2022/11/02 11:59:18 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.7.13 (default, Mar 29 2022, 02:18:16) [GCC 7.5.0] CUDA available: True numpy_random_seed: 1283074762 GPU 0: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/cache/share/cuda-11.1 NVCC: Cuda compilation tools, release 11.1, V11.1.74 GCC: gcc (GCC) 5.4.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - 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 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.6.0 MMEngine: 0.2.0 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: slurm Distributed training: True GPU number: 1 ------------------------------------------------------------ 2022/11/02 11:59:18 - mmengine - INFO - Config: file_client_args = dict(backend='disk') model = dict( type='DBNet', backbone=dict( type='CLIPResNet', init_cfg=dict( type='Pretrained', checkpoint= 'r50_oclip.pth')), neck=dict( type='FPNC', in_channels=[256, 512, 1024, 2048], lateral_channels=256), det_head=dict( type='DBHead', in_channels=256, module_loss=dict(type='DBModuleLoss'), postprocessor=dict(type='DBPostprocessor', text_repr_type='quad')), data_preprocessor=dict( type='TextDetDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True, pad_size_divisor=32)) train_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_bbox=True, with_polygon=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict( type='ImgAugWrapper', args=[['Fliplr', 0.5], { 'cls': 'Affine', 'rotate': [-10, 10] }, ['Resize', [0.5, 3.0]]]), dict(type='RandomCrop', min_side_ratio=0.1), dict(type='Resize', scale=(640, 640), keep_ratio=True), dict(type='Pad', size=(640, 640)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape')) ] test_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(4068, 1024), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] ic15_det_data_root = 'data/det/icdar2015' ic15_det_train = dict( type='OCRDataset', data_root='data/det/icdar2015', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_bbox=True, with_polygon=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict( type='ImgAugWrapper', args=[['Fliplr', 0.5], { 'cls': 'Affine', 'rotate': [-10, 10] }, ['Resize', [0.5, 3.0]]]), dict(type='RandomCrop', min_side_ratio=0.1), dict(type='Resize', scale=(640, 640), keep_ratio=True), dict(type='Pad', size=(640, 640)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape')) ]) ic15_det_test = dict( type='OCRDataset', data_root='data/det/icdar2015', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(4068, 1024), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) default_scope = 'mmocr' env_cfg = dict( cudnn_benchmark=True, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) randomness = dict(seed=None) default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=5), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=20, out_dir='sproject:s3://oclip'), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffer=dict(type='SyncBuffersHook'), visualization=dict( type='VisualizationHook', interval=1, enable=False, show=False, draw_gt=False, draw_pred=False)) log_level = 'INFO' log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True) load_from = None resume = False val_evaluator = dict(type='HmeanIOUMetric') test_evaluator = dict(type='HmeanIOUMetric') vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='TextDetLocalVisualizer', name='visualizer', vis_backends=[dict(type='LocalVisBackend')]) optim_wrapper = dict( type='OptimWrapper', optimizer=dict(type='SGD', lr=0.002, momentum=0.9, weight_decay=0.0001)) train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=1200, val_interval=20) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [ dict(type='LinearLR', end=100, start_factor=0.001), dict(type='PolyLR', power=0.9, eta_min=1e-07, begin=100, end=1200) ] train_dataloader = dict( batch_size=16, num_workers=24, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/icdar2015', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_bbox=True, with_polygon=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict( type='ImgAugWrapper', args=[['Fliplr', 0.5], { 'cls': 'Affine', 'rotate': [-10, 10] }, ['Resize', [0.5, 3.0]]]), dict(type='RandomCrop', min_side_ratio=0.1), dict(type='Resize', scale=(640, 640), keep_ratio=True), dict(type='Pad', size=(640, 640)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape')) ])) val_dataloader = dict( batch_size=1, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/icdar2015', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(4068, 1024), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) test_dataloader = dict( batch_size=1, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/icdar2015', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(4068, 1024), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) auto_scale_lr = dict(base_batch_size=16) launcher = 'slurm' work_dir = './work_dirs/dbnet_resnet50-oclip_1200e_icdar2015' Name of parameter - Initialization information backbone.stem.0.weight - torch.Size([32, 3, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.stem.1.weight - torch.Size([32]): PretrainedInit: load from r50_oclip.pth backbone.stem.1.bias - torch.Size([32]): PretrainedInit: load from r50_oclip.pth backbone.stem.3.weight - torch.Size([32, 32, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.stem.4.weight - torch.Size([32]): PretrainedInit: load from r50_oclip.pth backbone.stem.4.bias - torch.Size([32]): PretrainedInit: load from r50_oclip.pth backbone.stem.6.weight - torch.Size([64, 32, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.stem.7.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.stem.7.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.downsample.1.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.downsample.2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.0.downsample.2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.downsample.1.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.downsample.2.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.0.downsample.2.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.downsample.1.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.downsample.2.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.0.downsample.2.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.downsample.1.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.downsample.2.weight - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.0.downsample.2.bias - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from r50_oclip.pth neck.lateral_convs.0.conv.weight - torch.Size([256, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.1.conv.weight - torch.Size([256, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.3.conv.weight - torch.Size([256, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.smooth_convs.0.conv.weight - torch.Size([64, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.smooth_convs.1.conv.weight - torch.Size([64, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.smooth_convs.2.conv.weight - torch.Size([64, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.smooth_convs.3.conv.weight - torch.Size([64, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule det_head.binarize.0.weight - torch.Size([64, 256, 3, 3]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.3.weight - torch.Size([64, 64, 2, 2]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.3.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.6.weight - torch.Size([64, 1, 2, 2]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.6.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.0.weight - torch.Size([64, 256, 3, 3]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.3.weight - torch.Size([64, 64, 2, 2]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.3.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.6.weight - torch.Size([64, 1, 2, 2]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.6.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of DBNet 2022/11/02 12:01:34 - mmengine - INFO - Checkpoints will be saved to sproject:s3://oclip/dbnet_resnet50-oclip_1200e_icdar2015. 2022/11/02 12:09:04 - mmengine - INFO - Epoch(train) [1][5/63] lr: 2.0000e-06 memory: 48630 data_time: 87.4255 loss: 29.1074 loss_prob: 24.4840 loss_thr: 3.6348 loss_db: 0.9886 time: 89.8458 2022/11/02 12:09:06 - mmengine - INFO - Epoch(train) [1][10/63] lr: 2.0000e-06 eta: 39 days, 12:30:42 time: 45.1732 data_time: 43.7209 memory: 16390 loss: 29.4305 loss_prob: 24.7944 loss_thr: 3.6459 loss_db: 0.9902 2022/11/02 12:09:09 - mmengine - INFO - Epoch(train) [1][15/63] lr: 2.0000e-06 eta: 39 days, 12:30:42 time: 0.5199 data_time: 0.0126 memory: 16390 loss: 27.4261 loss_prob: 22.8541 loss_thr: 3.5808 loss_db: 0.9912 2022/11/02 12:09:11 - mmengine - INFO - Epoch(train) [1][20/63] lr: 2.0000e-06 eta: 19 days, 23:35:54 time: 0.5149 data_time: 0.0090 memory: 16390 loss: 24.6964 loss_prob: 20.1847 loss_thr: 3.5209 loss_db: 0.9908 2022/11/02 12:09:14 - mmengine - INFO - Epoch(train) [1][25/63] lr: 2.0000e-06 eta: 19 days, 23:35:54 time: 0.5642 data_time: 0.0328 memory: 16390 loss: 23.7730 loss_prob: 19.3580 loss_thr: 3.4246 loss_db: 0.9904 2022/11/02 12:09:18 - mmengine - INFO - Epoch(train) [1][30/63] lr: 2.0000e-06 eta: 13 days, 12:19:49 time: 0.6632 data_time: 0.0457 memory: 16390 loss: 23.1272 loss_prob: 18.7562 loss_thr: 3.3815 loss_db: 0.9895 2022/11/02 12:09:22 - mmengine - INFO - Epoch(train) [1][35/63] lr: 2.0000e-06 eta: 13 days, 12:19:49 time: 0.7270 data_time: 0.0233 memory: 16390 loss: 22.6579 loss_prob: 18.2667 loss_thr: 3.4003 loss_db: 0.9908 2022/11/02 12:09:25 - mmengine - INFO - Epoch(train) [1][40/63] lr: 2.0000e-06 eta: 10 days, 6:58:29 time: 0.7164 data_time: 0.0157 memory: 16390 loss: 21.8148 loss_prob: 17.5232 loss_thr: 3.3001 loss_db: 0.9915 2022/11/02 12:09:28 - mmengine - INFO - Epoch(train) [1][45/63] lr: 2.0000e-06 eta: 10 days, 6:58:29 time: 0.6505 data_time: 0.0136 memory: 16390 loss: 21.2489 loss_prob: 16.9667 loss_thr: 3.2903 loss_db: 0.9918 2022/11/02 12:09:31 - mmengine - INFO - Epoch(train) [1][50/63] lr: 2.0000e-06 eta: 8 days, 8:08:54 time: 0.6183 data_time: 0.0189 memory: 16390 loss: 20.7720 loss_prob: 16.4874 loss_thr: 3.2918 loss_db: 0.9927 2022/11/02 12:09:34 - mmengine - INFO - Epoch(train) [1][55/63] lr: 2.0000e-06 eta: 8 days, 8:08:54 time: 0.5764 data_time: 0.0191 memory: 16390 loss: 20.2360 loss_prob: 16.0012 loss_thr: 3.2429 loss_db: 0.9919 2022/11/02 12:09:37 - mmengine - INFO - Epoch(train) [1][60/63] lr: 2.0000e-06 eta: 7 days, 0:36:45 time: 0.5273 data_time: 0.0093 memory: 16390 loss: 19.8351 loss_prob: 15.6175 loss_thr: 3.2261 loss_db: 0.9915 2022/11/02 12:09:46 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:09:53 - mmengine - INFO - Epoch(train) [2][5/63] lr: 2.2182e-05 eta: 7 days, 0:36:45 time: 1.7200 data_time: 0.2394 memory: 41121 loss: 19.0728 loss_prob: 14.9976 loss_thr: 3.0854 loss_db: 0.9898 2022/11/02 12:09:55 - mmengine - INFO - Epoch(train) [2][10/63] lr: 2.2182e-05 eta: 5 days, 21:10:30 time: 0.9093 data_time: 0.2387 memory: 16390 loss: 18.2203 loss_prob: 14.2311 loss_thr: 2.9995 loss_db: 0.9898 2022/11/02 12:09:59 - mmengine - INFO - Epoch(train) [2][15/63] lr: 2.2182e-05 eta: 5 days, 21:10:30 time: 0.5820 data_time: 0.0048 memory: 16390 loss: 16.8602 loss_prob: 13.0197 loss_thr: 2.8499 loss_db: 0.9906 2022/11/02 12:10:02 - mmengine - INFO - Epoch(train) [2][20/63] lr: 2.2182e-05 eta: 5 days, 5:43:39 time: 0.6244 data_time: 0.0058 memory: 16390 loss: 15.7286 loss_prob: 12.0035 loss_thr: 2.7347 loss_db: 0.9904 2022/11/02 12:10:05 - mmengine - INFO - Epoch(train) [2][25/63] lr: 2.2182e-05 eta: 5 days, 5:43:39 time: 0.6394 data_time: 0.0391 memory: 16390 loss: 14.8327 loss_prob: 11.1903 loss_thr: 2.6529 loss_db: 0.9894 2022/11/02 12:10:08 - mmengine - INFO - Epoch(train) [2][30/63] lr: 2.2182e-05 eta: 4 days, 17:31:41 time: 0.5917 data_time: 0.0379 memory: 16390 loss: 14.1002 loss_prob: 10.5500 loss_thr: 2.5593 loss_db: 0.9909 2022/11/02 12:10:11 - mmengine - INFO - Epoch(train) [2][35/63] lr: 2.2182e-05 eta: 4 days, 17:31:41 time: 0.5789 data_time: 0.0046 memory: 16390 loss: 13.3044 loss_prob: 9.8978 loss_thr: 2.4175 loss_db: 0.9891 2022/11/02 12:10:13 - mmengine - INFO - Epoch(train) [2][40/63] lr: 2.2182e-05 eta: 4 days, 7:40:01 time: 0.5769 data_time: 0.0048 memory: 16390 loss: 12.7038 loss_prob: 9.3990 loss_thr: 2.3168 loss_db: 0.9880 2022/11/02 12:10:16 - mmengine - INFO - Epoch(train) [2][45/63] lr: 2.2182e-05 eta: 4 days, 7:40:01 time: 0.5299 data_time: 0.0230 memory: 16390 loss: 12.2151 loss_prob: 8.9478 loss_thr: 2.2789 loss_db: 0.9884 2022/11/02 12:10:19 - mmengine - INFO - Epoch(train) [2][50/63] lr: 2.2182e-05 eta: 3 days, 23:26:54 time: 0.5216 data_time: 0.0227 memory: 16390 loss: 11.8019 loss_prob: 8.5240 loss_thr: 2.2911 loss_db: 0.9868 2022/11/02 12:10:21 - mmengine - INFO - Epoch(train) [2][55/63] lr: 2.2182e-05 eta: 3 days, 23:26:54 time: 0.5103 data_time: 0.0044 memory: 16390 loss: 11.3720 loss_prob: 8.1328 loss_thr: 2.2531 loss_db: 0.9861 2022/11/02 12:10:24 - mmengine - INFO - Epoch(train) [2][60/63] lr: 2.2182e-05 eta: 3 days, 16:32:58 time: 0.5120 data_time: 0.0048 memory: 16390 loss: 10.7984 loss_prob: 7.6902 loss_thr: 2.1206 loss_db: 0.9876 2022/11/02 12:10:25 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:10:30 - mmengine - INFO - Epoch(train) [3][5/63] lr: 4.2364e-05 eta: 3 days, 16:32:58 time: 0.7809 data_time: 0.2038 memory: 16390 loss: 10.2493 loss_prob: 7.2661 loss_thr: 1.9945 loss_db: 0.9887 2022/11/02 12:10:33 - mmengine - INFO - Epoch(train) [3][10/63] lr: 4.2364e-05 eta: 3 days, 9:16:39 time: 0.7826 data_time: 0.2071 memory: 16390 loss: 9.9393 loss_prob: 6.9866 loss_thr: 1.9659 loss_db: 0.9868 2022/11/02 12:10:36 - mmengine - INFO - Epoch(train) [3][15/63] lr: 4.2364e-05 eta: 3 days, 9:16:39 time: 0.5147 data_time: 0.0085 memory: 16390 loss: 9.5285 loss_prob: 6.6793 loss_thr: 1.8629 loss_db: 0.9863 2022/11/02 12:10:38 - mmengine - INFO - Epoch(train) [3][20/63] lr: 4.2364e-05 eta: 3 days, 4:27:15 time: 0.5250 data_time: 0.0046 memory: 16390 loss: 9.1332 loss_prob: 6.3436 loss_thr: 1.8030 loss_db: 0.9866 2022/11/02 12:10:41 - mmengine - INFO - Epoch(train) [3][25/63] lr: 4.2364e-05 eta: 3 days, 4:27:15 time: 0.5450 data_time: 0.0238 memory: 16390 loss: 8.7191 loss_prob: 5.9985 loss_thr: 1.7347 loss_db: 0.9859 2022/11/02 12:10:44 - mmengine - INFO - Epoch(train) [3][30/63] lr: 4.2364e-05 eta: 3 days, 0:17:07 time: 0.5520 data_time: 0.0318 memory: 16390 loss: 8.4062 loss_prob: 5.7603 loss_thr: 1.6596 loss_db: 0.9863 2022/11/02 12:10:46 - mmengine - INFO - Epoch(train) [3][35/63] lr: 4.2364e-05 eta: 3 days, 0:17:07 time: 0.5290 data_time: 0.0127 memory: 16390 loss: 8.1312 loss_prob: 5.5443 loss_thr: 1.5995 loss_db: 0.9874 2022/11/02 12:10:49 - mmengine - INFO - Epoch(train) [3][40/63] lr: 4.2364e-05 eta: 2 days, 20:32:58 time: 0.4971 data_time: 0.0052 memory: 16390 loss: 7.8553 loss_prob: 5.3242 loss_thr: 1.5447 loss_db: 0.9863 2022/11/02 12:10:51 - mmengine - INFO - Epoch(train) [3][45/63] lr: 4.2364e-05 eta: 2 days, 20:32:58 time: 0.5029 data_time: 0.0056 memory: 16390 loss: 7.6374 loss_prob: 5.1214 loss_thr: 1.5310 loss_db: 0.9849 2022/11/02 12:10:54 - mmengine - INFO - Epoch(train) [3][50/63] lr: 4.2364e-05 eta: 2 days, 17:17:20 time: 0.5401 data_time: 0.0214 memory: 16390 loss: 7.4959 loss_prob: 5.0001 loss_thr: 1.5098 loss_db: 0.9859 2022/11/02 12:10:57 - mmengine - INFO - Epoch(train) [3][55/63] lr: 4.2364e-05 eta: 2 days, 17:17:20 time: 0.5857 data_time: 0.0247 memory: 16390 loss: 7.4266 loss_prob: 4.9320 loss_thr: 1.5111 loss_db: 0.9836 2022/11/02 12:11:01 - mmengine - INFO - Epoch(train) [3][60/63] lr: 4.2364e-05 eta: 2 days, 14:29:53 time: 0.6460 data_time: 0.0107 memory: 16390 loss: 7.3488 loss_prob: 4.8601 loss_thr: 1.5061 loss_db: 0.9826 2022/11/02 12:11:02 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:11:07 - mmengine - INFO - Epoch(train) [4][5/63] lr: 6.2545e-05 eta: 2 days, 14:29:53 time: 0.7347 data_time: 0.1966 memory: 16390 loss: 7.1617 loss_prob: 4.7003 loss_thr: 1.4796 loss_db: 0.9817 2022/11/02 12:11:10 - mmengine - INFO - Epoch(train) [4][10/63] lr: 6.2545e-05 eta: 2 days, 11:13:30 time: 0.7789 data_time: 0.2029 memory: 16390 loss: 7.0971 loss_prob: 4.6495 loss_thr: 1.4670 loss_db: 0.9807 2022/11/02 12:11:13 - mmengine - INFO - Epoch(train) [4][15/63] lr: 6.2545e-05 eta: 2 days, 11:13:30 time: 0.5917 data_time: 0.0123 memory: 16390 loss: 6.9984 loss_prob: 4.5762 loss_thr: 1.4409 loss_db: 0.9814 2022/11/02 12:11:16 - mmengine - INFO - Epoch(train) [4][20/63] lr: 6.2545e-05 eta: 2 days, 8:57:03 time: 0.5659 data_time: 0.0046 memory: 16390 loss: 6.8578 loss_prob: 4.4653 loss_thr: 1.4080 loss_db: 0.9846 2022/11/02 12:11:19 - mmengine - INFO - Epoch(train) [4][25/63] lr: 6.2545e-05 eta: 2 days, 8:57:03 time: 0.5731 data_time: 0.0221 memory: 16390 loss: 6.7430 loss_prob: 4.3881 loss_thr: 1.3716 loss_db: 0.9833 2022/11/02 12:11:21 - mmengine - INFO - Epoch(train) [4][30/63] lr: 6.2545e-05 eta: 2 days, 6:52:53 time: 0.5629 data_time: 0.0342 memory: 16390 loss: 6.7085 loss_prob: 4.3375 loss_thr: 1.3875 loss_db: 0.9834 2022/11/02 12:11:24 - mmengine - INFO - Epoch(train) [4][35/63] lr: 6.2545e-05 eta: 2 days, 6:52:53 time: 0.5218 data_time: 0.0200 memory: 16390 loss: 6.7521 loss_prob: 4.3491 loss_thr: 1.4173 loss_db: 0.9857 2022/11/02 12:11:26 - mmengine - INFO - Epoch(train) [4][40/63] lr: 6.2545e-05 eta: 2 days, 4:56:52 time: 0.5140 data_time: 0.0081 memory: 16390 loss: 6.6590 loss_prob: 4.2778 loss_thr: 1.3990 loss_db: 0.9822 2022/11/02 12:11:29 - mmengine - INFO - Epoch(train) [4][45/63] lr: 6.2545e-05 eta: 2 days, 4:56:52 time: 0.5160 data_time: 0.0102 memory: 16390 loss: 6.4850 loss_prob: 4.1499 loss_thr: 1.3536 loss_db: 0.9815 2022/11/02 12:11:32 - mmengine - INFO - Epoch(train) [4][50/63] lr: 6.2545e-05 eta: 2 days, 3:12:05 time: 0.5433 data_time: 0.0217 memory: 16390 loss: 6.3890 loss_prob: 4.0792 loss_thr: 1.3258 loss_db: 0.9840 2022/11/02 12:11:35 - mmengine - INFO - Epoch(train) [4][55/63] lr: 6.2545e-05 eta: 2 days, 3:12:05 time: 0.5909 data_time: 0.0228 memory: 16390 loss: 6.3791 loss_prob: 4.0320 loss_thr: 1.3632 loss_db: 0.9840 2022/11/02 12:11:37 - mmengine - INFO - Epoch(train) [4][60/63] lr: 6.2545e-05 eta: 2 days, 1:36:48 time: 0.5648 data_time: 0.0123 memory: 16390 loss: 6.3447 loss_prob: 3.9922 loss_thr: 1.3653 loss_db: 0.9872 2022/11/02 12:11:39 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:11:44 - mmengine - INFO - Epoch(train) [5][5/63] lr: 8.2727e-05 eta: 2 days, 1:36:48 time: 0.7565 data_time: 0.2152 memory: 16390 loss: 6.1473 loss_prob: 3.8672 loss_thr: 1.2958 loss_db: 0.9843 2022/11/02 12:11:47 - mmengine - INFO - Epoch(train) [5][10/63] lr: 8.2727e-05 eta: 1 day, 23:45:25 time: 0.7679 data_time: 0.2154 memory: 16390 loss: 6.1401 loss_prob: 3.8507 loss_thr: 1.3038 loss_db: 0.9855 2022/11/02 12:11:49 - mmengine - INFO - Epoch(train) [5][15/63] lr: 8.2727e-05 eta: 1 day, 23:45:25 time: 0.5285 data_time: 0.0058 memory: 16390 loss: 6.1034 loss_prob: 3.8199 loss_thr: 1.3016 loss_db: 0.9819 2022/11/02 12:11:53 - mmengine - INFO - Epoch(train) [5][20/63] lr: 8.2727e-05 eta: 1 day, 22:27:36 time: 0.6044 data_time: 0.0081 memory: 16390 loss: 6.0595 loss_prob: 3.7764 loss_thr: 1.3019 loss_db: 0.9812 2022/11/02 12:11:57 - mmengine - INFO - Epoch(train) [5][25/63] lr: 8.2727e-05 eta: 1 day, 22:27:36 time: 0.7297 data_time: 0.0260 memory: 16390 loss: 6.0074 loss_prob: 3.7342 loss_thr: 1.2887 loss_db: 0.9845 2022/11/02 12:12:00 - mmengine - INFO - Epoch(train) [5][30/63] lr: 8.2727e-05 eta: 1 day, 21:21:47 time: 0.7504 data_time: 0.0410 memory: 16390 loss: 5.9541 loss_prob: 3.6967 loss_thr: 1.2718 loss_db: 0.9856 2022/11/02 12:12:03 - mmengine - INFO - Epoch(train) [5][35/63] lr: 8.2727e-05 eta: 1 day, 21:21:47 time: 0.6297 data_time: 0.0226 memory: 16390 loss: 5.9247 loss_prob: 3.6523 loss_thr: 1.2862 loss_db: 0.9862 2022/11/02 12:12:06 - mmengine - INFO - Epoch(train) [5][40/63] lr: 8.2727e-05 eta: 1 day, 20:12:26 time: 0.5630 data_time: 0.0078 memory: 16390 loss: 5.9250 loss_prob: 3.6143 loss_thr: 1.3246 loss_db: 0.9861 2022/11/02 12:12:09 - mmengine - INFO - Epoch(train) [5][45/63] lr: 8.2727e-05 eta: 1 day, 20:12:26 time: 0.6136 data_time: 0.0091 memory: 16390 loss: 5.9233 loss_prob: 3.6289 loss_thr: 1.3093 loss_db: 0.9851 2022/11/02 12:12:12 - mmengine - INFO - Epoch(train) [5][50/63] lr: 8.2727e-05 eta: 1 day, 19:12:25 time: 0.6776 data_time: 0.0241 memory: 16390 loss: 5.9668 loss_prob: 3.6743 loss_thr: 1.3082 loss_db: 0.9843 2022/11/02 12:12:16 - mmengine - INFO - Epoch(train) [5][55/63] lr: 8.2727e-05 eta: 1 day, 19:12:25 time: 0.6591 data_time: 0.0345 memory: 16390 loss: 5.9406 loss_prob: 3.6463 loss_thr: 1.3098 loss_db: 0.9845 2022/11/02 12:12:20 - mmengine - INFO - Epoch(train) [5][60/63] lr: 8.2727e-05 eta: 1 day, 18:17:14 time: 0.7023 data_time: 0.0166 memory: 16390 loss: 5.8701 loss_prob: 3.6145 loss_thr: 1.2681 loss_db: 0.9875 2022/11/02 12:12:21 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:12:27 - mmengine - INFO - Epoch(train) [6][5/63] lr: 1.0291e-04 eta: 1 day, 18:17:14 time: 0.8839 data_time: 0.1894 memory: 16390 loss: 5.8556 loss_prob: 3.5781 loss_thr: 1.2894 loss_db: 0.9880 2022/11/02 12:12:30 - mmengine - INFO - Epoch(train) [6][10/63] lr: 1.0291e-04 eta: 1 day, 17:08:12 time: 0.8514 data_time: 0.1897 memory: 16390 loss: 5.8183 loss_prob: 3.5389 loss_thr: 1.2906 loss_db: 0.9888 2022/11/02 12:12:33 - mmengine - INFO - Epoch(train) [6][15/63] lr: 1.0291e-04 eta: 1 day, 17:08:12 time: 0.5939 data_time: 0.0128 memory: 16390 loss: 5.6706 loss_prob: 3.4354 loss_thr: 1.2473 loss_db: 0.9880 2022/11/02 12:12:35 - mmengine - INFO - Epoch(train) [6][20/63] lr: 1.0291e-04 eta: 1 day, 16:16:04 time: 0.5839 data_time: 0.0124 memory: 16390 loss: 5.5940 loss_prob: 3.3698 loss_thr: 1.2370 loss_db: 0.9872 2022/11/02 12:12:39 - mmengine - INFO - Epoch(train) [6][25/63] lr: 1.0291e-04 eta: 1 day, 16:16:04 time: 0.5844 data_time: 0.0082 memory: 16390 loss: 5.6549 loss_prob: 3.3708 loss_thr: 1.2954 loss_db: 0.9887 2022/11/02 12:12:42 - mmengine - INFO - Epoch(train) [6][30/63] lr: 1.0291e-04 eta: 1 day, 15:28:00 time: 0.6129 data_time: 0.0264 memory: 16390 loss: 5.6365 loss_prob: 3.3519 loss_thr: 1.2933 loss_db: 0.9914 2022/11/02 12:12:45 - mmengine - INFO - Epoch(train) [6][35/63] lr: 1.0291e-04 eta: 1 day, 15:28:00 time: 0.6011 data_time: 0.0229 memory: 16390 loss: 5.5421 loss_prob: 3.3087 loss_thr: 1.2411 loss_db: 0.9923 2022/11/02 12:12:48 - mmengine - INFO - Epoch(train) [6][40/63] lr: 1.0291e-04 eta: 1 day, 14:42:08 time: 0.5983 data_time: 0.0131 memory: 16390 loss: 5.5062 loss_prob: 3.2840 loss_thr: 1.2311 loss_db: 0.9910 2022/11/02 12:12:50 - mmengine - INFO - Epoch(train) [6][45/63] lr: 1.0291e-04 eta: 1 day, 14:42:08 time: 0.5567 data_time: 0.0133 memory: 16390 loss: 5.4523 loss_prob: 3.2532 loss_thr: 1.2079 loss_db: 0.9912 2022/11/02 12:12:53 - mmengine - INFO - Epoch(train) [6][50/63] lr: 1.0291e-04 eta: 1 day, 13:56:28 time: 0.5315 data_time: 0.0094 memory: 16390 loss: 5.4748 loss_prob: 3.2611 loss_thr: 1.2215 loss_db: 0.9922 2022/11/02 12:12:56 - mmengine - INFO - Epoch(train) [6][55/63] lr: 1.0291e-04 eta: 1 day, 13:56:28 time: 0.5410 data_time: 0.0207 memory: 16390 loss: 5.4748 loss_prob: 3.2371 loss_thr: 1.2453 loss_db: 0.9924 2022/11/02 12:12:58 - mmengine - INFO - Epoch(train) [6][60/63] lr: 1.0291e-04 eta: 1 day, 13:13:08 time: 0.5286 data_time: 0.0163 memory: 16390 loss: 5.4932 loss_prob: 3.2304 loss_thr: 1.2705 loss_db: 0.9923 2022/11/02 12:12:59 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:13:04 - mmengine - INFO - Epoch(train) [7][5/63] lr: 1.2309e-04 eta: 1 day, 13:13:08 time: 0.7275 data_time: 0.2359 memory: 16390 loss: 5.5951 loss_prob: 3.3252 loss_thr: 1.2753 loss_db: 0.9946 2022/11/02 12:13:07 - mmengine - INFO - Epoch(train) [7][10/63] lr: 1.2309e-04 eta: 1 day, 12:23:30 time: 0.7911 data_time: 0.2344 memory: 16390 loss: 5.7205 loss_prob: 3.4157 loss_thr: 1.3101 loss_db: 0.9947 2022/11/02 12:13:10 - mmengine - INFO - Epoch(train) [7][15/63] lr: 1.2309e-04 eta: 1 day, 12:23:30 time: 0.5512 data_time: 0.0053 memory: 16390 loss: 5.6741 loss_prob: 3.3820 loss_thr: 1.2974 loss_db: 0.9948 2022/11/02 12:13:12 - mmengine - INFO - Epoch(train) [7][20/63] lr: 1.2309e-04 eta: 1 day, 11:44:08 time: 0.5009 data_time: 0.0049 memory: 16390 loss: 5.5314 loss_prob: 3.2898 loss_thr: 1.2458 loss_db: 0.9958 2022/11/02 12:13:15 - mmengine - INFO - Epoch(train) [7][25/63] lr: 1.2309e-04 eta: 1 day, 11:44:08 time: 0.5168 data_time: 0.0254 memory: 16390 loss: 5.4599 loss_prob: 3.2168 loss_thr: 1.2465 loss_db: 0.9966 2022/11/02 12:13:18 - mmengine - INFO - Epoch(train) [7][30/63] lr: 1.2309e-04 eta: 1 day, 11:08:59 time: 0.5756 data_time: 0.0579 memory: 16390 loss: 5.4384 loss_prob: 3.1912 loss_thr: 1.2500 loss_db: 0.9972 2022/11/02 12:13:21 - mmengine - INFO - Epoch(train) [7][35/63] lr: 1.2309e-04 eta: 1 day, 11:08:59 time: 0.5959 data_time: 0.0371 memory: 16390 loss: 5.4035 loss_prob: 3.1802 loss_thr: 1.2258 loss_db: 0.9976 2022/11/02 12:13:24 - mmengine - INFO - Epoch(train) [7][40/63] lr: 1.2309e-04 eta: 1 day, 10:35:38 time: 0.5797 data_time: 0.0047 memory: 16390 loss: 5.3933 loss_prob: 3.1653 loss_thr: 1.2309 loss_db: 0.9971 2022/11/02 12:13:27 - mmengine - INFO - Epoch(train) [7][45/63] lr: 1.2309e-04 eta: 1 day, 10:35:38 time: 0.5432 data_time: 0.0054 memory: 16390 loss: 5.3677 loss_prob: 3.1330 loss_thr: 1.2374 loss_db: 0.9973 2022/11/02 12:13:29 - mmengine - INFO - Epoch(train) [7][50/63] lr: 1.2309e-04 eta: 1 day, 10:02:43 time: 0.5414 data_time: 0.0164 memory: 16390 loss: 5.3578 loss_prob: 3.1170 loss_thr: 1.2454 loss_db: 0.9954 2022/11/02 12:13:32 - mmengine - INFO - Epoch(train) [7][55/63] lr: 1.2309e-04 eta: 1 day, 10:02:43 time: 0.5591 data_time: 0.0233 memory: 16390 loss: 5.3415 loss_prob: 3.1087 loss_thr: 1.2372 loss_db: 0.9956 2022/11/02 12:13:35 - mmengine - INFO - Epoch(train) [7][60/63] lr: 1.2309e-04 eta: 1 day, 9:31:21 time: 0.5429 data_time: 0.0148 memory: 16390 loss: 5.2826 loss_prob: 3.0821 loss_thr: 1.2026 loss_db: 0.9978 2022/11/02 12:13:36 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:13:41 - mmengine - INFO - Epoch(train) [8][5/63] lr: 1.4327e-04 eta: 1 day, 9:31:21 time: 0.7253 data_time: 0.1876 memory: 16390 loss: 5.2889 loss_prob: 3.0625 loss_thr: 1.2293 loss_db: 0.9972 2022/11/02 12:13:44 - mmengine - INFO - Epoch(train) [8][10/63] lr: 1.4327e-04 eta: 1 day, 8:54:19 time: 0.7668 data_time: 0.2176 memory: 16390 loss: 5.2627 loss_prob: 3.0435 loss_thr: 1.2209 loss_db: 0.9983 2022/11/02 12:13:46 - mmengine - INFO - Epoch(train) [8][15/63] lr: 1.4327e-04 eta: 1 day, 8:54:19 time: 0.5150 data_time: 0.0352 memory: 16390 loss: 5.2517 loss_prob: 3.0537 loss_thr: 1.1997 loss_db: 0.9983 2022/11/02 12:13:49 - mmengine - INFO - Epoch(train) [8][20/63] lr: 1.4327e-04 eta: 1 day, 8:24:40 time: 0.4941 data_time: 0.0048 memory: 16390 loss: 5.2523 loss_prob: 3.0362 loss_thr: 1.2179 loss_db: 0.9982 2022/11/02 12:13:51 - mmengine - INFO - Epoch(train) [8][25/63] lr: 1.4327e-04 eta: 1 day, 8:24:40 time: 0.5039 data_time: 0.0043 memory: 16390 loss: 5.2738 loss_prob: 3.0290 loss_thr: 1.2464 loss_db: 0.9984 2022/11/02 12:13:54 - mmengine - INFO - Epoch(train) [8][30/63] lr: 1.4327e-04 eta: 1 day, 7:57:35 time: 0.5439 data_time: 0.0044 memory: 16390 loss: 5.3286 loss_prob: 3.0775 loss_thr: 1.2525 loss_db: 0.9987 2022/11/02 12:13:57 - mmengine - INFO - Epoch(train) [8][35/63] lr: 1.4327e-04 eta: 1 day, 7:57:35 time: 0.5778 data_time: 0.0202 memory: 16390 loss: 5.2975 loss_prob: 3.0606 loss_thr: 1.2381 loss_db: 0.9988 2022/11/02 12:14:00 - mmengine - INFO - Epoch(train) [8][40/63] lr: 1.4327e-04 eta: 1 day, 7:31:44 time: 0.5484 data_time: 0.0211 memory: 16390 loss: 5.2308 loss_prob: 3.0194 loss_thr: 1.2132 loss_db: 0.9982 2022/11/02 12:14:02 - mmengine - INFO - Epoch(train) [8][45/63] lr: 1.4327e-04 eta: 1 day, 7:31:44 time: 0.5035 data_time: 0.0053 memory: 16390 loss: 5.2149 loss_prob: 3.0237 loss_thr: 1.1931 loss_db: 0.9981 2022/11/02 12:14:05 - mmengine - INFO - Epoch(train) [8][50/63] lr: 1.4327e-04 eta: 1 day, 7:06:16 time: 0.5222 data_time: 0.0045 memory: 16390 loss: 5.1937 loss_prob: 3.0046 loss_thr: 1.1903 loss_db: 0.9988 2022/11/02 12:14:07 - mmengine - INFO - Epoch(train) [8][55/63] lr: 1.4327e-04 eta: 1 day, 7:06:16 time: 0.5300 data_time: 0.0059 memory: 16390 loss: 5.1671 loss_prob: 2.9841 loss_thr: 1.1843 loss_db: 0.9987 2022/11/02 12:14:10 - mmengine - INFO - Epoch(train) [8][60/63] lr: 1.4327e-04 eta: 1 day, 6:42:13 time: 0.5375 data_time: 0.0176 memory: 16390 loss: 5.1719 loss_prob: 2.9860 loss_thr: 1.1873 loss_db: 0.9985 2022/11/02 12:14:12 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:14:16 - mmengine - INFO - Epoch(train) [9][5/63] lr: 1.6345e-04 eta: 1 day, 6:42:13 time: 0.7058 data_time: 0.1919 memory: 16390 loss: 5.2058 loss_prob: 3.0107 loss_thr: 1.1957 loss_db: 0.9994 2022/11/02 12:14:19 - mmengine - INFO - Epoch(train) [9][10/63] lr: 1.6345e-04 eta: 1 day, 6:13:09 time: 0.7326 data_time: 0.1963 memory: 16390 loss: 5.1882 loss_prob: 3.0055 loss_thr: 1.1838 loss_db: 0.9990 2022/11/02 12:14:22 - mmengine - INFO - Epoch(train) [9][15/63] lr: 1.6345e-04 eta: 1 day, 6:13:09 time: 0.5539 data_time: 0.0111 memory: 16390 loss: 5.1542 loss_prob: 2.9931 loss_thr: 1.1623 loss_db: 0.9988 2022/11/02 12:14:24 - mmengine - INFO - Epoch(train) [9][20/63] lr: 1.6345e-04 eta: 1 day, 5:51:14 time: 0.5412 data_time: 0.0074 memory: 16390 loss: 5.1671 loss_prob: 3.0146 loss_thr: 1.1548 loss_db: 0.9977 2022/11/02 12:14:28 - mmengine - INFO - Epoch(train) [9][25/63] lr: 1.6345e-04 eta: 1 day, 5:51:14 time: 0.6039 data_time: 0.0237 memory: 16390 loss: 5.2165 loss_prob: 3.0603 loss_thr: 1.1588 loss_db: 0.9974 2022/11/02 12:14:31 - mmengine - INFO - Epoch(train) [9][30/63] lr: 1.6345e-04 eta: 1 day, 5:32:17 time: 0.6328 data_time: 0.0328 memory: 16390 loss: 5.1930 loss_prob: 3.0357 loss_thr: 1.1598 loss_db: 0.9974 2022/11/02 12:14:35 - mmengine - INFO - Epoch(train) [9][35/63] lr: 1.6345e-04 eta: 1 day, 5:32:17 time: 0.6974 data_time: 0.0246 memory: 16390 loss: 5.1393 loss_prob: 2.9889 loss_thr: 1.1530 loss_db: 0.9973 2022/11/02 12:14:38 - mmengine - INFO - Epoch(train) [9][40/63] lr: 1.6345e-04 eta: 1 day, 5:15:42 time: 0.7058 data_time: 0.0161 memory: 16390 loss: 5.1233 loss_prob: 2.9780 loss_thr: 1.1473 loss_db: 0.9980 2022/11/02 12:14:42 - mmengine - INFO - Epoch(train) [9][45/63] lr: 1.6345e-04 eta: 1 day, 5:15:42 time: 0.6874 data_time: 0.0080 memory: 16390 loss: 5.0995 loss_prob: 2.9537 loss_thr: 1.1489 loss_db: 0.9969 2022/11/02 12:14:45 - mmengine - INFO - Epoch(train) [9][50/63] lr: 1.6345e-04 eta: 1 day, 4:59:49 time: 0.7109 data_time: 0.0162 memory: 16390 loss: 5.0918 loss_prob: 2.9358 loss_thr: 1.1598 loss_db: 0.9962 2022/11/02 12:14:48 - mmengine - INFO - Epoch(train) [9][55/63] lr: 1.6345e-04 eta: 1 day, 4:59:49 time: 0.6796 data_time: 0.0221 memory: 16390 loss: 5.1022 loss_prob: 2.9473 loss_thr: 1.1574 loss_db: 0.9975 2022/11/02 12:14:51 - mmengine - INFO - Epoch(train) [9][60/63] lr: 1.6345e-04 eta: 1 day, 4:43:25 time: 0.6617 data_time: 0.0121 memory: 16390 loss: 5.0799 loss_prob: 2.9447 loss_thr: 1.1369 loss_db: 0.9984 2022/11/02 12:14:53 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:14:58 - mmengine - INFO - Epoch(train) [10][5/63] lr: 1.8364e-04 eta: 1 day, 4:43:25 time: 0.7986 data_time: 0.2590 memory: 16390 loss: 5.0503 loss_prob: 2.9303 loss_thr: 1.1238 loss_db: 0.9962 2022/11/02 12:15:02 - mmengine - INFO - Epoch(train) [10][10/63] lr: 1.8364e-04 eta: 1 day, 4:24:00 time: 0.9093 data_time: 0.2549 memory: 16390 loss: 5.0455 loss_prob: 2.9183 loss_thr: 1.1329 loss_db: 0.9943 2022/11/02 12:15:06 - mmengine - INFO - Epoch(train) [10][15/63] lr: 1.8364e-04 eta: 1 day, 4:24:00 time: 0.7743 data_time: 0.0097 memory: 16390 loss: 5.4886 loss_prob: 3.1549 loss_thr: 1.3423 loss_db: 0.9914 2022/11/02 12:15:10 - mmengine - INFO - Epoch(train) [10][20/63] lr: 1.8364e-04 eta: 1 day, 4:11:12 time: 0.7725 data_time: 0.0094 memory: 16390 loss: 5.7733 loss_prob: 3.3539 loss_thr: 1.4255 loss_db: 0.9939 2022/11/02 12:15:13 - mmengine - INFO - Epoch(train) [10][25/63] lr: 1.8364e-04 eta: 1 day, 4:11:12 time: 0.7163 data_time: 0.0285 memory: 16390 loss: 5.5898 loss_prob: 3.2907 loss_thr: 1.3016 loss_db: 0.9975 2022/11/02 12:15:18 - mmengine - INFO - Epoch(train) [10][30/63] lr: 1.8364e-04 eta: 1 day, 3:59:13 time: 0.7913 data_time: 0.0346 memory: 16390 loss: 5.5555 loss_prob: 3.2678 loss_thr: 1.2898 loss_db: 0.9980 2022/11/02 12:15:21 - mmengine - INFO - Epoch(train) [10][35/63] lr: 1.8364e-04 eta: 1 day, 3:59:13 time: 0.7765 data_time: 0.0105 memory: 16390 loss: 5.4528 loss_prob: 3.2229 loss_thr: 1.2306 loss_db: 0.9992 2022/11/02 12:15:24 - mmengine - INFO - Epoch(train) [10][40/63] lr: 1.8364e-04 eta: 1 day, 3:45:15 time: 0.6760 data_time: 0.0043 memory: 16390 loss: 5.3394 loss_prob: 3.1581 loss_thr: 1.1818 loss_db: 0.9996 2022/11/02 12:15:27 - mmengine - INFO - Epoch(train) [10][45/63] lr: 1.8364e-04 eta: 1 day, 3:45:15 time: 0.6368 data_time: 0.0042 memory: 16390 loss: 5.2889 loss_prob: 3.0860 loss_thr: 1.2037 loss_db: 0.9992 2022/11/02 12:15:30 - mmengine - INFO - Epoch(train) [10][50/63] lr: 1.8364e-04 eta: 1 day, 3:29:43 time: 0.5757 data_time: 0.0174 memory: 16390 loss: 5.2243 loss_prob: 3.0325 loss_thr: 1.1931 loss_db: 0.9987 2022/11/02 12:15:33 - mmengine - INFO - Epoch(train) [10][55/63] lr: 1.8364e-04 eta: 1 day, 3:29:43 time: 0.5397 data_time: 0.0204 memory: 16390 loss: 5.2325 loss_prob: 3.0218 loss_thr: 1.2124 loss_db: 0.9983 2022/11/02 12:15:35 - mmengine - INFO - Epoch(train) [10][60/63] lr: 1.8364e-04 eta: 1 day, 3:13:46 time: 0.5312 data_time: 0.0102 memory: 16390 loss: 5.2081 loss_prob: 2.9995 loss_thr: 1.2096 loss_db: 0.9989 2022/11/02 12:15:37 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:15:42 - mmengine - INFO - Epoch(train) [11][5/63] lr: 2.0382e-04 eta: 1 day, 3:13:46 time: 0.7408 data_time: 0.2048 memory: 16390 loss: 5.1341 loss_prob: 2.9604 loss_thr: 1.1744 loss_db: 0.9993 2022/11/02 12:15:45 - mmengine - INFO - Epoch(train) [11][10/63] lr: 2.0382e-04 eta: 1 day, 2:55:31 time: 0.7789 data_time: 0.2125 memory: 16390 loss: 5.1016 loss_prob: 2.9479 loss_thr: 1.1546 loss_db: 0.9991 2022/11/02 12:15:47 - mmengine - INFO - Epoch(train) [11][15/63] lr: 2.0382e-04 eta: 1 day, 2:55:31 time: 0.5488 data_time: 0.0125 memory: 16390 loss: 5.1086 loss_prob: 2.9548 loss_thr: 1.1549 loss_db: 0.9990 2022/11/02 12:15:50 - mmengine - INFO - Epoch(train) [11][20/63] lr: 2.0382e-04 eta: 1 day, 2:40:43 time: 0.5347 data_time: 0.0064 memory: 16390 loss: 5.1081 loss_prob: 2.9462 loss_thr: 1.1628 loss_db: 0.9991 2022/11/02 12:15:53 - mmengine - INFO - Epoch(train) [11][25/63] lr: 2.0382e-04 eta: 1 day, 2:40:43 time: 0.5664 data_time: 0.0146 memory: 16390 loss: 5.0877 loss_prob: 2.9378 loss_thr: 1.1505 loss_db: 0.9995 2022/11/02 12:15:55 - mmengine - INFO - Epoch(train) [11][30/63] lr: 2.0382e-04 eta: 1 day, 2:26:50 time: 0.5591 data_time: 0.0309 memory: 16390 loss: 5.1072 loss_prob: 2.9534 loss_thr: 1.1546 loss_db: 0.9992 2022/11/02 12:15:58 - mmengine - INFO - Epoch(train) [11][35/63] lr: 2.0382e-04 eta: 1 day, 2:26:50 time: 0.5448 data_time: 0.0275 memory: 16390 loss: 5.1163 loss_prob: 2.9543 loss_thr: 1.1628 loss_db: 0.9992 2022/11/02 12:16:01 - mmengine - INFO - Epoch(train) [11][40/63] lr: 2.0382e-04 eta: 1 day, 2:13:09 time: 0.5473 data_time: 0.0094 memory: 16390 loss: 5.0751 loss_prob: 2.9328 loss_thr: 1.1429 loss_db: 0.9993 2022/11/02 12:16:04 - mmengine - INFO - Epoch(train) [11][45/63] lr: 2.0382e-04 eta: 1 day, 2:13:09 time: 0.5383 data_time: 0.0061 memory: 16390 loss: 5.0650 loss_prob: 2.9248 loss_thr: 1.1411 loss_db: 0.9990 2022/11/02 12:16:06 - mmengine - INFO - Epoch(train) [11][50/63] lr: 2.0382e-04 eta: 1 day, 1:59:38 time: 0.5353 data_time: 0.0207 memory: 16390 loss: 5.0611 loss_prob: 2.9186 loss_thr: 1.1433 loss_db: 0.9991 2022/11/02 12:16:09 - mmengine - INFO - Epoch(train) [11][55/63] lr: 2.0382e-04 eta: 1 day, 1:59:38 time: 0.5445 data_time: 0.0214 memory: 16390 loss: 5.0553 loss_prob: 2.9101 loss_thr: 1.1459 loss_db: 0.9993 2022/11/02 12:16:12 - mmengine - INFO - Epoch(train) [11][60/63] lr: 2.0382e-04 eta: 1 day, 1:46:34 time: 0.5389 data_time: 0.0086 memory: 16390 loss: 5.0660 loss_prob: 2.9171 loss_thr: 1.1500 loss_db: 0.9989 2022/11/02 12:16:13 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:16:18 - mmengine - INFO - Epoch(train) [12][5/63] lr: 2.2400e-04 eta: 1 day, 1:46:34 time: 0.6953 data_time: 0.2151 memory: 16390 loss: 5.0831 loss_prob: 2.9454 loss_thr: 1.1378 loss_db: 0.9999 2022/11/02 12:16:20 - mmengine - INFO - Epoch(train) [12][10/63] lr: 2.2400e-04 eta: 1 day, 1:31:12 time: 0.7596 data_time: 0.2141 memory: 16390 loss: 5.0566 loss_prob: 2.9342 loss_thr: 1.1231 loss_db: 0.9993 2022/11/02 12:16:23 - mmengine - INFO - Epoch(train) [12][15/63] lr: 2.2400e-04 eta: 1 day, 1:31:12 time: 0.5495 data_time: 0.0082 memory: 16390 loss: 5.0435 loss_prob: 2.9238 loss_thr: 1.1231 loss_db: 0.9966 2022/11/02 12:16:26 - mmengine - INFO - Epoch(train) [12][20/63] lr: 2.2400e-04 eta: 1 day, 1:18:49 time: 0.5313 data_time: 0.0082 memory: 16390 loss: 5.0522 loss_prob: 2.9254 loss_thr: 1.1307 loss_db: 0.9961 2022/11/02 12:16:29 - mmengine - INFO - Epoch(train) [12][25/63] lr: 2.2400e-04 eta: 1 day, 1:18:49 time: 0.5395 data_time: 0.0256 memory: 16390 loss: 5.0574 loss_prob: 2.9199 loss_thr: 1.1398 loss_db: 0.9977 2022/11/02 12:16:32 - mmengine - INFO - Epoch(train) [12][30/63] lr: 2.2400e-04 eta: 1 day, 1:07:43 time: 0.5850 data_time: 0.0329 memory: 16390 loss: 5.0241 loss_prob: 2.9067 loss_thr: 1.1201 loss_db: 0.9974 2022/11/02 12:16:34 - mmengine - INFO - Epoch(train) [12][35/63] lr: 2.2400e-04 eta: 1 day, 1:07:43 time: 0.5602 data_time: 0.0120 memory: 16390 loss: 4.9881 loss_prob: 2.8939 loss_thr: 1.0980 loss_db: 0.9962 2022/11/02 12:16:37 - mmengine - INFO - Epoch(train) [12][40/63] lr: 2.2400e-04 eta: 1 day, 0:55:55 time: 0.5274 data_time: 0.0151 memory: 16390 loss: 5.0134 loss_prob: 2.9017 loss_thr: 1.1186 loss_db: 0.9931 2022/11/02 12:16:40 - mmengine - INFO - Epoch(train) [12][45/63] lr: 2.2400e-04 eta: 1 day, 0:55:55 time: 0.5355 data_time: 0.0153 memory: 16390 loss: 5.0256 loss_prob: 2.8992 loss_thr: 1.1315 loss_db: 0.9949 2022/11/02 12:16:42 - mmengine - INFO - Epoch(train) [12][50/63] lr: 2.2400e-04 eta: 1 day, 0:44:31 time: 0.5314 data_time: 0.0148 memory: 16390 loss: 5.0190 loss_prob: 2.8888 loss_thr: 1.1306 loss_db: 0.9995 2022/11/02 12:16:45 - mmengine - INFO - Epoch(train) [12][55/63] lr: 2.2400e-04 eta: 1 day, 0:44:31 time: 0.5284 data_time: 0.0151 memory: 16390 loss: 5.1166 loss_prob: 2.9167 loss_thr: 1.2004 loss_db: 0.9995 2022/11/02 12:16:48 - mmengine - INFO - Epoch(train) [12][60/63] lr: 2.2400e-04 eta: 1 day, 0:34:04 time: 0.5710 data_time: 0.0072 memory: 16390 loss: 5.2355 loss_prob: 2.9520 loss_thr: 1.2865 loss_db: 0.9970 2022/11/02 12:16:49 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:16:55 - mmengine - INFO - Epoch(train) [13][5/63] lr: 2.4418e-04 eta: 1 day, 0:34:04 time: 0.7940 data_time: 0.2335 memory: 16390 loss: 5.1511 loss_prob: 2.9466 loss_thr: 1.2089 loss_db: 0.9956 2022/11/02 12:16:58 - mmengine - INFO - Epoch(train) [13][10/63] lr: 2.4418e-04 eta: 1 day, 0:22:13 time: 0.8248 data_time: 0.2345 memory: 16390 loss: 5.0170 loss_prob: 2.9103 loss_thr: 1.1109 loss_db: 0.9957 2022/11/02 12:17:00 - mmengine - INFO - Epoch(train) [13][15/63] lr: 2.4418e-04 eta: 1 day, 0:22:13 time: 0.5972 data_time: 0.0088 memory: 16390 loss: 5.0362 loss_prob: 2.9063 loss_thr: 1.1334 loss_db: 0.9965 2022/11/02 12:17:04 - mmengine - INFO - Epoch(train) [13][20/63] lr: 2.4418e-04 eta: 1 day, 0:13:51 time: 0.6630 data_time: 0.0072 memory: 16390 loss: 5.0298 loss_prob: 2.9015 loss_thr: 1.1296 loss_db: 0.9986 2022/11/02 12:17:07 - mmengine - INFO - Epoch(train) [13][25/63] lr: 2.4418e-04 eta: 1 day, 0:13:51 time: 0.6828 data_time: 0.0240 memory: 16390 loss: 4.9930 loss_prob: 2.8897 loss_thr: 1.1056 loss_db: 0.9977 2022/11/02 12:17:10 - mmengine - INFO - Epoch(train) [13][30/63] lr: 2.4418e-04 eta: 1 day, 0:04:44 time: 0.6036 data_time: 0.0365 memory: 16390 loss: 4.9873 loss_prob: 2.8859 loss_thr: 1.1045 loss_db: 0.9968 2022/11/02 12:17:13 - mmengine - INFO - Epoch(train) [13][35/63] lr: 2.4418e-04 eta: 1 day, 0:04:44 time: 0.6153 data_time: 0.0234 memory: 16390 loss: 4.9709 loss_prob: 2.8783 loss_thr: 1.0957 loss_db: 0.9970 2022/11/02 12:17:17 - mmengine - INFO - Epoch(train) [13][40/63] lr: 2.4418e-04 eta: 23:56:54 time: 0.6709 data_time: 0.0097 memory: 16390 loss: 4.9597 loss_prob: 2.8711 loss_thr: 1.0917 loss_db: 0.9970 2022/11/02 12:17:20 - mmengine - INFO - Epoch(train) [13][45/63] lr: 2.4418e-04 eta: 23:56:54 time: 0.6614 data_time: 0.0066 memory: 16390 loss: 4.9826 loss_prob: 2.8904 loss_thr: 1.0948 loss_db: 0.9974 2022/11/02 12:17:23 - mmengine - INFO - Epoch(train) [13][50/63] lr: 2.4418e-04 eta: 23:48:25 time: 0.6167 data_time: 0.0204 memory: 16390 loss: 5.1280 loss_prob: 2.9347 loss_thr: 1.1966 loss_db: 0.9967 2022/11/02 12:17:26 - mmengine - INFO - Epoch(train) [13][55/63] lr: 2.4418e-04 eta: 23:48:25 time: 0.5583 data_time: 0.0229 memory: 16390 loss: 5.1422 loss_prob: 2.9388 loss_thr: 1.2061 loss_db: 0.9973 2022/11/02 12:17:29 - mmengine - INFO - Epoch(train) [13][60/63] lr: 2.4418e-04 eta: 23:39:06 time: 0.5487 data_time: 0.0114 memory: 16390 loss: 5.0657 loss_prob: 2.9329 loss_thr: 1.1365 loss_db: 0.9963 2022/11/02 12:17:30 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:17:37 - mmengine - INFO - Epoch(train) [14][5/63] lr: 2.6436e-04 eta: 23:39:06 time: 0.9078 data_time: 0.2469 memory: 16390 loss: 5.0102 loss_prob: 2.9115 loss_thr: 1.1038 loss_db: 0.9950 2022/11/02 12:17:39 - mmengine - INFO - Epoch(train) [14][10/63] lr: 2.6436e-04 eta: 23:30:05 time: 0.8970 data_time: 0.2471 memory: 16390 loss: 4.9482 loss_prob: 2.8865 loss_thr: 1.0679 loss_db: 0.9938 2022/11/02 12:17:43 - mmengine - INFO - Epoch(train) [14][15/63] lr: 2.6436e-04 eta: 23:30:05 time: 0.6544 data_time: 0.0065 memory: 16390 loss: 4.9376 loss_prob: 2.8801 loss_thr: 1.0684 loss_db: 0.9891 2022/11/02 12:17:46 - mmengine - INFO - Epoch(train) [14][20/63] lr: 2.6436e-04 eta: 23:22:42 time: 0.6472 data_time: 0.0065 memory: 16390 loss: 4.9513 loss_prob: 2.8717 loss_thr: 1.0876 loss_db: 0.9921 2022/11/02 12:17:49 - mmengine - INFO - Epoch(train) [14][25/63] lr: 2.6436e-04 eta: 23:22:42 time: 0.5680 data_time: 0.0255 memory: 16390 loss: 4.9673 loss_prob: 2.8799 loss_thr: 1.0884 loss_db: 0.9990 2022/11/02 12:17:52 - mmengine - INFO - Epoch(train) [14][30/63] lr: 2.6436e-04 eta: 23:14:24 time: 0.5727 data_time: 0.0300 memory: 16390 loss: 4.9679 loss_prob: 2.8824 loss_thr: 1.0939 loss_db: 0.9916 2022/11/02 12:17:55 - mmengine - INFO - Epoch(train) [14][35/63] lr: 2.6436e-04 eta: 23:14:24 time: 0.5898 data_time: 0.0107 memory: 16390 loss: 4.9225 loss_prob: 2.8596 loss_thr: 1.0844 loss_db: 0.9785 2022/11/02 12:17:58 - mmengine - INFO - Epoch(train) [14][40/63] lr: 2.6436e-04 eta: 23:06:45 time: 0.6038 data_time: 0.0062 memory: 16390 loss: 4.9060 loss_prob: 2.8547 loss_thr: 1.0674 loss_db: 0.9839 2022/11/02 12:18:00 - mmengine - INFO - Epoch(train) [14][45/63] lr: 2.6436e-04 eta: 23:06:45 time: 0.5712 data_time: 0.0081 memory: 16390 loss: 4.9255 loss_prob: 2.8600 loss_thr: 1.0734 loss_db: 0.9921 2022/11/02 12:18:03 - mmengine - INFO - Epoch(train) [14][50/63] lr: 2.6436e-04 eta: 22:58:31 time: 0.5520 data_time: 0.0281 memory: 16390 loss: 4.9293 loss_prob: 2.8657 loss_thr: 1.0825 loss_db: 0.9810 2022/11/02 12:18:06 - mmengine - INFO - Epoch(train) [14][55/63] lr: 2.6436e-04 eta: 22:58:31 time: 0.5309 data_time: 0.0249 memory: 16390 loss: 4.9295 loss_prob: 2.8731 loss_thr: 1.0739 loss_db: 0.9825 2022/11/02 12:18:08 - mmengine - INFO - Epoch(train) [14][60/63] lr: 2.6436e-04 eta: 22:49:45 time: 0.5010 data_time: 0.0053 memory: 16390 loss: 4.9168 loss_prob: 2.8677 loss_thr: 1.0660 loss_db: 0.9831 2022/11/02 12:18:09 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:18:15 - mmengine - INFO - Epoch(train) [15][5/63] lr: 2.8455e-04 eta: 22:49:45 time: 0.8089 data_time: 0.2477 memory: 16390 loss: 4.9009 loss_prob: 2.8617 loss_thr: 1.0706 loss_db: 0.9686 2022/11/02 12:18:18 - mmengine - INFO - Epoch(train) [15][10/63] lr: 2.8455e-04 eta: 22:41:05 time: 0.8258 data_time: 0.2501 memory: 16390 loss: 4.8639 loss_prob: 2.8487 loss_thr: 1.0458 loss_db: 0.9694 2022/11/02 12:18:20 - mmengine - INFO - Epoch(train) [15][15/63] lr: 2.8455e-04 eta: 22:41:05 time: 0.5248 data_time: 0.0070 memory: 16390 loss: 4.8812 loss_prob: 2.8575 loss_thr: 1.0593 loss_db: 0.9645 2022/11/02 12:18:23 - mmengine - INFO - Epoch(train) [15][20/63] lr: 2.8455e-04 eta: 22:33:09 time: 0.5325 data_time: 0.0048 memory: 16390 loss: 4.9746 loss_prob: 2.8915 loss_thr: 1.1114 loss_db: 0.9716 2022/11/02 12:18:26 - mmengine - INFO - Epoch(train) [15][25/63] lr: 2.8455e-04 eta: 22:33:09 time: 0.5498 data_time: 0.0301 memory: 16390 loss: 5.0208 loss_prob: 2.8912 loss_thr: 1.1391 loss_db: 0.9905 2022/11/02 12:18:29 - mmengine - INFO - Epoch(train) [15][30/63] lr: 2.8455e-04 eta: 22:25:56 time: 0.5711 data_time: 0.0303 memory: 16390 loss: 4.9968 loss_prob: 2.8734 loss_thr: 1.1242 loss_db: 0.9992 2022/11/02 12:18:31 - mmengine - INFO - Epoch(train) [15][35/63] lr: 2.8455e-04 eta: 22:25:56 time: 0.5504 data_time: 0.0067 memory: 16390 loss: 4.9920 loss_prob: 2.8798 loss_thr: 1.1148 loss_db: 0.9974 2022/11/02 12:18:34 - mmengine - INFO - Epoch(train) [15][40/63] lr: 2.8455e-04 eta: 22:18:35 time: 0.5499 data_time: 0.0094 memory: 16390 loss: 4.9509 loss_prob: 2.8754 loss_thr: 1.0933 loss_db: 0.9822 2022/11/02 12:18:37 - mmengine - INFO - Epoch(train) [15][45/63] lr: 2.8455e-04 eta: 22:18:35 time: 0.5198 data_time: 0.0080 memory: 16390 loss: 4.8875 loss_prob: 2.8586 loss_thr: 1.0636 loss_db: 0.9654 2022/11/02 12:18:39 - mmengine - INFO - Epoch(train) [15][50/63] lr: 2.8455e-04 eta: 22:10:59 time: 0.5194 data_time: 0.0228 memory: 16390 loss: 4.8677 loss_prob: 2.8535 loss_thr: 1.0439 loss_db: 0.9703 2022/11/02 12:18:42 - mmengine - INFO - Epoch(train) [15][55/63] lr: 2.8455e-04 eta: 22:10:59 time: 0.5442 data_time: 0.0229 memory: 16390 loss: 4.8548 loss_prob: 2.8498 loss_thr: 1.0386 loss_db: 0.9663 2022/11/02 12:18:45 - mmengine - INFO - Epoch(train) [15][60/63] lr: 2.8455e-04 eta: 22:03:32 time: 0.5190 data_time: 0.0095 memory: 16390 loss: 4.8381 loss_prob: 2.8391 loss_thr: 1.0360 loss_db: 0.9630 2022/11/02 12:18:46 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:18:52 - mmengine - INFO - Epoch(train) [16][5/63] lr: 3.0473e-04 eta: 22:03:32 time: 0.8012 data_time: 0.2497 memory: 16390 loss: 4.8504 loss_prob: 2.8451 loss_thr: 1.0548 loss_db: 0.9505 2022/11/02 12:18:54 - mmengine - INFO - Epoch(train) [16][10/63] lr: 3.0473e-04 eta: 21:56:25 time: 0.8548 data_time: 0.2529 memory: 16390 loss: 4.8467 loss_prob: 2.8477 loss_thr: 1.0592 loss_db: 0.9398 2022/11/02 12:18:57 - mmengine - INFO - Epoch(train) [16][15/63] lr: 3.0473e-04 eta: 21:56:25 time: 0.5493 data_time: 0.0086 memory: 16390 loss: 4.8259 loss_prob: 2.8471 loss_thr: 1.0313 loss_db: 0.9476 2022/11/02 12:19:00 - mmengine - INFO - Epoch(train) [16][20/63] lr: 3.0473e-04 eta: 21:49:22 time: 0.5246 data_time: 0.0053 memory: 16390 loss: 4.8136 loss_prob: 2.8458 loss_thr: 1.0395 loss_db: 0.9282 2022/11/02 12:19:02 - mmengine - INFO - Epoch(train) [16][25/63] lr: 3.0473e-04 eta: 21:49:22 time: 0.5237 data_time: 0.0265 memory: 16390 loss: 4.8186 loss_prob: 2.8430 loss_thr: 1.0430 loss_db: 0.9326 2022/11/02 12:19:05 - mmengine - INFO - Epoch(train) [16][30/63] lr: 3.0473e-04 eta: 21:42:37 time: 0.5377 data_time: 0.0335 memory: 16390 loss: 4.8062 loss_prob: 2.8351 loss_thr: 1.0292 loss_db: 0.9419 2022/11/02 12:19:07 - mmengine - INFO - Epoch(train) [16][35/63] lr: 3.0473e-04 eta: 21:42:37 time: 0.5014 data_time: 0.0131 memory: 16390 loss: 4.7578 loss_prob: 2.8168 loss_thr: 1.0098 loss_db: 0.9312 2022/11/02 12:19:10 - mmengine - INFO - Epoch(train) [16][40/63] lr: 3.0473e-04 eta: 21:35:21 time: 0.4851 data_time: 0.0057 memory: 16390 loss: 4.7356 loss_prob: 2.8114 loss_thr: 0.9902 loss_db: 0.9341 2022/11/02 12:19:12 - mmengine - INFO - Epoch(train) [16][45/63] lr: 3.0473e-04 eta: 21:35:21 time: 0.5047 data_time: 0.0045 memory: 16390 loss: 4.7229 loss_prob: 2.8080 loss_thr: 0.9865 loss_db: 0.9285 2022/11/02 12:19:15 - mmengine - INFO - Epoch(train) [16][50/63] lr: 3.0473e-04 eta: 21:28:50 time: 0.5333 data_time: 0.0129 memory: 16390 loss: 4.7154 loss_prob: 2.8012 loss_thr: 0.9939 loss_db: 0.9203 2022/11/02 12:19:18 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:19:18 - mmengine - INFO - Epoch(train) [16][55/63] lr: 3.0473e-04 eta: 21:28:50 time: 0.5388 data_time: 0.0223 memory: 16390 loss: 4.7659 loss_prob: 2.8230 loss_thr: 1.0253 loss_db: 0.9176 2022/11/02 12:19:21 - mmengine - INFO - Epoch(train) [16][60/63] lr: 3.0473e-04 eta: 21:22:34 time: 0.5450 data_time: 0.0152 memory: 16390 loss: 4.8119 loss_prob: 2.8405 loss_thr: 1.0317 loss_db: 0.9397 2022/11/02 12:19:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:19:28 - mmengine - INFO - Epoch(train) [17][5/63] lr: 3.2491e-04 eta: 21:22:34 time: 0.8065 data_time: 0.2083 memory: 16390 loss: 4.8443 loss_prob: 2.8561 loss_thr: 1.0609 loss_db: 0.9273 2022/11/02 12:19:30 - mmengine - INFO - Epoch(train) [17][10/63] lr: 3.2491e-04 eta: 21:16:00 time: 0.8217 data_time: 0.2073 memory: 16390 loss: 4.8093 loss_prob: 2.8411 loss_thr: 1.0555 loss_db: 0.9127 2022/11/02 12:19:33 - mmengine - INFO - Epoch(train) [17][15/63] lr: 3.2491e-04 eta: 21:16:00 time: 0.5545 data_time: 0.0046 memory: 16390 loss: 4.7017 loss_prob: 2.7994 loss_thr: 0.9955 loss_db: 0.9068 2022/11/02 12:19:37 - mmengine - INFO - Epoch(train) [17][20/63] lr: 3.2491e-04 eta: 21:11:18 time: 0.6521 data_time: 0.0260 memory: 16390 loss: 4.6933 loss_prob: 2.7977 loss_thr: 0.9926 loss_db: 0.9030 2022/11/02 12:19:40 - mmengine - INFO - Epoch(train) [17][25/63] lr: 3.2491e-04 eta: 21:11:18 time: 0.7372 data_time: 0.0255 memory: 16390 loss: 4.6854 loss_prob: 2.7898 loss_thr: 0.9871 loss_db: 0.9085 2022/11/02 12:19:43 - mmengine - INFO - Epoch(train) [17][30/63] lr: 3.2491e-04 eta: 21:06:27 time: 0.6321 data_time: 0.0170 memory: 16390 loss: 4.6514 loss_prob: 2.7682 loss_thr: 0.9980 loss_db: 0.8852 2022/11/02 12:19:46 - mmengine - INFO - Epoch(train) [17][35/63] lr: 3.2491e-04 eta: 21:06:27 time: 0.5334 data_time: 0.0174 memory: 16390 loss: 4.5970 loss_prob: 2.7272 loss_thr: 1.0005 loss_db: 0.8693 2022/11/02 12:19:50 - mmengine - INFO - Epoch(train) [17][40/63] lr: 3.2491e-04 eta: 21:01:55 time: 0.6502 data_time: 0.0059 memory: 16390 loss: 4.5661 loss_prob: 2.7155 loss_thr: 0.9775 loss_db: 0.8731 2022/11/02 12:19:53 - mmengine - INFO - Epoch(train) [17][45/63] lr: 3.2491e-04 eta: 21:01:55 time: 0.6769 data_time: 0.0188 memory: 16390 loss: 4.6441 loss_prob: 2.7714 loss_thr: 0.9954 loss_db: 0.8773 2022/11/02 12:19:55 - mmengine - INFO - Epoch(train) [17][50/63] lr: 3.2491e-04 eta: 20:56:19 time: 0.5531 data_time: 0.0190 memory: 16390 loss: 4.6498 loss_prob: 2.7584 loss_thr: 1.0119 loss_db: 0.8794 2022/11/02 12:19:59 - mmengine - INFO - Epoch(train) [17][55/63] lr: 3.2491e-04 eta: 20:56:19 time: 0.6338 data_time: 0.0129 memory: 16390 loss: 4.6338 loss_prob: 2.7459 loss_thr: 1.0028 loss_db: 0.8850 2022/11/02 12:20:03 - mmengine - INFO - Epoch(train) [17][60/63] lr: 3.2491e-04 eta: 20:53:09 time: 0.7543 data_time: 0.0120 memory: 16390 loss: 4.6759 loss_prob: 2.7926 loss_thr: 0.9867 loss_db: 0.8966 2022/11/02 12:20:05 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:20:11 - mmengine - INFO - Epoch(train) [18][5/63] lr: 3.4509e-04 eta: 20:53:09 time: 0.9521 data_time: 0.2630 memory: 16390 loss: 4.6393 loss_prob: 2.7580 loss_thr: 1.0118 loss_db: 0.8695 2022/11/02 12:20:14 - mmengine - INFO - Epoch(train) [18][10/63] lr: 3.4509e-04 eta: 20:48:49 time: 0.9529 data_time: 0.2631 memory: 16390 loss: 4.5966 loss_prob: 2.7087 loss_thr: 1.0118 loss_db: 0.8760 2022/11/02 12:20:17 - mmengine - INFO - Epoch(train) [18][15/63] lr: 3.4509e-04 eta: 20:48:49 time: 0.6360 data_time: 0.0046 memory: 16390 loss: 4.5554 loss_prob: 2.6855 loss_thr: 0.9987 loss_db: 0.8712 2022/11/02 12:20:21 - mmengine - INFO - Epoch(train) [18][20/63] lr: 3.4509e-04 eta: 20:44:30 time: 0.6412 data_time: 0.0046 memory: 16390 loss: 4.5351 loss_prob: 2.6780 loss_thr: 0.9819 loss_db: 0.8752 2022/11/02 12:20:24 - mmengine - INFO - Epoch(train) [18][25/63] lr: 3.4509e-04 eta: 20:44:30 time: 0.6286 data_time: 0.0172 memory: 16390 loss: 4.5640 loss_prob: 2.6976 loss_thr: 0.9853 loss_db: 0.8811 2022/11/02 12:20:27 - mmengine - INFO - Epoch(train) [18][30/63] lr: 3.4509e-04 eta: 20:40:40 time: 0.6774 data_time: 0.0358 memory: 16390 loss: 4.5955 loss_prob: 2.7369 loss_thr: 0.9938 loss_db: 0.8648 2022/11/02 12:20:31 - mmengine - INFO - Epoch(train) [18][35/63] lr: 3.4509e-04 eta: 20:40:40 time: 0.7068 data_time: 0.0230 memory: 16390 loss: 4.5542 loss_prob: 2.7104 loss_thr: 0.9804 loss_db: 0.8634 2022/11/02 12:20:33 - mmengine - INFO - Epoch(train) [18][40/63] lr: 3.4509e-04 eta: 20:36:05 time: 0.6035 data_time: 0.0046 memory: 16390 loss: 4.5197 loss_prob: 2.6684 loss_thr: 0.9752 loss_db: 0.8761 2022/11/02 12:20:36 - mmengine - INFO - Epoch(train) [18][45/63] lr: 3.4509e-04 eta: 20:36:05 time: 0.5557 data_time: 0.0047 memory: 16390 loss: 4.5883 loss_prob: 2.7028 loss_thr: 0.9983 loss_db: 0.8872 2022/11/02 12:20:39 - mmengine - INFO - Epoch(train) [18][50/63] lr: 3.4509e-04 eta: 20:31:27 time: 0.5918 data_time: 0.0145 memory: 16390 loss: 4.6596 loss_prob: 2.7362 loss_thr: 1.0086 loss_db: 0.9148 2022/11/02 12:20:43 - mmengine - INFO - Epoch(train) [18][55/63] lr: 3.4509e-04 eta: 20:31:27 time: 0.6294 data_time: 0.0278 memory: 16390 loss: 4.6663 loss_prob: 2.7242 loss_thr: 1.0474 loss_db: 0.8947 2022/11/02 12:20:45 - mmengine - INFO - Epoch(train) [18][60/63] lr: 3.4509e-04 eta: 20:26:47 time: 0.5828 data_time: 0.0182 memory: 16390 loss: 4.5045 loss_prob: 2.6156 loss_thr: 1.0260 loss_db: 0.8628 2022/11/02 12:20:46 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:20:52 - mmengine - INFO - Epoch(train) [19][5/63] lr: 3.6527e-04 eta: 20:26:47 time: 0.8106 data_time: 0.2545 memory: 16390 loss: 4.4101 loss_prob: 2.6051 loss_thr: 0.9861 loss_db: 0.8189 2022/11/02 12:20:55 - mmengine - INFO - Epoch(train) [19][10/63] lr: 3.6527e-04 eta: 20:21:48 time: 0.8449 data_time: 0.2606 memory: 16390 loss: 4.4310 loss_prob: 2.6008 loss_thr: 0.9927 loss_db: 0.8375 2022/11/02 12:20:57 - mmengine - INFO - Epoch(train) [19][15/63] lr: 3.6527e-04 eta: 20:21:48 time: 0.5160 data_time: 0.0103 memory: 16390 loss: 4.2924 loss_prob: 2.5330 loss_thr: 0.9611 loss_db: 0.7983 2022/11/02 12:21:00 - mmengine - INFO - Epoch(train) [19][20/63] lr: 3.6527e-04 eta: 20:16:37 time: 0.5169 data_time: 0.0046 memory: 16390 loss: 4.2657 loss_prob: 2.5244 loss_thr: 0.9640 loss_db: 0.7772 2022/11/02 12:21:03 - mmengine - INFO - Epoch(train) [19][25/63] lr: 3.6527e-04 eta: 20:16:37 time: 0.5516 data_time: 0.0048 memory: 16390 loss: 4.2581 loss_prob: 2.5345 loss_thr: 0.9870 loss_db: 0.7365 2022/11/02 12:21:05 - mmengine - INFO - Epoch(train) [19][30/63] lr: 3.6527e-04 eta: 20:11:50 time: 0.5480 data_time: 0.0113 memory: 16390 loss: 4.3703 loss_prob: 2.6394 loss_thr: 0.9942 loss_db: 0.7367 2022/11/02 12:21:08 - mmengine - INFO - Epoch(train) [19][35/63] lr: 3.6527e-04 eta: 20:11:50 time: 0.5019 data_time: 0.0112 memory: 16390 loss: 4.3337 loss_prob: 2.6765 loss_thr: 0.9955 loss_db: 0.6617 2022/11/02 12:21:10 - mmengine - INFO - Epoch(train) [19][40/63] lr: 3.6527e-04 eta: 20:06:32 time: 0.4909 data_time: 0.0048 memory: 16390 loss: 4.0922 loss_prob: 2.6012 loss_thr: 0.9802 loss_db: 0.5108 2022/11/02 12:21:13 - mmengine - INFO - Epoch(train) [19][45/63] lr: 3.6527e-04 eta: 20:06:32 time: 0.4955 data_time: 0.0045 memory: 16390 loss: 3.9397 loss_prob: 2.5369 loss_thr: 0.9593 loss_db: 0.4436 2022/11/02 12:21:15 - mmengine - INFO - Epoch(train) [19][50/63] lr: 3.6527e-04 eta: 20:01:34 time: 0.5130 data_time: 0.0224 memory: 16390 loss: 3.9532 loss_prob: 2.5359 loss_thr: 0.9542 loss_db: 0.4631 2022/11/02 12:21:18 - mmengine - INFO - Epoch(train) [19][55/63] lr: 3.6527e-04 eta: 20:01:34 time: 0.5089 data_time: 0.0228 memory: 16390 loss: 4.1153 loss_prob: 2.5996 loss_thr: 1.0050 loss_db: 0.5107 2022/11/02 12:21:20 - mmengine - INFO - Epoch(train) [19][60/63] lr: 3.6527e-04 eta: 19:56:31 time: 0.4981 data_time: 0.0047 memory: 16390 loss: 4.0800 loss_prob: 2.5712 loss_thr: 1.0368 loss_db: 0.4720 2022/11/02 12:21:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:21:26 - mmengine - INFO - Epoch(train) [20][5/63] lr: 3.8545e-04 eta: 19:56:31 time: 0.6649 data_time: 0.2070 memory: 16390 loss: 3.9364 loss_prob: 2.5340 loss_thr: 0.9552 loss_db: 0.4472 2022/11/02 12:21:29 - mmengine - INFO - Epoch(train) [20][10/63] lr: 3.8545e-04 eta: 19:50:34 time: 0.6951 data_time: 0.2082 memory: 16390 loss: 4.2239 loss_prob: 2.6644 loss_thr: 1.0240 loss_db: 0.5355 2022/11/02 12:21:31 - mmengine - INFO - Epoch(train) [20][15/63] lr: 3.8545e-04 eta: 19:50:34 time: 0.4995 data_time: 0.0059 memory: 16390 loss: 4.5834 loss_prob: 2.8716 loss_thr: 1.0816 loss_db: 0.6302 2022/11/02 12:21:33 - mmengine - INFO - Epoch(train) [20][20/63] lr: 3.8545e-04 eta: 19:45:36 time: 0.4891 data_time: 0.0047 memory: 16390 loss: 4.7628 loss_prob: 2.9516 loss_thr: 1.0980 loss_db: 0.7132 2022/11/02 12:21:36 - mmengine - INFO - Epoch(train) [20][25/63] lr: 3.8545e-04 eta: 19:45:36 time: 0.4907 data_time: 0.0150 memory: 16390 loss: 4.7544 loss_prob: 2.9162 loss_thr: 1.0981 loss_db: 0.7402 2022/11/02 12:21:39 - mmengine - INFO - Epoch(train) [20][30/63] lr: 3.8545e-04 eta: 19:40:58 time: 0.5126 data_time: 0.0352 memory: 16390 loss: 4.7063 loss_prob: 2.9219 loss_thr: 1.0834 loss_db: 0.7010 2022/11/02 12:21:41 - mmengine - INFO - Epoch(train) [20][35/63] lr: 3.8545e-04 eta: 19:40:58 time: 0.5008 data_time: 0.0247 memory: 16390 loss: 4.7424 loss_prob: 2.9577 loss_thr: 1.0793 loss_db: 0.7054 2022/11/02 12:21:44 - mmengine - INFO - Epoch(train) [20][40/63] lr: 3.8545e-04 eta: 19:36:12 time: 0.4935 data_time: 0.0044 memory: 16390 loss: 4.6780 loss_prob: 2.9053 loss_thr: 1.0717 loss_db: 0.7010 2022/11/02 12:21:46 - mmengine - INFO - Epoch(train) [20][45/63] lr: 3.8545e-04 eta: 19:36:12 time: 0.4903 data_time: 0.0055 memory: 16390 loss: 4.5052 loss_prob: 2.8183 loss_thr: 1.0525 loss_db: 0.6344 2022/11/02 12:21:48 - mmengine - INFO - Epoch(train) [20][50/63] lr: 3.8545e-04 eta: 19:31:32 time: 0.4951 data_time: 0.0154 memory: 16390 loss: 4.5131 loss_prob: 2.8329 loss_thr: 1.0492 loss_db: 0.6310 2022/11/02 12:21:51 - mmengine - INFO - Epoch(train) [20][55/63] lr: 3.8545e-04 eta: 19:31:32 time: 0.5120 data_time: 0.0235 memory: 16390 loss: 4.4925 loss_prob: 2.8066 loss_thr: 1.0574 loss_db: 0.6285 2022/11/02 12:21:53 - mmengine - INFO - Epoch(train) [20][60/63] lr: 3.8545e-04 eta: 19:26:54 time: 0.4924 data_time: 0.0146 memory: 16390 loss: 4.4261 loss_prob: 2.7879 loss_thr: 1.0444 loss_db: 0.5938 2022/11/02 12:21:55 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:21:55 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/11/02 12:23:56 - mmengine - INFO - Epoch(val) [20][5/500] eta: 19:26:54 time: 23.4961 data_time: 22.1831 memory: 34497 2022/11/02 12:23:56 - mmengine - INFO - Epoch(val) [20][10/500] eta: 1:36:16 time: 11.7881 data_time: 11.0926 memory: 1011 2022/11/02 12:23:56 - mmengine - INFO - Epoch(val) [20][15/500] eta: 1:36:16 time: 0.0743 data_time: 0.0023 memory: 1011 2022/11/02 12:23:57 - mmengine - INFO - Epoch(val) [20][20/500] eta: 0:00:37 time: 0.0790 data_time: 0.0025 memory: 1011 2022/11/02 12:23:57 - mmengine - INFO - Epoch(val) [20][25/500] eta: 0:00:37 time: 0.0735 data_time: 0.0025 memory: 1011 2022/11/02 12:23:57 - mmengine - INFO - Epoch(val) [20][30/500] eta: 0:00:32 time: 0.0682 data_time: 0.0024 memory: 1011 2022/11/02 12:23:58 - mmengine - INFO - Epoch(val) [20][35/500] eta: 0:00:32 time: 0.0753 data_time: 0.0024 memory: 1011 2022/11/02 12:23:58 - mmengine - INFO - Epoch(val) [20][40/500] eta: 0:00:40 time: 0.0888 data_time: 0.0024 memory: 1011 2022/11/02 12:23:59 - mmengine - INFO - Epoch(val) [20][45/500] eta: 0:00:40 time: 0.0910 data_time: 0.0026 memory: 1011 2022/11/02 12:23:59 - mmengine - INFO - Epoch(val) [20][50/500] eta: 0:00:34 time: 0.0759 data_time: 0.0027 memory: 1011 2022/11/02 12:23:59 - mmengine - INFO - Epoch(val) [20][55/500] eta: 0:00:34 time: 0.0716 data_time: 0.0024 memory: 1011 2022/11/02 12:24:00 - mmengine - INFO - Epoch(val) [20][60/500] eta: 0:00:31 time: 0.0722 data_time: 0.0021 memory: 1011 2022/11/02 12:24:00 - mmengine - INFO - Epoch(val) [20][65/500] eta: 0:00:31 time: 0.0888 data_time: 0.0024 memory: 1011 2022/11/02 12:24:01 - mmengine - INFO - Epoch(val) [20][70/500] eta: 0:00:38 time: 0.0893 data_time: 0.0024 memory: 1011 2022/11/02 12:24:01 - mmengine - INFO - Epoch(val) [20][75/500] eta: 0:00:38 time: 0.0764 data_time: 0.0024 memory: 1011 2022/11/02 12:24:01 - mmengine - INFO - Epoch(val) [20][80/500] eta: 0:00:30 time: 0.0715 data_time: 0.0026 memory: 1011 2022/11/02 12:24:02 - mmengine - INFO - Epoch(val) [20][85/500] eta: 0:00:30 time: 0.0613 data_time: 0.0025 memory: 1011 2022/11/02 12:24:02 - mmengine - INFO - Epoch(val) [20][90/500] eta: 0:00:30 time: 0.0734 data_time: 0.0024 memory: 1011 2022/11/02 12:24:03 - mmengine - INFO - Epoch(val) [20][95/500] eta: 0:00:30 time: 0.0822 data_time: 0.0024 memory: 1011 2022/11/02 12:24:03 - mmengine - INFO - Epoch(val) [20][100/500] eta: 0:00:29 time: 0.0746 data_time: 0.0025 memory: 1011 2022/11/02 12:24:03 - mmengine - INFO - Epoch(val) [20][105/500] eta: 0:00:29 time: 0.0768 data_time: 0.0026 memory: 1011 2022/11/02 12:24:04 - mmengine - INFO - Epoch(val) [20][110/500] eta: 0:00:29 time: 0.0745 data_time: 0.0024 memory: 1011 2022/11/02 12:24:04 - mmengine - INFO - Epoch(val) [20][115/500] eta: 0:00:29 time: 0.0897 data_time: 0.0024 memory: 1011 2022/11/02 12:24:05 - mmengine - INFO - Epoch(val) [20][120/500] eta: 0:00:32 time: 0.0857 data_time: 0.0025 memory: 1011 2022/11/02 12:24:05 - mmengine - INFO - Epoch(val) [20][125/500] eta: 0:00:32 time: 0.0628 data_time: 0.0027 memory: 1011 2022/11/02 12:24:05 - mmengine - INFO - Epoch(val) [20][130/500] eta: 0:00:22 time: 0.0597 data_time: 0.0029 memory: 1011 2022/11/02 12:24:05 - mmengine - INFO - Epoch(val) [20][135/500] eta: 0:00:22 time: 0.0583 data_time: 0.0026 memory: 1011 2022/11/02 12:24:06 - mmengine - INFO - Epoch(val) [20][140/500] eta: 0:00:24 time: 0.0678 data_time: 0.0024 memory: 1011 2022/11/02 12:24:06 - mmengine - INFO - Epoch(val) [20][145/500] eta: 0:00:24 time: 0.0798 data_time: 0.0024 memory: 1011 2022/11/02 12:24:07 - mmengine - INFO - Epoch(val) [20][150/500] eta: 0:00:28 time: 0.0826 data_time: 0.0024 memory: 1011 2022/11/02 12:24:07 - mmengine - INFO - Epoch(val) [20][155/500] eta: 0:00:28 time: 0.0757 data_time: 0.0025 memory: 1011 2022/11/02 12:24:07 - mmengine - INFO - Epoch(val) [20][160/500] eta: 0:00:27 time: 0.0823 data_time: 0.0025 memory: 1011 2022/11/02 12:24:08 - mmengine - INFO - Epoch(val) [20][165/500] eta: 0:00:27 time: 0.0971 data_time: 0.0027 memory: 1011 2022/11/02 12:24:08 - mmengine - INFO - Epoch(val) [20][170/500] eta: 0:00:31 time: 0.0961 data_time: 0.0026 memory: 1011 2022/11/02 12:24:09 - mmengine - INFO - Epoch(val) [20][175/500] eta: 0:00:31 time: 0.0788 data_time: 0.0025 memory: 1011 2022/11/02 12:24:09 - mmengine - INFO - Epoch(val) [20][180/500] eta: 0:00:20 time: 0.0639 data_time: 0.0026 memory: 1011 2022/11/02 12:24:09 - mmengine - INFO - Epoch(val) [20][185/500] eta: 0:00:20 time: 0.0722 data_time: 0.0025 memory: 1011 2022/11/02 12:24:10 - mmengine - INFO - Epoch(val) [20][190/500] eta: 0:00:23 time: 0.0746 data_time: 0.0025 memory: 1011 2022/11/02 12:24:10 - mmengine - INFO - Epoch(val) [20][195/500] eta: 0:00:23 time: 0.0678 data_time: 0.0025 memory: 1011 2022/11/02 12:24:11 - mmengine - INFO - Epoch(val) [20][200/500] eta: 0:00:23 time: 0.0768 data_time: 0.0024 memory: 1011 2022/11/02 12:24:11 - mmengine - INFO - Epoch(val) [20][205/500] eta: 0:00:23 time: 0.0747 data_time: 0.0024 memory: 1011 2022/11/02 12:24:11 - mmengine - INFO - Epoch(val) 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0:00:21 time: 0.0840 data_time: 0.0025 memory: 1011 2022/11/02 12:24:15 - mmengine - INFO - Epoch(val) [20][255/500] eta: 0:00:21 time: 0.0802 data_time: 0.0024 memory: 1011 2022/11/02 12:24:15 - mmengine - INFO - Epoch(val) [20][260/500] eta: 0:00:16 time: 0.0688 data_time: 0.0026 memory: 1011 2022/11/02 12:24:15 - mmengine - INFO - Epoch(val) [20][265/500] eta: 0:00:16 time: 0.0892 data_time: 0.0028 memory: 1011 2022/11/02 12:24:16 - mmengine - INFO - Epoch(val) [20][270/500] eta: 0:00:21 time: 0.0941 data_time: 0.0031 memory: 1011 2022/11/02 12:24:16 - mmengine - INFO - Epoch(val) [20][275/500] eta: 0:00:21 time: 0.0708 data_time: 0.0032 memory: 1011 2022/11/02 12:24:16 - mmengine - INFO - Epoch(val) [20][280/500] eta: 0:00:14 time: 0.0662 data_time: 0.0032 memory: 1011 2022/11/02 12:24:17 - mmengine - INFO - Epoch(val) [20][285/500] eta: 0:00:14 time: 0.0689 data_time: 0.0033 memory: 1011 2022/11/02 12:24:17 - mmengine - INFO - Epoch(val) [20][290/500] eta: 0:00:17 time: 0.0817 data_time: 0.0039 memory: 1011 2022/11/02 12:24:18 - mmengine - INFO - Epoch(val) [20][295/500] eta: 0:00:17 time: 0.0806 data_time: 0.0036 memory: 1011 2022/11/02 12:24:18 - mmengine - INFO - Epoch(val) [20][300/500] eta: 0:00:15 time: 0.0769 data_time: 0.0027 memory: 1011 2022/11/02 12:24:18 - mmengine - INFO - Epoch(val) [20][305/500] eta: 0:00:15 time: 0.0737 data_time: 0.0023 memory: 1011 2022/11/02 12:24:19 - mmengine - INFO - Epoch(val) [20][310/500] eta: 0:00:11 time: 0.0625 data_time: 0.0024 memory: 1011 2022/11/02 12:24:19 - mmengine - INFO - Epoch(val) [20][315/500] eta: 0:00:11 time: 0.0700 data_time: 0.0025 memory: 1011 2022/11/02 12:24:19 - mmengine - INFO - Epoch(val) [20][320/500] eta: 0:00:14 time: 0.0779 data_time: 0.0024 memory: 1011 2022/11/02 12:24:20 - mmengine - INFO - Epoch(val) [20][325/500] eta: 0:00:14 time: 0.1044 data_time: 0.0031 memory: 1011 2022/11/02 12:24:20 - mmengine - INFO - Epoch(val) [20][330/500] eta: 0:00:16 time: 0.0965 data_time: 0.0031 memory: 1011 2022/11/02 12:24:21 - mmengine - INFO - Epoch(val) [20][335/500] eta: 0:00:16 time: 0.0591 data_time: 0.0023 memory: 1011 2022/11/02 12:24:21 - mmengine - INFO - Epoch(val) [20][340/500] eta: 0:00:12 time: 0.0783 data_time: 0.0023 memory: 1011 2022/11/02 12:24:22 - mmengine - INFO - Epoch(val) [20][345/500] eta: 0:00:12 time: 0.0870 data_time: 0.0026 memory: 1011 2022/11/02 12:24:22 - mmengine - INFO - Epoch(val) [20][350/500] eta: 0:00:10 time: 0.0730 data_time: 0.0026 memory: 1011 2022/11/02 12:24:22 - mmengine - INFO - Epoch(val) [20][355/500] eta: 0:00:10 time: 0.0674 data_time: 0.0024 memory: 1011 2022/11/02 12:24:23 - mmengine - INFO - Epoch(val) [20][360/500] eta: 0:00:08 time: 0.0593 data_time: 0.0024 memory: 1011 2022/11/02 12:24:23 - mmengine - INFO - Epoch(val) [20][365/500] eta: 0:00:08 time: 0.0623 data_time: 0.0025 memory: 1011 2022/11/02 12:24:23 - mmengine - INFO - Epoch(val) [20][370/500] eta: 0:00:09 time: 0.0708 data_time: 0.0024 memory: 1011 2022/11/02 12:24:24 - mmengine - INFO - Epoch(val) [20][375/500] eta: 0:00:09 time: 0.0756 data_time: 0.0026 memory: 1011 2022/11/02 12:24:24 - mmengine - INFO - Epoch(val) [20][380/500] eta: 0:00:09 time: 0.0827 data_time: 0.0027 memory: 1011 2022/11/02 12:24:24 - mmengine - INFO - Epoch(val) [20][385/500] eta: 0:00:09 time: 0.0751 data_time: 0.0025 memory: 1011 2022/11/02 12:24:25 - mmengine - INFO - Epoch(val) [20][390/500] eta: 0:00:09 time: 0.0877 data_time: 0.0024 memory: 1011 2022/11/02 12:24:25 - mmengine - INFO - Epoch(val) [20][395/500] eta: 0:00:09 time: 0.0868 data_time: 0.0023 memory: 1011 2022/11/02 12:24:26 - mmengine - INFO - Epoch(val) [20][400/500] eta: 0:00:06 time: 0.0686 data_time: 0.0024 memory: 1011 2022/11/02 12:24:26 - mmengine - INFO - Epoch(val) [20][405/500] eta: 0:00:06 time: 0.0716 data_time: 0.0024 memory: 1011 2022/11/02 12:24:26 - mmengine - INFO - Epoch(val) [20][410/500] eta: 0:00:06 time: 0.0682 data_time: 0.0023 memory: 1011 2022/11/02 12:24:27 - mmengine - INFO - Epoch(val) [20][415/500] eta: 0:00:06 time: 0.0596 data_time: 0.0023 memory: 1011 2022/11/02 12:24:27 - mmengine - INFO - Epoch(val) [20][420/500] eta: 0:00:05 time: 0.0712 data_time: 0.0061 memory: 1011 2022/11/02 12:24:27 - mmengine - INFO - Epoch(val) [20][425/500] eta: 0:00:05 time: 0.0797 data_time: 0.0058 memory: 1011 2022/11/02 12:24:28 - mmengine - INFO - Epoch(val) [20][430/500] eta: 0:00:05 time: 0.0719 data_time: 0.0022 memory: 1011 2022/11/02 12:24:28 - mmengine - INFO - Epoch(val) [20][435/500] eta: 0:00:05 time: 0.0711 data_time: 0.0026 memory: 1011 2022/11/02 12:24:28 - mmengine - INFO - Epoch(val) [20][440/500] eta: 0:00:03 time: 0.0619 data_time: 0.0024 memory: 1011 2022/11/02 12:24:29 - mmengine - INFO - Epoch(val) [20][445/500] eta: 0:00:03 time: 0.0679 data_time: 0.0024 memory: 1011 2022/11/02 12:24:29 - mmengine - INFO - Epoch(val) [20][450/500] eta: 0:00:03 time: 0.0773 data_time: 0.0024 memory: 1011 2022/11/02 12:24:30 - mmengine - INFO - Epoch(val) [20][455/500] eta: 0:00:03 time: 0.0759 data_time: 0.0024 memory: 1011 2022/11/02 12:24:30 - mmengine - INFO - Epoch(val) [20][460/500] eta: 0:00:02 time: 0.0686 data_time: 0.0025 memory: 1011 2022/11/02 12:24:30 - mmengine - INFO - Epoch(val) [20][465/500] eta: 0:00:02 time: 0.0666 data_time: 0.0024 memory: 1011 2022/11/02 12:24:31 - mmengine - INFO - Epoch(val) [20][470/500] eta: 0:00:02 time: 0.0756 data_time: 0.0025 memory: 1011 2022/11/02 12:24:31 - mmengine - INFO - Epoch(val) [20][475/500] eta: 0:00:02 time: 0.0664 data_time: 0.0025 memory: 1011 2022/11/02 12:24:31 - mmengine - INFO - Epoch(val) [20][480/500] eta: 0:00:01 time: 0.0597 data_time: 0.0023 memory: 1011 2022/11/02 12:24:32 - mmengine - INFO - Epoch(val) [20][485/500] eta: 0:00:01 time: 0.0726 data_time: 0.0024 memory: 1011 2022/11/02 12:24:32 - mmengine - INFO - Epoch(val) [20][490/500] eta: 0:00:00 time: 0.0894 data_time: 0.0023 memory: 1011 2022/11/02 12:24:33 - mmengine - INFO - Epoch(val) [20][495/500] eta: 0:00:00 time: 0.0961 data_time: 0.0023 memory: 1011 2022/11/02 12:24:33 - mmengine - INFO - Epoch(val) [20][500/500] eta: 0:00:00 time: 0.0808 data_time: 0.0024 memory: 1011 2022/11/02 12:24:33 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 12:24:33 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.4039, precision: 0.1187, hmean: 0.1834 2022/11/02 12:24:33 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.1969, precision: 0.6188, hmean: 0.2988 2022/11/02 12:24:33 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0034, precision: 0.5000, hmean: 0.0067 2022/11/02 12:24:33 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 12:24:33 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 12:24:33 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 12:24:33 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 12:24:33 - mmengine - INFO - Epoch(val) [20][500/500] icdar/precision: 0.6188 icdar/recall: 0.1969 icdar/hmean: 0.2988 2022/11/02 12:24:38 - mmengine - INFO - Epoch(train) [21][5/63] lr: 4.0564e-04 eta: 0:00:00 time: 0.6909 data_time: 0.1867 memory: 16395 loss: 4.2322 loss_prob: 2.6611 loss_thr: 1.0135 loss_db: 0.5576 2022/11/02 12:24:41 - mmengine - INFO - Epoch(train) [21][10/63] lr: 4.0564e-04 eta: 19:22:23 time: 0.7811 data_time: 0.1979 memory: 16395 loss: 4.1126 loss_prob: 2.6143 loss_thr: 1.0033 loss_db: 0.4950 2022/11/02 12:24:43 - mmengine - INFO - Epoch(train) [21][15/63] lr: 4.0564e-04 eta: 19:22:23 time: 0.5807 data_time: 0.0240 memory: 16395 loss: 4.2415 loss_prob: 2.6773 loss_thr: 1.0285 loss_db: 0.5357 2022/11/02 12:24:46 - mmengine - INFO - Epoch(train) [21][20/63] lr: 4.0564e-04 eta: 19:18:05 time: 0.5097 data_time: 0.0116 memory: 16395 loss: 4.2529 loss_prob: 2.6979 loss_thr: 1.0275 loss_db: 0.5274 2022/11/02 12:24:48 - mmengine - INFO - Epoch(train) [21][25/63] lr: 4.0564e-04 eta: 19:18:05 time: 0.4983 data_time: 0.0116 memory: 16395 loss: 4.0460 loss_prob: 2.5871 loss_thr: 0.9943 loss_db: 0.4647 2022/11/02 12:24:51 - mmengine - INFO - Epoch(train) [21][30/63] lr: 4.0564e-04 eta: 19:13:58 time: 0.5238 data_time: 0.0226 memory: 16395 loss: 4.0998 loss_prob: 2.5546 loss_thr: 1.0371 loss_db: 0.5081 2022/11/02 12:24:54 - mmengine - INFO - Epoch(train) [21][35/63] lr: 4.0564e-04 eta: 19:13:58 time: 0.5388 data_time: 0.0251 memory: 16395 loss: 4.2540 loss_prob: 2.6557 loss_thr: 1.0475 loss_db: 0.5508 2022/11/02 12:24:56 - mmengine - INFO - Epoch(train) [21][40/63] lr: 4.0564e-04 eta: 19:10:02 time: 0.5345 data_time: 0.0283 memory: 16395 loss: 4.0184 loss_prob: 2.5523 loss_thr: 0.9921 loss_db: 0.4741 2022/11/02 12:24:59 - mmengine - INFO - Epoch(train) [21][45/63] lr: 4.0564e-04 eta: 19:10:02 time: 0.5490 data_time: 0.0212 memory: 16395 loss: 3.8693 loss_prob: 2.4665 loss_thr: 0.9583 loss_db: 0.4445 2022/11/02 12:25:02 - mmengine - INFO - Epoch(train) [21][50/63] lr: 4.0564e-04 eta: 19:05:59 time: 0.5164 data_time: 0.0087 memory: 16395 loss: 3.8077 loss_prob: 2.4255 loss_thr: 0.9536 loss_db: 0.4286 2022/11/02 12:25:04 - mmengine - INFO - Epoch(train) [21][55/63] lr: 4.0564e-04 eta: 19:05:59 time: 0.4997 data_time: 0.0063 memory: 16395 loss: 3.7356 loss_prob: 2.3590 loss_thr: 0.9689 loss_db: 0.4077 2022/11/02 12:25:07 - mmengine - INFO - Epoch(train) [21][60/63] lr: 4.0564e-04 eta: 19:02:13 time: 0.5414 data_time: 0.0098 memory: 16395 loss: 3.8520 loss_prob: 2.4162 loss_thr: 1.0007 loss_db: 0.4351 2022/11/02 12:25:09 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:25:15 - mmengine - INFO - Epoch(train) [22][5/63] lr: 4.2582e-04 eta: 19:02:13 time: 0.9009 data_time: 0.2630 memory: 16395 loss: 3.9299 loss_prob: 2.4788 loss_thr: 0.9546 loss_db: 0.4966 2022/11/02 12:25:18 - mmengine - INFO - Epoch(train) [22][10/63] lr: 4.2582e-04 eta: 18:59:30 time: 0.9285 data_time: 0.2592 memory: 16395 loss: 3.9644 loss_prob: 2.4979 loss_thr: 0.9596 loss_db: 0.5069 2022/11/02 12:25:21 - mmengine - INFO - Epoch(train) [22][15/63] lr: 4.2582e-04 eta: 18:59:30 time: 0.5963 data_time: 0.0049 memory: 16395 loss: 4.1951 loss_prob: 2.6250 loss_thr: 0.9987 loss_db: 0.5715 2022/11/02 12:25:24 - mmengine - INFO - Epoch(train) [22][20/63] lr: 4.2582e-04 eta: 18:56:11 time: 0.5766 data_time: 0.0047 memory: 16395 loss: 4.4985 loss_prob: 2.8004 loss_thr: 1.0532 loss_db: 0.6449 2022/11/02 12:25:27 - mmengine - INFO - Epoch(train) [22][25/63] lr: 4.2582e-04 eta: 18:56:11 time: 0.6264 data_time: 0.0301 memory: 16395 loss: 4.1997 loss_prob: 2.6434 loss_thr: 1.0287 loss_db: 0.5276 2022/11/02 12:25:31 - mmengine - INFO - Epoch(train) [22][30/63] lr: 4.2582e-04 eta: 18:54:04 time: 0.7032 data_time: 0.0298 memory: 16395 loss: 4.2631 loss_prob: 2.7063 loss_thr: 1.0166 loss_db: 0.5402 2022/11/02 12:25:33 - mmengine - INFO - Epoch(train) [22][35/63] lr: 4.2582e-04 eta: 18:54:04 time: 0.6252 data_time: 0.0111 memory: 16395 loss: 5.1692 loss_prob: 3.2153 loss_thr: 1.1432 loss_db: 0.8108 2022/11/02 12:25:37 - mmengine - INFO - Epoch(train) [22][40/63] lr: 4.2582e-04 eta: 18:51:07 time: 0.6093 data_time: 0.0110 memory: 16395 loss: 5.6778 loss_prob: 3.4456 loss_thr: 1.2338 loss_db: 0.9984 2022/11/02 12:25:40 - mmengine - INFO - Epoch(train) [22][45/63] lr: 4.2582e-04 eta: 18:51:07 time: 0.6412 data_time: 0.0067 memory: 16395 loss: 5.6302 loss_prob: 3.3567 loss_thr: 1.2746 loss_db: 0.9989 2022/11/02 12:25:43 - mmengine - INFO - Epoch(train) [22][50/63] lr: 4.2582e-04 eta: 18:48:30 time: 0.6394 data_time: 0.0233 memory: 16395 loss: 5.5573 loss_prob: 3.2793 loss_thr: 1.2785 loss_db: 0.9994 2022/11/02 12:25:46 - mmengine - INFO - Epoch(train) [22][55/63] lr: 4.2582e-04 eta: 18:48:30 time: 0.6754 data_time: 0.0205 memory: 16395 loss: 5.3915 loss_prob: 3.1674 loss_thr: 1.2245 loss_db: 0.9996 2022/11/02 12:25:50 - mmengine - INFO - Epoch(train) [22][60/63] lr: 4.2582e-04 eta: 18:46:24 time: 0.6953 data_time: 0.0069 memory: 16395 loss: 5.3082 loss_prob: 3.0955 loss_thr: 1.2130 loss_db: 0.9997 2022/11/02 12:25:51 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:25:57 - mmengine - INFO - Epoch(train) [23][5/63] lr: 4.4600e-04 eta: 18:46:24 time: 0.8895 data_time: 0.2499 memory: 16395 loss: 5.3111 loss_prob: 3.1233 loss_thr: 1.1879 loss_db: 0.9998 2022/11/02 12:26:00 - mmengine - INFO - Epoch(train) [23][10/63] lr: 4.4600e-04 eta: 18:43:32 time: 0.8818 data_time: 0.2505 memory: 16395 loss: 5.3184 loss_prob: 3.1281 loss_thr: 1.1903 loss_db: 0.9999 2022/11/02 12:26:03 - mmengine - INFO - Epoch(train) [23][15/63] lr: 4.4600e-04 eta: 18:43:32 time: 0.5913 data_time: 0.0074 memory: 16395 loss: 5.2956 loss_prob: 3.0986 loss_thr: 1.1971 loss_db: 0.9999 2022/11/02 12:26:08 - mmengine - INFO - Epoch(train) [23][20/63] lr: 4.4600e-04 eta: 18:41:52 time: 0.7371 data_time: 0.0063 memory: 16395 loss: 5.3254 loss_prob: 3.1058 loss_thr: 1.2197 loss_db: 0.9999 2022/11/02 12:26:11 - mmengine - INFO - Epoch(train) [23][25/63] lr: 4.4600e-04 eta: 18:41:52 time: 0.7535 data_time: 0.0241 memory: 16395 loss: 5.3288 loss_prob: 3.1116 loss_thr: 1.2173 loss_db: 0.9999 2022/11/02 12:26:14 - mmengine - INFO - Epoch(train) [23][30/63] lr: 4.4600e-04 eta: 18:39:07 time: 0.6090 data_time: 0.0314 memory: 16395 loss: 5.2889 loss_prob: 3.1055 loss_thr: 1.1835 loss_db: 1.0000 2022/11/02 12:26:16 - mmengine - INFO - Epoch(train) [23][35/63] lr: 4.4600e-04 eta: 18:39:07 time: 0.5486 data_time: 0.0122 memory: 16395 loss: 5.2797 loss_prob: 3.1089 loss_thr: 1.1708 loss_db: 1.0000 2022/11/02 12:26:19 - mmengine - INFO - Epoch(train) [23][40/63] lr: 4.4600e-04 eta: 18:35:42 time: 0.5288 data_time: 0.0099 memory: 16395 loss: 5.2640 loss_prob: 3.0995 loss_thr: 1.1645 loss_db: 1.0000 2022/11/02 12:26:22 - mmengine - INFO - Epoch(train) [23][45/63] lr: 4.4600e-04 eta: 18:35:42 time: 0.5134 data_time: 0.0102 memory: 16395 loss: 5.2637 loss_prob: 3.0849 loss_thr: 1.1788 loss_db: 1.0000 2022/11/02 12:26:25 - mmengine - INFO - Epoch(train) [23][50/63] lr: 4.4600e-04 eta: 18:32:33 time: 0.5531 data_time: 0.0261 memory: 16395 loss: 5.3120 loss_prob: 3.1382 loss_thr: 1.1739 loss_db: 1.0000 2022/11/02 12:26:27 - mmengine - INFO - Epoch(train) [23][55/63] lr: 4.4600e-04 eta: 18:32:33 time: 0.5704 data_time: 0.0321 memory: 16395 loss: 5.3698 loss_prob: 3.1996 loss_thr: 1.1702 loss_db: 1.0000 2022/11/02 12:26:30 - mmengine - INFO - Epoch(train) [23][60/63] lr: 4.4600e-04 eta: 18:29:07 time: 0.5170 data_time: 0.0105 memory: 16395 loss: 5.3523 loss_prob: 3.1796 loss_thr: 1.1727 loss_db: 1.0000 2022/11/02 12:26:31 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:26:36 - mmengine - INFO - Epoch(train) [24][5/63] lr: 4.6618e-04 eta: 18:29:07 time: 0.7158 data_time: 0.2130 memory: 16395 loss: 5.2531 loss_prob: 3.0874 loss_thr: 1.1658 loss_db: 0.9999 2022/11/02 12:26:39 - mmengine - INFO - Epoch(train) [24][10/63] lr: 4.6618e-04 eta: 18:25:31 time: 0.7636 data_time: 0.2127 memory: 16395 loss: 5.2363 loss_prob: 3.0627 loss_thr: 1.1738 loss_db: 0.9999 2022/11/02 12:26:41 - mmengine - INFO - Epoch(train) [24][15/63] lr: 4.6618e-04 eta: 18:25:31 time: 0.5392 data_time: 0.0078 memory: 16395 loss: 5.2308 loss_prob: 3.0589 loss_thr: 1.1719 loss_db: 1.0000 2022/11/02 12:26:44 - mmengine - INFO - Epoch(train) [24][20/63] lr: 4.6618e-04 eta: 18:22:27 time: 0.5489 data_time: 0.0084 memory: 16395 loss: 5.2209 loss_prob: 3.0572 loss_thr: 1.1637 loss_db: 1.0000 2022/11/02 12:26:47 - mmengine - INFO - Epoch(train) [24][25/63] lr: 4.6618e-04 eta: 18:22:27 time: 0.5660 data_time: 0.0310 memory: 16395 loss: 5.1964 loss_prob: 3.0404 loss_thr: 1.1561 loss_db: 0.9999 2022/11/02 12:26:50 - mmengine - INFO - Epoch(train) [24][30/63] lr: 4.6618e-04 eta: 18:19:53 time: 0.6027 data_time: 0.0315 memory: 16395 loss: 5.2726 loss_prob: 3.0628 loss_thr: 1.2099 loss_db: 0.9999 2022/11/02 12:26:53 - mmengine - INFO - Epoch(train) [24][35/63] lr: 4.6618e-04 eta: 18:19:53 time: 0.5810 data_time: 0.0102 memory: 16395 loss: 5.2916 loss_prob: 3.0439 loss_thr: 1.2479 loss_db: 0.9999 2022/11/02 12:26:55 - mmengine - INFO - Epoch(train) [24][40/63] lr: 4.6618e-04 eta: 18:16:37 time: 0.5146 data_time: 0.0088 memory: 16395 loss: 5.1874 loss_prob: 2.9950 loss_thr: 1.1924 loss_db: 1.0000 2022/11/02 12:26:58 - mmengine - INFO - Epoch(train) [24][45/63] lr: 4.6618e-04 eta: 18:16:37 time: 0.4909 data_time: 0.0043 memory: 16395 loss: 5.1513 loss_prob: 2.9931 loss_thr: 1.1583 loss_db: 1.0000 2022/11/02 12:27:01 - mmengine - INFO - Epoch(train) [24][50/63] lr: 4.6618e-04 eta: 18:13:33 time: 0.5333 data_time: 0.0164 memory: 16395 loss: 5.1858 loss_prob: 2.9947 loss_thr: 1.1910 loss_db: 1.0000 2022/11/02 12:27:03 - mmengine - INFO - Epoch(train) [24][55/63] lr: 4.6618e-04 eta: 18:13:33 time: 0.5514 data_time: 0.0201 memory: 16395 loss: 5.1977 loss_prob: 3.0072 loss_thr: 1.1906 loss_db: 1.0000 2022/11/02 12:27:06 - mmengine - INFO - Epoch(train) [24][60/63] lr: 4.6618e-04 eta: 18:10:51 time: 0.5726 data_time: 0.0098 memory: 16395 loss: 5.1745 loss_prob: 3.0078 loss_thr: 1.1668 loss_db: 1.0000 2022/11/02 12:27:08 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:27:13 - mmengine - INFO - Epoch(train) [25][5/63] lr: 4.8636e-04 eta: 18:10:51 time: 0.7492 data_time: 0.1958 memory: 16395 loss: 5.1757 loss_prob: 3.0080 loss_thr: 1.1677 loss_db: 1.0000 2022/11/02 12:27:15 - mmengine - INFO - Epoch(train) [25][10/63] lr: 4.8636e-04 eta: 18:07:38 time: 0.7770 data_time: 0.1966 memory: 16395 loss: 5.1813 loss_prob: 3.0162 loss_thr: 1.1652 loss_db: 1.0000 2022/11/02 12:27:18 - mmengine - INFO - Epoch(train) [25][15/63] lr: 4.8636e-04 eta: 18:07:38 time: 0.5719 data_time: 0.0075 memory: 16395 loss: 5.1939 loss_prob: 3.0292 loss_thr: 1.1647 loss_db: 1.0000 2022/11/02 12:27:21 - mmengine - INFO - Epoch(train) [25][20/63] lr: 4.8636e-04 eta: 18:04:50 time: 0.5508 data_time: 0.0070 memory: 16395 loss: 5.2085 loss_prob: 3.0403 loss_thr: 1.1682 loss_db: 1.0000 2022/11/02 12:27:23 - mmengine - INFO - Epoch(train) [25][25/63] lr: 4.8636e-04 eta: 18:04:50 time: 0.5066 data_time: 0.0097 memory: 16395 loss: 5.2087 loss_prob: 3.0442 loss_thr: 1.1645 loss_db: 0.9999 2022/11/02 12:27:27 - mmengine - INFO - Epoch(train) [25][30/63] lr: 4.8636e-04 eta: 18:02:09 time: 0.5626 data_time: 0.0355 memory: 16395 loss: 5.2466 loss_prob: 3.0720 loss_thr: 1.1746 loss_db: 0.9999 2022/11/02 12:27:29 - mmengine - INFO - Epoch(train) [25][35/63] lr: 4.8636e-04 eta: 18:02:09 time: 0.5542 data_time: 0.0315 memory: 16395 loss: 5.3071 loss_prob: 3.1174 loss_thr: 1.1898 loss_db: 0.9999 2022/11/02 12:27:32 - mmengine - INFO - Epoch(train) [25][40/63] lr: 4.8636e-04 eta: 17:59:02 time: 0.5030 data_time: 0.0052 memory: 16395 loss: 5.2782 loss_prob: 3.1050 loss_thr: 1.1733 loss_db: 0.9999 2022/11/02 12:27:34 - mmengine - INFO - Epoch(train) [25][45/63] lr: 4.8636e-04 eta: 17:59:02 time: 0.5351 data_time: 0.0043 memory: 16395 loss: 5.2193 loss_prob: 3.0525 loss_thr: 1.1670 loss_db: 0.9999 2022/11/02 12:27:37 - mmengine - INFO - Epoch(train) [25][50/63] lr: 4.8636e-04 eta: 17:56:15 time: 0.5407 data_time: 0.0140 memory: 16395 loss: 5.1722 loss_prob: 3.0125 loss_thr: 1.1598 loss_db: 0.9998 2022/11/02 12:27:40 - mmengine - INFO - Epoch(train) [25][55/63] lr: 4.8636e-04 eta: 17:56:15 time: 0.5317 data_time: 0.0192 memory: 16395 loss: 5.1282 loss_prob: 2.9851 loss_thr: 1.1434 loss_db: 0.9997 2022/11/02 12:27:42 - mmengine - INFO - Epoch(train) [25][60/63] lr: 4.8636e-04 eta: 17:53:34 time: 0.5475 data_time: 0.0106 memory: 16395 loss: 5.1415 loss_prob: 2.9798 loss_thr: 1.1624 loss_db: 0.9992 2022/11/02 12:27:44 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:27:49 - mmengine - INFO - Epoch(train) [26][5/63] lr: 5.0655e-04 eta: 17:53:34 time: 0.7823 data_time: 0.1819 memory: 16395 loss: 5.1180 loss_prob: 2.9602 loss_thr: 1.1586 loss_db: 0.9992 2022/11/02 12:27:52 - mmengine - INFO - Epoch(train) [26][10/63] lr: 5.0655e-04 eta: 17:51:06 time: 0.8383 data_time: 0.1906 memory: 16395 loss: 5.1838 loss_prob: 2.9968 loss_thr: 1.1871 loss_db: 0.9998 2022/11/02 12:27:55 - mmengine - INFO - Epoch(train) [26][15/63] lr: 5.0655e-04 eta: 17:51:06 time: 0.5588 data_time: 0.0158 memory: 16395 loss: 5.1895 loss_prob: 3.0082 loss_thr: 1.1813 loss_db: 0.9999 2022/11/02 12:27:57 - mmengine - INFO - Epoch(train) [26][20/63] lr: 5.0655e-04 eta: 17:48:16 time: 0.5204 data_time: 0.0061 memory: 16395 loss: 5.1065 loss_prob: 2.9582 loss_thr: 1.1485 loss_db: 0.9998 2022/11/02 12:28:00 - mmengine - INFO - Epoch(train) [26][25/63] lr: 5.0655e-04 eta: 17:48:16 time: 0.5326 data_time: 0.0121 memory: 16395 loss: 5.0806 loss_prob: 2.9327 loss_thr: 1.1483 loss_db: 0.9996 2022/11/02 12:28:03 - mmengine - INFO - Epoch(train) [26][30/63] lr: 5.0655e-04 eta: 17:45:47 time: 0.5620 data_time: 0.0239 memory: 16395 loss: 5.0741 loss_prob: 2.9225 loss_thr: 1.1518 loss_db: 0.9997 2022/11/02 12:28:06 - mmengine - INFO - Epoch(train) [26][35/63] lr: 5.0655e-04 eta: 17:45:47 time: 0.5671 data_time: 0.0250 memory: 16395 loss: 5.0601 loss_prob: 2.9104 loss_thr: 1.1498 loss_db: 0.9999 2022/11/02 12:28:08 - mmengine - INFO - Epoch(train) [26][40/63] lr: 5.0655e-04 eta: 17:43:14 time: 0.5489 data_time: 0.0140 memory: 16395 loss: 5.0648 loss_prob: 2.9138 loss_thr: 1.1512 loss_db: 0.9998 2022/11/02 12:28:11 - mmengine - INFO - Epoch(train) [26][45/63] lr: 5.0655e-04 eta: 17:43:14 time: 0.4938 data_time: 0.0053 memory: 16395 loss: 5.0898 loss_prob: 2.9330 loss_thr: 1.1581 loss_db: 0.9987 2022/11/02 12:28:13 - mmengine - INFO - Epoch(train) [26][50/63] lr: 5.0655e-04 eta: 17:40:20 time: 0.5000 data_time: 0.0085 memory: 16395 loss: 5.1214 loss_prob: 2.9700 loss_thr: 1.1526 loss_db: 0.9988 2022/11/02 12:28:16 - mmengine - INFO - Epoch(train) [26][55/63] lr: 5.0655e-04 eta: 17:40:20 time: 0.5459 data_time: 0.0257 memory: 16395 loss: 5.1462 loss_prob: 2.9908 loss_thr: 1.1555 loss_db: 0.9999 2022/11/02 12:28:19 - mmengine - INFO - Epoch(train) [26][60/63] lr: 5.0655e-04 eta: 17:37:44 time: 0.5348 data_time: 0.0213 memory: 16395 loss: 5.1701 loss_prob: 2.9969 loss_thr: 1.1734 loss_db: 0.9998 2022/11/02 12:28:20 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:28:26 - mmengine - INFO - Epoch(train) [27][5/63] lr: 5.2673e-04 eta: 17:37:44 time: 0.7936 data_time: 0.2681 memory: 16395 loss: 5.1851 loss_prob: 3.0132 loss_thr: 1.1720 loss_db: 0.9999 2022/11/02 12:28:28 - mmengine - INFO - Epoch(train) [27][10/63] lr: 5.2673e-04 eta: 17:35:19 time: 0.8168 data_time: 0.2746 memory: 16395 loss: 5.1283 loss_prob: 2.9795 loss_thr: 1.1488 loss_db: 0.9999 2022/11/02 12:28:31 - mmengine - INFO - Epoch(train) [27][15/63] lr: 5.2673e-04 eta: 17:35:19 time: 0.5040 data_time: 0.0121 memory: 16395 loss: 5.0887 loss_prob: 2.9573 loss_thr: 1.1318 loss_db: 0.9997 2022/11/02 12:28:33 - mmengine - INFO - Epoch(train) [27][20/63] lr: 5.2673e-04 eta: 17:32:32 time: 0.5002 data_time: 0.0043 memory: 16395 loss: 5.1067 loss_prob: 2.9636 loss_thr: 1.1448 loss_db: 0.9983 2022/11/02 12:28:36 - mmengine - INFO - Epoch(train) [27][25/63] lr: 5.2673e-04 eta: 17:32:32 time: 0.5138 data_time: 0.0178 memory: 16395 loss: 5.1166 loss_prob: 2.9676 loss_thr: 1.1522 loss_db: 0.9967 2022/11/02 12:28:39 - mmengine - INFO - Epoch(train) [27][30/63] lr: 5.2673e-04 eta: 17:30:03 time: 0.5373 data_time: 0.0331 memory: 16395 loss: 5.1085 loss_prob: 2.9619 loss_thr: 1.1493 loss_db: 0.9973 2022/11/02 12:28:41 - mmengine - INFO - Epoch(train) [27][35/63] lr: 5.2673e-04 eta: 17:30:03 time: 0.5364 data_time: 0.0196 memory: 16395 loss: 5.1026 loss_prob: 2.9455 loss_thr: 1.1653 loss_db: 0.9918 2022/11/02 12:28:44 - mmengine - INFO - Epoch(train) [27][40/63] lr: 5.2673e-04 eta: 17:27:33 time: 0.5323 data_time: 0.0092 memory: 16395 loss: 5.0801 loss_prob: 2.9240 loss_thr: 1.1635 loss_db: 0.9926 2022/11/02 12:28:47 - mmengine - INFO - Epoch(train) [27][45/63] lr: 5.2673e-04 eta: 17:27:33 time: 0.5333 data_time: 0.0094 memory: 16395 loss: 5.0732 loss_prob: 2.9178 loss_thr: 1.1554 loss_db: 0.9999 2022/11/02 12:28:50 - mmengine - INFO - Epoch(train) [27][50/63] lr: 5.2673e-04 eta: 17:25:27 time: 0.5815 data_time: 0.0123 memory: 16395 loss: 5.0806 loss_prob: 2.9238 loss_thr: 1.1569 loss_db: 1.0000 2022/11/02 12:28:53 - mmengine - INFO - Epoch(train) [27][55/63] lr: 5.2673e-04 eta: 17:25:27 time: 0.6219 data_time: 0.0223 memory: 16395 loss: 5.0997 loss_prob: 2.9348 loss_thr: 1.1650 loss_db: 0.9999 2022/11/02 12:28:57 - mmengine - INFO - Epoch(train) [27][60/63] lr: 5.2673e-04 eta: 17:24:04 time: 0.6769 data_time: 0.0152 memory: 16395 loss: 5.0840 loss_prob: 2.9200 loss_thr: 1.1640 loss_db: 0.9999 2022/11/02 12:28:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:29:04 - mmengine - INFO - Epoch(train) [28][5/63] lr: 5.4691e-04 eta: 17:24:04 time: 0.8518 data_time: 0.2592 memory: 16395 loss: 5.0526 loss_prob: 2.8927 loss_thr: 1.1600 loss_db: 0.9999 2022/11/02 12:29:07 - mmengine - INFO - Epoch(train) [28][10/63] lr: 5.4691e-04 eta: 17:22:26 time: 0.9007 data_time: 0.2589 memory: 16395 loss: 5.0567 loss_prob: 2.8975 loss_thr: 1.1592 loss_db: 0.9999 2022/11/02 12:29:10 - mmengine - INFO - Epoch(train) [28][15/63] lr: 5.4691e-04 eta: 17:22:26 time: 0.6471 data_time: 0.0067 memory: 16395 loss: 5.0504 loss_prob: 2.8985 loss_thr: 1.1520 loss_db: 0.9999 2022/11/02 12:29:13 - mmengine - INFO - Epoch(train) [28][20/63] lr: 5.4691e-04 eta: 17:20:37 time: 0.6118 data_time: 0.0077 memory: 16395 loss: 5.0529 loss_prob: 2.8986 loss_thr: 1.1545 loss_db: 0.9997 2022/11/02 12:29:16 - mmengine - INFO - Epoch(train) [28][25/63] lr: 5.4691e-04 eta: 17:20:37 time: 0.6093 data_time: 0.0196 memory: 16395 loss: 5.0560 loss_prob: 2.9055 loss_thr: 1.1508 loss_db: 0.9997 2022/11/02 12:29:19 - mmengine - INFO - Epoch(train) [28][30/63] lr: 5.4691e-04 eta: 17:18:56 time: 0.6280 data_time: 0.0334 memory: 16395 loss: 5.0350 loss_prob: 2.8953 loss_thr: 1.1399 loss_db: 0.9998 2022/11/02 12:29:22 - mmengine - INFO - Epoch(train) [28][35/63] lr: 5.4691e-04 eta: 17:18:56 time: 0.6152 data_time: 0.0193 memory: 16395 loss: 5.0303 loss_prob: 2.8905 loss_thr: 1.1401 loss_db: 0.9996 2022/11/02 12:29:26 - mmengine - INFO - Epoch(train) [28][40/63] lr: 5.4691e-04 eta: 17:17:18 time: 0.6339 data_time: 0.0058 memory: 16395 loss: 5.0230 loss_prob: 2.8881 loss_thr: 1.1366 loss_db: 0.9984 2022/11/02 12:29:29 - mmengine - INFO - Epoch(train) [28][45/63] lr: 5.4691e-04 eta: 17:17:18 time: 0.6312 data_time: 0.0073 memory: 16395 loss: 5.0399 loss_prob: 2.8921 loss_thr: 1.1493 loss_db: 0.9986 2022/11/02 12:29:32 - mmengine - INFO - Epoch(train) [28][50/63] lr: 5.4691e-04 eta: 17:15:58 time: 0.6716 data_time: 0.0170 memory: 16395 loss: 5.0281 loss_prob: 2.8891 loss_thr: 1.1398 loss_db: 0.9992 2022/11/02 12:29:36 - mmengine - INFO - Epoch(train) [28][55/63] lr: 5.4691e-04 eta: 17:15:58 time: 0.7356 data_time: 0.0230 memory: 16395 loss: 4.9677 loss_prob: 2.8915 loss_thr: 1.1265 loss_db: 0.9496 2022/11/02 12:29:39 - mmengine - INFO - Epoch(train) [28][60/63] lr: 5.4691e-04 eta: 17:14:25 time: 0.6411 data_time: 0.0120 memory: 16395 loss: 4.9898 loss_prob: 2.9180 loss_thr: 1.1454 loss_db: 0.9264 2022/11/02 12:29:40 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:29:46 - mmengine - INFO - Epoch(train) [29][5/63] lr: 5.6709e-04 eta: 17:14:25 time: 0.8495 data_time: 0.2413 memory: 16395 loss: 5.0989 loss_prob: 2.9366 loss_thr: 1.1740 loss_db: 0.9883 2022/11/02 12:29:49 - mmengine - INFO - Epoch(train) [29][10/63] lr: 5.6709e-04 eta: 17:12:50 time: 0.8902 data_time: 0.2390 memory: 16395 loss: 5.0730 loss_prob: 2.9342 loss_thr: 1.1566 loss_db: 0.9821 2022/11/02 12:29:52 - mmengine - INFO - Epoch(train) [29][15/63] lr: 5.6709e-04 eta: 17:12:50 time: 0.5197 data_time: 0.0059 memory: 16395 loss: 5.1065 loss_prob: 2.9550 loss_thr: 1.1600 loss_db: 0.9915 2022/11/02 12:29:54 - mmengine - INFO - Epoch(train) [29][20/63] lr: 5.6709e-04 eta: 17:10:21 time: 0.4986 data_time: 0.0072 memory: 16395 loss: 5.1164 loss_prob: 2.9430 loss_thr: 1.1735 loss_db: 0.9999 2022/11/02 12:29:57 - mmengine - INFO - Epoch(train) [29][25/63] lr: 5.6709e-04 eta: 17:10:21 time: 0.5193 data_time: 0.0279 memory: 16395 loss: 5.0962 loss_prob: 2.9281 loss_thr: 1.1681 loss_db: 0.9999 2022/11/02 12:29:59 - mmengine - INFO - Epoch(train) [29][30/63] lr: 5.6709e-04 eta: 17:08:01 time: 0.5192 data_time: 0.0303 memory: 16395 loss: 5.1166 loss_prob: 2.9491 loss_thr: 1.1676 loss_db: 0.9999 2022/11/02 12:30:02 - mmengine - INFO - Epoch(train) [29][35/63] lr: 5.6709e-04 eta: 17:08:01 time: 0.4948 data_time: 0.0076 memory: 16395 loss: 5.1468 loss_prob: 2.9790 loss_thr: 1.1679 loss_db: 0.9999 2022/11/02 12:30:04 - mmengine - INFO - Epoch(train) [29][40/63] lr: 5.6709e-04 eta: 17:05:35 time: 0.4981 data_time: 0.0037 memory: 16395 loss: 5.1461 loss_prob: 2.9759 loss_thr: 1.1703 loss_db: 0.9999 2022/11/02 12:30:07 - mmengine - INFO - Epoch(train) [29][45/63] lr: 5.6709e-04 eta: 17:05:35 time: 0.5237 data_time: 0.0053 memory: 16395 loss: 5.1170 loss_prob: 2.9367 loss_thr: 1.1804 loss_db: 0.9999 2022/11/02 12:30:10 - mmengine - INFO - Epoch(train) [29][50/63] lr: 5.6709e-04 eta: 17:03:38 time: 0.5669 data_time: 0.0373 memory: 16395 loss: 5.1080 loss_prob: 2.9354 loss_thr: 1.1729 loss_db: 0.9997 2022/11/02 12:30:13 - mmengine - INFO - Epoch(train) [29][55/63] lr: 5.6709e-04 eta: 17:03:38 time: 0.5850 data_time: 0.0393 memory: 16395 loss: 5.1689 loss_prob: 2.9825 loss_thr: 1.1866 loss_db: 0.9998 2022/11/02 12:30:15 - mmengine - INFO - Epoch(train) [29][60/63] lr: 5.6709e-04 eta: 17:01:38 time: 0.5573 data_time: 0.0081 memory: 16395 loss: 5.1685 loss_prob: 2.9864 loss_thr: 1.1822 loss_db: 0.9999 2022/11/02 12:30:17 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:30:22 - mmengine - INFO - Epoch(train) [30][5/63] lr: 5.8727e-04 eta: 17:01:38 time: 0.7337 data_time: 0.2279 memory: 16395 loss: 5.0865 loss_prob: 2.9421 loss_thr: 1.1447 loss_db: 0.9997 2022/11/02 12:30:24 - mmengine - INFO - Epoch(train) [30][10/63] lr: 5.8727e-04 eta: 16:59:25 time: 0.7747 data_time: 0.2279 memory: 16395 loss: 5.0911 loss_prob: 2.9519 loss_thr: 1.1398 loss_db: 0.9994 2022/11/02 12:30:27 - mmengine - INFO - Epoch(train) [30][15/63] lr: 5.8727e-04 eta: 16:59:25 time: 0.5135 data_time: 0.0046 memory: 16395 loss: 5.1060 loss_prob: 2.9606 loss_thr: 1.1461 loss_db: 0.9993 2022/11/02 12:30:29 - mmengine - INFO - Epoch(train) [30][20/63] lr: 5.8727e-04 eta: 16:57:05 time: 0.5007 data_time: 0.0049 memory: 16395 loss: 5.1204 loss_prob: 2.9629 loss_thr: 1.1581 loss_db: 0.9995 2022/11/02 12:30:32 - mmengine - INFO - Epoch(train) [30][25/63] lr: 5.8727e-04 eta: 16:57:05 time: 0.5226 data_time: 0.0088 memory: 16395 loss: 5.0970 loss_prob: 2.9510 loss_thr: 1.1489 loss_db: 0.9971 2022/11/02 12:30:35 - mmengine - INFO - Epoch(train) [30][30/63] lr: 5.8727e-04 eta: 16:55:08 time: 0.5540 data_time: 0.0272 memory: 16395 loss: 5.0417 loss_prob: 2.9294 loss_thr: 1.1282 loss_db: 0.9842 2022/11/02 12:30:38 - mmengine - INFO - Epoch(train) [30][35/63] lr: 5.8727e-04 eta: 16:55:08 time: 0.5444 data_time: 0.0231 memory: 16395 loss: 5.0621 loss_prob: 2.9495 loss_thr: 1.1501 loss_db: 0.9625 2022/11/02 12:30:40 - mmengine - INFO - Epoch(train) [30][40/63] lr: 5.8727e-04 eta: 16:52:54 time: 0.5051 data_time: 0.0049 memory: 16395 loss: 5.1145 loss_prob: 2.9597 loss_thr: 1.1838 loss_db: 0.9710 2022/11/02 12:30:43 - mmengine - INFO - Epoch(train) [30][45/63] lr: 5.8727e-04 eta: 16:52:54 time: 0.5024 data_time: 0.0049 memory: 16395 loss: 5.1084 loss_prob: 2.9384 loss_thr: 1.1746 loss_db: 0.9954 2022/11/02 12:30:45 - mmengine - INFO - Epoch(train) [30][50/63] lr: 5.8727e-04 eta: 16:50:52 time: 0.5363 data_time: 0.0254 memory: 16395 loss: 5.1007 loss_prob: 2.9420 loss_thr: 1.1588 loss_db: 1.0000 2022/11/02 12:30:48 - mmengine - INFO - Epoch(train) [30][55/63] lr: 5.8727e-04 eta: 16:50:52 time: 0.5405 data_time: 0.0256 memory: 16395 loss: 5.1309 loss_prob: 2.9656 loss_thr: 1.1653 loss_db: 0.9999 2022/11/02 12:30:51 - mmengine - INFO - Epoch(train) [30][60/63] lr: 5.8727e-04 eta: 16:48:56 time: 0.5470 data_time: 0.0047 memory: 16395 loss: 5.1233 loss_prob: 2.9639 loss_thr: 1.1596 loss_db: 0.9999 2022/11/02 12:30:52 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:30:57 - mmengine - INFO - Epoch(train) [31][5/63] lr: 6.0745e-04 eta: 16:48:56 time: 0.7452 data_time: 0.2489 memory: 16395 loss: 5.1065 loss_prob: 2.9708 loss_thr: 1.1437 loss_db: 0.9920 2022/11/02 12:31:00 - mmengine - INFO - Epoch(train) [31][10/63] lr: 6.0745e-04 eta: 16:46:53 time: 0.7784 data_time: 0.2493 memory: 16395 loss: 5.1302 loss_prob: 2.9843 loss_thr: 1.1791 loss_db: 0.9668 2022/11/02 12:31:03 - mmengine - INFO - Epoch(train) [31][15/63] lr: 6.0745e-04 eta: 16:46:53 time: 0.5354 data_time: 0.0059 memory: 16395 loss: 5.0915 loss_prob: 2.9656 loss_thr: 1.1954 loss_db: 0.9304 2022/11/02 12:31:05 - mmengine - INFO - Epoch(train) [31][20/63] lr: 6.0745e-04 eta: 16:44:55 time: 0.5336 data_time: 0.0053 memory: 16395 loss: 4.9750 loss_prob: 2.9209 loss_thr: 1.1600 loss_db: 0.8941 2022/11/02 12:31:08 - mmengine - INFO - Epoch(train) [31][25/63] lr: 6.0745e-04 eta: 16:44:55 time: 0.5038 data_time: 0.0115 memory: 16395 loss: 4.9254 loss_prob: 2.9107 loss_thr: 1.1340 loss_db: 0.8807 2022/11/02 12:31:11 - mmengine - INFO - Epoch(train) [31][30/63] lr: 6.0745e-04 eta: 16:42:59 time: 0.5387 data_time: 0.0288 memory: 16395 loss: 4.9068 loss_prob: 2.9142 loss_thr: 1.1155 loss_db: 0.8772 2022/11/02 12:31:13 - mmengine - INFO - Epoch(train) [31][35/63] lr: 6.0745e-04 eta: 16:42:59 time: 0.5595 data_time: 0.0221 memory: 16395 loss: 4.8903 loss_prob: 2.9003 loss_thr: 1.1167 loss_db: 0.8733 2022/11/02 12:31:16 - mmengine - INFO - Epoch(train) [31][40/63] lr: 6.0745e-04 eta: 16:40:59 time: 0.5237 data_time: 0.0047 memory: 16395 loss: 4.9613 loss_prob: 2.9156 loss_thr: 1.1364 loss_db: 0.9092 2022/11/02 12:31:19 - mmengine - INFO - Epoch(train) [31][45/63] lr: 6.0745e-04 eta: 16:40:59 time: 0.5439 data_time: 0.0050 memory: 16395 loss: 5.0580 loss_prob: 2.9314 loss_thr: 1.1559 loss_db: 0.9707 2022/11/02 12:31:22 - mmengine - INFO - Epoch(train) [31][50/63] lr: 6.0745e-04 eta: 16:39:21 time: 0.5782 data_time: 0.0216 memory: 16395 loss: 5.0717 loss_prob: 2.9235 loss_thr: 1.1493 loss_db: 0.9990 2022/11/02 12:31:25 - mmengine - INFO - Epoch(train) [31][55/63] lr: 6.0745e-04 eta: 16:39:21 time: 0.6646 data_time: 0.0214 memory: 16395 loss: 5.0449 loss_prob: 2.9400 loss_thr: 1.1414 loss_db: 0.9634 2022/11/02 12:31:28 - mmengine - INFO - Epoch(train) [31][60/63] lr: 6.0745e-04 eta: 16:38:13 time: 0.6543 data_time: 0.0053 memory: 16395 loss: 4.9617 loss_prob: 2.9287 loss_thr: 1.1450 loss_db: 0.8880 2022/11/02 12:31:30 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:31:36 - mmengine - INFO - Epoch(train) [32][5/63] lr: 6.2764e-04 eta: 16:38:13 time: 0.9011 data_time: 0.2106 memory: 16395 loss: 5.0247 loss_prob: 2.9480 loss_thr: 1.1674 loss_db: 0.9093 2022/11/02 12:31:39 - mmengine - INFO - Epoch(train) [32][10/63] lr: 6.2764e-04 eta: 16:36:53 time: 0.8736 data_time: 0.2148 memory: 16395 loss: 4.9806 loss_prob: 2.9328 loss_thr: 1.1567 loss_db: 0.8911 2022/11/02 12:31:42 - mmengine - INFO - Epoch(train) [32][15/63] lr: 6.2764e-04 eta: 16:36:53 time: 0.6098 data_time: 0.0089 memory: 16395 loss: 4.8957 loss_prob: 2.8947 loss_thr: 1.1356 loss_db: 0.8655 2022/11/02 12:31:45 - mmengine - INFO - Epoch(train) [32][20/63] lr: 6.2764e-04 eta: 16:35:32 time: 0.6165 data_time: 0.0056 memory: 16395 loss: 4.8854 loss_prob: 2.8839 loss_thr: 1.1313 loss_db: 0.8701 2022/11/02 12:31:48 - mmengine - INFO - Epoch(train) [32][25/63] lr: 6.2764e-04 eta: 16:35:32 time: 0.5811 data_time: 0.0126 memory: 16395 loss: 4.8711 loss_prob: 2.8779 loss_thr: 1.1355 loss_db: 0.8577 2022/11/02 12:31:51 - mmengine - INFO - Epoch(train) [32][30/63] lr: 6.2764e-04 eta: 16:34:02 time: 0.5893 data_time: 0.0372 memory: 16395 loss: 4.8864 loss_prob: 2.8900 loss_thr: 1.1062 loss_db: 0.8902 2022/11/02 12:31:54 - mmengine - INFO - Epoch(train) [32][35/63] lr: 6.2764e-04 eta: 16:34:02 time: 0.6012 data_time: 0.0306 memory: 16395 loss: 4.8886 loss_prob: 2.9003 loss_thr: 1.1084 loss_db: 0.8799 2022/11/02 12:31:57 - mmengine - INFO - Epoch(train) [32][40/63] lr: 6.2764e-04 eta: 16:32:49 time: 0.6350 data_time: 0.0055 memory: 16395 loss: 4.8306 loss_prob: 2.8896 loss_thr: 1.1067 loss_db: 0.8343 2022/11/02 12:32:01 - mmengine - INFO - Epoch(train) [32][45/63] lr: 6.2764e-04 eta: 16:32:49 time: 0.6666 data_time: 0.0062 memory: 16395 loss: 4.7586 loss_prob: 2.8729 loss_thr: 1.0622 loss_db: 0.8235 2022/11/02 12:32:02 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:32:04 - mmengine - INFO - Epoch(train) [32][50/63] lr: 6.2764e-04 eta: 16:31:51 time: 0.6745 data_time: 0.0117 memory: 16395 loss: 4.7298 loss_prob: 2.8591 loss_thr: 1.0763 loss_db: 0.7945 2022/11/02 12:32:07 - mmengine - INFO - Epoch(train) [32][55/63] lr: 6.2764e-04 eta: 16:31:51 time: 0.6347 data_time: 0.0394 memory: 16395 loss: 4.7367 loss_prob: 2.8708 loss_thr: 1.0722 loss_db: 0.7937 2022/11/02 12:32:10 - mmengine - INFO - Epoch(train) [32][60/63] lr: 6.2764e-04 eta: 16:30:38 time: 0.6320 data_time: 0.0334 memory: 16395 loss: 4.7408 loss_prob: 2.8686 loss_thr: 1.0885 loss_db: 0.7836 2022/11/02 12:32:12 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:32:17 - mmengine - INFO - Epoch(train) [33][5/63] lr: 6.4782e-04 eta: 16:30:38 time: 0.8109 data_time: 0.2495 memory: 16395 loss: 4.7190 loss_prob: 2.8502 loss_thr: 1.1027 loss_db: 0.7661 2022/11/02 12:32:20 - mmengine - INFO - Epoch(train) [33][10/63] lr: 6.4782e-04 eta: 16:29:08 time: 0.8287 data_time: 0.2489 memory: 16395 loss: 4.7913 loss_prob: 2.8487 loss_thr: 1.1138 loss_db: 0.8288 2022/11/02 12:32:23 - mmengine - INFO - Epoch(train) [33][15/63] lr: 6.4782e-04 eta: 16:29:08 time: 0.5644 data_time: 0.0066 memory: 16395 loss: 4.8503 loss_prob: 2.8600 loss_thr: 1.1220 loss_db: 0.8684 2022/11/02 12:32:26 - mmengine - INFO - Epoch(train) [33][20/63] lr: 6.4782e-04 eta: 16:27:32 time: 0.5632 data_time: 0.0067 memory: 16395 loss: 4.7784 loss_prob: 2.8603 loss_thr: 1.1127 loss_db: 0.8053 2022/11/02 12:32:28 - mmengine - INFO - Epoch(train) [33][25/63] lr: 6.4782e-04 eta: 16:27:32 time: 0.5665 data_time: 0.0300 memory: 16395 loss: 4.7859 loss_prob: 2.8739 loss_thr: 1.0923 loss_db: 0.8197 2022/11/02 12:32:31 - mmengine - INFO - Epoch(train) [33][30/63] lr: 6.4782e-04 eta: 16:25:49 time: 0.5423 data_time: 0.0299 memory: 16395 loss: 4.7680 loss_prob: 2.8676 loss_thr: 1.0885 loss_db: 0.8119 2022/11/02 12:32:34 - mmengine - INFO - Epoch(train) [33][35/63] lr: 6.4782e-04 eta: 16:25:49 time: 0.5817 data_time: 0.0077 memory: 16395 loss: 4.7313 loss_prob: 2.8781 loss_thr: 1.0653 loss_db: 0.7879 2022/11/02 12:32:37 - mmengine - INFO - Epoch(train) [33][40/63] lr: 6.4782e-04 eta: 16:24:24 time: 0.5890 data_time: 0.0074 memory: 16395 loss: 4.8263 loss_prob: 2.9304 loss_thr: 1.0891 loss_db: 0.8068 2022/11/02 12:32:39 - mmengine - INFO - Epoch(train) [33][45/63] lr: 6.4782e-04 eta: 16:24:24 time: 0.5287 data_time: 0.0042 memory: 16395 loss: 4.8254 loss_prob: 2.9410 loss_thr: 1.1084 loss_db: 0.7761 2022/11/02 12:32:42 - mmengine - INFO - Epoch(train) [33][50/63] lr: 6.4782e-04 eta: 16:22:37 time: 0.5240 data_time: 0.0221 memory: 16395 loss: 4.8186 loss_prob: 2.9436 loss_thr: 1.0957 loss_db: 0.7793 2022/11/02 12:32:45 - mmengine - INFO - Epoch(train) [33][55/63] lr: 6.4782e-04 eta: 16:22:37 time: 0.5418 data_time: 0.0221 memory: 16395 loss: 4.7879 loss_prob: 2.9265 loss_thr: 1.0885 loss_db: 0.7729 2022/11/02 12:32:47 - mmengine - INFO - Epoch(train) [33][60/63] lr: 6.4782e-04 eta: 16:20:48 time: 0.5187 data_time: 0.0069 memory: 16395 loss: 4.7332 loss_prob: 2.8928 loss_thr: 1.0717 loss_db: 0.7687 2022/11/02 12:32:49 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:32:54 - mmengine - INFO - Epoch(train) [34][5/63] lr: 6.6800e-04 eta: 16:20:48 time: 0.7429 data_time: 0.2018 memory: 16395 loss: 4.7393 loss_prob: 2.8930 loss_thr: 1.0636 loss_db: 0.7827 2022/11/02 12:32:56 - mmengine - INFO - Epoch(train) [34][10/63] lr: 6.6800e-04 eta: 16:18:58 time: 0.7579 data_time: 0.2011 memory: 16395 loss: 4.8051 loss_prob: 2.8859 loss_thr: 1.1113 loss_db: 0.8079 2022/11/02 12:32:59 - mmengine - INFO - Epoch(train) [34][15/63] lr: 6.6800e-04 eta: 16:18:58 time: 0.5157 data_time: 0.0045 memory: 16395 loss: 4.7489 loss_prob: 2.8645 loss_thr: 1.1195 loss_db: 0.7648 2022/11/02 12:33:02 - mmengine - INFO - Epoch(train) [34][20/63] lr: 6.6800e-04 eta: 16:17:19 time: 0.5372 data_time: 0.0042 memory: 16395 loss: 4.6628 loss_prob: 2.8451 loss_thr: 1.0792 loss_db: 0.7385 2022/11/02 12:33:04 - mmengine - INFO - Epoch(train) [34][25/63] lr: 6.6800e-04 eta: 16:17:19 time: 0.5561 data_time: 0.0158 memory: 16395 loss: 4.6457 loss_prob: 2.8420 loss_thr: 1.0733 loss_db: 0.7303 2022/11/02 12:33:07 - mmengine - INFO - Epoch(train) [34][30/63] lr: 6.6800e-04 eta: 16:15:49 time: 0.5628 data_time: 0.0349 memory: 16395 loss: 4.6611 loss_prob: 2.8470 loss_thr: 1.0785 loss_db: 0.7357 2022/11/02 12:33:10 - mmengine - INFO - Epoch(train) [34][35/63] lr: 6.6800e-04 eta: 16:15:49 time: 0.5543 data_time: 0.0291 memory: 16395 loss: 4.7038 loss_prob: 2.8525 loss_thr: 1.0794 loss_db: 0.7718 2022/11/02 12:33:13 - mmengine - INFO - Epoch(train) [34][40/63] lr: 6.6800e-04 eta: 16:14:19 time: 0.5602 data_time: 0.0101 memory: 16395 loss: 4.7406 loss_prob: 2.8602 loss_thr: 1.0867 loss_db: 0.7937 2022/11/02 12:33:15 - mmengine - INFO - Epoch(train) [34][45/63] lr: 6.6800e-04 eta: 16:14:19 time: 0.5427 data_time: 0.0057 memory: 16395 loss: 4.6840 loss_prob: 2.8504 loss_thr: 1.0891 loss_db: 0.7446 2022/11/02 12:33:18 - mmengine - INFO - Epoch(train) [34][50/63] lr: 6.6800e-04 eta: 16:12:47 time: 0.5535 data_time: 0.0263 memory: 16395 loss: 4.6479 loss_prob: 2.8551 loss_thr: 1.0657 loss_db: 0.7271 2022/11/02 12:33:21 - mmengine - INFO - Epoch(train) [34][55/63] lr: 6.6800e-04 eta: 16:12:47 time: 0.5631 data_time: 0.0267 memory: 16395 loss: 4.6796 loss_prob: 2.8630 loss_thr: 1.0619 loss_db: 0.7548 2022/11/02 12:33:24 - mmengine - INFO - Epoch(train) [34][60/63] lr: 6.6800e-04 eta: 16:11:15 time: 0.5474 data_time: 0.0073 memory: 16395 loss: 4.6178 loss_prob: 2.8300 loss_thr: 1.0502 loss_db: 0.7376 2022/11/02 12:33:25 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:33:30 - mmengine - INFO - Epoch(train) [35][5/63] lr: 6.8818e-04 eta: 16:11:15 time: 0.7599 data_time: 0.2259 memory: 16395 loss: 4.6642 loss_prob: 2.8447 loss_thr: 1.0888 loss_db: 0.7308 2022/11/02 12:33:33 - mmengine - INFO - Epoch(train) [35][10/63] lr: 6.8818e-04 eta: 16:09:39 time: 0.7822 data_time: 0.2265 memory: 16395 loss: 4.6620 loss_prob: 2.8458 loss_thr: 1.0797 loss_db: 0.7364 2022/11/02 12:33:35 - mmengine - INFO - Epoch(train) [35][15/63] lr: 6.8818e-04 eta: 16:09:39 time: 0.5177 data_time: 0.0066 memory: 16395 loss: 4.6585 loss_prob: 2.8289 loss_thr: 1.0751 loss_db: 0.7545 2022/11/02 12:33:38 - mmengine - INFO - Epoch(train) [35][20/63] lr: 6.8818e-04 eta: 16:07:59 time: 0.5196 data_time: 0.0060 memory: 16395 loss: 4.6669 loss_prob: 2.8556 loss_thr: 1.0649 loss_db: 0.7464 2022/11/02 12:33:41 - mmengine - INFO - Epoch(train) [35][25/63] lr: 6.8818e-04 eta: 16:07:59 time: 0.5408 data_time: 0.0159 memory: 16395 loss: 4.7086 loss_prob: 2.8856 loss_thr: 1.0561 loss_db: 0.7669 2022/11/02 12:33:44 - mmengine - INFO - Epoch(train) [35][30/63] lr: 6.8818e-04 eta: 16:06:38 time: 0.5765 data_time: 0.0391 memory: 16395 loss: 4.6681 loss_prob: 2.8521 loss_thr: 1.0629 loss_db: 0.7531 2022/11/02 12:33:47 - mmengine - INFO - Epoch(train) [35][35/63] lr: 6.8818e-04 eta: 16:06:38 time: 0.5797 data_time: 0.0274 memory: 16395 loss: 4.6650 loss_prob: 2.8430 loss_thr: 1.0857 loss_db: 0.7363 2022/11/02 12:33:50 - mmengine - INFO - Epoch(train) [35][40/63] lr: 6.8818e-04 eta: 16:05:16 time: 0.5692 data_time: 0.0052 memory: 16395 loss: 4.7524 loss_prob: 2.8655 loss_thr: 1.1015 loss_db: 0.7854 2022/11/02 12:33:52 - mmengine - INFO - Epoch(train) [35][45/63] lr: 6.8818e-04 eta: 16:05:16 time: 0.5626 data_time: 0.0055 memory: 16395 loss: 4.7248 loss_prob: 2.8585 loss_thr: 1.0772 loss_db: 0.7892 2022/11/02 12:33:55 - mmengine - INFO - Epoch(train) [35][50/63] lr: 6.8818e-04 eta: 16:03:42 time: 0.5313 data_time: 0.0080 memory: 16395 loss: 4.5507 loss_prob: 2.8127 loss_thr: 1.0319 loss_db: 0.7061 2022/11/02 12:33:58 - mmengine - INFO - Epoch(train) [35][55/63] lr: 6.8818e-04 eta: 16:03:42 time: 0.5901 data_time: 0.0212 memory: 16395 loss: 4.4426 loss_prob: 2.7868 loss_thr: 1.0220 loss_db: 0.6338 2022/11/02 12:34:01 - mmengine - INFO - Epoch(train) [35][60/63] lr: 6.8818e-04 eta: 16:02:28 time: 0.5890 data_time: 0.0181 memory: 16395 loss: 4.5226 loss_prob: 2.8154 loss_thr: 1.0251 loss_db: 0.6821 2022/11/02 12:34:02 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:34:09 - mmengine - INFO - Epoch(train) [36][5/63] lr: 7.0836e-04 eta: 16:02:28 time: 0.8713 data_time: 0.2263 memory: 16395 loss: 4.5841 loss_prob: 2.8335 loss_thr: 1.0442 loss_db: 0.7064 2022/11/02 12:34:12 - mmengine - INFO - Epoch(train) [36][10/63] lr: 7.0836e-04 eta: 16:02:00 time: 0.9680 data_time: 0.2247 memory: 16395 loss: 4.6358 loss_prob: 2.8429 loss_thr: 1.0502 loss_db: 0.7426 2022/11/02 12:34:14 - mmengine - INFO - Epoch(train) [36][15/63] lr: 7.0836e-04 eta: 16:02:00 time: 0.5791 data_time: 0.0070 memory: 16395 loss: 4.5134 loss_prob: 2.7986 loss_thr: 1.0333 loss_db: 0.6814 2022/11/02 12:34:17 - mmengine - INFO - Epoch(train) [36][20/63] lr: 7.0836e-04 eta: 16:00:36 time: 0.5582 data_time: 0.0069 memory: 16395 loss: 4.5572 loss_prob: 2.8239 loss_thr: 1.0330 loss_db: 0.7003 2022/11/02 12:34:22 - mmengine - INFO - Epoch(train) [36][25/63] lr: 7.0836e-04 eta: 16:00:36 time: 0.7208 data_time: 0.0162 memory: 16395 loss: 4.5817 loss_prob: 2.8363 loss_thr: 1.0271 loss_db: 0.7183 2022/11/02 12:34:24 - mmengine - INFO - Epoch(train) [36][30/63] lr: 7.0836e-04 eta: 16:00:03 time: 0.7085 data_time: 0.0347 memory: 16395 loss: 4.5202 loss_prob: 2.8095 loss_thr: 1.0259 loss_db: 0.6849 2022/11/02 12:34:28 - mmengine - INFO - Epoch(train) [36][35/63] lr: 7.0836e-04 eta: 16:00:03 time: 0.6193 data_time: 0.0231 memory: 16395 loss: 4.5279 loss_prob: 2.7971 loss_thr: 1.0341 loss_db: 0.6967 2022/11/02 12:34:31 - mmengine - INFO - Epoch(train) [36][40/63] lr: 7.0836e-04 eta: 15:59:11 time: 0.6501 data_time: 0.0066 memory: 16395 loss: 4.5038 loss_prob: 2.7756 loss_thr: 1.0453 loss_db: 0.6829 2022/11/02 12:34:34 - mmengine - INFO - Epoch(train) [36][45/63] lr: 7.0836e-04 eta: 15:59:11 time: 0.6288 data_time: 0.0102 memory: 16395 loss: 4.5484 loss_prob: 2.7933 loss_thr: 1.0603 loss_db: 0.6948 2022/11/02 12:34:38 - mmengine - INFO - Epoch(train) [36][50/63] lr: 7.0836e-04 eta: 15:58:29 time: 0.6789 data_time: 0.0159 memory: 16395 loss: 4.5686 loss_prob: 2.8088 loss_thr: 1.0315 loss_db: 0.7283 2022/11/02 12:34:40 - mmengine - INFO - Epoch(train) [36][55/63] lr: 7.0836e-04 eta: 15:58:29 time: 0.6264 data_time: 0.0200 memory: 16395 loss: 4.4528 loss_prob: 2.7756 loss_thr: 1.0013 loss_db: 0.6759 2022/11/02 12:34:43 - mmengine - INFO - Epoch(train) [36][60/63] lr: 7.0836e-04 eta: 15:56:56 time: 0.5207 data_time: 0.0123 memory: 16395 loss: 4.4651 loss_prob: 2.7876 loss_thr: 1.0066 loss_db: 0.6709 2022/11/02 12:34:45 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:34:51 - mmengine - INFO - Epoch(train) [37][5/63] lr: 7.2855e-04 eta: 15:56:56 time: 0.9001 data_time: 0.2107 memory: 16395 loss: 4.6417 loss_prob: 2.8613 loss_thr: 1.0552 loss_db: 0.7253 2022/11/02 12:34:54 - mmengine - INFO - Epoch(train) [37][10/63] lr: 7.2855e-04 eta: 15:56:21 time: 0.9408 data_time: 0.2096 memory: 16395 loss: 4.5461 loss_prob: 2.8327 loss_thr: 1.0362 loss_db: 0.6772 2022/11/02 12:34:57 - mmengine - INFO - Epoch(train) [37][15/63] lr: 7.2855e-04 eta: 15:56:21 time: 0.6214 data_time: 0.0089 memory: 16395 loss: 4.5193 loss_prob: 2.8150 loss_thr: 1.0316 loss_db: 0.6728 2022/11/02 12:35:00 - mmengine - INFO - Epoch(train) [37][20/63] lr: 7.2855e-04 eta: 15:55:08 time: 0.5777 data_time: 0.0090 memory: 16395 loss: 4.5896 loss_prob: 2.8331 loss_thr: 1.0509 loss_db: 0.7055 2022/11/02 12:35:03 - mmengine - INFO - Epoch(train) [37][25/63] lr: 7.2855e-04 eta: 15:55:08 time: 0.5838 data_time: 0.0187 memory: 16395 loss: 4.4911 loss_prob: 2.7822 loss_thr: 1.0226 loss_db: 0.6863 2022/11/02 12:35:06 - mmengine - INFO - Epoch(train) [37][30/63] lr: 7.2855e-04 eta: 15:53:56 time: 0.5814 data_time: 0.0317 memory: 16395 loss: 4.4734 loss_prob: 2.7653 loss_thr: 1.0168 loss_db: 0.6913 2022/11/02 12:35:09 - mmengine - INFO - Epoch(train) [37][35/63] lr: 7.2855e-04 eta: 15:53:56 time: 0.5758 data_time: 0.0181 memory: 16395 loss: 4.5471 loss_prob: 2.7997 loss_thr: 1.0260 loss_db: 0.7214 2022/11/02 12:35:11 - mmengine - INFO - Epoch(train) [37][40/63] lr: 7.2855e-04 eta: 15:52:30 time: 0.5343 data_time: 0.0105 memory: 16395 loss: 4.4917 loss_prob: 2.7921 loss_thr: 1.0082 loss_db: 0.6914 2022/11/02 12:35:14 - mmengine - INFO - Epoch(train) [37][45/63] lr: 7.2855e-04 eta: 15:52:30 time: 0.4923 data_time: 0.0102 memory: 16395 loss: 4.5055 loss_prob: 2.8040 loss_thr: 1.0046 loss_db: 0.6969 2022/11/02 12:35:17 - mmengine - INFO - Epoch(train) [37][50/63] lr: 7.2855e-04 eta: 15:51:02 time: 0.5266 data_time: 0.0128 memory: 16395 loss: 4.4791 loss_prob: 2.7969 loss_thr: 1.0078 loss_db: 0.6744 2022/11/02 12:35:19 - mmengine - INFO - Epoch(train) [37][55/63] lr: 7.2855e-04 eta: 15:51:02 time: 0.5432 data_time: 0.0219 memory: 16395 loss: 4.4382 loss_prob: 2.7715 loss_thr: 1.0114 loss_db: 0.6552 2022/11/02 12:35:22 - mmengine - INFO - Epoch(train) [37][60/63] lr: 7.2855e-04 eta: 15:49:31 time: 0.5140 data_time: 0.0160 memory: 16395 loss: 4.5158 loss_prob: 2.7951 loss_thr: 1.0329 loss_db: 0.6878 2022/11/02 12:35:23 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:35:28 - mmengine - INFO - Epoch(train) [38][5/63] lr: 7.4873e-04 eta: 15:49:31 time: 0.7870 data_time: 0.2189 memory: 16395 loss: 4.5416 loss_prob: 2.8284 loss_thr: 1.0155 loss_db: 0.6977 2022/11/02 12:35:31 - mmengine - INFO - Epoch(train) [38][10/63] lr: 7.4873e-04 eta: 15:48:25 time: 0.8339 data_time: 0.2258 memory: 16395 loss: 4.4116 loss_prob: 2.7608 loss_thr: 0.9918 loss_db: 0.6591 2022/11/02 12:35:34 - mmengine - INFO - Epoch(train) [38][15/63] lr: 7.4873e-04 eta: 15:48:25 time: 0.5273 data_time: 0.0151 memory: 16395 loss: 4.4235 loss_prob: 2.7653 loss_thr: 1.0024 loss_db: 0.6558 2022/11/02 12:35:36 - mmengine - INFO - Epoch(train) [38][20/63] lr: 7.4873e-04 eta: 15:46:47 time: 0.4845 data_time: 0.0090 memory: 16395 loss: 4.5147 loss_prob: 2.7985 loss_thr: 1.0162 loss_db: 0.7001 2022/11/02 12:35:39 - mmengine - INFO - Epoch(train) [38][25/63] lr: 7.4873e-04 eta: 15:46:47 time: 0.5210 data_time: 0.0262 memory: 16395 loss: 4.3589 loss_prob: 2.7125 loss_thr: 1.0033 loss_db: 0.6431 2022/11/02 12:35:41 - mmengine - INFO - Epoch(train) [38][30/63] lr: 7.4873e-04 eta: 15:45:16 time: 0.5100 data_time: 0.0252 memory: 16395 loss: 4.3170 loss_prob: 2.6956 loss_thr: 0.9790 loss_db: 0.6424 2022/11/02 12:35:44 - mmengine - INFO - Epoch(train) [38][35/63] lr: 7.4873e-04 eta: 15:45:16 time: 0.4947 data_time: 0.0130 memory: 16395 loss: 4.3487 loss_prob: 2.7305 loss_thr: 0.9855 loss_db: 0.6327 2022/11/02 12:35:47 - mmengine - INFO - Epoch(train) [38][40/63] lr: 7.4873e-04 eta: 15:43:49 time: 0.5171 data_time: 0.0133 memory: 16395 loss: 4.5622 loss_prob: 2.8077 loss_thr: 1.0025 loss_db: 0.7520 2022/11/02 12:35:49 - mmengine - INFO - Epoch(train) [38][45/63] lr: 7.4873e-04 eta: 15:43:49 time: 0.5186 data_time: 0.0058 memory: 16395 loss: 4.7556 loss_prob: 2.8580 loss_thr: 0.9983 loss_db: 0.8993 2022/11/02 12:35:52 - mmengine - INFO - Epoch(train) [38][50/63] lr: 7.4873e-04 eta: 15:42:24 time: 0.5210 data_time: 0.0149 memory: 16395 loss: 4.6106 loss_prob: 2.8295 loss_thr: 0.9983 loss_db: 0.7828 2022/11/02 12:35:54 - mmengine - INFO - Epoch(train) [38][55/63] lr: 7.4873e-04 eta: 15:42:24 time: 0.5236 data_time: 0.0196 memory: 16395 loss: 4.4599 loss_prob: 2.7857 loss_thr: 0.9917 loss_db: 0.6825 2022/11/02 12:35:57 - mmengine - INFO - Epoch(train) [38][60/63] lr: 7.4873e-04 eta: 15:40:59 time: 0.5193 data_time: 0.0116 memory: 16395 loss: 4.5204 loss_prob: 2.8377 loss_thr: 1.0035 loss_db: 0.6791 2022/11/02 12:35:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:36:03 - mmengine - INFO - Epoch(train) [39][5/63] lr: 7.6891e-04 eta: 15:40:59 time: 0.7077 data_time: 0.2005 memory: 16395 loss: 4.5097 loss_prob: 2.7981 loss_thr: 1.0099 loss_db: 0.7018 2022/11/02 12:36:06 - mmengine - INFO - Epoch(train) [39][10/63] lr: 7.6891e-04 eta: 15:39:26 time: 0.7312 data_time: 0.2016 memory: 16395 loss: 4.7082 loss_prob: 2.8585 loss_thr: 1.0678 loss_db: 0.7818 2022/11/02 12:36:08 - mmengine - INFO - Epoch(train) [39][15/63] lr: 7.6891e-04 eta: 15:39:26 time: 0.5173 data_time: 0.0084 memory: 16395 loss: 4.6927 loss_prob: 2.8643 loss_thr: 1.0660 loss_db: 0.7625 2022/11/02 12:36:11 - mmengine - INFO - Epoch(train) [39][20/63] lr: 7.6891e-04 eta: 15:37:57 time: 0.5007 data_time: 0.0061 memory: 16395 loss: 4.6667 loss_prob: 2.8578 loss_thr: 1.0474 loss_db: 0.7614 2022/11/02 12:36:13 - mmengine - INFO - Epoch(train) [39][25/63] lr: 7.6891e-04 eta: 15:37:57 time: 0.5089 data_time: 0.0116 memory: 16395 loss: 4.6401 loss_prob: 2.8378 loss_thr: 1.0332 loss_db: 0.7692 2022/11/02 12:36:16 - mmengine - INFO - Epoch(train) [39][30/63] lr: 7.6891e-04 eta: 15:36:38 time: 0.5321 data_time: 0.0318 memory: 16395 loss: 4.6246 loss_prob: 2.8225 loss_thr: 1.0494 loss_db: 0.7527 2022/11/02 12:36:18 - mmengine - INFO - Epoch(train) [39][35/63] lr: 7.6891e-04 eta: 15:36:38 time: 0.5149 data_time: 0.0247 memory: 16395 loss: 4.4624 loss_prob: 2.7735 loss_thr: 1.0229 loss_db: 0.6661 2022/11/02 12:36:21 - mmengine - INFO - Epoch(train) [39][40/63] lr: 7.6891e-04 eta: 15:35:17 time: 0.5243 data_time: 0.0059 memory: 16395 loss: 4.4194 loss_prob: 2.7570 loss_thr: 0.9986 loss_db: 0.6638 2022/11/02 12:36:24 - mmengine - INFO - Epoch(train) [39][45/63] lr: 7.6891e-04 eta: 15:35:17 time: 0.6050 data_time: 0.0065 memory: 16395 loss: 4.5182 loss_prob: 2.7928 loss_thr: 1.0206 loss_db: 0.7048 2022/11/02 12:36:27 - mmengine - INFO - Epoch(train) [39][50/63] lr: 7.6891e-04 eta: 15:34:19 time: 0.6010 data_time: 0.0178 memory: 16395 loss: 4.4834 loss_prob: 2.7841 loss_thr: 1.0148 loss_db: 0.6845 2022/11/02 12:36:30 - mmengine - INFO - Epoch(train) [39][55/63] lr: 7.6891e-04 eta: 15:34:19 time: 0.5387 data_time: 0.0289 memory: 16395 loss: 4.5222 loss_prob: 2.7996 loss_thr: 1.0221 loss_db: 0.7005 2022/11/02 12:36:33 - mmengine - INFO - Epoch(train) [39][60/63] lr: 7.6891e-04 eta: 15:33:09 time: 0.5566 data_time: 0.0163 memory: 16395 loss: 4.5305 loss_prob: 2.8022 loss_thr: 1.0220 loss_db: 0.7062 2022/11/02 12:36:35 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:36:41 - mmengine - INFO - Epoch(train) [40][5/63] lr: 7.8909e-04 eta: 15:33:09 time: 0.9850 data_time: 0.1800 memory: 16395 loss: 4.5922 loss_prob: 2.8277 loss_thr: 1.0429 loss_db: 0.7216 2022/11/02 12:36:45 - mmengine - INFO - Epoch(train) [40][10/63] lr: 7.8909e-04 eta: 15:32:43 time: 0.9410 data_time: 0.1848 memory: 16395 loss: 4.5506 loss_prob: 2.8262 loss_thr: 1.0278 loss_db: 0.6966 2022/11/02 12:36:48 - mmengine - INFO - Epoch(train) [40][15/63] lr: 7.8909e-04 eta: 15:32:43 time: 0.6970 data_time: 0.0099 memory: 16395 loss: 4.5383 loss_prob: 2.8141 loss_thr: 1.0188 loss_db: 0.7055 2022/11/02 12:36:52 - mmengine - INFO - Epoch(train) [40][20/63] lr: 7.8909e-04 eta: 15:32:37 time: 0.7700 data_time: 0.0048 memory: 16395 loss: 4.5877 loss_prob: 2.8402 loss_thr: 1.0288 loss_db: 0.7188 2022/11/02 12:36:55 - mmengine - INFO - Epoch(train) [40][25/63] lr: 7.8909e-04 eta: 15:32:37 time: 0.6756 data_time: 0.0101 memory: 16395 loss: 4.4409 loss_prob: 2.7831 loss_thr: 0.9955 loss_db: 0.6623 2022/11/02 12:36:58 - mmengine - INFO - Epoch(train) [40][30/63] lr: 7.8909e-04 eta: 15:31:36 time: 0.5825 data_time: 0.0318 memory: 16395 loss: 4.2531 loss_prob: 2.6837 loss_thr: 0.9654 loss_db: 0.6040 2022/11/02 12:37:01 - mmengine - INFO - Epoch(train) [40][35/63] lr: 7.8909e-04 eta: 15:31:36 time: 0.6119 data_time: 0.0310 memory: 16395 loss: 4.4103 loss_prob: 2.7501 loss_thr: 0.9884 loss_db: 0.6717 2022/11/02 12:37:05 - mmengine - INFO - Epoch(train) [40][40/63] lr: 7.8909e-04 eta: 15:31:16 time: 0.7224 data_time: 0.0122 memory: 16395 loss: 4.4995 loss_prob: 2.7907 loss_thr: 1.0184 loss_db: 0.6904 2022/11/02 12:37:08 - mmengine - INFO - Epoch(train) [40][45/63] lr: 7.8909e-04 eta: 15:31:16 time: 0.7182 data_time: 0.0085 memory: 16395 loss: 4.3048 loss_prob: 2.7046 loss_thr: 1.0009 loss_db: 0.5993 2022/11/02 12:37:11 - mmengine - INFO - Epoch(train) [40][50/63] lr: 