2022/10/10 16:06:42 - 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: 787669926 GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/petrelfs/share/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) PyTorch: 1.12.0+cu113 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (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_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.2.1 - Built with CuDNN 8.3.2 - 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= -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=1.12.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.0+cu113 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 ------------------------------------------------------------ 2022/10/10 16:06:43 - mmengine - INFO - Config: default_scope = 'mmpose' default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=50), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=10, max_keep_ckpts=1, save_best='coco/AP', rule='greater'), sampler_seed=dict(type='DistSamplerSeedHook'), visualization=dict(type='PoseVisualizationHook', enable=False)) custom_hooks = [dict(type='SyncBuffersHook')] env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='PoseLocalVisualizer', vis_backends=[dict(type='LocalVisBackend')], name='visualizer') log_processor = dict( type='LogProcessor', window_size=50, by_epoch=True, num_digits=6) log_level = 'INFO' load_from = None resume = False file_client_args = dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' })) train_cfg = dict(by_epoch=True, max_epochs=210, val_interval=10) val_cfg = dict() test_cfg = dict() optim_wrapper = dict(optimizer=dict(type='Adam', lr=0.0005)) param_scheduler = [ dict( type='LinearLR', begin=0, end=500, start_factor=0.001, by_epoch=False), dict( type='MultiStepLR', begin=0, end=210, milestones=[170, 200], gamma=0.1, by_epoch=True) ] auto_scale_lr = dict(base_batch_size=512) codec = dict( type='MSRAHeatmap', input_size=(288, 384), heatmap_size=(36, 48), sigma=3) model = dict( type='TopdownPoseEstimator', data_preprocessor=dict( type='PoseDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True), backbone=dict( type='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=(288, 384), heatmap_size=(36, 48), sigma=3)), test_cfg=dict(flip_test=True, flip_mode='heatmap', shift_heatmap=True)) dataset_type = 'CocoDataset' data_mode = 'topdown' data_root = 'data/coco/' train_pipeline = [ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='RandomFlip', direction='horizontal'), dict(type='RandomHalfBody'), dict(type='RandomBBoxTransform'), dict(type='TopdownAffine', input_size=(288, 384)), dict( type='GenerateTarget', target_type='heatmap', encoder=dict( type='MSRAHeatmap', input_size=(288, 384), heatmap_size=(36, 48), sigma=3)), dict(type='PackPoseInputs') ] val_pipeline = [ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='TopdownAffine', input_size=(288, 384)), dict(type='PackPoseInputs') ] train_dataloader = dict( batch_size=32, num_workers=2, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='CocoDataset', data_root='data/coco/', data_mode='topdown', ann_file='annotations/person_keypoints_train2017.json', data_prefix=dict(img='train2017/'), pipeline=[ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='RandomFlip', direction='horizontal'), dict(type='RandomHalfBody'), dict(type='RandomBBoxTransform'), dict(type='TopdownAffine', input_size=(288, 384)), dict( type='GenerateTarget', target_type='heatmap', encoder=dict( type='MSRAHeatmap', input_size=(288, 384), heatmap_size=(36, 48), sigma=3)), dict(type='PackPoseInputs') ])) val_dataloader = dict( batch_size=32, num_workers=2, persistent_workers=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False, round_up=False), dataset=dict( type='CocoDataset', data_root='data/coco/', data_mode='topdown', ann_file='annotations/person_keypoints_val2017.json', bbox_file= 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json', data_prefix=dict(img='val2017/'), test_mode=True, pipeline=[ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='TopdownAffine', input_size=(288, 384)), dict(type='PackPoseInputs') ])) test_dataloader = dict( batch_size=32, num_workers=2, persistent_workers=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False, round_up=False), dataset=dict( type='CocoDataset', data_root='data/coco/', data_mode='topdown', ann_file='annotations/person_keypoints_val2017.json', bbox_file= 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json', data_prefix=dict(img='val2017/'), test_mode=True, pipeline=[ dict( type='LoadImage', file_client_args=dict( backend='petrel', path_mapping=dict({ './data/': 's3://openmmlab/datasets/detection/', 'data/': 's3://openmmlab/datasets/detection/' }))), dict(type='GetBBoxCenterScale'), dict(type='TopdownAffine', input_size=(288, 384)), dict(type='PackPoseInputs') ])) val_evaluator = dict( type='CocoMetric', ann_file='data/coco/annotations/person_keypoints_val2017.json') test_evaluator = dict( type='CocoMetric', ann_file='data/coco/annotations/person_keypoints_val2017.json') launcher = 'slurm' work_dir = 'work_dirs/20221010/cpm_384/' 2022/10/10 16:07:18 - 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. 2022/10/10 16:07:18 - 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. 2022/10/10 16:07:18 - 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. 2022/10/10 16:07:18 - 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. 2022/10/10 16:07:18 - 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. 2022/10/10 16:07:18 - 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. 2022/10/10 16:07:18 - 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. 2022/10/10 16:07:18 - 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. 2022/10/10 16:07:22 - 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. 2022/10/10 16:07:24 - 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. 2022/10/10 16:07:24 - 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. 2022/10/10 16:07:24 - 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. 2022/10/10 16:07:24 - 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 2022/10/10 16:07:24 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384 by HardDiskBackend. 2022/10/10 16:08:10 - mmengine - INFO - Epoch(train) [1][50/586] lr: 4.954910e-05 eta: 1 day, 7:34:36 time: 0.924126 data_time: 0.207887 memory: 15677 loss_kpt: 0.049724 acc_pose: 0.086001 loss: 0.049724 2022/10/10 16:08:31 - mmengine - INFO - Epoch(train) [1][100/586] lr: 9.959920e-05 eta: 22:52:47 time: 0.415620 data_time: 0.030265 memory: 15677 loss_kpt: 0.042853 acc_pose: 0.171542 loss: 0.042853 2022/10/10 16:08:51 - mmengine - INFO - Epoch(train) [1][150/586] lr: 1.496493e-04 eta: 19:44:22 time: 0.394756 data_time: 0.024924 memory: 15677 loss_kpt: 0.040770 acc_pose: 0.204865 loss: 0.040770 2022/10/10 16:09:10 - mmengine - INFO - Epoch(train) [1][200/586] lr: 1.996994e-04 eta: 18:08:20 time: 0.391526 data_time: 0.026218 memory: 15677 loss_kpt: 0.038714 acc_pose: 0.243228 loss: 0.038714 2022/10/10 16:09:30 - mmengine - INFO - Epoch(train) [1][250/586] lr: 2.497495e-04 eta: 17:12:15 time: 0.395590 data_time: 0.025130 memory: 15677 loss_kpt: 0.038908 acc_pose: 0.206352 loss: 0.038908 2022/10/10 16:09:51 - mmengine - INFO - Epoch(train) [1][300/586] lr: 2.997996e-04 eta: 16:40:55 time: 0.413633 data_time: 0.027997 memory: 15677 loss_kpt: 0.036516 acc_pose: 0.163748 loss: 0.036516 2022/10/10 16:10:11 - mmengine - INFO - Epoch(train) [1][350/586] lr: 3.498497e-04 eta: 16:16:45 time: 0.407904 data_time: 0.025254 memory: 15677 loss_kpt: 0.036061 acc_pose: 0.248029 loss: 0.036061 2022/10/10 16:10:31 - mmengine - INFO - Epoch(train) [1][400/586] lr: 3.998998e-04 eta: 15:56:16 time: 0.399006 data_time: 0.023689 memory: 15677 loss_kpt: 0.035932 acc_pose: 0.280472 loss: 0.035932 2022/10/10 16:10:51 - mmengine - INFO - Epoch(train) [1][450/586] lr: 4.499499e-04 eta: 15:40:54 time: 0.401824 data_time: 0.025725 memory: 15677 loss_kpt: 0.035500 acc_pose: 0.311917 loss: 0.035500 2022/10/10 16:11:12 - mmengine - INFO - Epoch(train) [1][500/586] lr: 5.000000e-04 eta: 15:30:54 time: 0.413294 data_time: 0.022342 memory: 15677 loss_kpt: 0.035430 acc_pose: 0.283912 loss: 0.035430 2022/10/10 16:11:32 - mmengine - INFO - Epoch(train) [1][550/586] lr: 5.000000e-04 eta: 15:21:30 time: 0.407145 data_time: 0.022579 memory: 15677 loss_kpt: 0.035378 acc_pose: 0.299618 loss: 0.035378 2022/10/10 16:11:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:12:06 - mmengine - INFO - Epoch(train) [2][50/586] lr: 5.000000e-04 eta: 14:20:32 time: 0.400294 data_time: 0.030037 memory: 15677 loss_kpt: 0.033868 acc_pose: 0.298622 loss: 0.033868 2022/10/10 16:12:26 - mmengine - INFO - Epoch(train) [2][100/586] lr: 5.000000e-04 eta: 14:16:20 time: 0.395874 data_time: 0.022796 memory: 15677 loss_kpt: 0.032377 acc_pose: 0.325351 loss: 0.032377 2022/10/10 16:12:46 - mmengine - INFO - Epoch(train) [2][150/586] lr: 5.000000e-04 eta: 14:14:22 time: 0.408171 data_time: 0.022923 memory: 15677 loss_kpt: 0.032321 acc_pose: 0.387893 loss: 0.032321 2022/10/10 16:13:06 - mmengine - INFO - Epoch(train) [2][200/586] lr: 5.000000e-04 eta: 14:11:51 time: 0.402361 data_time: 0.025633 memory: 15677 loss_kpt: 0.031442 acc_pose: 0.421642 loss: 0.031442 2022/10/10 16:13:26 - mmengine - INFO - Epoch(train) [2][250/586] lr: 5.000000e-04 eta: 14:09:14 time: 0.399381 data_time: 0.024660 memory: 15677 loss_kpt: 0.032055 acc_pose: 0.324544 loss: 0.032055 2022/10/10 16:13:46 - mmengine - INFO - Epoch(train) [2][300/586] lr: 5.000000e-04 eta: 14:06:14 time: 0.393815 data_time: 0.023678 memory: 15677 loss_kpt: 0.031763 acc_pose: 0.369533 loss: 0.031763 2022/10/10 16:14:06 - mmengine - INFO - Epoch(train) [2][350/586] lr: 5.000000e-04 eta: 14:04:54 time: 0.406483 data_time: 0.022733 memory: 15677 loss_kpt: 0.030456 acc_pose: 0.486629 loss: 0.030456 2022/10/10 16:14:26 - mmengine - INFO - Epoch(train) [2][400/586] lr: 5.000000e-04 eta: 14:03:20 time: 0.403228 data_time: 0.025349 memory: 15677 loss_kpt: 0.030314 acc_pose: 0.314744 loss: 0.030314 2022/10/10 16:14:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:14:46 - mmengine - INFO - Epoch(train) [2][450/586] lr: 5.000000e-04 eta: 14:00:51 time: 0.392824 data_time: 0.023580 memory: 15677 loss_kpt: 0.030456 acc_pose: 0.327398 loss: 0.030456 2022/10/10 16:15:06 - mmengine - INFO - Epoch(train) [2][500/586] lr: 5.000000e-04 eta: 13:58:33 time: 0.392514 data_time: 0.023526 memory: 15677 loss_kpt: 0.029930 acc_pose: 0.402109 loss: 0.029930 2022/10/10 16:15:26 - mmengine - INFO - Epoch(train) [2][550/586] lr: 5.000000e-04 eta: 13:57:24 time: 0.403506 data_time: 0.025387 memory: 15677 loss_kpt: 0.030132 acc_pose: 0.398538 loss: 0.030132 2022/10/10 16:15:40 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:16:00 - mmengine - INFO - Epoch(train) [3][50/586] lr: 5.000000e-04 eta: 13:31:28 time: 0.403755 data_time: 0.030370 memory: 15677 loss_kpt: 0.029626 acc_pose: 0.441407 loss: 0.029626 2022/10/10 16:16:20 - mmengine - INFO - Epoch(train) [3][100/586] lr: 5.000000e-04 eta: 13:30:42 time: 0.394083 data_time: 0.024344 memory: 15677 loss_kpt: 0.029459 acc_pose: 0.400116 loss: 0.029459 2022/10/10 16:16:40 - mmengine - INFO - Epoch(train) [3][150/586] lr: 5.000000e-04 eta: 13:30:02 time: 0.395169 data_time: 0.024049 memory: 15677 loss_kpt: 0.029739 acc_pose: 0.398027 loss: 0.029739 2022/10/10 16:17:00 - mmengine - INFO - Epoch(train) [3][200/586] lr: 5.000000e-04 eta: 13:30:08 time: 0.405063 data_time: 0.026035 memory: 15677 loss_kpt: 0.029065 acc_pose: 0.420757 loss: 0.029065 2022/10/10 16:17:20 - mmengine - INFO - Epoch(train) [3][250/586] lr: 5.000000e-04 eta: 13:29:47 time: 0.399160 data_time: 0.024585 memory: 15677 loss_kpt: 0.028920 acc_pose: 0.494448 loss: 0.028920 2022/10/10 16:17:40 - mmengine - INFO - Epoch(train) [3][300/586] lr: 5.000000e-04 eta: 13:29:12 time: 0.395804 data_time: 0.024470 memory: 15677 loss_kpt: 0.029580 acc_pose: 0.504828 loss: 0.029580 2022/10/10 16:17:59 - mmengine - INFO - Epoch(train) [3][350/586] lr: 5.000000e-04 eta: 13:28:31 time: 0.394201 data_time: 0.025014 memory: 15677 loss_kpt: 0.028057 acc_pose: 0.397191 loss: 0.028057 2022/10/10 16:18:20 - mmengine - INFO - Epoch(train) [3][400/586] lr: 5.000000e-04 eta: 13:28:38 time: 0.405925 data_time: 0.024803 memory: 15677 loss_kpt: 0.028091 acc_pose: 0.457416 loss: 0.028091 2022/10/10 16:18:40 - mmengine - INFO - Epoch(train) [3][450/586] lr: 5.000000e-04 eta: 13:28:32 time: 0.403337 data_time: 0.022989 memory: 15677 loss_kpt: 0.028068 acc_pose: 0.409611 loss: 0.028068 2022/10/10 16:19:00 - mmengine - INFO - Epoch(train) [3][500/586] lr: 5.000000e-04 eta: 13:28:11 time: 0.399216 data_time: 0.023014 memory: 15677 loss_kpt: 0.028375 acc_pose: 0.451571 loss: 0.028375 2022/10/10 16:19:19 - mmengine - INFO - Epoch(train) [3][550/586] lr: 5.000000e-04 eta: 13:27:27 time: 0.392401 data_time: 0.024475 memory: 15677 loss_kpt: 0.027864 acc_pose: 0.476605 loss: 0.027864 2022/10/10 16:19:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:19:54 - mmengine - INFO - Epoch(train) [4][50/586] lr: 5.000000e-04 eta: 13:11:23 time: 0.409500 data_time: 0.033918 memory: 15677 loss_kpt: 0.027428 acc_pose: 0.419073 loss: 0.027428 2022/10/10 16:20:14 - mmengine - INFO - Epoch(train) [4][100/586] lr: 5.000000e-04 eta: 13:11:29 time: 0.399694 data_time: 0.025238 memory: 15677 loss_kpt: 0.027789 acc_pose: 0.452087 loss: 0.027789 2022/10/10 16:20:34 - mmengine - INFO - Epoch(train) [4][150/586] lr: 5.000000e-04 eta: 13:11:32 time: 0.398702 data_time: 0.028582 memory: 15677 loss_kpt: 0.027461 acc_pose: 0.334753 loss: 0.027461 2022/10/10 16:20:54 - mmengine - INFO - Epoch(train) [4][200/586] lr: 5.000000e-04 eta: 13:11:21 time: 0.394789 data_time: 0.024285 memory: 15677 loss_kpt: 0.026774 acc_pose: 0.461851 loss: 0.026774 2022/10/10 16:21:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:21:14 - mmengine - INFO - Epoch(train) [4][250/586] lr: 5.000000e-04 eta: 13:11:46 time: 0.406958 data_time: 0.023730 memory: 15677 loss_kpt: 0.026766 acc_pose: 0.482489 loss: 0.026766 2022/10/10 16:21:34 - mmengine - INFO - Epoch(train) [4][300/586] lr: 5.000000e-04 eta: 13:11:50 time: 0.400660 data_time: 0.022362 memory: 15677 loss_kpt: 0.026771 acc_pose: 0.538955 loss: 0.026771 2022/10/10 16:21:54 - mmengine - INFO - Epoch(train) [4][350/586] lr: 5.000000e-04 eta: 13:11:42 time: 0.396627 data_time: 0.024967 memory: 15677 loss_kpt: 0.027372 acc_pose: 0.410466 loss: 0.027372 2022/10/10 16:22:13 - mmengine - INFO - Epoch(train) [4][400/586] lr: 5.000000e-04 eta: 13:11:22 time: 0.392677 data_time: 0.022235 memory: 15677 loss_kpt: 0.026369 acc_pose: 0.438578 loss: 0.026369 2022/10/10 16:22:33 - mmengine - INFO - Epoch(train) [4][450/586] lr: 5.000000e-04 eta: 13:11:09 time: 0.394971 data_time: 0.023550 memory: 15677 loss_kpt: 0.027072 acc_pose: 0.405966 loss: 0.027072 2022/10/10 16:22:54 - mmengine - INFO - Epoch(train) [4][500/586] lr: 5.000000e-04 eta: 13:11:26 time: 0.406398 data_time: 0.026710 memory: 15677 loss_kpt: 0.027342 acc_pose: 0.565068 loss: 0.027342 2022/10/10 16:23:13 - mmengine - INFO - Epoch(train) [4][550/586] lr: 5.000000e-04 eta: 13:11:19 time: 0.397938 data_time: 0.021807 memory: 15677 loss_kpt: 0.026615 acc_pose: 0.482969 loss: 0.026615 2022/10/10 16:23:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:23:47 - mmengine - INFO - Epoch(train) [5][50/586] lr: 5.000000e-04 eta: 12:59:08 time: 0.399761 data_time: 0.031418 memory: 15677 loss_kpt: 0.026825 acc_pose: 0.557938 loss: 0.026825 2022/10/10 16:24:07 - mmengine - INFO - Epoch(train) [5][100/586] lr: 5.000000e-04 eta: 12:59:24 time: 0.401839 data_time: 0.025315 memory: 15677 loss_kpt: 0.025905 acc_pose: 0.540176 loss: 0.025905 2022/10/10 16:24:28 - mmengine - INFO - Epoch(train) [5][150/586] lr: 5.000000e-04 eta: 12:59:52 time: 0.407098 data_time: 0.024958 memory: 15677 loss_kpt: 0.026504 acc_pose: 0.448965 loss: 0.026504 2022/10/10 16:24:48 - mmengine - INFO - Epoch(train) [5][200/586] lr: 5.000000e-04 eta: 12:59:57 time: 0.398478 data_time: 0.028284 memory: 15677 loss_kpt: 0.026399 acc_pose: 0.525296 loss: 0.026399 2022/10/10 16:25:07 - mmengine - INFO - Epoch(train) [5][250/586] lr: 5.000000e-04 eta: 12:59:49 time: 0.393146 data_time: 0.024622 memory: 15677 loss_kpt: 0.025900 acc_pose: 0.497042 loss: 0.025900 2022/10/10 16:25:27 - mmengine - INFO - Epoch(train) [5][300/586] lr: 5.000000e-04 eta: 12:59:58 time: 0.401157 data_time: 0.023697 memory: 15677 loss_kpt: 0.026537 acc_pose: 0.559969 loss: 0.026537 2022/10/10 16:25:48 - mmengine - INFO - Epoch(train) [5][350/586] lr: 5.000000e-04 eta: 13:00:25 time: 0.409553 data_time: 0.027000 memory: 15677 loss_kpt: 0.025957 acc_pose: 0.461799 loss: 0.025957 2022/10/10 16:26:08 - mmengine - INFO - Epoch(train) [5][400/586] lr: 5.000000e-04 eta: 13:00:22 time: 0.396106 data_time: 0.026967 memory: 15677 loss_kpt: 0.025097 acc_pose: 0.486913 loss: 0.025097 2022/10/10 16:26:27 - mmengine - INFO - Epoch(train) [5][450/586] lr: 5.000000e-04 eta: 13:00:17 time: 0.395887 data_time: 0.023005 memory: 15677 loss_kpt: 0.025806 acc_pose: 0.454788 loss: 0.025806 2022/10/10 16:26:47 - mmengine - INFO - Epoch(train) [5][500/586] lr: 5.000000e-04 eta: 13:00:03 time: 0.391993 data_time: 0.022818 memory: 15677 loss_kpt: 0.025879 acc_pose: 0.567547 loss: 0.025879 2022/10/10 16:27:07 - mmengine - INFO - Epoch(train) [5][550/586] lr: 5.000000e-04 eta: 13:00:15 time: 0.404605 data_time: 0.023620 memory: 15677 loss_kpt: 0.025819 acc_pose: 0.473703 loss: 0.025819 2022/10/10 16:27:22 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:27:42 - mmengine - INFO - Epoch(train) [6][50/586] lr: 5.000000e-04 eta: 12:50:40 time: 0.401268 data_time: 0.031992 memory: 15677 loss_kpt: 0.026119 acc_pose: 0.514972 loss: 0.026119 2022/10/10 16:27:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:28:01 - mmengine - INFO - Epoch(train) [6][100/586] lr: 5.000000e-04 eta: 12:50:45 time: 0.397141 data_time: 0.025517 memory: 15677 loss_kpt: 0.025645 acc_pose: 0.586330 loss: 0.025645 2022/10/10 16:28:21 - mmengine - INFO - Epoch(train) [6][150/586] lr: 5.000000e-04 eta: 12:50:38 time: 0.391903 data_time: 0.024362 memory: 15677 loss_kpt: 0.025331 acc_pose: 0.478768 loss: 0.025331 2022/10/10 16:28:42 - mmengine - INFO - Epoch(train) [6][200/586] lr: 5.000000e-04 eta: 12:51:16 time: 0.415328 data_time: 0.026294 memory: 15677 loss_kpt: 0.025380 acc_pose: 0.473697 loss: 0.025380 2022/10/10 16:29:02 - mmengine - INFO - Epoch(train) [6][250/586] lr: 5.000000e-04 eta: 12:51:16 time: 0.395813 data_time: 0.023800 memory: 15677 loss_kpt: 0.024979 acc_pose: 0.599640 loss: 0.024979 2022/10/10 16:29:21 - mmengine - INFO - Epoch(train) [6][300/586] lr: 5.000000e-04 eta: 12:51:09 time: 0.392593 data_time: 0.026543 memory: 15677 loss_kpt: 0.025864 acc_pose: 0.404543 loss: 0.025864 2022/10/10 16:29:41 - mmengine - INFO - Epoch(train) [6][350/586] lr: 5.000000e-04 eta: 12:50:58 time: 0.391056 data_time: 0.025127 memory: 15677 loss_kpt: 0.025030 acc_pose: 0.506399 loss: 0.025030 2022/10/10 16:30:01 - mmengine - INFO - Epoch(train) [6][400/586] lr: 5.000000e-04 eta: 12:51:14 time: 0.405624 data_time: 0.023406 memory: 15677 loss_kpt: 0.025404 acc_pose: 0.446878 loss: 0.025404 2022/10/10 16:30:21 - mmengine - INFO - Epoch(train) [6][450/586] lr: 5.000000e-04 eta: 12:51:21 time: 0.401538 data_time: 0.026218 memory: 15677 loss_kpt: 0.025067 acc_pose: 0.547808 loss: 0.025067 2022/10/10 16:30:41 - mmengine - INFO - Epoch(train) [6][500/586] lr: 5.000000e-04 eta: 12:51:14 time: 0.393707 data_time: 0.024060 memory: 15677 loss_kpt: 0.025197 acc_pose: 0.526597 loss: 0.025197 2022/10/10 16:31:01 - mmengine - INFO - Epoch(train) [6][550/586] lr: 5.000000e-04 eta: 12:51:12 time: 0.396659 data_time: 0.024513 memory: 15677 loss_kpt: 0.025446 acc_pose: 0.489743 loss: 0.025446 2022/10/10 16:31:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:31:36 - mmengine - INFO - Epoch(train) [7][50/586] lr: 5.000000e-04 eta: 12:43:41 time: 0.416486 data_time: 0.031855 memory: 15677 loss_kpt: 0.024382 acc_pose: 0.490043 loss: 0.024382 2022/10/10 16:31:56 - mmengine - INFO - Epoch(train) [7][100/586] lr: 5.000000e-04 eta: 12:43:49 time: 0.399797 data_time: 0.030293 memory: 15677 loss_kpt: 0.024999 acc_pose: 0.480776 loss: 0.024999 2022/10/10 16:32:15 - mmengine - INFO - Epoch(train) [7][150/586] lr: 5.000000e-04 eta: 12:43:45 time: 0.392911 data_time: 0.023905 memory: 15677 loss_kpt: 0.024706 acc_pose: 0.538100 loss: 0.024706 2022/10/10 16:32:35 - mmengine - INFO - Epoch(train) [7][200/586] lr: 5.000000e-04 eta: 12:43:48 time: 0.397628 data_time: 0.022209 memory: 15677 loss_kpt: 0.025212 acc_pose: 0.529824 loss: 0.025212 2022/10/10 16:32:55 - mmengine - INFO - Epoch(train) [7][250/586] lr: 5.000000e-04 eta: 12:44:05 time: 0.407121 data_time: 0.023488 memory: 15677 loss_kpt: 0.024794 acc_pose: 0.443286 loss: 0.024794 2022/10/10 16:33:16 - mmengine - INFO - Epoch(train) [7][300/586] lr: 5.000000e-04 eta: 12:44:19 time: 0.405369 data_time: 0.022489 memory: 15677 loss_kpt: 0.024447 acc_pose: 0.586763 loss: 0.024447 2022/10/10 16:33:35 - mmengine - INFO - Epoch(train) [7][350/586] lr: 5.000000e-04 eta: 12:44:12 time: 0.392862 data_time: 0.026460 memory: 15677 loss_kpt: 0.025023 acc_pose: 0.644786 loss: 0.025023 2022/10/10 16:33:55 - mmengine - INFO - Epoch(train) [7][400/586] lr: 5.000000e-04 eta: 12:44:19 time: 0.401544 data_time: 0.029028 memory: 15677 loss_kpt: 0.024329 acc_pose: 0.492633 loss: 0.024329 2022/10/10 16:34:15 - mmengine - INFO - Epoch(train) [7][450/586] lr: 5.000000e-04 eta: 12:44:18 time: 0.397192 data_time: 0.023265 memory: 15677 loss_kpt: 0.024654 acc_pose: 0.533365 loss: 0.024654 2022/10/10 16:34:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:34:36 - mmengine - INFO - Epoch(train) [7][500/586] lr: 5.000000e-04 eta: 12:44:33 time: 0.408011 data_time: 0.025627 memory: 15677 loss_kpt: 0.024602 acc_pose: 0.521056 loss: 0.024602 2022/10/10 16:34:55 - mmengine - INFO - Epoch(train) [7][550/586] lr: 5.000000e-04 eta: 12:44:23 time: 0.391770 data_time: 0.022072 memory: 15677 loss_kpt: 0.024686 acc_pose: 0.551409 loss: 0.024686 2022/10/10 16:35:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:35:29 - mmengine - INFO - Epoch(train) [8][50/586] lr: 5.000000e-04 eta: 12:37:40 time: 0.404425 data_time: 0.029726 memory: 15677 loss_kpt: 0.023777 acc_pose: 0.528896 loss: 0.023777 2022/10/10 16:35:50 - mmengine - INFO - Epoch(train) [8][100/586] lr: 5.000000e-04 eta: 12:37:47 time: 0.401423 data_time: 0.022709 memory: 15677 loss_kpt: 0.024600 acc_pose: 0.584341 loss: 0.024600 2022/10/10 16:36:10 - mmengine - INFO - Epoch(train) [8][150/586] lr: 5.000000e-04 eta: 12:38:02 time: 0.406541 data_time: 0.023684 memory: 15677 loss_kpt: 0.023717 acc_pose: 0.507818 loss: 0.023717 2022/10/10 16:36:29 - mmengine - INFO - Epoch(train) [8][200/586] lr: 5.000000e-04 eta: 12:37:56 time: 0.392188 data_time: 0.022439 memory: 15677 loss_kpt: 0.023690 acc_pose: 0.551597 loss: 0.023690 2022/10/10 16:36:49 - mmengine - INFO - Epoch(train) [8][250/586] lr: 5.000000e-04 eta: 12:37:50 time: 0.392668 data_time: 0.023707 memory: 15677 loss_kpt: 0.024091 acc_pose: 0.479944 loss: 0.024091 2022/10/10 16:37:09 - mmengine - INFO - Epoch(train) [8][300/586] lr: 5.000000e-04 eta: 12:37:48 time: 0.396109 data_time: 0.022611 memory: 15677 loss_kpt: 0.023701 acc_pose: 0.574965 loss: 0.023701 2022/10/10 16:37:29 - mmengine - INFO - Epoch(train) [8][350/586] lr: 5.000000e-04 eta: 12:37:59 time: 0.405697 data_time: 0.025655 memory: 15677 loss_kpt: 0.023931 acc_pose: 0.586966 loss: 0.023931 2022/10/10 16:37:49 - mmengine - INFO - Epoch(train) [8][400/586] lr: 5.000000e-04 eta: 12:38:01 time: 0.399545 data_time: 0.021990 memory: 15677 loss_kpt: 0.023498 acc_pose: 0.511679 loss: 0.023498 2022/10/10 16:38:09 - mmengine - INFO - Epoch(train) [8][450/586] lr: 5.000000e-04 eta: 12:37:54 time: 0.392867 data_time: 0.022436 memory: 15677 loss_kpt: 0.024291 acc_pose: 0.496743 loss: 0.024291 2022/10/10 16:38:29 - mmengine - INFO - Epoch(train) [8][500/586] lr: 5.000000e-04 eta: 12:37:50 time: 0.395174 data_time: 0.021861 memory: 15677 loss_kpt: 0.023961 acc_pose: 0.597284 loss: 0.023961 2022/10/10 16:38:49 - mmengine - INFO - Epoch(train) [8][550/586] lr: 5.000000e-04 eta: 12:37:51 time: 0.400264 data_time: 0.023012 memory: 15677 loss_kpt: 0.023727 acc_pose: 0.476700 loss: 0.023727 2022/10/10 16:39:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:39:24 - mmengine - INFO - Epoch(train) [9][50/586] lr: 5.000000e-04 eta: 12:32:03 time: 0.408268 data_time: 0.034972 memory: 15677 loss_kpt: 0.024247 acc_pose: 0.521573 loss: 0.024247 2022/10/10 16:39:43 - mmengine - INFO - Epoch(train) [9][100/586] lr: 5.000000e-04 eta: 12:31:57 time: 0.392181 data_time: 0.022997 memory: 15677 loss_kpt: 0.024283 acc_pose: 0.549207 loss: 0.024283 2022/10/10 16:40:03 - mmengine - INFO - Epoch(train) [9][150/586] lr: 5.000000e-04 eta: 12:31:55 time: 0.395276 data_time: 0.022152 memory: 15677 loss_kpt: 0.023467 acc_pose: 0.524646 loss: 0.023467 2022/10/10 16:40:23 - mmengine - INFO - Epoch(train) [9][200/586] lr: 5.000000e-04 eta: 12:31:59 time: 0.400070 data_time: 0.022794 memory: 15677 loss_kpt: 0.024207 acc_pose: 0.538594 loss: 0.024207 2022/10/10 16:40:43 - mmengine - INFO - Epoch(train) [9][250/586] lr: 5.000000e-04 eta: 12:32:10 time: 0.407698 data_time: 0.028041 memory: 15677 loss_kpt: 0.023714 acc_pose: 0.529353 loss: 0.023714 2022/10/10 16:41:03 - mmengine - INFO - Epoch(train) [9][300/586] lr: 5.000000e-04 eta: 12:32:04 time: 0.393050 data_time: 0.023568 memory: 15677 loss_kpt: 0.023900 acc_pose: 0.529186 loss: 0.023900 2022/10/10 16:41:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:41:23 - mmengine - INFO - Epoch(train) [9][350/586] lr: 5.000000e-04 eta: 12:32:07 time: 0.400530 data_time: 0.025636 memory: 15677 loss_kpt: 0.023852 acc_pose: 0.548394 loss: 0.023852 2022/10/10 16:41:43 - mmengine - INFO - Epoch(train) [9][400/586] lr: 5.000000e-04 eta: 12:32:08 time: 0.400277 data_time: 0.027031 memory: 15677 loss_kpt: 0.024047 acc_pose: 0.609474 loss: 0.024047 2022/10/10 16:42:03 - mmengine - INFO - Epoch(train) [9][450/586] lr: 5.000000e-04 eta: 12:32:13 time: 0.403268 data_time: 0.026628 memory: 15677 loss_kpt: 0.024083 acc_pose: 0.544376 loss: 0.024083 2022/10/10 16:42:23 - mmengine - INFO - Epoch(train) [9][500/586] lr: 5.000000e-04 eta: 12:32:10 time: 0.396816 data_time: 0.023262 memory: 15677 loss_kpt: 0.023295 acc_pose: 0.561408 loss: 0.023295 2022/10/10 16:42:43 - mmengine - INFO - Epoch(train) [9][550/586] lr: 5.000000e-04 eta: 12:32:07 time: 0.397014 data_time: 0.024433 memory: 15677 loss_kpt: 0.023203 acc_pose: 0.551950 loss: 0.023203 2022/10/10 16:42:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:43:17 - mmengine - INFO - Epoch(train) [10][50/586] lr: 5.000000e-04 eta: 12:26:49 time: 0.401720 data_time: 0.031526 memory: 15677 loss_kpt: 0.023110 acc_pose: 0.584513 loss: 0.023110 2022/10/10 16:43:38 - mmengine - INFO - Epoch(train) [10][100/586] lr: 5.000000e-04 eta: 12:27:03 time: 0.410836 data_time: 0.024120 memory: 15677 loss_kpt: 0.023971 acc_pose: 0.597125 loss: 0.023971 2022/10/10 16:43:57 - mmengine - INFO - Epoch(train) [10][150/586] lr: 5.000000e-04 eta: 12:26:56 time: 0.391583 data_time: 0.024708 memory: 15677 loss_kpt: 0.024055 acc_pose: 0.507000 loss: 0.024055 2022/10/10 16:44:17 - mmengine - INFO - Epoch(train) [10][200/586] lr: 5.000000e-04 eta: 12:26:54 time: 0.397016 data_time: 0.022937 memory: 15677 loss_kpt: 0.023478 acc_pose: 0.605893 loss: 0.023478 2022/10/10 16:44:37 - mmengine - INFO - Epoch(train) [10][250/586] lr: 5.000000e-04 eta: 12:26:55 time: 0.399485 data_time: 0.023363 memory: 15677 loss_kpt: 0.023519 acc_pose: 0.511923 loss: 0.023519 2022/10/10 16:44:57 - mmengine - INFO - Epoch(train) [10][300/586] lr: 5.000000e-04 eta: 12:26:56 time: 0.400239 data_time: 0.022985 memory: 15677 loss_kpt: 0.023260 acc_pose: 0.520687 loss: 0.023260 2022/10/10 16:45:17 - mmengine - INFO - Epoch(train) [10][350/586] lr: 5.000000e-04 eta: 12:26:54 time: 0.398621 data_time: 0.023088 memory: 15677 loss_kpt: 0.023639 acc_pose: 0.568101 loss: 0.023639 2022/10/10 16:45:37 - mmengine - INFO - Epoch(train) [10][400/586] lr: 5.000000e-04 eta: 12:26:47 time: 0.392513 data_time: 0.024127 memory: 15677 loss_kpt: 0.022983 acc_pose: 0.590676 loss: 0.022983 2022/10/10 16:45:56 - mmengine - INFO - Epoch(train) [10][450/586] lr: 5.000000e-04 eta: 12:26:43 time: 0.396540 data_time: 0.025711 memory: 15677 loss_kpt: 0.023079 acc_pose: 0.645213 loss: 0.023079 2022/10/10 16:46:16 - mmengine - INFO - Epoch(train) [10][500/586] lr: 5.000000e-04 eta: 12:26:41 time: 0.399075 data_time: 0.022689 memory: 15677 loss_kpt: 0.022805 acc_pose: 0.542169 loss: 0.022805 2022/10/10 16:46:37 - mmengine - INFO - Epoch(train) [10][550/586] lr: 5.000000e-04 eta: 12:26:46 time: 0.405910 data_time: 0.024662 memory: 15677 loss_kpt: 0.022250 acc_pose: 0.592056 loss: 0.022250 2022/10/10 16:46:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:46:51 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/10/10 16:47:07 - mmengine - INFO - Epoch(val) [10][50/407] eta: 0:01:35 time: 0.266108 data_time: 0.081961 memory: 15677 2022/10/10 16:47:16 - mmengine - INFO - Epoch(val) [10][100/407] eta: 0:00:58 time: 0.190780 data_time: 0.009183 memory: 4213 2022/10/10 16:47:26 - mmengine - INFO - Epoch(val) [10][150/407] eta: 0:00:49 time: 0.190831 data_time: 0.009200 memory: 4213 2022/10/10 16:47:35 - mmengine - INFO - Epoch(val) [10][200/407] eta: 0:00:39 time: 0.189574 data_time: 0.008426 memory: 4213 2022/10/10 16:47:45 - mmengine - INFO - Epoch(val) [10][250/407] eta: 0:00:29 time: 0.190238 data_time: 0.009297 memory: 4213 2022/10/10 16:47:54 - mmengine - INFO - Epoch(val) [10][300/407] eta: 0:00:20 time: 0.189086 data_time: 0.008695 memory: 4213 2022/10/10 16:48:04 - mmengine - INFO - Epoch(val) [10][350/407] eta: 0:00:10 time: 0.190026 data_time: 0.008731 memory: 4213 2022/10/10 16:48:14 - mmengine - INFO - Epoch(val) [10][400/407] eta: 0:00:01 time: 0.201370 data_time: 0.019955 memory: 4213 2022/10/10 16:48:46 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 16:48:59 - mmengine - INFO - Epoch(val) [10][407/407] coco/AP: 0.465664 coco/AP .5: 0.757538 coco/AP .75: 0.497565 coco/AP (M): 0.443340 coco/AP (L): 0.513084 coco/AR: 0.526496 coco/AR .5: 0.808249 coco/AR .75: 0.567065 coco/AR (M): 0.492488 coco/AR (L): 0.574619 2022/10/10 16:49:01 - mmengine - INFO - The best checkpoint with 0.4657 coco/AP at 10 epoch is saved to best_coco/AP_epoch_10.pth. 2022/10/10 16:49:21 - mmengine - INFO - Epoch(train) [11][50/586] lr: 5.000000e-04 eta: 12:22:04 time: 0.406225 data_time: 0.033925 memory: 15677 loss_kpt: 0.023113 acc_pose: 0.587077 loss: 0.023113 2022/10/10 16:49:41 - mmengine - INFO - Epoch(train) [11][100/586] lr: 5.000000e-04 eta: 12:22:09 time: 0.404591 data_time: 0.024087 memory: 15677 loss_kpt: 0.022377 acc_pose: 0.601506 loss: 0.022377 2022/10/10 16:49:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:50:01 - mmengine - INFO - Epoch(train) [11][150/586] lr: 5.000000e-04 eta: 12:22:09 time: 0.398988 data_time: 0.024986 memory: 15677 loss_kpt: 0.022976 acc_pose: 0.527588 loss: 0.022976 2022/10/10 16:50:21 - mmengine - INFO - Epoch(train) [11][200/586] lr: 5.000000e-04 eta: 12:22:13 time: 0.404433 data_time: 0.026297 memory: 15677 loss_kpt: 0.022611 acc_pose: 0.631601 loss: 0.022611 2022/10/10 16:50:42 - mmengine - INFO - Epoch(train) [11][250/586] lr: 5.000000e-04 eta: 12:22:19 time: 0.406986 data_time: 0.029332 memory: 15677 loss_kpt: 0.023189 acc_pose: 0.607686 loss: 0.023189 2022/10/10 16:51:01 - mmengine - INFO - Epoch(train) [11][300/586] lr: 5.000000e-04 eta: 12:22:14 time: 0.395960 data_time: 0.026141 memory: 15677 loss_kpt: 0.022713 acc_pose: 0.583182 loss: 0.022713 2022/10/10 16:51:22 - mmengine - INFO - Epoch(train) [11][350/586] lr: 5.000000e-04 eta: 12:22:17 time: 0.403608 data_time: 0.024337 memory: 15677 loss_kpt: 0.022756 acc_pose: 0.577938 loss: 0.022756 2022/10/10 16:51:42 - mmengine - INFO - Epoch(train) [11][400/586] lr: 5.000000e-04 eta: 12:22:17 time: 0.401975 data_time: 0.023358 memory: 15677 loss_kpt: 0.022460 acc_pose: 0.527805 loss: 0.022460 2022/10/10 16:52:02 - mmengine - INFO - Epoch(train) [11][450/586] lr: 5.000000e-04 eta: 12:22:15 time: 0.399757 data_time: 0.027157 memory: 15677 loss_kpt: 0.022663 acc_pose: 0.558503 loss: 0.022663 2022/10/10 16:52:21 - mmengine - INFO - Epoch(train) [11][500/586] lr: 5.000000e-04 eta: 12:22:08 time: 0.394788 data_time: 0.024721 memory: 15677 loss_kpt: 0.022338 acc_pose: 0.597999 loss: 0.022338 2022/10/10 16:52:41 - mmengine - INFO - Epoch(train) [11][550/586] lr: 5.000000e-04 eta: 12:22:04 time: 0.397768 data_time: 0.026472 memory: 15677 loss_kpt: 0.022852 acc_pose: 0.623617 loss: 0.022852 2022/10/10 16:52:56 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:53:17 - mmengine - INFO - Epoch(train) [12][50/586] lr: 5.000000e-04 eta: 12:17:59 time: 0.419868 data_time: 0.034463 memory: 15677 loss_kpt: 0.022705 acc_pose: 0.503075 loss: 0.022705 2022/10/10 16:53:37 - mmengine - INFO - Epoch(train) [12][100/586] lr: 5.000000e-04 eta: 12:17:57 time: 0.399671 data_time: 0.027344 memory: 15677 loss_kpt: 0.022367 acc_pose: 0.590958 loss: 0.022367 2022/10/10 16:53:56 - mmengine - INFO - Epoch(train) [12][150/586] lr: 5.000000e-04 eta: 12:17:53 time: 0.396521 data_time: 0.023210 memory: 15677 loss_kpt: 0.022596 acc_pose: 0.618878 loss: 0.022596 2022/10/10 16:54:16 - mmengine - INFO - Epoch(train) [12][200/586] lr: 5.000000e-04 eta: 12:17:50 time: 0.398921 data_time: 0.024524 memory: 15677 loss_kpt: 0.022723 acc_pose: 0.602978 loss: 0.022723 2022/10/10 16:54:37 - mmengine - INFO - Epoch(train) [12][250/586] lr: 5.000000e-04 eta: 12:17:52 time: 0.403947 data_time: 0.024220 memory: 15677 loss_kpt: 0.022435 acc_pose: 0.535657 loss: 0.022435 2022/10/10 16:54:57 - mmengine - INFO - Epoch(train) [12][300/586] lr: 5.000000e-04 eta: 12:17:51 time: 0.401060 data_time: 0.023427 memory: 15677 loss_kpt: 0.022189 acc_pose: 0.623815 loss: 0.022189 2022/10/10 16:55:16 - mmengine - INFO - Epoch(train) [12][350/586] lr: 5.000000e-04 eta: 12:17:45 time: 0.396866 data_time: 0.024647 memory: 15677 loss_kpt: 0.022706 acc_pose: 0.529041 loss: 0.022706 2022/10/10 16:55:36 - mmengine - INFO - Epoch(train) [12][400/586] lr: 5.000000e-04 eta: 12:17:34 time: 0.390273 data_time: 0.023090 memory: 15677 loss_kpt: 0.022601 acc_pose: 0.548789 loss: 0.022601 2022/10/10 16:55:56 - mmengine - INFO - Epoch(train) [12][450/586] lr: 5.000000e-04 eta: 12:17:31 time: 0.398694 data_time: 0.022917 memory: 15677 loss_kpt: 0.022312 acc_pose: 0.515028 loss: 0.022312 2022/10/10 16:56:16 - mmengine - INFO - Epoch(train) [12][500/586] lr: 5.000000e-04 eta: 12:17:32 time: 0.405143 data_time: 0.023765 memory: 15677 loss_kpt: 0.022415 acc_pose: 0.576339 loss: 0.022415 2022/10/10 16:56:36 - mmengine - INFO - Epoch(train) [12][550/586] lr: 5.000000e-04 eta: 12:17:27 time: 0.398340 data_time: 0.026388 memory: 15677 loss_kpt: 0.022434 acc_pose: 0.630309 loss: 0.022434 2022/10/10 16:56:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:56:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 16:57:10 - mmengine - INFO - Epoch(train) [13][50/586] lr: 5.000000e-04 eta: 12:13:24 time: 0.399100 data_time: 0.031521 memory: 15677 loss_kpt: 0.022689 acc_pose: 0.579696 loss: 0.022689 2022/10/10 16:57:30 - mmengine - INFO - Epoch(train) [13][100/586] lr: 5.000000e-04 eta: 12:13:23 time: 0.401401 data_time: 0.023006 memory: 15677 loss_kpt: 0.022202 acc_pose: 0.584585 loss: 0.022202 2022/10/10 16:57:50 - mmengine - INFO - Epoch(train) [13][150/586] lr: 5.000000e-04 eta: 12:13:21 time: 0.400986 data_time: 0.022953 memory: 15677 loss_kpt: 0.022943 acc_pose: 0.630122 loss: 0.022943 2022/10/10 16:58:10 - mmengine - INFO - Epoch(train) [13][200/586] lr: 5.000000e-04 eta: 12:13:17 time: 0.398610 data_time: 0.027661 memory: 15677 loss_kpt: 0.022294 acc_pose: 0.646520 loss: 0.022294 2022/10/10 16:58:30 - mmengine - INFO - Epoch(train) [13][250/586] lr: 5.000000e-04 eta: 12:13:09 time: 0.393204 data_time: 0.024554 memory: 15677 loss_kpt: 0.022385 acc_pose: 0.647558 loss: 0.022385 2022/10/10 16:58:50 - mmengine - INFO - Epoch(train) [13][300/586] lr: 5.000000e-04 eta: 12:13:07 time: 0.401885 data_time: 0.023853 memory: 15677 loss_kpt: 0.022377 acc_pose: 0.565475 loss: 0.022377 2022/10/10 16:59:10 - mmengine - INFO - Epoch(train) [13][350/586] lr: 5.000000e-04 eta: 12:13:07 time: 0.403445 data_time: 0.024418 memory: 15677 loss_kpt: 0.022111 acc_pose: 0.608898 loss: 0.022111 2022/10/10 16:59:30 - mmengine - INFO - Epoch(train) [13][400/586] lr: 5.000000e-04 eta: 12:13:02 time: 0.398619 data_time: 0.023766 memory: 15677 loss_kpt: 0.021884 acc_pose: 0.642559 loss: 0.021884 2022/10/10 16:59:49 - mmengine - INFO - Epoch(train) [13][450/586] lr: 5.000000e-04 eta: 12:12:52 time: 0.392616 data_time: 0.026254 memory: 15677 loss_kpt: 0.022890 acc_pose: 0.528867 loss: 0.022890 2022/10/10 17:00:09 - mmengine - INFO - Epoch(train) [13][500/586] lr: 5.000000e-04 eta: 12:12:46 time: 0.396859 data_time: 0.027069 memory: 15677 loss_kpt: 0.021877 acc_pose: 0.684626 loss: 0.021877 2022/10/10 17:00:30 - mmengine - INFO - Epoch(train) [13][550/586] lr: 5.000000e-04 eta: 12:12:44 time: 0.403309 data_time: 0.023017 memory: 15677 loss_kpt: 0.021525 acc_pose: 0.589370 loss: 0.021525 2022/10/10 17:00:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:01:04 - mmengine - INFO - Epoch(train) [14][50/586] lr: 5.000000e-04 eta: 12:09:09 time: 0.412249 data_time: 0.031515 memory: 15677 loss_kpt: 0.022388 acc_pose: 0.573391 loss: 0.022388 2022/10/10 17:01:24 - mmengine - INFO - Epoch(train) [14][100/586] lr: 5.000000e-04 eta: 12:09:03 time: 0.397297 data_time: 0.024365 memory: 15677 loss_kpt: 0.021889 acc_pose: 0.498292 loss: 0.021889 2022/10/10 17:01:45 - mmengine - INFO - Epoch(train) [14][150/586] lr: 5.000000e-04 eta: 12:09:07 time: 0.409182 data_time: 0.025269 memory: 15677 loss_kpt: 0.021744 acc_pose: 0.651977 loss: 0.021744 2022/10/10 17:02:05 - mmengine - INFO - Epoch(train) [14][200/586] lr: 5.000000e-04 eta: 12:09:03 time: 0.400086 data_time: 0.023458 memory: 15677 loss_kpt: 0.021955 acc_pose: 0.553814 loss: 0.021955 2022/10/10 17:02:25 - mmengine - INFO - Epoch(train) [14][250/586] lr: 5.000000e-04 eta: 12:08:56 time: 0.396089 data_time: 0.024606 memory: 15677 loss_kpt: 0.022162 acc_pose: 0.543060 loss: 0.022162 2022/10/10 17:02:44 - mmengine - INFO - Epoch(train) [14][300/586] lr: 5.000000e-04 eta: 12:08:51 time: 0.399157 data_time: 0.027475 memory: 15677 loss_kpt: 0.022152 acc_pose: 0.604661 loss: 0.022152 2022/10/10 17:03:04 - mmengine - INFO - Epoch(train) [14][350/586] lr: 5.000000e-04 eta: 12:08:45 time: 0.397712 data_time: 0.022618 memory: 15677 loss_kpt: 0.022098 acc_pose: 0.608826 loss: 0.022098 2022/10/10 17:03:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:03:24 - mmengine - INFO - Epoch(train) [14][400/586] lr: 5.000000e-04 eta: 12:08:41 time: 0.401190 data_time: 0.025215 memory: 15677 loss_kpt: 0.021585 acc_pose: 0.564024 loss: 0.021585 2022/10/10 17:03:45 - mmengine - INFO - Epoch(train) [14][450/586] lr: 5.000000e-04 eta: 12:08:40 time: 0.404126 data_time: 0.023242 memory: 15677 loss_kpt: 0.021680 acc_pose: 0.516419 loss: 0.021680 2022/10/10 17:04:05 - mmengine - INFO - Epoch(train) [14][500/586] lr: 5.000000e-04 eta: 12:08:34 time: 0.398975 data_time: 0.023645 memory: 15677 loss_kpt: 0.021937 acc_pose: 0.607126 loss: 0.021937 2022/10/10 17:04:24 - mmengine - INFO - Epoch(train) [14][550/586] lr: 5.000000e-04 eta: 12:08:26 time: 0.396192 data_time: 0.024011 memory: 15677 loss_kpt: 0.021794 acc_pose: 0.509693 loss: 0.021794 2022/10/10 17:04:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:04:59 - mmengine - INFO - Epoch(train) [15][50/586] lr: 5.000000e-04 eta: 12:04:56 time: 0.399375 data_time: 0.032023 memory: 15677 loss_kpt: 0.021762 acc_pose: 0.557447 loss: 0.021762 2022/10/10 17:05:19 - mmengine - INFO - Epoch(train) [15][100/586] lr: 5.000000e-04 eta: 12:04:57 time: 0.408010 data_time: 0.022635 memory: 15677 loss_kpt: 0.022293 acc_pose: 0.608165 loss: 0.022293 2022/10/10 17:05:39 - mmengine - INFO - Epoch(train) [15][150/586] lr: 5.000000e-04 eta: 12:04:47 time: 0.392346 data_time: 0.024877 memory: 15677 loss_kpt: 0.021604 acc_pose: 0.573654 loss: 0.021604 2022/10/10 17:05:59 - mmengine - INFO - Epoch(train) [15][200/586] lr: 5.000000e-04 eta: 12:04:47 time: 0.405849 data_time: 0.024448 memory: 15677 loss_kpt: 0.021500 acc_pose: 0.621798 loss: 0.021500 2022/10/10 17:06:19 - mmengine - INFO - Epoch(train) [15][250/586] lr: 5.000000e-04 eta: 12:04:43 time: 0.401635 data_time: 0.024489 memory: 15677 loss_kpt: 0.022183 acc_pose: 0.565782 loss: 0.022183 2022/10/10 17:06:39 - mmengine - INFO - Epoch(train) [15][300/586] lr: 5.000000e-04 eta: 12:04:37 time: 0.399457 data_time: 0.024047 memory: 15677 loss_kpt: 0.022219 acc_pose: 0.693446 loss: 0.022219 2022/10/10 17:06:59 - mmengine - INFO - Epoch(train) [15][350/586] lr: 5.000000e-04 eta: 12:04:29 time: 0.395917 data_time: 0.028513 memory: 15677 loss_kpt: 0.022091 acc_pose: 0.635548 loss: 0.022091 2022/10/10 17:07:19 - mmengine - INFO - Epoch(train) [15][400/586] lr: 5.000000e-04 eta: 12:04:20 time: 0.394084 data_time: 0.023710 memory: 15677 loss_kpt: 0.021564 acc_pose: 0.457292 loss: 0.021564 2022/10/10 17:07:39 - mmengine - INFO - Epoch(train) [15][450/586] lr: 5.000000e-04 eta: 12:04:16 time: 0.402774 data_time: 0.023834 memory: 15677 loss_kpt: 0.021109 acc_pose: 0.647970 loss: 0.021109 2022/10/10 17:07:59 - mmengine - INFO - Epoch(train) [15][500/586] lr: 5.000000e-04 eta: 12:04:10 time: 0.399990 data_time: 0.025238 memory: 15677 loss_kpt: 0.021691 acc_pose: 0.543511 loss: 0.021691 2022/10/10 17:08:19 - mmengine - INFO - Epoch(train) [15][550/586] lr: 5.000000e-04 eta: 12:04:03 time: 0.397614 data_time: 0.026497 memory: 15677 loss_kpt: 0.021776 acc_pose: 0.657713 loss: 0.021776 2022/10/10 17:08:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:08:53 - mmengine - INFO - Epoch(train) [16][50/586] lr: 5.000000e-04 eta: 12:00:47 time: 0.401468 data_time: 0.032370 memory: 15677 loss_kpt: 0.021506 acc_pose: 0.592788 loss: 0.021506 2022/10/10 17:09:13 - mmengine - INFO - Epoch(train) [16][100/586] lr: 5.000000e-04 eta: 12:00:45 time: 0.403734 data_time: 0.025976 memory: 15677 loss_kpt: 0.020625 acc_pose: 0.477330 loss: 0.020625 2022/10/10 17:09:33 - mmengine - INFO - Epoch(train) [16][150/586] lr: 5.000000e-04 eta: 12:00:39 time: 0.400051 data_time: 0.026023 memory: 15677 loss_kpt: 0.021926 acc_pose: 0.612549 loss: 0.021926 2022/10/10 17:09:53 - mmengine - INFO - Epoch(train) [16][200/586] lr: 5.000000e-04 eta: 12:00:33 time: 0.398935 data_time: 0.030592 memory: 15677 loss_kpt: 0.021561 acc_pose: 0.530862 loss: 0.021561 2022/10/10 17:09:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:10:13 - mmengine - INFO - Epoch(train) [16][250/586] lr: 5.000000e-04 eta: 12:00:26 time: 0.398350 data_time: 0.025606 memory: 15677 loss_kpt: 0.022030 acc_pose: 0.542562 loss: 0.022030 2022/10/10 17:10:33 - mmengine - INFO - Epoch(train) [16][300/586] lr: 5.000000e-04 eta: 12:00:22 time: 0.403404 data_time: 0.024616 memory: 15677 loss_kpt: 0.022179 acc_pose: 0.614038 loss: 0.022179 2022/10/10 17:10:53 - mmengine - INFO - Epoch(train) [16][350/586] lr: 5.000000e-04 eta: 12:00:14 time: 0.396816 data_time: 0.026008 memory: 15677 loss_kpt: 0.021470 acc_pose: 0.552320 loss: 0.021470 2022/10/10 17:11:13 - mmengine - INFO - Epoch(train) [16][400/586] lr: 5.000000e-04 eta: 12:00:06 time: 0.396248 data_time: 0.025179 memory: 15677 loss_kpt: 0.021975 acc_pose: 0.642327 loss: 0.021975 2022/10/10 17:11:33 - mmengine - INFO - Epoch(train) [16][450/586] lr: 5.000000e-04 eta: 11:59:59 time: 0.399728 data_time: 0.029816 memory: 15677 loss_kpt: 0.021145 acc_pose: 0.579945 loss: 0.021145 2022/10/10 17:11:53 - mmengine - INFO - Epoch(train) [16][500/586] lr: 5.000000e-04 eta: 11:59:54 time: 0.401794 data_time: 0.029939 memory: 15677 loss_kpt: 0.021435 acc_pose: 0.617614 loss: 0.021435 2022/10/10 17:12:13 - mmengine - INFO - Epoch(train) [16][550/586] lr: 5.000000e-04 eta: 11:59:45 time: 0.396194 data_time: 0.026969 memory: 15677 loss_kpt: 0.021219 acc_pose: 0.537026 loss: 0.021219 2022/10/10 17:12:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:12:47 - mmengine - INFO - Epoch(train) [17][50/586] lr: 5.000000e-04 eta: 11:56:45 time: 0.407861 data_time: 0.034690 memory: 15677 loss_kpt: 0.021306 acc_pose: 0.645467 loss: 0.021306 2022/10/10 17:13:07 - mmengine - INFO - Epoch(train) [17][100/586] lr: 5.000000e-04 eta: 11:56:35 time: 0.394589 data_time: 0.029961 memory: 15677 loss_kpt: 0.021367 acc_pose: 0.636600 loss: 0.021367 2022/10/10 17:13:27 - mmengine - INFO - Epoch(train) [17][150/586] lr: 5.000000e-04 eta: 11:56:30 time: 0.401420 data_time: 0.026310 memory: 15677 loss_kpt: 0.021391 acc_pose: 0.607259 loss: 0.021391 2022/10/10 17:13:47 - mmengine - INFO - Epoch(train) [17][200/586] lr: 5.000000e-04 eta: 11:56:21 time: 0.395505 data_time: 0.024990 memory: 15677 loss_kpt: 0.021843 acc_pose: 0.599434 loss: 0.021843 2022/10/10 17:14:07 - mmengine - INFO - Epoch(train) [17][250/586] lr: 5.000000e-04 eta: 11:56:19 time: 0.406984 data_time: 0.026464 memory: 15677 loss_kpt: 0.021056 acc_pose: 0.589439 loss: 0.021056 2022/10/10 17:14:27 - mmengine - INFO - Epoch(train) [17][300/586] lr: 5.000000e-04 eta: 11:56:09 time: 0.394869 data_time: 0.029299 memory: 15677 loss_kpt: 0.021274 acc_pose: 0.649177 loss: 0.021274 2022/10/10 17:14:47 - mmengine - INFO - Epoch(train) [17][350/586] lr: 5.000000e-04 eta: 11:56:03 time: 0.400153 data_time: 0.025850 memory: 15677 loss_kpt: 0.021665 acc_pose: 0.656052 loss: 0.021665 2022/10/10 17:15:07 - mmengine - INFO - Epoch(train) [17][400/586] lr: 5.000000e-04 eta: 11:55:53 time: 0.395746 data_time: 0.026021 memory: 15677 loss_kpt: 0.022426 acc_pose: 0.578386 loss: 0.022426 2022/10/10 17:15:27 - mmengine - INFO - Epoch(train) [17][450/586] lr: 5.000000e-04 eta: 11:55:47 time: 0.400316 data_time: 0.024919 memory: 15677 loss_kpt: 0.021354 acc_pose: 0.708375 loss: 0.021354 2022/10/10 17:15:46 - mmengine - INFO - Epoch(train) [17][500/586] lr: 5.000000e-04 eta: 11:55:35 time: 0.391468 data_time: 0.024812 memory: 15677 loss_kpt: 0.021365 acc_pose: 0.662500 loss: 0.021365 2022/10/10 17:16:06 - mmengine - INFO - Epoch(train) [17][550/586] lr: 5.000000e-04 eta: 11:55:28 time: 0.401689 data_time: 0.025707 memory: 15677 loss_kpt: 0.021227 acc_pose: 0.614498 loss: 0.021227 2022/10/10 17:16:21 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:16:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:16:41 - mmengine - INFO - Epoch(train) [18][50/586] lr: 5.000000e-04 eta: 11:52:35 time: 0.403025 data_time: 0.032035 memory: 15677 loss_kpt: 0.020884 acc_pose: 0.615175 loss: 0.020884 2022/10/10 17:17:01 - mmengine - INFO - Epoch(train) [18][100/586] lr: 5.000000e-04 eta: 11:52:30 time: 0.403033 data_time: 0.024594 memory: 15677 loss_kpt: 0.020956 acc_pose: 0.590573 loss: 0.020956 2022/10/10 17:17:20 - mmengine - INFO - Epoch(train) [18][150/586] lr: 5.000000e-04 eta: 11:52:18 time: 0.391751 data_time: 0.024245 memory: 15677 loss_kpt: 0.020852 acc_pose: 0.614302 loss: 0.020852 2022/10/10 17:17:41 - mmengine - INFO - Epoch(train) [18][200/586] lr: 5.000000e-04 eta: 11:52:15 time: 0.405698 data_time: 0.029985 memory: 15677 loss_kpt: 0.020887 acc_pose: 0.669089 loss: 0.020887 2022/10/10 17:18:00 - mmengine - INFO - Epoch(train) [18][250/586] lr: 5.000000e-04 eta: 11:52:04 time: 0.393790 data_time: 0.024343 memory: 15677 loss_kpt: 0.021051 acc_pose: 0.547600 loss: 0.021051 2022/10/10 17:18:20 - mmengine - INFO - Epoch(train) [18][300/586] lr: 5.000000e-04 eta: 11:51:58 time: 0.401518 data_time: 0.027973 memory: 15677 loss_kpt: 0.021054 acc_pose: 0.636624 loss: 0.021054 2022/10/10 17:18:40 - mmengine - INFO - Epoch(train) [18][350/586] lr: 5.000000e-04 eta: 11:51:49 time: 0.396793 data_time: 0.025552 memory: 15677 loss_kpt: 0.021296 acc_pose: 0.572774 loss: 0.021296 2022/10/10 17:19:00 - mmengine - INFO - Epoch(train) [18][400/586] lr: 5.000000e-04 eta: 11:51:42 time: 0.400709 data_time: 0.027481 memory: 15677 loss_kpt: 0.021241 acc_pose: 0.539772 loss: 0.021241 2022/10/10 17:19:20 - mmengine - INFO - Epoch(train) [18][450/586] lr: 5.000000e-04 eta: 11:51:33 time: 0.397544 data_time: 0.024726 memory: 15677 loss_kpt: 0.020766 acc_pose: 0.604012 loss: 0.020766 2022/10/10 17:19:40 - mmengine - INFO - Epoch(train) [18][500/586] lr: 5.000000e-04 eta: 11:51:24 time: 0.398350 data_time: 0.024730 memory: 15677 loss_kpt: 0.021077 acc_pose: 0.588281 loss: 0.021077 2022/10/10 17:20:00 - mmengine - INFO - Epoch(train) [18][550/586] lr: 5.000000e-04 eta: 11:51:14 time: 0.396027 data_time: 0.023953 memory: 15677 loss_kpt: 0.021206 acc_pose: 0.687581 loss: 0.021206 2022/10/10 17:20:14 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:20:34 - mmengine - INFO - Epoch(train) [19][50/586] lr: 5.000000e-04 eta: 11:48:33 time: 0.408860 data_time: 0.034250 memory: 15677 loss_kpt: 0.021168 acc_pose: 0.572770 loss: 0.021168 2022/10/10 17:20:54 - mmengine - INFO - Epoch(train) [19][100/586] lr: 5.000000e-04 eta: 11:48:26 time: 0.401003 data_time: 0.025833 memory: 15677 loss_kpt: 0.020787 acc_pose: 0.579336 loss: 0.020787 2022/10/10 17:21:14 - mmengine - INFO - Epoch(train) [19][150/586] lr: 5.000000e-04 eta: 11:48:19 time: 0.400542 data_time: 0.025268 memory: 15677 loss_kpt: 0.021345 acc_pose: 0.637455 loss: 0.021345 2022/10/10 17:21:35 - mmengine - INFO - Epoch(train) [19][200/586] lr: 5.000000e-04 eta: 11:48:11 time: 0.400145 data_time: 0.027617 memory: 15677 loss_kpt: 0.020800 acc_pose: 0.631130 loss: 0.020800 2022/10/10 17:21:55 - mmengine - INFO - Epoch(train) [19][250/586] lr: 5.000000e-04 eta: 11:48:04 time: 0.400262 data_time: 0.028576 memory: 15677 loss_kpt: 0.021549 acc_pose: 0.566459 loss: 0.021549 2022/10/10 17:22:15 - mmengine - INFO - Epoch(train) [19][300/586] lr: 5.000000e-04 eta: 11:48:00 time: 0.407385 data_time: 0.028468 memory: 15677 loss_kpt: 0.021211 acc_pose: 0.618089 loss: 0.021211 2022/10/10 17:22:35 - mmengine - INFO - Epoch(train) [19][350/586] lr: 5.000000e-04 eta: 11:47:53 time: 0.401418 data_time: 0.025498 memory: 15677 loss_kpt: 0.021036 acc_pose: 0.594432 loss: 0.021036 2022/10/10 17:22:55 - mmengine - INFO - Epoch(train) [19][400/586] lr: 5.000000e-04 eta: 11:47:42 time: 0.394600 data_time: 0.023940 memory: 15677 loss_kpt: 0.020635 acc_pose: 0.543441 loss: 0.020635 2022/10/10 17:23:15 - mmengine - INFO - Epoch(train) [19][450/586] lr: 5.000000e-04 eta: 11:47:33 time: 0.397779 data_time: 0.027071 memory: 15677 loss_kpt: 0.021291 acc_pose: 0.597029 loss: 0.021291 2022/10/10 17:23:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:23:34 - mmengine - INFO - Epoch(train) [19][500/586] lr: 5.000000e-04 eta: 11:47:23 time: 0.396140 data_time: 0.026575 memory: 15677 loss_kpt: 0.021447 acc_pose: 0.541586 loss: 0.021447 2022/10/10 17:23:54 - mmengine - INFO - Epoch(train) [19][550/586] lr: 5.000000e-04 eta: 11:47:15 time: 0.400925 data_time: 0.027026 memory: 15677 loss_kpt: 0.020558 acc_pose: 0.598455 loss: 0.020558 2022/10/10 17:24:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:24:29 - mmengine - INFO - Epoch(train) [20][50/586] lr: 5.000000e-04 eta: 11:44:44 time: 0.416164 data_time: 0.034747 memory: 15677 loss_kpt: 0.020451 acc_pose: 0.644922 loss: 0.020451 2022/10/10 17:24:49 - mmengine - INFO - Epoch(train) [20][100/586] lr: 5.000000e-04 eta: 11:44:37 time: 0.401636 data_time: 0.029711 memory: 15677 loss_kpt: 0.021402 acc_pose: 0.592379 loss: 0.021402 2022/10/10 17:25:10 - mmengine - INFO - Epoch(train) [20][150/586] lr: 5.000000e-04 eta: 11:44:30 time: 0.402545 data_time: 0.027793 memory: 15677 loss_kpt: 0.020975 acc_pose: 0.689282 loss: 0.020975 2022/10/10 17:25:30 - mmengine - INFO - Epoch(train) [20][200/586] lr: 5.000000e-04 eta: 11:44:23 time: 0.401125 data_time: 0.026522 memory: 15677 loss_kpt: 0.020642 acc_pose: 0.647446 loss: 0.020642 2022/10/10 17:25:50 - mmengine - INFO - Epoch(train) [20][250/586] lr: 5.000000e-04 eta: 11:44:14 time: 0.398652 data_time: 0.025745 memory: 15677 loss_kpt: 0.020963 acc_pose: 0.604612 loss: 0.020963 2022/10/10 17:26:10 - mmengine - INFO - Epoch(train) [20][300/586] lr: 5.000000e-04 eta: 11:44:06 time: 0.401741 data_time: 0.028619 memory: 15677 loss_kpt: 0.020880 acc_pose: 0.638930 loss: 0.020880 2022/10/10 17:26:30 - mmengine - INFO - Epoch(train) [20][350/586] lr: 5.000000e-04 eta: 11:43:56 time: 0.396078 data_time: 0.025385 memory: 15677 loss_kpt: 0.020946 acc_pose: 0.588766 loss: 0.020946 2022/10/10 17:26:49 - mmengine - INFO - Epoch(train) [20][400/586] lr: 5.000000e-04 eta: 11:43:47 time: 0.398763 data_time: 0.024209 memory: 15677 loss_kpt: 0.021226 acc_pose: 0.634372 loss: 0.021226 2022/10/10 17:27:09 - mmengine - INFO - Epoch(train) [20][450/586] lr: 5.000000e-04 eta: 11:43:35 time: 0.394206 data_time: 0.025000 memory: 15677 loss_kpt: 0.021179 acc_pose: 0.597235 loss: 0.021179 2022/10/10 17:27:29 - mmengine - INFO - Epoch(train) [20][500/586] lr: 5.000000e-04 eta: 11:43:24 time: 0.394712 data_time: 0.023565 memory: 15677 loss_kpt: 0.020910 acc_pose: 0.649768 loss: 0.020910 2022/10/10 17:27:49 - mmengine - INFO - Epoch(train) [20][550/586] lr: 5.000000e-04 eta: 11:43:19 time: 0.408877 data_time: 0.026976 memory: 15677 loss_kpt: 0.020831 acc_pose: 0.575497 loss: 0.020831 2022/10/10 17:28:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:28:03 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/10/10 17:28:16 - mmengine - INFO - Epoch(val) [20][50/407] eta: 0:01:11 time: 0.201368 data_time: 0.020428 memory: 15677 2022/10/10 17:28:26 - mmengine - INFO - Epoch(val) [20][100/407] eta: 0:00:58 time: 0.190812 data_time: 0.010167 memory: 4213 2022/10/10 17:28:35 - mmengine - INFO - Epoch(val) [20][150/407] eta: 0:00:48 time: 0.189059 data_time: 0.008210 memory: 4213 2022/10/10 17:28:45 - mmengine - INFO - Epoch(val) [20][200/407] eta: 0:00:39 time: 0.190000 data_time: 0.009342 memory: 4213 2022/10/10 17:28:54 - mmengine - INFO - Epoch(val) [20][250/407] eta: 0:00:29 time: 0.188586 data_time: 0.008242 memory: 4213 2022/10/10 17:29:03 - mmengine - INFO - Epoch(val) [20][300/407] eta: 0:00:20 time: 0.188778 data_time: 0.008192 memory: 4213 2022/10/10 17:29:13 - mmengine - INFO - Epoch(val) [20][350/407] eta: 0:00:10 time: 0.188197 data_time: 0.008089 memory: 4213 2022/10/10 17:29:22 - mmengine - INFO - Epoch(val) [20][400/407] eta: 0:00:01 time: 0.188784 data_time: 0.008497 memory: 4213 2022/10/10 17:29:55 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 17:30:08 - mmengine - INFO - Epoch(val) [20][407/407] coco/AP: 0.524541 coco/AP .5: 0.802714 coco/AP .75: 0.573301 coco/AP (M): 0.498723 coco/AP (L): 0.578560 coco/AR: 0.587579 coco/AR .5: 0.851385 coco/AR .75: 0.639956 coco/AR (M): 0.550806 coco/AR (L): 0.639651 2022/10/10 17:30:08 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_10.pth is removed 2022/10/10 17:30:10 - mmengine - INFO - The best checkpoint with 0.5245 coco/AP at 20 epoch is saved to best_coco/AP_epoch_20.pth. 2022/10/10 17:30:30 - mmengine - INFO - Epoch(train) [21][50/586] lr: 5.000000e-04 eta: 11:40:52 time: 0.408515 data_time: 0.035827 memory: 15677 loss_kpt: 0.021433 acc_pose: 0.644215 loss: 0.021433 2022/10/10 17:30:50 - mmengine - INFO - Epoch(train) [21][100/586] lr: 5.000000e-04 eta: 11:40:41 time: 0.395147 data_time: 0.025363 memory: 15677 loss_kpt: 0.020975 acc_pose: 0.630071 loss: 0.020975 2022/10/10 17:31:10 - mmengine - INFO - Epoch(train) [21][150/586] lr: 5.000000e-04 eta: 11:40:32 time: 0.398254 data_time: 0.025769 memory: 15677 loss_kpt: 0.020826 acc_pose: 0.657071 loss: 0.020826 2022/10/10 17:31:30 - mmengine - INFO - Epoch(train) [21][200/586] lr: 5.000000e-04 eta: 11:40:24 time: 0.400979 data_time: 0.024693 memory: 15677 loss_kpt: 0.020964 acc_pose: 0.685020 loss: 0.020964 2022/10/10 17:31:50 - mmengine - INFO - Epoch(train) [21][250/586] lr: 5.000000e-04 eta: 11:40:15 time: 0.400065 data_time: 0.024451 memory: 15677 loss_kpt: 0.020852 acc_pose: 0.657671 loss: 0.020852 2022/10/10 17:32:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:32:10 - mmengine - INFO - Epoch(train) [21][300/586] lr: 5.000000e-04 eta: 11:40:03 time: 0.393687 data_time: 0.025325 memory: 15677 loss_kpt: 0.020879 acc_pose: 0.465332 loss: 0.020879 2022/10/10 17:32:30 - mmengine - INFO - Epoch(train) [21][350/586] lr: 5.000000e-04 eta: 11:39:56 time: 0.403646 data_time: 0.026978 memory: 15677 loss_kpt: 0.020826 acc_pose: 0.608031 loss: 0.020826 2022/10/10 17:32:50 - mmengine - INFO - Epoch(train) [21][400/586] lr: 5.000000e-04 eta: 11:39:46 time: 0.398040 data_time: 0.024906 memory: 15677 loss_kpt: 0.020764 acc_pose: 0.586571 loss: 0.020764 2022/10/10 17:33:10 - mmengine - INFO - Epoch(train) [21][450/586] lr: 5.000000e-04 eta: 11:39:36 time: 0.398598 data_time: 0.027758 memory: 15677 loss_kpt: 0.020602 acc_pose: 0.542909 loss: 0.020602 2022/10/10 17:33:30 - mmengine - INFO - Epoch(train) [21][500/586] lr: 5.000000e-04 eta: 11:39:29 time: 0.404565 data_time: 0.031808 memory: 15677 loss_kpt: 0.020583 acc_pose: 0.587842 loss: 0.020583 2022/10/10 17:33:50 - mmengine - INFO - Epoch(train) [21][550/586] lr: 5.000000e-04 eta: 11:39:20 time: 0.399512 data_time: 0.030952 memory: 15677 loss_kpt: 0.020361 acc_pose: 0.652480 loss: 0.020361 2022/10/10 17:34:04 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:34:24 - mmengine - INFO - Epoch(train) [22][50/586] lr: 5.000000e-04 eta: 11:36:59 time: 0.409468 data_time: 0.034229 memory: 15677 loss_kpt: 0.021245 acc_pose: 0.617881 loss: 0.021245 2022/10/10 17:34:44 - mmengine - INFO - Epoch(train) [22][100/586] lr: 5.000000e-04 eta: 11:36:49 time: 0.398676 data_time: 0.025215 memory: 15677 loss_kpt: 0.021267 acc_pose: 0.608480 loss: 0.021267 2022/10/10 17:35:04 - mmengine - INFO - Epoch(train) [22][150/586] lr: 5.000000e-04 eta: 11:36:43 time: 0.405680 data_time: 0.031758 memory: 15677 loss_kpt: 0.020143 acc_pose: 0.654857 loss: 0.020143 2022/10/10 17:35:24 - mmengine - INFO - Epoch(train) [22][200/586] lr: 5.000000e-04 eta: 11:36:31 time: 0.393684 data_time: 0.024690 memory: 15677 loss_kpt: 0.020837 acc_pose: 0.539744 loss: 0.020837 2022/10/10 17:35:44 - mmengine - INFO - Epoch(train) [22][250/586] lr: 5.000000e-04 eta: 11:36:21 time: 0.399562 data_time: 0.023559 memory: 15677 loss_kpt: 0.020149 acc_pose: 0.675621 loss: 0.020149 2022/10/10 17:36:04 - mmengine - INFO - Epoch(train) [22][300/586] lr: 5.000000e-04 eta: 11:36:09 time: 0.393059 data_time: 0.022691 memory: 15677 loss_kpt: 0.020484 acc_pose: 0.632304 loss: 0.020484 2022/10/10 17:36:24 - mmengine - INFO - Epoch(train) [22][350/586] lr: 5.000000e-04 eta: 11:35:59 time: 0.399923 data_time: 0.023497 memory: 15677 loss_kpt: 0.020390 acc_pose: 0.577426 loss: 0.020390 2022/10/10 17:36:44 - mmengine - INFO - Epoch(train) [22][400/586] lr: 5.000000e-04 eta: 11:35:48 time: 0.396407 data_time: 0.027267 memory: 15677 loss_kpt: 0.020549 acc_pose: 0.639963 loss: 0.020549 2022/10/10 17:37:03 - mmengine - INFO - Epoch(train) [22][450/586] lr: 5.000000e-04 eta: 11:35:36 time: 0.394390 data_time: 0.023185 memory: 15677 loss_kpt: 0.021089 acc_pose: 0.612667 loss: 0.021089 2022/10/10 17:37:23 - mmengine - INFO - Epoch(train) [22][500/586] lr: 5.000000e-04 eta: 11:35:26 time: 0.398654 data_time: 0.025982 memory: 15677 loss_kpt: 0.020289 acc_pose: 0.630596 loss: 0.020289 2022/10/10 17:37:43 - mmengine - INFO - Epoch(train) [22][550/586] lr: 5.000000e-04 eta: 11:35:18 time: 0.403446 data_time: 0.024802 memory: 15677 loss_kpt: 0.020863 acc_pose: 0.647527 loss: 0.020863 2022/10/10 17:37:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:38:18 - mmengine - INFO - Epoch(train) [23][50/586] lr: 5.000000e-04 eta: 11:33:02 time: 0.407872 data_time: 0.035764 memory: 15677 loss_kpt: 0.020386 acc_pose: 0.696503 loss: 0.020386 2022/10/10 17:38:37 - mmengine - INFO - Epoch(train) [23][100/586] lr: 5.000000e-04 eta: 11:32:51 time: 0.397100 data_time: 0.022903 memory: 15677 loss_kpt: 0.020896 acc_pose: 0.660088 loss: 0.020896 2022/10/10 17:38:41 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:38:57 - mmengine - INFO - Epoch(train) [23][150/586] lr: 5.000000e-04 eta: 11:32:40 time: 0.396574 data_time: 0.028664 memory: 15677 loss_kpt: 0.020292 acc_pose: 0.570250 loss: 0.020292 2022/10/10 17:39:17 - mmengine - INFO - Epoch(train) [23][200/586] lr: 5.000000e-04 eta: 11:32:31 time: 0.399902 data_time: 0.025094 memory: 15677 loss_kpt: 0.020187 acc_pose: 0.697721 loss: 0.020187 2022/10/10 17:39:38 - mmengine - INFO - Epoch(train) [23][250/586] lr: 5.000000e-04 eta: 11:32:24 time: 0.405704 data_time: 0.027024 memory: 15677 loss_kpt: 0.020442 acc_pose: 0.567950 loss: 0.020442 2022/10/10 17:39:57 - mmengine - INFO - Epoch(train) [23][300/586] lr: 5.000000e-04 eta: 11:32:12 time: 0.396033 data_time: 0.025115 memory: 15677 loss_kpt: 0.020334 acc_pose: 0.598844 loss: 0.020334 2022/10/10 17:40:17 - mmengine - INFO - Epoch(train) [23][350/586] lr: 5.000000e-04 eta: 11:32:03 time: 0.400932 data_time: 0.025872 memory: 15677 loss_kpt: 0.020411 acc_pose: 0.688697 loss: 0.020411 2022/10/10 17:40:37 - mmengine - INFO - Epoch(train) [23][400/586] lr: 5.000000e-04 eta: 11:31:53 time: 0.399553 data_time: 0.026418 memory: 15677 loss_kpt: 0.020696 acc_pose: 0.540187 loss: 0.020696 2022/10/10 17:40:57 - mmengine - INFO - Epoch(train) [23][450/586] lr: 5.000000e-04 eta: 11:31:42 time: 0.398621 data_time: 0.027277 memory: 15677 loss_kpt: 0.020286 acc_pose: 0.671407 loss: 0.020286 2022/10/10 17:41:17 - mmengine - INFO - Epoch(train) [23][500/586] lr: 5.000000e-04 eta: 11:31:30 time: 0.393518 data_time: 0.023385 memory: 15677 loss_kpt: 0.020500 acc_pose: 0.626477 loss: 0.020500 2022/10/10 17:41:37 - mmengine - INFO - Epoch(train) [23][550/586] lr: 5.000000e-04 eta: 11:31:18 time: 0.396473 data_time: 0.024443 memory: 15677 loss_kpt: 0.020368 acc_pose: 0.591068 loss: 0.020368 2022/10/10 17:41:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:42:12 - mmengine - INFO - Epoch(train) [24][50/586] lr: 5.000000e-04 eta: 11:29:12 time: 0.419758 data_time: 0.030979 memory: 15677 loss_kpt: 0.020361 acc_pose: 0.672659 loss: 0.020361 2022/10/10 17:42:32 - mmengine - INFO - Epoch(train) [24][100/586] lr: 5.000000e-04 eta: 11:29:01 time: 0.397475 data_time: 0.025009 memory: 15677 loss_kpt: 0.020555 acc_pose: 0.574687 loss: 0.020555 2022/10/10 17:42:52 - mmengine - INFO - Epoch(train) [24][150/586] lr: 5.000000e-04 eta: 11:28:51 time: 0.398291 data_time: 0.023287 memory: 15677 loss_kpt: 0.020219 acc_pose: 0.658398 loss: 0.020219 2022/10/10 17:43:12 - mmengine - INFO - Epoch(train) [24][200/586] lr: 5.000000e-04 eta: 11:28:40 time: 0.398823 data_time: 0.024391 memory: 15677 loss_kpt: 0.020001 acc_pose: 0.556566 loss: 0.020001 2022/10/10 17:43:31 - mmengine - INFO - Epoch(train) [24][250/586] lr: 5.000000e-04 eta: 11:28:29 time: 0.396666 data_time: 0.023769 memory: 15677 loss_kpt: 0.020326 acc_pose: 0.602634 loss: 0.020326 2022/10/10 17:43:51 - mmengine - INFO - Epoch(train) [24][300/586] lr: 5.000000e-04 eta: 11:28:18 time: 0.399378 data_time: 0.024491 memory: 15677 loss_kpt: 0.020225 acc_pose: 0.619435 loss: 0.020225 2022/10/10 17:44:11 - mmengine - INFO - Epoch(train) [24][350/586] lr: 5.000000e-04 eta: 11:28:07 time: 0.397313 data_time: 0.027864 memory: 15677 loss_kpt: 0.020548 acc_pose: 0.667901 loss: 0.020548 2022/10/10 17:44:31 - mmengine - INFO - Epoch(train) [24][400/586] lr: 5.000000e-04 eta: 11:27:57 time: 0.399281 data_time: 0.024356 memory: 15677 loss_kpt: 0.020425 acc_pose: 0.609775 loss: 0.020425 2022/10/10 17:44:51 - mmengine - INFO - Epoch(train) [24][450/586] lr: 5.000000e-04 eta: 11:27:46 time: 0.398503 data_time: 0.026442 memory: 15677 loss_kpt: 0.018916 acc_pose: 0.604962 loss: 0.018916 2022/10/10 17:45:11 - mmengine - INFO - Epoch(train) [24][500/586] lr: 5.000000e-04 eta: 11:27:35 time: 0.399329 data_time: 0.024637 memory: 15677 loss_kpt: 0.020208 acc_pose: 0.614332 loss: 0.020208 2022/10/10 17:45:20 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:45:31 - mmengine - INFO - Epoch(train) [24][550/586] lr: 5.000000e-04 eta: 11:27:26 time: 0.402757 data_time: 0.030361 memory: 15677 loss_kpt: 0.020028 acc_pose: 0.669388 loss: 0.020028 2022/10/10 17:45:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:46:06 - mmengine - INFO - Epoch(train) [25][50/586] lr: 5.000000e-04 eta: 11:25:20 time: 0.409543 data_time: 0.033081 memory: 15677 loss_kpt: 0.020393 acc_pose: 0.637201 loss: 0.020393 2022/10/10 17:46:26 - mmengine - INFO - Epoch(train) [25][100/586] lr: 5.000000e-04 eta: 11:25:09 time: 0.398348 data_time: 0.025393 memory: 15677 loss_kpt: 0.019527 acc_pose: 0.687509 loss: 0.019527 2022/10/10 17:46:46 - mmengine - INFO - Epoch(train) [25][150/586] lr: 5.000000e-04 eta: 11:24:59 time: 0.399013 data_time: 0.024251 memory: 15677 loss_kpt: 0.020217 acc_pose: 0.634601 loss: 0.020217 2022/10/10 17:47:06 - mmengine - INFO - Epoch(train) [25][200/586] lr: 5.000000e-04 eta: 11:24:49 time: 0.402777 data_time: 0.026402 memory: 15677 loss_kpt: 0.020799 acc_pose: 0.681022 loss: 0.020799 