose: 0.804825 loss: 0.000694 2022/09/27 23:19:12 - mmengine - INFO - Epoch(train) [56][500/586] lr: 5.000000e-04 eta: 9:52:22 time: 0.389176 data_time: 0.034115 memory: 7071 loss_kpt: 0.000708 acc_pose: 0.822535 loss: 0.000708 2022/09/27 23:19:31 - mmengine - INFO - Epoch(train) [56][550/586] lr: 5.000000e-04 eta: 9:52:01 time: 0.381243 data_time: 0.044685 memory: 7071 loss_kpt: 0.000694 acc_pose: 0.825513 loss: 0.000694 2022/09/27 23:19:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:20:06 - mmengine - INFO - Epoch(train) [57][50/586] lr: 5.000000e-04 eta: 9:50:51 time: 0.417045 data_time: 0.044981 memory: 7071 loss_kpt: 0.000667 acc_pose: 0.838200 loss: 0.000667 2022/09/27 23:20:25 - mmengine - INFO - Epoch(train) [57][100/586] lr: 5.000000e-04 eta: 9:50:30 time: 0.380978 data_time: 0.028809 memory: 7071 loss_kpt: 0.000671 acc_pose: 0.757553 loss: 0.000671 2022/09/27 23:20:44 - mmengine - INFO - Epoch(train) [57][150/586] lr: 5.000000e-04 eta: 9:50:09 time: 0.380984 data_time: 0.033514 memory: 7071 loss_kpt: 0.000679 acc_pose: 0.792534 loss: 0.000679 2022/09/27 23:20:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:21:03 - mmengine - INFO - Epoch(train) [57][200/586] lr: 5.000000e-04 eta: 9:49:49 time: 0.392286 data_time: 0.029825 memory: 7071 loss_kpt: 0.000696 acc_pose: 0.830141 loss: 0.000696 2022/09/27 23:21:22 - mmengine - INFO - Epoch(train) [57][250/586] lr: 5.000000e-04 eta: 9:49:26 time: 0.372188 data_time: 0.030302 memory: 7071 loss_kpt: 0.000680 acc_pose: 0.805354 loss: 0.000680 2022/09/27 23:21:42 - mmengine - INFO - Epoch(train) [57][300/586] lr: 5.000000e-04 eta: 9:49:07 time: 0.390899 data_time: 0.033583 memory: 7071 loss_kpt: 0.000679 acc_pose: 0.874940 loss: 0.000679 2022/09/27 23:22:01 - mmengine - INFO - Epoch(train) [57][350/586] lr: 5.000000e-04 eta: 9:48:45 time: 0.380833 data_time: 0.039703 memory: 7071 loss_kpt: 0.000682 acc_pose: 0.798365 loss: 0.000682 2022/09/27 23:22:20 - mmengine - INFO - Epoch(train) [57][400/586] lr: 5.000000e-04 eta: 9:48:25 time: 0.389164 data_time: 0.032403 memory: 7071 loss_kpt: 0.000684 acc_pose: 0.829278 loss: 0.000684 2022/09/27 23:22:39 - mmengine - INFO - Epoch(train) [57][450/586] lr: 5.000000e-04 eta: 9:48:05 time: 0.386492 data_time: 0.036335 memory: 7071 loss_kpt: 0.000697 acc_pose: 0.863751 loss: 0.000697 2022/09/27 23:22:59 - mmengine - INFO - Epoch(train) [57][500/586] lr: 5.000000e-04 eta: 9:47:44 time: 0.387031 data_time: 0.041634 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.904525 loss: 0.000676 2022/09/27 23:23:18 - mmengine - INFO - Epoch(train) [57][550/586] lr: 5.000000e-04 eta: 9:47:24 time: 0.393087 data_time: 0.039913 memory: 7071 loss_kpt: 0.000682 acc_pose: 0.763226 loss: 0.000682 2022/09/27 23:23:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:23:52 - mmengine - INFO - Epoch(train) [58][50/586] lr: 5.000000e-04 eta: 9:46:14 time: 0.404749 data_time: 0.051637 memory: 7071 loss_kpt: 0.000688 acc_pose: 0.858884 loss: 0.000688 2022/09/27 23:24:12 - mmengine - INFO - Epoch(train) [58][100/586] lr: 5.000000e-04 eta: 9:45:55 time: 0.397123 data_time: 0.043700 memory: 7071 loss_kpt: 0.000660 acc_pose: 0.866848 loss: 0.000660 2022/09/27 23:24:31 - mmengine - INFO - Epoch(train) [58][150/586] lr: 5.000000e-04 eta: 9:45:35 time: 0.388029 data_time: 0.032070 memory: 7071 loss_kpt: 0.000682 acc_pose: 0.794743 loss: 0.000682 2022/09/27 23:24:51 - mmengine - INFO - Epoch(train) [58][200/586] lr: 5.000000e-04 eta: 9:45:16 time: 0.395420 data_time: 0.041708 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.789794 loss: 0.000698 2022/09/27 23:25:11 - mmengine - INFO - Epoch(train) [58][250/586] lr: 5.000000e-04 eta: 9:44:56 time: 0.389538 data_time: 0.040168 memory: 7071 loss_kpt: 0.000672 acc_pose: 0.793248 loss: 0.000672 2022/09/27 23:25:30 - mmengine - INFO - Epoch(train) [58][300/586] lr: 5.000000e-04 eta: 9:44:36 time: 0.388951 data_time: 0.034259 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.837031 loss: 0.000664 2022/09/27 23:25:49 - mmengine - INFO - Epoch(train) [58][350/586] lr: 5.000000e-04 eta: 9:44:15 time: 0.386243 data_time: 0.035667 memory: 7071 loss_kpt: 0.000683 acc_pose: 0.822322 loss: 0.000683 2022/09/27 23:26:10 - mmengine - INFO - Epoch(train) [58][400/586] lr: 5.000000e-04 eta: 9:43:58 time: 0.408846 data_time: 0.036448 memory: 7071 loss_kpt: 0.000672 acc_pose: 0.807061 loss: 0.000672 2022/09/27 23:26:30 - mmengine - INFO - Epoch(train) [58][450/586] lr: 5.000000e-04 eta: 9:43:39 time: 0.398370 data_time: 0.042583 memory: 7071 loss_kpt: 0.000697 acc_pose: 0.750554 loss: 0.000697 2022/09/27 23:26:50 - mmengine - INFO - Epoch(train) [58][500/586] lr: 5.000000e-04 eta: 9:43:20 time: 0.399841 data_time: 0.033997 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.777131 loss: 0.000674 2022/09/27 23:27:09 - mmengine - INFO - Epoch(train) [58][550/586] lr: 5.000000e-04 eta: 9:43:00 time: 0.384805 data_time: 0.030300 memory: 7071 loss_kpt: 0.000672 acc_pose: 0.828137 loss: 0.000672 2022/09/27 23:27:22 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:27:28 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:27:43 - mmengine - INFO - Epoch(train) [59][50/586] lr: 5.000000e-04 eta: 9:41:51 time: 0.406708 data_time: 0.049434 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.900452 loss: 0.000664 2022/09/27 23:28:03 - mmengine - INFO - Epoch(train) [59][100/586] lr: 5.000000e-04 eta: 9:41:33 time: 0.407927 data_time: 0.033326 memory: 7071 loss_kpt: 0.000671 acc_pose: 0.815806 loss: 0.000671 2022/09/27 23:28:29 - mmengine - INFO - Epoch(train) [59][150/586] lr: 5.000000e-04 eta: 9:41:29 time: 0.508080 data_time: 0.077979 memory: 7071 loss_kpt: 0.000687 acc_pose: 0.875132 loss: 0.000687 2022/09/27 23:28:49 - mmengine - INFO - Epoch(train) [59][200/586] lr: 5.000000e-04 eta: 9:41:12 time: 0.413956 data_time: 0.042863 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.835886 loss: 0.000676 2022/09/27 23:29:12 - mmengine - INFO - Epoch(train) [59][250/586] lr: 5.000000e-04 eta: 9:41:01 time: 0.457557 data_time: 0.067729 memory: 7071 loss_kpt: 0.000671 acc_pose: 0.766919 loss: 0.000671 2022/09/27 23:30:11 - mmengine - INFO - Epoch(train) [59][300/586] lr: 5.000000e-04 eta: 9:42:22 time: 1.171390 data_time: 0.058488 memory: 7071 loss_kpt: 0.000677 acc_pose: 0.870103 loss: 0.000677 2022/09/27 23:31:14 - mmengine - INFO - Epoch(train) [59][350/586] lr: 5.000000e-04 eta: 9:43:55 time: 1.267200 data_time: 0.179111 memory: 7071 loss_kpt: 0.000689 acc_pose: 0.829920 loss: 0.000689 2022/09/27 23:31:40 - mmengine - INFO - Epoch(train) [59][400/586] lr: 5.000000e-04 eta: 9:43:51 time: 0.516516 data_time: 0.033335 memory: 7071 loss_kpt: 0.000687 acc_pose: 0.748290 loss: 0.000687 2022/09/27 23:32:02 - mmengine - INFO - Epoch(train) [59][450/586] lr: 5.000000e-04 eta: 9:43:36 time: 0.432277 data_time: 0.040745 memory: 7071 loss_kpt: 0.000682 acc_pose: 0.836757 loss: 0.000682 2022/09/27 23:32:26 - mmengine - INFO - Epoch(train) [59][500/586] lr: 5.000000e-04 eta: 9:43:28 time: 0.486779 data_time: 0.039579 memory: 7071 loss_kpt: 0.000679 acc_pose: 0.829586 loss: 0.000679 2022/09/27 23:32:51 - mmengine - INFO - Epoch(train) [59][550/586] lr: 5.000000e-04 eta: 9:43:22 time: 0.505411 data_time: 0.069616 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.848303 loss: 0.000669 2022/09/27 23:33:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:33:28 - mmengine - INFO - Epoch(train) [60][50/586] lr: 5.000000e-04 eta: 9:42:14 time: 0.411517 data_time: 0.039228 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.783673 loss: 0.000664 2022/09/27 23:33:48 - mmengine - INFO - Epoch(train) [60][100/586] lr: 5.000000e-04 eta: 9:41:56 time: 0.407266 data_time: 0.035436 memory: 7071 loss_kpt: 0.000654 acc_pose: 0.872837 loss: 0.000654 2022/09/27 23:34:08 - mmengine - INFO - Epoch(train) [60][150/586] lr: 5.000000e-04 eta: 9:41:37 time: 0.400708 data_time: 0.031983 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.822984 loss: 0.000676 2022/09/27 23:34:28 - mmengine - INFO - Epoch(train) [60][200/586] lr: 5.000000e-04 eta: 9:41:16 time: 0.385965 data_time: 0.037234 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.764435 loss: 0.000664 2022/09/27 23:34:47 - mmengine - INFO - Epoch(train) [60][250/586] lr: 5.000000e-04 eta: 9:40:55 time: 0.385408 data_time: 0.034157 memory: 7071 loss_kpt: 0.000670 acc_pose: 0.762323 loss: 0.000670 2022/09/27 23:35:06 - mmengine - INFO - Epoch(train) [60][300/586] lr: 5.000000e-04 eta: 9:40:34 time: 0.386146 data_time: 0.031716 memory: 7071 loss_kpt: 0.000682 acc_pose: 0.794805 loss: 0.000682 2022/09/27 23:35:26 - mmengine - INFO - Epoch(train) [60][350/586] lr: 5.000000e-04 eta: 9:40:14 time: 0.388402 data_time: 0.045765 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.778122 loss: 0.000691 2022/09/27 23:35:46 - mmengine - INFO - Epoch(train) [60][400/586] lr: 5.000000e-04 eta: 9:39:56 time: 0.413595 data_time: 0.051070 memory: 7071 loss_kpt: 0.000698 acc_pose: 0.799759 loss: 0.000698 2022/09/27 23:35:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:36:07 - mmengine - INFO - Epoch(train) [60][450/586] lr: 5.000000e-04 eta: 9:39:39 time: 0.413052 data_time: 0.042773 memory: 7071 loss_kpt: 0.000677 acc_pose: 0.729800 loss: 0.000677 2022/09/27 23:36:27 - mmengine - INFO - Epoch(train) [60][500/586] lr: 5.000000e-04 eta: 9:39:20 time: 0.400761 data_time: 0.050755 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.825048 loss: 0.000691 2022/09/27 23:36:46 - mmengine - INFO - Epoch(train) [60][550/586] lr: 5.000000e-04 eta: 9:38:59 time: 0.385314 data_time: 0.030155 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.830263 loss: 0.000676 2022/09/27 23:37:00 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:37:00 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/09/27 23:37:26 - mmengine - INFO - Epoch(val) [60][50/407] eta: 0:01:52 time: 0.315266 data_time: 0.116299 memory: 7071 2022/09/27 23:37:42 - mmengine - INFO - Epoch(val) [60][100/407] eta: 0:01:36 time: 0.314908 data_time: 0.104378 memory: 1674 2022/09/27 23:37:59 - mmengine - INFO - Epoch(val) [60][150/407] eta: 0:01:25 time: 0.331429 data_time: 0.118495 memory: 1674 2022/09/27 23:38:14 - mmengine - INFO - Epoch(val) [60][200/407] eta: 0:01:03 time: 0.306941 data_time: 0.100054 memory: 1674 2022/09/27 23:38:30 - mmengine - INFO - Epoch(val) [60][250/407] eta: 0:00:50 time: 0.319023 data_time: 0.110558 memory: 1674 2022/09/27 23:38:46 - mmengine - INFO - Epoch(val) [60][300/407] eta: 0:00:34 time: 0.326002 data_time: 0.100852 memory: 1674 2022/09/27 23:39:03 - mmengine - INFO - Epoch(val) [60][350/407] eta: 0:00:18 time: 0.332465 data_time: 0.108395 memory: 1674 2022/09/27 23:39:15 - mmengine - INFO - Epoch(val) [60][400/407] eta: 0:00:01 time: 0.237440 data_time: 0.101726 memory: 1674 2022/09/27 23:39:47 - mmengine - INFO - Evaluating CocoMetric... 2022/09/27 23:40:00 - mmengine - INFO - Epoch(val) [60][407/407] coco/AP: 0.705457 coco/AP .5: 0.894687 coco/AP .75: 0.787605 coco/AP (M): 0.671182 coco/AP (L): 0.769171 coco/AR: 0.763240 coco/AR .5: 0.933722 coco/AR .75: 0.836429 coco/AR (M): 0.721306 coco/AR (L): 0.823523 2022/09/27 23:40:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_50.pth is removed 2022/09/27 23:40:04 - mmengine - INFO - The best checkpoint with 0.7055 coco/AP at 60 epoch is saved to best_coco/AP_epoch_60.pth. 2022/09/27 23:40:23 - mmengine - INFO - Epoch(train) [61][50/586] lr: 5.000000e-04 eta: 9:37:49 time: 0.390961 data_time: 0.050606 memory: 7071 loss_kpt: 0.000665 acc_pose: 0.878953 loss: 0.000665 2022/09/27 23:40:43 - mmengine - INFO - Epoch(train) [61][100/586] lr: 5.000000e-04 eta: 9:37:29 time: 0.393537 data_time: 0.033688 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.871207 loss: 0.000657 2022/09/27 23:41:03 - mmengine - INFO - Epoch(train) [61][150/586] lr: 5.000000e-04 eta: 9:37:09 time: 0.395997 data_time: 0.028647 memory: 7071 loss_kpt: 0.000655 acc_pose: 0.831215 loss: 0.000655 2022/09/27 23:41:22 - mmengine - INFO - Epoch(train) [61][200/586] lr: 5.000000e-04 eta: 9:36:47 time: 0.377434 data_time: 0.027710 memory: 7071 loss_kpt: 0.000690 acc_pose: 0.790307 loss: 0.000690 2022/09/27 23:41:41 - mmengine - INFO - Epoch(train) [61][250/586] lr: 5.000000e-04 eta: 9:36:27 time: 0.389890 data_time: 0.037997 memory: 7071 loss_kpt: 0.000686 acc_pose: 0.854238 loss: 0.000686 2022/09/27 23:42:00 - mmengine - INFO - Epoch(train) [61][300/586] lr: 5.000000e-04 eta: 9:36:06 time: 0.380544 data_time: 0.036479 memory: 7071 loss_kpt: 0.000684 acc_pose: 0.840521 loss: 0.000684 2022/09/27 23:42:20 - mmengine - INFO - Epoch(train) [61][350/586] lr: 5.000000e-04 eta: 9:35:47 time: 0.401506 data_time: 0.043175 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.854500 loss: 0.000674 2022/09/27 23:42:40 - mmengine - INFO - Epoch(train) [61][400/586] lr: 5.000000e-04 eta: 9:35:28 time: 0.401421 data_time: 0.031984 memory: 7071 loss_kpt: 0.000681 acc_pose: 0.820148 loss: 0.000681 2022/09/27 23:43:00 - mmengine - INFO - Epoch(train) [61][450/586] lr: 5.000000e-04 eta: 9:35:09 time: 0.401596 data_time: 0.036536 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.856753 loss: 0.000676 2022/09/27 23:43:20 - mmengine - INFO - Epoch(train) [61][500/586] lr: 5.000000e-04 eta: 9:34:49 time: 0.396723 data_time: 0.043159 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.869788 loss: 0.000669 2022/09/27 23:43:40 - mmengine - INFO - Epoch(train) [61][550/586] lr: 5.000000e-04 eta: 9:34:29 time: 0.391835 data_time: 0.044229 memory: 7071 loss_kpt: 0.000663 acc_pose: 0.787279 loss: 0.000663 2022/09/27 23:43:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:44:14 - mmengine - INFO - Epoch(train) [62][50/586] lr: 5.000000e-04 eta: 9:33:21 time: 0.393854 data_time: 0.039644 memory: 7071 loss_kpt: 0.000686 acc_pose: 0.736182 loss: 0.000686 2022/09/27 23:44:34 - mmengine - INFO - Epoch(train) [62][100/586] lr: 5.000000e-04 eta: 9:33:01 time: 0.392217 data_time: 0.031452 memory: 7071 loss_kpt: 0.000686 acc_pose: 0.810606 loss: 0.000686 2022/09/27 23:44:53 - mmengine - INFO - Epoch(train) [62][150/586] lr: 5.000000e-04 eta: 9:32:39 time: 0.379121 data_time: 0.037248 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.861500 loss: 0.000669 2022/09/27 23:45:12 - mmengine - INFO - Epoch(train) [62][200/586] lr: 5.000000e-04 eta: 9:32:19 time: 0.388019 data_time: 0.029278 memory: 7071 loss_kpt: 0.000655 acc_pose: 0.785018 loss: 0.000655 2022/09/27 23:45:32 - mmengine - INFO - Epoch(train) [62][250/586] lr: 5.000000e-04 eta: 9:32:00 time: 0.401501 data_time: 0.038883 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.779033 loss: 0.000659 2022/09/27 23:45:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:45:52 - mmengine - INFO - Epoch(train) [62][300/586] lr: 5.000000e-04 eta: 9:31:40 time: 0.395086 data_time: 0.043361 memory: 7071 loss_kpt: 0.000690 acc_pose: 0.765956 loss: 0.000690 2022/09/27 23:46:11 - mmengine - INFO - Epoch(train) [62][350/586] lr: 5.000000e-04 eta: 9:31:20 time: 0.386951 data_time: 0.028397 memory: 7071 loss_kpt: 0.000678 acc_pose: 0.862231 loss: 0.000678 2022/09/27 23:46:30 - mmengine - INFO - Epoch(train) [62][400/586] lr: 5.000000e-04 eta: 9:30:58 time: 0.376387 data_time: 0.030258 memory: 7071 loss_kpt: 0.000666 acc_pose: 0.862492 loss: 0.000666 2022/09/27 23:46:50 - mmengine - INFO - Epoch(train) [62][450/586] lr: 5.000000e-04 eta: 9:30:38 time: 0.393695 data_time: 0.034387 memory: 7071 loss_kpt: 0.000679 acc_pose: 0.822594 loss: 0.000679 2022/09/27 23:47:09 - mmengine - INFO - Epoch(train) [62][500/586] lr: 5.000000e-04 eta: 9:30:17 time: 0.385059 data_time: 0.040547 memory: 7071 loss_kpt: 0.000671 acc_pose: 0.867519 loss: 0.000671 2022/09/27 23:47:44 - mmengine - INFO - Epoch(train) [62][550/586] lr: 5.000000e-04 eta: 9:30:35 time: 0.707823 data_time: 0.158234 memory: 7071 loss_kpt: 0.000688 acc_pose: 0.755472 loss: 0.000688 2022/09/27 23:48:09 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:49:25 - mmengine - INFO - Epoch(train) [63][50/586] lr: 5.000000e-04 eta: 9:31:40 time: 1.506731 data_time: 0.125617 memory: 7071 loss_kpt: 0.000688 acc_pose: 0.796733 loss: 0.000688 2022/09/27 23:50:34 - mmengine - INFO - Epoch(train) [63][100/586] lr: 5.000000e-04 eta: 9:33:19 time: 1.392723 data_time: 0.042608 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.845489 loss: 0.000651 2022/09/27 23:50:58 - mmengine - INFO - Epoch(train) [63][150/586] lr: 5.000000e-04 eta: 9:33:08 time: 0.476176 data_time: 0.097999 memory: 7071 loss_kpt: 0.000665 acc_pose: 0.870649 loss: 0.000665 2022/09/27 23:51:23 - mmengine - INFO - Epoch(train) [63][200/586] lr: 5.000000e-04 eta: 9:32:59 time: 0.491797 data_time: 0.050966 memory: 7071 loss_kpt: 0.000686 acc_pose: 0.789819 loss: 0.000686 2022/09/27 23:51:43 - mmengine - INFO - Epoch(train) [63][250/586] lr: 5.000000e-04 eta: 9:32:41 time: 0.412283 data_time: 0.039357 memory: 7071 loss_kpt: 0.000683 acc_pose: 0.813961 loss: 0.000683 2022/09/27 23:52:04 - mmengine - INFO - Epoch(train) [63][300/586] lr: 5.000000e-04 eta: 9:32:23 time: 0.413678 data_time: 0.036996 memory: 7071 loss_kpt: 0.000666 acc_pose: 0.835024 loss: 0.000666 2022/09/27 23:52:24 - mmengine - INFO - Epoch(train) [63][350/586] lr: 5.000000e-04 eta: 9:32:04 time: 0.399448 data_time: 0.033231 memory: 7071 loss_kpt: 0.000661 acc_pose: 0.868816 loss: 0.000661 2022/09/27 23:52:48 - mmengine - INFO - Epoch(train) [63][400/586] lr: 5.000000e-04 eta: 9:31:54 time: 0.485361 data_time: 0.052689 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.816447 loss: 0.000664 2022/09/27 23:53:09 - mmengine - INFO - Epoch(train) [63][450/586] lr: 5.000000e-04 eta: 9:31:36 time: 0.411133 data_time: 0.036768 memory: 7071 loss_kpt: 0.000677 acc_pose: 0.821768 loss: 0.000677 2022/09/27 23:53:29 - mmengine - INFO - Epoch(train) [63][500/586] lr: 5.000000e-04 eta: 9:31:17 time: 0.407469 data_time: 0.041216 memory: 7071 loss_kpt: 0.000673 acc_pose: 0.808822 loss: 0.000673 2022/09/27 23:53:51 - mmengine - INFO - Epoch(train) [63][550/586] lr: 5.000000e-04 eta: 9:31:01 time: 0.424156 data_time: 0.038198 memory: 7071 loss_kpt: 0.000672 acc_pose: 0.845384 loss: 0.000672 2022/09/27 23:54:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:54:25 - mmengine - INFO - Epoch(train) [64][50/586] lr: 5.000000e-04 eta: 9:29:53 time: 0.399176 data_time: 0.044031 memory: 7071 loss_kpt: 0.000678 acc_pose: 0.804955 loss: 0.000678 2022/09/27 23:54:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:54:44 - mmengine - INFO - Epoch(train) [64][100/586] lr: 5.000000e-04 eta: 9:29:32 time: 0.382434 data_time: 0.043811 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.791662 loss: 0.000676 2022/09/27 23:55:03 - mmengine - INFO - Epoch(train) [64][150/586] lr: 5.000000e-04 eta: 9:29:10 time: 0.382320 data_time: 0.032196 memory: 7071 loss_kpt: 0.000662 acc_pose: 0.739011 loss: 0.000662 2022/09/27 23:55:22 - mmengine - INFO - Epoch(train) [64][200/586] lr: 5.000000e-04 eta: 9:28:49 time: 0.389399 data_time: 0.041897 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.837433 loss: 0.000656 2022/09/27 23:55:42 - mmengine - INFO - Epoch(train) [64][250/586] lr: 5.000000e-04 eta: 9:28:29 time: 0.392191 data_time: 0.033416 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.851228 loss: 0.000658 2022/09/27 23:56:02 - mmengine - INFO - Epoch(train) [64][300/586] lr: 5.000000e-04 eta: 9:28:09 time: 0.395054 data_time: 0.035391 memory: 7071 loss_kpt: 0.000680 acc_pose: 0.828817 loss: 0.000680 2022/09/27 23:56:22 - mmengine - INFO - Epoch(train) [64][350/586] lr: 5.000000e-04 eta: 9:27:50 time: 0.405010 data_time: 0.040594 memory: 7071 loss_kpt: 0.000678 acc_pose: 0.765495 loss: 0.000678 2022/09/27 23:56:42 - mmengine - INFO - Epoch(train) [64][400/586] lr: 5.000000e-04 eta: 9:27:31 time: 0.403059 data_time: 0.038446 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.854809 loss: 0.000669 2022/09/27 23:57:01 - mmengine - INFO - Epoch(train) [64][450/586] lr: 5.000000e-04 eta: 9:27:09 time: 0.380744 data_time: 0.034213 memory: 7071 loss_kpt: 0.000684 acc_pose: 0.852595 loss: 0.000684 2022/09/27 23:57:20 - mmengine - INFO - Epoch(train) [64][500/586] lr: 5.000000e-04 eta: 9:26:47 time: 0.376735 data_time: 0.036929 memory: 7071 loss_kpt: 0.000677 acc_pose: 0.822399 loss: 0.000677 2022/09/27 23:57:39 - mmengine - INFO - Epoch(train) [64][550/586] lr: 5.000000e-04 eta: 9:26:25 time: 0.384689 data_time: 0.038455 memory: 7071 loss_kpt: 0.000695 acc_pose: 0.836620 loss: 0.000695 2022/09/27 23:57:53 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/27 23:58:14 - mmengine - INFO - Epoch(train) [65][50/586] lr: 5.000000e-04 eta: 9:25:21 time: 0.414554 data_time: 0.039663 memory: 7071 loss_kpt: 0.000691 acc_pose: 0.808925 loss: 0.000691 2022/09/27 23:58:34 - mmengine - INFO - Epoch(train) [65][100/586] lr: 5.000000e-04 eta: 9:25:02 time: 0.403430 data_time: 0.035263 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.821014 loss: 0.000647 2022/09/27 23:58:54 - mmengine - INFO - Epoch(train) [65][150/586] lr: 5.000000e-04 eta: 9:24:40 time: 0.384414 data_time: 0.038042 memory: 7071 loss_kpt: 0.000673 acc_pose: 0.773315 loss: 0.000673 2022/09/27 23:59:13 - mmengine - INFO - Epoch(train) [65][200/586] lr: 5.000000e-04 eta: 9:24:19 time: 0.380625 data_time: 0.037025 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.826315 loss: 0.000669 2022/09/27 23:59:32 - mmengine - INFO - Epoch(train) [65][250/586] lr: 5.000000e-04 eta: 9:23:58 time: 0.390639 data_time: 0.033291 memory: 7071 loss_kpt: 0.000681 acc_pose: 0.772199 loss: 0.000681 2022/09/27 23:59:51 - mmengine - INFO - Epoch(train) [65][300/586] lr: 5.000000e-04 eta: 9:23:37 time: 0.382024 data_time: 0.034638 memory: 7071 loss_kpt: 0.000673 acc_pose: 0.801577 loss: 0.000673 2022/09/28 00:00:13 - mmengine - INFO - Epoch(train) [65][350/586] lr: 5.000000e-04 eta: 9:23:22 time: 0.439670 data_time: 0.033819 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.892913 loss: 0.000653 2022/09/28 00:00:35 - mmengine - INFO - Epoch(train) [65][400/586] lr: 5.000000e-04 eta: 9:23:05 time: 0.425246 data_time: 0.053590 memory: 7071 loss_kpt: 0.000667 acc_pose: 0.848270 loss: 0.000667 2022/09/28 00:00:54 - mmengine - INFO - Epoch(train) [65][450/586] lr: 5.000000e-04 eta: 9:22:44 time: 0.382941 data_time: 0.039085 memory: 7071 loss_kpt: 0.000666 acc_pose: 0.819807 loss: 0.000666 2022/09/28 00:01:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:01:13 - mmengine - INFO - Epoch(train) [65][500/586] lr: 5.000000e-04 eta: 9:22:23 time: 0.386855 data_time: 0.036295 memory: 7071 loss_kpt: 0.000684 acc_pose: 0.866603 loss: 0.000684 2022/09/28 00:01:33 - mmengine - INFO - Epoch(train) [65][550/586] lr: 5.000000e-04 eta: 9:22:03 time: 0.399553 data_time: 0.037625 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.815894 loss: 0.000659 2022/09/28 00:01:47 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:02:07 - mmengine - INFO - Epoch(train) [66][50/586] lr: 5.000000e-04 eta: 9:20:57 time: 0.395901 data_time: 0.051444 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.761722 loss: 0.000658 2022/09/28 00:02:26 - mmengine - INFO - Epoch(train) [66][100/586] lr: 5.000000e-04 eta: 9:20:36 time: 0.382855 data_time: 0.056848 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.732383 loss: 0.000664 2022/09/28 00:02:45 - mmengine - INFO - Epoch(train) [66][150/586] lr: 5.000000e-04 eta: 9:20:15 time: 0.384379 data_time: 0.031975 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.834391 loss: 0.000659 2022/09/28 00:03:04 - mmengine - INFO - Epoch(train) [66][200/586] lr: 5.000000e-04 eta: 9:19:54 time: 0.384897 data_time: 0.033518 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.833107 loss: 0.000653 2022/09/28 00:03:24 - mmengine - INFO - Epoch(train) [66][250/586] lr: 5.000000e-04 eta: 9:19:34 time: 0.399564 data_time: 0.034807 memory: 7071 loss_kpt: 0.000668 acc_pose: 0.797364 loss: 0.000668 2022/09/28 00:03:44 - mmengine - INFO - Epoch(train) [66][300/586] lr: 5.000000e-04 eta: 9:19:13 time: 0.382316 data_time: 0.032316 memory: 7071 loss_kpt: 0.000654 acc_pose: 0.809736 loss: 0.000654 2022/09/28 00:04:03 - mmengine - INFO - Epoch(train) [66][350/586] lr: 5.000000e-04 eta: 9:18:53 time: 0.392734 data_time: 0.038290 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.807001 loss: 0.000653 2022/09/28 00:04:23 - mmengine - INFO - Epoch(train) [66][400/586] lr: 5.000000e-04 eta: 9:18:33 time: 0.394757 data_time: 0.039464 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.827796 loss: 0.000676 2022/09/28 00:04:43 - mmengine - INFO - Epoch(train) [66][450/586] lr: 5.000000e-04 eta: 9:18:12 time: 0.391109 data_time: 0.033664 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.894694 loss: 0.000669 2022/09/28 00:05:03 - mmengine - INFO - Epoch(train) [66][500/586] lr: 5.000000e-04 eta: 9:17:53 time: 0.399414 data_time: 0.036565 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.814141 loss: 0.000676 2022/09/28 00:05:22 - mmengine - INFO - Epoch(train) [66][550/586] lr: 5.000000e-04 eta: 9:17:32 time: 0.385048 data_time: 0.034404 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.830364 loss: 0.000656 2022/09/28 00:05:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:05:56 - mmengine - INFO - Epoch(train) [67][50/586] lr: 5.000000e-04 eta: 9:16:29 time: 0.414603 data_time: 0.042315 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.816721 loss: 0.000650 2022/09/28 00:06:16 - mmengine - INFO - Epoch(train) [67][100/586] lr: 5.000000e-04 eta: 9:16:09 time: 0.393624 data_time: 0.032582 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.792043 loss: 0.000640 2022/09/28 00:06:35 - mmengine - INFO - Epoch(train) [67][150/586] lr: 5.000000e-04 eta: 9:15:48 time: 0.385425 data_time: 0.030327 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.829266 loss: 0.000657 2022/09/28 00:06:54 - mmengine - INFO - Epoch(train) [67][200/586] lr: 5.000000e-04 eta: 9:15:26 time: 0.376296 data_time: 0.033367 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.762264 loss: 0.000664 2022/09/28 00:07:14 - mmengine - INFO - Epoch(train) [67][250/586] lr: 5.000000e-04 eta: 9:15:06 time: 0.392450 data_time: 0.047016 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.890540 loss: 0.000669 2022/09/28 00:07:33 - mmengine - INFO - Epoch(train) [67][300/586] lr: 5.000000e-04 eta: 9:14:44 time: 0.379461 data_time: 0.033661 memory: 7071 loss_kpt: 0.000673 acc_pose: 0.837099 loss: 0.000673 2022/09/28 00:07:42 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:07:52 - mmengine - INFO - Epoch(train) [67][350/586] lr: 5.000000e-04 eta: 9:14:24 time: 0.390094 data_time: 0.037576 memory: 7071 loss_kpt: 0.000673 acc_pose: 0.780305 loss: 0.000673 2022/09/28 00:08:12 - mmengine - INFO - Epoch(train) [67][400/586] lr: 5.000000e-04 eta: 9:14:03 time: 0.389715 data_time: 0.033974 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.859741 loss: 0.000659 2022/09/28 00:08:32 - mmengine - INFO - Epoch(train) [67][450/586] lr: 5.000000e-04 eta: 9:13:43 time: 0.395301 data_time: 0.036139 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.811363 loss: 0.000659 2022/09/28 00:08:52 - mmengine - INFO - Epoch(train) [67][500/586] lr: 5.000000e-04 eta: 9:13:25 time: 0.406695 data_time: 0.040898 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.862217 loss: 0.000669 2022/09/28 00:09:12 - mmengine - INFO - Epoch(train) [67][550/586] lr: 5.000000e-04 eta: 9:13:06 time: 0.408405 data_time: 0.037839 memory: 7071 loss_kpt: 0.000668 acc_pose: 0.781538 loss: 0.000668 2022/09/28 00:09:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:09:47 - mmengine - INFO - Epoch(train) [68][50/586] lr: 5.000000e-04 eta: 9:12:04 time: 0.411479 data_time: 0.039331 memory: 7071 loss_kpt: 0.000675 acc_pose: 0.811161 loss: 0.000675 2022/09/28 00:10:07 - mmengine - INFO - Epoch(train) [68][100/586] lr: 5.000000e-04 eta: 9:11:44 time: 0.400776 data_time: 0.034382 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.853027 loss: 0.000664 2022/09/28 00:10:27 - mmengine - INFO - Epoch(train) [68][150/586] lr: 5.000000e-04 eta: 9:11:25 time: 0.402537 data_time: 0.036139 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.826306 loss: 0.000659 2022/09/28 00:10:47 - mmengine - INFO - Epoch(train) [68][200/586] lr: 5.000000e-04 eta: 9:11:05 time: 0.389333 data_time: 0.031377 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.796615 loss: 0.000657 2022/09/28 00:11:06 - mmengine - INFO - Epoch(train) [68][250/586] lr: 5.000000e-04 eta: 9:10:44 time: 0.387903 data_time: 0.033705 memory: 7071 loss_kpt: 0.000682 acc_pose: 0.774087 loss: 0.000682 2022/09/28 00:11:25 - mmengine - INFO - Epoch(train) [68][300/586] lr: 5.000000e-04 eta: 9:10:23 time: 0.384154 data_time: 0.035017 memory: 7071 loss_kpt: 0.000690 acc_pose: 0.857033 loss: 0.000690 2022/09/28 00:11:45 - mmengine - INFO - Epoch(train) [68][350/586] lr: 5.000000e-04 eta: 9:10:02 time: 0.384963 data_time: 0.038795 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.808843 loss: 0.000664 2022/09/28 00:12:04 - mmengine - INFO - Epoch(train) [68][400/586] lr: 5.000000e-04 eta: 9:09:42 time: 0.385264 data_time: 0.048164 memory: 7071 loss_kpt: 0.000696 acc_pose: 0.845466 loss: 0.000696 2022/09/28 00:12:24 - mmengine - INFO - Epoch(train) [68][450/586] lr: 5.000000e-04 eta: 9:09:23 time: 0.405676 data_time: 0.034767 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.797072 loss: 0.000664 2022/09/28 00:12:44 - mmengine - INFO - Epoch(train) [68][500/586] lr: 5.000000e-04 eta: 9:09:03 time: 0.394982 data_time: 0.043105 memory: 7071 loss_kpt: 0.000665 acc_pose: 0.783670 loss: 0.000665 2022/09/28 00:13:04 - mmengine - INFO - Epoch(train) [68][550/586] lr: 5.000000e-04 eta: 9:08:44 time: 0.404519 data_time: 0.044554 memory: 7071 loss_kpt: 0.000665 acc_pose: 0.806385 loss: 0.000665 2022/09/28 00:13:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:13:38 - mmengine - INFO - Epoch(train) [69][50/586] lr: 5.000000e-04 eta: 9:07:42 time: 0.411984 data_time: 0.064027 memory: 7071 loss_kpt: 0.000665 acc_pose: 0.895662 loss: 0.000665 2022/09/28 00:13:57 - mmengine - INFO - Epoch(train) [69][100/586] lr: 5.000000e-04 eta: 9:07:20 time: 0.374979 data_time: 0.031801 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.795879 loss: 0.000657 2022/09/28 00:14:16 - mmengine - INFO - Epoch(train) [69][150/586] lr: 5.000000e-04 eta: 9:06:59 time: 0.377839 data_time: 0.034440 memory: 7071 loss_kpt: 0.000646 acc_pose: 0.823693 loss: 0.000646 2022/09/28 00:14:17 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:14:36 - mmengine - INFO - Epoch(train) [69][200/586] lr: 5.000000e-04 eta: 9:06:40 time: 0.405988 data_time: 0.039339 memory: 7071 loss_kpt: 0.000668 acc_pose: 0.752449 loss: 0.000668 2022/09/28 00:14:55 - mmengine - INFO - Epoch(train) [69][250/586] lr: 5.000000e-04 eta: 9:06:19 time: 0.379327 data_time: 0.032686 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.875194 loss: 0.000674 2022/09/28 00:15:15 - mmengine - INFO - Epoch(train) [69][300/586] lr: 5.000000e-04 eta: 9:05:58 time: 0.385820 data_time: 0.043271 memory: 7071 loss_kpt: 0.000670 acc_pose: 0.845904 loss: 0.000670 2022/09/28 00:15:34 - mmengine - INFO - Epoch(train) [69][350/586] lr: 5.000000e-04 eta: 9:05:37 time: 0.382437 data_time: 0.041325 memory: 7071 loss_kpt: 0.000685 acc_pose: 0.834212 loss: 0.000685 2022/09/28 00:15:53 - mmengine - INFO - Epoch(train) [69][400/586] lr: 5.000000e-04 eta: 9:05:17 time: 0.394033 data_time: 0.029810 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.821855 loss: 0.000657 2022/09/28 00:16:14 - mmengine - INFO - Epoch(train) [69][450/586] lr: 5.000000e-04 eta: 9:04:58 time: 0.403630 data_time: 0.026798 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.850077 loss: 0.000657 2022/09/28 00:16:33 - mmengine - INFO - Epoch(train) [69][500/586] lr: 5.000000e-04 eta: 9:04:38 time: 0.387299 data_time: 0.038298 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.868838 loss: 0.000658 2022/09/28 00:16:53 - mmengine - INFO - Epoch(train) [69][550/586] lr: 5.000000e-04 eta: 9:04:19 time: 0.406822 data_time: 0.047029 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.905571 loss: 0.000653 2022/09/28 00:17:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:17:28 - mmengine - INFO - Epoch(train) [70][50/586] lr: 5.000000e-04 eta: 9:03:19 time: 0.419504 data_time: 0.047584 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.796910 loss: 0.000657 2022/09/28 00:17:47 - mmengine - INFO - Epoch(train) [70][100/586] lr: 5.000000e-04 eta: 9:02:58 time: 0.380864 data_time: 0.032850 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.862337 loss: 0.000658 2022/09/28 00:18:07 - mmengine - INFO - Epoch(train) [70][150/586] lr: 5.000000e-04 eta: 9:02:37 time: 0.388290 data_time: 0.041810 memory: 7071 loss_kpt: 0.000646 acc_pose: 0.871333 loss: 0.000646 2022/09/28 00:18:27 - mmengine - INFO - Epoch(train) [70][200/586] lr: 5.000000e-04 eta: 9:02:18 time: 0.399747 data_time: 0.038262 memory: 7071 loss_kpt: 0.000654 acc_pose: 0.787183 loss: 0.000654 2022/09/28 00:18:46 - mmengine - INFO - Epoch(train) [70][250/586] lr: 5.000000e-04 eta: 9:01:57 time: 0.383746 data_time: 0.038437 memory: 7071 loss_kpt: 0.000644 acc_pose: 0.859432 loss: 0.000644 2022/09/28 00:19:06 - mmengine - INFO - Epoch(train) [70][300/586] lr: 5.000000e-04 eta: 9:01:39 time: 0.412269 data_time: 0.032178 memory: 7071 loss_kpt: 0.000699 acc_pose: 0.832896 loss: 0.000699 2022/09/28 00:19:26 - mmengine - INFO - Epoch(train) [70][350/586] lr: 5.000000e-04 eta: 9:01:19 time: 0.395279 data_time: 0.032535 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.820822 loss: 0.000669 2022/09/28 00:19:46 - mmengine - INFO - Epoch(train) [70][400/586] lr: 5.000000e-04 eta: 9:00:59 time: 0.391175 data_time: 0.031800 memory: 7071 loss_kpt: 0.000663 acc_pose: 0.807422 loss: 0.000663 2022/09/28 00:20:06 - mmengine - INFO - Epoch(train) [70][450/586] lr: 5.000000e-04 eta: 9:00:40 time: 0.396831 data_time: 0.048664 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.841475 loss: 0.000653 2022/09/28 00:20:24 - mmengine - INFO - Epoch(train) [70][500/586] lr: 5.000000e-04 eta: 9:00:18 time: 0.376854 data_time: 0.032550 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.848090 loss: 0.000669 2022/09/28 00:20:44 - mmengine - INFO - Epoch(train) [70][550/586] lr: 5.000000e-04 eta: 8:59:59 time: 0.400915 data_time: 0.036056 memory: 7071 loss_kpt: 0.000672 acc_pose: 0.841412 loss: 0.000672 2022/09/28 00:20:51 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:20:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:20:58 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/09/28 00:21:24 - mmengine - INFO - Epoch(val) [70][50/407] eta: 0:01:59 time: 0.333961 data_time: 0.133007 memory: 7071 2022/09/28 00:21:40 - mmengine - INFO - Epoch(val) [70][100/407] eta: 0:01:35 time: 0.312663 data_time: 0.108223 memory: 1674 2022/09/28 00:21:57 - mmengine - INFO - Epoch(val) [70][150/407] eta: 0:01:25 time: 0.334223 data_time: 0.133924 memory: 1674 2022/09/28 00:22:13 - mmengine - INFO - Epoch(val) [70][200/407] eta: 0:01:07 time: 0.323876 data_time: 0.129709 memory: 1674 2022/09/28 00:22:30 - mmengine - INFO - Epoch(val) [70][250/407] eta: 0:00:53 time: 0.341728 data_time: 0.151792 memory: 1674 2022/09/28 00:22:45 - mmengine - INFO - Epoch(val) [70][300/407] eta: 0:00:33 time: 0.308494 data_time: 0.118767 memory: 1674 2022/09/28 00:23:02 - mmengine - INFO - Epoch(val) [70][350/407] eta: 0:00:19 time: 0.340475 data_time: 0.131737 memory: 1674 2022/09/28 00:23:16 - mmengine - INFO - Epoch(val) [70][400/407] eta: 0:00:01 time: 0.269078 data_time: 0.097888 memory: 1674 2022/09/28 00:23:48 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 00:24:01 - mmengine - INFO - Epoch(val) [70][407/407] coco/AP: 0.707008 coco/AP .5: 0.893684 coco/AP .75: 0.786041 coco/AP (M): 0.672261 coco/AP (L): 0.773126 coco/AR: 0.764043 coco/AR .5: 0.932462 coco/AR .75: 0.836429 coco/AR (M): 0.721497 coco/AR (L): 0.825715 2022/09/28 00:24:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_60.pth is removed 2022/09/28 00:24:03 - mmengine - INFO - The best checkpoint with 0.7070 coco/AP at 70 epoch is saved to best_coco/AP_epoch_70.pth. 2022/09/28 00:24:23 - mmengine - INFO - Epoch(train) [71][50/586] lr: 5.000000e-04 eta: 8:58:57 time: 0.392117 data_time: 0.046977 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.877647 loss: 0.000674 2022/09/28 00:24:42 - mmengine - INFO - Epoch(train) [71][100/586] lr: 5.000000e-04 eta: 8:58:36 time: 0.384735 data_time: 0.033521 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.826362 loss: 0.000657 2022/09/28 00:25:02 - mmengine - INFO - Epoch(train) [71][150/586] lr: 5.000000e-04 eta: 8:58:15 time: 0.387387 data_time: 0.035024 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.789153 loss: 0.000651 2022/09/28 00:25:21 - mmengine - INFO - Epoch(train) [71][200/586] lr: 5.000000e-04 eta: 8:57:55 time: 0.382790 data_time: 0.036795 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.828452 loss: 0.000649 2022/09/28 00:25:40 - mmengine - INFO - Epoch(train) [71][250/586] lr: 5.000000e-04 eta: 8:57:34 time: 0.385004 data_time: 0.031298 memory: 7071 loss_kpt: 0.000644 acc_pose: 0.840387 loss: 0.000644 2022/09/28 00:25:59 - mmengine - INFO - Epoch(train) [71][300/586] lr: 5.000000e-04 eta: 8:57:13 time: 0.384514 data_time: 0.039089 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.849013 loss: 0.000656 2022/09/28 00:26:18 - mmengine - INFO - Epoch(train) [71][350/586] lr: 5.000000e-04 eta: 8:56:53 time: 0.386313 data_time: 0.035988 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.785875 loss: 0.000674 2022/09/28 00:26:38 - mmengine - INFO - Epoch(train) [71][400/586] lr: 5.000000e-04 eta: 8:56:33 time: 0.390001 data_time: 0.042344 memory: 7071 loss_kpt: 0.000655 acc_pose: 0.842900 loss: 0.000655 2022/09/28 00:26:57 - mmengine - INFO - Epoch(train) [71][450/586] lr: 5.000000e-04 eta: 8:56:11 time: 0.377647 data_time: 0.033387 memory: 7071 loss_kpt: 0.000663 acc_pose: 0.749445 loss: 0.000663 2022/09/28 00:27:16 - mmengine - INFO - Epoch(train) [71][500/586] lr: 5.000000e-04 eta: 8:55:50 time: 0.382551 data_time: 0.034843 memory: 7071 loss_kpt: 0.000660 acc_pose: 0.825052 loss: 0.000660 2022/09/28 00:27:36 - mmengine - INFO - Epoch(train) [71][550/586] lr: 5.000000e-04 eta: 8:55:30 time: 0.389470 data_time: 0.037941 memory: 7071 loss_kpt: 0.000661 acc_pose: 0.837412 loss: 0.000661 2022/09/28 00:27:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:28:10 - mmengine - INFO - Epoch(train) [72][50/586] lr: 5.000000e-04 eta: 8:54:30 time: 0.410944 data_time: 0.047253 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.879770 loss: 0.000656 2022/09/28 00:28:29 - mmengine - INFO - Epoch(train) [72][100/586] lr: 5.000000e-04 eta: 8:54:09 time: 0.378428 data_time: 0.030140 memory: 7071 loss_kpt: 0.000661 acc_pose: 0.851846 loss: 0.000661 2022/09/28 00:28:49 - mmengine - INFO - Epoch(train) [72][150/586] lr: 5.000000e-04 eta: 8:53:49 time: 0.396420 data_time: 0.034861 memory: 7071 loss_kpt: 0.000666 acc_pose: 0.831764 loss: 0.000666 2022/09/28 00:29:09 - mmengine - INFO - Epoch(train) [72][200/586] lr: 5.000000e-04 eta: 8:53:31 time: 0.403286 data_time: 0.047414 memory: 7071 loss_kpt: 0.000677 acc_pose: 0.739317 loss: 0.000677 2022/09/28 00:29:28 - mmengine - INFO - Epoch(train) [72][250/586] lr: 5.000000e-04 eta: 8:53:10 time: 0.382939 data_time: 0.032051 memory: 7071 loss_kpt: 0.000663 acc_pose: 0.886072 loss: 0.000663 2022/09/28 00:29:47 - mmengine - INFO - Epoch(train) [72][300/586] lr: 5.000000e-04 eta: 8:52:50 time: 0.389138 data_time: 0.035836 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.844507 loss: 0.000650 2022/09/28 00:30:07 - mmengine - INFO - Epoch(train) [72][350/586] lr: 5.000000e-04 eta: 8:52:30 time: 0.395252 data_time: 0.034097 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.850829 loss: 0.000657 2022/09/28 00:30:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:30:27 - mmengine - INFO - Epoch(train) [72][400/586] lr: 5.000000e-04 eta: 8:52:10 time: 0.391658 data_time: 0.044327 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.852691 loss: 0.000664 2022/09/28 00:30:46 - mmengine - INFO - Epoch(train) [72][450/586] lr: 5.000000e-04 eta: 8:51:50 time: 0.387630 data_time: 0.032696 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.811158 loss: 0.000636 2022/09/28 00:31:05 - mmengine - INFO - Epoch(train) [72][500/586] lr: 5.000000e-04 eta: 8:51:29 time: 0.378559 data_time: 0.036313 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.834703 loss: 0.000656 2022/09/28 00:31:25 - mmengine - INFO - Epoch(train) [72][550/586] lr: 5.000000e-04 eta: 8:51:09 time: 0.388633 data_time: 0.035803 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.716174 loss: 0.000676 2022/09/28 00:31:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:31:59 - mmengine - INFO - Epoch(train) [73][50/586] lr: 5.000000e-04 eta: 8:50:08 time: 0.395282 data_time: 0.040561 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.839462 loss: 0.000653 2022/09/28 00:32:19 - mmengine - INFO - Epoch(train) [73][100/586] lr: 5.000000e-04 eta: 8:49:47 time: 0.387304 data_time: 0.035410 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.814730 loss: 0.000659 2022/09/28 00:32:38 - mmengine - INFO - Epoch(train) [73][150/586] lr: 5.000000e-04 eta: 8:49:27 time: 0.383984 data_time: 0.033103 memory: 7071 loss_kpt: 0.000670 acc_pose: 0.869663 loss: 0.000670 2022/09/28 00:32:57 - mmengine - INFO - Epoch(train) [73][200/586] lr: 5.000000e-04 eta: 8:49:06 time: 0.385956 data_time: 0.031710 memory: 7071 loss_kpt: 0.000668 acc_pose: 0.826139 loss: 0.000668 2022/09/28 00:33:17 - mmengine - INFO - Epoch(train) [73][250/586] lr: 5.000000e-04 eta: 8:48:47 time: 0.396788 data_time: 0.039161 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.851262 loss: 0.000649 2022/09/28 00:33:36 - mmengine - INFO - Epoch(train) [73][300/586] lr: 5.000000e-04 eta: 8:48:26 time: 0.379428 data_time: 0.032938 memory: 7071 loss_kpt: 0.000637 acc_pose: 0.865998 loss: 0.000637 2022/09/28 00:33:55 - mmengine - INFO - Epoch(train) [73][350/586] lr: 5.000000e-04 eta: 8:48:05 time: 0.380014 data_time: 0.032953 memory: 7071 loss_kpt: 0.000645 acc_pose: 0.813147 loss: 0.000645 2022/09/28 00:34:14 - mmengine - INFO - Epoch(train) [73][400/586] lr: 5.000000e-04 eta: 8:47:44 time: 0.382526 data_time: 0.033032 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.850803 loss: 0.000676 2022/09/28 00:34:34 - mmengine - INFO - Epoch(train) [73][450/586] lr: 5.000000e-04 eta: 8:47:24 time: 0.388555 data_time: 0.056212 memory: 7071 loss_kpt: 0.000673 acc_pose: 0.850612 loss: 0.000673 2022/09/28 00:34:53 - mmengine - INFO - Epoch(train) [73][500/586] lr: 5.000000e-04 eta: 8:47:04 time: 0.389512 data_time: 0.036768 memory: 7071 loss_kpt: 0.000675 acc_pose: 0.706690 loss: 0.000675 2022/09/28 00:35:12 - mmengine - INFO - Epoch(train) [73][550/586] lr: 5.000000e-04 eta: 8:46:44 time: 0.386628 data_time: 0.032690 memory: 7071 loss_kpt: 0.000677 acc_pose: 0.858482 loss: 0.000677 2022/09/28 00:35:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:35:47 - mmengine - INFO - Epoch(train) [74][50/586] lr: 5.000000e-04 eta: 8:45:45 time: 0.412116 data_time: 0.052649 memory: 7071 loss_kpt: 0.000671 acc_pose: 0.871550 loss: 0.000671 2022/09/28 00:36:07 - mmengine - INFO - Epoch(train) [74][100/586] lr: 5.000000e-04 eta: 8:45:25 time: 0.386494 data_time: 0.037871 memory: 7071 loss_kpt: 0.000668 acc_pose: 0.796923 loss: 0.000668 2022/09/28 00:36:27 - mmengine - INFO - Epoch(train) [74][150/586] lr: 5.000000e-04 eta: 8:45:06 time: 0.397714 data_time: 0.035552 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.805976 loss: 0.000650 2022/09/28 00:36:46 - mmengine - INFO - Epoch(train) [74][200/586] lr: 5.000000e-04 eta: 8:44:45 time: 0.384896 data_time: 0.031908 memory: 7071 loss_kpt: 0.000665 acc_pose: 0.845095 loss: 0.000665 2022/09/28 00:36:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:37:07 - mmengine - INFO - Epoch(train) [74][250/586] lr: 5.000000e-04 eta: 8:44:28 time: 0.418945 data_time: 0.034888 memory: 7071 loss_kpt: 0.000644 acc_pose: 0.837390 loss: 0.000644 2022/09/28 00:37:25 - mmengine - INFO - Epoch(train) [74][300/586] lr: 5.000000e-04 eta: 8:44:06 time: 0.372105 data_time: 0.030414 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.803977 loss: 0.000647 2022/09/28 00:37:45 - mmengine - INFO - Epoch(train) [74][350/586] lr: 5.000000e-04 eta: 8:43:46 time: 0.382322 data_time: 0.037960 memory: 7071 loss_kpt: 0.000661 acc_pose: 0.830083 loss: 0.000661 2022/09/28 00:38:05 - mmengine - INFO - Epoch(train) [74][400/586] lr: 5.000000e-04 eta: 8:43:28 time: 0.408451 data_time: 0.033534 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.788797 loss: 0.000641 2022/09/28 00:38:25 - mmengine - INFO - Epoch(train) [74][450/586] lr: 5.000000e-04 eta: 8:43:08 time: 0.394289 data_time: 0.030517 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.723709 loss: 0.000650 2022/09/28 00:38:44 - mmengine - INFO - Epoch(train) [74][500/586] lr: 5.000000e-04 eta: 8:42:48 time: 0.387761 data_time: 0.030876 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.757411 loss: 0.000657 2022/09/28 00:39:05 - mmengine - INFO - Epoch(train) [74][550/586] lr: 5.000000e-04 eta: 8:42:30 time: 0.409691 data_time: 0.045861 memory: 7071 loss_kpt: 0.000666 acc_pose: 0.811307 loss: 0.000666 2022/09/28 00:39:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:39:41 - mmengine - INFO - Epoch(train) [75][50/586] lr: 5.000000e-04 eta: 8:41:33 time: 0.425029 data_time: 0.035716 memory: 7071 loss_kpt: 0.000639 acc_pose: 0.778751 loss: 0.000639 2022/09/28 00:40:00 - mmengine - INFO - Epoch(train) [75][100/586] lr: 5.000000e-04 eta: 8:41:13 time: 0.396445 data_time: 0.028994 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.816498 loss: 0.000648 2022/09/28 00:40:21 - mmengine - INFO - Epoch(train) [75][150/586] lr: 5.000000e-04 eta: 8:40:55 time: 0.406558 data_time: 0.035271 memory: 7071 loss_kpt: 0.000679 acc_pose: 0.820847 loss: 0.000679 2022/09/28 00:40:41 - mmengine - INFO - Epoch(train) [75][200/586] lr: 5.000000e-04 eta: 8:40:36 time: 0.400365 data_time: 0.032965 memory: 7071 loss_kpt: 0.000660 acc_pose: 0.761164 loss: 0.000660 2022/09/28 00:41:00 - mmengine - INFO - Epoch(train) [75][250/586] lr: 5.000000e-04 eta: 8:40:17 time: 0.393456 data_time: 0.042540 memory: 7071 loss_kpt: 0.000674 acc_pose: 0.856351 loss: 0.000674 2022/09/28 00:41:21 - mmengine - INFO - Epoch(train) [75][300/586] lr: 5.000000e-04 eta: 8:39:58 time: 0.403796 data_time: 0.032608 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.772737 loss: 0.000656 2022/09/28 00:41:40 - mmengine - INFO - Epoch(train) [75][350/586] lr: 5.000000e-04 eta: 8:39:38 time: 0.386432 data_time: 0.034069 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.874516 loss: 0.000640 2022/09/28 00:41:59 - mmengine - INFO - Epoch(train) [75][400/586] lr: 5.000000e-04 eta: 8:39:18 time: 0.391482 data_time: 0.033715 memory: 7071 loss_kpt: 0.000673 acc_pose: 0.832219 loss: 0.000673 2022/09/28 00:42:19 - mmengine - INFO - Epoch(train) [75][450/586] lr: 5.000000e-04 eta: 8:38:57 time: 0.380217 data_time: 0.035590 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.812856 loss: 0.000641 2022/09/28 00:42:38 - mmengine - INFO - Epoch(train) [75][500/586] lr: 5.000000e-04 eta: 8:38:38 time: 0.394619 data_time: 0.034917 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.821937 loss: 0.000650 2022/09/28 00:42:57 - mmengine - INFO - Epoch(train) [75][550/586] lr: 5.000000e-04 eta: 8:38:17 time: 0.379356 data_time: 0.043136 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.828932 loss: 0.000650 2022/09/28 00:43:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:43:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:43:32 - mmengine - INFO - Epoch(train) [76][50/586] lr: 5.000000e-04 eta: 8:37:19 time: 0.407171 data_time: 0.046731 memory: 7071 loss_kpt: 0.000643 acc_pose: 0.872367 loss: 0.000643 2022/09/28 00:43:52 - mmengine - INFO - Epoch(train) [76][100/586] lr: 5.000000e-04 eta: 8:37:01 time: 0.408750 data_time: 0.048167 memory: 7071 loss_kpt: 0.000663 acc_pose: 0.834366 loss: 0.000663 2022/09/28 00:44:12 - mmengine - INFO - Epoch(train) [76][150/586] lr: 5.000000e-04 eta: 8:36:41 time: 0.392561 data_time: 0.033438 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.802351 loss: 0.000650 2022/09/28 00:44:31 - mmengine - INFO - Epoch(train) [76][200/586] lr: 