7.8909e-04 eta: 15:30:14 time: 0.5810 data_time: 0.0103 memory: 16395 loss: 4.2686 loss_prob: 2.6945 loss_thr: 0.9773 loss_db: 0.5969 2022/11/02 12:37:14 - mmengine - INFO - Epoch(train) [40][55/63] lr: 7.8909e-04 eta: 15:30:14 time: 0.6074 data_time: 0.0215 memory: 16395 loss: 4.4406 loss_prob: 2.7586 loss_thr: 0.9936 loss_db: 0.6884 2022/11/02 12:37:17 - mmengine - INFO - Epoch(train) [40][60/63] lr: 7.8909e-04 eta: 15:29:27 time: 0.6257 data_time: 0.0190 memory: 16395 loss: 4.4527 loss_prob: 2.7807 loss_thr: 0.9954 loss_db: 0.6766 2022/11/02 12:37:19 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:37:19 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/11/02 12:37:23 - mmengine - INFO - Epoch(val) [40][5/500] eta: 15:29:27 time: 0.0653 data_time: 0.0071 memory: 16395 2022/11/02 12:37:23 - mmengine - INFO - Epoch(val) [40][10/500] eta: 0:00:24 time: 0.0497 data_time: 0.0071 memory: 1013 2022/11/02 12:37:23 - mmengine - INFO - Epoch(val) [40][15/500] eta: 0:00:24 time: 0.0393 data_time: 0.0023 memory: 1013 2022/11/02 12:37:24 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:00:21 time: 0.0443 data_time: 0.0023 memory: 1013 2022/11/02 12:37:24 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:00:21 time: 0.0474 data_time: 0.0023 memory: 1013 2022/11/02 12:37:24 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:00:22 time: 0.0476 data_time: 0.0023 memory: 1013 2022/11/02 12:37:24 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:00:22 time: 0.0477 data_time: 0.0023 memory: 1013 2022/11/02 12:37:24 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:00:23 time: 0.0503 data_time: 0.0024 memory: 1013 2022/11/02 12:37:25 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:00:23 time: 0.0517 data_time: 0.0024 memory: 1013 2022/11/02 12:37:25 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:00:20 time: 0.0466 data_time: 0.0024 memory: 1013 2022/11/02 12:37:25 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:00:20 time: 0.0433 data_time: 0.0025 memory: 1013 2022/11/02 12:37:25 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:00:20 time: 0.0471 data_time: 0.0025 memory: 1013 2022/11/02 12:37:26 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:00:20 time: 0.0470 data_time: 0.0025 memory: 1013 2022/11/02 12:37:26 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:00:19 time: 0.0458 data_time: 0.0034 memory: 1013 2022/11/02 12:37:26 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:00:19 time: 0.0463 data_time: 0.0035 memory: 1013 2022/11/02 12:37:26 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:00:18 time: 0.0438 data_time: 0.0024 memory: 1013 2022/11/02 12:37:27 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:00:18 time: 0.0418 data_time: 0.0025 memory: 1013 2022/11/02 12:37:27 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:00:18 time: 0.0443 data_time: 0.0028 memory: 1013 2022/11/02 12:37:27 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:00:18 time: 0.0456 data_time: 0.0027 memory: 1013 2022/11/02 12:37:27 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:00:17 time: 0.0436 data_time: 0.0023 memory: 1013 2022/11/02 12:37:27 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:00:17 time: 0.0435 data_time: 0.0027 memory: 1013 2022/11/02 12:37:28 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:00:17 time: 0.0454 data_time: 0.0042 memory: 1013 2022/11/02 12:37:28 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:00:17 time: 0.0493 data_time: 0.0039 memory: 1013 2022/11/02 12:37:28 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:16 time: 0.0445 data_time: 0.0023 memory: 1013 2022/11/02 12:37:28 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:16 time: 0.0421 data_time: 0.0023 memory: 1013 2022/11/02 12:37:29 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:00:15 time: 0.0421 data_time: 0.0026 memory: 1013 2022/11/02 12:37:29 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:00:15 time: 0.0410 data_time: 0.0025 memory: 1013 2022/11/02 12:37:29 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:15 time: 0.0439 data_time: 0.0023 memory: 1013 2022/11/02 12:37:29 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:15 time: 0.0468 data_time: 0.0027 memory: 1013 2022/11/02 12:37:29 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:00:16 time: 0.0480 data_time: 0.0027 memory: 1013 2022/11/02 12:37:30 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:00:16 time: 0.0456 data_time: 0.0026 memory: 1013 2022/11/02 12:37:30 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:00:15 time: 0.0447 data_time: 0.0022 memory: 1013 2022/11/02 12:37:30 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:00:15 time: 0.0548 data_time: 0.0030 memory: 1013 2022/11/02 12:37:30 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:00:18 time: 0.0556 data_time: 0.0033 memory: 1013 2022/11/02 12:37:31 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:00:18 time: 0.0442 data_time: 0.0023 memory: 1013 2022/11/02 12:37:31 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:13 time: 0.0415 data_time: 0.0025 memory: 1013 2022/11/02 12:37:31 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:13 time: 0.0471 data_time: 0.0031 memory: 1013 2022/11/02 12:37:31 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:00:14 time: 0.0455 data_time: 0.0028 memory: 1013 2022/11/02 12:37:32 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:00:14 time: 0.0414 data_time: 0.0025 memory: 1013 2022/11/02 12:37:32 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:00:13 time: 0.0441 data_time: 0.0027 memory: 1013 2022/11/02 12:37:32 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:00:13 time: 0.0421 data_time: 0.0028 memory: 1013 2022/11/02 12:37:32 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:00:12 time: 0.0440 data_time: 0.0042 memory: 1013 2022/11/02 12:37:32 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:00:12 time: 0.0478 data_time: 0.0043 memory: 1013 2022/11/02 12:37:33 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:00:13 time: 0.0472 data_time: 0.0030 memory: 1013 2022/11/02 12:37:33 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:00:13 time: 0.0432 data_time: 0.0023 memory: 1013 2022/11/02 12:37:33 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:00:11 time: 0.0410 data_time: 0.0019 memory: 1013 2022/11/02 12:37:33 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:00:11 time: 0.0448 data_time: 0.0022 memory: 1013 2022/11/02 12:37:34 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:12 time: 0.0487 data_time: 0.0024 memory: 1013 2022/11/02 12:37:34 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:12 time: 0.0465 data_time: 0.0026 memory: 1013 2022/11/02 12:37:34 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:11 time: 0.0471 data_time: 0.0025 memory: 1013 2022/11/02 12:37:34 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:11 time: 0.0472 data_time: 0.0023 memory: 1013 2022/11/02 12:37:34 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:00:09 time: 0.0405 data_time: 0.0021 memory: 1013 2022/11/02 12:37:35 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:00:09 time: 0.0393 data_time: 0.0021 memory: 1013 2022/11/02 12:37:35 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:00:09 time: 0.0423 data_time: 0.0021 memory: 1013 2022/11/02 12:37:35 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:00:09 time: 0.0446 data_time: 0.0022 memory: 1013 2022/11/02 12:37:35 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:00:09 time: 0.0424 data_time: 0.0024 memory: 1013 2022/11/02 12:37:36 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:00:09 time: 0.0404 data_time: 0.0023 memory: 1013 2022/11/02 12:37:36 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:00:08 time: 0.0401 data_time: 0.0023 memory: 1013 2022/11/02 12:37:36 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:00:08 time: 0.0412 data_time: 0.0023 memory: 1013 2022/11/02 12:37:36 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:09 time: 0.0478 data_time: 0.0027 memory: 1013 2022/11/02 12:37:36 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:09 time: 0.0480 data_time: 0.0030 memory: 1013 2022/11/02 12:37:37 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:08 time: 0.0424 data_time: 0.0033 memory: 1013 2022/11/02 12:37:37 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:08 time: 0.0461 data_time: 0.0033 memory: 1013 2022/11/02 12:37:37 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:09 time: 0.0508 data_time: 0.0031 memory: 1013 2022/11/02 12:37:37 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:09 time: 0.0513 data_time: 0.0031 memory: 1013 2022/11/02 12:37:38 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:08 time: 0.0524 data_time: 0.0030 memory: 1013 2022/11/02 12:37:38 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:08 time: 0.0487 data_time: 0.0032 memory: 1013 2022/11/02 12:37:38 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:07 time: 0.0467 data_time: 0.0031 memory: 1013 2022/11/02 12:37:38 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:07 time: 0.0487 data_time: 0.0038 memory: 1013 2022/11/02 12:37:39 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:07 time: 0.0484 data_time: 0.0042 memory: 1013 2022/11/02 12:37:39 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:07 time: 0.0544 data_time: 0.0044 memory: 1013 2022/11/02 12:37:39 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:07 time: 0.0539 data_time: 0.0040 memory: 1013 2022/11/02 12:37:39 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:07 time: 0.0438 data_time: 0.0027 memory: 1013 2022/11/02 12:37:40 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:00:05 time: 0.0399 data_time: 0.0024 memory: 1013 2022/11/02 12:37:40 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:00:05 time: 0.0558 data_time: 0.0153 memory: 1013 2022/11/02 12:37:40 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:07 time: 0.0612 data_time: 0.0150 memory: 1013 2022/11/02 12:37:40 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:07 time: 0.0473 data_time: 0.0020 memory: 1013 2022/11/02 12:37:41 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:05 time: 0.0461 data_time: 0.0025 memory: 1013 2022/11/02 12:37:41 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:05 time: 0.0449 data_time: 0.0029 memory: 1013 2022/11/02 12:37:41 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:04 time: 0.0417 data_time: 0.0027 memory: 1013 2022/11/02 12:37:41 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:04 time: 0.0425 data_time: 0.0024 memory: 1013 2022/11/02 12:37:41 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:04 time: 0.0464 data_time: 0.0026 memory: 1013 2022/11/02 12:37:42 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:04 time: 0.0443 data_time: 0.0029 memory: 1013 2022/11/02 12:37:43 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:08 time: 0.1107 data_time: 0.0712 memory: 1013 2022/11/02 12:37:43 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:08 time: 0.1121 data_time: 0.0708 memory: 1013 2022/11/02 12:37:43 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:02 time: 0.0412 data_time: 0.0022 memory: 1013 2022/11/02 12:37:43 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:02 time: 0.0411 data_time: 0.0024 memory: 1013 2022/11/02 12:37:43 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:02 time: 0.0398 data_time: 0.0024 memory: 1013 2022/11/02 12:37:44 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:02 time: 0.0477 data_time: 0.0027 memory: 1013 2022/11/02 12:37:44 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:02 time: 0.0487 data_time: 0.0027 memory: 1013 2022/11/02 12:37:44 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:02 time: 0.0438 data_time: 0.0024 memory: 1013 2022/11/02 12:37:44 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:01 time: 0.0470 data_time: 0.0043 memory: 1013 2022/11/02 12:37:45 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:01 time: 0.0431 data_time: 0.0042 memory: 1013 2022/11/02 12:37:45 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:01 time: 0.0407 data_time: 0.0024 memory: 1013 2022/11/02 12:37:45 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:01 time: 0.0392 data_time: 0.0024 memory: 1013 2022/11/02 12:37:45 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:00 time: 0.0438 data_time: 0.0025 memory: 1013 2022/11/02 12:37:45 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:00 time: 0.0509 data_time: 0.0025 memory: 1013 2022/11/02 12:37:46 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0524 data_time: 0.0027 memory: 1013 2022/11/02 12:37:46 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0473 data_time: 0.0027 memory: 1013 2022/11/02 12:37:46 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.0423 data_time: 0.0025 memory: 1013 2022/11/02 12:37:46 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 12:37:46 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.1449, precision: 0.1877, hmean: 0.1635 2022/11/02 12:37:46 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0708, precision: 0.5526, hmean: 0.1255 2022/11/02 12:37:46 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0024, precision: 0.3333, hmean: 0.0048 2022/11/02 12:37:46 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 12:37:46 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 12:37:46 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 12:37:46 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 12:37:46 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.1877 icdar/recall: 0.1449 icdar/hmean: 0.1635 2022/11/02 12:37:51 - mmengine - INFO - Epoch(train) [41][5/63] lr: 8.0927e-04 eta: 0:00:00 time: 0.7613 data_time: 0.2065 memory: 16395 loss: 4.4232 loss_prob: 2.7703 loss_thr: 0.9913 loss_db: 0.6616 2022/11/02 12:37:54 - mmengine - INFO - Epoch(train) [41][10/63] lr: 8.0927e-04 eta: 15:28:22 time: 0.8007 data_time: 0.2092 memory: 16395 loss: 4.4416 loss_prob: 2.7781 loss_thr: 0.9856 loss_db: 0.6779 2022/11/02 12:37:57 - mmengine - INFO - Epoch(train) [41][15/63] lr: 8.0927e-04 eta: 15:28:22 time: 0.5674 data_time: 0.0086 memory: 16395 loss: 4.4916 loss_prob: 2.7919 loss_thr: 0.9870 loss_db: 0.7127 2022/11/02 12:38:00 - mmengine - INFO - Epoch(train) [41][20/63] lr: 8.0927e-04 eta: 15:27:14 time: 0.5546 data_time: 0.0072 memory: 16395 loss: 4.4458 loss_prob: 2.7605 loss_thr: 0.9938 loss_db: 0.6916 2022/11/02 12:38:03 - mmengine - INFO - Epoch(train) [41][25/63] lr: 8.0927e-04 eta: 15:27:14 time: 0.5478 data_time: 0.0250 memory: 16395 loss: 4.4528 loss_prob: 2.7875 loss_thr: 0.9819 loss_db: 0.6835 2022/11/02 12:38:05 - mmengine - INFO - Epoch(train) [41][30/63] lr: 8.0927e-04 eta: 15:26:07 time: 0.5537 data_time: 0.0263 memory: 16395 loss: 4.3775 loss_prob: 2.7590 loss_thr: 0.9643 loss_db: 0.6543 2022/11/02 12:38:08 - mmengine - INFO - Epoch(train) [41][35/63] lr: 8.0927e-04 eta: 15:26:07 time: 0.5399 data_time: 0.0193 memory: 16395 loss: 4.2345 loss_prob: 2.6642 loss_thr: 0.9771 loss_db: 0.5932 2022/11/02 12:38:11 - mmengine - INFO - Epoch(train) [41][40/63] lr: 8.0927e-04 eta: 15:24:55 time: 0.5335 data_time: 0.0165 memory: 16395 loss: 4.2859 loss_prob: 2.6782 loss_thr: 0.9912 loss_db: 0.6165 2022/11/02 12:38:13 - mmengine - INFO - Epoch(train) [41][45/63] lr: 8.0927e-04 eta: 15:24:55 time: 0.5416 data_time: 0.0062 memory: 16395 loss: 4.3323 loss_prob: 2.6982 loss_thr: 0.9833 loss_db: 0.6507 2022/11/02 12:38:16 - mmengine - INFO - Epoch(train) [41][50/63] lr: 8.0927e-04 eta: 15:23:47 time: 0.5494 data_time: 0.0175 memory: 16395 loss: 4.2859 loss_prob: 2.6937 loss_thr: 0.9713 loss_db: 0.6210 2022/11/02 12:38:19 - mmengine - INFO - Epoch(train) [41][55/63] lr: 8.0927e-04 eta: 15:23:47 time: 0.5562 data_time: 0.0181 memory: 16395 loss: 4.4023 loss_prob: 2.7819 loss_thr: 0.9797 loss_db: 0.6408 2022/11/02 12:38:22 - mmengine - INFO - Epoch(train) [41][60/63] lr: 8.0927e-04 eta: 15:22:43 time: 0.5589 data_time: 0.0124 memory: 16395 loss: 4.3131 loss_prob: 2.7405 loss_thr: 0.9594 loss_db: 0.6132 2022/11/02 12:38:23 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:38:28 - mmengine - INFO - Epoch(train) [42][5/63] lr: 8.2945e-04 eta: 15:22:43 time: 0.7743 data_time: 0.2153 memory: 16395 loss: 4.2093 loss_prob: 2.6720 loss_thr: 0.9579 loss_db: 0.5794 2022/11/02 12:38:31 - mmengine - INFO - Epoch(train) [42][10/63] lr: 8.2945e-04 eta: 15:21:43 time: 0.8076 data_time: 0.2130 memory: 16395 loss: 4.3789 loss_prob: 2.7545 loss_thr: 0.9833 loss_db: 0.6411 2022/11/02 12:38:34 - mmengine - INFO - Epoch(train) [42][15/63] lr: 8.2945e-04 eta: 15:21:43 time: 0.5474 data_time: 0.0059 memory: 16395 loss: 4.4196 loss_prob: 2.7639 loss_thr: 0.9930 loss_db: 0.6627 2022/11/02 12:38:37 - mmengine - INFO - Epoch(train) [42][20/63] lr: 8.2945e-04 eta: 15:20:33 time: 0.5335 data_time: 0.0046 memory: 16395 loss: 4.3758 loss_prob: 2.7316 loss_thr: 0.9960 loss_db: 0.6482 2022/11/02 12:38:40 - mmengine - INFO - Epoch(train) [42][25/63] lr: 8.2945e-04 eta: 15:20:33 time: 0.5665 data_time: 0.0361 memory: 16395 loss: 4.3649 loss_prob: 2.7249 loss_thr: 0.9945 loss_db: 0.6456 2022/11/02 12:38:42 - mmengine - INFO - Epoch(train) [42][30/63] lr: 8.2945e-04 eta: 15:19:33 time: 0.5717 data_time: 0.0358 memory: 16395 loss: 4.3917 loss_prob: 2.7410 loss_thr: 0.9895 loss_db: 0.6612 2022/11/02 12:38:45 - mmengine - INFO - Epoch(train) [42][35/63] lr: 8.2945e-04 eta: 15:19:33 time: 0.5280 data_time: 0.0051 memory: 16395 loss: 4.1540 loss_prob: 2.6487 loss_thr: 0.9323 loss_db: 0.5730 2022/11/02 12:38:48 - mmengine - INFO - Epoch(train) [42][40/63] lr: 8.2945e-04 eta: 15:18:23 time: 0.5316 data_time: 0.0055 memory: 16395 loss: 4.1483 loss_prob: 2.6348 loss_thr: 0.9373 loss_db: 0.5762 2022/11/02 12:38:50 - mmengine - INFO - Epoch(train) [42][45/63] lr: 8.2945e-04 eta: 15:18:23 time: 0.5377 data_time: 0.0050 memory: 16395 loss: 4.3337 loss_prob: 2.7141 loss_thr: 0.9595 loss_db: 0.6600 2022/11/02 12:38:53 - mmengine - INFO - Epoch(train) [42][50/63] lr: 8.2945e-04 eta: 15:17:19 time: 0.5514 data_time: 0.0204 memory: 16395 loss: 4.1941 loss_prob: 2.6466 loss_thr: 0.9341 loss_db: 0.6134 2022/11/02 12:38:56 - mmengine - INFO - Epoch(train) [42][55/63] lr: 8.2945e-04 eta: 15:17:19 time: 0.5540 data_time: 0.0203 memory: 16395 loss: 4.1069 loss_prob: 2.5885 loss_thr: 0.9629 loss_db: 0.5555 2022/11/02 12:38:59 - mmengine - INFO - Epoch(train) [42][60/63] lr: 8.2945e-04 eta: 15:16:14 time: 0.5432 data_time: 0.0046 memory: 16395 loss: 4.1858 loss_prob: 2.6145 loss_thr: 0.9911 loss_db: 0.5802 2022/11/02 12:39:00 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:39:05 - mmengine - INFO - Epoch(train) [43][5/63] lr: 8.4964e-04 eta: 15:16:14 time: 0.7143 data_time: 0.2082 memory: 16395 loss: 4.3235 loss_prob: 2.7144 loss_thr: 0.9731 loss_db: 0.6359 2022/11/02 12:39:08 - mmengine - INFO - Epoch(train) [43][10/63] lr: 8.4964e-04 eta: 15:15:12 time: 0.7889 data_time: 0.2114 memory: 16395 loss: 4.4384 loss_prob: 2.7433 loss_thr: 1.0187 loss_db: 0.6764 2022/11/02 12:39:11 - mmengine - INFO - Epoch(train) [43][15/63] lr: 8.4964e-04 eta: 15:15:12 time: 0.6289 data_time: 0.0090 memory: 16395 loss: 4.2418 loss_prob: 2.6266 loss_thr: 0.9987 loss_db: 0.6165 2022/11/02 12:39:15 - mmengine - INFO - Epoch(train) [43][20/63] lr: 8.4964e-04 eta: 15:14:47 time: 0.6905 data_time: 0.0075 memory: 16395 loss: 4.1362 loss_prob: 2.6033 loss_thr: 0.9616 loss_db: 0.5713 2022/11/02 12:39:18 - mmengine - INFO - Epoch(train) [43][25/63] lr: 8.4964e-04 eta: 15:14:47 time: 0.7208 data_time: 0.0314 memory: 16395 loss: 4.3344 loss_prob: 2.7218 loss_thr: 1.0022 loss_db: 0.6104 2022/11/02 12:39:21 - mmengine - INFO - Epoch(train) [43][30/63] lr: 8.4964e-04 eta: 15:14:16 time: 0.6684 data_time: 0.0296 memory: 16395 loss: 4.3544 loss_prob: 2.7236 loss_thr: 1.0063 loss_db: 0.6245 2022/11/02 12:39:25 - mmengine - INFO - Epoch(train) [43][35/63] lr: 8.4964e-04 eta: 15:14:16 time: 0.6472 data_time: 0.0099 memory: 16395 loss: 4.2278 loss_prob: 2.6532 loss_thr: 0.9726 loss_db: 0.6020 2022/11/02 12:39:28 - mmengine - INFO - Epoch(train) [43][40/63] lr: 8.4964e-04 eta: 15:13:45 time: 0.6636 data_time: 0.0104 memory: 16395 loss: 4.2701 loss_prob: 2.6880 loss_thr: 0.9811 loss_db: 0.6010 2022/11/02 12:39:31 - mmengine - INFO - Epoch(train) [43][45/63] lr: 8.4964e-04 eta: 15:13:45 time: 0.6014 data_time: 0.0052 memory: 16395 loss: 4.3883 loss_prob: 2.7383 loss_thr: 1.0055 loss_db: 0.6445 2022/11/02 12:39:34 - mmengine - INFO - Epoch(train) [43][50/63] lr: 8.4964e-04 eta: 15:13:14 time: 0.6658 data_time: 0.0261 memory: 16395 loss: 4.3184 loss_prob: 2.6902 loss_thr: 0.9853 loss_db: 0.6430 2022/11/02 12:39:38 - mmengine - INFO - Epoch(train) [43][55/63] lr: 8.4964e-04 eta: 15:13:14 time: 0.7080 data_time: 0.0262 memory: 16395 loss: 4.1833 loss_prob: 2.6225 loss_thr: 0.9573 loss_db: 0.6035 2022/11/02 12:39:41 - mmengine - INFO - Epoch(train) [43][60/63] lr: 8.4964e-04 eta: 15:12:46 time: 0.6741 data_time: 0.0110 memory: 16395 loss: 4.1023 loss_prob: 2.5891 loss_thr: 0.9407 loss_db: 0.5725 2022/11/02 12:39:43 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:39:49 - mmengine - INFO - Epoch(train) [44][5/63] lr: 8.6982e-04 eta: 15:12:46 time: 0.8699 data_time: 0.1967 memory: 16395 loss: 4.2208 loss_prob: 2.6460 loss_thr: 0.9590 loss_db: 0.6159 2022/11/02 12:39:52 - mmengine - INFO - Epoch(train) [44][10/63] lr: 8.6982e-04 eta: 15:12:29 time: 0.9514 data_time: 0.1959 memory: 16395 loss: 4.1485 loss_prob: 2.6117 loss_thr: 0.9668 loss_db: 0.5700 2022/11/02 12:39:55 - mmengine - INFO - Epoch(train) [44][15/63] lr: 8.6982e-04 eta: 15:12:29 time: 0.6278 data_time: 0.0058 memory: 16395 loss: 4.1320 loss_prob: 2.6103 loss_thr: 0.9663 loss_db: 0.5554 2022/11/02 12:39:58 - mmengine - INFO - Epoch(train) [44][20/63] lr: 8.6982e-04 eta: 15:11:36 time: 0.5786 data_time: 0.0054 memory: 16395 loss: 4.1613 loss_prob: 2.6220 loss_thr: 0.9656 loss_db: 0.5737 2022/11/02 12:40:01 - mmengine - INFO - Epoch(train) [44][25/63] lr: 8.6982e-04 eta: 15:11:36 time: 0.5995 data_time: 0.0257 memory: 16395 loss: 4.2867 loss_prob: 2.6717 loss_thr: 0.9825 loss_db: 0.6325 2022/11/02 12:40:05 - mmengine - INFO - Epoch(train) [44][30/63] lr: 8.6982e-04 eta: 15:11:03 time: 0.6552 data_time: 0.0554 memory: 16395 loss: 4.3487 loss_prob: 2.7031 loss_thr: 0.9927 loss_db: 0.6529 2022/11/02 12:40:08 - mmengine - INFO - Epoch(train) [44][35/63] lr: 8.6982e-04 eta: 15:11:03 time: 0.6663 data_time: 0.0346 memory: 16395 loss: 4.2511 loss_prob: 2.6885 loss_thr: 0.9625 loss_db: 0.6002 2022/11/02 12:40:10 - mmengine - INFO - Epoch(train) [44][40/63] lr: 8.6982e-04 eta: 15:10:07 time: 0.5685 data_time: 0.0065 memory: 16395 loss: 4.2214 loss_prob: 2.6701 loss_thr: 0.9461 loss_db: 0.6053 2022/11/02 12:40:13 - mmengine - INFO - Epoch(train) [44][45/63] lr: 8.6982e-04 eta: 15:10:07 time: 0.5262 data_time: 0.0064 memory: 16395 loss: 4.3468 loss_prob: 2.7059 loss_thr: 0.9855 loss_db: 0.6554 2022/11/02 12:40:16 - mmengine - INFO - Epoch(train) [44][50/63] lr: 8.6982e-04 eta: 15:09:03 time: 0.5357 data_time: 0.0111 memory: 16395 loss: 4.1879 loss_prob: 2.6314 loss_thr: 0.9744 loss_db: 0.5821 2022/11/02 12:40:18 - mmengine - INFO - Epoch(train) [44][55/63] lr: 8.6982e-04 eta: 15:09:03 time: 0.5483 data_time: 0.0195 memory: 16395 loss: 3.9816 loss_prob: 2.5302 loss_thr: 0.9454 loss_db: 0.5059 2022/11/02 12:40:21 - mmengine - INFO - Epoch(train) [44][60/63] lr: 8.6982e-04 eta: 15:08:02 time: 0.5441 data_time: 0.0140 memory: 16395 loss: 4.0232 loss_prob: 2.5596 loss_thr: 0.9280 loss_db: 0.5356 2022/11/02 12:40:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:40:27 - mmengine - INFO - Epoch(train) [45][5/63] lr: 8.9000e-04 eta: 15:08:02 time: 0.7381 data_time: 0.1851 memory: 16395 loss: 4.1882 loss_prob: 2.6454 loss_thr: 0.9526 loss_db: 0.5902 2022/11/02 12:40:30 - mmengine - INFO - Epoch(train) [45][10/63] lr: 8.9000e-04 eta: 15:07:08 time: 0.8032 data_time: 0.1837 memory: 16395 loss: 4.1233 loss_prob: 2.6115 loss_thr: 0.9423 loss_db: 0.5695 2022/11/02 12:40:33 - mmengine - INFO - Epoch(train) [45][15/63] lr: 8.9000e-04 eta: 15:07:08 time: 0.5788 data_time: 0.0055 memory: 16395 loss: 4.0549 loss_prob: 2.5625 loss_thr: 0.9462 loss_db: 0.5462 2022/11/02 12:40:36 - mmengine - INFO - Epoch(train) [45][20/63] lr: 8.9000e-04 eta: 15:06:10 time: 0.5563 data_time: 0.0075 memory: 16395 loss: 4.2145 loss_prob: 2.6118 loss_thr: 0.9831 loss_db: 0.6196 2022/11/02 12:40:39 - mmengine - INFO - Epoch(train) [45][25/63] lr: 8.9000e-04 eta: 15:06:10 time: 0.5421 data_time: 0.0159 memory: 16395 loss: 4.2651 loss_prob: 2.6475 loss_thr: 0.9890 loss_db: 0.6286 2022/11/02 12:40:42 - mmengine - INFO - Epoch(train) [45][30/63] lr: 8.9000e-04 eta: 15:05:24 time: 0.5982 data_time: 0.0426 memory: 16395 loss: 4.2815 loss_prob: 2.6816 loss_thr: 0.9813 loss_db: 0.6185 2022/11/02 12:40:44 - mmengine - INFO - Epoch(train) [45][35/63] lr: 8.9000e-04 eta: 15:05:24 time: 0.5814 data_time: 0.0338 memory: 16395 loss: 4.2659 loss_prob: 2.6705 loss_thr: 0.9775 loss_db: 0.6179 2022/11/02 12:40:47 - mmengine - INFO - Epoch(train) [45][40/63] lr: 8.9000e-04 eta: 15:04:19 time: 0.5216 data_time: 0.0046 memory: 16395 loss: 4.1354 loss_prob: 2.5986 loss_thr: 0.9559 loss_db: 0.5810 2022/11/02 12:40:50 - mmengine - INFO - Epoch(train) [45][45/63] lr: 8.9000e-04 eta: 15:04:19 time: 0.5292 data_time: 0.0054 memory: 16395 loss: 4.0687 loss_prob: 2.5652 loss_thr: 0.9532 loss_db: 0.5503 2022/11/02 12:40:52 - mmengine - INFO - Epoch(train) [45][50/63] lr: 8.9000e-04 eta: 15:03:13 time: 0.5200 data_time: 0.0095 memory: 16395 loss: 4.1132 loss_prob: 2.5937 loss_thr: 0.9577 loss_db: 0.5619 2022/11/02 12:40:55 - mmengine - INFO - Epoch(train) [45][55/63] lr: 8.9000e-04 eta: 15:03:13 time: 0.5374 data_time: 0.0215 memory: 16395 loss: 4.1651 loss_prob: 2.6206 loss_thr: 0.9545 loss_db: 0.5900 2022/11/02 12:40:58 - mmengine - INFO - Epoch(train) [45][60/63] lr: 8.9000e-04 eta: 15:02:09 time: 0.5226 data_time: 0.0180 memory: 16395 loss: 4.1907 loss_prob: 2.6113 loss_thr: 0.9642 loss_db: 0.6152 2022/11/02 12:40:59 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:41:04 - mmengine - INFO - Epoch(train) [46][5/63] lr: 9.1018e-04 eta: 15:02:09 time: 0.7205 data_time: 0.2142 memory: 16395 loss: 4.2389 loss_prob: 2.6715 loss_thr: 0.9502 loss_db: 0.6172 2022/11/02 12:41:06 - mmengine - INFO - Epoch(train) [46][10/63] lr: 9.1018e-04 eta: 15:01:03 time: 0.7491 data_time: 0.2180 memory: 16395 loss: 4.2825 loss_prob: 2.6857 loss_thr: 0.9606 loss_db: 0.6362 2022/11/02 12:41:09 - mmengine - INFO - Epoch(train) [46][15/63] lr: 9.1018e-04 eta: 15:01:03 time: 0.5114 data_time: 0.0103 memory: 16395 loss: 4.2548 loss_prob: 2.6615 loss_thr: 0.9694 loss_db: 0.6239 2022/11/02 12:41:12 - mmengine - INFO - Epoch(train) [46][20/63] lr: 9.1018e-04 eta: 15:00:04 time: 0.5408 data_time: 0.0077 memory: 16395 loss: 4.2424 loss_prob: 2.6676 loss_thr: 0.9699 loss_db: 0.6048 2022/11/02 12:41:15 - mmengine - INFO - Epoch(train) [46][25/63] lr: 9.1018e-04 eta: 15:00:04 time: 0.5662 data_time: 0.0313 memory: 16395 loss: 4.2169 loss_prob: 2.6552 loss_thr: 0.9681 loss_db: 0.5936 2022/11/02 12:41:17 - mmengine - INFO - Epoch(train) [46][30/63] lr: 9.1018e-04 eta: 14:59:13 time: 0.5683 data_time: 0.0356 memory: 16395 loss: 4.1508 loss_prob: 2.6199 loss_thr: 0.9510 loss_db: 0.5799 2022/11/02 12:41:20 - mmengine - INFO - Epoch(train) [46][35/63] lr: 9.1018e-04 eta: 14:59:13 time: 0.5392 data_time: 0.0104 memory: 16395 loss: 4.1352 loss_prob: 2.6280 loss_thr: 0.9409 loss_db: 0.5662 2022/11/02 12:41:22 - mmengine - INFO - Epoch(train) [46][40/63] lr: 9.1018e-04 eta: 14:58:04 time: 0.4982 data_time: 0.0055 memory: 16395 loss: 4.1074 loss_prob: 2.6103 loss_thr: 0.9405 loss_db: 0.5566 2022/11/02 12:41:25 - mmengine - INFO - Epoch(train) [46][45/63] lr: 9.1018e-04 eta: 14:58:04 time: 0.5089 data_time: 0.0089 memory: 16395 loss: 3.9882 loss_prob: 2.5395 loss_thr: 0.9294 loss_db: 0.5193 2022/11/02 12:41:28 - mmengine - INFO - Epoch(train) [46][50/63] lr: 9.1018e-04 eta: 14:57:12 time: 0.5676 data_time: 0.0208 memory: 16395 loss: 4.0236 loss_prob: 2.5982 loss_thr: 0.9216 loss_db: 0.5037 2022/11/02 12:41:31 - mmengine - INFO - Epoch(train) [46][55/63] lr: 9.1018e-04 eta: 14:57:12 time: 0.5569 data_time: 0.0205 memory: 16395 loss: 4.0895 loss_prob: 2.6169 loss_thr: 0.9290 loss_db: 0.5435 2022/11/02 12:41:33 - mmengine - INFO - Epoch(train) [46][60/63] lr: 9.1018e-04 eta: 14:56:03 time: 0.4951 data_time: 0.0073 memory: 16395 loss: 4.1629 loss_prob: 2.6272 loss_thr: 0.9585 loss_db: 0.5772 2022/11/02 12:41:34 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:41:39 - mmengine - INFO - Epoch(train) [47][5/63] lr: 9.3036e-04 eta: 14:56:03 time: 0.6837 data_time: 0.2129 memory: 16395 loss: 4.2694 loss_prob: 2.6726 loss_thr: 0.9646 loss_db: 0.6323 2022/11/02 12:41:42 - mmengine - INFO - Epoch(train) [47][10/63] lr: 9.3036e-04 eta: 14:55:03 time: 0.7583 data_time: 0.2162 memory: 16395 loss: 4.1760 loss_prob: 2.6429 loss_thr: 0.9201 loss_db: 0.6130 2022/11/02 12:41:45 - mmengine - INFO - Epoch(train) [47][15/63] lr: 9.3036e-04 eta: 14:55:03 time: 0.5960 data_time: 0.0121 memory: 16395 loss: 4.0336 loss_prob: 2.5786 loss_thr: 0.9139 loss_db: 0.5411 2022/11/02 12:41:48 - mmengine - INFO - Epoch(train) [47][20/63] lr: 9.3036e-04 eta: 14:54:39 time: 0.6716 data_time: 0.0099 memory: 16395 loss: 3.9705 loss_prob: 2.5317 loss_thr: 0.9127 loss_db: 0.5261 2022/11/02 12:41:52 - mmengine - INFO - Epoch(train) [47][25/63] lr: 9.3036e-04 eta: 14:54:39 time: 0.7273 data_time: 0.0114 memory: 16395 loss: 4.0115 loss_prob: 2.5491 loss_thr: 0.9207 loss_db: 0.5416 2022/11/02 12:41:56 - mmengine - INFO - Epoch(train) [47][30/63] lr: 9.3036e-04 eta: 14:54:28 time: 0.7240 data_time: 0.0402 memory: 16395 loss: 3.9950 loss_prob: 2.5425 loss_thr: 0.9388 loss_db: 0.5137 2022/11/02 12:41:59 - mmengine - INFO - Epoch(train) [47][35/63] lr: 9.3036e-04 eta: 14:54:28 time: 0.7320 data_time: 0.0371 memory: 16395 loss: 3.9708 loss_prob: 2.5346 loss_thr: 0.9350 loss_db: 0.5012 2022/11/02 12:42:03 - mmengine - INFO - Epoch(train) [47][40/63] lr: 9.3036e-04 eta: 14:54:21 time: 0.7388 data_time: 0.0073 memory: 16395 loss: 4.0272 loss_prob: 2.5621 loss_thr: 0.9347 loss_db: 0.5305 2022/11/02 12:42:06 - mmengine - INFO - Epoch(train) [47][45/63] lr: 9.3036e-04 eta: 14:54:21 time: 0.7016 data_time: 0.0048 memory: 16395 loss: 4.0017 loss_prob: 2.5533 loss_thr: 0.9206 loss_db: 0.5278 2022/11/02 12:42:10 - mmengine - INFO - Epoch(train) [47][50/63] lr: 9.3036e-04 eta: 14:53:53 time: 0.6579 data_time: 0.0152 memory: 16395 loss: 4.1367 loss_prob: 2.6163 loss_thr: 0.9503 loss_db: 0.5700 2022/11/02 12:42:13 - mmengine - INFO - Epoch(train) [47][55/63] lr: 9.3036e-04 eta: 14:53:53 time: 0.6197 data_time: 0.0221 memory: 16395 loss: 4.2834 loss_prob: 2.6764 loss_thr: 0.9871 loss_db: 0.6199 2022/11/02 12:42:16 - mmengine - INFO - Epoch(train) [47][60/63] lr: 9.3036e-04 eta: 14:53:11 time: 0.5973 data_time: 0.0162 memory: 16395 loss: 4.2479 loss_prob: 2.6638 loss_thr: 0.9838 loss_db: 0.6003 2022/11/02 12:42:17 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:42:23 - mmengine - INFO - Epoch(train) [48][5/63] lr: 9.5055e-04 eta: 14:53:11 time: 0.9044 data_time: 0.2253 memory: 16395 loss: 4.0705 loss_prob: 2.5644 loss_thr: 0.9544 loss_db: 0.5517 2022/11/02 12:42:27 - mmengine - INFO - Epoch(train) [48][10/63] lr: 9.5055e-04 eta: 14:53:04 time: 0.9693 data_time: 0.2271 memory: 16395 loss: 4.0727 loss_prob: 2.5658 loss_thr: 0.9565 loss_db: 0.5503 2022/11/02 12:42:30 - mmengine - INFO - Epoch(train) [48][15/63] lr: 9.5055e-04 eta: 14:53:04 time: 0.6330 data_time: 0.0086 memory: 16395 loss: 3.9176 loss_prob: 2.4898 loss_thr: 0.9347 loss_db: 0.4932 2022/11/02 12:42:33 - mmengine - INFO - Epoch(train) [48][20/63] lr: 9.5055e-04 eta: 14:52:12 time: 0.5543 data_time: 0.0056 memory: 16395 loss: 3.9272 loss_prob: 2.4926 loss_thr: 0.9314 loss_db: 0.5032 2022/11/02 12:42:35 - mmengine - INFO - Epoch(train) [48][25/63] lr: 9.5055e-04 eta: 14:52:12 time: 0.5747 data_time: 0.0159 memory: 16395 loss: 3.9512 loss_prob: 2.5038 loss_thr: 0.9288 loss_db: 0.5186 2022/11/02 12:42:38 - mmengine - INFO - Epoch(train) [48][30/63] lr: 9.5055e-04 eta: 14:51:28 time: 0.5861 data_time: 0.0353 memory: 16395 loss: 4.0764 loss_prob: 2.5832 loss_thr: 0.9207 loss_db: 0.5724 2022/11/02 12:42:41 - mmengine - INFO - Epoch(train) [48][35/63] lr: 9.5055e-04 eta: 14:51:28 time: 0.6023 data_time: 0.0235 memory: 16395 loss: 4.1983 loss_prob: 2.6633 loss_thr: 0.9185 loss_db: 0.6165 2022/11/02 12:42:43 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:42:44 - mmengine - INFO - Epoch(train) [48][40/63] lr: 9.5055e-04 eta: 14:50:36 time: 0.5533 data_time: 0.0047 memory: 16395 loss: 4.1002 loss_prob: 2.6095 loss_thr: 0.9202 loss_db: 0.5704 2022/11/02 12:42:46 - mmengine - INFO - Epoch(train) [48][45/63] lr: 9.5055e-04 eta: 14:50:36 time: 0.5040 data_time: 0.0052 memory: 16395 loss: 4.0449 loss_prob: 2.5739 loss_thr: 0.9250 loss_db: 0.5460 2022/11/02 12:42:49 - mmengine - INFO - Epoch(train) [48][50/63] lr: 9.5055e-04 eta: 14:49:35 time: 0.5123 data_time: 0.0151 memory: 16395 loss: 4.0414 loss_prob: 2.5594 loss_thr: 0.9236 loss_db: 0.5584 2022/11/02 12:42:52 - mmengine - INFO - Epoch(train) [48][55/63] lr: 9.5055e-04 eta: 14:49:35 time: 0.5198 data_time: 0.0218 memory: 16395 loss: 4.1131 loss_prob: 2.5900 loss_thr: 0.9517 loss_db: 0.5715 2022/11/02 12:42:54 - mmengine - INFO - Epoch(train) [48][60/63] lr: 9.5055e-04 eta: 14:48:39 time: 0.5318 data_time: 0.0115 memory: 16395 loss: 4.2001 loss_prob: 2.6284 loss_thr: 0.9651 loss_db: 0.6066 2022/11/02 12:42:56 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:43:01 - mmengine - INFO - Epoch(train) [49][5/63] lr: 9.7073e-04 eta: 14:48:39 time: 0.7538 data_time: 0.2053 memory: 16395 loss: 3.9780 loss_prob: 2.5485 loss_thr: 0.9212 loss_db: 0.5082 2022/11/02 12:43:04 - mmengine - INFO - Epoch(train) [49][10/63] lr: 9.7073e-04 eta: 14:47:56 time: 0.8158 data_time: 0.2067 memory: 16395 loss: 4.0063 loss_prob: 2.5484 loss_thr: 0.9269 loss_db: 0.5310 2022/11/02 12:43:07 - mmengine - INFO - Epoch(train) [49][15/63] lr: 9.7073e-04 eta: 14:47:56 time: 0.5876 data_time: 0.0094 memory: 16395 loss: 4.0958 loss_prob: 2.5782 loss_thr: 0.9676 loss_db: 0.5500 2022/11/02 12:43:09 - mmengine - INFO - Epoch(train) [49][20/63] lr: 9.7073e-04 eta: 14:47:06 time: 0.5569 data_time: 0.0079 memory: 16395 loss: 4.0341 loss_prob: 2.5437 loss_thr: 0.9570 loss_db: 0.5334 2022/11/02 12:43:12 - mmengine - INFO - Epoch(train) [49][25/63] lr: 9.7073e-04 eta: 14:47:06 time: 0.5655 data_time: 0.0137 memory: 16395 loss: 3.9252 loss_prob: 2.5000 loss_thr: 0.9375 loss_db: 0.4877 2022/11/02 12:43:15 - mmengine - INFO - Epoch(train) [49][30/63] lr: 9.7073e-04 eta: 14:46:15 time: 0.5476 data_time: 0.0268 memory: 16395 loss: 3.9305 loss_prob: 2.5020 loss_thr: 0.9343 loss_db: 0.4942 2022/11/02 12:43:17 - mmengine - INFO - Epoch(train) [49][35/63] lr: 9.7073e-04 eta: 14:46:15 time: 0.5154 data_time: 0.0215 memory: 16395 loss: 3.9978 loss_prob: 2.5372 loss_thr: 0.9181 loss_db: 0.5424 2022/11/02 12:43:20 - mmengine - INFO - Epoch(train) [49][40/63] lr: 9.7073e-04 eta: 14:45:10 time: 0.4882 data_time: 0.0080 memory: 16395 loss: 4.1326 loss_prob: 2.5953 loss_thr: 0.9474 loss_db: 0.5899 2022/11/02 12:43:23 - mmengine - INFO - Epoch(train) [49][45/63] lr: 9.7073e-04 eta: 14:45:10 time: 0.5365 data_time: 0.0044 memory: 16395 loss: 4.1163 loss_prob: 2.5770 loss_thr: 0.9601 loss_db: 0.5792 2022/11/02 12:43:26 - mmengine - INFO - Epoch(train) [49][50/63] lr: 9.7073e-04 eta: 14:44:24 time: 0.5682 data_time: 0.0141 memory: 16395 loss: 4.0429 loss_prob: 2.5883 loss_thr: 0.9193 loss_db: 0.5353 2022/11/02 12:43:28 - mmengine - INFO - Epoch(train) [49][55/63] lr: 9.7073e-04 eta: 14:44:24 time: 0.5438 data_time: 0.0191 memory: 16395 loss: 4.0642 loss_prob: 2.5927 loss_thr: 0.9281 loss_db: 0.5434 2022/11/02 12:43:31 - mmengine - INFO - Epoch(train) [49][60/63] lr: 9.7073e-04 eta: 14:43:24 time: 0.5099 data_time: 0.0124 memory: 16395 loss: 3.9483 loss_prob: 2.5045 loss_thr: 0.9291 loss_db: 0.5147 2022/11/02 12:43:32 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:43:38 - mmengine - INFO - Epoch(train) [50][5/63] lr: 9.9091e-04 eta: 14:43:24 time: 0.8034 data_time: 0.2601 memory: 16395 loss: 3.9794 loss_prob: 2.5262 loss_thr: 0.9253 loss_db: 0.5278 2022/11/02 12:43:40 - mmengine - INFO - Epoch(train) [50][10/63] lr: 9.9091e-04 eta: 14:42:48 time: 0.8378 data_time: 0.2644 memory: 16395 loss: 4.1639 loss_prob: 2.6214 loss_thr: 0.9521 loss_db: 0.5904 2022/11/02 12:43:43 - mmengine - INFO - Epoch(train) [50][15/63] lr: 9.9091e-04 eta: 14:42:48 time: 0.5564 data_time: 0.0128 memory: 16395 loss: 4.0026 loss_prob: 2.5489 loss_thr: 0.9107 loss_db: 0.5431 2022/11/02 12:43:46 - mmengine - INFO - Epoch(train) [50][20/63] lr: 9.9091e-04 eta: 14:42:00 time: 0.5536 data_time: 0.0068 memory: 16395 loss: 3.9201 loss_prob: 2.4981 loss_thr: 0.9063 loss_db: 0.5157 2022/11/02 12:43:48 - mmengine - INFO - Epoch(train) [50][25/63] lr: 9.9091e-04 eta: 14:42:00 time: 0.5279 data_time: 0.0127 memory: 16395 loss: 3.9958 loss_prob: 2.5386 loss_thr: 0.9223 loss_db: 0.5349 2022/11/02 12:43:51 - mmengine - INFO - Epoch(train) [50][30/63] lr: 9.9091e-04 eta: 14:41:13 time: 0.5624 data_time: 0.0315 memory: 16395 loss: 4.1479 loss_prob: 2.6197 loss_thr: 0.9224 loss_db: 0.6057 2022/11/02 12:43:54 - mmengine - INFO - Epoch(train) [50][35/63] lr: 9.9091e-04 eta: 14:41:13 time: 0.5359 data_time: 0.0258 memory: 16395 loss: 4.0738 loss_prob: 2.5590 loss_thr: 0.9339 loss_db: 0.5809 2022/11/02 12:43:57 - mmengine - INFO - Epoch(train) [50][40/63] lr: 9.9091e-04 eta: 14:40:16 time: 0.5142 data_time: 0.0086 memory: 16395 loss: 3.8836 loss_prob: 2.4593 loss_thr: 0.9307 loss_db: 0.4936 2022/11/02 12:43:59 - mmengine - INFO - Epoch(train) [50][45/63] lr: 9.9091e-04 eta: 14:40:16 time: 0.5219 data_time: 0.0085 memory: 16395 loss: 3.7190 loss_prob: 2.3623 loss_thr: 0.9004 loss_db: 0.4563 2022/11/02 12:44:02 - mmengine - INFO - Epoch(train) [50][50/63] lr: 9.9091e-04 eta: 14:39:22 time: 0.5269 data_time: 0.0226 memory: 16395 loss: 3.8440 loss_prob: 2.4267 loss_thr: 0.9196 loss_db: 0.4976 2022/11/02 12:44:04 - mmengine - INFO - Epoch(train) [50][55/63] lr: 9.9091e-04 eta: 14:39:22 time: 0.5360 data_time: 0.0203 memory: 16395 loss: 3.9613 loss_prob: 2.4962 loss_thr: 0.9362 loss_db: 0.5289 2022/11/02 12:44:07 - mmengine - INFO - Epoch(train) [50][60/63] lr: 9.9091e-04 eta: 14:38:29 time: 0.5264 data_time: 0.0065 memory: 16395 loss: 3.8002 loss_prob: 2.4254 loss_thr: 0.8930 loss_db: 0.4818 2022/11/02 12:44:09 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:44:14 - mmengine - INFO - Epoch(train) [51][5/63] lr: 1.0111e-03 eta: 14:38:29 time: 0.7693 data_time: 0.2427 memory: 16395 loss: 3.8647 loss_prob: 2.4673 loss_thr: 0.9086 loss_db: 0.4888 2022/11/02 12:44:17 - mmengine - INFO - Epoch(train) [51][10/63] lr: 1.0111e-03 eta: 14:37:57 time: 0.8493 data_time: 0.2410 memory: 16395 loss: 3.8715 loss_prob: 2.4722 loss_thr: 0.9119 loss_db: 0.4874 2022/11/02 12:44:21 - mmengine - INFO - Epoch(train) [51][15/63] lr: 1.0111e-03 eta: 14:37:57 time: 0.7085 data_time: 0.0096 memory: 16395 loss: 4.1169 loss_prob: 2.5808 loss_thr: 0.9563 loss_db: 0.5797 2022/11/02 12:44:25 - mmengine - INFO - Epoch(train) [51][20/63] lr: 1.0111e-03 eta: 14:38:05 time: 0.7942 data_time: 0.0128 memory: 16395 loss: 4.2356 loss_prob: 2.6445 loss_thr: 0.9647 loss_db: 0.6264 2022/11/02 12:44:28 - mmengine - INFO - Epoch(train) [51][25/63] lr: 1.0111e-03 eta: 14:38:05 time: 0.7136 data_time: 0.0361 memory: 16395 loss: 4.1610 loss_prob: 2.6426 loss_thr: 0.9442 loss_db: 0.5742 2022/11/02 12:44:31 - mmengine - INFO - Epoch(train) [51][30/63] lr: 1.0111e-03 eta: 14:37:22 time: 0.5706 data_time: 0.0338 memory: 16395 loss: 3.9964 loss_prob: 2.5469 loss_thr: 0.9289 loss_db: 0.5206 2022/11/02 12:44:34 - mmengine - INFO - Epoch(train) [51][35/63] lr: 1.0111e-03 eta: 14:37:22 time: 0.5602 data_time: 0.0063 memory: 16395 loss: 3.9536 loss_prob: 2.5188 loss_thr: 0.9271 loss_db: 0.5078 2022/11/02 12:44:37 - mmengine - INFO - Epoch(train) [51][40/63] lr: 1.0111e-03 eta: 14:36:44 time: 0.5931 data_time: 0.0050 memory: 16395 loss: 3.9585 loss_prob: 2.5318 loss_thr: 0.9220 loss_db: 0.5047 2022/11/02 12:44:40 - mmengine - INFO - Epoch(train) [51][45/63] lr: 1.0111e-03 eta: 14:36:44 time: 0.6227 data_time: 0.0060 memory: 16395 loss: 3.7938 loss_prob: 2.4242 loss_thr: 0.9005 loss_db: 0.4690 2022/11/02 12:44:43 - mmengine - INFO - Epoch(train) [51][50/63] lr: 1.0111e-03 eta: 14:36:10 time: 0.6044 data_time: 0.0208 memory: 16395 loss: 3.9506 loss_prob: 2.5137 loss_thr: 0.9196 loss_db: 0.5173 2022/11/02 12:44:46 - mmengine - INFO - Epoch(train) [51][55/63] lr: 1.0111e-03 eta: 14:36:10 time: 0.6088 data_time: 0.0223 memory: 16395 loss: 3.8765 loss_prob: 2.4714 loss_thr: 0.8993 loss_db: 0.5058 2022/11/02 12:44:50 - mmengine - INFO - Epoch(train) [51][60/63] lr: 1.0111e-03 eta: 14:36:04 time: 0.7331 data_time: 0.0081 memory: 16395 loss: 3.8876 loss_prob: 2.4713 loss_thr: 0.9125 loss_db: 0.5038 2022/11/02 12:44:51 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:44:58 - mmengine - INFO - Epoch(train) [52][5/63] lr: 1.0313e-03 eta: 14:36:04 time: 0.9282 data_time: 0.2040 memory: 16395 loss: 4.0338 loss_prob: 2.5764 loss_thr: 0.9004 loss_db: 0.5571 2022/11/02 12:45:01 - mmengine - INFO - Epoch(train) [52][10/63] lr: 1.0313e-03 eta: 14:35:51 time: 0.9270 data_time: 0.2059 memory: 16395 loss: 3.9926 loss_prob: 2.5414 loss_thr: 0.9018 loss_db: 0.5494 2022/11/02 12:45:05 - mmengine - INFO - Epoch(train) [52][15/63] lr: 1.0313e-03 eta: 14:35:51 time: 0.6797 data_time: 0.0116 memory: 16395 loss: 3.7877 loss_prob: 2.4053 loss_thr: 0.9077 loss_db: 0.4747 2022/11/02 12:45:09 - mmengine - INFO - Epoch(train) [52][20/63] lr: 1.0313e-03 eta: 14:35:56 time: 0.7815 data_time: 0.0135 memory: 16395 loss: 3.9938 loss_prob: 2.5417 loss_thr: 0.9469 loss_db: 0.5052 2022/11/02 12:45:12 - mmengine - INFO - Epoch(train) [52][25/63] lr: 1.0313e-03 eta: 14:35:56 time: 0.6825 data_time: 0.0209 memory: 16395 loss: 4.0643 loss_prob: 2.5916 loss_thr: 0.9485 loss_db: 0.5242 2022/11/02 12:45:15 - mmengine - INFO - Epoch(train) [52][30/63] lr: 1.0313e-03 eta: 14:35:32 time: 0.6521 data_time: 0.0285 memory: 16395 loss: 3.8297 loss_prob: 2.4405 loss_thr: 0.9022 loss_db: 0.4870 2022/11/02 12:45:18 - mmengine - INFO - Epoch(train) [52][35/63] lr: 1.0313e-03 eta: 14:35:32 time: 0.6317 data_time: 0.0178 memory: 16395 loss: 3.9963 loss_prob: 2.5364 loss_thr: 0.9140 loss_db: 0.5459 2022/11/02 12:45:21 - mmengine - INFO - Epoch(train) [52][40/63] lr: 1.0313e-03 eta: 14:34:55 time: 0.5928 data_time: 0.0092 memory: 16395 loss: 3.8939 loss_prob: 2.4806 loss_thr: 0.8963 loss_db: 0.5170 2022/11/02 12:45:24 - mmengine - INFO - Epoch(train) [52][45/63] lr: 1.0313e-03 eta: 14:34:55 time: 0.5683 data_time: 0.0115 memory: 16395 loss: 3.8516 loss_prob: 2.4433 loss_thr: 0.9196 loss_db: 0.4886 2022/11/02 12:45:27 - mmengine - INFO - Epoch(train) [52][50/63] lr: 1.0313e-03 eta: 14:34:09 time: 0.5514 data_time: 0.0154 memory: 16395 loss: 4.0061 loss_prob: 2.5364 loss_thr: 0.9445 loss_db: 0.5252 2022/11/02 12:45:29 - mmengine - INFO - Epoch(train) [52][55/63] lr: 1.0313e-03 eta: 14:34:09 time: 0.5596 data_time: 0.0274 memory: 16395 loss: 3.9287 loss_prob: 2.5053 loss_thr: 0.9222 loss_db: 0.5012 2022/11/02 12:45:32 - mmengine - INFO - Epoch(train) [52][60/63] lr: 1.0313e-03 eta: 14:33:15 time: 0.5122 data_time: 0.0219 memory: 16395 loss: 3.8274 loss_prob: 2.4353 loss_thr: 0.9055 loss_db: 0.4866 2022/11/02 12:45:33 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:45:38 - mmengine - INFO - Epoch(train) [53][5/63] lr: 1.0515e-03 eta: 14:33:15 time: 0.7188 data_time: 0.2395 memory: 16395 loss: 3.9993 loss_prob: 2.5612 loss_thr: 0.9179 loss_db: 0.5202 2022/11/02 12:45:41 - mmengine - INFO - Epoch(train) [53][10/63] lr: 1.0515e-03 eta: 14:32:45 time: 0.8466 data_time: 0.2397 memory: 16395 loss: 3.9980 loss_prob: 2.5366 loss_thr: 0.9249 loss_db: 0.5364 2022/11/02 12:45:44 - mmengine - INFO - Epoch(train) [53][15/63] lr: 1.0515e-03 eta: 14:32:45 time: 0.6260 data_time: 0.0058 memory: 16395 loss: 4.0185 loss_prob: 2.5657 loss_thr: 0.9151 loss_db: 0.5377 2022/11/02 12:45:47 - mmengine - INFO - Epoch(train) [53][20/63] lr: 1.0515e-03 eta: 14:32:06 time: 0.5799 data_time: 0.0057 memory: 16395 loss: 4.1305 loss_prob: 2.6110 loss_thr: 0.9569 loss_db: 0.5626 2022/11/02 12:45:50 - mmengine - INFO - Epoch(train) [53][25/63] lr: 1.0515e-03 eta: 14:32:06 time: 0.5621 data_time: 0.0217 memory: 16395 loss: 3.9943 loss_prob: 2.5070 loss_thr: 0.9506 loss_db: 0.5367 2022/11/02 12:45:52 - mmengine - INFO - Epoch(train) [53][30/63] lr: 1.0515e-03 eta: 14:31:18 time: 0.5375 data_time: 0.0341 memory: 16395 loss: 3.9865 loss_prob: 2.5012 loss_thr: 0.9394 loss_db: 0.5458 2022/11/02 12:45:55 - mmengine - INFO - Epoch(train) [53][35/63] lr: 1.0515e-03 eta: 14:31:18 time: 0.5241 data_time: 0.0172 memory: 16395 loss: 4.1058 loss_prob: 2.5998 loss_thr: 0.9484 loss_db: 0.5577 2022/11/02 12:45:58 - mmengine - INFO - Epoch(train) [53][40/63] lr: 1.0515e-03 eta: 14:30:24 time: 0.5101 data_time: 0.0049 memory: 16395 loss: 4.0210 loss_prob: 2.5697 loss_thr: 0.9194 loss_db: 0.5319 2022/11/02 12:46:00 - mmengine - INFO - Epoch(train) [53][45/63] lr: 1.0515e-03 eta: 14:30:24 time: 0.5208 data_time: 0.0049 memory: 16395 loss: 4.0220 loss_prob: 2.5669 loss_thr: 0.9202 loss_db: 0.5350 2022/11/02 12:46:04 - mmengine - INFO - Epoch(train) [53][50/63] lr: 1.0515e-03 eta: 14:29:52 time: 0.6091 data_time: 0.0277 memory: 16395 loss: 4.0002 loss_prob: 2.5459 loss_thr: 0.9259 loss_db: 0.5284 2022/11/02 12:46:06 - mmengine - INFO - Epoch(train) [53][55/63] lr: 1.0515e-03 eta: 14:29:52 time: 0.5918 data_time: 0.0295 memory: 16395 loss: 3.9443 loss_prob: 2.4987 loss_thr: 0.9127 loss_db: 0.5330 2022/11/02 12:46:09 - mmengine - INFO - Epoch(train) [53][60/63] lr: 1.0515e-03 eta: 14:29:02 time: 0.5252 data_time: 0.0065 memory: 16395 loss: 3.9845 loss_prob: 2.5428 loss_thr: 0.9135 loss_db: 0.5282 2022/11/02 12:46:10 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:46:15 - mmengine - INFO - Epoch(train) [54][5/63] lr: 1.0716e-03 eta: 14:29:02 time: 0.7567 data_time: 0.2190 memory: 16395 loss: 3.9825 loss_prob: 2.5382 loss_thr: 0.9302 loss_db: 0.5141 2022/11/02 12:46:18 - mmengine - INFO - Epoch(train) [54][10/63] lr: 1.0716e-03 eta: 14:28:13 time: 0.7533 data_time: 0.2205 memory: 16395 loss: 3.8120 loss_prob: 2.4324 loss_thr: 0.9013 loss_db: 0.4783 2022/11/02 12:46:20 - mmengine - INFO - Epoch(train) [54][15/63] lr: 1.0716e-03 eta: 14:28:13 time: 0.5099 data_time: 0.0091 memory: 16395 loss: 3.7920 loss_prob: 2.4072 loss_thr: 0.9112 loss_db: 0.4736 2022/11/02 12:46:23 - mmengine - INFO - Epoch(train) [54][20/63] lr: 1.0716e-03 eta: 14:27:25 time: 0.5289 data_time: 0.0087 memory: 16395 loss: 3.9319 loss_prob: 2.5054 loss_thr: 0.9208 loss_db: 0.5057 2022/11/02 12:46:26 - mmengine - INFO - Epoch(train) [54][25/63] lr: 1.0716e-03 eta: 14:27:25 time: 0.5546 data_time: 0.0181 memory: 16395 loss: 3.9031 loss_prob: 2.4936 loss_thr: 0.9116 loss_db: 0.4979 2022/11/02 12:46:29 - mmengine - INFO - Epoch(train) [54][30/63] lr: 1.0716e-03 eta: 14:26:37 time: 0.5343 data_time: 0.0322 memory: 16395 loss: 3.9527 loss_prob: 2.5310 loss_thr: 0.9155 loss_db: 0.5062 2022/11/02 12:46:31 - mmengine - INFO - Epoch(train) [54][35/63] lr: 1.0716e-03 eta: 14:26:37 time: 0.4956 data_time: 0.0199 memory: 16395 loss: 3.9109 loss_prob: 2.5043 loss_thr: 0.9135 loss_db: 0.4930 2022/11/02 12:46:34 - mmengine - INFO - Epoch(train) [54][40/63] lr: 1.0716e-03 eta: 14:25:46 time: 0.5151 data_time: 0.0107 memory: 16395 loss: 3.9592 loss_prob: 2.5275 loss_thr: 0.9245 loss_db: 0.5072 2022/11/02 12:46:37 - mmengine - INFO - Epoch(train) [54][45/63] lr: 1.0716e-03 eta: 14:25:46 time: 0.5744 data_time: 0.0113 memory: 16395 loss: 3.9552 loss_prob: 2.5338 loss_thr: 0.9224 loss_db: 0.4990 2022/11/02 12:46:39 - mmengine - INFO - Epoch(train) [54][50/63] lr: 1.0716e-03 eta: 14:25:07 time: 0.5697 data_time: 0.0222 memory: 16395 loss: 3.7855 loss_prob: 2.4236 loss_thr: 0.8958 loss_db: 0.4661 2022/11/02 12:46:42 - mmengine - INFO - Epoch(train) [54][55/63] lr: 1.0716e-03 eta: 14:25:07 time: 0.5471 data_time: 0.0245 memory: 16395 loss: 3.7584 loss_prob: 2.3837 loss_thr: 0.9065 loss_db: 0.4682 2022/11/02 12:46:45 - mmengine - INFO - Epoch(train) [54][60/63] lr: 1.0716e-03 eta: 14:24:18 time: 0.5214 data_time: 0.0094 memory: 16395 loss: 3.8229 loss_prob: 2.4326 loss_thr: 0.9110 loss_db: 0.4793 2022/11/02 12:46:46 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:46:51 - mmengine - INFO - Epoch(train) [55][5/63] lr: 1.0918e-03 eta: 14:24:18 time: 0.7248 data_time: 0.2033 memory: 16395 loss: 4.0129 loss_prob: 2.5445 loss_thr: 0.9218 loss_db: 0.5466 2022/11/02 12:46:54 - mmengine - INFO - Epoch(train) [55][10/63] lr: 1.0918e-03 eta: 14:23:31 time: 0.7562 data_time: 0.2010 memory: 16395 loss: 3.9915 loss_prob: 2.5496 loss_thr: 0.9042 loss_db: 0.5377 2022/11/02 12:46:57 - mmengine - INFO - Epoch(train) [55][15/63] lr: 1.0918e-03 eta: 14:23:31 time: 0.5981 data_time: 0.0047 memory: 16395 loss: 3.9372 loss_prob: 2.4967 loss_thr: 0.9204 loss_db: 0.5201 2022/11/02 12:47:00 - mmengine - INFO - Epoch(train) [55][20/63] lr: 1.0918e-03 eta: 14:23:08 time: 0.6423 data_time: 0.0073 memory: 16395 loss: 3.8975 loss_prob: 2.4853 loss_thr: 0.9179 loss_db: 0.4943 2022/11/02 12:47:04 - mmengine - INFO - Epoch(train) [55][25/63] lr: 1.0918e-03 eta: 14:23:08 time: 0.6629 data_time: 0.0196 memory: 16395 loss: 3.9239 loss_prob: 2.5032 loss_thr: 0.9011 loss_db: 0.5196 2022/11/02 12:47:07 - mmengine - INFO - Epoch(train) [55][30/63] lr: 1.0918e-03 eta: 14:22:44 time: 0.6381 data_time: 0.0307 memory: 16395 loss: 3.9069 loss_prob: 2.4858 loss_thr: 0.9006 loss_db: 0.5205 2022/11/02 12:47:10 - mmengine - INFO - Epoch(train) [55][35/63] lr: 1.0918e-03 eta: 14:22:44 time: 0.6096 data_time: 0.0185 memory: 16395 loss: 4.0247 loss_prob: 2.5321 loss_thr: 0.9244 loss_db: 0.5682 2022/11/02 12:47:13 - mmengine - INFO - Epoch(train) [55][40/63] lr: 1.0918e-03 eta: 14:22:28 time: 0.6722 data_time: 0.0070 memory: 16395 loss: 4.1284 loss_prob: 2.5812 loss_thr: 0.9546 loss_db: 0.5925 2022/11/02 12:47:17 - mmengine - INFO - Epoch(train) [55][45/63] lr: 1.0918e-03 eta: 14:22:28 time: 0.7038 data_time: 0.0079 memory: 16395 loss: 3.8398 loss_prob: 2.4410 loss_thr: 0.9151 loss_db: 0.4838 2022/11/02 12:47:20 - mmengine - INFO - Epoch(train) [55][50/63] lr: 1.0918e-03 eta: 14:22:08 time: 0.6564 data_time: 0.0149 memory: 16395 loss: 3.6828 loss_prob: 2.3430 loss_thr: 0.8806 loss_db: 0.4592 2022/11/02 12:47:23 - mmengine - INFO - Epoch(train) [55][55/63] lr: 1.0918e-03 eta: 14:22:08 time: 0.6445 data_time: 0.0228 memory: 16395 loss: 3.7307 loss_prob: 2.3580 loss_thr: 0.9005 loss_db: 0.4721 2022/11/02 12:47:26 - mmengine - INFO - Epoch(train) [55][60/63] lr: 1.0918e-03 eta: 14:21:36 time: 0.5975 data_time: 0.0137 memory: 16395 loss: 3.7592 loss_prob: 2.3928 loss_thr: 0.9027 loss_db: 0.4637 2022/11/02 12:47:27 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:47:34 - mmengine - INFO - Epoch(train) [56][5/63] lr: 1.1120e-03 eta: 14:21:36 time: 0.9174 data_time: 0.2527 memory: 16395 loss: 3.6702 loss_prob: 2.3448 loss_thr: 0.8754 loss_db: 0.4500 2022/11/02 12:47:38 - mmengine - INFO - Epoch(train) [56][10/63] lr: 1.1120e-03 eta: 14:21:50 time: 1.0460 data_time: 0.2530 memory: 16395 loss: 3.6178 loss_prob: 2.3126 loss_thr: 0.8686 loss_db: 0.4366 2022/11/02 12:47:40 - mmengine - INFO - Epoch(train) [56][15/63] lr: 1.1120e-03 eta: 14:21:50 time: 0.6387 data_time: 0.0073 memory: 16395 loss: 3.6804 loss_prob: 2.3491 loss_thr: 0.8841 loss_db: 0.4471 2022/11/02 12:47:43 - mmengine - INFO - Epoch(train) [56][20/63] lr: 1.1120e-03 eta: 14:21:09 time: 0.5498 data_time: 0.0067 memory: 16395 loss: 3.8817 loss_prob: 2.4563 loss_thr: 0.8999 loss_db: 0.5256 2022/11/02 12:47:46 - mmengine - INFO - Epoch(train) [56][25/63] lr: 1.1120e-03 eta: 14:21:09 time: 0.6008 data_time: 0.0256 memory: 16395 loss: 4.0845 loss_prob: 2.5882 loss_thr: 0.9113 loss_db: 0.5851 2022/11/02 12:47:49 - mmengine - INFO - Epoch(train) [56][30/63] lr: 1.1120e-03 eta: 14:20:44 time: 0.6321 data_time: 0.0320 memory: 16395 loss: 3.9718 loss_prob: 2.5388 loss_thr: 0.9001 loss_db: 0.5328 2022/11/02 12:47:53 - mmengine - INFO - Epoch(train) [56][35/63] lr: 1.1120e-03 eta: 14:20:44 time: 0.6402 data_time: 0.0137 memory: 16395 loss: 3.9307 loss_prob: 2.5127 loss_thr: 0.9010 loss_db: 0.5170 2022/11/02 12:47:56 - mmengine - INFO - Epoch(train) [56][40/63] lr: 1.1120e-03 eta: 14:20:23 time: 0.6470 data_time: 0.0073 memory: 16395 loss: 4.0856 loss_prob: 2.6086 loss_thr: 0.9135 loss_db: 0.5635 2022/11/02 12:47:58 - mmengine - INFO - Epoch(train) [56][45/63] lr: 1.1120e-03 eta: 14:20:23 time: 0.5664 data_time: 0.0084 memory: 16395 loss: 3.8296 loss_prob: 2.4452 loss_thr: 0.8805 loss_db: 0.5040 2022/11/02 12:48:01 - mmengine - INFO - Epoch(train) [56][50/63] lr: 1.1120e-03 eta: 14:19:37 time: 0.5278 data_time: 0.0182 memory: 16395 loss: 3.6796 loss_prob: 2.3491 loss_thr: 0.8764 loss_db: 0.4541 2022/11/02 12:48:04 - mmengine - INFO - Epoch(train) [56][55/63] lr: 1.1120e-03 eta: 14:19:37 time: 0.5452 data_time: 0.0221 memory: 16395 loss: 3.9629 loss_prob: 2.5184 loss_thr: 0.9127 loss_db: 0.5318 2022/11/02 12:48:06 - mmengine - INFO - Epoch(train) [56][60/63] lr: 1.1120e-03 eta: 14:18:49 time: 0.5170 data_time: 0.0137 memory: 16395 loss: 3.8562 loss_prob: 2.4589 loss_thr: 0.8905 loss_db: 0.5068 2022/11/02 12:48:08 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:48:13 - mmengine - INFO - Epoch(train) [57][5/63] lr: 1.1322e-03 eta: 14:18:49 time: 0.7774 data_time: 0.2030 memory: 16395 loss: 3.7146 loss_prob: 2.3472 loss_thr: 0.8966 loss_db: 0.4708 2022/11/02 12:48:16 - mmengine - INFO - Epoch(train) [57][10/63] lr: 1.1322e-03 eta: 14:18:14 time: 0.8026 data_time: 0.2077 memory: 16395 loss: 3.8880 loss_prob: 2.4597 loss_thr: 0.9124 loss_db: 0.5159 2022/11/02 12:48:18 - mmengine - INFO - Epoch(train) [57][15/63] lr: 1.1322e-03 eta: 14:18:14 time: 0.5235 data_time: 0.0099 memory: 16395 loss: 3.7359 loss_prob: 2.3690 loss_thr: 0.8998 loss_db: 0.4671 2022/11/02 12:48:21 - mmengine - INFO - Epoch(train) [57][20/63] lr: 1.1322e-03 eta: 14:17:34 time: 0.5539 data_time: 0.0076 memory: 16395 loss: 3.7104 loss_prob: 2.3636 loss_thr: 0.9015 loss_db: 0.4453 2022/11/02 12:48:24 - mmengine - INFO - Epoch(train) [57][25/63] lr: 1.1322e-03 eta: 14:17:34 time: 0.5489 data_time: 0.0271 memory: 16395 loss: 3.9570 loss_prob: 2.5210 loss_thr: 0.9198 loss_db: 0.5163 2022/11/02 12:48:27 - mmengine - INFO - Epoch(train) [57][30/63] lr: 1.1322e-03 eta: 14:16:50 time: 0.5303 data_time: 0.0316 memory: 16395 loss: 3.8845 loss_prob: 2.4724 loss_thr: 0.9083 loss_db: 0.5038 2022/11/02 12:48:29 - mmengine - INFO - Epoch(train) [57][35/63] lr: 1.1322e-03 eta: 14:16:50 time: 0.5320 data_time: 0.0111 memory: 16395 loss: 3.8561 loss_prob: 2.4492 loss_thr: 0.9097 loss_db: 0.4973 2022/11/02 12:48:32 - mmengine - INFO - Epoch(train) [57][40/63] lr: 1.1322e-03 eta: 14:16:04 time: 0.5227 data_time: 0.0042 memory: 16395 loss: 4.1043 loss_prob: 2.5626 loss_thr: 0.9351 loss_db: 0.6065 2022/11/02 12:48:34 - mmengine - INFO - Epoch(train) [57][45/63] lr: 1.1322e-03 eta: 14:16:04 time: 0.5076 data_time: 0.0056 memory: 16395 loss: 4.1363 loss_prob: 2.5958 loss_thr: 0.9306 loss_db: 0.6099 2022/11/02 12:48:37 - mmengine - INFO - Epoch(train) [57][50/63] lr: 1.1322e-03 eta: 14:15:15 time: 0.5031 data_time: 0.0166 memory: 16395 loss: 3.7631 loss_prob: 2.4025 loss_thr: 0.8913 loss_db: 0.4693 2022/11/02 12:48:40 - mmengine - INFO - Epoch(train) [57][55/63] lr: 1.1322e-03 eta: 14:15:15 time: 0.5298 data_time: 0.0207 memory: 16395 loss: 3.6522 loss_prob: 2.3263 loss_thr: 0.8895 loss_db: 0.4364 2022/11/02 12:48:42 - mmengine - INFO - Epoch(train) [57][60/63] lr: 1.1322e-03 eta: 14:14:30 time: 0.5262 data_time: 0.0103 memory: 16395 loss: 3.6672 loss_prob: 2.3324 loss_thr: 0.8914 loss_db: 0.4434 2022/11/02 12:48:43 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:48:48 - mmengine - INFO - Epoch(train) [58][5/63] lr: 1.1524e-03 eta: 14:14:30 time: 0.7100 data_time: 0.2023 memory: 16395 loss: 3.5039 loss_prob: 2.2283 loss_thr: 0.8788 loss_db: 0.3968 2022/11/02 12:48:51 - mmengine - INFO - Epoch(train) [58][10/63] lr: 1.1524e-03 eta: 14:13:49 time: 0.7645 data_time: 0.2054 memory: 16395 loss: 3.5891 loss_prob: 2.2852 loss_thr: 0.8742 loss_db: 0.4297 2022/11/02 12:48:54 - mmengine - INFO - Epoch(train) [58][15/63] lr: 1.1524e-03 eta: 14:13:49 time: 0.5635 data_time: 0.0131 memory: 16395 loss: 3.7742 loss_prob: 2.4067 loss_thr: 0.8950 loss_db: 0.4725 2022/11/02 12:48:56 - mmengine - INFO - Epoch(train) [58][20/63] lr: 1.1524e-03 eta: 14:13:11 time: 0.5572 data_time: 0.0103 memory: 16395 loss: 3.7580 loss_prob: 2.3929 loss_thr: 0.8996 loss_db: 0.4654 2022/11/02 12:48:59 - mmengine - INFO - Epoch(train) [58][25/63] lr: 1.1524e-03 eta: 14:13:11 time: 0.5626 data_time: 0.0269 memory: 16395 loss: 3.8020 loss_prob: 2.4080 loss_thr: 0.9225 loss_db: 0.4715 2022/11/02 12:49:02 - mmengine - INFO - Epoch(train) [58][30/63] lr: 1.1524e-03 eta: 14:12:37 time: 0.5769 data_time: 0.0300 memory: 16395 loss: 3.9226 loss_prob: 2.4767 loss_thr: 0.9397 loss_db: 0.5063 2022/11/02 12:49:05 - mmengine - INFO - Epoch(train) [58][35/63] lr: 1.1524e-03 eta: 14:12:37 time: 0.5362 data_time: 0.0102 memory: 16395 loss: 3.8575 loss_prob: 2.4671 loss_thr: 0.9015 loss_db: 0.4889 2022/11/02 12:49:08 - mmengine - INFO - Epoch(train) [58][40/63] lr: 1.1524e-03 eta: 14:11:53 time: 0.5253 data_time: 0.0082 memory: 16395 loss: 3.8022 loss_prob: 2.4330 loss_thr: 0.8812 loss_db: 0.4879 2022/11/02 12:49:10 - mmengine - INFO - Epoch(train) [58][45/63] lr: 1.1524e-03 eta: 14:11:53 time: 0.5389 data_time: 0.0059 memory: 16395 loss: 3.7476 loss_prob: 2.3800 loss_thr: 0.8881 loss_db: 0.4796 2022/11/02 12:49:13 - mmengine - INFO - Epoch(train) [58][50/63] lr: 1.1524e-03 eta: 14:11:19 time: 0.5703 data_time: 0.0207 memory: 16395 loss: 3.6792 loss_prob: 2.3331 loss_thr: 0.8878 loss_db: 0.4583 2022/11/02 12:49:16 - mmengine - INFO - Epoch(train) [58][55/63] lr: 1.1524e-03 eta: 14:11:19 time: 0.5893 data_time: 0.0225 memory: 16395 loss: 3.6477 loss_prob: 2.3083 loss_thr: 0.8852 loss_db: 0.4543 2022/11/02 12:49:19 - mmengine - INFO - Epoch(train) [58][60/63] lr: 1.1524e-03 eta: 14:10:44 time: 0.5693 data_time: 0.0094 memory: 16395 loss: 3.7319 loss_prob: 2.3641 loss_thr: 0.8971 loss_db: 0.4707 2022/11/02 12:49:20 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:49:26 - mmengine - INFO - Epoch(train) [59][5/63] lr: 1.1725e-03 eta: 14:10:44 time: 0.7880 data_time: 0.2236 memory: 16395 loss: 3.9726 loss_prob: 2.5072 loss_thr: 0.9315 loss_db: 0.5339 2022/11/02 12:49:29 - mmengine - INFO - Epoch(train) [59][10/63] lr: 1.1725e-03 eta: 14:10:23 time: 0.8614 data_time: 0.2221 memory: 16395 loss: 4.1108 loss_prob: 2.6028 loss_thr: 0.9361 loss_db: 0.5718 2022/11/02 12:49:31 - mmengine - INFO - Epoch(train) [59][15/63] lr: 1.1725e-03 eta: 14:10:23 time: 0.5913 data_time: 0.0057 memory: 16395 loss: 4.1973 loss_prob: 2.6507 loss_thr: 0.9120 loss_db: 0.6346 2022/11/02 12:49:34 - mmengine - INFO - Epoch(train) [59][20/63] lr: 1.1725e-03 eta: 14:09:43 time: 0.5418 data_time: 0.0054 memory: 16395 loss: 4.1233 loss_prob: 2.6038 loss_thr: 0.9097 loss_db: 0.6098 2022/11/02 12:49:37 - mmengine - INFO - Epoch(train) [59][25/63] lr: 1.1725e-03 eta: 14:09:43 time: 0.5660 data_time: 0.0114 memory: 16395 loss: 4.1555 loss_prob: 2.6169 loss_thr: 0.9401 loss_db: 0.5985 2022/11/02 12:49:40 - mmengine - INFO - Epoch(train) [59][30/63] lr: 1.1725e-03 eta: 14:09:12 time: 0.5868 data_time: 0.0313 memory: 16395 loss: 4.0915 loss_prob: 2.5769 loss_thr: 0.9135 loss_db: 0.6011 2022/11/02 12:49:44 - mmengine - INFO - Epoch(train) [59][35/63] lr: 1.1725e-03 eta: 14:09:12 time: 0.6609 data_time: 0.0264 memory: 16395 loss: 4.0925 loss_prob: 2.6306 loss_thr: 0.8971 loss_db: 0.5648 2022/11/02 12:49:47 - mmengine - INFO - Epoch(train) [59][40/63] lr: 1.1725e-03 eta: 14:08:59 time: 0.6818 data_time: 0.0066 memory: 16395 loss: 4.0597 loss_prob: 2.6141 loss_thr: 0.8942 loss_db: 0.5515 2022/11/02 12:49:50 - mmengine - INFO - Epoch(train) [59][45/63] lr: 1.1725e-03 eta: 14:08:59 time: 0.5955 data_time: 0.0050 memory: 16395 loss: 3.8761 loss_prob: 2.4701 loss_thr: 0.8714 loss_db: 0.5347 2022/11/02 12:49:53 - mmengine - INFO - Epoch(train) [59][50/63] lr: 1.1725e-03 eta: 14:08:30 time: 0.5911 data_time: 0.0181 memory: 16395 loss: 3.7547 loss_prob: 2.4098 loss_thr: 0.8667 loss_db: 0.4782 2022/11/02 12:49:56 - mmengine - INFO - Epoch(train) [59][55/63] lr: 1.1725e-03 eta: 14:08:30 time: 0.5825 data_time: 0.0221 memory: 16395 loss: 3.9331 loss_prob: 2.5041 loss_thr: 0.9261 loss_db: 0.5029 2022/11/02 12:49:59 - mmengine - INFO - Epoch(train) [59][60/63] lr: 1.1725e-03 eta: 14:08:15 time: 0.6686 data_time: 0.0098 memory: 16395 loss: 3.9461 loss_prob: 2.4954 loss_thr: 0.9394 loss_db: 0.5113 2022/11/02 12:50:01 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:50:08 - mmengine - INFO - Epoch(train) [60][5/63] lr: 1.1927e-03 eta: 14:08:15 time: 0.9717 data_time: 0.2472 memory: 16395 loss: 3.8724 loss_prob: 2.4747 loss_thr: 0.9022 loss_db: 0.4955 2022/11/02 12:50:12 - mmengine - INFO - Epoch(train) [60][10/63] lr: 1.1927e-03 eta: 14:08:29 time: 1.0427 data_time: 0.2539 memory: 16395 loss: 3.7153 loss_prob: 2.3617 loss_thr: 0.8852 loss_db: 0.4684 2022/11/02 12:50:14 - mmengine - INFO - Epoch(train) [60][15/63] lr: 1.1927e-03 eta: 14:08:29 time: 0.6544 data_time: 0.0121 memory: 16395 loss: 3.7755 loss_prob: 2.3885 loss_thr: 0.9017 loss_db: 0.4853 2022/11/02 12:50:19 - mmengine - INFO - Epoch(train) [60][20/63] lr: 1.1927e-03 eta: 14:08:22 time: 0.7087 data_time: 0.0067 memory: 16395 loss: 3.7552 loss_prob: 2.3843 loss_thr: 0.8968 loss_db: 0.4742 2022/11/02 12:50:23 - mmengine - INFO - Epoch(train) [60][25/63] lr: 1.1927e-03 eta: 14:08:22 time: 0.8656 data_time: 0.0468 memory: 16395 loss: 3.7032 loss_prob: 2.3516 loss_thr: 0.8957 loss_db: 0.4559 2022/11/02 12:50:27 - mmengine - INFO - Epoch(train) [60][30/63] lr: 1.1927e-03 eta: 14:08:30 time: 0.7836 data_time: 0.0478 memory: 16395 loss: 3.6305 loss_prob: 2.3141 loss_thr: 0.8849 loss_db: 0.4315 2022/11/02 12:50:29 - mmengine - INFO - Epoch(train) [60][35/63] lr: 1.1927e-03 eta: 14:08:30 time: 0.6152 data_time: 0.0099 memory: 16395 loss: 3.5606 loss_prob: 2.2738 loss_thr: 0.8621 loss_db: 0.4246 2022/11/02 12:50:32 - mmengine - INFO - Epoch(train) [60][40/63] lr: 1.1927e-03 eta: 14:07:53 time: 0.5544 data_time: 0.0079 memory: 16395 loss: 3.6556 loss_prob: 2.3201 loss_thr: 0.8696 loss_db: 0.4660 2022/11/02 12:50:35 - mmengine - INFO - Epoch(train) [60][45/63] lr: 1.1927e-03 eta: 14:07:53 time: 0.6289 data_time: 0.0082 memory: 16395 loss: 4.0189 loss_prob: 2.5765 loss_thr: 0.8939 loss_db: 0.5485 2022/11/02 12:50:38 - mmengine - INFO - Epoch(train) [60][50/63] lr: 1.1927e-03 eta: 14:07:29 time: 0.6205 data_time: 0.0193 memory: 16395 loss: 4.0668 loss_prob: 2.6131 loss_thr: 0.8936 loss_db: 0.5600 2022/11/02 12:50:41 - mmengine - INFO - Epoch(train) [60][55/63] lr: 1.1927e-03 eta: 14:07:29 time: 0.5496 data_time: 0.0241 memory: 16395 loss: 3.8707 loss_prob: 2.4710 loss_thr: 0.8938 loss_db: 0.5059 2022/11/02 12:50:44 - mmengine - INFO - Epoch(train) [60][60/63] lr: 1.1927e-03 eta: 14:06:54 time: 0.5596 data_time: 0.0197 memory: 16395 loss: 3.7198 loss_prob: 2.3841 loss_thr: 0.8790 loss_db: 0.4566 2022/11/02 12:50:45 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:50:45 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/11/02 12:50:49 - mmengine - INFO - Epoch(val) [60][5/500] eta: 14:06:54 time: 0.0513 data_time: 0.0054 memory: 16395 2022/11/02 12:50:49 - mmengine - INFO - Epoch(val) [60][10/500] eta: 0:00:27 time: 0.0554 data_time: 0.0051 memory: 1013 2022/11/02 12:50:49 - mmengine - INFO - Epoch(val) [60][15/500] eta: 0:00:27 time: 0.0483 data_time: 0.0022 memory: 1013 2022/11/02 12:50:50 - mmengine - INFO - Epoch(val) [60][20/500] eta: 0:00:21 time: 0.0452 data_time: 0.0023 memory: 1013 2022/11/02 12:50:50 - mmengine - INFO - Epoch(val) [60][25/500] eta: 0:00:21 time: 0.0446 data_time: 0.0024 memory: 1013 2022/11/02 12:50:50 - mmengine - INFO - Epoch(val) [60][30/500] eta: 0:00:21 time: 0.0458 data_time: 0.0024 memory: 1013 2022/11/02 12:50:50 - mmengine - INFO - Epoch(val) [60][35/500] eta: 0:00:21 time: 0.0472 data_time: 0.0025 memory: 1013 2022/11/02 12:50:51 - mmengine - INFO - Epoch(val) [60][40/500] eta: 0:00:21 time: 0.0475 data_time: 0.0024 memory: 1013 2022/11/02 12:50:51 - mmengine - INFO - Epoch(val) [60][45/500] eta: 0:00:21 time: 0.0459 data_time: 0.0023 memory: 1013 2022/11/02 12:50:51 - mmengine - INFO - Epoch(val) [60][50/500] eta: 0:00:20 time: 0.0456 data_time: 0.0024 memory: 1013 2022/11/02 12:50:51 - mmengine - INFO - Epoch(val) [60][55/500] eta: 0:00:20 time: 0.0466 data_time: 0.0024 memory: 1013 2022/11/02 12:50:52 - mmengine - INFO - Epoch(val) [60][60/500] eta: 0:00:19 time: 0.0444 data_time: 0.0023 memory: 1013 2022/11/02 12:50:52 - mmengine - INFO - Epoch(val) [60][65/500] eta: 0:00:19 time: 0.0458 data_time: 0.0024 memory: 1013 2022/11/02 12:50:52 - mmengine - INFO - Epoch(val) [60][70/500] eta: 0:00:21 time: 0.0508 data_time: 0.0025 memory: 1013 2022/11/02 12:50:52 - mmengine - INFO - Epoch(val) [60][75/500] eta: 0:00:21 time: 0.0505 data_time: 0.0026 memory: 1013 2022/11/02 12:50:53 - mmengine - INFO - Epoch(val) [60][80/500] eta: 0:00:19 time: 0.0459 data_time: 0.0025 memory: 1013 2022/11/02 12:50:53 - mmengine - INFO - Epoch(val) [60][85/500] eta: 0:00:19 time: 0.0435 data_time: 0.0023 memory: 1013 2022/11/02 12:50:53 - mmengine - INFO - Epoch(val) [60][90/500] eta: 0:00:20 time: 0.0494 data_time: 0.0022 memory: 1013 2022/11/02 12:50:53 - mmengine - INFO - Epoch(val) [60][95/500] eta: 0:00:20 time: 0.0512 data_time: 0.0022 memory: 1013 2022/11/02 12:50:53 - mmengine - INFO - Epoch(val) [60][100/500] eta: 0:00:17 time: 0.0446 data_time: 0.0022 memory: 1013 2022/11/02 12:50:54 - mmengine - INFO - Epoch(val) [60][105/500] eta: 0:00:17 time: 0.0429 data_time: 0.0024 memory: 1013 2022/11/02 12:50:54 - mmengine - INFO - Epoch(val) [60][110/500] eta: 0:00:16 time: 0.0431 data_time: 0.0024 memory: 1013 2022/11/02 12:50:54 - mmengine - INFO - Epoch(val) [60][115/500] eta: 0:00:16 time: 0.0448 data_time: 0.0023 memory: 1013 2022/11/02 12:50:54 - mmengine - INFO - Epoch(val) [60][120/500] eta: 0:00:17 time: 0.0454 data_time: 0.0025 memory: 1013 2022/11/02 12:50:55 - mmengine - INFO - Epoch(val) [60][125/500] eta: 0:00:17 time: 0.0456 data_time: 0.0026 memory: 1013 2022/11/02 12:50:55 - mmengine - INFO - Epoch(val) [60][130/500] eta: 0:00:16 time: 0.0440 data_time: 0.0024 memory: 1013 2022/11/02 12:50:55 - mmengine - INFO - Epoch(val) [60][135/500] eta: 0:00:16 time: 0.0420 data_time: 0.0025 memory: 1013 2022/11/02 12:50:55 - mmengine - INFO - Epoch(val) [60][140/500] eta: 0:00:16 time: 0.0447 data_time: 0.0026 memory: 1013 2022/11/02 12:50:55 - mmengine - INFO - Epoch(val) [60][145/500] eta: 0:00:16 time: 0.0465 data_time: 0.0024 memory: 1013 2022/11/02 12:50:56 - mmengine - INFO - Epoch(val) [60][150/500] eta: 0:00:16 time: 0.0472 data_time: 0.0026 memory: 1013 2022/11/02 12:50:56 - mmengine - INFO - Epoch(val) [60][155/500] eta: 0:00:16 time: 0.0481 data_time: 0.0026 memory: 1013 2022/11/02 12:50:56 - mmengine - INFO - Epoch(val) [60][160/500] eta: 0:00:16 time: 0.0483 data_time: 0.0024 memory: 1013 2022/11/02 12:50:56 - mmengine - INFO - Epoch(val) [60][165/500] eta: 0:00:16 time: 0.0484 data_time: 0.0025 memory: 1013 2022/11/02 12:50:57 - mmengine - INFO - Epoch(val) [60][170/500] eta: 0:00:16 time: 0.0486 data_time: 0.0024 memory: 1013 2022/11/02 12:50:57 - mmengine - INFO - Epoch(val) [60][175/500] eta: 0:00:16 time: 0.0455 data_time: 0.0024 memory: 1013 2022/11/02 12:50:57 - mmengine - INFO - Epoch(val) [60][180/500] eta: 0:00:13 time: 0.0434 data_time: 0.0023 memory: 1013 2022/11/02 12:50:57 - mmengine - INFO - Epoch(val) [60][185/500] eta: 0:00:13 time: 0.0468 data_time: 0.0024 memory: 1013 2022/11/02 12:50:58 - mmengine - INFO - Epoch(val) [60][190/500] eta: 0:00:15 time: 0.0490 data_time: 0.0025 memory: 1013 2022/11/02 12:50:58 - mmengine - INFO - Epoch(val) [60][195/500] eta: 0:00:15 time: 0.0484 data_time: 0.0024 memory: 1013 2022/11/02 12:50:58 - mmengine - INFO - Epoch(val) [60][200/500] eta: 0:00:15 time: 0.0527 data_time: 0.0023 memory: 1013 2022/11/02 12:50:58 - mmengine - INFO - Epoch(val) [60][205/500] eta: 0:00:15 time: 0.0492 data_time: 0.0024 memory: 1013 2022/11/02 12:50:59 - mmengine - INFO - Epoch(val) [60][210/500] eta: 0:00:12 time: 0.0423 data_time: 0.0025 memory: 1013 2022/11/02 12:50:59 - mmengine - INFO - Epoch(val) [60][215/500] eta: 0:00:12 time: 0.0453 data_time: 0.0025 memory: 1013 2022/11/02 12:50:59 - mmengine - INFO - Epoch(val) [60][220/500] eta: 0:00:12 time: 0.0445 data_time: 0.0024 memory: 1013 2022/11/02 12:50:59 - mmengine - INFO - Epoch(val) [60][225/500] eta: 0:00:12 time: 0.0477 data_time: 0.0024 memory: 1013 2022/11/02 12:50:59 - mmengine - INFO - Epoch(val) [60][230/500] eta: 0:00:12 time: 0.0479 data_time: 0.0026 memory: 1013 2022/11/02 12:51:00 - mmengine - INFO - Epoch(val) [60][235/500] eta: 0:00:12 time: 0.0430 data_time: 0.0025 memory: 1013 2022/11/02 12:51:00 - mmengine - INFO - Epoch(val) [60][240/500] eta: 0:00:12 time: 0.0467 data_time: 0.0024 memory: 1013 2022/11/02 12:51:00 - mmengine - INFO - Epoch(val) [60][245/500] eta: 0:00:12 time: 0.0471 data_time: 0.0024 memory: 1013 2022/11/02 12:51:00 - mmengine - INFO - Epoch(val) [60][250/500] eta: 0:00:11 time: 0.0471 data_time: 0.0024 memory: 1013 2022/11/02 12:51:01 - mmengine - INFO - Epoch(val) [60][255/500] eta: 0:00:11 time: 0.0479 data_time: 0.0024 memory: 1013 2022/11/02 12:51:01 - mmengine - INFO - Epoch(val) [60][260/500] eta: 0:00:11 time: 0.0489 data_time: 0.0024 memory: 1013 2022/11/02 12:51:01 - mmengine - INFO - Epoch(val) [60][265/500] eta: 0:00:11 time: 0.0491 data_time: 0.0024 memory: 1013 2022/11/02 12:51:01 - mmengine - INFO - Epoch(val) [60][270/500] eta: 0:00:11 time: 0.0492 data_time: 0.0026 memory: 1013 2022/11/02 12:51:02 - mmengine - INFO - Epoch(val) [60][275/500] eta: 0:00:11 time: 0.0471 data_time: 0.0026 memory: 1013 2022/11/02 12:51:02 - mmengine - INFO - Epoch(val) [60][280/500] eta: 0:00:09 time: 0.0436 data_time: 0.0023 memory: 1013 2022/11/02 12:51:02 - mmengine - INFO - Epoch(val) [60][285/500] eta: 0:00:09 time: 0.0431 data_time: 0.0022 memory: 1013 2022/11/02 12:51:02 - mmengine - INFO - Epoch(val) [60][290/500] eta: 0:00:09 time: 0.0454 data_time: 0.0024 memory: 1013 2022/11/02 12:51:03 - mmengine - INFO - Epoch(val) [60][295/500] eta: 0:00:09 time: 0.0486 data_time: 0.0026 memory: 1013 2022/11/02 12:51:03 - mmengine - INFO - Epoch(val) [60][300/500] eta: 0:00:09 time: 0.0469 data_time: 0.0025 memory: 1013 2022/11/02 12:51:03 - mmengine - INFO - Epoch(val) [60][305/500] eta: 0:00:09 time: 0.0436 data_time: 0.0023 memory: 1013 2022/11/02 12:51:03 - mmengine - INFO - Epoch(val) [60][310/500] eta: 0:00:08 time: 0.0434 data_time: 0.0022 memory: 1013 2022/11/02 12:51:03 - mmengine - INFO - Epoch(val) [60][315/500] eta: 0:00:08 time: 0.0488 data_time: 0.0024 memory: 1013 2022/11/02 12:51:04 - mmengine - INFO - Epoch(val) [60][320/500] eta: 0:00:09 time: 0.0506 data_time: 0.0021 memory: 1013 2022/11/02 12:51:04 - mmengine - INFO - Epoch(val) [60][325/500] eta: 0:00:09 time: 0.0555 data_time: 0.0021 memory: 1013 2022/11/02 12:51:04 - mmengine - INFO - Epoch(val) [60][330/500] eta: 0:00:09 time: 0.0544 data_time: 0.0024 memory: 1013 2022/11/02 12:51:04 - mmengine - INFO - Epoch(val) [60][335/500] eta: 0:00:09 time: 0.0450 data_time: 0.0025 memory: 1013 2022/11/02 12:51:05 - mmengine - INFO - Epoch(val) [60][340/500] eta: 0:00:08 time: 0.0511 data_time: 0.0024 memory: 1013 2022/11/02 12:51:05 - mmengine - INFO - Epoch(val) [60][345/500] eta: 0:00:08 time: 0.0545 data_time: 0.0026 memory: 1013 2022/11/02 12:51:05 - mmengine - INFO - Epoch(val) [60][350/500] eta: 0:00:07 time: 0.0505 data_time: 0.0026 memory: 1013 2022/11/02 12:51:05 - mmengine - INFO - Epoch(val) [60][355/500] eta: 0:00:07 time: 0.0469 data_time: 0.0023 memory: 1013 2022/11/02 12:51:06 - mmengine - INFO - Epoch(val) [60][360/500] eta: 0:00:06 time: 0.0458 data_time: 0.0023 memory: 1013 2022/11/02 12:51:06 - mmengine - INFO - Epoch(val) [60][365/500] eta: 0:00:06 time: 0.0466 data_time: 0.0023 memory: 1013 2022/11/02 12:51:06 - mmengine - INFO - Epoch(val) [60][370/500] eta: 0:00:05 time: 0.0432 data_time: 0.0022 memory: 1013 2022/11/02 12:51:06 - mmengine - INFO - Epoch(val) [60][375/500] eta: 0:00:05 time: 0.0425 data_time: 0.0022 memory: 1013 2022/11/02 12:51:07 - mmengine - INFO - Epoch(val) [60][380/500] eta: 0:00:05 time: 0.0471 data_time: 0.0023 memory: 1013 2022/11/02 12:51:07 - mmengine - INFO - Epoch(val) [60][385/500] eta: 0:00:05 time: 0.0464 data_time: 0.0023 memory: 1013 2022/11/02 12:51:07 - mmengine - INFO - Epoch(val) [60][390/500] eta: 0:00:05 time: 0.0475 data_time: 0.0041 memory: 1013 2022/11/02 12:51:07 - mmengine - INFO - Epoch(val) [60][395/500] eta: 0:00:05 time: 0.0469 data_time: 0.0041 memory: 1013 2022/11/02 12:51:08 - mmengine - INFO - Epoch(val) [60][400/500] eta: 0:00:04 time: 0.0473 data_time: 0.0030 memory: 1013 2022/11/02 12:51:08 - mmengine - INFO - Epoch(val) [60][405/500] eta: 0:00:04 time: 0.0493 data_time: 0.0030 memory: 1013 2022/11/02 12:51:08 - mmengine - INFO - Epoch(val) [60][410/500] eta: 0:00:04 time: 0.0467 data_time: 0.0023 memory: 1013 2022/11/02 12:51:08 - mmengine - INFO - Epoch(val) [60][415/500] eta: 0:00:04 time: 0.0490 data_time: 0.0023 memory: 1013 2022/11/02 12:51:09 - mmengine - INFO - Epoch(val) [60][420/500] eta: 0:00:03 time: 0.0456 data_time: 0.0022 memory: 1013 2022/11/02 12:51:09 - mmengine - INFO - Epoch(val) [60][425/500] eta: 0:00:03 time: 0.0469 data_time: 0.0024 memory: 1013 2022/11/02 12:51:09 - mmengine - INFO - Epoch(val) [60][430/500] eta: 0:00:03 time: 0.0471 data_time: 0.0024 memory: 1013 2022/11/02 12:51:09 - mmengine - INFO - Epoch(val) [60][435/500] eta: 0:00:03 time: 0.0433 data_time: 0.0023 memory: 1013 2022/11/02 12:51:09 - mmengine - INFO - Epoch(val) [60][440/500] eta: 0:00:02 time: 0.0430 data_time: 0.0022 memory: 1013 2022/11/02 12:51:10 - mmengine - INFO - Epoch(val) [60][445/500] eta: 0:00:02 time: 0.0450 data_time: 0.0023 memory: 1013 2022/11/02 12:51:10 - mmengine - INFO - Epoch(val) [60][450/500] eta: 0:00:02 time: 0.0458 data_time: 0.0025 memory: 1013 2022/11/02 12:51:10 - mmengine - INFO - Epoch(val) [60][455/500] eta: 0:00:02 time: 0.0455 data_time: 0.0024 memory: 1013 2022/11/02 12:51:10 - mmengine - INFO - Epoch(val) [60][460/500] eta: 0:00:01 time: 0.0442 data_time: 0.0024 memory: 1013 2022/11/02 12:51:11 - mmengine - INFO - Epoch(val) [60][465/500] eta: 0:00:01 time: 0.0459 data_time: 0.0044 memory: 1013 2022/11/02 12:51:11 - mmengine - INFO - Epoch(val) [60][470/500] eta: 0:00:01 time: 0.0490 data_time: 0.0045 memory: 1013 2022/11/02 12:51:11 - mmengine - INFO - Epoch(val) [60][475/500] eta: 0:00:01 time: 0.0437 data_time: 0.0023 memory: 1013 2022/11/02 12:51:11 - mmengine - INFO - Epoch(val) [60][480/500] eta: 0:00:00 time: 0.0407 data_time: 0.0022 memory: 1013 2022/11/02 12:51:11 - mmengine - INFO - Epoch(val) [60][485/500] eta: 0:00:00 time: 0.0420 data_time: 0.0023 memory: 1013 2022/11/02 12:51:12 - mmengine - INFO - Epoch(val) [60][490/500] eta: 0:00:00 time: 0.0484 data_time: 0.0025 memory: 1013 2022/11/02 12:51:12 - mmengine - INFO - Epoch(val) [60][495/500] eta: 0:00:00 time: 0.0537 data_time: 0.0026 memory: 1013 2022/11/02 12:51:12 - mmengine - INFO - Epoch(val) [60][500/500] eta: 0:00:00 time: 0.0483 data_time: 0.0027 memory: 1013 2022/11/02 12:51:12 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 12:51:12 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.4487, precision: 0.2017, hmean: 0.2783 2022/11/02 12:51:12 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.4372, precision: 0.3269, hmean: 0.3740 2022/11/02 12:51:12 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.3746, precision: 0.4758, hmean: 0.4192 2022/11/02 12:51:12 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.2311, precision: 0.6366, hmean: 0.3391 2022/11/02 12:51:12 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0664, precision: 0.7302, hmean: 0.1218 2022/11/02 12:51:12 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0019, precision: 0.4444, hmean: 0.0038 2022/11/02 12:51:12 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 12:51:12 - mmengine - INFO - Epoch(val) [60][500/500] icdar/precision: 0.4758 icdar/recall: 0.3746 icdar/hmean: 0.4192 2022/11/02 12:51:17 - mmengine - INFO - Epoch(train) [61][5/63] lr: 1.2129e-03 eta: 0:00:00 time: 0.7920 data_time: 0.2132 memory: 16395 loss: 3.7419 loss_prob: 2.4137 loss_thr: 0.8805 loss_db: 0.4477 2022/11/02 12:51:20 - mmengine - INFO - Epoch(train) [61][10/63] lr: 1.2129e-03 eta: 14:06:20 time: 0.7896 data_time: 0.2168 memory: 16395 loss: 3.8371 loss_prob: 2.4609 loss_thr: 0.8872 loss_db: 0.4891 2022/11/02 12:51:23 - mmengine - INFO - Epoch(train) [61][15/63] lr: 1.2129e-03 eta: 14:06:20 time: 0.5727 data_time: 0.0083 memory: 16395 loss: 3.7237 loss_prob: 2.3765 loss_thr: 0.8714 loss_db: 0.4757 2022/11/02 12:51:26 - mmengine - INFO - Epoch(train) [61][20/63] lr: 1.2129e-03 eta: 14:05:43 time: 0.5471 data_time: 0.0052 memory: 16395 loss: 3.7243 loss_prob: 2.3774 loss_thr: 0.8794 loss_db: 0.4675 2022/11/02 12:51:29 - mmengine - INFO - Epoch(train) [61][25/63] lr: 1.2129e-03 eta: 14:05:43 time: 0.5473 data_time: 0.0498 memory: 16395 loss: 3.8046 loss_prob: 2.4164 loss_thr: 0.8913 loss_db: 0.4968 2022/11/02 12:51:31 - mmengine - INFO - Epoch(train) [61][30/63] lr: 1.2129e-03 eta: 14:05:06 time: 0.5515 data_time: 0.0490 memory: 16395 loss: 3.7410 loss_prob: 2.3747 loss_thr: 0.8890 loss_db: 0.4773 2022/11/02 12:51:34 - mmengine - INFO - Epoch(train) [61][35/63] lr: 1.2129e-03 eta: 14:05:06 time: 0.5078 data_time: 0.0053 memory: 16395 loss: 3.5857 loss_prob: 2.2807 loss_thr: 0.8796 loss_db: 0.4254 2022/11/02 12:51:36 - mmengine - INFO - Epoch(train) [61][40/63] lr: 1.2129e-03 eta: 14:04:24 time: 0.5178 data_time: 0.0053 memory: 16395 loss: 3.5718 loss_prob: 2.2769 loss_thr: 0.8677 loss_db: 0.4273 2022/11/02 12:51:39 - mmengine - INFO - Epoch(train) [61][45/63] lr: 1.2129e-03 eta: 14:04:24 time: 0.5413 data_time: 0.0042 memory: 16395 loss: 3.6037 loss_prob: 2.2798 loss_thr: 0.8838 loss_db: 0.4401 2022/11/02 12:51:42 - mmengine - INFO - Epoch(train) [61][50/63] lr: 1.2129e-03 eta: 14:03:52 time: 0.5742 data_time: 0.0190 memory: 16395 loss: 3.7059 loss_prob: 2.3581 loss_thr: 0.8783 loss_db: 0.4695 2022/11/02 12:51:45 - mmengine - INFO - Epoch(train) [61][55/63] lr: 1.2129e-03 eta: 14:03:52 time: 0.5650 data_time: 0.0207 memory: 16395 loss: 3.8110 loss_prob: 2.4289 loss_thr: 0.8811 loss_db: 0.5009 2022/11/02 12:51:47 - mmengine - INFO - Epoch(train) [61][60/63] lr: 1.2129e-03 eta: 14:03:13 time: 0.5308 data_time: 0.0062 memory: 16395 loss: 3.8565 loss_prob: 2.4518 loss_thr: 0.8939 loss_db: 0.5107 2022/11/02 12:51:49 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:51:54 - mmengine - INFO - Epoch(train) [62][5/63] lr: 1.2331e-03 eta: 14:03:13 time: 0.7825 data_time: 0.2476 memory: 16395 loss: 3.7127 loss_prob: 2.3828 loss_thr: 0.8708 loss_db: 0.4591 2022/11/02 12:51:57 - mmengine - INFO - Epoch(train) [62][10/63] lr: 1.2331e-03 eta: 14:02:47 time: 0.8298 data_time: 0.2547 memory: 16395 loss: 3.9350 loss_prob: 2.5126 loss_thr: 0.8855 loss_db: 0.5369 2022/11/02 12:51:59 - mmengine - INFO - Epoch(train) [62][15/63] lr: 1.2331e-03 eta: 14:02:47 time: 0.5356 data_time: 0.0122 memory: 16395 loss: 4.0014 loss_prob: 2.5412 loss_thr: 0.8995 loss_db: 0.5606 2022/11/02 12:52:02 - mmengine - INFO - Epoch(train) [62][20/63] lr: 1.2331e-03 eta: 14:02:07 time: 0.5245 data_time: 0.0051 memory: 16395 loss: 4.2052 loss_prob: 2.6361 loss_thr: 0.9446 loss_db: 0.6246 2022/11/02 12:52:05 - mmengine - INFO - Epoch(train) [62][25/63] lr: 1.2331e-03 eta: 14:02:07 time: 0.5346 data_time: 0.0160 memory: 16395 loss: 4.2135 loss_prob: 2.6505 loss_thr: 0.9494 loss_db: 0.6136 2022/11/02 12:52:08 - mmengine - INFO - Epoch(train) [62][30/63] lr: 1.2331e-03 eta: 14:01:28 time: 0.5306 data_time: 0.0285 memory: 16395 loss: 3.9447 loss_prob: 2.5087 loss_thr: 0.9203 loss_db: 0.5157 2022/11/02 12:52:10 - mmengine - INFO - Epoch(train) [62][35/63] lr: 1.2331e-03 eta: 14:01:28 time: 0.5515 data_time: 0.0223 memory: 16395 loss: 3.8669 loss_prob: 2.4382 loss_thr: 0.9120 loss_db: 0.5168 2022/11/02 12:52:14 - mmengine - INFO - Epoch(train) [62][40/63] lr: 1.2331e-03 eta: 14:01:17 time: 0.6877 data_time: 0.0099 memory: 16395 loss: 4.0463 loss_prob: 2.5827 loss_thr: 0.9243 loss_db: 0.5393 2022/11/02 12:52:17 - mmengine - INFO - Epoch(train) [62][45/63] lr: 1.2331e-03 eta: 14:01:17 time: 0.6826 data_time: 0.0050 memory: 16395 loss: 4.0498 loss_prob: 2.5992 loss_thr: 0.9092 loss_db: 0.5414 2022/11/02 12:52:20 - mmengine - INFO - Epoch(train) [62][50/63] lr: 1.2331e-03 eta: 14:00:49 time: 0.5892 data_time: 0.0179 memory: 16395 loss: 3.8722 loss_prob: 2.4692 loss_thr: 0.8871 loss_db: 0.5160 2022/11/02 12:52:23 - mmengine - INFO - Epoch(train) [62][55/63] lr: 1.2331e-03 eta: 14:00:49 time: 0.6093 data_time: 0.0239 memory: 16395 loss: 3.8461 loss_prob: 2.4552 loss_thr: 0.8895 loss_db: 0.5013 2022/11/02 12:52:26 - mmengine - INFO - Epoch(train) [62][60/63] lr: 1.2331e-03 eta: 14:00:24 time: 0.6031 data_time: 0.0140 memory: 16395 loss: 3.9169 loss_prob: 2.4896 loss_thr: 0.9059 loss_db: 0.5214 2022/11/02 12:52:29 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:52:35 - mmengine - INFO - Epoch(train) [63][5/63] lr: 1.2533e-03 eta: 14:00:24 time: 1.0009 data_time: 0.2540 memory: 16395 loss: 3.7864 loss_prob: 2.4243 loss_thr: 0.8733 loss_db: 0.4888 2022/11/02 12:52:38 - mmengine - INFO - Epoch(train) [63][10/63] lr: 1.2533e-03 eta: 14:00:22 time: 0.9545 data_time: 0.2545 memory: 16395 loss: 3.4769 loss_prob: 2.2365 loss_thr: 0.8328 loss_db: 0.4077 2022/11/02 12:52:41 - mmengine - INFO - Epoch(train) [63][15/63] lr: 1.2533e-03 eta: 14:00:22 time: 0.6055 data_time: 0.0066 memory: 16395 loss: 3.5439 loss_prob: 2.2459 loss_thr: 0.8741 loss_db: 0.4239 2022/11/02 12:52:44 - mmengine - INFO - Epoch(train) [63][20/63] lr: 1.2533e-03 eta: 13:59:48 time: 0.5576 data_time: 0.0051 memory: 16395 loss: 3.6750 loss_prob: 2.3137 loss_thr: 0.9100 loss_db: 0.4513 2022/11/02 12:52:47 - mmengine - INFO - Epoch(train) [63][25/63] lr: 1.2533e-03 eta: 13:59:48 time: 0.5964 data_time: 0.0079 memory: 16395 loss: 3.7060 loss_prob: 2.3442 loss_thr: 0.9041 loss_db: 0.4577 2022/11/02 12:52:50 - mmengine - INFO - Epoch(train) [63][30/63] lr: 1.2533e-03 eta: 13:59:36 time: 0.6719 data_time: 0.0413 memory: 16395 loss: 3.8938 loss_prob: 2.4633 loss_thr: 0.9061 loss_db: 0.5244 2022/11/02 12:52:54 - mmengine - INFO - Epoch(train) [63][35/63] lr: 1.2533e-03 eta: 13:59:36 time: 0.6662 data_time: 0.0377 memory: 16395 loss: 3.8448 loss_prob: 2.4315 loss_thr: 0.9141 loss_db: 0.4991 2022/11/02 12:52:57 - mmengine - INFO - Epoch(train) [63][40/63] lr: 1.2533e-03 eta: 13:59:14 time: 0.6196 data_time: 0.0043 memory: 16395 loss: 3.5311 loss_prob: 2.2453 loss_thr: 0.8813 loss_db: 0.4045 2022/11/02 12:52:59 - mmengine - INFO - Epoch(train) [63][45/63] lr: 1.2533e-03 eta: 13:59:14 time: 0.5491 data_time: 0.0041 memory: 16395 loss: 3.4575 loss_prob: 2.2019 loss_thr: 0.8564 loss_db: 0.3992 2022/11/02 12:53:03 - mmengine - INFO - Epoch(train) [63][50/63] lr: 1.2533e-03 eta: 13:58:50 time: 0.6108 data_time: 0.0226 memory: 16395 loss: 3.5356 loss_prob: 2.2450 loss_thr: 0.8753 loss_db: 0.4153 2022/11/02 12:53:06 - mmengine - INFO - Epoch(train) [63][55/63] lr: 1.2533e-03 eta: 13:58:50 time: 0.7004 data_time: 0.0234 memory: 16395 loss: 3.6798 loss_prob: 2.3513 loss_thr: 0.8802 loss_db: 0.4483 2022/11/02 12:53:09 - mmengine - INFO - Epoch(train) [63][60/63] lr: 1.2533e-03 eta: 13:58:36 time: 0.6632 data_time: 0.0055 memory: 16395 loss: 4.0320 loss_prob: 2.5685 loss_thr: 0.9009 loss_db: 0.5627 2022/11/02 12:53:11 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:53:16 - mmengine - INFO - Epoch(train) [64][5/63] lr: 1.2735e-03 eta: 13:58:36 time: 0.7337 data_time: 0.2318 memory: 16395 loss: 3.7378 loss_prob: 2.3754 loss_thr: 0.8852 loss_db: 0.4772 2022/11/02 12:53:19 - mmengine - INFO - Epoch(train) [64][10/63] lr: 1.2735e-03 eta: 13:58:06 time: 0.7986 data_time: 0.2400 memory: 16395 loss: 3.6736 loss_prob: 2.3396 loss_thr: 0.8760 loss_db: 0.4579 2022/11/02 12:53:21 - mmengine - INFO - Epoch(train) [64][15/63] lr: 1.2735e-03 eta: 13:58:06 time: 0.5527 data_time: 0.0153 memory: 16395 loss: 3.7215 loss_prob: 2.3673 loss_thr: 0.8844 loss_db: 0.4699 2022/11/02 12:53:24 - mmengine - INFO - Epoch(train) [64][20/63] lr: 1.2735e-03 eta: 13:57:30 time: 0.5428 data_time: 0.0062 memory: 16395 loss: 3.6647 loss_prob: 2.3656 loss_thr: 0.8488 loss_db: 0.4504 2022/11/02 12:53:27 - mmengine - INFO - Epoch(train) [64][25/63] lr: 1.2735e-03 eta: 13:57:30 time: 0.5453 data_time: 0.0205 memory: 16395 loss: 3.7195 loss_prob: 2.3844 loss_thr: 0.8574 loss_db: 0.4776 2022/11/02 12:53:29 - mmengine - INFO - Epoch(train) [64][30/63] lr: 1.2735e-03 eta: 13:56:52 time: 0.5288 data_time: 0.0292 memory: 16395 loss: 3.7943 loss_prob: 2.4054 loss_thr: 0.9001 loss_db: 0.4889 2022/11/02 12:53:30 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:53:32 - mmengine - INFO - Epoch(train) [64][35/63] lr: 1.2735e-03 eta: 13:56:52 time: 0.5467 data_time: 0.0164 memory: 16395 loss: 3.9670 loss_prob: 2.5151 loss_thr: 0.9074 loss_db: 0.5445 2022/11/02 12:53:35 - mmengine - INFO - Epoch(train) [64][40/63] lr: 1.2735e-03 eta: 13:56:20 time: 0.5614 data_time: 0.0080 memory: 16395 loss: 3.9417 loss_prob: 2.5090 loss_thr: 0.8929 loss_db: 0.5398 2022/11/02 12:53:38 - mmengine - INFO - Epoch(train) [64][45/63] lr: 1.2735e-03 eta: 13:56:20 time: 0.5317 data_time: 0.0051 memory: 16395 loss: 3.4987 loss_prob: 2.2572 loss_thr: 0.8402 loss_db: 0.4013 2022/11/02 12:53:40 - mmengine - INFO - Epoch(train) [64][50/63] lr: 1.2735e-03 eta: 13:55:39 time: 0.5105 data_time: 0.0173 memory: 16395 loss: 3.2305 loss_prob: 2.0892 loss_thr: 0.8018 loss_db: 0.3395 2022/11/02 12:53:44 - mmengine - INFO - Epoch(train) [64][55/63] lr: 1.2735e-03 eta: 13:55:39 time: 0.6324 data_time: 0.0222 memory: 16395 loss: 3.2650 loss_prob: 2.0957 loss_thr: 0.8164 loss_db: 0.3529 2022/11/02 12:53:47 - mmengine - INFO - Epoch(train) [64][60/63] lr: 1.2735e-03 eta: 13:55:23 time: 0.6487 data_time: 0.0109 memory: 16395 loss: 3.3862 loss_prob: 2.1560 loss_thr: 0.8423 loss_db: 0.3879 2022/11/02 12:53:48 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:53:52 - mmengine - INFO - Epoch(train) [65][5/63] lr: 1.2936e-03 eta: 13:55:23 time: 0.6747 data_time: 0.1914 memory: 16395 loss: 3.6401 loss_prob: 2.3338 loss_thr: 0.8687 loss_db: 0.4375 2022/11/02 12:53:55 - mmengine - INFO - Epoch(train) [65][10/63] lr: 1.2936e-03 eta: 13:54:38 time: 0.7035 data_time: 0.1958 memory: 16395 loss: 3.3773 loss_prob: 2.1513 loss_thr: 0.8459 loss_db: 0.3801 2022/11/02 12:53:58 - mmengine - INFO - Epoch(train) [65][15/63] lr: 1.2936e-03 eta: 13:54:38 time: 0.5190 data_time: 0.0149 memory: 16395 loss: 3.4454 loss_prob: 2.1917 loss_thr: 0.8489 loss_db: 0.4048 2022/11/02 12:54:00 - mmengine - INFO - Epoch(train) [65][20/63] lr: 1.2936e-03 eta: 13:54:03 time: 0.5440 data_time: 0.0104 memory: 16395 loss: 3.4662 loss_prob: 2.2053 loss_thr: 0.8530 loss_db: 0.4079 2022/11/02 12:54:03 - mmengine - INFO - Epoch(train) [65][25/63] lr: 1.2936e-03 eta: 13:54:03 time: 0.5603 data_time: 0.0153 memory: 16395 loss: 3.3194 loss_prob: 2.1290 loss_thr: 0.8240 loss_db: 0.3665 2022/11/02 12:54:06 - mmengine - INFO - Epoch(train) [65][30/63] lr: 1.2936e-03 eta: 13:53:30 time: 0.5542 data_time: 0.0236 memory: 16395 loss: 3.3842 loss_prob: 2.1797 loss_thr: 0.8114 loss_db: 0.3931 2022/11/02 12:54:09 - mmengine - INFO - Epoch(train) [65][35/63] lr: 1.2936e-03 eta: 13:53:30 time: 0.5446 data_time: 0.0257 memory: 16395 loss: 3.4895 loss_prob: 2.2607 loss_thr: 0.8162 loss_db: 0.4126 2022/11/02 12:54:11 - mmengine - INFO - Epoch(train) [65][40/63] lr: 1.2936e-03 eta: 13:52:50 time: 0.5085 data_time: 0.0174 memory: 16395 loss: 3.5580 loss_prob: 2.3100 loss_thr: 0.8233 loss_db: 0.4247 2022/11/02 12:54:14 - mmengine - INFO - Epoch(train) [65][45/63] lr: 1.2936e-03 eta: 13:52:50 time: 0.5056 data_time: 0.0050 memory: 16395 loss: 3.6902 loss_prob: 2.3610 loss_thr: 0.8629 loss_db: 0.4663 2022/11/02 12:54:17 - mmengine - INFO - Epoch(train) [65][50/63] lr: 1.2936e-03 eta: 13:52:22 time: 0.5816 data_time: 0.0209 memory: 16395 loss: 3.7362 loss_prob: 2.3827 loss_thr: 0.8807 loss_db: 0.4728 2022/11/02 12:54:20 - mmengine - INFO - Epoch(train) [65][55/63] lr: 1.2936e-03 eta: 13:52:22 time: 0.5967 data_time: 0.0203 memory: 16395 loss: 3.7182 loss_prob: 2.3737 loss_thr: 0.8817 loss_db: 0.4629 2022/11/02 12:54:22 - mmengine - INFO - Epoch(train) [65][60/63] lr: 1.2936e-03 eta: 13:51:51 time: 0.5588 data_time: 0.0114 memory: 16395 loss: 3.7217 loss_prob: 2.3685 loss_thr: 0.8968 loss_db: 0.4565 2022/11/02 12:54:24 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:54:29 - mmengine - INFO - Epoch(train) [66][5/63] lr: 1.3138e-03 eta: 13:51:51 time: 0.7631 data_time: 0.2287 memory: 16395 loss: 3.3903 loss_prob: 2.1707 loss_thr: 0.8325 loss_db: 0.3872 2022/11/02 12:54:32 - mmengine - INFO - Epoch(train) [66][10/63] lr: 1.3138e-03 eta: 13:51:17 time: 0.7648 data_time: 0.2230 memory: 16395 loss: 3.3585 loss_prob: 2.1451 loss_thr: 0.8264 loss_db: 0.3871 2022/11/02 12:54:34 - mmengine - INFO - Epoch(train) [66][15/63] lr: 1.3138e-03 eta: 13:51:17 time: 0.5413 data_time: 0.0054 memory: 16395 loss: 3.6406 loss_prob: 2.3146 loss_thr: 0.8691 loss_db: 0.4569 2022/11/02 12:54:37 - mmengine - INFO - Epoch(train) [66][20/63] lr: 1.3138e-03 eta: 13:50:45 time: 0.5505 data_time: 0.0065 memory: 16395 loss: 3.6315 loss_prob: 2.3128 loss_thr: 0.8742 loss_db: 0.4444 2022/11/02 12:54:40 - mmengine - INFO - Epoch(train) [66][25/63] lr: 1.3138e-03 eta: 13:50:45 time: 0.5652 data_time: 0.0307 memory: 16395 loss: 3.6949 loss_prob: 2.3612 loss_thr: 0.8764 loss_db: 0.4573 2022/11/02 12:54:42 - mmengine - INFO - Epoch(train) [66][30/63] lr: 1.3138e-03 eta: 13:50:07 time: 0.5203 data_time: 0.0296 memory: 16395 loss: 3.5915 loss_prob: 2.2837 loss_thr: 0.8609 loss_db: 0.4469 2022/11/02 12:54:45 - mmengine - INFO - Epoch(train) [66][35/63] lr: 1.3138e-03 eta: 13:50:07 time: 0.5397 data_time: 0.0101 memory: 16395 loss: 3.6912 loss_prob: 2.3481 loss_thr: 0.8680 loss_db: 0.4752 2022/11/02 12:54:49 - mmengine - INFO - Epoch(train) [66][40/63] lr: 1.3138e-03 eta: 13:50:04 time: 0.7203 data_time: 0.0101 memory: 16395 loss: 3.9199 loss_prob: 2.4950 loss_thr: 0.9089 loss_db: 0.5161 2022/11/02 12:54:53 - mmengine - INFO - Epoch(train) [66][45/63] lr: 1.3138e-03 eta: 13:50:04 time: 0.7790 data_time: 0.0055 memory: 16395 loss: 3.7270 loss_prob: 2.3801 loss_thr: 0.8810 loss_db: 0.4659 2022/11/02 12:54:56 - mmengine - INFO - Epoch(train) [66][50/63] lr: 1.3138e-03 eta: 13:49:51 time: 0.6641 data_time: 0.0182 memory: 16395 loss: 3.8585 loss_prob: 2.4748 loss_thr: 0.8790 loss_db: 0.5047 2022/11/02 12:54:59 - mmengine - INFO - Epoch(train) [66][55/63] lr: 1.3138e-03 eta: 13:49:51 time: 0.5484 data_time: 0.0177 memory: 16395 loss: 3.8762 loss_prob: 2.4773 loss_thr: 0.8836 loss_db: 0.5153 2022/11/02 12:55:01 - mmengine - INFO - Epoch(train) [66][60/63] lr: 1.3138e-03 eta: 13:49:13 time: 0.5116 data_time: 0.0070 memory: 16395 loss: 3.5955 loss_prob: 2.2991 loss_thr: 0.8486 loss_db: 0.4477 2022/11/02 12:55:03 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:55:09 - mmengine - INFO - Epoch(train) [67][5/63] lr: 1.3340e-03 eta: 13:49:13 time: 0.8569 data_time: 0.2356 memory: 16395 loss: 3.5297 loss_prob: 2.2654 loss_thr: 0.8509 loss_db: 0.4134 2022/11/02 12:55:11 - mmengine - INFO - Epoch(train) [67][10/63] lr: 1.3340e-03 eta: 13:48:58 time: 0.8700 data_time: 0.2355 memory: 16395 loss: 3.5415 loss_prob: 2.2605 loss_thr: 0.8600 loss_db: 0.4210 2022/11/02 12:55:16 - mmengine - INFO - Epoch(train) [67][15/63] lr: 1.3340e-03 eta: 13:48:58 time: 0.7125 data_time: 0.0053 memory: 16395 loss: 3.5694 loss_prob: 2.2766 loss_thr: 0.8586 loss_db: 0.4343 2022/11/02 12:55:18 - mmengine - INFO - Epoch(train) [67][20/63] lr: 1.3340e-03 eta: 13:48:52 time: 0.7056 data_time: 0.0105 memory: 16395 loss: 3.7466 loss_prob: 2.3733 loss_thr: 0.8842 loss_db: 0.4891 2022/11/02 12:55:22 - mmengine - INFO - Epoch(train) [67][25/63] lr: 1.3340e-03 eta: 13:48:52 time: 0.5713 data_time: 0.0304 memory: 16395 loss: 3.7954 loss_prob: 2.4057 loss_thr: 0.8836 loss_db: 0.5061 2022/11/02 12:55:25 - mmengine - INFO - Epoch(train) [67][30/63] lr: 1.3340e-03 eta: 13:48:35 time: 0.6390 data_time: 0.0342 memory: 16395 loss: 3.6759 loss_prob: 2.3327 loss_thr: 0.8725 loss_db: 0.4707 2022/11/02 12:55:29 - mmengine - INFO - Epoch(train) [67][35/63] lr: 1.3340e-03 eta: 13:48:35 time: 0.7067 data_time: 0.0140 memory: 16395 loss: 3.6220 loss_prob: 2.3037 loss_thr: 0.8598 loss_db: 0.4585 2022/11/02 12:55:32 - mmengine - INFO - Epoch(train) [67][40/63] lr: 1.3340e-03 eta: 13:48:33 time: 0.7245 data_time: 0.0051 memory: 16395 loss: 3.4929 loss_prob: 2.2370 loss_thr: 0.8465 loss_db: 0.4094 2022/11/02 12:55:35 - mmengine - INFO - Epoch(train) [67][45/63] lr: 1.3340e-03 eta: 13:48:33 time: 0.5990 data_time: 0.0046 memory: 16395 loss: 3.5111 loss_prob: 2.2369 loss_thr: 0.8644 loss_db: 0.4098 2022/11/02 12:55:38 - mmengine - INFO - Epoch(train) [67][50/63] lr: 1.3340e-03 eta: 13:48:09 time: 0.5941 data_time: 0.0161 memory: 16395 loss: 3.7252 loss_prob: 2.3956 loss_thr: 0.8761 loss_db: 0.4534 2022/11/02 12:55:41 - mmengine - INFO - Epoch(train) [67][55/63] lr: 1.3340e-03 eta: 13:48:09 time: 0.6365 data_time: 0.0221 memory: 16395 loss: 3.8092 loss_prob: 2.4457 loss_thr: 0.8815 loss_db: 0.4820 2022/11/02 12:55:45 - mmengine - INFO - Epoch(train) [67][60/63] lr: 1.3340e-03 eta: 13:48:00 time: 0.6816 data_time: 0.0106 memory: 16395 loss: 3.5803 loss_prob: 2.2837 loss_thr: 0.8526 loss_db: 0.4440 2022/11/02 12:55:46 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:55:51 - mmengine - INFO - Epoch(train) [68][5/63] lr: 1.3542e-03 eta: 13:48:00 time: 0.7300 data_time: 0.2163 memory: 16395 loss: 3.5594 loss_prob: 2.2928 loss_thr: 0.8322 loss_db: 0.4344 2022/11/02 12:55:54 - mmengine - INFO - Epoch(train) [68][10/63] lr: 1.3542e-03 eta: 13:47:24 time: 0.7470 data_time: 0.2195 memory: 16395 loss: 3.6630 loss_prob: 2.3497 loss_thr: 0.8478 loss_db: 0.4655 2022/11/02 12:55:56 - mmengine - INFO - Epoch(train) [68][15/63] lr: 1.3542e-03 eta: 13:47:24 time: 0.5568 data_time: 0.0094 memory: 16395 loss: 3.6558 loss_prob: 2.3504 loss_thr: 0.8531 loss_db: 0.4524 2022/11/02 12:55:59 - mmengine - INFO - Epoch(train) [68][20/63] lr: 1.3542e-03 eta: 13:46:49 time: 0.5270 data_time: 0.0065 memory: 16395 loss: 3.7427 loss_prob: 2.4018 loss_thr: 0.8615 loss_db: 0.4794 2022/11/02 12:56:02 - mmengine - INFO - Epoch(train) [68][25/63] lr: 1.3542e-03 eta: 13:46:49 time: 0.5256 data_time: 0.0087 memory: 16395 loss: 3.8732 loss_prob: 2.4779 loss_thr: 0.8561 loss_db: 0.5391 2022/11/02 12:56:05 - mmengine - INFO - Epoch(train) [68][30/63] lr: 1.3542e-03 eta: 13:46:20 time: 0.5669 data_time: 0.0372 memory: 16395 loss: 3.8947 loss_prob: 2.4659 loss_thr: 0.8850 loss_db: 0.5439 2022/11/02 12:56:08 - mmengine - INFO - Epoch(train) [68][35/63] lr: 1.3542e-03 eta: 13:46:20 time: 0.5778 data_time: 0.0371 memory: 16395 loss: 3.7713 loss_prob: 2.3946 loss_thr: 0.9100 loss_db: 0.4667 2022/11/02 12:56:10 - mmengine - INFO - Epoch(train) [68][40/63] lr: 1.3542e-03 eta: 13:45:52 time: 0.5686 data_time: 0.0084 memory: 16395 loss: 3.6554 loss_prob: 2.3429 loss_thr: 0.8814 loss_db: 0.4311 2022/11/02 12:56:13 - mmengine - INFO - Epoch(train) [68][45/63] lr: 1.3542e-03 eta: 13:45:52 time: 0.5468 data_time: 0.0049 memory: 16395 loss: 3.4678 loss_prob: 2.2348 loss_thr: 0.8281 loss_db: 0.4049 2022/11/02 12:56:16 - mmengine - INFO - Epoch(train) [68][50/63] lr: 1.3542e-03 eta: 13:45:19 time: 0.5382 data_time: 0.0075 memory: 16395 loss: 3.4463 loss_prob: 2.2194 loss_thr: 0.8378 loss_db: 0.3891 2022/11/02 12:56:19 - mmengine - INFO - Epoch(train) [68][55/63] lr: 1.3542e-03 eta: 13:45:19 time: 0.5718 data_time: 0.0217 memory: 16395 loss: 3.5053 loss_prob: 2.2398 loss_thr: 0.8650 loss_db: 0.4006 2022/11/02 12:56:21 - mmengine - INFO - Epoch(train) [68][60/63] lr: 1.3542e-03 eta: 13:44:51 time: 0.5677 data_time: 0.0203 memory: 16395 loss: 3.4980 loss_prob: 2.2266 loss_thr: 0.8647 loss_db: 0.4067 2022/11/02 12:56:23 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:56:28 - mmengine - INFO - Epoch(train) [69][5/63] lr: 1.3744e-03 eta: 13:44:51 time: 0.7874 data_time: 0.2081 memory: 16395 loss: 3.4313 loss_prob: 2.2144 loss_thr: 0.8205 loss_db: 0.3964 2022/11/02 12:56:31 - mmengine - INFO - Epoch(train) [69][10/63] lr: 1.3744e-03 eta: 13:44:22 time: 0.7849 data_time: 0.2129 memory: 16395 loss: 3.2678 loss_prob: 2.0917 loss_thr: 0.8107 loss_db: 0.3654 2022/11/02 12:56:33 - mmengine - INFO - Epoch(train) [69][15/63] lr: 1.3744e-03 eta: 13:44:22 time: 0.5314 data_time: 0.0101 memory: 16395 loss: 3.4793 loss_prob: 2.2135 loss_thr: 0.8512 loss_db: 0.4146 2022/11/02 12:56:36 - mmengine - INFO - Epoch(train) [69][20/63] lr: 1.3744e-03 eta: 13:43:52 time: 0.5510 data_time: 0.0056 memory: 16395 loss: 3.8861 loss_prob: 2.5028 loss_thr: 0.8663 loss_db: 0.5169 2022/11/02 12:56:39 - mmengine - INFO - Epoch(train) [69][25/63] lr: 1.3744e-03 eta: 13:43:52 time: 0.5710 data_time: 0.0295 memory: 16395 loss: 3.8468 loss_prob: 2.4874 loss_thr: 0.8546 loss_db: 0.5048 2022/11/02 12:56:42 - mmengine - INFO - Epoch(train) [69][30/63] lr: 1.3744e-03 eta: 13:43:20 time: 0.5429 data_time: 0.0331 memory: 16395 loss: 3.6382 loss_prob: 2.3353 loss_thr: 0.8525 loss_db: 0.4505 2022/11/02 12:56:44 - mmengine - INFO - Epoch(train) [69][35/63] lr: 1.3744e-03 eta: 13:43:20 time: 0.5265 data_time: 0.0145 memory: 16395 loss: 3.4941 loss_prob: 2.2420 loss_thr: 0.8352 loss_db: 0.4169 2022/11/02 12:56:47 - mmengine - INFO - Epoch(train) [69][40/63] lr: 1.3744e-03 eta: 13:42:46 time: 0.5255 data_time: 0.0109 memory: 16395 loss: 3.5268 loss_prob: 2.2402 loss_thr: 0.8599 loss_db: 0.4267 2022/11/02 12:56:49 - mmengine - INFO - Epoch(train) [69][45/63] lr: 1.3744e-03 eta: 13:42:46 time: 0.5051 data_time: 0.0059 memory: 16395 loss: 3.6446 loss_prob: 2.3141 loss_thr: 0.8732 loss_db: 0.4573 2022/11/02 12:56:52 - mmengine - INFO - Epoch(train) [69][50/63] lr: 1.3744e-03 eta: 13:42:10 time: 0.5183 data_time: 0.0175 memory: 16395 loss: 3.8452 loss_prob: 2.4353 loss_thr: 0.8913 loss_db: 0.5186 2022/11/02 12:56:55 - mmengine - INFO - Epoch(train) [69][55/63] lr: 1.3744e-03 eta: 13:42:10 time: 0.5188 data_time: 0.0198 memory: 16395 loss: 4.0494 loss_prob: 2.5994 loss_thr: 0.9028 loss_db: 0.5472 2022/11/02 12:56:57 - mmengine - INFO - Epoch(train) [69][60/63] lr: 1.3744e-03 eta: 13:41:31 time: 0.4979 data_time: 0.0093 memory: 16395 loss: 3.9122 loss_prob: 2.5290 loss_thr: 0.8679 loss_db: 0.5153 2022/11/02 12:56:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:57:03 - mmengine - INFO - Epoch(train) [70][5/63] lr: 1.3945e-03 eta: 13:41:31 time: 0.7256 data_time: 0.1939 memory: 16395 loss: 3.6909 loss_prob: 2.3724 loss_thr: 0.8647 loss_db: 0.4538 2022/11/02 12:57:06 - mmengine - INFO - Epoch(train) [70][10/63] lr: 1.3945e-03 eta: 13:41:02 time: 0.7783 data_time: 0.2089 memory: 16395 loss: 3.7550 loss_prob: 2.3807 loss_thr: 0.8925 loss_db: 0.4818 2022/11/02 12:57:09 - mmengine - INFO - Epoch(train) [70][15/63] lr: 1.3945e-03 eta: 13:41:02 time: 0.5796 data_time: 0.0234 memory: 16395 loss: 3.5998 loss_prob: 2.3003 loss_thr: 0.8605 loss_db: 0.4390 2022/11/02 12:57:12 - mmengine - INFO - Epoch(train) [70][20/63] lr: 1.3945e-03 eta: 13:40:35 time: 0.5666 data_time: 0.0062 memory: 16395 loss: 3.6569 loss_prob: 2.3474 loss_thr: 0.8756 loss_db: 0.4339 2022/11/02 12:57:15 - mmengine - INFO - Epoch(train) [70][25/63] lr: 1.3945e-03 eta: 13:40:35 time: 0.5409 data_time: 0.0076 memory: 16395 loss: 3.6098 loss_prob: 2.2927 loss_thr: 0.8840 loss_db: 0.4331 2022/11/02 12:57:17 - mmengine - INFO - Epoch(train) [70][30/63] lr: 1.3945e-03 eta: 13:40:04 time: 0.5435 data_time: 0.0258 memory: 16395 loss: 3.8514 loss_prob: 2.4663 loss_thr: 0.8796 loss_db: 0.5055 2022/11/02 12:57:20 - mmengine - INFO - Epoch(train) [70][35/63] lr: 1.3945e-03 eta: 13:40:04 time: 0.5577 data_time: 0.0233 memory: 16395 loss: 4.1218 loss_prob: 2.6419 loss_thr: 0.8870 loss_db: 0.5929 2022/11/02 12:57:24 - mmengine - INFO - Epoch(train) [70][40/63] lr: 1.3945e-03 eta: 13:39:49 time: 0.6430 data_time: 0.0042 memory: 16395 loss: 3.8267 loss_prob: 2.4490 loss_thr: 0.8638 loss_db: 0.5140 2022/11/02 12:57:27 - mmengine - INFO - Epoch(train) [70][45/63] lr: 1.3945e-03 eta: 13:39:49 time: 0.6794 data_time: 0.0044 memory: 16395 loss: 3.5878 loss_prob: 2.3160 loss_thr: 0.8360 loss_db: 0.4357 2022/11/02 12:57:30 - mmengine - INFO - Epoch(train) [70][50/63] lr: 1.3945e-03 eta: 13:39:27 time: 0.5925 data_time: 0.0130 memory: 16395 loss: 3.6273 loss_prob: 2.3229 loss_thr: 0.8518 loss_db: 0.4527 2022/11/02 12:57:33 - mmengine - INFO - Epoch(train) [70][55/63] lr: 1.3945e-03 eta: 13:39:27 time: 0.5937 data_time: 0.0202 memory: 16395 loss: 3.5699 loss_prob: 2.2726 loss_thr: 0.8579 loss_db: 0.4393 2022/11/02 12:57:36 - mmengine - INFO - Epoch(train) [70][60/63] lr: 1.3945e-03 eta: 13:39:12 time: 0.6415 data_time: 0.0118 memory: 16395 loss: 3.4470 loss_prob: 2.2079 loss_thr: 0.8334 loss_db: 0.4057 2022/11/02 12:57:37 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:57:43 - mmengine - INFO - Epoch(train) [71][5/63] lr: 1.4147e-03 eta: 13:39:12 time: 0.7939 data_time: 0.1986 memory: 16395 loss: 3.4939 loss_prob: 2.2219 loss_thr: 0.8558 loss_db: 0.4162 2022/11/02 12:57:45 - mmengine - INFO - Epoch(train) [71][10/63] lr: 1.4147e-03 eta: 13:38:46 time: 0.7939 data_time: 0.1993 memory: 16395 loss: 3.7820 loss_prob: 2.3880 loss_thr: 0.9066 loss_db: 0.4874 2022/11/02 12:57:48 - mmengine - INFO - Epoch(train) [71][15/63] lr: 1.4147e-03 eta: 13:38:46 time: 0.5477 data_time: 0.0113 memory: 16395 loss: 3.6293 loss_prob: 2.2971 loss_thr: 0.8799 loss_db: 0.4522 2022/11/02 12:57:51 - mmengine - INFO - Epoch(train) [71][20/63] lr: 1.4147e-03 eta: 13:38:21 time: 0.5752 data_time: 0.0131 memory: 16395 loss: 3.4716 loss_prob: 2.2236 loss_thr: 0.8410 loss_db: 0.4069 2022/11/02 12:57:55 - mmengine - INFO - Epoch(train) [71][25/63] lr: 1.4147e-03 eta: 13:38:21 time: 0.6294 data_time: 0.0117 memory: 16395 loss: 3.5067 loss_prob: 2.2389 loss_thr: 0.8500 loss_db: 0.4178 2022/11/02 12:58:00 - mmengine - INFO - Epoch(train) [71][30/63] lr: 1.4147e-03 eta: 13:38:37 time: 0.8336 data_time: 0.0502 memory: 16395 loss: 3.3710 loss_prob: 2.1452 loss_thr: 0.8296 loss_db: 0.3962 2022/11/02 12:58:02 - mmengine - INFO - Epoch(train) [71][35/63] lr: 1.4147e-03 eta: 13:38:37 time: 0.7776 data_time: 0.0466 memory: 16395 loss: 3.2293 loss_prob: 2.0541 loss_thr: 0.7999 loss_db: 0.3754 2022/11/02 12:58:05 - mmengine - INFO - Epoch(train) [71][40/63] lr: 1.4147e-03 eta: 13:38:15 time: 0.5936 data_time: 0.0131 memory: 16395 loss: 3.2596 loss_prob: 2.0780 loss_thr: 0.8036 loss_db: 0.3780 2022/11/02 12:58:08 - mmengine - INFO - Epoch(train) [71][45/63] lr: 1.4147e-03 eta: 13:38:15 time: 0.5794 data_time: 0.0136 memory: 16395 loss: 3.3253 loss_prob: 2.1276 loss_thr: 0.8090 loss_db: 0.3886 2022/11/02 12:58:11 - mmengine - INFO - Epoch(train) [71][50/63] lr: 1.4147e-03 eta: 13:37:49 time: 0.5725 data_time: 0.0314 memory: 16395 loss: 3.2816 loss_prob: 2.0872 loss_thr: 0.8123 loss_db: 0.3821 2022/11/02 12:58:14 - mmengine - INFO - Epoch(train) [71][55/63] lr: 1.4147e-03 eta: 13:37:49 time: 0.6037 data_time: 0.0307 memory: 16395 loss: 3.4724 loss_prob: 2.2271 loss_thr: 0.8264 loss_db: 0.4189 2022/11/02 12:58:18 - mmengine - INFO - Epoch(train) [71][60/63] lr: 1.4147e-03 eta: 13:37:37 time: 0.6580 data_time: 0.0086 memory: 16395 loss: 3.6399 loss_prob: 2.3372 loss_thr: 0.8564 loss_db: 0.4463 2022/11/02 12:58:20 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:58:25 - mmengine - INFO - Epoch(train) [72][5/63] lr: 1.4349e-03 eta: 13:37:37 time: 0.8453 data_time: 0.2095 memory: 16395 loss: 3.4818 loss_prob: 2.2238 loss_thr: 0.8463 loss_db: 0.4117 2022/11/02 12:58:28 - mmengine - INFO - Epoch(train) [72][10/63] lr: 1.4349e-03 eta: 13:37:15 time: 0.8173 data_time: 0.2543 memory: 16395 loss: 3.6483 loss_prob: 2.3124 loss_thr: 0.8856 loss_db: 0.4502 2022/11/02 12:58:31 - mmengine - INFO - Epoch(train) [72][15/63] lr: 1.4349e-03 eta: 13:37:15 time: 0.5971 data_time: 0.0532 memory: 16395 loss: 3.4974 loss_prob: 2.2240 loss_thr: 0.8563 loss_db: 0.4171 2022/11/02 12:58:34 - mmengine - INFO - Epoch(train) [72][20/63] lr: 1.4349e-03 eta: 13:36:50 time: 0.5751 data_time: 0.0066 memory: 16395 loss: 3.4704 loss_prob: 2.2147 loss_thr: 0.8400 loss_db: 0.4157 2022/11/02 12:58:36 - mmengine - INFO - Epoch(train) [72][25/63] lr: 1.4349e-03 eta: 13:36:50 time: 0.5526 data_time: 0.0058 memory: 16395 loss: 3.5826 loss_prob: 2.2795 loss_thr: 0.8667 loss_db: 0.4364 2022/11/02 12:58:39 - mmengine - INFO - Epoch(train) [72][30/63] lr: 1.4349e-03 eta: 13:36:19 time: 0.5309 data_time: 0.0068 memory: 16395 loss: 3.4643 loss_prob: 2.2154 loss_thr: 0.8451 loss_db: 0.4038 2022/11/02 12:58:42 - mmengine - INFO - Epoch(train) [72][35/63] lr: 1.4349e-03 eta: 13:36:19 time: 0.5488 data_time: 0.0162 memory: 16395 loss: 3.3362 loss_prob: 2.1307 loss_thr: 0.8290 loss_db: 0.3766 2022/11/02 12:58:45 - mmengine - INFO - Epoch(train) [72][40/63] lr: 1.4349e-03 eta: 13:35:52 time: 0.5620 data_time: 0.0139 memory: 16395 loss: 3.4465 loss_prob: 2.1866 loss_thr: 0.8516 loss_db: 0.4083 2022/11/02 12:58:47 - mmengine - INFO - Epoch(train) [72][45/63] lr: 1.4349e-03 eta: 13:35:52 time: 0.5334 data_time: 0.0047 memory: 16395 loss: 3.5047 loss_prob: 2.2308 loss_thr: 0.8400 loss_db: 0.4339 2022/11/02 12:58:50 - mmengine - INFO - Epoch(train) [72][50/63] lr: 1.4349e-03 eta: 13:35:15 time: 0.5009 data_time: 0.0063 memory: 16395 loss: 3.6820 loss_prob: 2.3665 loss_thr: 0.8639 loss_db: 0.4517 2022/11/02 12:58:52 - mmengine - INFO - Epoch(train) [72][55/63] lr: 1.4349e-03 eta: 13:35:15 time: 0.4939 data_time: 0.0075 memory: 16395 loss: 3.7725 loss_prob: 2.4192 loss_thr: 0.8794 loss_db: 0.4739 2022/11/02 12:58:55 - mmengine - INFO - Epoch(train) [72][60/63] lr: 1.4349e-03 eta: 13:34:43 time: 0.5280 data_time: 0.0159 memory: 16395 loss: 3.5845 loss_prob: 2.3014 loss_thr: 0.8228 loss_db: 0.4603 2022/11/02 12:58:56 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:59:01 - mmengine - INFO - Epoch(train) [73][5/63] lr: 1.4551e-03 eta: 13:34:43 time: 0.7519 data_time: 0.1953 memory: 16395 loss: 3.5671 loss_prob: 2.2938 loss_thr: 0.8268 loss_db: 0.4465 2022/11/02 12:59:05 - mmengine - INFO - Epoch(train) [73][10/63] lr: 1.4551e-03 eta: 13:34:26 time: 0.8394 data_time: 0.1972 memory: 16395 loss: 3.3261 loss_prob: 2.1211 loss_thr: 0.8234 loss_db: 0.3817 2022/11/02 12:59:07 - mmengine - INFO - Epoch(train) [73][15/63] lr: 1.4551e-03 eta: 13:34:26 time: 0.5750 data_time: 0.0114 memory: 16395 loss: 3.2872 loss_prob: 2.1168 loss_thr: 0.7879 loss_db: 0.3826 2022/11/02 12:59:10 - mmengine - INFO - Epoch(train) [73][20/63] lr: 1.4551e-03 eta: 13:33:56 time: 0.5400 data_time: 0.0140 memory: 16395 loss: 3.4163 loss_prob: 2.2057 loss_thr: 0.8116 loss_db: 0.3991 2022/11/02 12:59:13 - mmengine - INFO - Epoch(train) [73][25/63] lr: 1.4551e-03 eta: 13:33:56 time: 0.5466 data_time: 0.0211 memory: 16395 loss: 3.4411 loss_prob: 2.2123 loss_thr: 0.8377 loss_db: 0.3912 2022/11/02 12:59:15 - mmengine - INFO - Epoch(train) [73][30/63] lr: 1.4551e-03 eta: 13:33:28 time: 0.5514 data_time: 0.0294 memory: 16395 loss: 3.3826 loss_prob: 2.1606 loss_thr: 0.8298 loss_db: 0.3921 2022/11/02 12:59:18 - mmengine - INFO - Epoch(train) [73][35/63] lr: 1.4551e-03 eta: 13:33:28 time: 0.5785 data_time: 0.0215 memory: 16395 loss: 3.3637 loss_prob: 2.1536 loss_thr: 0.8194 loss_db: 0.3908 2022/11/02 12:59:21 - mmengine - INFO - Epoch(train) [73][40/63] lr: 1.4551e-03 eta: 13:33:01 time: 0.5586 data_time: 0.0092 memory: 16395 loss: 3.2172 loss_prob: 2.0650 loss_thr: 0.7923 loss_db: 0.3599 2022/11/02 12:59:23 - mmengine - INFO - Epoch(train) [73][45/63] lr: 1.4551e-03 eta: 13:33:01 time: 0.4993 data_time: 0.0079 memory: 16395 loss: 3.3562 loss_prob: 2.1398 loss_thr: 0.8224 loss_db: 0.3940 2022/11/02 12:59:26 - mmengine - INFO - Epoch(train) [73][50/63] lr: 1.4551e-03 eta: 13:32:26 time: 0.5042 data_time: 0.0152 memory: 16395 loss: 3.7173 loss_prob: 2.3629 loss_thr: 0.8898 loss_db: 0.4646 2022/11/02 12:59:29 - mmengine - INFO - Epoch(train) [73][55/63] lr: 1.4551e-03 eta: 13:32:26 time: 0.5395 data_time: 0.0205 memory: 16395 loss: 3.5472 loss_prob: 2.2436 loss_thr: 0.8814 loss_db: 0.4223 2022/11/02 12:59:31 - mmengine - INFO - Epoch(train) [73][60/63] lr: 1.4551e-03 eta: 13:31:56 time: 0.5388 data_time: 0.0146 memory: 16395 loss: 3.4294 loss_prob: 2.1702 loss_thr: 0.8648 loss_db: 0.3944 2022/11/02 12:59:33 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 12:59:39 - mmengine - INFO - Epoch(train) [74][5/63] lr: 1.4753e-03 eta: 13:31:56 time: 0.8889 data_time: 0.2608 memory: 16395 loss: 3.6548 loss_prob: 2.3276 loss_thr: 0.8705 loss_db: 0.4567 2022/11/02 12:59:42 - mmengine - INFO - Epoch(train) [74][10/63] lr: 1.4753e-03 eta: 13:31:53 time: 0.9290 data_time: 0.2594 memory: 16395 loss: 3.6597 loss_prob: 2.3283 loss_thr: 0.8686 loss_db: 0.4628 2022/11/02 12:59:44 - mmengine - INFO - Epoch(train) [74][15/63] lr: 1.4753e-03 eta: 13:31:53 time: 0.5078 data_time: 0.0052 memory: 16395 loss: 3.3212 loss_prob: 2.1106 loss_thr: 0.8289 loss_db: 0.3817 2022/11/02 12:59:47 - mmengine - INFO - Epoch(train) [74][20/63] lr: 1.4753e-03 eta: 13:31:19 time: 0.5084 data_time: 0.0046 memory: 16395 loss: 3.1758 loss_prob: 2.0237 loss_thr: 0.8022 loss_db: 0.3500 2022/11/02 12:59:50 - mmengine - INFO - Epoch(train) [74][25/63] lr: 1.4753e-03 eta: 13:31:19 time: 0.5522 data_time: 0.0107 memory: 16395 loss: 3.2842 loss_prob: 2.0833 loss_thr: 0.8263 loss_db: 0.3746 2022/11/02 12:59:53 - mmengine - INFO - Epoch(train) [74][30/63] lr: 1.4753e-03 eta: 13:30:56 time: 0.5834 data_time: 0.0303 memory: 16395 loss: 3.5229 loss_prob: 2.2353 loss_thr: 0.8613 loss_db: 0.4264 2022/11/02 12:59:56 - mmengine - INFO - Epoch(train) [74][35/63] lr: 1.4753e-03 eta: 13:30:56 time: 0.5689 data_time: 0.0238 memory: 16395 loss: 3.6190 loss_prob: 2.3042 loss_thr: 0.8700 loss_db: 0.4448 2022/11/02 12:59:59 - mmengine - INFO - Epoch(train) [74][40/63] lr: 1.4753e-03 eta: 13:30:32 time: 0.5715 data_time: 0.0043 memory: 16395 loss: 3.6613 loss_prob: 2.3271 loss_thr: 0.8805 loss_db: 0.4537 2022/11/02 13:00:02 - mmengine - INFO - Epoch(train) [74][45/63] lr: 1.4753e-03 eta: 13:30:32 time: 0.6841 data_time: 0.0049 memory: 16395 loss: 3.8960 loss_prob: 2.4832 loss_thr: 0.8910 loss_db: 0.5218 2022/11/02 13:00:06 - mmengine - INFO - Epoch(train) [74][50/63] lr: 1.4753e-03 eta: 13:30:30 time: 0.7203 data_time: 0.0203 memory: 16395 loss: 3.6167 loss_prob: 2.3078 loss_thr: 0.8506 loss_db: 0.4583 2022/11/02 13:00:08 - mmengine - INFO - Epoch(train) [74][55/63] lr: 1.4753e-03 eta: 13:30:30 time: 0.5960 data_time: 0.0224 memory: 16395 loss: 3.1995 loss_prob: 2.0373 loss_thr: 0.8131 loss_db: 0.3491 2022/11/02 13:00:11 - mmengine - INFO - Epoch(train) [74][60/63] lr: 1.4753e-03 eta: 13:30:06 time: 0.5684 data_time: 0.0076 memory: 16395 loss: 3.6297 loss_prob: 2.3751 loss_thr: 0.8495 loss_db: 0.4051 2022/11/02 13:00:14 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:00:20 - mmengine - INFO - Epoch(train) [75][5/63] lr: 1.4955e-03 eta: 13:30:06 time: 0.9442 data_time: 0.2540 memory: 16395 loss: 4.1426 loss_prob: 2.7270 loss_thr: 0.8806 loss_db: 0.5350 2022/11/02 13:00:24 - mmengine - INFO - Epoch(train) [75][10/63] lr: 1.4955e-03 eta: 13:30:19 time: 1.0364 data_time: 0.2611 memory: 16395 loss: 4.2521 loss_prob: 2.7036 loss_thr: 0.8883 loss_db: 0.6603 2022/11/02 13:00:29 - mmengine - INFO - Epoch(train) [75][15/63] lr: 1.4955e-03 eta: 13:30:19 time: 0.8750 data_time: 0.0137 memory: 16395 loss: 4.2515 loss_prob: 2.6869 loss_thr: 0.9020 loss_db: 0.6626 2022/11/02 13:00:31 - mmengine - INFO - Epoch(train) [75][20/63] lr: 1.4955e-03 eta: 13:30:19 time: 0.7283 data_time: 0.0083 memory: 16395 loss: 3.9136 loss_prob: 2.5106 loss_thr: 0.8842 loss_db: 0.5188 2022/11/02 13:00:35 - mmengine - INFO - Epoch(train) [75][25/63] lr: 1.4955e-03 eta: 13:30:19 time: 0.5940 data_time: 0.0356 memory: 16395 loss: 3.8596 loss_prob: 2.4697 loss_thr: 0.8902 loss_db: 0.4997 2022/11/02 13:00:37 - mmengine - INFO - Epoch(train) [75][30/63] lr: 1.4955e-03 eta: 13:29:58 time: 0.5969 data_time: 0.0401 memory: 16395 loss: 3.7786 loss_prob: 2.4108 loss_thr: 0.8799 loss_db: 0.4879 2022/11/02 13:00:40 - mmengine - INFO - Epoch(train) [75][35/63] lr: 1.4955e-03 eta: 13:29:58 time: 0.5592 data_time: 0.0123 memory: 16395 loss: 3.7680 loss_prob: 2.4249 loss_thr: 0.8530 loss_db: 0.4901 2022/11/02 13:00:43 - mmengine - INFO - Epoch(train) [75][40/63] lr: 1.4955e-03 eta: 13:29:30 time: 0.5442 data_time: 0.0041 memory: 16395 loss: 3.5893 loss_prob: 2.3140 loss_thr: 0.8362 loss_db: 0.4392 2022/11/02 13:00:46 - mmengine - INFO - Epoch(train) [75][45/63] lr: 1.4955e-03 eta: 13:29:30 time: 0.5686 data_time: 0.0079 memory: 16395 loss: 3.6222 loss_prob: 2.3165 loss_thr: 0.8625 loss_db: 0.4431 2022/11/02 13:00:49 - mmengine - INFO - Epoch(train) [75][50/63] lr: 1.4955e-03 eta: 13:29:16 time: 0.6342 data_time: 0.0218 memory: 16395 loss: 3.7353 loss_prob: 2.4003 loss_thr: 0.8614 loss_db: 0.4736 2022/11/02 13:00:52 - mmengine - INFO - Epoch(train) [75][55/63] lr: 1.4955e-03 eta: 13:29:16 time: 0.5915 data_time: 0.0238 memory: 16395 loss: 3.5399 loss_prob: 2.2831 loss_thr: 0.8340 loss_db: 0.4228 2022/11/02 13:00:54 - mmengine - INFO - Epoch(train) [75][60/63] lr: 1.4955e-03 eta: 13:28:45 time: 0.5294 data_time: 0.0113 memory: 16395 loss: 3.4746 loss_prob: 2.2424 loss_thr: 0.8249 loss_db: 0.4073 2022/11/02 13:00:56 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:01:00 - mmengine - INFO - Epoch(train) [76][5/63] lr: 1.5156e-03 eta: 13:28:45 time: 0.6940 data_time: 0.1940 memory: 16395 loss: 3.5032 loss_prob: 2.2480 loss_thr: 0.8283 loss_db: 0.4269 2022/11/02 13:01:03 - mmengine - INFO - Epoch(train) [76][10/63] lr: 1.5156e-03 eta: 13:28:10 time: 0.7127 data_time: 0.1959 memory: 16395 loss: 3.6493 loss_prob: 2.3454 loss_thr: 0.8428 loss_db: 0.4611 2022/11/02 13:01:05 - mmengine - INFO - Epoch(train) [76][15/63] lr: 1.5156e-03 eta: 13:28:10 time: 0.4905 data_time: 0.0068 memory: 16395 loss: 3.7384 loss_prob: 2.3959 loss_thr: 0.8486 loss_db: 0.4939 2022/11/02 13:01:08 - mmengine - INFO - Epoch(train) [76][20/63] lr: 1.5156e-03 eta: 13:27:37 time: 0.5071 data_time: 0.0049 memory: 16395 loss: 3.6438 loss_prob: 2.3244 loss_thr: 0.8761 loss_db: 0.4434 2022/11/02 13:01:10 - mmengine - INFO - Epoch(train) [76][25/63] lr: 1.5156e-03 eta: 13:27:37 time: 0.5327 data_time: 0.0185 memory: 16395 loss: 3.5249 loss_prob: 2.2557 loss_thr: 0.8662 loss_db: 0.4029 2022/11/02 13:01:13 - mmengine - INFO - Epoch(train) [76][30/63] lr: 1.5156e-03 eta: 13:27:08 time: 0.5350 data_time: 0.0322 memory: 16395 loss: 3.3423 loss_prob: 2.1437 loss_thr: 0.8198 loss_db: 0.3788 2022/11/02 13:01:16 - mmengine - INFO - Epoch(train) [76][35/63] lr: 1.5156e-03 eta: 13:27:08 time: 0.5251 data_time: 0.0194 memory: 16395 loss: 3.5917 loss_prob: 2.3045 loss_thr: 0.8434 loss_db: 0.4439 2022/11/02 13:01:19 - mmengine - INFO - Epoch(train) [76][40/63] lr: 1.5156e-03 eta: 13:26:52 time: 0.6249 data_time: 0.0064 memory: 16395 loss: 3.6724 loss_prob: 2.3523 loss_thr: 0.8587 loss_db: 0.4615 2022/11/02 13:01:22 - mmengine - INFO - Epoch(train) [76][45/63] lr: 1.5156e-03 eta: 13:26:52 time: 0.6566 data_time: 0.0056 memory: 16395 loss: 3.5786 loss_prob: 2.2908 loss_thr: 0.8483 loss_db: 0.4395 2022/11/02 13:01:25 - mmengine - INFO - Epoch(train) [76][50/63] lr: 1.5156e-03 eta: 13:26:28 time: 0.5666 data_time: 0.0138 memory: 16395 loss: 3.6392 loss_prob: 2.3262 loss_thr: 0.8522 loss_db: 0.4607 2022/11/02 13:01:28 - mmengine - INFO - Epoch(train) [76][55/63] lr: 1.5156e-03 eta: 13:26:28 time: 0.5522 data_time: 0.0203 memory: 16395 loss: 3.5437 loss_prob: 2.2779 loss_thr: 0.8371 loss_db: 0.4287 2022/11/02 13:01:30 - mmengine - INFO - Epoch(train) [76][60/63] lr: 1.5156e-03 eta: 13:25:59 time: 0.5366 data_time: 0.0127 memory: 16395 loss: 3.4374 loss_prob: 2.2133 loss_thr: 0.8188 loss_db: 0.4054 2022/11/02 13:01:32 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:01:37 - mmengine - INFO - Epoch(train) [77][5/63] lr: 1.5358e-03 eta: 13:25:59 time: 0.7109 data_time: 0.2193 memory: 16395 loss: 3.4585 loss_prob: 2.2333 loss_thr: 0.8065 loss_db: 0.4186 2022/11/02 13:01:39 - mmengine - INFO - Epoch(train) [77][10/63] lr: 1.5358e-03 eta: 13:25:32 time: 0.7650 data_time: 0.2192 memory: 16395 loss: 3.3303 loss_prob: 2.1291 loss_thr: 0.8150 loss_db: 0.3862 2022/11/02 13:01:42 - mmengine - INFO - Epoch(train) [77][15/63] lr: 1.5358e-03 eta: 13:25:32 time: 0.5391 data_time: 0.0049 memory: 16395 loss: 3.3533 loss_prob: 2.1256 loss_thr: 0.8326 loss_db: 0.3951 2022/11/02 13:01:44 - mmengine - INFO - Epoch(train) [77][20/63] lr: 1.5358e-03 eta: 13:25:01 time: 0.5143 data_time: 0.0048 memory: 16395 loss: 3.4142 loss_prob: 2.1798 loss_thr: 0.8375 loss_db: 0.3969 2022/11/02 13:01:47 - mmengine - INFO - Epoch(train) [77][25/63] lr: 1.5358e-03 eta: 13:25:01 time: 0.5206 data_time: 0.0304 memory: 16395 loss: 3.5411 loss_prob: 2.2739 loss_thr: 0.8426 loss_db: 0.4247 2022/11/02 13:01:50 - mmengine - INFO - Epoch(train) [77][30/63] lr: 1.5358e-03 eta: 13:24:33 time: 0.5406 data_time: 0.0381 memory: 16395 loss: 3.5801 loss_prob: 2.2813 loss_thr: 0.8574 loss_db: 0.4414 2022/11/02 13:01:52 - mmengine - INFO - Epoch(train) [77][35/63] lr: 1.5358e-03 eta: 13:24:33 time: 0.5372 data_time: 0.0130 memory: 16395 loss: 3.6474 loss_prob: 2.3148 loss_thr: 0.8810 loss_db: 0.4516 2022/11/02 13:01:55 - mmengine - INFO - Epoch(train) [77][40/63] lr: 1.5358e-03 eta: 13:24:02 time: 0.5175 data_time: 0.0052 memory: 16395 loss: 3.6343 loss_prob: 2.2958 loss_thr: 0.8934 loss_db: 0.4451 2022/11/02 13:01:58 - mmengine - INFO - Epoch(train) [77][45/63] lr: 1.5358e-03 eta: 13:24:02 time: 0.5148 data_time: 0.0057 memory: 16395 loss: 3.5126 loss_prob: 2.2226 loss_thr: 0.8672 loss_db: 0.4227 2022/11/02 13:02:01 - mmengine - INFO - Epoch(train) [77][50/63] lr: 1.5358e-03 eta: 13:23:37 time: 0.5544 data_time: 0.0201 memory: 16395 loss: 3.3135 loss_prob: 2.1140 loss_thr: 0.8118 loss_db: 0.3877 2022/11/02 13:02:03 - mmengine - INFO - Epoch(train) [77][55/63] lr: 1.5358e-03 eta: 13:23:37 time: 0.5501 data_time: 0.0198 memory: 16395 loss: 3.3994 loss_prob: 2.1883 loss_thr: 0.8160 loss_db: 0.3950 2022/11/02 13:02:06 - mmengine - INFO - Epoch(train) [77][60/63] lr: 1.5358e-03 eta: 13:23:06 time: 0.5143 data_time: 0.0055 memory: 16395 loss: 3.7446 loss_prob: 2.4153 loss_thr: 0.8540 loss_db: 0.4753 2022/11/02 13:02:07 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:02:12 - mmengine - INFO - Epoch(train) [78][5/63] lr: 1.5560e-03 eta: 13:23:06 time: 0.7294 data_time: 0.2301 memory: 16395 loss: 4.3382 loss_prob: 2.7569 loss_thr: 0.9181 loss_db: 0.6632 2022/11/02 13:02:15 - mmengine - INFO - Epoch(train) [78][10/63] lr: 1.5560e-03 eta: 13:22:39 time: 0.7665 data_time: 0.2306 memory: 16395 loss: 4.0600 loss_prob: 2.5826 loss_thr: 0.8914 loss_db: 0.5860 2022/11/02 13:02:17 - mmengine - INFO - Epoch(train) [78][15/63] lr: 1.5560e-03 eta: 13:22:39 time: 0.5078 data_time: 0.0056 memory: 16395 loss: 3.8100 loss_prob: 2.4534 loss_thr: 0.8616 loss_db: 0.4950 2022/11/02 13:02:19 - mmengine - INFO - Epoch(train) [78][20/63] lr: 1.5560e-03 eta: 13:22:05 time: 0.4912 data_time: 0.0083 memory: 16395 loss: 3.5535 loss_prob: 2.2859 loss_thr: 0.8386 loss_db: 0.4289 2022/11/02 13:02:22 - mmengine - INFO - Epoch(train) [78][25/63] lr: 1.5560e-03 eta: 13:22:05 time: 0.5268 data_time: 0.0290 memory: 16395 loss: 3.5653 loss_prob: 2.2979 loss_thr: 0.8468 loss_db: 0.4206 2022/11/02 13:02:25 - mmengine - INFO - Epoch(train) [78][30/63] lr: 1.5560e-03 eta: 13:21:46 time: 0.5922 data_time: 0.0416 memory: 16395 loss: 3.5741 loss_prob: 2.2889 loss_thr: 0.8542 loss_db: 0.4309 