2022/12/19 20:10:45 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.8.15 (default, Nov 24 2022, 15:19:38) [GCC 11.2.0] CUDA available: True numpy_random_seed: 1166016043 GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: None GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) PyTorch: 1.10.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX512 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, 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 -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-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=1.10.0, 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: 0.11.0 OpenCV: 4.6.0 MMEngine: 0.3.1 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: pytorch Distributed training: True GPU number: 4 ------------------------------------------------------------ 2022/12/19 20:10:45 - mmengine - INFO - Config: file_client_args = dict(backend='disk') model = dict( type='DBNet', backbone=dict( type='mmdet.ResNet', depth=18, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=-1, norm_cfg=dict(type='BN', requires_grad=True), init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet18'), norm_eval=False, style='caffe'), neck=dict( type='FPNC', in_channels=[64, 128, 256, 512], 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_polygon=True, with_bbox=True, with_label=True), dict(type='FixInvalidPolygon', min_poly_points=4), 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=(1333, 736), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict(type='FixInvalidPolygon', min_poly_points=4), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] totaltext_textdet_data_root = 'data/totaltext' totaltext_textdet_train = dict( type='OCRDataset', data_root='data/totaltext', ann_file='textdet_train.json', 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_polygon=True, with_bbox=True, with_label=True), dict(type='FixInvalidPolygon', min_poly_points=4), 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')) ]) totaltext_textdet_test = dict( type='OCRDataset', data_root='data/totaltext', ann_file='textdet_test.json', test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1333, 736), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict(type='FixInvalidPolygon', min_poly_points=4), 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', save_best='icdar/hmean', rule='greater'), 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=0.007, 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='PolyLR', power=0.9, eta_min=1e-07, end=1200)] train_dataloader = dict( batch_size=4, num_workers=16, pin_memory=True, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='OCRDataset', data_root='data/totaltext', ann_file='textdet_train.json', 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_polygon=True, with_bbox=True, with_label=True), dict(type='FixInvalidPolygon', min_poly_points=4), 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=1, pin_memory=True, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='data/totaltext', ann_file='textdet_test.json', test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1333, 736), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict(type='FixInvalidPolygon', min_poly_points=4), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) test_dataloader = dict( batch_size=1, num_workers=1, pin_memory=True, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='data/totaltext', ann_file='textdet_test.json', test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1333, 736), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict(type='FixInvalidPolygon', min_poly_points=4), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) auto_scale_lr = dict(base_batch_size=16) launcher = 'pytorch' work_dir = './work_dirs/dbnet_resnet18_fpnc_1200e_totaltext' 2022/12/19 20:10:45 - mmengine - INFO - Result has been saved to work_dirs/dbnet_resnet18_fpnc_1200e_totaltext/modules_statistic_results.json Name of parameter - Initialization information backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet18 backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.conv1.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.conv1.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.conv1.weight - torch.Size([128, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.downsample.0.weight - torch.Size([128, 64, 1, 1]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.downsample.1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.downsample.1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.conv1.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.conv1.weight - torch.Size([256, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.downsample.0.weight - torch.Size([256, 128, 1, 1]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.conv1.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.conv1.weight - torch.Size([512, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.conv1.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 neck.lateral_convs.0.conv.weight - torch.Size([256, 64, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.1.conv.weight - torch.Size([256, 128, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.2.conv.weight - torch.Size([256, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.3.conv.weight - torch.Size([256, 512, 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 2022/12/19 20:10:46 - mmengine - INFO - Checkpoints will be saved to work_dirs/dbnet_resnet18_fpnc_1200e_totaltext. 2022/12/19 20:10:52 - mmengine - INFO - Epoch(train) [1][5/79] lr: 7.0000e-03 eta: 1 day, 7:10:38 time: 1.1840 data_time: 0.3600 memory: 9798 loss: 12.7802 loss_prob: 9.8208 loss_thr: 2.0083 loss_db: 0.9512 2022/12/19 20:10:53 - mmengine - INFO - Epoch(train) [1][10/79] lr: 7.0000e-03 eta: 18:26:14 time: 0.7002 data_time: 0.1804 memory: 1833 loss: 9.3472 loss_prob: 6.8156 loss_thr: 1.6134 loss_db: 0.9182 2022/12/19 20:10:54 - mmengine - INFO - Epoch(train) [1][15/79] lr: 7.0000e-03 eta: 14:26:47 time: 0.2310 data_time: 0.0008 memory: 1833 loss: 5.5357 loss_prob: 3.4322 loss_thr: 1.2151 loss_db: 0.8884 2022/12/19 20:10:55 - mmengine - INFO - Epoch(train) [1][20/79] lr: 7.0000e-03 eta: 12:06:15 time: 0.2193 data_time: 0.0007 memory: 1833 loss: 5.1228 loss_prob: 2.9975 loss_thr: 1.2362 loss_db: 0.8891 2022/12/19 20:10:56 - mmengine - INFO - Epoch(train) [1][25/79] lr: 7.0000e-03 eta: 10:45:28 time: 0.1986 data_time: 0.0007 memory: 1833 loss: 5.0149 loss_prob: 2.9015 loss_thr: 1.2348 loss_db: 0.8787 2022/12/19 20:10:57 - mmengine - INFO - Epoch(train) [1][30/79] lr: 7.0000e-03 eta: 9:44:59 time: 0.1916 data_time: 0.0007 memory: 1833 loss: 4.8821 loss_prob: 2.8367 loss_thr: 1.2033 loss_db: 0.8421 2022/12/19 20:10:58 - mmengine - INFO - Epoch(train) [1][35/79] lr: 7.0000e-03 eta: 9:08:25 time: 0.1937 data_time: 0.0008 memory: 1833 loss: 4.8351 loss_prob: 2.8161 loss_thr: 1.1719 loss_db: 0.8472 2022/12/19 20:11:00 - mmengine - INFO - Epoch(train) [1][40/79] lr: 7.0000e-03 eta: 8:45:51 time: 0.2208 data_time: 0.0009 memory: 1833 loss: 4.7420 loss_prob: 2.8081 loss_thr: 1.1451 loss_db: 0.7889 2022/12/19 20:11:01 - mmengine - INFO - Epoch(train) [1][45/79] lr: 7.0000e-03 eta: 8:27:54 time: 0.2319 data_time: 0.0008 memory: 1833 loss: 4.5693 loss_prob: 2.7764 loss_thr: 1.0982 loss_db: 0.6948 2022/12/19 20:11:02 - mmengine - INFO - Epoch(train) [1][50/79] lr: 7.0000e-03 eta: 8:08:28 time: 0.2148 data_time: 0.0007 memory: 1833 loss: 4.5498 loss_prob: 2.7877 loss_thr: 1.0924 loss_db: 0.6697 2022/12/19 20:11:03 - mmengine - INFO - Epoch(train) [1][55/79] lr: 7.0000e-03 eta: 7:53:37 time: 0.2024 data_time: 0.0006 memory: 1833 loss: 4.5404 loss_prob: 2.7984 loss_thr: 1.1257 loss_db: 0.6164 2022/12/19 20:11:04 - mmengine - INFO - Epoch(train) [1][60/79] lr: 7.0000e-03 eta: 7:40:55 time: 0.2048 data_time: 0.0006 memory: 1833 loss: 4.3785 loss_prob: 2.7660 loss_thr: 1.0641 loss_db: 0.5483 2022/12/19 20:11:05 - mmengine - INFO - Epoch(train) [1][65/79] lr: 7.0000e-03 eta: 7:32:09 time: 0.2118 data_time: 0.0009 memory: 1833 loss: 4.2886 loss_prob: 2.7245 loss_thr: 1.0266 loss_db: 0.5375 2022/12/19 20:11:06 - mmengine - INFO - Epoch(train) [1][70/79] lr: 7.0000e-03 eta: 7:22:56 time: 0.2124 data_time: 0.0010 memory: 1833 loss: 4.2461 loss_prob: 2.6959 loss_thr: 1.0248 loss_db: 0.5254 2022/12/19 20:11:07 - mmengine - INFO - Epoch(train) [1][75/79] lr: 7.0000e-03 eta: 7:17:58 time: 0.2192 data_time: 0.0008 memory: 1833 loss: 4.1495 loss_prob: 2.6697 loss_thr: 0.9877 loss_db: 0.4921 2022/12/19 20:11:10 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:11:12 - mmengine - INFO - Epoch(train) [2][5/79] lr: 6.9947e-03 eta: 8:11:50 time: 0.5591 data_time: 0.1241 memory: 9173 loss: 4.0149 loss_prob: 2.6092 loss_thr: 0.9456 loss_db: 0.4601 2022/12/19 20:11:13 - mmengine - INFO - Epoch(train) [2][10/79] lr: 6.9947e-03 eta: 8:00:11 time: 0.3500 data_time: 0.1242 memory: 1833 loss: 3.9206 loss_prob: 2.5398 loss_thr: 0.9361 loss_db: 0.4446 2022/12/19 20:11:14 - mmengine - INFO - Epoch(train) [2][15/79] lr: 6.9947e-03 eta: 7:50:41 time: 0.1859 data_time: 0.0010 memory: 1833 loss: 3.9806 loss_prob: 2.5616 loss_thr: 0.9527 loss_db: 0.4663 2022/12/19 20:11:15 - mmengine - INFO - Epoch(train) [2][20/79] lr: 6.9947e-03 eta: 7:45:14 time: 0.2107 data_time: 0.0007 memory: 1833 loss: 3.9766 loss_prob: 2.5362 loss_thr: 0.9578 loss_db: 0.4826 2022/12/19 20:11:16 - mmengine - INFO - Epoch(train) [2][25/79] lr: 6.9947e-03 eta: 7:38:44 time: 0.2198 data_time: 0.0007 memory: 1833 loss: 3.9026 loss_prob: 2.5158 loss_thr: 0.9285 loss_db: 0.4582 2022/12/19 20:11:18 - mmengine - INFO - Epoch(train) [2][30/79] lr: 6.9947e-03 eta: 7:33:27 time: 0.2138 data_time: 0.0007 memory: 1833 loss: 3.8141 loss_prob: 2.4767 loss_thr: 0.9077 loss_db: 0.4296 2022/12/19 20:11:19 - mmengine - INFO - Epoch(train) [2][35/79] lr: 6.9947e-03 eta: 7:31:44 time: 0.2404 data_time: 0.0007 memory: 1833 loss: 3.8572 loss_prob: 2.4955 loss_thr: 0.9168 loss_db: 0.4449 2022/12/19 20:11:20 - mmengine - INFO - Epoch(train) [2][40/79] lr: 6.9947e-03 eta: 7:31:01 time: 0.2694 data_time: 0.0013 memory: 1833 loss: 3.8192 loss_prob: 2.4849 loss_thr: 0.8977 loss_db: 0.4365 2022/12/19 20:11:21 - mmengine - INFO - Epoch(train) [2][45/79] lr: 6.9947e-03 eta: 7:26:26 time: 0.2450 data_time: 0.0013 memory: 1833 loss: 3.6866 loss_prob: 2.4088 loss_thr: 0.8764 loss_db: 0.4014 2022/12/19 20:11:22 - mmengine - INFO - Epoch(train) [2][50/79] lr: 6.9947e-03 eta: 7:21:11 time: 0.2058 data_time: 0.0007 memory: 1833 loss: 3.6278 loss_prob: 2.3517 loss_thr: 0.8764 loss_db: 0.3998 2022/12/19 20:11:23 - mmengine - INFO - Epoch(train) [2][55/79] lr: 6.9947e-03 eta: 7:16:36 time: 0.1998 data_time: 0.0006 memory: 1833 loss: 3.4818 loss_prob: 2.2322 loss_thr: 0.8721 loss_db: 0.3775 2022/12/19 20:11:24 - mmengine - INFO - Epoch(train) [2][60/79] lr: 6.9947e-03 eta: 7:12:00 time: 0.1991 data_time: 0.0006 memory: 1833 loss: 3.3464 loss_prob: 2.1397 loss_thr: 0.8559 loss_db: 0.3507 2022/12/19 20:11:25 - mmengine - INFO - Epoch(train) [2][65/79] lr: 6.9947e-03 eta: 7:08:19 time: 0.2015 data_time: 0.0006 memory: 1833 loss: 3.3852 loss_prob: 2.1739 loss_thr: 0.8513 loss_db: 0.3599 2022/12/19 20:11:26 - mmengine - INFO - Epoch(train) [2][70/79] lr: 6.9947e-03 eta: 7:05:03 time: 0.2085 data_time: 0.0006 memory: 1833 loss: 3.5392 loss_prob: 2.2921 loss_thr: 0.8566 loss_db: 0.3905 2022/12/19 20:11:27 - mmengine - INFO - Epoch(train) [2][75/79] lr: 6.9947e-03 eta: 7:01:13 time: 0.2027 data_time: 0.0005 memory: 1833 loss: 3.4556 loss_prob: 2.2363 loss_thr: 0.8333 loss_db: 0.3860 2022/12/19 20:11:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:11:30 - mmengine - INFO - Epoch(train) [3][5/79] lr: 6.9895e-03 eta: 7:03:34 time: 0.2881 data_time: 0.0766 memory: 1833 loss: 3.2439 loss_prob: 2.0918 loss_thr: 0.8154 loss_db: 0.3367 2022/12/19 20:11:31 - mmengine - INFO - Epoch(train) [3][10/79] lr: 6.9895e-03 eta: 7:01:41 time: 0.3036 data_time: 0.0767 memory: 1833 loss: 3.6623 loss_prob: 2.3805 loss_thr: 0.8548 loss_db: 0.4269 2022/12/19 20:11:32 - mmengine - INFO - Epoch(train) [3][15/79] lr: 6.9895e-03 