5.000000e-04 eta: 8:36:20 time: 0.377857 data_time: 0.036809 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.873312 loss: 0.000647 2022/09/28 00:44:51 - mmengine - INFO - Epoch(train) [76][250/586] lr: 5.000000e-04 eta: 8:36:01 time: 0.394474 data_time: 0.035879 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.822319 loss: 0.000657 2022/09/28 00:45:10 - mmengine - INFO - Epoch(train) [76][300/586] lr: 5.000000e-04 eta: 8:35:40 time: 0.386546 data_time: 0.038189 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.784225 loss: 0.000664 2022/09/28 00:45:29 - mmengine - INFO - Epoch(train) [76][350/586] lr: 5.000000e-04 eta: 8:35:20 time: 0.379396 data_time: 0.033365 memory: 7071 loss_kpt: 0.000661 acc_pose: 0.836133 loss: 0.000661 2022/09/28 00:45:49 - mmengine - INFO - Epoch(train) [76][400/586] lr: 5.000000e-04 eta: 8:35:00 time: 0.396344 data_time: 0.033907 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.778466 loss: 0.000658 2022/09/28 00:46:08 - mmengine - INFO - Epoch(train) [76][450/586] lr: 5.000000e-04 eta: 8:34:40 time: 0.391240 data_time: 0.034336 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.806458 loss: 0.000664 2022/09/28 00:46:28 - mmengine - INFO - Epoch(train) [76][500/586] lr: 5.000000e-04 eta: 8:34:21 time: 0.394725 data_time: 0.035488 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.829469 loss: 0.000642 2022/09/28 00:46:48 - mmengine - INFO - Epoch(train) [76][550/586] lr: 5.000000e-04 eta: 8:34:01 time: 0.388200 data_time: 0.034123 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.857098 loss: 0.000650 2022/09/28 00:47:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:47:23 - mmengine - INFO - Epoch(train) [77][50/586] lr: 5.000000e-04 eta: 8:33:04 time: 0.412873 data_time: 0.042892 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.789602 loss: 0.000630 2022/09/28 00:47:42 - mmengine - INFO - Epoch(train) [77][100/586] lr: 5.000000e-04 eta: 8:32:44 time: 0.387343 data_time: 0.036916 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.801052 loss: 0.000656 2022/09/28 00:48:02 - mmengine - INFO - Epoch(train) [77][150/586] lr: 5.000000e-04 eta: 8:32:24 time: 0.388374 data_time: 0.031113 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.841228 loss: 0.000651 2022/09/28 00:48:21 - mmengine - INFO - Epoch(train) [77][200/586] lr: 5.000000e-04 eta: 8:32:05 time: 0.395561 data_time: 0.051115 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.789128 loss: 0.000657 2022/09/28 00:48:41 - mmengine - INFO - Epoch(train) [77][250/586] lr: 5.000000e-04 eta: 8:31:45 time: 0.384937 data_time: 0.033592 memory: 7071 loss_kpt: 0.000643 acc_pose: 0.869200 loss: 0.000643 2022/09/28 00:49:00 - mmengine - INFO - Epoch(train) [77][300/586] lr: 5.000000e-04 eta: 8:31:25 time: 0.387179 data_time: 0.040612 memory: 7071 loss_kpt: 0.000660 acc_pose: 0.809727 loss: 0.000660 2022/09/28 00:49:19 - mmengine - INFO - Epoch(train) [77][350/586] lr: 5.000000e-04 eta: 8:31:04 time: 0.382299 data_time: 0.032130 memory: 7071 loss_kpt: 0.000670 acc_pose: 0.788060 loss: 0.000670 2022/09/28 00:49:39 - mmengine - INFO - Epoch(train) [77][400/586] lr: 5.000000e-04 eta: 8:30:44 time: 0.390062 data_time: 0.029090 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.824342 loss: 0.000658 2022/09/28 00:49:58 - mmengine - INFO - Epoch(train) [77][450/586] lr: 5.000000e-04 eta: 8:30:24 time: 0.390286 data_time: 0.031644 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.877948 loss: 0.000656 2022/09/28 00:50:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:50:18 - mmengine - INFO - Epoch(train) [77][500/586] lr: 5.000000e-04 eta: 8:30:06 time: 0.399831 data_time: 0.036833 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.754015 loss: 0.000651 2022/09/28 00:50:37 - mmengine - INFO - Epoch(train) [77][550/586] lr: 5.000000e-04 eta: 8:29:45 time: 0.385188 data_time: 0.042953 memory: 7071 loss_kpt: 0.000666 acc_pose: 0.864384 loss: 0.000666 2022/09/28 00:50:51 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:51:12 - mmengine - INFO - Epoch(train) [78][50/586] lr: 5.000000e-04 eta: 8:28:49 time: 0.407734 data_time: 0.044292 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.814009 loss: 0.000658 2022/09/28 00:51:31 - mmengine - INFO - Epoch(train) [78][100/586] lr: 5.000000e-04 eta: 8:28:28 time: 0.386418 data_time: 0.034574 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.912201 loss: 0.000648 2022/09/28 00:51:50 - mmengine - INFO - Epoch(train) [78][150/586] lr: 5.000000e-04 eta: 8:28:08 time: 0.376299 data_time: 0.034892 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.787955 loss: 0.000659 2022/09/28 00:52:09 - mmengine - INFO - Epoch(train) [78][200/586] lr: 5.000000e-04 eta: 8:27:47 time: 0.382101 data_time: 0.040303 memory: 7071 loss_kpt: 0.000652 acc_pose: 0.859668 loss: 0.000652 2022/09/28 00:52:29 - mmengine - INFO - Epoch(train) [78][250/586] lr: 5.000000e-04 eta: 8:27:27 time: 0.392119 data_time: 0.032544 memory: 7071 loss_kpt: 0.000660 acc_pose: 0.773670 loss: 0.000660 2022/09/28 00:52:48 - mmengine - INFO - Epoch(train) [78][300/586] lr: 5.000000e-04 eta: 8:27:07 time: 0.386833 data_time: 0.043573 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.833051 loss: 0.000657 2022/09/28 00:53:07 - mmengine - INFO - Epoch(train) [78][350/586] lr: 5.000000e-04 eta: 8:26:47 time: 0.381857 data_time: 0.029412 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.781295 loss: 0.000659 2022/09/28 00:53:27 - mmengine - INFO - Epoch(train) [78][400/586] lr: 5.000000e-04 eta: 8:26:28 time: 0.399068 data_time: 0.031045 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.831442 loss: 0.000653 2022/09/28 00:53:47 - mmengine - INFO - Epoch(train) [78][450/586] lr: 5.000000e-04 eta: 8:26:08 time: 0.392524 data_time: 0.041195 memory: 7071 loss_kpt: 0.000665 acc_pose: 0.750339 loss: 0.000665 2022/09/28 00:54:06 - mmengine - INFO - Epoch(train) [78][500/586] lr: 5.000000e-04 eta: 8:25:49 time: 0.388755 data_time: 0.035174 memory: 7071 loss_kpt: 0.000644 acc_pose: 0.844732 loss: 0.000644 2022/09/28 00:54:26 - mmengine - INFO - Epoch(train) [78][550/586] lr: 5.000000e-04 eta: 8:25:30 time: 0.400451 data_time: 0.033480 memory: 7071 loss_kpt: 0.000668 acc_pose: 0.836915 loss: 0.000668 2022/09/28 00:54:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:55:00 - mmengine - INFO - Epoch(train) [79][50/586] lr: 5.000000e-04 eta: 8:24:33 time: 0.398530 data_time: 0.038507 memory: 7071 loss_kpt: 0.000644 acc_pose: 0.786643 loss: 0.000644 2022/09/28 00:55:20 - mmengine - INFO - Epoch(train) [79][100/586] lr: 5.000000e-04 eta: 8:24:14 time: 0.399645 data_time: 0.044130 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.861900 loss: 0.000657 2022/09/28 00:55:40 - mmengine - INFO - Epoch(train) [79][150/586] lr: 5.000000e-04 eta: 8:23:54 time: 0.392666 data_time: 0.035000 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.800604 loss: 0.000658 2022/09/28 00:55:59 - mmengine - INFO - Epoch(train) [79][200/586] lr: 5.000000e-04 eta: 8:23:35 time: 0.390903 data_time: 0.034691 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.837353 loss: 0.000664 2022/09/28 00:56:19 - mmengine - INFO - Epoch(train) [79][250/586] lr: 5.000000e-04 eta: 8:23:15 time: 0.391900 data_time: 0.031480 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.826932 loss: 0.000664 2022/09/28 00:56:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:56:38 - mmengine - INFO - Epoch(train) [79][300/586] lr: 5.000000e-04 eta: 8:22:55 time: 0.387429 data_time: 0.034809 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.831527 loss: 0.000651 2022/09/28 00:56:58 - mmengine - INFO - Epoch(train) [79][350/586] lr: 5.000000e-04 eta: 8:22:36 time: 0.390296 data_time: 0.040632 memory: 7071 loss_kpt: 0.000660 acc_pose: 0.846076 loss: 0.000660 2022/09/28 00:57:18 - mmengine - INFO - Epoch(train) [79][400/586] lr: 5.000000e-04 eta: 8:22:17 time: 0.401174 data_time: 0.034594 memory: 7071 loss_kpt: 0.000645 acc_pose: 0.750112 loss: 0.000645 2022/09/28 00:57:37 - mmengine - INFO - Epoch(train) [79][450/586] lr: 5.000000e-04 eta: 8:21:57 time: 0.385776 data_time: 0.042970 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.838860 loss: 0.000656 2022/09/28 00:57:56 - mmengine - INFO - Epoch(train) [79][500/586] lr: 5.000000e-04 eta: 8:21:37 time: 0.388272 data_time: 0.045344 memory: 7071 loss_kpt: 0.000672 acc_pose: 0.852044 loss: 0.000672 2022/09/28 00:58:16 - mmengine - INFO - Epoch(train) [79][550/586] lr: 5.000000e-04 eta: 8:21:17 time: 0.388593 data_time: 0.031256 memory: 7071 loss_kpt: 0.000626 acc_pose: 0.799856 loss: 0.000626 2022/09/28 00:58:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 00:58:49 - mmengine - INFO - Epoch(train) [80][50/586] lr: 5.000000e-04 eta: 8:20:20 time: 0.395637 data_time: 0.040985 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.836718 loss: 0.000631 2022/09/28 00:59:09 - mmengine - INFO - Epoch(train) [80][100/586] lr: 5.000000e-04 eta: 8:20:01 time: 0.391952 data_time: 0.033949 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.815926 loss: 0.000659 2022/09/28 00:59:28 - mmengine - INFO - Epoch(train) [80][150/586] lr: 5.000000e-04 eta: 8:19:41 time: 0.385677 data_time: 0.038154 memory: 7071 loss_kpt: 0.000645 acc_pose: 0.848359 loss: 0.000645 2022/09/28 00:59:48 - mmengine - INFO - Epoch(train) [80][200/586] lr: 5.000000e-04 eta: 8:19:21 time: 0.389921 data_time: 0.033162 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.839884 loss: 0.000653 2022/09/28 01:00:09 - mmengine - INFO - Epoch(train) [80][250/586] lr: 5.000000e-04 eta: 8:19:03 time: 0.413588 data_time: 0.034560 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.803332 loss: 0.000659 2022/09/28 01:00:28 - mmengine - INFO - Epoch(train) [80][300/586] lr: 5.000000e-04 eta: 8:18:43 time: 0.387681 data_time: 0.036800 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.866669 loss: 0.000649 2022/09/28 01:00:48 - mmengine - INFO - Epoch(train) [80][350/586] lr: 5.000000e-04 eta: 8:18:24 time: 0.391387 data_time: 0.035043 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.826696 loss: 0.000647 2022/09/28 01:01:06 - mmengine - INFO - Epoch(train) [80][400/586] lr: 5.000000e-04 eta: 8:18:03 time: 0.378924 data_time: 0.032513 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.797330 loss: 0.000641 2022/09/28 01:01:26 - mmengine - INFO - Epoch(train) [80][450/586] lr: 5.000000e-04 eta: 8:17:43 time: 0.384737 data_time: 0.032504 memory: 7071 loss_kpt: 0.000645 acc_pose: 0.866892 loss: 0.000645 2022/09/28 01:01:45 - mmengine - INFO - Epoch(train) [80][500/586] lr: 5.000000e-04 eta: 8:17:24 time: 0.390226 data_time: 0.045559 memory: 7071 loss_kpt: 0.000675 acc_pose: 0.723293 loss: 0.000675 2022/09/28 01:02:05 - mmengine - INFO - Epoch(train) [80][550/586] lr: 5.000000e-04 eta: 8:17:04 time: 0.387003 data_time: 0.035336 memory: 7071 loss_kpt: 0.000652 acc_pose: 0.886353 loss: 0.000652 2022/09/28 01:02:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:02:18 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/09/28 01:02:44 - mmengine - INFO - Epoch(val) [80][50/407] eta: 0:01:58 time: 0.331864 data_time: 0.131940 memory: 7071 2022/09/28 01:03:00 - mmengine - INFO - Epoch(val) [80][100/407] eta: 0:01:34 time: 0.308078 data_time: 0.106303 memory: 1674 2022/09/28 01:03:16 - mmengine - INFO - Epoch(val) [80][150/407] eta: 0:01:25 time: 0.333794 data_time: 0.122853 memory: 1674 2022/09/28 01:03:32 - mmengine - INFO - Epoch(val) [80][200/407] eta: 0:01:03 time: 0.306685 data_time: 0.108197 memory: 1674 2022/09/28 01:03:48 - mmengine - INFO - Epoch(val) [80][250/407] eta: 0:00:50 time: 0.321696 data_time: 0.137150 memory: 1674 2022/09/28 01:04:04 - mmengine - INFO - Epoch(val) [80][300/407] eta: 0:00:34 time: 0.319272 data_time: 0.116221 memory: 1674 2022/09/28 01:04:21 - mmengine - INFO - Epoch(val) [80][350/407] eta: 0:00:19 time: 0.339716 data_time: 0.127848 memory: 1674 2022/09/28 01:04:31 - mmengine - INFO - Epoch(val) [80][400/407] eta: 0:00:01 time: 0.208931 data_time: 0.082291 memory: 1674 2022/09/28 01:05:04 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 01:05:17 - mmengine - INFO - Epoch(val) [80][407/407] coco/AP: 0.709607 coco/AP .5: 0.893439 coco/AP .75: 0.789812 coco/AP (M): 0.676015 coco/AP (L): 0.774021 coco/AR: 0.767097 coco/AR .5: 0.933407 coco/AR .75: 0.839421 coco/AR (M): 0.727042 coco/AR (L): 0.825381 2022/09/28 01:05:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_70.pth is removed 2022/09/28 01:05:20 - mmengine - INFO - The best checkpoint with 0.7096 coco/AP at 80 epoch is saved to best_coco/AP_epoch_80.pth. 2022/09/28 01:05:40 - mmengine - INFO - Epoch(train) [81][50/586] lr: 5.000000e-04 eta: 8:16:08 time: 0.396340 data_time: 0.049876 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.822585 loss: 0.000642 2022/09/28 01:05:59 - mmengine - INFO - Epoch(train) [81][100/586] lr: 5.000000e-04 eta: 8:15:48 time: 0.394923 data_time: 0.031630 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.809741 loss: 0.000635 2022/09/28 01:06:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:06:19 - mmengine - INFO - Epoch(train) [81][150/586] lr: 5.000000e-04 eta: 8:15:28 time: 0.387213 data_time: 0.031393 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.873070 loss: 0.000634 2022/09/28 01:06:39 - mmengine - INFO - Epoch(train) [81][200/586] lr: 5.000000e-04 eta: 8:15:09 time: 0.396240 data_time: 0.032901 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.783590 loss: 0.000635 2022/09/28 01:06:58 - mmengine - INFO - Epoch(train) [81][250/586] lr: 5.000000e-04 eta: 8:14:50 time: 0.395906 data_time: 0.034913 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.846417 loss: 0.000642 2022/09/28 01:07:19 - mmengine - INFO - Epoch(train) [81][300/586] lr: 5.000000e-04 eta: 8:14:31 time: 0.400852 data_time: 0.039547 memory: 7071 loss_kpt: 0.000644 acc_pose: 0.846423 loss: 0.000644 2022/09/28 01:07:38 - mmengine - INFO - Epoch(train) [81][350/586] lr: 5.000000e-04 eta: 8:14:12 time: 0.396209 data_time: 0.036357 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.811260 loss: 0.000642 2022/09/28 01:07:57 - mmengine - INFO - Epoch(train) [81][400/586] lr: 5.000000e-04 eta: 8:13:52 time: 0.382577 data_time: 0.033070 memory: 7071 loss_kpt: 0.000678 acc_pose: 0.760339 loss: 0.000678 2022/09/28 01:08:17 - mmengine - INFO - Epoch(train) [81][450/586] lr: 5.000000e-04 eta: 8:13:32 time: 0.386910 data_time: 0.031397 memory: 7071 loss_kpt: 0.000655 acc_pose: 0.849598 loss: 0.000655 2022/09/28 01:08:37 - mmengine - INFO - Epoch(train) [81][500/586] lr: 5.000000e-04 eta: 8:13:13 time: 0.393740 data_time: 0.031365 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.872626 loss: 0.000640 2022/09/28 01:08:56 - mmengine - INFO - Epoch(train) [81][550/586] lr: 5.000000e-04 eta: 8:12:54 time: 0.398258 data_time: 0.036237 memory: 7071 loss_kpt: 0.000654 acc_pose: 0.832995 loss: 0.000654 2022/09/28 01:09:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:09:32 - mmengine - INFO - Epoch(train) [82][50/586] lr: 5.000000e-04 eta: 8:12:01 time: 0.431045 data_time: 0.047012 memory: 7071 loss_kpt: 0.000643 acc_pose: 0.800785 loss: 0.000643 2022/09/28 01:09:52 - mmengine - INFO - Epoch(train) [82][100/586] lr: 5.000000e-04 eta: 8:11:42 time: 0.396300 data_time: 0.033095 memory: 7071 loss_kpt: 0.000646 acc_pose: 0.728966 loss: 0.000646 2022/09/28 01:10:12 - mmengine - INFO - Epoch(train) [82][150/586] lr: 5.000000e-04 eta: 8:11:22 time: 0.384130 data_time: 0.032172 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.844170 loss: 0.000650 2022/09/28 01:10:33 - mmengine - INFO - Epoch(train) [82][200/586] lr: 5.000000e-04 eta: 8:11:05 time: 0.420958 data_time: 0.040881 memory: 7071 loss_kpt: 0.000667 acc_pose: 0.817411 loss: 0.000667 2022/09/28 01:10:52 - mmengine - INFO - Epoch(train) [82][250/586] lr: 5.000000e-04 eta: 8:10:45 time: 0.389091 data_time: 0.031947 memory: 7071 loss_kpt: 0.000660 acc_pose: 0.835849 loss: 0.000660 2022/09/28 01:11:12 - mmengine - INFO - Epoch(train) [82][300/586] lr: 5.000000e-04 eta: 8:10:26 time: 0.403720 data_time: 0.031273 memory: 7071 loss_kpt: 0.000654 acc_pose: 0.886213 loss: 0.000654 2022/09/28 01:11:32 - mmengine - INFO - Epoch(train) [82][350/586] lr: 5.000000e-04 eta: 8:10:07 time: 0.389716 data_time: 0.031478 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.841796 loss: 0.000641 2022/09/28 01:11:51 - mmengine - INFO - Epoch(train) [82][400/586] lr: 5.000000e-04 eta: 8:09:47 time: 0.382395 data_time: 0.027216 memory: 7071 loss_kpt: 0.000646 acc_pose: 0.867103 loss: 0.000646 2022/09/28 01:12:11 - mmengine - INFO - Epoch(train) [82][450/586] lr: 5.000000e-04 eta: 8:09:28 time: 0.396595 data_time: 0.039952 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.791406 loss: 0.000649 2022/09/28 01:12:30 - mmengine - INFO - Epoch(train) [82][500/586] lr: 5.000000e-04 eta: 8:09:08 time: 0.384507 data_time: 0.033596 memory: 7071 loss_kpt: 0.000669 acc_pose: 0.798393 loss: 0.000669 2022/09/28 01:12:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:12:50 - mmengine - INFO - Epoch(train) [82][550/586] lr: 5.000000e-04 eta: 8:08:49 time: 0.409208 data_time: 0.036195 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.840157 loss: 0.000651 2022/09/28 01:13:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:13:24 - mmengine - INFO - Epoch(train) [83][50/586] lr: 5.000000e-04 eta: 8:07:55 time: 0.402567 data_time: 0.037271 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.816161 loss: 0.000647 2022/09/28 01:13:43 - mmengine - INFO - Epoch(train) [83][100/586] lr: 5.000000e-04 eta: 8:07:35 time: 0.380813 data_time: 0.036417 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.835943 loss: 0.000658 2022/09/28 01:14:02 - mmengine - INFO - Epoch(train) [83][150/586] lr: 5.000000e-04 eta: 8:07:14 time: 0.381639 data_time: 0.034167 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.827813 loss: 0.000648 2022/09/28 01:14:22 - mmengine - INFO - Epoch(train) [83][200/586] lr: 5.000000e-04 eta: 8:06:55 time: 0.397636 data_time: 0.036749 memory: 7071 loss_kpt: 0.000644 acc_pose: 0.800025 loss: 0.000644 2022/09/28 01:14:43 - mmengine - INFO - Epoch(train) [83][250/586] lr: 5.000000e-04 eta: 8:06:37 time: 0.410423 data_time: 0.040440 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.802434 loss: 0.000641 2022/09/28 01:15:02 - mmengine - INFO - Epoch(train) [83][300/586] lr: 5.000000e-04 eta: 8:06:18 time: 0.388196 data_time: 0.039951 memory: 7071 loss_kpt: 0.000637 acc_pose: 0.806414 loss: 0.000637 2022/09/28 01:15:22 - mmengine - INFO - Epoch(train) [83][350/586] lr: 5.000000e-04 eta: 8:05:58 time: 0.388377 data_time: 0.043215 memory: 7071 loss_kpt: 0.000643 acc_pose: 0.856817 loss: 0.000643 2022/09/28 01:15:41 - mmengine - INFO - Epoch(train) [83][400/586] lr: 5.000000e-04 eta: 8:05:39 time: 0.396639 data_time: 0.033962 memory: 7071 loss_kpt: 0.000671 acc_pose: 0.841729 loss: 0.000671 2022/09/28 01:16:01 - mmengine - INFO - Epoch(train) [83][450/586] lr: 5.000000e-04 eta: 8:05:19 time: 0.386400 data_time: 0.031026 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.857569 loss: 0.000648 2022/09/28 01:16:20 - mmengine - INFO - Epoch(train) [83][500/586] lr: 5.000000e-04 eta: 8:04:59 time: 0.387193 data_time: 0.031714 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.797667 loss: 0.000653 2022/09/28 01:16:40 - mmengine - INFO - Epoch(train) [83][550/586] lr: 5.000000e-04 eta: 8:04:41 time: 0.401118 data_time: 0.035171 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.847152 loss: 0.000636 2022/09/28 01:16:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:17:14 - mmengine - INFO - Epoch(train) [84][50/586] lr: 5.000000e-04 eta: 8:03:47 time: 0.409340 data_time: 0.053638 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.855527 loss: 0.000642 2022/09/28 01:17:34 - mmengine - INFO - Epoch(train) [84][100/586] lr: 5.000000e-04 eta: 8:03:27 time: 0.388647 data_time: 0.041588 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.880665 loss: 0.000651 2022/09/28 01:17:54 - mmengine - INFO - Epoch(train) [84][150/586] lr: 5.000000e-04 eta: 8:03:08 time: 0.396835 data_time: 0.034106 memory: 7071 loss_kpt: 0.000658 acc_pose: 0.847887 loss: 0.000658 2022/09/28 01:18:14 - mmengine - INFO - Epoch(train) [84][200/586] lr: 5.000000e-04 eta: 8:02:50 time: 0.406889 data_time: 0.036384 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.830810 loss: 0.000653 2022/09/28 01:18:33 - mmengine - INFO - Epoch(train) [84][250/586] lr: 5.000000e-04 eta: 8:02:30 time: 0.383980 data_time: 0.033814 memory: 7071 loss_kpt: 0.000646 acc_pose: 0.855683 loss: 0.000646 2022/09/28 01:18:53 - mmengine - INFO - Epoch(train) [84][300/586] lr: 5.000000e-04 eta: 8:02:11 time: 0.403079 data_time: 0.039176 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.771284 loss: 0.000651 2022/09/28 01:19:12 - mmengine - INFO - Epoch(train) [84][350/586] lr: 5.000000e-04 eta: 8:01:51 time: 0.376285 data_time: 0.034225 memory: 7071 loss_kpt: 0.000638 acc_pose: 0.848582 loss: 0.000638 2022/09/28 01:19:17 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:19:31 - mmengine - INFO - Epoch(train) [84][400/586] lr: 5.000000e-04 eta: 8:01:31 time: 0.380770 data_time: 0.036589 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.809503 loss: 0.000640 2022/09/28 01:19:50 - mmengine - INFO - Epoch(train) [84][450/586] lr: 5.000000e-04 eta: 8:01:10 time: 0.377343 data_time: 0.031780 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.787936 loss: 0.000647 2022/09/28 01:20:10 - mmengine - INFO - Epoch(train) [84][500/586] lr: 5.000000e-04 eta: 8:00:51 time: 0.394697 data_time: 0.047881 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.880184 loss: 0.000640 2022/09/28 01:20:29 - mmengine - INFO - Epoch(train) [84][550/586] lr: 5.000000e-04 eta: 8:00:31 time: 0.385750 data_time: 0.030775 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.840814 loss: 0.000640 2022/09/28 01:20:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:21:03 - mmengine - INFO - Epoch(train) [85][50/586] lr: 5.000000e-04 eta: 7:59:38 time: 0.404308 data_time: 0.036985 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.826520 loss: 0.000634 2022/09/28 01:21:23 - mmengine - INFO - Epoch(train) [85][100/586] lr: 5.000000e-04 eta: 7:59:18 time: 0.395924 data_time: 0.032167 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.854018 loss: 0.000649 2022/09/28 01:21:43 - mmengine - INFO - Epoch(train) [85][150/586] lr: 5.000000e-04 eta: 7:59:00 time: 0.397419 data_time: 0.036379 memory: 7071 loss_kpt: 0.000639 acc_pose: 0.813969 loss: 0.000639 2022/09/28 01:22:02 - mmengine - INFO - Epoch(train) [85][200/586] lr: 5.000000e-04 eta: 7:58:40 time: 0.394980 data_time: 0.030093 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.798816 loss: 0.000630 2022/09/28 01:22:23 - mmengine - INFO - Epoch(train) [85][250/586] lr: 5.000000e-04 eta: 7:58:22 time: 0.410175 data_time: 0.036700 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.854595 loss: 0.000636 2022/09/28 01:22:42 - mmengine - INFO - Epoch(train) [85][300/586] lr: 5.000000e-04 eta: 7:58:03 time: 0.386489 data_time: 0.033534 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.753634 loss: 0.000613 2022/09/28 01:23:02 - mmengine - INFO - Epoch(train) [85][350/586] lr: 5.000000e-04 eta: 7:57:43 time: 0.386823 data_time: 0.034016 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.772703 loss: 0.000659 2022/09/28 01:23:21 - mmengine - INFO - Epoch(train) [85][400/586] lr: 5.000000e-04 eta: 7:57:24 time: 0.396713 data_time: 0.033473 memory: 7071 loss_kpt: 0.000660 acc_pose: 0.746360 loss: 0.000660 2022/09/28 01:23:42 - mmengine - INFO - Epoch(train) [85][450/586] lr: 5.000000e-04 eta: 7:57:06 time: 0.408503 data_time: 0.037432 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.749117 loss: 0.000619 2022/09/28 01:24:01 - mmengine - INFO - Epoch(train) [85][500/586] lr: 5.000000e-04 eta: 7:56:46 time: 0.388427 data_time: 0.031938 memory: 7071 loss_kpt: 0.000645 acc_pose: 0.877244 loss: 0.000645 2022/09/28 01:24:21 - mmengine - INFO - Epoch(train) [85][550/586] lr: 5.000000e-04 eta: 7:56:26 time: 0.385435 data_time: 0.029825 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.831208 loss: 0.000648 2022/09/28 01:24:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:24:55 - mmengine - INFO - Epoch(train) [86][50/586] lr: 5.000000e-04 eta: 7:55:34 time: 0.412043 data_time: 0.057200 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.807124 loss: 0.000653 2022/09/28 01:25:14 - mmengine - INFO - Epoch(train) [86][100/586] lr: 5.000000e-04 eta: 7:55:13 time: 0.378092 data_time: 0.039231 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.818169 loss: 0.000659 2022/09/28 01:25:33 - mmengine - INFO - Epoch(train) [86][150/586] lr: 5.000000e-04 eta: 7:54:54 time: 0.393780 data_time: 0.034415 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.844556 loss: 0.000657 2022/09/28 01:25:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:25:53 - mmengine - INFO - Epoch(train) [86][200/586] lr: 5.000000e-04 eta: 7:54:35 time: 0.392656 data_time: 0.045672 memory: 7071 loss_kpt: 0.000659 acc_pose: 0.820037 loss: 0.000659 2022/09/28 01:26:12 - mmengine - INFO - Epoch(train) [86][250/586] lr: 5.000000e-04 eta: 7:54:15 time: 0.381114 data_time: 0.028816 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.830698 loss: 0.000647 2022/09/28 01:26:32 - mmengine - INFO - Epoch(train) [86][300/586] lr: 5.000000e-04 eta: 7:53:55 time: 0.387051 data_time: 0.045889 memory: 7071 loss_kpt: 0.000654 acc_pose: 0.863384 loss: 0.000654 2022/09/28 01:26:51 - mmengine - INFO - Epoch(train) [86][350/586] lr: 5.000000e-04 eta: 7:53:35 time: 0.387526 data_time: 0.037194 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.818266 loss: 0.000648 2022/09/28 01:27:11 - mmengine - INFO - Epoch(train) [86][400/586] lr: 5.000000e-04 eta: 7:53:17 time: 0.398824 data_time: 0.033646 memory: 7071 loss_kpt: 0.000644 acc_pose: 0.814736 loss: 0.000644 2022/09/28 01:27:30 - mmengine - INFO - Epoch(train) [86][450/586] lr: 5.000000e-04 eta: 7:52:57 time: 0.388330 data_time: 0.037096 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.810264 loss: 0.000657 2022/09/28 01:27:50 - mmengine - INFO - Epoch(train) [86][500/586] lr: 5.000000e-04 eta: 7:52:37 time: 0.386626 data_time: 0.034793 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.812775 loss: 0.000664 2022/09/28 01:28:11 - mmengine - INFO - Epoch(train) [86][550/586] lr: 5.000000e-04 eta: 7:52:20 time: 0.419696 data_time: 0.036589 memory: 7071 loss_kpt: 0.000652 acc_pose: 0.889419 loss: 0.000652 2022/09/28 01:28:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:28:45 - mmengine - INFO - Epoch(train) [87][50/586] lr: 5.000000e-04 eta: 7:51:27 time: 0.398948 data_time: 0.040426 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.767292 loss: 0.000640 2022/09/28 01:29:04 - mmengine - INFO - Epoch(train) [87][100/586] lr: 5.000000e-04 eta: 7:51:07 time: 0.388539 data_time: 0.034461 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.842985 loss: 0.000641 2022/09/28 01:29:23 - mmengine - INFO - Epoch(train) [87][150/586] lr: 5.000000e-04 eta: 7:50:47 time: 0.378041 data_time: 0.028147 memory: 7071 loss_kpt: 0.000639 acc_pose: 0.856357 loss: 0.000639 2022/09/28 01:29:42 - mmengine - INFO - Epoch(train) [87][200/586] lr: 5.000000e-04 eta: 7:50:27 time: 0.383035 data_time: 0.033347 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.856342 loss: 0.000656 2022/09/28 01:30:03 - mmengine - INFO - Epoch(train) [87][250/586] lr: 5.000000e-04 eta: 7:50:09 time: 0.404426 data_time: 0.042538 memory: 7071 loss_kpt: 0.000654 acc_pose: 0.716158 loss: 0.000654 2022/09/28 01:30:22 - mmengine - INFO - Epoch(train) [87][300/586] lr: 5.000000e-04 eta: 7:49:49 time: 0.384146 data_time: 0.031882 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.793650 loss: 0.000651 2022/09/28 01:30:42 - mmengine - INFO - Epoch(train) [87][350/586] lr: 5.000000e-04 eta: 7:49:30 time: 0.397562 data_time: 0.037991 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.841862 loss: 0.000624 2022/09/28 01:31:02 - mmengine - INFO - Epoch(train) [87][400/586] lr: 5.000000e-04 eta: 7:49:11 time: 0.397274 data_time: 0.039537 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.859007 loss: 0.000649 2022/09/28 01:31:21 - mmengine - INFO - Epoch(train) [87][450/586] lr: 5.000000e-04 eta: 7:48:51 time: 0.385097 data_time: 0.035506 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.848017 loss: 0.000651 2022/09/28 01:31:41 - mmengine - INFO - Epoch(train) [87][500/586] lr: 5.000000e-04 eta: 7:48:33 time: 0.402876 data_time: 0.033229 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.739377 loss: 0.000653 2022/09/28 01:32:00 - mmengine - INFO - Epoch(train) [87][550/586] lr: 5.000000e-04 eta: 7:48:12 time: 0.380461 data_time: 0.035680 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.849234 loss: 0.000619 2022/09/28 01:32:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:32:22 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:32:34 - mmengine - INFO - Epoch(train) [88][50/586] lr: 5.000000e-04 eta: 7:47:21 time: 0.411990 data_time: 0.042438 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.816843 loss: 0.000653 2022/09/28 01:32:54 - mmengine - INFO - Epoch(train) [88][100/586] lr: 5.000000e-04 eta: 7:47:02 time: 0.393118 data_time: 0.032646 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.873822 loss: 0.000641 2022/09/28 01:33:14 - mmengine - INFO - Epoch(train) [88][150/586] lr: 5.000000e-04 eta: 7:46:43 time: 0.396825 data_time: 0.033924 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.826301 loss: 0.000640 2022/09/28 01:33:33 - mmengine - INFO - Epoch(train) [88][200/586] lr: 5.000000e-04 eta: 7:46:23 time: 0.387949 data_time: 0.032371 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.891821 loss: 0.000649 2022/09/28 01:33:53 - mmengine - INFO - Epoch(train) [88][250/586] lr: 5.000000e-04 eta: 7:46:04 time: 0.391943 data_time: 0.031431 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.842441 loss: 0.000641 2022/09/28 01:34:13 - mmengine - INFO - Epoch(train) [88][300/586] lr: 5.000000e-04 eta: 7:45:45 time: 0.399640 data_time: 0.034767 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.840860 loss: 0.000633 2022/09/28 01:34:33 - mmengine - INFO - Epoch(train) [88][350/586] lr: 5.000000e-04 eta: 7:45:26 time: 0.393413 data_time: 0.030787 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.824062 loss: 0.000649 2022/09/28 01:34:52 - mmengine - INFO - Epoch(train) [88][400/586] lr: 5.000000e-04 eta: 7:45:06 time: 0.390294 data_time: 0.050022 memory: 7071 loss_kpt: 0.000632 acc_pose: 0.807559 loss: 0.000632 2022/09/28 01:35:12 - mmengine - INFO - Epoch(train) [88][450/586] lr: 5.000000e-04 eta: 7:44:48 time: 0.402167 data_time: 0.038997 memory: 7071 loss_kpt: 0.000671 acc_pose: 0.849733 loss: 0.000671 2022/09/28 01:35:31 - mmengine - INFO - Epoch(train) [88][500/586] lr: 5.000000e-04 eta: 7:44:28 time: 0.377451 data_time: 0.030729 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.799686 loss: 0.000656 2022/09/28 01:35:51 - mmengine - INFO - Epoch(train) [88][550/586] lr: 5.000000e-04 eta: 7:44:08 time: 0.394004 data_time: 0.041747 memory: 7071 loss_kpt: 0.000661 acc_pose: 0.770334 loss: 0.000661 2022/09/28 01:36:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:36:25 - mmengine - INFO - Epoch(train) [89][50/586] lr: 5.000000e-04 eta: 7:43:17 time: 0.405997 data_time: 0.044741 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.817935 loss: 0.000647 2022/09/28 01:36:45 - mmengine - INFO - Epoch(train) [89][100/586] lr: 5.000000e-04 eta: 7:42:57 time: 0.392296 data_time: 0.039448 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.809074 loss: 0.000635 2022/09/28 01:37:04 - mmengine - INFO - Epoch(train) [89][150/586] lr: 5.000000e-04 eta: 7:42:38 time: 0.385710 data_time: 0.031771 memory: 7071 loss_kpt: 0.000665 acc_pose: 0.853091 loss: 0.000665 2022/09/28 01:37:24 - mmengine - INFO - Epoch(train) [89][200/586] lr: 5.000000e-04 eta: 7:42:18 time: 0.387613 data_time: 0.041724 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.875568 loss: 0.000622 2022/09/28 01:37:43 - mmengine - INFO - Epoch(train) [89][250/586] lr: 5.000000e-04 eta: 7:41:59 time: 0.388251 data_time: 0.029436 memory: 7071 loss_kpt: 0.000662 acc_pose: 0.802574 loss: 0.000662 2022/09/28 01:38:02 - mmengine - INFO - Epoch(train) [89][300/586] lr: 5.000000e-04 eta: 7:41:39 time: 0.383753 data_time: 0.035640 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.866077 loss: 0.000641 2022/09/28 01:38:22 - mmengine - INFO - Epoch(train) [89][350/586] lr: 5.000000e-04 eta: 7:41:20 time: 0.395686 data_time: 0.032622 memory: 7071 loss_kpt: 0.000664 acc_pose: 0.740767 loss: 0.000664 2022/09/28 01:38:42 - mmengine - INFO - Epoch(train) [89][400/586] lr: 5.000000e-04 eta: 7:41:01 time: 0.392969 data_time: 0.031620 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.849606 loss: 0.000648 2022/09/28 01:38:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:39:01 - mmengine - INFO - Epoch(train) [89][450/586] lr: 5.000000e-04 eta: 7:40:41 time: 0.390073 data_time: 0.033511 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.817059 loss: 0.000651 2022/09/28 01:39:21 - mmengine - INFO - Epoch(train) [89][500/586] lr: 5.000000e-04 eta: 7:40:22 time: 0.388629 data_time: 0.034906 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.835163 loss: 0.000622 2022/09/28 01:39:40 - mmengine - INFO - Epoch(train) [89][550/586] lr: 5.000000e-04 eta: 7:40:03 time: 0.396007 data_time: 0.034827 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.842542 loss: 0.000642 2022/09/28 01:39:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:40:14 - mmengine - INFO - Epoch(train) [90][50/586] lr: 5.000000e-04 eta: 7:39:11 time: 0.398001 data_time: 0.044047 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.850236 loss: 0.000653 2022/09/28 01:40:33 - mmengine - INFO - Epoch(train) [90][100/586] lr: 5.000000e-04 eta: 7:38:51 time: 0.374629 data_time: 0.033934 memory: 7071 loss_kpt: 0.000676 acc_pose: 0.817037 loss: 0.000676 2022/09/28 01:40:53 - mmengine - INFO - Epoch(train) [90][150/586] lr: 5.000000e-04 eta: 7:38:32 time: 0.401397 data_time: 0.036210 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.858928 loss: 0.000636 2022/09/28 01:41:12 - mmengine - INFO - Epoch(train) [90][200/586] lr: 5.000000e-04 eta: 7:38:12 time: 0.385809 data_time: 0.033109 memory: 7071 loss_kpt: 0.000637 acc_pose: 0.814739 loss: 0.000637 2022/09/28 01:41:31 - mmengine - INFO - Epoch(train) [90][250/586] lr: 5.000000e-04 eta: 7:37:52 time: 0.381952 data_time: 0.033823 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.854594 loss: 0.000640 2022/09/28 01:41:51 - mmengine - INFO - Epoch(train) [90][300/586] lr: 5.000000e-04 eta: 7:37:33 time: 0.391070 data_time: 0.038125 memory: 7071 loss_kpt: 0.000656 acc_pose: 0.760040 loss: 0.000656 2022/09/28 01:42:10 - mmengine - INFO - Epoch(train) [90][350/586] lr: 5.000000e-04 eta: 7:37:14 time: 0.388538 data_time: 0.038243 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.893370 loss: 0.000648 2022/09/28 01:42:30 - mmengine - INFO - Epoch(train) [90][400/586] lr: 5.000000e-04 eta: 7:36:55 time: 0.400026 data_time: 0.031011 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.831621 loss: 0.000657 2022/09/28 01:42:51 - mmengine - INFO - Epoch(train) [90][450/586] lr: 5.000000e-04 eta: 7:36:37 time: 0.412788 data_time: 0.033925 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.809585 loss: 0.000642 2022/09/28 01:43:10 - mmengine - INFO - Epoch(train) [90][500/586] lr: 5.000000e-04 eta: 7:36:18 time: 0.393735 data_time: 0.035586 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.780017 loss: 0.000628 2022/09/28 01:43:30 - mmengine - INFO - Epoch(train) [90][550/586] lr: 5.000000e-04 eta: 7:35:59 time: 0.396801 data_time: 0.032192 memory: 7071 loss_kpt: 0.000637 acc_pose: 0.813003 loss: 0.000637 2022/09/28 01:43:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:43:44 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/09/28 01:44:11 - mmengine - INFO - Epoch(val) [90][50/407] eta: 0:02:03 time: 0.344913 data_time: 0.140023 memory: 7071 2022/09/28 01:44:29 - mmengine - INFO - Epoch(val) [90][100/407] eta: 0:01:46 time: 0.347416 data_time: 0.153792 memory: 1674 2022/09/28 01:44:45 - mmengine - INFO - Epoch(val) [90][150/407] eta: 0:01:25 time: 0.330923 data_time: 0.138168 memory: 1674 2022/09/28 01:45:02 - mmengine - INFO - Epoch(val) [90][200/407] eta: 0:01:11 time: 0.344618 data_time: 0.147701 memory: 1674 2022/09/28 01:45:18 - mmengine - INFO - Epoch(val) [90][250/407] eta: 0:00:49 time: 0.313281 data_time: 0.121545 memory: 1674 2022/09/28 01:45:36 - mmengine - INFO - Epoch(val) [90][300/407] eta: 0:00:37 time: 0.349686 data_time: 0.156777 memory: 1674 2022/09/28 01:45:52 - mmengine - INFO - Epoch(val) [90][350/407] eta: 0:00:18 time: 0.319156 data_time: 0.106934 memory: 1674 2022/09/28 01:46:00 - mmengine - INFO - Epoch(val) [90][400/407] eta: 0:00:01 time: 0.170559 data_time: 0.051084 memory: 1674 2022/09/28 01:46:32 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 01:46:45 - mmengine - INFO - Epoch(val) [90][407/407] coco/AP: 0.712427 coco/AP .5: 0.894717 coco/AP .75: 0.794549 coco/AP (M): 0.679648 coco/AP (L): 0.775503 coco/AR: 0.769081 coco/AR .5: 0.933722 coco/AR .75: 0.840838 coco/AR (M): 0.729172 coco/AR (L): 0.827165 2022/09/28 01:46:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_80.pth is removed 2022/09/28 01:46:49 - mmengine - INFO - The best checkpoint with 0.7124 coco/AP at 90 epoch is saved to best_coco/AP_epoch_90.pth. 2022/09/28 01:47:08 - mmengine - INFO - Epoch(train) [91][50/586] lr: 5.000000e-04 eta: 7:35:07 time: 0.394037 data_time: 0.044512 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.871330 loss: 0.000640 2022/09/28 01:47:28 - mmengine - INFO - Epoch(train) [91][100/586] lr: 5.000000e-04 eta: 7:34:48 time: 0.392649 data_time: 0.042243 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.832243 loss: 0.000630 2022/09/28 01:47:48 - mmengine - INFO - Epoch(train) [91][150/586] lr: 5.000000e-04 eta: 7:34:30 time: 0.403804 data_time: 0.046319 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.823228 loss: 0.000647 2022/09/28 01:48:08 - mmengine - INFO - Epoch(train) [91][200/586] lr: 5.000000e-04 eta: 7:34:11 time: 0.392695 data_time: 0.044445 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.868577 loss: 0.000624 2022/09/28 01:48:27 - mmengine - INFO - Epoch(train) [91][250/586] lr: 5.000000e-04 eta: 7:33:51 time: 0.389186 data_time: 0.031460 memory: 7071 loss_kpt: 0.000646 acc_pose: 0.816587 loss: 0.000646 2022/09/28 01:48:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:48:47 - mmengine - INFO - Epoch(train) [91][300/586] lr: 5.000000e-04 eta: 7:33:32 time: 0.393279 data_time: 0.036569 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.806419 loss: 0.000651 2022/09/28 01:49:07 - mmengine - INFO - Epoch(train) [91][350/586] lr: 5.000000e-04 eta: 7:33:13 time: 0.395591 data_time: 0.034285 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.834564 loss: 0.000616 2022/09/28 01:49:27 - mmengine - INFO - Epoch(train) [91][400/586] lr: 5.000000e-04 eta: 7:32:54 time: 0.397485 data_time: 0.030272 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.853546 loss: 0.000642 2022/09/28 01:49:46 - mmengine - INFO - Epoch(train) [91][450/586] lr: 5.000000e-04 eta: 7:32:35 time: 0.386676 data_time: 0.039582 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.774168 loss: 0.000631 2022/09/28 01:50:06 - mmengine - INFO - Epoch(train) [91][500/586] lr: 5.000000e-04 eta: 7:32:15 time: 0.388238 data_time: 0.035141 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.866901 loss: 0.000615 2022/09/28 01:50:25 - mmengine - INFO - Epoch(train) [91][550/586] lr: 5.000000e-04 eta: 7:31:56 time: 0.391249 data_time: 0.036159 memory: 7071 loss_kpt: 0.000651 acc_pose: 0.775167 loss: 0.000651 2022/09/28 01:50:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:51:00 - mmengine - INFO - Epoch(train) [92][50/586] lr: 5.000000e-04 eta: 7:31:07 time: 0.422932 data_time: 0.042868 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.775780 loss: 0.000635 2022/09/28 01:51:20 - mmengine - INFO - Epoch(train) [92][100/586] lr: 5.000000e-04 eta: 7:30:48 time: 0.394874 data_time: 0.030088 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.860487 loss: 0.000640 2022/09/28 01:51:39 - mmengine - INFO - Epoch(train) [92][150/586] lr: 5.000000e-04 eta: 7:30:28 time: 0.390970 data_time: 0.030644 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.781893 loss: 0.000624 2022/09/28 01:51:58 - mmengine - INFO - Epoch(train) [92][200/586] lr: 5.000000e-04 eta: 7:30:09 time: 0.383125 data_time: 0.033336 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.832155 loss: 0.000616 2022/09/28 01:52:18 - mmengine - INFO - Epoch(train) [92][250/586] lr: 5.000000e-04 eta: 7:29:50 time: 0.395909 data_time: 0.038483 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.896535 loss: 0.000635 2022/09/28 01:52:38 - mmengine - INFO - Epoch(train) [92][300/586] lr: 5.000000e-04 eta: 7:29:31 time: 0.400624 data_time: 0.040868 memory: 7071 loss_kpt: 0.000643 acc_pose: 0.828153 loss: 0.000643 2022/09/28 01:52:58 - mmengine - INFO - Epoch(train) [92][350/586] lr: 5.000000e-04 eta: 7:29:12 time: 0.396838 data_time: 0.036734 memory: 7071 loss_kpt: 0.000643 acc_pose: 0.827355 loss: 0.000643 2022/09/28 01:53:17 - mmengine - INFO - Epoch(train) [92][400/586] lr: 5.000000e-04 eta: 7:28:52 time: 0.383259 data_time: 0.042024 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.838888 loss: 0.000647 2022/09/28 01:53:37 - mmengine - INFO - Epoch(train) [92][450/586] lr: 5.000000e-04 eta: 7:28:33 time: 0.385970 data_time: 0.029162 memory: 7071 loss_kpt: 0.000629 acc_pose: 0.797021 loss: 0.000629 2022/09/28 01:53:56 - mmengine - INFO - Epoch(train) [92][500/586] lr: 5.000000e-04 eta: 7:28:13 time: 0.388198 data_time: 0.034639 memory: 7071 loss_kpt: 0.000632 acc_pose: 0.804866 loss: 0.000632 2022/09/28 01:54:15 - mmengine - INFO - Epoch(train) [92][550/586] lr: 5.000000e-04 eta: 7:27:54 time: 0.383930 data_time: 0.032584 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.831821 loss: 0.000614 2022/09/28 01:54:29 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:54:49 - mmengine - INFO - Epoch(train) [93][50/586] lr: 5.000000e-04 eta: 7:27:03 time: 0.394877 data_time: 0.045295 memory: 7071 loss_kpt: 0.000645 acc_pose: 0.835572 loss: 0.000645 2022/09/28 01:55:04 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:55:08 - mmengine - INFO - Epoch(train) [93][100/586] lr: 5.000000e-04 eta: 7:26:43 time: 0.384307 data_time: 0.039702 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.880882 loss: 0.000635 2022/09/28 01:55:28 - mmengine - INFO - Epoch(train) [93][150/586] lr: 5.000000e-04 eta: 7:26:24 time: 0.390395 data_time: 0.046310 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.769444 loss: 0.000650 2022/09/28 01:55:48 - mmengine - INFO - Epoch(train) [93][200/586] lr: 5.000000e-04 eta: 7:26:05 time: 0.398268 data_time: 0.039372 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.866513 loss: 0.000640 2022/09/28 01:56:07 - mmengine - INFO - Epoch(train) [93][250/586] lr: 5.000000e-04 eta: 7:25:46 time: 0.387143 data_time: 0.035698 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.842455 loss: 0.000635 2022/09/28 01:56:26 - mmengine - INFO - Epoch(train) [93][300/586] lr: 5.000000e-04 eta: 7:25:26 time: 0.387841 data_time: 0.033088 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.744676 loss: 0.000648 2022/09/28 01:56:46 - mmengine - INFO - Epoch(train) [93][350/586] lr: 5.000000e-04 eta: 7:25:06 time: 0.383498 data_time: 0.038763 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.863335 loss: 0.000634 2022/09/28 01:57:05 - mmengine - INFO - Epoch(train) [93][400/586] lr: 5.000000e-04 eta: 7:24:47 time: 0.385146 data_time: 0.034281 memory: 7071 loss_kpt: 0.000653 acc_pose: 0.854712 loss: 0.000653 2022/09/28 01:57:24 - mmengine - INFO - Epoch(train) [93][450/586] lr: 5.000000e-04 eta: 7:24:27 time: 0.378601 data_time: 0.029995 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.796858 loss: 0.000636 2022/09/28 01:57:44 - mmengine - INFO - Epoch(train) [93][500/586] lr: 5.000000e-04 eta: 7:24:08 time: 0.401784 data_time: 0.039895 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.848928 loss: 0.000642 2022/09/28 01:58:03 - mmengine - INFO - Epoch(train) [93][550/586] lr: 5.000000e-04 eta: 7:23:49 time: 0.386789 data_time: 0.038880 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.846884 loss: 0.000614 2022/09/28 01:58:17 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 01:58:38 - mmengine - INFO - Epoch(train) [94][50/586] lr: 5.000000e-04 eta: 7:22:59 time: 0.410456 data_time: 0.048292 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.798791 loss: 0.000630 2022/09/28 01:58:58 - mmengine - INFO - Epoch(train) [94][100/586] lr: 5.000000e-04 eta: 7:22:40 time: 0.395576 data_time: 0.030552 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.844117 loss: 0.000604 2022/09/28 01:59:17 - mmengine - INFO - Epoch(train) [94][150/586] lr: 5.000000e-04 eta: 7:22:21 time: 0.385375 data_time: 0.031398 memory: 7071 loss_kpt: 0.000639 acc_pose: 0.816629 loss: 0.000639 2022/09/28 01:59:36 - mmengine - INFO - Epoch(train) [94][200/586] lr: 5.000000e-04 eta: 7:22:01 time: 0.388893 data_time: 0.030689 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.775552 loss: 0.000622 2022/09/28 01:59:56 - mmengine - INFO - Epoch(train) [94][250/586] lr: 5.000000e-04 eta: 7:21:42 time: 0.382271 data_time: 0.044950 memory: 7071 loss_kpt: 0.000638 acc_pose: 0.805981 loss: 0.000638 2022/09/28 02:00:19 - mmengine - INFO - Epoch(train) [94][300/586] lr: 5.000000e-04 eta: 7:21:27 time: 0.468921 data_time: 0.035344 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.782555 loss: 0.000642 2022/09/28 02:00:38 - mmengine - INFO - Epoch(train) [94][350/586] lr: 5.000000e-04 eta: 7:21:07 time: 0.378666 data_time: 0.032675 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.848094 loss: 0.000647 2022/09/28 02:00:58 - mmengine - INFO - Epoch(train) [94][400/586] lr: 5.000000e-04 eta: 7:20:49 time: 0.402692 data_time: 0.033857 memory: 7071 loss_kpt: 0.000637 acc_pose: 0.735380 loss: 0.000637 2022/09/28 02:01:18 - mmengine - INFO - Epoch(train) [94][450/586] lr: 5.000000e-04 eta: 7:20:30 time: 0.391101 data_time: 0.032054 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.801853 loss: 0.000633 2022/09/28 02:01:37 - mmengine - INFO - Epoch(train) [94][500/586] lr: 5.000000e-04 eta: 7:20:10 time: 0.390601 data_time: 0.034709 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.918223 loss: 0.000616 2022/09/28 02:01:38 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:01:56 - mmengine - INFO - Epoch(train) [94][550/586] lr: 5.000000e-04 eta: 7:19:51 time: 0.383908 data_time: 0.037746 memory: 7071 loss_kpt: 0.000644 acc_pose: 0.821205 loss: 0.000644 2022/09/28 02:02:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:02:30 - mmengine - INFO - Epoch(train) [95][50/586] lr: 5.000000e-04 eta: 7:19:01 time: 0.399796 data_time: 0.040434 memory: 7071 loss_kpt: 0.000632 acc_pose: 0.826896 loss: 0.000632 2022/09/28 02:02:49 - mmengine - INFO - Epoch(train) [95][100/586] lr: 5.000000e-04 eta: 7:18:42 time: 0.395556 data_time: 0.052280 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.858279 loss: 0.000612 2022/09/28 02:03:09 - mmengine - INFO - Epoch(train) [95][150/586] lr: 5.000000e-04 eta: 7:18:22 time: 0.381468 data_time: 0.036891 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.795838 loss: 0.000630 2022/09/28 02:03:28 - mmengine - INFO - Epoch(train) [95][200/586] lr: 5.000000e-04 eta: 7:18:03 time: 0.393052 data_time: 0.035382 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.914501 loss: 0.000622 2022/09/28 02:03:47 - mmengine - INFO - Epoch(train) [95][250/586] lr: 5.000000e-04 eta: 7:17:43 time: 0.381339 data_time: 0.034001 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.812412 loss: 0.000647 2022/09/28 02:04:07 - mmengine - INFO - Epoch(train) [95][300/586] lr: 5.000000e-04 eta: 7:17:24 time: 0.389585 data_time: 0.035940 memory: 7071 loss_kpt: 0.000641 acc_pose: 0.728245 loss: 0.000641 2022/09/28 02:04:26 - mmengine - INFO - Epoch(train) [95][350/586] lr: 5.000000e-04 eta: 7:17:05 time: 0.386973 data_time: 0.041098 