2022/10/10 17:47:26 - mmengine - INFO - Epoch(train) [25][250/586] lr: 5.000000e-04 eta: 11:24:39 time: 0.399019 data_time: 0.025443 memory: 15677 loss_kpt: 0.020102 acc_pose: 0.513191 loss: 0.020102 2022/10/10 17:47:46 - mmengine - INFO - Epoch(train) [25][300/586] lr: 5.000000e-04 eta: 11:24:27 time: 0.397637 data_time: 0.024977 memory: 15677 loss_kpt: 0.020544 acc_pose: 0.525976 loss: 0.020544 2022/10/10 17:48:06 - mmengine - INFO - Epoch(train) [25][350/586] lr: 5.000000e-04 eta: 11:24:18 time: 0.403174 data_time: 0.027886 memory: 15677 loss_kpt: 0.020367 acc_pose: 0.657347 loss: 0.020367 2022/10/10 17:48:26 - mmengine - INFO - Epoch(train) [25][400/586] lr: 5.000000e-04 eta: 11:24:07 time: 0.398149 data_time: 0.028456 memory: 15677 loss_kpt: 0.020089 acc_pose: 0.607447 loss: 0.020089 2022/10/10 17:48:45 - mmengine - INFO - Epoch(train) [25][450/586] lr: 5.000000e-04 eta: 11:23:55 time: 0.396981 data_time: 0.025754 memory: 15677 loss_kpt: 0.020492 acc_pose: 0.562090 loss: 0.020492 2022/10/10 17:49:05 - mmengine - INFO - Epoch(train) [25][500/586] lr: 5.000000e-04 eta: 11:23:43 time: 0.397651 data_time: 0.025801 memory: 15677 loss_kpt: 0.020212 acc_pose: 0.510782 loss: 0.020212 2022/10/10 17:49:25 - mmengine - INFO - Epoch(train) [25][550/586] lr: 5.000000e-04 eta: 11:23:32 time: 0.398506 data_time: 0.029004 memory: 15677 loss_kpt: 0.020206 acc_pose: 0.690667 loss: 0.020206 2022/10/10 17:49:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:49:59 - mmengine - INFO - Epoch(train) [26][50/586] lr: 5.000000e-04 eta: 11:21:27 time: 0.400669 data_time: 0.033382 memory: 15677 loss_kpt: 0.020563 acc_pose: 0.607964 loss: 0.020563 2022/10/10 17:50:19 - mmengine - INFO - Epoch(train) [26][100/586] lr: 5.000000e-04 eta: 11:21:17 time: 0.400670 data_time: 0.028764 memory: 15677 loss_kpt: 0.020226 acc_pose: 0.578769 loss: 0.020226 2022/10/10 17:50:39 - mmengine - INFO - Epoch(train) [26][150/586] lr: 5.000000e-04 eta: 11:21:06 time: 0.398098 data_time: 0.026385 memory: 15677 loss_kpt: 0.019984 acc_pose: 0.656493 loss: 0.019984 2022/10/10 17:50:59 - mmengine - INFO - Epoch(train) [26][200/586] lr: 5.000000e-04 eta: 11:20:57 time: 0.404117 data_time: 0.024853 memory: 15677 loss_kpt: 0.020195 acc_pose: 0.618305 loss: 0.020195 2022/10/10 17:51:19 - mmengine - INFO - Epoch(train) [26][250/586] lr: 5.000000e-04 eta: 11:20:44 time: 0.396460 data_time: 0.027453 memory: 15677 loss_kpt: 0.020214 acc_pose: 0.710512 loss: 0.020214 2022/10/10 17:51:39 - mmengine - INFO - Epoch(train) [26][300/586] lr: 5.000000e-04 eta: 11:20:34 time: 0.401489 data_time: 0.030180 memory: 15677 loss_kpt: 0.019507 acc_pose: 0.602557 loss: 0.019507 2022/10/10 17:51:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:51:59 - mmengine - INFO - Epoch(train) [26][350/586] lr: 5.000000e-04 eta: 11:20:22 time: 0.396056 data_time: 0.025993 memory: 15677 loss_kpt: 0.019659 acc_pose: 0.643138 loss: 0.019659 2022/10/10 17:52:19 - mmengine - INFO - Epoch(train) [26][400/586] lr: 5.000000e-04 eta: 11:20:10 time: 0.397690 data_time: 0.024635 memory: 15677 loss_kpt: 0.020082 acc_pose: 0.620015 loss: 0.020082 2022/10/10 17:52:39 - mmengine - INFO - Epoch(train) [26][450/586] lr: 5.000000e-04 eta: 11:20:00 time: 0.402279 data_time: 0.025117 memory: 15677 loss_kpt: 0.020299 acc_pose: 0.610760 loss: 0.020299 2022/10/10 17:52:59 - mmengine - INFO - Epoch(train) [26][500/586] lr: 5.000000e-04 eta: 11:19:48 time: 0.396157 data_time: 0.024728 memory: 15677 loss_kpt: 0.019768 acc_pose: 0.644142 loss: 0.019768 2022/10/10 17:53:19 - mmengine - INFO - Epoch(train) [26][550/586] lr: 5.000000e-04 eta: 11:19:36 time: 0.397054 data_time: 0.023752 memory: 15677 loss_kpt: 0.020049 acc_pose: 0.649948 loss: 0.020049 2022/10/10 17:53:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:53:54 - mmengine - INFO - Epoch(train) [27][50/586] lr: 5.000000e-04 eta: 11:17:39 time: 0.412926 data_time: 0.032582 memory: 15677 loss_kpt: 0.019807 acc_pose: 0.648572 loss: 0.019807 2022/10/10 17:54:13 - mmengine - INFO - Epoch(train) [27][100/586] lr: 5.000000e-04 eta: 11:17:28 time: 0.397424 data_time: 0.028696 memory: 15677 loss_kpt: 0.019696 acc_pose: 0.603878 loss: 0.019696 2022/10/10 17:54:33 - mmengine - INFO - Epoch(train) [27][150/586] lr: 5.000000e-04 eta: 11:17:16 time: 0.398150 data_time: 0.024634 memory: 15677 loss_kpt: 0.020069 acc_pose: 0.746935 loss: 0.020069 2022/10/10 17:54:53 - mmengine - INFO - Epoch(train) [27][200/586] lr: 5.000000e-04 eta: 11:17:05 time: 0.399045 data_time: 0.024802 memory: 15677 loss_kpt: 0.020402 acc_pose: 0.633015 loss: 0.020402 2022/10/10 17:55:14 - mmengine - INFO - Epoch(train) [27][250/586] lr: 5.000000e-04 eta: 11:16:56 time: 0.405702 data_time: 0.023821 memory: 15677 loss_kpt: 0.020288 acc_pose: 0.663029 loss: 0.020288 2022/10/10 17:55:33 - mmengine - INFO - Epoch(train) [27][300/586] lr: 5.000000e-04 eta: 11:16:42 time: 0.391793 data_time: 0.022519 memory: 15677 loss_kpt: 0.020400 acc_pose: 0.703549 loss: 0.020400 2022/10/10 17:55:53 - mmengine - INFO - Epoch(train) [27][350/586] lr: 5.000000e-04 eta: 11:16:29 time: 0.395233 data_time: 0.026869 memory: 15677 loss_kpt: 0.019372 acc_pose: 0.659219 loss: 0.019372 2022/10/10 17:56:13 - mmengine - INFO - Epoch(train) [27][400/586] lr: 5.000000e-04 eta: 11:16:19 time: 0.403083 data_time: 0.023815 memory: 15677 loss_kpt: 0.020023 acc_pose: 0.584334 loss: 0.020023 2022/10/10 17:56:33 - mmengine - INFO - Epoch(train) [27][450/586] lr: 5.000000e-04 eta: 11:16:09 time: 0.404765 data_time: 0.023634 memory: 15677 loss_kpt: 0.019386 acc_pose: 0.670676 loss: 0.019386 2022/10/10 17:56:53 - mmengine - INFO - Epoch(train) [27][500/586] lr: 5.000000e-04 eta: 11:15:57 time: 0.398439 data_time: 0.025158 memory: 15677 loss_kpt: 0.020278 acc_pose: 0.633797 loss: 0.020278 2022/10/10 17:57:13 - mmengine - INFO - Epoch(train) [27][550/586] lr: 5.000000e-04 eta: 11:15:42 time: 0.389946 data_time: 0.022907 memory: 15677 loss_kpt: 0.020462 acc_pose: 0.622618 loss: 0.020462 2022/10/10 17:57:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:57:48 - mmengine - INFO - Epoch(train) [28][50/586] lr: 5.000000e-04 eta: 11:13:49 time: 0.409148 data_time: 0.031776 memory: 15677 loss_kpt: 0.019490 acc_pose: 0.653410 loss: 0.019490 2022/10/10 17:58:08 - mmengine - INFO - Epoch(train) [28][100/586] lr: 5.000000e-04 eta: 11:13:37 time: 0.399135 data_time: 0.025867 memory: 15677 loss_kpt: 0.019901 acc_pose: 0.664485 loss: 0.019901 2022/10/10 17:58:27 - mmengine - INFO - Epoch(train) [28][150/586] lr: 5.000000e-04 eta: 11:13:24 time: 0.393275 data_time: 0.026055 memory: 15677 loss_kpt: 0.020014 acc_pose: 0.693788 loss: 0.020014 2022/10/10 17:58:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 17:58:47 - mmengine - INFO - Epoch(train) [28][200/586] lr: 5.000000e-04 eta: 11:13:13 time: 0.403395 data_time: 0.024142 memory: 15677 loss_kpt: 0.020210 acc_pose: 0.618744 loss: 0.020210 2022/10/10 17:59:07 - mmengine - INFO - Epoch(train) [28][250/586] lr: 5.000000e-04 eta: 11:13:01 time: 0.396039 data_time: 0.026481 memory: 15677 loss_kpt: 0.020045 acc_pose: 0.507518 loss: 0.020045 2022/10/10 17:59:27 - mmengine - INFO - Epoch(train) [28][300/586] lr: 5.000000e-04 eta: 11:12:49 time: 0.398994 data_time: 0.025796 memory: 15677 loss_kpt: 0.019630 acc_pose: 0.664968 loss: 0.019630 2022/10/10 17:59:47 - mmengine - INFO - Epoch(train) [28][350/586] lr: 5.000000e-04 eta: 11:12:37 time: 0.398283 data_time: 0.024580 memory: 15677 loss_kpt: 0.020133 acc_pose: 0.636289 loss: 0.020133 2022/10/10 18:00:07 - mmengine - INFO - Epoch(train) [28][400/586] lr: 5.000000e-04 eta: 11:12:27 time: 0.404435 data_time: 0.028928 memory: 15677 loss_kpt: 0.020282 acc_pose: 0.708233 loss: 0.020282 2022/10/10 18:00:27 - mmengine - INFO - Epoch(train) [28][450/586] lr: 5.000000e-04 eta: 11:12:15 time: 0.399534 data_time: 0.025926 memory: 15677 loss_kpt: 0.020242 acc_pose: 0.597110 loss: 0.020242 2022/10/10 18:00:47 - mmengine - INFO - Epoch(train) [28][500/586] lr: 5.000000e-04 eta: 11:12:03 time: 0.397485 data_time: 0.026240 memory: 15677 loss_kpt: 0.019680 acc_pose: 0.574391 loss: 0.019680 2022/10/10 18:01:07 - mmengine - INFO - Epoch(train) [28][550/586] lr: 5.000000e-04 eta: 11:11:51 time: 0.398758 data_time: 0.025336 memory: 15677 loss_kpt: 0.019513 acc_pose: 0.634871 loss: 0.019513 2022/10/10 18:01:21 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:01:41 - mmengine - INFO - Epoch(train) [29][50/586] lr: 5.000000e-04 eta: 11:10:00 time: 0.409342 data_time: 0.033975 memory: 15677 loss_kpt: 0.019663 acc_pose: 0.687707 loss: 0.019663 2022/10/10 18:02:01 - mmengine - INFO - Epoch(train) [29][100/586] lr: 5.000000e-04 eta: 11:09:48 time: 0.396900 data_time: 0.026236 memory: 15677 loss_kpt: 0.019870 acc_pose: 0.647090 loss: 0.019870 2022/10/10 18:02:21 - mmengine - INFO - Epoch(train) [29][150/586] lr: 5.000000e-04 eta: 11:09:36 time: 0.399117 data_time: 0.024194 memory: 15677 loss_kpt: 0.019951 acc_pose: 0.621619 loss: 0.019951 2022/10/10 18:02:41 - mmengine - INFO - Epoch(train) [29][200/586] lr: 5.000000e-04 eta: 11:09:22 time: 0.391795 data_time: 0.023974 memory: 15677 loss_kpt: 0.019975 acc_pose: 0.579700 loss: 0.019975 2022/10/10 18:03:01 - mmengine - INFO - Epoch(train) [29][250/586] lr: 5.000000e-04 eta: 11:09:11 time: 0.400955 data_time: 0.028948 memory: 15677 loss_kpt: 0.019189 acc_pose: 0.541117 loss: 0.019189 2022/10/10 18:03:21 - mmengine - INFO - Epoch(train) [29][300/586] lr: 5.000000e-04 eta: 11:08:58 time: 0.396011 data_time: 0.027300 memory: 15677 loss_kpt: 0.019785 acc_pose: 0.677711 loss: 0.019785 2022/10/10 18:03:41 - mmengine - INFO - Epoch(train) [29][350/586] lr: 5.000000e-04 eta: 11:08:48 time: 0.405351 data_time: 0.025294 memory: 15677 loss_kpt: 0.019241 acc_pose: 0.609147 loss: 0.019241 2022/10/10 18:04:01 - mmengine - INFO - Epoch(train) [29][400/586] lr: 5.000000e-04 eta: 11:08:33 time: 0.391650 data_time: 0.024913 memory: 15677 loss_kpt: 0.020125 acc_pose: 0.658928 loss: 0.020125 2022/10/10 18:04:20 - mmengine - INFO - Epoch(train) [29][450/586] lr: 5.000000e-04 eta: 11:08:20 time: 0.395400 data_time: 0.024687 memory: 15677 loss_kpt: 0.019884 acc_pose: 0.614215 loss: 0.019884 2022/10/10 18:04:40 - mmengine - INFO - Epoch(train) [29][500/586] lr: 5.000000e-04 eta: 11:08:08 time: 0.399483 data_time: 0.029083 memory: 15677 loss_kpt: 0.019975 acc_pose: 0.588455 loss: 0.019975 2022/10/10 18:05:00 - mmengine - INFO - Epoch(train) [29][550/586] lr: 5.000000e-04 eta: 11:07:54 time: 0.394207 data_time: 0.026876 memory: 15677 loss_kpt: 0.019848 acc_pose: 0.542168 loss: 0.019848 2022/10/10 18:05:14 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:05:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:05:35 - mmengine - INFO - Epoch(train) [30][50/586] lr: 5.000000e-04 eta: 11:06:06 time: 0.405528 data_time: 0.033250 memory: 15677 loss_kpt: 0.019778 acc_pose: 0.654596 loss: 0.019778 2022/10/10 18:05:55 - mmengine - INFO - Epoch(train) [30][100/586] lr: 5.000000e-04 eta: 11:05:55 time: 0.402761 data_time: 0.024126 memory: 15677 loss_kpt: 0.019682 acc_pose: 0.606041 loss: 0.019682 2022/10/10 18:06:15 - mmengine - INFO - Epoch(train) [30][150/586] lr: 5.000000e-04 eta: 11:05:43 time: 0.398419 data_time: 0.024886 memory: 15677 loss_kpt: 0.019476 acc_pose: 0.576572 loss: 0.019476 2022/10/10 18:06:35 - mmengine - INFO - Epoch(train) [30][200/586] lr: 5.000000e-04 eta: 11:05:31 time: 0.398655 data_time: 0.025163 memory: 15677 loss_kpt: 0.019840 acc_pose: 0.678440 loss: 0.019840 2022/10/10 18:06:54 - mmengine - INFO - Epoch(train) [30][250/586] lr: 5.000000e-04 eta: 11:05:18 time: 0.396326 data_time: 0.023496 memory: 15677 loss_kpt: 0.019486 acc_pose: 0.651130 loss: 0.019486 2022/10/10 18:07:14 - mmengine - INFO - Epoch(train) [30][300/586] lr: 5.000000e-04 eta: 11:05:06 time: 0.399804 data_time: 0.025170 memory: 15677 loss_kpt: 0.019576 acc_pose: 0.600485 loss: 0.019576 2022/10/10 18:07:34 - mmengine - INFO - Epoch(train) [30][350/586] lr: 5.000000e-04 eta: 11:04:54 time: 0.402493 data_time: 0.027423 memory: 15677 loss_kpt: 0.020182 acc_pose: 0.663769 loss: 0.020182 2022/10/10 18:07:54 - mmengine - INFO - Epoch(train) [30][400/586] lr: 5.000000e-04 eta: 11:04:41 time: 0.394965 data_time: 0.025524 memory: 15677 loss_kpt: 0.019750 acc_pose: 0.547892 loss: 0.019750 2022/10/10 18:08:14 - mmengine - INFO - Epoch(train) [30][450/586] lr: 5.000000e-04 eta: 11:04:29 time: 0.399187 data_time: 0.024392 memory: 15677 loss_kpt: 0.019579 acc_pose: 0.600997 loss: 0.019579 2022/10/10 18:08:34 - mmengine - INFO - Epoch(train) [30][500/586] lr: 5.000000e-04 eta: 11:04:16 time: 0.397124 data_time: 0.026997 memory: 15677 loss_kpt: 0.020099 acc_pose: 0.655077 loss: 0.020099 2022/10/10 18:08:54 - mmengine - INFO - Epoch(train) [30][550/586] lr: 5.000000e-04 eta: 11:04:03 time: 0.398183 data_time: 0.031143 memory: 15677 loss_kpt: 0.019456 acc_pose: 0.553711 loss: 0.019456 2022/10/10 18:09:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:09:08 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/10/10 18:09:21 - mmengine - INFO - Epoch(val) [30][50/407] eta: 0:01:10 time: 0.196161 data_time: 0.014565 memory: 15677 2022/10/10 18:09:30 - mmengine - INFO - Epoch(val) [30][100/407] eta: 0:00:58 time: 0.188958 data_time: 0.008543 memory: 4213 2022/10/10 18:09:40 - mmengine - INFO - Epoch(val) [30][150/407] eta: 0:00:49 time: 0.194304 data_time: 0.008710 memory: 4213 2022/10/10 18:09:49 - mmengine - INFO - Epoch(val) [30][200/407] eta: 0:00:39 time: 0.190309 data_time: 0.008861 memory: 4213 2022/10/10 18:09:59 - mmengine - INFO - Epoch(val) [30][250/407] eta: 0:00:29 time: 0.188757 data_time: 0.008710 memory: 4213 2022/10/10 18:10:08 - mmengine - INFO - Epoch(val) [30][300/407] eta: 0:00:20 time: 0.190033 data_time: 0.009115 memory: 4213 2022/10/10 18:10:18 - mmengine - INFO - Epoch(val) [30][350/407] eta: 0:00:10 time: 0.188581 data_time: 0.008000 memory: 4213 2022/10/10 18:10:27 - mmengine - INFO - Epoch(val) [30][400/407] eta: 0:00:01 time: 0.188683 data_time: 0.008594 memory: 4213 2022/10/10 18:11:00 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 18:11:12 - mmengine - INFO - Epoch(val) [30][407/407] coco/AP: 0.554489 coco/AP .5: 0.817008 coco/AP .75: 0.611624 coco/AP (M): 0.526799 coco/AP (L): 0.609298 coco/AR: 0.614389 coco/AR .5: 0.862563 coco/AR .75: 0.671914 coco/AR (M): 0.574816 coco/AR (L): 0.670383 2022/10/10 18:11:12 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_20.pth is removed 2022/10/10 18:11:14 - mmengine - INFO - The best checkpoint with 0.5545 coco/AP at 30 epoch is saved to best_coco/AP_epoch_30.pth. 2022/10/10 18:11:34 - mmengine - INFO - Epoch(train) [31][50/586] lr: 5.000000e-04 eta: 11:02:16 time: 0.401483 data_time: 0.035671 memory: 15677 loss_kpt: 0.019344 acc_pose: 0.695576 loss: 0.019344 2022/10/10 18:11:55 - mmengine - INFO - Epoch(train) [31][100/586] lr: 5.000000e-04 eta: 11:02:05 time: 0.403524 data_time: 0.026047 memory: 15677 loss_kpt: 0.019519 acc_pose: 0.579001 loss: 0.019519 2022/10/10 18:12:15 - mmengine - INFO - Epoch(train) [31][150/586] lr: 5.000000e-04 eta: 11:01:54 time: 0.401937 data_time: 0.031400 memory: 15677 loss_kpt: 0.019305 acc_pose: 0.691269 loss: 0.019305 2022/10/10 18:12:34 - mmengine - INFO - Epoch(train) [31][200/586] lr: 5.000000e-04 eta: 11:01:40 time: 0.394189 data_time: 0.026023 memory: 15677 loss_kpt: 0.019598 acc_pose: 0.607144 loss: 0.019598 2022/10/10 18:12:54 - mmengine - INFO - Epoch(train) [31][250/586] lr: 5.000000e-04 eta: 11:01:27 time: 0.397533 data_time: 0.028370 memory: 15677 loss_kpt: 0.019908 acc_pose: 0.635852 loss: 0.019908 2022/10/10 18:13:14 - mmengine - INFO - Epoch(train) [31][300/586] lr: 5.000000e-04 eta: 11:01:15 time: 0.397530 data_time: 0.025024 memory: 15677 loss_kpt: 0.019774 acc_pose: 0.588799 loss: 0.019774 2022/10/10 18:13:34 - mmengine - INFO - Epoch(train) [31][350/586] lr: 5.000000e-04 eta: 11:01:03 time: 0.402500 data_time: 0.031100 memory: 15677 loss_kpt: 0.019851 acc_pose: 0.668354 loss: 0.019851 2022/10/10 18:13:54 - mmengine - INFO - Epoch(train) [31][400/586] lr: 5.000000e-04 eta: 11:00:50 time: 0.396680 data_time: 0.024777 memory: 15677 loss_kpt: 0.019856 acc_pose: 0.706952 loss: 0.019856 2022/10/10 18:14:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:14:14 - mmengine - INFO - Epoch(train) [31][450/586] lr: 5.000000e-04 eta: 11:00:37 time: 0.398712 data_time: 0.025942 memory: 15677 loss_kpt: 0.019341 acc_pose: 0.498385 loss: 0.019341 2022/10/10 18:14:34 - mmengine - INFO - Epoch(train) [31][500/586] lr: 5.000000e-04 eta: 11:00:25 time: 0.400085 data_time: 0.030208 memory: 15677 loss_kpt: 0.019978 acc_pose: 0.647420 loss: 0.019978 2022/10/10 18:14:54 - mmengine - INFO - Epoch(train) [31][550/586] lr: 5.000000e-04 eta: 11:00:14 time: 0.404462 data_time: 0.024354 memory: 15677 loss_kpt: 0.020287 acc_pose: 0.650564 loss: 0.020287 2022/10/10 18:15:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:15:28 - mmengine - INFO - Epoch(train) [32][50/586] lr: 5.000000e-04 eta: 10:58:31 time: 0.405011 data_time: 0.034099 memory: 15677 loss_kpt: 0.019155 acc_pose: 0.497532 loss: 0.019155 2022/10/10 18:15:49 - mmengine - INFO - Epoch(train) [32][100/586] lr: 5.000000e-04 eta: 10:58:19 time: 0.401087 data_time: 0.029885 memory: 15677 loss_kpt: 0.019378 acc_pose: 0.595941 loss: 0.019378 2022/10/10 18:16:08 - mmengine - INFO - Epoch(train) [32][150/586] lr: 5.000000e-04 eta: 10:58:07 time: 0.398692 data_time: 0.027236 memory: 15677 loss_kpt: 0.019496 acc_pose: 0.676703 loss: 0.019496 2022/10/10 18:16:28 - mmengine - INFO - Epoch(train) [32][200/586] lr: 5.000000e-04 eta: 10:57:53 time: 0.396800 data_time: 0.025098 memory: 15677 loss_kpt: 0.019252 acc_pose: 0.637564 loss: 0.019252 2022/10/10 18:16:48 - mmengine - INFO - Epoch(train) [32][250/586] lr: 5.000000e-04 eta: 10:57:39 time: 0.392248 data_time: 0.025091 memory: 15677 loss_kpt: 0.019404 acc_pose: 0.607196 loss: 0.019404 2022/10/10 18:17:08 - mmengine - INFO - Epoch(train) [32][300/586] lr: 5.000000e-04 eta: 10:57:28 time: 0.404577 data_time: 0.025922 memory: 15677 loss_kpt: 0.019711 acc_pose: 0.446931 loss: 0.019711 2022/10/10 18:17:28 - mmengine - INFO - Epoch(train) [32][350/586] lr: 5.000000e-04 eta: 10:57:14 time: 0.393672 data_time: 0.024944 memory: 15677 loss_kpt: 0.019320 acc_pose: 0.649652 loss: 0.019320 2022/10/10 18:17:48 - mmengine - INFO - Epoch(train) [32][400/586] lr: 5.000000e-04 eta: 10:57:04 time: 0.409645 data_time: 0.025561 memory: 15677 loss_kpt: 0.019846 acc_pose: 0.702892 loss: 0.019846 2022/10/10 18:18:08 - mmengine - INFO - Epoch(train) [32][450/586] lr: 5.000000e-04 eta: 10:56:50 time: 0.395603 data_time: 0.028239 memory: 15677 loss_kpt: 0.019098 acc_pose: 0.675422 loss: 0.019098 2022/10/10 18:18:28 - mmengine - INFO - Epoch(train) [32][500/586] lr: 5.000000e-04 eta: 10:56:39 time: 0.403318 data_time: 0.028448 memory: 15677 loss_kpt: 0.019367 acc_pose: 0.691379 loss: 0.019367 2022/10/10 18:18:48 - mmengine - INFO - Epoch(train) [32][550/586] lr: 5.000000e-04 eta: 10:56:24 time: 0.392610 data_time: 0.024636 memory: 15677 loss_kpt: 0.019198 acc_pose: 0.647004 loss: 0.019198 2022/10/10 18:19:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:19:23 - mmengine - INFO - Epoch(train) [33][50/586] lr: 5.000000e-04 eta: 10:54:43 time: 0.402736 data_time: 0.032461 memory: 15677 loss_kpt: 0.019948 acc_pose: 0.681268 loss: 0.019948 2022/10/10 18:19:42 - mmengine - INFO - Epoch(train) [33][100/586] lr: 5.000000e-04 eta: 10:54:28 time: 0.391383 data_time: 0.023587 memory: 15677 loss_kpt: 0.019195 acc_pose: 0.560639 loss: 0.019195 2022/10/10 18:20:02 - mmengine - INFO - Epoch(train) [33][150/586] lr: 5.000000e-04 eta: 10:54:16 time: 0.400337 data_time: 0.024268 memory: 15677 loss_kpt: 0.019988 acc_pose: 0.650322 loss: 0.019988 2022/10/10 18:20:22 - mmengine - INFO - Epoch(train) [33][200/586] lr: 5.000000e-04 eta: 10:54:03 time: 0.397942 data_time: 0.024268 memory: 15677 loss_kpt: 0.018914 acc_pose: 0.753152 loss: 0.018914 2022/10/10 18:20:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:20:43 - mmengine - INFO - Epoch(train) [33][250/586] lr: 5.000000e-04 eta: 10:53:52 time: 0.405087 data_time: 0.029824 memory: 15677 loss_kpt: 0.019276 acc_pose: 0.683024 loss: 0.019276 2022/10/10 18:21:02 - mmengine - INFO - Epoch(train) [33][300/586] lr: 5.000000e-04 eta: 10:53:37 time: 0.392005 data_time: 0.025444 memory: 15677 loss_kpt: 0.020104 acc_pose: 0.683618 loss: 0.020104 2022/10/10 18:21:22 - mmengine - INFO - Epoch(train) [33][350/586] lr: 5.000000e-04 eta: 10:53:24 time: 0.397355 data_time: 0.025369 memory: 15677 loss_kpt: 0.019453 acc_pose: 0.648804 loss: 0.019453 2022/10/10 18:21:42 - mmengine - INFO - Epoch(train) [33][400/586] lr: 5.000000e-04 eta: 10:53:10 time: 0.395276 data_time: 0.025878 memory: 15677 loss_kpt: 0.019363 acc_pose: 0.677134 loss: 0.019363 2022/10/10 18:22:02 - mmengine - INFO - Epoch(train) [33][450/586] lr: 5.000000e-04 eta: 10:52:56 time: 0.397343 data_time: 0.024766 memory: 15677 loss_kpt: 0.019263 acc_pose: 0.614956 loss: 0.019263 2022/10/10 18:22:22 - mmengine - INFO - Epoch(train) [33][500/586] lr: 5.000000e-04 eta: 10:52:45 time: 0.406136 data_time: 0.027024 memory: 15677 loss_kpt: 0.019563 acc_pose: 0.699261 loss: 0.019563 2022/10/10 18:22:42 - mmengine - INFO - Epoch(train) [33][550/586] lr: 5.000000e-04 eta: 10:52:31 time: 0.393371 data_time: 0.024602 memory: 15677 loss_kpt: 0.019493 acc_pose: 0.569067 loss: 0.019493 2022/10/10 18:22:56 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:23:16 - mmengine - INFO - Epoch(train) [34][50/586] lr: 5.000000e-04 eta: 10:50:53 time: 0.404896 data_time: 0.031023 memory: 15677 loss_kpt: 0.019470 acc_pose: 0.630746 loss: 0.019470 2022/10/10 18:23:36 - mmengine - INFO - Epoch(train) [34][100/586] lr: 5.000000e-04 eta: 10:50:41 time: 0.403925 data_time: 0.025249 memory: 15677 loss_kpt: 0.019473 acc_pose: 0.612135 loss: 0.019473 2022/10/10 18:23:56 - mmengine - INFO - Epoch(train) [34][150/586] lr: 5.000000e-04 eta: 10:50:28 time: 0.397126 data_time: 0.025088 memory: 15677 loss_kpt: 0.019955 acc_pose: 0.620260 loss: 0.019955 2022/10/10 18:24:16 - mmengine - INFO - Epoch(train) [34][200/586] lr: 5.000000e-04 eta: 10:50:13 time: 0.392445 data_time: 0.025264 memory: 15677 loss_kpt: 0.019738 acc_pose: 0.656328 loss: 0.019738 2022/10/10 18:24:36 - mmengine - INFO - Epoch(train) [34][250/586] lr: 5.000000e-04 eta: 10:50:02 time: 0.405265 data_time: 0.024271 memory: 15677 loss_kpt: 0.018995 acc_pose: 0.762829 loss: 0.018995 2022/10/10 18:24:56 - mmengine - INFO - Epoch(train) [34][300/586] lr: 5.000000e-04 eta: 10:49:48 time: 0.396201 data_time: 0.023935 memory: 15677 loss_kpt: 0.019035 acc_pose: 0.737675 loss: 0.019035 2022/10/10 18:25:16 - mmengine - INFO - Epoch(train) [34][350/586] lr: 5.000000e-04 eta: 10:49:36 time: 0.404060 data_time: 0.025821 memory: 15677 loss_kpt: 0.019415 acc_pose: 0.630515 loss: 0.019415 2022/10/10 18:25:35 - mmengine - INFO - Epoch(train) [34][400/586] lr: 5.000000e-04 eta: 10:49:22 time: 0.392884 data_time: 0.025820 memory: 15677 loss_kpt: 0.019121 acc_pose: 0.617684 loss: 0.019121 2022/10/10 18:25:56 - mmengine - INFO - Epoch(train) [34][450/586] lr: 5.000000e-04 eta: 10:49:10 time: 0.404674 data_time: 0.024851 memory: 15677 loss_kpt: 0.019219 acc_pose: 0.662814 loss: 0.019219 2022/10/10 18:26:15 - mmengine - INFO - Epoch(train) [34][500/586] lr: 5.000000e-04 eta: 10:48:55 time: 0.392889 data_time: 0.026611 memory: 15677 loss_kpt: 0.019518 acc_pose: 0.616901 loss: 0.019518 2022/10/10 18:26:35 - mmengine - INFO - Epoch(train) [34][550/586] lr: 5.000000e-04 eta: 10:48:43 time: 0.400685 data_time: 0.026966 memory: 15677 loss_kpt: 0.019817 acc_pose: 0.664891 loss: 0.019817 2022/10/10 18:26:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:27:10 - mmengine - INFO - Epoch(train) [35][50/586] lr: 5.000000e-04 eta: 10:47:07 time: 0.404004 data_time: 0.032052 memory: 15677 loss_kpt: 0.020019 acc_pose: 0.551415 loss: 0.020019 2022/10/10 18:27:20 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:27:30 - mmengine - INFO - Epoch(train) [35][100/586] lr: 5.000000e-04 eta: 10:46:54 time: 0.401479 data_time: 0.025654 memory: 15677 loss_kpt: 0.019326 acc_pose: 0.574271 loss: 0.019326 2022/10/10 18:27:50 - mmengine - INFO - Epoch(train) [35][150/586] lr: 5.000000e-04 eta: 10:46:41 time: 0.397793 data_time: 0.024348 memory: 15677 loss_kpt: 0.019450 acc_pose: 0.608337 loss: 0.019450 2022/10/10 18:28:10 - mmengine - INFO - Epoch(train) [35][200/586] lr: 5.000000e-04 eta: 10:46:28 time: 0.399536 data_time: 0.031465 memory: 15677 loss_kpt: 0.019014 acc_pose: 0.623052 loss: 0.019014 2022/10/10 18:28:30 - mmengine - INFO - Epoch(train) [35][250/586] lr: 5.000000e-04 eta: 10:46:15 time: 0.400632 data_time: 0.028493 memory: 15677 loss_kpt: 0.019740 acc_pose: 0.646395 loss: 0.019740 2022/10/10 18:28:50 - mmengine - INFO - Epoch(train) [35][300/586] lr: 5.000000e-04 eta: 10:46:04 time: 0.407270 data_time: 0.025652 memory: 15677 loss_kpt: 0.019276 acc_pose: 0.650216 loss: 0.019276 2022/10/10 18:29:10 - mmengine - INFO - Epoch(train) [35][350/586] lr: 5.000000e-04 eta: 10:45:51 time: 0.397854 data_time: 0.026020 memory: 15677 loss_kpt: 0.019353 acc_pose: 0.585003 loss: 0.019353 2022/10/10 18:29:30 - mmengine - INFO - Epoch(train) [35][400/586] lr: 5.000000e-04 eta: 10:45:37 time: 0.398813 data_time: 0.026509 memory: 15677 loss_kpt: 0.019030 acc_pose: 0.611081 loss: 0.019030 2022/10/10 18:29:50 - mmengine - INFO - Epoch(train) [35][450/586] lr: 5.000000e-04 eta: 10:45:26 time: 0.405599 data_time: 0.027028 memory: 15677 loss_kpt: 0.018919 acc_pose: 0.606274 loss: 0.018919 2022/10/10 18:30:10 - mmengine - INFO - Epoch(train) [35][500/586] lr: 5.000000e-04 eta: 10:45:13 time: 0.400718 data_time: 0.025180 memory: 15677 loss_kpt: 0.019496 acc_pose: 0.649871 loss: 0.019496 2022/10/10 18:30:30 - mmengine - INFO - Epoch(train) [35][550/586] lr: 5.000000e-04 eta: 10:44:58 time: 0.394756 data_time: 0.025205 memory: 15677 loss_kpt: 0.019276 acc_pose: 0.661795 loss: 0.019276 2022/10/10 18:30:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:31:05 - mmengine - INFO - Epoch(train) [36][50/586] lr: 5.000000e-04 eta: 10:43:27 time: 0.413683 data_time: 0.042630 memory: 15677 loss_kpt: 0.019213 acc_pose: 0.593602 loss: 0.019213 2022/10/10 18:31:25 - mmengine - INFO - Epoch(train) [36][100/586] lr: 5.000000e-04 eta: 10:43:14 time: 0.398870 data_time: 0.024094 memory: 15677 loss_kpt: 0.019019 acc_pose: 0.655930 loss: 0.019019 2022/10/10 18:31:45 - mmengine - INFO - Epoch(train) [36][150/586] lr: 5.000000e-04 eta: 10:43:01 time: 0.400894 data_time: 0.026537 memory: 15677 loss_kpt: 0.019626 acc_pose: 0.583513 loss: 0.019626 2022/10/10 18:32:05 - mmengine - INFO - Epoch(train) [36][200/586] lr: 5.000000e-04 eta: 10:42:48 time: 0.400916 data_time: 0.028902 memory: 15677 loss_kpt: 0.019437 acc_pose: 0.605304 loss: 0.019437 2022/10/10 18:32:25 - mmengine - INFO - Epoch(train) [36][250/586] lr: 5.000000e-04 eta: 10:42:34 time: 0.396140 data_time: 0.025314 memory: 15677 loss_kpt: 0.019153 acc_pose: 0.617296 loss: 0.019153 2022/10/10 18:32:45 - mmengine - INFO - Epoch(train) [36][300/586] lr: 5.000000e-04 eta: 10:42:21 time: 0.402226 data_time: 0.029587 memory: 15677 loss_kpt: 0.018813 acc_pose: 0.635397 loss: 0.018813 2022/10/10 18:33:05 - mmengine - INFO - Epoch(train) [36][350/586] lr: 5.000000e-04 eta: 10:42:10 time: 0.405823 data_time: 0.026606 memory: 15677 loss_kpt: 0.019695 acc_pose: 0.634432 loss: 0.019695 2022/10/10 18:33:25 - mmengine - INFO - Epoch(train) [36][400/586] lr: 5.000000e-04 eta: 10:41:58 time: 0.405184 data_time: 0.029615 memory: 15677 loss_kpt: 0.019496 acc_pose: 0.664374 loss: 0.019496 2022/10/10 18:33:45 - mmengine - INFO - Epoch(train) [36][450/586] lr: 5.000000e-04 eta: 10:41:43 time: 0.394148 data_time: 0.027253 memory: 15677 loss_kpt: 0.019037 acc_pose: 0.575104 loss: 0.019037 2022/10/10 18:34:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:34:05 - mmengine - INFO - Epoch(train) [36][500/586] lr: 5.000000e-04 eta: 10:41:32 time: 0.408054 data_time: 0.026261 memory: 15677 loss_kpt: 0.019124 acc_pose: 0.608006 loss: 0.019124 2022/10/10 18:34:25 - mmengine - INFO - Epoch(train) [36][550/586] lr: 5.000000e-04 eta: 10:41:18 time: 0.399329 data_time: 0.024643 memory: 15677 loss_kpt: 0.018984 acc_pose: 0.661786 loss: 0.018984 2022/10/10 18:34:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:34:59 - mmengine - INFO - Epoch(train) [37][50/586] lr: 5.000000e-04 eta: 10:39:46 time: 0.401971 data_time: 0.033261 memory: 15677 loss_kpt: 0.019604 acc_pose: 0.640333 loss: 0.019604 2022/10/10 18:35:19 - mmengine - INFO - Epoch(train) [37][100/586] lr: 5.000000e-04 eta: 10:39:32 time: 0.395623 data_time: 0.025152 memory: 15677 loss_kpt: 0.018940 acc_pose: 0.628408 loss: 0.018940 2022/10/10 18:35:40 - mmengine - INFO - Epoch(train) [37][150/586] lr: 5.000000e-04 eta: 10:39:21 time: 0.409810 data_time: 0.028837 memory: 15677 loss_kpt: 0.019374 acc_pose: 0.561706 loss: 0.019374 2022/10/10 18:36:00 - mmengine - INFO - Epoch(train) [37][200/586] lr: 5.000000e-04 eta: 10:39:08 time: 0.399192 data_time: 0.027426 memory: 15677 loss_kpt: 0.019466 acc_pose: 0.693550 loss: 0.019466 2022/10/10 18:36:19 - mmengine - INFO - Epoch(train) [37][250/586] lr: 5.000000e-04 eta: 10:38:53 time: 0.394914 data_time: 0.025123 memory: 15677 loss_kpt: 0.018922 acc_pose: 0.636314 loss: 0.018922 2022/10/10 18:36:39 - mmengine - INFO - Epoch(train) [37][300/586] lr: 5.000000e-04 eta: 10:38:39 time: 0.398670 data_time: 0.024805 memory: 15677 loss_kpt: 0.019540 acc_pose: 0.596749 loss: 0.019540 2022/10/10 18:36:59 - mmengine - INFO - Epoch(train) [37][350/586] lr: 5.000000e-04 eta: 10:38:27 time: 0.403096 data_time: 0.024811 memory: 15677 loss_kpt: 0.019101 acc_pose: 0.681886 loss: 0.019101 2022/10/10 18:37:19 - mmengine - INFO - Epoch(train) [37][400/586] lr: 5.000000e-04 eta: 10:38:12 time: 0.395576 data_time: 0.026170 memory: 15677 loss_kpt: 0.019173 acc_pose: 0.722887 loss: 0.019173 2022/10/10 18:37:39 - mmengine - INFO - Epoch(train) [37][450/586] lr: 5.000000e-04 eta: 10:37:59 time: 0.400130 data_time: 0.026272 memory: 15677 loss_kpt: 0.019600 acc_pose: 0.616444 loss: 0.019600 2022/10/10 18:37:59 - mmengine - INFO - Epoch(train) [37][500/586] lr: 5.000000e-04 eta: 10:37:44 time: 0.396167 data_time: 0.025705 memory: 15677 loss_kpt: 0.018723 acc_pose: 0.747757 loss: 0.018723 2022/10/10 18:38:19 - mmengine - INFO - Epoch(train) [37][550/586] lr: 5.000000e-04 eta: 10:37:30 time: 0.396472 data_time: 0.029563 memory: 15677 loss_kpt: 0.019315 acc_pose: 0.672511 loss: 0.019315 2022/10/10 18:38:34 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:38:54 - mmengine - INFO - Epoch(train) [38][50/586] lr: 5.000000e-04 eta: 10:36:00 time: 0.403216 data_time: 0.035128 memory: 15677 loss_kpt: 0.018994 acc_pose: 0.681685 loss: 0.018994 2022/10/10 18:39:14 - mmengine - INFO - Epoch(train) [38][100/586] lr: 5.000000e-04 eta: 10:35:45 time: 0.391533 data_time: 0.025586 memory: 15677 loss_kpt: 0.019186 acc_pose: 0.608208 loss: 0.019186 2022/10/10 18:39:33 - mmengine - INFO - Epoch(train) [38][150/586] lr: 5.000000e-04 eta: 10:35:31 time: 0.399164 data_time: 0.024287 memory: 15677 loss_kpt: 0.018648 acc_pose: 0.618838 loss: 0.018648 2022/10/10 18:39:54 - mmengine - INFO - Epoch(train) [38][200/586] lr: 5.000000e-04 eta: 10:35:19 time: 0.405631 data_time: 0.028812 memory: 15677 loss_kpt: 0.019064 acc_pose: 0.635012 loss: 0.019064 2022/10/10 18:40:14 - mmengine - INFO - Epoch(train) [38][250/586] lr: 5.000000e-04 eta: 10:35:06 time: 0.400096 data_time: 0.028016 memory: 15677 loss_kpt: 0.019740 acc_pose: 0.630954 loss: 0.019740 2022/10/10 18:40:33 - mmengine - INFO - Epoch(train) [38][300/586] lr: 5.000000e-04 eta: 10:34:51 time: 0.392351 data_time: 0.025125 memory: 15677 loss_kpt: 0.018995 acc_pose: 0.641616 loss: 0.018995 2022/10/10 18:40:40 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:40:54 - mmengine - INFO - Epoch(train) [38][350/586] lr: 5.000000e-04 eta: 10:34:38 time: 0.403800 data_time: 0.030548 memory: 15677 loss_kpt: 0.018941 acc_pose: 0.617074 loss: 0.018941 2022/10/10 18:41:14 - mmengine - INFO - Epoch(train) [38][400/586] lr: 5.000000e-04 eta: 10:34:24 time: 0.398828 data_time: 0.025066 memory: 15677 loss_kpt: 0.019043 acc_pose: 0.673564 loss: 0.019043 2022/10/10 18:41:33 - mmengine - INFO - Epoch(train) [38][450/586] lr: 5.000000e-04 eta: 10:34:10 time: 0.397067 data_time: 0.025492 memory: 15677 loss_kpt: 0.019150 acc_pose: 0.549851 loss: 0.019150 2022/10/10 18:41:53 - mmengine - INFO - Epoch(train) [38][500/586] lr: 5.000000e-04 eta: 10:33:55 time: 0.393426 data_time: 0.025038 memory: 15677 loss_kpt: 0.019122 acc_pose: 0.646790 loss: 0.019122 2022/10/10 18:42:13 - mmengine - INFO - Epoch(train) [38][550/586] lr: 5.000000e-04 eta: 10:33:40 time: 0.397201 data_time: 0.024549 memory: 15677 loss_kpt: 0.019263 acc_pose: 0.606061 loss: 0.019263 2022/10/10 18:42:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:42:48 - mmengine - INFO - Epoch(train) [39][50/586] lr: 5.000000e-04 eta: 10:32:15 time: 0.415668 data_time: 0.031731 memory: 15677 loss_kpt: 0.019468 acc_pose: 0.711400 loss: 0.019468 2022/10/10 18:43:08 - mmengine - INFO - Epoch(train) [39][100/586] lr: 5.000000e-04 eta: 10:32:01 time: 0.395866 data_time: 0.030841 memory: 15677 loss_kpt: 0.019434 acc_pose: 0.733036 loss: 0.019434 2022/10/10 18:43:27 - mmengine - INFO - Epoch(train) [39][150/586] lr: 5.000000e-04 eta: 10:31:46 time: 0.393368 data_time: 0.023610 memory: 15677 loss_kpt: 0.019244 acc_pose: 0.627393 loss: 0.019244 2022/10/10 18:43:47 - mmengine - INFO - Epoch(train) [39][200/586] lr: 5.000000e-04 eta: 10:31:32 time: 0.400810 data_time: 0.024765 memory: 15677 loss_kpt: 0.019325 acc_pose: 0.645715 loss: 0.019325 2022/10/10 18:44:07 - mmengine - INFO - Epoch(train) [39][250/586] lr: 5.000000e-04 eta: 10:31:18 time: 0.397993 data_time: 0.029778 memory: 15677 loss_kpt: 0.019542 acc_pose: 0.665973 loss: 0.019542 2022/10/10 18:44:27 - mmengine - INFO - Epoch(train) [39][300/586] lr: 5.000000e-04 eta: 10:31:04 time: 0.398078 data_time: 0.024815 memory: 15677 loss_kpt: 0.018931 acc_pose: 0.571296 loss: 0.018931 2022/10/10 18:44:47 - mmengine - INFO - Epoch(train) [39][350/586] lr: 5.000000e-04 eta: 10:30:49 time: 0.394014 data_time: 0.027408 memory: 15677 loss_kpt: 0.019203 acc_pose: 0.666843 loss: 0.019203 2022/10/10 18:45:07 - mmengine - INFO - Epoch(train) [39][400/586] lr: 5.000000e-04 eta: 10:30:35 time: 0.398116 data_time: 0.026595 memory: 15677 loss_kpt: 0.019346 acc_pose: 0.616468 loss: 0.019346 2022/10/10 18:45:27 - mmengine - INFO - Epoch(train) [39][450/586] lr: 5.000000e-04 eta: 10:30:22 time: 0.400951 data_time: 0.026931 memory: 15677 loss_kpt: 0.018824 acc_pose: 0.657797 loss: 0.018824 2022/10/10 18:45:47 - mmengine - INFO - Epoch(train) [39][500/586] lr: 5.000000e-04 eta: 10:30:09 time: 0.406323 data_time: 0.024855 memory: 15677 loss_kpt: 0.019524 acc_pose: 0.705738 loss: 0.019524 2022/10/10 18:46:07 - mmengine - INFO - Epoch(train) [39][550/586] lr: 5.000000e-04 eta: 10:29:55 time: 0.395741 data_time: 0.028436 memory: 15677 loss_kpt: 0.018596 acc_pose: 0.654138 loss: 0.018596 2022/10/10 18:46:21 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:46:42 - mmengine - INFO - Epoch(train) [40][50/586] lr: 5.000000e-04 eta: 10:28:34 time: 0.428478 data_time: 0.036424 memory: 15677 loss_kpt: 0.019209 acc_pose: 0.699699 loss: 0.019209 2022/10/10 18:47:03 - mmengine - INFO - Epoch(train) [40][100/586] lr: 5.000000e-04 eta: 10:28:22 time: 0.407314 data_time: 0.026996 memory: 15677 loss_kpt: 0.019388 acc_pose: 0.685041 loss: 0.019388 2022/10/10 18:47:21 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:47:23 - mmengine - INFO - Epoch(train) [40][150/586] lr: 5.000000e-04 eta: 10:28:09 time: 0.403133 data_time: 0.024743 memory: 15677 loss_kpt: 0.018619 acc_pose: 0.755434 loss: 0.018619 2022/10/10 18:47:43 - mmengine - INFO - Epoch(train) [40][200/586] lr: 5.000000e-04 eta: 10:27:54 time: 0.393899 data_time: 0.027366 memory: 15677 loss_kpt: 0.018645 acc_pose: 0.637734 loss: 0.018645 2022/10/10 18:48:03 - mmengine - INFO - Epoch(train) [40][250/586] lr: 5.000000e-04 eta: 10:27:40 time: 0.399900 data_time: 0.026407 memory: 15677 loss_kpt: 0.018177 acc_pose: 0.633953 loss: 0.018177 2022/10/10 18:48:23 - mmengine - INFO - Epoch(train) [40][300/586] lr: 5.000000e-04 eta: 10:27:26 time: 0.399182 data_time: 0.027446 memory: 15677 loss_kpt: 0.018805 acc_pose: 0.737281 loss: 0.018805 2022/10/10 18:48:43 - mmengine - INFO - Epoch(train) [40][350/586] lr: 5.000000e-04 eta: 10:27:13 time: 0.403636 data_time: 0.027270 memory: 15677 loss_kpt: 0.019096 acc_pose: 0.623191 loss: 0.019096 2022/10/10 18:49:03 - mmengine - INFO - Epoch(train) [40][400/586] lr: 5.000000e-04 eta: 10:26:59 time: 0.399340 data_time: 0.028390 memory: 15677 loss_kpt: 0.018779 acc_pose: 0.620333 loss: 0.018779 2022/10/10 18:49:23 - mmengine - INFO - Epoch(train) [40][450/586] lr: 5.000000e-04 eta: 10:26:44 time: 0.396040 data_time: 0.026926 memory: 15677 loss_kpt: 0.018562 acc_pose: 0.684197 loss: 0.018562 2022/10/10 18:49:43 - mmengine - INFO - Epoch(train) [40][500/586] lr: 5.000000e-04 eta: 10:26:32 time: 0.407596 data_time: 0.029518 memory: 15677 loss_kpt: 0.019374 acc_pose: 0.500276 loss: 0.019374 2022/10/10 18:50:03 - mmengine - INFO - Epoch(train) [40][550/586] lr: 5.000000e-04 eta: 10:26:18 time: 0.399577 data_time: 0.025356 memory: 15677 loss_kpt: 0.019065 acc_pose: 0.627742 loss: 0.019065 2022/10/10 18:50:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:50:17 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/10/10 18:50:29 - mmengine - INFO - Epoch(val) [40][50/407] eta: 0:01:10 time: 0.198596 data_time: 0.014125 memory: 15677 2022/10/10 18:50:39 - mmengine - INFO - Epoch(val) [40][100/407] eta: 0:00:58 time: 0.189334 data_time: 0.008465 memory: 4213 2022/10/10 18:50:49 - mmengine - INFO - Epoch(val) [40][150/407] eta: 0:00:49 time: 0.192416 data_time: 0.011502 memory: 4213 2022/10/10 18:50:58 - mmengine - INFO - Epoch(val) [40][200/407] eta: 0:00:39 time: 0.190755 data_time: 0.009597 memory: 4213 2022/10/10 18:51:08 - mmengine - INFO - Epoch(val) [40][250/407] eta: 0:00:29 time: 0.190354 data_time: 0.009521 memory: 4213 2022/10/10 18:51:17 - mmengine - INFO - Epoch(val) [40][300/407] eta: 0:00:20 time: 0.190454 data_time: 0.009113 memory: 4213 2022/10/10 18:51:27 - mmengine - INFO - Epoch(val) [40][350/407] eta: 0:00:10 time: 0.189098 data_time: 0.008562 memory: 4213 2022/10/10 18:51:36 - mmengine - INFO - Epoch(val) [40][400/407] eta: 0:00:01 time: 0.193426 data_time: 0.012786 memory: 4213 2022/10/10 18:52:09 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 18:52:22 - mmengine - INFO - Epoch(val) [40][407/407] coco/AP: 0.574879 coco/AP .5: 0.829889 coco/AP .75: 0.640180 coco/AP (M): 0.549213 coco/AP (L): 0.630029 coco/AR: 0.637941 coco/AR .5: 0.874528 coco/AR .75: 0.701039 coco/AR (M): 0.600246 coco/AR (L): 0.691527 2022/10/10 18:52:22 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_30.pth is removed 2022/10/10 18:52:23 - mmengine - INFO - The best checkpoint with 0.5749 coco/AP at 40 epoch is saved to best_coco/AP_epoch_40.pth. 2022/10/10 18:52:43 - mmengine - INFO - Epoch(train) [41][50/586] lr: 5.000000e-04 eta: 10:24:52 time: 0.399203 data_time: 0.032764 memory: 15677 loss_kpt: 0.018847 acc_pose: 0.633341 loss: 0.018847 2022/10/10 18:53:03 - mmengine - INFO - Epoch(train) [41][100/586] lr: 5.000000e-04 eta: 10:24:38 time: 0.397735 data_time: 0.024344 memory: 15677 loss_kpt: 0.019591 acc_pose: 0.549729 loss: 0.019591 2022/10/10 18:53:24 - mmengine - INFO - Epoch(train) [41][150/586] lr: 5.000000e-04 eta: 10:24:26 time: 0.408985 data_time: 0.029072 memory: 15677 loss_kpt: 0.018961 acc_pose: 0.623106 loss: 0.018961 2022/10/10 18:53:44 - mmengine - INFO - Epoch(train) [41][200/586] lr: 5.000000e-04 eta: 10:24:12 time: 0.397314 data_time: 0.028587 memory: 15677 loss_kpt: 0.018864 acc_pose: 0.636450 loss: 0.018864 2022/10/10 18:54:04 - mmengine - INFO - Epoch(train) [41][250/586] lr: 5.000000e-04 eta: 10:23:57 time: 0.396514 data_time: 0.025182 memory: 15677 loss_kpt: 0.018629 acc_pose: 0.761902 loss: 0.018629 2022/10/10 18:54:23 - mmengine - INFO - Epoch(train) [41][300/586] lr: 5.000000e-04 eta: 10:23:42 time: 0.397741 data_time: 0.026197 memory: 15677 loss_kpt: 0.018395 acc_pose: 0.646075 loss: 0.018395 2022/10/10 18:54:44 - mmengine - INFO - Epoch(train) [41][350/586] lr: 5.000000e-04 eta: 10:23:31 time: 0.411308 data_time: 0.026617 memory: 15677 loss_kpt: 0.019116 acc_pose: 0.640390 loss: 0.019116 2022/10/10 18:55:04 - mmengine - INFO - Epoch(train) [41][400/586] lr: 5.000000e-04 eta: 10:23:16 time: 0.395355 data_time: 0.029786 memory: 15677 loss_kpt: 0.019040 acc_pose: 0.674535 loss: 0.019040 2022/10/10 18:55:24 - mmengine - INFO - Epoch(train) [41][450/586] lr: 5.000000e-04 eta: 10:23:02 time: 0.400577 data_time: 0.024970 memory: 15677 loss_kpt: 0.018818 acc_pose: 0.598908 loss: 0.018818 2022/10/10 18:55:44 - mmengine - INFO - Epoch(train) [41][500/586] lr: 5.000000e-04 eta: 10:22:49 time: 0.406580 data_time: 0.037511 memory: 15677 loss_kpt: 0.018956 acc_pose: 0.654296 loss: 0.018956 2022/10/10 18:56:04 - mmengine - INFO - Epoch(train) [41][550/586] lr: 5.000000e-04 eta: 10:22:36 time: 0.403494 data_time: 0.025960 memory: 15677 loss_kpt: 0.018850 acc_pose: 0.696361 loss: 0.018850 2022/10/10 18:56:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:56:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 18:56:39 - mmengine - INFO - Epoch(train) [42][50/586] lr: 5.000000e-04 eta: 10:21:16 time: 0.419767 data_time: 0.032058 memory: 15677 loss_kpt: 0.019124 acc_pose: 0.648570 loss: 0.019124 2022/10/10 18:56:59 - mmengine - INFO - Epoch(train) [42][100/586] lr: 5.000000e-04 eta: 10:21:01 time: 0.395518 data_time: 0.022925 memory: 15677 loss_kpt: 0.019038 acc_pose: 0.608285 loss: 0.019038 2022/10/10 18:57:19 - mmengine - INFO - Epoch(train) [42][150/586] lr: 5.000000e-04 eta: 10:20:46 time: 0.395138 data_time: 0.026156 memory: 15677 loss_kpt: 0.018433 acc_pose: 0.717311 loss: 0.018433 2022/10/10 18:57:39 - mmengine - INFO - Epoch(train) [42][200/586] lr: 5.000000e-04 eta: 10:20:34 time: 0.406769 data_time: 0.027524 memory: 15677 loss_kpt: 0.019146 acc_pose: 0.656725 loss: 0.019146 2022/10/10 18:57:59 - mmengine - INFO - Epoch(train) [42][250/586] lr: 5.000000e-04 eta: 10:20:19 time: 0.397249 data_time: 0.026369 memory: 15677 loss_kpt: 0.018915 acc_pose: 0.507715 loss: 0.018915 2022/10/10 18:58:19 - mmengine - INFO - Epoch(train) [42][300/586] lr: 5.000000e-04 eta: 10:20:04 time: 0.396814 data_time: 0.025839 memory: 15677 loss_kpt: 0.018655 acc_pose: 0.665427 loss: 0.018655 2022/10/10 18:58:39 - mmengine - INFO - Epoch(train) [42][350/586] lr: 5.000000e-04 eta: 10:19:49 time: 0.394941 data_time: 0.024249 memory: 15677 loss_kpt: 0.018707 acc_pose: 0.684786 loss: 0.018707 2022/10/10 18:58:59 - mmengine - INFO - Epoch(train) [42][400/586] lr: 5.000000e-04 eta: 10:19:36 time: 0.405125 data_time: 0.023440 memory: 15677 loss_kpt: 0.018910 acc_pose: 0.574447 loss: 0.018910 2022/10/10 18:59:19 - mmengine - INFO - Epoch(train) [42][450/586] lr: 5.000000e-04 eta: 10:19:21 time: 0.398696 data_time: 0.027472 memory: 15677 loss_kpt: 0.018670 acc_pose: 0.656222 loss: 0.018670 2022/10/10 18:59:39 - mmengine - INFO - Epoch(train) [42][500/586] lr: 5.000000e-04 eta: 10:19:07 time: 0.398273 data_time: 0.025713 memory: 15677 loss_kpt: 0.018916 acc_pose: 0.648385 loss: 0.018916 2022/10/10 18:59:59 - mmengine - INFO - Epoch(train) [42][550/586] lr: 5.000000e-04 eta: 10:18:53 time: 0.403139 data_time: 0.023842 memory: 15677 loss_kpt: 0.018439 acc_pose: 0.648581 loss: 0.018439 2022/10/10 19:00:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:00:34 - mmengine - INFO - Epoch(train) [43][50/586] lr: 5.000000e-04 eta: 10:17:36 time: 0.421544 data_time: 0.032595 memory: 15677 loss_kpt: 0.019162 acc_pose: 0.624743 loss: 0.019162 2022/10/10 19:00:55 - mmengine - INFO - Epoch(train) [43][100/586] lr: 5.000000e-04 eta: 10:17:22 time: 0.404537 data_time: 0.025270 memory: 15677 loss_kpt: 0.019252 acc_pose: 0.726746 loss: 0.019252 2022/10/10 19:01:14 - mmengine - INFO - Epoch(train) [43][150/586] lr: 5.000000e-04 eta: 10:17:07 time: 0.396509 data_time: 0.026995 memory: 15677 loss_kpt: 0.018505 acc_pose: 0.591860 loss: 0.018505 2022/10/10 19:01:34 - mmengine - INFO - Epoch(train) [43][200/586] lr: 5.000000e-04 eta: 10:16:52 time: 0.395841 data_time: 0.029332 memory: 15677 loss_kpt: 0.018605 acc_pose: 0.662964 loss: 0.018605 2022/10/10 19:01:54 - mmengine - INFO - Epoch(train) [43][250/586] lr: 5.000000e-04 eta: 10:16:39 time: 0.403958 data_time: 0.028895 memory: 15677 loss_kpt: 0.018451 acc_pose: 0.709147 loss: 0.018451 2022/10/10 19:02:15 - mmengine - INFO - Epoch(train) [43][300/586] lr: 5.000000e-04 eta: 10:16:25 time: 0.403130 data_time: 0.028579 memory: 15677 loss_kpt: 0.019238 acc_pose: 0.575042 loss: 0.019238 2022/10/10 19:02:35 - mmengine - INFO - Epoch(train) [43][350/586] lr: 5.000000e-04 eta: 10:16:11 time: 0.402599 data_time: 0.025643 memory: 15677 loss_kpt: 0.018457 acc_pose: 0.649565 loss: 0.018457 2022/10/10 19:02:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:02:55 - mmengine - INFO - Epoch(train) [43][400/586] lr: 5.000000e-04 eta: 10:15:56 time: 0.395751 data_time: 0.026967 memory: 15677 loss_kpt: 0.019112 acc_pose: 0.476018 loss: 0.019112 2022/10/10 19:03:15 - mmengine - INFO - Epoch(train) [43][450/586] lr: 5.000000e-04 eta: 10:15:43 time: 0.406401 data_time: 0.025834 memory: 15677 loss_kpt: 0.018768 acc_pose: 0.641573 loss: 0.018768 2022/10/10 19:03:35 - mmengine - INFO - Epoch(train) [43][500/586] lr: 5.000000e-04 eta: 10:15:30 time: 0.403516 data_time: 0.031398 memory: 15677 loss_kpt: 0.018985 acc_pose: 0.726799 loss: 0.018985 2022/10/10 19:03:55 - mmengine - INFO - Epoch(train) [43][550/586] lr: 5.000000e-04 eta: 10:15:15 time: 0.399390 data_time: 0.028124 memory: 15677 loss_kpt: 0.018808 acc_pose: 0.624627 loss: 0.018808 2022/10/10 19:04:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:04:30 - mmengine - INFO - Epoch(train) [44][50/586] lr: 5.000000e-04 eta: 10:13:58 time: 0.420171 data_time: 0.035214 memory: 15677 loss_kpt: 0.019181 acc_pose: 0.741900 loss: 0.019181 2022/10/10 19:04:50 - mmengine - INFO - Epoch(train) [44][100/586] lr: 5.000000e-04 eta: 10:13:44 time: 0.401393 data_time: 0.026805 memory: 15677 loss_kpt: 0.018438 acc_pose: 0.727097 loss: 0.018438 2022/10/10 19:05:10 - mmengine - INFO - Epoch(train) [44][150/586] lr: 5.000000e-04 eta: 10:13:29 time: 0.396809 data_time: 0.025788 memory: 15677 loss_kpt: 0.018819 acc_pose: 0.669171 loss: 0.018819 2022/10/10 19:05:30 - mmengine - INFO - Epoch(train) [44][200/586] lr: 5.000000e-04 eta: 10:13:16 time: 0.405837 data_time: 0.029308 memory: 15677 loss_kpt: 0.019130 acc_pose: 0.660983 loss: 0.019130 2022/10/10 19:05:50 - mmengine - INFO - Epoch(train) [44][250/586] lr: 5.000000e-04 eta: 10:13:01 time: 0.394629 data_time: 0.024960 memory: 15677 loss_kpt: 0.018779 acc_pose: 0.746465 loss: 0.018779 2022/10/10 19:06:10 - mmengine - INFO - Epoch(train) [44][300/586] lr: 5.000000e-04 eta: 10:12:46 time: 0.396140 data_time: 0.027270 memory: 15677 loss_kpt: 0.018366 acc_pose: 0.699577 loss: 0.018366 2022/10/10 19:06:30 - mmengine - INFO - Epoch(train) [44][350/586] lr: 5.000000e-04 eta: 10:12:32 time: 0.402219 data_time: 0.029453 memory: 15677 loss_kpt: 0.018785 acc_pose: 0.638002 loss: 0.018785 2022/10/10 19:06:50 - mmengine - INFO - Epoch(train) [44][400/586] lr: 5.000000e-04 eta: 10:12:18 time: 0.403888 data_time: 0.028908 memory: 15677 loss_kpt: 0.018972 acc_pose: 0.747657 loss: 0.018972 2022/10/10 19:07:10 - mmengine - INFO - Epoch(train) [44][450/586] lr: 5.000000e-04 eta: 10:12:03 time: 0.396233 data_time: 0.030200 memory: 15677 loss_kpt: 0.018962 acc_pose: 0.745611 loss: 0.018962 2022/10/10 19:07:30 - mmengine - INFO - Epoch(train) [44][500/586] lr: 5.000000e-04 eta: 10:11:49 time: 0.401685 data_time: 0.026773 memory: 15677 loss_kpt: 0.018861 acc_pose: 0.731029 loss: 0.018861 2022/10/10 19:07:50 - mmengine - INFO - Epoch(train) [44][550/586] lr: 5.000000e-04 eta: 10:11:35 time: 0.405680 data_time: 0.031356 memory: 15677 loss_kpt: 0.018497 acc_pose: 0.611486 loss: 0.018497 2022/10/10 19:08:05 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:08:25 - mmengine - INFO - Epoch(train) [45][50/586] lr: 5.000000e-04 eta: 10:10:16 time: 0.403006 data_time: 0.033944 memory: 15677 loss_kpt: 0.018771 acc_pose: 0.668175 loss: 0.018771 2022/10/10 19:08:45 - mmengine - INFO - Epoch(train) [45][100/586] lr: 5.000000e-04 eta: 10:10:02 time: 0.398882 data_time: 0.027935 memory: 15677 loss_kpt: 0.018869 acc_pose: 0.636276 loss: 0.018869 2022/10/10 19:09:05 - mmengine - INFO - Epoch(train) [45][150/586] lr: 5.000000e-04 eta: 10:09:48 time: 0.405093 data_time: 0.025914 memory: 15677 loss_kpt: 0.018869 acc_pose: 0.631259 loss: 0.018869 2022/10/10 19:09:25 - mmengine - INFO - Epoch(train) [45][200/586] lr: 5.000000e-04 eta: 10:09:33 time: 0.397934 data_time: 0.026807 memory: 15677 loss_kpt: 0.018792 acc_pose: 0.659062 loss: 0.018792 2022/10/10 19:09:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:09:45 - mmengine - INFO - Epoch(train) [45][250/586] lr: 5.000000e-04 eta: 10:09:20 time: 0.403718 data_time: 0.024877 memory: 15677 loss_kpt: 0.018887 acc_pose: 0.583173 loss: 0.018887 2022/10/10 19:10:05 - mmengine - INFO - Epoch(train) [45][300/586] lr: 5.000000e-04 eta: 10:09:04 time: 0.396707 data_time: 0.025436 memory: 15677 loss_kpt: 0.018921 acc_pose: 0.620691 loss: 0.018921 2022/10/10 19:10:25 - mmengine - INFO - Epoch(train) [45][350/586] lr: 5.000000e-04 eta: 10:08:50 time: 0.399383 data_time: 0.024427 memory: 15677 loss_kpt: 0.019201 acc_pose: 0.693478 loss: 0.019201 2022/10/10 19:10:45 - mmengine - INFO - Epoch(train) [45][400/586] lr: 5.000000e-04 eta: 10:08:36 time: 0.406200 data_time: 0.028788 memory: 15677 loss_kpt: 0.018944 acc_pose: 0.706311 loss: 0.018944 2022/10/10 19:11:05 - mmengine - INFO - Epoch(train) [45][450/586] lr: 5.000000e-04 eta: 10:08:21 time: 0.395142 data_time: 0.028378 memory: 15677 loss_kpt: 0.019417 acc_pose: 0.656403 loss: 0.019417 2022/10/10 19:11:25 - mmengine - INFO - Epoch(train) [45][500/586] lr: 5.000000e-04 eta: 10:08:06 time: 0.400302 data_time: 0.029372 memory: 15677 loss_kpt: 0.018585 acc_pose: 0.638687 loss: 0.018585 2022/10/10 19:11:45 - mmengine - INFO - Epoch(train) [45][550/586] lr: 5.000000e-04 eta: 10:07:52 time: 0.399464 data_time: 0.025407 memory: 15677 loss_kpt: 0.018623 acc_pose: 0.570425 loss: 0.018623 2022/10/10 19:11:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:12:20 - mmengine - INFO - Epoch(train) [46][50/586] lr: 5.000000e-04 eta: 10:06:35 time: 0.406980 data_time: 0.036211 memory: 15677 loss_kpt: 0.018731 acc_pose: 0.649866 loss: 0.018731 2022/10/10 19:12:39 - mmengine - INFO - Epoch(train) [46][100/586] lr: 5.000000e-04 eta: 10:06:19 time: 0.393401 data_time: 0.026822 memory: 15677 loss_kpt: 0.018807 acc_pose: 0.620002 loss: 0.018807 2022/10/10 19:12:59 - mmengine - INFO - Epoch(train) [46][150/586] lr: 5.000000e-04 eta: 10:06:04 time: 0.393981 data_time: 0.023782 memory: 15677 loss_kpt: 0.018575 acc_pose: 0.632099 loss: 0.018575 2022/10/10 19:13:19 - mmengine - INFO - Epoch(train) [46][200/586] lr: 5.000000e-04 eta: 10:05:50 time: 0.403866 data_time: 0.025886 memory: 15677 loss_kpt: 0.018174 acc_pose: 0.657837 loss: 0.018174 2022/10/10 19:13:39 - mmengine - INFO - Epoch(train) [46][250/586] lr: 5.000000e-04 eta: 10:05:36 time: 0.403041 data_time: 0.030788 memory: 15677 loss_kpt: 0.018555 acc_pose: 0.641748 loss: 0.018555 2022/10/10 19:13:59 - mmengine - INFO - Epoch(train) [46][300/586] lr: 5.000000e-04 eta: 10:05:21 time: 0.398184 data_time: 0.025177 memory: 15677 loss_kpt: 0.018537 acc_pose: 0.649870 loss: 0.018537 2022/10/10 19:14:19 - mmengine - INFO - Epoch(train) [46][350/586] lr: 5.000000e-04 eta: 10:05:06 time: 0.400649 data_time: 0.024590 memory: 15677 loss_kpt: 0.018771 acc_pose: 0.685894 loss: 0.018771 2022/10/10 19:14:39 - mmengine - INFO - Epoch(train) [46][400/586] lr: 5.000000e-04 eta: 10:04:52 time: 0.401905 data_time: 0.026816 memory: 15677 loss_kpt: 0.018616 acc_pose: 0.636662 loss: 0.018616 2022/10/10 19:15:00 - mmengine - INFO - Epoch(train) [46][450/586] lr: 5.000000e-04 eta: 10:04:38 time: 0.405479 data_time: 0.026824 memory: 15677 loss_kpt: 0.018914 acc_pose: 0.641811 loss: 0.018914 2022/10/10 19:15:20 - mmengine - INFO - Epoch(train) [46][500/586] lr: 5.000000e-04 eta: 10:04:26 time: 0.414965 data_time: 0.025944 memory: 15677 loss_kpt: 0.018448 acc_pose: 0.684827 loss: 0.018448 2022/10/10 19:15:40 - mmengine - INFO - Epoch(train) [46][550/586] lr: 5.000000e-04 eta: 10:04:11 time: 0.398755 data_time: 0.024492 memory: 15677 loss_kpt: 0.018787 acc_pose: 0.720329 loss: 0.018787 2022/10/10 19:15:54 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:16:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:16:15 - mmengine - INFO - Epoch(train) [47][50/586] lr: 5.000000e-04 eta: 10:02:57 time: 0.414025 data_time: 0.033515 memory: 15677 loss_kpt: 0.017891 acc_pose: 0.641485 loss: 0.017891 2022/10/10 19:16:35 - mmengine - INFO - Epoch(train) [47][100/586] lr: 5.000000e-04 eta: 10:02:42 time: 0.401619 data_time: 0.024131 memory: 15677 loss_kpt: 0.018910 acc_pose: 0.628144 loss: 0.018910 2022/10/10 19:16:55 - mmengine - INFO - Epoch(train) [47][150/586] lr: 5.000000e-04 eta: 10:02:28 time: 0.399092 data_time: 0.024232 memory: 15677 loss_kpt: 0.018646 acc_pose: 0.711628 loss: 0.018646 2022/10/10 19:17:15 - mmengine - INFO - Epoch(train) [47][200/586] lr: 5.000000e-04 eta: 10:02:13 time: 0.401133 data_time: 0.024386 memory: 15677 loss_kpt: 0.018825 acc_pose: 0.635520 loss: 0.018825 2022/10/10 19:17:36 - mmengine - INFO - Epoch(train) [47][250/586] lr: 5.000000e-04 eta: 10:01:59 time: 0.405442 data_time: 0.026289 memory: 15677 loss_kpt: 0.018665 acc_pose: 0.693071 loss: 0.018665 2022/10/10 19:17:56 - mmengine - INFO - Epoch(train) [47][300/586] lr: 5.000000e-04 eta: 10:01:44 time: 0.399330 data_time: 0.028746 memory: 15677 loss_kpt: 0.018330 acc_pose: 0.592157 loss: 0.018330 2022/10/10 19:18:15 - mmengine - INFO - Epoch(train) [47][350/586] lr: 5.000000e-04 eta: 10:01:28 time: 0.393584 data_time: 0.026680 memory: 15677 loss_kpt: 0.018434 acc_pose: 0.669119 loss: 0.018434 2022/10/10 19:18:35 - mmengine - INFO - Epoch(train) [47][400/586] lr: 5.000000e-04 eta: 10:01:14 time: 0.399259 data_time: 0.028827 memory: 15677 loss_kpt: 0.018543 acc_pose: 0.733813 loss: 0.018543 2022/10/10 19:18:55 - mmengine - INFO - Epoch(train) [47][450/586] lr: 5.000000e-04 eta: 10:00:59 time: 0.402535 data_time: 0.030901 memory: 15677 loss_kpt: 0.018150 acc_pose: 0.724221 loss: 0.018150 2022/10/10 19:19:15 - mmengine - INFO - Epoch(train) [47][500/586] lr: 5.000000e-04 eta: 10:00:44 time: 0.397917 data_time: 0.025909 memory: 15677 loss_kpt: 0.018817 acc_pose: 0.580775 loss: 0.018817 2022/10/10 19:19:35 - mmengine - INFO - Epoch(train) [47][550/586] lr: 5.000000e-04 eta: 10:00:29 time: 0.399224 data_time: 0.026508 memory: 15677 loss_kpt: 0.018300 acc_pose: 0.634839 loss: 0.018300 2022/10/10 19:19:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:20:10 - mmengine - INFO - Epoch(train) [48][50/586] lr: 5.000000e-04 eta: 9:59:17 time: 0.418965 data_time: 0.034695 memory: 15677 loss_kpt: 0.018448 acc_pose: 0.708976 loss: 0.018448 2022/10/10 19:20:30 - mmengine - INFO - Epoch(train) [48][100/586] lr: 5.000000e-04 eta: 9:59:02 time: 0.398060 data_time: 0.024327 memory: 15677 loss_kpt: 0.018195 acc_pose: 0.642252 loss: 0.018195 2022/10/10 19:20:50 - mmengine - INFO - Epoch(train) [48][150/586] lr: 5.000000e-04 eta: 9:58:47 time: 0.401901 data_time: 0.027627 memory: 15677 loss_kpt: 0.018809 acc_pose: 0.684647 loss: 0.018809 2022/10/10 19:21:10 - mmengine - INFO - Epoch(train) [48][200/586] lr: 5.000000e-04 eta: 9:58:33 time: 0.402142 data_time: 0.024311 memory: 15677 loss_kpt: 0.018828 acc_pose: 0.624228 loss: 0.018828 2022/10/10 19:21:32 - mmengine - INFO - Epoch(train) [48][250/586] lr: 5.000000e-04 eta: 9:58:23 time: 0.430707 data_time: 0.024111 memory: 15677 loss_kpt: 0.018830 acc_pose: 0.726662 loss: 0.018830 2022/10/10 19:21:54 - mmengine - INFO - Epoch(train) [48][300/586] lr: 5.000000e-04 eta: 9:58:15 time: 0.441543 data_time: 0.026571 memory: 15677 loss_kpt: 0.018351 acc_pose: 0.699242 loss: 0.018351 2022/10/10 19:22:15 - mmengine - INFO - Epoch(train) [48][350/586] lr: 5.000000e-04 eta: 9:58:03 time: 0.413657 data_time: 0.030730 memory: 15677 loss_kpt: 0.018555 acc_pose: 0.671504 loss: 0.018555 2022/10/10 19:22:35 - mmengine - INFO - Epoch(train) [48][400/586] lr: 5.000000e-04 eta: 9:57:48 time: 0.399523 data_time: 0.029942 memory: 15677 loss_kpt: 0.018408 acc_pose: 0.657937 loss: 0.018408 2022/10/10 19:22:55 - mmengine - INFO - Epoch(train) [48][450/586] lr: 5.000000e-04 eta: 9:57:34 time: 0.406881 data_time: 0.026423 memory: 15677 loss_kpt: 0.018579 acc_pose: 0.604388 loss: 0.018579 2022/10/10 19:22:58 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:23:15 - mmengine - INFO - Epoch(train) [48][500/586] lr: 5.000000e-04 eta: 9:57:18 time: 0.394804 data_time: 0.025370 memory: 15677 loss_kpt: 0.018488 acc_pose: 0.637807 loss: 0.018488 2022/10/10 19:23:35 - mmengine - INFO - Epoch(train) [48][550/586] lr: 5.000000e-04 eta: 9:57:03 time: 0.401899 data_time: 0.023935 memory: 15677 loss_kpt: 0.018594 acc_pose: 0.566939 loss: 0.018594 2022/10/10 19:23:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:24:09 - mmengine - INFO - Epoch(train) [49][50/586] lr: 5.000000e-04 eta: 9:55:49 time: 0.400369 data_time: 0.033630 memory: 15677 loss_kpt: 0.018604 acc_pose: 0.641360 loss: 0.018604 2022/10/10 19:24:29 - mmengine - INFO - Epoch(train) [49][100/586] lr: 5.000000e-04 eta: 9:55:34 time: 0.399766 data_time: 0.024858 memory: 15677 loss_kpt: 0.018308 acc_pose: 0.695071 loss: 0.018308 2022/10/10 19:24:49 - mmengine - INFO - Epoch(train) [49][150/586] lr: 5.000000e-04 eta: 9:55:19 time: 0.401866 data_time: 0.025268 memory: 15677 loss_kpt: 0.018261 acc_pose: 0.653440 loss: 0.018261 2022/10/10 19:25:09 - mmengine - INFO - Epoch(train) [49][200/586] lr: 5.000000e-04 eta: 9:55:05 time: 0.402590 data_time: 0.027205 memory: 15677 loss_kpt: 0.018841 acc_pose: 0.606428 loss: 0.018841 2022/10/10 19:25:29 - mmengine - INFO - Epoch(train) [49][250/586] lr: 5.000000e-04 eta: 9:54:49 time: 0.394652 data_time: 0.025419 memory: 15677 loss_kpt: 0.018334 acc_pose: 0.685333 loss: 0.018334 2022/10/10 19:25:49 - mmengine - INFO - Epoch(train) [49][300/586] lr: 5.000000e-04 eta: 9:54:34 time: 0.400782 data_time: 0.025518 memory: 15677 loss_kpt: 0.018223 acc_pose: 0.672701 loss: 0.018223 2022/10/10 19:26:09 - mmengine - INFO - Epoch(train) [49][350/586] lr: 5.000000e-04 eta: 9:54:20 time: 0.404360 data_time: 0.026343 memory: 15677 loss_kpt: 0.018181 acc_pose: 0.680492 loss: 0.018181 2022/10/10 19:26:29 - mmengine - INFO - Epoch(train) [49][400/586] lr: 5.000000e-04 eta: 9:54:05 time: 0.399005 data_time: 0.029788 memory: 15677 loss_kpt: 0.018726 acc_pose: 0.582909 loss: 0.018726 2022/10/10 19:26:49 - mmengine - INFO - Epoch(train) [49][450/586] lr: 5.000000e-04 eta: 9:53:49 time: 0.398057 data_time: 0.024600 memory: 15677 loss_kpt: 0.018120 acc_pose: 0.608713 loss: 0.018120 2022/10/10 19:27:09 - mmengine - INFO - Epoch(train) [49][500/586] lr: 5.000000e-04 eta: 9:53:33 time: 0.395325 data_time: 0.025043 memory: 15677 loss_kpt: 0.018508 acc_pose: 0.580724 loss: 0.018508 2022/10/10 19:27:29 - mmengine - INFO - Epoch(train) [49][550/586] lr: 5.000000e-04 eta: 9:53:19 time: 0.402772 data_time: 0.025535 memory: 15677 loss_kpt: 0.018476 acc_pose: 0.606322 loss: 0.018476 2022/10/10 19:27:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:28:04 - mmengine - INFO - Epoch(train) [50][50/586] lr: 5.000000e-04 eta: 9:52:07 time: 0.409671 data_time: 0.038264 memory: 15677 loss_kpt: 0.018570 acc_pose: 0.680279 loss: 0.018570 2022/10/10 19:28:24 - mmengine - INFO - Epoch(train) [50][100/586] lr: 5.000000e-04 eta: 9:51:51 time: 0.394867 data_time: 0.027366 memory: 15677 loss_kpt: 0.018158 acc_pose: 0.588676 loss: 0.018158 2022/10/10 19:28:43 - mmengine - INFO - Epoch(train) [50][150/586] lr: 5.000000e-04 eta: 9:51:35 time: 0.393245 data_time: 0.026928 memory: 15677 loss_kpt: 0.018030 acc_pose: 0.672681 loss: 0.018030 2022/10/10 19:29:03 - mmengine - INFO - Epoch(train) [50][200/586] lr: 5.000000e-04 eta: 9:51:20 time: 0.401416 data_time: 0.024182 memory: 15677 loss_kpt: 0.018157 acc_pose: 0.656045 loss: 0.018157 2022/10/10 19:29:23 - mmengine - INFO - Epoch(train) [50][250/586] lr: 5.000000e-04 eta: 9:51:05 time: 0.397904 data_time: 0.026365 memory: 15677 loss_kpt: 0.018551 acc_pose: 0.698471 loss: 0.018551 2022/10/10 19:29:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:29:43 - mmengine - INFO - Epoch(train) [50][300/586] lr: 5.000000e-04 eta: 9:50:50 time: 0.399472 data_time: 0.025212 memory: 15677 loss_kpt: 0.018842 acc_pose: 0.741886 loss: 0.018842 2022/10/10 19:30:03 - mmengine - INFO - Epoch(train) [50][350/586] lr: 5.000000e-04 eta: 9:50:34 time: 0.399508 data_time: 0.024497 memory: 15677 loss_kpt: 0.018393 acc_pose: 0.605392 loss: 0.018393 2022/10/10 19:30:23 - mmengine - INFO - Epoch(train) [50][400/586] lr: 5.000000e-04 eta: 9:50:19 time: 0.396994 data_time: 0.023947 memory: 15677 loss_kpt: 0.018569 acc_pose: 0.685795 loss: 0.018569 2022/10/10 19:30:43 - mmengine - INFO - Epoch(train) [50][450/586] lr: 5.000000e-04 eta: 9:50:05 time: 0.407267 data_time: 0.026348 memory: 15677 loss_kpt: 0.018644 acc_pose: 0.640308 loss: 0.018644 2022/10/10 19:31:04 - mmengine - INFO - Epoch(train) [50][500/586] lr: 5.000000e-04 eta: 9:49:50 time: 0.403827 data_time: 0.030429 memory: 15677 loss_kpt: 0.018602 acc_pose: 0.682332 loss: 0.018602 2022/10/10 19:31:23 - mmengine - INFO - Epoch(train) [50][550/586] lr: 5.000000e-04 eta: 9:49:34 time: 0.395313 data_time: 0.029202 memory: 15677 loss_kpt: 0.018265 acc_pose: 0.761900 loss: 0.018265 2022/10/10 19:31:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:31:38 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/10/10 19:31:50 - mmengine - INFO - Epoch(val) [50][50/407] eta: 0:01:10 time: 0.196590 data_time: 0.014256 memory: 15677 2022/10/10 19:32:00 - mmengine - INFO - Epoch(val) [50][100/407] eta: 0:01:00 time: 0.198083 data_time: 0.017503 memory: 4213 2022/10/10 19:32:10 - mmengine - INFO - Epoch(val) [50][150/407] eta: 0:00:49 time: 0.192141 data_time: 0.011004 memory: 4213 2022/10/10 19:32:19 - mmengine - INFO - Epoch(val) [50][200/407] eta: 0:00:39 time: 0.190844 data_time: 0.009650 memory: 4213 2022/10/10 19:32:29 - mmengine - INFO - Epoch(val) [50][250/407] eta: 0:00:29 time: 0.190133 data_time: 0.009094 memory: 4213 2022/10/10 19:32:38 - mmengine - INFO - Epoch(val) [50][300/407] eta: 0:00:20 time: 0.189611 data_time: 0.009102 memory: 4213 2022/10/10 19:32:48 - mmengine - INFO - Epoch(val) [50][350/407] eta: 0:00:10 time: 0.189471 data_time: 0.009139 memory: 4213 2022/10/10 19:32:57 - mmengine - INFO - Epoch(val) [50][400/407] eta: 0:00:01 time: 0.193186 data_time: 0.012329 memory: 4213 2022/10/10 19:33:30 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 19:33:43 - mmengine - INFO - Epoch(val) [50][407/407] coco/AP: 0.591745 coco/AP .5: 0.836708 coco/AP .75: 0.658779 coco/AP (M): 0.565187 coco/AP (L): 0.649555 coco/AR: 0.650850 coco/AR .5: 0.880668 coco/AR .75: 0.712531 coco/AR (M): 0.612374 coco/AR (L): 0.706094 2022/10/10 19:33:43 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_40.pth is removed 2022/10/10 19:33:44 - mmengine - INFO - The best checkpoint with 0.5917 coco/AP at 50 epoch is saved to best_coco/AP_epoch_50.pth. 2022/10/10 19:34:05 - mmengine - INFO - Epoch(train) [51][50/586] lr: 5.000000e-04 eta: 9:48:23 time: 0.402620 data_time: 0.032237 memory: 15677 loss_kpt: 0.018266 acc_pose: 0.653679 loss: 0.018266 2022/10/10 19:34:25 - mmengine - INFO - Epoch(train) [51][100/586] lr: 5.000000e-04 eta: 9:48:09 time: 0.411204 data_time: 0.028201 memory: 15677 loss_kpt: 0.018510 acc_pose: 0.633412 loss: 0.018510 2022/10/10 19:34:45 - mmengine - INFO - Epoch(train) [51][150/586] lr: 5.000000e-04 eta: 9:47:53 time: 0.391452 data_time: 0.027337 memory: 15677 loss_kpt: 0.018705 acc_pose: 0.559391 loss: 0.018705 2022/10/10 19:35:05 - mmengine - INFO - Epoch(train) [51][200/586] lr: 5.000000e-04 eta: 9:47:38 time: 0.400280 data_time: 0.026951 memory: 15677 loss_kpt: 0.018481 acc_pose: 0.695639 loss: 0.018481 2022/10/10 19:35:25 - mmengine - INFO - Epoch(train) [51][250/586] lr: 5.000000e-04 eta: 9:47:23 time: 0.400219 data_time: 0.025130 memory: 15677 loss_kpt: 0.018807 acc_pose: 0.715517 loss: 0.018807 2022/10/10 19:35:45 - mmengine - INFO - Epoch(train) [51][300/586] lr: 5.000000e-04 eta: 9:47:08 time: 0.402544 data_time: 0.030626 memory: 15677 loss_kpt: 0.018514 acc_pose: 0.733220 loss: 0.018514 2022/10/10 19:36:05 - mmengine - INFO - Epoch(train) [51][350/586] lr: 5.000000e-04 eta: 9:46:52 time: 0.397625 data_time: 0.029239 memory: 15677 loss_kpt: 0.018348 acc_pose: 0.690536 loss: 0.018348 2022/10/10 19:36:25 - mmengine - INFO - Epoch(train) [51][400/586] lr: 5.000000e-04 eta: 9:46:37 time: 0.399586 data_time: 0.024625 memory: 15677 loss_kpt: 0.018704 acc_pose: 0.719697 loss: 0.018704 2022/10/10 19:36:45 - mmengine - INFO - Epoch(train) [51][450/586] lr: 5.000000e-04 eta: 9:46:21 time: 0.394969 data_time: 0.027535 memory: 15677 loss_kpt: 0.018800 acc_pose: 0.597999 loss: 0.018800 2022/10/10 19:37:05 - mmengine - INFO - Epoch(train) [51][500/586] lr: 5.000000e-04 eta: 9:46:06 time: 0.403271 data_time: 0.030260 memory: 15677 loss_kpt: 0.018013 acc_pose: 0.697770 loss: 0.018013 2022/10/10 19:37:24 - mmengine - INFO - Epoch(train) [51][550/586] lr: 5.000000e-04 eta: 9:45:50 time: 0.394132 data_time: 0.026655 memory: 15677 loss_kpt: 0.017975 acc_pose: 0.762911 loss: 0.017975 2022/10/10 19:37:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:37:59 - mmengine - INFO - Epoch(train) [52][50/586] lr: 5.000000e-04 eta: 9:44:40 time: 0.405332 data_time: 0.033829 memory: 15677 loss_kpt: 0.018701 acc_pose: 0.663465 loss: 0.018701 2022/10/10 19:38:19 - mmengine - INFO - Epoch(train) [52][100/586] lr: 5.000000e-04 eta: 9:44:24 time: 0.396346 data_time: 0.026462 memory: 15677 loss_kpt: 0.018435 acc_pose: 0.648262 loss: 0.018435 2022/10/10 19:38:25 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:38:39 - mmengine - INFO - Epoch(train) [52][150/586] lr: 5.000000e-04 eta: 9:44:10 time: 0.406512 data_time: 0.032530 memory: 15677 loss_kpt: 0.018676 acc_pose: 0.642617 loss: 0.018676 2022/10/10 19:38:59 - mmengine - INFO - Epoch(train) [52][200/586] lr: 5.000000e-04 eta: 9:43:54 time: 0.396539 data_time: 0.025258 memory: 15677 loss_kpt: 0.018834 acc_pose: 0.664695 loss: 0.018834 2022/10/10 19:39:19 - mmengine - INFO - Epoch(train) [52][250/586] lr: 5.000000e-04 eta: 9:43:38 time: 0.398306 data_time: 0.026252 memory: 15677 loss_kpt: 0.018464 acc_pose: 0.654718 loss: 0.018464 2022/10/10 19:39:39 - mmengine - INFO - Epoch(train) [52][300/586] lr: 5.000000e-04 eta: 9:43:22 time: 0.395541 data_time: 0.024764 memory: 15677 loss_kpt: 0.018193 acc_pose: 0.746129 loss: 0.018193 2022/10/10 19:39:59 - mmengine - INFO - Epoch(train) [52][350/586] lr: 5.000000e-04 eta: 9:43:08 time: 0.407594 data_time: 0.032288 memory: 15677 loss_kpt: 0.018259 acc_pose: 0.740246 loss: 0.018259 2022/10/10 19:40:19 - mmengine - INFO - Epoch(train) [52][400/586] lr: 5.000000e-04 eta: 9:42:53 time: 0.399734 data_time: 0.025070 memory: 15677 loss_kpt: 0.018270 acc_pose: 0.706210 loss: 0.018270 2022/10/10 19:40:39 - mmengine - INFO - Epoch(train) [52][450/586] lr: 5.000000e-04 eta: 9:42:36 time: 0.392350 data_time: 0.024682 memory: 15677 loss_kpt: 0.018687 acc_pose: 0.604302 loss: 0.018687 2022/10/10 19:40:58 - mmengine - INFO - Epoch(train) [52][500/586] lr: 5.000000e-04 eta: 9:42:20 time: 0.395297 data_time: 0.025822 memory: 15677 loss_kpt: 0.018870 acc_pose: 0.763043 loss: 0.018870 2022/10/10 19:41:19 - mmengine - INFO - Epoch(train) [52][550/586] lr: 5.000000e-04 eta: 9:42:05 time: 0.403755 data_time: 0.024669 memory: 15677 loss_kpt: 0.018406 acc_pose: 0.553452 loss: 0.018406 2022/10/10 19:41:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:41:53 - mmengine - INFO - Epoch(train) [53][50/586] lr: 5.000000e-04 eta: 9:40:55 time: 0.400209 data_time: 0.033013 memory: 15677 loss_kpt: 0.018454 acc_pose: 0.640889 loss: 0.018454 2022/10/10 19:42:13 - mmengine - INFO - Epoch(train) [53][100/586] lr: 5.000000e-04 eta: 9:40:41 time: 0.403198 data_time: 0.024750 memory: 15677 loss_kpt: 0.018748 acc_pose: 0.622053 loss: 0.018748 2022/10/10 19:42:33 - mmengine - INFO - Epoch(train) [53][150/586] lr: 5.000000e-04 eta: 9:40:24 time: 0.390437 data_time: 0.025364 memory: 15677 loss_kpt: 0.017712 acc_pose: 0.622642 loss: 0.017712 2022/10/10 19:42:53 - mmengine - INFO - Epoch(train) [53][200/586] lr: 5.000000e-04 eta: 9:40:09 time: 0.401511 data_time: 0.025064 memory: 15677 loss_kpt: 0.018696 acc_pose: 0.637521 loss: 0.018696 2022/10/10 19:43:13 - mmengine - INFO - Epoch(train) [53][250/586] lr: 5.000000e-04 eta: 9:39:55 time: 0.408786 data_time: 0.030220 memory: 15677 loss_kpt: 0.018013 acc_pose: 0.640916 loss: 0.018013 2022/10/10 19:43:33 - mmengine - INFO - Epoch(train) [53][300/586] lr: 5.000000e-04 eta: 9:39:39 time: 0.395869 data_time: 0.024903 memory: 15677 loss_kpt: 0.018322 acc_pose: 0.720311 loss: 0.018322 2022/10/10 19:43:53 - mmengine - INFO - Epoch(train) [53][350/586] lr: 5.000000e-04 eta: 9:39:23 time: 0.398119 data_time: 0.025464 memory: 15677 loss_kpt: 0.018351 acc_pose: 0.603783 loss: 0.018351 2022/10/10 19:44:13 - mmengine - INFO - Epoch(train) [53][400/586] lr: 5.000000e-04 eta: 9:39:07 time: 0.395689 data_time: 0.024744 memory: 15677 loss_kpt: 0.018168 acc_pose: 0.725474 loss: 0.018168 2022/10/10 19:44:33 - mmengine - INFO - Epoch(train) [53][450/586] lr: 5.000000e-04 eta: 9:38:53 time: 0.406342 data_time: 0.024829 memory: 15677 loss_kpt: 0.018665 acc_pose: 0.666045 loss: 0.018665 2022/10/10 19:44:53 - mmengine - INFO - Epoch(train) [53][500/586] lr: 5.000000e-04 eta: 9:38:38 time: 0.402510 data_time: 0.027141 memory: 15677 loss_kpt: 0.018279 acc_pose: 0.657878 loss: 0.018279 2022/10/10 19:45:04 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:45:13 - mmengine - INFO - Epoch(train) [53][550/586] lr: 5.000000e-04 eta: 9:38:22 time: 0.399204 data_time: 0.024286 memory: 15677 loss_kpt: 0.017862 acc_pose: 0.710746 loss: 0.017862 2022/10/10 19:45:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:45:48 - mmengine - INFO - Epoch(train) [54][50/586] lr: 5.000000e-04 eta: 9:37:14 time: 0.409765 data_time: 0.032719 memory: 15677 loss_kpt: 0.018162 acc_pose: 0.741708 loss: 0.018162 2022/10/10 19:46:08 - mmengine - INFO - Epoch(train) [54][100/586] lr: 5.000000e-04 eta: 9:36:59 time: 0.403006 data_time: 0.029050 memory: 15677 loss_kpt: 0.018375 acc_pose: 0.671429 loss: 0.018375 2022/10/10 19:46:27 - mmengine - INFO - Epoch(train) [54][150/586] lr: 5.000000e-04 eta: 9:36:43 time: 0.395253 data_time: 0.026047 memory: 15677 loss_kpt: 0.018825 acc_pose: 0.699446 loss: 0.018825 2022/10/10 19:46:47 - mmengine - INFO - Epoch(train) [54][200/586] lr: 5.000000e-04 eta: 9:36:28 time: 0.399413 data_time: 0.026294 memory: 15677 loss_kpt: 0.018593 acc_pose: 0.662128 loss: 0.018593 2022/10/10 19:47:08 - mmengine - INFO - Epoch(train) [54][250/586] lr: 5.000000e-04 eta: 9:36:13 time: 0.404621 data_time: 0.026593 memory: 15677 loss_kpt: 0.018510 acc_pose: 0.678378 loss: 0.018510 2022/10/10 19:47:28 - mmengine - INFO - Epoch(train) [54][300/586] lr: 5.000000e-04 eta: 9:35:58 time: 0.402939 data_time: 0.030044 memory: 15677 loss_kpt: 0.018587 acc_pose: 0.658701 loss: 0.018587 2022/10/10 19:47:48 - mmengine - INFO - Epoch(train) [54][350/586] lr: 5.000000e-04 eta: 9:35:43 time: 0.401316 data_time: 0.025181 memory: 15677 loss_kpt: 0.018113 acc_pose: 0.673409 loss: 0.018113 2022/10/10 19:48:08 - mmengine - INFO - Epoch(train) [54][400/586] lr: 5.000000e-04 eta: 9:35:27 time: 0.396110 data_time: 0.028268 memory: 15677 loss_kpt: 0.018451 acc_pose: 0.613196 loss: 0.018451 2022/10/10 19:48:29 - mmengine - INFO - Epoch(train) [54][450/586] lr: 5.000000e-04 eta: 9:35:13 time: 0.415340 data_time: 0.038006 memory: 15677 loss_kpt: 0.018305 acc_pose: 0.757913 loss: 0.018305 2022/10/10 19:48:49 - mmengine - INFO - Epoch(train) [54][500/586] lr: 5.000000e-04 eta: 9:34:58 time: 0.401140 data_time: 0.025251 memory: 15677 loss_kpt: 0.018400 acc_pose: 0.656474 loss: 0.018400 2022/10/10 19:49:09 - mmengine - INFO - Epoch(train) [54][550/586] lr: 5.000000e-04 eta: 9:34:43 time: 0.404888 data_time: 0.023419 memory: 15677 loss_kpt: 0.018660 acc_pose: 0.653814 loss: 0.018660 2022/10/10 19:49:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:49:43 - mmengine - INFO - Epoch(train) [55][50/586] lr: 5.000000e-04 eta: 9:33:36 time: 0.406820 data_time: 0.031047 memory: 15677 loss_kpt: 0.018851 acc_pose: 0.619956 loss: 0.018851 2022/10/10 19:50:03 - mmengine - INFO - Epoch(train) [55][100/586] lr: 5.000000e-04 eta: 9:33:21 time: 0.400860 data_time: 0.025956 memory: 15677 loss_kpt: 0.017887 acc_pose: 0.693745 loss: 0.017887 2022/10/10 19:50:23 - mmengine - INFO - Epoch(train) [55][150/586] lr: 5.000000e-04 eta: 9:33:05 time: 0.397531 data_time: 0.024138 memory: 15677 loss_kpt: 0.018179 acc_pose: 0.703933 loss: 0.018179 2022/10/10 19:50:43 - mmengine - INFO - Epoch(train) [55][200/586] lr: 5.000000e-04 eta: 9:32:49 time: 0.398354 data_time: 0.025752 memory: 15677 loss_kpt: 0.018558 acc_pose: 0.722715 loss: 0.018558 2022/10/10 19:51:03 - mmengine - INFO - Epoch(train) [55][250/586] lr: 5.000000e-04 eta: 9:32:34 time: 0.403728 data_time: 0.023689 memory: 15677 loss_kpt: 0.018418 acc_pose: 0.670517 loss: 0.018418 2022/10/10 19:51:23 - mmengine - INFO - Epoch(train) [55][300/586] lr: 5.000000e-04 eta: 9:32:19 time: 0.402529 data_time: 0.022142 memory: 15677 loss_kpt: 0.018385 acc_pose: 0.705127 loss: 0.018385 2022/10/10 19:51:43 - mmengine - INFO - Epoch(train) [55][350/586] lr: 5.000000e-04 eta: 9:32:02 time: 0.392399 data_time: 0.025964 memory: 15677 loss_kpt: 0.018094 acc_pose: 0.647924 loss: 0.018094 2022/10/10 19:51:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:52:03 - mmengine - INFO - Epoch(train) [55][400/586] lr: 5.000000e-04 eta: 9:31:47 time: 0.403992 data_time: 0.023816 memory: 15677 loss_kpt: 0.018081 acc_pose: 0.696207 loss: 0.018081 2022/10/10 19:52:23 - mmengine - INFO - Epoch(train) [55][450/586] lr: 5.000000e-04 eta: 9:31:31 time: 0.396806 data_time: 0.025444 memory: 15677 loss_kpt: 0.017835 acc_pose: 0.705150 loss: 0.017835 2022/10/10 19:52:43 - mmengine - INFO - Epoch(train) [55][500/586] lr: 5.000000e-04 eta: 9:31:15 time: 0.397542 data_time: 0.024255 memory: 15677 loss_kpt: 0.018141 acc_pose: 0.656775 loss: 0.018141 2022/10/10 19:53:03 - mmengine - INFO - Epoch(train) [55][550/586] lr: 5.000000e-04 eta: 9:31:00 time: 0.403173 data_time: 0.028051 memory: 15677 loss_kpt: 0.018133 acc_pose: 0.700226 loss: 0.018133 2022/10/10 19:53:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:53:38 - mmengine - INFO - Epoch(train) [56][50/586] lr: 5.000000e-04 eta: 9:29:54 time: 0.407030 data_time: 0.031669 memory: 15677 loss_kpt: 0.017929 acc_pose: 0.674068 loss: 0.017929 2022/10/10 19:53:57 - mmengine - INFO - Epoch(train) [56][100/586] lr: 5.000000e-04 eta: 9:29:37 time: 0.392537 data_time: 0.028706 memory: 15677 loss_kpt: 0.017634 acc_pose: 0.691292 loss: 0.017634 2022/10/10 19:54:17 - mmengine - INFO - Epoch(train) [56][150/586] lr: 5.000000e-04 eta: 9:29:21 time: 0.394477 data_time: 0.026445 memory: 15677 loss_kpt: 0.018143 acc_pose: 0.673362 loss: 0.018143 2022/10/10 19:54:37 - mmengine - INFO - Epoch(train) [56][200/586] lr: 5.000000e-04 eta: 9:29:05 time: 0.402725 data_time: 0.029505 memory: 15677 loss_kpt: 0.018340 acc_pose: 0.648575 loss: 0.018340 2022/10/10 19:54:57 - mmengine - INFO - Epoch(train) [56][250/586] lr: 5.000000e-04 eta: 9:28:51 time: 0.406493 data_time: 0.024358 memory: 15677 loss_kpt: 0.017877 acc_pose: 0.627497 loss: 0.017877 2022/10/10 19:55:17 - mmengine - INFO - Epoch(train) [56][300/586] lr: 5.000000e-04 eta: 9:28:34 time: 0.393790 data_time: 0.024315 memory: 15677 loss_kpt: 0.018713 acc_pose: 0.671223 loss: 0.018713 2022/10/10 19:55:37 - mmengine - INFO - Epoch(train) [56][350/586] lr: 5.000000e-04 eta: 9:28:18 time: 0.396816 data_time: 0.024115 memory: 15677 loss_kpt: 0.018117 acc_pose: 0.649965 loss: 0.018117 2022/10/10 19:55:57 - mmengine - INFO - Epoch(train) [56][400/586] lr: 5.000000e-04 eta: 9:28:02 time: 0.397920 data_time: 0.024540 memory: 15677 loss_kpt: 0.018335 acc_pose: 0.674695 loss: 0.018335 2022/10/10 19:56:17 - mmengine - INFO - Epoch(train) [56][450/586] lr: 5.000000e-04 eta: 9:27:47 time: 0.403036 data_time: 0.030590 memory: 15677 loss_kpt: 0.017993 acc_pose: 0.727247 loss: 0.017993 2022/10/10 19:56:37 - mmengine - INFO - Epoch(train) [56][500/586] lr: 5.000000e-04 eta: 9:27:31 time: 0.400393 data_time: 0.024774 memory: 15677 loss_kpt: 0.018195 acc_pose: 0.598447 loss: 0.018195 2022/10/10 19:56:57 - mmengine - INFO - Epoch(train) [56][550/586] lr: 5.000000e-04 eta: 9:27:15 time: 0.396842 data_time: 0.026164 memory: 15677 loss_kpt: 0.018634 acc_pose: 0.596176 loss: 0.018634 2022/10/10 19:57:12 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:57:32 - mmengine - INFO - Epoch(train) [57][50/586] lr: 5.000000e-04 eta: 9:26:10 time: 0.405307 data_time: 0.034273 memory: 15677 loss_kpt: 0.018107 acc_pose: 0.710681 loss: 0.018107 2022/10/10 19:57:52 - mmengine - INFO - Epoch(train) [57][100/586] lr: 5.000000e-04 eta: 9:25:55 time: 0.406070 data_time: 0.032665 memory: 15677 loss_kpt: 0.017724 acc_pose: 0.754480 loss: 0.017724 2022/10/10 19:58:12 - mmengine - INFO - Epoch(train) [57][150/586] lr: 5.000000e-04 eta: 9:25:39 time: 0.398782 data_time: 0.025520 memory: 15677 loss_kpt: 0.018218 acc_pose: 0.676719 loss: 0.018218 2022/10/10 19:58:26 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 19:58:32 - mmengine - INFO - Epoch(train) [57][200/586] lr: 5.000000e-04 eta: 9:25:23 time: 0.399557 data_time: 0.025552 memory: 15677 loss_kpt: 0.018106 acc_pose: 0.739939 loss: 0.018106 2022/10/10 19:58:52 - mmengine - INFO - Epoch(train) [57][250/586] lr: 5.000000e-04 eta: 9:25:07 time: 0.396878 data_time: 0.026914 memory: 15677 loss_kpt: 0.018060 acc_pose: 0.713091 loss: 0.018060 2022/10/10 19:59:12 - mmengine - INFO - Epoch(train) [57][300/586] lr: 5.000000e-04 eta: 9:24:52 time: 0.403082 data_time: 0.026155 memory: 15677 loss_kpt: 0.018199 acc_pose: 0.631734 loss: 0.018199 2022/10/10 19:59:32 - mmengine - INFO - Epoch(train) [57][350/586] lr: 5.000000e-04 eta: 9:24:37 time: 0.402839 data_time: 0.025044 memory: 15677 loss_kpt: 0.018459 acc_pose: 0.670785 loss: 0.018459 2022/10/10 19:59:52 - mmengine - INFO - Epoch(train) [57][400/586] lr: 5.000000e-04 eta: 9:24:20 time: 0.393376 data_time: 0.023024 memory: 15677 loss_kpt: 0.018254 acc_pose: 0.760967 loss: 0.018254 2022/10/10 20:00:12 - mmengine - INFO - Epoch(train) [57][450/586] lr: 5.000000e-04 eta: 9:24:05 time: 0.403558 data_time: 0.023163 memory: 15677 loss_kpt: 0.018292 acc_pose: 0.690570 loss: 0.018292 2022/10/10 20:00:32 - mmengine - INFO - Epoch(train) [57][500/586] lr: 5.000000e-04 eta: 9:23:49 time: 0.401368 data_time: 0.027752 memory: 15677 loss_kpt: 0.018161 acc_pose: 0.621147 loss: 0.018161 2022/10/10 20:00:52 - mmengine - INFO - Epoch(train) [57][550/586] lr: 5.000000e-04 eta: 9:23:33 time: 0.400397 data_time: 0.027241 memory: 15677 loss_kpt: 0.018908 acc_pose: 0.684788 loss: 0.018908 2022/10/10 20:01:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:01:26 - mmengine - INFO - Epoch(train) [58][50/586] lr: 5.000000e-04 eta: 9:22:29 time: 0.405981 data_time: 0.031875 memory: 15677 loss_kpt: 0.018264 acc_pose: 0.692246 loss: 0.018264 2022/10/10 20:01:46 - mmengine - INFO - Epoch(train) [58][100/586] lr: 5.000000e-04 eta: 9:22:12 time: 0.397191 data_time: 0.023587 memory: 15677 loss_kpt: 0.018168 acc_pose: 0.602692 loss: 0.018168 2022/10/10 20:02:07 - mmengine - INFO - Epoch(train) [58][150/586] lr: 5.000000e-04 eta: 9:21:58 time: 0.407312 data_time: 0.026962 memory: 15677 loss_kpt: 0.017891 acc_pose: 0.695710 loss: 0.017891 2022/10/10 20:02:27 - mmengine - INFO - Epoch(train) [58][200/586] lr: 5.000000e-04 eta: 9:21:42 time: 0.399287 data_time: 0.028003 memory: 15677 loss_kpt: 0.018319 acc_pose: 0.726461 loss: 0.018319 2022/10/10 20:02:46 - mmengine - INFO - Epoch(train) [58][250/586] lr: 5.000000e-04 eta: 9:21:25 time: 0.394843 data_time: 0.026484 memory: 15677 loss_kpt: 0.018207 acc_pose: 0.609599 loss: 0.018207 2022/10/10 20:03:06 - mmengine - INFO - Epoch(train) [58][300/586] lr: 5.000000e-04 eta: 9:21:09 time: 0.397401 data_time: 0.024440 memory: 15677 loss_kpt: 0.017665 acc_pose: 0.630742 loss: 0.017665 2022/10/10 20:03:26 - mmengine - INFO - Epoch(train) [58][350/586] lr: 5.000000e-04 eta: 9:20:54 time: 0.403109 data_time: 0.028636 memory: 15677 loss_kpt: 0.018098 acc_pose: 0.707029 loss: 0.018098 2022/10/10 20:03:46 - mmengine - INFO - Epoch(train) [58][400/586] lr: 5.000000e-04 eta: 9:20:38 time: 0.399005 data_time: 0.023896 memory: 15677 loss_kpt: 0.017896 acc_pose: 0.708210 loss: 0.017896 2022/10/10 20:04:06 - mmengine - INFO - Epoch(train) [58][450/586] lr: 5.000000e-04 eta: 9:20:22 time: 0.395652 data_time: 0.025151 memory: 15677 loss_kpt: 0.018421 acc_pose: 0.636334 loss: 0.018421 2022/10/10 20:04:26 - mmengine - INFO - Epoch(train) [58][500/586] lr: 5.000000e-04 eta: 9:20:06 time: 0.398170 data_time: 0.030126 memory: 15677 loss_kpt: 0.017805 acc_pose: 0.569974 loss: 0.017805 2022/10/10 20:04:46 - mmengine - INFO - Epoch(train) [58][550/586] lr: 5.000000e-04 eta: 9:19:50 time: 0.404282 data_time: 0.027664 memory: 15677 loss_kpt: 0.018111 acc_pose: 0.730618 loss: 0.018111 2022/10/10 20:05:00 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:05:05 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:05:21 - mmengine - INFO - Epoch(train) [59][50/586] lr: 5.000000e-04 eta: 9:18:47 time: 0.411139 data_time: 0.034230 memory: 15677 loss_kpt: 0.018708 acc_pose: 0.682647 loss: 0.018708 2022/10/10 20:05:40 - mmengine - INFO - Epoch(train) [59][100/586] lr: 5.000000e-04 eta: 9:18:31 time: 0.394909 data_time: 0.024792 memory: 15677 loss_kpt: 0.018122 acc_pose: 0.609727 loss: 0.018122 2022/10/10 20:06:00 - mmengine - INFO - Epoch(train) [59][150/586] lr: 5.000000e-04 eta: 9:18:15 time: 0.399417 data_time: 0.024036 memory: 15677 loss_kpt: 0.018573 acc_pose: 0.626857 loss: 0.018573 2022/10/10 20:06:20 - mmengine - INFO - Epoch(train) [59][200/586] lr: 5.000000e-04 eta: 9:17:59 time: 0.402300 data_time: 0.028605 memory: 15677 loss_kpt: 0.018173 acc_pose: 0.735307 loss: 0.018173 2022/10/10 20:06:40 - mmengine - INFO - Epoch(train) [59][250/586] lr: 5.000000e-04 eta: 9:17:43 time: 0.398626 data_time: 0.025229 memory: 15677 loss_kpt: 0.017769 acc_pose: 0.672904 loss: 0.017769 2022/10/10 20:07:00 - mmengine - INFO - Epoch(train) [59][300/586] lr: 5.000000e-04 eta: 9:17:27 time: 0.398363 data_time: 0.024634 memory: 15677 loss_kpt: 0.018245 acc_pose: 0.615507 loss: 0.018245 2022/10/10 20:07:20 - mmengine - INFO - Epoch(train) [59][350/586] lr: 5.000000e-04 eta: 9:17:11 time: 0.401118 data_time: 0.028535 memory: 15677 loss_kpt: 0.018539 acc_pose: 0.623223 loss: 0.018539 2022/10/10 20:07:41 - mmengine - INFO - Epoch(train) [59][400/586] lr: 5.000000e-04 eta: 9:16:57 time: 0.409969 data_time: 0.025355 memory: 15677 loss_kpt: 0.018230 acc_pose: 0.645063 loss: 0.018230 2022/10/10 20:08:01 - mmengine - INFO - Epoch(train) [59][450/586] lr: 5.000000e-04 eta: 9:16:40 time: 0.394886 data_time: 0.026216 memory: 15677 loss_kpt: 0.018489 acc_pose: 0.650130 loss: 0.018489 2022/10/10 20:08:21 - mmengine - INFO - Epoch(train) [59][500/586] lr: 5.000000e-04 eta: 9:16:24 time: 0.399812 data_time: 0.025153 memory: 15677 loss_kpt: 0.017943 acc_pose: 0.722713 loss: 0.017943 2022/10/10 20:08:41 - mmengine - INFO - Epoch(train) [59][550/586] lr: 5.000000e-04 eta: 9:16:09 time: 0.400662 data_time: 0.028843 memory: 15677 loss_kpt: 0.018120 acc_pose: 0.625173 loss: 0.018120 2022/10/10 20:08:55 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:09:15 - mmengine - INFO - Epoch(train) [60][50/586] lr: 5.000000e-04 eta: 9:15:06 time: 0.408311 data_time: 0.031938 memory: 15677 loss_kpt: 0.018678 acc_pose: 0.637055 loss: 0.018678 2022/10/10 20:09:35 - mmengine - INFO - Epoch(train) [60][100/586] lr: 5.000000e-04 eta: 9:14:50 time: 0.401361 data_time: 0.023861 memory: 15677 loss_kpt: 0.018181 acc_pose: 0.655401 loss: 0.018181 2022/10/10 20:09:55 - mmengine - INFO - Epoch(train) [60][150/586] lr: 5.000000e-04 eta: 9:14:34 time: 0.400286 data_time: 0.024040 memory: 15677 loss_kpt: 0.017904 acc_pose: 0.695163 loss: 0.017904 2022/10/10 20:10:15 - mmengine - INFO - Epoch(train) [60][200/586] lr: 5.000000e-04 eta: 9:14:18 time: 0.398105 data_time: 0.029840 memory: 15677 loss_kpt: 0.017981 acc_pose: 0.666525 loss: 0.017981 2022/10/10 20:10:35 - mmengine - INFO - Epoch(train) [60][250/586] lr: 5.000000e-04 eta: 9:14:01 time: 0.395144 data_time: 0.024789 memory: 15677 loss_kpt: 0.018028 acc_pose: 0.624842 loss: 0.018028 2022/10/10 20:10:55 - mmengine - INFO - Epoch(train) [60][300/586] lr: 5.000000e-04 eta: 9:13:46 time: 0.401566 data_time: 0.024524 memory: 15677 loss_kpt: 0.017707 acc_pose: 0.689212 loss: 0.017707 2022/10/10 20:11:15 - mmengine - INFO - Epoch(train) [60][350/586] lr: 5.000000e-04 eta: 9:13:30 time: 0.403925 data_time: 0.024426 memory: 15677 loss_kpt: 0.018179 acc_pose: 0.645852 loss: 0.018179 2022/10/10 20:11:35 - mmengine - INFO - Epoch(train) [60][400/586] lr: 5.000000e-04 eta: 9:13:14 time: 0.400062 data_time: 0.028428 memory: 15677 loss_kpt: 0.018247 acc_pose: 0.631219 loss: 0.018247 2022/10/10 20:11:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:11:55 - mmengine - INFO - Epoch(train) [60][450/586] lr: 5.000000e-04 eta: 9:12:58 time: 0.397714 data_time: 0.025491 memory: 15677 loss_kpt: 0.019016 acc_pose: 0.602078 loss: 0.019016 2022/10/10 20:12:15 - mmengine - INFO - Epoch(train) [60][500/586] lr: 5.000000e-04 eta: 9:12:42 time: 0.400154 data_time: 0.024761 memory: 15677 loss_kpt: 0.018068 acc_pose: 0.624247 loss: 0.018068 2022/10/10 20:12:35 - mmengine - INFO - Epoch(train) [60][550/586] lr: 5.000000e-04 eta: 9:12:27 time: 0.402045 data_time: 0.025057 memory: 15677 loss_kpt: 0.018205 acc_pose: 0.679725 loss: 0.018205 2022/10/10 20:12:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:12:49 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/10/10 20:13:02 - mmengine - INFO - Epoch(val) [60][50/407] eta: 0:01:09 time: 0.195162 data_time: 0.013416 memory: 15677 2022/10/10 20:13:11 - mmengine - INFO - Epoch(val) [60][100/407] eta: 0:00:58 time: 0.189751 data_time: 0.008842 memory: 4213 2022/10/10 20:13:21 - mmengine - INFO - Epoch(val) [60][150/407] eta: 0:00:48 time: 0.190403 data_time: 0.009416 memory: 4213 2022/10/10 20:13:30 - mmengine - INFO - Epoch(val) [60][200/407] eta: 0:00:39 time: 0.189346 data_time: 0.008732 memory: 4213 2022/10/10 20:13:40 - mmengine - INFO - Epoch(val) [60][250/407] eta: 0:00:29 time: 0.189567 data_time: 0.008641 memory: 4213 2022/10/10 20:13:49 - mmengine - INFO - Epoch(val) [60][300/407] eta: 0:00:20 time: 0.190559 data_time: 0.008915 memory: 4213 2022/10/10 20:13:59 - mmengine - INFO - Epoch(val) [60][350/407] eta: 0:00:11 time: 0.194466 data_time: 0.012655 memory: 4213 2022/10/10 20:14:09 - mmengine - INFO - Epoch(val) [60][400/407] eta: 0:00:01 time: 0.189463 data_time: 0.009095 memory: 4213 2022/10/10 20:14:41 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 20:14:54 - mmengine - INFO - Epoch(val) [60][407/407] coco/AP: 0.600629 coco/AP .5: 0.839628 coco/AP .75: 0.671188 coco/AP (M): 0.572313 coco/AP (L): 0.659527 coco/AR: 0.658879 coco/AR .5: 0.884131 coco/AR .75: 0.723552 coco/AR (M): 0.620623 coco/AR (L): 0.713564 2022/10/10 20:14:54 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_50.pth is removed 2022/10/10 20:14:55 - mmengine - INFO - The best checkpoint with 0.6006 coco/AP at 60 epoch is saved to best_coco/AP_epoch_60.pth. 2022/10/10 20:15:16 - mmengine - INFO - Epoch(train) [61][50/586] lr: 5.000000e-04 eta: 9:11:24 time: 0.406999 data_time: 0.036641 memory: 15677 loss_kpt: 0.018195 acc_pose: 0.700419 loss: 0.018195 2022/10/10 20:15:36 - mmengine - INFO - Epoch(train) [61][100/586] lr: 5.000000e-04 eta: 9:11:08 time: 0.399055 data_time: 0.026407 memory: 15677 loss_kpt: 0.018152 acc_pose: 0.598711 loss: 0.018152 2022/10/10 20:15:56 - mmengine - INFO - Epoch(train) [61][150/586] lr: 5.000000e-04 eta: 9:10:52 time: 0.398227 data_time: 0.024679 memory: 15677 loss_kpt: 0.018521 acc_pose: 0.647070 loss: 0.018521 2022/10/10 20:16:16 - mmengine - INFO - Epoch(train) [61][200/586] lr: 5.000000e-04 eta: 9:10:36 time: 0.399061 data_time: 0.027140 memory: 15677 loss_kpt: 0.017901 acc_pose: 0.719159 loss: 0.017901 2022/10/10 20:16:36 - mmengine - INFO - Epoch(train) [61][250/586] lr: 5.000000e-04 eta: 9:10:20 time: 0.400743 data_time: 0.032427 memory: 15677 loss_kpt: 0.017866 acc_pose: 0.691023 loss: 0.017866 2022/10/10 20:16:56 - mmengine - INFO - Epoch(train) [61][300/586] lr: 5.000000e-04 eta: 9:10:04 time: 0.402602 data_time: 0.026472 memory: 15677 loss_kpt: 0.017668 acc_pose: 0.700377 loss: 0.017668 2022/10/10 20:17:16 - mmengine - INFO - Epoch(train) [61][350/586] lr: 5.000000e-04 eta: 9:09:48 time: 0.398098 data_time: 0.026568 memory: 15677 loss_kpt: 0.017771 acc_pose: 0.653727 loss: 0.017771 2022/10/10 20:17:36 - mmengine - INFO - Epoch(train) [61][400/586] lr: 5.000000e-04 eta: 9:09:33 time: 0.408074 data_time: 0.025005 memory: 15677 loss_kpt: 0.018059 acc_pose: 0.594317 loss: 0.018059 2022/10/10 20:17:56 - mmengine - INFO - Epoch(train) [61][450/586] lr: 5.000000e-04 eta: 9:09:16 time: 0.393440 data_time: 0.024449 memory: 15677 loss_kpt: 0.017660 acc_pose: 0.648618 loss: 0.017660 2022/10/10 20:18:16 - mmengine - INFO - Epoch(train) [61][500/586] lr: 5.000000e-04 eta: 9:09:01 time: 0.403926 data_time: 0.024613 memory: 15677 loss_kpt: 0.018265 acc_pose: 0.709013 loss: 0.018265 2022/10/10 20:18:36 - mmengine - INFO - Epoch(train) [61][550/586] lr: 5.000000e-04 eta: 9:08:44 time: 0.395920 data_time: 0.026881 memory: 15677 loss_kpt: 0.018179 acc_pose: 0.685111 loss: 0.018179 2022/10/10 20:18:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:19:10 - mmengine - INFO - Epoch(train) [62][50/586] lr: 5.000000e-04 eta: 9:07:42 time: 0.407261 data_time: 0.032774 memory: 15677 loss_kpt: 0.018257 acc_pose: 0.712824 loss: 0.018257 2022/10/10 20:19:30 - mmengine - INFO - Epoch(train) [62][100/586] lr: 5.000000e-04 eta: 9:07:26 time: 0.396558 data_time: 0.024337 memory: 15677 loss_kpt: 0.017811 acc_pose: 0.686225 loss: 0.017811 2022/10/10 20:19:50 - mmengine - INFO - Epoch(train) [62][150/586] lr: 5.000000e-04 eta: 9:07:10 time: 0.402870 data_time: 0.030833 memory: 15677 loss_kpt: 0.017996 acc_pose: 0.745404 loss: 0.017996 2022/10/10 20:20:10 - mmengine - INFO - Epoch(train) [62][200/586] lr: 5.000000e-04 eta: 9:06:54 time: 0.396369 data_time: 0.025879 memory: 15677 loss_kpt: 0.018145 acc_pose: 0.712385 loss: 0.018145 2022/10/10 20:20:30 - mmengine - INFO - Epoch(train) [62][250/586] lr: 5.000000e-04 eta: 9:06:38 time: 0.402740 data_time: 0.026466 memory: 15677 loss_kpt: 0.017642 acc_pose: 0.704525 loss: 0.017642 2022/10/10 20:20:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:20:50 - mmengine - INFO - Epoch(train) [62][300/586] lr: 5.000000e-04 eta: 9:06:22 time: 0.396713 data_time: 0.027455 memory: 15677 loss_kpt: 0.018150 acc_pose: 0.645984 loss: 0.018150 2022/10/10 20:21:10 - mmengine - INFO - Epoch(train) [62][350/586] lr: 5.000000e-04 eta: 9:06:06 time: 0.399340 data_time: 0.024359 memory: 15677 loss_kpt: 0.017776 acc_pose: 0.565337 loss: 0.017776 2022/10/10 20:21:30 - mmengine - INFO - Epoch(train) [62][400/586] lr: 5.000000e-04 eta: 9:05:50 time: 0.400554 data_time: 0.026625 memory: 15677 loss_kpt: 0.018713 acc_pose: 0.683240 loss: 0.018713 2022/10/10 20:21:50 - mmengine - INFO - Epoch(train) [62][450/586] lr: 5.000000e-04 eta: 9:05:34 time: 0.402090 data_time: 0.030289 memory: 15677 loss_kpt: 0.017801 acc_pose: 0.693802 loss: 0.017801 2022/10/10 20:22:10 - mmengine - INFO - Epoch(train) [62][500/586] lr: 5.000000e-04 eta: 9:05:18 time: 0.397515 data_time: 0.024327 memory: 15677 loss_kpt: 0.018094 acc_pose: 0.660549 loss: 0.018094 2022/10/10 20:22:30 - mmengine - INFO - Epoch(train) [62][550/586] lr: 5.000000e-04 eta: 9:05:01 time: 0.395934 data_time: 0.024588 memory: 15677 loss_kpt: 0.017624 acc_pose: 0.685086 loss: 0.017624 2022/10/10 20:22:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:23:06 - mmengine - INFO - Epoch(train) [63][50/586] lr: 5.000000e-04 eta: 9:04:02 time: 0.423635 data_time: 0.042291 memory: 15677 loss_kpt: 0.018368 acc_pose: 0.622068 loss: 0.018368 2022/10/10 20:23:25 - mmengine - INFO - Epoch(train) [63][100/586] lr: 5.000000e-04 eta: 9:03:45 time: 0.395547 data_time: 0.024807 memory: 15677 loss_kpt: 0.018064 acc_pose: 0.679346 loss: 0.018064 2022/10/10 20:23:46 - mmengine - INFO - Epoch(train) [63][150/586] lr: 5.000000e-04 eta: 9:03:30 time: 0.403665 data_time: 0.027446 memory: 15677 loss_kpt: 0.017616 acc_pose: 0.688528 loss: 0.017616 2022/10/10 20:24:06 - mmengine - INFO - Epoch(train) [63][200/586] lr: 5.000000e-04 eta: 9:03:14 time: 0.403778 data_time: 0.030617 memory: 15677 loss_kpt: 0.018226 acc_pose: 0.752703 loss: 0.018226 2022/10/10 20:24:26 - mmengine - INFO - Epoch(train) [63][250/586] lr: 5.000000e-04 eta: 9:02:58 time: 0.396554 data_time: 0.026480 memory: 15677 loss_kpt: 0.018051 acc_pose: 0.677823 loss: 0.018051 2022/10/10 20:24:46 - mmengine - INFO - Epoch(train) [63][300/586] lr: 5.000000e-04 eta: 9:02:42 time: 0.400867 data_time: 0.025817 memory: 15677 loss_kpt: 0.018114 acc_pose: 0.711513 loss: 0.018114 2022/10/10 20:25:06 - mmengine - INFO - Epoch(train) [63][350/586] lr: 5.000000e-04 eta: 9:02:25 time: 0.398734 data_time: 0.025270 memory: 15677 loss_kpt: 0.017760 acc_pose: 0.691298 loss: 0.017760 2022/10/10 20:25:26 - mmengine - INFO - Epoch(train) [63][400/586] lr: 5.000000e-04 eta: 9:02:09 time: 0.397373 data_time: 0.024543 memory: 15677 loss_kpt: 0.018178 acc_pose: 0.581323 loss: 0.018178 2022/10/10 20:25:46 - mmengine - INFO - Epoch(train) [63][450/586] lr: 5.000000e-04 eta: 9:01:53 time: 0.402787 data_time: 0.026821 memory: 15677 loss_kpt: 0.018196 acc_pose: 0.697349 loss: 0.018196 2022/10/10 20:26:06 - mmengine - INFO - Epoch(train) [63][500/586] lr: 5.000000e-04 eta: 9:01:37 time: 0.399150 data_time: 0.025994 memory: 15677 loss_kpt: 0.017736 acc_pose: 0.533638 loss: 0.017736 2022/10/10 20:26:25 - mmengine - INFO - Epoch(train) [63][550/586] lr: 5.000000e-04 eta: 9:01:20 time: 0.395333 data_time: 0.025037 memory: 15677 loss_kpt: 0.017692 acc_pose: 0.613402 loss: 0.017692 2022/10/10 20:26:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:27:00 - mmengine - INFO - Epoch(train) [64][50/586] lr: 5.000000e-04 eta: 9:00:20 time: 0.413451 data_time: 0.032080 memory: 15677 loss_kpt: 0.017723 acc_pose: 0.732589 loss: 0.017723 2022/10/10 20:27:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:27:21 - mmengine - INFO - Epoch(train) [64][100/586] lr: 5.000000e-04 eta: 9:00:05 time: 0.407468 data_time: 0.025765 memory: 15677 loss_kpt: 0.018079 acc_pose: 0.699909 loss: 0.018079 2022/10/10 20:27:40 - mmengine - INFO - Epoch(train) [64][150/586] lr: 5.000000e-04 eta: 8:59:49 time: 0.397140 data_time: 0.025197 memory: 15677 loss_kpt: 0.017945 acc_pose: 0.752675 loss: 0.017945 2022/10/10 20:28:00 - mmengine - INFO - Epoch(train) [64][200/586] lr: 5.000000e-04 eta: 8:59:32 time: 0.397421 data_time: 0.025435 memory: 15677 loss_kpt: 0.017989 acc_pose: 0.619521 loss: 0.017989 2022/10/10 20:28:20 - mmengine - INFO - Epoch(train) [64][250/586] lr: 5.000000e-04 eta: 8:59:17 time: 0.404743 data_time: 0.027425 memory: 15677 loss_kpt: 0.018325 acc_pose: 0.619724 loss: 0.018325 2022/10/10 20:28:41 - mmengine - INFO - Epoch(train) [64][300/586] lr: 5.000000e-04 eta: 8:59:01 time: 0.405187 data_time: 0.026766 memory: 15677 loss_kpt: 0.018377 acc_pose: 0.705851 loss: 0.018377 2022/10/10 20:29:01 - mmengine - INFO - Epoch(train) [64][350/586] lr: 5.000000e-04 eta: 8:58:45 time: 0.396654 data_time: 0.026599 memory: 15677 loss_kpt: 0.017669 acc_pose: 0.626141 loss: 0.017669 2022/10/10 20:29:21 - mmengine - INFO - Epoch(train) [64][400/586] lr: 5.000000e-04 eta: 8:58:28 time: 0.398005 data_time: 0.025996 memory: 15677 loss_kpt: 0.017574 acc_pose: 0.689334 loss: 0.017574 2022/10/10 20:29:40 - mmengine - INFO - Epoch(train) [64][450/586] lr: 5.000000e-04 eta: 8:58:11 time: 0.395116 data_time: 0.024110 memory: 15677 loss_kpt: 0.017592 acc_pose: 0.653163 loss: 0.017592 2022/10/10 20:30:00 - mmengine - INFO - Epoch(train) [64][500/586] lr: 5.000000e-04 eta: 8:57:56 time: 0.404040 data_time: 0.024225 memory: 15677 loss_kpt: 0.018042 acc_pose: 0.653845 loss: 0.018042 2022/10/10 20:30:21 - mmengine - INFO - Epoch(train) [64][550/586] lr: 5.000000e-04 eta: 8:57:40 time: 0.406588 data_time: 0.027048 memory: 15677 loss_kpt: 0.018033 acc_pose: 0.688374 loss: 0.018033 2022/10/10 20:30:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:30:55 - mmengine - INFO - Epoch(train) [65][50/586] lr: 5.000000e-04 eta: 8:56:40 time: 0.407136 data_time: 0.032520 memory: 15677 loss_kpt: 0.017513 acc_pose: 0.625677 loss: 0.017513 2022/10/10 20:31:15 - mmengine - INFO - Epoch(train) [65][100/586] lr: 5.000000e-04 eta: 8:56:24 time: 0.401923 data_time: 0.024590 memory: 15677 loss_kpt: 0.017800 acc_pose: 0.681184 loss: 0.017800 2022/10/10 20:31:36 - mmengine - INFO - Epoch(train) [65][150/586] lr: 5.000000e-04 eta: 8:56:09 time: 0.409460 data_time: 0.032487 memory: 15677 loss_kpt: 0.017883 acc_pose: 0.559881 loss: 0.017883 2022/10/10 20:31:56 - mmengine - INFO - Epoch(train) [65][200/586] lr: 5.000000e-04 eta: 8:55:53 time: 0.396964 data_time: 0.026582 memory: 15677 loss_kpt: 0.018019 acc_pose: 0.645541 loss: 0.018019 2022/10/10 20:32:16 - mmengine - INFO - Epoch(train) [65][250/586] lr: 5.000000e-04 eta: 8:55:37 time: 0.399552 data_time: 0.027101 memory: 15677 loss_kpt: 0.018305 acc_pose: 0.699462 loss: 0.018305 2022/10/10 20:32:35 - mmengine - INFO - Epoch(train) [65][300/586] lr: 5.000000e-04 eta: 8:55:20 time: 0.395881 data_time: 0.028341 memory: 15677 loss_kpt: 0.018307 acc_pose: 0.703488 loss: 0.018307 2022/10/10 20:32:55 - mmengine - INFO - Epoch(train) [65][350/586] lr: 5.000000e-04 eta: 8:55:03 time: 0.395121 data_time: 0.024408 memory: 15677 loss_kpt: 0.017414 acc_pose: 0.630851 loss: 0.017414 2022/10/10 20:33:16 - mmengine - INFO - Epoch(train) [65][400/586] lr: 5.000000e-04 eta: 8:54:48 time: 0.406050 data_time: 0.025140 memory: 15677 loss_kpt: 0.017823 acc_pose: 0.726195 loss: 0.017823 2022/10/10 20:33:35 - mmengine - INFO - Epoch(train) [65][450/586] lr: 5.000000e-04 eta: 8:54:31 time: 0.394301 data_time: 0.025265 memory: 15677 loss_kpt: 0.018269 acc_pose: 0.727794 loss: 0.018269 2022/10/10 20:33:54 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:33:55 - mmengine - INFO - Epoch(train) [65][500/586] lr: 5.000000e-04 eta: 8:54:15 time: 0.402617 data_time: 0.026146 memory: 15677 loss_kpt: 0.017630 acc_pose: 0.661557 loss: 0.017630 2022/10/10 20:34:15 - mmengine - INFO - Epoch(train) [65][550/586] lr: 5.000000e-04 eta: 8:53:58 time: 0.397999 data_time: 0.033861 memory: 15677 loss_kpt: 0.018214 acc_pose: 0.675680 loss: 0.018214 2022/10/10 20:34:30 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:34:50 - mmengine - INFO - Epoch(train) [66][50/586] lr: 5.000000e-04 eta: 8:52:59 time: 0.405536 data_time: 0.030707 memory: 15677 loss_kpt: 0.017424 acc_pose: 0.719203 loss: 0.017424 2022/10/10 20:35:10 - mmengine - INFO - Epoch(train) [66][100/586] lr: 5.000000e-04 eta: 8:52:42 time: 0.397838 data_time: 0.024750 memory: 15677 loss_kpt: 0.017730 acc_pose: 0.738100 loss: 0.017730 2022/10/10 20:35:30 - mmengine - INFO - Epoch(train) [66][150/586] lr: 5.000000e-04 eta: 8:52:26 time: 0.401117 data_time: 0.025851 memory: 15677 loss_kpt: 0.017860 acc_pose: 0.746838 loss: 0.017860 2022/10/10 20:35:50 - mmengine - INFO - Epoch(train) [66][200/586] lr: 5.000000e-04 eta: 8:52:10 time: 0.399208 data_time: 0.029233 memory: 15677 loss_kpt: 0.018272 acc_pose: 0.597880 loss: 0.018272 2022/10/10 20:36:10 - mmengine - INFO - Epoch(train) [66][250/586] lr: 5.000000e-04 eta: 8:51:54 time: 0.406226 data_time: 0.030386 memory: 15677 loss_kpt: 0.017947 acc_pose: 0.668262 loss: 0.017947 2022/10/10 20:36:30 - mmengine - INFO - Epoch(train) [66][300/586] lr: 5.000000e-04 eta: 8:51:38 time: 0.395395 data_time: 0.026705 memory: 15677 loss_kpt: 0.018040 acc_pose: 0.622983 loss: 0.018040 2022/10/10 20:36:50 - mmengine - INFO - Epoch(train) [66][350/586] lr: 5.000000e-04 eta: 8:51:21 time: 0.399856 data_time: 0.027133 memory: 15677 loss_kpt: 0.017946 acc_pose: 0.740086 loss: 0.017946 2022/10/10 20:37:10 - mmengine - INFO - Epoch(train) [66][400/586] lr: 5.000000e-04 eta: 8:51:05 time: 0.399955 data_time: 0.030598 memory: 15677 loss_kpt: 0.017783 acc_pose: 0.545189 loss: 0.017783 2022/10/10 20:37:30 - mmengine - INFO - Epoch(train) [66][450/586] lr: 5.000000e-04 eta: 8:50:49 time: 0.398532 data_time: 0.026862 memory: 15677 loss_kpt: 0.018027 acc_pose: 0.761028 loss: 0.018027 2022/10/10 20:37:50 - mmengine - INFO - Epoch(train) [66][500/586] lr: 5.000000e-04 eta: 8:50:32 time: 0.399751 data_time: 0.024793 memory: 15677 loss_kpt: 0.017855 acc_pose: 0.574471 loss: 0.017855 2022/10/10 20:38:10 - mmengine - INFO - Epoch(train) [66][550/586] lr: 5.000000e-04 eta: 8:50:16 time: 0.400537 data_time: 0.029949 memory: 15677 loss_kpt: 0.018073 acc_pose: 0.700792 loss: 0.018073 2022/10/10 20:38:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:38:45 - mmengine - INFO - Epoch(train) [67][50/586] lr: 5.000000e-04 eta: 8:49:18 time: 0.416394 data_time: 0.044069 memory: 15677 loss_kpt: 0.018123 acc_pose: 0.711104 loss: 0.018123 2022/10/10 20:39:05 - mmengine - INFO - Epoch(train) [67][100/586] lr: 5.000000e-04 eta: 8:49:03 time: 0.409162 data_time: 0.035775 memory: 15677 loss_kpt: 0.017982 acc_pose: 0.683850 loss: 0.017982 2022/10/10 20:39:25 - mmengine - INFO - Epoch(train) [67][150/586] lr: 5.000000e-04 eta: 8:48:46 time: 0.396107 data_time: 0.025323 memory: 15677 loss_kpt: 0.017833 acc_pose: 0.687611 loss: 0.017833 2022/10/10 20:39:46 - mmengine - INFO - Epoch(train) [67][200/586] lr: 5.000000e-04 eta: 8:48:31 time: 0.405694 data_time: 0.027932 memory: 15677 loss_kpt: 0.018277 acc_pose: 0.612582 loss: 0.018277 2022/10/10 20:40:06 - mmengine - INFO - Epoch(train) [67][250/586] lr: 5.000000e-04 eta: 8:48:15 time: 0.403408 data_time: 0.028096 memory: 15677 loss_kpt: 0.017734 acc_pose: 0.682072 loss: 0.017734 2022/10/10 20:40:26 - mmengine - INFO - Epoch(train) [67][300/586] lr: 5.000000e-04 eta: 8:47:58 time: 0.396970 data_time: 0.024188 memory: 15677 loss_kpt: 0.017421 acc_pose: 0.626632 loss: 0.017421 2022/10/10 20:40:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:40:45 - mmengine - INFO - Epoch(train) [67][350/586] lr: 5.000000e-04 eta: 8:47:41 time: 0.396181 data_time: 0.024151 memory: 15677 loss_kpt: 0.017677 acc_pose: 0.704480 loss: 0.017677 2022/10/10 20:41:05 - mmengine - INFO - Epoch(train) [67][400/586] lr: 5.000000e-04 eta: 8:47:25 time: 0.398844 data_time: 0.024058 memory: 15677 loss_kpt: 0.018156 acc_pose: 0.683388 loss: 0.018156 2022/10/10 20:41:25 - mmengine - INFO - Epoch(train) [67][450/586] lr: 5.000000e-04 eta: 8:47:08 time: 0.398024 data_time: 0.029350 memory: 15677 loss_kpt: 0.017931 acc_pose: 0.734106 loss: 0.017931 2022/10/10 20:41:45 - mmengine - INFO - Epoch(train) [67][500/586] lr: 5.000000e-04 eta: 8:46:52 time: 0.404630 data_time: 0.029342 memory: 15677 loss_kpt: 0.017504 acc_pose: 0.698898 loss: 0.017504 2022/10/10 20:42:05 - mmengine - INFO - Epoch(train) [67][550/586] lr: 5.000000e-04 eta: 8:46:35 time: 0.394443 data_time: 0.025562 memory: 15677 loss_kpt: 0.017970 acc_pose: 0.682453 loss: 0.017970 2022/10/10 20:42:19 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:42:40 - mmengine - INFO - Epoch(train) [68][50/586] lr: 5.000000e-04 eta: 8:45:38 time: 0.416386 data_time: 0.032623 memory: 15677 loss_kpt: 0.017636 acc_pose: 0.707446 loss: 0.017636 2022/10/10 20:43:00 - mmengine - INFO - Epoch(train) [68][100/586] lr: 5.000000e-04 eta: 8:45:22 time: 0.398943 data_time: 0.029024 memory: 15677 loss_kpt: 0.017862 acc_pose: 0.680957 loss: 0.017862 2022/10/10 20:43:20 - mmengine - INFO - Epoch(train) [68][150/586] lr: 5.000000e-04 eta: 8:45:06 time: 0.408586 data_time: 0.024824 memory: 15677 loss_kpt: 0.018133 acc_pose: 0.726076 loss: 0.018133 2022/10/10 20:43:40 - mmengine - INFO - Epoch(train) [68][200/586] lr: 5.000000e-04 eta: 8:44:50 time: 0.400204 data_time: 0.025736 memory: 15677 loss_kpt: 0.017731 acc_pose: 0.719377 loss: 0.017731 2022/10/10 20:44:00 - mmengine - INFO - Epoch(train) [68][250/586] lr: 5.000000e-04 eta: 8:44:34 time: 0.400756 data_time: 0.024565 memory: 15677 loss_kpt: 0.018256 acc_pose: 0.507119 loss: 0.018256 2022/10/10 20:44:20 - mmengine - INFO - Epoch(train) [68][300/586] lr: 5.000000e-04 eta: 8:44:17 time: 0.393606 data_time: 0.025011 memory: 15677 loss_kpt: 0.018088 acc_pose: 0.649010 loss: 0.018088 2022/10/10 20:44:40 - mmengine - INFO - Epoch(train) [68][350/586] lr: 5.000000e-04 eta: 8:44:01 time: 0.404657 data_time: 0.024109 memory: 15677 loss_kpt: 0.017684 acc_pose: 0.711738 loss: 0.017684 2022/10/10 20:45:00 - mmengine - INFO - Epoch(train) [68][400/586] lr: 5.000000e-04 eta: 8:43:44 time: 0.393373 data_time: 0.024866 memory: 15677 loss_kpt: 0.018119 acc_pose: 0.590931 loss: 0.018119 2022/10/10 20:45:20 - mmengine - INFO - Epoch(train) [68][450/586] lr: 5.000000e-04 eta: 8:43:27 time: 0.397886 data_time: 0.024909 memory: 15677 loss_kpt: 0.017666 acc_pose: 0.674807 loss: 0.017666 2022/10/10 20:45:40 - mmengine - INFO - Epoch(train) [68][500/586] lr: 5.000000e-04 eta: 8:43:11 time: 0.400802 data_time: 0.025090 memory: 15677 loss_kpt: 0.018076 acc_pose: 0.587061 loss: 0.018076 2022/10/10 20:46:00 - mmengine - INFO - Epoch(train) [68][550/586] lr: 5.000000e-04 eta: 8:42:54 time: 0.397169 data_time: 0.027406 memory: 15677 loss_kpt: 0.017892 acc_pose: 0.678041 loss: 0.017892 2022/10/10 20:46:14 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:46:35 - mmengine - INFO - Epoch(train) [69][50/586] lr: 5.000000e-04 eta: 8:41:57 time: 0.413043 data_time: 0.041313 memory: 15677 loss_kpt: 0.018017 acc_pose: 0.701956 loss: 0.018017 2022/10/10 20:46:55 - mmengine - INFO - Epoch(train) [69][100/586] lr: 5.000000e-04 eta: 8:41:41 time: 0.402110 data_time: 0.025869 memory: 15677 loss_kpt: 0.017556 acc_pose: 0.678533 loss: 0.017556 2022/10/10 20:47:15 - mmengine - INFO - Epoch(train) [69][150/586] lr: 5.000000e-04 eta: 8:41:24 time: 0.398486 data_time: 0.026451 memory: 15677 loss_kpt: 0.016929 acc_pose: 0.719785 loss: 0.016929 2022/10/10 20:47:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:47:35 - mmengine - INFO - Epoch(train) [69][200/586] lr: 5.000000e-04 eta: 8:41:09 time: 0.406318 data_time: 0.029274 memory: 15677 loss_kpt: 0.018037 acc_pose: 0.715145 loss: 0.018037 2022/10/10 20:47:55 - mmengine - INFO - Epoch(train) [69][250/586] lr: 5.000000e-04 eta: 8:40:51 time: 0.392848 data_time: 0.025922 memory: 15677 loss_kpt: 0.018259 acc_pose: 0.602912 loss: 0.018259 2022/10/10 20:48:15 - mmengine - INFO - Epoch(train) [69][300/586] lr: 5.000000e-04 eta: 8:40:35 time: 0.402748 data_time: 0.025108 memory: 15677 loss_kpt: 0.017988 acc_pose: 0.659009 loss: 0.017988 2022/10/10 20:48:35 - mmengine - INFO - Epoch(train) [69][350/586] lr: 5.000000e-04 eta: 8:40:19 time: 0.398832 data_time: 0.023977 memory: 15677 loss_kpt: 0.017545 acc_pose: 0.699559 loss: 0.017545 2022/10/10 20:48:55 - mmengine - INFO - Epoch(train) [69][400/586] lr: 5.000000e-04 eta: 8:40:02 time: 0.400575 data_time: 0.026407 memory: 15677 loss_kpt: 0.017705 acc_pose: 0.794775 loss: 0.017705 2022/10/10 20:49:15 - mmengine - INFO - Epoch(train) [69][450/586] lr: 5.000000e-04 eta: 8:39:46 time: 0.397661 data_time: 0.025946 memory: 15677 loss_kpt: 0.017715 acc_pose: 0.604851 loss: 0.017715 2022/10/10 20:49:35 - mmengine - INFO - Epoch(train) [69][500/586] lr: 5.000000e-04 eta: 8:39:29 time: 0.396541 data_time: 0.026017 memory: 15677 loss_kpt: 0.018123 acc_pose: 0.646701 loss: 0.018123 2022/10/10 20:49:55 - mmengine - INFO - Epoch(train) [69][550/586] lr: 5.000000e-04 eta: 8:39:12 time: 0.399594 data_time: 0.023700 memory: 15677 loss_kpt: 0.017706 acc_pose: 0.670633 loss: 0.017706 2022/10/10 20:50:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:50:29 - mmengine - INFO - Epoch(train) [70][50/586] lr: 5.000000e-04 eta: 8:38:16 time: 0.411273 data_time: 0.038353 memory: 15677 loss_kpt: 0.018100 acc_pose: 0.669962 loss: 0.018100 2022/10/10 20:50:49 - mmengine - INFO - Epoch(train) [70][100/586] lr: 5.000000e-04 eta: 8:37:59 time: 0.397319 data_time: 0.024493 memory: 15677 loss_kpt: 0.017988 acc_pose: 0.688715 loss: 0.017988 2022/10/10 20:51:09 - mmengine - INFO - Epoch(train) [70][150/586] lr: 5.000000e-04 eta: 8:37:42 time: 0.396752 data_time: 0.026088 memory: 15677 loss_kpt: 0.017634 acc_pose: 0.606235 loss: 0.017634 2022/10/10 20:51:29 - mmengine - INFO - Epoch(train) [70][200/586] lr: 5.000000e-04 eta: 8:37:26 time: 0.403589 data_time: 0.027259 memory: 15677 loss_kpt: 0.018031 acc_pose: 0.708106 loss: 0.018031 2022/10/10 20:51:49 - mmengine - INFO - Epoch(train) [70][250/586] lr: 5.000000e-04 eta: 8:37:10 time: 0.399299 data_time: 0.028191 memory: 15677 loss_kpt: 0.017804 acc_pose: 0.658005 loss: 0.017804 2022/10/10 20:52:09 - mmengine - INFO - Epoch(train) [70][300/586] lr: 5.000000e-04 eta: 8:36:53 time: 0.401741 data_time: 0.030479 memory: 15677 loss_kpt: 0.017644 acc_pose: 0.694865 loss: 0.017644 2022/10/10 20:52:29 - mmengine - INFO - Epoch(train) [70][350/586] lr: 5.000000e-04 eta: 8:36:36 time: 0.395376 data_time: 0.027054 memory: 15677 loss_kpt: 0.017879 acc_pose: 0.690817 loss: 0.017879 2022/10/10 20:52:49 - mmengine - INFO - Epoch(train) [70][400/586] lr: 5.000000e-04 eta: 8:36:20 time: 0.398307 data_time: 0.024663 memory: 15677 loss_kpt: 0.017808 acc_pose: 0.708863 loss: 0.017808 2022/10/10 20:53:09 - mmengine - INFO - Epoch(train) [70][450/586] lr: 5.000000e-04 eta: 8:36:04 time: 0.404213 data_time: 0.027644 memory: 15677 loss_kpt: 0.017562 acc_pose: 0.715530 loss: 0.017562 2022/10/10 20:53:29 - mmengine - INFO - Epoch(train) [70][500/586] lr: 5.000000e-04 eta: 8:35:47 time: 0.399542 data_time: 0.025528 memory: 15677 loss_kpt: 0.018028 acc_pose: 0.707018 loss: 0.018028 2022/10/10 20:53:49 - mmengine - INFO - Epoch(train) [70][550/586] lr: 5.000000e-04 eta: 8:35:30 time: 0.392926 data_time: 0.024362 memory: 15677 loss_kpt: 0.017308 acc_pose: 0.719274 loss: 0.017308 2022/10/10 20:53:55 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:54:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 20:54:03 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/10/10 20:54:16 - mmengine - INFO - Epoch(val) [70][50/407] eta: 0:01:10 time: 0.197356 data_time: 0.015800 memory: 15677 2022/10/10 20:54:25 - mmengine - INFO - Epoch(val) [70][100/407] eta: 0:00:59 time: 0.193210 data_time: 0.012090 memory: 4213 2022/10/10 20:54:35 - mmengine - INFO - Epoch(val) [70][150/407] eta: 0:00:48 time: 0.190010 data_time: 0.009548 memory: 4213 2022/10/10 20:54:44 - mmengine - INFO - Epoch(val) [70][200/407] eta: 0:00:39 time: 0.189850 data_time: 0.008762 memory: 4213 2022/10/10 20:54:54 - mmengine - INFO - Epoch(val) [70][250/407] eta: 0:00:29 time: 0.189775 data_time: 0.008311 memory: 4213 2022/10/10 20:55:03 - mmengine - INFO - Epoch(val) [70][300/407] eta: 0:00:20 time: 0.189655 data_time: 0.008548 memory: 4213 2022/10/10 20:55:13 - mmengine - INFO - Epoch(val) [70][350/407] eta: 0:00:10 time: 0.189608 data_time: 0.008808 memory: 4213 2022/10/10 20:55:22 - mmengine - INFO - Epoch(val) [70][400/407] eta: 0:00:01 time: 0.192454 data_time: 0.008541 memory: 4213 2022/10/10 20:55:55 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 20:56:08 - mmengine - INFO - Epoch(val) [70][407/407] coco/AP: 0.602543 coco/AP .5: 0.840780 coco/AP .75: 0.671487 coco/AP (M): 0.573873 coco/AP (L): 0.663012 coco/AR: 0.662453 coco/AR .5: 0.885705 coco/AR .75: 0.728275 coco/AR (M): 0.622016 coco/AR (L): 0.720476 2022/10/10 20:56:08 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_60.pth is removed 2022/10/10 20:56:10 - mmengine - INFO - The best checkpoint with 0.6025 coco/AP at 70 epoch is saved to best_coco/AP_epoch_70.pth. 2022/10/10 20:56:30 - mmengine - INFO - Epoch(train) [71][50/586] lr: 5.000000e-04 eta: 8:34:34 time: 0.412039 data_time: 0.030797 memory: 15677 loss_kpt: 0.017371 acc_pose: 0.666098 loss: 0.017371 2022/10/10 20:56:51 - mmengine - INFO - Epoch(train) [71][100/586] lr: 5.000000e-04 eta: 8:34:18 time: 0.404176 data_time: 0.028001 memory: 15677 loss_kpt: 0.017637 acc_pose: 0.709302 loss: 0.017637 2022/10/10 20:57:10 - mmengine - INFO - Epoch(train) [71][150/586] lr: 5.000000e-04 eta: 8:34:01 time: 0.399016 data_time: 0.024364 memory: 15677 loss_kpt: 0.018104 acc_pose: 0.674370 loss: 0.018104 2022/10/10 20:57:30 - mmengine - INFO - Epoch(train) [71][200/586] lr: 5.000000e-04 eta: 8:33:44 time: 0.396865 data_time: 0.023548 memory: 15677 loss_kpt: 0.017194 acc_pose: 0.742001 loss: 0.017194 2022/10/10 20:57:50 - mmengine - INFO - Epoch(train) [71][250/586] lr: 5.000000e-04 eta: 8:33:28 time: 0.398217 data_time: 0.024066 memory: 15677 loss_kpt: 0.017814 acc_pose: 0.607733 loss: 0.017814 2022/10/10 20:58:10 - mmengine - INFO - Epoch(train) [71][300/586] lr: 5.000000e-04 eta: 8:33:11 time: 0.399104 data_time: 0.024708 memory: 15677 loss_kpt: 0.017881 acc_pose: 0.682079 loss: 0.017881 2022/10/10 20:58:30 - mmengine - INFO - Epoch(train) [71][350/586] lr: 5.000000e-04 eta: 8:32:54 time: 0.399484 data_time: 0.028676 memory: 15677 loss_kpt: 0.018022 acc_pose: 0.723174 loss: 0.018022 2022/10/10 20:58:50 - mmengine - INFO - Epoch(train) [71][400/586] lr: 5.000000e-04 eta: 8:32:38 time: 0.397888 data_time: 0.027393 memory: 15677 loss_kpt: 0.017764 acc_pose: 0.571505 loss: 0.017764 2022/10/10 20:59:10 - mmengine - INFO - Epoch(train) [71][450/586] lr: 5.000000e-04 eta: 8:32:21 time: 0.399736 data_time: 0.025210 memory: 15677 loss_kpt: 0.017744 acc_pose: 0.654403 loss: 0.017744 2022/10/10 20:59:30 - mmengine - INFO - Epoch(train) [71][500/586] lr: 5.000000e-04 eta: 8:32:05 time: 0.401322 data_time: 0.025156 memory: 15677 loss_kpt: 0.018253 acc_pose: 0.592234 loss: 0.018253 2022/10/10 20:59:50 - mmengine - INFO - Epoch(train) [71][550/586] lr: 5.000000e-04 eta: 8:31:48 time: 0.400202 data_time: 0.025884 memory: 15677 loss_kpt: 0.018372 acc_pose: 0.693191 loss: 0.018372 2022/10/10 21:00:04 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:00:25 - mmengine - INFO - Epoch(train) [72][50/586] lr: 5.000000e-04 eta: 8:30:53 time: 0.410577 data_time: 0.031583 memory: 15677 loss_kpt: 0.018013 acc_pose: 0.632644 loss: 0.018013 2022/10/10 21:00:45 - mmengine - INFO - Epoch(train) [72][100/586] lr: 5.000000e-04 eta: 8:30:35 time: 0.390857 data_time: 0.024582 memory: 15677 loss_kpt: 0.017271 acc_pose: 0.682544 loss: 0.017271 2022/10/10 21:01:05 - mmengine - INFO - Epoch(train) [72][150/586] lr: 5.000000e-04 eta: 8:30:19 time: 0.399931 data_time: 0.024120 memory: 15677 loss_kpt: 0.018149 acc_pose: 0.698369 loss: 0.018149 2022/10/10 21:01:24 - mmengine - INFO - Epoch(train) [72][200/586] lr: 5.000000e-04 eta: 8:30:02 time: 0.397810 data_time: 0.028931 memory: 15677 loss_kpt: 0.017264 acc_pose: 0.648582 loss: 0.017264 2022/10/10 21:01:45 - mmengine - INFO - Epoch(train) [72][250/586] lr: 5.000000e-04 eta: 8:29:46 time: 0.404433 data_time: 0.026024 memory: 15677 loss_kpt: 0.017766 acc_pose: 0.606926 loss: 0.017766 2022/10/10 21:02:04 - mmengine - INFO - Epoch(train) [72][300/586] lr: 5.000000e-04 eta: 8:29:28 time: 0.392806 data_time: 0.025464 memory: 15677 loss_kpt: 0.017985 acc_pose: 0.713836 loss: 0.017985 2022/10/10 21:02:25 - mmengine - INFO - Epoch(train) [72][350/586] lr: 5.000000e-04 eta: 8:29:12 time: 0.403903 data_time: 0.024962 memory: 15677 loss_kpt: 0.017308 acc_pose: 0.672195 loss: 0.017308 2022/10/10 21:02:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:02:45 - mmengine - INFO - Epoch(train) [72][400/586] lr: 5.000000e-04 eta: 8:28:56 time: 0.402746 data_time: 0.032876 memory: 15677 loss_kpt: 0.017707 acc_pose: 0.623819 loss: 0.017707 2022/10/10 21:03:05 - mmengine - INFO - Epoch(train) [72][450/586] lr: 5.000000e-04 eta: 8:28:39 time: 0.399391 data_time: 0.030748 memory: 15677 loss_kpt: 0.017731 acc_pose: 0.658393 loss: 0.017731 2022/10/10 21:03:25 - mmengine - INFO - Epoch(train) [72][500/586] lr: 5.000000e-04 eta: 8:28:22 time: 0.398316 data_time: 0.026487 memory: 15677 loss_kpt: 0.017672 acc_pose: 0.723719 loss: 0.017672 2022/10/10 21:03:44 - mmengine - INFO - Epoch(train) [72][550/586] lr: 5.000000e-04 eta: 8:28:05 time: 0.396876 data_time: 0.026121 memory: 15677 loss_kpt: 0.017365 acc_pose: 0.556823 loss: 0.017365 2022/10/10 21:03:58 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:04:19 - mmengine - INFO - Epoch(train) [73][50/586] lr: 5.000000e-04 eta: 8:27:10 time: 0.409542 data_time: 0.033237 memory: 15677 loss_kpt: 0.017341 acc_pose: 0.652658 loss: 0.017341 2022/10/10 21:04:39 - mmengine - INFO - Epoch(train) [73][100/586] lr: 5.000000e-04 eta: 8:26:54 time: 0.399804 data_time: 0.024148 memory: 15677 loss_kpt: 0.017352 acc_pose: 0.646291 loss: 0.017352 2022/10/10 21:04:58 - mmengine - INFO - Epoch(train) [73][150/586] lr: 5.000000e-04 eta: 8:26:36 time: 0.392669 data_time: 0.026199 memory: 15677 loss_kpt: 0.017631 acc_pose: 0.629211 loss: 0.017631 2022/10/10 21:05:19 - mmengine - INFO - Epoch(train) [73][200/586] lr: 5.000000e-04 eta: 8:26:20 time: 0.404706 data_time: 0.024998 memory: 15677 loss_kpt: 0.017965 acc_pose: 0.651263 loss: 0.017965 2022/10/10 21:05:39 - mmengine - INFO - Epoch(train) [73][250/586] lr: 5.000000e-04 eta: 8:26:04 time: 0.401728 data_time: 0.025964 memory: 15677 loss_kpt: 0.017757 acc_pose: 0.670044 loss: 0.017757 2022/10/10 21:05:59 - mmengine - INFO - Epoch(train) [73][300/586] lr: 5.000000e-04 eta: 8:25:47 time: 0.399188 data_time: 0.023519 memory: 15677 loss_kpt: 0.017443 acc_pose: 0.681834 loss: 0.017443 2022/10/10 21:06:18 - mmengine - INFO - Epoch(train) [73][350/586] lr: 5.000000e-04 eta: 8:25:30 time: 0.392138 data_time: 0.027017 memory: 15677 loss_kpt: 0.017599 acc_pose: 0.685410 loss: 0.017599 2022/10/10 21:06:39 - mmengine - INFO - Epoch(train) [73][400/586] lr: 5.000000e-04 eta: 8:25:14 time: 0.405523 data_time: 0.024696 memory: 15677 loss_kpt: 0.017371 acc_pose: 0.693405 loss: 0.017371 2022/10/10 21:06:59 - mmengine - INFO - Epoch(train) [73][450/586] lr: 5.000000e-04 eta: 8:24:57 time: 0.401565 data_time: 0.028583 memory: 15677 loss_kpt: 0.018020 acc_pose: 0.704790 loss: 0.018020 2022/10/10 21:07:19 - mmengine - INFO - Epoch(train) [73][500/586] lr: 5.000000e-04 eta: 8:24:40 time: 0.398438 data_time: 0.025061 memory: 15677 loss_kpt: 0.017760 acc_pose: 0.727001 loss: 0.017760 2022/10/10 21:07:38 - mmengine - INFO - Epoch(train) [73][550/586] lr: 5.000000e-04 eta: 8:24:23 time: 0.393717 data_time: 0.026391 memory: 15677 loss_kpt: 0.017492 acc_pose: 0.678204 loss: 0.017492 2022/10/10 21:07:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:08:13 - mmengine - INFO - Epoch(train) [74][50/586] lr: 5.000000e-04 eta: 8:23:29 time: 0.412138 data_time: 0.033781 memory: 15677 loss_kpt: 0.018051 acc_pose: 0.648674 loss: 0.018051 2022/10/10 21:08:33 - mmengine - INFO - Epoch(train) [74][100/586] lr: 5.000000e-04 eta: 8:23:12 time: 0.397620 data_time: 0.023437 memory: 15677 loss_kpt: 0.017605 acc_pose: 0.668090 loss: 0.017605 2022/10/10 21:08:53 - mmengine - INFO - Epoch(train) [74][150/586] lr: 5.000000e-04 eta: 8:22:55 time: 0.397111 data_time: 0.025619 memory: 15677 loss_kpt: 0.017547 acc_pose: 0.677149 loss: 0.017547 2022/10/10 21:09:13 - mmengine - INFO - Epoch(train) [74][200/586] lr: 5.000000e-04 eta: 8:22:38 time: 0.401116 data_time: 0.025873 memory: 15677 loss_kpt: 0.017744 acc_pose: 0.635086 loss: 0.017744 2022/10/10 21:09:22 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:09:33 - mmengine - INFO - Epoch(train) [74][250/586] lr: 5.000000e-04 eta: 8:22:22 time: 0.399828 data_time: 0.026061 memory: 15677 loss_kpt: 0.018514 acc_pose: 0.686683 loss: 0.018514 2022/10/10 21:09:53 - mmengine - INFO - Epoch(train) [74][300/586] lr: 5.000000e-04 eta: 8:22:05 time: 0.396006 data_time: 0.023995 memory: 15677 loss_kpt: 0.017634 acc_pose: 0.726858 loss: 0.017634 2022/10/10 21:10:13 - mmengine - INFO - Epoch(train) [74][350/586] lr: 5.000000e-04 eta: 8:21:48 time: 0.399156 data_time: 0.024125 memory: 15677 loss_kpt: 0.017752 acc_pose: 0.688713 loss: 0.017752 2022/10/10 21:10:33 - mmengine - INFO - Epoch(train) [74][400/586] lr: 5.000000e-04 eta: 8:21:31 time: 0.402544 data_time: 0.024786 memory: 15677 loss_kpt: 0.018024 acc_pose: 0.677893 loss: 0.018024 2022/10/10 21:10:53 - mmengine - INFO - Epoch(train) [74][450/586] lr: 5.000000e-04 eta: 8:21:15 time: 0.400849 data_time: 0.024838 memory: 15677 loss_kpt: 0.017231 acc_pose: 0.754880 loss: 0.017231 2022/10/10 21:11:13 - mmengine - INFO - Epoch(train) [74][500/586] lr: 5.000000e-04 eta: 8:20:58 time: 0.396370 data_time: 0.023617 memory: 15677 loss_kpt: 0.017283 acc_pose: 0.644191 loss: 0.017283 2022/10/10 21:11:33 - mmengine - INFO - Epoch(train) [74][550/586] lr: 5.000000e-04 eta: 8:20:42 time: 0.406132 data_time: 0.024434 memory: 15677 loss_kpt: 0.017490 acc_pose: 0.656648 loss: 0.017490 2022/10/10 21:11:47 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:12:08 - mmengine - INFO - Epoch(train) [75][50/586] lr: 5.000000e-04 eta: 8:19:47 time: 0.410497 data_time: 0.035544 memory: 15677 loss_kpt: 0.017806 acc_pose: 0.735538 loss: 0.017806 2022/10/10 21:12:28 - mmengine - INFO - Epoch(train) [75][100/586] lr: 5.000000e-04 eta: 8:19:31 time: 0.400322 data_time: 0.025652 memory: 15677 loss_kpt: 0.017347 acc_pose: 0.615355 loss: 0.017347 2022/10/10 21:12:48 - mmengine - INFO - Epoch(train) [75][150/586] lr: 5.000000e-04 eta: 8:19:14 time: 0.400583 data_time: 0.031057 memory: 15677 loss_kpt: 0.017244 acc_pose: 0.643959 loss: 0.017244 2022/10/10 21:13:08 - mmengine - INFO - Epoch(train) [75][200/586] lr: 5.000000e-04 eta: 8:18:57 time: 0.398975 data_time: 0.025540 memory: 15677 loss_kpt: 0.018049 acc_pose: 0.674613 loss: 0.018049 2022/10/10 21:13:28 - mmengine - INFO - Epoch(train) [75][250/586] lr: 5.000000e-04 eta: 8:18:41 time: 0.400511 data_time: 0.024575 memory: 15677 loss_kpt: 0.017964 acc_pose: 0.690829 loss: 0.017964 2022/10/10 21:13:48 - mmengine - INFO - Epoch(train) [75][300/586] lr: 5.000000e-04 eta: 8:18:24 time: 0.405642 data_time: 0.025839 memory: 15677 loss_kpt: 0.017536 acc_pose: 0.727127 loss: 0.017536 2022/10/10 21:14:08 - mmengine - INFO - Epoch(train) [75][350/586] lr: 5.000000e-04 eta: 8:18:07 time: 0.396847 data_time: 0.026983 memory: 15677 loss_kpt: 0.017741 acc_pose: 0.654225 loss: 0.017741 2022/10/10 21:14:28 - mmengine - INFO - Epoch(train) [75][400/586] lr: 5.000000e-04 eta: 8:17:51 time: 0.407555 data_time: 0.024586 memory: 15677 loss_kpt: 0.017460 acc_pose: 0.687527 loss: 0.017460 2022/10/10 21:14:48 - mmengine - INFO - Epoch(train) [75][450/586] lr: 5.000000e-04 eta: 8:17:34 time: 0.392846 data_time: 0.024140 memory: 15677 loss_kpt: 0.017852 acc_pose: 0.703252 loss: 0.017852 2022/10/10 21:15:08 - mmengine - INFO - Epoch(train) [75][500/586] lr: 5.000000e-04 eta: 8:17:17 time: 0.401494 data_time: 0.025446 memory: 15677 loss_kpt: 0.018401 acc_pose: 0.663869 loss: 0.018401 2022/10/10 21:15:28 - mmengine - INFO - Epoch(train) [75][550/586] lr: 5.000000e-04 eta: 8:17:01 time: 0.401693 data_time: 0.023680 memory: 15677 loss_kpt: 0.017889 acc_pose: 0.621370 loss: 0.017889 2022/10/10 21:15:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:16:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:16:03 - mmengine - INFO - Epoch(train) [76][50/586] lr: 5.000000e-04 eta: 8:16:07 time: 0.406003 data_time: 0.031599 memory: 15677 loss_kpt: 0.017822 acc_pose: 0.705391 loss: 0.017822 2022/10/10 21:16:22 - mmengine - INFO - Epoch(train) [76][100/586] lr: 5.000000e-04 eta: 8:15:50 time: 0.397129 data_time: 0.027094 memory: 15677 loss_kpt: 0.018123 acc_pose: 0.692207 loss: 0.018123 2022/10/10 21:16:43 - mmengine - INFO - Epoch(train) [76][150/586] lr: 5.000000e-04 eta: 8:15:33 time: 0.403100 data_time: 0.024753 memory: 15677 loss_kpt: 0.016897 acc_pose: 0.620318 loss: 0.016897 2022/10/10 21:17:02 - mmengine - INFO - Epoch(train) [76][200/586] lr: 5.000000e-04 eta: 8:15:16 time: 0.396713 data_time: 0.026556 memory: 15677 loss_kpt: 0.017211 acc_pose: 0.696085 loss: 0.017211 2022/10/10 21:17:23 - mmengine - INFO - Epoch(train) [76][250/586] lr: 5.000000e-04 eta: 8:15:00 time: 0.406453 data_time: 0.027268 memory: 15677 loss_kpt: 0.017610 acc_pose: 0.737082 loss: 0.017610 2022/10/10 21:17:43 - mmengine - INFO - Epoch(train) [76][300/586] lr: 5.000000e-04 eta: 8:14:43 time: 0.396715 data_time: 0.026419 memory: 15677 loss_kpt: 0.017596 acc_pose: 0.682894 loss: 0.017596 2022/10/10 21:18:03 - mmengine - INFO - Epoch(train) [76][350/586] lr: 5.000000e-04 eta: 8:14:26 time: 0.399587 data_time: 0.028149 memory: 15677 loss_kpt: 0.017597 acc_pose: 0.658273 loss: 0.017597 2022/10/10 21:18:23 - mmengine - INFO - Epoch(train) [76][400/586] lr: 5.000000e-04 eta: 8:14:10 time: 0.400097 data_time: 0.026192 memory: 15677 loss_kpt: 0.017362 acc_pose: 0.674067 loss: 0.017362 2022/10/10 21:18:43 - mmengine - INFO - Epoch(train) [76][450/586] lr: 5.000000e-04 eta: 8:13:53 time: 0.400446 data_time: 0.029296 memory: 15677 loss_kpt: 0.017963 acc_pose: 0.575251 loss: 0.017963 2022/10/10 21:19:03 - mmengine - INFO - Epoch(train) [76][500/586] lr: 5.000000e-04 eta: 8:13:36 time: 0.402164 data_time: 0.027824 memory: 15677 loss_kpt: 0.017877 acc_pose: 0.469021 loss: 0.017877 2022/10/10 21:19:23 - mmengine - INFO - Epoch(train) [76][550/586] lr: 5.000000e-04 eta: 8:13:19 time: 0.400555 data_time: 0.026779 memory: 15677 loss_kpt: 0.018055 acc_pose: 0.756275 loss: 0.018055 2022/10/10 21:19:37 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:19:57 - mmengine - INFO - Epoch(train) [77][50/586] lr: 5.000000e-04 eta: 8:12:26 time: 0.406203 data_time: 0.034663 memory: 15677 loss_kpt: 0.017420 acc_pose: 0.659807 loss: 0.017420 2022/10/10 21:20:17 - mmengine - INFO - Epoch(train) [77][100/586] lr: 5.000000e-04 eta: 8:12:09 time: 0.401650 data_time: 0.026983 memory: 15677 loss_kpt: 0.017708 acc_pose: 0.750573 loss: 0.017708 2022/10/10 21:20:37 - mmengine - INFO - Epoch(train) [77][150/586] lr: 5.000000e-04 eta: 8:11:52 time: 0.397436 data_time: 0.026363 memory: 15677 loss_kpt: 0.017800 acc_pose: 0.633353 loss: 0.017800 2022/10/10 21:20:57 - mmengine - INFO - Epoch(train) [77][200/586] lr: 5.000000e-04 eta: 8:11:35 time: 0.394127 data_time: 0.024866 memory: 15677 loss_kpt: 0.017684 acc_pose: 0.737505 loss: 0.017684 2022/10/10 21:21:17 - mmengine - INFO - Epoch(train) [77][250/586] lr: 5.000000e-04 eta: 8:11:18 time: 0.401673 data_time: 0.024934 memory: 15677 loss_kpt: 0.017567 acc_pose: 0.785220 loss: 0.017567 2022/10/10 21:21:37 - mmengine - INFO - Epoch(train) [77][300/586] lr: 5.000000e-04 eta: 8:11:02 time: 0.401753 data_time: 0.025832 memory: 15677 loss_kpt: 0.017818 acc_pose: 0.599319 loss: 0.017818 2022/10/10 21:21:57 - mmengine - INFO - Epoch(train) [77][350/586] lr: 5.000000e-04 eta: 8:10:45 time: 0.398820 data_time: 0.023999 memory: 15677 loss_kpt: 0.017656 acc_pose: 0.705524 loss: 0.017656 2022/10/10 21:22:17 - mmengine - INFO - Epoch(train) [77][400/586] lr: 5.000000e-04 eta: 8:10:28 time: 0.400691 data_time: 0.025264 memory: 15677 loss_kpt: 0.017783 acc_pose: 0.735528 loss: 0.017783 2022/10/10 21:22:37 - mmengine - INFO - Epoch(train) [77][450/586] lr: 5.000000e-04 eta: 8:10:11 time: 0.395775 data_time: 0.023122 memory: 15677 loss_kpt: 0.017686 acc_pose: 0.709204 loss: 0.017686 2022/10/10 21:22:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:22:57 - mmengine - INFO - Epoch(train) [77][500/586] lr: 5.000000e-04 eta: 8:09:54 time: 0.402041 data_time: 0.024682 memory: 15677 loss_kpt: 0.017341 acc_pose: 0.735152 loss: 0.017341 2022/10/10 21:23:17 - mmengine - INFO - Epoch(train) [77][550/586] lr: 5.000000e-04 eta: 8:09:37 time: 0.401755 data_time: 0.032344 memory: 15677 loss_kpt: 0.017706 acc_pose: 0.673228 loss: 0.017706 2022/10/10 21:23:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:23:52 - mmengine - INFO - Epoch(train) [78][50/586] lr: 5.000000e-04 eta: 8:08:45 time: 0.414949 data_time: 0.031516 memory: 15677 loss_kpt: 0.017246 acc_pose: 0.658811 loss: 0.017246 2022/10/10 21:24:12 - mmengine - INFO - Epoch(train) [78][100/586] lr: 5.000000e-04 eta: 8:08:28 time: 0.393921 data_time: 0.024744 memory: 15677 loss_kpt: 0.017472 acc_pose: 0.602668 loss: 0.017472 2022/10/10 21:24:32 - mmengine - INFO - Epoch(train) [78][150/586] lr: 5.000000e-04 eta: 8:08:11 time: 0.400901 data_time: 0.025213 memory: 15677 loss_kpt: 0.017764 acc_pose: 0.713767 loss: 0.017764 2022/10/10 21:24:52 - mmengine - INFO - Epoch(train) [78][200/586] lr: 5.000000e-04 eta: 8:07:55 time: 0.406019 data_time: 0.028210 memory: 15677 loss_kpt: 0.017466 acc_pose: 0.621512 loss: 0.017466 2022/10/10 21:25:12 - mmengine - INFO - Epoch(train) [78][250/586] lr: 5.000000e-04 eta: 8:07:38 time: 0.399096 data_time: 0.024833 memory: 15677 loss_kpt: 0.017378 acc_pose: 0.693188 loss: 0.017378 2022/10/10 21:25:32 - mmengine - INFO - Epoch(train) [78][300/586] lr: 5.000000e-04 eta: 8:07:20 time: 0.394238 data_time: 0.026113 memory: 15677 loss_kpt: 0.017630 acc_pose: 0.748732 loss: 0.017630 2022/10/10 21:25:52 - mmengine - INFO - Epoch(train) [78][350/586] lr: 5.000000e-04 eta: 8:07:03 time: 0.399181 data_time: 0.025316 memory: 15677 loss_kpt: 0.017392 acc_pose: 0.700296 loss: 0.017392 2022/10/10 21:26:12 - mmengine - INFO - Epoch(train) [78][400/586] lr: 5.000000e-04 eta: 8:06:47 time: 0.406006 data_time: 0.028025 memory: 15677 loss_kpt: 0.017770 acc_pose: 0.638267 loss: 0.017770 2022/10/10 21:26:32 - mmengine - INFO - Epoch(train) [78][450/586] lr: 5.000000e-04 eta: 8:06:31 time: 0.402552 data_time: 0.024740 memory: 15677 loss_kpt: 0.018175 acc_pose: 0.666386 loss: 0.018175 2022/10/10 21:26:52 - mmengine - INFO - Epoch(train) [78][500/586] lr: 5.000000e-04 eta: 8:06:14 time: 0.398704 data_time: 0.028987 memory: 15677 loss_kpt: 0.018062 acc_pose: 0.680565 loss: 0.018062 2022/10/10 21:27:12 - mmengine - INFO - Epoch(train) [78][550/586] lr: 5.000000e-04 eta: 8:05:57 time: 0.400080 data_time: 0.027678 memory: 15677 loss_kpt: 0.017458 acc_pose: 0.636750 loss: 0.017458 2022/10/10 21:27:26 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:27:47 - mmengine - INFO - Epoch(train) [79][50/586] lr: 5.000000e-04 eta: 8:05:04 time: 0.410641 data_time: 0.036414 memory: 15677 loss_kpt: 0.017694 acc_pose: 0.689746 loss: 0.017694 2022/10/10 21:28:07 - mmengine - INFO - Epoch(train) [79][100/586] lr: 5.000000e-04 eta: 8:04:48 time: 0.401762 data_time: 0.026710 memory: 15677 loss_kpt: 0.017398 acc_pose: 0.705909 loss: 0.017398 2022/10/10 21:28:27 - mmengine - INFO - Epoch(train) [79][150/586] lr: 5.000000e-04 eta: 8:04:31 time: 0.400486 data_time: 0.024534 memory: 15677 loss_kpt: 0.017756 acc_pose: 0.696017 loss: 0.017756 2022/10/10 21:28:47 - mmengine - INFO - Epoch(train) [79][200/586] lr: 5.000000e-04 eta: 8:04:13 time: 0.393323 data_time: 0.025632 memory: 15677 loss_kpt: 0.017820 acc_pose: 0.681726 loss: 0.017820 2022/10/10 21:29:07 - mmengine - INFO - Epoch(train) [79][250/586] lr: 5.000000e-04 eta: 8:03:56 time: 0.399900 data_time: 0.029693 memory: 15677 loss_kpt: 0.017646 acc_pose: 0.724033 loss: 0.017646 2022/10/10 21:29:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:29:27 - mmengine - INFO - Epoch(train) [79][300/586] lr: 5.000000e-04 eta: 8:03:40 time: 0.399922 data_time: 0.029335 memory: 15677 loss_kpt: 0.017962 acc_pose: 0.683086 loss: 0.017962 2022/10/10 21:29:47 - mmengine - INFO - Epoch(train) [79][350/586] lr: 5.000000e-04 eta: 8:03:23 time: 0.398963 data_time: 0.028495 memory: 15677 loss_kpt: 0.017283 acc_pose: 0.702623 loss: 0.017283 2022/10/10 21:30:07 - mmengine - INFO - Epoch(train) [79][400/586] lr: 5.000000e-04 eta: 8:03:05 time: 0.395964 data_time: 0.024522 memory: 15677 loss_kpt: 0.018004 acc_pose: 0.718740 loss: 0.018004 2022/10/10 21:30:27 - mmengine - INFO - Epoch(train) [79][450/586] lr: 5.000000e-04 eta: 8:02:49 time: 0.404088 data_time: 0.029801 memory: 15677 loss_kpt: 0.017442 acc_pose: 0.737708 loss: 0.017442 2022/10/10 21:30:47 - mmengine - INFO - Epoch(train) [79][500/586] lr: 5.000000e-04 eta: 8:02:32 time: 0.399478 data_time: 0.026214 memory: 15677 loss_kpt: 0.017464 acc_pose: 0.682881 loss: 0.017464 2022/10/10 21:31:07 - mmengine - INFO - Epoch(train) [79][550/586] lr: 5.000000e-04 eta: 8:02:15 time: 0.399666 data_time: 0.024796 memory: 15677 loss_kpt: 0.017656 acc_pose: 0.567981 loss: 0.017656 2022/10/10 21:31:21 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:31:41 - mmengine - INFO - Epoch(train) [80][50/586] lr: 5.000000e-04 eta: 8:01:22 time: 0.404894 data_time: 0.033005 memory: 15677 loss_kpt: 0.017987 acc_pose: 0.739794 loss: 0.017987 2022/10/10 21:32:01 - mmengine - INFO - Epoch(train) [80][100/586] lr: 5.000000e-04 eta: 8:01:06 time: 0.406150 data_time: 0.029934 memory: 15677 loss_kpt: 0.017690 acc_pose: 0.613773 loss: 0.017690 2022/10/10 21:32:21 - mmengine - INFO - Epoch(train) [80][150/586] lr: 5.000000e-04 eta: 8:00:49 time: 0.397276 data_time: 0.024429 memory: 15677 loss_kpt: 0.017791 acc_pose: 0.578384 loss: 0.017791 2022/10/10 21:32:41 - mmengine - INFO - Epoch(train) [80][200/586] lr: 5.000000e-04 eta: 8:00:32 time: 0.399147 data_time: 0.025234 memory: 15677 loss_kpt: 0.017908 acc_pose: 0.685276 loss: 0.017908 2022/10/10 21:33:01 - mmengine - INFO - Epoch(train) [80][250/586] lr: 5.000000e-04 eta: 8:00:15 time: 0.398711 data_time: 0.027502 memory: 15677 loss_kpt: 0.017620 acc_pose: 0.763878 loss: 0.017620 2022/10/10 21:33:21 - mmengine - INFO - Epoch(train) [80][300/586] lr: 5.000000e-04 eta: 7:59:58 time: 0.400333 data_time: 0.025211 memory: 15677 loss_kpt: 0.017676 acc_pose: 0.672701 loss: 0.017676 2022/10/10 21:33:41 - mmengine - INFO - Epoch(train) [80][350/586] lr: 5.000000e-04 eta: 7:59:42 time: 0.407277 data_time: 0.025076 memory: 15677 loss_kpt: 0.017563 acc_pose: 0.687111 loss: 0.017563 2022/10/10 21:34:01 - mmengine - INFO - Epoch(train) [80][400/586] lr: 5.000000e-04 eta: 7:59:24 time: 0.395079 data_time: 0.027859 memory: 15677 loss_kpt: 0.017408 acc_pose: 0.730152 loss: 0.017408 2022/10/10 21:34:21 - mmengine - INFO - Epoch(train) [80][450/586] lr: 5.000000e-04 eta: 7:59:07 time: 0.393664 data_time: 0.024497 memory: 15677 loss_kpt: 0.017179 acc_pose: 0.610426 loss: 0.017179 2022/10/10 21:34:41 - mmengine - INFO - Epoch(train) [80][500/586] lr: 5.000000e-04 eta: 7:58:50 time: 0.398950 data_time: 0.026848 memory: 15677 loss_kpt: 0.017230 acc_pose: 0.660454 loss: 0.017230 2022/10/10 21:35:01 - mmengine - INFO - Epoch(train) [80][550/586] lr: 5.000000e-04 eta: 7:58:33 time: 0.405950 data_time: 0.028043 memory: 15677 loss_kpt: 0.017651 acc_pose: 0.649578 loss: 0.017651 2022/10/10 21:35:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:35:15 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/10/10 21:35:28 - mmengine - INFO - Epoch(val) [80][50/407] eta: 0:01:10 time: 0.198498 data_time: 0.016898 memory: 15677 2022/10/10 21:35:37 - mmengine - INFO - Epoch(val) [80][100/407] eta: 0:00:58 time: 0.190028 data_time: 0.008582 memory: 4213 2022/10/10 21:35:47 - mmengine - INFO - Epoch(val) [80][150/407] eta: 0:00:48 time: 0.190064 data_time: 0.008982 memory: 4213 2022/10/10 21:35:56 - mmengine - INFO - Epoch(val) [80][200/407] eta: 0:00:39 time: 0.189848 data_time: 0.008566 memory: 4213 2022/10/10 21:36:06 - mmengine - INFO - Epoch(val) [80][250/407] eta: 0:00:29 time: 0.189397 data_time: 0.008278 memory: 4213 2022/10/10 21:36:15 - mmengine - INFO - Epoch(val) [80][300/407] eta: 0:00:20 time: 0.189415 data_time: 0.008656 memory: 4213 2022/10/10 21:36:25 - mmengine - INFO - Epoch(val) [80][350/407] eta: 0:00:10 time: 0.189758 data_time: 0.008774 memory: 4213 2022/10/10 21:36:35 - mmengine - INFO - Epoch(val) [80][400/407] eta: 0:00:01 time: 0.192996 data_time: 0.011982 memory: 4213 2022/10/10 21:37:07 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 21:37:20 - mmengine - INFO - Epoch(val) [80][407/407] coco/AP: 0.605354 coco/AP .5: 0.839190 coco/AP .75: 0.672584 coco/AP (M): 0.576883 coco/AP (L): 0.664182 coco/AR: 0.665208 coco/AR .5: 0.884131 coco/AR .75: 0.729219 coco/AR (M): 0.625075 coco/AR (L): 0.722520 2022/10/10 21:37:20 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_70.pth is removed 2022/10/10 21:37:22 - mmengine - INFO - The best checkpoint with 0.6054 coco/AP at 80 epoch is saved to best_coco/AP_epoch_80.pth. 2022/10/10 21:37:42 - mmengine - INFO - Epoch(train) [81][50/586] lr: 5.000000e-04 eta: 7:57:41 time: 0.400356 data_time: 0.032417 memory: 15677 loss_kpt: 0.017650 acc_pose: 0.701384 loss: 0.017650 2022/10/10 21:38:02 - mmengine - INFO - Epoch(train) [81][100/586] lr: 5.000000e-04 eta: 7:57:24 time: 0.397117 data_time: 0.030004 memory: 15677 loss_kpt: 0.016953 acc_pose: 0.726001 loss: 0.016953 2022/10/10 21:38:10 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:38:22 - mmengine - INFO - Epoch(train) [81][150/586] lr: 5.000000e-04 eta: 7:57:07 time: 0.398462 data_time: 0.026489 memory: 15677 loss_kpt: 0.017516 acc_pose: 0.711529 loss: 0.017516 2022/10/10 21:38:42 - mmengine - INFO - Epoch(train) [81][200/586] lr: 5.000000e-04 eta: 7:56:50 time: 0.400645 data_time: 0.026407 memory: 15677 loss_kpt: 0.017333 acc_pose: 0.659320 loss: 0.017333 2022/10/10 21:39:02 - mmengine - INFO - Epoch(train) [81][250/586] lr: 5.000000e-04 eta: 7:56:33 time: 0.403526 data_time: 0.025333 memory: 15677 loss_kpt: 0.017727 acc_pose: 0.698031 loss: 0.017727 2022/10/10 21:39:22 - mmengine - INFO - Epoch(train) [81][300/586] lr: 5.000000e-04 eta: 7:56:16 time: 0.398425 data_time: 0.028380 memory: 15677 loss_kpt: 0.017335 acc_pose: 0.598039 loss: 0.017335 2022/10/10 21:39:42 - mmengine - INFO - Epoch(train) [81][350/586] lr: 5.000000e-04 eta: 7:55:59 time: 0.401992 data_time: 0.025068 memory: 15677 loss_kpt: 0.017294 acc_pose: 0.700178 loss: 0.017294 2022/10/10 21:40:02 - mmengine - INFO - Epoch(train) [81][400/586] lr: 5.000000e-04 eta: 7:55:42 time: 0.396334 data_time: 0.024331 memory: 15677 loss_kpt: 0.017508 acc_pose: 0.636338 loss: 0.017508 2022/10/10 21:40:22 - mmengine - INFO - Epoch(train) [81][450/586] lr: 5.000000e-04 eta: 7:55:25 time: 0.401695 data_time: 0.025752 memory: 15677 loss_kpt: 0.017456 acc_pose: 0.655551 loss: 0.017456 2022/10/10 21:40:42 - mmengine - INFO - Epoch(train) [81][500/586] lr: 5.000000e-04 eta: 7:55:08 time: 0.398218 data_time: 0.024566 memory: 15677 loss_kpt: 0.017605 acc_pose: 0.713639 loss: 0.017605 2022/10/10 21:41:02 - mmengine - INFO - Epoch(train) [81][550/586] lr: 5.000000e-04 eta: 7:54:51 time: 0.399533 data_time: 0.025340 memory: 15677 loss_kpt: 0.017670 acc_pose: 0.670873 loss: 0.017670 2022/10/10 21:41:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:41:36 - mmengine - INFO - Epoch(train) [82][50/586] lr: 5.000000e-04 eta: 7:53:59 time: 0.404299 data_time: 0.033652 memory: 15677 loss_kpt: 0.018220 acc_pose: 0.663915 loss: 0.018220 2022/10/10 21:41:56 - mmengine - INFO - Epoch(train) [82][100/586] lr: 5.000000e-04 eta: 7:53:43 time: 0.402477 data_time: 0.023453 memory: 15677 loss_kpt: 0.017945 acc_pose: 0.620007 loss: 0.017945 2022/10/10 21:42:16 - mmengine - INFO - Epoch(train) [82][150/586] lr: 5.000000e-04 eta: 7:53:26 time: 0.398958 data_time: 0.028761 memory: 15677 loss_kpt: 0.017650 acc_pose: 0.724625 loss: 0.017650 2022/10/10 21:42:36 - mmengine - INFO - Epoch(train) [82][200/586] lr: 5.000000e-04 eta: 7:53:09 time: 0.401774 data_time: 0.024758 memory: 15677 loss_kpt: 0.017698 acc_pose: 0.691384 loss: 0.017698 2022/10/10 21:42:57 - mmengine - INFO - Epoch(train) [82][250/586] lr: 5.000000e-04 eta: 7:52:52 time: 0.402519 data_time: 0.024730 memory: 15677 loss_kpt: 0.017419 acc_pose: 0.674767 loss: 0.017419 2022/10/10 21:43:17 - mmengine - INFO - Epoch(train) [82][300/586] lr: 5.000000e-04 eta: 7:52:35 time: 0.398246 data_time: 0.024489 memory: 15677 loss_kpt: 0.017511 acc_pose: 0.687522 loss: 0.017511 2022/10/10 21:43:37 - mmengine - INFO - Epoch(train) [82][350/586] lr: 5.000000e-04 eta: 7:52:18 time: 0.401208 data_time: 0.025059 memory: 15677 loss_kpt: 0.017570 acc_pose: 0.720605 loss: 0.017570 2022/10/10 21:43:57 - mmengine - INFO - Epoch(train) [82][400/586] lr: 5.000000e-04 eta: 7:52:01 time: 0.398735 data_time: 0.028987 memory: 15677 loss_kpt: 0.017371 acc_pose: 0.647061 loss: 0.017371 2022/10/10 21:44:17 - mmengine - INFO - Epoch(train) [82][450/586] lr: 5.000000e-04 eta: 7:51:44 time: 0.400222 data_time: 0.025983 memory: 15677 loss_kpt: 0.017545 acc_pose: 0.701464 loss: 0.017545 2022/10/10 21:44:36 - mmengine - INFO - Epoch(train) [82][500/586] lr: 5.000000e-04 eta: 7:51:27 time: 0.396552 data_time: 0.025928 memory: 15677 loss_kpt: 0.017606 acc_pose: 0.683333 loss: 0.017606 2022/10/10 21:44:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:44:57 - mmengine - INFO - Epoch(train) [82][550/586] lr: 5.000000e-04 eta: 7:51:10 time: 0.404447 data_time: 0.032059 memory: 15677 loss_kpt: 0.017432 acc_pose: 0.620891 loss: 0.017432 2022/10/10 21:45:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:45:32 - mmengine - INFO - Epoch(train) [83][50/586] lr: 5.000000e-04 eta: 7:50:20 time: 0.421183 data_time: 0.032751 memory: 15677 loss_kpt: 0.016987 acc_pose: 0.679934 loss: 0.016987 2022/10/10 21:45:51 - mmengine - INFO - Epoch(train) [83][100/586] lr: 5.000000e-04 eta: 7:50:03 time: 0.396672 data_time: 0.026028 memory: 15677 loss_kpt: 0.017660 acc_pose: 0.690023 loss: 0.017660 2022/10/10 21:46:11 - mmengine - INFO - Epoch(train) [83][150/586] lr: 5.000000e-04 eta: 7:49:46 time: 0.399496 data_time: 0.026102 memory: 15677 loss_kpt: 0.017696 acc_pose: 0.583008 loss: 0.017696 2022/10/10 21:46:31 - mmengine - INFO - Epoch(train) [83][200/586] lr: 5.000000e-04 eta: 7:49:28 time: 0.395927 data_time: 0.025953 memory: 15677 loss_kpt: 0.017459 acc_pose: 0.646599 loss: 0.017459 2022/10/10 21:46:51 - mmengine - INFO - Epoch(train) [83][250/586] lr: 5.000000e-04 eta: 7:49:11 time: 0.396234 data_time: 0.026676 memory: 15677 loss_kpt: 0.017519 acc_pose: 0.713151 loss: 0.017519 2022/10/10 21:47:12 - mmengine - INFO - Epoch(train) [83][300/586] lr: 5.000000e-04 eta: 7:48:55 time: 0.411217 data_time: 0.026734 memory: 15677 loss_kpt: 0.017787 acc_pose: 0.688302 loss: 0.017787 2022/10/10 21:47:31 - mmengine - INFO - Epoch(train) [83][350/586] lr: 5.000000e-04 eta: 7:48:38 time: 0.396147 data_time: 0.025447 memory: 15677 loss_kpt: 0.017462 acc_pose: 0.656626 loss: 0.017462 2022/10/10 21:47:51 - mmengine - INFO - Epoch(train) [83][400/586] lr: 5.000000e-04 eta: 7:48:20 time: 0.398452 data_time: 0.024686 memory: 15677 loss_kpt: 0.018153 acc_pose: 0.688802 loss: 0.018153 2022/10/10 21:48:11 - mmengine - INFO - Epoch(train) [83][450/586] lr: 5.000000e-04 eta: 7:48:03 time: 0.397678 data_time: 0.031388 memory: 15677 loss_kpt: 0.017641 acc_pose: 0.686149 loss: 0.017641 2022/10/10 21:48:31 - mmengine - INFO - Epoch(train) [83][500/586] lr: 5.000000e-04 eta: 7:47:46 time: 0.402266 data_time: 0.026436 memory: 15677 loss_kpt: 0.017793 acc_pose: 0.715763 loss: 0.017793 2022/10/10 21:48:51 - mmengine - INFO - Epoch(train) [83][550/586] lr: 5.000000e-04 eta: 7:47:29 time: 0.399560 data_time: 0.025698 memory: 15677 loss_kpt: 0.017284 acc_pose: 0.767852 loss: 0.017284 2022/10/10 21:49:05 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:49:26 - mmengine - INFO - Epoch(train) [84][50/586] lr: 5.000000e-04 eta: 7:46:38 time: 0.406524 data_time: 0.032944 memory: 15677 loss_kpt: 0.017440 acc_pose: 0.612611 loss: 0.017440 2022/10/10 21:49:45 - mmengine - INFO - Epoch(train) [84][100/586] lr: 5.000000e-04 eta: 7:46:21 time: 0.394073 data_time: 0.025715 memory: 15677 loss_kpt: 0.017366 acc_pose: 0.655130 loss: 0.017366 2022/10/10 21:50:06 - mmengine - INFO - Epoch(train) [84][150/586] lr: 5.000000e-04 eta: 7:46:04 time: 0.402129 data_time: 0.026329 memory: 15677 loss_kpt: 0.017406 acc_pose: 0.666875 loss: 0.017406 2022/10/10 21:50:25 - mmengine - INFO - Epoch(train) [84][200/586] lr: 5.000000e-04 eta: 7:45:47 time: 0.396563 data_time: 0.025869 memory: 15677 loss_kpt: 0.017228 acc_pose: 0.643958 loss: 0.017228 2022/10/10 21:50:45 - mmengine - INFO - Epoch(train) [84][250/586] lr: 5.000000e-04 eta: 7:45:30 time: 0.399183 data_time: 0.023811 memory: 15677 loss_kpt: 0.017324 acc_pose: 0.685305 loss: 0.017324 2022/10/10 21:51:05 - mmengine - INFO - Epoch(train) [84][300/586] lr: 5.000000e-04 eta: 7:45:12 time: 0.393941 data_time: 0.027032 memory: 15677 loss_kpt: 0.017596 acc_pose: 0.676641 loss: 0.017596 2022/10/10 21:51:25 - mmengine - INFO - Epoch(train) [84][350/586] lr: 5.000000e-04 eta: 7:44:55 time: 0.404453 data_time: 0.025455 memory: 15677 loss_kpt: 0.017115 acc_pose: 0.659972 loss: 0.017115 2022/10/10 21:51:30 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:51:45 - mmengine - INFO - Epoch(train) [84][400/586] lr: 5.000000e-04 eta: 7:44:38 time: 0.396582 data_time: 0.025038 memory: 15677 loss_kpt: 0.017219 acc_pose: 0.758109 loss: 0.017219 2022/10/10 21:52:05 - mmengine - INFO - Epoch(train) [84][450/586] lr: 5.000000e-04 eta: 7:44:21 time: 0.397292 data_time: 0.026200 memory: 15677 loss_kpt: 0.017435 acc_pose: 0.645595 loss: 0.017435 2022/10/10 21:52:25 - mmengine - INFO - Epoch(train) [84][500/586] lr: 5.000000e-04 eta: 7:44:03 time: 0.397211 data_time: 0.026413 memory: 15677 loss_kpt: 0.017663 acc_pose: 0.696911 loss: 0.017663 2022/10/10 21:52:45 - mmengine - INFO - Epoch(train) [84][550/586] lr: 5.000000e-04 eta: 7:43:47 time: 0.402427 data_time: 0.031260 memory: 15677 loss_kpt: 0.017730 acc_pose: 0.685689 loss: 0.017730 2022/10/10 21:52:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:53:20 - mmengine - INFO - Epoch(train) [85][50/586] lr: 5.000000e-04 eta: 7:42:57 time: 0.412558 data_time: 0.042660 memory: 15677 loss_kpt: 0.017672 acc_pose: 0.681438 loss: 0.017672 2022/10/10 21:53:40 - mmengine - INFO - Epoch(train) [85][100/586] lr: 5.000000e-04 eta: 7:42:39 time: 0.398608 data_time: 0.027897 memory: 15677 loss_kpt: 0.017442 acc_pose: 0.638732 loss: 0.017442 2022/10/10 21:54:00 - mmengine - INFO - Epoch(train) [85][150/586] lr: 5.000000e-04 eta: 7:42:22 time: 0.400610 data_time: 0.028012 memory: 15677 loss_kpt: 0.017890 acc_pose: 0.693642 loss: 0.017890 2022/10/10 21:54:20 - mmengine - INFO - Epoch(train) [85][200/586] lr: 5.000000e-04 eta: 7:42:05 time: 0.400340 data_time: 0.029980 memory: 15677 loss_kpt: 0.017891 acc_pose: 0.700684 loss: 0.017891 2022/10/10 21:54:40 - mmengine - INFO - Epoch(train) [85][250/586] lr: 5.000000e-04 eta: 7:41:48 time: 0.395940 data_time: 0.026020 memory: 15677 loss_kpt: 0.017114 acc_pose: 0.655918 loss: 0.017114 2022/10/10 21:55:00 - mmengine - INFO - Epoch(train) [85][300/586] lr: 5.000000e-04 eta: 7:41:31 time: 0.397669 data_time: 0.028880 memory: 15677 loss_kpt: 0.017654 acc_pose: 0.667439 loss: 0.017654 2022/10/10 21:55:20 - mmengine - INFO - Epoch(train) [85][350/586] lr: 5.000000e-04 eta: 7:41:13 time: 0.397862 data_time: 0.030543 memory: 15677 loss_kpt: 0.016807 acc_pose: 0.736141 loss: 0.016807 2022/10/10 21:55:39 - mmengine - INFO - Epoch(train) [85][400/586] lr: 5.000000e-04 eta: 7:40:56 time: 0.397437 data_time: 0.024992 memory: 15677 loss_kpt: 0.017445 acc_pose: 0.606488 loss: 0.017445 2022/10/10 21:55:59 - mmengine - INFO - Epoch(train) [85][450/586] lr: 5.000000e-04 eta: 7:40:39 time: 0.400542 data_time: 0.025901 memory: 15677 loss_kpt: 0.017693 acc_pose: 0.659811 loss: 0.017693 2022/10/10 21:56:19 - mmengine - INFO - Epoch(train) [85][500/586] lr: 5.000000e-04 eta: 7:40:22 time: 0.396112 data_time: 0.024566 memory: 15677 loss_kpt: 0.017734 acc_pose: 0.730957 loss: 0.017734 2022/10/10 21:56:39 - mmengine - INFO - Epoch(train) [85][550/586] lr: 5.000000e-04 eta: 7:40:04 time: 0.391760 data_time: 0.024374 memory: 15677 loss_kpt: 0.017287 acc_pose: 0.584672 loss: 0.017287 2022/10/10 21:56:53 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:57:14 - mmengine - INFO - Epoch(train) [86][50/586] lr: 5.000000e-04 eta: 7:39:14 time: 0.406747 data_time: 0.032329 memory: 15677 loss_kpt: 0.017511 acc_pose: 0.744215 loss: 0.017511 2022/10/10 21:57:34 - mmengine - INFO - Epoch(train) [86][100/586] lr: 5.000000e-04 eta: 7:38:57 time: 0.402914 data_time: 0.024877 memory: 15677 loss_kpt: 0.017519 acc_pose: 0.635339 loss: 0.017519 2022/10/10 21:57:54 - mmengine - INFO - Epoch(train) [86][150/586] lr: 5.000000e-04 eta: 7:38:40 time: 0.395782 data_time: 0.023476 memory: 15677 loss_kpt: 0.017484 acc_pose: 0.656077 loss: 0.017484 2022/10/10 21:58:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 21:58:13 - mmengine - INFO - Epoch(train) [86][200/586] lr: 5.000000e-04 eta: 7:38:22 time: 0.395002 data_time: 0.025949 memory: 15677 loss_kpt: 0.017508 acc_pose: 0.706667 loss: 0.017508 2022/10/10 21:58:33 - mmengine - INFO - Epoch(train) [86][250/586] lr: 5.000000e-04 eta: 7:38:05 time: 0.401252 data_time: 0.029246 memory: 15677 loss_kpt: 0.017492 acc_pose: 0.724801 loss: 0.017492 2022/10/10 21:58:54 - mmengine - INFO - Epoch(train) [86][300/586] lr: 5.000000e-04 eta: 7:37:48 time: 0.403507 data_time: 0.026366 memory: 15677 loss_kpt: 0.017606 acc_pose: 0.736386 loss: 0.017606 2022/10/10 21:59:13 - mmengine - INFO - Epoch(train) [86][350/586] lr: 5.000000e-04 eta: 7:37:31 time: 0.399263 data_time: 0.024336 memory: 15677 loss_kpt: 0.017770 acc_pose: 0.625711 loss: 0.017770 2022/10/10 21:59:33 - mmengine - INFO - Epoch(train) [86][400/586] lr: 5.000000e-04 eta: 7:37:14 time: 0.399030 data_time: 0.025171 memory: 15677 loss_kpt: 0.017621 acc_pose: 0.630952 loss: 0.017621 2022/10/10 21:59:54 - mmengine - INFO - Epoch(train) [86][450/586] lr: 5.000000e-04 eta: 7:36:57 time: 0.402222 data_time: 0.025110 memory: 15677 loss_kpt: 0.017414 acc_pose: 0.688418 loss: 0.017414 2022/10/10 22:00:13 - mmengine - INFO - Epoch(train) [86][500/586] lr: 5.000000e-04 eta: 7:36:40 time: 0.397269 data_time: 0.026590 memory: 15677 loss_kpt: 0.017263 acc_pose: 0.696099 loss: 0.017263 2022/10/10 22:00:33 - mmengine - INFO - Epoch(train) [86][550/586] lr: 5.000000e-04 eta: 7:36:22 time: 0.398769 data_time: 0.024883 memory: 15677 loss_kpt: 0.017064 acc_pose: 0.714154 loss: 0.017064 2022/10/10 22:00:48 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:01:09 - mmengine - INFO - Epoch(train) [87][50/586] lr: 5.000000e-04 eta: 7:35:34 time: 0.422034 data_time: 0.032521 memory: 15677 loss_kpt: 0.017868 acc_pose: 0.683080 loss: 0.017868 2022/10/10 22:01:29 - mmengine - INFO - Epoch(train) [87][100/586] lr: 5.000000e-04 eta: 7:35:17 time: 0.401500 data_time: 0.028895 memory: 15677 loss_kpt: 0.017777 acc_pose: 0.766170 loss: 0.017777 2022/10/10 22:01:49 - mmengine - INFO - Epoch(train) [87][150/586] lr: 5.000000e-04 eta: 7:34:59 time: 0.397146 data_time: 0.025351 memory: 15677 loss_kpt: 0.017274 acc_pose: 0.722223 loss: 0.017274 2022/10/10 22:02:09 - mmengine - INFO - Epoch(train) [87][200/586] lr: 5.000000e-04 eta: 7:34:42 time: 0.397996 data_time: 0.024459 memory: 15677 loss_kpt: 0.016995 acc_pose: 0.713679 loss: 0.016995 2022/10/10 22:02:28 - mmengine - INFO - Epoch(train) [87][250/586] lr: 5.000000e-04 eta: 7:34:25 time: 0.398294 data_time: 0.025109 memory: 15677 loss_kpt: 0.017260 acc_pose: 0.637253 loss: 0.017260 2022/10/10 22:02:48 - mmengine - INFO - Epoch(train) [87][300/586] lr: 5.000000e-04 eta: 7:34:07 time: 0.395220 data_time: 0.024531 memory: 15677 loss_kpt: 0.017928 acc_pose: 0.582814 loss: 0.017928 2022/10/10 22:03:08 - mmengine - INFO - Epoch(train) [87][350/586] lr: 5.000000e-04 eta: 7:33:50 time: 0.403606 data_time: 0.026596 memory: 15677 loss_kpt: 0.017552 acc_pose: 0.723488 loss: 0.017552 2022/10/10 22:03:28 - mmengine - INFO - Epoch(train) [87][400/586] lr: 5.000000e-04 eta: 7:33:33 time: 0.398524 data_time: 0.024724 memory: 15677 loss_kpt: 0.017619 acc_pose: 0.665267 loss: 0.017619 2022/10/10 22:03:48 - mmengine - INFO - Epoch(train) [87][450/586] lr: 5.000000e-04 eta: 7:33:16 time: 0.397416 data_time: 0.027196 memory: 15677 loss_kpt: 0.017236 acc_pose: 0.724616 loss: 0.017236 2022/10/10 22:04:08 - mmengine - INFO - Epoch(train) [87][500/586] lr: 5.000000e-04 eta: 7:32:58 time: 0.394563 data_time: 0.025724 memory: 15677 loss_kpt: 0.017618 acc_pose: 0.647970 loss: 0.017618 2022/10/10 22:04:28 - mmengine - INFO - Epoch(train) [87][550/586] lr: 5.000000e-04 eta: 7:32:41 time: 0.404029 data_time: 0.025788 memory: 15677 loss_kpt: 0.017107 acc_pose: 0.735225 loss: 0.017107 2022/10/10 22:04:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:04:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:05:03 - mmengine - INFO - Epoch(train) [88][50/586] lr: 5.000000e-04 eta: 7:31:52 time: 0.404570 data_time: 0.033813 memory: 15677 loss_kpt: 0.017193 acc_pose: 0.700584 loss: 0.017193 2022/10/10 22:05:23 - mmengine - INFO - Epoch(train) [88][100/586] lr: 5.000000e-04 eta: 7:31:35 time: 0.403829 data_time: 0.029519 memory: 15677 loss_kpt: 0.017527 acc_pose: 0.626143 loss: 0.017527 2022/10/10 22:05:43 - mmengine - INFO - Epoch(train) [88][150/586] lr: 5.000000e-04 eta: 7:31:18 time: 0.408094 data_time: 0.026897 memory: 15677 loss_kpt: 0.017401 acc_pose: 0.683047 loss: 0.017401 2022/10/10 22:06:03 - mmengine - INFO - Epoch(train) [88][200/586] lr: 5.000000e-04 eta: 7:31:01 time: 0.395127 data_time: 0.024411 memory: 15677 loss_kpt: 0.017745 acc_pose: 0.668280 loss: 0.017745 2022/10/10 22:06:23 - mmengine - INFO - Epoch(train) [88][250/586] lr: 5.000000e-04 eta: 7:30:44 time: 0.400838 data_time: 0.026644 memory: 15677 loss_kpt: 0.017248 acc_pose: 0.706633 loss: 0.017248 2022/10/10 22:06:43 - mmengine - INFO - Epoch(train) [88][300/586] lr: 5.000000e-04 eta: 7:30:26 time: 0.396499 data_time: 0.023900 memory: 15677 loss_kpt: 0.017924 acc_pose: 0.750533 loss: 0.017924 2022/10/10 22:07:03 - mmengine - INFO - Epoch(train) [88][350/586] lr: 5.000000e-04 eta: 7:30:09 time: 0.396581 data_time: 0.024035 memory: 15677 loss_kpt: 0.017255 acc_pose: 0.694833 loss: 0.017255 2022/10/10 22:07:23 - mmengine - INFO - Epoch(train) [88][400/586] lr: 5.000000e-04 eta: 7:29:52 time: 0.403405 data_time: 0.026435 memory: 15677 loss_kpt: 0.016949 acc_pose: 0.611417 loss: 0.016949 2022/10/10 22:07:43 - mmengine - INFO - Epoch(train) [88][450/586] lr: 5.000000e-04 eta: 7:29:35 time: 0.399604 data_time: 0.027123 memory: 15677 loss_kpt: 0.017480 acc_pose: 0.558274 loss: 0.017480 2022/10/10 22:08:03 - mmengine - INFO - Epoch(train) [88][500/586] lr: 5.000000e-04 eta: 7:29:17 time: 0.396764 data_time: 0.026287 memory: 15677 loss_kpt: 0.017549 acc_pose: 0.771820 loss: 0.017549 2022/10/10 22:08:23 - mmengine - INFO - Epoch(train) [88][550/586] lr: 5.000000e-04 eta: 7:29:00 time: 0.398075 data_time: 0.025686 memory: 15677 loss_kpt: 0.017613 acc_pose: 0.695101 loss: 0.017613 2022/10/10 22:08:37 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:08:57 - mmengine - INFO - Epoch(train) [89][50/586] lr: 5.000000e-04 eta: 7:28:10 time: 0.402135 data_time: 0.035254 memory: 15677 loss_kpt: 0.017820 acc_pose: 0.645232 loss: 0.017820 2022/10/10 22:09:18 - mmengine - INFO - Epoch(train) [89][100/586] lr: 5.000000e-04 eta: 7:27:53 time: 0.403170 data_time: 0.029920 memory: 15677 loss_kpt: 0.017350 acc_pose: 0.735484 loss: 0.017350 2022/10/10 22:09:37 - mmengine - INFO - Epoch(train) [89][150/586] lr: 5.000000e-04 eta: 7:27:36 time: 0.395626 data_time: 0.024896 memory: 15677 loss_kpt: 0.017603 acc_pose: 0.681444 loss: 0.017603 2022/10/10 22:09:58 - mmengine - INFO - Epoch(train) [89][200/586] lr: 5.000000e-04 eta: 7:27:19 time: 0.408215 data_time: 0.027515 memory: 15677 loss_kpt: 0.017352 acc_pose: 0.731436 loss: 0.017352 2022/10/10 22:10:18 - mmengine - INFO - Epoch(train) [89][250/586] lr: 5.000000e-04 eta: 7:27:02 time: 0.397018 data_time: 0.025496 memory: 15677 loss_kpt: 0.017157 acc_pose: 0.707221 loss: 0.017157 2022/10/10 22:10:38 - mmengine - INFO - Epoch(train) [89][300/586] lr: 5.000000e-04 eta: 7:26:45 time: 0.404401 data_time: 0.025499 memory: 15677 loss_kpt: 0.017575 acc_pose: 0.642192 loss: 0.017575 2022/10/10 22:10:58 - mmengine - INFO - Epoch(train) [89][350/586] lr: 5.000000e-04 eta: 7:26:27 time: 0.393726 data_time: 0.023977 memory: 15677 loss_kpt: 0.017979 acc_pose: 0.618573 loss: 0.017979 2022/10/10 22:11:18 - mmengine - INFO - Epoch(train) [89][400/586] lr: 5.000000e-04 eta: 7:26:10 time: 0.398639 data_time: 0.026428 memory: 15677 loss_kpt: 0.017978 acc_pose: 0.713657 loss: 0.017978 2022/10/10 22:11:31 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:11:38 - mmengine - INFO - Epoch(train) [89][450/586] lr: 5.000000e-04 eta: 7:25:53 time: 0.403844 data_time: 0.028684 memory: 15677 loss_kpt: 0.017946 acc_pose: 0.577800 loss: 0.017946 2022/10/10 22:11:58 - mmengine - INFO - Epoch(train) [89][500/586] lr: 5.000000e-04 eta: 7:25:36 time: 0.400089 data_time: 0.023839 memory: 15677 loss_kpt: 0.017365 acc_pose: 0.638222 loss: 0.017365 2022/10/10 22:12:17 - mmengine - INFO - Epoch(train) [89][550/586] lr: 5.000000e-04 eta: 7:25:18 time: 0.392035 data_time: 0.028268 memory: 15677 loss_kpt: 0.017306 acc_pose: 0.730830 loss: 0.017306 2022/10/10 22:12:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:12:53 - mmengine - INFO - Epoch(train) [90][50/586] lr: 5.000000e-04 eta: 7:24:30 time: 0.419740 data_time: 0.036869 memory: 15677 loss_kpt: 0.017650 acc_pose: 0.746776 loss: 0.017650 2022/10/10 22:13:12 - mmengine - INFO - Epoch(train) [90][100/586] lr: 5.000000e-04 eta: 7:24:13 time: 0.398612 data_time: 0.024966 memory: 15677 loss_kpt: 0.017307 acc_pose: 0.693487 loss: 0.017307 2022/10/10 22:13:32 - mmengine - INFO - Epoch(train) [90][150/586] lr: 5.000000e-04 eta: 7:23:56 time: 0.398189 data_time: 0.023732 memory: 15677 loss_kpt: 0.017364 acc_pose: 0.658749 loss: 0.017364 2022/10/10 22:13:52 - mmengine - INFO - Epoch(train) [90][200/586] lr: 5.000000e-04 eta: 7:23:38 time: 0.398212 data_time: 0.026329 memory: 15677 loss_kpt: 0.017663 acc_pose: 0.720442 loss: 0.017663 2022/10/10 22:14:12 - mmengine - INFO - Epoch(train) [90][250/586] lr: 5.000000e-04 eta: 7:23:21 time: 0.396639 data_time: 0.026920 memory: 15677 loss_kpt: 0.017440 acc_pose: 0.661065 loss: 0.017440 2022/10/10 22:14:33 - mmengine - INFO - Epoch(train) [90][300/586] lr: 5.000000e-04 eta: 7:23:04 time: 0.410097 data_time: 0.028604 memory: 15677 loss_kpt: 0.017489 acc_pose: 0.645034 loss: 0.017489 2022/10/10 22:14:53 - mmengine - INFO - Epoch(train) [90][350/586] lr: 5.000000e-04 eta: 7:22:47 time: 0.398416 data_time: 0.027806 memory: 15677 loss_kpt: 0.017408 acc_pose: 0.705508 loss: 0.017408 2022/10/10 22:15:12 - mmengine - INFO - Epoch(train) [90][400/586] lr: 5.000000e-04 eta: 7:22:29 time: 0.392218 data_time: 0.024430 memory: 15677 loss_kpt: 0.016932 acc_pose: 0.727982 loss: 0.016932 2022/10/10 22:15:32 - mmengine - INFO - Epoch(train) [90][450/586] lr: 5.000000e-04 eta: 7:22:12 time: 0.398653 data_time: 0.025880 memory: 15677 loss_kpt: 0.018054 acc_pose: 0.659106 loss: 0.018054 2022/10/10 22:15:52 - mmengine - INFO - Epoch(train) [90][500/586] lr: 5.000000e-04 eta: 7:21:55 time: 0.403239 data_time: 0.025527 memory: 15677 loss_kpt: 0.017072 acc_pose: 0.649717 loss: 0.017072 2022/10/10 22:16:12 - mmengine - INFO - Epoch(train) [90][550/586] lr: 5.000000e-04 eta: 7:21:37 time: 0.395979 data_time: 0.025683 memory: 15677 loss_kpt: 0.017151 acc_pose: 0.768879 loss: 0.017151 2022/10/10 22:16:26 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:16:26 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/10/10 22:16:39 - mmengine - INFO - Epoch(val) [90][50/407] eta: 0:01:10 time: 0.197001 data_time: 0.015312 memory: 15677 2022/10/10 22:16:49 - mmengine - INFO - Epoch(val) [90][100/407] eta: 0:00:59 time: 0.193310 data_time: 0.008681 memory: 4213 2022/10/10 22:16:58 - mmengine - INFO - Epoch(val) [90][150/407] eta: 0:00:48 time: 0.189920 data_time: 0.008786 memory: 4213 2022/10/10 22:17:08 - mmengine - INFO - Epoch(val) [90][200/407] eta: 0:00:40 time: 0.193395 data_time: 0.012140 memory: 4213 2022/10/10 22:17:17 - mmengine - INFO - Epoch(val) [90][250/407] eta: 0:00:29 time: 0.189776 data_time: 0.008595 memory: 4213 2022/10/10 22:17:27 - mmengine - INFO - Epoch(val) [90][300/407] eta: 0:00:20 time: 0.190349 data_time: 0.009295 memory: 4213 2022/10/10 22:17:36 - mmengine - INFO - Epoch(val) [90][350/407] eta: 0:00:10 time: 0.189498 data_time: 0.008441 memory: 4213 2022/10/10 22:17:46 - mmengine - INFO - Epoch(val) [90][400/407] eta: 0:00:01 time: 0.189304 data_time: 0.008856 memory: 4213 2022/10/10 22:18:18 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 22:18:32 - mmengine - INFO - Epoch(val) [90][407/407] coco/AP: 0.618226 coco/AP .5: 0.849666 coco/AP .75: 0.689560 coco/AP (M): 0.591086 coco/AP (L): 0.676140 coco/AR: 0.676480 coco/AR .5: 0.891530 coco/AR .75: 0.742443 coco/AR (M): 0.637613 coco/AR (L): 0.731996 2022/10/10 22:18:32 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_80.pth is removed 2022/10/10 22:18:34 - mmengine - INFO - The best checkpoint with 0.6182 coco/AP at 90 epoch is saved to best_coco/AP_epoch_90.pth. 2022/10/10 22:18:54 - mmengine - INFO - Epoch(train) [91][50/586] lr: 5.000000e-04 eta: 7:20:48 time: 0.398569 data_time: 0.031144 memory: 15677 loss_kpt: 0.017263 acc_pose: 0.689071 loss: 0.017263 2022/10/10 22:19:14 - mmengine - INFO - Epoch(train) [91][100/586] lr: 5.000000e-04 eta: 7:20:31 time: 0.404727 data_time: 0.027901 memory: 15677 loss_kpt: 0.017963 acc_pose: 0.646153 loss: 0.017963 2022/10/10 22:19:34 - mmengine - INFO - Epoch(train) [91][150/586] lr: 5.000000e-04 eta: 7:20:14 time: 0.398040 data_time: 0.028062 memory: 15677 loss_kpt: 0.017307 acc_pose: 0.708287 loss: 0.017307 2022/10/10 22:19:54 - mmengine - INFO - Epoch(train) [91][200/586] lr: 5.000000e-04 eta: 7:19:56 time: 0.398534 data_time: 0.025500 memory: 15677 loss_kpt: 0.017140 acc_pose: 0.662809 loss: 0.017140 2022/10/10 22:20:14 - mmengine - INFO - Epoch(train) [91][250/586] lr: 5.000000e-04 eta: 7:19:39 time: 0.402875 data_time: 0.027386 memory: 15677 loss_kpt: 0.017524 acc_pose: 0.727570 loss: 0.017524 2022/10/10 22:20:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:20:34 - mmengine - INFO - Epoch(train) [91][300/586] lr: 5.000000e-04 eta: 7:19:22 time: 0.401112 data_time: 0.024666 memory: 15677 loss_kpt: 0.017061 acc_pose: 0.599165 loss: 0.017061 2022/10/10 22:20:54 - mmengine - INFO - Epoch(train) [91][350/586] lr: 5.000000e-04 eta: 7:19:05 time: 0.395541 data_time: 0.024549 memory: 15677 loss_kpt: 0.017718 acc_pose: 0.637261 loss: 0.017718 2022/10/10 22:21:14 - mmengine - INFO - Epoch(train) [91][400/586] lr: 5.000000e-04 eta: 7:18:47 time: 0.392894 data_time: 0.025664 memory: 15677 loss_kpt: 0.017253 acc_pose: 0.704178 loss: 0.017253 2022/10/10 22:21:34 - mmengine - INFO - Epoch(train) [91][450/586] lr: 5.000000e-04 eta: 7:18:30 time: 0.411437 data_time: 0.029239 memory: 15677 loss_kpt: 0.017256 acc_pose: 0.690591 loss: 0.017256 2022/10/10 22:21:54 - mmengine - INFO - Epoch(train) [91][500/586] lr: 5.000000e-04 eta: 7:18:13 time: 0.395305 data_time: 0.026458 memory: 15677 loss_kpt: 0.017483 acc_pose: 0.715406 loss: 0.017483 2022/10/10 22:22:14 - mmengine - INFO - Epoch(train) [91][550/586] lr: 5.000000e-04 eta: 7:17:55 time: 0.400526 data_time: 0.027609 memory: 15677 loss_kpt: 0.017240 acc_pose: 0.651208 loss: 0.017240 2022/10/10 22:22:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:22:49 - mmengine - INFO - Epoch(train) [92][50/586] lr: 5.000000e-04 eta: 7:17:07 time: 0.406767 data_time: 0.032316 memory: 15677 loss_kpt: 0.017478 acc_pose: 0.730352 loss: 0.017478 2022/10/10 22:23:09 - mmengine - INFO - Epoch(train) [92][100/586] lr: 5.000000e-04 eta: 7:16:50 time: 0.402063 data_time: 0.027688 memory: 15677 loss_kpt: 0.017152 acc_pose: 0.611771 loss: 0.017152 2022/10/10 22:23:29 - mmengine - INFO - Epoch(train) [92][150/586] lr: 5.000000e-04 eta: 7:16:33 time: 0.399818 data_time: 0.027799 memory: 15677 loss_kpt: 0.017498 acc_pose: 0.681791 loss: 0.017498 2022/10/10 22:23:49 - mmengine - INFO - Epoch(train) [92][200/586] lr: 5.000000e-04 eta: 7:16:16 time: 0.399418 data_time: 0.028559 memory: 15677 loss_kpt: 0.017178 acc_pose: 0.670721 loss: 0.017178 2022/10/10 22:24:09 - mmengine - INFO - Epoch(train) [92][250/586] lr: 5.000000e-04 eta: 7:15:58 time: 0.401527 data_time: 0.031798 memory: 15677 loss_kpt: 0.017010 acc_pose: 0.717685 loss: 0.017010 2022/10/10 22:24:29 - mmengine - INFO - Epoch(train) [92][300/586] lr: 5.000000e-04 eta: 7:15:41 time: 0.400288 data_time: 0.023015 memory: 15677 loss_kpt: 0.017203 acc_pose: 0.677021 loss: 0.017203 2022/10/10 22:24:49 - mmengine - INFO - Epoch(train) [92][350/586] lr: 5.000000e-04 eta: 7:15:23 time: 0.394496 data_time: 0.024584 memory: 15677 loss_kpt: 0.017761 acc_pose: 0.580227 loss: 0.017761 2022/10/10 22:25:09 - mmengine - INFO - Epoch(train) [92][400/586] lr: 5.000000e-04 eta: 7:15:06 time: 0.403382 data_time: 0.026596 memory: 15677 loss_kpt: 0.017516 acc_pose: 0.721177 loss: 0.017516 2022/10/10 22:25:29 - mmengine - INFO - Epoch(train) [92][450/586] lr: 5.000000e-04 eta: 7:14:49 time: 0.397963 data_time: 0.023602 memory: 15677 loss_kpt: 0.017356 acc_pose: 0.688060 loss: 0.017356 2022/10/10 22:25:49 - mmengine - INFO - Epoch(train) [92][500/586] lr: 5.000000e-04 eta: 7:14:32 time: 0.402392 data_time: 0.025490 memory: 15677 loss_kpt: 0.017492 acc_pose: 0.633494 loss: 0.017492 2022/10/10 22:26:09 - mmengine - INFO - Epoch(train) [92][550/586] lr: 5.000000e-04 eta: 7:14:14 time: 0.397276 data_time: 0.024270 memory: 15677 loss_kpt: 0.017492 acc_pose: 0.747700 loss: 0.017492 2022/10/10 22:26:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:26:44 - mmengine - INFO - Epoch(train) [93][50/586] lr: 5.000000e-04 eta: 7:13:27 time: 0.411028 data_time: 0.036758 memory: 15677 loss_kpt: 0.017343 acc_pose: 0.707996 loss: 0.017343 2022/10/10 22:26:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:27:04 - mmengine - INFO - Epoch(train) [93][100/586] lr: 5.000000e-04 eta: 7:13:10 time: 0.402990 data_time: 0.025643 memory: 15677 loss_kpt: 0.017255 acc_pose: 0.762458 loss: 0.017255 2022/10/10 22:27:24 - mmengine - INFO - Epoch(train) [93][150/586] lr: 5.000000e-04 eta: 7:12:52 time: 0.399442 data_time: 0.025216 memory: 15677 loss_kpt: 0.017126 acc_pose: 0.690119 loss: 0.017126 2022/10/10 22:27:44 - mmengine - INFO - Epoch(train) [93][200/586] lr: 5.000000e-04 eta: 7:12:35 time: 0.397495 data_time: 0.026257 memory: 15677 loss_kpt: 0.017598 acc_pose: 0.762316 loss: 0.017598 2022/10/10 22:28:04 - mmengine - INFO - Epoch(train) [93][250/586] lr: 5.000000e-04 eta: 7:12:18 time: 0.401478 data_time: 0.024703 memory: 15677 loss_kpt: 0.017844 acc_pose: 0.719869 loss: 0.017844 2022/10/10 22:28:24 - mmengine - INFO - Epoch(train) [93][300/586] lr: 5.000000e-04 eta: 7:12:00 time: 0.400292 data_time: 0.023926 memory: 15677 loss_kpt: 0.017375 acc_pose: 0.660481 loss: 0.017375 2022/10/10 22:28:44 - mmengine - INFO - Epoch(train) [93][350/586] lr: 5.000000e-04 eta: 7:11:43 time: 0.398530 data_time: 0.024695 memory: 15677 loss_kpt: 0.016592 acc_pose: 0.735072 loss: 0.016592 2022/10/10 22:29:04 - mmengine - INFO - Epoch(train) [93][400/586] lr: 5.000000e-04 eta: 7:11:25 time: 0.398133 data_time: 0.029481 memory: 15677 loss_kpt: 0.017383 acc_pose: 0.706772 loss: 0.017383 2022/10/10 22:29:24 - mmengine - INFO - Epoch(train) [93][450/586] lr: 5.000000e-04 eta: 7:11:08 time: 0.403610 data_time: 0.024323 memory: 15677 loss_kpt: 0.017721 acc_pose: 0.713519 loss: 0.017721 2022/10/10 22:29:44 - mmengine - INFO - Epoch(train) [93][500/586] lr: 5.000000e-04 eta: 7:10:51 time: 0.396804 data_time: 0.027312 memory: 15677 loss_kpt: 0.017181 acc_pose: 0.687040 loss: 0.017181 2022/10/10 22:30:03 - mmengine - INFO - Epoch(train) [93][550/586] lr: 5.000000e-04 eta: 7:10:33 time: 0.397830 data_time: 0.025939 memory: 15677 loss_kpt: 0.017652 acc_pose: 0.785330 loss: 0.017652 2022/10/10 22:30:18 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:30:39 - mmengine - INFO - Epoch(train) [94][50/586] lr: 5.000000e-04 eta: 7:09:47 time: 0.421430 data_time: 0.035780 memory: 15677 loss_kpt: 0.017507 acc_pose: 0.674189 loss: 0.017507 2022/10/10 22:30:59 - mmengine - INFO - Epoch(train) [94][100/586] lr: 5.000000e-04 eta: 7:09:29 time: 0.398413 data_time: 0.026017 memory: 15677 loss_kpt: 0.017289 acc_pose: 0.596148 loss: 0.017289 2022/10/10 22:31:19 - mmengine - INFO - Epoch(train) [94][150/586] lr: 5.000000e-04 eta: 7:09:12 time: 0.403265 data_time: 0.028154 memory: 15677 loss_kpt: 0.017030 acc_pose: 0.725039 loss: 0.017030 2022/10/10 22:31:39 - mmengine - INFO - Epoch(train) [94][200/586] lr: 5.000000e-04 eta: 7:08:55 time: 0.399490 data_time: 0.026306 memory: 15677 loss_kpt: 0.017861 acc_pose: 0.584462 loss: 0.017861 2022/10/10 22:31:59 - mmengine - INFO - Epoch(train) [94][250/586] lr: 5.000000e-04 eta: 7:08:37 time: 0.399475 data_time: 0.025519 memory: 15677 loss_kpt: 0.016919 acc_pose: 0.673679 loss: 0.016919 2022/10/10 22:32:19 - mmengine - INFO - Epoch(train) [94][300/586] lr: 5.000000e-04 eta: 7:08:20 time: 0.401511 data_time: 0.026758 memory: 15677 loss_kpt: 0.017260 acc_pose: 0.688279 loss: 0.017260 2022/10/10 22:32:39 - mmengine - INFO - Epoch(train) [94][350/586] lr: 5.000000e-04 eta: 7:08:02 time: 0.397854 data_time: 0.024381 memory: 15677 loss_kpt: 0.017643 acc_pose: 0.715168 loss: 0.017643 2022/10/10 22:32:59 - mmengine - INFO - Epoch(train) [94][400/586] lr: 5.000000e-04 eta: 7:07:45 time: 0.395113 data_time: 0.025297 memory: 15677 loss_kpt: 0.017266 acc_pose: 0.636228 loss: 0.017266 2022/10/10 22:33:19 - mmengine - INFO - Epoch(train) [94][450/586] lr: 5.000000e-04 eta: 7:07:27 time: 0.400479 data_time: 0.024275 memory: 15677 loss_kpt: 0.017589 acc_pose: 0.717858 loss: 0.017589 2022/10/10 22:33:38 - mmengine - INFO - Epoch(train) [94][500/586] lr: 5.000000e-04 eta: 7:07:10 time: 0.392791 data_time: 0.024675 memory: 15677 loss_kpt: 0.017685 acc_pose: 0.746311 loss: 0.017685 2022/10/10 22:33:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:33:59 - mmengine - INFO - Epoch(train) [94][550/586] lr: 5.000000e-04 eta: 7:06:52 time: 0.401812 data_time: 0.025055 memory: 15677 loss_kpt: 0.017195 acc_pose: 0.657736 loss: 0.017195 2022/10/10 22:34:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:34:33 - mmengine - INFO - Epoch(train) [95][50/586] lr: 5.000000e-04 eta: 7:06:05 time: 0.407522 data_time: 0.033961 memory: 15677 loss_kpt: 0.016791 acc_pose: 0.664578 loss: 0.016791 2022/10/10 22:34:53 - mmengine - INFO - Epoch(train) [95][100/586] lr: 5.000000e-04 eta: 7:05:48 time: 0.406381 data_time: 0.033717 memory: 15677 loss_kpt: 0.017025 acc_pose: 0.660980 loss: 0.017025 2022/10/10 22:35:14 - mmengine - INFO - Epoch(train) [95][150/586] lr: 5.000000e-04 eta: 7:05:31 time: 0.400828 data_time: 0.026125 memory: 15677 loss_kpt: 0.016881 acc_pose: 0.735862 loss: 0.016881 2022/10/10 22:35:33 - mmengine - INFO - Epoch(train) [95][200/586] lr: 5.000000e-04 eta: 7:05:13 time: 0.393930 data_time: 0.024498 memory: 15677 loss_kpt: 0.017200 acc_pose: 0.668984 loss: 0.017200 2022/10/10 22:35:53 - mmengine - INFO - Epoch(train) [95][250/586] lr: 5.000000e-04 eta: 7:04:56 time: 0.399531 data_time: 0.024440 memory: 15677 loss_kpt: 0.017099 acc_pose: 0.640519 loss: 0.017099 2022/10/10 22:36:13 - mmengine - INFO - Epoch(train) [95][300/586] lr: 5.000000e-04 eta: 7:04:39 time: 0.405460 data_time: 0.027092 memory: 15677 loss_kpt: 0.017142 acc_pose: 0.731051 loss: 0.017142 2022/10/10 22:36:33 - mmengine - INFO - Epoch(train) [95][350/586] lr: 5.000000e-04 eta: 7:04:21 time: 0.394439 data_time: 0.024991 memory: 15677 loss_kpt: 0.017396 acc_pose: 0.689300 loss: 0.017396 2022/10/10 22:36:53 - mmengine - INFO - Epoch(train) [95][400/586] lr: 5.000000e-04 eta: 7:04:03 time: 0.394979 data_time: 0.022235 memory: 15677 loss_kpt: 0.017766 acc_pose: 0.713496 loss: 0.017766 2022/10/10 22:37:13 - mmengine - INFO - Epoch(train) [95][450/586] lr: 5.000000e-04 eta: 7:03:46 time: 0.398753 data_time: 0.023915 memory: 15677 loss_kpt: 0.017275 acc_pose: 0.608009 loss: 0.017275 2022/10/10 22:37:33 - mmengine - INFO - Epoch(train) [95][500/586] lr: 5.000000e-04 eta: 7:03:29 time: 0.402767 data_time: 0.023820 memory: 15677 loss_kpt: 0.017596 acc_pose: 0.725509 loss: 0.017596 2022/10/10 22:37:53 - mmengine - INFO - Epoch(train) [95][550/586] lr: 5.000000e-04 eta: 7:03:11 time: 0.401381 data_time: 0.026190 memory: 15677 loss_kpt: 0.017090 acc_pose: 0.646875 loss: 0.017090 2022/10/10 22:38:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:38:27 - mmengine - INFO - Epoch(train) [96][50/586] lr: 5.000000e-04 eta: 7:02:24 time: 0.403927 data_time: 0.031993 memory: 15677 loss_kpt: 0.017170 acc_pose: 0.632912 loss: 0.017170 2022/10/10 22:38:48 - mmengine - INFO - Epoch(train) [96][100/586] lr: 5.000000e-04 eta: 7:02:07 time: 0.406645 data_time: 0.029270 memory: 15677 loss_kpt: 0.017014 acc_pose: 0.593993 loss: 0.017014 2022/10/10 22:39:08 - mmengine - INFO - Epoch(train) [96][150/586] lr: 5.000000e-04 eta: 7:01:50 time: 0.407362 data_time: 0.028852 memory: 15677 loss_kpt: 0.017083 acc_pose: 0.707659 loss: 0.017083 2022/10/10 22:39:28 - mmengine - INFO - Epoch(train) [96][200/586] lr: 5.000000e-04 eta: 7:01:33 time: 0.397898 data_time: 0.024781 memory: 15677 loss_kpt: 0.016863 acc_pose: 0.713981 loss: 0.016863 2022/10/10 22:39:48 - mmengine - INFO - Epoch(train) [96][250/586] lr: 5.000000e-04 eta: 7:01:15 time: 0.395085 data_time: 0.026739 memory: 15677 loss_kpt: 0.017330 acc_pose: 0.546832 loss: 0.017330 2022/10/10 22:40:08 - mmengine - INFO - Epoch(train) [96][300/586] lr: 5.000000e-04 eta: 7:00:57 time: 0.395638 data_time: 0.027867 memory: 15677 loss_kpt: 0.017201 acc_pose: 0.639618 loss: 0.017201 2022/10/10 22:40:20 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:40:28 - mmengine - INFO - Epoch(train) [96][350/586] lr: 5.000000e-04 eta: 7:00:40 time: 0.404633 data_time: 0.028730 memory: 15677 loss_kpt: 0.017053 acc_pose: 0.726791 loss: 0.017053 2022/10/10 22:40:48 - mmengine - INFO - Epoch(train) [96][400/586] lr: 5.000000e-04 eta: 7:00:23 time: 0.403054 data_time: 0.026221 memory: 15677 loss_kpt: 0.016903 acc_pose: 0.671087 loss: 0.016903 2022/10/10 22:41:08 - mmengine - INFO - Epoch(train) [96][450/586] lr: 5.000000e-04 eta: 7:00:05 time: 0.392214 data_time: 0.026761 memory: 15677 loss_kpt: 0.017364 acc_pose: 0.615944 loss: 0.017364 2022/10/10 22:41:28 - mmengine - INFO - Epoch(train) [96][500/586] lr: 5.000000e-04 eta: 6:59:47 time: 0.396777 data_time: 0.025519 memory: 15677 loss_kpt: 0.017423 acc_pose: 0.743344 loss: 0.017423 2022/10/10 22:41:47 - mmengine - INFO - Epoch(train) [96][550/586] lr: 5.000000e-04 eta: 6:59:30 time: 0.398672 data_time: 0.024969 memory: 15677 loss_kpt: 0.017515 acc_pose: 0.718915 loss: 0.017515 2022/10/10 22:42:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:42:22 - mmengine - INFO - Epoch(train) [97][50/586] lr: 5.000000e-04 eta: 6:58:43 time: 0.411688 data_time: 0.037533 memory: 15677 loss_kpt: 0.017507 acc_pose: 0.706851 loss: 0.017507 2022/10/10 22:42:42 - mmengine - INFO - Epoch(train) [97][100/586] lr: 5.000000e-04 eta: 6:58:26 time: 0.396410 data_time: 0.023588 memory: 15677 loss_kpt: 0.017002 acc_pose: 0.703432 loss: 0.017002 2022/10/10 22:43:02 - mmengine - INFO - Epoch(train) [97][150/586] lr: 5.000000e-04 eta: 6:58:08 time: 0.400143 data_time: 0.025192 memory: 15677 loss_kpt: 0.017081 acc_pose: 0.784197 loss: 0.017081 2022/10/10 22:43:22 - mmengine - INFO - Epoch(train) [97][200/586] lr: 5.000000e-04 eta: 6:57:51 time: 0.398920 data_time: 0.029906 memory: 15677 loss_kpt: 0.017300 acc_pose: 0.723964 loss: 0.017300 2022/10/10 22:43:42 - mmengine - INFO - Epoch(train) [97][250/586] lr: 5.000000e-04 eta: 6:57:33 time: 0.396644 data_time: 0.025219 memory: 15677 loss_kpt: 0.017601 acc_pose: 0.760432 loss: 0.017601 2022/10/10 22:44:02 - mmengine - INFO - Epoch(train) [97][300/586] lr: 5.000000e-04 eta: 6:57:16 time: 0.400048 data_time: 0.025289 memory: 15677 loss_kpt: 0.017696 acc_pose: 0.679925 loss: 0.017696 2022/10/10 22:44:22 - mmengine - INFO - Epoch(train) [97][350/586] lr: 5.000000e-04 eta: 6:56:58 time: 0.392920 data_time: 0.023205 memory: 15677 loss_kpt: 0.017556 acc_pose: 0.623887 loss: 0.017556 2022/10/10 22:44:42 - mmengine - INFO - Epoch(train) [97][400/586] lr: 5.000000e-04 eta: 6:56:41 time: 0.400513 data_time: 0.025762 memory: 15677 loss_kpt: 0.017154 acc_pose: 0.686014 loss: 0.017154 2022/10/10 22:45:02 - mmengine - INFO - Epoch(train) [97][450/586] lr: 5.000000e-04 eta: 6:56:24 time: 0.407557 data_time: 0.029575 memory: 15677 loss_kpt: 0.017249 acc_pose: 0.640655 loss: 0.017249 2022/10/10 22:45:22 - mmengine - INFO - Epoch(train) [97][500/586] lr: 5.000000e-04 eta: 6:56:06 time: 0.402231 data_time: 0.023939 memory: 15677 loss_kpt: 0.017320 acc_pose: 0.644317 loss: 0.017320 2022/10/10 22:45:42 - mmengine - INFO - Epoch(train) [97][550/586] lr: 5.000000e-04 eta: 6:55:48 time: 0.393021 data_time: 0.023745 memory: 15677 loss_kpt: 0.017178 acc_pose: 0.647443 loss: 0.017178 2022/10/10 22:45:56 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:46:17 - mmengine - INFO - Epoch(train) [98][50/586] lr: 5.000000e-04 eta: 6:55:03 time: 0.421172 data_time: 0.044386 memory: 15677 loss_kpt: 0.017007 acc_pose: 0.753328 loss: 0.017007 2022/10/10 22:46:37 - mmengine - INFO - Epoch(train) [98][100/586] lr: 5.000000e-04 eta: 6:54:45 time: 0.401512 data_time: 0.027222 memory: 15677 loss_kpt: 0.017414 acc_pose: 0.688710 loss: 0.017414 2022/10/10 22:46:57 - mmengine - INFO - Epoch(train) [98][150/586] lr: 5.000000e-04 eta: 6:54:28 time: 0.396702 data_time: 0.025573 memory: 15677 loss_kpt: 0.017353 acc_pose: 0.702863 loss: 0.017353 2022/10/10 22:47:00 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:47:17 - mmengine - INFO - Epoch(train) [98][200/586] lr: 5.000000e-04 eta: 6:54:10 time: 0.396020 data_time: 0.024392 memory: 15677 loss_kpt: 0.017337 acc_pose: 0.800219 loss: 0.017337 2022/10/10 22:47:37 - mmengine - INFO - Epoch(train) [98][250/586] lr: 5.000000e-04 eta: 6:53:53 time: 0.404984 data_time: 0.026460 memory: 15677 loss_kpt: 0.017069 acc_pose: 0.719928 loss: 0.017069 2022/10/10 22:47:57 - mmengine - INFO - Epoch(train) [98][300/586] lr: 5.000000e-04 eta: 6:53:36 time: 0.404917 data_time: 0.028982 memory: 15677 loss_kpt: 0.017455 acc_pose: 0.600072 loss: 0.017455 2022/10/10 22:48:17 - mmengine - INFO - Epoch(train) [98][350/586] lr: 5.000000e-04 eta: 6:53:18 time: 0.402526 data_time: 0.024589 memory: 15677 loss_kpt: 0.016997 acc_pose: 0.711126 loss: 0.016997 2022/10/10 22:48:37 - mmengine - INFO - Epoch(train) [98][400/586] lr: 5.000000e-04 eta: 6:53:01 time: 0.401364 data_time: 0.026021 memory: 15677 loss_kpt: 0.017246 acc_pose: 0.728255 loss: 0.017246 2022/10/10 22:48:57 - mmengine - INFO - Epoch(train) [98][450/586] lr: 5.000000e-04 eta: 6:52:43 time: 0.395635 data_time: 0.025554 memory: 15677 loss_kpt: 0.017541 acc_pose: 0.687875 loss: 0.017541 2022/10/10 22:49:18 - mmengine - INFO - Epoch(train) [98][500/586] lr: 5.000000e-04 eta: 6:52:26 time: 0.405639 data_time: 0.028061 memory: 15677 loss_kpt: 0.016546 acc_pose: 0.615786 loss: 0.016546 2022/10/10 22:49:38 - mmengine - INFO - Epoch(train) [98][550/586] lr: 5.000000e-04 eta: 6:52:09 time: 0.400340 data_time: 0.027054 memory: 15677 loss_kpt: 0.016986 acc_pose: 0.643790 loss: 0.016986 2022/10/10 22:49:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:50:12 - mmengine - INFO - Epoch(train) [99][50/586] lr: 5.000000e-04 eta: 6:51:23 time: 0.408266 data_time: 0.032026 memory: 15677 loss_kpt: 0.017465 acc_pose: 0.673717 loss: 0.017465 2022/10/10 22:50:32 - mmengine - INFO - Epoch(train) [99][100/586] lr: 5.000000e-04 eta: 6:51:05 time: 0.394653 data_time: 0.024952 memory: 15677 loss_kpt: 0.017483 acc_pose: 0.722899 loss: 0.017483 2022/10/10 22:50:52 - mmengine - INFO - Epoch(train) [99][150/586] lr: 5.000000e-04 eta: 6:50:48 time: 0.409111 data_time: 0.028290 memory: 15677 loss_kpt: 0.017316 acc_pose: 0.719066 loss: 0.017316 2022/10/10 22:51:13 - mmengine - INFO - Epoch(train) [99][200/586] lr: 5.000000e-04 eta: 6:50:31 time: 0.401351 data_time: 0.025115 memory: 15677 loss_kpt: 0.017593 acc_pose: 0.735049 loss: 0.017593 2022/10/10 22:51:32 - mmengine - INFO - Epoch(train) [99][250/586] lr: 5.000000e-04 eta: 6:50:13 time: 0.395667 data_time: 0.023831 memory: 15677 loss_kpt: 0.017192 acc_pose: 0.682668 loss: 0.017192 2022/10/10 22:51:52 - mmengine - INFO - Epoch(train) [99][300/586] lr: 5.000000e-04 eta: 6:49:55 time: 0.395309 data_time: 0.027158 memory: 15677 loss_kpt: 0.017367 acc_pose: 0.683120 loss: 0.017367 2022/10/10 22:52:12 - mmengine - INFO - Epoch(train) [99][350/586] lr: 5.000000e-04 eta: 6:49:38 time: 0.407732 data_time: 0.030527 memory: 15677 loss_kpt: 0.017288 acc_pose: 0.727620 loss: 0.017288 2022/10/10 22:52:33 - mmengine - INFO - Epoch(train) [99][400/586] lr: 5.000000e-04 eta: 6:49:21 time: 0.402743 data_time: 0.025244 memory: 15677 loss_kpt: 0.017418 acc_pose: 0.686079 loss: 0.017418 2022/10/10 22:52:53 - mmengine - INFO - Epoch(train) [99][450/586] lr: 5.000000e-04 eta: 6:49:03 time: 0.401274 data_time: 0.024989 memory: 15677 loss_kpt: 0.016828 acc_pose: 0.713779 loss: 0.016828 2022/10/10 22:53:13 - mmengine - INFO - Epoch(train) [99][500/586] lr: 5.000000e-04 eta: 6:48:46 time: 0.398924 data_time: 0.027502 memory: 15677 loss_kpt: 0.017050 acc_pose: 0.684053 loss: 0.017050 2022/10/10 22:53:33 - mmengine - INFO - Epoch(train) [99][550/586] lr: 5.000000e-04 eta: 6:48:28 time: 0.397815 data_time: 0.024458 memory: 15677 loss_kpt: 0.016737 acc_pose: 0.720885 loss: 0.016737 2022/10/10 22:53:41 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:53:47 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:54:08 - mmengine - INFO - Epoch(train) [100][50/586] lr: 5.000000e-04 eta: 6:47:43 time: 0.415201 data_time: 0.040109 memory: 15677 loss_kpt: 0.017691 acc_pose: 0.711097 loss: 0.017691 2022/10/10 22:54:28 - mmengine - INFO - Epoch(train) [100][100/586] lr: 5.000000e-04 eta: 6:47:25 time: 0.400485 data_time: 0.026236 memory: 15677 loss_kpt: 0.017237 acc_pose: 0.581468 loss: 0.017237 2022/10/10 22:54:48 - mmengine - INFO - Epoch(train) [100][150/586] lr: 5.000000e-04 eta: 6:47:08 time: 0.398661 data_time: 0.024583 memory: 15677 loss_kpt: 0.017225 acc_pose: 0.634298 loss: 0.017225 2022/10/10 22:55:07 - mmengine - INFO - Epoch(train) [100][200/586] lr: 5.000000e-04 eta: 6:46:50 time: 0.397864 data_time: 0.024225 memory: 15677 loss_kpt: 0.017048 acc_pose: 0.701241 loss: 0.017048 2022/10/10 22:55:28 - mmengine - INFO - Epoch(train) [100][250/586] lr: 5.000000e-04 eta: 6:46:33 time: 0.406690 data_time: 0.031173 memory: 15677 loss_kpt: 0.016771 acc_pose: 0.659224 loss: 0.016771 2022/10/10 22:55:48 - mmengine - INFO - Epoch(train) [100][300/586] lr: 5.000000e-04 eta: 6:46:15 time: 0.398266 data_time: 0.025258 memory: 15677 loss_kpt: 0.017169 acc_pose: 0.768431 loss: 0.017169 2022/10/10 22:56:08 - mmengine - INFO - Epoch(train) [100][350/586] lr: 5.000000e-04 eta: 6:45:57 time: 0.396324 data_time: 0.026260 memory: 15677 loss_kpt: 0.017049 acc_pose: 0.764128 loss: 0.017049 2022/10/10 22:56:28 - mmengine - INFO - Epoch(train) [100][400/586] lr: 5.000000e-04 eta: 6:45:40 time: 0.399348 data_time: 0.031109 memory: 15677 loss_kpt: 0.017153 acc_pose: 0.709950 loss: 0.017153 2022/10/10 22:56:48 - mmengine - INFO - Epoch(train) [100][450/586] lr: 5.000000e-04 eta: 6:45:23 time: 0.403874 data_time: 0.031327 memory: 15677 loss_kpt: 0.017458 acc_pose: 0.678204 loss: 0.017458 2022/10/10 22:57:08 - mmengine - INFO - Epoch(train) [100][500/586] lr: 5.000000e-04 eta: 6:45:05 time: 0.401861 data_time: 0.025333 memory: 15677 loss_kpt: 0.016986 acc_pose: 0.713852 loss: 0.016986 2022/10/10 22:57:27 - mmengine - INFO - Epoch(train) [100][550/586] lr: 5.000000e-04 eta: 6:44:47 time: 0.392151 data_time: 0.026854 memory: 15677 loss_kpt: 0.017152 acc_pose: 0.674060 loss: 0.017152 2022/10/10 22:57:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 22:57:42 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/10/10 22:57:54 - mmengine - INFO - Epoch(val) [100][50/407] eta: 0:01:10 time: 0.196516 data_time: 0.014551 memory: 15677 2022/10/10 22:58:04 - mmengine - INFO - Epoch(val) [100][100/407] eta: 0:00:59 time: 0.193262 data_time: 0.011776 memory: 4213 2022/10/10 22:58:13 - mmengine - INFO - Epoch(val) [100][150/407] eta: 0:00:49 time: 0.191035 data_time: 0.009386 memory: 4213 2022/10/10 22:58:23 - mmengine - INFO - Epoch(val) [100][200/407] eta: 0:00:39 time: 0.189988 data_time: 0.009022 memory: 4213 2022/10/10 22:58:32 - mmengine - INFO - Epoch(val) [100][250/407] eta: 0:00:29 time: 0.190972 data_time: 0.009331 memory: 4213 2022/10/10 22:58:42 - mmengine - INFO - Epoch(val) [100][300/407] eta: 0:00:20 time: 0.194754 data_time: 0.008930 memory: 4213 2022/10/10 22:58:52 - mmengine - INFO - Epoch(val) [100][350/407] eta: 0:00:10 time: 0.191302 data_time: 0.009264 memory: 4213 2022/10/10 22:59:01 - mmengine - INFO - Epoch(val) [100][400/407] eta: 0:00:01 time: 0.189739 data_time: 0.009125 memory: 4213 2022/10/10 22:59:34 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 22:59:46 - mmengine - INFO - Epoch(val) [100][407/407] coco/AP: 0.616972 coco/AP .5: 0.848377 coco/AP .75: 0.686459 coco/AP (M): 0.589354 coco/AP (L): 0.676472 coco/AR: 0.677015 coco/AR .5: 0.893419 coco/AR .75: 0.743073 coco/AR (M): 0.637995 coco/AR (L): 0.732590 2022/10/10 23:00:07 - mmengine - INFO - Epoch(train) [101][50/586] lr: 5.000000e-04 eta: 6:44:01 time: 0.405816 data_time: 0.033626 memory: 15677 loss_kpt: 0.017409 acc_pose: 0.769963 loss: 0.017409 2022/10/10 23:00:26 - mmengine - INFO - Epoch(train) [101][100/586] lr: 5.000000e-04 eta: 6:43:44 time: 0.398463 data_time: 0.026102 memory: 15677 loss_kpt: 0.017000 acc_pose: 0.608580 loss: 0.017000 2022/10/10 23:00:47 - mmengine - INFO - Epoch(train) [101][150/586] lr: 5.000000e-04 eta: 6:43:27 time: 0.403719 data_time: 0.029526 memory: 15677 loss_kpt: 0.016742 acc_pose: 0.638786 loss: 0.016742 2022/10/10 23:01:06 - mmengine - INFO - Epoch(train) [101][200/586] lr: 5.000000e-04 eta: 6:43:09 time: 0.392196 data_time: 0.024535 memory: 15677 loss_kpt: 0.017261 acc_pose: 0.690844 loss: 0.017261 2022/10/10 23:01:26 - mmengine - INFO - Epoch(train) [101][250/586] lr: 5.000000e-04 eta: 6:42:51 time: 0.402315 data_time: 0.026664 memory: 15677 loss_kpt: 0.017775 acc_pose: 0.620387 loss: 0.017775 2022/10/10 23:01:46 - mmengine - INFO - Epoch(train) [101][300/586] lr: 5.000000e-04 eta: 6:42:34 time: 0.399997 data_time: 0.024465 memory: 15677 loss_kpt: 0.017240 acc_pose: 0.646963 loss: 0.017240 2022/10/10 23:02:07 - mmengine - INFO - Epoch(train) [101][350/586] lr: 5.000000e-04 eta: 6:42:16 time: 0.403877 data_time: 0.031567 memory: 15677 loss_kpt: 0.017611 acc_pose: 0.691910 loss: 0.017611 2022/10/10 23:02:26 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:02:26 - mmengine - INFO - Epoch(train) [101][400/586] lr: 5.000000e-04 eta: 6:41:58 time: 0.394321 data_time: 0.026437 memory: 15677 loss_kpt: 0.017749 acc_pose: 0.636001 loss: 0.017749 2022/10/10 23:02:46 - mmengine - INFO - Epoch(train) [101][450/586] lr: 5.000000e-04 eta: 6:41:41 time: 0.397779 data_time: 0.026014 memory: 15677 loss_kpt: 0.017238 acc_pose: 0.666840 loss: 0.017238 2022/10/10 23:03:06 - mmengine - INFO - Epoch(train) [101][500/586] lr: 5.000000e-04 eta: 6:41:24 time: 0.405121 data_time: 0.027335 memory: 15677 loss_kpt: 0.016614 acc_pose: 0.602260 loss: 0.016614 2022/10/10 23:03:27 - mmengine - INFO - Epoch(train) [101][550/586] lr: 5.000000e-04 eta: 6:41:06 time: 0.403881 data_time: 0.026600 memory: 15677 loss_kpt: 0.017509 acc_pose: 0.802079 loss: 0.017509 2022/10/10 23:03:41 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:04:01 - mmengine - INFO - Epoch(train) [102][50/586] lr: 5.000000e-04 eta: 6:40:20 time: 0.399673 data_time: 0.032804 memory: 15677 loss_kpt: 0.017985 acc_pose: 0.627282 loss: 0.017985 2022/10/10 23:04:21 - mmengine - INFO - Epoch(train) [102][100/586] lr: 5.000000e-04 eta: 6:40:03 time: 0.397493 data_time: 0.025509 memory: 15677 loss_kpt: 0.016705 acc_pose: 0.762273 loss: 0.016705 2022/10/10 23:04:41 - mmengine - INFO - Epoch(train) [102][150/586] lr: 5.000000e-04 eta: 6:39:45 time: 0.401733 data_time: 0.026325 memory: 15677 loss_kpt: 0.016857 acc_pose: 0.768335 loss: 0.016857 2022/10/10 23:05:01 - mmengine - INFO - Epoch(train) [102][200/586] lr: 5.000000e-04 eta: 6:39:28 time: 0.408613 data_time: 0.030270 memory: 15677 loss_kpt: 0.017076 acc_pose: 0.658280 loss: 0.017076 2022/10/10 23:05:21 - mmengine - INFO - Epoch(train) [102][250/586] lr: 5.000000e-04 eta: 6:39:10 time: 0.393131 data_time: 0.025560 memory: 15677 loss_kpt: 0.017002 acc_pose: 0.702167 loss: 0.017002 2022/10/10 23:05:41 - mmengine - INFO - Epoch(train) [102][300/586] lr: 5.000000e-04 eta: 6:38:53 time: 0.400634 data_time: 0.025815 memory: 15677 loss_kpt: 0.016643 acc_pose: 0.718011 loss: 0.016643 2022/10/10 23:06:01 - mmengine - INFO - Epoch(train) [102][350/586] lr: 5.000000e-04 eta: 6:38:35 time: 0.396019 data_time: 0.024246 memory: 15677 loss_kpt: 0.016999 acc_pose: 0.637929 loss: 0.016999 2022/10/10 23:06:21 - mmengine - INFO - Epoch(train) [102][400/586] lr: 5.000000e-04 eta: 6:38:17 time: 0.400247 data_time: 0.025803 memory: 15677 loss_kpt: 0.017093 acc_pose: 0.708499 loss: 0.017093 2022/10/10 23:06:41 - mmengine - INFO - Epoch(train) [102][450/586] lr: 5.000000e-04 eta: 6:38:00 time: 0.400951 data_time: 0.024697 memory: 15677 loss_kpt: 0.017121 acc_pose: 0.770464 loss: 0.017121 2022/10/10 23:07:00 - mmengine - INFO - Epoch(train) [102][500/586] lr: 5.000000e-04 eta: 6:37:42 time: 0.393216 data_time: 0.023771 memory: 15677 loss_kpt: 0.017004 acc_pose: 0.740756 loss: 0.017004 2022/10/10 23:07:21 - mmengine - INFO - Epoch(train) [102][550/586] lr: 5.000000e-04 eta: 6:37:24 time: 0.400526 data_time: 0.026673 memory: 15677 loss_kpt: 0.016964 acc_pose: 0.697472 loss: 0.016964 2022/10/10 23:07:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:07:55 - mmengine - INFO - Epoch(train) [103][50/586] lr: 5.000000e-04 eta: 6:36:39 time: 0.404577 data_time: 0.033525 memory: 15677 loss_kpt: 0.016801 acc_pose: 0.688477 loss: 0.016801 2022/10/10 23:08:15 - mmengine - INFO - Epoch(train) [103][100/586] lr: 5.000000e-04 eta: 6:36:22 time: 0.398847 data_time: 0.026010 memory: 15677 loss_kpt: 0.017631 acc_pose: 0.743048 loss: 0.017631 2022/10/10 23:08:35 - mmengine - INFO - Epoch(train) [103][150/586] lr: 5.000000e-04 eta: 6:36:04 time: 0.395991 data_time: 0.027074 memory: 15677 loss_kpt: 0.017059 acc_pose: 0.691242 loss: 0.017059 2022/10/10 23:08:55 - mmengine - INFO - Epoch(train) [103][200/586] lr: 5.000000e-04 eta: 6:35:46 time: 0.401715 data_time: 0.026323 memory: 15677 loss_kpt: 0.016779 acc_pose: 0.686623 loss: 0.016779 2022/10/10 23:09:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:09:15 - mmengine - INFO - Epoch(train) [103][250/586] lr: 5.000000e-04 eta: 6:35:29 time: 0.402118 data_time: 0.026929 memory: 15677 loss_kpt: 0.017098 acc_pose: 0.706339 loss: 0.017098 2022/10/10 23:09:35 - mmengine - INFO - Epoch(train) [103][300/586] lr: 5.000000e-04 eta: 6:35:11 time: 0.401216 data_time: 0.033084 memory: 15677 loss_kpt: 0.016846 acc_pose: 0.668403 loss: 0.016846 2022/10/10 23:09:55 - mmengine - INFO - Epoch(train) [103][350/586] lr: 5.000000e-04 eta: 6:34:53 time: 0.394624 data_time: 0.029380 memory: 15677 loss_kpt: 0.017220 acc_pose: 0.648806 loss: 0.017220 2022/10/10 23:10:15 - mmengine - INFO - Epoch(train) [103][400/586] lr: 5.000000e-04 eta: 6:34:36 time: 0.404535 data_time: 0.026916 memory: 15677 loss_kpt: 0.017657 acc_pose: 0.775004 loss: 0.017657 2022/10/10 23:10:35 - mmengine - INFO - Epoch(train) [103][450/586] lr: 5.000000e-04 eta: 6:34:19 time: 0.402487 data_time: 0.025179 memory: 15677 loss_kpt: 0.016846 acc_pose: 0.663215 loss: 0.016846 2022/10/10 23:10:55 - mmengine - INFO - Epoch(train) [103][500/586] lr: 5.000000e-04 eta: 6:34:01 time: 0.395235 data_time: 0.025623 memory: 15677 loss_kpt: 0.017734 acc_pose: 0.658570 loss: 0.017734 2022/10/10 23:11:15 - mmengine - INFO - Epoch(train) [103][550/586] lr: 5.000000e-04 eta: 6:33:43 time: 0.398956 data_time: 0.027742 memory: 15677 loss_kpt: 0.017316 acc_pose: 0.695552 loss: 0.017316 2022/10/10 23:11:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:11:49 - mmengine - INFO - Epoch(train) [104][50/586] lr: 5.000000e-04 eta: 6:32:58 time: 0.406217 data_time: 0.030290 memory: 15677 loss_kpt: 0.017419 acc_pose: 0.502611 loss: 0.017419 2022/10/10 23:12:09 - mmengine - INFO - Epoch(train) [104][100/586] lr: 5.000000e-04 eta: 6:32:40 time: 0.398441 data_time: 0.023003 memory: 15677 loss_kpt: 0.017150 acc_pose: 0.685501 loss: 0.017150 2022/10/10 23:12:29 - mmengine - INFO - Epoch(train) [104][150/586] lr: 5.000000e-04 eta: 6:32:23 time: 0.395269 data_time: 0.029221 memory: 15677 loss_kpt: 0.017420 acc_pose: 0.688299 loss: 0.017420 2022/10/10 23:12:49 - mmengine - INFO - Epoch(train) [104][200/586] lr: 5.000000e-04 eta: 6:32:05 time: 0.402015 data_time: 0.023469 memory: 15677 loss_kpt: 0.016728 acc_pose: 0.629459 loss: 0.016728 2022/10/10 23:13:09 - mmengine - INFO - Epoch(train) [104][250/586] lr: 5.000000e-04 eta: 6:31:47 time: 0.398429 data_time: 0.024850 memory: 15677 loss_kpt: 0.017102 acc_pose: 0.647954 loss: 0.017102 2022/10/10 23:13:29 - mmengine - INFO - Epoch(train) [104][300/586] lr: 5.000000e-04 eta: 6:31:29 time: 0.393402 data_time: 0.026646 memory: 15677 loss_kpt: 0.017454 acc_pose: 0.640950 loss: 0.017454 2022/10/10 23:13:49 - mmengine - INFO - Epoch(train) [104][350/586] lr: 5.000000e-04 eta: 6:31:12 time: 0.406161 data_time: 0.029528 memory: 15677 loss_kpt: 0.016810 acc_pose: 0.691378 loss: 0.016810 2022/10/10 23:14:09 - mmengine - INFO - Epoch(train) [104][400/586] lr: 5.000000e-04 eta: 6:30:54 time: 0.394031 data_time: 0.026403 memory: 15677 loss_kpt: 0.016879 acc_pose: 0.663741 loss: 0.016879 2022/10/10 23:14:29 - mmengine - INFO - Epoch(train) [104][450/586] lr: 5.000000e-04 eta: 6:30:37 time: 0.399346 data_time: 0.025926 memory: 15677 loss_kpt: 0.016780 acc_pose: 0.652562 loss: 0.016780 2022/10/10 23:14:49 - mmengine - INFO - Epoch(train) [104][500/586] lr: 5.000000e-04 eta: 6:30:19 time: 0.399441 data_time: 0.022167 memory: 15677 loss_kpt: 0.016895 acc_pose: 0.642582 loss: 0.016895 2022/10/10 23:15:09 - mmengine - INFO - Epoch(train) [104][550/586] lr: 5.000000e-04 eta: 6:30:01 time: 0.402240 data_time: 0.027165 memory: 15677 loss_kpt: 0.017335 acc_pose: 0.678355 loss: 0.017335 2022/10/10 23:15:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:15:43 - mmengine - INFO - Epoch(train) [105][50/586] lr: 5.000000e-04 eta: 6:29:17 time: 0.403057 data_time: 0.030456 memory: 15677 loss_kpt: 0.017524 acc_pose: 0.669950 loss: 0.017524 2022/10/10 23:15:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:16:03 - mmengine - INFO - Epoch(train) [105][100/586] lr: 5.000000e-04 eta: 6:28:59 time: 0.396344 data_time: 0.023596 memory: 15677 loss_kpt: 