2022/11/02 13:02:28 - mmengine - INFO - Epoch(train) [78][35/63] lr: 1.5560e-03 eta: 13:21:46 time: 0.5623 data_time: 0.0212 memory: 16395 loss: 3.5623 loss_prob: 2.2843 loss_thr: 0.8522 loss_db: 0.4258 2022/11/02 13:02:31 - mmengine - INFO - Epoch(train) [78][40/63] lr: 1.5560e-03 eta: 13:21:23 time: 0.5724 data_time: 0.0053 memory: 16395 loss: 3.5597 loss_prob: 2.2904 loss_thr: 0.8417 loss_db: 0.4276 2022/11/02 13:02:34 - mmengine - INFO - Epoch(train) [78][45/63] lr: 1.5560e-03 eta: 13:21:23 time: 0.6392 data_time: 0.0051 memory: 16395 loss: 3.3704 loss_prob: 2.1462 loss_thr: 0.8339 loss_db: 0.3902 2022/11/02 13:02:37 - mmengine - INFO - Epoch(train) [78][50/63] lr: 1.5560e-03 eta: 13:21:04 time: 0.5939 data_time: 0.0228 memory: 16395 loss: 3.4847 loss_prob: 2.2115 loss_thr: 0.8554 loss_db: 0.4178 2022/11/02 13:02:40 - mmengine - INFO - Epoch(train) [78][55/63] lr: 1.5560e-03 eta: 13:21:04 time: 0.6179 data_time: 0.0258 memory: 16395 loss: 3.4240 loss_prob: 2.1690 loss_thr: 0.8484 loss_db: 0.4066 2022/11/02 13:02:43 - mmengine - INFO - Epoch(train) [78][60/63] lr: 1.5560e-03 eta: 13:20:47 time: 0.6119 data_time: 0.0088 memory: 16395 loss: 3.1593 loss_prob: 1.9957 loss_thr: 0.8155 loss_db: 0.3481 2022/11/02 13:02:44 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:02:51 - mmengine - INFO - Epoch(train) [79][5/63] lr: 1.5762e-03 eta: 13:20:47 time: 0.8438 data_time: 0.2304 memory: 16395 loss: 3.1966 loss_prob: 2.0150 loss_thr: 0.8313 loss_db: 0.3503 2022/11/02 13:02:53 - mmengine - INFO - Epoch(train) [79][10/63] lr: 1.5762e-03 eta: 13:20:41 time: 0.9001 data_time: 0.2305 memory: 16395 loss: 3.2967 loss_prob: 2.0950 loss_thr: 0.8248 loss_db: 0.3769 2022/11/02 13:02:56 - mmengine - INFO - Epoch(train) [79][15/63] lr: 1.5762e-03 eta: 13:20:41 time: 0.5577 data_time: 0.0052 memory: 16395 loss: 3.2964 loss_prob: 2.1101 loss_thr: 0.8112 loss_db: 0.3751 2022/11/02 13:03:00 - mmengine - INFO - Epoch(train) [79][20/63] lr: 1.5762e-03 eta: 13:20:27 time: 0.6312 data_time: 0.0048 memory: 16395 loss: 3.4694 loss_prob: 2.2336 loss_thr: 0.8259 loss_db: 0.4100 2022/11/02 13:03:04 - mmengine - INFO - Epoch(train) [79][25/63] lr: 1.5762e-03 eta: 13:20:27 time: 0.7648 data_time: 0.0229 memory: 16395 loss: 3.4872 loss_prob: 2.2339 loss_thr: 0.8354 loss_db: 0.4179 2022/11/02 13:03:07 - mmengine - INFO - Epoch(train) [79][30/63] lr: 1.5762e-03 eta: 13:20:31 time: 0.7524 data_time: 0.0361 memory: 16395 loss: 3.3478 loss_prob: 2.1263 loss_thr: 0.8393 loss_db: 0.3822 2022/11/02 13:03:10 - mmengine - INFO - Epoch(train) [79][35/63] lr: 1.5762e-03 eta: 13:20:31 time: 0.6457 data_time: 0.0179 memory: 16395 loss: 3.5776 loss_prob: 2.2748 loss_thr: 0.8773 loss_db: 0.4255 2022/11/02 13:03:13 - mmengine - INFO - Epoch(train) [79][40/63] lr: 1.5762e-03 eta: 13:20:09 time: 0.5723 data_time: 0.0049 memory: 16395 loss: 3.5245 loss_prob: 2.2465 loss_thr: 0.8548 loss_db: 0.4232 2022/11/02 13:03:16 - mmengine - INFO - Epoch(train) [79][45/63] lr: 1.5762e-03 eta: 13:20:09 time: 0.5870 data_time: 0.0075 memory: 16395 loss: 3.2972 loss_prob: 2.1156 loss_thr: 0.7957 loss_db: 0.3859 2022/11/02 13:03:19 - mmengine - INFO - Epoch(train) [79][50/63] lr: 1.5762e-03 eta: 13:19:54 time: 0.6243 data_time: 0.0245 memory: 16395 loss: 3.3505 loss_prob: 2.1407 loss_thr: 0.8220 loss_db: 0.3877 2022/11/02 13:03:22 - mmengine - INFO - Epoch(train) [79][55/63] lr: 1.5762e-03 eta: 13:19:54 time: 0.5531 data_time: 0.0219 memory: 16395 loss: 3.3500 loss_prob: 2.1446 loss_thr: 0.8207 loss_db: 0.3847 2022/11/02 13:03:24 - mmengine - INFO - Epoch(train) [79][60/63] lr: 1.5762e-03 eta: 13:19:24 time: 0.5195 data_time: 0.0045 memory: 16395 loss: 3.4311 loss_prob: 2.1950 loss_thr: 0.8268 loss_db: 0.4094 2022/11/02 13:03:26 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:03:32 - mmengine - INFO - Epoch(train) [80][5/63] lr: 1.5964e-03 eta: 13:19:24 time: 0.8327 data_time: 0.1954 memory: 16395 loss: 3.6684 loss_prob: 2.3426 loss_thr: 0.8674 loss_db: 0.4584 2022/11/02 13:03:34 - mmengine - INFO - Epoch(train) [80][10/63] lr: 1.5964e-03 eta: 13:19:07 time: 0.8206 data_time: 0.2042 memory: 16395 loss: 3.7832 loss_prob: 2.4361 loss_thr: 0.8803 loss_db: 0.4668 2022/11/02 13:03:37 - mmengine - INFO - Epoch(train) [80][15/63] lr: 1.5964e-03 eta: 13:19:07 time: 0.5821 data_time: 0.0154 memory: 16395 loss: 3.8210 loss_prob: 2.4676 loss_thr: 0.8708 loss_db: 0.4827 2022/11/02 13:03:40 - mmengine - INFO - Epoch(train) [80][20/63] lr: 1.5964e-03 eta: 13:18:47 time: 0.5886 data_time: 0.0123 memory: 16395 loss: 3.6537 loss_prob: 2.3407 loss_thr: 0.8585 loss_db: 0.4544 2022/11/02 13:03:42 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:03:43 - mmengine - INFO - Epoch(train) [80][25/63] lr: 1.5964e-03 eta: 13:18:47 time: 0.5467 data_time: 0.0305 memory: 16395 loss: 3.5936 loss_prob: 2.2907 loss_thr: 0.8604 loss_db: 0.4425 2022/11/02 13:03:46 - mmengine - INFO - Epoch(train) [80][30/63] lr: 1.5964e-03 eta: 13:18:22 time: 0.5472 data_time: 0.0251 memory: 16395 loss: 3.5563 loss_prob: 2.2566 loss_thr: 0.8622 loss_db: 0.4374 2022/11/02 13:03:48 - mmengine - INFO - Epoch(train) [80][35/63] lr: 1.5964e-03 eta: 13:18:22 time: 0.5509 data_time: 0.0108 memory: 16395 loss: 3.1887 loss_prob: 2.0215 loss_thr: 0.8179 loss_db: 0.3493 2022/11/02 13:03:51 - mmengine - INFO - Epoch(train) [80][40/63] lr: 1.5964e-03 eta: 13:17:51 time: 0.5082 data_time: 0.0106 memory: 16395 loss: 3.1527 loss_prob: 2.0095 loss_thr: 0.7993 loss_db: 0.3439 2022/11/02 13:03:53 - mmengine - INFO - Epoch(train) [80][45/63] lr: 1.5964e-03 eta: 13:17:51 time: 0.4861 data_time: 0.0080 memory: 16395 loss: 3.4017 loss_prob: 2.1781 loss_thr: 0.8150 loss_db: 0.4086 2022/11/02 13:03:56 - mmengine - INFO - Epoch(train) [80][50/63] lr: 1.5964e-03 eta: 13:17:22 time: 0.5215 data_time: 0.0207 memory: 16395 loss: 3.5081 loss_prob: 2.2450 loss_thr: 0.8270 loss_db: 0.4361 2022/11/02 13:03:59 - mmengine - INFO - Epoch(train) [80][55/63] lr: 1.5964e-03 eta: 13:17:22 time: 0.5438 data_time: 0.0178 memory: 16395 loss: 3.5377 loss_prob: 2.2579 loss_thr: 0.8493 loss_db: 0.4305 2022/11/02 13:04:01 - mmengine - INFO - Epoch(train) [80][60/63] lr: 1.5964e-03 eta: 13:16:55 time: 0.5341 data_time: 0.0087 memory: 16395 loss: 3.5920 loss_prob: 2.2970 loss_thr: 0.8567 loss_db: 0.4383 2022/11/02 13:04:03 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:04:03 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/11/02 13:04:06 - mmengine - INFO - Epoch(val) [80][5/500] eta: 13:16:55 time: 0.0460 data_time: 0.0048 memory: 16395 2022/11/02 13:04:06 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:00:21 time: 0.0438 data_time: 0.0045 memory: 1013 2022/11/02 13:04:07 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:00:21 time: 0.0424 data_time: 0.0022 memory: 1013 2022/11/02 13:04:07 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:00:21 time: 0.0443 data_time: 0.0022 memory: 1013 2022/11/02 13:04:07 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:00:21 time: 0.0414 data_time: 0.0022 memory: 1013 2022/11/02 13:04:07 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:00:20 time: 0.0432 data_time: 0.0023 memory: 1013 2022/11/02 13:04:08 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:00:20 time: 0.0447 data_time: 0.0023 memory: 1013 2022/11/02 13:04:08 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:00:20 time: 0.0451 data_time: 0.0023 memory: 1013 2022/11/02 13:04:08 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:00:20 time: 0.0507 data_time: 0.0033 memory: 1013 2022/11/02 13:04:08 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:27 time: 0.0602 data_time: 0.0148 memory: 1013 2022/11/02 13:04:09 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:27 time: 0.0537 data_time: 0.0134 memory: 1013 2022/11/02 13:04:09 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:00:18 time: 0.0423 data_time: 0.0016 memory: 1013 2022/11/02 13:04:09 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:00:18 time: 0.0432 data_time: 0.0019 memory: 1013 2022/11/02 13:04:09 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:00:18 time: 0.0433 data_time: 0.0022 memory: 1013 2022/11/02 13:04:09 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:00:18 time: 0.0429 data_time: 0.0023 memory: 1013 2022/11/02 13:04:10 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:00:47 time: 0.1134 data_time: 0.0730 memory: 1013 2022/11/02 13:04:11 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:00:47 time: 0.1189 data_time: 0.0731 memory: 1013 2022/11/02 13:04:11 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:20 time: 0.0504 data_time: 0.0028 memory: 1013 2022/11/02 13:04:11 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:20 time: 0.0458 data_time: 0.0029 memory: 1013 2022/11/02 13:04:11 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:00:17 time: 0.0436 data_time: 0.0028 memory: 1013 2022/11/02 13:04:12 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:00:17 time: 0.0443 data_time: 0.0028 memory: 1013 2022/11/02 13:04:12 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:00:17 time: 0.0448 data_time: 0.0028 memory: 1013 2022/11/02 13:04:12 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:00:17 time: 0.0473 data_time: 0.0030 memory: 1013 2022/11/02 13:04:12 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:18 time: 0.0486 data_time: 0.0032 memory: 1013 2022/11/02 13:04:12 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:18 time: 0.0435 data_time: 0.0029 memory: 1013 2022/11/02 13:04:13 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:00:15 time: 0.0414 data_time: 0.0025 memory: 1013 2022/11/02 13:04:13 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:00:15 time: 0.0406 data_time: 0.0024 memory: 1013 2022/11/02 13:04:13 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:14 time: 0.0410 data_time: 0.0024 memory: 1013 2022/11/02 13:04:13 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:14 time: 0.0447 data_time: 0.0027 memory: 1013 2022/11/02 13:04:14 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:00:15 time: 0.0449 data_time: 0.0031 memory: 1013 2022/11/02 13:04:14 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:00:15 time: 0.0691 data_time: 0.0260 memory: 1013 2022/11/02 13:04:14 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:24 time: 0.0718 data_time: 0.0254 memory: 1013 2022/11/02 13:04:14 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:24 time: 0.0488 data_time: 0.0022 memory: 1013 2022/11/02 13:04:15 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:15 time: 0.0474 data_time: 0.0029 memory: 1013 2022/11/02 13:04:15 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:15 time: 0.0442 data_time: 0.0028 memory: 1013 2022/11/02 13:04:15 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:14 time: 0.0440 data_time: 0.0027 memory: 1013 2022/11/02 13:04:15 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:14 time: 0.0458 data_time: 0.0027 memory: 1013 2022/11/02 13:04:16 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:13 time: 0.0437 data_time: 0.0024 memory: 1013 2022/11/02 13:04:16 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:13 time: 0.0422 data_time: 0.0023 memory: 1013 2022/11/02 13:04:16 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:14 time: 0.0474 data_time: 0.0025 memory: 1013 2022/11/02 13:04:16 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:14 time: 0.0459 data_time: 0.0025 memory: 1013 2022/11/02 13:04:16 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:00:11 time: 0.0406 data_time: 0.0025 memory: 1013 2022/11/02 13:04:17 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:00:11 time: 0.0438 data_time: 0.0025 memory: 1013 2022/11/02 13:04:17 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:00:12 time: 0.0458 data_time: 0.0034 memory: 1013 2022/11/02 13:04:17 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:00:12 time: 0.0463 data_time: 0.0030 memory: 1013 2022/11/02 13:04:17 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:12 time: 0.0459 data_time: 0.0022 memory: 1013 2022/11/02 13:04:18 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:12 time: 0.0431 data_time: 0.0027 memory: 1013 2022/11/02 13:04:18 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:11 time: 0.0426 data_time: 0.0025 memory: 1013 2022/11/02 13:04:18 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:11 time: 0.0411 data_time: 0.0024 memory: 1013 2022/11/02 13:04:18 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:10 time: 0.0410 data_time: 0.0023 memory: 1013 2022/11/02 13:04:18 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:10 time: 0.0434 data_time: 0.0024 memory: 1013 2022/11/02 13:04:19 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:10 time: 0.0438 data_time: 0.0025 memory: 1013 2022/11/02 13:04:19 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:10 time: 0.0468 data_time: 0.0026 memory: 1013 2022/11/02 13:04:20 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:00:25 time: 0.1116 data_time: 0.0670 memory: 1013 2022/11/02 13:04:20 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:00:25 time: 0.1059 data_time: 0.0665 memory: 1013 2022/11/02 13:04:20 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:00:08 time: 0.0399 data_time: 0.0018 memory: 1013 2022/11/02 13:04:20 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:00:08 time: 0.0402 data_time: 0.0021 memory: 1013 2022/11/02 13:04:21 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:00:08 time: 0.0407 data_time: 0.0021 memory: 1013 2022/11/02 13:04:21 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:00:08 time: 0.0419 data_time: 0.0022 memory: 1013 2022/11/02 13:04:21 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:00:08 time: 0.0414 data_time: 0.0022 memory: 1013 2022/11/02 13:04:21 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:00:08 time: 0.0431 data_time: 0.0023 memory: 1013 2022/11/02 13:04:21 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:00:07 time: 0.0421 data_time: 0.0023 memory: 1013 2022/11/02 13:04:22 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:07 time: 0.0417 data_time: 0.0022 memory: 1013 2022/11/02 13:04:22 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:00:07 time: 0.0444 data_time: 0.0025 memory: 1013 2022/11/02 13:04:22 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:00:07 time: 0.0509 data_time: 0.0025 memory: 1013 2022/11/02 13:04:22 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:00:08 time: 0.0481 data_time: 0.0021 memory: 1013 2022/11/02 13:04:23 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:00:08 time: 0.0389 data_time: 0.0020 memory: 1013 2022/11/02 13:04:23 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:07 time: 0.0445 data_time: 0.0023 memory: 1013 2022/11/02 13:04:23 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:07 time: 0.0451 data_time: 0.0023 memory: 1013 2022/11/02 13:04:23 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:06 time: 0.0418 data_time: 0.0023 memory: 1013 2022/11/02 13:04:23 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:06 time: 0.0419 data_time: 0.0024 memory: 1013 2022/11/02 13:04:24 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:05 time: 0.0403 data_time: 0.0024 memory: 1013 2022/11/02 13:04:24 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:05 time: 0.0437 data_time: 0.0025 memory: 1013 2022/11/02 13:04:24 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:05 time: 0.0412 data_time: 0.0024 memory: 1013 2022/11/02 13:04:24 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:05 time: 0.0449 data_time: 0.0032 memory: 1013 2022/11/02 13:04:25 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:06 time: 0.0521 data_time: 0.0043 memory: 1013 2022/11/02 13:04:25 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:06 time: 0.0461 data_time: 0.0033 memory: 1013 2022/11/02 13:04:25 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:04 time: 0.0437 data_time: 0.0024 memory: 1013 2022/11/02 13:04:25 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:04 time: 0.0429 data_time: 0.0024 memory: 1013 2022/11/02 13:04:25 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:04 time: 0.0404 data_time: 0.0021 memory: 1013 2022/11/02 13:04:26 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:04 time: 0.0418 data_time: 0.0020 memory: 1013 2022/11/02 13:04:26 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:04 time: 0.0445 data_time: 0.0023 memory: 1013 2022/11/02 13:04:26 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:04 time: 0.0433 data_time: 0.0022 memory: 1013 2022/11/02 13:04:26 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:03 time: 0.0387 data_time: 0.0020 memory: 1013 2022/11/02 13:04:26 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:03 time: 0.0421 data_time: 0.0024 memory: 1013 2022/11/02 13:04:27 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:03 time: 0.0437 data_time: 0.0025 memory: 1013 2022/11/02 13:04:27 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:03 time: 0.0397 data_time: 0.0023 memory: 1013 2022/11/02 13:04:27 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:02 time: 0.0411 data_time: 0.0023 memory: 1013 2022/11/02 13:04:27 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:02 time: 0.0433 data_time: 0.0022 memory: 1013 2022/11/02 13:04:28 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:02 time: 0.0459 data_time: 0.0022 memory: 1013 2022/11/02 13:04:28 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:02 time: 0.0450 data_time: 0.0021 memory: 1013 2022/11/02 13:04:28 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:01 time: 0.0419 data_time: 0.0024 memory: 1013 2022/11/02 13:04:28 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:01 time: 0.0406 data_time: 0.0024 memory: 1013 2022/11/02 13:04:28 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:01 time: 0.0384 data_time: 0.0021 memory: 1013 2022/11/02 13:04:29 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:01 time: 0.0379 data_time: 0.0023 memory: 1013 2022/11/02 13:04:29 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:00 time: 0.0390 data_time: 0.0023 memory: 1013 2022/11/02 13:04:29 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:00 time: 0.0429 data_time: 0.0023 memory: 1013 2022/11/02 13:04:29 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:00 time: 0.0471 data_time: 0.0026 memory: 1013 2022/11/02 13:04:29 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:00 time: 0.0452 data_time: 0.0024 memory: 1013 2022/11/02 13:04:30 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.0430 data_time: 0.0027 memory: 1013 2022/11/02 13:04:30 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 13:04:30 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.5368, precision: 0.4579, hmean: 0.4942 2022/11/02 13:04:30 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.5320, precision: 0.6613, hmean: 0.5896 2022/11/02 13:04:30 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.4742, precision: 0.7624, hmean: 0.5847 2022/11/02 13:04:30 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.3110, precision: 0.8136, hmean: 0.4500 2022/11/02 13:04:30 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0997, precision: 0.8961, hmean: 0.1794 2022/11/02 13:04:30 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0024, precision: 0.8333, hmean: 0.0048 2022/11/02 13:04:30 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 13:04:30 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.6613 icdar/recall: 0.5320 icdar/hmean: 0.5896 2022/11/02 13:04:35 - mmengine - INFO - Epoch(train) [81][5/63] lr: 1.6165e-03 eta: 0:00:00 time: 0.7365 data_time: 0.2087 memory: 16395 loss: 3.4663 loss_prob: 2.1940 loss_thr: 0.8651 loss_db: 0.4073 2022/11/02 13:04:37 - mmengine - INFO - Epoch(train) [81][10/63] lr: 1.6165e-03 eta: 13:16:29 time: 0.7516 data_time: 0.2090 memory: 16395 loss: 3.2780 loss_prob: 2.0904 loss_thr: 0.8196 loss_db: 0.3680 2022/11/02 13:04:40 - mmengine - INFO - Epoch(train) [81][15/63] lr: 1.6165e-03 eta: 13:16:29 time: 0.5327 data_time: 0.0049 memory: 16395 loss: 3.2225 loss_prob: 2.0761 loss_thr: 0.7793 loss_db: 0.3672 2022/11/02 13:04:43 - mmengine - INFO - Epoch(train) [81][20/63] lr: 1.6165e-03 eta: 13:16:03 time: 0.5392 data_time: 0.0048 memory: 16395 loss: 3.4200 loss_prob: 2.1925 loss_thr: 0.8146 loss_db: 0.4129 2022/11/02 13:04:45 - mmengine - INFO - Epoch(train) [81][25/63] lr: 1.6165e-03 eta: 13:16:03 time: 0.5299 data_time: 0.0141 memory: 16395 loss: 3.5809 loss_prob: 2.2706 loss_thr: 0.8723 loss_db: 0.4381 2022/11/02 13:04:49 - mmengine - INFO - Epoch(train) [81][30/63] lr: 1.6165e-03 eta: 13:15:47 time: 0.6165 data_time: 0.0383 memory: 16395 loss: 3.3222 loss_prob: 2.1033 loss_thr: 0.8415 loss_db: 0.3774 2022/11/02 13:04:51 - mmengine - INFO - Epoch(train) [81][35/63] lr: 1.6165e-03 eta: 13:15:47 time: 0.6010 data_time: 0.0284 memory: 16395 loss: 3.2629 loss_prob: 2.0694 loss_thr: 0.8189 loss_db: 0.3746 2022/11/02 13:04:54 - mmengine - INFO - Epoch(train) [81][40/63] lr: 1.6165e-03 eta: 13:15:22 time: 0.5454 data_time: 0.0043 memory: 16395 loss: 3.4517 loss_prob: 2.1811 loss_thr: 0.8509 loss_db: 0.4197 2022/11/02 13:04:57 - mmengine - INFO - Epoch(train) [81][45/63] lr: 1.6165e-03 eta: 13:15:22 time: 0.5522 data_time: 0.0044 memory: 16395 loss: 3.3670 loss_prob: 2.1291 loss_thr: 0.8437 loss_db: 0.3943 2022/11/02 13:05:00 - mmengine - INFO - Epoch(train) [81][50/63] lr: 1.6165e-03 eta: 13:14:55 time: 0.5318 data_time: 0.0118 memory: 16395 loss: 3.3257 loss_prob: 2.1114 loss_thr: 0.8340 loss_db: 0.3802 2022/11/02 13:05:02 - mmengine - INFO - Epoch(train) [81][55/63] lr: 1.6165e-03 eta: 13:14:55 time: 0.5514 data_time: 0.0217 memory: 16395 loss: 3.3825 loss_prob: 2.1496 loss_thr: 0.8378 loss_db: 0.3952 2022/11/02 13:05:05 - mmengine - INFO - Epoch(train) [81][60/63] lr: 1.6165e-03 eta: 13:14:30 time: 0.5407 data_time: 0.0145 memory: 16395 loss: 3.3931 loss_prob: 2.1518 loss_thr: 0.8417 loss_db: 0.3996 2022/11/02 13:05:06 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:05:12 - mmengine - INFO - Epoch(train) [82][5/63] lr: 1.6367e-03 eta: 13:14:30 time: 0.7678 data_time: 0.2099 memory: 16395 loss: 3.4036 loss_prob: 2.1748 loss_thr: 0.8293 loss_db: 0.3994 2022/11/02 13:05:14 - mmengine - INFO - Epoch(train) [82][10/63] lr: 1.6367e-03 eta: 13:14:08 time: 0.7833 data_time: 0.2101 memory: 16395 loss: 3.1810 loss_prob: 2.0231 loss_thr: 0.7972 loss_db: 0.3607 2022/11/02 13:05:17 - mmengine - INFO - Epoch(train) [82][15/63] lr: 1.6367e-03 eta: 13:14:08 time: 0.5752 data_time: 0.0060 memory: 16395 loss: 3.2903 loss_prob: 2.0958 loss_thr: 0.8198 loss_db: 0.3747 2022/11/02 13:05:20 - mmengine - INFO - Epoch(train) [82][20/63] lr: 1.6367e-03 eta: 13:13:53 time: 0.6162 data_time: 0.0062 memory: 16395 loss: 3.4544 loss_prob: 2.2028 loss_thr: 0.8455 loss_db: 0.4061 2022/11/02 13:05:24 - mmengine - INFO - Epoch(train) [82][25/63] lr: 1.6367e-03 eta: 13:13:53 time: 0.6490 data_time: 0.0121 memory: 16395 loss: 3.1694 loss_prob: 2.0348 loss_thr: 0.7782 loss_db: 0.3564 2022/11/02 13:05:28 - mmengine - INFO - Epoch(train) [82][30/63] lr: 1.6367e-03 eta: 13:13:55 time: 0.7433 data_time: 0.0417 memory: 16395 loss: 3.2948 loss_prob: 2.1066 loss_thr: 0.8127 loss_db: 0.3754 2022/11/02 13:05:31 - mmengine - INFO - Epoch(train) [82][35/63] lr: 1.6367e-03 eta: 13:13:55 time: 0.7496 data_time: 0.0375 memory: 16395 loss: 3.3032 loss_prob: 2.0957 loss_thr: 0.8271 loss_db: 0.3804 2022/11/02 13:05:35 - mmengine - INFO - Epoch(train) [82][40/63] lr: 1.6367e-03 eta: 13:13:51 time: 0.6913 data_time: 0.0078 memory: 16395 loss: 3.0296 loss_prob: 1.9222 loss_thr: 0.7763 loss_db: 0.3311 2022/11/02 13:05:37 - mmengine - INFO - Epoch(train) [82][45/63] lr: 1.6367e-03 eta: 13:13:51 time: 0.6189 data_time: 0.0050 memory: 16395 loss: 3.0988 loss_prob: 1.9736 loss_thr: 0.7723 loss_db: 0.3530 2022/11/02 13:05:40 - mmengine - INFO - Epoch(train) [82][50/63] lr: 1.6367e-03 eta: 13:13:28 time: 0.5577 data_time: 0.0082 memory: 16395 loss: 3.2001 loss_prob: 2.0617 loss_thr: 0.7629 loss_db: 0.3756 2022/11/02 13:05:43 - mmengine - INFO - Epoch(train) [82][55/63] lr: 1.6367e-03 eta: 13:13:28 time: 0.5871 data_time: 0.0258 memory: 16395 loss: 3.2135 loss_prob: 2.0639 loss_thr: 0.7802 loss_db: 0.3694 2022/11/02 13:05:47 - mmengine - INFO - Epoch(train) [82][60/63] lr: 1.6367e-03 eta: 13:13:18 time: 0.6552 data_time: 0.0223 memory: 16395 loss: 3.4609 loss_prob: 2.1940 loss_thr: 0.8573 loss_db: 0.4096 2022/11/02 13:05:48 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:05:55 - mmengine - INFO - Epoch(train) [83][5/63] lr: 1.6569e-03 eta: 13:13:18 time: 0.9161 data_time: 0.2080 memory: 16395 loss: 3.4705 loss_prob: 2.2079 loss_thr: 0.8518 loss_db: 0.4107 2022/11/02 13:05:58 - mmengine - INFO - Epoch(train) [83][10/63] lr: 1.6569e-03 eta: 13:13:26 time: 0.9982 data_time: 0.2170 memory: 16395 loss: 3.3121 loss_prob: 2.1084 loss_thr: 0.8286 loss_db: 0.3751 2022/11/02 13:06:01 - mmengine - INFO - Epoch(train) [83][15/63] lr: 1.6569e-03 eta: 13:13:26 time: 0.5889 data_time: 0.0136 memory: 16395 loss: 3.3201 loss_prob: 2.1144 loss_thr: 0.8280 loss_db: 0.3777 2022/11/02 13:06:04 - mmengine - INFO - Epoch(train) [83][20/63] lr: 1.6569e-03 eta: 13:13:13 time: 0.6334 data_time: 0.0053 memory: 16395 loss: 3.4023 loss_prob: 2.1677 loss_thr: 0.8383 loss_db: 0.3963 2022/11/02 13:06:08 - mmengine - INFO - Epoch(train) [83][25/63] lr: 1.6569e-03 eta: 13:13:13 time: 0.6907 data_time: 0.0208 memory: 16395 loss: 3.2668 loss_prob: 2.0901 loss_thr: 0.8035 loss_db: 0.3732 2022/11/02 13:06:10 - mmengine - INFO - Epoch(train) [83][30/63] lr: 1.6569e-03 eta: 13:12:57 time: 0.6050 data_time: 0.0450 memory: 16395 loss: 3.3909 loss_prob: 2.1808 loss_thr: 0.8054 loss_db: 0.4047 2022/11/02 13:06:13 - mmengine - INFO - Epoch(train) [83][35/63] lr: 1.6569e-03 eta: 13:12:57 time: 0.5578 data_time: 0.0290 memory: 16395 loss: 3.6876 loss_prob: 2.3683 loss_thr: 0.8588 loss_db: 0.4605 2022/11/02 13:06:15 - mmengine - INFO - Epoch(train) [83][40/63] lr: 1.6569e-03 eta: 13:12:28 time: 0.5089 data_time: 0.0042 memory: 16395 loss: 3.6159 loss_prob: 2.3132 loss_thr: 0.8533 loss_db: 0.4494 2022/11/02 13:06:18 - mmengine - INFO - Epoch(train) [83][45/63] lr: 1.6569e-03 eta: 13:12:28 time: 0.5130 data_time: 0.0044 memory: 16395 loss: 3.3473 loss_prob: 2.1367 loss_thr: 0.8182 loss_db: 0.3924 2022/11/02 13:06:21 - mmengine - INFO - Epoch(train) [83][50/63] lr: 1.6569e-03 eta: 13:12:07 time: 0.5717 data_time: 0.0135 memory: 16395 loss: 3.1582 loss_prob: 2.0119 loss_thr: 0.8038 loss_db: 0.3425 2022/11/02 13:06:24 - mmengine - INFO - Epoch(train) [83][55/63] lr: 1.6569e-03 eta: 13:12:07 time: 0.5550 data_time: 0.0217 memory: 16395 loss: 3.1976 loss_prob: 2.0251 loss_thr: 0.8115 loss_db: 0.3610 2022/11/02 13:06:27 - mmengine - INFO - Epoch(train) [83][60/63] lr: 1.6569e-03 eta: 13:11:42 time: 0.5392 data_time: 0.0138 memory: 16395 loss: 3.2153 loss_prob: 2.0274 loss_thr: 0.8138 loss_db: 0.3740 2022/11/02 13:06:28 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:06:33 - mmengine - INFO - Epoch(train) [84][5/63] lr: 1.6771e-03 eta: 13:11:42 time: 0.7088 data_time: 0.2007 memory: 16395 loss: 3.6923 loss_prob: 2.3569 loss_thr: 0.8633 loss_db: 0.4721 2022/11/02 13:06:35 - mmengine - INFO - Epoch(train) [84][10/63] lr: 1.6771e-03 eta: 13:11:15 time: 0.7413 data_time: 0.2098 memory: 16395 loss: 3.6060 loss_prob: 2.2978 loss_thr: 0.8609 loss_db: 0.4473 2022/11/02 13:06:39 - mmengine - INFO - Epoch(train) [84][15/63] lr: 1.6771e-03 eta: 13:11:15 time: 0.6184 data_time: 0.0144 memory: 16395 loss: 3.4308 loss_prob: 2.1781 loss_thr: 0.8370 loss_db: 0.4157 2022/11/02 13:06:41 - mmengine - INFO - Epoch(train) [84][20/63] lr: 1.6771e-03 eta: 13:10:59 time: 0.6088 data_time: 0.0052 memory: 16395 loss: 3.5342 loss_prob: 2.2712 loss_thr: 0.8178 loss_db: 0.4452 2022/11/02 13:06:44 - mmengine - INFO - Epoch(train) [84][25/63] lr: 1.6771e-03 eta: 13:10:59 time: 0.5409 data_time: 0.0249 memory: 16395 loss: 3.4862 loss_prob: 2.2605 loss_thr: 0.8013 loss_db: 0.4245 2022/11/02 13:06:47 - mmengine - INFO - Epoch(train) [84][30/63] lr: 1.6771e-03 eta: 13:10:33 time: 0.5309 data_time: 0.0245 memory: 16395 loss: 3.3909 loss_prob: 2.1711 loss_thr: 0.8253 loss_db: 0.3945 2022/11/02 13:06:50 - mmengine - INFO - Epoch(train) [84][35/63] lr: 1.6771e-03 eta: 13:10:33 time: 0.5593 data_time: 0.0129 memory: 16395 loss: 3.2375 loss_prob: 2.0482 loss_thr: 0.8295 loss_db: 0.3597 2022/11/02 13:06:52 - mmengine - INFO - Epoch(train) [84][40/63] lr: 1.6771e-03 eta: 13:10:11 time: 0.5592 data_time: 0.0133 memory: 16395 loss: 3.2532 loss_prob: 2.0578 loss_thr: 0.8230 loss_db: 0.3723 2022/11/02 13:06:55 - mmengine - INFO - Epoch(train) [84][45/63] lr: 1.6771e-03 eta: 13:10:11 time: 0.5157 data_time: 0.0048 memory: 16395 loss: 3.2624 loss_prob: 2.0719 loss_thr: 0.8130 loss_db: 0.3774 2022/11/02 13:06:58 - mmengine - INFO - Epoch(train) [84][50/63] lr: 1.6771e-03 eta: 13:09:48 time: 0.5491 data_time: 0.0240 memory: 16395 loss: 3.1615 loss_prob: 2.0078 loss_thr: 0.8008 loss_db: 0.3529 2022/11/02 13:07:00 - mmengine - INFO - Epoch(train) [84][55/63] lr: 1.6771e-03 eta: 13:09:48 time: 0.5543 data_time: 0.0303 memory: 16395 loss: 3.1364 loss_prob: 2.0020 loss_thr: 0.7789 loss_db: 0.3554 2022/11/02 13:07:03 - mmengine - INFO - Epoch(train) [84][60/63] lr: 1.6771e-03 eta: 13:09:22 time: 0.5293 data_time: 0.0107 memory: 16395 loss: 3.3380 loss_prob: 2.1479 loss_thr: 0.7916 loss_db: 0.3985 2022/11/02 13:07:04 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:07:09 - mmengine - INFO - Epoch(train) [85][5/63] lr: 1.6973e-03 eta: 13:09:22 time: 0.7288 data_time: 0.2071 memory: 16395 loss: 3.2522 loss_prob: 2.0798 loss_thr: 0.8101 loss_db: 0.3623 2022/11/02 13:07:12 - mmengine - INFO - Epoch(train) [85][10/63] lr: 1.6973e-03 eta: 13:09:00 time: 0.7777 data_time: 0.2106 memory: 16395 loss: 3.3718 loss_prob: 2.1579 loss_thr: 0.8296 loss_db: 0.3843 2022/11/02 13:07:15 - mmengine - INFO - Epoch(train) [85][15/63] lr: 1.6973e-03 eta: 13:09:00 time: 0.5657 data_time: 0.0145 memory: 16395 loss: 3.1596 loss_prob: 2.0274 loss_thr: 0.7841 loss_db: 0.3481 2022/11/02 13:07:18 - mmengine - INFO - Epoch(train) [85][20/63] lr: 1.6973e-03 eta: 13:08:35 time: 0.5388 data_time: 0.0171 memory: 16395 loss: 3.1274 loss_prob: 1.9928 loss_thr: 0.7937 loss_db: 0.3409 2022/11/02 13:07:20 - mmengine - INFO - Epoch(train) [85][25/63] lr: 1.6973e-03 eta: 13:08:35 time: 0.5351 data_time: 0.0240 memory: 16395 loss: 3.4283 loss_prob: 2.1884 loss_thr: 0.8305 loss_db: 0.4094 2022/11/02 13:07:23 - mmengine - INFO - Epoch(train) [85][30/63] lr: 1.6973e-03 eta: 13:08:12 time: 0.5490 data_time: 0.0268 memory: 16395 loss: 3.5568 loss_prob: 2.2690 loss_thr: 0.8535 loss_db: 0.4343 2022/11/02 13:07:26 - mmengine - INFO - Epoch(train) [85][35/63] lr: 1.6973e-03 eta: 13:08:12 time: 0.5478 data_time: 0.0138 memory: 16395 loss: 3.3880 loss_prob: 2.1622 loss_thr: 0.8221 loss_db: 0.4037 2022/11/02 13:07:28 - mmengine - INFO - Epoch(train) [85][40/63] lr: 1.6973e-03 eta: 13:07:49 time: 0.5471 data_time: 0.0098 memory: 16395 loss: 3.3751 loss_prob: 2.1573 loss_thr: 0.8174 loss_db: 0.4003 2022/11/02 13:07:31 - mmengine - INFO - Epoch(train) [85][45/63] lr: 1.6973e-03 eta: 13:07:49 time: 0.5366 data_time: 0.0128 memory: 16395 loss: 3.5088 loss_prob: 2.2352 loss_thr: 0.8428 loss_db: 0.4307 2022/11/02 13:07:34 - mmengine - INFO - Epoch(train) [85][50/63] lr: 1.6973e-03 eta: 13:07:24 time: 0.5384 data_time: 0.0162 memory: 16395 loss: 3.5302 loss_prob: 2.2611 loss_thr: 0.8378 loss_db: 0.4313 2022/11/02 13:07:36 - mmengine - INFO - Epoch(train) [85][55/63] lr: 1.6973e-03 eta: 13:07:24 time: 0.5309 data_time: 0.0173 memory: 16395 loss: 3.4553 loss_prob: 2.2085 loss_thr: 0.8376 loss_db: 0.4092 2022/11/02 13:07:39 - mmengine - INFO - Epoch(train) [85][60/63] lr: 1.6973e-03 eta: 13:06:55 time: 0.4991 data_time: 0.0089 memory: 16395 loss: 3.4095 loss_prob: 2.1669 loss_thr: 0.8408 loss_db: 0.4018 2022/11/02 13:07:40 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:07:46 - mmengine - INFO - Epoch(train) [86][5/63] lr: 1.7175e-03 eta: 13:06:55 time: 0.7864 data_time: 0.2423 memory: 16395 loss: 3.2570 loss_prob: 2.0892 loss_thr: 0.7969 loss_db: 0.3710 2022/11/02 13:07:50 - mmengine - INFO - Epoch(train) [86][10/63] lr: 1.7175e-03 eta: 13:07:07 time: 1.0305 data_time: 0.2444 memory: 16395 loss: 3.2028 loss_prob: 2.0606 loss_thr: 0.7813 loss_db: 0.3609 2022/11/02 13:07:54 - mmengine - INFO - Epoch(train) [86][15/63] lr: 1.7175e-03 eta: 13:07:07 time: 0.7779 data_time: 0.0090 memory: 16395 loss: 3.3413 loss_prob: 2.1278 loss_thr: 0.8244 loss_db: 0.3891 2022/11/02 13:07:57 - mmengine - INFO - Epoch(train) [86][20/63] lr: 1.7175e-03 eta: 13:07:00 time: 0.6751 data_time: 0.0064 memory: 16395 loss: 3.4095 loss_prob: 2.1552 loss_thr: 0.8542 loss_db: 0.4001 2022/11/02 13:08:00 - mmengine - INFO - Epoch(train) [86][25/63] lr: 1.7175e-03 eta: 13:07:00 time: 0.6769 data_time: 0.0330 memory: 16395 loss: 3.4128 loss_prob: 2.1848 loss_thr: 0.8281 loss_db: 0.3999 2022/11/02 13:08:04 - mmengine - INFO - Epoch(train) [86][30/63] lr: 1.7175e-03 eta: 13:06:49 time: 0.6337 data_time: 0.0348 memory: 16395 loss: 3.3502 loss_prob: 2.1416 loss_thr: 0.8242 loss_db: 0.3844 2022/11/02 13:08:06 - mmengine - INFO - Epoch(train) [86][35/63] lr: 1.7175e-03 eta: 13:06:49 time: 0.6146 data_time: 0.0077 memory: 16395 loss: 3.1978 loss_prob: 2.0306 loss_thr: 0.8097 loss_db: 0.3575 2022/11/02 13:08:10 - mmengine - INFO - Epoch(train) [86][40/63] lr: 1.7175e-03 eta: 13:06:39 time: 0.6485 data_time: 0.0066 memory: 16395 loss: 3.3200 loss_prob: 2.1098 loss_thr: 0.8276 loss_db: 0.3826 2022/11/02 13:08:13 - mmengine - INFO - Epoch(train) [86][45/63] lr: 1.7175e-03 eta: 13:06:39 time: 0.6611 data_time: 0.0065 memory: 16395 loss: 3.2596 loss_prob: 2.0671 loss_thr: 0.8246 loss_db: 0.3679 2022/11/02 13:08:16 - mmengine - INFO - Epoch(train) [86][50/63] lr: 1.7175e-03 eta: 13:06:19 time: 0.5743 data_time: 0.0191 memory: 16395 loss: 3.3965 loss_prob: 2.1883 loss_thr: 0.8052 loss_db: 0.4031 2022/11/02 13:08:19 - mmengine - INFO - Epoch(train) [86][55/63] lr: 1.7175e-03 eta: 13:06:19 time: 0.6142 data_time: 0.0217 memory: 16395 loss: 3.5854 loss_prob: 2.3185 loss_thr: 0.8231 loss_db: 0.4439 2022/11/02 13:08:23 - mmengine - INFO - Epoch(train) [86][60/63] lr: 1.7175e-03 eta: 13:06:15 time: 0.6879 data_time: 0.0080 memory: 16395 loss: 3.4374 loss_prob: 2.2029 loss_thr: 0.8296 loss_db: 0.4048 2022/11/02 13:08:24 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:08:31 - mmengine - INFO - Epoch(train) [87][5/63] lr: 1.7376e-03 eta: 13:06:15 time: 0.9124 data_time: 0.3033 memory: 16395 loss: 3.7825 loss_prob: 2.4145 loss_thr: 0.8636 loss_db: 0.5044 2022/11/02 13:08:34 - mmengine - INFO - Epoch(train) [87][10/63] lr: 1.7376e-03 eta: 13:06:17 time: 0.9580 data_time: 0.3047 memory: 16395 loss: 3.6589 loss_prob: 2.3624 loss_thr: 0.8314 loss_db: 0.4651 2022/11/02 13:08:37 - mmengine - INFO - Epoch(train) [87][15/63] lr: 1.7376e-03 eta: 13:06:17 time: 0.6580 data_time: 0.0083 memory: 16395 loss: 3.4416 loss_prob: 2.2237 loss_thr: 0.8204 loss_db: 0.3975 2022/11/02 13:08:40 - mmengine - INFO - Epoch(train) [87][20/63] lr: 1.7376e-03 eta: 13:06:01 time: 0.6008 data_time: 0.0088 memory: 16395 loss: 3.3804 loss_prob: 2.1755 loss_thr: 0.8262 loss_db: 0.3786 2022/11/02 13:08:43 - mmengine - INFO - Epoch(train) [87][25/63] lr: 1.7376e-03 eta: 13:06:01 time: 0.5780 data_time: 0.0381 memory: 16395 loss: 3.4285 loss_prob: 2.1841 loss_thr: 0.8460 loss_db: 0.3983 2022/11/02 13:08:46 - mmengine - INFO - Epoch(train) [87][30/63] lr: 1.7376e-03 eta: 13:05:46 time: 0.6071 data_time: 0.0354 memory: 16395 loss: 3.4318 loss_prob: 2.1820 loss_thr: 0.8493 loss_db: 0.4005 2022/11/02 13:08:49 - mmengine - INFO - Epoch(train) [87][35/63] lr: 1.7376e-03 eta: 13:05:46 time: 0.5756 data_time: 0.0091 memory: 16395 loss: 3.2710 loss_prob: 2.0961 loss_thr: 0.8114 loss_db: 0.3635 2022/11/02 13:08:51 - mmengine - INFO - Epoch(train) [87][40/63] lr: 1.7376e-03 eta: 13:05:21 time: 0.5289 data_time: 0.0096 memory: 16395 loss: 3.2110 loss_prob: 2.0576 loss_thr: 0.7946 loss_db: 0.3588 2022/11/02 13:08:54 - mmengine - INFO - Epoch(train) [87][45/63] lr: 1.7376e-03 eta: 13:05:21 time: 0.5257 data_time: 0.0053 memory: 16395 loss: 3.2916 loss_prob: 2.1100 loss_thr: 0.8032 loss_db: 0.3784 2022/11/02 13:08:57 - mmengine - INFO - Epoch(train) [87][50/63] lr: 1.7376e-03 eta: 13:05:01 time: 0.5687 data_time: 0.0197 memory: 16395 loss: 3.2141 loss_prob: 2.0624 loss_thr: 0.7890 loss_db: 0.3627 2022/11/02 13:08:59 - mmengine - INFO - Epoch(train) [87][55/63] lr: 1.7376e-03 eta: 13:05:01 time: 0.5309 data_time: 0.0200 memory: 16395 loss: 3.3273 loss_prob: 2.1235 loss_thr: 0.8170 loss_db: 0.3867 2022/11/02 13:09:02 - mmengine - INFO - Epoch(train) [87][60/63] lr: 1.7376e-03 eta: 13:04:35 time: 0.5262 data_time: 0.0061 memory: 16395 loss: 3.3957 loss_prob: 2.1640 loss_thr: 0.8310 loss_db: 0.4008 2022/11/02 13:09:03 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:09:09 - mmengine - INFO - Epoch(train) [88][5/63] lr: 1.7578e-03 eta: 13:04:35 time: 0.8249 data_time: 0.2292 memory: 16395 loss: 3.2936 loss_prob: 2.1192 loss_thr: 0.7941 loss_db: 0.3803 2022/11/02 13:09:11 - mmengine - INFO - Epoch(train) [88][10/63] lr: 1.7578e-03 eta: 13:04:17 time: 0.8000 data_time: 0.2286 memory: 16395 loss: 3.2763 loss_prob: 2.0972 loss_thr: 0.8037 loss_db: 0.3754 2022/11/02 13:09:14 - mmengine - INFO - Epoch(train) [88][15/63] lr: 1.7578e-03 eta: 13:04:17 time: 0.5340 data_time: 0.0049 memory: 16395 loss: 3.7034 loss_prob: 2.3817 loss_thr: 0.8481 loss_db: 0.4737 2022/11/02 13:09:17 - mmengine - INFO - Epoch(train) [88][20/63] lr: 1.7578e-03 eta: 13:04:00 time: 0.5852 data_time: 0.0049 memory: 16395 loss: 4.1937 loss_prob: 2.6659 loss_thr: 0.9334 loss_db: 0.5944 2022/11/02 13:09:20 - mmengine - INFO - Epoch(train) [88][25/63] lr: 1.7578e-03 eta: 13:04:00 time: 0.5897 data_time: 0.0308 memory: 16395 loss: 4.2388 loss_prob: 2.6851 loss_thr: 0.9555 loss_db: 0.5982 2022/11/02 13:09:23 - mmengine - INFO - Epoch(train) [88][30/63] lr: 1.7578e-03 eta: 13:03:37 time: 0.5451 data_time: 0.0320 memory: 16395 loss: 4.0869 loss_prob: 2.5894 loss_thr: 0.9297 loss_db: 0.5678 2022/11/02 13:09:25 - mmengine - INFO - Epoch(train) [88][35/63] lr: 1.7578e-03 eta: 13:03:37 time: 0.5076 data_time: 0.0059 memory: 16395 loss: 4.1416 loss_prob: 2.6085 loss_thr: 0.9229 loss_db: 0.6103 2022/11/02 13:09:28 - mmengine - INFO - Epoch(train) [88][40/63] lr: 1.7578e-03 eta: 13:03:11 time: 0.5195 data_time: 0.0049 memory: 16395 loss: 4.0320 loss_prob: 2.5656 loss_thr: 0.8886 loss_db: 0.5777 2022/11/02 13:09:31 - mmengine - INFO - Epoch(train) [88][45/63] lr: 1.7578e-03 eta: 13:03:11 time: 0.5403 data_time: 0.0203 memory: 16395 loss: 3.8081 loss_prob: 2.4535 loss_thr: 0.8596 loss_db: 0.4950 2022/11/02 13:09:33 - mmengine - INFO - Epoch(train) [88][50/63] lr: 1.7578e-03 eta: 13:02:48 time: 0.5453 data_time: 0.0210 memory: 16395 loss: 3.5993 loss_prob: 2.3262 loss_thr: 0.8370 loss_db: 0.4361 2022/11/02 13:09:36 - mmengine - INFO - Epoch(train) [88][55/63] lr: 1.7578e-03 eta: 13:02:48 time: 0.5109 data_time: 0.0079 memory: 16395 loss: 3.4840 loss_prob: 2.2676 loss_thr: 0.8025 loss_db: 0.4139 2022/11/02 13:09:39 - mmengine - INFO - Epoch(train) [88][60/63] lr: 1.7578e-03 eta: 13:02:23 time: 0.5222 data_time: 0.0113 memory: 16395 loss: 3.3751 loss_prob: 2.1842 loss_thr: 0.7949 loss_db: 0.3960 2022/11/02 13:09:40 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:09:45 - mmengine - INFO - Epoch(train) [89][5/63] lr: 1.7780e-03 eta: 13:02:23 time: 0.7760 data_time: 0.2475 memory: 16395 loss: 3.2657 loss_prob: 2.0939 loss_thr: 0.7972 loss_db: 0.3745 2022/11/02 13:09:48 - mmengine - INFO - Epoch(train) [89][10/63] lr: 1.7780e-03 eta: 13:02:03 time: 0.7804 data_time: 0.2473 memory: 16395 loss: 3.2461 loss_prob: 2.0809 loss_thr: 0.7945 loss_db: 0.3707 2022/11/02 13:09:51 - mmengine - INFO - Epoch(train) [89][15/63] lr: 1.7780e-03 eta: 13:02:03 time: 0.5321 data_time: 0.0048 memory: 16395 loss: 3.2778 loss_prob: 2.1053 loss_thr: 0.7930 loss_db: 0.3795 2022/11/02 13:09:53 - mmengine - INFO - Epoch(train) [89][20/63] lr: 1.7780e-03 eta: 13:01:38 time: 0.5250 data_time: 0.0048 memory: 16395 loss: 3.2112 loss_prob: 2.0664 loss_thr: 0.7784 loss_db: 0.3665 2022/11/02 13:09:56 - mmengine - INFO - Epoch(train) [89][25/63] lr: 1.7780e-03 eta: 13:01:38 time: 0.5231 data_time: 0.0044 memory: 16395 loss: 3.2923 loss_prob: 2.1149 loss_thr: 0.7891 loss_db: 0.3882 2022/11/02 13:09:59 - mmengine - INFO - Epoch(train) [89][30/63] lr: 1.7780e-03 eta: 13:01:18 time: 0.5650 data_time: 0.0213 memory: 16395 loss: 3.1922 loss_prob: 2.0419 loss_thr: 0.7845 loss_db: 0.3658 2022/11/02 13:10:01 - mmengine - INFO - Epoch(train) [89][35/63] lr: 1.7780e-03 eta: 13:01:18 time: 0.5395 data_time: 0.0212 memory: 16395 loss: 3.5711 loss_prob: 2.2777 loss_thr: 0.8410 loss_db: 0.4524 2022/11/02 13:10:04 - mmengine - INFO - Epoch(train) [89][40/63] lr: 1.7780e-03 eta: 13:00:50 time: 0.4975 data_time: 0.0042 memory: 16395 loss: 3.5524 loss_prob: 2.2727 loss_thr: 0.8330 loss_db: 0.4467 2022/11/02 13:10:07 - mmengine - INFO - Epoch(train) [89][45/63] lr: 1.7780e-03 eta: 13:00:50 time: 0.5184 data_time: 0.0041 memory: 16395 loss: 3.1947 loss_prob: 2.0409 loss_thr: 0.7975 loss_db: 0.3563 2022/11/02 13:10:10 - mmengine - INFO - Epoch(train) [89][50/63] lr: 1.7780e-03 eta: 13:00:31 time: 0.5728 data_time: 0.0041 memory: 16395 loss: 3.3528 loss_prob: 2.1284 loss_thr: 0.8341 loss_db: 0.3903 2022/11/02 13:10:12 - mmengine - INFO - Epoch(train) [89][55/63] lr: 1.7780e-03 eta: 13:00:31 time: 0.5863 data_time: 0.0396 memory: 16395 loss: 3.4309 loss_prob: 2.1829 loss_thr: 0.8330 loss_db: 0.4150 2022/11/02 13:10:15 - mmengine - INFO - Epoch(train) [89][60/63] lr: 1.7780e-03 eta: 13:00:07 time: 0.5302 data_time: 0.0399 memory: 16395 loss: 3.2676 loss_prob: 2.0868 loss_thr: 0.8014 loss_db: 0.3794 2022/11/02 13:10:16 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:10:21 - mmengine - INFO - Epoch(train) [90][5/63] lr: 1.7982e-03 eta: 13:00:07 time: 0.7397 data_time: 0.2299 memory: 16395 loss: 3.1138 loss_prob: 1.9822 loss_thr: 0.7943 loss_db: 0.3373 2022/11/02 13:10:25 - mmengine - INFO - Epoch(train) [90][10/63] lr: 1.7982e-03 eta: 12:59:56 time: 0.8518 data_time: 0.2295 memory: 16395 loss: 3.2994 loss_prob: 2.1089 loss_thr: 0.8110 loss_db: 0.3795 2022/11/02 13:10:28 - mmengine - INFO - Epoch(train) [90][15/63] lr: 1.7982e-03 eta: 12:59:56 time: 0.6979 data_time: 0.0094 memory: 16395 loss: 3.5852 loss_prob: 2.2964 loss_thr: 0.8505 loss_db: 0.4383 2022/11/02 13:10:31 - mmengine - INFO - Epoch(train) [90][20/63] lr: 1.7982e-03 eta: 12:59:44 time: 0.6249 data_time: 0.0092 memory: 16395 loss: 3.4506 loss_prob: 2.2093 loss_thr: 0.8307 loss_db: 0.4106 2022/11/02 13:10:34 - mmengine - INFO - Epoch(train) [90][25/63] lr: 1.7982e-03 eta: 12:59:44 time: 0.6251 data_time: 0.0179 memory: 16395 loss: 3.2804 loss_prob: 2.0979 loss_thr: 0.8008 loss_db: 0.3817 2022/11/02 13:10:37 - mmengine - INFO - Epoch(train) [90][30/63] lr: 1.7982e-03 eta: 12:59:35 time: 0.6523 data_time: 0.0332 memory: 16395 loss: 3.3298 loss_prob: 2.1282 loss_thr: 0.8090 loss_db: 0.3926 2022/11/02 13:10:40 - mmengine - INFO - Epoch(train) [90][35/63] lr: 1.7982e-03 eta: 12:59:35 time: 0.5743 data_time: 0.0202 memory: 16395 loss: 3.2355 loss_prob: 2.0681 loss_thr: 0.7951 loss_db: 0.3723 2022/11/02 13:10:43 - mmengine - INFO - Epoch(train) [90][40/63] lr: 1.7982e-03 eta: 12:59:16 time: 0.5621 data_time: 0.0155 memory: 16395 loss: 3.2266 loss_prob: 2.0490 loss_thr: 0.8134 loss_db: 0.3641 2022/11/02 13:10:46 - mmengine - INFO - Epoch(train) [90][45/63] lr: 1.7982e-03 eta: 12:59:16 time: 0.5875 data_time: 0.0151 memory: 16395 loss: 3.3635 loss_prob: 2.1178 loss_thr: 0.8536 loss_db: 0.3922 2022/11/02 13:10:50 - mmengine - INFO - Epoch(train) [90][50/63] lr: 1.7982e-03 eta: 12:59:06 time: 0.6485 data_time: 0.0159 memory: 16395 loss: 3.2451 loss_prob: 2.0379 loss_thr: 0.8339 loss_db: 0.3733 2022/11/02 13:10:53 - mmengine - INFO - Epoch(train) [90][55/63] lr: 1.7982e-03 eta: 12:59:06 time: 0.6450 data_time: 0.0243 memory: 16395 loss: 3.2241 loss_prob: 2.0483 loss_thr: 0.8065 loss_db: 0.3693 2022/11/02 13:10:56 - mmengine - INFO - Epoch(train) [90][60/63] lr: 1.7982e-03 eta: 12:58:56 time: 0.6351 data_time: 0.0156 memory: 16395 loss: 3.5352 loss_prob: 2.2699 loss_thr: 0.8230 loss_db: 0.4424 2022/11/02 13:10:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:11:04 - mmengine - INFO - Epoch(train) [91][5/63] lr: 1.8184e-03 eta: 12:58:56 time: 0.9141 data_time: 0.2346 memory: 16395 loss: 3.4818 loss_prob: 2.2299 loss_thr: 0.8356 loss_db: 0.4164 2022/11/02 13:11:08 - mmengine - INFO - Epoch(train) [91][10/63] lr: 1.8184e-03 eta: 12:58:55 time: 0.9378 data_time: 0.2360 memory: 16395 loss: 3.5196 loss_prob: 2.2683 loss_thr: 0.8347 loss_db: 0.4166 2022/11/02 13:11:10 - mmengine - INFO - Epoch(train) [91][15/63] lr: 1.8184e-03 eta: 12:58:55 time: 0.6362 data_time: 0.0096 memory: 16395 loss: 3.4658 loss_prob: 2.2298 loss_thr: 0.8298 loss_db: 0.4062 2022/11/02 13:11:13 - mmengine - INFO - Epoch(train) [91][20/63] lr: 1.8184e-03 eta: 12:58:32 time: 0.5314 data_time: 0.0055 memory: 16395 loss: 3.3320 loss_prob: 2.1391 loss_thr: 0.8059 loss_db: 0.3869 2022/11/02 13:11:16 - mmengine - INFO - Epoch(train) [91][25/63] lr: 1.8184e-03 eta: 12:58:32 time: 0.6019 data_time: 0.0334 memory: 16395 loss: 3.3389 loss_prob: 2.1364 loss_thr: 0.8140 loss_db: 0.3885 2022/11/02 13:11:19 - mmengine - INFO - Epoch(train) [91][30/63] lr: 1.8184e-03 eta: 12:58:18 time: 0.6102 data_time: 0.0364 memory: 16395 loss: 3.4754 loss_prob: 2.2201 loss_thr: 0.8448 loss_db: 0.4104 2022/11/02 13:11:21 - mmengine - INFO - Epoch(train) [91][35/63] lr: 1.8184e-03 eta: 12:58:18 time: 0.5116 data_time: 0.0078 memory: 16395 loss: 3.5943 loss_prob: 2.3233 loss_thr: 0.8360 loss_db: 0.4349 2022/11/02 13:11:24 - mmengine - INFO - Epoch(train) [91][40/63] lr: 1.8184e-03 eta: 12:57:52 time: 0.5062 data_time: 0.0046 memory: 16395 loss: 3.4528 loss_prob: 2.2319 loss_thr: 0.8046 loss_db: 0.4163 2022/11/02 13:11:27 - mmengine - INFO - Epoch(train) [91][45/63] lr: 1.8184e-03 eta: 12:57:52 time: 0.5344 data_time: 0.0057 memory: 16395 loss: 3.3988 loss_prob: 2.1963 loss_thr: 0.7955 loss_db: 0.4070 2022/11/02 13:11:30 - mmengine - INFO - Epoch(train) [91][50/63] lr: 1.8184e-03 eta: 12:57:35 time: 0.5852 data_time: 0.0212 memory: 16395 loss: 3.8170 loss_prob: 2.4432 loss_thr: 0.8631 loss_db: 0.5107 2022/11/02 13:11:33 - mmengine - INFO - Epoch(train) [91][55/63] lr: 1.8184e-03 eta: 12:57:35 time: 0.6088 data_time: 0.0215 memory: 16395 loss: 3.8067 loss_prob: 2.4084 loss_thr: 0.8839 loss_db: 0.5144 2022/11/02 13:11:36 - mmengine - INFO - Epoch(train) [91][60/63] lr: 1.8184e-03 eta: 12:57:15 time: 0.5635 data_time: 0.0062 memory: 16395 loss: 3.5287 loss_prob: 2.2587 loss_thr: 0.8404 loss_db: 0.4296 2022/11/02 13:11:37 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:11:41 - mmengine - INFO - Epoch(train) [92][5/63] lr: 1.8385e-03 eta: 12:57:15 time: 0.6378 data_time: 0.1701 memory: 16395 loss: 3.5395 loss_prob: 2.2679 loss_thr: 0.8294 loss_db: 0.4422 2022/11/02 13:11:44 - mmengine - INFO - Epoch(train) [92][10/63] lr: 1.8385e-03 eta: 12:56:43 time: 0.6732 data_time: 0.1755 memory: 16395 loss: 3.6867 loss_prob: 2.3536 loss_thr: 0.8604 loss_db: 0.4727 2022/11/02 13:11:46 - mmengine - INFO - Epoch(train) [92][15/63] lr: 1.8385e-03 eta: 12:56:43 time: 0.5265 data_time: 0.0115 memory: 16395 loss: 3.4980 loss_prob: 2.2145 loss_thr: 0.8614 loss_db: 0.4221 2022/11/02 13:11:49 - mmengine - INFO - Epoch(train) [92][20/63] lr: 1.8385e-03 eta: 12:56:18 time: 0.5115 data_time: 0.0066 memory: 16395 loss: 3.3284 loss_prob: 2.1053 loss_thr: 0.8432 loss_db: 0.3799 2022/11/02 13:11:51 - mmengine - INFO - Epoch(train) [92][25/63] lr: 1.8385e-03 eta: 12:56:18 time: 0.5047 data_time: 0.0143 memory: 16395 loss: 3.2677 loss_prob: 2.0800 loss_thr: 0.8140 loss_db: 0.3737 2022/11/02 13:11:54 - mmengine - INFO - Epoch(train) [92][30/63] lr: 1.8385e-03 eta: 12:55:57 time: 0.5560 data_time: 0.0239 memory: 16395 loss: 3.1082 loss_prob: 1.9904 loss_thr: 0.7759 loss_db: 0.3419 2022/11/02 13:11:57 - mmengine - INFO - Epoch(train) [92][35/63] lr: 1.8385e-03 eta: 12:55:57 time: 0.5505 data_time: 0.0249 memory: 16395 loss: 3.0558 loss_prob: 1.9487 loss_thr: 0.7780 loss_db: 0.3291 2022/11/02 13:12:00 - mmengine - INFO - Epoch(train) [92][40/63] lr: 1.8385e-03 eta: 12:55:39 time: 0.5651 data_time: 0.0137 memory: 16395 loss: 3.1422 loss_prob: 2.0005 loss_thr: 0.7981 loss_db: 0.3436 2022/11/02 13:12:03 - mmengine - INFO - Epoch(train) [92][45/63] lr: 1.8385e-03 eta: 12:55:39 time: 0.5889 data_time: 0.0078 memory: 16395 loss: 3.2444 loss_prob: 2.0748 loss_thr: 0.8047 loss_db: 0.3649 2022/11/02 13:12:06 - mmengine - INFO - Epoch(train) [92][50/63] lr: 1.8385e-03 eta: 12:55:21 time: 0.5808 data_time: 0.0194 memory: 16395 loss: 3.3075 loss_prob: 2.1261 loss_thr: 0.7932 loss_db: 0.3882 2022/11/02 13:12:08 - mmengine - INFO - Epoch(train) [92][55/63] lr: 1.8385e-03 eta: 12:55:21 time: 0.5733 data_time: 0.0279 memory: 16395 loss: 3.4479 loss_prob: 2.2061 loss_thr: 0.8272 loss_db: 0.4145 2022/11/02 13:12:11 - mmengine - INFO - Epoch(train) [92][60/63] lr: 1.8385e-03 eta: 12:54:58 time: 0.5289 data_time: 0.0157 memory: 16395 loss: 3.3223 loss_prob: 2.1109 loss_thr: 0.8271 loss_db: 0.3843 2022/11/02 13:12:12 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:12:17 - mmengine - INFO - Epoch(train) [93][5/63] lr: 1.8587e-03 eta: 12:54:58 time: 0.7039 data_time: 0.1866 memory: 16395 loss: 3.1393 loss_prob: 1.9744 loss_thr: 0.8163 loss_db: 0.3486 2022/11/02 13:12:20 - mmengine - INFO - Epoch(train) [93][10/63] lr: 1.8587e-03 eta: 12:54:39 time: 0.7739 data_time: 0.1946 memory: 16395 loss: 3.0409 loss_prob: 1.9413 loss_thr: 0.7639 loss_db: 0.3357 2022/11/02 13:12:23 - mmengine - INFO - Epoch(train) [93][15/63] lr: 1.8587e-03 eta: 12:54:39 time: 0.5736 data_time: 0.0164 memory: 16395 loss: 3.0233 loss_prob: 1.9349 loss_thr: 0.7535 loss_db: 0.3349 2022/11/02 13:12:26 - mmengine - INFO - Epoch(train) [93][20/63] lr: 1.8587e-03 eta: 12:54:21 time: 0.5745 data_time: 0.0051 memory: 16395 loss: 3.3060 loss_prob: 2.1214 loss_thr: 0.7937 loss_db: 0.3908 2022/11/02 13:12:29 - mmengine - INFO - Epoch(train) [93][25/63] lr: 1.8587e-03 eta: 12:54:21 time: 0.6013 data_time: 0.0238 memory: 16395 loss: 3.4781 loss_prob: 2.2052 loss_thr: 0.8422 loss_db: 0.4307 2022/11/02 13:12:32 - mmengine - INFO - Epoch(train) [93][30/63] lr: 1.8587e-03 eta: 12:54:06 time: 0.5935 data_time: 0.0278 memory: 16395 loss: 3.4831 loss_prob: 2.2174 loss_thr: 0.8442 loss_db: 0.4215 2022/11/02 13:12:34 - mmengine - INFO - Epoch(train) [93][35/63] lr: 1.8587e-03 eta: 12:54:06 time: 0.5617 data_time: 0.0155 memory: 16395 loss: 3.5081 loss_prob: 2.2591 loss_thr: 0.8271 loss_db: 0.4219 2022/11/02 13:12:37 - mmengine - INFO - Epoch(train) [93][40/63] lr: 1.8587e-03 eta: 12:53:45 time: 0.5516 data_time: 0.0116 memory: 16395 loss: 3.5505 loss_prob: 2.2756 loss_thr: 0.8464 loss_db: 0.4285 2022/11/02 13:12:40 - mmengine - INFO - Epoch(train) [93][45/63] lr: 1.8587e-03 eta: 12:53:45 time: 0.5407 data_time: 0.0047 memory: 16395 loss: 3.4690 loss_prob: 2.2083 loss_thr: 0.8628 loss_db: 0.3978 2022/11/02 13:12:43 - mmengine - INFO - Epoch(train) [93][50/63] lr: 1.8587e-03 eta: 12:53:26 time: 0.5559 data_time: 0.0188 memory: 16395 loss: 3.3366 loss_prob: 2.1135 loss_thr: 0.8437 loss_db: 0.3794 2022/11/02 13:12:45 - mmengine - INFO - Epoch(train) [93][55/63] lr: 1.8587e-03 eta: 12:53:26 time: 0.5727 data_time: 0.0219 memory: 16395 loss: 3.2015 loss_prob: 2.0471 loss_thr: 0.7902 loss_db: 0.3642 2022/11/02 13:12:48 - mmengine - INFO - Epoch(train) [93][60/63] lr: 1.8587e-03 eta: 12:53:04 time: 0.5403 data_time: 0.0104 memory: 16395 loss: 3.2694 loss_prob: 2.0901 loss_thr: 0.7948 loss_db: 0.3845 2022/11/02 13:12:50 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:12:54 - mmengine - INFO - Epoch(train) [94][5/63] lr: 1.8789e-03 eta: 12:53:04 time: 0.7304 data_time: 0.2300 memory: 16395 loss: 3.0391 loss_prob: 1.9167 loss_thr: 0.7879 loss_db: 0.3346 2022/11/02 13:12:57 - mmengine - INFO - Epoch(train) [94][10/63] lr: 1.8789e-03 eta: 12:52:43 time: 0.7563 data_time: 0.2303 memory: 16395 loss: 3.0251 loss_prob: 1.9060 loss_thr: 0.7931 loss_db: 0.3261 2022/11/02 13:13:01 - mmengine - INFO - Epoch(train) [94][15/63] lr: 1.8789e-03 eta: 12:52:43 time: 0.6916 data_time: 0.0052 memory: 16395 loss: 3.1407 loss_prob: 1.9864 loss_thr: 0.8185 loss_db: 0.3358 2022/11/02 13:13:05 - mmengine - INFO - Epoch(train) [94][20/63] lr: 1.8789e-03 eta: 12:52:45 time: 0.7389 data_time: 0.0047 memory: 16395 loss: 3.1584 loss_prob: 2.0039 loss_thr: 0.8084 loss_db: 0.3461 2022/11/02 13:13:08 - mmengine - INFO - Epoch(train) [94][25/63] lr: 1.8789e-03 eta: 12:52:45 time: 0.6950 data_time: 0.0163 memory: 16395 loss: 3.2683 loss_prob: 2.0694 loss_thr: 0.8248 loss_db: 0.3741 2022/11/02 13:13:11 - mmengine - INFO - Epoch(train) [94][30/63] lr: 1.8789e-03 eta: 12:52:40 time: 0.6811 data_time: 0.0367 memory: 16395 loss: 3.5138 loss_prob: 2.2355 loss_thr: 0.8567 loss_db: 0.4217 2022/11/02 13:13:14 - mmengine - INFO - Epoch(train) [94][35/63] lr: 1.8789e-03 eta: 12:52:40 time: 0.5779 data_time: 0.0247 memory: 16395 loss: 3.4365 loss_prob: 2.2034 loss_thr: 0.8265 loss_db: 0.4067 2022/11/02 13:13:17 - mmengine - INFO - Epoch(train) [94][40/63] lr: 1.8789e-03 eta: 12:52:17 time: 0.5270 data_time: 0.0043 memory: 16395 loss: 3.4454 loss_prob: 2.2202 loss_thr: 0.8289 loss_db: 0.3962 2022/11/02 13:13:19 - mmengine - INFO - Epoch(train) [94][45/63] lr: 1.8789e-03 eta: 12:52:17 time: 0.5301 data_time: 0.0045 memory: 16395 loss: 3.5416 loss_prob: 2.2675 loss_thr: 0.8548 loss_db: 0.4193 2022/11/02 13:13:22 - mmengine - INFO - Epoch(train) [94][50/63] lr: 1.8789e-03 eta: 12:51:59 time: 0.5684 data_time: 0.0217 memory: 16395 loss: 3.3743 loss_prob: 2.1591 loss_thr: 0.8251 loss_db: 0.3900 2022/11/02 13:13:25 - mmengine - INFO - Epoch(train) [94][55/63] lr: 1.8789e-03 eta: 12:51:59 time: 0.5556 data_time: 0.0221 memory: 16395 loss: 3.2325 loss_prob: 2.0576 loss_thr: 0.8183 loss_db: 0.3566 2022/11/02 13:13:28 - mmengine - INFO - Epoch(train) [94][60/63] lr: 1.8789e-03 eta: 12:51:37 time: 0.5343 data_time: 0.0051 memory: 16395 loss: 3.2743 loss_prob: 2.0812 loss_thr: 0.8185 loss_db: 0.3746 2022/11/02 13:13:29 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:13:34 - mmengine - INFO - Epoch(train) [95][5/63] lr: 1.8991e-03 eta: 12:51:37 time: 0.7466 data_time: 0.2141 memory: 16395 loss: 3.3350 loss_prob: 2.1625 loss_thr: 0.7720 loss_db: 0.4005 2022/11/02 13:13:38 - mmengine - INFO - Epoch(train) [95][10/63] lr: 1.8991e-03 eta: 12:51:27 time: 0.8522 data_time: 0.2228 memory: 16395 loss: 3.5001 loss_prob: 2.2481 loss_thr: 0.8047 loss_db: 0.4472 2022/11/02 13:13:42 - mmengine - INFO - Epoch(train) [95][15/63] lr: 1.8991e-03 eta: 12:51:27 time: 0.7980 data_time: 0.0145 memory: 16395 loss: 3.5420 loss_prob: 2.2771 loss_thr: 0.8225 loss_db: 0.4424 2022/11/02 13:13:45 - mmengine - INFO - Epoch(train) [95][20/63] lr: 1.8991e-03 eta: 12:51:35 time: 0.7892 data_time: 0.0053 memory: 16395 loss: 3.4107 loss_prob: 2.2111 loss_thr: 0.8003 loss_db: 0.3993 2022/11/02 13:13:49 - mmengine - INFO - Epoch(train) [95][25/63] lr: 1.8991e-03 eta: 12:51:35 time: 0.6895 data_time: 0.0057 memory: 16395 loss: 3.2062 loss_prob: 2.0503 loss_thr: 0.7927 loss_db: 0.3632 2022/11/02 13:13:52 - mmengine - INFO - Epoch(train) [95][30/63] lr: 1.8991e-03 eta: 12:51:33 time: 0.7029 data_time: 0.0408 memory: 16395 loss: 3.1793 loss_prob: 2.0332 loss_thr: 0.7902 loss_db: 0.3559 2022/11/02 13:13:55 - mmengine - INFO - Epoch(train) [95][35/63] lr: 1.8991e-03 eta: 12:51:33 time: 0.6495 data_time: 0.0446 memory: 16395 loss: 3.2574 loss_prob: 2.0930 loss_thr: 0.7900 loss_db: 0.3744 2022/11/02 13:13:58 - mmengine - INFO - Epoch(train) [95][40/63] lr: 1.8991e-03 eta: 12:51:11 time: 0.5379 data_time: 0.0095 memory: 16395 loss: 3.2134 loss_prob: 2.0570 loss_thr: 0.7851 loss_db: 0.3713 2022/11/02 13:14:01 - mmengine - INFO - Epoch(train) [95][45/63] lr: 1.8991e-03 eta: 12:51:11 time: 0.5399 data_time: 0.0050 memory: 16395 loss: 3.3259 loss_prob: 2.1238 loss_thr: 0.8145 loss_db: 0.3877 2022/11/02 13:14:03 - mmengine - INFO - Epoch(train) [95][50/63] lr: 1.8991e-03 eta: 12:50:52 time: 0.5539 data_time: 0.0150 memory: 16395 loss: 3.1785 loss_prob: 2.0157 loss_thr: 0.8063 loss_db: 0.3564 2022/11/02 13:14:06 - mmengine - INFO - Epoch(train) [95][55/63] lr: 1.8991e-03 eta: 12:50:52 time: 0.5240 data_time: 0.0199 memory: 16395 loss: 3.0331 loss_prob: 1.9163 loss_thr: 0.7886 loss_db: 0.3283 2022/11/02 13:14:09 - mmengine - INFO - Epoch(train) [95][60/63] lr: 1.8991e-03 eta: 12:50:28 time: 0.5158 data_time: 0.0123 memory: 16395 loss: 3.1876 loss_prob: 2.0207 loss_thr: 0.8065 loss_db: 0.3604 2022/11/02 13:14:10 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:14:15 - mmengine - INFO - Epoch(train) [96][5/63] lr: 1.9193e-03 eta: 12:50:28 time: 0.7562 data_time: 0.2123 memory: 16395 loss: 3.1539 loss_prob: 2.0137 loss_thr: 0.7882 loss_db: 0.3520 2022/11/02 13:14:18 - mmengine - INFO - Epoch(train) [96][10/63] lr: 1.9193e-03 eta: 12:50:08 time: 0.7695 data_time: 0.2150 memory: 16395 loss: 3.1484 loss_prob: 2.0120 loss_thr: 0.7803 loss_db: 0.3561 2022/11/02 13:14:21 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:14:21 - mmengine - INFO - Epoch(train) [96][15/63] lr: 1.9193e-03 eta: 12:50:08 time: 0.5542 data_time: 0.0084 memory: 16395 loss: 3.2549 loss_prob: 2.0851 loss_thr: 0.8005 loss_db: 0.3693 2022/11/02 13:14:23 - mmengine - INFO - Epoch(train) [96][20/63] lr: 1.9193e-03 eta: 12:49:50 time: 0.5600 data_time: 0.0064 memory: 16395 loss: 3.2869 loss_prob: 2.1043 loss_thr: 0.8065 loss_db: 0.3761 2022/11/02 13:14:27 - mmengine - INFO - Epoch(train) [96][25/63] lr: 1.9193e-03 eta: 12:49:50 time: 0.5979 data_time: 0.0190 memory: 16395 loss: 3.4334 loss_prob: 2.2058 loss_thr: 0.8171 loss_db: 0.4105 2022/11/02 13:14:29 - mmengine - INFO - Epoch(train) [96][30/63] lr: 1.9193e-03 eta: 12:49:36 time: 0.6017 data_time: 0.0348 memory: 16395 loss: 3.3739 loss_prob: 2.1673 loss_thr: 0.8071 loss_db: 0.3995 2022/11/02 13:14:32 - mmengine - INFO - Epoch(train) [96][35/63] lr: 1.9193e-03 eta: 12:49:36 time: 0.5382 data_time: 0.0235 memory: 16395 loss: 3.1050 loss_prob: 1.9779 loss_thr: 0.7811 loss_db: 0.3461 2022/11/02 13:14:35 - mmengine - INFO - Epoch(train) [96][40/63] lr: 1.9193e-03 eta: 12:49:11 time: 0.5094 data_time: 0.0067 memory: 16395 loss: 3.1615 loss_prob: 2.0062 loss_thr: 0.7995 loss_db: 0.3558 2022/11/02 13:14:37 - mmengine - INFO - Epoch(train) [96][45/63] lr: 1.9193e-03 eta: 12:49:11 time: 0.5025 data_time: 0.0044 memory: 16395 loss: 3.4078 loss_prob: 2.1686 loss_thr: 0.8442 loss_db: 0.3951 2022/11/02 13:14:40 - mmengine - INFO - Epoch(train) [96][50/63] lr: 1.9193e-03 eta: 12:48:49 time: 0.5285 data_time: 0.0131 memory: 16395 loss: 3.4148 loss_prob: 2.1800 loss_thr: 0.8409 loss_db: 0.3939 2022/11/02 13:14:42 - mmengine - INFO - Epoch(train) [96][55/63] lr: 1.9193e-03 eta: 12:48:49 time: 0.5286 data_time: 0.0203 memory: 16395 loss: 3.1238 loss_prob: 1.9900 loss_thr: 0.7865 loss_db: 0.3473 2022/11/02 13:14:45 - mmengine - INFO - Epoch(train) [96][60/63] lr: 1.9193e-03 eta: 12:48:26 time: 0.5220 data_time: 0.0141 memory: 16395 loss: 3.0445 loss_prob: 1.9192 loss_thr: 0.7982 loss_db: 0.3272 2022/11/02 13:14:46 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:14:52 - mmengine - INFO - Epoch(train) [97][5/63] lr: 1.9395e-03 eta: 12:48:26 time: 0.7841 data_time: 0.2383 memory: 16395 loss: 3.1290 loss_prob: 1.9755 loss_thr: 0.8119 loss_db: 0.3416 2022/11/02 13:14:55 - mmengine - INFO - Epoch(train) [97][10/63] lr: 1.9395e-03 eta: 12:48:14 time: 0.8255 data_time: 0.2427 memory: 16395 loss: 3.1429 loss_prob: 2.0016 loss_thr: 0.7886 loss_db: 0.3527 2022/11/02 13:14:57 - mmengine - INFO - Epoch(train) [97][15/63] lr: 1.9395e-03 eta: 12:48:14 time: 0.5199 data_time: 0.0094 memory: 16395 loss: 2.8668 loss_prob: 1.8038 loss_thr: 0.7623 loss_db: 0.3007 2022/11/02 13:15:00 - mmengine - INFO - Epoch(train) [97][20/63] lr: 1.9395e-03 eta: 12:47:47 time: 0.4916 data_time: 0.0069 memory: 16395 loss: 3.0708 loss_prob: 1.9395 loss_thr: 0.8015 loss_db: 0.3298 2022/11/02 13:15:02 - mmengine - INFO - Epoch(train) [97][25/63] lr: 1.9395e-03 eta: 12:47:47 time: 0.5180 data_time: 0.0183 memory: 16395 loss: 3.1424 loss_prob: 1.9963 loss_thr: 0.7987 loss_db: 0.3474 2022/11/02 13:15:05 - mmengine - INFO - Epoch(train) [97][30/63] lr: 1.9395e-03 eta: 12:47:27 time: 0.5472 data_time: 0.0289 memory: 16395 loss: 3.1568 loss_prob: 2.0070 loss_thr: 0.7983 loss_db: 0.3515 2022/11/02 13:15:08 - mmengine - INFO - Epoch(train) [97][35/63] lr: 1.9395e-03 eta: 12:47:27 time: 0.5585 data_time: 0.0203 memory: 16395 loss: 3.3887 loss_prob: 2.1296 loss_thr: 0.8605 loss_db: 0.3987 2022/11/02 13:15:10 - mmengine - INFO - Epoch(train) [97][40/63] lr: 1.9395e-03 eta: 12:47:06 time: 0.5338 data_time: 0.0078 memory: 16395 loss: 3.2763 loss_prob: 2.0566 loss_thr: 0.8294 loss_db: 0.3903 2022/11/02 13:15:13 - mmengine - INFO - Epoch(train) [97][45/63] lr: 1.9395e-03 eta: 12:47:06 time: 0.5169 data_time: 0.0066 memory: 16395 loss: 3.4046 loss_prob: 2.1832 loss_thr: 0.8005 loss_db: 0.4209 2022/11/02 13:15:16 - mmengine - INFO - Epoch(train) [97][50/63] lr: 1.9395e-03 eta: 12:46:45 time: 0.5348 data_time: 0.0137 memory: 16395 loss: 3.5469 loss_prob: 2.2616 loss_thr: 0.8443 loss_db: 0.4410 2022/11/02 13:15:18 - mmengine - INFO - Epoch(train) [97][55/63] lr: 1.9395e-03 eta: 12:46:45 time: 0.5371 data_time: 0.0202 memory: 16395 loss: 3.2683 loss_prob: 2.0671 loss_thr: 0.8262 loss_db: 0.3749 2022/11/02 13:15:21 - mmengine - INFO - Epoch(train) [97][60/63] lr: 1.9395e-03 eta: 12:46:23 time: 0.5296 data_time: 0.0161 memory: 16395 loss: 3.0491 loss_prob: 1.9321 loss_thr: 0.7842 loss_db: 0.3328 2022/11/02 13:15:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:15:28 - mmengine - INFO - Epoch(train) [98][5/63] lr: 1.9596e-03 eta: 12:46:23 time: 0.7929 data_time: 0.2773 memory: 16395 loss: 3.2488 loss_prob: 2.0890 loss_thr: 0.7865 loss_db: 0.3733 2022/11/02 13:15:30 - mmengine - INFO - Epoch(train) [98][10/63] lr: 1.9596e-03 eta: 12:46:09 time: 0.8121 data_time: 0.2741 memory: 16395 loss: 3.3846 loss_prob: 2.1691 loss_thr: 0.8060 loss_db: 0.4095 2022/11/02 13:15:33 - mmengine - INFO - Epoch(train) [98][15/63] lr: 1.9596e-03 eta: 12:46:09 time: 0.5393 data_time: 0.0054 memory: 16395 loss: 3.2832 loss_prob: 2.0834 loss_thr: 0.8227 loss_db: 0.3770 2022/11/02 13:15:37 - mmengine - INFO - Epoch(train) [98][20/63] lr: 1.9596e-03 eta: 12:46:02 time: 0.6518 data_time: 0.0051 memory: 16395 loss: 3.0080 loss_prob: 1.9057 loss_thr: 0.7831 loss_db: 0.3193 2022/11/02 13:15:40 - mmengine - INFO - Epoch(train) [98][25/63] lr: 1.9596e-03 eta: 12:46:02 time: 0.7188 data_time: 0.0369 memory: 16395 loss: 3.0204 loss_prob: 1.9093 loss_thr: 0.7853 loss_db: 0.3258 2022/11/02 13:15:44 - mmengine - INFO - Epoch(train) [98][30/63] lr: 1.9596e-03 eta: 12:45:56 time: 0.6709 data_time: 0.0372 memory: 16395 loss: 2.9521 loss_prob: 1.8648 loss_thr: 0.7722 loss_db: 0.3152 2022/11/02 13:15:47 - mmengine - INFO - Epoch(train) [98][35/63] lr: 1.9596e-03 eta: 12:45:56 time: 0.6358 data_time: 0.0048 memory: 16395 loss: 3.1351 loss_prob: 2.0122 loss_thr: 0.7606 loss_db: 0.3623 2022/11/02 13:15:49 - mmengine - INFO - Epoch(train) [98][40/63] lr: 1.9596e-03 eta: 12:45:36 time: 0.5472 data_time: 0.0045 memory: 16395 loss: 3.2530 loss_prob: 2.1033 loss_thr: 0.7570 loss_db: 0.3928 2022/11/02 13:15:52 - mmengine - INFO - Epoch(train) [98][45/63] lr: 1.9596e-03 eta: 12:45:36 time: 0.5008 data_time: 0.0042 memory: 16395 loss: 3.1270 loss_prob: 2.0081 loss_thr: 0.7547 loss_db: 0.3642 2022/11/02 13:15:55 - mmengine - INFO - Epoch(train) [98][50/63] lr: 1.9596e-03 eta: 12:45:15 time: 0.5323 data_time: 0.0206 memory: 16395 loss: 3.3132 loss_prob: 2.1378 loss_thr: 0.7882 loss_db: 0.3872 2022/11/02 13:15:58 - mmengine - INFO - Epoch(train) [98][55/63] lr: 1.9596e-03 eta: 12:45:15 time: 0.6510 data_time: 0.0220 memory: 16395 loss: 3.1355 loss_prob: 2.0105 loss_thr: 0.7820 loss_db: 0.3431 2022/11/02 13:16:01 - mmengine - INFO - Epoch(train) [98][60/63] lr: 1.9596e-03 eta: 12:45:07 time: 0.6501 data_time: 0.0058 memory: 16395 loss: 2.8867 loss_prob: 1.8341 loss_thr: 0.7581 loss_db: 0.2945 2022/11/02 13:16:03 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:16:08 - mmengine - INFO - Epoch(train) [99][5/63] lr: 1.9798e-03 eta: 12:45:07 time: 0.8116 data_time: 0.2087 memory: 16395 loss: 2.9006 loss_prob: 1.8531 loss_thr: 0.7356 loss_db: 0.3119 2022/11/02 13:16:12 - mmengine - INFO - Epoch(train) [99][10/63] lr: 1.9798e-03 eta: 12:45:06 time: 0.9262 data_time: 0.2141 memory: 16395 loss: 3.1590 loss_prob: 2.0232 loss_thr: 0.7808 loss_db: 0.3550 2022/11/02 13:16:15 - mmengine - INFO - Epoch(train) [99][15/63] lr: 1.9798e-03 eta: 12:45:06 time: 0.7174 data_time: 0.0258 memory: 16395 loss: 3.3311 loss_prob: 2.1237 loss_thr: 0.8199 loss_db: 0.3874 2022/11/02 13:16:19 - mmengine - INFO - Epoch(train) [99][20/63] lr: 1.9798e-03 eta: 12:45:00 time: 0.6601 data_time: 0.0206 memory: 16395 loss: 3.1223 loss_prob: 1.9721 loss_thr: 0.7994 loss_db: 0.3508 2022/11/02 13:16:22 - mmengine - INFO - Epoch(train) [99][25/63] lr: 1.9798e-03 eta: 12:45:00 time: 0.6317 data_time: 0.0133 memory: 16395 loss: 3.1149 loss_prob: 1.9896 loss_thr: 0.7793 loss_db: 0.3460 2022/11/02 13:16:24 - mmengine - INFO - Epoch(train) [99][30/63] lr: 1.9798e-03 eta: 12:44:41 time: 0.5583 data_time: 0.0130 memory: 16395 loss: 3.1312 loss_prob: 2.0026 loss_thr: 0.7804 loss_db: 0.3482 2022/11/02 13:16:27 - mmengine - INFO - Epoch(train) [99][35/63] lr: 1.9798e-03 eta: 12:44:41 time: 0.5044 data_time: 0.0080 memory: 16395 loss: 2.8913 loss_prob: 1.8317 loss_thr: 0.7599 loss_db: 0.2997 2022/11/02 13:16:30 - mmengine - INFO - Epoch(train) [99][40/63] lr: 1.9798e-03 eta: 12:44:23 time: 0.5570 data_time: 0.0160 memory: 16395 loss: 2.8667 loss_prob: 1.8173 loss_thr: 0.7484 loss_db: 0.3010 2022/11/02 13:16:32 - mmengine - INFO - Epoch(train) [99][45/63] lr: 1.9798e-03 eta: 12:44:23 time: 0.5621 data_time: 0.0121 memory: 16395 loss: 2.9251 loss_prob: 1.8465 loss_thr: 0.7605 loss_db: 0.3181 2022/11/02 13:16:35 - mmengine - INFO - Epoch(train) [99][50/63] lr: 1.9798e-03 eta: 12:44:00 time: 0.5127 data_time: 0.0117 memory: 16395 loss: 3.0476 loss_prob: 1.9184 loss_thr: 0.7937 loss_db: 0.3354 2022/11/02 13:16:38 - mmengine - INFO - Epoch(train) [99][55/63] lr: 1.9798e-03 eta: 12:44:00 time: 0.5428 data_time: 0.0147 memory: 16395 loss: 3.3380 loss_prob: 2.1320 loss_thr: 0.8283 loss_db: 0.3778 2022/11/02 13:16:41 - mmengine - INFO - Epoch(train) [99][60/63] lr: 1.9798e-03 eta: 12:43:43 time: 0.5702 data_time: 0.0100 memory: 16395 loss: 3.2341 loss_prob: 2.0783 loss_thr: 0.7841 loss_db: 0.3716 2022/11/02 13:16:42 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:16:47 - mmengine - INFO - Epoch(train) [100][5/63] lr: 2.0000e-03 eta: 12:43:43 time: 0.7598 data_time: 0.2465 memory: 16395 loss: 3.1452 loss_prob: 2.0205 loss_thr: 0.7644 loss_db: 0.3602 2022/11/02 13:16:50 - mmengine - INFO - Epoch(train) [100][10/63] lr: 2.0000e-03 eta: 12:43:27 time: 0.7900 data_time: 0.2464 memory: 16395 loss: 3.0881 loss_prob: 1.9706 loss_thr: 0.7735 loss_db: 0.3441 2022/11/02 13:16:52 - mmengine - INFO - Epoch(train) [100][15/63] lr: 2.0000e-03 eta: 12:43:27 time: 0.5129 data_time: 0.0057 memory: 16395 loss: 2.9301 loss_prob: 1.8458 loss_thr: 0.7709 loss_db: 0.3133 2022/11/02 13:16:55 - mmengine - INFO - Epoch(train) [100][20/63] lr: 2.0000e-03 eta: 12:43:02 time: 0.4950 data_time: 0.0054 memory: 16395 loss: 2.8981 loss_prob: 1.8293 loss_thr: 0.7625 loss_db: 0.3062 2022/11/02 13:16:58 - mmengine - INFO - Epoch(train) [100][25/63] lr: 2.0000e-03 eta: 12:43:02 time: 0.5635 data_time: 0.0388 memory: 16395 loss: 3.0337 loss_prob: 1.9242 loss_thr: 0.7763 loss_db: 0.3332 2022/11/02 13:17:00 - mmengine - INFO - Epoch(train) [100][30/63] lr: 2.0000e-03 eta: 12:42:47 time: 0.5808 data_time: 0.0382 memory: 16395 loss: 3.0356 loss_prob: 1.9233 loss_thr: 0.7763 loss_db: 0.3361 2022/11/02 13:17:03 - mmengine - INFO - Epoch(train) [100][35/63] lr: 2.0000e-03 eta: 12:42:47 time: 0.5107 data_time: 0.0088 memory: 16395 loss: 3.0066 loss_prob: 1.9027 loss_thr: 0.7748 loss_db: 0.3291 2022/11/02 13:17:05 - mmengine - INFO - Epoch(train) [100][40/63] lr: 2.0000e-03 eta: 12:42:23 time: 0.5025 data_time: 0.0083 memory: 16395 loss: 3.3780 loss_prob: 2.1457 loss_thr: 0.8216 loss_db: 0.4107 2022/11/02 13:17:08 - mmengine - INFO - Epoch(train) [100][45/63] lr: 2.0000e-03 eta: 12:42:23 time: 0.5341 data_time: 0.0057 memory: 16395 loss: 3.7213 loss_prob: 2.3934 loss_thr: 0.8504 loss_db: 0.4776 2022/11/02 13:17:11 - mmengine - INFO - Epoch(train) [100][50/63] lr: 2.0000e-03 eta: 12:42:09 time: 0.5938 data_time: 0.0231 memory: 16395 loss: 3.5361 loss_prob: 2.2876 loss_thr: 0.8135 loss_db: 0.4350 2022/11/02 13:17:14 - mmengine - INFO - Epoch(train) [100][55/63] lr: 2.0000e-03 eta: 12:42:09 time: 0.5796 data_time: 0.0234 memory: 16395 loss: 3.3288 loss_prob: 2.1427 loss_thr: 0.7985 loss_db: 0.3875 2022/11/02 13:17:17 - mmengine - INFO - Epoch(train) [100][60/63] lr: 2.0000e-03 eta: 12:41:49 time: 0.5395 data_time: 0.0063 memory: 16395 loss: 3.3014 loss_prob: 2.1219 loss_thr: 0.8021 loss_db: 0.3773 2022/11/02 13:17:18 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:17:18 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/11/02 13:17:22 - mmengine - INFO - Epoch(val) [100][5/500] eta: 12:41:49 time: 0.0496 data_time: 0.0049 memory: 16395 2022/11/02 13:17:22 - mmengine - INFO - Epoch(val) [100][10/500] eta: 0:00:24 time: 0.0502 data_time: 0.0043 memory: 1013 2022/11/02 13:17:22 - mmengine - INFO - Epoch(val) [100][15/500] eta: 0:00:24 time: 0.0439 data_time: 0.0021 memory: 1013 2022/11/02 13:17:22 - mmengine - INFO - Epoch(val) [100][20/500] eta: 0:00:20 time: 0.0430 data_time: 0.0022 memory: 1013 2022/11/02 13:17:23 - mmengine - INFO - Epoch(val) [100][25/500] eta: 0:00:20 time: 0.0422 data_time: 0.0023 memory: 1013 2022/11/02 13:17:23 - mmengine - INFO - Epoch(val) [100][30/500] eta: 0:00:20 time: 0.0445 data_time: 0.0024 memory: 1013 2022/11/02 13:17:23 - mmengine - INFO - Epoch(val) [100][35/500] eta: 0:00:20 time: 0.0454 data_time: 0.0023 memory: 1013 2022/11/02 13:17:23 - mmengine - INFO - Epoch(val) [100][40/500] eta: 0:00:22 time: 0.0485 data_time: 0.0026 memory: 1013 2022/11/02 13:17:24 - mmengine - INFO - Epoch(val) [100][45/500] eta: 0:00:22 time: 0.0481 data_time: 0.0026 memory: 1013 2022/11/02 13:17:24 - mmengine - INFO - Epoch(val) [100][50/500] eta: 0:00:20 time: 0.0449 data_time: 0.0022 memory: 1013 2022/11/02 13:17:24 - mmengine - INFO - Epoch(val) [100][55/500] eta: 0:00:20 time: 0.0471 data_time: 0.0023 memory: 1013 2022/11/02 13:17:24 - mmengine - INFO - Epoch(val) [100][60/500] eta: 0:00:21 time: 0.0498 data_time: 0.0023 memory: 1013 2022/11/02 13:17:24 - mmengine - INFO - Epoch(val) [100][65/500] eta: 0:00:21 time: 0.0494 data_time: 0.0023 memory: 1013 2022/11/02 13:17:25 - mmengine - INFO - Epoch(val) [100][70/500] eta: 0:00:19 time: 0.0460 data_time: 0.0023 memory: 1013 2022/11/02 13:17:25 - mmengine - INFO - Epoch(val) [100][75/500] eta: 0:00:19 time: 0.0497 data_time: 0.0026 memory: 1013 2022/11/02 13:17:25 - mmengine - INFO - Epoch(val) [100][80/500] eta: 0:00:19 time: 0.0475 data_time: 0.0028 memory: 1013 2022/11/02 13:17:25 - mmengine - INFO - Epoch(val) [100][85/500] eta: 0:00:19 time: 0.0392 data_time: 0.0024 memory: 1013 2022/11/02 13:17:26 - mmengine - INFO - Epoch(val) [100][90/500] eta: 0:00:18 time: 0.0440 data_time: 0.0025 memory: 1013 2022/11/02 13:17:26 - mmengine - INFO - Epoch(val) [100][95/500] eta: 0:00:18 time: 0.0481 data_time: 0.0025 memory: 1013 2022/11/02 13:17:26 - mmengine - INFO - Epoch(val) [100][100/500] eta: 0:00:17 time: 0.0448 data_time: 0.0024 memory: 1013 2022/11/02 13:17:26 - mmengine - INFO - Epoch(val) [100][105/500] eta: 0:00:17 time: 0.0425 data_time: 0.0024 memory: 1013 2022/11/02 13:17:27 - mmengine - INFO - Epoch(val) [100][110/500] eta: 0:00:16 time: 0.0413 data_time: 0.0024 memory: 1013 2022/11/02 13:17:27 - mmengine - INFO - Epoch(val) [100][115/500] eta: 0:00:16 time: 0.0491 data_time: 0.0027 memory: 1013 2022/11/02 13:17:27 - mmengine - INFO - Epoch(val) [100][120/500] eta: 0:00:19 time: 0.0508 data_time: 0.0026 memory: 1013 2022/11/02 13:17:27 - mmengine - INFO - Epoch(val) [100][125/500] eta: 0:00:19 time: 0.0437 data_time: 0.0023 memory: 1013 2022/11/02 13:17:27 - mmengine - INFO - Epoch(val) [100][130/500] eta: 0:00:16 time: 0.0444 data_time: 0.0024 memory: 1013 2022/11/02 13:17:28 - mmengine - INFO - Epoch(val) [100][135/500] eta: 0:00:16 time: 0.0440 data_time: 0.0025 memory: 1013 2022/11/02 13:17:28 - mmengine - INFO - Epoch(val) [100][140/500] eta: 0:00:15 time: 0.0438 data_time: 0.0026 memory: 1013 2022/11/02 13:17:28 - mmengine - INFO - Epoch(val) [100][145/500] eta: 0:00:15 time: 0.0472 data_time: 0.0025 memory: 1013 2022/11/02 13:17:28 - mmengine - INFO - Epoch(val) [100][150/500] eta: 0:00:15 time: 0.0454 data_time: 0.0024 memory: 1013 2022/11/02 13:17:29 - mmengine - INFO - Epoch(val) [100][155/500] eta: 0:00:15 time: 0.0486 data_time: 0.0026 memory: 1013 2022/11/02 13:17:29 - mmengine - INFO - Epoch(val) [100][160/500] eta: 0:00:18 time: 0.0556 data_time: 0.0026 memory: 1013 2022/11/02 13:17:29 - mmengine - INFO - Epoch(val) [100][165/500] eta: 0:00:18 time: 0.0551 data_time: 0.0025 memory: 1013 2022/11/02 13:17:29 - mmengine - INFO - Epoch(val) [100][170/500] eta: 0:00:16 time: 0.0494 data_time: 0.0023 memory: 1013 2022/11/02 13:17:30 - mmengine - INFO - Epoch(val) [100][175/500] eta: 0:00:16 time: 0.0439 data_time: 0.0023 memory: 1013 2022/11/02 13:17:30 - mmengine - INFO - Epoch(val) [100][180/500] eta: 0:00:13 time: 0.0428 data_time: 0.0025 memory: 1013 2022/11/02 13:17:30 - mmengine - INFO - Epoch(val) [100][185/500] eta: 0:00:13 time: 0.0445 data_time: 0.0025 memory: 1013 2022/11/02 13:17:30 - mmengine - INFO - Epoch(val) [100][190/500] eta: 0:00:13 time: 0.0440 data_time: 0.0023 memory: 1013 2022/11/02 13:17:31 - mmengine - INFO - Epoch(val) [100][195/500] eta: 0:00:13 time: 0.0458 data_time: 0.0025 memory: 1013 2022/11/02 13:17:31 - mmengine - INFO - Epoch(val) [100][200/500] eta: 0:00:15 time: 0.0515 data_time: 0.0025 memory: 1013 2022/11/02 13:17:31 - mmengine - INFO - Epoch(val) [100][205/500] eta: 0:00:15 time: 0.0475 data_time: 0.0023 memory: 1013 2022/11/02 13:17:31 - mmengine - INFO - Epoch(val) [100][210/500] eta: 0:00:12 time: 0.0448 data_time: 0.0025 memory: 1013 2022/11/02 13:17:31 - mmengine - INFO - Epoch(val) [100][215/500] eta: 0:00:12 time: 0.0452 data_time: 0.0024 memory: 1013 2022/11/02 13:17:32 - mmengine - INFO - Epoch(val) [100][220/500] eta: 0:00:11 time: 0.0417 data_time: 0.0022 memory: 1013 2022/11/02 13:17:32 - mmengine - INFO - Epoch(val) [100][225/500] eta: 0:00:11 time: 0.0450 data_time: 0.0022 memory: 1013 2022/11/02 13:17:32 - mmengine - INFO - Epoch(val) [100][230/500] eta: 0:00:12 time: 0.0449 data_time: 0.0029 memory: 1013 2022/11/02 13:17:32 - mmengine - INFO - Epoch(val) [100][235/500] eta: 0:00:12 time: 0.0417 data_time: 0.0030 memory: 1013 2022/11/02 13:17:33 - mmengine - INFO - Epoch(val) [100][240/500] eta: 0:00:11 time: 0.0459 data_time: 0.0023 memory: 1013 2022/11/02 13:17:33 - mmengine - INFO - Epoch(val) [100][245/500] eta: 0:00:11 time: 0.0461 data_time: 0.0023 memory: 1013 2022/11/02 13:17:33 - mmengine - INFO - Epoch(val) [100][250/500] eta: 0:00:10 time: 0.0435 data_time: 0.0023 memory: 1013 2022/11/02 13:17:33 - mmengine - INFO - Epoch(val) [100][255/500] eta: 0:00:10 time: 0.0425 data_time: 0.0022 memory: 1013 2022/11/02 13:17:33 - mmengine - INFO - Epoch(val) [100][260/500] eta: 0:00:11 time: 0.0458 data_time: 0.0033 memory: 1013 2022/11/02 13:17:34 - mmengine - INFO - Epoch(val) [100][265/500] eta: 0:00:11 time: 0.0506 data_time: 0.0033 memory: 1013 2022/11/02 13:17:34 - mmengine - INFO - Epoch(val) [100][270/500] eta: 0:00:11 time: 0.0521 data_time: 0.0022 memory: 1013 2022/11/02 13:17:34 - mmengine - INFO - Epoch(val) [100][275/500] eta: 0:00:11 time: 0.0472 data_time: 0.0023 memory: 1013 2022/11/02 13:17:34 - mmengine - INFO - Epoch(val) [100][280/500] eta: 0:00:09 time: 0.0427 data_time: 0.0023 memory: 1013 2022/11/02 13:17:35 - mmengine - INFO - Epoch(val) [100][285/500] eta: 0:00:09 time: 0.0433 data_time: 0.0024 memory: 1013 2022/11/02 13:17:35 - mmengine - INFO - Epoch(val) [100][290/500] eta: 0:00:09 time: 0.0461 data_time: 0.0027 memory: 1013 2022/11/02 13:17:35 - mmengine - INFO - Epoch(val) [100][295/500] eta: 0:00:09 time: 0.0475 data_time: 0.0027 memory: 1013 2022/11/02 13:17:35 - mmengine - INFO - Epoch(val) [100][300/500] eta: 0:00:09 time: 0.0470 data_time: 0.0025 memory: 1013 2022/11/02 13:17:36 - mmengine - INFO - Epoch(val) [100][305/500] eta: 0:00:09 time: 0.0443 data_time: 0.0024 memory: 1013 2022/11/02 13:17:36 - mmengine - INFO - Epoch(val) [100][310/500] eta: 0:00:08 time: 0.0440 data_time: 0.0024 memory: 1013 2022/11/02 13:17:36 - mmengine - INFO - Epoch(val) [100][315/500] eta: 0:00:08 time: 0.0482 data_time: 0.0023 memory: 1013 2022/11/02 13:17:36 - mmengine - INFO - Epoch(val) [100][320/500] eta: 0:00:08 time: 0.0463 data_time: 0.0022 memory: 1013 2022/11/02 13:17:37 - mmengine - INFO - Epoch(val) [100][325/500] eta: 0:00:08 time: 0.0609 data_time: 0.0027 memory: 1013 2022/11/02 13:17:37 - mmengine - INFO - Epoch(val) [100][330/500] eta: 0:00:10 time: 0.0597 data_time: 0.0028 memory: 1013 2022/11/02 13:17:37 - mmengine - INFO - Epoch(val) [100][335/500] eta: 0:00:10 time: 0.0412 data_time: 0.0024 memory: 1013 2022/11/02 13:17:37 - mmengine - INFO - Epoch(val) [100][340/500] eta: 0:00:07 time: 0.0467 data_time: 0.0023 memory: 1013 2022/11/02 13:17:38 - mmengine - INFO - Epoch(val) [100][345/500] eta: 0:00:07 time: 0.0528 data_time: 0.0072 memory: 1013 2022/11/02 13:17:38 - mmengine - INFO - Epoch(val) [100][350/500] eta: 0:00:08 time: 0.0563 data_time: 0.0071 memory: 1013 2022/11/02 13:17:38 - mmengine - INFO - Epoch(val) [100][355/500] eta: 0:00:08 time: 0.0529 data_time: 0.0025 memory: 1013 2022/11/02 13:17:38 - mmengine - INFO - Epoch(val) [100][360/500] eta: 0:00:07 time: 0.0509 data_time: 0.0036 memory: 1013 2022/11/02 13:17:39 - mmengine - INFO - Epoch(val) [100][365/500] eta: 0:00:07 time: 0.0500 data_time: 0.0033 memory: 1013 2022/11/02 13:17:39 - mmengine - INFO - Epoch(val) [100][370/500] eta: 0:00:05 time: 0.0435 data_time: 0.0022 memory: 1013 2022/11/02 13:17:39 - mmengine - INFO - Epoch(val) [100][375/500] eta: 0:00:05 time: 0.0435 data_time: 0.0023 memory: 1013 2022/11/02 13:17:39 - mmengine - INFO - Epoch(val) [100][380/500] eta: 0:00:05 time: 0.0475 data_time: 0.0023 memory: 1013 2022/11/02 13:17:39 - mmengine - INFO - Epoch(val) [100][385/500] eta: 0:00:05 time: 0.0463 data_time: 0.0023 memory: 1013 2022/11/02 13:17:40 - mmengine - INFO - Epoch(val) [100][390/500] eta: 0:00:04 time: 0.0450 data_time: 0.0025 memory: 1013 2022/11/02 13:17:40 - mmengine - INFO - Epoch(val) [100][395/500] eta: 0:00:04 time: 0.0487 data_time: 0.0028 memory: 1013 2022/11/02 13:17:40 - mmengine - INFO - Epoch(val) [100][400/500] eta: 0:00:04 time: 0.0471 data_time: 0.0029 memory: 1013 2022/11/02 13:17:40 - mmengine - INFO - Epoch(val) [100][405/500] eta: 0:00:04 time: 0.0459 data_time: 0.0027 memory: 1013 2022/11/02 13:17:41 - mmengine - INFO - Epoch(val) [100][410/500] eta: 0:00:04 time: 0.0472 data_time: 0.0026 memory: 1013 2022/11/02 13:17:41 - mmengine - INFO - Epoch(val) [100][415/500] eta: 0:00:04 time: 0.0474 data_time: 0.0030 memory: 1013 2022/11/02 13:17:41 - mmengine - INFO - Epoch(val) [100][420/500] eta: 0:00:03 time: 0.0461 data_time: 0.0034 memory: 1013 2022/11/02 13:17:41 - mmengine - INFO - Epoch(val) [100][425/500] eta: 0:00:03 time: 0.0505 data_time: 0.0036 memory: 1013 2022/11/02 13:17:42 - mmengine - INFO - Epoch(val) [100][430/500] eta: 0:00:03 time: 0.0521 data_time: 0.0034 memory: 1013 2022/11/02 13:17:42 - mmengine - INFO - Epoch(val) [100][435/500] eta: 0:00:03 time: 0.0496 data_time: 0.0035 memory: 1013 2022/11/02 13:17:42 - mmengine - INFO - Epoch(val) [100][440/500] eta: 0:00:02 time: 0.0478 data_time: 0.0032 memory: 1013 2022/11/02 13:17:42 - mmengine - INFO - Epoch(val) [100][445/500] eta: 0:00:02 time: 0.0484 data_time: 0.0030 memory: 1013 2022/11/02 13:17:43 - mmengine - INFO - Epoch(val) [100][450/500] eta: 0:00:02 time: 0.0503 data_time: 0.0031 memory: 1013 2022/11/02 13:17:43 - mmengine - INFO - Epoch(val) [100][455/500] eta: 0:00:02 time: 0.0481 data_time: 0.0028 memory: 1013 2022/11/02 13:17:43 - mmengine - INFO - Epoch(val) [100][460/500] eta: 0:00:01 time: 0.0433 data_time: 0.0025 memory: 1013 2022/11/02 13:17:43 - mmengine - INFO - Epoch(val) [100][465/500] eta: 0:00:01 time: 0.0404 data_time: 0.0022 memory: 1013 2022/11/02 13:17:44 - mmengine - INFO - Epoch(val) [100][470/500] eta: 0:00:01 time: 0.0440 data_time: 0.0025 memory: 1013 2022/11/02 13:17:44 - mmengine - INFO - Epoch(val) [100][475/500] eta: 0:00:01 time: 0.0426 data_time: 0.0025 memory: 1013 2022/11/02 13:17:44 - mmengine - INFO - Epoch(val) [100][480/500] eta: 0:00:00 time: 0.0422 data_time: 0.0023 memory: 1013 2022/11/02 13:17:44 - mmengine - INFO - Epoch(val) [100][485/500] eta: 0:00:00 time: 0.0436 data_time: 0.0023 memory: 1013 2022/11/02 13:17:44 - mmengine - INFO - Epoch(val) [100][490/500] eta: 0:00:00 time: 0.0469 data_time: 0.0025 memory: 1013 2022/11/02 13:17:45 - mmengine - INFO - Epoch(val) [100][495/500] eta: 0:00:00 time: 0.0522 data_time: 0.0024 memory: 1013 2022/11/02 13:17:45 - mmengine - INFO - Epoch(val) [100][500/500] eta: 0:00:00 time: 0.0481 data_time: 0.0025 memory: 1013 2022/11/02 13:17:45 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 13:17:45 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.6298, precision: 0.4293, hmean: 0.5105 2022/11/02 13:17:45 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.6264, precision: 0.6240, hmean: 0.6252 2022/11/02 13:17:45 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.5999, precision: 0.7351, hmean: 0.6607 2022/11/02 13:17:45 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.5132, precision: 0.8181, hmean: 0.6308 2022/11/02 13:17:45 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.2759, precision: 0.8788, hmean: 0.4199 2022/11/02 13:17:45 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0202, precision: 0.9130, hmean: 0.0396 2022/11/02 13:17:45 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 13:17:45 - mmengine - INFO - Epoch(val) [100][500/500] icdar/precision: 0.7351 icdar/recall: 0.5999 icdar/hmean: 0.6607 2022/11/02 13:17:50 - mmengine - INFO - Epoch(train) [101][5/63] lr: 2.0000e-03 eta: 0:00:00 time: 0.7462 data_time: 0.2148 memory: 16395 loss: 3.1476 loss_prob: 2.0133 loss_thr: 0.7718 loss_db: 0.3626 2022/11/02 13:17:53 - mmengine - INFO - Epoch(train) [101][10/63] lr: 2.0000e-03 eta: 12:41:32 time: 0.7762 data_time: 0.2215 memory: 16395 loss: 3.3360 loss_prob: 2.1445 loss_thr: 0.8073 loss_db: 0.3842 2022/11/02 13:17:55 - mmengine - INFO - Epoch(train) [101][15/63] lr: 2.0000e-03 eta: 12:41:32 time: 0.5104 data_time: 0.0118 memory: 16395 loss: 3.3701 loss_prob: 2.1584 loss_thr: 0.8156 loss_db: 0.3960 2022/11/02 13:17:58 - mmengine - INFO - Epoch(train) [101][20/63] lr: 2.0000e-03 eta: 12:41:10 time: 0.5243 data_time: 0.0060 memory: 16395 loss: 3.1920 loss_prob: 2.0237 loss_thr: 0.7940 loss_db: 0.3743 2022/11/02 13:18:01 - mmengine - INFO - Epoch(train) [101][25/63] lr: 2.0000e-03 eta: 12:41:10 time: 0.5293 data_time: 0.0081 memory: 16395 loss: 3.0776 loss_prob: 1.9584 loss_thr: 0.7756 loss_db: 0.3436 2022/11/02 13:18:03 - mmengine - INFO - Epoch(train) [101][30/63] lr: 2.0000e-03 eta: 12:40:52 time: 0.5501 data_time: 0.0320 memory: 16395 loss: 3.0784 loss_prob: 1.9640 loss_thr: 0.7724 loss_db: 0.3419 2022/11/02 13:18:06 - mmengine - INFO - Epoch(train) [101][35/63] lr: 2.0000e-03 eta: 12:40:52 time: 0.5536 data_time: 0.0294 memory: 16395 loss: 3.1603 loss_prob: 2.0146 loss_thr: 0.7925 loss_db: 0.3531 2022/11/02 13:18:10 - mmengine - INFO - Epoch(train) [101][40/63] lr: 2.0000e-03 eta: 12:40:40 time: 0.6139 data_time: 0.0045 memory: 16395 loss: 3.0549 loss_prob: 1.9400 loss_thr: 0.7847 loss_db: 0.3302 2022/11/02 13:18:14 - mmengine - INFO - Epoch(train) [101][45/63] lr: 2.0000e-03 eta: 12:40:40 time: 0.7522 data_time: 0.0044 memory: 16395 loss: 2.8780 loss_prob: 1.8129 loss_thr: 0.7580 loss_db: 0.3070 2022/11/02 13:18:17 - mmengine - INFO - Epoch(train) [101][50/63] lr: 2.0000e-03 eta: 12:40:45 time: 0.7646 data_time: 0.0252 memory: 16395 loss: 2.9345 loss_prob: 1.8425 loss_thr: 0.7753 loss_db: 0.3167 2022/11/02 13:18:23 - mmengine - INFO - Epoch(train) [101][55/63] lr: 2.0000e-03 eta: 12:40:45 time: 0.9072 data_time: 0.0285 memory: 16395 loss: 3.0100 loss_prob: 1.9114 loss_thr: 0.7807 loss_db: 0.3180 2022/11/02 13:18:26 - mmengine - INFO - Epoch(train) [101][60/63] lr: 2.0000e-03 eta: 12:41:01 time: 0.8615 data_time: 0.0103 memory: 16395 loss: 3.1312 loss_prob: 1.9835 loss_thr: 0.8126 loss_db: 0.3351 2022/11/02 13:18:28 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:18:33 - mmengine - INFO - Epoch(train) [102][5/63] lr: 1.9984e-03 eta: 12:41:01 time: 0.9007 data_time: 0.2056 memory: 16395 loss: 2.9671 loss_prob: 1.8862 loss_thr: 0.7584 loss_db: 0.3225 2022/11/02 13:18:36 - mmengine - INFO - Epoch(train) [102][10/63] lr: 1.9984e-03 eta: 12:40:54 time: 0.8805 data_time: 0.2079 memory: 16395 loss: 2.8021 loss_prob: 1.7688 loss_thr: 0.7451 loss_db: 0.2882 2022/11/02 13:18:39 - mmengine - INFO - Epoch(train) [102][15/63] lr: 1.9984e-03 eta: 12:40:54 time: 0.5618 data_time: 0.0128 memory: 16395 loss: 2.9336 loss_prob: 1.8670 loss_thr: 0.7540 loss_db: 0.3125 2022/11/02 13:18:43 - mmengine - INFO - Epoch(train) [102][20/63] lr: 1.9984e-03 eta: 12:40:49 time: 0.6706 data_time: 0.0101 memory: 16395 loss: 3.1906 loss_prob: 2.0423 loss_thr: 0.7786 loss_db: 0.3697 2022/11/02 13:18:46 - mmengine - INFO - Epoch(train) [102][25/63] lr: 1.9984e-03 eta: 12:40:49 time: 0.7099 data_time: 0.0106 memory: 16395 loss: 3.3676 loss_prob: 2.1523 loss_thr: 0.8140 loss_db: 0.4013 2022/11/02 13:18:49 - mmengine - INFO - Epoch(train) [102][30/63] lr: 1.9984e-03 eta: 12:40:38 time: 0.6156 data_time: 0.0308 memory: 16395 loss: 3.4540 loss_prob: 2.2086 loss_thr: 0.8402 loss_db: 0.4052 2022/11/02 13:18:52 - mmengine - INFO - Epoch(train) [102][35/63] lr: 1.9984e-03 eta: 12:40:38 time: 0.6331 data_time: 0.0268 memory: 16395 loss: 3.0529 loss_prob: 1.9397 loss_thr: 0.7788 loss_db: 0.3344 2022/11/02 13:18:56 - mmengine - INFO - Epoch(train) [102][40/63] lr: 1.9984e-03 eta: 12:40:32 time: 0.6684 data_time: 0.0055 memory: 16395 loss: 2.8607 loss_prob: 1.8000 loss_thr: 0.7569 loss_db: 0.3039 2022/11/02 13:18:59 - mmengine - INFO - Epoch(train) [102][45/63] lr: 1.9984e-03 eta: 12:40:32 time: 0.6459 data_time: 0.0106 memory: 16395 loss: 3.0494 loss_prob: 1.9235 loss_thr: 0.7913 loss_db: 0.3347 2022/11/02 13:19:04 - mmengine - INFO - Epoch(train) [102][50/63] lr: 1.9984e-03 eta: 12:40:43 time: 0.8213 data_time: 0.0190 memory: 16395 loss: 3.3132 loss_prob: 2.0942 loss_thr: 0.8319 loss_db: 0.3871 2022/11/02 13:19:07 - mmengine - INFO - Epoch(train) [102][55/63] lr: 1.9984e-03 eta: 12:40:43 time: 0.7813 data_time: 0.0215 memory: 16395 loss: 3.3103 loss_prob: 2.0977 loss_thr: 0.8268 loss_db: 0.3858 2022/11/02 13:19:09 - mmengine - INFO - Epoch(train) [102][60/63] lr: 1.9984e-03 eta: 12:40:22 time: 0.5246 data_time: 0.0131 memory: 16395 loss: 3.3058 loss_prob: 2.1295 loss_thr: 0.8022 loss_db: 0.3742 2022/11/02 13:19:11 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:19:15 - mmengine - INFO - Epoch(train) [103][5/63] lr: 1.9967e-03 eta: 12:40:22 time: 0.7115 data_time: 0.2057 memory: 16395 loss: 3.8313 loss_prob: 2.4978 loss_thr: 0.8273 loss_db: 0.5062 2022/11/02 13:19:18 - mmengine - INFO - Epoch(train) [103][10/63] lr: 1.9967e-03 eta: 12:40:01 time: 0.7447 data_time: 0.2024 memory: 16395 loss: 3.5631 loss_prob: 2.3301 loss_thr: 0.7828 loss_db: 0.4502 2022/11/02 13:19:21 - mmengine - INFO - Epoch(train) [103][15/63] lr: 1.9967e-03 eta: 12:40:01 time: 0.5442 data_time: 0.0064 memory: 16395 loss: 3.6326 loss_prob: 2.3553 loss_thr: 0.8225 loss_db: 0.4549 2022/11/02 13:19:24 - mmengine - INFO - Epoch(train) [103][20/63] lr: 1.9967e-03 eta: 12:39:42 time: 0.5438 data_time: 0.0085 memory: 16395 loss: 3.5371 loss_prob: 2.2720 loss_thr: 0.8344 loss_db: 0.4308 2022/11/02 13:19:26 - mmengine - INFO - Epoch(train) [103][25/63] lr: 1.9967e-03 eta: 12:39:42 time: 0.5495 data_time: 0.0144 memory: 16395 loss: 3.3372 loss_prob: 2.1328 loss_thr: 0.8191 loss_db: 0.3853 2022/11/02 13:19:29 - mmengine - INFO - Epoch(train) [103][30/63] lr: 1.9967e-03 eta: 12:39:25 time: 0.5651 data_time: 0.0366 memory: 16395 loss: 3.1967 loss_prob: 2.0459 loss_thr: 0.7954 loss_db: 0.3554 2022/11/02 13:19:32 - mmengine - INFO - Epoch(train) [103][35/63] lr: 1.9967e-03 eta: 12:39:25 time: 0.5434 data_time: 0.0293 memory: 16395 loss: 3.2203 loss_prob: 2.0556 loss_thr: 0.8075 loss_db: 0.3571 2022/11/02 13:19:35 - mmengine - INFO - Epoch(train) [103][40/63] lr: 1.9967e-03 eta: 12:39:06 time: 0.5412 data_time: 0.0049 memory: 16395 loss: 3.4356 loss_prob: 2.1876 loss_thr: 0.8467 loss_db: 0.4013 2022/11/02 13:19:38 - mmengine - INFO - Epoch(train) [103][45/63] lr: 1.9967e-03 eta: 12:39:06 time: 0.5844 data_time: 0.0056 memory: 16395 loss: 3.1818 loss_prob: 2.0193 loss_thr: 0.8032 loss_db: 0.3593 2022/11/02 13:19:40 - mmengine - INFO - Epoch(train) [103][50/63] lr: 1.9967e-03 eta: 12:38:50 time: 0.5635 data_time: 0.0166 memory: 16395 loss: 2.9019 loss_prob: 1.8271 loss_thr: 0.7670 loss_db: 0.3078 2022/11/02 13:19:43 - mmengine - INFO - Epoch(train) [103][55/63] lr: 1.9967e-03 eta: 12:38:50 time: 0.5489 data_time: 0.0258 memory: 16395 loss: 3.0450 loss_prob: 1.9431 loss_thr: 0.7684 loss_db: 0.3335 2022/11/02 13:19:46 - mmengine - INFO - Epoch(train) [103][60/63] lr: 1.9967e-03 eta: 12:38:34 time: 0.5788 data_time: 0.0147 memory: 16395 loss: 3.1851 loss_prob: 2.0501 loss_thr: 0.7744 loss_db: 0.3606 2022/11/02 13:19:47 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:19:52 - mmengine - INFO - Epoch(train) [104][5/63] lr: 1.9951e-03 eta: 12:38:34 time: 0.6827 data_time: 0.1837 memory: 16395 loss: 2.9990 loss_prob: 1.9231 loss_thr: 0.7436 loss_db: 0.3323 2022/11/02 13:19:55 - mmengine - INFO - Epoch(train) [104][10/63] lr: 1.9951e-03 eta: 12:38:14 time: 0.7398 data_time: 0.1889 memory: 16395 loss: 3.0732 loss_prob: 1.9576 loss_thr: 0.7732 loss_db: 0.3424 2022/11/02 13:19:57 - mmengine - INFO - Epoch(train) [104][15/63] lr: 1.9951e-03 eta: 12:38:14 time: 0.5530 data_time: 0.0113 memory: 16395 loss: 3.2824 loss_prob: 2.0833 loss_thr: 0.8113 loss_db: 0.3878 2022/11/02 13:20:00 - mmengine - INFO - Epoch(train) [104][20/63] lr: 1.9951e-03 eta: 12:37:51 time: 0.5060 data_time: 0.0071 memory: 16395 loss: 3.3135 loss_prob: 2.1184 loss_thr: 0.7933 loss_db: 0.4017 2022/11/02 13:20:03 - mmengine - INFO - Epoch(train) [104][25/63] lr: 1.9951e-03 eta: 12:37:51 time: 0.5470 data_time: 0.0214 memory: 16395 loss: 3.3213 loss_prob: 2.1334 loss_thr: 0.7909 loss_db: 0.3969 2022/11/02 13:20:06 - mmengine - INFO - Epoch(train) [104][30/63] lr: 1.9951e-03 eta: 12:37:37 time: 0.5935 data_time: 0.0318 memory: 16395 loss: 3.2992 loss_prob: 2.1031 loss_thr: 0.8103 loss_db: 0.3858 2022/11/02 13:20:08 - mmengine - INFO - Epoch(train) [104][35/63] lr: 1.9951e-03 eta: 12:37:37 time: 0.5729 data_time: 0.0217 memory: 16395 loss: 3.1427 loss_prob: 1.9889 loss_thr: 0.7980 loss_db: 0.3559 2022/11/02 13:20:11 - mmengine - INFO - Epoch(train) [104][40/63] lr: 1.9951e-03 eta: 12:37:20 time: 0.5543 data_time: 0.0138 memory: 16395 loss: 3.0415 loss_prob: 1.9335 loss_thr: 0.7638 loss_db: 0.3442 2022/11/02 13:20:14 - mmengine - INFO - Epoch(train) [104][45/63] lr: 1.9951e-03 eta: 12:37:20 time: 0.5329 data_time: 0.0088 memory: 16395 loss: 2.9182 loss_prob: 1.8502 loss_thr: 0.7511 loss_db: 0.3170 2022/11/02 13:20:16 - mmengine - INFO - Epoch(train) [104][50/63] lr: 1.9951e-03 eta: 12:36:58 time: 0.5102 data_time: 0.0130 memory: 16395 loss: 3.0081 loss_prob: 1.9002 loss_thr: 0.7850 loss_db: 0.3228 2022/11/02 13:20:19 - mmengine - INFO - Epoch(train) [104][55/63] lr: 1.9951e-03 eta: 12:36:58 time: 0.5347 data_time: 0.0182 memory: 16395 loss: 3.0193 loss_prob: 1.9147 loss_thr: 0.7777 loss_db: 0.3270 2022/11/02 13:20:22 - mmengine - INFO - Epoch(train) [104][60/63] lr: 1.9951e-03 eta: 12:36:37 time: 0.5203 data_time: 0.0145 memory: 16395 loss: 2.9745 loss_prob: 1.8819 loss_thr: 0.7670 loss_db: 0.3255 2022/11/02 13:20:23 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:20:28 - mmengine - INFO - Epoch(train) [105][5/63] lr: 1.9934e-03 eta: 12:36:37 time: 0.7308 data_time: 0.2119 memory: 16395 loss: 2.7442 loss_prob: 1.7147 loss_thr: 0.7436 loss_db: 0.2859 2022/11/02 13:20:31 - mmengine - INFO - Epoch(train) [105][10/63] lr: 1.9934e-03 eta: 12:36:21 time: 0.7893 data_time: 0.2119 memory: 16395 loss: 2.7976 loss_prob: 1.7654 loss_thr: 0.7293 loss_db: 0.3029 2022/11/02 13:20:33 - mmengine - INFO - Epoch(train) [105][15/63] lr: 1.9934e-03 eta: 12:36:21 time: 0.5139 data_time: 0.0061 memory: 16395 loss: 3.0788 loss_prob: 1.9377 loss_thr: 0.7990 loss_db: 0.3421 2022/11/02 13:20:36 - mmengine - INFO - Epoch(train) [105][20/63] lr: 1.9934e-03 eta: 12:36:00 time: 0.5176 data_time: 0.0047 memory: 16395 loss: 3.1070 loss_prob: 1.9536 loss_thr: 0.8159 loss_db: 0.3375 2022/11/02 13:20:39 - mmengine - INFO - Epoch(train) [105][25/63] lr: 1.9934e-03 eta: 12:36:00 time: 0.5680 data_time: 0.0305 memory: 16395 loss: 3.2175 loss_prob: 2.0631 loss_thr: 0.7962 loss_db: 0.3582 2022/11/02 13:20:41 - mmengine - INFO - Epoch(train) [105][30/63] lr: 1.9934e-03 eta: 12:35:42 time: 0.5536 data_time: 0.0328 memory: 16395 loss: 3.2533 loss_prob: 2.0960 loss_thr: 0.7834 loss_db: 0.3739 2022/11/02 13:20:44 - mmengine - INFO - Epoch(train) [105][35/63] lr: 1.9934e-03 eta: 12:35:42 time: 0.5778 data_time: 0.0103 memory: 16395 loss: 3.1146 loss_prob: 1.9962 loss_thr: 0.7614 loss_db: 0.3570 2022/11/02 13:20:47 - mmengine - INFO - Epoch(train) [105][40/63] lr: 1.9934e-03 eta: 12:35:31 time: 0.6085 data_time: 0.0085 memory: 16395 loss: 3.2089 loss_prob: 2.0591 loss_thr: 0.7808 loss_db: 0.3690 2022/11/02 13:20:50 - mmengine - INFO - Epoch(train) [105][45/63] lr: 1.9934e-03 eta: 12:35:31 time: 0.5648 data_time: 0.0052 memory: 16395 loss: 3.2543 loss_prob: 2.0935 loss_thr: 0.7840 loss_db: 0.3768 2022/11/02 13:20:53 - mmengine - INFO - Epoch(train) [105][50/63] lr: 1.9934e-03 eta: 12:35:16 time: 0.5749 data_time: 0.0435 memory: 16395 loss: 3.2403 loss_prob: 2.1008 loss_thr: 0.7728 loss_db: 0.3667 2022/11/02 13:20:56 - mmengine - INFO - Epoch(train) [105][55/63] lr: 1.9934e-03 eta: 12:35:16 time: 0.6059 data_time: 0.0467 memory: 16395 loss: 3.0786 loss_prob: 1.9951 loss_thr: 0.7507 loss_db: 0.3328 2022/11/02 13:20:59 - mmengine - INFO - Epoch(train) [105][60/63] lr: 1.9934e-03 eta: 12:35:01 time: 0.5753 data_time: 0.0085 memory: 16395 loss: 3.0504 loss_prob: 1.9538 loss_thr: 0.7726 loss_db: 0.3241 2022/11/02 13:21:00 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:21:07 - mmengine - INFO - Epoch(train) [106][5/63] lr: 1.9918e-03 eta: 12:35:01 time: 0.8963 data_time: 0.2207 memory: 16395 loss: 2.9137 loss_prob: 1.8417 loss_thr: 0.7556 loss_db: 0.3164 2022/11/02 13:21:10 - mmengine - INFO - Epoch(train) [106][10/63] lr: 1.9918e-03 eta: 12:35:04 time: 0.9731 data_time: 0.2212 memory: 16395 loss: 2.8663 loss_prob: 1.8090 loss_thr: 0.7450 loss_db: 0.3123 2022/11/02 13:21:13 - mmengine - INFO - Epoch(train) [106][15/63] lr: 1.9918e-03 eta: 12:35:04 time: 0.6777 data_time: 0.0101 memory: 16395 loss: 2.9202 loss_prob: 1.8503 loss_thr: 0.7500 loss_db: 0.3199 2022/11/02 13:21:17 - mmengine - INFO - Epoch(train) [106][20/63] lr: 1.9918e-03 eta: 12:35:03 time: 0.7016 data_time: 0.0099 memory: 16395 loss: 2.9339 loss_prob: 1.8732 loss_thr: 0.7407 loss_db: 0.3200 2022/11/02 13:21:20 - mmengine - INFO - Epoch(train) [106][25/63] lr: 1.9918e-03 eta: 12:35:03 time: 0.7006 data_time: 0.0129 memory: 16395 loss: 3.0930 loss_prob: 1.9840 loss_thr: 0.7580 loss_db: 0.3510 2022/11/02 13:21:24 - mmengine - INFO - Epoch(train) [106][30/63] lr: 1.9918e-03 eta: 12:34:59 time: 0.6858 data_time: 0.0399 memory: 16395 loss: 3.2998 loss_prob: 2.1473 loss_thr: 0.7795 loss_db: 0.3730 2022/11/02 13:21:27 - mmengine - INFO - Epoch(train) [106][35/63] lr: 1.9918e-03 eta: 12:34:59 time: 0.6989 data_time: 0.0327 memory: 16395 loss: 3.4711 loss_prob: 2.2581 loss_thr: 0.8106 loss_db: 0.4025 2022/11/02 13:21:31 - mmengine - INFO - Epoch(train) [106][40/63] lr: 1.9918e-03 eta: 12:34:52 time: 0.6484 data_time: 0.0052 memory: 16395 loss: 3.5286 loss_prob: 2.2671 loss_thr: 0.8368 loss_db: 0.4247 2022/11/02 13:21:34 - mmengine - INFO - Epoch(train) [106][45/63] lr: 1.9918e-03 eta: 12:34:52 time: 0.6067 data_time: 0.0046 memory: 16395 loss: 3.2713 loss_prob: 2.0973 loss_thr: 0.8025 loss_db: 0.3716 2022/11/02 13:21:37 - mmengine - INFO - Epoch(train) [106][50/63] lr: 1.9918e-03 eta: 12:34:41 time: 0.6210 data_time: 0.0181 memory: 16395 loss: 3.0218 loss_prob: 1.9127 loss_thr: 0.7811 loss_db: 0.3279 2022/11/02 13:21:40 - mmengine - INFO - Epoch(train) [106][55/63] lr: 1.9918e-03 eta: 12:34:41 time: 0.6620 data_time: 0.0246 memory: 16395 loss: 3.2236 loss_prob: 2.0412 loss_thr: 0.8090 loss_db: 0.3734 2022/11/02 13:21:44 - mmengine - INFO - Epoch(train) [106][60/63] lr: 1.9918e-03 eta: 12:34:40 time: 0.7061 data_time: 0.0134 memory: 16395 loss: 3.0660 loss_prob: 1.9410 loss_thr: 0.7786 loss_db: 0.3464 2022/11/02 13:21:45 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:21:50 - mmengine - INFO - Epoch(train) [107][5/63] lr: 1.9902e-03 eta: 12:34:40 time: 0.8040 data_time: 0.2252 memory: 16395 loss: 3.0215 loss_prob: 1.9074 loss_thr: 0.7841 loss_db: 0.3299 2022/11/02 13:21:53 - mmengine - INFO - Epoch(train) [107][10/63] lr: 1.9902e-03 eta: 12:34:20 time: 0.7420 data_time: 0.2273 memory: 16395 loss: 3.0181 loss_prob: 1.9353 loss_thr: 0.7514 loss_db: 0.3314 2022/11/02 13:21:56 - mmengine - INFO - Epoch(train) [107][15/63] lr: 1.9902e-03 eta: 12:34:20 time: 0.5135 data_time: 0.0113 memory: 16395 loss: 3.1850 loss_prob: 2.0514 loss_thr: 0.7684 loss_db: 0.3652 2022/11/02 13:21:58 - mmengine - INFO - Epoch(train) [107][20/63] lr: 1.9902e-03 eta: 12:34:03 time: 0.5608 data_time: 0.0090 memory: 16395 loss: 3.2405 loss_prob: 2.0883 loss_thr: 0.7765 loss_db: 0.3756 2022/11/02 13:22:02 - mmengine - INFO - Epoch(train) [107][25/63] lr: 1.9902e-03 eta: 12:34:03 time: 0.6228 data_time: 0.0351 memory: 16395 loss: 3.1580 loss_prob: 2.0136 loss_thr: 0.7895 loss_db: 0.3549 2022/11/02 13:22:05 - mmengine - INFO - Epoch(train) [107][30/63] lr: 1.9902e-03 eta: 12:33:52 time: 0.6094 data_time: 0.0351 memory: 16395 loss: 3.1463 loss_prob: 2.0031 loss_thr: 0.7987 loss_db: 0.3445 2022/11/02 13:22:08 - mmengine - INFO - Epoch(train) [107][35/63] lr: 1.9902e-03 eta: 12:33:52 time: 0.5667 data_time: 0.0092 memory: 16395 loss: 3.1919 loss_prob: 2.0406 loss_thr: 0.7912 loss_db: 0.3601 2022/11/02 13:22:10 - mmengine - INFO - Epoch(train) [107][40/63] lr: 1.9902e-03 eta: 12:33:37 time: 0.5715 data_time: 0.0104 memory: 16395 loss: 2.8862 loss_prob: 1.8137 loss_thr: 0.7600 loss_db: 0.3125 2022/11/02 13:22:13 - mmengine - INFO - Epoch(train) [107][45/63] lr: 1.9902e-03 eta: 12:33:37 time: 0.5294 data_time: 0.0061 memory: 16395 loss: 2.8797 loss_prob: 1.8140 loss_thr: 0.7585 loss_db: 0.3073 2022/11/02 13:22:16 - mmengine - INFO - Epoch(train) [107][50/63] lr: 1.9902e-03 eta: 12:33:19 time: 0.5461 data_time: 0.0184 memory: 16395 loss: 3.0284 loss_prob: 1.9258 loss_thr: 0.7645 loss_db: 0.3380 2022/11/02 13:22:18 - mmengine - INFO - Epoch(train) [107][55/63] lr: 1.9902e-03 eta: 12:33:19 time: 0.5436 data_time: 0.0180 memory: 16395 loss: 3.0150 loss_prob: 1.9381 loss_thr: 0.7463 loss_db: 0.3307 2022/11/02 13:22:21 - mmengine - INFO - Epoch(train) [107][60/63] lr: 1.9902e-03 eta: 12:32:59 time: 0.5268 data_time: 0.0086 memory: 16395 loss: 3.0783 loss_prob: 2.0048 loss_thr: 0.7355 loss_db: 0.3379 2022/11/02 13:22:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:22:27 - mmengine - INFO - Epoch(train) [108][5/63] lr: 1.9885e-03 eta: 12:32:59 time: 0.7220 data_time: 0.2113 memory: 16395 loss: 2.9893 loss_prob: 1.9136 loss_thr: 0.7517 loss_db: 0.3240 2022/11/02 13:22:30 - mmengine - INFO - Epoch(train) [108][10/63] lr: 1.9885e-03 eta: 12:32:38 time: 0.7360 data_time: 0.2103 memory: 16395 loss: 3.0038 loss_prob: 1.9177 loss_thr: 0.7531 loss_db: 0.3330 2022/11/02 13:22:32 - mmengine - INFO - Epoch(train) [108][15/63] lr: 1.9885e-03 eta: 12:32:38 time: 0.4944 data_time: 0.0059 memory: 16395 loss: 3.0628 loss_prob: 1.9420 loss_thr: 0.7850 loss_db: 0.3358 2022/11/02 13:22:35 - mmengine - INFO - Epoch(train) [108][20/63] lr: 1.9885e-03 eta: 12:32:18 time: 0.5151 data_time: 0.0063 memory: 16395 loss: 3.0696 loss_prob: 1.9353 loss_thr: 0.8058 loss_db: 0.3285 2022/11/02 13:22:38 - mmengine - INFO - Epoch(train) [108][25/63] lr: 1.9885e-03 eta: 12:32:18 time: 0.5445 data_time: 0.0100 memory: 16395 loss: 2.9791 loss_prob: 1.8772 loss_thr: 0.7799 loss_db: 0.3220 2022/11/02 13:22:41 - mmengine - INFO - Epoch(train) [108][30/63] lr: 1.9885e-03 eta: 12:32:03 time: 0.5776 data_time: 0.0339 memory: 16395 loss: 3.0088 loss_prob: 1.9210 loss_thr: 0.7547 loss_db: 0.3332 2022/11/02 13:22:43 - mmengine - INFO - Epoch(train) [108][35/63] lr: 1.9885e-03 eta: 12:32:03 time: 0.5811 data_time: 0.0289 memory: 16395 loss: 3.0667 loss_prob: 1.9706 loss_thr: 0.7581 loss_db: 0.3380 2022/11/02 13:22:46 - mmengine - INFO - Epoch(train) [108][40/63] lr: 1.9885e-03 eta: 12:31:43 time: 0.5228 data_time: 0.0044 memory: 16395 loss: 3.0701 loss_prob: 1.9645 loss_thr: 0.7667 loss_db: 0.3388 2022/11/02 13:22:48 - mmengine - INFO - Epoch(train) [108][45/63] lr: 1.9885e-03 eta: 12:31:43 time: 0.4836 data_time: 0.0085 memory: 16395 loss: 3.1347 loss_prob: 1.9828 loss_thr: 0.7984 loss_db: 0.3535 2022/11/02 13:22:51 - mmengine - INFO - Epoch(train) [108][50/63] lr: 1.9885e-03 eta: 12:31:22 time: 0.5087 data_time: 0.0268 memory: 16395 loss: 3.1202 loss_prob: 1.9500 loss_thr: 0.8255 loss_db: 0.3448 2022/11/02 13:22:54 - mmengine - INFO - Epoch(train) [108][55/63] lr: 1.9885e-03 eta: 12:31:22 time: 0.5386 data_time: 0.0318 memory: 16395 loss: 3.2140 loss_prob: 2.0183 loss_thr: 0.8308 loss_db: 0.3649 2022/11/02 13:22:56 - mmengine - INFO - Epoch(train) [108][60/63] lr: 1.9885e-03 eta: 12:31:05 time: 0.5543 data_time: 0.0132 memory: 16395 loss: 3.0434 loss_prob: 1.9160 loss_thr: 0.7846 loss_db: 0.3428 2022/11/02 13:22:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:23:03 - mmengine - INFO - Epoch(train) [109][5/63] lr: 1.9869e-03 eta: 12:31:05 time: 0.7745 data_time: 0.2195 memory: 16395 loss: 3.0537 loss_prob: 1.9172 loss_thr: 0.7947 loss_db: 0.3419 2022/11/02 13:23:06 - mmengine - INFO - Epoch(train) [109][10/63] lr: 1.9869e-03 eta: 12:30:50 time: 0.7907 data_time: 0.2211 memory: 16395 loss: 3.2557 loss_prob: 2.0705 loss_thr: 0.8058 loss_db: 0.3794 2022/11/02 13:23:08 - mmengine - INFO - Epoch(train) [109][15/63] lr: 1.9869e-03 eta: 12:30:50 time: 0.5372 data_time: 0.0094 memory: 16395 loss: 3.1834 loss_prob: 2.0484 loss_thr: 0.7656 loss_db: 0.3694 2022/11/02 13:23:11 - mmengine - INFO - Epoch(train) [109][20/63] lr: 1.9869e-03 eta: 12:30:29 time: 0.5116 data_time: 0.0080 memory: 16395 loss: 3.1892 loss_prob: 2.0450 loss_thr: 0.7708 loss_db: 0.3735 2022/11/02 13:23:14 - mmengine - INFO - Epoch(train) [109][25/63] lr: 1.9869e-03 eta: 12:30:29 time: 0.5615 data_time: 0.0340 memory: 16395 loss: 3.3731 loss_prob: 2.1663 loss_thr: 0.7925 loss_db: 0.4143 2022/11/02 13:23:17 - mmengine - INFO - Epoch(train) [109][30/63] lr: 1.9869e-03 eta: 12:30:14 time: 0.5687 data_time: 0.0380 memory: 16395 loss: 3.2368 loss_prob: 2.0799 loss_thr: 0.7727 loss_db: 0.3842 2022/11/02 13:23:19 - mmengine - INFO - Epoch(train) [109][35/63] lr: 1.9869e-03 eta: 12:30:14 time: 0.5400 data_time: 0.0086 memory: 16395 loss: 2.9361 loss_prob: 1.8840 loss_thr: 0.7378 loss_db: 0.3144 2022/11/02 13:23:22 - mmengine - INFO - Epoch(train) [109][40/63] lr: 1.9869e-03 eta: 12:29:57 time: 0.5536 data_time: 0.0044 memory: 16395 loss: 2.9323 loss_prob: 1.8761 loss_thr: 0.7415 loss_db: 0.3147 2022/11/02 13:23:26 - mmengine - INFO - Epoch(train) [109][45/63] lr: 1.9869e-03 eta: 12:29:57 time: 0.6182 data_time: 0.0048 memory: 16395 loss: 3.0743 loss_prob: 1.9635 loss_thr: 0.7613 loss_db: 0.3495 2022/11/02 13:23:29 - mmengine - INFO - Epoch(train) [109][50/63] lr: 1.9869e-03 eta: 12:29:52 time: 0.6670 data_time: 0.0228 memory: 16395 loss: 3.1370 loss_prob: 1.9989 loss_thr: 0.7761 loss_db: 0.3620 2022/11/02 13:23:32 - mmengine - INFO - Epoch(train) [109][55/63] lr: 1.9869e-03 eta: 12:29:52 time: 0.6242 data_time: 0.0261 memory: 16395 loss: 3.0722 loss_prob: 1.9659 loss_thr: 0.7616 loss_db: 0.3447 2022/11/02 13:23:35 - mmengine - INFO - Epoch(train) [109][60/63] lr: 1.9869e-03 eta: 12:29:37 time: 0.5744 data_time: 0.0088 memory: 16395 loss: 2.8689 loss_prob: 1.8075 loss_thr: 0.7595 loss_db: 0.3019 2022/11/02 13:23:36 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:23:42 - mmengine - INFO - Epoch(train) [110][5/63] lr: 1.9853e-03 eta: 12:29:37 time: 0.8546 data_time: 0.2546 memory: 16395 loss: 2.9557 loss_prob: 1.8681 loss_thr: 0.7691 loss_db: 0.3185 2022/11/02 13:23:45 - mmengine - INFO - Epoch(train) [110][10/63] lr: 1.9853e-03 eta: 12:29:37 time: 0.9345 data_time: 0.2553 memory: 16395 loss: 2.9008 loss_prob: 1.8327 loss_thr: 0.7639 loss_db: 0.3042 2022/11/02 13:23:48 - mmengine - INFO - Epoch(train) [110][15/63] lr: 1.9853e-03 eta: 12:29:37 time: 0.6010 data_time: 0.0089 memory: 16395 loss: 2.7121 loss_prob: 1.6970 loss_thr: 0.7420 loss_db: 0.2731 2022/11/02 13:23:51 - mmengine - INFO - Epoch(train) [110][20/63] lr: 1.9853e-03 eta: 12:29:22 time: 0.5676 data_time: 0.0093 memory: 16395 loss: 2.9366 loss_prob: 1.8646 loss_thr: 0.7578 loss_db: 0.3142 2022/11/02 13:23:55 - mmengine - INFO - Epoch(train) [110][25/63] lr: 1.9853e-03 eta: 12:29:22 time: 0.6430 data_time: 0.0152 memory: 16395 loss: 3.0988 loss_prob: 1.9753 loss_thr: 0.7827 loss_db: 0.3409 2022/11/02 13:23:58 - mmengine - INFO - Epoch(train) [110][30/63] lr: 1.9853e-03 eta: 12:29:16 time: 0.6607 data_time: 0.0349 memory: 16395 loss: 2.8140 loss_prob: 1.7832 loss_thr: 0.7346 loss_db: 0.2962 2022/11/02 13:24:01 - mmengine - INFO - Epoch(train) [110][35/63] lr: 1.9853e-03 eta: 12:29:16 time: 0.6610 data_time: 0.0281 memory: 16395 loss: 2.7312 loss_prob: 1.7261 loss_thr: 0.7207 loss_db: 0.2844 2022/11/02 13:24:04 - mmengine - INFO - Epoch(train) [110][40/63] lr: 1.9853e-03 eta: 12:29:08 time: 0.6343 data_time: 0.0073 memory: 16395 loss: 3.1165 loss_prob: 1.9983 loss_thr: 0.7663 loss_db: 0.3520 2022/11/02 13:24:07 - mmengine - INFO - Epoch(train) [110][45/63] lr: 1.9853e-03 eta: 12:29:08 time: 0.5726 data_time: 0.0060 memory: 16395 loss: 3.6773 loss_prob: 2.3987 loss_thr: 0.8161 loss_db: 0.4625 2022/11/02 13:24:10 - mmengine - INFO - Epoch(train) [110][50/63] lr: 1.9853e-03 eta: 12:28:55 time: 0.5940 data_time: 0.0217 memory: 16395 loss: 3.6391 loss_prob: 2.3816 loss_thr: 0.7901 loss_db: 0.4674 2022/11/02 13:24:13 - mmengine - INFO - Epoch(train) [110][55/63] lr: 1.9853e-03 eta: 12:28:55 time: 0.6084 data_time: 0.0203 memory: 16395 loss: 3.2463 loss_prob: 2.1207 loss_thr: 0.7425 loss_db: 0.3831 2022/11/02 13:24:16 - mmengine - INFO - Epoch(train) [110][60/63] lr: 1.9853e-03 eta: 12:28:44 time: 0.6098 data_time: 0.0064 memory: 16395 loss: 3.2352 loss_prob: 2.0955 loss_thr: 0.7556 loss_db: 0.3841 2022/11/02 13:24:17 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:24:24 - mmengine - INFO - Epoch(train) [111][5/63] lr: 1.9836e-03 eta: 12:28:44 time: 0.9077 data_time: 0.2334 memory: 16395 loss: 3.2997 loss_prob: 2.1363 loss_thr: 0.7803 loss_db: 0.3830 2022/11/02 13:24:26 - mmengine - INFO - Epoch(train) [111][10/63] lr: 1.9836e-03 eta: 12:28:41 time: 0.9089 data_time: 0.2307 memory: 16395 loss: 2.9446 loss_prob: 1.8808 loss_thr: 0.7464 loss_db: 0.3174 2022/11/02 13:24:29 - mmengine - INFO - Epoch(train) [111][15/63] lr: 1.9836e-03 eta: 12:28:41 time: 0.5214 data_time: 0.0052 memory: 16395 loss: 3.2167 loss_prob: 2.0371 loss_thr: 0.8063 loss_db: 0.3734 2022/11/02 13:24:32 - mmengine - INFO - Epoch(train) [111][20/63] lr: 1.9836e-03 eta: 12:28:22 time: 0.5211 data_time: 0.0049 memory: 16395 loss: 3.3273 loss_prob: 2.1167 loss_thr: 0.8236 loss_db: 0.3870 2022/11/02 13:24:34 - mmengine - INFO - Epoch(train) [111][25/63] lr: 1.9836e-03 eta: 12:28:22 time: 0.5168 data_time: 0.0071 memory: 16395 loss: 3.2059 loss_prob: 2.0523 loss_thr: 0.7900 loss_db: 0.3636 2022/11/02 13:24:37 - mmengine - INFO - Epoch(train) [111][30/63] lr: 1.9836e-03 eta: 12:28:04 time: 0.5418 data_time: 0.0366 memory: 16395 loss: 3.2119 loss_prob: 2.0475 loss_thr: 0.7988 loss_db: 0.3656 2022/11/02 13:24:40 - mmengine - INFO - Epoch(train) [111][35/63] lr: 1.9836e-03 eta: 12:28:04 time: 0.5456 data_time: 0.0373 memory: 16395 loss: 3.1307 loss_prob: 1.9881 loss_thr: 0.7956 loss_db: 0.3470 2022/11/02 13:24:42 - mmengine - INFO - Epoch(train) [111][40/63] lr: 1.9836e-03 eta: 12:27:45 time: 0.5295 data_time: 0.0078 memory: 16395 loss: 3.0223 loss_prob: 1.9128 loss_thr: 0.7798 loss_db: 0.3298 2022/11/02 13:24:45 - mmengine - INFO - Epoch(train) [111][45/63] lr: 1.9836e-03 eta: 12:27:45 time: 0.5545 data_time: 0.0052 memory: 16395 loss: 2.9923 loss_prob: 1.8782 loss_thr: 0.7938 loss_db: 0.3203 2022/11/02 13:24:48 - mmengine - INFO - Epoch(train) [111][50/63] lr: 1.9836e-03 eta: 12:27:31 time: 0.5785 data_time: 0.0170 memory: 16395 loss: 3.0315 loss_prob: 1.9175 loss_thr: 0.7891 loss_db: 0.3250 2022/11/02 13:24:51 - mmengine - INFO - Epoch(train) [111][55/63] lr: 1.9836e-03 eta: 12:27:31 time: 0.5734 data_time: 0.0239 memory: 16395 loss: 2.9909 loss_prob: 1.8839 loss_thr: 0.7875 loss_db: 0.3194 2022/11/02 13:24:53 - mmengine - INFO - Epoch(train) [111][60/63] lr: 1.9836e-03 eta: 12:27:13 time: 0.5298 data_time: 0.0125 memory: 16395 loss: 3.0262 loss_prob: 1.9215 loss_thr: 0.7719 loss_db: 0.3328 2022/11/02 13:24:55 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:25:00 - mmengine - INFO - Epoch(train) [112][5/63] lr: 1.9820e-03 eta: 12:27:13 time: 0.7560 data_time: 0.2281 memory: 16395 loss: 3.0048 loss_prob: 1.9358 loss_thr: 0.7331 loss_db: 0.3360 2022/11/02 13:25:01 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:25:03 - mmengine - INFO - Epoch(train) [112][10/63] lr: 1.9820e-03 eta: 12:27:01 time: 0.8152 data_time: 0.2312 memory: 16395 loss: 2.7947 loss_prob: 1.7740 loss_thr: 0.7230 loss_db: 0.2977 2022/11/02 13:25:06 - mmengine - INFO - Epoch(train) [112][15/63] lr: 1.9820e-03 eta: 12:27:01 time: 0.5790 data_time: 0.0087 memory: 16395 loss: 2.8638 loss_prob: 1.8023 loss_thr: 0.7462 loss_db: 0.3153 2022/11/02 13:25:09 - mmengine - INFO - Epoch(train) [112][20/63] lr: 1.9820e-03 eta: 12:26:47 time: 0.5827 data_time: 0.0049 memory: 16395 loss: 3.2172 loss_prob: 2.0421 loss_thr: 0.8035 loss_db: 0.3716 2022/11/02 13:25:12 - mmengine - INFO - Epoch(train) [112][25/63] lr: 1.9820e-03 eta: 12:26:47 time: 0.5675 data_time: 0.0258 memory: 16395 loss: 3.0824 loss_prob: 1.9559 loss_thr: 0.7885 loss_db: 0.3379 2022/11/02 13:25:14 - mmengine - INFO - Epoch(train) [112][30/63] lr: 1.9820e-03 eta: 12:26:32 time: 0.5572 data_time: 0.0316 memory: 16395 loss: 2.8993 loss_prob: 1.8246 loss_thr: 0.7637 loss_db: 0.3110 2022/11/02 13:25:17 - mmengine - INFO - Epoch(train) [112][35/63] lr: 1.9820e-03 eta: 12:26:32 time: 0.5489 data_time: 0.0148 memory: 16395 loss: 3.1934 loss_prob: 2.0375 loss_thr: 0.7857 loss_db: 0.3702 2022/11/02 13:25:20 - mmengine - INFO - Epoch(train) [112][40/63] lr: 1.9820e-03 eta: 12:26:16 time: 0.5590 data_time: 0.0091 memory: 16395 loss: 3.0876 loss_prob: 1.9612 loss_thr: 0.7802 loss_db: 0.3462 2022/11/02 13:25:23 - mmengine - INFO - Epoch(train) [112][45/63] lr: 1.9820e-03 eta: 12:26:16 time: 0.5569 data_time: 0.0059 memory: 16395 loss: 2.9183 loss_prob: 1.8334 loss_thr: 0.7734 loss_db: 0.3114 2022/11/02 13:25:25 - mmengine - INFO - Epoch(train) [112][50/63] lr: 1.9820e-03 eta: 12:25:57 time: 0.5307 data_time: 0.0147 memory: 16395 loss: 2.9808 loss_prob: 1.8828 loss_thr: 0.7751 loss_db: 0.3229 2022/11/02 13:25:28 - mmengine - INFO - Epoch(train) [112][55/63] lr: 1.9820e-03 eta: 12:25:57 time: 0.5264 data_time: 0.0182 memory: 16395 loss: 3.0679 loss_prob: 1.9631 loss_thr: 0.7658 loss_db: 0.3390 2022/11/02 13:25:30 - mmengine - INFO - Epoch(train) [112][60/63] lr: 1.9820e-03 eta: 12:25:37 time: 0.5115 data_time: 0.0116 memory: 16395 loss: 3.1089 loss_prob: 1.9994 loss_thr: 0.7631 loss_db: 0.3464 2022/11/02 13:25:32 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:25:36 - mmengine - INFO - Epoch(train) [113][5/63] lr: 1.9803e-03 eta: 12:25:37 time: 0.7034 data_time: 0.1977 memory: 16395 loss: 2.9355 loss_prob: 1.8574 loss_thr: 0.7662 loss_db: 0.3119 2022/11/02 13:25:39 - mmengine - INFO - Epoch(train) [113][10/63] lr: 1.9803e-03 eta: 12:25:17 time: 0.7310 data_time: 0.1988 memory: 16395 loss: 3.0560 loss_prob: 1.9459 loss_thr: 0.7814 loss_db: 0.3287 2022/11/02 13:25:42 - mmengine - INFO - Epoch(train) [113][15/63] lr: 1.9803e-03 eta: 12:25:17 time: 0.5185 data_time: 0.0062 memory: 16395 loss: 3.3375 loss_prob: 2.1417 loss_thr: 0.8055 loss_db: 0.3903 2022/11/02 13:25:44 - mmengine - INFO - Epoch(train) [113][20/63] lr: 1.9803e-03 eta: 12:24:58 time: 0.5220 data_time: 0.0061 memory: 16395 loss: 3.3625 loss_prob: 2.1666 loss_thr: 0.7989 loss_db: 0.3971 2022/11/02 13:25:47 - mmengine - INFO - Epoch(train) [113][25/63] lr: 1.9803e-03 eta: 12:24:58 time: 0.5464 data_time: 0.0218 memory: 16395 loss: 3.0820 loss_prob: 1.9733 loss_thr: 0.7591 loss_db: 0.3495 2022/11/02 13:25:50 - mmengine - INFO - Epoch(train) [113][30/63] lr: 1.9803e-03 eta: 12:24:41 time: 0.5483 data_time: 0.0332 memory: 16395 loss: 2.9240 loss_prob: 1.8478 loss_thr: 0.7554 loss_db: 0.3208 2022/11/02 13:25:52 - mmengine - INFO - Epoch(train) [113][35/63] lr: 1.9803e-03 eta: 12:24:41 time: 0.5317 data_time: 0.0171 memory: 16395 loss: 2.8837 loss_prob: 1.8001 loss_thr: 0.7805 loss_db: 0.3032 2022/11/02 13:25:56 - mmengine - INFO - Epoch(train) [113][40/63] lr: 1.9803e-03 eta: 12:24:28 time: 0.5782 data_time: 0.0050 memory: 16395 loss: 2.9758 loss_prob: 1.8695 loss_thr: 0.7855 loss_db: 0.3208 2022/11/02 13:25:58 - mmengine - INFO - Epoch(train) [113][45/63] lr: 1.9803e-03 eta: 12:24:28 time: 0.5987 data_time: 0.0068 memory: 16395 loss: 2.9640 loss_prob: 1.8712 loss_thr: 0.7722 loss_db: 0.3206 2022/11/02 13:26:02 - mmengine - INFO - Epoch(train) [113][50/63] lr: 1.9803e-03 eta: 12:24:20 time: 0.6347 data_time: 0.0246 memory: 16395 loss: 2.9495 loss_prob: 1.8699 loss_thr: 0.7579 loss_db: 0.3217 2022/11/02 13:26:05 - mmengine - INFO - Epoch(train) [113][55/63] lr: 1.9803e-03 eta: 12:24:20 time: 0.6634 data_time: 0.0257 memory: 16395 loss: 2.8773 loss_prob: 1.8246 loss_thr: 0.7405 loss_db: 0.3122 2022/11/02 13:26:08 - mmengine - INFO - Epoch(train) [113][60/63] lr: 1.9803e-03 eta: 12:24:10 time: 0.6189 data_time: 0.0076 memory: 16395 loss: 3.0732 loss_prob: 1.9547 loss_thr: 0.7707 loss_db: 0.3478 2022/11/02 13:26:10 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:26:16 - mmengine - INFO - Epoch(train) [114][5/63] lr: 1.9787e-03 eta: 12:24:10 time: 0.8570 data_time: 0.2176 memory: 16395 loss: 2.9658 loss_prob: 1.8795 loss_thr: 0.7635 loss_db: 0.3228 2022/11/02 13:26:18 - mmengine - INFO - Epoch(train) [114][10/63] lr: 1.9787e-03 eta: 12:24:05 time: 0.8897 data_time: 0.2180 memory: 16395 loss: 2.9384 loss_prob: 1.8514 loss_thr: 0.7680 loss_db: 0.3190 2022/11/02 13:26:22 - mmengine - INFO - Epoch(train) [114][15/63] lr: 1.9787e-03 eta: 12:24:05 time: 0.6026 data_time: 0.0050 memory: 16395 loss: 3.0008 loss_prob: 1.8965 loss_thr: 0.7734 loss_db: 0.3309 2022/11/02 13:26:25 - mmengine - INFO - Epoch(train) [114][20/63] lr: 1.9787e-03 eta: 12:23:57 time: 0.6325 data_time: 0.0051 memory: 16395 loss: 2.8534 loss_prob: 1.8112 loss_thr: 0.7340 loss_db: 0.3082 2022/11/02 13:26:28 - mmengine - INFO - Epoch(train) [114][25/63] lr: 1.9787e-03 eta: 12:23:57 time: 0.6064 data_time: 0.0308 memory: 16395 loss: 2.8959 loss_prob: 1.8341 loss_thr: 0.7473 loss_db: 0.3146 2022/11/02 13:26:31 - mmengine - INFO - Epoch(train) [114][30/63] lr: 1.9787e-03 eta: 12:23:49 time: 0.6362 data_time: 0.0382 memory: 16395 loss: 2.8086 loss_prob: 1.7780 loss_thr: 0.7340 loss_db: 0.2966 2022/11/02 13:26:34 - mmengine - INFO - Epoch(train) [114][35/63] lr: 1.9787e-03 eta: 12:23:49 time: 0.6725 data_time: 0.0131 memory: 16395 loss: 2.9308 loss_prob: 1.8671 loss_thr: 0.7501 loss_db: 0.3136 2022/11/02 13:26:38 - mmengine - INFO - Epoch(train) [114][40/63] lr: 1.9787e-03 eta: 12:23:44 time: 0.6677 data_time: 0.0055 memory: 16395 loss: 3.0061 loss_prob: 1.9042 loss_thr: 0.7738 loss_db: 0.3281 2022/11/02 13:26:42 - mmengine - INFO - Epoch(train) [114][45/63] lr: 1.9787e-03 eta: 12:23:44 time: 0.7731 data_time: 0.0050 memory: 16395 loss: 2.7175 loss_prob: 1.6887 loss_thr: 0.7445 loss_db: 0.2842 2022/11/02 13:26:46 - mmengine - INFO - Epoch(train) [114][50/63] lr: 1.9787e-03 eta: 12:23:51 time: 0.7970 data_time: 0.0234 memory: 16395 loss: 2.7225 loss_prob: 1.6945 loss_thr: 0.7498 loss_db: 0.2782 2022/11/02 13:26:49 - mmengine - INFO - Epoch(train) [114][55/63] lr: 1.9787e-03 eta: 12:23:51 time: 0.6761 data_time: 0.0275 memory: 16395 loss: 2.8786 loss_prob: 1.8193 loss_thr: 0.7532 loss_db: 0.3062 2022/11/02 13:26:53 - mmengine - INFO - Epoch(train) [114][60/63] lr: 1.9787e-03 eta: 12:23:49 time: 0.6979 data_time: 0.0093 memory: 16395 loss: 3.0283 loss_prob: 1.9203 loss_thr: 0.7690 loss_db: 0.3391 2022/11/02 13:26:54 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:27:00 - mmengine - INFO - Epoch(train) [115][5/63] lr: 1.9771e-03 eta: 12:23:49 time: 0.7875 data_time: 0.2099 memory: 16395 loss: 2.7489 loss_prob: 1.7229 loss_thr: 0.7360 loss_db: 0.2900 2022/11/02 13:27:02 - mmengine - INFO - Epoch(train) [115][10/63] lr: 1.9771e-03 eta: 12:23:38 time: 0.8200 data_time: 0.2199 memory: 16395 loss: 2.7881 loss_prob: 1.7677 loss_thr: 0.7246 loss_db: 0.2957 2022/11/02 13:27:05 - mmengine - INFO - Epoch(train) [115][15/63] lr: 1.9771e-03 eta: 12:23:38 time: 0.5186 data_time: 0.0159 memory: 16395 loss: 2.7566 loss_prob: 1.7350 loss_thr: 0.7337 loss_db: 0.2878 2022/11/02 13:27:08 - mmengine - INFO - Epoch(train) [115][20/63] lr: 1.9771e-03 eta: 12:23:21 time: 0.5364 data_time: 0.0043 memory: 16395 loss: 2.7601 loss_prob: 1.7299 loss_thr: 0.7416 loss_db: 0.2886 2022/11/02 13:27:10 - mmengine - INFO - Epoch(train) [115][25/63] lr: 1.9771e-03 eta: 12:23:21 time: 0.5508 data_time: 0.0198 memory: 16395 loss: 2.9729 loss_prob: 1.8871 loss_thr: 0.7675 loss_db: 0.3183 2022/11/02 13:27:13 - mmengine - INFO - Epoch(train) [115][30/63] lr: 1.9771e-03 eta: 12:23:06 time: 0.5632 data_time: 0.0204 memory: 16395 loss: 2.8884 loss_prob: 1.8307 loss_thr: 0.7549 loss_db: 0.3028 2022/11/02 13:27:16 - mmengine - INFO - Epoch(train) [115][35/63] lr: 1.9771e-03 eta: 12:23:06 time: 0.6087 data_time: 0.0361 memory: 16395 loss: 2.9625 loss_prob: 1.9090 loss_thr: 0.7291 loss_db: 0.3244 2022/11/02 13:27:19 - mmengine - INFO - Epoch(train) [115][40/63] lr: 1.9771e-03 eta: 12:22:54 time: 0.5982 data_time: 0.0356 memory: 16395 loss: 3.1465 loss_prob: 2.0389 loss_thr: 0.7478 loss_db: 0.3598 2022/11/02 13:27:22 - mmengine - INFO - Epoch(train) [115][45/63] lr: 1.9771e-03 eta: 12:22:54 time: 0.5688 data_time: 0.0047 memory: 16395 loss: 3.2902 loss_prob: 2.0979 loss_thr: 0.8075 loss_db: 0.3847 2022/11/02 13:27:25 - mmengine - INFO - Epoch(train) [115][50/63] lr: 1.9771e-03 eta: 12:22:38 time: 0.5497 data_time: 0.0143 memory: 16395 loss: 3.1107 loss_prob: 1.9758 loss_thr: 0.7835 loss_db: 0.3513 2022/11/02 13:27:27 - mmengine - INFO - Epoch(train) [115][55/63] lr: 1.9771e-03 eta: 12:22:38 time: 0.5231 data_time: 0.0157 memory: 16395 loss: 3.0150 loss_prob: 1.9094 loss_thr: 0.7716 loss_db: 0.3340 2022/11/02 13:27:30 - mmengine - INFO - Epoch(train) [115][60/63] lr: 1.9771e-03 eta: 12:22:22 time: 0.5546 data_time: 0.0118 memory: 16395 loss: 3.0589 loss_prob: 1.9273 loss_thr: 0.7855 loss_db: 0.3462 2022/11/02 13:27:32 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:27:36 - mmengine - INFO - Epoch(train) [116][5/63] lr: 1.9754e-03 eta: 12:22:22 time: 0.7332 data_time: 0.2078 memory: 16395 loss: 2.9710 loss_prob: 1.8804 loss_thr: 0.7642 loss_db: 0.3263 2022/11/02 13:27:39 - mmengine - INFO - Epoch(train) [116][10/63] lr: 1.9754e-03 eta: 12:22:02 time: 0.7269 data_time: 0.2110 memory: 16395 loss: 3.0650 loss_prob: 1.9571 loss_thr: 0.7574 loss_db: 0.3505 2022/11/02 13:27:41 - mmengine - INFO - Epoch(train) [116][15/63] lr: 1.9754e-03 eta: 12:22:02 time: 0.4926 data_time: 0.0077 memory: 16395 loss: 3.1576 loss_prob: 2.0154 loss_thr: 0.7719 loss_db: 0.3704 2022/11/02 13:27:44 - mmengine - INFO - Epoch(train) [116][20/63] lr: 1.9754e-03 eta: 12:21:43 time: 0.5107 data_time: 0.0059 memory: 16395 loss: 3.0367 loss_prob: 1.9262 loss_thr: 0.7719 loss_db: 0.3386 2022/11/02 13:27:47 - mmengine - INFO - Epoch(train) [116][25/63] lr: 1.9754e-03 eta: 12:21:43 time: 0.6167 data_time: 0.0414 memory: 16395 loss: 2.9234 loss_prob: 1.8587 loss_thr: 0.7481 loss_db: 0.3166 2022/11/02 13:27:50 - mmengine - INFO - Epoch(train) [116][30/63] lr: 1.9754e-03 eta: 12:21:32 time: 0.6109 data_time: 0.0402 memory: 16395 loss: 2.7069 loss_prob: 1.7069 loss_thr: 0.7218 loss_db: 0.2783 2022/11/02 13:27:53 - mmengine - INFO - Epoch(train) [116][35/63] lr: 1.9754e-03 eta: 12:21:32 time: 0.5454 data_time: 0.0064 memory: 16395 loss: 2.9062 loss_prob: 1.8576 loss_thr: 0.7315 loss_db: 0.3170 2022/11/02 13:27:56 - mmengine - INFO - Epoch(train) [116][40/63] lr: 1.9754e-03 eta: 12:21:19 time: 0.5760 data_time: 0.0083 memory: 16395 loss: 3.0735 loss_prob: 1.9789 loss_thr: 0.7471 loss_db: 0.3476 2022/11/02 13:27:58 - mmengine - INFO - Epoch(train) [116][45/63] lr: 1.9754e-03 eta: 12:21:19 time: 0.5548 data_time: 0.0087 memory: 16395 loss: 2.8132 loss_prob: 1.7795 loss_thr: 0.7365 loss_db: 0.2973 2022/11/02 13:28:01 - mmengine - INFO - Epoch(train) [116][50/63] lr: 1.9754e-03 eta: 12:21:01 time: 0.5283 data_time: 0.0227 memory: 16395 loss: 2.8295 loss_prob: 1.7675 loss_thr: 0.7741 loss_db: 0.2879 2022/11/02 13:28:04 - mmengine - INFO - Epoch(train) [116][55/63] lr: 1.9754e-03 eta: 12:21:01 time: 0.5098 data_time: 0.0206 memory: 16395 loss: 2.9475 loss_prob: 1.8642 loss_thr: 0.7738 loss_db: 0.3095 2022/11/02 13:28:06 - mmengine - INFO - Epoch(train) [116][60/63] lr: 1.9754e-03 eta: 12:20:43 time: 0.5319 data_time: 0.0079 memory: 16395 loss: 2.8540 loss_prob: 1.8120 loss_thr: 0.7353 loss_db: 0.3067 2022/11/02 13:28:08 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:28:13 - mmengine - INFO - Epoch(train) [117][5/63] lr: 1.9738e-03 eta: 12:20:43 time: 0.7497 data_time: 0.1852 memory: 16395 loss: 2.8913 loss_prob: 1.8333 loss_thr: 0.7370 loss_db: 0.3210 2022/11/02 13:28:16 - mmengine - INFO - Epoch(train) [117][10/63] lr: 1.9738e-03 eta: 12:20:30 time: 0.7939 data_time: 0.1952 memory: 16395 loss: 2.9840 loss_prob: 1.8941 loss_thr: 0.7570 loss_db: 0.3329 2022/11/02 13:28:18 - mmengine - INFO - Epoch(train) [117][15/63] lr: 1.9738e-03 eta: 12:20:30 time: 0.5431 data_time: 0.0172 memory: 16395 loss: 2.7414 loss_prob: 1.7221 loss_thr: 0.7308 loss_db: 0.2885 2022/11/02 13:28:21 - mmengine - INFO - Epoch(train) [117][20/63] lr: 1.9738e-03 eta: 12:20:12 time: 0.5281 data_time: 0.0070 memory: 16395 loss: 2.5510 loss_prob: 1.6014 loss_thr: 0.6809 loss_db: 0.2687 2022/11/02 13:28:24 - mmengine - INFO - Epoch(train) [117][25/63] lr: 1.9738e-03 eta: 12:20:12 time: 0.5273 data_time: 0.0104 memory: 16395 loss: 2.6778 loss_prob: 1.6994 loss_thr: 0.6949 loss_db: 0.2835 2022/11/02 13:28:26 - mmengine - INFO - Epoch(train) [117][30/63] lr: 1.9738e-03 eta: 12:19:54 time: 0.5337 data_time: 0.0286 memory: 16395 loss: 2.7085 loss_prob: 1.7072 loss_thr: 0.7223 loss_db: 0.2791 2022/11/02 13:28:29 - mmengine - INFO - Epoch(train) [117][35/63] lr: 1.9738e-03 eta: 12:19:54 time: 0.5305 data_time: 0.0314 memory: 16395 loss: 2.7344 loss_prob: 1.7158 loss_thr: 0.7332 loss_db: 0.2855 2022/11/02 13:28:31 - mmengine - INFO - Epoch(train) [117][40/63] lr: 1.9738e-03 eta: 12:19:34 time: 0.5022 data_time: 0.0145 memory: 16395 loss: 2.8852 loss_prob: 1.8170 loss_thr: 0.7630 loss_db: 0.3052 2022/11/02 13:28:34 - mmengine - INFO - Epoch(train) [117][45/63] lr: 1.9738e-03 eta: 12:19:34 time: 0.5098 data_time: 0.0064 memory: 16395 loss: 3.1087 loss_prob: 1.9726 loss_thr: 0.7960 loss_db: 0.3402 2022/11/02 13:28:37 - mmengine - INFO - Epoch(train) [117][50/63] lr: 1.9738e-03 eta: 12:19:22 time: 0.5925 data_time: 0.0123 memory: 16395 loss: 3.0188 loss_prob: 1.9163 loss_thr: 0.7713 loss_db: 0.3312 2022/11/02 13:28:41 - mmengine - INFO - Epoch(train) [117][55/63] lr: 1.9738e-03 eta: 12:19:22 time: 0.7070 data_time: 0.0212 memory: 16395 loss: 2.6347 loss_prob: 1.6461 loss_thr: 0.7199 loss_db: 0.2686 2022/11/02 13:28:45 - mmengine - INFO - Epoch(train) [117][60/63] lr: 1.9738e-03 eta: 12:19:25 time: 0.7503 data_time: 0.0149 memory: 16395 loss: 2.7101 loss_prob: 1.7016 loss_thr: 0.7290 loss_db: 0.2796 2022/11/02 13:28:46 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:28:52 - mmengine - INFO - Epoch(train) [118][5/63] lr: 1.9721e-03 eta: 12:19:25 time: 0.9406 data_time: 0.2092 memory: 16395 loss: 2.8219 loss_prob: 1.7783 loss_thr: 0.7485 loss_db: 0.2951 2022/11/02 13:28:56 - mmengine - INFO - Epoch(train) [118][10/63] lr: 1.9721e-03 eta: 12:19:26 time: 0.9486 data_time: 0.2076 memory: 16395 loss: 3.0237 loss_prob: 1.9211 loss_thr: 0.7749 loss_db: 0.3277 2022/11/02 13:28:59 - mmengine - INFO - Epoch(train) [118][15/63] lr: 1.9721e-03 eta: 12:19:26 time: 0.6742 data_time: 0.0048 memory: 16395 loss: 2.8702 loss_prob: 1.8217 loss_thr: 0.7424 loss_db: 0.3061 2022/11/02 13:29:03 - mmengine - INFO - Epoch(train) [118][20/63] lr: 1.9721e-03 eta: 12:19:32 time: 0.7806 data_time: 0.0056 memory: 16395 loss: 2.8841 loss_prob: 1.8213 loss_thr: 0.7460 loss_db: 0.3168 2022/11/02 13:29:06 - mmengine - INFO - Epoch(train) [118][25/63] lr: 1.9721e-03 eta: 12:19:32 time: 0.7104 data_time: 0.0217 memory: 16395 loss: 2.9542 loss_prob: 1.8562 loss_thr: 0.7719 loss_db: 0.3261 2022/11/02 13:29:10 - mmengine - INFO - Epoch(train) [118][30/63] lr: 1.9721e-03 eta: 12:19:27 time: 0.6679 data_time: 0.0397 memory: 16395 loss: 2.7947 loss_prob: 1.7621 loss_thr: 0.7374 loss_db: 0.2952 2022/11/02 13:29:13 - mmengine - INFO - Epoch(train) [118][35/63] lr: 1.9721e-03 eta: 12:19:27 time: 0.6830 data_time: 0.0241 memory: 16395 loss: 2.7585 loss_prob: 1.7364 loss_thr: 0.7334 loss_db: 0.2887 2022/11/02 13:29:16 - mmengine - INFO - Epoch(train) [118][40/63] lr: 1.9721e-03 eta: 12:19:19 time: 0.6312 data_time: 0.0055 memory: 16395 loss: 2.8833 loss_prob: 1.8090 loss_thr: 0.7617 loss_db: 0.3126 2022/11/02 13:29:19 - mmengine - INFO - Epoch(train) [118][45/63] lr: 1.9721e-03 eta: 12:19:19 time: 0.6113 data_time: 0.0047 memory: 16395 loss: 3.0597 loss_prob: 1.9418 loss_thr: 0.7771 loss_db: 0.3407 2022/11/02 13:29:23 - mmengine - INFO - Epoch(train) [118][50/63] lr: 1.9721e-03 eta: 12:19:12 time: 0.6516 data_time: 0.0265 memory: 16395 loss: 2.7947 loss_prob: 1.7532 loss_thr: 0.7464 loss_db: 0.2951 2022/11/02 13:29:25 - mmengine - INFO - Epoch(train) [118][55/63] lr: 1.9721e-03 eta: 12:19:12 time: 0.6078 data_time: 0.0269 memory: 16395 loss: 2.8109 loss_prob: 1.7559 loss_thr: 0.7556 loss_db: 0.2994 2022/11/02 13:29:29 - mmengine - INFO - Epoch(train) [118][60/63] lr: 1.9721e-03 eta: 12:19:00 time: 0.5918 data_time: 0.0050 memory: 16395 loss: 2.8526 loss_prob: 1.8010 loss_thr: 0.7442 loss_db: 0.3074 2022/11/02 13:29:31 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:29:36 - mmengine - INFO - Epoch(train) [119][5/63] lr: 1.9705e-03 eta: 12:19:00 time: 0.8999 data_time: 0.2412 memory: 16395 loss: 2.6161 loss_prob: 1.6229 loss_thr: 0.7229 loss_db: 0.2702 2022/11/02 13:29:39 - mmengine - INFO - Epoch(train) [119][10/63] lr: 1.9705e-03 eta: 12:18:50 time: 0.8229 data_time: 0.2412 memory: 16395 loss: 2.8073 loss_prob: 1.7679 loss_thr: 0.7408 loss_db: 0.2985 2022/11/02 13:29:42 - mmengine - INFO - Epoch(train) [119][15/63] lr: 1.9705e-03 eta: 12:18:50 time: 0.5666 data_time: 0.0090 memory: 16395 loss: 2.6520 loss_prob: 1.6783 loss_thr: 0.6948 loss_db: 0.2788 2022/11/02 13:29:45 - mmengine - INFO - Epoch(train) [119][20/63] lr: 1.9705e-03 eta: 12:18:37 time: 0.5788 data_time: 0.0089 memory: 16395 loss: 2.6252 loss_prob: 1.6469 loss_thr: 0.6983 loss_db: 0.2800 2022/11/02 13:29:47 - mmengine - INFO - Epoch(train) [119][25/63] lr: 1.9705e-03 eta: 12:18:37 time: 0.5530 data_time: 0.0047 memory: 16395 loss: 2.9812 loss_prob: 1.8994 loss_thr: 0.7462 loss_db: 0.3356 2022/11/02 13:29:50 - mmengine - INFO - Epoch(train) [119][30/63] lr: 1.9705e-03 eta: 12:18:22 time: 0.5660 data_time: 0.0299 memory: 16395 loss: 3.0552 loss_prob: 1.9422 loss_thr: 0.7749 loss_db: 0.3381 2022/11/02 13:29:53 - mmengine - INFO - Epoch(train) [119][35/63] lr: 1.9705e-03 eta: 12:18:22 time: 0.5669 data_time: 0.0337 memory: 16395 loss: 2.7889 loss_prob: 1.7449 loss_thr: 0.7539 loss_db: 0.2902 2022/11/02 13:29:56 - mmengine - INFO - Epoch(train) [119][40/63] lr: 1.9705e-03 eta: 12:18:07 time: 0.5531 data_time: 0.0111 memory: 16395 loss: 2.7288 loss_prob: 1.7038 loss_thr: 0.7452 loss_db: 0.2797 2022/11/02 13:29:59 - mmengine - INFO - Epoch(train) [119][45/63] lr: 1.9705e-03 eta: 12:18:07 time: 0.5557 data_time: 0.0073 memory: 16395 loss: 2.8819 loss_prob: 1.8168 loss_thr: 0.7579 loss_db: 0.3072 2022/11/02 13:30:02 - mmengine - INFO - Epoch(train) [119][50/63] lr: 1.9705e-03 eta: 12:17:55 time: 0.5846 data_time: 0.0155 memory: 16395 loss: 2.9002 loss_prob: 1.8581 loss_thr: 0.7240 loss_db: 0.3182 2022/11/02 13:30:04 - mmengine - INFO - Epoch(train) [119][55/63] lr: 1.9705e-03 eta: 12:17:55 time: 0.5658 data_time: 0.0179 memory: 16395 loss: 2.9765 loss_prob: 1.9383 loss_thr: 0.6967 loss_db: 0.3415 2022/11/02 13:30:07 - mmengine - INFO - Epoch(train) [119][60/63] lr: 1.9705e-03 eta: 12:17:38 time: 0.5333 data_time: 0.0090 memory: 16395 loss: 3.0282 loss_prob: 1.9604 loss_thr: 0.7263 loss_db: 0.3416 2022/11/02 13:30:08 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:30:13 - mmengine - INFO - Epoch(train) [120][5/63] lr: 1.9689e-03 eta: 12:17:38 time: 0.7409 data_time: 0.2065 memory: 16395 loss: 3.0086 loss_prob: 1.9112 loss_thr: 0.7747 loss_db: 0.3227 2022/11/02 13:30:16 - mmengine - INFO - Epoch(train) [120][10/63] lr: 1.9689e-03 eta: 12:17:22 time: 0.7621 data_time: 0.2046 memory: 16395 loss: 2.8853 loss_prob: 1.8415 loss_thr: 0.7375 loss_db: 0.3063 2022/11/02 13:30:19 - mmengine - INFO - Epoch(train) [120][15/63] lr: 1.9689e-03 eta: 12:17:22 time: 0.6068 data_time: 0.0419 memory: 16395 loss: 2.9186 loss_prob: 1.8433 loss_thr: 0.7625 loss_db: 0.3129 2022/11/02 13:30:22 - mmengine - INFO - Epoch(train) [120][20/63] lr: 1.9689e-03 eta: 12:17:14 time: 0.6361 data_time: 0.0409 memory: 16395 loss: 2.7711 loss_prob: 1.7220 loss_thr: 0.7611 loss_db: 0.2880 2022/11/02 13:30:25 - mmengine - INFO - Epoch(train) [120][25/63] lr: 1.9689e-03 eta: 12:17:14 time: 0.5687 data_time: 0.0096 memory: 16395 loss: 2.7206 loss_prob: 1.7033 loss_thr: 0.7333 loss_db: 0.2840 2022/11/02 13:30:28 - mmengine - INFO - Epoch(train) [120][30/63] lr: 1.9689e-03 eta: 12:16:57 time: 0.5377 data_time: 0.0130 memory: 16395 loss: 2.8969 loss_prob: 1.8352 loss_thr: 0.7406 loss_db: 0.3211 2022/11/02 13:30:30 - mmengine - INFO - Epoch(train) [120][35/63] lr: 1.9689e-03 eta: 12:16:57 time: 0.5008 data_time: 0.0087 memory: 16395 loss: 3.0066 loss_prob: 1.9076 loss_thr: 0.7647 loss_db: 0.3343 2022/11/02 13:30:33 - mmengine - INFO - Epoch(train) [120][40/63] lr: 1.9689e-03 eta: 12:16:38 time: 0.5129 data_time: 0.0171 memory: 16395 loss: 2.9248 loss_prob: 1.8417 loss_thr: 0.7731 loss_db: 0.3100 2022/11/02 13:30:36 - mmengine - INFO - Epoch(train) [120][45/63] lr: 1.9689e-03 eta: 12:16:38 time: 0.5688 data_time: 0.0164 memory: 16395 loss: 2.8096 loss_prob: 1.7716 loss_thr: 0.7447 loss_db: 0.2934 2022/11/02 13:30:38 - mmengine - INFO - Epoch(train) [120][50/63] lr: 1.9689e-03 eta: 12:16:23 time: 0.5515 data_time: 0.0045 memory: 16395 loss: 2.6959 loss_prob: 1.6974 loss_thr: 0.7176 loss_db: 0.2809 2022/11/02 13:30:41 - mmengine - INFO - Epoch(train) [120][55/63] lr: 1.9689e-03 eta: 12:16:23 time: 0.5347 data_time: 0.0211 memory: 16395 loss: 2.9021 loss_prob: 1.8610 loss_thr: 0.7387 loss_db: 0.3024 2022/11/02 13:30:44 - mmengine - INFO - Epoch(train) [120][60/63] lr: 1.9689e-03 eta: 12:16:08 time: 0.5591 data_time: 0.0209 memory: 16395 loss: 3.0400 loss_prob: 1.9643 loss_thr: 0.7558 loss_db: 0.3198 2022/11/02 13:30:45 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:30:45 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/11/02 13:30:49 - mmengine - INFO - Epoch(val) [120][5/500] eta: 12:16:08 time: 0.0545 data_time: 0.0068 memory: 16395 2022/11/02 13:30:49 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:00:26 time: 0.0549 data_time: 0.0069 memory: 1013 2022/11/02 13:30:49 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:00:26 time: 0.0489 data_time: 0.0037 memory: 1013 2022/11/02 13:30:50 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:00:24 time: 0.0515 data_time: 0.0036 memory: 1013 2022/11/02 13:30:50 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:00:24 time: 0.0500 data_time: 0.0036 memory: 1013 2022/11/02 13:30:50 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:00:24 time: 0.0516 data_time: 0.0033 memory: 1013 2022/11/02 13:30:50 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:00:24 time: 0.0501 data_time: 0.0026 memory: 1013 2022/11/02 13:30:51 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:22 time: 0.0484 data_time: 0.0031 memory: 1013 2022/11/02 13:30:51 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:22 time: 0.0484 data_time: 0.0031 memory: 1013 2022/11/02 13:30:51 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:20 time: 0.0450 data_time: 0.0024 memory: 1013 2022/11/02 13:30:51 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:20 time: 0.0486 data_time: 0.0027 memory: 1013 2022/11/02 13:30:52 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:00:21 time: 0.0481 data_time: 0.0030 memory: 1013 2022/11/02 13:30:52 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:00:21 time: 0.0434 data_time: 0.0025 memory: 1013 2022/11/02 13:30:52 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:00:21 time: 0.0498 data_time: 0.0029 memory: 1013 2022/11/02 13:30:52 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:00:21 time: 0.0486 data_time: 0.0029 memory: 1013 2022/11/02 13:30:53 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:00:45 time: 0.1075 data_time: 0.0692 memory: 1013 2022/11/02 13:30:53 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:00:45 time: 0.1075 data_time: 0.0689 memory: 1013 2022/11/02 13:30:54 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:00:18 time: 0.0440 data_time: 0.0020 memory: 1013 2022/11/02 13:30:54 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:00:18 time: 0.0482 data_time: 0.0024 memory: 1013 2022/11/02 13:30:54 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:00:18 time: 0.0454 data_time: 0.0026 memory: 1013 2022/11/02 13:30:54 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:00:18 time: 0.0436 data_time: 0.0026 memory: 1013 2022/11/02 13:30:55 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:00:16 time: 0.0428 data_time: 0.0024 memory: 1013 2022/11/02 13:30:55 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:00:16 time: 0.0423 data_time: 0.0025 memory: 1013 2022/11/02 13:30:55 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:16 time: 0.0442 data_time: 0.0025 memory: 1013 2022/11/02 13:30:55 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:16 time: 0.0421 data_time: 0.0023 memory: 1013 2022/11/02 13:30:55 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:00:14 time: 0.0404 data_time: 0.0023 memory: 1013 2022/11/02 13:30:56 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:00:14 time: 0.0400 data_time: 0.0024 memory: 1013 2022/11/02 13:30:56 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:15 time: 0.0423 data_time: 0.0026 memory: 1013 2022/11/02 13:30:56 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:15 time: 0.0436 data_time: 0.0026 memory: 1013 2022/11/02 13:30:56 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:15 time: 0.0437 data_time: 0.0028 memory: 1013 2022/11/02 13:30:56 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:15 time: 0.0462 data_time: 0.0028 memory: 1013 2022/11/02 13:30:57 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:17 time: 0.0500 data_time: 0.0025 memory: 1013 2022/11/02 13:30:57 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:17 time: 0.0483 data_time: 0.0025 memory: 1013 2022/11/02 13:30:57 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:15 time: 0.0466 data_time: 0.0026 memory: 1013 2022/11/02 13:30:57 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:15 time: 0.0454 data_time: 0.0027 memory: 1013 2022/11/02 13:30:58 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:13 time: 0.0437 data_time: 0.0030 memory: 1013 2022/11/02 13:30:58 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:13 time: 0.0452 data_time: 0.0029 memory: 1013 2022/11/02 13:30:58 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:14 time: 0.0458 data_time: 0.0023 memory: 1013 2022/11/02 13:30:58 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:14 time: 0.0421 data_time: 0.0022 memory: 1013 2022/11/02 13:30:59 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:00:14 time: 0.0476 data_time: 0.0023 memory: 1013 2022/11/02 13:30:59 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:00:14 time: 0.0484 data_time: 0.0025 memory: 1013 2022/11/02 13:30:59 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:00:12 time: 0.0421 data_time: 0.0025 memory: 1013 2022/11/02 13:30:59 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:00:12 time: 0.0433 data_time: 0.0023 memory: 1013 2022/11/02 13:30:59 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:12 time: 0.0430 data_time: 0.0023 memory: 1013 2022/11/02 13:31:00 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:12 time: 0.0471 data_time: 0.0024 memory: 1013 2022/11/02 13:31:00 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:13 time: 0.0484 data_time: 0.0040 memory: 1013 2022/11/02 13:31:00 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:13 time: 0.0455 data_time: 0.0040 memory: 1013 2022/11/02 13:31:00 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:11 time: 0.0452 data_time: 0.0023 memory: 1013 2022/11/02 13:31:01 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:11 time: 0.0421 data_time: 0.0022 memory: 1013 2022/11/02 13:31:01 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:10 time: 0.0428 data_time: 0.0022 memory: 1013 2022/11/02 13:31:01 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:10 time: 0.0445 data_time: 0.0022 memory: 1013 2022/11/02 13:31:01 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:10 time: 0.0425 data_time: 0.0023 memory: 1013 2022/11/02 13:31:01 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:10 time: 0.0418 data_time: 0.0025 memory: 1013 2022/11/02 13:31:02 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:09 time: 0.0426 data_time: 0.0026 memory: 1013 2022/11/02 13:31:02 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:09 time: 0.0418 data_time: 0.0025 memory: 1013 2022/11/02 13:31:02 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:09 time: 0.0436 data_time: 0.0028 memory: 1013 2022/11/02 13:31:02 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:09 time: 0.0438 data_time: 0.0027 memory: 1013 2022/11/02 13:31:02 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:00:08 time: 0.0418 data_time: 0.0023 memory: 1013 2022/11/02 13:31:03 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:00:08 time: 0.0432 data_time: 0.0024 memory: 1013 2022/11/02 13:31:03 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:08 time: 0.0420 data_time: 0.0024 memory: 1013 2022/11/02 13:31:03 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:08 time: 0.0405 data_time: 0.0022 memory: 1013 2022/11/02 13:31:03 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:08 time: 0.0428 data_time: 0.0025 memory: 1013 2022/11/02 13:31:04 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:08 time: 0.0478 data_time: 0.0026 memory: 1013 2022/11/02 13:31:04 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:08 time: 0.0476 data_time: 0.0026 memory: 1013 2022/11/02 13:31:04 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:08 time: 0.0606 data_time: 0.0025 memory: 1013 2022/11/02 13:31:04 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:09 time: 0.0583 data_time: 0.0022 memory: 1013 2022/11/02 13:31:05 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:09 time: 0.0397 data_time: 0.0022 memory: 1013 2022/11/02 13:31:05 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:07 time: 0.0490 data_time: 0.0022 memory: 1013 2022/11/02 13:31:05 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:07 time: 0.0501 data_time: 0.0022 memory: 1013 2022/11/02 13:31:05 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:06 time: 0.0456 data_time: 0.0022 memory: 1013 2022/11/02 13:31:06 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:06 time: 0.0449 data_time: 0.0022 memory: 1013 2022/11/02 13:31:06 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:05 time: 0.0412 data_time: 0.0022 memory: 1013 2022/11/02 13:31:06 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:05 time: 0.0434 data_time: 0.0021 memory: 1013 2022/11/02 13:31:06 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:05 time: 0.0403 data_time: 0.0022 memory: 1013 2022/11/02 13:31:06 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:05 time: 0.0388 data_time: 0.0022 memory: 1013 2022/11/02 13:31:07 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:05 time: 0.0468 data_time: 0.0023 memory: 1013 2022/11/02 13:31:07 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:05 time: 0.0484 data_time: 0.0024 memory: 1013 2022/11/02 13:31:07 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:04 time: 0.0437 data_time: 0.0023 memory: 1013 2022/11/02 13:31:07 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:04 time: 0.0455 data_time: 0.0024 memory: 1013 2022/11/02 13:31:08 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:04 time: 0.0438 data_time: 0.0025 memory: 1013 2022/11/02 13:31:08 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:04 time: 0.0423 data_time: 0.0024 memory: 1013 2022/11/02 13:31:08 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:03 time: 0.0441 data_time: 0.0023 memory: 1013 2022/11/02 13:31:08 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:03 time: 0.0428 data_time: 0.0025 memory: 1013 2022/11/02 13:31:08 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:03 time: 0.0387 data_time: 0.0024 memory: 1013 2022/11/02 13:31:09 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:03 time: 0.0398 data_time: 0.0030 memory: 1013 2022/11/02 13:31:09 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:03 time: 0.0431 data_time: 0.0031 memory: 1013 2022/11/02 13:31:09 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:03 time: 0.0436 data_time: 0.0023 memory: 1013 2022/11/02 13:31:09 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:02 time: 0.0462 data_time: 0.0024 memory: 1013 2022/11/02 13:31:09 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:02 time: 0.0463 data_time: 0.0025 memory: 1013 2022/11/02 13:31:10 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:02 time: 0.0472 data_time: 0.0024 memory: 1013 2022/11/02 13:31:10 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:02 time: 0.0497 data_time: 0.0024 memory: 1013 2022/11/02 13:31:10 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:01 time: 0.0477 data_time: 0.0027 memory: 1013 2022/11/02 13:31:10 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:01 time: 0.0436 data_time: 0.0027 memory: 1013 2022/11/02 13:31:11 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:01 time: 0.0427 data_time: 0.0023 memory: 1013 2022/11/02 13:31:11 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:01 time: 0.0422 data_time: 0.0022 memory: 1013 2022/11/02 13:31:11 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:00 time: 0.0435 data_time: 0.0022 memory: 1013 2022/11/02 13:31:11 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:00 time: 0.0459 data_time: 0.0023 memory: 1013 2022/11/02 13:31:12 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:00 time: 0.0488 data_time: 0.0024 memory: 1013 2022/11/02 13:31:12 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:00 time: 0.0496 data_time: 0.0024 memory: 1013 2022/11/02 13:31:12 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.0444 data_time: 0.0024 memory: 1013 2022/11/02 13:31:12 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 13:31:12 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.6986, precision: 0.4806, hmean: 0.5695 2022/11/02 13:31:12 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.6967, precision: 0.6457, hmean: 0.6702 2022/11/02 13:31:12 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.6726, precision: 0.7349, hmean: 0.7024 2022/11/02 13:31:12 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6249, precision: 0.8057, hmean: 0.7039 2022/11/02 13:31:12 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.4728, precision: 0.8729, hmean: 0.6134 2022/11/02 13:31:12 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0472, precision: 0.9515, hmean: 0.0899 2022/11/02 13:31:12 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 13:31:12 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.8057 icdar/recall: 0.6249 icdar/hmean: 0.7039 2022/11/02 13:31:19 - mmengine - INFO - Epoch(train) [121][5/63] lr: 1.9672e-03 eta: 0:00:00 time: 0.9497 data_time: 0.2582 memory: 16395 loss: 2.9433 loss_prob: 1.8569 loss_thr: 0.7698 loss_db: 0.3165 2022/11/02 13:31:22 - mmengine - INFO - Epoch(train) [121][10/63] lr: 1.9672e-03 eta: 12:16:16 time: 1.0176 data_time: 0.2578 memory: 16395 loss: 2.7354 loss_prob: 1.7077 loss_thr: 0.7363 loss_db: 0.2914 2022/11/02 13:31:26 - mmengine - INFO - Epoch(train) [121][15/63] lr: 1.9672e-03 eta: 12:16:16 time: 0.7063 data_time: 0.0058 memory: 16395 loss: 2.8025 loss_prob: 1.7689 loss_thr: 0.7313 loss_db: 0.3023 2022/11/02 13:31:30 - mmengine - INFO - Epoch(train) [121][20/63] lr: 1.9672e-03 eta: 12:16:23 time: 0.8007 data_time: 0.0083 memory: 16395 loss: 2.9415 loss_prob: 1.8733 loss_thr: 0.7484 loss_db: 0.3198 2022/11/02 13:31:34 - mmengine - INFO - Epoch(train) [121][25/63] lr: 1.9672e-03 eta: 12:16:23 time: 0.7842 data_time: 0.0323 memory: 16395 loss: 2.9166 loss_prob: 1.8477 loss_thr: 0.7578 loss_db: 0.3112 2022/11/02 13:31:37 - mmengine - INFO - Epoch(train) [121][30/63] lr: 1.9672e-03 eta: 12:16:14 time: 0.6300 data_time: 0.0421 memory: 16395 loss: 2.7478 loss_prob: 1.7329 loss_thr: 0.7243 loss_db: 0.2906 2022/11/02 13:31:40 - mmengine - INFO - Epoch(train) [121][35/63] lr: 1.9672e-03 eta: 12:16:14 time: 0.5810 data_time: 0.0182 memory: 16395 loss: 2.8227 loss_prob: 1.7895 loss_thr: 0.7310 loss_db: 0.3022 2022/11/02 13:31:42 - mmengine - INFO - Epoch(train) [121][40/63] lr: 1.9672e-03 eta: 12:16:02 time: 0.5829 data_time: 0.0054 memory: 16395 loss: 2.8559 loss_prob: 1.8077 loss_thr: 0.7414 loss_db: 0.3068 2022/11/02 13:31:46 - mmengine - INFO - Epoch(train) [121][45/63] lr: 1.9672e-03 eta: 12:16:02 time: 0.6471 data_time: 0.0049 memory: 16395 loss: 2.7995 loss_prob: 1.7573 loss_thr: 0.7380 loss_db: 0.3042 2022/11/02 13:31:49 - mmengine - INFO - Epoch(train) [121][50/63] lr: 1.9672e-03 eta: 12:15:57 time: 0.6696 data_time: 0.0391 memory: 16395 loss: 2.8224 loss_prob: 1.7721 loss_thr: 0.7514 loss_db: 0.2989 2022/11/02 13:31:52 - mmengine - INFO - Epoch(train) [121][55/63] lr: 1.9672e-03 eta: 12:15:57 time: 0.6364 data_time: 0.0429 memory: 16395 loss: 2.8632 loss_prob: 1.8182 loss_thr: 0.7370 loss_db: 0.3080 2022/11/02 13:31:56 - mmengine - INFO - Epoch(train) [121][60/63] lr: 1.9672e-03 eta: 12:15:58 time: 0.7253 data_time: 0.0087 memory: 16395 loss: 2.8391 loss_prob: 1.7979 loss_thr: 0.7298 loss_db: 0.3114 2022/11/02 13:31:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:32:04 - mmengine - INFO - Epoch(train) [122][5/63] lr: 1.9656e-03 eta: 12:15:58 time: 0.9183 data_time: 0.2166 memory: 16395 loss: 3.3544 loss_prob: 2.1980 loss_thr: 0.7779 loss_db: 0.3785 2022/11/02 13:32:07 - mmengine - INFO - Epoch(train) [122][10/63] lr: 1.9656e-03 eta: 12:15:57 time: 0.9353 data_time: 0.2216 memory: 16395 loss: 3.1554 loss_prob: 2.0231 loss_thr: 0.7585 loss_db: 0.3738 2022/11/02 13:32:11 - mmengine - INFO - Epoch(train) [122][15/63] lr: 1.9656e-03 eta: 12:15:57 time: 0.7104 data_time: 0.0101 memory: 16395 loss: 3.1046 loss_prob: 1.9787 loss_thr: 0.7691 loss_db: 0.3568 2022/11/02 13:32:14 - mmengine - INFO - Epoch(train) [122][20/63] lr: 1.9656e-03 eta: 12:15:53 time: 0.6793 data_time: 0.0051 memory: 16395 loss: 3.0182 loss_prob: 1.9226 loss_thr: 0.7552 loss_db: 0.3404 2022/11/02 13:32:18 - mmengine - INFO - Epoch(train) [122][25/63] lr: 1.9656e-03 eta: 12:15:53 time: 0.6182 data_time: 0.0288 memory: 16395 loss: 3.0874 loss_prob: 1.9600 loss_thr: 0.7783 loss_db: 0.3491 2022/11/02 13:32:20 - mmengine - INFO - Epoch(train) [122][30/63] lr: 1.9656e-03 eta: 12:15:43 time: 0.6010 data_time: 0.0304 memory: 16395 loss: 2.9308 loss_prob: 1.8459 loss_thr: 0.7714 loss_db: 0.3135 2022/11/02 13:32:23 - mmengine - INFO - Epoch(train) [122][35/63] lr: 1.9656e-03 eta: 12:15:43 time: 0.5169 data_time: 0.0099 memory: 16395 loss: 2.9585 loss_prob: 1.8725 loss_thr: 0.7635 loss_db: 0.3225 2022/11/02 13:32:25 - mmengine - INFO - Epoch(train) [122][40/63] lr: 1.9656e-03 eta: 12:15:24 time: 0.5090 data_time: 0.0089 memory: 16395 loss: 2.9518 loss_prob: 1.8694 loss_thr: 0.7625 loss_db: 0.3198 2022/11/02 13:32:28 - mmengine - INFO - Epoch(train) [122][45/63] lr: 1.9656e-03 eta: 12:15:24 time: 0.5229 data_time: 0.0054 memory: 16395 loss: 2.7713 loss_prob: 1.7520 loss_thr: 0.7266 loss_db: 0.2926 2022/11/02 13:32:31 - mmengine - INFO - Epoch(train) [122][50/63] lr: 1.9656e-03 eta: 12:15:07 time: 0.5404 data_time: 0.0182 memory: 16395 loss: 2.6798 loss_prob: 1.6854 loss_thr: 0.7173 loss_db: 0.2772 2022/11/02 13:32:34 - mmengine - INFO - Epoch(train) [122][55/63] lr: 1.9656e-03 eta: 12:15:07 time: 0.6134 data_time: 0.0185 memory: 16395 loss: 2.6539 loss_prob: 1.6610 loss_thr: 0.7190 loss_db: 0.2739 2022/11/02 13:32:38 - mmengine - INFO - Epoch(train) [122][60/63] lr: 1.9656e-03 eta: 12:15:05 time: 0.6948 data_time: 0.0059 memory: 16395 loss: 2.7147 loss_prob: 1.7181 loss_thr: 0.7112 loss_db: 0.2854 2022/11/02 13:32:39 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:32:45 - mmengine - INFO - Epoch(train) [123][5/63] lr: 1.9639e-03 eta: 12:15:05 time: 0.8805 data_time: 0.2143 memory: 16395 loss: 2.7728 loss_prob: 1.7240 loss_thr: 0.7580 loss_db: 0.2908 2022/11/02 13:32:47 - mmengine - INFO - Epoch(train) [123][10/63] lr: 1.9639e-03 eta: 12:14:55 time: 0.8297 data_time: 0.2202 memory: 16395 loss: 2.6947 loss_prob: 1.6474 loss_thr: 0.7692 loss_db: 0.2782 2022/11/02 13:32:50 - mmengine - INFO - Epoch(train) [123][15/63] lr: 1.9639e-03 eta: 12:14:55 time: 0.5306 data_time: 0.0111 memory: 16395 loss: 2.5684 loss_prob: 1.5902 loss_thr: 0.7153 loss_db: 0.2629 2022/11/02 13:32:53 - mmengine - INFO - Epoch(train) [123][20/63] lr: 1.9639e-03 eta: 12:14:39 time: 0.5355 data_time: 0.0050 memory: 16395 loss: 2.6484 loss_prob: 1.6475 loss_thr: 0.7285 loss_db: 0.2724 2022/11/02 13:32:56 - mmengine - INFO - Epoch(train) [123][25/63] lr: 1.9639e-03 eta: 12:14:39 time: 0.5619 data_time: 0.0302 memory: 16395 loss: 2.7198 loss_prob: 1.6977 loss_thr: 0.7405 loss_db: 0.2815 2022/11/02 13:32:59 - mmengine - INFO - Epoch(train) [123][30/63] lr: 1.9639e-03 eta: 12:14:26 time: 0.5763 data_time: 0.0362 memory: 16395 loss: 2.8423 loss_prob: 1.7821 loss_thr: 0.7605 loss_db: 0.2997 2022/11/02 13:33:01 - mmengine - INFO - Epoch(train) [123][35/63] lr: 1.9639e-03 eta: 12:14:26 time: 0.5606 data_time: 0.0111 memory: 16395 loss: 2.8486 loss_prob: 1.7836 loss_thr: 0.7600 loss_db: 0.3049 2022/11/02 13:33:04 - mmengine - INFO - Epoch(train) [123][40/63] lr: 1.9639e-03 eta: 12:14:11 time: 0.5511 data_time: 0.0049 memory: 16395 loss: 2.6893 loss_prob: 1.6821 loss_thr: 0.7237 loss_db: 0.2836 2022/11/02 13:33:07 - mmengine - INFO - Epoch(train) [123][45/63] lr: 1.9639e-03 eta: 12:14:11 time: 0.5185 data_time: 0.0050 memory: 16395 loss: 2.8274 loss_prob: 1.8006 loss_thr: 0.7300 loss_db: 0.2968 2022/11/02 13:33:09 - mmengine - INFO - Epoch(train) [123][50/63] lr: 1.9639e-03 eta: 12:13:52 time: 0.5047 data_time: 0.0168 memory: 16395 loss: 2.8936 loss_prob: 1.8323 loss_thr: 0.7567 loss_db: 0.3046 2022/11/02 13:33:12 - mmengine - INFO - Epoch(train) [123][55/63] lr: 1.9639e-03 eta: 12:13:52 time: 0.5303 data_time: 0.0226 memory: 16395 loss: 3.0897 loss_prob: 1.9525 loss_thr: 0.7932 loss_db: 0.3440 2022/11/02 13:33:15 - mmengine - INFO - Epoch(train) [123][60/63] lr: 1.9639e-03 eta: 12:13:35 time: 0.5361 data_time: 0.0106 memory: 16395 loss: 3.0944 loss_prob: 1.9709 loss_thr: 0.7772 loss_db: 0.3462 2022/11/02 13:33:16 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:33:22 - mmengine - INFO - Epoch(train) [124][5/63] lr: 1.9623e-03 eta: 12:13:35 time: 0.8096 data_time: 0.2551 memory: 16395 loss: 2.4409 loss_prob: 1.5231 loss_thr: 0.6732 loss_db: 0.2447 2022/11/02 13:33:24 - mmengine - INFO - Epoch(train) [124][10/63] lr: 1.9623e-03 eta: 12:13:27 time: 0.8435 data_time: 0.2595 memory: 16395 loss: 2.6650 loss_prob: 1.6643 loss_thr: 0.7217 loss_db: 0.2790 2022/11/02 13:33:27 - mmengine - INFO - Epoch(train) [124][15/63] lr: 1.9623e-03 eta: 12:13:27 time: 0.5602 data_time: 0.0107 memory: 16395 loss: 2.9157 loss_prob: 1.8273 loss_thr: 0.7725 loss_db: 0.3159 2022/11/02 13:33:30 - mmengine - INFO - Epoch(train) [124][20/63] lr: 1.9623e-03 eta: 12:13:13 time: 0.5681 data_time: 0.0067 memory: 16395 loss: 2.8283 loss_prob: 1.7725 loss_thr: 0.7557 loss_db: 0.3002 2022/11/02 13:33:33 - mmengine - INFO - Epoch(train) [124][25/63] lr: 1.9623e-03 eta: 12:13:13 time: 0.5536 data_time: 0.0187 memory: 16395 loss: 2.6478 loss_prob: 1.6527 loss_thr: 0.7235 loss_db: 0.2716 2022/11/02 13:33:35 - mmengine - INFO - Epoch(train) [124][30/63] lr: 1.9623e-03 eta: 12:12:58 time: 0.5474 data_time: 0.0321 memory: 16395 loss: 2.6215 loss_prob: 1.6420 loss_thr: 0.7124 loss_db: 0.2671 2022/11/02 13:33:38 - mmengine - INFO - Epoch(train) [124][35/63] lr: 1.9623e-03 eta: 12:12:58 time: 0.5282 data_time: 0.0193 memory: 16395 loss: 2.7165 loss_prob: 1.7116 loss_thr: 0.7230 loss_db: 0.2820 2022/11/02 13:33:41 - mmengine - INFO - Epoch(train) [124][40/63] lr: 1.9623e-03 eta: 12:12:40 time: 0.5129 data_time: 0.0079 memory: 16395 loss: 2.6784 loss_prob: 1.6730 loss_thr: 0.7308 loss_db: 0.2746 2022/11/02 13:33:43 - mmengine - INFO - Epoch(train) [124][45/63] lr: 1.9623e-03 eta: 12:12:40 time: 0.5316 data_time: 0.0067 memory: 16395 loss: 2.6597 loss_prob: 1.6546 loss_thr: 0.7316 loss_db: 0.2735 2022/11/02 13:33:46 - mmengine - INFO - Epoch(train) [124][50/63] lr: 1.9623e-03 eta: 12:12:25 time: 0.5583 data_time: 0.0166 memory: 16395 loss: 2.7294 loss_prob: 1.6885 loss_thr: 0.7574 loss_db: 0.2835 2022/11/02 13:33:49 - mmengine - INFO - Epoch(train) [124][55/63] lr: 1.9623e-03 eta: 12:12:25 time: 0.5391 data_time: 0.0218 memory: 16395 loss: 2.8657 loss_prob: 1.7996 loss_thr: 0.7624 loss_db: 0.3037 2022/11/02 13:33:52 - mmengine - INFO - Epoch(train) [124][60/63] lr: 1.9623e-03 eta: 12:12:14 time: 0.5922 data_time: 0.0111 memory: 16395 loss: 2.7336 loss_prob: 1.7146 loss_thr: 0.7359 loss_db: 0.2831 2022/11/02 13:33:54 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:34:01 - mmengine - INFO - Epoch(train) [125][5/63] lr: 1.9607e-03 eta: 12:12:14 time: 0.9782 data_time: 0.3096 memory: 16395 loss: 2.5358 loss_prob: 1.5645 loss_thr: 0.7179 loss_db: 0.2534 2022/11/02 13:34:04 - mmengine - INFO - Epoch(train) [125][10/63] lr: 1.9607e-03 eta: 12:12:24 time: 1.0508 data_time: 0.3095 memory: 16395 loss: 2.5646 loss_prob: 1.6001 loss_thr: 0.7045 loss_db: 0.2600 2022/11/02 13:34:07 - mmengine - INFO - Epoch(train) [125][15/63] lr: 1.9607e-03 eta: 12:12:24 time: 0.6656 data_time: 0.0059 memory: 16395 loss: 2.6842 loss_prob: 1.6875 loss_thr: 0.7159 loss_db: 0.2809 2022/11/02 13:34:10 - mmengine - INFO - Epoch(train) [125][20/63] lr: 1.9607e-03 eta: 12:12:14 time: 0.6114 data_time: 0.0090 memory: 16395 loss: 2.8675 loss_prob: 1.7954 loss_thr: 0.7604 loss_db: 0.3118 2022/11/02 13:34:13 - mmengine - INFO - Epoch(train) [125][25/63] lr: 1.9607e-03 eta: 12:12:14 time: 0.5896 data_time: 0.0356 memory: 16395 loss: 2.8427 loss_prob: 1.7809 loss_thr: 0.7555 loss_db: 0.3063 2022/11/02 13:34:16 - mmengine - INFO - Epoch(train) [125][30/63] lr: 1.9607e-03 eta: 12:12:02 time: 0.5887 data_time: 0.0318 memory: 16395 loss: 2.9613 loss_prob: 1.8734 loss_thr: 0.7628 loss_db: 0.3252 2022/11/02 13:34:19 - mmengine - INFO - Epoch(train) [125][35/63] lr: 1.9607e-03 eta: 12:12:02 time: 0.6011 data_time: 0.0043 memory: 16395 loss: 3.1449 loss_prob: 2.0053 loss_thr: 0.7801 loss_db: 0.3594 2022/11/02 13:34:22 - mmengine - INFO - Epoch(train) [125][40/63] lr: 1.9607e-03 eta: 12:11:54 time: 0.6226 data_time: 0.0067 memory: 16395 loss: 3.1056 loss_prob: 1.9833 loss_thr: 0.7709 loss_db: 0.3514 2022/11/02 13:34:26 - mmengine - INFO - Epoch(train) [125][45/63] lr: 1.9607e-03 eta: 12:11:54 time: 0.6589 data_time: 0.0093 memory: 16395 loss: 2.9016 loss_prob: 1.8408 loss_thr: 0.7509 loss_db: 0.3099 2022/11/02 13:34:29 - mmengine - INFO - Epoch(train) [125][50/63] lr: 1.9607e-03 eta: 12:11:46 time: 0.6327 data_time: 0.0236 memory: 16395 loss: 2.7720 loss_prob: 1.7490 loss_thr: 0.7342 loss_db: 0.2888 2022/11/02 13:34:31 - mmengine - INFO - Epoch(train) [125][55/63] lr: 1.9607e-03 eta: 12:11:46 time: 0.5569 data_time: 0.0213 memory: 16395 loss: 2.8017 loss_prob: 1.7806 loss_thr: 0.7194 loss_db: 0.3016 2022/11/02 13:34:35 - mmengine - INFO - Epoch(train) [125][60/63] lr: 1.9607e-03 eta: 12:11:39 time: 0.6460 data_time: 0.0056 memory: 16395 loss: 2.8364 loss_prob: 1.8131 loss_thr: 0.7114 loss_db: 0.3120 2022/11/02 13:34:36 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:34:42 - mmengine - INFO - Epoch(train) [126][5/63] lr: 1.9590e-03 eta: 12:11:39 time: 0.8397 data_time: 0.2252 memory: 16395 loss: 2.8499 loss_prob: 1.8054 loss_thr: 0.7378 loss_db: 0.3066 2022/11/02 13:34:44 - mmengine - INFO - Epoch(train) [126][10/63] lr: 1.9590e-03 eta: 12:11:26 time: 0.7900 data_time: 0.2250 memory: 16395 loss: 2.8904 loss_prob: 1.8112 loss_thr: 0.7785 loss_db: 0.3006 2022/11/02 13:34:48 - mmengine - INFO - Epoch(train) [126][15/63] lr: 1.9590e-03 eta: 12:11:26 time: 0.6353 data_time: 0.0051 memory: 16395 loss: 2.8592 loss_prob: 1.8079 loss_thr: 0.7510 loss_db: 0.3002 2022/11/02 13:34:51 - mmengine - INFO - Epoch(train) [126][20/63] lr: 1.9590e-03 eta: 12:11:21 time: 0.6583 data_time: 0.0052 memory: 16395 loss: 2.7285 loss_prob: 1.7237 loss_thr: 0.7175 loss_db: 0.2873 2022/11/02 13:34:54 - mmengine - INFO - Epoch(train) [126][25/63] lr: 1.9590e-03 eta: 12:11:21 time: 0.5857 data_time: 0.0280 memory: 16395 loss: 2.6990 loss_prob: 1.6922 loss_thr: 0.7183 loss_db: 0.2885 2022/11/02 13:34:57 - mmengine - INFO - Epoch(train) [126][30/63] lr: 1.9590e-03 eta: 12:11:10 time: 0.5948 data_time: 0.0495 memory: 16395 loss: 2.7862 loss_prob: 1.7454 loss_thr: 0.7393 loss_db: 0.3015 2022/11/02 13:34:59 - mmengine - INFO - Epoch(train) [126][35/63] lr: 1.9590e-03 eta: 12:11:10 time: 0.5479 data_time: 0.0262 memory: 16395 loss: 2.7656 loss_prob: 1.7375 loss_thr: 0.7412 loss_db: 0.2869 2022/11/02 13:35:02 - mmengine - INFO - Epoch(train) [126][40/63] lr: 1.9590e-03 eta: 12:10:52 time: 0.5158 data_time: 0.0058 memory: 16395 loss: 2.8883 loss_prob: 1.8019 loss_thr: 0.7843 loss_db: 0.3021 2022/11/02 13:35:05 - mmengine - INFO - Epoch(train) [126][45/63] lr: 1.9590e-03 eta: 12:10:52 time: 0.5321 data_time: 0.0059 memory: 16395 loss: 2.8976 loss_prob: 1.8106 loss_thr: 0.7803 loss_db: 0.3067 2022/11/02 13:35:07 - mmengine - INFO - Epoch(train) [126][50/63] lr: 1.9590e-03 eta: 12:10:37 time: 0.5458 data_time: 0.0185 memory: 16395 loss: 2.7438 loss_prob: 1.7378 loss_thr: 0.7205 loss_db: 0.2854 2022/11/02 13:35:11 - mmengine - INFO - Epoch(train) [126][55/63] lr: 1.9590e-03 eta: 12:10:37 time: 0.6232 data_time: 0.0218 memory: 16395 loss: 2.7622 loss_prob: 1.7410 loss_thr: 0.7305 loss_db: 0.2907 2022/11/02 13:35:13 - mmengine - INFO - Epoch(train) [126][60/63] lr: 1.9590e-03 eta: 12:10:25 time: 0.5876 data_time: 0.0085 memory: 16395 loss: 2.5785 loss_prob: 1.6107 loss_thr: 0.7004 loss_db: 0.2674 2022/11/02 13:35:15 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:35:20 - mmengine - INFO - Epoch(train) [127][5/63] lr: 1.9574e-03 eta: 12:10:25 time: 0.7275 data_time: 0.2048 memory: 16395 loss: 2.7241 loss_prob: 1.7090 loss_thr: 0.7333 loss_db: 0.2818 2022/11/02 13:35:22 - mmengine - INFO - Epoch(train) [127][10/63] lr: 1.9574e-03 eta: 12:10:10 time: 0.7598 data_time: 0.2066 memory: 16395 loss: 2.7172 loss_prob: 1.7065 loss_thr: 0.7284 loss_db: 0.2824 2022/11/02 13:35:25 - mmengine - INFO - Epoch(train) [127][15/63] lr: 1.9574e-03 eta: 12:10:10 time: 0.4983 data_time: 0.0064 memory: 16395 loss: 2.8784 loss_prob: 1.8212 loss_thr: 0.7511 loss_db: 0.3061 2022/11/02 13:35:27 - mmengine - INFO - Epoch(train) [127][20/63] lr: 1.9574e-03 eta: 12:09:49 time: 0.4831 data_time: 0.0049 memory: 16395 loss: 2.8399 loss_prob: 1.7940 loss_thr: 0.7444 loss_db: 0.3015 2022/11/02 13:35:30 - mmengine - INFO - Epoch(train) [127][25/63] lr: 1.9574e-03 eta: 12:09:49 time: 0.5520 data_time: 0.0287 memory: 16395 loss: 2.4666 loss_prob: 1.5246 loss_thr: 0.6931 loss_db: 0.2489 2022/11/02 13:35:33 - mmengine - INFO - Epoch(train) [127][30/63] lr: 1.9574e-03 eta: 12:09:36 time: 0.5673 data_time: 0.0371 memory: 16395 loss: 2.5477 loss_prob: 1.5800 loss_thr: 0.7062 loss_db: 0.2614 2022/11/02 13:35:35 - mmengine - INFO - Epoch(train) [127][35/63] lr: 1.9574e-03 eta: 12:09:36 time: 0.5126 data_time: 0.0134 memory: 16395 loss: 2.7459 loss_prob: 1.7275 loss_thr: 0.7321 loss_db: 0.2863 2022/11/02 13:35:38 - mmengine - INFO - Epoch(train) [127][40/63] lr: 1.9574e-03 eta: 12:09:19 time: 0.5210 data_time: 0.0044 memory: 16395 loss: 2.7050 loss_prob: 1.7006 loss_thr: 0.7248 loss_db: 0.2796 2022/11/02 13:35:41 - mmengine - INFO - Epoch(train) [127][45/63] lr: 1.9574e-03 eta: 12:09:19 time: 0.5549 data_time: 0.0044 memory: 16395 loss: 2.8097 loss_prob: 1.7806 loss_thr: 0.7309 loss_db: 0.2982 2022/11/02 13:35:44 - mmengine - INFO - Epoch(train) [127][50/63] lr: 1.9574e-03 eta: 12:09:07 time: 0.5873 data_time: 0.0228 memory: 16395 loss: 2.8284 loss_prob: 1.7845 loss_thr: 0.7447 loss_db: 0.2991 2022/11/02 13:35:47 - mmengine - INFO - Epoch(train) [127][55/63] lr: 1.9574e-03 eta: 12:09:07 time: 0.5751 data_time: 0.0302 memory: 16395 loss: 2.7092 loss_prob: 1.6938 loss_thr: 0.7306 loss_db: 0.2848 2022/11/02 13:35:49 - mmengine - INFO - Epoch(train) [127][60/63] lr: 1.9574e-03 eta: 12:08:51 time: 0.5321 data_time: 0.0122 memory: 16395 loss: 2.6509 loss_prob: 1.6556 loss_thr: 0.7142 loss_db: 0.2811 2022/11/02 13:35:50 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:35:51 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:35:56 - mmengine - INFO - Epoch(train) [128][5/63] lr: 1.9557e-03 eta: 12:08:51 time: 0.7656 data_time: 0.2322 memory: 16395 loss: 2.6826 loss_prob: 1.6870 loss_thr: 0.7183 loss_db: 0.2773 2022/11/02 13:35:58 - mmengine - INFO - Epoch(train) [128][10/63] lr: 1.9557e-03 eta: 12:08:36 time: 0.7631 data_time: 0.2323 memory: 16395 loss: 2.6896 loss_prob: 1.6799 loss_thr: 0.7325 loss_db: 0.2771 2022/11/02 13:36:01 - mmengine - INFO - Epoch(train) [128][15/63] lr: 1.9557e-03 eta: 12:08:36 time: 0.4909 data_time: 0.0053 memory: 16395 loss: 2.7125 loss_prob: 1.6910 loss_thr: 0.7428 loss_db: 0.2787 2022/11/02 13:36:03 - mmengine - INFO - Epoch(train) [128][20/63] lr: 1.9557e-03 eta: 12:08:17 time: 0.5003 data_time: 0.0051 memory: 16395 loss: 2.7402 loss_prob: 1.6985 loss_thr: 0.7583 loss_db: 0.2833 2022/11/02 13:36:06 - mmengine - INFO - Epoch(train) [128][25/63] lr: 1.9557e-03 eta: 12:08:17 time: 0.5261 data_time: 0.0330 memory: 16395 loss: 2.6040 loss_prob: 1.6171 loss_thr: 0.7191 loss_db: 0.2678 2022/11/02 13:36:09 - mmengine - INFO - Epoch(train) [128][30/63] lr: 1.9557e-03 eta: 12:08:01 time: 0.5362 data_time: 0.0376 memory: 16395 loss: 2.7833 loss_prob: 1.7643 loss_thr: 0.7189 loss_db: 0.3001 2022/11/02 13:36:11 - mmengine - INFO - Epoch(train) [128][35/63] lr: 1.9557e-03 eta: 12:08:01 time: 0.5228 data_time: 0.0095 memory: 16395 loss: 2.8863 loss_prob: 1.8369 loss_thr: 0.7344 loss_db: 0.3151 2022/11/02 13:36:14 - mmengine - INFO - Epoch(train) [128][40/63] lr: 1.9557e-03 eta: 12:07:44 time: 0.5117 data_time: 0.0046 memory: 16395 loss: 2.6081 loss_prob: 1.6313 loss_thr: 0.7024 loss_db: 0.2744 2022/11/02 13:36:16 - mmengine - INFO - Epoch(train) [128][45/63] lr: 1.9557e-03 eta: 12:07:44 time: 0.5284 data_time: 0.0049 memory: 16395 loss: 2.7134 loss_prob: 1.7256 loss_thr: 0.6983 loss_db: 0.2895 2022/11/02 13:36:19 - mmengine - INFO - Epoch(train) [128][50/63] lr: 1.9557e-03 eta: 12:07:31 time: 0.5763 data_time: 0.0221 memory: 16395 loss: 2.8424 loss_prob: 1.8036 loss_thr: 0.7343 loss_db: 0.3044 2022/11/02 13:36:23 - mmengine - INFO - Epoch(train) [128][55/63] lr: 1.9557e-03 eta: 12:07:31 time: 0.6029 data_time: 0.0217 memory: 16395 loss: 3.1172 loss_prob: 1.9863 loss_thr: 0.7797 loss_db: 0.3512 2022/11/02 13:36:25 - mmengine - INFO - Epoch(train) [128][60/63] lr: 1.9557e-03 eta: 12:07:19 time: 0.5758 data_time: 0.0051 memory: 16395 loss: 3.0795 loss_prob: 1.9634 loss_thr: 0.7711 loss_db: 0.3450 2022/11/02 13:36:27 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:36:33 - mmengine - INFO - Epoch(train) [129][5/63] lr: 1.9541e-03 eta: 12:07:19 time: 0.9140 data_time: 0.2368 memory: 16395 loss: 2.6800 loss_prob: 1.6788 loss_thr: 0.7191 loss_db: 0.2821 2022/11/02 13:36:36 - mmengine - INFO - Epoch(train) [129][10/63] lr: 1.9541e-03 eta: 12:07:22 time: 0.9731 data_time: 0.2368 memory: 16395 loss: 2.6379 loss_prob: 1.6317 loss_thr: 0.7366 loss_db: 0.2696 2022/11/02 13:36:40 - mmengine - INFO - Epoch(train) [129][15/63] lr: 1.9541e-03 eta: 12:07:22 time: 0.6434 data_time: 0.0136 memory: 16395 loss: 2.6819 loss_prob: 1.6568 loss_thr: 0.7515 loss_db: 0.2737 2022/11/02 13:36:43 - mmengine - INFO - Epoch(train) [129][20/63] lr: 1.9541e-03 eta: 12:07:17 time: 0.6644 data_time: 0.0144 memory: 16395 loss: 2.6398 loss_prob: 1.6495 loss_thr: 0.7199 loss_db: 0.2704 2022/11/02 13:36:46 - mmengine - INFO - Epoch(train) [129][25/63] lr: 1.9541e-03 eta: 12:07:17 time: 0.6625 data_time: 0.0177 memory: 16395 loss: 2.7785 loss_prob: 1.7492 loss_thr: 0.7418 loss_db: 0.2875 2022/11/02 13:36:50 - mmengine - INFO - Epoch(train) [129][30/63] lr: 1.9541e-03 eta: 12:07:14 time: 0.6930 data_time: 0.0351 memory: 16395 loss: 2.7348 loss_prob: 1.7085 loss_thr: 0.7513 loss_db: 0.2750 2022/11/02 13:36:54 - mmengine - INFO - Epoch(train) [129][35/63] lr: 1.9541e-03 eta: 12:07:14 time: 0.7222 data_time: 0.0237 memory: 16395 loss: 2.6444 loss_prob: 1.6586 loss_thr: 0.7173 loss_db: 0.2686 2022/11/02 13:36:57 - mmengine - INFO - Epoch(train) [129][40/63] lr: 1.9541e-03 eta: 12:07:10 time: 0.6701 data_time: 0.0147 memory: 16395 loss: 2.7259 loss_prob: 1.7138 loss_thr: 0.7280 loss_db: 0.2842 2022/11/02 13:37:01 - mmengine - INFO - Epoch(train) [129][45/63] lr: 1.9541e-03 eta: 12:07:10 time: 0.6898 data_time: 0.0185 memory: 16395 loss: 2.8988 loss_prob: 1.8194 loss_thr: 0.7710 loss_db: 0.3084 2022/11/02 13:37:03 - mmengine - INFO - Epoch(train) [129][50/63] lr: 1.9541e-03 eta: 12:07:06 time: 0.6783 data_time: 0.0252 memory: 16395 loss: 2.9999 loss_prob: 1.9006 loss_thr: 0.7719 loss_db: 0.3273 2022/11/02 13:37:07 - mmengine - INFO - Epoch(train) [129][55/63] lr: 1.9541e-03 eta: 12:07:06 time: 0.6459 data_time: 0.0211 memory: 16395 loss: 2.9167 loss_prob: 1.8501 loss_thr: 0.7496 loss_db: 0.3169 2022/11/02 13:37:10 - mmengine - INFO - Epoch(train) [129][60/63] lr: 1.9541e-03 eta: 12:07:01 time: 0.6695 data_time: 0.0049 memory: 16395 loss: 2.7924 loss_prob: 1.7630 loss_thr: 0.7273 loss_db: 0.3020 2022/11/02 13:37:12 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:37:17 - mmengine - INFO - Epoch(train) [130][5/63] lr: 1.9524e-03 eta: 12:07:01 time: 0.8021 data_time: 0.2093 memory: 16395 loss: 2.8789 loss_prob: 1.8213 loss_thr: 0.7409 loss_db: 0.3168 2022/11/02 13:37:20 - mmengine - INFO - Epoch(train) [130][10/63] lr: 1.9524e-03 eta: 12:06:55 time: 0.8697 data_time: 0.2166 memory: 16395 loss: 2.6792 loss_prob: 1.6752 loss_thr: 0.7213 loss_db: 0.2827 2022/11/02 13:37:24 - mmengine - INFO - Epoch(train) [130][15/63] lr: 1.9524e-03 eta: 12:06:55 time: 0.6649 data_time: 0.0160 memory: 16395 loss: 2.6352 loss_prob: 1.6335 loss_thr: 0.7264 loss_db: 0.2753 2022/11/02 13:37:27 - mmengine - INFO - Epoch(train) [130][20/63] lr: 1.9524e-03 eta: 12:06:50 time: 0.6633 data_time: 0.0061 memory: 16395 loss: 2.8845 loss_prob: 1.8103 loss_thr: 0.7613 loss_db: 0.3130 2022/11/02 13:37:30 - mmengine - INFO - Epoch(train) [130][25/63] lr: 1.9524e-03 eta: 12:06:50 time: 0.5676 data_time: 0.0153 memory: 16395 loss: 2.7046 loss_prob: 1.6984 loss_thr: 0.7228 loss_db: 0.2834 2022/11/02 13:37:32 - mmengine - INFO - Epoch(train) [130][30/63] lr: 1.9524e-03 eta: 12:06:34 time: 0.5261 data_time: 0.0313 memory: 16395 loss: 2.5884 loss_prob: 1.6179 loss_thr: 0.7054 loss_db: 0.2650 2022/11/02 13:37:35 - mmengine - INFO - Epoch(train) [130][35/63] lr: 1.9524e-03 eta: 12:06:34 time: 0.5270 data_time: 0.0229 memory: 16395 loss: 2.6266 loss_prob: 1.6415 loss_thr: 0.7149 loss_db: 0.2702 2022/11/02 13:37:38 - mmengine - INFO - Epoch(train) [130][40/63] lr: 1.9524e-03 eta: 12:06:21 time: 0.5682 data_time: 0.0072 memory: 16395 loss: 2.6780 loss_prob: 1.6824 loss_thr: 0.7162 loss_db: 0.2794 2022/11/02 13:37:40 - mmengine - INFO - Epoch(train) [130][45/63] lr: 1.9524e-03 eta: 12:06:21 time: 0.5707 data_time: 0.0053 memory: 16395 loss: 2.7503 loss_prob: 1.7228 loss_thr: 0.7374 loss_db: 0.2901 2022/11/02 13:37:43 - mmengine - INFO - Epoch(train) [130][50/63] lr: 1.9524e-03 eta: 12:06:06 time: 0.5435 data_time: 0.0141 memory: 16395 loss: 2.8831 loss_prob: 1.8230 loss_thr: 0.7497 loss_db: 0.3104 2022/11/02 13:37:46 - mmengine - INFO - Epoch(train) [130][55/63] lr: 1.9524e-03 eta: 12:06:06 time: 0.5456 data_time: 0.0224 memory: 16395 loss: 2.8453 loss_prob: 1.8008 loss_thr: 0.7424 loss_db: 0.3021 2022/11/02 13:37:49 - mmengine - INFO - Epoch(train) [130][60/63] lr: 1.9524e-03 eta: 12:05:50 time: 0.5278 data_time: 0.0141 memory: 16395 loss: 2.6676 loss_prob: 1.6669 loss_thr: 0.7214 loss_db: 0.2792 2022/11/02 13:37:50 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:37:55 - mmengine - INFO - Epoch(train) [131][5/63] lr: 1.9508e-03 eta: 12:05:50 time: 0.7448 data_time: 0.2363 memory: 16395 loss: 2.9194 loss_prob: 1.8484 loss_thr: 0.7585 loss_db: 0.3125 2022/11/02 13:37:58 - mmengine - INFO - Epoch(train) [131][10/63] lr: 1.9508e-03 eta: 12:05:37 time: 0.7850 data_time: 0.2366 memory: 16395 loss: 2.8800 loss_prob: 1.8475 loss_thr: 0.7222 loss_db: 0.3102 2022/11/02 13:38:00 - mmengine - INFO - Epoch(train) [131][15/63] lr: 1.9508e-03 eta: 12:05:37 time: 0.5014 data_time: 0.0055 memory: 16395 loss: 2.5698 loss_prob: 1.6294 loss_thr: 0.6780 loss_db: 0.2625 2022/11/02 13:38:02 - mmengine - INFO - Epoch(train) [131][20/63] lr: 1.9508e-03 eta: 12:05:17 time: 0.4827 data_time: 0.0061 memory: 16395 loss: 2.8129 loss_prob: 1.7911 loss_thr: 0.7216 loss_db: 0.3001 2022/11/02 13:38:05 - mmengine - INFO - Epoch(train) [131][25/63] lr: 1.9508e-03 eta: 12:05:17 time: 0.5184 data_time: 0.0293 memory: 16395 loss: 3.0051 loss_prob: 1.9191 loss_thr: 0.7508 loss_db: 0.3352 2022/11/02 13:38:08 - mmengine - INFO - Epoch(train) [131][30/63] lr: 1.9508e-03 eta: 12:05:00 time: 0.5235 data_time: 0.0306 memory: 16395 loss: 2.8328 loss_prob: 1.8024 loss_thr: 0.7174 loss_db: 0.3130 2022/11/02 13:38:10 - mmengine - INFO - Epoch(train) [131][35/63] lr: 1.9508e-03 eta: 12:05:00 time: 0.4976 data_time: 0.0066 memory: 16395 loss: 2.7228 loss_prob: 1.7036 loss_thr: 0.7347 loss_db: 0.2845 2022/11/02 13:38:13 - mmengine - INFO - Epoch(train) [131][40/63] lr: 1.9508e-03 eta: 12:04:44 time: 0.5195 data_time: 0.0045 memory: 16395 loss: 2.8212 loss_prob: 1.7646 loss_thr: 0.7602 loss_db: 0.2964 2022/11/02 13:38:15 - mmengine - INFO - Epoch(train) [131][45/63] lr: 1.9508e-03 eta: 12:04:44 time: 0.5243 data_time: 0.0045 memory: 16395 loss: 2.8997 loss_prob: 1.8348 loss_thr: 0.7500 loss_db: 0.3148 2022/11/02 13:38:18 - mmengine - INFO - Epoch(train) [131][50/63] lr: 1.9508e-03 eta: 12:04:27 time: 0.5252 data_time: 0.0197 memory: 16395 loss: 2.7670 loss_prob: 1.7377 loss_thr: 0.7383 loss_db: 0.2910 2022/11/02 13:38:21 - mmengine - INFO - Epoch(train) [131][55/63] lr: 1.9508e-03 eta: 12:04:27 time: 0.5429 data_time: 0.0236 memory: 16395 loss: 2.7056 loss_prob: 1.7033 loss_thr: 0.7232 loss_db: 0.2791 2022/11/02 13:38:23 - mmengine - INFO - Epoch(train) [131][60/63] lr: 1.9508e-03 eta: 12:04:11 time: 0.5292 data_time: 0.0087 memory: 16395 loss: 2.6964 loss_prob: 1.6964 loss_thr: 0.7176 loss_db: 0.2824 2022/11/02 13:38:25 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:38:29 - mmengine - INFO - Epoch(train) [132][5/63] lr: 1.9492e-03 eta: 12:04:11 time: 0.6868 data_time: 0.2035 memory: 16395 loss: 2.6600 loss_prob: 1.6727 loss_thr: 0.7076 loss_db: 0.2797 2022/11/02 13:38:32 - mmengine - INFO - Epoch(train) [132][10/63] lr: 1.9492e-03 eta: 12:03:54 time: 0.7325 data_time: 0.2054 memory: 16395 loss: 2.6740 loss_prob: 1.6774 loss_thr: 0.7167 loss_db: 0.2800 2022/11/02 13:38:35 - mmengine - INFO - Epoch(train) [132][15/63] lr: 1.9492e-03 eta: 12:03:54 time: 0.6160 data_time: 0.0074 memory: 16395 loss: 2.6898 loss_prob: 1.6860 loss_thr: 0.7212 loss_db: 0.2826 2022/11/02 13:38:38 - mmengine - INFO - Epoch(train) [132][20/63] lr: 1.9492e-03 eta: 12:03:46 time: 0.6264 data_time: 0.0051 memory: 16395 loss: 2.8765 loss_prob: 1.8160 loss_thr: 0.7446 loss_db: 0.3159 2022/11/02 13:38:41 - mmengine - INFO - Epoch(train) [132][25/63] lr: 1.9492e-03 eta: 12:03:46 time: 0.5675 data_time: 0.0215 memory: 16395 loss: 2.9797 loss_prob: 1.8840 loss_thr: 0.7620 loss_db: 0.3337 2022/11/02 13:38:44 - mmengine - INFO - Epoch(train) [132][30/63] lr: 1.9492e-03 eta: 12:03:31 time: 0.5394 data_time: 0.0331 memory: 16395 loss: 3.0380 loss_prob: 1.9225 loss_thr: 0.7799 loss_db: 0.3356 2022/11/02 13:38:46 - mmengine - INFO - Epoch(train) [132][35/63] lr: 1.9492e-03 eta: 12:03:31 time: 0.5223 data_time: 0.0194 memory: 16395 loss: 3.0224 loss_prob: 1.9185 loss_thr: 0.7667 loss_db: 0.3371 2022/11/02 13:38:49 - mmengine - INFO - Epoch(train) [132][40/63] lr: 1.9492e-03 eta: 12:03:16 time: 0.5379 data_time: 0.0080 memory: 16395 loss: 2.9860 loss_prob: 1.8904 loss_thr: 0.7632 loss_db: 0.3324 2022/11/02 13:38:52 - mmengine - INFO - Epoch(train) [132][45/63] lr: 1.9492e-03 eta: 12:03:16 time: 0.5258 data_time: 0.0049 memory: 16395 loss: 2.8243 loss_prob: 1.7742 loss_thr: 0.7472 loss_db: 0.3029 2022/11/02 13:38:54 - mmengine - INFO - Epoch(train) [132][50/63] lr: 1.9492e-03 eta: 12:03:00 time: 0.5278 data_time: 0.0170 memory: 16395 loss: 2.7575 loss_prob: 1.7103 loss_thr: 0.7575 loss_db: 0.2897 2022/11/02 13:38:57 - mmengine - INFO - Epoch(train) [132][55/63] lr: 1.9492e-03 eta: 12:03:00 time: 0.5363 data_time: 0.0186 memory: 16395 loss: 2.9501 loss_prob: 1.8689 loss_thr: 0.7532 loss_db: 0.3280 2022/11/02 13:38:59 - mmengine - INFO - Epoch(train) [132][60/63] lr: 1.9492e-03 eta: 12:02:44 time: 0.5218 data_time: 0.0101 memory: 16395 loss: 2.7378 loss_prob: 1.7425 loss_thr: 0.6968 loss_db: 0.2985 2022/11/02 13:39:01 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:39:07 - mmengine - INFO - Epoch(train) [133][5/63] lr: 1.9475e-03 eta: 12:02:44 time: 0.8098 data_time: 0.2212 memory: 16395 loss: 2.7243 loss_prob: 1.7166 loss_thr: 0.7195 loss_db: 0.2882 2022/11/02 13:39:10 - mmengine - INFO - Epoch(train) [133][10/63] lr: 1.9475e-03 eta: 12:02:44 time: 0.9444 data_time: 0.2294 memory: 16395 loss: 2.5003 loss_prob: 1.5454 loss_thr: 0.7014 loss_db: 0.2536 2022/11/02 13:39:13 - mmengine - INFO - Epoch(train) [133][15/63] lr: 1.9475e-03 eta: 12:02:44 time: 0.6713 data_time: 0.0146 memory: 16395 loss: 2.5128 loss_prob: 1.5609 loss_thr: 0.6911 loss_db: 0.2608 2022/11/02 13:39:17 - mmengine - INFO - Epoch(train) [133][20/63] lr: 1.9475e-03 eta: 12:02:37 time: 0.6392 data_time: 0.0066 memory: 16395 loss: 2.7949 loss_prob: 1.7569 loss_thr: 0.7397 loss_db: 0.2983 2022/11/02 13:39:20 - mmengine - INFO - Epoch(train) [133][25/63] lr: 1.9475e-03 eta: 12:02:37 time: 0.6447 data_time: 0.0072 memory: 16395 loss: 2.7396 loss_prob: 1.7240 loss_thr: 0.7281 loss_db: 0.2875 2022/11/02 13:39:23 - mmengine - INFO - Epoch(train) [133][30/63] lr: 1.9475e-03 eta: 12:02:27 time: 0.5941 data_time: 0.0232 memory: 16395 loss: 2.5559 loss_prob: 1.6025 loss_thr: 0.6911 loss_db: 0.2622 2022/11/02 13:39:26 - mmengine - INFO - Epoch(train) [133][35/63] lr: 1.9475e-03 eta: 12:02:27 time: 0.6764 data_time: 0.0294 memory: 16395 loss: 2.6482 loss_prob: 1.6687 loss_thr: 0.7044 loss_db: 0.2751 2022/11/02 13:39:30 - mmengine - INFO - Epoch(train) [133][40/63] lr: 1.9475e-03 eta: 12:02:30 time: 0.7680 data_time: 0.0135 memory: 16395 loss: 2.9452 loss_prob: 1.8647 loss_thr: 0.7623 loss_db: 0.3182 2022/11/02 13:39:33 - mmengine - INFO - Epoch(train) [133][45/63] lr: 1.9475e-03 eta: 12:02:30 time: 0.6449 data_time: 0.0053 memory: 16395 loss: 3.0715 loss_prob: 1.9480 loss_thr: 0.7890 loss_db: 0.3345 2022/11/02 13:39:36 - mmengine - INFO - Epoch(train) [133][50/63] lr: 1.9475e-03 eta: 12:02:17 time: 0.5592 data_time: 0.0173 memory: 16395 loss: 2.9991 loss_prob: 1.9053 loss_thr: 0.7625 loss_db: 0.3314 2022/11/02 13:39:40 - mmengine - INFO - Epoch(train) [133][55/63] lr: 1.9475e-03 eta: 12:02:17 time: 0.6981 data_time: 0.0228 memory: 16395 loss: 2.6503 loss_prob: 1.6604 loss_thr: 0.7078 loss_db: 0.2820 2022/11/02 13:39:42 - mmengine - INFO - Epoch(train) [133][60/63] lr: 1.9475e-03 eta: 12:02:12 time: 0.6615 data_time: 0.0103 memory: 16395 loss: 2.4777 loss_prob: 1.5420 loss_thr: 0.6813 loss_db: 0.2544 2022/11/02 13:39:44 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:39:51 - mmengine - INFO - Epoch(train) [134][5/63] lr: 1.9459e-03 eta: 12:02:12 time: 0.9711 data_time: 0.2203 memory: 16395 loss: 2.5939 loss_prob: 1.6241 loss_thr: 0.6968 loss_db: 0.2730 2022/11/02 13:39:55 - mmengine - INFO - Epoch(train) [134][10/63] lr: 1.9459e-03 eta: 12:02:22 time: 1.0650 data_time: 0.2222 memory: 16395 loss: 2.7876 loss_prob: 1.7533 loss_thr: 0.7379 loss_db: 0.2964 2022/11/02 13:39:58 - mmengine - INFO - Epoch(train) [134][15/63] lr: 1.9459e-03 eta: 12:02:22 time: 0.7094 data_time: 0.0068 memory: 16395 loss: 2.9384 loss_prob: 1.8469 loss_thr: 0.7750 loss_db: 0.3165 2022/11/02 13:40:02 - mmengine - INFO - Epoch(train) [134][20/63] lr: 1.9459e-03 eta: 12:02:15 time: 0.6446 data_time: 0.0052 memory: 16395 loss: 2.5115 loss_prob: 1.5530 loss_thr: 0.6998 loss_db: 0.2587 2022/11/02 13:40:05 - mmengine - INFO - Epoch(train) [134][25/63] lr: 1.9459e-03 eta: 12:02:15 time: 0.6176 data_time: 0.0138 memory: 16395 loss: 2.4766 loss_prob: 1.5396 loss_thr: 0.6775 loss_db: 0.2595 2022/11/02 13:40:07 - mmengine - INFO - Epoch(train) [134][30/63] lr: 1.9459e-03 eta: 12:02:04 time: 0.5874 data_time: 0.0329 memory: 16395 loss: 2.6472 loss_prob: 1.6660 loss_thr: 0.6971 loss_db: 0.2841 2022/11/02 13:40:10 - mmengine - INFO - Epoch(train) [134][35/63] lr: 1.9459e-03 eta: 12:02:04 time: 0.5606 data_time: 0.0240 memory: 16395 loss: 2.7131 loss_prob: 1.7103 loss_thr: 0.7126 loss_db: 0.2903 2022/11/02 13:40:13 - mmengine - INFO - Epoch(train) [134][40/63] lr: 1.9459e-03 eta: 12:01:47 time: 0.5105 data_time: 0.0046 memory: 16395 loss: 2.9390 loss_prob: 1.8750 loss_thr: 0.7444 loss_db: 0.3196 2022/11/02 13:40:15 - mmengine - INFO - Epoch(train) [134][45/63] lr: 1.9459e-03 eta: 12:01:47 time: 0.4989 data_time: 0.0045 memory: 16395 loss: 2.9962 loss_prob: 1.9163 loss_thr: 0.7562 loss_db: 0.3237 2022/11/02 13:40:18 - mmengine - INFO - Epoch(train) [134][50/63] lr: 1.9459e-03 eta: 12:01:32 time: 0.5362 data_time: 0.0192 memory: 16395 loss: 2.9922 loss_prob: 1.9070 loss_thr: 0.7573 loss_db: 0.3279 2022/11/02 13:40:20 - mmengine - INFO - Epoch(train) [134][55/63] lr: 1.9459e-03 eta: 12:01:32 time: 0.5316 data_time: 0.0208 memory: 16395 loss: 2.9978 loss_prob: 1.9214 loss_thr: 0.7452 loss_db: 0.3313 2022/11/02 13:40:23 - mmengine - INFO - Epoch(train) [134][60/63] lr: 1.9459e-03 eta: 12:01:17 time: 0.5317 data_time: 0.0059 memory: 16395 loss: 2.8903 loss_prob: 1.8382 loss_thr: 0.7454 loss_db: 0.3067 2022/11/02 13:40:25 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:40:31 - mmengine - INFO - Epoch(train) [135][5/63] lr: 1.9442e-03 eta: 12:01:17 time: 0.8497 data_time: 0.2270 memory: 16395 loss: 2.7452 loss_prob: 1.7344 loss_thr: 0.7154 loss_db: 0.2954 2022/11/02 13:40:34 - mmengine - INFO - Epoch(train) [135][10/63] lr: 1.9442e-03 eta: 12:01:14 time: 0.9171 data_time: 0.2370 memory: 16395 loss: 2.5585 loss_prob: 1.6092 loss_thr: 0.6812 loss_db: 0.2682 2022/11/02 13:40:37 - mmengine - INFO - Epoch(train) [135][15/63] lr: 1.9442e-03 eta: 12:01:14 time: 0.6106 data_time: 0.0152 memory: 16395 loss: 2.5899 loss_prob: 1.6230 loss_thr: 0.6987 loss_db: 0.2683 2022/11/02 13:40:39 - mmengine - INFO - Epoch(train) [135][20/63] lr: 1.9442e-03 eta: 12:01:00 time: 0.5399 data_time: 0.0081 memory: 16395 loss: 2.7387 loss_prob: 1.7205 loss_thr: 0.7297 loss_db: 0.2885 2022/11/02 13:40:42 - mmengine - INFO - Epoch(train) [135][25/63] lr: 1.9442e-03 eta: 12:01:00 time: 0.5388 data_time: 0.0249 memory: 16395 loss: 2.7098 loss_prob: 1.6937 loss_thr: 0.7398 loss_db: 0.2763 2022/11/02 13:40:45 - mmengine - INFO - Epoch(train) [135][30/63] lr: 1.9442e-03 eta: 12:00:48 time: 0.5829 data_time: 0.0254 memory: 16395 loss: 2.6698 loss_prob: 1.6674 loss_thr: 0.7288 loss_db: 0.2737 2022/11/02 13:40:48 - mmengine - INFO - Epoch(train) [135][35/63] lr: 1.9442e-03 eta: 12:00:48 time: 0.5732 data_time: 0.0182 memory: 16395 loss: 2.9762 loss_prob: 1.9058 loss_thr: 0.7419 loss_db: 0.3285 2022/11/02 13:40:51 - mmengine - INFO - Epoch(train) [135][40/63] lr: 1.9442e-03 eta: 12:00:35 time: 0.5509 data_time: 0.0175 memory: 16395 loss: 3.0759 loss_prob: 1.9861 loss_thr: 0.7498 loss_db: 0.3401 2022/11/02 13:40:53 - mmengine - INFO - Epoch(train) [135][45/63] lr: 1.9442e-03 eta: 12:00:35 time: 0.5281 data_time: 0.0072 memory: 16395 loss: 2.7929 loss_prob: 1.7655 loss_thr: 0.7357 loss_db: 0.2917 2022/11/02 13:40:56 - mmengine - INFO - Epoch(train) [135][50/63] lr: 1.9442e-03 eta: 12:00:19 time: 0.5293 data_time: 0.0178 memory: 16395 loss: 2.8031 loss_prob: 1.7671 loss_thr: 0.7398 loss_db: 0.2962 2022/11/02 13:40:58 - mmengine - INFO - Epoch(train) [135][55/63] lr: 1.9442e-03 eta: 12:00:19 time: 0.5303 data_time: 0.0202 memory: 16395 loss: 3.0366 loss_prob: 1.9346 loss_thr: 0.7616 loss_db: 0.3404 2022/11/02 13:41:01 - mmengine - INFO - Epoch(train) [135][60/63] lr: 1.9442e-03 eta: 12:00:03 time: 0.5244 data_time: 0.0107 memory: 16395 loss: 3.2618 loss_prob: 2.0836 loss_thr: 0.7928 loss_db: 0.3854 2022/11/02 13:41:02 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:41:08 - mmengine - INFO - Epoch(train) [136][5/63] lr: 1.9426e-03 eta: 12:00:03 time: 0.7749 data_time: 0.2149 memory: 16395 loss: 2.9789 loss_prob: 1.9252 loss_thr: 0.7177 loss_db: 0.3360 2022/11/02 13:41:10 - mmengine - INFO - Epoch(train) [136][10/63] lr: 1.9426e-03 eta: 11:59:51 time: 0.7910 data_time: 0.2150 memory: 16395 loss: 2.9118 loss_prob: 1.8691 loss_thr: 0.7268 loss_db: 0.3159 2022/11/02 13:41:13 - mmengine - INFO - Epoch(train) [136][15/63] lr: 1.9426e-03 eta: 11:59:51 time: 0.5511 data_time: 0.0057 memory: 16395 loss: 2.9534 loss_prob: 1.9064 loss_thr: 0.7255 loss_db: 0.3214 2022/11/02 13:41:16 - mmengine - INFO - Epoch(train) [136][20/63] lr: 1.9426e-03 eta: 11:59:37 time: 0.5521 data_time: 0.0056 memory: 16395 loss: 2.8187 loss_prob: 1.7876 loss_thr: 0.7340 loss_db: 0.2971 2022/11/02 13:41:18 - mmengine - INFO - Epoch(train) [136][25/63] lr: 1.9426e-03 eta: 11:59:37 time: 0.5068 data_time: 0.0152 memory: 16395 loss: 2.8407 loss_prob: 1.7877 loss_thr: 0.7429 loss_db: 0.3101 2022/11/02 13:41:21 - mmengine - INFO - Epoch(train) [136][30/63] lr: 1.9426e-03 eta: 11:59:23 time: 0.5417 data_time: 0.0492 memory: 16395 loss: 2.7432 loss_prob: 1.7188 loss_thr: 0.7290 loss_db: 0.2953 2022/11/02 13:41:24 - mmengine - INFO - Epoch(train) [136][35/63] lr: 1.9426e-03 eta: 11:59:23 time: 0.5657 data_time: 0.0391 memory: 16395 loss: 2.9054 loss_prob: 1.8152 loss_thr: 0.7697 loss_db: 0.3205 2022/11/02 13:41:27 - mmengine - INFO - Epoch(train) [136][40/63] lr: 1.9426e-03 eta: 11:59:10 time: 0.5593 data_time: 0.0045 memory: 16395 loss: 2.8085 loss_prob: 1.7643 loss_thr: 0.7379 loss_db: 0.3063 2022/11/02 13:41:30 - mmengine - INFO - Epoch(train) [136][45/63] lr: 1.9426e-03 eta: 11:59:10 time: 0.5604 data_time: 0.0063 memory: 16395 loss: 2.5347 loss_prob: 1.5751 loss_thr: 0.7105 loss_db: 0.2491 2022/11/02 13:41:32 - mmengine - INFO - Epoch(train) [136][50/63] lr: 1.9426e-03 eta: 11:58:56 time: 0.5481 data_time: 0.0175 memory: 16395 loss: 2.5346 loss_prob: 1.5844 loss_thr: 0.6924 loss_db: 0.2578 2022/11/02 13:41:35 - mmengine - INFO - Epoch(train) [136][55/63] lr: 1.9426e-03 eta: 11:58:56 time: 0.5566 data_time: 0.0232 memory: 16395 loss: 2.4779 loss_prob: 1.5359 loss_thr: 0.6910 loss_db: 0.2510 2022/11/02 13:41:38 - mmengine - INFO - Epoch(train) [136][60/63] lr: 1.9426e-03 eta: 11:58:46 time: 0.5906 data_time: 0.0122 memory: 16395 loss: 2.6364 loss_prob: 1.6224 loss_thr: 0.7477 loss_db: 0.2663 2022/11/02 13:41:39 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:41:46 - mmengine - INFO - Epoch(train) [137][5/63] lr: 1.9409e-03 eta: 11:58:46 time: 0.9285 data_time: 0.2476 memory: 16395 loss: 2.3505 loss_prob: 1.4503 loss_thr: 0.6693 loss_db: 0.2309 2022/11/02 13:41:49 - mmengine - INFO - Epoch(train) [137][10/63] lr: 1.9409e-03 eta: 11:58:47 time: 0.9646 data_time: 0.2472 memory: 16395 loss: 2.5742 loss_prob: 1.6032 loss_thr: 0.7102 loss_db: 0.2608 2022/11/02 13:41:52 - mmengine - INFO - Epoch(train) [137][15/63] lr: 1.9409e-03 eta: 11:58:47 time: 0.6424 data_time: 0.0094 memory: 16395 loss: 2.6836 loss_prob: 1.6759 loss_thr: 0.7317 loss_db: 0.2761 2022/11/02 13:41:55 - mmengine - INFO - Epoch(train) [137][20/63] lr: 1.9409e-03 eta: 11:58:41 time: 0.6477 data_time: 0.0090 memory: 16395 loss: 2.4673 loss_prob: 1.5196 loss_thr: 0.6996 loss_db: 0.2481 2022/11/02 13:41:59 - mmengine - INFO - Epoch(train) [137][25/63] lr: 1.9409e-03 eta: 11:58:41 time: 0.6386 data_time: 0.0160 memory: 16395 loss: 2.6385 loss_prob: 1.6482 loss_thr: 0.7116 loss_db: 0.2787 2022/11/02 13:42:03 - mmengine - INFO - Epoch(train) [137][30/63] lr: 1.9409e-03 eta: 11:58:41 time: 0.7248 data_time: 0.0247 memory: 16395 loss: 2.7685 loss_prob: 1.7395 loss_thr: 0.7371 loss_db: 0.2918 2022/11/02 13:42:06 - mmengine - INFO - Epoch(train) [137][35/63] lr: 1.9409e-03 eta: 11:58:41 time: 0.6707 data_time: 0.0156 memory: 16395 loss: 2.6508 loss_prob: 1.6647 loss_thr: 0.7052 loss_db: 0.2809 2022/11/02 13:42:09 - mmengine - INFO - Epoch(train) [137][40/63] lr: 1.9409e-03 eta: 11:58:33 time: 0.6293 data_time: 0.0119 memory: 16395 loss: 2.7740 loss_prob: 1.7729 loss_thr: 0.6996 loss_db: 0.3014 2022/11/02 13:42:12 - mmengine - INFO - Epoch(train) [137][45/63] lr: 1.9409e-03 eta: 11:58:33 time: 0.6795 data_time: 0.0093 memory: 16395 loss: 2.7576 loss_prob: 1.7463 loss_thr: 0.7202 loss_db: 0.2911 2022/11/02 13:42:16 - mmengine - INFO - Epoch(train) [137][50/63] lr: 1.9409e-03 eta: 11:58:30 time: 0.6762 data_time: 0.0171 memory: 16395 loss: 2.7830 loss_prob: 1.7446 loss_thr: 0.7489 loss_db: 0.2895 2022/11/02 13:42:19 - mmengine - INFO - Epoch(train) [137][55/63] lr: 1.9409e-03 eta: 11:58:30 time: 0.6897 data_time: 0.0277 memory: 16395 loss: 2.8513 loss_prob: 1.7917 loss_thr: 0.7635 loss_db: 0.2961 2022/11/02 13:42:22 - mmengine - INFO - Epoch(train) [137][60/63] lr: 1.9409e-03 eta: 11:58:22 time: 0.6287 data_time: 0.0152 memory: 16395 loss: 2.8202 loss_prob: 1.7764 loss_thr: 0.7428 loss_db: 0.3010 2022/11/02 13:42:24 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:42:29 - mmengine - INFO - Epoch(train) [138][5/63] lr: 1.9393e-03 eta: 11:58:22 time: 0.8533 data_time: 0.1793 memory: 16395 loss: 2.9773 loss_prob: 1.9241 loss_thr: 0.7242 loss_db: 0.3290 2022/11/02 13:42:32 - mmengine - INFO - Epoch(train) [138][10/63] lr: 1.9393e-03 eta: 11:58:12 time: 0.8124 data_time: 0.1850 memory: 16395 loss: 2.9852 loss_prob: 1.8924 loss_thr: 0.7593 loss_db: 0.3335 2022/11/02 13:42:36 - mmengine - INFO - Epoch(train) [138][15/63] lr: 1.9393e-03 eta: 11:58:12 time: 0.6067 data_time: 0.0159 memory: 16395 loss: 2.6828 loss_prob: 1.6631 loss_thr: 0.7418 loss_db: 0.2779 2022/11/02 13:42:39 - mmengine - INFO - Epoch(train) [138][20/63] lr: 1.9393e-03 eta: 11:58:06 time: 0.6560 data_time: 0.0076 memory: 16395 loss: 2.6769 loss_prob: 1.6750 loss_thr: 0.7240 loss_db: 0.2779 2022/11/02 13:42:41 - mmengine - INFO - Epoch(train) [138][25/63] lr: 1.9393e-03 eta: 11:58:06 time: 0.5882 data_time: 0.0099 memory: 16395 loss: 2.8045 loss_prob: 1.7566 loss_thr: 0.7474 loss_db: 0.3005 2022/11/02 13:42:44 - mmengine - INFO - Epoch(train) [138][30/63] lr: 1.9393e-03 eta: 11:57:52 time: 0.5382 data_time: 0.0306 memory: 16395 loss: 2.7511 loss_prob: 1.7174 loss_thr: 0.7482 loss_db: 0.2856 2022/11/02 13:42:47 - mmengine - INFO - Epoch(train) [138][35/63] lr: 1.9393e-03 eta: 11:57:52 time: 0.5991 data_time: 0.0277 memory: 16395 loss: 2.5384 loss_prob: 1.5754 loss_thr: 0.7119 loss_db: 0.2510 2022/11/02 13:42:50 - mmengine - INFO - Epoch(train) [138][40/63] lr: 1.9393e-03 eta: 11:57:40 time: 0.5726 data_time: 0.0092 memory: 16395 loss: 2.5116 loss_prob: 1.5656 loss_thr: 0.6938 loss_db: 0.2522 2022/11/02 13:42:53 - mmengine - INFO - Epoch(train) [138][45/63] lr: 1.9393e-03 eta: 11:57:40 time: 0.5305 data_time: 0.0067 memory: 16395 loss: 2.6430 loss_prob: 1.6650 loss_thr: 0.7000 loss_db: 0.2781 2022/11/02 13:42:55 - mmengine - INFO - Epoch(train) [138][50/63] lr: 1.9393e-03 eta: 11:57:26 time: 0.5445 data_time: 0.0085 memory: 16395 loss: 2.8808 loss_prob: 1.8387 loss_thr: 0.7187 loss_db: 0.3234 2022/11/02 13:42:58 - mmengine - INFO - Epoch(train) [138][55/63] lr: 1.9393e-03 eta: 11:57:26 time: 0.5743 data_time: 0.0262 memory: 16395 loss: 2.8238 loss_prob: 1.7822 loss_thr: 0.7320 loss_db: 0.3096 2022/11/02 13:43:01 - mmengine - INFO - Epoch(train) [138][60/63] lr: 1.9393e-03 eta: 11:57:12 time: 0.5436 data_time: 0.0224 memory: 16395 loss: 2.6600 loss_prob: 1.6622 loss_thr: 0.7239 loss_db: 0.2740 2022/11/02 13:43:02 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:43:07 - mmengine - INFO - Epoch(train) [139][5/63] lr: 1.9377e-03 eta: 11:57:12 time: 0.7056 data_time: 0.2026 memory: 16395 loss: 2.6166 loss_prob: 1.6425 loss_thr: 0.7066 loss_db: 0.2675 2022/11/02 13:43:10 - mmengine - INFO - Epoch(train) [139][10/63] lr: 1.9377e-03 eta: 11:56:59 time: 0.7798 data_time: 0.2107 memory: 16395 loss: 2.5738 loss_prob: 1.6140 loss_thr: 0.6954 loss_db: 0.2644 2022/11/02 13:43:13 - mmengine - INFO - Epoch(train) [139][15/63] lr: 1.9377e-03 eta: 11:56:59 time: 0.5632 data_time: 0.0142 memory: 16395 loss: 2.5595 loss_prob: 1.5835 loss_thr: 0.7104 loss_db: 0.2656 2022/11/02 13:43:15 - mmengine - INFO - Epoch(train) [139][20/63] lr: 1.9377e-03 eta: 11:56:42 time: 0.5114 data_time: 0.0053 memory: 16395 loss: 2.9172 loss_prob: 1.8110 loss_thr: 0.7930 loss_db: 0.3132 2022/11/02 13:43:18 - mmengine - INFO - Epoch(train) [139][25/63] lr: 1.9377e-03 eta: 11:56:42 time: 0.5092 data_time: 0.0126 memory: 16395 loss: 2.8033 loss_prob: 1.7447 loss_thr: 0.7678 loss_db: 0.2908 2022/11/02 13:43:20 - mmengine - INFO - Epoch(train) [139][30/63] lr: 1.9377e-03 eta: 11:56:27 time: 0.5273 data_time: 0.0276 memory: 16395 loss: 2.7968 loss_prob: 1.7520 loss_thr: 0.7532 loss_db: 0.2917 2022/11/02 13:43:23 - mmengine - INFO - Epoch(train) [139][35/63] lr: 1.9377e-03 eta: 11:56:27 time: 0.5313 data_time: 0.0320 memory: 16395 loss: 2.9456 loss_prob: 1.8639 loss_thr: 0.7674 loss_db: 0.3143 2022/11/02 13:43:26 - mmengine - INFO - Epoch(train) [139][40/63] lr: 1.9377e-03 eta: 11:56:12 time: 0.5358 data_time: 0.0177 memory: 16395 loss: 2.6455 loss_prob: 1.6501 loss_thr: 0.7217 loss_db: 0.2737 2022/11/02 13:43:28 - mmengine - INFO - Epoch(train) [139][45/63] lr: 1.9377e-03 eta: 11:56:12 time: 0.5334 data_time: 0.0098 memory: 16395 loss: 2.4668 loss_prob: 1.5313 loss_thr: 0.6823 loss_db: 0.2531 2022/11/02 13:43:31 - mmengine - INFO - Epoch(train) [139][50/63] lr: 1.9377e-03 eta: 11:56:02 time: 0.5859 data_time: 0.0185 memory: 16395 loss: 2.5374 loss_prob: 1.5856 loss_thr: 0.6879 loss_db: 0.2640 2022/11/02 13:43:34 - mmengine - INFO - Epoch(train) [139][55/63] lr: 1.9377e-03 eta: 11:56:02 time: 0.5979 data_time: 0.0183 memory: 16395 loss: 2.8203 loss_prob: 1.7595 loss_thr: 0.7680 loss_db: 0.2929 2022/11/02 13:43:37 - mmengine - INFO - Epoch(train) [139][60/63] lr: 1.9377e-03 eta: 11:55:49 time: 0.5551 data_time: 0.0130 memory: 16395 loss: 2.8702 loss_prob: 1.7783 loss_thr: 0.7961 loss_db: 0.2959 2022/11/02 13:43:38 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:43:43 - mmengine - INFO - Epoch(train) [140][5/63] lr: 1.9360e-03 eta: 11:55:49 time: 0.7131 data_time: 0.1785 memory: 16395 loss: 2.5019 loss_prob: 1.5410 loss_thr: 0.7059 loss_db: 0.2550 2022/11/02 13:43:46 - mmengine - INFO - Epoch(train) [140][10/63] lr: 1.9360e-03 eta: 11:55:33 time: 0.7430 data_time: 0.1912 memory: 16395 loss: 2.5127 loss_prob: 1.5607 loss_thr: 0.6947 loss_db: 0.2573 2022/11/02 13:43:49 - mmengine - INFO - Epoch(train) [140][15/63] lr: 1.9360e-03 eta: 11:55:33 time: 0.5529 data_time: 0.0213 memory: 16395 loss: 2.6315 loss_prob: 1.6611 loss_thr: 0.7023 loss_db: 0.2681 2022/11/02 13:43:51 - mmengine - INFO - Epoch(train) [140][20/63] lr: 1.9360e-03 eta: 11:55:19 time: 0.5426 data_time: 0.0099 memory: 16395 loss: 2.6820 loss_prob: 1.6805 loss_thr: 0.7229 loss_db: 0.2786 2022/11/02 13:43:54 - mmengine - INFO - Epoch(train) [140][25/63] lr: 1.9360e-03 eta: 11:55:19 time: 0.5543 data_time: 0.0167 memory: 16395 loss: 2.8159 loss_prob: 1.7616 loss_thr: 0.7446 loss_db: 0.3096 2022/11/02 13:43:57 - mmengine - INFO - Epoch(train) [140][30/63] lr: 1.9360e-03 eta: 11:55:05 time: 0.5405 data_time: 0.0216 memory: 16395 loss: 2.9893 loss_prob: 1.8953 loss_thr: 0.7617 loss_db: 0.3323 2022/11/02 13:43:59 - mmengine - INFO - Epoch(train) [140][35/63] lr: 1.9360e-03 eta: 11:55:05 time: 0.5304 data_time: 0.0229 memory: 16395 loss: 2.8114 loss_prob: 1.7727 loss_thr: 0.7454 loss_db: 0.2934 2022/11/02 13:44:02 - mmengine - INFO - Epoch(train) [140][40/63] lr: 1.9360e-03 eta: 11:54:50 time: 0.5304 data_time: 0.0167 memory: 16395 loss: 2.6401 loss_prob: 1.6395 loss_thr: 0.7330 loss_db: 0.2677 2022/11/02 13:44:05 - mmengine - INFO - Epoch(train) [140][45/63] lr: 1.9360e-03 eta: 11:54:50 time: 0.5155 data_time: 0.0057 memory: 16395 loss: 2.7422 loss_prob: 1.7372 loss_thr: 0.7132 loss_db: 0.2917 2022/11/02 13:44:07 - mmengine - INFO - Epoch(train) [140][50/63] lr: 1.9360e-03 eta: 11:54:35 time: 0.5327 data_time: 0.0130 memory: 16395 loss: 2.7241 loss_prob: 1.7229 loss_thr: 0.7104 loss_db: 0.2908 2022/11/02 13:44:10 - mmengine - INFO - Epoch(train) [140][55/63] lr: 1.9360e-03 eta: 11:54:35 time: 0.5627 data_time: 0.0178 memory: 16395 loss: 2.4867 loss_prob: 1.5198 loss_thr: 0.7149 loss_db: 0.2519 2022/11/02 13:44:13 - mmengine - INFO - Epoch(train) [140][60/63] lr: 1.9360e-03 eta: 11:54:23 time: 0.5570 data_time: 0.0179 memory: 16395 loss: 2.6313 loss_prob: 1.6145 loss_thr: 0.7437 loss_db: 0.2731 2022/11/02 13:44:14 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:44:14 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/11/02 13:44:18 - mmengine - INFO - Epoch(val) [140][5/500] eta: 11:54:23 time: 0.0488 data_time: 0.0057 memory: 16395 2022/11/02 13:44:18 - mmengine - INFO - Epoch(val) [140][10/500] eta: 0:00:24 time: 0.0502 data_time: 0.0057 memory: 1013 2022/11/02 13:44:18 - mmengine - INFO - Epoch(val) [140][15/500] eta: 0:00:24 time: 0.0433 data_time: 0.0027 memory: 1013 2022/11/02 13:44:19 - mmengine - INFO - Epoch(val) [140][20/500] eta: 0:00:19 time: 0.0414 data_time: 0.0026 memory: 1013 2022/11/02 13:44:19 - mmengine - INFO - Epoch(val) [140][25/500] eta: 0:00:19 time: 0.0410 data_time: 0.0023 memory: 1013 2022/11/02 13:44:19 - mmengine - INFO - Epoch(val) [140][30/500] eta: 0:00:22 time: 0.0468 data_time: 0.0026 memory: 1013 2022/11/02 13:44:19 - mmengine - INFO - Epoch(val) [140][35/500] eta: 0:00:22 time: 0.0523 data_time: 0.0045 memory: 1013 2022/11/02 13:44:19 - mmengine - INFO - Epoch(val) [140][40/500] eta: 0:00:23 time: 0.0509 data_time: 0.0046 memory: 1013 2022/11/02 13:44:20 - mmengine - INFO - Epoch(val) [140][45/500] eta: 0:00:23 time: 0.0495 data_time: 0.0027 memory: 1013 2022/11/02 13:44:20 - mmengine - INFO - Epoch(val) [140][50/500] eta: 0:00:27 time: 0.0601 data_time: 0.0148 memory: 1013 2022/11/02 13:44:20 - mmengine - INFO - Epoch(val) [140][55/500] eta: 0:00:27 time: 0.0561 data_time: 0.0144 memory: 1013 2022/11/02 13:44:21 - mmengine - INFO - Epoch(val) [140][60/500] eta: 0:00:18 time: 0.0421 data_time: 0.0019 memory: 1013 2022/11/02 13:44:21 - mmengine - INFO - Epoch(val) [140][65/500] eta: 0:00:18 time: 0.0453 data_time: 0.0024 memory: 1013 2022/11/02 13:44:21 - mmengine - INFO - Epoch(val) [140][70/500] eta: 0:00:20 time: 0.0488 data_time: 0.0028 memory: 1013 2022/11/02 13:44:21 - mmengine - INFO - Epoch(val) [140][75/500] eta: 0:00:20 time: 0.0475 data_time: 0.0037 memory: 1013 2022/11/02 13:44:21 - mmengine - INFO - Epoch(val) [140][80/500] eta: 0:00:18 time: 0.0434 data_time: 0.0034 memory: 1013 2022/11/02 13:44:22 - mmengine - INFO - Epoch(val) [140][85/500] eta: 0:00:18 time: 0.0445 data_time: 0.0039 memory: 1013 2022/11/02 13:44:22 - mmengine - INFO - Epoch(val) [140][90/500] eta: 0:00:19 time: 0.0476 data_time: 0.0041 memory: 1013 2022/11/02 13:44:22 - mmengine - INFO - Epoch(val) [140][95/500] eta: 0:00:19 time: 0.0450 data_time: 0.0025 memory: 1013 2022/11/02 13:44:22 - mmengine - INFO - Epoch(val) [140][100/500] eta: 0:00:16 time: 0.0405 data_time: 0.0022 memory: 1013 2022/11/02 13:44:23 - mmengine - INFO - Epoch(val) [140][105/500] eta: 0:00:16 time: 0.0406 data_time: 0.0023 memory: 1013 2022/11/02 13:44:23 - mmengine - INFO - Epoch(val) [140][110/500] eta: 0:00:16 time: 0.0420 data_time: 0.0032 memory: 1013 2022/11/02 13:44:23 - mmengine - INFO - Epoch(val) [140][115/500] eta: 0:00:16 time: 0.0420 data_time: 0.0032 memory: 1013 2022/11/02 13:44:23 - mmengine - INFO - Epoch(val) [140][120/500] eta: 0:00:15 time: 0.0417 data_time: 0.0022 memory: 1013 2022/11/02 13:44:23 - mmengine - INFO - Epoch(val) [140][125/500] eta: 0:00:15 time: 0.0413 data_time: 0.0023 memory: 1013 2022/11/02 13:44:24 - mmengine - INFO - Epoch(val) [140][130/500] eta: 0:00:16 time: 0.0441 data_time: 0.0024 memory: 1013 2022/11/02 13:44:24 - mmengine - INFO - Epoch(val) [140][135/500] eta: 0:00:16 time: 0.0424 data_time: 0.0024 memory: 1013 2022/11/02 13:44:24 - mmengine - INFO - Epoch(val) [140][140/500] eta: 0:00:14 time: 0.0398 data_time: 0.0023 memory: 1013 2022/11/02 13:44:24 - mmengine - INFO - Epoch(val) [140][145/500] eta: 0:00:14 time: 0.0437 data_time: 0.0024 memory: 1013 2022/11/02 13:44:24 - mmengine - INFO - Epoch(val) [140][150/500] eta: 0:00:15 time: 0.0449 data_time: 0.0025 memory: 1013 2022/11/02 13:44:25 - mmengine - INFO - Epoch(val) [140][155/500] eta: 0:00:15 time: 0.0512 data_time: 0.0030 memory: 1013 2022/11/02 13:44:25 - mmengine - INFO - Epoch(val) [140][160/500] eta: 0:00:18 time: 0.0538 data_time: 0.0031 memory: 1013 2022/11/02 13:44:25 - mmengine - INFO - Epoch(val) [140][165/500] eta: 0:00:18 time: 0.0516 data_time: 0.0031 memory: 1013 2022/11/02 13:44:25 - mmengine - INFO - Epoch(val) [140][170/500] eta: 0:00:15 time: 0.0483 data_time: 0.0029 memory: 1013 2022/11/02 13:44:26 - mmengine - INFO - Epoch(val) [140][175/500] eta: 0:00:15 time: 0.0423 data_time: 0.0024 memory: 1013 2022/11/02 13:44:26 - mmengine - INFO - Epoch(val) [140][180/500] eta: 0:00:13 time: 0.0432 data_time: 0.0024 memory: 1013 2022/11/02 13:44:26 - mmengine - INFO - Epoch(val) [140][185/500] eta: 0:00:13 time: 0.0454 data_time: 0.0023 memory: 1013 2022/11/02 13:44:26 - mmengine - INFO - Epoch(val) [140][190/500] eta: 0:00:14 time: 0.0468 data_time: 0.0025 memory: 1013 2022/11/02 13:44:27 - mmengine - INFO - Epoch(val) [140][195/500] eta: 0:00:14 time: 0.0437 data_time: 0.0025 memory: 1013 2022/11/02 13:44:27 - mmengine - INFO - Epoch(val) [140][200/500] eta: 0:00:15 time: 0.0503 data_time: 0.0026 memory: 1013 2022/11/02 13:44:27 - mmengine - INFO - Epoch(val) [140][205/500] eta: 0:00:15 time: 0.0510 data_time: 0.0027 memory: 1013 2022/11/02 13:44:27 - mmengine - INFO - Epoch(val) [140][210/500] eta: 0:00:11 time: 0.0408 data_time: 0.0026 memory: 1013 2022/11/02 13:44:28 - mmengine - INFO - Epoch(val) [140][215/500] eta: 0:00:11 time: 0.0452 data_time: 0.0027 memory: 1013 2022/11/02 13:44:28 - mmengine - INFO - Epoch(val) [140][220/500] eta: 0:00:12 time: 0.0463 data_time: 0.0028 memory: 1013 2022/11/02 13:44:28 - mmengine - INFO - Epoch(val) [140][225/500] eta: 0:00:12 time: 0.0444 data_time: 0.0024 memory: 1013 2022/11/02 13:44:28 - mmengine - INFO - Epoch(val) [140][230/500] eta: 0:00:11 time: 0.0422 data_time: 0.0023 memory: 1013 2022/11/02 13:44:28 - mmengine - INFO - Epoch(val) [140][235/500] eta: 0:00:11 time: 0.0448 data_time: 0.0028 memory: 1013 2022/11/02 13:44:29 - mmengine - INFO - Epoch(val) [140][240/500] eta: 0:00:12 time: 0.0487 data_time: 0.0029 memory: 1013 2022/11/02 13:44:29 - mmengine - INFO - Epoch(val) [140][245/500] eta: 0:00:12 time: 0.0435 data_time: 0.0024 memory: 1013 2022/11/02 13:44:29 - mmengine - INFO - Epoch(val) [140][250/500] eta: 0:00:11 time: 0.0441 data_time: 0.0025 memory: 1013 2022/11/02 13:44:29 - mmengine - INFO - Epoch(val) [140][255/500] eta: 0:00:11 time: 0.0436 data_time: 0.0026 memory: 1013 2022/11/02 13:44:30 - mmengine - INFO - Epoch(val) [140][260/500] eta: 0:00:10 time: 0.0449 data_time: 0.0036 memory: 1013 2022/11/02 13:44:30 - mmengine - INFO - Epoch(val) [140][265/500] eta: 0:00:10 time: 0.0448 data_time: 0.0034 memory: 1013 2022/11/02 13:44:31 - mmengine - INFO - Epoch(val) [140][270/500] eta: 0:00:25 time: 0.1113 data_time: 0.0726 memory: 1013 2022/11/02 13:44:31 - mmengine - INFO - Epoch(val) [140][275/500] eta: 0:00:25 time: 0.1139 data_time: 0.0725 memory: 1013 2022/11/02 13:44:31 - mmengine - INFO - Epoch(val) [140][280/500] eta: 0:00:10 time: 0.0481 data_time: 0.0035 memory: 1013 2022/11/02 13:44:31 - mmengine - INFO - Epoch(val) [140][285/500] eta: 0:00:10 time: 0.0447 data_time: 0.0037 memory: 1013 2022/11/02 13:44:32 - mmengine - INFO - Epoch(val) [140][290/500] eta: 0:00:08 time: 0.0427 data_time: 0.0027 memory: 1013 2022/11/02 13:44:32 - mmengine - INFO - Epoch(val) [140][295/500] eta: 0:00:08 time: 0.0441 data_time: 0.0028 memory: 1013 2022/11/02 13:44:32 - mmengine - INFO - Epoch(val) [140][300/500] eta: 0:00:09 time: 0.0450 data_time: 0.0025 memory: 1013 2022/11/02 13:44:32 - mmengine - INFO - Epoch(val) [140][305/500] eta: 0:00:09 time: 0.0456 data_time: 0.0025 memory: 1013 2022/11/02 13:44:32 - mmengine - INFO - Epoch(val) [140][310/500] eta: 0:00:08 time: 0.0427 data_time: 0.0024 memory: 1013 2022/11/02 13:44:33 - mmengine - INFO - Epoch(val) [140][315/500] eta: 0:00:08 time: 0.0466 data_time: 0.0030 memory: 1013 2022/11/02 13:44:33 - mmengine - INFO - Epoch(val) [140][320/500] eta: 0:00:08 time: 0.0461 data_time: 0.0029 memory: 1013 2022/11/02 13:44:33 - mmengine - INFO - Epoch(val) [140][325/500] eta: 0:00:08 time: 0.0557 data_time: 0.0023 memory: 1013 2022/11/02 13:44:33 - mmengine - INFO - Epoch(val) [140][330/500] eta: 0:00:09 time: 0.0566 data_time: 0.0025 memory: 1013 2022/11/02 13:44:34 - mmengine - INFO - Epoch(val) [140][335/500] eta: 0:00:09 time: 0.0446 data_time: 0.0031 memory: 1013 2022/11/02 13:44:34 - mmengine - INFO - Epoch(val) [140][340/500] eta: 0:00:07 time: 0.0495 data_time: 0.0030 memory: 1013 2022/11/02 13:44:34 - mmengine - INFO - Epoch(val) [140][345/500] eta: 0:00:07 time: 0.0489 data_time: 0.0026 memory: 1013 2022/11/02 13:44:34 - mmengine - INFO - Epoch(val) [140][350/500] eta: 0:00:07 time: 0.0492 data_time: 0.0034 memory: 1013 2022/11/02 13:44:35 - mmengine - INFO - Epoch(val) [140][355/500] eta: 0:00:07 time: 0.0474 data_time: 0.0037 memory: 1013 2022/11/02 13:44:35 - mmengine - INFO - Epoch(val) [140][360/500] eta: 0:00:05 time: 0.0423 data_time: 0.0029 memory: 1013 2022/11/02 13:44:35 - mmengine - INFO - Epoch(val) [140][365/500] eta: 0:00:05 time: 0.0463 data_time: 0.0028 memory: 1013 2022/11/02 13:44:35 - mmengine - INFO - Epoch(val) [140][370/500] eta: 0:00:06 time: 0.0488 data_time: 0.0043 memory: 1013 2022/11/02 13:44:36 - mmengine - INFO - Epoch(val) [140][375/500] eta: 0:00:06 time: 0.0460 data_time: 0.0045 memory: 1013 2022/11/02 13:44:36 - mmengine - INFO - Epoch(val) [140][380/500] eta: 0:00:05 time: 0.0482 data_time: 0.0033 memory: 1013 2022/11/02 13:44:36 - mmengine - INFO - Epoch(val) [140][385/500] eta: 0:00:05 time: 0.0525 data_time: 0.0036 memory: 1013 2022/11/02 13:44:36 - mmengine - INFO - Epoch(val) [140][390/500] eta: 0:00:05 time: 0.0537 data_time: 0.0037 memory: 1013 2022/11/02 13:44:37 - mmengine - INFO - Epoch(val) [140][395/500] eta: 0:00:05 time: 0.0488 data_time: 0.0030 memory: 1013 2022/11/02 13:44:37 - mmengine - INFO - Epoch(val) [140][400/500] eta: 0:00:04 time: 0.0441 data_time: 0.0030 memory: 1013 2022/11/02 13:44:37 - mmengine - INFO - Epoch(val) [140][405/500] eta: 0:00:04 time: 0.0465 data_time: 0.0030 memory: 1013 2022/11/02 13:44:37 - mmengine - INFO - Epoch(val) [140][410/500] eta: 0:00:04 time: 0.0480 data_time: 0.0027 memory: 1013 2022/11/02 13:44:38 - mmengine - INFO - Epoch(val) [140][415/500] eta: 0:00:04 time: 0.0483 data_time: 0.0026 memory: 1013 2022/11/02 13:44:38 - mmengine - INFO - Epoch(val) [140][420/500] eta: 0:00:03 time: 0.0465 data_time: 0.0028 memory: 1013 2022/11/02 13:44:38 - mmengine - INFO - Epoch(val) [140][425/500] eta: 0:00:03 time: 0.0473 data_time: 0.0028 memory: 1013 2022/11/02 13:44:38 - mmengine - INFO - Epoch(val) [140][430/500] eta: 0:00:03 time: 0.0465 data_time: 0.0026 memory: 1013 2022/11/02 13:44:38 - mmengine - INFO - Epoch(val) [140][435/500] eta: 0:00:03 time: 0.0441 data_time: 0.0027 memory: 1013 2022/11/02 13:44:39 - mmengine - INFO - Epoch(val) [140][440/500] eta: 0:00:02 time: 0.0434 data_time: 0.0027 memory: 1013 2022/11/02 13:44:39 - mmengine - INFO - Epoch(val) [140][445/500] eta: 0:00:02 time: 0.0434 data_time: 0.0042 memory: 1013 2022/11/02 13:44:39 - mmengine - INFO - Epoch(val) [140][450/500] eta: 0:00:02 time: 0.0465 data_time: 0.0043 memory: 1013 2022/11/02 13:44:39 - mmengine - INFO - Epoch(val) [140][455/500] eta: 0:00:02 time: 0.0439 data_time: 0.0025 memory: 1013 2022/11/02 13:44:40 - mmengine - INFO - Epoch(val) [140][460/500] eta: 0:00:01 time: 0.0395 data_time: 0.0022 memory: 1013 2022/11/02 13:44:40 - mmengine - INFO - Epoch(val) [140][465/500] eta: 0:00:01 time: 0.0408 data_time: 0.0024 memory: 1013 2022/11/02 13:44:40 - mmengine - INFO - Epoch(val) [140][470/500] eta: 0:00:01 time: 0.0418 data_time: 0.0024 memory: 1013 2022/11/02 13:44:40 - mmengine - INFO - Epoch(val) [140][475/500] eta: 0:00:01 time: 0.0445 data_time: 0.0027 memory: 1013 2022/11/02 13:44:40 - mmengine - INFO - Epoch(val) [140][480/500] eta: 0:00:00 time: 0.0458 data_time: 0.0028 memory: 1013 2022/11/02 13:44:41 - mmengine - INFO - Epoch(val) [140][485/500] eta: 0:00:00 time: 0.0414 data_time: 0.0024 memory: 1013 2022/11/02 13:44:41 - mmengine - INFO - Epoch(val) [140][490/500] eta: 0:00:00 time: 0.0441 data_time: 0.0031 memory: 1013 2022/11/02 13:44:41 - mmengine - INFO - Epoch(val) [140][495/500] eta: 0:00:00 time: 0.0461 data_time: 0.0032 memory: 1013 2022/11/02 13:44:41 - mmengine - INFO - Epoch(val) [140][500/500] eta: 0:00:00 time: 0.0428 data_time: 0.0023 memory: 1013 2022/11/02 13:44:41 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 13:44:41 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7135, precision: 0.6034, hmean: 0.6539 2022/11/02 13:44:41 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7130, precision: 0.7450, hmean: 0.7287 2022/11/02 13:44:41 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7000, precision: 0.8137, hmean: 0.7526 2022/11/02 13:44:41 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6351, precision: 0.8689, hmean: 0.7338 2022/11/02 13:44:41 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.4343, precision: 0.9167, hmean: 0.5893 2022/11/02 13:44:41 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0664, precision: 0.9650, hmean: 0.1243 2022/11/02 13:44:41 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 13:44:41 - mmengine - INFO - Epoch(val) [140][500/500] icdar/precision: 0.8137 icdar/recall: 0.7000 icdar/hmean: 0.7526 2022/11/02 13:44:48 - mmengine - INFO - Epoch(train) [141][5/63] lr: 1.9344e-03 eta: 0:00:00 time: 0.8747 data_time: 0.2296 memory: 16395 loss: 2.5991 loss_prob: 1.6084 loss_thr: 0.7237 loss_db: 0.2670 2022/11/02 13:44:51 - mmengine - INFO - Epoch(train) [141][10/63] lr: 1.9344e-03 eta: 11:54:24 time: 0.9615 data_time: 0.2305 memory: 16395 loss: 2.7307 loss_prob: 1.7112 loss_thr: 0.7270 loss_db: 0.2925 2022/11/02 13:44:54 - mmengine - INFO - Epoch(train) [141][15/63] lr: 1.9344e-03 eta: 11:54:24 time: 0.5910 data_time: 0.0077 memory: 16395 loss: 2.8374 loss_prob: 1.7979 loss_thr: 0.7257 loss_db: 0.3137 2022/11/02 13:44:57 - mmengine - INFO - Epoch(train) [141][20/63] lr: 1.9344e-03 eta: 11:54:13 time: 0.5899 data_time: 0.0091 memory: 16395 loss: 2.8173 loss_prob: 1.7944 loss_thr: 0.7155 loss_db: 0.3074 2022/11/02 13:45:01 - mmengine - INFO - Epoch(train) [141][25/63] lr: 1.9344e-03 eta: 11:54:13 time: 0.6851 data_time: 0.0207 memory: 16395 loss: 2.8089 loss_prob: 1.7899 loss_thr: 0.7197 loss_db: 0.2993 2022/11/02 13:45:04 - mmengine - INFO - Epoch(train) [141][30/63] lr: 1.9344e-03 eta: 11:54:11 time: 0.6924 data_time: 0.0332 memory: 16395 loss: 2.9173 loss_prob: 1.8595 loss_thr: 0.7450 loss_db: 0.3128 2022/11/02 13:45:07 - mmengine - INFO - Epoch(train) [141][35/63] lr: 1.9344e-03 eta: 11:54:11 time: 0.6662 data_time: 0.0192 memory: 16395 loss: 2.7733 loss_prob: 1.7469 loss_thr: 0.7311 loss_db: 0.2953 2022/11/02 13:45:10 - mmengine - INFO - Epoch(train) [141][40/63] lr: 1.9344e-03 eta: 11:54:03 time: 0.6175 data_time: 0.0041 memory: 16395 loss: 2.7604 loss_prob: 1.7221 loss_thr: 0.7489 loss_db: 0.2895 2022/11/02 13:45:13 - mmengine - INFO - Epoch(train) [141][45/63] lr: 1.9344e-03 eta: 11:54:03 time: 0.5485 data_time: 0.0082 memory: 16395 loss: 2.7887 loss_prob: 1.7381 loss_thr: 0.7602 loss_db: 0.2904 2022/11/02 13:45:15 - mmengine - INFO - Epoch(train) [141][50/63] lr: 1.9344e-03 eta: 11:53:48 time: 0.5383 data_time: 0.0215 memory: 16395 loss: 2.7191 loss_prob: 1.7042 loss_thr: 0.7377 loss_db: 0.2772 2022/11/02 13:45:18 - mmengine - INFO - Epoch(train) [141][55/63] lr: 1.9344e-03 eta: 11:53:48 time: 0.5696 data_time: 0.0235 memory: 16395 loss: 2.6571 loss_prob: 1.6503 loss_thr: 0.7391 loss_db: 0.2676 2022/11/02 13:45:21 - mmengine - INFO - Epoch(train) [141][60/63] lr: 1.9344e-03 eta: 11:53:37 time: 0.5789 data_time: 0.0112 memory: 16395 loss: 2.4781 loss_prob: 1.5352 loss_thr: 0.6908 loss_db: 0.2521 2022/11/02 13:45:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:45:28 - mmengine - INFO - Epoch(train) [142][5/63] lr: 1.9327e-03 eta: 11:53:37 time: 0.7491 data_time: 0.2083 memory: 16395 loss: 2.5529 loss_prob: 1.6225 loss_thr: 0.6735 loss_db: 0.2569 2022/11/02 13:45:30 - mmengine - INFO - Epoch(train) [142][10/63] lr: 1.9327e-03 eta: 11:53:26 time: 0.8025 data_time: 0.2085 memory: 16395 loss: 2.5936 loss_prob: 1.6182 loss_thr: 0.7115 loss_db: 0.2638 2022/11/02 13:45:33 - mmengine - INFO - Epoch(train) [142][15/63] lr: 1.9327e-03 eta: 11:53:26 time: 0.5245 data_time: 0.0056 memory: 16395 loss: 2.6712 loss_prob: 1.6732 loss_thr: 0.7242 loss_db: 0.2739 2022/11/02 13:45:35 - mmengine - INFO - Epoch(train) [142][20/63] lr: 1.9327e-03 eta: 11:53:09 time: 0.4979 data_time: 0.0056 memory: 16395 loss: 2.6396 loss_prob: 1.6695 loss_thr: 0.7046 loss_db: 0.2655 2022/11/02 13:45:38 - mmengine - INFO - Epoch(train) [142][25/63] lr: 1.9327e-03 eta: 11:53:09 time: 0.5387 data_time: 0.0154 memory: 16395 loss: 2.4716 loss_prob: 1.5488 loss_thr: 0.6754 loss_db: 0.2474 2022/11/02 13:45:41 - mmengine - INFO - Epoch(train) [142][30/63] lr: 1.9327e-03 eta: 11:52:58 time: 0.5750 data_time: 0.0378 memory: 16395 loss: 2.5514 loss_prob: 1.6002 loss_thr: 0.6902 loss_db: 0.2610 2022/11/02 13:45:44 - mmengine - INFO - Epoch(train) [142][35/63] lr: 1.9327e-03 eta: 11:52:58 time: 0.5540 data_time: 0.0270 memory: 16395 loss: 2.5184 loss_prob: 1.5741 loss_thr: 0.6881 loss_db: 0.2562 2022/11/02 13:45:46 - mmengine - INFO - Epoch(train) [142][40/63] lr: 1.9327e-03 eta: 11:52:42 time: 0.5155 data_time: 0.0063 memory: 16395 loss: 2.6748 loss_prob: 1.6839 loss_thr: 0.7088 loss_db: 0.2821 2022/11/02 13:45:49 - mmengine - INFO - Epoch(train) [142][45/63] lr: 1.9327e-03 eta: 11:52:42 time: 0.5066 data_time: 0.0064 memory: 16395 loss: 2.7783 loss_prob: 1.7571 loss_thr: 0.7228 loss_db: 0.2983 2022/11/02 13:45:52 - mmengine - INFO - Epoch(train) [142][50/63] lr: 1.9327e-03 eta: 11:52:28 time: 0.5457 data_time: 0.0136 memory: 16395 loss: 2.5596 loss_prob: 1.6051 loss_thr: 0.6885 loss_db: 0.2660 2022/11/02 13:45:55 - mmengine - INFO - Epoch(train) [142][55/63] lr: 1.9327e-03 eta: 11:52:28 time: 0.5780 data_time: 0.0276 memory: 16395 loss: 2.5672 loss_prob: 1.6056 loss_thr: 0.6994 loss_db: 0.2622 2022/11/02 13:45:57 - mmengine - INFO - Epoch(train) [142][60/63] lr: 1.9327e-03 eta: 11:52:15 time: 0.5413 data_time: 0.0198 memory: 16395 loss: 2.5891 loss_prob: 1.6065 loss_thr: 0.7233 loss_db: 0.2593 2022/11/02 13:45:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:46:03 - mmengine - INFO - Epoch(train) [143][5/63] lr: 1.9311e-03 eta: 11:52:15 time: 0.7265 data_time: 0.2073 memory: 16395 loss: 2.5695 loss_prob: 1.5812 loss_thr: 0.7297 loss_db: 0.2586 2022/11/02 13:46:06 - mmengine - INFO - Epoch(train) [143][10/63] lr: 1.9311e-03 eta: 11:52:03 time: 0.7909 data_time: 0.2111 memory: 16395 loss: 2.5428 loss_prob: 1.5651 loss_thr: 0.7164 loss_db: 0.2613 2022/11/02 13:46:09 - mmengine - INFO - Epoch(train) [143][15/63] lr: 1.9311e-03 eta: 11:52:03 time: 0.5843 data_time: 0.0098 memory: 16395 loss: 2.4302 loss_prob: 1.4933 loss_thr: 0.6922 loss_db: 0.2447 2022/11/02 13:46:12 - mmengine - INFO - Epoch(train) [143][20/63] lr: 1.9311e-03 eta: 11:51:49 time: 0.5359 data_time: 0.0050 memory: 16395 loss: 2.4897 loss_prob: 1.5409 loss_thr: 0.6986 loss_db: 0.2503 2022/11/02 13:46:14 - mmengine - INFO - Epoch(train) [143][25/63] lr: 1.9311e-03 eta: 11:51:49 time: 0.5195 data_time: 0.0060 memory: 16395 loss: 2.4551 loss_prob: 1.5112 loss_thr: 0.6997 loss_db: 0.2442 2022/11/02 13:46:17 - mmengine - INFO - Epoch(train) [143][30/63] lr: 1.9311e-03 eta: 11:51:37 time: 0.5622 data_time: 0.0272 memory: 16395 loss: 2.5063 loss_prob: 1.5520 loss_thr: 0.7066 loss_db: 0.2477 2022/11/02 13:46:20 - mmengine - INFO - Epoch(train) [143][35/63] lr: 1.9311e-03 eta: 11:51:37 time: 0.5555 data_time: 0.0304 memory: 16395 loss: 2.4957 loss_prob: 1.5602 loss_thr: 0.6861 loss_db: 0.2494 2022/11/02 13:46:23 - mmengine - INFO - Epoch(train) [143][40/63] lr: 1.9311e-03 eta: 11:51:22 time: 0.5284 data_time: 0.0088 memory: 16395 loss: 2.5238 loss_prob: 1.5790 loss_thr: 0.6876 loss_db: 0.2572 2022/11/02 13:46:25 - mmengine - INFO - Epoch(train) [143][45/63] lr: 1.9311e-03 eta: 11:51:22 time: 0.5125 data_time: 0.0067 memory: 16395 loss: 2.7171 loss_prob: 1.7044 loss_thr: 0.7315 loss_db: 0.2812 2022/11/02 13:46:28 - mmengine - INFO - Epoch(train) [143][50/63] lr: 1.9311e-03 eta: 11:51:10 time: 0.5677 data_time: 0.0129 memory: 16395 loss: 2.6383 loss_prob: 1.6461 loss_thr: 0.7263 loss_db: 0.2659 2022/11/02 13:46:30 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:46:31 - mmengine - INFO - Epoch(train) [143][55/63] lr: 1.9311e-03 eta: 11:51:10 time: 0.5756 data_time: 0.0319 memory: 16395 loss: 2.5609 loss_prob: 1.5798 loss_thr: 0.7287 loss_db: 0.2523 2022/11/02 13:46:34 - mmengine - INFO - Epoch(train) [143][60/63] lr: 1.9311e-03 eta: 11:50:58 time: 0.5627 data_time: 0.0289 memory: 16395 loss: 2.7411 loss_prob: 1.6947 loss_thr: 0.7663 loss_db: 0.2800 2022/11/02 13:46:35 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:46:40 - mmengine - INFO - Epoch(train) [144][5/63] lr: 1.9294e-03 eta: 11:50:58 time: 0.6933 data_time: 0.1970 memory: 16395 loss: 2.7202 loss_prob: 1.6856 loss_thr: 0.7524 loss_db: 0.2823 2022/11/02 13:46:43 - mmengine - INFO - Epoch(train) [144][10/63] lr: 1.9294e-03 eta: 11:50:43 time: 0.7448 data_time: 0.1975 memory: 16395 loss: 2.5999 loss_prob: 1.6115 loss_thr: 0.7212 loss_db: 0.2673 2022/11/02 13:46:45 - mmengine - INFO - Epoch(train) [144][15/63] lr: 1.9294e-03 eta: 11:50:43 time: 0.5746 data_time: 0.0088 memory: 16395 loss: 2.5780 loss_prob: 1.6100 loss_thr: 0.6957 loss_db: 0.2722 2022/11/02 13:46:48 - mmengine - INFO - Epoch(train) [144][20/63] lr: 1.9294e-03 eta: 11:50:29 time: 0.5349 data_time: 0.0091 memory: 16395 loss: 2.6595 loss_prob: 1.6802 loss_thr: 0.6973 loss_db: 0.2820 2022/11/02 13:46:52 - mmengine - INFO - Epoch(train) [144][25/63] lr: 1.9294e-03 eta: 11:50:29 time: 0.6047 data_time: 0.0244 memory: 16395 loss: 2.8305 loss_prob: 1.8038 loss_thr: 0.7274 loss_db: 0.2993 2022/11/02 13:46:55 - mmengine - INFO - Epoch(train) [144][30/63] lr: 1.9294e-03 eta: 11:50:27 time: 0.7043 data_time: 0.0334 memory: 16395 loss: 2.9290 loss_prob: 1.8688 loss_thr: 0.7457 loss_db: 0.3145 2022/11/02 13:46:58 - mmengine - INFO - Epoch(train) [144][35/63] lr: 1.9294e-03 eta: 11:50:27 time: 0.6551 data_time: 0.0176 memory: 16395 loss: 2.6881 loss_prob: 1.6819 loss_thr: 0.7219 loss_db: 0.2843 2022/11/02 13:47:01 - mmengine - INFO - Epoch(train) [144][40/63] lr: 1.9294e-03 eta: 11:50:20 time: 0.6338 data_time: 0.0107 memory: 16395 loss: 2.4873 loss_prob: 1.5300 loss_thr: 0.7096 loss_db: 0.2478 2022/11/02 13:47:06 - mmengine - INFO - Epoch(train) [144][45/63] lr: 1.9294e-03 eta: 11:50:20 time: 0.7574 data_time: 0.0095 memory: 16395 loss: 2.5047 loss_prob: 1.5527 loss_thr: 0.7077 loss_db: 0.2442 2022/11/02 13:47:09 - mmengine - INFO - Epoch(train) [144][50/63] lr: 1.9294e-03 eta: 11:50:25 time: 0.7953 data_time: 0.0249 memory: 16395 loss: 2.5980 loss_prob: 1.6202 loss_thr: 0.7086 loss_db: 0.2692 2022/11/02 13:47:12 - mmengine - INFO - Epoch(train) [144][55/63] lr: 1.9294e-03 eta: 11:50:25 time: 0.6458 data_time: 0.0263 memory: 16395 loss: 2.6688 loss_prob: 1.6562 loss_thr: 0.7298 loss_db: 0.2828 2022/11/02 13:47:15 - mmengine - INFO - Epoch(train) [144][60/63] lr: 1.9294e-03 eta: 11:50:15 time: 0.5936 data_time: 0.0098 memory: 16395 loss: 2.6275 loss_prob: 1.6386 loss_thr: 0.7142 loss_db: 0.2747 2022/11/02 13:47:17 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:47:22 - mmengine - INFO - Epoch(train) [145][5/63] lr: 1.9278e-03 eta: 11:50:15 time: 0.7727 data_time: 0.1959 memory: 16395 loss: 2.5907 loss_prob: 1.6243 loss_thr: 0.6965 loss_db: 0.2699 2022/11/02 13:47:26 - mmengine - INFO - Epoch(train) [145][10/63] lr: 1.9278e-03 eta: 11:50:13 time: 0.9197 data_time: 0.2015 memory: 16395 loss: 2.6085 loss_prob: 1.6504 loss_thr: 0.6844 loss_db: 0.2737 2022/11/02 13:47:29 - mmengine - INFO - Epoch(train) [145][15/63] lr: 1.9278e-03 eta: 11:50:13 time: 0.6820 data_time: 0.0118 memory: 16395 loss: 2.8513 loss_prob: 1.7862 loss_thr: 0.7642 loss_db: 0.3010 2022/11/02 13:47:32 - mmengine - INFO - Epoch(train) [145][20/63] lr: 1.9278e-03 eta: 11:50:08 time: 0.6472 data_time: 0.0070 memory: 16395 loss: 3.1339 loss_prob: 1.9948 loss_thr: 0.7955 loss_db: 0.3436 2022/11/02 13:47:36 - mmengine - INFO - Epoch(train) [145][25/63] lr: 1.9278e-03 eta: 11:50:08 time: 0.7167 data_time: 0.0204 memory: 16395 loss: 2.9674 loss_prob: 1.8979 loss_thr: 0.7452 loss_db: 0.3243 2022/11/02 13:47:39 - mmengine - INFO - Epoch(train) [145][30/63] lr: 1.9278e-03 eta: 11:50:05 time: 0.6891 data_time: 0.0356 memory: 16395 loss: 2.8939 loss_prob: 1.8347 loss_thr: 0.7451 loss_db: 0.3141 2022/11/02 13:47:42 - mmengine - INFO - Epoch(train) [145][35/63] lr: 1.9278e-03 eta: 11:50:05 time: 0.6227 data_time: 0.0268 memory: 16395 loss: 2.9142 loss_prob: 1.8345 loss_thr: 0.7648 loss_db: 0.3149 2022/11/02 13:47:46 - mmengine - INFO - Epoch(train) [145][40/63] lr: 1.9278e-03 eta: 11:49:59 time: 0.6448 data_time: 0.0095 memory: 16395 loss: 2.7484 loss_prob: 1.7127 loss_thr: 0.7477 loss_db: 0.2880 2022/11/02 13:47:48 - mmengine - INFO - Epoch(train) [145][45/63] lr: 1.9278e-03 eta: 11:49:59 time: 0.6079 data_time: 0.0060 memory: 16395 loss: 2.9524 loss_prob: 1.8772 loss_thr: 0.7485 loss_db: 0.3267 2022/11/02 13:47:52 - mmengine - INFO - Epoch(train) [145][50/63] lr: 1.9278e-03 eta: 11:49:49 time: 0.5955 data_time: 0.0090 memory: 16395 loss: 3.0588 loss_prob: 1.9518 loss_thr: 0.7672 loss_db: 0.3398 2022/11/02 13:47:54 - mmengine - INFO - Epoch(train) [145][55/63] lr: 1.9278e-03 eta: 11:49:49 time: 0.6082 data_time: 0.0197 memory: 16395 loss: 2.7928 loss_prob: 1.7649 loss_thr: 0.7356 loss_db: 0.2923 2022/11/02 13:47:57 - mmengine - INFO - Epoch(train) [145][60/63] lr: 1.9278e-03 eta: 11:49:35 time: 0.5372 data_time: 0.0181 memory: 16395 loss: 2.6389 loss_prob: 1.6496 loss_thr: 0.7194 loss_db: 0.2698 2022/11/02 13:47:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:48:03 - mmengine - INFO - Epoch(train) [146][5/63] lr: 1.9261e-03 eta: 11:49:35 time: 0.6997 data_time: 0.1962 memory: 16395 loss: 2.5016 loss_prob: 1.5384 loss_thr: 0.7134 loss_db: 0.2499 2022/11/02 13:48:06 - mmengine - INFO - Epoch(train) [146][10/63] lr: 1.9261e-03 eta: 11:49:19 time: 0.7326 data_time: 0.1960 memory: 16395 loss: 2.3692 loss_prob: 1.4551 loss_thr: 0.6799 loss_db: 0.2342 2022/11/02 13:48:08 - mmengine - INFO - Epoch(train) [146][15/63] lr: 1.9261e-03 eta: 11:49:19 time: 0.5441 data_time: 0.0046 memory: 16395 loss: 2.5931 loss_prob: 1.6397 loss_thr: 0.6793 loss_db: 0.2741 2022/11/02 13:48:11 - mmengine - INFO - Epoch(train) [146][20/63] lr: 1.9261e-03 eta: 11:49:05 time: 0.5300 data_time: 0.0068 memory: 16395 loss: 2.8239 loss_prob: 1.8110 loss_thr: 0.7025 loss_db: 0.3104 2022/11/02 13:48:14 - mmengine - INFO - Epoch(train) [146][25/63] lr: 1.9261e-03 eta: 11:49:05 time: 0.5237 data_time: 0.0205 memory: 16395 loss: 2.8141 loss_prob: 1.7945 loss_thr: 0.7166 loss_db: 0.3030 2022/11/02 13:48:16 - mmengine - INFO - Epoch(train) [146][30/63] lr: 1.9261e-03 eta: 11:48:52 time: 0.5539 data_time: 0.0326 memory: 16395 loss: 2.8810 loss_prob: 1.8255 loss_thr: 0.7478 loss_db: 0.3077 2022/11/02 13:48:19 - mmengine - INFO - Epoch(train) [146][35/63] lr: 1.9261e-03 eta: 11:48:52 time: 0.5337 data_time: 0.0193 memory: 16395 loss: 3.0837 loss_prob: 1.9671 loss_thr: 0.7781 loss_db: 0.3386 2022/11/02 13:48:22 - mmengine - INFO - Epoch(train) [146][40/63] lr: 1.9261e-03 eta: 11:48:38 time: 0.5286 data_time: 0.0056 memory: 16395 loss: 2.8603 loss_prob: 1.8032 loss_thr: 0.7564 loss_db: 0.3007 2022/11/02 13:48:24 - mmengine - INFO - Epoch(train) [146][45/63] lr: 1.9261e-03 eta: 11:48:38 time: 0.5474 data_time: 0.0061 memory: 16395 loss: 2.7218 loss_prob: 1.7032 loss_thr: 0.7356 loss_db: 0.2830 2022/11/02 13:48:27 - mmengine - INFO - Epoch(train) [146][50/63] lr: 1.9261e-03 eta: 11:48:25 time: 0.5571 data_time: 0.0218 memory: 16395 loss: 2.8856 loss_prob: 1.8364 loss_thr: 0.7399 loss_db: 0.3093 2022/11/02 13:48:30 - mmengine - INFO - Epoch(train) [146][55/63] lr: 1.9261e-03 eta: 11:48:25 time: 0.5328 data_time: 0.0223 memory: 16395 loss: 2.8785 loss_prob: 1.8293 loss_thr: 0.7430 loss_db: 0.3063 2022/11/02 13:48:32 - mmengine - INFO - Epoch(train) [146][60/63] lr: 1.9261e-03 eta: 11:48:10 time: 0.5159 data_time: 0.0065 memory: 16395 loss: 2.8292 loss_prob: 1.7847 loss_thr: 0.7435 loss_db: 0.3010 2022/11/02 13:48:34 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:48:38 - mmengine - INFO - Epoch(train) [147][5/63] lr: 1.9245e-03 eta: 11:48:10 time: 0.7084 data_time: 0.1860 memory: 16395 loss: 2.8226 loss_prob: 1.7549 loss_thr: 0.7598 loss_db: 0.3079 2022/11/02 13:48:41 - mmengine - INFO - Epoch(train) [147][10/63] lr: 1.9245e-03 eta: 11:47:53 time: 0.7153 data_time: 0.1938 memory: 16395 loss: 2.9642 loss_prob: 1.8644 loss_thr: 0.7644 loss_db: 0.3355 2022/11/02 13:48:44 - mmengine - INFO - Epoch(train) [147][15/63] lr: 1.9245e-03 eta: 11:47:53 time: 0.5077 data_time: 0.0136 memory: 16395 loss: 2.7064 loss_prob: 1.6947 loss_thr: 0.7219 loss_db: 0.2898 2022/11/02 13:48:46 - mmengine - INFO - Epoch(train) [147][20/63] lr: 1.9245e-03 eta: 11:47:38 time: 0.5116 data_time: 0.0068 memory: 16395 loss: 2.6258 loss_prob: 1.6433 loss_thr: 0.7066 loss_db: 0.2759 2022/11/02 13:48:49 - mmengine - INFO - Epoch(train) [147][25/63] lr: 1.9245e-03 eta: 11:47:38 time: 0.5532 data_time: 0.0281 memory: 16395 loss: 2.6196 loss_prob: 1.6633 loss_thr: 0.6848 loss_db: 0.2715 2022/11/02 13:48:52 - mmengine - INFO - Epoch(train) [147][30/63] lr: 1.9245e-03 eta: 11:47:26 time: 0.5633 data_time: 0.0314 memory: 16395 loss: 2.5697 loss_prob: 1.6052 loss_thr: 0.7011 loss_db: 0.2634 2022/11/02 13:48:54 - mmengine - INFO - Epoch(train) [147][35/63] lr: 1.9245e-03 eta: 11:47:26 time: 0.5219 data_time: 0.0116 memory: 16395 loss: 2.6439 loss_prob: 1.6453 loss_thr: 0.7222 loss_db: 0.2764 2022/11/02 13:48:57 - mmengine - INFO - Epoch(train) [147][40/63] lr: 1.9245e-03 eta: 11:47:09 time: 0.5008 data_time: 0.0080 memory: 16395 loss: 2.5573 loss_prob: 1.5998 loss_thr: 0.6963 loss_db: 0.2612 2022/11/02 13:48:59 - mmengine - INFO - Epoch(train) [147][45/63] lr: 1.9245e-03 eta: 11:47:09 time: 0.4893 data_time: 0.0063 memory: 16395 loss: 2.6691 loss_prob: 1.6788 loss_thr: 0.7138 loss_db: 0.2765 2022/11/02 13:49:02 - mmengine - INFO - Epoch(train) [147][50/63] lr: 1.9245e-03 eta: 11:46:54 time: 0.5112 data_time: 0.0183 memory: 16395 loss: 2.7931 loss_prob: 1.7505 loss_thr: 0.7483 loss_db: 0.2943 2022/11/02 13:49:04 - mmengine - INFO - Epoch(train) [147][55/63] lr: 1.9245e-03 eta: 11:46:54 time: 0.5289 data_time: 0.0183 memory: 16395 loss: 2.6236 loss_prob: 1.6382 loss_thr: 0.7107 loss_db: 0.2746 2022/11/02 13:49:07 - mmengine - INFO - Epoch(train) [147][60/63] lr: 1.9245e-03 eta: 11:46:39 time: 0.5197 data_time: 0.0078 memory: 16395 loss: 2.7168 loss_prob: 1.6957 loss_thr: 0.7311 loss_db: 0.2901 2022/11/02 13:49:08 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:49:13 - mmengine - INFO - Epoch(train) [148][5/63] lr: 1.9229e-03 eta: 11:46:39 time: 0.6949 data_time: 0.1846 memory: 16395 loss: 2.7391 loss_prob: 1.7114 loss_thr: 0.7429 loss_db: 0.2847 2022/11/02 13:49:16 - mmengine - INFO - Epoch(train) [148][10/63] lr: 1.9229e-03 eta: 11:46:22 time: 0.7178 data_time: 0.1888 memory: 16395 loss: 2.6348 loss_prob: 1.6622 loss_thr: 0.7024 loss_db: 0.2702 2022/11/02 13:49:18 - mmengine - INFO - Epoch(train) [148][15/63] lr: 1.9229e-03 eta: 11:46:22 time: 0.5355 data_time: 0.0134 memory: 16395 loss: 2.7097 loss_prob: 1.7196 loss_thr: 0.7010 loss_db: 0.2891 2022/11/02 13:49:21 - mmengine - INFO - Epoch(train) [148][20/63] lr: 1.9229e-03 eta: 11:46:09 time: 0.5385 data_time: 0.0103 memory: 16395 loss: 2.7906 loss_prob: 1.7431 loss_thr: 0.7497 loss_db: 0.2977 2022/11/02 13:49:24 - mmengine - INFO - Epoch(train) [148][25/63] lr: 1.9229e-03 eta: 11:46:09 time: 0.5369 data_time: 0.0152 memory: 16395 loss: 2.7396 loss_prob: 1.7004 loss_thr: 0.7504 loss_db: 0.2888 2022/11/02 13:49:28 - mmengine - INFO - Epoch(train) [148][30/63] lr: 1.9229e-03 eta: 11:46:05 time: 0.6756 data_time: 0.0372 memory: 16395 loss: 2.6969 loss_prob: 1.7005 loss_thr: 0.7162 loss_db: 0.2803 2022/11/02 13:49:31 - mmengine - INFO - Epoch(train) [148][35/63] lr: 1.9229e-03 eta: 11:46:05 time: 0.7759 data_time: 0.0331 memory: 16395 loss: 2.5716 loss_prob: 1.6240 loss_thr: 0.6903 loss_db: 0.2572 2022/11/02 13:49:35 - mmengine - INFO - Epoch(train) [148][40/63] lr: 1.9229e-03 eta: 11:46:05 time: 0.7298 data_time: 0.0122 memory: 16395 loss: 2.5069 loss_prob: 1.5394 loss_thr: 0.7206 loss_db: 0.2469 2022/11/02 13:49:39 - mmengine - INFO - Epoch(train) [148][45/63] lr: 1.9229e-03 eta: 11:46:05 time: 0.7047 data_time: 0.0093 memory: 16395 loss: 2.6010 loss_prob: 1.6151 loss_thr: 0.7196 loss_db: 0.2662 2022/11/02 13:49:41 - mmengine - INFO - Epoch(train) [148][50/63] lr: 1.9229e-03 eta: 11:45:58 time: 0.6222 data_time: 0.0128 memory: 16395 loss: 2.7139 loss_prob: 1.7269 loss_thr: 0.6994 loss_db: 0.2875 2022/11/02 13:49:44 - mmengine - INFO - Epoch(train) [148][55/63] lr: 1.9229e-03 eta: 11:45:58 time: 0.5825 data_time: 0.0182 memory: 16395 loss: 2.6179 loss_prob: 1.6350 loss_thr: 0.7129 loss_db: 0.2699 2022/11/02 13:49:48 - mmengine - INFO - Epoch(train) [148][60/63] lr: 1.9229e-03 eta: 11:45:50 time: 0.6252 data_time: 0.0148 memory: 16395 loss: 2.5563 loss_prob: 1.6001 loss_thr: 0.6945 loss_db: 0.2617 2022/11/02 13:49:49 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:49:54 - mmengine - INFO - Epoch(train) [149][5/63] lr: 1.9212e-03 eta: 11:45:50 time: 0.7913 data_time: 0.2298 memory: 16395 loss: 2.7184 loss_prob: 1.6933 loss_thr: 0.7432 loss_db: 0.2820 2022/11/02 13:49:58 - mmengine - INFO - Epoch(train) [149][10/63] lr: 1.9212e-03 eta: 11:45:46 time: 0.8843 data_time: 0.2270 memory: 16395 loss: 2.6854 loss_prob: 1.6808 loss_thr: 0.7309 loss_db: 0.2738 2022/11/02 13:50:01 - mmengine - INFO - Epoch(train) [149][15/63] lr: 1.9212e-03 eta: 11:45:46 time: 0.6151 data_time: 0.0104 memory: 16395 loss: 2.8435 loss_prob: 1.8187 loss_thr: 0.7248 loss_db: 0.3000 2022/11/02 13:50:03 - mmengine - INFO - Epoch(train) [149][20/63] lr: 1.9212e-03 eta: 11:45:32 time: 0.5304 data_time: 0.0082 memory: 16395 loss: 2.9027 loss_prob: 1.8662 loss_thr: 0.7225 loss_db: 0.3139 2022/11/02 13:50:07 - mmengine - INFO - Epoch(train) [149][25/63] lr: 1.9212e-03 eta: 11:45:32 time: 0.6150 data_time: 0.0093 memory: 16395 loss: 2.7037 loss_prob: 1.7146 loss_thr: 0.7050 loss_db: 0.2841 2022/11/02 13:50:10 - mmengine - INFO - Epoch(train) [149][30/63] lr: 1.9212e-03 eta: 11:45:31 time: 0.7196 data_time: 0.0466 memory: 16395 loss: 2.4250 loss_prob: 1.5073 loss_thr: 0.6738 loss_db: 0.2439 2022/11/02 13:50:14 - mmengine - INFO - Epoch(train) [149][35/63] lr: 1.9212e-03 eta: 11:45:31 time: 0.6953 data_time: 0.0443 memory: 16395 loss: 2.3721 loss_prob: 1.4663 loss_thr: 0.6665 loss_db: 0.2393 2022/11/02 13:50:16 - mmengine - INFO - Epoch(train) [149][40/63] lr: 1.9212e-03 eta: 11:45:23 time: 0.6159 data_time: 0.0103 memory: 16395 loss: 2.5296 loss_prob: 1.5786 loss_thr: 0.6885 loss_db: 0.2625 2022/11/02 13:50:19 - mmengine - INFO - Epoch(train) [149][45/63] lr: 1.9212e-03 eta: 11:45:23 time: 0.5334 data_time: 0.0090 memory: 16395 loss: 2.5117 loss_prob: 1.5676 loss_thr: 0.6889 loss_db: 0.2551 2022/11/02 13:50:24 - mmengine - INFO - Epoch(train) [149][50/63] lr: 1.9212e-03 eta: 11:45:22 time: 0.7174 data_time: 0.0173 memory: 16395 loss: 2.4716 loss_prob: 1.5259 loss_thr: 0.7010 loss_db: 0.2447 2022/11/02 13:50:27 - mmengine - INFO - Epoch(train) [149][55/63] lr: 1.9212e-03 eta: 11:45:22 time: 0.7960 data_time: 0.0206 memory: 16395 loss: 2.6420 loss_prob: 1.6380 loss_thr: 0.7296 loss_db: 0.2744 2022/11/02 13:50:29 - mmengine - INFO - Epoch(train) [149][60/63] lr: 1.9212e-03 eta: 11:45:11 time: 0.5714 data_time: 0.0086 memory: 16395 loss: 2.8261 loss_prob: 1.7641 loss_thr: 0.7592 loss_db: 0.3028 2022/11/02 13:50:31 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:50:35 - mmengine - INFO - Epoch(train) [150][5/63] lr: 1.9196e-03 eta: 11:45:11 time: 0.7143 data_time: 0.2418 memory: 16395 loss: 3.0050 loss_prob: 1.9184 loss_thr: 0.7594 loss_db: 0.3272 2022/11/02 13:50:38 - mmengine - INFO - Epoch(train) [150][10/63] lr: 1.9196e-03 eta: 11:44:56 time: 0.7308 data_time: 0.2419 memory: 16395 loss: 3.0010 loss_prob: 1.9205 loss_thr: 0.7546 loss_db: 0.3259 2022/11/02 13:50:41 - mmengine - INFO - Epoch(train) [150][15/63] lr: 1.9196e-03 eta: 11:44:56 time: 0.5094 data_time: 0.0050 memory: 16395 loss: 2.7129 loss_prob: 1.7028 loss_thr: 0.7251 loss_db: 0.2850 2022/11/02 13:50:43 - mmengine - INFO - Epoch(train) [150][20/63] lr: 1.9196e-03 eta: 11:44:40 time: 0.5121 data_time: 0.0047 memory: 16395 loss: 2.6598 loss_prob: 1.6574 loss_thr: 0.7251 loss_db: 0.2773 2022/11/02 13:50:46 - mmengine - INFO - Epoch(train) [150][25/63] lr: 1.9196e-03 eta: 11:44:40 time: 0.5307 data_time: 0.0338 memory: 16395 loss: 2.7767 loss_prob: 1.7383 loss_thr: 0.7500 loss_db: 0.2884 2022/11/02 13:50:49 - mmengine - INFO - Epoch(train) [150][30/63] lr: 1.9196e-03 eta: 11:44:28 time: 0.5489 data_time: 0.0340 memory: 16395 loss: 2.6683 loss_prob: 1.6640 loss_thr: 0.7340 loss_db: 0.2702 2022/11/02 13:50:51 - mmengine - INFO - Epoch(train) [150][35/63] lr: 1.9196e-03 eta: 11:44:28 time: 0.5222 data_time: 0.0044 memory: 16395 loss: 2.5810 loss_prob: 1.6065 loss_thr: 0.7122 loss_db: 0.2623 2022/11/02 13:50:54 - mmengine - INFO - Epoch(train) [150][40/63] lr: 1.9196e-03 eta: 11:44:12 time: 0.5110 data_time: 0.0053 memory: 16395 loss: 2.4875 loss_prob: 1.5451 loss_thr: 0.6900 loss_db: 0.2523 2022/11/02 13:50:56 - mmengine - INFO - Epoch(train) [150][45/63] lr: 1.9196e-03 eta: 11:44:12 time: 0.5317 data_time: 0.0070 memory: 16395 loss: 2.4571 loss_prob: 1.5233 loss_thr: 0.6870 loss_db: 0.2469 2022/11/02 13:50:59 - mmengine - INFO - Epoch(train) [150][50/63] lr: 1.9196e-03 eta: 11:44:00 time: 0.5576 data_time: 0.0232 memory: 16395 loss: 2.5676 loss_prob: 1.5904 loss_thr: 0.7170 loss_db: 0.2602 2022/11/02 13:51:02 - mmengine - INFO - Epoch(train) [150][55/63] lr: 1.9196e-03 eta: 11:44:00 time: 0.5364 data_time: 0.0218 memory: 16395 loss: 2.4793 loss_prob: 1.5185 loss_thr: 0.7118 loss_db: 0.2490 2022/11/02 13:51:04 - mmengine - INFO - Epoch(train) [150][60/63] lr: 1.9196e-03 eta: 11:43:46 time: 0.5250 data_time: 0.0047 memory: 16395 loss: 2.3348 loss_prob: 1.3997 loss_thr: 0.7065 loss_db: 0.2286 2022/11/02 13:51:06 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:51:11 - mmengine - INFO - Epoch(train) [151][5/63] lr: 1.9179e-03 eta: 11:43:46 time: 0.7105 data_time: 0.2211 memory: 16395 loss: 2.6732 loss_prob: 1.6538 loss_thr: 0.7420 loss_db: 0.2774 2022/11/02 13:51:13 - mmengine - INFO - Epoch(train) [151][10/63] lr: 1.9179e-03 eta: 11:43:30 time: 0.7216 data_time: 0.2288 memory: 16395 loss: 2.7638 loss_prob: 1.7445 loss_thr: 0.7303 loss_db: 0.2890 2022/11/02 13:51:16 - mmengine - INFO - Epoch(train) [151][15/63] lr: 1.9179e-03 eta: 11:43:30 time: 0.5243 data_time: 0.0130 memory: 16395 loss: 2.7914 loss_prob: 1.7592 loss_thr: 0.7393 loss_db: 0.2930 2022/11/02 13:51:18 - mmengine - INFO - Epoch(train) [151][20/63] lr: 1.9179e-03 eta: 11:43:17 time: 0.5360 data_time: 0.0051 memory: 16395 loss: 2.6461 loss_prob: 1.6511 loss_thr: 0.7185 loss_db: 0.2765 2022/11/02 13:51:21 - mmengine - INFO - Epoch(train) [151][25/63] lr: 1.9179e-03 eta: 11:43:17 time: 0.5357 data_time: 0.0212 memory: 16395 loss: 2.6605 loss_prob: 1.6595 loss_thr: 0.7219 loss_db: 0.2791 2022/11/02 13:51:24 - mmengine - INFO - Epoch(train) [151][30/63] lr: 1.9179e-03 eta: 11:43:03 time: 0.5360 data_time: 0.0273 memory: 16395 loss: 2.7187 loss_prob: 1.7125 loss_thr: 0.7211 loss_db: 0.2851 2022/11/02 13:51:27 - mmengine - INFO - Epoch(train) [151][35/63] lr: 1.9179e-03 eta: 11:43:03 time: 0.5525 data_time: 0.0174 memory: 16395 loss: 2.5434 loss_prob: 1.5913 loss_thr: 0.6900 loss_db: 0.2621 2022/11/02 13:51:29 - mmengine - INFO - Epoch(train) [151][40/63] lr: 1.9179e-03 eta: 11:42:50 time: 0.5438 data_time: 0.0114 memory: 16395 loss: 2.5717 loss_prob: 1.5910 loss_thr: 0.7125 loss_db: 0.2682 2022/11/02 13:51:32 - mmengine - INFO - Epoch(train) [151][45/63] lr: 1.9179e-03 eta: 11:42:50 time: 0.5031 data_time: 0.0043 memory: 16395 loss: 2.7142 loss_prob: 1.6995 loss_thr: 0.7270 loss_db: 0.2877 2022/11/02 13:51:35 - mmengine - INFO - Epoch(train) [151][50/63] lr: 1.9179e-03 eta: 11:42:36 time: 0.5330 data_time: 0.0157 memory: 16395 loss: 2.6274 loss_prob: 1.6475 loss_thr: 0.7061 loss_db: 0.2738 2022/11/02 13:51:37 - mmengine - INFO - Epoch(train) [151][55/63] lr: 1.9179e-03 eta: 11:42:36 time: 0.5469 data_time: 0.0197 memory: 16395 loss: 2.5823 loss_prob: 1.6279 loss_thr: 0.6861 loss_db: 0.2682 2022/11/02 13:51:40 - mmengine - INFO - Epoch(train) [151][60/63] lr: 1.9179e-03 eta: 11:42:23 time: 0.5418 data_time: 0.0127 memory: 16395 loss: 2.5194 loss_prob: 1.5836 loss_thr: 0.6734 loss_db: 0.2624 2022/11/02 13:51:41 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:51:46 - mmengine - INFO - Epoch(train) [152][5/63] lr: 1.9163e-03 eta: 11:42:23 time: 0.7530 data_time: 0.2220 memory: 16395 loss: 2.3814 loss_prob: 1.4479 loss_thr: 0.6958 loss_db: 0.2377 2022/11/02 13:51:49 - mmengine - INFO - Epoch(train) [152][10/63] lr: 1.9163e-03 eta: 11:42:11 time: 0.7683 data_time: 0.2218 memory: 16395 loss: 2.3869 loss_prob: 1.4648 loss_thr: 0.6851 loss_db: 0.2370 2022/11/02 13:51:52 - mmengine - INFO - Epoch(train) [152][15/63] lr: 1.9163e-03 eta: 11:42:11 time: 0.5208 data_time: 0.0049 memory: 16395 loss: 2.7059 loss_prob: 1.7026 loss_thr: 0.7204 loss_db: 0.2829 2022/11/02 13:51:54 - mmengine - INFO - Epoch(train) [152][20/63] lr: 1.9163e-03 eta: 11:41:56 time: 0.5200 data_time: 0.0046 memory: 16395 loss: 2.6783 loss_prob: 1.6874 loss_thr: 0.7128 loss_db: 0.2781 2022/11/02 13:51:57 - mmengine - INFO - Epoch(train) [152][25/63] lr: 1.9163e-03 eta: 11:41:56 time: 0.5167 data_time: 0.0324 memory: 16395 loss: 2.4603 loss_prob: 1.5236 loss_thr: 0.6909 loss_db: 0.2458 2022/11/02 13:51:59 - mmengine - INFO - Epoch(train) [152][30/63] lr: 1.9163e-03 eta: 11:41:41 time: 0.5024 data_time: 0.0328 memory: 16395 loss: 2.4462 loss_prob: 1.5062 loss_thr: 0.6940 loss_db: 0.2459 2022/11/02 13:52:02 - mmengine - INFO - Epoch(train) [152][35/63] lr: 1.9163e-03 eta: 11:41:41 time: 0.4946 data_time: 0.0057 memory: 16395 loss: 2.5738 loss_prob: 1.5923 loss_thr: 0.7180 loss_db: 0.2635 2022/11/02 13:52:04 - mmengine - INFO - Epoch(train) [152][40/63] lr: 1.9163e-03 eta: 11:41:27 time: 0.5280 data_time: 0.0054 memory: 16395 loss: 2.6808 loss_prob: 1.6798 loss_thr: 0.7224 loss_db: 0.2786 2022/11/02 13:52:07 - mmengine - INFO - Epoch(train) [152][45/63] lr: 1.9163e-03 eta: 11:41:27 time: 0.5385 data_time: 0.0051 memory: 16395 loss: 2.4885 loss_prob: 1.5406 loss_thr: 0.6984 loss_db: 0.2496 2022/11/02 13:52:10 - mmengine - INFO - Epoch(train) [152][50/63] lr: 1.9163e-03 eta: 11:41:16 time: 0.5760 data_time: 0.0286 memory: 16395 loss: 2.3573 loss_prob: 1.4239 loss_thr: 0.7076 loss_db: 0.2258 2022/11/02 13:52:14 - mmengine - INFO - Epoch(train) [152][55/63] lr: 1.9163e-03 eta: 11:41:16 time: 0.6536 data_time: 0.0281 memory: 16395 loss: 2.4112 loss_prob: 1.4654 loss_thr: 0.7085 loss_db: 0.2373 2022/11/02 13:52:17 - mmengine - INFO - Epoch(train) [152][60/63] lr: 1.9163e-03 eta: 11:41:12 time: 0.6656 data_time: 0.0056 memory: 16395 loss: 2.3484 loss_prob: 1.4337 loss_thr: 0.6839 loss_db: 0.2307 2022/11/02 13:52:18 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:52:25 - mmengine - INFO - Epoch(train) [153][5/63] lr: 1.9146e-03 eta: 11:41:12 time: 0.9166 data_time: 0.3050 memory: 16395 loss: 2.4450 loss_prob: 1.5154 loss_thr: 0.6833 loss_db: 0.2463 2022/11/02 13:52:28 - mmengine - INFO - Epoch(train) [153][10/63] lr: 1.9146e-03 eta: 11:41:13 time: 0.9680 data_time: 0.3055 memory: 16395 loss: 2.4993 loss_prob: 1.5509 loss_thr: 0.6945 loss_db: 0.2539 2022/11/02 13:52:32 - mmengine - INFO - Epoch(train) [153][15/63] lr: 1.9146e-03 eta: 11:41:13 time: 0.6645 data_time: 0.0053 memory: 16395 loss: 2.5580 loss_prob: 1.5935 loss_thr: 0.6981 loss_db: 0.2665 2022/11/02 13:52:35 - mmengine - INFO - Epoch(train) [153][20/63] lr: 1.9146e-03 eta: 11:41:08 time: 0.6528 data_time: 0.0046 memory: 16395 loss: 2.5972 loss_prob: 1.6056 loss_thr: 0.7215 loss_db: 0.2701 2022/11/02 13:52:38 - mmengine - INFO - Epoch(train) [153][25/63] lr: 1.9146e-03 eta: 11:41:08 time: 0.6647 data_time: 0.0380 memory: 16395 loss: 2.6576 loss_prob: 1.6507 loss_thr: 0.7325 loss_db: 0.2744 2022/11/02 13:52:42 - mmengine - INFO - Epoch(train) [153][30/63] lr: 1.9146e-03 eta: 11:41:09 time: 0.7468 data_time: 0.0380 memory: 16395 loss: 2.7009 loss_prob: 1.7103 loss_thr: 0.7093 loss_db: 0.2813 