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.811590 loss: 0.000657 2022/09/28 02:04:45 - mmengine - INFO - Epoch(train) [95][400/586] lr: 5.000000e-04 eta: 7:16:45 time: 0.384604 data_time: 0.035960 memory: 7071 loss_kpt: 0.000646 acc_pose: 0.880411 loss: 0.000646 2022/09/28 02:05:05 - mmengine - INFO - Epoch(train) [95][450/586] lr: 5.000000e-04 eta: 7:16:26 time: 0.397755 data_time: 0.042321 memory: 7071 loss_kpt: 0.000638 acc_pose: 0.858043 loss: 0.000638 2022/09/28 02:05:24 - mmengine - INFO - Epoch(train) [95][500/586] lr: 5.000000e-04 eta: 7:16:06 time: 0.377612 data_time: 0.031544 memory: 7071 loss_kpt: 0.000625 acc_pose: 0.812735 loss: 0.000625 2022/09/28 02:05:43 - mmengine - INFO - Epoch(train) [95][550/586] lr: 5.000000e-04 eta: 7:15:47 time: 0.384608 data_time: 0.033272 memory: 7071 loss_kpt: 0.000620 acc_pose: 0.808813 loss: 0.000620 2022/09/28 02:05:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:06:18 - mmengine - INFO - Epoch(train) [96][50/586] lr: 5.000000e-04 eta: 7:14:57 time: 0.396129 data_time: 0.041839 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.849435 loss: 0.000650 2022/09/28 02:06:37 - mmengine - INFO - Epoch(train) [96][100/586] lr: 5.000000e-04 eta: 7:14:38 time: 0.390556 data_time: 0.040735 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.809849 loss: 0.000640 2022/09/28 02:06:56 - mmengine - INFO - Epoch(train) [96][150/586] lr: 5.000000e-04 eta: 7:14:18 time: 0.384543 data_time: 0.043488 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.808472 loss: 0.000624 2022/09/28 02:07:15 - mmengine - INFO - Epoch(train) [96][200/586] lr: 5.000000e-04 eta: 7:13:58 time: 0.379437 data_time: 0.031131 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.841371 loss: 0.000633 2022/09/28 02:07:35 - mmengine - INFO - Epoch(train) [96][250/586] lr: 5.000000e-04 eta: 7:13:39 time: 0.385992 data_time: 0.030204 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.825568 loss: 0.000615 2022/09/28 02:07:54 - mmengine - INFO - Epoch(train) [96][300/586] lr: 5.000000e-04 eta: 7:13:20 time: 0.395141 data_time: 0.043466 memory: 7071 loss_kpt: 0.000632 acc_pose: 0.879565 loss: 0.000632 2022/09/28 02:08:06 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:08:14 - mmengine - INFO - Epoch(train) [96][350/586] lr: 5.000000e-04 eta: 7:13:01 time: 0.391700 data_time: 0.034616 memory: 7071 loss_kpt: 0.000639 acc_pose: 0.839041 loss: 0.000639 2022/09/28 02:08:33 - mmengine - INFO - Epoch(train) [96][400/586] lr: 5.000000e-04 eta: 7:12:41 time: 0.388526 data_time: 0.036945 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.818062 loss: 0.000636 2022/09/28 02:08:52 - mmengine - INFO - Epoch(train) [96][450/586] lr: 5.000000e-04 eta: 7:12:22 time: 0.378651 data_time: 0.041246 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.796951 loss: 0.000636 2022/09/28 02:09:12 - mmengine - INFO - Epoch(train) [96][500/586] lr: 5.000000e-04 eta: 7:12:03 time: 0.393994 data_time: 0.039776 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.819496 loss: 0.000642 2022/09/28 02:09:31 - mmengine - INFO - Epoch(train) [96][550/586] lr: 5.000000e-04 eta: 7:11:43 time: 0.377141 data_time: 0.031197 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.854874 loss: 0.000634 2022/09/28 02:09:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:10:06 - mmengine - INFO - Epoch(train) [97][50/586] lr: 5.000000e-04 eta: 7:10:54 time: 0.414358 data_time: 0.049257 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.815662 loss: 0.000624 2022/09/28 02:10:26 - mmengine - INFO - Epoch(train) [97][100/586] lr: 5.000000e-04 eta: 7:10:36 time: 0.400210 data_time: 0.036116 memory: 7071 loss_kpt: 0.000625 acc_pose: 0.819781 loss: 0.000625 2022/09/28 02:10:45 - mmengine - INFO - Epoch(train) [97][150/586] lr: 5.000000e-04 eta: 7:10:16 time: 0.389334 data_time: 0.028839 memory: 7071 loss_kpt: 0.000632 acc_pose: 0.826416 loss: 0.000632 2022/09/28 02:11:04 - mmengine - INFO - Epoch(train) [97][200/586] lr: 5.000000e-04 eta: 7:09:57 time: 0.382575 data_time: 0.029617 memory: 7071 loss_kpt: 0.000632 acc_pose: 0.763093 loss: 0.000632 2022/09/28 02:11:24 - mmengine - INFO - Epoch(train) [97][250/586] lr: 5.000000e-04 eta: 7:09:38 time: 0.397460 data_time: 0.032502 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.744409 loss: 0.000633 2022/09/28 02:11:44 - mmengine - INFO - Epoch(train) [97][300/586] lr: 5.000000e-04 eta: 7:09:19 time: 0.388487 data_time: 0.047595 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.829114 loss: 0.000648 2022/09/28 02:12:02 - mmengine - INFO - Epoch(train) [97][350/586] lr: 5.000000e-04 eta: 7:08:59 time: 0.377955 data_time: 0.029486 memory: 7071 loss_kpt: 0.000657 acc_pose: 0.814231 loss: 0.000657 2022/09/28 02:12:22 - mmengine - INFO - Epoch(train) [97][400/586] lr: 5.000000e-04 eta: 7:08:40 time: 0.399515 data_time: 0.041347 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.834715 loss: 0.000631 2022/09/28 02:12:42 - mmengine - INFO - Epoch(train) [97][450/586] lr: 5.000000e-04 eta: 7:08:21 time: 0.386197 data_time: 0.038041 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.797336 loss: 0.000624 2022/09/28 02:13:01 - mmengine - INFO - Epoch(train) [97][500/586] lr: 5.000000e-04 eta: 7:08:02 time: 0.392599 data_time: 0.034445 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.818146 loss: 0.000648 2022/09/28 02:13:20 - mmengine - INFO - Epoch(train) [97][550/586] lr: 5.000000e-04 eta: 7:07:42 time: 0.382269 data_time: 0.031897 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.867168 loss: 0.000633 2022/09/28 02:13:34 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:13:54 - mmengine - INFO - Epoch(train) [98][50/586] lr: 5.000000e-04 eta: 7:06:53 time: 0.402233 data_time: 0.041581 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.828720 loss: 0.000640 2022/09/28 02:14:13 - mmengine - INFO - Epoch(train) [98][100/586] lr: 5.000000e-04 eta: 7:06:34 time: 0.386186 data_time: 0.034805 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.848351 loss: 0.000647 2022/09/28 02:14:33 - mmengine - INFO - Epoch(train) [98][150/586] lr: 5.000000e-04 eta: 7:06:14 time: 0.386384 data_time: 0.035987 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.815725 loss: 0.000633 2022/09/28 02:14:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:14:52 - mmengine - INFO - Epoch(train) [98][200/586] lr: 5.000000e-04 eta: 7:05:55 time: 0.381315 data_time: 0.041391 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.742472 loss: 0.000631 2022/09/28 02:15:11 - mmengine - INFO - Epoch(train) [98][250/586] lr: 5.000000e-04 eta: 7:05:35 time: 0.380924 data_time: 0.034298 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.858664 loss: 0.000622 2022/09/28 02:15:31 - mmengine - INFO - Epoch(train) [98][300/586] lr: 5.000000e-04 eta: 7:05:17 time: 0.401338 data_time: 0.037073 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.892244 loss: 0.000649 2022/09/28 02:15:51 - mmengine - INFO - Epoch(train) [98][350/586] lr: 5.000000e-04 eta: 7:04:58 time: 0.404693 data_time: 0.038403 memory: 7071 loss_kpt: 0.000638 acc_pose: 0.842318 loss: 0.000638 2022/09/28 02:16:10 - mmengine - INFO - Epoch(train) [98][400/586] lr: 5.000000e-04 eta: 7:04:38 time: 0.380415 data_time: 0.034911 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.886018 loss: 0.000619 2022/09/28 02:16:30 - mmengine - INFO - Epoch(train) [98][450/586] lr: 5.000000e-04 eta: 7:04:20 time: 0.399907 data_time: 0.036123 memory: 7071 loss_kpt: 0.000645 acc_pose: 0.817610 loss: 0.000645 2022/09/28 02:16:50 - mmengine - INFO - Epoch(train) [98][500/586] lr: 5.000000e-04 eta: 7:04:00 time: 0.387200 data_time: 0.035398 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.814070 loss: 0.000631 2022/09/28 02:17:09 - mmengine - INFO - Epoch(train) [98][550/586] lr: 5.000000e-04 eta: 7:03:42 time: 0.394504 data_time: 0.028344 memory: 7071 loss_kpt: 0.000629 acc_pose: 0.827968 loss: 0.000629 2022/09/28 02:17:23 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:17:43 - mmengine - INFO - Epoch(train) [99][50/586] lr: 5.000000e-04 eta: 7:02:53 time: 0.405071 data_time: 0.046062 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.874880 loss: 0.000636 2022/09/28 02:18:03 - mmengine - INFO - Epoch(train) [99][100/586] lr: 5.000000e-04 eta: 7:02:34 time: 0.388675 data_time: 0.036754 memory: 7071 loss_kpt: 0.000626 acc_pose: 0.846798 loss: 0.000626 2022/09/28 02:18:22 - mmengine - INFO - Epoch(train) [99][150/586] lr: 5.000000e-04 eta: 7:02:15 time: 0.386659 data_time: 0.035998 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.845342 loss: 0.000615 2022/09/28 02:18:42 - mmengine - INFO - Epoch(train) [99][200/586] lr: 5.000000e-04 eta: 7:01:56 time: 0.399568 data_time: 0.041530 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.864166 loss: 0.000602 2022/09/28 02:19:01 - mmengine - INFO - Epoch(train) [99][250/586] lr: 5.000000e-04 eta: 7:01:37 time: 0.383866 data_time: 0.033122 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.827235 loss: 0.000633 2022/09/28 02:19:20 - mmengine - INFO - Epoch(train) [99][300/586] lr: 5.000000e-04 eta: 7:01:17 time: 0.379865 data_time: 0.032722 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.848010 loss: 0.000636 2022/09/28 02:19:39 - mmengine - INFO - Epoch(train) [99][350/586] lr: 5.000000e-04 eta: 7:00:57 time: 0.382260 data_time: 0.038240 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.877852 loss: 0.000622 2022/09/28 02:20:00 - mmengine - INFO - Epoch(train) [99][400/586] lr: 5.000000e-04 eta: 7:00:39 time: 0.407250 data_time: 0.029219 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.775896 loss: 0.000631 2022/09/28 02:20:19 - mmengine - INFO - Epoch(train) [99][450/586] lr: 5.000000e-04 eta: 7:00:20 time: 0.389372 data_time: 0.032439 memory: 7071 loss_kpt: 0.000627 acc_pose: 0.865322 loss: 0.000627 2022/09/28 02:20:39 - mmengine - INFO - Epoch(train) [99][500/586] lr: 5.000000e-04 eta: 7:00:01 time: 0.387047 data_time: 0.029350 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.860271 loss: 0.000628 2022/09/28 02:20:58 - mmengine - INFO - Epoch(train) [99][550/586] lr: 5.000000e-04 eta: 6:59:42 time: 0.392372 data_time: 0.035086 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.831309 loss: 0.000640 2022/09/28 02:21:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:21:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:21:33 - mmengine - INFO - Epoch(train) [100][50/586] lr: 5.000000e-04 eta: 6:58:54 time: 0.410336 data_time: 0.048730 memory: 7071 loss_kpt: 0.000638 acc_pose: 0.755296 loss: 0.000638 2022/09/28 02:21:53 - mmengine - INFO - Epoch(train) [100][100/586] lr: 5.000000e-04 eta: 6:58:36 time: 0.403644 data_time: 0.036485 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.830893 loss: 0.000631 2022/09/28 02:22:13 - mmengine - INFO - Epoch(train) [100][150/586] lr: 5.000000e-04 eta: 6:58:16 time: 0.390456 data_time: 0.032681 memory: 7071 loss_kpt: 0.000629 acc_pose: 0.821674 loss: 0.000629 2022/09/28 02:22:32 - mmengine - INFO - Epoch(train) [100][200/586] lr: 5.000000e-04 eta: 6:57:57 time: 0.385353 data_time: 0.029870 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.770413 loss: 0.000647 2022/09/28 02:22:52 - mmengine - INFO - Epoch(train) [100][250/586] lr: 5.000000e-04 eta: 6:57:38 time: 0.392843 data_time: 0.033978 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.789121 loss: 0.000634 2022/09/28 02:23:11 - mmengine - INFO - Epoch(train) [100][300/586] lr: 5.000000e-04 eta: 6:57:19 time: 0.387950 data_time: 0.038361 memory: 7071 loss_kpt: 0.000627 acc_pose: 0.872100 loss: 0.000627 2022/09/28 02:23:31 - mmengine - INFO - Epoch(train) [100][350/586] lr: 5.000000e-04 eta: 6:57:00 time: 0.393198 data_time: 0.039903 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.789573 loss: 0.000618 2022/09/28 02:23:50 - mmengine - INFO - Epoch(train) [100][400/586] lr: 5.000000e-04 eta: 6:56:40 time: 0.380419 data_time: 0.034102 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.801294 loss: 0.000642 2022/09/28 02:24:09 - mmengine - INFO - Epoch(train) [100][450/586] lr: 5.000000e-04 eta: 6:56:21 time: 0.389373 data_time: 0.037268 memory: 7071 loss_kpt: 0.000649 acc_pose: 0.856812 loss: 0.000649 2022/09/28 02:24:29 - mmengine - INFO - Epoch(train) [100][500/586] lr: 5.000000e-04 eta: 6:56:02 time: 0.393573 data_time: 0.040695 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.837293 loss: 0.000635 2022/09/28 02:24:48 - mmengine - INFO - Epoch(train) [100][550/586] lr: 5.000000e-04 eta: 6:55:43 time: 0.386441 data_time: 0.032504 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.834485 loss: 0.000619 2022/09/28 02:25:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:25:02 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/09/28 02:25:30 - mmengine - INFO - Epoch(val) [100][50/407] eta: 0:02:00 time: 0.337795 data_time: 0.140611 memory: 7071 2022/09/28 02:25:46 - mmengine - INFO - Epoch(val) [100][100/407] eta: 0:01:37 time: 0.317633 data_time: 0.120313 memory: 1674 2022/09/28 02:26:03 - mmengine - INFO - Epoch(val) [100][150/407] eta: 0:01:24 time: 0.330088 data_time: 0.131565 memory: 1674 2022/09/28 02:26:18 - mmengine - INFO - Epoch(val) [100][200/407] eta: 0:01:04 time: 0.313729 data_time: 0.111749 memory: 1674 2022/09/28 02:26:36 - mmengine - INFO - Epoch(val) [100][250/407] eta: 0:00:53 time: 0.343662 data_time: 0.123338 memory: 1674 2022/09/28 02:26:51 - mmengine - INFO - Epoch(val) [100][300/407] eta: 0:00:33 time: 0.314477 data_time: 0.111503 memory: 1674 2022/09/28 02:27:08 - mmengine - INFO - Epoch(val) [100][350/407] eta: 0:00:18 time: 0.328875 data_time: 0.128419 memory: 1674 2022/09/28 02:27:17 - mmengine - INFO - Epoch(val) [100][400/407] eta: 0:00:01 time: 0.182587 data_time: 0.070974 memory: 1674 2022/09/28 02:27:49 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 02:28:02 - mmengine - INFO - Epoch(val) [100][407/407] coco/AP: 0.710463 coco/AP .5: 0.893213 coco/AP .75: 0.790394 coco/AP (M): 0.675615 coco/AP (L): 0.777324 coco/AR: 0.767916 coco/AR .5: 0.931045 coco/AR .75: 0.839736 coco/AR (M): 0.726632 coco/AR (L): 0.827648 2022/09/28 02:28:23 - mmengine - INFO - Epoch(train) [101][50/586] lr: 5.000000e-04 eta: 6:54:57 time: 0.432603 data_time: 0.053132 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.827078 loss: 0.000624 2022/09/28 02:28:43 - mmengine - INFO - Epoch(train) [101][100/586] lr: 5.000000e-04 eta: 6:54:37 time: 0.391302 data_time: 0.032729 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.755131 loss: 0.000630 2022/09/28 02:29:02 - mmengine - INFO - Epoch(train) [101][150/586] lr: 5.000000e-04 eta: 6:54:18 time: 0.381223 data_time: 0.047110 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.840986 loss: 0.000619 2022/09/28 02:29:21 - mmengine - INFO - Epoch(train) [101][200/586] lr: 5.000000e-04 eta: 6:53:58 time: 0.379769 data_time: 0.033853 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.890726 loss: 0.000633 2022/09/28 02:29:41 - mmengine - INFO - Epoch(train) [101][250/586] lr: 5.000000e-04 eta: 6:53:39 time: 0.391617 data_time: 0.034461 memory: 7071 loss_kpt: 0.000637 acc_pose: 0.841797 loss: 0.000637 2022/09/28 02:30:00 - mmengine - INFO - Epoch(train) [101][300/586] lr: 5.000000e-04 eta: 6:53:20 time: 0.386598 data_time: 0.038757 memory: 7071 loss_kpt: 0.000625 acc_pose: 0.887608 loss: 0.000625 2022/09/28 02:30:20 - mmengine - INFO - Epoch(train) [101][350/586] lr: 5.000000e-04 eta: 6:53:01 time: 0.391698 data_time: 0.030773 memory: 7071 loss_kpt: 0.000647 acc_pose: 0.826128 loss: 0.000647 2022/09/28 02:30:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:30:39 - mmengine - INFO - Epoch(train) [101][400/586] lr: 5.000000e-04 eta: 6:52:41 time: 0.379047 data_time: 0.036309 memory: 7071 loss_kpt: 0.000646 acc_pose: 0.846732 loss: 0.000646 2022/09/28 02:30:58 - mmengine - INFO - Epoch(train) [101][450/586] lr: 5.000000e-04 eta: 6:52:22 time: 0.387986 data_time: 0.034311 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.806365 loss: 0.000636 2022/09/28 02:31:17 - mmengine - INFO - Epoch(train) [101][500/586] lr: 5.000000e-04 eta: 6:52:03 time: 0.387834 data_time: 0.031706 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.829185 loss: 0.000634 2022/09/28 02:31:36 - mmengine - INFO - Epoch(train) [101][550/586] lr: 5.000000e-04 eta: 6:51:43 time: 0.378996 data_time: 0.030779 memory: 7071 loss_kpt: 0.000648 acc_pose: 0.739856 loss: 0.000648 2022/09/28 02:31:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:32:11 - mmengine - INFO - Epoch(train) [102][50/586] lr: 5.000000e-04 eta: 6:50:57 time: 0.425741 data_time: 0.055343 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.818696 loss: 0.000605 2022/09/28 02:32:30 - mmengine - INFO - Epoch(train) [102][100/586] lr: 5.000000e-04 eta: 6:50:37 time: 0.378969 data_time: 0.032706 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.778612 loss: 0.000616 2022/09/28 02:32:50 - mmengine - INFO - Epoch(train) [102][150/586] lr: 5.000000e-04 eta: 6:50:18 time: 0.392871 data_time: 0.031914 memory: 7071 loss_kpt: 0.000627 acc_pose: 0.859395 loss: 0.000627 2022/09/28 02:33:09 - mmengine - INFO - Epoch(train) [102][200/586] lr: 5.000000e-04 eta: 6:49:59 time: 0.383926 data_time: 0.035118 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.815460 loss: 0.000615 2022/09/28 02:33:29 - mmengine - INFO - Epoch(train) [102][250/586] lr: 5.000000e-04 eta: 6:49:40 time: 0.403104 data_time: 0.041892 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.837542 loss: 0.000640 2022/09/28 02:33:49 - mmengine - INFO - Epoch(train) [102][300/586] lr: 5.000000e-04 eta: 6:49:21 time: 0.391548 data_time: 0.039326 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.841123 loss: 0.000634 2022/09/28 02:34:08 - mmengine - INFO - Epoch(train) [102][350/586] lr: 5.000000e-04 eta: 6:49:02 time: 0.392622 data_time: 0.041176 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.876254 loss: 0.000631 2022/09/28 02:34:28 - mmengine - INFO - Epoch(train) [102][400/586] lr: 5.000000e-04 eta: 6:48:43 time: 0.387615 data_time: 0.031363 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.863770 loss: 0.000642 2022/09/28 02:34:47 - mmengine - INFO - Epoch(train) [102][450/586] lr: 5.000000e-04 eta: 6:48:24 time: 0.386649 data_time: 0.028972 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.849135 loss: 0.000623 2022/09/28 02:35:06 - mmengine - INFO - Epoch(train) [102][500/586] lr: 5.000000e-04 eta: 6:48:04 time: 0.388350 data_time: 0.029924 memory: 7071 loss_kpt: 0.000626 acc_pose: 0.864443 loss: 0.000626 2022/09/28 02:35:25 - mmengine - INFO - Epoch(train) [102][550/586] lr: 5.000000e-04 eta: 6:47:45 time: 0.379980 data_time: 0.037478 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.820971 loss: 0.000622 2022/09/28 02:35:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:36:06 - mmengine - INFO - Epoch(train) [103][50/586] lr: 5.000000e-04 eta: 6:47:04 time: 0.515777 data_time: 0.078744 memory: 7071 loss_kpt: 0.000638 acc_pose: 0.810731 loss: 0.000638 2022/09/28 02:36:47 - mmengine - INFO - Epoch(train) [103][100/586] lr: 5.000000e-04 eta: 6:47:08 time: 0.830414 data_time: 0.075870 memory: 7071 loss_kpt: 0.000639 acc_pose: 0.898580 loss: 0.000639 2022/09/28 02:38:11 - mmengine - INFO - Epoch(train) [103][150/586] lr: 5.000000e-04 eta: 6:47:57 time: 1.685753 data_time: 0.285868 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.858413 loss: 0.000628 2022/09/28 02:39:18 - mmengine - INFO - Epoch(train) [103][200/586] lr: 5.000000e-04 eta: 6:48:27 time: 1.326756 data_time: 0.213973 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.805735 loss: 0.000624 2022/09/28 02:39:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:39:48 - mmengine - INFO - Epoch(train) [103][250/586] lr: 5.000000e-04 eta: 6:48:19 time: 0.605805 data_time: 0.119736 memory: 7071 loss_kpt: 0.000626 acc_pose: 0.850666 loss: 0.000626 2022/09/28 02:40:21 - mmengine - INFO - Epoch(train) [103][300/586] lr: 5.000000e-04 eta: 6:48:14 time: 0.666041 data_time: 0.045536 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.866893 loss: 0.000610 2022/09/28 02:40:44 - mmengine - INFO - Epoch(train) [103][350/586] lr: 5.000000e-04 eta: 6:47:58 time: 0.453573 data_time: 0.104003 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.864136 loss: 0.000624 2022/09/28 02:41:07 - mmengine - INFO - Epoch(train) [103][400/586] lr: 5.000000e-04 eta: 6:47:42 time: 0.456178 data_time: 0.080563 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.865767 loss: 0.000640 2022/09/28 02:41:29 - mmengine - INFO - Epoch(train) [103][450/586] lr: 5.000000e-04 eta: 6:47:25 time: 0.436523 data_time: 0.047382 memory: 7071 loss_kpt: 0.000638 acc_pose: 0.832303 loss: 0.000638 2022/09/28 02:41:48 - mmengine - INFO - Epoch(train) [103][500/586] lr: 5.000000e-04 eta: 6:47:06 time: 0.391261 data_time: 0.037114 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.858491 loss: 0.000628 2022/09/28 02:42:13 - mmengine - INFO - Epoch(train) [103][550/586] lr: 5.000000e-04 eta: 6:46:52 time: 0.498764 data_time: 0.043086 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.807261 loss: 0.000622 2022/09/28 02:42:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:42:51 - mmengine - INFO - Epoch(train) [104][50/586] lr: 5.000000e-04 eta: 6:46:05 time: 0.415323 data_time: 0.042036 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.746968 loss: 0.000636 2022/09/28 02:43:12 - mmengine - INFO - Epoch(train) [104][100/586] lr: 5.000000e-04 eta: 6:45:47 time: 0.409522 data_time: 0.036692 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.823035 loss: 0.000628 2022/09/28 02:43:31 - mmengine - INFO - Epoch(train) [104][150/586] lr: 5.000000e-04 eta: 6:45:27 time: 0.384856 data_time: 0.035402 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.859865 loss: 0.000615 2022/09/28 02:43:51 - mmengine - INFO - Epoch(train) [104][200/586] lr: 5.000000e-04 eta: 6:45:08 time: 0.390583 data_time: 0.033825 memory: 7071 loss_kpt: 0.000626 acc_pose: 0.880743 loss: 0.000626 2022/09/28 02:44:11 - mmengine - INFO - Epoch(train) [104][250/586] lr: 5.000000e-04 eta: 6:44:50 time: 0.418873 data_time: 0.044338 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.855997 loss: 0.000628 2022/09/28 02:44:31 - mmengine - INFO - Epoch(train) [104][300/586] lr: 5.000000e-04 eta: 6:44:31 time: 0.396891 data_time: 0.032898 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.841741 loss: 0.000631 2022/09/28 02:44:51 - mmengine - INFO - Epoch(train) [104][350/586] lr: 5.000000e-04 eta: 6:44:12 time: 0.396948 data_time: 0.029408 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.793331 loss: 0.000630 2022/09/28 02:45:10 - mmengine - INFO - Epoch(train) [104][400/586] lr: 5.000000e-04 eta: 6:43:52 time: 0.378896 data_time: 0.034065 memory: 7071 loss_kpt: 0.000626 acc_pose: 0.858624 loss: 0.000626 2022/09/28 02:45:30 - mmengine - INFO - Epoch(train) [104][450/586] lr: 5.000000e-04 eta: 6:43:32 time: 0.387256 data_time: 0.036083 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.863485 loss: 0.000634 2022/09/28 02:45:49 - mmengine - INFO - Epoch(train) [104][500/586] lr: 5.000000e-04 eta: 6:43:13 time: 0.388286 data_time: 0.040019 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.869622 loss: 0.000631 2022/09/28 02:46:09 - mmengine - INFO - Epoch(train) [104][550/586] lr: 5.000000e-04 eta: 6:42:54 time: 0.397877 data_time: 0.037182 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.814612 loss: 0.000628 2022/09/28 02:46:23 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:46:44 - mmengine - INFO - Epoch(train) [105][50/586] lr: 5.000000e-04 eta: 6:42:08 time: 0.422233 data_time: 0.040427 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.845209 loss: 0.000624 2022/09/28 02:46:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:47:03 - mmengine - INFO - Epoch(train) [105][100/586] lr: 5.000000e-04 eta: 6:41:48 time: 0.375600 data_time: 0.042533 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.853527 loss: 0.000634 2022/09/28 02:47:23 - mmengine - INFO - Epoch(train) [105][150/586] lr: 5.000000e-04 eta: 6:41:29 time: 0.408655 data_time: 0.042991 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.814317 loss: 0.000615 2022/09/28 02:47:42 - mmengine - INFO - Epoch(train) [105][200/586] lr: 5.000000e-04 eta: 6:41:10 time: 0.383774 data_time: 0.031690 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.833639 loss: 0.000599 2022/09/28 02:48:02 - mmengine - INFO - Epoch(train) [105][250/586] lr: 5.000000e-04 eta: 6:40:50 time: 0.386282 data_time: 0.040894 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.828301 loss: 0.000630 2022/09/28 02:48:22 - mmengine - INFO - Epoch(train) [105][300/586] lr: 5.000000e-04 eta: 6:40:31 time: 0.398121 data_time: 0.036880 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.840319 loss: 0.000613 2022/09/28 02:48:41 - mmengine - INFO - Epoch(train) [105][350/586] lr: 5.000000e-04 eta: 6:40:12 time: 0.394938 data_time: 0.031669 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.891974 loss: 0.000613 2022/09/28 02:49:01 - mmengine - INFO - Epoch(train) [105][400/586] lr: 5.000000e-04 eta: 6:39:52 time: 0.386407 data_time: 0.029765 memory: 7071 loss_kpt: 0.000639 acc_pose: 0.887303 loss: 0.000639 2022/09/28 02:49:21 - mmengine - INFO - Epoch(train) [105][450/586] lr: 5.000000e-04 eta: 6:39:34 time: 0.399715 data_time: 0.036212 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.851536 loss: 0.000612 2022/09/28 02:49:40 - mmengine - INFO - Epoch(train) [105][500/586] lr: 5.000000e-04 eta: 6:39:14 time: 0.393517 data_time: 0.033478 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.841258 loss: 0.000605 2022/09/28 02:49:59 - mmengine - INFO - Epoch(train) [105][550/586] lr: 5.000000e-04 eta: 6:38:55 time: 0.382715 data_time: 0.032100 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.805141 loss: 0.000618 2022/09/28 02:50:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:50:34 - mmengine - INFO - Epoch(train) [106][50/586] lr: 5.000000e-04 eta: 6:38:08 time: 0.397545 data_time: 0.042367 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.899409 loss: 0.000624 2022/09/28 02:50:53 - mmengine - INFO - Epoch(train) [106][100/586] lr: 5.000000e-04 eta: 6:37:48 time: 0.377626 data_time: 0.033242 memory: 7071 loss_kpt: 0.000625 acc_pose: 0.855200 loss: 0.000625 2022/09/28 02:51:13 - mmengine - INFO - Epoch(train) [106][150/586] lr: 5.000000e-04 eta: 6:37:29 time: 0.410398 data_time: 0.053076 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.850464 loss: 0.000615 2022/09/28 02:51:33 - mmengine - INFO - Epoch(train) [106][200/586] lr: 5.000000e-04 eta: 6:37:10 time: 0.395984 data_time: 0.029478 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.848496 loss: 0.000607 2022/09/28 02:51:52 - mmengine - INFO - Epoch(train) [106][250/586] lr: 5.000000e-04 eta: 6:36:50 time: 0.379809 data_time: 0.031869 memory: 7071 loss_kpt: 0.000627 acc_pose: 0.785703 loss: 0.000627 2022/09/28 02:52:12 - mmengine - INFO - Epoch(train) [106][300/586] lr: 5.000000e-04 eta: 6:36:31 time: 0.393531 data_time: 0.039551 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.875814 loss: 0.000631 2022/09/28 02:52:31 - mmengine - INFO - Epoch(train) [106][350/586] lr: 5.000000e-04 eta: 6:36:11 time: 0.379601 data_time: 0.033246 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.836406 loss: 0.000616 2022/09/28 02:52:50 - mmengine - INFO - Epoch(train) [106][400/586] lr: 5.000000e-04 eta: 6:35:52 time: 0.389390 data_time: 0.035017 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.809959 loss: 0.000612 2022/09/28 02:53:09 - mmengine - INFO - Epoch(train) [106][450/586] lr: 5.000000e-04 eta: 6:35:32 time: 0.377677 data_time: 0.031854 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.758739 loss: 0.000624 2022/09/28 02:53:17 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:53:29 - mmengine - INFO - Epoch(train) [106][500/586] lr: 5.000000e-04 eta: 6:35:13 time: 0.394947 data_time: 0.033947 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.858840 loss: 0.000634 2022/09/28 02:53:48 - mmengine - INFO - Epoch(train) [106][550/586] lr: 5.000000e-04 eta: 6:34:53 time: 0.386099 data_time: 0.039799 memory: 7071 loss_kpt: 0.000625 acc_pose: 0.823218 loss: 0.000625 2022/09/28 02:54:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:54:23 - mmengine - INFO - Epoch(train) [107][50/586] lr: 5.000000e-04 eta: 6:34:08 time: 0.415538 data_time: 0.047800 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.817834 loss: 0.000613 2022/09/28 02:54:43 - mmengine - INFO - Epoch(train) [107][100/586] lr: 5.000000e-04 eta: 6:33:48 time: 0.393270 data_time: 0.035142 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.850218 loss: 0.000628 2022/09/28 02:55:02 - mmengine - INFO - Epoch(train) [107][150/586] lr: 5.000000e-04 eta: 6:33:28 time: 0.377153 data_time: 0.031497 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.849519 loss: 0.000614 2022/09/28 02:55:21 - mmengine - INFO - Epoch(train) [107][200/586] lr: 5.000000e-04 eta: 6:33:09 time: 0.386577 data_time: 0.030934 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.833311 loss: 0.000630 2022/09/28 02:55:41 - mmengine - INFO - Epoch(train) [107][250/586] lr: 5.000000e-04 eta: 6:32:50 time: 0.398028 data_time: 0.044067 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.871365 loss: 0.000618 2022/09/28 02:56:01 - mmengine - INFO - Epoch(train) [107][300/586] lr: 5.000000e-04 eta: 6:32:31 time: 0.403982 data_time: 0.034269 memory: 7071 loss_kpt: 0.000646 acc_pose: 0.878433 loss: 0.000646 2022/09/28 02:56:20 - mmengine - INFO - Epoch(train) [107][350/586] lr: 5.000000e-04 eta: 6:32:12 time: 0.386658 data_time: 0.030973 memory: 7071 loss_kpt: 0.000629 acc_pose: 0.897458 loss: 0.000629 2022/09/28 02:56:40 - mmengine - INFO - Epoch(train) [107][400/586] lr: 5.000000e-04 eta: 6:31:53 time: 0.395112 data_time: 0.033230 memory: 7071 loss_kpt: 0.000629 acc_pose: 0.845996 loss: 0.000629 2022/09/28 02:56:59 - mmengine - INFO - Epoch(train) [107][450/586] lr: 5.000000e-04 eta: 6:31:33 time: 0.386921 data_time: 0.031917 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.842058 loss: 0.000616 2022/09/28 02:57:19 - mmengine - INFO - Epoch(train) [107][500/586] lr: 5.000000e-04 eta: 6:31:14 time: 0.392801 data_time: 0.031402 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.819751 loss: 0.000635 2022/09/28 02:57:39 - mmengine - INFO - Epoch(train) [107][550/586] lr: 5.000000e-04 eta: 6:30:55 time: 0.392016 data_time: 0.034904 memory: 7071 loss_kpt: 0.000642 acc_pose: 0.847195 loss: 0.000642 2022/09/28 02:57:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:58:13 - mmengine - INFO - Epoch(train) [108][50/586] lr: 5.000000e-04 eta: 6:30:09 time: 0.412747 data_time: 0.048502 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.874045 loss: 0.000623 2022/09/28 02:58:32 - mmengine - INFO - Epoch(train) [108][100/586] lr: 5.000000e-04 eta: 6:29:50 time: 0.384693 data_time: 0.031953 memory: 7071 loss_kpt: 0.000634 acc_pose: 0.848949 loss: 0.000634 2022/09/28 02:58:52 - mmengine - INFO - Epoch(train) [108][150/586] lr: 5.000000e-04 eta: 6:29:31 time: 0.402558 data_time: 0.033992 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.739176 loss: 0.000607 2022/09/28 02:59:12 - mmengine - INFO - Epoch(train) [108][200/586] lr: 5.000000e-04 eta: 6:29:12 time: 0.391311 data_time: 0.035300 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.751713 loss: 0.000618 2022/09/28 02:59:31 - mmengine - INFO - Epoch(train) [108][250/586] lr: 5.000000e-04 eta: 6:28:52 time: 0.388192 data_time: 0.035975 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.800034 loss: 0.000603 2022/09/28 02:59:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 02:59:51 - mmengine - INFO - Epoch(train) [108][300/586] lr: 5.000000e-04 eta: 6:28:33 time: 0.384510 data_time: 0.036546 memory: 7071 loss_kpt: 0.000627 acc_pose: 0.850595 loss: 0.000627 2022/09/28 03:00:10 - mmengine - INFO - Epoch(train) [108][350/586] lr: 5.000000e-04 eta: 6:28:13 time: 0.394612 data_time: 0.030953 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.781589 loss: 0.000630 2022/09/28 03:00:30 - mmengine - INFO - Epoch(train) [108][400/586] lr: 5.000000e-04 eta: 6:27:54 time: 0.396103 data_time: 0.037035 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.845810 loss: 0.000623 2022/09/28 03:00:50 - mmengine - INFO - Epoch(train) [108][450/586] lr: 5.000000e-04 eta: 6:27:36 time: 0.398908 data_time: 0.046347 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.864434 loss: 0.000640 2022/09/28 03:01:10 - mmengine - INFO - Epoch(train) [108][500/586] lr: 5.000000e-04 eta: 6:27:16 time: 0.391490 data_time: 0.033427 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.878348 loss: 0.000615 2022/09/28 03:01:29 - mmengine - INFO - Epoch(train) [108][550/586] lr: 5.000000e-04 eta: 6:26:56 time: 0.378444 data_time: 0.031268 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.815886 loss: 0.000630 2022/09/28 03:01:42 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:02:03 - mmengine - INFO - Epoch(train) [109][50/586] lr: 5.000000e-04 eta: 6:26:11 time: 0.407258 data_time: 0.039691 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.890185 loss: 0.000609 2022/09/28 03:02:22 - mmengine - INFO - Epoch(train) [109][100/586] lr: 5.000000e-04 eta: 6:25:51 time: 0.380895 data_time: 0.034257 memory: 7071 loss_kpt: 0.000625 acc_pose: 0.883079 loss: 0.000625 2022/09/28 03:02:41 - mmengine - INFO - Epoch(train) [109][150/586] lr: 5.000000e-04 eta: 6:25:31 time: 0.384335 data_time: 0.035141 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.848595 loss: 0.000605 2022/09/28 03:03:00 - mmengine - INFO - Epoch(train) [109][200/586] lr: 5.000000e-04 eta: 6:25:12 time: 0.387859 data_time: 0.035666 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.830249 loss: 0.000618 2022/09/28 03:03:20 - mmengine - INFO - Epoch(train) [109][250/586] lr: 5.000000e-04 eta: 6:24:53 time: 0.398936 data_time: 0.039627 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.870423 loss: 0.000607 2022/09/28 03:03:40 - mmengine - INFO - Epoch(train) [109][300/586] lr: 5.000000e-04 eta: 6:24:34 time: 0.390540 data_time: 0.038296 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.785646 loss: 0.000628 2022/09/28 03:03:59 - mmengine - INFO - Epoch(train) [109][350/586] lr: 5.000000e-04 eta: 6:24:14 time: 0.382682 data_time: 0.033548 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.811322 loss: 0.000635 2022/09/28 03:04:19 - mmengine - INFO - Epoch(train) [109][400/586] lr: 5.000000e-04 eta: 6:23:56 time: 0.405528 data_time: 0.036461 memory: 7071 loss_kpt: 0.000650 acc_pose: 0.764096 loss: 0.000650 2022/09/28 03:04:38 - mmengine - INFO - Epoch(train) [109][450/586] lr: 5.000000e-04 eta: 6:23:36 time: 0.381396 data_time: 0.038313 memory: 7071 loss_kpt: 0.000626 acc_pose: 0.784755 loss: 0.000626 2022/09/28 03:04:58 - mmengine - INFO - Epoch(train) [109][500/586] lr: 5.000000e-04 eta: 6:23:17 time: 0.389541 data_time: 0.051755 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.758574 loss: 0.000616 2022/09/28 03:05:17 - mmengine - INFO - Epoch(train) [109][550/586] lr: 5.000000e-04 eta: 6:22:57 time: 0.389395 data_time: 0.037018 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.871170 loss: 0.000610 2022/09/28 03:05:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:05:51 - mmengine - INFO - Epoch(train) [110][50/586] lr: 5.000000e-04 eta: 6:22:11 time: 0.393018 data_time: 0.041841 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.812881 loss: 0.000612 2022/09/28 03:06:10 - mmengine - INFO - Epoch(train) [110][100/586] lr: 5.000000e-04 eta: 6:21:52 time: 0.385224 data_time: 0.042090 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.837327 loss: 0.000609 2022/09/28 03:06:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:06:30 - mmengine - INFO - Epoch(train) [110][150/586] lr: 5.000000e-04 eta: 6:21:33 time: 0.392939 data_time: 0.037809 memory: 7071 loss_kpt: 0.000608 acc_pose: 0.781292 loss: 0.000608 2022/09/28 03:06:49 - mmengine - INFO - Epoch(train) [110][200/586] lr: 5.000000e-04 eta: 6:21:13 time: 0.380379 data_time: 0.034205 memory: 7071 loss_kpt: 0.000620 acc_pose: 0.878794 loss: 0.000620 2022/09/28 03:07:08 - mmengine - INFO - Epoch(train) [110][250/586] lr: 5.000000e-04 eta: 6:20:53 time: 0.384971 data_time: 0.032616 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.867892 loss: 0.000616 2022/09/28 03:07:28 - mmengine - INFO - Epoch(train) [110][300/586] lr: 5.000000e-04 eta: 6:20:35 time: 0.408174 data_time: 0.036418 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.888672 loss: 0.000600 2022/09/28 03:07:48 - mmengine - INFO - Epoch(train) [110][350/586] lr: 5.000000e-04 eta: 6:20:16 time: 0.396086 data_time: 0.030639 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.807543 loss: 0.000633 2022/09/28 03:08:08 - mmengine - INFO - Epoch(train) [110][400/586] lr: 5.000000e-04 eta: 6:19:57 time: 0.392553 data_time: 0.041143 memory: 7071 loss_kpt: 0.000629 acc_pose: 0.840432 loss: 0.000629 2022/09/28 03:08:27 - mmengine - INFO - Epoch(train) [110][450/586] lr: 5.000000e-04 eta: 6:19:38 time: 0.392470 data_time: 0.033438 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.844353 loss: 0.000602 2022/09/28 03:08:47 - mmengine - INFO - Epoch(train) [110][500/586] lr: 5.000000e-04 eta: 6:19:18 time: 0.393246 data_time: 0.032754 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.757322 loss: 0.000624 2022/09/28 03:09:07 - mmengine - INFO - Epoch(train) [110][550/586] lr: 5.000000e-04 eta: 6:19:00 time: 0.400726 data_time: 0.032318 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.818829 loss: 0.000614 2022/09/28 03:09:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:09:21 - mmengine - INFO - Saving checkpoint at 110 epochs 2022/09/28 03:09:47 - mmengine - INFO - Epoch(val) [110][50/407] eta: 0:01:53 time: 0.318015 data_time: 0.116807 memory: 7071 2022/09/28 03:10:04 - mmengine - INFO - Epoch(val) [110][100/407] eta: 0:01:41 time: 0.331215 data_time: 0.134443 memory: 1674 2022/09/28 03:10:20 - mmengine - INFO - Epoch(val) [110][150/407] eta: 0:01:26 time: 0.336701 data_time: 0.134046 memory: 1674 2022/09/28 03:10:36 - mmengine - INFO - Epoch(val) [110][200/407] eta: 0:01:06 time: 0.319848 data_time: 0.135887 memory: 1674 2022/09/28 03:10:52 - mmengine - INFO - Epoch(val) [110][250/407] eta: 0:00:50 time: 0.320713 data_time: 0.109532 memory: 1674 2022/09/28 03:11:08 - mmengine - INFO - Epoch(val) [110][300/407] eta: 0:00:33 time: 0.315805 data_time: 0.108648 memory: 1674 2022/09/28 03:11:25 - mmengine - INFO - Epoch(val) [110][350/407] eta: 0:00:18 time: 0.331369 data_time: 0.138046 memory: 1674 2022/09/28 03:11:35 - mmengine - INFO - Epoch(val) [110][400/407] eta: 0:00:01 time: 0.204129 data_time: 0.102517 memory: 1674 2022/09/28 03:12:08 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 03:12:21 - mmengine - INFO - Epoch(val) [110][407/407] coco/AP: 0.717910 coco/AP .5: 0.896653 coco/AP .75: 0.798995 coco/AP (M): 0.683369 coco/AP (L): 0.783573 coco/AR: 0.775708 coco/AR .5: 0.935768 coco/AR .75: 0.849181 coco/AR (M): 0.733242 coco/AR (L): 0.836938 2022/09/28 03:12:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_90.pth is removed 2022/09/28 03:12:25 - mmengine - INFO - The best checkpoint with 0.7179 coco/AP at 110 epoch is saved to best_coco/AP_epoch_110.pth. 2022/09/28 03:12:44 - mmengine - INFO - Epoch(train) [111][50/586] lr: 5.000000e-04 eta: 6:18:13 time: 0.380616 data_time: 0.037899 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.766696 loss: 0.000631 2022/09/28 03:13:03 - mmengine - INFO - Epoch(train) [111][100/586] lr: 5.000000e-04 eta: 6:17:54 time: 0.382206 data_time: 0.030886 memory: 7071 loss_kpt: 0.000621 acc_pose: 0.796147 loss: 0.000621 2022/09/28 03:13:23 - mmengine - INFO - Epoch(train) [111][150/586] lr: 5.000000e-04 eta: 6:17:34 time: 0.388145 data_time: 0.041225 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.784053 loss: 0.000614 2022/09/28 03:13:42 - mmengine - INFO - Epoch(train) [111][200/586] lr: 5.000000e-04 eta: 6:17:15 time: 0.383301 data_time: 0.038884 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.818907 loss: 0.000630 2022/09/28 03:14:01 - mmengine - INFO - Epoch(train) [111][250/586] lr: 5.000000e-04 eta: 6:16:55 time: 0.382299 data_time: 0.042139 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.782580 loss: 0.000619 2022/09/28 03:14:20 - mmengine - INFO - Epoch(train) [111][300/586] lr: 5.000000e-04 eta: 6:16:35 time: 0.382758 data_time: 0.031639 memory: 7071 loss_kpt: 0.000620 acc_pose: 0.799171 loss: 0.000620 2022/09/28 03:14:40 - mmengine - INFO - Epoch(train) [111][350/586] lr: 5.000000e-04 eta: 6:16:16 time: 0.388730 data_time: 0.034050 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.805009 loss: 0.000622 2022/09/28 03:14:59 - mmengine - INFO - Epoch(train) [111][400/586] lr: 5.000000e-04 eta: 6:15:57 time: 0.393612 data_time: 0.027921 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.821879 loss: 0.000612 2022/09/28 03:15:19 - mmengine - INFO - Epoch(train) [111][450/586] lr: 5.000000e-04 eta: 6:15:38 time: 0.389518 data_time: 0.035719 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.862752 loss: 0.000631 2022/09/28 03:15:39 - mmengine - INFO - Epoch(train) [111][500/586] lr: 5.000000e-04 eta: 6:15:19 time: 0.401314 data_time: 0.031625 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.818141 loss: 0.000619 2022/09/28 03:15:54 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:15:58 - mmengine - INFO - Epoch(train) [111][550/586] lr: 5.000000e-04 eta: 6:14:59 time: 0.383092 data_time: 0.030404 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.876079 loss: 0.000619 2022/09/28 03:16:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:16:32 - mmengine - INFO - Epoch(train) [112][50/586] lr: 5.000000e-04 eta: 6:14:14 time: 0.404453 data_time: 0.044447 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.817460 loss: 0.000603 2022/09/28 03:16:53 - mmengine - INFO - Epoch(train) [112][100/586] lr: 5.000000e-04 eta: 6:13:56 time: 0.409732 data_time: 0.032593 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.871122 loss: 0.000615 2022/09/28 03:17:12 - mmengine - INFO - Epoch(train) [112][150/586] lr: 5.000000e-04 eta: 6:13:37 time: 0.392363 data_time: 0.035065 memory: 7071 loss_kpt: 0.000625 acc_pose: 0.843568 loss: 0.000625 2022/09/28 03:17:31 - mmengine - INFO - Epoch(train) [112][200/586] lr: 5.000000e-04 eta: 6:13:17 time: 0.377208 data_time: 0.039546 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.855015 loss: 0.000612 2022/09/28 03:17:51 - mmengine - INFO - Epoch(train) [112][250/586] lr: 5.000000e-04 eta: 6:12:58 time: 0.387404 data_time: 0.041094 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.829261 loss: 0.000614 2022/09/28 03:18:11 - mmengine - INFO - Epoch(train) [112][300/586] lr: 5.000000e-04 eta: 6:12:39 time: 0.403626 data_time: 0.037257 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.858214 loss: 0.000633 2022/09/28 03:18:30 - mmengine - INFO - Epoch(train) [112][350/586] lr: 5.000000e-04 eta: 6:12:19 time: 0.383359 data_time: 0.049170 memory: 7071 loss_kpt: 0.000625 acc_pose: 0.822680 loss: 0.000625 2022/09/28 03:18:49 - mmengine - INFO - Epoch(train) [112][400/586] lr: 5.000000e-04 eta: 6:12:00 time: 0.385462 data_time: 0.030270 memory: 7071 loss_kpt: 0.000629 acc_pose: 0.829931 loss: 0.000629 2022/09/28 03:19:08 - mmengine - INFO - Epoch(train) [112][450/586] lr: 5.000000e-04 eta: 6:11:40 time: 0.377033 data_time: 0.038653 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.840093 loss: 0.000614 2022/09/28 03:19:28 - mmengine - INFO - Epoch(train) [112][500/586] lr: 5.000000e-04 eta: 6:11:21 time: 0.393325 data_time: 0.030759 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.793566 loss: 0.000609 2022/09/28 03:19:47 - mmengine - INFO - Epoch(train) [112][550/586] lr: 5.000000e-04 eta: 6:11:01 time: 0.381303 data_time: 0.035411 memory: 7071 loss_kpt: 0.000608 acc_pose: 0.865535 loss: 0.000608 2022/09/28 03:20:01 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:20:22 - mmengine - INFO - Epoch(train) [113][50/586] lr: 5.000000e-04 eta: 6:10:17 time: 0.410239 data_time: 0.046216 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.817144 loss: 0.000616 2022/09/28 03:20:41 - mmengine - INFO - Epoch(train) [113][100/586] lr: 5.000000e-04 eta: 6:09:58 time: 0.388219 data_time: 0.039936 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.847804 loss: 0.000612 2022/09/28 03:21:01 - mmengine - INFO - Epoch(train) [113][150/586] lr: 5.000000e-04 eta: 6:09:38 time: 0.389806 data_time: 0.035408 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.848774 loss: 0.000606 2022/09/28 03:21:20 - mmengine - INFO - Epoch(train) [113][200/586] lr: 5.000000e-04 eta: 6:09:19 time: 0.385437 data_time: 0.033065 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.760723 loss: 0.000623 2022/09/28 03:21:39 - mmengine - INFO - Epoch(train) [113][250/586] lr: 5.000000e-04 eta: 6:08:59 time: 0.380329 data_time: 0.031011 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.837803 loss: 0.000606 2022/09/28 03:21:58 - mmengine - INFO - Epoch(train) [113][300/586] lr: 5.000000e-04 eta: 6:08:40 time: 0.390026 data_time: 0.036065 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.843321 loss: 0.000622 2022/09/28 03:22:18 - mmengine - INFO - Epoch(train) [113][350/586] lr: 5.000000e-04 eta: 6:08:21 time: 0.391039 data_time: 0.030069 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.788129 loss: 0.000610 2022/09/28 03:22:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:22:37 - mmengine - INFO - Epoch(train) [113][400/586] lr: 5.000000e-04 eta: 6:08:02 time: 0.390338 data_time: 0.038433 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.844926 loss: 0.000623 2022/09/28 03:22:57 - mmengine - INFO - Epoch(train) [113][450/586] lr: 5.000000e-04 eta: 6:07:42 time: 0.383117 data_time: 0.038745 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.917789 loss: 0.000610 2022/09/28 03:23:16 - mmengine - INFO - Epoch(train) [113][500/586] lr: 5.000000e-04 eta: 6:07:23 time: 0.394168 data_time: 0.036141 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.849933 loss: 0.000619 2022/09/28 03:23:35 - mmengine - INFO - Epoch(train) [113][550/586] lr: 5.000000e-04 eta: 6:07:03 time: 0.380821 data_time: 0.032480 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.814223 loss: 0.000613 2022/09/28 03:23:49 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:24:09 - mmengine - INFO - Epoch(train) [114][50/586] lr: 5.000000e-04 eta: 6:06:19 time: 0.405705 data_time: 0.051088 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.814883 loss: 0.000610 2022/09/28 03:24:28 - mmengine - INFO - Epoch(train) [114][100/586] lr: 5.000000e-04 eta: 6:05:59 time: 0.375385 data_time: 0.030558 memory: 7071 loss_kpt: 0.000635 acc_pose: 0.823729 loss: 0.000635 2022/09/28 03:24:48 - mmengine - INFO - Epoch(train) [114][150/586] lr: 5.000000e-04 eta: 6:05:40 time: 0.390111 data_time: 0.035137 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.856297 loss: 0.000606 2022/09/28 03:25:07 - mmengine - INFO - Epoch(train) [114][200/586] lr: 5.000000e-04 eta: 6:05:21 time: 0.392765 data_time: 0.045871 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.793759 loss: 0.000622 2022/09/28 03:25:27 - mmengine - INFO - Epoch(train) [114][250/586] lr: 5.000000e-04 eta: 6:05:02 time: 0.402333 data_time: 0.030657 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.821995 loss: 0.000630 2022/09/28 03:25:48 - mmengine - INFO - Epoch(train) [114][300/586] lr: 5.000000e-04 eta: 6:04:43 time: 0.404058 data_time: 0.031115 memory: 7071 loss_kpt: 0.000626 acc_pose: 0.828666 loss: 0.000626 2022/09/28 03:26:07 - mmengine - INFO - Epoch(train) [114][350/586] lr: 5.000000e-04 eta: 6:04:24 time: 0.389825 data_time: 0.037053 memory: 7071 loss_kpt: 0.000640 acc_pose: 0.854657 loss: 0.000640 2022/09/28 03:26:26 - mmengine - INFO - Epoch(train) [114][400/586] lr: 5.000000e-04 eta: 6:04:05 time: 0.384515 data_time: 0.036896 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.821308 loss: 0.000605 2022/09/28 03:26:46 - mmengine - INFO - Epoch(train) [114][450/586] lr: 5.000000e-04 eta: 6:03:45 time: 0.385209 data_time: 0.041186 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.872665 loss: 0.000618 2022/09/28 03:27:05 - mmengine - INFO - Epoch(train) [114][500/586] lr: 5.000000e-04 eta: 6:03:26 time: 0.389085 data_time: 0.032486 