0.016853 acc_pose: 0.686767 loss: 0.016853 2022/10/10 23:16:23 - mmengine - INFO - Epoch(train) [105][150/586] lr: 5.000000e-04 eta: 6:28:41 time: 0.404207 data_time: 0.025783 memory: 15677 loss_kpt: 0.017654 acc_pose: 0.766055 loss: 0.017654 2022/10/10 23:16:43 - mmengine - INFO - Epoch(train) [105][200/586] lr: 5.000000e-04 eta: 6:28:24 time: 0.399930 data_time: 0.022971 memory: 15677 loss_kpt: 0.016976 acc_pose: 0.631443 loss: 0.016976 2022/10/10 23:17:03 - mmengine - INFO - Epoch(train) [105][250/586] lr: 5.000000e-04 eta: 6:28:06 time: 0.398989 data_time: 0.024513 memory: 15677 loss_kpt: 0.016595 acc_pose: 0.703525 loss: 0.016595 2022/10/10 23:17:23 - mmengine - INFO - Epoch(train) [105][300/586] lr: 5.000000e-04 eta: 6:27:48 time: 0.399086 data_time: 0.022889 memory: 15677 loss_kpt: 0.017375 acc_pose: 0.753254 loss: 0.017375 2022/10/10 23:17:43 - mmengine - INFO - Epoch(train) [105][350/586] lr: 5.000000e-04 eta: 6:27:31 time: 0.398065 data_time: 0.023634 memory: 15677 loss_kpt: 0.017479 acc_pose: 0.634199 loss: 0.017479 2022/10/10 23:18:03 - mmengine - INFO - Epoch(train) [105][400/586] lr: 5.000000e-04 eta: 6:27:13 time: 0.397072 data_time: 0.025224 memory: 15677 loss_kpt: 0.016952 acc_pose: 0.720595 loss: 0.016952 2022/10/10 23:18:23 - mmengine - INFO - Epoch(train) [105][450/586] lr: 5.000000e-04 eta: 6:26:55 time: 0.403458 data_time: 0.030832 memory: 15677 loss_kpt: 0.017239 acc_pose: 0.759566 loss: 0.017239 2022/10/10 23:18:43 - mmengine - INFO - Epoch(train) [105][500/586] lr: 5.000000e-04 eta: 6:26:38 time: 0.397406 data_time: 0.023161 memory: 15677 loss_kpt: 0.017010 acc_pose: 0.676706 loss: 0.017010 2022/10/10 23:19:03 - mmengine - INFO - Epoch(train) [105][550/586] lr: 5.000000e-04 eta: 6:26:20 time: 0.404658 data_time: 0.025306 memory: 15677 loss_kpt: 0.016687 acc_pose: 0.632016 loss: 0.016687 2022/10/10 23:19:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:19:38 - mmengine - INFO - Epoch(train) [106][50/586] lr: 5.000000e-04 eta: 6:25:36 time: 0.409708 data_time: 0.032034 memory: 15677 loss_kpt: 0.016936 acc_pose: 0.724568 loss: 0.016936 2022/10/10 23:19:58 - mmengine - INFO - Epoch(train) [106][100/586] lr: 5.000000e-04 eta: 6:25:18 time: 0.395925 data_time: 0.029314 memory: 15677 loss_kpt: 0.017060 acc_pose: 0.702648 loss: 0.017060 2022/10/10 23:20:18 - mmengine - INFO - Epoch(train) [106][150/586] lr: 5.000000e-04 eta: 6:25:00 time: 0.398003 data_time: 0.024685 memory: 15677 loss_kpt: 0.017280 acc_pose: 0.718579 loss: 0.017280 2022/10/10 23:20:37 - mmengine - INFO - Epoch(train) [106][200/586] lr: 5.000000e-04 eta: 6:24:43 time: 0.396678 data_time: 0.026507 memory: 15677 loss_kpt: 0.016752 acc_pose: 0.665898 loss: 0.016752 2022/10/10 23:20:58 - mmengine - INFO - Epoch(train) [106][250/586] lr: 5.000000e-04 eta: 6:24:25 time: 0.401292 data_time: 0.027655 memory: 15677 loss_kpt: 0.017393 acc_pose: 0.709864 loss: 0.017393 2022/10/10 23:21:18 - mmengine - INFO - Epoch(train) [106][300/586] lr: 5.000000e-04 eta: 6:24:08 time: 0.404651 data_time: 0.025674 memory: 15677 loss_kpt: 0.017098 acc_pose: 0.733023 loss: 0.017098 2022/10/10 23:21:38 - mmengine - INFO - Epoch(train) [106][350/586] lr: 5.000000e-04 eta: 6:23:50 time: 0.398343 data_time: 0.025168 memory: 15677 loss_kpt: 0.017039 acc_pose: 0.717930 loss: 0.017039 2022/10/10 23:21:58 - mmengine - INFO - Epoch(train) [106][400/586] lr: 5.000000e-04 eta: 6:23:32 time: 0.396262 data_time: 0.025738 memory: 15677 loss_kpt: 0.017138 acc_pose: 0.769309 loss: 0.017138 2022/10/10 23:22:18 - mmengine - INFO - Epoch(train) [106][450/586] lr: 5.000000e-04 eta: 6:23:15 time: 0.404015 data_time: 0.025471 memory: 15677 loss_kpt: 0.016645 acc_pose: 0.616619 loss: 0.016645 2022/10/10 23:22:26 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:22:38 - mmengine - INFO - Epoch(train) [106][500/586] lr: 5.000000e-04 eta: 6:22:57 time: 0.401026 data_time: 0.028164 memory: 15677 loss_kpt: 0.017163 acc_pose: 0.629952 loss: 0.017163 2022/10/10 23:22:58 - mmengine - INFO - Epoch(train) [106][550/586] lr: 5.000000e-04 eta: 6:22:39 time: 0.394918 data_time: 0.026563 memory: 15677 loss_kpt: 0.017189 acc_pose: 0.629572 loss: 0.017189 2022/10/10 23:23:12 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:23:32 - mmengine - INFO - Epoch(train) [107][50/586] lr: 5.000000e-04 eta: 6:21:55 time: 0.402794 data_time: 0.033325 memory: 15677 loss_kpt: 0.017332 acc_pose: 0.747384 loss: 0.017332 2022/10/10 23:23:52 - mmengine - INFO - Epoch(train) [107][100/586] lr: 5.000000e-04 eta: 6:21:37 time: 0.397625 data_time: 0.024616 memory: 15677 loss_kpt: 0.016511 acc_pose: 0.666101 loss: 0.016511 2022/10/10 23:24:12 - mmengine - INFO - Epoch(train) [107][150/586] lr: 5.000000e-04 eta: 6:21:20 time: 0.405925 data_time: 0.029793 memory: 15677 loss_kpt: 0.017030 acc_pose: 0.671664 loss: 0.017030 2022/10/10 23:24:32 - mmengine - INFO - Epoch(train) [107][200/586] lr: 5.000000e-04 eta: 6:21:02 time: 0.403259 data_time: 0.029816 memory: 15677 loss_kpt: 0.017134 acc_pose: 0.676226 loss: 0.017134 2022/10/10 23:24:52 - mmengine - INFO - Epoch(train) [107][250/586] lr: 5.000000e-04 eta: 6:20:44 time: 0.394874 data_time: 0.024387 memory: 15677 loss_kpt: 0.017072 acc_pose: 0.702398 loss: 0.017072 2022/10/10 23:25:12 - mmengine - INFO - Epoch(train) [107][300/586] lr: 5.000000e-04 eta: 6:20:27 time: 0.403081 data_time: 0.027147 memory: 15677 loss_kpt: 0.016995 acc_pose: 0.696376 loss: 0.016995 2022/10/10 23:25:33 - mmengine - INFO - Epoch(train) [107][350/586] lr: 5.000000e-04 eta: 6:20:09 time: 0.407064 data_time: 0.029934 memory: 15677 loss_kpt: 0.017282 acc_pose: 0.684604 loss: 0.017282 2022/10/10 23:25:53 - mmengine - INFO - Epoch(train) [107][400/586] lr: 5.000000e-04 eta: 6:19:51 time: 0.398036 data_time: 0.026751 memory: 15677 loss_kpt: 0.016867 acc_pose: 0.692110 loss: 0.016867 2022/10/10 23:26:12 - mmengine - INFO - Epoch(train) [107][450/586] lr: 5.000000e-04 eta: 6:19:34 time: 0.394651 data_time: 0.025212 memory: 15677 loss_kpt: 0.016537 acc_pose: 0.653345 loss: 0.016537 2022/10/10 23:26:32 - mmengine - INFO - Epoch(train) [107][500/586] lr: 5.000000e-04 eta: 6:19:15 time: 0.391839 data_time: 0.026743 memory: 15677 loss_kpt: 0.016837 acc_pose: 0.732640 loss: 0.016837 2022/10/10 23:26:52 - mmengine - INFO - Epoch(train) [107][550/586] lr: 5.000000e-04 eta: 6:18:58 time: 0.408840 data_time: 0.029705 memory: 15677 loss_kpt: 0.017613 acc_pose: 0.655094 loss: 0.017613 2022/10/10 23:27:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:27:27 - mmengine - INFO - Epoch(train) [108][50/586] lr: 5.000000e-04 eta: 6:18:14 time: 0.400915 data_time: 0.032019 memory: 15677 loss_kpt: 0.016992 acc_pose: 0.708273 loss: 0.016992 2022/10/10 23:27:47 - mmengine - INFO - Epoch(train) [108][100/586] lr: 5.000000e-04 eta: 6:17:56 time: 0.398431 data_time: 0.024386 memory: 15677 loss_kpt: 0.017410 acc_pose: 0.700405 loss: 0.017410 2022/10/10 23:28:07 - mmengine - INFO - Epoch(train) [108][150/586] lr: 5.000000e-04 eta: 6:17:39 time: 0.400227 data_time: 0.028084 memory: 15677 loss_kpt: 0.016556 acc_pose: 0.701554 loss: 0.016556 2022/10/10 23:28:27 - mmengine - INFO - Epoch(train) [108][200/586] lr: 5.000000e-04 eta: 6:17:21 time: 0.402218 data_time: 0.025393 memory: 15677 loss_kpt: 0.017267 acc_pose: 0.739598 loss: 0.017267 2022/10/10 23:28:47 - mmengine - INFO - Epoch(train) [108][250/586] lr: 5.000000e-04 eta: 6:17:03 time: 0.396610 data_time: 0.024833 memory: 15677 loss_kpt: 0.017020 acc_pose: 0.694263 loss: 0.017020 2022/10/10 23:29:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:29:06 - mmengine - INFO - Epoch(train) [108][300/586] lr: 5.000000e-04 eta: 6:16:45 time: 0.398779 data_time: 0.024104 memory: 15677 loss_kpt: 0.017421 acc_pose: 0.609218 loss: 0.017421 2022/10/10 23:29:26 - mmengine - INFO - Epoch(train) [108][350/586] lr: 5.000000e-04 eta: 6:16:27 time: 0.393574 data_time: 0.024729 memory: 15677 loss_kpt: 0.016785 acc_pose: 0.711006 loss: 0.016785 2022/10/10 23:29:46 - mmengine - INFO - Epoch(train) [108][400/586] lr: 5.000000e-04 eta: 6:16:10 time: 0.404223 data_time: 0.024170 memory: 15677 loss_kpt: 0.016909 acc_pose: 0.665663 loss: 0.016909 2022/10/10 23:30:06 - mmengine - INFO - Epoch(train) [108][450/586] lr: 5.000000e-04 eta: 6:15:52 time: 0.395356 data_time: 0.023999 memory: 15677 loss_kpt: 0.017111 acc_pose: 0.705247 loss: 0.017111 2022/10/10 23:30:26 - mmengine - INFO - Epoch(train) [108][500/586] lr: 5.000000e-04 eta: 6:15:34 time: 0.395278 data_time: 0.028445 memory: 15677 loss_kpt: 0.017062 acc_pose: 0.739180 loss: 0.017062 2022/10/10 23:30:46 - mmengine - INFO - Epoch(train) [108][550/586] lr: 5.000000e-04 eta: 6:15:16 time: 0.398788 data_time: 0.023206 memory: 15677 loss_kpt: 0.017254 acc_pose: 0.584242 loss: 0.017254 2022/10/10 23:31:00 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:31:21 - mmengine - INFO - Epoch(train) [109][50/586] lr: 5.000000e-04 eta: 6:14:33 time: 0.417800 data_time: 0.035847 memory: 15677 loss_kpt: 0.017410 acc_pose: 0.651215 loss: 0.017410 2022/10/10 23:31:41 - mmengine - INFO - Epoch(train) [109][100/586] lr: 5.000000e-04 eta: 6:14:15 time: 0.390683 data_time: 0.026256 memory: 15677 loss_kpt: 0.017076 acc_pose: 0.598840 loss: 0.017076 2022/10/10 23:32:01 - mmengine - INFO - Epoch(train) [109][150/586] lr: 5.000000e-04 eta: 6:13:57 time: 0.395858 data_time: 0.023445 memory: 15677 loss_kpt: 0.016990 acc_pose: 0.654696 loss: 0.016990 2022/10/10 23:32:20 - mmengine - INFO - Epoch(train) [109][200/586] lr: 5.000000e-04 eta: 6:13:39 time: 0.397086 data_time: 0.024558 memory: 15677 loss_kpt: 0.016907 acc_pose: 0.679807 loss: 0.016907 2022/10/10 23:32:40 - mmengine - INFO - Epoch(train) [109][250/586] lr: 5.000000e-04 eta: 6:13:21 time: 0.400723 data_time: 0.026163 memory: 15677 loss_kpt: 0.017248 acc_pose: 0.658366 loss: 0.017248 2022/10/10 23:33:01 - mmengine - INFO - Epoch(train) [109][300/586] lr: 5.000000e-04 eta: 6:13:04 time: 0.403362 data_time: 0.025401 memory: 15677 loss_kpt: 0.016857 acc_pose: 0.647396 loss: 0.016857 2022/10/10 23:33:20 - mmengine - INFO - Epoch(train) [109][350/586] lr: 5.000000e-04 eta: 6:12:46 time: 0.393994 data_time: 0.025380 memory: 15677 loss_kpt: 0.016838 acc_pose: 0.661507 loss: 0.016838 2022/10/10 23:33:40 - mmengine - INFO - Epoch(train) [109][400/586] lr: 5.000000e-04 eta: 6:12:28 time: 0.395963 data_time: 0.025415 memory: 15677 loss_kpt: 0.017377 acc_pose: 0.645195 loss: 0.017377 2022/10/10 23:34:00 - mmengine - INFO - Epoch(train) [109][450/586] lr: 5.000000e-04 eta: 6:12:11 time: 0.405063 data_time: 0.024971 memory: 15677 loss_kpt: 0.017014 acc_pose: 0.687353 loss: 0.017014 2022/10/10 23:34:20 - mmengine - INFO - Epoch(train) [109][500/586] lr: 5.000000e-04 eta: 6:11:53 time: 0.399553 data_time: 0.024576 memory: 15677 loss_kpt: 0.016947 acc_pose: 0.722759 loss: 0.016947 2022/10/10 23:34:40 - mmengine - INFO - Epoch(train) [109][550/586] lr: 5.000000e-04 eta: 6:11:35 time: 0.397491 data_time: 0.023494 memory: 15677 loss_kpt: 0.016894 acc_pose: 0.767988 loss: 0.016894 2022/10/10 23:34:54 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:35:15 - mmengine - INFO - Epoch(train) [110][50/586] lr: 5.000000e-04 eta: 6:10:52 time: 0.414662 data_time: 0.032486 memory: 15677 loss_kpt: 0.016693 acc_pose: 0.619837 loss: 0.016693 2022/10/10 23:35:35 - mmengine - INFO - Epoch(train) [110][100/586] lr: 5.000000e-04 eta: 6:10:34 time: 0.401442 data_time: 0.029468 memory: 15677 loss_kpt: 0.017355 acc_pose: 0.652142 loss: 0.017355 2022/10/10 23:35:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:35:55 - mmengine - INFO - Epoch(train) [110][150/586] lr: 5.000000e-04 eta: 6:10:16 time: 0.398495 data_time: 0.024390 memory: 15677 loss_kpt: 0.016820 acc_pose: 0.729275 loss: 0.016820 2022/10/10 23:36:15 - mmengine - INFO - Epoch(train) [110][200/586] lr: 5.000000e-04 eta: 6:09:59 time: 0.401568 data_time: 0.029602 memory: 15677 loss_kpt: 0.016991 acc_pose: 0.788460 loss: 0.016991 2022/10/10 23:36:35 - mmengine - INFO - Epoch(train) [110][250/586] lr: 5.000000e-04 eta: 6:09:41 time: 0.394669 data_time: 0.027934 memory: 15677 loss_kpt: 0.017209 acc_pose: 0.678977 loss: 0.017209 2022/10/10 23:36:55 - mmengine - INFO - Epoch(train) [110][300/586] lr: 5.000000e-04 eta: 6:09:23 time: 0.408449 data_time: 0.031751 memory: 15677 loss_kpt: 0.016983 acc_pose: 0.607219 loss: 0.016983 2022/10/10 23:37:15 - mmengine - INFO - Epoch(train) [110][350/586] lr: 5.000000e-04 eta: 6:09:05 time: 0.395959 data_time: 0.026386 memory: 15677 loss_kpt: 0.017321 acc_pose: 0.709028 loss: 0.017321 2022/10/10 23:37:35 - mmengine - INFO - Epoch(train) [110][400/586] lr: 5.000000e-04 eta: 6:08:48 time: 0.401609 data_time: 0.025620 memory: 15677 loss_kpt: 0.017232 acc_pose: 0.682274 loss: 0.017232 2022/10/10 23:37:55 - mmengine - INFO - Epoch(train) [110][450/586] lr: 5.000000e-04 eta: 6:08:30 time: 0.393807 data_time: 0.024156 memory: 15677 loss_kpt: 0.016492 acc_pose: 0.688776 loss: 0.016492 2022/10/10 23:38:15 - mmengine - INFO - Epoch(train) [110][500/586] lr: 5.000000e-04 eta: 6:08:12 time: 0.404539 data_time: 0.027178 memory: 15677 loss_kpt: 0.016602 acc_pose: 0.699769 loss: 0.016602 2022/10/10 23:38:35 - mmengine - INFO - Epoch(train) [110][550/586] lr: 5.000000e-04 eta: 6:07:54 time: 0.400655 data_time: 0.023827 memory: 15677 loss_kpt: 0.016767 acc_pose: 0.659884 loss: 0.016767 2022/10/10 23:38:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:38:49 - mmengine - INFO - Saving checkpoint at 110 epochs 2022/10/10 23:39:02 - mmengine - INFO - Epoch(val) [110][50/407] eta: 0:01:10 time: 0.196955 data_time: 0.014377 memory: 15677 2022/10/10 23:39:12 - mmengine - INFO - Epoch(val) [110][100/407] eta: 0:00:59 time: 0.193894 data_time: 0.013118 memory: 4213 2022/10/10 23:39:21 - mmengine - INFO - Epoch(val) [110][150/407] eta: 0:00:48 time: 0.190258 data_time: 0.009189 memory: 4213 2022/10/10 23:39:31 - mmengine - INFO - Epoch(val) [110][200/407] eta: 0:00:41 time: 0.201252 data_time: 0.019469 memory: 4213 2022/10/10 23:39:41 - mmengine - INFO - Epoch(val) [110][250/407] eta: 0:00:29 time: 0.190338 data_time: 0.008871 memory: 4213 2022/10/10 23:39:50 - mmengine - INFO - Epoch(val) [110][300/407] eta: 0:00:20 time: 0.189569 data_time: 0.009053 memory: 4213 2022/10/10 23:40:00 - mmengine - INFO - Epoch(val) [110][350/407] eta: 0:00:10 time: 0.189284 data_time: 0.008757 memory: 4213 2022/10/10 23:40:09 - mmengine - INFO - Epoch(val) [110][400/407] eta: 0:00:01 time: 0.189137 data_time: 0.008839 memory: 4213 2022/10/10 23:40:42 - mmengine - INFO - Evaluating CocoMetric... 2022/10/10 23:40:54 - mmengine - INFO - Epoch(val) [110][407/407] coco/AP: 0.617886 coco/AP .5: 0.848279 coco/AP .75: 0.688803 coco/AP (M): 0.587390 coco/AP (L): 0.678879 coco/AR: 0.675378 coco/AR .5: 0.891845 coco/AR .75: 0.740869 coco/AR (M): 0.633789 coco/AR (L): 0.734968 2022/10/10 23:41:15 - mmengine - INFO - Epoch(train) [111][50/586] lr: 5.000000e-04 eta: 6:07:11 time: 0.409319 data_time: 0.035384 memory: 15677 loss_kpt: 0.016894 acc_pose: 0.723200 loss: 0.016894 2022/10/10 23:41:35 - mmengine - INFO - Epoch(train) [111][100/586] lr: 5.000000e-04 eta: 6:06:53 time: 0.397461 data_time: 0.025381 memory: 15677 loss_kpt: 0.016867 acc_pose: 0.739260 loss: 0.016867 2022/10/10 23:41:55 - mmengine - INFO - Epoch(train) [111][150/586] lr: 5.000000e-04 eta: 6:06:35 time: 0.394865 data_time: 0.024281 memory: 15677 loss_kpt: 0.017030 acc_pose: 0.640024 loss: 0.017030 2022/10/10 23:42:15 - mmengine - INFO - Epoch(train) [111][200/586] lr: 5.000000e-04 eta: 6:06:18 time: 0.401379 data_time: 0.024926 memory: 15677 loss_kpt: 0.016717 acc_pose: 0.732662 loss: 0.016717 2022/10/10 23:42:35 - mmengine - INFO - Epoch(train) [111][250/586] lr: 5.000000e-04 eta: 6:06:00 time: 0.404066 data_time: 0.028228 memory: 15677 loss_kpt: 0.016757 acc_pose: 0.675350 loss: 0.016757 2022/10/10 23:42:55 - mmengine - INFO - Epoch(train) [111][300/586] lr: 5.000000e-04 eta: 6:05:42 time: 0.399941 data_time: 0.024096 memory: 15677 loss_kpt: 0.017094 acc_pose: 0.648322 loss: 0.017094 2022/10/10 23:43:15 - mmengine - INFO - Epoch(train) [111][350/586] lr: 5.000000e-04 eta: 6:05:24 time: 0.394337 data_time: 0.025012 memory: 15677 loss_kpt: 0.016949 acc_pose: 0.658419 loss: 0.016949 2022/10/10 23:43:35 - mmengine - INFO - Epoch(train) [111][400/586] lr: 5.000000e-04 eta: 6:05:07 time: 0.409933 data_time: 0.029478 memory: 15677 loss_kpt: 0.016644 acc_pose: 0.686013 loss: 0.016644 2022/10/10 23:43:55 - mmengine - INFO - Epoch(train) [111][450/586] lr: 5.000000e-04 eta: 6:04:49 time: 0.400674 data_time: 0.024155 memory: 15677 loss_kpt: 0.016984 acc_pose: 0.674096 loss: 0.016984 2022/10/10 23:44:15 - mmengine - INFO - Epoch(train) [111][500/586] lr: 5.000000e-04 eta: 6:04:31 time: 0.396083 data_time: 0.025577 memory: 15677 loss_kpt: 0.017317 acc_pose: 0.747783 loss: 0.017317 2022/10/10 23:44:31 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:44:35 - mmengine - INFO - Epoch(train) [111][550/586] lr: 5.000000e-04 eta: 6:04:13 time: 0.393692 data_time: 0.024914 memory: 15677 loss_kpt: 0.017058 acc_pose: 0.713783 loss: 0.017058 2022/10/10 23:44:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:45:10 - mmengine - INFO - Epoch(train) [112][50/586] lr: 5.000000e-04 eta: 6:03:31 time: 0.421512 data_time: 0.039686 memory: 15677 loss_kpt: 0.016728 acc_pose: 0.734838 loss: 0.016728 2022/10/10 23:45:30 - mmengine - INFO - Epoch(train) [112][100/586] lr: 5.000000e-04 eta: 6:03:13 time: 0.402242 data_time: 0.025682 memory: 15677 loss_kpt: 0.016809 acc_pose: 0.701497 loss: 0.016809 2022/10/10 23:45:50 - mmengine - INFO - Epoch(train) [112][150/586] lr: 5.000000e-04 eta: 6:02:55 time: 0.399292 data_time: 0.025168 memory: 15677 loss_kpt: 0.016866 acc_pose: 0.672721 loss: 0.016866 2022/10/10 23:46:10 - mmengine - INFO - Epoch(train) [112][200/586] lr: 5.000000e-04 eta: 6:02:37 time: 0.394472 data_time: 0.025047 memory: 15677 loss_kpt: 0.017338 acc_pose: 0.740582 loss: 0.017338 2022/10/10 23:46:30 - mmengine - INFO - Epoch(train) [112][250/586] lr: 5.000000e-04 eta: 6:02:20 time: 0.404533 data_time: 0.032549 memory: 15677 loss_kpt: 0.017089 acc_pose: 0.662143 loss: 0.017089 2022/10/10 23:46:50 - mmengine - INFO - Epoch(train) [112][300/586] lr: 5.000000e-04 eta: 6:02:02 time: 0.399478 data_time: 0.025976 memory: 15677 loss_kpt: 0.016878 acc_pose: 0.708412 loss: 0.016878 2022/10/10 23:47:10 - mmengine - INFO - Epoch(train) [112][350/586] lr: 5.000000e-04 eta: 6:01:44 time: 0.401132 data_time: 0.030669 memory: 15677 loss_kpt: 0.017103 acc_pose: 0.663009 loss: 0.017103 2022/10/10 23:47:30 - mmengine - INFO - Epoch(train) [112][400/586] lr: 5.000000e-04 eta: 6:01:26 time: 0.391779 data_time: 0.025442 memory: 15677 loss_kpt: 0.016828 acc_pose: 0.748553 loss: 0.016828 2022/10/10 23:47:50 - mmengine - INFO - Epoch(train) [112][450/586] lr: 5.000000e-04 eta: 6:01:09 time: 0.401715 data_time: 0.024984 memory: 15677 loss_kpt: 0.017202 acc_pose: 0.702373 loss: 0.017202 2022/10/10 23:48:10 - mmengine - INFO - Epoch(train) [112][500/586] lr: 5.000000e-04 eta: 6:00:51 time: 0.405420 data_time: 0.025900 memory: 15677 loss_kpt: 0.016744 acc_pose: 0.646331 loss: 0.016744 2022/10/10 23:48:30 - mmengine - INFO - Epoch(train) [112][550/586] lr: 5.000000e-04 eta: 6:00:33 time: 0.401749 data_time: 0.027061 memory: 15677 loss_kpt: 0.017439 acc_pose: 0.565322 loss: 0.017439 2022/10/10 23:48:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:49:05 - mmengine - INFO - Epoch(train) [113][50/586] lr: 5.000000e-04 eta: 5:59:50 time: 0.408537 data_time: 0.035572 memory: 15677 loss_kpt: 0.016837 acc_pose: 0.613313 loss: 0.016837 2022/10/10 23:49:25 - mmengine - INFO - Epoch(train) [113][100/586] lr: 5.000000e-04 eta: 5:59:33 time: 0.409041 data_time: 0.027197 memory: 15677 loss_kpt: 0.017533 acc_pose: 0.702355 loss: 0.017533 2022/10/10 23:49:45 - mmengine - INFO - Epoch(train) [113][150/586] lr: 5.000000e-04 eta: 5:59:15 time: 0.396691 data_time: 0.026387 memory: 15677 loss_kpt: 0.016993 acc_pose: 0.677208 loss: 0.016993 2022/10/10 23:50:05 - mmengine - INFO - Epoch(train) [113][200/586] lr: 5.000000e-04 eta: 5:58:58 time: 0.403735 data_time: 0.026707 memory: 15677 loss_kpt: 0.017052 acc_pose: 0.630415 loss: 0.017052 2022/10/10 23:50:25 - mmengine - INFO - Epoch(train) [113][250/586] lr: 5.000000e-04 eta: 5:58:40 time: 0.404239 data_time: 0.029077 memory: 15677 loss_kpt: 0.016696 acc_pose: 0.730951 loss: 0.016696 2022/10/10 23:50:45 - mmengine - INFO - Epoch(train) [113][300/586] lr: 5.000000e-04 eta: 5:58:22 time: 0.401622 data_time: 0.027526 memory: 15677 loss_kpt: 0.016761 acc_pose: 0.656312 loss: 0.016761 2022/10/10 23:51:06 - mmengine - INFO - Epoch(train) [113][350/586] lr: 5.000000e-04 eta: 5:58:04 time: 0.402352 data_time: 0.026141 memory: 15677 loss_kpt: 0.017001 acc_pose: 0.761335 loss: 0.017001 2022/10/10 23:51:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:51:26 - mmengine - INFO - Epoch(train) [113][400/586] lr: 5.000000e-04 eta: 5:57:47 time: 0.402256 data_time: 0.025122 memory: 15677 loss_kpt: 0.017059 acc_pose: 0.670527 loss: 0.017059 2022/10/10 23:51:45 - mmengine - INFO - Epoch(train) [113][450/586] lr: 5.000000e-04 eta: 5:57:29 time: 0.392533 data_time: 0.025833 memory: 15677 loss_kpt: 0.016815 acc_pose: 0.721014 loss: 0.016815 2022/10/10 23:52:06 - mmengine - INFO - Epoch(train) [113][500/586] lr: 5.000000e-04 eta: 5:57:11 time: 0.403403 data_time: 0.025069 memory: 15677 loss_kpt: 0.017457 acc_pose: 0.647713 loss: 0.017457 2022/10/10 23:52:25 - mmengine - INFO - Epoch(train) [113][550/586] lr: 5.000000e-04 eta: 5:56:53 time: 0.395424 data_time: 0.025363 memory: 15677 loss_kpt: 0.017258 acc_pose: 0.664349 loss: 0.017258 2022/10/10 23:52:40 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:53:00 - mmengine - INFO - Epoch(train) [114][50/586] lr: 5.000000e-04 eta: 5:56:10 time: 0.408772 data_time: 0.034463 memory: 15677 loss_kpt: 0.017450 acc_pose: 0.720130 loss: 0.017450 2022/10/10 23:53:20 - mmengine - INFO - Epoch(train) [114][100/586] lr: 5.000000e-04 eta: 5:55:52 time: 0.394172 data_time: 0.026224 memory: 15677 loss_kpt: 0.017382 acc_pose: 0.717232 loss: 0.017382 2022/10/10 23:53:40 - mmengine - INFO - Epoch(train) [114][150/586] lr: 5.000000e-04 eta: 5:55:35 time: 0.406772 data_time: 0.025653 memory: 15677 loss_kpt: 0.016755 acc_pose: 0.692124 loss: 0.016755 2022/10/10 23:54:00 - mmengine - INFO - Epoch(train) [114][200/586] lr: 5.000000e-04 eta: 5:55:17 time: 0.399593 data_time: 0.026125 memory: 15677 loss_kpt: 0.016626 acc_pose: 0.732077 loss: 0.016626 2022/10/10 23:54:20 - mmengine - INFO - Epoch(train) [114][250/586] lr: 5.000000e-04 eta: 5:54:59 time: 0.400143 data_time: 0.027395 memory: 15677 loss_kpt: 0.016884 acc_pose: 0.679965 loss: 0.016884 2022/10/10 23:54:40 - mmengine - INFO - Epoch(train) [114][300/586] lr: 5.000000e-04 eta: 5:54:41 time: 0.399121 data_time: 0.027206 memory: 15677 loss_kpt: 0.017796 acc_pose: 0.682520 loss: 0.017796 2022/10/10 23:55:00 - mmengine - INFO - Epoch(train) [114][350/586] lr: 5.000000e-04 eta: 5:54:23 time: 0.398459 data_time: 0.025306 memory: 15677 loss_kpt: 0.017365 acc_pose: 0.681667 loss: 0.017365 2022/10/10 23:55:20 - mmengine - INFO - Epoch(train) [114][400/586] lr: 5.000000e-04 eta: 5:54:06 time: 0.400721 data_time: 0.032364 memory: 15677 loss_kpt: 0.017729 acc_pose: 0.636376 loss: 0.017729 2022/10/10 23:55:40 - mmengine - INFO - Epoch(train) [114][450/586] lr: 5.000000e-04 eta: 5:53:48 time: 0.397084 data_time: 0.027476 memory: 15677 loss_kpt: 0.016744 acc_pose: 0.665153 loss: 0.016744 2022/10/10 23:56:00 - mmengine - INFO - Epoch(train) [114][500/586] lr: 5.000000e-04 eta: 5:53:30 time: 0.404944 data_time: 0.025328 memory: 15677 loss_kpt: 0.017214 acc_pose: 0.710140 loss: 0.017214 2022/10/10 23:56:20 - mmengine - INFO - Epoch(train) [114][550/586] lr: 5.000000e-04 eta: 5:53:12 time: 0.396967 data_time: 0.024825 memory: 15677 loss_kpt: 0.016939 acc_pose: 0.671394 loss: 0.016939 2022/10/10 23:56:34 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:56:55 - mmengine - INFO - Epoch(train) [115][50/586] lr: 5.000000e-04 eta: 5:52:30 time: 0.407300 data_time: 0.034100 memory: 15677 loss_kpt: 0.017045 acc_pose: 0.746552 loss: 0.017045 2022/10/10 23:57:15 - mmengine - INFO - Epoch(train) [115][100/586] lr: 5.000000e-04 eta: 5:52:12 time: 0.400980 data_time: 0.029951 memory: 15677 loss_kpt: 0.017447 acc_pose: 0.690627 loss: 0.017447 2022/10/10 23:57:35 - mmengine - INFO - Epoch(train) [115][150/586] lr: 5.000000e-04 eta: 5:51:54 time: 0.401492 data_time: 0.025034 memory: 15677 loss_kpt: 0.016993 acc_pose: 0.660945 loss: 0.016993 2022/10/10 23:57:53 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/10 23:57:54 - mmengine - INFO - Epoch(train) [115][200/586] lr: 5.000000e-04 eta: 5:51:36 time: 0.391840 data_time: 0.025049 memory: 15677 loss_kpt: 0.017382 acc_pose: 0.677090 loss: 0.017382 2022/10/10 23:58:14 - mmengine - INFO - Epoch(train) [115][250/586] lr: 5.000000e-04 eta: 5:51:18 time: 0.403283 data_time: 0.029512 memory: 15677 loss_kpt: 0.017054 acc_pose: 0.682064 loss: 0.017054 2022/10/10 23:58:34 - mmengine - INFO - Epoch(train) [115][300/586] lr: 5.000000e-04 eta: 5:51:00 time: 0.399360 data_time: 0.026568 memory: 15677 loss_kpt: 0.016922 acc_pose: 0.766494 loss: 0.016922 2022/10/10 23:58:55 - mmengine - INFO - Epoch(train) [115][350/586] lr: 5.000000e-04 eta: 5:50:43 time: 0.402524 data_time: 0.027575 memory: 15677 loss_kpt: 0.016884 acc_pose: 0.735992 loss: 0.016884 2022/10/10 23:59:15 - mmengine - INFO - Epoch(train) [115][400/586] lr: 5.000000e-04 eta: 5:50:25 time: 0.401577 data_time: 0.025821 memory: 15677 loss_kpt: 0.017380 acc_pose: 0.604535 loss: 0.017380 2022/10/10 23:59:35 - mmengine - INFO - Epoch(train) [115][450/586] lr: 5.000000e-04 eta: 5:50:07 time: 0.396603 data_time: 0.028470 memory: 15677 loss_kpt: 0.016927 acc_pose: 0.732381 loss: 0.016927 2022/10/10 23:59:55 - mmengine - INFO - Epoch(train) [115][500/586] lr: 5.000000e-04 eta: 5:49:49 time: 0.402482 data_time: 0.025037 memory: 15677 loss_kpt: 0.017315 acc_pose: 0.655763 loss: 0.017315 2022/10/11 00:00:14 - mmengine - INFO - Epoch(train) [115][550/586] lr: 5.000000e-04 eta: 5:49:31 time: 0.395679 data_time: 0.025780 memory: 15677 loss_kpt: 0.016525 acc_pose: 0.744392 loss: 0.016525 2022/10/11 00:00:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:00:49 - mmengine - INFO - Epoch(train) [116][50/586] lr: 5.000000e-04 eta: 5:48:49 time: 0.402013 data_time: 0.035176 memory: 15677 loss_kpt: 0.017030 acc_pose: 0.627536 loss: 0.017030 2022/10/11 00:01:09 - mmengine - INFO - Epoch(train) [116][100/586] lr: 5.000000e-04 eta: 5:48:31 time: 0.397044 data_time: 0.029628 memory: 15677 loss_kpt: 0.016959 acc_pose: 0.712752 loss: 0.016959 2022/10/11 00:01:29 - mmengine - INFO - Epoch(train) [116][150/586] lr: 5.000000e-04 eta: 5:48:13 time: 0.399461 data_time: 0.025362 memory: 15677 loss_kpt: 0.016875 acc_pose: 0.682250 loss: 0.016875 2022/10/11 00:01:49 - mmengine - INFO - Epoch(train) [116][200/586] lr: 5.000000e-04 eta: 5:47:55 time: 0.396962 data_time: 0.026052 memory: 15677 loss_kpt: 0.016935 acc_pose: 0.815954 loss: 0.016935 2022/10/11 00:02:09 - mmengine - INFO - Epoch(train) [116][250/586] lr: 5.000000e-04 eta: 5:47:37 time: 0.402793 data_time: 0.027045 memory: 15677 loss_kpt: 0.016844 acc_pose: 0.667451 loss: 0.016844 2022/10/11 00:02:29 - mmengine - INFO - Epoch(train) [116][300/586] lr: 5.000000e-04 eta: 5:47:19 time: 0.397120 data_time: 0.026584 memory: 15677 loss_kpt: 0.017026 acc_pose: 0.618114 loss: 0.017026 2022/10/11 00:02:49 - mmengine - INFO - Epoch(train) [116][350/586] lr: 5.000000e-04 eta: 5:47:01 time: 0.398384 data_time: 0.024530 memory: 15677 loss_kpt: 0.017357 acc_pose: 0.750410 loss: 0.017357 2022/10/11 00:03:09 - mmengine - INFO - Epoch(train) [116][400/586] lr: 5.000000e-04 eta: 5:46:43 time: 0.397743 data_time: 0.028842 memory: 15677 loss_kpt: 0.016324 acc_pose: 0.668735 loss: 0.016324 2022/10/11 00:03:29 - mmengine - INFO - Epoch(train) [116][450/586] lr: 5.000000e-04 eta: 5:46:25 time: 0.401971 data_time: 0.027378 memory: 15677 loss_kpt: 0.017142 acc_pose: 0.613205 loss: 0.017142 2022/10/11 00:03:49 - mmengine - INFO - Epoch(train) [116][500/586] lr: 5.000000e-04 eta: 5:46:08 time: 0.403842 data_time: 0.030131 memory: 15677 loss_kpt: 0.016701 acc_pose: 0.732059 loss: 0.016701 2022/10/11 00:04:09 - mmengine - INFO - Epoch(train) [116][550/586] lr: 5.000000e-04 eta: 5:45:50 time: 0.397488 data_time: 0.026240 memory: 15677 loss_kpt: 0.017102 acc_pose: 0.620433 loss: 0.017102 2022/10/11 00:04:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:04:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:04:43 - mmengine - INFO - Epoch(train) [117][50/586] lr: 5.000000e-04 eta: 5:45:08 time: 0.408234 data_time: 0.031196 memory: 15677 loss_kpt: 0.016388 acc_pose: 0.650854 loss: 0.016388 2022/10/11 00:05:05 - mmengine - INFO - Epoch(train) [117][100/586] lr: 5.000000e-04 eta: 5:44:52 time: 0.440524 data_time: 0.048406 memory: 15677 loss_kpt: 0.016818 acc_pose: 0.728322 loss: 0.016818 2022/10/11 00:05:25 - mmengine - INFO - Epoch(train) [117][150/586] lr: 5.000000e-04 eta: 5:44:34 time: 0.398639 data_time: 0.029264 memory: 15677 loss_kpt: 0.016955 acc_pose: 0.690369 loss: 0.016955 2022/10/11 00:05:45 - mmengine - INFO - Epoch(train) [117][200/586] lr: 5.000000e-04 eta: 5:44:16 time: 0.395552 data_time: 0.025582 memory: 15677 loss_kpt: 0.016893 acc_pose: 0.650849 loss: 0.016893 2022/10/11 00:06:05 - mmengine - INFO - Epoch(train) [117][250/586] lr: 5.000000e-04 eta: 5:43:58 time: 0.398461 data_time: 0.024419 memory: 15677 loss_kpt: 0.016738 acc_pose: 0.728715 loss: 0.016738 2022/10/11 00:06:25 - mmengine - INFO - Epoch(train) [117][300/586] lr: 5.000000e-04 eta: 5:43:40 time: 0.406206 data_time: 0.024828 memory: 15677 loss_kpt: 0.017541 acc_pose: 0.665722 loss: 0.017541 2022/10/11 00:06:45 - mmengine - INFO - Epoch(train) [117][350/586] lr: 5.000000e-04 eta: 5:43:22 time: 0.397515 data_time: 0.025205 memory: 15677 loss_kpt: 0.017100 acc_pose: 0.710955 loss: 0.017100 2022/10/11 00:07:05 - mmengine - INFO - Epoch(train) [117][400/586] lr: 5.000000e-04 eta: 5:43:04 time: 0.395816 data_time: 0.031047 memory: 15677 loss_kpt: 0.016889 acc_pose: 0.682747 loss: 0.016889 2022/10/11 00:07:25 - mmengine - INFO - Epoch(train) [117][450/586] lr: 5.000000e-04 eta: 5:42:46 time: 0.400456 data_time: 0.027712 memory: 15677 loss_kpt: 0.017319 acc_pose: 0.701682 loss: 0.017319 2022/10/11 00:07:45 - mmengine - INFO - Epoch(train) [117][500/586] lr: 5.000000e-04 eta: 5:42:28 time: 0.399392 data_time: 0.026641 memory: 15677 loss_kpt: 0.016693 acc_pose: 0.666227 loss: 0.016693 2022/10/11 00:08:05 - mmengine - INFO - Epoch(train) [117][550/586] lr: 5.000000e-04 eta: 5:42:11 time: 0.406999 data_time: 0.024659 memory: 15677 loss_kpt: 0.016845 acc_pose: 0.618964 loss: 0.016845 2022/10/11 00:08:20 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:08:40 - mmengine - INFO - Epoch(train) [118][50/586] lr: 5.000000e-04 eta: 5:41:29 time: 0.409529 data_time: 0.032077 memory: 15677 loss_kpt: 0.016839 acc_pose: 0.642815 loss: 0.016839 2022/10/11 00:09:00 - mmengine - INFO - Epoch(train) [118][100/586] lr: 5.000000e-04 eta: 5:41:11 time: 0.392848 data_time: 0.024997 memory: 15677 loss_kpt: 0.016925 acc_pose: 0.687160 loss: 0.016925 2022/10/11 00:09:20 - mmengine - INFO - Epoch(train) [118][150/586] lr: 5.000000e-04 eta: 5:40:53 time: 0.409206 data_time: 0.024018 memory: 15677 loss_kpt: 0.016721 acc_pose: 0.708528 loss: 0.016721 2022/10/11 00:09:40 - mmengine - INFO - Epoch(train) [118][200/586] lr: 5.000000e-04 eta: 5:40:35 time: 0.396477 data_time: 0.026787 memory: 15677 loss_kpt: 0.016564 acc_pose: 0.657102 loss: 0.016564 2022/10/11 00:10:00 - mmengine - INFO - Epoch(train) [118][250/586] lr: 5.000000e-04 eta: 5:40:17 time: 0.395241 data_time: 0.029134 memory: 15677 loss_kpt: 0.016999 acc_pose: 0.594266 loss: 0.016999 2022/10/11 00:10:20 - mmengine - INFO - Epoch(train) [118][300/586] lr: 5.000000e-04 eta: 5:39:59 time: 0.401419 data_time: 0.024433 memory: 15677 loss_kpt: 0.016935 acc_pose: 0.737794 loss: 0.016935 2022/10/11 00:10:40 - mmengine - INFO - Epoch(train) [118][350/586] lr: 5.000000e-04 eta: 5:39:41 time: 0.403806 data_time: 0.025319 memory: 15677 loss_kpt: 0.016875 acc_pose: 0.714920 loss: 0.016875 2022/10/11 00:11:00 - mmengine - INFO - Epoch(train) [118][400/586] lr: 5.000000e-04 eta: 5:39:24 time: 0.402269 data_time: 0.026550 memory: 15677 loss_kpt: 0.016993 acc_pose: 0.695454 loss: 0.016993 2022/10/11 00:11:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:11:20 - mmengine - INFO - Epoch(train) [118][450/586] lr: 5.000000e-04 eta: 5:39:06 time: 0.396880 data_time: 0.024057 memory: 15677 loss_kpt: 0.016495 acc_pose: 0.686400 loss: 0.016495 2022/10/11 00:11:40 - mmengine - INFO - Epoch(train) [118][500/586] lr: 5.000000e-04 eta: 5:38:48 time: 0.399003 data_time: 0.025495 memory: 15677 loss_kpt: 0.017095 acc_pose: 0.762226 loss: 0.017095 2022/10/11 00:12:00 - mmengine - INFO - Epoch(train) [118][550/586] lr: 5.000000e-04 eta: 5:38:30 time: 0.392984 data_time: 0.024795 memory: 15677 loss_kpt: 0.017549 acc_pose: 0.683376 loss: 0.017549 2022/10/11 00:12:14 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:12:35 - mmengine - INFO - Epoch(train) [119][50/586] lr: 5.000000e-04 eta: 5:37:48 time: 0.409683 data_time: 0.033140 memory: 15677 loss_kpt: 0.016460 acc_pose: 0.698426 loss: 0.016460 2022/10/11 00:12:55 - mmengine - INFO - Epoch(train) [119][100/586] lr: 5.000000e-04 eta: 5:37:30 time: 0.403190 data_time: 0.023715 memory: 15677 loss_kpt: 0.017456 acc_pose: 0.712950 loss: 0.017456 2022/10/11 00:13:15 - mmengine - INFO - Epoch(train) [119][150/586] lr: 5.000000e-04 eta: 5:37:12 time: 0.395475 data_time: 0.025015 memory: 15677 loss_kpt: 0.016630 acc_pose: 0.748931 loss: 0.016630 2022/10/11 00:13:35 - mmengine - INFO - Epoch(train) [119][200/586] lr: 5.000000e-04 eta: 5:36:54 time: 0.405010 data_time: 0.024048 memory: 15677 loss_kpt: 0.016637 acc_pose: 0.626888 loss: 0.016637 2022/10/11 00:13:55 - mmengine - INFO - Epoch(train) [119][250/586] lr: 5.000000e-04 eta: 5:36:37 time: 0.407717 data_time: 0.026398 memory: 15677 loss_kpt: 0.016829 acc_pose: 0.615041 loss: 0.016829 2022/10/11 00:14:15 - mmengine - INFO - Epoch(train) [119][300/586] lr: 5.000000e-04 eta: 5:36:19 time: 0.397922 data_time: 0.026795 memory: 15677 loss_kpt: 0.016910 acc_pose: 0.565021 loss: 0.016910 2022/10/11 00:14:35 - mmengine - INFO - Epoch(train) [119][350/586] lr: 5.000000e-04 eta: 5:36:01 time: 0.400905 data_time: 0.026805 memory: 15677 loss_kpt: 0.016936 acc_pose: 0.734086 loss: 0.016936 2022/10/11 00:14:55 - mmengine - INFO - Epoch(train) [119][400/586] lr: 5.000000e-04 eta: 5:35:43 time: 0.398138 data_time: 0.026714 memory: 15677 loss_kpt: 0.017071 acc_pose: 0.699812 loss: 0.017071 2022/10/11 00:15:15 - mmengine - INFO - Epoch(train) [119][450/586] lr: 5.000000e-04 eta: 5:35:25 time: 0.403451 data_time: 0.025129 memory: 15677 loss_kpt: 0.017079 acc_pose: 0.704334 loss: 0.017079 2022/10/11 00:15:35 - mmengine - INFO - Epoch(train) [119][500/586] lr: 5.000000e-04 eta: 5:35:07 time: 0.398068 data_time: 0.027438 memory: 15677 loss_kpt: 0.017335 acc_pose: 0.715302 loss: 0.017335 2022/10/11 00:15:55 - mmengine - INFO - Epoch(train) [119][550/586] lr: 5.000000e-04 eta: 5:34:49 time: 0.399938 data_time: 0.023050 memory: 15677 loss_kpt: 0.016740 acc_pose: 0.694647 loss: 0.016740 2022/10/11 00:16:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:16:29 - mmengine - INFO - Epoch(train) [120][50/586] lr: 5.000000e-04 eta: 5:34:08 time: 0.407798 data_time: 0.029906 memory: 15677 loss_kpt: 0.017038 acc_pose: 0.676624 loss: 0.017038 2022/10/11 00:16:50 - mmengine - INFO - Epoch(train) [120][100/586] lr: 5.000000e-04 eta: 5:33:50 time: 0.402137 data_time: 0.024444 memory: 15677 loss_kpt: 0.017459 acc_pose: 0.706127 loss: 0.017459 2022/10/11 00:17:10 - mmengine - INFO - Epoch(train) [120][150/586] lr: 5.000000e-04 eta: 5:33:32 time: 0.407229 data_time: 0.027558 memory: 15677 loss_kpt: 0.017090 acc_pose: 0.704614 loss: 0.017090 2022/10/11 00:17:30 - mmengine - INFO - Epoch(train) [120][200/586] lr: 5.000000e-04 eta: 5:33:14 time: 0.392101 data_time: 0.025535 memory: 15677 loss_kpt: 0.017162 acc_pose: 0.725803 loss: 0.017162 2022/10/11 00:17:50 - mmengine - INFO - Epoch(train) [120][250/586] lr: 5.000000e-04 eta: 5:32:56 time: 0.402833 data_time: 0.025134 memory: 15677 loss_kpt: 0.017169 acc_pose: 0.690039 loss: 0.017169 2022/10/11 00:17:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:18:10 - mmengine - INFO - Epoch(train) [120][300/586] lr: 5.000000e-04 eta: 5:32:38 time: 0.404197 data_time: 0.026801 memory: 15677 loss_kpt: 0.017338 acc_pose: 0.691442 loss: 0.017338 2022/10/11 00:18:30 - mmengine - INFO - Epoch(train) [120][350/586] lr: 5.000000e-04 eta: 5:32:21 time: 0.401895 data_time: 0.029381 memory: 15677 loss_kpt: 0.016975 acc_pose: 0.623060 loss: 0.016975 2022/10/11 00:18:50 - mmengine - INFO - Epoch(train) [120][400/586] lr: 5.000000e-04 eta: 5:32:02 time: 0.395999 data_time: 0.024245 memory: 15677 loss_kpt: 0.017073 acc_pose: 0.692780 loss: 0.017073 2022/10/11 00:19:10 - mmengine - INFO - Epoch(train) [120][450/586] lr: 5.000000e-04 eta: 5:31:44 time: 0.397897 data_time: 0.026164 memory: 15677 loss_kpt: 0.017452 acc_pose: 0.606918 loss: 0.017452 2022/10/11 00:19:30 - mmengine - INFO - Epoch(train) [120][500/586] lr: 5.000000e-04 eta: 5:31:26 time: 0.399520 data_time: 0.025697 memory: 15677 loss_kpt: 0.016889 acc_pose: 0.706227 loss: 0.016889 2022/10/11 00:19:50 - mmengine - INFO - Epoch(train) [120][550/586] lr: 5.000000e-04 eta: 5:31:09 time: 0.404484 data_time: 0.024926 memory: 15677 loss_kpt: 0.016960 acc_pose: 0.593170 loss: 0.016960 2022/10/11 00:20:04 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:20:04 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/10/11 00:20:17 - mmengine - INFO - Epoch(val) [120][50/407] eta: 0:01:09 time: 0.195713 data_time: 0.013751 memory: 15677 2022/10/11 00:20:26 - mmengine - INFO - Epoch(val) [120][100/407] eta: 0:00:58 time: 0.189783 data_time: 0.008964 memory: 4213 2022/10/11 00:20:36 - mmengine - INFO - Epoch(val) [120][150/407] eta: 0:00:50 time: 0.196626 data_time: 0.014846 memory: 4213 2022/10/11 00:20:45 - mmengine - INFO - Epoch(val) [120][200/407] eta: 0:00:39 time: 0.189771 data_time: 0.008718 memory: 4213 2022/10/11 00:20:55 - mmengine - INFO - Epoch(val) [120][250/407] eta: 0:00:29 time: 0.190306 data_time: 0.009239 memory: 4213 2022/10/11 00:21:05 - mmengine - INFO - Epoch(val) [120][300/407] eta: 0:00:20 time: 0.192492 data_time: 0.011372 memory: 4213 2022/10/11 00:21:14 - mmengine - INFO - Epoch(val) [120][350/407] eta: 0:00:11 time: 0.193299 data_time: 0.011863 memory: 4213 2022/10/11 00:21:24 - mmengine - INFO - Epoch(val) [120][400/407] eta: 0:00:01 time: 0.194203 data_time: 0.013333 memory: 4213 2022/10/11 00:21:56 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 00:22:09 - mmengine - INFO - Epoch(val) [120][407/407] coco/AP: 0.626977 coco/AP .5: 0.850165 coco/AP .75: 0.698577 coco/AP (M): 0.598752 coco/AP (L): 0.686451 coco/AR: 0.686729 coco/AR .5: 0.894049 coco/AR .75: 0.752676 coco/AR (M): 0.647118 coco/AR (L): 0.743181 2022/10/11 00:22:09 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_90.pth is removed 2022/10/11 00:22:11 - mmengine - INFO - The best checkpoint with 0.6270 coco/AP at 120 epoch is saved to best_coco/AP_epoch_120.pth. 2022/10/11 00:22:31 - mmengine - INFO - Epoch(train) [121][50/586] lr: 5.000000e-04 eta: 5:30:27 time: 0.400808 data_time: 0.030957 memory: 15677 loss_kpt: 0.016962 acc_pose: 0.690598 loss: 0.016962 2022/10/11 00:22:51 - mmengine - INFO - Epoch(train) [121][100/586] lr: 5.000000e-04 eta: 5:30:09 time: 0.397416 data_time: 0.026093 memory: 15677 loss_kpt: 0.016450 acc_pose: 0.700013 loss: 0.016450 2022/10/11 00:23:11 - mmengine - INFO - Epoch(train) [121][150/586] lr: 5.000000e-04 eta: 5:29:51 time: 0.403580 data_time: 0.024726 memory: 15677 loss_kpt: 0.017390 acc_pose: 0.699215 loss: 0.017390 2022/10/11 00:23:31 - mmengine - INFO - Epoch(train) [121][200/586] lr: 5.000000e-04 eta: 5:29:33 time: 0.396047 data_time: 0.025409 memory: 15677 loss_kpt: 0.017367 acc_pose: 0.594869 loss: 0.017367 2022/10/11 00:23:51 - mmengine - INFO - Epoch(train) [121][250/586] lr: 5.000000e-04 eta: 5:29:15 time: 0.404140 data_time: 0.031280 memory: 15677 loss_kpt: 0.017133 acc_pose: 0.675199 loss: 0.017133 2022/10/11 00:24:11 - mmengine - INFO - Epoch(train) [121][300/586] lr: 5.000000e-04 eta: 5:28:57 time: 0.396337 data_time: 0.024870 memory: 15677 loss_kpt: 0.017266 acc_pose: 0.672454 loss: 0.017266 2022/10/11 00:24:31 - mmengine - INFO - Epoch(train) [121][350/586] lr: 5.000000e-04 eta: 5:28:39 time: 0.399273 data_time: 0.025680 memory: 15677 loss_kpt: 0.016906 acc_pose: 0.668989 loss: 0.016906 2022/10/11 00:24:51 - mmengine - INFO - Epoch(train) [121][400/586] lr: 5.000000e-04 eta: 5:28:21 time: 0.400119 data_time: 0.025673 memory: 15677 loss_kpt: 0.016838 acc_pose: 0.683212 loss: 0.016838 2022/10/11 00:25:11 - mmengine - INFO - Epoch(train) [121][450/586] lr: 5.000000e-04 eta: 5:28:03 time: 0.397709 data_time: 0.025920 memory: 15677 loss_kpt: 0.016972 acc_pose: 0.636168 loss: 0.016972 2022/10/11 00:25:31 - mmengine - INFO - Epoch(train) [121][500/586] lr: 5.000000e-04 eta: 5:27:46 time: 0.403510 data_time: 0.029336 memory: 15677 loss_kpt: 0.017277 acc_pose: 0.690378 loss: 0.017277 2022/10/11 00:25:51 - mmengine - INFO - Epoch(train) [121][550/586] lr: 5.000000e-04 eta: 5:27:28 time: 0.399090 data_time: 0.026768 memory: 15677 loss_kpt: 0.016654 acc_pose: 0.675167 loss: 0.016654 2022/10/11 00:26:05 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:26:26 - mmengine - INFO - Epoch(train) [122][50/586] lr: 5.000000e-04 eta: 5:26:47 time: 0.418512 data_time: 0.039292 memory: 15677 loss_kpt: 0.016825 acc_pose: 0.652228 loss: 0.016825 2022/10/11 00:26:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:26:47 - mmengine - INFO - Epoch(train) [122][100/586] lr: 5.000000e-04 eta: 5:26:29 time: 0.403941 data_time: 0.024433 memory: 15677 loss_kpt: 0.016630 acc_pose: 0.692867 loss: 0.016630 2022/10/11 00:27:07 - mmengine - INFO - Epoch(train) [122][150/586] lr: 5.000000e-04 eta: 5:26:11 time: 0.399555 data_time: 0.026145 memory: 15677 loss_kpt: 0.017184 acc_pose: 0.572165 loss: 0.017184 2022/10/11 00:27:27 - mmengine - INFO - Epoch(train) [122][200/586] lr: 5.000000e-04 eta: 5:25:53 time: 0.399538 data_time: 0.024474 memory: 15677 loss_kpt: 0.016916 acc_pose: 0.731131 loss: 0.016916 2022/10/11 00:27:47 - mmengine - INFO - Epoch(train) [122][250/586] lr: 5.000000e-04 eta: 5:25:35 time: 0.398857 data_time: 0.026404 memory: 15677 loss_kpt: 0.017152 acc_pose: 0.668460 loss: 0.017152 2022/10/11 00:28:06 - mmengine - INFO - Epoch(train) [122][300/586] lr: 5.000000e-04 eta: 5:25:17 time: 0.394636 data_time: 0.027257 memory: 15677 loss_kpt: 0.016469 acc_pose: 0.664196 loss: 0.016469 2022/10/11 00:28:26 - mmengine - INFO - Epoch(train) [122][350/586] lr: 5.000000e-04 eta: 5:24:59 time: 0.402971 data_time: 0.025541 memory: 15677 loss_kpt: 0.016783 acc_pose: 0.675225 loss: 0.016783 2022/10/11 00:28:46 - mmengine - INFO - Epoch(train) [122][400/586] lr: 5.000000e-04 eta: 5:24:41 time: 0.396958 data_time: 0.026831 memory: 15677 loss_kpt: 0.016553 acc_pose: 0.735604 loss: 0.016553 2022/10/11 00:29:06 - mmengine - INFO - Epoch(train) [122][450/586] lr: 5.000000e-04 eta: 5:24:23 time: 0.401993 data_time: 0.024570 memory: 15677 loss_kpt: 0.016645 acc_pose: 0.631426 loss: 0.016645 2022/10/11 00:29:26 - mmengine - INFO - Epoch(train) [122][500/586] lr: 5.000000e-04 eta: 5:24:05 time: 0.397069 data_time: 0.025626 memory: 15677 loss_kpt: 0.017413 acc_pose: 0.650166 loss: 0.017413 2022/10/11 00:29:46 - mmengine - INFO - Epoch(train) [122][550/586] lr: 5.000000e-04 eta: 5:23:47 time: 0.403591 data_time: 0.027026 memory: 15677 loss_kpt: 0.016561 acc_pose: 0.680483 loss: 0.016561 2022/10/11 00:30:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:30:21 - mmengine - INFO - Epoch(train) [123][50/586] lr: 5.000000e-04 eta: 5:23:06 time: 0.406794 data_time: 0.032753 memory: 15677 loss_kpt: 0.016593 acc_pose: 0.736321 loss: 0.016593 2022/10/11 00:30:41 - mmengine - INFO - Epoch(train) [123][100/586] lr: 5.000000e-04 eta: 5:22:48 time: 0.399395 data_time: 0.026103 memory: 15677 loss_kpt: 0.017292 acc_pose: 0.638107 loss: 0.017292 2022/10/11 00:31:01 - mmengine - INFO - Epoch(train) [123][150/586] lr: 5.000000e-04 eta: 5:22:30 time: 0.401288 data_time: 0.027167 memory: 15677 loss_kpt: 0.017193 acc_pose: 0.671474 loss: 0.017193 2022/10/11 00:31:21 - mmengine - INFO - Epoch(train) [123][200/586] lr: 5.000000e-04 eta: 5:22:12 time: 0.405333 data_time: 0.026474 memory: 15677 loss_kpt: 0.016502 acc_pose: 0.637140 loss: 0.016502 2022/10/11 00:31:41 - mmengine - INFO - Epoch(train) [123][250/586] lr: 5.000000e-04 eta: 5:21:54 time: 0.395617 data_time: 0.024474 memory: 15677 loss_kpt: 0.016956 acc_pose: 0.750828 loss: 0.016956 2022/10/11 00:32:01 - mmengine - INFO - Epoch(train) [123][300/586] lr: 5.000000e-04 eta: 5:21:36 time: 0.400839 data_time: 0.028354 memory: 15677 loss_kpt: 0.016938 acc_pose: 0.692749 loss: 0.016938 2022/10/11 00:32:21 - mmengine - INFO - Epoch(train) [123][350/586] lr: 5.000000e-04 eta: 5:21:18 time: 0.402859 data_time: 0.028150 memory: 15677 loss_kpt: 0.016604 acc_pose: 0.741587 loss: 0.016604 2022/10/11 00:32:41 - mmengine - INFO - Epoch(train) [123][400/586] lr: 5.000000e-04 eta: 5:21:00 time: 0.393753 data_time: 0.025309 memory: 15677 loss_kpt: 0.016612 acc_pose: 0.681895 loss: 0.016612 2022/10/11 00:33:01 - mmengine - INFO - Epoch(train) [123][450/586] lr: 5.000000e-04 eta: 5:20:42 time: 0.403741 data_time: 0.026202 memory: 15677 loss_kpt: 0.016416 acc_pose: 0.741563 loss: 0.016416 2022/10/11 00:33:21 - mmengine - INFO - Epoch(train) [123][500/586] lr: 5.000000e-04 eta: 5:20:25 time: 0.403315 data_time: 0.024419 memory: 15677 loss_kpt: 0.016945 acc_pose: 0.688071 loss: 0.016945 2022/10/11 00:33:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:33:41 - mmengine - INFO - Epoch(train) [123][550/586] lr: 5.000000e-04 eta: 5:20:06 time: 0.397712 data_time: 0.025954 memory: 15677 loss_kpt: 0.016876 acc_pose: 0.712469 loss: 0.016876 2022/10/11 00:33:55 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:34:16 - mmengine - INFO - Epoch(train) [124][50/586] lr: 5.000000e-04 eta: 5:19:26 time: 0.406537 data_time: 0.029548 memory: 15677 loss_kpt: 0.016925 acc_pose: 0.695679 loss: 0.016925 2022/10/11 00:34:36 - mmengine - INFO - Epoch(train) [124][100/586] lr: 5.000000e-04 eta: 5:19:08 time: 0.398228 data_time: 0.026190 memory: 15677 loss_kpt: 0.016902 acc_pose: 0.737907 loss: 0.016902 2022/10/11 00:34:56 - mmengine - INFO - Epoch(train) [124][150/586] lr: 5.000000e-04 eta: 5:18:50 time: 0.398834 data_time: 0.025064 memory: 15677 loss_kpt: 0.016877 acc_pose: 0.604807 loss: 0.016877 2022/10/11 00:35:16 - mmengine - INFO - Epoch(train) [124][200/586] lr: 5.000000e-04 eta: 5:18:32 time: 0.400332 data_time: 0.024216 memory: 15677 loss_kpt: 0.016847 acc_pose: 0.684341 loss: 0.016847 2022/10/11 00:35:36 - mmengine - INFO - Epoch(train) [124][250/586] lr: 5.000000e-04 eta: 5:18:14 time: 0.399041 data_time: 0.030097 memory: 15677 loss_kpt: 0.017251 acc_pose: 0.671461 loss: 0.017251 2022/10/11 00:35:56 - mmengine - INFO - Epoch(train) [124][300/586] lr: 5.000000e-04 eta: 5:17:56 time: 0.399951 data_time: 0.025743 memory: 15677 loss_kpt: 0.017050 acc_pose: 0.716507 loss: 0.017050 2022/10/11 00:36:15 - mmengine - INFO - Epoch(train) [124][350/586] lr: 5.000000e-04 eta: 5:17:37 time: 0.397002 data_time: 0.026487 memory: 15677 loss_kpt: 0.016858 acc_pose: 0.639537 loss: 0.016858 2022/10/11 00:36:36 - mmengine - INFO - Epoch(train) [124][400/586] lr: 5.000000e-04 eta: 5:17:19 time: 0.401267 data_time: 0.026673 memory: 15677 loss_kpt: 0.017160 acc_pose: 0.683463 loss: 0.017160 2022/10/11 00:36:56 - mmengine - INFO - Epoch(train) [124][450/586] lr: 5.000000e-04 eta: 5:17:01 time: 0.400676 data_time: 0.027843 memory: 15677 loss_kpt: 0.016876 acc_pose: 0.702189 loss: 0.016876 2022/10/11 00:37:15 - mmengine - INFO - Epoch(train) [124][500/586] lr: 5.000000e-04 eta: 5:16:43 time: 0.396655 data_time: 0.024876 memory: 15677 loss_kpt: 0.016718 acc_pose: 0.748846 loss: 0.016718 2022/10/11 00:37:36 - mmengine - INFO - Epoch(train) [124][550/586] lr: 5.000000e-04 eta: 5:16:25 time: 0.401237 data_time: 0.025675 memory: 15677 loss_kpt: 0.016695 acc_pose: 0.632564 loss: 0.016695 2022/10/11 00:37:50 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:38:10 - mmengine - INFO - Epoch(train) [125][50/586] lr: 5.000000e-04 eta: 5:15:45 time: 0.414347 data_time: 0.036090 memory: 15677 loss_kpt: 0.016494 acc_pose: 0.669422 loss: 0.016494 2022/10/11 00:38:30 - mmengine - INFO - Epoch(train) [125][100/586] lr: 5.000000e-04 eta: 5:15:27 time: 0.401531 data_time: 0.025963 memory: 15677 loss_kpt: 0.017489 acc_pose: 0.645897 loss: 0.017489 2022/10/11 00:38:50 - mmengine - INFO - Epoch(train) [125][150/586] lr: 5.000000e-04 eta: 5:15:09 time: 0.397107 data_time: 0.027320 memory: 15677 loss_kpt: 0.016824 acc_pose: 0.642138 loss: 0.016824 2022/10/11 00:39:10 - mmengine - INFO - Epoch(train) [125][200/586] lr: 5.000000e-04 eta: 5:14:51 time: 0.402201 data_time: 0.024296 memory: 15677 loss_kpt: 0.016917 acc_pose: 0.704971 loss: 0.016917 2022/10/11 00:39:31 - mmengine - INFO - Epoch(train) [125][250/586] lr: 5.000000e-04 eta: 5:14:33 time: 0.402551 data_time: 0.025084 memory: 15677 loss_kpt: 0.017298 acc_pose: 0.689988 loss: 0.017298 2022/10/11 00:39:50 - mmengine - INFO - Epoch(train) [125][300/586] lr: 5.000000e-04 eta: 5:14:15 time: 0.399028 data_time: 0.027677 memory: 15677 loss_kpt: 0.016783 acc_pose: 0.804451 loss: 0.016783 2022/10/11 00:40:05 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:40:11 - mmengine - INFO - Epoch(train) [125][350/586] lr: 5.000000e-04 eta: 5:13:57 time: 0.400731 data_time: 0.024516 memory: 15677 loss_kpt: 0.016735 acc_pose: 0.710369 loss: 0.016735 2022/10/11 00:40:31 - mmengine - INFO - Epoch(train) [125][400/586] lr: 5.000000e-04 eta: 5:13:39 time: 0.401005 data_time: 0.024543 memory: 15677 loss_kpt: 0.016885 acc_pose: 0.623889 loss: 0.016885 2022/10/11 00:40:50 - mmengine - INFO - Epoch(train) [125][450/586] lr: 5.000000e-04 eta: 5:13:21 time: 0.396344 data_time: 0.029454 memory: 15677 loss_kpt: 0.016658 acc_pose: 0.664936 loss: 0.016658 2022/10/11 00:41:11 - mmengine - INFO - Epoch(train) [125][500/586] lr: 5.000000e-04 eta: 5:13:03 time: 0.406621 data_time: 0.029402 memory: 15677 loss_kpt: 0.016757 acc_pose: 0.710065 loss: 0.016757 2022/10/11 00:41:31 - mmengine - INFO - Epoch(train) [125][550/586] lr: 5.000000e-04 eta: 5:12:45 time: 0.399639 data_time: 0.024913 memory: 15677 loss_kpt: 0.016445 acc_pose: 0.688849 loss: 0.016445 2022/10/11 00:41:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:42:06 - mmengine - INFO - Epoch(train) [126][50/586] lr: 5.000000e-04 eta: 5:12:05 time: 0.417309 data_time: 0.031651 memory: 15677 loss_kpt: 0.016772 acc_pose: 0.673303 loss: 0.016772 2022/10/11 00:42:25 - mmengine - INFO - Epoch(train) [126][100/586] lr: 5.000000e-04 eta: 5:11:47 time: 0.397015 data_time: 0.024701 memory: 15677 loss_kpt: 0.017032 acc_pose: 0.743851 loss: 0.017032 2022/10/11 00:42:46 - mmengine - INFO - Epoch(train) [126][150/586] lr: 5.000000e-04 eta: 5:11:29 time: 0.400708 data_time: 0.024922 memory: 15677 loss_kpt: 0.016394 acc_pose: 0.720391 loss: 0.016394 2022/10/11 00:43:06 - mmengine - INFO - Epoch(train) [126][200/586] lr: 5.000000e-04 eta: 5:11:11 time: 0.400959 data_time: 0.031143 memory: 15677 loss_kpt: 0.016998 acc_pose: 0.665476 loss: 0.016998 2022/10/11 00:43:26 - mmengine - INFO - Epoch(train) [126][250/586] lr: 5.000000e-04 eta: 5:10:53 time: 0.399276 data_time: 0.024921 memory: 15677 loss_kpt: 0.016889 acc_pose: 0.691782 loss: 0.016889 2022/10/11 00:43:45 - mmengine - INFO - Epoch(train) [126][300/586] lr: 5.000000e-04 eta: 5:10:35 time: 0.396008 data_time: 0.025177 memory: 15677 loss_kpt: 0.016590 acc_pose: 0.575825 loss: 0.016590 2022/10/11 00:44:05 - mmengine - INFO - Epoch(train) [126][350/586] lr: 5.000000e-04 eta: 5:10:17 time: 0.402709 data_time: 0.024801 memory: 15677 loss_kpt: 0.016977 acc_pose: 0.662604 loss: 0.016977 2022/10/11 00:44:25 - mmengine - INFO - Epoch(train) [126][400/586] lr: 5.000000e-04 eta: 5:09:59 time: 0.397881 data_time: 0.030007 memory: 15677 loss_kpt: 0.017092 acc_pose: 0.667826 loss: 0.017092 2022/10/11 00:44:45 - mmengine - INFO - Epoch(train) [126][450/586] lr: 5.000000e-04 eta: 5:09:41 time: 0.399958 data_time: 0.027075 memory: 15677 loss_kpt: 0.017063 acc_pose: 0.765326 loss: 0.017063 2022/10/11 00:45:05 - mmengine - INFO - Epoch(train) [126][500/586] lr: 5.000000e-04 eta: 5:09:22 time: 0.398532 data_time: 0.026118 memory: 15677 loss_kpt: 0.016555 acc_pose: 0.770691 loss: 0.016555 2022/10/11 00:45:25 - mmengine - INFO - Epoch(train) [126][550/586] lr: 5.000000e-04 eta: 5:09:04 time: 0.396309 data_time: 0.024505 memory: 15677 loss_kpt: 0.016812 acc_pose: 0.663643 loss: 0.016812 2022/10/11 00:45:40 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:46:00 - mmengine - INFO - Epoch(train) [127][50/586] lr: 5.000000e-04 eta: 5:08:24 time: 0.412807 data_time: 0.038475 memory: 15677 loss_kpt: 0.016540 acc_pose: 0.685166 loss: 0.016540 2022/10/11 00:46:20 - mmengine - INFO - Epoch(train) [127][100/586] lr: 5.000000e-04 eta: 5:08:06 time: 0.401828 data_time: 0.024070 memory: 15677 loss_kpt: 0.016985 acc_pose: 0.700049 loss: 0.016985 2022/10/11 00:46:40 - mmengine - INFO - Epoch(train) [127][150/586] lr: 5.000000e-04 eta: 5:07:48 time: 0.395762 data_time: 0.024495 memory: 15677 loss_kpt: 0.016634 acc_pose: 0.724674 loss: 0.016634 2022/10/11 00:46:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:47:00 - mmengine - INFO - Epoch(train) [127][200/586] lr: 5.000000e-04 eta: 5:07:30 time: 0.406451 data_time: 0.026561 memory: 15677 loss_kpt: 0.017303 acc_pose: 0.620665 loss: 0.017303 2022/10/11 00:47:21 - mmengine - INFO - Epoch(train) [127][250/586] lr: 5.000000e-04 eta: 5:07:12 time: 0.404540 data_time: 0.027180 memory: 15677 loss_kpt: 0.017042 acc_pose: 0.647035 loss: 0.017042 2022/10/11 00:47:41 - mmengine - INFO - Epoch(train) [127][300/586] lr: 5.000000e-04 eta: 5:06:54 time: 0.396904 data_time: 0.024630 memory: 15677 loss_kpt: 0.016715 acc_pose: 0.711310 loss: 0.016715 2022/10/11 00:48:00 - mmengine - INFO - Epoch(train) [127][350/586] lr: 5.000000e-04 eta: 5:06:36 time: 0.396130 data_time: 0.025572 memory: 15677 loss_kpt: 0.016990 acc_pose: 0.679401 loss: 0.016990 2022/10/11 00:48:20 - mmengine - INFO - Epoch(train) [127][400/586] lr: 5.000000e-04 eta: 5:06:18 time: 0.399123 data_time: 0.024060 memory: 15677 loss_kpt: 0.017116 acc_pose: 0.714523 loss: 0.017116 2022/10/11 00:48:40 - mmengine - INFO - Epoch(train) [127][450/586] lr: 5.000000e-04 eta: 5:06:00 time: 0.399347 data_time: 0.025113 memory: 15677 loss_kpt: 0.016962 acc_pose: 0.622909 loss: 0.016962 2022/10/11 00:49:00 - mmengine - INFO - Epoch(train) [127][500/586] lr: 5.000000e-04 eta: 5:05:42 time: 0.402660 data_time: 0.027752 memory: 15677 loss_kpt: 0.016737 acc_pose: 0.761702 loss: 0.016737 2022/10/11 00:49:20 - mmengine - INFO - Epoch(train) [127][550/586] lr: 5.000000e-04 eta: 5:05:24 time: 0.394939 data_time: 0.025395 memory: 15677 loss_kpt: 0.016721 acc_pose: 0.710546 loss: 0.016721 2022/10/11 00:49:34 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:49:55 - mmengine - INFO - Epoch(train) [128][50/586] lr: 5.000000e-04 eta: 5:04:44 time: 0.410028 data_time: 0.034139 memory: 15677 loss_kpt: 0.016933 acc_pose: 0.714821 loss: 0.016933 2022/10/11 00:50:15 - mmengine - INFO - Epoch(train) [128][100/586] lr: 5.000000e-04 eta: 5:04:25 time: 0.399595 data_time: 0.027717 memory: 15677 loss_kpt: 0.016509 acc_pose: 0.712275 loss: 0.016509 2022/10/11 00:50:35 - mmengine - INFO - Epoch(train) [128][150/586] lr: 5.000000e-04 eta: 5:04:08 time: 0.404505 data_time: 0.025662 memory: 15677 loss_kpt: 0.016797 acc_pose: 0.718941 loss: 0.016797 2022/10/11 00:50:55 - mmengine - INFO - Epoch(train) [128][200/586] lr: 5.000000e-04 eta: 5:03:49 time: 0.395329 data_time: 0.024334 memory: 15677 loss_kpt: 0.016685 acc_pose: 0.725932 loss: 0.016685 2022/10/11 00:51:15 - mmengine - INFO - Epoch(train) [128][250/586] lr: 5.000000e-04 eta: 5:03:32 time: 0.407834 data_time: 0.027180 memory: 15677 loss_kpt: 0.017068 acc_pose: 0.752776 loss: 0.017068 2022/10/11 00:51:35 - mmengine - INFO - Epoch(train) [128][300/586] lr: 5.000000e-04 eta: 5:03:13 time: 0.393603 data_time: 0.024750 memory: 15677 loss_kpt: 0.016319 acc_pose: 0.741598 loss: 0.016319 2022/10/11 00:51:55 - mmengine - INFO - Epoch(train) [128][350/586] lr: 5.000000e-04 eta: 5:02:56 time: 0.408137 data_time: 0.032617 memory: 15677 loss_kpt: 0.016884 acc_pose: 0.658419 loss: 0.016884 2022/10/11 00:52:15 - mmengine - INFO - Epoch(train) [128][400/586] lr: 5.000000e-04 eta: 5:02:37 time: 0.394918 data_time: 0.024507 memory: 15677 loss_kpt: 0.016625 acc_pose: 0.773035 loss: 0.016625 2022/10/11 00:52:36 - mmengine - INFO - Epoch(train) [128][450/586] lr: 5.000000e-04 eta: 5:02:20 time: 0.409707 data_time: 0.031235 memory: 15677 loss_kpt: 0.017136 acc_pose: 0.601288 loss: 0.017136 2022/10/11 00:52:56 - mmengine - INFO - Epoch(train) [128][500/586] lr: 5.000000e-04 eta: 5:02:01 time: 0.398778 data_time: 0.024863 memory: 15677 loss_kpt: 0.016881 acc_pose: 0.702674 loss: 0.016881 2022/10/11 00:53:16 - mmengine - INFO - Epoch(train) [128][550/586] lr: 5.000000e-04 eta: 5:01:43 time: 0.400964 data_time: 0.025060 memory: 15677 loss_kpt: 0.016651 acc_pose: 0.668772 loss: 0.016651 2022/10/11 00:53:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:53:30 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:53:50 - mmengine - INFO - Epoch(train) [129][50/586] lr: 5.000000e-04 eta: 5:01:03 time: 0.407848 data_time: 0.039701 memory: 15677 loss_kpt: 0.016854 acc_pose: 0.710581 loss: 0.016854 2022/10/11 00:54:10 - mmengine - INFO - Epoch(train) [129][100/586] lr: 5.000000e-04 eta: 5:00:45 time: 0.404024 data_time: 0.024364 memory: 15677 loss_kpt: 0.017151 acc_pose: 0.654903 loss: 0.017151 2022/10/11 00:54:30 - mmengine - INFO - Epoch(train) [129][150/586] lr: 5.000000e-04 eta: 5:00:27 time: 0.400484 data_time: 0.026021 memory: 15677 loss_kpt: 0.016628 acc_pose: 0.649985 loss: 0.016628 2022/10/11 00:54:50 - mmengine - INFO - Epoch(train) [129][200/586] lr: 5.000000e-04 eta: 5:00:09 time: 0.397992 data_time: 0.025515 memory: 15677 loss_kpt: 0.016769 acc_pose: 0.732468 loss: 0.016769 2022/10/11 00:55:10 - mmengine - INFO - Epoch(train) [129][250/586] lr: 5.000000e-04 eta: 4:59:51 time: 0.398690 data_time: 0.026573 memory: 15677 loss_kpt: 0.016660 acc_pose: 0.763726 loss: 0.016660 2022/10/11 00:55:30 - mmengine - INFO - Epoch(train) [129][300/586] lr: 5.000000e-04 eta: 4:59:33 time: 0.398576 data_time: 0.026504 memory: 15677 loss_kpt: 0.016517 acc_pose: 0.684753 loss: 0.016517 2022/10/11 00:55:50 - mmengine - INFO - Epoch(train) [129][350/586] lr: 5.000000e-04 eta: 4:59:15 time: 0.402594 data_time: 0.030152 memory: 15677 loss_kpt: 0.016604 acc_pose: 0.690909 loss: 0.016604 2022/10/11 00:56:10 - mmengine - INFO - Epoch(train) [129][400/586] lr: 5.000000e-04 eta: 4:58:57 time: 0.398318 data_time: 0.023463 memory: 15677 loss_kpt: 0.016919 acc_pose: 0.703507 loss: 0.016919 2022/10/11 00:56:30 - mmengine - INFO - Epoch(train) [129][450/586] lr: 5.000000e-04 eta: 4:58:39 time: 0.399174 data_time: 0.024052 memory: 15677 loss_kpt: 0.016647 acc_pose: 0.655278 loss: 0.016647 2022/10/11 00:56:50 - mmengine - INFO - Epoch(train) [129][500/586] lr: 5.000000e-04 eta: 4:58:21 time: 0.394730 data_time: 0.023022 memory: 15677 loss_kpt: 0.016830 acc_pose: 0.694221 loss: 0.016830 2022/10/11 00:57:10 - mmengine - INFO - Epoch(train) [129][550/586] lr: 5.000000e-04 eta: 4:58:03 time: 0.403849 data_time: 0.029888 memory: 15677 loss_kpt: 0.016520 acc_pose: 0.692962 loss: 0.016520 2022/10/11 00:57:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 00:57:45 - mmengine - INFO - Epoch(train) [130][50/586] lr: 5.000000e-04 eta: 4:57:23 time: 0.411369 data_time: 0.036607 memory: 15677 loss_kpt: 0.016438 acc_pose: 0.724344 loss: 0.016438 2022/10/11 00:58:05 - mmengine - INFO - Epoch(train) [130][100/586] lr: 5.000000e-04 eta: 4:57:05 time: 0.396191 data_time: 0.024742 memory: 15677 loss_kpt: 0.016915 acc_pose: 0.751600 loss: 0.016915 2022/10/11 00:58:25 - mmengine - INFO - Epoch(train) [130][150/586] lr: 5.000000e-04 eta: 4:56:46 time: 0.398229 data_time: 0.025499 memory: 15677 loss_kpt: 0.016830 acc_pose: 0.719988 loss: 0.016830 2022/10/11 00:58:45 - mmengine - INFO - Epoch(train) [130][200/586] lr: 5.000000e-04 eta: 4:56:29 time: 0.407919 data_time: 0.029391 memory: 15677 loss_kpt: 0.017039 acc_pose: 0.568184 loss: 0.017039 2022/10/11 00:59:05 - mmengine - INFO - Epoch(train) [130][250/586] lr: 5.000000e-04 eta: 4:56:10 time: 0.396580 data_time: 0.024759 memory: 15677 loss_kpt: 0.016508 acc_pose: 0.672351 loss: 0.016508 2022/10/11 00:59:25 - mmengine - INFO - Epoch(train) [130][300/586] lr: 5.000000e-04 eta: 4:55:52 time: 0.399383 data_time: 0.022784 memory: 15677 loss_kpt: 0.016763 acc_pose: 0.713632 loss: 0.016763 2022/10/11 00:59:45 - mmengine - INFO - Epoch(train) [130][350/586] lr: 5.000000e-04 eta: 4:55:34 time: 0.396855 data_time: 0.024685 memory: 15677 loss_kpt: 0.017212 acc_pose: 0.694261 loss: 0.017212 2022/10/11 01:00:05 - mmengine - INFO - Epoch(train) [130][400/586] lr: 5.000000e-04 eta: 4:55:16 time: 0.409224 data_time: 0.032874 memory: 15677 loss_kpt: 0.017112 acc_pose: 0.695289 loss: 0.017112 2022/10/11 01:00:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:00:25 - mmengine - INFO - Epoch(train) [130][450/586] lr: 5.000000e-04 eta: 4:54:58 time: 0.401525 data_time: 0.030355 memory: 15677 loss_kpt: 0.016996 acc_pose: 0.606226 loss: 0.016996 2022/10/11 01:00:45 - mmengine - INFO - Epoch(train) [130][500/586] lr: 5.000000e-04 eta: 4:54:40 time: 0.395667 data_time: 0.024069 memory: 15677 loss_kpt: 0.017077 acc_pose: 0.729812 loss: 0.017077 2022/10/11 01:01:05 - mmengine - INFO - Epoch(train) [130][550/586] lr: 5.000000e-04 eta: 4:54:22 time: 0.399562 data_time: 0.024943 memory: 15677 loss_kpt: 0.016396 acc_pose: 0.611780 loss: 0.016396 2022/10/11 01:01:19 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:01:19 - mmengine - INFO - Saving checkpoint at 130 epochs 2022/10/11 01:01:32 - mmengine - INFO - Epoch(val) [130][50/407] eta: 0:01:13 time: 0.204684 data_time: 0.023040 memory: 15677 2022/10/11 01:01:42 - mmengine - INFO - Epoch(val) [130][100/407] eta: 0:00:58 time: 0.189808 data_time: 0.008804 memory: 4213 2022/10/11 01:01:51 - mmengine - INFO - Epoch(val) [130][150/407] eta: 0:00:48 time: 0.189927 data_time: 0.008564 memory: 4213 2022/10/11 01:02:01 - mmengine - INFO - Epoch(val) [130][200/407] eta: 0:00:39 time: 0.189867 data_time: 0.008634 memory: 4213 2022/10/11 01:02:10 - mmengine - INFO - Epoch(val) [130][250/407] eta: 0:00:30 time: 0.193059 data_time: 0.008586 memory: 4213 2022/10/11 01:02:20 - mmengine - INFO - Epoch(val) [130][300/407] eta: 0:00:20 time: 0.190159 data_time: 0.009013 memory: 4213 2022/10/11 01:02:29 - mmengine - INFO - Epoch(val) [130][350/407] eta: 0:00:10 time: 0.190131 data_time: 0.008835 memory: 4213 2022/10/11 01:02:39 - mmengine - INFO - Epoch(val) [130][400/407] eta: 0:00:01 time: 0.189318 data_time: 0.008693 memory: 4213 2022/10/11 01:03:11 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 01:03:24 - mmengine - INFO - Epoch(val) [130][407/407] coco/AP: 0.630207 coco/AP .5: 0.855959 coco/AP .75: 0.702547 coco/AP (M): 0.601529 coco/AP (L): 0.689047 coco/AR: 0.687957 coco/AR .5: 0.898929 coco/AR .75: 0.754723 coco/AR (M): 0.648621 coco/AR (L): 0.743887 2022/10/11 01:03:24 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_120.pth is removed 2022/10/11 01:03:26 - mmengine - INFO - The best checkpoint with 0.6302 coco/AP at 130 epoch is saved to best_coco/AP_epoch_130.pth. 2022/10/11 01:03:46 - mmengine - INFO - Epoch(train) [131][50/586] lr: 5.000000e-04 eta: 4:53:42 time: 0.407180 data_time: 0.031341 memory: 15677 loss_kpt: 0.016713 acc_pose: 0.732698 loss: 0.016713 2022/10/11 01:04:06 - mmengine - INFO - Epoch(train) [131][100/586] lr: 5.000000e-04 eta: 4:53:24 time: 0.398362 data_time: 0.026318 memory: 15677 loss_kpt: 0.017614 acc_pose: 0.619868 loss: 0.017614 2022/10/11 01:04:26 - mmengine - INFO - Epoch(train) [131][150/586] lr: 5.000000e-04 eta: 4:53:06 time: 0.397114 data_time: 0.026514 memory: 15677 loss_kpt: 0.017064 acc_pose: 0.758663 loss: 0.017064 2022/10/11 01:04:46 - mmengine - INFO - Epoch(train) [131][200/586] lr: 5.000000e-04 eta: 4:52:48 time: 0.400298 data_time: 0.024487 memory: 15677 loss_kpt: 0.017045 acc_pose: 0.737019 loss: 0.017045 2022/10/11 01:05:06 - mmengine - INFO - Epoch(train) [131][250/586] lr: 5.000000e-04 eta: 4:52:30 time: 0.399676 data_time: 0.026250 memory: 15677 loss_kpt: 0.016464 acc_pose: 0.641536 loss: 0.016464 2022/10/11 01:05:26 - mmengine - INFO - Epoch(train) [131][300/586] lr: 5.000000e-04 eta: 4:52:12 time: 0.402675 