eta: 7:01:17 time: 0.2440 data_time: 0.0007 memory: 1833 loss: 3.8474 loss_prob: 2.4725 loss_thr: 0.9016 loss_db: 0.4734 2022/12/19 20:11:34 - mmengine - INFO - Epoch(train) [3][20/79] lr: 6.9895e-03 eta: 6:58:37 time: 0.2332 data_time: 0.0006 memory: 1833 loss: 3.4140 loss_prob: 2.1584 loss_thr: 0.8629 loss_db: 0.3926 2022/12/19 20:11:35 - mmengine - INFO - Epoch(train) [3][25/79] lr: 6.9895e-03 eta: 6:56:06 time: 0.2075 data_time: 0.0006 memory: 1833 loss: 3.3013 loss_prob: 2.0968 loss_thr: 0.8382 loss_db: 0.3662 2022/12/19 20:11:36 - mmengine - INFO - Epoch(train) [3][30/79] lr: 6.9895e-03 eta: 6:53:42 time: 0.2074 data_time: 0.0006 memory: 1833 loss: 3.3250 loss_prob: 2.1309 loss_thr: 0.8354 loss_db: 0.3587 2022/12/19 20:11:37 - mmengine - INFO - Epoch(train) [3][35/79] lr: 6.9895e-03 eta: 6:52:32 time: 0.2207 data_time: 0.0006 memory: 1833 loss: 3.4554 loss_prob: 2.2094 loss_thr: 0.8575 loss_db: 0.3885 2022/12/19 20:11:38 - mmengine - INFO - Epoch(train) [3][40/79] lr: 6.9895e-03 eta: 6:50:20 time: 0.2206 data_time: 0.0007 memory: 1833 loss: 3.4428 loss_prob: 2.2114 loss_thr: 0.8436 loss_db: 0.3878 2022/12/19 20:11:39 - mmengine - INFO - Epoch(train) [3][45/79] lr: 6.9895e-03 eta: 6:48:13 time: 0.2064 data_time: 0.0007 memory: 1833 loss: 3.2861 loss_prob: 2.1155 loss_thr: 0.8133 loss_db: 0.3572 2022/12/19 20:11:40 - mmengine - INFO - Epoch(train) [3][50/79] lr: 6.9895e-03 eta: 6:46:27 time: 0.2097 data_time: 0.0006 memory: 1833 loss: 3.1965 loss_prob: 2.0489 loss_thr: 0.8025 loss_db: 0.3451 2022/12/19 20:11:41 - mmengine - INFO - Epoch(train) [3][55/79] lr: 6.9895e-03 eta: 6:44:30 time: 0.2094 data_time: 0.0007 memory: 1833 loss: 3.1507 loss_prob: 2.0138 loss_thr: 0.7863 loss_db: 0.3506 2022/12/19 20:11:42 - mmengine - INFO - Epoch(train) [3][60/79] lr: 6.9895e-03 eta: 6:42:32 time: 0.2041 data_time: 0.0008 memory: 1833 loss: 3.2440 loss_prob: 2.0725 loss_thr: 0.8076 loss_db: 0.3639 2022/12/19 20:11:43 - mmengine - INFO - Epoch(train) [3][65/79] lr: 6.9895e-03 eta: 6:41:24 time: 0.2133 data_time: 0.0007 memory: 1833 loss: 3.3098 loss_prob: 2.1189 loss_thr: 0.8250 loss_db: 0.3659 2022/12/19 20:11:44 - mmengine - INFO - Epoch(train) [3][70/79] lr: 6.9895e-03 eta: 6:39:26 time: 0.2112 data_time: 0.0007 memory: 1833 loss: 3.2242 loss_prob: 2.0515 loss_thr: 0.8219 loss_db: 0.3508 2022/12/19 20:11:45 - mmengine - INFO - Epoch(train) [3][75/79] lr: 6.9895e-03 eta: 6:37:32 time: 0.1982 data_time: 0.0006 memory: 1833 loss: 3.2616 loss_prob: 2.0699 loss_thr: 0.8306 loss_db: 0.3611 2022/12/19 20:11:46 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:11:48 - mmengine - INFO - Epoch(train) [4][5/79] lr: 6.9842e-03 eta: 6:39:13 time: 0.2734 data_time: 0.0248 memory: 1833 loss: 3.2919 loss_prob: 2.0901 loss_thr: 0.8328 loss_db: 0.3690 2022/12/19 20:11:49 - mmengine - INFO - Epoch(train) [4][10/79] lr: 6.9842e-03 eta: 6:37:58 time: 0.2935 data_time: 0.0249 memory: 1833 loss: 3.3971 loss_prob: 2.1697 loss_thr: 0.8323 loss_db: 0.3951 2022/12/19 20:11:50 - mmengine - INFO - Epoch(train) [4][15/79] lr: 6.9842e-03 eta: 6:36:54 time: 0.2171 data_time: 0.0006 memory: 1833 loss: 3.3163 loss_prob: 2.1130 loss_thr: 0.8261 loss_db: 0.3771 2022/12/19 20:11:51 - mmengine - INFO - Epoch(train) [4][20/79] lr: 6.9842e-03 eta: 6:36:26 time: 0.2282 data_time: 0.0007 memory: 1833 loss: 3.1080 loss_prob: 1.9647 loss_thr: 0.8100 loss_db: 0.3332 2022/12/19 20:11:52 - mmengine - INFO - Epoch(train) [4][25/79] lr: 6.9842e-03 eta: 6:34:53 time: 0.2191 data_time: 0.0007 memory: 1833 loss: 3.2065 loss_prob: 2.0500 loss_thr: 0.8088 loss_db: 0.3478 2022/12/19 20:11:53 - mmengine - INFO - Epoch(train) [4][30/79] lr: 6.9842e-03 eta: 6:33:25 time: 0.2013 data_time: 0.0006 memory: 1833 loss: 3.2184 loss_prob: 2.0422 loss_thr: 0.8286 loss_db: 0.3476 2022/12/19 20:11:54 - mmengine - INFO - Epoch(train) [4][35/79] lr: 6.9842e-03 eta: 6:32:00 time: 0.2015 data_time: 0.0006 memory: 1833 loss: 3.4536 loss_prob: 2.2136 loss_thr: 0.8371 loss_db: 0.4029 2022/12/19 20:11:55 - mmengine - INFO - Epoch(train) [4][40/79] lr: 6.9842e-03 eta: 6:31:22 time: 0.2143 data_time: 0.0007 memory: 1833 loss: 3.7866 loss_prob: 2.5012 loss_thr: 0.8270 loss_db: 0.4583 2022/12/19 20:11:56 - mmengine - INFO - Epoch(train) [4][45/79] lr: 6.9842e-03 eta: 6:30:21 time: 0.2202 data_time: 0.0007 memory: 1833 loss: 3.5758 loss_prob: 2.3447 loss_thr: 0.8177 loss_db: 0.4135 2022/12/19 20:11:57 - mmengine - INFO - Epoch(train) [4][50/79] lr: 6.9842e-03 eta: 6:30:46 time: 0.2385 data_time: 0.0007 memory: 1833 loss: 3.2301 loss_prob: 2.0785 loss_thr: 0.7918 loss_db: 0.3598 2022/12/19 20:11:59 - mmengine - INFO - Epoch(train) [4][55/79] lr: 6.9842e-03 eta: 6:29:56 time: 0.2406 data_time: 0.0007 memory: 1833 loss: 3.0340 loss_prob: 1.9430 loss_thr: 0.7590 loss_db: 0.3320 2022/12/19 20:12:00 - mmengine - INFO - Epoch(train) [4][60/79] lr: 6.9842e-03 eta: 6:29:02 time: 0.2161 data_time: 0.0006 memory: 1833 loss: 3.1465 loss_prob: 2.0339 loss_thr: 0.7630 loss_db: 0.3495 2022/12/19 20:12:01 - mmengine - INFO - Epoch(train) [4][65/79] lr: 6.9842e-03 eta: 6:28:55 time: 0.2291 data_time: 0.0007 memory: 1833 loss: 3.3089 loss_prob: 2.1363 loss_thr: 0.7995 loss_db: 0.3731 2022/12/19 20:12:02 - mmengine - INFO - Epoch(train) [4][70/79] lr: 6.9842e-03 eta: 6:28:00 time: 0.2278 data_time: 0.0007 memory: 1833 loss: 3.1941 loss_prob: 2.0232 loss_thr: 0.8135 loss_db: 0.3575 2022/12/19 20:12:03 - mmengine - INFO - Epoch(train) [4][75/79] lr: 6.9842e-03 eta: 6:27:04 time: 0.2111 data_time: 0.0007 memory: 1833 loss: 3.3517 loss_prob: 2.1304 loss_thr: 0.8374 loss_db: 0.3839 2022/12/19 20:12:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:12:06 - mmengine - INFO - Epoch(train) [5][5/79] lr: 6.9790e-03 eta: 6:31:35 time: 0.3360 data_time: 0.1078 memory: 1833 loss: 3.1827 loss_prob: 2.0158 loss_thr: 0.7947 loss_db: 0.3722 2022/12/19 20:12:07 - mmengine - INFO - Epoch(train) [5][10/79] lr: 6.9790e-03 eta: 6:31:07 time: 0.3589 data_time: 0.1078 memory: 1833 loss: 3.0553 loss_prob: 1.9311 loss_thr: 0.7969 loss_db: 0.3273 2022/12/19 20:12:08 - mmengine - INFO - Epoch(train) [5][15/79] lr: 6.9790e-03 eta: 6:30:27 time: 0.2258 data_time: 0.0007 memory: 1833 loss: 3.2875 loss_prob: 2.0739 loss_thr: 0.8473 loss_db: 0.3663 2022/12/19 20:12:09 - mmengine - INFO - Epoch(train) [5][20/79] lr: 6.9790e-03 eta: 6:29:42 time: 0.2192 data_time: 0.0007 memory: 1833 loss: 3.1408 loss_prob: 1.9727 loss_thr: 0.8161 loss_db: 0.3519 2022/12/19 20:12:11 - mmengine - INFO - Epoch(train) [5][25/79] lr: 6.9790e-03 eta: 6:28:52 time: 0.2145 data_time: 0.0007 memory: 1833 loss: 2.9538 loss_prob: 1.8462 loss_thr: 0.7894 loss_db: 0.3182 2022/12/19 20:12:12 - mmengine - INFO - Epoch(train) [5][30/79] lr: 6.9790e-03 eta: 6:28:11 time: 0.2151 data_time: 0.0006 memory: 1833 loss: 3.0505 loss_prob: 1.9175 loss_thr: 0.8002 loss_db: 0.3328 2022/12/19 20:12:13 - mmengine - INFO - Epoch(train) [5][35/79] lr: 6.9790e-03 eta: 6:26:49 time: 0.2022 data_time: 0.0007 memory: 1833 loss: 2.9586 loss_prob: 1.8635 loss_thr: 0.7742 loss_db: 0.3209 2022/12/19 20:12:14 - mmengine - INFO - Epoch(train) [5][40/79] lr: 6.9790e-03 eta: 6:27:36 time: 0.2342 data_time: 0.0008 memory: 1833 loss: 2.8602 loss_prob: 1.7992 loss_thr: 0.7538 loss_db: 0.3073 2022/12/19 20:12:15 - mmengine - INFO - Epoch(train) [5][45/79] lr: 6.9790e-03 eta: 6:27:19 time: 0.2581 data_time: 0.0009 memory: 1833 loss: 2.8755 loss_prob: 1.8080 loss_thr: 0.7589 loss_db: 0.3085 2022/12/19 20:12:16 - mmengine - INFO - Epoch(train) [5][50/79] lr: 6.9790e-03 eta: 6:27:23 time: 0.2420 data_time: 0.0007 memory: 1833 loss: 2.7714 loss_prob: 1.7343 loss_thr: 0.7445 loss_db: 0.2927 2022/12/19 20:12:17 - mmengine - INFO - Epoch(train) [5][55/79] lr: 6.9790e-03 eta: 6:26:37 time: 0.2306 data_time: 0.0006 memory: 1833 loss: 2.7311 loss_prob: 1.7145 loss_thr: 0.7314 loss_db: 0.2852 2022/12/19 20:12:18 - mmengine - INFO - Epoch(train) [5][60/79] lr: 6.9790e-03 eta: 6:25:51 time: 0.2107 data_time: 0.0006 memory: 1833 loss: 3.0002 loss_prob: 1.9364 loss_thr: 0.7456 loss_db: 0.3182 2022/12/19 20:12:19 - mmengine - INFO - Epoch(train) [5][65/79] lr: 6.9790e-03 eta: 6:24:26 time: 0.1937 data_time: 0.0006 memory: 1833 loss: 2.9670 loss_prob: 1.9238 loss_thr: 0.7241 loss_db: 0.3191 2022/12/19 20:12:20 - mmengine - INFO - Epoch(train) [5][70/79] lr: 6.9790e-03 eta: 6:23:40 time: 0.1925 data_time: 0.0006 memory: 1833 loss: 2.9865 loss_prob: 1.8990 loss_thr: 0.7527 loss_db: 0.3348 2022/12/19 20:12:22 - mmengine - INFO - Epoch(train) [5][75/79] lr: 6.9790e-03 eta: 6:23:16 time: 0.2163 data_time: 0.0007 memory: 1833 loss: 3.0763 loss_prob: 1.9377 loss_thr: 0.7954 loss_db: 0.3432 2022/12/19 20:12:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:12:24 - mmengine - INFO - Epoch(train) [6][5/79] lr: 6.9737e-03 eta: 6:25:42 time: 0.3033 data_time: 0.0534 memory: 1833 loss: 2.8288 loss_prob: 1.7689 loss_thr: 0.7594 loss_db: 0.3005 2022/12/19 20:12:26 - mmengine - INFO - Epoch(train) [6][10/79] lr: 6.9737e-03 eta: 6:25:30 time: 0.3255 data_time: 0.0534 memory: 1833 loss: 2.8233 loss_prob: 1.7938 loss_thr: 0.7275 loss_db: 0.3020 2022/12/19 20:12:27 - mmengine - INFO - Epoch(train) [6][15/79] lr: 6.9737e-03 eta: 6:25:46 time: 0.2480 data_time: 0.0006 memory: 1833 loss: 2.8757 loss_prob: 1.8319 loss_thr: 0.7329 loss_db: 0.3109 2022/12/19 20:12:28 - mmengine - INFO - Epoch(train) [6][20/79] lr: 6.9737e-03 eta: 6:25:03 time: 0.2343 data_time: 0.0007 memory: 1833 loss: 3.0704 loss_prob: 1.9468 loss_thr: 0.7802 loss_db: 0.3434 2022/12/19 20:12:29 - mmengine - INFO - Epoch(train) [6][25/79] lr: 6.9737e-03 eta: 6:25:20 time: 0.2344 data_time: 0.0007 memory: 1833 loss: 3.3119 loss_prob: 2.1213 loss_thr: 0.8047 loss_db: 0.3859 2022/12/19 20:12:30 - mmengine - INFO - Epoch(train) [6][30/79] lr: 6.9737e-03 eta: 6:24:46 time: 0.2380 data_time: 0.0006 memory: 1833 loss: 3.0185 loss_prob: 1.9165 loss_thr: 0.7666 loss_db: 0.3354 2022/12/19 20:12:32 - mmengine - INFO - Epoch(train) [6][35/79] lr: 6.9737e-03 eta: 6:25:15 time: 0.2441 data_time: 0.0010 memory: 1833 loss: 2.8235 loss_prob: 1.7665 loss_thr: 0.7521 loss_db: 0.3048 2022/12/19 20:12:33 - mmengine - INFO - Epoch(train) [6][40/79] lr: 6.9737e-03 eta: 6:24:36 time: 0.2412 data_time: 0.0011 memory: 1833 loss: 2.9345 loss_prob: 1.8522 loss_thr: 0.7597 loss_db: 0.3225 2022/12/19 20:12:34 - mmengine - INFO - Epoch(train) [6][45/79] lr: 6.9737e-03 eta: 6:24:27 time: 0.2237 data_time: 0.0008 memory: 1833 loss: 3.0389 loss_prob: 1.9316 loss_thr: 0.7766 loss_db: 0.3308 2022/12/19 20:12:35 - mmengine - INFO - Epoch(train) [6][50/79] lr: 6.9737e-03 eta: 6:24:04 time: 0.2308 data_time: 0.0007 memory: 1833 loss: 3.1169 loss_prob: 1.9986 loss_thr: 0.7772 loss_db: 0.3410 2022/12/19 20:12:36 - mmengine - INFO - Epoch(train) [6][55/79] lr: 6.9737e-03 eta: 6:23:19 time: 0.2131 data_time: 0.0007 memory: 1833 loss: 3.0272 loss_prob: 1.9398 loss_thr: 0.7555 loss_db: 0.3320 2022/12/19 20:12:37 - mmengine - INFO - Epoch(train) [6][60/79] lr: 6.9737e-03 eta: 6:22:25 time: 0.1974 data_time: 0.0007 memory: 1833 loss: 2.8873 loss_prob: 1.8140 loss_thr: 0.7641 loss_db: 0.3092 2022/12/19 20:12:38 - mmengine - INFO - Epoch(train) [6][65/79] lr: 6.9737e-03 eta: 6:22:11 time: 0.2116 data_time: 0.0006 memory: 1833 loss: 2.8339 loss_prob: 1.7667 loss_thr: 0.7665 loss_db: 0.3008 2022/12/19 20:12:39 - mmengine - INFO - Epoch(train) [6][70/79] lr: 6.9737e-03 eta: 6:22:33 time: 0.2482 data_time: 0.0007 memory: 1833 loss: 2.9825 loss_prob: 1.8876 loss_thr: 0.7785 loss_db: 0.3164 2022/12/19 20:12:40 - mmengine - INFO - Epoch(train) [6][75/79] lr: 6.9737e-03 eta: 6:21:42 time: 0.2302 data_time: 0.0007 memory: 1833 loss: 2.8973 loss_prob: 1.8186 loss_thr: 0.7806 loss_db: 0.2981 2022/12/19 20:12:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:12:43 - mmengine - INFO - Epoch(train) [7][5/79] lr: 6.9685e-03 eta: 6:23:40 time: 0.2968 data_time: 0.0542 memory: 1833 loss: 2.8899 loss_prob: 1.8094 loss_thr: 0.7731 loss_db: 0.3075 2022/12/19 20:12:44 - mmengine - INFO - Epoch(train) [7][10/79] lr: 6.9685e-03 eta: 6:23:31 time: 0.3338 data_time: 0.0543 memory: 1833 loss: 2.8366 loss_prob: 1.7696 loss_thr: 