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.822154 loss: 0.000598 2022/09/28 03:27:24 - mmengine - INFO - Epoch(train) [114][550/586] lr: 5.000000e-04 eta: 6:03:07 time: 0.388236 data_time: 0.029903 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.848699 loss: 0.000616 2022/09/28 03:27:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:27:59 - mmengine - INFO - Epoch(train) [115][50/586] lr: 5.000000e-04 eta: 6:02:22 time: 0.398538 data_time: 0.042233 memory: 7071 loss_kpt: 0.000621 acc_pose: 0.875370 loss: 0.000621 2022/09/28 03:28:18 - mmengine - INFO - Epoch(train) [115][100/586] lr: 5.000000e-04 eta: 6:02:03 time: 0.380558 data_time: 0.032373 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.790320 loss: 0.000623 2022/09/28 03:28:38 - mmengine - INFO - Epoch(train) [115][150/586] lr: 5.000000e-04 eta: 6:01:43 time: 0.392143 data_time: 0.035858 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.805479 loss: 0.000618 2022/09/28 03:28:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:28:57 - mmengine - INFO - Epoch(train) [115][200/586] lr: 5.000000e-04 eta: 6:01:24 time: 0.387196 data_time: 0.040407 memory: 7071 loss_kpt: 0.000627 acc_pose: 0.772880 loss: 0.000627 2022/09/28 03:29:16 - mmengine - INFO - Epoch(train) [115][250/586] lr: 5.000000e-04 eta: 6:01:05 time: 0.379697 data_time: 0.032640 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.823773 loss: 0.000601 2022/09/28 03:29:36 - mmengine - INFO - Epoch(train) [115][300/586] lr: 5.000000e-04 eta: 6:00:46 time: 0.403714 data_time: 0.033966 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.818683 loss: 0.000615 2022/09/28 03:29:55 - mmengine - INFO - Epoch(train) [115][350/586] lr: 5.000000e-04 eta: 6:00:26 time: 0.385060 data_time: 0.030509 memory: 7071 loss_kpt: 0.000620 acc_pose: 0.864354 loss: 0.000620 2022/09/28 03:30:15 - mmengine - INFO - Epoch(train) [115][400/586] lr: 5.000000e-04 eta: 6:00:07 time: 0.394825 data_time: 0.031010 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.825492 loss: 0.000630 2022/09/28 03:30:35 - mmengine - INFO - Epoch(train) [115][450/586] lr: 5.000000e-04 eta: 5:59:49 time: 0.404111 data_time: 0.032987 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.810947 loss: 0.000618 2022/09/28 03:30:54 - mmengine - INFO - Epoch(train) [115][500/586] lr: 5.000000e-04 eta: 5:59:29 time: 0.379723 data_time: 0.034461 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.846013 loss: 0.000616 2022/09/28 03:31:13 - mmengine - INFO - Epoch(train) [115][550/586] lr: 5.000000e-04 eta: 5:59:10 time: 0.382790 data_time: 0.033318 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.872533 loss: 0.000604 2022/09/28 03:31:28 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:31:48 - mmengine - INFO - Epoch(train) [116][50/586] lr: 5.000000e-04 eta: 5:58:26 time: 0.403168 data_time: 0.069073 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.863709 loss: 0.000614 2022/09/28 03:32:08 - mmengine - INFO - Epoch(train) [116][100/586] lr: 5.000000e-04 eta: 5:58:06 time: 0.390816 data_time: 0.042765 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.806363 loss: 0.000607 2022/09/28 03:32:27 - mmengine - INFO - Epoch(train) [116][150/586] lr: 5.000000e-04 eta: 5:57:47 time: 0.388952 data_time: 0.031226 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.801305 loss: 0.000622 2022/09/28 03:32:47 - mmengine - INFO - Epoch(train) [116][200/586] lr: 5.000000e-04 eta: 5:57:29 time: 0.405950 data_time: 0.033184 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.865630 loss: 0.000624 2022/09/28 03:33:07 - mmengine - INFO - Epoch(train) [116][250/586] lr: 5.000000e-04 eta: 5:57:10 time: 0.397642 data_time: 0.045923 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.805940 loss: 0.000616 2022/09/28 03:33:27 - mmengine - INFO - Epoch(train) [116][300/586] lr: 5.000000e-04 eta: 5:56:51 time: 0.398133 data_time: 0.034583 memory: 7071 loss_kpt: 0.000621 acc_pose: 0.867699 loss: 0.000621 2022/09/28 03:33:46 - mmengine - INFO - Epoch(train) [116][350/586] lr: 5.000000e-04 eta: 5:56:31 time: 0.381103 data_time: 0.031778 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.869481 loss: 0.000615 2022/09/28 03:34:06 - mmengine - INFO - Epoch(train) [116][400/586] lr: 5.000000e-04 eta: 5:56:12 time: 0.386622 data_time: 0.037571 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.812098 loss: 0.000603 2022/09/28 03:34:25 - mmengine - INFO - Epoch(train) [116][450/586] lr: 5.000000e-04 eta: 5:55:53 time: 0.391704 data_time: 0.032987 memory: 7071 loss_kpt: 0.000627 acc_pose: 0.886249 loss: 0.000627 2022/09/28 03:34:45 - mmengine - INFO - Epoch(train) [116][500/586] lr: 5.000000e-04 eta: 5:55:34 time: 0.393253 data_time: 0.033303 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.817555 loss: 0.000622 2022/09/28 03:35:05 - mmengine - INFO - Epoch(train) [116][550/586] lr: 5.000000e-04 eta: 5:55:15 time: 0.393583 data_time: 0.034515 memory: 7071 loss_kpt: 0.000638 acc_pose: 0.875710 loss: 0.000638 2022/09/28 03:35:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:35:28 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:35:38 - mmengine - INFO - Epoch(train) [117][50/586] lr: 5.000000e-04 eta: 5:54:31 time: 0.396022 data_time: 0.039634 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.847107 loss: 0.000618 2022/09/28 03:35:57 - mmengine - INFO - Epoch(train) [117][100/586] lr: 5.000000e-04 eta: 5:54:11 time: 0.384192 data_time: 0.037872 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.804771 loss: 0.000610 2022/09/28 03:36:17 - mmengine - INFO - Epoch(train) [117][150/586] lr: 5.000000e-04 eta: 5:53:52 time: 0.396689 data_time: 0.035138 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.842931 loss: 0.000619 2022/09/28 03:36:37 - mmengine - INFO - Epoch(train) [117][200/586] lr: 5.000000e-04 eta: 5:53:33 time: 0.392194 data_time: 0.034569 memory: 7071 loss_kpt: 0.000621 acc_pose: 0.847522 loss: 0.000621 2022/09/28 03:36:56 - mmengine - INFO - Epoch(train) [117][250/586] lr: 5.000000e-04 eta: 5:53:14 time: 0.389460 data_time: 0.046314 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.882555 loss: 0.000618 2022/09/28 03:37:16 - mmengine - INFO - Epoch(train) [117][300/586] lr: 5.000000e-04 eta: 5:52:55 time: 0.390175 data_time: 0.032239 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.854250 loss: 0.000614 2022/09/28 03:37:35 - mmengine - INFO - Epoch(train) [117][350/586] lr: 5.000000e-04 eta: 5:52:35 time: 0.384263 data_time: 0.031269 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.899626 loss: 0.000603 2022/09/28 03:37:55 - mmengine - INFO - Epoch(train) [117][400/586] lr: 5.000000e-04 eta: 5:52:16 time: 0.396311 data_time: 0.034426 memory: 7071 loss_kpt: 0.000630 acc_pose: 0.861291 loss: 0.000630 2022/09/28 03:38:14 - mmengine - INFO - Epoch(train) [117][450/586] lr: 5.000000e-04 eta: 5:51:57 time: 0.375959 data_time: 0.032979 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.805314 loss: 0.000599 2022/09/28 03:38:33 - mmengine - INFO - Epoch(train) [117][500/586] lr: 5.000000e-04 eta: 5:51:37 time: 0.387408 data_time: 0.034413 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.847715 loss: 0.000612 2022/09/28 03:38:53 - mmengine - INFO - Epoch(train) [117][550/586] lr: 5.000000e-04 eta: 5:51:19 time: 0.400338 data_time: 0.028997 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.802209 loss: 0.000609 2022/09/28 03:39:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:39:28 - mmengine - INFO - Epoch(train) [118][50/586] lr: 5.000000e-04 eta: 5:50:36 time: 0.416009 data_time: 0.043587 memory: 7071 loss_kpt: 0.000627 acc_pose: 0.883895 loss: 0.000627 2022/09/28 03:39:47 - mmengine - INFO - Epoch(train) [118][100/586] lr: 5.000000e-04 eta: 5:50:16 time: 0.385241 data_time: 0.029201 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.873708 loss: 0.000616 2022/09/28 03:40:06 - mmengine - INFO - Epoch(train) [118][150/586] lr: 5.000000e-04 eta: 5:49:56 time: 0.376835 data_time: 0.029028 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.838594 loss: 0.000589 2022/09/28 03:40:25 - mmengine - INFO - Epoch(train) [118][200/586] lr: 5.000000e-04 eta: 5:49:37 time: 0.380319 data_time: 0.035835 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.858860 loss: 0.000614 2022/09/28 03:40:45 - mmengine - INFO - Epoch(train) [118][250/586] lr: 5.000000e-04 eta: 5:49:18 time: 0.407053 data_time: 0.029505 memory: 7071 loss_kpt: 0.000622 acc_pose: 0.806636 loss: 0.000622 2022/09/28 03:41:05 - mmengine - INFO - Epoch(train) [118][300/586] lr: 5.000000e-04 eta: 5:48:59 time: 0.391722 data_time: 0.031883 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.822725 loss: 0.000613 2022/09/28 03:41:24 - mmengine - INFO - Epoch(train) [118][350/586] lr: 5.000000e-04 eta: 5:48:40 time: 0.389875 data_time: 0.037176 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.883475 loss: 0.000615 2022/09/28 03:41:44 - mmengine - INFO - Epoch(train) [118][400/586] lr: 5.000000e-04 eta: 5:48:21 time: 0.398309 data_time: 0.053176 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.846140 loss: 0.000623 2022/09/28 03:41:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:42:04 - mmengine - INFO - Epoch(train) [118][450/586] lr: 5.000000e-04 eta: 5:48:02 time: 0.385835 data_time: 0.029664 memory: 7071 loss_kpt: 0.000621 acc_pose: 0.856997 loss: 0.000621 2022/09/28 03:42:23 - mmengine - INFO - Epoch(train) [118][500/586] lr: 5.000000e-04 eta: 5:47:43 time: 0.395820 data_time: 0.041030 memory: 7071 loss_kpt: 0.000617 acc_pose: 0.870472 loss: 0.000617 2022/09/28 03:42:43 - mmengine - INFO - Epoch(train) [118][550/586] lr: 5.000000e-04 eta: 5:47:24 time: 0.392037 data_time: 0.034210 memory: 7071 loss_kpt: 0.000617 acc_pose: 0.789918 loss: 0.000617 2022/09/28 03:42:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:43:17 - mmengine - INFO - Epoch(train) [119][50/586] lr: 5.000000e-04 eta: 5:46:41 time: 0.404933 data_time: 0.040950 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.823839 loss: 0.000599 2022/09/28 03:43:37 - mmengine - INFO - Epoch(train) [119][100/586] lr: 5.000000e-04 eta: 5:46:22 time: 0.395231 data_time: 0.033782 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.793792 loss: 0.000609 2022/09/28 03:43:56 - mmengine - INFO - Epoch(train) [119][150/586] lr: 5.000000e-04 eta: 5:46:02 time: 0.391181 data_time: 0.034419 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.849133 loss: 0.000607 2022/09/28 03:44:16 - mmengine - INFO - Epoch(train) [119][200/586] lr: 5.000000e-04 eta: 5:45:43 time: 0.390244 data_time: 0.035541 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.855854 loss: 0.000594 2022/09/28 03:44:36 - mmengine - INFO - Epoch(train) [119][250/586] lr: 5.000000e-04 eta: 5:45:24 time: 0.392171 data_time: 0.031485 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.853738 loss: 0.000612 2022/09/28 03:44:55 - mmengine - INFO - Epoch(train) [119][300/586] lr: 5.000000e-04 eta: 5:45:05 time: 0.387885 data_time: 0.028977 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.851098 loss: 0.000619 2022/09/28 03:45:14 - mmengine - INFO - Epoch(train) [119][350/586] lr: 5.000000e-04 eta: 5:44:45 time: 0.378759 data_time: 0.035130 memory: 7071 loss_kpt: 0.000625 acc_pose: 0.875032 loss: 0.000625 2022/09/28 03:45:34 - mmengine - INFO - Epoch(train) [119][400/586] lr: 5.000000e-04 eta: 5:44:27 time: 0.398073 data_time: 0.039722 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.902117 loss: 0.000624 2022/09/28 03:45:54 - mmengine - INFO - Epoch(train) [119][450/586] lr: 5.000000e-04 eta: 5:44:07 time: 0.392877 data_time: 0.032719 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.853191 loss: 0.000610 2022/09/28 03:46:13 - mmengine - INFO - Epoch(train) [119][500/586] lr: 5.000000e-04 eta: 5:43:48 time: 0.387437 data_time: 0.031468 memory: 7071 loss_kpt: 0.000597 acc_pose: 0.874974 loss: 0.000597 2022/09/28 03:46:33 - mmengine - INFO - Epoch(train) [119][550/586] lr: 5.000000e-04 eta: 5:43:29 time: 0.393400 data_time: 0.049090 memory: 7071 loss_kpt: 0.000617 acc_pose: 0.769013 loss: 0.000617 2022/09/28 03:46:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:47:07 - mmengine - INFO - Epoch(train) [120][50/586] lr: 5.000000e-04 eta: 5:42:47 time: 0.421516 data_time: 0.037380 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.906819 loss: 0.000615 2022/09/28 03:47:27 - mmengine - INFO - Epoch(train) [120][100/586] lr: 5.000000e-04 eta: 5:42:27 time: 0.385871 data_time: 0.031419 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.855007 loss: 0.000614 2022/09/28 03:47:46 - mmengine - INFO - Epoch(train) [120][150/586] lr: 5.000000e-04 eta: 5:42:08 time: 0.392496 data_time: 0.035017 memory: 7071 loss_kpt: 0.000621 acc_pose: 0.910435 loss: 0.000621 2022/09/28 03:48:05 - mmengine - INFO - Epoch(train) [120][200/586] lr: 5.000000e-04 eta: 5:41:49 time: 0.381204 data_time: 0.035837 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.871082 loss: 0.000618 2022/09/28 03:48:25 - mmengine - INFO - Epoch(train) [120][250/586] lr: 5.000000e-04 eta: 5:41:30 time: 0.395911 data_time: 0.031518 memory: 7071 loss_kpt: 0.000608 acc_pose: 0.900195 loss: 0.000608 2022/09/28 03:48:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:48:44 - mmengine - INFO - Epoch(train) [120][300/586] lr: 5.000000e-04 eta: 5:41:11 time: 0.386478 data_time: 0.033045 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.863576 loss: 0.000598 2022/09/28 03:49:03 - mmengine - INFO - Epoch(train) [120][350/586] lr: 5.000000e-04 eta: 5:40:51 time: 0.375545 data_time: 0.033465 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.829990 loss: 0.000598 2022/09/28 03:49:22 - mmengine - INFO - Epoch(train) [120][400/586] lr: 5.000000e-04 eta: 5:40:32 time: 0.384147 data_time: 0.035490 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.854190 loss: 0.000614 2022/09/28 03:49:42 - mmengine - INFO - Epoch(train) [120][450/586] lr: 5.000000e-04 eta: 5:40:12 time: 0.383453 data_time: 0.033472 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.858980 loss: 0.000616 2022/09/28 03:50:01 - mmengine - INFO - Epoch(train) [120][500/586] lr: 5.000000e-04 eta: 5:39:53 time: 0.388495 data_time: 0.031013 memory: 7071 loss_kpt: 0.000597 acc_pose: 0.834270 loss: 0.000597 2022/09/28 03:50:21 - mmengine - INFO - Epoch(train) [120][550/586] lr: 5.000000e-04 eta: 5:39:34 time: 0.395512 data_time: 0.034802 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.823285 loss: 0.000631 2022/09/28 03:50:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:50:35 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/09/28 03:51:03 - mmengine - INFO - Epoch(val) [120][50/407] eta: 0:02:08 time: 0.358870 data_time: 0.165540 memory: 7071 2022/09/28 03:51:21 - mmengine - INFO - Epoch(val) [120][100/407] eta: 0:01:45 time: 0.343468 data_time: 0.133537 memory: 1674 2022/09/28 03:51:37 - mmengine - INFO - Epoch(val) [120][150/407] eta: 0:01:26 time: 0.335901 data_time: 0.133861 memory: 1674 2022/09/28 03:51:54 - mmengine - INFO - Epoch(val) [120][200/407] eta: 0:01:08 time: 0.328616 data_time: 0.142289 memory: 1674 2022/09/28 03:52:10 - mmengine - INFO - Epoch(val) [120][250/407] eta: 0:00:52 time: 0.333051 data_time: 0.125178 memory: 1674 2022/09/28 03:52:27 - mmengine - INFO - Epoch(val) [120][300/407] eta: 0:00:34 time: 0.326362 data_time: 0.131002 memory: 1674 2022/09/28 03:52:43 - mmengine - INFO - Epoch(val) [120][350/407] eta: 0:00:18 time: 0.318601 data_time: 0.132104 memory: 1674 2022/09/28 03:52:50 - mmengine - INFO - Epoch(val) [120][400/407] eta: 0:00:01 time: 0.144645 data_time: 0.050908 memory: 1674 2022/09/28 03:53:22 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 03:53:35 - mmengine - INFO - Epoch(val) [120][407/407] coco/AP: 0.717361 coco/AP .5: 0.894938 coco/AP .75: 0.797162 coco/AP (M): 0.681569 coco/AP (L): 0.785207 coco/AR: 0.773788 coco/AR .5: 0.935139 coco/AR .75: 0.844458 coco/AR (M): 0.729500 coco/AR (L): 0.838016 2022/09/28 03:53:57 - mmengine - INFO - Epoch(train) [121][50/586] lr: 5.000000e-04 eta: 5:38:52 time: 0.428485 data_time: 0.056233 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.815203 loss: 0.000584 2022/09/28 03:54:16 - mmengine - INFO - Epoch(train) [121][100/586] lr: 5.000000e-04 eta: 5:38:33 time: 0.384470 data_time: 0.027541 memory: 7071 loss_kpt: 0.000633 acc_pose: 0.805408 loss: 0.000633 2022/09/28 03:54:36 - mmengine - INFO - Epoch(train) [121][150/586] lr: 5.000000e-04 eta: 5:38:14 time: 0.391374 data_time: 0.037165 memory: 7071 loss_kpt: 0.000621 acc_pose: 0.910132 loss: 0.000621 2022/09/28 03:54:55 - mmengine - INFO - Epoch(train) [121][200/586] lr: 5.000000e-04 eta: 5:37:54 time: 0.386193 data_time: 0.036908 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.836224 loss: 0.000601 2022/09/28 03:55:16 - mmengine - INFO - Epoch(train) [121][250/586] lr: 5.000000e-04 eta: 5:37:36 time: 0.424286 data_time: 0.040909 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.774608 loss: 0.000598 2022/09/28 03:55:36 - mmengine - INFO - Epoch(train) [121][300/586] lr: 5.000000e-04 eta: 5:37:17 time: 0.389648 data_time: 0.033460 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.842588 loss: 0.000602 2022/09/28 03:55:55 - mmengine - INFO - Epoch(train) [121][350/586] lr: 5.000000e-04 eta: 5:36:58 time: 0.381867 data_time: 0.034192 memory: 7071 loss_kpt: 0.000608 acc_pose: 0.813189 loss: 0.000608 2022/09/28 03:56:15 - mmengine - INFO - Epoch(train) [121][400/586] lr: 5.000000e-04 eta: 5:36:39 time: 0.398656 data_time: 0.035205 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.814390 loss: 0.000600 2022/09/28 03:56:35 - mmengine - INFO - Epoch(train) [121][450/586] lr: 5.000000e-04 eta: 5:36:21 time: 0.410450 data_time: 0.030847 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.868116 loss: 0.000618 2022/09/28 03:56:55 - mmengine - INFO - Epoch(train) [121][500/586] lr: 5.000000e-04 eta: 5:36:02 time: 0.401595 data_time: 0.041326 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.868235 loss: 0.000604 2022/09/28 03:57:15 - mmengine - INFO - Epoch(train) [121][550/586] lr: 5.000000e-04 eta: 5:35:42 time: 0.383125 data_time: 0.031014 memory: 7071 loss_kpt: 0.000632 acc_pose: 0.880392 loss: 0.000632 2022/09/28 03:57:28 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:57:48 - mmengine - INFO - Epoch(train) [122][50/586] lr: 5.000000e-04 eta: 5:35:00 time: 0.408116 data_time: 0.040468 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.801255 loss: 0.000609 2022/09/28 03:58:06 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 03:58:08 - mmengine - INFO - Epoch(train) [122][100/586] lr: 5.000000e-04 eta: 5:34:41 time: 0.391516 data_time: 0.040166 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.801623 loss: 0.000602 2022/09/28 03:58:28 - mmengine - INFO - Epoch(train) [122][150/586] lr: 5.000000e-04 eta: 5:34:22 time: 0.401705 data_time: 0.041198 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.827454 loss: 0.000613 2022/09/28 03:58:47 - mmengine - INFO - Epoch(train) [122][200/586] lr: 5.000000e-04 eta: 5:34:03 time: 0.383329 data_time: 0.031780 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.776652 loss: 0.000600 2022/09/28 03:59:07 - mmengine - INFO - Epoch(train) [122][250/586] lr: 5.000000e-04 eta: 5:33:44 time: 0.389131 data_time: 0.039500 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.885386 loss: 0.000613 2022/09/28 03:59:26 - mmengine - INFO - Epoch(train) [122][300/586] lr: 5.000000e-04 eta: 5:33:24 time: 0.392041 data_time: 0.042465 memory: 7071 loss_kpt: 0.000597 acc_pose: 0.863370 loss: 0.000597 2022/09/28 03:59:45 - mmengine - INFO - Epoch(train) [122][350/586] lr: 5.000000e-04 eta: 5:33:05 time: 0.377482 data_time: 0.029949 memory: 7071 loss_kpt: 0.000639 acc_pose: 0.861793 loss: 0.000639 2022/09/28 04:00:05 - mmengine - INFO - Epoch(train) [122][400/586] lr: 5.000000e-04 eta: 5:32:46 time: 0.401627 data_time: 0.033780 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.840948 loss: 0.000619 2022/09/28 04:00:24 - mmengine - INFO - Epoch(train) [122][450/586] lr: 5.000000e-04 eta: 5:32:27 time: 0.378028 data_time: 0.036036 memory: 7071 loss_kpt: 0.000636 acc_pose: 0.876312 loss: 0.000636 2022/09/28 04:00:44 - mmengine - INFO - Epoch(train) [122][500/586] lr: 5.000000e-04 eta: 5:32:08 time: 0.399646 data_time: 0.035864 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.804760 loss: 0.000586 2022/09/28 04:01:04 - mmengine - INFO - Epoch(train) [122][550/586] lr: 5.000000e-04 eta: 5:31:49 time: 0.397420 data_time: 0.042500 memory: 7071 loss_kpt: 0.000621 acc_pose: 0.773703 loss: 0.000621 2022/09/28 04:01:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:01:38 - mmengine - INFO - Epoch(train) [123][50/586] lr: 5.000000e-04 eta: 5:31:06 time: 0.399312 data_time: 0.050620 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.804173 loss: 0.000613 2022/09/28 04:01:57 - mmengine - INFO - Epoch(train) [123][100/586] lr: 5.000000e-04 eta: 5:30:47 time: 0.381490 data_time: 0.033309 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.856442 loss: 0.000613 2022/09/28 04:02:16 - mmengine - INFO - Epoch(train) [123][150/586] lr: 5.000000e-04 eta: 5:30:28 time: 0.387709 data_time: 0.037577 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.858672 loss: 0.000601 2022/09/28 04:02:36 - mmengine - INFO - Epoch(train) [123][200/586] lr: 5.000000e-04 eta: 5:30:09 time: 0.394969 data_time: 0.032596 memory: 7071 loss_kpt: 0.000611 acc_pose: 0.840426 loss: 0.000611 2022/09/28 04:02:56 - mmengine - INFO - Epoch(train) [123][250/586] lr: 5.000000e-04 eta: 5:29:50 time: 0.391019 data_time: 0.035388 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.844107 loss: 0.000598 2022/09/28 04:03:16 - mmengine - INFO - Epoch(train) [123][300/586] lr: 5.000000e-04 eta: 5:29:31 time: 0.396885 data_time: 0.048447 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.832244 loss: 0.000614 2022/09/28 04:03:35 - mmengine - INFO - Epoch(train) [123][350/586] lr: 5.000000e-04 eta: 5:29:12 time: 0.388643 data_time: 0.036090 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.850344 loss: 0.000602 2022/09/28 04:03:55 - mmengine - INFO - Epoch(train) [123][400/586] lr: 5.000000e-04 eta: 5:28:52 time: 0.388673 data_time: 0.042633 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.819157 loss: 0.000614 2022/09/28 04:04:13 - mmengine - INFO - Epoch(train) [123][450/586] lr: 5.000000e-04 eta: 5:28:33 time: 0.378687 data_time: 0.032062 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.826338 loss: 0.000600 2022/09/28 04:04:33 - mmengine - INFO - Epoch(train) [123][500/586] lr: 5.000000e-04 eta: 5:28:13 time: 0.382812 data_time: 0.036974 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.827670 loss: 0.000596 2022/09/28 04:04:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:04:53 - mmengine - INFO - Epoch(train) [123][550/586] lr: 5.000000e-04 eta: 5:27:55 time: 0.400222 data_time: 0.033160 memory: 7071 loss_kpt: 0.000621 acc_pose: 0.856850 loss: 0.000621 2022/09/28 04:05:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:05:27 - mmengine - INFO - Epoch(train) [124][50/586] lr: 5.000000e-04 eta: 5:27:12 time: 0.402083 data_time: 0.038767 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.827516 loss: 0.000613 2022/09/28 04:05:46 - mmengine - INFO - Epoch(train) [124][100/586] lr: 5.000000e-04 eta: 5:26:53 time: 0.381591 data_time: 0.031159 memory: 7071 loss_kpt: 0.000631 acc_pose: 0.852102 loss: 0.000631 2022/09/28 04:06:05 - mmengine - INFO - Epoch(train) [124][150/586] lr: 5.000000e-04 eta: 5:26:34 time: 0.383342 data_time: 0.050678 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.888964 loss: 0.000610 2022/09/28 04:06:25 - mmengine - INFO - Epoch(train) [124][200/586] lr: 5.000000e-04 eta: 5:26:15 time: 0.397243 data_time: 0.033095 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.895681 loss: 0.000618 2022/09/28 04:06:46 - mmengine - INFO - Epoch(train) [124][250/586] lr: 5.000000e-04 eta: 5:25:56 time: 0.413607 data_time: 0.033895 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.859803 loss: 0.000591 2022/09/28 04:07:05 - mmengine - INFO - Epoch(train) [124][300/586] lr: 5.000000e-04 eta: 5:25:37 time: 0.383941 data_time: 0.031871 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.851874 loss: 0.000607 2022/09/28 04:07:26 - mmengine - INFO - Epoch(train) [124][350/586] lr: 5.000000e-04 eta: 5:25:19 time: 0.417126 data_time: 0.049304 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.842337 loss: 0.000602 2022/09/28 04:07:46 - mmengine - INFO - Epoch(train) [124][400/586] lr: 5.000000e-04 eta: 5:25:00 time: 0.394198 data_time: 0.040665 memory: 7071 loss_kpt: 0.000626 acc_pose: 0.857409 loss: 0.000626 2022/09/28 04:08:05 - mmengine - INFO - Epoch(train) [124][450/586] lr: 5.000000e-04 eta: 5:24:41 time: 0.398319 data_time: 0.048499 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.868364 loss: 0.000600 2022/09/28 04:08:25 - mmengine - INFO - Epoch(train) [124][500/586] lr: 5.000000e-04 eta: 5:24:22 time: 0.385247 data_time: 0.032264 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.822363 loss: 0.000609 2022/09/28 04:08:45 - mmengine - INFO - Epoch(train) [124][550/586] lr: 5.000000e-04 eta: 5:24:03 time: 0.405800 data_time: 0.040474 memory: 7071 loss_kpt: 0.000608 acc_pose: 0.814800 loss: 0.000608 2022/09/28 04:08:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:09:19 - mmengine - INFO - Epoch(train) [125][50/586] lr: 5.000000e-04 eta: 5:23:21 time: 0.404017 data_time: 0.041452 memory: 7071 loss_kpt: 0.000620 acc_pose: 0.881737 loss: 0.000620 2022/09/28 04:09:40 - mmengine - INFO - Epoch(train) [125][100/586] lr: 5.000000e-04 eta: 5:23:03 time: 0.414367 data_time: 0.036435 memory: 7071 loss_kpt: 0.000608 acc_pose: 0.836936 loss: 0.000608 2022/09/28 04:10:00 - mmengine - INFO - Epoch(train) [125][150/586] lr: 5.000000e-04 eta: 5:22:44 time: 0.403479 data_time: 0.038000 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.865907 loss: 0.000598 2022/09/28 04:10:19 - mmengine - INFO - Epoch(train) [125][200/586] lr: 5.000000e-04 eta: 5:22:25 time: 0.384825 data_time: 0.029015 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.798975 loss: 0.000606 2022/09/28 04:10:38 - mmengine - INFO - Epoch(train) [125][250/586] lr: 5.000000e-04 eta: 5:22:06 time: 0.382270 data_time: 0.038610 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.891612 loss: 0.000607 2022/09/28 04:10:58 - mmengine - INFO - Epoch(train) [125][300/586] lr: 5.000000e-04 eta: 5:21:46 time: 0.385393 data_time: 0.033033 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.873113 loss: 0.000616 2022/09/28 04:11:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:11:17 - mmengine - INFO - Epoch(train) [125][350/586] lr: 5.000000e-04 eta: 5:21:27 time: 0.389882 data_time: 0.043490 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.804958 loss: 0.000601 2022/09/28 04:11:37 - mmengine - INFO - Epoch(train) [125][400/586] lr: 5.000000e-04 eta: 5:21:08 time: 0.393015 data_time: 0.034429 memory: 7071 loss_kpt: 0.000617 acc_pose: 0.895439 loss: 0.000617 2022/09/28 04:11:56 - mmengine - INFO - Epoch(train) [125][450/586] lr: 5.000000e-04 eta: 5:20:49 time: 0.380832 data_time: 0.029596 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.851690 loss: 0.000600 2022/09/28 04:12:15 - mmengine - INFO - Epoch(train) [125][500/586] lr: 5.000000e-04 eta: 5:20:30 time: 0.389081 data_time: 0.039188 memory: 7071 loss_kpt: 0.000608 acc_pose: 0.859780 loss: 0.000608 2022/09/28 04:12:35 - mmengine - INFO - Epoch(train) [125][550/586] lr: 5.000000e-04 eta: 5:20:10 time: 0.387415 data_time: 0.045528 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.830847 loss: 0.000609 2022/09/28 04:12:48 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:13:08 - mmengine - INFO - Epoch(train) [126][50/586] lr: 5.000000e-04 eta: 5:19:28 time: 0.391264 data_time: 0.045799 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.854209 loss: 0.000595 2022/09/28 04:13:27 - mmengine - INFO - Epoch(train) [126][100/586] lr: 5.000000e-04 eta: 5:19:08 time: 0.375424 data_time: 0.032662 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.830840 loss: 0.000590 2022/09/28 04:13:47 - mmengine - INFO - Epoch(train) [126][150/586] lr: 5.000000e-04 eta: 5:18:50 time: 0.399726 data_time: 0.035335 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.795429 loss: 0.000602 2022/09/28 04:14:06 - mmengine - INFO - Epoch(train) [126][200/586] lr: 5.000000e-04 eta: 5:18:30 time: 0.384390 data_time: 0.040923 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.835321 loss: 0.000595 2022/09/28 04:14:26 - mmengine - INFO - Epoch(train) [126][250/586] lr: 5.000000e-04 eta: 5:18:11 time: 0.388575 data_time: 0.036588 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.903633 loss: 0.000612 2022/09/28 04:14:45 - mmengine - INFO - Epoch(train) [126][300/586] lr: 5.000000e-04 eta: 5:17:52 time: 0.396315 data_time: 0.031581 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.855955 loss: 0.000599 2022/09/28 04:15:06 - mmengine - INFO - Epoch(train) [126][350/586] lr: 5.000000e-04 eta: 5:17:34 time: 0.403046 data_time: 0.038906 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.829319 loss: 0.000604 2022/09/28 04:15:25 - mmengine - INFO - Epoch(train) [126][400/586] lr: 5.000000e-04 eta: 5:17:15 time: 0.392482 data_time: 0.034704 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.893371 loss: 0.000592 2022/09/28 04:15:44 - mmengine - INFO - Epoch(train) [126][450/586] lr: 5.000000e-04 eta: 5:16:55 time: 0.380569 data_time: 0.035579 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.818520 loss: 0.000618 2022/09/28 04:16:04 - mmengine - INFO - Epoch(train) [126][500/586] lr: 5.000000e-04 eta: 5:16:36 time: 0.386288 data_time: 0.031311 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.853635 loss: 0.000599 2022/09/28 04:16:23 - mmengine - INFO - Epoch(train) [126][550/586] lr: 5.000000e-04 eta: 5:16:17 time: 0.387168 data_time: 0.033132 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.859489 loss: 0.000619 2022/09/28 04:16:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:16:57 - mmengine - INFO - Epoch(train) [127][50/586] lr: 5.000000e-04 eta: 5:15:35 time: 0.396308 data_time: 0.045098 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.890729 loss: 0.000596 2022/09/28 04:17:16 - mmengine - INFO - Epoch(train) [127][100/586] lr: 5.000000e-04 eta: 5:15:16 time: 0.386811 data_time: 0.037578 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.807285 loss: 0.000606 2022/09/28 04:17:36 - mmengine - INFO - Epoch(train) [127][150/586] lr: 5.000000e-04 eta: 5:14:57 time: 0.394823 data_time: 0.039744 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.866560 loss: 0.000600 2022/09/28 04:17:41 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:17:56 - mmengine - INFO - Epoch(train) [127][200/586] lr: 5.000000e-04 eta: 5:14:38 time: 0.406739 data_time: 0.032470 memory: 7071 loss_kpt: 0.000597 acc_pose: 0.866295 loss: 0.000597 2022/09/28 04:18:16 - mmengine - INFO - Epoch(train) [127][250/586] lr: 5.000000e-04 eta: 5:14:19 time: 0.393498 data_time: 0.043409 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.825311 loss: 0.000585 2022/09/28 04:18:35 - mmengine - INFO - Epoch(train) [127][300/586] lr: 5.000000e-04 eta: 5:14:00 time: 0.390384 data_time: 0.038252 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.760786 loss: 0.000615 2022/09/28 04:18:54 - mmengine - INFO - Epoch(train) [127][350/586] lr: 5.000000e-04 eta: 5:13:41 time: 0.382486 data_time: 0.032331 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.866736 loss: 0.000598 2022/09/28 04:19:14 - mmengine - INFO - Epoch(train) [127][400/586] lr: 5.000000e-04 eta: 5:13:21 time: 0.385178 data_time: 0.043415 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.792481 loss: 0.000612 2022/09/28 04:19:33 - mmengine - INFO - Epoch(train) [127][450/586] lr: 5.000000e-04 eta: 5:13:02 time: 0.378290 data_time: 0.034275 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.824932 loss: 0.000594 2022/09/28 04:19:52 - mmengine - INFO - Epoch(train) [127][500/586] lr: 5.000000e-04 eta: 5:12:43 time: 0.387904 data_time: 0.043174 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.857195 loss: 0.000618 2022/09/28 04:20:12 - mmengine - INFO - Epoch(train) [127][550/586] lr: 5.000000e-04 eta: 5:12:24 time: 0.394191 data_time: 0.030929 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.868765 loss: 0.000592 2022/09/28 04:20:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:20:45 - mmengine - INFO - Epoch(train) [128][50/586] lr: 5.000000e-04 eta: 5:11:42 time: 0.391580 data_time: 0.039041 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.821575 loss: 0.000607 2022/09/28 04:21:04 - mmengine - INFO - Epoch(train) [128][100/586] lr: 5.000000e-04 eta: 5:11:22 time: 0.378807 data_time: 0.030927 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.859881 loss: 0.000618 2022/09/28 04:21:24 - mmengine - INFO - Epoch(train) [128][150/586] lr: 5.000000e-04 eta: 5:11:04 time: 0.397399 data_time: 0.041568 memory: 7071 loss_kpt: 0.000628 acc_pose: 0.857063 loss: 0.000628 2022/09/28 04:21:43 - mmengine - INFO - Epoch(train) [128][200/586] lr: 5.000000e-04 eta: 5:10:44 time: 0.387348 data_time: 0.035654 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.865080 loss: 0.000605 2022/09/28 04:22:02 - mmengine - INFO - Epoch(train) [128][250/586] lr: 5.000000e-04 eta: 5:10:25 time: 0.384994 data_time: 0.040149 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.814738 loss: 0.000604 2022/09/28 04:22:23 - mmengine - INFO - Epoch(train) [128][300/586] lr: 5.000000e-04 eta: 5:10:07 time: 0.416153 data_time: 0.035242 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.798720 loss: 0.000616 2022/09/28 04:22:42 - mmengine - INFO - Epoch(train) [128][350/586] lr: 5.000000e-04 eta: 5:09:48 time: 0.386394 data_time: 0.029275 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.897709 loss: 0.000612 2022/09/28 04:23:03 - mmengine - INFO - Epoch(train) [128][400/586] lr: 5.000000e-04 eta: 5:09:29 time: 0.412578 data_time: 0.034366 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.833520 loss: 0.000586 2022/09/28 04:23:23 - mmengine - INFO - Epoch(train) [128][450/586] lr: 5.000000e-04 eta: 5:09:10 time: 0.391791 data_time: 0.048465 memory: 7071 loss_kpt: 0.000613 acc_pose: 0.835840 loss: 0.000613 2022/09/28 04:23:42 - mmengine - INFO - Epoch(train) [128][500/586] lr: 5.000000e-04 eta: 5:08:51 time: 0.390182 data_time: 0.033623 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.851919 loss: 0.000602 2022/09/28 04:24:02 - mmengine - INFO - Epoch(train) [128][550/586] lr: 5.000000e-04 eta: 5:08:32 time: 0.392094 data_time: 0.040518 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.792899 loss: 0.000599 2022/09/28 04:24:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:24:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:24:37 - mmengine - INFO - Epoch(train) [129][50/586] lr: 5.000000e-04 eta: 5:07:52 time: 0.424679 data_time: 0.041554 memory: 7071 loss_kpt: 0.000611 acc_pose: 0.845727 loss: 0.000611 2022/09/28 04:24:56 - mmengine - INFO - Epoch(train) [129][100/586] lr: 5.000000e-04 eta: 5:07:32 time: 0.378902 data_time: 0.034668 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.839895 loss: 0.000609 2022/09/28 04:25:16 - mmengine - INFO - Epoch(train) [129][150/586] lr: 5.000000e-04 eta: 5:07:13 time: 0.396174 data_time: 0.037810 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.846781 loss: 0.000610 2022/09/28 04:25:36 - mmengine - INFO - Epoch(train) [129][200/586] lr: 5.000000e-04 eta: 5:06:55 time: 0.403138 data_time: 0.035757 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.887958 loss: 0.000604 2022/09/28 04:25:55 - mmengine - INFO - Epoch(train) [129][250/586] lr: 5.000000e-04 eta: 5:06:35 time: 0.385565 data_time: 0.035152 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.851113 loss: 0.000601 2022/09/28 04:26:14 - mmengine - INFO - Epoch(train) [129][300/586] lr: 5.000000e-04 eta: 5:06:16 time: 0.380529 data_time: 0.035885 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.785666 loss: 0.000623 2022/09/28 04:26:34 - mmengine - INFO - Epoch(train) [129][350/586] lr: 5.000000e-04 eta: 5:05:57 time: 0.387431 data_time: 0.039335 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.847967 loss: 0.000607 2022/09/28 04:26:54 - mmengine - INFO - Epoch(train) [129][400/586] lr: 5.000000e-04 eta: 5:05:38 time: 0.401616 data_time: 0.045882 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.854178 loss: 0.000619 2022/09/28 04:27:13 - mmengine - INFO - Epoch(train) [129][450/586] lr: 5.000000e-04 eta: 5:05:19 time: 0.389970 data_time: 0.034411 memory: 7071 loss_kpt: 0.000617 acc_pose: 0.863302 loss: 0.000617 2022/09/28 04:27:33 - mmengine - INFO - Epoch(train) [129][500/586] lr: 5.000000e-04 eta: 5:05:00 time: 0.387075 data_time: 0.032958 memory: 7071 loss_kpt: 0.000575 acc_pose: 0.790253 loss: 0.000575 2022/09/28 04:27:52 - mmengine - INFO - Epoch(train) [129][550/586] lr: 5.000000e-04 eta: 5:04:41 time: 0.394891 data_time: 0.037098 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.829615 loss: 0.000591 2022/09/28 04:28:06 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:28:26 - mmengine - INFO - Epoch(train) [130][50/586] lr: 5.000000e-04 eta: 5:04:00 time: 0.406161 data_time: 0.045675 memory: 7071 loss_kpt: 0.000597 acc_pose: 0.826232 loss: 0.000597 2022/09/28 04:28:45 - mmengine - INFO - Epoch(train) [130][100/586] lr: 5.000000e-04 eta: 5:03:41 time: 0.383187 data_time: 0.035948 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.845919 loss: 0.000607 2022/09/28 04:29:05 - mmengine - INFO - Epoch(train) [130][150/586] lr: 5.000000e-04 eta: 5:03:22 time: 0.391103 data_time: 0.034245 memory: 7071 loss_kpt: 0.000597 acc_pose: 0.817661 loss: 0.000597 2022/09/28 04:29:24 - mmengine - INFO - Epoch(train) [130][200/586] lr: 5.000000e-04 eta: 5:03:02 time: 0.390332 data_time: 0.045014 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.878477 loss: 0.000607 2022/09/28 04:29:43 - mmengine - INFO - Epoch(train) [130][250/586] lr: 5.000000e-04 eta: 5:02:43 time: 0.376007 data_time: 0.033350 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.835509 loss: 0.000609 2022/09/28 04:30:02 - mmengine - INFO - Epoch(train) [130][300/586] lr: 5.000000e-04 eta: 5:02:24 time: 0.380370 data_time: 0.040476 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.718355 loss: 0.000604 2022/09/28 04:30:22 - mmengine - INFO - Epoch(train) [130][350/586] lr: 5.000000e-04 eta: 5:02:05 time: 0.398869 data_time: 0.031941 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.793507 loss: 0.000609 2022/09/28 04:30:42 - mmengine - INFO - Epoch(train) [130][400/586] lr: 5.000000e-04 eta: 5:01:46 time: 0.402692 data_time: 0.036474 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.820427 loss: 0.000606 2022/09/28 04:30:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:31:03 - mmengine - INFO - Epoch(train) [130][450/586] lr: 5.000000e-04 eta: 5:01:28 time: 0.407335 data_time: 0.029613 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.845575 loss: 0.000589 2022/09/28 04:31:22 - mmengine - INFO - Epoch(train) [130][500/586] lr: 5.000000e-04 eta: 5:01:08 time: 0.382740 data_time: 0.036736 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.845270 loss: 0.000594 2022/09/28 04:31:42 - mmengine - INFO - Epoch(train) [130][550/586] lr: 5.000000e-04 eta: 5:00:49 time: 0.398140 data_time: 0.048010 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.851708 loss: 0.000623 2022/09/28 04:31:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:31:55 - mmengine - INFO - Saving checkpoint at 130 epochs 2022/09/28 04:32:24 - mmengine - INFO - Epoch(val) [130][50/407] eta: 0:02:02 time: 0.343465 data_time: 0.155350 memory: 7071 2022/09/28 04:32:40 - mmengine - INFO - Epoch(val) [130][100/407] eta: 0:01:43 time: 0.337638 data_time: 0.139588 memory: 1674 2022/09/28 04:32:57 - mmengine - INFO - Epoch(val) [130][150/407] eta: 0:01:25 time: 0.332144 data_time: 0.140935 memory: 1674 2022/09/28 04:33:13 - mmengine - INFO - Epoch(val) [130][200/407] eta: 0:01:05 time: 0.314616 data_time: 0.113028 memory: 1674 2022/09/28 04:33:29 - mmengine - INFO - Epoch(val) [130][250/407] eta: 0:00:50 time: 0.321874 data_time: 0.126041 memory: 1674 2022/09/28 04:33:45 - mmengine - INFO - Epoch(val) [130][300/407] eta: 0:00:34 time: 0.321885 data_time: 0.115424 memory: 1674 2022/09/28 04:34:01 - mmengine - INFO - Epoch(val) [130][350/407] eta: 0:00:18 time: 0.315915 data_time: 0.124462 memory: 1674 2022/09/28 04:34:10 - mmengine - INFO - Epoch(val) [130][400/407] eta: 0:00:01 time: 0.192834 data_time: 0.085260 memory: 1674 2022/09/28 04:34:43 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 04:34:56 - mmengine - INFO - Epoch(val) [130][407/407] coco/AP: 0.720565 coco/AP .5: 0.899066 coco/AP .75: 0.800393 coco/AP (M): 0.684500 coco/AP (L): 0.786517 coco/AR: 0.776244 coco/AR .5: 0.937028 coco/AR .75: 0.845560 coco/AR (M): 0.734007 coco/AR (L): 0.837384 2022/09/28 04:34:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_110.pth is removed 2022/09/28 04:34:58 - mmengine - INFO - The best checkpoint with 0.7206 coco/AP at 130 epoch is saved to best_coco/AP_epoch_130.pth. 2022/09/28 04:35:19 - mmengine - INFO - Epoch(train) [131][50/586] lr: 5.000000e-04 eta: 5:00:09 time: 0.410511 data_time: 0.049719 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.768344 loss: 0.000624 2022/09/28 04:35:39 - mmengine - INFO - Epoch(train) [131][100/586] lr: 5.000000e-04 eta: 4:59:50 time: 0.392334 data_time: 0.034825 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.837930 loss: 0.000596 2022/09/28 04:35:58 - mmengine - INFO - Epoch(train) [131][150/586] lr: 5.000000e-04 eta: 4:59:31 time: 0.387877 data_time: 0.034088 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.897165 loss: 0.000595 2022/09/28 04:36:17 - mmengine - INFO - Epoch(train) [131][200/586] lr: 5.000000e-04 eta: 4:59:11 time: 0.377666 data_time: 0.032036 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.905292 loss: 0.000598 2022/09/28 04:36:39 - mmengine - INFO - Epoch(train) [131][250/586] lr: 5.000000e-04 eta: 4:58:54 time: 0.444387 data_time: 0.043857 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.823986 loss: 0.000606 2022/09/28 04:37:00 - mmengine - INFO - Epoch(train) [131][300/586] lr: 5.000000e-04 eta: 4:58:35 time: 0.408875 data_time: 0.032364 memory: 7071 loss_kpt: 0.000617 acc_pose: 0.823399 loss: 0.000617 2022/09/28 04:37:19 - mmengine - INFO - Epoch(train) [131][350/586] lr: 5.000000e-04 eta: 4:58:16 time: 0.384021 data_time: 0.028808 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.798498 loss: 0.000615 2022/09/28 04:37:39 - mmengine - INFO - Epoch(train) [131][400/586] lr: 5.000000e-04 eta: 4:57:57 time: 0.406693 data_time: 0.034743 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.859811 loss: 0.000607 2022/09/28 04:37:58 - mmengine - INFO - Epoch(train) [131][450/586] lr: 5.000000e-04 eta: 4:57:38 time: 0.375135 data_time: 0.031970 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.821414 loss: 0.000606 2022/09/28 04:38:17 - mmengine - INFO - Epoch(train) [131][500/586] lr: 5.000000e-04 eta: 4:57:19 time: 0.380308 data_time: 0.029557 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.812647 loss: 0.000599 2022/09/28 04:38:37 - mmengine - INFO - Epoch(train) [131][550/586] lr: 5.000000e-04 eta: 4:57:00 time: 0.396502 data_time: 0.033270 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.866466 loss: 0.000606 2022/09/28 04:38:51 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:39:11 - mmengine - INFO - Epoch(train) [132][50/586] lr: 5.000000e-04 eta: 4:56:19 time: 0.393603 data_time: 0.040500 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.850356 loss: 0.000614 2022/09/28 04:39:30 - mmengine - INFO - Epoch(train) [132][100/586] lr: 5.000000e-04 eta: 4:55:59 time: 0.385244 data_time: 0.047713 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.895004 loss: 0.000584 2022/09/28 04:39:50 - mmengine - INFO - Epoch(train) [132][150/586] lr: 5.000000e-04 eta: 4:55:40 time: 0.391462 data_time: 0.033488 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.848607 loss: 0.000616 2022/09/28 04:40:09 - mmengine - INFO - Epoch(train) [132][200/586] lr: 5.000000e-04 eta: 4:55:21 time: 0.388771 data_time: 0.032632 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.810204 loss: 0.000616 2022/09/28 04:40:22 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:40:29 - mmengine - INFO - Epoch(train) [132][250/586] lr: 5.000000e-04 eta: 4:55:02 time: 0.384782 data_time: 0.032886 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.742361 loss: 0.000606 2022/09/28 04:40:48 - mmengine - INFO - Epoch(train) [132][300/586] lr: 5.000000e-04 eta: 4:54:43 time: 0.390157 data_time: 0.031899 memory: 7071 loss_kpt: 0.000624 acc_pose: 0.831361 loss: 0.000624 2022/09/28 04:41:07 - mmengine - INFO - Epoch(train) [132][350/586] lr: 5.000000e-04 eta: 4:54:24 time: 0.379593 data_time: 0.031741 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.788154 loss: 0.000615 2022/09/28 04:41:26 - mmengine - INFO - Epoch(train) [132][400/586] lr: 5.000000e-04 eta: 4:54:04 time: 0.384836 data_time: 0.030564 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.762877 loss: 0.000602 2022/09/28 04:41:46 - mmengine - INFO - Epoch(train) [132][450/586] lr: 5.000000e-04 eta: 4:53:45 time: 0.388482 data_time: 0.033223 memory: 7071 loss_kpt: 0.000627 acc_pose: 0.833583 loss: 0.000627 2022/09/28 04:42:06 - mmengine - INFO - Epoch(train) [132][500/586] lr: 5.000000e-04 eta: 4:53:26 time: 0.399444 data_time: 0.039816 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.849855 loss: 0.000583 2022/09/28 04:42:26 - mmengine - INFO - Epoch(train) [132][550/586] lr: 5.000000e-04 eta: 4:53:08 time: 0.400804 data_time: 0.030955 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.902955 loss: 0.000610 2022/09/28 04:42:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:43:00 - mmengine - INFO - Epoch(train) [133][50/586] lr: 5.000000e-04 eta: 4:52:27 time: 0.399359 data_time: 0.043571 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.780060 loss: 0.000588 2022/09/28 04:43:19 - mmengine - INFO - Epoch(train) [133][100/586] lr: 5.000000e-04 eta: 4:52:08 time: 0.388223 data_time: 0.039249 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.896826 loss: 0.000610 2022/09/28 04:43:39 - mmengine - INFO - Epoch(train) [133][150/586] lr: 5.000000e-04 eta: 4:51:49 time: 0.398638 data_time: 0.034213 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.854136 loss: 0.000583 2022/09/28 04:43:59 - mmengine - INFO - Epoch(train) [133][200/586] lr: 5.000000e-04 eta: 4:51:30 time: 0.394679 data_time: 0.035462 memory: 7071 loss_kpt: 0.000611 acc_pose: 0.825473 loss: 0.000611 2022/09/28 04:44:18 - mmengine - INFO - Epoch(train) [133][250/586] lr: 5.000000e-04 eta: 4:51:11 time: 0.382793 data_time: 0.042733 memory: 7071 loss_kpt: 0.000597 acc_pose: 0.883238 loss: 0.000597 2022/09/28 04:44:38 - mmengine - INFO - Epoch(train) [133][300/586] lr: 5.000000e-04 eta: 4:50:52 time: 0.404895 data_time: 0.030616 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.835112 loss: 0.000604 2022/09/28 04:44:59 - mmengine - INFO - Epoch(train) [133][350/586] lr: 5.000000e-04 eta: 4:50:34 time: 0.413496 data_time: 0.040367 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.803824 loss: 0.000596 2022/09/28 04:45:18 - mmengine - INFO - Epoch(train) [133][400/586] lr: 5.000000e-04 eta: 4:50:15 time: 0.387028 data_time: 0.036158 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.788541 loss: 0.000600 2022/09/28 04:45:38 - mmengine - INFO - Epoch(train) [133][450/586] lr: 5.000000e-04 eta: 4:49:56 time: 0.395914 data_time: 0.031424 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.834371 loss: 0.000618 2022/09/28 04:45:57 - mmengine - INFO - Epoch(train) [133][500/586] lr: 5.000000e-04 eta: 4:49:37 time: 0.382401 data_time: 0.034937 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.828214 loss: 0.000616 2022/09/28 04:46:16 - mmengine - INFO - Epoch(train) [133][550/586] lr: 5.000000e-04 eta: 4:49:17 time: 0.388075 data_time: 0.038665 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.869106 loss: 0.000603 2022/09/28 04:46:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:46:50 - mmengine - INFO - Epoch(train) [134][50/586] lr: 5.000000e-04 eta: 4:48:37 time: 0.402191 data_time: 0.048403 