2022/11/02 13:52:45 - mmengine - INFO - Epoch(train) [153][35/63] lr: 1.9146e-03 eta: 11:41:09 time: 0.6436 data_time: 0.0044 memory: 16395 loss: 2.6305 loss_prob: 1.6608 loss_thr: 0.6988 loss_db: 0.2710 2022/11/02 13:52:49 - mmengine - INFO - Epoch(train) [153][40/63] lr: 1.9146e-03 eta: 11:41:04 time: 0.6612 data_time: 0.0047 memory: 16395 loss: 2.3870 loss_prob: 1.4732 loss_thr: 0.6780 loss_db: 0.2358 2022/11/02 13:52:52 - mmengine - INFO - Epoch(train) [153][45/63] lr: 1.9146e-03 eta: 11:41:04 time: 0.7415 data_time: 0.0051 memory: 16395 loss: 2.3965 loss_prob: 1.4800 loss_thr: 0.6746 loss_db: 0.2419 2022/11/02 13:52:56 - mmengine - INFO - Epoch(train) [153][50/63] lr: 1.9146e-03 eta: 11:41:02 time: 0.7064 data_time: 0.0234 memory: 16395 loss: 2.8003 loss_prob: 1.7964 loss_thr: 0.7063 loss_db: 0.2976 2022/11/02 13:52:58 - mmengine - INFO - Epoch(train) [153][55/63] lr: 1.9146e-03 eta: 11:41:02 time: 0.6409 data_time: 0.0237 memory: 16395 loss: 2.8318 loss_prob: 1.8174 loss_thr: 0.7169 loss_db: 0.2974 2022/11/02 13:53:01 - mmengine - INFO - Epoch(train) [153][60/63] lr: 1.9146e-03 eta: 11:40:52 time: 0.5777 data_time: 0.0072 memory: 16395 loss: 2.6065 loss_prob: 1.6352 loss_thr: 0.6974 loss_db: 0.2739 2022/11/02 13:53:03 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:53:08 - mmengine - INFO - Epoch(train) [154][5/63] lr: 1.9130e-03 eta: 11:40:52 time: 0.7737 data_time: 0.2052 memory: 16395 loss: 2.5743 loss_prob: 1.6270 loss_thr: 0.6812 loss_db: 0.2661 2022/11/02 13:53:11 - mmengine - INFO - Epoch(train) [154][10/63] lr: 1.9130e-03 eta: 11:40:39 time: 0.7627 data_time: 0.2129 memory: 16395 loss: 2.5166 loss_prob: 1.5706 loss_thr: 0.6895 loss_db: 0.2566 2022/11/02 13:53:13 - mmengine - INFO - Epoch(train) [154][15/63] lr: 1.9130e-03 eta: 11:40:39 time: 0.5283 data_time: 0.0138 memory: 16395 loss: 2.4238 loss_prob: 1.4998 loss_thr: 0.6773 loss_db: 0.2467 2022/11/02 13:53:16 - mmengine - INFO - Epoch(train) [154][20/63] lr: 1.9130e-03 eta: 11:40:23 time: 0.5012 data_time: 0.0049 memory: 16395 loss: 2.3811 loss_prob: 1.4722 loss_thr: 0.6732 loss_db: 0.2357 2022/11/02 13:53:18 - mmengine - INFO - Epoch(train) [154][25/63] lr: 1.9130e-03 eta: 11:40:23 time: 0.5109 data_time: 0.0105 memory: 16395 loss: 2.5608 loss_prob: 1.6119 loss_thr: 0.6871 loss_db: 0.2618 2022/11/02 13:53:21 - mmengine - INFO - Epoch(train) [154][30/63] lr: 1.9130e-03 eta: 11:40:11 time: 0.5477 data_time: 0.0329 memory: 16395 loss: 2.7370 loss_prob: 1.7341 loss_thr: 0.7147 loss_db: 0.2882 2022/11/02 13:53:24 - mmengine - INFO - Epoch(train) [154][35/63] lr: 1.9130e-03 eta: 11:40:11 time: 0.5443 data_time: 0.0273 memory: 16395 loss: 2.7977 loss_prob: 1.7620 loss_thr: 0.7395 loss_db: 0.2962 2022/11/02 13:53:26 - mmengine - INFO - Epoch(train) [154][40/63] lr: 1.9130e-03 eta: 11:39:57 time: 0.5329 data_time: 0.0047 memory: 16395 loss: 3.0337 loss_prob: 1.9250 loss_thr: 0.7682 loss_db: 0.3405 2022/11/02 13:53:29 - mmengine - INFO - Epoch(train) [154][45/63] lr: 1.9130e-03 eta: 11:39:57 time: 0.5350 data_time: 0.0053 memory: 16395 loss: 2.8842 loss_prob: 1.8202 loss_thr: 0.7505 loss_db: 0.3134 2022/11/02 13:53:32 - mmengine - INFO - Epoch(train) [154][50/63] lr: 1.9130e-03 eta: 11:39:45 time: 0.5404 data_time: 0.0194 memory: 16395 loss: 2.6994 loss_prob: 1.7177 loss_thr: 0.7057 loss_db: 0.2760 2022/11/02 13:53:35 - mmengine - INFO - Epoch(train) [154][55/63] lr: 1.9130e-03 eta: 11:39:45 time: 0.5482 data_time: 0.0281 memory: 16395 loss: 2.6702 loss_prob: 1.7118 loss_thr: 0.6780 loss_db: 0.2804 2022/11/02 13:53:37 - mmengine - INFO - Epoch(train) [154][60/63] lr: 1.9130e-03 eta: 11:39:31 time: 0.5352 data_time: 0.0142 memory: 16395 loss: 2.5346 loss_prob: 1.5844 loss_thr: 0.6924 loss_db: 0.2578 2022/11/02 13:53:39 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:53:43 - mmengine - INFO - Epoch(train) [155][5/63] lr: 1.9113e-03 eta: 11:39:31 time: 0.7146 data_time: 0.1974 memory: 16395 loss: 2.6445 loss_prob: 1.6633 loss_thr: 0.7022 loss_db: 0.2790 2022/11/02 13:53:46 - mmengine - INFO - Epoch(train) [155][10/63] lr: 1.9113e-03 eta: 11:39:16 time: 0.7216 data_time: 0.1976 memory: 16395 loss: 2.6751 loss_prob: 1.6736 loss_thr: 0.7205 loss_db: 0.2810 2022/11/02 13:53:48 - mmengine - INFO - Epoch(train) [155][15/63] lr: 1.9113e-03 eta: 11:39:16 time: 0.4946 data_time: 0.0062 memory: 16395 loss: 2.5996 loss_prob: 1.6286 loss_thr: 0.7050 loss_db: 0.2660 2022/11/02 13:53:51 - mmengine - INFO - Epoch(train) [155][20/63] lr: 1.9113e-03 eta: 11:39:02 time: 0.5335 data_time: 0.0058 memory: 16395 loss: 2.6672 loss_prob: 1.6814 loss_thr: 0.7080 loss_db: 0.2777 2022/11/02 13:53:54 - mmengine - INFO - Epoch(train) [155][25/63] lr: 1.9113e-03 eta: 11:39:02 time: 0.5553 data_time: 0.0181 memory: 16395 loss: 2.6625 loss_prob: 1.6621 loss_thr: 0.7202 loss_db: 0.2803 2022/11/02 13:53:57 - mmengine - INFO - Epoch(train) [155][30/63] lr: 1.9113e-03 eta: 11:38:51 time: 0.5654 data_time: 0.0385 memory: 16395 loss: 2.6961 loss_prob: 1.6859 loss_thr: 0.7178 loss_db: 0.2925 2022/11/02 13:53:59 - mmengine - INFO - Epoch(train) [155][35/63] lr: 1.9113e-03 eta: 11:38:51 time: 0.5480 data_time: 0.0248 memory: 16395 loss: 2.7177 loss_prob: 1.7190 loss_thr: 0.7094 loss_db: 0.2893 2022/11/02 13:54:02 - mmengine - INFO - Epoch(train) [155][40/63] lr: 1.9113e-03 eta: 11:38:36 time: 0.5013 data_time: 0.0044 memory: 16395 loss: 2.6533 loss_prob: 1.6684 loss_thr: 0.7139 loss_db: 0.2710 2022/11/02 13:54:05 - mmengine - INFO - Epoch(train) [155][45/63] lr: 1.9113e-03 eta: 11:38:36 time: 0.5984 data_time: 0.0049 memory: 16395 loss: 2.6689 loss_prob: 1.6645 loss_thr: 0.7277 loss_db: 0.2768 2022/11/02 13:54:08 - mmengine - INFO - Epoch(train) [155][50/63] lr: 1.9113e-03 eta: 11:38:28 time: 0.6137 data_time: 0.0172 memory: 16395 loss: 2.7291 loss_prob: 1.7226 loss_thr: 0.7213 loss_db: 0.2852 2022/11/02 13:54:11 - mmengine - INFO - Epoch(train) [155][55/63] lr: 1.9113e-03 eta: 11:38:28 time: 0.5512 data_time: 0.0224 memory: 16395 loss: 2.7769 loss_prob: 1.7665 loss_thr: 0.7181 loss_db: 0.2923 2022/11/02 13:54:13 - mmengine - INFO - Epoch(train) [155][60/63] lr: 1.9113e-03 eta: 11:38:15 time: 0.5458 data_time: 0.0124 memory: 16395 loss: 2.6299 loss_prob: 1.6574 loss_thr: 0.6967 loss_db: 0.2758 2022/11/02 13:54:15 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:54:19 - mmengine - INFO - Epoch(train) [156][5/63] lr: 1.9097e-03 eta: 11:38:15 time: 0.7179 data_time: 0.1887 memory: 16395 loss: 2.5098 loss_prob: 1.5525 loss_thr: 0.7024 loss_db: 0.2549 2022/11/02 13:54:22 - mmengine - INFO - Epoch(train) [156][10/63] lr: 1.9097e-03 eta: 11:38:03 time: 0.7651 data_time: 0.1887 memory: 16395 loss: 2.5200 loss_prob: 1.5601 loss_thr: 0.7049 loss_db: 0.2551 2022/11/02 13:54:25 - mmengine - INFO - Epoch(train) [156][15/63] lr: 1.9097e-03 eta: 11:38:03 time: 0.5610 data_time: 0.0053 memory: 16395 loss: 2.4944 loss_prob: 1.5478 loss_thr: 0.6935 loss_db: 0.2531 2022/11/02 13:54:28 - mmengine - INFO - Epoch(train) [156][20/63] lr: 1.9097e-03 eta: 11:37:50 time: 0.5329 data_time: 0.0048 memory: 16395 loss: 2.6102 loss_prob: 1.6208 loss_thr: 0.7162 loss_db: 0.2732 2022/11/02 13:54:30 - mmengine - INFO - Epoch(train) [156][25/63] lr: 1.9097e-03 eta: 11:37:50 time: 0.5397 data_time: 0.0124 memory: 16395 loss: 2.6468 loss_prob: 1.6533 loss_thr: 0.7104 loss_db: 0.2831 2022/11/02 13:54:34 - mmengine - INFO - Epoch(train) [156][30/63] lr: 1.9097e-03 eta: 11:37:41 time: 0.5973 data_time: 0.0302 memory: 16395 loss: 2.4589 loss_prob: 1.5130 loss_thr: 0.7001 loss_db: 0.2458 2022/11/02 13:54:36 - mmengine - INFO - Epoch(train) [156][35/63] lr: 1.9097e-03 eta: 11:37:41 time: 0.5849 data_time: 0.0231 memory: 16395 loss: 2.5094 loss_prob: 1.5405 loss_thr: 0.7232 loss_db: 0.2457 2022/11/02 13:54:40 - mmengine - INFO - Epoch(train) [156][40/63] lr: 1.9097e-03 eta: 11:37:37 time: 0.6815 data_time: 0.0072 memory: 16395 loss: 2.5598 loss_prob: 1.5766 loss_thr: 0.7234 loss_db: 0.2598 2022/11/02 13:54:44 - mmengine - INFO - Epoch(train) [156][45/63] lr: 1.9097e-03 eta: 11:37:37 time: 0.7486 data_time: 0.0065 memory: 16395 loss: 2.4286 loss_prob: 1.4923 loss_thr: 0.6898 loss_db: 0.2465 2022/11/02 13:54:47 - mmengine - INFO - Epoch(train) [156][50/63] lr: 1.9097e-03 eta: 11:37:35 time: 0.6950 data_time: 0.0218 memory: 16395 loss: 2.5840 loss_prob: 1.6152 loss_thr: 0.6953 loss_db: 0.2734 2022/11/02 13:54:50 - mmengine - INFO - Epoch(train) [156][55/63] lr: 1.9097e-03 eta: 11:37:35 time: 0.6433 data_time: 0.0231 memory: 16395 loss: 2.7855 loss_prob: 1.7514 loss_thr: 0.7285 loss_db: 0.3056 2022/11/02 13:54:53 - mmengine - INFO - Epoch(train) [156][60/63] lr: 1.9097e-03 eta: 11:37:24 time: 0.5671 data_time: 0.0061 memory: 16395 loss: 2.7420 loss_prob: 1.7187 loss_thr: 0.7296 loss_db: 0.2936 2022/11/02 13:54:54 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:55:00 - mmengine - INFO - Epoch(train) [157][5/63] lr: 1.9080e-03 eta: 11:37:24 time: 0.7971 data_time: 0.2236 memory: 16395 loss: 2.5272 loss_prob: 1.5683 loss_thr: 0.7040 loss_db: 0.2549 2022/11/02 13:55:03 - mmengine - INFO - Epoch(train) [157][10/63] lr: 1.9080e-03 eta: 11:37:16 time: 0.8390 data_time: 0.2233 memory: 16395 loss: 2.6262 loss_prob: 1.6400 loss_thr: 0.7147 loss_db: 0.2715 2022/11/02 13:55:06 - mmengine - INFO - Epoch(train) [157][15/63] lr: 1.9080e-03 eta: 11:37:16 time: 0.5975 data_time: 0.0053 memory: 16395 loss: 2.5065 loss_prob: 1.5603 loss_thr: 0.6880 loss_db: 0.2582 2022/11/02 13:55:09 - mmengine - INFO - Epoch(train) [157][20/63] lr: 1.9080e-03 eta: 11:37:11 time: 0.6492 data_time: 0.0043 memory: 16395 loss: 2.4669 loss_prob: 1.5388 loss_thr: 0.6817 loss_db: 0.2463 2022/11/02 13:55:12 - mmengine - INFO - Epoch(train) [157][25/63] lr: 1.9080e-03 eta: 11:37:11 time: 0.6227 data_time: 0.0141 memory: 16395 loss: 2.4553 loss_prob: 1.5249 loss_thr: 0.6882 loss_db: 0.2422 2022/11/02 13:55:15 - mmengine - INFO - Epoch(train) [157][30/63] lr: 1.9080e-03 eta: 11:37:04 time: 0.6213 data_time: 0.0331 memory: 16395 loss: 2.3671 loss_prob: 1.4527 loss_thr: 0.6795 loss_db: 0.2349 2022/11/02 13:55:19 - mmengine - INFO - Epoch(train) [157][35/63] lr: 1.9080e-03 eta: 11:37:04 time: 0.6610 data_time: 0.0254 memory: 16395 loss: 2.7802 loss_prob: 1.7518 loss_thr: 0.7328 loss_db: 0.2956 2022/11/02 13:55:23 - mmengine - INFO - Epoch(train) [157][40/63] lr: 1.9080e-03 eta: 11:37:05 time: 0.7504 data_time: 0.0071 memory: 16395 loss: 2.8319 loss_prob: 1.8060 loss_thr: 0.7134 loss_db: 0.3125 2022/11/02 13:55:26 - mmengine - INFO - Epoch(train) [157][45/63] lr: 1.9080e-03 eta: 11:37:05 time: 0.6925 data_time: 0.0051 memory: 16395 loss: 2.7266 loss_prob: 1.7156 loss_thr: 0.7117 loss_db: 0.2994 2022/11/02 13:55:29 - mmengine - INFO - Epoch(train) [157][50/63] lr: 1.9080e-03 eta: 11:36:59 time: 0.6497 data_time: 0.0208 memory: 16395 loss: 2.6455 loss_prob: 1.6533 loss_thr: 0.7124 loss_db: 0.2799 2022/11/02 13:55:32 - mmengine - INFO - Epoch(train) [157][55/63] lr: 1.9080e-03 eta: 11:36:59 time: 0.6705 data_time: 0.0274 memory: 16395 loss: 2.4546 loss_prob: 1.5239 loss_thr: 0.6834 loss_db: 0.2473 2022/11/02 13:55:35 - mmengine - INFO - Epoch(train) [157][60/63] lr: 1.9080e-03 eta: 11:36:47 time: 0.5429 data_time: 0.0109 memory: 16395 loss: 2.5078 loss_prob: 1.5419 loss_thr: 0.7172 loss_db: 0.2488 2022/11/02 13:55:36 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:55:41 - mmengine - INFO - Epoch(train) [158][5/63] lr: 1.9064e-03 eta: 11:36:47 time: 0.7521 data_time: 0.2193 memory: 16395 loss: 2.8258 loss_prob: 1.7708 loss_thr: 0.7635 loss_db: 0.2915 2022/11/02 13:55:44 - mmengine - INFO - Epoch(train) [158][10/63] lr: 1.9064e-03 eta: 11:36:36 time: 0.7840 data_time: 0.2185 memory: 16395 loss: 2.6626 loss_prob: 1.6767 loss_thr: 0.7132 loss_db: 0.2727 2022/11/02 13:55:47 - mmengine - INFO - Epoch(train) [158][15/63] lr: 1.9064e-03 eta: 11:36:36 time: 0.5899 data_time: 0.0059 memory: 16395 loss: 2.5254 loss_prob: 1.5699 loss_thr: 0.7000 loss_db: 0.2555 2022/11/02 13:55:50 - mmengine - INFO - Epoch(train) [158][20/63] lr: 1.9064e-03 eta: 11:36:25 time: 0.5736 data_time: 0.0072 memory: 16395 loss: 2.5525 loss_prob: 1.5771 loss_thr: 0.7152 loss_db: 0.2602 2022/11/02 13:55:53 - mmengine - INFO - Epoch(train) [158][25/63] lr: 1.9064e-03 eta: 11:36:25 time: 0.5387 data_time: 0.0100 memory: 16395 loss: 2.5331 loss_prob: 1.5685 loss_thr: 0.7095 loss_db: 0.2551 2022/11/02 13:55:56 - mmengine - INFO - Epoch(train) [158][30/63] lr: 1.9064e-03 eta: 11:36:16 time: 0.5875 data_time: 0.0386 memory: 16395 loss: 2.5164 loss_prob: 1.5829 loss_thr: 0.6806 loss_db: 0.2528 2022/11/02 13:55:59 - mmengine - INFO - Epoch(train) [158][35/63] lr: 1.9064e-03 eta: 11:36:16 time: 0.5964 data_time: 0.0355 memory: 16395 loss: 2.5432 loss_prob: 1.6012 loss_thr: 0.6820 loss_db: 0.2600 2022/11/02 13:56:01 - mmengine - INFO - Epoch(train) [158][40/63] lr: 1.9064e-03 eta: 11:36:03 time: 0.5428 data_time: 0.0072 memory: 16395 loss: 2.6888 loss_prob: 1.6789 loss_thr: 0.7290 loss_db: 0.2809 2022/11/02 13:56:04 - mmengine - INFO - Epoch(train) [158][45/63] lr: 1.9064e-03 eta: 11:36:03 time: 0.5370 data_time: 0.0072 memory: 16395 loss: 2.7239 loss_prob: 1.7021 loss_thr: 0.7336 loss_db: 0.2882 2022/11/02 13:56:07 - mmengine - INFO - Epoch(train) [158][50/63] lr: 1.9064e-03 eta: 11:35:51 time: 0.5516 data_time: 0.0210 memory: 16395 loss: 2.5759 loss_prob: 1.5992 loss_thr: 0.7080 loss_db: 0.2688 2022/11/02 13:56:09 - mmengine - INFO - Epoch(train) [158][55/63] lr: 1.9064e-03 eta: 11:35:51 time: 0.5391 data_time: 0.0202 memory: 16395 loss: 2.5173 loss_prob: 1.5584 loss_thr: 0.6957 loss_db: 0.2632 2022/11/02 13:56:12 - mmengine - INFO - Epoch(train) [158][60/63] lr: 1.9064e-03 eta: 11:35:37 time: 0.5267 data_time: 0.0061 memory: 16395 loss: 2.4968 loss_prob: 1.5501 loss_thr: 0.6850 loss_db: 0.2618 2022/11/02 13:56:13 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:56:18 - mmengine - INFO - Epoch(train) [159][5/63] lr: 1.9048e-03 eta: 11:35:37 time: 0.7057 data_time: 0.1845 memory: 16395 loss: 2.4135 loss_prob: 1.4731 loss_thr: 0.6961 loss_db: 0.2443 2022/11/02 13:56:21 - mmengine - INFO - Epoch(train) [159][10/63] lr: 1.9048e-03 eta: 11:35:27 time: 0.7934 data_time: 0.1835 memory: 16395 loss: 2.3386 loss_prob: 1.4295 loss_thr: 0.6777 loss_db: 0.2314 2022/11/02 13:56:24 - mmengine - INFO - Epoch(train) [159][15/63] lr: 1.9048e-03 eta: 11:35:27 time: 0.6091 data_time: 0.0054 memory: 16395 loss: 2.4889 loss_prob: 1.5465 loss_thr: 0.6861 loss_db: 0.2563 2022/11/02 13:56:27 - mmengine - INFO - Epoch(train) [159][20/63] lr: 1.9048e-03 eta: 11:35:16 time: 0.5569 data_time: 0.0079 memory: 16395 loss: 2.6789 loss_prob: 1.6874 loss_thr: 0.6956 loss_db: 0.2959 2022/11/02 13:56:30 - mmengine - INFO - Epoch(train) [159][25/63] lr: 1.9048e-03 eta: 11:35:16 time: 0.5596 data_time: 0.0134 memory: 16395 loss: 2.7453 loss_prob: 1.7324 loss_thr: 0.7143 loss_db: 0.2986 2022/11/02 13:56:33 - mmengine - INFO - Epoch(train) [159][30/63] lr: 1.9048e-03 eta: 11:35:07 time: 0.6080 data_time: 0.0471 memory: 16395 loss: 2.7181 loss_prob: 1.7040 loss_thr: 0.7345 loss_db: 0.2796 2022/11/02 13:56:36 - mmengine - INFO - Epoch(train) [159][35/63] lr: 1.9048e-03 eta: 11:35:07 time: 0.5996 data_time: 0.0411 memory: 16395 loss: 2.7444 loss_prob: 1.7324 loss_thr: 0.7218 loss_db: 0.2902 2022/11/02 13:56:39 - mmengine - INFO - Epoch(train) [159][40/63] lr: 1.9048e-03 eta: 11:34:58 time: 0.5915 data_time: 0.0051 memory: 16395 loss: 2.6538 loss_prob: 1.6760 loss_thr: 0.6953 loss_db: 0.2825 2022/11/02 13:56:42 - mmengine - INFO - Epoch(train) [159][45/63] lr: 1.9048e-03 eta: 11:34:58 time: 0.5888 data_time: 0.0063 memory: 16395 loss: 2.5149 loss_prob: 1.5668 loss_thr: 0.6914 loss_db: 0.2567 2022/11/02 13:56:42 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:56:44 - mmengine - INFO - Epoch(train) [159][50/63] lr: 1.9048e-03 eta: 11:34:46 time: 0.5534 data_time: 0.0190 memory: 16395 loss: 2.6010 loss_prob: 1.6337 loss_thr: 0.6976 loss_db: 0.2698 2022/11/02 13:56:47 - mmengine - INFO - Epoch(train) [159][55/63] lr: 1.9048e-03 eta: 11:34:46 time: 0.5308 data_time: 0.0223 memory: 16395 loss: 2.5113 loss_prob: 1.5714 loss_thr: 0.6806 loss_db: 0.2592 2022/11/02 13:56:50 - mmengine - INFO - Epoch(train) [159][60/63] lr: 1.9048e-03 eta: 11:34:33 time: 0.5283 data_time: 0.0091 memory: 16395 loss: 2.3456 loss_prob: 1.4348 loss_thr: 0.6794 loss_db: 0.2315 2022/11/02 13:56:51 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:56:56 - mmengine - INFO - Epoch(train) [160][5/63] lr: 1.9031e-03 eta: 11:34:33 time: 0.7348 data_time: 0.2069 memory: 16395 loss: 2.4970 loss_prob: 1.5338 loss_thr: 0.7103 loss_db: 0.2529 2022/11/02 13:56:58 - mmengine - INFO - Epoch(train) [160][10/63] lr: 1.9031e-03 eta: 11:34:19 time: 0.7359 data_time: 0.2055 memory: 16395 loss: 2.4987 loss_prob: 1.5395 loss_thr: 0.7039 loss_db: 0.2553 2022/11/02 13:57:01 - mmengine - INFO - Epoch(train) [160][15/63] lr: 1.9031e-03 eta: 11:34:19 time: 0.5637 data_time: 0.0045 memory: 16395 loss: 2.5077 loss_prob: 1.5557 loss_thr: 0.7000 loss_db: 0.2520 2022/11/02 13:57:04 - mmengine - INFO - Epoch(train) [160][20/63] lr: 1.9031e-03 eta: 11:34:09 time: 0.5827 data_time: 0.0057 memory: 16395 loss: 2.5736 loss_prob: 1.5851 loss_thr: 0.7331 loss_db: 0.2554 2022/11/02 13:57:07 - mmengine - INFO - Epoch(train) [160][25/63] lr: 1.9031e-03 eta: 11:34:09 time: 0.5723 data_time: 0.0217 memory: 16395 loss: 2.4367 loss_prob: 1.4857 loss_thr: 0.7085 loss_db: 0.2426 2022/11/02 13:57:10 - mmengine - INFO - Epoch(train) [160][30/63] lr: 1.9031e-03 eta: 11:33:57 time: 0.5488 data_time: 0.0368 memory: 16395 loss: 2.4238 loss_prob: 1.4721 loss_thr: 0.7090 loss_db: 0.2427 2022/11/02 13:57:13 - mmengine - INFO - Epoch(train) [160][35/63] lr: 1.9031e-03 eta: 11:33:57 time: 0.5575 data_time: 0.0207 memory: 16395 loss: 2.4797 loss_prob: 1.5131 loss_thr: 0.7190 loss_db: 0.2475 2022/11/02 13:57:15 - mmengine - INFO - Epoch(train) [160][40/63] lr: 1.9031e-03 eta: 11:33:45 time: 0.5520 data_time: 0.0064 memory: 16395 loss: 2.4718 loss_prob: 1.5227 loss_thr: 0.7003 loss_db: 0.2487 2022/11/02 13:57:18 - mmengine - INFO - Epoch(train) [160][45/63] lr: 1.9031e-03 eta: 11:33:45 time: 0.5617 data_time: 0.0061 memory: 16395 loss: 2.6057 loss_prob: 1.6244 loss_thr: 0.7164 loss_db: 0.2649 2022/11/02 13:57:22 - mmengine - INFO - Epoch(train) [160][50/63] lr: 1.9031e-03 eta: 11:33:40 time: 0.6464 data_time: 0.0200 memory: 16395 loss: 2.6630 loss_prob: 1.6681 loss_thr: 0.7224 loss_db: 0.2726 2022/11/02 13:57:25 - mmengine - INFO - Epoch(train) [160][55/63] lr: 1.9031e-03 eta: 11:33:40 time: 0.6660 data_time: 0.0215 memory: 16395 loss: 2.4864 loss_prob: 1.5318 loss_thr: 0.7037 loss_db: 0.2509 2022/11/02 13:57:29 - mmengine - INFO - Epoch(train) [160][60/63] lr: 1.9031e-03 eta: 11:33:37 time: 0.6923 data_time: 0.0062 memory: 16395 loss: 2.3142 loss_prob: 1.4057 loss_thr: 0.6824 loss_db: 0.2261 2022/11/02 13:57:30 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:57:30 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/11/02 13:57:34 - mmengine - INFO - Epoch(val) [160][5/500] eta: 11:33:37 time: 0.0474 data_time: 0.0049 memory: 16395 2022/11/02 13:57:34 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:00:23 time: 0.0472 data_time: 0.0048 memory: 1013 2022/11/02 13:57:34 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:00:23 time: 0.0420 data_time: 0.0022 memory: 1013 2022/11/02 13:57:35 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:00:20 time: 0.0427 data_time: 0.0025 memory: 1013 2022/11/02 13:57:35 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:00:20 time: 0.0424 data_time: 0.0024 memory: 1013 2022/11/02 13:57:35 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:00:20 time: 0.0444 data_time: 0.0021 memory: 1013 2022/11/02 13:57:35 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:00:20 time: 0.0465 data_time: 0.0027 memory: 1013 2022/11/02 13:57:36 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:00:22 time: 0.0492 data_time: 0.0028 memory: 1013 2022/11/02 13:57:36 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:00:22 time: 0.0502 data_time: 0.0023 memory: 1013 2022/11/02 13:57:36 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:00:21 time: 0.0487 data_time: 0.0023 memory: 1013 2022/11/02 13:57:36 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:00:21 time: 0.0479 data_time: 0.0022 memory: 1013 2022/11/02 13:57:36 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:00:19 time: 0.0433 data_time: 0.0023 memory: 1013 2022/11/02 13:57:37 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:00:19 time: 0.0454 data_time: 0.0024 memory: 1013 2022/11/02 13:57:37 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:00:21 time: 0.0499 data_time: 0.0025 memory: 1013 2022/11/02 13:57:37 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:00:21 time: 0.0472 data_time: 0.0025 memory: 1013 2022/11/02 13:57:37 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:00:18 time: 0.0437 data_time: 0.0025 memory: 1013 2022/11/02 13:57:38 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:00:18 time: 0.0429 data_time: 0.0024 memory: 1013 2022/11/02 13:57:38 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:00:20 time: 0.0488 data_time: 0.0028 memory: 1013 2022/11/02 13:57:38 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:00:20 time: 0.0510 data_time: 0.0028 memory: 1013 2022/11/02 13:57:38 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:00:18 time: 0.0463 data_time: 0.0027 memory: 1013 2022/11/02 13:57:39 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:00:18 time: 0.0476 data_time: 0.0042 memory: 1013 2022/11/02 13:57:39 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:00:18 time: 0.0463 data_time: 0.0041 memory: 1013 2022/11/02 13:57:39 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:00:18 time: 0.0476 data_time: 0.0032 memory: 1013 2022/11/02 13:57:39 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:00:21 time: 0.0553 data_time: 0.0045 memory: 1013 2022/11/02 13:57:40 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:00:21 time: 0.0544 data_time: 0.0045 memory: 1013 2022/11/02 13:57:40 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:00:19 time: 0.0519 data_time: 0.0034 memory: 1013 2022/11/02 13:57:40 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:00:19 time: 0.0500 data_time: 0.0036 memory: 1013 2022/11/02 13:57:40 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:00:18 time: 0.0502 data_time: 0.0033 memory: 1013 2022/11/02 13:57:41 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:00:18 time: 0.0578 data_time: 0.0038 memory: 1013 2022/11/02 13:57:41 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:00:19 time: 0.0544 data_time: 0.0040 memory: 1013 2022/11/02 13:57:41 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:00:19 time: 0.0516 data_time: 0.0033 memory: 1013 2022/11/02 13:57:41 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:00:18 time: 0.0555 data_time: 0.0034 memory: 1013 2022/11/02 13:57:42 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:00:18 time: 0.0500 data_time: 0.0033 memory: 1013 2022/11/02 13:57:42 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:00:15 time: 0.0470 data_time: 0.0028 memory: 1013 2022/11/02 13:57:42 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:00:15 time: 0.0435 data_time: 0.0025 memory: 1013 2022/11/02 13:57:42 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:14 time: 0.0456 data_time: 0.0035 memory: 1013 2022/11/02 13:57:43 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:14 time: 0.0514 data_time: 0.0037 memory: 1013 2022/11/02 13:57:43 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:00:16 time: 0.0523 data_time: 0.0029 memory: 1013 2022/11/02 13:57:43 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:00:16 time: 0.0493 data_time: 0.0029 memory: 1013 2022/11/02 13:57:43 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:00:14 time: 0.0487 data_time: 0.0026 memory: 1013 2022/11/02 13:57:44 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:00:14 time: 0.0489 data_time: 0.0025 memory: 1013 2022/11/02 13:57:44 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:00:13 time: 0.0450 data_time: 0.0029 memory: 1013 2022/11/02 13:57:44 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:00:13 time: 0.0457 data_time: 0.0028 memory: 1013 2022/11/02 13:57:44 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:12 time: 0.0454 data_time: 0.0025 memory: 1013 2022/11/02 13:57:45 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:12 time: 0.0603 data_time: 0.0051 memory: 1013 2022/11/02 13:57:45 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:15 time: 0.0580 data_time: 0.0051 memory: 1013 2022/11/02 13:57:45 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:15 time: 0.0435 data_time: 0.0025 memory: 1013 2022/11/02 13:57:45 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:12 time: 0.0480 data_time: 0.0026 memory: 1013 2022/11/02 13:57:46 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:12 time: 0.0499 data_time: 0.0031 memory: 1013 2022/11/02 13:57:46 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:12 time: 0.0487 data_time: 0.0031 memory: 1013 2022/11/02 13:57:46 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:12 time: 0.0437 data_time: 0.0028 memory: 1013 2022/11/02 13:57:46 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:11 time: 0.0465 data_time: 0.0034 memory: 1013 2022/11/02 13:57:47 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:11 time: 0.0502 data_time: 0.0036 memory: 1013 2022/11/02 13:57:47 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:11 time: 0.0489 data_time: 0.0030 memory: 1013 2022/11/02 13:57:47 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:11 time: 0.0447 data_time: 0.0027 memory: 1013 2022/11/02 13:57:47 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:00:10 time: 0.0476 data_time: 0.0025 memory: 1013 2022/11/02 13:57:48 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:00:10 time: 0.0482 data_time: 0.0028 memory: 1013 2022/11/02 13:57:48 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:09 time: 0.0455 data_time: 0.0027 memory: 1013 2022/11/02 13:57:48 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:09 time: 0.0495 data_time: 0.0028 memory: 1013 2022/11/02 13:57:48 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:00:10 time: 0.0513 data_time: 0.0031 memory: 1013 2022/11/02 13:57:48 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:00:10 time: 0.0470 data_time: 0.0027 memory: 1013 2022/11/02 13:57:49 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:08 time: 0.0423 data_time: 0.0024 memory: 1013 2022/11/02 13:57:49 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:08 time: 0.0470 data_time: 0.0026 memory: 1013 2022/11/02 13:57:49 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:08 time: 0.0485 data_time: 0.0030 memory: 1013 2022/11/02 13:57:50 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:08 time: 0.0623 data_time: 0.0032 memory: 1013 2022/11/02 13:57:50 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:00:10 time: 0.0634 data_time: 0.0030 memory: 1013 2022/11/02 13:57:50 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:00:10 time: 0.0442 data_time: 0.0027 memory: 1013 2022/11/02 13:57:50 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:00:08 time: 0.0532 data_time: 0.0025 memory: 1013 2022/11/02 13:57:51 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:00:08 time: 0.0543 data_time: 0.0023 memory: 1013 2022/11/02 13:57:51 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:07 time: 0.0471 data_time: 0.0026 memory: 1013 2022/11/02 13:57:51 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:07 time: 0.0452 data_time: 0.0025 memory: 1013 2022/11/02 13:57:51 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:05 time: 0.0420 data_time: 0.0023 memory: 1013 2022/11/02 13:57:51 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:05 time: 0.0443 data_time: 0.0024 memory: 1013 2022/11/02 13:57:52 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:05 time: 0.0414 data_time: 0.0025 memory: 1013 2022/11/02 13:57:52 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:05 time: 0.0427 data_time: 0.0026 memory: 1013 2022/11/02 13:57:52 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:05 time: 0.0475 data_time: 0.0025 memory: 1013 2022/11/02 13:57:52 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:05 time: 0.0495 data_time: 0.0036 memory: 1013 2022/11/02 13:57:53 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:05 time: 0.0498 data_time: 0.0037 memory: 1013 2022/11/02 13:57:53 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:05 time: 0.0488 data_time: 0.0028 memory: 1013 2022/11/02 13:57:53 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:04 time: 0.0462 data_time: 0.0027 memory: 1013 2022/11/02 13:57:53 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:04 time: 0.0459 data_time: 0.0027 memory: 1013 2022/11/02 13:57:54 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:04 time: 0.0478 data_time: 0.0029 memory: 1013 2022/11/02 13:57:54 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:04 time: 0.0457 data_time: 0.0026 memory: 1013 2022/11/02 13:57:54 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:05 time: 0.0715 data_time: 0.0321 memory: 1013 2022/11/02 13:57:54 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:05 time: 0.0716 data_time: 0.0318 memory: 1013 2022/11/02 13:57:55 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:02 time: 0.0419 data_time: 0.0023 memory: 1013 2022/11/02 13:57:55 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:02 time: 0.0429 data_time: 0.0026 memory: 1013 2022/11/02 13:57:55 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:02 time: 0.0424 data_time: 0.0024 memory: 1013 2022/11/02 13:57:55 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:02 time: 0.0416 data_time: 0.0023 memory: 1013 2022/11/02 13:57:56 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:02 time: 0.0464 data_time: 0.0039 memory: 1013 2022/11/02 13:57:56 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:02 time: 0.0481 data_time: 0.0038 memory: 1013 2022/11/02 13:57:56 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:01 time: 0.0449 data_time: 0.0023 memory: 1013 2022/11/02 13:57:56 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:01 time: 0.0427 data_time: 0.0024 memory: 1013 2022/11/02 13:57:56 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:01 time: 0.0458 data_time: 0.0027 memory: 1013 2022/11/02 13:57:57 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:01 time: 0.0448 data_time: 0.0027 memory: 1013 2022/11/02 13:57:57 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:00 time: 0.0403 data_time: 0.0026 memory: 1013 2022/11/02 13:57:57 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:00 time: 0.0417 data_time: 0.0026 memory: 1013 2022/11/02 13:57:57 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:00 time: 0.0430 data_time: 0.0022 memory: 1013 2022/11/02 13:57:58 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:00 time: 0.0452 data_time: 0.0022 memory: 1013 2022/11/02 13:57:58 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.0445 data_time: 0.0023 memory: 1013 2022/11/02 13:57:58 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 13:57:58 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7800, precision: 0.5714, hmean: 0.6596 2022/11/02 13:57:58 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7790, precision: 0.6900, hmean: 0.7318 2022/11/02 13:57:58 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7646, precision: 0.7705, hmean: 0.7675 2022/11/02 13:57:58 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7323, precision: 0.8362, hmean: 0.7808 2022/11/02 13:57:58 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6389, precision: 0.9095, hmean: 0.7506 2022/11/02 13:57:58 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.2008, precision: 0.9542, hmean: 0.3317 2022/11/02 13:57:58 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 13:57:58 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.8362 icdar/recall: 0.7323 icdar/hmean: 0.7808 2022/11/02 13:58:04 - mmengine - INFO - Epoch(train) [161][5/63] lr: 1.9015e-03 eta: 0:00:00 time: 0.9264 data_time: 0.1695 memory: 16395 loss: 2.4371 loss_prob: 1.5093 loss_thr: 0.6713 loss_db: 0.2565 2022/11/02 13:58:08 - mmengine - INFO - Epoch(train) [161][10/63] lr: 1.9015e-03 eta: 11:33:40 time: 0.9964 data_time: 0.1897 memory: 16395 loss: 2.3947 loss_prob: 1.4827 loss_thr: 0.6568 loss_db: 0.2552 2022/11/02 13:58:11 - mmengine - INFO - Epoch(train) [161][15/63] lr: 1.9015e-03 eta: 11:33:40 time: 0.6731 data_time: 0.0256 memory: 16395 loss: 2.4694 loss_prob: 1.5355 loss_thr: 0.6697 loss_db: 0.2642 2022/11/02 13:58:13 - mmengine - INFO - Epoch(train) [161][20/63] lr: 1.9015e-03 eta: 11:33:28 time: 0.5475 data_time: 0.0047 memory: 16395 loss: 2.6328 loss_prob: 1.6485 loss_thr: 0.7057 loss_db: 0.2786 2022/11/02 13:58:16 - mmengine - INFO - Epoch(train) [161][25/63] lr: 1.9015e-03 eta: 11:33:28 time: 0.5327 data_time: 0.0132 memory: 16395 loss: 2.7762 loss_prob: 1.7514 loss_thr: 0.7340 loss_db: 0.2907 2022/11/02 13:58:19 - mmengine - INFO - Epoch(train) [161][30/63] lr: 1.9015e-03 eta: 11:33:16 time: 0.5503 data_time: 0.0237 memory: 16395 loss: 2.7012 loss_prob: 1.6846 loss_thr: 0.7340 loss_db: 0.2825 2022/11/02 13:58:22 - mmengine - INFO - Epoch(train) [161][35/63] lr: 1.9015e-03 eta: 11:33:16 time: 0.5887 data_time: 0.0301 memory: 16395 loss: 2.9337 loss_prob: 1.8646 loss_thr: 0.7431 loss_db: 0.3261 2022/11/02 13:58:24 - mmengine - INFO - Epoch(train) [161][40/63] lr: 1.9015e-03 eta: 11:33:04 time: 0.5527 data_time: 0.0195 memory: 16395 loss: 2.9690 loss_prob: 1.9134 loss_thr: 0.7286 loss_db: 0.3271 2022/11/02 13:58:27 - mmengine - INFO - Epoch(train) [161][45/63] lr: 1.9015e-03 eta: 11:33:04 time: 0.4991 data_time: 0.0043 memory: 16395 loss: 2.6118 loss_prob: 1.6452 loss_thr: 0.6950 loss_db: 0.2716 2022/11/02 13:58:30 - mmengine - INFO - Epoch(train) [161][50/63] lr: 1.9015e-03 eta: 11:32:52 time: 0.5397 data_time: 0.0130 memory: 16395 loss: 2.6503 loss_prob: 1.6404 loss_thr: 0.7346 loss_db: 0.2754 2022/11/02 13:58:32 - mmengine - INFO - Epoch(train) [161][55/63] lr: 1.9015e-03 eta: 11:32:52 time: 0.5566 data_time: 0.0202 memory: 16395 loss: 2.5765 loss_prob: 1.5835 loss_thr: 0.7299 loss_db: 0.2631 2022/11/02 13:58:35 - mmengine - INFO - Epoch(train) [161][60/63] lr: 1.9015e-03 eta: 11:32:40 time: 0.5446 data_time: 0.0118 memory: 16395 loss: 2.5125 loss_prob: 1.5578 loss_thr: 0.6980 loss_db: 0.2566 2022/11/02 13:58:36 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:58:42 - mmengine - INFO - Epoch(train) [162][5/63] lr: 1.8998e-03 eta: 11:32:40 time: 0.7384 data_time: 0.2264 memory: 16395 loss: 2.8189 loss_prob: 1.7571 loss_thr: 0.7667 loss_db: 0.2951 2022/11/02 13:58:44 - mmengine - INFO - Epoch(train) [162][10/63] lr: 1.8998e-03 eta: 11:32:29 time: 0.7960 data_time: 0.2263 memory: 16395 loss: 2.6753 loss_prob: 1.6647 loss_thr: 0.7283 loss_db: 0.2823 2022/11/02 13:58:47 - mmengine - INFO - Epoch(train) [162][15/63] lr: 1.8998e-03 eta: 11:32:29 time: 0.5587 data_time: 0.0048 memory: 16395 loss: 2.5360 loss_prob: 1.5603 loss_thr: 0.7196 loss_db: 0.2561 2022/11/02 13:58:50 - mmengine - INFO - Epoch(train) [162][20/63] lr: 1.8998e-03 eta: 11:32:16 time: 0.5314 data_time: 0.0053 memory: 16395 loss: 2.6413 loss_prob: 1.6493 loss_thr: 0.7211 loss_db: 0.2709 2022/11/02 13:58:54 - mmengine - INFO - Epoch(train) [162][25/63] lr: 1.8998e-03 eta: 11:32:16 time: 0.6617 data_time: 0.0349 memory: 16395 loss: 3.0483 loss_prob: 1.9536 loss_thr: 0.7518 loss_db: 0.3429 2022/11/02 13:58:56 - mmengine - INFO - Epoch(train) [162][30/63] lr: 1.8998e-03 eta: 11:32:13 time: 0.6773 data_time: 0.0339 memory: 16395 loss: 2.9760 loss_prob: 1.8823 loss_thr: 0.7603 loss_db: 0.3335 2022/11/02 13:58:59 - mmengine - INFO - Epoch(train) [162][35/63] lr: 1.8998e-03 eta: 11:32:13 time: 0.5406 data_time: 0.0044 memory: 16395 loss: 2.7380 loss_prob: 1.7211 loss_thr: 0.7310 loss_db: 0.2859 2022/11/02 13:59:02 - mmengine - INFO - Epoch(train) [162][40/63] lr: 1.8998e-03 eta: 11:32:01 time: 0.5440 data_time: 0.0047 memory: 16395 loss: 2.7511 loss_prob: 1.7200 loss_thr: 0.7468 loss_db: 0.2842 2022/11/02 13:59:04 - mmengine - INFO - Epoch(train) [162][45/63] lr: 1.8998e-03 eta: 11:32:01 time: 0.5339 data_time: 0.0050 memory: 16395 loss: 2.5903 loss_prob: 1.6191 loss_thr: 0.6985 loss_db: 0.2727 2022/11/02 13:59:07 - mmengine - INFO - Epoch(train) [162][50/63] lr: 1.8998e-03 eta: 11:31:48 time: 0.5375 data_time: 0.0200 memory: 16395 loss: 2.5132 loss_prob: 1.5647 loss_thr: 0.6878 loss_db: 0.2607 2022/11/02 13:59:10 - mmengine - INFO - Epoch(train) [162][55/63] lr: 1.8998e-03 eta: 11:31:48 time: 0.5356 data_time: 0.0198 memory: 16395 loss: 2.6482 loss_prob: 1.6340 loss_thr: 0.7372 loss_db: 0.2769 2022/11/02 13:59:12 - mmengine - INFO - Epoch(train) [162][60/63] lr: 1.8998e-03 eta: 11:31:34 time: 0.5224 data_time: 0.0046 memory: 16395 loss: 2.6705 loss_prob: 1.6692 loss_thr: 0.7185 loss_db: 0.2827 2022/11/02 13:59:14 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:59:19 - mmengine - INFO - Epoch(train) [163][5/63] lr: 1.8982e-03 eta: 11:31:34 time: 0.7979 data_time: 0.2237 memory: 16395 loss: 2.4882 loss_prob: 1.5360 loss_thr: 0.6993 loss_db: 0.2529 2022/11/02 13:59:22 - mmengine - INFO - Epoch(train) [163][10/63] lr: 1.8982e-03 eta: 11:31:27 time: 0.8302 data_time: 0.2238 memory: 16395 loss: 2.5094 loss_prob: 1.5496 loss_thr: 0.7002 loss_db: 0.2595 2022/11/02 13:59:25 - mmengine - INFO - Epoch(train) [163][15/63] lr: 1.8982e-03 eta: 11:31:27 time: 0.5537 data_time: 0.0052 memory: 16395 loss: 2.4777 loss_prob: 1.5283 loss_thr: 0.6899 loss_db: 0.2595 2022/11/02 13:59:28 - mmengine - INFO - Epoch(train) [163][20/63] lr: 1.8982e-03 eta: 11:31:15 time: 0.5490 data_time: 0.0082 memory: 16395 loss: 2.3626 loss_prob: 1.4386 loss_thr: 0.6882 loss_db: 0.2357 2022/11/02 13:59:31 - mmengine - INFO - Epoch(train) [163][25/63] lr: 1.8982e-03 eta: 11:31:15 time: 0.5816 data_time: 0.0319 memory: 16395 loss: 2.3270 loss_prob: 1.4309 loss_thr: 0.6652 loss_db: 0.2308 2022/11/02 13:59:33 - mmengine - INFO - Epoch(train) [163][30/63] lr: 1.8982e-03 eta: 11:31:04 time: 0.5651 data_time: 0.0319 memory: 16395 loss: 2.4972 loss_prob: 1.5647 loss_thr: 0.6783 loss_db: 0.2542 2022/11/02 13:59:36 - mmengine - INFO - Epoch(train) [163][35/63] lr: 1.8982e-03 eta: 11:31:04 time: 0.5264 data_time: 0.0139 memory: 16395 loss: 2.6057 loss_prob: 1.6115 loss_thr: 0.7310 loss_db: 0.2632 2022/11/02 13:59:39 - mmengine - INFO - Epoch(train) [163][40/63] lr: 1.8982e-03 eta: 11:30:51 time: 0.5309 data_time: 0.0148 memory: 16395 loss: 2.6267 loss_prob: 1.6232 loss_thr: 0.7357 loss_db: 0.2677 2022/11/02 13:59:41 - mmengine - INFO - Epoch(train) [163][45/63] lr: 1.8982e-03 eta: 11:30:51 time: 0.5182 data_time: 0.0085 memory: 16395 loss: 2.6630 loss_prob: 1.6604 loss_thr: 0.7251 loss_db: 0.2774 2022/11/02 13:59:44 - mmengine - INFO - Epoch(train) [163][50/63] lr: 1.8982e-03 eta: 11:30:38 time: 0.5367 data_time: 0.0190 memory: 16395 loss: 2.5792 loss_prob: 1.5925 loss_thr: 0.7219 loss_db: 0.2649 2022/11/02 13:59:47 - mmengine - INFO - Epoch(train) [163][55/63] lr: 1.8982e-03 eta: 11:30:38 time: 0.5637 data_time: 0.0210 memory: 16395 loss: 2.5015 loss_prob: 1.5323 loss_thr: 0.7153 loss_db: 0.2539 2022/11/02 13:59:50 - mmengine - INFO - Epoch(train) [163][60/63] lr: 1.8982e-03 eta: 11:30:27 time: 0.5547 data_time: 0.0098 memory: 16395 loss: 2.5556 loss_prob: 1.5818 loss_thr: 0.7088 loss_db: 0.2650 2022/11/02 13:59:52 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 13:59:58 - mmengine - INFO - Epoch(train) [164][5/63] lr: 1.8965e-03 eta: 11:30:27 time: 0.9417 data_time: 0.2503 memory: 16395 loss: 2.4909 loss_prob: 1.5439 loss_thr: 0.6909 loss_db: 0.2561 2022/11/02 14:00:00 - mmengine - INFO - Epoch(train) [164][10/63] lr: 1.8965e-03 eta: 11:30:21 time: 0.8610 data_time: 0.2475 memory: 16395 loss: 2.8797 loss_prob: 1.8085 loss_thr: 0.7574 loss_db: 0.3139 2022/11/02 14:00:05 - mmengine - INFO - Epoch(train) [164][15/63] lr: 1.8965e-03 eta: 11:30:21 time: 0.7235 data_time: 0.0058 memory: 16395 loss: 3.2374 loss_prob: 2.0660 loss_thr: 0.8007 loss_db: 0.3707 2022/11/02 14:00:08 - mmengine - INFO - Epoch(train) [164][20/63] lr: 1.8965e-03 eta: 11:30:23 time: 0.7635 data_time: 0.0052 memory: 16395 loss: 3.2114 loss_prob: 2.0435 loss_thr: 0.8001 loss_db: 0.3678 2022/11/02 14:00:11 - mmengine - INFO - Epoch(train) [164][25/63] lr: 1.8965e-03 eta: 11:30:23 time: 0.5984 data_time: 0.0326 memory: 16395 loss: 2.9208 loss_prob: 1.8529 loss_thr: 0.7465 loss_db: 0.3214 2022/11/02 14:00:15 - mmengine - INFO - Epoch(train) [164][30/63] lr: 1.8965e-03 eta: 11:30:20 time: 0.6890 data_time: 0.0388 memory: 16395 loss: 2.7248 loss_prob: 1.7195 loss_thr: 0.7159 loss_db: 0.2895 2022/11/02 14:00:18 - mmengine - INFO - Epoch(train) [164][35/63] lr: 1.8965e-03 eta: 11:30:20 time: 0.7120 data_time: 0.0106 memory: 16395 loss: 2.8608 loss_prob: 1.8229 loss_thr: 0.7225 loss_db: 0.3154 2022/11/02 14:00:22 - mmengine - INFO - Epoch(train) [164][40/63] lr: 1.8965e-03 eta: 11:30:19 time: 0.7157 data_time: 0.0049 memory: 16395 loss: 2.8929 loss_prob: 1.8575 loss_thr: 0.7193 loss_db: 0.3161 2022/11/02 14:00:25 - mmengine - INFO - Epoch(train) [164][45/63] lr: 1.8965e-03 eta: 11:30:19 time: 0.7414 data_time: 0.0050 memory: 16395 loss: 2.7378 loss_prob: 1.7364 loss_thr: 0.7113 loss_db: 0.2901 2022/11/02 14:00:29 - mmengine - INFO - Epoch(train) [164][50/63] lr: 1.8965e-03 eta: 11:30:15 time: 0.6657 data_time: 0.0237 memory: 16395 loss: 2.6120 loss_prob: 1.6288 loss_thr: 0.7148 loss_db: 0.2683 2022/11/02 14:00:32 - mmengine - INFO - Epoch(train) [164][55/63] lr: 1.8965e-03 eta: 11:30:15 time: 0.6146 data_time: 0.0249 memory: 16395 loss: 2.6854 loss_prob: 1.6643 loss_thr: 0.7443 loss_db: 0.2768 2022/11/02 14:00:35 - mmengine - INFO - Epoch(train) [164][60/63] lr: 1.8965e-03 eta: 11:30:06 time: 0.5975 data_time: 0.0055 memory: 16395 loss: 2.5788 loss_prob: 1.5953 loss_thr: 0.7190 loss_db: 0.2644 2022/11/02 14:00:36 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:00:42 - mmengine - INFO - Epoch(train) [165][5/63] lr: 1.8949e-03 eta: 11:30:06 time: 0.8913 data_time: 0.1937 memory: 16395 loss: 2.5045 loss_prob: 1.5764 loss_thr: 0.6645 loss_db: 0.2636 2022/11/02 14:00:45 - mmengine - INFO - Epoch(train) [165][10/63] lr: 1.8949e-03 eta: 11:30:03 time: 0.9036 data_time: 0.1943 memory: 16395 loss: 2.4018 loss_prob: 1.4635 loss_thr: 0.6987 loss_db: 0.2395 2022/11/02 14:00:48 - mmengine - INFO - Epoch(train) [165][15/63] lr: 1.8949e-03 eta: 11:30:03 time: 0.5995 data_time: 0.0061 memory: 16395 loss: 2.3771 loss_prob: 1.4602 loss_thr: 0.6785 loss_db: 0.2385 2022/11/02 14:00:51 - mmengine - INFO - Epoch(train) [165][20/63] lr: 1.8949e-03 eta: 11:29:52 time: 0.5734 data_time: 0.0052 memory: 16395 loss: 2.4683 loss_prob: 1.5319 loss_thr: 0.6843 loss_db: 0.2521 2022/11/02 14:00:54 - mmengine - INFO - Epoch(train) [165][25/63] lr: 1.8949e-03 eta: 11:29:52 time: 0.5311 data_time: 0.0098 memory: 16395 loss: 2.5171 loss_prob: 1.5600 loss_thr: 0.7020 loss_db: 0.2551 2022/11/02 14:00:57 - mmengine - INFO - Epoch(train) [165][30/63] lr: 1.8949e-03 eta: 11:29:41 time: 0.5548 data_time: 0.0391 memory: 16395 loss: 2.6652 loss_prob: 1.6668 loss_thr: 0.7212 loss_db: 0.2771 2022/11/02 14:00:59 - mmengine - INFO - Epoch(train) [165][35/63] lr: 1.8949e-03 eta: 11:29:41 time: 0.5558 data_time: 0.0342 memory: 16395 loss: 2.6725 loss_prob: 1.6681 loss_thr: 0.7276 loss_db: 0.2767 2022/11/02 14:01:02 - mmengine - INFO - Epoch(train) [165][40/63] lr: 1.8949e-03 eta: 11:29:27 time: 0.5162 data_time: 0.0047 memory: 16395 loss: 2.9094 loss_prob: 1.8547 loss_thr: 0.7443 loss_db: 0.3103 2022/11/02 14:01:04 - mmengine - INFO - Epoch(train) [165][45/63] lr: 1.8949e-03 eta: 11:29:27 time: 0.5167 data_time: 0.0058 memory: 16395 loss: 2.8399 loss_prob: 1.8140 loss_thr: 0.7222 loss_db: 0.3037 2022/11/02 14:01:07 - mmengine - INFO - Epoch(train) [165][50/63] lr: 1.8949e-03 eta: 11:29:13 time: 0.5028 data_time: 0.0118 memory: 16395 loss: 2.4320 loss_prob: 1.5049 loss_thr: 0.6798 loss_db: 0.2473 2022/11/02 14:01:10 - mmengine - INFO - Epoch(train) [165][55/63] lr: 1.8949e-03 eta: 11:29:13 time: 0.5576 data_time: 0.0203 memory: 16395 loss: 2.3808 loss_prob: 1.4563 loss_thr: 0.6891 loss_db: 0.2354 2022/11/02 14:01:12 - mmengine - INFO - Epoch(train) [165][60/63] lr: 1.8949e-03 eta: 11:29:03 time: 0.5777 data_time: 0.0144 memory: 16395 loss: 2.4466 loss_prob: 1.5101 loss_thr: 0.6915 loss_db: 0.2451 2022/11/02 14:01:14 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:01:19 - mmengine - INFO - Epoch(train) [166][5/63] lr: 1.8932e-03 eta: 11:29:03 time: 0.7427 data_time: 0.2220 memory: 16395 loss: 2.5696 loss_prob: 1.5916 loss_thr: 0.7116 loss_db: 0.2664 2022/11/02 14:01:22 - mmengine - INFO - Epoch(train) [166][10/63] lr: 1.8932e-03 eta: 11:28:52 time: 0.7796 data_time: 0.2226 memory: 16395 loss: 2.4662 loss_prob: 1.5270 loss_thr: 0.6823 loss_db: 0.2568 2022/11/02 14:01:25 - mmengine - INFO - Epoch(train) [166][15/63] lr: 1.8932e-03 eta: 11:28:52 time: 0.5900 data_time: 0.0079 memory: 16395 loss: 2.4460 loss_prob: 1.5278 loss_thr: 0.6665 loss_db: 0.2517 2022/11/02 14:01:27 - mmengine - INFO - Epoch(train) [166][20/63] lr: 1.8932e-03 eta: 11:28:42 time: 0.5711 data_time: 0.0073 memory: 16395 loss: 2.7311 loss_prob: 1.7155 loss_thr: 0.7303 loss_db: 0.2853 2022/11/02 14:01:30 - mmengine - INFO - Epoch(train) [166][25/63] lr: 1.8932e-03 eta: 11:28:42 time: 0.5478 data_time: 0.0310 memory: 16395 loss: 2.8646 loss_prob: 1.8106 loss_thr: 0.7445 loss_db: 0.3095 2022/11/02 14:01:33 - mmengine - INFO - Epoch(train) [166][30/63] lr: 1.8932e-03 eta: 11:28:30 time: 0.5585 data_time: 0.0318 memory: 16395 loss: 2.6179 loss_prob: 1.6445 loss_thr: 0.6982 loss_db: 0.2753 2022/11/02 14:01:36 - mmengine - INFO - Epoch(train) [166][35/63] lr: 1.8932e-03 eta: 11:28:30 time: 0.5387 data_time: 0.0091 memory: 16395 loss: 2.6621 loss_prob: 1.6552 loss_thr: 0.7284 loss_db: 0.2785 2022/11/02 14:01:38 - mmengine - INFO - Epoch(train) [166][40/63] lr: 1.8932e-03 eta: 11:28:17 time: 0.5114 data_time: 0.0091 memory: 16395 loss: 2.6864 loss_prob: 1.6710 loss_thr: 0.7302 loss_db: 0.2852 2022/11/02 14:01:41 - mmengine - INFO - Epoch(train) [166][45/63] lr: 1.8932e-03 eta: 11:28:17 time: 0.4884 data_time: 0.0059 memory: 16395 loss: 2.4521 loss_prob: 1.5026 loss_thr: 0.7011 loss_db: 0.2484 2022/11/02 14:01:44 - mmengine - INFO - Epoch(train) [166][50/63] lr: 1.8932e-03 eta: 11:28:05 time: 0.5509 data_time: 0.0321 memory: 16395 loss: 2.5031 loss_prob: 1.5374 loss_thr: 0.7133 loss_db: 0.2524 2022/11/02 14:01:46 - mmengine - INFO - Epoch(train) [166][55/63] lr: 1.8932e-03 eta: 11:28:05 time: 0.5662 data_time: 0.0339 memory: 16395 loss: 2.7355 loss_prob: 1.7306 loss_thr: 0.7192 loss_db: 0.2857 2022/11/02 14:01:49 - mmengine - INFO - Epoch(train) [166][60/63] lr: 1.8932e-03 eta: 11:27:52 time: 0.5266 data_time: 0.0068 memory: 16395 loss: 2.6454 loss_prob: 1.6760 loss_thr: 0.6974 loss_db: 0.2719 2022/11/02 14:01:50 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:01:56 - mmengine - INFO - Epoch(train) [167][5/63] lr: 1.8916e-03 eta: 11:27:52 time: 0.8226 data_time: 0.2966 memory: 16395 loss: 2.4262 loss_prob: 1.5010 loss_thr: 0.6780 loss_db: 0.2473 2022/11/02 14:01:59 - mmengine - INFO - Epoch(train) [167][10/63] lr: 1.8916e-03 eta: 11:27:45 time: 0.8478 data_time: 0.2988 memory: 16395 loss: 2.4688 loss_prob: 1.5455 loss_thr: 0.6693 loss_db: 0.2540 2022/11/02 14:02:01 - mmengine - INFO - Epoch(train) [167][15/63] lr: 1.8916e-03 eta: 11:27:45 time: 0.5320 data_time: 0.0081 memory: 16395 loss: 2.5333 loss_prob: 1.5834 loss_thr: 0.6876 loss_db: 0.2623 2022/11/02 14:02:04 - mmengine - INFO - Epoch(train) [167][20/63] lr: 1.8916e-03 eta: 11:27:35 time: 0.5703 data_time: 0.0066 memory: 16395 loss: 2.7022 loss_prob: 1.6731 loss_thr: 0.7473 loss_db: 0.2818 2022/11/02 14:02:07 - mmengine - INFO - Epoch(train) [167][25/63] lr: 1.8916e-03 eta: 11:27:35 time: 0.5586 data_time: 0.0264 memory: 16395 loss: 2.6110 loss_prob: 1.6016 loss_thr: 0.7407 loss_db: 0.2687 2022/11/02 14:02:10 - mmengine - INFO - Epoch(train) [167][30/63] lr: 1.8916e-03 eta: 11:27:23 time: 0.5452 data_time: 0.0268 memory: 16395 loss: 2.5719 loss_prob: 1.5737 loss_thr: 0.7322 loss_db: 0.2659 2022/11/02 14:02:13 - mmengine - INFO - Epoch(train) [167][35/63] lr: 1.8916e-03 eta: 11:27:23 time: 0.5692 data_time: 0.0099 memory: 16395 loss: 2.5094 loss_prob: 1.5389 loss_thr: 0.7164 loss_db: 0.2541 2022/11/02 14:02:15 - mmengine - INFO - Epoch(train) [167][40/63] lr: 1.8916e-03 eta: 11:27:11 time: 0.5460 data_time: 0.0094 memory: 16395 loss: 2.3935 loss_prob: 1.4654 loss_thr: 0.6955 loss_db: 0.2326 2022/11/02 14:02:18 - mmengine - INFO - Epoch(train) [167][45/63] lr: 1.8916e-03 eta: 11:27:11 time: 0.5151 data_time: 0.0053 memory: 16395 loss: 2.4618 loss_prob: 1.5128 loss_thr: 0.7036 loss_db: 0.2453 2022/11/02 14:02:21 - mmengine - INFO - Epoch(train) [167][50/63] lr: 1.8916e-03 eta: 11:26:59 time: 0.5330 data_time: 0.0175 memory: 16395 loss: 2.5881 loss_prob: 1.6051 loss_thr: 0.7185 loss_db: 0.2645 2022/11/02 14:02:23 - mmengine - INFO - Epoch(train) [167][55/63] lr: 1.8916e-03 eta: 11:26:59 time: 0.5612 data_time: 0.0186 memory: 16395 loss: 2.5848 loss_prob: 1.6186 loss_thr: 0.6971 loss_db: 0.2691 2022/11/02 14:02:27 - mmengine - INFO - Epoch(train) [167][60/63] lr: 1.8916e-03 eta: 11:26:51 time: 0.6059 data_time: 0.0090 memory: 16395 loss: 2.4636 loss_prob: 1.5415 loss_thr: 0.6691 loss_db: 0.2530 2022/11/02 14:02:28 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:02:35 - mmengine - INFO - Epoch(train) [168][5/63] lr: 1.8899e-03 eta: 11:26:51 time: 0.9802 data_time: 0.2801 memory: 16395 loss: 2.6275 loss_prob: 1.6444 loss_thr: 0.7202 loss_db: 0.2630 2022/11/02 14:02:38 - mmengine - INFO - Epoch(train) [168][10/63] lr: 1.8899e-03 eta: 11:26:51 time: 0.9595 data_time: 0.2862 memory: 16395 loss: 2.6731 loss_prob: 1.6659 loss_thr: 0.7263 loss_db: 0.2809 2022/11/02 14:02:41 - mmengine - INFO - Epoch(train) [168][15/63] lr: 1.8899e-03 eta: 11:26:51 time: 0.5423 data_time: 0.0131 memory: 16395 loss: 2.6278 loss_prob: 1.6214 loss_thr: 0.7378 loss_db: 0.2686 2022/11/02 14:02:44 - mmengine - INFO - Epoch(train) [168][20/63] lr: 1.8899e-03 eta: 11:26:45 time: 0.6392 data_time: 0.0046 memory: 16395 loss: 2.5688 loss_prob: 1.5795 loss_thr: 0.7389 loss_db: 0.2505 2022/11/02 14:02:48 - mmengine - INFO - Epoch(train) [168][25/63] lr: 1.8899e-03 eta: 11:26:45 time: 0.7504 data_time: 0.0230 memory: 16395 loss: 2.4954 loss_prob: 1.5455 loss_thr: 0.7002 loss_db: 0.2497 2022/11/02 14:02:52 - mmengine - INFO - Epoch(train) [168][30/63] lr: 1.8899e-03 eta: 11:26:44 time: 0.7261 data_time: 0.0293 memory: 16395 loss: 2.5236 loss_prob: 1.5743 loss_thr: 0.6908 loss_db: 0.2585 2022/11/02 14:02:55 - mmengine - INFO - Epoch(train) [168][35/63] lr: 1.8899e-03 eta: 11:26:44 time: 0.6535 data_time: 0.0183 memory: 16395 loss: 2.7231 loss_prob: 1.6950 loss_thr: 0.7464 loss_db: 0.2817 2022/11/02 14:02:58 - mmengine - INFO - Epoch(train) [168][40/63] lr: 1.8899e-03 eta: 11:26:39 time: 0.6501 data_time: 0.0124 memory: 16395 loss: 2.4695 loss_prob: 1.5107 loss_thr: 0.7113 loss_db: 0.2475 2022/11/02 14:03:02 - mmengine - INFO - Epoch(train) [168][45/63] lr: 1.8899e-03 eta: 11:26:39 time: 0.7339 data_time: 0.0054 memory: 16395 loss: 2.3966 loss_prob: 1.4844 loss_thr: 0.6683 loss_db: 0.2440 2022/11/02 14:03:05 - mmengine - INFO - Epoch(train) [168][50/63] lr: 1.8899e-03 eta: 11:26:36 time: 0.6887 data_time: 0.0170 memory: 16395 loss: 2.5676 loss_prob: 1.6159 loss_thr: 0.6758 loss_db: 0.2759 2022/11/02 14:03:08 - mmengine - INFO - Epoch(train) [168][55/63] lr: 1.8899e-03 eta: 11:26:36 time: 0.6305 data_time: 0.0200 memory: 16395 loss: 2.7440 loss_prob: 1.7441 loss_thr: 0.7023 loss_db: 0.2976 2022/11/02 14:03:11 - mmengine - INFO - Epoch(train) [168][60/63] lr: 1.8899e-03 eta: 11:26:28 time: 0.5955 data_time: 0.0103 memory: 16395 loss: 2.5915 loss_prob: 1.6270 loss_thr: 0.6940 loss_db: 0.2705 2022/11/02 14:03:12 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:03:18 - mmengine - INFO - Epoch(train) [169][5/63] lr: 1.8883e-03 eta: 11:26:28 time: 0.7672 data_time: 0.2216 memory: 16395 loss: 2.6742 loss_prob: 1.7163 loss_thr: 0.6729 loss_db: 0.2850 2022/11/02 14:03:21 - mmengine - INFO - Epoch(train) [169][10/63] lr: 1.8883e-03 eta: 11:26:19 time: 0.8194 data_time: 0.2231 memory: 16395 loss: 2.7497 loss_prob: 1.7648 loss_thr: 0.6914 loss_db: 0.2935 2022/11/02 14:03:23 - mmengine - INFO - Epoch(train) [169][15/63] lr: 1.8883e-03 eta: 11:26:19 time: 0.5542 data_time: 0.0078 memory: 16395 loss: 2.6962 loss_prob: 1.6920 loss_thr: 0.7204 loss_db: 0.2837 2022/11/02 14:03:26 - mmengine - INFO - Epoch(train) [169][20/63] lr: 1.8883e-03 eta: 11:26:07 time: 0.5335 data_time: 0.0129 memory: 16395 loss: 3.0533 loss_prob: 1.9529 loss_thr: 0.7690 loss_db: 0.3315 2022/11/02 14:03:29 - mmengine - INFO - Epoch(train) [169][25/63] lr: 1.8883e-03 eta: 11:26:07 time: 0.5226 data_time: 0.0274 memory: 16395 loss: 3.0202 loss_prob: 1.9343 loss_thr: 0.7628 loss_db: 0.3231 2022/11/02 14:03:31 - mmengine - INFO - Epoch(train) [169][30/63] lr: 1.8883e-03 eta: 11:25:53 time: 0.5148 data_time: 0.0308 memory: 16395 loss: 2.5303 loss_prob: 1.5702 loss_thr: 0.7049 loss_db: 0.2553 2022/11/02 14:03:34 - mmengine - INFO - Epoch(train) [169][35/63] lr: 1.8883e-03 eta: 11:25:53 time: 0.5098 data_time: 0.0161 memory: 16395 loss: 2.3167 loss_prob: 1.4166 loss_thr: 0.6695 loss_db: 0.2306 2022/11/02 14:03:37 - mmengine - INFO - Epoch(train) [169][40/63] lr: 1.8883e-03 eta: 11:25:44 time: 0.5968 data_time: 0.0062 memory: 16395 loss: 2.3932 loss_prob: 1.4639 loss_thr: 0.6896 loss_db: 0.2397 2022/11/02 14:03:40 - mmengine - INFO - Epoch(train) [169][45/63] lr: 1.8883e-03 eta: 11:25:44 time: 0.6330 data_time: 0.0088 memory: 16395 loss: 2.5177 loss_prob: 1.5542 loss_thr: 0.7083 loss_db: 0.2552 2022/11/02 14:03:43 - mmengine - INFO - Epoch(train) [169][50/63] lr: 1.8883e-03 eta: 11:25:35 time: 0.5883 data_time: 0.0186 memory: 16395 loss: 2.5367 loss_prob: 1.5917 loss_thr: 0.6871 loss_db: 0.2580 2022/11/02 14:03:46 - mmengine - INFO - Epoch(train) [169][55/63] lr: 1.8883e-03 eta: 11:25:35 time: 0.5650 data_time: 0.0201 memory: 16395 loss: 2.8234 loss_prob: 1.7968 loss_thr: 0.7241 loss_db: 0.3025 2022/11/02 14:03:48 - mmengine - INFO - Epoch(train) [169][60/63] lr: 1.8883e-03 eta: 11:25:22 time: 0.5128 data_time: 0.0111 memory: 16395 loss: 2.7072 loss_prob: 1.7128 loss_thr: 0.7084 loss_db: 0.2860 2022/11/02 14:03:49 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:03:54 - mmengine - INFO - Epoch(train) [170][5/63] lr: 1.8866e-03 eta: 11:25:22 time: 0.6864 data_time: 0.2123 memory: 16395 loss: 2.5379 loss_prob: 1.5599 loss_thr: 0.7216 loss_db: 0.2564 2022/11/02 14:03:57 - mmengine - INFO - Epoch(train) [170][10/63] lr: 1.8866e-03 eta: 11:25:08 time: 0.7313 data_time: 0.2147 memory: 16395 loss: 2.5238 loss_prob: 1.5550 loss_thr: 0.7126 loss_db: 0.2562 2022/11/02 14:03:59 - mmengine - INFO - Epoch(train) [170][15/63] lr: 1.8866e-03 eta: 11:25:08 time: 0.5179 data_time: 0.0084 memory: 16395 loss: 2.7082 loss_prob: 1.7176 loss_thr: 0.7044 loss_db: 0.2861 2022/11/02 14:04:02 - mmengine - INFO - Epoch(train) [170][20/63] lr: 1.8866e-03 eta: 11:24:55 time: 0.5189 data_time: 0.0083 memory: 16395 loss: 2.5784 loss_prob: 1.6241 loss_thr: 0.6838 loss_db: 0.2705 2022/11/02 14:04:05 - mmengine - INFO - Epoch(train) [170][25/63] lr: 1.8866e-03 eta: 11:24:55 time: 0.5408 data_time: 0.0308 memory: 16395 loss: 2.2880 loss_prob: 1.4040 loss_thr: 0.6548 loss_db: 0.2292 2022/11/02 14:04:07 - mmengine - INFO - Epoch(train) [170][30/63] lr: 1.8866e-03 eta: 11:24:42 time: 0.5371 data_time: 0.0287 memory: 16395 loss: 2.1979 loss_prob: 1.3324 loss_thr: 0.6520 loss_db: 0.2135 2022/11/02 14:04:10 - mmengine - INFO - Epoch(train) [170][35/63] lr: 1.8866e-03 eta: 11:24:42 time: 0.5122 data_time: 0.0071 memory: 16395 loss: 2.2907 loss_prob: 1.3853 loss_thr: 0.6796 loss_db: 0.2258 2022/11/02 14:04:13 - mmengine - INFO - Epoch(train) [170][40/63] lr: 1.8866e-03 eta: 11:24:32 time: 0.5591 data_time: 0.0058 memory: 16395 loss: 2.4018 loss_prob: 1.4631 loss_thr: 0.6995 loss_db: 0.2392 2022/11/02 14:04:15 - mmengine - INFO - Epoch(train) [170][45/63] lr: 1.8866e-03 eta: 11:24:32 time: 0.5532 data_time: 0.0066 memory: 16395 loss: 2.4103 loss_prob: 1.4629 loss_thr: 0.7073 loss_db: 0.2401 2022/11/02 14:04:18 - mmengine - INFO - Epoch(train) [170][50/63] lr: 1.8866e-03 eta: 11:24:19 time: 0.5327 data_time: 0.0261 memory: 16395 loss: 2.3939 loss_prob: 1.4617 loss_thr: 0.6922 loss_db: 0.2399 2022/11/02 14:04:21 - mmengine - INFO - Epoch(train) [170][55/63] lr: 1.8866e-03 eta: 11:24:19 time: 0.5452 data_time: 0.0262 memory: 16395 loss: 2.4468 loss_prob: 1.5073 loss_thr: 0.6918 loss_db: 0.2478 2022/11/02 14:04:23 - mmengine - INFO - Epoch(train) [170][60/63] lr: 1.8866e-03 eta: 11:24:08 time: 0.5457 data_time: 0.0066 memory: 16395 loss: 2.5923 loss_prob: 1.6124 loss_thr: 0.7083 loss_db: 0.2717 2022/11/02 14:04:25 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:04:30 - mmengine - INFO - Epoch(train) [171][5/63] lr: 1.8850e-03 eta: 11:24:08 time: 0.7679 data_time: 0.1799 memory: 16395 loss: 2.6250 loss_prob: 1.6466 loss_thr: 0.6976 loss_db: 0.2808 2022/11/02 14:04:33 - mmengine - INFO - Epoch(train) [171][10/63] lr: 1.8850e-03 eta: 11:23:57 time: 0.7805 data_time: 0.1787 memory: 16395 loss: 2.6431 loss_prob: 1.6649 loss_thr: 0.7030 loss_db: 0.2752 2022/11/02 14:04:36 - mmengine - INFO - Epoch(train) [171][15/63] lr: 1.8850e-03 eta: 11:23:57 time: 0.5862 data_time: 0.0054 memory: 16395 loss: 2.5664 loss_prob: 1.6040 loss_thr: 0.7034 loss_db: 0.2590 2022/11/02 14:04:38 - mmengine - INFO - Epoch(train) [171][20/63] lr: 1.8850e-03 eta: 11:23:46 time: 0.5500 data_time: 0.0052 memory: 16395 loss: 2.7394 loss_prob: 1.7348 loss_thr: 0.7190 loss_db: 0.2855 2022/11/02 14:04:41 - mmengine - INFO - Epoch(train) [171][25/63] lr: 1.8850e-03 eta: 11:23:46 time: 0.5150 data_time: 0.0088 memory: 16395 loss: 2.9183 loss_prob: 1.8591 loss_thr: 0.7445 loss_db: 0.3148 2022/11/02 14:04:44 - mmengine - INFO - Epoch(train) [171][30/63] lr: 1.8850e-03 eta: 11:23:37 time: 0.5901 data_time: 0.0349 memory: 16395 loss: 2.6567 loss_prob: 1.6545 loss_thr: 0.7229 loss_db: 0.2793 2022/11/02 14:04:47 - mmengine - INFO - Epoch(train) [171][35/63] lr: 1.8850e-03 eta: 11:23:37 time: 0.5953 data_time: 0.0310 memory: 16395 loss: 2.6684 loss_prob: 1.6760 loss_thr: 0.7106 loss_db: 0.2818 2022/11/02 14:04:50 - mmengine - INFO - Epoch(train) [171][40/63] lr: 1.8850e-03 eta: 11:23:25 time: 0.5396 data_time: 0.0056 memory: 16395 loss: 2.8863 loss_prob: 1.8284 loss_thr: 0.7462 loss_db: 0.3118 2022/11/02 14:04:52 - mmengine - INFO - Epoch(train) [171][45/63] lr: 1.8850e-03 eta: 11:23:25 time: 0.5210 data_time: 0.0070 memory: 16395 loss: 2.7871 loss_prob: 1.7512 loss_thr: 0.7394 loss_db: 0.2965 2022/11/02 14:04:55 - mmengine - INFO - Epoch(train) [171][50/63] lr: 1.8850e-03 eta: 11:23:12 time: 0.5324 data_time: 0.0114 memory: 16395 loss: 2.6212 loss_prob: 1.6355 loss_thr: 0.7173 loss_db: 0.2685 2022/11/02 14:04:58 - mmengine - INFO - Epoch(train) [171][55/63] lr: 1.8850e-03 eta: 11:23:12 time: 0.5488 data_time: 0.0230 memory: 16395 loss: 2.5980 loss_prob: 1.6312 loss_thr: 0.7030 loss_db: 0.2637 2022/11/02 14:05:01 - mmengine - INFO - Epoch(train) [171][60/63] lr: 1.8850e-03 eta: 11:23:04 time: 0.5913 data_time: 0.0184 memory: 16395 loss: 2.5766 loss_prob: 1.6219 loss_thr: 0.6857 loss_db: 0.2690 2022/11/02 14:05:03 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:05:08 - mmengine - INFO - Epoch(train) [172][5/63] lr: 1.8833e-03 eta: 11:23:04 time: 0.8637 data_time: 0.2237 memory: 16395 loss: 2.5912 loss_prob: 1.6174 loss_thr: 0.7057 loss_db: 0.2681 2022/11/02 14:05:11 - mmengine - INFO - Epoch(train) [172][10/63] lr: 1.8833e-03 eta: 11:22:58 time: 0.8595 data_time: 0.2273 memory: 16395 loss: 2.6006 loss_prob: 1.6161 loss_thr: 0.7201 loss_db: 0.2644 2022/11/02 14:05:14 - mmengine - INFO - Epoch(train) [172][15/63] lr: 1.8833e-03 eta: 11:22:58 time: 0.6110 data_time: 0.0119 memory: 16395 loss: 2.5239 loss_prob: 1.5628 loss_thr: 0.7062 loss_db: 0.2549 2022/11/02 14:05:17 - mmengine - INFO - Epoch(train) [172][20/63] lr: 1.8833e-03 eta: 11:22:50 time: 0.6109 data_time: 0.0116 memory: 16395 loss: 2.5665 loss_prob: 1.5950 loss_thr: 0.7059 loss_db: 0.2656 2022/11/02 14:05:21 - mmengine - INFO - Epoch(train) [172][25/63] lr: 1.8833e-03 eta: 11:22:50 time: 0.7287 data_time: 0.0265 memory: 16395 loss: 2.6010 loss_prob: 1.6285 loss_thr: 0.6971 loss_db: 0.2754 2022/11/02 14:05:24 - mmengine - INFO - Epoch(train) [172][30/63] lr: 1.8833e-03 eta: 11:22:48 time: 0.6963 data_time: 0.0320 memory: 16395 loss: 2.4732 loss_prob: 1.5087 loss_thr: 0.7193 loss_db: 0.2452 2022/11/02 14:05:29 - mmengine - INFO - Epoch(train) [172][35/63] lr: 1.8833e-03 eta: 11:22:48 time: 0.7446 data_time: 0.0160 memory: 16395 loss: 2.4165 loss_prob: 1.4483 loss_thr: 0.7396 loss_db: 0.2285 2022/11/02 14:05:32 - mmengine - INFO - Epoch(train) [172][40/63] lr: 1.8833e-03 eta: 11:22:47 time: 0.7337 data_time: 0.0136 memory: 16395 loss: 2.3978 loss_prob: 1.4598 loss_thr: 0.7002 loss_db: 0.2378 2022/11/02 14:05:34 - mmengine - INFO - Epoch(train) [172][45/63] lr: 1.8833e-03 eta: 11:22:47 time: 0.5619 data_time: 0.0153 memory: 16395 loss: 2.5414 loss_prob: 1.5628 loss_thr: 0.7213 loss_db: 0.2574 2022/11/02 14:05:38 - mmengine - INFO - Epoch(train) [172][50/63] lr: 1.8833e-03 eta: 11:22:39 time: 0.5900 data_time: 0.0214 memory: 16395 loss: 2.5722 loss_prob: 1.5989 loss_thr: 0.7103 loss_db: 0.2630 2022/11/02 14:05:41 - mmengine - INFO - Epoch(train) [172][55/63] lr: 1.8833e-03 eta: 11:22:39 time: 0.6303 data_time: 0.0205 memory: 16395 loss: 2.4672 loss_prob: 1.5340 loss_thr: 0.6796 loss_db: 0.2535 2022/11/02 14:05:44 - mmengine - INFO - Epoch(train) [172][60/63] lr: 1.8833e-03 eta: 11:22:32 time: 0.6229 data_time: 0.0132 memory: 16395 loss: 2.3877 loss_prob: 1.4693 loss_thr: 0.6785 loss_db: 0.2400 2022/11/02 14:05:45 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:05:51 - mmengine - INFO - Epoch(train) [173][5/63] lr: 1.8817e-03 eta: 11:22:32 time: 0.8457 data_time: 0.2159 memory: 16395 loss: 2.6686 loss_prob: 1.6831 loss_thr: 0.7122 loss_db: 0.2733 2022/11/02 14:05:54 - mmengine - INFO - Epoch(train) [173][10/63] lr: 1.8817e-03 eta: 11:22:28 time: 0.9035 data_time: 0.2328 memory: 16395 loss: 2.5559 loss_prob: 1.5898 loss_thr: 0.7075 loss_db: 0.2586 2022/11/02 14:05:59 - mmengine - INFO - Epoch(train) [173][15/63] lr: 1.8817e-03 eta: 11:22:28 time: 0.7455 data_time: 0.0266 memory: 16395 loss: 2.3637 loss_prob: 1.4599 loss_thr: 0.6673 loss_db: 0.2365 2022/11/02 14:06:02 - mmengine - INFO - Epoch(train) [173][20/63] lr: 1.8817e-03 eta: 11:22:32 time: 0.7957 data_time: 0.0085 memory: 16395 loss: 2.4205 loss_prob: 1.4891 loss_thr: 0.6876 loss_db: 0.2438 2022/11/02 14:06:05 - mmengine - INFO - Epoch(train) [173][25/63] lr: 1.8817e-03 eta: 11:22:32 time: 0.6551 data_time: 0.0205 memory: 16395 loss: 2.4480 loss_prob: 1.5069 loss_thr: 0.6936 loss_db: 0.2475 2022/11/02 14:06:08 - mmengine - INFO - Epoch(train) [173][30/63] lr: 1.8817e-03 eta: 11:22:22 time: 0.5845 data_time: 0.0313 memory: 16395 loss: 2.3992 loss_prob: 1.4739 loss_thr: 0.6806 loss_db: 0.2446 2022/11/02 14:06:11 - mmengine - INFO - Epoch(train) [173][35/63] lr: 1.8817e-03 eta: 11:22:22 time: 0.5630 data_time: 0.0194 memory: 16395 loss: 2.3298 loss_prob: 1.4243 loss_thr: 0.6699 loss_db: 0.2356 2022/11/02 14:06:13 - mmengine - INFO - Epoch(train) [173][40/63] lr: 1.8817e-03 eta: 11:22:10 time: 0.5369 data_time: 0.0084 memory: 16395 loss: 2.4968 loss_prob: 1.5454 loss_thr: 0.7022 loss_db: 0.2492 2022/11/02 14:06:16 - mmengine - INFO - Epoch(train) [173][45/63] lr: 1.8817e-03 eta: 11:22:10 time: 0.5224 data_time: 0.0081 memory: 16395 loss: 2.4656 loss_prob: 1.5163 loss_thr: 0.7049 loss_db: 0.2444 2022/11/02 14:06:19 - mmengine - INFO - Epoch(train) [173][50/63] lr: 1.8817e-03 eta: 11:22:00 time: 0.5647 data_time: 0.0184 memory: 16395 loss: 2.1971 loss_prob: 1.3197 loss_thr: 0.6622 loss_db: 0.2152 2022/11/02 14:06:22 - mmengine - INFO - Epoch(train) [173][55/63] lr: 1.8817e-03 eta: 11:22:00 time: 0.5550 data_time: 0.0200 memory: 16395 loss: 2.3856 loss_prob: 1.4668 loss_thr: 0.6748 loss_db: 0.2439 2022/11/02 14:06:24 - mmengine - INFO - Epoch(train) [173][60/63] lr: 1.8817e-03 eta: 11:21:48 time: 0.5284 data_time: 0.0102 memory: 16395 loss: 2.4254 loss_prob: 1.5229 loss_thr: 0.6539 loss_db: 0.2485 2022/11/02 14:06:26 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:06:30 - mmengine - INFO - Epoch(train) [174][5/63] lr: 1.8800e-03 eta: 11:21:48 time: 0.7289 data_time: 0.1917 memory: 16395 loss: 2.4297 loss_prob: 1.5108 loss_thr: 0.6763 loss_db: 0.2427 2022/11/02 14:06:33 - mmengine - INFO - Epoch(train) [174][10/63] lr: 1.8800e-03 eta: 11:21:35 time: 0.7439 data_time: 0.2035 memory: 16395 loss: 2.5528 loss_prob: 1.5766 loss_thr: 0.7195 loss_db: 0.2567 2022/11/02 14:06:36 - mmengine - INFO - Epoch(train) [174][15/63] lr: 1.8800e-03 eta: 11:21:35 time: 0.5079 data_time: 0.0175 memory: 16395 loss: 2.5644 loss_prob: 1.5977 loss_thr: 0.7079 loss_db: 0.2588 2022/11/02 14:06:38 - mmengine - INFO - Epoch(train) [174][20/63] lr: 1.8800e-03 eta: 11:21:21 time: 0.5003 data_time: 0.0046 memory: 16395 loss: 2.4615 loss_prob: 1.5408 loss_thr: 0.6702 loss_db: 0.2505 2022/11/02 14:06:41 - mmengine - INFO - Epoch(train) [174][25/63] lr: 1.8800e-03 eta: 11:21:21 time: 0.5520 data_time: 0.0138 memory: 16395 loss: 2.6244 loss_prob: 1.6686 loss_thr: 0.6759 loss_db: 0.2799 2022/11/02 14:06:44 - mmengine - INFO - Epoch(train) [174][30/63] lr: 1.8800e-03 eta: 11:21:10 time: 0.5531 data_time: 0.0216 memory: 16395 loss: 2.7620 loss_prob: 1.7497 loss_thr: 0.7168 loss_db: 0.2955 2022/11/02 14:06:46 - mmengine - INFO - Epoch(train) [174][35/63] lr: 1.8800e-03 eta: 11:21:10 time: 0.5236 data_time: 0.0255 memory: 16395 loss: 2.7632 loss_prob: 1.7428 loss_thr: 0.7281 loss_db: 0.2923 2022/11/02 14:06:49 - mmengine - INFO - Epoch(train) [174][40/63] lr: 1.8800e-03 eta: 11:20:57 time: 0.5245 data_time: 0.0175 memory: 16395 loss: 2.7135 loss_prob: 1.7133 loss_thr: 0.7156 loss_db: 0.2846 2022/11/02 14:06:51 - mmengine - INFO - Epoch(train) [174][45/63] lr: 1.8800e-03 eta: 11:20:57 time: 0.5035 data_time: 0.0044 memory: 16395 loss: 2.5647 loss_prob: 1.5993 loss_thr: 0.6994 loss_db: 0.2660 2022/11/02 14:06:54 - mmengine - INFO - Epoch(train) [174][50/63] lr: 1.8800e-03 eta: 11:20:43 time: 0.4964 data_time: 0.0119 memory: 16395 loss: 2.5728 loss_prob: 1.5867 loss_thr: 0.7201 loss_db: 0.2660 2022/11/02 14:06:57 - mmengine - INFO - Epoch(train) [174][55/63] lr: 1.8800e-03 eta: 11:20:43 time: 0.5420 data_time: 0.0191 memory: 16395 loss: 2.5736 loss_prob: 1.5844 loss_thr: 0.7241 loss_db: 0.2651 2022/11/02 14:07:00 - mmengine - INFO - Epoch(train) [174][60/63] lr: 1.8800e-03 eta: 11:20:32 time: 0.5650 data_time: 0.0180 memory: 16395 loss: 2.6258 loss_prob: 1.6326 loss_thr: 0.7164 loss_db: 0.2768 2022/11/02 14:07:01 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:07:06 - mmengine - INFO - Epoch(train) [175][5/63] lr: 1.8784e-03 eta: 11:20:32 time: 0.7289 data_time: 0.2294 memory: 16395 loss: 2.2143 loss_prob: 1.3431 loss_thr: 0.6576 loss_db: 0.2135 2022/11/02 14:07:09 - mmengine - INFO - Epoch(train) [175][10/63] lr: 1.8784e-03 eta: 11:20:21 time: 0.7721 data_time: 0.2297 memory: 16395 loss: 2.1823 loss_prob: 1.3217 loss_thr: 0.6495 loss_db: 0.2112 2022/11/02 14:07:11 - mmengine - INFO - Epoch(train) [175][15/63] lr: 1.8784e-03 eta: 11:20:21 time: 0.5369 data_time: 0.0088 memory: 16395 loss: 2.3486 loss_prob: 1.4162 loss_thr: 0.7025 loss_db: 0.2299 2022/11/02 14:07:14 - mmengine - INFO - Epoch(train) [175][20/63] lr: 1.8784e-03 eta: 11:20:12 time: 0.5770 data_time: 0.0091 memory: 16395 loss: 2.4913 loss_prob: 1.5288 loss_thr: 0.7099 loss_db: 0.2526 2022/11/02 14:07:17 - mmengine - INFO - Epoch(train) [175][25/63] lr: 1.8784e-03 eta: 11:20:12 time: 0.5967 data_time: 0.0266 memory: 16395 loss: 2.5831 loss_prob: 1.6025 loss_thr: 0.7160 loss_db: 0.2646 2022/11/02 14:07:20 - mmengine - INFO - Epoch(train) [175][30/63] lr: 1.8784e-03 eta: 11:20:00 time: 0.5315 data_time: 0.0340 memory: 16395 loss: 2.5589 loss_prob: 1.5568 loss_thr: 0.7469 loss_db: 0.2552 2022/11/02 14:07:22 - mmengine - INFO - Epoch(train) [175][35/63] lr: 1.8784e-03 eta: 11:20:00 time: 0.5002 data_time: 0.0131 memory: 16395 loss: 2.5357 loss_prob: 1.5473 loss_thr: 0.7329 loss_db: 0.2554 2022/11/02 14:07:24 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:07:25 - mmengine - INFO - Epoch(train) [175][40/63] lr: 1.8784e-03 eta: 11:19:47 time: 0.5175 data_time: 0.0080 memory: 16395 loss: 2.4407 loss_prob: 1.4876 loss_thr: 0.7104 loss_db: 0.2428 2022/11/02 14:07:27 - mmengine - INFO - Epoch(train) [175][45/63] lr: 1.8784e-03 eta: 11:19:47 time: 0.5241 data_time: 0.0076 memory: 16395 loss: 2.2560 loss_prob: 1.3639 loss_thr: 0.6741 loss_db: 0.2181 2022/11/02 14:07:30 - mmengine - INFO - Epoch(train) [175][50/63] lr: 1.8784e-03 eta: 11:19:35 time: 0.5344 data_time: 0.0168 memory: 16395 loss: 2.3629 loss_prob: 1.4385 loss_thr: 0.6890 loss_db: 0.2354 2022/11/02 14:07:33 - mmengine - INFO - Epoch(train) [175][55/63] lr: 1.8784e-03 eta: 11:19:35 time: 0.5414 data_time: 0.0193 memory: 16395 loss: 2.5130 loss_prob: 1.5551 loss_thr: 0.7012 loss_db: 0.2568 2022/11/02 14:07:35 - mmengine - INFO - Epoch(train) [175][60/63] lr: 1.8784e-03 eta: 11:19:23 time: 0.5345 data_time: 0.0074 memory: 16395 loss: 2.6367 loss_prob: 1.6541 loss_thr: 0.7036 loss_db: 0.2790 2022/11/02 14:07:37 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:07:44 - mmengine - INFO - Epoch(train) [176][5/63] lr: 1.8767e-03 eta: 11:19:23 time: 0.9589 data_time: 0.2669 memory: 16395 loss: 2.2961 loss_prob: 1.4038 loss_thr: 0.6637 loss_db: 0.2286 2022/11/02 14:07:48 - mmengine - INFO - Epoch(train) [176][10/63] lr: 1.8767e-03 eta: 11:19:32 time: 1.1150 data_time: 0.2669 memory: 16395 loss: 2.2876 loss_prob: 1.3914 loss_thr: 0.6746 loss_db: 0.2216 2022/11/02 14:07:51 - mmengine - INFO - Epoch(train) [176][15/63] lr: 1.8767e-03 eta: 11:19:32 time: 0.7323 data_time: 0.0131 memory: 16395 loss: 2.1062 loss_prob: 1.2689 loss_thr: 0.6370 loss_db: 0.2004 2022/11/02 14:07:54 - mmengine - INFO - Epoch(train) [176][20/63] lr: 1.8767e-03 eta: 11:19:26 time: 0.6415 data_time: 0.0130 memory: 16395 loss: 2.0738 loss_prob: 1.2435 loss_thr: 0.6350 loss_db: 0.1952 2022/11/02 14:07:57 - mmengine - INFO - Epoch(train) [176][25/63] lr: 1.8767e-03 eta: 11:19:26 time: 0.5983 data_time: 0.0311 memory: 16395 loss: 2.1526 loss_prob: 1.2899 loss_thr: 0.6570 loss_db: 0.2057 2022/11/02 14:08:00 - mmengine - INFO - Epoch(train) [176][30/63] lr: 1.8767e-03 eta: 11:19:16 time: 0.5709 data_time: 0.0372 memory: 16395 loss: 2.4803 loss_prob: 1.5326 loss_thr: 0.6941 loss_db: 0.2536 2022/11/02 14:08:04 - mmengine - INFO - Epoch(train) [176][35/63] lr: 1.8767e-03 eta: 11:19:16 time: 0.6498 data_time: 0.0138 memory: 16395 loss: 2.4616 loss_prob: 1.5319 loss_thr: 0.6780 loss_db: 0.2518 2022/11/02 14:08:07 - mmengine - INFO - Epoch(train) [176][40/63] lr: 1.8767e-03 eta: 11:19:15 time: 0.7192 data_time: 0.0064 memory: 16395 loss: 2.1569 loss_prob: 1.3145 loss_thr: 0.6283 loss_db: 0.2142 2022/11/02 14:08:11 - mmengine - INFO - Epoch(train) [176][45/63] lr: 1.8767e-03 eta: 11:19:15 time: 0.6772 data_time: 0.0054 memory: 16395 loss: 2.3800 loss_prob: 1.4726 loss_thr: 0.6603 loss_db: 0.2471 2022/11/02 14:08:13 - mmengine - INFO - Epoch(train) [176][50/63] lr: 1.8767e-03 eta: 11:19:07 time: 0.6089 data_time: 0.0238 memory: 16395 loss: 2.5797 loss_prob: 1.6153 loss_thr: 0.6944 loss_db: 0.2700 2022/11/02 14:08:17 - mmengine - INFO - Epoch(train) [176][55/63] lr: 1.8767e-03 eta: 11:19:07 time: 0.6222 data_time: 0.0234 memory: 16395 loss: 2.5217 loss_prob: 1.5582 loss_thr: 0.7081 loss_db: 0.2554 2022/11/02 14:08:20 - mmengine - INFO - Epoch(train) [176][60/63] lr: 1.8767e-03 eta: 11:19:03 time: 0.6654 data_time: 0.0068 memory: 16395 loss: 2.9191 loss_prob: 1.8441 loss_thr: 0.7681 loss_db: 0.3069 2022/11/02 14:08:21 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:08:28 - mmengine - INFO - Epoch(train) [177][5/63] lr: 1.8751e-03 eta: 11:19:03 time: 0.8835 data_time: 0.2116 memory: 16395 loss: 2.6986 loss_prob: 1.6737 loss_thr: 0.7481 loss_db: 0.2768 2022/11/02 14:08:31 - mmengine - INFO - Epoch(train) [177][10/63] lr: 1.8751e-03 eta: 11:19:03 time: 0.9623 data_time: 0.2120 memory: 16395 loss: 2.8170 loss_prob: 1.7719 loss_thr: 0.7425 loss_db: 0.3026 2022/11/02 14:08:35 - mmengine - INFO - Epoch(train) [177][15/63] lr: 1.8751e-03 eta: 11:19:03 time: 0.7113 data_time: 0.0093 memory: 16395 loss: 3.0767 loss_prob: 1.9627 loss_thr: 0.7734 loss_db: 0.3407 2022/11/02 14:08:37 - mmengine - INFO - Epoch(train) [177][20/63] lr: 1.8751e-03 eta: 11:18:57 time: 0.6405 data_time: 0.0093 memory: 16395 loss: 2.8861 loss_prob: 1.8261 loss_thr: 0.7494 loss_db: 0.3107 2022/11/02 14:08:40 - mmengine - INFO - Epoch(train) [177][25/63] lr: 1.8751e-03 eta: 11:18:57 time: 0.5346 data_time: 0.0092 memory: 16395 loss: 2.6033 loss_prob: 1.6259 loss_thr: 0.7065 loss_db: 0.2710 2022/11/02 14:08:43 - mmengine - INFO - Epoch(train) [177][30/63] lr: 1.8751e-03 eta: 11:18:47 time: 0.5599 data_time: 0.0300 memory: 16395 loss: 2.7353 loss_prob: 1.7049 loss_thr: 0.7439 loss_db: 0.2865 2022/11/02 14:08:46 - mmengine - INFO - Epoch(train) [177][35/63] lr: 1.8751e-03 eta: 11:18:47 time: 0.5440 data_time: 0.0272 memory: 16395 loss: 2.7025 loss_prob: 1.6944 loss_thr: 0.7304 loss_db: 0.2778 2022/11/02 14:08:48 - mmengine - INFO - Epoch(train) [177][40/63] lr: 1.8751e-03 eta: 11:18:33 time: 0.5038 data_time: 0.0068 memory: 16395 loss: 2.3868 loss_prob: 1.4743 loss_thr: 0.6764 loss_db: 0.2361 2022/11/02 14:08:51 - mmengine - INFO - Epoch(train) [177][45/63] lr: 1.8751e-03 eta: 11:18:33 time: 0.5330 data_time: 0.0082 memory: 16395 loss: 2.1593 loss_prob: 1.3063 loss_thr: 0.6491 loss_db: 0.2039 2022/11/02 14:08:54 - mmengine - INFO - Epoch(train) [177][50/63] lr: 1.8751e-03 eta: 11:18:22 time: 0.5581 data_time: 0.0135 memory: 16395 loss: 2.2805 loss_prob: 1.4046 loss_thr: 0.6555 loss_db: 0.2204 2022/11/02 14:08:57 - mmengine - INFO - Epoch(train) [177][55/63] lr: 1.8751e-03 eta: 11:18:22 time: 0.5673 data_time: 0.0223 memory: 16395 loss: 2.4340 loss_prob: 1.5031 loss_thr: 0.6868 loss_db: 0.2441 2022/11/02 14:08:59 - mmengine - INFO - Epoch(train) [177][60/63] lr: 1.8751e-03 eta: 11:18:10 time: 0.5218 data_time: 0.0154 memory: 16395 loss: 2.7491 loss_prob: 1.7223 loss_thr: 0.7347 loss_db: 0.2921 2022/11/02 14:09:00 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:09:06 - mmengine - INFO - Epoch(train) [178][5/63] lr: 1.8734e-03 eta: 11:18:10 time: 0.8191 data_time: 0.3428 memory: 16395 loss: 2.4954 loss_prob: 1.5458 loss_thr: 0.7061 loss_db: 0.2436 2022/11/02 14:09:09 - mmengine - INFO - Epoch(train) [178][10/63] lr: 1.8734e-03 eta: 11:18:04 time: 0.8732 data_time: 0.3417 memory: 16395 loss: 2.7684 loss_prob: 1.7426 loss_thr: 0.7336 loss_db: 0.2922 2022/11/02 14:09:11 - mmengine - INFO - Epoch(train) [178][15/63] lr: 1.8734e-03 eta: 11:18:04 time: 0.5253 data_time: 0.0054 memory: 16395 loss: 2.6179 loss_prob: 1.6223 loss_thr: 0.7225 loss_db: 0.2731 2022/11/02 14:09:14 - mmengine - INFO - Epoch(train) [178][20/63] lr: 1.8734e-03 eta: 11:17:53 time: 0.5445 data_time: 0.0051 memory: 16395 loss: 2.4048 loss_prob: 1.4851 loss_thr: 0.6797 loss_db: 0.2400 2022/11/02 14:09:17 - mmengine - INFO - Epoch(train) [178][25/63] lr: 1.8734e-03 eta: 11:17:53 time: 0.5595 data_time: 0.0225 memory: 16395 loss: 2.4596 loss_prob: 1.5371 loss_thr: 0.6748 loss_db: 0.2477 2022/11/02 14:09:19 - mmengine - INFO - Epoch(train) [178][30/63] lr: 1.8734e-03 eta: 11:17:40 time: 0.5153 data_time: 0.0224 memory: 16395 loss: 2.5156 loss_prob: 1.5675 loss_thr: 0.6914 loss_db: 0.2567 2022/11/02 14:09:22 - mmengine - INFO - Epoch(train) [178][35/63] lr: 1.8734e-03 eta: 11:17:40 time: 0.4883 data_time: 0.0050 memory: 16395 loss: 2.5078 loss_prob: 1.5701 loss_thr: 0.6809 loss_db: 0.2568 2022/11/02 14:09:25 - mmengine - INFO - Epoch(train) [178][40/63] lr: 1.8734e-03 eta: 11:17:28 time: 0.5276 data_time: 0.0052 memory: 16395 loss: 2.7007 loss_prob: 1.7122 loss_thr: 0.7005 loss_db: 0.2879 2022/11/02 14:09:27 - mmengine - INFO - Epoch(train) [178][45/63] lr: 1.8734e-03 eta: 11:17:28 time: 0.5399 data_time: 0.0049 memory: 16395 loss: 3.0025 loss_prob: 1.9018 loss_thr: 0.7774 loss_db: 0.3233 2022/11/02 14:09:30 - mmengine - INFO - Epoch(train) [178][50/63] lr: 1.8734e-03 eta: 11:17:16 time: 0.5367 data_time: 0.0227 memory: 16395 loss: 2.7800 loss_prob: 1.7584 loss_thr: 0.7287 loss_db: 0.2929 2022/11/02 14:09:33 - mmengine - INFO - Epoch(train) [178][55/63] lr: 1.8734e-03 eta: 11:17:16 time: 0.5238 data_time: 0.0232 memory: 16395 loss: 2.6804 loss_prob: 1.6981 loss_thr: 0.6958 loss_db: 0.2866 2022/11/02 14:09:35 - mmengine - INFO - Epoch(train) [178][60/63] lr: 1.8734e-03 eta: 11:17:03 time: 0.5070 data_time: 0.0050 memory: 16395 loss: 2.6649 loss_prob: 1.6652 loss_thr: 0.7281 loss_db: 0.2715 2022/11/02 14:09:37 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:09:43 - mmengine - INFO - Epoch(train) [179][5/63] lr: 1.8718e-03 eta: 11:17:03 time: 0.8792 data_time: 0.2422 memory: 16395 loss: 2.5971 loss_prob: 1.6373 loss_thr: 0.6990 loss_db: 0.2608 2022/11/02 14:09:45 - mmengine - INFO - Epoch(train) [179][10/63] lr: 1.8718e-03 eta: 11:16:59 time: 0.8938 data_time: 0.2425 memory: 16395 loss: 2.8658 loss_prob: 1.8090 loss_thr: 0.7581 loss_db: 0.2986 2022/11/02 14:09:48 - mmengine - INFO - Epoch(train) [179][15/63] lr: 1.8718e-03 eta: 11:16:59 time: 0.5355 data_time: 0.0066 memory: 16395 loss: 2.7250 loss_prob: 1.6946 loss_thr: 0.7476 loss_db: 0.2828 2022/11/02 14:09:51 - mmengine - INFO - Epoch(train) [179][20/63] lr: 1.8718e-03 eta: 11:16:47 time: 0.5435 data_time: 0.0066 memory: 16395 loss: 2.4822 loss_prob: 1.5418 loss_thr: 0.6903 loss_db: 0.2501 2022/11/02 14:09:54 - mmengine - INFO - Epoch(train) [179][25/63] lr: 1.8718e-03 eta: 11:16:47 time: 0.5610 data_time: 0.0259 memory: 16395 loss: 2.5514 loss_prob: 1.5818 loss_thr: 0.7078 loss_db: 0.2618 2022/11/02 14:09:57 - mmengine - INFO - Epoch(train) [179][30/63] lr: 1.8718e-03 eta: 11:16:38 time: 0.5699 data_time: 0.0368 memory: 16395 loss: 2.6765 loss_prob: 1.6525 loss_thr: 0.7467 loss_db: 0.2772 2022/11/02 14:09:59 - mmengine - INFO - Epoch(train) [179][35/63] lr: 1.8718e-03 eta: 11:16:38 time: 0.5365 data_time: 0.0168 memory: 16395 loss: 2.4869 loss_prob: 1.5231 loss_thr: 0.7152 loss_db: 0.2486 2022/11/02 14:10:02 - mmengine - INFO - Epoch(train) [179][40/63] lr: 1.8718e-03 eta: 11:16:25 time: 0.5297 data_time: 0.0068 memory: 16395 loss: 2.2937 loss_prob: 1.3928 loss_thr: 0.6792 loss_db: 0.2217 2022/11/02 14:10:04 - mmengine - INFO - Epoch(train) [179][45/63] lr: 1.8718e-03 eta: 11:16:25 time: 0.5183 data_time: 0.0065 memory: 16395 loss: 2.2370 loss_prob: 1.3520 loss_thr: 0.6719 loss_db: 0.2131 2022/11/02 14:10:07 - mmengine - INFO - Epoch(train) [179][50/63] lr: 1.8718e-03 eta: 11:16:13 time: 0.5150 data_time: 0.0159 memory: 16395 loss: 2.1331 loss_prob: 1.2780 loss_thr: 0.6547 loss_db: 0.2004 2022/11/02 14:10:09 - mmengine - INFO - Epoch(train) [179][55/63] lr: 1.8718e-03 eta: 11:16:13 time: 0.5120 data_time: 0.0192 memory: 16395 loss: 2.2674 loss_prob: 1.3840 loss_thr: 0.6565 loss_db: 0.2269 2022/11/02 14:10:12 - mmengine - INFO - Epoch(train) [179][60/63] lr: 1.8718e-03 eta: 11:16:00 time: 0.5226 data_time: 0.0099 memory: 16395 loss: 2.5384 loss_prob: 1.5807 loss_thr: 0.6965 loss_db: 0.2612 2022/11/02 14:10:14 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:10:20 - mmengine - INFO - Epoch(train) [180][5/63] lr: 1.8701e-03 eta: 11:16:00 time: 0.8796 data_time: 0.2468 memory: 16395 loss: 2.4479 loss_prob: 1.5082 loss_thr: 0.6906 loss_db: 0.2491 2022/11/02 14:10:23 - mmengine - INFO - Epoch(train) [180][10/63] lr: 1.8701e-03 eta: 11:15:54 time: 0.8539 data_time: 0.2443 memory: 16395 loss: 2.3614 loss_prob: 1.4382 loss_thr: 0.6868 loss_db: 0.2364 2022/11/02 14:10:25 - mmengine - INFO - Epoch(train) [180][15/63] lr: 1.8701e-03 eta: 11:15:54 time: 0.5434 data_time: 0.0088 memory: 16395 loss: 2.3574 loss_prob: 1.4455 loss_thr: 0.6786 loss_db: 0.2333 2022/11/02 14:10:28 - mmengine - INFO - Epoch(train) [180][20/63] lr: 1.8701e-03 eta: 11:15:41 time: 0.5239 data_time: 0.0079 memory: 16395 loss: 2.3893 loss_prob: 1.4660 loss_thr: 0.6867 loss_db: 0.2367 2022/11/02 14:10:31 - mmengine - INFO - Epoch(train) [180][25/63] lr: 1.8701e-03 eta: 11:15:41 time: 0.5250 data_time: 0.0169 memory: 16395 loss: 2.4728 loss_prob: 1.5161 loss_thr: 0.7107 loss_db: 0.2460 2022/11/02 14:10:34 - mmengine - INFO - Epoch(train) [180][30/63] lr: 1.8701e-03 eta: 11:15:32 time: 0.5765 data_time: 0.0287 memory: 16395 loss: 2.5539 loss_prob: 1.5865 loss_thr: 0.7069 loss_db: 0.2605 2022/11/02 14:10:37 - mmengine - INFO - Epoch(train) [180][35/63] lr: 1.8701e-03 eta: 11:15:32 time: 0.6137 data_time: 0.0167 memory: 16395 loss: 2.5142 loss_prob: 1.5625 loss_thr: 0.6962 loss_db: 0.2556 2022/11/02 14:10:40 - mmengine - INFO - Epoch(train) [180][40/63] lr: 1.8701e-03 eta: 11:15:24 time: 0.6053 data_time: 0.0078 memory: 16395 loss: 2.3307 loss_prob: 1.4324 loss_thr: 0.6663 loss_db: 0.2320 2022/11/02 14:10:42 - mmengine - INFO - Epoch(train) [180][45/63] lr: 1.8701e-03 eta: 11:15:24 time: 0.5675 data_time: 0.0080 memory: 16395 loss: 2.2407 loss_prob: 1.3504 loss_thr: 0.6721 loss_db: 0.2182 2022/11/02 14:10:45 - mmengine - INFO - Epoch(train) [180][50/63] lr: 1.8701e-03 eta: 11:15:13 time: 0.5366 data_time: 0.0111 memory: 16395 loss: 2.1508 loss_prob: 1.2736 loss_thr: 0.6699 loss_db: 0.2074 2022/11/02 14:10:48 - mmengine - INFO - Epoch(train) [180][55/63] lr: 1.8701e-03 eta: 11:15:13 time: 0.6139 data_time: 0.0182 memory: 16395 loss: 2.2489 loss_prob: 1.3555 loss_thr: 0.6717 loss_db: 0.2218 2022/11/02 14:10:55 - mmengine - INFO - Epoch(train) [180][60/63] lr: 1.8701e-03 eta: 11:15:24 time: 0.9418 data_time: 0.0154 memory: 16395 loss: 2.3962 loss_prob: 1.4692 loss_thr: 0.6899 loss_db: 0.2370 2022/11/02 14:10:57 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:10:57 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/11/02 14:11:02 - mmengine - INFO - Epoch(val) [180][5/500] eta: 11:15:24 time: 0.0635 data_time: 0.0104 memory: 16395 2022/11/02 14:11:02 - mmengine - INFO - Epoch(val) [180][10/500] eta: 0:00:36 time: 0.0746 data_time: 0.0111 memory: 1013 2022/11/02 14:11:02 - mmengine - INFO - Epoch(val) [180][15/500] eta: 0:00:36 time: 0.0600 data_time: 0.0039 memory: 1013 2022/11/02 14:11:03 - mmengine - INFO - Epoch(val) [180][20/500] eta: 0:00:24 time: 0.0512 data_time: 0.0035 memory: 1013 2022/11/02 14:11:03 - mmengine - INFO - Epoch(val) [180][25/500] eta: 0:00:24 time: 0.0466 data_time: 0.0041 memory: 1013 2022/11/02 14:11:03 - mmengine - INFO - Epoch(val) [180][30/500] eta: 0:00:22 time: 0.0484 data_time: 0.0041 memory: 1013 2022/11/02 14:11:03 - mmengine - INFO - Epoch(val) [180][35/500] eta: 0:00:22 time: 0.0519 data_time: 0.0047 memory: 1013 2022/11/02 14:11:04 - mmengine - INFO - Epoch(val) [180][40/500] eta: 0:00:26 time: 0.0581 data_time: 0.0050 memory: 1013 2022/11/02 14:11:04 - mmengine - INFO - Epoch(val) [180][45/500] eta: 0:00:26 time: 0.0574 data_time: 0.0038 memory: 1013 2022/11/02 14:11:05 - mmengine - INFO - Epoch(val) [180][50/500] eta: 0:00:52 time: 0.1174 data_time: 0.0721 memory: 1013 2022/11/02 14:11:05 - mmengine - INFO - Epoch(val) [180][55/500] eta: 0:00:52 time: 0.1252 data_time: 0.0714 memory: 1013 2022/11/02 14:11:05 - mmengine - INFO - Epoch(val) [180][60/500] eta: 0:00:25 time: 0.0582 data_time: 0.0026 memory: 1013 2022/11/02 14:11:06 - mmengine - INFO - Epoch(val) [180][65/500] eta: 0:00:25 time: 0.0498 data_time: 0.0030 memory: 1013 2022/11/02 14:11:06 - mmengine - INFO - Epoch(val) [180][70/500] eta: 0:00:20 time: 0.0471 data_time: 0.0032 memory: 1013 2022/11/02 14:11:06 - mmengine - INFO - Epoch(val) [180][75/500] eta: 0:00:20 time: 0.0459 data_time: 0.0030 memory: 1013 2022/11/02 14:11:07 - mmengine - INFO - Epoch(val) [180][80/500] eta: 0:00:46 time: 0.1107 data_time: 0.0699 memory: 1013 2022/11/02 14:11:07 - mmengine - INFO - Epoch(val) [180][85/500] eta: 0:00:46 time: 0.1125 data_time: 0.0699 memory: 1013 2022/11/02 14:11:08 - mmengine - INFO - Epoch(val) [180][90/500] eta: 0:00:20 time: 0.0488 data_time: 0.0029 memory: 1013 2022/11/02 14:11:08 - mmengine - INFO - Epoch(val) [180][95/500] eta: 0:00:20 time: 0.0466 data_time: 0.0028 memory: 1013 2022/11/02 14:11:08 - mmengine - INFO - Epoch(val) [180][100/500] eta: 0:00:19 time: 0.0477 data_time: 0.0037 memory: 1013 2022/11/02 14:11:08 - mmengine - INFO - Epoch(val) [180][105/500] eta: 0:00:19 time: 0.0469 data_time: 0.0037 memory: 1013 2022/11/02 14:11:08 - mmengine - INFO - Epoch(val) [180][110/500] eta: 0:00:18 time: 0.0472 data_time: 0.0030 memory: 1013 2022/11/02 14:11:09 - mmengine - INFO - Epoch(val) [180][115/500] eta: 0:00:18 time: 0.0486 data_time: 0.0030 memory: 1013 2022/11/02 14:11:09 - mmengine - INFO - Epoch(val) [180][120/500] eta: 0:00:19 time: 0.0512 data_time: 0.0040 memory: 1013 2022/11/02 14:11:09 - mmengine - INFO - Epoch(val) [180][125/500] eta: 0:00:19 time: 0.0477 data_time: 0.0039 memory: 1013 2022/11/02 14:11:09 - mmengine - INFO - Epoch(val) [180][130/500] eta: 0:00:15 time: 0.0432 data_time: 0.0030 memory: 1013 2022/11/02 14:11:10 - mmengine - INFO - Epoch(val) [180][135/500] eta: 0:00:15 time: 0.0461 data_time: 0.0039 memory: 1013 2022/11/02 14:11:10 - mmengine - INFO - Epoch(val) [180][140/500] eta: 0:00:17 time: 0.0490 data_time: 0.0036 memory: 1013 2022/11/02 14:11:10 - mmengine - INFO - Epoch(val) [180][145/500] eta: 0:00:17 time: 0.0489 data_time: 0.0029 memory: 1013 2022/11/02 14:11:10 - mmengine - INFO - Epoch(val) [180][150/500] eta: 0:00:17 time: 0.0504 data_time: 0.0029 memory: 1013 2022/11/02 14:11:12 - mmengine - INFO - Epoch(val) [180][155/500] eta: 0:00:17 time: 0.2135 data_time: 0.1616 memory: 1013 2022/11/02 14:11:13 - mmengine - INFO - Epoch(val) [180][160/500] eta: 0:01:12 time: 0.2137 data_time: 0.1614 memory: 1013 2022/11/02 14:11:13 - mmengine - INFO - Epoch(val) [180][165/500] eta: 0:01:12 time: 0.0505 data_time: 0.0028 memory: 1013 2022/11/02 14:11:13 - mmengine - INFO - Epoch(val) [180][170/500] eta: 0:00:17 time: 0.0517 data_time: 0.0034 memory: 1013 2022/11/02 14:11:13 - mmengine - INFO - Epoch(val) [180][175/500] eta: 0:00:17 time: 0.0494 data_time: 0.0032 memory: 1013 2022/11/02 14:11:14 - mmengine - INFO - Epoch(val) [180][180/500] eta: 0:00:14 time: 0.0440 data_time: 0.0031 memory: 1013 2022/11/02 14:11:14 - mmengine - INFO - Epoch(val) [180][185/500] eta: 0:00:14 time: 0.0502 data_time: 0.0033 memory: 1013 2022/11/02 14:11:14 - mmengine - INFO - Epoch(val) [180][190/500] eta: 0:00:16 time: 0.0524 data_time: 0.0032 memory: 1013 2022/11/02 14:11:14 - mmengine - INFO - Epoch(val) [180][195/500] eta: 0:00:16 time: 0.0503 data_time: 0.0039 memory: 1013 2022/11/02 14:11:15 - mmengine - INFO - Epoch(val) [180][200/500] eta: 0:00:17 time: 0.0568 data_time: 0.0041 memory: 1013 2022/11/02 14:11:15 - mmengine - INFO - Epoch(val) [180][205/500] eta: 0:00:17 time: 0.0565 data_time: 0.0035 memory: 1013 2022/11/02 14:11:15 - mmengine - INFO - Epoch(val) [180][210/500] eta: 0:00:13 time: 0.0469 data_time: 0.0039 memory: 1013 2022/11/02 14:11:15 - mmengine - INFO - Epoch(val) [180][215/500] eta: 0:00:13 time: 0.0474 data_time: 0.0036 memory: 1013 2022/11/02 14:11:17 - mmengine - INFO - Epoch(val) [180][220/500] eta: 0:00:59 time: 0.2137 data_time: 0.1674 memory: 1013 2022/11/02 14:11:18 - mmengine - INFO - Epoch(val) [180][225/500] eta: 0:00:59 time: 0.2231 data_time: 0.1670 memory: 1013 2022/11/02 14:11:18 - mmengine - INFO - Epoch(val) [180][230/500] eta: 0:00:15 time: 0.0573 data_time: 0.0026 memory: 1013 2022/11/02 14:11:18 - mmengine - INFO - Epoch(val) [180][235/500] eta: 0:00:15 time: 0.0476 data_time: 0.0035 memory: 1013 2022/11/02 14:11:18 - mmengine - INFO - Epoch(val) [180][240/500] eta: 0:00:14 time: 0.0549 data_time: 0.0037 memory: 1013 2022/11/02 14:11:19 - mmengine - INFO - Epoch(val) [180][245/500] eta: 0:00:14 time: 0.0510 data_time: 0.0034 memory: 1013 2022/11/02 14:11:19 - mmengine - INFO - Epoch(val) [180][250/500] eta: 0:00:11 time: 0.0472 data_time: 0.0032 memory: 1013 2022/11/02 14:11:19 - mmengine - INFO - Epoch(val) [180][255/500] eta: 0:00:11 time: 0.0494 data_time: 0.0033 memory: 1013 2022/11/02 14:11:19 - mmengine - INFO - Epoch(val) [180][260/500] eta: 0:00:11 time: 0.0480 data_time: 0.0035 memory: 1013 2022/11/02 14:11:20 - mmengine - INFO - Epoch(val) [180][265/500] eta: 0:00:11 time: 0.0520 data_time: 0.0054 memory: 1013 2022/11/02 14:11:20 - mmengine - INFO - Epoch(val) [180][270/500] eta: 0:00:11 time: 0.0504 data_time: 0.0052 memory: 1013 2022/11/02 14:11:20 - mmengine - INFO - Epoch(val) [180][275/500] eta: 0:00:11 time: 0.0437 data_time: 0.0032 memory: 1013 2022/11/02 14:11:20 - mmengine - INFO - Epoch(val) [180][280/500] eta: 0:00:10 time: 0.0476 data_time: 0.0036 memory: 1013 2022/11/02 14:11:20 - mmengine - INFO - Epoch(val) [180][285/500] eta: 0:00:10 time: 0.0494 data_time: 0.0038 memory: 1013 2022/11/02 14:11:21 - mmengine - INFO - Epoch(val) [180][290/500] eta: 0:00:10 time: 0.0502 data_time: 0.0035 memory: 1013 2022/11/02 14:11:21 - mmengine - INFO - Epoch(val) [180][295/500] eta: 0:00:10 time: 0.0515 data_time: 0.0035 memory: 1013 2022/11/02 14:11:21 - mmengine - INFO - Epoch(val) [180][300/500] eta: 0:00:09 time: 0.0462 data_time: 0.0032 memory: 1013 2022/11/02 14:11:21 - mmengine - INFO - Epoch(val) [180][305/500] eta: 0:00:09 time: 0.0463 data_time: 0.0029 memory: 1013 2022/11/02 14:11:22 - mmengine - INFO - Epoch(val) [180][310/500] eta: 0:00:08 time: 0.0466 data_time: 0.0029 memory: 1013 2022/11/02 14:11:22 - mmengine - INFO - Epoch(val) [180][315/500] eta: 0:00:08 time: 0.0519 data_time: 0.0033 memory: 1013 2022/11/02 14:11:22 - mmengine - INFO - Epoch(val) [180][320/500] eta: 0:00:10 time: 0.0565 data_time: 0.0039 memory: 1013 2022/11/02 14:11:23 - mmengine - INFO - Epoch(val) [180][325/500] eta: 0:00:10 time: 0.0732 data_time: 0.0038 memory: 1013 2022/11/02 14:11:23 - mmengine - INFO - Epoch(val) [180][330/500] eta: 0:00:11 time: 0.0675 data_time: 0.0033 memory: 1013 2022/11/02 14:11:23 - mmengine - INFO - Epoch(val) [180][335/500] eta: 0:00:11 time: 0.0458 data_time: 0.0033 memory: 1013 2022/11/02 14:11:23 - mmengine - INFO - Epoch(val) [180][340/500] eta: 0:00:08 time: 0.0560 data_time: 0.0032 memory: 1013 2022/11/02 14:11:24 - mmengine - INFO - Epoch(val) [180][345/500] eta: 0:00:08 time: 0.0575 data_time: 0.0039 memory: 1013 2022/11/02 14:11:24 - mmengine - INFO - Epoch(val) [180][350/500] eta: 0:00:07 time: 0.0525 data_time: 0.0040 memory: 1013 2022/11/02 14:11:24 - mmengine - INFO - Epoch(val) [180][355/500] eta: 0:00:07 time: 0.0473 data_time: 0.0031 memory: 1013 2022/11/02 14:11:24 - mmengine - INFO - Epoch(val) [180][360/500] eta: 0:00:06 time: 0.0456 data_time: 0.0034 memory: 1013 2022/11/02 14:11:25 - mmengine - INFO - Epoch(val) [180][365/500] eta: 0:00:06 time: 0.0501 data_time: 0.0038 memory: 1013 2022/11/02 14:11:25 - mmengine - INFO - Epoch(val) [180][370/500] eta: 0:00:05 time: 0.0452 data_time: 0.0034 memory: 1013 2022/11/02 14:11:27 - mmengine - INFO - Epoch(val) [180][375/500] eta: 0:00:05 time: 0.2173 data_time: 0.1735 memory: 1013 2022/11/02 14:11:27 - mmengine - INFO - Epoch(val) [180][380/500] eta: 0:00:26 time: 0.2226 data_time: 0.1731 memory: 1013 2022/11/02 14:11:27 - mmengine - INFO - Epoch(val) [180][385/500] eta: 0:00:26 time: 0.0481 data_time: 0.0030 memory: 1013 2022/11/02 14:11:28 - mmengine - INFO - Epoch(val) [180][390/500] eta: 0:00:05 time: 0.0461 data_time: 0.0034 memory: 1013 2022/11/02 14:11:28 - mmengine - INFO - Epoch(val) [180][395/500] eta: 0:00:05 time: 0.0457 data_time: 0.0031 memory: 1013 2022/11/02 14:11:28 - mmengine - INFO - Epoch(val) [180][400/500] eta: 0:00:04 time: 0.0452 data_time: 0.0030 memory: 1013 2022/11/02 14:11:28 - mmengine - INFO - Epoch(val) [180][405/500] eta: 0:00:04 time: 0.0452 data_time: 0.0030 memory: 1013 2022/11/02 14:11:29 - mmengine - INFO - Epoch(val) [180][410/500] eta: 0:00:04 time: 0.0473 data_time: 0.0031 memory: 1013 2022/11/02 14:11:29 - mmengine - INFO - Epoch(val) [180][415/500] eta: 0:00:04 time: 0.0460 data_time: 0.0029 memory: 1013 2022/11/02 14:11:30 - mmengine - INFO - Epoch(val) [180][420/500] eta: 0:00:09 time: 0.1136 data_time: 0.0754 memory: 1013 2022/11/02 14:11:30 - mmengine - INFO - Epoch(val) [180][425/500] eta: 0:00:09 time: 0.1147 data_time: 0.0751 memory: 1013 2022/11/02 14:11:30 - mmengine - INFO - Epoch(val) [180][430/500] eta: 0:00:03 time: 0.0494 data_time: 0.0028 memory: 1013 2022/11/02 14:11:30 - mmengine - INFO - Epoch(val) [180][435/500] eta: 0:00:03 time: 0.0496 data_time: 0.0034 memory: 1013 2022/11/02 14:11:31 - mmengine - INFO - Epoch(val) [180][440/500] eta: 0:00:02 time: 0.0460 data_time: 0.0031 memory: 1013 2022/11/02 14:11:31 - mmengine - INFO - Epoch(val) [180][445/500] eta: 0:00:02 time: 0.0496 data_time: 0.0032 memory: 1013 2022/11/02 14:11:31 - mmengine - INFO - Epoch(val) [180][450/500] eta: 0:00:02 time: 0.0491 data_time: 0.0030 memory: 1013 2022/11/02 14:11:31 - mmengine - INFO - Epoch(val) [180][455/500] eta: 0:00:02 time: 0.0492 data_time: 0.0030 memory: 1013 2022/11/02 14:11:32 - mmengine - INFO - Epoch(val) [180][460/500] eta: 0:00:01 time: 0.0459 data_time: 0.0032 memory: 1013 2022/11/02 14:11:32 - mmengine - INFO - Epoch(val) [180][465/500] eta: 0:00:01 time: 0.0425 data_time: 0.0032 memory: 1013 2022/11/02 14:11:32 - mmengine - INFO - Epoch(val) [180][470/500] eta: 0:00:01 time: 0.0469 data_time: 0.0034 memory: 1013 2022/11/02 14:11:32 - mmengine - INFO - Epoch(val) [180][475/500] eta: 0:00:01 time: 0.0479 data_time: 0.0036 memory: 1013 2022/11/02 14:11:33 - mmengine - INFO - Epoch(val) [180][480/500] eta: 0:00:01 time: 0.0522 data_time: 0.0045 memory: 1013 2022/11/02 14:11:33 - mmengine - INFO - Epoch(val) [180][485/500] eta: 0:00:01 time: 0.0539 data_time: 0.0052 memory: 1013 2022/11/02 14:11:33 - mmengine - INFO - Epoch(val) [180][490/500] eta: 0:00:00 time: 0.0516 data_time: 0.0043 memory: 1013 2022/11/02 14:11:33 - mmengine - INFO - Epoch(val) [180][495/500] eta: 0:00:00 time: 0.0525 data_time: 0.0036 memory: 1013 2022/11/02 14:11:34 - mmengine - INFO - Epoch(val) [180][500/500] eta: 0:00:00 time: 0.0542 data_time: 0.0039 memory: 1013 2022/11/02 14:11:34 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 14:11:34 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7477, precision: 0.5808, hmean: 0.6538 2022/11/02 14:11:34 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7472, precision: 0.7286, hmean: 0.7378 2022/11/02 14:11:34 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7371, precision: 0.7855, hmean: 0.7606 2022/11/02 14:11:34 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7140, precision: 0.8313, hmean: 0.7682 2022/11/02 14:11:34 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6254, precision: 0.8891, hmean: 0.7343 2022/11/02 14:11:34 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.2167, precision: 0.9574, hmean: 0.3534 2022/11/02 14:11:34 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0005, precision: 1.0000, hmean: 0.0010 2022/11/02 14:11:34 - mmengine - INFO - Epoch(val) [180][500/500] icdar/precision: 0.8313 icdar/recall: 0.7140 icdar/hmean: 0.7682 2022/11/02 14:11:42 - mmengine - INFO - Epoch(train) [181][5/63] lr: 1.8685e-03 eta: 0:00:00 time: 1.3892 data_time: 0.3631 memory: 16395 loss: 2.4927 loss_prob: 1.5370 loss_thr: 0.6968 loss_db: 0.2589 2022/11/02 14:11:47 - mmengine - INFO - Epoch(train) [181][10/63] lr: 1.8685e-03 eta: 11:15:42 time: 1.2808 data_time: 0.3947 memory: 16395 loss: 2.5753 loss_prob: 1.5967 loss_thr: 0.7099 loss_db: 0.2687 2022/11/02 14:11:50 - mmengine - INFO - Epoch(train) [181][15/63] lr: 1.8685e-03 eta: 11:15:42 time: 0.7486 data_time: 0.0460 memory: 16395 loss: 2.4897 loss_prob: 1.5432 loss_thr: 0.6905 loss_db: 0.2560 2022/11/02 14:11:53 - mmengine - INFO - Epoch(train) [181][20/63] lr: 1.8685e-03 eta: 11:15:35 time: 0.6263 data_time: 0.0132 memory: 16395 loss: 2.4646 loss_prob: 1.5313 loss_thr: 0.6766 loss_db: 0.2567 2022/11/02 14:11:56 - mmengine - INFO - Epoch(train) [181][25/63] lr: 1.8685e-03 eta: 11:15:35 time: 0.6655 data_time: 0.0135 memory: 16395 loss: 2.7104 loss_prob: 1.7145 loss_thr: 0.7050 loss_db: 0.2909 2022/11/02 14:12:00 - mmengine - INFO - Epoch(train) [181][30/63] lr: 1.8685e-03 eta: 11:15:36 time: 0.7475 data_time: 0.0214 memory: 16395 loss: 2.9259 loss_prob: 1.8805 loss_thr: 0.7262 loss_db: 0.3192 2022/11/02 14:12:04 - mmengine - INFO - Epoch(train) [181][35/63] lr: 1.8685e-03 eta: 11:15:36 time: 0.7520 data_time: 0.0431 memory: 16395 loss: 2.6629 loss_prob: 1.6653 loss_thr: 0.7221 loss_db: 0.2755 2022/11/02 14:12:08 - mmengine - INFO - Epoch(train) [181][40/63] lr: 1.8685e-03 eta: 11:15:39 time: 0.8085 data_time: 0.0355 memory: 16395 loss: 2.3742 loss_prob: 1.4483 loss_thr: 0.6953 loss_db: 0.2305 2022/11/02 14:12:11 - mmengine - INFO - Epoch(train) [181][45/63] lr: 1.8685e-03 eta: 11:15:39 time: 0.7532 data_time: 0.0114 memory: 16395 loss: 2.4535 loss_prob: 1.5141 loss_thr: 0.6935 loss_db: 0.2459 2022/11/02 14:12:15 - mmengine - INFO - Epoch(train) [181][50/63] lr: 1.8685e-03 eta: 11:15:34 time: 0.6468 data_time: 0.0117 memory: 16395 loss: 2.7181 loss_prob: 1.7107 loss_thr: 0.7236 loss_db: 0.2838 2022/11/02 14:12:19 - mmengine - INFO - Epoch(train) [181][55/63] lr: 1.8685e-03 eta: 11:15:34 time: 0.7155 data_time: 0.0290 memory: 16395 loss: 2.5809 loss_prob: 1.6162 loss_thr: 0.7021 loss_db: 0.2626 2022/11/02 14:12:22 - mmengine - INFO - Epoch(train) [181][60/63] lr: 1.8685e-03 eta: 11:15:33 time: 0.7279 data_time: 0.0288 memory: 16395 loss: 2.4233 loss_prob: 1.4766 loss_thr: 0.7050 loss_db: 0.2417 2022/11/02 14:12:24 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:12:31 - mmengine - INFO - Epoch(train) [182][5/63] lr: 1.8668e-03 eta: 11:15:33 time: 0.9910 data_time: 0.3829 memory: 16395 loss: 2.5074 loss_prob: 1.5537 loss_thr: 0.6968 loss_db: 0.2568 2022/11/02 14:12:34 - mmengine - INFO - Epoch(train) [182][10/63] lr: 1.8668e-03 eta: 11:15:38 time: 1.0462 data_time: 0.3879 memory: 16395 loss: 2.4809 loss_prob: 1.5449 loss_thr: 0.6807 loss_db: 0.2553 2022/11/02 14:12:38 - mmengine - INFO - Epoch(train) [182][15/63] lr: 1.8668e-03 eta: 11:15:38 time: 0.7017 data_time: 0.0198 memory: 16395 loss: 2.4946 loss_prob: 1.5392 loss_thr: 0.7102 loss_db: 0.2452 2022/11/02 14:12:41 - mmengine - INFO - Epoch(train) [182][20/63] lr: 1.8668e-03 eta: 11:15:32 time: 0.6520 data_time: 0.0148 memory: 16395 loss: 2.4795 loss_prob: 1.5187 loss_thr: 0.7159 loss_db: 0.2449 2022/11/02 14:12:44 - mmengine - INFO - Epoch(train) [182][25/63] lr: 1.8668e-03 eta: 11:15:32 time: 0.5964 data_time: 0.0411 memory: 16395 loss: 2.3724 loss_prob: 1.4410 loss_thr: 0.6931 loss_db: 0.2383 2022/11/02 14:12:47 - mmengine - INFO - Epoch(train) [182][30/63] lr: 1.8668e-03 eta: 11:15:26 time: 0.6356 data_time: 0.0417 memory: 16395 loss: 2.6589 loss_prob: 1.6663 loss_thr: 0.7089 loss_db: 0.2837 2022/11/02 14:12:50 - mmengine - INFO - Epoch(train) [182][35/63] lr: 1.8668e-03 eta: 11:15:26 time: 0.6674 data_time: 0.0164 memory: 16395 loss: 2.9128 loss_prob: 1.8433 loss_thr: 0.7468 loss_db: 0.3227 2022/11/02 14:12:53 - mmengine - INFO - Epoch(train) [182][40/63] lr: 1.8668e-03 eta: 11:15:20 time: 0.6320 data_time: 0.0125 memory: 16395 loss: 2.7502 loss_prob: 1.7494 loss_thr: 0.7040 loss_db: 0.2968 2022/11/02 14:12:56 - mmengine - INFO - Epoch(train) [182][45/63] lr: 1.8668e-03 eta: 11:15:20 time: 0.6091 data_time: 0.0091 memory: 16395 loss: 2.9673 loss_prob: 1.9181 loss_thr: 0.7219 loss_db: 0.3272 2022/11/02 14:13:00 - mmengine - INFO - Epoch(train) [182][50/63] lr: 1.8668e-03 eta: 11:15:15 time: 0.6464 data_time: 0.0221 memory: 16395 loss: 3.2701 loss_prob: 2.1204 loss_thr: 0.7807 loss_db: 0.3690 2022/11/02 14:13:03 - mmengine - INFO - Epoch(train) [182][55/63] lr: 1.8668e-03 eta: 11:15:15 time: 0.6066 data_time: 0.0244 memory: 16395 loss: 3.0374 loss_prob: 1.9750 loss_thr: 0.7287 loss_db: 0.3336 2022/11/02 14:13:06 - mmengine - INFO - Epoch(train) [182][60/63] lr: 1.8668e-03 eta: 11:15:05 time: 0.5710 data_time: 0.0101 memory: 16395 loss: 2.7794 loss_prob: 1.7799 loss_thr: 0.7057 loss_db: 0.2938 2022/11/02 14:13:08 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:13:14 - mmengine - INFO - Epoch(train) [183][5/63] lr: 1.8652e-03 eta: 11:15:05 time: 0.9586 data_time: 0.2326 memory: 16395 loss: 2.7502 loss_prob: 1.7437 loss_thr: 0.7077 loss_db: 0.2987 2022/11/02 14:13:17 - mmengine - INFO - Epoch(train) [183][10/63] lr: 1.8652e-03 eta: 11:14:59 time: 0.8624 data_time: 0.2413 memory: 16395 loss: 2.8275 loss_prob: 1.7977 loss_thr: 0.7215 loss_db: 0.3083 2022/11/02 14:13:20 - mmengine - INFO - Epoch(train) [183][15/63] lr: 1.8652e-03 eta: 11:14:59 time: 0.5701 data_time: 0.0175 memory: 16395 loss: 2.7748 loss_prob: 1.7750 loss_thr: 0.7030 loss_db: 0.2968 2022/11/02 14:13:22 - mmengine - INFO - Epoch(train) [183][20/63] lr: 1.8652e-03 eta: 11:14:47 time: 0.5356 data_time: 0.0110 memory: 16395 loss: 2.6127 loss_prob: 1.6335 loss_thr: 0.7119 loss_db: 0.2673 2022/11/02 14:13:25 - mmengine - INFO - Epoch(train) [183][25/63] lr: 1.8652e-03 eta: 11:14:47 time: 0.5301 data_time: 0.0141 memory: 16395 loss: 2.5318 loss_prob: 1.5529 loss_thr: 0.7256 loss_db: 0.2533 2022/11/02 14:13:28 - mmengine - INFO - Epoch(train) [183][30/63] lr: 1.8652e-03 eta: 11:14:39 time: 0.5921 data_time: 0.0413 memory: 16395 loss: 2.5155 loss_prob: 1.5608 loss_thr: 0.6982 loss_db: 0.2564 2022/11/02 14:13:31 - mmengine - INFO - Epoch(train) [183][35/63] lr: 1.8652e-03 eta: 11:14:39 time: 0.5941 data_time: 0.0393 memory: 16395 loss: 2.4116 loss_prob: 1.4863 loss_thr: 0.6830 loss_db: 0.2424 2022/11/02 14:13:33 - mmengine - INFO - Epoch(train) [183][40/63] lr: 1.8652e-03 eta: 11:14:27 time: 0.5393 data_time: 0.0082 memory: 16395 loss: 2.3540 loss_prob: 1.4547 loss_thr: 0.6667 loss_db: 0.2327 2022/11/02 14:13:36 - mmengine - INFO - Epoch(train) [183][45/63] lr: 1.8652e-03 eta: 11:14:27 time: 0.5387 data_time: 0.0102 memory: 16395 loss: 2.5873 loss_prob: 1.6341 loss_thr: 0.6785 loss_db: 0.2747 2022/11/02 14:13:39 - mmengine - INFO - Epoch(train) [183][50/63] lr: 1.8652e-03 eta: 11:14:17 time: 0.5612 data_time: 0.0287 memory: 16395 loss: 2.6822 loss_prob: 1.6923 loss_thr: 0.7027 loss_db: 0.2871 2022/11/02 14:13:42 - mmengine - INFO - Epoch(train) [183][55/63] lr: 1.8652e-03 eta: 11:14:17 time: 0.5642 data_time: 0.0294 memory: 16395 loss: 2.6528 loss_prob: 1.6623 loss_thr: 0.7120 loss_db: 0.2786 2022/11/02 14:13:45 - mmengine - INFO - Epoch(train) [183][60/63] lr: 1.8652e-03 eta: 11:14:10 time: 0.6136 data_time: 0.0135 memory: 16395 loss: 2.6305 loss_prob: 1.6537 loss_thr: 0.6971 loss_db: 0.2798 2022/11/02 14:13:47 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:13:52 - mmengine - INFO - Epoch(train) [184][5/63] lr: 1.8635e-03 eta: 11:14:10 time: 0.8906 data_time: 0.2482 memory: 16395 loss: 2.4889 loss_prob: 1.5440 loss_thr: 0.6897 loss_db: 0.2551 2022/11/02 14:13:56 - mmengine - INFO - Epoch(train) [184][10/63] lr: 1.8635e-03 eta: 11:14:06 time: 0.9089 data_time: 0.2556 memory: 16395 loss: 2.6180 loss_prob: 1.6283 loss_thr: 0.7139 loss_db: 0.2758 2022/11/02 14:13:59 - mmengine - INFO - Epoch(train) [184][15/63] lr: 1.8635e-03 eta: 11:14:06 time: 0.6338 data_time: 0.0148 memory: 16395 loss: 2.6722 loss_prob: 1.6644 loss_thr: 0.7305 loss_db: 0.2772 2022/11/02 14:14:02 - mmengine - INFO - Epoch(train) [184][20/63] lr: 1.8635e-03 eta: 11:13:58 time: 0.5977 data_time: 0.0069 memory: 16395 loss: 2.7143 loss_prob: 1.7040 loss_thr: 0.7231 loss_db: 0.2871 2022/11/02 14:14:05 - mmengine - INFO - Epoch(train) [184][25/63] lr: 1.8635e-03 eta: 11:13:58 time: 0.5814 data_time: 0.0274 memory: 16395 loss: 2.6990 loss_prob: 1.6961 loss_thr: 0.7150 loss_db: 0.2879 2022/11/02 14:14:08 - mmengine - INFO - Epoch(train) [184][30/63] lr: 1.8635e-03 eta: 11:13:51 time: 0.6089 data_time: 0.0402 memory: 16395 loss: 2.4369 loss_prob: 1.5130 loss_thr: 0.6805 loss_db: 0.2435 2022/11/02 14:14:10 - mmengine - INFO - Epoch(train) [184][35/63] lr: 1.8635e-03 eta: 11:13:51 time: 0.5731 data_time: 0.0221 memory: 16395 loss: 2.6269 loss_prob: 1.6598 loss_thr: 0.6884 loss_db: 0.2786 2022/11/02 14:14:13 - mmengine - INFO - Epoch(train) [184][40/63] lr: 1.8635e-03 eta: 11:13:39 time: 0.5322 data_time: 0.0102 memory: 16395 loss: 2.8647 loss_prob: 1.8371 loss_thr: 0.7157 loss_db: 0.3119 2022/11/02 14:14:15 - mmengine - INFO - Epoch(train) [184][45/63] lr: 1.8635e-03 eta: 11:13:39 time: 0.5147 data_time: 0.0071 memory: 16395 loss: 2.6631 loss_prob: 1.6844 loss_thr: 0.7021 loss_db: 0.2766 2022/11/02 14:14:19 - mmengine - INFO - Epoch(train) [184][50/63] lr: 1.8635e-03 eta: 11:13:28 time: 0.5561 data_time: 0.0233 memory: 16395 loss: 2.3665 loss_prob: 1.4653 loss_thr: 0.6699 loss_db: 0.2312 2022/11/02 14:14:21 - mmengine - INFO - Epoch(train) [184][55/63] lr: 1.8635e-03 eta: 11:13:28 time: 0.5793 data_time: 0.0277 memory: 16395 loss: 2.3559 loss_prob: 1.4444 loss_thr: 0.6786 loss_db: 0.2329 2022/11/02 14:14:25 - mmengine - INFO - Epoch(train) [184][60/63] lr: 1.8635e-03 eta: 11:13:20 time: 0.6006 data_time: 0.0166 memory: 16395 loss: 2.5293 loss_prob: 1.5523 loss_thr: 0.7203 loss_db: 0.2567 2022/11/02 14:14:26 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:14:33 - mmengine - INFO - Epoch(train) [185][5/63] lr: 1.8619e-03 eta: 11:13:20 time: 0.9142 data_time: 0.3232 memory: 16395 loss: 2.4804 loss_prob: 1.5277 loss_thr: 0.7043 loss_db: 0.2484 2022/11/02 14:14:36 - mmengine - INFO - Epoch(train) [185][10/63] lr: 1.8619e-03 eta: 11:13:21 time: 0.9885 data_time: 0.3240 memory: 16395 loss: 2.5119 loss_prob: 1.5622 loss_thr: 0.6949 loss_db: 0.2548 2022/11/02 14:14:39 - mmengine - INFO - Epoch(train) [185][15/63] lr: 1.8619e-03 eta: 11:13:21 time: 0.6200 data_time: 0.0125 memory: 16395 loss: 2.6247 loss_prob: 1.6509 loss_thr: 0.7050 loss_db: 0.2688 2022/11/02 14:14:42 - mmengine - INFO - Epoch(train) [185][20/63] lr: 1.8619e-03 eta: 11:13:12 time: 0.5731 data_time: 0.0172 memory: 16395 loss: 2.6501 loss_prob: 1.6473 loss_thr: 0.7294 loss_db: 0.2734 2022/11/02 14:14:44 - mmengine - INFO - Epoch(train) [185][25/63] lr: 1.8619e-03 eta: 11:13:12 time: 0.5719 data_time: 0.0434 memory: 16395 loss: 2.5235 loss_prob: 1.5480 loss_thr: 0.7194 loss_db: 0.2561 2022/11/02 14:14:47 - mmengine - INFO - Epoch(train) [185][30/63] lr: 1.8619e-03 eta: 11:13:01 time: 0.5541 data_time: 0.0381 memory: 16395 loss: 2.3319 loss_prob: 1.4169 loss_thr: 0.6864 loss_db: 0.2286 2022/11/02 14:14:50 - mmengine - INFO - Epoch(train) [185][35/63] lr: 1.8619e-03 eta: 11:13:01 time: 0.5666 data_time: 0.0069 memory: 16395 loss: 2.4825 loss_prob: 1.5371 loss_thr: 0.6951 loss_db: 0.2503 2022/11/02 14:14:53 - mmengine - INFO - Epoch(train) [185][40/63] lr: 1.8619e-03 eta: 11:12:52 time: 0.5687 data_time: 0.0092 memory: 16395 loss: 2.8043 loss_prob: 1.7781 loss_thr: 0.7316 loss_db: 0.2947 2022/11/02 14:14:56 - mmengine - INFO - Epoch(train) [185][45/63] lr: 1.8619e-03 eta: 11:12:52 time: 0.5461 data_time: 0.0124 memory: 16395 loss: 2.7558 loss_prob: 1.7562 loss_thr: 0.7128 loss_db: 0.2868 2022/11/02 14:14:59 - mmengine - INFO - Epoch(train) [185][50/63] lr: 1.8619e-03 eta: 11:12:43 time: 0.5888 data_time: 0.0299 memory: 16395 loss: 2.6124 loss_prob: 1.6522 loss_thr: 0.6914 loss_db: 0.2688 2022/11/02 14:15:02 - mmengine - INFO - Epoch(train) [185][55/63] lr: 1.8619e-03 eta: 11:12:43 time: 0.5992 data_time: 0.0261 memory: 16395 loss: 2.4078 loss_prob: 1.5065 loss_thr: 0.6543 loss_db: 0.2470 2022/11/02 14:15:04 - mmengine - INFO - Epoch(train) [185][60/63] lr: 1.8619e-03 eta: 11:12:32 time: 0.5398 data_time: 0.0087 memory: 16395 loss: 2.4823 loss_prob: 1.5380 loss_thr: 0.6926 loss_db: 0.2517 2022/11/02 14:15:06 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:15:11 - mmengine - INFO - Epoch(train) [186][5/63] lr: 1.8602e-03 eta: 11:12:32 time: 0.8260 data_time: 0.2267 memory: 16395 loss: 2.4208 loss_prob: 1.5036 loss_thr: 0.6727 loss_db: 0.2445 2022/11/02 14:15:14 - mmengine - INFO - Epoch(train) [186][10/63] lr: 1.8602e-03 eta: 11:12:26 time: 0.8673 data_time: 0.2288 memory: 16395 loss: 2.3937 loss_prob: 1.4750 loss_thr: 0.6750 loss_db: 0.2437 2022/11/02 14:15:17 - mmengine - INFO - Epoch(train) [186][15/63] lr: 1.8602e-03 eta: 11:12:26 time: 0.5861 data_time: 0.0094 memory: 16395 loss: 2.5406 loss_prob: 1.5741 loss_thr: 0.7110 loss_db: 0.2555 2022/11/02 14:15:20 - mmengine - INFO - Epoch(train) [186][20/63] lr: 1.8602e-03 eta: 11:12:16 time: 0.5536 data_time: 0.0077 memory: 16395 loss: 2.5450 loss_prob: 1.5955 loss_thr: 0.6917 loss_db: 0.2579 2022/11/02 14:15:23 - mmengine - INFO - Epoch(train) [186][25/63] lr: 1.8602e-03 eta: 11:12:16 time: 0.5438 data_time: 0.0363 memory: 16395 loss: 2.5848 loss_prob: 1.6369 loss_thr: 0.6710 loss_db: 0.2769 2022/11/02 14:15:26 - mmengine - INFO - Epoch(train) [186][30/63] lr: 1.8602e-03 eta: 11:12:07 time: 0.5938 data_time: 0.0465 memory: 16395 loss: 2.5162 loss_prob: 1.5754 loss_thr: 0.6755 loss_db: 0.2654 2022/11/02 14:15:29 - mmengine - INFO - Epoch(train) [186][35/63] lr: 1.8602e-03 eta: 11:12:07 time: 0.5915 data_time: 0.0161 memory: 16395 loss: 2.4500 loss_prob: 1.5108 loss_thr: 0.6935 loss_db: 0.2457 2022/11/02 14:15:32 - mmengine - INFO - Epoch(train) [186][40/63] lr: 1.8602e-03 eta: 11:11:58 time: 0.5875 data_time: 0.0066 memory: 16395 loss: 2.6434 loss_prob: 1.6489 loss_thr: 0.7211 loss_db: 0.2734 2022/11/02 14:15:35 - mmengine - INFO - Epoch(train) [186][45/63] lr: 1.8602e-03 eta: 11:11:58 time: 0.6066 data_time: 0.0106 memory: 16395 loss: 2.4638 loss_prob: 1.5274 loss_thr: 0.6859 loss_db: 0.2505 2022/11/02 14:15:38 - mmengine - INFO - Epoch(train) [186][50/63] lr: 1.8602e-03 eta: 11:11:53 time: 0.6441 data_time: 0.0299 memory: 16395 loss: 2.3826 loss_prob: 1.4685 loss_thr: 0.6771 loss_db: 0.2371 2022/11/02 14:15:41 - mmengine - INFO - Epoch(train) [186][55/63] lr: 1.8602e-03 eta: 11:11:53 time: 0.6173 data_time: 0.0321 memory: 16395 loss: 2.4326 loss_prob: 1.5036 loss_thr: 0.6839 loss_db: 0.2451 2022/11/02 14:15:44 - mmengine - INFO - Epoch(train) [186][60/63] lr: 1.8602e-03 eta: 11:11:42 time: 0.5503 data_time: 0.0140 memory: 16395 loss: 2.3998 loss_prob: 1.4802 loss_thr: 0.6827 loss_db: 0.2370 2022/11/02 14:15:45 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:15:51 - mmengine - INFO - Epoch(train) [187][5/63] lr: 1.8586e-03 eta: 11:11:42 time: 0.8334 data_time: 0.2534 memory: 16395 loss: 2.6063 loss_prob: 1.6395 loss_thr: 0.6986 loss_db: 0.2681 2022/11/02 14:15:54 - mmengine - INFO - Epoch(train) [187][10/63] lr: 1.8586e-03 eta: 11:11:37 time: 0.8699 data_time: 0.2513 memory: 16395 loss: 2.5986 loss_prob: 1.6364 loss_thr: 0.6938 loss_db: 0.2684 2022/11/02 14:15:56 - mmengine - INFO - Epoch(train) [187][15/63] lr: 1.8586e-03 eta: 11:11:37 time: 0.5566 data_time: 0.0141 memory: 16395 loss: 2.3881 loss_prob: 1.4798 loss_thr: 0.6714 loss_db: 0.2368 2022/11/02 14:15:59 - mmengine - INFO - Epoch(train) [187][20/63] lr: 1.8586e-03 eta: 11:11:25 time: 0.5376 data_time: 0.0122 memory: 16395 loss: 2.2830 loss_prob: 1.3947 loss_thr: 0.6654 loss_db: 0.2229 2022/11/02 14:16:02 - mmengine - INFO - Epoch(train) [187][25/63] lr: 1.8586e-03 eta: 11:11:25 time: 0.5297 data_time: 0.0122 memory: 16395 loss: 2.1749 loss_prob: 1.3151 loss_thr: 0.6453 loss_db: 0.2145 2022/11/02 14:16:05 - mmengine - INFO - Epoch(train) [187][30/63] lr: 1.8586e-03 eta: 11:11:16 time: 0.5788 data_time: 0.0442 memory: 16395 loss: 2.2276 loss_prob: 1.3528 loss_thr: 0.6501 loss_db: 0.2247 2022/11/02 14:16:07 - mmengine - INFO - Epoch(train) [187][35/63] lr: 1.8586e-03 eta: 11:11:16 time: 0.5739 data_time: 0.0372 memory: 16395 loss: 2.3182 loss_prob: 1.4218 loss_thr: 0.6661 loss_db: 0.2303 2022/11/02 14:16:11 - mmengine - INFO - Epoch(train) [187][40/63] lr: 1.8586e-03 eta: 11:11:07 time: 0.5786 data_time: 0.0094 memory: 16395 loss: 2.5755 loss_prob: 1.5986 loss_thr: 0.7093 loss_db: 0.2675 2022/11/02 14:16:13 - mmengine - INFO - Epoch(train) [187][45/63] lr: 1.8586e-03 eta: 11:11:07 time: 0.5715 data_time: 0.0099 memory: 16395 loss: 2.7593 loss_prob: 1.7306 loss_thr: 0.7301 loss_db: 0.2985 2022/11/02 14:16:16 - mmengine - INFO - Epoch(train) [187][50/63] lr: 1.8586e-03 eta: 11:10:55 time: 0.5316 data_time: 0.0120 memory: 16395 loss: 2.6657 loss_prob: 1.6706 loss_thr: 0.7184 loss_db: 0.2766 2022/11/02 14:16:19 - mmengine - INFO - Epoch(train) [187][55/63] lr: 1.8586e-03 eta: 11:10:55 time: 0.5622 data_time: 0.0251 memory: 16395 loss: 2.4404 loss_prob: 1.5017 loss_thr: 0.6932 loss_db: 0.2455 2022/11/02 14:16:22 - mmengine - INFO - Epoch(train) [187][60/63] lr: 1.8586e-03 eta: 11:10:46 time: 0.5673 data_time: 0.0190 memory: 16395 loss: 2.3749 loss_prob: 1.4563 loss_thr: 0.6811 loss_db: 0.2376 2022/11/02 14:16:23 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:16:28 - mmengine - INFO - Epoch(train) [188][5/63] lr: 1.8569e-03 eta: 11:10:46 time: 0.7468 data_time: 0.2258 memory: 16395 loss: 2.3657 loss_prob: 1.4491 loss_thr: 0.6743 loss_db: 0.2424 2022/11/02 14:16:31 - mmengine - INFO - Epoch(train) [188][10/63] lr: 1.8569e-03 eta: 11:10:35 time: 0.7821 data_time: 0.2260 memory: 16395 loss: 2.3576 loss_prob: 1.4536 loss_thr: 0.6631 loss_db: 0.2410 2022/11/02 14:16:33 - mmengine - INFO - Epoch(train) [188][15/63] lr: 1.8569e-03 eta: 11:10:35 time: 0.5436 data_time: 0.0108 memory: 16395 loss: 2.3078 loss_prob: 1.3952 loss_thr: 0.6882 loss_db: 0.2243 2022/11/02 14:16:36 - mmengine - INFO - Epoch(train) [188][20/63] lr: 1.8569e-03 eta: 11:10:24 time: 0.5337 data_time: 0.0070 memory: 16395 loss: 2.3345 loss_prob: 1.4190 loss_thr: 0.6822 loss_db: 0.2333 2022/11/02 14:16:39 - mmengine - INFO - Epoch(train) [188][25/63] lr: 1.8569e-03 eta: 11:10:24 time: 0.6055 data_time: 0.0486 memory: 16395 loss: 2.4579 loss_prob: 1.5098 loss_thr: 0.7011 loss_db: 0.2470 2022/11/02 14:16:43 - mmengine - INFO - Epoch(train) [188][30/63] lr: 1.8569e-03 eta: 11:10:22 time: 0.7044 data_time: 0.0502 memory: 16395 loss: 2.5167 loss_prob: 1.5619 loss_thr: 0.7066 loss_db: 0.2482 2022/11/02 14:16:46 - mmengine - INFO - Epoch(train) [188][35/63] lr: 1.8569e-03 eta: 11:10:22 time: 0.6458 data_time: 0.0092 memory: 16395 loss: 2.5335 loss_prob: 1.5844 loss_thr: 0.6930 loss_db: 0.2562 2022/11/02 14:16:49 - mmengine - INFO - Epoch(train) [188][40/63] lr: 1.8569e-03 eta: 11:10:11 time: 0.5494 data_time: 0.0092 memory: 16395 loss: 2.5249 loss_prob: 1.5727 loss_thr: 0.6968 loss_db: 0.2554 2022/11/02 14:16:52 - mmengine - INFO - Epoch(train) [188][45/63] lr: 1.8569e-03 eta: 11:10:11 time: 0.5774 data_time: 0.0145 memory: 16395 loss: 2.5548 loss_prob: 1.5805 loss_thr: 0.7197 loss_db: 0.2546 2022/11/02 14:16:54 - mmengine - INFO - Epoch(train) [188][50/63] lr: 1.8569e-03 eta: 11:10:03 time: 0.5969 data_time: 0.0311 memory: 16395 loss: 2.3613 loss_prob: 1.4356 loss_thr: 0.6910 loss_db: 0.2347 2022/11/02 14:16:57 - mmengine - INFO - Epoch(train) [188][55/63] lr: 1.8569e-03 eta: 11:10:03 time: 0.5599 data_time: 0.0264 memory: 16395 loss: 2.4323 loss_prob: 1.4855 loss_thr: 0.7012 loss_db: 0.2456 2022/11/02 14:17:00 - mmengine - INFO - Epoch(train) [188][60/63] lr: 1.8569e-03 eta: 11:09:52 time: 0.5458 data_time: 0.0110 memory: 16395 loss: 2.5425 loss_prob: 1.5805 loss_thr: 0.7060 loss_db: 0.2560 2022/11/02 14:17:01 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:17:07 - mmengine - INFO - Epoch(train) [189][5/63] lr: 1.8553e-03 eta: 11:09:52 time: 0.7731 data_time: 0.2236 memory: 16395 loss: 2.2979 loss_prob: 1.3944 loss_thr: 0.6812 loss_db: 0.2222 2022/11/02 14:17:10 - mmengine - INFO - Epoch(train) [189][10/63] lr: 1.8553e-03 eta: 11:09:45 time: 0.8497 data_time: 0.2357 memory: 16395 loss: 2.4895 loss_prob: 1.5316 loss_thr: 0.7089 loss_db: 0.2490 2022/11/02 14:17:13 - mmengine - INFO - Epoch(train) [189][15/63] lr: 1.8553e-03 eta: 11:09:45 time: 0.5811 data_time: 0.0257 memory: 16395 loss: 2.4656 loss_prob: 1.5342 loss_thr: 0.6799 loss_db: 0.2515 2022/11/02 14:17:15 - mmengine - INFO - Epoch(train) [189][20/63] lr: 1.8553e-03 eta: 11:09:34 time: 0.5357 data_time: 0.0154 memory: 16395 loss: 2.3401 loss_prob: 1.4428 loss_thr: 0.6621 loss_db: 0.2352 2022/11/02 14:17:19 - mmengine - INFO - Epoch(train) [189][25/63] lr: 1.8553e-03 eta: 11:09:34 time: 0.6475 data_time: 0.0412 memory: 16395 loss: 2.5277 loss_prob: 1.5831 loss_thr: 0.6865 loss_db: 0.2581 2022/11/02 14:17:23 - mmengine - INFO - Epoch(train) [189][30/63] lr: 1.8553e-03 eta: 11:09:34 time: 0.7554 data_time: 0.0484 memory: 16395 loss: 2.5002 loss_prob: 1.5580 loss_thr: 0.6878 loss_db: 0.2544 2022/11/02 14:17:25 - mmengine - INFO - Epoch(train) [189][35/63] lr: 1.8553e-03 eta: 11:09:34 time: 0.6485 data_time: 0.0219 memory: 16395 loss: 2.3664 loss_prob: 1.4544 loss_thr: 0.6732 loss_db: 0.2388 2022/11/02 14:17:28 - mmengine - INFO - Epoch(train) [189][40/63] lr: 1.8553e-03 eta: 11:09:24 time: 0.5643 data_time: 0.0154 memory: 16395 loss: 2.3261 loss_prob: 1.4312 loss_thr: 0.6625 loss_db: 0.2324 2022/11/02 14:17:31 - mmengine - INFO - Epoch(train) [189][45/63] lr: 1.8553e-03 eta: 11:09:24 time: 0.5711 data_time: 0.0140 memory: 16395 loss: 2.2271 loss_prob: 1.3576 loss_thr: 0.6527 loss_db: 0.2168 2022/11/02 14:17:34 - mmengine - INFO - Epoch(train) [189][50/63] lr: 1.8553e-03 eta: 11:09:15 time: 0.5650 data_time: 0.0198 memory: 16395 loss: 2.1953 loss_prob: 1.3370 loss_thr: 0.6468 loss_db: 0.2115 2022/11/02 14:17:37 - mmengine - INFO - Epoch(train) [189][55/63] lr: 1.8553e-03 eta: 11:09:15 time: 0.6287 data_time: 0.0235 memory: 16395 loss: 2.2754 loss_prob: 1.4030 loss_thr: 0.6496 loss_db: 0.2228 2022/11/02 14:17:40 - mmengine - INFO - Epoch(train) [189][60/63] lr: 1.8553e-03 eta: 11:09:08 time: 0.6249 data_time: 0.0153 memory: 16395 loss: 2.3260 loss_prob: 1.4440 loss_thr: 0.6466 loss_db: 0.2354 2022/11/02 14:17:42 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:17:48 - mmengine - INFO - Epoch(train) [190][5/63] lr: 1.8536e-03 eta: 11:09:08 time: 0.8620 data_time: 0.2637 memory: 16395 loss: 2.4359 loss_prob: 1.4951 loss_thr: 0.6966 loss_db: 0.2443 2022/11/02 14:17:51 - mmengine - INFO - Epoch(train) [190][10/63] lr: 1.8536e-03 eta: 11:09:03 time: 0.8796 data_time: 0.2649 memory: 16395 loss: 2.3555 loss_prob: 1.4429 loss_thr: 0.6779 loss_db: 0.2347 2022/11/02 14:17:54 - mmengine - INFO - Epoch(train) [190][15/63] lr: 1.8536e-03 eta: 11:09:03 time: 0.6534 data_time: 0.0143 memory: 16395 loss: 2.3027 loss_prob: 1.3954 loss_thr: 0.6794 loss_db: 0.2279 2022/11/02 14:17:57 - mmengine - INFO - Epoch(train) [190][20/63] lr: 1.8536e-03 eta: 11:08:55 time: 0.5926 data_time: 0.0064 memory: 16395 loss: 2.4427 loss_prob: 1.4915 loss_thr: 0.7072 loss_db: 0.2441 2022/11/02 14:18:01 - mmengine - INFO - Epoch(train) [190][25/63] lr: 1.8536e-03 eta: 11:08:55 time: 0.6855 data_time: 0.0426 memory: 16395 loss: 2.4750 loss_prob: 1.5355 loss_thr: 0.6976 loss_db: 0.2419 2022/11/02 14:18:04 - mmengine - INFO - Epoch(train) [190][30/63] lr: 1.8536e-03 eta: 11:08:52 time: 0.6878 data_time: 0.0578 memory: 16395 loss: 2.4040 loss_prob: 1.4892 loss_thr: 0.6803 loss_db: 0.2344 2022/11/02 14:18:07 - mmengine - INFO - Epoch(train) [190][35/63] lr: 1.8536e-03 eta: 11:08:52 time: 0.5581 data_time: 0.0205 memory: 16395 loss: 2.5550 loss_prob: 1.5821 loss_thr: 0.7176 loss_db: 0.2553 2022/11/02 14:18:10 - mmengine - INFO - Epoch(train) [190][40/63] lr: 1.8536e-03 eta: 11:08:43 time: 0.5795 data_time: 0.0100 memory: 16395 loss: 2.4637 loss_prob: 1.5166 loss_thr: 0.7019 loss_db: 0.2452 2022/11/02 14:18:13 - mmengine - INFO - Epoch(train) [190][45/63] lr: 1.8536e-03 eta: 11:08:43 time: 0.6170 data_time: 0.0123 memory: 16395 loss: 2.3320 loss_prob: 1.4231 loss_thr: 0.6796 loss_db: 0.2292 2022/11/02 14:18:16 - mmengine - INFO - Epoch(train) [190][50/63] lr: 1.8536e-03 eta: 11:08:37 time: 0.6526 data_time: 0.0355 memory: 16395 loss: 2.2200 loss_prob: 1.3535 loss_thr: 0.6512 loss_db: 0.2152 2022/11/02 14:18:19 - mmengine - INFO - Epoch(train) [190][55/63] lr: 1.8536e-03 eta: 11:08:37 time: 0.6332 data_time: 0.0366 memory: 16395 loss: 2.2412 loss_prob: 1.3746 loss_thr: 0.6472 loss_db: 0.2194 2022/11/02 14:18:23 - mmengine - INFO - Epoch(train) [190][60/63] lr: 1.8536e-03 eta: 11:08:32 time: 0.6405 data_time: 0.0098 memory: 16395 loss: 2.3348 loss_prob: 1.4383 loss_thr: 0.6643 loss_db: 0.2322 2022/11/02 14:18:24 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:18:30 - mmengine - INFO - Epoch(train) [191][5/63] lr: 1.8520e-03 eta: 11:08:32 time: 0.9024 data_time: 0.2186 memory: 16395 loss: 2.7474 loss_prob: 1.7558 loss_thr: 0.6990 loss_db: 0.2926 2022/11/02 14:18:35 - mmengine - INFO - Epoch(train) [191][10/63] lr: 1.8520e-03 eta: 11:08:36 time: 1.0562 data_time: 0.2287 memory: 16395 loss: 2.3194 loss_prob: 1.4146 loss_thr: 0.6742 loss_db: 0.2307 2022/11/02 14:18:38 - mmengine - INFO - Epoch(train) [191][15/63] lr: 1.8520e-03 eta: 11:08:36 time: 0.7345 data_time: 0.0192 memory: 16395 loss: 2.2024 loss_prob: 1.3307 loss_thr: 0.6559 loss_db: 0.2158 2022/11/02 14:18:41 - mmengine - INFO - Epoch(train) [191][20/63] lr: 1.8520e-03 eta: 11:08:29 time: 0.6245 data_time: 0.0122 memory: 16395 loss: 2.1688 loss_prob: 1.2956 loss_thr: 0.6633 loss_db: 0.2099 2022/11/02 14:18:44 - mmengine - INFO - Epoch(train) [191][25/63] lr: 1.8520e-03 eta: 11:08:29 time: 0.6805 data_time: 0.0243 memory: 16395 loss: 2.3238 loss_prob: 1.4274 loss_thr: 0.6610 loss_db: 0.2354 2022/11/02 14:18:47 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:18:47 - mmengine - INFO - Epoch(train) [191][30/63] lr: 1.8520e-03 eta: 11:08:25 time: 0.6700 data_time: 0.0335 memory: 16395 loss: 2.6084 loss_prob: 1.6514 loss_thr: 0.6822 loss_db: 0.2748 2022/11/02 14:18:51 - mmengine - INFO - Epoch(train) [191][35/63] lr: 1.8520e-03 eta: 11:08:25 time: 0.6411 data_time: 0.0235 memory: 16395 loss: 2.7664 loss_prob: 1.7608 loss_thr: 0.7090 loss_db: 0.2966 2022/11/02 14:18:54 - mmengine - INFO - Epoch(train) [191][40/63] lr: 1.8520e-03 eta: 11:08:18 time: 0.6215 data_time: 0.0184 memory: 16395 loss: 2.7189 loss_prob: 1.7270 loss_thr: 0.7010 loss_db: 0.2908 2022/11/02 14:18:57 - mmengine - INFO - Epoch(train) [191][45/63] lr: 1.8520e-03 eta: 11:08:18 time: 0.6007 data_time: 0.0120 memory: 16395 loss: 2.6338 loss_prob: 1.6557 loss_thr: 0.7049 loss_db: 0.2732 2022/11/02 14:18:59 - mmengine - INFO - Epoch(train) [191][50/63] lr: 1.8520e-03 eta: 11:08:09 time: 0.5693 data_time: 0.0140 memory: 16395 loss: 2.6022 loss_prob: 1.6311 loss_thr: 0.6996 loss_db: 0.2715 2022/11/02 14:19:03 - mmengine - INFO - Epoch(train) [191][55/63] lr: 1.8520e-03 eta: 11:08:09 time: 0.5799 data_time: 0.0213 memory: 16395 loss: 2.6174 loss_prob: 1.6406 loss_thr: 0.6991 loss_db: 0.2777 2022/11/02 14:19:06 - mmengine - INFO - Epoch(train) [191][60/63] lr: 1.8520e-03 eta: 11:08:03 time: 0.6328 data_time: 0.0226 memory: 16395 loss: 2.4901 loss_prob: 1.5464 loss_thr: 0.6850 loss_db: 0.2586 2022/11/02 14:19:07 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:19:15 - mmengine - INFO - Epoch(train) [192][5/63] lr: 1.8503e-03 eta: 11:08:03 time: 1.0623 data_time: 0.2476 memory: 16395 loss: 2.3429 loss_prob: 1.4046 loss_thr: 0.7117 loss_db: 0.2267 2022/11/02 14:19:18 - mmengine - INFO - Epoch(train) [192][10/63] lr: 1.8503e-03 eta: 11:08:09 time: 1.0885 data_time: 0.2528 memory: 16395 loss: 2.3120 loss_prob: 1.3939 loss_thr: 0.6917 loss_db: 0.2264 2022/11/02 14:19:21 - mmengine - INFO - Epoch(train) [192][15/63] lr: 1.8503e-03 eta: 11:08:09 time: 0.6678 data_time: 0.0149 memory: 16395 loss: 2.5386 loss_prob: 1.5796 loss_thr: 0.6999 loss_db: 0.2591 2022/11/02 14:19:25 - mmengine - INFO - Epoch(train) [192][20/63] lr: 1.8503e-03 eta: 11:08:04 time: 0.6632 data_time: 0.0075 memory: 16395 loss: 2.4080 loss_prob: 1.4954 loss_thr: 0.6679 loss_db: 0.2447 2022/11/02 14:19:28 - mmengine - INFO - Epoch(train) [192][25/63] lr: 1.8503e-03 eta: 11:08:04 time: 0.6436 data_time: 0.0145 memory: 16395 loss: 2.1344 loss_prob: 1.2783 loss_thr: 0.6551 loss_db: 0.2010 2022/11/02 14:19:31 - mmengine - INFO - Epoch(train) [192][30/63] lr: 1.8503e-03 eta: 11:07:58 time: 0.6352 data_time: 0.0409 memory: 16395 loss: 2.2772 loss_prob: 1.3875 loss_thr: 0.6668 loss_db: 0.2229 2022/11/02 14:19:34 - mmengine - INFO - Epoch(train) [192][35/63] lr: 1.8503e-03 eta: 11:07:58 time: 0.6177 data_time: 0.0398 memory: 16395 loss: 2.3819 loss_prob: 1.4680 loss_thr: 0.6760 loss_db: 0.2379 2022/11/02 14:19:37 - mmengine - INFO - Epoch(train) [192][40/63] lr: 1.8503e-03 eta: 11:07:48 time: 0.5669 data_time: 0.0134 memory: 16395 loss: 2.4423 loss_prob: 1.4975 loss_thr: 0.7034 loss_db: 0.2414 2022/11/02 14:19:39 - mmengine - INFO - Epoch(train) [192][45/63] lr: 1.8503e-03 eta: 11:07:48 time: 0.5342 data_time: 0.0068 memory: 16395 loss: 2.5844 loss_prob: 1.6122 loss_thr: 0.7046 loss_db: 0.2676 2022/11/02 14:19:42 - mmengine - INFO - Epoch(train) [192][50/63] lr: 1.8503e-03 eta: 11:07:38 time: 0.5611 data_time: 0.0168 memory: 16395 loss: 2.7648 loss_prob: 1.7543 loss_thr: 0.7191 loss_db: 0.2914 2022/11/02 14:19:45 - mmengine - INFO - Epoch(train) [192][55/63] lr: 1.8503e-03 eta: 11:07:38 time: 0.5820 data_time: 0.0309 memory: 16395 loss: 2.5477 loss_prob: 1.5868 loss_thr: 0.7028 loss_db: 0.2581 2022/11/02 14:19:48 - mmengine - INFO - Epoch(train) [192][60/63] lr: 1.8503e-03 eta: 11:07:30 time: 0.5986 data_time: 0.0231 memory: 16395 loss: 2.3448 loss_prob: 1.4210 loss_thr: 0.6922 loss_db: 0.2315 2022/11/02 14:19:50 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:19:56 - mmengine - INFO - Epoch(train) [193][5/63] lr: 1.8487e-03 eta: 11:07:30 time: 0.9283 data_time: 0.2596 memory: 16395 loss: 2.3720 loss_prob: 1.4647 loss_thr: 0.6687 loss_db: 0.2386 2022/11/02 14:19:59 - mmengine - INFO - Epoch(train) [193][10/63] lr: 1.8487e-03 eta: 11:07:26 time: 0.8955 data_time: 0.2621 memory: 16395 loss: 2.3214 loss_prob: 1.4065 loss_thr: 0.6841 loss_db: 0.2307 2022/11/02 14:20:03 - mmengine - INFO - Epoch(train) [193][15/63] lr: 1.8487e-03 eta: 11:07:26 time: 0.6098 data_time: 0.0160 memory: 16395 loss: 2.4120 loss_prob: 1.4758 loss_thr: 0.6930 loss_db: 0.2431 2022/11/02 14:20:06 - mmengine - INFO - Epoch(train) [193][20/63] lr: 1.8487e-03 eta: 11:07:21 time: 0.6519 data_time: 0.0148 memory: 16395 loss: 2.3857 loss_prob: 1.4640 loss_thr: 0.6858 loss_db: 0.2359 2022/11/02 14:20:09 - mmengine - INFO - Epoch(train) [193][25/63] lr: 1.8487e-03 eta: 11:07:21 time: 0.6350 data_time: 0.0317 memory: 16395 loss: 2.4464 loss_prob: 1.5081 loss_thr: 0.6947 loss_db: 0.2435 2022/11/02 14:20:12 - mmengine - INFO - Epoch(train) [193][30/63] lr: 1.8487e-03 eta: 11:07:15 time: 0.6320 data_time: 0.0336 memory: 16395 loss: 2.4112 loss_prob: 1.4911 loss_thr: 0.6786 loss_db: 0.2415 2022/11/02 14:20:16 - mmengine - INFO - Epoch(train) [193][35/63] lr: 1.8487e-03 eta: 11:07:15 time: 0.6746 data_time: 0.0124 memory: 16395 loss: 2.3022 loss_prob: 1.4092 loss_thr: 0.6660 loss_db: 0.2270 2022/11/02 14:20:19 - mmengine - INFO - Epoch(train) [193][40/63] lr: 1.8487e-03 eta: 11:07:10 time: 0.6539 data_time: 0.0164 memory: 16395 loss: 2.4606 loss_prob: 1.5314 loss_thr: 0.6756 loss_db: 0.2535 2022/11/02 14:20:21 - mmengine - INFO - Epoch(train) [193][45/63] lr: 1.8487e-03 eta: 11:07:10 time: 0.5779 data_time: 0.0134 memory: 16395 loss: 2.4702 loss_prob: 1.5435 loss_thr: 0.6739 loss_db: 0.2528 2022/11/02 14:20:25 - mmengine - INFO - Epoch(train) [193][50/63] lr: 1.8487e-03 eta: 11:07:04 time: 0.6419 data_time: 0.0197 memory: 16395 loss: 2.2686 loss_prob: 1.3975 loss_thr: 0.6524 loss_db: 0.2187 2022/11/02 14:20:28 - mmengine - INFO - Epoch(train) [193][55/63] lr: 1.8487e-03 eta: 11:07:04 time: 0.6944 data_time: 0.0216 memory: 16395 loss: 2.4801 loss_prob: 1.5415 loss_thr: 0.6900 loss_db: 0.2487 2022/11/02 14:20:32 - mmengine - INFO - Epoch(train) [193][60/63] lr: 1.8487e-03 eta: 11:07:01 time: 0.6941 data_time: 0.0105 memory: 16395 loss: 2.6439 loss_prob: 1.6432 loss_thr: 0.7276 loss_db: 0.2731 2022/11/02 14:20:34 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:20:40 - mmengine - INFO - Epoch(train) [194][5/63] lr: 1.8470e-03 eta: 11:07:01 time: 1.0089 data_time: 0.2731 memory: 16395 loss: 2.4278 loss_prob: 1.4994 loss_thr: 0.6867 loss_db: 0.2417 2022/11/02 14:20:44 - mmengine - INFO - Epoch(train) [194][10/63] lr: 1.8470e-03 eta: 11:07:05 time: 1.0540 data_time: 0.2691 memory: 16395 loss: 2.2986 loss_prob: 1.3925 loss_thr: 0.6823 loss_db: 0.2238 2022/11/02 14:20:47 - mmengine - INFO - Epoch(train) [194][15/63] lr: 1.8470e-03 eta: 11:07:05 time: 0.6969 data_time: 0.0092 memory: 16395 loss: 2.2931 loss_prob: 1.4071 loss_thr: 0.6587 loss_db: 0.2273 2022/11/02 14:20:50 - mmengine - INFO - Epoch(train) [194][20/63] lr: 1.8470e-03 eta: 11:06:58 time: 0.6160 data_time: 0.0052 memory: 16395 loss: 2.4340 loss_prob: 1.5078 loss_thr: 0.6791 loss_db: 0.2471 2022/11/02 14:20:53 - mmengine - INFO - Epoch(train) [194][25/63] lr: 1.8470e-03 eta: 11:06:58 time: 0.6044 data_time: 0.0458 memory: 16395 loss: 2.3781 loss_prob: 1.4434 loss_thr: 0.6982 loss_db: 0.2364 2022/11/02 14:20:56 - mmengine - INFO - Epoch(train) [194][30/63] lr: 1.8470e-03 eta: 11:06:49 time: 0.5827 data_time: 0.0455 memory: 16395 loss: 2.3245 loss_prob: 1.3989 loss_thr: 0.7006 loss_db: 0.2250 2022/11/02 14:20:59 - mmengine - INFO - Epoch(train) [194][35/63] lr: 1.8470e-03 eta: 11:06:49 time: 0.5854 data_time: 0.0049 memory: 16395 loss: 2.3779 loss_prob: 1.4422 loss_thr: 0.6985 loss_db: 0.2372 2022/11/02 14:21:02 - mmengine - INFO - Epoch(train) [194][40/63] lr: 1.8470e-03 eta: 11:06:42 time: 0.6263 data_time: 0.0067 memory: 16395 loss: 2.2612 loss_prob: 1.3676 loss_thr: 0.6689 loss_db: 0.2247 2022/11/02 14:21:06 - mmengine - INFO - Epoch(train) [194][45/63] lr: 1.8470e-03 eta: 11:06:42 time: 0.6637 data_time: 0.0095 memory: 16395 loss: 2.3055 loss_prob: 1.4010 loss_thr: 0.6755 loss_db: 0.2291 2022/11/02 14:21:09 - mmengine - INFO - Epoch(train) [194][50/63] lr: 1.8470e-03 eta: 11:06:38 time: 0.6676 data_time: 0.0282 memory: 16395 loss: 2.3026 loss_prob: 1.4021 loss_thr: 0.6686 loss_db: 0.2319 2022/11/02 14:21:12 - mmengine - INFO - Epoch(train) [194][55/63] lr: 1.8470e-03 eta: 11:06:38 time: 0.6280 data_time: 0.0307 memory: 16395 loss: 2.3701 loss_prob: 1.4469 loss_thr: 0.6866 loss_db: 0.2366 2022/11/02 14:21:15 - mmengine - INFO - Epoch(train) [194][60/63] lr: 1.8470e-03 eta: 11:06:30 time: 0.5983 data_time: 0.0106 memory: 16395 loss: 2.3839 loss_prob: 1.4540 loss_thr: 0.6928 loss_db: 0.2371 2022/11/02 14:21:16 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:21:23 - mmengine - INFO - Epoch(train) [195][5/63] lr: 1.8454e-03 eta: 11:06:30 time: 0.8727 data_time: 0.2767 memory: 16395 loss: 2.4653 loss_prob: 1.5357 loss_thr: 0.6805 loss_db: 0.2492 2022/11/02 14:21:26 - mmengine - INFO - Epoch(train) [195][10/63] lr: 1.8454e-03 eta: 11:06:27 time: 0.9229 data_time: 0.2863 memory: 16395 loss: 2.5469 loss_prob: 1.6047 loss_thr: 0.6815 loss_db: 0.2607 2022/11/02 14:21:29 - mmengine - INFO - Epoch(train) [195][15/63] lr: 1.8454e-03 eta: 11:06:27 time: 0.5998 data_time: 0.0174 memory: 16395 loss: 2.6163 loss_prob: 1.6188 loss_thr: 0.7299 loss_db: 0.2676 2022/11/02 14:21:32 - mmengine - INFO - Epoch(train) [195][20/63] lr: 1.8454e-03 eta: 11:06:19 time: 0.5963 data_time: 0.0093 memory: 16395 loss: 2.6316 loss_prob: 1.6163 loss_thr: 0.7460 loss_db: 0.2692 2022/11/02 14:21:35 - mmengine - INFO - Epoch(train) [195][25/63] lr: 1.8454e-03 eta: 11:06:19 time: 0.6045 data_time: 0.0333 memory: 16395 loss: 2.3972 loss_prob: 1.4626 loss_thr: 0.6952 loss_db: 0.2393 2022/11/02 14:21:38 - mmengine - INFO - Epoch(train) [195][30/63] lr: 1.8454e-03 eta: 11:06:11 time: 0.6015 data_time: 0.0400 memory: 16395 loss: 2.4012 loss_prob: 1.4796 loss_thr: 0.6830 loss_db: 0.2387 2022/11/02 14:21:41 - mmengine - INFO - Epoch(train) [195][35/63] lr: 1.8454e-03 eta: 11:06:11 time: 0.6122 data_time: 0.0177 memory: 16395 loss: 2.4023 loss_prob: 1.4872 loss_thr: 0.6735 loss_db: 0.2416 2022/11/02 14:21:44 - mmengine - INFO - Epoch(train) [195][40/63] lr: 1.8454e-03 eta: 11:06:06 time: 0.6471 data_time: 0.0134 memory: 16395 loss: 2.1710 loss_prob: 1.3094 loss_thr: 0.6476 loss_db: 0.2140 2022/11/02 14:21:47 - mmengine - INFO - Epoch(train) [195][45/63] lr: 1.8454e-03 eta: 11:06:06 time: 0.5878 data_time: 0.0111 memory: 16395 loss: 2.3187 loss_prob: 1.4143 loss_thr: 0.6754 loss_db: 0.2290 2022/11/02 14:21:50 - mmengine - INFO - Epoch(train) [195][50/63] lr: 1.8454e-03 eta: 11:05:58 time: 0.6064 data_time: 0.0217 memory: 16395 loss: 2.4946 loss_prob: 1.5296 loss_thr: 0.7183 loss_db: 0.2467 2022/11/02 14:21:53 - mmengine - INFO - Epoch(train) [195][55/63] lr: 1.8454e-03 eta: 11:05:58 time: 0.6357 data_time: 0.0297 memory: 16395 loss: 2.3499 loss_prob: 1.4309 loss_thr: 0.6856 loss_db: 0.2335 2022/11/02 14:21:56 - mmengine - INFO - Epoch(train) [195][60/63] lr: 1.8454e-03 eta: 11:05:51 time: 0.6209 data_time: 0.0188 memory: 16395 loss: 2.2606 loss_prob: 1.3830 loss_thr: 0.6538 loss_db: 0.2238 2022/11/02 14:21:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:22:04 - mmengine - INFO - Epoch(train) [196][5/63] lr: 1.8437e-03 eta: 11:05:51 time: 0.9046 data_time: 0.2463 memory: 16395 loss: 2.2364 loss_prob: 1.3501 loss_thr: 0.6687 loss_db: 0.2176 2022/11/02 14:22:07 - mmengine - INFO - Epoch(train) [196][10/63] lr: 1.8437e-03 eta: 11:05:48 time: 0.9185 data_time: 0.2459 memory: 16395 loss: 2.4913 loss_prob: 1.5407 loss_thr: 0.6902 loss_db: 0.2604 2022/11/02 14:22:09 - mmengine - INFO - Epoch(train) [196][15/63] lr: 1.8437e-03 eta: 11:05:48 time: 0.5547 data_time: 0.0093 memory: 16395 loss: 2.5767 loss_prob: 1.5997 loss_thr: 0.7019 loss_db: 0.2750 2022/11/02 14:22:13 - mmengine - INFO - Epoch(train) [196][20/63] lr: 1.8437e-03 eta: 11:05:39 time: 0.5779 data_time: 0.0096 memory: 16395 loss: 2.5987 loss_prob: 1.6272 loss_thr: 0.7016 loss_db: 0.2699 2022/11/02 14:22:16 - mmengine - INFO - Epoch(train) [196][25/63] lr: 1.8437e-03 eta: 11:05:39 time: 0.6474 data_time: 0.0403 memory: 16395 loss: 2.6994 loss_prob: 1.7034 loss_thr: 0.7189 loss_db: 0.2772 2022/11/02 14:22:19 - mmengine - INFO - Epoch(train) [196][30/63] lr: 1.8437e-03 eta: 11:05:34 time: 0.6525 data_time: 0.0594 memory: 16395 loss: 2.5009 loss_prob: 1.5419 loss_thr: 0.7105 loss_db: 0.2485 2022/11/02 14:22:23 - mmengine - INFO - Epoch(train) [196][35/63] lr: 1.8437e-03 eta: 11:05:34 time: 0.6586 data_time: 0.0285 memory: 16395 loss: 2.4526 loss_prob: 1.5092 loss_thr: 0.6974 loss_db: 0.2460 2022/11/02 14:22:26 - mmengine - INFO - Epoch(train) [196][40/63] lr: 1.8437e-03 eta: 11:05:29 time: 0.6530 data_time: 0.0067 memory: 16395 loss: 2.3584 loss_prob: 1.4486 loss_thr: 0.6713 loss_db: 0.2386 2022/11/02 14:22:29 - mmengine - INFO - Epoch(train) [196][45/63] lr: 1.8437e-03 eta: 11:05:29 time: 0.6625 data_time: 0.0087 memory: 16395 loss: 2.0985 loss_prob: 1.2667 loss_thr: 0.6275 loss_db: 0.2044 2022/11/02 14:22:32 - mmengine - INFO - Epoch(train) [196][50/63] lr: 1.8437e-03 eta: 11:05:23 time: 0.6404 data_time: 0.0271 memory: 16395 loss: 2.1663 loss_prob: 1.2951 loss_thr: 0.6700 loss_db: 0.2011 2022/11/02 14:22:35 - mmengine - INFO - Epoch(train) [196][55/63] lr: 1.8437e-03 eta: 11:05:23 time: 0.6079 data_time: 0.0293 memory: 16395 loss: 2.2394 loss_prob: 1.3394 loss_thr: 0.6898 loss_db: 0.2102 2022/11/02 14:22:38 - mmengine - INFO - Epoch(train) [196][60/63] lr: 1.8437e-03 eta: 11:05:13 time: 0.5719 data_time: 0.0123 memory: 16395 loss: 2.4778 loss_prob: 1.5404 loss_thr: 0.6919 loss_db: 0.2455 2022/11/02 14:22:39 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:22:45 - mmengine - INFO - Epoch(train) [197][5/63] lr: 1.8421e-03 eta: 11:05:13 time: 0.8009 data_time: 0.2390 memory: 16395 loss: 2.4190 loss_prob: 1.5260 loss_thr: 0.6438 loss_db: 0.2491 2022/11/02 14:22:47 - mmengine - INFO - Epoch(train) [197][10/63] lr: 1.8421e-03 eta: 11:05:04 time: 0.7904 data_time: 0.2360 memory: 16395 loss: 2.3870 loss_prob: 1.4785 loss_thr: 0.6603 loss_db: 0.2482 2022/11/02 14:22:51 - mmengine - INFO - Epoch(train) [197][15/63] lr: 1.8421e-03 eta: 11:05:04 time: 0.5849 data_time: 0.0110 memory: 16395 loss: 2.5216 loss_prob: 1.5701 loss_thr: 0.6923 loss_db: 0.2592 2022/11/02 14:22:53 - mmengine - INFO - Epoch(train) [197][20/63] lr: 1.8421e-03 eta: 11:04:56 time: 0.5965 data_time: 0.0103 memory: 16395 loss: 2.3924 loss_prob: 1.4845 loss_thr: 0.6680 loss_db: 0.2399 2022/11/02 14:22:57 - mmengine - INFO - Epoch(train) [197][25/63] lr: 1.8421e-03 eta: 11:04:56 time: 0.5889 data_time: 0.0119 memory: 16395 loss: 2.5953 loss_prob: 1.6396 loss_thr: 0.6898 loss_db: 0.2659 2022/11/02 14:23:00 - mmengine - INFO - Epoch(train) [197][30/63] lr: 1.8421e-03 eta: 11:04:50 time: 0.6335 data_time: 0.0358 memory: 16395 loss: 2.8088 loss_prob: 1.7963 loss_thr: 0.7173 loss_db: 0.2952 2022/11/02 14:23:02 - mmengine - INFO - Epoch(train) [197][35/63] lr: 1.8421e-03 eta: 11:04:50 time: 0.5892 data_time: 0.0380 memory: 16395 loss: 2.4269 loss_prob: 1.5100 loss_thr: 0.6740 loss_db: 0.2430 2022/11/02 14:23:05 - mmengine - INFO - Epoch(train) [197][40/63] lr: 1.8421e-03 eta: 11:04:39 time: 0.5408 data_time: 0.0153 memory: 16395 loss: 2.1487 loss_prob: 1.3002 loss_thr: 0.6430 loss_db: 0.2055 2022/11/02 14:23:08 - mmengine - INFO - Epoch(train) [197][45/63] lr: 1.8421e-03 eta: 11:04:39 time: 0.5522 data_time: 0.0104 memory: 16395 loss: 2.3096 loss_prob: 1.4055 loss_thr: 0.6745 loss_db: 0.2296 2022/11/02 14:23:11 - mmengine - INFO - Epoch(train) [197][50/63] lr: 1.8421e-03 eta: 11:04:30 time: 0.5869 data_time: 0.0252 memory: 16395 loss: 2.2218 loss_prob: 1.3412 loss_thr: 0.6629 loss_db: 0.2176 2022/11/02 14:23:14 - mmengine - INFO - Epoch(train) [197][55/63] lr: 1.8421e-03 eta: 11:04:30 time: 0.6036 data_time: 0.0326 memory: 16395 loss: 2.2238 loss_prob: 1.3535 loss_thr: 0.6520 loss_db: 0.2183 2022/11/02 14:23:17 - mmengine - INFO - Epoch(train) [197][60/63] lr: 1.8421e-03 eta: 11:04:21 time: 0.5835 data_time: 0.0179 memory: 16395 loss: 2.3017 loss_prob: 1.4048 loss_thr: 0.6707 loss_db: 0.2262 2022/11/02 14:23:18 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:23:24 - mmengine - INFO - Epoch(train) [198][5/63] lr: 1.8404e-03 eta: 11:04:21 time: 0.8773 data_time: 0.2552 memory: 16395 loss: 2.2046 loss_prob: 1.3480 loss_thr: 0.6411 loss_db: 0.2155 2022/11/02 14:23:28 - mmengine - INFO - Epoch(train) [198][10/63] lr: 1.8404e-03 eta: 11:04:18 time: 0.9129 data_time: 0.2544 memory: 16395 loss: 2.1860 loss_prob: 1.3281 loss_thr: 0.6459 loss_db: 0.2120 2022/11/02 14:23:30 - mmengine - INFO - Epoch(train) [198][15/63] lr: 1.8404e-03 eta: 11:04:18 time: 0.6070 data_time: 0.0145 memory: 16395 loss: 2.1322 loss_prob: 1.2921 loss_thr: 0.6393 loss_db: 0.2008 2022/11/02 14:23:33 - mmengine - INFO - Epoch(train) [198][20/63] lr: 1.8404e-03 eta: 11:04:09 time: 0.5838 data_time: 0.0087 memory: 16395 loss: 2.2678 loss_prob: 1.3952 loss_thr: 0.6486 loss_db: 0.2241 2022/11/02 14:23:36 - mmengine - INFO - Epoch(train) [198][25/63] lr: 1.8404e-03 eta: 11:04:09 time: 0.5859 data_time: 0.0121 memory: 16395 loss: 2.5001 loss_prob: 1.5557 loss_thr: 0.6886 loss_db: 0.2559 2022/11/02 14:23:39 - mmengine - INFO - Epoch(train) [198][30/63] lr: 1.8404e-03 eta: 11:04:02 time: 0.6071 data_time: 0.0346 memory: 16395 loss: 2.5274 loss_prob: 1.5731 loss_thr: 0.7001 loss_db: 0.2542 2022/11/02 14:23:42 - mmengine - INFO - Epoch(train) [198][35/63] lr: 1.8404e-03 eta: 11:04:02 time: 0.6159 data_time: 0.0334 memory: 16395 loss: 2.4231 loss_prob: 1.4948 loss_thr: 0.6848 loss_db: 0.2435 2022/11/02 14:23:45 - mmengine - INFO - Epoch(train) [198][40/63] lr: 1.8404e-03 eta: 11:03:53 time: 0.5837 data_time: 0.0131 memory: 16395 loss: 2.5187 loss_prob: 1.5631 loss_thr: 0.6935 loss_db: 0.2621 2022/11/02 14:23:48 - mmengine - INFO - Epoch(train) [198][45/63] lr: 1.8404e-03 eta: 11:03:53 time: 0.5849 data_time: 0.0126 memory: 16395 loss: 2.6705 loss_prob: 1.6940 loss_thr: 0.6918 loss_db: 0.2848 2022/11/02 14:23:51 - mmengine - INFO - Epoch(train) [198][50/63] lr: 1.8404e-03 eta: 11:03:45 time: 0.5913 data_time: 0.0183 memory: 16395 loss: 2.4672 loss_prob: 1.5389 loss_thr: 0.6731 loss_db: 0.2552 2022/11/02 14:23:54 - mmengine - INFO - Epoch(train) [198][55/63] lr: 1.8404e-03 eta: 11:03:45 time: 0.5856 data_time: 0.0250 memory: 16395 loss: 2.4713 loss_prob: 1.5315 loss_thr: 0.6896 loss_db: 0.2502 2022/11/02 14:23:58 - mmengine - INFO - Epoch(train) [198][60/63] lr: 1.8404e-03 eta: 11:03:39 time: 0.6371 data_time: 0.0229 memory: 16395 loss: 2.5113 loss_prob: 1.5625 loss_thr: 0.6954 loss_db: 0.2534 2022/11/02 14:23:59 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:24:06 - mmengine - INFO - Epoch(train) [199][5/63] lr: 1.8388e-03 eta: 11:03:39 time: 0.9480 data_time: 0.2600 memory: 16395 loss: 2.7097 loss_prob: 1.7059 loss_thr: 0.7097 loss_db: 0.2940 2022/11/02 14:24:10 - mmengine - INFO - Epoch(train) [199][10/63] lr: 1.8388e-03 eta: 11:03:42 time: 1.0466 data_time: 0.2594 memory: 16395 loss: 2.4344 loss_prob: 1.5100 loss_thr: 0.6751 loss_db: 0.2494 2022/11/02 14:24:13 - mmengine - INFO - Epoch(train) [199][15/63] lr: 1.8388e-03 eta: 11:03:42 time: 0.6962 data_time: 0.0157 memory: 16395 loss: 2.3541 loss_prob: 1.4543 loss_thr: 0.6688 loss_db: 0.2310 2022/11/02 14:24:15 - mmengine - INFO - Epoch(train) [199][20/63] lr: 1.8388e-03 eta: 11:03:33 time: 0.5869 data_time: 0.0159 memory: 16395 loss: 2.3559 loss_prob: 1.4501 loss_thr: 0.6769 loss_db: 0.2290 2022/11/02 14:24:18 - mmengine - INFO - Epoch(train) [199][25/63] lr: 1.8388e-03 eta: 11:03:33 time: 0.5739 data_time: 0.0163 memory: 16395 loss: 2.4119 loss_prob: 1.4749 loss_thr: 0.6964 loss_db: 0.2406 2022/11/02 14:24:22 - mmengine - INFO - Epoch(train) [199][30/63] lr: 1.8388e-03 eta: 11:03:27 time: 0.6315 data_time: 0.0357 memory: 16395 loss: 2.4582 loss_prob: 1.5048 loss_thr: 0.7071 loss_db: 0.2463 2022/11/02 14:24:25 - mmengine - INFO - Epoch(train) [199][35/63] lr: 1.8388e-03 eta: 11:03:27 time: 0.6778 data_time: 0.0269 memory: 16395 loss: 2.2999 loss_prob: 1.3888 loss_thr: 0.6873 loss_db: 0.2238 2022/11/02 14:24:28 - mmengine - INFO - Epoch(train) [199][40/63] lr: 1.8388e-03 eta: 11:03:21 time: 0.6449 data_time: 0.0131 memory: 16395 loss: 2.3401 loss_prob: 1.4200 loss_thr: 0.6915 loss_db: 0.2287 2022/11/02 14:24:31 - mmengine - INFO - Epoch(train) [199][45/63] lr: 1.8388e-03 eta: 11:03:21 time: 0.5810 data_time: 0.0156 memory: 16395 loss: 2.2188 loss_prob: 1.3499 loss_thr: 0.6550 loss_db: 0.2139 2022/11/02 14:24:34 - mmengine - INFO - Epoch(train) [199][50/63] lr: 1.8388e-03 eta: 11:03:15 time: 0.6210 data_time: 0.0233 memory: 16395 loss: 2.0896 loss_prob: 1.2688 loss_thr: 0.6179 loss_db: 0.2029 2022/11/02 14:24:37 - mmengine - INFO - Epoch(train) [199][55/63] lr: 1.8388e-03 eta: 11:03:15 time: 0.6421 data_time: 0.0347 memory: 16395 loss: 2.2948 loss_prob: 1.4124 loss_thr: 0.6563 loss_db: 0.2261 2022/11/02 14:24:40 - mmengine - INFO - Epoch(train) [199][60/63] lr: 1.8388e-03 eta: 11:03:07 time: 0.6012 data_time: 0.0206 memory: 16395 loss: 2.3847 loss_prob: 1.4765 loss_thr: 0.6734 loss_db: 0.2348 2022/11/02 14:24:42 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:24:50 - mmengine - INFO - Epoch(train) [200][5/63] lr: 1.8371e-03 eta: 11:03:07 time: 1.0664 data_time: 0.2216 memory: 16395 loss: 2.2734 loss_prob: 1.3932 loss_thr: 0.6594 loss_db: 0.2207 2022/11/02 14:24:53 - mmengine - INFO - Epoch(train) [200][10/63] lr: 1.8371e-03 eta: 11:03:14 time: 1.1277 data_time: 0.2390 memory: 16395 loss: 2.1370 loss_prob: 1.2831 loss_thr: 0.6534 loss_db: 0.2005 2022/11/02 14:24:57 - mmengine - INFO - Epoch(train) [200][15/63] lr: 1.8371e-03 eta: 11:03:14 time: 0.6653 data_time: 0.0317 memory: 16395 loss: 2.3488 loss_prob: 1.4416 loss_thr: 0.6729 loss_db: 0.2343 2022/11/02 14:24:59 - mmengine - INFO - Epoch(train) [200][20/63] lr: 1.8371e-03 eta: 11:03:07 time: 0.6161 data_time: 0.0156 memory: 16395 loss: 2.4923 loss_prob: 1.5422 loss_thr: 0.6949 loss_db: 0.2551 2022/11/02 14:25:02 - mmengine - INFO - Epoch(train) [200][25/63] lr: 1.8371e-03 eta: 11:03:07 time: 0.5868 data_time: 0.0137 memory: 16395 loss: 2.4422 loss_prob: 1.5084 loss_thr: 0.6868 loss_db: 0.2471 2022/11/02 14:25:06 - mmengine - INFO - Epoch(train) [200][30/63] lr: 1.8371e-03 eta: 11:03:00 time: 0.6203 data_time: 0.0392 memory: 16395 loss: 2.6468 loss_prob: 1.6691 loss_thr: 0.6987 loss_db: 0.2789 2022/11/02 14:25:09 - mmengine - INFO - Epoch(train) [200][35/63] lr: 1.8371e-03 eta: 11:03:00 time: 0.6201 data_time: 0.0357 memory: 16395 loss: 2.6274 loss_prob: 1.6438 loss_thr: 0.7061 loss_db: 0.2775 2022/11/02 14:25:12 - mmengine - INFO - Epoch(train) [200][40/63] lr: 1.8371e-03 eta: 11:02:54 time: 0.6360 data_time: 0.0158 memory: 16395 loss: 2.3667 loss_prob: 1.4482 loss_thr: 0.6830 loss_db: 0.2355 2022/11/02 14:25:15 - mmengine - INFO - Epoch(train) [200][45/63] lr: 1.8371e-03 eta: 11:02:54 time: 0.6066 data_time: 0.0181 memory: 16395 loss: 2.4776 loss_prob: 1.5309 loss_thr: 0.7011 loss_db: 0.2456 2022/11/02 14:25:18 - mmengine - INFO - Epoch(train) [200][50/63] lr: 1.8371e-03 eta: 11:02:45 time: 0.5731 data_time: 0.0181 memory: 16395 loss: 2.4171 loss_prob: 1.4918 loss_thr: 0.6826 loss_db: 0.2428 2022/11/02 14:25:21 - mmengine - INFO - Epoch(train) [200][55/63] lr: 1.8371e-03 eta: 11:02:45 time: 0.6000 data_time: 0.0233 memory: 16395 loss: 2.2212 loss_prob: 1.3597 loss_thr: 0.6421 loss_db: 0.2194 2022/11/02 14:25:24 - mmengine - INFO - Epoch(train) [200][60/63] lr: 1.8371e-03 eta: 11:02:37 time: 0.5955 data_time: 0.0162 memory: 16395 loss: 2.3864 loss_prob: 1.4829 loss_thr: 0.6646 loss_db: 0.2389 2022/11/02 14:25:25 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:25:25 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/11/02 14:25:29 - mmengine - INFO - Epoch(val) [200][5/500] eta: 11:02:37 time: 0.0586 data_time: 0.0070 memory: 16395 2022/11/02 14:25:29 - mmengine - INFO - Epoch(val) [200][10/500] eta: 0:00:27 time: 0.0554 data_time: 0.0066 memory: 1013 2022/11/02 14:25:30 - mmengine - INFO - Epoch(val) [200][15/500] eta: 0:00:27 time: 0.0464 data_time: 0.0031 memory: 1013 2022/11/02 14:25:30 - mmengine - INFO - Epoch(val) [200][20/500] eta: 0:00:20 time: 0.0428 data_time: 0.0030 memory: 1013 2022/11/02 14:25:30 - mmengine - INFO - Epoch(val) [200][25/500] eta: 0:00:20 time: 0.0444 data_time: 0.0035 memory: 1013 2022/11/02 14:25:30 - mmengine - INFO - Epoch(val) [200][30/500] eta: 0:00:23 time: 0.0498 data_time: 0.0037 memory: 1013 2022/11/02 14:25:31 - mmengine - INFO - Epoch(val) [200][35/500] eta: 0:00:23 time: 0.0499 data_time: 0.0034 memory: 1013 2022/11/02 14:25:31 - mmengine - INFO - Epoch(val) [200][40/500] eta: 0:00:22 time: 0.0482 data_time: 0.0034 memory: 1013 2022/11/02 14:25:31 - mmengine - INFO - Epoch(val) [200][45/500] eta: 0:00:22 time: 0.0460 data_time: 0.0030 memory: 1013 2022/11/02 14:25:32 - mmengine - INFO - Epoch(val) [200][50/500] eta: 0:00:50 time: 0.1127 data_time: 0.0708 memory: 1013 2022/11/02 14:25:32 - mmengine - INFO - Epoch(val) [200][55/500] eta: 0:00:50 time: 0.1130 data_time: 0.0705 memory: 1013 2022/11/02 14:25:32 - mmengine - INFO - Epoch(val) [200][60/500] eta: 0:00:18 time: 0.0425 data_time: 0.0027 memory: 1013 2022/11/02 14:25:33 - mmengine - INFO - Epoch(val) [200][65/500] eta: 0:00:18 time: 0.0468 data_time: 0.0034 memory: 1013 2022/11/02 14:25:33 - mmengine - INFO - Epoch(val) [200][70/500] eta: 0:00:21 time: 0.0492 data_time: 0.0030 memory: 1013 2022/11/02 14:25:33 - mmengine - INFO - Epoch(val) [200][75/500] eta: 0:00:21 time: 0.0445 data_time: 0.0027 memory: 1013 2022/11/02 14:25:34 - mmengine - INFO - Epoch(val) [200][80/500] eta: 0:00:40 time: 0.0973 data_time: 0.0552 memory: 1013 2022/11/02 14:25:34 - mmengine - INFO - Epoch(val) [200][85/500] eta: 0:00:40 time: 0.0945 data_time: 0.0549 memory: 1013 2022/11/02 14:25:34 - mmengine - INFO - Epoch(val) [200][90/500] eta: 0:00:17 time: 0.0419 data_time: 0.0024 memory: 1013 2022/11/02 14:25:35 - mmengine - INFO - Epoch(val) [200][95/500] eta: 0:00:17 time: 0.0472 data_time: 0.0029 memory: 1013 2022/11/02 14:25:35 - mmengine - INFO - Epoch(val) [200][100/500] eta: 0:00:18 time: 0.0452 data_time: 0.0029 memory: 1013 2022/11/02 14:25:35 - mmengine - INFO - Epoch(val) [200][105/500] eta: 0:00:18 time: 0.0435 data_time: 0.0029 memory: 1013 2022/11/02 14:25:35 - mmengine - INFO - Epoch(val) [200][110/500] eta: 0:00:16 time: 0.0426 data_time: 0.0030 memory: 1013 2022/11/02 14:25:35 - mmengine - INFO - Epoch(val) [200][115/500] eta: 0:00:16 time: 0.0474 data_time: 0.0038 memory: 1013 2022/11/02 14:25:36 - mmengine - INFO - Epoch(val) [200][120/500] eta: 0:00:20 time: 0.0529 data_time: 0.0041 memory: 1013 2022/11/02 14:25:36 - mmengine - INFO - Epoch(val) [200][125/500] eta: 0:00:20 time: 0.0514 data_time: 0.0037 memory: 1013 2022/11/02 14:25:36 - mmengine - INFO - Epoch(val) [200][130/500] eta: 0:00:17 time: 0.0486 data_time: 0.0036 memory: 1013 2022/11/02 14:25:36 - mmengine - INFO - Epoch(val) [200][135/500] eta: 0:00:17 time: 0.0446 data_time: 0.0032 memory: 1013 2022/11/02 14:25:37 - mmengine - INFO - Epoch(val) [200][140/500] eta: 0:00:15 time: 0.0431 data_time: 0.0030 memory: 1013 2022/11/02 14:25:37 - mmengine - INFO - Epoch(val) [200][145/500] eta: 0:00:15 time: 0.0447 data_time: 0.0029 memory: 1013 2022/11/02 14:25:37 - mmengine - INFO - Epoch(val) [200][150/500] eta: 0:00:15 time: 0.0453 data_time: 0.0029 memory: 1013 2022/11/02 14:25:37 - mmengine - INFO - Epoch(val) [200][155/500] eta: 0:00:15 time: 0.0511 data_time: 0.0034 memory: 1013 2022/11/02 14:25:38 - mmengine - INFO - Epoch(val) [200][160/500] eta: 0:00:17 time: 0.0513 data_time: 0.0033 memory: 1013 2022/11/02 14:25:38 - mmengine - INFO - Epoch(val) [200][165/500] eta: 0:00:17 time: 0.0520 data_time: 0.0042 memory: 1013 2022/11/02 14:25:38 - mmengine - INFO - Epoch(val) [200][170/500] eta: 0:00:18 time: 0.0552 data_time: 0.0047 memory: 1013 2022/11/02 14:25:38 - mmengine - INFO - Epoch(val) [200][175/500] eta: 0:00:18 time: 0.0460 data_time: 0.0036 memory: 1013 2022/11/02 14:25:39 - mmengine - INFO - Epoch(val) [200][180/500] eta: 0:00:13 time: 0.0420 data_time: 0.0029 memory: 1013 2022/11/02 14:25:39 - mmengine - INFO - Epoch(val) [200][185/500] eta: 0:00:13 time: 0.0461 data_time: 0.0027 memory: 1013 2022/11/02 14:25:39 - mmengine - INFO - Epoch(val) [200][190/500] eta: 0:00:16 time: 0.0525 data_time: 0.0030 memory: 1013 2022/11/02 14:25:39 - mmengine - INFO - Epoch(val) [200][195/500] eta: 0:00:16 time: 0.0506 data_time: 0.0032 memory: 1013 2022/11/02 14:25:40 - mmengine - INFO - Epoch(val) [200][200/500] eta: 0:00:18 time: 0.0602 data_time: 0.0038 memory: 1013 2022/11/02 14:25:40 - mmengine - INFO - Epoch(val) [200][205/500] eta: 0:00:18 time: 0.0635 data_time: 0.0042 memory: 1013 2022/11/02 14:25:40 - mmengine - INFO - Epoch(val) [200][210/500] eta: 0:00:14 time: 0.0509 data_time: 0.0040 memory: 1013 2022/11/02 14:25:40 - mmengine - INFO - Epoch(val) [200][215/500] eta: 0:00:14 time: 0.0496 data_time: 0.0033 memory: 1013 2022/11/02 14:25:41 - mmengine - INFO - Epoch(val) [200][220/500] eta: 0:00:13 time: 0.0473 data_time: 0.0030 memory: 1013 2022/11/02 14:25:41 - mmengine - INFO - Epoch(val) [200][225/500] eta: 0:00:13 time: 0.0472 data_time: 0.0029 memory: 1013 2022/11/02 14:25:41 - mmengine - INFO - Epoch(val) [200][230/500] eta: 0:00:12 time: 0.0456 data_time: 0.0028 memory: 1013 2022/11/02 14:25:41 - mmengine - INFO - Epoch(val) [200][235/500] eta: 0:00:12 time: 0.0432 data_time: 0.0028 memory: 1013 2022/11/02 14:25:42 - mmengine - INFO - Epoch(val) [200][240/500] eta: 0:00:12 time: 0.0484 data_time: 0.0028 memory: 1013 2022/11/02 14:25:42 - mmengine - INFO - Epoch(val) [200][245/500] eta: 0:00:12 time: 0.0517 data_time: 0.0031 memory: 1013 2022/11/02 14:25:42 - mmengine - INFO - Epoch(val) [200][250/500] eta: 0:00:12 time: 0.0502 data_time: 0.0032 memory: 1013 2022/11/02 14:25:42 - mmengine - INFO - Epoch(val) [200][255/500] eta: 0:00:12 time: 0.0462 data_time: 0.0029 memory: 1013 2022/11/02 14:25:43 - mmengine - INFO - Epoch(val) [200][260/500] eta: 0:00:10 time: 0.0436 data_time: 0.0031 memory: 1013 2022/11/02 14:25:43 - mmengine - INFO - Epoch(val) [200][265/500] eta: 0:00:10 time: 0.0456 data_time: 0.0033 memory: 1013 2022/11/02 14:25:43 - mmengine - INFO - Epoch(val) [200][270/500] eta: 0:00:10 time: 0.0455 data_time: 0.0029 memory: 1013 2022/11/02 14:25:43 - mmengine - INFO - Epoch(val) [200][275/500] eta: 0:00:10 time: 0.0469 data_time: 0.0028 memory: 1013 2022/11/02 14:25:44 - mmengine - INFO - Epoch(val) [200][280/500] eta: 0:00:10 time: 0.0492 data_time: 0.0031 memory: 1013 2022/11/02 14:25:44 - mmengine - INFO - Epoch(val) [200][285/500] eta: 0:00:10 time: 0.0458 data_time: 0.0035 memory: 1013 2022/11/02 14:25:44 - mmengine - INFO - Epoch(val) [200][290/500] eta: 0:00:09 time: 0.0435 data_time: 0.0034 memory: 1013 2022/11/02 14:25:44 - mmengine - INFO - Epoch(val) [200][295/500] eta: 0:00:09 time: 0.0454 data_time: 0.0028 memory: 1013 2022/11/02 14:25:44 - mmengine - INFO - Epoch(val) [200][300/500] eta: 0:00:08 time: 0.0449 data_time: 0.0028 memory: 1013 2022/11/02 14:25:45 - mmengine - INFO - Epoch(val) [200][305/500] eta: 0:00:08 time: 0.0417 data_time: 0.0027 memory: 1013 2022/11/02 14:25:45 - mmengine - INFO - Epoch(val) [200][310/500] eta: 0:00:08 time: 0.0439 data_time: 0.0029 memory: 1013 2022/11/02 14:25:45 - mmengine - INFO - Epoch(val) [200][315/500] eta: 0:00:08 time: 0.0474 data_time: 0.0029 memory: 1013 2022/11/02 14:25:45 - mmengine - INFO - Epoch(val) [200][320/500] eta: 0:00:07 time: 0.0443 data_time: 0.0027 memory: 1013 2022/11/02 14:25:46 - mmengine - INFO - Epoch(val) [200][325/500] eta: 0:00:07 time: 0.0606 data_time: 0.0032 memory: 1013 2022/11/02 14:25:46 - mmengine - INFO - Epoch(val) [200][330/500] eta: 0:00:10 time: 0.0597 data_time: 0.0033 memory: 1013 2022/11/02 14:25:46 - mmengine - INFO - Epoch(val) [200][335/500] eta: 0:00:10 time: 0.0391 data_time: 0.0030 memory: 1013 2022/11/02 14:25:46 - mmengine - INFO - Epoch(val) [200][340/500] eta: 0:00:07 time: 0.0500 data_time: 0.0030 memory: 1013 2022/11/02 14:25:47 - mmengine - INFO - Epoch(val) [200][345/500] eta: 0:00:07 time: 0.0507 data_time: 0.0029 memory: 1013 2022/11/02 14:25:47 - mmengine - INFO - Epoch(val) [200][350/500] eta: 0:00:06 time: 0.0445 data_time: 0.0029 memory: 1013 2022/11/02 14:25:47 - mmengine - INFO - Epoch(val) [200][355/500] eta: 0:00:06 time: 0.0446 data_time: 0.0030 memory: 1013 2022/11/02 14:25:47 - mmengine - INFO - Epoch(val) [200][360/500] eta: 0:00:06 time: 0.0435 data_time: 0.0029 memory: 1013 2022/11/02 14:25:47 - mmengine - INFO - Epoch(val) [200][365/500] eta: 0:00:06 time: 0.0438 data_time: 0.0029 memory: 1013 2022/11/02 14:25:48 - mmengine - INFO - Epoch(val) [200][370/500] eta: 0:00:05 time: 0.0395 data_time: 0.0026 memory: 1013 2022/11/02 14:25:48 - mmengine - INFO - Epoch(val) [200][375/500] eta: 0:00:05 time: 0.0419 data_time: 0.0027 memory: 1013 2022/11/02 14:25:48 - mmengine - INFO - Epoch(val) [200][380/500] eta: 0:00:05 time: 0.0486 data_time: 0.0031 memory: 1013 2022/11/02 14:25:48 - mmengine - INFO - Epoch(val) [200][385/500] eta: 0:00:05 time: 0.0483 data_time: 0.0033 memory: 1013 2022/11/02 14:25:49 - mmengine - INFO - Epoch(val) [200][390/500] eta: 0:00:04 time: 0.0440 data_time: 0.0030 memory: 1013 2022/11/02 14:25:49 - mmengine - INFO - Epoch(val) [200][395/500] eta: 0:00:04 time: 0.0438 data_time: 0.0029 memory: 1013 2022/11/02 14:25:49 - mmengine - INFO - Epoch(val) [200][400/500] eta: 0:00:04 time: 0.0438 data_time: 0.0028 memory: 1013 2022/11/02 14:25:49 - mmengine - INFO - Epoch(val) [200][405/500] eta: 0:00:04 time: 0.0451 data_time: 0.0027 memory: 1013 2022/11/02 14:25:50 - mmengine - INFO - Epoch(val) [200][410/500] eta: 0:00:04 time: 0.0464 data_time: 0.0027 memory: 1013 2022/11/02 14:25:50 - mmengine - INFO - Epoch(val) [200][415/500] eta: 0:00:04 time: 0.0428 data_time: 0.0025 memory: 1013 2022/11/02 14:25:50 - mmengine - INFO - Epoch(val) [200][420/500] eta: 0:00:03 time: 0.0394 data_time: 0.0026 memory: 1013 2022/11/02 14:25:50 - mmengine - INFO - Epoch(val) [200][425/500] eta: 0:00:03 time: 0.0411 data_time: 0.0027 memory: 1013 2022/11/02 14:25:50 - mmengine - INFO - Epoch(val) [200][430/500] eta: 0:00:03 time: 0.0432 data_time: 0.0026 memory: 1013 2022/11/02 14:25:51 - mmengine - INFO - Epoch(val) [200][435/500] eta: 0:00:03 time: 0.0427 data_time: 0.0026 memory: 1013 2022/11/02 14:25:51 - mmengine - INFO - Epoch(val) [200][440/500] eta: 0:00:02 time: 0.0445 data_time: 0.0029 memory: 1013 2022/11/02 14:25:51 - mmengine - INFO - Epoch(val) [200][445/500] eta: 0:00:02 time: 0.0461 data_time: 0.0029 memory: 1013 2022/11/02 14:25:51 - mmengine - INFO - Epoch(val) [200][450/500] eta: 0:00:02 time: 0.0467 data_time: 0.0027 memory: 1013 2022/11/02 14:25:51 - mmengine - INFO - Epoch(val) [200][455/500] eta: 0:00:02 time: 0.0465 data_time: 0.0029 memory: 1013 2022/11/02 14:25:52 - mmengine - INFO - Epoch(val) [200][460/500] eta: 0:00:01 time: 0.0441 data_time: 0.0030 memory: 1013 2022/11/02 14:25:52 - mmengine - INFO - Epoch(val) [200][465/500] eta: 0:00:01 time: 0.0429 data_time: 0.0029 memory: 1013 2022/11/02 14:25:52 - mmengine - INFO - Epoch(val) [200][470/500] eta: 0:00:01 time: 0.0420 data_time: 0.0029 memory: 1013 2022/11/02 14:25:52 - mmengine - INFO - Epoch(val) [200][475/500] eta: 0:00:01 time: 0.0454 data_time: 0.0035 memory: 1013 2022/11/02 14:25:53 - mmengine - INFO - Epoch(val) [200][480/500] eta: 0:00:00 time: 0.0480 data_time: 0.0037 memory: 1013 2022/11/02 14:25:53 - mmengine - INFO - Epoch(val) [200][485/500] eta: 0:00:00 time: 0.0474 data_time: 0.0034 memory: 1013 2022/11/02 14:25:53 - mmengine - INFO - Epoch(val) [200][490/500] eta: 0:00:00 time: 0.0518 data_time: 0.0036 memory: 1013 2022/11/02 14:25:53 - mmengine - INFO - Epoch(val) [200][495/500] eta: 0:00:00 time: 0.0511 data_time: 0.0034 memory: 1013 2022/11/02 14:25:54 - mmengine - INFO - Epoch(val) [200][500/500] eta: 0:00:00 time: 0.0454 data_time: 0.0030 memory: 1013 2022/11/02 14:25:54 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 14:25:54 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7203, precision: 0.6715, hmean: 0.6950 2022/11/02 14:25:54 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7203, precision: 0.7870, hmean: 0.7521 2022/11/02 14:25:54 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7005, precision: 0.8484, hmean: 0.7674 2022/11/02 14:25:54 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6500, precision: 0.8841, hmean: 0.7492 2022/11/02 14:25:54 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.5099, precision: 0.9339, hmean: 0.6596 2022/11/02 14:25:54 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.1136, precision: 0.9752, hmean: 0.2035 2022/11/02 14:25:54 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 14:25:54 - mmengine - INFO - Epoch(val) [200][500/500] icdar/precision: 0.8484 icdar/recall: 0.7005 icdar/hmean: 0.7674 2022/11/02 14:26:00 - mmengine - INFO - Epoch(train) [201][5/63] lr: 1.8355e-03 eta: 0:00:00 time: 0.8926 data_time: 0.2576 memory: 16395 loss: 2.4321 loss_prob: 1.5030 loss_thr: 0.6867 loss_db: 0.2425 2022/11/02 14:26:04 - mmengine - INFO - Epoch(train) [201][10/63] lr: 1.8355e-03 eta: 11:02:39 time: 1.0289 data_time: 0.2562 memory: 16395 loss: 2.2659 loss_prob: 1.3643 loss_thr: 0.6844 loss_db: 0.2172 2022/11/02 14:26:07 - mmengine - INFO - Epoch(train) [201][15/63] lr: 1.8355e-03 eta: 11:02:39 time: 0.7717 data_time: 0.0115 memory: 16395 loss: 2.3123 loss_prob: 1.3926 loss_thr: 0.6968 loss_db: 0.2229 2022/11/02 14:26:10 - mmengine - INFO - Epoch(train) [201][20/63] lr: 1.8355e-03 eta: 11:02:34 time: 0.6543 data_time: 0.0135 memory: 16395 loss: 2.2192 loss_prob: 1.3475 loss_thr: 0.6536 loss_db: 0.2181 2022/11/02 14:26:14 - mmengine - INFO - Epoch(train) [201][25/63] lr: 1.8355e-03 eta: 11:02:34 time: 0.6311 data_time: 0.0195 memory: 16395 loss: 2.1664 loss_prob: 1.3079 loss_thr: 0.6485 loss_db: 0.2101 2022/11/02 14:26:17 - mmengine - INFO - Epoch(train) [201][30/63] lr: 1.8355e-03 eta: 11:02:26 time: 0.6080 data_time: 0.0371 memory: 16395 loss: 2.2890 loss_prob: 1.3988 loss_thr: 0.6638 loss_db: 0.2264 2022/11/02 14:26:20 - mmengine - INFO - Epoch(train) [201][35/63] lr: 1.8355e-03 eta: 11:02:26 time: 0.5896 data_time: 0.0323 memory: 16395 loss: 2.2216 loss_prob: 1.3544 loss_thr: 0.6468 loss_db: 0.2204 2022/11/02 14:26:23 - mmengine - INFO - Epoch(train) [201][40/63] lr: 1.8355e-03 eta: 11:02:20 time: 0.6232 data_time: 0.0097 memory: 16395 loss: 1.9776 loss_prob: 1.1814 loss_thr: 0.6084 loss_db: 0.1878 2022/11/02 14:26:26 - mmengine - INFO - Epoch(train) [201][45/63] lr: 1.8355e-03 eta: 11:02:20 time: 0.6071 data_time: 0.0139 memory: 16395 loss: 2.0409 loss_prob: 1.2178 loss_thr: 0.6305 loss_db: 0.1926 2022/11/02 14:26:29 - mmengine - INFO - Epoch(train) [201][50/63] lr: 1.8355e-03 eta: 11:02:11 time: 0.5854 data_time: 0.0203 memory: 16395 loss: 2.1475 loss_prob: 1.2730 loss_thr: 0.6685 loss_db: 0.2059 2022/11/02 14:26:32 - mmengine - INFO - Epoch(train) [201][55/63] lr: 1.8355e-03 eta: 11:02:11 time: 0.6339 data_time: 0.0293 memory: 16395 loss: 2.2725 loss_prob: 1.3901 loss_thr: 0.6578 loss_db: 0.2246 2022/11/02 14:26:35 - mmengine - INFO - Epoch(train) [201][60/63] lr: 1.8355e-03 eta: 11:02:04 time: 0.6053 data_time: 0.0248 memory: 16395 loss: 2.4229 loss_prob: 1.5163 loss_thr: 0.6664 loss_db: 0.2402 2022/11/02 14:26:36 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:26:43 - mmengine - INFO - Epoch(train) [202][5/63] lr: 1.8338e-03 eta: 11:02:04 time: 0.9060 data_time: 0.3329 memory: 16395 loss: 2.4676 loss_prob: 1.5239 loss_thr: 0.7036 loss_db: 0.2400 2022/11/02 14:26:46 - mmengine - INFO - Epoch(train) [202][10/63] lr: 1.8338e-03 eta: 11:02:04 time: 1.0011 data_time: 0.3348 memory: 16395 loss: 2.3746 loss_prob: 1.4582 loss_thr: 0.6860 loss_db: 0.2303 2022/11/02 14:26:49 - mmengine - INFO - Epoch(train) [202][15/63] lr: 1.8338e-03 eta: 11:02:04 time: 0.6482 data_time: 0.0080 memory: 16395 loss: 2.3272 loss_prob: 1.4249 loss_thr: 0.6762 loss_db: 0.2262 2022/11/02 14:26:52 - mmengine - INFO - Epoch(train) [202][20/63] lr: 1.8338e-03 eta: 11:01:54 time: 0.5504 data_time: 0.0075 memory: 16395 loss: 2.3562 loss_prob: 1.4428 loss_thr: 0.6780 loss_db: 0.2355 2022/11/02 14:26:55 - mmengine - INFO - Epoch(train) [202][25/63] lr: 1.8338e-03 eta: 11:01:54 time: 0.5804 data_time: 0.0380 memory: 16395 loss: 2.4313 loss_prob: 1.4931 loss_thr: 0.6919 loss_db: 0.2463 2022/11/02 14:26:59 - mmengine - INFO - Epoch(train) [202][30/63] lr: 1.8338e-03 eta: 11:01:51 time: 0.6909 data_time: 0.0423 memory: 16395 loss: 2.4220 loss_prob: 1.4877 loss_thr: 0.6878 loss_db: 0.2466 2022/11/02 14:27:02 - mmengine - INFO - Epoch(train) [202][35/63] lr: 1.8338e-03 eta: 11:01:51 time: 0.6781 data_time: 0.0154 memory: 16395 loss: 2.4068 loss_prob: 1.4973 loss_thr: 0.6618 loss_db: 0.2477 2022/11/02 14:27:05 - mmengine - INFO - Epoch(train) [202][40/63] lr: 1.8338e-03 eta: 11:01:43 time: 0.6052 data_time: 0.0108 memory: 16395 loss: 2.2541 loss_prob: 1.3833 loss_thr: 0.6456 loss_db: 0.2252 2022/11/02 14:27:08 - mmengine - INFO - Epoch(train) [202][45/63] lr: 1.8338e-03 eta: 11:01:43 time: 0.6369 data_time: 0.0088 memory: 16395 loss: 2.3205 loss_prob: 1.4342 loss_thr: 0.6545 loss_db: 0.2318 2022/11/02 14:27:11 - mmengine - INFO - Epoch(train) [202][50/63] lr: 1.8338e-03 eta: 11:01:37 time: 0.6387 data_time: 0.0261 memory: 16395 loss: 2.3786 loss_prob: 1.4843 loss_thr: 0.6571 loss_db: 0.2373 2022/11/02 14:27:15 - mmengine - INFO - Epoch(train) [202][55/63] lr: 1.8338e-03 eta: 11:01:37 time: 0.6454 data_time: 0.0281 memory: 16395 loss: 2.4124 loss_prob: 1.4992 loss_thr: 0.6734 loss_db: 0.2398 2022/11/02 14:27:18 - mmengine - INFO - Epoch(train) [202][60/63] lr: 1.8338e-03 eta: 11:01:34 time: 0.6955 data_time: 0.0115 memory: 16395 loss: 2.4981 loss_prob: 1.5575 loss_thr: 0.6860 loss_db: 0.2546 2022/11/02 14:27:20 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:27:26 - mmengine - INFO - Epoch(train) [203][5/63] lr: 1.8321e-03 eta: 11:01:34 time: 0.9089 data_time: 0.2801 memory: 16395 loss: 2.2524 loss_prob: 1.3744 loss_thr: 0.6521 loss_db: 0.2260 2022/11/02 14:27:29 - mmengine - INFO - Epoch(train) [203][10/63] lr: 1.8321e-03 eta: 11:01:30 time: 0.9084 data_time: 0.2832 memory: 16395 loss: 2.1539 loss_prob: 1.3015 loss_thr: 0.6468 loss_db: 0.2057 2022/11/02 14:27:32 - mmengine - INFO - Epoch(train) [203][15/63] lr: 1.8321e-03 eta: 11:01:30 time: 0.5837 data_time: 0.0155 memory: 16395 loss: 2.2222 loss_prob: 1.3658 loss_thr: 0.6385 loss_db: 0.2180 2022/11/02 14:27:35 - mmengine - INFO - Epoch(train) [203][20/63] lr: 1.8321e-03 eta: 11:01:22 time: 0.5936 data_time: 0.0095 memory: 16395 loss: 2.2524 loss_prob: 1.3831 loss_thr: 0.6470 loss_db: 0.2223 2022/11/02 14:27:38 - mmengine - INFO - Epoch(train) [203][25/63] lr: 1.8321e-03 eta: 11:01:22 time: 0.6826 data_time: 0.0592 memory: 16395 loss: 2.2756 loss_prob: 1.3791 loss_thr: 0.6751 loss_db: 0.2214 2022/11/02 14:27:41 - mmengine - INFO - Epoch(train) [203][30/63] lr: 1.8321e-03 eta: 11:01:17 time: 0.6637 data_time: 0.0595 memory: 16395 loss: 2.2375 loss_prob: 1.3454 loss_thr: 0.6757 loss_db: 0.2164 2022/11/02 14:27:44 - mmengine - INFO - Epoch(train) [203][35/63] lr: 1.8321e-03 eta: 11:01:17 time: 0.5989 data_time: 0.0110 memory: 16395 loss: 2.3271 loss_prob: 1.4162 loss_thr: 0.6846 loss_db: 0.2263 2022/11/02 14:27:48 - mmengine - INFO - Epoch(train) [203][40/63] lr: 1.8321e-03 eta: 11:01:11 time: 0.6406 data_time: 0.0122 memory: 16395 loss: 2.3926 loss_prob: 1.4656 loss_thr: 0.6926 loss_db: 0.2345 2022/11/02 14:27:51 - mmengine - INFO - Epoch(train) [203][45/63] lr: 1.8321e-03 eta: 11:01:11 time: 0.6830 data_time: 0.0076 memory: 16395 loss: 2.5320 loss_prob: 1.5596 loss_thr: 0.7170 loss_db: 0.2554 2022/11/02 14:27:54 - mmengine - INFO - Epoch(train) [203][50/63] lr: 1.8321e-03 eta: 11:01:06 time: 0.6522 data_time: 0.0220 memory: 16395 loss: 2.3693 loss_prob: 1.4580 loss_thr: 0.6713 loss_db: 0.2400 2022/11/02 14:27:58 - mmengine - INFO - Epoch(train) [203][55/63] lr: 1.8321e-03 eta: 11:01:06 time: 0.7208 data_time: 0.0256 memory: 16395 loss: 2.2402 loss_prob: 1.3808 loss_thr: 0.6335 loss_db: 0.2259 2022/11/02 14:28:02 - mmengine - INFO - Epoch(train) [203][60/63] lr: 1.8321e-03 eta: 11:01:06 time: 0.7534 data_time: 0.0156 memory: 16395 loss: 2.3077 loss_prob: 1.4255 loss_thr: 0.6504 loss_db: 0.2318 2022/11/02 14:28:03 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:28:11 - mmengine - INFO - Epoch(train) [204][5/63] lr: 1.8305e-03 eta: 11:01:06 time: 0.9995 data_time: 0.3070 memory: 16395 loss: 2.4297 loss_prob: 1.5180 loss_thr: 0.6660 loss_db: 0.2458 2022/11/02 14:28:14 - mmengine - INFO - Epoch(train) [204][10/63] lr: 1.8305e-03 eta: 11:01:08 time: 1.0399 data_time: 0.3085 memory: 16395 loss: 2.4737 loss_prob: 1.5539 loss_thr: 0.6685 loss_db: 0.2514 2022/11/02 14:28:17 - mmengine - INFO - Epoch(train) [204][15/63] lr: 1.8305e-03 eta: 11:01:08 time: 0.5825 data_time: 0.0090 memory: 16395 loss: 2.3346 loss_prob: 1.4351 loss_thr: 0.6709 loss_db: 0.2286 2022/11/02 14:28:20 - mmengine - INFO - Epoch(train) [204][20/63] lr: 1.8305e-03 eta: 11:01:01 time: 0.6061 data_time: 0.0105 memory: 16395 loss: 2.4413 loss_prob: 1.5045 loss_thr: 0.6894 loss_db: 0.2474 2022/11/02 14:28:24 - mmengine - INFO - Epoch(train) [204][25/63] lr: 1.8305e-03 eta: 11:01:01 time: 0.7184 data_time: 0.0536 memory: 16395 loss: 2.6317 loss_prob: 1.6510 loss_thr: 0.7069 loss_db: 0.2739 2022/11/02 14:28:27 - mmengine - INFO - Epoch(train) [204][30/63] lr: 1.8305e-03 eta: 11:00:59 time: 0.7253 data_time: 0.0511 memory: 16395 loss: 2.5135 loss_prob: 1.5643 loss_thr: 0.6943 loss_db: 0.2550 2022/11/02 14:28:30 - mmengine - INFO - Epoch(train) [204][35/63] lr: 1.8305e-03 eta: 11:00:59 time: 0.6209 data_time: 0.0070 memory: 16395 loss: 2.3674 loss_prob: 1.4492 loss_thr: 0.6843 loss_db: 0.2339 2022/11/02 14:28:33 - mmengine - INFO - Epoch(train) [204][40/63] lr: 1.8305e-03 eta: 11:00:48 time: 0.5395 data_time: 0.0050 memory: 16395 loss: 2.3615 loss_prob: 1.4404 loss_thr: 0.6914 loss_db: 0.2298 2022/11/02 14:28:36 - mmengine - INFO - Epoch(train) [204][45/63] lr: 1.8305e-03 eta: 11:00:48 time: 0.6302 data_time: 0.0170 memory: 16395 loss: 2.3581 loss_prob: 1.4517 loss_thr: 0.6788 loss_db: 0.2276 2022/11/02 14:28:39 - mmengine - INFO - Epoch(train) [204][50/63] lr: 1.8305e-03 eta: 11:00:44 time: 0.6695 data_time: 0.0339 memory: 16395 loss: 2.3240 loss_prob: 1.4332 loss_thr: 0.6674 loss_db: 0.2234 2022/11/02 14:28:42 - mmengine - INFO - Epoch(train) [204][55/63] lr: 1.8305e-03 eta: 11:00:44 time: 0.5578 data_time: 0.0243 memory: 16395 loss: 2.1927 loss_prob: 1.3379 loss_thr: 0.6407 loss_db: 0.2141 2022/11/02 14:28:45 - mmengine - INFO - Epoch(train) [204][60/63] lr: 1.8305e-03 eta: 11:00:35 time: 0.5838 data_time: 0.0105 memory: 16395 loss: 2.1303 loss_prob: 1.2838 loss_thr: 0.6387 loss_db: 0.2078 2022/11/02 14:28:47 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:28:53 - mmengine - INFO - Epoch(train) [205][5/63] lr: 1.8288e-03 eta: 11:00:35 time: 0.9089 data_time: 0.2785 memory: 16395 loss: 2.2013 loss_prob: 1.3273 loss_thr: 0.6589 loss_db: 0.2150 2022/11/02 14:28:55 - mmengine - INFO - Epoch(train) [205][10/63] lr: 1.8288e-03 eta: 11:00:30 time: 0.8888 data_time: 0.2777 memory: 16395 loss: 2.1192 loss_prob: 1.2904 loss_thr: 0.6195 loss_db: 0.2094 2022/11/02 14:28:59 - mmengine - INFO - Epoch(train) [205][15/63] lr: 1.8288e-03 eta: 11:00:30 time: 0.6272 data_time: 0.0105 memory: 16395 loss: 2.2078 loss_prob: 1.3634 loss_thr: 0.6216 loss_db: 0.2227 2022/11/02 14:29:02 - mmengine - INFO - Epoch(train) [205][20/63] lr: 1.8288e-03 eta: 11:00:26 time: 0.6852 data_time: 0.0125 memory: 16395 loss: 2.4142 loss_prob: 1.5012 loss_thr: 0.6668 loss_db: 0.2462 2022/11/02 14:29:06 - mmengine - INFO - Epoch(train) [205][25/63] lr: 1.8288e-03 eta: 11:00:26 time: 0.6556 data_time: 0.0391 memory: 16395 loss: 2.4926 loss_prob: 1.5274 loss_thr: 0.7133 loss_db: 0.2519 2022/11/02 14:29:08 - mmengine - INFO - Epoch(train) [205][30/63] lr: 1.8288e-03 eta: 11:00:17 time: 0.5765 data_time: 0.0393 memory: 16395 loss: 2.6100 loss_prob: 1.6162 loss_thr: 0.7245 loss_db: 0.2693 2022/11/02 14:29:11 - mmengine - INFO - Epoch(train) [205][35/63] lr: 1.8288e-03 eta: 11:00:17 time: 0.5365 data_time: 0.0092 memory: 16395 loss: 2.5680 loss_prob: 1.5885 loss_thr: 0.7190 loss_db: 0.2605 2022/11/02 14:29:14 - mmengine - INFO - Epoch(train) [205][40/63] lr: 1.8288e-03 eta: 11:00:08 time: 0.5778 data_time: 0.0135 memory: 16395 loss: 2.3784 loss_prob: 1.4582 loss_thr: 0.6864 loss_db: 0.2338 2022/11/02 14:29:17 - mmengine - INFO - Epoch(train) [205][45/63] lr: 1.8288e-03 eta: 11:00:08 time: 0.5622 data_time: 0.0116 memory: 16395 loss: 2.2271 loss_prob: 1.3724 loss_thr: 0.6356 loss_db: 0.2191 2022/11/02 14:29:20 - mmengine - INFO - Epoch(train) [205][50/63] lr: 1.8288e-03 eta: 11:00:00 time: 0.5881 data_time: 0.0280 memory: 16395 loss: 2.1661 loss_prob: 1.3079 loss_thr: 0.6479 loss_db: 0.2103 2022/11/02 14:29:23 - mmengine - INFO - Epoch(train) [205][55/63] lr: 1.8288e-03 eta: 11:00:00 time: 0.5986 data_time: 0.0297 memory: 16395 loss: 2.2242 loss_prob: 1.3227 loss_thr: 0.6864 loss_db: 0.2151 2022/11/02 14:29:26 - mmengine - INFO - Epoch(train) [205][60/63] lr: 1.8288e-03 eta: 10:59:51 time: 0.5792 data_time: 0.0142 memory: 16395 loss: 2.1918 loss_prob: 1.3052 loss_thr: 0.6769 loss_db: 0.2097 2022/11/02 14:29:27 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:29:33 - mmengine - INFO - Epoch(train) [206][5/63] lr: 1.8272e-03 eta: 10:59:51 time: 0.8625 data_time: 0.2464 memory: 16395 loss: 2.2145 loss_prob: 1.3138 loss_thr: 0.6880 loss_db: 0.2127 2022/11/02 14:29:36 - mmengine - INFO - Epoch(train) [206][10/63] lr: 1.8272e-03 eta: 10:59:48 time: 0.9252 data_time: 0.2547 memory: 16395 loss: 2.2030 loss_prob: 1.3258 loss_thr: 0.6582 loss_db: 0.2190 2022/11/02 14:29:40 - mmengine - INFO - Epoch(train) [206][15/63] lr: 1.8272e-03 eta: 10:59:48 time: 0.7586 data_time: 0.0170 memory: 16395 loss: 2.2767 loss_prob: 1.3773 loss_thr: 0.6785 loss_db: 0.2210 2022/11/02 14:29:44 - mmengine - INFO - Epoch(train) [206][20/63] lr: 1.8272e-03 eta: 10:59:48 time: 0.7674 data_time: 0.0095 memory: 16395 loss: 2.2361 loss_prob: 1.3456 loss_thr: 0.6766 loss_db: 0.2138 2022/11/02 14:29:47 - mmengine - INFO - Epoch(train) [206][25/63] lr: 1.8272e-03 eta: 10:59:48 time: 0.6724 data_time: 0.0185 memory: 16395 loss: 2.2568 loss_prob: 1.3730 loss_thr: 0.6662 loss_db: 0.2176 2022/11/02 14:29:50 - mmengine - INFO - Epoch(train) [206][30/63] lr: 1.8272e-03 eta: 10:59:41 time: 0.6225 data_time: 0.0384 memory: 16395 loss: 2.3957 loss_prob: 1.4745 loss_thr: 0.6875 loss_db: 0.2337 2022/11/02 14:29:53 - mmengine - INFO - Epoch(train) [206][35/63] lr: 1.8272e-03 eta: 10:59:41 time: 0.5642 data_time: 0.0369 memory: 16395 loss: 2.3577 loss_prob: 1.4283 loss_thr: 0.6973 loss_db: 0.2321 2022/11/02 14:29:56 - mmengine - INFO - Epoch(train) [206][40/63] lr: 1.8272e-03 eta: 10:59:34 time: 0.6145 data_time: 0.0163 memory: 16395 loss: 2.2171 loss_prob: 1.3234 loss_thr: 0.6750 loss_db: 0.2187 2022/11/02 14:29:59 - mmengine - INFO - Epoch(train) [206][45/63] lr: 1.8272e-03 eta: 10:59:34 time: 0.6414 data_time: 0.0085 memory: 16395 loss: 2.2231 loss_prob: 1.3599 loss_thr: 0.6376 loss_db: 0.2256 2022/11/02 14:30:02 - mmengine - INFO - Epoch(train) [206][50/63] lr: 1.8272e-03 eta: 10:59:27 time: 0.6113 data_time: 0.0130 memory: 16395 loss: 2.3137 loss_prob: 1.4524 loss_thr: 0.6260 loss_db: 0.2353 2022/11/02 14:30:05 - mmengine - INFO - Epoch(train) [206][55/63] lr: 1.8272e-03 eta: 10:59:27 time: 0.5919 data_time: 0.0215 memory: 16395 loss: 2.3352 loss_prob: 1.4555 loss_thr: 0.6454 loss_db: 0.2344 2022/11/02 14:30:08 - mmengine - INFO - Epoch(train) [206][60/63] lr: 1.8272e-03 eta: 10:59:19 time: 0.5893 data_time: 0.0200 memory: 16395 loss: 2.3728 loss_prob: 1.4451 loss_thr: 0.6898 loss_db: 0.2379 2022/11/02 14:30:10 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:30:18 - mmengine - INFO - Epoch(train) [207][5/63] lr: 1.8255e-03 eta: 10:59:19 time: 1.0412 data_time: 0.2448 memory: 16395 loss: 2.3998 loss_prob: 1.4769 loss_thr: 0.6845 loss_db: 0.2385 2022/11/02 14:30:21 - mmengine - INFO - Epoch(train) [207][10/63] lr: 1.8255e-03 eta: 10:59:26 time: 1.1414 data_time: 0.2497 memory: 16395 loss: 2.3692 loss_prob: 1.4541 loss_thr: 0.6804 loss_db: 0.2347 2022/11/02 14:30:24 - mmengine - INFO - Epoch(train) [207][15/63] lr: 1.8255e-03 eta: 10:59:26 time: 0.6238 data_time: 0.0162 memory: 16395 loss: 2.1561 loss_prob: 1.2832 loss_thr: 0.6631 loss_db: 0.2098 2022/11/02 14:30:27 - mmengine - INFO - Epoch(train) [207][20/63] lr: 1.8255e-03 eta: 10:59:18 time: 0.5921 data_time: 0.0139 memory: 16395 loss: 2.3629 loss_prob: 1.4515 loss_thr: 0.6728 loss_db: 0.2386 2022/11/02 14:30:28 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:30:30 - mmengine - INFO - Epoch(train) [207][25/63] lr: 1.8255e-03 eta: 10:59:18 time: 0.6377 data_time: 0.0263 memory: 16395 loss: 2.5981 loss_prob: 1.6283 loss_thr: 0.7027 loss_db: 0.2672 2022/11/02 14:30:33 - mmengine - INFO - Epoch(train) [207][30/63] lr: 1.8255e-03 eta: 10:59:12 time: 0.6377 data_time: 0.0351 memory: 16395 loss: 2.6751 loss_prob: 1.6772 loss_thr: 0.7204 loss_db: 0.2775 2022/11/02 14:30:37 - mmengine - INFO - Epoch(train) [207][35/63] lr: 1.8255e-03 eta: 10:59:12 time: 0.6349 data_time: 0.0226 memory: 16395 loss: 2.6642 loss_prob: 1.6616 loss_thr: 0.7238 loss_db: 0.2788 2022/11/02 14:30:39 - mmengine - INFO - Epoch(train) [207][40/63] lr: 1.8255e-03 eta: 10:59:04 time: 0.6018 data_time: 0.0151 memory: 16395 loss: 2.5966 loss_prob: 1.6104 loss_thr: 0.7169 loss_db: 0.2692 2022/11/02 14:30:43 - mmengine - INFO - Epoch(train) [207][45/63] lr: 1.8255e-03 eta: 10:59:04 time: 0.6119 data_time: 0.0115 memory: 16395 loss: 2.4436 loss_prob: 1.5059 loss_thr: 0.6880 loss_db: 0.2497 2022/11/02 14:30:46 - mmengine - INFO - Epoch(train) [207][50/63] lr: 1.8255e-03 eta: 10:58:58 time: 0.6375 data_time: 0.0268 memory: 16395 loss: 2.4231 loss_prob: 1.4918 loss_thr: 0.6859 loss_db: 0.2454 2022/11/02 14:30:49 - mmengine - INFO - Epoch(train) [207][55/63] lr: 1.8255e-03 eta: 10:58:58 time: 0.6659 data_time: 0.0316 memory: 16395 loss: 2.4344 loss_prob: 1.5002 loss_thr: 0.6876 loss_db: 0.2466 2022/11/02 14:30:52 - mmengine - INFO - Epoch(train) [207][60/63] lr: 1.8255e-03 eta: 10:58:52 time: 0.6348 data_time: 0.0123 memory: 16395 loss: 2.3206 loss_prob: 1.4071 loss_thr: 0.6814 loss_db: 0.2321 2022/11/02 14:30:54 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:31:01 - mmengine - INFO - Epoch(train) [208][5/63] lr: 1.8239e-03 eta: 10:58:52 time: 0.9951 data_time: 0.2894 memory: 16395 loss: 2.3216 loss_prob: 1.4249 loss_thr: 0.6642 loss_db: 0.2325 2022/11/02 14:31:04 - mmengine - INFO - Epoch(train) [208][10/63] lr: 1.8239e-03 eta: 10:58:51 time: 0.9903 data_time: 0.2893 memory: 16395 loss: 2.5583 loss_prob: 1.5909 loss_thr: 0.7054 loss_db: 0.2620 2022/11/02 14:31:07 - mmengine - INFO - Epoch(train) [208][15/63] lr: 1.8239e-03 eta: 10:58:51 time: 0.6204 data_time: 0.0113 memory: 16395 loss: 2.5847 loss_prob: 1.6028 loss_thr: 0.7164 loss_db: 0.2655 2022/11/02 14:31:10 - mmengine - INFO - Epoch(train) [208][20/63] lr: 1.8239e-03 eta: 10:58:43 time: 0.5834 data_time: 0.0105 memory: 16395 loss: 2.3280 loss_prob: 1.4355 loss_thr: 0.6573 loss_db: 0.2352 2022/11/02 14:31:13 - mmengine - INFO - Epoch(train) [208][25/63] lr: 1.8239e-03 eta: 10:58:43 time: 0.6051 data_time: 0.0139 memory: 16395 loss: 2.1939 loss_prob: 1.3377 loss_thr: 0.6441 loss_db: 0.2120 2022/11/02 14:31:16 - mmengine - INFO - Epoch(train) [208][30/63] lr: 1.8239e-03 eta: 10:58:37 time: 0.6417 data_time: 0.0456 memory: 16395 loss: 2.1887 loss_prob: 1.3038 loss_thr: 0.6782 loss_db: 0.2067 2022/11/02 14:31:19 - mmengine - INFO - Epoch(train) [208][35/63] lr: 1.8239e-03 eta: 10:58:37 time: 0.6241 data_time: 0.0476 memory: 16395 loss: 2.2433 loss_prob: 1.3477 loss_thr: 0.6755 loss_db: 0.2201 2022/11/02 14:31:22 - mmengine - INFO - Epoch(train) [208][40/63] lr: 1.8239e-03 eta: 10:58:27 time: 0.5652 data_time: 0.0168 memory: 16395 loss: 2.2188 loss_prob: 1.3471 loss_thr: 0.6487 loss_db: 0.2230 2022/11/02 14:31:25 - mmengine - INFO - Epoch(train) [208][45/63] lr: 1.8239e-03 eta: 10:58:27 time: 0.5434 data_time: 0.0104 memory: 16395 loss: 2.2112 loss_prob: 1.3518 loss_thr: 0.6376 loss_db: 0.2218 2022/11/02 14:31:28 - mmengine - INFO - Epoch(train) [208][50/63] lr: 1.8239e-03 eta: 10:58:19 time: 0.5873 data_time: 0.0268 memory: 16395 loss: 2.3380 loss_prob: 1.4278 loss_thr: 0.6773 loss_db: 0.2329 2022/11/02 14:31:32 - mmengine - INFO - Epoch(train) [208][55/63] lr: 1.8239e-03 eta: 10:58:19 time: 0.6931 data_time: 0.0290 memory: 16395 loss: 2.3186 loss_prob: 1.3985 loss_thr: 0.6896 loss_db: 0.2305 2022/11/02 14:31:35 - mmengine - INFO - Epoch(train) [208][60/63] lr: 1.8239e-03 eta: 10:58:17 time: 0.7195 data_time: 0.0127 memory: 16395 loss: 2.4208 loss_prob: 1.4821 loss_thr: 0.6916 loss_db: 0.2471 2022/11/02 14:31:36 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:31:42 - mmengine - INFO - Epoch(train) [209][5/63] lr: 1.8222e-03 eta: 10:58:17 time: 0.8639 data_time: 0.2337 memory: 16395 loss: 2.5521 loss_prob: 1.5819 loss_thr: 0.7095 loss_db: 0.2607 2022/11/02 14:31:45 - mmengine - INFO - Epoch(train) [209][10/63] lr: 1.8222e-03 eta: 10:58:12 time: 0.8855 data_time: 0.2334 memory: 16395 loss: 2.3285 loss_prob: 1.4139 loss_thr: 0.6826 loss_db: 0.2319 2022/11/02 14:31:48 - mmengine - INFO - Epoch(train) [209][15/63] lr: 1.8222e-03 eta: 10:58:12 time: 0.5754 data_time: 0.0118 memory: 16395 loss: 2.1896 loss_prob: 1.3316 loss_thr: 0.6441 loss_db: 0.2139 2022/11/02 14:31:51 - mmengine - INFO - Epoch(train) [209][20/63] lr: 1.8222e-03 eta: 10:58:04 time: 0.5993 data_time: 0.0148 memory: 16395 loss: 2.2323 loss_prob: 1.3598 loss_thr: 0.6537 loss_db: 0.2188 2022/11/02 14:31:54 - mmengine - INFO - Epoch(train) [209][25/63] lr: 1.8222e-03 eta: 10:58:04 time: 0.6250 data_time: 0.0347 memory: 16395 loss: 2.4004 loss_prob: 1.4863 loss_thr: 0.6719 loss_db: 0.2422 2022/11/02 14:31:57 - mmengine - INFO - Epoch(train) [209][30/63] lr: 1.8222e-03 eta: 10:57:56 time: 0.5979 data_time: 0.0341 memory: 16395 loss: 2.3348 loss_prob: 1.4533 loss_thr: 0.6506 loss_db: 0.2309 2022/11/02 14:32:00 - mmengine - INFO - Epoch(train) [209][35/63] lr: 1.8222e-03 eta: 10:57:56 time: 0.5497 data_time: 0.0143 memory: 16395 loss: 2.1235 loss_prob: 1.2909 loss_thr: 0.6326 loss_db: 0.2000 2022/11/02 14:32:03 - mmengine - INFO - Epoch(train) [209][40/63] lr: 1.8222e-03 eta: 10:57:48 time: 0.6023 data_time: 0.0125 memory: 16395 loss: 2.1668 loss_prob: 1.3060 loss_thr: 0.6512 loss_db: 0.2097 2022/11/02 14:32:06 - mmengine - INFO - Epoch(train) [209][45/63] lr: 1.8222e-03 eta: 10:57:48 time: 0.6618 data_time: 0.0117 memory: 16395 loss: 2.3380 loss_prob: 1.4213 loss_thr: 0.6846 loss_db: 0.2321 2022/11/02 14:32:10 - mmengine - INFO - Epoch(train) [209][50/63] lr: 1.8222e-03 eta: 10:57:44 time: 0.6832 data_time: 0.0207 memory: 16395 loss: 2.4930 loss_prob: 1.5209 loss_thr: 0.7140 loss_db: 0.2581 2022/11/02 14:32:13 - mmengine - INFO - Epoch(train) [209][55/63] lr: 1.8222e-03 eta: 10:57:44 time: 0.6594 data_time: 0.0240 memory: 16395 loss: 2.4091 loss_prob: 1.4628 loss_thr: 0.7009 loss_db: 0.2454 2022/11/02 14:32:16 - mmengine - INFO - Epoch(train) [209][60/63] lr: 1.8222e-03 eta: 10:57:35 time: 0.5680 data_time: 0.0157 memory: 16395 loss: 2.3642 loss_prob: 1.4572 loss_thr: 0.6791 loss_db: 0.2279 2022/11/02 14:32:17 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:32:23 - mmengine - INFO - Epoch(train) [210][5/63] lr: 1.8206e-03 eta: 10:57:35 time: 0.8483 data_time: 0.2488 memory: 16395 loss: 2.3421 loss_prob: 1.4387 loss_thr: 0.6739 loss_db: 0.2295 2022/11/02 14:32:26 - mmengine - INFO - Epoch(train) [210][10/63] lr: 1.8206e-03 eta: 10:57:31 time: 0.9122 data_time: 0.2456 memory: 16395 loss: 2.2288 loss_prob: 1.3537 loss_thr: 0.6544 loss_db: 0.2208 2022/11/02 14:32:29 - mmengine - INFO - Epoch(train) [210][15/63] lr: 1.8206e-03 eta: 10:57:31 time: 0.6202 data_time: 0.0241 memory: 16395 loss: 2.0681 loss_prob: 1.2384 loss_thr: 0.6296 loss_db: 0.2001 2022/11/02 14:32:32 - mmengine - INFO - Epoch(train) [210][20/63] lr: 1.8206e-03 eta: 10:57:22 time: 0.5792 data_time: 0.0273 memory: 16395 loss: 2.0826 loss_prob: 1.2461 loss_thr: 0.6379 loss_db: 0.1986 2022/11/02 14:32:35 - mmengine - INFO - Epoch(train) [210][25/63] lr: 1.8206e-03 eta: 10:57:22 time: 0.5811 data_time: 0.0307 memory: 16395 loss: 2.1308 loss_prob: 1.2719 loss_thr: 0.6567 loss_db: 0.2023 2022/11/02 14:32:38 - mmengine - INFO - Epoch(train) [210][30/63] lr: 1.8206e-03 eta: 10:57:15 time: 0.6161 data_time: 0.0271 memory: 16395 loss: 2.1626 loss_prob: 1.2928 loss_thr: 0.6632 loss_db: 0.2066 2022/11/02 14:32:42 - mmengine - INFO - Epoch(train) [210][35/63] lr: 1.8206e-03 eta: 10:57:15 time: 0.6508 data_time: 0.0094 memory: 16395 loss: 2.2743 loss_prob: 1.3879 loss_thr: 0.6592 loss_db: 0.2272 2022/11/02 14:32:46 - mmengine - INFO - Epoch(train) [210][40/63] lr: 1.8206e-03 eta: 10:57:14 time: 0.7486 data_time: 0.0148 memory: 16395 loss: 2.3214 loss_prob: 1.4318 loss_thr: 0.6539 loss_db: 0.2357 2022/11/02 14:32:49 - mmengine - INFO - Epoch(train) [210][45/63] lr: 1.8206e-03 eta: 10:57:14 time: 0.7285 data_time: 0.0160 memory: 16395 loss: 2.3446 loss_prob: 1.4319 loss_thr: 0.6796 loss_db: 0.2331 2022/11/02 14:32:52 - mmengine - INFO - Epoch(train) [210][50/63] lr: 1.8206e-03 eta: 10:57:09 time: 0.6576 data_time: 0.0276 memory: 16395 loss: 2.4163 loss_prob: 1.4703 loss_thr: 0.7004 loss_db: 0.2457 2022/11/02 14:32:56 - mmengine - INFO - Epoch(train) [210][55/63] lr: 1.8206e-03 eta: 10:57:09 time: 0.6588 data_time: 0.0244 memory: 16395 loss: 2.3649 loss_prob: 1.4409 loss_thr: 0.6837 loss_db: 0.2403 2022/11/02 14:32:59 - mmengine - INFO - Epoch(train) [210][60/63] lr: 1.8206e-03 eta: 10:57:02 time: 0.6153 data_time: 0.0108 memory: 16395 loss: 2.4342 loss_prob: 1.4982 loss_thr: 0.6943 loss_db: 0.2417 2022/11/02 14:33:00 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:33:06 - mmengine - INFO - Epoch(train) [211][5/63] lr: 1.8189e-03 eta: 10:57:02 time: 0.8946 data_time: 0.2424 memory: 16395 loss: 2.4450 loss_prob: 1.5160 loss_thr: 0.6850 loss_db: 0.2440 2022/11/02 14:33:09 - mmengine - INFO - Epoch(train) [211][10/63] lr: 1.8189e-03 eta: 10:56:58 time: 0.9109 data_time: 0.2423 memory: 16395 loss: 2.1565 loss_prob: 1.2914 loss_thr: 0.6587 loss_db: 0.2064 2022/11/02 14:33:12 - mmengine - INFO - Epoch(train) [211][15/63] lr: 1.8189e-03 eta: 10:56:58 time: 0.5657 data_time: 0.0111 memory: 16395 loss: 2.2661 loss_prob: 1.3789 loss_thr: 0.6717 loss_db: 0.2154 2022/11/02 14:33:15 - mmengine - INFO - Epoch(train) [211][20/63] lr: 1.8189e-03 eta: 10:56:49 time: 0.5767 data_time: 0.0066 memory: 16395 loss: 2.3967 loss_prob: 1.4705 loss_thr: 0.6940 loss_db: 0.2321 2022/11/02 14:33:18 - mmengine - INFO - Epoch(train) [211][25/63] lr: 1.8189e-03 eta: 10:56:49 time: 0.6265 data_time: 0.0222 memory: 16395 loss: 2.2763 loss_prob: 1.3793 loss_thr: 0.6755 loss_db: 0.2215 2022/11/02 14:33:22 - mmengine - INFO - Epoch(train) [211][30/63] lr: 1.8189e-03 eta: 10:56:44 time: 0.6591 data_time: 0.0444 memory: 16395 loss: 2.1598 loss_prob: 1.2869 loss_thr: 0.6646 loss_db: 0.2082 2022/11/02 14:33:25 - mmengine - INFO - Epoch(train) [211][35/63] lr: 1.8189e-03 eta: 10:56:44 time: 0.6815 data_time: 0.0274 memory: 16395 loss: 2.1682 loss_prob: 1.2954 loss_thr: 0.6641 loss_db: 0.2086 2022/11/02 14:33:28 - mmengine - INFO - Epoch(train) [211][40/63] lr: 1.8189e-03 eta: 10:56:38 time: 0.6338 data_time: 0.0087 memory: 16395 loss: 2.1798 loss_prob: 1.3169 loss_thr: 0.6505 loss_db: 0.2124 2022/11/02 14:33:30 - mmengine - INFO - Epoch(train) [211][45/63] lr: 1.8189e-03 eta: 10:56:38 time: 0.5372 data_time: 0.0085 memory: 16395 loss: 2.2385 loss_prob: 1.3648 loss_thr: 0.6541 loss_db: 0.2195 2022/11/02 14:33:34 - mmengine - INFO - Epoch(train) [211][50/63] lr: 1.8189e-03 eta: 10:56:30 time: 0.6024 data_time: 0.0154 memory: 16395 loss: 2.2302 loss_prob: 1.3589 loss_thr: 0.6504 loss_db: 0.2209 2022/11/02 14:33:37 - mmengine - INFO - Epoch(train) [211][55/63] lr: 1.8189e-03 eta: 10:56:30 time: 0.6517 data_time: 0.0319 memory: 16395 loss: 2.1876 loss_prob: 1.3359 loss_thr: 0.6337 loss_db: 0.2181 2022/11/02 14:33:40 - mmengine - INFO - Epoch(train) [211][60/63] lr: 1.8189e-03 eta: 10:56:21 time: 0.5648 data_time: 0.0247 memory: 16395 loss: 2.2925 loss_prob: 1.4045 loss_thr: 0.6642 loss_db: 0.2238 2022/11/02 14:33:41 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:33:46 - mmengine - INFO - Epoch(train) [212][5/63] lr: 1.8173e-03 eta: 10:56:21 time: 0.7333 data_time: 0.2347 memory: 16395 loss: 2.3839 loss_prob: 1.4815 loss_thr: 0.6672 loss_db: 0.2352 2022/11/02 14:33:49 - mmengine - INFO - Epoch(train) [212][10/63] lr: 1.8173e-03 eta: 10:56:13 time: 0.8373 data_time: 0.2353 memory: 16395 loss: 2.3729 loss_prob: 1.4513 loss_thr: 0.6835 loss_db: 0.2382 2022/11/02 14:33:52 - mmengine - INFO - Epoch(train) [212][15/63] lr: 1.8173e-03 eta: 10:56:13 time: 0.6480 data_time: 0.0092 memory: 16395 loss: 2.3892 loss_prob: 1.4507 loss_thr: 0.7043 loss_db: 0.2342 2022/11/02 14:33:55 - mmengine - INFO - Epoch(train) [212][20/63] lr: 1.8173e-03 eta: 10:56:06 time: 0.6225 data_time: 0.0118 memory: 16395 loss: 2.2397 loss_prob: 1.3589 loss_thr: 0.6659 loss_db: 0.2149 2022/11/02 14:33:59 - mmengine - INFO - Epoch(train) [212][25/63] lr: 1.8173e-03 eta: 10:56:06 time: 0.6213 data_time: 0.0235 memory: 16395 loss: 2.3406 loss_prob: 1.4380 loss_thr: 0.6651 loss_db: 0.2375 2022/11/02 14:34:02 - mmengine - INFO - Epoch(train) [212][30/63] lr: 1.8173e-03 eta: 10:56:03 time: 0.6996 data_time: 0.0379 memory: 16395 loss: 2.4661 loss_prob: 1.5275 loss_thr: 0.6852 loss_db: 0.2534 2022/11/02 14:34:06 - mmengine - INFO - Epoch(train) [212][35/63] lr: 1.8173e-03 eta: 10:56:03 time: 0.7353 data_time: 0.0256 memory: 16395 loss: 2.2323 loss_prob: 1.3605 loss_thr: 0.6544 loss_db: 0.2174 2022/11/02 14:34:09 - mmengine - INFO - Epoch(train) [212][40/63] lr: 1.8173e-03 eta: 10:55:58 time: 0.6520 data_time: 0.0107 memory: 16395 loss: 2.1238 loss_prob: 1.2702 loss_thr: 0.6503 loss_db: 0.2033 2022/11/02 14:34:12 - mmengine - INFO - Epoch(train) [212][45/63] lr: 1.8173e-03 eta: 10:55:58 time: 0.5720 data_time: 0.0125 memory: 16395 loss: 2.2635 loss_prob: 1.3576 loss_thr: 0.6860 loss_db: 0.2199 2022/11/02 14:34:15 - mmengine - INFO - Epoch(train) [212][50/63] lr: 1.8173e-03 eta: 10:55:49 time: 0.5676 data_time: 0.0279 memory: 16395 loss: 2.2609 loss_prob: 1.3550 loss_thr: 0.6841 loss_db: 0.2219 2022/11/02 14:34:17 - mmengine - INFO - Epoch(train) [212][55/63] lr: 1.8173e-03 eta: 10:55:49 time: 0.5685 data_time: 0.0315 memory: 16395 loss: 2.1595 loss_prob: 1.2846 loss_thr: 0.6629 loss_db: 0.2120 2022/11/02 14:34:20 - mmengine - INFO - Epoch(train) [212][60/63] lr: 1.8173e-03 eta: 10:55:39 time: 0.5631 data_time: 0.0154 memory: 16395 loss: 2.4185 loss_prob: 1.5022 loss_thr: 0.6760 loss_db: 0.2403 2022/11/02 14:34:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:34:28 - mmengine - INFO - Epoch(train) [213][5/63] lr: 1.8156e-03 eta: 10:55:39 time: 0.8752 data_time: 0.2514 memory: 16395 loss: 2.1120 loss_prob: 1.2931 loss_thr: 0.6140 loss_db: 0.2049 2022/11/02 14:34:31 - mmengine - INFO - Epoch(train) [213][10/63] lr: 1.8156e-03 eta: 10:55:35 time: 0.9205 data_time: 0.2490 memory: 16395 loss: 2.0420 loss_prob: 1.2300 loss_thr: 0.6113 loss_db: 0.2006 2022/11/02 14:34:34 - mmengine - INFO - Epoch(train) [213][15/63] lr: 1.8156e-03 eta: 10:55:35 time: 0.6090 data_time: 0.0068 memory: 16395 loss: 2.1265 loss_prob: 1.2896 loss_thr: 0.6304 loss_db: 0.2064 2022/11/02 14:34:37 - mmengine - INFO - Epoch(train) [213][20/63] lr: 1.8156e-03 eta: 10:55:27 time: 0.5883 data_time: 0.0070 memory: 16395 loss: 2.2704 loss_prob: 1.3931 loss_thr: 0.6558 loss_db: 0.2215 2022/11/02 14:34:41 - mmengine - INFO - Epoch(train) [213][25/63] lr: 1.8156e-03 eta: 10:55:27 time: 0.6775 data_time: 0.0365 memory: 16395 loss: 2.2266 loss_prob: 1.3538 loss_thr: 0.6514 loss_db: 0.2214 2022/11/02 14:34:45 - mmengine - INFO - Epoch(train) [213][30/63] lr: 1.8156e-03 eta: 10:55:27 time: 0.7666 data_time: 0.0610 memory: 16395 loss: 2.1509 loss_prob: 1.2997 loss_thr: 0.6375 loss_db: 0.2137 2022/11/02 14:34:48 - mmengine - INFO - Epoch(train) [213][35/63] lr: 1.8156e-03 eta: 10:55:27 time: 0.7062 data_time: 0.0338 memory: 16395 loss: 2.1854 loss_prob: 1.3356 loss_thr: 0.6371 loss_db: 0.2127 2022/11/02 14:34:51 - mmengine - INFO - Epoch(train) [213][40/63] lr: 1.8156e-03 eta: 10:55:22 time: 0.6614 data_time: 0.0135 memory: 16395 loss: 2.1391 loss_prob: 1.2999 loss_thr: 0.6363 loss_db: 0.2029 2022/11/02 14:34:54 - mmengine - INFO - Epoch(train) [213][45/63] lr: 1.8156e-03 eta: 10:55:22 time: 0.6093 data_time: 0.0126 memory: 16395 loss: 2.3855 loss_prob: 1.4703 loss_thr: 0.6772 loss_db: 0.2381 2022/11/02 14:34:57 - mmengine - INFO - Epoch(train) [213][50/63] lr: 1.8156e-03 eta: 10:55:15 time: 0.6259 data_time: 0.0332 memory: 16395 loss: 2.5814 loss_prob: 1.6274 loss_thr: 0.6881 loss_db: 0.2659 2022/11/02 14:35:00 - mmengine - INFO - Epoch(train) [213][55/63] lr: 1.8156e-03 eta: 10:55:15 time: 0.6451 data_time: 0.0365 memory: 16395 loss: 2.3288 loss_prob: 1.4469 loss_thr: 0.6508 loss_db: 0.2311 2022/11/02 14:35:03 - mmengine - INFO - Epoch(train) [213][60/63] lr: 1.8156e-03 eta: 10:55:06 time: 0.5720 data_time: 0.0129 memory: 16395 loss: 2.3514 loss_prob: 1.4671 loss_thr: 0.6481 loss_db: 0.2363 2022/11/02 14:35:05 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:35:11 - mmengine - INFO - Epoch(train) [214][5/63] lr: 1.8139e-03 eta: 10:55:06 time: 0.8379 data_time: 0.2594 memory: 16395 loss: 2.1443 loss_prob: 1.3243 loss_thr: 0.6003 loss_db: 0.2196 2022/11/02 14:35:13 - mmengine - INFO - Epoch(train) [214][10/63] lr: 1.8139e-03 eta: 10:54:58 time: 0.8306 data_time: 0.2616 memory: 16395 loss: 2.2495 loss_prob: 1.4068 loss_thr: 0.6160 loss_db: 0.2267 2022/11/02 14:35:17 - mmengine - INFO - Epoch(train) [214][15/63] lr: 1.8139e-03 eta: 10:54:58 time: 0.5984 data_time: 0.0188 memory: 16395 loss: 2.2146 loss_prob: 1.3659 loss_thr: 0.6313 loss_db: 0.2173 2022/11/02 14:35:20 - mmengine - INFO - Epoch(train) [214][20/63] lr: 1.8139e-03 eta: 10:54:54 time: 0.6781 data_time: 0.0148 memory: 16395 loss: 2.2298 loss_prob: 1.3421 loss_thr: 0.6721 loss_db: 0.2155 2022/11/02 14:35:24 - mmengine - INFO - Epoch(train) [214][25/63] lr: 1.8139e-03 eta: 10:54:54 time: 0.7151 data_time: 0.0284 memory: 16395 loss: 2.2710 loss_prob: 1.3678 loss_thr: 0.6860 loss_db: 0.2172 2022/11/02 14:35:27 - mmengine - INFO - Epoch(train) [214][30/63] lr: 1.8139e-03 eta: 10:54:53 time: 0.7393 data_time: 0.0407 memory: 16395 loss: 2.1714 loss_prob: 1.3151 loss_thr: 0.6469 loss_db: 0.2095 2022/11/02 14:35:30 - mmengine - INFO - Epoch(train) [214][35/63] lr: 1.8139e-03 eta: 10:54:53 time: 0.6816 data_time: 0.0231 memory: 16395 loss: 2.2506 loss_prob: 1.3754 loss_thr: 0.6557 loss_db: 0.2195 2022/11/02 14:35:34 - mmengine - INFO - Epoch(train) [214][40/63] lr: 1.8139e-03 eta: 10:54:48 time: 0.6707 data_time: 0.0160 memory: 16395 loss: 2.3046 loss_prob: 1.4139 loss_thr: 0.6667 loss_db: 0.2240 2022/11/02 14:35:37 - mmengine - INFO - Epoch(train) [214][45/63] lr: 1.8139e-03 eta: 10:54:48 time: 0.6551 data_time: 0.0129 memory: 16395 loss: 2.1723 loss_prob: 1.2980 loss_thr: 0.6651 loss_db: 0.2092 2022/11/02 14:35:40 - mmengine - INFO - Epoch(train) [214][50/63] lr: 1.8139e-03 eta: 10:54:42 time: 0.6378 data_time: 0.0209 memory: 16395 loss: 2.2235 loss_prob: 1.3315 loss_thr: 0.6729 loss_db: 0.2190 2022/11/02 14:35:43 - mmengine - INFO - Epoch(train) [214][55/63] lr: 1.8139e-03 eta: 10:54:42 time: 0.6092 data_time: 0.0248 memory: 16395 loss: 2.4965 loss_prob: 1.5408 loss_thr: 0.6991 loss_db: 0.2565 2022/11/02 14:35:46 - mmengine - INFO - Epoch(train) [214][60/63] lr: 1.8139e-03 eta: 10:54:33 time: 0.5727 data_time: 0.0163 memory: 16395 loss: 2.7292 loss_prob: 1.7066 loss_thr: 0.7365 loss_db: 0.2861 2022/11/02 14:35:48 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:35:56 - mmengine - INFO - Epoch(train) [215][5/63] lr: 1.8123e-03 eta: 10:54:33 time: 1.0705 data_time: 0.2581 memory: 16395 loss: 2.5235 loss_prob: 1.5742 loss_thr: 0.6907 loss_db: 0.2585 2022/11/02 14:35:58 - mmengine - INFO - Epoch(train) [215][10/63] lr: 1.8123e-03 eta: 10:54:37 time: 1.0880 data_time: 0.2555 memory: 16395 loss: 2.2813 loss_prob: 1.3906 loss_thr: 0.6653 loss_db: 0.2255 2022/11/02 14:36:02 - mmengine - INFO - Epoch(train) [215][15/63] lr: 1.8123e-03 eta: 10:54:37 time: 0.6370 data_time: 0.0116 memory: 16395 loss: 2.1999 loss_prob: 1.3192 loss_thr: 0.6644 loss_db: 0.2163 2022/11/02 14:36:05 - mmengine - INFO - Epoch(train) [215][20/63] lr: 1.8123e-03 eta: 10:54:31 time: 0.6276 data_time: 0.0137 memory: 16395 loss: 2.2129 loss_prob: 1.3439 loss_thr: 0.6472 loss_db: 0.2218 2022/11/02 14:36:09 - mmengine - INFO - Epoch(train) [215][25/63] lr: 1.8123e-03 eta: 10:54:31 time: 0.6634 data_time: 0.0337 memory: 16395 loss: 2.2292 loss_prob: 1.3607 loss_thr: 0.6482 loss_db: 0.2203 2022/11/02 14:36:12 - mmengine - INFO - Epoch(train) [215][30/63] lr: 1.8123e-03 eta: 10:54:28 time: 0.7013 data_time: 0.0452 memory: 16395 loss: 2.2636 loss_prob: 1.3724 loss_thr: 0.6687 loss_db: 0.2224 2022/11/02 14:36:15 - mmengine - INFO - Epoch(train) [215][35/63] lr: 1.8123e-03 eta: 10:54:28 time: 0.6143 data_time: 0.0225 memory: 16395 loss: 2.1035 loss_prob: 1.2636 loss_thr: 0.6370 loss_db: 0.2029 2022/11/02 14:36:18 - mmengine - INFO - Epoch(train) [215][40/63] lr: 1.8123e-03 eta: 10:54:21 time: 0.6324 data_time: 0.0127 memory: 16395 loss: 2.1306 loss_prob: 1.2839 loss_thr: 0.6452 loss_db: 0.2015 2022/11/02 14:36:21 - mmengine - INFO - Epoch(train) [215][45/63] lr: 1.8123e-03 eta: 10:54:21 time: 0.6286 data_time: 0.0150 memory: 16395 loss: 2.2472 loss_prob: 1.3572 loss_thr: 0.6716 loss_db: 0.2184 2022/11/02 14:36:24 - mmengine - INFO - Epoch(train) [215][50/63] lr: 1.8123e-03 eta: 10:54:14 time: 0.6154 data_time: 0.0185 memory: 16395 loss: 2.3186 loss_prob: 1.4225 loss_thr: 0.6632 loss_db: 0.2328 2022/11/02 14:36:27 - mmengine - INFO - Epoch(train) [215][55/63] lr: 1.8123e-03 eta: 10:54:14 time: 0.6251 data_time: 0.0227 memory: 16395 loss: 2.2781 loss_prob: 1.3832 loss_thr: 0.6736 loss_db: 0.2214 2022/11/02 14:36:30 - mmengine - INFO - Epoch(train) [215][60/63] lr: 1.8123e-03 eta: 10:54:05 time: 0.5801 data_time: 0.0187 memory: 16395 loss: 2.1701 loss_prob: 1.3086 loss_thr: 0.6538 loss_db: 0.2077 2022/11/02 14:36:32 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:36:39 - mmengine - INFO - Epoch(train) [216][5/63] lr: 1.8106e-03 eta: 10:54:05 time: 1.0422 data_time: 0.3139 memory: 16395 loss: 2.1215 loss_prob: 1.2848 loss_thr: 0.6343 loss_db: 0.2024 2022/11/02 14:36:43 - mmengine - INFO - Epoch(train) [216][10/63] lr: 1.8106e-03 eta: 10:54:10 time: 1.1040 data_time: 0.3114 memory: 16395 loss: 2.2207 loss_prob: 1.3473 loss_thr: 0.6527 loss_db: 0.2207 2022/11/02 14:36:46 - mmengine - INFO - Epoch(train) [216][15/63] lr: 1.8106e-03 eta: 10:54:10 time: 0.6805 data_time: 0.0097 memory: 16395 loss: 2.2190 loss_prob: 1.3484 loss_thr: 0.6500 loss_db: 0.2206 2022/11/02 14:36:50 - mmengine - INFO - Epoch(train) [216][20/63] lr: 1.8106e-03 eta: 10:54:04 time: 0.6395 data_time: 0.0077 memory: 16395 loss: 2.2128 loss_prob: 1.3437 loss_thr: 0.6520 loss_db: 0.2170 2022/11/02 14:36:53 - mmengine - INFO - Epoch(train) [216][25/63] lr: 1.8106e-03 eta: 10:54:04 time: 0.6804 data_time: 0.0420 memory: 16395 loss: 2.2308 loss_prob: 1.3496 loss_thr: 0.6584 loss_db: 0.2229 2022/11/02 14:36:56 - mmengine - INFO - Epoch(train) [216][30/63] lr: 1.8106e-03 eta: 10:53:57 time: 0.6258 data_time: 0.0402 memory: 16395 loss: 2.3645 loss_prob: 1.4574 loss_thr: 0.6677 loss_db: 0.2393 2022/11/02 14:36:59 - mmengine - INFO - Epoch(train) [216][35/63] lr: 1.8106e-03 eta: 10:53:57 time: 0.6232 data_time: 0.0061 memory: 16395 loss: 2.3472 loss_prob: 1.4492 loss_thr: 0.6611 loss_db: 0.2369 2022/11/02 14:37:02 - mmengine - INFO - Epoch(train) [216][40/63] lr: 1.8106e-03 eta: 10:53:50 time: 0.6142 data_time: 0.0145 memory: 16395 loss: 2.1616 loss_prob: 1.3145 loss_thr: 0.6332 loss_db: 0.2139 2022/11/02 14:37:05 - mmengine - INFO - Epoch(train) [216][45/63] lr: 1.8106e-03 eta: 10:53:50 time: 0.5714 data_time: 0.0164 memory: 16395 loss: 2.2172 loss_prob: 1.3458 loss_thr: 0.6562 loss_db: 0.2153 2022/11/02 14:37:08 - mmengine - INFO - Epoch(train) [216][50/63] lr: 1.8106e-03 eta: 10:53:42 time: 0.5975 data_time: 0.0257 memory: 16395 loss: 2.1924 loss_prob: 1.3166 loss_thr: 0.6631 loss_db: 0.2126 2022/11/02 14:37:12 - mmengine - INFO - Epoch(train) [216][55/63] lr: 1.8106e-03 eta: 10:53:42 time: 0.6966 data_time: 0.0271 memory: 16395 loss: 2.1151 loss_prob: 1.2657 loss_thr: 0.6451 loss_db: 0.2043 2022/11/02 14:37:15 - mmengine - INFO - Epoch(train) [216][60/63] lr: 1.8106e-03 eta: 10:53:40 time: 0.7158 data_time: 0.0118 memory: 16395 loss: 2.2884 loss_prob: 1.4002 loss_thr: 0.6622 loss_db: 0.2261 2022/11/02 14:37:17 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:37:23 - mmengine - INFO - Epoch(train) [217][5/63] lr: 1.8090e-03 eta: 10:53:40 time: 0.9234 data_time: 0.2223 memory: 16395 loss: 2.5091 loss_prob: 1.5636 loss_thr: 0.6935 loss_db: 0.2520 2022/11/02 14:37:27 - mmengine - INFO - Epoch(train) [217][10/63] lr: 1.8090e-03 eta: 10:53:36 time: 0.9269 data_time: 0.2234 memory: 16395 loss: 2.4515 loss_prob: 1.5173 loss_thr: 0.6900 loss_db: 0.2442 2022/11/02 14:37:30 - mmengine - INFO - Epoch(train) [217][15/63] lr: 1.8090e-03 eta: 10:53:36 time: 0.6354 data_time: 0.0155 memory: 16395 loss: 2.1771 loss_prob: 1.3286 loss_thr: 0.6349 loss_db: 0.2136 2022/11/02 14:37:32 - mmengine - INFO - Epoch(train) [217][20/63] lr: 1.8090e-03 eta: 10:53:28 time: 0.5939 data_time: 0.0106 memory: 16395 loss: 2.0800 loss_prob: 1.2588 loss_thr: 0.6157 loss_db: 0.2055 2022/11/02 14:37:36 - mmengine - INFO - Epoch(train) [217][25/63] lr: 1.8090e-03 eta: 10:53:28 time: 0.5888 data_time: 0.0230 memory: 16395 loss: 2.1343 loss_prob: 1.2926 loss_thr: 0.6359 loss_db: 0.2058 2022/11/02 14:37:39 - mmengine - INFO - Epoch(train) [217][30/63] lr: 1.8090e-03 eta: 10:53:21 time: 0.6104 data_time: 0.0378 memory: 16395 loss: 2.1256 loss_prob: 1.2753 loss_thr: 0.6522 loss_db: 0.1981 2022/11/02 14:37:41 - mmengine - INFO - Epoch(train) [217][35/63] lr: 1.8090e-03 eta: 10:53:21 time: 0.5751 data_time: 0.0259 memory: 16395 loss: 2.1137 loss_prob: 1.2558 loss_thr: 0.6568 loss_db: 0.2011 2022/11/02 14:37:44 - mmengine - INFO - Epoch(train) [217][40/63] lr: 1.8090e-03 eta: 10:53:13 time: 0.5877 data_time: 0.0150 memory: 16395 loss: 2.3374 loss_prob: 1.4492 loss_thr: 0.6543 loss_db: 0.2340 2022/11/02 14:37:48 - mmengine - INFO - Epoch(train) [217][45/63] lr: 1.8090e-03 eta: 10:53:13 time: 0.6539 data_time: 0.0101 memory: 16395 loss: 2.4933 loss_prob: 1.5714 loss_thr: 0.6724 loss_db: 0.2495 2022/11/02 14:37:52 - mmengine - INFO - Epoch(train) [217][50/63] lr: 1.8090e-03 eta: 10:53:10 time: 0.7275 data_time: 0.0211 memory: 16395 loss: 2.4303 loss_prob: 1.4907 loss_thr: 0.6999 loss_db: 0.2397 2022/11/02 14:37:56 - mmengine - INFO - Epoch(train) [217][55/63] lr: 1.8090e-03 eta: 10:53:10 time: 0.7995 data_time: 0.0329 memory: 16395 loss: 2.3963 loss_prob: 1.4538 loss_thr: 0.7025 loss_db: 0.2399 2022/11/02 14:37:59 - mmengine - INFO - Epoch(train) [217][60/63] lr: 1.8090e-03 eta: 10:53:08 time: 0.7264 data_time: 0.0225 memory: 16395 loss: 2.2252 loss_prob: 1.3553 loss_thr: 0.6506 loss_db: 0.2192 2022/11/02 14:38:01 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:38:08 - mmengine - INFO - Epoch(train) [218][5/63] lr: 1.8073e-03 eta: 10:53:08 time: 0.9754 data_time: 0.2102 memory: 16395 loss: 2.2697 loss_prob: 1.3893 loss_thr: 0.6597 loss_db: 0.2207 2022/11/02 14:38:10 - mmengine - INFO - Epoch(train) [218][10/63] lr: 1.8073e-03 eta: 10:53:06 time: 0.9524 data_time: 0.2169 memory: 16395 loss: 2.2191 loss_prob: 1.3224 loss_thr: 0.6852 loss_db: 0.2115 2022/11/02 14:38:14 - mmengine - INFO - Epoch(train) [218][15/63] lr: 1.8073e-03 eta: 10:53:06 time: 0.6084 data_time: 0.0175 memory: 16395 loss: 2.5352 loss_prob: 1.5636 loss_thr: 0.7057 loss_db: 0.2658 2022/11/02 14:38:16 - mmengine - INFO - Epoch(train) [218][20/63] lr: 1.8073e-03 eta: 10:52:57 time: 0.5696 data_time: 0.0088 memory: 16395 loss: 2.3781 loss_prob: 1.4687 loss_thr: 0.6635 loss_db: 0.2459 2022/11/02 14:38:19 - mmengine - INFO - Epoch(train) [218][25/63] lr: 1.8073e-03 eta: 10:52:57 time: 0.5688 data_time: 0.0205 memory: 16395 loss: 2.1369 loss_prob: 1.2949 loss_thr: 0.6380 loss_db: 0.2040 2022/11/02 14:38:22 - mmengine - INFO - Epoch(train) [218][30/63] lr: 1.8073e-03 eta: 10:52:49 time: 0.6067 data_time: 0.0362 memory: 16395 loss: 2.3414 loss_prob: 1.4497 loss_thr: 0.6563 loss_db: 0.2354 2022/11/02 14:38:25 - mmengine - INFO - Epoch(train) [218][35/63] lr: 1.8073e-03 eta: 10:52:49 time: 0.5558 data_time: 0.0258 memory: 16395 loss: 2.5229 loss_prob: 1.5807 loss_thr: 0.6817 loss_db: 0.2605 2022/11/02 14:38:28 - mmengine - INFO - Epoch(train) [218][40/63] lr: 1.8073e-03 eta: 10:52:40 time: 0.5558 data_time: 0.0182 memory: 16395 loss: 2.5961 loss_prob: 1.6314 loss_thr: 0.6934 loss_db: 0.2713 2022/11/02 14:38:30 - mmengine - INFO - Epoch(train) [218][45/63] lr: 1.8073e-03 eta: 10:52:40 time: 0.5449 data_time: 0.0140 memory: 16395 loss: 2.3068 loss_prob: 1.4309 loss_thr: 0.6416 loss_db: 0.2344 2022/11/02 14:38:34 - mmengine - INFO - Epoch(train) [218][50/63] lr: 1.8073e-03 eta: 10:52:33 time: 0.6262 data_time: 0.0271 memory: 16395 loss: 2.0897 loss_prob: 1.2671 loss_thr: 0.6151 loss_db: 0.2075 2022/11/02 14:38:38 - mmengine - INFO - Epoch(train) [218][55/63] lr: 1.8073e-03 eta: 10:52:33 time: 0.7268 data_time: 0.0356 memory: 16395 loss: 2.2724 loss_prob: 1.4019 loss_thr: 0.6409 loss_db: 0.2296 2022/11/02 14:38:41 - mmengine - INFO - Epoch(train) [218][60/63] lr: 1.8073e-03 eta: 10:52:28 time: 0.6694 data_time: 0.0242 memory: 16395 loss: 2.3287 loss_prob: 1.4340 loss_thr: 0.6638 loss_db: 0.2309 2022/11/02 14:38:42 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:38:49 - mmengine - INFO - Epoch(train) [219][5/63] lr: 1.8057e-03 eta: 10:52:28 time: 0.9318 data_time: 0.2504 memory: 16395 loss: 2.2545 loss_prob: 1.3716 loss_thr: 0.6599 loss_db: 0.2230 2022/11/02 14:38:52 - mmengine - INFO - Epoch(train) [219][10/63] lr: 1.8057e-03 eta: 10:52:28 time: 1.0017 data_time: 0.2530 memory: 16395 loss: 2.1544 loss_prob: 1.2954 loss_thr: 0.6527 loss_db: 0.2063 2022/11/02 14:38:55 - mmengine - INFO - Epoch(train) [219][15/63] lr: 1.8057e-03 eta: 10:52:28 time: 0.6108 data_time: 0.0129 memory: 16395 loss: 2.1567 loss_prob: 1.3108 loss_thr: 0.6352 loss_db: 0.2107 2022/11/02 14:38:58 - mmengine - INFO - Epoch(train) [219][20/63] lr: 1.8057e-03 eta: 10:52:20 time: 0.6023 data_time: 0.0075 memory: 16395 loss: 2.3791 loss_prob: 1.4767 loss_thr: 0.6639 loss_db: 0.2385 2022/11/02 14:39:02 - mmengine - INFO - Epoch(train) [219][25/63] lr: 1.8057e-03 eta: 10:52:20 time: 0.6589 data_time: 0.0319 memory: 16395 loss: 2.2632 loss_prob: 1.3893 loss_thr: 0.6512 loss_db: 0.2226 2022/11/02 14:39:06 - mmengine - INFO - Epoch(train) [219][30/63] lr: 1.8057e-03 eta: 10:52:19 time: 0.7512 data_time: 0.0478 memory: 16395 loss: 2.2468 loss_prob: 1.3652 loss_thr: 0.6628 loss_db: 0.2188 2022/11/02 14:39:09 - mmengine - INFO - Epoch(train) [219][35/63] lr: 1.8057e-03 eta: 10:52:19 time: 0.7405 data_time: 0.0276 memory: 16395 loss: 2.2432 loss_prob: 1.3625 loss_thr: 0.6597 loss_db: 0.2210 2022/11/02 14:39:12 - mmengine - INFO - Epoch(train) [219][40/63] lr: 1.8057e-03 eta: 10:52:10 time: 0.5723 data_time: 0.0128 memory: 16395 loss: 2.2280 loss_prob: 1.3664 loss_thr: 0.6381 loss_db: 0.2236 2022/11/02 14:39:15 - mmengine - INFO - Epoch(train) [219][45/63] lr: 1.8057e-03 eta: 10:52:10 time: 0.5640 data_time: 0.0086 memory: 16395 loss: 2.3035 loss_prob: 1.4119 loss_thr: 0.6601 loss_db: 0.2315 2022/11/02 14:39:18 - mmengine - INFO - Epoch(train) [219][50/63] lr: 1.8057e-03 eta: 10:52:06 time: 0.6794 data_time: 0.0251 memory: 16395 loss: 2.2566 loss_prob: 1.3678 loss_thr: 0.6641 loss_db: 0.2247 2022/11/02 14:39:21 - mmengine - INFO - Epoch(train) [219][55/63] lr: 1.8057e-03 eta: 10:52:06 time: 0.6405 data_time: 0.0319 memory: 16395 loss: 2.2178 loss_prob: 1.3390 loss_thr: 0.6597 loss_db: 0.2191 2022/11/02 14:39:24 - mmengine - INFO - Epoch(train) [219][60/63] lr: 1.8057e-03 eta: 10:51:56 time: 0.5446 data_time: 0.0141 memory: 16395 loss: 2.1254 loss_prob: 1.2825 loss_thr: 0.6338 loss_db: 0.2092 2022/11/02 14:39:25 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:39:32 - mmengine - INFO - Epoch(train) [220][5/63] lr: 1.8040e-03 eta: 10:51:56 time: 0.8918 data_time: 0.2803 memory: 16395 loss: 2.1054 loss_prob: 1.2719 loss_thr: 0.6286 loss_db: 0.2049 2022/11/02 14:39:35 - mmengine - INFO - Epoch(train) [220][10/63] lr: 1.8040e-03 eta: 10:51:55 time: 0.9944 data_time: 0.2816 memory: 16395 loss: 2.1511 loss_prob: 1.2957 loss_thr: 0.6445 loss_db: 0.2109 2022/11/02 14:39:39 - mmengine - INFO - Epoch(train) [220][15/63] lr: 1.8040e-03 eta: 10:51:55 time: 0.6867 data_time: 0.0075 memory: 16395 loss: 2.2414 loss_prob: 1.3511 loss_thr: 0.6693 loss_db: 0.2209 2022/11/02 14:39:41 - mmengine - INFO - Epoch(train) [220][20/63] lr: 1.8040e-03 eta: 10:51:47 time: 0.5928 data_time: 0.0085 memory: 16395 loss: 2.2909 loss_prob: 1.4004 loss_thr: 0.6629 loss_db: 0.2276 2022/11/02 14:39:46 - mmengine - INFO - Epoch(train) [220][25/63] lr: 1.8040e-03 eta: 10:51:47 time: 0.7433 data_time: 0.0387 memory: 16395 loss: 2.1925 loss_prob: 1.3333 loss_thr: 0.6408 loss_db: 0.2184 2022/11/02 14:39:49 - mmengine - INFO - Epoch(train) [220][30/63] lr: 1.8040e-03 eta: 10:51:47 time: 0.7728 data_time: 0.0525 memory: 16395 loss: 2.4161 loss_prob: 1.4983 loss_thr: 0.6730 loss_db: 0.2448 2022/11/02 14:39:53 - mmengine - INFO - Epoch(train) [220][35/63] lr: 1.8040e-03 eta: 10:51:47 time: 0.6555 data_time: 0.0230 memory: 16395 loss: 2.4055 loss_prob: 1.4776 loss_thr: 0.6915 loss_db: 0.2364 2022/11/02 14:39:56 - mmengine - INFO - Epoch(train) [220][40/63] lr: 1.8040e-03 eta: 10:51:42 time: 0.6709 data_time: 0.0087 memory: 16395 loss: 2.3177 loss_prob: 1.3963 loss_thr: 0.7018 loss_db: 0.2196 2022/11/02 14:39:59 - mmengine - INFO - Epoch(train) [220][45/63] lr: 1.8040e-03 eta: 10:51:42 time: 0.6112 data_time: 0.0110 memory: 16395 loss: 2.3028 loss_prob: 1.4061 loss_thr: 0.6741 loss_db: 0.2225 2022/11/02 14:40:02 - mmengine - INFO - Epoch(train) [220][50/63] lr: 1.8040e-03 eta: 10:51:36 time: 0.6209 data_time: 0.0210 memory: 16395 loss: 2.1637 loss_prob: 1.3063 loss_thr: 0.6480 loss_db: 0.2095 2022/11/02 14:40:05 - mmengine - INFO - Epoch(train) [220][55/63] lr: 1.8040e-03 eta: 10:51:36 time: 0.6483 data_time: 0.0279 memory: 16395 loss: 2.3164 loss_prob: 1.4184 loss_thr: 0.6716 loss_db: 0.2264 2022/11/02 14:40:09 - mmengine - INFO - Epoch(train) [220][60/63] lr: 1.8040e-03 eta: 10:51:30 time: 0.6556 data_time: 0.0165 memory: 16395 loss: 2.3173 loss_prob: 1.4279 loss_thr: 0.6624 loss_db: 0.2271 2022/11/02 14:40:10 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:40:10 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/11/02 14:40:14 - mmengine - INFO - Epoch(val) [220][5/500] eta: 10:51:30 time: 0.0511 data_time: 0.0054 memory: 16395 2022/11/02 14:40:14 - mmengine - INFO - Epoch(val) [220][10/500] eta: 0:00:26 time: 0.0539 data_time: 0.0057 memory: 1013 2022/11/02 14:40:14 - mmengine - INFO - Epoch(val) [220][15/500] eta: 0:00:26 time: 0.0461 data_time: 0.0034 memory: 1013 2022/11/02 14:40:14 - mmengine - INFO - Epoch(val) [220][20/500] eta: 0:00:22 time: 0.0476 data_time: 0.0033 memory: 1013 2022/11/02 14:40:15 - mmengine - INFO - Epoch(val) [220][25/500] eta: 0:00:22 time: 0.0566 data_time: 0.0039 memory: 1013 2022/11/02 14:40:15 - mmengine - INFO - Epoch(val) [220][30/500] eta: 0:00:26 time: 0.0561 data_time: 0.0036 memory: 1013 2022/11/02 14:40:15 - mmengine - INFO - Epoch(val) [220][35/500] eta: 0:00:26 time: 0.0493 data_time: 0.0032 memory: 1013 2022/11/02 14:40:16 - mmengine - INFO - Epoch(val) [220][40/500] eta: 0:00:23 time: 0.0505 data_time: 0.0032 memory: 1013 2022/11/02 14:40:16 - mmengine - INFO - Epoch(val) [220][45/500] eta: 0:00:23 time: 0.0530 data_time: 0.0030 memory: 1013 2022/11/02 14:40:16 - mmengine - INFO - Epoch(val) [220][50/500] eta: 0:00:32 time: 0.0716 data_time: 0.0238 memory: 1013 2022/11/02 14:40:16 - mmengine - INFO - Epoch(val) [220][55/500] eta: 0:00:32 time: 0.0687 data_time: 0.0233 memory: 1013 2022/11/02 14:40:17 - mmengine - INFO - Epoch(val) [220][60/500] eta: 0:00:18 time: 0.0427 data_time: 0.0020 memory: 1013 2022/11/02 14:40:17 - mmengine - INFO - Epoch(val) [220][65/500] eta: 0:00:18 time: 0.0475 data_time: 0.0036 memory: 1013 2022/11/02 14:40:17 - mmengine - INFO - Epoch(val) [220][70/500] eta: 0:00:21 time: 0.0507 data_time: 0.0041 memory: 1013 2022/11/02 14:40:17 - mmengine - INFO - Epoch(val) [220][75/500] eta: 0:00:21 time: 0.0449 data_time: 0.0029 memory: 1013 2022/11/02 14:40:18 - mmengine - INFO - Epoch(val) [220][80/500] eta: 0:00:19 time: 0.0459 data_time: 0.0029 memory: 1013 2022/11/02 14:40:18 - mmengine - INFO - Epoch(val) [220][85/500] eta: 0:00:19 time: 0.0472 data_time: 0.0032 memory: 1013 2022/11/02 14:40:18 - mmengine - INFO - Epoch(val) [220][90/500] eta: 0:00:19 time: 0.0485 data_time: 0.0037 memory: 1013 2022/11/02 14:40:18 - mmengine - INFO - Epoch(val) [220][95/500] eta: 0:00:19 time: 0.0531 data_time: 0.0036 memory: 1013 2022/11/02 14:40:19 - mmengine - INFO - Epoch(val) [220][100/500] eta: 0:00:20 time: 0.0512 data_time: 0.0033 memory: 1013 2022/11/02 14:40:19 - mmengine - INFO - Epoch(val) [220][105/500] eta: 0:00:20 time: 0.0516 data_time: 0.0037 memory: 1013 2022/11/02 14:40:19 - mmengine - INFO - Epoch(val) [220][110/500] eta: 0:00:20 time: 0.0528 data_time: 0.0041 memory: 1013 2022/11/02 14:40:19 - mmengine - INFO - Epoch(val) [220][115/500] eta: 0:00:20 time: 0.0513 data_time: 0.0039 memory: 1013 2022/11/02 14:40:20 - mmengine - INFO - Epoch(val) [220][120/500] eta: 0:00:19 time: 0.0501 data_time: 0.0033 memory: 1013 2022/11/02 14:40:20 - mmengine - INFO - Epoch(val) [220][125/500] eta: 0:00:19 time: 0.0524 data_time: 0.0045 memory: 1013 2022/11/02 14:40:20 - mmengine - INFO - Epoch(val) [220][130/500] eta: 0:00:19 time: 0.0518 data_time: 0.0045 memory: 1013 2022/11/02 14:40:20 - mmengine - INFO - Epoch(val) [220][135/500] eta: 0:00:19 time: 0.0497 data_time: 0.0029 memory: 1013 2022/11/02 14:40:21 - mmengine - INFO - Epoch(val) [220][140/500] eta: 0:00:19 time: 0.0554 data_time: 0.0031 memory: 1013 2022/11/02 14:40:21 - mmengine - INFO - Epoch(val) [220][145/500] eta: 0:00:19 time: 0.0538 data_time: 0.0030 memory: 1013 2022/11/02 14:40:21 - mmengine - INFO - Epoch(val) [220][150/500] eta: 0:00:16 time: 0.0481 data_time: 0.0029 memory: 1013 2022/11/02 14:40:22 - mmengine - INFO - Epoch(val) [220][155/500] eta: 0:00:16 time: 0.0523 data_time: 0.0035 memory: 1013 2022/11/02 14:40:22 - mmengine - INFO - Epoch(val) [220][160/500] eta: 0:00:20 time: 0.0597 data_time: 0.0039 memory: 1013 2022/11/02 14:40:22 - mmengine - INFO - Epoch(val) [220][165/500] eta: 0:00:20 time: 0.0571 data_time: 0.0051 memory: 1013 2022/11/02 14:40:22 - mmengine - INFO - Epoch(val) [220][170/500] eta: 0:00:16 time: 0.0497 data_time: 0.0045 memory: 1013 2022/11/02 14:40:23 - mmengine - INFO - Epoch(val) [220][175/500] eta: 0:00:16 time: 0.0450 data_time: 0.0027 memory: 1013 2022/11/02 14:40:23 - mmengine - INFO - Epoch(val) [220][180/500] eta: 0:00:13 time: 0.0433 data_time: 0.0029 memory: 1013 2022/11/02 14:40:23 - mmengine - INFO - Epoch(val) [220][185/500] eta: 0:00:13 time: 0.0470 data_time: 0.0028 memory: 1013 2022/11/02 14:40:23 - mmengine - INFO - Epoch(val) [220][190/500] eta: 0:00:15 time: 0.0494 data_time: 0.0025 memory: 1013 2022/11/02 14:40:23 - mmengine - INFO - Epoch(val) [220][195/500] eta: 0:00:15 time: 0.0440 data_time: 0.0025 memory: 1013 2022/11/02 14:40:24 - mmengine - INFO - Epoch(val) [220][200/500] eta: 0:00:14 time: 0.0475 data_time: 0.0026 memory: 1013 2022/11/02 14:40:24 - mmengine - INFO - Epoch(val) [220][205/500] eta: 0:00:14 time: 0.0482 data_time: 0.0029 memory: 1013 2022/11/02 14:40:24 - mmengine - INFO - Epoch(val) [220][210/500] eta: 0:00:12 time: 0.0422 data_time: 0.0027 memory: 1013 2022/11/02 14:40:24 - mmengine - INFO - Epoch(val) [220][215/500] eta: 0:00:12 time: 0.0447 data_time: 0.0025 memory: 1013 2022/11/02 14:40:25 - mmengine - INFO - Epoch(val) [220][220/500] eta: 0:00:13 time: 0.0488 data_time: 0.0042 memory: 1013 2022/11/02 14:40:25 - mmengine - INFO - Epoch(val) [220][225/500] eta: 0:00:13 time: 0.0484 data_time: 0.0043 memory: 1013 2022/11/02 14:40:25 - mmengine - INFO - Epoch(val) [220][230/500] eta: 0:00:13 time: 0.0492 data_time: 0.0039 memory: 1013 2022/11/02 14:40:25 - mmengine - INFO - Epoch(val) [220][235/500] eta: 0:00:13 time: 0.0524 data_time: 0.0048 memory: 1013 2022/11/02 14:40:26 - mmengine - INFO - Epoch(val) [220][240/500] eta: 0:00:13 time: 0.0537 data_time: 0.0041 memory: 1013 2022/11/02 14:40:26 - mmengine - INFO - Epoch(val) [220][245/500] eta: 0:00:13 time: 0.0506 data_time: 0.0035 memory: 1013 2022/11/02 14:40:26 - mmengine - INFO - Epoch(val) [220][250/500] eta: 0:00:12 time: 0.0496 data_time: 0.0033 memory: 1013 2022/11/02 14:40:26 - mmengine - INFO - Epoch(val) [220][255/500] eta: 0:00:12 time: 0.0488 data_time: 0.0034 memory: 1013 2022/11/02 14:40:27 - mmengine - INFO - Epoch(val) [220][260/500] eta: 0:00:11 time: 0.0486 data_time: 0.0034 memory: 1013 2022/11/02 14:40:27 - mmengine - INFO - Epoch(val) [220][265/500] eta: 0:00:11 time: 0.0494 data_time: 0.0035 memory: 1013 2022/11/02 14:40:27 - mmengine - INFO - Epoch(val) [220][270/500] eta: 0:00:11 time: 0.0492 data_time: 0.0036 memory: 1013 2022/11/02 14:40:27 - mmengine - INFO - Epoch(val) [220][275/500] eta: 0:00:11 time: 0.0502 data_time: 0.0037 memory: 1013 2022/11/02 14:40:28 - mmengine - INFO - Epoch(val) [220][280/500] eta: 0:00:11 time: 0.0537 data_time: 0.0037 memory: 1013 2022/11/02 14:40:28 - mmengine - INFO - Epoch(val) [220][285/500] eta: 0:00:11 time: 0.0529 data_time: 0.0036 memory: 1013 2022/11/02 14:40:28 - mmengine - INFO - Epoch(val) [220][290/500] eta: 0:00:11 time: 0.0534 data_time: 0.0034 memory: 1013 2022/11/02 14:40:29 - mmengine - INFO - Epoch(val) [220][295/500] eta: 0:00:11 time: 0.0579 data_time: 0.0036 memory: 1013 2022/11/02 14:40:29 - mmengine - INFO - Epoch(val) [220][300/500] eta: 0:00:10 time: 0.0549 data_time: 0.0040 memory: 1013 2022/11/02 14:40:29 - mmengine - INFO - Epoch(val) [220][305/500] eta: 0:00:10 time: 0.0503 data_time: 0.0036 memory: 1013 2022/11/02 14:40:29 - mmengine - INFO - Epoch(val) [220][310/500] eta: 0:00:08 time: 0.0466 data_time: 0.0031 memory: 1013 2022/11/02 14:40:29 - mmengine - INFO - Epoch(val) [220][315/500] eta: 0:00:08 time: 0.0477 data_time: 0.0028 memory: 1013 2022/11/02 14:40:30 - mmengine - INFO - Epoch(val) [220][320/500] eta: 0:00:09 time: 0.0526 data_time: 0.0031 memory: 1013 2022/11/02 14:40:30 - mmengine - INFO - Epoch(val) [220][325/500] eta: 0:00:09 time: 0.0644 data_time: 0.0031 memory: 1013 2022/11/02 14:40:30 - mmengine - INFO - Epoch(val) [220][330/500] eta: 0:00:10 time: 0.0609 data_time: 0.0029 memory: 1013 2022/11/02 14:40:31 - mmengine - INFO - Epoch(val) [220][335/500] eta: 0:00:10 time: 0.0459 data_time: 0.0029 memory: 1013 2022/11/02 14:40:31 - mmengine - INFO - Epoch(val) [220][340/500] eta: 0:00:10 time: 0.0626 data_time: 0.0028 memory: 1013 2022/11/02 14:40:31 - mmengine - INFO - Epoch(val) [220][345/500] eta: 0:00:10 time: 0.0710 data_time: 0.0035 memory: 1013 2022/11/02 14:40:32 - mmengine - INFO - Epoch(val) [220][350/500] eta: 0:00:09 time: 0.0626 data_time: 0.0041 memory: 1013 2022/11/02 14:40:32 - mmengine - INFO - Epoch(val) [220][355/500] eta: 0:00:09 time: 0.0580 data_time: 0.0041 memory: 1013 2022/11/02 14:40:32 - mmengine - INFO - Epoch(val) [220][360/500] eta: 0:00:06 time: 0.0468 data_time: 0.0034 memory: 1013 2022/11/02 14:40:32 - mmengine - INFO - Epoch(val) [220][365/500] eta: 0:00:06 time: 0.0470 data_time: 0.0030 memory: 1013 2022/11/02 14:40:33 - mmengine - INFO - Epoch(val) [220][370/500] eta: 0:00:06 time: 0.0487 data_time: 0.0032 memory: 1013 2022/11/02 14:40:33 - mmengine - INFO - Epoch(val) [220][375/500] eta: 0:00:06 time: 0.0460 data_time: 0.0032 memory: 1013 2022/11/02 14:40:33 - mmengine - INFO - Epoch(val) [220][380/500] eta: 0:00:05 time: 0.0461 data_time: 0.0029 memory: 1013 2022/11/02 14:40:33 - mmengine - INFO - Epoch(val) [220][385/500] eta: 0:00:05 time: 0.0440 data_time: 0.0027 memory: 1013 2022/11/02 14:40:34 - mmengine - INFO - Epoch(val) [220][390/500] eta: 0:00:05 time: 0.0471 data_time: 0.0029 memory: 1013 2022/11/02 14:40:34 - mmengine - INFO - Epoch(val) [220][395/500] eta: 0:00:05 time: 0.0471 data_time: 0.0030 memory: 1013 2022/11/02 14:40:34 - mmengine - INFO - Epoch(val) [220][400/500] eta: 0:00:04 time: 0.0416 data_time: 0.0029 memory: 1013 2022/11/02 14:40:34 - mmengine - INFO - Epoch(val) [220][405/500] eta: 0:00:04 time: 0.0457 data_time: 0.0029 memory: 1013 2022/11/02 14:40:34 - mmengine - INFO - Epoch(val) [220][410/500] eta: 0:00:04 time: 0.0509 data_time: 0.0032 memory: 1013 2022/11/02 14:40:35 - mmengine - INFO - Epoch(val) [220][415/500] eta: 0:00:04 time: 0.0479 data_time: 0.0032 memory: 1013 2022/11/02 14:40:35 - mmengine - INFO - Epoch(val) [220][420/500] eta: 0:00:03 time: 0.0397 data_time: 0.0027 memory: 1013 2022/11/02 14:40:35 - mmengine - INFO - Epoch(val) [220][425/500] eta: 0:00:03 time: 0.0469 data_time: 0.0030 memory: 1013 2022/11/02 14:40:35 - mmengine - INFO - Epoch(val) [220][430/500] eta: 0:00:03 time: 0.0510 data_time: 0.0035 memory: 1013 2022/11/02 14:40:36 - mmengine - INFO - Epoch(val) [220][435/500] eta: 0:00:03 time: 0.0465 data_time: 0.0032 memory: 1013 2022/11/02 14:40:36 - mmengine - INFO - Epoch(val) [220][440/500] eta: 0:00:02 time: 0.0472 data_time: 0.0029 memory: 1013 2022/11/02 14:40:36 - mmengine - INFO - Epoch(val) [220][445/500] eta: 0:00:02 time: 0.0473 data_time: 0.0025 memory: 1013 2022/11/02 14:40:36 - mmengine - INFO - Epoch(val) [220][450/500] eta: 0:00:02 time: 0.0469 data_time: 0.0024 memory: 1013 2022/11/02 14:40:37 - mmengine - INFO - Epoch(val) [220][455/500] eta: 0:00:02 time: 0.0478 data_time: 0.0030 memory: 1013 2022/11/02 14:40:37 - mmengine - INFO - Epoch(val) [220][460/500] eta: 0:00:01 time: 0.0450 data_time: 0.0031 memory: 1013 2022/11/02 14:40:37 - mmengine - INFO - Epoch(val) [220][465/500] eta: 0:00:01 time: 0.0411 data_time: 0.0028 memory: 1013 2022/11/02 14:40:37 - mmengine - INFO - Epoch(val) [220][470/500] eta: 0:00:01 time: 0.0432 data_time: 0.0028 memory: 1013 2022/11/02 14:40:37 - mmengine - INFO - Epoch(val) [220][475/500] eta: 0:00:01 time: 0.0439 data_time: 0.0027 memory: 1013 2022/11/02 14:40:38 - mmengine - INFO - Epoch(val) [220][480/500] eta: 0:00:00 time: 0.0477 data_time: 0.0035 memory: 1013 2022/11/02 14:40:38 - mmengine - INFO - Epoch(val) [220][485/500] eta: 0:00:00 time: 0.0465 data_time: 0.0035 memory: 1013 2022/11/02 14:40:38 - mmengine - INFO - Epoch(val) [220][490/500] eta: 0:00:00 time: 0.0460 data_time: 0.0029 memory: 1013 2022/11/02 14:40:38 - mmengine - INFO - Epoch(val) [220][495/500] eta: 0:00:00 time: 0.0498 data_time: 0.0029 memory: 1013 2022/11/02 14:40:39 - mmengine - INFO - Epoch(val) [220][500/500] eta: 0:00:00 time: 0.0473 data_time: 0.0028 memory: 1013 2022/11/02 14:40:39 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 14:40:39 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8031, precision: 0.6171, hmean: 0.6979 2022/11/02 14:40:39 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8031, precision: 0.7309, hmean: 0.7653 2022/11/02 14:40:39 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7935, precision: 0.8074, hmean: 0.8004 2022/11/02 14:40:39 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7602, precision: 0.8614, hmean: 0.8077 2022/11/02 14:40:39 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6582, precision: 0.9187, hmean: 0.7669 2022/11/02 14:40:39 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.1907, precision: 0.9659, hmean: 0.3185 2022/11/02 14:40:39 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0005, precision: 1.0000, hmean: 0.0010 2022/11/02 14:40:39 - mmengine - INFO - Epoch(val) [220][500/500] icdar/precision: 0.8614 icdar/recall: 0.7602 icdar/hmean: 0.8077 2022/11/02 14:40:45 - mmengine - INFO - Epoch(train) [221][5/63] lr: 1.8023e-03 eta: 0:00:00 time: 0.9090 data_time: 0.2466 memory: 16395 loss: 2.0101 loss_prob: 1.1972 loss_thr: 0.6182 loss_db: 0.1947 2022/11/02 14:40:49 - mmengine - INFO - Epoch(train) [221][10/63] lr: 1.8023e-03 eta: 10:51:30 time: 1.0146 data_time: 0.2522 memory: 16395 loss: 2.0805 loss_prob: 1.2447 loss_thr: 0.6308 loss_db: 0.2049 2022/11/02 14:40:52 - mmengine - INFO - Epoch(train) [221][15/63] lr: 1.8023e-03 eta: 10:51:30 time: 0.6997 data_time: 0.0130 memory: 16395 loss: 2.0617 loss_prob: 1.2357 loss_thr: 0.6275 loss_db: 0.1984 2022/11/02 14:40:55 - mmengine - INFO - Epoch(train) [221][20/63] lr: 1.8023e-03 eta: 10:51:24 time: 0.6336 data_time: 0.0091 memory: 16395 loss: 2.2371 loss_prob: 1.3667 loss_thr: 0.6563 loss_db: 0.2142 2022/11/02 14:40:58 - mmengine - INFO - Epoch(train) [221][25/63] lr: 1.8023e-03 eta: 10:51:24 time: 0.6106 data_time: 0.0308 memory: 16395 loss: 2.3501 loss_prob: 1.4547 loss_thr: 0.6675 loss_db: 0.2279 2022/11/02 14:41:02 - mmengine - INFO - Epoch(train) [221][30/63] lr: 1.8023e-03 eta: 10:51:21 time: 0.7021 data_time: 0.0398 memory: 16395 loss: 2.4825 loss_prob: 1.5494 loss_thr: 0.6850 loss_db: 0.2481 2022/11/02 14:41:05 - mmengine - INFO - Epoch(train) [221][35/63] lr: 1.8023e-03 eta: 10:51:21 time: 0.7051 data_time: 0.0354 memory: 16395 loss: 2.4329 loss_prob: 1.5072 loss_thr: 0.6837 loss_db: 0.2420 2022/11/02 14:41:08 - mmengine - INFO - Epoch(train) [221][40/63] lr: 1.8023e-03 eta: 10:51:13 time: 0.6029 data_time: 0.0238 memory: 16395 loss: 2.2485 loss_prob: 1.3741 loss_thr: 0.6581 loss_db: 0.2164 2022/11/02 14:41:11 - mmengine - INFO - Epoch(train) [221][45/63] lr: 1.8023e-03 eta: 10:51:13 time: 0.5973 data_time: 0.0082 memory: 16395 loss: 2.2200 loss_prob: 1.3514 loss_thr: 0.6564 loss_db: 0.2123 2022/11/02 14:41:14 - mmengine - INFO - Epoch(train) [221][50/63] lr: 1.8023e-03 eta: 10:51:06 time: 0.6167 data_time: 0.0251 memory: 16395 loss: 2.1627 loss_prob: 1.3307 loss_thr: 0.6151 loss_db: 0.2169 2022/11/02 14:41:19 - mmengine - INFO - Epoch(train) [221][55/63] lr: 1.8023e-03 eta: 10:51:06 time: 0.7339 data_time: 0.0265 memory: 16395 loss: 2.2154 loss_prob: 1.3645 loss_thr: 0.6260 loss_db: 0.2249 2022/11/02 14:41:22 - mmengine - INFO - Epoch(train) [221][60/63] lr: 1.8023e-03 eta: 10:51:04 time: 0.7358 data_time: 0.0123 memory: 16395 loss: 2.2041 loss_prob: 1.3204 loss_thr: 0.6716 loss_db: 0.2122 2022/11/02 14:41:23 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:41:30 - mmengine - INFO - Epoch(train) [222][5/63] lr: 1.8007e-03 eta: 10:51:04 time: 0.9084 data_time: 0.2220 memory: 16395 loss: 2.2747 loss_prob: 1.3540 loss_thr: 0.6990 loss_db: 0.2218 2022/11/02 14:41:33 - mmengine - INFO - Epoch(train) [222][10/63] lr: 1.8007e-03 eta: 10:51:04 time: 1.0090 data_time: 0.2227 memory: 16395 loss: 2.1212 loss_prob: 1.2685 loss_thr: 0.6485 loss_db: 0.2043 2022/11/02 14:41:37 - mmengine - INFO - Epoch(train) [222][15/63] lr: 1.8007e-03 eta: 10:51:04 time: 0.6817 data_time: 0.0118 memory: 16395 loss: 2.2359 loss_prob: 1.3514 loss_thr: 0.6695 loss_db: 0.2150 2022/11/02 14:41:40 - mmengine - INFO - Epoch(train) [222][20/63] lr: 1.8007e-03 eta: 10:50:59 time: 0.6457 data_time: 0.0112 memory: 16395 loss: 2.2701 loss_prob: 1.3828 loss_thr: 0.6672 loss_db: 0.2200 2022/11/02 14:41:43 - mmengine - INFO - Epoch(train) [222][25/63] lr: 1.8007e-03 eta: 10:50:59 time: 0.6170 data_time: 0.0134 memory: 16395 loss: 2.1378 loss_prob: 1.2828 loss_thr: 0.6481 loss_db: 0.2069 2022/11/02 14:41:46 - mmengine - INFO - Epoch(train) [222][30/63] lr: 1.8007e-03 eta: 10:50:51 time: 0.6027 data_time: 0.0424 memory: 16395 loss: 2.3256 loss_prob: 1.3999 loss_thr: 0.6992 loss_db: 0.2264 2022/11/02 14:41:49 - mmengine - INFO - Epoch(train) [222][35/63] lr: 1.8007e-03 eta: 10:50:51 time: 0.6147 data_time: 0.0350 memory: 16395 loss: 2.3444 loss_prob: 1.4133 loss_thr: 0.7059 loss_db: 0.2252 2022/11/02 14:41:52 - mmengine - INFO - Epoch(train) [222][40/63] lr: 1.8007e-03 eta: 10:50:45 time: 0.6414 data_time: 0.0125 memory: 16395 loss: 2.1331 loss_prob: 1.2757 loss_thr: 0.6541 loss_db: 0.2033 2022/11/02 14:41:56 - mmengine - INFO - Epoch(train) [222][45/63] lr: 1.8007e-03 eta: 10:50:45 time: 0.6650 data_time: 0.0127 memory: 16395 loss: 2.1189 loss_prob: 1.2734 loss_thr: 0.6421 loss_db: 0.2034 2022/11/02 14:41:59 - mmengine - INFO - Epoch(train) [222][50/63] lr: 1.8007e-03 eta: 10:50:41 time: 0.6863 data_time: 0.0135 memory: 16395 loss: 2.2120 loss_prob: 1.3407 loss_thr: 0.6536 loss_db: 0.2178 2022/11/02 14:42:02 - mmengine - INFO - Epoch(train) [222][55/63] lr: 1.8007e-03 eta: 10:50:41 time: 0.6604 data_time: 0.0246 memory: 16395 loss: 2.0958 loss_prob: 1.2555 loss_thr: 0.6355 loss_db: 0.2048 2022/11/02 14:42:05 - mmengine - INFO - Epoch(train) [222][60/63] lr: 1.8007e-03 eta: 10:50:34 time: 0.6147 data_time: 0.0215 memory: 16395 loss: 2.0968 loss_prob: 1.2531 loss_thr: 0.6356 loss_db: 0.2081 2022/11/02 14:42:06 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:42:13 - mmengine - INFO - Epoch(train) [223][5/63] lr: 1.7990e-03 eta: 10:50:34 time: 0.8816 data_time: 0.2176 memory: 16395 loss: 2.2755 loss_prob: 1.3865 loss_thr: 0.6658 loss_db: 0.2232 2022/11/02 14:42:15 - mmengine - INFO - Epoch(train) [223][10/63] lr: 1.7990e-03 eta: 10:50:29 time: 0.8990 data_time: 0.2259 memory: 16395 loss: 2.3087 loss_prob: 1.4259 loss_thr: 0.6556 loss_db: 0.2273 2022/11/02 14:42:18 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:42:18 - mmengine - INFO - Epoch(train) [223][15/63] lr: 1.7990e-03 eta: 10:50:29 time: 0.5395 data_time: 0.0178 memory: 16395 loss: 2.2492 loss_prob: 1.3722 loss_thr: 0.6561 loss_db: 0.2209 2022/11/02 14:42:21 - mmengine - INFO - Epoch(train) [223][20/63] lr: 1.7990e-03 eta: 10:50:18 time: 0.5288 data_time: 0.0087 memory: 16395 loss: 2.3007 loss_prob: 1.3958 loss_thr: 0.6793 loss_db: 0.2256 2022/11/02 14:42:24 - mmengine - INFO - Epoch(train) [223][25/63] lr: 1.7990e-03 eta: 10:50:18 time: 0.5518 data_time: 0.0253 memory: 16395 loss: 2.1090 loss_prob: 1.2449 loss_thr: 0.6657 loss_db: 0.1984 2022/11/02 14:42:27 - mmengine - INFO - Epoch(train) [223][30/63] lr: 1.7990e-03 eta: 10:50:09 time: 0.5764 data_time: 0.0348 memory: 16395 loss: 2.0397 loss_prob: 1.2017 loss_thr: 0.6479 loss_db: 0.1902 2022/11/02 14:42:30 - mmengine - INFO - Epoch(train) [223][35/63] lr: 1.7990e-03 eta: 10:50:09 time: 0.5899 data_time: 0.0238 memory: 16395 loss: 2.1147 loss_prob: 1.2650 loss_thr: 0.6479 loss_db: 0.2018 2022/11/02 14:42:32 - mmengine - INFO - Epoch(train) [223][40/63] lr: 1.7990e-03 eta: 10:50:00 time: 0.5641 data_time: 0.0117 memory: 16395 loss: 2.0006 loss_prob: 1.1796 loss_thr: 0.6337 loss_db: 0.1874 2022/11/02 14:42:35 - mmengine - INFO - Epoch(train) [223][45/63] lr: 1.7990e-03 eta: 10:50:00 time: 0.5595 data_time: 0.0053 memory: 16395 loss: 2.0159 loss_prob: 1.1907 loss_thr: 0.6328 loss_db: 0.1925 2022/11/02 14:42:38 - mmengine - INFO - Epoch(train) [223][50/63] lr: 1.7990e-03 eta: 10:49:51 time: 0.5794 data_time: 0.0177 memory: 16395 loss: 2.0967 loss_prob: 1.2531 loss_thr: 0.6423 loss_db: 0.2013 2022/11/02 14:42:42 - mmengine - INFO - Epoch(train) [223][55/63] lr: 1.7990e-03 eta: 10:49:51 time: 0.6985 data_time: 0.0272 memory: 16395 loss: 2.0628 loss_prob: 1.2411 loss_thr: 0.6241 loss_db: 0.1976 2022/11/02 14:42:45 - mmengine - INFO - Epoch(train) [223][60/63] lr: 1.7990e-03 eta: 10:49:49 time: 0.7337 data_time: 0.0251 memory: 16395 loss: 2.0588 loss_prob: 1.2339 loss_thr: 0.6261 loss_db: 0.1988 2022/11/02 14:42:47 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:42:53 - mmengine - INFO - Epoch(train) [224][5/63] lr: 1.7974e-03 eta: 10:49:49 time: 0.9305 data_time: 0.2774 memory: 16395 loss: 2.1751 loss_prob: 1.3289 loss_thr: 0.6336 loss_db: 0.2126 2022/11/02 14:42:56 - mmengine - INFO - Epoch(train) [224][10/63] lr: 1.7974e-03 eta: 10:49:45 time: 0.9285 data_time: 0.2782 memory: 16395 loss: 2.2415 loss_prob: 1.3816 loss_thr: 0.6440 loss_db: 0.2159 2022/11/02 14:42:59 - mmengine - INFO - Epoch(train) [224][15/63] lr: 1.7974e-03 eta: 10:49:45 time: 0.5949 data_time: 0.0090 memory: 16395 loss: 2.2279 loss_prob: 1.3681 loss_thr: 0.6398 loss_db: 0.2200 2022/11/02 14:43:02 - mmengine - INFO - Epoch(train) [224][20/63] lr: 1.7974e-03 eta: 10:49:36 time: 0.5595 data_time: 0.0081 memory: 16395 loss: 2.1586 loss_prob: 1.3007 loss_thr: 0.6440 loss_db: 0.2139 2022/11/02 14:43:05 - mmengine - INFO - Epoch(train) [224][25/63] lr: 1.7974e-03 eta: 10:49:36 time: 0.5719 data_time: 0.0170 memory: 16395 loss: 2.0779 loss_prob: 1.2298 loss_thr: 0.6491 loss_db: 0.1990 2022/11/02 14:43:08 - mmengine - INFO - Epoch(train) [224][30/63] lr: 1.7974e-03 eta: 10:49:31 time: 0.6716 data_time: 0.0362 memory: 16395 loss: 2.0850 loss_prob: 1.2527 loss_thr: 0.6331 loss_db: 0.1992 2022/11/02 14:43:11 - mmengine - INFO - Epoch(train) [224][35/63] lr: 1.7974e-03 eta: 10:49:31 time: 0.6431 data_time: 0.0248 memory: 16395 loss: 2.2098 loss_prob: 1.3505 loss_thr: 0.6432 loss_db: 0.2161 2022/11/02 14:43:15 - mmengine - INFO - Epoch(train) [224][40/63] lr: 1.7974e-03 eta: 10:49:24 time: 0.6242 data_time: 0.0115 memory: 16395 loss: 2.6877 loss_prob: 1.7260 loss_thr: 0.6827 loss_db: 0.2790 2022/11/02 14:43:19 - mmengine - INFO - Epoch(train) [224][45/63] lr: 1.7974e-03 eta: 10:49:24 time: 0.7532 data_time: 0.0117 memory: 16395 loss: 2.7250 loss_prob: 1.7397 loss_thr: 0.7058 loss_db: 0.2795 2022/11/02 14:43:22 - mmengine - INFO - Epoch(train) [224][50/63] lr: 1.7974e-03 eta: 10:49:22 time: 0.7335 data_time: 0.0345 memory: 16395 loss: 2.4189 loss_prob: 1.4738 loss_thr: 0.7055 loss_db: 0.2396 2022/11/02 14:43:25 - mmengine - INFO - Epoch(train) [224][55/63] lr: 1.7974e-03 eta: 10:49:22 time: 0.6523 data_time: 0.0364 memory: 16395 loss: 2.3773 loss_prob: 1.4565 loss_thr: 0.6827 loss_db: 0.2382 2022/11/02 14:43:28 - mmengine - INFO - Epoch(train) [224][60/63] lr: 1.7974e-03 eta: 10:49:17 time: 0.6502 data_time: 0.0086 memory: 16395 loss: 2.1278 loss_prob: 1.2785 loss_thr: 0.6443 loss_db: 0.2051 2022/11/02 14:43:30 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:43:37 - mmengine - INFO - Epoch(train) [225][5/63] lr: 1.7957e-03 eta: 10:49:17 time: 0.9665 data_time: 0.2435 memory: 16395 loss: 1.9155 loss_prob: 1.1238 loss_thr: 0.6110 loss_db: 0.1807 2022/11/02 14:43:39 - mmengine - INFO - Epoch(train) [225][10/63] lr: 1.7957e-03 eta: 10:49:13 time: 0.9337 data_time: 0.2476 memory: 16395 loss: 2.1074 loss_prob: 1.2707 loss_thr: 0.6323 loss_db: 0.2044 2022/11/02 14:43:43 - mmengine - INFO - Epoch(train) [225][15/63] lr: 1.7957e-03 eta: 10:49:13 time: 0.6162 data_time: 0.0150 memory: 16395 loss: 2.1212 loss_prob: 1.2546 loss_thr: 0.6637 loss_db: 0.2030 2022/11/02 14:43:46 - mmengine - INFO - Epoch(train) [225][20/63] lr: 1.7957e-03 eta: 10:49:07 time: 0.6237 data_time: 0.0068 memory: 16395 loss: 2.1233 loss_prob: 1.2490 loss_thr: 0.6743 loss_db: 0.2000 2022/11/02 14:43:49 - mmengine - INFO - Epoch(train) [225][25/63] lr: 1.7957e-03 eta: 10:49:07 time: 0.6113 data_time: 0.0419 memory: 16395 loss: 2.1537 loss_prob: 1.2858 loss_thr: 0.6639 loss_db: 0.2041 2022/11/02 14:43:52 - mmengine - INFO - Epoch(train) [225][30/63] lr: 1.7957e-03 eta: 10:49:01 time: 0.6410 data_time: 0.0579 memory: 16395 loss: 2.1905 loss_prob: 1.3312 loss_thr: 0.6398 loss_db: 0.2196 2022/11/02 14:43:55 - mmengine - INFO - Epoch(train) [225][35/63] lr: 1.7957e-03 eta: 10:49:01 time: 0.6001 data_time: 0.0246 memory: 16395 loss: 2.3396 loss_prob: 1.4345 loss_thr: 0.6655 loss_db: 0.2397 2022/11/02 14:43:59 - mmengine - INFO - Epoch(train) [225][40/63] lr: 1.7957e-03 eta: 10:48:57 time: 0.6988 data_time: 0.0085 memory: 16395 loss: 2.6149 loss_prob: 1.6392 loss_thr: 0.6997 loss_db: 0.2759 2022/11/02 14:44:02 - mmengine - INFO - Epoch(train) [225][45/63] lr: 1.7957e-03 eta: 10:48:57 time: 0.7205 data_time: 0.0093 memory: 16395 loss: 2.7234 loss_prob: 1.7365 loss_thr: 0.6914 loss_db: 0.2955 2022/11/02 14:44:05 - mmengine - INFO - Epoch(train) [225][50/63] lr: 1.7957e-03 eta: 10:48:51 time: 0.6420 data_time: 0.0263 memory: 16395 loss: 2.4677 loss_prob: 1.5341 loss_thr: 0.6756 loss_db: 0.2580 2022/11/02 14:44:08 - mmengine - INFO - Epoch(train) [225][55/63] lr: 1.7957e-03 eta: 10:48:51 time: 0.6440 data_time: 0.0331 memory: 16395 loss: 2.4553 loss_prob: 1.5166 loss_thr: 0.6842 loss_db: 0.2545 2022/11/02 14:44:12 - mmengine - INFO - Epoch(train) [225][60/63] lr: 1.7957e-03 eta: 10:48:45 time: 0.6382 data_time: 0.0187 memory: 16395 loss: 2.4325 loss_prob: 1.5081 loss_thr: 0.6723 loss_db: 0.2521 2022/11/02 14:44:13 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:44:20 - mmengine - INFO - Epoch(train) [226][5/63] lr: 1.7941e-03 eta: 10:48:45 time: 0.9589 data_time: 0.2823 memory: 16395 loss: 2.1546 loss_prob: 1.2902 loss_thr: 0.6606 loss_db: 0.2038 2022/11/02 14:44:24 - mmengine - INFO - Epoch(train) [226][10/63] lr: 1.7941e-03 eta: 10:48:46 time: 1.0348 data_time: 0.2862 memory: 16395 loss: 2.2366 loss_prob: 1.3335 loss_thr: 0.6864 loss_db: 0.2167 2022/11/02 14:44:28 - mmengine - INFO - Epoch(train) [226][15/63] lr: 1.7941e-03 eta: 10:48:46 time: 0.7504 data_time: 0.0142 memory: 16395 loss: 2.3594 loss_prob: 1.4249 loss_thr: 0.6980 loss_db: 0.2365 2022/11/02 14:44:31 - mmengine - INFO - Epoch(train) [226][20/63] lr: 1.7941e-03 eta: 10:48:42 time: 0.6831 data_time: 0.0100 memory: 16395 loss: 2.2746 loss_prob: 1.3595 loss_thr: 0.6980 loss_db: 0.2171 2022/11/02 14:44:34 - mmengine - INFO - Epoch(train) [226][25/63] lr: 1.7941e-03 eta: 10:48:42 time: 0.5973 data_time: 0.0217 memory: 16395 loss: 2.2660 loss_prob: 1.3605 loss_thr: 0.6875 loss_db: 0.2180 2022/11/02 14:44:38 - mmengine - INFO - Epoch(train) [226][30/63] lr: 1.7941e-03 eta: 10:48:40 time: 0.7517 data_time: 0.0497 memory: 16395 loss: 2.2783 loss_prob: 1.3971 loss_thr: 0.6555 loss_db: 0.2257 2022/11/02 14:44:41 - mmengine - INFO - Epoch(train) [226][35/63] lr: 1.7941e-03 eta: 10:48:40 time: 0.7433 data_time: 0.0402 memory: 16395 loss: 2.2521 loss_prob: 1.3921 loss_thr: 0.6352 loss_db: 0.2249 2022/11/02 14:44:44 - mmengine - INFO - Epoch(train) [226][40/63] lr: 1.7941e-03 eta: 10:48:34 time: 0.6331 data_time: 0.0186 memory: 16395 loss: 2.2665 loss_prob: 1.3934 loss_thr: 0.6421 loss_db: 0.2310 2022/11/02 14:44:47 - mmengine - INFO - Epoch(train) [226][45/63] lr: 1.7941e-03 eta: 10:48:34 time: 0.6413 data_time: 0.0123 memory: 16395 loss: 2.8424 loss_prob: 1.8214 loss_thr: 0.7149 loss_db: 0.3062 2022/11/02 14:44:50 - mmengine - INFO - Epoch(train) [226][50/63] lr: 1.7941e-03 eta: 10:48:26 time: 0.6006 data_time: 0.0159 memory: 16395 loss: 2.7702 loss_prob: 1.7558 loss_thr: 0.7235 loss_db: 0.2909 2022/11/02 14:44:53 - mmengine - INFO - Epoch(train) [226][55/63] lr: 1.7941e-03 eta: 10:48:26 time: 0.6134 data_time: 0.0272 memory: 16395 loss: 2.3006 loss_prob: 1.3884 loss_thr: 0.6860 loss_db: 0.2262 2022/11/02 14:44:57 - mmengine - INFO - Epoch(train) [226][60/63] lr: 1.7941e-03 eta: 10:48:21 time: 0.6555 data_time: 0.0178 memory: 16395 loss: 2.5793 loss_prob: 1.6045 loss_thr: 0.7116 loss_db: 0.2633 2022/11/02 14:44:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:45:05 - mmengine - INFO - Epoch(train) [227][5/63] lr: 1.7924e-03 eta: 10:48:21 time: 0.9472 data_time: 0.2399 memory: 16395 loss: 2.4222 loss_prob: 1.4965 loss_thr: 0.6803 loss_db: 0.2454 2022/11/02 14:45:08 - mmengine - INFO - Epoch(train) [227][10/63] lr: 1.7924e-03 eta: 10:48:21 time: 1.0102 data_time: 0.2397 memory: 16395 loss: 2.2798 loss_prob: 1.3932 loss_thr: 0.6608 loss_db: 0.2258 2022/11/02 14:45:12 - mmengine - INFO - Epoch(train) [227][15/63] lr: 1.7924e-03 eta: 10:48:21 time: 0.6763 data_time: 0.0082 memory: 16395 loss: 2.4009 loss_prob: 1.4703 loss_thr: 0.6884 loss_db: 0.2422 2022/11/02 14:45:15 - mmengine - INFO - Epoch(train) [227][20/63] lr: 1.7924e-03 eta: 10:48:14 time: 0.6400 data_time: 0.0134 memory: 16395 loss: 2.4225 loss_prob: 1.4789 loss_thr: 0.6984 loss_db: 0.2452 2022/11/02 14:45:19 - mmengine - INFO - Epoch(train) [227][25/63] lr: 1.7924e-03 eta: 10:48:14 time: 0.7437 data_time: 0.0322 memory: 16395 loss: 2.2199 loss_prob: 1.3414 loss_thr: 0.6618 loss_db: 0.2167 2022/11/02 14:45:22 - mmengine - INFO - Epoch(train) [227][30/63] lr: 1.7924e-03 eta: 10:48:13 time: 0.7529 data_time: 0.0435 memory: 16395 loss: 2.1672 loss_prob: 1.3000 loss_thr: 0.6569 loss_db: 0.2103 2022/11/02 14:45:26 - mmengine - INFO - Epoch(train) [227][35/63] lr: 1.7924e-03 eta: 10:48:13 time: 0.6969 data_time: 0.0244 memory: 16395 loss: 2.3488 loss_prob: 1.4371 loss_thr: 0.6807 loss_db: 0.2310 2022/11/02 14:45:29 - mmengine - INFO - Epoch(train) [227][40/63] lr: 1.7924e-03 eta: 10:48:09 time: 0.6726 data_time: 0.0082 memory: 16395 loss: 2.4749 loss_prob: 1.5590 loss_thr: 0.6606 loss_db: 0.2553 2022/11/02 14:45:33 - mmengine - INFO - Epoch(train) [227][45/63] lr: 1.7924e-03 eta: 10:48:09 time: 0.6915 data_time: 0.0105 memory: 16395 loss: 2.2821 loss_prob: 1.4148 loss_thr: 0.6343 loss_db: 0.2330 2022/11/02 14:45:37 - mmengine - INFO - Epoch(train) [227][50/63] lr: 1.7924e-03 eta: 10:48:07 time: 0.7511 data_time: 0.0237 memory: 16395 loss: 2.2524 loss_prob: 1.3855 loss_thr: 0.6489 loss_db: 0.2180 2022/11/02 14:45:40 - mmengine - INFO - Epoch(train) [227][55/63] lr: 1.7924e-03 eta: 10:48:07 time: 0.6600 data_time: 0.0295 memory: 16395 loss: 2.2712 loss_prob: 1.3920 loss_thr: 0.6590 loss_db: 0.2202 2022/11/02 14:45:42 - mmengine - INFO - Epoch(train) [227][60/63] lr: 1.7924e-03 eta: 10:47:58 time: 0.5581 data_time: 0.0154 memory: 16395 loss: 2.1943 loss_prob: 1.3101 loss_thr: 0.6747 loss_db: 0.2094 2022/11/02 14:45:44 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:45:49 - mmengine - INFO - Epoch(train) [228][5/63] lr: 1.7907e-03 eta: 10:47:58 time: 0.7959 data_time: 0.2395 memory: 16395 loss: 2.1719 loss_prob: 1.3081 loss_thr: 0.6534 loss_db: 0.2105 2022/11/02 14:45:52 - mmengine - INFO - Epoch(train) [228][10/63] lr: 1.7907e-03 eta: 10:47:50 time: 0.8350 data_time: 0.2436 memory: 16395 loss: 2.2555 loss_prob: 1.3732 loss_thr: 0.6570 loss_db: 0.2254 2022/11/02 14:45:57 - mmengine - INFO - Epoch(train) [228][15/63] lr: 1.7907e-03 eta: 10:47:50 time: 0.7367 data_time: 0.0117 memory: 16395 loss: 2.3025 loss_prob: 1.4016 loss_thr: 0.6705 loss_db: 0.2305 2022/11/02 14:46:00 - mmengine - INFO - Epoch(train) [228][20/63] lr: 1.7907e-03 eta: 