0.7634 loss_db: 0.3035 2022/12/19 20:12:46 - mmengine - INFO - Epoch(train) [7][15/79] lr: 6.9685e-03 eta: 6:23:38 time: 0.2442 data_time: 0.0007 memory: 1833 loss: 2.7752 loss_prob: 1.7371 loss_thr: 0.7442 loss_db: 0.2938 2022/12/19 20:12:47 - mmengine - INFO - Epoch(train) [7][20/79] lr: 6.9685e-03 eta: 6:23:41 time: 0.2504 data_time: 0.0007 memory: 1833 loss: 2.9131 loss_prob: 1.8493 loss_thr: 0.7448 loss_db: 0.3189 2022/12/19 20:12:48 - mmengine - INFO - Epoch(train) [7][25/79] lr: 6.9685e-03 eta: 6:22:47 time: 0.2185 data_time: 0.0009 memory: 1833 loss: 2.8765 loss_prob: 1.8087 loss_thr: 0.7581 loss_db: 0.3097 2022/12/19 20:12:49 - mmengine - INFO - Epoch(train) [7][30/79] lr: 6.9685e-03 eta: 6:22:04 time: 0.1936 data_time: 0.0008 memory: 1833 loss: 2.9347 loss_prob: 1.8416 loss_thr: 0.7769 loss_db: 0.3162 2022/12/19 20:12:50 - mmengine - INFO - Epoch(train) [7][35/79] lr: 6.9685e-03 eta: 6:21:29 time: 0.2026 data_time: 0.0007 memory: 1833 loss: 2.9835 loss_prob: 1.8838 loss_thr: 0.7698 loss_db: 0.3299 2022/12/19 20:12:51 - mmengine - INFO - Epoch(train) [7][40/79] lr: 6.9685e-03 eta: 6:21:34 time: 0.2284 data_time: 0.0007 memory: 1833 loss: 2.8683 loss_prob: 1.8018 loss_thr: 0.7551 loss_db: 0.3115 2022/12/19 20:12:52 - mmengine - INFO - Epoch(train) [7][45/79] lr: 6.9685e-03 eta: 6:21:40 time: 0.2505 data_time: 0.0007 memory: 1833 loss: 2.7877 loss_prob: 1.7401 loss_thr: 0.7471 loss_db: 0.3006 2022/12/19 20:12:53 - mmengine - INFO - Epoch(train) [7][50/79] lr: 6.9685e-03 eta: 6:21:11 time: 0.2311 data_time: 0.0007 memory: 1833 loss: 2.8330 loss_prob: 1.7804 loss_thr: 0.7424 loss_db: 0.3102 2022/12/19 20:12:55 - mmengine - INFO - Epoch(train) [7][55/79] lr: 6.9685e-03 eta: 6:20:53 time: 0.2178 data_time: 0.0007 memory: 1833 loss: 3.1824 loss_prob: 2.0529 loss_thr: 0.7750 loss_db: 0.3545 2022/12/19 20:12:56 - mmengine - INFO - Epoch(train) [7][60/79] lr: 6.9685e-03 eta: 6:20:55 time: 0.2349 data_time: 0.0007 memory: 1833 loss: 3.0574 loss_prob: 1.9635 loss_thr: 0.7632 loss_db: 0.3307 2022/12/19 20:12:57 - mmengine - INFO - Epoch(train) [7][65/79] lr: 6.9685e-03 eta: 6:20:25 time: 0.2276 data_time: 0.0006 memory: 1833 loss: 3.0632 loss_prob: 1.9495 loss_thr: 0.7702 loss_db: 0.3435 2022/12/19 20:12:58 - mmengine - INFO - Epoch(train) [7][70/79] lr: 6.9685e-03 eta: 6:19:32 time: 0.1959 data_time: 0.0006 memory: 1833 loss: 3.1156 loss_prob: 1.9748 loss_thr: 0.7826 loss_db: 0.3581 2022/12/19 20:12:59 - mmengine - INFO - Epoch(train) [7][75/79] lr: 6.9685e-03 eta: 6:18:56 time: 0.1921 data_time: 0.0005 memory: 1833 loss: 2.8587 loss_prob: 1.7999 loss_thr: 0.7495 loss_db: 0.3093 2022/12/19 20:13:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:13:02 - mmengine - INFO - Epoch(train) [8][5/79] lr: 6.9632e-03 eta: 6:20:54 time: 0.3106 data_time: 0.0319 memory: 1833 loss: 2.9044 loss_prob: 1.8716 loss_thr: 0.7322 loss_db: 0.3007 2022/12/19 20:13:03 - mmengine - INFO - Epoch(train) [8][10/79] lr: 6.9632e-03 eta: 6:21:27 time: 0.3457 data_time: 0.0321 memory: 1833 loss: 3.1148 loss_prob: 2.0160 loss_thr: 0.7691 loss_db: 0.3297 2022/12/19 20:13:04 - mmengine - INFO - Epoch(train) [8][15/79] lr: 6.9632e-03 eta: 6:21:08 time: 0.2525 data_time: 0.0008 memory: 1833 loss: 2.7143 loss_prob: 1.7079 loss_thr: 0.7196 loss_db: 0.2868 2022/12/19 20:13:05 - mmengine - INFO - Epoch(train) [8][20/79] lr: 6.9632e-03 eta: 6:20:56 time: 0.2252 data_time: 0.0007 memory: 1833 loss: 2.6982 loss_prob: 1.6918 loss_thr: 0.7257 loss_db: 0.2807 2022/12/19 20:13:06 - mmengine - INFO - Epoch(train) [8][25/79] lr: 6.9632e-03 eta: 6:20:52 time: 0.2339 data_time: 0.0007 memory: 1833 loss: 2.6826 loss_prob: 1.6817 loss_thr: 0.7231 loss_db: 0.2778 2022/12/19 20:13:07 - mmengine - INFO - Epoch(train) [8][30/79] lr: 6.9632e-03 eta: 6:20:10 time: 0.2158 data_time: 0.0007 memory: 1833 loss: 2.6249 loss_prob: 1.6219 loss_thr: 0.7349 loss_db: 0.2681 2022/12/19 20:13:09 - mmengine - INFO - Epoch(train) [8][35/79] lr: 6.9632e-03 eta: 6:19:56 time: 0.2094 data_time: 0.0007 memory: 1833 loss: 2.6595 loss_prob: 1.6337 loss_thr: 0.7527 loss_db: 0.2731 2022/12/19 20:13:10 - mmengine - INFO - Epoch(train) [8][40/79] lr: 6.9632e-03 eta: 6:19:26 time: 0.2162 data_time: 0.0007 memory: 1833 loss: 2.7982 loss_prob: 1.7525 loss_thr: 0.7504 loss_db: 0.2953 2022/12/19 20:13:11 - mmengine - INFO - Epoch(train) [8][45/79] lr: 6.9632e-03 eta: 6:19:09 time: 0.2138 data_time: 0.0007 memory: 1833 loss: 2.7710 loss_prob: 1.7457 loss_thr: 0.7290 loss_db: 0.2963 2022/12/19 20:13:12 - mmengine - INFO - Epoch(train) [8][50/79] lr: 6.9632e-03 eta: 6:18:52 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 2.7845 loss_prob: 1.7525 loss_thr: 0.7321 loss_db: 0.3000 2022/12/19 20:13:13 - mmengine - INFO - Epoch(train) [8][55/79] lr: 6.9632e-03 eta: 6:18:29 time: 0.2168 data_time: 0.0006 memory: 1833 loss: 2.6672 loss_prob: 1.6519 loss_thr: 0.7333 loss_db: 0.2820 2022/12/19 20:13:14 - mmengine - INFO - Epoch(train) [8][60/79] lr: 6.9632e-03 eta: 6:18:07 time: 0.2140 data_time: 0.0005 memory: 1833 loss: 2.5333 loss_prob: 1.5531 loss_thr: 0.7203 loss_db: 0.2599 2022/12/19 20:13:15 - mmengine - INFO - Epoch(train) [8][65/79] lr: 6.9632e-03 eta: 6:17:55 time: 0.2203 data_time: 0.0005 memory: 1833 loss: 2.6759 loss_prob: 1.6642 loss_thr: 0.7322 loss_db: 0.2795 2022/12/19 20:13:16 - mmengine - INFO - Epoch(train) [8][70/79] lr: 6.9632e-03 eta: 6:17:20 time: 0.2117 data_time: 0.0005 memory: 1833 loss: 2.8708 loss_prob: 1.8090 loss_thr: 0.7530 loss_db: 0.3087 2022/12/19 20:13:17 - mmengine - INFO - Epoch(train) [8][75/79] lr: 6.9632e-03 eta: 6:17:04 time: 0.2083 data_time: 0.0005 memory: 1833 loss: 2.8628 loss_prob: 1.8143 loss_thr: 0.7409 loss_db: 0.3076 2022/12/19 20:13:18 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:13:20 - mmengine - INFO - Epoch(train) [9][5/79] lr: 6.9580e-03 eta: 6:19:27 time: 0.3378 data_time: 0.0377 memory: 1833 loss: 2.6374 loss_prob: 1.6302 loss_thr: 0.7394 loss_db: 0.2678 2022/12/19 20:13:21 - mmengine - INFO - Epoch(train) [9][10/79] lr: 6.9580e-03 eta: 6:19:20 time: 0.3707 data_time: 0.0377 memory: 1833 loss: 2.5476 loss_prob: 1.5755 loss_thr: 0.7143 loss_db: 0.2578 2022/12/19 20:13:22 - mmengine - INFO - Epoch(train) [9][15/79] lr: 6.9580e-03 eta: 6:18:49 time: 0.2173 data_time: 0.0006 memory: 1833 loss: 2.9579 loss_prob: 1.8689 loss_thr: 0.7628 loss_db: 0.3262 2022/12/19 20:13:24 - mmengine - INFO - Epoch(train) [9][20/79] lr: 6.9580e-03 eta: 6:18:53 time: 0.2250 data_time: 0.0007 memory: 1833 loss: 2.9759 loss_prob: 1.8825 loss_thr: 0.7596 loss_db: 0.3338 2022/12/19 20:13:25 - mmengine - INFO - Epoch(train) [9][25/79] lr: 6.9580e-03 eta: 6:18:27 time: 0.2274 data_time: 0.0007 memory: 1833 loss: 2.8365 loss_prob: 1.7647 loss_thr: 0.7673 loss_db: 0.3045 2022/12/19 20:13:26 - mmengine - INFO - Epoch(train) [9][30/79] lr: 6.9580e-03 eta: 6:18:39 time: 0.2334 data_time: 0.0007 memory: 1833 loss: 2.7535 loss_prob: 1.7054 loss_thr: 0.7619 loss_db: 0.2862 2022/12/19 20:13:27 - mmengine - INFO - Epoch(train) [9][35/79] lr: 6.9580e-03 eta: 6:18:28 time: 0.2442 data_time: 0.0007 memory: 1833 loss: 2.5710 loss_prob: 1.5968 loss_thr: 0.7060 loss_db: 0.2682 2022/12/19 20:13:28 - mmengine - INFO - Epoch(train) [9][40/79] lr: 6.9580e-03 eta: 6:18:30 time: 0.2367 data_time: 0.0007 memory: 1833 loss: 2.6824 loss_prob: 1.6803 loss_thr: 0.7184 loss_db: 0.2836 2022/12/19 20:13:30 - mmengine - INFO - Epoch(train) [9][45/79] lr: 6.9580e-03 eta: 6:18:17 time: 0.2346 data_time: 0.0007 memory: 1833 loss: 2.7209 loss_prob: 1.7052 loss_thr: 0.7284 loss_db: 0.2873 2022/12/19 20:13:31 - mmengine - INFO - Epoch(train) [9][50/79] lr: 6.9580e-03 eta: 6:18:13 time: 0.2302 data_time: 0.0007 memory: 1833 loss: 2.8482 loss_prob: 1.8025 loss_thr: 0.7321 loss_db: 0.3136 2022/12/19 20:13:32 - mmengine - INFO - Epoch(train) [9][55/79] lr: 6.9580e-03 eta: 6:17:34 time: 0.2116 data_time: 0.0006 memory: 1833 loss: 2.9149 loss_prob: 1.8374 loss_thr: 0.7521 loss_db: 0.3254 2022/12/19 20:13:33 - mmengine - INFO - Epoch(train) [9][60/79] lr: 6.9580e-03 eta: 6:16:57 time: 0.1875 data_time: 0.0005 memory: 1833 loss: 2.8345 loss_prob: 1.7661 loss_thr: 0.7563 loss_db: 0.3122 2022/12/19 20:13:34 - mmengine - INFO - Epoch(train) [9][65/79] lr: 6.9580e-03 eta: 6:16:26 time: 0.1924 data_time: 0.0005 memory: 1833 loss: 2.8556 loss_prob: 1.8020 loss_thr: 0.7408 loss_db: 0.3127 2022/12/19 20:13:35 - mmengine - INFO - Epoch(train) [9][70/79] lr: 6.9580e-03 eta: 6:16:07 time: 0.2049 data_time: 0.0005 memory: 1833 loss: 2.9674 loss_prob: 1.8747 loss_thr: 0.7713 loss_db: 0.3214 2022/12/19 20:13:36 - mmengine - INFO - Epoch(train) [9][75/79] lr: 6.9580e-03 eta: 6:16:31 time: 0.2456 data_time: 0.0007 memory: 1833 loss: 2.7652 loss_prob: 1.7295 loss_thr: 0.7441 loss_db: 0.2916 2022/12/19 20:13:37 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:13:39 - mmengine - INFO - Epoch(train) [10][5/79] lr: 6.9527e-03 eta: 6:18:55 time: 0.3531 data_time: 0.0257 memory: 1833 loss: 2.5012 loss_prob: 1.5522 loss_thr: 0.6836 loss_db: 0.2654 2022/12/19 20:13:40 - mmengine - INFO - Epoch(train) [10][10/79] lr: 6.9527e-03 eta: 6:18:44 time: 0.3710 data_time: 0.0257 memory: 1833 loss: 2.6803 loss_prob: 1.6715 loss_thr: 0.7232 loss_db: 0.2857 2022/12/19 20:13:42 - mmengine - INFO - Epoch(train) [10][15/79] lr: 6.9527e-03 eta: 6:18:26 time: 0.2216 data_time: 0.0007 memory: 1833 loss: 3.0794 loss_prob: 1.9587 loss_thr: 0.7940 loss_db: 0.3268 2022/12/19 20:13:43 - mmengine - INFO - Epoch(train) [10][20/79] lr: 6.9527e-03 eta: 6:17:56 time: 0.2060 data_time: 0.0007 memory: 1833 loss: 2.9381 loss_prob: 1.8628 loss_thr: 0.7661 loss_db: 0.3092 2022/12/19 20:13:43 - mmengine - INFO - Epoch(train) [10][25/79] lr: 6.9527e-03 eta: 6:17:19 time: 0.1909 data_time: 0.0006 memory: 1833 loss: 2.6843 loss_prob: 1.6799 loss_thr: 0.7261 loss_db: 0.2784 2022/12/19 20:13:44 - mmengine - INFO - Epoch(train) [10][30/79] lr: 6.9527e-03 eta: 6:16:57 time: 0.1961 data_time: 0.0007 memory: 1833 loss: 2.8144 loss_prob: 1.7807 loss_thr: 0.7334 loss_db: 0.3003 2022/12/19 20:13:46 - mmengine - INFO - Epoch(train) [10][35/79] lr: 6.9527e-03 eta: 6:16:37 time: 0.2092 data_time: 0.0007 memory: 1833 loss: 2.7176 loss_prob: 1.7084 loss_thr: 0.7168 loss_db: 0.2924 2022/12/19 20:13:47 - mmengine - INFO - Epoch(train) [10][40/79] lr: 6.9527e-03 eta: 6:16:33 time: 0.2236 data_time: 0.0007 memory: 1833 loss: 2.6329 loss_prob: 1.6360 loss_thr: 0.7164 loss_db: 0.2805 2022/12/19 20:13:48 - mmengine - INFO - Epoch(train) [10][45/79] lr: 6.9527e-03 eta: 6:16:07 time: 0.2183 data_time: 0.0006 memory: 1833 loss: 2.7100 loss_prob: 1.6915 loss_thr: 0.7291 loss_db: 0.2893 2022/12/19 20:13:49 - mmengine - INFO - Epoch(train) [10][50/79] lr: 6.9527e-03 eta: 6:15:53 time: 0.2095 data_time: 0.0007 memory: 1833 loss: 2.7861 loss_prob: 1.7422 loss_thr: 0.7447 loss_db: 0.2992 2022/12/19 20:13:50 - mmengine - INFO - Epoch(train) [10][55/79] lr: 6.9527e-03 eta: 6:15:45 time: 0.2235 data_time: 0.0006 memory: 1833 loss: 2.7503 loss_prob: 1.7064 loss_thr: 0.7519 loss_db: 0.2920 2022/12/19 20:13:51 - mmengine - INFO - Epoch(train) [10][60/79] lr: 6.9527e-03 eta: 6:15:07 time: 0.2047 data_time: 0.0005 memory: 1833 loss: 2.6496 loss_prob: 1.6477 loss_thr: 0.7239 loss_db: 0.2780 2022/12/19 20:13:52 - mmengine - INFO - Epoch(train) [10][65/79] lr: 6.9527e-03 eta: 6:15:01 time: 0.2058 data_time: 0.0007 memory: 1833 loss: 2.5689 loss_prob: 1.6051 loss_thr: 0.6950 loss_db: 0.2688 2022/12/19 20:13:53 - mmengine - INFO - Epoch(train) [10][70/79] lr: 6.9527e-03 eta: 6:14:48 time: 0.2255 data_time: 0.0008 memory: 1833 loss: 2.5842 loss_prob: 1.6153 loss_thr: 0.7105 loss_db: 0.2584 2022/12/19 20:13:54 - mmengine - INFO - Epoch(train) [10][75/79] lr: 6.9527e-03 eta: 6:14:18 time: 0.2049 data_time: 0.0006 memory: 1833 loss: 2.5343 loss_prob: 1.5831 loss_thr: 0.7002 loss_db: 0.2510 2022/12/19 20:13:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:13:57 - mmengine - INFO - Epoch(train) [11][5/79] lr: 6.9474e-03 eta: 6:15:51 time: 0.3139 data_time: 0.0305 memory: 1833 loss: 2.9364 loss_prob: 1.8588 loss_thr: 0.7636 loss_db: 0.3139 2022/12/19 20:13:58 - mmengine - INFO - Epoch(train) [11][10/79] lr: 6.9474e-03 eta: 6:15:44 time: 0.3419 data_time: 0.0306 memory: 1833 loss: 2.7076 loss_prob: 1.6721 loss_thr: 0.7565 loss_db: 0.2791 2022/12/19 20:13:59 - mmengine - INFO - Epoch(train) [11][15/79] lr: 6.9474e-03 eta: 6:15:29 time: 0.2237 data_time: 0.0007 memory: 1833 loss: 2.4334 loss_prob: 1.4825 loss_thr: 0.7060 loss_db: 0.2449 2022/12/19 20:14:00 - mmengine - INFO - Epoch(train) [11][20/79] lr: 6.9474e-03 eta: 6:15:14 time: 0.2158 data_time: 0.0007 memory: 1833 loss: 2.5923 loss_prob: 1.6033 loss_thr: 0.7173 loss_db: 0.2717 2022/12/19 20:14:01 - mmengine - INFO - Epoch(train) [11][25/79] lr: 6.9474e-03 eta: 6:15:00 time: 0.2169 data_time: 0.0007 memory: 1833 loss: 2.5811 loss_prob: 1.6069 loss_thr: 0.6986 loss_db: 0.2756 2022/12/19 20:14:03 - mmengine - INFO - Epoch(train) [11][30/79] lr: 6.9474e-03 eta: 6:14:58 time: 0.2274 data_time: 0.0007 memory: 1833 loss: 2.5169 loss_prob: 1.5573 loss_thr: 0.6932 loss_db: 0.2663 2022/12/19 20:14:04 - mmengine - INFO - Epoch(train) [11][35/79] lr: 6.9474e-03 eta: 6:14:56 time: 0.2378 data_time: 0.0007 memory: 1833 loss: 2.4947 loss_prob: 1.5292 loss_thr: 0.7098 loss_db: 0.2558 2022/12/19 20:14:05 - mmengine - INFO - Epoch(train) [11][40/79] lr: 6.9474e-03 eta: 6:14:42 time: 0.2276 data_time: 0.0007 memory: 1833 loss: 2.5872 loss_prob: 1.6172 loss_thr: 0.6981 loss_db: 0.2719 2022/12/19 20:14:06 - mmengine - INFO - Epoch(train) [11][45/79] lr: 6.9474e-03 eta: 6:14:27 time: 0.2157 data_time: 0.0007 memory: 1833 loss: 2.6881 loss_prob: 1.7010 loss_thr: 0.6938 loss_db: 0.2933 2022/12/19 20:14:07 - mmengine - INFO - Epoch(train) [11][50/79] lr: 6.9474e-03 eta: 6:14:04 time: 0.2077 data_time: 0.0007 memory: 1833 loss: 2.6013 loss_prob: 1.6113 loss_thr: 0.7133 loss_db: 0.2768 2022/12/19 20:14:08 - mmengine - INFO - Epoch(train) [11][55/79] lr: 6.9474e-03 eta: 6:14:11 time: 0.2266 data_time: 0.0007 memory: 1833 loss: 2.4970 loss_prob: 1.5268 loss_thr: 0.7131 loss_db: 0.2571 2022/12/19 20:14:09 - mmengine - INFO - Epoch(train) [11][60/79] lr: 6.9474e-03 eta: 6:13:35 time: 0.2148 data_time: 0.0007 memory: 1833 loss: 2.6925 loss_prob: 1.6824 loss_thr: 0.7280 loss_db: 0.2821 2022/12/19 20:14:10 - mmengine - INFO - Epoch(train) [11][65/79] lr: 6.9474e-03 eta: 6:13:00 time: 0.1763 data_time: 0.0007 memory: 1833 loss: 2.7300 loss_prob: 1.7286 loss_thr: 0.7066 loss_db: 0.2948 2022/12/19 20:14:11 - mmengine - INFO - Epoch(train) [11][70/79] lr: 6.9474e-03 eta: 6:13:02 time: 0.2104 data_time: 0.0006 memory: 1833 loss: 2.5964 loss_prob: 1.6188 loss_thr: 0.6961 loss_db: 0.2815 2022/12/19 20:14:12 - mmengine - INFO - Epoch(train) [11][75/79] lr: 6.9474e-03 eta: 6:12:52 time: 0.2330 data_time: 0.0006 memory: 1833 loss: 2.7720 loss_prob: 1.7095 loss_thr: 0.7601 loss_db: 0.3025 2022/12/19 20:14:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:14:15 - mmengine - INFO - Epoch(train) [12][5/79] lr: 6.9422e-03 eta: 6:14:34 time: 0.3387 data_time: 0.0354 memory: 1833 loss: 2.6966 loss_prob: 1.6759 loss_thr: 0.7301 loss_db: 0.2906 2022/12/19 20:14:16 - mmengine - INFO - Epoch(train) [12][10/79] lr: 6.9422e-03 eta: 6:14:16 time: 0.3428 data_time: 0.0355 memory: 1833 loss: 2.5219 loss_prob: 1.5525 loss_thr: 0.7138 loss_db: 0.2556 2022/12/19 20:14:18 - mmengine - INFO - Epoch(train) [12][15/79] lr: 6.9422e-03 eta: 6:14:02 time: 0.2117 data_time: 0.0007 memory: 1833 loss: 2.5122 loss_prob: 1.5389 loss_thr: 0.7168 loss_db: 0.2565 2022/12/19 20:14:19 - mmengine - INFO - Epoch(train) [12][20/79] lr: 6.9422e-03 eta: 6:13:56 time: 0.2226 data_time: 0.0007 memory: 1833 loss: 2.4185 loss_prob: 1.4841 loss_thr: 0.6821 loss_db: 0.2523 2022/12/19 20:14:20 - mmengine - INFO - Epoch(train) [12][25/79] lr: 6.9422e-03 eta: 6:13:57 time: 0.2358 data_time: 0.0007 memory: 1833 loss: 2.4548 loss_prob: 1.5058 loss_thr: 0.6946 loss_db: 0.2544 2022/12/19 20:14:21 - mmengine - INFO - Epoch(train) [12][30/79] lr: 6.9422e-03 eta: 6:13:38 time: 0.2235 data_time: 0.0006 memory: 1833 loss: 2.3513 loss_prob: 1.4359 loss_thr: 0.6729 loss_db: 0.2425 2022/12/19 20:14:22 - mmengine - INFO - Epoch(train) [12][35/79] lr: 6.9422e-03 eta: 6:13:40 time: 0.2248 data_time: 0.0007 memory: 1833 loss: 2.3548 loss_prob: 1.4453 loss_thr: 0.6658 loss_db: 0.2437 2022/12/19 20:14:23 - mmengine - INFO - Epoch(train) [12][40/79] lr: 6.9422e-03 eta: 6:13:35 time: 0.2385 data_time: 0.0007 memory: 1833 loss: 2.5384 loss_prob: 1.5621 loss_thr: 0.7160 loss_db: 0.2603 2022/12/19 20:14:25 - mmengine - INFO - Epoch(train) [12][45/79] lr: 6.9422e-03 eta: 6:13:43 time: 0.2447 data_time: 0.0007 memory: 1833 loss: 2.5202 loss_prob: 1.5490 loss_thr: 0.7092 loss_db: 0.2619 2022/12/19 20:14:26 - mmengine - INFO - Epoch(train) [12][50/79] lr: 6.9422e-03 eta: 6:13:37 time: 0.2435 data_time: 0.0009 memory: 1833 loss: 2.5173 loss_prob: 1.5527 loss_thr: 0.7033 loss_db: 0.2614 2022/12/19 20:14:27 - mmengine - INFO - Epoch(train) [12][55/79] lr: 6.9422e-03 eta: 6:13:02 time: 0.2001 data_time: 0.0008 memory: 1833 loss: 2.7380 loss_prob: 1.7064 loss_thr: 0.7378 loss_db: 0.2938 2022/12/19 20:14:28 - mmengine - INFO - Epoch(train) [12][60/79] lr: 6.9422e-03 eta: 6:12:35 time: 0.1798 data_time: 0.0006 memory: 1833 loss: 2.9929 loss_prob: 1.8961 loss_thr: 0.7647 loss_db: 0.3322 2022/12/19 20:14:29 - mmengine - INFO - Epoch(train) [12][65/79] lr: 6.9422e-03 eta: 6:12:33 time: 0.2125 data_time: 0.0007 memory: 1833 loss: 2.9121 loss_prob: 1.8426 loss_thr: 0.7586 loss_db: 0.3109 2022/12/19 20:14:30 - mmengine - INFO - Epoch(train) [12][70/79] lr: 6.9422e-03 eta: 6:12:24 time: 0.2288 data_time: 0.0007 memory: 1833 loss: 2.7772 loss_prob: 1.7363 loss_thr: 0.7492 loss_db: 0.2917 2022/12/19 20:14:31 - mmengine - INFO - Epoch(train) [12][75/79] lr: 6.9422e-03 eta: 6:12:41 time: 0.2485 data_time: 0.0007 memory: 1833 loss: 2.8356 loss_prob: 1.7740 loss_thr: 0.7557 loss_db: 0.3059 2022/12/19 20:14:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:14:34 - mmengine - INFO - Epoch(train) [13][5/79] lr: 6.9369e-03 eta: 6:13:24 time: 0.2972 data_time: 0.0316 memory: 1833 loss: 2.7537 loss_prob: 1.7271 loss_thr: 0.7285 loss_db: 0.2981 2022/12/19 20:14:35 - mmengine - INFO - Epoch(train) [13][10/79] lr: 6.9369e-03 eta: 6:12:52 time: 0.2832 data_time: 0.0316 memory: 1833 loss: 2.6792 loss_prob: 1.6692 loss_thr: 0.7240 loss_db: 0.2861 2022/12/19 20:14:36 - mmengine - INFO - Epoch(train) [13][15/79] lr: 6.9369e-03 eta: 6:13:15 time: 0.2325 data_time: 0.0006 memory: 1833 loss: 2.6447 loss_prob: 1.6478 loss_thr: 0.7127 loss_db: 0.2841 2022/12/19 20:14:37 - mmengine - INFO - Epoch(train) [13][20/79] lr: 6.9369e-03 eta: 6:12:57 time: 0.2467 data_time: 0.0006 memory: 1833 loss: 2.5380 loss_prob: 1.5614 loss_thr: 0.7098 loss_db: 0.2668 2022/12/19 20:14:38 - mmengine - INFO - Epoch(train) [13][25/79] lr: 6.9369e-03 eta: 6:12:47 time: 0.2121 data_time: 0.0006 memory: 1833 loss: 2.5210 loss_prob: 1.5423 loss_thr: 0.7178 loss_db: 0.2609 2022/12/19 20:14:39 - mmengine - INFO - Epoch(train) [13][30/79] lr: 6.9369e-03 eta: 6:12:41 time: 0.2238 data_time: 0.0006 memory: 1833 loss: 2.8888 loss_prob: 1.8394 loss_thr: 0.7484 loss_db: 0.3010 2022/12/19 20:14:41 - mmengine - INFO - Epoch(train) [13][35/79] lr: 6.9369e-03 eta: 6:12:48 time: 0.2411 data_time: 0.0008 memory: 1833 loss: 2.9779 loss_prob: 1.9063 loss_thr: 0.7580 loss_db: 0.3136 2022/12/19 20:14:42 - mmengine - INFO - Epoch(train) [13][40/79] lr: 6.9369e-03 eta: 6:12:33 time: 0.2329 data_time: 0.0009 memory: 1833 loss: 2.7280 loss_prob: 1.7068 loss_thr: 0.7309 loss_db: 0.2902 2022/12/19 20:14:43 - mmengine - INFO - Epoch(train) [13][45/79] lr: 6.9369e-03 eta: 6:12:28 time: 0.2205 data_time: 0.0008 memory: 1833 loss: 2.5921 loss_prob: 1.6071 loss_thr: 0.7100 loss_db: 0.2750 2022/12/19 20:14:44 - mmengine - INFO - Epoch(train) [13][50/79] lr: 6.9369e-03 eta: 6:12:15 time: 0.2215 data_time: 0.0007 memory: 1833 loss: 2.4632 loss_prob: 1.5257 loss_thr: 0.6761 loss_db: 0.2614 2022/12/19 20:14:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:14:45 - mmengine - INFO - Epoch(train) [13][55/79] lr: 6.9369e-03 eta: 6:12:05 time: 0.2161 data_time: 0.0007 memory: 1833 loss: 2.4809 loss_prob: 1.5392 loss_thr: 0.6805 loss_db: 0.2612 2022/12/19 20:14:46 - mmengine - INFO - Epoch(train) [13][60/79] lr: 6.9369e-03 eta: 6:11:49 time: 0.2121 data_time: 0.0006 memory: 1833 loss: 2.6139 loss_prob: 1.6343 loss_thr: 0.7011 loss_db: 0.2784 2022/12/19 20:14:47 - mmengine - INFO - Epoch(train) [13][65/79] lr: 6.9369e-03 eta: 6:11:25 time: 0.1974 data_time: 0.0006 memory: 1833 loss: 2.6040 loss_prob: 1.6355 loss_thr: 0.6917 loss_db: 0.2768 2022/12/19 20:14:48 - mmengine - INFO - Epoch(train) [13][70/79] lr: 6.9369e-03 eta: 6:11:07 time: 0.1957 data_time: 0.0006 memory: 1833 loss: 2.4831 loss_prob: 1.5330 loss_thr: 0.6908 loss_db: 0.2593 2022/12/19 20:14:49 - mmengine - INFO - Epoch(train) [13][75/79] lr: 6.9369e-03 eta: 6:11:04 time: 0.2166 data_time: 0.0006 memory: 1833 loss: 2.4754 loss_prob: 1.5076 loss_thr: 0.7127 loss_db: 0.2551 2022/12/19 20:14:50 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:14:53 - mmengine - INFO - Epoch(train) [14][5/79] lr: 6.9317e-03 eta: 6:13:19 time: 0.3822 data_time: 0.0344 memory: 1833 loss: 2.6331 loss_prob: 1.6317 loss_thr: 0.7268 loss_db: 0.2746 2022/12/19 20:14:54 - mmengine - INFO - Epoch(train) [14][10/79] lr: 6.9317e-03 eta: 6:13:08 time: 0.3956 data_time: 0.0344 memory: 1833 loss: 2.6199 loss_prob: 1.6426 loss_thr: 0.7016 loss_db: 0.2757 2022/12/19 20:14:55 - mmengine - INFO - Epoch(train) [14][15/79] lr: 6.9317e-03 eta: 6:13:07 time: 0.2282 data_time: 0.0006 memory: 1833 loss: 2.5944 loss_prob: 1.6168 loss_thr: 0.7012 loss_db: 0.2764 2022/12/19 20:14:56 - mmengine - INFO - Epoch(train) [14][20/79] lr: 6.9317e-03 eta: 6:13:07 time: 0.2406 data_time: 0.0006 memory: 1833 loss: 2.4750 loss_prob: 1.5230 loss_thr: 0.6935 loss_db: 0.2584 2022/12/19 20:14:58 - mmengine - INFO - Epoch(train) [14][25/79] lr: 6.9317e-03 eta: 6:13:11 time: 0.2459 data_time: 0.0009 memory: 1833 loss: 2.6538 loss_prob: 1.6588 loss_thr: 0.7125 loss_db: 0.2825 2022/12/19 20:14:59 - mmengine - INFO - Epoch(train) [14][30/79] lr: 6.9317e-03 eta: 6:13:05 time: 0.2397 data_time: 0.0009 memory: 1833 loss: 2.6014 loss_prob: 1.6236 loss_thr: 0.7068 loss_db: 0.2710 2022/12/19 20:15:00 - mmengine - INFO - Epoch(train) [14][35/79] lr: 6.9317e-03 eta: 6:12:39 time: 0.2055 data_time: 0.0007 memory: 1833 loss: 2.7247 loss_prob: 1.7119 loss_thr: 0.7185 loss_db: 0.2942 2022/12/19 20:15:01 - mmengine - INFO - Epoch(train) [14][40/79] lr: 6.9317e-03 eta: 6:12:21 time: 0.1915 data_time: 0.0007 memory: 1833 loss: 2.6929 loss_prob: 1.6789 loss_thr: 0.7203 loss_db: 0.2937 2022/12/19 20:15:02 - mmengine - INFO - Epoch(train) [14][45/79] lr: 6.9317e-03 eta: 6:12:10 time: 0.2081 data_time: 0.0008 memory: 1833 loss: 2.4524 loss_prob: 1.4802 loss_thr: 0.7222 loss_db: 0.2500 2022/12/19 20:15:03 - mmengine - INFO - Epoch(train) [14][50/79] lr: 6.9317e-03 eta: 6:11:59 time: 0.2156 data_time: 0.0007 memory: 1833 loss: 2.6102 loss_prob: 1.5946 loss_thr: 0.7451 loss_db: 0.2705 2022/12/19 20:15:04 - mmengine - INFO - Epoch(train) [14][55/79] lr: 6.9317e-03 eta: 6:11:44 time: 0.2106 data_time: 0.0006 memory: 1833 loss: 2.6484 loss_prob: 1.6409 loss_thr: 0.7274 loss_db: 0.2801 2022/12/19 20:15:05 - mmengine - INFO - Epoch(train) [14][60/79] lr: 6.9317e-03 eta: 6:11:39 time: 0.2176 data_time: 0.0006 memory: 1833 loss: 2.5499 loss_prob: 1.5766 loss_thr: 0.7009 loss_db: 0.2724 2022/12/19 20:15:06 - mmengine - INFO - Epoch(train) [14][65/79] lr: 6.9317e-03 eta: 6:11:30 time: 0.2247 data_time: 0.0006 memory: 1833 loss: 2.5357 loss_prob: 1.5745 loss_thr: 0.6835 loss_db: 0.2778 2022/12/19 20:15:07 - mmengine - INFO - Epoch(train) [14][70/79] lr: 6.9317e-03 eta: 6:11:13 time: 0.2102 data_time: 0.0007 memory: 1833 loss: 2.5223 loss_prob: 1.5815 loss_thr: 0.6700 loss_db: 0.2708 2022/12/19 20:15:08 - mmengine - INFO - Epoch(train) [14][75/79] lr: 6.9317e-03 eta: 6:11:03 time: 0.2089 data_time: 0.0007 memory: 1833 loss: 2.4820 loss_prob: 1.5541 loss_thr: 0.6663 loss_db: 0.2616 2022/12/19 20:15:09 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:15:11 - mmengine - INFO - Epoch(train) [15][5/79] lr: 6.9264e-03 eta: 6:12:10 time: 0.3124 data_time: 0.0592 memory: 1833 loss: 2.5709 loss_prob: 1.6059 loss_thr: 0.6955 loss_db: 0.2694 2022/12/19 20:15:12 - mmengine - INFO - Epoch(train) [15][10/79] lr: 6.9264e-03 eta: 6:12:05 time: 0.3304 data_time: 0.0593 memory: 1833 loss: 2.6048 loss_prob: 1.6345 loss_thr: 0.6932 loss_db: 0.2771 2022/12/19 20:15:14 - mmengine - INFO - Epoch(train) [15][15/79] lr: 6.9264e-03 eta: 6:12:17 time: 0.2497 data_time: 0.0009 memory: 1833 loss: 2.3148 loss_prob: 1.4106 loss_thr: 0.6696 loss_db: 0.2346 2022/12/19 20:15:15 - mmengine - INFO - Epoch(train) [15][20/79] lr: 6.9264e-03 eta: 6:12:05 time: 0.2411 data_time: 0.0008 memory: 1833 loss: 2.4026 loss_prob: 1.4709 loss_thr: 0.6869 loss_db: 0.2448 2022/12/19 20:15:16 - mmengine - INFO - Epoch(train) [15][25/79] lr: 6.9264e-03 eta: 6:12:00 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 2.7674 loss_prob: 1.7329 loss_thr: 0.7360 loss_db: 0.2985 2022/12/19 20:15:17 - mmengine - INFO - Epoch(train) [15][30/79] lr: 6.9264e-03 eta: 6:12:03 time: 0.2394 data_time: 0.0007 memory: 1833 loss: 2.8090 loss_prob: 1.7683 loss_thr: 0.7382 loss_db: 0.3025 2022/12/19 20:15:18 - mmengine - INFO - Epoch(train) [15][35/79] lr: 6.9264e-03 eta: 6:11:56 time: 0.2358 data_time: 0.0007 memory: 1833 loss: 2.3646 loss_prob: 1.4627 loss_thr: 0.6583 loss_db: 0.2436 2022/12/19 20:15:19 - mmengine - INFO - Epoch(train) [15][40/79] lr: 6.9264e-03 eta: 6:11:50 time: 0.2247 data_time: 0.0007 memory: 1833 loss: 2.2410 loss_prob: 1.3595 loss_thr: 0.6518 loss_db: 0.2297 2022/12/19 20:15:20 - mmengine - INFO - Epoch(train) [15][45/79] lr: 6.9264e-03 eta: 6:11:47 time: 0.2299 data_time: 0.0007 memory: 1833 loss: 2.3897 loss_prob: 1.4625 loss_thr: 0.6761 loss_db: 0.2512 2022/12/19 20:15:21 - mmengine - INFO - Epoch(train) [15][50/79] lr: 6.9264e-03 eta: 6:11:29 time: 0.2161 data_time: 0.0007 memory: 1833 loss: 2.5953 loss_prob: 1.6060 loss_thr: 0.7125 loss_db: 0.2767 2022/12/19 20:15:23 - mmengine - INFO - Epoch(train) [15][55/79] lr: 6.9264e-03 eta: 6:11:19 time: 0.2068 data_time: 0.0007 memory: 1833 loss: 2.6711 loss_prob: 1.6516 loss_thr: 0.7367 loss_db: 0.2828 2022/12/19 20:15:24 - mmengine - INFO - Epoch(train) [15][60/79] lr: 6.9264e-03 eta: 6:11:16 time: 0.2244 data_time: 0.0007 memory: 1833 loss: 2.5036 loss_prob: 1.5248 loss_thr: 0.7201 loss_db: 0.2587 2022/12/19 20:15:25 - mmengine - INFO - Epoch(train) [15][65/79] lr: 6.9264e-03 eta: 6:11:11 time: 0.2310 data_time: 0.0006 memory: 1833 loss: 2.3828 loss_prob: 1.4648 loss_thr: 0.6717 loss_db: 0.2464 2022/12/19 20:15:26 - mmengine - INFO - Epoch(train) [15][70/79] lr: 6.9264e-03 eta: 6:10:49 time: 0.2071 data_time: 0.0006 memory: 1833 loss: 2.4003 loss_prob: 1.4757 loss_thr: 0.6743 loss_db: 0.2502 2022/12/19 20:15:27 - mmengine - INFO - Epoch(train) [15][75/79] lr: 6.9264e-03 eta: 6:10:36 time: 0.1974 data_time: 0.0005 memory: 1833 loss: 2.6508 loss_prob: 1.6345 loss_thr: 0.7365 loss_db: 0.2798 2022/12/19 20:15:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:15:30 - mmengine - INFO - Epoch(train) [16][5/79] lr: 6.9211e-03 eta: 6:12:13 time: 0.3594 data_time: 0.1072 memory: 1833 loss: 2.4269 loss_prob: 1.4836 loss_thr: 0.6910 loss_db: 0.2523 2022/12/19 20:15:31 - mmengine - INFO - Epoch(train) [16][10/79] lr: 6.9211e-03 eta: 6:12:04 time: 0.3639 data_time: 0.1073 memory: 1833 loss: 2.3264 loss_prob: 1.4213 loss_thr: 0.6669 loss_db: 0.2382 2022/12/19 20:15:33 - mmengine - INFO - Epoch(train) [16][15/79] lr: 6.9211e-03 eta: 6:12:23 time: 0.2551 data_time: 0.0007 memory: 1833 loss: 2.4880 loss_prob: 1.5325 loss_thr: 0.6938 loss_db: 0.2617 2022/12/19 20:15:34 - mmengine - INFO - Epoch(train) [16][20/79] lr: 6.9211e-03 eta: 6:12:04 time: 0.2407 data_time: 0.0007 memory: 1833 loss: 2.3119 loss_prob: 1.4042 loss_thr: 0.6676 loss_db: 0.2401 2022/12/19 20:15:35 - mmengine - INFO - Epoch(train) [16][25/79] lr: 6.9211e-03 eta: 6:11:52 time: 0.2020 data_time: 0.0007 memory: 1833 loss: 2.1539 loss_prob: 1.2997 loss_thr: 0.6384 loss_db: 0.2158 2022/12/19 20:15:36 - mmengine - INFO - Epoch(train) [16][30/79] lr: 6.9211e-03 eta: 6:11:50 time: 0.2235 data_time: 0.0007 memory: 1833 loss: 2.3816 loss_prob: 1.4581 loss_thr: 0.6809 loss_db: 0.2426 2022/12/19 20:15:37 - mmengine - INFO - Epoch(train) [16][35/79] lr: 6.9211e-03 eta: 6:11:41 time: 0.2269 data_time: 0.0007 memory: 1833 loss: 2.6212 loss_prob: 1.6286 loss_thr: 0.7150 loss_db: 0.2776 2022/12/19 20:15:38 - mmengine - INFO - Epoch(train) [16][40/79] lr: 6.9211e-03 eta: 6:11:36 time: 0.2236 data_time: 0.0007 memory: 1833 loss: 2.6410 loss_prob: 1.6437 loss_thr: 0.7143 loss_db: 0.2831 2022/12/19 20:15:39 - mmengine - INFO - Epoch(train) [16][45/79] lr: 6.9211e-03 eta: 6:11:15 time: 0.2076 data_time: 0.0006 memory: 1833 loss: 2.6018 loss_prob: 1.6064 loss_thr: 0.7249 loss_db: 0.2705 2022/12/19 20:15:40 - mmengine - INFO - Epoch(train) [16][50/79] lr: 6.9211e-03 eta: 6:11:00 time: 0.1935 data_time: 0.0006 memory: 1833 loss: 2.6487 loss_prob: 1.6397 loss_thr: 0.7311 loss_db: 0.2778 2022/12/19 20:15:41 - mmengine - INFO - Epoch(train) [16][55/79] lr: 6.9211e-03 eta: 6:10:58 time: 0.2190 data_time: 0.0005 memory: 1833 loss: 2.6637 loss_prob: 1.6546 loss_thr: 0.7250 loss_db: 0.2840 2022/12/19 20:15:42 - mmengine - INFO - Epoch(train) [16][60/79] lr: 6.9211e-03 eta: 6:10:46 time: 0.2225 data_time: 0.0005 memory: 1833 loss: 2.5143 loss_prob: 1.5693 loss_thr: 0.6831 loss_db: 0.2620 2022/12/19 20:15:43 - mmengine - INFO - Epoch(train) [16][65/79] lr: 6.9211e-03 eta: 6:10:30 time: 0.2034 data_time: 0.0005 memory: 1833 loss: 2.5762 loss_prob: 1.6208 loss_thr: 0.6918 loss_db: 0.2636 2022/12/19 20:15:44 - mmengine - INFO - Epoch(train) [16][70/79] lr: 6.9211e-03 eta: 6:10:23 time: 0.2103 data_time: 0.0005 memory: 1833 loss: 2.5655 loss_prob: 1.5958 loss_thr: 0.7030 loss_db: 0.2667 2022/12/19 20:15:46 - mmengine - INFO - Epoch(train) [16][75/79] lr: 6.9211e-03 eta: 6:10:26 time: 0.2356 data_time: 0.0006 memory: 1833 loss: 2.6468 loss_prob: 1.6576 loss_thr: 0.7029 loss_db: 0.2863 2022/12/19 20:15:47 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:15:49 - mmengine - INFO - Epoch(train) [17][5/79] lr: 6.9159e-03 eta: 6:11:22 time: 0.3105 data_time: 0.0628 memory: 1833 loss: 2.4506 loss_prob: 1.5215 loss_thr: 0.6713 loss_db: 0.2578 2022/12/19 20:15:50 - mmengine - INFO - Epoch(train) [17][10/79] lr: 6.9159e-03 eta: 6:11:15 time: 0.3173 data_time: 0.0629 memory: 1833 loss: 2.5053 loss_prob: 1.5505 loss_thr: 0.6943 loss_db: 0.2606 2022/12/19 20:15:51 - mmengine - INFO - Epoch(train) [17][15/79] lr: 6.9159e-03 eta: 6:11:25 time: 0.2463 data_time: 0.0007 memory: 1833 loss: 2.7503 loss_prob: 1.7128 loss_thr: 0.7489 loss_db: 0.2886 2022/12/19 20:15:52 - mmengine - INFO - Epoch(train) [17][20/79] lr: 6.9159e-03 eta: 6:11:10 time: 0.2340 data_time: 0.0007 memory: 1833 loss: 2.5751 loss_prob: 1.6042 loss_thr: 0.7000 loss_db: 0.2709 2022/12/19 20:15:53 - mmengine - INFO - Epoch(train) [17][25/79] lr: 6.9159e-03 eta: 6:10:50 time: 0.1934 data_time: 0.0007 memory: 1833 loss: 2.4215 loss_prob: 1.4876 loss_thr: 0.6841 loss_db: 0.2498 2022/12/19 20:15:54 - mmengine - INFO - Epoch(train) [17][30/79] lr: 6.9159e-03 eta: 6:10:57 time: 0.2232 data_time: 0.0006 memory: 1833 loss: 2.3710 loss_prob: 1.4506 loss_thr: 0.6794 loss_db: 0.2410 2022/12/19 20:15:56 - mmengine - INFO - Epoch(train) [17][35/79] lr: 6.9159e-03 eta: 6:11:00 time: 0.2542 data_time: 0.0007 memory: 1833 loss: 2.2547 loss_prob: 1.3647 loss_thr: 0.6613 loss_db: 0.2287 2022/12/19 20:15:57 - mmengine - INFO - Epoch(train) [17][40/79] lr: 6.9159e-03 eta: 6:10:54 time: 0.2369 data_time: 0.0007 memory: 1833 loss: 2.3985 loss_prob: 1.4591 loss_thr: 0.6920 loss_db: 0.2475 2022/12/19 20:15:58 - mmengine - INFO - Epoch(train) [17][45/79] lr: 6.9159e-03 eta: 6:10:48 time: 0.2258 data_time: 0.0007 memory: 1833 loss: 2.4738 loss_prob: 1.5335 loss_thr: 0.6772 loss_db: 0.2631 2022/12/19 20:15:59 - mmengine - INFO - Epoch(train) [17][50/79] lr: 6.9159e-03 eta: 6:10:39 time: 0.2208 data_time: 0.0006 memory: 1833 loss: 2.5266 loss_prob: 1.5876 loss_thr: 0.6664 loss_db: 0.2726 2022/12/19 20:16:00 - mmengine - INFO - Epoch(train) [17][55/79] lr: 6.9159e-03 eta: 6:10:25 time: 0.2085 data_time: 0.0006 memory: 1833 loss: 2.7891 loss_prob: 1.7794 loss_thr: 0.7097 loss_db: 0.3000 2022/12/19 20:16:01 - mmengine - INFO - Epoch(train) [17][60/79] lr: 6.9159e-03 eta: 6:10:19 time: 0.2123 data_time: 0.0006 memory: 1833 loss: 2.5637 loss_prob: 1.6007 loss_thr: 0.6942 loss_db: 0.2688 2022/12/19 20:16:02 - mmengine - INFO - Epoch(train) [17][65/79] lr: 6.9159e-03 eta: 6:10:10 time: 0.2204 data_time: 0.0008 memory: 1833 loss: 2.5187 loss_prob: 1.5707 loss_thr: 0.6880 loss_db: 0.2600 2022/12/19 20:16:03 - mmengine - INFO - Epoch(train) [17][70/79] lr: 6.9159e-03 eta: 6:10:04 time: 0.2199 data_time: 0.0008 memory: 1833 loss: 2.8147 loss_prob: 1.7881 loss_thr: 0.7307 loss_db: 0.2958 2022/12/19 20:16:04 - mmengine - INFO - Epoch(train) [17][75/79] lr: 6.9159e-03 eta: 6:09:49 time: 0.2106 data_time: 0.0006 memory: 1833 loss: 2.6554 loss_prob: 1.6553 loss_thr: 0.7236 loss_db: 0.2764 2022/12/19 20:16:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:16:07 - mmengine - INFO - Epoch(train) [18][5/79] lr: 6.9106e-03 eta: 6:10:36 time: 0.3027 data_time: 0.1159 memory: 1833 loss: 2.2891 loss_prob: 1.4006 loss_thr: 0.6589 loss_db: 0.2297 2022/12/19 20:16:08 - mmengine - INFO - Epoch(train) [18][10/79] lr: 6.9106e-03 eta: 6:10:31 time: 0.3249 data_time: 0.1159 memory: 1833 loss: 2.4215 loss_prob: 1.4992 loss_thr: 0.6737 loss_db: 0.2486 2022/12/19 20:16:09 - mmengine - INFO - Epoch(train) [18][15/79] lr: 6.9106e-03 eta: 6:10:30 time: 0.2333 data_time: 0.0006 memory: 1833 loss: 2.4997 loss_prob: 1.5558 loss_thr: 0.6870 loss_db: 0.2569 2022/12/19 20:16:10 - mmengine - INFO - Epoch(train) [18][20/79] lr: 6.9106e-03 eta: 6:10:21 time: 0.2275 data_time: 0.0007 memory: 1833 loss: 2.4963 loss_prob: 1.5338 loss_thr: 0.7033 loss_db: 0.2592 2022/12/19 20:16:11 - mmengine - INFO - Epoch(train) [18][25/79] lr: 6.9106e-03 eta: 6:10:01 time: 0.1978 data_time: 0.0006 memory: 1833 loss: 2.4852 loss_prob: 1.5319 loss_thr: 0.6935 loss_db: 0.2598 2022/12/19 20:16:12 - mmengine - INFO - Epoch(train) [18][30/79] lr: 6.9106e-03 eta: 6:09:43 time: 0.1847 data_time: 0.0006 memory: 1833 loss: 2.4231 loss_prob: 1.4949 loss_thr: 0.6781 loss_db: 0.2501 2022/12/19 20:16:13 - mmengine - INFO - Epoch(train) [18][35/79] lr: 6.9106e-03 eta: 6:09:35 time: 0.2029 data_time: 0.0006 memory: 1833 loss: 2.2953 loss_prob: 1.4043 loss_thr: 0.6560 loss_db: 0.2349 2022/12/19 20:16:14 - mmengine - INFO - Epoch(train) [18][40/79] lr: 6.9106e-03 eta: 6:09:25 time: 0.2143 data_time: 0.0006 memory: 1833 loss: 2.3812 loss_prob: 1.4611 loss_thr: 0.6716 loss_db: 0.2485 2022/12/19 20:16:16 - mmengine - INFO - Epoch(train) [18][45/79] lr: 6.9106e-03 eta: 6:09:15 time: 0.2111 data_time: 0.0006 memory: 1833 loss: 2.5309 loss_prob: 1.5492 loss_thr: 0.7180 loss_db: 0.2637 2022/12/19 20:16:17 - mmengine - INFO - Epoch(train) [18][50/79] lr: 6.9106e-03 eta: 6:09:25 time: 0.2414 data_time: 0.0007 memory: 1833 loss: 2.4849 loss_prob: 1.5161 loss_thr: 0.7111 loss_db: 0.2576 2022/12/19 20:16:18 - mmengine - INFO - Epoch(train) [18][55/79] lr: 6.9106e-03 eta: 6:09:20 time: 0.2483 data_time: 0.0008 memory: 1833 loss: 2.4264 loss_prob: 1.4973 loss_thr: 0.6802 loss_db: 0.2490 2022/12/19 20:16:19 - mmengine - INFO - Epoch(train) [18][60/79] lr: 6.9106e-03 eta: 6:09:11 time: 0.2193 data_time: 0.0007 memory: 1833 loss: 2.2568 loss_prob: 1.3759 loss_thr: 0.6553 loss_db: 0.2256 2022/12/19 20:16:20 - mmengine - INFO - Epoch(train) [18][65/79] lr: 6.9106e-03 eta: 6:09:13 time: 0.2306 data_time: 0.0006 memory: 1833 loss: 2.2824 loss_prob: 1.3800 loss_thr: 0.6659 loss_db: 0.2365 2022/12/19 20:16:21 - mmengine - INFO - Epoch(train) [18][70/79] lr: 6.9106e-03 eta: 6:09:06 time: 0.2342 data_time: 0.0006 memory: 1833 loss: 2.4365 loss_prob: 1.4863 loss_thr: 0.6925 loss_db: 0.2578 2022/12/19 20:16:22 - mmengine - INFO - Epoch(train) [18][75/79] lr: 6.9106e-03 eta: 6:08:48 time: 0.2033 data_time: 