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.851670 loss: 0.000596 2022/09/28 04:46:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:47:10 - mmengine - INFO - Epoch(train) [134][100/586] lr: 5.000000e-04 eta: 4:48:18 time: 0.397609 data_time: 0.035206 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.854159 loss: 0.000591 2022/09/28 04:47:29 - mmengine - INFO - Epoch(train) [134][150/586] lr: 5.000000e-04 eta: 4:47:59 time: 0.375706 data_time: 0.033840 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.836454 loss: 0.000601 2022/09/28 04:47:48 - mmengine - INFO - Epoch(train) [134][200/586] lr: 5.000000e-04 eta: 4:47:39 time: 0.382309 data_time: 0.033549 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.822747 loss: 0.000602 2022/09/28 04:48:08 - mmengine - INFO - Epoch(train) [134][250/586] lr: 5.000000e-04 eta: 4:47:20 time: 0.386283 data_time: 0.038533 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.821045 loss: 0.000589 2022/09/28 04:48:28 - mmengine - INFO - Epoch(train) [134][300/586] lr: 5.000000e-04 eta: 4:47:02 time: 0.412208 data_time: 0.033234 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.885722 loss: 0.000588 2022/09/28 04:48:48 - mmengine - INFO - Epoch(train) [134][350/586] lr: 5.000000e-04 eta: 4:46:43 time: 0.387816 data_time: 0.035731 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.799068 loss: 0.000599 2022/09/28 04:49:08 - mmengine - INFO - Epoch(train) [134][400/586] lr: 5.000000e-04 eta: 4:46:24 time: 0.398062 data_time: 0.048191 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.841971 loss: 0.000589 2022/09/28 04:49:27 - mmengine - INFO - Epoch(train) [134][450/586] lr: 5.000000e-04 eta: 4:46:05 time: 0.385596 data_time: 0.035022 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.848788 loss: 0.000595 2022/09/28 04:49:47 - mmengine - INFO - Epoch(train) [134][500/586] lr: 5.000000e-04 eta: 4:45:46 time: 0.395562 data_time: 0.033702 memory: 7071 loss_kpt: 0.000611 acc_pose: 0.760146 loss: 0.000611 2022/09/28 04:50:45 - mmengine - INFO - Epoch(train) [134][550/586] lr: 5.000000e-04 eta: 4:45:49 time: 1.175990 data_time: 0.342069 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.847060 loss: 0.000607 2022/09/28 04:51:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:52:53 - mmengine - INFO - Epoch(train) [135][50/586] lr: 5.000000e-04 eta: 4:45:36 time: 1.379261 data_time: 0.478006 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.883155 loss: 0.000587 2022/09/28 04:53:15 - mmengine - INFO - Epoch(train) [135][100/586] lr: 5.000000e-04 eta: 4:45:19 time: 0.445517 data_time: 0.056180 memory: 7071 loss_kpt: 0.000614 acc_pose: 0.752070 loss: 0.000614 2022/09/28 04:53:41 - mmengine - INFO - Epoch(train) [135][150/586] lr: 5.000000e-04 eta: 4:45:03 time: 0.518052 data_time: 0.033640 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.855020 loss: 0.000592 2022/09/28 04:54:03 - mmengine - INFO - Epoch(train) [135][200/586] lr: 5.000000e-04 eta: 4:44:45 time: 0.432973 data_time: 0.050149 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.895539 loss: 0.000592 2022/09/28 04:54:28 - mmengine - INFO - Epoch(train) [135][250/586] lr: 5.000000e-04 eta: 4:44:29 time: 0.500012 data_time: 0.057221 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.849792 loss: 0.000605 2022/09/28 04:54:48 - mmengine - INFO - Epoch(train) [135][300/586] lr: 5.000000e-04 eta: 4:44:10 time: 0.401895 data_time: 0.044757 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.885381 loss: 0.000595 2022/09/28 04:55:08 - mmengine - INFO - Epoch(train) [135][350/586] lr: 5.000000e-04 eta: 4:43:51 time: 0.394848 data_time: 0.031428 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.802874 loss: 0.000588 2022/09/28 04:55:27 - mmengine - INFO - Epoch(train) [135][400/586] lr: 5.000000e-04 eta: 4:43:32 time: 0.381951 data_time: 0.031765 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.823117 loss: 0.000586 2022/09/28 04:55:46 - mmengine - INFO - Epoch(train) [135][450/586] lr: 5.000000e-04 eta: 4:43:13 time: 0.383579 data_time: 0.033920 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.898227 loss: 0.000583 2022/09/28 04:55:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:56:06 - mmengine - INFO - Epoch(train) [135][500/586] lr: 5.000000e-04 eta: 4:42:54 time: 0.395480 data_time: 0.040328 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.857131 loss: 0.000592 2022/09/28 04:56:25 - mmengine - INFO - Epoch(train) [135][550/586] lr: 5.000000e-04 eta: 4:42:35 time: 0.387355 data_time: 0.042959 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.867091 loss: 0.000606 2022/09/28 04:56:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 04:57:00 - mmengine - INFO - Epoch(train) [136][50/586] lr: 5.000000e-04 eta: 4:41:54 time: 0.410609 data_time: 0.054184 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.747086 loss: 0.000610 2022/09/28 04:57:20 - mmengine - INFO - Epoch(train) [136][100/586] lr: 5.000000e-04 eta: 4:41:35 time: 0.383314 data_time: 0.032793 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.805448 loss: 0.000598 2022/09/28 04:57:38 - mmengine - INFO - Epoch(train) [136][150/586] lr: 5.000000e-04 eta: 4:41:16 time: 0.374755 data_time: 0.032710 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.892109 loss: 0.000601 2022/09/28 04:57:58 - mmengine - INFO - Epoch(train) [136][200/586] lr: 5.000000e-04 eta: 4:40:56 time: 0.391531 data_time: 0.040604 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.789485 loss: 0.000595 2022/09/28 04:58:19 - mmengine - INFO - Epoch(train) [136][250/586] lr: 5.000000e-04 eta: 4:40:38 time: 0.414819 data_time: 0.030550 memory: 7071 loss_kpt: 0.000608 acc_pose: 0.831635 loss: 0.000608 2022/09/28 04:58:38 - mmengine - INFO - Epoch(train) [136][300/586] lr: 5.000000e-04 eta: 4:40:19 time: 0.389380 data_time: 0.030720 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.810692 loss: 0.000589 2022/09/28 04:58:57 - mmengine - INFO - Epoch(train) [136][350/586] lr: 5.000000e-04 eta: 4:40:00 time: 0.384595 data_time: 0.034581 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.856390 loss: 0.000604 2022/09/28 04:59:16 - mmengine - INFO - Epoch(train) [136][400/586] lr: 5.000000e-04 eta: 4:39:40 time: 0.382331 data_time: 0.033799 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.860724 loss: 0.000601 2022/09/28 04:59:36 - mmengine - INFO - Epoch(train) [136][450/586] lr: 5.000000e-04 eta: 4:39:21 time: 0.387299 data_time: 0.038069 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.811466 loss: 0.000594 2022/09/28 04:59:55 - mmengine - INFO - Epoch(train) [136][500/586] lr: 5.000000e-04 eta: 4:39:02 time: 0.386546 data_time: 0.038104 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.839407 loss: 0.000592 2022/09/28 05:00:15 - mmengine - INFO - Epoch(train) [136][550/586] lr: 5.000000e-04 eta: 4:38:43 time: 0.387460 data_time: 0.037600 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.881348 loss: 0.000589 2022/09/28 05:00:29 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:00:48 - mmengine - INFO - Epoch(train) [137][50/586] lr: 5.000000e-04 eta: 4:38:02 time: 0.394778 data_time: 0.046642 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.885547 loss: 0.000590 2022/09/28 05:01:08 - mmengine - INFO - Epoch(train) [137][100/586] lr: 5.000000e-04 eta: 4:37:43 time: 0.392898 data_time: 0.043475 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.810793 loss: 0.000585 2022/09/28 05:01:27 - mmengine - INFO - Epoch(train) [137][150/586] lr: 5.000000e-04 eta: 4:37:24 time: 0.382925 data_time: 0.029942 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.771164 loss: 0.000604 2022/09/28 05:01:47 - mmengine - INFO - Epoch(train) [137][200/586] lr: 5.000000e-04 eta: 4:37:05 time: 0.394587 data_time: 0.040277 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.821456 loss: 0.000585 2022/09/28 05:02:06 - mmengine - INFO - Epoch(train) [137][250/586] lr: 5.000000e-04 eta: 4:36:46 time: 0.386396 data_time: 0.033897 memory: 7071 loss_kpt: 0.000617 acc_pose: 0.818946 loss: 0.000617 2022/09/28 05:02:25 - mmengine - INFO - Epoch(train) [137][300/586] lr: 5.000000e-04 eta: 4:36:26 time: 0.384161 data_time: 0.039311 memory: 7071 loss_kpt: 0.000572 acc_pose: 0.854098 loss: 0.000572 2022/09/28 05:02:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:02:45 - mmengine - INFO - Epoch(train) [137][350/586] lr: 5.000000e-04 eta: 4:36:07 time: 0.389174 data_time: 0.031839 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.869211 loss: 0.000601 2022/09/28 05:03:05 - mmengine - INFO - Epoch(train) [137][400/586] lr: 5.000000e-04 eta: 4:35:48 time: 0.402762 data_time: 0.031160 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.825999 loss: 0.000605 2022/09/28 05:03:25 - mmengine - INFO - Epoch(train) [137][450/586] lr: 5.000000e-04 eta: 4:35:29 time: 0.394460 data_time: 0.031600 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.813323 loss: 0.000587 2022/09/28 05:03:44 - mmengine - INFO - Epoch(train) [137][500/586] lr: 5.000000e-04 eta: 4:35:10 time: 0.390103 data_time: 0.043237 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.912035 loss: 0.000616 2022/09/28 05:04:03 - mmengine - INFO - Epoch(train) [137][550/586] lr: 5.000000e-04 eta: 4:34:51 time: 0.375558 data_time: 0.034756 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.886384 loss: 0.000590 2022/09/28 05:04:17 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:04:38 - mmengine - INFO - Epoch(train) [138][50/586] lr: 5.000000e-04 eta: 4:34:11 time: 0.408470 data_time: 0.049180 memory: 7071 loss_kpt: 0.000572 acc_pose: 0.854430 loss: 0.000572 2022/09/28 05:04:57 - mmengine - INFO - Epoch(train) [138][100/586] lr: 5.000000e-04 eta: 4:33:52 time: 0.393646 data_time: 0.039513 memory: 7071 loss_kpt: 0.000619 acc_pose: 0.829890 loss: 0.000619 2022/09/28 05:05:16 - mmengine - INFO - Epoch(train) [138][150/586] lr: 5.000000e-04 eta: 4:33:32 time: 0.379366 data_time: 0.033931 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.817288 loss: 0.000602 2022/09/28 05:05:35 - mmengine - INFO - Epoch(train) [138][200/586] lr: 5.000000e-04 eta: 4:33:13 time: 0.380944 data_time: 0.032073 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.907794 loss: 0.000584 2022/09/28 05:05:55 - mmengine - INFO - Epoch(train) [138][250/586] lr: 5.000000e-04 eta: 4:32:54 time: 0.388669 data_time: 0.035406 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.797387 loss: 0.000601 2022/09/28 05:06:15 - mmengine - INFO - Epoch(train) [138][300/586] lr: 5.000000e-04 eta: 4:32:35 time: 0.407756 data_time: 0.031489 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.755923 loss: 0.000612 2022/09/28 05:06:35 - mmengine - INFO - Epoch(train) [138][350/586] lr: 5.000000e-04 eta: 4:32:16 time: 0.402550 data_time: 0.035268 memory: 7071 loss_kpt: 0.000611 acc_pose: 0.807720 loss: 0.000611 2022/09/28 05:06:54 - mmengine - INFO - Epoch(train) [138][400/586] lr: 5.000000e-04 eta: 4:31:57 time: 0.379956 data_time: 0.031255 memory: 7071 loss_kpt: 0.000620 acc_pose: 0.856402 loss: 0.000620 2022/09/28 05:07:14 - mmengine - INFO - Epoch(train) [138][450/586] lr: 5.000000e-04 eta: 4:31:38 time: 0.391739 data_time: 0.038172 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.868218 loss: 0.000582 2022/09/28 05:07:34 - mmengine - INFO - Epoch(train) [138][500/586] lr: 5.000000e-04 eta: 4:31:19 time: 0.391873 data_time: 0.038308 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.855725 loss: 0.000604 2022/09/28 05:07:53 - mmengine - INFO - Epoch(train) [138][550/586] lr: 5.000000e-04 eta: 4:31:00 time: 0.392758 data_time: 0.030558 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.833887 loss: 0.000600 2022/09/28 05:08:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:08:27 - mmengine - INFO - Epoch(train) [139][50/586] lr: 5.000000e-04 eta: 4:30:20 time: 0.397490 data_time: 0.043937 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.777356 loss: 0.000603 2022/09/28 05:08:46 - mmengine - INFO - Epoch(train) [139][100/586] lr: 5.000000e-04 eta: 4:30:00 time: 0.378042 data_time: 0.030904 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.868762 loss: 0.000599 2022/09/28 05:08:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:09:05 - mmengine - INFO - Epoch(train) [139][150/586] lr: 5.000000e-04 eta: 4:29:41 time: 0.381663 data_time: 0.032796 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.863952 loss: 0.000592 2022/09/28 05:09:25 - mmengine - INFO - Epoch(train) [139][200/586] lr: 5.000000e-04 eta: 4:29:22 time: 0.398837 data_time: 0.035199 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.891740 loss: 0.000604 2022/09/28 05:09:44 - mmengine - INFO - Epoch(train) [139][250/586] lr: 5.000000e-04 eta: 4:29:03 time: 0.386497 data_time: 0.035083 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.785405 loss: 0.000601 2022/09/28 05:10:04 - mmengine - INFO - Epoch(train) [139][300/586] lr: 5.000000e-04 eta: 4:28:44 time: 0.390159 data_time: 0.028163 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.831236 loss: 0.000603 2022/09/28 05:10:24 - mmengine - INFO - Epoch(train) [139][350/586] lr: 5.000000e-04 eta: 4:28:25 time: 0.396882 data_time: 0.036145 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.897927 loss: 0.000593 2022/09/28 05:10:43 - mmengine - INFO - Epoch(train) [139][400/586] lr: 5.000000e-04 eta: 4:28:06 time: 0.384912 data_time: 0.044886 memory: 7071 loss_kpt: 0.000618 acc_pose: 0.847994 loss: 0.000618 2022/09/28 05:11:03 - mmengine - INFO - Epoch(train) [139][450/586] lr: 5.000000e-04 eta: 4:27:47 time: 0.390926 data_time: 0.038469 memory: 7071 loss_kpt: 0.000579 acc_pose: 0.851185 loss: 0.000579 2022/09/28 05:11:22 - mmengine - INFO - Epoch(train) [139][500/586] lr: 5.000000e-04 eta: 4:27:27 time: 0.390302 data_time: 0.030829 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.865653 loss: 0.000583 2022/09/28 05:11:41 - mmengine - INFO - Epoch(train) [139][550/586] lr: 5.000000e-04 eta: 4:27:08 time: 0.378226 data_time: 0.031395 memory: 7071 loss_kpt: 0.000611 acc_pose: 0.831573 loss: 0.000611 2022/09/28 05:11:55 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:12:15 - mmengine - INFO - Epoch(train) [140][50/586] lr: 5.000000e-04 eta: 4:26:28 time: 0.402454 data_time: 0.048440 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.829215 loss: 0.000580 2022/09/28 05:12:34 - mmengine - INFO - Epoch(train) [140][100/586] lr: 5.000000e-04 eta: 4:26:09 time: 0.379962 data_time: 0.032506 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.875513 loss: 0.000606 2022/09/28 05:12:54 - mmengine - INFO - Epoch(train) [140][150/586] lr: 5.000000e-04 eta: 4:25:50 time: 0.396715 data_time: 0.031187 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.830285 loss: 0.000609 2022/09/28 05:13:14 - mmengine - INFO - Epoch(train) [140][200/586] lr: 5.000000e-04 eta: 4:25:31 time: 0.403871 data_time: 0.037044 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.869673 loss: 0.000581 2022/09/28 05:13:34 - mmengine - INFO - Epoch(train) [140][250/586] lr: 5.000000e-04 eta: 4:25:12 time: 0.394492 data_time: 0.032489 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.803574 loss: 0.000593 2022/09/28 05:13:53 - mmengine - INFO - Epoch(train) [140][300/586] lr: 5.000000e-04 eta: 4:24:53 time: 0.391492 data_time: 0.029869 memory: 7071 loss_kpt: 0.000577 acc_pose: 0.853167 loss: 0.000577 2022/09/28 05:14:13 - mmengine - INFO - Epoch(train) [140][350/586] lr: 5.000000e-04 eta: 4:24:34 time: 0.388296 data_time: 0.041745 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.867827 loss: 0.000582 2022/09/28 05:14:32 - mmengine - INFO - Epoch(train) [140][400/586] lr: 5.000000e-04 eta: 4:24:15 time: 0.387154 data_time: 0.031537 memory: 7071 loss_kpt: 0.000611 acc_pose: 0.873784 loss: 0.000611 2022/09/28 05:14:52 - mmengine - INFO - Epoch(train) [140][450/586] lr: 5.000000e-04 eta: 4:23:56 time: 0.407490 data_time: 0.034882 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.791650 loss: 0.000591 2022/09/28 05:15:12 - mmengine - INFO - Epoch(train) [140][500/586] lr: 5.000000e-04 eta: 4:23:37 time: 0.397662 data_time: 0.034844 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.862077 loss: 0.000583 2022/09/28 05:15:30 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:15:31 - mmengine - INFO - Epoch(train) [140][550/586] lr: 5.000000e-04 eta: 4:23:18 time: 0.381425 data_time: 0.037904 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.830834 loss: 0.000589 2022/09/28 05:15:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:15:45 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/09/28 05:16:10 - mmengine - INFO - Epoch(val) [140][50/407] eta: 0:01:54 time: 0.320670 data_time: 0.111612 memory: 7071 2022/09/28 05:16:26 - mmengine - INFO - Epoch(val) [140][100/407] eta: 0:01:37 time: 0.317325 data_time: 0.115485 memory: 1674 2022/09/28 05:16:43 - mmengine - INFO - Epoch(val) [140][150/407] eta: 0:01:24 time: 0.329197 data_time: 0.139458 memory: 1674 2022/09/28 05:16:58 - mmengine - INFO - Epoch(val) [140][200/407] eta: 0:01:05 time: 0.314495 data_time: 0.104519 memory: 1674 2022/09/28 05:17:15 - mmengine - INFO - Epoch(val) [140][250/407] eta: 0:00:50 time: 0.323759 data_time: 0.132132 memory: 1674 2022/09/28 05:17:31 - mmengine - INFO - Epoch(val) [140][300/407] eta: 0:00:36 time: 0.336706 data_time: 0.136764 memory: 1674 2022/09/28 05:17:47 - mmengine - INFO - Epoch(val) [140][350/407] eta: 0:00:18 time: 0.317617 data_time: 0.109188 memory: 1674 2022/09/28 05:17:59 - mmengine - INFO - Epoch(val) [140][400/407] eta: 0:00:01 time: 0.232264 data_time: 0.095567 memory: 1674 2022/09/28 05:18:31 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 05:18:44 - mmengine - INFO - Epoch(val) [140][407/407] coco/AP: 0.715601 coco/AP .5: 0.894592 coco/AP .75: 0.795411 coco/AP (M): 0.681450 coco/AP (L): 0.782835 coco/AR: 0.774543 coco/AR .5: 0.936555 coco/AR .75: 0.845246 coco/AR (M): 0.732286 coco/AR (L): 0.835897 2022/09/28 05:19:05 - mmengine - INFO - Epoch(train) [141][50/586] lr: 5.000000e-04 eta: 4:22:39 time: 0.422407 data_time: 0.052431 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.864433 loss: 0.000604 2022/09/28 05:19:24 - mmengine - INFO - Epoch(train) [141][100/586] lr: 5.000000e-04 eta: 4:22:20 time: 0.385852 data_time: 0.034683 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.844546 loss: 0.000605 2022/09/28 05:19:45 - mmengine - INFO - Epoch(train) [141][150/586] lr: 5.000000e-04 eta: 4:22:01 time: 0.414211 data_time: 0.032969 memory: 7071 loss_kpt: 0.000615 acc_pose: 0.872607 loss: 0.000615 2022/09/28 05:20:04 - mmengine - INFO - Epoch(train) [141][200/586] lr: 5.000000e-04 eta: 4:21:42 time: 0.385645 data_time: 0.038469 memory: 7071 loss_kpt: 0.000611 acc_pose: 0.812452 loss: 0.000611 2022/09/28 05:20:24 - mmengine - INFO - Epoch(train) [141][250/586] lr: 5.000000e-04 eta: 4:21:23 time: 0.389384 data_time: 0.031532 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.857436 loss: 0.000587 2022/09/28 05:20:43 - mmengine - INFO - Epoch(train) [141][300/586] lr: 5.000000e-04 eta: 4:21:04 time: 0.386748 data_time: 0.027777 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.848657 loss: 0.000591 2022/09/28 05:21:03 - mmengine - INFO - Epoch(train) [141][350/586] lr: 5.000000e-04 eta: 4:20:44 time: 0.386457 data_time: 0.036758 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.854104 loss: 0.000591 2022/09/28 05:21:22 - mmengine - INFO - Epoch(train) [141][400/586] lr: 5.000000e-04 eta: 4:20:25 time: 0.384964 data_time: 0.034389 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.783060 loss: 0.000594 2022/09/28 05:21:41 - mmengine - INFO - Epoch(train) [141][450/586] lr: 5.000000e-04 eta: 4:20:06 time: 0.391515 data_time: 0.033605 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.847760 loss: 0.000593 2022/09/28 05:22:01 - mmengine - INFO - Epoch(train) [141][500/586] lr: 5.000000e-04 eta: 4:19:47 time: 0.386131 data_time: 0.033670 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.874253 loss: 0.000587 2022/09/28 05:22:21 - mmengine - INFO - Epoch(train) [141][550/586] lr: 5.000000e-04 eta: 4:19:28 time: 0.405804 data_time: 0.042448 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.804335 loss: 0.000609 2022/09/28 05:22:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:22:55 - mmengine - INFO - Epoch(train) [142][50/586] lr: 5.000000e-04 eta: 4:18:49 time: 0.405090 data_time: 0.044022 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.839477 loss: 0.000596 2022/09/28 05:23:14 - mmengine - INFO - Epoch(train) [142][100/586] lr: 5.000000e-04 eta: 4:18:30 time: 0.385166 data_time: 0.036656 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.851183 loss: 0.000590 2022/09/28 05:23:34 - mmengine - INFO - Epoch(train) [142][150/586] lr: 5.000000e-04 eta: 4:18:11 time: 0.396656 data_time: 0.038790 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.796436 loss: 0.000581 2022/09/28 05:23:54 - mmengine - INFO - Epoch(train) [142][200/586] lr: 5.000000e-04 eta: 4:17:52 time: 0.409139 data_time: 0.046230 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.912670 loss: 0.000583 2022/09/28 05:24:14 - mmengine - INFO - Epoch(train) [142][250/586] lr: 5.000000e-04 eta: 4:17:33 time: 0.392552 data_time: 0.034872 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.865866 loss: 0.000598 2022/09/28 05:24:34 - mmengine - INFO - Epoch(train) [142][300/586] lr: 5.000000e-04 eta: 4:17:14 time: 0.399673 data_time: 0.035148 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.807470 loss: 0.000585 2022/09/28 05:24:53 - mmengine - INFO - Epoch(train) [142][350/586] lr: 5.000000e-04 eta: 4:16:55 time: 0.382326 data_time: 0.040668 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.793869 loss: 0.000591 2022/09/28 05:25:03 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:25:12 - mmengine - INFO - Epoch(train) [142][400/586] lr: 5.000000e-04 eta: 4:16:36 time: 0.384210 data_time: 0.033276 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.823617 loss: 0.000607 2022/09/28 05:25:31 - mmengine - INFO - Epoch(train) [142][450/586] lr: 5.000000e-04 eta: 4:16:16 time: 0.379193 data_time: 0.036783 memory: 7071 loss_kpt: 0.000616 acc_pose: 0.814474 loss: 0.000616 2022/09/28 05:25:50 - mmengine - INFO - Epoch(train) [142][500/586] lr: 5.000000e-04 eta: 4:15:57 time: 0.381202 data_time: 0.035626 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.823136 loss: 0.000603 2022/09/28 05:26:10 - mmengine - INFO - Epoch(train) [142][550/586] lr: 5.000000e-04 eta: 4:15:38 time: 0.400189 data_time: 0.043345 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.825184 loss: 0.000595 2022/09/28 05:26:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:26:44 - mmengine - INFO - Epoch(train) [143][50/586] lr: 5.000000e-04 eta: 4:14:59 time: 0.391761 data_time: 0.042164 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.804135 loss: 0.000587 2022/09/28 05:27:03 - mmengine - INFO - Epoch(train) [143][100/586] lr: 5.000000e-04 eta: 4:14:39 time: 0.384033 data_time: 0.040597 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.757586 loss: 0.000602 2022/09/28 05:27:23 - mmengine - INFO - Epoch(train) [143][150/586] lr: 5.000000e-04 eta: 4:14:20 time: 0.383490 data_time: 0.032807 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.891393 loss: 0.000590 2022/09/28 05:27:42 - mmengine - INFO - Epoch(train) [143][200/586] lr: 5.000000e-04 eta: 4:14:01 time: 0.390220 data_time: 0.038287 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.871295 loss: 0.000587 2022/09/28 05:28:02 - mmengine - INFO - Epoch(train) [143][250/586] lr: 5.000000e-04 eta: 4:13:42 time: 0.387450 data_time: 0.041932 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.844879 loss: 0.000612 2022/09/28 05:28:21 - mmengine - INFO - Epoch(train) [143][300/586] lr: 5.000000e-04 eta: 4:13:23 time: 0.384704 data_time: 0.037618 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.789021 loss: 0.000605 2022/09/28 05:28:42 - mmengine - INFO - Epoch(train) [143][350/586] lr: 5.000000e-04 eta: 4:13:04 time: 0.414498 data_time: 0.046065 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.814876 loss: 0.000589 2022/09/28 05:29:01 - mmengine - INFO - Epoch(train) [143][400/586] lr: 5.000000e-04 eta: 4:12:45 time: 0.383935 data_time: 0.038794 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.859476 loss: 0.000598 2022/09/28 05:29:20 - mmengine - INFO - Epoch(train) [143][450/586] lr: 5.000000e-04 eta: 4:12:26 time: 0.384538 data_time: 0.032535 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.777463 loss: 0.000593 2022/09/28 05:29:40 - mmengine - INFO - Epoch(train) [143][500/586] lr: 5.000000e-04 eta: 4:12:07 time: 0.400767 data_time: 0.034706 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.822180 loss: 0.000609 2022/09/28 05:29:59 - mmengine - INFO - Epoch(train) [143][550/586] lr: 5.000000e-04 eta: 4:11:48 time: 0.380773 data_time: 0.029401 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.874776 loss: 0.000595 2022/09/28 05:30:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:30:33 - mmengine - INFO - Epoch(train) [144][50/586] lr: 5.000000e-04 eta: 4:11:09 time: 0.403037 data_time: 0.047301 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.880273 loss: 0.000604 2022/09/28 05:30:52 - mmengine - INFO - Epoch(train) [144][100/586] lr: 5.000000e-04 eta: 4:10:49 time: 0.381098 data_time: 0.033836 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.816988 loss: 0.000586 2022/09/28 05:31:11 - mmengine - INFO - Epoch(train) [144][150/586] lr: 5.000000e-04 eta: 4:10:30 time: 0.382257 data_time: 0.034688 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.844341 loss: 0.000595 2022/09/28 05:31:31 - mmengine - INFO - Epoch(train) [144][200/586] lr: 5.000000e-04 eta: 4:10:11 time: 0.392361 data_time: 0.035725 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.849246 loss: 0.000595 2022/09/28 05:31:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:31:52 - mmengine - INFO - Epoch(train) [144][250/586] lr: 5.000000e-04 eta: 4:09:52 time: 0.413759 data_time: 0.037958 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.844667 loss: 0.000599 2022/09/28 05:32:11 - mmengine - INFO - Epoch(train) [144][300/586] lr: 5.000000e-04 eta: 4:09:33 time: 0.381176 data_time: 0.032850 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.831206 loss: 0.000596 2022/09/28 05:32:30 - mmengine - INFO - Epoch(train) [144][350/586] lr: 5.000000e-04 eta: 4:09:14 time: 0.384924 data_time: 0.032119 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.867322 loss: 0.000591 2022/09/28 05:32:49 - mmengine - INFO - Epoch(train) [144][400/586] lr: 5.000000e-04 eta: 4:08:55 time: 0.386968 data_time: 0.042485 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.838557 loss: 0.000585 2022/09/28 05:33:10 - mmengine - INFO - Epoch(train) [144][450/586] lr: 5.000000e-04 eta: 4:08:36 time: 0.413938 data_time: 0.044882 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.811449 loss: 0.000603 2022/09/28 05:33:30 - mmengine - INFO - Epoch(train) [144][500/586] lr: 5.000000e-04 eta: 4:08:17 time: 0.394174 data_time: 0.031378 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.823560 loss: 0.000594 2022/09/28 05:33:49 - mmengine - INFO - Epoch(train) [144][550/586] lr: 5.000000e-04 eta: 4:07:58 time: 0.380490 data_time: 0.034580 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.850050 loss: 0.000600 2022/09/28 05:34:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:34:22 - mmengine - INFO - Epoch(train) [145][50/586] lr: 5.000000e-04 eta: 4:07:19 time: 0.394235 data_time: 0.046372 memory: 7071 loss_kpt: 0.000623 acc_pose: 0.811030 loss: 0.000623 2022/09/28 05:34:42 - mmengine - INFO - Epoch(train) [145][100/586] lr: 5.000000e-04 eta: 4:07:00 time: 0.394410 data_time: 0.043026 memory: 7071 loss_kpt: 0.000603 acc_pose: 0.831204 loss: 0.000603 2022/09/28 05:35:01 - mmengine - INFO - Epoch(train) [145][150/586] lr: 5.000000e-04 eta: 4:06:41 time: 0.384192 data_time: 0.037800 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.856785 loss: 0.000601 2022/09/28 05:35:21 - mmengine - INFO - Epoch(train) [145][200/586] lr: 5.000000e-04 eta: 4:06:22 time: 0.398680 data_time: 0.041697 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.807805 loss: 0.000587 2022/09/28 05:35:41 - mmengine - INFO - Epoch(train) [145][250/586] lr: 5.000000e-04 eta: 4:06:03 time: 0.397056 data_time: 0.033393 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.911872 loss: 0.000606 2022/09/28 05:36:00 - mmengine - INFO - Epoch(train) [145][300/586] lr: 5.000000e-04 eta: 4:05:44 time: 0.386350 data_time: 0.032018 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.880677 loss: 0.000599 2022/09/28 05:36:20 - mmengine - INFO - Epoch(train) [145][350/586] lr: 5.000000e-04 eta: 4:05:25 time: 0.396621 data_time: 0.041392 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.866384 loss: 0.000602 2022/09/28 05:36:40 - mmengine - INFO - Epoch(train) [145][400/586] lr: 5.000000e-04 eta: 4:05:06 time: 0.394699 data_time: 0.031638 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.844607 loss: 0.000593 2022/09/28 05:36:59 - mmengine - INFO - Epoch(train) [145][450/586] lr: 5.000000e-04 eta: 4:04:47 time: 0.394202 data_time: 0.039173 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.902153 loss: 0.000589 2022/09/28 05:37:19 - mmengine - INFO - Epoch(train) [145][500/586] lr: 5.000000e-04 eta: 4:04:28 time: 0.386262 data_time: 0.034525 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.834016 loss: 0.000582 2022/09/28 05:37:38 - mmengine - INFO - Epoch(train) [145][550/586] lr: 5.000000e-04 eta: 4:04:08 time: 0.387795 data_time: 0.032484 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.806428 loss: 0.000580 2022/09/28 05:37:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:38:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:38:12 - mmengine - INFO - Epoch(train) [146][50/586] lr: 5.000000e-04 eta: 4:03:30 time: 0.400326 data_time: 0.041717 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.848911 loss: 0.000581 2022/09/28 05:38:32 - mmengine - INFO - Epoch(train) [146][100/586] lr: 5.000000e-04 eta: 4:03:11 time: 0.394639 data_time: 0.040836 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.806784 loss: 0.000592 2022/09/28 05:38:51 - mmengine - INFO - Epoch(train) [146][150/586] lr: 5.000000e-04 eta: 4:02:51 time: 0.384923 data_time: 0.033321 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.935480 loss: 0.000605 2022/09/28 05:39:10 - mmengine - INFO - Epoch(train) [146][200/586] lr: 5.000000e-04 eta: 4:02:32 time: 0.378066 data_time: 0.033282 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.895226 loss: 0.000586 2022/09/28 05:39:30 - mmengine - INFO - Epoch(train) [146][250/586] lr: 5.000000e-04 eta: 4:02:13 time: 0.400907 data_time: 0.039466 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.867420 loss: 0.000580 2022/09/28 05:39:50 - mmengine - INFO - Epoch(train) [146][300/586] lr: 5.000000e-04 eta: 4:01:54 time: 0.383640 data_time: 0.032799 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.892644 loss: 0.000589 2022/09/28 05:40:09 - mmengine - INFO - Epoch(train) [146][350/586] lr: 5.000000e-04 eta: 4:01:35 time: 0.382527 data_time: 0.039841 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.829323 loss: 0.000589 2022/09/28 05:40:28 - mmengine - INFO - Epoch(train) [146][400/586] lr: 5.000000e-04 eta: 4:01:16 time: 0.389835 data_time: 0.031762 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.869774 loss: 0.000594 2022/09/28 05:40:47 - mmengine - INFO - Epoch(train) [146][450/586] lr: 5.000000e-04 eta: 4:00:57 time: 0.385739 data_time: 0.039599 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.868457 loss: 0.000594 2022/09/28 05:41:07 - mmengine - INFO - Epoch(train) [146][500/586] lr: 5.000000e-04 eta: 4:00:38 time: 0.400104 data_time: 0.032988 memory: 7071 loss_kpt: 0.000612 acc_pose: 0.892803 loss: 0.000612 2022/09/28 05:41:27 - mmengine - INFO - Epoch(train) [146][550/586] lr: 5.000000e-04 eta: 4:00:19 time: 0.383053 data_time: 0.034258 memory: 7071 loss_kpt: 0.000579 acc_pose: 0.857488 loss: 0.000579 2022/09/28 05:41:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:42:01 - mmengine - INFO - Epoch(train) [147][50/586] lr: 5.000000e-04 eta: 3:59:40 time: 0.407233 data_time: 0.036636 memory: 7071 loss_kpt: 0.000572 acc_pose: 0.799557 loss: 0.000572 2022/09/28 05:42:20 - mmengine - INFO - Epoch(train) [147][100/586] lr: 5.000000e-04 eta: 3:59:21 time: 0.390748 data_time: 0.031968 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.883752 loss: 0.000590 2022/09/28 05:42:40 - mmengine - INFO - Epoch(train) [147][150/586] lr: 5.000000e-04 eta: 3:59:02 time: 0.397761 data_time: 0.046897 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.834377 loss: 0.000586 2022/09/28 05:42:59 - mmengine - INFO - Epoch(train) [147][200/586] lr: 5.000000e-04 eta: 3:58:43 time: 0.376941 data_time: 0.040981 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.882395 loss: 0.000586 2022/09/28 05:43:19 - mmengine - INFO - Epoch(train) [147][250/586] lr: 5.000000e-04 eta: 3:58:24 time: 0.392754 data_time: 0.034792 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.852366 loss: 0.000584 2022/09/28 05:43:39 - mmengine - INFO - Epoch(train) [147][300/586] lr: 5.000000e-04 eta: 3:58:05 time: 0.396878 data_time: 0.032482 memory: 7071 loss_kpt: 0.000567 acc_pose: 0.861245 loss: 0.000567 2022/09/28 05:43:58 - mmengine - INFO - Epoch(train) [147][350/586] lr: 5.000000e-04 eta: 3:57:46 time: 0.389746 data_time: 0.033731 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.882292 loss: 0.000594 2022/09/28 05:44:18 - mmengine - INFO - Epoch(train) [147][400/586] lr: 5.000000e-04 eta: 3:57:27 time: 0.391176 data_time: 0.028337 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.818394 loss: 0.000595 2022/09/28 05:44:35 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:44:37 - mmengine - INFO - Epoch(train) [147][450/586] lr: 5.000000e-04 eta: 3:57:08 time: 0.394662 data_time: 0.035484 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.856242 loss: 0.000594 2022/09/28 05:44:58 - mmengine - INFO - Epoch(train) [147][500/586] lr: 5.000000e-04 eta: 3:56:49 time: 0.403069 data_time: 0.037171 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.838634 loss: 0.000598 2022/09/28 05:45:18 - mmengine - INFO - Epoch(train) [147][550/586] lr: 5.000000e-04 eta: 3:56:30 time: 0.404885 data_time: 0.039758 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.751299 loss: 0.000601 2022/09/28 05:45:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:45:52 - mmengine - INFO - Epoch(train) [148][50/586] lr: 5.000000e-04 eta: 3:55:52 time: 0.414957 data_time: 0.056616 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.807514 loss: 0.000595 2022/09/28 05:46:11 - mmengine - INFO - Epoch(train) [148][100/586] lr: 5.000000e-04 eta: 3:55:33 time: 0.378564 data_time: 0.032381 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.900699 loss: 0.000584 2022/09/28 05:46:31 - mmengine - INFO - Epoch(train) [148][150/586] lr: 5.000000e-04 eta: 3:55:14 time: 0.396487 data_time: 0.033374 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.820935 loss: 0.000583 2022/09/28 05:46:51 - mmengine - INFO - Epoch(train) [148][200/586] lr: 5.000000e-04 eta: 3:54:55 time: 0.393474 data_time: 0.029300 memory: 7071 loss_kpt: 0.000578 acc_pose: 0.837035 loss: 0.000578 2022/09/28 05:47:10 - mmengine - INFO - Epoch(train) [148][250/586] lr: 5.000000e-04 eta: 3:54:36 time: 0.397418 data_time: 0.050442 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.820732 loss: 0.000606 2022/09/28 05:47:30 - mmengine - INFO - Epoch(train) [148][300/586] lr: 5.000000e-04 eta: 3:54:17 time: 0.391336 data_time: 0.041469 memory: 7071 loss_kpt: 0.000595 acc_pose: 0.817792 loss: 0.000595 2022/09/28 05:47:49 - mmengine - INFO - Epoch(train) [148][350/586] lr: 5.000000e-04 eta: 3:53:58 time: 0.386910 data_time: 0.031670 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.880801 loss: 0.000589 2022/09/28 05:48:09 - mmengine - INFO - Epoch(train) [148][400/586] lr: 5.000000e-04 eta: 3:53:39 time: 0.392235 data_time: 0.037222 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.814414 loss: 0.000599 2022/09/28 05:48:28 - mmengine - INFO - Epoch(train) [148][450/586] lr: 5.000000e-04 eta: 3:53:19 time: 0.381689 data_time: 0.036581 memory: 7071 loss_kpt: 0.000571 acc_pose: 0.777990 loss: 0.000571 2022/09/28 05:48:47 - mmengine - INFO - Epoch(train) [148][500/586] lr: 5.000000e-04 eta: 3:53:00 time: 0.383828 data_time: 0.034644 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.882461 loss: 0.000598 2022/09/28 05:49:07 - mmengine - INFO - Epoch(train) [148][550/586] lr: 5.000000e-04 eta: 3:52:41 time: 0.393649 data_time: 0.050975 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.836307 loss: 0.000594 2022/09/28 05:49:21 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:49:41 - mmengine - INFO - Epoch(train) [149][50/586] lr: 5.000000e-04 eta: 3:52:03 time: 0.403897 data_time: 0.048966 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.786600 loss: 0.000601 2022/09/28 05:50:00 - mmengine - INFO - Epoch(train) [149][100/586] lr: 5.000000e-04 eta: 3:51:44 time: 0.384704 data_time: 0.034966 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.750636 loss: 0.000590 2022/09/28 05:50:20 - mmengine - INFO - Epoch(train) [149][150/586] lr: 5.000000e-04 eta: 3:51:24 time: 0.386637 data_time: 0.032569 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.832086 loss: 0.000588 2022/09/28 05:50:39 - mmengine - INFO - Epoch(train) [149][200/586] lr: 5.000000e-04 eta: 3:51:05 time: 0.384785 data_time: 0.034907 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.830283 loss: 0.000604 2022/09/28 05:50:58 - mmengine - INFO - Epoch(train) [149][250/586] lr: 5.000000e-04 eta: 3:50:46 time: 0.381857 data_time: 0.035004 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.882065 loss: 0.000588 2022/09/28 05:51:07 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:51:18 - mmengine - INFO - Epoch(train) [149][300/586] lr: 5.000000e-04 eta: 3:50:27 time: 0.403321 data_time: 0.038516 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.898890 loss: 0.000589 2022/09/28 05:51:38 - mmengine - INFO - Epoch(train) [149][350/586] lr: 5.000000e-04 eta: 3:50:08 time: 0.390868 data_time: 0.041007 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.828453 loss: 0.000596 2022/09/28 05:51:57 - mmengine - INFO - Epoch(train) [149][400/586] lr: 5.000000e-04 eta: 3:49:49 time: 0.384712 data_time: 0.039973 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.855968 loss: 0.000600 2022/09/28 05:52:16 - mmengine - INFO - Epoch(train) [149][450/586] lr: 5.000000e-04 eta: 3:49:30 time: 0.383743 data_time: 0.037335 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.902285 loss: 0.000596 2022/09/28 05:52:37 - mmengine - INFO - Epoch(train) [149][500/586] lr: 5.000000e-04 eta: 3:49:11 time: 0.409720 data_time: 0.034868 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.819689 loss: 0.000609 2022/09/28 05:52:56 - mmengine - INFO - Epoch(train) [149][550/586] lr: 5.000000e-04 eta: 3:48:52 time: 0.390518 data_time: 0.048712 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.840395 loss: 0.000598 2022/09/28 05:53:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:53:30 - mmengine - INFO - Epoch(train) [150][50/586] lr: 5.000000e-04 eta: 3:48:14 time: 0.407472 data_time: 0.040332 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.834180 loss: 0.000582 2022/09/28 05:53:49 - mmengine - INFO - Epoch(train) [150][100/586] lr: 5.000000e-04 eta: 3:47:55 time: 0.384597 data_time: 0.035003 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.861080 loss: 0.000598 2022/09/28 05:54:09 - mmengine - INFO - Epoch(train) [150][150/586] lr: 5.000000e-04 eta: 3:47:36 time: 0.397908 data_time: 0.041641 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.877899 loss: 0.000580 2022/09/28 05:54:35 - mmengine - INFO - Epoch(train) [150][200/586] lr: 5.000000e-04 eta: 3:47:20 time: 0.520491 data_time: 0.048669 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.834884 loss: 0.000596 2022/09/28 05:55:31 - mmengine - INFO - Epoch(train) [150][250/586] lr: 5.000000e-04 eta: 3:47:15 time: 1.118715 data_time: 0.064166 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.881152 loss: 0.000581 2022/09/28 05:56:27 - mmengine - INFO - Epoch(train) [150][300/586] lr: 5.000000e-04 eta: 3:47:11 time: 1.106246 data_time: 0.122093 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.878940 loss: 0.000585 2022/09/28 05:57:08 - mmengine - INFO - Epoch(train) [150][350/586] lr: 5.000000e-04 eta: 3:47:01 time: 0.837695 data_time: 0.040983 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.855951 loss: 0.000588 2022/09/28 05:57:30 - mmengine - INFO - Epoch(train) [150][400/586] lr: 5.000000e-04 eta: 3:46:42 time: 0.424618 data_time: 0.035792 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.774688 loss: 0.000598 2022/09/28 05:57:50 - mmengine - INFO - Epoch(train) [150][450/586] lr: 5.000000e-04 eta: 3:46:23 time: 0.414503 data_time: 0.040629 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.863460 loss: 0.000585 2022/09/28 05:58:11 - mmengine - INFO - Epoch(train) [150][500/586] lr: 5.000000e-04 eta: 3:46:05 time: 0.404935 data_time: 0.037445 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.876543 loss: 0.000592 2022/09/28 05:58:33 - mmengine - INFO - Epoch(train) [150][550/586] lr: 5.000000e-04 eta: 3:45:47 time: 0.443669 data_time: 0.031496 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.886524 loss: 0.000590 2022/09/28 05:58:47 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 05:58:48 - mmengine - INFO - Saving checkpoint at 150 epochs 2022/09/28 05:59:14 - mmengine - INFO - Epoch(val) [150][50/407] eta: 0:02:10 time: 0.365504 data_time: 0.170816 memory: 7071 2022/09/28 05:59:32 - mmengine - INFO - Epoch(val) [150][100/407] eta: 0:01:45 time: 0.344267 data_time: 0.158705 memory: 1674 2022/09/28 05:59:48 - mmengine - INFO - Epoch(val) [150][150/407] eta: 0:01:26 time: 0.336184 data_time: 0.132660 memory: 1674 2022/09/28 06:00:06 - mmengine - INFO - Epoch(val) [150][200/407] eta: 0:01:10 time: 0.342150 data_time: 0.120853 memory: 1674 2022/09/28 06:00:22 - mmengine - INFO - Epoch(val) [150][250/407] eta: 0:00:51 time: 0.330790 data_time: 0.126849 memory: 1674 2022/09/28 06:00:38 - mmengine - INFO - Epoch(val) [150][300/407] eta: 0:00:34 time: 0.327081 data_time: 0.120269 memory: 1674 2022/09/28 06:00:55 - mmengine - INFO - Epoch(val) [150][350/407] eta: 0:00:18 time: 0.327866 data_time: 0.143987 memory: 1674 2022/09/28 06:01:05 - mmengine - INFO - Epoch(val) [150][400/407] eta: 0:00:01 time: 0.195780 data_time: 0.084704 memory: 1674 2022/09/28 06:01:36 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 06:01:49 - mmengine - INFO - Epoch(val) [150][407/407] coco/AP: 0.721226 coco/AP .5: 0.895077 coco/AP .75: 0.804973 coco/AP (M): 0.685986 coco/AP (L): 0.788602 coco/AR: 0.778275 coco/AR .5: 0.934666 coco/AR .75: 0.852960 coco/AR (M): 0.735619 coco/AR (L): 0.839391 2022/09/28 06:01:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_130.pth is removed 2022/09/28 06:01:52 - mmengine - INFO - The best checkpoint with 0.7212 coco/AP at 150 epoch is saved to best_coco/AP_epoch_150.pth. 2022/09/28 06:02:12 - mmengine - INFO - Epoch(train) [151][50/586] lr: 5.000000e-04 eta: 3:45:08 time: 0.400817 data_time: 0.043265 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.864481 loss: 0.000600 2022/09/28 06:02:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:02:32 - mmengine - INFO - Epoch(train) [151][100/586] lr: 5.000000e-04 eta: 3:44:49 time: 0.393492 data_time: 0.034097 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.773603 loss: 0.000599 2022/09/28 06:02:52 - mmengine - INFO - Epoch(train) [151][150/586] lr: 5.000000e-04 eta: 3:44:30 time: 0.409389 data_time: 0.032075 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.846501 loss: 0.000599 2022/09/28 06:03:12 - mmengine - INFO - Epoch(train) [151][200/586] lr: 5.000000e-04 eta: 3:44:11 time: 0.386807 data_time: 0.032704 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.785740 loss: 0.000587 2022/09/28 06:03:31 - mmengine - INFO - Epoch(train) [151][250/586] lr: 5.000000e-04 eta: 3:43:52 time: 0.395550 data_time: 0.033015 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.877063 loss: 0.000601 2022/09/28 06:03:54 - mmengine - INFO - Epoch(train) [151][300/586] lr: 5.000000e-04 eta: 3:43:34 time: 0.458418 data_time: 0.038035 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.803823 loss: 0.000590 2022/09/28 06:04:14 - mmengine - INFO - Epoch(train) [151][350/586] lr: 5.000000e-04 eta: 3:43:15 time: 0.395679 data_time: 0.029103 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.808354 loss: 0.000593 2022/09/28 06:04:34 - mmengine - INFO - Epoch(train) [151][400/586] lr: 5.000000e-04 eta: 3:42:56 time: 0.391972 data_time: 0.039653 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.898631 loss: 0.000580 2022/09/28 06:04:54 - mmengine - INFO - Epoch(train) [151][450/586] lr: 5.000000e-04 eta: 3:42:38 time: 0.410364 data_time: 0.030804 memory: 7071 loss_kpt: 0.000609 acc_pose: 0.836516 loss: 0.000609 2022/09/28 06:05:16 - mmengine - INFO - Epoch(train) [151][500/586] lr: 5.000000e-04 eta: 3:42:19 time: 0.438849 data_time: 0.035932 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.873352 loss: 0.000588 2022/09/28 06:05:36 - mmengine - INFO - Epoch(train) [151][550/586] lr: 5.000000e-04 eta: 3:42:00 time: 0.401001 data_time: 0.048871 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.873798 loss: 0.000592 2022/09/28 06:05:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:06:10 - mmengine - INFO - Epoch(train) [152][50/586] lr: 5.000000e-04 eta: 3:41:22 time: 0.396229 data_time: 0.044739 memory: 7071 loss_kpt: 0.000570 acc_pose: 0.831456 loss: 0.000570 2022/09/28 06:06:29 - mmengine - INFO - Epoch(train) [152][100/586] lr: 5.000000e-04 eta: 3:41:03 time: 0.382354 data_time: 0.037419 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.893680 loss: 0.000593 2022/09/28 06:06:49 - mmengine - INFO - Epoch(train) [152][150/586] lr: 5.000000e-04 eta: 3:40:44 time: 0.392969 data_time: 0.036746 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.891210 loss: 0.000593 2022/09/28 06:07:09 - mmengine - INFO - Epoch(train) [152][200/586] lr: 5.000000e-04 eta: 3:40:25 time: 0.404107 data_time: 0.044764 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.857843 loss: 0.000581 2022/09/28 06:07:29 - mmengine - INFO - Epoch(train) [152][250/586] lr: 5.000000e-04 eta: 3:40:06 time: 0.394873 data_time: 0.030879 memory: 7071 loss_kpt: 0.000577 acc_pose: 0.810849 loss: 0.000577 2022/09/28 06:07:48 - mmengine - INFO - Epoch(train) [152][300/586] lr: 5.000000e-04 eta: 3:39:47 time: 0.385271 data_time: 0.031825 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.888696 loss: 0.000587 2022/09/28 06:08:08 - mmengine - INFO - Epoch(train) [152][350/586] lr: 5.000000e-04 eta: 3:39:28 time: 0.395770 data_time: 0.036224 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.844129 loss: 0.000593 2022/09/28 06:08:28 - mmengine - INFO - Epoch(train) [152][400/586] lr: 5.000000e-04 eta: 3:39:09 time: 0.401675 data_time: 0.040918 memory: 7071 loss_kpt: 0.000597 acc_pose: 0.819849 loss: 0.000597 2022/09/28 06:08:48 - mmengine - INFO - Epoch(train) [152][450/586] lr: 5.000000e-04 eta: 3:38:50 time: 0.399626 data_time: 0.031771 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.864861 loss: 0.000596 2022/09/28 06:09:08 - mmengine - INFO - Epoch(train) [152][500/586] lr: 5.000000e-04 eta: 3:38:31 time: 0.397926 data_time: 0.035289 memory: 7071 loss_kpt: 0.000610 acc_pose: 0.871181 loss: 0.000610 2022/09/28 06:09:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:09:27 - mmengine - INFO - Epoch(train) [152][550/586] lr: 5.000000e-04 eta: 3:38:11 time: 0.377139 data_time: 0.031898 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.882804 loss: 0.000601 2022/09/28 06:09:41 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:10:01 - mmengine - INFO - Epoch(train) [153][50/586] lr: 5.000000e-04 eta: 3:37:33 time: 0.403133 data_time: 0.043503 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.845716 loss: 0.000590 2022/09/28 06:10:21 - mmengine - INFO - Epoch(train) [153][100/586] lr: 5.000000e-04 eta: 3:37:15 time: 0.405526 data_time: 0.030432 memory: 7071 loss_kpt: 0.000561 acc_pose: 0.869695 loss: 0.000561 