10:47:49 time: 0.7561 data_time: 0.0119 memory: 16395 loss: 2.4759 loss_prob: 1.5276 loss_thr: 0.7025 loss_db: 0.2458 2022/11/02 14:46:03 - mmengine - INFO - Epoch(train) [228][25/63] lr: 1.7907e-03 eta: 10:47:49 time: 0.6538 data_time: 0.0374 memory: 16395 loss: 2.4791 loss_prob: 1.5395 loss_thr: 0.6966 loss_db: 0.2429 2022/11/02 14:46:06 - mmengine - INFO - Epoch(train) [228][30/63] lr: 1.7907e-03 eta: 10:47:43 time: 0.6537 data_time: 0.0419 memory: 16395 loss: 2.2381 loss_prob: 1.3727 loss_thr: 0.6503 loss_db: 0.2152 2022/11/02 14:46:09 - mmengine - INFO - Epoch(train) [228][35/63] lr: 1.7907e-03 eta: 10:47:43 time: 0.5688 data_time: 0.0142 memory: 16395 loss: 2.1385 loss_prob: 1.2884 loss_thr: 0.6457 loss_db: 0.2043 2022/11/02 14:46:11 - mmengine - INFO - Epoch(train) [228][40/63] lr: 1.7907e-03 eta: 10:47:32 time: 0.5173 data_time: 0.0090 memory: 16395 loss: 2.1287 loss_prob: 1.2698 loss_thr: 0.6538 loss_db: 0.2051 2022/11/02 14:46:14 - mmengine - INFO - Epoch(train) [228][45/63] lr: 1.7907e-03 eta: 10:47:32 time: 0.5631 data_time: 0.0116 memory: 16395 loss: 2.2840 loss_prob: 1.3774 loss_thr: 0.6804 loss_db: 0.2262 2022/11/02 14:46:18 - mmengine - INFO - Epoch(train) [228][50/63] lr: 1.7907e-03 eta: 10:47:28 time: 0.7012 data_time: 0.0270 memory: 16395 loss: 2.2842 loss_prob: 1.3910 loss_thr: 0.6697 loss_db: 0.2235 2022/11/02 14:46:21 - mmengine - INFO - Epoch(train) [228][55/63] lr: 1.7907e-03 eta: 10:47:28 time: 0.6633 data_time: 0.0359 memory: 16395 loss: 2.3801 loss_prob: 1.4677 loss_thr: 0.6754 loss_db: 0.2370 2022/11/02 14:46:24 - mmengine - INFO - Epoch(train) [228][60/63] lr: 1.7907e-03 eta: 10:47:20 time: 0.5817 data_time: 0.0217 memory: 16395 loss: 2.4035 loss_prob: 1.4807 loss_thr: 0.6820 loss_db: 0.2408 2022/11/02 14:46:26 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:46:32 - mmengine - INFO - Epoch(train) [229][5/63] lr: 1.7891e-03 eta: 10:47:20 time: 0.8562 data_time: 0.2261 memory: 16395 loss: 2.2419 loss_prob: 1.3731 loss_thr: 0.6506 loss_db: 0.2182 2022/11/02 14:46:35 - mmengine - INFO - Epoch(train) [229][10/63] lr: 1.7891e-03 eta: 10:47:15 time: 0.9036 data_time: 0.2377 memory: 16395 loss: 2.3444 loss_prob: 1.4390 loss_thr: 0.6779 loss_db: 0.2274 2022/11/02 14:46:38 - mmengine - INFO - Epoch(train) [229][15/63] lr: 1.7891e-03 eta: 10:47:15 time: 0.6614 data_time: 0.0222 memory: 16395 loss: 2.4323 loss_prob: 1.5171 loss_thr: 0.6719 loss_db: 0.2433 2022/11/02 14:46:41 - mmengine - INFO - Epoch(train) [229][20/63] lr: 1.7891e-03 eta: 10:47:07 time: 0.6044 data_time: 0.0098 memory: 16395 loss: 2.4991 loss_prob: 1.5226 loss_thr: 0.7238 loss_db: 0.2528 2022/11/02 14:46:44 - mmengine - INFO - Epoch(train) [229][25/63] lr: 1.7891e-03 eta: 10:47:07 time: 0.6005 data_time: 0.0196 memory: 16395 loss: 2.3479 loss_prob: 1.4009 loss_thr: 0.7150 loss_db: 0.2320 2022/11/02 14:46:47 - mmengine - INFO - Epoch(train) [229][30/63] lr: 1.7891e-03 eta: 10:47:02 time: 0.6552 data_time: 0.0411 memory: 16395 loss: 2.0978 loss_prob: 1.2440 loss_thr: 0.6545 loss_db: 0.1993 2022/11/02 14:46:51 - mmengine - INFO - Epoch(train) [229][35/63] lr: 1.7891e-03 eta: 10:47:02 time: 0.6357 data_time: 0.0318 memory: 16395 loss: 2.1439 loss_prob: 1.2771 loss_thr: 0.6620 loss_db: 0.2049 2022/11/02 14:46:54 - mmengine - INFO - Epoch(train) [229][40/63] lr: 1.7891e-03 eta: 10:46:56 time: 0.6462 data_time: 0.0109 memory: 16395 loss: 2.2346 loss_prob: 1.3506 loss_thr: 0.6624 loss_db: 0.2216 2022/11/02 14:46:57 - mmengine - INFO - Epoch(train) [229][45/63] lr: 1.7891e-03 eta: 10:46:56 time: 0.6752 data_time: 0.0073 memory: 16395 loss: 2.3506 loss_prob: 1.4557 loss_thr: 0.6579 loss_db: 0.2370 2022/11/02 14:47:01 - mmengine - INFO - Epoch(train) [229][50/63] lr: 1.7891e-03 eta: 10:46:53 time: 0.7127 data_time: 0.0194 memory: 16395 loss: 2.3212 loss_prob: 1.4192 loss_thr: 0.6727 loss_db: 0.2293 2022/11/02 14:47:04 - mmengine - INFO - Epoch(train) [229][55/63] lr: 1.7891e-03 eta: 10:46:53 time: 0.7095 data_time: 0.0388 memory: 16395 loss: 2.0361 loss_prob: 1.2125 loss_thr: 0.6276 loss_db: 0.1961 2022/11/02 14:47:07 - mmengine - INFO - Epoch(train) [229][60/63] lr: 1.7891e-03 eta: 10:46:48 time: 0.6653 data_time: 0.0248 memory: 16395 loss: 2.0329 loss_prob: 1.1970 loss_thr: 0.6429 loss_db: 0.1929 2022/11/02 14:47:09 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:47:16 - mmengine - INFO - Epoch(train) [230][5/63] lr: 1.7874e-03 eta: 10:46:48 time: 1.0107 data_time: 0.2556 memory: 16395 loss: 2.3095 loss_prob: 1.3910 loss_thr: 0.6887 loss_db: 0.2298 2022/11/02 14:47:20 - mmengine - INFO - Epoch(train) [230][10/63] lr: 1.7874e-03 eta: 10:46:53 time: 1.1345 data_time: 0.2539 memory: 16395 loss: 2.3434 loss_prob: 1.4298 loss_thr: 0.6782 loss_db: 0.2354 2022/11/02 14:47:23 - mmengine - INFO - Epoch(train) [230][15/63] lr: 1.7874e-03 eta: 10:46:53 time: 0.7293 data_time: 0.0102 memory: 16395 loss: 2.1778 loss_prob: 1.3126 loss_thr: 0.6521 loss_db: 0.2131 2022/11/02 14:47:27 - mmengine - INFO - Epoch(train) [230][20/63] lr: 1.7874e-03 eta: 10:46:47 time: 0.6412 data_time: 0.0106 memory: 16395 loss: 2.1852 loss_prob: 1.3467 loss_thr: 0.6214 loss_db: 0.2171 2022/11/02 14:47:30 - mmengine - INFO - Epoch(train) [230][25/63] lr: 1.7874e-03 eta: 10:46:47 time: 0.6760 data_time: 0.0180 memory: 16395 loss: 2.2065 loss_prob: 1.3581 loss_thr: 0.6318 loss_db: 0.2166 2022/11/02 14:47:34 - mmengine - INFO - Epoch(train) [230][30/63] lr: 1.7874e-03 eta: 10:46:42 time: 0.6825 data_time: 0.0401 memory: 16395 loss: 2.3884 loss_prob: 1.4830 loss_thr: 0.6640 loss_db: 0.2413 2022/11/02 14:47:36 - mmengine - INFO - Epoch(train) [230][35/63] lr: 1.7874e-03 eta: 10:46:42 time: 0.6038 data_time: 0.0320 memory: 16395 loss: 2.4354 loss_prob: 1.5144 loss_thr: 0.6751 loss_db: 0.2459 2022/11/02 14:47:40 - mmengine - INFO - Epoch(train) [230][40/63] lr: 1.7874e-03 eta: 10:46:36 time: 0.6277 data_time: 0.0084 memory: 16395 loss: 2.0614 loss_prob: 1.2349 loss_thr: 0.6316 loss_db: 0.1950 2022/11/02 14:47:43 - mmengine - INFO - Epoch(train) [230][45/63] lr: 1.7874e-03 eta: 10:46:36 time: 0.6550 data_time: 0.0085 memory: 16395 loss: 2.1305 loss_prob: 1.3064 loss_thr: 0.6184 loss_db: 0.2058 2022/11/02 14:47:46 - mmengine - INFO - Epoch(train) [230][50/63] lr: 1.7874e-03 eta: 10:46:30 time: 0.6384 data_time: 0.0194 memory: 16395 loss: 2.2226 loss_prob: 1.3533 loss_thr: 0.6534 loss_db: 0.2159 2022/11/02 14:47:50 - mmengine - INFO - Epoch(train) [230][55/63] lr: 1.7874e-03 eta: 10:46:30 time: 0.7247 data_time: 0.0270 memory: 16395 loss: 2.1296 loss_prob: 1.2684 loss_thr: 0.6597 loss_db: 0.2015 2022/11/02 14:47:53 - mmengine - INFO - Epoch(train) [230][60/63] lr: 1.7874e-03 eta: 10:46:24 time: 0.6515 data_time: 0.0157 memory: 16395 loss: 2.0714 loss_prob: 1.2299 loss_thr: 0.6456 loss_db: 0.1959 2022/11/02 14:47:55 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:48:00 - mmengine - INFO - Epoch(train) [231][5/63] lr: 1.7858e-03 eta: 10:46:24 time: 0.8277 data_time: 0.2317 memory: 16395 loss: 2.0309 loss_prob: 1.2178 loss_thr: 0.6185 loss_db: 0.1946 2022/11/02 14:48:04 - mmengine - INFO - Epoch(train) [231][10/63] lr: 1.7858e-03 eta: 10:46:18 time: 0.8748 data_time: 0.2277 memory: 16395 loss: 2.0434 loss_prob: 1.2306 loss_thr: 0.6180 loss_db: 0.1948 2022/11/02 14:48:07 - mmengine - INFO - Epoch(train) [231][15/63] lr: 1.7858e-03 eta: 10:46:18 time: 0.7106 data_time: 0.0117 memory: 16395 loss: 2.1013 loss_prob: 1.2619 loss_thr: 0.6430 loss_db: 0.1964 2022/11/02 14:48:10 - mmengine - INFO - Epoch(train) [231][20/63] lr: 1.7858e-03 eta: 10:46:14 time: 0.6921 data_time: 0.0137 memory: 16395 loss: 2.2370 loss_prob: 1.3521 loss_thr: 0.6682 loss_db: 0.2167 2022/11/02 14:48:14 - mmengine - INFO - Epoch(train) [231][25/63] lr: 1.7858e-03 eta: 10:46:14 time: 0.6944 data_time: 0.0426 memory: 16395 loss: 2.1124 loss_prob: 1.2618 loss_thr: 0.6419 loss_db: 0.2087 2022/11/02 14:48:17 - mmengine - INFO - Epoch(train) [231][30/63] lr: 1.7858e-03 eta: 10:46:08 time: 0.6381 data_time: 0.0438 memory: 16395 loss: 2.0198 loss_prob: 1.1774 loss_thr: 0.6487 loss_db: 0.1937 2022/11/02 14:48:20 - mmengine - INFO - Epoch(train) [231][35/63] lr: 1.7858e-03 eta: 10:46:08 time: 0.6358 data_time: 0.0111 memory: 16395 loss: 2.2642 loss_prob: 1.3597 loss_thr: 0.6831 loss_db: 0.2213 2022/11/02 14:48:24 - mmengine - INFO - Epoch(train) [231][40/63] lr: 1.7858e-03 eta: 10:46:06 time: 0.7355 data_time: 0.0131 memory: 16395 loss: 2.2623 loss_prob: 1.3739 loss_thr: 0.6693 loss_db: 0.2191 2022/11/02 14:48:28 - mmengine - INFO - Epoch(train) [231][45/63] lr: 1.7858e-03 eta: 10:46:06 time: 0.7536 data_time: 0.0131 memory: 16395 loss: 2.1335 loss_prob: 1.2765 loss_thr: 0.6497 loss_db: 0.2073 2022/11/02 14:48:32 - mmengine - INFO - Epoch(train) [231][50/63] lr: 1.7858e-03 eta: 10:46:04 time: 0.7458 data_time: 0.0465 memory: 16395 loss: 2.2380 loss_prob: 1.3756 loss_thr: 0.6353 loss_db: 0.2271 2022/11/02 14:48:35 - mmengine - INFO - Epoch(train) [231][55/63] lr: 1.7858e-03 eta: 10:46:04 time: 0.6918 data_time: 0.0463 memory: 16395 loss: 2.2117 loss_prob: 1.3657 loss_thr: 0.6250 loss_db: 0.2210 2022/11/02 14:48:38 - mmengine - INFO - Epoch(train) [231][60/63] lr: 1.7858e-03 eta: 10:45:58 time: 0.6369 data_time: 0.0111 memory: 16395 loss: 2.2104 loss_prob: 1.3476 loss_thr: 0.6419 loss_db: 0.2209 2022/11/02 14:48:40 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:48:47 - mmengine - INFO - Epoch(train) [232][5/63] lr: 1.7841e-03 eta: 10:45:58 time: 1.0013 data_time: 0.2331 memory: 16395 loss: 2.0531 loss_prob: 1.2108 loss_thr: 0.6446 loss_db: 0.1977 2022/11/02 14:48:50 - mmengine - INFO - Epoch(train) [232][10/63] lr: 1.7841e-03 eta: 10:46:00 time: 1.0888 data_time: 0.2387 memory: 16395 loss: 2.3292 loss_prob: 1.4350 loss_thr: 0.6583 loss_db: 0.2360 2022/11/02 14:48:54 - mmengine - INFO - Epoch(train) [232][15/63] lr: 1.7841e-03 eta: 10:46:00 time: 0.7019 data_time: 0.0170 memory: 16395 loss: 2.5700 loss_prob: 1.6169 loss_thr: 0.6816 loss_db: 0.2714 2022/11/02 14:48:57 - mmengine - INFO - Epoch(train) [232][20/63] lr: 1.7841e-03 eta: 10:45:53 time: 0.6067 data_time: 0.0108 memory: 16395 loss: 2.3885 loss_prob: 1.4624 loss_thr: 0.6808 loss_db: 0.2453 2022/11/02 14:49:00 - mmengine - INFO - Epoch(train) [232][25/63] lr: 1.7841e-03 eta: 10:45:53 time: 0.5761 data_time: 0.0085 memory: 16395 loss: 2.2068 loss_prob: 1.3295 loss_thr: 0.6568 loss_db: 0.2206 2022/11/02 14:49:03 - mmengine - INFO - Epoch(train) [232][30/63] lr: 1.7841e-03 eta: 10:45:46 time: 0.6203 data_time: 0.0405 memory: 16395 loss: 2.3090 loss_prob: 1.4298 loss_thr: 0.6467 loss_db: 0.2324 2022/11/02 14:49:08 - mmengine - INFO - Epoch(train) [232][35/63] lr: 1.7841e-03 eta: 10:45:46 time: 0.7967 data_time: 0.0427 memory: 16395 loss: 2.4186 loss_prob: 1.5122 loss_thr: 0.6692 loss_db: 0.2372 2022/11/02 14:49:11 - mmengine - INFO - Epoch(train) [232][40/63] lr: 1.7841e-03 eta: 10:45:46 time: 0.7864 data_time: 0.0115 memory: 16395 loss: 2.4703 loss_prob: 1.5340 loss_thr: 0.6963 loss_db: 0.2400 2022/11/02 14:49:14 - mmengine - INFO - Epoch(train) [232][45/63] lr: 1.7841e-03 eta: 10:45:46 time: 0.6439 data_time: 0.0123 memory: 16395 loss: 2.2977 loss_prob: 1.4024 loss_thr: 0.6698 loss_db: 0.2255 2022/11/02 14:49:18 - mmengine - INFO - Epoch(train) [232][50/63] lr: 1.7841e-03 eta: 10:45:42 time: 0.6981 data_time: 0.0237 memory: 16395 loss: 2.1035 loss_prob: 1.2629 loss_thr: 0.6386 loss_db: 0.2020 2022/11/02 14:49:21 - mmengine - INFO - Epoch(train) [232][55/63] lr: 1.7841e-03 eta: 10:45:42 time: 0.6703 data_time: 0.0243 memory: 16395 loss: 2.2212 loss_prob: 1.3407 loss_thr: 0.6624 loss_db: 0.2180 2022/11/02 14:49:24 - mmengine - INFO - Epoch(train) [232][60/63] lr: 1.7841e-03 eta: 10:45:35 time: 0.6127 data_time: 0.0147 memory: 16395 loss: 2.2324 loss_prob: 1.3355 loss_thr: 0.6754 loss_db: 0.2215 2022/11/02 14:49:25 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:49:32 - mmengine - INFO - Epoch(train) [233][5/63] lr: 1.7825e-03 eta: 10:45:35 time: 0.8863 data_time: 0.2184 memory: 16395 loss: 2.0446 loss_prob: 1.2127 loss_thr: 0.6356 loss_db: 0.1963 2022/11/02 14:49:35 - mmengine - INFO - Epoch(train) [233][10/63] lr: 1.7825e-03 eta: 10:45:34 time: 0.9961 data_time: 0.2212 memory: 16395 loss: 2.1207 loss_prob: 1.2691 loss_thr: 0.6415 loss_db: 0.2101 2022/11/02 14:49:38 - mmengine - INFO - Epoch(train) [233][15/63] lr: 1.7825e-03 eta: 10:45:34 time: 0.6695 data_time: 0.0119 memory: 16395 loss: 2.1739 loss_prob: 1.3122 loss_thr: 0.6456 loss_db: 0.2160 2022/11/02 14:49:41 - mmengine - INFO - Epoch(train) [233][20/63] lr: 1.7825e-03 eta: 10:45:26 time: 0.6027 data_time: 0.0085 memory: 16395 loss: 2.1591 loss_prob: 1.3001 loss_thr: 0.6457 loss_db: 0.2134 2022/11/02 14:49:45 - mmengine - INFO - Epoch(train) [233][25/63] lr: 1.7825e-03 eta: 10:45:26 time: 0.6945 data_time: 0.0318 memory: 16395 loss: 2.4802 loss_prob: 1.5416 loss_thr: 0.6884 loss_db: 0.2502 2022/11/02 14:49:49 - mmengine - INFO - Epoch(train) [233][30/63] lr: 1.7825e-03 eta: 10:45:27 time: 0.7989 data_time: 0.0527 memory: 16395 loss: 2.5921 loss_prob: 1.6289 loss_thr: 0.7037 loss_db: 0.2594 2022/11/02 14:49:52 - mmengine - INFO - Epoch(train) [233][35/63] lr: 1.7825e-03 eta: 10:45:27 time: 0.6857 data_time: 0.0314 memory: 16395 loss: 2.4703 loss_prob: 1.5200 loss_thr: 0.6980 loss_db: 0.2524 2022/11/02 14:49:56 - mmengine - INFO - Epoch(train) [233][40/63] lr: 1.7825e-03 eta: 10:45:21 time: 0.6533 data_time: 0.0086 memory: 16395 loss: 2.5048 loss_prob: 1.5567 loss_thr: 0.6832 loss_db: 0.2649 2022/11/02 14:49:59 - mmengine - INFO - Epoch(train) [233][45/63] lr: 1.7825e-03 eta: 10:45:21 time: 0.6446 data_time: 0.0079 memory: 16395 loss: 2.4713 loss_prob: 1.5375 loss_thr: 0.6774 loss_db: 0.2564 2022/11/02 14:50:02 - mmengine - INFO - Epoch(train) [233][50/63] lr: 1.7825e-03 eta: 10:45:16 time: 0.6719 data_time: 0.0174 memory: 16395 loss: 2.3873 loss_prob: 1.4630 loss_thr: 0.6894 loss_db: 0.2350 2022/11/02 14:50:06 - mmengine - INFO - Epoch(train) [233][55/63] lr: 1.7825e-03 eta: 10:45:16 time: 0.7032 data_time: 0.0294 memory: 16395 loss: 2.3499 loss_prob: 1.4509 loss_thr: 0.6656 loss_db: 0.2334 2022/11/02 14:50:08 - mmengine - INFO - Epoch(train) [233][60/63] lr: 1.7825e-03 eta: 10:45:09 time: 0.6113 data_time: 0.0237 memory: 16395 loss: 2.3481 loss_prob: 1.4549 loss_thr: 0.6540 loss_db: 0.2392 2022/11/02 14:50:10 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:50:16 - mmengine - INFO - Epoch(train) [234][5/63] lr: 1.7808e-03 eta: 10:45:09 time: 0.9040 data_time: 0.2644 memory: 16395 loss: 2.1362 loss_prob: 1.2802 loss_thr: 0.6524 loss_db: 0.2036 2022/11/02 14:50:20 - mmengine - INFO - Epoch(train) [234][10/63] lr: 1.7808e-03 eta: 10:45:06 time: 0.9496 data_time: 0.2627 memory: 16395 loss: 2.1311 loss_prob: 1.2797 loss_thr: 0.6431 loss_db: 0.2082 2022/11/02 14:50:25 - mmengine - INFO - Epoch(train) [234][15/63] lr: 1.7808e-03 eta: 10:45:06 time: 0.8321 data_time: 0.0082 memory: 16395 loss: 2.0694 loss_prob: 1.2289 loss_thr: 0.6390 loss_db: 0.2015 2022/11/02 14:50:29 - mmengine - INFO - Epoch(train) [234][20/63] lr: 1.7808e-03 eta: 10:45:09 time: 0.8811 data_time: 0.0079 memory: 16395 loss: 2.2246 loss_prob: 1.3494 loss_thr: 0.6544 loss_db: 0.2207 2022/11/02 14:50:32 - mmengine - INFO - Epoch(train) [234][25/63] lr: 1.7808e-03 eta: 10:45:09 time: 0.6885 data_time: 0.0068 memory: 16395 loss: 2.3029 loss_prob: 1.4047 loss_thr: 0.6748 loss_db: 0.2235 2022/11/02 14:50:35 - mmengine - INFO - Epoch(train) [234][30/63] lr: 1.7808e-03 eta: 10:45:02 time: 0.6011 data_time: 0.0353 memory: 16395 loss: 2.2572 loss_prob: 1.3705 loss_thr: 0.6681 loss_db: 0.2186 2022/11/02 14:50:37 - mmengine - INFO - Epoch(train) [234][35/63] lr: 1.7808e-03 eta: 10:45:02 time: 0.5690 data_time: 0.0341 memory: 16395 loss: 2.1686 loss_prob: 1.3180 loss_thr: 0.6340 loss_db: 0.2167 2022/11/02 14:50:40 - mmengine - INFO - Epoch(train) [234][40/63] lr: 1.7808e-03 eta: 10:44:53 time: 0.5881 data_time: 0.0057 memory: 16395 loss: 2.1566 loss_prob: 1.3056 loss_thr: 0.6394 loss_db: 0.2117 2022/11/02 14:50:43 - mmengine - INFO - Epoch(train) [234][45/63] lr: 1.7808e-03 eta: 10:44:53 time: 0.5813 data_time: 0.0061 memory: 16395 loss: 2.2521 loss_prob: 1.3706 loss_thr: 0.6656 loss_db: 0.2159 2022/11/02 14:50:46 - mmengine - INFO - Epoch(train) [234][50/63] lr: 1.7808e-03 eta: 10:44:44 time: 0.5685 data_time: 0.0081 memory: 16395 loss: 2.2188 loss_prob: 1.3426 loss_thr: 0.6643 loss_db: 0.2120 2022/11/02 14:50:50 - mmengine - INFO - Epoch(train) [234][55/63] lr: 1.7808e-03 eta: 10:44:44 time: 0.6984 data_time: 0.0280 memory: 16395 loss: 2.1747 loss_prob: 1.3248 loss_thr: 0.6399 loss_db: 0.2100 2022/11/02 14:50:53 - mmengine - INFO - Epoch(train) [234][60/63] lr: 1.7808e-03 eta: 10:44:40 time: 0.6896 data_time: 0.0309 memory: 16395 loss: 2.2075 loss_prob: 1.3531 loss_thr: 0.6365 loss_db: 0.2179 2022/11/02 14:50:55 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:51:02 - mmengine - INFO - Epoch(train) [235][5/63] lr: 1.7791e-03 eta: 10:44:40 time: 0.9953 data_time: 0.2505 memory: 16395 loss: 2.2862 loss_prob: 1.3926 loss_thr: 0.6652 loss_db: 0.2284 2022/11/02 14:51:05 - mmengine - INFO - Epoch(train) [235][10/63] lr: 1.7791e-03 eta: 10:44:41 time: 1.0546 data_time: 0.2527 memory: 16395 loss: 2.0996 loss_prob: 1.2680 loss_thr: 0.6281 loss_db: 0.2035 2022/11/02 14:51:09 - mmengine - INFO - Epoch(train) [235][15/63] lr: 1.7791e-03 eta: 10:44:41 time: 0.7139 data_time: 0.0141 memory: 16395 loss: 2.2927 loss_prob: 1.4130 loss_thr: 0.6488 loss_db: 0.2309 2022/11/02 14:51:12 - mmengine - INFO - Epoch(train) [235][20/63] lr: 1.7791e-03 eta: 10:44:38 time: 0.7017 data_time: 0.0110 memory: 16395 loss: 2.4532 loss_prob: 1.5142 loss_thr: 0.6945 loss_db: 0.2445 2022/11/02 14:51:15 - mmengine - INFO - Epoch(train) [235][25/63] lr: 1.7791e-03 eta: 10:44:38 time: 0.6248 data_time: 0.0286 memory: 16395 loss: 2.2352 loss_prob: 1.3344 loss_thr: 0.6900 loss_db: 0.2108 2022/11/02 14:51:19 - mmengine - INFO - Epoch(train) [235][30/63] lr: 1.7791e-03 eta: 10:44:32 time: 0.6527 data_time: 0.0339 memory: 16395 loss: 2.2759 loss_prob: 1.3608 loss_thr: 0.6958 loss_db: 0.2193 2022/11/02 14:51:22 - mmengine - INFO - Epoch(train) [235][35/63] lr: 1.7791e-03 eta: 10:44:32 time: 0.6507 data_time: 0.0203 memory: 16395 loss: 2.3444 loss_prob: 1.4271 loss_thr: 0.6840 loss_db: 0.2333 2022/11/02 14:51:25 - mmengine - INFO - Epoch(train) [235][40/63] lr: 1.7791e-03 eta: 10:44:25 time: 0.6305 data_time: 0.0232 memory: 16395 loss: 2.1995 loss_prob: 1.3283 loss_thr: 0.6552 loss_db: 0.2159 2022/11/02 14:51:28 - mmengine - INFO - Epoch(train) [235][45/63] lr: 1.7791e-03 eta: 10:44:25 time: 0.6146 data_time: 0.0164 memory: 16395 loss: 2.2313 loss_prob: 1.3635 loss_thr: 0.6490 loss_db: 0.2188 2022/11/02 14:51:31 - mmengine - INFO - Epoch(train) [235][50/63] lr: 1.7791e-03 eta: 10:44:18 time: 0.6221 data_time: 0.0241 memory: 16395 loss: 2.1803 loss_prob: 1.3220 loss_thr: 0.6438 loss_db: 0.2144 2022/11/02 14:51:34 - mmengine - INFO - Epoch(train) [235][55/63] lr: 1.7791e-03 eta: 10:44:18 time: 0.6448 data_time: 0.0229 memory: 16395 loss: 2.0284 loss_prob: 1.2008 loss_thr: 0.6344 loss_db: 0.1932 2022/11/02 14:51:38 - mmengine - INFO - Epoch(train) [235][60/63] lr: 1.7791e-03 eta: 10:44:12 time: 0.6441 data_time: 0.0112 memory: 16395 loss: 2.0869 loss_prob: 1.2624 loss_thr: 0.6264 loss_db: 0.1981 2022/11/02 14:51:40 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:51:46 - mmengine - INFO - Epoch(train) [236][5/63] lr: 1.7775e-03 eta: 10:44:12 time: 0.9559 data_time: 0.2263 memory: 16395 loss: 2.4438 loss_prob: 1.5327 loss_thr: 0.6671 loss_db: 0.2440 2022/11/02 14:51:50 - mmengine - INFO - Epoch(train) [236][10/63] lr: 1.7775e-03 eta: 10:44:12 time: 1.0213 data_time: 0.2413 memory: 16395 loss: 2.2727 loss_prob: 1.4010 loss_thr: 0.6456 loss_db: 0.2260 2022/11/02 14:51:53 - mmengine - INFO - Epoch(train) [236][15/63] lr: 1.7775e-03 eta: 10:44:12 time: 0.7193 data_time: 0.0317 memory: 16395 loss: 2.1790 loss_prob: 1.3155 loss_thr: 0.6516 loss_db: 0.2119 2022/11/02 14:51:56 - mmengine - INFO - Epoch(train) [236][20/63] lr: 1.7775e-03 eta: 10:44:06 time: 0.6341 data_time: 0.0096 memory: 16395 loss: 2.2896 loss_prob: 1.4014 loss_thr: 0.6583 loss_db: 0.2299 2022/11/02 14:51:59 - mmengine - INFO - Epoch(train) [236][25/63] lr: 1.7775e-03 eta: 10:44:06 time: 0.6172 data_time: 0.0111 memory: 16395 loss: 2.3650 loss_prob: 1.4484 loss_thr: 0.6807 loss_db: 0.2359 2022/11/02 14:52:03 - mmengine - INFO - Epoch(train) [236][30/63] lr: 1.7775e-03 eta: 10:44:00 time: 0.6566 data_time: 0.0273 memory: 16395 loss: 2.3187 loss_prob: 1.4000 loss_thr: 0.6938 loss_db: 0.2249 2022/11/02 14:52:06 - mmengine - INFO - Epoch(train) [236][35/63] lr: 1.7775e-03 eta: 10:44:00 time: 0.6584 data_time: 0.0354 memory: 16395 loss: 2.2891 loss_prob: 1.3917 loss_thr: 0.6706 loss_db: 0.2269 2022/11/02 14:52:09 - mmengine - INFO - Epoch(train) [236][40/63] lr: 1.7775e-03 eta: 10:43:52 time: 0.5878 data_time: 0.0171 memory: 16395 loss: 2.2262 loss_prob: 1.3394 loss_thr: 0.6671 loss_db: 0.2197 2022/11/02 14:52:12 - mmengine - INFO - Epoch(train) [236][45/63] lr: 1.7775e-03 eta: 10:43:52 time: 0.5942 data_time: 0.0090 memory: 16395 loss: 2.2392 loss_prob: 1.3512 loss_thr: 0.6685 loss_db: 0.2195 2022/11/02 14:52:15 - mmengine - INFO - Epoch(train) [236][50/63] lr: 1.7775e-03 eta: 10:43:44 time: 0.6095 data_time: 0.0093 memory: 16395 loss: 2.2530 loss_prob: 1.3854 loss_thr: 0.6452 loss_db: 0.2224 2022/11/02 14:52:18 - mmengine - INFO - Epoch(train) [236][55/63] lr: 1.7775e-03 eta: 10:43:44 time: 0.6558 data_time: 0.0188 memory: 16395 loss: 2.1508 loss_prob: 1.3053 loss_thr: 0.6365 loss_db: 0.2090 2022/11/02 14:52:21 - mmengine - INFO - Epoch(train) [236][60/63] lr: 1.7775e-03 eta: 10:43:40 time: 0.6728 data_time: 0.0279 memory: 16395 loss: 2.1773 loss_prob: 1.3127 loss_thr: 0.6503 loss_db: 0.2143 2022/11/02 14:52:23 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:52:30 - mmengine - INFO - Epoch(train) [237][5/63] lr: 1.7758e-03 eta: 10:43:40 time: 0.9283 data_time: 0.2696 memory: 16395 loss: 2.3014 loss_prob: 1.4029 loss_thr: 0.6646 loss_db: 0.2338 2022/11/02 14:52:34 - mmengine - INFO - Epoch(train) [237][10/63] lr: 1.7758e-03 eta: 10:43:43 time: 1.1133 data_time: 0.2737 memory: 16395 loss: 2.0971 loss_prob: 1.2567 loss_thr: 0.6310 loss_db: 0.2094 2022/11/02 14:52:37 - mmengine - INFO - Epoch(train) [237][15/63] lr: 1.7758e-03 eta: 10:43:43 time: 0.7298 data_time: 0.0174 memory: 16395 loss: 1.9220 loss_prob: 1.1333 loss_thr: 0.6069 loss_db: 0.1818 2022/11/02 14:52:40 - mmengine - INFO - Epoch(train) [237][20/63] lr: 1.7758e-03 eta: 10:43:35 time: 0.5917 data_time: 0.0159 memory: 16395 loss: 1.9774 loss_prob: 1.1586 loss_thr: 0.6309 loss_db: 0.1880 2022/11/02 14:52:43 - mmengine - INFO - Epoch(train) [237][25/63] lr: 1.7758e-03 eta: 10:43:35 time: 0.6235 data_time: 0.0391 memory: 16395 loss: 2.1097 loss_prob: 1.2649 loss_thr: 0.6414 loss_db: 0.2034 2022/11/02 14:52:47 - mmengine - INFO - Epoch(train) [237][30/63] lr: 1.7758e-03 eta: 10:43:31 time: 0.6874 data_time: 0.0393 memory: 16395 loss: 2.1607 loss_prob: 1.3307 loss_thr: 0.6201 loss_db: 0.2099 2022/11/02 14:52:50 - mmengine - INFO - Epoch(train) [237][35/63] lr: 1.7758e-03 eta: 10:43:31 time: 0.6871 data_time: 0.0143 memory: 16395 loss: 2.1548 loss_prob: 1.3170 loss_thr: 0.6264 loss_db: 0.2114 2022/11/02 14:52:54 - mmengine - INFO - Epoch(train) [237][40/63] lr: 1.7758e-03 eta: 10:43:28 time: 0.7177 data_time: 0.0175 memory: 16395 loss: 2.1324 loss_prob: 1.2786 loss_thr: 0.6448 loss_db: 0.2090 2022/11/02 14:52:58 - mmengine - INFO - Epoch(train) [237][45/63] lr: 1.7758e-03 eta: 10:43:28 time: 0.7770 data_time: 0.0156 memory: 16395 loss: 2.1834 loss_prob: 1.3181 loss_thr: 0.6531 loss_db: 0.2121 2022/11/02 14:53:01 - mmengine - INFO - Epoch(train) [237][50/63] lr: 1.7758e-03 eta: 10:43:25 time: 0.7265 data_time: 0.0309 memory: 16395 loss: 2.3609 loss_prob: 1.4374 loss_thr: 0.6972 loss_db: 0.2263 2022/11/02 14:53:04 - mmengine - INFO - Epoch(train) [237][55/63] lr: 1.7758e-03 eta: 10:43:25 time: 0.6386 data_time: 0.0362 memory: 16395 loss: 2.4210 loss_prob: 1.4750 loss_thr: 0.7062 loss_db: 0.2397 2022/11/02 14:53:07 - mmengine - INFO - Epoch(train) [237][60/63] lr: 1.7758e-03 eta: 10:43:19 time: 0.6416 data_time: 0.0141 memory: 16395 loss: 2.1295 loss_prob: 1.2830 loss_thr: 0.6355 loss_db: 0.2110 2022/11/02 14:53:09 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:53:14 - mmengine - INFO - Epoch(train) [238][5/63] lr: 1.7742e-03 eta: 10:43:19 time: 0.8279 data_time: 0.2079 memory: 16395 loss: 2.1378 loss_prob: 1.2819 loss_thr: 0.6476 loss_db: 0.2083 2022/11/02 14:53:17 - mmengine - INFO - Epoch(train) [238][10/63] lr: 1.7742e-03 eta: 10:43:10 time: 0.8097 data_time: 0.2185 memory: 16395 loss: 2.0880 loss_prob: 1.2473 loss_thr: 0.6427 loss_db: 0.1980 2022/11/02 14:53:20 - mmengine - INFO - Epoch(train) [238][15/63] lr: 1.7742e-03 eta: 10:43:10 time: 0.5683 data_time: 0.0258 memory: 16395 loss: 2.1788 loss_prob: 1.3014 loss_thr: 0.6714 loss_db: 0.2060 2022/11/02 14:53:24 - mmengine - INFO - Epoch(train) [238][20/63] lr: 1.7742e-03 eta: 10:43:05 time: 0.6680 data_time: 0.0145 memory: 16395 loss: 2.2106 loss_prob: 1.3296 loss_thr: 0.6670 loss_db: 0.2140 2022/11/02 14:53:27 - mmengine - INFO - Epoch(train) [238][25/63] lr: 1.7742e-03 eta: 10:43:05 time: 0.6876 data_time: 0.0244 memory: 16395 loss: 2.2540 loss_prob: 1.3603 loss_thr: 0.6710 loss_db: 0.2227 2022/11/02 14:53:31 - mmengine - INFO - Epoch(train) [238][30/63] lr: 1.7742e-03 eta: 10:43:01 time: 0.6925 data_time: 0.0355 memory: 16395 loss: 2.3047 loss_prob: 1.4036 loss_thr: 0.6748 loss_db: 0.2263 2022/11/02 14:53:35 - mmengine - INFO - Epoch(train) [238][35/63] lr: 1.7742e-03 eta: 10:43:01 time: 0.8353 data_time: 0.0287 memory: 16395 loss: 2.4650 loss_prob: 1.5402 loss_thr: 0.6748 loss_db: 0.2500 2022/11/02 14:53:38 - mmengine - INFO - Epoch(train) [238][40/63] lr: 1.7742e-03 eta: 10:42:57 time: 0.7169 data_time: 0.0145 memory: 16395 loss: 2.5044 loss_prob: 1.5668 loss_thr: 0.6761 loss_db: 0.2615 2022/11/02 14:53:41 - mmengine - INFO - Epoch(train) [238][45/63] lr: 1.7742e-03 eta: 10:42:57 time: 0.5879 data_time: 0.0063 memory: 16395 loss: 2.5133 loss_prob: 1.5838 loss_thr: 0.6747 loss_db: 0.2547 2022/11/02 14:53:45 - mmengine - INFO - Epoch(train) [238][50/63] lr: 1.7742e-03 eta: 10:42:52 time: 0.6590 data_time: 0.0172 memory: 16395 loss: 2.3278 loss_prob: 1.4509 loss_thr: 0.6509 loss_db: 0.2260 2022/11/02 14:53:48 - mmengine - INFO - Epoch(train) [238][55/63] lr: 1.7742e-03 eta: 10:42:52 time: 0.6318 data_time: 0.0268 memory: 16395 loss: 2.1231 loss_prob: 1.2886 loss_thr: 0.6314 loss_db: 0.2032 2022/11/02 14:53:52 - mmengine - INFO - Epoch(train) [238][60/63] lr: 1.7742e-03 eta: 10:42:50 time: 0.7374 data_time: 0.0179 memory: 16395 loss: 2.0868 loss_prob: 1.2652 loss_thr: 0.6244 loss_db: 0.1972 2022/11/02 14:53:53 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:54:01 - mmengine - INFO - Epoch(train) [239][5/63] lr: 1.7725e-03 eta: 10:42:50 time: 0.9774 data_time: 0.2157 memory: 16395 loss: 2.4192 loss_prob: 1.5030 loss_thr: 0.6714 loss_db: 0.2448 2022/11/02 14:54:01 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:54:04 - mmengine - INFO - Epoch(train) [239][10/63] lr: 1.7725e-03 eta: 10:42:49 time: 1.0149 data_time: 0.2243 memory: 16395 loss: 2.5557 loss_prob: 1.6180 loss_thr: 0.6826 loss_db: 0.2551 2022/11/02 14:54:06 - mmengine - INFO - Epoch(train) [239][15/63] lr: 1.7725e-03 eta: 10:42:49 time: 0.5531 data_time: 0.0156 memory: 16395 loss: 2.5202 loss_prob: 1.5815 loss_thr: 0.6819 loss_db: 0.2568 2022/11/02 14:54:09 - mmengine - INFO - Epoch(train) [239][20/63] lr: 1.7725e-03 eta: 10:42:41 time: 0.5960 data_time: 0.0060 memory: 16395 loss: 2.4733 loss_prob: 1.5335 loss_thr: 0.6840 loss_db: 0.2558 2022/11/02 14:54:13 - mmengine - INFO - Epoch(train) [239][25/63] lr: 1.7725e-03 eta: 10:42:41 time: 0.7273 data_time: 0.0102 memory: 16395 loss: 2.3969 loss_prob: 1.4680 loss_thr: 0.6822 loss_db: 0.2468 2022/11/02 14:54:18 - mmengine - INFO - Epoch(train) [239][30/63] lr: 1.7725e-03 eta: 10:42:42 time: 0.8261 data_time: 0.0393 memory: 16395 loss: 2.3555 loss_prob: 1.4175 loss_thr: 0.6997 loss_db: 0.2383 2022/11/02 14:54:21 - mmengine - INFO - Epoch(train) [239][35/63] lr: 1.7725e-03 eta: 10:42:42 time: 0.7426 data_time: 0.0414 memory: 16395 loss: 2.3352 loss_prob: 1.4131 loss_thr: 0.6901 loss_db: 0.2319 2022/11/02 14:54:24 - mmengine - INFO - Epoch(train) [239][40/63] lr: 1.7725e-03 eta: 10:42:36 time: 0.6258 data_time: 0.0169 memory: 16395 loss: 2.3583 loss_prob: 1.4480 loss_thr: 0.6780 loss_db: 0.2323 2022/11/02 14:54:27 - mmengine - INFO - Epoch(train) [239][45/63] lr: 1.7725e-03 eta: 10:42:36 time: 0.6578 data_time: 0.0103 memory: 16395 loss: 2.2640 loss_prob: 1.3742 loss_thr: 0.6738 loss_db: 0.2161 2022/11/02 14:54:30 - mmengine - INFO - Epoch(train) [239][50/63] lr: 1.7725e-03 eta: 10:42:29 time: 0.6406 data_time: 0.0163 memory: 16395 loss: 2.2115 loss_prob: 1.3478 loss_thr: 0.6453 loss_db: 0.2184 2022/11/02 14:54:34 - mmengine - INFO - Epoch(train) [239][55/63] lr: 1.7725e-03 eta: 10:42:29 time: 0.6341 data_time: 0.0295 memory: 16395 loss: 2.3076 loss_prob: 1.4369 loss_thr: 0.6396 loss_db: 0.2311 2022/11/02 14:54:37 - mmengine - INFO - Epoch(train) [239][60/63] lr: 1.7725e-03 eta: 10:42:24 time: 0.6597 data_time: 0.0206 memory: 16395 loss: 2.2792 loss_prob: 1.4169 loss_thr: 0.6380 loss_db: 0.2243 2022/11/02 14:54:38 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:54:45 - mmengine - INFO - Epoch(train) [240][5/63] lr: 1.7708e-03 eta: 10:42:24 time: 0.9400 data_time: 0.2797 memory: 16395 loss: 2.2587 loss_prob: 1.3794 loss_thr: 0.6530 loss_db: 0.2264 2022/11/02 14:54:49 - mmengine - INFO - Epoch(train) [240][10/63] lr: 1.7708e-03 eta: 10:42:24 time: 1.0275 data_time: 0.2820 memory: 16395 loss: 2.4235 loss_prob: 1.5140 loss_thr: 0.6684 loss_db: 0.2411 2022/11/02 14:54:52 - mmengine - INFO - Epoch(train) [240][15/63] lr: 1.7708e-03 eta: 10:42:24 time: 0.6863 data_time: 0.0111 memory: 16395 loss: 2.2847 loss_prob: 1.4091 loss_thr: 0.6562 loss_db: 0.2194 2022/11/02 14:54:55 - mmengine - INFO - Epoch(train) [240][20/63] lr: 1.7708e-03 eta: 10:42:16 time: 0.6109 data_time: 0.0069 memory: 16395 loss: 2.2581 loss_prob: 1.3743 loss_thr: 0.6650 loss_db: 0.2188 2022/11/02 14:54:58 - mmengine - INFO - Epoch(train) [240][25/63] lr: 1.7708e-03 eta: 10:42:16 time: 0.6171 data_time: 0.0291 memory: 16395 loss: 2.3467 loss_prob: 1.4433 loss_thr: 0.6657 loss_db: 0.2377 2022/11/02 14:55:02 - mmengine - INFO - Epoch(train) [240][30/63] lr: 1.7708e-03 eta: 10:42:13 time: 0.7107 data_time: 0.0443 memory: 16395 loss: 2.1893 loss_prob: 1.3319 loss_thr: 0.6377 loss_db: 0.2197 2022/11/02 14:55:05 - mmengine - INFO - Epoch(train) [240][35/63] lr: 1.7708e-03 eta: 10:42:13 time: 0.7042 data_time: 0.0207 memory: 16395 loss: 2.1872 loss_prob: 1.3450 loss_thr: 0.6225 loss_db: 0.2196 2022/11/02 14:55:08 - mmengine - INFO - Epoch(train) [240][40/63] lr: 1.7708e-03 eta: 10:42:05 time: 0.5899 data_time: 0.0087 memory: 16395 loss: 2.2099 loss_prob: 1.3601 loss_thr: 0.6244 loss_db: 0.2255 2022/11/02 14:55:11 - mmengine - INFO - Epoch(train) [240][45/63] lr: 1.7708e-03 eta: 10:42:05 time: 0.5515 data_time: 0.0106 memory: 16395 loss: 2.1392 loss_prob: 1.2934 loss_thr: 0.6340 loss_db: 0.2119 2022/11/02 14:55:14 - mmengine - INFO - Epoch(train) [240][50/63] lr: 1.7708e-03 eta: 10:41:57 time: 0.6057 data_time: 0.0258 memory: 16395 loss: 2.2129 loss_prob: 1.3503 loss_thr: 0.6467 loss_db: 0.2158 2022/11/02 14:55:17 - mmengine - INFO - Epoch(train) [240][55/63] lr: 1.7708e-03 eta: 10:41:57 time: 0.6475 data_time: 0.0294 memory: 16395 loss: 2.2141 loss_prob: 1.3320 loss_thr: 0.6698 loss_db: 0.2123 2022/11/02 14:55:20 - mmengine - INFO - Epoch(train) [240][60/63] lr: 1.7708e-03 eta: 10:41:48 time: 0.5709 data_time: 0.0106 memory: 16395 loss: 2.2961 loss_prob: 1.3709 loss_thr: 0.7032 loss_db: 0.2220 2022/11/02 14:55:21 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:55:21 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/11/02 14:55:25 - mmengine - INFO - Epoch(val) [240][5/500] eta: 10:41:48 time: 0.0488 data_time: 0.0048 memory: 16395 2022/11/02 14:55:25 - mmengine - INFO - Epoch(val) [240][10/500] eta: 0:00:23 time: 0.0474 data_time: 0.0048 memory: 1013 2022/11/02 14:55:25 - mmengine - INFO - Epoch(val) [240][15/500] eta: 0:00:23 time: 0.0439 data_time: 0.0027 memory: 1013 2022/11/02 14:55:25 - mmengine - INFO - Epoch(val) [240][20/500] eta: 0:00:20 time: 0.0437 data_time: 0.0025 memory: 1013 2022/11/02 14:55:26 - mmengine - INFO - Epoch(val) [240][25/500] eta: 0:00:20 time: 0.0466 data_time: 0.0032 memory: 1013 2022/11/02 14:55:26 - mmengine - INFO - Epoch(val) [240][30/500] eta: 0:00:23 time: 0.0492 data_time: 0.0031 memory: 1013 2022/11/02 14:55:26 - mmengine - INFO - Epoch(val) [240][35/500] eta: 0:00:23 time: 0.0459 data_time: 0.0026 memory: 1013 2022/11/02 14:55:26 - mmengine - INFO - Epoch(val) [240][40/500] eta: 0:00:21 time: 0.0473 data_time: 0.0028 memory: 1013 2022/11/02 14:55:26 - mmengine - INFO - Epoch(val) [240][45/500] eta: 0:00:21 time: 0.0517 data_time: 0.0026 memory: 1013 2022/11/02 14:55:27 - mmengine - INFO - Epoch(val) [240][50/500] eta: 0:00:24 time: 0.0547 data_time: 0.0032 memory: 1013 2022/11/02 14:55:27 - mmengine - INFO - Epoch(val) [240][55/500] eta: 0:00:24 time: 0.0511 data_time: 0.0031 memory: 1013 2022/11/02 14:55:27 - mmengine - INFO - Epoch(val) [240][60/500] eta: 0:00:19 time: 0.0438 data_time: 0.0027 memory: 1013 2022/11/02 14:55:27 - mmengine - INFO - Epoch(val) [240][65/500] eta: 0:00:19 time: 0.0478 data_time: 0.0039 memory: 1013 2022/11/02 14:55:28 - mmengine - INFO - Epoch(val) [240][70/500] eta: 0:00:22 time: 0.0516 data_time: 0.0042 memory: 1013 2022/11/02 14:55:28 - mmengine - INFO - Epoch(val) [240][75/500] eta: 0:00:22 time: 0.0470 data_time: 0.0031 memory: 1013 2022/11/02 14:55:28 - mmengine - INFO - Epoch(val) [240][80/500] eta: 0:00:18 time: 0.0435 data_time: 0.0030 memory: 1013 2022/11/02 14:55:28 - mmengine - INFO - Epoch(val) [240][85/500] eta: 0:00:18 time: 0.0437 data_time: 0.0035 memory: 1013 2022/11/02 14:55:29 - mmengine - INFO - Epoch(val) [240][90/500] eta: 0:00:19 time: 0.0464 data_time: 0.0029 memory: 1013 2022/11/02 14:55:29 - mmengine - INFO - Epoch(val) [240][95/500] eta: 0:00:19 time: 0.0523 data_time: 0.0025 memory: 1013 2022/11/02 14:55:29 - mmengine - INFO - Epoch(val) [240][100/500] eta: 0:00:20 time: 0.0514 data_time: 0.0032 memory: 1013 2022/11/02 14:55:29 - mmengine - INFO - Epoch(val) [240][105/500] eta: 0:00:20 time: 0.0475 data_time: 0.0033 memory: 1013 2022/11/02 14:55:30 - mmengine - INFO - Epoch(val) [240][110/500] eta: 0:00:18 time: 0.0479 data_time: 0.0035 memory: 1013 2022/11/02 14:55:30 - mmengine - INFO - Epoch(val) [240][115/500] eta: 0:00:18 time: 0.0489 data_time: 0.0032 memory: 1013 2022/11/02 14:55:30 - mmengine - INFO - Epoch(val) [240][120/500] eta: 0:00:18 time: 0.0476 data_time: 0.0028 memory: 1013 2022/11/02 14:55:30 - mmengine - INFO - Epoch(val) [240][125/500] eta: 0:00:18 time: 0.0423 data_time: 0.0027 memory: 1013 2022/11/02 14:55:31 - mmengine - INFO - Epoch(val) [240][130/500] eta: 0:00:15 time: 0.0407 data_time: 0.0025 memory: 1013 2022/11/02 14:55:31 - mmengine - INFO - Epoch(val) [240][135/500] eta: 0:00:15 time: 0.0435 data_time: 0.0025 memory: 1013 2022/11/02 14:55:31 - mmengine - INFO - Epoch(val) [240][140/500] eta: 0:00:16 time: 0.0445 data_time: 0.0026 memory: 1013 2022/11/02 14:55:31 - mmengine - INFO - Epoch(val) [240][145/500] eta: 0:00:16 time: 0.0432 data_time: 0.0025 memory: 1013 2022/11/02 14:55:31 - mmengine - INFO - Epoch(val) [240][150/500] eta: 0:00:15 time: 0.0439 data_time: 0.0024 memory: 1013 2022/11/02 14:55:32 - mmengine - INFO - Epoch(val) [240][155/500] eta: 0:00:15 time: 0.0473 data_time: 0.0025 memory: 1013 2022/11/02 14:55:32 - mmengine - INFO - Epoch(val) [240][160/500] eta: 0:00:16 time: 0.0479 data_time: 0.0026 memory: 1013 2022/11/02 14:55:32 - mmengine - INFO - Epoch(val) [240][165/500] eta: 0:00:16 time: 0.0458 data_time: 0.0026 memory: 1013 2022/11/02 14:55:32 - mmengine - INFO - Epoch(val) [240][170/500] eta: 0:00:16 time: 0.0487 data_time: 0.0027 memory: 1013 2022/11/02 14:55:33 - mmengine - INFO - Epoch(val) [240][175/500] eta: 0:00:16 time: 0.0481 data_time: 0.0025 memory: 1013 2022/11/02 14:55:33 - mmengine - INFO - Epoch(val) [240][180/500] eta: 0:00:14 time: 0.0441 data_time: 0.0024 memory: 1013 2022/11/02 14:55:33 - mmengine - INFO - Epoch(val) [240][185/500] eta: 0:00:14 time: 0.0440 data_time: 0.0026 memory: 1013 2022/11/02 14:55:33 - mmengine - INFO - Epoch(val) [240][190/500] eta: 0:00:13 time: 0.0446 data_time: 0.0027 memory: 1013 2022/11/02 14:55:33 - mmengine - INFO - Epoch(val) [240][195/500] eta: 0:00:13 time: 0.0439 data_time: 0.0027 memory: 1013 2022/11/02 14:55:34 - mmengine - INFO - Epoch(val) [240][200/500] eta: 0:00:15 time: 0.0501 data_time: 0.0027 memory: 1013 2022/11/02 14:55:34 - mmengine - INFO - Epoch(val) [240][205/500] eta: 0:00:15 time: 0.0554 data_time: 0.0035 memory: 1013 2022/11/02 14:55:34 - mmengine - INFO - Epoch(val) [240][210/500] eta: 0:00:13 time: 0.0482 data_time: 0.0036 memory: 1013 2022/11/02 14:55:34 - mmengine - INFO - Epoch(val) [240][215/500] eta: 0:00:13 time: 0.0464 data_time: 0.0029 memory: 1013 2022/11/02 14:55:35 - mmengine - INFO - Epoch(val) [240][220/500] eta: 0:00:14 time: 0.0501 data_time: 0.0030 memory: 1013 2022/11/02 14:55:35 - mmengine - INFO - Epoch(val) [240][225/500] eta: 0:00:14 time: 0.0502 data_time: 0.0029 memory: 1013 2022/11/02 14:55:35 - mmengine - INFO - Epoch(val) [240][230/500] eta: 0:00:12 time: 0.0463 data_time: 0.0027 memory: 1013 2022/11/02 14:55:35 - mmengine - INFO - Epoch(val) [240][235/500] eta: 0:00:12 time: 0.0462 data_time: 0.0029 memory: 1013 2022/11/02 14:55:36 - mmengine - INFO - Epoch(val) [240][240/500] eta: 0:00:13 time: 0.0500 data_time: 0.0032 memory: 1013 2022/11/02 14:55:36 - mmengine - INFO - Epoch(val) [240][245/500] eta: 0:00:13 time: 0.0460 data_time: 0.0030 memory: 1013 2022/11/02 14:55:36 - mmengine - INFO - Epoch(val) [240][250/500] eta: 0:00:11 time: 0.0451 data_time: 0.0029 memory: 1013 2022/11/02 14:55:36 - mmengine - INFO - Epoch(val) [240][255/500] eta: 0:00:11 time: 0.0434 data_time: 0.0027 memory: 1013 2022/11/02 14:55:37 - mmengine - INFO - Epoch(val) [240][260/500] eta: 0:00:09 time: 0.0392 data_time: 0.0024 memory: 1013 2022/11/02 14:55:37 - mmengine - INFO - Epoch(val) [240][265/500] eta: 0:00:09 time: 0.0408 data_time: 0.0025 memory: 1013 2022/11/02 14:55:37 - mmengine - INFO - Epoch(val) [240][270/500] eta: 0:00:10 time: 0.0440 data_time: 0.0028 memory: 1013 2022/11/02 14:55:37 - mmengine - INFO - Epoch(val) [240][275/500] eta: 0:00:10 time: 0.0420 data_time: 0.0027 memory: 1013 2022/11/02 14:55:37 - mmengine - INFO - Epoch(val) [240][280/500] eta: 0:00:09 time: 0.0418 data_time: 0.0024 memory: 1013 2022/11/02 14:55:38 - mmengine - INFO - Epoch(val) [240][285/500] eta: 0:00:09 time: 0.0427 data_time: 0.0025 memory: 1013 2022/11/02 14:55:38 - mmengine - INFO - Epoch(val) [240][290/500] eta: 0:00:09 time: 0.0443 data_time: 0.0025 memory: 1013 2022/11/02 14:55:38 - mmengine - INFO - Epoch(val) [240][295/500] eta: 0:00:09 time: 0.0447 data_time: 0.0025 memory: 1013 2022/11/02 14:55:38 - mmengine - INFO - Epoch(val) [240][300/500] eta: 0:00:08 time: 0.0449 data_time: 0.0028 memory: 1013 2022/11/02 14:55:39 - mmengine - INFO - Epoch(val) [240][305/500] eta: 0:00:08 time: 0.0499 data_time: 0.0032 memory: 1013 2022/11/02 14:55:39 - mmengine - INFO - Epoch(val) [240][310/500] eta: 0:00:08 time: 0.0473 data_time: 0.0029 memory: 1013 2022/11/02 14:55:39 - mmengine - INFO - Epoch(val) [240][315/500] eta: 0:00:08 time: 0.0461 data_time: 0.0027 memory: 1013 2022/11/02 14:55:39 - mmengine - INFO - Epoch(val) [240][320/500] eta: 0:00:08 time: 0.0474 data_time: 0.0029 memory: 1013 2022/11/02 14:55:40 - mmengine - INFO - Epoch(val) [240][325/500] eta: 0:00:08 time: 0.0570 data_time: 0.0028 memory: 1013 2022/11/02 14:55:40 - mmengine - INFO - Epoch(val) [240][330/500] eta: 0:00:09 time: 0.0549 data_time: 0.0027 memory: 1013 2022/11/02 14:55:40 - mmengine - INFO - Epoch(val) [240][335/500] eta: 0:00:09 time: 0.0439 data_time: 0.0027 memory: 1013 2022/11/02 14:55:40 - mmengine - INFO - Epoch(val) [240][340/500] eta: 0:00:08 time: 0.0522 data_time: 0.0028 memory: 1013 2022/11/02 14:55:41 - mmengine - INFO - Epoch(val) [240][345/500] eta: 0:00:08 time: 0.0543 data_time: 0.0028 memory: 1013 2022/11/02 14:55:41 - mmengine - INFO - Epoch(val) [240][350/500] eta: 0:00:08 time: 0.0540 data_time: 0.0030 memory: 1013 2022/11/02 14:55:41 - mmengine - INFO - Epoch(val) [240][355/500] eta: 0:00:08 time: 0.0559 data_time: 0.0034 memory: 1013 2022/11/02 14:55:41 - mmengine - INFO - Epoch(val) [240][360/500] eta: 0:00:06 time: 0.0490 data_time: 0.0035 memory: 1013 2022/11/02 14:55:42 - mmengine - INFO - Epoch(val) [240][365/500] eta: 0:00:06 time: 0.0441 data_time: 0.0033 memory: 1013 2022/11/02 14:55:42 - mmengine - INFO - Epoch(val) [240][370/500] eta: 0:00:05 time: 0.0413 data_time: 0.0031 memory: 1013 2022/11/02 14:55:42 - mmengine - INFO - Epoch(val) [240][375/500] eta: 0:00:05 time: 0.0403 data_time: 0.0029 memory: 1013 2022/11/02 14:55:42 - mmengine - INFO - Epoch(val) [240][380/500] eta: 0:00:05 time: 0.0462 data_time: 0.0035 memory: 1013 2022/11/02 14:55:42 - mmengine - INFO - Epoch(val) [240][385/500] eta: 0:00:05 time: 0.0501 data_time: 0.0034 memory: 1013 2022/11/02 14:55:43 - mmengine - INFO - Epoch(val) [240][390/500] eta: 0:00:05 time: 0.0525 data_time: 0.0032 memory: 1013 2022/11/02 14:55:43 - mmengine - INFO - Epoch(val) [240][395/500] eta: 0:00:05 time: 0.0536 data_time: 0.0043 memory: 1013 2022/11/02 14:55:43 - mmengine - INFO - Epoch(val) [240][400/500] eta: 0:00:04 time: 0.0492 data_time: 0.0039 memory: 1013 2022/11/02 14:55:44 - mmengine - INFO - Epoch(val) [240][405/500] eta: 0:00:04 time: 0.0512 data_time: 0.0036 memory: 1013 2022/11/02 14:55:44 - mmengine - INFO - Epoch(val) [240][410/500] eta: 0:00:04 time: 0.0552 data_time: 0.0037 memory: 1013 2022/11/02 14:55:44 - mmengine - INFO - Epoch(val) [240][415/500] eta: 0:00:04 time: 0.0487 data_time: 0.0031 memory: 1013 2022/11/02 14:55:45 - mmengine - INFO - Epoch(val) [240][420/500] eta: 0:00:11 time: 0.1421 data_time: 0.1001 memory: 1013 2022/11/02 14:55:45 - mmengine - INFO - Epoch(val) [240][425/500] eta: 0:00:11 time: 0.1433 data_time: 0.0995 memory: 1013 2022/11/02 14:55:46 - mmengine - INFO - Epoch(val) [240][430/500] eta: 0:00:03 time: 0.0452 data_time: 0.0021 memory: 1013 2022/11/02 14:55:46 - mmengine - INFO - Epoch(val) [240][435/500] eta: 0:00:03 time: 0.0490 data_time: 0.0027 memory: 1013 2022/11/02 14:55:46 - mmengine - INFO - Epoch(val) [240][440/500] eta: 0:00:02 time: 0.0484 data_time: 0.0027 memory: 1013 2022/11/02 14:55:46 - mmengine - INFO - Epoch(val) [240][445/500] eta: 0:00:02 time: 0.0448 data_time: 0.0026 memory: 1013 2022/11/02 14:55:47 - mmengine - INFO - Epoch(val) [240][450/500] eta: 0:00:02 time: 0.0458 data_time: 0.0027 memory: 1013 2022/11/02 14:55:47 - mmengine - INFO - Epoch(val) [240][455/500] eta: 0:00:02 time: 0.0458 data_time: 0.0030 memory: 1013 2022/11/02 14:55:47 - mmengine - INFO - Epoch(val) [240][460/500] eta: 0:00:01 time: 0.0442 data_time: 0.0031 memory: 1013 2022/11/02 14:55:47 - mmengine - INFO - Epoch(val) [240][465/500] eta: 0:00:01 time: 0.0422 data_time: 0.0030 memory: 1013 2022/11/02 14:55:47 - mmengine - INFO - Epoch(val) [240][470/500] eta: 0:00:01 time: 0.0420 data_time: 0.0028 memory: 1013 2022/11/02 14:55:48 - mmengine - INFO - Epoch(val) [240][475/500] eta: 0:00:01 time: 0.0453 data_time: 0.0031 memory: 1013 2022/11/02 14:55:48 - mmengine - INFO - Epoch(val) [240][480/500] eta: 0:00:00 time: 0.0497 data_time: 0.0036 memory: 1013 2022/11/02 14:55:48 - mmengine - INFO - Epoch(val) [240][485/500] eta: 0:00:00 time: 0.0488 data_time: 0.0034 memory: 1013 2022/11/02 14:55:49 - mmengine - INFO - Epoch(val) [240][490/500] eta: 0:00:00 time: 0.0549 data_time: 0.0039 memory: 1013 2022/11/02 14:55:49 - mmengine - INFO - Epoch(val) [240][495/500] eta: 0:00:00 time: 0.0565 data_time: 0.0034 memory: 1013 2022/11/02 14:55:49 - mmengine - INFO - Epoch(val) [240][500/500] eta: 0:00:00 time: 0.0478 data_time: 0.0027 memory: 1013 2022/11/02 14:55:49 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 14:55:49 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8012, precision: 0.6393, hmean: 0.7111 2022/11/02 14:55:49 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8007, precision: 0.7757, hmean: 0.7880 2022/11/02 14:55:49 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7877, precision: 0.8368, hmean: 0.8115 2022/11/02 14:55:49 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7525, precision: 0.8840, hmean: 0.8130 2022/11/02 14:55:49 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6172, precision: 0.9317, hmean: 0.7425 2022/11/02 14:55:49 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.1512, precision: 0.9721, hmean: 0.2617 2022/11/02 14:55:49 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 14:55:49 - mmengine - INFO - Epoch(val) [240][500/500] icdar/precision: 0.8840 icdar/recall: 0.7525 icdar/hmean: 0.8130 2022/11/02 14:55:56 - mmengine - INFO - Epoch(train) [241][5/63] lr: 1.7692e-03 eta: 0:00:00 time: 0.9518 data_time: 0.2253 memory: 16395 loss: 2.2994 loss_prob: 1.3880 loss_thr: 0.6898 loss_db: 0.2215 2022/11/02 14:56:00 - mmengine - INFO - Epoch(train) [241][10/63] lr: 1.7692e-03 eta: 10:41:50 time: 1.0916 data_time: 0.2519 memory: 16395 loss: 2.1651 loss_prob: 1.3062 loss_thr: 0.6516 loss_db: 0.2072 2022/11/02 14:56:03 - mmengine - INFO - Epoch(train) [241][15/63] lr: 1.7692e-03 eta: 10:41:50 time: 0.7070 data_time: 0.0356 memory: 16395 loss: 2.2645 loss_prob: 1.3542 loss_thr: 0.6883 loss_db: 0.2220 2022/11/02 14:56:06 - mmengine - INFO - Epoch(train) [241][20/63] lr: 1.7692e-03 eta: 10:41:43 time: 0.6183 data_time: 0.0065 memory: 16395 loss: 2.2227 loss_prob: 1.3402 loss_thr: 0.6616 loss_db: 0.2209 2022/11/02 14:56:10 - mmengine - INFO - Epoch(train) [241][25/63] lr: 1.7692e-03 eta: 10:41:43 time: 0.6474 data_time: 0.0148 memory: 16395 loss: 2.0961 loss_prob: 1.2578 loss_thr: 0.6345 loss_db: 0.2039 2022/11/02 14:56:13 - mmengine - INFO - Epoch(train) [241][30/63] lr: 1.7692e-03 eta: 10:41:38 time: 0.6553 data_time: 0.0322 memory: 16395 loss: 2.0924 loss_prob: 1.2370 loss_thr: 0.6563 loss_db: 0.1991 2022/11/02 14:56:16 - mmengine - INFO - Epoch(train) [241][35/63] lr: 1.7692e-03 eta: 10:41:38 time: 0.5768 data_time: 0.0295 memory: 16395 loss: 1.9788 loss_prob: 1.1707 loss_thr: 0.6179 loss_db: 0.1902 2022/11/02 14:56:19 - mmengine - INFO - Epoch(train) [241][40/63] lr: 1.7692e-03 eta: 10:41:29 time: 0.5913 data_time: 0.0143 memory: 16395 loss: 2.0036 loss_prob: 1.1968 loss_thr: 0.6157 loss_db: 0.1911 2022/11/02 14:56:22 - mmengine - INFO - Epoch(train) [241][45/63] lr: 1.7692e-03 eta: 10:41:29 time: 0.6044 data_time: 0.0091 memory: 16395 loss: 2.0939 loss_prob: 1.2655 loss_thr: 0.6324 loss_db: 0.1961 2022/11/02 14:56:25 - mmengine - INFO - Epoch(train) [241][50/63] lr: 1.7692e-03 eta: 10:41:22 time: 0.6221 data_time: 0.0197 memory: 16395 loss: 2.4771 loss_prob: 1.5477 loss_thr: 0.6826 loss_db: 0.2469 2022/11/02 14:56:28 - mmengine - INFO - Epoch(train) [241][55/63] lr: 1.7692e-03 eta: 10:41:22 time: 0.6187 data_time: 0.0273 memory: 16395 loss: 2.4429 loss_prob: 1.5202 loss_thr: 0.6737 loss_db: 0.2490 2022/11/02 14:56:31 - mmengine - INFO - Epoch(train) [241][60/63] lr: 1.7692e-03 eta: 10:41:14 time: 0.5917 data_time: 0.0139 memory: 16395 loss: 2.0865 loss_prob: 1.2563 loss_thr: 0.6273 loss_db: 0.2029 2022/11/02 14:56:33 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:56:39 - mmengine - INFO - Epoch(train) [242][5/63] lr: 1.7675e-03 eta: 10:41:14 time: 0.9171 data_time: 0.2504 memory: 16395 loss: 2.4492 loss_prob: 1.5037 loss_thr: 0.6989 loss_db: 0.2466 2022/11/02 14:56:42 - mmengine - INFO - Epoch(train) [242][10/63] lr: 1.7675e-03 eta: 10:41:08 time: 0.8795 data_time: 0.2513 memory: 16395 loss: 2.2892 loss_prob: 1.3961 loss_thr: 0.6609 loss_db: 0.2321 2022/11/02 14:56:44 - mmengine - INFO - Epoch(train) [242][15/63] lr: 1.7675e-03 eta: 10:41:08 time: 0.5643 data_time: 0.0087 memory: 16395 loss: 2.3313 loss_prob: 1.4430 loss_thr: 0.6568 loss_db: 0.2315 2022/11/02 14:56:47 - mmengine - INFO - Epoch(train) [242][20/63] lr: 1.7675e-03 eta: 10:40:57 time: 0.5298 data_time: 0.0101 memory: 16395 loss: 2.4311 loss_prob: 1.5223 loss_thr: 0.6676 loss_db: 0.2412 2022/11/02 14:56:50 - mmengine - INFO - Epoch(train) [242][25/63] lr: 1.7675e-03 eta: 10:40:57 time: 0.5948 data_time: 0.0273 memory: 16395 loss: 2.5240 loss_prob: 1.5758 loss_thr: 0.6994 loss_db: 0.2488 2022/11/02 14:56:54 - mmengine - INFO - Epoch(train) [242][30/63] lr: 1.7675e-03 eta: 10:40:51 time: 0.6309 data_time: 0.0357 memory: 16395 loss: 2.2563 loss_prob: 1.3707 loss_thr: 0.6664 loss_db: 0.2192 2022/11/02 14:56:57 - mmengine - INFO - Epoch(train) [242][35/63] lr: 1.7675e-03 eta: 10:40:51 time: 0.6133 data_time: 0.0210 memory: 16395 loss: 2.1695 loss_prob: 1.3114 loss_thr: 0.6433 loss_db: 0.2148 2022/11/02 14:56:59 - mmengine - INFO - Epoch(train) [242][40/63] lr: 1.7675e-03 eta: 10:40:41 time: 0.5500 data_time: 0.0074 memory: 16395 loss: 2.1281 loss_prob: 1.2847 loss_thr: 0.6358 loss_db: 0.2077 2022/11/02 14:57:02 - mmengine - INFO - Epoch(train) [242][45/63] lr: 1.7675e-03 eta: 10:40:41 time: 0.5561 data_time: 0.0131 memory: 16395 loss: 1.9860 loss_prob: 1.1776 loss_thr: 0.6203 loss_db: 0.1881 2022/11/02 14:57:05 - mmengine - INFO - Epoch(train) [242][50/63] lr: 1.7675e-03 eta: 10:40:34 time: 0.6174 data_time: 0.0367 memory: 16395 loss: 2.0165 loss_prob: 1.1890 loss_thr: 0.6388 loss_db: 0.1888 2022/11/02 14:57:09 - mmengine - INFO - Epoch(train) [242][55/63] lr: 1.7675e-03 eta: 10:40:34 time: 0.7301 data_time: 0.0301 memory: 16395 loss: 2.1928 loss_prob: 1.3190 loss_thr: 0.6574 loss_db: 0.2164 2022/11/02 14:57:13 - mmengine - INFO - Epoch(train) [242][60/63] lr: 1.7675e-03 eta: 10:40:31 time: 0.7302 data_time: 0.0103 memory: 16395 loss: 2.3511 loss_prob: 1.4583 loss_thr: 0.6544 loss_db: 0.2384 2022/11/02 14:57:14 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:57:21 - mmengine - INFO - Epoch(train) [243][5/63] lr: 1.7659e-03 eta: 10:40:31 time: 0.9568 data_time: 0.2798 memory: 16395 loss: 2.3088 loss_prob: 1.4321 loss_thr: 0.6434 loss_db: 0.2333 2022/11/02 14:57:24 - mmengine - INFO - Epoch(train) [243][10/63] lr: 1.7659e-03 eta: 10:40:28 time: 0.9543 data_time: 0.2830 memory: 16395 loss: 2.3387 loss_prob: 1.4152 loss_thr: 0.6901 loss_db: 0.2333 2022/11/02 14:57:27 - mmengine - INFO - Epoch(train) [243][15/63] lr: 1.7659e-03 eta: 10:40:28 time: 0.6189 data_time: 0.0154 memory: 16395 loss: 2.1279 loss_prob: 1.2625 loss_thr: 0.6624 loss_db: 0.2030 2022/11/02 14:57:30 - mmengine - INFO - Epoch(train) [243][20/63] lr: 1.7659e-03 eta: 10:40:22 time: 0.6441 data_time: 0.0146 memory: 16395 loss: 2.1450 loss_prob: 1.2850 loss_thr: 0.6528 loss_db: 0.2071 2022/11/02 14:57:33 - mmengine - INFO - Epoch(train) [243][25/63] lr: 1.7659e-03 eta: 10:40:22 time: 0.5913 data_time: 0.0162 memory: 16395 loss: 2.1590 loss_prob: 1.3148 loss_thr: 0.6361 loss_db: 0.2080 2022/11/02 14:57:36 - mmengine - INFO - Epoch(train) [243][30/63] lr: 1.7659e-03 eta: 10:40:13 time: 0.5780 data_time: 0.0316 memory: 16395 loss: 2.1592 loss_prob: 1.3289 loss_thr: 0.6208 loss_db: 0.2096 2022/11/02 14:57:39 - mmengine - INFO - Epoch(train) [243][35/63] lr: 1.7659e-03 eta: 10:40:13 time: 0.6152 data_time: 0.0280 memory: 16395 loss: 2.1447 loss_prob: 1.2907 loss_thr: 0.6482 loss_db: 0.2058 2022/11/02 14:57:42 - mmengine - INFO - Epoch(train) [243][40/63] lr: 1.7659e-03 eta: 10:40:05 time: 0.5942 data_time: 0.0120 memory: 16395 loss: 2.1572 loss_prob: 1.2985 loss_thr: 0.6527 loss_db: 0.2061 2022/11/02 14:57:45 - mmengine - INFO - Epoch(train) [243][45/63] lr: 1.7659e-03 eta: 10:40:05 time: 0.5662 data_time: 0.0144 memory: 16395 loss: 2.0317 loss_prob: 1.2106 loss_thr: 0.6285 loss_db: 0.1926 2022/11/02 14:57:48 - mmengine - INFO - Epoch(train) [243][50/63] lr: 1.7659e-03 eta: 10:40:00 time: 0.6592 data_time: 0.0287 memory: 16395 loss: 1.9703 loss_prob: 1.1561 loss_thr: 0.6302 loss_db: 0.1840 2022/11/02 14:57:52 - mmengine - INFO - Epoch(train) [243][55/63] lr: 1.7659e-03 eta: 10:40:00 time: 0.7389 data_time: 0.0294 memory: 16395 loss: 2.0407 loss_prob: 1.1999 loss_thr: 0.6494 loss_db: 0.1915 2022/11/02 14:57:55 - mmengine - INFO - Epoch(train) [243][60/63] lr: 1.7659e-03 eta: 10:39:54 time: 0.6578 data_time: 0.0128 memory: 16395 loss: 2.0276 loss_prob: 1.1921 loss_thr: 0.6427 loss_db: 0.1927 2022/11/02 14:57:57 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:58:03 - mmengine - INFO - Epoch(train) [244][5/63] lr: 1.7642e-03 eta: 10:39:54 time: 0.8908 data_time: 0.2774 memory: 16395 loss: 2.1712 loss_prob: 1.3082 loss_thr: 0.6511 loss_db: 0.2120 2022/11/02 14:58:06 - mmengine - INFO - Epoch(train) [244][10/63] lr: 1.7642e-03 eta: 10:39:49 time: 0.9018 data_time: 0.2731 memory: 16395 loss: 2.1192 loss_prob: 1.2967 loss_thr: 0.6139 loss_db: 0.2085 2022/11/02 14:58:09 - mmengine - INFO - Epoch(train) [244][15/63] lr: 1.7642e-03 eta: 10:39:49 time: 0.6212 data_time: 0.0127 memory: 16395 loss: 2.5137 loss_prob: 1.6072 loss_thr: 0.6520 loss_db: 0.2546 2022/11/02 14:58:12 - mmengine - INFO - Epoch(train) [244][20/63] lr: 1.7642e-03 eta: 10:39:41 time: 0.6035 data_time: 0.0099 memory: 16395 loss: 2.6236 loss_prob: 1.6822 loss_thr: 0.6732 loss_db: 0.2682 2022/11/02 14:58:15 - mmengine - INFO - Epoch(train) [244][25/63] lr: 1.7642e-03 eta: 10:39:41 time: 0.5691 data_time: 0.0354 memory: 16395 loss: 2.2543 loss_prob: 1.3892 loss_thr: 0.6430 loss_db: 0.2221 2022/11/02 14:58:17 - mmengine - INFO - Epoch(train) [244][30/63] lr: 1.7642e-03 eta: 10:39:32 time: 0.5743 data_time: 0.0372 memory: 16395 loss: 2.2393 loss_prob: 1.3699 loss_thr: 0.6493 loss_db: 0.2200 2022/11/02 14:58:21 - mmengine - INFO - Epoch(train) [244][35/63] lr: 1.7642e-03 eta: 10:39:32 time: 0.5955 data_time: 0.0103 memory: 16395 loss: 2.2281 loss_prob: 1.3598 loss_thr: 0.6473 loss_db: 0.2210 2022/11/02 14:58:24 - mmengine - INFO - Epoch(train) [244][40/63] lr: 1.7642e-03 eta: 10:39:26 time: 0.6309 data_time: 0.0120 memory: 16395 loss: 2.1228 loss_prob: 1.2788 loss_thr: 0.6353 loss_db: 0.2087 2022/11/02 14:58:27 - mmengine - INFO - Epoch(train) [244][45/63] lr: 1.7642e-03 eta: 10:39:26 time: 0.6294 data_time: 0.0095 memory: 16395 loss: 2.1218 loss_prob: 1.2710 loss_thr: 0.6439 loss_db: 0.2070 2022/11/02 14:58:30 - mmengine - INFO - Epoch(train) [244][50/63] lr: 1.7642e-03 eta: 10:39:19 time: 0.6218 data_time: 0.0215 memory: 16395 loss: 2.1292 loss_prob: 1.2805 loss_thr: 0.6418 loss_db: 0.2069 2022/11/02 14:58:33 - mmengine - INFO - Epoch(train) [244][55/63] lr: 1.7642e-03 eta: 10:39:19 time: 0.6244 data_time: 0.0275 memory: 16395 loss: 2.0297 loss_prob: 1.2099 loss_thr: 0.6223 loss_db: 0.1976 2022/11/02 14:58:36 - mmengine - INFO - Epoch(train) [244][60/63] lr: 1.7642e-03 eta: 10:39:12 time: 0.6409 data_time: 0.0131 memory: 16395 loss: 1.9963 loss_prob: 1.1859 loss_thr: 0.6158 loss_db: 0.1947 2022/11/02 14:58:38 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:58:44 - mmengine - INFO - Epoch(train) [245][5/63] lr: 1.7625e-03 eta: 10:39:12 time: 0.9253 data_time: 0.2499 memory: 16395 loss: 2.0940 loss_prob: 1.2484 loss_thr: 0.6469 loss_db: 0.1987 2022/11/02 14:58:47 - mmengine - INFO - Epoch(train) [245][10/63] lr: 1.7625e-03 eta: 10:39:09 time: 0.9489 data_time: 0.2465 memory: 16395 loss: 2.2713 loss_prob: 1.3770 loss_thr: 0.6747 loss_db: 0.2196 2022/11/02 14:58:51 - mmengine - INFO - Epoch(train) [245][15/63] lr: 1.7625e-03 eta: 10:39:09 time: 0.6234 data_time: 0.0071 memory: 16395 loss: 2.2196 loss_prob: 1.3424 loss_thr: 0.6553 loss_db: 0.2219 2022/11/02 14:58:54 - mmengine - INFO - Epoch(train) [245][20/63] lr: 1.7625e-03 eta: 10:39:05 time: 0.7063 data_time: 0.0075 memory: 16395 loss: 2.1677 loss_prob: 1.3145 loss_thr: 0.6361 loss_db: 0.2171 2022/11/02 14:58:58 - mmengine - INFO - Epoch(train) [245][25/63] lr: 1.7625e-03 eta: 10:39:05 time: 0.7352 data_time: 0.0287 memory: 16395 loss: 2.2237 loss_prob: 1.3614 loss_thr: 0.6434 loss_db: 0.2189 2022/11/02 14:59:02 - mmengine - INFO - Epoch(train) [245][30/63] lr: 1.7625e-03 eta: 10:39:03 time: 0.7399 data_time: 0.0372 memory: 16395 loss: 2.1868 loss_prob: 1.2958 loss_thr: 0.6845 loss_db: 0.2066 2022/11/02 14:59:05 - mmengine - INFO - Epoch(train) [245][35/63] lr: 1.7625e-03 eta: 10:39:03 time: 0.6811 data_time: 0.0236 memory: 16395 loss: 2.2642 loss_prob: 1.3565 loss_thr: 0.6897 loss_db: 0.2180 2022/11/02 14:59:08 - mmengine - INFO - Epoch(train) [245][40/63] lr: 1.7625e-03 eta: 10:38:58 time: 0.6628 data_time: 0.0155 memory: 16395 loss: 2.1864 loss_prob: 1.3415 loss_thr: 0.6285 loss_db: 0.2164 2022/11/02 14:59:11 - mmengine - INFO - Epoch(train) [245][45/63] lr: 1.7625e-03 eta: 10:38:58 time: 0.6135 data_time: 0.0116 memory: 16395 loss: 2.1138 loss_prob: 1.2677 loss_thr: 0.6449 loss_db: 0.2012 2022/11/02 14:59:14 - mmengine - INFO - Epoch(train) [245][50/63] lr: 1.7625e-03 eta: 10:38:50 time: 0.6070 data_time: 0.0316 memory: 16395 loss: 2.1603 loss_prob: 1.2812 loss_thr: 0.6711 loss_db: 0.2080 2022/11/02 14:59:18 - mmengine - INFO - Epoch(train) [245][55/63] lr: 1.7625e-03 eta: 10:38:50 time: 0.6637 data_time: 0.0337 memory: 16395 loss: 2.0833 loss_prob: 1.2377 loss_thr: 0.6407 loss_db: 0.2049 2022/11/02 14:59:20 - mmengine - INFO - Epoch(train) [245][60/63] lr: 1.7625e-03 eta: 10:38:41 time: 0.5759 data_time: 0.0118 memory: 16395 loss: 2.1498 loss_prob: 1.2844 loss_thr: 0.6602 loss_db: 0.2052 2022/11/02 14:59:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 14:59:28 - mmengine - INFO - Epoch(train) [246][5/63] lr: 1.7609e-03 eta: 10:38:41 time: 0.9229 data_time: 0.2374 memory: 16395 loss: 2.1909 loss_prob: 1.3237 loss_thr: 0.6542 loss_db: 0.2129 2022/11/02 14:59:32 - mmengine - INFO - Epoch(train) [246][10/63] lr: 1.7609e-03 eta: 10:38:40 time: 1.0157 data_time: 0.2437 memory: 16395 loss: 2.1942 loss_prob: 1.3303 loss_thr: 0.6510 loss_db: 0.2129 2022/11/02 14:59:36 - mmengine - INFO - Epoch(train) [246][15/63] lr: 1.7609e-03 eta: 10:38:40 time: 0.7211 data_time: 0.0141 memory: 16395 loss: 2.0532 loss_prob: 1.2127 loss_thr: 0.6462 loss_db: 0.1943 2022/11/02 14:59:40 - mmengine - INFO - Epoch(train) [246][20/63] lr: 1.7609e-03 eta: 10:38:40 time: 0.7934 data_time: 0.0081 memory: 16395 loss: 2.0845 loss_prob: 1.2428 loss_thr: 0.6415 loss_db: 0.2002 2022/11/02 14:59:43 - mmengine - INFO - Epoch(train) [246][25/63] lr: 1.7609e-03 eta: 10:38:40 time: 0.7246 data_time: 0.0363 memory: 16395 loss: 2.3620 loss_prob: 1.4520 loss_thr: 0.6725 loss_db: 0.2375 2022/11/02 14:59:47 - mmengine - INFO - Epoch(train) [246][30/63] lr: 1.7609e-03 eta: 10:38:35 time: 0.6763 data_time: 0.0404 memory: 16395 loss: 2.5035 loss_prob: 1.5564 loss_thr: 0.6928 loss_db: 0.2544 2022/11/02 14:59:50 - mmengine - INFO - Epoch(train) [246][35/63] lr: 1.7609e-03 eta: 10:38:35 time: 0.7108 data_time: 0.0198 memory: 16395 loss: 2.4513 loss_prob: 1.5178 loss_thr: 0.6893 loss_db: 0.2443 2022/11/02 14:59:53 - mmengine - INFO - Epoch(train) [246][40/63] lr: 1.7609e-03 eta: 10:38:28 time: 0.6294 data_time: 0.0168 memory: 16395 loss: 2.3796 loss_prob: 1.4790 loss_thr: 0.6672 loss_db: 0.2334 2022/11/02 14:59:56 - mmengine - INFO - Epoch(train) [246][45/63] lr: 1.7609e-03 eta: 10:38:28 time: 0.5865 data_time: 0.0091 memory: 16395 loss: 2.1853 loss_prob: 1.3398 loss_thr: 0.6352 loss_db: 0.2103 2022/11/02 14:59:59 - mmengine - INFO - Epoch(train) [246][50/63] lr: 1.7609e-03 eta: 10:38:20 time: 0.5920 data_time: 0.0203 memory: 16395 loss: 2.3644 loss_prob: 1.4622 loss_thr: 0.6670 loss_db: 0.2352 2022/11/02 15:00:02 - mmengine - INFO - Epoch(train) [246][55/63] lr: 1.7609e-03 eta: 10:38:20 time: 0.5771 data_time: 0.0271 memory: 16395 loss: 2.6182 loss_prob: 1.6389 loss_thr: 0.7120 loss_db: 0.2673 2022/11/02 15:00:05 - mmengine - INFO - Epoch(train) [246][60/63] lr: 1.7609e-03 eta: 10:38:12 time: 0.5917 data_time: 0.0142 memory: 16395 loss: 2.5906 loss_prob: 1.6066 loss_thr: 0.7239 loss_db: 0.2602 2022/11/02 15:00:06 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:00:13 - mmengine - INFO - Epoch(train) [247][5/63] lr: 1.7592e-03 eta: 10:38:12 time: 0.9130 data_time: 0.2385 memory: 16395 loss: 2.2621 loss_prob: 1.3529 loss_thr: 0.6818 loss_db: 0.2273 2022/11/02 15:00:17 - mmengine - INFO - Epoch(train) [247][10/63] lr: 1.7592e-03 eta: 10:38:13 time: 1.0659 data_time: 0.2467 memory: 16395 loss: 2.2459 loss_prob: 1.3532 loss_thr: 0.6718 loss_db: 0.2209 2022/11/02 15:00:20 - mmengine - INFO - Epoch(train) [247][15/63] lr: 1.7592e-03 eta: 10:38:13 time: 0.7638 data_time: 0.0231 memory: 16395 loss: 2.2209 loss_prob: 1.3523 loss_thr: 0.6529 loss_db: 0.2157 2022/11/02 15:00:24 - mmengine - INFO - Epoch(train) [247][20/63] lr: 1.7592e-03 eta: 10:38:08 time: 0.6637 data_time: 0.0149 memory: 16395 loss: 2.2368 loss_prob: 1.3624 loss_thr: 0.6556 loss_db: 0.2188 2022/11/02 15:00:27 - mmengine - INFO - Epoch(train) [247][25/63] lr: 1.7592e-03 eta: 10:38:08 time: 0.6608 data_time: 0.0160 memory: 16395 loss: 2.0881 loss_prob: 1.2487 loss_thr: 0.6378 loss_db: 0.2016 2022/11/02 15:00:30 - mmengine - INFO - Epoch(train) [247][30/63] lr: 1.7592e-03 eta: 10:38:02 time: 0.6397 data_time: 0.0411 memory: 16395 loss: 1.8496 loss_prob: 1.0897 loss_thr: 0.5850 loss_db: 0.1749 2022/11/02 15:00:33 - mmengine - INFO - Epoch(train) [247][35/63] lr: 1.7592e-03 eta: 10:38:02 time: 0.6212 data_time: 0.0344 memory: 16395 loss: 1.8904 loss_prob: 1.1327 loss_thr: 0.5710 loss_db: 0.1867 2022/11/02 15:00:36 - mmengine - INFO - Epoch(train) [247][40/63] lr: 1.7592e-03 eta: 10:37:54 time: 0.6169 data_time: 0.0114 memory: 16395 loss: 1.9662 loss_prob: 1.1960 loss_thr: 0.5771 loss_db: 0.1931 2022/11/02 15:00:39 - mmengine - INFO - Epoch(train) [247][45/63] lr: 1.7592e-03 eta: 10:37:54 time: 0.6165 data_time: 0.0111 memory: 16395 loss: 2.0071 loss_prob: 1.2192 loss_thr: 0.5934 loss_db: 0.1945 2022/11/02 15:00:42 - mmengine - INFO - Epoch(train) [247][50/63] lr: 1.7592e-03 eta: 10:37:47 time: 0.6091 data_time: 0.0155 memory: 16395 loss: 2.2127 loss_prob: 1.3548 loss_thr: 0.6376 loss_db: 0.2204 2022/11/02 15:00:46 - mmengine - INFO - Epoch(train) [247][55/63] lr: 1.7592e-03 eta: 10:37:47 time: 0.6239 data_time: 0.0300 memory: 16395 loss: 2.2187 loss_prob: 1.3490 loss_thr: 0.6496 loss_db: 0.2201 2022/11/02 15:00:49 - mmengine - INFO - Epoch(train) [247][60/63] lr: 1.7592e-03 eta: 10:37:41 time: 0.6513 data_time: 0.0233 memory: 16395 loss: 2.0762 loss_prob: 1.2455 loss_thr: 0.6342 loss_db: 0.1964 2022/11/02 15:00:51 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:00:59 - mmengine - INFO - Epoch(train) [248][5/63] lr: 1.7576e-03 eta: 10:37:41 time: 1.1100 data_time: 0.3372 memory: 16395 loss: 2.1305 loss_prob: 1.2969 loss_thr: 0.6289 loss_db: 0.2047 2022/11/02 15:01:02 - mmengine - INFO - Epoch(train) [248][10/63] lr: 1.7576e-03 eta: 10:37:41 time: 1.0391 data_time: 0.3391 memory: 16395 loss: 2.3147 loss_prob: 1.4286 loss_thr: 0.6584 loss_db: 0.2277 2022/11/02 15:01:05 - mmengine - INFO - Epoch(train) [248][15/63] lr: 1.7576e-03 eta: 10:37:41 time: 0.6665 data_time: 0.0154 memory: 16395 loss: 2.2115 loss_prob: 1.3372 loss_thr: 0.6592 loss_db: 0.2150 2022/11/02 15:01:09 - mmengine - INFO - Epoch(train) [248][20/63] lr: 1.7576e-03 eta: 10:37:39 time: 0.7653 data_time: 0.0132 memory: 16395 loss: 2.0705 loss_prob: 1.2458 loss_thr: 0.6251 loss_db: 0.1995 2022/11/02 15:01:13 - mmengine - INFO - Epoch(train) [248][25/63] lr: 1.7576e-03 eta: 10:37:39 time: 0.7534 data_time: 0.0520 memory: 16395 loss: 2.2494 loss_prob: 1.3690 loss_thr: 0.6632 loss_db: 0.2172 2022/11/02 15:01:16 - mmengine - INFO - Epoch(train) [248][30/63] lr: 1.7576e-03 eta: 10:37:34 time: 0.6566 data_time: 0.0519 memory: 16395 loss: 2.2676 loss_prob: 1.3798 loss_thr: 0.6644 loss_db: 0.2234 2022/11/02 15:01:19 - mmengine - INFO - Epoch(train) [248][35/63] lr: 1.7576e-03 eta: 10:37:34 time: 0.5925 data_time: 0.0133 memory: 16395 loss: 2.4602 loss_prob: 1.5481 loss_thr: 0.6605 loss_db: 0.2516 2022/11/02 15:01:22 - mmengine - INFO - Epoch(train) [248][40/63] lr: 1.7576e-03 eta: 10:37:28 time: 0.6476 data_time: 0.0158 memory: 16395 loss: 2.4356 loss_prob: 1.5177 loss_thr: 0.6753 loss_db: 0.2426 2022/11/02 15:01:26 - mmengine - INFO - Epoch(train) [248][45/63] lr: 1.7576e-03 eta: 10:37:28 time: 0.6953 data_time: 0.0132 memory: 16395 loss: 2.0108 loss_prob: 1.1832 loss_thr: 0.6378 loss_db: 0.1899 2022/11/02 15:01:29 - mmengine - INFO - Epoch(train) [248][50/63] lr: 1.7576e-03 eta: 10:37:22 time: 0.6479 data_time: 0.0250 memory: 16395 loss: 2.0867 loss_prob: 1.2314 loss_thr: 0.6558 loss_db: 0.1995 2022/11/02 15:01:32 - mmengine - INFO - Epoch(train) [248][55/63] lr: 1.7576e-03 eta: 10:37:22 time: 0.5794 data_time: 0.0241 memory: 16395 loss: 2.1272 loss_prob: 1.2619 loss_thr: 0.6564 loss_db: 0.2089 2022/11/02 15:01:36 - mmengine - INFO - Epoch(train) [248][60/63] lr: 1.7576e-03 eta: 10:37:17 time: 0.6704 data_time: 0.0148 memory: 16395 loss: 2.2931 loss_prob: 1.3968 loss_thr: 0.6675 loss_db: 0.2287 2022/11/02 15:01:37 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:01:43 - mmengine - INFO - Epoch(train) [249][5/63] lr: 1.7559e-03 eta: 10:37:17 time: 0.8633 data_time: 0.2167 memory: 16395 loss: 2.2203 loss_prob: 1.3525 loss_thr: 0.6523 loss_db: 0.2155 2022/11/02 15:01:47 - mmengine - INFO - Epoch(train) [249][10/63] lr: 1.7559e-03 eta: 10:37:14 time: 0.9769 data_time: 0.2275 memory: 16395 loss: 2.2615 loss_prob: 1.3823 loss_thr: 0.6557 loss_db: 0.2235 2022/11/02 15:01:50 - mmengine - INFO - Epoch(train) [249][15/63] lr: 1.7559e-03 eta: 10:37:14 time: 0.6804 data_time: 0.0252 memory: 16395 loss: 2.3070 loss_prob: 1.3979 loss_thr: 0.6847 loss_db: 0.2244 2022/11/02 15:01:53 - mmengine - INFO - Epoch(train) [249][20/63] lr: 1.7559e-03 eta: 10:37:07 time: 0.6275 data_time: 0.0111 memory: 16395 loss: 2.2121 loss_prob: 1.3063 loss_thr: 0.6961 loss_db: 0.2097 2022/11/02 15:01:56 - mmengine - INFO - Epoch(train) [249][25/63] lr: 1.7559e-03 eta: 10:37:07 time: 0.6509 data_time: 0.0146 memory: 16395 loss: 2.1748 loss_prob: 1.2993 loss_thr: 0.6625 loss_db: 0.2130 2022/11/02 15:02:00 - mmengine - INFO - Epoch(train) [249][30/63] lr: 1.7559e-03 eta: 10:37:03 time: 0.6943 data_time: 0.0339 memory: 16395 loss: 2.2761 loss_prob: 1.4125 loss_thr: 0.6360 loss_db: 0.2276 2022/11/02 15:02:03 - mmengine - INFO - Epoch(train) [249][35/63] lr: 1.7559e-03 eta: 10:37:03 time: 0.6727 data_time: 0.0382 memory: 16395 loss: 2.3043 loss_prob: 1.4361 loss_thr: 0.6426 loss_db: 0.2256 2022/11/02 15:02:07 - mmengine - INFO - Epoch(train) [249][40/63] lr: 1.7559e-03 eta: 10:36:59 time: 0.6824 data_time: 0.0204 memory: 16395 loss: 2.1773 loss_prob: 1.3122 loss_thr: 0.6578 loss_db: 0.2073 2022/11/02 15:02:10 - mmengine - INFO - Epoch(train) [249][45/63] lr: 1.7559e-03 eta: 10:36:59 time: 0.7069 data_time: 0.0119 memory: 16395 loss: 2.1034 loss_prob: 1.2523 loss_thr: 0.6498 loss_db: 0.2014 2022/11/02 15:02:14 - mmengine - INFO - Epoch(train) [249][50/63] lr: 1.7559e-03 eta: 10:36:56 time: 0.7298 data_time: 0.0272 memory: 16395 loss: 2.1151 loss_prob: 1.2905 loss_thr: 0.6141 loss_db: 0.2105 2022/11/02 15:02:17 - mmengine - INFO - Epoch(train) [249][55/63] lr: 1.7559e-03 eta: 10:36:56 time: 0.7263 data_time: 0.0283 memory: 16395 loss: 2.0094 loss_prob: 1.2029 loss_thr: 0.6154 loss_db: 0.1911 2022/11/02 15:02:21 - mmengine - INFO - Epoch(train) [249][60/63] lr: 1.7559e-03 eta: 10:36:49 time: 0.6406 data_time: 0.0175 memory: 16395 loss: 1.8333 loss_prob: 1.0591 loss_thr: 0.6064 loss_db: 0.1678 2022/11/02 15:02:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:02:28 - mmengine - INFO - Epoch(train) [250][5/63] lr: 1.7542e-03 eta: 10:36:49 time: 0.8975 data_time: 0.2281 memory: 16395 loss: 2.1971 loss_prob: 1.3263 loss_thr: 0.6574 loss_db: 0.2134 2022/11/02 15:02:31 - mmengine - INFO - Epoch(train) [250][10/63] lr: 1.7542e-03 eta: 10:36:45 time: 0.9295 data_time: 0.2384 memory: 16395 loss: 2.4011 loss_prob: 1.4750 loss_thr: 0.6816 loss_db: 0.2445 2022/11/02 15:02:35 - mmengine - INFO - Epoch(train) [250][15/63] lr: 1.7542e-03 eta: 10:36:45 time: 0.6635 data_time: 0.0183 memory: 16395 loss: 2.2861 loss_prob: 1.4020 loss_thr: 0.6511 loss_db: 0.2331 2022/11/02 15:02:39 - mmengine - INFO - Epoch(train) [250][20/63] lr: 1.7542e-03 eta: 10:36:42 time: 0.7236 data_time: 0.0145 memory: 16395 loss: 2.0591 loss_prob: 1.2253 loss_thr: 0.6339 loss_db: 0.1999 2022/11/02 15:02:42 - mmengine - INFO - Epoch(train) [250][25/63] lr: 1.7542e-03 eta: 10:36:42 time: 0.6644 data_time: 0.0152 memory: 16395 loss: 2.0059 loss_prob: 1.1762 loss_thr: 0.6395 loss_db: 0.1902 2022/11/02 15:02:45 - mmengine - INFO - Epoch(train) [250][30/63] lr: 1.7542e-03 eta: 10:36:36 time: 0.6630 data_time: 0.0352 memory: 16395 loss: 1.9620 loss_prob: 1.1580 loss_thr: 0.6186 loss_db: 0.1855 2022/11/02 15:02:48 - mmengine - INFO - Epoch(train) [250][35/63] lr: 1.7542e-03 eta: 10:36:36 time: 0.6805 data_time: 0.0440 memory: 16395 loss: 1.9917 loss_prob: 1.1853 loss_thr: 0.6168 loss_db: 0.1895 2022/11/02 15:02:51 - mmengine - INFO - Epoch(train) [250][40/63] lr: 1.7542e-03 eta: 10:36:30 time: 0.6250 data_time: 0.0182 memory: 16395 loss: 2.0363 loss_prob: 1.2250 loss_thr: 0.6153 loss_db: 0.1960 2022/11/02 15:02:55 - mmengine - INFO - Epoch(train) [250][45/63] lr: 1.7542e-03 eta: 10:36:30 time: 0.6217 data_time: 0.0075 memory: 16395 loss: 2.0792 loss_prob: 1.2612 loss_thr: 0.6111 loss_db: 0.2069 2022/11/02 15:02:58 - mmengine - INFO - Epoch(train) [250][50/63] lr: 1.7542e-03 eta: 10:36:23 time: 0.6442 data_time: 0.0094 memory: 16395 loss: 2.0489 loss_prob: 1.2371 loss_thr: 0.6106 loss_db: 0.2013 2022/11/02 15:03:02 - mmengine - INFO - Epoch(train) [250][55/63] lr: 1.7542e-03 eta: 10:36:23 time: 0.6898 data_time: 0.0279 memory: 16395 loss: 2.0985 loss_prob: 1.2673 loss_thr: 0.6277 loss_db: 0.2035 2022/11/02 15:03:05 - mmengine - INFO - Epoch(train) [250][60/63] lr: 1.7542e-03 eta: 10:36:19 time: 0.6983 data_time: 0.0328 memory: 16395 loss: 2.0921 loss_prob: 1.2525 loss_thr: 0.6378 loss_db: 0.2019 2022/11/02 15:03:06 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:03:13 - mmengine - INFO - Epoch(train) [251][5/63] lr: 1.7526e-03 eta: 10:36:19 time: 0.9030 data_time: 0.2232 memory: 16395 loss: 2.0680 loss_prob: 1.2135 loss_thr: 0.6546 loss_db: 0.2000 2022/11/02 15:03:16 - mmengine - INFO - Epoch(train) [251][10/63] lr: 1.7526e-03 eta: 10:36:17 time: 0.9931 data_time: 0.2231 memory: 16395 loss: 2.1631 loss_prob: 1.3077 loss_thr: 0.6384 loss_db: 0.2171 2022/11/02 15:03:19 - mmengine - INFO - Epoch(train) [251][15/63] lr: 1.7526e-03 eta: 10:36:17 time: 0.6377 data_time: 0.0118 memory: 16395 loss: 2.1894 loss_prob: 1.3530 loss_thr: 0.6165 loss_db: 0.2199 2022/11/02 15:03:22 - mmengine - INFO - Epoch(train) [251][20/63] lr: 1.7526e-03 eta: 10:36:07 time: 0.5418 data_time: 0.0100 memory: 16395 loss: 2.2089 loss_prob: 1.3591 loss_thr: 0.6387 loss_db: 0.2110 2022/11/02 15:03:25 - mmengine - INFO - Epoch(train) [251][25/63] lr: 1.7526e-03 eta: 10:36:07 time: 0.5840 data_time: 0.0254 memory: 16395 loss: 2.1224 loss_prob: 1.2786 loss_thr: 0.6429 loss_db: 0.2009 2022/11/02 15:03:29 - mmengine - INFO - Epoch(train) [251][30/63] lr: 1.7526e-03 eta: 10:36:03 time: 0.7032 data_time: 0.0370 memory: 16395 loss: 2.0080 loss_prob: 1.1927 loss_thr: 0.6235 loss_db: 0.1917 2022/11/02 15:03:32 - mmengine - INFO - Epoch(train) [251][35/63] lr: 1.7526e-03 eta: 10:36:03 time: 0.6811 data_time: 0.0233 memory: 16395 loss: 2.0391 loss_prob: 1.2133 loss_thr: 0.6308 loss_db: 0.1951 2022/11/02 15:03:35 - mmengine - INFO - Epoch(train) [251][40/63] lr: 1.7526e-03 eta: 10:35:58 time: 0.6550 data_time: 0.0094 memory: 16395 loss: 2.0367 loss_prob: 1.2114 loss_thr: 0.6280 loss_db: 0.1972 2022/11/02 15:03:39 - mmengine - INFO - Epoch(train) [251][45/63] lr: 1.7526e-03 eta: 10:35:58 time: 0.6937 data_time: 0.0073 memory: 16395 loss: 2.0650 loss_prob: 1.2147 loss_thr: 0.6496 loss_db: 0.2008 2022/11/02 15:03:42 - mmengine - INFO - Epoch(train) [251][50/63] lr: 1.7526e-03 eta: 10:35:51 time: 0.6278 data_time: 0.0282 memory: 16395 loss: 2.2982 loss_prob: 1.3961 loss_thr: 0.6719 loss_db: 0.2302 2022/11/02 15:03:45 - mmengine - INFO - Epoch(train) [251][55/63] lr: 1.7526e-03 eta: 10:35:51 time: 0.5915 data_time: 0.0295 memory: 16395 loss: 2.2206 loss_prob: 1.3574 loss_thr: 0.6437 loss_db: 0.2195 2022/11/02 15:03:48 - mmengine - INFO - Epoch(train) [251][60/63] lr: 1.7526e-03 eta: 10:35:43 time: 0.6082 data_time: 0.0136 memory: 16395 loss: 2.0051 loss_prob: 1.1949 loss_thr: 0.6198 loss_db: 0.1904 2022/11/02 15:03:49 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:03:54 - mmengine - INFO - Epoch(train) [252][5/63] lr: 1.7509e-03 eta: 10:35:43 time: 0.7667 data_time: 0.2646 memory: 16395 loss: 1.9124 loss_prob: 1.1236 loss_thr: 0.6060 loss_db: 0.1829 2022/11/02 15:03:57 - mmengine - INFO - Epoch(train) [252][10/63] lr: 1.7509e-03 eta: 10:35:35 time: 0.8296 data_time: 0.2653 memory: 16395 loss: 1.9882 loss_prob: 1.1758 loss_thr: 0.6227 loss_db: 0.1897 2022/11/02 15:04:01 - mmengine - INFO - Epoch(train) [252][15/63] lr: 1.7509e-03 eta: 10:35:35 time: 0.6376 data_time: 0.0106 memory: 16395 loss: 1.9969 loss_prob: 1.1769 loss_thr: 0.6317 loss_db: 0.1883 2022/11/02 15:04:04 - mmengine - INFO - Epoch(train) [252][20/63] lr: 1.7509e-03 eta: 10:35:28 time: 0.6309 data_time: 0.0103 memory: 16395 loss: 1.8945 loss_prob: 1.0996 loss_thr: 0.6177 loss_db: 0.1772 2022/11/02 15:04:07 - mmengine - INFO - Epoch(train) [252][25/63] lr: 1.7509e-03 eta: 10:35:28 time: 0.6743 data_time: 0.0472 memory: 16395 loss: 1.9700 loss_prob: 1.1499 loss_thr: 0.6354 loss_db: 0.1847 2022/11/02 15:04:11 - mmengine - INFO - Epoch(train) [252][30/63] lr: 1.7509e-03 eta: 10:35:26 time: 0.7369 data_time: 0.0487 memory: 16395 loss: 2.0296 loss_prob: 1.2101 loss_thr: 0.6246 loss_db: 0.1949 2022/11/02 15:04:14 - mmengine - INFO - Epoch(train) [252][35/63] lr: 1.7509e-03 eta: 10:35:26 time: 0.7034 data_time: 0.0174 memory: 16395 loss: 2.0471 loss_prob: 1.2233 loss_thr: 0.6249 loss_db: 0.1989 2022/11/02 15:04:18 - mmengine - INFO - Epoch(train) [252][40/63] lr: 1.7509e-03 eta: 10:35:21 time: 0.6945 data_time: 0.0144 memory: 16395 loss: 2.1146 loss_prob: 1.2464 loss_thr: 0.6704 loss_db: 0.1977 2022/11/02 15:04:21 - mmengine - INFO - Epoch(train) [252][45/63] lr: 1.7509e-03 eta: 10:35:21 time: 0.6665 data_time: 0.0096 memory: 16395 loss: 2.2351 loss_prob: 1.3511 loss_thr: 0.6721 loss_db: 0.2119 2022/11/02 15:04:24 - mmengine - INFO - Epoch(train) [252][50/63] lr: 1.7509e-03 eta: 10:35:14 time: 0.6196 data_time: 0.0249 memory: 16395 loss: 2.1145 loss_prob: 1.2811 loss_thr: 0.6288 loss_db: 0.2046 2022/11/02 15:04:27 - mmengine - INFO - Epoch(train) [252][55/63] lr: 1.7509e-03 eta: 10:35:14 time: 0.6133 data_time: 0.0247 memory: 16395 loss: 1.9556 loss_prob: 1.1609 loss_thr: 0.6065 loss_db: 0.1882 2022/11/02 15:04:31 - mmengine - INFO - Epoch(train) [252][60/63] lr: 1.7509e-03 eta: 10:35:08 time: 0.6411 data_time: 0.0131 memory: 16395 loss: 1.9007 loss_prob: 1.1338 loss_thr: 0.5876 loss_db: 0.1794 2022/11/02 15:04:32 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:04:38 - mmengine - INFO - Epoch(train) [253][5/63] lr: 1.7492e-03 eta: 10:35:08 time: 0.8773 data_time: 0.2556 memory: 16395 loss: 2.0697 loss_prob: 1.2481 loss_thr: 0.6178 loss_db: 0.2038 2022/11/02 15:04:41 - mmengine - INFO - Epoch(train) [253][10/63] lr: 1.7492e-03 eta: 10:35:04 time: 0.9331 data_time: 0.2555 memory: 16395 loss: 2.1380 loss_prob: 1.2900 loss_thr: 0.6409 loss_db: 0.2072 2022/11/02 15:04:46 - mmengine - INFO - Epoch(train) [253][15/63] lr: 1.7492e-03 eta: 10:35:04 time: 0.7666 data_time: 0.0110 memory: 16395 loss: 2.0835 loss_prob: 1.2449 loss_thr: 0.6405 loss_db: 0.1981 2022/11/02 15:04:49 - mmengine - INFO - Epoch(train) [253][20/63] lr: 1.7492e-03 eta: 10:35:01 time: 0.7248 data_time: 0.0118 memory: 16395 loss: 1.9782 loss_prob: 1.1632 loss_thr: 0.6261 loss_db: 0.1889 2022/11/02 15:04:52 - mmengine - INFO - Epoch(train) [253][25/63] lr: 1.7492e-03 eta: 10:35:01 time: 0.5695 data_time: 0.0162 memory: 16395 loss: 1.9933 loss_prob: 1.1800 loss_thr: 0.6258 loss_db: 0.1875 2022/11/02 15:04:55 - mmengine - INFO - Epoch(train) [253][30/63] lr: 1.7492e-03 eta: 10:34:55 time: 0.6498 data_time: 0.0382 memory: 16395 loss: 2.0432 loss_prob: 1.2189 loss_thr: 0.6303 loss_db: 0.1939 2022/11/02 15:04:58 - mmengine - INFO - Epoch(train) [253][35/63] lr: 1.7492e-03 eta: 10:34:55 time: 0.6446 data_time: 0.0445 memory: 16395 loss: 2.0564 loss_prob: 1.2177 loss_thr: 0.6442 loss_db: 0.1945 2022/11/02 15:05:01 - mmengine - INFO - Epoch(train) [253][40/63] lr: 1.7492e-03 eta: 10:34:47 time: 0.6006 data_time: 0.0195 memory: 16395 loss: 2.1329 loss_prob: 1.2631 loss_thr: 0.6669 loss_db: 0.2028 2022/11/02 15:05:04 - mmengine - INFO - Epoch(train) [253][45/63] lr: 1.7492e-03 eta: 10:34:47 time: 0.5648 data_time: 0.0095 memory: 16395 loss: 2.1385 loss_prob: 1.2725 loss_thr: 0.6612 loss_db: 0.2049 2022/11/02 15:05:07 - mmengine - INFO - Epoch(train) [253][50/63] lr: 1.7492e-03 eta: 10:34:38 time: 0.5843 data_time: 0.0286 memory: 16395 loss: 2.0099 loss_prob: 1.1949 loss_thr: 0.6243 loss_db: 0.1907 2022/11/02 15:05:10 - mmengine - INFO - Epoch(train) [253][55/63] lr: 1.7492e-03 eta: 10:34:38 time: 0.6445 data_time: 0.0327 memory: 16395 loss: 1.9790 loss_prob: 1.1674 loss_thr: 0.6267 loss_db: 0.1848 2022/11/02 15:05:13 - mmengine - INFO - Epoch(train) [253][60/63] lr: 1.7492e-03 eta: 10:34:32 time: 0.6417 data_time: 0.0142 memory: 16395 loss: 2.0051 loss_prob: 1.1752 loss_thr: 0.6404 loss_db: 0.1894 2022/11/02 15:05:15 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:05:21 - mmengine - INFO - Epoch(train) [254][5/63] lr: 1.7476e-03 eta: 10:34:32 time: 0.9214 data_time: 0.2755 memory: 16395 loss: 2.0755 loss_prob: 1.2325 loss_thr: 0.6401 loss_db: 0.2029 2022/11/02 15:05:25 - mmengine - INFO - Epoch(train) [254][10/63] lr: 1.7476e-03 eta: 10:34:32 time: 1.0528 data_time: 0.2769 memory: 16395 loss: 2.0953 loss_prob: 1.2633 loss_thr: 0.6276 loss_db: 0.2043 2022/11/02 15:05:28 - mmengine - INFO - Epoch(train) [254][15/63] lr: 1.7476e-03 eta: 10:34:32 time: 0.6471 data_time: 0.0119 memory: 16395 loss: 2.3921 loss_prob: 1.4530 loss_thr: 0.6917 loss_db: 0.2474 2022/11/02 15:05:31 - mmengine - INFO - Epoch(train) [254][20/63] lr: 1.7476e-03 eta: 10:34:23 time: 0.5707 data_time: 0.0100 memory: 16395 loss: 2.4215 loss_prob: 1.4656 loss_thr: 0.7041 loss_db: 0.2518 2022/11/02 15:05:34 - mmengine - INFO - Epoch(train) [254][25/63] lr: 1.7476e-03 eta: 10:34:23 time: 0.6086 data_time: 0.0440 memory: 16395 loss: 2.1865 loss_prob: 1.3176 loss_thr: 0.6524 loss_db: 0.2166 2022/11/02 15:05:37 - mmengine - INFO - Epoch(train) [254][30/63] lr: 1.7476e-03 eta: 10:34:16 time: 0.6078 data_time: 0.0672 memory: 16395 loss: 2.1934 loss_prob: 1.3299 loss_thr: 0.6451 loss_db: 0.2184 2022/11/02 15:05:40 - mmengine - INFO - Epoch(train) [254][35/63] lr: 1.7476e-03 eta: 10:34:16 time: 0.5993 data_time: 0.0305 memory: 16395 loss: 2.0937 loss_prob: 1.2559 loss_thr: 0.6308 loss_db: 0.2071 2022/11/02 15:05:43 - mmengine - INFO - Epoch(train) [254][40/63] lr: 1.7476e-03 eta: 10:34:08 time: 0.6041 data_time: 0.0072 memory: 16395 loss: 1.9698 loss_prob: 1.1506 loss_thr: 0.6276 loss_db: 0.1917 2022/11/02 15:05:47 - mmengine - INFO - Epoch(train) [254][45/63] lr: 1.7476e-03 eta: 10:34:08 time: 0.6495 data_time: 0.0067 memory: 16395 loss: 2.0541 loss_prob: 1.2030 loss_thr: 0.6535 loss_db: 0.1976 2022/11/02 15:05:51 - mmengine - INFO - Epoch(train) [254][50/63] lr: 1.7476e-03 eta: 10:34:06 time: 0.7524 data_time: 0.0290 memory: 16395 loss: 2.2479 loss_prob: 1.3556 loss_thr: 0.6716 loss_db: 0.2206 2022/11/02 15:05:54 - mmengine - INFO - Epoch(train) [254][55/63] lr: 1.7476e-03 eta: 10:34:06 time: 0.7351 data_time: 0.0287 memory: 16395 loss: 2.2100 loss_prob: 1.3406 loss_thr: 0.6509 loss_db: 0.2186 2022/11/02 15:05:57 - mmengine - INFO - Epoch(train) [254][60/63] lr: 1.7476e-03 eta: 10:34:01 time: 0.6669 data_time: 0.0065 memory: 16395 loss: 2.1628 loss_prob: 1.2974 loss_thr: 0.6518 loss_db: 0.2135 2022/11/02 15:05:58 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:05:59 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:06:05 - mmengine - INFO - Epoch(train) [255][5/63] lr: 1.7459e-03 eta: 10:34:01 time: 0.9364 data_time: 0.2919 memory: 16395 loss: 2.0043 loss_prob: 1.1961 loss_thr: 0.6185 loss_db: 0.1896 2022/11/02 15:06:09 - mmengine - INFO - Epoch(train) [255][10/63] lr: 1.7459e-03 eta: 10:33:58 time: 0.9880 data_time: 0.2914 memory: 16395 loss: 1.9981 loss_prob: 1.1963 loss_thr: 0.6117 loss_db: 0.1900 2022/11/02 15:06:13 - mmengine - INFO - Epoch(train) [255][15/63] lr: 1.7459e-03 eta: 10:33:58 time: 0.7060 data_time: 0.0087 memory: 16395 loss: 1.9703 loss_prob: 1.1679 loss_thr: 0.6114 loss_db: 0.1910 2022/11/02 15:06:16 - mmengine - INFO - Epoch(train) [255][20/63] lr: 1.7459e-03 eta: 10:33:53 time: 0.6640 data_time: 0.0104 memory: 16395 loss: 2.0103 loss_prob: 1.1950 loss_thr: 0.6246 loss_db: 0.1907 2022/11/02 15:06:19 - mmengine - INFO - Epoch(train) [255][25/63] lr: 1.7459e-03 eta: 10:33:53 time: 0.6590 data_time: 0.0393 memory: 16395 loss: 2.0320 loss_prob: 1.2003 loss_thr: 0.6371 loss_db: 0.1945 2022/11/02 15:06:22 - mmengine - INFO - Epoch(train) [255][30/63] lr: 1.7459e-03 eta: 10:33:47 time: 0.6449 data_time: 0.0389 memory: 16395 loss: 1.9711 loss_prob: 1.1556 loss_thr: 0.6228 loss_db: 0.1927 2022/11/02 15:06:26 - mmengine - INFO - Epoch(train) [255][35/63] lr: 1.7459e-03 eta: 10:33:47 time: 0.6421 data_time: 0.0093 memory: 16395 loss: 2.0253 loss_prob: 1.2143 loss_thr: 0.6142 loss_db: 0.1968 2022/11/02 15:06:28 - mmengine - INFO - Epoch(train) [255][40/63] lr: 1.7459e-03 eta: 10:33:40 time: 0.6221 data_time: 0.0089 memory: 16395 loss: 2.2346 loss_prob: 1.3534 loss_thr: 0.6602 loss_db: 0.2210 2022/11/02 15:06:32 - mmengine - INFO - Epoch(train) [255][45/63] lr: 1.7459e-03 eta: 10:33:40 time: 0.6069 data_time: 0.0106 memory: 16395 loss: 2.0902 loss_prob: 1.2377 loss_thr: 0.6509 loss_db: 0.2016 2022/11/02 15:06:35 - mmengine - INFO - Epoch(train) [255][50/63] lr: 1.7459e-03 eta: 10:33:33 time: 0.6336 data_time: 0.0254 memory: 16395 loss: 2.0517 loss_prob: 1.2382 loss_thr: 0.6224 loss_db: 0.1911 2022/11/02 15:06:38 - mmengine - INFO - Epoch(train) [255][55/63] lr: 1.7459e-03 eta: 10:33:33 time: 0.6073 data_time: 0.0274 memory: 16395 loss: 2.1577 loss_prob: 1.3164 loss_thr: 0.6365 loss_db: 0.2048 2022/11/02 15:06:41 - mmengine - INFO - Epoch(train) [255][60/63] lr: 1.7459e-03 eta: 10:33:26 time: 0.6232 data_time: 0.0108 memory: 16395 loss: 2.1950 loss_prob: 1.3248 loss_thr: 0.6605 loss_db: 0.2097 2022/11/02 15:06:43 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:06:49 - mmengine - INFO - Epoch(train) [256][5/63] lr: 1.7443e-03 eta: 10:33:26 time: 0.9259 data_time: 0.2074 memory: 16395 loss: 2.0166 loss_prob: 1.1843 loss_thr: 0.6374 loss_db: 0.1949 2022/11/02 15:06:52 - mmengine - INFO - Epoch(train) [256][10/63] lr: 1.7443e-03 eta: 10:33:21 time: 0.9184 data_time: 0.2070 memory: 16395 loss: 2.0579 loss_prob: 1.2238 loss_thr: 0.6368 loss_db: 0.1972 2022/11/02 15:06:56 - mmengine - INFO - Epoch(train) [256][15/63] lr: 1.7443e-03 eta: 10:33:21 time: 0.6747 data_time: 0.0095 memory: 16395 loss: 2.1376 loss_prob: 1.2876 loss_thr: 0.6446 loss_db: 0.2054 2022/11/02 15:06:58 - mmengine - INFO - Epoch(train) [256][20/63] lr: 1.7443e-03 eta: 10:33:16 time: 0.6592 data_time: 0.0094 memory: 16395 loss: 1.9921 loss_prob: 1.1918 loss_thr: 0.6062 loss_db: 0.1941 2022/11/02 15:07:03 - mmengine - INFO - Epoch(train) [256][25/63] lr: 1.7443e-03 eta: 10:33:16 time: 0.6958 data_time: 0.0113 memory: 16395 loss: 2.0059 loss_prob: 1.2105 loss_thr: 0.5988 loss_db: 0.1966 2022/11/02 15:07:06 - mmengine - INFO - Epoch(train) [256][30/63] lr: 1.7443e-03 eta: 10:33:14 time: 0.7716 data_time: 0.0391 memory: 16395 loss: 2.1382 loss_prob: 1.3001 loss_thr: 0.6317 loss_db: 0.2064 2022/11/02 15:07:09 - mmengine - INFO - Epoch(train) [256][35/63] lr: 1.7443e-03 eta: 10:33:14 time: 0.6667 data_time: 0.0391 memory: 16395 loss: 2.0489 loss_prob: 1.2315 loss_thr: 0.6184 loss_db: 0.1990 2022/11/02 15:07:12 - mmengine - INFO - Epoch(train) [256][40/63] lr: 1.7443e-03 eta: 10:33:08 time: 0.6369 data_time: 0.0106 memory: 16395 loss: 2.0006 loss_prob: 1.1915 loss_thr: 0.6147 loss_db: 0.1945 2022/11/02 15:07:16 - mmengine - INFO - Epoch(train) [256][45/63] lr: 1.7443e-03 eta: 10:33:08 time: 0.7062 data_time: 0.0096 memory: 16395 loss: 2.1097 loss_prob: 1.2558 loss_thr: 0.6525 loss_db: 0.2015 2022/11/02 15:07:20 - mmengine - INFO - Epoch(train) [256][50/63] lr: 1.7443e-03 eta: 10:33:05 time: 0.7475 data_time: 0.0207 memory: 16395 loss: 2.0772 loss_prob: 1.2320 loss_thr: 0.6458 loss_db: 0.1994 2022/11/02 15:07:23 - mmengine - INFO - Epoch(train) [256][55/63] lr: 1.7443e-03 eta: 10:33:05 time: 0.6965 data_time: 0.0299 memory: 16395 loss: 1.9921 loss_prob: 1.1736 loss_thr: 0.6264 loss_db: 0.1921 2022/11/02 15:07:26 - mmengine - INFO - Epoch(train) [256][60/63] lr: 1.7443e-03 eta: 10:32:58 time: 0.6135 data_time: 0.0209 memory: 16395 loss: 2.1371 loss_prob: 1.2742 loss_thr: 0.6524 loss_db: 0.2105 2022/11/02 15:07:27 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:07:34 - mmengine - INFO - Epoch(train) [257][5/63] lr: 1.7426e-03 eta: 10:32:58 time: 0.8778 data_time: 0.2491 memory: 16395 loss: 2.2795 loss_prob: 1.3862 loss_thr: 0.6718 loss_db: 0.2214 2022/11/02 15:07:37 - mmengine - INFO - Epoch(train) [257][10/63] lr: 1.7426e-03 eta: 10:32:54 time: 0.9565 data_time: 0.2488 memory: 16395 loss: 2.1769 loss_prob: 1.2953 loss_thr: 0.6733 loss_db: 0.2083 2022/11/02 15:07:40 - mmengine - INFO - Epoch(train) [257][15/63] lr: 1.7426e-03 eta: 10:32:54 time: 0.6347 data_time: 0.0135 memory: 16395 loss: 2.1822 loss_prob: 1.3241 loss_thr: 0.6483 loss_db: 0.2098 2022/11/02 15:07:43 - mmengine - INFO - Epoch(train) [257][20/63] lr: 1.7426e-03 eta: 10:32:48 time: 0.6342 data_time: 0.0191 memory: 16395 loss: 2.2777 loss_prob: 1.4074 loss_thr: 0.6473 loss_db: 0.2229 2022/11/02 15:07:47 - mmengine - INFO - Epoch(train) [257][25/63] lr: 1.7426e-03 eta: 10:32:48 time: 0.6667 data_time: 0.0355 memory: 16395 loss: 2.3314 loss_prob: 1.4241 loss_thr: 0.6742 loss_db: 0.2331 2022/11/02 15:07:50 - mmengine - INFO - Epoch(train) [257][30/63] lr: 1.7426e-03 eta: 10:32:41 time: 0.6120 data_time: 0.0331 memory: 16395 loss: 2.5289 loss_prob: 1.5833 loss_thr: 0.6925 loss_db: 0.2531 2022/11/02 15:07:52 - mmengine - INFO - Epoch(train) [257][35/63] lr: 1.7426e-03 eta: 10:32:41 time: 0.5447 data_time: 0.0155 memory: 16395 loss: 2.5741 loss_prob: 1.6165 loss_thr: 0.7028 loss_db: 0.2547 2022/11/02 15:07:56 - mmengine - INFO - Epoch(train) [257][40/63] lr: 1.7426e-03 eta: 10:32:35 time: 0.6512 data_time: 0.0144 memory: 16395 loss: 2.4345 loss_prob: 1.4880 loss_thr: 0.7067 loss_db: 0.2397 2022/11/02 15:07:59 - mmengine - INFO - Epoch(train) [257][45/63] lr: 1.7426e-03 eta: 10:32:35 time: 0.6378 data_time: 0.0150 memory: 16395 loss: 2.2280 loss_prob: 1.3519 loss_thr: 0.6600 loss_db: 0.2162 2022/11/02 15:08:02 - mmengine - INFO - Epoch(train) [257][50/63] lr: 1.7426e-03 eta: 10:32:25 time: 0.5474 data_time: 0.0249 memory: 16395 loss: 2.3432 loss_prob: 1.4524 loss_thr: 0.6528 loss_db: 0.2380 2022/11/02 15:08:04 - mmengine - INFO - Epoch(train) [257][55/63] lr: 1.7426e-03 eta: 10:32:25 time: 0.5566 data_time: 0.0238 memory: 16395 loss: 2.3207 loss_prob: 1.4352 loss_thr: 0.6452 loss_db: 0.2403 2022/11/02 15:08:07 - mmengine - INFO - Epoch(train) [257][60/63] lr: 1.7426e-03 eta: 10:32:15 time: 0.5335 data_time: 0.0119 memory: 16395 loss: 2.1545 loss_prob: 1.3054 loss_thr: 0.6342 loss_db: 0.2149 2022/11/02 15:08:08 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:08:13 - mmengine - INFO - Epoch(train) [258][5/63] lr: 1.7409e-03 eta: 10:32:15 time: 0.7582 data_time: 0.2538 memory: 16395 loss: 1.9603 loss_prob: 1.1723 loss_thr: 0.6029 loss_db: 0.1852 2022/11/02 15:08:16 - mmengine - INFO - Epoch(train) [258][10/63] lr: 1.7409e-03 eta: 10:32:06 time: 0.8178 data_time: 0.2526 memory: 16395 loss: 2.0366 loss_prob: 1.2179 loss_thr: 0.6201 loss_db: 0.1987 2022/11/02 15:08:20 - mmengine - INFO - Epoch(train) [258][15/63] lr: 1.7409e-03 eta: 10:32:06 time: 0.6136 data_time: 0.0115 memory: 16395 loss: 2.3364 loss_prob: 1.4372 loss_thr: 0.6747 loss_db: 0.2244 2022/11/02 15:08:23 - mmengine - INFO - Epoch(train) [258][20/63] lr: 1.7409e-03 eta: 10:32:00 time: 0.6457 data_time: 0.0126 memory: 16395 loss: 2.2373 loss_prob: 1.3511 loss_thr: 0.6782 loss_db: 0.2080 2022/11/02 15:08:26 - mmengine - INFO - Epoch(train) [258][25/63] lr: 1.7409e-03 eta: 10:32:00 time: 0.6507 data_time: 0.0359 memory: 16395 loss: 2.2142 loss_prob: 1.3582 loss_thr: 0.6394 loss_db: 0.2165 2022/11/02 15:08:29 - mmengine - INFO - Epoch(train) [258][30/63] lr: 1.7409e-03 eta: 10:31:52 time: 0.5940 data_time: 0.0396 memory: 16395 loss: 2.4437 loss_prob: 1.5367 loss_thr: 0.6658 loss_db: 0.2412 2022/11/02 15:08:31 - mmengine - INFO - Epoch(train) [258][35/63] lr: 1.7409e-03 eta: 10:31:52 time: 0.5200 data_time: 0.0160 memory: 16395 loss: 2.2689 loss_prob: 1.3706 loss_thr: 0.6808 loss_db: 0.2175 2022/11/02 15:08:34 - mmengine - INFO - Epoch(train) [258][40/63] lr: 1.7409e-03 eta: 10:31:41 time: 0.5201 data_time: 0.0091 memory: 16395 loss: 2.1789 loss_prob: 1.3009 loss_thr: 0.6684 loss_db: 0.2096 2022/11/02 15:08:37 - mmengine - INFO - Epoch(train) [258][45/63] lr: 1.7409e-03 eta: 10:31:41 time: 0.5362 data_time: 0.0138 memory: 16395 loss: 2.4063 loss_prob: 1.4749 loss_thr: 0.6905 loss_db: 0.2410 2022/11/02 15:08:39 - mmengine - INFO - Epoch(train) [258][50/63] lr: 1.7409e-03 eta: 10:31:31 time: 0.5353 data_time: 0.0241 memory: 16395 loss: 2.4937 loss_prob: 1.5428 loss_thr: 0.6984 loss_db: 0.2525 2022/11/02 15:08:42 - mmengine - INFO - Epoch(train) [258][55/63] lr: 1.7409e-03 eta: 10:31:31 time: 0.5421 data_time: 0.0216 memory: 16395 loss: 2.3182 loss_prob: 1.4293 loss_thr: 0.6571 loss_db: 0.2318 2022/11/02 15:08:45 - mmengine - INFO - Epoch(train) [258][60/63] lr: 1.7409e-03 eta: 10:31:22 time: 0.5725 data_time: 0.0197 memory: 16395 loss: 2.1620 loss_prob: 1.3265 loss_thr: 0.6191 loss_db: 0.2164 2022/11/02 15:08:46 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:08:52 - mmengine - INFO - Epoch(train) [259][5/63] lr: 1.7393e-03 eta: 10:31:22 time: 0.7707 data_time: 0.2305 memory: 16395 loss: 2.1316 loss_prob: 1.3134 loss_thr: 0.6059 loss_db: 0.2124 2022/11/02 15:08:55 - mmengine - INFO - Epoch(train) [259][10/63] lr: 1.7393e-03 eta: 10:31:14 time: 0.8314 data_time: 0.2300 memory: 16395 loss: 2.1435 loss_prob: 1.3179 loss_thr: 0.6162 loss_db: 0.2093 2022/11/02 15:08:57 - mmengine - INFO - Epoch(train) [259][15/63] lr: 1.7393e-03 eta: 10:31:14 time: 0.5860 data_time: 0.0061 memory: 16395 loss: 2.2174 loss_prob: 1.3613 loss_thr: 0.6363 loss_db: 0.2199 2022/11/02 15:09:00 - mmengine - INFO - Epoch(train) [259][20/63] lr: 1.7393e-03 eta: 10:31:05 time: 0.5625 data_time: 0.0114 memory: 16395 loss: 2.5406 loss_prob: 1.5980 loss_thr: 0.6813 loss_db: 0.2613 2022/11/02 15:09:03 - mmengine - INFO - Epoch(train) [259][25/63] lr: 1.7393e-03 eta: 10:31:05 time: 0.5757 data_time: 0.0382 memory: 16395 loss: 2.5722 loss_prob: 1.6172 loss_thr: 0.6907 loss_db: 0.2644 2022/11/02 15:09:06 - mmengine - INFO - Epoch(train) [259][30/63] lr: 1.7393e-03 eta: 10:30:56 time: 0.5699 data_time: 0.0317 memory: 16395 loss: 2.3418 loss_prob: 1.4541 loss_thr: 0.6485 loss_db: 0.2392 2022/11/02 15:09:09 - mmengine - INFO - Epoch(train) [259][35/63] lr: 1.7393e-03 eta: 10:30:56 time: 0.5696 data_time: 0.0102 memory: 16395 loss: 2.3084 loss_prob: 1.4257 loss_thr: 0.6572 loss_db: 0.2254 2022/11/02 15:09:12 - mmengine - INFO - Epoch(train) [259][40/63] lr: 1.7393e-03 eta: 10:30:47 time: 0.5820 data_time: 0.0137 memory: 16395 loss: 2.2577 loss_prob: 1.3817 loss_thr: 0.6586 loss_db: 0.2175 2022/11/02 15:09:15 - mmengine - INFO - Epoch(train) [259][45/63] lr: 1.7393e-03 eta: 10:30:47 time: 0.5607 data_time: 0.0088 memory: 16395 loss: 2.0180 loss_prob: 1.1982 loss_thr: 0.6280 loss_db: 0.1917 2022/11/02 15:09:18 - mmengine - INFO - Epoch(train) [259][50/63] lr: 1.7393e-03 eta: 10:30:39 time: 0.5862 data_time: 0.0311 memory: 16395 loss: 2.0515 loss_prob: 1.2123 loss_thr: 0.6475 loss_db: 0.1917 2022/11/02 15:09:20 - mmengine - INFO - Epoch(train) [259][55/63] lr: 1.7393e-03 eta: 10:30:39 time: 0.5778 data_time: 0.0310 memory: 16395 loss: 2.0767 loss_prob: 1.2373 loss_thr: 0.6430 loss_db: 0.1963 2022/11/02 15:09:23 - mmengine - INFO - Epoch(train) [259][60/63] lr: 1.7393e-03 eta: 10:30:30 time: 0.5577 data_time: 0.0090 memory: 16395 loss: 2.0840 loss_prob: 1.2329 loss_thr: 0.6515 loss_db: 0.1995 2022/11/02 15:09:25 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:09:31 - mmengine - INFO - Epoch(train) [260][5/63] lr: 1.7376e-03 eta: 10:30:30 time: 0.8973 data_time: 0.2523 memory: 16395 loss: 2.1791 loss_prob: 1.2953 loss_thr: 0.6743 loss_db: 0.2095 2022/11/02 15:09:34 - mmengine - INFO - Epoch(train) [260][10/63] lr: 1.7376e-03 eta: 10:30:27 time: 0.9706 data_time: 0.2757 memory: 16395 loss: 2.2301 loss_prob: 1.3365 loss_thr: 0.6796 loss_db: 0.2140 2022/11/02 15:09:37 - mmengine - INFO - Epoch(train) [260][15/63] lr: 1.7376e-03 eta: 10:30:27 time: 0.6074 data_time: 0.0330 memory: 16395 loss: 2.1809 loss_prob: 1.3261 loss_thr: 0.6448 loss_db: 0.2100 2022/11/02 15:09:40 - mmengine - INFO - Epoch(train) [260][20/63] lr: 1.7376e-03 eta: 10:30:18 time: 0.5690 data_time: 0.0081 memory: 16395 loss: 2.1982 loss_prob: 1.3379 loss_thr: 0.6484 loss_db: 0.2119 2022/11/02 15:09:43 - mmengine - INFO - Epoch(train) [260][25/63] lr: 1.7376e-03 eta: 10:30:18 time: 0.5636 data_time: 0.0287 memory: 16395 loss: 2.2155 loss_prob: 1.3572 loss_thr: 0.6400 loss_db: 0.2184 2022/11/02 15:09:46 - mmengine - INFO - Epoch(train) [260][30/63] lr: 1.7376e-03 eta: 10:30:10 time: 0.5968 data_time: 0.0309 memory: 16395 loss: 2.1660 loss_prob: 1.3216 loss_thr: 0.6295 loss_db: 0.2148 2022/11/02 15:09:49 - mmengine - INFO - Epoch(train) [260][35/63] lr: 1.7376e-03 eta: 10:30:10 time: 0.5871 data_time: 0.0233 memory: 16395 loss: 2.0825 loss_prob: 1.2678 loss_thr: 0.6131 loss_db: 0.2016 2022/11/02 15:09:52 - mmengine - INFO - Epoch(train) [260][40/63] lr: 1.7376e-03 eta: 10:30:01 time: 0.5587 data_time: 0.0178 memory: 16395 loss: 2.1198 loss_prob: 1.2742 loss_thr: 0.6439 loss_db: 0.2017 2022/11/02 15:09:57 - mmengine - INFO - Epoch(train) [260][45/63] lr: 1.7376e-03 eta: 10:30:01 time: 0.7823 data_time: 0.0071 memory: 16395 loss: 2.2617 loss_prob: 1.3733 loss_thr: 0.6687 loss_db: 0.2197 2022/11/02 15:10:00 - mmengine - INFO - Epoch(train) [260][50/63] lr: 1.7376e-03 eta: 10:30:02 time: 0.8657 data_time: 0.0203 memory: 16395 loss: 2.1960 loss_prob: 1.3555 loss_thr: 0.6257 loss_db: 0.2148 2022/11/02 15:10:03 - mmengine - INFO - Epoch(train) [260][55/63] lr: 1.7376e-03 eta: 10:30:02 time: 0.6725 data_time: 0.0226 memory: 16395 loss: 2.0664 loss_prob: 1.2475 loss_thr: 0.6248 loss_db: 0.1942 2022/11/02 15:10:06 - mmengine - INFO - Epoch(train) [260][60/63] lr: 1.7376e-03 eta: 10:29:54 time: 0.5727 data_time: 0.0173 memory: 16395 loss: 2.0698 loss_prob: 1.2363 loss_thr: 0.6382 loss_db: 0.1953 2022/11/02 15:10:07 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:10:07 - mmengine - INFO - Saving checkpoint at 260 epochs 2022/11/02 15:10:11 - mmengine - INFO - Epoch(val) [260][5/500] eta: 10:29:54 time: 0.0572 data_time: 0.0060 memory: 16395 2022/11/02 15:10:11 - mmengine - INFO - Epoch(val) [260][10/500] eta: 0:00:26 time: 0.0548 data_time: 0.0054 memory: 1013 2022/11/02 15:10:11 - mmengine - INFO - Epoch(val) [260][15/500] eta: 0:00:26 time: 0.0411 data_time: 0.0022 memory: 1013 2022/11/02 15:10:12 - mmengine - INFO - Epoch(val) [260][20/500] eta: 0:00:21 time: 0.0447 data_time: 0.0026 memory: 1013 2022/11/02 15:10:12 - mmengine - INFO - Epoch(val) [260][25/500] eta: 0:00:21 time: 0.0459 data_time: 0.0027 memory: 1013 2022/11/02 15:10:12 - mmengine - INFO - Epoch(val) [260][30/500] eta: 0:00:24 time: 0.0516 data_time: 0.0027 memory: 1013 2022/11/02 15:10:12 - mmengine - INFO - Epoch(val) [260][35/500] eta: 0:00:24 time: 0.0530 data_time: 0.0025 memory: 1013 2022/11/02 15:10:13 - mmengine - INFO - Epoch(val) [260][40/500] eta: 0:00:23 time: 0.0519 data_time: 0.0025 memory: 1013 2022/11/02 15:10:13 - mmengine - INFO - Epoch(val) [260][45/500] eta: 0:00:23 time: 0.0520 data_time: 0.0027 memory: 1013 2022/11/02 15:10:13 - mmengine - INFO - Epoch(val) [260][50/500] eta: 0:00:31 time: 0.0701 data_time: 0.0273 memory: 1013 2022/11/02 15:10:14 - mmengine - INFO - Epoch(val) [260][55/500] eta: 0:00:31 time: 0.0697 data_time: 0.0267 memory: 1013 2022/11/02 15:10:14 - mmengine - INFO - Epoch(val) [260][60/500] eta: 0:00:19 time: 0.0439 data_time: 0.0020 memory: 1013 2022/11/02 15:10:14 - mmengine - INFO - Epoch(val) [260][65/500] eta: 0:00:19 time: 0.0449 data_time: 0.0027 memory: 1013 2022/11/02 15:10:14 - mmengine - INFO - Epoch(val) [260][70/500] eta: 0:00:21 time: 0.0500 data_time: 0.0029 memory: 1013 2022/11/02 15:10:15 - mmengine - INFO - Epoch(val) [260][75/500] eta: 0:00:21 time: 0.0470 data_time: 0.0028 memory: 1013 2022/11/02 15:10:15 - mmengine - INFO - Epoch(val) [260][80/500] eta: 0:00:17 time: 0.0406 data_time: 0.0026 memory: 1013 2022/11/02 15:10:15 - mmengine - INFO - Epoch(val) [260][85/500] eta: 0:00:17 time: 0.0395 data_time: 0.0026 memory: 1013 2022/11/02 15:10:15 - mmengine - INFO - Epoch(val) [260][90/500] eta: 0:00:17 time: 0.0429 data_time: 0.0027 memory: 1013 2022/11/02 15:10:15 - mmengine - INFO - Epoch(val) [260][95/500] eta: 0:00:17 time: 0.0437 data_time: 0.0025 memory: 1013 2022/11/02 15:10:16 - mmengine - INFO - Epoch(val) [260][100/500] eta: 0:00:15 time: 0.0398 data_time: 0.0023 memory: 1013 2022/11/02 15:10:16 - mmengine - INFO - Epoch(val) [260][105/500] eta: 0:00:15 time: 0.0421 data_time: 0.0024 memory: 1013 2022/11/02 15:10:16 - mmengine - INFO - Epoch(val) [260][110/500] eta: 0:00:17 time: 0.0440 data_time: 0.0026 memory: 1013 2022/11/02 15:10:16 - mmengine - INFO - Epoch(val) [260][115/500] eta: 0:00:17 time: 0.0463 data_time: 0.0030 memory: 1013 2022/11/02 15:10:17 - mmengine - INFO - Epoch(val) [260][120/500] eta: 0:00:18 time: 0.0483 data_time: 0.0031 memory: 1013 2022/11/02 15:10:17 - mmengine - INFO - Epoch(val) [260][125/500] eta: 0:00:18 time: 0.0440 data_time: 0.0028 memory: 1013 2022/11/02 15:10:17 - mmengine - INFO - Epoch(val) [260][130/500] eta: 0:00:16 time: 0.0434 data_time: 0.0027 memory: 1013 2022/11/02 15:10:17 - mmengine - INFO - Epoch(val) [260][135/500] eta: 0:00:16 time: 0.0440 data_time: 0.0027 memory: 1013 2022/11/02 15:10:17 - mmengine - INFO - Epoch(val) [260][140/500] eta: 0:00:15 time: 0.0440 data_time: 0.0026 memory: 1013 2022/11/02 15:10:18 - mmengine - INFO - Epoch(val) [260][145/500] eta: 0:00:15 time: 0.0462 data_time: 0.0027 memory: 1013 2022/11/02 15:10:18 - mmengine - INFO - Epoch(val) [260][150/500] eta: 0:00:16 time: 0.0462 data_time: 0.0029 memory: 1013 2022/11/02 15:10:18 - mmengine - INFO - Epoch(val) [260][155/500] eta: 0:00:16 time: 0.0478 data_time: 0.0028 memory: 1013 2022/11/02 15:10:18 - mmengine - INFO - Epoch(val) [260][160/500] eta: 0:00:16 time: 0.0499 data_time: 0.0027 memory: 1013 2022/11/02 15:10:19 - mmengine - INFO - Epoch(val) [260][165/500] eta: 0:00:16 time: 0.0482 data_time: 0.0026 memory: 1013 2022/11/02 15:10:19 - mmengine - INFO - Epoch(val) [260][170/500] eta: 0:00:14 time: 0.0453 data_time: 0.0025 memory: 1013 2022/11/02 15:10:19 - mmengine - INFO - Epoch(val) [260][175/500] eta: 0:00:14 time: 0.0417 data_time: 0.0024 memory: 1013 2022/11/02 15:10:19 - mmengine - INFO - Epoch(val) [260][180/500] eta: 0:00:13 time: 0.0407 data_time: 0.0024 memory: 1013 2022/11/02 15:10:19 - mmengine - INFO - Epoch(val) [260][185/500] eta: 0:00:13 time: 0.0466 data_time: 0.0024 memory: 1013 2022/11/02 15:10:20 - mmengine - INFO - Epoch(val) [260][190/500] eta: 0:00:15 time: 0.0489 data_time: 0.0024 memory: 1013 2022/11/02 15:10:20 - mmengine - INFO - Epoch(val) [260][195/500] eta: 0:00:15 time: 0.0441 data_time: 0.0023 memory: 1013 2022/11/02 15:10:20 - mmengine - INFO - Epoch(val) [260][200/500] eta: 0:00:14 time: 0.0477 data_time: 0.0022 memory: 1013 2022/11/02 15:10:20 - mmengine - INFO - Epoch(val) [260][205/500] eta: 0:00:14 time: 0.0475 data_time: 0.0022 memory: 1013 2022/11/02 15:10:21 - mmengine - INFO - Epoch(val) [260][210/500] eta: 0:00:11 time: 0.0406 data_time: 0.0023 memory: 1013 2022/11/02 15:10:21 - mmengine - INFO - Epoch(val) [260][215/500] eta: 0:00:11 time: 0.0435 data_time: 0.0022 memory: 1013 2022/11/02 15:10:21 - mmengine - INFO - Epoch(val) [260][220/500] eta: 0:00:12 time: 0.0446 data_time: 0.0025 memory: 1013 2022/11/02 15:10:21 - mmengine - INFO - Epoch(val) [260][225/500] eta: 0:00:12 time: 0.0458 data_time: 0.0024 memory: 1013 2022/11/02 15:10:21 - mmengine - INFO - Epoch(val) [260][230/500] eta: 0:00:11 time: 0.0438 data_time: 0.0022 memory: 1013 2022/11/02 15:10:22 - mmengine - INFO - Epoch(val) [260][235/500] eta: 0:00:11 time: 0.0414 data_time: 0.0022 memory: 1013 2022/11/02 15:10:22 - mmengine - INFO - Epoch(val) [260][240/500] eta: 0:00:12 time: 0.0470 data_time: 0.0024 memory: 1013 2022/11/02 15:10:22 - mmengine - INFO - Epoch(val) [260][245/500] eta: 0:00:12 time: 0.0495 data_time: 0.0031 memory: 1013 2022/11/02 15:10:22 - mmengine - INFO - Epoch(val) [260][250/500] eta: 0:00:12 time: 0.0496 data_time: 0.0031 memory: 1013 2022/11/02 15:10:23 - mmengine - INFO - Epoch(val) [260][255/500] eta: 0:00:12 time: 0.0445 data_time: 0.0025 memory: 1013 2022/11/02 15:10:23 - mmengine - INFO - Epoch(val) [260][260/500] eta: 0:00:10 time: 0.0429 data_time: 0.0026 memory: 1013 2022/11/02 15:10:23 - mmengine - INFO - Epoch(val) [260][265/500] eta: 0:00:10 time: 0.0459 data_time: 0.0049 memory: 1013 2022/11/02 15:10:23 - mmengine - INFO - Epoch(val) [260][270/500] eta: 0:00:10 time: 0.0468 data_time: 0.0048 memory: 1013 2022/11/02 15:10:24 - mmengine - INFO - Epoch(val) [260][275/500] eta: 0:00:10 time: 0.0442 data_time: 0.0025 memory: 1013 2022/11/02 15:10:24 - mmengine - INFO - Epoch(val) [260][280/500] eta: 0:00:10 time: 0.0463 data_time: 0.0026 memory: 1013 2022/11/02 15:10:24 - mmengine - INFO - Epoch(val) [260][285/500] eta: 0:00:10 time: 0.0495 data_time: 0.0031 memory: 1013 2022/11/02 15:10:24 - mmengine - INFO - Epoch(val) [260][290/500] eta: 0:00:10 time: 0.0486 data_time: 0.0032 memory: 1013 2022/11/02 15:10:25 - mmengine - INFO - Epoch(val) [260][295/500] eta: 0:00:10 time: 0.0474 data_time: 0.0028 memory: 1013 2022/11/02 15:10:25 - mmengine - INFO - Epoch(val) [260][300/500] eta: 0:00:09 time: 0.0461 data_time: 0.0028 memory: 1013 2022/11/02 15:10:25 - mmengine - INFO - Epoch(val) [260][305/500] eta: 0:00:09 time: 0.0450 data_time: 0.0029 memory: 1013 2022/11/02 15:10:25 - mmengine - INFO - Epoch(val) [260][310/500] eta: 0:00:08 time: 0.0469 data_time: 0.0031 memory: 1013 2022/11/02 15:10:26 - mmengine - INFO - Epoch(val) [260][315/500] eta: 0:00:08 time: 0.0523 data_time: 0.0032 memory: 1013 2022/11/02 15:10:26 - mmengine - INFO - Epoch(val) [260][320/500] eta: 0:00:09 time: 0.0504 data_time: 0.0034 memory: 1013 2022/11/02 15:10:26 - mmengine - INFO - Epoch(val) [260][325/500] eta: 0:00:09 time: 0.0587 data_time: 0.0031 memory: 1013 2022/11/02 15:10:26 - mmengine - INFO - Epoch(val) [260][330/500] eta: 0:00:09 time: 0.0583 data_time: 0.0029 memory: 1013 2022/11/02 15:10:27 - mmengine - INFO - Epoch(val) [260][335/500] eta: 0:00:09 time: 0.0437 data_time: 0.0029 memory: 1013 2022/11/02 15:10:27 - mmengine - INFO - Epoch(val) [260][340/500] eta: 0:00:09 time: 0.0576 data_time: 0.0025 memory: 1013 2022/11/02 15:10:27 - mmengine - INFO - Epoch(val) [260][345/500] eta: 0:00:09 time: 0.0587 data_time: 0.0025 memory: 1013 2022/11/02 15:10:27 - mmengine - INFO - Epoch(val) [260][350/500] eta: 0:00:06 time: 0.0458 data_time: 0.0025 memory: 1013 2022/11/02 15:10:28 - mmengine - INFO - Epoch(val) [260][355/500] eta: 0:00:06 time: 0.0439 data_time: 0.0025 memory: 1013 2022/11/02 15:10:28 - mmengine - INFO - Epoch(val) [260][360/500] eta: 0:00:05 time: 0.0410 data_time: 0.0024 memory: 1013 2022/11/02 15:10:28 - mmengine - INFO - Epoch(val) [260][365/500] eta: 0:00:05 time: 0.0450 data_time: 0.0025 memory: 1013 2022/11/02 15:10:28 - mmengine - INFO - Epoch(val) [260][370/500] eta: 0:00:05 time: 0.0430 data_time: 0.0026 memory: 1013 2022/11/02 15:10:28 - mmengine - INFO - Epoch(val) [260][375/500] eta: 0:00:05 time: 0.0401 data_time: 0.0025 memory: 1013 2022/11/02 15:10:29 - mmengine - INFO - Epoch(val) [260][380/500] eta: 0:00:05 time: 0.0431 data_time: 0.0024 memory: 1013 2022/11/02 15:10:29 - mmengine - INFO - Epoch(val) [260][385/500] eta: 0:00:05 time: 0.0441 data_time: 0.0024 memory: 1013 2022/11/02 15:10:29 - mmengine - INFO - Epoch(val) [260][390/500] eta: 0:00:04 time: 0.0447 data_time: 0.0024 memory: 1013 2022/11/02 15:10:29 - mmengine - INFO - Epoch(val) [260][395/500] eta: 0:00:04 time: 0.0441 data_time: 0.0028 memory: 1013 2022/11/02 15:10:30 - mmengine - INFO - Epoch(val) [260][400/500] eta: 0:00:04 time: 0.0439 data_time: 0.0029 memory: 1013 2022/11/02 15:10:30 - mmengine - INFO - Epoch(val) [260][405/500] eta: 0:00:04 time: 0.0431 data_time: 0.0027 memory: 1013 2022/11/02 15:10:30 - mmengine - INFO - Epoch(val) [260][410/500] eta: 0:00:04 time: 0.0448 data_time: 0.0026 memory: 1013 2022/11/02 15:10:30 - mmengine - INFO - Epoch(val) [260][415/500] eta: 0:00:04 time: 0.0448 data_time: 0.0027 memory: 1013 2022/11/02 15:10:30 - mmengine - INFO - Epoch(val) [260][420/500] eta: 0:00:03 time: 0.0390 data_time: 0.0024 memory: 1013 2022/11/02 15:10:31 - mmengine - INFO - Epoch(val) [260][425/500] eta: 0:00:03 time: 0.0435 data_time: 0.0025 memory: 1013 2022/11/02 15:10:31 - mmengine - INFO - Epoch(val) [260][430/500] eta: 0:00:03 time: 0.0483 data_time: 0.0034 memory: 1013 2022/11/02 15:10:31 - mmengine - INFO - Epoch(val) [260][435/500] eta: 0:00:03 time: 0.0461 data_time: 0.0037 memory: 1013 2022/11/02 15:10:31 - mmengine - INFO - Epoch(val) [260][440/500] eta: 0:00:02 time: 0.0442 data_time: 0.0031 memory: 1013 2022/11/02 15:10:32 - mmengine - INFO - Epoch(val) [260][445/500] eta: 0:00:02 time: 0.0465 data_time: 0.0028 memory: 1013 2022/11/02 15:10:32 - mmengine - INFO - Epoch(val) [260][450/500] eta: 0:00:02 time: 0.0502 data_time: 0.0032 memory: 1013 2022/11/02 15:10:32 - mmengine - INFO - Epoch(val) [260][455/500] eta: 0:00:02 time: 0.0476 data_time: 0.0030 memory: 1013 2022/11/02 15:10:32 - mmengine - INFO - Epoch(val) [260][460/500] eta: 0:00:01 time: 0.0433 data_time: 0.0028 memory: 1013 2022/11/02 15:10:32 - mmengine - INFO - Epoch(val) [260][465/500] eta: 0:00:01 time: 0.0427 data_time: 0.0029 memory: 1013 2022/11/02 15:10:33 - mmengine - INFO - Epoch(val) [260][470/500] eta: 0:00:01 time: 0.0442 data_time: 0.0029 memory: 1013 2022/11/02 15:10:33 - mmengine - INFO - Epoch(val) [260][475/500] eta: 0:00:01 time: 0.0430 data_time: 0.0028 memory: 1013 2022/11/02 15:10:33 - mmengine - INFO - Epoch(val) [260][480/500] eta: 0:00:00 time: 0.0454 data_time: 0.0027 memory: 1013 2022/11/02 15:10:33 - mmengine - INFO - Epoch(val) [260][485/500] eta: 0:00:00 time: 0.0499 data_time: 0.0027 memory: 1013 2022/11/02 15:10:34 - mmengine - INFO - Epoch(val) [260][490/500] eta: 0:00:00 time: 0.0540 data_time: 0.0028 memory: 1013 2022/11/02 15:10:34 - mmengine - INFO - Epoch(val) [260][495/500] eta: 0:00:00 time: 0.0558 data_time: 0.0027 memory: 1013 2022/11/02 15:10:34 - mmengine - INFO - Epoch(val) [260][500/500] eta: 0:00:00 time: 0.0500 data_time: 0.0024 memory: 1013 2022/11/02 15:10:34 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 15:10:34 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8238, precision: 0.6328, hmean: 0.7157 2022/11/02 15:10:34 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8238, precision: 0.7394, hmean: 0.7793 2022/11/02 15:10:34 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8156, precision: 0.8109, hmean: 0.8133 2022/11/02 15:10:34 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7925, precision: 0.8650, hmean: 0.8271 2022/11/02 15:10:34 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7082, precision: 0.9177, hmean: 0.7995 2022/11/02 15:10:34 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3000, precision: 0.9659, hmean: 0.4578 2022/11/02 15:10:34 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/11/02 15:10:34 - mmengine - INFO - Epoch(val) [260][500/500] icdar/precision: 0.8650 icdar/recall: 0.7925 icdar/hmean: 0.8271 2022/11/02 15:10:40 - mmengine - INFO - Epoch(train) [261][5/63] lr: 1.7359e-03 eta: 0:00:00 time: 0.8471 data_time: 0.2097 memory: 16395 loss: 2.3052 loss_prob: 1.4121 loss_thr: 0.6538 loss_db: 0.2393 2022/11/02 15:10:43 - mmengine - INFO - Epoch(train) [261][10/63] lr: 1.7359e-03 eta: 10:29:48 time: 0.9121 data_time: 0.2186 memory: 16395 loss: 2.3886 loss_prob: 1.4652 loss_thr: 0.6768 loss_db: 0.2466 2022/11/02 15:10:47 - mmengine - INFO - Epoch(train) [261][15/63] lr: 1.7359e-03 eta: 10:29:48 time: 0.6219 data_time: 0.0143 memory: 16395 loss: 2.2130 loss_prob: 1.3432 loss_thr: 0.6530 loss_db: 0.2167 2022/11/02 15:10:51 - mmengine - INFO - Epoch(train) [261][20/63] lr: 1.7359e-03 eta: 10:29:46 time: 0.7597 data_time: 0.0101 memory: 16395 loss: 2.0488 loss_prob: 1.2265 loss_thr: 0.6239 loss_db: 0.1984 2022/11/02 15:10:54 - mmengine - INFO - Epoch(train) [261][25/63] lr: 1.7359e-03 eta: 10:29:46 time: 0.7747 data_time: 0.0371 memory: 16395 loss: 2.1404 loss_prob: 1.2975 loss_thr: 0.6345 loss_db: 0.2085 2022/11/02 15:10:58 - mmengine - INFO - Epoch(train) [261][30/63] lr: 1.7359e-03 eta: 10:29:41 time: 0.6694 data_time: 0.0477 memory: 16395 loss: 2.1357 loss_prob: 1.3011 loss_thr: 0.6271 loss_db: 0.2075 2022/11/02 15:11:01 - mmengine - INFO - Epoch(train) [261][35/63] lr: 1.7359e-03 eta: 10:29:41 time: 0.6192 data_time: 0.0291 memory: 16395 loss: 2.0298 loss_prob: 1.2180 loss_thr: 0.6195 loss_db: 0.1923 2022/11/02 15:11:03 - mmengine - INFO - Epoch(train) [261][40/63] lr: 1.7359e-03 eta: 10:29:32 time: 0.5694 data_time: 0.0164 memory: 16395 loss: 2.3366 loss_prob: 1.4459 loss_thr: 0.6615 loss_db: 0.2292 2022/11/02 15:11:07 - mmengine - INFO - Epoch(train) [261][45/63] lr: 1.7359e-03 eta: 10:29:32 time: 0.5988 data_time: 0.0113 memory: 16395 loss: 2.2050 loss_prob: 1.3599 loss_thr: 0.6288 loss_db: 0.2162 2022/11/02 15:11:10 - mmengine - INFO - Epoch(train) [261][50/63] lr: 1.7359e-03 eta: 10:29:27 time: 0.6786 data_time: 0.0229 memory: 16395 loss: 2.0011 loss_prob: 1.1971 loss_thr: 0.6160 loss_db: 0.1879 2022/11/02 15:11:15 - mmengine - INFO - Epoch(train) [261][55/63] lr: 1.7359e-03 eta: 10:29:27 time: 0.8304 data_time: 0.0275 memory: 16395 loss: 2.0574 loss_prob: 1.2215 loss_thr: 0.6412 loss_db: 0.1947 2022/11/02 15:11:18 - mmengine - INFO - Epoch(train) [261][60/63] lr: 1.7359e-03 eta: 10:29:26 time: 0.7857 data_time: 0.0157 memory: 16395 loss: 1.9613 loss_prob: 1.1528 loss_thr: 0.6234 loss_db: 0.1852 2022/11/02 15:11:19 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:11:27 - mmengine - INFO - Epoch(train) [262][5/63] lr: 1.7343e-03 eta: 10:29:26 time: 0.9706 data_time: 0.3036 memory: 16395 loss: 2.2215 loss_prob: 1.3860 loss_thr: 0.6128 loss_db: 0.2227 2022/11/02 15:11:29 - mmengine - INFO - Epoch(train) [262][10/63] lr: 1.7343e-03 eta: 10:29:24 time: 1.0032 data_time: 0.3033 memory: 16395 loss: 2.3239 loss_prob: 1.4559 loss_thr: 0.6290 loss_db: 0.2390 2022/11/02 15:11:32 - mmengine - INFO - Epoch(train) [262][15/63] lr: 1.7343e-03 eta: 10:29:24 time: 0.5746 data_time: 0.0083 memory: 16395 loss: 2.2118 loss_prob: 1.3385 loss_thr: 0.6534 loss_db: 0.2200 2022/11/02 15:11:35 - mmengine - INFO - Epoch(train) [262][20/63] lr: 1.7343e-03 eta: 10:29:15 time: 0.5471 data_time: 0.0081 memory: 16395 loss: 2.3293 loss_prob: 1.4206 loss_thr: 0.6775 loss_db: 0.2312 2022/11/02 15:11:37 - mmengine - INFO - Epoch(train) [262][25/63] lr: 1.7343e-03 eta: 10:29:15 time: 0.5111 data_time: 0.0050 memory: 16395 loss: 2.1437 loss_prob: 1.2893 loss_thr: 0.6462 loss_db: 0.2082 2022/11/02 15:11:40 - mmengine - INFO - Epoch(train) [262][30/63] lr: 1.7343e-03 eta: 10:29:06 time: 0.5680 data_time: 0.0358 memory: 16395 loss: 2.1464 loss_prob: 1.2869 loss_thr: 0.6480 loss_db: 0.2115 2022/11/02 15:11:43 - mmengine - INFO - Epoch(train) [262][35/63] lr: 1.7343e-03 eta: 10:29:06 time: 0.5810 data_time: 0.0383 memory: 16395 loss: 2.1817 loss_prob: 1.3299 loss_thr: 0.6360 loss_db: 0.2158 2022/11/02 15:11:46 - mmengine - INFO - Epoch(train) [262][40/63] lr: 1.7343e-03 eta: 10:28:58 time: 0.5994 data_time: 0.0152 memory: 16395 loss: 2.0288 loss_prob: 1.2183 loss_thr: 0.6161 loss_db: 0.1944 2022/11/02 15:11:49 - mmengine - INFO - Epoch(train) [262][45/63] lr: 1.7343e-03 eta: 10:28:58 time: 0.5905 data_time: 0.0136 memory: 16395 loss: 2.0323 loss_prob: 1.2273 loss_thr: 0.6094 loss_db: 0.1955 2022/11/02 15:11:52 - mmengine - INFO - Epoch(train) [262][50/63] lr: 1.7343e-03 eta: 10:28:49 time: 0.5820 data_time: 0.0319 memory: 16395 loss: 1.9994 loss_prob: 1.1906 loss_thr: 0.6213 loss_db: 0.1875 2022/11/02 15:11:56 - mmengine - INFO - Epoch(train) [262][55/63] lr: 1.7343e-03 eta: 10:28:49 time: 0.6956 data_time: 0.0343 memory: 16395 loss: 1.9411 loss_prob: 1.1243 loss_thr: 0.6365 loss_db: 0.1803 2022/11/02 15:12:00 - mmengine - INFO - Epoch(train) [262][60/63] lr: 1.7343e-03 eta: 10:28:46 time: 0.7341 data_time: 0.0150 memory: 16395 loss: 2.0104 loss_prob: 1.1929 loss_thr: 0.6204 loss_db: 0.1970 2022/11/02 15:12:01 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:12:07 - mmengine - INFO - Epoch(train) [263][5/63] lr: 1.7326e-03 eta: 10:28:46 time: 0.8561 data_time: 0.2509 memory: 16395 loss: 2.0332 loss_prob: 1.2068 loss_thr: 0.6331 loss_db: 0.1933 2022/11/02 15:12:10 - mmengine - INFO - Epoch(train) [263][10/63] lr: 1.7326e-03 eta: 10:28:40 time: 0.8716 data_time: 0.2482 memory: 16395 loss: 1.9811 loss_prob: 1.1925 loss_thr: 0.5997 loss_db: 0.1889 2022/11/02 15:12:13 - mmengine - INFO - Epoch(train) [263][15/63] lr: 1.7326e-03 eta: 10:28:40 time: 0.5754 data_time: 0.0098 memory: 16395 loss: 1.9874 loss_prob: 1.1913 loss_thr: 0.6067 loss_db: 0.1894 2022/11/02 15:12:15 - mmengine - INFO - Epoch(train) [263][20/63] lr: 1.7326e-03 eta: 10:28:30 time: 0.5451 data_time: 0.0096 memory: 16395 loss: 2.1130 loss_prob: 1.2679 loss_thr: 0.6427 loss_db: 0.2024 2022/11/02 15:12:18 - mmengine - INFO - Epoch(train) [263][25/63] lr: 1.7326e-03 eta: 10:28:30 time: 0.5852 data_time: 0.0520 memory: 16395 loss: 2.2679 loss_prob: 1.3690 loss_thr: 0.6788 loss_db: 0.2201 2022/11/02 15:12:21 - mmengine - INFO - Epoch(train) [263][30/63] lr: 1.7326e-03 eta: 10:28:23 time: 0.6208 data_time: 0.0531 memory: 16395 loss: 2.2211 loss_prob: 1.3320 loss_thr: 0.6721 loss_db: 0.2170 2022/11/02 15:12:24 - mmengine - INFO - Epoch(train) [263][35/63] lr: 1.7326e-03 eta: 10:28:23 time: 0.5877 data_time: 0.0101 memory: 16395 loss: 2.1105 loss_prob: 1.2646 loss_thr: 0.6397 loss_db: 0.2062 2022/11/02 15:12:30 - mmengine - INFO - Epoch(train) [263][40/63] lr: 1.7326e-03 eta: 10:28:26 time: 0.9134 data_time: 0.0102 memory: 16395 loss: 2.1187 loss_prob: 1.2730 loss_thr: 0.6400 loss_db: 0.2057 2022/11/02 15:12:34 - mmengine - INFO - Epoch(train) [263][45/63] lr: 1.7326e-03 eta: 10:28:26 time: 0.9266 data_time: 0.0104 memory: 16395 loss: 2.2068 loss_prob: 1.3459 loss_thr: 0.6408 loss_db: 0.2201 2022/11/02 15:12:37 - mmengine - INFO - Epoch(train) [263][50/63] lr: 1.7326e-03 eta: 10:28:20 time: 0.6522 data_time: 0.0305 memory: 16395 loss: 2.1367 loss_prob: 1.3011 loss_thr: 0.6229 loss_db: 0.2128 2022/11/02 15:12:40 - mmengine - INFO - Epoch(train) [263][55/63] lr: 1.7326e-03 eta: 10:28:20 time: 0.6560 data_time: 0.0319 memory: 16395 loss: 2.1408 loss_prob: 1.2941 loss_thr: 0.6437 loss_db: 0.2030 2022/11/02 15:12:43 - mmengine - INFO - Epoch(train) [263][60/63] lr: 1.7326e-03 eta: 10:28:14 time: 0.6310 data_time: 0.0123 memory: 16395 loss: 2.2056 loss_prob: 1.3254 loss_thr: 0.6680 loss_db: 0.2123 2022/11/02 15:12:45 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:12:51 - mmengine - INFO - Epoch(train) [264][5/63] lr: 1.7309e-03 eta: 10:28:14 time: 0.8687 data_time: 0.2818 memory: 16395 loss: 2.0314 loss_prob: 1.1826 loss_thr: 0.6460 loss_db: 0.2028 2022/11/02 15:12:54 - mmengine - INFO - Epoch(train) [264][10/63] lr: 1.7309e-03 eta: 10:28:08 time: 0.8952 data_time: 0.2821 memory: 16395 loss: 2.1359 loss_prob: 1.2957 loss_thr: 0.6305 loss_db: 0.2098 2022/11/02 15:12:57 - mmengine - INFO - Epoch(train) [264][15/63] lr: 1.7309e-03 eta: 10:28:08 time: 0.6259 data_time: 0.0099 memory: 16395 loss: 2.1259 loss_prob: 1.2911 loss_thr: 0.6310 loss_db: 0.2038 2022/11/02 15:13:00 - mmengine - INFO - Epoch(train) [264][20/63] lr: 1.7309e-03 eta: 10:28:02 time: 0.6444 data_time: 0.0089 memory: 16395 loss: 2.1476 loss_prob: 1.3049 loss_thr: 0.6349 loss_db: 0.2078 2022/11/02 15:13:03 - mmengine - INFO - Epoch(train) [264][25/63] lr: 1.7309e-03 eta: 10:28:02 time: 0.6127 data_time: 0.0441 memory: 16395 loss: 2.4110 loss_prob: 1.5105 loss_thr: 0.6570 loss_db: 0.2436 2022/11/02 15:13:08 - mmengine - INFO - Epoch(train) [264][30/63] lr: 1.7309e-03 eta: 10:28:00 time: 0.7588 data_time: 0.0424 memory: 16395 loss: 2.1981 loss_prob: 1.3439 loss_thr: 0.6374 loss_db: 0.2168 2022/11/02 15:13:12 - mmengine - INFO - Epoch(train) [264][35/63] lr: 1.7309e-03 eta: 10:28:00 time: 0.8242 data_time: 0.0076 memory: 16395 loss: 2.0195 loss_prob: 1.1836 loss_thr: 0.6462 loss_db: 0.1896 2022/11/02 15:13:15 - mmengine - INFO - Epoch(train) [264][40/63] lr: 1.7309e-03 eta: 10:27:56 time: 0.7215 data_time: 0.0072 memory: 16395 loss: 1.9405 loss_prob: 1.1229 loss_thr: 0.6370 loss_db: 0.1806 2022/11/02 15:13:18 - mmengine - INFO - Epoch(train) [264][45/63] lr: 1.7309e-03 eta: 10:27:56 time: 0.6275 data_time: 0.0074 memory: 16395 loss: 1.9730 loss_prob: 1.1488 loss_thr: 0.6397 loss_db: 0.1845 2022/11/02 15:13:21 - mmengine - INFO - Epoch(train) [264][50/63] lr: 1.7309e-03 eta: 10:27:48 time: 0.5828 data_time: 0.0342 memory: 16395 loss: 2.1089 loss_prob: 1.2495 loss_thr: 0.6608 loss_db: 0.1986 2022/11/02 15:13:25 - mmengine - INFO - Epoch(train) [264][55/63] lr: 1.7309e-03 eta: 10:27:48 time: 0.6926 data_time: 0.0370 memory: 16395 loss: 2.1651 loss_prob: 1.3017 loss_thr: 0.6594 loss_db: 0.2040 2022/11/02 15:13:28 - mmengine - INFO - Epoch(train) [264][60/63] lr: 1.7309e-03 eta: 10:27:43 time: 0.6783 data_time: 0.0101 memory: 16395 loss: 2.1323 loss_prob: 1.2803 loss_thr: 0.6499 loss_db: 0.2022 2022/11/02 15:13:29 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:13:35 - mmengine - INFO - Epoch(train) [265][5/63] lr: 1.7293e-03 eta: 10:27:43 time: 0.8252 data_time: 0.2433 memory: 16395 loss: 1.9180 loss_prob: 1.1152 loss_thr: 0.6218 loss_db: 0.1810 2022/11/02 15:13:38 - mmengine - INFO - Epoch(train) [265][10/63] lr: 1.7293e-03 eta: 10:27:35 time: 0.8501 data_time: 0.2456 memory: 16395 loss: 1.9570 loss_prob: 1.1640 loss_thr: 0.6053 loss_db: 0.1878 2022/11/02 15:13:41 - mmengine - INFO - Epoch(train) [265][15/63] lr: 1.7293e-03 eta: 10:27:35 time: 0.5872 data_time: 0.0139 memory: 16395 loss: 1.9883 loss_prob: 1.1836 loss_thr: 0.6142 loss_db: 0.1905 2022/11/02 15:13:44 - mmengine - INFO - Epoch(train) [265][20/63] lr: 1.7293e-03 eta: 10:27:29 time: 0.6507 data_time: 0.0105 memory: 16395 loss: 2.2105 loss_prob: 1.3568 loss_thr: 0.6381 loss_db: 0.2156 2022/11/02 15:13:48 - mmengine - INFO - Epoch(train) [265][25/63] lr: 1.7293e-03 eta: 10:27:29 time: 0.7084 data_time: 0.0171 memory: 16395 loss: 2.2548 loss_prob: 1.3988 loss_thr: 0.6357 loss_db: 0.2203 2022/11/02 15:13:51 - mmengine - INFO - Epoch(train) [265][30/63] lr: 1.7293e-03 eta: 10:27:26 time: 0.7188 data_time: 0.0386 memory: 16395 loss: 1.9433 loss_prob: 1.1592 loss_thr: 0.5988 loss_db: 0.1853 2022/11/02 15:13:54 - mmengine - INFO - Epoch(train) [265][35/63] lr: 1.7293e-03 eta: 10:27:26 time: 0.6262 data_time: 0.0318 memory: 16395 loss: 1.9162 loss_prob: 1.1131 loss_thr: 0.6236 loss_db: 0.1794 2022/11/02 15:13:57 - mmengine - INFO - Epoch(train) [265][40/63] lr: 1.7293e-03 eta: 10:27:16 time: 0.5508 data_time: 0.0087 memory: 16395 loss: 1.9394 loss_prob: 1.1139 loss_thr: 0.6434 loss_db: 0.1821 2022/11/02 15:14:00 - mmengine - INFO - Epoch(train) [265][45/63] lr: 1.7293e-03 eta: 10:27:16 time: 