data_time: 0.030848 memory: 15677 loss_kpt: 0.016356 acc_pose: 0.733215 loss: 0.016356 2022/10/11 01:05:46 - mmengine - INFO - Epoch(train) [131][350/586] lr: 5.000000e-04 eta: 4:51:53 time: 0.396768 data_time: 0.024500 memory: 15677 loss_kpt: 0.016844 acc_pose: 0.712272 loss: 0.016844 2022/10/11 01:06:06 - mmengine - INFO - Epoch(train) [131][400/586] lr: 5.000000e-04 eta: 4:51:35 time: 0.399315 data_time: 0.025004 memory: 15677 loss_kpt: 0.016356 acc_pose: 0.650061 loss: 0.016356 2022/10/11 01:06:26 - mmengine - INFO - Epoch(train) [131][450/586] lr: 5.000000e-04 eta: 4:51:17 time: 0.397566 data_time: 0.029530 memory: 15677 loss_kpt: 0.017175 acc_pose: 0.590537 loss: 0.017175 2022/10/11 01:06:46 - mmengine - INFO - Epoch(train) [131][500/586] lr: 5.000000e-04 eta: 4:50:59 time: 0.405455 data_time: 0.030566 memory: 15677 loss_kpt: 0.016283 acc_pose: 0.804783 loss: 0.016283 2022/10/11 01:07:06 - mmengine - INFO - Epoch(train) [131][550/586] lr: 5.000000e-04 eta: 4:50:41 time: 0.398027 data_time: 0.025053 memory: 15677 loss_kpt: 0.017041 acc_pose: 0.766152 loss: 0.017041 2022/10/11 01:07:21 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:07:41 - mmengine - INFO - Epoch(train) [132][50/586] lr: 5.000000e-04 eta: 4:50:01 time: 0.401843 data_time: 0.032982 memory: 15677 loss_kpt: 0.017102 acc_pose: 0.708270 loss: 0.017102 2022/10/11 01:08:01 - mmengine - INFO - Epoch(train) [132][100/586] lr: 5.000000e-04 eta: 4:49:43 time: 0.397202 data_time: 0.025973 memory: 15677 loss_kpt: 0.017293 acc_pose: 0.667085 loss: 0.017293 2022/10/11 01:08:21 - mmengine - INFO - Epoch(train) [132][150/586] lr: 5.000000e-04 eta: 4:49:25 time: 0.408135 data_time: 0.025209 memory: 15677 loss_kpt: 0.016861 acc_pose: 0.776684 loss: 0.016861 2022/10/11 01:08:41 - mmengine - INFO - Epoch(train) [132][200/586] lr: 5.000000e-04 eta: 4:49:07 time: 0.401778 data_time: 0.024405 memory: 15677 loss_kpt: 0.016792 acc_pose: 0.618811 loss: 0.016792 2022/10/11 01:08:55 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:09:01 - mmengine - INFO - Epoch(train) [132][250/586] lr: 5.000000e-04 eta: 4:48:49 time: 0.398824 data_time: 0.024638 memory: 15677 loss_kpt: 0.016625 acc_pose: 0.731473 loss: 0.016625 2022/10/11 01:09:21 - mmengine - INFO - Epoch(train) [132][300/586] lr: 5.000000e-04 eta: 4:48:31 time: 0.398403 data_time: 0.025072 memory: 15677 loss_kpt: 0.017026 acc_pose: 0.650935 loss: 0.017026 2022/10/11 01:09:41 - mmengine - INFO - Epoch(train) [132][350/586] lr: 5.000000e-04 eta: 4:48:13 time: 0.399943 data_time: 0.027857 memory: 15677 loss_kpt: 0.016321 acc_pose: 0.584869 loss: 0.016321 2022/10/11 01:10:01 - mmengine - INFO - Epoch(train) [132][400/586] lr: 5.000000e-04 eta: 4:47:55 time: 0.399497 data_time: 0.027167 memory: 15677 loss_kpt: 0.016281 acc_pose: 0.657145 loss: 0.016281 2022/10/11 01:10:21 - mmengine - INFO - Epoch(train) [132][450/586] lr: 5.000000e-04 eta: 4:47:37 time: 0.401263 data_time: 0.024619 memory: 15677 loss_kpt: 0.016954 acc_pose: 0.628879 loss: 0.016954 2022/10/11 01:10:41 - mmengine - INFO - Epoch(train) [132][500/586] lr: 5.000000e-04 eta: 4:47:18 time: 0.397801 data_time: 0.025703 memory: 15677 loss_kpt: 0.017117 acc_pose: 0.640062 loss: 0.017117 2022/10/11 01:11:01 - mmengine - INFO - Epoch(train) [132][550/586] lr: 5.000000e-04 eta: 4:47:00 time: 0.398765 data_time: 0.027520 memory: 15677 loss_kpt: 0.017201 acc_pose: 0.665844 loss: 0.017201 2022/10/11 01:11:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:11:36 - mmengine - INFO - Epoch(train) [133][50/586] lr: 5.000000e-04 eta: 4:46:21 time: 0.417754 data_time: 0.041304 memory: 15677 loss_kpt: 0.016783 acc_pose: 0.669030 loss: 0.016783 2022/10/11 01:11:56 - mmengine - INFO - Epoch(train) [133][100/586] lr: 5.000000e-04 eta: 4:46:03 time: 0.404351 data_time: 0.029495 memory: 15677 loss_kpt: 0.016674 acc_pose: 0.752808 loss: 0.016674 2022/10/11 01:12:16 - mmengine - INFO - Epoch(train) [133][150/586] lr: 5.000000e-04 eta: 4:45:45 time: 0.397860 data_time: 0.025424 memory: 15677 loss_kpt: 0.016945 acc_pose: 0.680256 loss: 0.016945 2022/10/11 01:12:36 - mmengine - INFO - Epoch(train) [133][200/586] lr: 5.000000e-04 eta: 4:45:27 time: 0.402459 data_time: 0.024076 memory: 15677 loss_kpt: 0.016922 acc_pose: 0.660009 loss: 0.016922 2022/10/11 01:12:56 - mmengine - INFO - Epoch(train) [133][250/586] lr: 5.000000e-04 eta: 4:45:09 time: 0.397045 data_time: 0.026760 memory: 15677 loss_kpt: 0.016238 acc_pose: 0.683925 loss: 0.016238 2022/10/11 01:13:16 - mmengine - INFO - Epoch(train) [133][300/586] lr: 5.000000e-04 eta: 4:44:51 time: 0.400279 data_time: 0.024221 memory: 15677 loss_kpt: 0.017045 acc_pose: 0.664062 loss: 0.017045 2022/10/11 01:13:36 - mmengine - INFO - Epoch(train) [133][350/586] lr: 5.000000e-04 eta: 4:44:32 time: 0.399356 data_time: 0.028665 memory: 15677 loss_kpt: 0.016771 acc_pose: 0.695938 loss: 0.016771 2022/10/11 01:13:56 - mmengine - INFO - Epoch(train) [133][400/586] lr: 5.000000e-04 eta: 4:44:14 time: 0.398608 data_time: 0.025328 memory: 15677 loss_kpt: 0.017005 acc_pose: 0.716849 loss: 0.017005 2022/10/11 01:14:17 - mmengine - INFO - Epoch(train) [133][450/586] lr: 5.000000e-04 eta: 4:43:56 time: 0.406814 data_time: 0.030109 memory: 15677 loss_kpt: 0.016814 acc_pose: 0.783439 loss: 0.016814 2022/10/11 01:14:37 - mmengine - INFO - Epoch(train) [133][500/586] lr: 5.000000e-04 eta: 4:43:38 time: 0.399224 data_time: 0.029618 memory: 15677 loss_kpt: 0.016666 acc_pose: 0.677390 loss: 0.016666 2022/10/11 01:14:57 - mmengine - INFO - Epoch(train) [133][550/586] lr: 5.000000e-04 eta: 4:43:20 time: 0.401662 data_time: 0.026349 memory: 15677 loss_kpt: 0.016734 acc_pose: 0.749020 loss: 0.016734 2022/10/11 01:15:11 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:15:32 - mmengine - INFO - Epoch(train) [134][50/586] lr: 5.000000e-04 eta: 4:42:41 time: 0.413593 data_time: 0.042205 memory: 15677 loss_kpt: 0.016770 acc_pose: 0.660220 loss: 0.016770 2022/10/11 01:15:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:15:51 - mmengine - INFO - Epoch(train) [134][100/586] lr: 5.000000e-04 eta: 4:42:23 time: 0.397331 data_time: 0.024722 memory: 15677 loss_kpt: 0.016219 acc_pose: 0.662103 loss: 0.016219 2022/10/11 01:16:11 - mmengine - INFO - Epoch(train) [134][150/586] lr: 5.000000e-04 eta: 4:42:04 time: 0.399260 data_time: 0.024491 memory: 15677 loss_kpt: 0.017020 acc_pose: 0.711557 loss: 0.017020 2022/10/11 01:16:31 - mmengine - INFO - Epoch(train) [134][200/586] lr: 5.000000e-04 eta: 4:41:46 time: 0.398802 data_time: 0.026882 memory: 15677 loss_kpt: 0.016406 acc_pose: 0.671544 loss: 0.016406 2022/10/11 01:16:51 - mmengine - INFO - Epoch(train) [134][250/586] lr: 5.000000e-04 eta: 4:41:28 time: 0.399451 data_time: 0.029518 memory: 15677 loss_kpt: 0.017250 acc_pose: 0.763536 loss: 0.017250 2022/10/11 01:17:11 - mmengine - INFO - Epoch(train) [134][300/586] lr: 5.000000e-04 eta: 4:41:10 time: 0.402627 data_time: 0.025735 memory: 15677 loss_kpt: 0.016775 acc_pose: 0.658725 loss: 0.016775 2022/10/11 01:17:31 - mmengine - INFO - Epoch(train) [134][350/586] lr: 5.000000e-04 eta: 4:40:52 time: 0.399336 data_time: 0.024158 memory: 15677 loss_kpt: 0.016846 acc_pose: 0.746141 loss: 0.016846 2022/10/11 01:17:51 - mmengine - INFO - Epoch(train) [134][400/586] lr: 5.000000e-04 eta: 4:40:34 time: 0.397285 data_time: 0.025193 memory: 15677 loss_kpt: 0.016421 acc_pose: 0.749668 loss: 0.016421 2022/10/11 01:18:11 - mmengine - INFO - Epoch(train) [134][450/586] lr: 5.000000e-04 eta: 4:40:16 time: 0.400922 data_time: 0.025194 memory: 15677 loss_kpt: 0.016333 acc_pose: 0.754509 loss: 0.016333 2022/10/11 01:18:31 - mmengine - INFO - Epoch(train) [134][500/586] lr: 5.000000e-04 eta: 4:39:58 time: 0.402525 data_time: 0.029582 memory: 15677 loss_kpt: 0.016642 acc_pose: 0.737127 loss: 0.016642 2022/10/11 01:18:51 - mmengine - INFO - Epoch(train) [134][550/586] lr: 5.000000e-04 eta: 4:39:39 time: 0.396746 data_time: 0.023916 memory: 15677 loss_kpt: 0.016721 acc_pose: 0.705052 loss: 0.016721 2022/10/11 01:19:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:19:26 - mmengine - INFO - Epoch(train) [135][50/586] lr: 5.000000e-04 eta: 4:39:00 time: 0.405016 data_time: 0.033844 memory: 15677 loss_kpt: 0.016833 acc_pose: 0.725936 loss: 0.016833 2022/10/11 01:19:46 - mmengine - INFO - Epoch(train) [135][100/586] lr: 5.000000e-04 eta: 4:38:42 time: 0.403070 data_time: 0.027434 memory: 15677 loss_kpt: 0.016630 acc_pose: 0.621752 loss: 0.016630 2022/10/11 01:20:06 - mmengine - INFO - Epoch(train) [135][150/586] lr: 5.000000e-04 eta: 4:38:24 time: 0.405648 data_time: 0.032534 memory: 15677 loss_kpt: 0.016879 acc_pose: 0.772464 loss: 0.016879 2022/10/11 01:20:26 - mmengine - INFO - Epoch(train) [135][200/586] lr: 5.000000e-04 eta: 4:38:06 time: 0.397475 data_time: 0.025677 memory: 15677 loss_kpt: 0.016605 acc_pose: 0.699304 loss: 0.016605 2022/10/11 01:20:46 - mmengine - INFO - Epoch(train) [135][250/586] lr: 5.000000e-04 eta: 4:37:48 time: 0.404353 data_time: 0.024678 memory: 15677 loss_kpt: 0.016579 acc_pose: 0.734028 loss: 0.016579 2022/10/11 01:21:06 - mmengine - INFO - Epoch(train) [135][300/586] lr: 5.000000e-04 eta: 4:37:29 time: 0.395238 data_time: 0.024365 memory: 15677 loss_kpt: 0.016699 acc_pose: 0.779378 loss: 0.016699 2022/10/11 01:21:26 - mmengine - INFO - Epoch(train) [135][350/586] lr: 5.000000e-04 eta: 4:37:11 time: 0.402863 data_time: 0.025623 memory: 15677 loss_kpt: 0.016637 acc_pose: 0.689485 loss: 0.016637 2022/10/11 01:21:46 - mmengine - INFO - Epoch(train) [135][400/586] lr: 5.000000e-04 eta: 4:36:53 time: 0.396836 data_time: 0.024093 memory: 15677 loss_kpt: 0.016504 acc_pose: 0.691041 loss: 0.016504 2022/10/11 01:22:06 - mmengine - INFO - Epoch(train) [135][450/586] lr: 5.000000e-04 eta: 4:36:35 time: 0.403547 data_time: 0.027513 memory: 15677 loss_kpt: 0.016775 acc_pose: 0.798535 loss: 0.016775 2022/10/11 01:22:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:22:26 - mmengine - INFO - Epoch(train) [135][500/586] lr: 5.000000e-04 eta: 4:36:17 time: 0.398051 data_time: 0.025007 memory: 15677 loss_kpt: 0.017026 acc_pose: 0.743458 loss: 0.017026 2022/10/11 01:22:47 - mmengine - INFO - Epoch(train) [135][550/586] lr: 5.000000e-04 eta: 4:35:59 time: 0.403006 data_time: 0.024648 memory: 15677 loss_kpt: 0.016621 acc_pose: 0.701188 loss: 0.016621 2022/10/11 01:23:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:23:21 - mmengine - INFO - Epoch(train) [136][50/586] lr: 5.000000e-04 eta: 4:35:20 time: 0.409284 data_time: 0.035567 memory: 15677 loss_kpt: 0.016608 acc_pose: 0.669458 loss: 0.016608 2022/10/11 01:23:41 - mmengine - INFO - Epoch(train) [136][100/586] lr: 5.000000e-04 eta: 4:35:02 time: 0.398875 data_time: 0.024944 memory: 15677 loss_kpt: 0.016690 acc_pose: 0.685519 loss: 0.016690 2022/10/11 01:24:01 - mmengine - INFO - Epoch(train) [136][150/586] lr: 5.000000e-04 eta: 4:34:43 time: 0.400095 data_time: 0.024568 memory: 15677 loss_kpt: 0.016820 acc_pose: 0.708345 loss: 0.016820 2022/10/11 01:24:21 - mmengine - INFO - Epoch(train) [136][200/586] lr: 5.000000e-04 eta: 4:34:25 time: 0.400126 data_time: 0.028542 memory: 15677 loss_kpt: 0.016077 acc_pose: 0.783115 loss: 0.016077 2022/10/11 01:24:41 - mmengine - INFO - Epoch(train) [136][250/586] lr: 5.000000e-04 eta: 4:34:07 time: 0.401524 data_time: 0.026936 memory: 15677 loss_kpt: 0.016772 acc_pose: 0.612877 loss: 0.016772 2022/10/11 01:25:01 - mmengine - INFO - Epoch(train) [136][300/586] lr: 5.000000e-04 eta: 4:33:49 time: 0.397784 data_time: 0.024414 memory: 15677 loss_kpt: 0.016662 acc_pose: 0.674591 loss: 0.016662 2022/10/11 01:25:21 - mmengine - INFO - Epoch(train) [136][350/586] lr: 5.000000e-04 eta: 4:33:31 time: 0.402256 data_time: 0.028914 memory: 15677 loss_kpt: 0.016858 acc_pose: 0.525278 loss: 0.016858 2022/10/11 01:25:41 - mmengine - INFO - Epoch(train) [136][400/586] lr: 5.000000e-04 eta: 4:33:13 time: 0.398039 data_time: 0.025180 memory: 15677 loss_kpt: 0.016804 acc_pose: 0.748525 loss: 0.016804 2022/10/11 01:26:01 - mmengine - INFO - Epoch(train) [136][450/586] lr: 5.000000e-04 eta: 4:32:54 time: 0.400016 data_time: 0.029084 memory: 15677 loss_kpt: 0.016618 acc_pose: 0.685000 loss: 0.016618 2022/10/11 01:26:21 - mmengine - INFO - Epoch(train) [136][500/586] lr: 5.000000e-04 eta: 4:32:36 time: 0.402082 data_time: 0.024639 memory: 15677 loss_kpt: 0.016687 acc_pose: 0.736713 loss: 0.016687 2022/10/11 01:26:42 - mmengine - INFO - Epoch(train) [136][550/586] lr: 5.000000e-04 eta: 4:32:18 time: 0.401566 data_time: 0.025650 memory: 15677 loss_kpt: 0.016583 acc_pose: 0.624752 loss: 0.016583 2022/10/11 01:26:56 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:27:17 - mmengine - INFO - Epoch(train) [137][50/586] lr: 5.000000e-04 eta: 4:31:40 time: 0.421782 data_time: 0.043843 memory: 15677 loss_kpt: 0.016830 acc_pose: 0.675337 loss: 0.016830 2022/10/11 01:27:37 - mmengine - INFO - Epoch(train) [137][100/586] lr: 5.000000e-04 eta: 4:31:21 time: 0.400614 data_time: 0.024511 memory: 15677 loss_kpt: 0.016425 acc_pose: 0.663473 loss: 0.016425 2022/10/11 01:27:57 - mmengine - INFO - Epoch(train) [137][150/586] lr: 5.000000e-04 eta: 4:31:03 time: 0.400422 data_time: 0.026173 memory: 15677 loss_kpt: 0.016871 acc_pose: 0.697301 loss: 0.016871 2022/10/11 01:28:17 - mmengine - INFO - Epoch(train) [137][200/586] lr: 5.000000e-04 eta: 4:30:45 time: 0.401549 data_time: 0.026144 memory: 15677 loss_kpt: 0.016611 acc_pose: 0.651321 loss: 0.016611 2022/10/11 01:28:37 - mmengine - INFO - Epoch(train) [137][250/586] lr: 5.000000e-04 eta: 4:30:27 time: 0.401490 data_time: 0.027680 memory: 15677 loss_kpt: 0.016723 acc_pose: 0.707568 loss: 0.016723 2022/10/11 01:28:57 - mmengine - INFO - Epoch(train) [137][300/586] lr: 5.000000e-04 eta: 4:30:09 time: 0.396563 data_time: 0.025203 memory: 15677 loss_kpt: 0.016682 acc_pose: 0.690950 loss: 0.016682 2022/10/11 01:28:58 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:29:17 - mmengine - INFO - Epoch(train) [137][350/586] lr: 5.000000e-04 eta: 4:29:50 time: 0.398340 data_time: 0.025157 memory: 15677 loss_kpt: 0.016430 acc_pose: 0.683934 loss: 0.016430 2022/10/11 01:29:37 - mmengine - INFO - Epoch(train) [137][400/586] lr: 5.000000e-04 eta: 4:29:32 time: 0.399387 data_time: 0.026353 memory: 15677 loss_kpt: 0.016463 acc_pose: 0.720083 loss: 0.016463 2022/10/11 01:29:57 - mmengine - INFO - Epoch(train) [137][450/586] lr: 5.000000e-04 eta: 4:29:14 time: 0.399824 data_time: 0.024566 memory: 15677 loss_kpt: 0.016643 acc_pose: 0.714125 loss: 0.016643 2022/10/11 01:30:17 - mmengine - INFO - Epoch(train) [137][500/586] lr: 5.000000e-04 eta: 4:28:56 time: 0.399972 data_time: 0.027665 memory: 15677 loss_kpt: 0.017124 acc_pose: 0.654403 loss: 0.017124 2022/10/11 01:30:37 - mmengine - INFO - Epoch(train) [137][550/586] lr: 5.000000e-04 eta: 4:28:38 time: 0.400463 data_time: 0.025661 memory: 15677 loss_kpt: 0.016961 acc_pose: 0.701949 loss: 0.016961 2022/10/11 01:30:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:31:12 - mmengine - INFO - Epoch(train) [138][50/586] lr: 5.000000e-04 eta: 4:27:59 time: 0.419168 data_time: 0.034657 memory: 15677 loss_kpt: 0.016553 acc_pose: 0.722352 loss: 0.016553 2022/10/11 01:31:32 - mmengine - INFO - Epoch(train) [138][100/586] lr: 5.000000e-04 eta: 4:27:41 time: 0.397013 data_time: 0.025395 memory: 15677 loss_kpt: 0.016563 acc_pose: 0.660812 loss: 0.016563 2022/10/11 01:31:52 - mmengine - INFO - Epoch(train) [138][150/586] lr: 5.000000e-04 eta: 4:27:23 time: 0.399157 data_time: 0.026879 memory: 15677 loss_kpt: 0.017029 acc_pose: 0.611241 loss: 0.017029 2022/10/11 01:32:11 - mmengine - INFO - Epoch(train) [138][200/586] lr: 5.000000e-04 eta: 4:27:05 time: 0.398726 data_time: 0.024964 memory: 15677 loss_kpt: 0.016399 acc_pose: 0.721754 loss: 0.016399 2022/10/11 01:32:32 - mmengine - INFO - Epoch(train) [138][250/586] lr: 5.000000e-04 eta: 4:26:46 time: 0.402219 data_time: 0.025138 memory: 15677 loss_kpt: 0.016317 acc_pose: 0.737416 loss: 0.016317 2022/10/11 01:32:51 - mmengine - INFO - Epoch(train) [138][300/586] lr: 5.000000e-04 eta: 4:26:28 time: 0.396373 data_time: 0.025442 memory: 15677 loss_kpt: 0.016982 acc_pose: 0.654888 loss: 0.016982 2022/10/11 01:33:11 - mmengine - INFO - Epoch(train) [138][350/586] lr: 5.000000e-04 eta: 4:26:10 time: 0.398337 data_time: 0.026457 memory: 15677 loss_kpt: 0.017023 acc_pose: 0.661904 loss: 0.017023 2022/10/11 01:33:32 - mmengine - INFO - Epoch(train) [138][400/586] lr: 5.000000e-04 eta: 4:25:52 time: 0.404681 data_time: 0.032065 memory: 15677 loss_kpt: 0.017139 acc_pose: 0.724782 loss: 0.017139 2022/10/11 01:33:51 - mmengine - INFO - Epoch(train) [138][450/586] lr: 5.000000e-04 eta: 4:25:33 time: 0.393417 data_time: 0.024923 memory: 15677 loss_kpt: 0.016989 acc_pose: 0.565735 loss: 0.016989 2022/10/11 01:34:12 - mmengine - INFO - Epoch(train) [138][500/586] lr: 5.000000e-04 eta: 4:25:15 time: 0.403981 data_time: 0.024141 memory: 15677 loss_kpt: 0.016352 acc_pose: 0.677731 loss: 0.016352 2022/10/11 01:34:31 - mmengine - INFO - Epoch(train) [138][550/586] lr: 5.000000e-04 eta: 4:24:57 time: 0.397805 data_time: 0.023887 memory: 15677 loss_kpt: 0.016928 acc_pose: 0.683677 loss: 0.016928 2022/10/11 01:34:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:35:06 - mmengine - INFO - Epoch(train) [139][50/586] lr: 5.000000e-04 eta: 4:24:18 time: 0.408255 data_time: 0.034589 memory: 15677 loss_kpt: 0.017318 acc_pose: 0.666871 loss: 0.017318 2022/10/11 01:35:26 - mmengine - INFO - Epoch(train) [139][100/586] lr: 5.000000e-04 eta: 4:24:00 time: 0.394160 data_time: 0.024920 memory: 15677 loss_kpt: 0.016751 acc_pose: 0.657061 loss: 0.016751 2022/10/11 01:35:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:35:46 - mmengine - INFO - Epoch(train) [139][150/586] lr: 5.000000e-04 eta: 4:23:42 time: 0.402632 data_time: 0.024371 memory: 15677 loss_kpt: 0.016917 acc_pose: 0.693019 loss: 0.016917 2022/10/11 01:36:06 - mmengine - INFO - Epoch(train) [139][200/586] lr: 5.000000e-04 eta: 4:23:24 time: 0.395657 data_time: 0.024332 memory: 15677 loss_kpt: 0.016311 acc_pose: 0.704394 loss: 0.016311 2022/10/11 01:36:26 - mmengine - INFO - Epoch(train) [139][250/586] lr: 5.000000e-04 eta: 4:23:06 time: 0.401925 data_time: 0.023825 memory: 15677 loss_kpt: 0.016502 acc_pose: 0.671581 loss: 0.016502 2022/10/11 01:36:46 - mmengine - INFO - Epoch(train) [139][300/586] lr: 5.000000e-04 eta: 4:22:47 time: 0.395723 data_time: 0.026651 memory: 15677 loss_kpt: 0.016718 acc_pose: 0.691784 loss: 0.016718 2022/10/11 01:37:06 - mmengine - INFO - Epoch(train) [139][350/586] lr: 5.000000e-04 eta: 4:22:29 time: 0.399569 data_time: 0.025077 memory: 15677 loss_kpt: 0.015959 acc_pose: 0.615876 loss: 0.015959 2022/10/11 01:37:26 - mmengine - INFO - Epoch(train) [139][400/586] lr: 5.000000e-04 eta: 4:22:11 time: 0.405182 data_time: 0.023955 memory: 15677 loss_kpt: 0.017139 acc_pose: 0.683994 loss: 0.017139 2022/10/11 01:37:46 - mmengine - INFO - Epoch(train) [139][450/586] lr: 5.000000e-04 eta: 4:21:53 time: 0.399726 data_time: 0.028611 memory: 15677 loss_kpt: 0.016736 acc_pose: 0.682530 loss: 0.016736 2022/10/11 01:38:06 - mmengine - INFO - Epoch(train) [139][500/586] lr: 5.000000e-04 eta: 4:21:34 time: 0.401467 data_time: 0.026094 memory: 15677 loss_kpt: 0.016824 acc_pose: 0.700913 loss: 0.016824 2022/10/11 01:38:26 - mmengine - INFO - Epoch(train) [139][550/586] lr: 5.000000e-04 eta: 4:21:16 time: 0.398392 data_time: 0.024481 memory: 15677 loss_kpt: 0.016692 acc_pose: 0.626605 loss: 0.016692 2022/10/11 01:38:40 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:39:01 - mmengine - INFO - Epoch(train) [140][50/586] lr: 5.000000e-04 eta: 4:20:38 time: 0.408918 data_time: 0.032908 memory: 15677 loss_kpt: 0.016640 acc_pose: 0.774686 loss: 0.016640 2022/10/11 01:39:21 - mmengine - INFO - Epoch(train) [140][100/586] lr: 5.000000e-04 eta: 4:20:20 time: 0.399912 data_time: 0.029784 memory: 15677 loss_kpt: 0.016560 acc_pose: 0.746406 loss: 0.016560 2022/10/11 01:39:41 - mmengine - INFO - Epoch(train) [140][150/586] lr: 5.000000e-04 eta: 4:20:01 time: 0.401556 data_time: 0.025306 memory: 15677 loss_kpt: 0.016893 acc_pose: 0.694184 loss: 0.016893 2022/10/11 01:40:01 - mmengine - INFO - Epoch(train) [140][200/586] lr: 5.000000e-04 eta: 4:19:43 time: 0.402654 data_time: 0.031092 memory: 15677 loss_kpt: 0.016689 acc_pose: 0.725947 loss: 0.016689 2022/10/11 01:40:21 - mmengine - INFO - Epoch(train) [140][250/586] lr: 5.000000e-04 eta: 4:19:25 time: 0.405443 data_time: 0.025057 memory: 15677 loss_kpt: 0.016359 acc_pose: 0.692143 loss: 0.016359 2022/10/11 01:40:41 - mmengine - INFO - Epoch(train) [140][300/586] lr: 5.000000e-04 eta: 4:19:07 time: 0.396982 data_time: 0.030488 memory: 15677 loss_kpt: 0.016791 acc_pose: 0.688247 loss: 0.016791 2022/10/11 01:41:01 - mmengine - INFO - Epoch(train) [140][350/586] lr: 5.000000e-04 eta: 4:18:49 time: 0.399471 data_time: 0.022817 memory: 15677 loss_kpt: 0.017217 acc_pose: 0.626127 loss: 0.017217 2022/10/11 01:41:21 - mmengine - INFO - Epoch(train) [140][400/586] lr: 5.000000e-04 eta: 4:18:30 time: 0.398867 data_time: 0.025607 memory: 15677 loss_kpt: 0.016389 acc_pose: 0.773545 loss: 0.016389 2022/10/11 01:41:41 - mmengine - INFO - Epoch(train) [140][450/586] lr: 5.000000e-04 eta: 4:18:12 time: 0.402289 data_time: 0.024521 memory: 15677 loss_kpt: 0.016825 acc_pose: 0.726500 loss: 0.016825 2022/10/11 01:42:01 - mmengine - INFO - Epoch(train) [140][500/586] lr: 5.000000e-04 eta: 4:17:54 time: 0.399759 data_time: 0.024829 memory: 15677 loss_kpt: 0.016675 acc_pose: 0.689280 loss: 0.016675 2022/10/11 01:42:20 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:42:21 - mmengine - INFO - Epoch(train) [140][550/586] lr: 5.000000e-04 eta: 4:17:36 time: 0.401978 data_time: 0.024496 memory: 15677 loss_kpt: 0.016883 acc_pose: 0.678406 loss: 0.016883 2022/10/11 01:42:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:42:35 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/10/11 01:42:48 - mmengine - INFO - Epoch(val) [140][50/407] eta: 0:01:11 time: 0.199898 data_time: 0.017564 memory: 15677 2022/10/11 01:42:58 - mmengine - INFO - Epoch(val) [140][100/407] eta: 0:00:59 time: 0.192956 data_time: 0.011330 memory: 4213 2022/10/11 01:43:07 - mmengine - INFO - Epoch(val) [140][150/407] eta: 0:00:48 time: 0.189466 data_time: 0.008588 memory: 4213 2022/10/11 01:43:17 - mmengine - INFO - Epoch(val) [140][200/407] eta: 0:00:39 time: 0.192368 data_time: 0.010628 memory: 4213 2022/10/11 01:43:26 - mmengine - INFO - Epoch(val) [140][250/407] eta: 0:00:29 time: 0.190646 data_time: 0.009892 memory: 4213 2022/10/11 01:43:36 - mmengine - INFO - Epoch(val) [140][300/407] eta: 0:00:20 time: 0.190071 data_time: 0.009173 memory: 4213 2022/10/11 01:43:45 - mmengine - INFO - Epoch(val) [140][350/407] eta: 0:00:10 time: 0.189788 data_time: 0.008905 memory: 4213 2022/10/11 01:43:55 - mmengine - INFO - Epoch(val) [140][400/407] eta: 0:00:01 time: 0.189223 data_time: 0.008711 memory: 4213 2022/10/11 01:44:27 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 01:44:40 - mmengine - INFO - Epoch(val) [140][407/407] coco/AP: 0.629418 coco/AP .5: 0.854013 coco/AP .75: 0.701885 coco/AP (M): 0.598555 coco/AP (L): 0.692916 coco/AR: 0.688712 coco/AR .5: 0.897355 coco/AR .75: 0.756455 coco/AR (M): 0.647173 coco/AR (L): 0.748235 2022/10/11 01:45:00 - mmengine - INFO - Epoch(train) [141][50/586] lr: 5.000000e-04 eta: 4:16:57 time: 0.400307 data_time: 0.031321 memory: 15677 loss_kpt: 0.016629 acc_pose: 0.630666 loss: 0.016629 2022/10/11 01:45:20 - mmengine - INFO - Epoch(train) [141][100/586] lr: 5.000000e-04 eta: 4:16:39 time: 0.401381 data_time: 0.024644 memory: 15677 loss_kpt: 0.016805 acc_pose: 0.657164 loss: 0.016805 2022/10/11 01:45:41 - mmengine - INFO - Epoch(train) [141][150/586] lr: 5.000000e-04 eta: 4:16:21 time: 0.401468 data_time: 0.024518 memory: 15677 loss_kpt: 0.016893 acc_pose: 0.668630 loss: 0.016893 2022/10/11 01:46:00 - mmengine - INFO - Epoch(train) [141][200/586] lr: 5.000000e-04 eta: 4:16:03 time: 0.397688 data_time: 0.026214 memory: 15677 loss_kpt: 0.016559 acc_pose: 0.654629 loss: 0.016559 2022/10/11 01:46:20 - mmengine - INFO - Epoch(train) [141][250/586] lr: 5.000000e-04 eta: 4:15:44 time: 0.401421 data_time: 0.027053 memory: 15677 loss_kpt: 0.016599 acc_pose: 0.702505 loss: 0.016599 2022/10/11 01:46:40 - mmengine - INFO - Epoch(train) [141][300/586] lr: 5.000000e-04 eta: 4:15:26 time: 0.396704 data_time: 0.025281 memory: 15677 loss_kpt: 0.016232 acc_pose: 0.709850 loss: 0.016232 2022/10/11 01:47:01 - mmengine - INFO - Epoch(train) [141][350/586] lr: 5.000000e-04 eta: 4:15:08 time: 0.406099 data_time: 0.024310 memory: 15677 loss_kpt: 0.016219 acc_pose: 0.734262 loss: 0.016219 2022/10/11 01:47:20 - mmengine - INFO - Epoch(train) [141][400/586] lr: 5.000000e-04 eta: 4:14:50 time: 0.393339 data_time: 0.023053 memory: 15677 loss_kpt: 0.016269 acc_pose: 0.725942 loss: 0.016269 2022/10/11 01:47:41 - mmengine - INFO - Epoch(train) [141][450/586] lr: 5.000000e-04 eta: 4:14:31 time: 0.407777 data_time: 0.022803 memory: 15677 loss_kpt: 0.017193 acc_pose: 0.774081 loss: 0.017193 2022/10/11 01:48:00 - mmengine - INFO - Epoch(train) [141][500/586] lr: 5.000000e-04 eta: 4:14:13 time: 0.394527 data_time: 0.024207 memory: 15677 loss_kpt: 0.016416 acc_pose: 0.668410 loss: 0.016416 2022/10/11 01:48:20 - mmengine - INFO - Epoch(train) [141][550/586] lr: 5.000000e-04 eta: 4:13:55 time: 0.399242 data_time: 0.024096 memory: 15677 loss_kpt: 0.016274 acc_pose: 0.568314 loss: 0.016274 2022/10/11 01:48:35 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:48:55 - mmengine - INFO - Epoch(train) [142][50/586] lr: 5.000000e-04 eta: 4:13:16 time: 0.401988 data_time: 0.032610 memory: 15677 loss_kpt: 0.016648 acc_pose: 0.742107 loss: 0.016648 2022/10/11 01:49:15 - mmengine - INFO - Epoch(train) [142][100/586] lr: 5.000000e-04 eta: 4:12:58 time: 0.399521 data_time: 0.023820 memory: 15677 loss_kpt: 0.016903 acc_pose: 0.630326 loss: 0.016903 2022/10/11 01:49:35 - mmengine - INFO - Epoch(train) [142][150/586] lr: 5.000000e-04 eta: 4:12:40 time: 0.393962 data_time: 0.025043 memory: 15677 loss_kpt: 0.016640 acc_pose: 0.659416 loss: 0.016640 2022/10/11 01:49:55 - mmengine - INFO - Epoch(train) [142][200/586] lr: 5.000000e-04 eta: 4:12:22 time: 0.405866 data_time: 0.029075 memory: 15677 loss_kpt: 0.016764 acc_pose: 0.676177 loss: 0.016764 2022/10/11 01:50:15 - mmengine - INFO - Epoch(train) [142][250/586] lr: 5.000000e-04 eta: 4:12:03 time: 0.397800 data_time: 0.024240 memory: 15677 loss_kpt: 0.016670 acc_pose: 0.720662 loss: 0.016670 2022/10/11 01:50:35 - mmengine - INFO - Epoch(train) [142][300/586] lr: 5.000000e-04 eta: 4:11:45 time: 0.396611 data_time: 0.024690 memory: 15677 loss_kpt: 0.016980 acc_pose: 0.707237 loss: 0.016980 2022/10/11 01:50:55 - mmengine - INFO - Epoch(train) [142][350/586] lr: 5.000000e-04 eta: 4:11:27 time: 0.399871 data_time: 0.023984 memory: 15677 loss_kpt: 0.016396 acc_pose: 0.785361 loss: 0.016396 2022/10/11 01:51:04 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:51:15 - mmengine - INFO - Epoch(train) [142][400/586] lr: 5.000000e-04 eta: 4:11:09 time: 0.401159 data_time: 0.023781 memory: 15677 loss_kpt: 0.017029 acc_pose: 0.720130 loss: 0.017029 2022/10/11 01:51:35 - mmengine - INFO - Epoch(train) [142][450/586] lr: 5.000000e-04 eta: 4:10:50 time: 0.401739 data_time: 0.026963 memory: 15677 loss_kpt: 0.017221 acc_pose: 0.689402 loss: 0.017221 2022/10/11 01:51:55 - mmengine - INFO - Epoch(train) [142][500/586] lr: 5.000000e-04 eta: 4:10:32 time: 0.398241 data_time: 0.024144 memory: 15677 loss_kpt: 0.016962 acc_pose: 0.669167 loss: 0.016962 2022/10/11 01:52:15 - mmengine - INFO - Epoch(train) [142][550/586] lr: 5.000000e-04 eta: 4:10:14 time: 0.397902 data_time: 0.024133 memory: 15677 loss_kpt: 0.016363 acc_pose: 0.723160 loss: 0.016363 2022/10/11 01:52:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:52:49 - mmengine - INFO - Epoch(train) [143][50/586] lr: 5.000000e-04 eta: 4:09:36 time: 0.406452 data_time: 0.039011 memory: 15677 loss_kpt: 0.016628 acc_pose: 0.758183 loss: 0.016628 2022/10/11 01:53:09 - mmengine - INFO - Epoch(train) [143][100/586] lr: 5.000000e-04 eta: 4:09:18 time: 0.403820 data_time: 0.024352 memory: 15677 loss_kpt: 0.016785 acc_pose: 0.722928 loss: 0.016785 2022/10/11 01:53:29 - mmengine - INFO - Epoch(train) [143][150/586] lr: 5.000000e-04 eta: 4:08:59 time: 0.396928 data_time: 0.026629 memory: 15677 loss_kpt: 0.016706 acc_pose: 0.715756 loss: 0.016706 2022/10/11 01:53:49 - mmengine - INFO - Epoch(train) [143][200/586] lr: 5.000000e-04 eta: 4:08:41 time: 0.395864 data_time: 0.024707 memory: 15677 loss_kpt: 0.016632 acc_pose: 0.681378 loss: 0.016632 2022/10/11 01:54:09 - mmengine - INFO - Epoch(train) [143][250/586] lr: 5.000000e-04 eta: 4:08:23 time: 0.403410 data_time: 0.031391 memory: 15677 loss_kpt: 0.017015 acc_pose: 0.690947 loss: 0.017015 2022/10/11 01:54:29 - mmengine - INFO - Epoch(train) [143][300/586] lr: 5.000000e-04 eta: 4:08:04 time: 0.399202 data_time: 0.029093 memory: 15677 loss_kpt: 0.017020 acc_pose: 0.663457 loss: 0.017020 2022/10/11 01:54:49 - mmengine - INFO - Epoch(train) [143][350/586] lr: 5.000000e-04 eta: 4:07:46 time: 0.400782 data_time: 0.027445 memory: 15677 loss_kpt: 0.016400 acc_pose: 0.788967 loss: 0.016400 2022/10/11 01:55:09 - mmengine - INFO - Epoch(train) [143][400/586] lr: 5.000000e-04 eta: 4:07:28 time: 0.394924 data_time: 0.026514 memory: 15677 loss_kpt: 0.016715 acc_pose: 0.619431 loss: 0.016715 2022/10/11 01:55:29 - mmengine - INFO - Epoch(train) [143][450/586] lr: 5.000000e-04 eta: 4:07:09 time: 0.399508 data_time: 0.025159 memory: 15677 loss_kpt: 0.016542 acc_pose: 0.648947 loss: 0.016542 2022/10/11 01:55:49 - mmengine - INFO - Epoch(train) [143][500/586] lr: 5.000000e-04 eta: 4:06:51 time: 0.396568 data_time: 0.025050 memory: 15677 loss_kpt: 0.016567 acc_pose: 0.716517 loss: 0.016567 2022/10/11 01:56:09 - mmengine - INFO - Epoch(train) [143][550/586] lr: 5.000000e-04 eta: 4:06:33 time: 0.410684 data_time: 0.024784 memory: 15677 loss_kpt: 0.016368 acc_pose: 0.722583 loss: 0.016368 2022/10/11 01:56:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:56:44 - mmengine - INFO - Epoch(train) [144][50/586] lr: 5.000000e-04 eta: 4:05:55 time: 0.410808 data_time: 0.032093 memory: 15677 loss_kpt: 0.016608 acc_pose: 0.668440 loss: 0.016608 2022/10/11 01:57:04 - mmengine - INFO - Epoch(train) [144][100/586] lr: 5.000000e-04 eta: 4:05:37 time: 0.397661 data_time: 0.025026 memory: 15677 loss_kpt: 0.016585 acc_pose: 0.579039 loss: 0.016585 2022/10/11 01:57:24 - mmengine - INFO - Epoch(train) [144][150/586] lr: 5.000000e-04 eta: 4:05:19 time: 0.403675 data_time: 0.024836 memory: 15677 loss_kpt: 0.016949 acc_pose: 0.618503 loss: 0.016949 2022/10/11 01:57:44 - mmengine - INFO - Epoch(train) [144][200/586] lr: 5.000000e-04 eta: 4:05:01 time: 0.408313 data_time: 0.033934 memory: 15677 loss_kpt: 0.016375 acc_pose: 0.749204 loss: 0.016375 2022/10/11 01:57:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 01:58:04 - mmengine - INFO - Epoch(train) [144][250/586] lr: 5.000000e-04 eta: 4:04:42 time: 0.397155 data_time: 0.024568 memory: 15677 loss_kpt: 0.016226 acc_pose: 0.637900 loss: 0.016226 2022/10/11 01:58:24 - mmengine - INFO - Epoch(train) [144][300/586] lr: 5.000000e-04 eta: 4:04:24 time: 0.395237 data_time: 0.029576 memory: 15677 loss_kpt: 0.016631 acc_pose: 0.613710 loss: 0.016631 2022/10/11 01:58:44 - mmengine - INFO - Epoch(train) [144][350/586] lr: 5.000000e-04 eta: 4:04:06 time: 0.398986 data_time: 0.023232 memory: 15677 loss_kpt: 0.016448 acc_pose: 0.689036 loss: 0.016448 2022/10/11 01:59:04 - mmengine - INFO - Epoch(train) [144][400/586] lr: 5.000000e-04 eta: 4:03:48 time: 0.407607 data_time: 0.023263 memory: 15677 loss_kpt: 0.016770 acc_pose: 0.746474 loss: 0.016770 2022/10/11 01:59:25 - mmengine - INFO - Epoch(train) [144][450/586] lr: 5.000000e-04 eta: 4:03:29 time: 0.404725 data_time: 0.024606 memory: 15677 loss_kpt: 0.016369 acc_pose: 0.677441 loss: 0.016369 2022/10/11 01:59:44 - mmengine - INFO - Epoch(train) [144][500/586] lr: 5.000000e-04 eta: 4:03:11 time: 0.395287 data_time: 0.025648 memory: 15677 loss_kpt: 0.016700 acc_pose: 0.660083 loss: 0.016700 2022/10/11 02:00:04 - mmengine - INFO - Epoch(train) [144][550/586] lr: 5.000000e-04 eta: 4:02:53 time: 0.399134 data_time: 0.024998 memory: 15677 loss_kpt: 0.016044 acc_pose: 0.692296 loss: 0.016044 2022/10/11 02:00:19 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:00:40 - mmengine - INFO - Epoch(train) [145][50/586] lr: 5.000000e-04 eta: 4:02:15 time: 0.422676 data_time: 0.037642 memory: 15677 loss_kpt: 0.016646 acc_pose: 0.731000 loss: 0.016646 2022/10/11 02:01:00 - mmengine - INFO - Epoch(train) [145][100/586] lr: 5.000000e-04 eta: 4:01:57 time: 0.400744 data_time: 0.024780 memory: 15677 loss_kpt: 0.016604 acc_pose: 0.678385 loss: 0.016604 2022/10/11 02:01:20 - mmengine - INFO - Epoch(train) [145][150/586] lr: 5.000000e-04 eta: 4:01:39 time: 0.398890 data_time: 0.025925 memory: 15677 loss_kpt: 0.016507 acc_pose: 0.732869 loss: 0.016507 2022/10/11 02:01:40 - mmengine - INFO - Epoch(train) [145][200/586] lr: 5.000000e-04 eta: 4:01:20 time: 0.399280 data_time: 0.025395 memory: 15677 loss_kpt: 0.016318 acc_pose: 0.620077 loss: 0.016318 2022/10/11 02:02:00 - mmengine - INFO - Epoch(train) [145][250/586] lr: 5.000000e-04 eta: 4:01:02 time: 0.399319 data_time: 0.025472 memory: 15677 loss_kpt: 0.016785 acc_pose: 0.696270 loss: 0.016785 2022/10/11 02:02:20 - mmengine - INFO - Epoch(train) [145][300/586] lr: 5.000000e-04 eta: 4:00:44 time: 0.406763 data_time: 0.028825 memory: 15677 loss_kpt: 0.016725 acc_pose: 0.701719 loss: 0.016725 2022/10/11 02:02:40 - mmengine - INFO - Epoch(train) [145][350/586] lr: 5.000000e-04 eta: 4:00:26 time: 0.397251 data_time: 0.025177 memory: 15677 loss_kpt: 0.016445 acc_pose: 0.734448 loss: 0.016445 2022/10/11 02:03:00 - mmengine - INFO - Epoch(train) [145][400/586] lr: 5.000000e-04 eta: 4:00:07 time: 0.394408 data_time: 0.024797 memory: 15677 loss_kpt: 0.016784 acc_pose: 0.730554 loss: 0.016784 2022/10/11 02:03:20 - mmengine - INFO - Epoch(train) [145][450/586] lr: 5.000000e-04 eta: 3:59:49 time: 0.400921 data_time: 0.025201 memory: 15677 loss_kpt: 0.016160 acc_pose: 0.751145 loss: 0.016160 2022/10/11 02:03:40 - mmengine - INFO - Epoch(train) [145][500/586] lr: 5.000000e-04 eta: 3:59:31 time: 0.403220 data_time: 0.025525 memory: 15677 loss_kpt: 0.016655 acc_pose: 0.621823 loss: 0.016655 2022/10/11 02:04:00 - mmengine - INFO - Epoch(train) [145][550/586] lr: 5.000000e-04 eta: 3:59:12 time: 0.402361 data_time: 0.025802 memory: 15677 loss_kpt: 0.016806 acc_pose: 0.817419 loss: 0.016806 2022/10/11 02:04:14 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:04:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:04:35 - mmengine - INFO - Epoch(train) [146][50/586] lr: 5.000000e-04 eta: 3:58:35 time: 0.403557 data_time: 0.031157 memory: 15677 loss_kpt: 0.016684 acc_pose: 0.679518 loss: 0.016684 2022/10/11 02:04:54 - mmengine - INFO - Epoch(train) [146][100/586] lr: 5.000000e-04 eta: 3:58:16 time: 0.397905 data_time: 0.025363 memory: 15677 loss_kpt: 0.016179 acc_pose: 0.723126 loss: 0.016179 2022/10/11 02:05:15 - mmengine - INFO - Epoch(train) [146][150/586] lr: 5.000000e-04 eta: 3:57:58 time: 0.405519 data_time: 0.025921 memory: 15677 loss_kpt: 0.017233 acc_pose: 0.628115 loss: 0.017233 2022/10/11 02:05:35 - mmengine - INFO - Epoch(train) [146][200/586] lr: 5.000000e-04 eta: 3:57:40 time: 0.405562 data_time: 0.030679 memory: 15677 loss_kpt: 0.015934 acc_pose: 0.715873 loss: 0.015934 2022/10/11 02:05:55 - mmengine - INFO - Epoch(train) [146][250/586] lr: 5.000000e-04 eta: 3:57:21 time: 0.393256 data_time: 0.024729 memory: 15677 loss_kpt: 0.016824 acc_pose: 0.754309 loss: 0.016824 2022/10/11 02:06:15 - mmengine - INFO - Epoch(train) [146][300/586] lr: 5.000000e-04 eta: 3:57:03 time: 0.399353 data_time: 0.026103 memory: 15677 loss_kpt: 0.017110 acc_pose: 0.754027 loss: 0.017110 2022/10/11 02:06:35 - mmengine - INFO - Epoch(train) [146][350/586] lr: 5.000000e-04 eta: 3:56:45 time: 0.397784 data_time: 0.024158 memory: 15677 loss_kpt: 0.016565 acc_pose: 0.591594 loss: 0.016565 2022/10/11 02:06:55 - mmengine - INFO - Epoch(train) [146][400/586] lr: 5.000000e-04 eta: 3:56:27 time: 0.405944 data_time: 0.024618 memory: 15677 loss_kpt: 0.016476 acc_pose: 0.686027 loss: 0.016476 2022/10/11 02:07:15 - mmengine - INFO - Epoch(train) [146][450/586] lr: 5.000000e-04 eta: 3:56:08 time: 0.394616 data_time: 0.025696 memory: 15677 loss_kpt: 0.016615 acc_pose: 0.766595 loss: 0.016615 2022/10/11 02:07:35 - mmengine - INFO - Epoch(train) [146][500/586] lr: 5.000000e-04 eta: 3:55:50 time: 0.397743 data_time: 0.024564 memory: 15677 loss_kpt: 0.016707 acc_pose: 0.690335 loss: 0.016707 2022/10/11 02:07:55 - mmengine - INFO - Epoch(train) [146][550/586] lr: 5.000000e-04 eta: 3:55:32 time: 0.400964 data_time: 0.026086 memory: 15677 loss_kpt: 0.016652 acc_pose: 0.677546 loss: 0.016652 2022/10/11 02:08:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:08:29 - mmengine - INFO - Epoch(train) [147][50/586] lr: 5.000000e-04 eta: 3:54:54 time: 0.414830 data_time: 0.035859 memory: 15677 loss_kpt: 0.016906 acc_pose: 0.639927 loss: 0.016906 2022/10/11 02:08:49 - mmengine - INFO - Epoch(train) [147][100/586] lr: 5.000000e-04 eta: 3:54:36 time: 0.394355 data_time: 0.024701 memory: 15677 loss_kpt: 0.016288 acc_pose: 0.730781 loss: 0.016288 2022/10/11 02:09:09 - mmengine - INFO - Epoch(train) [147][150/586] lr: 5.000000e-04 eta: 3:54:17 time: 0.399324 data_time: 0.028700 memory: 15677 loss_kpt: 0.016025 acc_pose: 0.724570 loss: 0.016025 2022/10/11 02:09:29 - mmengine - INFO - Epoch(train) [147][200/586] lr: 5.000000e-04 eta: 3:53:59 time: 0.400621 data_time: 0.024152 memory: 15677 loss_kpt: 0.016002 acc_pose: 0.712223 loss: 0.016002 2022/10/11 02:09:49 - mmengine - INFO - Epoch(train) [147][250/586] lr: 5.000000e-04 eta: 3:53:41 time: 0.400047 data_time: 0.024441 memory: 15677 loss_kpt: 0.016952 acc_pose: 0.774887 loss: 0.016952 2022/10/11 02:10:09 - mmengine - INFO - Epoch(train) [147][300/586] lr: 5.000000e-04 eta: 3:53:22 time: 0.400627 data_time: 0.024558 memory: 15677 loss_kpt: 0.016569 acc_pose: 0.724348 loss: 0.016569 2022/10/11 02:10:29 - mmengine - INFO - Epoch(train) [147][350/586] lr: 5.000000e-04 eta: 3:53:04 time: 0.391773 data_time: 0.024524 memory: 15677 loss_kpt: 0.016637 acc_pose: 0.611103 loss: 0.016637 2022/10/11 02:10:49 - mmengine - INFO - Epoch(train) [147][400/586] lr: 5.000000e-04 eta: 3:52:46 time: 0.399940 data_time: 0.024160 memory: 15677 loss_kpt: 0.016652 acc_pose: 0.694823 loss: 0.016652 2022/10/11 02:11:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:11:09 - mmengine - INFO - Epoch(train) [147][450/586] lr: 5.000000e-04 eta: 3:52:27 time: 0.395023 data_time: 0.027916 memory: 15677 loss_kpt: 0.016579 acc_pose: 0.637886 loss: 0.016579 2022/10/11 02:11:29 - mmengine - INFO - Epoch(train) [147][500/586] lr: 5.000000e-04 eta: 3:52:09 time: 0.409667 data_time: 0.028262 memory: 15677 loss_kpt: 0.016862 acc_pose: 0.698058 loss: 0.016862 2022/10/11 02:11:49 - mmengine - INFO - Epoch(train) [147][550/586] lr: 5.000000e-04 eta: 3:51:51 time: 0.395940 data_time: 0.024738 memory: 15677 loss_kpt: 0.016947 acc_pose: 0.670635 loss: 0.016947 2022/10/11 02:12:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:12:24 - mmengine - INFO - Epoch(train) [148][50/586] lr: 5.000000e-04 eta: 3:51:13 time: 0.411835 data_time: 0.032230 memory: 15677 loss_kpt: 0.016397 acc_pose: 0.668429 loss: 0.016397 2022/10/11 02:12:44 - mmengine - INFO - Epoch(train) [148][100/586] lr: 5.000000e-04 eta: 3:50:55 time: 0.396738 data_time: 0.024638 memory: 15677 loss_kpt: 0.017002 acc_pose: 0.713813 loss: 0.017002 2022/10/11 02:13:04 - mmengine - INFO - Epoch(train) [148][150/586] lr: 5.000000e-04 eta: 3:50:37 time: 0.403082 data_time: 0.029601 memory: 15677 loss_kpt: 0.016877 acc_pose: 0.709756 loss: 0.016877 2022/10/11 02:13:23 - mmengine - INFO - Epoch(train) [148][200/586] lr: 5.000000e-04 eta: 3:50:18 time: 0.395361 data_time: 0.024340 memory: 15677 loss_kpt: 0.016232 acc_pose: 0.709534 loss: 0.016232 2022/10/11 02:13:43 - mmengine - INFO - Epoch(train) [148][250/586] lr: 5.000000e-04 eta: 3:50:00 time: 0.399702 data_time: 0.027857 memory: 15677 loss_kpt: 0.016884 acc_pose: 0.699966 loss: 0.016884 2022/10/11 02:14:03 - mmengine - INFO - Epoch(train) [148][300/586] lr: 5.000000e-04 eta: 3:49:42 time: 0.399313 data_time: 0.024139 memory: 15677 loss_kpt: 0.016526 acc_pose: 0.686597 loss: 0.016526 2022/10/11 02:14:24 - mmengine - INFO - Epoch(train) [148][350/586] lr: 5.000000e-04 eta: 3:49:23 time: 0.402819 data_time: 0.027678 memory: 15677 loss_kpt: 0.016321 acc_pose: 0.639544 loss: 0.016321 2022/10/11 02:14:44 - mmengine - INFO - Epoch(train) [148][400/586] lr: 5.000000e-04 eta: 3:49:05 time: 0.399448 data_time: 0.024429 memory: 15677 loss_kpt: 0.016265 acc_pose: 0.691907 loss: 0.016265 2022/10/11 02:15:03 - mmengine - INFO - Epoch(train) [148][450/586] lr: 5.000000e-04 eta: 3:48:47 time: 0.396104 data_time: 0.025958 memory: 15677 loss_kpt: 0.016441 acc_pose: 0.663953 loss: 0.016441 2022/10/11 02:15:23 - mmengine - INFO - Epoch(train) [148][500/586] lr: 5.000000e-04 eta: 3:48:28 time: 0.398640 data_time: 0.026332 memory: 15677 loss_kpt: 0.017103 acc_pose: 0.616098 loss: 0.017103 2022/10/11 02:15:43 - mmengine - INFO - Epoch(train) [148][550/586] lr: 5.000000e-04 eta: 3:48:10 time: 0.396369 data_time: 0.023793 memory: 15677 loss_kpt: 0.016352 acc_pose: 0.668350 loss: 0.016352 2022/10/11 02:15:58 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:16:18 - mmengine - INFO - Epoch(train) [149][50/586] lr: 5.000000e-04 eta: 3:47:32 time: 0.398399 data_time: 0.031582 memory: 15677 loss_kpt: 0.016859 acc_pose: 0.729056 loss: 0.016859 2022/10/11 02:16:38 - mmengine - INFO - Epoch(train) [149][100/586] lr: 5.000000e-04 eta: 3:47:14 time: 0.397530 data_time: 0.026415 memory: 15677 loss_kpt: 0.016871 acc_pose: 0.639784 loss: 0.016871 2022/10/11 02:16:58 - mmengine - INFO - Epoch(train) [149][150/586] lr: 5.000000e-04 eta: 3:46:56 time: 0.401868 data_time: 0.024704 memory: 15677 loss_kpt: 0.016786 acc_pose: 0.688240 loss: 0.016786 2022/10/11 02:17:18 - mmengine - INFO - Epoch(train) [149][200/586] lr: 5.000000e-04 eta: 3:46:37 time: 0.399889 data_time: 0.026054 memory: 15677 loss_kpt: 0.016057 acc_pose: 0.712382 loss: 0.016057 2022/10/11 02:17:38 - mmengine - INFO - Epoch(train) [149][250/586] lr: 5.000000e-04 eta: 3:46:19 time: 0.404131 data_time: 0.028364 memory: 15677 loss_kpt: 0.017043 acc_pose: 0.697730 loss: 0.017043 2022/10/11 02:17:47 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:17:58 - mmengine - INFO - Epoch(train) [149][300/586] lr: 5.000000e-04 eta: 3:46:01 time: 0.394412 data_time: 0.026885 memory: 15677 loss_kpt: 0.016607 acc_pose: 0.749099 loss: 0.016607 2022/10/11 02:18:18 - mmengine - INFO - Epoch(train) [149][350/586] lr: 5.000000e-04 eta: 3:45:42 time: 0.404309 data_time: 0.024841 memory: 15677 loss_kpt: 0.016722 acc_pose: 0.683893 loss: 0.016722 2022/10/11 02:18:38 - mmengine - INFO - Epoch(train) [149][400/586] lr: 5.000000e-04 eta: 3:45:24 time: 0.394098 data_time: 0.025289 memory: 15677 loss_kpt: 0.016666 acc_pose: 0.743667 loss: 0.016666 2022/10/11 02:18:58 - mmengine - INFO - Epoch(train) [149][450/586] lr: 5.000000e-04 eta: 3:45:06 time: 0.407917 data_time: 0.024866 memory: 15677 loss_kpt: 0.016636 acc_pose: 0.743347 loss: 0.016636 2022/10/11 02:19:18 - mmengine - INFO - Epoch(train) [149][500/586] lr: 5.000000e-04 eta: 3:44:47 time: 0.394271 data_time: 0.023515 memory: 15677 loss_kpt: 0.016543 acc_pose: 0.745410 loss: 0.016543 2022/10/11 02:19:38 - mmengine - INFO - Epoch(train) [149][550/586] lr: 5.000000e-04 eta: 3:44:29 time: 0.396092 data_time: 0.025281 memory: 15677 loss_kpt: 0.016814 acc_pose: 0.706250 loss: 0.016814 2022/10/11 02:19:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:20:12 - mmengine - INFO - Epoch(train) [150][50/586] lr: 5.000000e-04 eta: 3:43:52 time: 0.407008 data_time: 0.034872 memory: 15677 loss_kpt: 0.016864 acc_pose: 0.738263 loss: 0.016864 2022/10/11 02:20:33 - mmengine - INFO - Epoch(train) [150][100/586] lr: 5.000000e-04 eta: 3:43:33 time: 0.407856 data_time: 0.025095 memory: 15677 loss_kpt: 0.016617 acc_pose: 0.747911 loss: 0.016617 2022/10/11 02:20:52 - mmengine - INFO - Epoch(train) [150][150/586] lr: 5.000000e-04 eta: 3:43:15 time: 0.394169 data_time: 0.025150 memory: 15677 loss_kpt: 0.016241 acc_pose: 0.702435 loss: 0.016241 2022/10/11 02:21:12 - mmengine - INFO - Epoch(train) [150][200/586] lr: 5.000000e-04 eta: 3:42:57 time: 0.399887 data_time: 0.027116 memory: 15677 loss_kpt: 0.016289 acc_pose: 0.744075 loss: 0.016289 2022/10/11 02:21:32 - mmengine - INFO - Epoch(train) [150][250/586] lr: 5.000000e-04 eta: 3:42:38 time: 0.399416 data_time: 0.025520 memory: 15677 loss_kpt: 0.016481 acc_pose: 0.563571 loss: 0.016481 2022/10/11 02:21:52 - mmengine - INFO - Epoch(train) [150][300/586] lr: 5.000000e-04 eta: 3:42:20 time: 0.402783 data_time: 0.030453 memory: 15677 loss_kpt: 0.016724 acc_pose: 0.711800 loss: 0.016724 2022/10/11 02:22:12 - mmengine - INFO - Epoch(train) [150][350/586] lr: 5.000000e-04 eta: 3:42:02 time: 0.400241 data_time: 0.025229 memory: 15677 loss_kpt: 0.016629 acc_pose: 0.743234 loss: 0.016629 2022/10/11 02:22:32 - mmengine - INFO - Epoch(train) [150][400/586] lr: 5.000000e-04 eta: 3:41:43 time: 0.394598 data_time: 0.025226 memory: 15677 loss_kpt: 0.016483 acc_pose: 0.720399 loss: 0.016483 2022/10/11 02:22:52 - mmengine - INFO - Epoch(train) [150][450/586] lr: 5.000000e-04 eta: 3:41:25 time: 0.403358 data_time: 0.025472 memory: 15677 loss_kpt: 0.016676 acc_pose: 0.722321 loss: 0.016676 2022/10/11 02:23:12 - mmengine - INFO - Epoch(train) [150][500/586] lr: 5.000000e-04 eta: 3:41:07 time: 0.399327 data_time: 0.024981 memory: 15677 loss_kpt: 0.016296 acc_pose: 0.728512 loss: 0.016296 2022/10/11 02:23:33 - mmengine - INFO - Epoch(train) [150][550/586] lr: 5.000000e-04 eta: 3:40:48 time: 0.403892 data_time: 0.031424 memory: 15677 loss_kpt: 0.016171 acc_pose: 0.775928 loss: 0.016171 2022/10/11 02:23:47 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:23:47 - mmengine - INFO - Saving checkpoint at 150 epochs 2022/10/11 02:23:59 - mmengine - INFO - Epoch(val) [150][50/407] eta: 0:01:11 time: 0.199294 data_time: 0.014128 memory: 15677 2022/10/11 02:24:09 - mmengine - INFO - Epoch(val) [150][100/407] eta: 0:00:58 time: 0.191510 data_time: 0.009438 memory: 4213 2022/10/11 02:24:18 - mmengine - INFO - Epoch(val) [150][150/407] eta: 0:00:48 time: 0.189769 data_time: 0.008922 memory: 4213 2022/10/11 02:24:28 - mmengine - INFO - Epoch(val) [150][200/407] eta: 0:00:39 time: 0.189449 data_time: 0.008814 memory: 4213 2022/10/11 02:24:37 - mmengine - INFO - Epoch(val) [150][250/407] eta: 0:00:29 time: 0.190029 data_time: 0.009085 memory: 4213 2022/10/11 02:24:47 - mmengine - INFO - Epoch(val) [150][300/407] eta: 0:00:20 time: 0.190362 data_time: 0.009153 memory: 4213 2022/10/11 02:24:56 - mmengine - INFO - Epoch(val) [150][350/407] eta: 0:00:10 time: 0.189461 data_time: 0.008742 memory: 4213 2022/10/11 02:25:06 - mmengine - INFO - Epoch(val) [150][400/407] eta: 0:00:01 time: 0.191663 data_time: 0.011156 memory: 4213 2022/10/11 02:25:38 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 02:25:51 - mmengine - INFO - Epoch(val) [150][407/407] coco/AP: 0.628879 coco/AP .5: 0.851609 coco/AP .75: 0.701826 coco/AP (M): 0.599061 coco/AP (L): 0.693696 coco/AR: 0.690082 coco/AR .5: 0.898300 coco/AR .75: 0.757714 coco/AR (M): 0.648320 coco/AR (L): 0.749758 2022/10/11 02:26:11 - mmengine - INFO - Epoch(train) [151][50/586] lr: 5.000000e-04 eta: 3:40:11 time: 0.403651 data_time: 0.033166 memory: 15677 loss_kpt: 0.016189 acc_pose: 0.688792 loss: 0.016189 2022/10/11 02:26:31 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:26:31 - mmengine - INFO - Epoch(train) [151][100/586] lr: 5.000000e-04 eta: 3:39:53 time: 0.401617 data_time: 0.026167 memory: 15677 loss_kpt: 0.016521 acc_pose: 0.732434 loss: 0.016521 2022/10/11 02:26:51 - mmengine - INFO - Epoch(train) [151][150/586] lr: 5.000000e-04 eta: 3:39:34 time: 0.397798 data_time: 0.026298 memory: 15677 loss_kpt: 0.016348 acc_pose: 0.729990 loss: 0.016348 2022/10/11 02:27:11 - mmengine - INFO - Epoch(train) [151][200/586] lr: 5.000000e-04 eta: 3:39:16 time: 0.405401 data_time: 0.026216 memory: 15677 loss_kpt: 0.016806 acc_pose: 0.671600 loss: 0.016806 2022/10/11 02:27:31 - mmengine - INFO - Epoch(train) [151][250/586] lr: 5.000000e-04 eta: 3:38:58 time: 0.393463 data_time: 0.024811 memory: 15677 loss_kpt: 0.016491 acc_pose: 0.693864 loss: 0.016491 2022/10/11 02:27:51 - mmengine - INFO - Epoch(train) [151][300/586] lr: 5.000000e-04 eta: 3:38:39 time: 0.397012 data_time: 0.028196 memory: 15677 loss_kpt: 0.016351 acc_pose: 0.750091 loss: 0.016351 2022/10/11 02:28:11 - mmengine - INFO - Epoch(train) [151][350/586] lr: 5.000000e-04 eta: 3:38:21 time: 0.401200 data_time: 0.025075 memory: 15677 loss_kpt: 0.016763 acc_pose: 0.690867 loss: 0.016763 2022/10/11 02:28:32 - mmengine - INFO - Epoch(train) [151][400/586] lr: 5.000000e-04 eta: 3:38:03 time: 0.410602 data_time: 0.031709 memory: 15677 loss_kpt: 0.016769 acc_pose: 0.704661 loss: 0.016769 2022/10/11 02:28:51 - mmengine - INFO - Epoch(train) [151][450/586] lr: 5.000000e-04 eta: 3:37:44 time: 0.393840 data_time: 0.025799 memory: 15677 loss_kpt: 0.016147 acc_pose: 0.754119 loss: 0.016147 2022/10/11 02:29:11 - mmengine - INFO - Epoch(train) [151][500/586] lr: 5.000000e-04 eta: 3:37:26 time: 0.394206 data_time: 0.026941 memory: 15677 loss_kpt: 0.016965 acc_pose: 0.629614 loss: 0.016965 2022/10/11 02:29:31 - mmengine - INFO - Epoch(train) [151][550/586] lr: 5.000000e-04 eta: 3:37:08 time: 0.405368 data_time: 0.028235 memory: 15677 loss_kpt: 0.016433 acc_pose: 0.711429 loss: 0.016433 2022/10/11 02:29:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:30:07 - mmengine - INFO - Epoch(train) [152][50/586] lr: 5.000000e-04 eta: 3:36:31 time: 0.429181 data_time: 0.038284 memory: 15677 loss_kpt: 0.016488 acc_pose: 0.751200 loss: 0.016488 2022/10/11 02:30:27 - mmengine - INFO - Epoch(train) [152][100/586] lr: 5.000000e-04 eta: 3:36:13 time: 0.394147 data_time: 0.025643 memory: 15677 loss_kpt: 0.016427 acc_pose: 0.586645 loss: 0.016427 2022/10/11 02:30:47 - mmengine - INFO - Epoch(train) [152][150/586] lr: 5.000000e-04 eta: 3:35:54 time: 0.407100 data_time: 0.026272 memory: 15677 loss_kpt: 0.016608 acc_pose: 0.686205 loss: 0.016608 2022/10/11 02:31:07 - mmengine - INFO - Epoch(train) [152][200/586] lr: 5.000000e-04 eta: 3:35:36 time: 0.396647 data_time: 0.023884 memory: 15677 loss_kpt: 0.016727 acc_pose: 0.715755 loss: 0.016727 2022/10/11 02:31:27 - mmengine - INFO - Epoch(train) [152][250/586] lr: 5.000000e-04 eta: 3:35:17 time: 0.399572 data_time: 0.024685 memory: 15677 loss_kpt: 0.016653 acc_pose: 0.683287 loss: 0.016653 2022/10/11 02:31:47 - mmengine - INFO - Epoch(train) [152][300/586] lr: 5.000000e-04 eta: 3:34:59 time: 0.402598 data_time: 0.024681 memory: 15677 loss_kpt: 0.016152 acc_pose: 0.682820 loss: 0.016152 2022/10/11 02:32:07 - mmengine - INFO - Epoch(train) [152][350/586] lr: 5.000000e-04 eta: 3:34:41 time: 0.395828 data_time: 0.023583 memory: 15677 loss_kpt: 0.016319 acc_pose: 0.722101 loss: 0.016319 2022/10/11 02:32:27 - mmengine - INFO - Epoch(train) [152][400/586] lr: 5.000000e-04 eta: 3:34:22 time: 0.399302 data_time: 0.026185 memory: 15677 loss_kpt: 0.016160 acc_pose: 0.655826 loss: 0.016160 2022/10/11 02:32:47 - mmengine - INFO - Epoch(train) [152][450/586] lr: 5.000000e-04 eta: 3:34:04 time: 0.402421 data_time: 0.026380 memory: 15677 loss_kpt: 0.016347 acc_pose: 0.757518 loss: 0.016347 2022/10/11 02:33:08 - mmengine - INFO - Epoch(train) [152][500/586] lr: 5.000000e-04 eta: 3:33:46 time: 0.410201 data_time: 0.024588 memory: 15677 loss_kpt: 0.016987 acc_pose: 0.595949 loss: 0.016987 2022/10/11 02:33:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:33:27 - mmengine - INFO - Epoch(train) [152][550/586] lr: 5.000000e-04 eta: 3:33:27 time: 0.397486 data_time: 0.026566 memory: 15677 loss_kpt: 0.016568 acc_pose: 0.696592 loss: 0.016568 2022/10/11 02:33:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:34:03 - mmengine - INFO - Epoch(train) [153][50/586] lr: 5.000000e-04 eta: 3:32:51 time: 0.424079 data_time: 0.040460 memory: 15677 loss_kpt: 0.016898 acc_pose: 0.627799 loss: 0.016898 2022/10/11 02:34:23 - mmengine - INFO - Epoch(train) [153][100/586] lr: 5.000000e-04 eta: 3:32:32 time: 0.400118 data_time: 0.027045 memory: 15677 loss_kpt: 0.016533 acc_pose: 0.654884 loss: 0.016533 2022/10/11 02:34:43 - mmengine - INFO - Epoch(train) [153][150/586] lr: 5.000000e-04 eta: 3:32:14 time: 0.405423 data_time: 0.026657 memory: 15677 loss_kpt: 0.016801 acc_pose: 0.701580 loss: 0.016801 2022/10/11 02:35:03 - mmengine - INFO - Epoch(train) [153][200/586] lr: 5.000000e-04 eta: 3:31:56 time: 0.397531 data_time: 0.027122 memory: 15677 loss_kpt: 0.016987 acc_pose: 0.655468 loss: 0.016987 2022/10/11 02:35:23 - mmengine - INFO - Epoch(train) [153][250/586] lr: 5.000000e-04 eta: 3:31:37 time: 0.396387 data_time: 0.027222 memory: 15677 loss_kpt: 0.015745 acc_pose: 0.786894 loss: 0.015745 2022/10/11 02:35:43 - mmengine - INFO - Epoch(train) [153][300/586] lr: 5.000000e-04 eta: 3:31:19 time: 0.399999 data_time: 0.025170 memory: 15677 loss_kpt: 0.016518 acc_pose: 0.696329 loss: 0.016518 2022/10/11 02:36:03 - mmengine - INFO - Epoch(train) [153][350/586] lr: 5.000000e-04 eta: 3:31:01 time: 0.406947 data_time: 0.031045 memory: 15677 loss_kpt: 0.016659 acc_pose: 0.783233 loss: 0.016659 2022/10/11 02:36:23 - mmengine - INFO - Epoch(train) [153][400/586] lr: 5.000000e-04 eta: 3:30:42 time: 0.397351 data_time: 0.024059 memory: 15677 loss_kpt: 0.016258 acc_pose: 0.697665 loss: 0.016258 2022/10/11 02:36:44 - mmengine - INFO - Epoch(train) [153][450/586] lr: 5.000000e-04 eta: 3:30:24 time: 0.409235 data_time: 0.027575 memory: 15677 loss_kpt: 0.016272 acc_pose: 0.693567 loss: 0.016272 2022/10/11 02:37:03 - mmengine - INFO - Epoch(train) [153][500/586] lr: 5.000000e-04 eta: 3:30:06 time: 0.392551 data_time: 0.025588 memory: 15677 loss_kpt: 0.016321 acc_pose: 0.671717 loss: 0.016321 2022/10/11 02:37:23 - mmengine - INFO - Epoch(train) [153][550/586] lr: 5.000000e-04 eta: 3:29:47 time: 0.401067 data_time: 0.030515 memory: 15677 loss_kpt: 0.016901 acc_pose: 0.747253 loss: 0.016901 2022/10/11 02:37:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:37:58 - mmengine - INFO - Epoch(train) [154][50/586] lr: 5.000000e-04 eta: 3:29:10 time: 0.411123 data_time: 0.032954 memory: 15677 loss_kpt: 0.016374 acc_pose: 0.761740 loss: 0.016374 2022/10/11 02:38:18 - mmengine - INFO - Epoch(train) [154][100/586] lr: 5.000000e-04 eta: 3:28:52 time: 0.400087 data_time: 0.024448 memory: 15677 loss_kpt: 0.016342 acc_pose: 0.716376 loss: 0.016342 2022/10/11 02:38:38 - mmengine - INFO - Epoch(train) [154][150/586] lr: 5.000000e-04 eta: 3:28:34 time: 0.392931 data_time: 0.024496 memory: 15677 loss_kpt: 0.015904 acc_pose: 0.696368 loss: 0.015904 2022/10/11 02:38:58 - mmengine - INFO - Epoch(train) [154][200/586] lr: 5.000000e-04 eta: 3:28:15 time: 0.405251 data_time: 0.025016 memory: 15677 loss_kpt: 0.017200 acc_pose: 0.692951 loss: 0.017200 2022/10/11 02:39:18 - mmengine - INFO - Epoch(train) [154][250/586] lr: 5.000000e-04 eta: 3:27:57 time: 0.402388 data_time: 0.024542 memory: 15677 loss_kpt: 0.016732 acc_pose: 0.690837 loss: 0.016732 2022/10/11 02:39:38 - mmengine - INFO - Epoch(train) [154][300/586] lr: 5.000000e-04 eta: 3:27:38 time: 0.396918 data_time: 0.026720 memory: 15677 loss_kpt: 0.015760 acc_pose: 0.705765 loss: 0.015760 2022/10/11 02:39:55 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:39:58 - mmengine - INFO - Epoch(train) [154][350/586] lr: 5.000000e-04 eta: 3:27:20 time: 0.397356 data_time: 0.030064 memory: 15677 loss_kpt: 0.016589 acc_pose: 0.748134 loss: 0.016589 2022/10/11 02:40:18 - mmengine - INFO - Epoch(train) [154][400/586] lr: 5.000000e-04 eta: 3:27:02 time: 0.402830 data_time: 0.024478 memory: 15677 loss_kpt: 0.016488 acc_pose: 0.694502 loss: 0.016488 2022/10/11 02:40:38 - mmengine - INFO - Epoch(train) [154][450/586] lr: 5.000000e-04 eta: 3:26:43 time: 0.399546 data_time: 0.025276 memory: 15677 loss_kpt: 0.016359 acc_pose: 0.677841 loss: 0.016359 2022/10/11 02:40:58 - mmengine - INFO - Epoch(train) [154][500/586] lr: 5.000000e-04 eta: 3:26:25 time: 0.400287 data_time: 0.026230 memory: 15677 loss_kpt: 0.016619 acc_pose: 0.714418 loss: 0.016619 2022/10/11 02:41:18 - mmengine - INFO - Epoch(train) [154][550/586] lr: 5.000000e-04 eta: 3:26:07 time: 0.400134 data_time: 0.025613 memory: 15677 loss_kpt: 0.016667 acc_pose: 0.767726 loss: 0.016667 2022/10/11 02:41:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:41:53 - mmengine - INFO - Epoch(train) [155][50/586] lr: 5.000000e-04 eta: 3:25:30 time: 0.407806 data_time: 0.034215 memory: 15677 loss_kpt: 0.016616 acc_pose: 0.721355 loss: 0.016616 2022/10/11 02:42:13 - mmengine - INFO - Epoch(train) [155][100/586] lr: 5.000000e-04 eta: 3:25:11 time: 0.401504 data_time: 0.026773 memory: 15677 loss_kpt: 0.016550 acc_pose: 0.764073 loss: 0.016550 2022/10/11 02:42:33 - mmengine - INFO - Epoch(train) [155][150/586] lr: 5.000000e-04 eta: 3:24:53 time: 0.402029 data_time: 0.024627 memory: 15677 loss_kpt: 0.016452 acc_pose: 0.690990 loss: 0.016452 2022/10/11 02:42:53 - mmengine - INFO - Epoch(train) [155][200/586] lr: 5.000000e-04 eta: 3:24:35 time: 0.395494 data_time: 0.024392 memory: 15677 loss_kpt: 0.016773 acc_pose: 0.547737 loss: 0.016773 2022/10/11 02:43:13 - mmengine - INFO - Epoch(train) [155][250/586] lr: 5.000000e-04 eta: 3:24:16 time: 0.401755 data_time: 0.025073 memory: 15677 loss_kpt: 0.016240 acc_pose: 0.779186 loss: 0.016240 2022/10/11 02:43:33 - mmengine - INFO - Epoch(train) [155][300/586] lr: 5.000000e-04 eta: 3:23:58 time: 0.404137 data_time: 0.026946 memory: 15677 loss_kpt: 0.016662 acc_pose: 0.641189 loss: 0.016662 2022/10/11 02:43:53 - mmengine - INFO - Epoch(train) [155][350/586] lr: 5.000000e-04 eta: 3:23:40 time: 0.400855 data_time: 0.028917 memory: 15677 loss_kpt: 0.016345 acc_pose: 0.716167 loss: 0.016345 2022/10/11 02:44:13 - mmengine - INFO - Epoch(train) [155][400/586] lr: 5.000000e-04 eta: 3:23:21 time: 0.398296 data_time: 0.025698 memory: 15677 loss_kpt: 0.016197 acc_pose: 0.774090 loss: 0.016197 2022/10/11 02:44:33 - mmengine - INFO - Epoch(train) [155][450/586] lr: 5.000000e-04 eta: 3:23:03 time: 0.404718 data_time: 0.025450 memory: 15677 loss_kpt: 0.016423 acc_pose: 0.694860 loss: 0.016423 2022/10/11 02:44:54 - mmengine - INFO - Epoch(train) [155][500/586] lr: 5.000000e-04 eta: 3:22:44 time: 0.401001 data_time: 0.029880 memory: 15677 loss_kpt: 0.016150 acc_pose: 0.681178 loss: 0.016150 2022/10/11 02:45:13 - mmengine - INFO - Epoch(train) [155][550/586] lr: 5.000000e-04 eta: 3:22:26 time: 0.396059 data_time: 0.025301 memory: 15677 loss_kpt: 0.016563 acc_pose: 0.715950 loss: 0.016563 2022/10/11 02:45:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:45:48 - mmengine - INFO - Epoch(train) [156][50/586] lr: 5.000000e-04 eta: 3:21:49 time: 0.406305 data_time: 0.035588 memory: 15677 loss_kpt: 0.016117 acc_pose: 0.655374 loss: 0.016117 2022/10/11 02:46:08 - mmengine - INFO - Epoch(train) [156][100/586] lr: 5.000000e-04 eta: 3:21:31 time: 0.400588 data_time: 0.024236 memory: 15677 loss_kpt: 0.016797 acc_pose: 0.631577 loss: 0.016797 2022/10/11 02:46:28 - mmengine - INFO - Epoch(train) [156][150/586] lr: 5.000000e-04 eta: 3:21:13 time: 0.404425 data_time: 0.028865 memory: 15677 loss_kpt: 0.016296 acc_pose: 0.686245 loss: 0.016296 2022/10/11 02:46:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:46:48 - mmengine - INFO - Epoch(train) [156][200/586] lr: 5.000000e-04 eta: 3:20:54 time: 0.399607 data_time: 0.025729 memory: 15677 loss_kpt: 0.016673 acc_pose: 0.666081 loss: 0.016673 2022/10/11 02:47:08 - mmengine - INFO - Epoch(train) [156][250/586] lr: 5.000000e-04 eta: 3:20:36 time: 0.394746 data_time: 0.025253 memory: 15677 loss_kpt: 0.016407 acc_pose: 0.660436 loss: 0.016407 2022/10/11 02:47:28 - mmengine - INFO - Epoch(train) [156][300/586] lr: 5.000000e-04 eta: 3:20:17 time: 0.396478 data_time: 0.023298 memory: 15677 loss_kpt: 0.016439 acc_pose: 0.681106 loss: 0.016439 2022/10/11 02:47:48 - mmengine - INFO - Epoch(train) [156][350/586] lr: 5.000000e-04 eta: 3:19:59 time: 0.400235 data_time: 0.027318 memory: 15677 loss_kpt: 0.016883 acc_pose: 0.587159 loss: 0.016883 2022/10/11 02:48:08 - mmengine - INFO - Epoch(train) [156][400/586] lr: 5.000000e-04 eta: 3:19:40 time: 0.400254 data_time: 0.025548 memory: 15677 loss_kpt: 0.016857 acc_pose: 0.664046 loss: 0.016857 2022/10/11 02:48:28 - mmengine - INFO - Epoch(train) [156][450/586] lr: 5.000000e-04 eta: 3:19:22 time: 0.402875 data_time: 0.023869 memory: 15677 loss_kpt: 0.016402 acc_pose: 0.684847 loss: 0.016402 2022/10/11 02:48:48 - mmengine - INFO - Epoch(train) [156][500/586] lr: 5.000000e-04 eta: 3:19:04 time: 0.393966 data_time: 0.025010 memory: 15677 loss_kpt: 0.016546 acc_pose: 0.650232 loss: 0.016546 2022/10/11 02:49:08 - mmengine - INFO - Epoch(train) [156][550/586] lr: 5.000000e-04 eta: 3:18:45 time: 0.399042 data_time: 0.025030 memory: 15677 loss_kpt: 0.016455 acc_pose: 0.644735 loss: 0.016455 2022/10/11 02:49:22 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:49:42 - mmengine - INFO - Epoch(train) [157][50/586] lr: 5.000000e-04 eta: 3:18:09 time: 0.405724 data_time: 0.034065 memory: 15677 loss_kpt: 0.016682 acc_pose: 0.693131 loss: 0.016682 2022/10/11 02:50:02 - mmengine - INFO - Epoch(train) [157][100/586] lr: 5.000000e-04 eta: 3:17:50 time: 0.399243 data_time: 0.023481 memory: 15677 loss_kpt: 0.016382 acc_pose: 0.764319 loss: 0.016382 2022/10/11 02:50:22 - mmengine - INFO - Epoch(train) [157][150/586] lr: 5.000000e-04 eta: 3:17:32 time: 0.392659 data_time: 0.024639 memory: 15677 loss_kpt: 0.016293 acc_pose: 0.585985 loss: 0.016293 2022/10/11 02:50:42 - mmengine - INFO - Epoch(train) [157][200/586] lr: 5.000000e-04 eta: 3:17:13 time: 0.398787 data_time: 0.025867 memory: 15677 loss_kpt: 0.016147 acc_pose: 0.707125 loss: 0.016147 2022/10/11 02:51:02 - mmengine - INFO - Epoch(train) [157][250/586] lr: 5.000000e-04 eta: 3:16:55 time: 0.410600 data_time: 0.028772 memory: 15677 loss_kpt: 0.016190 acc_pose: 0.707581 loss: 0.016190 2022/10/11 02:51:22 - mmengine - INFO - Epoch(train) [157][300/586] lr: 5.000000e-04 eta: 3:16:37 time: 0.399311 data_time: 0.026152 memory: 15677 loss_kpt: 0.016674 acc_pose: 0.675729 loss: 0.016674 2022/10/11 02:51:42 - mmengine - INFO - Epoch(train) [157][350/586] lr: 5.000000e-04 eta: 3:16:18 time: 0.396921 data_time: 0.024951 memory: 15677 loss_kpt: 0.016452 acc_pose: 0.663138 loss: 0.016452 2022/10/11 02:52:02 - mmengine - INFO - Epoch(train) [157][400/586] lr: 5.000000e-04 eta: 3:16:00 time: 0.393129 data_time: 0.025526 memory: 15677 loss_kpt: 0.016468 acc_pose: 0.707337 loss: 0.016468 2022/10/11 02:52:22 - mmengine - INFO - Epoch(train) [157][450/586] lr: 5.000000e-04 eta: 3:15:41 time: 0.407874 data_time: 0.025272 memory: 15677 loss_kpt: 0.016693 acc_pose: 0.720537 loss: 0.016693 2022/10/11 02:52:42 - mmengine - INFO - Epoch(train) [157][500/586] lr: 5.000000e-04 eta: 3:15:23 time: 0.401046 data_time: 0.024819 memory: 15677 loss_kpt: 0.016358 acc_pose: 0.745987 loss: 0.016358 2022/10/11 02:53:03 - mmengine - INFO - Epoch(train) [157][550/586] lr: 5.000000e-04 eta: 3:15:05 time: 0.404317 data_time: 0.025085 memory: 15677 loss_kpt: 0.016789 acc_pose: 0.668353 loss: 0.016789 2022/10/11 02:53:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:53:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:53:38 - mmengine - INFO - Epoch(train) [158][50/586] lr: 5.000000e-04 eta: 3:14:28 time: 0.420322 data_time: 0.042800 memory: 15677 loss_kpt: 0.016522 acc_pose: 0.752093 loss: 0.016522 2022/10/11 02:53:58 - mmengine - INFO - Epoch(train) [158][100/586] lr: 5.000000e-04 eta: 3:14:10 time: 0.406678 data_time: 0.026295 memory: 15677 loss_kpt: 0.016723 acc_pose: 0.726874 loss: 0.016723 2022/10/11 02:54:18 - mmengine - INFO - Epoch(train) [158][150/586] lr: 5.000000e-04 eta: 3:13:52 time: 0.395675 data_time: 0.024753 memory: 15677 loss_kpt: 0.016342 acc_pose: 0.745419 loss: 0.016342 2022/10/11 02:54:38 - mmengine - INFO - Epoch(train) [158][200/586] lr: 5.000000e-04 eta: 3:13:33 time: 0.397717 data_time: 0.024925 memory: 15677 loss_kpt: 0.016238 acc_pose: 0.655469 loss: 0.016238 2022/10/11 02:54:58 - mmengine - INFO - Epoch(train) [158][250/586] lr: 5.000000e-04 eta: 3:13:15 time: 0.397747 data_time: 0.027427 memory: 15677 loss_kpt: 0.016499 acc_pose: 0.702889 loss: 0.016499 2022/10/11 02:55:18 - mmengine - INFO - Epoch(train) [158][300/586] lr: 5.000000e-04 eta: 3:12:56 time: 0.402284 data_time: 0.027006 memory: 15677 loss_kpt: 0.016606 acc_pose: 0.617488 loss: 0.016606 2022/10/11 02:55:38 - mmengine - INFO - Epoch(train) [158][350/586] lr: 5.000000e-04 eta: 3:12:38 time: 0.407338 data_time: 0.024891 memory: 15677 loss_kpt: 0.016359 acc_pose: 0.644620 loss: 0.016359 2022/10/11 02:55:58 - mmengine - INFO - Epoch(train) [158][400/586] lr: 5.000000e-04 eta: 3:12:19 time: 0.393925 data_time: 0.024463 memory: 15677 loss_kpt: 0.016596 acc_pose: 0.772588 loss: 0.016596 2022/10/11 02:56:18 - mmengine - INFO - Epoch(train) [158][450/586] lr: 5.000000e-04 eta: 3:12:01 time: 0.399325 data_time: 0.025624 memory: 15677 loss_kpt: 0.016399 acc_pose: 0.708560 loss: 0.016399 2022/10/11 02:56:38 - mmengine - INFO - Epoch(train) [158][500/586] lr: 5.000000e-04 eta: 3:11:43 time: 0.400713 data_time: 0.026657 memory: 15677 loss_kpt: 0.016371 acc_pose: 0.660685 loss: 0.016371 2022/10/11 02:56:58 - mmengine - INFO - Epoch(train) [158][550/586] lr: 5.000000e-04 eta: 3:11:24 time: 0.407397 data_time: 0.025695 memory: 15677 loss_kpt: 0.016043 acc_pose: 0.742384 loss: 0.016043 2022/10/11 02:57:12 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 02:57:33 - mmengine - INFO - Epoch(train) [159][50/586] lr: 5.000000e-04 eta: 3:10:48 time: 0.401977 data_time: 0.031718 memory: 15677 loss_kpt: 0.016545 acc_pose: 0.662173 loss: 0.016545 2022/10/11 02:57:52 - mmengine - INFO - Epoch(train) [159][100/586] lr: 5.000000e-04 eta: 3:10:29 time: 0.395871 data_time: 0.025237 memory: 15677 loss_kpt: 0.016939 acc_pose: 0.704707 loss: 0.016939 2022/10/11 02:58:13 - mmengine - INFO - Epoch(train) [159][150/586] lr: 5.000000e-04 eta: 3:10:11 time: 0.403450 data_time: 0.026184 memory: 15677 loss_kpt: 0.016384 acc_pose: 0.692850 loss: 0.016384 2022/10/11 02:58:33 - mmengine - INFO - Epoch(train) [159][200/586] lr: 5.000000e-04 eta: 3:09:53 time: 0.403446 data_time: 0.029833 memory: 15677 loss_kpt: 0.016634 acc_pose: 0.753062 loss: 0.016634 2022/10/11 02:58:53 - mmengine - INFO - Epoch(train) [159][250/586] lr: 5.000000e-04 eta: 3:09:34 time: 0.397106 data_time: 0.025286 memory: 15677 loss_kpt: 0.016834 acc_pose: 0.779974 loss: 0.016834 2022/10/11 02:59:12 - mmengine - INFO - Epoch(train) [159][300/586] lr: 5.000000e-04 eta: 3:09:16 time: 0.397602 data_time: 0.025960 memory: 15677 loss_kpt: 0.016597 acc_pose: 0.777817 loss: 0.016597 2022/10/11 02:59:33 - mmengine - INFO - Epoch(train) [159][350/586] lr: 5.000000e-04 eta: 3:08:57 time: 0.402659 data_time: 0.024601 memory: 15677 loss_kpt: 0.016409 acc_pose: 0.725766 loss: 0.016409 2022/10/11 02:59:53 - mmengine - INFO - Epoch(train) [159][400/586] lr: 5.000000e-04 eta: 3:08:39 time: 0.404290 data_time: 0.030667 memory: 15677 loss_kpt: 0.016209 acc_pose: 0.660120 loss: 0.016209 2022/10/11 02:59:58 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:00:13 - mmengine - INFO - Epoch(train) [159][450/586] lr: 5.000000e-04 eta: 3:08:20 time: 0.402496 data_time: 0.025551 memory: 15677 loss_kpt: 0.016207 acc_pose: 0.712863 loss: 0.016207 2022/10/11 03:00:33 - mmengine - INFO - Epoch(train) [159][500/586] lr: 5.000000e-04 eta: 3:08:02 time: 0.400537 data_time: 0.024817 memory: 15677 loss_kpt: 0.016522 acc_pose: 0.732741 loss: 0.016522 2022/10/11 03:00:53 - mmengine - INFO - Epoch(train) [159][550/586] lr: 5.000000e-04 eta: 3:07:44 time: 0.408175 data_time: 0.023591 memory: 15677 loss_kpt: 0.016252 acc_pose: 0.733598 loss: 0.016252 2022/10/11 03:01:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:01:28 - mmengine - INFO - Epoch(train) [160][50/586] lr: 5.000000e-04 eta: 3:07:07 time: 0.406435 data_time: 0.035701 memory: 15677 loss_kpt: 0.016775 acc_pose: 0.729406 loss: 0.016775 2022/10/11 03:01:48 - mmengine - INFO - Epoch(train) [160][100/586] lr: 5.000000e-04 eta: 3:06:49 time: 0.405091 data_time: 0.024994 memory: 15677 loss_kpt: 0.016109 acc_pose: 0.742234 loss: 0.016109 2022/10/11 03:02:08 - mmengine - INFO - Epoch(train) [160][150/586] lr: 5.000000e-04 eta: 3:06:31 time: 0.396357 data_time: 0.023154 memory: 15677 loss_kpt: 0.016353 acc_pose: 0.725814 loss: 0.016353 2022/10/11 03:02:28 - mmengine - INFO - Epoch(train) [160][200/586] lr: 5.000000e-04 eta: 3:06:12 time: 0.397278 data_time: 0.024350 memory: 15677 loss_kpt: 0.016391 acc_pose: 0.770092 loss: 0.016391 2022/10/11 03:02:48 - mmengine - INFO - Epoch(train) [160][250/586] lr: 5.000000e-04 eta: 3:05:54 time: 0.400446 data_time: 0.024252 memory: 15677 loss_kpt: 0.016667 acc_pose: 0.695332 loss: 0.016667 2022/10/11 03:03:08 - mmengine - INFO - Epoch(train) [160][300/586] lr: 5.000000e-04 eta: 3:05:35 time: 0.399133 data_time: 0.023612 memory: 15677 loss_kpt: 0.016544 acc_pose: 0.728118 loss: 0.016544 2022/10/11 03:03:28 - mmengine - INFO - Epoch(train) [160][350/586] lr: 5.000000e-04 eta: 3:05:17 time: 0.401131 data_time: 0.025618 memory: 15677 loss_kpt: 0.016713 acc_pose: 0.769668 loss: 0.016713 2022/10/11 03:03:48 - mmengine - INFO - Epoch(train) [160][400/586] lr: 5.000000e-04 eta: 3:04:58 time: 0.403616 data_time: 0.026891 memory: 15677 loss_kpt: 0.016748 acc_pose: 0.674067 loss: 0.016748 2022/10/11 03:04:08 - mmengine - INFO - Epoch(train) [160][450/586] lr: 5.000000e-04 eta: 3:04:40 time: 0.396479 data_time: 0.025582 memory: 15677 loss_kpt: 0.016944 acc_pose: 0.750680 loss: 0.016944 2022/10/11 03:04:28 - mmengine - INFO - Epoch(train) [160][500/586] lr: 5.000000e-04 eta: 3:04:21 time: 0.397481 data_time: 0.024737 memory: 15677 loss_kpt: 0.016084 acc_pose: 0.710494 loss: 0.016084 2022/10/11 03:04:48 - mmengine - INFO - Epoch(train) [160][550/586] lr: 5.000000e-04 eta: 3:04:03 time: 0.404586 data_time: 0.025870 memory: 15677 loss_kpt: 0.016444 acc_pose: 0.761685 loss: 0.016444 2022/10/11 03:05:02 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:05:02 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/10/11 03:05:15 - mmengine - INFO - Epoch(val) [160][50/407] eta: 0:01:10 time: 0.198731 data_time: 0.014506 memory: 15677 2022/10/11 03:05:24 - mmengine - INFO - Epoch(val) [160][100/407] eta: 0:00:58 time: 0.189377 data_time: 0.008399 memory: 4213 2022/10/11 03:05:34 - mmengine - INFO - Epoch(val) [160][150/407] eta: 0:00:49 time: 0.192250 data_time: 0.010823 memory: 4213 2022/10/11 03:05:44 - mmengine - INFO - Epoch(val) [160][200/407] eta: 0:00:39 time: 0.190013 data_time: 0.009300 memory: 4213 2022/10/11 03:05:53 - mmengine - INFO - Epoch(val) [160][250/407] eta: 0:00:29 time: 0.190376 data_time: 0.008961 memory: 4213 2022/10/11 03:06:03 - mmengine - INFO - Epoch(val) [160][300/407] eta: 0:00:20 time: 0.189976 data_time: 0.008723 memory: 4213 2022/10/11 03:06:12 - mmengine - INFO - Epoch(val) [160][350/407] eta: 0:00:10 time: 0.189743 data_time: 0.008729 memory: 4213 2022/10/11 03:06:21 - mmengine - INFO - Epoch(val) [160][400/407] eta: 0:00:01 time: 0.189343 data_time: 0.008546 memory: 4213 2022/10/11 03:06:54 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 03:07:06 - mmengine - INFO - Epoch(val) [160][407/407] coco/AP: 0.632724 coco/AP .5: 0.854584 coco/AP .75: 0.706415 coco/AP (M): 0.601485 coco/AP (L): 0.696851 coco/AR: 0.691987 coco/AR .5: 0.898929 coco/AR .75: 0.760233 coco/AR (M): 0.650451 coco/AR (L): 0.751394 2022/10/11 03:07:06 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_130.pth is removed 2022/10/11 03:07:08 - mmengine - INFO - The best checkpoint with 0.6327 coco/AP at 160 epoch is saved to best_coco/AP_epoch_160.pth. 2022/10/11 03:07:29 - mmengine - INFO - Epoch(train) [161][50/586] lr: 5.000000e-04 eta: 3:03:27 time: 0.406703 data_time: 0.035903 memory: 15677 loss_kpt: 0.016238 acc_pose: 0.559867 loss: 0.016238 2022/10/11 03:07:49 - mmengine - INFO - Epoch(train) [161][100/586] lr: 5.000000e-04 eta: 3:03:08 time: 0.398956 data_time: 0.023636 memory: 15677 loss_kpt: 0.016959 acc_pose: 0.747326 loss: 0.016959 2022/10/11 03:08:09 - mmengine - INFO - Epoch(train) [161][150/586] lr: 5.000000e-04 eta: 3:02:50 time: 0.406626 data_time: 0.027828 memory: 15677 loss_kpt: 0.015943 acc_pose: 0.664135 loss: 0.015943 2022/10/11 03:08:29 - mmengine - INFO - Epoch(train) [161][200/586] lr: 5.000000e-04 eta: 3:02:32 time: 0.402333 data_time: 0.023315 memory: 15677 loss_kpt: 0.016427 acc_pose: 0.745721 loss: 0.016427 2022/10/11 03:08:45 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:08:49 - mmengine - INFO - Epoch(train) [161][250/586] lr: 5.000000e-04 eta: 3:02:13 time: 0.399445 data_time: 0.023288 memory: 15677 loss_kpt: 0.016934 acc_pose: 0.683311 loss: 0.016934 2022/10/11 03:09:09 - mmengine - INFO - Epoch(train) [161][300/586] lr: 5.000000e-04 eta: 3:01:55 time: 0.401451 data_time: 0.023872 memory: 15677 loss_kpt: 0.016446 acc_pose: 0.762927 loss: 0.016446 2022/10/11 03:09:29 - mmengine - INFO - Epoch(train) [161][350/586] lr: 5.000000e-04 eta: 3:01:36 time: 0.395885 data_time: 0.024638 memory: 15677 loss_kpt: 0.016277 acc_pose: 0.729306 loss: 0.016277 2022/10/11 03:09:49 - mmengine - INFO - Epoch(train) [161][400/586] lr: 5.000000e-04 eta: 3:01:18 time: 0.402583 data_time: 0.027390 memory: 15677 loss_kpt: 0.016335 acc_pose: 0.713473 loss: 0.016335 2022/10/11 03:10:09 - mmengine - INFO - Epoch(train) [161][450/586] lr: 5.000000e-04 eta: 3:00:59 time: 0.398321 data_time: 0.025788 memory: 15677 loss_kpt: 0.016455 acc_pose: 0.762946 loss: 0.016455 2022/10/11 03:10:29 - mmengine - INFO - Epoch(train) [161][500/586] lr: 5.000000e-04 eta: 3:00:41 time: 0.401606 data_time: 0.024081 memory: 15677 loss_kpt: 0.016196 acc_pose: 0.691030 loss: 0.016196 2022/10/11 03:10:49 - mmengine - INFO - Epoch(train) [161][550/586] lr: 5.000000e-04 eta: 3:00:22 time: 0.397922 data_time: 0.023053 memory: 15677 loss_kpt: 0.016556 acc_pose: 0.678549 loss: 0.016556 2022/10/11 03:11:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:11:23 - mmengine - INFO - Epoch(train) [162][50/586] lr: 5.000000e-04 eta: 2:59:46 time: 0.408759 data_time: 0.034377 memory: 15677 loss_kpt: 0.016704 acc_pose: 0.810707 loss: 0.016704 2022/10/11 03:11:43 - mmengine - INFO - Epoch(train) [162][100/586] lr: 5.000000e-04 eta: 2:59:28 time: 0.400102 data_time: 0.023961 memory: 15677 loss_kpt: 0.016207 acc_pose: 0.699137 loss: 0.016207 2022/10/11 03:12:03 - mmengine - INFO - Epoch(train) [162][150/586] lr: 5.000000e-04 eta: 2:59:09 time: 0.395004 data_time: 0.024288 memory: 15677 loss_kpt: 0.016231 acc_pose: 0.706430 loss: 0.016231 2022/10/11 03:12:23 - mmengine - INFO - Epoch(train) [162][200/586] lr: 5.000000e-04 eta: 2:58:51 time: 0.399203 data_time: 0.024215 memory: 15677 loss_kpt: 0.016875 acc_pose: 0.562385 loss: 0.016875 2022/10/11 03:12:43 - mmengine - INFO - Epoch(train) [162][250/586] lr: 5.000000e-04 eta: 2:58:33 time: 0.399340 data_time: 0.027614 memory: 15677 loss_kpt: 0.015954 acc_pose: 0.683952 loss: 0.015954 2022/10/11 03:13:03 - mmengine - INFO - Epoch(train) [162][300/586] lr: 5.000000e-04 eta: 2:58:14 time: 0.403753 data_time: 0.024451 memory: 15677 loss_kpt: 0.016723 acc_pose: 0.688952 loss: 0.016723 2022/10/11 03:13:23 - mmengine - INFO - Epoch(train) [162][350/586] lr: 5.000000e-04 eta: 2:57:56 time: 0.396643 data_time: 0.023719 memory: 15677 loss_kpt: 0.016883 acc_pose: 0.733784 loss: 0.016883 2022/10/11 03:13:43 - mmengine - INFO - Epoch(train) [162][400/586] lr: 5.000000e-04 eta: 2:57:37 time: 0.398275 data_time: 0.025894 memory: 15677 loss_kpt: 0.016868 acc_pose: 0.759452 loss: 0.016868 2022/10/11 03:14:03 - mmengine - INFO - Epoch(train) [162][450/586] lr: 5.000000e-04 eta: 2:57:19 time: 0.394836 data_time: 0.024956 memory: 15677 loss_kpt: 0.016486 acc_pose: 0.607334 loss: 0.016486 2022/10/11 03:14:23 - mmengine - INFO - Epoch(train) [162][500/586] lr: 5.000000e-04 eta: 2:57:00 time: 0.400462 data_time: 0.024306 memory: 15677 loss_kpt: 0.016592 acc_pose: 0.758036 loss: 0.016592 2022/10/11 03:14:43 - mmengine - INFO - Epoch(train) [162][550/586] lr: 5.000000e-04 eta: 2:56:42 time: 0.401972 data_time: 0.025400 memory: 15677 loss_kpt: 0.016311 acc_pose: 0.637033 loss: 0.016311 2022/10/11 03:14:57 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:15:18 - mmengine - INFO - Epoch(train) [163][50/586] lr: 5.000000e-04 eta: 2:56:06 time: 0.410613 data_time: 0.031534 memory: 15677 loss_kpt: 0.016189 acc_pose: 0.650206 loss: 0.016189 2022/10/11 03:15:25 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:15:38 - mmengine - INFO - Epoch(train) [163][100/586] lr: 5.000000e-04 eta: 2:55:47 time: 0.393861 data_time: 0.025019 memory: 15677 loss_kpt: 0.016601 acc_pose: 0.662398 loss: 0.016601 2022/10/11 03:15:58 - mmengine - INFO - Epoch(train) [163][150/586] lr: 5.000000e-04 eta: 2:55:29 time: 0.403668 data_time: 0.027695 memory: 15677 loss_kpt: 0.017150 acc_pose: 0.721039 loss: 0.017150 2022/10/11 03:16:18 - mmengine - INFO - Epoch(train) [163][200/586] lr: 5.000000e-04 eta: 2:55:10 time: 0.402882 data_time: 0.026737 memory: 15677 loss_kpt: 0.016419 acc_pose: 0.711892 loss: 0.016419 2022/10/11 03:16:38 - mmengine - INFO - Epoch(train) [163][250/586] lr: 5.000000e-04 eta: 2:54:52 time: 0.399814 data_time: 0.025757 memory: 15677 loss_kpt: 0.016378 acc_pose: 0.662173 loss: 0.016378 2022/10/11 03:16:58 - mmengine - INFO - Epoch(train) [163][300/586] lr: 5.000000e-04 eta: 2:54:33 time: 0.398464 data_time: 0.024577 memory: 15677 loss_kpt: 0.016201 acc_pose: 0.675109 loss: 0.016201 2022/10/11 03:17:18 - mmengine - INFO - Epoch(train) [163][350/586] lr: 5.000000e-04 eta: 2:54:15 time: 0.399564 data_time: 0.028084 memory: 15677 loss_kpt: 0.016526 acc_pose: 0.722528 loss: 0.016526 2022/10/11 03:17:38 - mmengine - INFO - Epoch(train) [163][400/586] lr: 5.000000e-04 eta: 2:53:56 time: 0.403986 data_time: 0.024511 memory: 15677 loss_kpt: 0.016707 acc_pose: 0.664178 loss: 0.016707 2022/10/11 03:17:58 - mmengine - INFO - Epoch(train) [163][450/586] lr: 5.000000e-04 eta: 2:53:38 time: 0.398234 data_time: 0.023261 memory: 15677 loss_kpt: 0.016349 acc_pose: 0.647785 loss: 0.016349 2022/10/11 03:18:18 - mmengine - INFO - Epoch(train) [163][500/586] lr: 5.000000e-04 eta: 2:53:20 time: 0.401813 data_time: 0.024920 memory: 15677 loss_kpt: 0.016550 acc_pose: 0.732945 loss: 0.016550 2022/10/11 03:18:38 - mmengine - INFO - Epoch(train) [163][550/586] lr: 5.000000e-04 eta: 2:53:01 time: 0.396075 data_time: 0.024721 memory: 15677 loss_kpt: 0.016703 acc_pose: 0.725604 loss: 0.016703 2022/10/11 03:18:52 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:19:13 - mmengine - INFO - Epoch(train) [164][50/586] lr: 5.000000e-04 eta: 2:52:25 time: 0.413466 data_time: 0.033441 memory: 15677 loss_kpt: 0.016290 acc_pose: 0.712836 loss: 0.016290 2022/10/11 03:19:33 - mmengine - INFO - Epoch(train) [164][100/586] lr: 5.000000e-04 eta: 2:52:07 time: 0.398460 data_time: 0.023784 memory: 15677 loss_kpt: 0.016884 acc_pose: 0.735473 loss: 0.016884 2022/10/11 03:19:53 - mmengine - INFO - Epoch(train) [164][150/586] lr: 5.000000e-04 eta: 2:51:48 time: 0.399624 data_time: 0.029030 memory: 15677 loss_kpt: 0.016624 acc_pose: 0.721711 loss: 0.016624 2022/10/11 03:20:13 - mmengine - INFO - Epoch(train) [164][200/586] lr: 5.000000e-04 eta: 2:51:30 time: 0.393534 data_time: 0.024631 memory: 15677 loss_kpt: 0.016266 acc_pose: 0.733989 loss: 0.016266 2022/10/11 03:20:33 - mmengine - INFO - Epoch(train) [164][250/586] lr: 5.000000e-04 eta: 2:51:11 time: 0.406455 data_time: 0.024171 memory: 15677 loss_kpt: 0.016106 acc_pose: 0.752248 loss: 0.016106 2022/10/11 03:20:53 - mmengine - INFO - Epoch(train) [164][300/586] lr: 5.000000e-04 eta: 2:50:53 time: 0.399419 data_time: 0.025366 memory: 15677 loss_kpt: 0.016701 acc_pose: 0.626135 loss: 0.016701 2022/10/11 03:21:13 - mmengine - INFO - Epoch(train) [164][350/586] lr: 5.000000e-04 eta: 2:50:34 time: 0.398578 data_time: 0.024717 memory: 15677 loss_kpt: 0.016337 acc_pose: 0.747594 loss: 0.016337 2022/10/11 03:21:33 - mmengine - INFO - Epoch(train) [164][400/586] lr: 5.000000e-04 eta: 2:50:16 time: 0.395761 data_time: 0.026104 memory: 15677 loss_kpt: 0.016932 acc_pose: 0.684369 loss: 0.016932 2022/10/11 03:21:53 - mmengine - INFO - Epoch(train) [164][450/586] lr: 5.000000e-04 eta: 2:49:57 time: 0.402930 data_time: 0.027337 memory: 15677 loss_kpt: 0.016515 acc_pose: 0.769542 loss: 0.016515 2022/10/11 03:22:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:22:13 - mmengine - INFO - Epoch(train) [164][500/586] lr: 5.000000e-04 eta: 2:49:39 time: 0.402015 data_time: 0.023387 memory: 15677 loss_kpt: 0.016679 acc_pose: 0.663489 loss: 0.016679 2022/10/11 03:22:33 - mmengine - INFO - Epoch(train) [164][550/586] lr: 5.000000e-04 eta: 2:49:20 time: 0.397870 data_time: 0.023391 memory: 15677 loss_kpt: 0.016708 acc_pose: 0.756994 loss: 0.016708 2022/10/11 03:22:47 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:23:07 - mmengine - INFO - Epoch(train) [165][50/586] lr: 5.000000e-04 eta: 2:48:45 time: 0.412135 data_time: 0.035990 memory: 15677 loss_kpt: 0.016031 acc_pose: 0.720007 loss: 0.016031 2022/10/11 03:23:28 - mmengine - INFO - Epoch(train) [165][100/586] lr: 5.000000e-04 eta: 2:48:26 time: 0.399867 data_time: 0.023668 memory: 15677 loss_kpt: 0.016084 acc_pose: 0.703572 loss: 0.016084 2022/10/11 03:23:48 - mmengine - INFO - Epoch(train) [165][150/586] lr: 5.000000e-04 eta: 2:48:08 time: 0.404165 data_time: 0.024139 memory: 15677 loss_kpt: 0.016711 acc_pose: 0.666878 loss: 0.016711 2022/10/11 03:24:08 - mmengine - INFO - Epoch(train) [165][200/586] lr: 5.000000e-04 eta: 2:47:49 time: 0.398606 data_time: 0.024786 memory: 15677 loss_kpt: 0.016496 acc_pose: 0.738841 loss: 0.016496 2022/10/11 03:24:28 - mmengine - INFO - Epoch(train) [165][250/586] lr: 5.000000e-04 eta: 2:47:31 time: 0.401365 data_time: 0.025335 memory: 15677 loss_kpt: 0.016328 acc_pose: 0.700772 loss: 0.016328 2022/10/11 03:24:47 - mmengine - INFO - Epoch(train) [165][300/586] lr: 5.000000e-04 eta: 2:47:12 time: 0.393796 data_time: 0.022860 memory: 15677 loss_kpt: 0.016658 acc_pose: 0.707437 loss: 0.016658 2022/10/11 03:25:08 - mmengine - INFO - Epoch(train) [165][350/586] lr: 5.000000e-04 eta: 2:46:54 time: 0.409194 data_time: 0.027203 memory: 15677 loss_kpt: 0.016565 acc_pose: 0.520858 loss: 0.016565 2022/10/11 03:25:28 - mmengine - INFO - Epoch(train) [165][400/586] lr: 5.000000e-04 eta: 2:46:35 time: 0.397218 data_time: 0.024102 memory: 15677 loss_kpt: 0.016556 acc_pose: 0.690853 loss: 0.016556 2022/10/11 03:25:48 - mmengine - INFO - Epoch(train) [165][450/586] lr: 5.000000e-04 eta: 2:46:17 time: 0.397147 data_time: 0.023417 memory: 15677 loss_kpt: 0.016193 acc_pose: 0.678385 loss: 0.016193 2022/10/11 03:26:08 - mmengine - INFO - Epoch(train) [165][500/586] lr: 5.000000e-04 eta: 2:45:58 time: 0.397214 data_time: 0.025362 memory: 15677 loss_kpt: 0.016279 acc_pose: 0.758563 loss: 0.016279 2022/10/11 03:26:28 - mmengine - INFO - Epoch(train) [165][550/586] lr: 5.000000e-04 eta: 2:45:40 time: 0.409147 data_time: 0.032935 memory: 15677 loss_kpt: 0.016260 acc_pose: 0.766135 loss: 0.016260 2022/10/11 03:26:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:27:03 - mmengine - INFO - Epoch(train) [166][50/586] lr: 5.000000e-04 eta: 2:45:04 time: 0.414673 data_time: 0.034789 memory: 15677 loss_kpt: 0.016558 acc_pose: 0.709054 loss: 0.016558 2022/10/11 03:27:23 - mmengine - INFO - Epoch(train) [166][100/586] lr: 5.000000e-04 eta: 2:44:46 time: 0.397964 data_time: 0.024736 memory: 15677 loss_kpt: 0.016262 acc_pose: 0.729291 loss: 0.016262 2022/10/11 03:27:43 - mmengine - INFO - Epoch(train) [166][150/586] lr: 5.000000e-04 eta: 2:44:27 time: 0.401568 data_time: 0.026420 memory: 15677 loss_kpt: 0.016363 acc_pose: 0.708809 loss: 0.016363 2022/10/11 03:28:03 - mmengine - INFO - Epoch(train) [166][200/586] lr: 5.000000e-04 eta: 2:44:09 time: 0.403619 data_time: 0.029386 memory: 15677 loss_kpt: 0.016376 acc_pose: 0.726064 loss: 0.016376 2022/10/11 03:28:23 - mmengine - INFO - Epoch(train) [166][250/586] lr: 5.000000e-04 eta: 2:43:50 time: 0.400594 data_time: 0.024506 memory: 15677 loss_kpt: 0.016350 acc_pose: 0.683387 loss: 0.016350 2022/10/11 03:28:43 - mmengine - INFO - Epoch(train) [166][300/586] lr: 5.000000e-04 eta: 2:43:32 time: 0.405000 data_time: 0.028651 memory: 15677 loss_kpt: 0.016173 acc_pose: 0.688763 loss: 0.016173 2022/10/11 03:28:47 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:29:03 - mmengine - INFO - Epoch(train) [166][350/586] lr: 5.000000e-04 eta: 2:43:13 time: 0.398462 data_time: 0.029426 memory: 15677 loss_kpt: 0.016996 acc_pose: 0.776291 loss: 0.016996 2022/10/11 03:29:23 - mmengine - INFO - Epoch(train) [166][400/586] lr: 5.000000e-04 eta: 2:42:55 time: 0.395739 data_time: 0.029611 memory: 15677 loss_kpt: 0.016704 acc_pose: 0.647976 loss: 0.016704 2022/10/11 03:29:44 - mmengine - INFO - Epoch(train) [166][450/586] lr: 5.000000e-04 eta: 2:42:36 time: 0.406682 data_time: 0.025474 memory: 15677 loss_kpt: 0.016978 acc_pose: 0.600263 loss: 0.016978 2022/10/11 03:30:03 - mmengine - INFO - Epoch(train) [166][500/586] lr: 5.000000e-04 eta: 2:42:18 time: 0.398402 data_time: 0.024948 memory: 15677 loss_kpt: 0.016738 acc_pose: 0.741313 loss: 0.016738 2022/10/11 03:30:23 - mmengine - INFO - Epoch(train) [166][550/586] lr: 5.000000e-04 eta: 2:41:59 time: 0.400438 data_time: 0.026945 memory: 15677 loss_kpt: 0.016330 acc_pose: 0.712241 loss: 0.016330 2022/10/11 03:30:38 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:30:58 - mmengine - INFO - Epoch(train) [167][50/586] lr: 5.000000e-04 eta: 2:41:24 time: 0.414471 data_time: 0.035798 memory: 15677 loss_kpt: 0.016235 acc_pose: 0.776098 loss: 0.016235 2022/10/11 03:31:19 - mmengine - INFO - Epoch(train) [167][100/586] lr: 5.000000e-04 eta: 2:41:05 time: 0.401968 data_time: 0.023850 memory: 15677 loss_kpt: 0.016187 acc_pose: 0.697375 loss: 0.016187 2022/10/11 03:31:38 - mmengine - INFO - Epoch(train) [167][150/586] lr: 5.000000e-04 eta: 2:40:47 time: 0.394454 data_time: 0.025223 memory: 15677 loss_kpt: 0.016569 acc_pose: 0.788622 loss: 0.016569 2022/10/11 03:31:58 - mmengine - INFO - Epoch(train) [167][200/586] lr: 5.000000e-04 eta: 2:40:28 time: 0.401406 data_time: 0.026032 memory: 15677 loss_kpt: 0.016344 acc_pose: 0.804854 loss: 0.016344 2022/10/11 03:32:18 - mmengine - INFO - Epoch(train) [167][250/586] lr: 5.000000e-04 eta: 2:40:10 time: 0.396246 data_time: 0.024205 memory: 15677 loss_kpt: 0.017002 acc_pose: 0.669741 loss: 0.017002 2022/10/11 03:32:38 - mmengine - INFO - Epoch(train) [167][300/586] lr: 5.000000e-04 eta: 2:39:51 time: 0.402115 data_time: 0.024560 memory: 15677 loss_kpt: 0.016604 acc_pose: 0.713667 loss: 0.016604 2022/10/11 03:32:58 - mmengine - INFO - Epoch(train) [167][350/586] lr: 5.000000e-04 eta: 2:39:33 time: 0.399908 data_time: 0.027700 memory: 15677 loss_kpt: 0.016170 acc_pose: 0.657961 loss: 0.016170 2022/10/11 03:33:19 - mmengine - INFO - Epoch(train) [167][400/586] lr: 5.000000e-04 eta: 2:39:14 time: 0.405406 data_time: 0.025870 memory: 15677 loss_kpt: 0.016264 acc_pose: 0.637228 loss: 0.016264 2022/10/11 03:33:38 - mmengine - INFO - Epoch(train) [167][450/586] lr: 5.000000e-04 eta: 2:38:56 time: 0.394682 data_time: 0.026691 memory: 15677 loss_kpt: 0.016453 acc_pose: 0.685295 loss: 0.016453 2022/10/11 03:33:59 - mmengine - INFO - Epoch(train) [167][500/586] lr: 5.000000e-04 eta: 2:38:37 time: 0.403043 data_time: 0.031996 memory: 15677 loss_kpt: 0.015763 acc_pose: 0.725244 loss: 0.015763 2022/10/11 03:34:19 - mmengine - INFO - Epoch(train) [167][550/586] lr: 5.000000e-04 eta: 2:38:19 time: 0.400382 data_time: 0.025169 memory: 15677 loss_kpt: 0.016243 acc_pose: 0.716875 loss: 0.016243 2022/10/11 03:34:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:34:54 - mmengine - INFO - Epoch(train) [168][50/586] lr: 5.000000e-04 eta: 2:37:44 time: 0.417741 data_time: 0.041681 memory: 15677 loss_kpt: 0.016465 acc_pose: 0.660927 loss: 0.016465 2022/10/11 03:35:14 - mmengine - INFO - Epoch(train) [168][100/586] lr: 5.000000e-04 eta: 2:37:25 time: 0.397044 data_time: 0.026880 memory: 15677 loss_kpt: 0.016238 acc_pose: 0.753237 loss: 0.016238 2022/10/11 03:35:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:35:34 - mmengine - INFO - Epoch(train) [168][150/586] lr: 5.000000e-04 eta: 2:37:07 time: 0.404498 data_time: 0.024510 memory: 15677 loss_kpt: 0.016569 acc_pose: 0.707909 loss: 0.016569 2022/10/11 03:35:54 - mmengine - INFO - Epoch(train) [168][200/586] lr: 5.000000e-04 eta: 2:36:48 time: 0.403686 data_time: 0.027641 memory: 15677 loss_kpt: 0.016476 acc_pose: 0.744745 loss: 0.016476 2022/10/11 03:36:14 - mmengine - INFO - Epoch(train) [168][250/586] lr: 5.000000e-04 eta: 2:36:30 time: 0.398294 data_time: 0.025285 memory: 15677 loss_kpt: 0.016640 acc_pose: 0.731116 loss: 0.016640 2022/10/11 03:36:34 - mmengine - INFO - Epoch(train) [168][300/586] lr: 5.000000e-04 eta: 2:36:11 time: 0.400581 data_time: 0.024962 memory: 15677 loss_kpt: 0.016216 acc_pose: 0.732529 loss: 0.016216 2022/10/11 03:36:54 - mmengine - INFO - Epoch(train) [168][350/586] lr: 5.000000e-04 eta: 2:35:53 time: 0.402812 data_time: 0.025222 memory: 15677 loss_kpt: 0.016617 acc_pose: 0.635233 loss: 0.016617 2022/10/11 03:37:14 - mmengine - INFO - Epoch(train) [168][400/586] lr: 5.000000e-04 eta: 2:35:34 time: 0.395621 data_time: 0.025086 memory: 15677 loss_kpt: 0.016356 acc_pose: 0.699998 loss: 0.016356 2022/10/11 03:37:34 - mmengine - INFO - Epoch(train) [168][450/586] lr: 5.000000e-04 eta: 2:35:15 time: 0.402676 data_time: 0.025926 memory: 15677 loss_kpt: 0.016202 acc_pose: 0.772509 loss: 0.016202 2022/10/11 03:37:54 - mmengine - INFO - Epoch(train) [168][500/586] lr: 5.000000e-04 eta: 2:34:57 time: 0.400658 data_time: 0.026024 memory: 15677 loss_kpt: 0.016528 acc_pose: 0.807326 loss: 0.016528 2022/10/11 03:38:14 - mmengine - INFO - Epoch(train) [168][550/586] lr: 5.000000e-04 eta: 2:34:38 time: 0.395360 data_time: 0.023621 memory: 15677 loss_kpt: 0.016187 acc_pose: 0.695889 loss: 0.016187 2022/10/11 03:38:28 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:38:49 - mmengine - INFO - Epoch(train) [169][50/586] lr: 5.000000e-04 eta: 2:34:03 time: 0.415084 data_time: 0.036564 memory: 15677 loss_kpt: 0.016529 acc_pose: 0.768533 loss: 0.016529 2022/10/11 03:39:09 - mmengine - INFO - Epoch(train) [169][100/586] lr: 5.000000e-04 eta: 2:33:45 time: 0.399448 data_time: 0.024501 memory: 15677 loss_kpt: 0.016433 acc_pose: 0.675148 loss: 0.016433 2022/10/11 03:39:29 - mmengine - INFO - Epoch(train) [169][150/586] lr: 5.000000e-04 eta: 2:33:26 time: 0.401699 data_time: 0.026844 memory: 15677 loss_kpt: 0.016106 acc_pose: 0.782807 loss: 0.016106 2022/10/11 03:39:49 - mmengine - INFO - Epoch(train) [169][200/586] lr: 5.000000e-04 eta: 2:33:07 time: 0.397395 data_time: 0.024143 memory: 15677 loss_kpt: 0.016738 acc_pose: 0.784694 loss: 0.016738 2022/10/11 03:40:09 - mmengine - INFO - Epoch(train) [169][250/586] lr: 5.000000e-04 eta: 2:32:49 time: 0.400615 data_time: 0.025123 memory: 15677 loss_kpt: 0.016731 acc_pose: 0.668121 loss: 0.016731 2022/10/11 03:40:29 - mmengine - INFO - Epoch(train) [169][300/586] lr: 5.000000e-04 eta: 2:32:30 time: 0.403324 data_time: 0.023944 memory: 15677 loss_kpt: 0.016608 acc_pose: 0.666336 loss: 0.016608 2022/10/11 03:40:49 - mmengine - INFO - Epoch(train) [169][350/586] lr: 5.000000e-04 eta: 2:32:12 time: 0.394314 data_time: 0.024226 memory: 15677 loss_kpt: 0.016084 acc_pose: 0.717461 loss: 0.016084 2022/10/11 03:41:09 - mmengine - INFO - Epoch(train) [169][400/586] lr: 5.000000e-04 eta: 2:31:53 time: 0.402256 data_time: 0.025299 memory: 15677 loss_kpt: 0.016135 acc_pose: 0.804851 loss: 0.016135 2022/10/11 03:41:29 - mmengine - INFO - Epoch(train) [169][450/586] lr: 5.000000e-04 eta: 2:31:35 time: 0.402719 data_time: 0.025373 memory: 15677 loss_kpt: 0.016320 acc_pose: 0.760566 loss: 0.016320 2022/10/11 03:41:49 - mmengine - INFO - Epoch(train) [169][500/586] lr: 5.000000e-04 eta: 2:31:16 time: 0.393911 data_time: 0.027079 memory: 15677 loss_kpt: 0.016779 acc_pose: 0.712853 loss: 0.016779 2022/10/11 03:42:09 - mmengine - INFO - Epoch(train) [169][550/586] lr: 5.000000e-04 eta: 2:30:58 time: 0.409762 data_time: 0.027426 memory: 15677 loss_kpt: 0.016899 acc_pose: 0.691580 loss: 0.016899 2022/10/11 03:42:10 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:42:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:42:44 - mmengine - INFO - Epoch(train) [170][50/586] lr: 5.000000e-04 eta: 2:30:23 time: 0.404081 data_time: 0.033547 memory: 15677 loss_kpt: 0.016049 acc_pose: 0.761786 loss: 0.016049 2022/10/11 03:43:04 - mmengine - INFO - Epoch(train) [170][100/586] lr: 5.000000e-04 eta: 2:30:04 time: 0.396427 data_time: 0.025108 memory: 15677 loss_kpt: 0.016943 acc_pose: 0.683183 loss: 0.016943 2022/10/11 03:43:24 - mmengine - INFO - Epoch(train) [170][150/586] lr: 5.000000e-04 eta: 2:29:45 time: 0.398846 data_time: 0.026293 memory: 15677 loss_kpt: 0.015884 acc_pose: 0.634602 loss: 0.015884 2022/10/11 03:43:44 - mmengine - INFO - Epoch(train) [170][200/586] lr: 5.000000e-04 eta: 2:29:27 time: 0.404049 data_time: 0.024769 memory: 15677 loss_kpt: 0.016351 acc_pose: 0.721524 loss: 0.016351 2022/10/11 03:44:04 - mmengine - INFO - Epoch(train) [170][250/586] lr: 5.000000e-04 eta: 2:29:08 time: 0.402139 data_time: 0.026633 memory: 15677 loss_kpt: 0.016158 acc_pose: 0.670430 loss: 0.016158 2022/10/11 03:44:24 - mmengine - INFO - Epoch(train) [170][300/586] lr: 5.000000e-04 eta: 2:28:50 time: 0.399149 data_time: 0.025599 memory: 15677 loss_kpt: 0.016753 acc_pose: 0.732541 loss: 0.016753 2022/10/11 03:44:45 - mmengine - INFO - Epoch(train) [170][350/586] lr: 5.000000e-04 eta: 2:28:31 time: 0.405227 data_time: 0.025681 memory: 15677 loss_kpt: 0.016687 acc_pose: 0.657259 loss: 0.016687 2022/10/11 03:45:05 - mmengine - INFO - Epoch(train) [170][400/586] lr: 5.000000e-04 eta: 2:28:13 time: 0.405651 data_time: 0.025544 memory: 15677 loss_kpt: 0.017086 acc_pose: 0.627197 loss: 0.017086 2022/10/11 03:45:25 - mmengine - INFO - Epoch(train) [170][450/586] lr: 5.000000e-04 eta: 2:27:54 time: 0.397343 data_time: 0.024560 memory: 15677 loss_kpt: 0.016676 acc_pose: 0.672577 loss: 0.016676 2022/10/11 03:45:45 - mmengine - INFO - Epoch(train) [170][500/586] lr: 5.000000e-04 eta: 2:27:36 time: 0.404188 data_time: 0.030821 memory: 15677 loss_kpt: 0.016489 acc_pose: 0.684206 loss: 0.016489 2022/10/11 03:46:05 - mmengine - INFO - Epoch(train) [170][550/586] lr: 5.000000e-04 eta: 2:27:17 time: 0.400995 data_time: 0.026714 memory: 15677 loss_kpt: 0.015984 acc_pose: 0.696625 loss: 0.015984 2022/10/11 03:46:19 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:46:19 - mmengine - INFO - Saving checkpoint at 170 epochs 2022/10/11 03:46:32 - mmengine - INFO - Epoch(val) [170][50/407] eta: 0:01:13 time: 0.204828 data_time: 0.019771 memory: 15677 2022/10/11 03:46:42 - mmengine - INFO - Epoch(val) [170][100/407] eta: 0:00:58 time: 0.190870 data_time: 0.009457 memory: 4213 2022/10/11 03:46:51 - mmengine - INFO - Epoch(val) [170][150/407] eta: 0:00:49 time: 0.193558 data_time: 0.011958 memory: 4213 2022/10/11 03:47:01 - mmengine - INFO - Epoch(val) [170][200/407] eta: 0:00:39 time: 0.190591 data_time: 0.008997 memory: 4213 2022/10/11 03:47:10 - mmengine - INFO - Epoch(val) [170][250/407] eta: 0:00:29 time: 0.190140 data_time: 0.009105 memory: 4213 2022/10/11 03:47:20 - mmengine - INFO - Epoch(val) [170][300/407] eta: 0:00:20 time: 0.190670 data_time: 0.009439 memory: 4213 2022/10/11 03:47:29 - mmengine - INFO - Epoch(val) [170][350/407] eta: 0:00:10 time: 0.190271 data_time: 0.009527 memory: 4213 2022/10/11 03:47:39 - mmengine - INFO - Epoch(val) [170][400/407] eta: 0:00:01 time: 0.189571 data_time: 0.008650 memory: 4213 2022/10/11 03:48:11 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 03:48:24 - mmengine - INFO - Epoch(val) [170][407/407] coco/AP: 0.636412 coco/AP .5: 0.855451 coco/AP .75: 0.713115 coco/AP (M): 0.602965 coco/AP (L): 0.703361 coco/AR: 0.694443 coco/AR .5: 0.899717 coco/AR .75: 0.764169 coco/AR (M): 0.651734 coco/AR (L): 0.755667 2022/10/11 03:48:24 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_160.pth is removed 2022/10/11 03:48:26 - mmengine - INFO - The best checkpoint with 0.6364 coco/AP at 170 epoch is saved to best_coco/AP_epoch_170.pth. 2022/10/11 03:48:46 - mmengine - INFO - Epoch(train) [171][50/586] lr: 5.000000e-05 eta: 2:26:42 time: 0.408966 data_time: 0.031252 memory: 15677 loss_kpt: 0.016538 acc_pose: 0.685314 loss: 0.016538 2022/10/11 03:49:06 - mmengine - INFO - Epoch(train) [171][100/586] lr: 5.000000e-05 eta: 2:26:24 time: 0.402419 data_time: 0.026012 memory: 15677 loss_kpt: 0.015779 acc_pose: 0.722401 loss: 0.015779 2022/10/11 03:49:27 - mmengine - INFO - Epoch(train) [171][150/586] lr: 5.000000e-05 eta: 2:26:05 time: 0.406016 data_time: 0.026330 memory: 15677 loss_kpt: 0.015852 acc_pose: 0.768977 loss: 0.015852 2022/10/11 03:49:47 - mmengine - INFO - Epoch(train) [171][200/586] lr: 5.000000e-05 eta: 2:25:47 time: 0.400352 data_time: 0.024378 memory: 15677 loss_kpt: 0.016160 acc_pose: 0.732594 loss: 0.016160 2022/10/11 03:50:07 - mmengine - INFO - Epoch(train) [171][250/586] lr: 5.000000e-05 eta: 2:25:28 time: 0.406620 data_time: 0.026532 memory: 15677 loss_kpt: 0.015917 acc_pose: 0.785623 loss: 0.015917 2022/10/11 03:50:27 - mmengine - INFO - Epoch(train) [171][300/586] lr: 5.000000e-05 eta: 2:25:10 time: 0.398969 data_time: 0.024575 memory: 15677 loss_kpt: 0.016241 acc_pose: 0.704091 loss: 0.016241 2022/10/11 03:50:47 - mmengine - INFO - Epoch(train) [171][350/586] lr: 5.000000e-05 eta: 2:24:51 time: 0.399814 data_time: 0.024581 memory: 15677 loss_kpt: 0.016369 acc_pose: 0.753146 loss: 0.016369 2022/10/11 03:50:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:51:07 - mmengine - INFO - Epoch(train) [171][400/586] lr: 5.000000e-05 eta: 2:24:32 time: 0.400967 data_time: 0.024818 memory: 15677 loss_kpt: 0.016018 acc_pose: 0.705747 loss: 0.016018 2022/10/11 03:51:27 - mmengine - INFO - Epoch(train) [171][450/586] lr: 5.000000e-05 eta: 2:24:14 time: 0.401801 data_time: 0.024197 memory: 15677 loss_kpt: 0.015875 acc_pose: 0.660171 loss: 0.015875 2022/10/11 03:51:47 - mmengine - INFO - Epoch(train) [171][500/586] lr: 5.000000e-05 eta: 2:23:55 time: 0.396142 data_time: 0.023146 memory: 15677 loss_kpt: 0.015673 acc_pose: 0.807086 loss: 0.015673 2022/10/11 03:52:07 - mmengine - INFO - Epoch(train) [171][550/586] lr: 5.000000e-05 eta: 2:23:37 time: 0.401938 data_time: 0.027121 memory: 15677 loss_kpt: 0.015741 acc_pose: 0.703564 loss: 0.015741 2022/10/11 03:52:21 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:52:42 - mmengine - INFO - Epoch(train) [172][50/586] lr: 5.000000e-05 eta: 2:23:02 time: 0.413397 data_time: 0.033580 memory: 15677 loss_kpt: 0.015713 acc_pose: 0.722047 loss: 0.015713 2022/10/11 03:53:02 - mmengine - INFO - Epoch(train) [172][100/586] lr: 5.000000e-05 eta: 2:22:43 time: 0.403356 data_time: 0.024923 memory: 15677 loss_kpt: 0.015628 acc_pose: 0.730689 loss: 0.015628 2022/10/11 03:53:22 - mmengine - INFO - Epoch(train) [172][150/586] lr: 5.000000e-05 eta: 2:22:25 time: 0.398007 data_time: 0.025362 memory: 15677 loss_kpt: 0.015822 acc_pose: 0.713529 loss: 0.015822 2022/10/11 03:53:42 - mmengine - INFO - Epoch(train) [172][200/586] lr: 5.000000e-05 eta: 2:22:06 time: 0.399173 data_time: 0.028340 memory: 15677 loss_kpt: 0.015966 acc_pose: 0.756082 loss: 0.015966 2022/10/11 03:54:02 - mmengine - INFO - Epoch(train) [172][250/586] lr: 5.000000e-05 eta: 2:21:48 time: 0.396579 data_time: 0.023198 memory: 15677 loss_kpt: 0.016084 acc_pose: 0.683923 loss: 0.016084 2022/10/11 03:54:22 - mmengine - INFO - Epoch(train) [172][300/586] lr: 5.000000e-05 eta: 2:21:29 time: 0.402719 data_time: 0.025394 memory: 15677 loss_kpt: 0.016023 acc_pose: 0.726211 loss: 0.016023 2022/10/11 03:54:42 - mmengine - INFO - Epoch(train) [172][350/586] lr: 5.000000e-05 eta: 2:21:10 time: 0.400700 data_time: 0.024019 memory: 15677 loss_kpt: 0.015588 acc_pose: 0.689109 loss: 0.015588 2022/10/11 03:55:02 - mmengine - INFO - Epoch(train) [172][400/586] lr: 5.000000e-05 eta: 2:20:52 time: 0.403938 data_time: 0.026322 memory: 15677 loss_kpt: 0.016179 acc_pose: 0.693534 loss: 0.016179 2022/10/11 03:55:22 - mmengine - INFO - Epoch(train) [172][450/586] lr: 5.000000e-05 eta: 2:20:33 time: 0.400829 data_time: 0.025314 memory: 15677 loss_kpt: 0.015867 acc_pose: 0.755233 loss: 0.015867 2022/10/11 03:55:42 - mmengine - INFO - Epoch(train) [172][500/586] lr: 5.000000e-05 eta: 2:20:15 time: 0.396813 data_time: 0.023917 memory: 15677 loss_kpt: 0.015950 acc_pose: 0.731382 loss: 0.015950 2022/10/11 03:56:03 - mmengine - INFO - Epoch(train) [172][550/586] lr: 5.000000e-05 eta: 2:19:56 time: 0.404115 data_time: 0.023732 memory: 15677 loss_kpt: 0.015652 acc_pose: 0.689397 loss: 0.015652 2022/10/11 03:56:16 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:56:37 - mmengine - INFO - Epoch(train) [173][50/586] lr: 5.000000e-05 eta: 2:19:21 time: 0.408366 data_time: 0.036510 memory: 15677 loss_kpt: 0.015799 acc_pose: 0.748442 loss: 0.015799 2022/10/11 03:56:57 - mmengine - INFO - Epoch(train) [173][100/586] lr: 5.000000e-05 eta: 2:19:03 time: 0.405390 data_time: 0.025688 memory: 15677 loss_kpt: 0.016341 acc_pose: 0.580704 loss: 0.016341 2022/10/11 03:57:18 - mmengine - INFO - Epoch(train) [173][150/586] lr: 5.000000e-05 eta: 2:18:44 time: 0.407738 data_time: 0.026180 memory: 15677 loss_kpt: 0.015632 acc_pose: 0.742432 loss: 0.015632 2022/10/11 03:57:38 - mmengine - INFO - Epoch(train) [173][200/586] lr: 5.000000e-05 eta: 2:18:26 time: 0.399271 data_time: 0.028314 memory: 15677 loss_kpt: 0.015592 acc_pose: 0.689330 loss: 0.015592 2022/10/11 03:57:41 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 03:57:58 - mmengine - INFO - Epoch(train) [173][250/586] lr: 5.000000e-05 eta: 2:18:07 time: 0.401612 data_time: 0.029168 memory: 15677 loss_kpt: 0.015597 acc_pose: 0.731124 loss: 0.015597 2022/10/11 03:58:18 - mmengine - INFO - Epoch(train) [173][300/586] lr: 5.000000e-05 eta: 2:17:49 time: 0.404005 data_time: 0.023578 memory: 15677 loss_kpt: 0.015760 acc_pose: 0.708479 loss: 0.015760 2022/10/11 03:58:38 - mmengine - INFO - Epoch(train) [173][350/586] lr: 5.000000e-05 eta: 2:17:30 time: 0.403637 data_time: 0.024453 memory: 15677 loss_kpt: 0.016181 acc_pose: 0.672839 loss: 0.016181 2022/10/11 03:58:58 - mmengine - INFO - Epoch(train) [173][400/586] lr: 5.000000e-05 eta: 2:17:12 time: 0.397833 data_time: 0.023303 memory: 15677 loss_kpt: 0.015816 acc_pose: 0.672793 loss: 0.015816 2022/10/11 03:59:18 - mmengine - INFO - Epoch(train) [173][450/586] lr: 5.000000e-05 eta: 2:16:53 time: 0.395498 data_time: 0.024072 memory: 15677 loss_kpt: 0.015346 acc_pose: 0.746900 loss: 0.015346 2022/10/11 03:59:38 - mmengine - INFO - Epoch(train) [173][500/586] lr: 5.000000e-05 eta: 2:16:34 time: 0.402258 data_time: 0.023471 memory: 15677 loss_kpt: 0.016101 acc_pose: 0.790266 loss: 0.016101 2022/10/11 03:59:58 - mmengine - INFO - Epoch(train) [173][550/586] lr: 5.000000e-05 eta: 2:16:16 time: 0.400221 data_time: 0.023800 memory: 15677 loss_kpt: 0.015819 acc_pose: 0.726043 loss: 0.015819 2022/10/11 04:00:12 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:00:33 - mmengine - INFO - Epoch(train) [174][50/586] lr: 5.000000e-05 eta: 2:15:41 time: 0.410314 data_time: 0.031461 memory: 15677 loss_kpt: 0.015918 acc_pose: 0.733197 loss: 0.015918 2022/10/11 04:00:53 - mmengine - INFO - Epoch(train) [174][100/586] lr: 5.000000e-05 eta: 2:15:22 time: 0.396569 data_time: 0.024685 memory: 15677 loss_kpt: 0.016200 acc_pose: 0.681501 loss: 0.016200 2022/10/11 04:01:13 - mmengine - INFO - Epoch(train) [174][150/586] lr: 5.000000e-05 eta: 2:15:04 time: 0.408580 data_time: 0.028096 memory: 15677 loss_kpt: 0.015840 acc_pose: 0.667076 loss: 0.015840 2022/10/11 04:01:33 - mmengine - INFO - Epoch(train) [174][200/586] lr: 5.000000e-05 eta: 2:14:45 time: 0.399511 data_time: 0.024826 memory: 15677 loss_kpt: 0.015738 acc_pose: 0.698289 loss: 0.015738 2022/10/11 04:01:53 - mmengine - INFO - Epoch(train) [174][250/586] lr: 5.000000e-05 eta: 2:14:27 time: 0.403083 data_time: 0.024685 memory: 15677 loss_kpt: 0.015417 acc_pose: 0.688700 loss: 0.015417 2022/10/11 04:02:13 - mmengine - INFO - Epoch(train) [174][300/586] lr: 5.000000e-05 eta: 2:14:08 time: 0.396996 data_time: 0.027007 memory: 15677 loss_kpt: 0.015827 acc_pose: 0.759608 loss: 0.015827 2022/10/11 04:02:33 - mmengine - INFO - Epoch(train) [174][350/586] lr: 5.000000e-05 eta: 2:13:50 time: 0.403379 data_time: 0.030274 memory: 15677 loss_kpt: 0.015723 acc_pose: 0.741820 loss: 0.015723 2022/10/11 04:02:53 - mmengine - INFO - Epoch(train) [174][400/586] lr: 5.000000e-05 eta: 2:13:31 time: 0.400304 data_time: 0.026603 memory: 15677 loss_kpt: 0.016241 acc_pose: 0.695184 loss: 0.016241 2022/10/11 04:03:14 - mmengine - INFO - Epoch(train) [174][450/586] lr: 5.000000e-05 eta: 2:13:12 time: 0.400660 data_time: 0.026085 memory: 15677 loss_kpt: 0.015876 acc_pose: 0.689718 loss: 0.015876 2022/10/11 04:03:33 - mmengine - INFO - Epoch(train) [174][500/586] lr: 5.000000e-05 eta: 2:12:54 time: 0.396902 data_time: 0.024388 memory: 15677 loss_kpt: 0.016133 acc_pose: 0.801158 loss: 0.016133 2022/10/11 04:03:53 - mmengine - INFO - Epoch(train) [174][550/586] lr: 5.000000e-05 eta: 2:12:35 time: 0.398636 data_time: 0.024769 memory: 15677 loss_kpt: 0.015835 acc_pose: 0.680314 loss: 0.015835 2022/10/11 04:04:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:04:23 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:04:29 - mmengine - INFO - Epoch(train) [175][50/586] lr: 5.000000e-05 eta: 2:12:01 time: 0.425333 data_time: 0.034399 memory: 15677 loss_kpt: 0.015580 acc_pose: 0.727860 loss: 0.015580 2022/10/11 04:04:49 - mmengine - INFO - Epoch(train) [175][100/586] lr: 5.000000e-05 eta: 2:11:42 time: 0.400417 data_time: 0.023577 memory: 15677 loss_kpt: 0.015888 acc_pose: 0.715285 loss: 0.015888 2022/10/11 04:05:09 - mmengine - INFO - Epoch(train) [175][150/586] lr: 5.000000e-05 eta: 2:11:23 time: 0.398670 data_time: 0.025995 memory: 15677 loss_kpt: 0.015896 acc_pose: 0.768081 loss: 0.015896 2022/10/11 04:05:29 - mmengine - INFO - Epoch(train) [175][200/586] lr: 5.000000e-05 eta: 2:11:05 time: 0.397310 data_time: 0.026314 memory: 15677 loss_kpt: 0.015902 acc_pose: 0.821421 loss: 0.015902 2022/10/11 04:05:49 - mmengine - INFO - Epoch(train) [175][250/586] lr: 5.000000e-05 eta: 2:10:46 time: 0.400803 data_time: 0.023740 memory: 15677 loss_kpt: 0.015337 acc_pose: 0.720450 loss: 0.015337 2022/10/11 04:06:09 - mmengine - INFO - Epoch(train) [175][300/586] lr: 5.000000e-05 eta: 2:10:28 time: 0.406177 data_time: 0.024669 memory: 15677 loss_kpt: 0.015608 acc_pose: 0.709922 loss: 0.015608 2022/10/11 04:06:29 - mmengine - INFO - Epoch(train) [175][350/586] lr: 5.000000e-05 eta: 2:10:09 time: 0.394700 data_time: 0.023873 memory: 15677 loss_kpt: 0.015881 acc_pose: 0.737398 loss: 0.015881 2022/10/11 04:06:49 - mmengine - INFO - Epoch(train) [175][400/586] lr: 5.000000e-05 eta: 2:09:51 time: 0.400136 data_time: 0.024126 memory: 15677 loss_kpt: 0.015568 acc_pose: 0.669014 loss: 0.015568 2022/10/11 04:07:09 - mmengine - INFO - Epoch(train) [175][450/586] lr: 5.000000e-05 eta: 2:09:32 time: 0.401439 data_time: 0.024657 memory: 15677 loss_kpt: 0.016262 acc_pose: 0.693990 loss: 0.016262 2022/10/11 04:07:29 - mmengine - INFO - Epoch(train) [175][500/586] lr: 5.000000e-05 eta: 2:09:13 time: 0.403820 data_time: 0.024465 memory: 15677 loss_kpt: 0.015753 acc_pose: 0.642531 loss: 0.015753 2022/10/11 04:07:49 - mmengine - INFO - Epoch(train) [175][550/586] lr: 5.000000e-05 eta: 2:08:55 time: 0.404446 data_time: 0.024630 memory: 15677 loss_kpt: 0.015902 acc_pose: 0.733788 loss: 0.015902 2022/10/11 04:08:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:08:24 - mmengine - INFO - Epoch(train) [176][50/586] lr: 5.000000e-05 eta: 2:08:20 time: 0.421290 data_time: 0.032477 memory: 15677 loss_kpt: 0.016392 acc_pose: 0.800279 loss: 0.016392 2022/10/11 04:08:44 - mmengine - INFO - Epoch(train) [176][100/586] lr: 5.000000e-05 eta: 2:08:02 time: 0.398996 data_time: 0.023444 memory: 15677 loss_kpt: 0.015602 acc_pose: 0.631855 loss: 0.015602 2022/10/11 04:09:04 - mmengine - INFO - Epoch(train) [176][150/586] lr: 5.000000e-05 eta: 2:07:43 time: 0.400894 data_time: 0.027137 memory: 15677 loss_kpt: 0.015780 acc_pose: 0.763908 loss: 0.015780 2022/10/11 04:09:24 - mmengine - INFO - Epoch(train) [176][200/586] lr: 5.000000e-05 eta: 2:07:24 time: 0.397715 data_time: 0.025000 memory: 15677 loss_kpt: 0.015658 acc_pose: 0.727691 loss: 0.015658 2022/10/11 04:09:45 - mmengine - INFO - Epoch(train) [176][250/586] lr: 5.000000e-05 eta: 2:07:06 time: 0.405827 data_time: 0.026812 memory: 15677 loss_kpt: 0.015477 acc_pose: 0.714730 loss: 0.015477 2022/10/11 04:10:05 - mmengine - INFO - Epoch(train) [176][300/586] lr: 5.000000e-05 eta: 2:06:47 time: 0.402449 data_time: 0.025783 memory: 15677 loss_kpt: 0.015816 acc_pose: 0.723533 loss: 0.015816 2022/10/11 04:10:25 - mmengine - INFO - Epoch(train) [176][350/586] lr: 5.000000e-05 eta: 2:06:29 time: 0.404699 data_time: 0.026740 memory: 15677 loss_kpt: 0.015963 acc_pose: 0.708915 loss: 0.015963 2022/10/11 04:10:45 - mmengine - INFO - Epoch(train) [176][400/586] lr: 5.000000e-05 eta: 2:06:10 time: 0.396854 data_time: 0.023461 memory: 15677 loss_kpt: 0.015617 acc_pose: 0.691828 loss: 0.015617 2022/10/11 04:11:05 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:11:05 - mmengine - INFO - Epoch(train) [176][450/586] lr: 5.000000e-05 eta: 2:05:52 time: 0.395021 data_time: 0.025098 memory: 15677 loss_kpt: 0.015432 acc_pose: 0.636555 loss: 0.015432 2022/10/11 04:11:25 - mmengine - INFO - Epoch(train) [176][500/586] lr: 5.000000e-05 eta: 2:05:33 time: 0.403851 data_time: 0.028583 memory: 15677 loss_kpt: 0.015757 acc_pose: 0.753777 loss: 0.015757 2022/10/11 04:11:45 - mmengine - INFO - Epoch(train) [176][550/586] lr: 5.000000e-05 eta: 2:05:14 time: 0.404761 data_time: 0.025188 memory: 15677 loss_kpt: 0.015882 acc_pose: 0.673806 loss: 0.015882 2022/10/11 04:11:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:12:20 - mmengine - INFO - Epoch(train) [177][50/586] lr: 5.000000e-05 eta: 2:04:40 time: 0.413755 data_time: 0.037046 memory: 15677 loss_kpt: 0.015445 acc_pose: 0.771740 loss: 0.015445 2022/10/11 04:12:40 - mmengine - INFO - Epoch(train) [177][100/586] lr: 5.000000e-05 eta: 2:04:21 time: 0.397564 data_time: 0.027442 memory: 15677 loss_kpt: 0.016129 acc_pose: 0.788470 loss: 0.016129 2022/10/11 04:13:00 - mmengine - INFO - Epoch(train) [177][150/586] lr: 5.000000e-05 eta: 2:04:03 time: 0.400685 data_time: 0.024637 memory: 15677 loss_kpt: 0.015611 acc_pose: 0.783859 loss: 0.015611 2022/10/11 04:13:20 - mmengine - INFO - Epoch(train) [177][200/586] lr: 5.000000e-05 eta: 2:03:44 time: 0.400905 data_time: 0.023651 memory: 15677 loss_kpt: 0.016124 acc_pose: 0.716779 loss: 0.016124 2022/10/11 04:13:40 - mmengine - INFO - Epoch(train) [177][250/586] lr: 5.000000e-05 eta: 2:03:25 time: 0.401176 data_time: 0.022766 memory: 15677 loss_kpt: 0.015748 acc_pose: 0.645571 loss: 0.015748 2022/10/11 04:14:00 - mmengine - INFO - Epoch(train) [177][300/586] lr: 5.000000e-05 eta: 2:03:07 time: 0.398929 data_time: 0.031107 memory: 15677 loss_kpt: 0.015997 acc_pose: 0.658764 loss: 0.015997 2022/10/11 04:14:20 - mmengine - INFO - Epoch(train) [177][350/586] lr: 5.000000e-05 eta: 2:02:48 time: 0.398279 data_time: 0.024006 memory: 15677 loss_kpt: 0.015623 acc_pose: 0.657711 loss: 0.015623 2022/10/11 04:14:40 - mmengine - INFO - Epoch(train) [177][400/586] lr: 5.000000e-05 eta: 2:02:30 time: 0.401244 data_time: 0.023256 memory: 15677 loss_kpt: 0.015373 acc_pose: 0.686940 loss: 0.015373 2022/10/11 04:15:00 - mmengine - INFO - Epoch(train) [177][450/586] lr: 5.000000e-05 eta: 2:02:11 time: 0.405277 data_time: 0.025069 memory: 15677 loss_kpt: 0.015889 acc_pose: 0.693829 loss: 0.015889 2022/10/11 04:15:20 - mmengine - INFO - Epoch(train) [177][500/586] lr: 5.000000e-05 eta: 2:01:52 time: 0.399897 data_time: 0.025114 memory: 15677 loss_kpt: 0.015695 acc_pose: 0.793627 loss: 0.015695 2022/10/11 04:15:40 - mmengine - INFO - Epoch(train) [177][550/586] lr: 5.000000e-05 eta: 2:01:34 time: 0.398284 data_time: 0.030183 memory: 15677 loss_kpt: 0.015534 acc_pose: 0.769174 loss: 0.015534 2022/10/11 04:15:54 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:16:15 - mmengine - INFO - Epoch(train) [178][50/586] lr: 5.000000e-05 eta: 2:00:59 time: 0.411405 data_time: 0.032131 memory: 15677 loss_kpt: 0.015764 acc_pose: 0.826214 loss: 0.015764 2022/10/11 04:16:35 - mmengine - INFO - Epoch(train) [178][100/586] lr: 5.000000e-05 eta: 2:00:41 time: 0.400786 data_time: 0.023478 memory: 15677 loss_kpt: 0.015865 acc_pose: 0.694757 loss: 0.015865 2022/10/11 04:16:55 - mmengine - INFO - Epoch(train) [178][150/586] lr: 5.000000e-05 eta: 2:00:22 time: 0.394555 data_time: 0.023742 memory: 15677 loss_kpt: 0.015460 acc_pose: 0.769676 loss: 0.015460 2022/10/11 04:17:15 - mmengine - INFO - Epoch(train) [178][200/586] lr: 5.000000e-05 eta: 2:00:03 time: 0.401239 data_time: 0.023962 memory: 15677 loss_kpt: 0.015309 acc_pose: 0.680740 loss: 0.015309 2022/10/11 04:17:35 - mmengine - INFO - Epoch(train) [178][250/586] lr: 5.000000e-05 eta: 1:59:45 time: 0.402299 data_time: 0.023547 memory: 15677 loss_kpt: 0.015680 acc_pose: 0.742415 loss: 0.015680 2022/10/11 04:17:46 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:17:55 - mmengine - INFO - Epoch(train) [178][300/586] lr: 5.000000e-05 eta: 1:59:26 time: 0.402749 data_time: 0.024325 memory: 15677 loss_kpt: 0.015300 acc_pose: 0.757245 loss: 0.015300 2022/10/11 04:18:15 - mmengine - INFO - Epoch(train) [178][350/586] lr: 5.000000e-05 eta: 1:59:08 time: 0.396876 data_time: 0.023477 memory: 15677 loss_kpt: 0.015226 acc_pose: 0.714173 loss: 0.015226 2022/10/11 04:18:35 - mmengine - INFO - Epoch(train) [178][400/586] lr: 5.000000e-05 eta: 1:58:49 time: 0.396290 data_time: 0.026851 memory: 15677 loss_kpt: 0.015650 acc_pose: 0.684892 loss: 0.015650 2022/10/11 04:18:55 - mmengine - INFO - Epoch(train) [178][450/586] lr: 5.000000e-05 eta: 1:58:30 time: 0.398738 data_time: 0.023648 memory: 15677 loss_kpt: 0.015849 acc_pose: 0.750726 loss: 0.015849 2022/10/11 04:19:15 - mmengine - INFO - Epoch(train) [178][500/586] lr: 5.000000e-05 eta: 1:58:12 time: 0.398665 data_time: 0.023490 memory: 15677 loss_kpt: 0.015777 acc_pose: 0.723891 loss: 0.015777 2022/10/11 04:19:35 - mmengine - INFO - Epoch(train) [178][550/586] lr: 5.000000e-05 eta: 1:57:53 time: 0.403777 data_time: 0.023284 memory: 15677 loss_kpt: 0.015687 acc_pose: 0.759035 loss: 0.015687 2022/10/11 04:19:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:20:09 - mmengine - INFO - Epoch(train) [179][50/586] lr: 5.000000e-05 eta: 1:57:19 time: 0.407482 data_time: 0.036275 memory: 15677 loss_kpt: 0.015360 acc_pose: 0.673570 loss: 0.015360 2022/10/11 04:20:29 - mmengine - INFO - Epoch(train) [179][100/586] lr: 5.000000e-05 eta: 1:57:00 time: 0.397999 data_time: 0.022481 memory: 15677 loss_kpt: 0.015802 acc_pose: 0.676429 loss: 0.015802 2022/10/11 04:20:49 - mmengine - INFO - Epoch(train) [179][150/586] lr: 5.000000e-05 eta: 1:56:41 time: 0.403507 data_time: 0.025161 memory: 15677 loss_kpt: 0.015875 acc_pose: 0.772179 loss: 0.015875 2022/10/11 04:21:10 - mmengine - INFO - Epoch(train) [179][200/586] lr: 5.000000e-05 eta: 1:56:23 time: 0.404681 data_time: 0.023866 memory: 15677 loss_kpt: 0.015866 acc_pose: 0.695863 loss: 0.015866 2022/10/11 04:21:29 - mmengine - INFO - Epoch(train) [179][250/586] lr: 5.000000e-05 eta: 1:56:04 time: 0.392762 data_time: 0.025351 memory: 15677 loss_kpt: 0.015644 acc_pose: 0.777360 loss: 0.015644 2022/10/11 04:21:49 - mmengine - INFO - Epoch(train) [179][300/586] lr: 5.000000e-05 eta: 1:55:46 time: 0.399312 data_time: 0.023834 memory: 15677 loss_kpt: 0.015586 acc_pose: 0.713423 loss: 0.015586 2022/10/11 04:22:09 - mmengine - INFO - Epoch(train) [179][350/586] lr: 5.000000e-05 eta: 1:55:27 time: 0.400721 data_time: 0.025038 memory: 15677 loss_kpt: 0.016032 acc_pose: 0.729721 loss: 0.016032 2022/10/11 04:22:29 - mmengine - INFO - Epoch(train) [179][400/586] lr: 5.000000e-05 eta: 1:55:08 time: 0.399887 data_time: 0.025061 memory: 15677 loss_kpt: 0.015727 acc_pose: 0.734763 loss: 0.015727 2022/10/11 04:22:50 - mmengine - INFO - Epoch(train) [179][450/586] lr: 5.000000e-05 eta: 1:54:50 time: 0.403011 data_time: 0.027978 memory: 15677 loss_kpt: 0.015110 acc_pose: 0.779502 loss: 0.015110 2022/10/11 04:23:10 - mmengine - INFO - Epoch(train) [179][500/586] lr: 5.000000e-05 eta: 1:54:31 time: 0.399112 data_time: 0.029533 memory: 15677 loss_kpt: 0.015242 acc_pose: 0.709255 loss: 0.015242 2022/10/11 04:23:29 - mmengine - INFO - Epoch(train) [179][550/586] lr: 5.000000e-05 eta: 1:54:12 time: 0.398584 data_time: 0.025246 memory: 15677 loss_kpt: 0.015782 acc_pose: 0.755469 loss: 0.015782 2022/10/11 04:23:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:24:04 - mmengine - INFO - Epoch(train) [180][50/586] lr: 5.000000e-05 eta: 1:53:38 time: 0.409175 data_time: 0.032789 memory: 15677 loss_kpt: 0.015430 acc_pose: 0.765184 loss: 0.015430 2022/10/11 04:24:24 - mmengine - INFO - Epoch(train) [180][100/586] lr: 5.000000e-05 eta: 1:53:19 time: 0.395375 data_time: 0.025298 memory: 15677 loss_kpt: 0.015773 acc_pose: 0.724381 loss: 0.015773 2022/10/11 04:24:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:24:44 - mmengine - INFO - Epoch(train) [180][150/586] lr: 5.000000e-05 eta: 1:53:01 time: 0.400958 data_time: 0.029773 memory: 15677 loss_kpt: 0.016085 acc_pose: 0.764763 loss: 0.016085 2022/10/11 04:25:04 - mmengine - INFO - Epoch(train) [180][200/586] lr: 5.000000e-05 eta: 1:52:42 time: 0.401378 data_time: 0.026172 memory: 15677 loss_kpt: 0.015850 acc_pose: 0.697778 loss: 0.015850 2022/10/11 04:25:25 - mmengine - INFO - Epoch(train) [180][250/586] lr: 5.000000e-05 eta: 1:52:24 time: 0.404372 data_time: 0.027091 memory: 15677 loss_kpt: 0.015978 acc_pose: 0.634590 loss: 0.015978 2022/10/11 04:25:45 - mmengine - INFO - Epoch(train) [180][300/586] lr: 5.000000e-05 eta: 1:52:05 time: 0.400312 data_time: 0.024726 memory: 15677 loss_kpt: 0.016103 acc_pose: 0.735901 loss: 0.016103 2022/10/11 04:26:05 - mmengine - INFO - Epoch(train) [180][350/586] lr: 5.000000e-05 eta: 1:51:46 time: 0.396274 data_time: 0.025411 memory: 15677 loss_kpt: 0.015992 acc_pose: 0.763515 loss: 0.015992 2022/10/11 04:26:24 - mmengine - INFO - Epoch(train) [180][400/586] lr: 5.000000e-05 eta: 1:51:28 time: 0.396180 data_time: 0.024884 memory: 15677 loss_kpt: 0.015678 acc_pose: 0.764367 loss: 0.015678 2022/10/11 04:26:45 - mmengine - INFO - Epoch(train) [180][450/586] lr: 5.000000e-05 eta: 1:51:09 time: 0.408003 data_time: 0.024137 memory: 15677 loss_kpt: 0.015886 acc_pose: 0.742064 loss: 0.015886 2022/10/11 04:27:05 - mmengine - INFO - Epoch(train) [180][500/586] lr: 5.000000e-05 eta: 1:50:50 time: 0.395939 data_time: 0.024113 memory: 15677 loss_kpt: 0.015268 acc_pose: 0.796425 loss: 0.015268 2022/10/11 04:27:24 - mmengine - INFO - Epoch(train) [180][550/586] lr: 5.000000e-05 eta: 1:50:32 time: 0.396468 data_time: 0.023722 memory: 15677 loss_kpt: 0.015500 acc_pose: 0.655344 loss: 0.015500 2022/10/11 04:27:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:27:39 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/10/11 04:27:52 - mmengine - INFO - Epoch(val) [180][50/407] eta: 0:01:10 time: 0.196544 data_time: 0.013621 memory: 15677 2022/10/11 04:28:01 - mmengine - INFO - Epoch(val) [180][100/407] eta: 0:00:58 time: 0.189503 data_time: 0.008449 memory: 4213 2022/10/11 04:28:11 - mmengine - INFO - Epoch(val) [180][150/407] eta: 0:00:49 time: 0.193169 data_time: 0.008569 memory: 4213 2022/10/11 04:28:20 - mmengine - INFO - Epoch(val) [180][200/407] eta: 0:00:39 time: 0.191219 data_time: 0.008985 memory: 4213 2022/10/11 04:28:30 - mmengine - INFO - Epoch(val) [180][250/407] eta: 0:00:29 time: 0.190046 data_time: 0.008595 memory: 4213 2022/10/11 04:28:39 - mmengine - INFO - Epoch(val) [180][300/407] eta: 0:00:20 time: 0.190289 data_time: 0.008535 memory: 4213 2022/10/11 04:28:49 - mmengine - INFO - Epoch(val) [180][350/407] eta: 0:00:10 time: 0.191134 data_time: 0.008921 memory: 4213 2022/10/11 04:28:58 - mmengine - INFO - Epoch(val) [180][400/407] eta: 0:00:01 time: 0.189201 data_time: 0.008313 memory: 4213 2022/10/11 04:29:30 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 04:29:43 - mmengine - INFO - Epoch(val) [180][407/407] coco/AP: 0.649924 coco/AP .5: 0.863051 coco/AP .75: 0.728059 coco/AP (M): 0.619104 coco/AP (L): 0.713278 coco/AR: 0.708580 coco/AR .5: 0.906486 coco/AR .75: 0.780856 coco/AR (M): 0.666922 coco/AR (L): 0.768302 2022/10/11 04:29:43 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_170.pth is removed 2022/10/11 04:29:45 - mmengine - INFO - The best checkpoint with 0.6499 coco/AP at 180 epoch is saved to best_coco/AP_epoch_180.pth. 2022/10/11 04:30:05 - mmengine - INFO - Epoch(train) [181][50/586] lr: 5.000000e-05 eta: 1:49:57 time: 0.403027 data_time: 0.029317 memory: 15677 loss_kpt: 0.015770 acc_pose: 0.776678 loss: 0.015770 2022/10/11 04:30:25 - mmengine - INFO - Epoch(train) [181][100/586] lr: 5.000000e-05 eta: 1:49:39 time: 0.408437 data_time: 0.023409 memory: 15677 loss_kpt: 0.016153 acc_pose: 0.635671 loss: 0.016153 2022/10/11 04:30:45 - mmengine - INFO - Epoch(train) [181][150/586] lr: 5.000000e-05 eta: 1:49:20 time: 0.400576 data_time: 0.023062 memory: 15677 loss_kpt: 0.015747 acc_pose: 0.711895 loss: 0.015747 2022/10/11 04:31:05 - mmengine - INFO - Epoch(train) [181][200/586] lr: 5.000000e-05 eta: 1:49:02 time: 0.394925 data_time: 0.023522 memory: 15677 loss_kpt: 0.015598 acc_pose: 0.746555 loss: 0.015598 2022/10/11 04:31:25 - mmengine - INFO - Epoch(train) [181][250/586] lr: 5.000000e-05 eta: 1:48:43 time: 0.398202 data_time: 0.023859 memory: 15677 loss_kpt: 0.015746 acc_pose: 0.713410 loss: 0.015746 2022/10/11 04:31:46 - mmengine - INFO - Epoch(train) [181][300/586] lr: 5.000000e-05 eta: 1:48:24 time: 0.408049 data_time: 0.023495 memory: 15677 loss_kpt: 0.016059 acc_pose: 0.680383 loss: 0.016059 2022/10/11 04:32:06 - mmengine - INFO - Epoch(train) [181][350/586] lr: 5.000000e-05 eta: 1:48:06 time: 0.401003 data_time: 0.023619 memory: 15677 loss_kpt: 0.015513 acc_pose: 0.729272 loss: 0.015513 2022/10/11 04:32:25 - mmengine - INFO - Epoch(train) [181][400/586] lr: 5.000000e-05 eta: 1:47:47 time: 0.394163 data_time: 0.022957 memory: 15677 loss_kpt: 0.015287 acc_pose: 0.720838 loss: 0.015287 2022/10/11 04:32:45 - mmengine - INFO - Epoch(train) [181][450/586] lr: 5.000000e-05 eta: 1:47:28 time: 0.395225 data_time: 0.024617 memory: 15677 loss_kpt: 0.015540 acc_pose: 0.677312 loss: 0.015540 2022/10/11 04:33:06 - mmengine - INFO - Epoch(train) [181][500/586] lr: 5.000000e-05 eta: 1:47:10 time: 0.409285 data_time: 0.027213 memory: 15677 loss_kpt: 0.015767 acc_pose: 0.715303 loss: 0.015767 2022/10/11 04:33:14 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:33:26 - mmengine - INFO - Epoch(train) [181][550/586] lr: 5.000000e-05 eta: 1:46:51 time: 0.403072 data_time: 0.022998 memory: 15677 loss_kpt: 0.015778 acc_pose: 0.698733 loss: 0.015778 2022/10/11 04:33:40 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:34:01 - mmengine - INFO - Epoch(train) [182][50/586] lr: 5.000000e-05 eta: 1:46:17 time: 0.411305 data_time: 0.039804 memory: 15677 loss_kpt: 0.015698 acc_pose: 0.766627 loss: 0.015698 2022/10/11 04:34:21 - mmengine - INFO - Epoch(train) [182][100/586] lr: 5.000000e-05 eta: 1:45:58 time: 0.400215 data_time: 0.025274 memory: 15677 loss_kpt: 0.015584 acc_pose: 0.786412 loss: 0.015584 2022/10/11 04:34:41 - mmengine - INFO - Epoch(train) [182][150/586] lr: 5.000000e-05 eta: 1:45:40 time: 0.406870 data_time: 0.025820 memory: 15677 loss_kpt: 0.015757 acc_pose: 0.665031 loss: 0.015757 2022/10/11 04:35:01 - mmengine - INFO - Epoch(train) [182][200/586] lr: 5.000000e-05 eta: 1:45:21 time: 0.402670 data_time: 0.025316 memory: 15677 loss_kpt: 0.015580 acc_pose: 0.731026 loss: 0.015580 2022/10/11 04:35:21 - mmengine - INFO - Epoch(train) [182][250/586] lr: 5.000000e-05 eta: 1:45:02 time: 0.403381 data_time: 0.025928 memory: 15677 loss_kpt: 0.015523 acc_pose: 0.776372 loss: 0.015523 2022/10/11 04:35:41 - mmengine - INFO - Epoch(train) [182][300/586] lr: 5.000000e-05 eta: 1:44:44 time: 0.394639 data_time: 0.026071 memory: 15677 loss_kpt: 0.015256 acc_pose: 0.713049 loss: 0.015256 2022/10/11 04:36:01 - mmengine - INFO - Epoch(train) [182][350/586] lr: 5.000000e-05 eta: 1:44:25 time: 0.403322 data_time: 0.028785 memory: 15677 loss_kpt: 0.015949 acc_pose: 0.751406 loss: 0.015949 2022/10/11 04:36:22 - mmengine - INFO - Epoch(train) [182][400/586] lr: 5.000000e-05 eta: 1:44:07 time: 0.407290 data_time: 0.023576 memory: 15677 loss_kpt: 0.015619 acc_pose: 0.729312 loss: 0.015619 2022/10/11 04:36:42 - mmengine - INFO - Epoch(train) [182][450/586] lr: 5.000000e-05 eta: 1:43:48 time: 0.401299 data_time: 0.024482 memory: 15677 loss_kpt: 0.015623 acc_pose: 0.709060 loss: 0.015623 2022/10/11 04:37:02 - mmengine - INFO - Epoch(train) [182][500/586] lr: 5.000000e-05 eta: 1:43:29 time: 0.397352 data_time: 0.026105 memory: 15677 loss_kpt: 0.015551 acc_pose: 0.688522 loss: 0.015551 2022/10/11 04:37:22 - mmengine - INFO - Epoch(train) [182][550/586] lr: 5.000000e-05 eta: 1:43:11 time: 0.398106 data_time: 0.025493 memory: 15677 loss_kpt: 0.015627 acc_pose: 0.709058 loss: 0.015627 2022/10/11 04:37:36 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:37:57 - mmengine - INFO - Epoch(train) [183][50/586] lr: 5.000000e-05 eta: 1:42:36 time: 0.409661 data_time: 0.033393 memory: 15677 loss_kpt: 0.015703 acc_pose: 0.675677 loss: 0.015703 2022/10/11 04:38:17 - mmengine - INFO - Epoch(train) [183][100/586] lr: 5.000000e-05 eta: 1:42:18 time: 0.397039 data_time: 0.024967 memory: 15677 loss_kpt: 0.016172 acc_pose: 0.715329 loss: 0.016172 2022/10/11 04:38:36 - mmengine - INFO - Epoch(train) [183][150/586] lr: 5.000000e-05 eta: 1:41:59 time: 0.396931 data_time: 0.025115 memory: 15677 loss_kpt: 0.014957 acc_pose: 0.793322 loss: 0.014957 2022/10/11 04:38:56 - mmengine - INFO - Epoch(train) [183][200/586] lr: 5.000000e-05 eta: 1:41:40 time: 0.399578 data_time: 0.026762 memory: 15677 loss_kpt: 0.015647 acc_pose: 0.745855 loss: 0.015647 2022/10/11 04:39:17 - mmengine - INFO - Epoch(train) [183][250/586] lr: 5.000000e-05 eta: 1:41:22 time: 0.408034 data_time: 0.027415 memory: 15677 loss_kpt: 0.015740 acc_pose: 0.705944 loss: 0.015740 2022/10/11 04:39:37 - mmengine - INFO - Epoch(train) [183][300/586] lr: 5.000000e-05 eta: 1:41:03 time: 0.399147 data_time: 0.024785 memory: 15677 loss_kpt: 0.015453 acc_pose: 0.781673 loss: 0.015453 2022/10/11 04:39:56 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:39:57 - mmengine - INFO - Epoch(train) [183][350/586] lr: 5.000000e-05 eta: 1:40:45 time: 0.399766 data_time: 0.024066 memory: 15677 loss_kpt: 0.015245 acc_pose: 0.793203 loss: 0.015245 2022/10/11 04:40:17 - mmengine - INFO - Epoch(train) [183][400/586] lr: 5.000000e-05 eta: 1:40:26 time: 0.395296 data_time: 0.024205 memory: 15677 loss_kpt: 0.015655 acc_pose: 0.720075 loss: 0.015655 2022/10/11 04:40:37 - mmengine - INFO - Epoch(train) [183][450/586] lr: 5.000000e-05 eta: 1:40:07 time: 0.400978 data_time: 0.023500 memory: 15677 loss_kpt: 0.015760 acc_pose: 0.747388 loss: 0.015760 2022/10/11 04:40:57 - mmengine - INFO - Epoch(train) [183][500/586] lr: 5.000000e-05 eta: 1:39:49 time: 0.405135 data_time: 0.024867 memory: 15677 loss_kpt: 0.015704 acc_pose: 0.752896 loss: 0.015704 2022/10/11 04:41:17 - mmengine - INFO - Epoch(train) [183][550/586] lr: 5.000000e-05 eta: 1:39:30 time: 0.402112 data_time: 0.025165 memory: 15677 loss_kpt: 0.015632 acc_pose: 0.671120 loss: 0.015632 2022/10/11 04:41:31 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:41:51 - mmengine - INFO - Epoch(train) [184][50/586] lr: 5.000000e-05 eta: 1:38:56 time: 0.404557 data_time: 0.034284 memory: 15677 loss_kpt: 0.015126 acc_pose: 0.727043 loss: 0.015126 2022/10/11 04:42:12 - mmengine - INFO - Epoch(train) [184][100/586] lr: 5.000000e-05 eta: 1:38:37 time: 0.405144 data_time: 0.025259 memory: 15677 loss_kpt: 0.015932 acc_pose: 0.685444 loss: 0.015932 2022/10/11 04:42:32 - mmengine - INFO - Epoch(train) [184][150/586] lr: 5.000000e-05 eta: 1:38:19 time: 0.403879 data_time: 0.023874 memory: 15677 loss_kpt: 0.015627 acc_pose: 0.715499 loss: 0.015627 2022/10/11 04:42:52 - mmengine - INFO - Epoch(train) [184][200/586] lr: 5.000000e-05 eta: 1:38:00 time: 0.398065 data_time: 0.027138 memory: 15677 loss_kpt: 0.015637 acc_pose: 0.719211 loss: 0.015637 2022/10/11 04:43:12 - mmengine - INFO - Epoch(train) [184][250/586] lr: 5.000000e-05 eta: 1:37:41 time: 0.404558 data_time: 0.026143 memory: 15677 loss_kpt: 0.015647 acc_pose: 0.682905 loss: 0.015647 2022/10/11 04:43:32 - mmengine - INFO - Epoch(train) [184][300/586] lr: 5.000000e-05 eta: 1:37:23 time: 0.396178 data_time: 0.023341 memory: 15677 loss_kpt: 0.015557 acc_pose: 0.709735 loss: 0.015557 2022/10/11 04:43:52 - mmengine - INFO - Epoch(train) [184][350/586] lr: 5.000000e-05 eta: 1:37:04 time: 0.408975 data_time: 0.027336 memory: 15677 loss_kpt: 0.015541 acc_pose: 0.712601 loss: 0.015541 2022/10/11 04:44:13 - mmengine - INFO - Epoch(train) [184][400/586] lr: 5.000000e-05 eta: 1:36:45 time: 0.403797 data_time: 0.024220 memory: 15677 loss_kpt: 0.015565 acc_pose: 0.712325 loss: 0.015565 2022/10/11 04:44:33 - mmengine - INFO - Epoch(train) [184][450/586] lr: 5.000000e-05 eta: 1:36:27 time: 0.401078 data_time: 0.027176 memory: 15677 loss_kpt: 0.015763 acc_pose: 0.758813 loss: 0.015763 2022/10/11 04:44:52 - mmengine - INFO - Epoch(train) [184][500/586] lr: 5.000000e-05 eta: 1:36:08 time: 0.394239 data_time: 0.025137 memory: 15677 loss_kpt: 