2022/09/19 17:31:09 - 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: 24409622 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 ------------------------------------------------------------ 2022/09/19 17:31:10 - 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=(24, 32), 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='CPM', in_channels=3, out_channels=17, feat_channels=128, num_stages=6), head=dict( type='CPMHead', in_channels=17, out_channels=17, num_stages=6, deconv_out_channels=None, has_final_layer=False, loss=dict(type='KeypointMSELoss', use_target_weight=True), decoder=dict( type='MSRAHeatmap', input_size=(192, 256), heatmap_size=(24, 32), 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=(24, 32), 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=64, 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=(24, 32), 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/20220919/cpm_256/' 2022/09/19 17:31:45 - 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. 2022/09/19 17:31:45 - 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. 2022/09/19 17:31:45 - 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. 2022/09/19 17:31:45 - 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. 2022/09/19 17:31:45 - 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. 2022/09/19 17:31:45 - 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. 2022/09/19 17:31:45 - 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. 2022/09/19 17:31:45 - 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. 2022/09/19 17:31:48 - 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. 2022/09/19 17:31:50 - 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. 2022/09/19 17:31:50 - 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. 2022/09/19 17:31:50 - 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. 2022/09/19 17:31:50 - 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.stem.0.conv.weight - torch.Size([128, 3, 9, 9]): NormalInit: mean=0, std=0.001, bias=0 backbone.stem.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.2.conv.weight - torch.Size([128, 128, 9, 9]): NormalInit: mean=0, std=0.001, bias=0 backbone.stem.2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.4.conv.weight - torch.Size([128, 128, 9, 9]): NormalInit: mean=0, std=0.001, bias=0 backbone.stem.4.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.4.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.6.conv.weight - torch.Size([32, 128, 5, 5]): NormalInit: mean=0, std=0.001, bias=0 backbone.stem.6.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.6.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.7.conv.weight - torch.Size([512, 32, 9, 9]): NormalInit: mean=0, std=0.001, bias=0 backbone.stem.7.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.7.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.8.conv.weight - torch.Size([512, 512, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.stem.8.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.8.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.stem.9.conv.weight - torch.Size([17, 512, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.stem.9.conv.bias - torch.Size([17]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle.0.conv.weight - torch.Size([128, 3, 9, 9]): NormalInit: mean=0, std=0.001, bias=0 backbone.middle.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle.2.conv.weight - torch.Size([128, 128, 9, 9]): NormalInit: mean=0, std=0.001, bias=0 backbone.middle.2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle.2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle.4.conv.weight - torch.Size([128, 128, 9, 9]): NormalInit: mean=0, std=0.001, bias=0 backbone.middle.4.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle.4.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.0.model.0.conv.weight - torch.Size([128, 49, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.0.model.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.0.model.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.0.model.1.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.0.model.1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.0.model.1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.0.model.2.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.0.model.2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.0.model.2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.1.model.0.conv.weight - torch.Size([128, 49, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.1.model.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.1.model.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.1.model.1.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.1.model.1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.1.model.1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.1.model.2.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.1.model.2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.1.model.2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.2.model.0.conv.weight - torch.Size([128, 49, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.2.model.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.2.model.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.2.model.1.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.2.model.1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.2.model.1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.2.model.2.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.2.model.2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.2.model.2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.3.model.0.conv.weight - torch.Size([128, 49, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.3.model.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.3.model.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.3.model.1.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.3.model.1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.3.model.1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.3.model.2.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.3.model.2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.3.model.2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.4.model.0.conv.weight - torch.Size([128, 49, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.4.model.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.4.model.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.4.model.1.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.4.model.1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.4.model.1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.4.model.2.conv.weight - torch.Size([128, 128, 11, 11]): NormalInit: mean=0, std=0.001, bias=0 backbone.cpm_stages.4.model.2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.cpm_stages.4.model.2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.0.0.conv.weight - torch.Size([32, 128, 5, 5]): NormalInit: mean=0, std=0.001, bias=0 backbone.middle_conv.0.0.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.0.0.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.1.0.conv.weight - torch.Size([32, 128, 5, 5]): NormalInit: mean=0, std=0.001, bias=0 backbone.middle_conv.1.0.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.1.0.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.2.0.conv.weight - torch.Size([32, 128, 5, 5]): NormalInit: mean=0, std=0.001, bias=0 backbone.middle_conv.2.0.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.2.0.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.3.0.conv.weight - torch.Size([32, 128, 5, 5]): NormalInit: mean=0, std=0.001, bias=0 backbone.middle_conv.3.0.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.3.0.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.4.0.conv.weight - torch.Size([32, 128, 5, 5]): NormalInit: mean=0, std=0.001, bias=0 backbone.middle_conv.4.0.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.middle_conv.4.0.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.0.0.conv.weight - torch.Size([128, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.0.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.0.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.0.1.conv.weight - torch.Size([17, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.0.1.conv.bias - torch.Size([17]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.1.0.conv.weight - torch.Size([128, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.1.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.1.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.1.1.conv.weight - torch.Size([17, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.1.1.conv.bias - torch.Size([17]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.2.0.conv.weight - torch.Size([128, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.2.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.2.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.2.1.conv.weight - torch.Size([17, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.2.1.conv.bias - torch.Size([17]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.3.0.conv.weight - torch.Size([128, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.3.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.3.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.3.1.conv.weight - torch.Size([17, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.3.1.conv.bias - torch.Size([17]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.4.0.conv.weight - torch.Size([128, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.4.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.4.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator backbone.out_convs.4.1.conv.weight - torch.Size([17, 128, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 backbone.out_convs.4.1.conv.bias - torch.Size([17]): The value is the same before and after calling `init_weights` of TopdownPoseEstimator 2022/09/19 17:31:50 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/liqikai/work_dirs/20220919/cpm_256 by HardDiskBackend. 2022/09/19 17:34:10 - mmengine - INFO - Epoch(train) [1][50/293] lr: 4.954910e-05 eta: 1 day, 23:50:33 time: 2.801460 data_time: 1.077359 memory: 13365 loss_kpt: 0.048422 acc_pose: 0.085300 loss: 0.048422 2022/09/19 17:35:26 - mmengine - INFO - Epoch(train) [1][100/293] lr: 9.959920e-05 eta: 1 day, 12:45:48 time: 1.507456 data_time: 0.237513 memory: 13365 loss_kpt: 0.040861 acc_pose: 0.143043 loss: 0.040861 2022/09/19 17:36:20 - mmengine - INFO - Epoch(train) [1][150/293] lr: 1.496493e-04 eta: 1 day, 6:38:31 time: 1.082636 data_time: 0.085238 memory: 13365 loss_kpt: 0.037894 acc_pose: 0.194512 loss: 0.037894 2022/09/19 17:37:24 - mmengine - INFO - Epoch(train) [1][200/293] lr: 1.996994e-04 eta: 1 day, 4:25:45 time: 1.283490 data_time: 0.103736 memory: 13365 loss_kpt: 0.036388 acc_pose: 0.193770 loss: 0.036388 2022/09/19 17:38:16 - mmengine - INFO - Epoch(train) [1][250/293] lr: 2.497495e-04 eta: 1 day, 2:15:44 time: 1.039092 data_time: 0.085621 memory: 13365 loss_kpt: 0.034874 acc_pose: 0.205080 loss: 0.034874 2022/09/19 17:38:55 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:39:20 - mmengine - INFO - Epoch(train) [2][50/293] lr: 3.428427e-04 eta: 20:21:45 time: 0.504535 data_time: 0.085988 memory: 13365 loss_kpt: 0.034064 acc_pose: 0.240284 loss: 0.034064 2022/09/19 17:39:45 - mmengine - INFO - Epoch(train) [2][100/293] lr: 3.928928e-04 eta: 18:51:13 time: 0.507355 data_time: 0.083246 memory: 13365 loss_kpt: 0.032916 acc_pose: 0.333799 loss: 0.032916 2022/09/19 17:40:10 - mmengine - INFO - Epoch(train) [2][150/293] lr: 4.429429e-04 eta: 17:39:25 time: 0.493510 data_time: 0.074774 memory: 13365 loss_kpt: 0.032227 acc_pose: 0.356928 loss: 0.032227 2022/09/19 17:40:35 - mmengine - INFO - Epoch(train) [2][200/293] lr: 4.929930e-04 eta: 16:42:12 time: 0.494299 data_time: 0.071566 memory: 13365 loss_kpt: 0.031820 acc_pose: 0.307208 loss: 0.031820 2022/09/19 17:41:00 - mmengine - INFO - Epoch(train) [2][250/293] lr: 5.000000e-04 eta: 15:55:40 time: 0.496919 data_time: 0.077226 memory: 13365 loss_kpt: 0.031297 acc_pose: 0.294900 loss: 0.031297 2022/09/19 17:41:20 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:41:45 - mmengine - INFO - Epoch(train) [3][50/293] lr: 5.000000e-04 eta: 14:15:42 time: 0.514047 data_time: 0.093038 memory: 13365 loss_kpt: 0.029179 acc_pose: 0.347556 loss: 0.029179 2022/09/19 17:42:11 - mmengine - INFO - Epoch(train) [3][100/293] lr: 5.000000e-04 eta: 13:50:20 time: 0.509485 data_time: 0.077361 memory: 13365 loss_kpt: 0.029223 acc_pose: 0.346451 loss: 0.029223 2022/09/19 17:42:36 - mmengine - INFO - Epoch(train) [3][150/293] lr: 5.000000e-04 eta: 13:27:45 time: 0.500699 data_time: 0.076557 memory: 13365 loss_kpt: 0.028897 acc_pose: 0.407052 loss: 0.028897 2022/09/19 17:43:00 - mmengine - INFO - Epoch(train) [3][200/293] lr: 5.000000e-04 eta: 13:07:00 time: 0.485263 data_time: 0.074861 memory: 13365 loss_kpt: 0.028341 acc_pose: 0.353734 loss: 0.028341 2022/09/19 17:43:25 - mmengine - INFO - Epoch(train) [3][250/293] lr: 5.000000e-04 eta: 12:49:23 time: 0.496787 data_time: 0.069789 memory: 13365 loss_kpt: 0.028251 acc_pose: 0.350218 loss: 0.028251 2022/09/19 17:43:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:44:12 - mmengine - INFO - Epoch(train) [4][50/293] lr: 5.000000e-04 eta: 11:59:31 time: 0.519148 data_time: 0.081506 memory: 13365 loss_kpt: 0.027656 acc_pose: 0.461930 loss: 0.027656 2022/09/19 17:44:36 - mmengine - INFO - Epoch(train) [4][100/293] lr: 5.000000e-04 eta: 11:47:10 time: 0.484403 data_time: 0.069426 memory: 13365 loss_kpt: 0.026735 acc_pose: 0.440483 loss: 0.026735 2022/09/19 17:44:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:45:00 - mmengine - INFO - Epoch(train) [4][150/293] lr: 5.000000e-04 eta: 11:36:09 time: 0.487765 data_time: 0.070384 memory: 13365 loss_kpt: 0.027137 acc_pose: 0.389519 loss: 0.027137 2022/09/19 17:45:25 - mmengine - INFO - Epoch(train) [4][200/293] lr: 5.000000e-04 eta: 11:26:15 time: 0.490525 data_time: 0.074607 memory: 13365 loss_kpt: 0.026639 acc_pose: 0.435776 loss: 0.026639 2022/09/19 17:45:50 - mmengine - INFO - Epoch(train) [4][250/293] lr: 5.000000e-04 eta: 11:17:43 time: 0.502514 data_time: 0.082561 memory: 13365 loss_kpt: 0.026410 acc_pose: 0.395842 loss: 0.026410 2022/09/19 17:46:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:46:36 - mmengine - INFO - Epoch(train) [5][50/293] lr: 5.000000e-04 eta: 10:46:04 time: 0.507873 data_time: 0.085111 memory: 13365 loss_kpt: 0.026393 acc_pose: 0.424316 loss: 0.026393 2022/09/19 17:47:00 - mmengine - INFO - Epoch(train) [5][100/293] lr: 5.000000e-04 eta: 10:39:09 time: 0.481121 data_time: 0.069583 memory: 13365 loss_kpt: 0.025967 acc_pose: 0.461715 loss: 0.025967 2022/09/19 17:47:25 - mmengine - INFO - Epoch(train) [5][150/293] lr: 5.000000e-04 eta: 10:33:11 time: 0.493516 data_time: 0.075358 memory: 13365 loss_kpt: 0.025804 acc_pose: 0.446885 loss: 0.025804 2022/09/19 17:47:50 - mmengine - INFO - Epoch(train) [5][200/293] lr: 5.000000e-04 eta: 10:27:59 time: 0.502791 data_time: 0.084792 memory: 13365 loss_kpt: 0.025229 acc_pose: 0.509631 loss: 0.025229 2022/09/19 17:48:15 - mmengine - INFO - Epoch(train) [5][250/293] lr: 5.000000e-04 eta: 10:23:00 time: 0.499870 data_time: 0.071098 memory: 13365 loss_kpt: 0.025895 acc_pose: 0.442235 loss: 0.025895 2022/09/19 17:48:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:49:02 - mmengine - INFO - Epoch(train) [6][50/293] lr: 5.000000e-04 eta: 10:00:52 time: 0.515592 data_time: 0.085314 memory: 13365 loss_kpt: 0.025463 acc_pose: 0.455572 loss: 0.025463 2022/09/19 17:49:27 - mmengine - INFO - Epoch(train) [6][100/293] lr: 5.000000e-04 eta: 9:57:05 time: 0.497807 data_time: 0.069532 memory: 13365 loss_kpt: 0.025360 acc_pose: 0.503381 loss: 0.025360 2022/09/19 17:49:51 - mmengine - INFO - Epoch(train) [6][150/293] lr: 5.000000e-04 eta: 9:53:07 time: 0.485371 data_time: 0.068655 memory: 13365 loss_kpt: 0.024871 acc_pose: 0.485133 loss: 0.024871 2022/09/19 17:50:16 - mmengine - INFO - Epoch(train) [6][200/293] lr: 5.000000e-04 eta: 9:49:44 time: 0.497583 data_time: 0.076208 memory: 13365 loss_kpt: 0.025461 acc_pose: 0.446522 loss: 0.025461 2022/09/19 17:50:40 - mmengine - INFO - Epoch(train) [6][250/293] lr: 5.000000e-04 eta: 9:46:11 time: 0.485411 data_time: 0.071887 memory: 13365 loss_kpt: 0.024791 acc_pose: 0.430760 loss: 0.024791 2022/09/19 17:51:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:51:27 - mmengine - INFO - Epoch(train) [7][50/293] lr: 5.000000e-04 eta: 9:28:53 time: 0.498394 data_time: 0.082248 memory: 13365 loss_kpt: 0.024600 acc_pose: 0.500435 loss: 0.024600 2022/09/19 17:51:51 - mmengine - INFO - Epoch(train) [7][100/293] lr: 5.000000e-04 eta: 9:26:10 time: 0.487755 data_time: 0.072676 memory: 13365 loss_kpt: 0.024268 acc_pose: 0.482330 loss: 0.024268 2022/09/19 17:52:16 - mmengine - INFO - Epoch(train) [7][150/293] lr: 5.000000e-04 eta: 9:23:46 time: 0.495890 data_time: 0.073449 memory: 13365 loss_kpt: 0.024185 acc_pose: 0.513019 loss: 0.024185 2022/09/19 17:52:40 - mmengine - INFO - Epoch(train) [7][200/293] lr: 5.000000e-04 eta: 9:21:17 time: 0.487636 data_time: 0.072335 memory: 13365 loss_kpt: 0.024430 acc_pose: 0.556006 loss: 0.024430 2022/09/19 17:53:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:53:05 - mmengine - INFO - Epoch(train) [7][250/293] lr: 5.000000e-04 eta: 9:19:09 time: 0.498289 data_time: 0.075518 memory: 13365 loss_kpt: 0.023983 acc_pose: 0.466734 loss: 0.023983 2022/09/19 17:53:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:53:52 - mmengine - INFO - Epoch(train) [8][50/293] lr: 5.000000e-04 eta: 9:05:24 time: 0.501744 data_time: 0.085107 memory: 13365 loss_kpt: 0.023701 acc_pose: 0.487733 loss: 0.023701 2022/09/19 17:54:16 - mmengine - INFO - Epoch(train) [8][100/293] lr: 5.000000e-04 eta: 9:03:14 time: 0.476953 data_time: 0.074755 memory: 13365 loss_kpt: 0.023902 acc_pose: 0.541126 loss: 0.023902 2022/09/19 17:54:40 - mmengine - INFO - Epoch(train) [8][150/293] lr: 5.000000e-04 eta: 9:01:18 time: 0.482798 data_time: 0.072720 memory: 13365 loss_kpt: 0.023755 acc_pose: 0.481346 loss: 0.023755 2022/09/19 17:55:05 - mmengine - INFO - Epoch(train) [8][200/293] lr: 5.000000e-04 eta: 8:59:43 time: 0.496132 data_time: 0.071895 memory: 13365 loss_kpt: 0.023602 acc_pose: 0.539465 loss: 0.023602 2022/09/19 17:55:30 - mmengine - INFO - Epoch(train) [8][250/293] lr: 5.000000e-04 eta: 8:58:15 time: 0.499386 data_time: 0.071640 memory: 13365 loss_kpt: 0.023830 acc_pose: 0.512305 loss: 0.023830 2022/09/19 17:55:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:56:16 - mmengine - INFO - Epoch(train) [9][50/293] lr: 5.000000e-04 eta: 8:47:01 time: 0.509478 data_time: 0.090160 memory: 13365 loss_kpt: 0.023229 acc_pose: 0.455332 loss: 0.023229 2022/09/19 17:56:41 - mmengine - INFO - Epoch(train) [9][100/293] lr: 5.000000e-04 eta: 8:45:56 time: 0.503137 data_time: 0.069734 memory: 13365 loss_kpt: 0.023405 acc_pose: 0.476597 loss: 0.023405 2022/09/19 17:57:06 - mmengine - INFO - Epoch(train) [9][150/293] lr: 5.000000e-04 eta: 8:44:49 time: 0.500009 data_time: 0.073246 memory: 13365 loss_kpt: 0.023435 acc_pose: 0.461370 loss: 0.023435 2022/09/19 17:57:30 - mmengine - INFO - Epoch(train) [9][200/293] lr: 5.000000e-04 eta: 8:43:21 time: 0.480315 data_time: 0.066461 memory: 13365 loss_kpt: 0.023200 acc_pose: 0.541357 loss: 0.023200 2022/09/19 17:57:55 - mmengine - INFO - Epoch(train) [9][250/293] lr: 5.000000e-04 eta: 8:42:10 time: 0.493549 data_time: 0.076908 memory: 13365 loss_kpt: 0.023350 acc_pose: 0.503689 loss: 0.023350 2022/09/19 17:58:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 17:58:42 - mmengine - INFO - Epoch(train) [10][50/293] lr: 5.000000e-04 eta: 8:32:27 time: 0.500928 data_time: 0.085159 memory: 13365 loss_kpt: 0.022866 acc_pose: 0.530217 loss: 0.022866 2022/09/19 17:59:06 - mmengine - INFO - Epoch(train) [10][100/293] lr: 5.000000e-04 eta: 8:31:24 time: 0.488925 data_time: 0.077669 memory: 13365 loss_kpt: 0.023071 acc_pose: 0.494805 loss: 0.023071 2022/09/19 17:59:31 - mmengine - INFO - Epoch(train) [10][150/293] lr: 5.000000e-04 eta: 8:30:23 time: 0.488464 data_time: 0.073827 memory: 13365 loss_kpt: 0.023386 acc_pose: 0.526681 loss: 0.023386 2022/09/19 17:59:56 - mmengine - INFO - Epoch(train) [10][200/293] lr: 5.000000e-04 eta: 8:29:40 time: 0.505093 data_time: 0.069438 memory: 13365 loss_kpt: 0.022949 acc_pose: 0.530427 loss: 0.022949 2022/09/19 18:00:22 - mmengine - INFO - Epoch(train) [10][250/293] lr: 5.000000e-04 eta: 8:29:14 time: 0.521070 data_time: 0.074115 memory: 13365 loss_kpt: 0.022954 acc_pose: 0.511077 loss: 0.022954 2022/09/19 18:00:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:00:43 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/09/19 18:01:01 - mmengine - INFO - Epoch(val) [10][50/407] eta: 0:01:31 time: 0.257230 data_time: 0.124170 memory: 13365 2022/09/19 18:01:10 - mmengine - INFO - Epoch(val) [10][100/407] eta: 0:00:51 time: 0.168107 data_time: 0.029612 memory: 2189 2022/09/19 18:01:18 - mmengine - INFO - Epoch(val) [10][150/407] eta: 0:00:45 time: 0.175165 data_time: 0.039964 memory: 2189 2022/09/19 18:01:28 - mmengine - INFO - Epoch(val) [10][200/407] eta: 0:00:40 time: 0.195552 data_time: 0.060681 memory: 2189 2022/09/19 18:01:38 - mmengine - INFO - Epoch(val) [10][250/407] eta: 0:00:29 time: 0.190660 data_time: 0.057811 memory: 2189 2022/09/19 18:01:46 - mmengine - INFO - Epoch(val) [10][300/407] eta: 0:00:18 time: 0.176803 data_time: 0.043153 memory: 2189 2022/09/19 18:01:55 - mmengine - INFO - Epoch(val) [10][350/407] eta: 0:00:09 time: 0.164132 data_time: 0.032172 memory: 2189 2022/09/19 18:02:03 - mmengine - INFO - Epoch(val) [10][400/407] eta: 0:00:01 time: 0.164887 data_time: 0.031068 memory: 2189 2022/09/19 18:02:36 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 18:02:49 - mmengine - INFO - Epoch(val) [10][407/407] coco/AP: 0.414193 coco/AP .5: 0.733413 coco/AP .75: 0.414480 coco/AP (M): 0.397884 coco/AP (L): 0.452752 coco/AR: 0.479298 coco/AR .5: 0.787941 coco/AR .75: 0.495907 coco/AR (M): 0.447883 coco/AR (L): 0.523263 2022/09/19 18:02:52 - mmengine - INFO - The best checkpoint with 0.4142 coco/AP at 10 epoch is saved to best_coco/AP_epoch_10.pth. 2022/09/19 18:03:17 - mmengine - INFO - Epoch(train) [11][50/293] lr: 5.000000e-04 eta: 8:20:55 time: 0.510386 data_time: 0.080693 memory: 13365 loss_kpt: 0.022707 acc_pose: 0.474870 loss: 0.022707 2022/09/19 18:03:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:03:42 - mmengine - INFO - Epoch(train) [11][100/293] lr: 5.000000e-04 eta: 8:20:12 time: 0.495717 data_time: 0.069064 memory: 13365 loss_kpt: 0.022435 acc_pose: 0.549258 loss: 0.022435 2022/09/19 18:04:08 - mmengine - INFO - Epoch(train) [11][150/293] lr: 5.000000e-04 eta: 8:19:41 time: 0.507260 data_time: 0.078747 memory: 13365 loss_kpt: 0.022249 acc_pose: 0.459446 loss: 0.022249 2022/09/19 18:04:32 - mmengine - INFO - Epoch(train) [11][200/293] lr: 5.000000e-04 eta: 8:18:58 time: 0.493672 data_time: 0.072066 memory: 13365 loss_kpt: 0.022964 acc_pose: 0.476412 loss: 0.022964 2022/09/19 18:04:56 - mmengine - INFO - Epoch(train) [11][250/293] lr: 5.000000e-04 eta: 8:18:07 time: 0.485409 data_time: 0.075372 memory: 13365 loss_kpt: 0.022413 acc_pose: 0.526707 loss: 0.022413 2022/09/19 18:05:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:05:43 - mmengine - INFO - Epoch(train) [12][50/293] lr: 5.000000e-04 eta: 8:10:49 time: 0.514466 data_time: 0.083094 memory: 13365 loss_kpt: 0.022114 acc_pose: 0.524301 loss: 0.022114 2022/09/19 18:06:08 - mmengine - INFO - Epoch(train) [12][100/293] lr: 5.000000e-04 eta: 8:10:11 time: 0.490938 data_time: 0.074110 memory: 13365 loss_kpt: 0.022400 acc_pose: 0.493237 loss: 0.022400 2022/09/19 18:06:33 - mmengine - INFO - Epoch(train) [12][150/293] lr: 5.000000e-04 eta: 8:09:38 time: 0.495658 data_time: 0.073540 memory: 13365 loss_kpt: 0.022303 acc_pose: 0.538738 loss: 0.022303 2022/09/19 18:06:57 - mmengine - INFO - Epoch(train) [12][200/293] lr: 5.000000e-04 eta: 8:09:02 time: 0.492290 data_time: 0.073660 memory: 13365 loss_kpt: 0.021956 acc_pose: 0.516424 loss: 0.021956 2022/09/19 18:07:21 - mmengine - INFO - Epoch(train) [12][250/293] lr: 5.000000e-04 eta: 8:08:15 time: 0.479388 data_time: 0.074669 memory: 13365 loss_kpt: 0.022188 acc_pose: 0.552611 loss: 0.022188 2022/09/19 18:07:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:08:08 - mmengine - INFO - Epoch(train) [13][50/293] lr: 5.000000e-04 eta: 8:01:33 time: 0.502254 data_time: 0.086022 memory: 13365 loss_kpt: 0.021878 acc_pose: 0.578057 loss: 0.021878 2022/09/19 18:08:32 - mmengine - INFO - Epoch(train) [13][100/293] lr: 5.000000e-04 eta: 8:01:06 time: 0.495785 data_time: 0.079641 memory: 13365 loss_kpt: 0.022267 acc_pose: 0.548872 loss: 0.022267 2022/09/19 18:08:58 - mmengine - INFO - Epoch(train) [13][150/293] lr: 5.000000e-04 eta: 8:00:51 time: 0.510024 data_time: 0.077253 memory: 13365 loss_kpt: 0.022214 acc_pose: 0.528600 loss: 0.022214 2022/09/19 18:09:23 - mmengine - INFO - Epoch(train) [13][200/293] lr: 5.000000e-04 eta: 8:00:25 time: 0.497342 data_time: 0.069491 memory: 13365 loss_kpt: 0.022152 acc_pose: 0.556356 loss: 0.022152 2022/09/19 18:09:48 - mmengine - INFO - Epoch(train) [13][250/293] lr: 5.000000e-04 eta: 8:00:00 time: 0.498896 data_time: 0.078742 memory: 13365 loss_kpt: 0.021909 acc_pose: 0.569575 loss: 0.021909 2022/09/19 18:10:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:10:34 - mmengine - INFO - Epoch(train) [14][50/293] lr: 5.000000e-04 eta: 7:53:57 time: 0.504097 data_time: 0.083868 memory: 13365 loss_kpt: 0.022164 acc_pose: 0.582786 loss: 0.022164 2022/09/19 18:10:59 - mmengine - INFO - Epoch(train) [14][100/293] lr: 5.000000e-04 eta: 7:53:39 time: 0.502259 data_time: 0.080901 memory: 13365 loss_kpt: 0.021537 acc_pose: 0.513288 loss: 0.021537 2022/09/19 18:11:23 - mmengine - INFO - Epoch(train) [14][150/293] lr: 5.000000e-04 eta: 7:53:11 time: 0.488100 data_time: 0.070986 memory: 13365 loss_kpt: 0.021797 acc_pose: 0.508225 loss: 0.021797 2022/09/19 18:11:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:11:48 - mmengine - INFO - Epoch(train) [14][200/293] lr: 5.000000e-04 eta: 7:52:45 time: 0.491607 data_time: 0.070797 memory: 13365 loss_kpt: 0.021927 acc_pose: 0.568336 loss: 0.021927 2022/09/19 18:12:13 - mmengine - INFO - Epoch(train) [14][250/293] lr: 5.000000e-04 eta: 7:52:21 time: 0.493385 data_time: 0.075691 memory: 13365 loss_kpt: 0.021649 acc_pose: 0.485469 loss: 0.021649 2022/09/19 18:12:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:12:59 - mmengine - INFO - Epoch(train) [15][50/293] lr: 5.000000e-04 eta: 7:47:00 time: 0.519175 data_time: 0.091776 memory: 13365 loss_kpt: 0.021461 acc_pose: 0.540871 loss: 0.021461 2022/09/19 18:13:25 - mmengine - INFO - Epoch(train) [15][100/293] lr: 5.000000e-04 eta: 7:46:48 time: 0.506033 data_time: 0.071486 memory: 13365 loss_kpt: 0.021312 acc_pose: 0.548146 loss: 0.021312 2022/09/19 18:13:50 - mmengine - INFO - Epoch(train) [15][150/293] lr: 5.000000e-04 eta: 7:46:32 time: 0.501142 data_time: 0.069646 memory: 13365 loss_kpt: 0.021285 acc_pose: 0.524461 loss: 0.021285 2022/09/19 18:14:14 - mmengine - INFO - Epoch(train) [15][200/293] lr: 5.000000e-04 eta: 7:46:10 time: 0.493091 data_time: 0.071580 memory: 13365 loss_kpt: 0.021656 acc_pose: 0.554030 loss: 0.021656 2022/09/19 18:14:39 - mmengine - INFO - Epoch(train) [15][250/293] lr: 5.000000e-04 eta: 7:45:40 time: 0.480578 data_time: 0.073936 memory: 13365 loss_kpt: 0.021446 acc_pose: 0.548111 loss: 0.021446 2022/09/19 18:14:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:15:25 - mmengine - INFO - Epoch(train) [16][50/293] lr: 5.000000e-04 eta: 7:40:41 time: 0.513146 data_time: 0.095422 memory: 13365 loss_kpt: 0.021167 acc_pose: 0.506243 loss: 0.021167 2022/09/19 18:15:48 - mmengine - INFO - Epoch(train) [16][100/293] lr: 5.000000e-04 eta: 7:40:13 time: 0.478054 data_time: 0.069720 memory: 13365 loss_kpt: 0.021299 acc_pose: 0.505124 loss: 0.021299 2022/09/19 18:16:13 - mmengine - INFO - Epoch(train) [16][150/293] lr: 5.000000e-04 eta: 7:39:54 time: 0.492616 data_time: 0.075592 memory: 13365 loss_kpt: 0.021291 acc_pose: 0.509075 loss: 0.021291 2022/09/19 18:16:38 - mmengine - INFO - Epoch(train) [16][200/293] lr: 5.000000e-04 eta: 7:39:42 time: 0.504168 data_time: 0.071806 memory: 13365 loss_kpt: 0.021314 acc_pose: 0.554733 loss: 0.021314 2022/09/19 18:17:03 - mmengine - INFO - Epoch(train) [16][250/293] lr: 5.000000e-04 eta: 7:39:26 time: 0.497992 data_time: 0.070460 memory: 13365 loss_kpt: 0.021381 acc_pose: 0.523498 loss: 0.021381 2022/09/19 18:17:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:17:49 - mmengine - INFO - Epoch(train) [17][50/293] lr: 5.000000e-04 eta: 7:34:43 time: 0.504786 data_time: 0.088558 memory: 13365 loss_kpt: 0.021052 acc_pose: 0.582959 loss: 0.021052 2022/09/19 18:18:14 - mmengine - INFO - Epoch(train) [17][100/293] lr: 5.000000e-04 eta: 7:34:27 time: 0.494270 data_time: 0.068924 memory: 13365 loss_kpt: 0.021144 acc_pose: 0.521893 loss: 0.021144 2022/09/19 18:18:39 - mmengine - INFO - Epoch(train) [17][150/293] lr: 5.000000e-04 eta: 7:34:16 time: 0.502514 data_time: 0.077474 memory: 13365 loss_kpt: 0.021015 acc_pose: 0.512580 loss: 0.021015 2022/09/19 18:19:04 - mmengine - INFO - Epoch(train) [17][200/293] lr: 5.000000e-04 eta: 7:34:00 time: 0.493710 data_time: 0.073882 memory: 13365 loss_kpt: 0.021086 acc_pose: 0.494015 loss: 0.021086 2022/09/19 18:19:29 - mmengine - INFO - Epoch(train) [17][250/293] lr: 5.000000e-04 eta: 7:33:43 time: 0.494712 data_time: 0.074630 memory: 13365 loss_kpt: 0.020838 acc_pose: 0.536905 loss: 0.020838 2022/09/19 18:19:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:20:00 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:20:15 - mmengine - INFO - Epoch(train) [18][50/293] lr: 5.000000e-04 eta: 7:29:27 time: 0.516832 data_time: 0.088067 memory: 13365 loss_kpt: 0.020544 acc_pose: 0.462114 loss: 0.020544 2022/09/19 18:20:40 - mmengine - INFO - Epoch(train) [18][100/293] lr: 5.000000e-04 eta: 7:29:14 time: 0.498395 data_time: 0.073744 memory: 13365 loss_kpt: 0.020686 acc_pose: 0.545877 loss: 0.020686 2022/09/19 18:21:05 - mmengine - INFO - Epoch(train) [18][150/293] lr: 5.000000e-04 eta: 7:28:59 time: 0.493729 data_time: 0.075122 memory: 13365 loss_kpt: 0.021001 acc_pose: 0.559681 loss: 0.021001 2022/09/19 18:21:29 - mmengine - INFO - Epoch(train) [18][200/293] lr: 5.000000e-04 eta: 7:28:40 time: 0.485212 data_time: 0.073778 memory: 13365 loss_kpt: 0.020941 acc_pose: 0.609979 loss: 0.020941 2022/09/19 18:21:54 - mmengine - INFO - Epoch(train) [18][250/293] lr: 5.000000e-04 eta: 7:28:23 time: 0.491746 data_time: 0.071565 memory: 13365 loss_kpt: 0.021239 acc_pose: 0.551424 loss: 0.021239 2022/09/19 18:22:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:22:42 - mmengine - INFO - Epoch(train) [19][50/293] lr: 5.000000e-04 eta: 7:24:22 time: 0.515919 data_time: 0.089561 memory: 13365 loss_kpt: 0.020763 acc_pose: 0.578039 loss: 0.020763 2022/09/19 18:23:06 - mmengine - INFO - Epoch(train) [19][100/293] lr: 5.000000e-04 eta: 7:24:10 time: 0.496386 data_time: 0.077535 memory: 13365 loss_kpt: 0.020867 acc_pose: 0.593847 loss: 0.020867 2022/09/19 18:23:32 - mmengine - INFO - Epoch(train) [19][150/293] lr: 5.000000e-04 eta: 7:24:06 time: 0.512777 data_time: 0.081231 memory: 13365 loss_kpt: 0.020768 acc_pose: 0.572813 loss: 0.020768 2022/09/19 18:23:57 - mmengine - INFO - Epoch(train) [19][200/293] lr: 5.000000e-04 eta: 7:23:51 time: 0.492762 data_time: 0.070611 memory: 13365 loss_kpt: 0.020350 acc_pose: 0.477999 loss: 0.020350 2022/09/19 18:24:21 - mmengine - INFO - Epoch(train) [19][250/293] lr: 5.000000e-04 eta: 7:23:33 time: 0.485762 data_time: 0.070359 memory: 13365 loss_kpt: 0.020982 acc_pose: 0.561000 loss: 0.020982 2022/09/19 18:24:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:25:08 - mmengine - INFO - Epoch(train) [20][50/293] lr: 5.000000e-04 eta: 7:19:49 time: 0.522197 data_time: 0.082113 memory: 13365 loss_kpt: 0.020659 acc_pose: 0.541396 loss: 0.020659 2022/09/19 18:25:32 - mmengine - INFO - Epoch(train) [20][100/293] lr: 5.000000e-04 eta: 7:19:32 time: 0.485171 data_time: 0.074265 memory: 13365 loss_kpt: 0.020392 acc_pose: 0.529126 loss: 0.020392 2022/09/19 18:25:57 - mmengine - INFO - Epoch(train) [20][150/293] lr: 5.000000e-04 eta: 7:19:17 time: 0.490530 data_time: 0.075956 memory: 13365 loss_kpt: 0.020699 acc_pose: 0.558921 loss: 0.020699 2022/09/19 18:26:22 - mmengine - INFO - Epoch(train) [20][200/293] lr: 5.000000e-04 eta: 7:19:04 time: 0.493948 data_time: 0.078603 memory: 13365 loss_kpt: 0.020734 acc_pose: 0.509254 loss: 0.020734 2022/09/19 18:26:46 - mmengine - INFO - Epoch(train) [20][250/293] lr: 5.000000e-04 eta: 7:18:50 time: 0.493329 data_time: 0.072527 memory: 13365 loss_kpt: 0.020704 acc_pose: 0.537688 loss: 0.020704 2022/09/19 18:27:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:27:07 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/09/19 18:27:20 - mmengine - INFO - Epoch(val) [20][50/407] eta: 0:00:54 time: 0.153841 data_time: 0.022173 memory: 13365 2022/09/19 18:27:27 - mmengine - INFO - Epoch(val) [20][100/407] eta: 0:00:46 time: 0.152394 data_time: 0.012624 memory: 2189 2022/09/19 18:27:34 - mmengine - INFO - Epoch(val) [20][150/407] eta: 0:00:36 time: 0.143483 data_time: 0.011220 memory: 2189 2022/09/19 18:27:42 - mmengine - INFO - Epoch(val) [20][200/407] eta: 0:00:30 time: 0.148657 data_time: 0.013657 memory: 2189 2022/09/19 18:27:49 - mmengine - INFO - Epoch(val) [20][250/407] eta: 0:00:23 time: 0.148722 data_time: 0.010963 memory: 2189 2022/09/19 18:27:56 - mmengine - INFO - Epoch(val) [20][300/407] eta: 0:00:15 time: 0.142260 data_time: 0.011544 memory: 2189 2022/09/19 18:28:04 - mmengine - INFO - Epoch(val) [20][350/407] eta: 0:00:08 time: 0.148168 data_time: 0.013539 memory: 2189 2022/09/19 18:28:11 - mmengine - INFO - Epoch(val) [20][400/407] eta: 0:00:00 time: 0.141537 data_time: 0.008120 memory: 2189 2022/09/19 18:28:42 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 18:28:55 - mmengine - INFO - Epoch(val) [20][407/407] coco/AP: 0.483362 coco/AP .5: 0.786364 coco/AP .75: 0.516575 coco/AP (M): 0.463164 coco/AP (L): 0.529535 coco/AR: 0.549418 coco/AR .5: 0.837374 coco/AR .75: 0.592569 coco/AR (M): 0.515733 coco/AR (L): 0.596693 2022/09/19 18:28:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_10.pth is removed 2022/09/19 18:28:58 - mmengine - INFO - The best checkpoint with 0.4834 coco/AP at 20 epoch is saved to best_coco/AP_epoch_20.pth. 2022/09/19 18:29:24 - mmengine - INFO - Epoch(train) [21][50/293] lr: 5.000000e-04 eta: 7:15:17 time: 0.519893 data_time: 0.086603 memory: 13365 loss_kpt: 0.020230 acc_pose: 0.546567 loss: 0.020230 2022/09/19 18:29:49 - mmengine - INFO - Epoch(train) [21][100/293] lr: 5.000000e-04 eta: 7:15:05 time: 0.494552 data_time: 0.071840 memory: 13365 loss_kpt: 0.020284 acc_pose: 0.604582 loss: 0.020284 2022/09/19 18:30:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:30:13 - mmengine - INFO - Epoch(train) [21][150/293] lr: 5.000000e-04 eta: 7:14:53 time: 0.492909 data_time: 0.079471 memory: 13365 loss_kpt: 0.020240 acc_pose: 0.529505 loss: 0.020240 2022/09/19 18:30:38 - mmengine - INFO - Epoch(train) [21][200/293] lr: 5.000000e-04 eta: 7:14:41 time: 0.494954 data_time: 0.079226 memory: 13365 loss_kpt: 0.020903 acc_pose: 0.518528 loss: 0.020903 2022/09/19 18:31:03 - mmengine - INFO - Epoch(train) [21][250/293] lr: 5.000000e-04 eta: 7:14:32 time: 0.503090 data_time: 0.074745 memory: 13365 loss_kpt: 0.020306 acc_pose: 0.557440 loss: 0.020306 2022/09/19 18:31:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:31:49 - mmengine - INFO - Epoch(train) [22][50/293] lr: 5.000000e-04 eta: 7:11:01 time: 0.501075 data_time: 0.084220 memory: 13365 loss_kpt: 0.020223 acc_pose: 0.544356 loss: 0.020223 2022/09/19 18:32:14 - mmengine - INFO - Epoch(train) [22][100/293] lr: 5.000000e-04 eta: 7:10:50 time: 0.494319 data_time: 0.069816 memory: 13365 loss_kpt: 0.020540 acc_pose: 0.570089 loss: 0.020540 2022/09/19 18:32:39 - mmengine - INFO - Epoch(train) [22][150/293] lr: 5.000000e-04 eta: 7:10:41 time: 0.500887 data_time: 0.082335 memory: 13365 loss_kpt: 0.020204 acc_pose: 0.581935 loss: 0.020204 2022/09/19 18:33:04 - mmengine - INFO - Epoch(train) [22][200/293] lr: 5.000000e-04 eta: 7:10:27 time: 0.488535 data_time: 0.070380 memory: 13365 loss_kpt: 0.020209 acc_pose: 0.539311 loss: 0.020209 2022/09/19 18:33:29 - mmengine - INFO - Epoch(train) [22][250/293] lr: 5.000000e-04 eta: 7:10:19 time: 0.503524 data_time: 0.075017 memory: 13365 loss_kpt: 0.019990 acc_pose: 0.625617 loss: 0.019990 2022/09/19 18:33:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:34:15 - mmengine - INFO - Epoch(train) [23][50/293] lr: 5.000000e-04 eta: 7:07:02 time: 0.509784 data_time: 0.085941 memory: 13365 loss_kpt: 0.020199 acc_pose: 0.563030 loss: 0.020199 2022/09/19 18:34:40 - mmengine - INFO - Epoch(train) [23][100/293] lr: 5.000000e-04 eta: 7:06:50 time: 0.493633 data_time: 0.070209 memory: 13365 loss_kpt: 0.019899 acc_pose: 0.604270 loss: 0.019899 2022/09/19 18:35:05 - mmengine - INFO - Epoch(train) [23][150/293] lr: 5.000000e-04 eta: 7:06:38 time: 0.492064 data_time: 0.079944 memory: 13365 loss_kpt: 0.019908 acc_pose: 0.551237 loss: 0.019908 2022/09/19 18:35:30 - mmengine - INFO - Epoch(train) [23][200/293] lr: 5.000000e-04 eta: 7:06:31 time: 0.505782 data_time: 0.079614 memory: 13365 loss_kpt: 0.020123 acc_pose: 0.549262 loss: 0.020123 2022/09/19 18:35:54 - mmengine - INFO - Epoch(train) [23][250/293] lr: 5.000000e-04 eta: 7:06:17 time: 0.487465 data_time: 0.077056 memory: 13365 loss_kpt: 0.019968 acc_pose: 0.558096 loss: 0.019968 2022/09/19 18:36:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:36:40 - mmengine - INFO - Epoch(train) [24][50/293] lr: 5.000000e-04 eta: 7:03:08 time: 0.507747 data_time: 0.086221 memory: 13365 loss_kpt: 0.020031 acc_pose: 0.583960 loss: 0.020031 2022/09/19 18:37:05 - mmengine - INFO - Epoch(train) [24][100/293] lr: 5.000000e-04 eta: 7:02:56 time: 0.492089 data_time: 0.079480 memory: 13365 loss_kpt: 0.020001 acc_pose: 0.604004 loss: 0.020001 2022/09/19 18:37:29 - mmengine - INFO - Epoch(train) [24][150/293] lr: 5.000000e-04 eta: 7:02:40 time: 0.482305 data_time: 0.070412 memory: 13365 loss_kpt: 0.019849 acc_pose: 0.615426 loss: 0.019849 2022/09/19 18:37:54 - mmengine - INFO - Epoch(train) [24][200/293] lr: 5.000000e-04 eta: 7:02:27 time: 0.490083 data_time: 0.074505 memory: 13365 loss_kpt: 0.019986 acc_pose: 0.587352 loss: 0.019986 2022/09/19 18:38:18 - mmengine - INFO - Epoch(train) [24][250/293] lr: 5.000000e-04 eta: 7:02:14 time: 0.488860 data_time: 0.075337 memory: 13365 loss_kpt: 0.019789 acc_pose: 0.540649 loss: 0.019789 2022/09/19 18:38:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:38:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:39:05 - mmengine - INFO - Epoch(train) [25][50/293] lr: 5.000000e-04 eta: 6:59:13 time: 0.506644 data_time: 0.083294 memory: 13365 loss_kpt: 0.019744 acc_pose: 0.553016 loss: 0.019744 2022/09/19 18:39:29 - mmengine - INFO - Epoch(train) [25][100/293] lr: 5.000000e-04 eta: 6:59:02 time: 0.492805 data_time: 0.077458 memory: 13365 loss_kpt: 0.019670 acc_pose: 0.580696 loss: 0.019670 2022/09/19 18:39:54 - mmengine - INFO - Epoch(train) [25][150/293] lr: 5.000000e-04 eta: 6:58:47 time: 0.482979 data_time: 0.070112 memory: 13365 loss_kpt: 0.020113 acc_pose: 0.612212 loss: 0.020113 2022/09/19 18:40:18 - mmengine - INFO - Epoch(train) [25][200/293] lr: 5.000000e-04 eta: 6:58:35 time: 0.492813 data_time: 0.072548 memory: 13365 loss_kpt: 0.019837 acc_pose: 0.536188 loss: 0.019837 2022/09/19 18:40:43 - mmengine - INFO - Epoch(train) [25][250/293] lr: 5.000000e-04 eta: 6:58:26 time: 0.499690 data_time: 0.077038 memory: 13365 loss_kpt: 0.019456 acc_pose: 0.609541 loss: 0.019456 2022/09/19 18:41:04 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:41:30 - mmengine - INFO - Epoch(train) [26][50/293] lr: 5.000000e-04 eta: 6:55:36 time: 0.516168 data_time: 0.082593 memory: 13365 loss_kpt: 0.019698 acc_pose: 0.499811 loss: 0.019698 2022/09/19 18:41:55 - mmengine - INFO - Epoch(train) [26][100/293] lr: 5.000000e-04 eta: 6:55:26 time: 0.497276 data_time: 0.083869 memory: 13365 loss_kpt: 0.019855 acc_pose: 0.634493 loss: 0.019855 2022/09/19 18:42:19 - mmengine - INFO - Epoch(train) [26][150/293] lr: 5.000000e-04 eta: 6:55:14 time: 0.490322 data_time: 0.067988 memory: 13365 loss_kpt: 0.020084 acc_pose: 0.499313 loss: 0.020084 2022/09/19 18:42:44 - mmengine - INFO - Epoch(train) [26][200/293] lr: 5.000000e-04 eta: 6:55:00 time: 0.485196 data_time: 0.073419 memory: 13365 loss_kpt: 0.019561 acc_pose: 0.544989 loss: 0.019561 2022/09/19 18:43:08 - mmengine - INFO - Epoch(train) [26][250/293] lr: 5.000000e-04 eta: 6:54:44 time: 0.481020 data_time: 0.073426 memory: 13365 loss_kpt: 0.019728 acc_pose: 0.536517 loss: 0.019728 2022/09/19 18:43:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:43:54 - mmengine - INFO - Epoch(train) [27][50/293] lr: 5.000000e-04 eta: 6:51:57 time: 0.504439 data_time: 0.084000 memory: 13365 loss_kpt: 0.019666 acc_pose: 0.557870 loss: 0.019666 2022/09/19 18:44:18 - mmengine - INFO - Epoch(train) [27][100/293] lr: 5.000000e-04 eta: 6:51:46 time: 0.493288 data_time: 0.073802 memory: 13365 loss_kpt: 0.019360 acc_pose: 0.515001 loss: 0.019360 2022/09/19 18:44:44 - mmengine - INFO - Epoch(train) [27][150/293] lr: 5.000000e-04 eta: 6:51:39 time: 0.505256 data_time: 0.070892 memory: 13365 loss_kpt: 0.019392 acc_pose: 0.657583 loss: 0.019392 2022/09/19 18:45:08 - mmengine - INFO - Epoch(train) [27][200/293] lr: 5.000000e-04 eta: 6:51:29 time: 0.498362 data_time: 0.067621 memory: 13365 loss_kpt: 0.019610 acc_pose: 0.605988 loss: 0.019610 2022/09/19 18:45:33 - mmengine - INFO - Epoch(train) [27][250/293] lr: 5.000000e-04 eta: 6:51:14 time: 0.483964 data_time: 0.082329 memory: 13365 loss_kpt: 0.019559 acc_pose: 0.546677 loss: 0.019559 2022/09/19 18:45:53 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:46:19 - mmengine - INFO - Epoch(train) [28][50/293] lr: 5.000000e-04 eta: 6:48:36 time: 0.510525 data_time: 0.083988 memory: 13365 loss_kpt: 0.019594 acc_pose: 0.618288 loss: 0.019594 2022/09/19 18:46:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:46:44 - mmengine - INFO - Epoch(train) [28][100/293] lr: 5.000000e-04 eta: 6:48:24 time: 0.492498 data_time: 0.076192 memory: 13365 loss_kpt: 0.019885 acc_pose: 0.576281 loss: 0.019885 2022/09/19 18:47:08 - mmengine - INFO - Epoch(train) [28][150/293] lr: 5.000000e-04 eta: 6:48:11 time: 0.485612 data_time: 0.073794 memory: 13365 loss_kpt: 0.019765 acc_pose: 0.518951 loss: 0.019765 2022/09/19 18:47:33 - mmengine - INFO - Epoch(train) [28][200/293] lr: 5.000000e-04 eta: 6:48:00 time: 0.494705 data_time: 0.075211 memory: 13365 loss_kpt: 0.019348 acc_pose: 0.555192 loss: 0.019348 2022/09/19 18:47:58 - mmengine - INFO - Epoch(train) [28][250/293] lr: 5.000000e-04 eta: 6:47:50 time: 0.497332 data_time: 0.072745 memory: 13365 loss_kpt: 0.019452 acc_pose: 0.644196 loss: 0.019452 2022/09/19 18:48:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:48:43 - mmengine - INFO - Epoch(train) [29][50/293] lr: 5.000000e-04 eta: 6:45:14 time: 0.500850 data_time: 0.085522 memory: 13365 loss_kpt: 0.019821 acc_pose: 0.591270 loss: 0.019821 2022/09/19 18:49:07 - mmengine - INFO - Epoch(train) [29][100/293] lr: 5.000000e-04 eta: 6:45:00 time: 0.486471 data_time: 0.069646 memory: 13365 loss_kpt: 0.019456 acc_pose: 0.547219 loss: 0.019456 2022/09/19 18:49:32 - mmengine - INFO - Epoch(train) [29][150/293] lr: 5.000000e-04 eta: 6:44:50 time: 0.495996 data_time: 0.078517 memory: 13365 loss_kpt: 0.019424 acc_pose: 0.543093 loss: 0.019424 2022/09/19 18:49:57 - mmengine - INFO - Epoch(train) [29][200/293] lr: 5.000000e-04 eta: 6:44:42 time: 0.504815 data_time: 0.076843 memory: 13365 loss_kpt: 0.019332 acc_pose: 0.617134 loss: 0.019332 2022/09/19 18:50:22 - mmengine - INFO - Epoch(train) [29][250/293] lr: 5.000000e-04 eta: 6:44:29 time: 0.488005 data_time: 0.072894 memory: 13365 loss_kpt: 0.019391 acc_pose: 0.583028 loss: 0.019391 2022/09/19 18:50:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:51:08 - mmengine - INFO - Epoch(train) [30][50/293] lr: 5.000000e-04 eta: 6:41:58 time: 0.499542 data_time: 0.085388 memory: 13365 loss_kpt: 0.019430 acc_pose: 0.620323 loss: 0.019430 2022/09/19 18:51:32 - mmengine - INFO - Epoch(train) [30][100/293] lr: 5.000000e-04 eta: 6:41:48 time: 0.497079 data_time: 0.080468 memory: 13365 loss_kpt: 0.019475 acc_pose: 0.586985 loss: 0.019475 2022/09/19 18:51:57 - mmengine - INFO - Epoch(train) [30][150/293] lr: 5.000000e-04 eta: 6:41:36 time: 0.490757 data_time: 0.071008 memory: 13365 loss_kpt: 0.019175 acc_pose: 0.566583 loss: 0.019175 2022/09/19 18:52:22 - mmengine - INFO - Epoch(train) [30][200/293] lr: 5.000000e-04 eta: 6:41:25 time: 0.493613 data_time: 0.069314 memory: 13365 loss_kpt: 0.019117 acc_pose: 0.576320 loss: 0.019117 2022/09/19 18:52:46 - mmengine - INFO - Epoch(train) [30][250/293] lr: 5.000000e-04 eta: 6:41:14 time: 0.496685 data_time: 0.073985 memory: 13365 loss_kpt: 0.019404 acc_pose: 0.606767 loss: 0.019404 2022/09/19 18:53:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:53:07 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/09/19 18:53:19 - mmengine - INFO - Epoch(val) [30][50/407] eta: 0:00:54 time: 0.153194 data_time: 0.018653 memory: 13365 2022/09/19 18:53:26 - mmengine - INFO - Epoch(val) [30][100/407] eta: 0:00:46 time: 0.150612 data_time: 0.014476 memory: 2189 2022/09/19 18:53:34 - mmengine - INFO - Epoch(val) [30][150/407] eta: 0:00:38 time: 0.149667 data_time: 0.011679 memory: 2189 2022/09/19 18:53:41 - mmengine - INFO - Epoch(val) [30][200/407] eta: 0:00:30 time: 0.147956 data_time: 0.013503 memory: 2189 2022/09/19 18:53:49 - mmengine - INFO - Epoch(val) [30][250/407] eta: 0:00:24 time: 0.155868 data_time: 0.021800 memory: 2189 2022/09/19 18:53:57 - mmengine - INFO - Epoch(val) [30][300/407] eta: 0:00:16 time: 0.150134 data_time: 0.010321 memory: 2189 2022/09/19 18:54:04 - mmengine - INFO - Epoch(val) [30][350/407] eta: 0:00:08 time: 0.145810 data_time: 0.012978 memory: 2189 2022/09/19 18:54:11 - mmengine - INFO - Epoch(val) [30][400/407] eta: 0:00:00 time: 0.141422 data_time: 0.012835 memory: 2189 2022/09/19 18:54:43 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 18:54:56 - mmengine - INFO - Epoch(val) [30][407/407] coco/AP: 0.511159 coco/AP .5: 0.796631 coco/AP .75: 0.561152 coco/AP (M): 0.490252 coco/AP (L): 0.560415 coco/AR: 0.574465 coco/AR .5: 0.848552 coco/AR .75: 0.630668 coco/AR (M): 0.540317 coco/AR (L): 0.623003 2022/09/19 18:54:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_20.pth is removed 2022/09/19 18:54:58 - mmengine - INFO - The best checkpoint with 0.5112 coco/AP at 30 epoch is saved to best_coco/AP_epoch_30.pth. 2022/09/19 18:55:23 - mmengine - INFO - Epoch(train) [31][50/293] lr: 5.000000e-04 eta: 6:38:46 time: 0.492371 data_time: 0.078212 memory: 13365 loss_kpt: 0.019271 acc_pose: 0.650401 loss: 0.019271 2022/09/19 18:55:47 - mmengine - INFO - Epoch(train) [31][100/293] lr: 5.000000e-04 eta: 6:38:33 time: 0.486988 data_time: 0.079330 memory: 13365 loss_kpt: 0.019311 acc_pose: 0.567312 loss: 0.019311 2022/09/19 18:56:12 - mmengine - INFO - Epoch(train) [31][150/293] lr: 5.000000e-04 eta: 6:38:23 time: 0.498053 data_time: 0.070980 memory: 13365 loss_kpt: 0.018607 acc_pose: 0.594166 loss: 0.018607 2022/09/19 18:56:37 - mmengine - INFO - Epoch(train) [31][200/293] lr: 5.000000e-04 eta: 6:38:13 time: 0.498448 data_time: 0.077585 memory: 13365 loss_kpt: 0.019003 acc_pose: 0.628320 loss: 0.019003 2022/09/19 18:56:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:57:02 - mmengine - INFO - Epoch(train) [31][250/293] lr: 5.000000e-04 eta: 6:38:01 time: 0.490298 data_time: 0.069325 memory: 13365 loss_kpt: 0.018991 acc_pose: 0.653363 loss: 0.018991 2022/09/19 18:57:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 18:57:48 - mmengine - INFO - Epoch(train) [32][50/293] lr: 5.000000e-04 eta: 6:35:39 time: 0.498104 data_time: 0.080405 memory: 13365 loss_kpt: 0.019308 acc_pose: 0.583512 loss: 0.019308 2022/09/19 18:58:12 - mmengine - INFO - Epoch(train) [32][100/293] lr: 5.000000e-04 eta: 6:35:26 time: 0.488499 data_time: 0.073662 memory: 13365 loss_kpt: 0.018944 acc_pose: 0.631835 loss: 0.018944 2022/09/19 18:58:37 - mmengine - INFO - Epoch(train) [32][150/293] lr: 5.000000e-04 eta: 6:35:13 time: 0.487819 data_time: 0.069810 memory: 13365 loss_kpt: 0.019139 acc_pose: 0.626479 loss: 0.019139 2022/09/19 18:59:02 - mmengine - INFO - Epoch(train) [32][200/293] lr: 5.000000e-04 eta: 6:35:06 time: 0.507461 data_time: 0.077401 memory: 13365 loss_kpt: 0.019379 acc_pose: 0.637703 loss: 0.019379 2022/09/19 18:59:27 - mmengine - INFO - Epoch(train) [32][250/293] lr: 5.000000e-04 eta: 6:34:55 time: 0.496809 data_time: 0.076541 memory: 13365 loss_kpt: 0.018782 acc_pose: 0.634134 loss: 0.018782 2022/09/19 18:59:47 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:00:12 - mmengine - INFO - Epoch(train) [33][50/293] lr: 5.000000e-04 eta: 6:32:37 time: 0.496597 data_time: 0.081811 memory: 13365 loss_kpt: 0.019102 acc_pose: 0.636834 loss: 0.019102 2022/09/19 19:00:37 - mmengine - INFO - Epoch(train) [33][100/293] lr: 5.000000e-04 eta: 6:32:24 time: 0.487265 data_time: 0.076087 memory: 13365 loss_kpt: 0.019139 acc_pose: 0.586562 loss: 0.019139 2022/09/19 19:01:02 - mmengine - INFO - Epoch(train) [33][150/293] lr: 5.000000e-04 eta: 6:32:14 time: 0.500127 data_time: 0.072798 memory: 13365 loss_kpt: 0.019102 acc_pose: 0.533964 loss: 0.019102 2022/09/19 19:01:26 - mmengine - INFO - Epoch(train) [33][200/293] lr: 5.000000e-04 eta: 6:32:01 time: 0.488809 data_time: 0.070318 memory: 13365 loss_kpt: 0.018926 acc_pose: 0.617611 loss: 0.018926 2022/09/19 19:01:51 - mmengine - INFO - Epoch(train) [33][250/293] lr: 5.000000e-04 eta: 6:31:50 time: 0.492744 data_time: 0.073825 memory: 13365 loss_kpt: 0.019311 acc_pose: 0.680224 loss: 0.019311 2022/09/19 19:02:12 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:02:36 - mmengine - INFO - Epoch(train) [34][50/293] lr: 5.000000e-04 eta: 6:29:35 time: 0.495887 data_time: 0.086409 memory: 13365 loss_kpt: 0.019011 acc_pose: 0.562458 loss: 0.019011 2022/09/19 19:03:01 - mmengine - INFO - Epoch(train) [34][100/293] lr: 5.000000e-04 eta: 6:29:23 time: 0.490383 data_time: 0.071141 memory: 13365 loss_kpt: 0.018629 acc_pose: 0.615474 loss: 0.018629 2022/09/19 19:03:25 - mmengine - INFO - Epoch(train) [34][150/293] lr: 5.000000e-04 eta: 6:29:10 time: 0.488231 data_time: 0.071908 memory: 13365 loss_kpt: 0.018946 acc_pose: 0.586946 loss: 0.018946 2022/09/19 19:03:51 - mmengine - INFO - Epoch(train) [34][200/293] lr: 5.000000e-04 eta: 6:29:01 time: 0.505138 data_time: 0.077575 memory: 13365 loss_kpt: 0.018925 acc_pose: 0.592171 loss: 0.018925 2022/09/19 19:04:15 - mmengine - INFO - Epoch(train) [34][250/293] lr: 5.000000e-04 eta: 6:28:50 time: 0.493807 data_time: 0.080551 memory: 13365 loss_kpt: 0.019267 acc_pose: 0.627632 loss: 0.019267 2022/09/19 19:04:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:04:56 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:05:02 - mmengine - INFO - Epoch(train) [35][50/293] lr: 5.000000e-04 eta: 6:26:43 time: 0.511386 data_time: 0.087249 memory: 13365 loss_kpt: 0.018984 acc_pose: 0.633258 loss: 0.018984 2022/09/19 19:05:26 - mmengine - INFO - Epoch(train) [35][100/293] lr: 5.000000e-04 eta: 6:26:30 time: 0.489371 data_time: 0.076269 memory: 13365 loss_kpt: 0.018697 acc_pose: 0.580679 loss: 0.018697 2022/09/19 19:05:51 - mmengine - INFO - Epoch(train) [35][150/293] lr: 5.000000e-04 eta: 6:26:18 time: 0.490788 data_time: 0.076021 memory: 13365 loss_kpt: 0.018598 acc_pose: 0.603834 loss: 0.018598 2022/09/19 19:06:16 - mmengine - INFO - Epoch(train) [35][200/293] lr: 5.000000e-04 eta: 6:26:08 time: 0.498955 data_time: 0.071614 memory: 13365 loss_kpt: 0.018729 acc_pose: 0.602945 loss: 0.018729 2022/09/19 19:06:40 - mmengine - INFO - Epoch(train) [35][250/293] lr: 5.000000e-04 eta: 6:25:56 time: 0.493314 data_time: 0.069374 memory: 13365 loss_kpt: 0.018730 acc_pose: 0.563314 loss: 0.018730 2022/09/19 19:07:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:07:27 - mmengine - INFO - Epoch(train) [36][50/293] lr: 5.000000e-04 eta: 6:23:53 time: 0.514017 data_time: 0.089309 memory: 13365 loss_kpt: 0.018599 acc_pose: 0.601842 loss: 0.018599 2022/09/19 19:07:52 - mmengine - INFO - Epoch(train) [36][100/293] lr: 5.000000e-04 eta: 6:23:41 time: 0.493155 data_time: 0.076969 memory: 13365 loss_kpt: 0.019156 acc_pose: 0.625721 loss: 0.019156 2022/09/19 19:08:16 - mmengine - INFO - Epoch(train) [36][150/293] lr: 5.000000e-04 eta: 6:23:28 time: 0.487358 data_time: 0.079352 memory: 13365 loss_kpt: 0.018646 acc_pose: 0.599518 loss: 0.018646 2022/09/19 19:08:41 - mmengine - INFO - Epoch(train) [36][200/293] lr: 5.000000e-04 eta: 6:23:17 time: 0.497092 data_time: 0.074841 memory: 13365 loss_kpt: 0.018419 acc_pose: 0.632878 loss: 0.018419 2022/09/19 19:09:05 - mmengine - INFO - Epoch(train) [36][250/293] lr: 5.000000e-04 eta: 6:23:03 time: 0.487124 data_time: 0.070270 memory: 13365 loss_kpt: 0.018977 acc_pose: 0.635515 loss: 0.018977 2022/09/19 19:09:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:09:52 - mmengine - INFO - Epoch(train) [37][50/293] lr: 5.000000e-04 eta: 6:21:03 time: 0.512294 data_time: 0.081122 memory: 13365 loss_kpt: 0.018720 acc_pose: 0.628872 loss: 0.018720 2022/09/19 19:10:17 - mmengine - INFO - Epoch(train) [37][100/293] lr: 5.000000e-04 eta: 6:20:51 time: 0.492689 data_time: 0.079216 memory: 13365 loss_kpt: 0.018612 acc_pose: 0.602125 loss: 0.018612 2022/09/19 19:10:42 - mmengine - INFO - Epoch(train) [37][150/293] lr: 5.000000e-04 eta: 6:20:40 time: 0.496285 data_time: 0.071811 memory: 13365 loss_kpt: 0.018349 acc_pose: 0.614959 loss: 0.018349 2022/09/19 19:11:07 - mmengine - INFO - Epoch(train) [37][200/293] lr: 5.000000e-04 eta: 6:20:30 time: 0.501097 data_time: 0.077014 memory: 13365 loss_kpt: 0.018619 acc_pose: 0.621556 loss: 0.018619 2022/09/19 19:11:32 - mmengine - INFO - Epoch(train) [37][250/293] lr: 5.000000e-04 eta: 6:20:20 time: 0.501173 data_time: 0.081948 memory: 13365 loss_kpt: 0.018648 acc_pose: 0.570346 loss: 0.018648 2022/09/19 19:11:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:12:17 - mmengine - INFO - Epoch(train) [38][50/293] lr: 5.000000e-04 eta: 6:18:22 time: 0.508958 data_time: 0.085640 memory: 13365 loss_kpt: 0.018674 acc_pose: 0.618020 loss: 0.018674 2022/09/19 19:12:42 - mmengine - INFO - Epoch(train) [38][100/293] lr: 5.000000e-04 eta: 6:18:08 time: 0.487504 data_time: 0.072218 memory: 13365 loss_kpt: 0.018964 acc_pose: 0.580371 loss: 0.018964 2022/09/19 19:13:06 - mmengine - INFO - Epoch(train) [38][150/293] lr: 5.000000e-04 eta: 6:17:55 time: 0.486733 data_time: 0.069732 memory: 13365 loss_kpt: 0.018340 acc_pose: 0.572550 loss: 0.018340 2022/09/19 19:13:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:13:31 - mmengine - INFO - Epoch(train) [38][200/293] lr: 5.000000e-04 eta: 6:17:42 time: 0.493421 data_time: 0.076207 memory: 13365 loss_kpt: 0.018699 acc_pose: 0.599080 loss: 0.018699 2022/09/19 19:13:55 - mmengine - INFO - Epoch(train) [38][250/293] lr: 5.000000e-04 eta: 6:17:28 time: 0.483716 data_time: 0.074242 memory: 13365 loss_kpt: 0.018256 acc_pose: 0.663328 loss: 0.018256 2022/09/19 19:14:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:14:41 - mmengine - INFO - Epoch(train) [39][50/293] lr: 5.000000e-04 eta: 6:15:30 time: 0.497525 data_time: 0.087526 memory: 13365 loss_kpt: 0.018383 acc_pose: 0.602339 loss: 0.018383 2022/09/19 19:15:05 - mmengine - INFO - Epoch(train) [39][100/293] lr: 5.000000e-04 eta: 6:15:19 time: 0.496573 data_time: 0.070585 memory: 13365 loss_kpt: 0.018153 acc_pose: 0.670878 loss: 0.018153 2022/09/19 19:15:30 - mmengine - INFO - Epoch(train) [39][150/293] lr: 5.000000e-04 eta: 6:15:07 time: 0.496630 data_time: 0.070121 memory: 13365 loss_kpt: 0.018276 acc_pose: 0.625638 loss: 0.018276 2022/09/19 19:15:55 - mmengine - INFO - Epoch(train) [39][200/293] lr: 5.000000e-04 eta: 6:14:53 time: 0.486998 data_time: 0.069553 memory: 13365 loss_kpt: 0.018405 acc_pose: 0.645693 loss: 0.018405 2022/09/19 19:16:20 - mmengine - INFO - Epoch(train) [39][250/293] lr: 5.000000e-04 eta: 6:14:44 time: 0.506365 data_time: 0.070545 memory: 13365 loss_kpt: 0.018568 acc_pose: 0.637440 loss: 0.018568 2022/09/19 19:16:41 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:17:06 - mmengine - INFO - Epoch(train) [40][50/293] lr: 5.000000e-04 eta: 6:12:49 time: 0.498831 data_time: 0.089140 memory: 13365 loss_kpt: 0.018809 acc_pose: 0.568796 loss: 0.018809 2022/09/19 19:17:31 - mmengine - INFO - Epoch(train) [40][100/293] lr: 5.000000e-04 eta: 6:12:38 time: 0.501094 data_time: 0.075529 memory: 13365 loss_kpt: 0.018490 acc_pose: 0.609712 loss: 0.018490 2022/09/19 19:17:56 - mmengine - INFO - Epoch(train) [40][150/293] lr: 5.000000e-04 eta: 6:12:28 time: 0.504358 data_time: 0.069322 memory: 13365 loss_kpt: 0.018562 acc_pose: 0.610083 loss: 0.018562 2022/09/19 19:18:21 - mmengine - INFO - Epoch(train) [40][200/293] lr: 5.000000e-04 eta: 6:12:17 time: 0.497578 data_time: 0.084092 memory: 13365 loss_kpt: 0.018492 acc_pose: 0.544668 loss: 0.018492 2022/09/19 19:18:45 - mmengine - INFO - Epoch(train) [40][250/293] lr: 5.000000e-04 eta: 6:12:01 time: 0.478676 data_time: 0.069828 memory: 13365 loss_kpt: 0.018074 acc_pose: 0.587309 loss: 0.018074 2022/09/19 19:19:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:19:06 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/09/19 19:19:19 - mmengine - INFO - Epoch(val) [40][50/407] eta: 0:00:56 time: 0.158460 data_time: 0.021562 memory: 13365 2022/09/19 19:19:26 - mmengine - INFO - Epoch(val) [40][100/407] eta: 0:00:45 time: 0.146634 data_time: 0.011944 memory: 2189 2022/09/19 19:19:33 - mmengine - INFO - Epoch(val) [40][150/407] eta: 0:00:37 time: 0.144186 data_time: 0.011256 memory: 2189 2022/09/19 19:19:41 - mmengine - INFO - Epoch(val) [40][200/407] eta: 0:00:30 time: 0.146742 data_time: 0.012247 memory: 2189 2022/09/19 19:19:48 - mmengine - INFO - Epoch(val) [40][250/407] eta: 0:00:23 time: 0.147427 data_time: 0.012070 memory: 2189 2022/09/19 19:19:55 - mmengine - INFO - Epoch(val) [40][300/407] eta: 0:00:15 time: 0.146023 data_time: 0.011928 memory: 2189 2022/09/19 19:20:03 - mmengine - INFO - Epoch(val) [40][350/407] eta: 0:00:08 time: 0.146470 data_time: 0.012068 memory: 2189 2022/09/19 19:20:09 - mmengine - INFO - Epoch(val) [40][400/407] eta: 0:00:00 time: 0.138830 data_time: 0.009675 memory: 2189 2022/09/19 19:20:41 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 19:20:54 - mmengine - INFO - Epoch(val) [40][407/407] coco/AP: 0.529949 coco/AP .5: 0.814297 coco/AP .75: 0.577449 coco/AP (M): 0.507714 coco/AP (L): 0.581377 coco/AR: 0.598205 coco/AR .5: 0.865082 coco/AR .75: 0.653338 coco/AR (M): 0.561868 coco/AR (L): 0.649498 2022/09/19 19:20:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_30.pth is removed 2022/09/19 19:20:57 - mmengine - INFO - The best checkpoint with 0.5299 coco/AP at 40 epoch is saved to best_coco/AP_epoch_40.pth. 2022/09/19 19:21:22 - mmengine - INFO - Epoch(train) [41][50/293] lr: 5.000000e-04 eta: 6:10:11 time: 0.509986 data_time: 0.091987 memory: 13365 loss_kpt: 0.018340 acc_pose: 0.625383 loss: 0.018340 2022/09/19 19:21:47 - mmengine - INFO - Epoch(train) [41][100/293] lr: 5.000000e-04 eta: 6:09:59 time: 0.495040 data_time: 0.070154 memory: 13365 loss_kpt: 0.018737 acc_pose: 0.584391 loss: 0.018737 2022/09/19 19:22:12 - mmengine - INFO - Epoch(train) [41][150/293] lr: 5.000000e-04 eta: 6:09:48 time: 0.498586 data_time: 0.071398 memory: 13365 loss_kpt: 0.018587 acc_pose: 0.535204 loss: 0.018587 2022/09/19 19:22:37 - mmengine - INFO - Epoch(train) [41][200/293] lr: 5.000000e-04 eta: 6:09:36 time: 0.496348 data_time: 0.078042 memory: 13365 loss_kpt: 0.018129 acc_pose: 0.652301 loss: 0.018129 2022/09/19 19:23:01 - mmengine - INFO - Epoch(train) [41][250/293] lr: 5.000000e-04 eta: 6:09:22 time: 0.490164 data_time: 0.073327 memory: 13365 loss_kpt: 0.018431 acc_pose: 0.579575 loss: 0.018431 2022/09/19 19:23:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:23:22 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:23:48 - mmengine - INFO - Epoch(train) [42][50/293] lr: 5.000000e-04 eta: 6:07:36 time: 0.514666 data_time: 0.088100 memory: 13365 loss_kpt: 0.018452 acc_pose: 0.563846 loss: 0.018452 2022/09/19 19:24:13 - mmengine - INFO - Epoch(train) [42][100/293] lr: 5.000000e-04 eta: 6:07:24 time: 0.496777 data_time: 0.080475 memory: 13365 loss_kpt: 0.018191 acc_pose: 0.580685 loss: 0.018191 2022/09/19 19:24:37 - mmengine - INFO - Epoch(train) [42][150/293] lr: 5.000000e-04 eta: 6:07:10 time: 0.487201 data_time: 0.070395 memory: 13365 loss_kpt: 0.018229 acc_pose: 0.647756 loss: 0.018229 2022/09/19 19:25:02 - mmengine - INFO - Epoch(train) [42][200/293] lr: 5.000000e-04 eta: 6:06:59 time: 0.504037 data_time: 0.079132 memory: 13365 loss_kpt: 0.018270 acc_pose: 0.633570 loss: 0.018270 2022/09/19 19:25:27 - mmengine - INFO - Epoch(train) [42][250/293] lr: 5.000000e-04 eta: 6:06:47 time: 0.495580 data_time: 0.078829 memory: 13365 loss_kpt: 0.018170 acc_pose: 0.625132 loss: 0.018170 2022/09/19 19:25:48 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:26:13 - mmengine - INFO - Epoch(train) [43][50/293] lr: 5.000000e-04 eta: 6:04:58 time: 0.494232 data_time: 0.082144 memory: 13365 loss_kpt: 0.018310 acc_pose: 0.653015 loss: 0.018310 2022/09/19 19:26:38 - mmengine - INFO - Epoch(train) [43][100/293] lr: 5.000000e-04 eta: 6:04:47 time: 0.500156 data_time: 0.073158 memory: 13365 loss_kpt: 0.018134 acc_pose: 0.630934 loss: 0.018134 2022/09/19 19:27:03 - mmengine - INFO - Epoch(train) [43][150/293] lr: 5.000000e-04 eta: 6:04:36 time: 0.503851 data_time: 0.071023 memory: 13365 loss_kpt: 0.018215 acc_pose: 0.638971 loss: 0.018215 2022/09/19 19:27:28 - mmengine - INFO - Epoch(train) [43][200/293] lr: 5.000000e-04 eta: 6:04:23 time: 0.493186 data_time: 0.078227 memory: 13365 loss_kpt: 0.018260 acc_pose: 0.664288 loss: 0.018260 2022/09/19 19:27:52 - mmengine - INFO - Epoch(train) [43][250/293] lr: 5.000000e-04 eta: 6:04:09 time: 0.489578 data_time: 0.079247 memory: 13365 loss_kpt: 0.017977 acc_pose: 0.624515 loss: 0.017977 2022/09/19 19:28:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:28:39 - mmengine - INFO - Epoch(train) [44][50/293] lr: 5.000000e-04 eta: 6:02:27 time: 0.515480 data_time: 0.085729 memory: 13365 loss_kpt: 0.018191 acc_pose: 0.622908 loss: 0.018191 2022/09/19 19:29:03 - mmengine - INFO - Epoch(train) [44][100/293] lr: 5.000000e-04 eta: 6:02:13 time: 0.486408 data_time: 0.073830 memory: 13365 loss_kpt: 0.017979 acc_pose: 0.643879 loss: 0.017979 2022/09/19 19:29:28 - mmengine - INFO - Epoch(train) [44][150/293] lr: 5.000000e-04 eta: 6:01:59 time: 0.491171 data_time: 0.070768 memory: 13365 loss_kpt: 0.017931 acc_pose: 0.556873 loss: 0.017931 2022/09/19 19:29:52 - mmengine - INFO - Epoch(train) [44][200/293] lr: 5.000000e-04 eta: 6:01:45 time: 0.489626 data_time: 0.074190 memory: 13365 loss_kpt: 0.018393 acc_pose: 0.643408 loss: 0.018393 2022/09/19 19:30:16 - mmengine - INFO - Epoch(train) [44][250/293] lr: 5.000000e-04 eta: 6:01:31 time: 0.487232 data_time: 0.073430 memory: 13365 loss_kpt: 0.017801 acc_pose: 0.600897 loss: 0.017801 2022/09/19 19:30:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:31:03 - mmengine - INFO - Epoch(train) [45][50/293] lr: 5.000000e-04 eta: 5:59:50 time: 0.509939 data_time: 0.079935 memory: 13365 loss_kpt: 0.018363 acc_pose: 0.588201 loss: 0.018363 2022/09/19 19:31:28 - mmengine - INFO - Epoch(train) [45][100/293] lr: 5.000000e-04 eta: 5:59:36 time: 0.489573 data_time: 0.069408 memory: 13365 loss_kpt: 0.017959 acc_pose: 0.590801 loss: 0.017959 2022/09/19 19:31:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:31:53 - mmengine - INFO - Epoch(train) [45][150/293] lr: 5.000000e-04 eta: 5:59:24 time: 0.497815 data_time: 0.077483 memory: 13365 loss_kpt: 0.017931 acc_pose: 0.614844 loss: 0.017931 2022/09/19 19:32:17 - mmengine - INFO - Epoch(train) [45][200/293] lr: 5.000000e-04 eta: 5:59:11 time: 0.494059 data_time: 0.070179 memory: 13365 loss_kpt: 0.018144 acc_pose: 0.558521 loss: 0.018144 2022/09/19 19:32:42 - mmengine - INFO - Epoch(train) [45][250/293] lr: 5.000000e-04 eta: 5:58:57 time: 0.491546 data_time: 0.079219 memory: 13365 loss_kpt: 0.017888 acc_pose: 0.561193 loss: 0.017888 2022/09/19 19:33:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:33:29 - mmengine - INFO - Epoch(train) [46][50/293] lr: 5.000000e-04 eta: 5:57:20 time: 0.522675 data_time: 0.087653 memory: 13365 loss_kpt: 0.018265 acc_pose: 0.595454 loss: 0.018265 2022/09/19 19:33:54 - mmengine - INFO - Epoch(train) [46][100/293] lr: 5.000000e-04 eta: 5:57:05 time: 0.487500 data_time: 0.072000 memory: 13365 loss_kpt: 0.018123 acc_pose: 0.587442 loss: 0.018123 2022/09/19 19:34:18 - mmengine - INFO - Epoch(train) [46][150/293] lr: 5.000000e-04 eta: 5:56:50 time: 0.479861 data_time: 0.071400 memory: 13365 loss_kpt: 0.018174 acc_pose: 0.639538 loss: 0.018174 2022/09/19 19:34:43 - mmengine - INFO - Epoch(train) [46][200/293] lr: 5.000000e-04 eta: 5:56:38 time: 0.500849 data_time: 0.078485 memory: 13365 loss_kpt: 0.017991 acc_pose: 0.607722 loss: 0.017991 2022/09/19 19:35:07 - mmengine - INFO - Epoch(train) [46][250/293] lr: 5.000000e-04 eta: 5:56:23 time: 0.487423 data_time: 0.068759 memory: 13365 loss_kpt: 0.018001 acc_pose: 0.588364 loss: 0.018001 2022/09/19 19:35:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:35:54 - mmengine - INFO - Epoch(train) [47][50/293] lr: 5.000000e-04 eta: 5:54:46 time: 0.512100 data_time: 0.087613 memory: 13365 loss_kpt: 0.017614 acc_pose: 0.590161 loss: 0.017614 2022/09/19 19:36:18 - mmengine - INFO - Epoch(train) [47][100/293] lr: 5.000000e-04 eta: 5:54:31 time: 0.482362 data_time: 0.074798 memory: 13365 loss_kpt: 0.017956 acc_pose: 0.648270 loss: 0.017956 2022/09/19 19:36:43 - mmengine - INFO - Epoch(train) [47][150/293] lr: 5.000000e-04 eta: 5:54:19 time: 0.501853 data_time: 0.073907 memory: 13365 loss_kpt: 0.018065 acc_pose: 0.656429 loss: 0.018065 2022/09/19 19:37:08 - mmengine - INFO - Epoch(train) [47][200/293] lr: 5.000000e-04 eta: 5:54:04 time: 0.488606 data_time: 0.073486 memory: 13365 loss_kpt: 0.017717 acc_pose: 0.608322 loss: 0.017717 2022/09/19 19:37:32 - mmengine - INFO - Epoch(train) [47][250/293] lr: 5.000000e-04 eta: 5:53:49 time: 0.483371 data_time: 0.077389 memory: 13365 loss_kpt: 0.018325 acc_pose: 0.569932 loss: 0.018325 2022/09/19 19:37:53 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:38:19 - mmengine - INFO - Epoch(train) [48][50/293] lr: 5.000000e-04 eta: 5:52:13 time: 0.506693 data_time: 0.080858 memory: 13365 loss_kpt: 0.018712 acc_pose: 0.570143 loss: 0.018712 2022/09/19 19:38:44 - mmengine - INFO - Epoch(train) [48][100/293] lr: 5.000000e-04 eta: 5:52:00 time: 0.499396 data_time: 0.077836 memory: 13365 loss_kpt: 0.017910 acc_pose: 0.632044 loss: 0.017910 2022/09/19 19:39:08 - mmengine - INFO - Epoch(train) [48][150/293] lr: 5.000000e-04 eta: 5:51:46 time: 0.488497 data_time: 0.070458 memory: 13365 loss_kpt: 0.018204 acc_pose: 0.651539 loss: 0.018204 2022/09/19 19:39:32 - mmengine - INFO - Epoch(train) [48][200/293] lr: 5.000000e-04 eta: 5:51:30 time: 0.483873 data_time: 0.073380 memory: 13365 loss_kpt: 0.017841 acc_pose: 0.638075 loss: 0.017841 2022/09/19 19:39:47 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:39:57 - mmengine - INFO - Epoch(train) [48][250/293] lr: 5.000000e-04 eta: 5:51:17 time: 0.495385 data_time: 0.074259 memory: 13365 loss_kpt: 0.018052 acc_pose: 0.622671 loss: 0.018052 2022/09/19 19:40:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:40:44 - mmengine - INFO - Epoch(train) [49][50/293] lr: 5.000000e-04 eta: 5:49:43 time: 0.507749 data_time: 0.082215 memory: 13365 loss_kpt: 0.017945 acc_pose: 0.619342 loss: 0.017945 2022/09/19 19:41:08 - mmengine - INFO - Epoch(train) [49][100/293] lr: 5.000000e-04 eta: 5:49:28 time: 0.489845 data_time: 0.073165 memory: 13365 loss_kpt: 0.017946 acc_pose: 0.624628 loss: 0.017946 2022/09/19 19:41:33 - mmengine - INFO - Epoch(train) [49][150/293] lr: 5.000000e-04 eta: 5:49:15 time: 0.494914 data_time: 0.074605 memory: 13365 loss_kpt: 0.017627 acc_pose: 0.638775 loss: 0.017627 2022/09/19 19:41:58 - mmengine - INFO - Epoch(train) [49][200/293] lr: 5.000000e-04 eta: 5:49:03 time: 0.506413 data_time: 0.071616 memory: 13365 loss_kpt: 0.018476 acc_pose: 0.593175 loss: 0.018476 2022/09/19 19:42:23 - mmengine - INFO - Epoch(train) [49][250/293] lr: 5.000000e-04 eta: 5:48:48 time: 0.486675 data_time: 0.070861 memory: 13365 loss_kpt: 0.017640 acc_pose: 0.616741 loss: 0.017640 2022/09/19 19:42:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:43:08 - mmengine - INFO - Epoch(train) [50][50/293] lr: 5.000000e-04 eta: 5:47:15 time: 0.507598 data_time: 0.090212 memory: 13365 loss_kpt: 0.017841 acc_pose: 0.594625 loss: 0.017841 2022/09/19 19:43:33 - mmengine - INFO - Epoch(train) [50][100/293] lr: 5.000000e-04 eta: 5:47:01 time: 0.487875 data_time: 0.069057 memory: 13365 loss_kpt: 0.018141 acc_pose: 0.616807 loss: 0.018141 2022/09/19 19:43:58 - mmengine - INFO - Epoch(train) [50][150/293] lr: 5.000000e-04 eta: 5:46:48 time: 0.498325 data_time: 0.073713 memory: 13365 loss_kpt: 0.017631 acc_pose: 0.667895 loss: 0.017631 2022/09/19 19:44:22 - mmengine - INFO - Epoch(train) [50][200/293] lr: 5.000000e-04 eta: 5:46:34 time: 0.492841 data_time: 0.072947 memory: 13365 loss_kpt: 0.017441 acc_pose: 0.613339 loss: 0.017441 2022/09/19 19:44:48 - mmengine - INFO - Epoch(train) [50][250/293] lr: 5.000000e-04 eta: 5:46:22 time: 0.506031 data_time: 0.077423 memory: 13365 loss_kpt: 0.017791 acc_pose: 0.641862 loss: 0.017791 2022/09/19 19:45:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:45:08 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/09/19 19:45:20 - mmengine - INFO - Epoch(val) [50][50/407] eta: 0:00:54 time: 0.151765 data_time: 0.017799 memory: 13365 2022/09/19 19:45:28 - mmengine - INFO - Epoch(val) [50][100/407] eta: 0:00:45 time: 0.148011 data_time: 0.010908 memory: 2189 2022/09/19 19:45:35 - mmengine - INFO - Epoch(val) [50][150/407] eta: 0:00:38 time: 0.148954 data_time: 0.014479 memory: 2189 2022/09/19 19:45:43 - mmengine - INFO - Epoch(val) [50][200/407] eta: 0:00:30 time: 0.145578 data_time: 0.011473 memory: 2189 2022/09/19 19:45:50 - mmengine - INFO - Epoch(val) [50][250/407] eta: 0:00:24 time: 0.153325 data_time: 0.011173 memory: 2189 2022/09/19 19:45:58 - mmengine - INFO - Epoch(val) [50][300/407] eta: 0:00:15 time: 0.148081 data_time: 0.011341 memory: 2189 2022/09/19 19:46:05 - mmengine - INFO - Epoch(val) [50][350/407] eta: 0:00:08 time: 0.146368 data_time: 0.010691 memory: 2189 2022/09/19 19:46:12 - mmengine - INFO - Epoch(val) [50][400/407] eta: 0:00:00 time: 0.138193 data_time: 0.009386 memory: 2189 2022/09/19 19:46:43 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 19:46:55 - mmengine - INFO - Epoch(val) [50][407/407] coco/AP: 0.545437 coco/AP .5: 0.816110 coco/AP .75: 0.602973 coco/AP (M): 0.520920 coco/AP (L): 0.601496 coco/AR: 0.609855 coco/AR .5: 0.868388 coco/AR .75: 0.667349 coco/AR (M): 0.572658 coco/AR (L): 0.662393 2022/09/19 19:46:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_40.pth is removed 2022/09/19 19:46:58 - mmengine - INFO - The best checkpoint with 0.5454 coco/AP at 50 epoch is saved to best_coco/AP_epoch_50.pth. 2022/09/19 19:47:24 - mmengine - INFO - Epoch(train) [51][50/293] lr: 5.000000e-04 eta: 5:44:50 time: 0.505251 data_time: 0.083040 memory: 13365 loss_kpt: 0.017799 acc_pose: 0.589409 loss: 0.017799 2022/09/19 19:47:48 - mmengine - INFO - Epoch(train) [51][100/293] lr: 5.000000e-04 eta: 5:44:35 time: 0.486472 data_time: 0.072181 memory: 13365 loss_kpt: 0.017614 acc_pose: 0.641333 loss: 0.017614 2022/09/19 19:48:13 - mmengine - INFO - Epoch(train) [51][150/293] lr: 5.000000e-04 eta: 5:44:22 time: 0.504920 data_time: 0.073318 memory: 13365 loss_kpt: 0.018073 acc_pose: 0.611308 loss: 0.018073 2022/09/19 19:48:38 - mmengine - INFO - Epoch(train) [51][200/293] lr: 5.000000e-04 eta: 5:44:10 time: 0.502479 data_time: 0.072919 memory: 13365 loss_kpt: 0.018231 acc_pose: 0.604126 loss: 0.018231 2022/09/19 19:49:02 - mmengine - INFO - Epoch(train) [51][250/293] lr: 5.000000e-04 eta: 5:43:54 time: 0.482106 data_time: 0.070185 memory: 13365 loss_kpt: 0.017882 acc_pose: 0.654067 loss: 0.017882 2022/09/19 19:49:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:49:49 - mmengine - INFO - Epoch(train) [52][50/293] lr: 5.000000e-04 eta: 5:42:23 time: 0.504778 data_time: 0.084786 memory: 13365 loss_kpt: 0.017795 acc_pose: 0.576980 loss: 0.017795 2022/09/19 19:49:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:50:13 - mmengine - INFO - Epoch(train) [52][100/293] lr: 5.000000e-04 eta: 5:42:09 time: 0.488930 data_time: 0.080022 memory: 13365 loss_kpt: 0.017698 acc_pose: 0.634114 loss: 0.017698 2022/09/19 19:50:38 - mmengine - INFO - Epoch(train) [52][150/293] lr: 5.000000e-04 eta: 5:41:56 time: 0.504926 data_time: 0.078828 memory: 13365 loss_kpt: 0.017748 acc_pose: 0.608169 loss: 0.017748 2022/09/19 19:51:03 - mmengine - INFO - Epoch(train) [52][200/293] lr: 5.000000e-04 eta: 5:41:42 time: 0.491015 data_time: 0.069933 memory: 13365 loss_kpt: 0.017899 acc_pose: 0.668566 loss: 0.017899 2022/09/19 19:51:27 - mmengine - INFO - Epoch(train) [52][250/293] lr: 5.000000e-04 eta: 5:41:27 time: 0.493338 data_time: 0.074406 memory: 13365 loss_kpt: 0.017737 acc_pose: 0.626786 loss: 0.017737 2022/09/19 19:51:48 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:52:14 - mmengine - INFO - Epoch(train) [53][50/293] lr: 5.000000e-04 eta: 5:39:59 time: 0.509456 data_time: 0.086110 memory: 13365 loss_kpt: 0.017724 acc_pose: 0.629046 loss: 0.017724 2022/09/19 19:52:38 - mmengine - INFO - Epoch(train) [53][100/293] lr: 5.000000e-04 eta: 5:39:45 time: 0.496335 data_time: 0.077087 memory: 13365 loss_kpt: 0.017872 acc_pose: 0.623150 loss: 0.017872 2022/09/19 19:53:03 - mmengine - INFO - Epoch(train) [53][150/293] lr: 5.000000e-04 eta: 5:39:32 time: 0.497185 data_time: 0.079101 memory: 13365 loss_kpt: 0.017892 acc_pose: 0.629224 loss: 0.017892 2022/09/19 19:53:28 - mmengine - INFO - Epoch(train) [53][200/293] lr: 5.000000e-04 eta: 5:39:16 time: 0.483415 data_time: 0.075348 memory: 13365 loss_kpt: 0.017729 acc_pose: 0.539416 loss: 0.017729 2022/09/19 19:53:52 - mmengine - INFO - Epoch(train) [53][250/293] lr: 5.000000e-04 eta: 5:39:01 time: 0.490547 data_time: 0.070997 memory: 13365 loss_kpt: 0.017716 acc_pose: 0.640290 loss: 0.017716 2022/09/19 19:54:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:54:38 - mmengine - INFO - Epoch(train) [54][50/293] lr: 5.000000e-04 eta: 5:37:32 time: 0.498281 data_time: 0.086678 memory: 13365 loss_kpt: 0.017566 acc_pose: 0.628892 loss: 0.017566 2022/09/19 19:55:02 - mmengine - INFO - Epoch(train) [54][100/293] lr: 5.000000e-04 eta: 5:37:17 time: 0.485416 data_time: 0.073799 memory: 13365 loss_kpt: 0.017668 acc_pose: 0.669772 loss: 0.017668 2022/09/19 19:55:27 - mmengine - INFO - Epoch(train) [54][150/293] lr: 5.000000e-04 eta: 5:37:02 time: 0.489196 data_time: 0.079189 memory: 13365 loss_kpt: 0.017908 acc_pose: 0.596610 loss: 0.017908 2022/09/19 19:55:51 - mmengine - INFO - Epoch(train) [54][200/293] lr: 5.000000e-04 eta: 5:36:46 time: 0.486723 data_time: 0.070015 memory: 13365 loss_kpt: 0.017800 acc_pose: 0.620591 loss: 0.017800 2022/09/19 19:56:16 - mmengine - INFO - Epoch(train) [54][250/293] lr: 5.000000e-04 eta: 5:36:32 time: 0.495175 data_time: 0.070373 memory: 13365 loss_kpt: 0.017932 acc_pose: 0.619123 loss: 0.017932 2022/09/19 19:56:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:57:02 - mmengine - INFO - Epoch(train) [55][50/293] lr: 5.000000e-04 eta: 5:35:05 time: 0.503194 data_time: 0.083558 memory: 13365 loss_kpt: 0.017436 acc_pose: 0.547518 loss: 0.017436 2022/09/19 19:57:26 - mmengine - INFO - Epoch(train) [55][100/293] lr: 5.000000e-04 eta: 5:34:50 time: 0.489578 data_time: 0.067521 memory: 13365 loss_kpt: 0.017783 acc_pose: 0.598622 loss: 0.017783 2022/09/19 19:57:51 - mmengine - INFO - Epoch(train) [55][150/293] lr: 5.000000e-04 eta: 5:34:36 time: 0.492778 data_time: 0.072386 memory: 13365 loss_kpt: 0.017650 acc_pose: 0.617394 loss: 0.017650 2022/09/19 19:58:05 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:58:16 - mmengine - INFO - Epoch(train) [55][200/293] lr: 5.000000e-04 eta: 5:34:22 time: 0.498031 data_time: 0.068241 memory: 13365 loss_kpt: 0.017613 acc_pose: 0.647571 loss: 0.017613 2022/09/19 19:58:40 - mmengine - INFO - Epoch(train) [55][250/293] lr: 5.000000e-04 eta: 5:34:07 time: 0.488881 data_time: 0.074620 memory: 13365 loss_kpt: 0.017704 acc_pose: 0.621265 loss: 0.017704 2022/09/19 19:59:00 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 19:59:26 - mmengine - INFO - Epoch(train) [56][50/293] lr: 5.000000e-04 eta: 5:32:41 time: 0.505152 data_time: 0.083862 memory: 13365 loss_kpt: 0.017244 acc_pose: 0.616789 loss: 0.017244 2022/09/19 19:59:51 - mmengine - INFO - Epoch(train) [56][100/293] lr: 5.000000e-04 eta: 5:32:27 time: 0.496529 data_time: 0.075115 memory: 13365 loss_kpt: 0.017844 acc_pose: 0.616036 loss: 0.017844 2022/09/19 20:00:16 - mmengine - INFO - Epoch(train) [56][150/293] lr: 5.000000e-04 eta: 5:32:14 time: 0.503011 data_time: 0.074869 memory: 13365 loss_kpt: 0.017539 acc_pose: 0.580682 loss: 0.017539 2022/09/19 20:00:40 - mmengine - INFO - Epoch(train) [56][200/293] lr: 5.000000e-04 eta: 5:31:59 time: 0.488351 data_time: 0.074115 memory: 13365 loss_kpt: 0.017415 acc_pose: 0.578971 loss: 0.017415 2022/09/19 20:01:05 - mmengine - INFO - Epoch(train) [56][250/293] lr: 5.000000e-04 eta: 5:31:45 time: 0.502174 data_time: 0.074838 memory: 13365 loss_kpt: 0.017613 acc_pose: 0.648409 loss: 0.017613 2022/09/19 20:01:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:01:52 - mmengine - INFO - Epoch(train) [57][50/293] lr: 5.000000e-04 eta: 5:30:21 time: 0.501101 data_time: 0.087210 memory: 13365 loss_kpt: 0.017399 acc_pose: 0.616915 loss: 0.017399 2022/09/19 20:02:16 - mmengine - INFO - Epoch(train) [57][100/293] lr: 5.000000e-04 eta: 5:30:05 time: 0.490335 data_time: 0.078954 memory: 13365 loss_kpt: 0.017732 acc_pose: 0.624430 loss: 0.017732 2022/09/19 20:02:41 - mmengine - INFO - Epoch(train) [57][150/293] lr: 5.000000e-04 eta: 5:29:52 time: 0.500192 data_time: 0.070974 memory: 13365 loss_kpt: 0.017982 acc_pose: 0.607276 loss: 0.017982 2022/09/19 20:03:05 - mmengine - INFO - Epoch(train) [57][200/293] lr: 5.000000e-04 eta: 5:29:36 time: 0.485730 data_time: 0.070047 memory: 13365 loss_kpt: 0.017476 acc_pose: 0.600933 loss: 0.017476 2022/09/19 20:03:30 - mmengine - INFO - Epoch(train) [57][250/293] lr: 5.000000e-04 eta: 5:29:20 time: 0.489933 data_time: 0.079300 memory: 13365 loss_kpt: 0.017786 acc_pose: 0.617464 loss: 0.017786 2022/09/19 20:03:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:04:17 - mmengine - INFO - Epoch(train) [58][50/293] lr: 5.000000e-04 eta: 5:27:59 time: 0.515791 data_time: 0.091947 memory: 13365 loss_kpt: 0.017558 acc_pose: 0.593509 loss: 0.017558 2022/09/19 20:04:42 - mmengine - INFO - Epoch(train) [58][100/293] lr: 5.000000e-04 eta: 5:27:44 time: 0.488977 data_time: 0.071133 memory: 13365 loss_kpt: 0.017928 acc_pose: 0.595833 loss: 0.017928 2022/09/19 20:05:07 - mmengine - INFO - Epoch(train) [58][150/293] lr: 5.000000e-04 eta: 5:27:30 time: 0.505797 data_time: 0.071258 memory: 13365 loss_kpt: 0.017533 acc_pose: 0.591206 loss: 0.017533 2022/09/19 20:05:31 - mmengine - INFO - Epoch(train) [58][200/293] lr: 5.000000e-04 eta: 5:27:15 time: 0.486998 data_time: 0.078675 memory: 13365 loss_kpt: 0.017285 acc_pose: 0.652025 loss: 0.017285 2022/09/19 20:05:56 - mmengine - INFO - Epoch(train) [58][250/293] lr: 5.000000e-04 eta: 5:26:59 time: 0.486495 data_time: 0.075388 memory: 13365 loss_kpt: 0.017451 acc_pose: 0.642740 loss: 0.017451 2022/09/19 20:06:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:06:20 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:06:42 - mmengine - INFO - Epoch(train) [59][50/293] lr: 5.000000e-04 eta: 5:25:37 time: 0.508483 data_time: 0.082671 memory: 13365 loss_kpt: 0.017117 acc_pose: 0.671714 loss: 0.017117 2022/09/19 20:07:08 - mmengine - INFO - Epoch(train) [59][100/293] lr: 5.000000e-04 eta: 5:25:24 time: 0.505545 data_time: 0.081315 memory: 13365 loss_kpt: 0.017578 acc_pose: 0.619967 loss: 0.017578 2022/09/19 20:07:32 - mmengine - INFO - Epoch(train) [59][150/293] lr: 5.000000e-04 eta: 5:25:10 time: 0.498700 data_time: 0.074745 memory: 13365 loss_kpt: 0.017501 acc_pose: 0.585159 loss: 0.017501 2022/09/19 20:07:57 - mmengine - INFO - Epoch(train) [59][200/293] lr: 5.000000e-04 eta: 5:24:54 time: 0.485587 data_time: 0.069578 memory: 13365 loss_kpt: 0.017290 acc_pose: 0.635731 loss: 0.017290 2022/09/19 20:08:22 - mmengine - INFO - Epoch(train) [59][250/293] lr: 5.000000e-04 eta: 5:24:39 time: 0.497741 data_time: 0.073001 memory: 13365 loss_kpt: 0.017385 acc_pose: 0.597686 loss: 0.017385 2022/09/19 20:08:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:09:08 - mmengine - INFO - Epoch(train) [60][50/293] lr: 5.000000e-04 eta: 5:23:18 time: 0.502142 data_time: 0.083598 memory: 13365 loss_kpt: 0.017523 acc_pose: 0.633278 loss: 0.017523 2022/09/19 20:09:34 - mmengine - INFO - Epoch(train) [60][100/293] lr: 5.000000e-04 eta: 5:23:05 time: 0.509972 data_time: 0.086183 memory: 13365 loss_kpt: 0.017390 acc_pose: 0.694654 loss: 0.017390 2022/09/19 20:09:58 - mmengine - INFO - Epoch(train) [60][150/293] lr: 5.000000e-04 eta: 5:22:48 time: 0.478131 data_time: 0.072956 memory: 13365 loss_kpt: 0.017249 acc_pose: 0.657894 loss: 0.017249 2022/09/19 20:10:23 - mmengine - INFO - Epoch(train) [60][200/293] lr: 5.000000e-04 eta: 5:22:34 time: 0.501504 data_time: 0.070392 memory: 13365 loss_kpt: 0.017122 acc_pose: 0.673725 loss: 0.017122 2022/09/19 20:10:47 - mmengine - INFO - Epoch(train) [60][250/293] lr: 5.000000e-04 eta: 5:22:18 time: 0.489414 data_time: 0.070659 memory: 13365 loss_kpt: 0.017311 acc_pose: 0.657986 loss: 0.017311 2022/09/19 20:11:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:11:08 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/09/19 20:11:20 - mmengine - INFO - Epoch(val) [60][50/407] eta: 0:00:53 time: 0.150863 data_time: 0.017149 memory: 13365 2022/09/19 20:11:28 - mmengine - INFO - Epoch(val) [60][100/407] eta: 0:00:45 time: 0.148553 data_time: 0.013677 memory: 2189 2022/09/19 20:11:35 - mmengine - INFO - Epoch(val) [60][150/407] eta: 0:00:37 time: 0.145436 data_time: 0.010956 memory: 2189 2022/09/19 20:11:42 - mmengine - INFO - Epoch(val) [60][200/407] eta: 0:00:30 time: 0.145078 data_time: 0.011599 memory: 2189 2022/09/19 20:11:50 - mmengine - INFO - Epoch(val) [60][250/407] eta: 0:00:23 time: 0.148090 data_time: 0.010805 memory: 2189 2022/09/19 20:11:57 - mmengine - INFO - Epoch(val) [60][300/407] eta: 0:00:15 time: 0.144875 data_time: 0.011235 memory: 2189 2022/09/19 20:12:04 - mmengine - INFO - Epoch(val) [60][350/407] eta: 0:00:08 time: 0.145600 data_time: 0.011742 memory: 2189 2022/09/19 20:12:11 - mmengine - INFO - Epoch(val) [60][400/407] eta: 0:00:00 time: 0.142583 data_time: 0.011446 memory: 2189 2022/09/19 20:12:43 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 20:12:56 - mmengine - INFO - Epoch(val) [60][407/407] coco/AP: 0.566106 coco/AP .5: 0.831023 coco/AP .75: 0.632108 coco/AP (M): 0.542101 coco/AP (L): 0.620563 coco/AR: 0.630494 coco/AR .5: 0.879251 coco/AR .75: 0.699150 coco/AR (M): 0.592325 coco/AR (L): 0.684764 2022/09/19 20:12:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_50.pth is removed 2022/09/19 20:12:59 - mmengine - INFO - The best checkpoint with 0.5661 coco/AP at 60 epoch is saved to best_coco/AP_epoch_60.pth. 2022/09/19 20:13:24 - mmengine - INFO - Epoch(train) [61][50/293] lr: 5.000000e-04 eta: 5:20:59 time: 0.508711 data_time: 0.086597 memory: 13365 loss_kpt: 0.017579 acc_pose: 0.677253 loss: 0.017579 2022/09/19 20:13:49 - mmengine - INFO - Epoch(train) [61][100/293] lr: 5.000000e-04 eta: 5:20:45 time: 0.504778 data_time: 0.077637 memory: 13365 loss_kpt: 0.017275 acc_pose: 0.658094 loss: 0.017275 2022/09/19 20:14:14 - mmengine - INFO - Epoch(train) [61][150/293] lr: 5.000000e-04 eta: 5:20:31 time: 0.498656 data_time: 0.070809 memory: 13365 loss_kpt: 0.017415 acc_pose: 0.626832 loss: 0.017415 2022/09/19 20:14:39 - mmengine - INFO - Epoch(train) [61][200/293] lr: 5.000000e-04 eta: 5:20:16 time: 0.498591 data_time: 0.077455 memory: 13365 loss_kpt: 0.017705 acc_pose: 0.622435 loss: 0.017705 2022/09/19 20:15:03 - mmengine - INFO - Epoch(train) [61][250/293] lr: 5.000000e-04 eta: 5:20:00 time: 0.486527 data_time: 0.072964 memory: 13365 loss_kpt: 0.017314 acc_pose: 0.654773 loss: 0.017314 2022/09/19 20:15:25 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:15:51 - mmengine - INFO - Epoch(train) [62][50/293] lr: 5.000000e-04 eta: 5:18:43 time: 0.522752 data_time: 0.080718 memory: 13365 loss_kpt: 0.017068 acc_pose: 0.656319 loss: 0.017068 2022/09/19 20:16:17 - mmengine - INFO - Epoch(train) [62][100/293] lr: 5.000000e-04 eta: 5:18:31 time: 0.520444 data_time: 0.078816 memory: 13365 loss_kpt: 0.017224 acc_pose: 0.589226 loss: 0.017224 2022/09/19 20:16:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:16:42 - mmengine - INFO - Epoch(train) [62][150/293] lr: 5.000000e-04 eta: 5:18:16 time: 0.499500 data_time: 0.075482 memory: 13365 loss_kpt: 0.017518 acc_pose: 0.617526 loss: 0.017518 2022/09/19 20:17:06 - mmengine - INFO - Epoch(train) [62][200/293] lr: 5.000000e-04 eta: 5:18:01 time: 0.489100 data_time: 0.075621 memory: 13365 loss_kpt: 0.017334 acc_pose: 0.643077 loss: 0.017334 2022/09/19 20:17:30 - mmengine - INFO - Epoch(train) [62][250/293] lr: 5.000000e-04 eta: 5:17:44 time: 0.484208 data_time: 0.077151 memory: 13365 loss_kpt: 0.017318 acc_pose: 0.639810 loss: 0.017318 2022/09/19 20:17:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:18:17 - mmengine - INFO - Epoch(train) [63][50/293] lr: 5.000000e-04 eta: 5:16:26 time: 0.506998 data_time: 0.096469 memory: 13365 loss_kpt: 0.017168 acc_pose: 0.600519 loss: 0.017168 2022/09/19 20:18:42 - mmengine - INFO - Epoch(train) [63][100/293] lr: 5.000000e-04 eta: 5:16:12 time: 0.499091 data_time: 0.074257 memory: 13365 loss_kpt: 0.017216 acc_pose: 0.550034 loss: 0.017216 2022/09/19 20:19:06 - mmengine - INFO - Epoch(train) [63][150/293] lr: 5.000000e-04 eta: 5:15:56 time: 0.493095 data_time: 0.070797 memory: 13365 loss_kpt: 0.017316 acc_pose: 0.584395 loss: 0.017316 2022/09/19 20:19:31 - mmengine - INFO - Epoch(train) [63][200/293] lr: 5.000000e-04 eta: 5:15:41 time: 0.494251 data_time: 0.069836 memory: 13365 loss_kpt: 0.017465 acc_pose: 0.666577 loss: 0.017465 2022/09/19 20:19:56 - mmengine - INFO - Epoch(train) [63][250/293] lr: 5.000000e-04 eta: 5:15:27 time: 0.507099 data_time: 0.075577 memory: 13365 loss_kpt: 0.017161 acc_pose: 0.662634 loss: 0.017161 2022/09/19 20:20:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:20:43 - mmengine - INFO - Epoch(train) [64][50/293] lr: 5.000000e-04 eta: 5:14:10 time: 0.511983 data_time: 0.083208 memory: 13365 loss_kpt: 0.017489 acc_pose: 0.675470 loss: 0.017489 2022/09/19 20:21:08 - mmengine - INFO - Epoch(train) [64][100/293] lr: 5.000000e-04 eta: 5:13:54 time: 0.483166 data_time: 0.071033 memory: 13365 loss_kpt: 0.017508 acc_pose: 0.666946 loss: 0.017508 2022/09/19 20:21:32 - mmengine - INFO - Epoch(train) [64][150/293] lr: 5.000000e-04 eta: 5:13:38 time: 0.492347 data_time: 0.069175 memory: 13365 loss_kpt: 0.017635 acc_pose: 0.627573 loss: 0.017635 2022/09/19 20:21:57 - mmengine - INFO - Epoch(train) [64][200/293] lr: 5.000000e-04 eta: 5:13:23 time: 0.494890 data_time: 0.070332 memory: 13365 loss_kpt: 0.017043 acc_pose: 0.688450 loss: 0.017043 2022/09/19 20:22:22 - mmengine - INFO - Epoch(train) [64][250/293] lr: 5.000000e-04 eta: 5:13:08 time: 0.497656 data_time: 0.075682 memory: 13365 loss_kpt: 0.016971 acc_pose: 0.611448 loss: 0.016971 2022/09/19 20:22:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:23:08 - mmengine - INFO - Epoch(train) [65][50/293] lr: 5.000000e-04 eta: 5:11:52 time: 0.509233 data_time: 0.080143 memory: 13365 loss_kpt: 0.017436 acc_pose: 0.651583 loss: 0.017436 2022/09/19 20:23:33 - mmengine - INFO - Epoch(train) [65][100/293] lr: 5.000000e-04 eta: 5:11:37 time: 0.503335 data_time: 0.072839 memory: 13365 loss_kpt: 0.017179 acc_pose: 0.683791 loss: 0.017179 2022/09/19 20:23:58 - mmengine - INFO - Epoch(train) [65][150/293] lr: 5.000000e-04 eta: 5:11:23 time: 0.502284 data_time: 0.071924 memory: 13365 loss_kpt: 0.017187 acc_pose: 0.639558 loss: 0.017187 2022/09/19 20:24:24 - mmengine - INFO - Epoch(train) [65][200/293] lr: 5.000000e-04 eta: 5:11:08 time: 0.505044 data_time: 0.079763 memory: 13365 loss_kpt: 0.017184 acc_pose: 0.625373 loss: 0.017184 2022/09/19 20:24:48 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:24:48 - mmengine - INFO - Epoch(train) [65][250/293] lr: 5.000000e-04 eta: 5:10:53 time: 0.496920 data_time: 0.075694 memory: 13365 loss_kpt: 0.016794 acc_pose: 0.578899 loss: 0.016794 2022/09/19 20:25:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:25:35 - mmengine - INFO - Epoch(train) [66][50/293] lr: 5.000000e-04 eta: 5:09:38 time: 0.511158 data_time: 0.085910 memory: 13365 loss_kpt: 0.016751 acc_pose: 0.669731 loss: 0.016751 2022/09/19 20:26:00 - mmengine - INFO - Epoch(train) [66][100/293] lr: 5.000000e-04 eta: 5:09:24 time: 0.506777 data_time: 0.072487 memory: 13365 loss_kpt: 0.017311 acc_pose: 0.732006 loss: 0.017311 2022/09/19 20:26:25 - mmengine - INFO - Epoch(train) [66][150/293] lr: 5.000000e-04 eta: 5:09:09 time: 0.503648 data_time: 0.081075 memory: 13365 loss_kpt: 0.016982 acc_pose: 0.625508 loss: 0.016982 2022/09/19 20:26:50 - mmengine - INFO - Epoch(train) [66][200/293] lr: 5.000000e-04 eta: 5:08:53 time: 0.490996 data_time: 0.071325 memory: 13365 loss_kpt: 0.017449 acc_pose: 0.608487 loss: 0.017449 2022/09/19 20:27:14 - mmengine - INFO - Epoch(train) [66][250/293] lr: 5.000000e-04 eta: 5:08:37 time: 0.493741 data_time: 0.073042 memory: 13365 loss_kpt: 0.016991 acc_pose: 0.668878 loss: 0.016991 2022/09/19 20:27:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:28:01 - mmengine - INFO - Epoch(train) [67][50/293] lr: 5.000000e-04 eta: 5:07:24 time: 0.514565 data_time: 0.086206 memory: 13365 loss_kpt: 0.017113 acc_pose: 0.577232 loss: 0.017113 2022/09/19 20:28:26 - mmengine - INFO - Epoch(train) [67][100/293] lr: 5.000000e-04 eta: 5:07:09 time: 0.499132 data_time: 0.073450 memory: 13365 loss_kpt: 0.017167 acc_pose: 0.631398 loss: 0.017167 2022/09/19 20:28:51 - mmengine - INFO - Epoch(train) [67][150/293] lr: 5.000000e-04 eta: 5:06:53 time: 0.500258 data_time: 0.079234 memory: 13365 loss_kpt: 0.017440 acc_pose: 0.672951 loss: 0.017440 2022/09/19 20:29:16 - mmengine - INFO - Epoch(train) [67][200/293] lr: 5.000000e-04 eta: 5:06:38 time: 0.495295 data_time: 0.081044 memory: 13365 loss_kpt: 0.016837 acc_pose: 0.614769 loss: 0.016837 2022/09/19 20:29:41 - mmengine - INFO - Epoch(train) [67][250/293] lr: 5.000000e-04 eta: 5:06:22 time: 0.498285 data_time: 0.072973 memory: 13365 loss_kpt: 0.016924 acc_pose: 0.625700 loss: 0.016924 2022/09/19 20:30:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:30:28 - mmengine - INFO - Epoch(train) [68][50/293] lr: 5.000000e-04 eta: 5:05:09 time: 0.512667 data_time: 0.081209 memory: 13365 loss_kpt: 0.017047 acc_pose: 0.664147 loss: 0.017047 2022/09/19 20:30:53 - mmengine - INFO - Epoch(train) [68][100/293] lr: 5.000000e-04 eta: 5:04:54 time: 0.502892 data_time: 0.073944 memory: 13365 loss_kpt: 0.016919 acc_pose: 0.617309 loss: 0.016919 2022/09/19 20:31:17 - mmengine - INFO - Epoch(train) [68][150/293] lr: 5.000000e-04 eta: 5:04:38 time: 0.486489 data_time: 0.069746 memory: 13365 loss_kpt: 0.017146 acc_pose: 0.642941 loss: 0.017146 2022/09/19 20:31:42 - mmengine - INFO - Epoch(train) [68][200/293] lr: 5.000000e-04 eta: 5:04:22 time: 0.494537 data_time: 0.081304 memory: 13365 loss_kpt: 0.016938 acc_pose: 0.640147 loss: 0.016938 2022/09/19 20:32:07 - mmengine - INFO - Epoch(train) [68][250/293] lr: 5.000000e-04 eta: 5:04:06 time: 0.500456 data_time: 0.077399 memory: 13365 loss_kpt: 0.017030 acc_pose: 0.648952 loss: 0.017030 2022/09/19 20:32:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:32:54 - mmengine - INFO - Epoch(train) [69][50/293] lr: 5.000000e-04 eta: 5:02:54 time: 0.510010 data_time: 0.089290 memory: 13365 loss_kpt: 0.016784 acc_pose: 0.598919 loss: 0.016784 2022/09/19 20:33:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:33:19 - mmengine - INFO - Epoch(train) [69][100/293] lr: 5.000000e-04 eta: 5:02:40 time: 0.511693 data_time: 0.077403 memory: 13365 loss_kpt: 0.017204 acc_pose: 0.612247 loss: 0.017204 2022/09/19 20:33:45 - mmengine - INFO - Epoch(train) [69][150/293] lr: 5.000000e-04 eta: 5:02:25 time: 0.505959 data_time: 0.077422 memory: 13365 loss_kpt: 0.017166 acc_pose: 0.581098 loss: 0.017166 2022/09/19 20:34:09 - mmengine - INFO - Epoch(train) [69][200/293] lr: 5.000000e-04 eta: 5:02:09 time: 0.496213 data_time: 0.072659 memory: 13365 loss_kpt: 0.017091 acc_pose: 0.620320 loss: 0.017091 2022/09/19 20:34:34 - mmengine - INFO - Epoch(train) [69][250/293] lr: 5.000000e-04 eta: 5:01:52 time: 0.484982 data_time: 0.072386 memory: 13365 loss_kpt: 0.016965 acc_pose: 0.661210 loss: 0.016965 2022/09/19 20:34:55 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:35:21 - mmengine - INFO - Epoch(train) [70][50/293] lr: 5.000000e-04 eta: 5:00:40 time: 0.510284 data_time: 0.088385 memory: 13365 loss_kpt: 0.017403 acc_pose: 0.610403 loss: 0.017403 2022/09/19 20:35:46 - mmengine - INFO - Epoch(train) [70][100/293] lr: 5.000000e-04 eta: 5:00:24 time: 0.496334 data_time: 0.079934 memory: 13365 loss_kpt: 0.017157 acc_pose: 0.704137 loss: 0.017157 2022/09/19 20:36:10 - mmengine - INFO - Epoch(train) [70][150/293] lr: 5.000000e-04 eta: 5:00:08 time: 0.493835 data_time: 0.071630 memory: 13365 loss_kpt: 0.017218 acc_pose: 0.677599 loss: 0.017218 2022/09/19 20:36:35 - mmengine - INFO - Epoch(train) [70][200/293] lr: 5.000000e-04 eta: 4:59:52 time: 0.493610 data_time: 0.076612 memory: 13365 loss_kpt: 0.017098 acc_pose: 0.639251 loss: 0.017098 2022/09/19 20:37:01 - mmengine - INFO - Epoch(train) [70][250/293] lr: 5.000000e-04 eta: 4:59:39 time: 0.520688 data_time: 0.077952 memory: 13365 loss_kpt: 0.017058 acc_pose: 0.626898 loss: 0.017058 2022/09/19 20:37:22 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:37:22 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/09/19 20:37:34 - mmengine - INFO - Epoch(val) [70][50/407] eta: 0:00:54 time: 0.153306 data_time: 0.019487 memory: 13365 2022/09/19 20:37:41 - mmengine - INFO - Epoch(val) [70][100/407] eta: 0:00:45 time: 0.148125 data_time: 0.013658 memory: 2189 2022/09/19 20:37:49 - mmengine - INFO - Epoch(val) [70][150/407] eta: 0:00:37 time: 0.144450 data_time: 0.011572 memory: 2189 2022/09/19 20:37:56 - mmengine - INFO - Epoch(val) [70][200/407] eta: 0:00:30 time: 0.145872 data_time: 0.012160 memory: 2189 2022/09/19 20:38:03 - mmengine - INFO - Epoch(val) [70][250/407] eta: 0:00:23 time: 0.146926 data_time: 0.011717 memory: 2189 2022/09/19 20:38:11 - mmengine - INFO - Epoch(val) [70][300/407] eta: 0:00:15 time: 0.148460 data_time: 0.010887 memory: 2189 2022/09/19 20:38:18 - mmengine - INFO - Epoch(val) [70][350/407] eta: 0:00:08 time: 0.144040 data_time: 0.010876 memory: 2189 2022/09/19 20:38:25 - mmengine - INFO - Epoch(val) [70][400/407] eta: 0:00:01 time: 0.143164 data_time: 0.009554 memory: 2189 2022/09/19 20:38:57 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 20:39:10 - mmengine - INFO - Epoch(val) [70][407/407] coco/AP: 0.568100 coco/AP .5: 0.834227 coco/AP .75: 0.637171 coco/AP (M): 0.542266 coco/AP (L): 0.623097 coco/AR: 0.632730 coco/AR .5: 0.880195 coco/AR .75: 0.701669 coco/AR (M): 0.595165 coco/AR (L): 0.685953 2022/09/19 20:39:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_60.pth is removed 2022/09/19 20:39:13 - mmengine - INFO - The best checkpoint with 0.5681 coco/AP at 70 epoch is saved to best_coco/AP_epoch_70.pth. 2022/09/19 20:39:38 - mmengine - INFO - Epoch(train) [71][50/293] lr: 5.000000e-04 eta: 4:58:27 time: 0.503922 data_time: 0.080630 memory: 13365 loss_kpt: 0.016908 acc_pose: 0.684506 loss: 0.016908 2022/09/19 20:40:03 - mmengine - INFO - Epoch(train) [71][100/293] lr: 5.000000e-04 eta: 4:58:11 time: 0.492876 data_time: 0.075368 memory: 13365 loss_kpt: 0.017149 acc_pose: 0.659165 loss: 0.017149 2022/09/19 20:40:28 - mmengine - INFO - Epoch(train) [71][150/293] lr: 5.000000e-04 eta: 4:57:54 time: 0.494005 data_time: 0.075903 memory: 13365 loss_kpt: 0.017123 acc_pose: 0.676966 loss: 0.017123 2022/09/19 20:40:53 - mmengine - INFO - Epoch(train) [71][200/293] lr: 5.000000e-04 eta: 4:57:40 time: 0.516406 data_time: 0.075161 memory: 13365 loss_kpt: 0.016854 acc_pose: 0.618487 loss: 0.016854 2022/09/19 20:41:19 - mmengine - INFO - Epoch(train) [71][250/293] lr: 5.000000e-04 eta: 4:57:25 time: 0.504129 data_time: 0.074735 memory: 13365 loss_kpt: 0.017126 acc_pose: 0.599005 loss: 0.017126 2022/09/19 20:41:40 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:42:06 - mmengine - INFO - Epoch(train) [72][50/293] lr: 5.000000e-04 eta: 4:56:15 time: 0.517987 data_time: 0.088458 memory: 13365 loss_kpt: 0.017329 acc_pose: 0.601939 loss: 0.017329 2022/09/19 20:42:30 - mmengine - INFO - Epoch(train) [72][100/293] lr: 5.000000e-04 eta: 4:55:59 time: 0.495635 data_time: 0.069791 memory: 13365 loss_kpt: 0.016723 acc_pose: 0.636329 loss: 0.016723 2022/09/19 20:42:55 - mmengine - INFO - Epoch(train) [72][150/293] lr: 5.000000e-04 eta: 4:55:42 time: 0.487786 data_time: 0.070909 memory: 13365 loss_kpt: 0.017235 acc_pose: 0.627992 loss: 0.017235 2022/09/19 20:43:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:43:20 - mmengine - INFO - Epoch(train) [72][200/293] lr: 5.000000e-04 eta: 4:55:26 time: 0.497456 data_time: 0.081093 memory: 13365 loss_kpt: 0.016596 acc_pose: 0.613257 loss: 0.016596 2022/09/19 20:43:45 - mmengine - INFO - Epoch(train) [72][250/293] lr: 5.000000e-04 eta: 4:55:10 time: 0.496263 data_time: 0.078017 memory: 13365 loss_kpt: 0.017075 acc_pose: 0.657047 loss: 0.017075 2022/09/19 20:44:05 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:44:31 - mmengine - INFO - Epoch(train) [73][50/293] lr: 5.000000e-04 eta: 4:54:00 time: 0.505525 data_time: 0.085713 memory: 13365 loss_kpt: 0.016994 acc_pose: 0.664200 loss: 0.016994 2022/09/19 20:44:55 - mmengine - INFO - Epoch(train) [73][100/293] lr: 5.000000e-04 eta: 4:53:43 time: 0.494464 data_time: 0.070280 memory: 13365 loss_kpt: 0.016549 acc_pose: 0.653022 loss: 0.016549 2022/09/19 20:45:21 - mmengine - INFO - Epoch(train) [73][150/293] lr: 5.000000e-04 eta: 4:53:28 time: 0.503936 data_time: 0.075672 memory: 13365 loss_kpt: 0.016713 acc_pose: 0.640840 loss: 0.016713 2022/09/19 20:45:45 - mmengine - INFO - Epoch(train) [73][200/293] lr: 5.000000e-04 eta: 4:53:11 time: 0.485239 data_time: 0.073944 memory: 13365 loss_kpt: 0.016921 acc_pose: 0.661294 loss: 0.016921 2022/09/19 20:46:10 - mmengine - INFO - Epoch(train) [73][250/293] lr: 5.000000e-04 eta: 4:52:55 time: 0.500646 data_time: 0.083703 memory: 13365 loss_kpt: 0.017056 acc_pose: 0.622125 loss: 0.017056 2022/09/19 20:46:31 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:46:56 - mmengine - INFO - Epoch(train) [74][50/293] lr: 5.000000e-04 eta: 4:51:46 time: 0.512245 data_time: 0.089325 memory: 13365 loss_kpt: 0.016653 acc_pose: 0.663053 loss: 0.016653 2022/09/19 20:47:21 - mmengine - INFO - Epoch(train) [74][100/293] lr: 5.000000e-04 eta: 4:51:30 time: 0.497885 data_time: 0.069754 memory: 13365 loss_kpt: 0.017297 acc_pose: 0.647941 loss: 0.017297 2022/09/19 20:47:46 - mmengine - INFO - Epoch(train) [74][150/293] lr: 5.000000e-04 eta: 4:51:13 time: 0.494749 data_time: 0.071012 memory: 13365 loss_kpt: 0.017168 acc_pose: 0.698243 loss: 0.017168 2022/09/19 20:48:11 - mmengine - INFO - Epoch(train) [74][200/293] lr: 5.000000e-04 eta: 4:50:58 time: 0.506276 data_time: 0.082944 memory: 13365 loss_kpt: 0.016966 acc_pose: 0.670429 loss: 0.016966 2022/09/19 20:48:37 - mmengine - INFO - Epoch(train) [74][250/293] lr: 5.000000e-04 eta: 4:50:42 time: 0.504378 data_time: 0.081508 memory: 13365 loss_kpt: 0.017081 acc_pose: 0.640071 loss: 0.017081 2022/09/19 20:48:58 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:49:24 - mmengine - INFO - Epoch(train) [75][50/293] lr: 5.000000e-04 eta: 4:49:35 time: 0.523049 data_time: 0.086764 memory: 13365 loss_kpt: 0.017168 acc_pose: 0.645019 loss: 0.017168 2022/09/19 20:49:50 - mmengine - INFO - Epoch(train) [75][100/293] lr: 5.000000e-04 eta: 4:49:20 time: 0.515409 data_time: 0.072289 memory: 13365 loss_kpt: 0.017138 acc_pose: 0.629613 loss: 0.017138 2022/09/19 20:50:15 - mmengine - INFO - Epoch(train) [75][150/293] lr: 5.000000e-04 eta: 4:49:04 time: 0.496707 data_time: 0.071633 memory: 13365 loss_kpt: 0.016761 acc_pose: 0.612832 loss: 0.016761 2022/09/19 20:50:40 - mmengine - INFO - Epoch(train) [75][200/293] lr: 5.000000e-04 eta: 4:48:48 time: 0.502382 data_time: 0.085407 memory: 13365 loss_kpt: 0.016815 acc_pose: 0.616581 loss: 0.016815 2022/09/19 20:51:05 - mmengine - INFO - Epoch(train) [75][250/293] lr: 5.000000e-04 eta: 4:48:32 time: 0.498024 data_time: 0.070260 memory: 13365 loss_kpt: 0.017041 acc_pose: 0.582516 loss: 0.017041 2022/09/19 20:51:26 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:51:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:51:51 - mmengine - INFO - Epoch(train) [76][50/293] lr: 5.000000e-04 eta: 4:47:24 time: 0.511894 data_time: 0.090152 memory: 13365 loss_kpt: 0.016794 acc_pose: 0.643369 loss: 0.016794 2022/09/19 20:52:16 - mmengine - INFO - Epoch(train) [76][100/293] lr: 5.000000e-04 eta: 4:47:07 time: 0.491249 data_time: 0.073984 memory: 13365 loss_kpt: 0.016852 acc_pose: 0.619610 loss: 0.016852 2022/09/19 20:52:41 - mmengine - INFO - Epoch(train) [76][150/293] lr: 5.000000e-04 eta: 4:46:51 time: 0.499155 data_time: 0.076227 memory: 13365 loss_kpt: 0.016862 acc_pose: 0.599095 loss: 0.016862 2022/09/19 20:53:06 - mmengine - INFO - Epoch(train) [76][200/293] lr: 5.000000e-04 eta: 4:46:35 time: 0.504360 data_time: 0.081050 memory: 13365 loss_kpt: 0.016995 acc_pose: 0.609367 loss: 0.016995 2022/09/19 20:53:31 - mmengine - INFO - Epoch(train) [76][250/293] lr: 5.000000e-04 eta: 4:46:18 time: 0.488066 data_time: 0.073649 memory: 13365 loss_kpt: 0.016531 acc_pose: 0.646753 loss: 0.016531 2022/09/19 20:53:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:54:18 - mmengine - INFO - Epoch(train) [77][50/293] lr: 5.000000e-04 eta: 4:45:11 time: 0.522263 data_time: 0.090807 memory: 13365 loss_kpt: 0.016723 acc_pose: 0.611916 loss: 0.016723 2022/09/19 20:54:42 - mmengine - INFO - Epoch(train) [77][100/293] lr: 5.000000e-04 eta: 4:44:54 time: 0.489372 data_time: 0.075309 memory: 13365 loss_kpt: 0.017199 acc_pose: 0.628596 loss: 0.017199 2022/09/19 20:55:06 - mmengine - INFO - Epoch(train) [77][150/293] lr: 5.000000e-04 eta: 4:44:37 time: 0.484404 data_time: 0.070972 memory: 13365 loss_kpt: 0.017084 acc_pose: 0.565902 loss: 0.017084 2022/09/19 20:55:31 - mmengine - INFO - Epoch(train) [77][200/293] lr: 5.000000e-04 eta: 4:44:20 time: 0.501571 data_time: 0.076521 memory: 13365 loss_kpt: 0.016795 acc_pose: 0.612424 loss: 0.016795 2022/09/19 20:55:56 - mmengine - INFO - Epoch(train) [77][250/293] lr: 5.000000e-04 eta: 4:44:04 time: 0.499092 data_time: 0.075155 memory: 13365 loss_kpt: 0.016932 acc_pose: 0.686416 loss: 0.016932 2022/09/19 20:56:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:56:43 - mmengine - INFO - Epoch(train) [78][50/293] lr: 5.000000e-04 eta: 4:42:58 time: 0.514652 data_time: 0.082586 memory: 13365 loss_kpt: 0.016713 acc_pose: 0.691928 loss: 0.016713 2022/09/19 20:57:08 - mmengine - INFO - Epoch(train) [78][100/293] lr: 5.000000e-04 eta: 4:42:41 time: 0.493514 data_time: 0.078353 memory: 13365 loss_kpt: 0.016838 acc_pose: 0.702474 loss: 0.016838 2022/09/19 20:57:34 - mmengine - INFO - Epoch(train) [78][150/293] lr: 5.000000e-04 eta: 4:42:26 time: 0.517812 data_time: 0.075537 memory: 13365 loss_kpt: 0.016875 acc_pose: 0.635949 loss: 0.016875 2022/09/19 20:57:59 - mmengine - INFO - Epoch(train) [78][200/293] lr: 5.000000e-04 eta: 4:42:09 time: 0.493427 data_time: 0.073131 memory: 13365 loss_kpt: 0.016881 acc_pose: 0.554996 loss: 0.016881 2022/09/19 20:58:23 - mmengine - INFO - Epoch(train) [78][250/293] lr: 5.000000e-04 eta: 4:41:52 time: 0.494382 data_time: 0.079958 memory: 13365 loss_kpt: 0.016560 acc_pose: 0.640025 loss: 0.016560 2022/09/19 20:58:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 20:59:10 - mmengine - INFO - Epoch(train) [79][50/293] lr: 5.000000e-04 eta: 4:40:45 time: 0.500975 data_time: 0.084125 memory: 13365 loss_kpt: 0.016871 acc_pose: 0.634417 loss: 0.016871 2022/09/19 20:59:35 - mmengine - INFO - Epoch(train) [79][100/293] lr: 5.000000e-04 eta: 4:40:29 time: 0.505207 data_time: 0.076151 memory: 13365 loss_kpt: 0.016641 acc_pose: 0.650845 loss: 0.016641 2022/09/19 20:59:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:00:00 - mmengine - INFO - Epoch(train) [79][150/293] lr: 5.000000e-04 eta: 4:40:13 time: 0.498304 data_time: 0.079695 memory: 13365 loss_kpt: 0.016816 acc_pose: 0.697678 loss: 0.016816 2022/09/19 21:00:25 - mmengine - INFO - Epoch(train) [79][200/293] lr: 5.000000e-04 eta: 4:39:56 time: 0.500406 data_time: 0.076037 memory: 13365 loss_kpt: 0.016941 acc_pose: 0.611382 loss: 0.016941 2022/09/19 21:00:50 - mmengine - INFO - Epoch(train) [79][250/293] lr: 5.000000e-04 eta: 4:39:40 time: 0.509040 data_time: 0.075411 memory: 13365 loss_kpt: 0.016850 acc_pose: 0.573284 loss: 0.016850 2022/09/19 21:01:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:01:37 - mmengine - INFO - Epoch(train) [80][50/293] lr: 5.000000e-04 eta: 4:38:35 time: 0.513071 data_time: 0.086362 memory: 13365 loss_kpt: 0.016993 acc_pose: 0.657619 loss: 0.016993 2022/09/19 21:02:02 - mmengine - INFO - Epoch(train) [80][100/293] lr: 5.000000e-04 eta: 4:38:18 time: 0.498746 data_time: 0.070443 memory: 13365 loss_kpt: 0.016877 acc_pose: 0.689802 loss: 0.016877 2022/09/19 21:02:27 - mmengine - INFO - Epoch(train) [80][150/293] lr: 5.000000e-04 eta: 4:38:02 time: 0.502430 data_time: 0.074462 memory: 13365 loss_kpt: 0.016739 acc_pose: 0.664523 loss: 0.016739 2022/09/19 21:02:53 - mmengine - INFO - Epoch(train) [80][200/293] lr: 5.000000e-04 eta: 4:37:46 time: 0.510236 data_time: 0.079917 memory: 13365 loss_kpt: 0.016783 acc_pose: 0.585600 loss: 0.016783 2022/09/19 21:03:18 - mmengine - INFO - Epoch(train) [80][250/293] lr: 5.000000e-04 eta: 4:37:30 time: 0.500210 data_time: 0.076584 memory: 13365 loss_kpt: 0.016853 acc_pose: 0.649557 loss: 0.016853 2022/09/19 21:03:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:03:39 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/09/19 21:03:52 - mmengine - INFO - Epoch(val) [80][50/407] eta: 0:00:55 time: 0.155669 data_time: 0.021082 memory: 13365 2022/09/19 21:03:59 - mmengine - INFO - Epoch(val) [80][100/407] eta: 0:00:44 time: 0.145435 data_time: 0.011594 memory: 2189 2022/09/19 21:04:06 - mmengine - INFO - Epoch(val) [80][150/407] eta: 0:00:36 time: 0.142483 data_time: 0.010345 memory: 2189 2022/09/19 21:04:13 - mmengine - INFO - Epoch(val) [80][200/407] eta: 0:00:30 time: 0.146664 data_time: 0.012449 memory: 2189 2022/09/19 21:04:21 - mmengine - INFO - Epoch(val) [80][250/407] eta: 0:00:23 time: 0.146785 data_time: 0.012202 memory: 2189 2022/09/19 21:04:28 - mmengine - INFO - Epoch(val) [80][300/407] eta: 0:00:15 time: 0.142950 data_time: 0.010754 memory: 2189 2022/09/19 21:04:36 - mmengine - INFO - Epoch(val) [80][350/407] eta: 0:00:08 time: 0.151426 data_time: 0.011227 memory: 2189 2022/09/19 21:04:43 - mmengine - INFO - Epoch(val) [80][400/407] eta: 0:00:00 time: 0.142229 data_time: 0.008853 memory: 2189 2022/09/19 21:05:15 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 21:05:28 - mmengine - INFO - Epoch(val) [80][407/407] coco/AP: 0.579161 coco/AP .5: 0.835145 coco/AP .75: 0.650737 coco/AP (M): 0.551297 coco/AP (L): 0.635918 coco/AR: 0.641215 coco/AR .5: 0.880825 coco/AR .75: 0.711115 coco/AR (M): 0.602677 coco/AR (L): 0.695689 2022/09/19 21:05:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_70.pth is removed 2022/09/19 21:05:30 - mmengine - INFO - The best checkpoint with 0.5792 coco/AP at 80 epoch is saved to best_coco/AP_epoch_80.pth. 2022/09/19 21:05:56 - mmengine - INFO - Epoch(train) [81][50/293] lr: 5.000000e-04 eta: 4:36:24 time: 0.509473 data_time: 0.092025 memory: 13365 loss_kpt: 0.016778 acc_pose: 0.632746 loss: 0.016778 2022/09/19 21:06:21 - mmengine - INFO - Epoch(train) [81][100/293] lr: 5.000000e-04 eta: 4:36:09 time: 0.514321 data_time: 0.075952 memory: 13365 loss_kpt: 0.016973 acc_pose: 0.620929 loss: 0.016973 2022/09/19 21:06:46 - mmengine - INFO - Epoch(train) [81][150/293] lr: 5.000000e-04 eta: 4:35:52 time: 0.491670 data_time: 0.071432 memory: 13365 loss_kpt: 0.016973 acc_pose: 0.700057 loss: 0.016973 2022/09/19 21:07:11 - mmengine - INFO - Epoch(train) [81][200/293] lr: 5.000000e-04 eta: 4:35:35 time: 0.506299 data_time: 0.077328 memory: 13365 loss_kpt: 0.016728 acc_pose: 0.586108 loss: 0.016728 2022/09/19 21:07:36 - mmengine - INFO - Epoch(train) [81][250/293] lr: 5.000000e-04 eta: 4:35:18 time: 0.486817 data_time: 0.074124 memory: 13365 loss_kpt: 0.017062 acc_pose: 0.585206 loss: 0.017062 2022/09/19 21:07:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:08:22 - mmengine - INFO - Epoch(train) [82][50/293] lr: 5.000000e-04 eta: 4:34:13 time: 0.509464 data_time: 0.088850 memory: 13365 loss_kpt: 0.016636 acc_pose: 0.663229 loss: 0.016636 2022/09/19 21:08:47 - mmengine - INFO - Epoch(train) [82][100/293] lr: 5.000000e-04 eta: 4:33:56 time: 0.498576 data_time: 0.069097 memory: 13365 loss_kpt: 0.016687 acc_pose: 0.653704 loss: 0.016687 2022/09/19 21:09:12 - mmengine - INFO - Epoch(train) [82][150/293] lr: 5.000000e-04 eta: 4:33:38 time: 0.483965 data_time: 0.070114 memory: 13365 loss_kpt: 0.016806 acc_pose: 0.638037 loss: 0.016806 2022/09/19 21:09:36 - mmengine - INFO - Epoch(train) [82][200/293] lr: 5.000000e-04 eta: 4:33:21 time: 0.494094 data_time: 0.074183 memory: 13365 loss_kpt: 0.016857 acc_pose: 0.654903 loss: 0.016857 2022/09/19 21:10:01 - mmengine - INFO - Epoch(train) [82][250/293] lr: 5.000000e-04 eta: 4:33:03 time: 0.491567 data_time: 0.077990 memory: 13365 loss_kpt: 0.016552 acc_pose: 0.664510 loss: 0.016552 2022/09/19 21:10:10 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:10:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:10:48 - mmengine - INFO - Epoch(train) [83][50/293] lr: 5.000000e-04 eta: 4:31:59 time: 0.505269 data_time: 0.083034 memory: 13365 loss_kpt: 0.016555 acc_pose: 0.652785 loss: 0.016555 2022/09/19 21:11:13 - mmengine - INFO - Epoch(train) [83][100/293] lr: 5.000000e-04 eta: 4:31:41 time: 0.490615 data_time: 0.069227 memory: 13365 loss_kpt: 0.016500 acc_pose: 0.656225 loss: 0.016500 2022/09/19 21:11:37 - mmengine - INFO - Epoch(train) [83][150/293] lr: 5.000000e-04 eta: 4:31:23 time: 0.485573 data_time: 0.073267 memory: 13365 loss_kpt: 0.016810 acc_pose: 0.623150 loss: 0.016810 2022/09/19 21:12:02 - mmengine - INFO - Epoch(train) [83][200/293] lr: 5.000000e-04 eta: 4:31:07 time: 0.498884 data_time: 0.076660 memory: 13365 loss_kpt: 0.016743 acc_pose: 0.610032 loss: 0.016743 2022/09/19 21:12:27 - mmengine - INFO - Epoch(train) [83][250/293] lr: 5.000000e-04 eta: 4:30:49 time: 0.491556 data_time: 0.073845 memory: 13365 loss_kpt: 0.016682 acc_pose: 0.614188 loss: 0.016682 2022/09/19 21:12:47 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:13:13 - mmengine - INFO - Epoch(train) [84][50/293] lr: 5.000000e-04 eta: 4:29:46 time: 0.510751 data_time: 0.081404 memory: 13365 loss_kpt: 0.016721 acc_pose: 0.665582 loss: 0.016721 2022/09/19 21:13:38 - mmengine - INFO - Epoch(train) [84][100/293] lr: 5.000000e-04 eta: 4:29:28 time: 0.495163 data_time: 0.075361 memory: 13365 loss_kpt: 0.016784 acc_pose: 0.637310 loss: 0.016784 2022/09/19 21:14:03 - mmengine - INFO - Epoch(train) [84][150/293] lr: 5.000000e-04 eta: 4:29:12 time: 0.505878 data_time: 0.078257 memory: 13365 loss_kpt: 0.016739 acc_pose: 0.645559 loss: 0.016739 2022/09/19 21:14:28 - mmengine - INFO - Epoch(train) [84][200/293] lr: 5.000000e-04 eta: 4:28:55 time: 0.501269 data_time: 0.074977 memory: 13365 loss_kpt: 0.016520 acc_pose: 0.682013 loss: 0.016520 2022/09/19 21:14:53 - mmengine - INFO - Epoch(train) [84][250/293] lr: 5.000000e-04 eta: 4:28:38 time: 0.497070 data_time: 0.070304 memory: 13365 loss_kpt: 0.016436 acc_pose: 0.636325 loss: 0.016436 2022/09/19 21:15:14 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:15:39 - mmengine - INFO - Epoch(train) [85][50/293] lr: 5.000000e-04 eta: 4:27:34 time: 0.501479 data_time: 0.084421 memory: 13365 loss_kpt: 0.016160 acc_pose: 0.598648 loss: 0.016160 2022/09/19 21:16:05 - mmengine - INFO - Epoch(train) [85][100/293] lr: 5.000000e-04 eta: 4:27:18 time: 0.515020 data_time: 0.077729 memory: 13365 loss_kpt: 0.017058 acc_pose: 0.680258 loss: 0.017058 2022/09/19 21:16:30 - mmengine - INFO - Epoch(train) [85][150/293] lr: 5.000000e-04 eta: 4:27:01 time: 0.495714 data_time: 0.072334 memory: 13365 loss_kpt: 0.016341 acc_pose: 0.693302 loss: 0.016341 2022/09/19 21:16:54 - mmengine - INFO - Epoch(train) [85][200/293] lr: 5.000000e-04 eta: 4:26:44 time: 0.496743 data_time: 0.075769 memory: 13365 loss_kpt: 0.016493 acc_pose: 0.674043 loss: 0.016493 2022/09/19 21:17:19 - mmengine - INFO - Epoch(train) [85][250/293] lr: 5.000000e-04 eta: 4:26:27 time: 0.500393 data_time: 0.069775 memory: 13365 loss_kpt: 0.016672 acc_pose: 0.636606 loss: 0.016672 2022/09/19 21:17:41 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:18:06 - mmengine - INFO - Epoch(train) [86][50/293] lr: 5.000000e-04 eta: 4:25:23 time: 0.498530 data_time: 0.088215 memory: 13365 loss_kpt: 0.016605 acc_pose: 0.677577 loss: 0.016605 2022/09/19 21:18:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:18:31 - mmengine - INFO - Epoch(train) [86][100/293] lr: 5.000000e-04 eta: 4:25:06 time: 0.500263 data_time: 0.076572 memory: 13365 loss_kpt: 0.016826 acc_pose: 0.605433 loss: 0.016826 2022/09/19 21:18:56 - mmengine - INFO - Epoch(train) [86][150/293] lr: 5.000000e-04 eta: 4:24:50 time: 0.507117 data_time: 0.078731 memory: 13365 loss_kpt: 0.016770 acc_pose: 0.695267 loss: 0.016770 2022/09/19 21:19:20 - mmengine - INFO - Epoch(train) [86][200/293] lr: 5.000000e-04 eta: 4:24:32 time: 0.488581 data_time: 0.073468 memory: 13365 loss_kpt: 0.016484 acc_pose: 0.660636 loss: 0.016484 2022/09/19 21:19:46 - mmengine - INFO - Epoch(train) [86][250/293] lr: 5.000000e-04 eta: 4:24:15 time: 0.508138 data_time: 0.076468 memory: 13365 loss_kpt: 0.016268 acc_pose: 0.621366 loss: 0.016268 2022/09/19 21:20:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:20:31 - mmengine - INFO - Epoch(train) [87][50/293] lr: 5.000000e-04 eta: 4:23:12 time: 0.498365 data_time: 0.082863 memory: 13365 loss_kpt: 0.016330 acc_pose: 0.631606 loss: 0.016330 2022/09/19 21:20:56 - mmengine - INFO - Epoch(train) [87][100/293] lr: 5.000000e-04 eta: 4:22:54 time: 0.486954 data_time: 0.081558 memory: 13365 loss_kpt: 0.016482 acc_pose: 0.657929 loss: 0.016482 2022/09/19 21:21:20 - mmengine - INFO - Epoch(train) [87][150/293] lr: 5.000000e-04 eta: 4:22:36 time: 0.489997 data_time: 0.073889 memory: 13365 loss_kpt: 0.016571 acc_pose: 0.615933 loss: 0.016571 2022/09/19 21:21:45 - mmengine - INFO - Epoch(train) [87][200/293] lr: 5.000000e-04 eta: 4:22:19 time: 0.494346 data_time: 0.080417 memory: 13365 loss_kpt: 0.017065 acc_pose: 0.646516 loss: 0.017065 2022/09/19 21:22:10 - mmengine - INFO - Epoch(train) [87][250/293] lr: 5.000000e-04 eta: 4:22:01 time: 0.499652 data_time: 0.074210 memory: 13365 loss_kpt: 0.016314 acc_pose: 0.654666 loss: 0.016314 2022/09/19 21:22:31 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:22:57 - mmengine - INFO - Epoch(train) [88][50/293] lr: 5.000000e-04 eta: 4:20:59 time: 0.508123 data_time: 0.086589 memory: 13365 loss_kpt: 0.016193 acc_pose: 0.608995 loss: 0.016193 2022/09/19 21:23:21 - mmengine - INFO - Epoch(train) [88][100/293] lr: 5.000000e-04 eta: 4:20:42 time: 0.493597 data_time: 0.073751 memory: 13365 loss_kpt: 0.016801 acc_pose: 0.618858 loss: 0.016801 2022/09/19 21:23:47 - mmengine - INFO - Epoch(train) [88][150/293] lr: 5.000000e-04 eta: 4:20:25 time: 0.502470 data_time: 0.075023 memory: 13365 loss_kpt: 0.016808 acc_pose: 0.658594 loss: 0.016808 2022/09/19 21:24:11 - mmengine - INFO - Epoch(train) [88][200/293] lr: 5.000000e-04 eta: 4:20:07 time: 0.494985 data_time: 0.076343 memory: 13365 loss_kpt: 0.016786 acc_pose: 0.672098 loss: 0.016786 2022/09/19 21:24:37 - mmengine - INFO - Epoch(train) [88][250/293] lr: 5.000000e-04 eta: 4:19:50 time: 0.504764 data_time: 0.077441 memory: 13365 loss_kpt: 0.016611 acc_pose: 0.677325 loss: 0.016611 2022/09/19 21:24:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:25:23 - mmengine - INFO - Epoch(train) [89][50/293] lr: 5.000000e-04 eta: 4:18:50 time: 0.520410 data_time: 0.089203 memory: 13365 loss_kpt: 0.016652 acc_pose: 0.632977 loss: 0.016652 2022/09/19 21:25:48 - mmengine - INFO - Epoch(train) [89][100/293] lr: 5.000000e-04 eta: 4:18:32 time: 0.490661 data_time: 0.068794 memory: 13365 loss_kpt: 0.016423 acc_pose: 0.712721 loss: 0.016423 2022/09/19 21:26:12 - mmengine - INFO - Epoch(train) [89][150/293] lr: 5.000000e-04 eta: 4:18:14 time: 0.490709 data_time: 0.069867 memory: 13365 loss_kpt: 0.016522 acc_pose: 0.635763 loss: 0.016522 2022/09/19 21:26:38 - mmengine - INFO - Epoch(train) [89][200/293] lr: 5.000000e-04 eta: 4:17:57 time: 0.507930 data_time: 0.073878 memory: 13365 loss_kpt: 0.016695 acc_pose: 0.605937 loss: 0.016695 2022/09/19 21:26:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:27:02 - mmengine - INFO - Epoch(train) [89][250/293] lr: 5.000000e-04 eta: 4:17:39 time: 0.491602 data_time: 0.074476 memory: 13365 loss_kpt: 0.016762 acc_pose: 0.660152 loss: 0.016762 2022/09/19 21:27:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:27:50 - mmengine - INFO - Epoch(train) [90][50/293] lr: 5.000000e-04 eta: 4:16:39 time: 0.527999 data_time: 0.095723 memory: 13365 loss_kpt: 0.016596 acc_pose: 0.658999 loss: 0.016596 2022/09/19 21:28:15 - mmengine - INFO - Epoch(train) [90][100/293] lr: 5.000000e-04 eta: 4:16:22 time: 0.494402 data_time: 0.071282 memory: 13365 loss_kpt: 0.016472 acc_pose: 0.637334 loss: 0.016472 2022/09/19 21:28:40 - mmengine - INFO - Epoch(train) [90][150/293] lr: 5.000000e-04 eta: 4:16:05 time: 0.505388 data_time: 0.075368 memory: 13365 loss_kpt: 0.016826 acc_pose: 0.620828 loss: 0.016826 2022/09/19 21:29:05 - mmengine - INFO - Epoch(train) [90][200/293] lr: 5.000000e-04 eta: 4:15:47 time: 0.502253 data_time: 0.070906 memory: 13365 loss_kpt: 0.016277 acc_pose: 0.658179 loss: 0.016277 2022/09/19 21:29:30 - mmengine - INFO - Epoch(train) [90][250/293] lr: 5.000000e-04 eta: 4:15:29 time: 0.487061 data_time: 0.071109 memory: 13365 loss_kpt: 0.016468 acc_pose: 0.622688 loss: 0.016468 2022/09/19 21:29:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:29:51 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/09/19 21:30:04 - mmengine - INFO - Epoch(val) [90][50/407] eta: 0:00:55 time: 0.154230 data_time: 0.019255 memory: 13365 2022/09/19 21:30:11 - mmengine - INFO - Epoch(val) [90][100/407] eta: 0:00:45 time: 0.149259 data_time: 0.013440 memory: 2189 2022/09/19 21:30:18 - mmengine - INFO - Epoch(val) [90][150/407] eta: 0:00:37 time: 0.144943 data_time: 0.011169 memory: 2189 2022/09/19 21:30:26 - mmengine - INFO - Epoch(val) [90][200/407] eta: 0:00:31 time: 0.153447 data_time: 0.016933 memory: 2189 2022/09/19 21:30:33 - mmengine - INFO - Epoch(val) [90][250/407] eta: 0:00:22 time: 0.144275 data_time: 0.011430 memory: 2189 2022/09/19 21:30:41 - mmengine - INFO - Epoch(val) [90][300/407] eta: 0:00:15 time: 0.144727 data_time: 0.011371 memory: 2189 2022/09/19 21:30:48 - mmengine - INFO - Epoch(val) [90][350/407] eta: 0:00:08 time: 0.145669 data_time: 0.011704 memory: 2189 2022/09/19 21:30:55 - mmengine - INFO - Epoch(val) [90][400/407] eta: 0:00:00 time: 0.138318 data_time: 0.008906 memory: 2189 2022/09/19 21:31:27 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 21:31:39 - mmengine - INFO - Epoch(val) [90][407/407] coco/AP: 0.583924 coco/AP .5: 0.840837 coco/AP .75: 0.653383 coco/AP (M): 0.557175 coco/AP (L): 0.643314 coco/AR: 0.648221 coco/AR .5: 0.886807 coco/AR .75: 0.716152 coco/AR (M): 0.609861 coco/AR (L): 0.703047 2022/09/19 21:31:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_80.pth is removed 2022/09/19 21:31:42 - mmengine - INFO - The best checkpoint with 0.5839 coco/AP at 90 epoch is saved to best_coco/AP_epoch_90.pth. 2022/09/19 21:32:08 - mmengine - INFO - Epoch(train) [91][50/293] lr: 5.000000e-04 eta: 4:14:29 time: 0.516303 data_time: 0.086126 memory: 13365 loss_kpt: 0.016120 acc_pose: 0.638396 loss: 0.016120 2022/09/19 21:32:32 - mmengine - INFO - Epoch(train) [91][100/293] lr: 5.000000e-04 eta: 4:14:11 time: 0.485055 data_time: 0.074419 memory: 13365 loss_kpt: 0.016523 acc_pose: 0.666149 loss: 0.016523 2022/09/19 21:32:57 - mmengine - INFO - Epoch(train) [91][150/293] lr: 5.000000e-04 eta: 4:13:53 time: 0.498256 data_time: 0.071535 memory: 13365 loss_kpt: 0.016619 acc_pose: 0.632162 loss: 0.016619 2022/09/19 21:33:22 - mmengine - INFO - Epoch(train) [91][200/293] lr: 5.000000e-04 eta: 4:13:35 time: 0.494016 data_time: 0.068542 memory: 13365 loss_kpt: 0.016772 acc_pose: 0.683809 loss: 0.016772 2022/09/19 21:33:46 - mmengine - INFO - Epoch(train) [91][250/293] lr: 5.000000e-04 eta: 4:13:17 time: 0.484884 data_time: 0.070723 memory: 13365 loss_kpt: 0.016307 acc_pose: 0.645871 loss: 0.016307 2022/09/19 21:34:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:34:33 - mmengine - INFO - Epoch(train) [92][50/293] lr: 5.000000e-04 eta: 4:12:16 time: 0.502152 data_time: 0.091827 memory: 13365 loss_kpt: 0.016750 acc_pose: 0.687912 loss: 0.016750 2022/09/19 21:34:58 - mmengine - INFO - Epoch(train) [92][100/293] lr: 5.000000e-04 eta: 4:11:58 time: 0.494806 data_time: 0.069889 memory: 13365 loss_kpt: 0.016359 acc_pose: 0.672594 loss: 0.016359 2022/09/19 21:35:22 - mmengine - INFO - Epoch(train) [92][150/293] lr: 5.000000e-04 eta: 4:11:40 time: 0.490712 data_time: 0.075700 memory: 13365 loss_kpt: 0.016434 acc_pose: 0.619233 loss: 0.016434 2022/09/19 21:35:48 - mmengine - INFO - Epoch(train) [92][200/293] lr: 5.000000e-04 eta: 4:11:23 time: 0.504347 data_time: 0.069536 memory: 13365 loss_kpt: 0.016771 acc_pose: 0.681253 loss: 0.016771 2022/09/19 21:36:13 - mmengine - INFO - Epoch(train) [92][250/293] lr: 5.000000e-04 eta: 4:11:05 time: 0.501231 data_time: 0.076038 memory: 13365 loss_kpt: 0.016542 acc_pose: 0.676834 loss: 0.016542 2022/09/19 21:36:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:36:58 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:37:00 - mmengine - INFO - Epoch(train) [93][50/293] lr: 5.000000e-04 eta: 4:10:06 time: 0.513787 data_time: 0.089834 memory: 13365 loss_kpt: 0.016370 acc_pose: 0.666654 loss: 0.016370 2022/09/19 21:37:25 - mmengine - INFO - Epoch(train) [93][100/293] lr: 5.000000e-04 eta: 4:09:48 time: 0.497341 data_time: 0.074303 memory: 13365 loss_kpt: 0.016606 acc_pose: 0.650016 loss: 0.016606 2022/09/19 21:37:50 - mmengine - INFO - Epoch(train) [93][150/293] lr: 5.000000e-04 eta: 4:09:30 time: 0.488366 data_time: 0.069459 memory: 13365 loss_kpt: 0.016916 acc_pose: 0.661052 loss: 0.016916 2022/09/19 21:38:16 - mmengine - INFO - Epoch(train) [93][200/293] lr: 5.000000e-04 eta: 4:09:13 time: 0.517652 data_time: 0.080619 memory: 13365 loss_kpt: 0.016363 acc_pose: 0.671981 loss: 0.016363 2022/09/19 21:38:41 - mmengine - INFO - Epoch(train) [93][250/293] lr: 5.000000e-04 eta: 4:08:56 time: 0.502751 data_time: 0.069483 memory: 13365 loss_kpt: 0.016544 acc_pose: 0.669591 loss: 0.016544 2022/09/19 21:39:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:39:28 - mmengine - INFO - Epoch(train) [94][50/293] lr: 5.000000e-04 eta: 4:07:57 time: 0.515127 data_time: 0.083971 memory: 13365 loss_kpt: 0.016284 acc_pose: 0.633750 loss: 0.016284 2022/09/19 21:39:52 - mmengine - INFO - Epoch(train) [94][100/293] lr: 5.000000e-04 eta: 4:07:39 time: 0.494013 data_time: 0.069517 memory: 13365 loss_kpt: 0.016108 acc_pose: 0.706179 loss: 0.016108 2022/09/19 21:40:18 - mmengine - INFO - Epoch(train) [94][150/293] lr: 5.000000e-04 eta: 4:07:22 time: 0.507771 data_time: 0.069105 memory: 13365 loss_kpt: 0.016246 acc_pose: 0.691634 loss: 0.016246 2022/09/19 21:40:43 - mmengine - INFO - Epoch(train) [94][200/293] lr: 5.000000e-04 eta: 4:07:05 time: 0.510407 data_time: 0.073867 memory: 13365 loss_kpt: 0.016603 acc_pose: 0.623301 loss: 0.016603 2022/09/19 21:41:08 - mmengine - INFO - Epoch(train) [94][250/293] lr: 5.000000e-04 eta: 4:06:47 time: 0.499342 data_time: 0.078114 memory: 13365 loss_kpt: 0.016368 acc_pose: 0.673594 loss: 0.016368 2022/09/19 21:41:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:41:55 - mmengine - INFO - Epoch(train) [95][50/293] lr: 5.000000e-04 eta: 4:05:48 time: 0.507726 data_time: 0.083008 memory: 13365 loss_kpt: 0.016508 acc_pose: 0.715751 loss: 0.016508 2022/09/19 21:42:19 - mmengine - INFO - Epoch(train) [95][100/293] lr: 5.000000e-04 eta: 4:05:30 time: 0.489677 data_time: 0.073217 memory: 13365 loss_kpt: 0.016675 acc_pose: 0.654261 loss: 0.016675 2022/09/19 21:42:44 - mmengine - INFO - Epoch(train) [95][150/293] lr: 5.000000e-04 eta: 4:05:12 time: 0.501765 data_time: 0.071023 memory: 13365 loss_kpt: 0.016674 acc_pose: 0.661158 loss: 0.016674 2022/09/19 21:43:10 - mmengine - INFO - Epoch(train) [95][200/293] lr: 5.000000e-04 eta: 4:04:55 time: 0.509121 data_time: 0.070527 memory: 13365 loss_kpt: 0.016606 acc_pose: 0.670914 loss: 0.016606 2022/09/19 21:43:34 - mmengine - INFO - Epoch(train) [95][250/293] lr: 5.000000e-04 eta: 4:04:36 time: 0.488747 data_time: 0.080204 memory: 13365 loss_kpt: 0.016110 acc_pose: 0.630692 loss: 0.016110 2022/09/19 21:43:56 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:44:21 - mmengine - INFO - Epoch(train) [96][50/293] lr: 5.000000e-04 eta: 4:03:37 time: 0.501978 data_time: 0.088136 memory: 13365 loss_kpt: 0.016534 acc_pose: 0.631275 loss: 0.016534 2022/09/19 21:44:46 - mmengine - INFO - Epoch(train) [96][100/293] lr: 5.000000e-04 eta: 4:03:19 time: 0.495269 data_time: 0.080711 memory: 13365 loss_kpt: 0.016537 acc_pose: 0.682547 loss: 0.016537 2022/09/19 21:45:10 - mmengine - INFO - Epoch(train) [96][150/293] lr: 5.000000e-04 eta: 4:03:01 time: 0.488942 data_time: 0.077289 memory: 13365 loss_kpt: 0.016591 acc_pose: 0.661557 loss: 0.016591 2022/09/19 21:45:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:45:36 - mmengine - INFO - Epoch(train) [96][200/293] lr: 5.000000e-04 eta: 4:02:43 time: 0.506208 data_time: 0.070247 memory: 13365 loss_kpt: 0.016216 acc_pose: 0.663191 loss: 0.016216 2022/09/19 21:46:01 - mmengine - INFO - Epoch(train) [96][250/293] lr: 5.000000e-04 eta: 4:02:25 time: 0.499633 data_time: 0.080893 memory: 13365 loss_kpt: 0.016663 acc_pose: 0.621972 loss: 0.016663 2022/09/19 21:46:22 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:46:48 - mmengine - INFO - Epoch(train) [97][50/293] lr: 5.000000e-04 eta: 4:01:28 time: 0.523695 data_time: 0.084241 memory: 13365 loss_kpt: 0.016167 acc_pose: 0.661180 loss: 0.016167 2022/09/19 21:47:13 - mmengine - INFO - Epoch(train) [97][100/293] lr: 5.000000e-04 eta: 4:01:10 time: 0.490377 data_time: 0.074262 memory: 13365 loss_kpt: 0.016325 acc_pose: 0.632188 loss: 0.016325 2022/09/19 21:47:37 - mmengine - INFO - Epoch(train) [97][150/293] lr: 5.000000e-04 eta: 4:00:51 time: 0.493201 data_time: 0.072909 memory: 13365 loss_kpt: 0.016669 acc_pose: 0.685424 loss: 0.016669 2022/09/19 21:48:02 - mmengine - INFO - Epoch(train) [97][200/293] lr: 5.000000e-04 eta: 4:00:33 time: 0.499088 data_time: 0.078176 memory: 13365 loss_kpt: 0.016587 acc_pose: 0.650823 loss: 0.016587 2022/09/19 21:48:28 - mmengine - INFO - Epoch(train) [97][250/293] lr: 5.000000e-04 eta: 4:00:16 time: 0.503487 data_time: 0.072161 memory: 13365 loss_kpt: 0.016511 acc_pose: 0.702089 loss: 0.016511 2022/09/19 21:48:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:49:14 - mmengine - INFO - Epoch(train) [98][50/293] lr: 5.000000e-04 eta: 3:59:17 time: 0.500408 data_time: 0.081216 memory: 13365 loss_kpt: 0.016382 acc_pose: 0.663938 loss: 0.016382 2022/09/19 21:49:39 - mmengine - INFO - Epoch(train) [98][100/293] lr: 5.000000e-04 eta: 3:58:59 time: 0.497131 data_time: 0.077407 memory: 13365 loss_kpt: 0.016429 acc_pose: 0.668655 loss: 0.016429 2022/09/19 21:50:03 - mmengine - INFO - Epoch(train) [98][150/293] lr: 5.000000e-04 eta: 3:58:40 time: 0.478743 data_time: 0.071746 memory: 13365 loss_kpt: 0.016556 acc_pose: 0.699311 loss: 0.016556 2022/09/19 21:50:28 - mmengine - INFO - Epoch(train) [98][200/293] lr: 5.000000e-04 eta: 3:58:22 time: 0.503544 data_time: 0.070180 memory: 13365 loss_kpt: 0.016543 acc_pose: 0.593033 loss: 0.016543 2022/09/19 21:50:53 - mmengine - INFO - Epoch(train) [98][250/293] lr: 5.000000e-04 eta: 3:58:04 time: 0.496580 data_time: 0.079582 memory: 13365 loss_kpt: 0.016355 acc_pose: 0.625491 loss: 0.016355 2022/09/19 21:51:14 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:51:40 - mmengine - INFO - Epoch(train) [99][50/293] lr: 5.000000e-04 eta: 3:57:07 time: 0.520866 data_time: 0.084886 memory: 13365 loss_kpt: 0.016439 acc_pose: 0.725383 loss: 0.016439 2022/09/19 21:52:05 - mmengine - INFO - Epoch(train) [99][100/293] lr: 5.000000e-04 eta: 3:56:49 time: 0.488679 data_time: 0.072584 memory: 13365 loss_kpt: 0.016395 acc_pose: 0.653494 loss: 0.016395 2022/09/19 21:52:30 - mmengine - INFO - Epoch(train) [99][150/293] lr: 5.000000e-04 eta: 3:56:31 time: 0.502185 data_time: 0.073731 memory: 13365 loss_kpt: 0.016496 acc_pose: 0.715888 loss: 0.016496 2022/09/19 21:52:54 - mmengine - INFO - Epoch(train) [99][200/293] lr: 5.000000e-04 eta: 3:56:12 time: 0.492393 data_time: 0.071404 memory: 13365 loss_kpt: 0.016345 acc_pose: 0.632079 loss: 0.016345 2022/09/19 21:53:19 - mmengine - INFO - Epoch(train) [99][250/293] lr: 5.000000e-04 eta: 3:55:54 time: 0.499938 data_time: 0.075733 memory: 13365 loss_kpt: 0.016622 acc_pose: 0.752766 loss: 0.016622 2022/09/19 21:53:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:53:41 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:54:06 - mmengine - INFO - Epoch(train) [100][50/293] lr: 5.000000e-04 eta: 3:54:57 time: 0.499160 data_time: 0.086449 memory: 13365 loss_kpt: 0.016061 acc_pose: 0.711863 loss: 0.016061 2022/09/19 21:54:31 - mmengine - INFO - Epoch(train) [100][100/293] lr: 5.000000e-04 eta: 3:54:38 time: 0.489922 data_time: 0.075781 memory: 13365 loss_kpt: 0.016175 acc_pose: 0.657189 loss: 0.016175 2022/09/19 21:54:56 - mmengine - INFO - Epoch(train) [100][150/293] lr: 5.000000e-04 eta: 3:54:20 time: 0.507336 data_time: 0.087081 memory: 13365 loss_kpt: 0.016603 acc_pose: 0.639794 loss: 0.016603 2022/09/19 21:55:21 - mmengine - INFO - Epoch(train) [100][200/293] lr: 5.000000e-04 eta: 3:54:02 time: 0.496028 data_time: 0.070215 memory: 13365 loss_kpt: 0.016119 acc_pose: 0.611831 loss: 0.016119 2022/09/19 21:55:46 - mmengine - INFO - Epoch(train) [100][250/293] lr: 5.000000e-04 eta: 3:53:44 time: 0.502100 data_time: 0.070563 memory: 13365 loss_kpt: 0.016186 acc_pose: 0.603476 loss: 0.016186 2022/09/19 21:56:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 21:56:07 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/09/19 21:56:19 - mmengine - INFO - Epoch(val) [100][50/407] eta: 0:00:55 time: 0.156794 data_time: 0.022545 memory: 13365 2022/09/19 21:56:27 - mmengine - INFO - Epoch(val) [100][100/407] eta: 0:00:45 time: 0.146604 data_time: 0.010550 memory: 2189 2022/09/19 21:56:34 - mmengine - INFO - Epoch(val) [100][150/407] eta: 0:00:36 time: 0.142354 data_time: 0.010651 memory: 2189 2022/09/19 21:56:41 - mmengine - INFO - Epoch(val) [100][200/407] eta: 0:00:30 time: 0.148202 data_time: 0.014043 memory: 2189 2022/09/19 21:56:49 - mmengine - INFO - Epoch(val) [100][250/407] eta: 0:00:23 time: 0.151242 data_time: 0.012805 memory: 2189 2022/09/19 21:56:56 - mmengine - INFO - Epoch(val) [100][300/407] eta: 0:00:16 time: 0.151723 data_time: 0.020597 memory: 2189 2022/09/19 21:57:04 - mmengine - INFO - Epoch(val) [100][350/407] eta: 0:00:08 time: 0.148569 data_time: 0.015178 memory: 2189 2022/09/19 21:57:11 - mmengine - INFO - Epoch(val) [100][400/407] eta: 0:00:00 time: 0.141728 data_time: 0.010803 memory: 2189 2022/09/19 21:57:42 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 21:57:54 - mmengine - INFO - Epoch(val) [100][407/407] coco/AP: 0.587422 coco/AP .5: 0.842413 coco/AP .75: 0.656618 coco/AP (M): 0.562695 coco/AP (L): 0.643876 coco/AR: 0.649087 coco/AR .5: 0.888854 coco/AR .75: 0.715680 coco/AR (M): 0.611773 coco/AR (L): 0.702601 2022/09/19 21:57:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_90.pth is removed 2022/09/19 21:57:57 - mmengine - INFO - The best checkpoint with 0.5874 coco/AP at 100 epoch is saved to best_coco/AP_epoch_100.pth. 2022/09/19 21:58:22 - mmengine - INFO - Epoch(train) [101][50/293] lr: 5.000000e-04 eta: 3:52:47 time: 0.497411 data_time: 0.084507 memory: 13365 loss_kpt: 0.016392 acc_pose: 0.660817 loss: 0.016392 2022/09/19 21:58:47 - mmengine - INFO - Epoch(train) [101][100/293] lr: 5.000000e-04 eta: 3:52:28 time: 0.490252 data_time: 0.077861 memory: 13365 loss_kpt: 0.016436 acc_pose: 0.692727 loss: 0.016436 2022/09/19 21:59:13 - mmengine - INFO - Epoch(train) [101][150/293] lr: 5.000000e-04 eta: 3:52:11 time: 0.516077 data_time: 0.075658 memory: 13365 loss_kpt: 0.016101 acc_pose: 0.676488 loss: 0.016101 2022/09/19 21:59:38 - mmengine - INFO - Epoch(train) [101][200/293] lr: 5.000000e-04 eta: 3:51:53 time: 0.505031 data_time: 0.073780 memory: 13365 loss_kpt: 0.016245 acc_pose: 0.660286 loss: 0.016245 2022/09/19 22:00:02 - mmengine - INFO - Epoch(train) [101][250/293] lr: 5.000000e-04 eta: 3:51:34 time: 0.487862 data_time: 0.079236 memory: 13365 loss_kpt: 0.016245 acc_pose: 0.701521 loss: 0.016245 2022/09/19 22:00:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:00:49 - mmengine - INFO - Epoch(train) [102][50/293] lr: 5.000000e-04 eta: 3:50:38 time: 0.508751 data_time: 0.084689 memory: 13365 loss_kpt: 0.015939 acc_pose: 0.677671 loss: 0.015939 2022/09/19 22:01:13 - mmengine - INFO - Epoch(train) [102][100/293] lr: 5.000000e-04 eta: 3:50:19 time: 0.486376 data_time: 0.074602 memory: 13365 loss_kpt: 0.016293 acc_pose: 0.590452 loss: 0.016293 2022/09/19 22:01:39 - mmengine - INFO - Epoch(train) [102][150/293] lr: 5.000000e-04 eta: 3:50:02 time: 0.517562 data_time: 0.077545 memory: 13365 loss_kpt: 0.016753 acc_pose: 0.674133 loss: 0.016753 2022/09/19 22:02:04 - mmengine - INFO - Epoch(train) [102][200/293] lr: 5.000000e-04 eta: 3:49:43 time: 0.494395 data_time: 0.077540 memory: 13365 loss_kpt: 0.016117 acc_pose: 0.693430 loss: 0.016117 2022/09/19 22:02:29 - mmengine - INFO - Epoch(train) [102][250/293] lr: 5.000000e-04 eta: 3:49:25 time: 0.504153 data_time: 0.080374 memory: 13365 loss_kpt: 0.016467 acc_pose: 0.634258 loss: 0.016467 2022/09/19 22:02:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:03:15 - mmengine - INFO - Epoch(train) [103][50/293] lr: 5.000000e-04 eta: 3:48:29 time: 0.505817 data_time: 0.091122 memory: 13365 loss_kpt: 0.016464 acc_pose: 0.711008 loss: 0.016464 2022/09/19 22:03:41 - mmengine - INFO - Epoch(train) [103][100/293] lr: 5.000000e-04 eta: 3:48:11 time: 0.507628 data_time: 0.071722 memory: 13365 loss_kpt: 0.016142 acc_pose: 0.649491 loss: 0.016142 2022/09/19 22:03:48 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:04:05 - mmengine - INFO - Epoch(train) [103][150/293] lr: 5.000000e-04 eta: 3:47:52 time: 0.493342 data_time: 0.079823 memory: 13365 loss_kpt: 0.016490 acc_pose: 0.639180 loss: 0.016490 2022/09/19 22:04:30 - mmengine - INFO - Epoch(train) [103][200/293] lr: 5.000000e-04 eta: 3:47:34 time: 0.491724 data_time: 0.075495 memory: 13365 loss_kpt: 0.016181 acc_pose: 0.642750 loss: 0.016181 2022/09/19 22:04:54 - mmengine - INFO - Epoch(train) [103][250/293] lr: 5.000000e-04 eta: 3:47:14 time: 0.485410 data_time: 0.070270 memory: 13365 loss_kpt: 0.015937 acc_pose: 0.661635 loss: 0.015937 2022/09/19 22:05:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:05:41 - mmengine - INFO - Epoch(train) [104][50/293] lr: 5.000000e-04 eta: 3:46:19 time: 0.516686 data_time: 0.086528 memory: 13365 loss_kpt: 0.016054 acc_pose: 0.669924 loss: 0.016054 2022/09/19 22:06:06 - mmengine - INFO - Epoch(train) [104][100/293] lr: 5.000000e-04 eta: 3:46:00 time: 0.492699 data_time: 0.075947 memory: 13365 loss_kpt: 0.016447 acc_pose: 0.668746 loss: 0.016447 2022/09/19 22:06:31 - mmengine - INFO - Epoch(train) [104][150/293] lr: 5.000000e-04 eta: 3:45:42 time: 0.504730 data_time: 0.070921 memory: 13365 loss_kpt: 0.016150 acc_pose: 0.662780 loss: 0.016150 2022/09/19 22:06:56 - mmengine - INFO - Epoch(train) [104][200/293] lr: 5.000000e-04 eta: 3:45:24 time: 0.506626 data_time: 0.077371 memory: 13365 loss_kpt: 0.016382 acc_pose: 0.663350 loss: 0.016382 2022/09/19 22:07:21 - mmengine - INFO - Epoch(train) [104][250/293] lr: 5.000000e-04 eta: 3:45:06 time: 0.497685 data_time: 0.072292 memory: 13365 loss_kpt: 0.016240 acc_pose: 0.663766 loss: 0.016240 2022/09/19 22:07:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:08:07 - mmengine - INFO - Epoch(train) [105][50/293] lr: 5.000000e-04 eta: 3:44:10 time: 0.504250 data_time: 0.085238 memory: 13365 loss_kpt: 0.016312 acc_pose: 0.670683 loss: 0.016312 2022/09/19 22:08:32 - mmengine - INFO - Epoch(train) [105][100/293] lr: 5.000000e-04 eta: 3:43:51 time: 0.490864 data_time: 0.073152 memory: 13365 loss_kpt: 0.016289 acc_pose: 0.599802 loss: 0.016289 2022/09/19 22:08:57 - mmengine - INFO - Epoch(train) [105][150/293] lr: 5.000000e-04 eta: 3:43:33 time: 0.494034 data_time: 0.073012 memory: 13365 loss_kpt: 0.016168 acc_pose: 0.702066 loss: 0.016168 2022/09/19 22:09:22 - mmengine - INFO - Epoch(train) [105][200/293] lr: 5.000000e-04 eta: 3:43:14 time: 0.501581 data_time: 0.079614 memory: 13365 loss_kpt: 0.016183 acc_pose: 0.663359 loss: 0.016183 2022/09/19 22:09:46 - mmengine - INFO - Epoch(train) [105][250/293] lr: 5.000000e-04 eta: 3:42:55 time: 0.489518 data_time: 0.069951 memory: 13365 loss_kpt: 0.016498 acc_pose: 0.616262 loss: 0.016498 2022/09/19 22:10:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:10:33 - mmengine - INFO - Epoch(train) [106][50/293] lr: 5.000000e-04 eta: 3:42:00 time: 0.504033 data_time: 0.083431 memory: 13365 loss_kpt: 0.016379 acc_pose: 0.660130 loss: 0.016379 2022/09/19 22:10:58 - mmengine - INFO - Epoch(train) [106][100/293] lr: 5.000000e-04 eta: 3:41:42 time: 0.502980 data_time: 0.075026 memory: 13365 loss_kpt: 0.016097 acc_pose: 0.699204 loss: 0.016097 2022/09/19 22:11:22 - mmengine - INFO - Epoch(train) [106][150/293] lr: 5.000000e-04 eta: 3:41:23 time: 0.488149 data_time: 0.073417 memory: 13365 loss_kpt: 0.016117 acc_pose: 0.685808 loss: 0.016117 2022/09/19 22:11:47 - mmengine - INFO - Epoch(train) [106][200/293] lr: 5.000000e-04 eta: 3:41:04 time: 0.493306 data_time: 0.074537 memory: 13365 loss_kpt: 0.016311 acc_pose: 0.684312 loss: 0.016311 2022/09/19 22:12:04 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:12:12 - mmengine - INFO - Epoch(train) [106][250/293] lr: 5.000000e-04 eta: 3:40:46 time: 0.506986 data_time: 0.079969 memory: 13365 loss_kpt: 0.016150 acc_pose: 0.708661 loss: 0.016150 2022/09/19 22:12:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:12:59 - mmengine - INFO - Epoch(train) [107][50/293] lr: 5.000000e-04 eta: 3:39:51 time: 0.503072 data_time: 0.081428 memory: 13365 loss_kpt: 0.015962 acc_pose: 0.652669 loss: 0.015962 2022/09/19 22:13:23 - mmengine - INFO - Epoch(train) [107][100/293] lr: 5.000000e-04 eta: 3:39:31 time: 0.486977 data_time: 0.080473 memory: 13365 loss_kpt: 0.016075 acc_pose: 0.686077 loss: 0.016075 2022/09/19 22:13:48 - mmengine - INFO - Epoch(train) [107][150/293] lr: 5.000000e-04 eta: 3:39:13 time: 0.505453 data_time: 0.073809 memory: 13365 loss_kpt: 0.016296 acc_pose: 0.635162 loss: 0.016296 2022/09/19 22:14:13 - mmengine - INFO - Epoch(train) [107][200/293] lr: 5.000000e-04 eta: 3:38:54 time: 0.493103 data_time: 0.072586 memory: 13365 loss_kpt: 0.015904 acc_pose: 0.692561 loss: 0.015904 2022/09/19 22:14:38 - mmengine - INFO - Epoch(train) [107][250/293] lr: 5.000000e-04 eta: 3:38:36 time: 0.496065 data_time: 0.071905 memory: 13365 loss_kpt: 0.016364 acc_pose: 0.663816 loss: 0.016364 2022/09/19 22:14:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:15:25 - mmengine - INFO - Epoch(train) [108][50/293] lr: 5.000000e-04 eta: 3:37:41 time: 0.509039 data_time: 0.085378 memory: 13365 loss_kpt: 0.016122 acc_pose: 0.662654 loss: 0.016122 2022/09/19 22:15:49 - mmengine - INFO - Epoch(train) [108][100/293] lr: 5.000000e-04 eta: 3:37:22 time: 0.490822 data_time: 0.070560 memory: 13365 loss_kpt: 0.015746 acc_pose: 0.672854 loss: 0.015746 2022/09/19 22:16:14 - mmengine - INFO - Epoch(train) [108][150/293] lr: 5.000000e-04 eta: 3:37:03 time: 0.488953 data_time: 0.071302 memory: 13365 loss_kpt: 0.016270 acc_pose: 0.629845 loss: 0.016270 2022/09/19 22:16:39 - mmengine - INFO - Epoch(train) [108][200/293] lr: 5.000000e-04 eta: 3:36:45 time: 0.502606 data_time: 0.071717 memory: 13365 loss_kpt: 0.015510 acc_pose: 0.744413 loss: 0.015510 2022/09/19 22:17:03 - mmengine - INFO - Epoch(train) [108][250/293] lr: 5.000000e-04 eta: 3:36:25 time: 0.486268 data_time: 0.077590 memory: 13365 loss_kpt: 0.015851 acc_pose: 0.708447 loss: 0.015851 2022/09/19 22:17:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:17:50 - mmengine - INFO - Epoch(train) [109][50/293] lr: 5.000000e-04 eta: 3:35:31 time: 0.515348 data_time: 0.084570 memory: 13365 loss_kpt: 0.016238 acc_pose: 0.699260 loss: 0.016238 2022/09/19 22:18:15 - mmengine - INFO - Epoch(train) [109][100/293] lr: 5.000000e-04 eta: 3:35:13 time: 0.492802 data_time: 0.069846 memory: 13365 loss_kpt: 0.016342 acc_pose: 0.696341 loss: 0.016342 2022/09/19 22:18:39 - mmengine - INFO - Epoch(train) [109][150/293] lr: 5.000000e-04 eta: 3:34:54 time: 0.496035 data_time: 0.074510 memory: 13365 loss_kpt: 0.016113 acc_pose: 0.603156 loss: 0.016113 2022/09/19 22:19:04 - mmengine - INFO - Epoch(train) [109][200/293] lr: 5.000000e-04 eta: 3:34:35 time: 0.492868 data_time: 0.080029 memory: 13365 loss_kpt: 0.016221 acc_pose: 0.602007 loss: 0.016221 2022/09/19 22:19:29 - mmengine - INFO - Epoch(train) [109][250/293] lr: 5.000000e-04 eta: 3:34:16 time: 0.493440 data_time: 0.071599 memory: 13365 loss_kpt: 0.016101 acc_pose: 0.674353 loss: 0.016101 2022/09/19 22:19:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:20:15 - mmengine - INFO - Epoch(train) [110][50/293] lr: 5.000000e-04 eta: 3:33:22 time: 0.502302 data_time: 0.081968 memory: 13365 loss_kpt: 0.016331 acc_pose: 0.677948 loss: 0.016331 2022/09/19 22:20:22 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:20:40 - mmengine - INFO - Epoch(train) [110][100/293] lr: 5.000000e-04 eta: 3:33:03 time: 0.495982 data_time: 0.071555 memory: 13365 loss_kpt: 0.016251 acc_pose: 0.668441 loss: 0.016251 2022/09/19 22:21:05 - mmengine - INFO - Epoch(train) [110][150/293] lr: 5.000000e-04 eta: 3:32:44 time: 0.496426 data_time: 0.079865 memory: 13365 loss_kpt: 0.016353 acc_pose: 0.689443 loss: 0.016353 2022/09/19 22:21:29 - mmengine - INFO - Epoch(train) [110][200/293] lr: 5.000000e-04 eta: 3:32:25 time: 0.493147 data_time: 0.078207 memory: 13365 loss_kpt: 0.015999 acc_pose: 0.657824 loss: 0.015999 2022/09/19 22:21:54 - mmengine - INFO - Epoch(train) [110][250/293] lr: 5.000000e-04 eta: 3:32:06 time: 0.494675 data_time: 0.071622 memory: 13365 loss_kpt: 0.016243 acc_pose: 0.651803 loss: 0.016243 2022/09/19 22:22:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:22:15 - mmengine - INFO - Saving checkpoint at 110 epochs 2022/09/19 22:22:27 - mmengine - INFO - Epoch(val) [110][50/407] eta: 0:00:56 time: 0.157218 data_time: 0.022137 memory: 13365 2022/09/19 22:22:35 - mmengine - INFO - Epoch(val) [110][100/407] eta: 0:00:46 time: 0.150846 data_time: 0.018533 memory: 2189 2022/09/19 22:22:42 - mmengine - INFO - Epoch(val) [110][150/407] eta: 0:00:39 time: 0.153739 data_time: 0.020922 memory: 2189 2022/09/19 22:22:50 - mmengine - INFO - Epoch(val) [110][200/407] eta: 0:00:30 time: 0.147692 data_time: 0.012075 memory: 2189 2022/09/19 22:22:57 - mmengine - INFO - Epoch(val) [110][250/407] eta: 0:00:22 time: 0.145378 data_time: 0.011898 memory: 2189 2022/09/19 22:23:05 - mmengine - INFO - Epoch(val) [110][300/407] eta: 0:00:16 time: 0.151966 data_time: 0.015401 memory: 2189 2022/09/19 22:23:12 - mmengine - INFO - Epoch(val) [110][350/407] eta: 0:00:08 time: 0.145935 data_time: 0.011408 memory: 2189 2022/09/19 22:23:19 - mmengine - INFO - Epoch(val) [110][400/407] eta: 0:00:00 time: 0.139209 data_time: 0.008963 memory: 2189 2022/09/19 22:23:50 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 22:24:03 - mmengine - INFO - Epoch(val) [110][407/407] coco/AP: 0.594639 coco/AP .5: 0.847795 coco/AP .75: 0.671981 coco/AP (M): 0.568953 coco/AP (L): 0.651330 coco/AR: 0.656045 coco/AR .5: 0.892160 coco/AR .75: 0.730006 coco/AR (M): 0.618001 coco/AR (L): 0.710368 2022/09/19 22:24:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_100.pth is removed 2022/09/19 22:24:06 - mmengine - INFO - The best checkpoint with 0.5946 coco/AP at 110 epoch is saved to best_coco/AP_epoch_110.pth. 2022/09/19 22:24:31 - mmengine - INFO - Epoch(train) [111][50/293] lr: 5.000000e-04 eta: 3:31:11 time: 0.490662 data_time: 0.084183 memory: 13365 loss_kpt: 0.016080 acc_pose: 0.624233 loss: 0.016080 2022/09/19 22:24:55 - mmengine - INFO - Epoch(train) [111][100/293] lr: 5.000000e-04 eta: 3:30:53 time: 0.498411 data_time: 0.079494 memory: 13365 loss_kpt: 0.015853 acc_pose: 0.679889 loss: 0.015853 2022/09/19 22:25:20 - mmengine - INFO - Epoch(train) [111][150/293] lr: 5.000000e-04 eta: 3:30:34 time: 0.493570 data_time: 0.071812 memory: 13365 loss_kpt: 0.015968 acc_pose: 0.652755 loss: 0.015968 2022/09/19 22:25:45 - mmengine - INFO - Epoch(train) [111][200/293] lr: 5.000000e-04 eta: 3:30:15 time: 0.507404 data_time: 0.072391 memory: 13365 loss_kpt: 0.015852 acc_pose: 0.672173 loss: 0.015852 2022/09/19 22:26:10 - mmengine - INFO - Epoch(train) [111][250/293] lr: 5.000000e-04 eta: 3:29:57 time: 0.495962 data_time: 0.068933 memory: 13365 loss_kpt: 0.016083 acc_pose: 0.653166 loss: 0.016083 2022/09/19 22:26:31 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:26:57 - mmengine - INFO - Epoch(train) [112][50/293] lr: 5.000000e-04 eta: 3:29:03 time: 0.505732 data_time: 0.082675 memory: 13365 loss_kpt: 0.016339 acc_pose: 0.613358 loss: 0.016339 2022/09/19 22:27:22 - mmengine - INFO - Epoch(train) [112][100/293] lr: 5.000000e-04 eta: 3:28:44 time: 0.500386 data_time: 0.069707 memory: 13365 loss_kpt: 0.016473 acc_pose: 0.647913 loss: 0.016473 2022/09/19 22:27:46 - mmengine - INFO - Epoch(train) [112][150/293] lr: 5.000000e-04 eta: 3:28:25 time: 0.481433 data_time: 0.071199 memory: 13365 loss_kpt: 0.016112 acc_pose: 0.636004 loss: 0.016112 2022/09/19 22:28:11 - mmengine - INFO - Epoch(train) [112][200/293] lr: 5.000000e-04 eta: 3:28:06 time: 0.498946 data_time: 0.067794 memory: 13365 loss_kpt: 0.016739 acc_pose: 0.659325 loss: 0.016739 2022/09/19 22:28:35 - mmengine - INFO - Epoch(train) [112][250/293] lr: 5.000000e-04 eta: 3:27:47 time: 0.491326 data_time: 0.072994 memory: 13365 loss_kpt: 0.016156 acc_pose: 0.673085 loss: 0.016156 2022/09/19 22:28:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:29:22 - mmengine - INFO - Epoch(train) [113][50/293] lr: 5.000000e-04 eta: 3:26:54 time: 0.510925 data_time: 0.086562 memory: 13365 loss_kpt: 0.016118 acc_pose: 0.668926 loss: 0.016118 2022/09/19 22:29:47 - mmengine - INFO - Epoch(train) [113][100/293] lr: 5.000000e-04 eta: 3:26:34 time: 0.493842 data_time: 0.070143 memory: 13365 loss_kpt: 0.016286 acc_pose: 0.611582 loss: 0.016286 2022/09/19 22:30:12 - mmengine - INFO - Epoch(train) [113][150/293] lr: 5.000000e-04 eta: 3:26:16 time: 0.494730 data_time: 0.075609 memory: 13365 loss_kpt: 0.016159 acc_pose: 0.599966 loss: 0.016159 2022/09/19 22:30:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:30:37 - mmengine - INFO - Epoch(train) [113][200/293] lr: 5.000000e-04 eta: 3:25:57 time: 0.495376 data_time: 0.073319 memory: 13365 loss_kpt: 0.016038 acc_pose: 0.657593 loss: 0.016038 2022/09/19 22:31:02 - mmengine - INFO - Epoch(train) [113][250/293] lr: 5.000000e-04 eta: 3:25:38 time: 0.502982 data_time: 0.074356 memory: 13365 loss_kpt: 0.016089 acc_pose: 0.652235 loss: 0.016089 2022/09/19 22:31:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:31:48 - mmengine - INFO - Epoch(train) [114][50/293] lr: 5.000000e-04 eta: 3:24:45 time: 0.503582 data_time: 0.079338 memory: 13365 loss_kpt: 0.016205 acc_pose: 0.671968 loss: 0.016205 2022/09/19 22:32:13 - mmengine - INFO - Epoch(train) [114][100/293] lr: 5.000000e-04 eta: 3:24:26 time: 0.498825 data_time: 0.079730 memory: 13365 loss_kpt: 0.015992 acc_pose: 0.649532 loss: 0.015992 2022/09/19 22:32:38 - mmengine - INFO - Epoch(train) [114][150/293] lr: 5.000000e-04 eta: 3:24:07 time: 0.502425 data_time: 0.076566 memory: 13365 loss_kpt: 0.015941 acc_pose: 0.637316 loss: 0.015941 2022/09/19 22:33:03 - mmengine - INFO - Epoch(train) [114][200/293] lr: 5.000000e-04 eta: 3:23:48 time: 0.495491 data_time: 0.072819 memory: 13365 loss_kpt: 0.016184 acc_pose: 0.718782 loss: 0.016184 2022/09/19 22:33:27 - mmengine - INFO - Epoch(train) [114][250/293] lr: 5.000000e-04 eta: 3:23:29 time: 0.487863 data_time: 0.069461 memory: 13365 loss_kpt: 0.015629 acc_pose: 0.676601 loss: 0.015629 2022/09/19 22:33:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:34:14 - mmengine - INFO - Epoch(train) [115][50/293] lr: 5.000000e-04 eta: 3:22:36 time: 0.512140 data_time: 0.083921 memory: 13365 loss_kpt: 0.015945 acc_pose: 0.698248 loss: 0.015945 2022/09/19 22:34:39 - mmengine - INFO - Epoch(train) [115][100/293] lr: 5.000000e-04 eta: 3:22:17 time: 0.491008 data_time: 0.075580 memory: 13365 loss_kpt: 0.016228 acc_pose: 0.650734 loss: 0.016228 2022/09/19 22:35:04 - mmengine - INFO - Epoch(train) [115][150/293] lr: 5.000000e-04 eta: 3:21:58 time: 0.504667 data_time: 0.087735 memory: 13365 loss_kpt: 0.016023 acc_pose: 0.674665 loss: 0.016023 2022/09/19 22:35:29 - mmengine - INFO - Epoch(train) [115][200/293] lr: 5.000000e-04 eta: 3:21:39 time: 0.489129 data_time: 0.072725 memory: 13365 loss_kpt: 0.015499 acc_pose: 0.649070 loss: 0.015499 2022/09/19 22:35:54 - mmengine - INFO - Epoch(train) [115][250/293] lr: 5.000000e-04 eta: 3:21:20 time: 0.498867 data_time: 0.074150 memory: 13365 loss_kpt: 0.016086 acc_pose: 0.670785 loss: 0.016086 2022/09/19 22:36:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:36:40 - mmengine - INFO - Epoch(train) [116][50/293] lr: 5.000000e-04 eta: 3:20:27 time: 0.509456 data_time: 0.086303 memory: 13365 loss_kpt: 0.016055 acc_pose: 0.685872 loss: 0.016055 2022/09/19 22:37:05 - mmengine - INFO - Epoch(train) [116][100/293] lr: 5.000000e-04 eta: 3:20:08 time: 0.496033 data_time: 0.076281 memory: 13365 loss_kpt: 0.015976 acc_pose: 0.666542 loss: 0.015976 2022/09/19 22:37:30 - mmengine - INFO - Epoch(train) [116][150/293] lr: 5.000000e-04 eta: 3:19:49 time: 0.490689 data_time: 0.079849 memory: 13365 loss_kpt: 0.016404 acc_pose: 0.648959 loss: 0.016404 2022/09/19 22:37:55 - mmengine - INFO - Epoch(train) [116][200/293] lr: 5.000000e-04 eta: 3:19:30 time: 0.496305 data_time: 0.071786 memory: 13365 loss_kpt: 0.015870 acc_pose: 0.644999 loss: 0.015870 2022/09/19 22:38:20 - mmengine - INFO - Epoch(train) [116][250/293] lr: 5.000000e-04 eta: 3:19:12 time: 0.513653 data_time: 0.076924 memory: 13365 loss_kpt: 0.016087 acc_pose: 0.609972 loss: 0.016087 2022/09/19 22:38:41 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:38:48 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:39:06 - mmengine - INFO - Epoch(train) [117][50/293] lr: 5.000000e-04 eta: 3:18:19 time: 0.504609 data_time: 0.090682 memory: 13365 loss_kpt: 0.016091 acc_pose: 0.646506 loss: 0.016091 2022/09/19 22:39:31 - mmengine - INFO - Epoch(train) [117][100/293] lr: 5.000000e-04 eta: 3:18:00 time: 0.489351 data_time: 0.070743 memory: 13365 loss_kpt: 0.015830 acc_pose: 0.705159 loss: 0.015830 2022/09/19 22:39:55 - mmengine - INFO - Epoch(train) [117][150/293] lr: 5.000000e-04 eta: 3:17:40 time: 0.490919 data_time: 0.070374 memory: 13365 loss_kpt: 0.015896 acc_pose: 0.689314 loss: 0.015896 2022/09/19 22:40:21 - mmengine - INFO - Epoch(train) [117][200/293] lr: 5.000000e-04 eta: 3:17:22 time: 0.504389 data_time: 0.071437 memory: 13365 loss_kpt: 0.016288 acc_pose: 0.642330 loss: 0.016288 2022/09/19 22:40:45 - mmengine - INFO - Epoch(train) [117][250/293] lr: 5.000000e-04 eta: 3:17:02 time: 0.496920 data_time: 0.086627 memory: 13365 loss_kpt: 0.015912 acc_pose: 0.632855 loss: 0.015912 2022/09/19 22:41:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:41:31 - mmengine - INFO - Epoch(train) [118][50/293] lr: 5.000000e-04 eta: 3:16:10 time: 0.499702 data_time: 0.086326 memory: 13365 loss_kpt: 0.016250 acc_pose: 0.655676 loss: 0.016250 2022/09/19 22:41:56 - mmengine - INFO - Epoch(train) [118][100/293] lr: 5.000000e-04 eta: 3:15:51 time: 0.498051 data_time: 0.070549 memory: 13365 loss_kpt: 0.015996 acc_pose: 0.608033 loss: 0.015996 2022/09/19 22:42:21 - mmengine - INFO - Epoch(train) [118][150/293] lr: 5.000000e-04 eta: 3:15:32 time: 0.502907 data_time: 0.071233 memory: 13365 loss_kpt: 0.015997 acc_pose: 0.665947 loss: 0.015997 2022/09/19 22:42:46 - mmengine - INFO - Epoch(train) [118][200/293] lr: 5.000000e-04 eta: 3:15:13 time: 0.496086 data_time: 0.075531 memory: 13365 loss_kpt: 0.016002 acc_pose: 0.652525 loss: 0.016002 2022/09/19 22:43:11 - mmengine - INFO - Epoch(train) [118][250/293] lr: 5.000000e-04 eta: 3:14:54 time: 0.505918 data_time: 0.080234 memory: 13365 loss_kpt: 0.016240 acc_pose: 0.674380 loss: 0.016240 2022/09/19 22:43:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:43:57 - mmengine - INFO - Epoch(train) [119][50/293] lr: 5.000000e-04 eta: 3:14:02 time: 0.507401 data_time: 0.088122 memory: 13365 loss_kpt: 0.015840 acc_pose: 0.676914 loss: 0.015840 2022/09/19 22:44:21 - mmengine - INFO - Epoch(train) [119][100/293] lr: 5.000000e-04 eta: 3:13:43 time: 0.489631 data_time: 0.083659 memory: 13365 loss_kpt: 0.016244 acc_pose: 0.703722 loss: 0.016244 2022/09/19 22:44:46 - mmengine - INFO - Epoch(train) [119][150/293] lr: 5.000000e-04 eta: 3:13:24 time: 0.493851 data_time: 0.071568 memory: 13365 loss_kpt: 0.016293 acc_pose: 0.721674 loss: 0.016293 2022/09/19 22:45:11 - mmengine - INFO - Epoch(train) [119][200/293] lr: 5.000000e-04 eta: 3:13:04 time: 0.493563 data_time: 0.072627 memory: 13365 loss_kpt: 0.015894 acc_pose: 0.639620 loss: 0.015894 2022/09/19 22:45:35 - mmengine - INFO - Epoch(train) [119][250/293] lr: 5.000000e-04 eta: 3:12:44 time: 0.479676 data_time: 0.070816 memory: 13365 loss_kpt: 0.015674 acc_pose: 0.639243 loss: 0.015674 2022/09/19 22:45:55 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:46:21 - mmengine - INFO - Epoch(train) [120][50/293] lr: 5.000000e-04 eta: 3:11:53 time: 0.515439 data_time: 0.087110 memory: 13365 loss_kpt: 0.015846 acc_pose: 0.717429 loss: 0.015846 2022/09/19 22:46:46 - mmengine - INFO - Epoch(train) [120][100/293] lr: 5.000000e-04 eta: 3:11:34 time: 0.501849 data_time: 0.078691 memory: 13365 loss_kpt: 0.015729 acc_pose: 0.615454 loss: 0.015729 2022/09/19 22:47:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:47:11 - mmengine - INFO - Epoch(train) [120][150/293] lr: 5.000000e-04 eta: 3:11:15 time: 0.498168 data_time: 0.067695 memory: 13365 loss_kpt: 0.015992 acc_pose: 0.656012 loss: 0.015992 2022/09/19 22:47:36 - mmengine - INFO - Epoch(train) [120][200/293] lr: 5.000000e-04 eta: 3:10:56 time: 0.501529 data_time: 0.078126 memory: 13365 loss_kpt: 0.016193 acc_pose: 0.641051 loss: 0.016193 2022/09/19 22:48:01 - mmengine - INFO - Epoch(train) [120][250/293] lr: 5.000000e-04 eta: 3:10:37 time: 0.502996 data_time: 0.074281 memory: 13365 loss_kpt: 0.015891 acc_pose: 0.631415 loss: 0.015891 2022/09/19 22:48:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:48:23 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/09/19 22:48:35 - mmengine - INFO - Epoch(val) [120][50/407] eta: 0:00:56 time: 0.158554 data_time: 0.022288 memory: 13365 2022/09/19 22:48:42 - mmengine - INFO - Epoch(val) [120][100/407] eta: 0:00:46 time: 0.149933 data_time: 0.010201 memory: 2189 2022/09/19 22:48:50 - mmengine - INFO - Epoch(val) [120][150/407] eta: 0:00:37 time: 0.144650 data_time: 0.011321 memory: 2189 2022/09/19 22:48:57 - mmengine - INFO - Epoch(val) [120][200/407] eta: 0:00:30 time: 0.146466 data_time: 0.012882 memory: 2189 2022/09/19 22:49:04 - mmengine - INFO - Epoch(val) [120][250/407] eta: 0:00:22 time: 0.145966 data_time: 0.009955 memory: 2189 2022/09/19 22:49:12 - mmengine - INFO - Epoch(val) [120][300/407] eta: 0:00:15 time: 0.146782 data_time: 0.015121 memory: 2189 2022/09/19 22:49:19 - mmengine - INFO - Epoch(val) [120][350/407] eta: 0:00:08 time: 0.146816 data_time: 0.012681 memory: 2189 2022/09/19 22:49:26 - mmengine - INFO - Epoch(val) [120][400/407] eta: 0:00:00 time: 0.141524 data_time: 0.011361 memory: 2189 2022/09/19 22:49:57 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 22:50:10 - mmengine - INFO - Epoch(val) [120][407/407] coco/AP: 0.589551 coco/AP .5: 0.843252 coco/AP .75: 0.662817 coco/AP (M): 0.562989 coco/AP (L): 0.648096 coco/AR: 0.655022 coco/AR .5: 0.890743 coco/AR .75: 0.725756 coco/AR (M): 0.616198 coco/AR (L): 0.709922 2022/09/19 22:50:36 - mmengine - INFO - Epoch(train) [121][50/293] lr: 5.000000e-04 eta: 3:09:46 time: 0.518994 data_time: 0.091000 memory: 13365 loss_kpt: 0.015754 acc_pose: 0.651656 loss: 0.015754 2022/09/19 22:51:00 - mmengine - INFO - Epoch(train) [121][100/293] lr: 5.000000e-04 eta: 3:09:26 time: 0.491810 data_time: 0.069841 memory: 13365 loss_kpt: 0.015598 acc_pose: 0.668119 loss: 0.015598 2022/09/19 22:51:25 - mmengine - INFO - Epoch(train) [121][150/293] lr: 5.000000e-04 eta: 3:09:07 time: 0.488833 data_time: 0.075900 memory: 13365 loss_kpt: 0.015903 acc_pose: 0.670730 loss: 0.015903 2022/09/19 22:51:50 - mmengine - INFO - Epoch(train) [121][200/293] lr: 5.000000e-04 eta: 3:08:48 time: 0.506370 data_time: 0.076137 memory: 13365 loss_kpt: 0.015819 acc_pose: 0.697225 loss: 0.015819 2022/09/19 22:52:15 - mmengine - INFO - Epoch(train) [121][250/293] lr: 5.000000e-04 eta: 3:08:29 time: 0.492736 data_time: 0.077599 memory: 13365 loss_kpt: 0.015793 acc_pose: 0.675180 loss: 0.015793 2022/09/19 22:52:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:53:01 - mmengine - INFO - Epoch(train) [122][50/293] lr: 5.000000e-04 eta: 3:07:37 time: 0.508461 data_time: 0.088243 memory: 13365 loss_kpt: 0.016173 acc_pose: 0.589336 loss: 0.016173 2022/09/19 22:53:26 - mmengine - INFO - Epoch(train) [122][100/293] lr: 5.000000e-04 eta: 3:07:18 time: 0.496758 data_time: 0.072576 memory: 13365 loss_kpt: 0.015905 acc_pose: 0.609407 loss: 0.015905 2022/09/19 22:53:50 - mmengine - INFO - Epoch(train) [122][150/293] lr: 5.000000e-04 eta: 3:06:58 time: 0.484571 data_time: 0.074727 memory: 13365 loss_kpt: 0.015811 acc_pose: 0.697359 loss: 0.015811 2022/09/19 22:54:15 - mmengine - INFO - Epoch(train) [122][200/293] lr: 5.000000e-04 eta: 3:06:39 time: 0.508539 data_time: 0.071084 memory: 13365 loss_kpt: 0.015907 acc_pose: 0.627684 loss: 0.015907 2022/09/19 22:54:40 - mmengine - INFO - Epoch(train) [122][250/293] lr: 5.000000e-04 eta: 3:06:20 time: 0.498714 data_time: 0.076547 memory: 13365 loss_kpt: 0.015973 acc_pose: 0.691007 loss: 0.015973 2022/09/19 22:55:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:55:27 - mmengine - INFO - Epoch(train) [123][50/293] lr: 5.000000e-04 eta: 3:05:29 time: 0.504209 data_time: 0.085986 memory: 13365 loss_kpt: 0.016205 acc_pose: 0.660510 loss: 0.016205 2022/09/19 22:55:51 - mmengine - INFO - Epoch(train) [123][100/293] lr: 5.000000e-04 eta: 3:05:10 time: 0.490558 data_time: 0.075199 memory: 13365 loss_kpt: 0.016154 acc_pose: 0.660322 loss: 0.016154 2022/09/19 22:56:17 - mmengine - INFO - Epoch(train) [123][150/293] lr: 5.000000e-04 eta: 3:04:51 time: 0.510766 data_time: 0.077378 memory: 13365 loss_kpt: 0.015960 acc_pose: 0.675705 loss: 0.015960 2022/09/19 22:56:42 - mmengine - INFO - Epoch(train) [123][200/293] lr: 5.000000e-04 eta: 3:04:31 time: 0.498926 data_time: 0.071170 memory: 13365 loss_kpt: 0.015967 acc_pose: 0.675736 loss: 0.015967 2022/09/19 22:57:06 - mmengine - INFO - Epoch(train) [123][250/293] lr: 5.000000e-04 eta: 3:04:12 time: 0.492144 data_time: 0.071291 memory: 13365 loss_kpt: 0.016010 acc_pose: 0.723478 loss: 0.016010 2022/09/19 22:57:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:57:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 22:57:52 - mmengine - INFO - Epoch(train) [124][50/293] lr: 5.000000e-04 eta: 3:03:21 time: 0.507204 data_time: 0.084614 memory: 13365 loss_kpt: 0.015942 acc_pose: 0.701908 loss: 0.015942 2022/09/19 22:58:17 - mmengine - INFO - Epoch(train) [124][100/293] lr: 5.000000e-04 eta: 3:03:02 time: 0.499775 data_time: 0.074874 memory: 13365 loss_kpt: 0.016273 acc_pose: 0.626705 loss: 0.016273 2022/09/19 22:58:43 - mmengine - INFO - Epoch(train) [124][150/293] lr: 5.000000e-04 eta: 3:02:43 time: 0.511736 data_time: 0.075121 memory: 13365 loss_kpt: 0.016102 acc_pose: 0.702562 loss: 0.016102 2022/09/19 22:59:07 - mmengine - INFO - Epoch(train) [124][200/293] lr: 5.000000e-04 eta: 3:02:23 time: 0.488773 data_time: 0.070535 memory: 13365 loss_kpt: 0.015824 acc_pose: 0.645339 loss: 0.015824 2022/09/19 22:59:32 - mmengine - INFO - Epoch(train) [124][250/293] lr: 5.000000e-04 eta: 3:02:04 time: 0.492011 data_time: 0.078227 memory: 13365 loss_kpt: 0.016109 acc_pose: 0.648203 loss: 0.016109 2022/09/19 22:59:53 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:00:19 - mmengine - INFO - Epoch(train) [125][50/293] lr: 5.000000e-04 eta: 3:01:13 time: 0.512932 data_time: 0.084276 memory: 13365 loss_kpt: 0.015976 acc_pose: 0.653458 loss: 0.015976 2022/09/19 23:00:43 - mmengine - INFO - Epoch(train) [125][100/293] lr: 5.000000e-04 eta: 3:00:54 time: 0.490936 data_time: 0.072214 memory: 13365 loss_kpt: 0.015675 acc_pose: 0.697228 loss: 0.015675 2022/09/19 23:01:08 - mmengine - INFO - Epoch(train) [125][150/293] lr: 5.000000e-04 eta: 3:00:34 time: 0.492461 data_time: 0.077608 memory: 13365 loss_kpt: 0.015860 acc_pose: 0.684852 loss: 0.015860 2022/09/19 23:01:33 - mmengine - INFO - Epoch(train) [125][200/293] lr: 5.000000e-04 eta: 3:00:15 time: 0.501565 data_time: 0.069345 memory: 13365 loss_kpt: 0.015708 acc_pose: 0.636034 loss: 0.015708 2022/09/19 23:01:58 - mmengine - INFO - Epoch(train) [125][250/293] lr: 5.000000e-04 eta: 2:59:56 time: 0.494193 data_time: 0.072537 memory: 13365 loss_kpt: 0.015912 acc_pose: 0.660531 loss: 0.015912 2022/09/19 23:02:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:02:44 - mmengine - INFO - Epoch(train) [126][50/293] lr: 5.000000e-04 eta: 2:59:05 time: 0.508417 data_time: 0.079660 memory: 13365 loss_kpt: 0.015981 acc_pose: 0.683061 loss: 0.015981 2022/09/19 23:03:09 - mmengine - INFO - Epoch(train) [126][100/293] lr: 5.000000e-04 eta: 2:58:46 time: 0.508223 data_time: 0.075017 memory: 13365 loss_kpt: 0.016304 acc_pose: 0.661826 loss: 0.016304 2022/09/19 23:03:34 - mmengine - INFO - Epoch(train) [126][150/293] lr: 5.000000e-04 eta: 2:58:27 time: 0.504789 data_time: 0.069300 memory: 13365 loss_kpt: 0.015796 acc_pose: 0.712409 loss: 0.015796 2022/09/19 23:03:59 - mmengine - INFO - Epoch(train) [126][200/293] lr: 5.000000e-04 eta: 2:58:07 time: 0.491767 data_time: 0.073213 memory: 13365 loss_kpt: 0.015907 acc_pose: 0.669408 loss: 0.015907 2022/09/19 23:04:24 - mmengine - INFO - Epoch(train) [126][250/293] lr: 5.000000e-04 eta: 2:57:48 time: 0.500405 data_time: 0.068267 memory: 13365 loss_kpt: 0.015837 acc_pose: 0.710056 loss: 0.015837 2022/09/19 23:04:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:05:11 - mmengine - INFO - Epoch(train) [127][50/293] lr: 5.000000e-04 eta: 2:56:58 time: 0.520097 data_time: 0.092671 memory: 13365 loss_kpt: 0.015851 acc_pose: 0.694886 loss: 0.015851 2022/09/19 23:05:26 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:05:36 - mmengine - INFO - Epoch(train) [127][100/293] lr: 5.000000e-04 eta: 2:56:39 time: 0.491638 data_time: 0.071973 memory: 13365 loss_kpt: 0.015706 acc_pose: 0.681363 loss: 0.015706 2022/09/19 23:06:00 - mmengine - INFO - Epoch(train) [127][150/293] lr: 5.000000e-04 eta: 2:56:19 time: 0.495813 data_time: 0.070522 memory: 13365 loss_kpt: 0.015801 acc_pose: 0.645923 loss: 0.015801 2022/09/19 23:06:25 - mmengine - INFO - Epoch(train) [127][200/293] lr: 5.000000e-04 eta: 2:56:00 time: 0.494030 data_time: 0.074061 memory: 13365 loss_kpt: 0.015918 acc_pose: 0.732974 loss: 0.015918 2022/09/19 23:06:49 - mmengine - INFO - Epoch(train) [127][250/293] lr: 5.000000e-04 eta: 2:55:40 time: 0.484939 data_time: 0.072638 memory: 13365 loss_kpt: 0.015863 acc_pose: 0.661356 loss: 0.015863 2022/09/19 23:07:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:07:36 - mmengine - INFO - Epoch(train) [128][50/293] lr: 5.000000e-04 eta: 2:54:50 time: 0.514079 data_time: 0.094158 memory: 13365 loss_kpt: 0.016065 acc_pose: 0.638939 loss: 0.016065 2022/09/19 23:08:01 - mmengine - INFO - Epoch(train) [128][100/293] lr: 5.000000e-04 eta: 2:54:30 time: 0.493923 data_time: 0.074621 memory: 13365 loss_kpt: 0.016137 acc_pose: 0.680367 loss: 0.016137 2022/09/19 23:08:25 - mmengine - INFO - Epoch(train) [128][150/293] lr: 5.000000e-04 eta: 2:54:10 time: 0.488579 data_time: 0.072174 memory: 13365 loss_kpt: 0.015659 acc_pose: 0.655927 loss: 0.015659 2022/09/19 23:08:50 - mmengine - INFO - Epoch(train) [128][200/293] lr: 5.000000e-04 eta: 2:53:51 time: 0.496718 data_time: 0.074822 memory: 13365 loss_kpt: 0.015798 acc_pose: 0.704504 loss: 0.015798 2022/09/19 23:09:15 - mmengine - INFO - Epoch(train) [128][250/293] lr: 5.000000e-04 eta: 2:53:32 time: 0.502560 data_time: 0.080441 memory: 13365 loss_kpt: 0.016006 acc_pose: 0.672228 loss: 0.016006 2022/09/19 23:09:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:10:02 - mmengine - INFO - Epoch(train) [129][50/293] lr: 5.000000e-04 eta: 2:52:42 time: 0.520329 data_time: 0.086405 memory: 13365 loss_kpt: 0.016009 acc_pose: 0.620844 loss: 0.016009 2022/09/19 23:10:26 - mmengine - INFO - Epoch(train) [129][100/293] lr: 5.000000e-04 eta: 2:52:22 time: 0.479579 data_time: 0.070730 memory: 13365 loss_kpt: 0.015889 acc_pose: 0.630332 loss: 0.015889 2022/09/19 23:10:51 - mmengine - INFO - Epoch(train) [129][150/293] lr: 5.000000e-04 eta: 2:52:03 time: 0.499909 data_time: 0.079242 memory: 13365 loss_kpt: 0.015722 acc_pose: 0.743805 loss: 0.015722 2022/09/19 23:11:16 - mmengine - INFO - Epoch(train) [129][200/293] lr: 5.000000e-04 eta: 2:51:43 time: 0.499425 data_time: 0.076194 memory: 13365 loss_kpt: 0.015911 acc_pose: 0.686549 loss: 0.015911 2022/09/19 23:11:40 - mmengine - INFO - Epoch(train) [129][250/293] lr: 5.000000e-04 eta: 2:51:23 time: 0.482983 data_time: 0.075938 memory: 13365 loss_kpt: 0.016169 acc_pose: 0.646293 loss: 0.016169 2022/09/19 23:12:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:12:26 - mmengine - INFO - Epoch(train) [130][50/293] lr: 5.000000e-04 eta: 2:50:34 time: 0.513691 data_time: 0.085919 memory: 13365 loss_kpt: 0.015563 acc_pose: 0.669500 loss: 0.015563 2022/09/19 23:12:51 - mmengine - INFO - Epoch(train) [130][100/293] lr: 5.000000e-04 eta: 2:50:14 time: 0.491248 data_time: 0.075993 memory: 13365 loss_kpt: 0.015655 acc_pose: 0.709907 loss: 0.015655 2022/09/19 23:13:16 - mmengine - INFO - Epoch(train) [130][150/293] lr: 5.000000e-04 eta: 2:49:54 time: 0.494852 