2022/09/28 06:10:41 - mmengine - INFO - Epoch(train) [153][150/586] lr: 5.000000e-04 eta: 3:36:55 time: 0.388488 data_time: 0.035636 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.864378 loss: 0.000601 2022/09/28 06:11:00 - mmengine - INFO - Epoch(train) [153][200/586] lr: 5.000000e-04 eta: 3:36:36 time: 0.388910 data_time: 0.030575 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.833203 loss: 0.000587 2022/09/28 06:11:19 - mmengine - INFO - Epoch(train) [153][250/586] lr: 5.000000e-04 eta: 3:36:17 time: 0.384632 data_time: 0.039948 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.867403 loss: 0.000581 2022/09/28 06:11:40 - mmengine - INFO - Epoch(train) [153][300/586] lr: 5.000000e-04 eta: 3:35:58 time: 0.409377 data_time: 0.039975 memory: 7071 loss_kpt: 0.000569 acc_pose: 0.873699 loss: 0.000569 2022/09/28 06:11:59 - mmengine - INFO - Epoch(train) [153][350/586] lr: 5.000000e-04 eta: 3:35:39 time: 0.390228 data_time: 0.039986 memory: 7071 loss_kpt: 0.000579 acc_pose: 0.847321 loss: 0.000579 2022/09/28 06:12:19 - mmengine - INFO - Epoch(train) [153][400/586] lr: 5.000000e-04 eta: 3:35:20 time: 0.395524 data_time: 0.039589 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.870601 loss: 0.000590 2022/09/28 06:12:39 - mmengine - INFO - Epoch(train) [153][450/586] lr: 5.000000e-04 eta: 3:35:01 time: 0.385714 data_time: 0.039664 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.898377 loss: 0.000593 2022/09/28 06:12:58 - mmengine - INFO - Epoch(train) [153][500/586] lr: 5.000000e-04 eta: 3:34:42 time: 0.396151 data_time: 0.031206 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.789430 loss: 0.000593 2022/09/28 06:13:18 - mmengine - INFO - Epoch(train) [153][550/586] lr: 5.000000e-04 eta: 3:34:23 time: 0.391883 data_time: 0.034675 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.868867 loss: 0.000591 2022/09/28 06:13:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:13:52 - mmengine - INFO - Epoch(train) [154][50/586] lr: 5.000000e-04 eta: 3:33:45 time: 0.398898 data_time: 0.048277 memory: 7071 loss_kpt: 0.000572 acc_pose: 0.918837 loss: 0.000572 2022/09/28 06:14:11 - mmengine - INFO - Epoch(train) [154][100/586] lr: 5.000000e-04 eta: 3:33:26 time: 0.388045 data_time: 0.032662 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.800886 loss: 0.000581 2022/09/28 06:14:30 - mmengine - INFO - Epoch(train) [154][150/586] lr: 5.000000e-04 eta: 3:33:06 time: 0.381410 data_time: 0.030220 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.875430 loss: 0.000589 2022/09/28 06:14:50 - mmengine - INFO - Epoch(train) [154][200/586] lr: 5.000000e-04 eta: 3:32:47 time: 0.389694 data_time: 0.037234 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.830822 loss: 0.000585 2022/09/28 06:15:10 - mmengine - INFO - Epoch(train) [154][250/586] lr: 5.000000e-04 eta: 3:32:28 time: 0.397038 data_time: 0.033409 memory: 7071 loss_kpt: 0.000568 acc_pose: 0.854882 loss: 0.000568 2022/09/28 06:15:29 - mmengine - INFO - Epoch(train) [154][300/586] lr: 5.000000e-04 eta: 3:32:09 time: 0.394445 data_time: 0.033638 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.867638 loss: 0.000576 2022/09/28 06:15:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:15:49 - mmengine - INFO - Epoch(train) [154][350/586] lr: 5.000000e-04 eta: 3:31:50 time: 0.388805 data_time: 0.032889 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.786154 loss: 0.000582 2022/09/28 06:16:09 - mmengine - INFO - Epoch(train) [154][400/586] lr: 5.000000e-04 eta: 3:31:31 time: 0.395940 data_time: 0.040144 memory: 7071 loss_kpt: 0.000577 acc_pose: 0.891017 loss: 0.000577 2022/09/28 06:16:28 - mmengine - INFO - Epoch(train) [154][450/586] lr: 5.000000e-04 eta: 3:31:12 time: 0.387859 data_time: 0.033841 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.831110 loss: 0.000583 2022/09/28 06:16:48 - mmengine - INFO - Epoch(train) [154][500/586] lr: 5.000000e-04 eta: 3:30:53 time: 0.394312 data_time: 0.039899 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.837534 loss: 0.000590 2022/09/28 06:17:07 - mmengine - INFO - Epoch(train) [154][550/586] lr: 5.000000e-04 eta: 3:30:34 time: 0.395364 data_time: 0.030696 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.889880 loss: 0.000588 2022/09/28 06:17:22 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:17:43 - mmengine - INFO - Epoch(train) [155][50/586] lr: 5.000000e-04 eta: 3:29:56 time: 0.410414 data_time: 0.041244 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.767276 loss: 0.000588 2022/09/28 06:18:02 - mmengine - INFO - Epoch(train) [155][100/586] lr: 5.000000e-04 eta: 3:29:37 time: 0.386475 data_time: 0.040057 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.847246 loss: 0.000594 2022/09/28 06:18:21 - mmengine - INFO - Epoch(train) [155][150/586] lr: 5.000000e-04 eta: 3:29:18 time: 0.383573 data_time: 0.034808 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.889922 loss: 0.000596 2022/09/28 06:18:41 - mmengine - INFO - Epoch(train) [155][200/586] lr: 5.000000e-04 eta: 3:28:59 time: 0.400641 data_time: 0.030907 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.888746 loss: 0.000592 2022/09/28 06:19:00 - mmengine - INFO - Epoch(train) [155][250/586] lr: 5.000000e-04 eta: 3:28:40 time: 0.387128 data_time: 0.028219 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.882733 loss: 0.000602 2022/09/28 06:19:20 - mmengine - INFO - Epoch(train) [155][300/586] lr: 5.000000e-04 eta: 3:28:20 time: 0.391382 data_time: 0.032892 memory: 7071 loss_kpt: 0.000566 acc_pose: 0.850039 loss: 0.000566 2022/09/28 06:19:39 - mmengine - INFO - Epoch(train) [155][350/586] lr: 5.000000e-04 eta: 3:28:01 time: 0.386146 data_time: 0.048014 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.914238 loss: 0.000581 2022/09/28 06:19:59 - mmengine - INFO - Epoch(train) [155][400/586] lr: 5.000000e-04 eta: 3:27:42 time: 0.390964 data_time: 0.032729 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.836334 loss: 0.000604 2022/09/28 06:20:19 - mmengine - INFO - Epoch(train) [155][450/586] lr: 5.000000e-04 eta: 3:27:23 time: 0.407617 data_time: 0.031512 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.871118 loss: 0.000591 2022/09/28 06:20:39 - mmengine - INFO - Epoch(train) [155][500/586] lr: 5.000000e-04 eta: 3:27:04 time: 0.386711 data_time: 0.035945 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.820703 loss: 0.000576 2022/09/28 06:20:59 - mmengine - INFO - Epoch(train) [155][550/586] lr: 5.000000e-04 eta: 3:26:45 time: 0.397334 data_time: 0.038003 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.856897 loss: 0.000576 2022/09/28 06:21:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:21:33 - mmengine - INFO - Epoch(train) [156][50/586] lr: 5.000000e-04 eta: 3:26:08 time: 0.404279 data_time: 0.044009 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.872997 loss: 0.000602 2022/09/28 06:21:53 - mmengine - INFO - Epoch(train) [156][100/586] lr: 5.000000e-04 eta: 3:25:49 time: 0.395703 data_time: 0.032804 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.893780 loss: 0.000587 2022/09/28 06:22:12 - mmengine - INFO - Epoch(train) [156][150/586] lr: 5.000000e-04 eta: 3:25:29 time: 0.385799 data_time: 0.031828 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.834930 loss: 0.000586 2022/09/28 06:22:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:22:31 - mmengine - INFO - Epoch(train) [156][200/586] lr: 5.000000e-04 eta: 3:25:10 time: 0.384223 data_time: 0.033369 memory: 7071 loss_kpt: 0.000596 acc_pose: 0.876127 loss: 0.000596 2022/09/28 06:22:50 - mmengine - INFO - Epoch(train) [156][250/586] lr: 5.000000e-04 eta: 3:24:51 time: 0.378659 data_time: 0.032656 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.847764 loss: 0.000588 2022/09/28 06:23:09 - mmengine - INFO - Epoch(train) [156][300/586] lr: 5.000000e-04 eta: 3:24:32 time: 0.389081 data_time: 0.036196 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.861644 loss: 0.000581 2022/09/28 06:23:29 - mmengine - INFO - Epoch(train) [156][350/586] lr: 5.000000e-04 eta: 3:24:13 time: 0.390343 data_time: 0.038048 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.899251 loss: 0.000593 2022/09/28 06:23:48 - mmengine - INFO - Epoch(train) [156][400/586] lr: 5.000000e-04 eta: 3:23:53 time: 0.376342 data_time: 0.034922 memory: 7071 loss_kpt: 0.000568 acc_pose: 0.888468 loss: 0.000568 2022/09/28 06:24:07 - mmengine - INFO - Epoch(train) [156][450/586] lr: 5.000000e-04 eta: 3:23:34 time: 0.381634 data_time: 0.032980 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.810092 loss: 0.000594 2022/09/28 06:24:26 - mmengine - INFO - Epoch(train) [156][500/586] lr: 5.000000e-04 eta: 3:23:15 time: 0.379949 data_time: 0.031366 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.829356 loss: 0.000587 2022/09/28 06:24:45 - mmengine - INFO - Epoch(train) [156][550/586] lr: 5.000000e-04 eta: 3:22:55 time: 0.384268 data_time: 0.034435 memory: 7071 loss_kpt: 0.000606 acc_pose: 0.880745 loss: 0.000606 2022/09/28 06:24:59 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:25:19 - mmengine - INFO - Epoch(train) [157][50/586] lr: 5.000000e-04 eta: 3:22:18 time: 0.396772 data_time: 0.037869 memory: 7071 loss_kpt: 0.000563 acc_pose: 0.862075 loss: 0.000563 2022/09/28 06:25:38 - mmengine - INFO - Epoch(train) [157][100/586] lr: 5.000000e-04 eta: 3:21:59 time: 0.378943 data_time: 0.029963 memory: 7071 loss_kpt: 0.000577 acc_pose: 0.852892 loss: 0.000577 2022/09/28 06:25:57 - mmengine - INFO - Epoch(train) [157][150/586] lr: 5.000000e-04 eta: 3:21:39 time: 0.385059 data_time: 0.038357 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.865868 loss: 0.000582 2022/09/28 06:26:17 - mmengine - INFO - Epoch(train) [157][200/586] lr: 5.000000e-04 eta: 3:21:20 time: 0.385847 data_time: 0.034345 memory: 7071 loss_kpt: 0.000572 acc_pose: 0.836000 loss: 0.000572 2022/09/28 06:26:36 - mmengine - INFO - Epoch(train) [157][250/586] lr: 5.000000e-04 eta: 3:21:01 time: 0.389367 data_time: 0.032977 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.880359 loss: 0.000586 2022/09/28 06:26:55 - mmengine - INFO - Epoch(train) [157][300/586] lr: 5.000000e-04 eta: 3:20:42 time: 0.381511 data_time: 0.038785 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.850196 loss: 0.000585 2022/09/28 06:27:15 - mmengine - INFO - Epoch(train) [157][350/586] lr: 5.000000e-04 eta: 3:20:23 time: 0.391402 data_time: 0.032911 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.847600 loss: 0.000576 2022/09/28 06:27:34 - mmengine - INFO - Epoch(train) [157][400/586] lr: 5.000000e-04 eta: 3:20:03 time: 0.379595 data_time: 0.034542 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.795781 loss: 0.000594 2022/09/28 06:27:53 - mmengine - INFO - Epoch(train) [157][450/586] lr: 5.000000e-04 eta: 3:19:44 time: 0.384425 data_time: 0.030620 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.782419 loss: 0.000594 2022/09/28 06:28:12 - mmengine - INFO - Epoch(train) [157][500/586] lr: 5.000000e-04 eta: 3:19:25 time: 0.388325 data_time: 0.028771 memory: 7071 loss_kpt: 0.000604 acc_pose: 0.886702 loss: 0.000604 2022/09/28 06:28:31 - mmengine - INFO - Epoch(train) [157][550/586] lr: 5.000000e-04 eta: 3:19:06 time: 0.371600 data_time: 0.031336 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.875683 loss: 0.000592 2022/09/28 06:28:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:28:45 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:29:05 - mmengine - INFO - Epoch(train) [158][50/586] lr: 5.000000e-04 eta: 3:18:28 time: 0.402235 data_time: 0.046666 memory: 7071 loss_kpt: 0.000572 acc_pose: 0.860424 loss: 0.000572 2022/09/28 06:29:24 - mmengine - INFO - Epoch(train) [158][100/586] lr: 5.000000e-04 eta: 3:18:09 time: 0.377027 data_time: 0.037980 memory: 7071 loss_kpt: 0.000575 acc_pose: 0.870481 loss: 0.000575 2022/09/28 06:29:43 - mmengine - INFO - Epoch(train) [158][150/586] lr: 5.000000e-04 eta: 3:17:50 time: 0.373370 data_time: 0.039919 memory: 7071 loss_kpt: 0.000570 acc_pose: 0.879282 loss: 0.000570 2022/09/28 06:30:01 - mmengine - INFO - Epoch(train) [158][200/586] lr: 5.000000e-04 eta: 3:17:30 time: 0.378565 data_time: 0.032235 memory: 7071 loss_kpt: 0.000574 acc_pose: 0.787845 loss: 0.000574 2022/09/28 06:30:21 - mmengine - INFO - Epoch(train) [158][250/586] lr: 5.000000e-04 eta: 3:17:11 time: 0.394792 data_time: 0.035782 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.851016 loss: 0.000592 2022/09/28 06:30:41 - mmengine - INFO - Epoch(train) [158][300/586] lr: 5.000000e-04 eta: 3:16:52 time: 0.386856 data_time: 0.031622 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.847065 loss: 0.000584 2022/09/28 06:31:01 - mmengine - INFO - Epoch(train) [158][350/586] lr: 5.000000e-04 eta: 3:16:33 time: 0.400728 data_time: 0.040035 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.816727 loss: 0.000589 2022/09/28 06:31:20 - mmengine - INFO - Epoch(train) [158][400/586] lr: 5.000000e-04 eta: 3:16:14 time: 0.397424 data_time: 0.031555 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.824106 loss: 0.000581 2022/09/28 06:31:40 - mmengine - INFO - Epoch(train) [158][450/586] lr: 5.000000e-04 eta: 3:15:55 time: 0.387806 data_time: 0.032511 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.823255 loss: 0.000581 2022/09/28 06:32:00 - mmengine - INFO - Epoch(train) [158][500/586] lr: 5.000000e-04 eta: 3:15:36 time: 0.392924 data_time: 0.035237 memory: 7071 loss_kpt: 0.000607 acc_pose: 0.777474 loss: 0.000607 2022/09/28 06:32:18 - mmengine - INFO - Epoch(train) [158][550/586] lr: 5.000000e-04 eta: 3:15:17 time: 0.376566 data_time: 0.030349 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.894072 loss: 0.000583 2022/09/28 06:32:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:32:52 - mmengine - INFO - Epoch(train) [159][50/586] lr: 5.000000e-04 eta: 3:14:39 time: 0.393504 data_time: 0.043852 memory: 7071 loss_kpt: 0.000568 acc_pose: 0.899187 loss: 0.000568 2022/09/28 06:33:12 - mmengine - INFO - Epoch(train) [159][100/586] lr: 5.000000e-04 eta: 3:14:20 time: 0.391120 data_time: 0.036483 memory: 7071 loss_kpt: 0.000579 acc_pose: 0.894047 loss: 0.000579 2022/09/28 06:33:31 - mmengine - INFO - Epoch(train) [159][150/586] lr: 5.000000e-04 eta: 3:14:01 time: 0.392742 data_time: 0.033663 memory: 7071 loss_kpt: 0.000605 acc_pose: 0.866945 loss: 0.000605 2022/09/28 06:33:51 - mmengine - INFO - Epoch(train) [159][200/586] lr: 5.000000e-04 eta: 3:13:42 time: 0.392415 data_time: 0.030303 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.831389 loss: 0.000582 2022/09/28 06:34:10 - mmengine - INFO - Epoch(train) [159][250/586] lr: 5.000000e-04 eta: 3:13:23 time: 0.377878 data_time: 0.040317 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.876361 loss: 0.000587 2022/09/28 06:34:29 - mmengine - INFO - Epoch(train) [159][300/586] lr: 5.000000e-04 eta: 3:13:04 time: 0.385486 data_time: 0.038532 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.836936 loss: 0.000587 2022/09/28 06:34:49 - mmengine - INFO - Epoch(train) [159][350/586] lr: 5.000000e-04 eta: 3:12:45 time: 0.393447 data_time: 0.030297 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.858850 loss: 0.000600 2022/09/28 06:35:08 - mmengine - INFO - Epoch(train) [159][400/586] lr: 5.000000e-04 eta: 3:12:25 time: 0.389202 data_time: 0.033833 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.865805 loss: 0.000589 2022/09/28 06:35:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:35:28 - mmengine - INFO - Epoch(train) [159][450/586] lr: 5.000000e-04 eta: 3:12:06 time: 0.393918 data_time: 0.039887 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.845835 loss: 0.000591 2022/09/28 06:35:48 - mmengine - INFO - Epoch(train) [159][500/586] lr: 5.000000e-04 eta: 3:11:47 time: 0.404248 data_time: 0.033233 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.920485 loss: 0.000580 2022/09/28 06:36:08 - mmengine - INFO - Epoch(train) [159][550/586] lr: 5.000000e-04 eta: 3:11:29 time: 0.396899 data_time: 0.033324 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.802774 loss: 0.000585 2022/09/28 06:36:22 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:36:42 - mmengine - INFO - Epoch(train) [160][50/586] lr: 5.000000e-04 eta: 3:10:51 time: 0.405533 data_time: 0.039752 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.838259 loss: 0.000583 2022/09/28 06:37:02 - mmengine - INFO - Epoch(train) [160][100/586] lr: 5.000000e-04 eta: 3:10:32 time: 0.393279 data_time: 0.032950 memory: 7071 loss_kpt: 0.000569 acc_pose: 0.853535 loss: 0.000569 2022/09/28 06:37:22 - mmengine - INFO - Epoch(train) [160][150/586] lr: 5.000000e-04 eta: 3:10:13 time: 0.397507 data_time: 0.032306 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.796583 loss: 0.000585 2022/09/28 06:37:41 - mmengine - INFO - Epoch(train) [160][200/586] lr: 5.000000e-04 eta: 3:09:54 time: 0.386029 data_time: 0.035777 memory: 7071 loss_kpt: 0.000570 acc_pose: 0.861682 loss: 0.000570 2022/09/28 06:38:01 - mmengine - INFO - Epoch(train) [160][250/586] lr: 5.000000e-04 eta: 3:09:35 time: 0.405880 data_time: 0.044329 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.912246 loss: 0.000582 2022/09/28 06:38:21 - mmengine - INFO - Epoch(train) [160][300/586] lr: 5.000000e-04 eta: 3:09:16 time: 0.386430 data_time: 0.034831 memory: 7071 loss_kpt: 0.000556 acc_pose: 0.892241 loss: 0.000556 2022/09/28 06:38:40 - mmengine - INFO - Epoch(train) [160][350/586] lr: 5.000000e-04 eta: 3:08:57 time: 0.379195 data_time: 0.033422 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.859778 loss: 0.000588 2022/09/28 06:38:59 - mmengine - INFO - Epoch(train) [160][400/586] lr: 5.000000e-04 eta: 3:08:38 time: 0.385548 data_time: 0.035299 memory: 7071 loss_kpt: 0.000577 acc_pose: 0.783466 loss: 0.000577 2022/09/28 06:39:18 - mmengine - INFO - Epoch(train) [160][450/586] lr: 5.000000e-04 eta: 3:08:19 time: 0.380294 data_time: 0.031720 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.854350 loss: 0.000586 2022/09/28 06:39:38 - mmengine - INFO - Epoch(train) [160][500/586] lr: 5.000000e-04 eta: 3:07:59 time: 0.390619 data_time: 0.032004 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.840623 loss: 0.000583 2022/09/28 06:39:56 - mmengine - INFO - Epoch(train) [160][550/586] lr: 5.000000e-04 eta: 3:07:40 time: 0.378227 data_time: 0.033043 memory: 7071 loss_kpt: 0.000572 acc_pose: 0.862370 loss: 0.000572 2022/09/28 06:40:10 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:40:10 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/09/28 06:40:33 - mmengine - INFO - Epoch(val) [160][50/407] eta: 0:01:57 time: 0.329697 data_time: 0.123497 memory: 7071 2022/09/28 06:40:50 - mmengine - INFO - Epoch(val) [160][100/407] eta: 0:01:41 time: 0.332233 data_time: 0.141528 memory: 1674 2022/09/28 06:41:07 - mmengine - INFO - Epoch(val) [160][150/407] eta: 0:01:27 time: 0.341257 data_time: 0.138432 memory: 1674 2022/09/28 06:41:23 - mmengine - INFO - Epoch(val) [160][200/407] eta: 0:01:05 time: 0.317782 data_time: 0.110081 memory: 1674 2022/09/28 06:41:39 - mmengine - INFO - Epoch(val) [160][250/407] eta: 0:00:51 time: 0.329451 data_time: 0.121836 memory: 1674 2022/09/28 06:41:57 - mmengine - INFO - Epoch(val) [160][300/407] eta: 0:00:37 time: 0.349082 data_time: 0.145972 memory: 1674 2022/09/28 06:42:14 - mmengine - INFO - Epoch(val) [160][350/407] eta: 0:00:19 time: 0.339883 data_time: 0.135241 memory: 1674 2022/09/28 06:42:24 - mmengine - INFO - Epoch(val) [160][400/407] eta: 0:00:01 time: 0.197475 data_time: 0.091948 memory: 1674 2022/09/28 06:42:55 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 06:43:08 - mmengine - INFO - Epoch(val) [160][407/407] coco/AP: 0.720160 coco/AP .5: 0.894741 coco/AP .75: 0.802622 coco/AP (M): 0.684226 coco/AP (L): 0.789621 coco/AR: 0.778275 coco/AR .5: 0.936555 coco/AR .75: 0.850283 coco/AR (M): 0.734690 coco/AR (L): 0.840803 2022/09/28 06:43:29 - mmengine - INFO - Epoch(train) [161][50/586] lr: 5.000000e-04 eta: 3:07:03 time: 0.412779 data_time: 0.037544 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.878970 loss: 0.000589 2022/09/28 06:43:48 - mmengine - INFO - Epoch(train) [161][100/586] lr: 5.000000e-04 eta: 3:06:44 time: 0.381316 data_time: 0.041160 memory: 7071 loss_kpt: 0.000575 acc_pose: 0.901257 loss: 0.000575 2022/09/28 06:44:07 - mmengine - INFO - Epoch(train) [161][150/586] lr: 5.000000e-04 eta: 3:06:25 time: 0.383568 data_time: 0.036359 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.833337 loss: 0.000582 2022/09/28 06:44:27 - mmengine - INFO - Epoch(train) [161][200/586] lr: 5.000000e-04 eta: 3:06:06 time: 0.388150 data_time: 0.035294 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.802899 loss: 0.000582 2022/09/28 06:44:42 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:44:46 - mmengine - INFO - Epoch(train) [161][250/586] lr: 5.000000e-04 eta: 3:05:47 time: 0.388652 data_time: 0.032414 memory: 7071 loss_kpt: 0.000602 acc_pose: 0.803707 loss: 0.000602 2022/09/28 06:45:06 - mmengine - INFO - Epoch(train) [161][300/586] lr: 5.000000e-04 eta: 3:05:28 time: 0.388691 data_time: 0.030195 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.806807 loss: 0.000576 2022/09/28 06:45:25 - mmengine - INFO - Epoch(train) [161][350/586] lr: 5.000000e-04 eta: 3:05:08 time: 0.385661 data_time: 0.036642 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.812068 loss: 0.000589 2022/09/28 06:45:44 - mmengine - INFO - Epoch(train) [161][400/586] lr: 5.000000e-04 eta: 3:04:49 time: 0.383257 data_time: 0.038991 memory: 7071 loss_kpt: 0.000578 acc_pose: 0.760326 loss: 0.000578 2022/09/28 06:46:04 - mmengine - INFO - Epoch(train) [161][450/586] lr: 5.000000e-04 eta: 3:04:30 time: 0.404981 data_time: 0.038513 memory: 7071 loss_kpt: 0.000578 acc_pose: 0.800972 loss: 0.000578 2022/09/28 06:46:24 - mmengine - INFO - Epoch(train) [161][500/586] lr: 5.000000e-04 eta: 3:04:11 time: 0.385515 data_time: 0.038900 memory: 7071 loss_kpt: 0.000569 acc_pose: 0.853040 loss: 0.000569 2022/09/28 06:46:44 - mmengine - INFO - Epoch(train) [161][550/586] lr: 5.000000e-04 eta: 3:03:52 time: 0.405782 data_time: 0.035198 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.859202 loss: 0.000589 2022/09/28 06:46:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:47:18 - mmengine - INFO - Epoch(train) [162][50/586] lr: 5.000000e-04 eta: 3:03:15 time: 0.402916 data_time: 0.041304 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.874923 loss: 0.000593 2022/09/28 06:47:37 - mmengine - INFO - Epoch(train) [162][100/586] lr: 5.000000e-04 eta: 3:02:56 time: 0.384200 data_time: 0.031922 memory: 7071 loss_kpt: 0.000571 acc_pose: 0.852369 loss: 0.000571 2022/09/28 06:47:57 - mmengine - INFO - Epoch(train) [162][150/586] lr: 5.000000e-04 eta: 3:02:37 time: 0.400841 data_time: 0.029714 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.850074 loss: 0.000580 2022/09/28 06:48:17 - mmengine - INFO - Epoch(train) [162][200/586] lr: 5.000000e-04 eta: 3:02:18 time: 0.398329 data_time: 0.034543 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.876566 loss: 0.000589 2022/09/28 06:48:36 - mmengine - INFO - Epoch(train) [162][250/586] lr: 5.000000e-04 eta: 3:01:59 time: 0.379311 data_time: 0.041232 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.812666 loss: 0.000583 2022/09/28 06:48:56 - mmengine - INFO - Epoch(train) [162][300/586] lr: 5.000000e-04 eta: 3:01:40 time: 0.385303 data_time: 0.036510 memory: 7071 loss_kpt: 0.000575 acc_pose: 0.868057 loss: 0.000575 2022/09/28 06:49:15 - mmengine - INFO - Epoch(train) [162][350/586] lr: 5.000000e-04 eta: 3:01:21 time: 0.386568 data_time: 0.043055 memory: 7071 loss_kpt: 0.000575 acc_pose: 0.857907 loss: 0.000575 2022/09/28 06:49:35 - mmengine - INFO - Epoch(train) [162][400/586] lr: 5.000000e-04 eta: 3:01:02 time: 0.394446 data_time: 0.041871 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.851802 loss: 0.000576 2022/09/28 06:49:54 - mmengine - INFO - Epoch(train) [162][450/586] lr: 5.000000e-04 eta: 3:00:43 time: 0.389040 data_time: 0.032160 memory: 7071 loss_kpt: 0.000588 acc_pose: 0.889453 loss: 0.000588 2022/09/28 06:50:14 - mmengine - INFO - Epoch(train) [162][500/586] lr: 5.000000e-04 eta: 3:00:24 time: 0.400011 data_time: 0.032182 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.794669 loss: 0.000582 2022/09/28 06:50:33 - mmengine - INFO - Epoch(train) [162][550/586] lr: 5.000000e-04 eta: 3:00:05 time: 0.384759 data_time: 0.031940 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.892026 loss: 0.000586 2022/09/28 06:50:47 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:51:07 - mmengine - INFO - Epoch(train) [163][50/586] lr: 5.000000e-04 eta: 2:59:28 time: 0.402100 data_time: 0.055757 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.850399 loss: 0.000585 2022/09/28 06:51:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:51:27 - mmengine - INFO - Epoch(train) [163][100/586] lr: 5.000000e-04 eta: 2:59:09 time: 0.394404 data_time: 0.035974 memory: 7071 loss_kpt: 0.000579 acc_pose: 0.840714 loss: 0.000579 2022/09/28 06:51:46 - mmengine - INFO - Epoch(train) [163][150/586] lr: 5.000000e-04 eta: 2:58:50 time: 0.382022 data_time: 0.035368 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.839191 loss: 0.000585 2022/09/28 06:52:06 - mmengine - INFO - Epoch(train) [163][200/586] lr: 5.000000e-04 eta: 2:58:30 time: 0.384681 data_time: 0.038288 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.862331 loss: 0.000600 2022/09/28 06:52:26 - mmengine - INFO - Epoch(train) [163][250/586] lr: 5.000000e-04 eta: 2:58:12 time: 0.406143 data_time: 0.038644 memory: 7071 loss_kpt: 0.000575 acc_pose: 0.828413 loss: 0.000575 2022/09/28 06:52:45 - mmengine - INFO - Epoch(train) [163][300/586] lr: 5.000000e-04 eta: 2:57:52 time: 0.377030 data_time: 0.033078 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.799696 loss: 0.000594 2022/09/28 06:53:05 - mmengine - INFO - Epoch(train) [163][350/586] lr: 5.000000e-04 eta: 2:57:33 time: 0.399258 data_time: 0.039307 memory: 7071 loss_kpt: 0.000593 acc_pose: 0.861448 loss: 0.000593 2022/09/28 06:53:24 - mmengine - INFO - Epoch(train) [163][400/586] lr: 5.000000e-04 eta: 2:57:14 time: 0.379516 data_time: 0.031511 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.846033 loss: 0.000587 2022/09/28 06:53:43 - mmengine - INFO - Epoch(train) [163][450/586] lr: 5.000000e-04 eta: 2:56:55 time: 0.391238 data_time: 0.031352 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.755594 loss: 0.000584 2022/09/28 06:54:03 - mmengine - INFO - Epoch(train) [163][500/586] lr: 5.000000e-04 eta: 2:56:36 time: 0.391184 data_time: 0.032231 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.856546 loss: 0.000584 2022/09/28 06:54:23 - mmengine - INFO - Epoch(train) [163][550/586] lr: 5.000000e-04 eta: 2:56:17 time: 0.394713 data_time: 0.030092 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.874272 loss: 0.000591 2022/09/28 06:54:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:54:56 - mmengine - INFO - Epoch(train) [164][50/586] lr: 5.000000e-04 eta: 2:55:40 time: 0.381881 data_time: 0.041329 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.836222 loss: 0.000581 2022/09/28 06:55:15 - mmengine - INFO - Epoch(train) [164][100/586] lr: 5.000000e-04 eta: 2:55:21 time: 0.386114 data_time: 0.039083 memory: 7071 loss_kpt: 0.000597 acc_pose: 0.843796 loss: 0.000597 2022/09/28 06:55:35 - mmengine - INFO - Epoch(train) [164][150/586] lr: 5.000000e-04 eta: 2:55:02 time: 0.391909 data_time: 0.033331 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.906600 loss: 0.000584 2022/09/28 06:55:55 - mmengine - INFO - Epoch(train) [164][200/586] lr: 5.000000e-04 eta: 2:54:43 time: 0.400621 data_time: 0.030515 memory: 7071 loss_kpt: 0.000578 acc_pose: 0.863786 loss: 0.000578 2022/09/28 06:56:14 - mmengine - INFO - Epoch(train) [164][250/586] lr: 5.000000e-04 eta: 2:54:24 time: 0.391469 data_time: 0.038176 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.879750 loss: 0.000581 2022/09/28 06:56:34 - mmengine - INFO - Epoch(train) [164][300/586] lr: 5.000000e-04 eta: 2:54:05 time: 0.394863 data_time: 0.043181 memory: 7071 loss_kpt: 0.000569 acc_pose: 0.876797 loss: 0.000569 2022/09/28 06:56:53 - mmengine - INFO - Epoch(train) [164][350/586] lr: 5.000000e-04 eta: 2:53:46 time: 0.374929 data_time: 0.031577 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.853738 loss: 0.000594 2022/09/28 06:57:13 - mmengine - INFO - Epoch(train) [164][400/586] lr: 5.000000e-04 eta: 2:53:27 time: 0.396510 data_time: 0.030307 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.827885 loss: 0.000581 2022/09/28 06:57:31 - mmengine - INFO - Epoch(train) [164][450/586] lr: 5.000000e-04 eta: 2:53:07 time: 0.370864 data_time: 0.029217 memory: 7071 loss_kpt: 0.000585 acc_pose: 0.827633 loss: 0.000585 2022/09/28 06:57:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:57:51 - mmengine - INFO - Epoch(train) [164][500/586] lr: 5.000000e-04 eta: 2:52:48 time: 0.388402 data_time: 0.035965 memory: 7071 loss_kpt: 0.000594 acc_pose: 0.848124 loss: 0.000594 2022/09/28 06:58:10 - mmengine - INFO - Epoch(train) [164][550/586] lr: 5.000000e-04 eta: 2:52:29 time: 0.378388 data_time: 0.031668 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.868860 loss: 0.000587 2022/09/28 06:58:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 06:58:44 - mmengine - INFO - Epoch(train) [165][50/586] lr: 5.000000e-04 eta: 2:51:52 time: 0.402282 data_time: 0.042344 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.829396 loss: 0.000586 2022/09/28 06:59:03 - mmengine - INFO - Epoch(train) [165][100/586] lr: 5.000000e-04 eta: 2:51:33 time: 0.390236 data_time: 0.036723 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.884874 loss: 0.000580 2022/09/28 06:59:23 - mmengine - INFO - Epoch(train) [165][150/586] lr: 5.000000e-04 eta: 2:51:14 time: 0.393819 data_time: 0.033540 memory: 7071 loss_kpt: 0.000598 acc_pose: 0.832702 loss: 0.000598 2022/09/28 06:59:42 - mmengine - INFO - Epoch(train) [165][200/586] lr: 5.000000e-04 eta: 2:50:55 time: 0.375177 data_time: 0.032717 memory: 7071 loss_kpt: 0.000587 acc_pose: 0.908272 loss: 0.000587 2022/09/28 07:00:01 - mmengine - INFO - Epoch(train) [165][250/586] lr: 5.000000e-04 eta: 2:50:36 time: 0.384815 data_time: 0.034975 memory: 7071 loss_kpt: 0.000579 acc_pose: 0.868861 loss: 0.000579 2022/09/28 07:00:21 - mmengine - INFO - Epoch(train) [165][300/586] lr: 5.000000e-04 eta: 2:50:17 time: 0.388703 data_time: 0.037619 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.843434 loss: 0.000591 2022/09/28 07:00:40 - mmengine - INFO - Epoch(train) [165][350/586] lr: 5.000000e-04 eta: 2:49:58 time: 0.391858 data_time: 0.032835 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.846299 loss: 0.000586 2022/09/28 07:01:00 - mmengine - INFO - Epoch(train) [165][400/586] lr: 5.000000e-04 eta: 2:49:39 time: 0.402083 data_time: 0.046056 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.781679 loss: 0.000576 2022/09/28 07:01:20 - mmengine - INFO - Epoch(train) [165][450/586] lr: 5.000000e-04 eta: 2:49:20 time: 0.383702 data_time: 0.037060 memory: 7071 loss_kpt: 0.000563 acc_pose: 0.847966 loss: 0.000563 2022/09/28 07:01:38 - mmengine - INFO - Epoch(train) [165][500/586] lr: 5.000000e-04 eta: 2:49:00 time: 0.378055 data_time: 0.036205 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.853093 loss: 0.000590 2022/09/28 07:01:58 - mmengine - INFO - Epoch(train) [165][550/586] lr: 5.000000e-04 eta: 2:48:41 time: 0.387034 data_time: 0.034426 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.817151 loss: 0.000591 2022/09/28 07:02:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:02:33 - mmengine - INFO - Epoch(train) [166][50/586] lr: 5.000000e-04 eta: 2:48:05 time: 0.413502 data_time: 0.050045 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.841689 loss: 0.000586 2022/09/28 07:02:52 - mmengine - INFO - Epoch(train) [166][100/586] lr: 5.000000e-04 eta: 2:47:46 time: 0.378584 data_time: 0.031274 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.840560 loss: 0.000582 2022/09/28 07:03:11 - mmengine - INFO - Epoch(train) [166][150/586] lr: 5.000000e-04 eta: 2:47:27 time: 0.388110 data_time: 0.037202 memory: 7071 loss_kpt: 0.000586 acc_pose: 0.901557 loss: 0.000586 2022/09/28 07:03:31 - mmengine - INFO - Epoch(train) [166][200/586] lr: 5.000000e-04 eta: 2:47:08 time: 0.388104 data_time: 0.035701 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.882424 loss: 0.000589 2022/09/28 07:03:50 - mmengine - INFO - Epoch(train) [166][250/586] lr: 5.000000e-04 eta: 2:46:48 time: 0.385361 data_time: 0.029930 memory: 7071 loss_kpt: 0.000599 acc_pose: 0.850093 loss: 0.000599 2022/09/28 07:04:10 - mmengine - INFO - Epoch(train) [166][300/586] lr: 5.000000e-04 eta: 2:46:29 time: 0.398263 data_time: 0.033777 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.874606 loss: 0.000584 2022/09/28 07:04:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:04:29 - mmengine - INFO - Epoch(train) [166][350/586] lr: 5.000000e-04 eta: 2:46:10 time: 0.384852 data_time: 0.036620 memory: 7071 loss_kpt: 0.000577 acc_pose: 0.858558 loss: 0.000577 2022/09/28 07:04:48 - mmengine - INFO - Epoch(train) [166][400/586] lr: 5.000000e-04 eta: 2:45:51 time: 0.383207 data_time: 0.040227 memory: 7071 loss_kpt: 0.000553 acc_pose: 0.835434 loss: 0.000553 2022/09/28 07:05:07 - mmengine - INFO - Epoch(train) [166][450/586] lr: 5.000000e-04 eta: 2:45:32 time: 0.385083 data_time: 0.037370 memory: 7071 loss_kpt: 0.000579 acc_pose: 0.883761 loss: 0.000579 2022/09/28 07:05:27 - mmengine - INFO - Epoch(train) [166][500/586] lr: 5.000000e-04 eta: 2:45:13 time: 0.394359 data_time: 0.039847 memory: 7071 loss_kpt: 0.000577 acc_pose: 0.837926 loss: 0.000577 2022/09/28 07:05:46 - mmengine - INFO - Epoch(train) [166][550/586] lr: 5.000000e-04 eta: 2:44:54 time: 0.385246 data_time: 0.046773 memory: 7071 loss_kpt: 0.000571 acc_pose: 0.896865 loss: 0.000571 2022/09/28 07:06:00 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:06:21 - mmengine - INFO - Epoch(train) [167][50/586] lr: 5.000000e-04 eta: 2:44:18 time: 0.411844 data_time: 0.049241 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.878180 loss: 0.000583 2022/09/28 07:06:40 - mmengine - INFO - Epoch(train) [167][100/586] lr: 5.000000e-04 eta: 2:43:58 time: 0.379060 data_time: 0.032728 memory: 7071 loss_kpt: 0.000577 acc_pose: 0.831916 loss: 0.000577 2022/09/28 07:06:59 - mmengine - INFO - Epoch(train) [167][150/586] lr: 5.000000e-04 eta: 2:43:39 time: 0.382704 data_time: 0.032706 memory: 7071 loss_kpt: 0.000581 acc_pose: 0.861797 loss: 0.000581 2022/09/28 07:07:18 - mmengine - INFO - Epoch(train) [167][200/586] lr: 5.000000e-04 eta: 2:43:20 time: 0.391497 data_time: 0.035324 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.868358 loss: 0.000576 2022/09/28 07:07:38 - mmengine - INFO - Epoch(train) [167][250/586] lr: 5.000000e-04 eta: 2:43:01 time: 0.382417 data_time: 0.029657 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.858357 loss: 0.000582 2022/09/28 07:07:57 - mmengine - INFO - Epoch(train) [167][300/586] lr: 5.000000e-04 eta: 2:42:42 time: 0.391440 data_time: 0.032832 memory: 7071 loss_kpt: 0.000575 acc_pose: 0.881597 loss: 0.000575 2022/09/28 07:08:17 - mmengine - INFO - Epoch(train) [167][350/586] lr: 5.000000e-04 eta: 2:42:23 time: 0.392102 data_time: 0.031229 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.820591 loss: 0.000580 2022/09/28 07:08:36 - mmengine - INFO - Epoch(train) [167][400/586] lr: 5.000000e-04 eta: 2:42:04 time: 0.391488 data_time: 0.035263 memory: 7071 loss_kpt: 0.000566 acc_pose: 0.859755 loss: 0.000566 2022/09/28 07:08:56 - mmengine - INFO - Epoch(train) [167][450/586] lr: 5.000000e-04 eta: 2:41:45 time: 0.385469 data_time: 0.036736 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.872600 loss: 0.000584 2022/09/28 07:09:15 - mmengine - INFO - Epoch(train) [167][500/586] lr: 5.000000e-04 eta: 2:41:26 time: 0.388740 data_time: 0.034571 memory: 7071 loss_kpt: 0.000565 acc_pose: 0.835353 loss: 0.000565 2022/09/28 07:09:34 - mmengine - INFO - Epoch(train) [167][550/586] lr: 5.000000e-04 eta: 2:41:07 time: 0.384825 data_time: 0.036515 memory: 7071 loss_kpt: 0.000562 acc_pose: 0.869380 loss: 0.000562 2022/09/28 07:09:48 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:10:09 - mmengine - INFO - Epoch(train) [168][50/586] lr: 5.000000e-04 eta: 2:40:31 time: 0.420755 data_time: 0.059226 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.876284 loss: 0.000584 2022/09/28 07:10:28 - mmengine - INFO - Epoch(train) [168][100/586] lr: 5.000000e-04 eta: 2:40:11 time: 0.381254 data_time: 0.046408 memory: 7071 loss_kpt: 0.000592 acc_pose: 0.808816 loss: 0.000592 2022/09/28 07:10:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:10:48 - mmengine - INFO - Epoch(train) [168][150/586] lr: 5.000000e-04 eta: 2:39:52 time: 0.384399 data_time: 0.031341 memory: 7071 loss_kpt: 0.000567 acc_pose: 0.827110 loss: 0.000567 2022/09/28 07:11:07 - mmengine - INFO - Epoch(train) [168][200/586] lr: 5.000000e-04 eta: 2:39:33 time: 0.378538 data_time: 0.033203 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.781465 loss: 0.000580 2022/09/28 07:11:26 - mmengine - INFO - Epoch(train) [168][250/586] lr: 5.000000e-04 eta: 2:39:14 time: 0.386134 data_time: 0.034800 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.868342 loss: 0.000580 2022/09/28 07:11:45 - mmengine - INFO - Epoch(train) [168][300/586] lr: 5.000000e-04 eta: 2:38:55 time: 0.382979 data_time: 0.032932 memory: 7071 loss_kpt: 0.000565 acc_pose: 0.853475 loss: 0.000565 2022/09/28 07:12:05 - mmengine - INFO - Epoch(train) [168][350/586] lr: 5.000000e-04 eta: 2:38:36 time: 0.389322 data_time: 0.033391 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.881827 loss: 0.000576 2022/09/28 07:12:24 - mmengine - INFO - Epoch(train) [168][400/586] lr: 5.000000e-04 eta: 2:38:17 time: 0.394819 data_time: 0.033878 memory: 7071 loss_kpt: 0.000582 acc_pose: 0.871409 loss: 0.000582 2022/09/28 07:12:44 - mmengine - INFO - Epoch(train) [168][450/586] lr: 5.000000e-04 eta: 2:37:58 time: 0.383121 data_time: 0.033275 memory: 7071 loss_kpt: 0.000601 acc_pose: 0.884009 loss: 0.000601 2022/09/28 07:13:03 - mmengine - INFO - Epoch(train) [168][500/586] lr: 5.000000e-04 eta: 2:37:39 time: 0.387504 data_time: 0.035411 memory: 7071 loss_kpt: 0.000554 acc_pose: 0.812168 loss: 0.000554 2022/09/28 07:13:23 - mmengine - INFO - Epoch(train) [168][550/586] lr: 5.000000e-04 eta: 2:37:20 time: 0.394092 data_time: 0.033319 memory: 7071 loss_kpt: 0.000576 acc_pose: 0.859617 loss: 0.000576 2022/09/28 07:13:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:13:56 - mmengine - INFO - Epoch(train) [169][50/586] lr: 5.000000e-04 eta: 2:36:43 time: 0.404000 data_time: 0.045733 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.799338 loss: 0.000583 2022/09/28 07:14:16 - mmengine - INFO - Epoch(train) [169][100/586] lr: 5.000000e-04 eta: 2:36:24 time: 0.389087 data_time: 0.030772 memory: 7071 loss_kpt: 0.000570 acc_pose: 0.870985 loss: 0.000570 2022/09/28 07:14:35 - mmengine - INFO - Epoch(train) [169][150/586] lr: 5.000000e-04 eta: 2:36:05 time: 0.386066 data_time: 0.038724 memory: 7071 loss_kpt: 0.000566 acc_pose: 0.912134 loss: 0.000566 2022/09/28 07:14:54 - mmengine - INFO - Epoch(train) [169][200/586] lr: 5.000000e-04 eta: 2:35:46 time: 0.383380 data_time: 0.033215 memory: 7071 loss_kpt: 0.000567 acc_pose: 0.847134 loss: 0.000567 2022/09/28 07:15:14 - mmengine - INFO - Epoch(train) [169][250/586] lr: 5.000000e-04 eta: 2:35:27 time: 0.391997 data_time: 0.038285 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.818137 loss: 0.000583 2022/09/28 07:15:33 - mmengine - INFO - Epoch(train) [169][300/586] lr: 5.000000e-04 eta: 2:35:08 time: 0.384948 data_time: 0.035965 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.851098 loss: 0.000583 2022/09/28 07:15:52 - mmengine - INFO - Epoch(train) [169][350/586] lr: 5.000000e-04 eta: 2:34:49 time: 0.381648 data_time: 0.034926 memory: 7071 loss_kpt: 0.000590 acc_pose: 0.864664 loss: 0.000590 2022/09/28 07:16:12 - mmengine - INFO - Epoch(train) [169][400/586] lr: 5.000000e-04 eta: 2:34:30 time: 0.393777 data_time: 0.037522 memory: 7071 loss_kpt: 0.000564 acc_pose: 0.907430 loss: 0.000564 2022/09/28 07:16:32 - mmengine - INFO - Epoch(train) [169][450/586] lr: 5.000000e-04 eta: 2:34:11 time: 0.392610 data_time: 0.034362 memory: 7071 loss_kpt: 0.000565 acc_pose: 0.899165 loss: 0.000565 2022/09/28 07:16:51 - mmengine - INFO - Epoch(train) [169][500/586] lr: 5.000000e-04 eta: 2:33:52 time: 0.390181 data_time: 0.043949 memory: 7071 loss_kpt: 0.000583 acc_pose: 0.863327 loss: 0.000583 2022/09/28 07:17:11 - mmengine - INFO - Epoch(train) [169][550/586] lr: 5.000000e-04 eta: 2:33:33 time: 0.393211 data_time: 0.031404 memory: 7071 loss_kpt: 0.000575 acc_pose: 0.891794 loss: 0.000575 2022/09/28 07:17:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:17:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:17:45 - mmengine - INFO - Epoch(train) [170][50/586] lr: 5.000000e-04 eta: 2:32:57 time: 0.399322 data_time: 0.040921 memory: 7071 loss_kpt: 0.000566 acc_pose: 0.872328 loss: 0.000566 2022/09/28 07:18:05 - mmengine - INFO - Epoch(train) [170][100/586] lr: 5.000000e-04 eta: 2:32:38 time: 0.396798 data_time: 0.034526 memory: 7071 loss_kpt: 0.000591 acc_pose: 0.830600 loss: 0.000591 2022/09/28 07:18:24 - mmengine - INFO - Epoch(train) [170][150/586] lr: 5.000000e-04 eta: 2:32:18 time: 0.379139 data_time: 0.032923 memory: 7071 loss_kpt: 0.000600 acc_pose: 0.834231 loss: 0.000600 2022/09/28 07:18:42 - mmengine - INFO - Epoch(train) [170][200/586] lr: 5.000000e-04 eta: 2:31:59 time: 0.378645 data_time: 0.030860 memory: 7071 loss_kpt: 0.000584 acc_pose: 0.856240 loss: 0.000584 2022/09/28 07:19:02 - mmengine - INFO - Epoch(train) [170][250/586] lr: 5.000000e-04 eta: 2:31:40 time: 0.392658 data_time: 0.034187 memory: 7071 loss_kpt: 0.000549 acc_pose: 0.844517 loss: 0.000549 2022/09/28 07:19:22 - mmengine - INFO - Epoch(train) [170][300/586] lr: 5.000000e-04 eta: 2:31:21 time: 0.395595 data_time: 0.036963 memory: 7071 loss_kpt: 0.000567 acc_pose: 0.843803 loss: 0.000567 2022/09/28 07:19:41 - mmengine - INFO - Epoch(train) [170][350/586] lr: 5.000000e-04 eta: 2:31:02 time: 0.385523 data_time: 0.035450 memory: 7071 loss_kpt: 0.000589 acc_pose: 0.858362 loss: 0.000589 2022/09/28 07:20:01 - mmengine - INFO - Epoch(train) [170][400/586] lr: 5.000000e-04 eta: 2:30:43 time: 0.386137 data_time: 0.040958 memory: 7071 loss_kpt: 0.000572 acc_pose: 0.853520 loss: 0.000572 2022/09/28 07:20:19 - mmengine - INFO - Epoch(train) [170][450/586] lr: 5.000000e-04 eta: 2:30:24 time: 0.377802 data_time: 0.039823 memory: 7071 loss_kpt: 0.000561 acc_pose: 0.778674 loss: 0.000561 2022/09/28 07:20:39 - mmengine - INFO - Epoch(train) [170][500/586] lr: 5.000000e-04 eta: 2:30:05 time: 0.389701 data_time: 0.029009 memory: 7071 loss_kpt: 0.000574 acc_pose: 0.801317 loss: 0.000574 2022/09/28 07:20:58 - mmengine - INFO - Epoch(train) [170][550/586] lr: 5.000000e-04 eta: 2:29:46 time: 0.389090 data_time: 0.031004 memory: 7071 loss_kpt: 0.000572 acc_pose: 0.791552 loss: 0.000572 2022/09/28 07:21:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:21:12 - mmengine - INFO - Saving checkpoint at 170 epochs 2022/09/28 07:21:41 - mmengine - INFO - Epoch(val) [170][50/407] eta: 0:02:01 time: 0.340451 data_time: 0.129821 memory: 7071 2022/09/28 07:21:58 - mmengine - INFO - Epoch(val) [170][100/407] eta: 0:01:42 time: 0.333696 data_time: 0.141418 memory: 1674 2022/09/28 07:22:15 - mmengine - INFO - Epoch(val) [170][150/407] eta: 0:01:25 time: 0.332166 data_time: 0.139113 memory: 1674 2022/09/28 07:22:32 - mmengine - INFO - Epoch(val) [170][200/407] eta: 0:01:10 time: 0.341430 data_time: 0.132701 memory: 1674 2022/09/28 07:22:48 - mmengine - INFO - Epoch(val) [170][250/407] eta: 0:00:50 time: 0.319677 data_time: 0.122481 memory: 1674 2022/09/28 07:23:03 - mmengine - INFO - Epoch(val) [170][300/407] eta: 0:00:33 time: 0.312995 data_time: 0.124586 memory: 1674 2022/09/28 07:23:20 - mmengine - INFO - Epoch(val) [170][350/407] eta: 0:00:18 time: 0.329336 data_time: 0.131311 memory: 1674 2022/09/28 07:23:28 - mmengine - INFO - Epoch(val) [170][400/407] eta: 0:00:01 time: 0.154054 data_time: 0.059623 memory: 1674 2022/09/28 07:24:00 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 07:24:13 - mmengine - INFO - Epoch(val) [170][407/407] coco/AP: 0.724063 coco/AP .5: 0.897855 coco/AP .75: 0.805351 coco/AP (M): 0.687638 coco/AP (L): 0.791576 coco/AR: 0.779235 coco/AR .5: 0.936398 coco/AR .75: 0.850913 coco/AR (M): 0.736411 coco/AR (L): 0.840803 2022/09/28 07:24:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_150.pth is removed 2022/09/28 07:24:17 - mmengine - INFO - The best checkpoint with 0.7241 coco/AP at 170 epoch is saved to best_coco/AP_epoch_170.pth. 2022/09/28 07:24:37 - mmengine - INFO - Epoch(train) [171][50/586] lr: 5.000000e-05 eta: 2:29:10 time: 0.392929 data_time: 0.037863 memory: 7071 loss_kpt: 0.000566 acc_pose: 0.891351 loss: 0.000566 2022/09/28 07:24:56 - mmengine - INFO - Epoch(train) [171][100/586] lr: 5.000000e-05 eta: 2:28:51 time: 0.380082 data_time: 0.035767 memory: 7071 loss_kpt: 0.000563 acc_pose: 0.807714 loss: 0.000563 2022/09/28 07:25:15 - mmengine - INFO - Epoch(train) [171][150/586] lr: 5.000000e-05 eta: 2:28:31 time: 0.386052 data_time: 0.036823 memory: 7071 loss_kpt: 0.000563 acc_pose: 0.857418 loss: 0.000563 2022/09/28 07:25:34 - mmengine - INFO - Epoch(train) [171][200/586] lr: 5.000000e-05 eta: 2:28:12 time: 0.380789 data_time: 0.035694 memory: 7071 loss_kpt: 0.000552 acc_pose: 0.886285 loss: 0.000552 2022/09/28 07:25:54 - mmengine - INFO - Epoch(train) [171][250/586] lr: 5.000000e-05 eta: 2:27:53 time: 0.391240 data_time: 0.030371 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.879665 loss: 0.000542 2022/09/28 07:26:14 - mmengine - INFO - Epoch(train) [171][300/586] lr: 5.000000e-05 eta: 2:27:34 time: 0.392256 data_time: 0.030837 memory: 7071 loss_kpt: 0.000554 acc_pose: 0.874898 loss: 0.000554 2022/09/28 07:26:33 - mmengine - INFO - Epoch(train) [171][350/586] lr: 5.000000e-05 eta: 2:27:15 time: 0.381285 data_time: 0.039540 memory: 7071 loss_kpt: 0.000580 acc_pose: 0.827387 loss: 0.000580 2022/09/28 07:26:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:26:52 - mmengine - INFO - Epoch(train) [171][400/586] lr: 5.000000e-05 eta: 2:26:56 time: 0.376975 data_time: 0.036458 memory: 7071 loss_kpt: 0.000556 acc_pose: 0.901050 loss: 0.000556 2022/09/28 07:27:11 - mmengine - INFO - Epoch(train) [171][450/586] lr: 5.000000e-05 eta: 2:26:37 time: 0.385749 data_time: 0.037091 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.900533 loss: 0.000544 2022/09/28 07:27:31 - mmengine - INFO - Epoch(train) [171][500/586] lr: 5.000000e-05 eta: 2:26:18 time: 0.401634 data_time: 0.036750 memory: 7071 loss_kpt: 0.000565 acc_pose: 0.797849 loss: 0.000565 2022/09/28 07:27:50 - mmengine - INFO - Epoch(train) [171][550/586] lr: 5.000000e-05 eta: 2:25:59 time: 0.389635 data_time: 0.036559 memory: 7071 loss_kpt: 0.000558 acc_pose: 0.885018 loss: 0.000558 2022/09/28 07:28:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:28:25 - mmengine - INFO - Epoch(train) [172][50/586] lr: 5.000000e-05 eta: 2:25:23 time: 0.400862 data_time: 0.044318 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.911961 loss: 0.000544 2022/09/28 07:28:44 - mmengine - INFO - Epoch(train) [172][100/586] lr: 5.000000e-05 eta: 2:25:04 time: 0.396498 data_time: 0.030399 memory: 7071 loss_kpt: 0.000564 acc_pose: 0.883555 loss: 0.000564 2022/09/28 07:29:04 - mmengine - INFO - Epoch(train) [172][150/586] lr: 5.000000e-05 eta: 2:24:45 time: 0.392128 data_time: 0.033727 memory: 7071 loss_kpt: 0.000569 acc_pose: 0.899624 loss: 0.000569 2022/09/28 07:29:23 - mmengine - INFO - Epoch(train) [172][200/586] lr: 5.000000e-05 eta: 2:24:26 time: 0.378540 data_time: 0.031248 memory: 7071 loss_kpt: 0.000549 acc_pose: 0.883889 loss: 0.000549 2022/09/28 07:29:43 - mmengine - INFO - Epoch(train) [172][250/586] lr: 5.000000e-05 eta: 2:24:07 time: 0.395759 data_time: 0.037587 memory: 7071 loss_kpt: 0.000554 acc_pose: 0.852038 loss: 0.000554 2022/09/28 07:30:02 - mmengine - INFO - Epoch(train) [172][300/586] lr: 5.000000e-05 eta: 2:23:48 time: 0.374627 data_time: 0.033377 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.861151 loss: 0.000537 2022/09/28 07:30:21 - mmengine - INFO - Epoch(train) [172][350/586] lr: 5.000000e-05 eta: 2:23:29 time: 0.385479 data_time: 0.035669 memory: 7071 loss_kpt: 