0.0006 memory: 1833 loss: 2.5145 loss_prob: 1.5376 loss_thr: 0.7083 loss_db: 0.2686 2022/12/19 20:16:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:16:25 - mmengine - INFO - Epoch(train) [19][5/79] lr: 6.9054e-03 eta: 6:09:34 time: 0.3031 data_time: 0.0234 memory: 1833 loss: 2.4667 loss_prob: 1.5297 loss_thr: 0.6831 loss_db: 0.2539 2022/12/19 20:16:26 - mmengine - INFO - Epoch(train) [19][10/79] lr: 6.9054e-03 eta: 6:09:21 time: 0.3142 data_time: 0.0234 memory: 1833 loss: 2.3398 loss_prob: 1.4250 loss_thr: 0.6763 loss_db: 0.2385 2022/12/19 20:16:27 - mmengine - INFO - Epoch(train) [19][15/79] lr: 6.9054e-03 eta: 6:09:18 time: 0.2162 data_time: 0.0006 memory: 1833 loss: 2.2580 loss_prob: 1.3674 loss_thr: 0.6628 loss_db: 0.2278 2022/12/19 20:16:28 - mmengine - INFO - Epoch(train) [19][20/79] lr: 6.9054e-03 eta: 6:09:01 time: 0.2104 data_time: 0.0006 memory: 1833 loss: 2.3540 loss_prob: 1.4148 loss_thr: 0.7008 loss_db: 0.2384 2022/12/19 20:16:29 - mmengine - INFO - Epoch(train) [19][25/79] lr: 6.9054e-03 eta: 6:08:50 time: 0.1977 data_time: 0.0006 memory: 1833 loss: 2.6733 loss_prob: 1.6373 loss_thr: 0.7619 loss_db: 0.2741 2022/12/19 20:16:30 - mmengine - INFO - Epoch(train) [19][30/79] lr: 6.9054e-03 eta: 6:08:41 time: 0.2098 data_time: 0.0006 memory: 1833 loss: 2.6436 loss_prob: 1.6457 loss_thr: 0.7266 loss_db: 0.2712 2022/12/19 20:16:31 - mmengine - INFO - Epoch(train) [19][35/79] lr: 6.9054e-03 eta: 6:08:25 time: 0.2013 data_time: 0.0007 memory: 1833 loss: 2.4662 loss_prob: 1.5192 loss_thr: 0.6889 loss_db: 0.2582 2022/12/19 20:16:33 - mmengine - INFO - Epoch(train) [19][40/79] lr: 6.9054e-03 eta: 6:08:27 time: 0.2182 data_time: 0.0008 memory: 1833 loss: 2.3798 loss_prob: 1.4537 loss_thr: 0.6758 loss_db: 0.2503 2022/12/19 20:16:34 - mmengine - INFO - Epoch(train) [19][45/79] lr: 6.9054e-03 eta: 6:08:15 time: 0.2258 data_time: 0.0009 memory: 1833 loss: 2.2197 loss_prob: 1.3377 loss_thr: 0.6545 loss_db: 0.2276 2022/12/19 20:16:35 - mmengine - INFO - Epoch(train) [19][50/79] lr: 6.9054e-03 eta: 6:08:04 time: 0.2050 data_time: 0.0009 memory: 1833 loss: 2.3163 loss_prob: 1.4111 loss_thr: 0.6679 loss_db: 0.2374 2022/12/19 20:16:36 - mmengine - INFO - Epoch(train) [19][55/79] lr: 6.9054e-03 eta: 6:08:02 time: 0.2190 data_time: 0.0007 memory: 1833 loss: 2.5772 loss_prob: 1.6106 loss_thr: 0.6936 loss_db: 0.2730 2022/12/19 20:16:37 - mmengine - INFO - Epoch(train) [19][60/79] lr: 6.9054e-03 eta: 6:07:44 time: 0.2086 data_time: 0.0006 memory: 1833 loss: 2.4287 loss_prob: 1.4912 loss_thr: 0.6840 loss_db: 0.2536 2022/12/19 20:16:38 - mmengine - INFO - Epoch(train) [19][65/79] lr: 6.9054e-03 eta: 6:07:35 time: 0.1983 data_time: 0.0006 memory: 1833 loss: 2.2052 loss_prob: 1.3179 loss_thr: 0.6642 loss_db: 0.2231 2022/12/19 20:16:39 - mmengine - INFO - Epoch(train) [19][70/79] lr: 6.9054e-03 eta: 6:07:31 time: 0.2198 data_time: 0.0006 memory: 1833 loss: 2.5088 loss_prob: 1.5479 loss_thr: 0.7023 loss_db: 0.2586 2022/12/19 20:16:40 - mmengine - INFO - Epoch(train) [19][75/79] lr: 6.9054e-03 eta: 6:07:29 time: 0.2310 data_time: 0.0006 memory: 1833 loss: 2.6606 loss_prob: 1.6464 loss_thr: 0.7392 loss_db: 0.2750 2022/12/19 20:16:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:16:43 - mmengine - INFO - Epoch(train) [20][5/79] lr: 6.9001e-03 eta: 6:08:20 time: 0.3194 data_time: 0.0274 memory: 1833 loss: 2.3891 loss_prob: 1.4621 loss_thr: 0.6771 loss_db: 0.2500 2022/12/19 20:16:44 - mmengine - INFO - Epoch(train) [20][10/79] lr: 6.9001e-03 eta: 6:08:13 time: 0.3348 data_time: 0.0275 memory: 1833 loss: 2.2592 loss_prob: 1.3702 loss_thr: 0.6564 loss_db: 0.2326 2022/12/19 20:16:45 - mmengine - INFO - Epoch(train) [20][15/79] lr: 6.9001e-03 eta: 6:08:05 time: 0.2171 data_time: 0.0007 memory: 1833 loss: 2.3015 loss_prob: 1.3928 loss_thr: 0.6736 loss_db: 0.2351 2022/12/19 20:16:47 - mmengine - INFO - Epoch(train) [20][20/79] lr: 6.9001e-03 eta: 6:08:11 time: 0.2364 data_time: 0.0007 memory: 1833 loss: 2.3368 loss_prob: 1.4216 loss_thr: 0.6764 loss_db: 0.2388 2022/12/19 20:16:48 - mmengine - INFO - Epoch(train) [20][25/79] lr: 6.9001e-03 eta: 6:08:07 time: 0.2439 data_time: 0.0006 memory: 1833 loss: 2.4978 loss_prob: 1.5369 loss_thr: 0.6998 loss_db: 0.2611 2022/12/19 20:16:49 - mmengine - INFO - Epoch(train) [20][30/79] lr: 6.9001e-03 eta: 6:08:01 time: 0.2247 data_time: 0.0008 memory: 1833 loss: 2.6030 loss_prob: 1.6036 loss_thr: 0.7258 loss_db: 0.2735 2022/12/19 20:16:50 - mmengine - INFO - Epoch(train) [20][35/79] lr: 6.9001e-03 eta: 6:08:05 time: 0.2366 data_time: 0.0011 memory: 1833 loss: 2.5389 loss_prob: 1.5518 loss_thr: 0.7274 loss_db: 0.2598 2022/12/19 20:16:51 - mmengine - INFO - Epoch(train) [20][40/79] lr: 6.9001e-03 eta: 6:08:05 time: 0.2476 data_time: 0.0010 memory: 1833 loss: 2.4425 loss_prob: 1.4820 loss_thr: 0.7147 loss_db: 0.2458 2022/12/19 20:16:52 - mmengine - INFO - Epoch(train) [20][45/79] lr: 6.9001e-03 eta: 6:08:00 time: 0.2329 data_time: 0.0007 memory: 1833 loss: 2.2961 loss_prob: 1.3763 loss_thr: 0.6832 loss_db: 0.2365 2022/12/19 20:16:53 - mmengine - INFO - Epoch(train) [20][50/79] lr: 6.9001e-03 eta: 6:07:50 time: 0.2157 data_time: 0.0007 memory: 1833 loss: 2.3140 loss_prob: 1.4143 loss_thr: 0.6557 loss_db: 0.2440 2022/12/19 20:16:54 - mmengine - INFO - Epoch(train) [20][55/79] lr: 6.9001e-03 eta: 6:07:39 time: 0.2051 data_time: 0.0008 memory: 1833 loss: 2.4908 loss_prob: 1.5506 loss_thr: 0.6848 loss_db: 0.2554 2022/12/19 20:16:55 - mmengine - INFO - Epoch(train) [20][60/79] lr: 6.9001e-03 eta: 6:07:28 time: 0.2037 data_time: 0.0007 memory: 1833 loss: 2.4897 loss_prob: 1.5426 loss_thr: 0.6956 loss_db: 0.2514 2022/12/19 20:16:56 - mmengine - INFO - Epoch(train) [20][65/79] lr: 6.9001e-03 eta: 6:07:18 time: 0.2050 data_time: 0.0006 memory: 1833 loss: 2.3763 loss_prob: 1.4613 loss_thr: 0.6723 loss_db: 0.2427 2022/12/19 20:16:58 - mmengine - INFO - Epoch(train) [20][70/79] lr: 6.9001e-03 eta: 6:07:12 time: 0.2133 data_time: 0.0007 memory: 1833 loss: 2.2944 loss_prob: 1.4012 loss_thr: 0.6539 loss_db: 0.2393 2022/12/19 20:16:59 - mmengine - INFO - Epoch(train) [20][75/79] lr: 6.9001e-03 eta: 6:07:08 time: 0.2235 data_time: 0.0007 memory: 1833 loss: 2.3019 loss_prob: 1.4083 loss_thr: 0.6533 loss_db: 0.2403 2022/12/19 20:16:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:17:08 - mmengine - INFO - Epoch(val) [20][5/75] eta: 0:01:58 time: 1.6889 data_time: 0.0909 memory: 16879 2022/12/19 20:17:25 - mmengine - INFO - Epoch(val) [20][10/75] eta: 0:02:43 time: 2.5209 data_time: 0.0457 memory: 16870 2022/12/19 20:17:30 - mmengine - INFO - Epoch(val) [20][15/75] eta: 0:02:01 time: 2.1858 data_time: 0.0082 memory: 8695 2022/12/19 20:17:36 - mmengine - INFO - Epoch(val) [20][20/75] eta: 0:01:41 time: 1.1687 data_time: 0.0082 memory: 16873 2022/12/19 20:17:41 - mmengine - INFO - Epoch(val) [20][25/75] eta: 0:01:23 time: 1.1594 data_time: 0.0045 memory: 8665 2022/12/19 20:17:50 - mmengine - INFO - Epoch(val) [20][30/75] eta: 0:01:15 time: 1.3320 data_time: 0.0103 memory: 8669 2022/12/19 20:17:50 - mmengine - INFO - Epoch(val) [20][35/75] eta: 0:00:57 time: 0.8511 data_time: 0.0179 memory: 368 2022/12/19 20:17:51 - mmengine - INFO - Epoch(val) [20][40/75] eta: 0:00:44 time: 0.1011 data_time: 0.0241 memory: 390 2022/12/19 20:17:51 - mmengine - INFO - Epoch(val) [20][45/75] eta: 0:00:34 time: 0.0901 data_time: 0.0124 memory: 425 2022/12/19 20:18:03 - mmengine - INFO - Epoch(val) [20][50/75] eta: 0:00:31 time: 1.2741 data_time: 0.0003 memory: 16881 2022/12/19 20:18:08 - mmengine - INFO - Epoch(val) [20][55/75] eta: 0:00:24 time: 1.6903 data_time: 0.0003 memory: 8662 2022/12/19 20:18:08 - mmengine - INFO - Epoch(val) [20][60/75] eta: 0:00:17 time: 0.4398 data_time: 0.0003 memory: 390 2022/12/19 20:18:08 - mmengine - INFO - Epoch(val) [20][65/75] eta: 0:00:10 time: 0.0257 data_time: 0.0002 memory: 390 2022/12/19 20:18:08 - mmengine - INFO - Epoch(val) [20][70/75] eta: 0:00:04 time: 0.0308 data_time: 0.0002 memory: 425 2022/12/19 20:18:08 - mmengine - INFO - Epoch(val) [20][75/75] eta: 0:00:00 time: 0.0371 data_time: 0.0101 memory: 368 2022/12/19 20:19:45 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 20:19:46 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.6835, precision: 0.6088, hmean: 0.6440 2022/12/19 20:19:46 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.6831, precision: 0.7363, hmean: 0.7087 2022/12/19 20:19:46 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.6655, precision: 0.8050, hmean: 0.7286 2022/12/19 20:19:46 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.5941, precision: 0.8738, hmean: 0.7073 2022/12/19 20:19:46 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.2790, precision: 0.9464, hmean: 0.4310 2022/12/19 20:19:46 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0077, precision: 1.0000, hmean: 0.0152 2022/12/19 20:19:46 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/12/19 20:19:46 - mmengine - INFO - Epoch(val) [20][75/75] icdar/precision: 0.8050 icdar/recall: 0.6655 icdar/hmean: 0.7286 2022/12/19 20:19:46 - mmengine - INFO - The best checkpoint with 0.7286 icdar/hmean at 20 epoch is saved to best_icdar/hmean_epoch_20.pth. 2022/12/19 20:19:49 - mmengine - INFO - Epoch(train) [21][5/79] lr: 6.8948e-03 eta: 6:08:31 time: 0.3803 data_time: 0.0337 memory: 1833 loss: 2.7459 loss_prob: 1.7102 loss_thr: 0.7511 loss_db: 0.2846 2022/12/19 20:19:51 - mmengine - INFO - Epoch(train) [21][10/79] lr: 6.8948e-03 eta: 6:09:21 time: 0.4973 data_time: 0.0338 memory: 1833 loss: 2.5905 loss_prob: 1.6064 loss_thr: 0.7169 loss_db: 0.2671 2022/12/19 20:19:52 - mmengine - INFO - Epoch(train) [21][15/79] lr: 6.8948e-03 eta: 6:09:08 time: 0.3036 data_time: 0.0007 memory: 1833 loss: 2.5892 loss_prob: 1.6061 loss_thr: 0.7075 loss_db: 0.2756 2022/12/19 20:19:53 - mmengine - INFO - Epoch(train) [21][20/79] lr: 6.8948e-03 eta: 6:08:55 time: 0.1971 data_time: 0.0007 memory: 1833 loss: 2.5993 loss_prob: 1.6214 loss_thr: 0.7045 loss_db: 0.2733 2022/12/19 20:19:54 - mmengine - INFO - Epoch(train) [21][25/79] lr: 6.8948e-03 eta: 6:08:38 time: 0.1900 data_time: 0.0007 memory: 1833 loss: 2.3389 loss_prob: 1.4489 loss_thr: 0.6474 loss_db: 0.2426 2022/12/19 20:19:55 - mmengine - INFO - Epoch(train) [21][30/79] lr: 6.8948e-03 eta: 6:08:34 time: 0.2046 data_time: 0.0006 memory: 1833 loss: 2.2700 loss_prob: 1.4039 loss_thr: 0.6268 loss_db: 0.2393 2022/12/19 20:19:56 - mmengine - INFO - Epoch(train) [21][35/79] lr: 6.8948e-03 eta: 6:08:28 time: 0.2254 data_time: 0.0006 memory: 1833 loss: 2.4234 loss_prob: 1.5120 loss_thr: 0.6497 loss_db: 0.2617 2022/12/19 20:19:58 - mmengine - INFO - Epoch(train) [21][40/79] lr: 6.8948e-03 eta: 6:08:21 time: 0.2203 data_time: 0.0007 memory: 1833 loss: 2.3008 loss_prob: 1.4030 loss_thr: 0.6566 loss_db: 0.2412 2022/12/19 20:19:59 - mmengine - INFO - Epoch(train) [21][45/79] lr: 6.8948e-03 eta: 6:08:17 time: 0.2223 data_time: 0.0007 memory: 1833 loss: 2.4550 loss_prob: 1.5027 loss_thr: 0.7020 loss_db: 0.2503 2022/12/19 20:20:00 - mmengine - INFO - Epoch(train) [21][50/79] lr: 6.8948e-03 eta: 6:08:03 time: 0.2087 data_time: 0.0007 memory: 1833 loss: 2.5969 loss_prob: 1.6063 loss_thr: 0.7219 loss_db: 0.2687 2022/12/19 20:20:01 - mmengine - INFO - Epoch(train) [21][55/79] lr: 6.8948e-03 eta: 6:08:01 time: 0.2118 data_time: 0.0007 memory: 1833 loss: 2.5511 loss_prob: 1.5723 loss_thr: 0.7172 loss_db: 0.2616 2022/12/19 20:20:02 - mmengine - INFO - Epoch(train) [21][60/79] lr: 6.8948e-03 eta: 6:07:58 time: 0.2321 data_time: 0.0006 memory: 1833 loss: 2.4690 loss_prob: 1.5104 loss_thr: 0.7060 loss_db: 0.2525 2022/12/19 20:20:03 - mmengine - INFO - Epoch(train) [21][65/79] lr: 6.8948e-03 eta: 6:07:38 time: 0.2014 data_time: 0.0006 memory: 1833 loss: 2.2755 loss_prob: 1.3737 loss_thr: 0.6684 loss_db: 0.2334 2022/12/19 20:20:04 - mmengine - INFO - Epoch(train) [21][70/79] lr: 6.8948e-03 eta: 6:07:22 time: 0.1785 data_time: 0.0006 memory: 1833 loss: 2.4233 loss_prob: 1.4982 loss_thr: 0.6731 loss_db: 0.2520 2022/12/19 20:20:05 - mmengine - INFO - Epoch(train) [21][75/79] lr: 6.8948e-03 eta: 6:07:08 time: 0.1878 data_time: 0.0006 memory: 1833 loss: 2.5057 loss_prob: 