0.6292 data_time: 0.0086 memory: 16395 loss: 1.9893 loss_prob: 1.1749 loss_thr: 0.6171 loss_db: 0.1973 2022/11/02 15:14:04 - mmengine - INFO - Epoch(train) [265][50/63] lr: 1.7293e-03 eta: 10:27:12 time: 0.7021 data_time: 0.0403 memory: 16395 loss: 2.0308 loss_prob: 1.2176 loss_thr: 0.6142 loss_db: 0.1990 2022/11/02 15:14:07 - mmengine - INFO - Epoch(train) [265][55/63] lr: 1.7293e-03 eta: 10:27:12 time: 0.6526 data_time: 0.0420 memory: 16395 loss: 1.9947 loss_prob: 1.1918 loss_thr: 0.6133 loss_db: 0.1897 2022/11/02 15:14:09 - mmengine - INFO - Epoch(train) [265][60/63] lr: 1.7293e-03 eta: 10:27:02 time: 0.5494 data_time: 0.0111 memory: 16395 loss: 1.9536 loss_prob: 1.1644 loss_thr: 0.6024 loss_db: 0.1868 2022/11/02 15:14:11 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:14:17 - mmengine - INFO - Epoch(train) [266][5/63] lr: 1.7276e-03 eta: 10:27:02 time: 0.8196 data_time: 0.2582 memory: 16395 loss: 1.9387 loss_prob: 1.1434 loss_thr: 0.6110 loss_db: 0.1844 2022/11/02 15:14:20 - mmengine - INFO - Epoch(train) [266][10/63] lr: 1.7276e-03 eta: 10:26:55 time: 0.8482 data_time: 0.2602 memory: 16395 loss: 2.0564 loss_prob: 1.2452 loss_thr: 0.6083 loss_db: 0.2029 2022/11/02 15:14:25 - mmengine - INFO - Epoch(train) [266][15/63] lr: 1.7276e-03 eta: 10:26:55 time: 0.8635 data_time: 0.0114 memory: 16395 loss: 2.0527 loss_prob: 1.2400 loss_thr: 0.6139 loss_db: 0.1989 2022/11/02 15:14:28 - mmengine - INFO - Epoch(train) [266][20/63] lr: 1.7276e-03 eta: 10:26:55 time: 0.8315 data_time: 0.0169 memory: 16395 loss: 2.1629 loss_prob: 1.3130 loss_thr: 0.6480 loss_db: 0.2020 2022/11/02 15:14:31 - mmengine - INFO - Epoch(train) [266][25/63] lr: 1.7276e-03 eta: 10:26:55 time: 0.5735 data_time: 0.0165 memory: 16395 loss: 2.3660 loss_prob: 1.4601 loss_thr: 0.6722 loss_db: 0.2336 2022/11/02 15:14:34 - mmengine - INFO - Epoch(train) [266][30/63] lr: 1.7276e-03 eta: 10:26:48 time: 0.6057 data_time: 0.0296 memory: 16395 loss: 2.2132 loss_prob: 1.3359 loss_thr: 0.6564 loss_db: 0.2209 2022/11/02 15:14:37 - mmengine - INFO - Epoch(train) [266][35/63] lr: 1.7276e-03 eta: 10:26:48 time: 0.6221 data_time: 0.0322 memory: 16395 loss: 2.2263 loss_prob: 1.3576 loss_thr: 0.6500 loss_db: 0.2186 2022/11/02 15:14:40 - mmengine - INFO - Epoch(train) [266][40/63] lr: 1.7276e-03 eta: 10:26:40 time: 0.6165 data_time: 0.0158 memory: 16395 loss: 2.2847 loss_prob: 1.3962 loss_thr: 0.6672 loss_db: 0.2213 2022/11/02 15:14:44 - mmengine - INFO - Epoch(train) [266][45/63] lr: 1.7276e-03 eta: 10:26:40 time: 0.6518 data_time: 0.0176 memory: 16395 loss: 2.1052 loss_prob: 1.2572 loss_thr: 0.6475 loss_db: 0.2005 2022/11/02 15:14:47 - mmengine - INFO - Epoch(train) [266][50/63] lr: 1.7276e-03 eta: 10:26:34 time: 0.6450 data_time: 0.0276 memory: 16395 loss: 1.9545 loss_prob: 1.1700 loss_thr: 0.6014 loss_db: 0.1831 2022/11/02 15:14:49 - mmengine - INFO - Epoch(train) [266][55/63] lr: 1.7276e-03 eta: 10:26:34 time: 0.5574 data_time: 0.0262 memory: 16395 loss: 2.0599 loss_prob: 1.2445 loss_thr: 0.6179 loss_db: 0.1975 2022/11/02 15:14:52 - mmengine - INFO - Epoch(train) [266][60/63] lr: 1.7276e-03 eta: 10:26:25 time: 0.5492 data_time: 0.0121 memory: 16395 loss: 2.0695 loss_prob: 1.2449 loss_thr: 0.6209 loss_db: 0.2037 2022/11/02 15:14:54 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:15:02 - mmengine - INFO - Epoch(train) [267][5/63] lr: 1.7260e-03 eta: 10:26:25 time: 1.1161 data_time: 0.2795 memory: 16395 loss: 1.9894 loss_prob: 1.1865 loss_thr: 0.6124 loss_db: 0.1905 2022/11/02 15:15:06 - mmengine - INFO - Epoch(train) [267][10/63] lr: 1.7260e-03 eta: 10:26:29 time: 1.1838 data_time: 0.2732 memory: 16395 loss: 1.9138 loss_prob: 1.1108 loss_thr: 0.6187 loss_db: 0.1843 2022/11/02 15:15:10 - mmengine - INFO - Epoch(train) [267][15/63] lr: 1.7260e-03 eta: 10:26:29 time: 0.7760 data_time: 0.0080 memory: 16395 loss: 2.0040 loss_prob: 1.1943 loss_thr: 0.6194 loss_db: 0.1903 2022/11/02 15:15:13 - mmengine - INFO - Epoch(train) [267][20/63] lr: 1.7260e-03 eta: 10:26:23 time: 0.6681 data_time: 0.0080 memory: 16395 loss: 2.0399 loss_prob: 1.2240 loss_thr: 0.6218 loss_db: 0.1941 2022/11/02 15:15:16 - mmengine - INFO - Epoch(train) [267][25/63] lr: 1.7260e-03 eta: 10:26:23 time: 0.5783 data_time: 0.0212 memory: 16395 loss: 2.0906 loss_prob: 1.2557 loss_thr: 0.6271 loss_db: 0.2077 2022/11/02 15:15:19 - mmengine - INFO - Epoch(train) [267][30/63] lr: 1.7260e-03 eta: 10:26:16 time: 0.5998 data_time: 0.0472 memory: 16395 loss: 2.2501 loss_prob: 1.3985 loss_thr: 0.6261 loss_db: 0.2255 2022/11/02 15:15:22 - mmengine - INFO - Epoch(train) [267][35/63] lr: 1.7260e-03 eta: 10:26:16 time: 0.6254 data_time: 0.0330 memory: 16395 loss: 2.2057 loss_prob: 1.3644 loss_thr: 0.6276 loss_db: 0.2137 2022/11/02 15:15:25 - mmengine - INFO - Epoch(train) [267][40/63] lr: 1.7260e-03 eta: 10:26:08 time: 0.6028 data_time: 0.0078 memory: 16395 loss: 2.1981 loss_prob: 1.3272 loss_thr: 0.6602 loss_db: 0.2107 2022/11/02 15:15:28 - mmengine - INFO - Epoch(train) [267][45/63] lr: 1.7260e-03 eta: 10:26:08 time: 0.6214 data_time: 0.0094 memory: 16395 loss: 2.0993 loss_prob: 1.2457 loss_thr: 0.6532 loss_db: 0.2005 2022/11/02 15:15:31 - mmengine - INFO - Epoch(train) [267][50/63] lr: 1.7260e-03 eta: 10:26:02 time: 0.6418 data_time: 0.0181 memory: 16395 loss: 1.9952 loss_prob: 1.1628 loss_thr: 0.6429 loss_db: 0.1895 2022/11/02 15:15:34 - mmengine - INFO - Epoch(train) [267][55/63] lr: 1.7260e-03 eta: 10:26:02 time: 0.6152 data_time: 0.0287 memory: 16395 loss: 2.0065 loss_prob: 1.1620 loss_thr: 0.6538 loss_db: 0.1908 2022/11/02 15:15:38 - mmengine - INFO - Epoch(train) [267][60/63] lr: 1.7260e-03 eta: 10:25:57 time: 0.6889 data_time: 0.0217 memory: 16395 loss: 2.0276 loss_prob: 1.1904 loss_thr: 0.6426 loss_db: 0.1946 2022/11/02 15:15:39 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:15:46 - mmengine - INFO - Epoch(train) [268][5/63] lr: 1.7243e-03 eta: 10:25:57 time: 0.9431 data_time: 0.2245 memory: 16395 loss: 2.2985 loss_prob: 1.4213 loss_thr: 0.6506 loss_db: 0.2266 2022/11/02 15:15:48 - mmengine - INFO - Epoch(train) [268][10/63] lr: 1.7243e-03 eta: 10:25:52 time: 0.9203 data_time: 0.2384 memory: 16395 loss: 2.4690 loss_prob: 1.5516 loss_thr: 0.6696 loss_db: 0.2478 2022/11/02 15:15:52 - mmengine - INFO - Epoch(train) [268][15/63] lr: 1.7243e-03 eta: 10:25:52 time: 0.6318 data_time: 0.0229 memory: 16395 loss: 2.2615 loss_prob: 1.4014 loss_thr: 0.6347 loss_db: 0.2254 2022/11/02 15:15:55 - mmengine - INFO - Epoch(train) [268][20/63] lr: 1.7243e-03 eta: 10:25:45 time: 0.6315 data_time: 0.0093 memory: 16395 loss: 2.1012 loss_prob: 1.2554 loss_thr: 0.6409 loss_db: 0.2048 2022/11/02 15:15:58 - mmengine - INFO - Epoch(train) [268][25/63] lr: 1.7243e-03 eta: 10:25:45 time: 0.5877 data_time: 0.0239 memory: 16395 loss: 2.1309 loss_prob: 1.2668 loss_thr: 0.6562 loss_db: 0.2078 2022/11/02 15:16:01 - mmengine - INFO - Epoch(train) [268][30/63] lr: 1.7243e-03 eta: 10:25:37 time: 0.5757 data_time: 0.0337 memory: 16395 loss: 2.1119 loss_prob: 1.2694 loss_thr: 0.6362 loss_db: 0.2062 2022/11/02 15:16:04 - mmengine - INFO - Epoch(train) [268][35/63] lr: 1.7243e-03 eta: 10:25:37 time: 0.5954 data_time: 0.0240 memory: 16395 loss: 2.3563 loss_prob: 1.4672 loss_thr: 0.6552 loss_db: 0.2339 2022/11/02 15:16:07 - mmengine - INFO - Epoch(train) [268][40/63] lr: 1.7243e-03 eta: 10:25:30 time: 0.6160 data_time: 0.0154 memory: 16395 loss: 2.5463 loss_prob: 1.6133 loss_thr: 0.6746 loss_db: 0.2585 2022/11/02 15:16:10 - mmengine - INFO - Epoch(train) [268][45/63] lr: 1.7243e-03 eta: 10:25:30 time: 0.6105 data_time: 0.0065 memory: 16395 loss: 2.2187 loss_prob: 1.3571 loss_thr: 0.6437 loss_db: 0.2179 2022/11/02 15:16:13 - mmengine - INFO - Epoch(train) [268][50/63] lr: 1.7243e-03 eta: 10:25:23 time: 0.6373 data_time: 0.0178 memory: 16395 loss: 2.0442 loss_prob: 1.2267 loss_thr: 0.6201 loss_db: 0.1974 2022/11/02 15:16:17 - mmengine - INFO - Epoch(train) [268][55/63] lr: 1.7243e-03 eta: 10:25:23 time: 0.6948 data_time: 0.0291 memory: 16395 loss: 2.0067 loss_prob: 1.2132 loss_thr: 0.5968 loss_db: 0.1967 2022/11/02 15:16:20 - mmengine - INFO - Epoch(train) [268][60/63] lr: 1.7243e-03 eta: 10:25:20 time: 0.7332 data_time: 0.0179 memory: 16395 loss: 2.0297 loss_prob: 1.2331 loss_thr: 0.5987 loss_db: 0.1979 2022/11/02 15:16:22 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:16:28 - mmengine - INFO - Epoch(train) [269][5/63] lr: 1.7226e-03 eta: 10:25:20 time: 1.0013 data_time: 0.2288 memory: 16395 loss: 1.9553 loss_prob: 1.1616 loss_thr: 0.6084 loss_db: 0.1853 2022/11/02 15:16:31 - mmengine - INFO - Epoch(train) [269][10/63] lr: 1.7226e-03 eta: 10:25:13 time: 0.8747 data_time: 0.2297 memory: 16395 loss: 1.8890 loss_prob: 1.1063 loss_thr: 0.6028 loss_db: 0.1799 2022/11/02 15:16:34 - mmengine - INFO - Epoch(train) [269][15/63] lr: 1.7226e-03 eta: 10:25:13 time: 0.5489 data_time: 0.0126 memory: 16395 loss: 1.9146 loss_prob: 1.1105 loss_thr: 0.6195 loss_db: 0.1846 2022/11/02 15:16:36 - mmengine - INFO - Epoch(train) [269][20/63] lr: 1.7226e-03 eta: 10:25:03 time: 0.5327 data_time: 0.0103 memory: 16395 loss: 1.9558 loss_prob: 1.1450 loss_thr: 0.6204 loss_db: 0.1904 2022/11/02 15:16:39 - mmengine - INFO - Epoch(train) [269][25/63] lr: 1.7226e-03 eta: 10:25:03 time: 0.5665 data_time: 0.0074 memory: 16395 loss: 1.9421 loss_prob: 1.1411 loss_thr: 0.6178 loss_db: 0.1832 2022/11/02 15:16:43 - mmengine - INFO - Epoch(train) [269][30/63] lr: 1.7226e-03 eta: 10:24:56 time: 0.6248 data_time: 0.0382 memory: 16395 loss: 1.9255 loss_prob: 1.1302 loss_thr: 0.6169 loss_db: 0.1784 2022/11/02 15:16:45 - mmengine - INFO - Epoch(train) [269][35/63] lr: 1.7226e-03 eta: 10:24:56 time: 0.5949 data_time: 0.0358 memory: 16395 loss: 1.9680 loss_prob: 1.1753 loss_thr: 0.6036 loss_db: 0.1891 2022/11/02 15:16:48 - mmengine - INFO - Epoch(train) [269][40/63] lr: 1.7226e-03 eta: 10:24:47 time: 0.5496 data_time: 0.0155 memory: 16395 loss: 2.0005 loss_prob: 1.1950 loss_thr: 0.6145 loss_db: 0.1910 2022/11/02 15:16:52 - mmengine - INFO - Epoch(train) [269][45/63] lr: 1.7226e-03 eta: 10:24:47 time: 0.6283 data_time: 0.0217 memory: 16395 loss: 1.9460 loss_prob: 1.1592 loss_thr: 0.6043 loss_db: 0.1825 2022/11/02 15:16:55 - mmengine - INFO - Epoch(train) [269][50/63] lr: 1.7226e-03 eta: 10:24:42 time: 0.6847 data_time: 0.0263 memory: 16395 loss: 2.1036 loss_prob: 1.2912 loss_thr: 0.6073 loss_db: 0.2051 2022/11/02 15:16:58 - mmengine - INFO - Epoch(train) [269][55/63] lr: 1.7226e-03 eta: 10:24:42 time: 0.5937 data_time: 0.0240 memory: 16395 loss: 2.4168 loss_prob: 1.5443 loss_thr: 0.6265 loss_db: 0.2460 2022/11/02 15:17:01 - mmengine - INFO - Epoch(train) [269][60/63] lr: 1.7226e-03 eta: 10:24:33 time: 0.5599 data_time: 0.0110 memory: 16395 loss: 2.2815 loss_prob: 1.4293 loss_thr: 0.6237 loss_db: 0.2284 2022/11/02 15:17:02 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:17:08 - mmengine - INFO - Epoch(train) [270][5/63] lr: 1.7210e-03 eta: 10:24:33 time: 0.8784 data_time: 0.2159 memory: 16395 loss: 2.0886 loss_prob: 1.2476 loss_thr: 0.6378 loss_db: 0.2031 2022/11/02 15:17:11 - mmengine - INFO - Epoch(train) [270][10/63] lr: 1.7210e-03 eta: 10:24:28 time: 0.9198 data_time: 0.2134 memory: 16395 loss: 2.1147 loss_prob: 1.2815 loss_thr: 0.6267 loss_db: 0.2065 2022/11/02 15:17:16 - mmengine - INFO - Epoch(train) [270][15/63] lr: 1.7210e-03 eta: 10:24:28 time: 0.7366 data_time: 0.0086 memory: 16395 loss: 2.1431 loss_prob: 1.3073 loss_thr: 0.6302 loss_db: 0.2056 2022/11/02 15:17:18 - mmengine - INFO - Epoch(train) [270][20/63] lr: 1.7210e-03 eta: 10:24:24 time: 0.7083 data_time: 0.0143 memory: 16395 loss: 2.0304 loss_prob: 1.2150 loss_thr: 0.6244 loss_db: 0.1910 2022/11/02 15:17:22 - mmengine - INFO - Epoch(train) [270][25/63] lr: 1.7210e-03 eta: 10:24:24 time: 0.5898 data_time: 0.0155 memory: 16395 loss: 1.9595 loss_prob: 1.1709 loss_thr: 0.6027 loss_db: 0.1859 2022/11/02 15:17:26 - mmengine - INFO - Epoch(train) [270][30/63] lr: 1.7210e-03 eta: 10:24:21 time: 0.7507 data_time: 0.0380 memory: 16395 loss: 1.9689 loss_prob: 1.1774 loss_thr: 0.6075 loss_db: 0.1839 2022/11/02 15:17:29 - mmengine - INFO - Epoch(train) [270][35/63] lr: 1.7210e-03 eta: 10:24:21 time: 0.7981 data_time: 0.0340 memory: 16395 loss: 2.0102 loss_prob: 1.1891 loss_thr: 0.6350 loss_db: 0.1861 2022/11/02 15:17:33 - mmengine - INFO - Epoch(train) [270][40/63] lr: 1.7210e-03 eta: 10:24:16 time: 0.6733 data_time: 0.0065 memory: 16395 loss: 2.0153 loss_prob: 1.1926 loss_thr: 0.6341 loss_db: 0.1886 2022/11/02 15:17:36 - mmengine - INFO - Epoch(train) [270][45/63] lr: 1.7210e-03 eta: 10:24:16 time: 0.6247 data_time: 0.0066 memory: 16395 loss: 2.1792 loss_prob: 1.3251 loss_thr: 0.6427 loss_db: 0.2114 2022/11/02 15:17:39 - mmengine - INFO - Epoch(train) [270][50/63] lr: 1.7210e-03 eta: 10:24:08 time: 0.6090 data_time: 0.0181 memory: 16395 loss: 2.2829 loss_prob: 1.3943 loss_thr: 0.6622 loss_db: 0.2263 2022/11/02 15:17:41 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:17:42 - mmengine - INFO - Epoch(train) [270][55/63] lr: 1.7210e-03 eta: 10:24:08 time: 0.6131 data_time: 0.0314 memory: 16395 loss: 2.1181 loss_prob: 1.2624 loss_thr: 0.6542 loss_db: 0.2015 2022/11/02 15:17:45 - mmengine - INFO - Epoch(train) [270][60/63] lr: 1.7210e-03 eta: 10:24:02 time: 0.6330 data_time: 0.0198 memory: 16395 loss: 2.0548 loss_prob: 1.2278 loss_thr: 0.6345 loss_db: 0.1925 2022/11/02 15:17:48 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:17:54 - mmengine - INFO - Epoch(train) [271][5/63] lr: 1.7193e-03 eta: 10:24:02 time: 1.0414 data_time: 0.2694 memory: 16395 loss: 2.1448 loss_prob: 1.3271 loss_thr: 0.6084 loss_db: 0.2092 2022/11/02 15:17:58 - mmengine - INFO - Epoch(train) [271][10/63] lr: 1.7193e-03 eta: 10:23:58 time: 0.9707 data_time: 0.2699 memory: 16395 loss: 2.1588 loss_prob: 1.3225 loss_thr: 0.6249 loss_db: 0.2115 2022/11/02 15:18:01 - mmengine - INFO - Epoch(train) [271][15/63] lr: 1.7193e-03 eta: 10:23:58 time: 0.6671 data_time: 0.0068 memory: 16395 loss: 1.9677 loss_prob: 1.1668 loss_thr: 0.6089 loss_db: 0.1920 2022/11/02 15:18:04 - mmengine - INFO - Epoch(train) [271][20/63] lr: 1.7193e-03 eta: 10:23:53 time: 0.6833 data_time: 0.0077 memory: 16395 loss: 1.9875 loss_prob: 1.1749 loss_thr: 0.6230 loss_db: 0.1896 2022/11/02 15:18:09 - mmengine - INFO - Epoch(train) [271][25/63] lr: 1.7193e-03 eta: 10:23:53 time: 0.7603 data_time: 0.0186 memory: 16395 loss: 2.0534 loss_prob: 1.2301 loss_thr: 0.6255 loss_db: 0.1978 2022/11/02 15:18:12 - mmengine - INFO - Epoch(train) [271][30/63] lr: 1.7193e-03 eta: 10:23:51 time: 0.7518 data_time: 0.0476 memory: 16395 loss: 2.0038 loss_prob: 1.1988 loss_thr: 0.6114 loss_db: 0.1936 2022/11/02 15:18:15 - mmengine - INFO - Epoch(train) [271][35/63] lr: 1.7193e-03 eta: 10:23:51 time: 0.6533 data_time: 0.0382 memory: 16395 loss: 1.9623 loss_prob: 1.1603 loss_thr: 0.6166 loss_db: 0.1854 2022/11/02 15:18:18 - mmengine - INFO - Epoch(train) [271][40/63] lr: 1.7193e-03 eta: 10:23:45 time: 0.6485 data_time: 0.0085 memory: 16395 loss: 1.9681 loss_prob: 1.1750 loss_thr: 0.6034 loss_db: 0.1897 2022/11/02 15:18:21 - mmengine - INFO - Epoch(train) [271][45/63] lr: 1.7193e-03 eta: 10:23:45 time: 0.6054 data_time: 0.0066 memory: 16395 loss: 2.0649 loss_prob: 1.2479 loss_thr: 0.6122 loss_db: 0.2049 2022/11/02 15:18:24 - mmengine - INFO - Epoch(train) [271][50/63] lr: 1.7193e-03 eta: 10:23:36 time: 0.5769 data_time: 0.0171 memory: 16395 loss: 1.9664 loss_prob: 1.1680 loss_thr: 0.6110 loss_db: 0.1875 2022/11/02 15:18:28 - mmengine - INFO - Epoch(train) [271][55/63] lr: 1.7193e-03 eta: 10:23:36 time: 0.6381 data_time: 0.0319 memory: 16395 loss: 1.9608 loss_prob: 1.1656 loss_thr: 0.6120 loss_db: 0.1832 2022/11/02 15:18:30 - mmengine - INFO - Epoch(train) [271][60/63] lr: 1.7193e-03 eta: 10:23:28 time: 0.5931 data_time: 0.0206 memory: 16395 loss: 2.2264 loss_prob: 1.3525 loss_thr: 0.6593 loss_db: 0.2146 2022/11/02 15:18:32 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:18:38 - mmengine - INFO - Epoch(train) [272][5/63] lr: 1.7176e-03 eta: 10:23:28 time: 0.9147 data_time: 0.2618 memory: 16395 loss: 2.0357 loss_prob: 1.2034 loss_thr: 0.6361 loss_db: 0.1962 2022/11/02 15:18:41 - mmengine - INFO - Epoch(train) [272][10/63] lr: 1.7176e-03 eta: 10:23:25 time: 0.9640 data_time: 0.2691 memory: 16395 loss: 2.0122 loss_prob: 1.1966 loss_thr: 0.6200 loss_db: 0.1957 2022/11/02 15:18:45 - mmengine - INFO - Epoch(train) [272][15/63] lr: 1.7176e-03 eta: 10:23:25 time: 0.6761 data_time: 0.0132 memory: 16395 loss: 2.1012 loss_prob: 1.2622 loss_thr: 0.6340 loss_db: 0.2050 2022/11/02 15:18:49 - mmengine - INFO - Epoch(train) [272][20/63] lr: 1.7176e-03 eta: 10:23:21 time: 0.7134 data_time: 0.0083 memory: 16395 loss: 2.0471 loss_prob: 1.2261 loss_thr: 0.6241 loss_db: 0.1969 2022/11/02 15:18:51 - mmengine - INFO - Epoch(train) [272][25/63] lr: 1.7176e-03 eta: 10:23:21 time: 0.6385 data_time: 0.0218 memory: 16395 loss: 2.1849 loss_prob: 1.3449 loss_thr: 0.6282 loss_db: 0.2118 2022/11/02 15:18:55 - mmengine - INFO - Epoch(train) [272][30/63] lr: 1.7176e-03 eta: 10:23:14 time: 0.6197 data_time: 0.0360 memory: 16395 loss: 2.2973 loss_prob: 1.4345 loss_thr: 0.6402 loss_db: 0.2226 2022/11/02 15:18:58 - mmengine - INFO - Epoch(train) [272][35/63] lr: 1.7176e-03 eta: 10:23:14 time: 0.6397 data_time: 0.0240 memory: 16395 loss: 2.1697 loss_prob: 1.2993 loss_thr: 0.6631 loss_db: 0.2073 2022/11/02 15:19:01 - mmengine - INFO - Epoch(train) [272][40/63] lr: 1.7176e-03 eta: 10:23:05 time: 0.5795 data_time: 0.0105 memory: 16395 loss: 2.1830 loss_prob: 1.2985 loss_thr: 0.6692 loss_db: 0.2153 2022/11/02 15:19:04 - mmengine - INFO - Epoch(train) [272][45/63] lr: 1.7176e-03 eta: 10:23:05 time: 0.6141 data_time: 0.0108 memory: 16395 loss: 2.2507 loss_prob: 1.3766 loss_thr: 0.6494 loss_db: 0.2247 2022/11/02 15:19:07 - mmengine - INFO - Epoch(train) [272][50/63] lr: 1.7176e-03 eta: 10:23:00 time: 0.6594 data_time: 0.0184 memory: 16395 loss: 2.1950 loss_prob: 1.3420 loss_thr: 0.6418 loss_db: 0.2113 2022/11/02 15:19:10 - mmengine - INFO - Epoch(train) [272][55/63] lr: 1.7176e-03 eta: 10:23:00 time: 0.6145 data_time: 0.0351 memory: 16395 loss: 2.1831 loss_prob: 1.3433 loss_thr: 0.6265 loss_db: 0.2133 2022/11/02 15:19:13 - mmengine - INFO - Epoch(train) [272][60/63] lr: 1.7176e-03 eta: 10:22:53 time: 0.6279 data_time: 0.0259 memory: 16395 loss: 2.2491 loss_prob: 1.3811 loss_thr: 0.6459 loss_db: 0.2221 2022/11/02 15:19:15 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:19:21 - mmengine - INFO - Epoch(train) [273][5/63] lr: 1.7160e-03 eta: 10:22:53 time: 0.9376 data_time: 0.2623 memory: 16395 loss: 2.1496 loss_prob: 1.3105 loss_thr: 0.6268 loss_db: 0.2123 2022/11/02 15:19:25 - mmengine - INFO - Epoch(train) [273][10/63] lr: 1.7160e-03 eta: 10:22:50 time: 1.0057 data_time: 0.2707 memory: 16395 loss: 2.0530 loss_prob: 1.2442 loss_thr: 0.6085 loss_db: 0.2002 2022/11/02 15:19:28 - mmengine - INFO - Epoch(train) [273][15/63] lr: 1.7160e-03 eta: 10:22:50 time: 0.6372 data_time: 0.0180 memory: 16395 loss: 2.0033 loss_prob: 1.1927 loss_thr: 0.6186 loss_db: 0.1920 2022/11/02 15:19:31 - mmengine - INFO - Epoch(train) [273][20/63] lr: 1.7160e-03 eta: 10:22:44 time: 0.6326 data_time: 0.0102 memory: 16395 loss: 2.0617 loss_prob: 1.2283 loss_thr: 0.6274 loss_db: 0.2061 2022/11/02 15:19:35 - mmengine - INFO - Epoch(train) [273][25/63] lr: 1.7160e-03 eta: 10:22:44 time: 0.7023 data_time: 0.0289 memory: 16395 loss: 2.0697 loss_prob: 1.2303 loss_thr: 0.6374 loss_db: 0.2020 2022/11/02 15:19:38 - mmengine - INFO - Epoch(train) [273][30/63] lr: 1.7160e-03 eta: 10:22:40 time: 0.7133 data_time: 0.0383 memory: 16395 loss: 2.0418 loss_prob: 1.2220 loss_thr: 0.6215 loss_db: 0.1984 2022/11/02 15:19:41 - mmengine - INFO - Epoch(train) [273][35/63] lr: 1.7160e-03 eta: 10:22:40 time: 0.6787 data_time: 0.0240 memory: 16395 loss: 2.0160 loss_prob: 1.2017 loss_thr: 0.6185 loss_db: 0.1958 2022/11/02 15:19:45 - mmengine - INFO - Epoch(train) [273][40/63] lr: 1.7160e-03 eta: 10:22:36 time: 0.7007 data_time: 0.0117 memory: 16395 loss: 1.9882 loss_prob: 1.1733 loss_thr: 0.6253 loss_db: 0.1896 2022/11/02 15:19:48 - mmengine - INFO - Epoch(train) [273][45/63] lr: 1.7160e-03 eta: 10:22:36 time: 0.6640 data_time: 0.0123 memory: 16395 loss: 2.0680 loss_prob: 1.2205 loss_thr: 0.6466 loss_db: 0.2008 2022/11/02 15:19:51 - mmengine - INFO - Epoch(train) [273][50/63] lr: 1.7160e-03 eta: 10:22:28 time: 0.6051 data_time: 0.0247 memory: 16395 loss: 2.0669 loss_prob: 1.2179 loss_thr: 0.6488 loss_db: 0.2002 2022/11/02 15:19:54 - mmengine - INFO - Epoch(train) [273][55/63] lr: 1.7160e-03 eta: 10:22:28 time: 0.6409 data_time: 0.0228 memory: 16395 loss: 2.0995 loss_prob: 1.2605 loss_thr: 0.6325 loss_db: 0.2065 2022/11/02 15:19:59 - mmengine - INFO - Epoch(train) [273][60/63] lr: 1.7160e-03 eta: 10:22:25 time: 0.7354 data_time: 0.0141 memory: 16395 loss: 2.1195 loss_prob: 1.2781 loss_thr: 0.6300 loss_db: 0.2115 2022/11/02 15:20:00 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:20:06 - mmengine - INFO - Epoch(train) [274][5/63] lr: 1.7143e-03 eta: 10:22:25 time: 1.0210 data_time: 0.2214 memory: 16395 loss: 1.9951 loss_prob: 1.1835 loss_thr: 0.6208 loss_db: 0.1908 2022/11/02 15:20:10 - mmengine - INFO - Epoch(train) [274][10/63] lr: 1.7143e-03 eta: 10:22:21 time: 0.9705 data_time: 0.2326 memory: 16395 loss: 2.0516 loss_prob: 1.2250 loss_thr: 0.6267 loss_db: 0.1999 2022/11/02 15:20:13 - mmengine - INFO - Epoch(train) [274][15/63] lr: 1.7143e-03 eta: 10:22:21 time: 0.6468 data_time: 0.0223 memory: 16395 loss: 1.9522 loss_prob: 1.1558 loss_thr: 0.6090 loss_db: 0.1875 2022/11/02 15:20:16 - mmengine - INFO - Epoch(train) [274][20/63] lr: 1.7143e-03 eta: 10:22:15 time: 0.6483 data_time: 0.0079 memory: 16395 loss: 2.1360 loss_prob: 1.2780 loss_thr: 0.6522 loss_db: 0.2059 2022/11/02 15:20:19 - mmengine - INFO - Epoch(train) [274][25/63] lr: 1.7143e-03 eta: 10:22:15 time: 0.6451 data_time: 0.0154 memory: 16395 loss: 2.0545 loss_prob: 1.2231 loss_thr: 0.6329 loss_db: 0.1985 2022/11/02 15:20:23 - mmengine - INFO - Epoch(train) [274][30/63] lr: 1.7143e-03 eta: 10:22:10 time: 0.6607 data_time: 0.0296 memory: 16395 loss: 1.9841 loss_prob: 1.1549 loss_thr: 0.6388 loss_db: 0.1904 2022/11/02 15:20:26 - mmengine - INFO - Epoch(train) [274][35/63] lr: 1.7143e-03 eta: 10:22:10 time: 0.6800 data_time: 0.0337 memory: 16395 loss: 2.0981 loss_prob: 1.2357 loss_thr: 0.6592 loss_db: 0.2032 2022/11/02 15:20:29 - mmengine - INFO - Epoch(train) [274][40/63] lr: 1.7143e-03 eta: 10:22:03 time: 0.6277 data_time: 0.0219 memory: 16395 loss: 1.9673 loss_prob: 1.1662 loss_thr: 0.6114 loss_db: 0.1897 2022/11/02 15:20:33 - mmengine - INFO - Epoch(train) [274][45/63] lr: 1.7143e-03 eta: 10:22:03 time: 0.6374 data_time: 0.0113 memory: 16395 loss: 1.9070 loss_prob: 1.1279 loss_thr: 0.5970 loss_db: 0.1821 2022/11/02 15:20:36 - mmengine - INFO - Epoch(train) [274][50/63] lr: 1.7143e-03 eta: 10:21:58 time: 0.6765 data_time: 0.0206 memory: 16395 loss: 1.9479 loss_prob: 1.1464 loss_thr: 0.6190 loss_db: 0.1825 2022/11/02 15:20:40 - mmengine - INFO - Epoch(train) [274][55/63] lr: 1.7143e-03 eta: 10:21:58 time: 0.7093 data_time: 0.0342 memory: 16395 loss: 2.1298 loss_prob: 1.2947 loss_thr: 0.6350 loss_db: 0.2002 2022/11/02 15:20:43 - mmengine - INFO - Epoch(train) [274][60/63] lr: 1.7143e-03 eta: 10:21:53 time: 0.6863 data_time: 0.0277 memory: 16395 loss: 2.3429 loss_prob: 1.4540 loss_thr: 0.6538 loss_db: 0.2351 2022/11/02 15:20:44 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:20:51 - mmengine - INFO - Epoch(train) [275][5/63] lr: 1.7126e-03 eta: 10:21:53 time: 0.8751 data_time: 0.2657 memory: 16395 loss: 2.2800 loss_prob: 1.3949 loss_thr: 0.6638 loss_db: 0.2214 2022/11/02 15:20:54 - mmengine - INFO - Epoch(train) [275][10/63] lr: 1.7126e-03 eta: 10:21:48 time: 0.9429 data_time: 0.2678 memory: 16395 loss: 2.4096 loss_prob: 1.5041 loss_thr: 0.6634 loss_db: 0.2421 2022/11/02 15:20:57 - mmengine - INFO - Epoch(train) [275][15/63] lr: 1.7126e-03 eta: 10:21:48 time: 0.6775 data_time: 0.0177 memory: 16395 loss: 2.3751 loss_prob: 1.4717 loss_thr: 0.6684 loss_db: 0.2350 2022/11/02 15:21:01 - mmengine - INFO - Epoch(train) [275][20/63] lr: 1.7126e-03 eta: 10:21:43 time: 0.6733 data_time: 0.0099 memory: 16395 loss: 2.3047 loss_prob: 1.4050 loss_thr: 0.6741 loss_db: 0.2257 2022/11/02 15:21:04 - mmengine - INFO - Epoch(train) [275][25/63] lr: 1.7126e-03 eta: 10:21:43 time: 0.6413 data_time: 0.0198 memory: 16395 loss: 2.2394 loss_prob: 1.3563 loss_thr: 0.6614 loss_db: 0.2217 2022/11/02 15:21:06 - mmengine - INFO - Epoch(train) [275][30/63] lr: 1.7126e-03 eta: 10:21:35 time: 0.5814 data_time: 0.0319 memory: 16395 loss: 2.2965 loss_prob: 1.4153 loss_thr: 0.6512 loss_db: 0.2301 2022/11/02 15:21:10 - mmengine - INFO - Epoch(train) [275][35/63] lr: 1.7126e-03 eta: 10:21:35 time: 0.6080 data_time: 0.0297 memory: 16395 loss: 2.2913 loss_prob: 1.4092 loss_thr: 0.6557 loss_db: 0.2265 2022/11/02 15:21:13 - mmengine - INFO - Epoch(train) [275][40/63] lr: 1.7126e-03 eta: 10:21:28 time: 0.6426 data_time: 0.0218 memory: 16395 loss: 2.1361 loss_prob: 1.2768 loss_thr: 0.6561 loss_db: 0.2033 2022/11/02 15:21:16 - mmengine - INFO - Epoch(train) [275][45/63] lr: 1.7126e-03 eta: 10:21:28 time: 0.5697 data_time: 0.0131 memory: 16395 loss: 2.0979 loss_prob: 1.2521 loss_thr: 0.6467 loss_db: 0.1992 2022/11/02 15:21:18 - mmengine - INFO - Epoch(train) [275][50/63] lr: 1.7126e-03 eta: 10:21:19 time: 0.5557 data_time: 0.0158 memory: 16395 loss: 2.1479 loss_prob: 1.2795 loss_thr: 0.6646 loss_db: 0.2038 2022/11/02 15:21:21 - mmengine - INFO - Epoch(train) [275][55/63] lr: 1.7126e-03 eta: 10:21:19 time: 0.5776 data_time: 0.0285 memory: 16395 loss: 2.1051 loss_prob: 1.2496 loss_thr: 0.6546 loss_db: 0.2010 2022/11/02 15:21:24 - mmengine - INFO - Epoch(train) [275][60/63] lr: 1.7126e-03 eta: 10:21:10 time: 0.5679 data_time: 0.0232 memory: 16395 loss: 2.1115 loss_prob: 1.2648 loss_thr: 0.6443 loss_db: 0.2025 2022/11/02 15:21:26 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:21:32 - mmengine - INFO - Epoch(train) [276][5/63] lr: 1.7110e-03 eta: 10:21:10 time: 0.9114 data_time: 0.3147 memory: 16395 loss: 2.5300 loss_prob: 1.5848 loss_thr: 0.6885 loss_db: 0.2568 2022/11/02 15:21:35 - mmengine - INFO - Epoch(train) [276][10/63] lr: 1.7110e-03 eta: 10:21:06 time: 0.9477 data_time: 0.3116 memory: 16395 loss: 2.1080 loss_prob: 1.2842 loss_thr: 0.6200 loss_db: 0.2038 2022/11/02 15:21:38 - mmengine - INFO - Epoch(train) [276][15/63] lr: 1.7110e-03 eta: 10:21:06 time: 0.5913 data_time: 0.0123 memory: 16395 loss: 2.0265 loss_prob: 1.2014 loss_thr: 0.6276 loss_db: 0.1974 2022/11/02 15:21:42 - mmengine - INFO - Epoch(train) [276][20/63] lr: 1.7110e-03 eta: 10:21:02 time: 0.7145 data_time: 0.0093 memory: 16395 loss: 2.1675 loss_prob: 1.2965 loss_thr: 0.6602 loss_db: 0.2108 2022/11/02 15:21:45 - mmengine - INFO - Epoch(train) [276][25/63] lr: 1.7110e-03 eta: 10:21:02 time: 0.7321 data_time: 0.0087 memory: 16395 loss: 2.1701 loss_prob: 1.3058 loss_thr: 0.6556 loss_db: 0.2087 2022/11/02 15:21:49 - mmengine - INFO - Epoch(train) [276][30/63] lr: 1.7110e-03 eta: 10:20:58 time: 0.7031 data_time: 0.0406 memory: 16395 loss: 2.1868 loss_prob: 1.3141 loss_thr: 0.6575 loss_db: 0.2152 2022/11/02 15:21:53 - mmengine - INFO - Epoch(train) [276][35/63] lr: 1.7110e-03 eta: 10:20:58 time: 0.7340 data_time: 0.0411 memory: 16395 loss: 2.1122 loss_prob: 1.2645 loss_thr: 0.6426 loss_db: 0.2051 2022/11/02 15:21:56 - mmengine - INFO - Epoch(train) [276][40/63] lr: 1.7110e-03 eta: 10:20:51 time: 0.6323 data_time: 0.0133 memory: 16395 loss: 2.1841 loss_prob: 1.3276 loss_thr: 0.6510 loss_db: 0.2055 2022/11/02 15:21:59 - mmengine - INFO - Epoch(train) [276][45/63] lr: 1.7110e-03 eta: 10:20:51 time: 0.6799 data_time: 0.0142 memory: 16395 loss: 2.2280 loss_prob: 1.3642 loss_thr: 0.6486 loss_db: 0.2152 2022/11/02 15:22:03 - mmengine - INFO - Epoch(train) [276][50/63] lr: 1.7110e-03 eta: 10:20:47 time: 0.7100 data_time: 0.0312 memory: 16395 loss: 2.1262 loss_prob: 1.2668 loss_thr: 0.6517 loss_db: 0.2076 2022/11/02 15:22:06 - mmengine - INFO - Epoch(train) [276][55/63] lr: 1.7110e-03 eta: 10:20:47 time: 0.6491 data_time: 0.0275 memory: 16395 loss: 2.1971 loss_prob: 1.3048 loss_thr: 0.6794 loss_db: 0.2130 2022/11/02 15:22:09 - mmengine - INFO - Epoch(train) [276][60/63] lr: 1.7110e-03 eta: 10:20:40 time: 0.6111 data_time: 0.0068 memory: 16395 loss: 1.9928 loss_prob: 1.1748 loss_thr: 0.6285 loss_db: 0.1895 2022/11/02 15:22:10 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:22:17 - mmengine - INFO - Epoch(train) [277][5/63] lr: 1.7093e-03 eta: 10:20:40 time: 0.9203 data_time: 0.2140 memory: 16395 loss: 2.2098 loss_prob: 1.3592 loss_thr: 0.6366 loss_db: 0.2140 2022/11/02 15:22:21 - mmengine - INFO - Epoch(train) [277][10/63] lr: 1.7093e-03 eta: 10:20:39 time: 1.0618 data_time: 0.2170 memory: 16395 loss: 2.4839 loss_prob: 1.5635 loss_thr: 0.6712 loss_db: 0.2492 2022/11/02 15:22:24 - mmengine - INFO - Epoch(train) [277][15/63] lr: 1.7093e-03 eta: 10:20:39 time: 0.7382 data_time: 0.0181 memory: 16395 loss: 2.2977 loss_prob: 1.4041 loss_thr: 0.6680 loss_db: 0.2256 2022/11/02 15:22:27 - mmengine - INFO - Epoch(train) [277][20/63] lr: 1.7093e-03 eta: 10:20:33 time: 0.6609 data_time: 0.0183 memory: 16395 loss: 2.2481 loss_prob: 1.3886 loss_thr: 0.6346 loss_db: 0.2249 2022/11/02 15:22:30 - mmengine - INFO - Epoch(train) [277][25/63] lr: 1.7093e-03 eta: 10:20:33 time: 0.6353 data_time: 0.0168 memory: 16395 loss: 2.3976 loss_prob: 1.4943 loss_thr: 0.6593 loss_db: 0.2440 2022/11/02 15:22:34 - mmengine - INFO - Epoch(train) [277][30/63] lr: 1.7093e-03 eta: 10:20:26 time: 0.6169 data_time: 0.0345 memory: 16395 loss: 2.4001 loss_prob: 1.5059 loss_thr: 0.6476 loss_db: 0.2466 2022/11/02 15:22:37 - mmengine - INFO - Epoch(train) [277][35/63] lr: 1.7093e-03 eta: 10:20:26 time: 0.6147 data_time: 0.0292 memory: 16395 loss: 2.5009 loss_prob: 1.6021 loss_thr: 0.6416 loss_db: 0.2573 2022/11/02 15:22:40 - mmengine - INFO - Epoch(train) [277][40/63] lr: 1.7093e-03 eta: 10:20:20 time: 0.6503 data_time: 0.0164 memory: 16395 loss: 2.4265 loss_prob: 1.5227 loss_thr: 0.6603 loss_db: 0.2435 2022/11/02 15:22:43 - mmengine - INFO - Epoch(train) [277][45/63] lr: 1.7093e-03 eta: 10:20:20 time: 0.6906 data_time: 0.0160 memory: 16395 loss: 2.1744 loss_prob: 1.3148 loss_thr: 0.6487 loss_db: 0.2109 2022/11/02 15:22:47 - mmengine - INFO - Epoch(train) [277][50/63] lr: 1.7093e-03 eta: 10:20:15 time: 0.6620 data_time: 0.0277 memory: 16395 loss: 2.0913 loss_prob: 1.2523 loss_thr: 0.6372 loss_db: 0.2019 2022/11/02 15:22:50 - mmengine - INFO - Epoch(train) [277][55/63] lr: 1.7093e-03 eta: 10:20:15 time: 0.6023 data_time: 0.0255 memory: 16395 loss: 2.2575 loss_prob: 1.3794 loss_thr: 0.6533 loss_db: 0.2249 2022/11/02 15:22:52 - mmengine - INFO - Epoch(train) [277][60/63] lr: 1.7093e-03 eta: 10:20:06 time: 0.5695 data_time: 0.0087 memory: 16395 loss: 2.1704 loss_prob: 1.3178 loss_thr: 0.6389 loss_db: 0.2137 2022/11/02 15:22:54 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:23:02 - mmengine - INFO - Epoch(train) [278][5/63] lr: 1.7076e-03 eta: 10:20:06 time: 1.0721 data_time: 0.2276 memory: 16395 loss: 1.9975 loss_prob: 1.2007 loss_thr: 0.6050 loss_db: 0.1918 2022/11/02 15:23:05 - mmengine - INFO - Epoch(train) [278][10/63] lr: 1.7076e-03 eta: 10:20:08 time: 1.1382 data_time: 0.2249 memory: 16395 loss: 2.3250 loss_prob: 1.4368 loss_thr: 0.6562 loss_db: 0.2319 2022/11/02 15:23:09 - mmengine - INFO - Epoch(train) [278][15/63] lr: 1.7076e-03 eta: 10:20:08 time: 0.6691 data_time: 0.0082 memory: 16395 loss: 2.3523 loss_prob: 1.4298 loss_thr: 0.6903 loss_db: 0.2322 2022/11/02 15:23:12 - mmengine - INFO - Epoch(train) [278][20/63] lr: 1.7076e-03 eta: 10:20:03 time: 0.6904 data_time: 0.0106 memory: 16395 loss: 2.0177 loss_prob: 1.1797 loss_thr: 0.6511 loss_db: 0.1869 2022/11/02 15:23:15 - mmengine - INFO - Epoch(train) [278][25/63] lr: 1.7076e-03 eta: 10:20:03 time: 0.6663 data_time: 0.0251 memory: 16395 loss: 2.0606 loss_prob: 1.2399 loss_thr: 0.6260 loss_db: 0.1947 2022/11/02 15:23:19 - mmengine - INFO - Epoch(train) [278][30/63] lr: 1.7076e-03 eta: 10:19:57 time: 0.6634 data_time: 0.0476 memory: 16395 loss: 2.1012 loss_prob: 1.2573 loss_thr: 0.6450 loss_db: 0.1989 2022/11/02 15:23:22 - mmengine - INFO - Epoch(train) [278][35/63] lr: 1.7076e-03 eta: 10:19:57 time: 0.6507 data_time: 0.0325 memory: 16395 loss: 2.0447 loss_prob: 1.2050 loss_thr: 0.6458 loss_db: 0.1940 2022/11/02 15:23:25 - mmengine - INFO - Epoch(train) [278][40/63] lr: 1.7076e-03 eta: 10:19:49 time: 0.5843 data_time: 0.0083 memory: 16395 loss: 2.1260 loss_prob: 1.2759 loss_thr: 0.6441 loss_db: 0.2060 2022/11/02 15:23:27 - mmengine - INFO - Epoch(train) [278][45/63] lr: 1.7076e-03 eta: 10:19:49 time: 0.5570 data_time: 0.0076 memory: 16395 loss: 2.1309 loss_prob: 1.2839 loss_thr: 0.6385 loss_db: 0.2085 2022/11/02 15:23:30 - mmengine - INFO - Epoch(train) [278][50/63] lr: 1.7076e-03 eta: 10:19:40 time: 0.5712 data_time: 0.0227 memory: 16395 loss: 2.0705 loss_prob: 1.2491 loss_thr: 0.6187 loss_db: 0.2027 2022/11/02 15:23:34 - mmengine - INFO - Epoch(train) [278][55/63] lr: 1.7076e-03 eta: 10:19:40 time: 0.6795 data_time: 0.0299 memory: 16395 loss: 2.3139 loss_prob: 1.4466 loss_thr: 0.6332 loss_db: 0.2341 2022/11/02 15:23:39 - mmengine - INFO - Epoch(train) [278][60/63] lr: 1.7076e-03 eta: 10:19:41 time: 0.8480 data_time: 0.0157 memory: 16395 loss: 2.3756 loss_prob: 1.4824 loss_thr: 0.6530 loss_db: 0.2402 2022/11/02 15:23:40 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:23:47 - mmengine - INFO - Epoch(train) [279][5/63] lr: 1.7060e-03 eta: 10:19:41 time: 1.1091 data_time: 0.2662 memory: 16395 loss: 2.2186 loss_prob: 1.3455 loss_thr: 0.6533 loss_db: 0.2198 2022/11/02 15:23:50 - mmengine - INFO - Epoch(train) [279][10/63] lr: 1.7060e-03 eta: 10:19:37 time: 0.9706 data_time: 0.2671 memory: 16395 loss: 2.3663 loss_prob: 1.4621 loss_thr: 0.6683 loss_db: 0.2360 2022/11/02 15:23:53 - mmengine - INFO - Epoch(train) [279][15/63] lr: 1.7060e-03 eta: 10:19:37 time: 0.5710 data_time: 0.0116 memory: 16395 loss: 2.4333 loss_prob: 1.5197 loss_thr: 0.6672 loss_db: 0.2464 2022/11/02 15:23:57 - mmengine - INFO - Epoch(train) [279][20/63] lr: 1.7060e-03 eta: 10:19:32 time: 0.6752 data_time: 0.0115 memory: 16395 loss: 2.5276 loss_prob: 1.5903 loss_thr: 0.6754 loss_db: 0.2619 2022/11/02 15:24:00 - mmengine - INFO - Epoch(train) [279][25/63] lr: 1.7060e-03 eta: 10:19:32 time: 0.7174 data_time: 0.0317 memory: 16395 loss: 2.4033 loss_prob: 1.4984 loss_thr: 0.6621 loss_db: 0.2428 2022/11/02 15:24:03 - mmengine - INFO - Epoch(train) [279][30/63] lr: 1.7060e-03 eta: 10:19:26 time: 0.6630 data_time: 0.0344 memory: 16395 loss: 2.1778 loss_prob: 1.3260 loss_thr: 0.6442 loss_db: 0.2075 2022/11/02 15:24:07 - mmengine - INFO - Epoch(train) [279][35/63] lr: 1.7060e-03 eta: 10:19:26 time: 0.6527 data_time: 0.0158 memory: 16395 loss: 2.2194 loss_prob: 1.3513 loss_thr: 0.6545 loss_db: 0.2136 2022/11/02 15:24:09 - mmengine - INFO - Epoch(train) [279][40/63] lr: 1.7060e-03 eta: 10:19:18 time: 0.5908 data_time: 0.0138 memory: 16395 loss: 2.2526 loss_prob: 1.3734 loss_thr: 0.6592 loss_db: 0.2200 2022/11/02 15:24:12 - mmengine - INFO - Epoch(train) [279][45/63] lr: 1.7060e-03 eta: 10:19:18 time: 0.5572 data_time: 0.0083 memory: 16395 loss: 2.1420 loss_prob: 1.2958 loss_thr: 0.6384 loss_db: 0.2078 2022/11/02 15:24:15 - mmengine - INFO - Epoch(train) [279][50/63] lr: 1.7060e-03 eta: 10:19:12 time: 0.6293 data_time: 0.0226 memory: 16395 loss: 2.0053 loss_prob: 1.1955 loss_thr: 0.6194 loss_db: 0.1904 2022/11/02 15:24:19 - mmengine - INFO - Epoch(train) [279][55/63] lr: 1.7060e-03 eta: 10:19:12 time: 0.6489 data_time: 0.0239 memory: 16395 loss: 2.0272 loss_prob: 1.1986 loss_thr: 0.6364 loss_db: 0.1921 2022/11/02 15:24:22 - mmengine - INFO - Epoch(train) [279][60/63] lr: 1.7060e-03 eta: 10:19:06 time: 0.6678 data_time: 0.0120 memory: 16395 loss: 1.9711 loss_prob: 1.1635 loss_thr: 0.6212 loss_db: 0.1864 2022/11/02 15:24:23 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:24:29 - mmengine - INFO - Epoch(train) [280][5/63] lr: 1.7043e-03 eta: 10:19:06 time: 0.7997 data_time: 0.2331 memory: 16395 loss: 2.0721 loss_prob: 1.2429 loss_thr: 0.6338 loss_db: 0.1955 2022/11/02 15:24:32 - mmengine - INFO - Epoch(train) [280][10/63] lr: 1.7043e-03 eta: 10:18:59 time: 0.8847 data_time: 0.2285 memory: 16395 loss: 2.1041 loss_prob: 1.2482 loss_thr: 0.6540 loss_db: 0.2020 2022/11/02 15:24:35 - mmengine - INFO - Epoch(train) [280][15/63] lr: 1.7043e-03 eta: 10:18:59 time: 0.6358 data_time: 0.0089 memory: 16395 loss: 2.0971 loss_prob: 1.2558 loss_thr: 0.6382 loss_db: 0.2031 2022/11/02 15:24:38 - mmengine - INFO - Epoch(train) [280][20/63] lr: 1.7043e-03 eta: 10:18:52 time: 0.6088 data_time: 0.0095 memory: 16395 loss: 2.1114 loss_prob: 1.2757 loss_thr: 0.6338 loss_db: 0.2019 2022/11/02 15:24:42 - mmengine - INFO - Epoch(train) [280][25/63] lr: 1.7043e-03 eta: 10:18:52 time: 0.6406 data_time: 0.0355 memory: 16395 loss: 1.9639 loss_prob: 1.1687 loss_thr: 0.6106 loss_db: 0.1846 2022/11/02 15:24:45 - mmengine - INFO - Epoch(train) [280][30/63] lr: 1.7043e-03 eta: 10:18:45 time: 0.6157 data_time: 0.0451 memory: 16395 loss: 1.9535 loss_prob: 1.1654 loss_thr: 0.5978 loss_db: 0.1903 2022/11/02 15:24:48 - mmengine - INFO - Epoch(train) [280][35/63] lr: 1.7043e-03 eta: 10:18:45 time: 0.6075 data_time: 0.0209 memory: 16395 loss: 2.2172 loss_prob: 1.3656 loss_thr: 0.6272 loss_db: 0.2244 2022/11/02 15:24:51 - mmengine - INFO - Epoch(train) [280][40/63] lr: 1.7043e-03 eta: 10:18:37 time: 0.6087 data_time: 0.0110 memory: 16395 loss: 2.3367 loss_prob: 1.4509 loss_thr: 0.6544 loss_db: 0.2314 2022/11/02 15:24:55 - mmengine - INFO - Epoch(train) [280][45/63] lr: 1.7043e-03 eta: 10:18:37 time: 0.6612 data_time: 0.0075 memory: 16395 loss: 2.1278 loss_prob: 1.2860 loss_thr: 0.6362 loss_db: 0.2056 2022/11/02 15:24:58 - mmengine - INFO - Epoch(train) [280][50/63] lr: 1.7043e-03 eta: 10:18:34 time: 0.7356 data_time: 0.0280 memory: 16395 loss: 1.9805 loss_prob: 1.1787 loss_thr: 0.6124 loss_db: 0.1894 2022/11/02 15:25:02 - mmengine - INFO - Epoch(train) [280][55/63] lr: 1.7043e-03 eta: 10:18:34 time: 0.6986 data_time: 0.0281 memory: 16395 loss: 2.0791 loss_prob: 1.2455 loss_thr: 0.6301 loss_db: 0.2036 2022/11/02 15:25:05 - mmengine - INFO - Epoch(train) [280][60/63] lr: 1.7043e-03 eta: 10:18:28 time: 0.6603 data_time: 0.0112 memory: 16395 loss: 2.1144 loss_prob: 1.2763 loss_thr: 0.6274 loss_db: 0.2106 2022/11/02 15:25:06 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:25:06 - mmengine - INFO - Saving checkpoint at 280 epochs 2022/11/02 15:25:10 - mmengine - INFO - Epoch(val) [280][5/500] eta: 10:18:28 time: 0.0578 data_time: 0.0063 memory: 16395 2022/11/02 15:25:10 - mmengine - INFO - Epoch(val) [280][10/500] eta: 0:00:28 time: 0.0580 data_time: 0.0066 memory: 1013 2022/11/02 15:25:11 - mmengine - INFO - Epoch(val) [280][15/500] eta: 0:00:28 time: 0.0449 data_time: 0.0028 memory: 1013 2022/11/02 15:25:11 - mmengine - INFO - Epoch(val) [280][20/500] eta: 0:00:23 time: 0.0496 data_time: 0.0030 memory: 1013 2022/11/02 15:25:11 - mmengine - INFO - Epoch(val) [280][25/500] eta: 0:00:23 time: 0.0528 data_time: 0.0030 memory: 1013 2022/11/02 15:25:11 - mmengine - INFO - Epoch(val) [280][30/500] eta: 0:00:25 time: 0.0533 data_time: 0.0028 memory: 1013 2022/11/02 15:25:12 - mmengine - INFO - Epoch(val) [280][35/500] eta: 0:00:25 time: 0.0494 data_time: 0.0031 memory: 1013 2022/11/02 15:25:12 - mmengine - INFO - Epoch(val) [280][40/500] eta: 0:00:23 time: 0.0504 data_time: 0.0030 memory: 1013 2022/11/02 15:25:12 - mmengine - INFO - Epoch(val) [280][45/500] eta: 0:00:23 time: 0.0551 data_time: 0.0029 memory: 1013 2022/11/02 15:25:12 - mmengine - INFO - Epoch(val) [280][50/500] eta: 0:00:22 time: 0.0496 data_time: 0.0029 memory: 1013 2022/11/02 15:25:13 - mmengine - INFO - Epoch(val) [280][55/500] eta: 0:00:22 time: 0.0456 data_time: 0.0025 memory: 1013 2022/11/02 15:25:13 - mmengine - INFO - Epoch(val) [280][60/500] eta: 0:00:19 time: 0.0433 data_time: 0.0026 memory: 1013 2022/11/02 15:25:13 - mmengine - INFO - Epoch(val) [280][65/500] eta: 0:00:19 time: 0.0459 data_time: 0.0026 memory: 1013 2022/11/02 15:25:13 - mmengine - INFO - Epoch(val) [280][70/500] eta: 0:00:20 time: 0.0482 data_time: 0.0026 memory: 1013 2022/11/02 15:25:14 - mmengine - INFO - Epoch(val) [280][75/500] eta: 0:00:20 time: 0.0446 data_time: 0.0026 memory: 1013 2022/11/02 15:25:14 - mmengine - INFO - Epoch(val) [280][80/500] eta: 0:00:18 time: 0.0438 data_time: 0.0033 memory: 1013 2022/11/02 15:25:14 - mmengine - INFO - Epoch(val) [280][85/500] eta: 0:00:18 time: 0.0438 data_time: 0.0034 memory: 1013 2022/11/02 15:25:14 - mmengine - INFO - Epoch(val) [280][90/500] eta: 0:00:18 time: 0.0443 data_time: 0.0027 memory: 1013 2022/11/02 15:25:15 - mmengine - INFO - Epoch(val) [280][95/500] eta: 0:00:18 time: 0.0480 data_time: 0.0025 memory: 1013 2022/11/02 15:25:15 - mmengine - INFO - Epoch(val) [280][100/500] eta: 0:00:17 time: 0.0436 data_time: 0.0026 memory: 1013 2022/11/02 15:25:15 - mmengine - INFO - Epoch(val) [280][105/500] eta: 0:00:17 time: 0.0414 data_time: 0.0026 memory: 1013 2022/11/02 15:25:15 - mmengine - INFO - Epoch(val) [280][110/500] eta: 0:00:16 time: 0.0416 data_time: 0.0024 memory: 1013 2022/11/02 15:25:15 - mmengine - INFO - Epoch(val) [280][115/500] eta: 0:00:16 time: 0.0418 data_time: 0.0023 memory: 1013 2022/11/02 15:25:16 - mmengine - INFO - Epoch(val) [280][120/500] eta: 0:00:16 time: 0.0433 data_time: 0.0023 memory: 1013 2022/11/02 15:25:16 - mmengine - INFO - Epoch(val) [280][125/500] eta: 0:00:16 time: 0.0410 data_time: 0.0022 memory: 1013 2022/11/02 15:25:16 - mmengine - INFO - Epoch(val) [280][130/500] eta: 0:00:16 time: 0.0432 data_time: 0.0023 memory: 1013 2022/11/02 15:25:16 - mmengine - INFO - Epoch(val) [280][135/500] eta: 0:00:16 time: 0.0464 data_time: 0.0028 memory: 1013 2022/11/02 15:25:17 - mmengine - INFO - Epoch(val) [280][140/500] eta: 0:00:17 time: 0.0498 data_time: 0.0032 memory: 1013 2022/11/02 15:25:17 - mmengine - INFO - Epoch(val) [280][145/500] eta: 0:00:17 time: 0.0484 data_time: 0.0031 memory: 1013 2022/11/02 15:25:17 - mmengine - INFO - Epoch(val) [280][150/500] eta: 0:00:15 time: 0.0453 data_time: 0.0029 memory: 1013 2022/11/02 15:25:17 - mmengine - INFO - Epoch(val) [280][155/500] eta: 0:00:15 time: 0.0490 data_time: 0.0029 memory: 1013 2022/11/02 15:25:17 - mmengine - INFO - Epoch(val) [280][160/500] eta: 0:00:17 time: 0.0508 data_time: 0.0030 memory: 1013 2022/11/02 15:25:18 - mmengine - INFO - Epoch(val) [280][165/500] eta: 0:00:17 time: 0.0521 data_time: 0.0034 memory: 1013 2022/11/02 15:25:18 - mmengine - INFO - Epoch(val) [280][170/500] eta: 0:00:18 time: 0.0556 data_time: 0.0035 memory: 1013 2022/11/02 15:25:18 - mmengine - INFO - Epoch(val) [280][175/500] eta: 0:00:18 time: 0.0491 data_time: 0.0031 memory: 1013 2022/11/02 15:25:18 - mmengine - INFO - Epoch(val) [280][180/500] eta: 0:00:13 time: 0.0434 data_time: 0.0026 memory: 1013 2022/11/02 15:25:19 - mmengine - INFO - Epoch(val) [280][185/500] eta: 0:00:13 time: 0.0507 data_time: 0.0030 memory: 1013 2022/11/02 15:25:19 - mmengine - INFO - Epoch(val) [280][190/500] eta: 0:00:17 time: 0.0553 data_time: 0.0033 memory: 1013 2022/11/02 15:25:19 - mmengine - INFO - Epoch(val) [280][195/500] eta: 0:00:17 time: 0.0532 data_time: 0.0033 memory: 1013 2022/11/02 15:25:20 - mmengine - INFO - Epoch(val) [280][200/500] eta: 0:00:18 time: 0.0609 data_time: 0.0033 memory: 1013 2022/11/02 15:25:20 - mmengine - INFO - Epoch(val) [280][205/500] eta: 0:00:18 time: 0.0558 data_time: 0.0029 memory: 1013 2022/11/02 15:25:20 - mmengine - INFO - Epoch(val) [280][210/500] eta: 0:00:12 time: 0.0422 data_time: 0.0027 memory: 1013 2022/11/02 15:25:20 - mmengine - INFO - Epoch(val) [280][215/500] eta: 0:00:12 time: 0.0489 data_time: 0.0030 memory: 1013 2022/11/02 15:25:21 - mmengine - INFO - Epoch(val) [280][220/500] eta: 0:00:14 time: 0.0531 data_time: 0.0034 memory: 1013 2022/11/02 15:25:21 - mmengine - INFO - Epoch(val) [280][225/500] eta: 0:00:14 time: 0.0521 data_time: 0.0033 memory: 1013 2022/11/02 15:25:21 - mmengine - INFO - Epoch(val) [280][230/500] eta: 0:00:13 time: 0.0488 data_time: 0.0032 memory: 1013 2022/11/02 15:25:21 - mmengine - INFO - Epoch(val) [280][235/500] eta: 0:00:13 time: 0.0456 data_time: 0.0031 memory: 1013 2022/11/02 15:25:22 - mmengine - INFO - Epoch(val) [280][240/500] eta: 0:00:12 time: 0.0490 data_time: 0.0028 memory: 1013 2022/11/02 15:25:22 - mmengine - INFO - Epoch(val) [280][245/500] eta: 0:00:12 time: 0.0507 data_time: 0.0033 memory: 1013 2022/11/02 15:25:22 - mmengine - INFO - Epoch(val) [280][250/500] eta: 0:00:12 time: 0.0497 data_time: 0.0033 memory: 1013 2022/11/02 15:25:22 - mmengine - INFO - Epoch(val) [280][255/500] eta: 0:00:12 time: 0.0485 data_time: 0.0032 memory: 1013 2022/11/02 15:25:22 - mmengine - INFO - Epoch(val) [280][260/500] eta: 0:00:10 time: 0.0445 data_time: 0.0030 memory: 1013 2022/11/02 15:25:23 - mmengine - INFO - Epoch(val) [280][265/500] eta: 0:00:10 time: 0.0452 data_time: 0.0028 memory: 1013 2022/11/02 15:25:24 - mmengine - INFO - Epoch(val) [280][270/500] eta: 0:00:25 time: 0.1106 data_time: 0.0641 memory: 1013 2022/11/02 15:25:24 - mmengine - INFO - Epoch(val) [280][275/500] eta: 0:00:25 time: 0.1076 data_time: 0.0639 memory: 1013 2022/11/02 15:25:24 - mmengine - INFO - Epoch(val) [280][280/500] eta: 0:00:10 time: 0.0482 data_time: 0.0030 memory: 1013 2022/11/02 15:25:24 - mmengine - INFO - Epoch(val) [280][285/500] eta: 0:00:10 time: 0.0485 data_time: 0.0032 memory: 1013 2022/11/02 15:25:25 - mmengine - INFO - Epoch(val) [280][290/500] eta: 0:00:09 time: 0.0448 data_time: 0.0026 memory: 1013 2022/11/02 15:25:25 - mmengine - INFO - Epoch(val) [280][295/500] eta: 0:00:09 time: 0.0510 data_time: 0.0032 memory: 1013 2022/11/02 15:25:25 - mmengine - INFO - Epoch(val) [280][300/500] eta: 0:00:09 time: 0.0491 data_time: 0.0032 memory: 1013 2022/11/02 15:25:25 - mmengine - INFO - Epoch(val) [280][305/500] eta: 0:00:09 time: 0.0444 data_time: 0.0025 memory: 1013 2022/11/02 15:25:25 - mmengine - INFO - Epoch(val) [280][310/500] eta: 0:00:08 time: 0.0461 data_time: 0.0026 memory: 1013 2022/11/02 15:25:26 - mmengine - INFO - Epoch(val) [280][315/500] eta: 0:00:08 time: 0.0478 data_time: 0.0028 memory: 1013 2022/11/02 15:25:26 - mmengine - INFO - Epoch(val) [280][320/500] eta: 0:00:09 time: 0.0501 data_time: 0.0031 memory: 1013 2022/11/02 15:25:26 - mmengine - INFO - Epoch(val) [280][325/500] eta: 0:00:09 time: 0.0693 data_time: 0.0030 memory: 1013 2022/11/02 15:25:27 - mmengine - INFO - Epoch(val) [280][330/500] eta: 0:00:11 time: 0.0675 data_time: 0.0032 memory: 1013 2022/11/02 15:25:27 - mmengine - INFO - Epoch(val) [280][335/500] eta: 0:00:11 time: 0.0485 data_time: 0.0035 memory: 1013 2022/11/02 15:25:27 - mmengine - INFO - Epoch(val) [280][340/500] eta: 0:00:09 time: 0.0621 data_time: 0.0037 memory: 1013 2022/11/02 15:25:28 - mmengine - INFO - Epoch(val) [280][345/500] eta: 0:00:09 time: 0.0616 data_time: 0.0035 memory: 1013 2022/11/02 15:25:28 - mmengine - INFO - Epoch(val) [280][350/500] eta: 0:00:07 time: 0.0508 data_time: 0.0031 memory: 1013 2022/11/02 15:25:28 - mmengine - INFO - Epoch(val) [280][355/500] eta: 0:00:07 time: 0.0480 data_time: 0.0030 memory: 1013 2022/11/02 15:25:28 - mmengine - INFO - Epoch(val) [280][360/500] eta: 0:00:06 time: 0.0480 data_time: 0.0033 memory: 1013 2022/11/02 15:25:29 - mmengine - INFO - Epoch(val) [280][365/500] eta: 0:00:06 time: 0.0503 data_time: 0.0035 memory: 1013 2022/11/02 15:25:29 - mmengine - INFO - Epoch(val) [280][370/500] eta: 0:00:05 time: 0.0460 data_time: 0.0032 memory: 1013 2022/11/02 15:25:29 - mmengine - INFO - Epoch(val) [280][375/500] eta: 0:00:05 time: 0.0561 data_time: 0.0060 memory: 1013 2022/11/02 15:25:29 - mmengine - INFO - Epoch(val) [280][380/500] eta: 0:00:07 time: 0.0659 data_time: 0.0064 memory: 1013 2022/11/02 15:25:30 - mmengine - INFO - Epoch(val) [280][385/500] eta: 0:00:07 time: 0.0615 data_time: 0.0037 memory: 1013 2022/11/02 15:25:30 - mmengine - INFO - Epoch(val) [280][390/500] eta: 0:00:06 time: 0.0598 data_time: 0.0034 memory: 1013 2022/11/02 15:25:30 - mmengine - INFO - Epoch(val) [280][395/500] eta: 0:00:06 time: 0.0535 data_time: 0.0033 memory: 1013 2022/11/02 15:25:30 - mmengine - INFO - Epoch(val) [280][400/500] eta: 0:00:04 time: 0.0458 data_time: 0.0030 memory: 1013 2022/11/02 15:25:31 - mmengine - INFO - Epoch(val) [280][405/500] eta: 0:00:04 time: 0.0462 data_time: 0.0032 memory: 1013 2022/11/02 15:25:31 - mmengine - INFO - Epoch(val) [280][410/500] eta: 0:00:04 time: 0.0543 data_time: 0.0048 memory: 1013 2022/11/02 15:25:31 - mmengine - INFO - Epoch(val) [280][415/500] eta: 0:00:04 time: 0.0544 data_time: 0.0048 memory: 1013 2022/11/02 15:25:31 - mmengine - INFO - Epoch(val) [280][420/500] eta: 0:00:03 time: 0.0451 data_time: 0.0030 memory: 1013 2022/11/02 15:25:32 - mmengine - INFO - Epoch(val) [280][425/500] eta: 0:00:03 time: 0.0464 data_time: 0.0029 memory: 1013 2022/11/02 15:25:32 - mmengine - INFO - Epoch(val) [280][430/500] eta: 0:00:03 time: 0.0472 data_time: 0.0031 memory: 1013 2022/11/02 15:25:32 - mmengine - INFO - Epoch(val) [280][435/500] eta: 0:00:03 time: 0.0454 data_time: 0.0029 memory: 1013 2022/11/02 15:25:32 - mmengine - INFO - Epoch(val) [280][440/500] eta: 0:00:02 time: 0.0455 data_time: 0.0027 memory: 1013 2022/11/02 15:25:33 - mmengine - INFO - Epoch(val) [280][445/500] eta: 0:00:02 time: 0.0469 data_time: 0.0027 memory: 1013 2022/11/02 15:25:33 - mmengine - INFO - Epoch(val) [280][450/500] eta: 0:00:02 time: 0.0496 data_time: 0.0029 memory: 1013 2022/11/02 15:25:33 - mmengine - INFO - Epoch(val) [280][455/500] eta: 0:00:02 time: 0.0523 data_time: 0.0034 memory: 1013 2022/11/02 15:25:33 - mmengine - INFO - Epoch(val) [280][460/500] eta: 0:00:01 time: 0.0490 data_time: 0.0036 memory: 1013 2022/11/02 15:25:34 - mmengine - INFO - Epoch(val) [280][465/500] eta: 0:00:01 time: 0.0441 data_time: 0.0033 memory: 1013 2022/11/02 15:25:34 - mmengine - INFO - Epoch(val) [280][470/500] eta: 0:00:01 time: 0.0454 data_time: 0.0032 memory: 1013 2022/11/02 15:25:34 - mmengine - INFO - Epoch(val) [280][475/500] eta: 0:00:01 time: 0.0456 data_time: 0.0029 memory: 1013 2022/11/02 15:25:34 - mmengine - INFO - Epoch(val) [280][480/500] eta: 0:00:00 time: 0.0462 data_time: 0.0027 memory: 1013 2022/11/02 15:25:35 - mmengine - INFO - Epoch(val) [280][485/500] eta: 0:00:00 time: 0.0463 data_time: 0.0032 memory: 1013 2022/11/02 15:25:35 - mmengine - INFO - Epoch(val) [280][490/500] eta: 0:00:00 time: 0.0478 data_time: 0.0030 memory: 1013 2022/11/02 15:25:35 - mmengine - INFO - Epoch(val) [280][495/500] eta: 0:00:00 time: 0.0538 data_time: 0.0033 memory: 1013 2022/11/02 15:25:35 - mmengine - INFO - Epoch(val) [280][500/500] eta: 0:00:00 time: 0.0500 data_time: 0.0033 memory: 1013 2022/11/02 15:25:35 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 15:25:35 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8161, precision: 0.5998, hmean: 0.6914 2022/11/02 15:25:35 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8161, precision: 0.7347, hmean: 0.7733 2022/11/02 15:25:35 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8084, precision: 0.8135, hmean: 0.8109 2022/11/02 15:25:35 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7867, precision: 0.8664, hmean: 0.8246 2022/11/02 15:25:35 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7222, precision: 0.9113, hmean: 0.8058 2022/11/02 15:25:35 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3837, precision: 0.9579, hmean: 0.5480 2022/11/02 15:25:35 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0029, precision: 0.7500, hmean: 0.0058 2022/11/02 15:25:35 - mmengine - INFO - Epoch(val) [280][500/500] icdar/precision: 0.8664 icdar/recall: 0.7867 icdar/hmean: 0.8246 2022/11/02 15:25:41 - mmengine - INFO - Epoch(train) [281][5/63] lr: 1.7026e-03 eta: 0:00:00 time: 0.8432 data_time: 0.2329 memory: 16395 loss: 2.0050 loss_prob: 1.2157 loss_thr: 0.5930 loss_db: 0.1962 2022/11/02 15:25:44 - mmengine - INFO - Epoch(train) [281][10/63] lr: 1.7026e-03 eta: 10:18:22 time: 0.8929 data_time: 0.2431 memory: 16395 loss: 1.9460 loss_prob: 1.1640 loss_thr: 0.5961 loss_db: 0.1859 2022/11/02 15:25:48 - mmengine - INFO - Epoch(train) [281][15/63] lr: 1.7026e-03 eta: 10:18:22 time: 0.6747 data_time: 0.0274 memory: 16395 loss: 1.8395 loss_prob: 1.0615 loss_thr: 0.6096 loss_db: 0.1684 2022/11/02 15:25:51 - mmengine - INFO - Epoch(train) [281][20/63] lr: 1.7026e-03 eta: 10:18:17 time: 0.6742 data_time: 0.0121 memory: 16395 loss: 1.9910 loss_prob: 1.1582 loss_thr: 0.6459 loss_db: 0.1869 2022/11/02 15:25:55 - mmengine - INFO - Epoch(train) [281][25/63] lr: 1.7026e-03 eta: 10:18:17 time: 0.6963 data_time: 0.0269 memory: 16395 loss: 2.1525 loss_prob: 1.2859 loss_thr: 0.6599 loss_db: 0.2067 2022/11/02 15:25:58 - mmengine - INFO - Epoch(train) [281][30/63] lr: 1.7026e-03 eta: 10:18:13 time: 0.7120 data_time: 0.0308 memory: 16395 loss: 2.0137 loss_prob: 1.2056 loss_thr: 0.6163 loss_db: 0.1918 2022/11/02 15:26:02 - mmengine - INFO - Epoch(train) [281][35/63] lr: 1.7026e-03 eta: 10:18:13 time: 0.7063 data_time: 0.0266 memory: 16395 loss: 1.8799 loss_prob: 1.0921 loss_thr: 0.6109 loss_db: 0.1770 2022/11/02 15:26:05 - mmengine - INFO - Epoch(train) [281][40/63] lr: 1.7026e-03 eta: 10:18:07 time: 0.6741 data_time: 0.0287 memory: 16395 loss: 1.9085 loss_prob: 1.1134 loss_thr: 0.6135 loss_db: 0.1816 2022/11/02 15:26:08 - mmengine - INFO - Epoch(train) [281][45/63] lr: 1.7026e-03 eta: 10:18:07 time: 0.6717 data_time: 0.0137 memory: 16395 loss: 1.9472 loss_prob: 1.1505 loss_thr: 0.6067 loss_db: 0.1899 2022/11/02 15:26:12 - mmengine - INFO - Epoch(train) [281][50/63] lr: 1.7026e-03 eta: 10:18:02 time: 0.6834 data_time: 0.0160 memory: 16395 loss: 2.0861 loss_prob: 1.2492 loss_thr: 0.6325 loss_db: 0.2043 2022/11/02 15:26:15 - mmengine - INFO - Epoch(train) [281][55/63] lr: 1.7026e-03 eta: 10:18:02 time: 0.6619 data_time: 0.0272 memory: 16395 loss: 2.1752 loss_prob: 1.3298 loss_thr: 0.6363 loss_db: 0.2090 2022/11/02 15:26:18 - mmengine - INFO - Epoch(train) [281][60/63] lr: 1.7026e-03 eta: 10:17:56 time: 0.6415 data_time: 0.0196 memory: 16395 loss: 2.2215 loss_prob: 1.3515 loss_thr: 0.6491 loss_db: 0.2209 2022/11/02 15:26:19 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:26:25 - mmengine - INFO - Epoch(train) [282][5/63] lr: 1.7010e-03 eta: 10:17:56 time: 0.8338 data_time: 0.2879 memory: 16395 loss: 2.3074 loss_prob: 1.4338 loss_thr: 0.6415 loss_db: 0.2321 2022/11/02 15:26:29 - mmengine - INFO - Epoch(train) [282][10/63] lr: 1.7010e-03 eta: 10:17:50 time: 0.9123 data_time: 0.2870 memory: 16395 loss: 2.3382 loss_prob: 1.4534 loss_thr: 0.6454 loss_db: 0.2394 2022/11/02 15:26:32 - mmengine - INFO - Epoch(train) [282][15/63] lr: 1.7010e-03 eta: 10:17:50 time: 0.6640 data_time: 0.0136 memory: 16395 loss: 2.4522 loss_prob: 1.5388 loss_thr: 0.6645 loss_db: 0.2489 2022/11/02 15:26:36 - mmengine - INFO - Epoch(train) [282][20/63] lr: 1.7010e-03 eta: 10:17:46 time: 0.7076 data_time: 0.0166 memory: 16395 loss: 2.4718 loss_prob: 1.5542 loss_thr: 0.6654 loss_db: 0.2522 2022/11/02 15:26:39 - mmengine - INFO - Epoch(train) [282][25/63] lr: 1.7010e-03 eta: 10:17:46 time: 0.7145 data_time: 0.0483 memory: 16395 loss: 2.3329 loss_prob: 1.4231 loss_thr: 0.6665 loss_db: 0.2434 2022/11/02 15:26:43 - mmengine - INFO - Epoch(train) [282][30/63] lr: 1.7010e-03 eta: 10:17:42 time: 0.7048 data_time: 0.0497 memory: 16395 loss: 2.3409 loss_prob: 1.4345 loss_thr: 0.6606 loss_db: 0.2459 2022/11/02 15:26:47 - mmengine - INFO - Epoch(train) [282][35/63] lr: 1.7010e-03 eta: 10:17:42 time: 0.8164 data_time: 0.0134 memory: 16395 loss: 2.2399 loss_prob: 1.3566 loss_thr: 0.6603 loss_db: 0.2230 2022/11/02 15:26:51 - mmengine - INFO - Epoch(train) [282][40/63] lr: 1.7010e-03 eta: 10:17:41 time: 0.8028 data_time: 0.0111 memory: 16395 loss: 2.0658 loss_prob: 1.2384 loss_thr: 0.6289 loss_db: 0.1985 2022/11/02 15:26:53 - mmengine - INFO - Epoch(train) [282][45/63] lr: 1.7010e-03 eta: 10:17:41 time: 0.6125 data_time: 0.0091 memory: 16395 loss: 2.0639 loss_prob: 1.2535 loss_thr: 0.6102 loss_db: 0.2001 2022/11/02 15:26:57 - mmengine - INFO - Epoch(train) [282][50/63] lr: 1.7010e-03 eta: 10:17:33 time: 0.6074 data_time: 0.0234 memory: 16395 loss: 1.9530 loss_prob: 1.1574 loss_thr: 0.6083 loss_db: 0.1873 2022/11/02 15:27:00 - mmengine - INFO - Epoch(train) [282][55/63] lr: 1.7010e-03 eta: 10:17:33 time: 0.6947 data_time: 0.0283 memory: 16395 loss: 1.9043 loss_prob: 1.1226 loss_thr: 0.6013 loss_db: 0.1804 2022/11/02 15:27:04 - mmengine - INFO - Epoch(train) [282][60/63] lr: 1.7010e-03 eta: 10:17:28 time: 0.6895 data_time: 0.0179 memory: 16395 loss: 2.0091 loss_prob: 1.1967 loss_thr: 0.6207 loss_db: 0.1917 2022/11/02 15:27:05 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:27:12 - mmengine - INFO - Epoch(train) [283][5/63] lr: 1.6993e-03 eta: 10:17:28 time: 0.9988 data_time: 0.2684 memory: 16395 loss: 1.9943 loss_prob: 1.1873 loss_thr: 0.6144 loss_db: 0.1926 2022/11/02 15:27:15 - mmengine - INFO - Epoch(train) [283][10/63] lr: 1.6993e-03 eta: 10:17:25 time: 0.9891 data_time: 0.2708 memory: 16395 loss: 1.9381 loss_prob: 1.1242 loss_thr: 0.6353 loss_db: 0.1787 2022/11/02 15:27:18 - mmengine - INFO - Epoch(train) [283][15/63] lr: 1.6993e-03 eta: 10:17:25 time: 0.5959 data_time: 0.0138 memory: 16395 loss: 2.0069 loss_prob: 1.1775 loss_thr: 0.6409 loss_db: 0.1885 2022/11/02 15:27:21 - mmengine - INFO - Epoch(train) [283][20/63] lr: 1.6993e-03 eta: 10:17:17 time: 0.5929 data_time: 0.0125 memory: 16395 loss: 2.1029 loss_prob: 1.2885 loss_thr: 0.6043 loss_db: 0.2102 2022/11/02 15:27:24 - mmengine - INFO - Epoch(train) [283][25/63] lr: 1.6993e-03 eta: 10:17:17 time: 0.6400 data_time: 0.0319 memory: 16395 loss: 2.0015 loss_prob: 1.2189 loss_thr: 0.5878 loss_db: 0.1948 2022/11/02 15:27:28 - mmengine - INFO - Epoch(train) [283][30/63] lr: 1.6993e-03 eta: 10:17:11 time: 0.6460 data_time: 0.0478 memory: 16395 loss: 1.9876 loss_prob: 1.1919 loss_thr: 0.6051 loss_db: 0.1906 2022/11/02 15:27:31 - mmengine - INFO - Epoch(train) [283][35/63] lr: 1.6993e-03 eta: 10:17:11 time: 0.6540 data_time: 0.0278 memory: 16395 loss: 1.9888 loss_prob: 1.1887 loss_thr: 0.6077 loss_db: 0.1925 2022/11/02 15:27:34 - mmengine - INFO - Epoch(train) [283][40/63] lr: 1.6993e-03 eta: 10:17:04 time: 0.6290 data_time: 0.0084 memory: 16395 loss: 1.9780 loss_prob: 1.1716 loss_thr: 0.6171 loss_db: 0.1893 2022/11/02 15:27:37 - mmengine - INFO - Epoch(train) [283][45/63] lr: 1.6993e-03 eta: 10:17:04 time: 0.5698 data_time: 0.0062 memory: 16395 loss: 2.0932 loss_prob: 1.2594 loss_thr: 0.6335 loss_db: 0.2002 2022/11/02 15:27:40 - mmengine - INFO - Epoch(train) [283][50/63] lr: 1.6993e-03 eta: 10:16:57 time: 0.6261 data_time: 0.0254 memory: 16395 loss: 2.0788 loss_prob: 1.2440 loss_thr: 0.6376 loss_db: 0.1972 2022/11/02 15:27:43 - mmengine - INFO - Epoch(train) [283][55/63] lr: 1.6993e-03 eta: 10:16:57 time: 0.6305 data_time: 0.0295 memory: 16395 loss: 2.1558 loss_prob: 1.2835 loss_thr: 0.6616 loss_db: 0.2107 2022/11/02 15:27:46 - mmengine - INFO - Epoch(train) [283][60/63] lr: 1.6993e-03 eta: 10:16:48 time: 0.5635 data_time: 0.0132 memory: 16395 loss: 2.2461 loss_prob: 1.3677 loss_thr: 0.6532 loss_db: 0.2253 2022/11/02 15:27:48 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:27:55 - mmengine - INFO - Epoch(train) [284][5/63] lr: 1.6976e-03 eta: 10:16:48 time: 1.0005 data_time: 0.2402 memory: 16395 loss: 2.3226 loss_prob: 1.4380 loss_thr: 0.6525 loss_db: 0.2321 2022/11/02 15:27:58 - mmengine - INFO - Epoch(train) [284][10/63] lr: 1.6976e-03 eta: 10:16:45 time: 0.9909 data_time: 0.2424 memory: 16395 loss: 2.1964 loss_prob: 1.3206 loss_thr: 0.6616 loss_db: 0.2142 2022/11/02 15:28:01 - mmengine - INFO - Epoch(train) [284][15/63] lr: 1.6976e-03 eta: 10:16:45 time: 0.6818 data_time: 0.0482 memory: 16395 loss: 2.2039 loss_prob: 1.3421 loss_thr: 0.6413 loss_db: 0.2205 2022/11/02 15:28:05 - mmengine - INFO - Epoch(train) [284][20/63] lr: 1.6976e-03 eta: 10:16:43 time: 0.7682 data_time: 0.0450 memory: 16395 loss: 2.1606 loss_prob: 1.3219 loss_thr: 0.6264 loss_db: 0.2123 2022/11/02 15:28:09 - mmengine - INFO - Epoch(train) [284][25/63] lr: 1.6976e-03 eta: 10:16:43 time: 0.7616 data_time: 0.0092 memory: 16395 loss: 1.9656 loss_prob: 1.1672 loss_thr: 0.6120 loss_db: 0.1864 2022/11/02 15:28:12 - mmengine - INFO - Epoch(train) [284][30/63] lr: 1.6976e-03 eta: 10:16:38 time: 0.6792 data_time: 0.0221 memory: 16395 loss: 2.0483 loss_prob: 1.2167 loss_thr: 0.6306 loss_db: 0.2010 2022/11/02 15:28:15 - mmengine - INFO - Epoch(train) [284][35/63] lr: 1.6976e-03 eta: 10:16:38 time: 0.6242 data_time: 0.0189 memory: 16395 loss: 2.2402 loss_prob: 1.3437 loss_thr: 0.6776 loss_db: 0.2188 2022/11/02 15:28:18 - mmengine - INFO - Epoch(train) [284][40/63] lr: 1.6976e-03 eta: 10:16:30 time: 0.5953 data_time: 0.0193 memory: 16395 loss: 2.1197 loss_prob: 1.2695 loss_thr: 0.6486 loss_db: 0.2016 2022/11/02 15:28:21 - mmengine - INFO - Epoch(train) [284][45/63] lr: 1.6976e-03 eta: 10:16:30 time: 0.5671 data_time: 0.0196 memory: 16395 loss: 1.9980 loss_prob: 1.1890 loss_thr: 0.6195 loss_db: 0.1895 2022/11/02 15:28:24 - mmengine - INFO - Epoch(train) [284][50/63] lr: 1.6976e-03 eta: 10:16:22 time: 0.5993 data_time: 0.0059 memory: 16395 loss: 2.0883 loss_prob: 1.2511 loss_thr: 0.6353 loss_db: 0.2019 2022/11/02 15:28:27 - mmengine - INFO - Epoch(train) [284][55/63] lr: 1.6976e-03 eta: 10:16:22 time: 0.6255 data_time: 0.0212 memory: 16395 loss: 2.0457 loss_prob: 1.2179 loss_thr: 0.6301 loss_db: 0.1977 2022/11/02 15:28:30 - mmengine - INFO - Epoch(train) [284][60/63] lr: 1.6976e-03 eta: 10:16:14 time: 0.5794 data_time: 0.0235 memory: 16395 loss: 1.9838 loss_prob: 1.1803 loss_thr: 0.6129 loss_db: 0.1906 2022/11/02 15:28:32 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:28:39 - mmengine - INFO - Epoch(train) [285][5/63] lr: 1.6960e-03 eta: 10:16:14 time: 0.9932 data_time: 0.2510 memory: 16395 loss: 2.1330 loss_prob: 1.2955 loss_thr: 0.6317 loss_db: 0.2058 2022/11/02 15:28:43 - mmengine - INFO - Epoch(train) [285][10/63] lr: 1.6960e-03 eta: 10:16:15 time: 1.1399 data_time: 0.2515 memory: 16395 loss: 2.1458 loss_prob: 1.3104 loss_thr: 0.6277 loss_db: 0.2077 2022/11/02 15:28:46 - mmengine - INFO - Epoch(train) [285][15/63] lr: 1.6960e-03 eta: 10:16:15 time: 0.7372 data_time: 0.0137 memory: 16395 loss: 2.0430 loss_prob: 1.2185 loss_thr: 0.6250 loss_db: 0.1996 2022/11/02 15:28:49 - mmengine - INFO - Epoch(train) [285][20/63] lr: 1.6960e-03 eta: 10:16:08 time: 0.6066 data_time: 0.0114 memory: 16395 loss: 1.9373 loss_prob: 1.1337 loss_thr: 0.6201 loss_db: 0.1835 2022/11/02 15:28:53 - mmengine - INFO - Epoch(train) [285][25/63] lr: 1.6960e-03 eta: 10:16:08 time: 0.6434 data_time: 0.0217 memory: 16395 loss: 1.8790 loss_prob: 1.1012 loss_thr: 0.6036 loss_db: 0.1742 2022/11/02 15:28:56 - mmengine - INFO - Epoch(train) [285][30/63] lr: 1.6960e-03 eta: 10:16:02 time: 0.6641 data_time: 0.0310 memory: 16395 loss: 1.9306 loss_prob: 1.1348 loss_thr: 0.6113 loss_db: 0.1845 2022/11/02 15:28:59 - mmengine - INFO - Epoch(train) [285][35/63] lr: 1.6960e-03 eta: 10:16:02 time: 0.6706 data_time: 0.0244 memory: 16395 loss: 2.0099 loss_prob: 1.1820 loss_thr: 0.6343 loss_db: 0.1936 2022/11/02 15:29:02 - mmengine - INFO - Epoch(train) [285][40/63] lr: 1.6960e-03 eta: 10:15:55 time: 0.6253 data_time: 0.0121 memory: 16395 loss: 2.1073 loss_prob: 1.2542 loss_thr: 0.6490 loss_db: 0.2041 2022/11/02 15:29:05 - mmengine - INFO - Epoch(train) [285][45/63] lr: 1.6960e-03 eta: 10:15:55 time: 0.5831 data_time: 0.0090 memory: 16395 loss: 2.0218 loss_prob: 1.1952 loss_thr: 0.6325 loss_db: 0.1940 2022/11/02 15:29:08 - mmengine - INFO - Epoch(train) [285][50/63] lr: 1.6960e-03 eta: 10:15:47 time: 0.5968 data_time: 0.0161 memory: 16395 loss: 1.9842 loss_prob: 1.1740 loss_thr: 0.6222 loss_db: 0.1880 2022/11/02 15:29:11 - mmengine - INFO - Epoch(train) [285][55/63] lr: 1.6960e-03 eta: 10:15:47 time: 0.5778 data_time: 0.0207 memory: 16395 loss: 2.0050 loss_prob: 1.1941 loss_thr: 0.6228 loss_db: 0.1881 2022/11/02 15:29:15 - mmengine - INFO - Epoch(train) [285][60/63] lr: 1.6960e-03 eta: 10:15:41 time: 0.6342 data_time: 0.0177 memory: 16395 loss: 2.2300 loss_prob: 1.3781 loss_thr: 0.6333 loss_db: 0.2187 2022/11/02 15:29:16 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:29:23 - mmengine - INFO - Epoch(train) [286][5/63] lr: 1.6943e-03 eta: 10:15:41 time: 0.9930 data_time: 0.2669 memory: 16395 loss: 1.9881 loss_prob: 1.2003 loss_thr: 0.5980 loss_db: 0.1897 2022/11/02 15:29:26 - mmengine - INFO - Epoch(train) [286][10/63] lr: 1.6943e-03 eta: 10:15:39 time: 1.0291 data_time: 0.2682 memory: 16395 loss: 1.8349 loss_prob: 1.0540 loss_thr: 0.6119 loss_db: 0.1691 2022/11/02 15:29:31 - mmengine - INFO - Epoch(train) [286][15/63] lr: 1.6943e-03 eta: 10:15:39 time: 0.7765 data_time: 0.0098 memory: 16395 loss: 2.0124 loss_prob: 1.1902 loss_thr: 0.6297 loss_db: 0.1925 2022/11/02 15:29:34 - mmengine - INFO - Epoch(train) [286][20/63] lr: 1.6943e-03 eta: 10:15:35 time: 0.7320 data_time: 0.0089 memory: 16395 loss: 2.0046 loss_prob: 1.2070 loss_thr: 0.6026 loss_db: 0.1950 2022/11/02 15:29:37 - mmengine - INFO - Epoch(train) [286][25/63] lr: 1.6943e-03 eta: 10:15:35 time: 0.6113 data_time: 0.0130 memory: 16395 loss: 1.9871 loss_prob: 1.1863 loss_thr: 0.6069 loss_db: 0.1938 2022/11/02 15:29:40 - mmengine - INFO - Epoch(train) [286][30/63] lr: 1.6943e-03 eta: 10:15:29 time: 0.6608 data_time: 0.0374 memory: 16395 loss: 2.0934 loss_prob: 1.2653 loss_thr: 0.6243 loss_db: 0.2037 2022/11/02 15:29:43 - mmengine - INFO - Epoch(train) [286][35/63] lr: 1.6943e-03 eta: 10:15:29 time: 0.6427 data_time: 0.0397 memory: 16395 loss: 2.0690 loss_prob: 1.2618 loss_thr: 0.6060 loss_db: 0.2012 2022/11/02 15:29:46 - mmengine - INFO - Epoch(train) [286][40/63] lr: 1.6943e-03 eta: 10:15:21 time: 0.5830 data_time: 0.0151 memory: 16395 loss: 2.0354 loss_prob: 1.2231 loss_thr: 0.6114 loss_db: 0.2008 2022/11/02 15:29:49 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:29:49 - mmengine - INFO - Epoch(train) [286][45/63] lr: 1.6943e-03 eta: 10:15:21 time: 0.5648 data_time: 0.0051 memory: 16395 loss: 2.1914 loss_prob: 1.3328 loss_thr: 0.6385 loss_db: 0.2201 2022/11/02 15:29:52 - mmengine - INFO - Epoch(train) [286][50/63] lr: 1.6943e-03 eta: 10:15:13 time: 0.5856 data_time: 0.0277 memory: 16395 loss: 2.4137 loss_prob: 1.5339 loss_thr: 0.6336 loss_db: 0.2462 2022/11/02 15:29:55 - mmengine - INFO - Epoch(train) [286][55/63] lr: 1.6943e-03 eta: 10:15:13 time: 0.5834 data_time: 0.0336 memory: 16395 loss: 2.5011 loss_prob: 1.6081 loss_thr: 0.6393 loss_db: 0.2537 2022/11/02 15:29:59 - mmengine - INFO - Epoch(train) [286][60/63] lr: 1.6943e-03 eta: 10:15:09 time: 0.7013 data_time: 0.0107 memory: 16395 loss: 2.3149 loss_prob: 1.4438 loss_thr: 0.6426 loss_db: 0.2284 2022/11/02 15:30:00 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:30:08 - mmengine - INFO - Epoch(train) [287][5/63] lr: 1.6926e-03 eta: 10:15:09 time: 1.0641 data_time: 0.2811 memory: 16395 loss: 2.4607 loss_prob: 1.5427 loss_thr: 0.6683 loss_db: 0.2497 2022/11/02 15:30:11 - mmengine - INFO - Epoch(train) [287][10/63] lr: 1.6926e-03 eta: 10:15:08 time: 1.0692 data_time: 0.2788 memory: 16395 loss: 2.3992 loss_prob: 1.5012 loss_thr: 0.6559 loss_db: 0.2420 2022/11/02 15:30:15 - mmengine - INFO - Epoch(train) [287][15/63] lr: 1.6926e-03 eta: 10:15:08 time: 0.6839 data_time: 0.0080 memory: 16395 loss: 2.1396 loss_prob: 1.2966 loss_thr: 0.6359 loss_db: 0.2071 2022/11/02 15:30:18 - mmengine - INFO - Epoch(train) [287][20/63] lr: 1.6926e-03 eta: 10:15:03 time: 0.6775 data_time: 0.0122 memory: 16395 loss: 2.1671 loss_prob: 1.3150 loss_thr: 0.6399 loss_db: 0.2122 2022/11/02 15:30:22 - mmengine - INFO - Epoch(train) [287][25/63] lr: 1.6926e-03 eta: 10:15:03 time: 0.7010 data_time: 0.0404 memory: 16395 loss: 2.1371 loss_prob: 1.2792 loss_thr: 0.6506 loss_db: 0.2073 2022/11/02 15:30:24 - mmengine - INFO - Epoch(train) [287][30/63] lr: 1.6926e-03 eta: 10:14:56 time: 0.6346 data_time: 0.0351 memory: 16395 loss: 2.3643 loss_prob: 1.4518 loss_thr: 0.6691 loss_db: 0.2434 2022/11/02 15:30:27 - mmengine - INFO - Epoch(train) [287][35/63] lr: 1.6926e-03 eta: 10:14:56 time: 0.5168 data_time: 0.0040 memory: 16395 loss: 2.3004 loss_prob: 1.4107 loss_thr: 0.6561 loss_db: 0.2337 2022/11/02 15:30:29 - mmengine - INFO - Epoch(train) [287][40/63] lr: 1.6926e-03 eta: 10:14:46 time: 0.5181 data_time: 0.0041 memory: 16395 loss: 2.1472 loss_prob: 1.2931 loss_thr: 0.6475 loss_db: 0.2066 2022/11/02 15:30:32 - mmengine - INFO - Epoch(train) [287][45/63] lr: 1.6926e-03 eta: 10:14:46 time: 0.5137 data_time: 0.0061 memory: 16395 loss: 2.1113 loss_prob: 1.2506 loss_thr: 0.6589 loss_db: 0.2019 2022/11/02 15:30:35 - mmengine - INFO - Epoch(train) [287][50/63] lr: 1.6926e-03 eta: 10:14:36 time: 0.5513 data_time: 0.0339 memory: 16395 loss: 2.1429 loss_prob: 1.2620 loss_thr: 0.6744 loss_db: 0.2065 2022/11/02 15:30:38 - mmengine - INFO - Epoch(train) [287][55/63] lr: 1.6926e-03 eta: 10:14:36 time: 0.5799 data_time: 0.0325 memory: 16395 loss: 2.3679 loss_prob: 1.4633 loss_thr: 0.6706 loss_db: 0.2340 2022/11/02 15:30:40 - mmengine - INFO - Epoch(train) [287][60/63] lr: 1.6926e-03 eta: 10:14:27 time: 0.5365 data_time: 0.0053 memory: 16395 loss: 2.2025 loss_prob: 1.3613 loss_thr: 0.6218 loss_db: 0.2194 2022/11/02 15:30:42 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:30:48 - mmengine - INFO - Epoch(train) [288][5/63] lr: 1.6910e-03 eta: 10:14:27 time: 0.8560 data_time: 0.2735 memory: 16395 loss: 2.1005 loss_prob: 1.2654 loss_thr: 0.6261 loss_db: 0.2089 2022/11/02 15:30:51 - mmengine - INFO - Epoch(train) [288][10/63] lr: 1.6910e-03 eta: 10:14:18 time: 0.8407 data_time: 0.2718 memory: 16395 loss: 2.1059 loss_prob: 1.2539 loss_thr: 0.6467 loss_db: 0.2053 2022/11/02 15:30:54 - mmengine - INFO - Epoch(train) [288][15/63] lr: 1.6910e-03 eta: 10:14:18 time: 0.5893 data_time: 0.0097 memory: 16395 loss: 1.9781 loss_prob: 1.1740 loss_thr: 0.6136 loss_db: 0.1906 2022/11/02 15:30:57 - mmengine - INFO - Epoch(train) [288][20/63] lr: 1.6910e-03 eta: 10:14:11 time: 0.6225 data_time: 0.0122 memory: 16395 loss: 2.0324 loss_prob: 1.2149 loss_thr: 0.6217 loss_db: 0.1958 2022/11/02 15:31:00 - mmengine - INFO - Epoch(train) [288][25/63] lr: 1.6910e-03 eta: 10:14:11 time: 0.6412 data_time: 0.0446 memory: 16395 loss: 2.0263 loss_prob: 1.2160 loss_thr: 0.6124 loss_db: 0.1980 2022/11/02 15:31:03 - mmengine - INFO - Epoch(train) [288][30/63] lr: 1.6910e-03 eta: 10:14:05 time: 0.6522 data_time: 0.0518 memory: 16395 loss: 2.0224 loss_prob: 1.2213 loss_thr: 0.6005 loss_db: 0.2007 2022/11/02 15:31:06 - mmengine - INFO - Epoch(train) [288][35/63] lr: 1.6910e-03 eta: 10:14:05 time: 0.5945 data_time: 0.0160 memory: 16395 loss: 2.0986 loss_prob: 1.2842 loss_thr: 0.6053 loss_db: 0.2091 2022/11/02 15:31:09 - mmengine - INFO - Epoch(train) [288][40/63] lr: 1.6910e-03 eta: 10:13:58 time: 0.5958 data_time: 0.0148 memory: 16395 loss: 2.1745 loss_prob: 1.3322 loss_thr: 0.6247 loss_db: 0.2176 2022/11/02 15:31:13 - mmengine - INFO - Epoch(train) [288][45/63] lr: 1.6910e-03 eta: 10:13:58 time: 0.6783 data_time: 0.0146 memory: 16395 loss: 2.0843 loss_prob: 1.2681 loss_thr: 0.6112 loss_db: 0.2050 2022/11/02 15:31:16 - mmengine - INFO - Epoch(train) [288][50/63] lr: 1.6910e-03 eta: 10:13:53 time: 0.6908 data_time: 0.0232 memory: 16395 loss: 1.9187 loss_prob: 1.1487 loss_thr: 0.5916 loss_db: 0.1784 2022/11/02 15:31:20 - mmengine - INFO - Epoch(train) [288][55/63] lr: 1.6910e-03 eta: 10:13:53 time: 0.7262 data_time: 0.0221 memory: 16395 loss: 1.8462 loss_prob: 1.0772 loss_thr: 0.6004 loss_db: 0.1687 2022/11/02 15:31:23 - mmengine - INFO - Epoch(train) [288][60/63] lr: 1.6910e-03 eta: 10:13:48 time: 0.6818 data_time: 0.0094 memory: 16395 loss: 1.9541 loss_prob: 1.1489 loss_thr: 0.6190 loss_db: 0.1861 2022/11/02 15:31:24 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:31:30 - mmengine - INFO - Epoch(train) [289][5/63] lr: 1.6893e-03 eta: 10:13:48 time: 0.7768 data_time: 0.1984 memory: 16395 loss: 1.9694 loss_prob: 1.1713 loss_thr: 0.6118 loss_db: 0.1863 2022/11/02 15:31:32 - mmengine - INFO - Epoch(train) [289][10/63] lr: 1.6893e-03 eta: 10:13:37 time: 0.7760 data_time: 0.1969 memory: 16395 loss: 1.9172 loss_prob: 1.1328 loss_thr: 0.6032 loss_db: 0.1811 2022/11/02 15:31:35 - mmengine - INFO - Epoch(train) [289][15/63] lr: 1.6893e-03 eta: 10:13:37 time: 0.5048 data_time: 0.0107 memory: 16395 loss: 1.9464 loss_prob: 1.1451 loss_thr: 0.6132 loss_db: 0.1881 2022/11/02 15:31:38 - mmengine - INFO - Epoch(train) [289][20/63] lr: 1.6893e-03 eta: 10:13:29 time: 0.5763 data_time: 0.0146 memory: 16395 loss: 1.9075 loss_prob: 1.1456 loss_thr: 0.5791 loss_db: 0.1827 2022/11/02 15:31:41 - mmengine - INFO - Epoch(train) [289][25/63] lr: 1.6893e-03 eta: 10:13:29 time: 0.6325 data_time: 0.0129 memory: 16395 loss: 2.0821 loss_prob: 1.2782 loss_thr: 0.6011 loss_db: 0.2028 2022/11/02 15:31:44 - mmengine - INFO - Epoch(train) [289][30/63] lr: 1.6893e-03 eta: 10:13:22 time: 0.6144 data_time: 0.0431 memory: 16395 loss: 2.1055 loss_prob: 1.2719 loss_thr: 0.6269 loss_db: 0.2066 2022/11/02 15:31:47 - mmengine - INFO - Epoch(train) [289][35/63] lr: 1.6893e-03 eta: 10:13:22 time: 0.6353 data_time: 0.0409 memory: 16395 loss: 1.9867 loss_prob: 1.1929 loss_thr: 0.5999 loss_db: 0.1939 2022/11/02 15:31:50 - mmengine - INFO - Epoch(train) [289][40/63] lr: 1.6893e-03 eta: 10:13:14 time: 0.5989 data_time: 0.0135 memory: 16395 loss: 2.0288 loss_prob: 1.2069 loss_thr: 0.6235 loss_db: 0.1984 2022/11/02 15:31:53 - mmengine - INFO - Epoch(train) [289][45/63] lr: 1.6893e-03 eta: 10:13:14 time: 0.5773 data_time: 0.0142 memory: 16395 loss: 2.1995 loss_prob: 1.3280 loss_thr: 0.6549 loss_db: 0.2166 2022/11/02 15:31:56 - mmengine - INFO - Epoch(train) [289][50/63] lr: 1.6893e-03 eta: 10:13:06 time: 0.5759 data_time: 0.0103 memory: 16395 loss: 2.1268 loss_prob: 1.2754 loss_thr: 0.6449 loss_db: 0.2064 2022/11/02 15:31:59 - mmengine - INFO - Epoch(train) [289][55/63] lr: 1.6893e-03 eta: 10:13:06 time: 0.5984 data_time: 0.0334 memory: 16395 loss: 2.1022 loss_prob: 1.2574 loss_thr: 0.6442 loss_db: 0.2007 2022/11/02 15:32:02 - mmengine - INFO - Epoch(train) [289][60/63] lr: 1.6893e-03 eta: 10:12:58 time: 0.5912 data_time: 0.0331 memory: 16395 loss: 2.0425 loss_prob: 1.2310 loss_thr: 0.6176 loss_db: 0.1938 2022/11/02 15:32:03 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:32:10 - mmengine - INFO - Epoch(train) [290][5/63] lr: 1.6876e-03 eta: 10:12:58 time: 0.8908 data_time: 0.2584 memory: 16395 loss: 1.9494 loss_prob: 1.1518 loss_thr: 0.6086 loss_db: 0.1890 2022/11/02 15:32:13 - mmengine - INFO - Epoch(train) [290][10/63] lr: 1.6876e-03 eta: 10:12:53 time: 0.9564 data_time: 0.2591 memory: 16395 loss: 2.0723 loss_prob: 1.2378 loss_thr: 0.6290 loss_db: 0.2055 2022/11/02 15:32:16 - mmengine - INFO - Epoch(train) [290][15/63] lr: 1.6876e-03 eta: 10:12:53 time: 0.6339 data_time: 0.0118 memory: 16395 loss: 2.0473 loss_prob: 1.2299 loss_thr: 0.6139 loss_db: 0.2035 2022/11/02 15:32:19 - mmengine - INFO - Epoch(train) [290][20/63] lr: 1.6876e-03 eta: 10:12:47 time: 0.6400 data_time: 0.0198 memory: 16395 loss: 2.1396 loss_prob: 1.2845 loss_thr: 0.6436 loss_db: 0.2115 2022/11/02 15:32:22 - mmengine - INFO - Epoch(train) [290][25/63] lr: 1.6876e-03 eta: 10:12:47 time: 0.6413 data_time: 0.0494 memory: 16395 loss: 2.1502 loss_prob: 1.2849 loss_thr: 0.6568 loss_db: 0.2085 2022/11/02 15:32:26 - mmengine - INFO - Epoch(train) [290][30/63] lr: 1.6876e-03 eta: 10:12:43 time: 0.7165 data_time: 0.0411 memory: 16395 loss: 2.1715 loss_prob: 1.2994 loss_thr: 0.6615 loss_db: 0.2106 2022/11/02 15:32:30 - mmengine - INFO - Epoch(train) [290][35/63] lr: 1.6876e-03 eta: 10:12:43 time: 0.7095 data_time: 0.0099 memory: 16395 loss: 2.1506 loss_prob: 1.2778 loss_thr: 0.6647 loss_db: 0.2082 2022/11/02 15:32:33 - mmengine - INFO - Epoch(train) [290][40/63] lr: 1.6876e-03 eta: 10:12:38 time: 0.7072 data_time: 0.0098 memory: 16395 loss: 2.0818 loss_prob: 1.2448 loss_thr: 0.6385 loss_db: 0.1985 2022/11/02 15:32:37 - mmengine - INFO - Epoch(train) [290][45/63] lr: 1.6876e-03 eta: 10:12:38 time: 0.7091 data_time: 0.0114 memory: 16395 loss: 2.0858 loss_prob: 1.2603 loss_thr: 0.6202 loss_db: 0.2053 2022/11/02 15:32:40 - mmengine - INFO - Epoch(train) [290][50/63] lr: 1.6876e-03 eta: 10:12:31 time: 0.6164 data_time: 0.0332 memory: 16395 loss: 1.9759 loss_prob: 1.1735 loss_thr: 0.6069 loss_db: 0.1955 2022/11/02 15:32:43 - mmengine - INFO - Epoch(train) [290][55/63] lr: 1.6876e-03 eta: 10:12:31 time: 0.6027 data_time: 0.0279 memory: 16395 loss: 1.8176 loss_prob: 1.0525 loss_thr: 0.5951 loss_db: 0.1700 2022/11/02 15:32:46 - mmengine - INFO - Epoch(train) [290][60/63] lr: 1.6876e-03 eta: 10:12:25 time: 0.6310 data_time: 0.0093 memory: 16395 loss: 1.8960 loss_prob: 1.0928 loss_thr: 0.6296 loss_db: 0.1736 2022/11/02 15:32:47 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:32:53 - mmengine - INFO - Epoch(train) [291][5/63] lr: 1.6859e-03 eta: 10:12:25 time: 0.8056 data_time: 0.2520 memory: 16395 loss: 2.2757 loss_prob: 1.4001 loss_thr: 0.6413 loss_db: 0.2342 2022/11/02 15:32:56 - mmengine - INFO - Epoch(train) [291][10/63] lr: 1.6859e-03 eta: 10:12:16 time: 0.8429 data_time: 0.2515 memory: 16395 loss: 2.2316 loss_prob: 1.3962 loss_thr: 0.6133 loss_db: 0.2221 2022/11/02 15:32:59 - mmengine - INFO - Epoch(train) [291][15/63] lr: 1.6859e-03 eta: 10:12:16 time: 0.6095 data_time: 0.0092 memory: 16395 loss: 2.2462 loss_prob: 1.3883 loss_thr: 0.6338 loss_db: 0.2241 2022/11/02 15:33:03 - mmengine - INFO - Epoch(train) [291][20/63] lr: 1.6859e-03 eta: 10:12:13 time: 0.7319 data_time: 0.0101 memory: 16395 loss: 2.2025 loss_prob: 1.3489 loss_thr: 0.6413 loss_db: 0.2123 2022/11/02 15:33:07 - mmengine - INFO - Epoch(train) [291][25/63] lr: 1.6859e-03 eta: 10:12:13 time: 0.7752 data_time: 0.0294 memory: 16395 loss: 2.2695 loss_prob: 1.4004 loss_thr: 0.6471 loss_db: 0.2220 2022/11/02 15:33:10 - mmengine - INFO - Epoch(train) [291][30/63] lr: 1.6859e-03 eta: 10:12:07 time: 0.6589 data_time: 0.0288 memory: 16395 loss: 2.1084 loss_prob: 1.2749 loss_thr: 0.6232 loss_db: 0.2104 2022/11/02 15:33:14 - mmengine - INFO - Epoch(train) [291][35/63] lr: 1.6859e-03 eta: 10:12:07 time: 0.6944 data_time: 0.0260 memory: 16395 loss: 2.0019 loss_prob: 1.1948 loss_thr: 0.6124 loss_db: 0.1947 2022/11/02 15:33:17 - mmengine - INFO - Epoch(train) [291][40/63] lr: 1.6859e-03 eta: 10:12:04 time: 0.7621 data_time: 0.0278 memory: 16395 loss: 1.9755 loss_prob: 1.1631 loss_thr: 0.6270 loss_db: 0.1853 2022/11/02 15:33:21 - mmengine - INFO - Epoch(train) [291][45/63] lr: 1.6859e-03 eta: 10:12:04 time: 0.7467 data_time: 0.0101 memory: 16395 loss: 1.9069 loss_prob: 1.1194 loss_thr: 0.6038 loss_db: 0.1837 2022/11/02 15:33:24 - mmengine - INFO - Epoch(train) [291][50/63] lr: 1.6859e-03 eta: 10:12:00 time: 0.6977 data_time: 0.0216 memory: 16395 loss: 2.1319 loss_prob: 1.2780 loss_thr: 0.6425 loss_db: 0.2115 2022/11/02 15:33:28 - mmengine - INFO - Epoch(train) [291][55/63] lr: 1.6859e-03 eta: 10:12:00 time: 0.6553 data_time: 0.0258 memory: 16395 loss: 2.3557 loss_prob: 1.4481 loss_thr: 0.6695 loss_db: 0.2381 2022/11/02 15:33:31 - mmengine - INFO - Epoch(train) [291][60/63] lr: 1.6859e-03 eta: 10:11:54 time: 0.6536 data_time: 0.0142 memory: 16395 loss: 2.2213 loss_prob: 1.3524 loss_thr: 0.6464 loss_db: 0.2226 2022/11/02 15:33:32 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:33:39 - mmengine - INFO - Epoch(train) [292][5/63] lr: 1.6843e-03 eta: 10:11:54 time: 0.9356 data_time: 0.2026 memory: 16395 loss: 2.0788 loss_prob: 1.2582 loss_thr: 0.6190 loss_db: 0.2016 2022/11/02 15:33:43 - mmengine - INFO - Epoch(train) [292][10/63] lr: 1.6843e-03 eta: 10:11:53 time: 1.0603 data_time: 0.2186 memory: 16395 loss: 2.1440 loss_prob: 1.2915 loss_thr: 0.6496 loss_db: 0.2029 2022/11/02 15:33:47 - mmengine - INFO - Epoch(train) [292][15/63] lr: 1.6843e-03 eta: 10:11:53 time: 0.8072 data_time: 0.0266 memory: 16395 loss: 1.9600 loss_prob: 1.1476 loss_thr: 0.6270 loss_db: 0.1854 2022/11/02 15:33:50 - mmengine - INFO - Epoch(train) [292][20/63] lr: 1.6843e-03 eta: 10:11:48 time: 0.6894 data_time: 0.0139 memory: 16395 loss: 2.1764 loss_prob: 1.3106 loss_thr: 0.6496 loss_db: 0.2163 2022/11/02 15:33:53 - mmengine - INFO - Epoch(train) [292][25/63] lr: 1.6843e-03 eta: 10:11:48 time: 0.6372 data_time: 0.0292 memory: 16395 loss: 2.2258 loss_prob: 1.3475 loss_thr: 0.6539 loss_db: 0.2244 2022/11/02 15:33:56 - mmengine - INFO - Epoch(train) [292][30/63] lr: 1.6843e-03 eta: 10:11:41 time: 0.6480 data_time: 0.0320 memory: 16395 loss: 2.3082 loss_prob: 1.4216 loss_thr: 0.6420 loss_db: 0.2446 2022/11/02 15:34:00 - mmengine - INFO - Epoch(train) [292][35/63] lr: 1.6843e-03 eta: 10:11:41 time: 0.6596 data_time: 0.0258 memory: 16395 loss: 2.2404 loss_prob: 1.3927 loss_thr: 0.6126 loss_db: 0.2352 2022/11/02 15:34:03 - mmengine - INFO - Epoch(train) [292][40/63] lr: 1.6843e-03 eta: 10:11:34 time: 0.6210 data_time: 0.0269 memory: 16395 loss: 2.0987 loss_prob: 1.2816 loss_thr: 0.6096 loss_db: 0.2075 2022/11/02 15:34:06 - mmengine - INFO - Epoch(train) [292][45/63] lr: 1.6843e-03 eta: 10:11:34 time: 0.6136 data_time: 0.0161 memory: 16395 loss: 2.2006 loss_prob: 1.3432 loss_thr: 0.6413 loss_db: 0.2161 2022/11/02 15:34:09 - mmengine - INFO - Epoch(train) [292][50/63] lr: 1.6843e-03 eta: 10:11:28 time: 0.6477 data_time: 0.0207 memory: 16395 loss: 2.0617 loss_prob: 1.2372 loss_thr: 0.6229 loss_db: 0.2016 2022/11/02 15:34:12 - mmengine - INFO - Epoch(train) [292][55/63] lr: 1.6843e-03 eta: 10:11:28 time: 0.6058 data_time: 0.0334 memory: 16395 loss: 2.2232 loss_prob: 1.3328 loss_thr: 0.6657 loss_db: 0.2247 2022/11/02 15:34:15 - mmengine - INFO - Epoch(train) [292][60/63] lr: 1.6843e-03 eta: 10:11:21 time: 0.6117 data_time: 0.0248 memory: 16395 loss: 2.9109 loss_prob: 1.8793 loss_thr: 0.7181 loss_db: 0.3135 2022/11/02 15:34:17 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:34:22 - mmengine - INFO - Epoch(train) [293][5/63] lr: 1.6826e-03 eta: 10:11:21 time: 0.8628 data_time: 0.2444 memory: 16395 loss: 2.5030 loss_prob: 1.5544 loss_thr: 0.7041 loss_db: 0.2445 2022/11/02 15:34:25 - mmengine - INFO - Epoch(train) [293][10/63] lr: 1.6826e-03 eta: 10:11:13 time: 0.8460 data_time: 0.2460 memory: 16395 loss: 2.1343 loss_prob: 1.3202 loss_thr: 0.6082 loss_db: 0.2059 2022/11/02 15:34:28 - mmengine - INFO - Epoch(train) [293][15/63] lr: 1.6826e-03 eta: 10:11:13 time: 0.5867 data_time: 0.0144 memory: 16395 loss: 2.1886 loss_prob: 1.3567 loss_thr: 0.6187 loss_db: 0.2132 2022/11/02 15:34:31 - mmengine - INFO - Epoch(train) [293][20/63] lr: 1.6826e-03 eta: 10:11:05 time: 0.6017 data_time: 0.0092 memory: 16395 loss: 2.4495 loss_prob: 1.5427 loss_thr: 0.6564 loss_db: 0.2504 2022/11/02 15:34:34 - mmengine - INFO - Epoch(train) [293][25/63] lr: 1.6826e-03 eta: 10:11:05 time: 0.6051 data_time: 0.0213 memory: 16395 loss: 2.4226 loss_prob: 1.5054 loss_thr: 0.6664 loss_db: 0.2508 2022/11/02 15:34:37 - mmengine - INFO - Epoch(train) [293][30/63] lr: 1.6826e-03 eta: 10:10:58 time: 0.6016 data_time: 0.0415 memory: 16395 loss: 2.2443 loss_prob: 1.3670 loss_thr: 0.6531 loss_db: 0.2242 2022/11/02 15:34:40 - mmengine - INFO - Epoch(train) [293][35/63] lr: 1.6826e-03 eta: 10:10:58 time: 0.6103 data_time: 0.0348 memory: 16395 loss: 2.1053 loss_prob: 1.2718 loss_thr: 0.6273 loss_db: 0.2062 2022/11/02 15:34:43 - mmengine - INFO - Epoch(train) [293][40/63] lr: 1.6826e-03 eta: 10:10:50 time: 0.5886 data_time: 0.0113 memory: 16395 loss: 2.1010 loss_prob: 1.2551 loss_thr: 0.6410 loss_db: 0.2049 2022/11/02 15:34:48 - mmengine - INFO - Epoch(train) [293][45/63] lr: 1.6826e-03 eta: 10:10:50 time: 0.7542 data_time: 0.0088 memory: 16395 loss: 2.2000 loss_prob: 1.3073 loss_thr: 0.6805 loss_db: 0.2122 2022/11/02 15:34:51 - mmengine - INFO - Epoch(train) [293][50/63] lr: 1.6826e-03 eta: 10:10:46 time: 0.7401 data_time: 0.0148 memory: 16395 loss: 2.1688 loss_prob: 1.2921 loss_thr: 0.6756 loss_db: 0.2010 2022/11/02 15:34:54 - mmengine - INFO - Epoch(train) [293][55/63] lr: 1.6826e-03 eta: 10:10:46 time: 0.5873 data_time: 0.0224 memory: 16395 loss: 2.0619 loss_prob: 1.2234 loss_thr: 0.6465 loss_db: 0.1921 2022/11/02 15:34:57 - mmengine - INFO - Epoch(train) [293][60/63] lr: 1.6826e-03 eta: 10:10:41 time: 0.6704 data_time: 0.0202 memory: 16395 loss: 2.0053 loss_prob: 1.1918 loss_thr: 0.6218 loss_db: 0.1917 2022/11/02 15:34:59 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:35:05 - mmengine - INFO - Epoch(train) [294][5/63] lr: 1.6809e-03 eta: 10:10:41 time: 0.8779 data_time: 0.2284 memory: 16395 loss: 1.8963 loss_prob: 1.1296 loss_thr: 0.5876 loss_db: 0.1792 2022/11/02 15:35:08 - mmengine - INFO - Epoch(train) [294][10/63] lr: 1.6809e-03 eta: 10:10:36 time: 0.9523 data_time: 0.2287 memory: 16395 loss: 1.8809 loss_prob: 1.0958 loss_thr: 0.6125 loss_db: 0.1726 2022/11/02 15:35:11 - mmengine - INFO - Epoch(train) [294][15/63] lr: 1.6809e-03 eta: 10:10:36 time: 0.6518 data_time: 0.0089 memory: 16395 loss: 2.0035 loss_prob: 1.1807 loss_thr: 0.6325 loss_db: 0.1904 2022/11/02 15:35:15 - mmengine - INFO - Epoch(train) [294][20/63] lr: 1.6809e-03 eta: 10:10:31 time: 0.6813 data_time: 0.0087 memory: 16395 loss: 2.1463 loss_prob: 1.2983 loss_thr: 0.6377 loss_db: 0.2102 2022/11/02 15:35:19 - mmengine - INFO - Epoch(train) [294][25/63] lr: 1.6809e-03 eta: 10:10:31 time: 0.7478 data_time: 0.0196 memory: 16395 loss: 2.1019 loss_prob: 1.2753 loss_thr: 0.6221 loss_db: 0.2045 2022/11/02 15:35:22 - mmengine - INFO - Epoch(train) [294][30/63] lr: 1.6809e-03 eta: 10:10:27 time: 0.7246 data_time: 0.0512 memory: 16395 loss: 1.8595 loss_prob: 1.0950 loss_thr: 0.5910 loss_db: 0.1734 2022/11/02 15:35:26 - mmengine - INFO - Epoch(train) [294][35/63] lr: 1.6809e-03 eta: 10:10:27 time: 0.7226 data_time: 0.0408 memory: 16395 loss: 1.8778 loss_prob: 1.1183 loss_thr: 0.5822 loss_db: 0.1772 2022/11/02 15:35:29 - mmengine - INFO - Epoch(train) [294][40/63] lr: 1.6809e-03 eta: 10:10:21 time: 0.6369 data_time: 0.0089 memory: 16395 loss: 1.8877 loss_prob: 1.1422 loss_thr: 0.5605 loss_db: 0.1850 2022/11/02 15:35:31 - mmengine - INFO - Epoch(train) [294][45/63] lr: 1.6809e-03 eta: 10:10:21 time: 0.5190 data_time: 0.0051 memory: 16395 loss: 1.8863 loss_prob: 1.1175 loss_thr: 0.5863 loss_db: 0.1825 2022/11/02 15:35:35 - mmengine - INFO - Epoch(train) [294][50/63] lr: 1.6809e-03 eta: 10:10:14 time: 0.6344 data_time: 0.0122 memory: 16395 loss: 2.1199 loss_prob: 1.2765 loss_thr: 0.6375 loss_db: 0.2060 2022/11/02 15:35:38 - mmengine - INFO - Epoch(train) [294][55/63] lr: 1.6809e-03 eta: 10:10:14 time: 0.6504 data_time: 0.0299 memory: 16395 loss: 2.2159 loss_prob: 1.3466 loss_thr: 0.6544 loss_db: 0.2148 2022/11/02 15:35:42 - mmengine - INFO - Epoch(train) [294][60/63] lr: 1.6809e-03 eta: 10:10:08 time: 0.6551 data_time: 0.0263 memory: 16395 loss: 2.3511 loss_prob: 1.4309 loss_thr: 0.6838 loss_db: 0.2364 2022/11/02 15:35:43 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:35:50 - mmengine - INFO - Epoch(train) [295][5/63] lr: 1.6793e-03 eta: 10:10:08 time: 1.0429 data_time: 0.3737 memory: 16395 loss: 2.3606 loss_prob: 1.4502 loss_thr: 0.6699 loss_db: 0.2406 2022/11/02 15:35:54 - mmengine - INFO - Epoch(train) [295][10/63] lr: 1.6793e-03 eta: 10:10:08 time: 1.1102 data_time: 0.3666 memory: 16395 loss: 2.2613 loss_prob: 1.3705 loss_thr: 0.6747 loss_db: 0.2161 2022/11/02 15:35:57 - mmengine - INFO - Epoch(train) [295][15/63] lr: 1.6793e-03 eta: 10:10:08 time: 0.6440 data_time: 0.0078 memory: 16395 loss: 2.2368 loss_prob: 1.3556 loss_thr: 0.6635 loss_db: 0.2177 2022/11/02 15:36:00 - mmengine - INFO - Epoch(train) [295][20/63] lr: 1.6793e-03 eta: 10:10:00 time: 0.5755 data_time: 0.0095 memory: 16395 loss: 2.0720 loss_prob: 1.2369 loss_thr: 0.6329 loss_db: 0.2022 2022/11/02 15:36:04 - mmengine - INFO - Epoch(train) [295][25/63] lr: 1.6793e-03 eta: 10:10:00 time: 0.7062 data_time: 0.0168 memory: 16395 loss: 1.9819 loss_prob: 1.1786 loss_thr: 0.6115 loss_db: 0.1918 2022/11/02 15:36:07 - mmengine - INFO - Epoch(train) [295][30/63] lr: 1.6793e-03 eta: 10:09:55 time: 0.7120 data_time: 0.0167 memory: 16395 loss: 2.0931 loss_prob: 1.2453 loss_thr: 0.6454 loss_db: 0.2025 2022/11/02 15:36:10 - mmengine - INFO - Epoch(train) [295][35/63] lr: 1.6793e-03 eta: 10:09:55 time: 0.6324 data_time: 0.0071 memory: 16395 loss: 2.1486 loss_prob: 1.2847 loss_thr: 0.6548 loss_db: 0.2092 2022/11/02 15:36:14 - mmengine - INFO - Epoch(train) [295][40/63] lr: 1.6793e-03 eta: 10:09:49 time: 0.6522 data_time: 0.0090 memory: 16395 loss: 2.1809 loss_prob: 1.3156 loss_thr: 0.6536 loss_db: 0.2117 2022/11/02 15:36:16 - mmengine - INFO - Epoch(train) [295][45/63] lr: 1.6793e-03 eta: 10:09:49 time: 0.6213 data_time: 0.0097 memory: 16395 loss: 2.1200 loss_prob: 1.2690 loss_thr: 0.6467 loss_db: 0.2043 2022/11/02 15:36:20 - mmengine - INFO - Epoch(train) [295][50/63] lr: 1.6793e-03 eta: 10:09:44 time: 0.6723 data_time: 0.0284 memory: 16395 loss: 2.2215 loss_prob: 1.3552 loss_thr: 0.6469 loss_db: 0.2194 2022/11/02 15:36:24 - mmengine - INFO - Epoch(train) [295][55/63] lr: 1.6793e-03 eta: 10:09:44 time: 0.7068 data_time: 0.0289 memory: 16395 loss: 2.2090 loss_prob: 1.3388 loss_thr: 0.6530 loss_db: 0.2172 2022/11/02 15:36:27 - mmengine - INFO - Epoch(train) [295][60/63] lr: 1.6793e-03 eta: 10:09:37 time: 0.6375 data_time: 0.0069 memory: 16395 loss: 2.0122 loss_prob: 1.1835 loss_thr: 0.6330 loss_db: 0.1957 2022/11/02 15:36:28 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:36:34 - mmengine - INFO - Epoch(train) [296][5/63] lr: 1.6776e-03 eta: 10:09:37 time: 0.8933 data_time: 0.2360 memory: 16395 loss: 1.9285 loss_prob: 1.1350 loss_thr: 0.6081 loss_db: 0.1853 2022/11/02 15:36:38 - mmengine - INFO - Epoch(train) [296][10/63] lr: 1.6776e-03 eta: 10:09:33 time: 0.9740 data_time: 0.2346 memory: 16395 loss: 2.1038 loss_prob: 1.2569 loss_thr: 0.6419 loss_db: 0.2049 2022/11/02 15:36:43 - mmengine - INFO - Epoch(train) [296][15/63] lr: 1.6776e-03 eta: 10:09:33 time: 0.8259 data_time: 0.0087 memory: 16395 loss: 2.1622 loss_prob: 1.3101 loss_thr: 0.6429 loss_db: 0.2092 2022/11/02 15:36:45 - mmengine - INFO - Epoch(train) [296][20/63] lr: 1.6776e-03 eta: 10:09:29 time: 0.7077 data_time: 0.0064 memory: 16395 loss: 2.0562 loss_prob: 1.2324 loss_thr: 0.6289 loss_db: 0.1949 2022/11/02 15:36:49 - mmengine - INFO - Epoch(train) [296][25/63] lr: 1.6776e-03 eta: 10:09:29 time: 0.6346 data_time: 0.0248 memory: 16395 loss: 1.9495 loss_prob: 1.1498 loss_thr: 0.6143 loss_db: 0.1854 2022/11/02 15:36:52 - mmengine - INFO - Epoch(train) [296][30/63] lr: 1.6776e-03 eta: 10:09:25 time: 0.7209 data_time: 0.0370 memory: 16395 loss: 1.9774 loss_prob: 1.1750 loss_thr: 0.6131 loss_db: 0.1893 2022/11/02 15:36:56 - mmengine - INFO - Epoch(train) [296][35/63] lr: 1.6776e-03 eta: 10:09:25 time: 0.7515 data_time: 0.0252 memory: 16395 loss: 2.1191 loss_prob: 1.2762 loss_thr: 0.6412 loss_db: 0.2018 2022/11/02 15:37:00 - mmengine - INFO - Epoch(train) [296][40/63] lr: 1.6776e-03 eta: 10:09:21 time: 0.7348 data_time: 0.0128 memory: 16395 loss: 2.0644 loss_prob: 1.2343 loss_thr: 0.6342 loss_db: 0.1958 2022/11/02 15:37:03 - mmengine - INFO - Epoch(train) [296][45/63] lr: 1.6776e-03 eta: 10:09:21 time: 0.6212 data_time: 0.0080 memory: 16395 loss: 2.0044 loss_prob: 1.1866 loss_thr: 0.6256 loss_db: 0.1922 2022/11/02 15:37:07 - mmengine - INFO - Epoch(train) [296][50/63] lr: 1.6776e-03 eta: 10:09:16 time: 0.6780 data_time: 0.0333 memory: 16395 loss: 2.1412 loss_prob: 1.2838 loss_thr: 0.6520 loss_db: 0.2054 2022/11/02 15:37:09 - mmengine - INFO - Epoch(train) [296][55/63] lr: 1.6776e-03 eta: 10:09:16 time: 0.6630 data_time: 0.0348 memory: 16395 loss: 2.0281 loss_prob: 1.2049 loss_thr: 0.6314 loss_db: 0.1917 2022/11/02 15:37:13 - mmengine - INFO - Epoch(train) [296][60/63] lr: 1.6776e-03 eta: 10:09:09 time: 0.6120 data_time: 0.0109 memory: 16395 loss: 1.8581 loss_prob: 1.0945 loss_thr: 0.5863 loss_db: 0.1773 2022/11/02 15:37:14 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:37:22 - mmengine - INFO - Epoch(train) [297][5/63] lr: 1.6759e-03 eta: 10:09:09 time: 1.0720 data_time: 0.2606 memory: 16395 loss: 2.0016 loss_prob: 1.1965 loss_thr: 0.6152 loss_db: 0.1899 2022/11/02 15:37:26 - mmengine - INFO - Epoch(train) [297][10/63] lr: 1.6759e-03 eta: 10:09:10 time: 1.1591 data_time: 0.2660 memory: 16395 loss: 1.9680 loss_prob: 1.1940 loss_thr: 0.5898 loss_db: 0.1842 2022/11/02 15:37:29 - mmengine - INFO - Epoch(train) [297][15/63] lr: 1.6759e-03 eta: 10:09:10 time: 0.7014 data_time: 0.0174 memory: 16395 loss: 1.9987 loss_prob: 1.2034 loss_thr: 0.6015 loss_db: 0.1938 2022/11/02 15:37:32 - mmengine - INFO - Epoch(train) [297][20/63] lr: 1.6759e-03 eta: 10:09:03 time: 0.6028 data_time: 0.0105 memory: 16395 loss: 2.0829 loss_prob: 1.2457 loss_thr: 0.6320 loss_db: 0.2052 2022/11/02 15:37:35 - mmengine - INFO - Epoch(train) [297][25/63] lr: 1.6759e-03 eta: 10:09:03 time: 0.5720 data_time: 0.0164 memory: 16395 loss: 2.0086 loss_prob: 1.2017 loss_thr: 0.6112 loss_db: 0.1957 2022/11/02 15:37:38 - mmengine - INFO - Epoch(train) [297][30/63] lr: 1.6759e-03 eta: 10:08:56 time: 0.6309 data_time: 0.0391 memory: 16395 loss: 1.8814 loss_prob: 1.1347 loss_thr: 0.5705 loss_db: 0.1763 2022/11/02 15:37:41 - mmengine - INFO - Epoch(train) [297][35/63] lr: 1.6759e-03 eta: 10:08:56 time: 0.6154 data_time: 0.0323 memory: 16395 loss: 2.0753 loss_prob: 1.2740 loss_thr: 0.6040 loss_db: 0.1974 2022/11/02 15:37:46 - mmengine - INFO - Epoch(train) [297][40/63] lr: 1.6759e-03 eta: 10:08:53 time: 0.7709 data_time: 0.0089 memory: 16395 loss: 2.2590 loss_prob: 1.3817 loss_thr: 0.6538 loss_db: 0.2235 2022/11/02 15:37:49 - mmengine - INFO - Epoch(train) [297][45/63] lr: 1.6759e-03 eta: 10:08:53 time: 0.8379 data_time: 0.0089 memory: 16395 loss: 2.0834 loss_prob: 1.2517 loss_thr: 0.6273 loss_db: 0.2044 2022/11/02 15:37:53 - mmengine - INFO - Epoch(train) [297][50/63] lr: 1.6759e-03 eta: 10:08:50 time: 0.7571 data_time: 0.0318 memory: 16395 loss: 2.3204 loss_prob: 1.4304 loss_thr: 0.6503 loss_db: 0.2396 2022/11/02 15:37:58 - mmengine - INFO - Epoch(train) [297][55/63] lr: 1.6759e-03 eta: 10:08:50 time: 0.8547 data_time: 0.0289 memory: 16395 loss: 2.2693 loss_prob: 1.3988 loss_thr: 0.6352 loss_db: 0.2353 2022/11/02 15:38:01 - mmengine - INFO - Epoch(train) [297][60/63] lr: 1.6759e-03 eta: 10:08:48 time: 0.7848 data_time: 0.0113 memory: 16395 loss: 1.8035 loss_prob: 1.0572 loss_thr: 0.5713 loss_db: 0.1750 2022/11/02 15:38:03 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:38:09 - mmengine - INFO - Epoch(train) [298][5/63] lr: 1.6743e-03 eta: 10:08:48 time: 0.8724 data_time: 0.2562 memory: 16395 loss: 1.9432 loss_prob: 1.1396 loss_thr: 0.6199 loss_db: 0.1837 2022/11/02 15:38:12 - mmengine - INFO - Epoch(train) [298][10/63] lr: 1.6743e-03 eta: 10:08:44 time: 0.9523 data_time: 0.2634 memory: 16395 loss: 1.9088 loss_prob: 1.1159 loss_thr: 0.6148 loss_db: 0.1781 2022/11/02 15:38:15 - mmengine - INFO - Epoch(train) [298][15/63] lr: 1.6743e-03 eta: 10:08:44 time: 0.6364 data_time: 0.0167 memory: 16395 loss: 1.8976 loss_prob: 1.1238 loss_thr: 0.5944 loss_db: 0.1794 2022/11/02 15:38:19 - mmengine - INFO - Epoch(train) [298][20/63] lr: 1.6743e-03 eta: 10:08:38 time: 0.6845 data_time: 0.0073 memory: 16395 loss: 1.8483 loss_prob: 1.0852 loss_thr: 0.5901 loss_db: 0.1730 2022/11/02 15:38:22 - mmengine - INFO - Epoch(train) [298][25/63] lr: 1.6743e-03 eta: 10:08:38 time: 0.6957 data_time: 0.0127 memory: 16395 loss: 1.8749 loss_prob: 1.0919 loss_thr: 0.6088 loss_db: 0.1742 2022/11/02 15:38:25 - mmengine - INFO - Epoch(train) [298][30/63] lr: 1.6743e-03 eta: 10:08:31 time: 0.6036 data_time: 0.0442 memory: 16395 loss: 2.0009 loss_prob: 1.2002 loss_thr: 0.6121 loss_db: 0.1885 2022/11/02 15:38:28 - mmengine - INFO - Epoch(train) [298][35/63] lr: 1.6743e-03 eta: 10:08:31 time: 0.6122 data_time: 0.0388 memory: 16395 loss: 2.0319 loss_prob: 1.2336 loss_thr: 0.6045 loss_db: 0.1938 2022/11/02 15:38:31 - mmengine - INFO - Epoch(train) [298][40/63] lr: 1.6743e-03 eta: 10:08:23 time: 0.6076 data_time: 0.0070 memory: 16395 loss: 1.9424 loss_prob: 1.1526 loss_thr: 0.6049 loss_db: 0.1849 2022/11/02 15:38:35 - mmengine - INFO - Epoch(train) [298][45/63] lr: 1.6743e-03 eta: 10:08:23 time: 0.6277 data_time: 0.0084 memory: 16395 loss: 1.8829 loss_prob: 1.1071 loss_thr: 0.6000 loss_db: 0.1758 2022/11/02 15:38:39 - mmengine - INFO - Epoch(train) [298][50/63] lr: 1.6743e-03 eta: 10:08:22 time: 0.7973 data_time: 0.0271 memory: 16395 loss: 2.0882 loss_prob: 1.2713 loss_thr: 0.6148 loss_db: 0.2021 2022/11/02 15:38:43 - mmengine - INFO - Epoch(train) [298][55/63] lr: 1.6743e-03 eta: 10:08:22 time: 0.8270 data_time: 0.0304 memory: 16395 loss: 2.0619 loss_prob: 1.2444 loss_thr: 0.6177 loss_db: 0.1998 2022/11/02 15:38:46 - mmengine - INFO - Epoch(train) [298][60/63] lr: 1.6743e-03 eta: 10:08:18 time: 0.7300 data_time: 0.0151 memory: 16395 loss: 1.9246 loss_prob: 1.1358 loss_thr: 0.6031 loss_db: 0.1857 2022/11/02 15:38:49 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:38:55 - mmengine - INFO - Epoch(train) [299][5/63] lr: 1.6726e-03 eta: 10:08:18 time: 1.0031 data_time: 0.2286 memory: 16395 loss: 1.8909 loss_prob: 1.1221 loss_thr: 0.5882 loss_db: 0.1805 2022/11/02 15:38:59 - mmengine - INFO - Epoch(train) [299][10/63] lr: 1.6726e-03 eta: 10:08:14 time: 0.9952 data_time: 0.2423 memory: 16395 loss: 1.9499 loss_prob: 1.1582 loss_thr: 0.6081 loss_db: 0.1837 2022/11/02 15:39:01 - mmengine - INFO - Epoch(train) [299][15/63] lr: 1.6726e-03 eta: 10:08:14 time: 0.6287 data_time: 0.0234 memory: 16395 loss: 1.9906 loss_prob: 1.1752 loss_thr: 0.6264 loss_db: 0.1891 2022/11/02 15:39:05 - mmengine - INFO - Epoch(train) [299][20/63] lr: 1.6726e-03 eta: 10:08:08 time: 0.6488 data_time: 0.0119 memory: 16395 loss: 1.9557 loss_prob: 1.1492 loss_thr: 0.6184 loss_db: 0.1881 2022/11/02 15:39:08 - mmengine - INFO - Epoch(train) [299][25/63] lr: 1.6726e-03 eta: 10:08:08 time: 0.6870 data_time: 0.0094 memory: 16395 loss: 1.7781 loss_prob: 1.0241 loss_thr: 0.5870 loss_db: 0.1671 2022/11/02 15:39:12 - mmengine - INFO - Epoch(train) [299][30/63] lr: 1.6726e-03 eta: 10:08:03 time: 0.6964 data_time: 0.0358 memory: 16395 loss: 1.9394 loss_prob: 1.1622 loss_thr: 0.5930 loss_db: 0.1842 2022/11/02 15:39:16 - mmengine - INFO - Epoch(train) [299][35/63] lr: 1.6726e-03 eta: 10:08:03 time: 0.7592 data_time: 0.0360 memory: 16395 loss: 2.1765 loss_prob: 1.3334 loss_thr: 0.6279 loss_db: 0.2152 2022/11/02 15:39:20 - mmengine - INFO - Epoch(train) [299][40/63] lr: 1.6726e-03 eta: 10:08:00 time: 0.7545 data_time: 0.0066 memory: 16395 loss: 2.1323 loss_prob: 1.2881 loss_thr: 0.6310 loss_db: 0.2132 2022/11/02 15:39:23 - mmengine - INFO - Epoch(train) [299][45/63] lr: 1.6726e-03 eta: 10:08:00 time: 0.7215 data_time: 0.0266 memory: 16395 loss: 2.0924 loss_prob: 1.2559 loss_thr: 0.6340 loss_db: 0.2026 2022/11/02 15:39:26 - mmengine - INFO - Epoch(train) [299][50/63] lr: 1.6726e-03 eta: 10:07:55 time: 0.6862 data_time: 0.0301 memory: 16395 loss: 2.1612 loss_prob: 1.2994 loss_thr: 0.6569 loss_db: 0.2049 2022/11/02 15:39:30 - mmengine - INFO - Epoch(train) [299][55/63] lr: 1.6726e-03 eta: 10:07:55 time: 0.6649 data_time: 0.0239 memory: 16395 loss: 2.2935 loss_prob: 1.4049 loss_thr: 0.6698 loss_db: 0.2189 2022/11/02 15:39:32 - mmengine - INFO - Epoch(train) [299][60/63] lr: 1.6726e-03 eta: 10:07:48 time: 0.6106 data_time: 0.0207 memory: 16395 loss: 2.2013 loss_prob: 1.3288 loss_thr: 0.6600 loss_db: 0.2125 2022/11/02 15:39:34 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:39:39 - mmengine - INFO - Epoch(train) [300][5/63] lr: 1.6709e-03 eta: 10:07:48 time: 0.8037 data_time: 0.2698 memory: 16395 loss: 2.1703 loss_prob: 1.3152 loss_thr: 0.6467 loss_db: 0.2084 2022/11/02 15:39:42 - mmengine - INFO - Epoch(train) [300][10/63] lr: 1.6709e-03 eta: 10:07:41 time: 0.8724 data_time: 0.2725 memory: 16395 loss: 2.0431 loss_prob: 1.2287 loss_thr: 0.6168 loss_db: 0.1976 2022/11/02 15:39:45 - mmengine - INFO - Epoch(train) [300][15/63] lr: 1.6709e-03 eta: 10:07:41 time: 0.5980 data_time: 0.0103 memory: 16395 loss: 2.0230 loss_prob: 1.1885 loss_thr: 0.6398 loss_db: 0.1948 2022/11/02 15:39:49 - mmengine - INFO - Epoch(train) [300][20/63] lr: 1.6709e-03 eta: 10:07:33 time: 0.6074 data_time: 0.0091 memory: 16395 loss: 1.9105 loss_prob: 1.1109 loss_thr: 0.6199 loss_db: 0.1797 2022/11/02 15:39:53 - mmengine - INFO - Epoch(train) [300][25/63] lr: 1.6709e-03 eta: 10:07:33 time: 0.7706 data_time: 0.0374 memory: 16395 loss: 1.8174 loss_prob: 1.0616 loss_thr: 0.5874 loss_db: 0.1684 2022/11/02 15:39:57 - mmengine - INFO - Epoch(train) [300][30/63] lr: 1.6709e-03 eta: 10:07:32 time: 0.8310 data_time: 0.0554 memory: 16395 loss: 2.1438 loss_prob: 1.3017 loss_thr: 0.6362 loss_db: 0.2059 2022/11/02 15:40:00 - mmengine - INFO - Epoch(train) [300][35/63] lr: 1.6709e-03 eta: 10:07:32 time: 0.6405 data_time: 0.0250 memory: 16395 loss: 2.1572 loss_prob: 1.3024 loss_thr: 0.6450 loss_db: 0.2098 2022/11/02 15:40:03 - mmengine - INFO - Epoch(train) [300][40/63] lr: 1.6709e-03 eta: 10:07:24 time: 0.5650 data_time: 0.0055 memory: 16395 loss: 1.9196 loss_prob: 1.1319 loss_thr: 0.6051 loss_db: 0.1826 2022/11/02 15:40:05 - mmengine - INFO - Epoch(train) [300][45/63] lr: 1.6709e-03 eta: 10:07:24 time: 0.5910 data_time: 0.0055 memory: 16395 loss: 1.9480 loss_prob: 1.1461 loss_thr: 0.6194 loss_db: 0.1825 2022/11/02 15:40:09 - mmengine - INFO - Epoch(train) [300][50/63] lr: 1.6709e-03 eta: 10:07:17 time: 0.6339 data_time: 0.0260 memory: 16395 loss: 1.9440 loss_prob: 1.1284 loss_thr: 0.6338 loss_db: 0.1817 2022/11/02 15:40:12 - mmengine - INFO - Epoch(train) [300][55/63] lr: 1.6709e-03 eta: 10:07:17 time: 0.6641 data_time: 0.0256 memory: 16395 loss: 1.9107 loss_prob: 1.1172 loss_thr: 0.6156 loss_db: 0.1779 2022/11/02 15:40:16 - mmengine - INFO - Epoch(train) [300][60/63] lr: 1.6709e-03 eta: 10:07:11 time: 0.6690 data_time: 0.0129 memory: 16395 loss: 1.8803 loss_prob: 1.1033 loss_thr: 0.6029 loss_db: 0.1741 2022/11/02 15:40:17 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:40:17 - mmengine - INFO - Saving checkpoint at 300 epochs 2022/11/02 15:40:21 - mmengine - INFO - Epoch(val) [300][5/500] eta: 10:07:11 time: 0.0509 data_time: 0.0054 memory: 16395 2022/11/02 15:40:22 - mmengine - INFO - Epoch(val) [300][10/500] eta: 0:00:26 time: 0.0537 data_time: 0.0053 memory: 1013 2022/11/02 15:40:22 - mmengine - INFO - Epoch(val) [300][15/500] eta: 0:00:26 time: 0.0458 data_time: 0.0026 memory: 1013 2022/11/02 15:40:22 - mmengine - INFO - Epoch(val) [300][20/500] eta: 0:00:21 time: 0.0447 data_time: 0.0030 memory: 1013 2022/11/02 15:40:22 - mmengine - INFO - Epoch(val) [300][25/500] eta: 0:00:21 time: 0.0455 data_time: 0.0029 memory: 1013 2022/11/02 15:40:22 - mmengine - INFO - Epoch(val) [300][30/500] eta: 0:00:23 time: 0.0494 data_time: 0.0029 memory: 1013 2022/11/02 15:40:23 - mmengine - INFO - Epoch(val) [300][35/500] eta: 0:00:23 time: 0.0471 data_time: 0.0028 memory: 1013 2022/11/02 15:40:23 - mmengine - INFO - Epoch(val) [300][40/500] eta: 0:00:24 time: 0.0539 data_time: 0.0029 memory: 1013 2022/11/02 15:40:23 - mmengine - INFO - Epoch(val) [300][45/500] eta: 0:00:24 time: 0.0622 data_time: 0.0036 memory: 1013 2022/11/02 15:40:24 - mmengine - INFO - Epoch(val) [300][50/500] eta: 0:00:23 time: 0.0517 data_time: 0.0033 memory: 1013 2022/11/02 15:40:24 - mmengine - INFO - Epoch(val) [300][55/500] eta: 0:00:23 time: 0.0461 data_time: 0.0025 memory: 1013 2022/11/02 15:40:24 - mmengine - INFO - Epoch(val) [300][60/500] eta: 0:00:19 time: 0.0437 data_time: 0.0024 memory: 1013 2022/11/02 15:40:24 - mmengine - INFO - Epoch(val) [300][65/500] eta: 0:00:19 time: 0.0455 data_time: 0.0023 memory: 1013 2022/11/02 15:40:24 - mmengine - INFO - Epoch(val) [300][70/500] eta: 0:00:20 time: 0.0488 data_time: 0.0025 memory: 1013 2022/11/02 15:40:25 - mmengine - INFO - Epoch(val) [300][75/500] eta: 0:00:20 time: 0.0447 data_time: 0.0027 memory: 1013 2022/11/02 15:40:25 - mmengine - INFO - Epoch(val) [300][80/500] eta: 0:00:16 time: 0.0396 data_time: 0.0026 memory: 1013 2022/11/02 15:40:25 - mmengine - INFO - Epoch(val) [300][85/500] eta: 0:00:16 time: 0.0453 data_time: 0.0034 memory: 1013 2022/11/02 15:40:25 - mmengine - INFO - Epoch(val) [300][90/500] eta: 0:00:21 time: 0.0523 data_time: 0.0036 memory: 1013 2022/11/02 15:40:26 - mmengine - INFO - Epoch(val) [300][95/500] eta: 0:00:21 time: 0.0491 data_time: 0.0028 memory: 1013 2022/11/02 15:40:26 - mmengine - INFO - Epoch(val) [300][100/500] eta: 0:00:17 time: 0.0442 data_time: 0.0028 memory: 1013 2022/11/02 15:40:26 - mmengine - INFO - Epoch(val) [300][105/500] eta: 0:00:17 time: 0.0431 data_time: 0.0029 memory: 1013 2022/11/02 15:40:26 - mmengine - INFO - Epoch(val) [300][110/500] eta: 0:00:17 time: 0.0445 data_time: 0.0030 memory: 1013 2022/11/02 15:40:27 - mmengine - INFO - Epoch(val) [300][115/500] eta: 0:00:17 time: 0.0498 data_time: 0.0035 memory: 1013 2022/11/02 15:40:27 - mmengine - INFO - Epoch(val) [300][120/500] eta: 0:00:19 time: 0.0522 data_time: 0.0038 memory: 1013 2022/11/02 15:40:27 - mmengine - INFO - Epoch(val) [300][125/500] eta: 0:00:19 time: 0.0482 data_time: 0.0035 memory: 1013 2022/11/02 15:40:27 - mmengine - INFO - Epoch(val) [300][130/500] eta: 0:00:17 time: 0.0486 data_time: 0.0037 memory: 1013 2022/11/02 15:40:28 - mmengine - INFO - Epoch(val) [300][135/500] eta: 0:00:17 time: 0.0499 data_time: 0.0040 memory: 1013 2022/11/02 15:40:28 - mmengine - INFO - Epoch(val) [300][140/500] eta: 0:00:17 time: 0.0499 data_time: 0.0039 memory: 1013 2022/11/02 15:40:28 - mmengine - INFO - Epoch(val) [300][145/500] eta: 0:00:17 time: 0.0502 data_time: 0.0033 memory: 1013 2022/11/02 15:40:28 - mmengine - INFO - Epoch(val) [300][150/500] eta: 0:00:17 time: 0.0492 data_time: 0.0030 memory: 1013 2022/11/02 15:40:29 - mmengine - INFO - Epoch(val) [300][155/500] eta: 0:00:17 time: 0.0531 data_time: 0.0028 memory: 1013 2022/11/02 15:40:29 - mmengine - INFO - Epoch(val) [300][160/500] eta: 0:00:18 time: 0.0548 data_time: 0.0030 memory: 1013 2022/11/02 15:40:29 - mmengine - INFO - Epoch(val) [300][165/500] eta: 0:00:18 time: 0.0583 data_time: 0.0048 memory: 1013 2022/11/02 15:40:29 - mmengine - INFO - Epoch(val) [300][170/500] eta: 0:00:18 time: 0.0573 data_time: 0.0050 memory: 1013 2022/11/02 15:40:30 - mmengine - INFO - Epoch(val) [300][175/500] eta: 0:00:18 time: 0.0463 data_time: 0.0034 memory: 1013 2022/11/02 15:40:30 - mmengine - INFO - Epoch(val) [300][180/500] eta: 0:00:15 time: 0.0469 data_time: 0.0032 memory: 1013 2022/11/02 15:40:30 - mmengine - INFO - Epoch(val) [300][185/500] eta: 0:00:15 time: 0.0501 data_time: 0.0033 memory: 1013 2022/11/02 15:40:30 - mmengine - INFO - Epoch(val) [300][190/500] eta: 0:00:15 time: 0.0500 data_time: 0.0030 memory: 1013 2022/11/02 15:40:31 - mmengine - INFO - Epoch(val) [300][195/500] eta: 0:00:15 time: 0.0461 data_time: 0.0027 memory: 1013 2022/11/02 15:40:31 - mmengine - INFO - Epoch(val) [300][200/500] eta: 0:00:15 time: 0.0524 data_time: 0.0028 memory: 1013 2022/11/02 15:40:31 - mmengine - INFO - Epoch(val) [300][205/500] eta: 0:00:15 time: 0.0522 data_time: 0.0029 memory: 1013 2022/11/02 15:40:31 - mmengine - INFO - Epoch(val) [300][210/500] eta: 0:00:11 time: 0.0414 data_time: 0.0029 memory: 1013 2022/11/02 15:40:32 - mmengine - INFO - Epoch(val) [300][215/500] eta: 0:00:11 time: 0.0437 data_time: 0.0027 memory: 1013 2022/11/02 15:40:32 - mmengine - INFO - Epoch(val) [300][220/500] eta: 0:00:12 time: 0.0447 data_time: 0.0027 memory: 1013 2022/11/02 15:40:32 - mmengine - INFO - Epoch(val) [300][225/500] eta: 0:00:12 time: 0.0490 data_time: 0.0031 memory: 1013 2022/11/02 15:40:32 - mmengine - INFO - Epoch(val) [300][230/500] eta: 0:00:12 time: 0.0466 data_time: 0.0028 memory: 1013 2022/11/02 15:40:32 - mmengine - INFO - Epoch(val) [300][235/500] eta: 0:00:12 time: 0.0427 data_time: 0.0026 memory: 1013 2022/11/02 15:40:33 - mmengine - INFO - Epoch(val) [300][240/500] eta: 0:00:12 time: 0.0497 data_time: 0.0028 memory: 1013 2022/11/02 15:40:33 - mmengine - INFO - Epoch(val) [300][245/500] eta: 0:00:12 time: 0.0505 data_time: 0.0030 memory: 1013 2022/11/02 15:40:33 - mmengine - INFO - Epoch(val) [300][250/500] eta: 0:00:12 time: 0.0508 data_time: 0.0030 memory: 1013 2022/11/02 15:40:33 - mmengine - INFO - Epoch(val) [300][255/500] eta: 0:00:12 time: 0.0500 data_time: 0.0029 memory: 1013 2022/11/02 15:40:34 - mmengine - INFO - Epoch(val) [300][260/500] eta: 0:00:12 time: 0.0519 data_time: 0.0035 memory: 1013 2022/11/02 15:40:34 - mmengine - INFO - Epoch(val) [300][265/500] eta: 0:00:12 time: 0.0545 data_time: 0.0038 memory: 1013 2022/11/02 15:40:35 - mmengine - INFO - Epoch(val) [300][270/500] eta: 0:00:25 time: 0.1095 data_time: 0.0638 memory: 1013 2022/11/02 15:40:35 - mmengine - INFO - Epoch(val) [300][275/500] eta: 0:00:25 time: 0.1040 data_time: 0.0630 memory: 1013 2022/11/02 15:40:35 - mmengine - INFO - Epoch(val) [300][280/500] eta: 0:00:10 time: 0.0489 data_time: 0.0028 memory: 1013 2022/11/02 15:40:36 - mmengine - INFO - Epoch(val) [300][285/500] eta: 0:00:10 time: 0.0512 data_time: 0.0038 memory: 1013 2022/11/02 15:40:36 - mmengine - INFO - Epoch(val) [300][290/500] eta: 0:00:10 time: 0.0511 data_time: 0.0056 memory: 1013 2022/11/02 15:40:36 - mmengine - INFO - Epoch(val) [300][295/500] eta: 0:00:10 time: 0.0524 data_time: 0.0050 memory: 1013 2022/11/02 15:40:36 - mmengine - INFO - Epoch(val) [300][300/500] eta: 0:00:09 time: 0.0491 data_time: 0.0031 memory: 1013 2022/11/02 15:40:37 - mmengine - INFO - Epoch(val) [300][305/500] eta: 0:00:09 time: 0.0450 data_time: 0.0032 memory: 1013 2022/11/02 15:40:37 - mmengine - INFO - Epoch(val) [300][310/500] eta: 0:00:08 time: 0.0425 data_time: 0.0030 memory: 1013 2022/11/02 15:40:37 - mmengine - INFO - Epoch(val) [300][315/500] eta: 0:00:08 time: 0.0470 data_time: 0.0027 memory: 1013 2022/11/02 15:40:37 - mmengine - INFO - Epoch(val) [300][320/500] eta: 0:00:09 time: 0.0500 data_time: 0.0032 memory: 1013 2022/11/02 15:40:38 - mmengine - INFO - Epoch(val) [300][325/500] eta: 0:00:09 time: 0.0590 data_time: 0.0037 memory: 1013 2022/11/02 15:40:38 - mmengine - INFO - Epoch(val) [300][330/500] eta: 0:00:09 time: 0.0553 data_time: 0.0031 memory: 1013 2022/11/02 15:40:38 - mmengine - INFO - Epoch(val) [300][335/500] eta: 0:00:09 time: 0.0417 data_time: 0.0026 memory: 1013 2022/11/02 15:40:38 - mmengine - INFO - Epoch(val) [300][340/500] eta: 0:00:08 time: 0.0518 data_time: 0.0028 memory: 1013 2022/11/02 15:40:39 - mmengine - INFO - Epoch(val) [300][345/500] eta: 0:00:08 time: 0.0554 data_time: 0.0031 memory: 1013 2022/11/02 15:40:39 - mmengine - INFO - Epoch(val) [300][350/500] eta: 0:00:08 time: 0.0542 data_time: 0.0032 memory: 1013 2022/11/02 15:40:39 - mmengine - INFO - Epoch(val) [300][355/500] eta: 0:00:08 time: 0.0523 data_time: 0.0032 memory: 1013 2022/11/02 15:40:39 - mmengine - INFO - Epoch(val) [300][360/500] eta: 0:00:06 time: 0.0495 data_time: 0.0033 memory: 1013 2022/11/02 15:40:40 - mmengine - INFO - Epoch(val) [300][365/500] eta: 0:00:06 time: 0.0535 data_time: 0.0034 memory: 1013 2022/11/02 15:40:40 - mmengine - INFO - Epoch(val) [300][370/500] eta: 0:00:05 time: 0.0457 data_time: 0.0031 memory: 1013 2022/11/02 15:40:40 - mmengine - INFO - Epoch(val) [300][375/500] eta: 0:00:05 time: 0.0404 data_time: 0.0027 memory: 1013 2022/11/02 15:40:40 - mmengine - INFO - Epoch(val) [300][380/500] eta: 0:00:05 time: 0.0467 data_time: 0.0028 memory: 1013 2022/11/02 15:40:41 - mmengine - INFO - Epoch(val) [300][385/500] eta: 0:00:05 time: 0.0535 data_time: 0.0039 memory: 1013 2022/11/02 15:40:41 - mmengine - INFO - Epoch(val) [300][390/500] eta: 0:00:05 time: 0.0502 data_time: 0.0038 memory: 1013 2022/11/02 15:40:41 - mmengine - INFO - Epoch(val) [300][395/500] eta: 0:00:05 time: 0.0460 data_time: 0.0031 memory: 1013 2022/11/02 15:40:41 - mmengine - INFO - Epoch(val) [300][400/500] eta: 0:00:04 time: 0.0458 data_time: 0.0031 memory: 1013 2022/11/02 15:40:41 - mmengine - INFO - Epoch(val) [300][405/500] eta: 0:00:04 time: 0.0462 data_time: 0.0027 memory: 1013 2022/11/02 15:40:42 - mmengine - INFO - Epoch(val) [300][410/500] eta: 0:00:04 time: 0.0479 data_time: 0.0027 memory: 1013 2022/11/02 15:40:42 - mmengine - INFO - Epoch(val) [300][415/500] eta: 0:00:04 time: 0.0452 data_time: 0.0027 memory: 1013 2022/11/02 15:40:43 - mmengine - INFO - Epoch(val) [300][420/500] eta: 0:00:08 time: 0.1021 data_time: 0.0648 memory: 1013 2022/11/02 15:40:43 - mmengine - INFO - Epoch(val) [300][425/500] eta: 0:00:08 time: 0.1038 data_time: 0.0645 memory: 1013 2022/11/02 15:40:43 - mmengine - INFO - Epoch(val) [300][430/500] eta: 0:00:03 time: 0.0434 data_time: 0.0025 memory: 1013 2022/11/02 15:40:43 - mmengine - INFO - Epoch(val) [300][435/500] eta: 0:00:03 time: 0.0415 data_time: 0.0031 memory: 1013 2022/11/02 15:40:44 - mmengine - INFO - Epoch(val) [300][440/500] eta: 0:00:02 time: 0.0426 data_time: 0.0031 memory: 1013 2022/11/02 15:40:44 - mmengine - INFO - Epoch(val) [300][445/500] eta: 0:00:02 time: 0.0470 data_time: 0.0030 memory: 1013 2022/11/02 15:40:44 - mmengine - INFO - Epoch(val) [300][450/500] eta: 0:00:02 time: 0.0500 data_time: 0.0029 memory: 1013 2022/11/02 15:40:44 - mmengine - INFO - Epoch(val) [300][455/500] eta: 0:00:02 time: 0.0473 data_time: 0.0026 memory: 1013 2022/11/02 15:40:45 - mmengine - INFO - Epoch(val) [300][460/500] eta: 0:00:01 time: 0.0443 data_time: 0.0028 memory: 1013 2022/11/02 15:40:45 - mmengine - INFO - Epoch(val) [300][465/500] eta: 0:00:01 time: 0.0417 data_time: 0.0028 memory: 1013 2022/11/02 15:40:45 - mmengine - INFO - Epoch(val) [300][470/500] eta: 0:00:01 time: 0.0445 data_time: 0.0026 memory: 1013 2022/11/02 15:40:45 - mmengine - INFO - Epoch(val) [300][475/500] eta: 0:00:01 time: 0.0474 data_time: 0.0030 memory: 1013 2022/11/02 15:40:45 - mmengine - INFO - Epoch(val) [300][480/500] eta: 0:00:00 time: 0.0481 data_time: 0.0035 memory: 1013 2022/11/02 15:40:46 - mmengine - INFO - Epoch(val) [300][485/500] eta: 0:00:00 time: 0.0477 data_time: 0.0035 memory: 1013 2022/11/02 15:40:46 - mmengine - INFO - Epoch(val) [300][490/500] eta: 0:00:00 time: 0.0475 data_time: 0.0032 memory: 1013 2022/11/02 15:40:46 - mmengine - INFO - Epoch(val) [300][495/500] eta: 0:00:00 time: 0.0491 data_time: 0.0030 memory: 1013 2022/11/02 15:40:46 - mmengine - INFO - Epoch(val) [300][500/500] eta: 0:00:00 time: 0.0453 data_time: 0.0028 memory: 1013 2022/11/02 15:40:46 - mmengine - INFO - Evaluating hmean-iou... 2022/11/02 15:40:46 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8228, precision: 0.7202, hmean: 0.7681 2022/11/02 15:40:46 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8228, precision: 0.7938, hmean: 0.8080 2022/11/02 15:40:46 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8185, precision: 0.8387, hmean: 0.8285 2022/11/02 15:40:46 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7973, precision: 0.8860, hmean: 0.8393 2022/11/02 15:40:46 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7362, precision: 0.9112, hmean: 0.8144 2022/11/02 15:40:46 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3991, precision: 0.9507, hmean: 0.5622 2022/11/02 15:40:46 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0029, precision: 0.7500, hmean: 0.0058 2022/11/02 15:40:46 - mmengine - INFO - Epoch(val) [300][500/500] icdar/precision: 0.8860 icdar/recall: 0.7973 icdar/hmean: 0.8393 2022/11/02 15:40:53 - mmengine - INFO - Epoch(train) [301][5/63] lr: 1.6692e-03 eta: 0:00:00 time: 0.9748 data_time: 0.2676 memory: 16395 loss: 1.9708 loss_prob: 1.1726 loss_thr: 0.6081 loss_db: 0.1901 2022/11/02 15:40:55 - mmengine - INFO - Epoch(train) [301][10/63] lr: 1.6692e-03 eta: 10:07:05 time: 0.8908 data_time: 0.2688 memory: 16395 loss: 1.8563 loss_prob: 1.1000 loss_thr: 0.5797 loss_db: 0.1766 2022/11/02 15:40:59 - mmengine - INFO - Epoch(train) [301][15/63] lr: 1.6692e-03 eta: 10:07:05 time: 0.6166 data_time: 0.0132 memory: 16395 loss: 1.9352 loss_prob: 1.1507 loss_thr: 0.6021 loss_db: 0.1824 2022/11/02 15:41:02 - mmengine - INFO - Epoch(train) [301][20/63] lr: 1.6692e-03 eta: 10:06:59 time: 0.6642 data_time: 0.0124 memory: 16395 loss: 2.1310 loss_prob: 1.2875 loss_thr: 0.6373 loss_db: 0.2063 2022/11/02 15:41:05 - mmengine - INFO - Epoch(train) [301][25/63] lr: 1.6692e-03 eta: 10:06:59 time: 0.6488 data_time: 0.0256 memory: 16395 loss: 2.2115 loss_prob: 1.3513 loss_thr: 0.6417 loss_db: 0.2185 2022/11/02 15:41:09 - mmengine - INFO - Epoch(train) [301][30/63] lr: 1.6692e-03 eta: 10:06:53 time: 0.6626 data_time: 0.0430 memory: 16395 loss: 2.0295 loss_prob: 1.2205 loss_thr: 0.6144 loss_db: 0.1946 2022/11/02 15:41:12 - mmengine - INFO - Epoch(train) [301][35/63] lr: 1.6692e-03 eta: 10:06:53 time: 0.6489 data_time: 0.0321 memory: 16395 loss: 1.9275 loss_prob: 1.1420 loss_thr: 0.6035 loss_db: 0.1820 2022/11/02 15:41:15 - mmengine - INFO - Epoch(train) [301][40/63] lr: 1.6692e-03 eta: 10:06:45 time: 0.5996 data_time: 0.0161 memory: 16395 loss: 2.1473 loss_prob: 1.2999 loss_thr: 0.6356 loss_db: 0.2118 2022/11/02 15:41:18 - mmengine - INFO - Epoch(train) [301][45/63] lr: 1.6692e-03 eta: 10:06:45 time: 0.5787 data_time: 0.0084 memory: 16395 loss: 2.1793 loss_prob: 1.3013 loss_thr: 0.6622 loss_db: 0.2158 2022/11/02 15:41:21 - mmengine - INFO - Epoch(train) [301][50/63] lr: 1.6692e-03 eta: 10:06:38 time: 0.5954 data_time: 0.0252 memory: 16395 loss: 2.0710 loss_prob: 1.2340 loss_thr: 0.6390 loss_db: 0.1981 2022/11/02 15:41:23 - mmengine - INFO - Epoch(train) [301][55/63] lr: 1.6692e-03 eta: 10:06:38 time: 0.5443 data_time: 0.0256 memory: 16395 loss: 2.1251 loss_prob: 1.2862 loss_thr: 0.6367 loss_db: 0.2022 2022/11/02 15:41:26 - mmengine - INFO - Epoch(train) [301][60/63] lr: 1.6692e-03 eta: 10:06:28 time: 0.5250 data_time: 0.0072 memory: 16395 loss: 1.9925 loss_prob: 1.1776 loss_thr: 0.6265 loss_db: 0.1884 2022/11/02 15:41:27 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:41:32 - mmengine - INFO - Epoch(train) [302][5/63] lr: 1.6676e-03 eta: 10:06:28 time: 0.7564 data_time: 0.2344 memory: 16395 loss: 2.2826 loss_prob: 1.3898 loss_thr: 0.6701 loss_db: 0.2227 2022/11/02 15:41:36 - mmengine - INFO - Epoch(train) [302][10/63] lr: 1.6676e-03 eta: 10:06:20 time: 0.8602 data_time: 0.2324 memory: 16395 loss: 2.6047 loss_prob: 1.6495 loss_thr: 0.6896 loss_db: 0.2656 2022/11/02 15:41:39 - mmengine - INFO - Epoch(train) [302][15/63] lr: 1.6676e-03 eta: 10:06:20 time: 0.6337 data_time: 0.0082 memory: 16395 loss: 2.4053 loss_prob: 1.5083 loss_thr: 0.6510 loss_db: 0.2461 2022/11/02 15:41:42 - mmengine - INFO - Epoch(train) [302][20/63] lr: 1.6676e-03 eta: 10:06:13 time: 0.6136 data_time: 0.0062 memory: 16395 loss: 2.1903 loss_prob: 1.3368 loss_thr: 0.6379 loss_db: 0.2156 2022/11/02 15:41:45 - mmengine - INFO - Epoch(train) [302][25/63] lr: 1.6676e-03 eta: 10:06:13 time: 0.6306 data_time: 0.0168 memory: 16395 loss: 2.0967 loss_prob: 1.2536 loss_thr: 0.6415 loss_db: 0.2015 2022/11/02 15:41:48 - mmengine - INFO - Epoch(train) [302][30/63] lr: 1.6676e-03 eta: 10:06:05 time: 0.6134 data_time: 0.0455 memory: 16395 loss: 2.1464 loss_prob: 1.2924 loss_thr: 0.6400 loss_db: 0.2140 2022/11/02 15:41:51 - mmengine - INFO - Epoch(train) [302][35/63] lr: 1.6676e-03 eta: 10:06:05 time: 0.6101 data_time: 0.0359 memory: 16395 loss: 2.2413 loss_prob: 1.3454 loss_thr: 0.6706 loss_db: 0.2253 2022/11/02 15:41:53 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:41:54 - mmengine - INFO - Epoch(train) [302][40/63] lr: 1.6676e-03 eta: 10:05:59 time: 0.6343 data_time: 0.0100 memory: 16395 loss: 2.1156 loss_prob: 1.2524 loss_thr: 0.6562 loss_db: 0.2069 2022/11/02 15:41:57 - mmengine - INFO - Epoch(train) [302][45/63] lr: 1.6676e-03 eta: 10:05:59 time: 0.5675 data_time: 0.0086 memory: 16395 loss: 2.0377 loss_prob: 1.2109 loss_thr: 0.6321 loss_db: 0.1947 2022/11/02 15:42:00 - mmengine - INFO - Epoch(train) [302][50/63] lr: 1.6676e-03 eta: 10:05:49 time: 0.5218 data_time: 0.0178 memory: 16395 loss: 2.2183 loss_prob: 1.3462 loss_thr: 0.6577 loss_db: 0.2143 2022/11/02 15:42:03 - mmengine - INFO - Epoch(train) [302][55/63] lr: 1.6676e-03 eta: 10:05:49 time: 0.5735 data_time: 0.0280 memory: 16395 loss: 2.1694 loss_prob: 1.3186 loss_thr: 0.6388 loss_db: 0.2121 2022/11/02 15:42:06 - mmengine - INFO - Epoch(train) [302][60/63] lr: 1.6676e-03 eta: 10:05:41 time: 0.5910 data_time: 0.0156 memory: 16395 loss: 2.1175 loss_prob: 1.2690 loss_thr: 0.6449 loss_db: 0.2036 2022/11/02 15:42:07 - mmengine - INFO - Exp name: dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917 2022/11/02 15:42:13 - mmengine - INFO - Epoch(train) [3