0.000539 acc_pose: 0.838139 loss: 0.000539 2022/09/28 07:30:40 - mmengine - INFO - Epoch(train) [172][400/586] lr: 5.000000e-05 eta: 2:23:09 time: 0.389631 data_time: 0.034098 memory: 7071 loss_kpt: 0.000546 acc_pose: 0.914784 loss: 0.000546 2022/09/28 07:31:00 - mmengine - INFO - Epoch(train) [172][450/586] lr: 5.000000e-05 eta: 2:22:51 time: 0.399130 data_time: 0.036451 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.824793 loss: 0.000535 2022/09/28 07:31:20 - mmengine - INFO - Epoch(train) [172][500/586] lr: 5.000000e-05 eta: 2:22:32 time: 0.390233 data_time: 0.036979 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.867132 loss: 0.000533 2022/09/28 07:31:40 - mmengine - INFO - Epoch(train) [172][550/586] lr: 5.000000e-05 eta: 2:22:13 time: 0.395986 data_time: 0.032512 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.894112 loss: 0.000538 2022/09/28 07:31:53 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:32:13 - mmengine - INFO - Epoch(train) [173][50/586] lr: 5.000000e-05 eta: 2:21:37 time: 0.405201 data_time: 0.039268 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.856598 loss: 0.000543 2022/09/28 07:32:32 - mmengine - INFO - Epoch(train) [173][100/586] lr: 5.000000e-05 eta: 2:21:18 time: 0.377118 data_time: 0.033922 memory: 7071 loss_kpt: 0.000552 acc_pose: 0.857028 loss: 0.000552 2022/09/28 07:32:52 - mmengine - INFO - Epoch(train) [173][150/586] lr: 5.000000e-05 eta: 2:20:59 time: 0.388092 data_time: 0.035020 memory: 7071 loss_kpt: 0.000562 acc_pose: 0.859661 loss: 0.000562 2022/09/28 07:33:11 - mmengine - INFO - Epoch(train) [173][200/586] lr: 5.000000e-05 eta: 2:20:39 time: 0.381139 data_time: 0.041451 memory: 7071 loss_kpt: 0.000549 acc_pose: 0.816407 loss: 0.000549 2022/09/28 07:33:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:33:29 - mmengine - INFO - Epoch(train) [173][250/586] lr: 5.000000e-05 eta: 2:20:20 time: 0.374690 data_time: 0.035214 memory: 7071 loss_kpt: 0.000549 acc_pose: 0.876504 loss: 0.000549 2022/09/28 07:33:49 - mmengine - INFO - Epoch(train) [173][300/586] lr: 5.000000e-05 eta: 2:20:01 time: 0.383912 data_time: 0.031394 memory: 7071 loss_kpt: 0.000556 acc_pose: 0.916070 loss: 0.000556 2022/09/28 07:34:08 - mmengine - INFO - Epoch(train) [173][350/586] lr: 5.000000e-05 eta: 2:19:42 time: 0.381653 data_time: 0.030701 memory: 7071 loss_kpt: 0.000541 acc_pose: 0.855011 loss: 0.000541 2022/09/28 07:34:27 - mmengine - INFO - Epoch(train) [173][400/586] lr: 5.000000e-05 eta: 2:19:23 time: 0.383229 data_time: 0.033232 memory: 7071 loss_kpt: 0.000557 acc_pose: 0.816838 loss: 0.000557 2022/09/28 07:34:46 - mmengine - INFO - Epoch(train) [173][450/586] lr: 5.000000e-05 eta: 2:19:04 time: 0.380692 data_time: 0.042938 memory: 7071 loss_kpt: 0.000556 acc_pose: 0.764134 loss: 0.000556 2022/09/28 07:35:05 - mmengine - INFO - Epoch(train) [173][500/586] lr: 5.000000e-05 eta: 2:18:45 time: 0.381676 data_time: 0.032145 memory: 7071 loss_kpt: 0.000560 acc_pose: 0.873042 loss: 0.000560 2022/09/28 07:35:25 - mmengine - INFO - Epoch(train) [173][550/586] lr: 5.000000e-05 eta: 2:18:26 time: 0.408296 data_time: 0.032778 memory: 7071 loss_kpt: 0.000553 acc_pose: 0.848820 loss: 0.000553 2022/09/28 07:35:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:35:59 - mmengine - INFO - Epoch(train) [174][50/586] lr: 5.000000e-05 eta: 2:17:50 time: 0.397105 data_time: 0.040980 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.801584 loss: 0.000527 2022/09/28 07:36:18 - mmengine - INFO - Epoch(train) [174][100/586] lr: 5.000000e-05 eta: 2:17:31 time: 0.376328 data_time: 0.042485 memory: 7071 loss_kpt: 0.000539 acc_pose: 0.879044 loss: 0.000539 2022/09/28 07:36:37 - mmengine - INFO - Epoch(train) [174][150/586] lr: 5.000000e-05 eta: 2:17:12 time: 0.384216 data_time: 0.038427 memory: 7071 loss_kpt: 0.000559 acc_pose: 0.847100 loss: 0.000559 2022/09/28 07:36:57 - mmengine - INFO - Epoch(train) [174][200/586] lr: 5.000000e-05 eta: 2:16:53 time: 0.401921 data_time: 0.038384 memory: 7071 loss_kpt: 0.000559 acc_pose: 0.888281 loss: 0.000559 2022/09/28 07:37:17 - mmengine - INFO - Epoch(train) [174][250/586] lr: 5.000000e-05 eta: 2:16:34 time: 0.382459 data_time: 0.051335 memory: 7071 loss_kpt: 0.000556 acc_pose: 0.897954 loss: 0.000556 2022/09/28 07:37:36 - mmengine - INFO - Epoch(train) [174][300/586] lr: 5.000000e-05 eta: 2:16:15 time: 0.387828 data_time: 0.032720 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.871589 loss: 0.000536 2022/09/28 07:37:55 - mmengine - INFO - Epoch(train) [174][350/586] lr: 5.000000e-05 eta: 2:15:56 time: 0.378430 data_time: 0.030906 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.917376 loss: 0.000544 2022/09/28 07:38:14 - mmengine - INFO - Epoch(train) [174][400/586] lr: 5.000000e-05 eta: 2:15:37 time: 0.392820 data_time: 0.040989 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.907251 loss: 0.000536 2022/09/28 07:38:34 - mmengine - INFO - Epoch(train) [174][450/586] lr: 5.000000e-05 eta: 2:15:18 time: 0.392364 data_time: 0.036691 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.861377 loss: 0.000537 2022/09/28 07:38:54 - mmengine - INFO - Epoch(train) [174][500/586] lr: 5.000000e-05 eta: 2:14:59 time: 0.400717 data_time: 0.036193 memory: 7071 loss_kpt: 0.000560 acc_pose: 0.832042 loss: 0.000560 2022/09/28 07:39:14 - mmengine - INFO - Epoch(train) [174][550/586] lr: 5.000000e-05 eta: 2:14:40 time: 0.394565 data_time: 0.034766 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.896783 loss: 0.000538 2022/09/28 07:39:28 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:39:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:39:48 - mmengine - INFO - Epoch(train) [175][50/586] lr: 5.000000e-05 eta: 2:14:04 time: 0.400154 data_time: 0.040800 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.783913 loss: 0.000543 2022/09/28 07:40:08 - mmengine - INFO - Epoch(train) [175][100/586] lr: 5.000000e-05 eta: 2:13:45 time: 0.383125 data_time: 0.035973 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.860665 loss: 0.000542 2022/09/28 07:40:27 - mmengine - INFO - Epoch(train) [175][150/586] lr: 5.000000e-05 eta: 2:13:26 time: 0.388987 data_time: 0.033224 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.867026 loss: 0.000532 2022/09/28 07:40:46 - mmengine - INFO - Epoch(train) [175][200/586] lr: 5.000000e-05 eta: 2:13:07 time: 0.373680 data_time: 0.033952 memory: 7071 loss_kpt: 0.000550 acc_pose: 0.893104 loss: 0.000550 2022/09/28 07:41:05 - mmengine - INFO - Epoch(train) [175][250/586] lr: 5.000000e-05 eta: 2:12:48 time: 0.387026 data_time: 0.030566 memory: 7071 loss_kpt: 0.000553 acc_pose: 0.799932 loss: 0.000553 2022/09/28 07:41:24 - mmengine - INFO - Epoch(train) [175][300/586] lr: 5.000000e-05 eta: 2:12:29 time: 0.377065 data_time: 0.035236 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.833126 loss: 0.000542 2022/09/28 07:41:44 - mmengine - INFO - Epoch(train) [175][350/586] lr: 5.000000e-05 eta: 2:12:10 time: 0.401023 data_time: 0.044858 memory: 7071 loss_kpt: 0.000541 acc_pose: 0.888429 loss: 0.000541 2022/09/28 07:42:03 - mmengine - INFO - Epoch(train) [175][400/586] lr: 5.000000e-05 eta: 2:11:51 time: 0.388190 data_time: 0.038310 memory: 7071 loss_kpt: 0.000558 acc_pose: 0.886585 loss: 0.000558 2022/09/28 07:42:23 - mmengine - INFO - Epoch(train) [175][450/586] lr: 5.000000e-05 eta: 2:11:32 time: 0.393083 data_time: 0.044837 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.895126 loss: 0.000526 2022/09/28 07:42:43 - mmengine - INFO - Epoch(train) [175][500/586] lr: 5.000000e-05 eta: 2:11:13 time: 0.389997 data_time: 0.033211 memory: 7071 loss_kpt: 0.000552 acc_pose: 0.865082 loss: 0.000552 2022/09/28 07:43:01 - mmengine - INFO - Epoch(train) [175][550/586] lr: 5.000000e-05 eta: 2:10:53 time: 0.374028 data_time: 0.031324 memory: 7071 loss_kpt: 0.000553 acc_pose: 0.887578 loss: 0.000553 2022/09/28 07:43:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:43:35 - mmengine - INFO - Epoch(train) [176][50/586] lr: 5.000000e-05 eta: 2:10:18 time: 0.403312 data_time: 0.038073 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.919135 loss: 0.000529 2022/09/28 07:43:54 - mmengine - INFO - Epoch(train) [176][100/586] lr: 5.000000e-05 eta: 2:09:59 time: 0.378124 data_time: 0.031886 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.863945 loss: 0.000528 2022/09/28 07:44:14 - mmengine - INFO - Epoch(train) [176][150/586] lr: 5.000000e-05 eta: 2:09:40 time: 0.385861 data_time: 0.045293 memory: 7071 loss_kpt: 0.000550 acc_pose: 0.850143 loss: 0.000550 2022/09/28 07:44:33 - mmengine - INFO - Epoch(train) [176][200/586] lr: 5.000000e-05 eta: 2:09:21 time: 0.390824 data_time: 0.032264 memory: 7071 loss_kpt: 0.000548 acc_pose: 0.875273 loss: 0.000548 2022/09/28 07:44:52 - mmengine - INFO - Epoch(train) [176][250/586] lr: 5.000000e-05 eta: 2:09:02 time: 0.384140 data_time: 0.031843 memory: 7071 loss_kpt: 0.000540 acc_pose: 0.883051 loss: 0.000540 2022/09/28 07:45:12 - mmengine - INFO - Epoch(train) [176][300/586] lr: 5.000000e-05 eta: 2:08:43 time: 0.388354 data_time: 0.033866 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.866894 loss: 0.000543 2022/09/28 07:45:32 - mmengine - INFO - Epoch(train) [176][350/586] lr: 5.000000e-05 eta: 2:08:24 time: 0.397755 data_time: 0.028271 memory: 7071 loss_kpt: 0.000547 acc_pose: 0.912856 loss: 0.000547 2022/09/28 07:45:52 - mmengine - INFO - Epoch(train) [176][400/586] lr: 5.000000e-05 eta: 2:08:05 time: 0.400764 data_time: 0.047984 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.888927 loss: 0.000535 2022/09/28 07:46:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:46:11 - mmengine - INFO - Epoch(train) [176][450/586] lr: 5.000000e-05 eta: 2:07:46 time: 0.381248 data_time: 0.031012 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.865264 loss: 0.000527 2022/09/28 07:46:30 - mmengine - INFO - Epoch(train) [176][500/586] lr: 5.000000e-05 eta: 2:07:26 time: 0.385409 data_time: 0.041577 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.901720 loss: 0.000532 2022/09/28 07:46:49 - mmengine - INFO - Epoch(train) [176][550/586] lr: 5.000000e-05 eta: 2:07:07 time: 0.383988 data_time: 0.030460 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.889895 loss: 0.000536 2022/09/28 07:47:03 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:47:23 - mmengine - INFO - Epoch(train) [177][50/586] lr: 5.000000e-05 eta: 2:06:32 time: 0.406403 data_time: 0.043625 memory: 7071 loss_kpt: 0.000555 acc_pose: 0.843081 loss: 0.000555 2022/09/28 07:47:42 - mmengine - INFO - Epoch(train) [177][100/586] lr: 5.000000e-05 eta: 2:06:13 time: 0.381891 data_time: 0.040654 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.805813 loss: 0.000531 2022/09/28 07:48:02 - mmengine - INFO - Epoch(train) [177][150/586] lr: 5.000000e-05 eta: 2:05:54 time: 0.384965 data_time: 0.029149 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.864477 loss: 0.000532 2022/09/28 07:48:21 - mmengine - INFO - Epoch(train) [177][200/586] lr: 5.000000e-05 eta: 2:05:35 time: 0.393689 data_time: 0.030409 memory: 7071 loss_kpt: 0.000568 acc_pose: 0.844258 loss: 0.000568 2022/09/28 07:48:41 - mmengine - INFO - Epoch(train) [177][250/586] lr: 5.000000e-05 eta: 2:05:16 time: 0.387434 data_time: 0.032451 memory: 7071 loss_kpt: 0.000546 acc_pose: 0.848838 loss: 0.000546 2022/09/28 07:49:00 - mmengine - INFO - Epoch(train) [177][300/586] lr: 5.000000e-05 eta: 2:04:57 time: 0.383719 data_time: 0.034789 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.902325 loss: 0.000538 2022/09/28 07:49:20 - mmengine - INFO - Epoch(train) [177][350/586] lr: 5.000000e-05 eta: 2:04:38 time: 0.393764 data_time: 0.032008 memory: 7071 loss_kpt: 0.000556 acc_pose: 0.817290 loss: 0.000556 2022/09/28 07:49:39 - mmengine - INFO - Epoch(train) [177][400/586] lr: 5.000000e-05 eta: 2:04:19 time: 0.380334 data_time: 0.030981 memory: 7071 loss_kpt: 0.000548 acc_pose: 0.843382 loss: 0.000548 2022/09/28 07:49:58 - mmengine - INFO - Epoch(train) [177][450/586] lr: 5.000000e-05 eta: 2:04:00 time: 0.388805 data_time: 0.039091 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.825935 loss: 0.000535 2022/09/28 07:50:17 - mmengine - INFO - Epoch(train) [177][500/586] lr: 5.000000e-05 eta: 2:03:41 time: 0.386963 data_time: 0.033938 memory: 7071 loss_kpt: 0.000549 acc_pose: 0.862493 loss: 0.000549 2022/09/28 07:50:38 - mmengine - INFO - Epoch(train) [177][550/586] lr: 5.000000e-05 eta: 2:03:22 time: 0.402370 data_time: 0.029762 memory: 7071 loss_kpt: 0.000541 acc_pose: 0.851621 loss: 0.000541 2022/09/28 07:50:51 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:51:11 - mmengine - INFO - Epoch(train) [178][50/586] lr: 5.000000e-05 eta: 2:02:46 time: 0.402405 data_time: 0.055227 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.881648 loss: 0.000528 2022/09/28 07:51:30 - mmengine - INFO - Epoch(train) [178][100/586] lr: 5.000000e-05 eta: 2:02:27 time: 0.382708 data_time: 0.033393 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.887288 loss: 0.000532 2022/09/28 07:51:50 - mmengine - INFO - Epoch(train) [178][150/586] lr: 5.000000e-05 eta: 2:02:08 time: 0.386390 data_time: 0.033138 memory: 7071 loss_kpt: 0.000539 acc_pose: 0.865168 loss: 0.000539 2022/09/28 07:52:10 - mmengine - INFO - Epoch(train) [178][200/586] lr: 5.000000e-05 eta: 2:01:49 time: 0.396691 data_time: 0.039879 memory: 7071 loss_kpt: 0.000551 acc_pose: 0.849157 loss: 0.000551 2022/09/28 07:52:29 - mmengine - INFO - Epoch(train) [178][250/586] lr: 5.000000e-05 eta: 2:01:30 time: 0.383119 data_time: 0.029802 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.900730 loss: 0.000537 2022/09/28 07:52:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:52:48 - mmengine - INFO - Epoch(train) [178][300/586] lr: 5.000000e-05 eta: 2:01:11 time: 0.383406 data_time: 0.030596 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.844632 loss: 0.000531 2022/09/28 07:53:07 - mmengine - INFO - Epoch(train) [178][350/586] lr: 5.000000e-05 eta: 2:00:52 time: 0.390533 data_time: 0.031508 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.909070 loss: 0.000533 2022/09/28 07:53:27 - mmengine - INFO - Epoch(train) [178][400/586] lr: 5.000000e-05 eta: 2:00:33 time: 0.391573 data_time: 0.031586 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.888673 loss: 0.000544 2022/09/28 07:53:46 - mmengine - INFO - Epoch(train) [178][450/586] lr: 5.000000e-05 eta: 2:00:14 time: 0.386768 data_time: 0.038943 memory: 7071 loss_kpt: 0.000550 acc_pose: 0.880909 loss: 0.000550 2022/09/28 07:54:05 - mmengine - INFO - Epoch(train) [178][500/586] lr: 5.000000e-05 eta: 1:59:55 time: 0.370702 data_time: 0.031267 memory: 7071 loss_kpt: 0.000553 acc_pose: 0.851049 loss: 0.000553 2022/09/28 07:54:25 - mmengine - INFO - Epoch(train) [178][550/586] lr: 5.000000e-05 eta: 1:59:36 time: 0.393760 data_time: 0.034697 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.909268 loss: 0.000535 2022/09/28 07:54:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:54:59 - mmengine - INFO - Epoch(train) [179][50/586] lr: 5.000000e-05 eta: 1:59:01 time: 0.399930 data_time: 0.050480 memory: 7071 loss_kpt: 0.000550 acc_pose: 0.875542 loss: 0.000550 2022/09/28 07:55:18 - mmengine - INFO - Epoch(train) [179][100/586] lr: 5.000000e-05 eta: 1:58:42 time: 0.388125 data_time: 0.052825 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.799851 loss: 0.000529 2022/09/28 07:55:37 - mmengine - INFO - Epoch(train) [179][150/586] lr: 5.000000e-05 eta: 1:58:23 time: 0.382979 data_time: 0.043958 memory: 7071 loss_kpt: 0.000506 acc_pose: 0.861773 loss: 0.000506 2022/09/28 07:55:56 - mmengine - INFO - Epoch(train) [179][200/586] lr: 5.000000e-05 eta: 1:58:03 time: 0.373662 data_time: 0.034655 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.852709 loss: 0.000537 2022/09/28 07:56:16 - mmengine - INFO - Epoch(train) [179][250/586] lr: 5.000000e-05 eta: 1:57:44 time: 0.388259 data_time: 0.033384 memory: 7071 loss_kpt: 0.000541 acc_pose: 0.878336 loss: 0.000541 2022/09/28 07:56:35 - mmengine - INFO - Epoch(train) [179][300/586] lr: 5.000000e-05 eta: 1:57:25 time: 0.381722 data_time: 0.031770 memory: 7071 loss_kpt: 0.000554 acc_pose: 0.808253 loss: 0.000554 2022/09/28 07:56:54 - mmengine - INFO - Epoch(train) [179][350/586] lr: 5.000000e-05 eta: 1:57:06 time: 0.376050 data_time: 0.035218 memory: 7071 loss_kpt: 0.000551 acc_pose: 0.874346 loss: 0.000551 2022/09/28 07:57:13 - mmengine - INFO - Epoch(train) [179][400/586] lr: 5.000000e-05 eta: 1:56:47 time: 0.384130 data_time: 0.031308 memory: 7071 loss_kpt: 0.000550 acc_pose: 0.869416 loss: 0.000550 2022/09/28 07:57:32 - mmengine - INFO - Epoch(train) [179][450/586] lr: 5.000000e-05 eta: 1:56:28 time: 0.384178 data_time: 0.029797 memory: 7071 loss_kpt: 0.000539 acc_pose: 0.878181 loss: 0.000539 2022/09/28 07:57:51 - mmengine - INFO - Epoch(train) [179][500/586] lr: 5.000000e-05 eta: 1:56:09 time: 0.382029 data_time: 0.033380 memory: 7071 loss_kpt: 0.000518 acc_pose: 0.911263 loss: 0.000518 2022/09/28 07:58:11 - mmengine - INFO - Epoch(train) [179][550/586] lr: 5.000000e-05 eta: 1:55:50 time: 0.390139 data_time: 0.033761 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.848259 loss: 0.000536 2022/09/28 07:58:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:58:44 - mmengine - INFO - Epoch(train) [180][50/586] lr: 5.000000e-05 eta: 1:55:15 time: 0.392009 data_time: 0.040643 memory: 7071 loss_kpt: 0.000551 acc_pose: 0.862757 loss: 0.000551 2022/09/28 07:59:03 - mmengine - INFO - Epoch(train) [180][100/586] lr: 5.000000e-05 eta: 1:54:56 time: 0.381825 data_time: 0.036467 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.838751 loss: 0.000536 2022/09/28 07:59:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 07:59:22 - mmengine - INFO - Epoch(train) [180][150/586] lr: 5.000000e-05 eta: 1:54:37 time: 0.381223 data_time: 0.029906 memory: 7071 loss_kpt: 0.000547 acc_pose: 0.882936 loss: 0.000547 2022/09/28 07:59:41 - mmengine - INFO - Epoch(train) [180][200/586] lr: 5.000000e-05 eta: 1:54:18 time: 0.389272 data_time: 0.046096 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.870769 loss: 0.000542 2022/09/28 08:00:00 - mmengine - INFO - Epoch(train) [180][250/586] lr: 5.000000e-05 eta: 1:53:59 time: 0.380545 data_time: 0.031468 memory: 7071 loss_kpt: 0.000550 acc_pose: 0.872016 loss: 0.000550 2022/09/28 08:00:20 - mmengine - INFO - Epoch(train) [180][300/586] lr: 5.000000e-05 eta: 1:53:39 time: 0.385165 data_time: 0.034621 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.871775 loss: 0.000536 2022/09/28 08:00:39 - mmengine - INFO - Epoch(train) [180][350/586] lr: 5.000000e-05 eta: 1:53:20 time: 0.384020 data_time: 0.033931 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.888766 loss: 0.000525 2022/09/28 08:00:58 - mmengine - INFO - Epoch(train) [180][400/586] lr: 5.000000e-05 eta: 1:53:01 time: 0.383186 data_time: 0.032993 memory: 7071 loss_kpt: 0.000539 acc_pose: 0.866406 loss: 0.000539 2022/09/28 08:01:18 - mmengine - INFO - Epoch(train) [180][450/586] lr: 5.000000e-05 eta: 1:52:42 time: 0.401767 data_time: 0.029126 memory: 7071 loss_kpt: 0.000550 acc_pose: 0.910583 loss: 0.000550 2022/09/28 08:01:38 - mmengine - INFO - Epoch(train) [180][500/586] lr: 5.000000e-05 eta: 1:52:23 time: 0.401417 data_time: 0.045081 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.880289 loss: 0.000527 2022/09/28 08:01:58 - mmengine - INFO - Epoch(train) [180][550/586] lr: 5.000000e-05 eta: 1:52:04 time: 0.389294 data_time: 0.030291 memory: 7071 loss_kpt: 0.000545 acc_pose: 0.830739 loss: 0.000545 2022/09/28 08:02:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:02:11 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/09/28 08:02:38 - mmengine - INFO - Epoch(val) [180][50/407] eta: 0:01:59 time: 0.335858 data_time: 0.130601 memory: 7071 2022/09/28 08:02:55 - mmengine - INFO - Epoch(val) [180][100/407] eta: 0:01:44 time: 0.340861 data_time: 0.140908 memory: 1674 2022/09/28 08:03:11 - mmengine - INFO - Epoch(val) [180][150/407] eta: 0:01:22 time: 0.320172 data_time: 0.119606 memory: 1674 2022/09/28 08:03:28 - mmengine - INFO - Epoch(val) [180][200/407] eta: 0:01:08 time: 0.332896 data_time: 0.143249 memory: 1674 2022/09/28 08:03:43 - mmengine - INFO - Epoch(val) [180][250/407] eta: 0:00:47 time: 0.305696 data_time: 0.099018 memory: 1674 2022/09/28 08:03:59 - mmengine - INFO - Epoch(val) [180][300/407] eta: 0:00:33 time: 0.312655 data_time: 0.104491 memory: 1674 2022/09/28 08:04:16 - mmengine - INFO - Epoch(val) [180][350/407] eta: 0:00:19 time: 0.345339 data_time: 0.144561 memory: 1674 2022/09/28 08:04:24 - mmengine - INFO - Epoch(val) [180][400/407] eta: 0:00:01 time: 0.162684 data_time: 0.051190 memory: 1674 2022/09/28 08:04:56 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 08:05:09 - mmengine - INFO - Epoch(val) [180][407/407] coco/AP: 0.733815 coco/AP .5: 0.903012 coco/AP .75: 0.813742 coco/AP (M): 0.698488 coco/AP (L): 0.799653 coco/AR: 0.788759 coco/AR .5: 0.941593 coco/AR .75: 0.859414 coco/AR (M): 0.746353 coco/AR (L): 0.849350 2022/09/28 08:05:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_170.pth is removed 2022/09/28 08:05:12 - mmengine - INFO - The best checkpoint with 0.7338 coco/AP at 180 epoch is saved to best_coco/AP_epoch_180.pth. 2022/09/28 08:05:31 - mmengine - INFO - Epoch(train) [181][50/586] lr: 5.000000e-05 eta: 1:51:29 time: 0.379399 data_time: 0.036516 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.818697 loss: 0.000542 2022/09/28 08:05:51 - mmengine - INFO - Epoch(train) [181][100/586] lr: 5.000000e-05 eta: 1:51:10 time: 0.393746 data_time: 0.033127 memory: 7071 loss_kpt: 0.000553 acc_pose: 0.883596 loss: 0.000553 2022/09/28 08:06:10 - mmengine - INFO - Epoch(train) [181][150/586] lr: 5.000000e-05 eta: 1:50:51 time: 0.381905 data_time: 0.030649 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.826721 loss: 0.000533 2022/09/28 08:06:29 - mmengine - INFO - Epoch(train) [181][200/586] lr: 5.000000e-05 eta: 1:50:32 time: 0.383027 data_time: 0.030696 memory: 7071 loss_kpt: 0.000562 acc_pose: 0.866981 loss: 0.000562 2022/09/28 08:06:48 - mmengine - INFO - Epoch(train) [181][250/586] lr: 5.000000e-05 eta: 1:50:13 time: 0.387711 data_time: 0.041799 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.886790 loss: 0.000534 2022/09/28 08:07:08 - mmengine - INFO - Epoch(train) [181][300/586] lr: 5.000000e-05 eta: 1:49:54 time: 0.389442 data_time: 0.035617 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.889890 loss: 0.000528 2022/09/28 08:07:27 - mmengine - INFO - Epoch(train) [181][350/586] lr: 5.000000e-05 eta: 1:49:35 time: 0.384469 data_time: 0.033716 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.863229 loss: 0.000527 2022/09/28 08:07:46 - mmengine - INFO - Epoch(train) [181][400/586] lr: 5.000000e-05 eta: 1:49:16 time: 0.377803 data_time: 0.030274 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.892255 loss: 0.000532 2022/09/28 08:08:05 - mmengine - INFO - Epoch(train) [181][450/586] lr: 5.000000e-05 eta: 1:48:57 time: 0.381531 data_time: 0.035599 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.860583 loss: 0.000534 2022/09/28 08:08:24 - mmengine - INFO - Epoch(train) [181][500/586] lr: 5.000000e-05 eta: 1:48:38 time: 0.381768 data_time: 0.032768 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.876328 loss: 0.000533 2022/09/28 08:08:32 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:08:43 - mmengine - INFO - Epoch(train) [181][550/586] lr: 5.000000e-05 eta: 1:48:19 time: 0.379745 data_time: 0.033915 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.915088 loss: 0.000537 2022/09/28 08:08:57 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:09:17 - mmengine - INFO - Epoch(train) [182][50/586] lr: 5.000000e-05 eta: 1:47:44 time: 0.401795 data_time: 0.043668 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.875588 loss: 0.000532 2022/09/28 08:09:37 - mmengine - INFO - Epoch(train) [182][100/586] lr: 5.000000e-05 eta: 1:47:25 time: 0.393081 data_time: 0.041084 memory: 7071 loss_kpt: 0.000548 acc_pose: 0.878735 loss: 0.000548 2022/09/28 08:09:56 - mmengine - INFO - Epoch(train) [182][150/586] lr: 5.000000e-05 eta: 1:47:06 time: 0.383856 data_time: 0.030006 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.888154 loss: 0.000538 2022/09/28 08:10:15 - mmengine - INFO - Epoch(train) [182][200/586] lr: 5.000000e-05 eta: 1:46:47 time: 0.374105 data_time: 0.030714 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.882706 loss: 0.000524 2022/09/28 08:10:34 - mmengine - INFO - Epoch(train) [182][250/586] lr: 5.000000e-05 eta: 1:46:28 time: 0.385132 data_time: 0.040674 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.828326 loss: 0.000529 2022/09/28 08:10:54 - mmengine - INFO - Epoch(train) [182][300/586] lr: 5.000000e-05 eta: 1:46:09 time: 0.391113 data_time: 0.033241 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.898369 loss: 0.000543 2022/09/28 08:11:13 - mmengine - INFO - Epoch(train) [182][350/586] lr: 5.000000e-05 eta: 1:45:50 time: 0.383570 data_time: 0.036100 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.834521 loss: 0.000535 2022/09/28 08:11:32 - mmengine - INFO - Epoch(train) [182][400/586] lr: 5.000000e-05 eta: 1:45:30 time: 0.377207 data_time: 0.033343 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.881477 loss: 0.000544 2022/09/28 08:11:51 - mmengine - INFO - Epoch(train) [182][450/586] lr: 5.000000e-05 eta: 1:45:11 time: 0.376205 data_time: 0.035400 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.900968 loss: 0.000529 2022/09/28 08:12:10 - mmengine - INFO - Epoch(train) [182][500/586] lr: 5.000000e-05 eta: 1:44:52 time: 0.379695 data_time: 0.034402 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.863251 loss: 0.000537 2022/09/28 08:12:29 - mmengine - INFO - Epoch(train) [182][550/586] lr: 5.000000e-05 eta: 1:44:33 time: 0.390883 data_time: 0.030510 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.903852 loss: 0.000534 2022/09/28 08:12:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:13:03 - mmengine - INFO - Epoch(train) [183][50/586] lr: 5.000000e-05 eta: 1:43:59 time: 0.403806 data_time: 0.038924 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.862668 loss: 0.000522 2022/09/28 08:13:22 - mmengine - INFO - Epoch(train) [183][100/586] lr: 5.000000e-05 eta: 1:43:39 time: 0.388539 data_time: 0.032832 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.853929 loss: 0.000536 2022/09/28 08:13:41 - mmengine - INFO - Epoch(train) [183][150/586] lr: 5.000000e-05 eta: 1:43:20 time: 0.383529 data_time: 0.033569 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.880662 loss: 0.000532 2022/09/28 08:14:01 - mmengine - INFO - Epoch(train) [183][200/586] lr: 5.000000e-05 eta: 1:43:01 time: 0.384857 data_time: 0.038256 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.854998 loss: 0.000536 2022/09/28 08:14:20 - mmengine - INFO - Epoch(train) [183][250/586] lr: 5.000000e-05 eta: 1:42:42 time: 0.389450 data_time: 0.030894 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.826447 loss: 0.000543 2022/09/28 08:14:39 - mmengine - INFO - Epoch(train) [183][300/586] lr: 5.000000e-05 eta: 1:42:23 time: 0.376832 data_time: 0.034830 memory: 7071 loss_kpt: 0.000514 acc_pose: 0.875250 loss: 0.000514 2022/09/28 08:14:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:14:58 - mmengine - INFO - Epoch(train) [183][350/586] lr: 5.000000e-05 eta: 1:42:04 time: 0.387337 data_time: 0.034601 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.868494 loss: 0.000544 2022/09/28 08:15:18 - mmengine - INFO - Epoch(train) [183][400/586] lr: 5.000000e-05 eta: 1:41:45 time: 0.383493 data_time: 0.038084 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.861995 loss: 0.000544 2022/09/28 08:15:37 - mmengine - INFO - Epoch(train) [183][450/586] lr: 5.000000e-05 eta: 1:41:26 time: 0.379741 data_time: 0.028542 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.838962 loss: 0.000535 2022/09/28 08:15:56 - mmengine - INFO - Epoch(train) [183][500/586] lr: 5.000000e-05 eta: 1:41:07 time: 0.392936 data_time: 0.046639 memory: 7071 loss_kpt: 0.000546 acc_pose: 0.851737 loss: 0.000546 2022/09/28 08:16:16 - mmengine - INFO - Epoch(train) [183][550/586] lr: 5.000000e-05 eta: 1:40:48 time: 0.399308 data_time: 0.034782 memory: 7071 loss_kpt: 0.000545 acc_pose: 0.834744 loss: 0.000545 2022/09/28 08:16:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:16:51 - mmengine - INFO - Epoch(train) [184][50/586] lr: 5.000000e-05 eta: 1:40:14 time: 0.404455 data_time: 0.037044 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.916733 loss: 0.000524 2022/09/28 08:17:11 - mmengine - INFO - Epoch(train) [184][100/586] lr: 5.000000e-05 eta: 1:39:55 time: 0.401055 data_time: 0.033220 memory: 7071 loss_kpt: 0.000559 acc_pose: 0.861345 loss: 0.000559 2022/09/28 08:17:30 - mmengine - INFO - Epoch(train) [184][150/586] lr: 5.000000e-05 eta: 1:39:36 time: 0.388358 data_time: 0.032842 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.848508 loss: 0.000527 2022/09/28 08:17:50 - mmengine - INFO - Epoch(train) [184][200/586] lr: 5.000000e-05 eta: 1:39:17 time: 0.390778 data_time: 0.038563 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.912264 loss: 0.000535 2022/09/28 08:18:09 - mmengine - INFO - Epoch(train) [184][250/586] lr: 5.000000e-05 eta: 1:38:57 time: 0.372655 data_time: 0.033922 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.795410 loss: 0.000532 2022/09/28 08:18:28 - mmengine - INFO - Epoch(train) [184][300/586] lr: 5.000000e-05 eta: 1:38:38 time: 0.391463 data_time: 0.031063 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.899009 loss: 0.000524 2022/09/28 08:18:48 - mmengine - INFO - Epoch(train) [184][350/586] lr: 5.000000e-05 eta: 1:38:20 time: 0.394254 data_time: 0.031767 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.880504 loss: 0.000526 2022/09/28 08:19:07 - mmengine - INFO - Epoch(train) [184][400/586] lr: 5.000000e-05 eta: 1:38:01 time: 0.389348 data_time: 0.031105 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.911257 loss: 0.000528 2022/09/28 08:19:27 - mmengine - INFO - Epoch(train) [184][450/586] lr: 5.000000e-05 eta: 1:37:41 time: 0.381576 data_time: 0.030685 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.837341 loss: 0.000543 2022/09/28 08:19:46 - mmengine - INFO - Epoch(train) [184][500/586] lr: 5.000000e-05 eta: 1:37:22 time: 0.381634 data_time: 0.029577 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.867843 loss: 0.000534 2022/09/28 08:20:06 - mmengine - INFO - Epoch(train) [184][550/586] lr: 5.000000e-05 eta: 1:37:03 time: 0.397379 data_time: 0.033456 memory: 7071 loss_kpt: 0.000548 acc_pose: 0.833790 loss: 0.000548 2022/09/28 08:20:19 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:20:39 - mmengine - INFO - Epoch(train) [185][50/586] lr: 5.000000e-05 eta: 1:36:29 time: 0.394160 data_time: 0.034061 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.854632 loss: 0.000526 2022/09/28 08:20:58 - mmengine - INFO - Epoch(train) [185][100/586] lr: 5.000000e-05 eta: 1:36:10 time: 0.375250 data_time: 0.036249 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.900862 loss: 0.000536 2022/09/28 08:21:17 - mmengine - INFO - Epoch(train) [185][150/586] lr: 5.000000e-05 eta: 1:35:51 time: 0.382567 data_time: 0.033322 memory: 7071 loss_kpt: 0.000521 acc_pose: 0.894190 loss: 0.000521 2022/09/28 08:21:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:21:36 - mmengine - INFO - Epoch(train) [185][200/586] lr: 5.000000e-05 eta: 1:35:32 time: 0.389450 data_time: 0.030424 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.858843 loss: 0.000534 2022/09/28 08:21:56 - mmengine - INFO - Epoch(train) [185][250/586] lr: 5.000000e-05 eta: 1:35:13 time: 0.384044 data_time: 0.034894 memory: 7071 loss_kpt: 0.000513 acc_pose: 0.866897 loss: 0.000513 2022/09/28 08:22:15 - mmengine - INFO - Epoch(train) [185][300/586] lr: 5.000000e-05 eta: 1:34:54 time: 0.380770 data_time: 0.030420 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.875999 loss: 0.000538 2022/09/28 08:22:34 - mmengine - INFO - Epoch(train) [185][350/586] lr: 5.000000e-05 eta: 1:34:35 time: 0.388531 data_time: 0.034958 memory: 7071 loss_kpt: 0.000539 acc_pose: 0.870046 loss: 0.000539 2022/09/28 08:24:00 - mmengine - INFO - Epoch(train) [185][400/586] lr: 5.000000e-05 eta: 1:34:25 time: 1.724706 data_time: 0.041136 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.900336 loss: 0.000544 2022/09/28 08:24:19 - mmengine - INFO - Epoch(train) [185][450/586] lr: 5.000000e-05 eta: 1:34:06 time: 0.378347 data_time: 0.035006 memory: 7071 loss_kpt: 0.000518 acc_pose: 0.856592 loss: 0.000518 2022/09/28 08:24:38 - mmengine - INFO - Epoch(train) [185][500/586] lr: 5.000000e-05 eta: 1:33:46 time: 0.377254 data_time: 0.033408 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.862173 loss: 0.000516 2022/09/28 08:24:58 - mmengine - INFO - Epoch(train) [185][550/586] lr: 5.000000e-05 eta: 1:33:27 time: 0.386009 data_time: 0.035573 memory: 7071 loss_kpt: 0.000552 acc_pose: 0.812533 loss: 0.000552 2022/09/28 08:25:11 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:25:31 - mmengine - INFO - Epoch(train) [186][50/586] lr: 5.000000e-05 eta: 1:32:53 time: 0.397002 data_time: 0.041240 memory: 7071 loss_kpt: 0.000549 acc_pose: 0.883825 loss: 0.000549 2022/09/28 08:25:51 - mmengine - INFO - Epoch(train) [186][100/586] lr: 5.000000e-05 eta: 1:32:34 time: 0.393107 data_time: 0.038932 memory: 7071 loss_kpt: 0.000539 acc_pose: 0.907154 loss: 0.000539 2022/09/28 08:26:10 - mmengine - INFO - Epoch(train) [186][150/586] lr: 5.000000e-05 eta: 1:32:15 time: 0.382366 data_time: 0.030493 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.881135 loss: 0.000526 2022/09/28 08:26:29 - mmengine - INFO - Epoch(train) [186][200/586] lr: 5.000000e-05 eta: 1:31:56 time: 0.383077 data_time: 0.028278 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.850794 loss: 0.000524 2022/09/28 08:26:48 - mmengine - INFO - Epoch(train) [186][250/586] lr: 5.000000e-05 eta: 1:31:37 time: 0.382003 data_time: 0.038817 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.915487 loss: 0.000543 2022/09/28 08:27:08 - mmengine - INFO - Epoch(train) [186][300/586] lr: 5.000000e-05 eta: 1:31:18 time: 0.396751 data_time: 0.032642 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.863547 loss: 0.000530 2022/09/28 08:27:27 - mmengine - INFO - Epoch(train) [186][350/586] lr: 5.000000e-05 eta: 1:30:58 time: 0.386620 data_time: 0.038835 memory: 7071 loss_kpt: 0.000514 acc_pose: 0.900297 loss: 0.000514 2022/09/28 08:27:47 - mmengine - INFO - Epoch(train) [186][400/586] lr: 5.000000e-05 eta: 1:30:39 time: 0.389906 data_time: 0.031847 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.864314 loss: 0.000542 2022/09/28 08:28:06 - mmengine - INFO - Epoch(train) [186][450/586] lr: 5.000000e-05 eta: 1:30:20 time: 0.389263 data_time: 0.036530 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.909062 loss: 0.000527 2022/09/28 08:28:26 - mmengine - INFO - Epoch(train) [186][500/586] lr: 5.000000e-05 eta: 1:30:01 time: 0.383442 data_time: 0.030591 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.916543 loss: 0.000524 2022/09/28 08:28:44 - mmengine - INFO - Epoch(train) [186][550/586] lr: 5.000000e-05 eta: 1:29:42 time: 0.375420 data_time: 0.031535 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.819148 loss: 0.000530 2022/09/28 08:28:58 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:29:00 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:29:17 - mmengine - INFO - Epoch(train) [187][50/586] lr: 5.000000e-05 eta: 1:29:08 time: 0.391750 data_time: 0.045185 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.920049 loss: 0.000522 2022/09/28 08:29:37 - mmengine - INFO - Epoch(train) [187][100/586] lr: 5.000000e-05 eta: 1:28:49 time: 0.383106 data_time: 0.039087 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.873271 loss: 0.000531 2022/09/28 08:29:56 - mmengine - INFO - Epoch(train) [187][150/586] lr: 5.000000e-05 eta: 1:28:30 time: 0.393158 data_time: 0.043784 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.834267 loss: 0.000544 2022/09/28 08:30:15 - mmengine - INFO - Epoch(train) [187][200/586] lr: 5.000000e-05 eta: 1:28:10 time: 0.381225 data_time: 0.035385 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.868805 loss: 0.000531 2022/09/28 08:30:34 - mmengine - INFO - Epoch(train) [187][250/586] lr: 5.000000e-05 eta: 1:27:51 time: 0.379210 data_time: 0.031032 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.835453 loss: 0.000524 2022/09/28 08:30:54 - mmengine - INFO - Epoch(train) [187][300/586] lr: 5.000000e-05 eta: 1:27:32 time: 0.387696 data_time: 0.033947 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.832143 loss: 0.000537 2022/09/28 08:31:13 - mmengine - INFO - Epoch(train) [187][350/586] lr: 5.000000e-05 eta: 1:27:13 time: 0.387694 data_time: 0.040268 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.868978 loss: 0.000543 2022/09/28 08:31:32 - mmengine - INFO - Epoch(train) [187][400/586] lr: 5.000000e-05 eta: 1:26:54 time: 0.378186 data_time: 0.042268 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.863961 loss: 0.000533 2022/09/28 08:31:51 - mmengine - INFO - Epoch(train) [187][450/586] lr: 5.000000e-05 eta: 1:26:35 time: 0.381185 data_time: 0.029582 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.837462 loss: 0.000533 2022/09/28 08:32:10 - mmengine - INFO - Epoch(train) [187][500/586] lr: 5.000000e-05 eta: 1:26:16 time: 0.381506 data_time: 0.032952 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.900174 loss: 0.000532 2022/09/28 08:32:30 - mmengine - INFO - Epoch(train) [187][550/586] lr: 5.000000e-05 eta: 1:25:57 time: 0.389900 data_time: 0.034359 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.815369 loss: 0.000529 2022/09/28 08:32:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:33:03 - mmengine - INFO - Epoch(train) [188][50/586] lr: 5.000000e-05 eta: 1:25:23 time: 0.397224 data_time: 0.043358 memory: 7071 loss_kpt: 0.000547 acc_pose: 0.883779 loss: 0.000547 2022/09/28 08:33:23 - mmengine - INFO - Epoch(train) [188][100/586] lr: 5.000000e-05 eta: 1:25:04 time: 0.389125 data_time: 0.030003 memory: 7071 loss_kpt: 0.000513 acc_pose: 0.839847 loss: 0.000513 2022/09/28 08:33:42 - mmengine - INFO - Epoch(train) [188][150/586] lr: 5.000000e-05 eta: 1:24:45 time: 0.383776 data_time: 0.032397 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.801132 loss: 0.000535 2022/09/28 08:34:01 - mmengine - INFO - Epoch(train) [188][200/586] lr: 5.000000e-05 eta: 1:24:25 time: 0.381495 data_time: 0.036668 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.864076 loss: 0.000525 2022/09/28 08:34:21 - mmengine - INFO - Epoch(train) [188][250/586] lr: 5.000000e-05 eta: 1:24:06 time: 0.394394 data_time: 0.029037 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.905685 loss: 0.000516 2022/09/28 08:34:40 - mmengine - INFO - Epoch(train) [188][300/586] lr: 5.000000e-05 eta: 1:23:47 time: 0.386196 data_time: 0.047129 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.842798 loss: 0.000534 2022/09/28 08:35:00 - mmengine - INFO - Epoch(train) [188][350/586] lr: 5.000000e-05 eta: 1:23:28 time: 0.396896 data_time: 0.032964 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.887989 loss: 0.000535 2022/09/28 08:35:19 - mmengine - INFO - Epoch(train) [188][400/586] lr: 5.000000e-05 eta: 1:23:09 time: 0.381933 data_time: 0.032176 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.864838 loss: 0.000526 2022/09/28 08:35:26 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:35:38 - mmengine - INFO - Epoch(train) [188][450/586] lr: 5.000000e-05 eta: 1:22:50 time: 0.379144 data_time: 0.031858 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.861723 loss: 0.000534 2022/09/28 08:35:58 - mmengine - INFO - Epoch(train) [188][500/586] lr: 5.000000e-05 eta: 1:22:31 time: 0.391021 data_time: 0.032213 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.898622 loss: 0.000534 2022/09/28 08:36:17 - mmengine - INFO - Epoch(train) [188][550/586] lr: 5.000000e-05 eta: 1:22:12 time: 0.382428 data_time: 0.038955 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.908646 loss: 0.000534 2022/09/28 08:36:31 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:36:50 - mmengine - INFO - Epoch(train) [189][50/586] lr: 5.000000e-05 eta: 1:21:38 time: 0.395525 data_time: 0.047045 memory: 7071 loss_kpt: 0.000521 acc_pose: 0.893002 loss: 0.000521 2022/09/28 08:37:10 - mmengine - INFO - Epoch(train) [189][100/586] lr: 5.000000e-05 eta: 1:21:19 time: 0.384549 data_time: 0.033139 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.869488 loss: 0.000526 2022/09/28 08:37:29 - mmengine - INFO - Epoch(train) [189][150/586] lr: 5.000000e-05 eta: 1:21:00 time: 0.381735 data_time: 0.030113 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.824423 loss: 0.000523 2022/09/28 08:37:48 - mmengine - INFO - Epoch(train) [189][200/586] lr: 5.000000e-05 eta: 1:20:41 time: 0.385989 data_time: 0.039256 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.873320 loss: 0.000530 2022/09/28 08:38:07 - mmengine - INFO - Epoch(train) [189][250/586] lr: 5.000000e-05 eta: 1:20:22 time: 0.385771 data_time: 0.034646 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.838948 loss: 0.000538 2022/09/28 08:38:26 - mmengine - INFO - Epoch(train) [189][300/586] lr: 5.000000e-05 eta: 1:20:03 time: 0.380929 data_time: 0.038152 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.887052 loss: 0.000538 2022/09/28 08:38:46 - mmengine - INFO - Epoch(train) [189][350/586] lr: 5.000000e-05 eta: 1:19:44 time: 0.392269 data_time: 0.038462 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.916702 loss: 0.000530 2022/09/28 08:39:06 - mmengine - INFO - Epoch(train) [189][400/586] lr: 5.000000e-05 eta: 1:19:24 time: 0.388097 data_time: 0.037684 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.875000 loss: 0.000523 2022/09/28 08:39:24 - mmengine - INFO - Epoch(train) [189][450/586] lr: 5.000000e-05 eta: 1:19:05 time: 0.376189 data_time: 0.036697 memory: 7071 loss_kpt: 0.000520 acc_pose: 0.825975 loss: 0.000520 2022/09/28 08:39:44 - mmengine - INFO - Epoch(train) [189][500/586] lr: 5.000000e-05 eta: 1:18:46 time: 0.389748 data_time: 0.037555 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.859913 loss: 0.000523 2022/09/28 08:40:03 - mmengine - INFO - Epoch(train) [189][550/586] lr: 5.000000e-05 eta: 1:18:27 time: 0.379060 data_time: 0.033011 memory: 7071 loss_kpt: 0.000548 acc_pose: 0.783328 loss: 0.000548 2022/09/28 08:40:16 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:40:36 - mmengine - INFO - Epoch(train) [190][50/586] lr: 5.000000e-05 eta: 1:17:53 time: 0.397961 data_time: 0.037036 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.897780 loss: 0.000544 2022/09/28 08:40:56 - mmengine - INFO - Epoch(train) [190][100/586] lr: 5.000000e-05 eta: 1:17:34 time: 0.385951 data_time: 0.031910 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.937082 loss: 0.000527 2022/09/28 08:41:15 - mmengine - INFO - Epoch(train) [190][150/586] lr: 5.000000e-05 eta: 1:17:15 time: 0.392536 data_time: 0.034268 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.891633 loss: 0.000534 2022/09/28 08:41:34 - mmengine - INFO - Epoch(train) [190][200/586] lr: 5.000000e-05 eta: 1:16:56 time: 0.374862 data_time: 0.033212 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.860732 loss: 0.000531 2022/09/28 08:41:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:41:54 - mmengine - INFO - Epoch(train) [190][250/586] lr: 5.000000e-05 eta: 1:16:37 time: 0.392813 data_time: 0.035053 memory: 7071 loss_kpt: 0.000521 acc_pose: 0.909364 loss: 0.000521 2022/09/28 08:42:14 - mmengine - INFO - Epoch(train) [190][300/586] lr: 5.000000e-05 eta: 1:16:18 time: 0.400194 data_time: 0.032331 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.885586 loss: 0.000526 2022/09/28 08:42:33 - mmengine - INFO - Epoch(train) [190][350/586] lr: 5.000000e-05 eta: 1:15:59 time: 0.385121 data_time: 0.039544 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.837538 loss: 0.000535 2022/09/28 08:42:53 - mmengine - INFO - Epoch(train) [190][400/586] lr: 5.000000e-05 eta: 1:15:40 time: 0.400416 data_time: 0.037823 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.825340 loss: 0.000534 2022/09/28 08:43:12 - mmengine - INFO - Epoch(train) [190][450/586] lr: 5.000000e-05 eta: 1:15:21 time: 0.390639 data_time: 0.040277 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.909742 loss: 0.000532 2022/09/28 08:43:32 - mmengine - INFO - Epoch(train) [190][500/586] lr: 5.000000e-05 eta: 1:15:02 time: 0.390779 data_time: 0.041558 memory: 7071 loss_kpt: 0.000540 acc_pose: 0.886833 loss: 0.000540 2022/09/28 08:43:51 - mmengine - INFO - Epoch(train) [190][550/586] lr: 5.000000e-05 eta: 1:14:43 time: 0.380575 data_time: 0.029754 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.914076 loss: 0.000529 2022/09/28 08:44:05 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:44:05 - mmengine - INFO - Saving checkpoint at 190 epochs 2022/09/28 08:44:32 - mmengine - INFO - Epoch(val) [190][50/407] eta: 0:02:03 time: 0.347067 data_time: 0.146719 memory: 7071 2022/09/28 08:44:48 - mmengine - INFO - Epoch(val) [190][100/407] eta: 0:01:40 time: 0.326920 data_time: 0.126754 memory: 1674 2022/09/28 08:45:05 - mmengine - INFO - Epoch(val) [190][150/407] eta: 0:01:25 time: 0.331929 data_time: 0.142655 memory: 1674 2022/09/28 08:45:21 - mmengine - INFO - Epoch(val) [190][200/407] eta: 0:01:06 time: 0.323293 data_time: 0.122069 memory: 1674 2022/09/28 08:45:37 - mmengine - INFO - Epoch(val) [190][250/407] eta: 0:00:49 time: 0.316579 data_time: 0.115111 memory: 1674 2022/09/28 08:45:54 - mmengine - INFO - Epoch(val) [190][300/407] eta: 0:00:36 time: 0.340433 data_time: 0.131658 memory: 1674 2022/09/28 08:46:10 - mmengine - INFO - Epoch(val) [190][350/407] eta: 0:00:19 time: 0.334173 data_time: 0.145555 memory: 1674 2022/09/28 08:46:18 - mmengine - INFO - Epoch(val) [190][400/407] eta: 0:00:01 time: 0.160234 data_time: 0.047497 memory: 1674 2022/09/28 08:46:51 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 08:47:04 - mmengine - INFO - Epoch(val) [190][407/407] coco/AP: 0.734892 coco/AP .5: 0.904082 coco/AP .75: 0.816289 coco/AP (M): 0.700156 coco/AP (L): 0.800181 coco/AR: 0.789389 coco/AR .5: 0.941278 coco/AR .75: 0.860831 coco/AR (M): 0.746900 coco/AR (L): 0.850242 2022/09/28 08:47:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_180.pth is removed 2022/09/28 08:47:06 - mmengine - INFO - The best checkpoint with 0.7349 coco/AP at 190 epoch is saved to best_coco/AP_epoch_190.pth. 2022/09/28 08:47:26 - mmengine - INFO - Epoch(train) [191][50/586] lr: 5.000000e-05 eta: 1:14:09 time: 0.394635 data_time: 0.039313 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.876922 loss: 0.000527 2022/09/28 08:47:45 - mmengine - INFO - Epoch(train) [191][100/586] lr: 5.000000e-05 eta: 1:13:50 time: 0.378916 data_time: 0.034832 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.832622 loss: 0.000532 2022/09/28 08:48:04 - mmengine - INFO - Epoch(train) [191][150/586] lr: 5.000000e-05 eta: 1:13:31 time: 0.386173 data_time: 0.034625 memory: 7071 loss_kpt: 0.000545 acc_pose: 0.857026 loss: 0.000545 2022/09/28 08:48:24 - mmengine - INFO - Epoch(train) [191][200/586] lr: 5.000000e-05 eta: 1:13:11 time: 0.385651 data_time: 0.027888 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.863223 loss: 0.000531 2022/09/28 08:48:43 - mmengine - INFO - Epoch(train) [191][250/586] lr: 5.000000e-05 eta: 1:12:52 time: 0.380342 data_time: 0.030986 memory: 7071 loss_kpt: 0.000540 acc_pose: 0.895483 loss: 0.000540 2022/09/28 08:49:02 - mmengine - INFO - Epoch(train) [191][300/586] lr: 5.000000e-05 eta: 1:12:33 time: 0.384909 data_time: 0.039572 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.883741 loss: 0.000530 2022/09/28 08:49:21 - mmengine - INFO - Epoch(train) [191][350/586] lr: 5.000000e-05 eta: 1:12:14 time: 0.384044 data_time: 0.035544 memory: 7071 loss_kpt: 0.000517 acc_pose: 0.865045 loss: 0.000517 2022/09/28 08:49:41 - mmengine - INFO - Epoch(train) [191][400/586] lr: 5.000000e-05 eta: 1:11:55 time: 0.388083 data_time: 0.050011 memory: 7071 loss_kpt: 0.000540 acc_pose: 0.916384 loss: 0.000540 2022/09/28 08:50:00 - mmengine - INFO - Epoch(train) [191][450/586] lr: 5.000000e-05 eta: 1:11:36 time: 0.377404 data_time: 0.030734 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.842777 loss: 0.000531 2022/09/28 08:50:19 - mmengine - INFO - Epoch(train) [191][500/586] lr: 5.000000e-05 