1.5655 loss_thr: 0.6812 loss_db: 0.2589 2022/12/19 20:20:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:20:08 - mmengine - INFO - Epoch(train) [22][5/79] lr: 6.8896e-03 eta: 6:07:43 time: 0.2997 data_time: 0.0880 memory: 1833 loss: 2.5391 loss_prob: 1.5622 loss_thr: 0.7067 loss_db: 0.2703 2022/12/19 20:20:08 - mmengine - INFO - Epoch(train) [22][10/79] lr: 6.8896e-03 eta: 6:07:30 time: 0.3146 data_time: 0.0881 memory: 1833 loss: 2.3957 loss_prob: 1.4643 loss_thr: 0.6828 loss_db: 0.2487 2022/12/19 20:20:10 - mmengine - INFO - Epoch(train) [22][15/79] lr: 6.8896e-03 eta: 6:07:27 time: 0.2115 data_time: 0.0007 memory: 1833 loss: 2.3847 loss_prob: 1.4715 loss_thr: 0.6627 loss_db: 0.2505 2022/12/19 20:20:11 - mmengine - INFO - Epoch(train) [22][20/79] lr: 6.8896e-03 eta: 6:07:24 time: 0.2316 data_time: 0.0007 memory: 1833 loss: 2.1918 loss_prob: 1.3408 loss_thr: 0.6231 loss_db: 0.2279 2022/12/19 20:20:12 - mmengine - INFO - Epoch(train) [22][25/79] lr: 6.8896e-03 eta: 6:07:22 time: 0.2312 data_time: 0.0007 memory: 1833 loss: 2.1025 loss_prob: 1.2785 loss_thr: 0.6068 loss_db: 0.2172 2022/12/19 20:20:13 - mmengine - INFO - Epoch(train) [22][30/79] lr: 6.8896e-03 eta: 6:07:23 time: 0.2379 data_time: 0.0007 memory: 1833 loss: 2.1804 loss_prob: 1.3201 loss_thr: 0.6359 loss_db: 0.2245 2022/12/19 20:20:14 - mmengine - INFO - Epoch(train) [22][35/79] lr: 6.8896e-03 eta: 6:07:15 time: 0.2300 data_time: 0.0007 memory: 1833 loss: 2.3030 loss_prob: 1.3757 loss_thr: 0.6989 loss_db: 0.2285 2022/12/19 20:20:15 - mmengine - INFO - Epoch(train) [22][40/79] lr: 6.8896e-03 eta: 6:07:13 time: 0.2244 data_time: 0.0007 memory: 1833 loss: 2.3333 loss_prob: 1.4004 loss_thr: 0.6996 loss_db: 0.2334 2022/12/19 20:20:16 - mmengine - INFO - Epoch(train) [22][45/79] lr: 6.8896e-03 eta: 6:07:05 time: 0.2226 data_time: 0.0007 memory: 1833 loss: 2.3886 loss_prob: 1.4653 loss_thr: 0.6760 loss_db: 0.2474 2022/12/19 20:20:18 - mmengine - INFO - Epoch(train) [22][50/79] lr: 6.8896e-03 eta: 6:06:57 time: 0.2104 data_time: 0.0007 memory: 1833 loss: 2.3326 loss_prob: 1.4236 loss_thr: 0.6665 loss_db: 0.2425 2022/12/19 20:20:18 - mmengine - INFO - Epoch(train) [22][55/79] lr: 6.8896e-03 eta: 6:06:43 time: 0.2002 data_time: 0.0006 memory: 1833 loss: 2.5099 loss_prob: 1.5604 loss_thr: 0.6840 loss_db: 0.2654 2022/12/19 20:20:20 - mmengine - INFO - Epoch(train) [22][60/79] lr: 6.8896e-03 eta: 6:06:35 time: 0.1998 data_time: 0.0006 memory: 1833 loss: 2.4373 loss_prob: 1.5266 loss_thr: 0.6571 loss_db: 0.2536 2022/12/19 20:20:21 - mmengine - INFO - Epoch(train) [22][65/79] lr: 6.8896e-03 eta: 6:06:32 time: 0.2203 data_time: 0.0006 memory: 1833 loss: 2.2004 loss_prob: 1.3518 loss_thr: 0.6256 loss_db: 0.2230 2022/12/19 20:20:22 - mmengine - INFO - Epoch(train) [22][70/79] lr: 6.8896e-03 eta: 6:06:19 time: 0.2119 data_time: 0.0006 memory: 1833 loss: 2.4208 loss_prob: 1.5024 loss_thr: 0.6688 loss_db: 0.2495 2022/12/19 20:20:23 - mmengine - INFO - Epoch(train) [22][75/79] lr: 6.8896e-03 eta: 6:06:08 time: 0.1953 data_time: 0.0006 memory: 1833 loss: 2.4207 loss_prob: 1.4814 loss_thr: 0.6885 loss_db: 0.2508 2022/12/19 20:20:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:20:25 - mmengine - INFO - Epoch(train) [23][5/79] lr: 6.8843e-03 eta: 6:06:43 time: 0.2993 data_time: 0.1030 memory: 1833 loss: 2.1173 loss_prob: 1.2702 loss_thr: 0.6320 loss_db: 0.2152 2022/12/19 20:20:26 - mmengine - INFO - Epoch(train) [23][10/79] lr: 6.8843e-03 eta: 6:06:32 time: 0.3001 data_time: 0.1031 memory: 1833 loss: 2.2577 loss_prob: 1.3787 loss_thr: 0.6512 loss_db: 0.2279 2022/12/19 20:20:28 - mmengine - INFO - Epoch(train) [23][15/79] lr: 6.8843e-03 eta: 6:06:25 time: 0.2078 data_time: 0.0007 memory: 1833 loss: 2.3988 loss_prob: 1.4639 loss_thr: 0.6928 loss_db: 0.2421 2022/12/19 20:20:29 - mmengine - INFO - Epoch(train) [23][20/79] lr: 6.8843e-03 eta: 6:06:21 time: 0.2206 data_time: 0.0007 memory: 1833 loss: 2.4182 loss_prob: 1.4625 loss_thr: 0.7077 loss_db: 0.2481 2022/12/19 20:20:30 - mmengine - INFO - Epoch(train) [23][25/79] lr: 6.8843e-03 eta: 6:06:17 time: 0.2258 data_time: 0.0006 memory: 1833 loss: 2.3884 loss_prob: 1.4500 loss_thr: 0.6934 loss_db: 0.2450 2022/12/19 20:20:31 - mmengine - INFO - Epoch(train) [23][30/79] lr: 6.8843e-03 eta: 6:06:14 time: 0.2268 data_time: 0.0006 memory: 1833 loss: 2.3019 loss_prob: 1.4086 loss_thr: 0.6548 loss_db: 0.2385 2022/12/19 20:20:32 - mmengine - INFO - Epoch(train) [23][35/79] lr: 6.8843e-03 eta: 6:05:58 time: 0.2048 data_time: 0.0007 memory: 1833 loss: 2.3370 loss_prob: 1.4488 loss_thr: 0.6453 loss_db: 0.2429 2022/12/19 20:20:33 - mmengine - INFO - Epoch(train) [23][40/79] lr: 6.8843e-03 eta: 6:05:54 time: 0.2026 data_time: 0.0007 memory: 1833 loss: 2.4573 loss_prob: 1.5316 loss_thr: 0.6709 loss_db: 0.2548 2022/12/19 20:20:34 - mmengine - INFO - Epoch(train) [23][45/79] lr: 6.8843e-03 eta: 6:05:41 time: 0.2083 data_time: 0.0007 memory: 1833 loss: 2.3725 loss_prob: 1.4570 loss_thr: 0.6677 loss_db: 0.2479 2022/12/19 20:20:35 - mmengine - INFO - Epoch(train) [23][50/79] lr: 6.8843e-03 eta: 6:05:28 time: 0.1906 data_time: 0.0006 memory: 1833 loss: 2.2836 loss_prob: 1.3954 loss_thr: 0.6510 loss_db: 0.2372 2022/12/19 20:20:36 - mmengine - INFO - Epoch(train) [23][55/79] lr: 6.8843e-03 eta: 6:05:22 time: 0.2020 data_time: 0.0006 memory: 1833 loss: 2.2768 loss_prob: 1.3802 loss_thr: 0.6655 loss_db: 0.2310 2022/12/19 20:20:37 - mmengine - INFO - Epoch(train) [23][60/79] lr: 6.8843e-03 eta: 6:05:10 time: 0.2060 data_time: 0.0006 memory: 1833 loss: 2.3829 loss_prob: 1.4463 loss_thr: 0.6892 loss_db: 0.2475 2022/12/19 20:20:38 - mmengine - INFO - Epoch(train) [23][65/79] lr: 6.8843e-03 eta: 6:05:02 time: 0.2022 data_time: 0.0006 memory: 1833 loss: 2.4685 loss_prob: 1.5163 loss_thr: 0.6902 loss_db: 0.2620 2022/12/19 20:20:39 - mmengine - INFO - Epoch(train) [23][70/79] lr: 6.8843e-03 eta: 6:04:53 time: 0.2064 data_time: 0.0005 memory: 1833 loss: 2.4514 loss_prob: 1.4950 loss_thr: 0.6984 loss_db: 0.2580 2022/12/19 20:20:40 - mmengine - INFO - Epoch(train) [23][75/79] lr: 6.8843e-03 eta: 6:04:43 time: 0.2028 data_time: 0.0005 memory: 1833 loss: 2.4753 loss_prob: 1.5038 loss_thr: 0.7095 loss_db: 0.2620 2022/12/19 20:20:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:20:42 - mmengine - INFO - Epoch(train) [24][5/79] lr: 6.8790e-03 eta: 6:04:55 time: 0.2602 data_time: 0.0228 memory: 1833 loss: 2.4846 loss_prob: 1.5363 loss_thr: 0.6923 loss_db: 0.2560 2022/12/19 20:20:43 - mmengine - INFO - Epoch(train) [24][10/79] lr: 6.8790e-03 eta: 6:04:45 time: 0.2694 data_time: 0.0229 memory: 1833 loss: 2.3735 loss_prob: 1.4626 loss_thr: 0.6629 loss_db: 0.2480 2022/12/19 20:20:44 - mmengine - INFO - Epoch(train) [24][15/79] lr: 6.8790e-03 eta: 6:04:40 time: 0.2089 data_time: 0.0008 memory: 1833 loss: 2.3262 loss_prob: 1.4239 loss_thr: 0.6634 loss_db: 0.2389 2022/12/19 20:20:46 - mmengine - INFO - Epoch(train) [24][20/79] lr: 6.8790e-03 eta: 6:04:42 time: 0.2343 data_time: 0.0008 memory: 1833 loss: 2.3061 loss_prob: 1.4026 loss_thr: 0.6703 loss_db: 0.2332 2022/12/19 20:20:47 - mmengine - INFO - Epoch(train) [24][25/79] lr: 6.8790e-03 eta: 6:04:39 time: 0.2391 data_time: 0.0007 memory: 1833 loss: 2.1356 loss_prob: 1.2771 loss_thr: 0.6439 loss_db: 0.2146 2022/12/19 20:20:48 - mmengine - INFO - Epoch(train) [24][30/79] lr: 6.8790e-03 eta: 6:04:34 time: 0.2249 data_time: 0.0006 memory: 1833 loss: 2.2627 loss_prob: 1.3862 loss_thr: 0.6459 loss_db: 0.2306 2022/12/19 20:20:49 - mmengine - INFO - Epoch(train) [24][35/79] lr: 6.8790e-03 eta: 6:04:28 time: 0.2180 data_time: 0.0006 memory: 1833 loss: 2.2708 loss_prob: 1.3973 loss_thr: 0.6401 loss_db: 0.2334 2022/12/19 20:20:50 - mmengine - INFO - Epoch(train) [24][40/79] lr: 6.8790e-03 eta: 6:04:26 time: 0.2234 data_time: 0.0006 memory: 1833 loss: 2.1701 loss_prob: 1.3230 loss_thr: 0.6284 loss_db: 0.2187 2022/12/19 20:20:51 - mmengine - INFO - Epoch(train) [24][45/79] lr: 6.8790e-03 eta: 6:04:13 time: 0.2104 data_time: 0.0007 memory: 1833 loss: 2.1522 loss_prob: 1.3032 loss_thr: 0.6344 loss_db: 0.2146 2022/12/19 20:20:52 - mmengine - INFO - Epoch(train) [24][50/79] lr: 6.8790e-03 eta: 6:03:59 time: 0.1857 data_time: 0.0006 memory: 1833 loss: 2.2867 loss_prob: 1.3891 loss_thr: 0.6620 loss_db: 0.2355 2022/12/19 20:20:53 - mmengine - INFO - Epoch(train) [24][55/79] lr: 6.8790e-03 eta: 6:04:03 time: 0.2185 data_time: 0.0006 memory: 1833 loss: 2.3824 loss_prob: 1.4570 loss_thr: 0.6799 loss_db: 0.2455 2022/12/19 20:20:55 - mmengine - INFO - Epoch(train) [24][60/79] lr: 6.8790e-03 eta: 6:04:04 time: 0.2495 data_time: 0.0006 memory: 1833 loss: 2.2996 loss_prob: 1.3991 loss_thr: 0.6666 loss_db: 0.2339 2022/12/19 20:20:56 - mmengine - INFO - Epoch(train) [24][65/79] lr: 6.8790e-03 eta: 6:04:10 time: 0.2552 data_time: 0.0006 memory: 1833 loss: 2.3975 loss_prob: 1.4594 loss_thr: 0.6884 loss_db: 0.2497 2022/12/19 20:20:57 - mmengine - INFO - Epoch(train) [24][70/79] lr: 6.8790e-03 eta: 6:04:03 time: 0.2393 data_time: 0.0006 memory: 1833 loss: 2.3852 loss_prob: 1.4512 loss_thr: 0.6847 loss_db: 0.2492 2022/12/19 20:20:58 - mmengine - INFO - Epoch(train) [24][75/79] lr: 6.8790e-03 eta: 6:03:56 time: 0.2101 data_time: 0.0006 memory: 1833 loss: 2.2671 loss_prob: 1.3864 loss_thr: 0.6471 loss_db: 0.2336 2022/12/19 20:20:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:21:01 - mmengine - INFO - Epoch(train) [25][5/79] lr: 6.8738e-03 eta: 6:04:19 time: 0.2900 data_time: 0.0676 memory: 1833 loss: 2.2400 loss_prob: 1.3509 loss_thr: 0.6633 loss_db: 0.2257 2022/12/19 20:21:02 - mmengine - INFO - Epoch(train) [25][10/79] lr: 6.8738e-03 eta: 6:04:11 time: 0.2959 data_time: 0.0676 memory: 1833 loss: 2.2960 loss_prob: 1.4025 loss_thr: 0.6586 loss_db: 0.2349 2022/12/19 20:21:03 - mmengine - INFO - Epoch(train) [25][15/79] lr: 6.8738e-03 eta: 6:03:56 time: 0.1921 data_time: 0.0007 memory: 1833 loss: 2.2629 loss_prob: 1.3907 loss_thr: 0.6403 loss_db: 0.2319 2022/12/19 20:21:04 - mmengine - INFO - Epoch(train) [25][20/79] lr: 6.8738e-03 eta: 6:03:48 time: 0.1927 data_time: 0.0007 memory: 1833 loss: 2.1919 loss_prob: 1.3456 loss_thr: 0.6223 loss_db: 0.2240 2022/12/19 20:21:05 - mmengine - INFO - Epoch(train) [25][25/79] lr: 6.8738e-03 eta: 6:03:44 time: 0.2156 data_time: 0.0007 memory: 1833 loss: 2.2933 loss_prob: 1.4121 loss_thr: 0.6450 loss_db: 0.2362 2022/12/19 20:21:06 - mmengine - INFO - Epoch(train) [25][30/79] lr: 6.8738e-03 eta: 6:03:44 time: 0.2302 data_time: 0.0007 memory: 1833 loss: 2.1682 loss_prob: 1.3220 loss_thr: 0.6267 loss_db: 0.2195 2022/12/19 20:21:07 - mmengine - INFO - Epoch(train) [25][35/79] lr: 6.8738e-03 eta: 6:03:32 time: 0.2140 data_time: 0.0007 memory: 1833 loss: 2.1250 loss_prob: 1.2760 loss_thr: 0.6362 loss_db: 0.2128 2022/12/19 20:21:08 - mmengine - INFO - Epoch(train) [25][40/79] lr: 6.8738e-03 eta: 6:03:45 time: 0.2419 data_time: 0.0007 memory: 1833 loss: 2.1674 loss_prob: 1.2877 loss_thr: 0.6669 loss_db: 0.2128 2022/12/19 20:21:09 - mmengine - INFO - Epoch(train) [25][45/79] lr: 6.8738e-03 eta: 6:03:31 time: 0.2378 data_time: 0.0007 memory: 1833 loss: 2.2782 loss_prob: 1.3732 loss_thr: 0.6758 loss_db: 0.2292 2022/12/19 20:21:10 - mmengine - INFO - Epoch(train) [25][50/79] lr: 6.8738e-03 eta: 6:03:22 time: 0.1918 data_time: 0.0007 memory: 1833 loss: 2.4014 loss_prob: 1.4668 loss_thr: 0.6862 loss_db: 0.2484 2022/12/19 20:21:11 - mmengine - INFO - Epoch(train) [25][55/79] lr: 6.8738e-03 eta: 6:03:14 time: 0.2040 data_time: 0.0006 memory: 1833 loss: 2.5204 loss_prob: 1.5454 loss_thr: 0.7134 loss_db: 0.2617 2022/12/19 20:21:12 - mmengine - INFO - Epoch(train) [25][60/79] lr: 6.8738e-03 eta: 6:03:10 time: 0.2148 data_time: 0.0006 memory: 1833 loss: 2.4278 loss_prob: 1.4936 loss_thr: 0.6820 loss_db: 0.2522 2022/12/19 20:21:13 - mmengine - INFO - Epoch(train) [25][65/79] lr: 6.8738e-03 eta: 6:03:04 time: 0.2197 data_time: 0.0006 memory: 1833 loss: 2.2727 loss_prob: 1.4113 loss_thr: 0.6247 loss_db: 0.2367 2022/12/19 20:21:14 - mmengine - INFO - Epoch(train) [25][70/79] lr: 6.8738e-03 eta: 6:02:50 time: 0.1980 data_time: 0.0006 memory: 1833 loss: 2.3954 loss_prob: 1.4841 loss_thr: 0.6606 loss_db: 0.2507 