0.015749 acc_pose: 0.702444 loss: 0.015749 2022/10/11 04:45:13 - mmengine - INFO - Epoch(train) [184][550/586] lr: 5.000000e-05 eta: 1:35:49 time: 0.404975 data_time: 0.027894 memory: 15677 loss_kpt: 0.015897 acc_pose: 0.678740 loss: 0.015897 2022/10/11 04:45:27 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:45:47 - mmengine - INFO - Epoch(train) [185][50/586] lr: 5.000000e-05 eta: 1:35:15 time: 0.403657 data_time: 0.033502 memory: 15677 loss_kpt: 0.015775 acc_pose: 0.713744 loss: 0.015775 2022/10/11 04:46:07 - mmengine - INFO - Epoch(train) [185][100/586] lr: 5.000000e-05 eta: 1:34:57 time: 0.400280 data_time: 0.024375 memory: 15677 loss_kpt: 0.015567 acc_pose: 0.608215 loss: 0.015567 2022/10/11 04:46:27 - mmengine - INFO - Epoch(train) [185][150/586] lr: 5.000000e-05 eta: 1:34:38 time: 0.394278 data_time: 0.024548 memory: 15677 loss_kpt: 0.015904 acc_pose: 0.678544 loss: 0.015904 2022/10/11 04:46:37 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:46:47 - mmengine - INFO - Epoch(train) [185][200/586] lr: 5.000000e-05 eta: 1:34:19 time: 0.404232 data_time: 0.029257 memory: 15677 loss_kpt: 0.015941 acc_pose: 0.767581 loss: 0.015941 2022/10/11 04:47:07 - mmengine - INFO - Epoch(train) [185][250/586] lr: 5.000000e-05 eta: 1:34:01 time: 0.400948 data_time: 0.024961 memory: 15677 loss_kpt: 0.015633 acc_pose: 0.775072 loss: 0.015633 2022/10/11 04:47:27 - mmengine - INFO - Epoch(train) [185][300/586] lr: 5.000000e-05 eta: 1:33:42 time: 0.399494 data_time: 0.025904 memory: 15677 loss_kpt: 0.015416 acc_pose: 0.761551 loss: 0.015416 2022/10/11 04:47:47 - mmengine - INFO - Epoch(train) [185][350/586] lr: 5.000000e-05 eta: 1:33:23 time: 0.393517 data_time: 0.024238 memory: 15677 loss_kpt: 0.015736 acc_pose: 0.737263 loss: 0.015736 2022/10/11 04:48:07 - mmengine - INFO - Epoch(train) [185][400/586] lr: 5.000000e-05 eta: 1:33:05 time: 0.402851 data_time: 0.028768 memory: 15677 loss_kpt: 0.015852 acc_pose: 0.703101 loss: 0.015852 2022/10/11 04:48:27 - mmengine - INFO - Epoch(train) [185][450/586] lr: 5.000000e-05 eta: 1:32:46 time: 0.407408 data_time: 0.026806 memory: 15677 loss_kpt: 0.015603 acc_pose: 0.675192 loss: 0.015603 2022/10/11 04:48:47 - mmengine - INFO - Epoch(train) [185][500/586] lr: 5.000000e-05 eta: 1:32:27 time: 0.394818 data_time: 0.023455 memory: 15677 loss_kpt: 0.015773 acc_pose: 0.733234 loss: 0.015773 2022/10/11 04:49:07 - mmengine - INFO - Epoch(train) [185][550/586] lr: 5.000000e-05 eta: 1:32:09 time: 0.401782 data_time: 0.023845 memory: 15677 loss_kpt: 0.015308 acc_pose: 0.698992 loss: 0.015308 2022/10/11 04:49:21 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:49:42 - mmengine - INFO - Epoch(train) [186][50/586] lr: 5.000000e-05 eta: 1:31:35 time: 0.417124 data_time: 0.034948 memory: 15677 loss_kpt: 0.015690 acc_pose: 0.731458 loss: 0.015690 2022/10/11 04:50:02 - mmengine - INFO - Epoch(train) [186][100/586] lr: 5.000000e-05 eta: 1:31:16 time: 0.402659 data_time: 0.025259 memory: 15677 loss_kpt: 0.015638 acc_pose: 0.691201 loss: 0.015638 2022/10/11 04:50:22 - mmengine - INFO - Epoch(train) [186][150/586] lr: 5.000000e-05 eta: 1:30:58 time: 0.396927 data_time: 0.024224 memory: 15677 loss_kpt: 0.015443 acc_pose: 0.723108 loss: 0.015443 2022/10/11 04:50:42 - mmengine - INFO - Epoch(train) [186][200/586] lr: 5.000000e-05 eta: 1:30:39 time: 0.397123 data_time: 0.025619 memory: 15677 loss_kpt: 0.015598 acc_pose: 0.718681 loss: 0.015598 2022/10/11 04:51:02 - mmengine - INFO - Epoch(train) [186][250/586] lr: 5.000000e-05 eta: 1:30:20 time: 0.398442 data_time: 0.024142 memory: 15677 loss_kpt: 0.015831 acc_pose: 0.638076 loss: 0.015831 2022/10/11 04:51:23 - mmengine - INFO - Epoch(train) [186][300/586] lr: 5.000000e-05 eta: 1:30:02 time: 0.412318 data_time: 0.024610 memory: 15677 loss_kpt: 0.015959 acc_pose: 0.720948 loss: 0.015959 2022/10/11 04:51:43 - mmengine - INFO - Epoch(train) [186][350/586] lr: 5.000000e-05 eta: 1:29:43 time: 0.399365 data_time: 0.024031 memory: 15677 loss_kpt: 0.015343 acc_pose: 0.736341 loss: 0.015343 2022/10/11 04:52:03 - mmengine - INFO - Epoch(train) [186][400/586] lr: 5.000000e-05 eta: 1:29:24 time: 0.403189 data_time: 0.024756 memory: 15677 loss_kpt: 0.015343 acc_pose: 0.737740 loss: 0.015343 2022/10/11 04:52:23 - mmengine - INFO - Epoch(train) [186][450/586] lr: 5.000000e-05 eta: 1:29:06 time: 0.399305 data_time: 0.024317 memory: 15677 loss_kpt: 0.015847 acc_pose: 0.692586 loss: 0.015847 2022/10/11 04:52:43 - mmengine - INFO - Epoch(train) [186][500/586] lr: 5.000000e-05 eta: 1:28:47 time: 0.399878 data_time: 0.025174 memory: 15677 loss_kpt: 0.015788 acc_pose: 0.782450 loss: 0.015788 2022/10/11 04:53:03 - mmengine - INFO - Epoch(train) [186][550/586] lr: 5.000000e-05 eta: 1:28:28 time: 0.407294 data_time: 0.027499 memory: 15677 loss_kpt: 0.015877 acc_pose: 0.706966 loss: 0.015877 2022/10/11 04:53:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:53:19 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:53:38 - mmengine - INFO - Epoch(train) [187][50/586] lr: 5.000000e-05 eta: 1:27:54 time: 0.407391 data_time: 0.032407 memory: 15677 loss_kpt: 0.015788 acc_pose: 0.642139 loss: 0.015788 2022/10/11 04:53:57 - mmengine - INFO - Epoch(train) [187][100/586] lr: 5.000000e-05 eta: 1:27:36 time: 0.394587 data_time: 0.026912 memory: 15677 loss_kpt: 0.015924 acc_pose: 0.687650 loss: 0.015924 2022/10/11 04:54:18 - mmengine - INFO - Epoch(train) [187][150/586] lr: 5.000000e-05 eta: 1:27:17 time: 0.405672 data_time: 0.030104 memory: 15677 loss_kpt: 0.015020 acc_pose: 0.731844 loss: 0.015020 2022/10/11 04:54:38 - mmengine - INFO - Epoch(train) [187][200/586] lr: 5.000000e-05 eta: 1:26:58 time: 0.403315 data_time: 0.024970 memory: 15677 loss_kpt: 0.015649 acc_pose: 0.733834 loss: 0.015649 2022/10/11 04:54:58 - mmengine - INFO - Epoch(train) [187][250/586] lr: 5.000000e-05 eta: 1:26:40 time: 0.393997 data_time: 0.025034 memory: 15677 loss_kpt: 0.015645 acc_pose: 0.783637 loss: 0.015645 2022/10/11 04:55:18 - mmengine - INFO - Epoch(train) [187][300/586] lr: 5.000000e-05 eta: 1:26:21 time: 0.398896 data_time: 0.025836 memory: 15677 loss_kpt: 0.015779 acc_pose: 0.771354 loss: 0.015779 2022/10/11 04:55:38 - mmengine - INFO - Epoch(train) [187][350/586] lr: 5.000000e-05 eta: 1:26:02 time: 0.400333 data_time: 0.024040 memory: 15677 loss_kpt: 0.015856 acc_pose: 0.705954 loss: 0.015856 2022/10/11 04:55:58 - mmengine - INFO - Epoch(train) [187][400/586] lr: 5.000000e-05 eta: 1:25:44 time: 0.403575 data_time: 0.026058 memory: 15677 loss_kpt: 0.015848 acc_pose: 0.629944 loss: 0.015848 2022/10/11 04:56:18 - mmengine - INFO - Epoch(train) [187][450/586] lr: 5.000000e-05 eta: 1:25:25 time: 0.400678 data_time: 0.024352 memory: 15677 loss_kpt: 0.015972 acc_pose: 0.745602 loss: 0.015972 2022/10/11 04:56:38 - mmengine - INFO - Epoch(train) [187][500/586] lr: 5.000000e-05 eta: 1:25:06 time: 0.400146 data_time: 0.026284 memory: 15677 loss_kpt: 0.016091 acc_pose: 0.722231 loss: 0.016091 2022/10/11 04:56:58 - mmengine - INFO - Epoch(train) [187][550/586] lr: 5.000000e-05 eta: 1:24:48 time: 0.396748 data_time: 0.025389 memory: 15677 loss_kpt: 0.015466 acc_pose: 0.814935 loss: 0.015466 2022/10/11 04:57:12 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 04:57:33 - mmengine - INFO - Epoch(train) [188][50/586] lr: 5.000000e-05 eta: 1:24:14 time: 0.432698 data_time: 0.050175 memory: 15677 loss_kpt: 0.015654 acc_pose: 0.739531 loss: 0.015654 2022/10/11 04:57:54 - mmengine - INFO - Epoch(train) [188][100/586] lr: 5.000000e-05 eta: 1:23:55 time: 0.406869 data_time: 0.026643 memory: 15677 loss_kpt: 0.015385 acc_pose: 0.744391 loss: 0.015385 2022/10/11 04:58:14 - mmengine - INFO - Epoch(train) [188][150/586] lr: 5.000000e-05 eta: 1:23:37 time: 0.397173 data_time: 0.031580 memory: 15677 loss_kpt: 0.015490 acc_pose: 0.694908 loss: 0.015490 2022/10/11 04:58:34 - mmengine - INFO - Epoch(train) [188][200/586] lr: 5.000000e-05 eta: 1:23:18 time: 0.399966 data_time: 0.027806 memory: 15677 loss_kpt: 0.015778 acc_pose: 0.658378 loss: 0.015778 2022/10/11 04:58:54 - mmengine - INFO - Epoch(train) [188][250/586] lr: 5.000000e-05 eta: 1:22:59 time: 0.405756 data_time: 0.027198 memory: 15677 loss_kpt: 0.015599 acc_pose: 0.725872 loss: 0.015599 2022/10/11 04:59:14 - mmengine - INFO - Epoch(train) [188][300/586] lr: 5.000000e-05 eta: 1:22:41 time: 0.399613 data_time: 0.023339 memory: 15677 loss_kpt: 0.015760 acc_pose: 0.701049 loss: 0.015760 2022/10/11 04:59:34 - mmengine - INFO - Epoch(train) [188][350/586] lr: 5.000000e-05 eta: 1:22:22 time: 0.398601 data_time: 0.023499 memory: 15677 loss_kpt: 0.015883 acc_pose: 0.737619 loss: 0.015883 2022/10/11 04:59:54 - mmengine - INFO - Epoch(train) [188][400/586] lr: 5.000000e-05 eta: 1:22:03 time: 0.399083 data_time: 0.024708 memory: 15677 loss_kpt: 0.016158 acc_pose: 0.735399 loss: 0.016158 2022/10/11 05:00:01 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:00:14 - mmengine - INFO - Epoch(train) [188][450/586] lr: 5.000000e-05 eta: 1:21:44 time: 0.394644 data_time: 0.023574 memory: 15677 loss_kpt: 0.015037 acc_pose: 0.719710 loss: 0.015037 2022/10/11 05:00:34 - mmengine - INFO - Epoch(train) [188][500/586] lr: 5.000000e-05 eta: 1:21:26 time: 0.408236 data_time: 0.027746 memory: 15677 loss_kpt: 0.016125 acc_pose: 0.689122 loss: 0.016125 2022/10/11 05:00:54 - mmengine - INFO - Epoch(train) [188][550/586] lr: 5.000000e-05 eta: 1:21:07 time: 0.399860 data_time: 0.023561 memory: 15677 loss_kpt: 0.015990 acc_pose: 0.692071 loss: 0.015990 2022/10/11 05:01:08 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:01:28 - mmengine - INFO - Epoch(train) [189][50/586] lr: 5.000000e-05 eta: 1:20:33 time: 0.409057 data_time: 0.033641 memory: 15677 loss_kpt: 0.015750 acc_pose: 0.745556 loss: 0.015750 2022/10/11 05:01:48 - mmengine - INFO - Epoch(train) [189][100/586] lr: 5.000000e-05 eta: 1:20:15 time: 0.395502 data_time: 0.025089 memory: 15677 loss_kpt: 0.015435 acc_pose: 0.675641 loss: 0.015435 2022/10/11 05:02:09 - mmengine - INFO - Epoch(train) [189][150/586] lr: 5.000000e-05 eta: 1:19:56 time: 0.405413 data_time: 0.033598 memory: 15677 loss_kpt: 0.015484 acc_pose: 0.630825 loss: 0.015484 2022/10/11 05:02:29 - mmengine - INFO - Epoch(train) [189][200/586] lr: 5.000000e-05 eta: 1:19:37 time: 0.404111 data_time: 0.023696 memory: 15677 loss_kpt: 0.016122 acc_pose: 0.658153 loss: 0.016122 2022/10/11 05:02:49 - mmengine - INFO - Epoch(train) [189][250/586] lr: 5.000000e-05 eta: 1:19:19 time: 0.398532 data_time: 0.026460 memory: 15677 loss_kpt: 0.015299 acc_pose: 0.789240 loss: 0.015299 2022/10/11 05:03:08 - mmengine - INFO - Epoch(train) [189][300/586] lr: 5.000000e-05 eta: 1:19:00 time: 0.394250 data_time: 0.023878 memory: 15677 loss_kpt: 0.015726 acc_pose: 0.752692 loss: 0.015726 2022/10/11 05:03:29 - mmengine - INFO - Epoch(train) [189][350/586] lr: 5.000000e-05 eta: 1:18:41 time: 0.405841 data_time: 0.027576 memory: 15677 loss_kpt: 0.015621 acc_pose: 0.777966 loss: 0.015621 2022/10/11 05:03:49 - mmengine - INFO - Epoch(train) [189][400/586] lr: 5.000000e-05 eta: 1:18:23 time: 0.404387 data_time: 0.025819 memory: 15677 loss_kpt: 0.015565 acc_pose: 0.734521 loss: 0.015565 2022/10/11 05:04:09 - mmengine - INFO - Epoch(train) [189][450/586] lr: 5.000000e-05 eta: 1:18:04 time: 0.396021 data_time: 0.024801 memory: 15677 loss_kpt: 0.015526 acc_pose: 0.769041 loss: 0.015526 2022/10/11 05:04:29 - mmengine - INFO - Epoch(train) [189][500/586] lr: 5.000000e-05 eta: 1:17:45 time: 0.400463 data_time: 0.024235 memory: 15677 loss_kpt: 0.015696 acc_pose: 0.641651 loss: 0.015696 2022/10/11 05:04:49 - mmengine - INFO - Epoch(train) [189][550/586] lr: 5.000000e-05 eta: 1:17:27 time: 0.400510 data_time: 0.031041 memory: 15677 loss_kpt: 0.015842 acc_pose: 0.720659 loss: 0.015842 2022/10/11 05:05:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:05:24 - mmengine - INFO - Epoch(train) [190][50/586] lr: 5.000000e-05 eta: 1:16:53 time: 0.419540 data_time: 0.039227 memory: 15677 loss_kpt: 0.015318 acc_pose: 0.758952 loss: 0.015318 2022/10/11 05:05:44 - mmengine - INFO - Epoch(train) [190][100/586] lr: 5.000000e-05 eta: 1:16:34 time: 0.393545 data_time: 0.025997 memory: 15677 loss_kpt: 0.015546 acc_pose: 0.638063 loss: 0.015546 2022/10/11 05:06:04 - mmengine - INFO - Epoch(train) [190][150/586] lr: 5.000000e-05 eta: 1:16:15 time: 0.401371 data_time: 0.028740 memory: 15677 loss_kpt: 0.015317 acc_pose: 0.750814 loss: 0.015317 2022/10/11 05:06:24 - mmengine - INFO - Epoch(train) [190][200/586] lr: 5.000000e-05 eta: 1:15:57 time: 0.400131 data_time: 0.028220 memory: 15677 loss_kpt: 0.015828 acc_pose: 0.663140 loss: 0.015828 2022/10/11 05:06:42 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:06:44 - mmengine - INFO - Epoch(train) [190][250/586] lr: 5.000000e-05 eta: 1:15:38 time: 0.405620 data_time: 0.024652 memory: 15677 loss_kpt: 0.015507 acc_pose: 0.684225 loss: 0.015507 2022/10/11 05:07:04 - mmengine - INFO - Epoch(train) [190][300/586] lr: 5.000000e-05 eta: 1:15:19 time: 0.399616 data_time: 0.026981 memory: 15677 loss_kpt: 0.015651 acc_pose: 0.640294 loss: 0.015651 2022/10/11 05:07:24 - mmengine - INFO - Epoch(train) [190][350/586] lr: 5.000000e-05 eta: 1:15:01 time: 0.397852 data_time: 0.024608 memory: 15677 loss_kpt: 0.015774 acc_pose: 0.768289 loss: 0.015774 2022/10/11 05:07:44 - mmengine - INFO - Epoch(train) [190][400/586] lr: 5.000000e-05 eta: 1:14:42 time: 0.397744 data_time: 0.024633 memory: 15677 loss_kpt: 0.015812 acc_pose: 0.771305 loss: 0.015812 2022/10/11 05:08:04 - mmengine - INFO - Epoch(train) [190][450/586] lr: 5.000000e-05 eta: 1:14:23 time: 0.408068 data_time: 0.025455 memory: 15677 loss_kpt: 0.015515 acc_pose: 0.694055 loss: 0.015515 2022/10/11 05:08:24 - mmengine - INFO - Epoch(train) [190][500/586] lr: 5.000000e-05 eta: 1:14:05 time: 0.404090 data_time: 0.025072 memory: 15677 loss_kpt: 0.015418 acc_pose: 0.754993 loss: 0.015418 2022/10/11 05:08:44 - mmengine - INFO - Epoch(train) [190][550/586] lr: 5.000000e-05 eta: 1:13:46 time: 0.392909 data_time: 0.024427 memory: 15677 loss_kpt: 0.015718 acc_pose: 0.726334 loss: 0.015718 2022/10/11 05:08:58 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:08:58 - mmengine - INFO - Saving checkpoint at 190 epochs 2022/10/11 05:09:11 - mmengine - INFO - Epoch(val) [190][50/407] eta: 0:01:10 time: 0.196302 data_time: 0.014538 memory: 15677 2022/10/11 05:09:21 - mmengine - INFO - Epoch(val) [190][100/407] eta: 0:00:58 time: 0.190678 data_time: 0.009508 memory: 4213 2022/10/11 05:09:30 - mmengine - INFO - Epoch(val) [190][150/407] eta: 0:00:48 time: 0.190367 data_time: 0.009529 memory: 4213 2022/10/11 05:09:40 - mmengine - INFO - Epoch(val) [190][200/407] eta: 0:00:39 time: 0.189803 data_time: 0.009302 memory: 4213 2022/10/11 05:09:49 - mmengine - INFO - Epoch(val) [190][250/407] eta: 0:00:29 time: 0.190314 data_time: 0.009079 memory: 4213 2022/10/11 05:09:59 - mmengine - INFO - Epoch(val) [190][300/407] eta: 0:00:21 time: 0.197187 data_time: 0.010877 memory: 4213 2022/10/11 05:10:09 - mmengine - INFO - Epoch(val) [190][350/407] eta: 0:00:10 time: 0.191105 data_time: 0.009522 memory: 4213 2022/10/11 05:10:18 - mmengine - INFO - Epoch(val) [190][400/407] eta: 0:00:01 time: 0.190176 data_time: 0.009032 memory: 4213 2022/10/11 05:10:50 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 05:11:03 - mmengine - INFO - Epoch(val) [190][407/407] coco/AP: 0.650683 coco/AP .5: 0.863470 coco/AP .75: 0.729372 coco/AP (M): 0.619984 coco/AP (L): 0.714754 coco/AR: 0.708958 coco/AR .5: 0.906801 coco/AR .75: 0.780542 coco/AR (M): 0.668260 coco/AR (L): 0.767744 2022/10/11 05:11:03 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_180.pth is removed 2022/10/11 05:11:05 - mmengine - INFO - The best checkpoint with 0.6507 coco/AP at 190 epoch is saved to best_coco/AP_epoch_190.pth. 2022/10/11 05:11:25 - mmengine - INFO - Epoch(train) [191][50/586] lr: 5.000000e-05 eta: 1:13:12 time: 0.403272 data_time: 0.031379 memory: 15677 loss_kpt: 0.015381 acc_pose: 0.721147 loss: 0.015381 2022/10/11 05:11:45 - mmengine - INFO - Epoch(train) [191][100/586] lr: 5.000000e-05 eta: 1:12:54 time: 0.398823 data_time: 0.024642 memory: 15677 loss_kpt: 0.015900 acc_pose: 0.770595 loss: 0.015900 2022/10/11 05:12:05 - mmengine - INFO - Epoch(train) [191][150/586] lr: 5.000000e-05 eta: 1:12:35 time: 0.400189 data_time: 0.024697 memory: 15677 loss_kpt: 0.015701 acc_pose: 0.705261 loss: 0.015701 2022/10/11 05:12:25 - mmengine - INFO - Epoch(train) [191][200/586] lr: 5.000000e-05 eta: 1:12:16 time: 0.397920 data_time: 0.024785 memory: 15677 loss_kpt: 0.015946 acc_pose: 0.720743 loss: 0.015946 2022/10/11 05:12:45 - mmengine - INFO - Epoch(train) [191][250/586] lr: 5.000000e-05 eta: 1:11:57 time: 0.405943 data_time: 0.031521 memory: 15677 loss_kpt: 0.015312 acc_pose: 0.687476 loss: 0.015312 2022/10/11 05:13:05 - mmengine - INFO - Epoch(train) [191][300/586] lr: 5.000000e-05 eta: 1:11:39 time: 0.395635 data_time: 0.026508 memory: 15677 loss_kpt: 0.015596 acc_pose: 0.698355 loss: 0.015596 2022/10/11 05:13:25 - mmengine - INFO - Epoch(train) [191][350/586] lr: 5.000000e-05 eta: 1:11:20 time: 0.400472 data_time: 0.023038 memory: 15677 loss_kpt: 0.015988 acc_pose: 0.711464 loss: 0.015988 2022/10/11 05:13:45 - mmengine - INFO - Epoch(train) [191][400/586] lr: 5.000000e-05 eta: 1:11:01 time: 0.399636 data_time: 0.023220 memory: 15677 loss_kpt: 0.015841 acc_pose: 0.597987 loss: 0.015841 2022/10/11 05:14:05 - mmengine - INFO - Epoch(train) [191][450/586] lr: 5.000000e-05 eta: 1:10:43 time: 0.400961 data_time: 0.023972 memory: 15677 loss_kpt: 0.015603 acc_pose: 0.790123 loss: 0.015603 2022/10/11 05:14:25 - mmengine - INFO - Epoch(train) [191][500/586] lr: 5.000000e-05 eta: 1:10:24 time: 0.400710 data_time: 0.025565 memory: 15677 loss_kpt: 0.015624 acc_pose: 0.753972 loss: 0.015624 2022/10/11 05:14:45 - mmengine - INFO - Epoch(train) [191][550/586] lr: 5.000000e-05 eta: 1:10:05 time: 0.397931 data_time: 0.024813 memory: 15677 loss_kpt: 0.015890 acc_pose: 0.702243 loss: 0.015890 2022/10/11 05:14:59 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:15:19 - mmengine - INFO - Epoch(train) [192][50/586] lr: 5.000000e-05 eta: 1:09:32 time: 0.403631 data_time: 0.033652 memory: 15677 loss_kpt: 0.015651 acc_pose: 0.694059 loss: 0.015651 2022/10/11 05:15:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:15:40 - mmengine - INFO - Epoch(train) [192][100/586] lr: 5.000000e-05 eta: 1:09:13 time: 0.404430 data_time: 0.025250 memory: 15677 loss_kpt: 0.015778 acc_pose: 0.706125 loss: 0.015778 2022/10/11 05:15:59 - mmengine - INFO - Epoch(train) [192][150/586] lr: 5.000000e-05 eta: 1:08:54 time: 0.394397 data_time: 0.025509 memory: 15677 loss_kpt: 0.015158 acc_pose: 0.728035 loss: 0.015158 2022/10/11 05:16:19 - mmengine - INFO - Epoch(train) [192][200/586] lr: 5.000000e-05 eta: 1:08:36 time: 0.399999 data_time: 0.026095 memory: 15677 loss_kpt: 0.015753 acc_pose: 0.673920 loss: 0.015753 2022/10/11 05:16:40 - mmengine - INFO - Epoch(train) [192][250/586] lr: 5.000000e-05 eta: 1:08:17 time: 0.401275 data_time: 0.025673 memory: 15677 loss_kpt: 0.015550 acc_pose: 0.723397 loss: 0.015550 2022/10/11 05:16:59 - mmengine - INFO - Epoch(train) [192][300/586] lr: 5.000000e-05 eta: 1:07:58 time: 0.396645 data_time: 0.024400 memory: 15677 loss_kpt: 0.015369 acc_pose: 0.689373 loss: 0.015369 2022/10/11 05:17:20 - mmengine - INFO - Epoch(train) [192][350/586] lr: 5.000000e-05 eta: 1:07:39 time: 0.403170 data_time: 0.027546 memory: 15677 loss_kpt: 0.015428 acc_pose: 0.751086 loss: 0.015428 2022/10/11 05:17:39 - mmengine - INFO - Epoch(train) [192][400/586] lr: 5.000000e-05 eta: 1:07:21 time: 0.393896 data_time: 0.024280 memory: 15677 loss_kpt: 0.015653 acc_pose: 0.714833 loss: 0.015653 2022/10/11 05:18:00 - mmengine - INFO - Epoch(train) [192][450/586] lr: 5.000000e-05 eta: 1:07:02 time: 0.405819 data_time: 0.028181 memory: 15677 loss_kpt: 0.015759 acc_pose: 0.758616 loss: 0.015759 2022/10/11 05:18:19 - mmengine - INFO - Epoch(train) [192][500/586] lr: 5.000000e-05 eta: 1:06:43 time: 0.395296 data_time: 0.027604 memory: 15677 loss_kpt: 0.015973 acc_pose: 0.634000 loss: 0.015973 2022/10/11 05:18:40 - mmengine - INFO - Epoch(train) [192][550/586] lr: 5.000000e-05 eta: 1:06:25 time: 0.407658 data_time: 0.024687 memory: 15677 loss_kpt: 0.015567 acc_pose: 0.693136 loss: 0.015567 2022/10/11 05:18:54 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:19:14 - mmengine - INFO - Epoch(train) [193][50/586] lr: 5.000000e-05 eta: 1:05:51 time: 0.407900 data_time: 0.035574 memory: 15677 loss_kpt: 0.015494 acc_pose: 0.679558 loss: 0.015494 2022/10/11 05:19:34 - mmengine - INFO - Epoch(train) [193][100/586] lr: 5.000000e-05 eta: 1:05:32 time: 0.402239 data_time: 0.024893 memory: 15677 loss_kpt: 0.015672 acc_pose: 0.775022 loss: 0.015672 2022/10/11 05:19:54 - mmengine - INFO - Epoch(train) [193][150/586] lr: 5.000000e-05 eta: 1:05:14 time: 0.399834 data_time: 0.025630 memory: 15677 loss_kpt: 0.015447 acc_pose: 0.733258 loss: 0.015447 2022/10/11 05:20:14 - mmengine - INFO - Epoch(train) [193][200/586] lr: 5.000000e-05 eta: 1:04:55 time: 0.400184 data_time: 0.029184 memory: 15677 loss_kpt: 0.015238 acc_pose: 0.650073 loss: 0.015238 2022/10/11 05:20:34 - mmengine - INFO - Epoch(train) [193][250/586] lr: 5.000000e-05 eta: 1:04:36 time: 0.399016 data_time: 0.024120 memory: 15677 loss_kpt: 0.015520 acc_pose: 0.752934 loss: 0.015520 2022/10/11 05:20:54 - mmengine - INFO - Epoch(train) [193][300/586] lr: 5.000000e-05 eta: 1:04:17 time: 0.399646 data_time: 0.025994 memory: 15677 loss_kpt: 0.015976 acc_pose: 0.675628 loss: 0.015976 2022/10/11 05:21:14 - mmengine - INFO - Epoch(train) [193][350/586] lr: 5.000000e-05 eta: 1:03:59 time: 0.401435 data_time: 0.027847 memory: 15677 loss_kpt: 0.015555 acc_pose: 0.724112 loss: 0.015555 2022/10/11 05:21:34 - mmengine - INFO - Epoch(train) [193][400/586] lr: 5.000000e-05 eta: 1:03:40 time: 0.395506 data_time: 0.024443 memory: 15677 loss_kpt: 0.015546 acc_pose: 0.809328 loss: 0.015546 2022/10/11 05:21:54 - mmengine - INFO - Epoch(train) [193][450/586] lr: 5.000000e-05 eta: 1:03:21 time: 0.404673 data_time: 0.029245 memory: 15677 loss_kpt: 0.015993 acc_pose: 0.702875 loss: 0.015993 2022/10/11 05:22:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:22:14 - mmengine - INFO - Epoch(train) [193][500/586] lr: 5.000000e-05 eta: 1:03:03 time: 0.394009 data_time: 0.026140 memory: 15677 loss_kpt: 0.015175 acc_pose: 0.676251 loss: 0.015175 2022/10/11 05:22:34 - mmengine - INFO - Epoch(train) [193][550/586] lr: 5.000000e-05 eta: 1:02:44 time: 0.402607 data_time: 0.024569 memory: 15677 loss_kpt: 0.015349 acc_pose: 0.700365 loss: 0.015349 2022/10/11 05:22:48 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:23:09 - mmengine - INFO - Epoch(train) [194][50/586] lr: 5.000000e-05 eta: 1:02:10 time: 0.407935 data_time: 0.032020 memory: 15677 loss_kpt: 0.015778 acc_pose: 0.758932 loss: 0.015778 2022/10/11 05:23:29 - mmengine - INFO - Epoch(train) [194][100/586] lr: 5.000000e-05 eta: 1:01:52 time: 0.400271 data_time: 0.023471 memory: 15677 loss_kpt: 0.015377 acc_pose: 0.705536 loss: 0.015377 2022/10/11 05:23:49 - mmengine - INFO - Epoch(train) [194][150/586] lr: 5.000000e-05 eta: 1:01:33 time: 0.396440 data_time: 0.023029 memory: 15677 loss_kpt: 0.015374 acc_pose: 0.686722 loss: 0.015374 2022/10/11 05:24:09 - mmengine - INFO - Epoch(train) [194][200/586] lr: 5.000000e-05 eta: 1:01:14 time: 0.399753 data_time: 0.024783 memory: 15677 loss_kpt: 0.015432 acc_pose: 0.704506 loss: 0.015432 2022/10/11 05:24:29 - mmengine - INFO - Epoch(train) [194][250/586] lr: 5.000000e-05 eta: 1:00:56 time: 0.397924 data_time: 0.024118 memory: 15677 loss_kpt: 0.015958 acc_pose: 0.671496 loss: 0.015958 2022/10/11 05:24:49 - mmengine - INFO - Epoch(train) [194][300/586] lr: 5.000000e-05 eta: 1:00:37 time: 0.405808 data_time: 0.025754 memory: 15677 loss_kpt: 0.015895 acc_pose: 0.734246 loss: 0.015895 2022/10/11 05:25:09 - mmengine - INFO - Epoch(train) [194][350/586] lr: 5.000000e-05 eta: 1:00:18 time: 0.398312 data_time: 0.024409 memory: 15677 loss_kpt: 0.015186 acc_pose: 0.674157 loss: 0.015186 2022/10/11 05:25:29 - mmengine - INFO - Epoch(train) [194][400/586] lr: 5.000000e-05 eta: 0:59:59 time: 0.401190 data_time: 0.023996 memory: 15677 loss_kpt: 0.015864 acc_pose: 0.706925 loss: 0.015864 2022/10/11 05:25:49 - mmengine - INFO - Epoch(train) [194][450/586] lr: 5.000000e-05 eta: 0:59:41 time: 0.396411 data_time: 0.022651 memory: 15677 loss_kpt: 0.015807 acc_pose: 0.663496 loss: 0.015807 2022/10/11 05:26:09 - mmengine - INFO - Epoch(train) [194][500/586] lr: 5.000000e-05 eta: 0:59:22 time: 0.395907 data_time: 0.024463 memory: 15677 loss_kpt: 0.015980 acc_pose: 0.754079 loss: 0.015980 2022/10/11 05:26:29 - mmengine - INFO - Epoch(train) [194][550/586] lr: 5.000000e-05 eta: 0:59:03 time: 0.403783 data_time: 0.028111 memory: 15677 loss_kpt: 0.015369 acc_pose: 0.753941 loss: 0.015369 2022/10/11 05:26:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:27:04 - mmengine - INFO - Epoch(train) [195][50/586] lr: 5.000000e-05 eta: 0:58:30 time: 0.417233 data_time: 0.033840 memory: 15677 loss_kpt: 0.015329 acc_pose: 0.670372 loss: 0.015329 2022/10/11 05:27:24 - mmengine - INFO - Epoch(train) [195][100/586] lr: 5.000000e-05 eta: 0:58:11 time: 0.402047 data_time: 0.026017 memory: 15677 loss_kpt: 0.015655 acc_pose: 0.755719 loss: 0.015655 2022/10/11 05:27:44 - mmengine - INFO - Epoch(train) [195][150/586] lr: 5.000000e-05 eta: 0:57:52 time: 0.407402 data_time: 0.024631 memory: 15677 loss_kpt: 0.015434 acc_pose: 0.717947 loss: 0.015434 2022/10/11 05:28:04 - mmengine - INFO - Epoch(train) [195][200/586] lr: 5.000000e-05 eta: 0:57:34 time: 0.403961 data_time: 0.029029 memory: 15677 loss_kpt: 0.015503 acc_pose: 0.733710 loss: 0.015503 2022/10/11 05:28:24 - mmengine - INFO - Epoch(train) [195][250/586] lr: 5.000000e-05 eta: 0:57:15 time: 0.396427 data_time: 0.025771 memory: 15677 loss_kpt: 0.015900 acc_pose: 0.691958 loss: 0.015900 2022/10/11 05:28:45 - mmengine - INFO - Epoch(train) [195][300/586] lr: 5.000000e-05 eta: 0:56:56 time: 0.410281 data_time: 0.025309 memory: 15677 loss_kpt: 0.015314 acc_pose: 0.762077 loss: 0.015314 2022/10/11 05:28:51 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:29:05 - mmengine - INFO - Epoch(train) [195][350/586] lr: 5.000000e-05 eta: 0:56:38 time: 0.396106 data_time: 0.027710 memory: 15677 loss_kpt: 0.015629 acc_pose: 0.702665 loss: 0.015629 2022/10/11 05:29:25 - mmengine - INFO - Epoch(train) [195][400/586] lr: 5.000000e-05 eta: 0:56:19 time: 0.402499 data_time: 0.025356 memory: 15677 loss_kpt: 0.015733 acc_pose: 0.663993 loss: 0.015733 2022/10/11 05:29:45 - mmengine - INFO - Epoch(train) [195][450/586] lr: 5.000000e-05 eta: 0:56:00 time: 0.398182 data_time: 0.024248 memory: 15677 loss_kpt: 0.015672 acc_pose: 0.708089 loss: 0.015672 2022/10/11 05:30:05 - mmengine - INFO - Epoch(train) [195][500/586] lr: 5.000000e-05 eta: 0:55:41 time: 0.402401 data_time: 0.025321 memory: 15677 loss_kpt: 0.015814 acc_pose: 0.670564 loss: 0.015814 2022/10/11 05:30:25 - mmengine - INFO - Epoch(train) [195][550/586] lr: 5.000000e-05 eta: 0:55:23 time: 0.396669 data_time: 0.026206 memory: 15677 loss_kpt: 0.015258 acc_pose: 0.714359 loss: 0.015258 2022/10/11 05:30:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:30:59 - mmengine - INFO - Epoch(train) [196][50/586] lr: 5.000000e-05 eta: 0:54:49 time: 0.414378 data_time: 0.036684 memory: 15677 loss_kpt: 0.015425 acc_pose: 0.663319 loss: 0.015425 2022/10/11 05:31:19 - mmengine - INFO - Epoch(train) [196][100/586] lr: 5.000000e-05 eta: 0:54:31 time: 0.400811 data_time: 0.026323 memory: 15677 loss_kpt: 0.015030 acc_pose: 0.745501 loss: 0.015030 2022/10/11 05:31:40 - mmengine - INFO - Epoch(train) [196][150/586] lr: 5.000000e-05 eta: 0:54:12 time: 0.402445 data_time: 0.023893 memory: 15677 loss_kpt: 0.015554 acc_pose: 0.666236 loss: 0.015554 2022/10/11 05:32:00 - mmengine - INFO - Epoch(train) [196][200/586] lr: 5.000000e-05 eta: 0:53:53 time: 0.401201 data_time: 0.024655 memory: 15677 loss_kpt: 0.015414 acc_pose: 0.727491 loss: 0.015414 2022/10/11 05:32:20 - mmengine - INFO - Epoch(train) [196][250/586] lr: 5.000000e-05 eta: 0:53:34 time: 0.403489 data_time: 0.026598 memory: 15677 loss_kpt: 0.015412 acc_pose: 0.732699 loss: 0.015412 2022/10/11 05:32:40 - mmengine - INFO - Epoch(train) [196][300/586] lr: 5.000000e-05 eta: 0:53:16 time: 0.396294 data_time: 0.024345 memory: 15677 loss_kpt: 0.015413 acc_pose: 0.724458 loss: 0.015413 2022/10/11 05:32:59 - mmengine - INFO - Epoch(train) [196][350/586] lr: 5.000000e-05 eta: 0:52:57 time: 0.394373 data_time: 0.027408 memory: 15677 loss_kpt: 0.015467 acc_pose: 0.788492 loss: 0.015467 2022/10/11 05:33:20 - mmengine - INFO - Epoch(train) [196][400/586] lr: 5.000000e-05 eta: 0:52:38 time: 0.405477 data_time: 0.024490 memory: 15677 loss_kpt: 0.015490 acc_pose: 0.749389 loss: 0.015490 2022/10/11 05:33:40 - mmengine - INFO - Epoch(train) [196][450/586] lr: 5.000000e-05 eta: 0:52:20 time: 0.398713 data_time: 0.026493 memory: 15677 loss_kpt: 0.015818 acc_pose: 0.609174 loss: 0.015818 2022/10/11 05:34:00 - mmengine - INFO - Epoch(train) [196][500/586] lr: 5.000000e-05 eta: 0:52:01 time: 0.408678 data_time: 0.028925 memory: 15677 loss_kpt: 0.015928 acc_pose: 0.764317 loss: 0.015928 2022/10/11 05:34:20 - mmengine - INFO - Epoch(train) [196][550/586] lr: 5.000000e-05 eta: 0:51:42 time: 0.395479 data_time: 0.025116 memory: 15677 loss_kpt: 0.015924 acc_pose: 0.634360 loss: 0.015924 2022/10/11 05:34:34 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:34:54 - mmengine - INFO - Epoch(train) [197][50/586] lr: 5.000000e-05 eta: 0:51:09 time: 0.411322 data_time: 0.033721 memory: 15677 loss_kpt: 0.015261 acc_pose: 0.804385 loss: 0.015261 2022/10/11 05:35:15 - mmengine - INFO - Epoch(train) [197][100/586] lr: 5.000000e-05 eta: 0:50:50 time: 0.406350 data_time: 0.027425 memory: 15677 loss_kpt: 0.015648 acc_pose: 0.761095 loss: 0.015648 2022/10/11 05:35:32 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:35:35 - mmengine - INFO - Epoch(train) [197][150/586] lr: 5.000000e-05 eta: 0:50:31 time: 0.402484 data_time: 0.026304 memory: 15677 loss_kpt: 0.015529 acc_pose: 0.865119 loss: 0.015529 2022/10/11 05:35:55 - mmengine - INFO - Epoch(train) [197][200/586] lr: 5.000000e-05 eta: 0:50:13 time: 0.395416 data_time: 0.025606 memory: 15677 loss_kpt: 0.014920 acc_pose: 0.758826 loss: 0.014920 2022/10/11 05:36:15 - mmengine - INFO - Epoch(train) [197][250/586] lr: 5.000000e-05 eta: 0:49:54 time: 0.404807 data_time: 0.025095 memory: 15677 loss_kpt: 0.015637 acc_pose: 0.814309 loss: 0.015637 2022/10/11 05:36:35 - mmengine - INFO - Epoch(train) [197][300/586] lr: 5.000000e-05 eta: 0:49:35 time: 0.400254 data_time: 0.023846 memory: 15677 loss_kpt: 0.015459 acc_pose: 0.730246 loss: 0.015459 2022/10/11 05:36:55 - mmengine - INFO - Epoch(train) [197][350/586] lr: 5.000000e-05 eta: 0:49:16 time: 0.399545 data_time: 0.024355 memory: 15677 loss_kpt: 0.015852 acc_pose: 0.665411 loss: 0.015852 2022/10/11 05:37:15 - mmengine - INFO - Epoch(train) [197][400/586] lr: 5.000000e-05 eta: 0:48:58 time: 0.401045 data_time: 0.025254 memory: 15677 loss_kpt: 0.015808 acc_pose: 0.651928 loss: 0.015808 2022/10/11 05:37:35 - mmengine - INFO - Epoch(train) [197][450/586] lr: 5.000000e-05 eta: 0:48:39 time: 0.399413 data_time: 0.025165 memory: 15677 loss_kpt: 0.015744 acc_pose: 0.730310 loss: 0.015744 2022/10/11 05:37:55 - mmengine - INFO - Epoch(train) [197][500/586] lr: 5.000000e-05 eta: 0:48:20 time: 0.400577 data_time: 0.024804 memory: 15677 loss_kpt: 0.015482 acc_pose: 0.744790 loss: 0.015482 2022/10/11 05:38:15 - mmengine - INFO - Epoch(train) [197][550/586] lr: 5.000000e-05 eta: 0:48:01 time: 0.397545 data_time: 0.025268 memory: 15677 loss_kpt: 0.015430 acc_pose: 0.741013 loss: 0.015430 2022/10/11 05:38:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:38:49 - mmengine - INFO - Epoch(train) [198][50/586] lr: 5.000000e-05 eta: 0:47:28 time: 0.409745 data_time: 0.032040 memory: 15677 loss_kpt: 0.015282 acc_pose: 0.689386 loss: 0.015282 2022/10/11 05:39:09 - mmengine - INFO - Epoch(train) [198][100/586] lr: 5.000000e-05 eta: 0:47:10 time: 0.397665 data_time: 0.025332 memory: 15677 loss_kpt: 0.015524 acc_pose: 0.689266 loss: 0.015524 2022/10/11 05:39:30 - mmengine - INFO - Epoch(train) [198][150/586] lr: 5.000000e-05 eta: 0:46:51 time: 0.402440 data_time: 0.025237 memory: 15677 loss_kpt: 0.015384 acc_pose: 0.737101 loss: 0.015384 2022/10/11 05:39:50 - mmengine - INFO - Epoch(train) [198][200/586] lr: 5.000000e-05 eta: 0:46:32 time: 0.401905 data_time: 0.029439 memory: 15677 loss_kpt: 0.015836 acc_pose: 0.690464 loss: 0.015836 2022/10/11 05:40:10 - mmengine - INFO - Epoch(train) [198][250/586] lr: 5.000000e-05 eta: 0:46:13 time: 0.398335 data_time: 0.025422 memory: 15677 loss_kpt: 0.015311 acc_pose: 0.653944 loss: 0.015311 2022/10/11 05:40:30 - mmengine - INFO - Epoch(train) [198][300/586] lr: 5.000000e-05 eta: 0:45:55 time: 0.399482 data_time: 0.025209 memory: 15677 loss_kpt: 0.015579 acc_pose: 0.759776 loss: 0.015579 2022/10/11 05:40:49 - mmengine - INFO - Epoch(train) [198][350/586] lr: 5.000000e-05 eta: 0:45:36 time: 0.397737 data_time: 0.025045 memory: 15677 loss_kpt: 0.016043 acc_pose: 0.762879 loss: 0.016043 2022/10/11 05:41:10 - mmengine - INFO - Epoch(train) [198][400/586] lr: 5.000000e-05 eta: 0:45:17 time: 0.400624 data_time: 0.025369 memory: 15677 loss_kpt: 0.015897 acc_pose: 0.781524 loss: 0.015897 2022/10/11 05:41:30 - mmengine - INFO - Epoch(train) [198][450/586] lr: 5.000000e-05 eta: 0:44:58 time: 0.401617 data_time: 0.029955 memory: 15677 loss_kpt: 0.015497 acc_pose: 0.710096 loss: 0.015497 2022/10/11 05:41:50 - mmengine - INFO - Epoch(train) [198][500/586] lr: 5.000000e-05 eta: 0:44:40 time: 0.403248 data_time: 0.025575 memory: 15677 loss_kpt: 0.015256 acc_pose: 0.676570 loss: 0.015256 2022/10/11 05:42:10 - mmengine - INFO - Epoch(train) [198][550/586] lr: 5.000000e-05 eta: 0:44:21 time: 0.396524 data_time: 0.026917 memory: 15677 loss_kpt: 0.015367 acc_pose: 0.701176 loss: 0.015367 2022/10/11 05:42:13 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:42:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:42:45 - mmengine - INFO - Epoch(train) [199][50/586] lr: 5.000000e-05 eta: 0:43:48 time: 0.418333 data_time: 0.038507 memory: 15677 loss_kpt: 0.015458 acc_pose: 0.803024 loss: 0.015458 2022/10/11 05:43:05 - mmengine - INFO - Epoch(train) [199][100/586] lr: 5.000000e-05 eta: 0:43:29 time: 0.400124 data_time: 0.024607 memory: 15677 loss_kpt: 0.015851 acc_pose: 0.728476 loss: 0.015851 2022/10/11 05:43:25 - mmengine - INFO - Epoch(train) [199][150/586] lr: 5.000000e-05 eta: 0:43:10 time: 0.398843 data_time: 0.024569 memory: 15677 loss_kpt: 0.015424 acc_pose: 0.643465 loss: 0.015424 2022/10/11 05:43:44 - mmengine - INFO - Epoch(train) [199][200/586] lr: 5.000000e-05 eta: 0:42:51 time: 0.396798 data_time: 0.023936 memory: 15677 loss_kpt: 0.015334 acc_pose: 0.624634 loss: 0.015334 2022/10/11 05:44:04 - mmengine - INFO - Epoch(train) [199][250/586] lr: 5.000000e-05 eta: 0:42:33 time: 0.400345 data_time: 0.025771 memory: 15677 loss_kpt: 0.015724 acc_pose: 0.733492 loss: 0.015724 2022/10/11 05:44:25 - mmengine - INFO - Epoch(train) [199][300/586] lr: 5.000000e-05 eta: 0:42:14 time: 0.405284 data_time: 0.027981 memory: 15677 loss_kpt: 0.015357 acc_pose: 0.709255 loss: 0.015357 2022/10/11 05:44:45 - mmengine - INFO - Epoch(train) [199][350/586] lr: 5.000000e-05 eta: 0:41:55 time: 0.397331 data_time: 0.025506 memory: 15677 loss_kpt: 0.015532 acc_pose: 0.764534 loss: 0.015532 2022/10/11 05:45:04 - mmengine - INFO - Epoch(train) [199][400/586] lr: 5.000000e-05 eta: 0:41:36 time: 0.397632 data_time: 0.027032 memory: 15677 loss_kpt: 0.015865 acc_pose: 0.657676 loss: 0.015865 2022/10/11 05:45:25 - mmengine - INFO - Epoch(train) [199][450/586] lr: 5.000000e-05 eta: 0:41:18 time: 0.400791 data_time: 0.024747 memory: 15677 loss_kpt: 0.015755 acc_pose: 0.639222 loss: 0.015755 2022/10/11 05:45:45 - mmengine - INFO - Epoch(train) [199][500/586] lr: 5.000000e-05 eta: 0:40:59 time: 0.403149 data_time: 0.024149 memory: 15677 loss_kpt: 0.015674 acc_pose: 0.725710 loss: 0.015674 2022/10/11 05:46:05 - mmengine - INFO - Epoch(train) [199][550/586] lr: 5.000000e-05 eta: 0:40:40 time: 0.399173 data_time: 0.024327 memory: 15677 loss_kpt: 0.015095 acc_pose: 0.683947 loss: 0.015095 2022/10/11 05:46:19 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:46:40 - mmengine - INFO - Epoch(train) [200][50/586] lr: 5.000000e-05 eta: 0:40:07 time: 0.413645 data_time: 0.039017 memory: 15677 loss_kpt: 0.014927 acc_pose: 0.753749 loss: 0.014927 2022/10/11 05:47:00 - mmengine - INFO - Epoch(train) [200][100/586] lr: 5.000000e-05 eta: 0:39:48 time: 0.400330 data_time: 0.025397 memory: 15677 loss_kpt: 0.015556 acc_pose: 0.645037 loss: 0.015556 2022/10/11 05:47:20 - mmengine - INFO - Epoch(train) [200][150/586] lr: 5.000000e-05 eta: 0:39:30 time: 0.398425 data_time: 0.025661 memory: 15677 loss_kpt: 0.015669 acc_pose: 0.716790 loss: 0.015669 2022/10/11 05:47:40 - mmengine - INFO - Epoch(train) [200][200/586] lr: 5.000000e-05 eta: 0:39:11 time: 0.404635 data_time: 0.025900 memory: 15677 loss_kpt: 0.015702 acc_pose: 0.730007 loss: 0.015702 2022/10/11 05:48:00 - mmengine - INFO - Epoch(train) [200][250/586] lr: 5.000000e-05 eta: 0:38:52 time: 0.401398 data_time: 0.025093 memory: 15677 loss_kpt: 0.015708 acc_pose: 0.715906 loss: 0.015708 2022/10/11 05:48:20 - mmengine - INFO - Epoch(train) [200][300/586] lr: 5.000000e-05 eta: 0:38:33 time: 0.396734 data_time: 0.025221 memory: 15677 loss_kpt: 0.015589 acc_pose: 0.698963 loss: 0.015589 2022/10/11 05:48:40 - mmengine - INFO - Epoch(train) [200][350/586] lr: 5.000000e-05 eta: 0:38:15 time: 0.404566 data_time: 0.026149 memory: 15677 loss_kpt: 0.015722 acc_pose: 0.715444 loss: 0.015722 2022/10/11 05:48:55 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:49:00 - mmengine - INFO - Epoch(train) [200][400/586] lr: 5.000000e-05 eta: 0:37:56 time: 0.403753 data_time: 0.028774 memory: 15677 loss_kpt: 0.015169 acc_pose: 0.729167 loss: 0.015169 2022/10/11 05:49:20 - mmengine - INFO - Epoch(train) [200][450/586] lr: 5.000000e-05 eta: 0:37:37 time: 0.396432 data_time: 0.024363 memory: 15677 loss_kpt: 0.015547 acc_pose: 0.704701 loss: 0.015547 2022/10/11 05:49:40 - mmengine - INFO - Epoch(train) [200][500/586] lr: 5.000000e-05 eta: 0:37:18 time: 0.400011 data_time: 0.025082 memory: 15677 loss_kpt: 0.016077 acc_pose: 0.695264 loss: 0.016077 2022/10/11 05:50:00 - mmengine - INFO - Epoch(train) [200][550/586] lr: 5.000000e-05 eta: 0:37:00 time: 0.398310 data_time: 0.024694 memory: 15677 loss_kpt: 0.015481 acc_pose: 0.655039 loss: 0.015481 2022/10/11 05:50:15 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:50:15 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/10/11 05:50:28 - mmengine - INFO - Epoch(val) [200][50/407] eta: 0:01:10 time: 0.197335 data_time: 0.014560 memory: 15677 2022/10/11 05:50:37 - mmengine - INFO - Epoch(val) [200][100/407] eta: 0:00:58 time: 0.190053 data_time: 0.008895 memory: 4213 2022/10/11 05:50:47 - mmengine - INFO - Epoch(val) [200][150/407] eta: 0:00:48 time: 0.190227 data_time: 0.009379 memory: 4213 2022/10/11 05:50:56 - mmengine - INFO - Epoch(val) [200][200/407] eta: 0:00:39 time: 0.189952 data_time: 0.008678 memory: 4213 2022/10/11 05:51:06 - mmengine - INFO - Epoch(val) [200][250/407] eta: 0:00:29 time: 0.190329 data_time: 0.009049 memory: 4213 2022/10/11 05:51:15 - mmengine - INFO - Epoch(val) [200][300/407] eta: 0:00:20 time: 0.193152 data_time: 0.008637 memory: 4213 2022/10/11 05:51:25 - mmengine - INFO - Epoch(val) [200][350/407] eta: 0:00:10 time: 0.189852 data_time: 0.009063 memory: 4213 2022/10/11 05:51:34 - mmengine - INFO - Epoch(val) [200][400/407] eta: 0:00:01 time: 0.189291 data_time: 0.008773 memory: 4213 2022/10/11 05:52:06 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 05:52:19 - mmengine - INFO - Epoch(val) [200][407/407] coco/AP: 0.651091 coco/AP .5: 0.864433 coco/AP .75: 0.729708 coco/AP (M): 0.620233 coco/AP (L): 0.715629 coco/AR: 0.709682 coco/AR .5: 0.908375 coco/AR .75: 0.781171 coco/AR (M): 0.668178 coco/AR (L): 0.769342 2022/10/11 05:52:19 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_190.pth is removed 2022/10/11 05:52:21 - mmengine - INFO - The best checkpoint with 0.6511 coco/AP at 200 epoch is saved to best_coco/AP_epoch_200.pth. 2022/10/11 05:52:42 - mmengine - INFO - Epoch(train) [201][50/586] lr: 5.000000e-06 eta: 0:36:27 time: 0.402605 data_time: 0.033142 memory: 15677 loss_kpt: 0.015227 acc_pose: 0.701476 loss: 0.015227 2022/10/11 05:53:02 - mmengine - INFO - Epoch(train) [201][100/586] lr: 5.000000e-06 eta: 0:36:08 time: 0.399650 data_time: 0.024463 memory: 15677 loss_kpt: 0.015554 acc_pose: 0.704246 loss: 0.015554 2022/10/11 05:53:21 - mmengine - INFO - Epoch(train) [201][150/586] lr: 5.000000e-06 eta: 0:35:49 time: 0.398057 data_time: 0.026948 memory: 15677 loss_kpt: 0.015338 acc_pose: 0.695466 loss: 0.015338 2022/10/11 05:53:41 - mmengine - INFO - Epoch(train) [201][200/586] lr: 5.000000e-06 eta: 0:35:30 time: 0.399516 data_time: 0.025552 memory: 15677 loss_kpt: 0.015424 acc_pose: 0.703202 loss: 0.015424 2022/10/11 05:54:02 - mmengine - INFO - Epoch(train) [201][250/586] lr: 5.000000e-06 eta: 0:35:11 time: 0.409975 data_time: 0.029199 memory: 15677 loss_kpt: 0.015519 acc_pose: 0.725538 loss: 0.015519 2022/10/11 05:54:22 - mmengine - INFO - Epoch(train) [201][300/586] lr: 5.000000e-06 eta: 0:34:53 time: 0.394990 data_time: 0.025326 memory: 15677 loss_kpt: 0.015558 acc_pose: 0.721498 loss: 0.015558 2022/10/11 05:54:42 - mmengine - INFO - Epoch(train) [201][350/586] lr: 5.000000e-06 eta: 0:34:34 time: 0.407161 data_time: 0.024630 memory: 15677 loss_kpt: 0.015190 acc_pose: 0.748116 loss: 0.015190 2022/10/11 05:55:02 - mmengine - INFO - Epoch(train) [201][400/586] lr: 5.000000e-06 eta: 0:34:15 time: 0.396531 data_time: 0.025440 memory: 15677 loss_kpt: 0.015522 acc_pose: 0.738128 loss: 0.015522 2022/10/11 05:55:22 - mmengine - INFO - Epoch(train) [201][450/586] lr: 5.000000e-06 eta: 0:33:56 time: 0.400465 data_time: 0.026002 memory: 15677 loss_kpt: 0.015500 acc_pose: 0.662678 loss: 0.015500 2022/10/11 05:55:42 - mmengine - INFO - Epoch(train) [201][500/586] lr: 5.000000e-06 eta: 0:33:38 time: 0.407242 data_time: 0.034701 memory: 15677 loss_kpt: 0.015319 acc_pose: 0.708641 loss: 0.015319 2022/10/11 05:56:02 - mmengine - INFO - Epoch(train) [201][550/586] lr: 5.000000e-06 eta: 0:33:19 time: 0.396695 data_time: 0.030072 memory: 15677 loss_kpt: 0.016000 acc_pose: 0.707815 loss: 0.016000 2022/10/11 05:56:17 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:56:37 - mmengine - INFO - Epoch(train) [202][50/586] lr: 5.000000e-06 eta: 0:32:46 time: 0.411317 data_time: 0.036175 memory: 15677 loss_kpt: 0.015499 acc_pose: 0.697735 loss: 0.015499 2022/10/11 05:56:58 - mmengine - INFO - Epoch(train) [202][100/586] lr: 5.000000e-06 eta: 0:32:27 time: 0.407581 data_time: 0.030111 memory: 15677 loss_kpt: 0.015174 acc_pose: 0.739980 loss: 0.015174 2022/10/11 05:57:17 - mmengine - INFO - Epoch(train) [202][150/586] lr: 5.000000e-06 eta: 0:32:08 time: 0.396559 data_time: 0.025784 memory: 15677 loss_kpt: 0.015278 acc_pose: 0.716417 loss: 0.015278 2022/10/11 05:57:37 - mmengine - INFO - Epoch(train) [202][200/586] lr: 5.000000e-06 eta: 0:31:50 time: 0.399952 data_time: 0.026214 memory: 15677 loss_kpt: 0.015443 acc_pose: 0.750345 loss: 0.015443 2022/10/11 05:57:43 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 05:57:57 - mmengine - INFO - Epoch(train) [202][250/586] lr: 5.000000e-06 eta: 0:31:31 time: 0.400328 data_time: 0.025018 memory: 15677 loss_kpt: 0.015424 acc_pose: 0.802399 loss: 0.015424 2022/10/11 05:58:17 - mmengine - INFO - Epoch(train) [202][300/586] lr: 5.000000e-06 eta: 0:31:12 time: 0.397608 data_time: 0.027059 memory: 15677 loss_kpt: 0.015291 acc_pose: 0.725544 loss: 0.015291 2022/10/11 05:58:37 - mmengine - INFO - Epoch(train) [202][350/586] lr: 5.000000e-06 eta: 0:30:53 time: 0.402600 data_time: 0.030414 memory: 15677 loss_kpt: 0.015410 acc_pose: 0.750717 loss: 0.015410 2022/10/11 05:58:57 - mmengine - INFO - Epoch(train) [202][400/586] lr: 5.000000e-06 eta: 0:30:35 time: 0.397706 data_time: 0.025040 memory: 15677 loss_kpt: 0.015227 acc_pose: 0.740820 loss: 0.015227 2022/10/11 05:59:17 - mmengine - INFO - Epoch(train) [202][450/586] lr: 5.000000e-06 eta: 0:30:16 time: 0.396818 data_time: 0.025805 memory: 15677 loss_kpt: 0.015470 acc_pose: 0.674848 loss: 0.015470 2022/10/11 05:59:37 - mmengine - INFO - Epoch(train) [202][500/586] lr: 5.000000e-06 eta: 0:29:57 time: 0.400612 data_time: 0.025938 memory: 15677 loss_kpt: 0.015686 acc_pose: 0.763979 loss: 0.015686 2022/10/11 05:59:58 - mmengine - INFO - Epoch(train) [202][550/586] lr: 5.000000e-06 eta: 0:29:38 time: 0.414513 data_time: 0.025399 memory: 15677 loss_kpt: 0.015623 acc_pose: 0.722577 loss: 0.015623 2022/10/11 06:00:12 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:00:32 - mmengine - INFO - Epoch(train) [203][50/586] lr: 5.000000e-06 eta: 0:29:05 time: 0.406132 data_time: 0.035814 memory: 15677 loss_kpt: 0.015665 acc_pose: 0.684718 loss: 0.015665 2022/10/11 06:00:52 - mmengine - INFO - Epoch(train) [203][100/586] lr: 5.000000e-06 eta: 0:28:47 time: 0.398924 data_time: 0.025548 memory: 15677 loss_kpt: 0.015227 acc_pose: 0.718356 loss: 0.015227 2022/10/11 06:01:12 - mmengine - INFO - Epoch(train) [203][150/586] lr: 5.000000e-06 eta: 0:28:28 time: 0.399835 data_time: 0.025041 memory: 15677 loss_kpt: 0.015249 acc_pose: 0.689183 loss: 0.015249 2022/10/11 06:01:33 - mmengine - INFO - Epoch(train) [203][200/586] lr: 5.000000e-06 eta: 0:28:09 time: 0.405862 data_time: 0.029474 memory: 15677 loss_kpt: 0.015926 acc_pose: 0.722792 loss: 0.015926 2022/10/11 06:01:52 - mmengine - INFO - Epoch(train) [203][250/586] lr: 5.000000e-06 eta: 0:27:50 time: 0.393777 data_time: 0.024708 memory: 15677 loss_kpt: 0.015868 acc_pose: 0.686516 loss: 0.015868 2022/10/11 06:02:12 - mmengine - INFO - Epoch(train) [203][300/586] lr: 5.000000e-06 eta: 0:27:31 time: 0.399088 data_time: 0.025266 memory: 15677 loss_kpt: 0.015456 acc_pose: 0.795046 loss: 0.015456 2022/10/11 06:02:32 - mmengine - INFO - Epoch(train) [203][350/586] lr: 5.000000e-06 eta: 0:27:13 time: 0.397219 data_time: 0.026638 memory: 15677 loss_kpt: 0.015538 acc_pose: 0.733611 loss: 0.015538 2022/10/11 06:02:53 - mmengine - INFO - Epoch(train) [203][400/586] lr: 5.000000e-06 eta: 0:26:54 time: 0.408076 data_time: 0.025134 memory: 15677 loss_kpt: 0.015503 acc_pose: 0.775089 loss: 0.015503 2022/10/11 06:03:13 - mmengine - INFO - Epoch(train) [203][450/586] lr: 5.000000e-06 eta: 0:26:35 time: 0.398069 data_time: 0.028560 memory: 15677 loss_kpt: 0.015618 acc_pose: 0.808169 loss: 0.015618 2022/10/11 06:03:33 - mmengine - INFO - Epoch(train) [203][500/586] lr: 5.000000e-06 eta: 0:26:16 time: 0.401676 data_time: 0.025479 memory: 15677 loss_kpt: 0.015647 acc_pose: 0.722277 loss: 0.015647 2022/10/11 06:03:53 - mmengine - INFO - Epoch(train) [203][550/586] lr: 5.000000e-06 eta: 0:25:58 time: 0.398179 data_time: 0.025349 memory: 15677 loss_kpt: 0.016175 acc_pose: 0.705340 loss: 0.016175 2022/10/11 06:04:07 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:04:24 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:04:28 - mmengine - INFO - Epoch(train) [204][50/586] lr: 5.000000e-06 eta: 0:25:25 time: 0.417940 data_time: 0.036968 memory: 15677 loss_kpt: 0.015469 acc_pose: 0.672583 loss: 0.015469 2022/10/11 06:04:48 - mmengine - INFO - Epoch(train) [204][100/586] lr: 5.000000e-06 eta: 0:25:06 time: 0.398923 data_time: 0.026379 memory: 15677 loss_kpt: 0.015601 acc_pose: 0.750219 loss: 0.015601 2022/10/11 06:05:08 - mmengine - INFO - Epoch(train) [204][150/586] lr: 5.000000e-06 eta: 0:24:47 time: 0.400351 data_time: 0.028394 memory: 15677 loss_kpt: 0.015631 acc_pose: 0.731089 loss: 0.015631 2022/10/11 06:05:28 - mmengine - INFO - Epoch(train) [204][200/586] lr: 5.000000e-06 eta: 0:24:28 time: 0.400702 data_time: 0.027302 memory: 15677 loss_kpt: 0.015462 acc_pose: 0.719455 loss: 0.015462 2022/10/11 06:05:48 - mmengine - INFO - Epoch(train) [204][250/586] lr: 5.000000e-06 eta: 0:24:10 time: 0.408253 data_time: 0.028277 memory: 15677 loss_kpt: 0.015298 acc_pose: 0.750488 loss: 0.015298 2022/10/11 06:06:08 - mmengine - INFO - Epoch(train) [204][300/586] lr: 5.000000e-06 eta: 0:23:51 time: 0.403930 data_time: 0.025136 memory: 15677 loss_kpt: 0.015570 acc_pose: 0.730328 loss: 0.015570 2022/10/11 06:06:28 - mmengine - INFO - Epoch(train) [204][350/586] lr: 5.000000e-06 eta: 0:23:32 time: 0.397170 data_time: 0.024605 memory: 15677 loss_kpt: 0.015468 acc_pose: 0.747933 loss: 0.015468 2022/10/11 06:06:48 - mmengine - INFO - Epoch(train) [204][400/586] lr: 5.000000e-06 eta: 0:23:13 time: 0.398052 data_time: 0.025873 memory: 15677 loss_kpt: 0.015591 acc_pose: 0.716243 loss: 0.015591 2022/10/11 06:07:08 - mmengine - INFO - Epoch(train) [204][450/586] lr: 5.000000e-06 eta: 0:22:55 time: 0.401103 data_time: 0.026117 memory: 15677 loss_kpt: 0.015530 acc_pose: 0.732362 loss: 0.015530 2022/10/11 06:07:29 - mmengine - INFO - Epoch(train) [204][500/586] lr: 5.000000e-06 eta: 0:22:36 time: 0.408477 data_time: 0.024315 memory: 15677 loss_kpt: 0.015342 acc_pose: 0.749782 loss: 0.015342 2022/10/11 06:07:49 - mmengine - INFO - Epoch(train) [204][550/586] lr: 5.000000e-06 eta: 0:22:17 time: 0.399701 data_time: 0.024143 memory: 15677 loss_kpt: 0.015603 acc_pose: 0.734770 loss: 0.015603 2022/10/11 06:08:03 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:08:23 - mmengine - INFO - Epoch(train) [205][50/586] lr: 5.000000e-06 eta: 0:21:44 time: 0.401047 data_time: 0.032921 memory: 15677 loss_kpt: 0.015371 acc_pose: 0.708561 loss: 0.015371 2022/10/11 06:08:43 - mmengine - INFO - Epoch(train) [205][100/586] lr: 5.000000e-06 eta: 0:21:25 time: 0.402859 data_time: 0.023964 memory: 15677 loss_kpt: 0.015367 acc_pose: 0.732974 loss: 0.015367 2022/10/11 06:09:03 - mmengine - INFO - Epoch(train) [205][150/586] lr: 5.000000e-06 eta: 0:21:07 time: 0.406825 data_time: 0.028513 memory: 15677 loss_kpt: 0.015580 acc_pose: 0.718142 loss: 0.015580 2022/10/11 06:09:23 - mmengine - INFO - Epoch(train) [205][200/586] lr: 5.000000e-06 eta: 0:20:48 time: 0.398613 data_time: 0.025974 memory: 15677 loss_kpt: 0.015527 acc_pose: 0.708672 loss: 0.015527 2022/10/11 06:09:43 - mmengine - INFO - Epoch(train) [205][250/586] lr: 5.000000e-06 eta: 0:20:29 time: 0.397171 data_time: 0.025100 memory: 15677 loss_kpt: 0.015269 acc_pose: 0.669073 loss: 0.015269 2022/10/11 06:10:03 - mmengine - INFO - Epoch(train) [205][300/586] lr: 5.000000e-06 eta: 0:20:10 time: 0.395127 data_time: 0.025400 memory: 15677 loss_kpt: 0.014575 acc_pose: 0.735396 loss: 0.014575 2022/10/11 06:10:23 - mmengine - INFO - Epoch(train) [205][350/586] lr: 5.000000e-06 eta: 0:19:52 time: 0.410343 data_time: 0.028311 memory: 15677 loss_kpt: 0.015884 acc_pose: 0.712424 loss: 0.015884 2022/10/11 06:10:44 - mmengine - INFO - Epoch(train) [205][400/586] lr: 5.000000e-06 eta: 0:19:33 time: 0.400228 data_time: 0.024946 memory: 15677 loss_kpt: 0.015340 acc_pose: 0.759677 loss: 0.015340 2022/10/11 06:11:04 - mmengine - INFO - Epoch(train) [205][450/586] lr: 5.000000e-06 eta: 0:19:14 time: 0.401105 data_time: 0.026390 memory: 15677 loss_kpt: 0.015699 acc_pose: 0.688412 loss: 0.015699 2022/10/11 06:11:06 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:11:23 - mmengine - INFO - Epoch(train) [205][500/586] lr: 5.000000e-06 eta: 0:18:55 time: 0.393522 data_time: 0.024149 memory: 15677 loss_kpt: 0.015482 acc_pose: 0.702505 loss: 0.015482 2022/10/11 06:11:43 - mmengine - INFO - Epoch(train) [205][550/586] lr: 5.000000e-06 eta: 0:18:36 time: 0.396416 data_time: 0.027149 memory: 15677 loss_kpt: 0.015360 acc_pose: 0.797759 loss: 0.015360 2022/10/11 06:11:58 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:12:18 - mmengine - INFO - Epoch(train) [206][50/586] lr: 5.000000e-06 eta: 0:18:04 time: 0.414530 data_time: 0.034811 memory: 15677 loss_kpt: 0.015466 acc_pose: 0.641125 loss: 0.015466 2022/10/11 06:12:38 - mmengine - INFO - Epoch(train) [206][100/586] lr: 5.000000e-06 eta: 0:17:45 time: 0.401241 data_time: 0.023976 memory: 15677 loss_kpt: 0.015742 acc_pose: 0.614514 loss: 0.015742 2022/10/11 06:12:58 - mmengine - INFO - Epoch(train) [206][150/586] lr: 5.000000e-06 eta: 0:17:26 time: 0.397333 data_time: 0.024116 memory: 15677 loss_kpt: 0.015272 acc_pose: 0.735704 loss: 0.015272 2022/10/11 06:13:19 - mmengine - INFO - Epoch(train) [206][200/586] lr: 5.000000e-06 eta: 0:17:07 time: 0.403201 data_time: 0.025394 memory: 15677 loss_kpt: 0.015477 acc_pose: 0.727283 loss: 0.015477 2022/10/11 06:13:39 - mmengine - INFO - Epoch(train) [206][250/586] lr: 5.000000e-06 eta: 0:16:48 time: 0.405859 data_time: 0.024638 memory: 15677 loss_kpt: 0.015553 acc_pose: 0.686066 loss: 0.015553 2022/10/11 06:13:59 - mmengine - INFO - Epoch(train) [206][300/586] lr: 5.000000e-06 eta: 0:16:30 time: 0.394722 data_time: 0.024817 memory: 15677 loss_kpt: 0.015227 acc_pose: 0.744903 loss: 0.015227 2022/10/11 06:14:18 - mmengine - INFO - Epoch(train) [206][350/586] lr: 5.000000e-06 eta: 0:16:11 time: 0.397292 data_time: 0.024270 memory: 15677 loss_kpt: 0.015473 acc_pose: 0.799801 loss: 0.015473 2022/10/11 06:14:39 - mmengine - INFO - Epoch(train) [206][400/586] lr: 5.000000e-06 eta: 0:15:52 time: 0.406633 data_time: 0.028713 memory: 15677 loss_kpt: 0.015839 acc_pose: 0.734484 loss: 0.015839 2022/10/11 06:14:59 - mmengine - INFO - Epoch(train) [206][450/586] lr: 5.000000e-06 eta: 0:15:33 time: 0.404447 data_time: 0.026181 memory: 15677 loss_kpt: 0.015775 acc_pose: 0.696587 loss: 0.015775 2022/10/11 06:15:19 - mmengine - INFO - Epoch(train) [206][500/586] lr: 5.000000e-06 eta: 0:15:14 time: 0.399927 data_time: 0.027662 memory: 15677 loss_kpt: 0.015620 acc_pose: 0.617566 loss: 0.015620 2022/10/11 06:15:39 - mmengine - INFO - Epoch(train) [206][550/586] lr: 5.000000e-06 eta: 0:14:56 time: 0.398795 data_time: 0.026500 memory: 15677 loss_kpt: 0.015340 acc_pose: 0.728072 loss: 0.015340 2022/10/11 06:15:53 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:16:14 - mmengine - INFO - Epoch(train) [207][50/586] lr: 5.000000e-06 eta: 0:14:23 time: 0.410188 data_time: 0.037225 memory: 15677 loss_kpt: 0.015838 acc_pose: 0.732552 loss: 0.015838 2022/10/11 06:16:34 - mmengine - INFO - Epoch(train) [207][100/586] lr: 5.000000e-06 eta: 0:14:04 time: 0.407376 data_time: 0.023914 memory: 15677 loss_kpt: 0.015469 acc_pose: 0.711279 loss: 0.015469 2022/10/11 06:16:54 - mmengine - INFO - Epoch(train) [207][150/586] lr: 5.000000e-06 eta: 0:13:45 time: 0.397203 data_time: 0.024235 memory: 15677 loss_kpt: 0.015958 acc_pose: 0.735933 loss: 0.015958 2022/10/11 06:17:14 - mmengine - INFO - Epoch(train) [207][200/586] lr: 5.000000e-06 eta: 0:13:27 time: 0.396663 data_time: 0.024049 memory: 15677 loss_kpt: 0.015480 acc_pose: 0.744963 loss: 0.015480 2022/10/11 06:17:34 - mmengine - INFO - Epoch(train) [207][250/586] lr: 5.000000e-06 eta: 0:13:08 time: 0.400678 data_time: 0.034542 memory: 15677 loss_kpt: 0.015818 acc_pose: 0.735908 loss: 0.015818 2022/10/11 06:17:48 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:17:54 - mmengine - INFO - Epoch(train) [207][300/586] lr: 5.000000e-06 eta: 0:12:49 time: 0.400300 data_time: 0.025253 memory: 15677 loss_kpt: 0.015865 acc_pose: 0.716340 loss: 0.015865 2022/10/11 06:18:14 - mmengine - INFO - Epoch(train) [207][350/586] lr: 5.000000e-06 eta: 0:12:30 time: 0.402965 data_time: 0.025059 memory: 15677 loss_kpt: 0.015983 acc_pose: 0.708927 loss: 0.015983 2022/10/11 06:18:34 - mmengine - INFO - Epoch(train) [207][400/586] lr: 5.000000e-06 eta: 0:12:11 time: 0.399714 data_time: 0.024813 memory: 15677 loss_kpt: 0.015310 acc_pose: 0.687666 loss: 0.015310 2022/10/11 06:18:54 - mmengine - INFO - Epoch(train) [207][450/586] lr: 5.000000e-06 eta: 0:11:53 time: 0.400909 data_time: 0.025614 memory: 15677 loss_kpt: 0.015250 acc_pose: 0.786603 loss: 0.015250 2022/10/11 06:19:15 - mmengine - INFO - Epoch(train) [207][500/586] lr: 5.000000e-06 eta: 0:11:34 time: 0.403910 data_time: 0.024416 memory: 15677 loss_kpt: 0.015602 acc_pose: 0.711644 loss: 0.015602 2022/10/11 06:19:35 - mmengine - INFO - Epoch(train) [207][550/586] lr: 5.000000e-06 eta: 0:11:15 time: 0.403968 data_time: 0.025427 memory: 15677 loss_kpt: 0.015334 acc_pose: 0.714637 loss: 0.015334 2022/10/11 06:19:49 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:20:09 - mmengine - INFO - Epoch(train) [208][50/586] lr: 5.000000e-06 eta: 0:10:42 time: 0.405406 data_time: 0.035461 memory: 15677 loss_kpt: 0.015355 acc_pose: 0.720009 loss: 0.015355 2022/10/11 06:20:29 - mmengine - INFO - Epoch(train) [208][100/586] lr: 5.000000e-06 eta: 0:10:24 time: 0.398035 data_time: 0.026635 memory: 15677 loss_kpt: 0.015727 acc_pose: 0.676322 loss: 0.015727 2022/10/11 06:20:49 - mmengine - INFO - Epoch(train) [208][150/586] lr: 5.000000e-06 eta: 0:10:05 time: 0.404671 data_time: 0.024141 memory: 15677 loss_kpt: 0.015348 acc_pose: 0.695683 loss: 0.015348 2022/10/11 06:21:09 - mmengine - INFO - Epoch(train) [208][200/586] lr: 5.000000e-06 eta: 0:09:46 time: 0.403216 data_time: 0.024839 memory: 15677 loss_kpt: 0.014897 acc_pose: 0.797808 loss: 0.014897 2022/10/11 06:21:29 - mmengine - INFO - Epoch(train) [208][250/586] lr: 5.000000e-06 eta: 0:09:27 time: 0.398905 data_time: 0.025040 memory: 15677 loss_kpt: 0.015748 acc_pose: 0.794978 loss: 0.015748 2022/10/11 06:21:49 - mmengine - INFO - Epoch(train) [208][300/586] lr: 5.000000e-06 eta: 0:09:08 time: 0.398149 data_time: 0.025296 memory: 15677 loss_kpt: 0.015684 acc_pose: 0.688800 loss: 0.015684 2022/10/11 06:22:09 - mmengine - INFO - Epoch(train) [208][350/586] lr: 5.000000e-06 eta: 0:08:50 time: 0.399570 data_time: 0.024093 memory: 15677 loss_kpt: 0.015172 acc_pose: 0.730344 loss: 0.015172 2022/10/11 06:22:30 - mmengine - INFO - Epoch(train) [208][400/586] lr: 5.000000e-06 eta: 0:08:31 time: 0.409625 data_time: 0.025160 memory: 15677 loss_kpt: 0.015415 acc_pose: 0.651265 loss: 0.015415 2022/10/11 06:22:50 - mmengine - INFO - Epoch(train) [208][450/586] lr: 5.000000e-06 eta: 0:08:12 time: 0.400414 data_time: 0.024425 memory: 15677 loss_kpt: 0.015623 acc_pose: 0.744228 loss: 0.015623 2022/10/11 06:23:09 - mmengine - INFO - Epoch(train) [208][500/586] lr: 5.000000e-06 eta: 0:07:53 time: 0.394013 data_time: 0.024803 memory: 15677 loss_kpt: 0.015119 acc_pose: 0.768580 loss: 0.015119 2022/10/11 06:23:30 - mmengine - INFO - Epoch(train) [208][550/586] lr: 5.000000e-06 eta: 0:07:34 time: 0.400536 data_time: 0.026506 memory: 15677 loss_kpt: 0.015646 acc_pose: 0.741137 loss: 0.015646 2022/10/11 06:23:44 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:24:05 - mmengine - INFO - Epoch(train) [209][50/586] lr: 5.000000e-06 eta: 0:07:02 time: 0.413891 data_time: 0.031769 memory: 15677 loss_kpt: 0.015364 acc_pose: 0.806741 loss: 0.015364 2022/10/11 06:24:24 - mmengine - INFO - Epoch(train) [209][100/586] lr: 5.000000e-06 eta: 0:06:43 time: 0.397664 data_time: 0.024872 memory: 15677 loss_kpt: 0.015240 acc_pose: 0.713758 loss: 0.015240 2022/10/11 06:24:29 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:24:44 - mmengine - INFO - Epoch(train) [209][150/586] lr: 5.000000e-06 eta: 0:06:24 time: 0.395611 data_time: 0.025469 memory: 15677 loss_kpt: 0.015124 acc_pose: 0.756334 loss: 0.015124 2022/10/11 06:25:04 - mmengine - INFO - Epoch(train) [209][200/586] lr: 5.000000e-06 eta: 0:06:05 time: 0.393855 data_time: 0.024279 memory: 15677 loss_kpt: 0.015207 acc_pose: 0.693427 loss: 0.015207 2022/10/11 06:25:24 - mmengine - INFO - Epoch(train) [209][250/586] lr: 5.000000e-06 eta: 0:05:47 time: 0.402643 data_time: 0.030598 memory: 15677 loss_kpt: 0.015348 acc_pose: 0.678581 loss: 0.015348 2022/10/11 06:25:44 - mmengine - INFO - Epoch(train) [209][300/586] lr: 5.000000e-06 eta: 0:05:28 time: 0.404594 data_time: 0.026123 memory: 15677 loss_kpt: 0.015276 acc_pose: 0.734591 loss: 0.015276 2022/10/11 06:26:04 - mmengine - INFO - Epoch(train) [209][350/586] lr: 5.000000e-06 eta: 0:05:09 time: 0.395927 data_time: 0.025519 memory: 15677 loss_kpt: 0.015788 acc_pose: 0.715163 loss: 0.015788 2022/10/11 06:26:24 - mmengine - INFO - Epoch(train) [209][400/586] lr: 5.000000e-06 eta: 0:04:50 time: 0.398958 data_time: 0.026979 memory: 15677 loss_kpt: 0.015500 acc_pose: 0.723935 loss: 0.015500 2022/10/11 06:26:44 - mmengine - INFO - Epoch(train) [209][450/586] lr: 5.000000e-06 eta: 0:04:31 time: 0.399728 data_time: 0.025978 memory: 15677 loss_kpt: 0.015076 acc_pose: 0.775200 loss: 0.015076 2022/10/11 06:27:04 - mmengine - INFO - Epoch(train) [209][500/586] lr: 5.000000e-06 eta: 0:04:13 time: 0.405278 data_time: 0.026259 memory: 15677 loss_kpt: 0.015217 acc_pose: 0.672118 loss: 0.015217 2022/10/11 06:27:25 - mmengine - INFO - Epoch(train) [209][550/586] lr: 5.000000e-06 eta: 0:03:54 time: 0.401571 data_time: 0.030068 memory: 15677 loss_kpt: 0.015679 acc_pose: 0.686821 loss: 0.015679 2022/10/11 06:27:39 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:27:59 - mmengine - INFO - Epoch(train) [210][50/586] lr: 5.000000e-06 eta: 0:03:21 time: 0.402130 data_time: 0.032823 memory: 15677 loss_kpt: 0.015479 acc_pose: 0.752122 loss: 0.015479 2022/10/11 06:28:19 - mmengine - INFO - Epoch(train) [210][100/586] lr: 5.000000e-06 eta: 0:03:02 time: 0.403176 data_time: 0.026398 memory: 15677 loss_kpt: 0.015719 acc_pose: 0.739540 loss: 0.015719 2022/10/11 06:28:39 - mmengine - INFO - Epoch(train) [210][150/586] lr: 5.000000e-06 eta: 0:02:44 time: 0.403433 data_time: 0.027190 memory: 15677 loss_kpt: 0.015968 acc_pose: 0.691726 loss: 0.015968 2022/10/11 06:28:59 - mmengine - INFO - Epoch(train) [210][200/586] lr: 5.000000e-06 eta: 0:02:25 time: 0.398987 data_time: 0.029344 memory: 15677 loss_kpt: 0.015689 acc_pose: 0.589037 loss: 0.015689 2022/10/11 06:29:19 - mmengine - INFO - Epoch(train) [210][250/586] lr: 5.000000e-06 eta: 0:02:06 time: 0.396573 data_time: 0.024893 memory: 15677 loss_kpt: 0.015277 acc_pose: 0.700765 loss: 0.015277 2022/10/11 06:29:39 - mmengine - INFO - Epoch(train) [210][300/586] lr: 5.000000e-06 eta: 0:01:47 time: 0.396511 data_time: 0.027091 memory: 15677 loss_kpt: 0.015293 acc_pose: 0.770497 loss: 0.015293 2022/10/11 06:29:59 - mmengine - INFO - Epoch(train) [210][350/586] lr: 5.000000e-06 eta: 0:01:28 time: 0.407979 data_time: 0.023938 memory: 15677 loss_kpt: 0.015838 acc_pose: 0.786750 loss: 0.015838 2022/10/11 06:30:19 - mmengine - INFO - Epoch(train) [210][400/586] lr: 5.000000e-06 eta: 0:01:10 time: 0.397416 data_time: 0.023775 memory: 15677 loss_kpt: 0.015391 acc_pose: 0.686311 loss: 0.015391 2022/10/11 06:30:39 - mmengine - INFO - Epoch(train) [210][450/586] lr: 5.000000e-06 eta: 0:00:51 time: 0.395651 data_time: 0.025486 memory: 15677 loss_kpt: 0.016142 acc_pose: 0.690000 loss: 0.016142 2022/10/11 06:30:59 - mmengine - INFO - Epoch(train) [210][500/586] lr: 5.000000e-06 eta: 0:00:32 time: 0.394353 data_time: 0.024827 memory: 15677 loss_kpt: 0.015466 acc_pose: 0.762387 loss: 0.015466 2022/10/11 06:31:09 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:31:19 - mmengine - INFO - Epoch(train) [210][550/586] lr: 5.000000e-06 eta: 0:00:13 time: 0.407194 data_time: 0.030402 memory: 15677 loss_kpt: 0.015212 acc_pose: 0.710941 loss: 0.015212 2022/10/11 06:31:33 - mmengine - INFO - Exp name: td-hm_cpm_8xb32-210e_coco-384x288_20221010_160637 2022/10/11 06:31:33 - mmengine - INFO - Saving checkpoint at 210 epochs 2022/10/11 06:31:46 - mmengine - INFO - Epoch(val) [210][50/407] eta: 0:01:10 time: 0.196330 data_time: 0.014378 memory: 15677 2022/10/11 06:31:56 - mmengine - INFO - Epoch(val) [210][100/407] eta: 0:00:59 time: 0.194309 data_time: 0.012310 memory: 4213 2022/10/11 06:32:05 - mmengine - INFO - Epoch(val) [210][150/407] eta: 0:00:48 time: 0.190032 data_time: 0.008881 memory: 4213 2022/10/11 06:32:15 - mmengine - INFO - Epoch(val) [210][200/407] eta: 0:00:39 time: 0.190309 data_time: 0.009038 memory: 4213 2022/10/11 06:32:24 - mmengine - INFO - Epoch(val) [210][250/407] eta: 0:00:29 time: 0.190043 data_time: 0.009058 memory: 4213 2022/10/11 06:32:34 - mmengine - INFO - Epoch(val) [210][300/407] eta: 0:00:20 time: 0.189471 data_time: 0.008637 memory: 4213 2022/10/11 06:32:43 - mmengine - INFO - Epoch(val) [210][350/407] eta: 0:00:10 time: 0.190639 data_time: 0.008800 memory: 4213 2022/10/11 06:32:53 - mmengine - INFO - Epoch(val) [210][400/407] eta: 0:00:01 time: 0.189581 data_time: 0.008815 memory: 4213 2022/10/11 06:33:25 - mmengine - INFO - Evaluating CocoMetric... 2022/10/11 06:33:38 - mmengine - INFO - Epoch(val) [210][407/407] coco/AP: 0.651563 coco/AP .5: 0.864534 coco/AP .75: 0.729812 coco/AP (M): 0.619711 coco/AP (L): 0.716554 coco/AR: 0.710217 coco/AR .5: 0.907273 coco/AR .75: 0.781644 coco/AR (M): 0.668561 coco/AR (L): 0.770308 2022/10/11 06:33:38 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/liqikai/openmmlab/pt112cu113py38/mmpose/work_dirs/20221010/cpm_384/best_coco/AP_epoch_200.pth is removed 2022/10/11 06:33:40 - mmengine - INFO - The best checkpoint with 0.6516 coco/AP at 210 epoch is saved to best_coco/AP_epoch_210.pth.