data_time: 0.074509 memory: 13365 loss_kpt: 0.015745 acc_pose: 0.676633 loss: 0.015745 2022/09/19 23:13:41 - mmengine - INFO - Epoch(train) [130][200/293] lr: 5.000000e-04 eta: 2:49:35 time: 0.496078 data_time: 0.074440 memory: 13365 loss_kpt: 0.015903 acc_pose: 0.683774 loss: 0.015903 2022/09/19 23:13:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:14:06 - mmengine - INFO - Epoch(train) [130][250/293] lr: 5.000000e-04 eta: 2:49:15 time: 0.505553 data_time: 0.078797 memory: 13365 loss_kpt: 0.015711 acc_pose: 0.597427 loss: 0.015711 2022/09/19 23:14:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:14:27 - mmengine - INFO - Saving checkpoint at 130 epochs 2022/09/19 23:14:39 - mmengine - INFO - Epoch(val) [130][50/407] eta: 0:00:53 time: 0.150267 data_time: 0.017793 memory: 13365 2022/09/19 23:14:46 - mmengine - INFO - Epoch(val) [130][100/407] eta: 0:00:44 time: 0.146102 data_time: 0.012617 memory: 2189 2022/09/19 23:14:54 - mmengine - INFO - Epoch(val) [130][150/407] eta: 0:00:37 time: 0.147283 data_time: 0.014370 memory: 2189 2022/09/19 23:15:01 - mmengine - INFO - Epoch(val) [130][200/407] eta: 0:00:29 time: 0.144337 data_time: 0.009669 memory: 2189 2022/09/19 23:15:08 - mmengine - INFO - Epoch(val) [130][250/407] eta: 0:00:23 time: 0.152810 data_time: 0.017682 memory: 2189 2022/09/19 23:15:16 - mmengine - INFO - Epoch(val) [130][300/407] eta: 0:00:16 time: 0.149808 data_time: 0.014464 memory: 2189 2022/09/19 23:15:23 - mmengine - INFO - Epoch(val) [130][350/407] eta: 0:00:08 time: 0.150090 data_time: 0.015206 memory: 2189 2022/09/19 23:15:30 - mmengine - INFO - Epoch(val) [130][400/407] eta: 0:00:00 time: 0.138110 data_time: 0.008943 memory: 2189 2022/09/19 23:16:02 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 23:16:14 - mmengine - INFO - Epoch(val) [130][407/407] coco/AP: 0.602162 coco/AP .5: 0.848361 coco/AP .75: 0.679368 coco/AP (M): 0.577261 coco/AP (L): 0.659453 coco/AR: 0.663948 coco/AR .5: 0.893892 coco/AR .75: 0.738350 coco/AR (M): 0.626687 coco/AR (L): 0.717205 2022/09/19 23:16:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_110.pth is removed 2022/09/19 23:16:17 - mmengine - INFO - The best checkpoint with 0.6022 coco/AP at 130 epoch is saved to best_coco/AP_epoch_130.pth. 2022/09/19 23:16:43 - mmengine - INFO - Epoch(train) [131][50/293] lr: 5.000000e-04 eta: 2:48:26 time: 0.518849 data_time: 0.087488 memory: 13365 loss_kpt: 0.016085 acc_pose: 0.685528 loss: 0.016085 2022/09/19 23:17:07 - mmengine - INFO - Epoch(train) [131][100/293] lr: 5.000000e-04 eta: 2:48:06 time: 0.485266 data_time: 0.072384 memory: 13365 loss_kpt: 0.016277 acc_pose: 0.683292 loss: 0.016277 2022/09/19 23:17:32 - mmengine - INFO - Epoch(train) [131][150/293] lr: 5.000000e-04 eta: 2:47:47 time: 0.499199 data_time: 0.072578 memory: 13365 loss_kpt: 0.015616 acc_pose: 0.669034 loss: 0.015616 2022/09/19 23:17:57 - mmengine - INFO - Epoch(train) [131][200/293] lr: 5.000000e-04 eta: 2:47:27 time: 0.503291 data_time: 0.073366 memory: 13365 loss_kpt: 0.015645 acc_pose: 0.652926 loss: 0.015645 2022/09/19 23:18:22 - mmengine - INFO - Epoch(train) [131][250/293] lr: 5.000000e-04 eta: 2:47:08 time: 0.494927 data_time: 0.073940 memory: 13365 loss_kpt: 0.015796 acc_pose: 0.697017 loss: 0.015796 2022/09/19 23:18:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:19:08 - mmengine - INFO - Epoch(train) [132][50/293] lr: 5.000000e-04 eta: 2:46:19 time: 0.513335 data_time: 0.087458 memory: 13365 loss_kpt: 0.015846 acc_pose: 0.668900 loss: 0.015846 2022/09/19 23:19:33 - mmengine - INFO - Epoch(train) [132][100/293] lr: 5.000000e-04 eta: 2:45:59 time: 0.488029 data_time: 0.074948 memory: 13365 loss_kpt: 0.015654 acc_pose: 0.717166 loss: 0.015654 2022/09/19 23:19:57 - mmengine - INFO - Epoch(train) [132][150/293] lr: 5.000000e-04 eta: 2:45:39 time: 0.493826 data_time: 0.074085 memory: 13365 loss_kpt: 0.015857 acc_pose: 0.688388 loss: 0.015857 2022/09/19 23:20:22 - mmengine - INFO - Epoch(train) [132][200/293] lr: 5.000000e-04 eta: 2:45:19 time: 0.485148 data_time: 0.070963 memory: 13365 loss_kpt: 0.015902 acc_pose: 0.617832 loss: 0.015902 2022/09/19 23:20:47 - mmengine - INFO - Epoch(train) [132][250/293] lr: 5.000000e-04 eta: 2:45:00 time: 0.511895 data_time: 0.076017 memory: 13365 loss_kpt: 0.016192 acc_pose: 0.689204 loss: 0.016192 2022/09/19 23:21:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:21:33 - mmengine - INFO - Epoch(train) [133][50/293] lr: 5.000000e-04 eta: 2:44:11 time: 0.498979 data_time: 0.085026 memory: 13365 loss_kpt: 0.016069 acc_pose: 0.601554 loss: 0.016069 2022/09/19 23:21:58 - mmengine - INFO - Epoch(train) [133][100/293] lr: 5.000000e-04 eta: 2:43:51 time: 0.489349 data_time: 0.075741 memory: 13365 loss_kpt: 0.015781 acc_pose: 0.667705 loss: 0.015781 2022/09/19 23:22:23 - mmengine - INFO - Epoch(train) [133][150/293] lr: 5.000000e-04 eta: 2:43:31 time: 0.503380 data_time: 0.081420 memory: 13365 loss_kpt: 0.016308 acc_pose: 0.645150 loss: 0.016308 2022/09/19 23:22:48 - mmengine - INFO - Epoch(train) [133][200/293] lr: 5.000000e-04 eta: 2:43:11 time: 0.488661 data_time: 0.075811 memory: 13365 loss_kpt: 0.015772 acc_pose: 0.680961 loss: 0.015772 2022/09/19 23:23:12 - mmengine - INFO - Epoch(train) [133][250/293] lr: 5.000000e-04 eta: 2:42:51 time: 0.493916 data_time: 0.079268 memory: 13365 loss_kpt: 0.015814 acc_pose: 0.701449 loss: 0.015814 2022/09/19 23:23:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:23:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:23:59 - mmengine - INFO - Epoch(train) [134][50/293] lr: 5.000000e-04 eta: 2:42:03 time: 0.507738 data_time: 0.082355 memory: 13365 loss_kpt: 0.015987 acc_pose: 0.714024 loss: 0.015987 2022/09/19 23:24:23 - mmengine - INFO - Epoch(train) [134][100/293] lr: 5.000000e-04 eta: 2:41:42 time: 0.481141 data_time: 0.079506 memory: 13365 loss_kpt: 0.015629 acc_pose: 0.730016 loss: 0.015629 2022/09/19 23:24:48 - mmengine - INFO - Epoch(train) [134][150/293] lr: 5.000000e-04 eta: 2:41:23 time: 0.502221 data_time: 0.071233 memory: 13365 loss_kpt: 0.016053 acc_pose: 0.661524 loss: 0.016053 2022/09/19 23:25:13 - mmengine - INFO - Epoch(train) [134][200/293] lr: 5.000000e-04 eta: 2:41:03 time: 0.492728 data_time: 0.073180 memory: 13365 loss_kpt: 0.015709 acc_pose: 0.688388 loss: 0.015709 2022/09/19 23:25:38 - mmengine - INFO - Epoch(train) [134][250/293] lr: 5.000000e-04 eta: 2:40:43 time: 0.502469 data_time: 0.072708 memory: 13365 loss_kpt: 0.015832 acc_pose: 0.687596 loss: 0.015832 2022/09/19 23:25:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:26:24 - mmengine - INFO - Epoch(train) [135][50/293] lr: 5.000000e-04 eta: 2:39:55 time: 0.502762 data_time: 0.079170 memory: 13365 loss_kpt: 0.016034 acc_pose: 0.725234 loss: 0.016034 2022/09/19 23:26:49 - mmengine - INFO - Epoch(train) [135][100/293] lr: 5.000000e-04 eta: 2:39:35 time: 0.490678 data_time: 0.076461 memory: 13365 loss_kpt: 0.015680 acc_pose: 0.683428 loss: 0.015680 2022/09/19 23:27:14 - mmengine - INFO - Epoch(train) [135][150/293] lr: 5.000000e-04 eta: 2:39:15 time: 0.504702 data_time: 0.078523 memory: 13365 loss_kpt: 0.015712 acc_pose: 0.652401 loss: 0.015712 2022/09/19 23:27:39 - mmengine - INFO - Epoch(train) [135][200/293] lr: 5.000000e-04 eta: 2:38:56 time: 0.510595 data_time: 0.078169 memory: 13365 loss_kpt: 0.015680 acc_pose: 0.721853 loss: 0.015680 2022/09/19 23:28:04 - mmengine - INFO - Epoch(train) [135][250/293] lr: 5.000000e-04 eta: 2:38:36 time: 0.494816 data_time: 0.070274 memory: 13365 loss_kpt: 0.015771 acc_pose: 0.652857 loss: 0.015771 2022/09/19 23:28:26 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:28:51 - mmengine - INFO - Epoch(train) [136][50/293] lr: 5.000000e-04 eta: 2:37:47 time: 0.502944 data_time: 0.081765 memory: 13365 loss_kpt: 0.015867 acc_pose: 0.669481 loss: 0.015867 2022/09/19 23:29:16 - mmengine - INFO - Epoch(train) [136][100/293] lr: 5.000000e-04 eta: 2:37:28 time: 0.506347 data_time: 0.071036 memory: 13365 loss_kpt: 0.015715 acc_pose: 0.665542 loss: 0.015715 2022/09/19 23:29:41 - mmengine - INFO - Epoch(train) [136][150/293] lr: 5.000000e-04 eta: 2:37:08 time: 0.496077 data_time: 0.076726 memory: 13365 loss_kpt: 0.015959 acc_pose: 0.640909 loss: 0.015959 2022/09/19 23:30:06 - mmengine - INFO - Epoch(train) [136][200/293] lr: 5.000000e-04 eta: 2:36:48 time: 0.504354 data_time: 0.076496 memory: 13365 loss_kpt: 0.015469 acc_pose: 0.646801 loss: 0.015469 2022/09/19 23:30:31 - mmengine - INFO - Epoch(train) [136][250/293] lr: 5.000000e-04 eta: 2:36:28 time: 0.489625 data_time: 0.074378 memory: 13365 loss_kpt: 0.015766 acc_pose: 0.752249 loss: 0.015766 2022/09/19 23:30:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:31:17 - mmengine - INFO - Epoch(train) [137][50/293] lr: 5.000000e-04 eta: 2:35:40 time: 0.507455 data_time: 0.087089 memory: 13365 loss_kpt: 0.016025 acc_pose: 0.669464 loss: 0.016025 2022/09/19 23:31:42 - mmengine - INFO - Epoch(train) [137][100/293] lr: 5.000000e-04 eta: 2:35:20 time: 0.488956 data_time: 0.068868 memory: 13365 loss_kpt: 0.015546 acc_pose: 0.664241 loss: 0.015546 2022/09/19 23:32:06 - mmengine - INFO - Epoch(train) [137][150/293] lr: 5.000000e-04 eta: 2:35:00 time: 0.496043 data_time: 0.075515 memory: 13365 loss_kpt: 0.015825 acc_pose: 0.669244 loss: 0.015825 2022/09/19 23:32:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:32:31 - mmengine - INFO - Epoch(train) [137][200/293] lr: 5.000000e-04 eta: 2:34:40 time: 0.491948 data_time: 0.073835 memory: 13365 loss_kpt: 0.015968 acc_pose: 0.686722 loss: 0.015968 2022/09/19 23:32:56 - mmengine - INFO - Epoch(train) [137][250/293] lr: 5.000000e-04 eta: 2:34:21 time: 0.506700 data_time: 0.075521 memory: 13365 loss_kpt: 0.016205 acc_pose: 0.673257 loss: 0.016205 2022/09/19 23:33:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:33:43 - mmengine - INFO - Epoch(train) [138][50/293] lr: 5.000000e-04 eta: 2:33:32 time: 0.496531 data_time: 0.082923 memory: 13365 loss_kpt: 0.015461 acc_pose: 0.693803 loss: 0.015461 2022/09/19 23:34:07 - mmengine - INFO - Epoch(train) [138][100/293] lr: 5.000000e-04 eta: 2:33:12 time: 0.489203 data_time: 0.071133 memory: 13365 loss_kpt: 0.015875 acc_pose: 0.714673 loss: 0.015875 2022/09/19 23:34:32 - mmengine - INFO - Epoch(train) [138][150/293] lr: 5.000000e-04 eta: 2:32:52 time: 0.489166 data_time: 0.074981 memory: 13365 loss_kpt: 0.015426 acc_pose: 0.676394 loss: 0.015426 2022/09/19 23:34:57 - mmengine - INFO - Epoch(train) [138][200/293] lr: 5.000000e-04 eta: 2:32:32 time: 0.498490 data_time: 0.075288 memory: 13365 loss_kpt: 0.015726 acc_pose: 0.683466 loss: 0.015726 2022/09/19 23:35:21 - mmengine - INFO - Epoch(train) [138][250/293] lr: 5.000000e-04 eta: 2:32:12 time: 0.494993 data_time: 0.073817 memory: 13365 loss_kpt: 0.015744 acc_pose: 0.644797 loss: 0.015744 2022/09/19 23:35:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:36:07 - mmengine - INFO - Epoch(train) [139][50/293] lr: 5.000000e-04 eta: 2:31:24 time: 0.498660 data_time: 0.086560 memory: 13365 loss_kpt: 0.015778 acc_pose: 0.709503 loss: 0.015778 2022/09/19 23:36:32 - mmengine - INFO - Epoch(train) [139][100/293] lr: 5.000000e-04 eta: 2:31:04 time: 0.490077 data_time: 0.076051 memory: 13365 loss_kpt: 0.015755 acc_pose: 0.648756 loss: 0.015755 2022/09/19 23:36:56 - mmengine - INFO - Epoch(train) [139][150/293] lr: 5.000000e-04 eta: 2:30:44 time: 0.493823 data_time: 0.070948 memory: 13365 loss_kpt: 0.015670 acc_pose: 0.661100 loss: 0.015670 2022/09/19 23:37:21 - mmengine - INFO - Epoch(train) [139][200/293] lr: 5.000000e-04 eta: 2:30:24 time: 0.500036 data_time: 0.075529 memory: 13365 loss_kpt: 0.015803 acc_pose: 0.636565 loss: 0.015803 2022/09/19 23:37:46 - mmengine - INFO - Epoch(train) [139][250/293] lr: 5.000000e-04 eta: 2:30:04 time: 0.499482 data_time: 0.079379 memory: 13365 loss_kpt: 0.015589 acc_pose: 0.659474 loss: 0.015589 2022/09/19 23:38:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:38:34 - mmengine - INFO - Epoch(train) [140][50/293] lr: 5.000000e-04 eta: 2:29:17 time: 0.506917 data_time: 0.082232 memory: 13365 loss_kpt: 0.015361 acc_pose: 0.658363 loss: 0.015361 2022/09/19 23:38:59 - mmengine - INFO - Epoch(train) [140][100/293] lr: 5.000000e-04 eta: 2:28:57 time: 0.498455 data_time: 0.080558 memory: 13365 loss_kpt: 0.016134 acc_pose: 0.622640 loss: 0.016134 2022/09/19 23:39:23 - mmengine - INFO - Epoch(train) [140][150/293] lr: 5.000000e-04 eta: 2:28:37 time: 0.489957 data_time: 0.070258 memory: 13365 loss_kpt: 0.016059 acc_pose: 0.715940 loss: 0.016059 2022/09/19 23:39:48 - mmengine - INFO - Epoch(train) [140][200/293] lr: 5.000000e-04 eta: 2:28:17 time: 0.495455 data_time: 0.074633 memory: 13365 loss_kpt: 0.015812 acc_pose: 0.672940 loss: 0.015812 2022/09/19 23:40:13 - mmengine - INFO - Epoch(train) [140][250/293] lr: 5.000000e-04 eta: 2:27:57 time: 0.506598 data_time: 0.071316 memory: 13365 loss_kpt: 0.015722 acc_pose: 0.663901 loss: 0.015722 2022/09/19 23:40:25 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:40:34 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:40:34 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/09/19 23:40:47 - mmengine - INFO - Epoch(val) [140][50/407] eta: 0:00:57 time: 0.161062 data_time: 0.027350 memory: 13365 2022/09/19 23:40:54 - mmengine - INFO - Epoch(val) [140][100/407] eta: 0:00:44 time: 0.143504 data_time: 0.010535 memory: 2189 2022/09/19 23:41:02 - mmengine - INFO - Epoch(val) [140][150/407] eta: 0:00:38 time: 0.151365 data_time: 0.014302 memory: 2189 2022/09/19 23:41:09 - mmengine - INFO - Epoch(val) [140][200/407] eta: 0:00:30 time: 0.146553 data_time: 0.013361 memory: 2189 2022/09/19 23:41:16 - mmengine - INFO - Epoch(val) [140][250/407] eta: 0:00:23 time: 0.150744 data_time: 0.012836 memory: 2189 2022/09/19 23:41:24 - mmengine - INFO - Epoch(val) [140][300/407] eta: 0:00:15 time: 0.143956 data_time: 0.011032 memory: 2189 2022/09/19 23:41:31 - mmengine - INFO - Epoch(val) [140][350/407] eta: 0:00:08 time: 0.155637 data_time: 0.022983 memory: 2189 2022/09/19 23:41:38 - mmengine - INFO - Epoch(val) [140][400/407] eta: 0:00:00 time: 0.139203 data_time: 0.009476 memory: 2189 2022/09/19 23:42:10 - mmengine - INFO - Evaluating CocoMetric... 2022/09/19 23:42:23 - mmengine - INFO - Epoch(val) [140][407/407] coco/AP: 0.599767 coco/AP .5: 0.848574 coco/AP .75: 0.673049 coco/AP (M): 0.573393 coco/AP (L): 0.658188 coco/AR: 0.663303 coco/AR .5: 0.894364 coco/AR .75: 0.733312 coco/AR (M): 0.625102 coco/AR (L): 0.717986 2022/09/19 23:42:49 - mmengine - INFO - Epoch(train) [141][50/293] lr: 5.000000e-04 eta: 2:27:10 time: 0.514661 data_time: 0.088894 memory: 13365 loss_kpt: 0.015985 acc_pose: 0.709018 loss: 0.015985 2022/09/19 23:43:13 - mmengine - INFO - Epoch(train) [141][100/293] lr: 5.000000e-04 eta: 2:26:49 time: 0.486404 data_time: 0.071536 memory: 13365 loss_kpt: 0.015626 acc_pose: 0.726932 loss: 0.015626 2022/09/19 23:43:38 - mmengine - INFO - Epoch(train) [141][150/293] lr: 5.000000e-04 eta: 2:26:30 time: 0.503958 data_time: 0.073284 memory: 13365 loss_kpt: 0.015845 acc_pose: 0.674742 loss: 0.015845 2022/09/19 23:44:03 - mmengine - INFO - Epoch(train) [141][200/293] lr: 5.000000e-04 eta: 2:26:10 time: 0.491179 data_time: 0.071131 memory: 13365 loss_kpt: 0.015887 acc_pose: 0.654695 loss: 0.015887 2022/09/19 23:44:28 - mmengine - INFO - Epoch(train) [141][250/293] lr: 5.000000e-04 eta: 2:25:50 time: 0.496019 data_time: 0.072984 memory: 13365 loss_kpt: 0.015362 acc_pose: 0.713227 loss: 0.015362 2022/09/19 23:44:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:45:14 - mmengine - INFO - Epoch(train) [142][50/293] lr: 5.000000e-04 eta: 2:25:02 time: 0.509925 data_time: 0.091145 memory: 13365 loss_kpt: 0.015798 acc_pose: 0.656738 loss: 0.015798 2022/09/19 23:45:39 - mmengine - INFO - Epoch(train) [142][100/293] lr: 5.000000e-04 eta: 2:24:42 time: 0.491274 data_time: 0.071238 memory: 13365 loss_kpt: 0.015876 acc_pose: 0.694981 loss: 0.015876 2022/09/19 23:46:03 - mmengine - INFO - Epoch(train) [142][150/293] lr: 5.000000e-04 eta: 2:24:22 time: 0.486287 data_time: 0.070734 memory: 13365 loss_kpt: 0.015715 acc_pose: 0.670609 loss: 0.015715 2022/09/19 23:46:28 - mmengine - INFO - Epoch(train) [142][200/293] lr: 5.000000e-04 eta: 2:24:02 time: 0.490305 data_time: 0.072186 memory: 13365 loss_kpt: 0.015569 acc_pose: 0.656305 loss: 0.015569 2022/09/19 23:46:52 - mmengine - INFO - Epoch(train) [142][250/293] lr: 5.000000e-04 eta: 2:23:41 time: 0.490425 data_time: 0.072361 memory: 13365 loss_kpt: 0.015750 acc_pose: 0.633025 loss: 0.015750 2022/09/19 23:47:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:47:38 - mmengine - INFO - Epoch(train) [143][50/293] lr: 5.000000e-04 eta: 2:22:54 time: 0.500042 data_time: 0.091298 memory: 13365 loss_kpt: 0.015690 acc_pose: 0.626373 loss: 0.015690 2022/09/19 23:48:03 - mmengine - INFO - Epoch(train) [143][100/293] lr: 5.000000e-04 eta: 2:22:34 time: 0.493384 data_time: 0.071299 memory: 13365 loss_kpt: 0.015761 acc_pose: 0.627177 loss: 0.015761 2022/09/19 23:48:28 - mmengine - INFO - Epoch(train) [143][150/293] lr: 5.000000e-04 eta: 2:22:14 time: 0.490551 data_time: 0.068933 memory: 13365 loss_kpt: 0.015717 acc_pose: 0.705241 loss: 0.015717 2022/09/19 23:48:52 - mmengine - INFO - Epoch(train) [143][200/293] lr: 5.000000e-04 eta: 2:21:54 time: 0.494627 data_time: 0.080450 memory: 13365 loss_kpt: 0.015566 acc_pose: 0.630182 loss: 0.015566 2022/09/19 23:49:17 - mmengine - INFO - Epoch(train) [143][250/293] lr: 5.000000e-04 eta: 2:21:34 time: 0.491922 data_time: 0.072611 memory: 13365 loss_kpt: 0.015495 acc_pose: 0.627430 loss: 0.015495 2022/09/19 23:49:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:50:04 - mmengine - INFO - Epoch(train) [144][50/293] lr: 5.000000e-04 eta: 2:20:47 time: 0.510999 data_time: 0.089783 memory: 13365 loss_kpt: 0.015421 acc_pose: 0.640737 loss: 0.015421 2022/09/19 23:50:29 - mmengine - INFO - Epoch(train) [144][100/293] lr: 5.000000e-04 eta: 2:20:27 time: 0.497994 data_time: 0.080286 memory: 13365 loss_kpt: 0.015651 acc_pose: 0.652422 loss: 0.015651 2022/09/19 23:50:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:50:54 - mmengine - INFO - Epoch(train) [144][150/293] lr: 5.000000e-04 eta: 2:20:07 time: 0.497713 data_time: 0.071271 memory: 13365 loss_kpt: 0.015625 acc_pose: 0.650883 loss: 0.015625 2022/09/19 23:51:19 - mmengine - INFO - Epoch(train) [144][200/293] lr: 5.000000e-04 eta: 2:19:47 time: 0.502394 data_time: 0.076445 memory: 13365 loss_kpt: 0.015754 acc_pose: 0.655527 loss: 0.015754 2022/09/19 23:51:43 - mmengine - INFO - Epoch(train) [144][250/293] lr: 5.000000e-04 eta: 2:19:26 time: 0.490751 data_time: 0.069596 memory: 13365 loss_kpt: 0.015895 acc_pose: 0.611236 loss: 0.015895 2022/09/19 23:52:04 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:52:29 - mmengine - INFO - Epoch(train) [145][50/293] lr: 5.000000e-04 eta: 2:18:39 time: 0.502283 data_time: 0.082803 memory: 13365 loss_kpt: 0.015679 acc_pose: 0.662535 loss: 0.015679 2022/09/19 23:52:53 - mmengine - INFO - Epoch(train) [145][100/293] lr: 5.000000e-04 eta: 2:18:19 time: 0.491255 data_time: 0.072600 memory: 13365 loss_kpt: 0.015410 acc_pose: 0.643628 loss: 0.015410 2022/09/19 23:53:18 - mmengine - INFO - Epoch(train) [145][150/293] lr: 5.000000e-04 eta: 2:17:59 time: 0.490143 data_time: 0.073783 memory: 13365 loss_kpt: 0.016086 acc_pose: 0.663475 loss: 0.016086 2022/09/19 23:53:43 - mmengine - INFO - Epoch(train) [145][200/293] lr: 5.000000e-04 eta: 2:17:39 time: 0.500614 data_time: 0.075291 memory: 13365 loss_kpt: 0.015887 acc_pose: 0.690622 loss: 0.015887 2022/09/19 23:54:07 - mmengine - INFO - Epoch(train) [145][250/293] lr: 5.000000e-04 eta: 2:17:19 time: 0.490256 data_time: 0.080365 memory: 13365 loss_kpt: 0.015760 acc_pose: 0.648607 loss: 0.015760 2022/09/19 23:54:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:54:54 - mmengine - INFO - Epoch(train) [146][50/293] lr: 5.000000e-04 eta: 2:16:32 time: 0.512548 data_time: 0.085976 memory: 13365 loss_kpt: 0.015617 acc_pose: 0.682439 loss: 0.015617 2022/09/19 23:55:18 - mmengine - INFO - Epoch(train) [146][100/293] lr: 5.000000e-04 eta: 2:16:12 time: 0.487977 data_time: 0.070675 memory: 13365 loss_kpt: 0.016001 acc_pose: 0.706256 loss: 0.016001 2022/09/19 23:55:43 - mmengine - INFO - Epoch(train) [146][150/293] lr: 5.000000e-04 eta: 2:15:52 time: 0.494738 data_time: 0.074479 memory: 13365 loss_kpt: 0.015577 acc_pose: 0.712122 loss: 0.015577 2022/09/19 23:56:08 - mmengine - INFO - Epoch(train) [146][200/293] lr: 5.000000e-04 eta: 2:15:31 time: 0.496918 data_time: 0.070511 memory: 13365 loss_kpt: 0.015613 acc_pose: 0.657968 loss: 0.015613 2022/09/19 23:56:33 - mmengine - INFO - Epoch(train) [146][250/293] lr: 5.000000e-04 eta: 2:15:11 time: 0.494135 data_time: 0.077309 memory: 13365 loss_kpt: 0.015599 acc_pose: 0.703261 loss: 0.015599 2022/09/19 23:56:54 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:57:19 - mmengine - INFO - Epoch(train) [147][50/293] lr: 5.000000e-04 eta: 2:14:25 time: 0.514832 data_time: 0.086840 memory: 13365 loss_kpt: 0.015429 acc_pose: 0.681356 loss: 0.015429 2022/09/19 23:57:44 - mmengine - INFO - Epoch(train) [147][100/293] lr: 5.000000e-04 eta: 2:14:04 time: 0.486087 data_time: 0.071345 memory: 13365 loss_kpt: 0.015781 acc_pose: 0.661982 loss: 0.015781 2022/09/19 23:58:09 - mmengine - INFO - Epoch(train) [147][150/293] lr: 5.000000e-04 eta: 2:13:44 time: 0.500412 data_time: 0.070151 memory: 13365 loss_kpt: 0.015697 acc_pose: 0.656308 loss: 0.015697 2022/09/19 23:58:33 - mmengine - INFO - Epoch(train) [147][200/293] lr: 5.000000e-04 eta: 2:13:24 time: 0.491976 data_time: 0.082704 memory: 13365 loss_kpt: 0.015819 acc_pose: 0.671111 loss: 0.015819 2022/09/19 23:58:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:58:58 - mmengine - INFO - Epoch(train) [147][250/293] lr: 5.000000e-04 eta: 2:13:04 time: 0.495080 data_time: 0.075697 memory: 13365 loss_kpt: 0.015573 acc_pose: 0.713283 loss: 0.015573 2022/09/19 23:59:19 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/19 23:59:44 - mmengine - INFO - Epoch(train) [148][50/293] lr: 5.000000e-04 eta: 2:12:17 time: 0.500720 data_time: 0.087656 memory: 13365 loss_kpt: 0.015296 acc_pose: 0.704461 loss: 0.015296 2022/09/20 00:00:11 - mmengine - INFO - Epoch(train) [148][100/293] lr: 5.000000e-04 eta: 2:11:58 time: 0.538135 data_time: 0.079424 memory: 13365 loss_kpt: 0.015773 acc_pose: 0.639931 loss: 0.015773 2022/09/20 00:00:36 - mmengine - INFO - Epoch(train) [148][150/293] lr: 5.000000e-04 eta: 2:11:38 time: 0.489045 data_time: 0.069230 memory: 13365 loss_kpt: 0.015872 acc_pose: 0.630331 loss: 0.015872 2022/09/20 00:01:01 - mmengine - INFO - Epoch(train) [148][200/293] lr: 5.000000e-04 eta: 2:11:18 time: 0.509193 data_time: 0.079962 memory: 13365 loss_kpt: 0.015553 acc_pose: 0.682404 loss: 0.015553 2022/09/20 00:01:26 - mmengine - INFO - Epoch(train) [148][250/293] lr: 5.000000e-04 eta: 2:10:57 time: 0.491942 data_time: 0.072937 memory: 13365 loss_kpt: 0.015529 acc_pose: 0.679778 loss: 0.015529 2022/09/20 00:01:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:02:12 - mmengine - INFO - Epoch(train) [149][50/293] lr: 5.000000e-04 eta: 2:10:11 time: 0.502136 data_time: 0.081330 memory: 13365 loss_kpt: 0.015264 acc_pose: 0.753318 loss: 0.015264 2022/09/20 00:02:37 - mmengine - INFO - Epoch(train) [149][100/293] lr: 5.000000e-04 eta: 2:09:51 time: 0.502714 data_time: 0.072694 memory: 13365 loss_kpt: 0.015730 acc_pose: 0.716958 loss: 0.015730 2022/09/20 00:03:01 - mmengine - INFO - Epoch(train) [149][150/293] lr: 5.000000e-04 eta: 2:09:31 time: 0.491431 data_time: 0.069631 memory: 13365 loss_kpt: 0.015684 acc_pose: 0.721285 loss: 0.015684 2022/09/20 00:03:26 - mmengine - INFO - Epoch(train) [149][200/293] lr: 5.000000e-04 eta: 2:09:10 time: 0.487614 data_time: 0.074264 memory: 13365 loss_kpt: 0.015511 acc_pose: 0.658657 loss: 0.015511 2022/09/20 00:03:51 - mmengine - INFO - Epoch(train) [149][250/293] lr: 5.000000e-04 eta: 2:08:50 time: 0.512383 data_time: 0.072501 memory: 13365 loss_kpt: 0.015766 acc_pose: 0.682986 loss: 0.015766 2022/09/20 00:04:12 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:04:38 - mmengine - INFO - Epoch(train) [150][50/293] lr: 5.000000e-04 eta: 2:08:04 time: 0.506985 data_time: 0.089301 memory: 13365 loss_kpt: 0.015770 acc_pose: 0.672464 loss: 0.015770 2022/09/20 00:05:02 - mmengine - INFO - Epoch(train) [150][100/293] lr: 5.000000e-04 eta: 2:07:44 time: 0.489836 data_time: 0.071153 memory: 13365 loss_kpt: 0.016093 acc_pose: 0.643538 loss: 0.016093 2022/09/20 00:05:27 - mmengine - INFO - Epoch(train) [150][150/293] lr: 5.000000e-04 eta: 2:07:24 time: 0.501807 data_time: 0.071327 memory: 13365 loss_kpt: 0.015539 acc_pose: 0.707452 loss: 0.015539 2022/09/20 00:05:53 - mmengine - INFO - Epoch(train) [150][200/293] lr: 5.000000e-04 eta: 2:07:04 time: 0.505605 data_time: 0.072515 memory: 13365 loss_kpt: 0.015789 acc_pose: 0.641439 loss: 0.015789 2022/09/20 00:06:17 - mmengine - INFO - Epoch(train) [150][250/293] lr: 5.000000e-04 eta: 2:06:43 time: 0.487197 data_time: 0.079851 memory: 13365 loss_kpt: 0.015640 acc_pose: 0.676021 loss: 0.015640 2022/09/20 00:06:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:06:38 - mmengine - INFO - Saving checkpoint at 150 epochs 2022/09/20 00:06:50 - mmengine - INFO - Epoch(val) [150][50/407] eta: 0:00:54 time: 0.152190 data_time: 0.020251 memory: 13365 2022/09/20 00:06:58 - mmengine - INFO - Epoch(val) [150][100/407] eta: 0:00:46 time: 0.152634 data_time: 0.020582 memory: 2189 2022/09/20 00:07:05 - mmengine - INFO - Epoch(val) [150][150/407] eta: 0:00:37 time: 0.145426 data_time: 0.013036 memory: 2189 2022/09/20 00:07:12 - mmengine - INFO - Epoch(val) [150][200/407] eta: 0:00:29 time: 0.144863 data_time: 0.011322 memory: 2189 2022/09/20 00:07:19 - mmengine - INFO - Epoch(val) [150][250/407] eta: 0:00:23 time: 0.147906 data_time: 0.013188 memory: 2189 2022/09/20 00:07:27 - mmengine - INFO - Epoch(val) [150][300/407] eta: 0:00:15 time: 0.142840 data_time: 0.010897 memory: 2189 2022/09/20 00:07:34 - mmengine - INFO - Epoch(val) [150][350/407] eta: 0:00:08 time: 0.147712 data_time: 0.014742 memory: 2189 2022/09/20 00:07:41 - mmengine - INFO - Epoch(val) [150][400/407] eta: 0:00:00 time: 0.141541 data_time: 0.008961 memory: 2189 2022/09/20 00:08:13 - mmengine - INFO - Evaluating CocoMetric... 2022/09/20 00:08:25 - mmengine - INFO - Epoch(val) [150][407/407] coco/AP: 0.602835 coco/AP .5: 0.849576 coco/AP .75: 0.676195 coco/AP (M): 0.574390 coco/AP (L): 0.663600 coco/AR: 0.665287 coco/AR .5: 0.895151 coco/AR .75: 0.734257 coco/AR (M): 0.624911 coco/AR (L): 0.722668 2022/09/20 00:08:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_130.pth is removed 2022/09/20 00:08:28 - mmengine - INFO - The best checkpoint with 0.6028 coco/AP at 150 epoch is saved to best_coco/AP_epoch_150.pth. 2022/09/20 00:08:53 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:08:53 - mmengine - INFO - Epoch(train) [151][50/293] lr: 5.000000e-04 eta: 2:05:57 time: 0.499785 data_time: 0.081792 memory: 13365 loss_kpt: 0.016057 acc_pose: 0.626960 loss: 0.016057 2022/09/20 00:09:18 - mmengine - INFO - Epoch(train) [151][100/293] lr: 5.000000e-04 eta: 2:05:37 time: 0.496626 data_time: 0.072411 memory: 13365 loss_kpt: 0.016142 acc_pose: 0.653191 loss: 0.016142 2022/09/20 00:09:43 - mmengine - INFO - Epoch(train) [151][150/293] lr: 5.000000e-04 eta: 2:05:17 time: 0.502167 data_time: 0.076022 memory: 13365 loss_kpt: 0.015776 acc_pose: 0.711531 loss: 0.015776 2022/09/20 00:10:08 - mmengine - INFO - Epoch(train) [151][200/293] lr: 5.000000e-04 eta: 2:04:56 time: 0.495484 data_time: 0.069427 memory: 13365 loss_kpt: 0.015829 acc_pose: 0.631647 loss: 0.015829 2022/09/20 00:10:32 - mmengine - INFO - Epoch(train) [151][250/293] lr: 5.000000e-04 eta: 2:04:36 time: 0.489138 data_time: 0.078364 memory: 13365 loss_kpt: 0.015503 acc_pose: 0.626952 loss: 0.015503 2022/09/20 00:10:53 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:11:18 - mmengine - INFO - Epoch(train) [152][50/293] lr: 5.000000e-04 eta: 2:03:50 time: 0.501201 data_time: 0.085654 memory: 13365 loss_kpt: 0.015807 acc_pose: 0.667834 loss: 0.015807 2022/09/20 00:11:43 - mmengine - INFO - Epoch(train) [152][100/293] lr: 5.000000e-04 eta: 2:03:30 time: 0.502044 data_time: 0.070198 memory: 13365 loss_kpt: 0.015691 acc_pose: 0.705018 loss: 0.015691 2022/09/20 00:12:08 - mmengine - INFO - Epoch(train) [152][150/293] lr: 5.000000e-04 eta: 2:03:09 time: 0.492269 data_time: 0.072603 memory: 13365 loss_kpt: 0.015260 acc_pose: 0.614837 loss: 0.015260 2022/09/20 00:12:33 - mmengine - INFO - Epoch(train) [152][200/293] lr: 5.000000e-04 eta: 2:02:49 time: 0.492188 data_time: 0.080483 memory: 13365 loss_kpt: 0.015407 acc_pose: 0.653029 loss: 0.015407 2022/09/20 00:12:57 - mmengine - INFO - Epoch(train) [152][250/293] lr: 5.000000e-04 eta: 2:02:28 time: 0.490065 data_time: 0.070118 memory: 13365 loss_kpt: 0.015848 acc_pose: 0.654321 loss: 0.015848 2022/09/20 00:13:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:13:44 - mmengine - INFO - Epoch(train) [153][50/293] lr: 5.000000e-04 eta: 2:01:43 time: 0.502615 data_time: 0.081988 memory: 13365 loss_kpt: 0.015394 acc_pose: 0.707010 loss: 0.015394 2022/09/20 00:14:08 - mmengine - INFO - Epoch(train) [153][100/293] lr: 5.000000e-04 eta: 2:01:22 time: 0.493895 data_time: 0.077215 memory: 13365 loss_kpt: 0.015520 acc_pose: 0.668947 loss: 0.015520 2022/09/20 00:14:34 - mmengine - INFO - Epoch(train) [153][150/293] lr: 5.000000e-04 eta: 2:01:02 time: 0.503794 data_time: 0.078897 memory: 13365 loss_kpt: 0.015777 acc_pose: 0.682250 loss: 0.015777 2022/09/20 00:14:59 - mmengine - INFO - Epoch(train) [153][200/293] lr: 5.000000e-04 eta: 2:00:42 time: 0.517770 data_time: 0.076662 memory: 13365 loss_kpt: 0.015222 acc_pose: 0.691492 loss: 0.015222 2022/09/20 00:15:24 - mmengine - INFO - Epoch(train) [153][250/293] lr: 5.000000e-04 eta: 2:00:22 time: 0.487440 data_time: 0.072533 memory: 13365 loss_kpt: 0.015498 acc_pose: 0.682520 loss: 0.015498 2022/09/20 00:15:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:16:10 - mmengine - INFO - Epoch(train) [154][50/293] lr: 5.000000e-04 eta: 1:59:36 time: 0.506816 data_time: 0.086163 memory: 13365 loss_kpt: 0.015582 acc_pose: 0.683942 loss: 0.015582 2022/09/20 00:16:35 - mmengine - INFO - Epoch(train) [154][100/293] lr: 5.000000e-04 eta: 1:59:16 time: 0.508023 data_time: 0.080373 memory: 13365 loss_kpt: 0.015999 acc_pose: 0.639308 loss: 0.015999 2022/09/20 00:17:00 - mmengine - INFO - Epoch(train) [154][150/293] lr: 5.000000e-04 eta: 1:58:56 time: 0.497059 data_time: 0.075687 memory: 13365 loss_kpt: 0.015443 acc_pose: 0.688941 loss: 0.015443 2022/09/20 00:17:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:17:25 - mmengine - INFO - Epoch(train) [154][200/293] lr: 5.000000e-04 eta: 1:58:35 time: 0.498817 data_time: 0.074017 memory: 13365 loss_kpt: 0.015580 acc_pose: 0.634398 loss: 0.015580 2022/09/20 00:17:50 - mmengine - INFO - Epoch(train) [154][250/293] lr: 5.000000e-04 eta: 1:58:15 time: 0.490437 data_time: 0.085735 memory: 13365 loss_kpt: 0.015274 acc_pose: 0.694807 loss: 0.015274 2022/09/20 00:18:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:18:37 - mmengine - INFO - Epoch(train) [155][50/293] lr: 5.000000e-04 eta: 1:57:29 time: 0.514472 data_time: 0.088638 memory: 13365 loss_kpt: 0.015369 acc_pose: 0.639429 loss: 0.015369 2022/09/20 00:19:01 - mmengine - INFO - Epoch(train) [155][100/293] lr: 5.000000e-04 eta: 1:57:09 time: 0.494466 data_time: 0.072378 memory: 13365 loss_kpt: 0.015477 acc_pose: 0.662091 loss: 0.015477 2022/09/20 00:19:26 - mmengine - INFO - Epoch(train) [155][150/293] lr: 5.000000e-04 eta: 1:56:49 time: 0.492564 data_time: 0.083079 memory: 13365 loss_kpt: 0.015508 acc_pose: 0.655984 loss: 0.015508 2022/09/20 00:19:51 - mmengine - INFO - Epoch(train) [155][200/293] lr: 5.000000e-04 eta: 1:56:28 time: 0.498252 data_time: 0.073287 memory: 13365 loss_kpt: 0.015781 acc_pose: 0.741343 loss: 0.015781 2022/09/20 00:20:15 - mmengine - INFO - Epoch(train) [155][250/293] lr: 5.000000e-04 eta: 1:56:08 time: 0.489787 data_time: 0.075677 memory: 13365 loss_kpt: 0.015422 acc_pose: 0.696414 loss: 0.015422 2022/09/20 00:20:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:21:01 - mmengine - INFO - Epoch(train) [156][50/293] lr: 5.000000e-04 eta: 1:55:22 time: 0.493586 data_time: 0.081802 memory: 13365 loss_kpt: 0.015611 acc_pose: 0.707309 loss: 0.015611 2022/09/20 00:21:26 - mmengine - INFO - Epoch(train) [156][100/293] lr: 5.000000e-04 eta: 1:55:02 time: 0.499806 data_time: 0.073766 memory: 13365 loss_kpt: 0.015630 acc_pose: 0.718763 loss: 0.015630 2022/09/20 00:21:50 - mmengine - INFO - Epoch(train) [156][150/293] lr: 5.000000e-04 eta: 1:54:41 time: 0.489035 data_time: 0.078130 memory: 13365 loss_kpt: 0.015581 acc_pose: 0.676616 loss: 0.015581 2022/09/20 00:22:15 - mmengine - INFO - Epoch(train) [156][200/293] lr: 5.000000e-04 eta: 1:54:21 time: 0.481428 data_time: 0.073335 memory: 13365 loss_kpt: 0.015517 acc_pose: 0.699003 loss: 0.015517 2022/09/20 00:22:40 - mmengine - INFO - Epoch(train) [156][250/293] lr: 5.000000e-04 eta: 1:54:00 time: 0.503894 data_time: 0.076284 memory: 13365 loss_kpt: 0.015466 acc_pose: 0.630594 loss: 0.015466 2022/09/20 00:23:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:23:26 - mmengine - INFO - Epoch(train) [157][50/293] lr: 5.000000e-04 eta: 1:53:15 time: 0.504226 data_time: 0.083908 memory: 13365 loss_kpt: 0.015603 acc_pose: 0.621519 loss: 0.015603 2022/09/20 00:23:51 - mmengine - INFO - Epoch(train) [157][100/293] lr: 5.000000e-04 eta: 1:52:55 time: 0.501984 data_time: 0.070878 memory: 13365 loss_kpt: 0.015643 acc_pose: 