eta: 1:11:17 time: 0.378401 data_time: 0.030459 memory: 7071 loss_kpt: 0.000521 acc_pose: 0.863560 loss: 0.000521 2022/09/28 08:50:37 - mmengine - INFO - Epoch(train) [191][550/586] lr: 5.000000e-05 eta: 1:10:58 time: 0.378364 data_time: 0.041163 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.821874 loss: 0.000532 2022/09/28 08:50:51 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:51:11 - mmengine - INFO - Epoch(train) [192][50/586] lr: 5.000000e-05 eta: 1:10:24 time: 0.395594 data_time: 0.040331 memory: 7071 loss_kpt: 0.000540 acc_pose: 0.867762 loss: 0.000540 2022/09/28 08:51:20 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:51:30 - mmengine - INFO - Epoch(train) [192][100/586] lr: 5.000000e-05 eta: 1:10:05 time: 0.383154 data_time: 0.032620 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.837740 loss: 0.000528 2022/09/28 08:51:49 - mmengine - INFO - Epoch(train) [192][150/586] lr: 5.000000e-05 eta: 1:09:46 time: 0.380575 data_time: 0.030356 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.889818 loss: 0.000538 2022/09/28 08:52:09 - mmengine - INFO - Epoch(train) [192][200/586] lr: 5.000000e-05 eta: 1:09:27 time: 0.386000 data_time: 0.037835 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.912733 loss: 0.000531 2022/09/28 08:52:28 - mmengine - INFO - Epoch(train) [192][250/586] lr: 5.000000e-05 eta: 1:09:08 time: 0.385643 data_time: 0.031306 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.900471 loss: 0.000534 2022/09/28 08:52:47 - mmengine - INFO - Epoch(train) [192][300/586] lr: 5.000000e-05 eta: 1:08:49 time: 0.377988 data_time: 0.031882 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.902512 loss: 0.000524 2022/09/28 08:53:06 - mmengine - INFO - Epoch(train) [192][350/586] lr: 5.000000e-05 eta: 1:08:30 time: 0.391535 data_time: 0.038106 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.858275 loss: 0.000519 2022/09/28 08:53:25 - mmengine - INFO - Epoch(train) [192][400/586] lr: 5.000000e-05 eta: 1:08:11 time: 0.380015 data_time: 0.035042 memory: 7071 loss_kpt: 0.000553 acc_pose: 0.868273 loss: 0.000553 2022/09/28 08:53:45 - mmengine - INFO - Epoch(train) [192][450/586] lr: 5.000000e-05 eta: 1:07:52 time: 0.385760 data_time: 0.032383 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.827805 loss: 0.000532 2022/09/28 08:54:04 - mmengine - INFO - Epoch(train) [192][500/586] lr: 5.000000e-05 eta: 1:07:33 time: 0.380309 data_time: 0.034497 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.877181 loss: 0.000527 2022/09/28 08:54:23 - mmengine - INFO - Epoch(train) [192][550/586] lr: 5.000000e-05 eta: 1:07:13 time: 0.377345 data_time: 0.028588 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.903289 loss: 0.000516 2022/09/28 08:54:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:54:56 - mmengine - INFO - Epoch(train) [193][50/586] lr: 5.000000e-05 eta: 1:06:40 time: 0.402027 data_time: 0.042069 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.889396 loss: 0.000528 2022/09/28 08:55:16 - mmengine - INFO - Epoch(train) [193][100/586] lr: 5.000000e-05 eta: 1:06:21 time: 0.387528 data_time: 0.048920 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.862436 loss: 0.000527 2022/09/28 08:55:36 - mmengine - INFO - Epoch(train) [193][150/586] lr: 5.000000e-05 eta: 1:06:02 time: 0.395071 data_time: 0.035785 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.869816 loss: 0.000519 2022/09/28 08:55:55 - mmengine - INFO - Epoch(train) [193][200/586] lr: 5.000000e-05 eta: 1:05:42 time: 0.384099 data_time: 0.033636 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.867170 loss: 0.000530 2022/09/28 08:56:14 - mmengine - INFO - Epoch(train) [193][250/586] lr: 5.000000e-05 eta: 1:05:23 time: 0.380010 data_time: 0.033597 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.875890 loss: 0.000529 2022/09/28 08:56:34 - mmengine - INFO - Epoch(train) [193][300/586] lr: 5.000000e-05 eta: 1:05:04 time: 0.404088 data_time: 0.032025 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.857780 loss: 0.000536 2022/09/28 08:56:54 - mmengine - INFO - Epoch(train) [193][350/586] lr: 5.000000e-05 eta: 1:04:45 time: 0.392136 data_time: 0.042500 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.933879 loss: 0.000526 2022/09/28 08:57:13 - mmengine - INFO - Epoch(train) [193][400/586] lr: 5.000000e-05 eta: 1:04:26 time: 0.389530 data_time: 0.035466 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.839758 loss: 0.000531 2022/09/28 08:57:33 - mmengine - INFO - Epoch(train) [193][450/586] lr: 5.000000e-05 eta: 1:04:07 time: 0.395843 data_time: 0.033482 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.865965 loss: 0.000522 2022/09/28 08:57:48 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:57:52 - mmengine - INFO - Epoch(train) [193][500/586] lr: 5.000000e-05 eta: 1:03:48 time: 0.386478 data_time: 0.041669 memory: 7071 loss_kpt: 0.000515 acc_pose: 0.874336 loss: 0.000515 2022/09/28 08:58:12 - mmengine - INFO - Epoch(train) [193][550/586] lr: 5.000000e-05 eta: 1:03:29 time: 0.384981 data_time: 0.036856 memory: 7071 loss_kpt: 0.000512 acc_pose: 0.899395 loss: 0.000512 2022/09/28 08:58:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 08:58:45 - mmengine - INFO - Epoch(train) [194][50/586] lr: 5.000000e-05 eta: 1:02:56 time: 0.397784 data_time: 0.041046 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.876096 loss: 0.000536 2022/09/28 08:59:05 - mmengine - INFO - Epoch(train) [194][100/586] lr: 5.000000e-05 eta: 1:02:36 time: 0.389747 data_time: 0.028713 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.922678 loss: 0.000536 2022/09/28 08:59:24 - mmengine - INFO - Epoch(train) [194][150/586] lr: 5.000000e-05 eta: 1:02:17 time: 0.386481 data_time: 0.041352 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.875275 loss: 0.000543 2022/09/28 08:59:44 - mmengine - INFO - Epoch(train) [194][200/586] lr: 5.000000e-05 eta: 1:01:58 time: 0.390974 data_time: 0.028863 memory: 7071 loss_kpt: 0.000514 acc_pose: 0.907976 loss: 0.000514 2022/09/28 09:00:03 - mmengine - INFO - Epoch(train) [194][250/586] lr: 5.000000e-05 eta: 1:01:39 time: 0.380524 data_time: 0.028923 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.889714 loss: 0.000530 2022/09/28 09:00:22 - mmengine - INFO - Epoch(train) [194][300/586] lr: 5.000000e-05 eta: 1:01:20 time: 0.391820 data_time: 0.030870 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.897578 loss: 0.000529 2022/09/28 09:00:42 - mmengine - INFO - Epoch(train) [194][350/586] lr: 5.000000e-05 eta: 1:01:01 time: 0.383706 data_time: 0.032463 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.872049 loss: 0.000532 2022/09/28 09:01:01 - mmengine - INFO - Epoch(train) [194][400/586] lr: 5.000000e-05 eta: 1:00:42 time: 0.398301 data_time: 0.043166 memory: 7071 loss_kpt: 0.000520 acc_pose: 0.912001 loss: 0.000520 2022/09/28 09:01:21 - mmengine - INFO - Epoch(train) [194][450/586] lr: 5.000000e-05 eta: 1:00:23 time: 0.381952 data_time: 0.028835 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.851124 loss: 0.000529 2022/09/28 09:01:40 - mmengine - INFO - Epoch(train) [194][500/586] lr: 5.000000e-05 eta: 1:00:04 time: 0.393144 data_time: 0.039176 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.883118 loss: 0.000533 2022/09/28 09:02:01 - mmengine - INFO - Epoch(train) [194][550/586] lr: 5.000000e-05 eta: 0:59:45 time: 0.406802 data_time: 0.030365 memory: 7071 loss_kpt: 0.000548 acc_pose: 0.882280 loss: 0.000548 2022/09/28 09:02:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:02:35 - mmengine - INFO - Epoch(train) [195][50/586] lr: 5.000000e-05 eta: 0:59:12 time: 0.402290 data_time: 0.039238 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.870968 loss: 0.000529 2022/09/28 09:02:54 - mmengine - INFO - Epoch(train) [195][100/586] lr: 5.000000e-05 eta: 0:58:53 time: 0.377800 data_time: 0.034712 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.898569 loss: 0.000544 2022/09/28 09:03:14 - mmengine - INFO - Epoch(train) [195][150/586] lr: 5.000000e-05 eta: 0:58:34 time: 0.409266 data_time: 0.039015 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.810594 loss: 0.000523 2022/09/28 09:03:33 - mmengine - INFO - Epoch(train) [195][200/586] lr: 5.000000e-05 eta: 0:58:15 time: 0.382805 data_time: 0.039404 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.884322 loss: 0.000536 2022/09/28 09:03:52 - mmengine - INFO - Epoch(train) [195][250/586] lr: 5.000000e-05 eta: 0:57:56 time: 0.378808 data_time: 0.040747 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.867952 loss: 0.000516 2022/09/28 09:04:12 - mmengine - INFO - Epoch(train) [195][300/586] lr: 5.000000e-05 eta: 0:57:37 time: 0.386587 data_time: 0.032495 memory: 7071 loss_kpt: 0.000521 acc_pose: 0.889293 loss: 0.000521 2022/09/28 09:04:18 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:04:30 - mmengine - INFO - Epoch(train) [195][350/586] lr: 5.000000e-05 eta: 0:57:17 time: 0.379011 data_time: 0.032829 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.861683 loss: 0.000525 2022/09/28 09:04:50 - mmengine - INFO - Epoch(train) [195][400/586] lr: 5.000000e-05 eta: 0:56:58 time: 0.389252 data_time: 0.043543 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.908526 loss: 0.000522 2022/09/28 09:05:09 - mmengine - INFO - Epoch(train) [195][450/586] lr: 5.000000e-05 eta: 0:56:39 time: 0.388259 data_time: 0.040740 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.883232 loss: 0.000534 2022/09/28 09:05:28 - mmengine - INFO - Epoch(train) [195][500/586] lr: 5.000000e-05 eta: 0:56:20 time: 0.377854 data_time: 0.031141 memory: 7071 loss_kpt: 0.000529 acc_pose: 0.930681 loss: 0.000529 2022/09/28 09:05:48 - mmengine - INFO - Epoch(train) [195][550/586] lr: 5.000000e-05 eta: 0:56:01 time: 0.384481 data_time: 0.032390 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.891916 loss: 0.000525 2022/09/28 09:06:01 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:06:21 - mmengine - INFO - Epoch(train) [196][50/586] lr: 5.000000e-05 eta: 0:55:28 time: 0.401480 data_time: 0.037000 memory: 7071 loss_kpt: 0.000539 acc_pose: 0.854688 loss: 0.000539 2022/09/28 09:06:41 - mmengine - INFO - Epoch(train) [196][100/586] lr: 5.000000e-05 eta: 0:55:09 time: 0.397481 data_time: 0.040549 memory: 7071 loss_kpt: 0.000506 acc_pose: 0.896501 loss: 0.000506 2022/09/28 09:07:00 - mmengine - INFO - Epoch(train) [196][150/586] lr: 5.000000e-05 eta: 0:54:50 time: 0.383935 data_time: 0.030310 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.870193 loss: 0.000537 2022/09/28 09:07:19 - mmengine - INFO - Epoch(train) [196][200/586] lr: 5.000000e-05 eta: 0:54:31 time: 0.374544 data_time: 0.033803 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.869195 loss: 0.000542 2022/09/28 09:07:38 - mmengine - INFO - Epoch(train) [196][250/586] lr: 5.000000e-05 eta: 0:54:12 time: 0.387025 data_time: 0.034593 memory: 7071 loss_kpt: 0.000541 acc_pose: 0.909966 loss: 0.000541 2022/09/28 09:07:58 - mmengine - INFO - Epoch(train) [196][300/586] lr: 5.000000e-05 eta: 0:53:53 time: 0.385440 data_time: 0.034078 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.895516 loss: 0.000538 2022/09/28 09:08:17 - mmengine - INFO - Epoch(train) [196][350/586] lr: 5.000000e-05 eta: 0:53:34 time: 0.387420 data_time: 0.036332 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.832050 loss: 0.000537 2022/09/28 09:08:37 - mmengine - INFO - Epoch(train) [196][400/586] lr: 5.000000e-05 eta: 0:53:15 time: 0.400825 data_time: 0.038127 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.874879 loss: 0.000522 2022/09/28 09:08:56 - mmengine - INFO - Epoch(train) [196][450/586] lr: 5.000000e-05 eta: 0:52:55 time: 0.381114 data_time: 0.032277 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.851785 loss: 0.000537 2022/09/28 09:09:16 - mmengine - INFO - Epoch(train) [196][500/586] lr: 5.000000e-05 eta: 0:52:36 time: 0.387008 data_time: 0.032729 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.879299 loss: 0.000530 2022/09/28 09:09:36 - mmengine - INFO - Epoch(train) [196][550/586] lr: 5.000000e-05 eta: 0:52:18 time: 0.405027 data_time: 0.039664 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.910630 loss: 0.000519 2022/09/28 09:09:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:10:10 - mmengine - INFO - Epoch(train) [197][50/586] lr: 5.000000e-05 eta: 0:51:44 time: 0.399681 data_time: 0.043137 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.910708 loss: 0.000537 2022/09/28 09:10:29 - mmengine - INFO - Epoch(train) [197][100/586] lr: 5.000000e-05 eta: 0:51:25 time: 0.390995 data_time: 0.036236 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.846627 loss: 0.000532 2022/09/28 09:10:46 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:10:48 - mmengine - INFO - Epoch(train) [197][150/586] lr: 5.000000e-05 eta: 0:51:06 time: 0.378531 data_time: 0.034747 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.818011 loss: 0.000531 2022/09/28 09:11:08 - mmengine - INFO - Epoch(train) [197][200/586] lr: 5.000000e-05 eta: 0:50:47 time: 0.388714 data_time: 0.031480 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.814759 loss: 0.000542 2022/09/28 09:11:27 - mmengine - INFO - Epoch(train) [197][250/586] lr: 5.000000e-05 eta: 0:50:28 time: 0.383374 data_time: 0.032337 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.868370 loss: 0.000528 2022/09/28 09:11:47 - mmengine - INFO - Epoch(train) [197][300/586] lr: 5.000000e-05 eta: 0:50:09 time: 0.402383 data_time: 0.041963 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.874713 loss: 0.000528 2022/09/28 09:12:05 - mmengine - INFO - Epoch(train) [197][350/586] lr: 5.000000e-05 eta: 0:49:50 time: 0.371887 data_time: 0.032016 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.886328 loss: 0.000534 2022/09/28 09:12:25 - mmengine - INFO - Epoch(train) [197][400/586] lr: 5.000000e-05 eta: 0:49:31 time: 0.393104 data_time: 0.031704 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.845969 loss: 0.000523 2022/09/28 09:12:45 - mmengine - INFO - Epoch(train) [197][450/586] lr: 5.000000e-05 eta: 0:49:12 time: 0.388598 data_time: 0.032139 memory: 7071 loss_kpt: 0.000539 acc_pose: 0.877645 loss: 0.000539 2022/09/28 09:13:04 - mmengine - INFO - Epoch(train) [197][500/586] lr: 5.000000e-05 eta: 0:48:53 time: 0.387800 data_time: 0.045976 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.892625 loss: 0.000530 2022/09/28 09:13:24 - mmengine - INFO - Epoch(train) [197][550/586] lr: 5.000000e-05 eta: 0:48:34 time: 0.391631 data_time: 0.031439 memory: 7071 loss_kpt: 0.000512 acc_pose: 0.897781 loss: 0.000512 2022/09/28 09:13:37 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:13:57 - mmengine - INFO - Epoch(train) [198][50/586] lr: 5.000000e-05 eta: 0:48:00 time: 0.394929 data_time: 0.045817 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.877341 loss: 0.000519 2022/09/28 09:14:16 - mmengine - INFO - Epoch(train) [198][100/586] lr: 5.000000e-05 eta: 0:47:41 time: 0.386141 data_time: 0.051595 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.855203 loss: 0.000536 2022/09/28 09:14:35 - mmengine - INFO - Epoch(train) [198][150/586] lr: 5.000000e-05 eta: 0:47:22 time: 0.378957 data_time: 0.032659 memory: 7071 loss_kpt: 0.000520 acc_pose: 0.861651 loss: 0.000520 2022/09/28 09:14:54 - mmengine - INFO - Epoch(train) [198][200/586] lr: 5.000000e-05 eta: 0:47:03 time: 0.376695 data_time: 0.031497 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.895393 loss: 0.000536 2022/09/28 09:15:13 - mmengine - INFO - Epoch(train) [198][250/586] lr: 5.000000e-05 eta: 0:46:44 time: 0.382755 data_time: 0.032047 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.885002 loss: 0.000525 2022/09/28 09:15:33 - mmengine - INFO - Epoch(train) [198][300/586] lr: 5.000000e-05 eta: 0:46:25 time: 0.392395 data_time: 0.030131 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.913185 loss: 0.000535 2022/09/28 09:15:52 - mmengine - INFO - Epoch(train) [198][350/586] lr: 5.000000e-05 eta: 0:46:06 time: 0.392604 data_time: 0.035717 memory: 7071 loss_kpt: 0.000518 acc_pose: 0.771592 loss: 0.000518 2022/09/28 09:16:11 - mmengine - INFO - Epoch(train) [198][400/586] lr: 5.000000e-05 eta: 0:45:47 time: 0.379062 data_time: 0.033229 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.942939 loss: 0.000523 2022/09/28 09:16:31 - mmengine - INFO - Epoch(train) [198][450/586] lr: 5.000000e-05 eta: 0:45:28 time: 0.396569 data_time: 0.032726 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.872094 loss: 0.000519 2022/09/28 09:16:51 - mmengine - INFO - Epoch(train) [198][500/586] lr: 5.000000e-05 eta: 0:45:09 time: 0.392468 data_time: 0.033752 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.930501 loss: 0.000531 2022/09/28 09:17:11 - mmengine - INFO - Epoch(train) [198][550/586] lr: 5.000000e-05 eta: 0:44:50 time: 0.395749 data_time: 0.038476 memory: 7071 loss_kpt: 0.000520 acc_pose: 0.834294 loss: 0.000520 2022/09/28 09:17:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:17:25 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:17:46 - mmengine - INFO - Epoch(train) [199][50/586] lr: 5.000000e-05 eta: 0:44:17 time: 0.426163 data_time: 0.058585 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.853527 loss: 0.000532 2022/09/28 09:18:06 - mmengine - INFO - Epoch(train) [199][100/586] lr: 5.000000e-05 eta: 0:43:58 time: 0.390614 data_time: 0.033490 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.831236 loss: 0.000530 2022/09/28 09:18:25 - mmengine - INFO - Epoch(train) [199][150/586] lr: 5.000000e-05 eta: 0:43:39 time: 0.387058 data_time: 0.029548 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.936471 loss: 0.000526 2022/09/28 09:18:45 - mmengine - INFO - Epoch(train) [199][200/586] lr: 5.000000e-05 eta: 0:43:20 time: 0.398222 data_time: 0.041623 memory: 7071 loss_kpt: 0.000511 acc_pose: 0.919418 loss: 0.000511 2022/09/28 09:19:04 - mmengine - INFO - Epoch(train) [199][250/586] lr: 5.000000e-05 eta: 0:43:01 time: 0.382605 data_time: 0.034378 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.892585 loss: 0.000525 2022/09/28 09:19:24 - mmengine - INFO - Epoch(train) [199][300/586] lr: 5.000000e-05 eta: 0:42:42 time: 0.385352 data_time: 0.033521 memory: 7071 loss_kpt: 0.000517 acc_pose: 0.883727 loss: 0.000517 2022/09/28 09:19:43 - mmengine - INFO - Epoch(train) [199][350/586] lr: 5.000000e-05 eta: 0:42:23 time: 0.385126 data_time: 0.034193 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.930466 loss: 0.000516 2022/09/28 09:20:03 - mmengine - INFO - Epoch(train) [199][400/586] lr: 5.000000e-05 eta: 0:42:04 time: 0.389508 data_time: 0.031734 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.883188 loss: 0.000526 2022/09/28 09:20:22 - mmengine - INFO - Epoch(train) [199][450/586] lr: 5.000000e-05 eta: 0:41:45 time: 0.381524 data_time: 0.035887 memory: 7071 loss_kpt: 0.000515 acc_pose: 0.900907 loss: 0.000515 2022/09/28 09:20:41 - mmengine - INFO - Epoch(train) [199][500/586] lr: 5.000000e-05 eta: 0:41:26 time: 0.389413 data_time: 0.037894 memory: 7071 loss_kpt: 0.000515 acc_pose: 0.852337 loss: 0.000515 2022/09/28 09:21:01 - mmengine - INFO - Epoch(train) [199][550/586] lr: 5.000000e-05 eta: 0:41:07 time: 0.389153 data_time: 0.041966 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.869225 loss: 0.000524 2022/09/28 09:21:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:21:34 - mmengine - INFO - Epoch(train) [200][50/586] lr: 5.000000e-05 eta: 0:40:33 time: 0.393405 data_time: 0.044646 memory: 7071 loss_kpt: 0.000536 acc_pose: 0.837271 loss: 0.000536 2022/09/28 09:21:53 - mmengine - INFO - Epoch(train) [200][100/586] lr: 5.000000e-05 eta: 0:40:14 time: 0.371921 data_time: 0.034184 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.902994 loss: 0.000523 2022/09/28 09:22:12 - mmengine - INFO - Epoch(train) [200][150/586] lr: 5.000000e-05 eta: 0:39:55 time: 0.381135 data_time: 0.029144 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.860623 loss: 0.000522 2022/09/28 09:22:31 - mmengine - INFO - Epoch(train) [200][200/586] lr: 5.000000e-05 eta: 0:39:36 time: 0.377816 data_time: 0.035566 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.839105 loss: 0.000528 2022/09/28 09:22:50 - mmengine - INFO - Epoch(train) [200][250/586] lr: 5.000000e-05 eta: 0:39:17 time: 0.385681 data_time: 0.039654 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.900740 loss: 0.000542 2022/09/28 09:23:10 - mmengine - INFO - Epoch(train) [200][300/586] lr: 5.000000e-05 eta: 0:38:58 time: 0.400263 data_time: 0.030261 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.890016 loss: 0.000530 2022/09/28 09:23:29 - mmengine - INFO - Epoch(train) [200][350/586] lr: 5.000000e-05 eta: 0:38:39 time: 0.382547 data_time: 0.039928 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.885232 loss: 0.000526 2022/09/28 09:23:43 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:23:48 - mmengine - INFO - Epoch(train) [200][400/586] lr: 5.000000e-05 eta: 0:38:20 time: 0.373819 data_time: 0.030458 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.866214 loss: 0.000530 2022/09/28 09:24:07 - mmengine - INFO - Epoch(train) [200][450/586] lr: 5.000000e-05 eta: 0:38:01 time: 0.375240 data_time: 0.029530 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.845478 loss: 0.000533 2022/09/28 09:24:27 - mmengine - INFO - Epoch(train) [200][500/586] lr: 5.000000e-05 eta: 0:37:42 time: 0.398903 data_time: 0.041581 memory: 7071 loss_kpt: 0.000515 acc_pose: 0.862462 loss: 0.000515 2022/09/28 09:24:46 - mmengine - INFO - Epoch(train) [200][550/586] lr: 5.000000e-05 eta: 0:37:23 time: 0.384347 data_time: 0.032157 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.777112 loss: 0.000527 2022/09/28 09:25:00 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:25:00 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/09/28 09:25:29 - mmengine - INFO - Epoch(val) [200][50/407] eta: 0:02:05 time: 0.351001 data_time: 0.133158 memory: 7071 2022/09/28 09:25:44 - mmengine - INFO - Epoch(val) [200][100/407] eta: 0:01:35 time: 0.311266 data_time: 0.091687 memory: 1674 2022/09/28 09:26:01 - mmengine - INFO - Epoch(val) [200][150/407] eta: 0:01:23 time: 0.326434 data_time: 0.114991 memory: 1674 2022/09/28 09:26:18 - mmengine - INFO - Epoch(val) [200][200/407] eta: 0:01:12 time: 0.349243 data_time: 0.119768 memory: 1674 2022/09/28 09:26:37 - mmengine - INFO - Epoch(val) [200][250/407] eta: 0:00:59 time: 0.380293 data_time: 0.198885 memory: 1674 2022/09/28 09:26:53 - mmengine - INFO - Epoch(val) [200][300/407] eta: 0:00:33 time: 0.316072 data_time: 0.122727 memory: 1674 2022/09/28 09:27:09 - mmengine - INFO - Epoch(val) [200][350/407] eta: 0:00:18 time: 0.327886 data_time: 0.114766 memory: 1674 2022/09/28 09:27:18 - mmengine - INFO - Epoch(val) [200][400/407] eta: 0:00:01 time: 0.178778 data_time: 0.066115 memory: 1674 2022/09/28 09:27:51 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 09:28:04 - mmengine - INFO - Epoch(val) [200][407/407] coco/AP: 0.735401 coco/AP .5: 0.904017 coco/AP .75: 0.818500 coco/AP (M): 0.701441 coco/AP (L): 0.800815 coco/AR: 0.791011 coco/AR .5: 0.942223 coco/AR .75: 0.863193 coco/AR (M): 0.749303 coco/AR (L): 0.851133 2022/09/28 09:28:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_190.pth is removed 2022/09/28 09:28:08 - mmengine - INFO - The best checkpoint with 0.7354 coco/AP at 200 epoch is saved to best_coco/AP_epoch_200.pth. 2022/09/28 09:28:27 - mmengine - INFO - Epoch(train) [201][50/586] lr: 5.000000e-06 eta: 0:36:50 time: 0.382602 data_time: 0.033487 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.894922 loss: 0.000530 2022/09/28 09:28:46 - mmengine - INFO - Epoch(train) [201][100/586] lr: 5.000000e-06 eta: 0:36:30 time: 0.380306 data_time: 0.032510 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.868725 loss: 0.000527 2022/09/28 09:29:05 - mmengine - INFO - Epoch(train) [201][150/586] lr: 5.000000e-06 eta: 0:36:11 time: 0.388719 data_time: 0.046069 memory: 7071 loss_kpt: 0.000520 acc_pose: 0.882798 loss: 0.000520 2022/09/28 09:29:24 - mmengine - INFO - Epoch(train) [201][200/586] lr: 5.000000e-06 eta: 0:35:52 time: 0.380822 data_time: 0.030349 memory: 7071 loss_kpt: 0.000510 acc_pose: 0.896579 loss: 0.000510 2022/09/28 09:29:43 - mmengine - INFO - Epoch(train) [201][250/586] lr: 5.000000e-06 eta: 0:35:33 time: 0.375927 data_time: 0.031168 memory: 7071 loss_kpt: 0.000517 acc_pose: 0.802583 loss: 0.000517 2022/09/28 09:30:03 - mmengine - INFO - Epoch(train) [201][300/586] lr: 5.000000e-06 eta: 0:35:14 time: 0.386654 data_time: 0.031775 memory: 7071 loss_kpt: 0.000518 acc_pose: 0.884262 loss: 0.000518 2022/09/28 09:30:22 - mmengine - INFO - Epoch(train) [201][350/586] lr: 5.000000e-06 eta: 0:34:55 time: 0.384600 data_time: 0.032970 memory: 7071 loss_kpt: 0.000542 acc_pose: 0.868535 loss: 0.000542 2022/09/28 09:30:41 - mmengine - INFO - Epoch(train) [201][400/586] lr: 5.000000e-06 eta: 0:34:36 time: 0.382728 data_time: 0.029939 memory: 7071 loss_kpt: 0.000513 acc_pose: 0.857724 loss: 0.000513 2022/09/28 09:31:00 - mmengine - INFO - Epoch(train) [201][450/586] lr: 5.000000e-06 eta: 0:34:17 time: 0.388219 data_time: 0.034788 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.888040 loss: 0.000522 2022/09/28 09:31:20 - mmengine - INFO - Epoch(train) [201][500/586] lr: 5.000000e-06 eta: 0:33:58 time: 0.382599 data_time: 0.037020 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.887326 loss: 0.000524 2022/09/28 09:31:39 - mmengine - INFO - Epoch(train) [201][550/586] lr: 5.000000e-06 eta: 0:33:39 time: 0.389813 data_time: 0.032793 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.896134 loss: 0.000528 2022/09/28 09:31:52 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:32:12 - mmengine - INFO - Epoch(train) [202][50/586] lr: 5.000000e-06 eta: 0:33:06 time: 0.396023 data_time: 0.050798 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.865998 loss: 0.000523 2022/09/28 09:32:31 - mmengine - INFO - Epoch(train) [202][100/586] lr: 5.000000e-06 eta: 0:32:47 time: 0.385412 data_time: 0.035767 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.862932 loss: 0.000528 2022/09/28 09:32:51 - mmengine - INFO - Epoch(train) [202][150/586] lr: 5.000000e-06 eta: 0:32:28 time: 0.386662 data_time: 0.031164 memory: 7071 loss_kpt: 0.000515 acc_pose: 0.847615 loss: 0.000515 2022/09/28 09:33:10 - mmengine - INFO - Epoch(train) [202][200/586] lr: 5.000000e-06 eta: 0:32:09 time: 0.391441 data_time: 0.034037 memory: 7071 loss_kpt: 0.000521 acc_pose: 0.883812 loss: 0.000521 2022/09/28 09:33:15 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:33:29 - mmengine - INFO - Epoch(train) [202][250/586] lr: 5.000000e-06 eta: 0:31:50 time: 0.379102 data_time: 0.035059 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.830899 loss: 0.000526 2022/09/28 09:33:49 - mmengine - INFO - Epoch(train) [202][300/586] lr: 5.000000e-06 eta: 0:31:31 time: 0.390323 data_time: 0.037835 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.879832 loss: 0.000533 2022/09/28 09:34:08 - mmengine - INFO - Epoch(train) [202][350/586] lr: 5.000000e-06 eta: 0:31:12 time: 0.387360 data_time: 0.030003 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.880969 loss: 0.000525 2022/09/28 09:34:28 - mmengine - INFO - Epoch(train) [202][400/586] lr: 5.000000e-06 eta: 0:30:53 time: 0.393114 data_time: 0.030090 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.890773 loss: 0.000525 2022/09/28 09:34:47 - mmengine - INFO - Epoch(train) [202][450/586] lr: 5.000000e-06 eta: 0:30:34 time: 0.379979 data_time: 0.028552 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.866340 loss: 0.000532 2022/09/28 09:35:06 - mmengine - INFO - Epoch(train) [202][500/586] lr: 5.000000e-06 eta: 0:30:15 time: 0.376961 data_time: 0.032146 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.798459 loss: 0.000519 2022/09/28 09:35:25 - mmengine - INFO - Epoch(train) [202][550/586] lr: 5.000000e-06 eta: 0:29:56 time: 0.389660 data_time: 0.036490 memory: 7071 loss_kpt: 0.000531 acc_pose: 0.829297 loss: 0.000531 2022/09/28 09:35:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:35:59 - mmengine - INFO - Epoch(train) [203][50/586] lr: 5.000000e-06 eta: 0:29:23 time: 0.406071 data_time: 0.039294 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.861089 loss: 0.000533 2022/09/28 09:36:19 - mmengine - INFO - Epoch(train) [203][100/586] lr: 5.000000e-06 eta: 0:29:04 time: 0.384313 data_time: 0.028092 memory: 7071 loss_kpt: 0.000513 acc_pose: 0.814508 loss: 0.000513 2022/09/28 09:36:38 - mmengine - INFO - Epoch(train) [203][150/586] lr: 5.000000e-06 eta: 0:28:45 time: 0.391774 data_time: 0.030303 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.863309 loss: 0.000532 2022/09/28 09:36:58 - mmengine - INFO - Epoch(train) [203][200/586] lr: 5.000000e-06 eta: 0:28:26 time: 0.405379 data_time: 0.030297 memory: 7071 loss_kpt: 0.000520 acc_pose: 0.858368 loss: 0.000520 2022/09/28 09:37:18 - mmengine - INFO - Epoch(train) [203][250/586] lr: 5.000000e-06 eta: 0:28:07 time: 0.385953 data_time: 0.030048 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.894623 loss: 0.000533 2022/09/28 09:37:37 - mmengine - INFO - Epoch(train) [203][300/586] lr: 5.000000e-06 eta: 0:27:48 time: 0.382177 data_time: 0.034256 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.864921 loss: 0.000519 2022/09/28 09:37:56 - mmengine - INFO - Epoch(train) [203][350/586] lr: 5.000000e-06 eta: 0:27:29 time: 0.380714 data_time: 0.035150 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.848344 loss: 0.000519 2022/09/28 09:38:15 - mmengine - INFO - Epoch(train) [203][400/586] lr: 5.000000e-06 eta: 0:27:10 time: 0.380038 data_time: 0.030407 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.887348 loss: 0.000538 2022/09/28 09:38:35 - mmengine - INFO - Epoch(train) [203][450/586] lr: 5.000000e-06 eta: 0:26:51 time: 0.398190 data_time: 0.035099 memory: 7071 loss_kpt: 0.000538 acc_pose: 0.841789 loss: 0.000538 2022/09/28 09:38:54 - mmengine - INFO - Epoch(train) [203][500/586] lr: 5.000000e-06 eta: 0:26:32 time: 0.385813 data_time: 0.041690 memory: 7071 loss_kpt: 0.000548 acc_pose: 0.830268 loss: 0.000548 2022/09/28 09:39:13 - mmengine - INFO - Epoch(train) [203][550/586] lr: 5.000000e-06 eta: 0:26:13 time: 0.381709 data_time: 0.038068 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.910829 loss: 0.000535 2022/09/28 09:39:27 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:39:44 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:39:47 - mmengine - INFO - Epoch(train) [204][50/586] lr: 5.000000e-06 eta: 0:25:40 time: 0.408400 data_time: 0.039155 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.786115 loss: 0.000526 2022/09/28 09:40:07 - mmengine - INFO - Epoch(train) [204][100/586] lr: 5.000000e-06 eta: 0:25:21 time: 0.385513 data_time: 0.035149 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.849248 loss: 0.000525 2022/09/28 09:40:26 - mmengine - INFO - Epoch(train) [204][150/586] lr: 5.000000e-06 eta: 0:25:02 time: 0.394835 data_time: 0.041256 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.877648 loss: 0.000534 2022/09/28 09:40:46 - mmengine - INFO - Epoch(train) [204][200/586] lr: 5.000000e-06 eta: 0:24:43 time: 0.384907 data_time: 0.028348 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.888021 loss: 0.000524 2022/09/28 09:41:05 - mmengine - INFO - Epoch(train) [204][250/586] lr: 5.000000e-06 eta: 0:24:24 time: 0.375712 data_time: 0.034653 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.866643 loss: 0.000524 2022/09/28 09:41:24 - mmengine - INFO - Epoch(train) [204][300/586] lr: 5.000000e-06 eta: 0:24:05 time: 0.385423 data_time: 0.028164 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.872003 loss: 0.000525 2022/09/28 09:41:43 - mmengine - INFO - Epoch(train) [204][350/586] lr: 5.000000e-06 eta: 0:23:46 time: 0.385768 data_time: 0.029972 memory: 7071 loss_kpt: 0.000514 acc_pose: 0.922728 loss: 0.000514 2022/09/28 09:42:03 - mmengine - INFO - Epoch(train) [204][400/586] lr: 5.000000e-06 eta: 0:23:27 time: 0.391480 data_time: 0.033613 memory: 7071 loss_kpt: 0.000506 acc_pose: 0.905811 loss: 0.000506 2022/09/28 09:42:22 - mmengine - INFO - Epoch(train) [204][450/586] lr: 5.000000e-06 eta: 0:23:08 time: 0.389844 data_time: 0.030842 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.835074 loss: 0.000528 2022/09/28 09:42:41 - mmengine - INFO - Epoch(train) [204][500/586] lr: 5.000000e-06 eta: 0:22:49 time: 0.380603 data_time: 0.039301 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.898231 loss: 0.000519 2022/09/28 09:43:00 - mmengine - INFO - Epoch(train) [204][550/586] lr: 5.000000e-06 eta: 0:22:30 time: 0.376780 data_time: 0.035762 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.803990 loss: 0.000523 2022/09/28 09:43:14 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:43:34 - mmengine - INFO - Epoch(train) [205][50/586] lr: 5.000000e-06 eta: 0:21:57 time: 0.402339 data_time: 0.043412 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.875482 loss: 0.000516 2022/09/28 09:43:53 - mmengine - INFO - Epoch(train) [205][100/586] lr: 5.000000e-06 eta: 0:21:38 time: 0.375229 data_time: 0.032708 memory: 7071 loss_kpt: 0.000508 acc_pose: 0.797072 loss: 0.000508 2022/09/28 09:44:12 - mmengine - INFO - Epoch(train) [205][150/586] lr: 5.000000e-06 eta: 0:21:19 time: 0.389309 data_time: 0.041133 memory: 7071 loss_kpt: 0.000544 acc_pose: 0.797794 loss: 0.000544 2022/09/28 09:44:32 - mmengine - INFO - Epoch(train) [205][200/586] lr: 5.000000e-06 eta: 0:21:00 time: 0.386233 data_time: 0.034036 memory: 7071 loss_kpt: 0.000518 acc_pose: 0.895309 loss: 0.000518 2022/09/28 09:44:51 - mmengine - INFO - Epoch(train) [205][250/586] lr: 5.000000e-06 eta: 0:20:41 time: 0.391903 data_time: 0.038516 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.888682 loss: 0.000532 2022/09/28 09:45:11 - mmengine - INFO - Epoch(train) [205][300/586] lr: 5.000000e-06 eta: 0:20:22 time: 0.389336 data_time: 0.037021 memory: 7071 loss_kpt: 0.000541 acc_pose: 0.878018 loss: 0.000541 2022/09/28 09:45:30 - mmengine - INFO - Epoch(train) [205][350/586] lr: 5.000000e-06 eta: 0:20:03 time: 0.392497 data_time: 0.030239 memory: 7071 loss_kpt: 0.000514 acc_pose: 0.858177 loss: 0.000514 2022/09/28 09:45:49 - mmengine - INFO - Epoch(train) [205][400/586] lr: 5.000000e-06 eta: 0:19:44 time: 0.381390 data_time: 0.031338 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.800738 loss: 0.000543 2022/09/28 09:46:09 - mmengine - INFO - Epoch(train) [205][450/586] lr: 5.000000e-06 eta: 0:19:25 time: 0.399210 data_time: 0.033717 memory: 7071 loss_kpt: 0.000528 acc_pose: 0.855511 loss: 0.000528 2022/09/28 09:46:12 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:46:29 - mmengine - INFO - Epoch(train) [205][500/586] lr: 5.000000e-06 eta: 0:19:06 time: 0.397265 data_time: 0.029653 memory: 7071 loss_kpt: 0.000518 acc_pose: 0.863358 loss: 0.000518 2022/09/28 09:46:48 - mmengine - INFO - Epoch(train) [205][550/586] lr: 5.000000e-06 eta: 0:18:47 time: 0.381297 data_time: 0.030526 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.883374 loss: 0.000516 2022/09/28 09:47:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:47:22 - mmengine - INFO - Epoch(train) [206][50/586] lr: 5.000000e-06 eta: 0:18:14 time: 0.392103 data_time: 0.039587 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.919608 loss: 0.000524 2022/09/28 09:47:41 - mmengine - INFO - Epoch(train) [206][100/586] lr: 5.000000e-06 eta: 0:17:55 time: 0.390682 data_time: 0.040182 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.846661 loss: 0.000522 2022/09/28 09:48:01 - mmengine - INFO - Epoch(train) [206][150/586] lr: 5.000000e-06 eta: 0:17:36 time: 0.385362 data_time: 0.031187 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.898247 loss: 0.000522 2022/09/28 09:48:21 - mmengine - INFO - Epoch(train) [206][200/586] lr: 5.000000e-06 eta: 0:17:17 time: 0.398662 data_time: 0.036843 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.888711 loss: 0.000525 2022/09/28 09:48:40 - mmengine - INFO - Epoch(train) [206][250/586] lr: 5.000000e-06 eta: 0:16:58 time: 0.381954 data_time: 0.030808 memory: 7071 loss_kpt: 0.000534 acc_pose: 0.910039 loss: 0.000534 2022/09/28 09:48:59 - mmengine - INFO - Epoch(train) [206][300/586] lr: 5.000000e-06 eta: 0:16:39 time: 0.387610 data_time: 0.037240 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.880412 loss: 0.000527 2022/09/28 09:49:18 - mmengine - INFO - Epoch(train) [206][350/586] lr: 5.000000e-06 eta: 0:16:20 time: 0.385724 data_time: 0.030990 memory: 7071 loss_kpt: 0.000518 acc_pose: 0.879291 loss: 0.000518 2022/09/28 09:49:38 - mmengine - INFO - Epoch(train) [206][400/586] lr: 5.000000e-06 eta: 0:16:01 time: 0.384215 data_time: 0.029669 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.828811 loss: 0.000527 2022/09/28 09:49:57 - mmengine - INFO - Epoch(train) [206][450/586] lr: 5.000000e-06 eta: 0:15:42 time: 0.384651 data_time: 0.036313 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.834430 loss: 0.000532 2022/09/28 09:50:17 - mmengine - INFO - Epoch(train) [206][500/586] lr: 5.000000e-06 eta: 0:15:23 time: 0.404264 data_time: 0.030124 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.887285 loss: 0.000532 2022/09/28 09:50:36 - mmengine - INFO - Epoch(train) [206][550/586] lr: 5.000000e-06 eta: 0:15:04 time: 0.377240 data_time: 0.035633 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.879293 loss: 0.000519 2022/09/28 09:50:50 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:51:10 - mmengine - INFO - Epoch(train) [207][50/586] lr: 5.000000e-06 eta: 0:14:31 time: 0.398919 data_time: 0.040762 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.806752 loss: 0.000527 2022/09/28 09:51:29 - mmengine - INFO - Epoch(train) [207][100/586] lr: 5.000000e-06 eta: 0:14:12 time: 0.389731 data_time: 0.032041 memory: 7071 loss_kpt: 0.000517 acc_pose: 0.897332 loss: 0.000517 2022/09/28 09:51:49 - mmengine - INFO - Epoch(train) [207][150/586] lr: 5.000000e-06 eta: 0:13:53 time: 0.385198 data_time: 0.034010 memory: 7071 loss_kpt: 0.000526 acc_pose: 0.869271 loss: 0.000526 2022/09/28 09:52:08 - mmengine - INFO - Epoch(train) [207][200/586] lr: 5.000000e-06 eta: 0:13:34 time: 0.387914 data_time: 0.032796 memory: 7071 loss_kpt: 0.000509 acc_pose: 0.830418 loss: 0.000509 2022/09/28 09:52:27 - mmengine - INFO - Epoch(train) [207][250/586] lr: 5.000000e-06 eta: 0:13:15 time: 0.376579 data_time: 0.038374 memory: 7071 loss_kpt: 0.000521 acc_pose: 0.881526 loss: 0.000521 2022/09/28 09:52:40 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:52:46 - mmengine - INFO - Epoch(train) [207][300/586] lr: 5.000000e-06 eta: 0:12:56 time: 0.375881 data_time: 0.029228 memory: 7071 loss_kpt: 0.000514 acc_pose: 0.857798 loss: 0.000514 2022/09/28 09:53:05 - mmengine - INFO - Epoch(train) [207][350/586] lr: 5.000000e-06 eta: 0:12:37 time: 0.384097 data_time: 0.030065 memory: 7071 loss_kpt: 0.000518 acc_pose: 0.850223 loss: 0.000518 2022/09/28 09:53:24 - mmengine - INFO - Epoch(train) [207][400/586] lr: 5.000000e-06 eta: 0:12:18 time: 0.390027 data_time: 0.031449 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.909494 loss: 0.000527 2022/09/28 09:53:44 - mmengine - INFO - Epoch(train) [207][450/586] lr: 5.000000e-06 eta: 0:11:59 time: 0.384019 data_time: 0.036444 memory: 7071 loss_kpt: 0.000515 acc_pose: 0.825449 loss: 0.000515 2022/09/28 09:54:03 - mmengine - INFO - Epoch(train) [207][500/586] lr: 5.000000e-06 eta: 0:11:40 time: 0.378213 data_time: 0.029025 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.802673 loss: 0.000532 2022/09/28 09:54:21 - mmengine - INFO - Epoch(train) [207][550/586] lr: 5.000000e-06 eta: 0:11:21 time: 0.375823 data_time: 0.028165 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.872489 loss: 0.000516 2022/09/28 09:54:36 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:54:56 - mmengine - INFO - Epoch(train) [208][50/586] lr: 5.000000e-06 eta: 0:10:48 time: 0.413861 data_time: 0.041574 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.875849 loss: 0.000524 2022/09/28 09:55:16 - mmengine - INFO - Epoch(train) [208][100/586] lr: 5.000000e-06 eta: 0:10:29 time: 0.391474 data_time: 0.033549 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.865360 loss: 0.000519 2022/09/28 09:55:35 - mmengine - INFO - Epoch(train) [208][150/586] lr: 5.000000e-06 eta: 0:10:10 time: 0.376720 data_time: 0.033768 memory: 7071 loss_kpt: 0.000527 acc_pose: 0.901439 loss: 0.000527 2022/09/28 09:55:54 - mmengine - INFO - Epoch(train) [208][200/586] lr: 5.000000e-06 eta: 0:09:51 time: 0.384398 data_time: 0.032739 memory: 7071 loss_kpt: 0.000543 acc_pose: 0.894642 loss: 0.000543 2022/09/28 09:56:14 - mmengine - INFO - Epoch(train) [208][250/586] lr: 5.000000e-06 eta: 0:09:32 time: 0.394957 data_time: 0.032725 memory: 7071 loss_kpt: 0.000517 acc_pose: 0.874263 loss: 0.000517 2022/09/28 09:56:33 - mmengine - INFO - Epoch(train) [208][300/586] lr: 5.000000e-06 eta: 0:09:13 time: 0.393998 data_time: 0.036022 memory: 7071 loss_kpt: 0.000511 acc_pose: 0.885709 loss: 0.000511 2022/09/28 09:56:53 - mmengine - INFO - Epoch(train) [208][350/586] lr: 5.000000e-06 eta: 0:08:54 time: 0.388804 data_time: 0.034758 memory: 7071 loss_kpt: 0.000525 acc_pose: 0.852651 loss: 0.000525 2022/09/28 09:57:12 - mmengine - INFO - Epoch(train) [208][400/586] lr: 5.000000e-06 eta: 0:08:35 time: 0.377070 data_time: 0.034235 memory: 7071 loss_kpt: 0.000535 acc_pose: 0.884137 loss: 0.000535 2022/09/28 09:57:31 - mmengine - INFO - Epoch(train) [208][450/586] lr: 5.000000e-06 eta: 0:08:16 time: 0.391840 data_time: 0.029383 memory: 7071 loss_kpt: 0.000511 acc_pose: 0.872338 loss: 0.000511 2022/09/28 09:57:51 - mmengine - INFO - Epoch(train) [208][500/586] lr: 5.000000e-06 eta: 0:07:57 time: 0.386798 data_time: 0.044343 memory: 7071 loss_kpt: 0.000540 acc_pose: 0.860977 loss: 0.000540 2022/09/28 09:58:10 - mmengine - INFO - Epoch(train) [208][550/586] lr: 5.000000e-06 eta: 0:07:38 time: 0.392669 data_time: 0.030221 memory: 7071 loss_kpt: 0.000510 acc_pose: 0.903280 loss: 0.000510 2022/09/28 09:58:24 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:58:45 - mmengine - INFO - Epoch(train) [209][50/586] lr: 5.000000e-06 eta: 0:07:06 time: 0.406725 data_time: 0.046342 memory: 7071 loss_kpt: 0.000519 acc_pose: 0.899588 loss: 0.000519 2022/09/28 09:59:04 - mmengine - INFO - Epoch(train) [209][100/586] lr: 5.000000e-06 eta: 0:06:47 time: 0.394280 data_time: 0.033175 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.894839 loss: 0.000523 2022/09/28 09:59:09 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 09:59:24 - mmengine - INFO - Epoch(train) [209][150/586] lr: 5.000000e-06 eta: 0:06:28 time: 0.396323 data_time: 0.031779 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.888723 loss: 0.000533 2022/09/28 09:59:44 - mmengine - INFO - Epoch(train) [209][200/586] lr: 5.000000e-06 eta: 0:06:09 time: 0.386123 data_time: 0.031332 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.887745 loss: 0.000524 2022/09/28 10:00:03 - mmengine - INFO - Epoch(train) [209][250/586] lr: 5.000000e-06 eta: 0:05:50 time: 0.386976 data_time: 0.031949 memory: 7071 loss_kpt: 0.000522 acc_pose: 0.867470 loss: 0.000522 2022/09/28 10:00:22 - mmengine - INFO - Epoch(train) [209][300/586] lr: 5.000000e-06 eta: 0:05:31 time: 0.389625 data_time: 0.035020 memory: 7071 loss_kpt: 0.000517 acc_pose: 0.891355 loss: 0.000517 2022/09/28 10:00:41 - mmengine - INFO - Epoch(train) [209][350/586] lr: 5.000000e-06 eta: 0:05:12 time: 0.374407 data_time: 0.039410 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.882455 loss: 0.000516 2022/09/28 10:01:01 - mmengine - INFO - Epoch(train) [209][400/586] lr: 5.000000e-06 eta: 0:04:53 time: 0.387865 data_time: 0.032847 memory: 7071 loss_kpt: 0.000530 acc_pose: 0.860217 loss: 0.000530 2022/09/28 10:01:20 - mmengine - INFO - Epoch(train) [209][450/586] lr: 5.000000e-06 eta: 0:04:34 time: 0.385680 data_time: 0.031223 memory: 7071 loss_kpt: 0.000524 acc_pose: 0.883243 loss: 0.000524 2022/09/28 10:01:39 - mmengine - INFO - Epoch(train) [209][500/586] lr: 5.000000e-06 eta: 0:04:15 time: 0.376219 data_time: 0.031325 memory: 7071 loss_kpt: 0.000545 acc_pose: 0.904355 loss: 0.000545 2022/09/28 10:01:59 - mmengine - INFO - Epoch(train) [209][550/586] lr: 5.000000e-06 eta: 0:03:56 time: 0.401606 data_time: 0.032407 memory: 7071 loss_kpt: 0.000518 acc_pose: 0.917416 loss: 0.000518 2022/09/28 10:02:13 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 10:02:34 - mmengine - INFO - Epoch(train) [210][50/586] lr: 5.000000e-06 eta: 0:03:23 time: 0.414856 data_time: 0.058857 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.862310 loss: 0.000537 2022/09/28 10:02:53 - mmengine - INFO - Epoch(train) [210][100/586] lr: 5.000000e-06 eta: 0:03:04 time: 0.386832 data_time: 0.030471 memory: 7071 loss_kpt: 0.000508 acc_pose: 0.899056 loss: 0.000508 2022/09/28 10:03:13 - mmengine - INFO - Epoch(train) [210][150/586] lr: 5.000000e-06 eta: 0:02:45 time: 0.388375 data_time: 0.034386 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.897945 loss: 0.000532 2022/09/28 10:03:32 - mmengine - INFO - Epoch(train) [210][200/586] lr: 5.000000e-06 eta: 0:02:26 time: 0.399085 data_time: 0.032618 memory: 7071 loss_kpt: 0.000523 acc_pose: 0.864492 loss: 0.000523 2022/09/28 10:03:51 - mmengine - INFO - Epoch(train) [210][250/586] lr: 5.000000e-06 eta: 0:02:07 time: 0.376901 data_time: 0.030493 memory: 7071 loss_kpt: 0.000533 acc_pose: 0.852859 loss: 0.000533 2022/09/28 10:04:11 - mmengine - INFO - Epoch(train) [210][300/586] lr: 5.000000e-06 eta: 0:01:48 time: 0.392406 data_time: 0.029237 memory: 7071 loss_kpt: 0.000517 acc_pose: 0.864856 loss: 0.000517 2022/09/28 10:04:30 - mmengine - INFO - Epoch(train) [210][350/586] lr: 5.000000e-06 eta: 0:01:29 time: 0.386663 data_time: 0.036412 memory: 7071 loss_kpt: 0.000509 acc_pose: 0.807975 loss: 0.000509 2022/09/28 10:04:49 - mmengine - INFO - Epoch(train) [210][400/586] lr: 5.000000e-06 eta: 0:01:10 time: 0.377277 data_time: 0.033861 memory: 7071 loss_kpt: 0.000532 acc_pose: 0.867015 loss: 0.000532 2022/09/28 10:05:09 - mmengine - INFO - Epoch(train) [210][450/586] lr: 5.000000e-06 eta: 0:00:51 time: 0.385769 data_time: 0.042943 memory: 7071 loss_kpt: 0.000515 acc_pose: 0.871115 loss: 0.000515 2022/09/28 10:05:28 - mmengine - INFO - Epoch(train) [210][500/586] lr: 5.000000e-06 eta: 0:00:32 time: 0.398239 data_time: 0.030910 memory: 7071 loss_kpt: 0.000537 acc_pose: 0.923386 loss: 0.000537 2022/09/28 10:05:39 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 10:05:48 - mmengine - INFO - Epoch(train) [210][550/586] lr: 5.000000e-06 eta: 0:00:13 time: 0.383226 data_time: 0.039242 memory: 7071 loss_kpt: 0.000516 acc_pose: 0.885768 loss: 0.000516 2022/09/28 10:06:02 - mmengine - INFO - Exp name: td-hm_res152_8xb32-210e_coco-256x192_20220927_191354 2022/09/28 10:06:02 - mmengine - INFO - Saving checkpoint at 210 epochs 2022/09/28 10:06:31 - mmengine - INFO - Epoch(val) [210][50/407] eta: 0:02:06 time: 0.354147 data_time: 0.142637 memory: 7071 2022/09/28 10:06:47 - mmengine - INFO - Epoch(val) [210][100/407] eta: 0:01:39 time: 0.325599 data_time: 0.119742 memory: 1674 2022/09/28 10:07:03 - mmengine - INFO - Epoch(val) [210][150/407] eta: 0:01:23 time: 0.323574 data_time: 0.098702 memory: 1674 2022/09/28 10:07:19 - mmengine - INFO - Epoch(val) [210][200/407] eta: 0:01:03 time: 0.308265 data_time: 0.112586 memory: 1674 2022/09/28 10:07:35 - mmengine - INFO - Epoch(val) [210][250/407] eta: 0:00:50 time: 0.322413 data_time: 0.124934 memory: 1674 2022/09/28 10:07:51 - mmengine - INFO - Epoch(val) [210][300/407] eta: 0:00:34 time: 0.319979 data_time: 0.132307 memory: 1674 2022/09/28 10:08:08 - mmengine - INFO - Epoch(val) [210][350/407] eta: 0:00:19 time: 0.335510 data_time: 0.145191 memory: 1674 2022/09/28 10:08:16 - mmengine - INFO - Epoch(val) [210][400/407] eta: 0:00:01 time: 0.169713 data_time: 0.061656 memory: 1674 2022/09/28 10:08:48 - mmengine - INFO - Evaluating CocoMetric... 2022/09/28 10:09:01 - mmengine - INFO - Epoch(val) [210][407/407] coco/AP: 0.735896 coco/AP .5: 0.904460 coco/AP .75: 0.818289 coco/AP (M): 0.701234 coco/AP (L): 0.800629 coco/AR: 0.790995 coco/AR .5: 0.941751 coco/AR .75: 0.862248 coco/AR (M): 0.749358 coco/AR (L): 0.850762 2022/09/28 10:09:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220927/r152_256/best_coco/AP_epoch_200.pth is removed 2022/09/28 10:09:04 - mmengine - INFO - The best checkpoint with 0.7359 coco/AP at 210 epoch is saved to best_coco/AP_epoch_210.pth.