0.657051 loss: 0.015643 2022/09/20 00:24:16 - mmengine - INFO - Epoch(train) [157][150/293] lr: 5.000000e-04 eta: 1:52:34 time: 0.492380 data_time: 0.069480 memory: 13365 loss_kpt: 0.015675 acc_pose: 0.694912 loss: 0.015675 2022/09/20 00:24:41 - mmengine - INFO - Epoch(train) [157][200/293] lr: 5.000000e-04 eta: 1:52:14 time: 0.500539 data_time: 0.077007 memory: 13365 loss_kpt: 0.015564 acc_pose: 0.702435 loss: 0.015564 2022/09/20 00:25:06 - mmengine - INFO - Epoch(train) [157][250/293] lr: 5.000000e-04 eta: 1:51:54 time: 0.496685 data_time: 0.070211 memory: 13365 loss_kpt: 0.015728 acc_pose: 0.677216 loss: 0.015728 2022/09/20 00:25:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:25:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:25:53 - mmengine - INFO - Epoch(train) [158][50/293] lr: 5.000000e-04 eta: 1:51:09 time: 0.510550 data_time: 0.083340 memory: 13365 loss_kpt: 0.015395 acc_pose: 0.687513 loss: 0.015395 2022/09/20 00:26:18 - mmengine - INFO - Epoch(train) [158][100/293] lr: 5.000000e-04 eta: 1:50:48 time: 0.495447 data_time: 0.068146 memory: 13365 loss_kpt: 0.015644 acc_pose: 0.710915 loss: 0.015644 2022/09/20 00:26:43 - mmengine - INFO - Epoch(train) [158][150/293] lr: 5.000000e-04 eta: 1:50:28 time: 0.504850 data_time: 0.072324 memory: 13365 loss_kpt: 0.015710 acc_pose: 0.690053 loss: 0.015710 2022/09/20 00:27:08 - mmengine - INFO - Epoch(train) [158][200/293] lr: 5.000000e-04 eta: 1:50:07 time: 0.501770 data_time: 0.078128 memory: 13365 loss_kpt: 0.015727 acc_pose: 0.681198 loss: 0.015727 2022/09/20 00:27:33 - mmengine - INFO - Epoch(train) [158][250/293] lr: 5.000000e-04 eta: 1:49:47 time: 0.495243 data_time: 0.070524 memory: 13365 loss_kpt: 0.015782 acc_pose: 0.663467 loss: 0.015782 2022/09/20 00:27:54 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:28:20 - mmengine - INFO - Epoch(train) [159][50/293] lr: 5.000000e-04 eta: 1:49:02 time: 0.517104 data_time: 0.087672 memory: 13365 loss_kpt: 0.015753 acc_pose: 0.659884 loss: 0.015753 2022/09/20 00:28:45 - mmengine - INFO - Epoch(train) [159][100/293] lr: 5.000000e-04 eta: 1:48:42 time: 0.512387 data_time: 0.081258 memory: 13365 loss_kpt: 0.015798 acc_pose: 0.690109 loss: 0.015798 2022/09/20 00:29:10 - mmengine - INFO - Epoch(train) [159][150/293] lr: 5.000000e-04 eta: 1:48:21 time: 0.499067 data_time: 0.074995 memory: 13365 loss_kpt: 0.015774 acc_pose: 0.671849 loss: 0.015774 2022/09/20 00:29:35 - mmengine - INFO - Epoch(train) [159][200/293] lr: 5.000000e-04 eta: 1:48:01 time: 0.495781 data_time: 0.068306 memory: 13365 loss_kpt: 0.015492 acc_pose: 0.702042 loss: 0.015492 2022/09/20 00:29:59 - mmengine - INFO - Epoch(train) [159][250/293] lr: 5.000000e-04 eta: 1:47:40 time: 0.482558 data_time: 0.067458 memory: 13365 loss_kpt: 0.015443 acc_pose: 0.678465 loss: 0.015443 2022/09/20 00:30:20 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:30:46 - mmengine - INFO - Epoch(train) [160][50/293] lr: 5.000000e-04 eta: 1:46:56 time: 0.513173 data_time: 0.083415 memory: 13365 loss_kpt: 0.015544 acc_pose: 0.693556 loss: 0.015544 2022/09/20 00:31:11 - mmengine - INFO - Epoch(train) [160][100/293] lr: 5.000000e-04 eta: 1:46:35 time: 0.489745 data_time: 0.072006 memory: 13365 loss_kpt: 0.015478 acc_pose: 0.643817 loss: 0.015478 2022/09/20 00:31:35 - mmengine - INFO - Epoch(train) [160][150/293] lr: 5.000000e-04 eta: 1:46:14 time: 0.493341 data_time: 0.074116 memory: 13365 loss_kpt: 0.015328 acc_pose: 0.657264 loss: 0.015328 2022/09/20 00:32:00 - mmengine - INFO - Epoch(train) [160][200/293] lr: 5.000000e-04 eta: 1:45:54 time: 0.505047 data_time: 0.078936 memory: 13365 loss_kpt: 0.015565 acc_pose: 0.697890 loss: 0.015565 2022/09/20 00:32:25 - mmengine - INFO - Epoch(train) [160][250/293] lr: 5.000000e-04 eta: 1:45:33 time: 0.492662 data_time: 0.075424 memory: 13365 loss_kpt: 0.015693 acc_pose: 0.709679 loss: 0.015693 2022/09/20 00:32:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:32:46 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/09/20 00:32:58 - mmengine - INFO - Epoch(val) [160][50/407] eta: 0:00:54 time: 0.152541 data_time: 0.018274 memory: 13365 2022/09/20 00:33:05 - mmengine - INFO - Epoch(val) [160][100/407] eta: 0:00:44 time: 0.144760 data_time: 0.012103 memory: 2189 2022/09/20 00:33:12 - mmengine - INFO - Epoch(val) [160][150/407] eta: 0:00:37 time: 0.146368 data_time: 0.014088 memory: 2189 2022/09/20 00:33:20 - mmengine - INFO - Epoch(val) [160][200/407] eta: 0:00:29 time: 0.144839 data_time: 0.011750 memory: 2189 2022/09/20 00:33:27 - mmengine - INFO - Epoch(val) [160][250/407] eta: 0:00:22 time: 0.146439 data_time: 0.010916 memory: 2189 2022/09/20 00:33:35 - mmengine - INFO - Epoch(val) [160][300/407] eta: 0:00:15 time: 0.149505 data_time: 0.016397 memory: 2189 2022/09/20 00:33:42 - mmengine - INFO - Epoch(val) [160][350/407] eta: 0:00:08 time: 0.148395 data_time: 0.014054 memory: 2189 2022/09/20 00:33:49 - mmengine - INFO - Epoch(val) [160][400/407] eta: 0:00:00 time: 0.140735 data_time: 0.009513 memory: 2189 2022/09/20 00:34:21 - mmengine - INFO - Evaluating CocoMetric... 2022/09/20 00:34:34 - mmengine - INFO - Epoch(val) [160][407/407] coco/AP: 0.607775 coco/AP .5: 0.849648 coco/AP .75: 0.687429 coco/AP (M): 0.580067 coco/AP (L): 0.668007 coco/AR: 0.670057 coco/AR .5: 0.894364 coco/AR .75: 0.744962 coco/AR (M): 0.630757 coco/AR (L): 0.726533 2022/09/20 00:34:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_150.pth is removed 2022/09/20 00:34:36 - mmengine - INFO - The best checkpoint with 0.6078 coco/AP at 160 epoch is saved to best_coco/AP_epoch_160.pth. 2022/09/20 00:35:02 - mmengine - INFO - Epoch(train) [161][50/293] lr: 5.000000e-04 eta: 1:44:49 time: 0.501799 data_time: 0.086019 memory: 13365 loss_kpt: 0.015164 acc_pose: 0.684846 loss: 0.015164 2022/09/20 00:35:27 - mmengine - INFO - Epoch(train) [161][100/293] lr: 5.000000e-04 eta: 1:44:28 time: 0.501864 data_time: 0.079939 memory: 13365 loss_kpt: 0.015535 acc_pose: 0.627298 loss: 0.015535 2022/09/20 00:35:37 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:35:52 - mmengine - INFO - Epoch(train) [161][150/293] lr: 5.000000e-04 eta: 1:44:08 time: 0.506195 data_time: 0.074921 memory: 13365 loss_kpt: 0.015621 acc_pose: 0.636198 loss: 0.015621 2022/09/20 00:36:17 - mmengine - INFO - Epoch(train) [161][200/293] lr: 5.000000e-04 eta: 1:43:47 time: 0.491561 data_time: 0.075510 memory: 13365 loss_kpt: 0.015239 acc_pose: 0.690259 loss: 0.015239 2022/09/20 00:36:41 - mmengine - INFO - Epoch(train) [161][250/293] lr: 5.000000e-04 eta: 1:43:27 time: 0.493870 data_time: 0.076294 memory: 13365 loss_kpt: 0.015453 acc_pose: 0.641437 loss: 0.015453 2022/09/20 00:37:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:37:27 - mmengine - INFO - Epoch(train) [162][50/293] lr: 5.000000e-04 eta: 1:42:42 time: 0.498044 data_time: 0.085940 memory: 13365 loss_kpt: 0.015449 acc_pose: 0.656151 loss: 0.015449 2022/09/20 00:37:52 - mmengine - INFO - Epoch(train) [162][100/293] lr: 5.000000e-04 eta: 1:42:21 time: 0.499186 data_time: 0.073946 memory: 13365 loss_kpt: 0.015903 acc_pose: 0.671973 loss: 0.015903 2022/09/20 00:38:16 - mmengine - INFO - Epoch(train) [162][150/293] lr: 5.000000e-04 eta: 1:42:01 time: 0.483051 data_time: 0.071041 memory: 13365 loss_kpt: 0.015447 acc_pose: 0.698205 loss: 0.015447 2022/09/20 00:38:41 - mmengine - INFO - Epoch(train) [162][200/293] lr: 5.000000e-04 eta: 1:41:40 time: 0.491001 data_time: 0.079038 memory: 13365 loss_kpt: 0.015539 acc_pose: 0.730104 loss: 0.015539 2022/09/20 00:39:06 - mmengine - INFO - Epoch(train) [162][250/293] lr: 5.000000e-04 eta: 1:41:20 time: 0.500785 data_time: 0.073211 memory: 13365 loss_kpt: 0.015658 acc_pose: 0.696899 loss: 0.015658 2022/09/20 00:39:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:39:52 - mmengine - INFO - Epoch(train) [163][50/293] lr: 5.000000e-04 eta: 1:40:35 time: 0.502239 data_time: 0.089171 memory: 13365 loss_kpt: 0.015129 acc_pose: 0.702626 loss: 0.015129 2022/09/20 00:40:16 - mmengine - INFO - Epoch(train) [163][100/293] lr: 5.000000e-04 eta: 1:40:14 time: 0.493997 data_time: 0.073127 memory: 13365 loss_kpt: 0.015314 acc_pose: 0.696332 loss: 0.015314 2022/09/20 00:40:41 - mmengine - INFO - Epoch(train) [163][150/293] lr: 5.000000e-04 eta: 1:39:54 time: 0.490210 data_time: 0.073193 memory: 13365 loss_kpt: 0.015275 acc_pose: 0.708456 loss: 0.015275 2022/09/20 00:41:06 - mmengine - INFO - Epoch(train) [163][200/293] lr: 5.000000e-04 eta: 1:39:33 time: 0.494235 data_time: 0.074641 memory: 13365 loss_kpt: 0.015727 acc_pose: 0.705226 loss: 0.015727 2022/09/20 00:41:31 - mmengine - INFO - Epoch(train) [163][250/293] lr: 5.000000e-04 eta: 1:39:13 time: 0.501182 data_time: 0.074323 memory: 13365 loss_kpt: 0.015801 acc_pose: 0.672397 loss: 0.015801 2022/09/20 00:41:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:42:18 - mmengine - INFO - Epoch(train) [164][50/293] lr: 5.000000e-04 eta: 1:38:28 time: 0.520335 data_time: 0.084323 memory: 13365 loss_kpt: 0.015424 acc_pose: 0.690184 loss: 0.015424 2022/09/20 00:42:42 - mmengine - INFO - Epoch(train) [164][100/293] lr: 5.000000e-04 eta: 1:38:08 time: 0.485194 data_time: 0.075082 memory: 13365 loss_kpt: 0.015715 acc_pose: 0.658758 loss: 0.015715 2022/09/20 00:43:07 - mmengine - INFO - Epoch(train) [164][150/293] lr: 5.000000e-04 eta: 1:37:47 time: 0.499253 data_time: 0.077009 memory: 13365 loss_kpt: 0.015478 acc_pose: 0.599847 loss: 0.015478 2022/09/20 00:43:32 - mmengine - INFO - Epoch(train) [164][200/293] lr: 5.000000e-04 eta: 1:37:27 time: 0.501282 data_time: 0.074057 memory: 13365 loss_kpt: 0.015662 acc_pose: 0.711455 loss: 0.015662 2022/09/20 00:43:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:43:57 - mmengine - INFO - Epoch(train) [164][250/293] lr: 5.000000e-04 eta: 1:37:06 time: 0.490871 data_time: 0.068993 memory: 13365 loss_kpt: 0.015266 acc_pose: 0.696772 loss: 0.015266 2022/09/20 00:44:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:44:43 - mmengine - INFO - Epoch(train) [165][50/293] lr: 5.000000e-04 eta: 1:36:22 time: 0.507852 data_time: 0.084561 memory: 13365 loss_kpt: 0.015431 acc_pose: 0.663248 loss: 0.015431 2022/09/20 00:45:08 - mmengine - INFO - Epoch(train) [165][100/293] lr: 5.000000e-04 eta: 1:36:01 time: 0.497283 data_time: 0.074534 memory: 13365 loss_kpt: 0.015530 acc_pose: 0.661660 loss: 0.015530 2022/09/20 00:45:33 - mmengine - INFO - Epoch(train) [165][150/293] lr: 5.000000e-04 eta: 1:35:41 time: 0.506543 data_time: 0.079194 memory: 13365 loss_kpt: 0.015703 acc_pose: 0.654418 loss: 0.015703 2022/09/20 00:45:58 - mmengine - INFO - Epoch(train) [165][200/293] lr: 5.000000e-04 eta: 1:35:20 time: 0.502301 data_time: 0.070563 memory: 13365 loss_kpt: 0.015467 acc_pose: 0.668498 loss: 0.015467 2022/09/20 00:46:23 - mmengine - INFO - Epoch(train) [165][250/293] lr: 5.000000e-04 eta: 1:34:59 time: 0.497281 data_time: 0.079499 memory: 13365 loss_kpt: 0.015782 acc_pose: 0.604307 loss: 0.015782 2022/09/20 00:46:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:47:11 - mmengine - INFO - Epoch(train) [166][50/293] lr: 5.000000e-04 eta: 1:34:16 time: 0.512857 data_time: 0.092909 memory: 13365 loss_kpt: 0.015394 acc_pose: 0.675977 loss: 0.015394 2022/09/20 00:47:36 - mmengine - INFO - Epoch(train) [166][100/293] lr: 5.000000e-04 eta: 1:33:55 time: 0.503387 data_time: 0.070098 memory: 13365 loss_kpt: 0.015574 acc_pose: 0.691249 loss: 0.015574 2022/09/20 00:48:01 - mmengine - INFO - Epoch(train) [166][150/293] lr: 5.000000e-04 eta: 1:33:34 time: 0.496143 data_time: 0.072980 memory: 13365 loss_kpt: 0.015173 acc_pose: 0.633842 loss: 0.015173 2022/09/20 00:48:25 - mmengine - INFO - Epoch(train) [166][200/293] lr: 5.000000e-04 eta: 1:33:14 time: 0.491364 data_time: 0.069666 memory: 13365 loss_kpt: 0.015532 acc_pose: 0.601281 loss: 0.015532 2022/09/20 00:48:50 - mmengine - INFO - Epoch(train) [166][250/293] lr: 5.000000e-04 eta: 1:32:53 time: 0.489784 data_time: 0.069108 memory: 13365 loss_kpt: 0.015634 acc_pose: 0.651989 loss: 0.015634 2022/09/20 00:49:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:49:36 - mmengine - INFO - Epoch(train) [167][50/293] lr: 5.000000e-04 eta: 1:32:09 time: 0.504303 data_time: 0.083525 memory: 13365 loss_kpt: 0.015123 acc_pose: 0.726150 loss: 0.015123 2022/09/20 00:50:01 - mmengine - INFO - Epoch(train) [167][100/293] lr: 5.000000e-04 eta: 1:31:48 time: 0.489151 data_time: 0.073298 memory: 13365 loss_kpt: 0.015393 acc_pose: 0.695962 loss: 0.015393 2022/09/20 00:50:25 - mmengine - INFO - Epoch(train) [167][150/293] lr: 5.000000e-04 eta: 1:31:27 time: 0.494549 data_time: 0.071444 memory: 13365 loss_kpt: 0.015620 acc_pose: 0.611108 loss: 0.015620 2022/09/20 00:50:50 - mmengine - INFO - Epoch(train) [167][200/293] lr: 5.000000e-04 eta: 1:31:07 time: 0.496517 data_time: 0.078792 memory: 13365 loss_kpt: 0.015202 acc_pose: 0.675802 loss: 0.015202 2022/09/20 00:51:15 - mmengine - INFO - Epoch(train) [167][250/293] lr: 5.000000e-04 eta: 1:30:46 time: 0.487221 data_time: 0.074591 memory: 13365 loss_kpt: 0.015269 acc_pose: 0.665303 loss: 0.015269 2022/09/20 00:51:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:52:01 - mmengine - INFO - Epoch(train) [168][50/293] lr: 5.000000e-04 eta: 1:30:02 time: 0.499428 data_time: 0.087171 memory: 13365 loss_kpt: 0.015319 acc_pose: 0.708066 loss: 0.015319 2022/09/20 00:52:10 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:52:26 - mmengine - INFO - Epoch(train) [168][100/293] lr: 5.000000e-04 eta: 1:29:41 time: 0.495855 data_time: 0.075291 memory: 13365 loss_kpt: 0.015245 acc_pose: 0.700082 loss: 0.015245 2022/09/20 00:52:50 - mmengine - INFO - Epoch(train) [168][150/293] lr: 5.000000e-04 eta: 1:29:21 time: 0.494723 data_time: 0.074950 memory: 13365 loss_kpt: 0.015418 acc_pose: 0.663362 loss: 0.015418 2022/09/20 00:53:15 - mmengine - INFO - Epoch(train) [168][200/293] lr: 5.000000e-04 eta: 1:29:00 time: 0.488306 data_time: 0.074594 memory: 13365 loss_kpt: 0.015471 acc_pose: 0.694761 loss: 0.015471 2022/09/20 00:53:39 - mmengine - INFO - Epoch(train) [168][250/293] lr: 5.000000e-04 eta: 1:28:39 time: 0.492346 data_time: 0.073542 memory: 13365 loss_kpt: 0.015761 acc_pose: 0.688159 loss: 0.015761 2022/09/20 00:54:00 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:54:27 - mmengine - INFO - Epoch(train) [169][50/293] lr: 5.000000e-04 eta: 1:27:55 time: 0.521657 data_time: 0.091041 memory: 13365 loss_kpt: 0.015298 acc_pose: 0.693897 loss: 0.015298 2022/09/20 00:54:51 - mmengine - INFO - Epoch(train) [169][100/293] lr: 5.000000e-04 eta: 1:27:35 time: 0.496953 data_time: 0.078015 memory: 13365 loss_kpt: 0.015346 acc_pose: 0.704850 loss: 0.015346 2022/09/20 00:55:16 - mmengine - INFO - Epoch(train) [169][150/293] lr: 5.000000e-04 eta: 1:27:14 time: 0.492035 data_time: 0.074023 memory: 13365 loss_kpt: 0.015561 acc_pose: 0.645406 loss: 0.015561 2022/09/20 00:55:41 - mmengine - INFO - Epoch(train) [169][200/293] lr: 5.000000e-04 eta: 1:26:53 time: 0.490349 data_time: 0.073616 memory: 13365 loss_kpt: 0.015442 acc_pose: 0.701445 loss: 0.015442 2022/09/20 00:56:05 - mmengine - INFO - Epoch(train) [169][250/293] lr: 5.000000e-04 eta: 1:26:32 time: 0.487375 data_time: 0.071368 memory: 13365 loss_kpt: 0.015437 acc_pose: 0.678702 loss: 0.015437 2022/09/20 00:56:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:56:52 - mmengine - INFO - Epoch(train) [170][50/293] lr: 5.000000e-04 eta: 1:25:49 time: 0.511362 data_time: 0.083077 memory: 13365 loss_kpt: 0.015356 acc_pose: 0.686709 loss: 0.015356 2022/09/20 00:57:16 - mmengine - INFO - Epoch(train) [170][100/293] lr: 5.000000e-04 eta: 1:25:28 time: 0.486242 data_time: 0.074475 memory: 13365 loss_kpt: 0.014997 acc_pose: 0.667640 loss: 0.014997 2022/09/20 00:57:42 - mmengine - INFO - Epoch(train) [170][150/293] lr: 5.000000e-04 eta: 1:25:07 time: 0.503080 data_time: 0.076612 memory: 13365 loss_kpt: 0.015564 acc_pose: 0.640230 loss: 0.015564 2022/09/20 00:58:07 - mmengine - INFO - Epoch(train) [170][200/293] lr: 5.000000e-04 eta: 1:24:47 time: 0.498472 data_time: 0.075114 memory: 13365 loss_kpt: 0.015573 acc_pose: 0.610911 loss: 0.015573 2022/09/20 00:58:31 - mmengine - INFO - Epoch(train) [170][250/293] lr: 5.000000e-04 eta: 1:24:26 time: 0.488651 data_time: 0.073428 memory: 13365 loss_kpt: 0.015613 acc_pose: 0.664038 loss: 0.015613 2022/09/20 00:58:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 00:58:52 - mmengine - INFO - Saving checkpoint at 170 epochs 2022/09/20 00:59:05 - mmengine - INFO - Epoch(val) [170][50/407] eta: 0:00:55 time: 0.156385 data_time: 0.021960 memory: 13365 2022/09/20 00:59:12 - mmengine - INFO - Epoch(val) [170][100/407] eta: 0:00:45 time: 0.149506 data_time: 0.015039 memory: 2189 2022/09/20 00:59:20 - mmengine - INFO - Epoch(val) [170][150/407] eta: 0:00:38 time: 0.150845 data_time: 0.014252 memory: 2189 2022/09/20 00:59:27 - mmengine - INFO - Epoch(val) [170][200/407] eta: 0:00:31 time: 0.153387 data_time: 0.012479 memory: 2189 2022/09/20 00:59:35 - mmengine - INFO - Epoch(val) [170][250/407] eta: 0:00:22 time: 0.145343 data_time: 0.010510 memory: 2189 2022/09/20 00:59:42 - mmengine - INFO - Epoch(val) [170][300/407] eta: 0:00:15 time: 0.143718 data_time: 0.010656 memory: 2189 2022/09/20 00:59:50 - mmengine - INFO - Epoch(val) [170][350/407] eta: 0:00:09 time: 0.160819 data_time: 0.025720 memory: 2189 2022/09/20 00:59:57 - mmengine - INFO - Epoch(val) [170][400/407] eta: 0:00:00 time: 0.140749 data_time: 0.013158 memory: 2189 2022/09/20 01:00:28 - mmengine - INFO - Evaluating CocoMetric... 2022/09/20 01:00:41 - mmengine - INFO - Epoch(val) [170][407/407] coco/AP: 0.606884 coco/AP .5: 0.849363 coco/AP .75: 0.684647 coco/AP (M): 0.581033 coco/AP (L): 0.665666 coco/AR: 0.672009 coco/AR .5: 0.897827 coco/AR .75: 0.745277 coco/AR (M): 0.634745 coco/AR (L): 0.725455 2022/09/20 01:01:06 - mmengine - INFO - Epoch(train) [171][50/293] lr: 5.000000e-05 eta: 1:23:42 time: 0.511733 data_time: 0.084990 memory: 13365 loss_kpt: 0.015298 acc_pose: 0.722045 loss: 0.015298 2022/09/20 01:01:31 - mmengine - INFO - Epoch(train) [171][100/293] lr: 5.000000e-05 eta: 1:23:22 time: 0.498366 data_time: 0.074765 memory: 13365 loss_kpt: 0.015008 acc_pose: 0.695231 loss: 0.015008 2022/09/20 01:01:56 - mmengine - INFO - Epoch(train) [171][150/293] lr: 5.000000e-05 eta: 1:23:01 time: 0.491660 data_time: 0.074089 memory: 13365 loss_kpt: 0.014582 acc_pose: 0.710057 loss: 0.014582 2022/09/20 01:02:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:02:20 - mmengine - INFO - Epoch(train) [171][200/293] lr: 5.000000e-05 eta: 1:22:40 time: 0.491819 data_time: 0.076689 memory: 13365 loss_kpt: 0.015020 acc_pose: 0.695879 loss: 0.015020 2022/09/20 01:02:45 - mmengine - INFO - Epoch(train) [171][250/293] lr: 5.000000e-05 eta: 1:22:19 time: 0.489940 data_time: 0.075329 memory: 13365 loss_kpt: 0.015036 acc_pose: 0.684233 loss: 0.015036 2022/09/20 01:03:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:03:32 - mmengine - INFO - Epoch(train) [172][50/293] lr: 5.000000e-05 eta: 1:21:36 time: 0.518506 data_time: 0.085021 memory: 13365 loss_kpt: 0.014837 acc_pose: 0.701000 loss: 0.014837 2022/09/20 01:03:57 - mmengine - INFO - Epoch(train) [172][100/293] lr: 5.000000e-05 eta: 1:21:15 time: 0.497411 data_time: 0.070435 memory: 13365 loss_kpt: 0.014499 acc_pose: 0.722655 loss: 0.014499 2022/09/20 01:04:21 - mmengine - INFO - Epoch(train) [172][150/293] lr: 5.000000e-05 eta: 1:20:54 time: 0.485846 data_time: 0.071274 memory: 13365 loss_kpt: 0.015093 acc_pose: 0.653070 loss: 0.015093 2022/09/20 01:04:46 - mmengine - INFO - Epoch(train) [172][200/293] lr: 5.000000e-05 eta: 1:20:33 time: 0.499722 data_time: 0.074325 memory: 13365 loss_kpt: 0.015194 acc_pose: 0.689153 loss: 0.015194 2022/09/20 01:05:10 - mmengine - INFO - Epoch(train) [172][250/293] lr: 5.000000e-05 eta: 1:20:12 time: 0.481730 data_time: 0.068188 memory: 13365 loss_kpt: 0.014915 acc_pose: 0.684183 loss: 0.014915 2022/09/20 01:05:31 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:05:57 - mmengine - INFO - Epoch(train) [173][50/293] lr: 5.000000e-05 eta: 1:19:29 time: 0.516969 data_time: 0.091513 memory: 13365 loss_kpt: 0.014771 acc_pose: 0.711916 loss: 0.014771 2022/09/20 01:06:22 - mmengine - INFO - Epoch(train) [173][100/293] lr: 5.000000e-05 eta: 1:19:09 time: 0.504029 data_time: 0.070934 memory: 13365 loss_kpt: 0.014984 acc_pose: 0.649832 loss: 0.014984 2022/09/20 01:06:47 - mmengine - INFO - Epoch(train) [173][150/293] lr: 5.000000e-05 eta: 1:18:48 time: 0.493431 data_time: 0.074175 memory: 13365 loss_kpt: 0.014742 acc_pose: 0.676158 loss: 0.014742 2022/09/20 01:07:11 - mmengine - INFO - Epoch(train) [173][200/293] lr: 5.000000e-05 eta: 1:18:27 time: 0.486514 data_time: 0.072447 memory: 13365 loss_kpt: 0.014724 acc_pose: 0.686851 loss: 0.014724 2022/09/20 01:07:36 - mmengine - INFO - Epoch(train) [173][250/293] lr: 5.000000e-05 eta: 1:18:06 time: 0.489801 data_time: 0.068910 memory: 13365 loss_kpt: 0.014722 acc_pose: 0.648435 loss: 0.014722 2022/09/20 01:07:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:08:22 - mmengine - INFO - Epoch(train) [174][50/293] lr: 5.000000e-05 eta: 1:17:23 time: 0.496786 data_time: 0.082804 memory: 13365 loss_kpt: 0.014634 acc_pose: 0.681574 loss: 0.014634 2022/09/20 01:08:47 - mmengine - INFO - Epoch(train) [174][100/293] lr: 5.000000e-05 eta: 1:17:02 time: 0.497472 data_time: 0.072473 memory: 13365 loss_kpt: 0.014680 acc_pose: 0.662637 loss: 0.014680 2022/09/20 01:09:11 - mmengine - INFO - Epoch(train) [174][150/293] lr: 5.000000e-05 eta: 1:16:41 time: 0.490816 data_time: 0.072813 memory: 13365 loss_kpt: 0.014729 acc_pose: 0.708271 loss: 0.014729 2022/09/20 01:09:37 - mmengine - INFO - Epoch(train) [174][200/293] lr: 5.000000e-05 eta: 1:16:20 time: 0.502927 data_time: 0.080192 memory: 13365 loss_kpt: 0.014784 acc_pose: 0.613861 loss: 0.014784 2022/09/20 01:10:02 - mmengine - INFO - Epoch(train) [174][250/293] lr: 5.000000e-05 eta: 1:15:59 time: 0.499739 data_time: 0.070695 memory: 13365 loss_kpt: 0.014588 acc_pose: 0.745878 loss: 0.014588 2022/09/20 01:10:22 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:10:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:10:48 - mmengine - INFO - Epoch(train) [175][50/293] lr: 5.000000e-05 eta: 1:15:16 time: 0.515580 data_time: 0.091725 memory: 13365 loss_kpt: 0.014806 acc_pose: 0.693609 loss: 0.014806 2022/09/20 01:11:13 - mmengine - INFO - Epoch(train) [175][100/293] lr: 5.000000e-05 eta: 1:14:56 time: 0.494705 data_time: 0.068513 memory: 13365 loss_kpt: 0.015128 acc_pose: 0.716250 loss: 0.015128 2022/09/20 01:11:37 - mmengine - INFO - Epoch(train) [175][150/293] lr: 5.000000e-05 eta: 1:14:35 time: 0.490821 data_time: 0.072386 memory: 13365 loss_kpt: 0.014700 acc_pose: 0.682458 loss: 0.014700 2022/09/20 01:12:03 - mmengine - INFO - Epoch(train) [175][200/293] lr: 5.000000e-05 eta: 1:14:14 time: 0.504708 data_time: 0.076631 memory: 13365 loss_kpt: 0.014771 acc_pose: 0.684575 loss: 0.014771 2022/09/20 01:12:27 - mmengine - INFO - Epoch(train) [175][250/293] lr: 5.000000e-05 eta: 1:13:53 time: 0.492030 data_time: 0.068614 memory: 13365 loss_kpt: 0.014402 acc_pose: 0.763930 loss: 0.014402 2022/09/20 01:12:48 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:13:13 - mmengine - INFO - Epoch(train) [176][50/293] lr: 5.000000e-05 eta: 1:13:10 time: 0.496323 data_time: 0.083739 memory: 13365 loss_kpt: 0.015011 acc_pose: 0.684877 loss: 0.015011 2022/09/20 01:13:38 - mmengine - INFO - Epoch(train) [176][100/293] lr: 5.000000e-05 eta: 1:12:49 time: 0.496668 data_time: 0.076075 memory: 13365 loss_kpt: 0.014916 acc_pose: 0.635276 loss: 0.014916 2022/09/20 01:14:02 - mmengine - INFO - Epoch(train) [176][150/293] lr: 5.000000e-05 eta: 1:12:28 time: 0.492686 data_time: 0.069557 memory: 13365 loss_kpt: 0.015001 acc_pose: 0.714703 loss: 0.015001 2022/09/20 01:14:27 - mmengine - INFO - Epoch(train) [176][200/293] lr: 5.000000e-05 eta: 1:12:07 time: 0.489619 data_time: 0.071922 memory: 13365 loss_kpt: 0.014966 acc_pose: 0.681054 loss: 0.014966 2022/09/20 01:14:52 - mmengine - INFO - Epoch(train) [176][250/293] lr: 5.000000e-05 eta: 1:11:46 time: 0.500271 data_time: 0.079127 memory: 13365 loss_kpt: 0.014548 acc_pose: 0.655074 loss: 0.014548 2022/09/20 01:15:12 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:15:38 - mmengine - INFO - Epoch(train) [177][50/293] lr: 5.000000e-05 eta: 1:11:04 time: 0.511546 data_time: 0.079723 memory: 13365 loss_kpt: 0.014827 acc_pose: 0.727217 loss: 0.014827 2022/09/20 01:16:03 - mmengine - INFO - Epoch(train) [177][100/293] lr: 5.000000e-05 eta: 1:10:43 time: 0.498576 data_time: 0.068612 memory: 13365 loss_kpt: 0.014814 acc_pose: 0.700787 loss: 0.014814 2022/09/20 01:16:27 - mmengine - INFO - Epoch(train) [177][150/293] lr: 5.000000e-05 eta: 1:10:22 time: 0.482214 data_time: 0.075295 memory: 13365 loss_kpt: 0.014519 acc_pose: 0.657706 loss: 0.014519 2022/09/20 01:16:51 - mmengine - INFO - Epoch(train) [177][200/293] lr: 5.000000e-05 eta: 1:10:01 time: 0.483857 data_time: 0.073809 memory: 13365 loss_kpt: 0.014375 acc_pose: 0.635513 loss: 0.014375 2022/09/20 01:17:16 - mmengine - INFO - Epoch(train) [177][250/293] lr: 5.000000e-05 eta: 1:09:40 time: 0.499675 data_time: 0.079046 memory: 13365 loss_kpt: 0.014811 acc_pose: 0.715483 loss: 0.014811 2022/09/20 01:17:37 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:18:02 - mmengine - INFO - Epoch(train) [178][50/293] lr: 5.000000e-05 eta: 1:08:57 time: 0.504641 data_time: 0.082639 memory: 13365 loss_kpt: 0.014643 acc_pose: 0.747992 loss: 0.014643 2022/09/20 01:18:27 - mmengine - INFO - Epoch(train) [178][100/293] lr: 5.000000e-05 eta: 1:08:36 time: 0.497265 data_time: 0.073752 memory: 13365 loss_kpt: 0.014953 acc_pose: 0.717181 loss: 0.014953 2022/09/20 01:18:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:18:52 - mmengine - INFO - Epoch(train) [178][150/293] lr: 5.000000e-05 eta: 1:08:15 time: 0.498303 data_time: 0.076875 memory: 13365 loss_kpt: 0.014683 acc_pose: 0.641165 loss: 0.014683 2022/09/20 01:19:17 - mmengine - INFO - Epoch(train) [178][200/293] lr: 5.000000e-05 eta: 1:07:54 time: 0.499855 data_time: 0.070925 memory: 13365 loss_kpt: 0.015106 acc_pose: 0.683611 loss: 0.015106 2022/09/20 01:19:41 - mmengine - INFO - Epoch(train) [178][250/293] lr: 5.000000e-05 eta: 1:07:33 time: 0.493201 data_time: 0.081444 memory: 13365 loss_kpt: 0.014631 acc_pose: 0.717832 loss: 0.014631 2022/09/20 01:20:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:20:27 - mmengine - INFO - Epoch(train) [179][50/293] lr: 5.000000e-05 eta: 1:06:51 time: 0.512255 data_time: 0.081414 memory: 13365 loss_kpt: 0.014744 acc_pose: 0.667108 loss: 0.014744 2022/09/20 01:20:52 - mmengine - INFO - Epoch(train) [179][100/293] lr: 5.000000e-05 eta: 1:06:30 time: 0.491678 data_time: 0.076999 memory: 13365 loss_kpt: 0.014832 acc_pose: 0.758966 loss: 0.014832 2022/09/20 01:21:17 - mmengine - INFO - Epoch(train) [179][150/293] lr: 5.000000e-05 eta: 1:06:09 time: 0.493594 data_time: 0.075608 memory: 13365 loss_kpt: 0.014862 acc_pose: 0.660942 loss: 0.014862 2022/09/20 01:21:42 - mmengine - INFO - Epoch(train) [179][200/293] lr: 5.000000e-05 eta: 1:05:48 time: 0.500987 data_time: 0.076349 memory: 13365 loss_kpt: 0.014793 acc_pose: 0.725845 loss: 0.014793 2022/09/20 01:22:06 - mmengine - INFO - Epoch(train) [179][250/293] lr: 5.000000e-05 eta: 1:05:27 time: 0.491874 data_time: 0.075665 memory: 13365 loss_kpt: 0.015196 acc_pose: 0.717280 loss: 0.015196 2022/09/20 01:22:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:22:52 - mmengine - INFO - Epoch(train) [180][50/293] lr: 5.000000e-05 eta: 1:04:44 time: 0.507660 data_time: 0.086293 memory: 13365 loss_kpt: 0.014470 acc_pose: 0.644175 loss: 0.014470 2022/09/20 01:23:17 - mmengine - INFO - Epoch(train) [180][100/293] lr: 5.000000e-05 eta: 1:04:24 time: 0.491337 data_time: 0.075246 memory: 13365 loss_kpt: 0.015040 acc_pose: 0.658993 loss: 0.015040 2022/09/20 01:23:41 - mmengine - INFO - Epoch(train) [180][150/293] lr: 5.000000e-05 eta: 1:04:03 time: 0.491530 data_time: 0.075813 memory: 13365 loss_kpt: 0.014600 acc_pose: 0.698708 loss: 0.014600 2022/09/20 01:24:06 - mmengine - INFO - Epoch(train) [180][200/293] lr: 5.000000e-05 eta: 1:03:42 time: 0.502273 data_time: 0.072720 memory: 13365 loss_kpt: 0.014612 acc_pose: 0.618702 loss: 0.014612 2022/09/20 01:24:31 - mmengine - INFO - Epoch(train) [180][250/293] lr: 5.000000e-05 eta: 1:03:21 time: 0.494178 data_time: 0.075106 memory: 13365 loss_kpt: 0.014513 acc_pose: 0.632107 loss: 0.014513 2022/09/20 01:24:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:24:52 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/09/20 01:25:05 - mmengine - INFO - Epoch(val) [180][50/407] eta: 0:00:58 time: 0.163756 data_time: 0.027479 memory: 13365 2022/09/20 01:25:12 - mmengine - INFO - Epoch(val) [180][100/407] eta: 0:00:45 time: 0.146630 data_time: 0.011158 memory: 2189 2022/09/20 01:25:20 - mmengine - INFO - Epoch(val) [180][150/407] eta: 0:00:37 time: 0.145511 data_time: 0.013355 memory: 2189 2022/09/20 01:25:27 - mmengine - INFO - Epoch(val) [180][200/407] eta: 0:00:30 time: 0.145549 data_time: 0.010895 memory: 2189 2022/09/20 01:25:34 - mmengine - INFO - Epoch(val) [180][250/407] eta: 0:00:23 time: 0.147401 data_time: 0.012632 memory: 2189 2022/09/20 01:25:41 - mmengine - INFO - Epoch(val) [180][300/407] eta: 0:00:15 time: 0.146146 data_time: 0.012508 memory: 2189 2022/09/20 01:25:49 - mmengine - INFO - Epoch(val) [180][350/407] eta: 0:00:08 time: 0.154117 data_time: 0.019428 memory: 2189 2022/09/20 01:25:56 - mmengine - INFO - Epoch(val) [180][400/407] eta: 0:00:00 time: 0.139360 data_time: 0.009864 memory: 2189 2022/09/20 01:26:28 - mmengine - INFO - Evaluating CocoMetric... 2022/09/20 01:26:41 - mmengine - INFO - Epoch(val) [180][407/407] coco/AP: 0.624360 coco/AP .5: 0.861655 coco/AP .75: 0.705047 coco/AP (M): 0.597517 coco/AP (L): 0.683787 coco/AR: 0.685910 coco/AR .5: 0.904125 coco/AR .75: 0.761965 coco/AR (M): 0.646572 coco/AR (L): 0.742066 2022/09/20 01:26:41 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_160.pth is removed 2022/09/20 01:26:43 - mmengine - INFO - The best checkpoint with 0.6244 coco/AP at 180 epoch is saved to best_coco/AP_epoch_180.pth. 2022/09/20 01:27:08 - mmengine - INFO - Epoch(train) [181][50/293] lr: 5.000000e-05 eta: 1:02:38 time: 0.494601 data_time: 0.080801 memory: 13365 loss_kpt: 0.014640 acc_pose: 0.666455 loss: 0.014640 2022/09/20 01:27:33 - mmengine - INFO - Epoch(train) [181][100/293] lr: 5.000000e-05 eta: 1:02:17 time: 0.489348 data_time: 0.070425 memory: 13365 loss_kpt: 0.014686 acc_pose: 0.661490 loss: 0.014686 2022/09/20 01:27:58 - mmengine - INFO - Epoch(train) [181][150/293] lr: 5.000000e-05 eta: 1:01:56 time: 0.506051 data_time: 0.079449 memory: 13365 loss_kpt: 0.014959 acc_pose: 0.673529 loss: 0.014959 2022/09/20 01:28:23 - mmengine - INFO - Epoch(train) [181][200/293] lr: 5.000000e-05 eta: 1:01:35 time: 0.497698 data_time: 0.076115 memory: 13365 loss_kpt: 0.014762 acc_pose: 0.686210 loss: 0.014762 2022/09/20 01:28:48 - mmengine - INFO - Epoch(train) [181][250/293] lr: 5.000000e-05 eta: 1:01:14 time: 0.498716 data_time: 0.073819 memory: 13365 loss_kpt: 0.014565 acc_pose: 0.709367 loss: 0.014565 2022/09/20 01:28:53 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:29:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:29:34 - mmengine - INFO - Epoch(train) [182][50/293] lr: 5.000000e-05 eta: 1:00:32 time: 0.503575 data_time: 0.078555 memory: 13365 loss_kpt: 0.014764 acc_pose: 0.667356 loss: 0.014764 2022/09/20 01:29:59 - mmengine - INFO - Epoch(train) [182][100/293] lr: 5.000000e-05 eta: 1:00:11 time: 0.495583 data_time: 0.074537 memory: 13365 loss_kpt: 0.014639 acc_pose: 0.716247 loss: 0.014639 2022/09/20 01:30:24 - mmengine - INFO - Epoch(train) [182][150/293] lr: 5.000000e-05 eta: 0:59:50 time: 0.499468 data_time: 0.066900 memory: 13365 loss_kpt: 0.014432 acc_pose: 0.736864 loss: 0.014432 2022/09/20 01:30:49 - mmengine - INFO - Epoch(train) [182][200/293] lr: 5.000000e-05 eta: 0:59:29 time: 0.503207 data_time: 0.074135 memory: 13365 loss_kpt: 0.014630 acc_pose: 0.660183 loss: 0.014630 2022/09/20 01:31:14 - mmengine - INFO - Epoch(train) [182][250/293] lr: 5.000000e-05 eta: 0:59:08 time: 0.491825 data_time: 0.072680 memory: 13365 loss_kpt: 0.014661 acc_pose: 0.641403 loss: 0.014661 2022/09/20 01:31:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:32:00 - mmengine - INFO - Epoch(train) [183][50/293] lr: 5.000000e-05 eta: 0:58:26 time: 0.507822 data_time: 0.079308 memory: 13365 loss_kpt: 0.014650 acc_pose: 0.723575 loss: 0.014650 2022/09/20 01:32:25 - mmengine - INFO - Epoch(train) [183][100/293] lr: 5.000000e-05 eta: 0:58:05 time: 0.497788 data_time: 0.075830 memory: 13365 loss_kpt: 0.014801 acc_pose: 0.770309 loss: 0.014801 2022/09/20 01:32:49 - mmengine - INFO - Epoch(train) [183][150/293] lr: 5.000000e-05 eta: 0:57:44 time: 0.483840 data_time: 0.072569 memory: 13365 loss_kpt: 0.015057 acc_pose: 0.696787 loss: 0.015057 2022/09/20 01:33:14 - mmengine - INFO - Epoch(train) [183][200/293] lr: 5.000000e-05 eta: 0:57:23 time: 0.495062 data_time: 0.071793 memory: 13365 loss_kpt: 0.014514 acc_pose: 0.696827 loss: 0.014514 2022/09/20 01:33:39 - mmengine - INFO - Epoch(train) [183][250/293] lr: 5.000000e-05 eta: 0:57:02 time: 0.512688 data_time: 0.073922 memory: 13365 loss_kpt: 0.014650 acc_pose: 0.709096 loss: 0.014650 2022/09/20 01:34:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:34:26 - mmengine - INFO - Epoch(train) [184][50/293] lr: 5.000000e-05 eta: 0:56:20 time: 0.513232 data_time: 0.092335 memory: 13365 loss_kpt: 0.014560 acc_pose: 0.671111 loss: 0.014560 2022/09/20 01:34:51 - mmengine - INFO - Epoch(train) [184][100/293] lr: 5.000000e-05 eta: 0:55:59 time: 0.492561 data_time: 0.070248 memory: 13365 loss_kpt: 0.014551 acc_pose: 0.674268 loss: 0.014551 2022/09/20 01:35:16 - mmengine - INFO - Epoch(train) [184][150/293] lr: 5.000000e-05 eta: 0:55:38 time: 0.492791 data_time: 0.074860 memory: 13365 loss_kpt: 0.014635 acc_pose: 0.683998 loss: 0.014635 2022/09/20 01:35:41 - mmengine - INFO - Epoch(train) [184][200/293] lr: 5.000000e-05 eta: 0:55:17 time: 0.503405 data_time: 0.073324 memory: 13365 loss_kpt: 0.014523 acc_pose: 0.690865 loss: 0.014523 2022/09/20 01:36:05 - mmengine - INFO - Epoch(train) [184][250/293] lr: 5.000000e-05 eta: 0:54:55 time: 0.489234 data_time: 0.072771 memory: 13365 loss_kpt: 0.014928 acc_pose: 0.659907 loss: 0.014928 2022/09/20 01:36:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:36:53 - mmengine - INFO - Epoch(train) [185][50/293] lr: 5.000000e-05 eta: 0:54:13 time: 0.513534 data_time: 0.084548 memory: 13365 loss_kpt: 0.014786 acc_pose: 0.701873 loss: 0.014786 2022/09/20 01:37:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:37:17 - mmengine - INFO - Epoch(train) [185][100/293] lr: 5.000000e-05 eta: 0:53:52 time: 0.491804 data_time: 0.071077 memory: 13365 loss_kpt: 0.014727 acc_pose: 0.631127 loss: 0.014727 2022/09/20 01:37:42 - mmengine - INFO - Epoch(train) [185][150/293] lr: 5.000000e-05 eta: 0:53:31 time: 0.492295 data_time: 0.067794 memory: 13365 loss_kpt: 0.014716 acc_pose: 0.690837 loss: 0.014716 2022/09/20 01:38:07 - mmengine - INFO - Epoch(train) [185][200/293] lr: 5.000000e-05 eta: 0:53:10 time: 0.507329 data_time: 0.074335 memory: 13365 loss_kpt: 0.014962 acc_pose: 0.694965 loss: 0.014962 2022/09/20 01:38:32 - mmengine - INFO - Epoch(train) [185][250/293] lr: 5.000000e-05 eta: 0:52:49 time: 0.494144 data_time: 0.072585 memory: 13365 loss_kpt: 0.014926 acc_pose: 0.702481 loss: 0.014926 2022/09/20 01:38:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:39:18 - mmengine - INFO - Epoch(train) [186][50/293] lr: 5.000000e-05 eta: 0:52:07 time: 0.513334 data_time: 0.078938 memory: 13365 loss_kpt: 0.014706 acc_pose: 0.700278 loss: 0.014706 2022/09/20 01:39:43 - mmengine - INFO - Epoch(train) [186][100/293] lr: 5.000000e-05 eta: 0:51:46 time: 0.504134 data_time: 0.069243 memory: 13365 loss_kpt: 0.014325 acc_pose: 0.738190 loss: 0.014325 2022/09/20 01:40:08 - mmengine - INFO - Epoch(train) [186][150/293] lr: 5.000000e-05 eta: 0:51:25 time: 0.491586 data_time: 0.071855 memory: 13365 loss_kpt: 0.014667 acc_pose: 0.703953 loss: 0.014667 2022/09/20 01:40:33 - mmengine - INFO - Epoch(train) [186][200/293] lr: 5.000000e-05 eta: 0:51:04 time: 0.499638 data_time: 0.081633 memory: 13365 loss_kpt: 0.014739 acc_pose: 0.689091 loss: 0.014739 2022/09/20 01:40:57 - mmengine - INFO - Epoch(train) [186][250/293] lr: 5.000000e-05 eta: 0:50:43 time: 0.489985 data_time: 0.072724 memory: 13365 loss_kpt: 0.014417 acc_pose: 0.659430 loss: 0.014417 2022/09/20 01:41:19 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:41:44 - mmengine - INFO - Epoch(train) [187][50/293] lr: 5.000000e-05 eta: 0:50:01 time: 0.513237 data_time: 0.086937 memory: 13365 loss_kpt: 0.014853 acc_pose: 0.675801 loss: 0.014853 2022/09/20 01:42:09 - mmengine - INFO - Epoch(train) [187][100/293] lr: 5.000000e-05 eta: 0:49:40 time: 0.495650 data_time: 0.073298 memory: 13365 loss_kpt: 0.015023 acc_pose: 0.748811 loss: 0.015023 2022/09/20 01:42:34 - mmengine - INFO - Epoch(train) [187][150/293] lr: 5.000000e-05 eta: 0:49:19 time: 0.488577 data_time: 0.071235 memory: 13365 loss_kpt: 0.014567 acc_pose: 0.677672 loss: 0.014567 2022/09/20 01:42:58 - mmengine - INFO - Epoch(train) [187][200/293] lr: 5.000000e-05 eta: 0:48:58 time: 0.494278 data_time: 0.075618 memory: 13365 loss_kpt: 0.014282 acc_pose: 0.733548 loss: 0.014282 2022/09/20 01:43:23 - mmengine - INFO - Epoch(train) [187][250/293] lr: 5.000000e-05 eta: 0:48:37 time: 0.489131 data_time: 0.070457 memory: 13365 loss_kpt: 0.014895 acc_pose: 0.700486 loss: 0.014895 2022/09/20 01:43:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:44:09 - mmengine - INFO - Epoch(train) [188][50/293] lr: 5.000000e-05 eta: 0:47:55 time: 0.500477 data_time: 0.085368 memory: 13365 loss_kpt: 0.014537 acc_pose: 0.692265 loss: 0.014537 2022/09/20 01:44:34 - mmengine - INFO - Epoch(train) [188][100/293] lr: 5.000000e-05 eta: 0:47:34 time: 0.490792 data_time: 0.075211 memory: 13365 loss_kpt: 0.014390 acc_pose: 0.703217 loss: 0.014390 2022/09/20 01:44:58 - mmengine - INFO - Epoch(train) [188][150/293] lr: 5.000000e-05 eta: 0:47:13 time: 0.488796 data_time: 0.075201 memory: 13365 loss_kpt: 0.014785 acc_pose: 0.653371 loss: 0.014785 2022/09/20 01:45:23 - mmengine - INFO - Epoch(train) [188][200/293] lr: 5.000000e-05 eta: 0:46:52 time: 0.503063 data_time: 0.082904 memory: 13365 loss_kpt: 0.014645 acc_pose: 0.661396 loss: 0.014645 2022/09/20 01:45:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:45:48 - mmengine - INFO - Epoch(train) [188][250/293] lr: 5.000000e-05 eta: 0:46:30 time: 0.494857 data_time: 0.070057 memory: 13365 loss_kpt: 0.014604 acc_pose: 0.689477 loss: 0.014604 2022/09/20 01:46:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:46:35 - mmengine - INFO - Epoch(train) [189][50/293] lr: 5.000000e-05 eta: 0:45:49 time: 0.507768 data_time: 0.087842 memory: 13365 loss_kpt: 0.014898 acc_pose: 0.720625 loss: 0.014898 2022/09/20 01:46:59 - mmengine - INFO - Epoch(train) [189][100/293] lr: 5.000000e-05 eta: 0:45:28 time: 0.486696 data_time: 0.070360 memory: 13365 loss_kpt: 0.014802 acc_pose: 0.662481 loss: 0.014802 2022/09/20 01:47:24 - mmengine - INFO - Epoch(train) [189][150/293] lr: 5.000000e-05 eta: 0:45:07 time: 0.500718 data_time: 0.076129 memory: 13365 loss_kpt: 0.014656 acc_pose: 0.709929 loss: 0.014656 2022/09/20 01:47:49 - mmengine - INFO - Epoch(train) [189][200/293] lr: 5.000000e-05 eta: 0:44:45 time: 0.496075 data_time: 0.078293 memory: 13365 loss_kpt: 0.014547 acc_pose: 0.681496 loss: 0.014547 2022/09/20 01:48:14 - mmengine - INFO - Epoch(train) [189][250/293] lr: 5.000000e-05 eta: 0:44:24 time: 0.498386 data_time: 0.072992 memory: 13365 loss_kpt: 0.014676 acc_pose: 0.698666 loss: 0.014676 2022/09/20 01:48:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:49:00 - mmengine - INFO - Epoch(train) [190][50/293] lr: 5.000000e-05 eta: 0:43:43 time: 0.505632 data_time: 0.081494 memory: 13365 loss_kpt: 0.014471 acc_pose: 0.653405 loss: 0.014471 2022/09/20 01:49:26 - mmengine - INFO - Epoch(train) [190][100/293] lr: 5.000000e-05 eta: 0:43:22 time: 0.506986 data_time: 0.077935 memory: 13365 loss_kpt: 0.014448 acc_pose: 0.737008 loss: 0.014448 2022/09/20 01:49:51 - mmengine - INFO - Epoch(train) [190][150/293] lr: 5.000000e-05 eta: 0:43:00 time: 0.500485 data_time: 0.070461 memory: 13365 loss_kpt: 0.014681 acc_pose: 0.691700 loss: 0.014681 2022/09/20 01:50:15 - mmengine - INFO - Epoch(train) [190][200/293] lr: 5.000000e-05 eta: 0:42:39 time: 0.490368 data_time: 0.071370 memory: 13365 loss_kpt: 0.014859 acc_pose: 0.690300 loss: 0.014859 2022/09/20 01:50:41 - mmengine - INFO - Epoch(train) [190][250/293] lr: 5.000000e-05 eta: 0:42:18 time: 0.504117 data_time: 0.071189 memory: 13365 loss_kpt: 0.014595 acc_pose: 0.676809 loss: 0.014595 2022/09/20 01:51:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:51:01 - mmengine - INFO - Saving checkpoint at 190 epochs 2022/09/20 01:51:14 - mmengine - INFO - Epoch(val) [190][50/407] eta: 0:00:55 time: 0.156230 data_time: 0.021735 memory: 13365 2022/09/20 01:51:21 - mmengine - INFO - Epoch(val) [190][100/407] eta: 0:00:45 time: 0.149563 data_time: 0.014041 memory: 2189 2022/09/20 01:51:29 - mmengine - INFO - Epoch(val) [190][150/407] eta: 0:00:38 time: 0.149797 data_time: 0.015670 memory: 2189 2022/09/20 01:51:36 - mmengine - INFO - Epoch(val) [190][200/407] eta: 0:00:29 time: 0.142794 data_time: 0.011017 memory: 2189 2022/09/20 01:51:43 - mmengine - INFO - Epoch(val) [190][250/407] eta: 0:00:23 time: 0.151220 data_time: 0.015646 memory: 2189 2022/09/20 01:51:51 - mmengine - INFO - Epoch(val) [190][300/407] eta: 0:00:16 time: 0.151850 data_time: 0.015158 memory: 2189 2022/09/20 01:51:58 - mmengine - INFO - Epoch(val) [190][350/407] eta: 0:00:08 time: 0.146984 data_time: 0.011726 memory: 2189 2022/09/20 01:52:05 - mmengine - INFO - Epoch(val) [190][400/407] eta: 0:00:00 time: 0.138060 data_time: 0.009056 memory: 2189 2022/09/20 01:52:37 - mmengine - INFO - Evaluating CocoMetric... 2022/09/20 01:52:50 - mmengine - INFO - Epoch(val) [190][407/407] coco/AP: 0.624973 coco/AP .5: 0.860935 coco/AP .75: 0.706129 coco/AP (M): 0.597884 coco/AP (L): 0.684704 coco/AR: 0.687232 coco/AR .5: 0.904912 coco/AR .75: 0.763696 coco/AR (M): 0.648375 coco/AR (L): 0.742661 2022/09/20 01:52:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_180.pth is removed 2022/09/20 01:52:53 - mmengine - INFO - The best checkpoint with 0.6250 coco/AP at 190 epoch is saved to best_coco/AP_epoch_190.pth. 2022/09/20 01:53:18 - mmengine - INFO - Epoch(train) [191][50/293] lr: 5.000000e-05 eta: 0:41:37 time: 0.505522 data_time: 0.080642 memory: 13365 loss_kpt: 0.014607 acc_pose: 0.694000 loss: 0.014607 2022/09/20 01:53:43 - mmengine - INFO - Epoch(train) [191][100/293] lr: 5.000000e-05 eta: 0:41:16 time: 0.493860 data_time: 0.079410 memory: 13365 loss_kpt: 0.014681 acc_pose: 0.688526 loss: 0.014681 2022/09/20 01:54:08 - mmengine - INFO - Epoch(train) [191][150/293] lr: 5.000000e-05 eta: 0:40:54 time: 0.496790 data_time: 0.072503 memory: 13365 loss_kpt: 0.014334 acc_pose: 0.724419 loss: 0.014334 2022/09/20 01:54:33 - mmengine - INFO - Epoch(train) [191][200/293] lr: 5.000000e-05 eta: 0:40:33 time: 0.500832 data_time: 0.078022 memory: 13365 loss_kpt: 0.014717 acc_pose: 0.652082 loss: 0.014717 2022/09/20 01:54:57 - mmengine - INFO - Epoch(train) [191][250/293] lr: 5.000000e-05 eta: 0:40:12 time: 0.488471 data_time: 0.074238 memory: 13365 loss_kpt: 0.014883 acc_pose: 0.663926 loss: 0.014883 2022/09/20 01:55:19 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:55:37 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:55:43 - mmengine - INFO - Epoch(train) [192][50/293] lr: 5.000000e-05 eta: 0:39:31 time: 0.498918 data_time: 0.088391 memory: 13365 loss_kpt: 0.014448 acc_pose: 0.686090 loss: 0.014448 2022/09/20 01:56:09 - mmengine - INFO - Epoch(train) [192][100/293] lr: 5.000000e-05 eta: 0:39:09 time: 0.505129 data_time: 0.077110 memory: 13365 loss_kpt: 0.014592 acc_pose: 0.671854 loss: 0.014592 2022/09/20 01:56:34 - mmengine - INFO - Epoch(train) [192][150/293] lr: 5.000000e-05 eta: 0:38:48 time: 0.499134 data_time: 0.068957 memory: 13365 loss_kpt: 0.014719 acc_pose: 0.700366 loss: 0.014719 2022/09/20 01:56:59 - mmengine - INFO - Epoch(train) [192][200/293] lr: 5.000000e-05 eta: 0:38:27 time: 0.498193 data_time: 0.072804 memory: 13365 loss_kpt: 0.014431 acc_pose: 0.687908 loss: 0.014431 2022/09/20 01:57:23 - mmengine - INFO - Epoch(train) [192][250/293] lr: 5.000000e-05 eta: 0:38:06 time: 0.484713 data_time: 0.072597 memory: 13365 loss_kpt: 0.014355 acc_pose: 0.689619 loss: 0.014355 2022/09/20 01:57:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 01:58:09 - mmengine - INFO - Epoch(train) [193][50/293] lr: 5.000000e-05 eta: 0:37:24 time: 0.500036 data_time: 0.085333 memory: 13365 loss_kpt: 0.014421 acc_pose: 0.680694 loss: 0.014421 2022/09/20 01:58:34 - mmengine - INFO - Epoch(train) [193][100/293] lr: 5.000000e-05 eta: 0:37:03 time: 0.497283 data_time: 0.069814 memory: 13365 loss_kpt: 0.014455 acc_pose: 0.707201 loss: 0.014455 2022/09/20 01:58:59 - mmengine - INFO - Epoch(train) [193][150/293] lr: 5.000000e-05 eta: 0:36:42 time: 0.491465 data_time: 0.073209 memory: 13365 loss_kpt: 0.014611 acc_pose: 0.640332 loss: 0.014611 2022/09/20 01:59:23 - mmengine - INFO - Epoch(train) [193][200/293] lr: 5.000000e-05 eta: 0:36:21 time: 0.487222 data_time: 0.073426 memory: 13365 loss_kpt: 0.014314 acc_pose: 0.617176 loss: 0.014314 2022/09/20 01:59:48 - mmengine - INFO - Epoch(train) [193][250/293] lr: 5.000000e-05 eta: 0:36:00 time: 0.504787 data_time: 0.080183 memory: 13365 loss_kpt: 0.014771 acc_pose: 0.689120 loss: 0.014771 2022/09/20 02:00:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:00:36 - mmengine - INFO - Epoch(train) [194][50/293] lr: 5.000000e-05 eta: 0:35:18 time: 0.509579 data_time: 0.095632 memory: 13365 loss_kpt: 0.014620 acc_pose: 0.719205 loss: 0.014620 2022/09/20 02:01:01 - mmengine - INFO - Epoch(train) [194][100/293] lr: 5.000000e-05 eta: 0:34:57 time: 0.489918 data_time: 0.070171 memory: 13365 loss_kpt: 0.014715 acc_pose: 0.658420 loss: 0.014715 2022/09/20 02:01:26 - mmengine - INFO - Epoch(train) [194][150/293] lr: 5.000000e-05 eta: 0:34:36 time: 0.499124 data_time: 0.077559 memory: 13365 loss_kpt: 0.014594 acc_pose: 0.712413 loss: 0.014594 2022/09/20 02:01:50 - mmengine - INFO - Epoch(train) [194][200/293] lr: 5.000000e-05 eta: 0:34:15 time: 0.491531 data_time: 0.070319 memory: 13365 loss_kpt: 0.014231 acc_pose: 0.714612 loss: 0.014231 2022/09/20 02:02:15 - mmengine - INFO - Epoch(train) [194][250/293] lr: 5.000000e-05 eta: 0:33:54 time: 0.496058 data_time: 0.073990 memory: 13365 loss_kpt: 0.014613 acc_pose: 0.678164 loss: 0.014613 2022/09/20 02:02:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:03:01 - mmengine - INFO - Epoch(train) [195][50/293] lr: 5.000000e-05 eta: 0:33:12 time: 0.503805 data_time: 0.083244 memory: 13365 loss_kpt: 0.014373 acc_pose: 0.710990 loss: 0.014373 2022/09/20 02:03:25 - mmengine - INFO - Epoch(train) [195][100/293] lr: 5.000000e-05 eta: 0:32:51 time: 0.488690 data_time: 0.069571 memory: 13365 loss_kpt: 0.014468 acc_pose: 0.683072 loss: 0.014468 2022/09/20 02:03:50 - mmengine - INFO - Epoch(train) [195][150/293] lr: 5.000000e-05 eta: 0:32:30 time: 0.490097 data_time: 0.070402 memory: 13365 loss_kpt: 0.014547 acc_pose: 0.698768 loss: 0.014547 2022/09/20 02:03:54 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:04:15 - mmengine - INFO - Epoch(train) [195][200/293] lr: 5.000000e-05 eta: 0:32:09 time: 0.490042 data_time: 0.078658 memory: 13365 loss_kpt: 0.014592 acc_pose: 0.682564 loss: 0.014592 2022/09/20 02:04:39 - mmengine - INFO - Epoch(train) [195][250/293] lr: 5.000000e-05 eta: 0:31:47 time: 0.483581 data_time: 0.074859 memory: 13365 loss_kpt: 0.014736 acc_pose: 0.696519 loss: 0.014736 2022/09/20 02:05:00 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:05:26 - mmengine - INFO - Epoch(train) [196][50/293] lr: 5.000000e-05 eta: 0:31:06 time: 0.516573 data_time: 0.085431 memory: 13365 loss_kpt: 0.014514 acc_pose: 0.735504 loss: 0.014514 2022/09/20 02:05:50 - mmengine - INFO - Epoch(train) [196][100/293] lr: 5.000000e-05 eta: 0:30:45 time: 0.495764 data_time: 0.075938 memory: 13365 loss_kpt: 0.014644 acc_pose: 0.680138 loss: 0.014644 2022/09/20 02:06:15 - mmengine - INFO - Epoch(train) [196][150/293] lr: 5.000000e-05 eta: 0:30:24 time: 0.488966 data_time: 0.076331 memory: 13365 loss_kpt: 0.014669 acc_pose: 0.681159 loss: 0.014669 2022/09/20 02:06:40 - mmengine - INFO - Epoch(train) [196][200/293] lr: 5.000000e-05 eta: 0:30:03 time: 0.502691 data_time: 0.070487 memory: 13365 loss_kpt: 0.014687 acc_pose: 0.691786 loss: 0.014687 2022/09/20 02:07:05 - mmengine - INFO - Epoch(train) [196][250/293] lr: 5.000000e-05 eta: 0:29:41 time: 0.491745 data_time: 0.072006 memory: 13365 loss_kpt: 0.014201 acc_pose: 0.704598 loss: 0.014201 2022/09/20 02:07:25 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:07:51 - mmengine - INFO - Epoch(train) [197][50/293] lr: 5.000000e-05 eta: 0:29:00 time: 0.507521 data_time: 0.082494 memory: 13365 loss_kpt: 0.014359 acc_pose: 0.671022 loss: 0.014359 2022/09/20 02:08:16 - mmengine - INFO - Epoch(train) [197][100/293] lr: 5.000000e-05 eta: 0:28:39 time: 0.493066 data_time: 0.078390 memory: 13365 loss_kpt: 0.014341 acc_pose: 0.713920 loss: 0.014341 2022/09/20 02:08:40 - mmengine - INFO - Epoch(train) [197][150/293] lr: 5.000000e-05 eta: 0:28:18 time: 0.496361 data_time: 0.078392 memory: 13365 loss_kpt: 0.014461 acc_pose: 0.690813 loss: 0.014461 2022/09/20 02:09:05 - mmengine - INFO - Epoch(train) [197][200/293] lr: 5.000000e-05 eta: 0:27:56 time: 0.484803 data_time: 0.065822 memory: 13365 loss_kpt: 0.014560 acc_pose: 0.732674 loss: 0.014560 2022/09/20 02:09:29 - mmengine - INFO - Epoch(train) [197][250/293] lr: 5.000000e-05 eta: 0:27:35 time: 0.488699 data_time: 0.072845 memory: 13365 loss_kpt: 0.014492 acc_pose: 0.670603 loss: 0.014492 2022/09/20 02:09:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:10:15 - mmengine - INFO - Epoch(train) [198][50/293] lr: 5.000000e-05 eta: 0:26:54 time: 0.503669 data_time: 0.090315 memory: 13365 loss_kpt: 0.014882 acc_pose: 0.670329 loss: 0.014882 2022/09/20 02:10:40 - mmengine - INFO - Epoch(train) [198][100/293] lr: 5.000000e-05 eta: 0:26:33 time: 0.492519 data_time: 0.075237 memory: 13365 loss_kpt: 0.014392 acc_pose: 0.704798 loss: 0.014392 2022/09/20 02:11:05 - mmengine - INFO - Epoch(train) [198][150/293] lr: 5.000000e-05 eta: 0:26:12 time: 0.500417 data_time: 0.068533 memory: 13365 loss_kpt: 0.014632 acc_pose: 0.658112 loss: 0.014632 2022/09/20 02:11:30 - mmengine - INFO - Epoch(train) [198][200/293] lr: 5.000000e-05 eta: 0:25:50 time: 0.496394 data_time: 0.073339 memory: 13365 loss_kpt: 0.014839 acc_pose: 0.700094 loss: 0.014839 2022/09/20 02:11:55 - mmengine - INFO - Epoch(train) [198][250/293] lr: 5.000000e-05 eta: 0:25:29 time: 0.498677 data_time: 0.076077 memory: 13365 loss_kpt: 0.014661 acc_pose: 0.699646 loss: 0.014661 2022/09/20 02:12:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:12:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:12:41 - mmengine - INFO - Epoch(train) [199][50/293] lr: 5.000000e-05 eta: 0:24:48 time: 0.504452 data_time: 0.086160 memory: 13365 loss_kpt: 0.014588 acc_pose: 0.718366 loss: 0.014588 2022/09/20 02:13:06 - mmengine - INFO - Epoch(train) [199][100/293] lr: 5.000000e-05 eta: 0:24:27 time: 0.498183 data_time: 0.074797 memory: 13365 loss_kpt: 0.014528 acc_pose: 0.690159 loss: 0.014528 2022/09/20 02:13:30 - mmengine - INFO - Epoch(train) [199][150/293] lr: 5.000000e-05 eta: 0:24:06 time: 0.490547 data_time: 0.072838 memory: 13365 loss_kpt: 0.014411 acc_pose: 0.709972 loss: 0.014411 2022/09/20 02:13:55 - mmengine - INFO - Epoch(train) [199][200/293] lr: 5.000000e-05 eta: 0:23:44 time: 0.508404 data_time: 0.073397 memory: 13365 loss_kpt: 0.014897 acc_pose: 0.720832 loss: 0.014897 2022/09/20 02:14:21 - mmengine - INFO - Epoch(train) [199][250/293] lr: 5.000000e-05 eta: 0:23:23 time: 0.506934 data_time: 0.070709 memory: 13365 loss_kpt: 0.014405 acc_pose: 0.712586 loss: 0.014405 2022/09/20 02:14:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:15:07 - mmengine - INFO - Epoch(train) [200][50/293] lr: 5.000000e-05 eta: 0:22:42 time: 0.505366 data_time: 0.079349 memory: 13365 loss_kpt: 0.014776 acc_pose: 0.626959 loss: 0.014776 2022/09/20 02:15:32 - mmengine - INFO - Epoch(train) [200][100/293] lr: 5.000000e-05 eta: 0:22:21 time: 0.488696 data_time: 0.076878 memory: 13365 loss_kpt: 0.014846 acc_pose: 0.722725 loss: 0.014846 2022/09/20 02:15:56 - mmengine - INFO - Epoch(train) [200][150/293] lr: 5.000000e-05 eta: 0:22:00 time: 0.490271 data_time: 0.068663 memory: 13365 loss_kpt: 0.014621 acc_pose: 0.685668 loss: 0.014621 2022/09/20 02:16:21 - mmengine - INFO - Epoch(train) [200][200/293] lr: 5.000000e-05 eta: 0:21:38 time: 0.496036 data_time: 0.069992 memory: 13365 loss_kpt: 0.014710 acc_pose: 0.678261 loss: 0.014710 2022/09/20 02:16:46 - mmengine - INFO - Epoch(train) [200][250/293] lr: 5.000000e-05 eta: 0:21:17 time: 0.506438 data_time: 0.078208 memory: 13365 loss_kpt: 0.014558 acc_pose: 0.666268 loss: 0.014558 2022/09/20 02:17:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:17:07 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/09/20 02:17:20 - mmengine - INFO - Epoch(val) [200][50/407] eta: 0:00:55 time: 0.154223 data_time: 0.021233 memory: 13365 2022/09/20 02:17:27 - mmengine - INFO - Epoch(val) [200][100/407] eta: 0:00:45 time: 0.146897 data_time: 0.012506 memory: 2189 2022/09/20 02:17:34 - mmengine - INFO - Epoch(val) [200][150/407] eta: 0:00:36 time: 0.143926 data_time: 0.011515 memory: 2189 2022/09/20 02:17:42 - mmengine - INFO - Epoch(val) [200][200/407] eta: 0:00:30 time: 0.147809 data_time: 0.013376 memory: 2189 2022/09/20 02:17:49 - mmengine - INFO - Epoch(val) [200][250/407] eta: 0:00:23 time: 0.147917 data_time: 0.013291 memory: 2189 2022/09/20 02:17:57 - mmengine - INFO - Epoch(val) [200][300/407] eta: 0:00:16 time: 0.151564 data_time: 0.017954 memory: 2189 2022/09/20 02:18:05 - mmengine - INFO - Epoch(val) [200][350/407] eta: 0:00:08 time: 0.154810 data_time: 0.020686 memory: 2189 2022/09/20 02:18:11 - mmengine - INFO - Epoch(val) [200][400/407] eta: 0:00:00 time: 0.137906 data_time: 0.008978 memory: 2189 2022/09/20 02:18:43 - mmengine - INFO - Evaluating CocoMetric... 2022/09/20 02:18:56 - mmengine - INFO - Epoch(val) [200][407/407] coco/AP: 0.626862 coco/AP .5: 0.862161 coco/AP .75: 0.709443 coco/AP (M): 0.599599 coco/AP (L): 0.685837 coco/AR: 0.688807 coco/AR .5: 0.906486 coco/AR .75: 0.765271 coco/AR (M): 0.650778 coco/AR (L): 0.743107 2022/09/20 02:18:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/liqikai/work_dirs/20220919/cpm_256/best_coco/AP_epoch_190.pth is removed 2022/09/20 02:18:59 - mmengine - INFO - The best checkpoint with 0.6269 coco/AP at 200 epoch is saved to best_coco/AP_epoch_200.pth. 2022/09/20 02:19:24 - mmengine - INFO - Epoch(train) [201][50/293] lr: 5.000000e-06 eta: 0:20:36 time: 0.500052 data_time: 0.083210 memory: 13365 loss_kpt: 0.014582 acc_pose: 0.670452 loss: 0.014582 2022/09/20 02:19:48 - mmengine - INFO - Epoch(train) [201][100/293] lr: 5.000000e-06 eta: 0:20:15 time: 0.487767 data_time: 0.070864 memory: 13365 loss_kpt: 0.014504 acc_pose: 0.708763 loss: 0.014504 2022/09/20 02:20:12 - mmengine - INFO - Epoch(train) [201][150/293] lr: 5.000000e-06 eta: 0:19:54 time: 0.483185 data_time: 0.075822 memory: 13365 loss_kpt: 0.014349 acc_pose: 0.695744 loss: 0.014349 2022/09/20 02:20:37 - mmengine - INFO - Epoch(train) [201][200/293] lr: 5.000000e-06 eta: 0:19:32 time: 0.499015 data_time: 0.074436 memory: 13365 loss_kpt: 0.014645 acc_pose: 0.698315 loss: 0.014645 2022/09/20 02:21:02 - mmengine - INFO - Epoch(train) [201][250/293] lr: 5.000000e-06 eta: 0:19:11 time: 0.502212 data_time: 0.070501 memory: 13365 loss_kpt: 0.014704 acc_pose: 0.651054 loss: 0.014704 2022/09/20 02:21:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:21:49 - mmengine - INFO - Epoch(train) [202][50/293] lr: 5.000000e-06 eta: 0:18:31 time: 0.499394 data_time: 0.078844 memory: 13365 loss_kpt: 0.014109 acc_pose: 0.681294 loss: 0.014109 2022/09/20 02:22:13 - mmengine - INFO - Epoch(train) [202][100/293] lr: 5.000000e-06 eta: 0:18:09 time: 0.484198 data_time: 0.071378 memory: 13365 loss_kpt: 0.014548 acc_pose: 0.669248 loss: 0.014548 2022/09/20 02:22:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:22:38 - mmengine - INFO - Epoch(train) [202][150/293] lr: 5.000000e-06 eta: 0:17:48 time: 0.504633 data_time: 0.075874 memory: 13365 loss_kpt: 0.014194 acc_pose: 0.683033 loss: 0.014194 2022/09/20 02:23:03 - mmengine - INFO - Epoch(train) [202][200/293] lr: 5.000000e-06 eta: 0:17:27 time: 0.488915 data_time: 0.071721 memory: 13365 loss_kpt: 0.014609 acc_pose: 0.759761 loss: 0.014609 2022/09/20 02:23:27 - mmengine - INFO - Epoch(train) [202][250/293] lr: 5.000000e-06 eta: 0:17:05 time: 0.498585 data_time: 0.074497 memory: 13365 loss_kpt: 0.014314 acc_pose: 0.663461 loss: 0.014314 2022/09/20 02:23:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:24:14 - mmengine - INFO - Epoch(train) [203][50/293] lr: 5.000000e-06 eta: 0:16:25 time: 0.500787 data_time: 0.080838 memory: 13365 loss_kpt: 0.014654 acc_pose: 0.647809 loss: 0.014654 2022/09/20 02:24:38 - mmengine - INFO - Epoch(train) [203][100/293] lr: 5.000000e-06 eta: 0:16:03 time: 0.490341 data_time: 0.070741 memory: 13365 loss_kpt: 0.014349 acc_pose: 0.710460 loss: 0.014349 2022/09/20 02:25:03 - mmengine - INFO - Epoch(train) [203][150/293] lr: 5.000000e-06 eta: 0:15:42 time: 0.486812 data_time: 0.070789 memory: 13365 loss_kpt: 0.014657 acc_pose: 0.647435 loss: 0.014657 2022/09/20 02:25:27 - mmengine - INFO - Epoch(train) [203][200/293] lr: 5.000000e-06 eta: 0:15:21 time: 0.494322 data_time: 0.078419 memory: 13365 loss_kpt: 0.014350 acc_pose: 0.731047 loss: 0.014350 2022/09/20 02:25:52 - mmengine - INFO - Epoch(train) [203][250/293] lr: 5.000000e-06 eta: 0:14:59 time: 0.502233 data_time: 0.072434 memory: 13365 loss_kpt: 0.014436 acc_pose: 0.666013 loss: 0.014436 2022/09/20 02:26:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:26:38 - mmengine - INFO - Epoch(train) [204][50/293] lr: 5.000000e-06 eta: 0:14:19 time: 0.501319 data_time: 0.081258 memory: 13365 loss_kpt: 0.014520 acc_pose: 0.706223 loss: 0.014520 2022/09/20 02:27:02 - mmengine - INFO - Epoch(train) [204][100/293] lr: 5.000000e-06 eta: 0:13:57 time: 0.481763 data_time: 0.070155 memory: 13365 loss_kpt: 0.014476 acc_pose: 0.720997 loss: 0.014476 2022/09/20 02:27:27 - mmengine - INFO - Epoch(train) [204][150/293] lr: 5.000000e-06 eta: 0:13:36 time: 0.487484 data_time: 0.069786 memory: 13365 loss_kpt: 0.014559 acc_pose: 0.660105 loss: 0.014559 2022/09/20 02:27:52 - mmengine - INFO - Epoch(train) [204][200/293] lr: 5.000000e-06 eta: 0:13:15 time: 0.499536 data_time: 0.076767 memory: 13365 loss_kpt: 0.014503 acc_pose: 0.767215 loss: 0.014503 2022/09/20 02:28:16 - mmengine - INFO - Epoch(train) [204][250/293] lr: 5.000000e-06 eta: 0:12:53 time: 0.482375 data_time: 0.070768 memory: 13365 loss_kpt: 0.014261 acc_pose: 0.696292 loss: 0.014261 2022/09/20 02:28:37 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:29:03 - mmengine - INFO - Epoch(train) [205][50/293] lr: 5.000000e-06 eta: 0:12:13 time: 0.510587 data_time: 0.093639 memory: 13365 loss_kpt: 0.014398 acc_pose: 0.754411 loss: 0.014398 2022/09/20 02:29:27 - mmengine - INFO - Epoch(train) [205][100/293] lr: 5.000000e-06 eta: 0:11:51 time: 0.494920 data_time: 0.073798 memory: 13365 loss_kpt: 0.014583 acc_pose: 0.708688 loss: 0.014583 2022/09/20 02:29:52 - mmengine - INFO - Epoch(train) [205][150/293] lr: 5.000000e-06 eta: 0:11:30 time: 0.494122 data_time: 0.068863 memory: 13365 loss_kpt: 0.014799 acc_pose: 0.724584 loss: 0.014799 2022/09/20 02:30:17 - mmengine - INFO - Epoch(train) [205][200/293] lr: 5.000000e-06 eta: 0:11:09 time: 0.492444 data_time: 0.073589 memory: 13365 loss_kpt: 0.014304 acc_pose: 0.693513 loss: 0.014304 2022/09/20 02:30:30 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:30:41 - mmengine - INFO - Epoch(train) [205][250/293] lr: 5.000000e-06 eta: 0:10:47 time: 0.481462 data_time: 0.069791 memory: 13365 loss_kpt: 0.014886 acc_pose: 0.663468 loss: 0.014886 2022/09/20 02:31:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:31:28 - mmengine - INFO - Epoch(train) [206][50/293] lr: 5.000000e-06 eta: 0:10:07 time: 0.504756 data_time: 0.085272 memory: 13365 loss_kpt: 0.014445 acc_pose: 0.662443 loss: 0.014445 2022/09/20 02:31:52 - mmengine - INFO - Epoch(train) [206][100/293] lr: 5.000000e-06 eta: 0:09:46 time: 0.488604 data_time: 0.070375 memory: 13365 loss_kpt: 0.014444 acc_pose: 0.672929 loss: 0.014444 2022/09/20 02:32:17 - mmengine - INFO - Epoch(train) [206][150/293] lr: 5.000000e-06 eta: 0:09:24 time: 0.490496 data_time: 0.072180 memory: 13365 loss_kpt: 0.014490 acc_pose: 0.729136 loss: 0.014490 2022/09/20 02:32:41 - mmengine - INFO - Epoch(train) [206][200/293] lr: 5.000000e-06 eta: 0:09:03 time: 0.495375 data_time: 0.078530 memory: 13365 loss_kpt: 0.014369 acc_pose: 0.665286 loss: 0.014369 2022/09/20 02:33:06 - mmengine - INFO - Epoch(train) [206][250/293] lr: 5.000000e-06 eta: 0:08:41 time: 0.500334 data_time: 0.075739 memory: 13365 loss_kpt: 0.014493 acc_pose: 0.709512 loss: 0.014493 2022/09/20 02:33:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:33:53 - mmengine - INFO - Epoch(train) [207][50/293] lr: 5.000000e-06 eta: 0:08:01 time: 0.509854 data_time: 0.086465 memory: 13365 loss_kpt: 0.014412 acc_pose: 0.732436 loss: 0.014412 2022/09/20 02:34:18 - mmengine - INFO - Epoch(train) [207][100/293] lr: 5.000000e-06 eta: 0:07:40 time: 0.492014 data_time: 0.070829 memory: 13365 loss_kpt: 0.014529 acc_pose: 0.654214 loss: 0.014529 2022/09/20 02:34:42 - mmengine - INFO - Epoch(train) [207][150/293] lr: 5.000000e-06 eta: 0:07:18 time: 0.488298 data_time: 0.071134 memory: 13365 loss_kpt: 0.014681 acc_pose: 0.734824 loss: 0.014681 2022/09/20 02:35:06 - mmengine - INFO - Epoch(train) [207][200/293] lr: 5.000000e-06 eta: 0:06:57 time: 0.489754 data_time: 0.075315 memory: 13365 loss_kpt: 0.014324 acc_pose: 0.688553 loss: 0.014324 2022/09/20 02:35:31 - mmengine - INFO - Epoch(train) [207][250/293] lr: 5.000000e-06 eta: 0:06:35 time: 0.480907 data_time: 0.072107 memory: 13365 loss_kpt: 0.014640 acc_pose: 0.657549 loss: 0.014640 2022/09/20 02:35:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:36:17 - mmengine - INFO - Epoch(train) [208][50/293] lr: 5.000000e-06 eta: 0:05:55 time: 0.501711 data_time: 0.082537 memory: 13365 loss_kpt: 0.014729 acc_pose: 0.659083 loss: 0.014729 2022/09/20 02:36:41 - mmengine - INFO - Epoch(train) [208][100/293] lr: 5.000000e-06 eta: 0:05:34 time: 0.488614 data_time: 0.071201 memory: 13365 loss_kpt: 0.014779 acc_pose: 0.738369 loss: 0.014779 2022/09/20 02:37:05 - mmengine - INFO - Epoch(train) [208][150/293] lr: 5.000000e-06 eta: 0:05:12 time: 0.489555 data_time: 0.073780 memory: 13365 loss_kpt: 0.014438 acc_pose: 0.642755 loss: 0.014438 2022/09/20 02:37:30 - mmengine - INFO - Epoch(train) [208][200/293] lr: 5.000000e-06 eta: 0:04:51 time: 0.498818 data_time: 0.072933 memory: 13365 loss_kpt: 0.014695 acc_pose: 0.703449 loss: 0.014695 2022/09/20 02:37:56 - mmengine - INFO - Epoch(train) [208][250/293] lr: 5.000000e-06 eta: 0:04:30 time: 0.501560 data_time: 0.071982 memory: 13365 loss_kpt: 0.014420 acc_pose: 0.668514 loss: 0.014420 2022/09/20 02:38:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:38:41 - mmengine - INFO - Epoch(train) [209][50/293] lr: 5.000000e-06 eta: 0:03:50 time: 0.503304 data_time: 0.088105 memory: 13365 loss_kpt: 0.014498 acc_pose: 0.705639 loss: 0.014498 2022/09/20 02:38:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:39:06 - mmengine - INFO - Epoch(train) [209][100/293] lr: 5.000000e-06 eta: 0:03:28 time: 0.504921 data_time: 0.078723 memory: 13365 loss_kpt: 0.014270 acc_pose: 0.716196 loss: 0.014270 2022/09/20 02:39:31 - mmengine - INFO - Epoch(train) [209][150/293] lr: 5.000000e-06 eta: 0:03:07 time: 0.492446 data_time: 0.069353 memory: 13365 loss_kpt: 0.014646 acc_pose: 0.650309 loss: 0.014646 2022/09/20 02:39:55 - mmengine - INFO - Epoch(train) [209][200/293] lr: 5.000000e-06 eta: 0:02:45 time: 0.481439 data_time: 0.069703 memory: 13365 loss_kpt: 0.014638 acc_pose: 0.709005 loss: 0.014638 2022/09/20 02:40:19 - mmengine - INFO - Epoch(train) [209][250/293] lr: 5.000000e-06 eta: 0:02:24 time: 0.488030 data_time: 0.075886 memory: 13365 loss_kpt: 0.014592 acc_pose: 0.699495 loss: 0.014592 2022/09/20 02:40:40 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:41:06 - mmengine - INFO - Epoch(train) [210][50/293] lr: 5.000000e-06 eta: 0:01:44 time: 0.510003 data_time: 0.081450 memory: 13365 loss_kpt: 0.014465 acc_pose: 0.743482 loss: 0.014465 2022/09/20 02:41:31 - mmengine - INFO - Epoch(train) [210][100/293] lr: 5.000000e-06 eta: 0:01:22 time: 0.495547 data_time: 0.077543 memory: 13365 loss_kpt: 0.014294 acc_pose: 0.705039 loss: 0.014294 2022/09/20 02:41:56 - mmengine - INFO - Epoch(train) [210][150/293] lr: 5.000000e-06 eta: 0:01:01 time: 0.500269 data_time: 0.074521 memory: 13365 loss_kpt: 0.014685 acc_pose: 0.664242 loss: 0.014685 2022/09/20 02:42:21 - mmengine - INFO - Epoch(train) [210][200/293] lr: 5.000000e-06 eta: 0:00:39 time: 0.495674 data_time: 0.075996 memory: 13365 loss_kpt: 0.014756 acc_pose: 0.692691 loss: 0.014756 2022/09/20 02:42:46 - mmengine - INFO - Epoch(train) [210][250/293] lr: 5.000000e-06 eta: 0:00:18 time: 0.503041 data_time: 0.075299 memory: 13365 loss_kpt: 0.014541 acc_pose: 0.667355 loss: 0.014541 2022/09/20 02:43:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb64-210e_coco-256x192_20220919_173103 2022/09/20 02:43:07 - mmengine - INFO - Saving checkpoint at 210 epochs 2022/09/20 02:43:19 - mmengine - INFO - Epoch(val) [210][50/407] eta: 0:00:55 time: 0.154459 data_time: 0.021108 memory: 13365 2022/09/20 02:43:26 - mmengine - INFO - Epoch(val) [210][100/407] eta: 0:00:45 time: 0.146755 data_time: 0.011211 memory: 2189 2022/09/20 02:43:34 - mmengine - INFO - Epoch(val) [210][150/407] eta: 0:00:38 time: 0.150047 data_time: 0.015366 memory: 2189 2022/09/20 02:43:41 - mmengine - INFO - Epoch(val) [210][200/407] eta: 0:00:29 time: 0.144509 data_time: 0.011345 memory: 2189 2022/09/20 02:43:49 - mmengine - INFO - Epoch(val) [210][250/407] eta: 0:00:23 time: 0.151642 data_time: 0.018759 memory: 2189 2022/09/20 02:43:56 - mmengine - INFO - Epoch(val) [210][300/407] eta: 0:00:15 time: 0.143453 data_time: 0.010256 memory: 2189 2022/09/20 02:44:03 - mmengine - INFO - Epoch(val) [210][350/407] eta: 0:00:08 time: 0.150145 data_time: 0.013888 memory: 2189 2022/09/20 02:44:10 - mmengine - INFO - Epoch(val) [210][400/407] eta: 0:00:00 time: 0.140835 data_time: 0.009692 memory: 2189 2022/09/20 02:44:42 - mmengine - INFO - Evaluating CocoMetric... 2022/09/20 02:44:54 - mmengine - INFO - Epoch(val) [210][407/407] coco/AP: 0.626432 coco/AP .5: 0.862394 coco/AP .75: 0.707152 coco/AP (M): 0.599619 coco/AP (L): 0.685514 coco/AR: 0.688870 coco/AR .5: 0.905542 coco/AR .75: 0.764798 coco/AR (M): 0.650533 coco/AR (L): 0.743553