2022/12/19 20:21:15 - mmengine - INFO - Epoch(train) [25][75/79] lr: 6.8738e-03 eta: 6:02:39 time: 0.1857 data_time: 0.0006 memory: 1833 loss: 2.3027 loss_prob: 1.3923 loss_thr: 0.6767 loss_db: 0.2337 2022/12/19 20:21:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:21:18 - mmengine - INFO - Epoch(train) [26][5/79] lr: 6.8685e-03 eta: 6:03:23 time: 0.3284 data_time: 0.1289 memory: 1833 loss: 2.3331 loss_prob: 1.4186 loss_thr: 0.6750 loss_db: 0.2394 2022/12/19 20:21:19 - mmengine - INFO - Epoch(train) [26][10/79] lr: 6.8685e-03 eta: 6:03:17 time: 0.3456 data_time: 0.1290 memory: 1833 loss: 2.4056 loss_prob: 1.4518 loss_thr: 0.7085 loss_db: 0.2454 2022/12/19 20:21:21 - mmengine - INFO - Epoch(train) [26][15/79] lr: 6.8685e-03 eta: 6:03:13 time: 0.2194 data_time: 0.0007 memory: 1833 loss: 2.3593 loss_prob: 1.4262 loss_thr: 0.6930 loss_db: 0.2401 2022/12/19 20:21:22 - mmengine - INFO - Epoch(train) [26][20/79] lr: 6.8685e-03 eta: 6:03:07 time: 0.2179 data_time: 0.0007 memory: 1833 loss: 2.2534 loss_prob: 1.3762 loss_thr: 0.6458 loss_db: 0.2314 2022/12/19 20:21:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:21:23 - mmengine - INFO - Epoch(train) [26][25/79] lr: 6.8685e-03 eta: 6:02:59 time: 0.2100 data_time: 0.0007 memory: 1833 loss: 2.3116 loss_prob: 1.4204 loss_thr: 0.6523 loss_db: 0.2389 2022/12/19 20:21:24 - mmengine - INFO - Epoch(train) [26][30/79] lr: 6.8685e-03 eta: 6:02:51 time: 0.2062 data_time: 0.0007 memory: 1833 loss: 2.1167 loss_prob: 1.2823 loss_thr: 0.6175 loss_db: 0.2169 2022/12/19 20:21:25 - mmengine - INFO - Epoch(train) [26][35/79] lr: 6.8685e-03 eta: 6:02:52 time: 0.2240 data_time: 0.0007 memory: 1833 loss: 2.1023 loss_prob: 1.2678 loss_thr: 0.6204 loss_db: 0.2141 2022/12/19 20:21:26 - mmengine - INFO - Epoch(train) [26][40/79] lr: 6.8685e-03 eta: 6:02:48 time: 0.2333 data_time: 0.0007 memory: 1833 loss: 2.3232 loss_prob: 1.4105 loss_thr: 0.6745 loss_db: 0.2382 2022/12/19 20:21:27 - mmengine - INFO - Epoch(train) [26][45/79] lr: 6.8685e-03 eta: 6:02:43 time: 0.2195 data_time: 0.0007 memory: 1833 loss: 2.4696 loss_prob: 1.5138 loss_thr: 0.6976 loss_db: 0.2582 2022/12/19 20:21:28 - mmengine - INFO - Epoch(train) [26][50/79] lr: 6.8685e-03 eta: 6:02:32 time: 0.2057 data_time: 0.0006 memory: 1833 loss: 2.3161 loss_prob: 1.3979 loss_thr: 0.6806 loss_db: 0.2375 2022/12/19 20:21:29 - mmengine - INFO - Epoch(train) [26][55/79] lr: 6.8685e-03 eta: 6:02:23 time: 0.1971 data_time: 0.0006 memory: 1833 loss: 2.2602 loss_prob: 1.3559 loss_thr: 0.6734 loss_db: 0.2309 2022/12/19 20:21:30 - mmengine - INFO - Epoch(train) [26][60/79] lr: 6.8685e-03 eta: 6:02:09 time: 0.1876 data_time: 0.0006 memory: 1833 loss: 2.3530 loss_prob: 1.4374 loss_thr: 0.6745 loss_db: 0.2412 2022/12/19 20:21:31 - mmengine - INFO - Epoch(train) [26][65/79] lr: 6.8685e-03 eta: 6:02:13 time: 0.2163 data_time: 0.0006 memory: 1833 loss: 2.3038 loss_prob: 1.4025 loss_thr: 0.6658 loss_db: 0.2356 2022/12/19 20:21:32 - mmengine - INFO - Epoch(train) [26][70/79] lr: 6.8685e-03 eta: 6:02:07 time: 0.2354 data_time: 0.0006 memory: 1833 loss: 2.1224 loss_prob: 1.2714 loss_thr: 0.6359 loss_db: 0.2151 2022/12/19 20:21:33 - mmengine - INFO - Epoch(train) [26][75/79] lr: 6.8685e-03 eta: 6:02:02 time: 0.2148 data_time: 0.0006 memory: 1833 loss: 2.0436 loss_prob: 1.2153 loss_thr: 0.6232 loss_db: 0.2051 2022/12/19 20:21:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:21:37 - mmengine - INFO - Epoch(train) [27][5/79] lr: 6.8632e-03 eta: 6:02:48 time: 0.3445 data_time: 0.0480 memory: 1833 loss: 2.1684 loss_prob: 1.2768 loss_thr: 0.6775 loss_db: 0.2141 2022/12/19 20:21:38 - mmengine - INFO - Epoch(train) [27][10/79] lr: 6.8632e-03 eta: 6:02:38 time: 0.3429 data_time: 0.0480 memory: 1833 loss: 2.1301 loss_prob: 1.2692 loss_thr: 0.6455 loss_db: 0.2154 2022/12/19 20:21:39 - mmengine - INFO - Epoch(train) [27][15/79] lr: 6.8632e-03 eta: 6:02:30 time: 0.1999 data_time: 0.0008 memory: 1833 loss: 2.2203 loss_prob: 1.3081 loss_thr: 0.6894 loss_db: 0.2227 2022/12/19 20:21:40 - mmengine - INFO - Epoch(train) [27][20/79] lr: 6.8632e-03 eta: 6:02:28 time: 0.2167 data_time: 0.0008 memory: 1833 loss: 2.2783 loss_prob: 1.3826 loss_thr: 0.6636 loss_db: 0.2321 2022/12/19 20:21:41 - mmengine - INFO - Epoch(train) [27][25/79] lr: 6.8632e-03 eta: 6:02:22 time: 0.2219 data_time: 0.0007 memory: 1833 loss: 2.2274 loss_prob: 1.3722 loss_thr: 0.6247 loss_db: 0.2305 2022/12/19 20:21:42 - mmengine - INFO - Epoch(train) [27][30/79] lr: 6.8632e-03 eta: 6:02:11 time: 0.2021 data_time: 0.0007 memory: 1833 loss: 2.2345 loss_prob: 1.3528 loss_thr: 0.6524 loss_db: 0.2293 2022/12/19 20:21:43 - mmengine - INFO - Epoch(train) [27][35/79] lr: 6.8632e-03 eta: 6:02:04 time: 0.1992 data_time: 0.0007 memory: 1833 loss: 2.3352 loss_prob: 1.4233 loss_thr: 0.6748 loss_db: 0.2371 2022/12/19 20:21:44 - mmengine - INFO - Epoch(train) [27][40/79] lr: 6.8632e-03 eta: 6:01:58 time: 0.2112 data_time: 0.0007 memory: 1833 loss: 2.3086 loss_prob: 1.4077 loss_thr: 0.6632 loss_db: 0.2377 2022/12/19 20:21:45 - mmengine - INFO - Epoch(train) [27][45/79] lr: 6.8632e-03 eta: 6:01:56 time: 0.2212 data_time: 0.0007 memory: 1833 loss: 2.2872 loss_prob: 1.3891 loss_thr: 0.6614 loss_db: 0.2368 2022/12/19 20:21:46 - mmengine - INFO - Epoch(train) [27][50/79] lr: 6.8632e-03 eta: 6:01:50 time: 0.2195 data_time: 0.0007 memory: 1833 loss: 2.3736 loss_prob: 1.4385 loss_thr: 0.6909 loss_db: 0.2442 2022/12/19 20:21:47 - mmengine - INFO - Epoch(train) [27][55/79] lr: 6.8632e-03 eta: 6:01:47 time: 0.2189 data_time: 0.0006 memory: 1833 loss: 2.3000 loss_prob: 1.3950 loss_thr: 0.6664 loss_db: 0.2386 2022/12/19 20:21:48 - mmengine - INFO - Epoch(train) [27][60/79] lr: 6.8632e-03 eta: 6:01:37 time: 0.2099 data_time: 0.0006 memory: 1833 loss: 2.2732 loss_prob: 1.3818 loss_thr: 0.6541 loss_db: 0.2373 2022/12/19 20:21:49 - mmengine - INFO - Epoch(train) [27][65/79] lr: 6.8632e-03 eta: 6:01:23 time: 0.1847 data_time: 0.0006 memory: 1833 loss: 2.3158 loss_prob: 1.3992 loss_thr: 0.6763 loss_db: 0.2402 2022/12/19 20:21:50 - mmengine - INFO - Epoch(train) [27][70/79] lr: 6.8632e-03 eta: 6:01:20 time: 0.2005 data_time: 0.0006 memory: 1833 loss: 2.2453 loss_prob: 1.3418 loss_thr: 0.6735 loss_db: 0.2300 2022/12/19 20:21:51 - mmengine - INFO - Epoch(train) [27][75/79] lr: 6.8632e-03 eta: 6:01:19 time: 0.2294 data_time: 0.0006 memory: 1833 loss: 2.3097 loss_prob: 1.3940 loss_thr: 0.6796 loss_db: 0.2361 2022/12/19 20:21:52 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:21:54 - mmengine - INFO - Epoch(train) [28][5/79] lr: 6.8580e-03 eta: 6:01:38 time: 0.2812 data_time: 0.0826 memory: 1833 loss: 2.1861 loss_prob: 1.3285 loss_thr: 0.6360 loss_db: 0.2215 2022/12/19 20:21:55 - mmengine - INFO - Epoch(train) [28][10/79] lr: 6.8580e-03 eta: 6:01:31 time: 0.2959 data_time: 0.0827 memory: 1833 loss: 2.4554 loss_prob: 1.5212 loss_thr: 0.6685 loss_db: 0.2658 2022/12/19 20:21:56 - mmengine - INFO - Epoch(train) [28][15/79] lr: 6.8580e-03 eta: 6:01:31 time: 0.2241 data_time: 0.0007 memory: 1833 loss: 2.5775 loss_prob: 1.5923 loss_thr: 0.7120 loss_db: 0.2732 2022/12/19 20:21:57 - mmengine - INFO - Epoch(train) [28][20/79] lr: 6.8580e-03 eta: 6:01:31 time: 0.2380 data_time: 0.0007 memory: 1833 loss: 2.3394 loss_prob: 1.4329 loss_thr: 0.6644 loss_db: 0.2421 2022/12/19 20:21:59 - mmengine - INFO - Epoch(train) [28][25/79] lr: 6.8580e-03 eta: 6:01:29 time: 0.2350 data_time: 0.0008 memory: 1833 loss: 2.2498 loss_prob: 1.3656 loss_thr: 0.6496 loss_db: 0.2346 2022/12/19 20:22:00 - mmengine - INFO - Epoch(train) [28][30/79] lr: 6.8580e-03 eta: 6:01:26 time: 0.2294 data_time: 0.0008 memory: 1833 loss: 2.1300 loss_prob: 1.2739 loss_thr: 0.6407 loss_db: 0.2154 2022/12/19 20:22:01 - mmengine - INFO - Epoch(train) [28][35/79] lr: 6.8580e-03 eta: 6:01:23 time: 0.2248 data_time: 0.0007 memory: 1833 loss: 2.1531 loss_prob: 1.3043 loss_thr: 0.6299 loss_db: 0.2189 2022/12/19 20:22:02 - mmengine - INFO - Epoch(train) [28][40/79] lr: 6.8580e-03 eta: 6:01:16 time: 0.2156 data_time: 0.0007 memory: 1833 loss: 2.1285 loss_prob: 1.2720 loss_thr: 0.6423 loss_db: 0.2142 2022/12/19 20:22:03 - mmengine - INFO - Epoch(train) [28][45/79] lr: 6.8580e-03 eta: 6:01:02 time: 0.1915 data_time: 0.0007 memory: 1833 loss: 2.2471 loss_prob: 1.3505 loss_thr: 0.6700 loss_db: 0.2266 2022/12/19 20:22:04 - mmengine - INFO - Epoch(train) [28][50/79] lr: 6.8580e-03 eta: 6:01:00 time: 0.2016 data_time: 0.0007 memory: 1833 loss: 2.2510 loss_prob: 1.3645 loss_thr: 0.6546 loss_db: 0.2319 2022/12/19 20:22:05 - mmengine - INFO - Epoch(train) [28][55/79] lr: 6.8580e-03 eta: 6:00:50 time: 0.2104 data_time: 0.0006 memory: 1833 loss: 2.0920 loss_prob: 1.2521 loss_thr: 0.6305 loss_db: 0.2094 2022/12/19 20:22:06 - mmengine - INFO - Epoch(train) [28][60/79] lr: 6.8580e-03 eta: 6:00:40 time: 0.1929 data_time: 0.0006 memory: 1833 loss: 2.3688 loss_prob: 1.4641 loss_thr: 0.6634 loss_db: 0.2413 2022/12/19 20:22:07 - mmengine - INFO - Epoch(train) [28][65/79] lr: 6.8580e-03 eta: 6:00:33 time: 0.1997 data_time: 0.0006 memory: 1833 loss: 2.4146 loss_prob: 1.4892 loss_thr: 0.6771 loss_db: 0.2482 2022/12/19 20:22:08 - mmengine - INFO - Epoch(train) [28][70/79] lr: 6.8580e-03 eta: 6:00:23 time: 0.1989 data_time: 0.0006 memory: 1833 loss: 2.2636 loss_prob: 1.3580 loss_thr: 0.6732 loss_db: 0.2323 2022/12/19 20:22:09 - mmengine - INFO - Epoch(train) [28][75/79] lr: 6.8580e-03 eta: 6:00:23 time: 0.2150 data_time: 0.0006 memory: 1833 loss: 2.3248 loss_prob: 1.4073 loss_thr: 0.6785 loss_db: 0.2390 2022/12/19 20:22:10 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:22:12 - mmengine - INFO - Epoch(train) [29][5/79] lr: 6.8527e-03 eta: 6:00:39 time: 0.2726 data_time: 0.0357 memory: 1833 loss: 2.1330 loss_prob: 1.2659 loss_thr: 0.6553 loss_db: 0.2117 2022/12/19 20:22:13 - mmengine - INFO - Epoch(train) [29][10/79] lr: 6.8527e-03 eta: 6:00:38 time: 0.2963 data_time: 0.0358 memory: 1833 loss: 2.1456 loss_prob: 1.2816 loss_thr: 0.6470 loss_db: 0.2169 2022/12/19 20:22:14 - mmengine - INFO - Epoch(train) [29][15/79] lr: 6.8527e-03 eta: 6:00:28 time: 0.2133 data_time: 0.0007 memory: 1833 loss: 2.2546 loss_prob: 1.3589 loss_thr: 0.6643 loss_db: 0.2314 2022/12/19 20:22:15 - mmengine - INFO - Epoch(train) [29][20/79] lr: 6.8527e-03 eta: 6:00:26 time: 0.2107 data_time: 0.0008 memory: 1833 loss: 2.3223 loss_prob: 1.3989 loss_thr: 0.6847 loss_db: 0.2387 2022/12/19 20:22:16 - mmengine - INFO - Epoch(train) [29][25/79] lr: 6.8527e-03 eta: 6:00:25 time: 0.2313 data_time: 0.0007 memory: 1833 loss: 2.1836 loss_prob: 1.3012 loss_thr: 0.6624 loss_db: 0.2199 2022/12/19 20:22:17 - mmengine - INFO - Epoch(train) [29][30/79] lr: 6.8527e-03 eta: 6:00:18 time: 0.2193 data_time: 0.0007 memory: 1833 loss: 2.1563 loss_prob: 1.2976 loss_thr: 0.6460 loss_db: 0.2127 2022/12/19 20:22:18 - mmengine - INFO - Epoch(train) [29][35/79] lr: 6.8527e-03 eta: 6:00:08 time: 0.1990 data_time: 0.0007 memory: 1833 loss: 2.1546 loss_prob: 1.3088 loss_thr: 0.6269 loss_db: 0.2189 2022/12/19 20:22:19 - mmengine - INFO - Epoch(train) [29][40/79] lr: 6.8527e-03 eta: 6:00:12 time: 0.2253 data_time: 0.0007 memory: 1833 loss: 2.0960 loss_prob: 1.2696 loss_thr: 0.6096 loss_db: 0.2168 2022/12/19 20:22:20 - mmengine - INFO - Epoch(train) [29][45/79] lr: 6.8527e-03 eta: 6:00:06 time: 0.2333 data_time: 0.0007 memory: 1833 loss: 2.1110 loss_prob: 1.2749 loss_thr: 0.6221 loss_db: 0.2140 2022/12/19 20:22:21 - mmengine - INFO - Epoch(train) [29][50/79] lr: 6.8527e-03 eta: 6:00:01 time: 0.2111 data_time: 0.0007 memory: 1833 loss: 2.1798 loss_prob: 1.3156 loss_thr: 0.6424 loss_db: 0.2218 2022/12/19 20:22:22 - mmengine - INFO - Epoch(train) [29][55/79] lr: 6.8527e-03 eta: 5:59:56 time: 0.2156 data_time: 0.0006 memory: 1833 loss: 2.1523 loss_prob: 1.2955 loss_thr: 0.6396 loss_db: 0.2172 2022/12/19 20:22:24 - mmengine - INFO - Epoch(train) [29][60/79] lr: 6.8527e-03 eta: 5:59:53 time: 0.2199 data_time: 0.0006 memory: 1833 loss: 2.1900 loss_prob: 1.3433 loss_thr: 0.6221 loss_db: 0.2246 2022/12/19 20:22:25 - mmengine - INFO - Epoch(train) [29][65/79] lr: 6.8527e-03 eta: 5:59:45 time: 0.2123 data_time: 0.0006 memory: 1833 loss: 2.1538 loss_prob: 1.3219 loss_thr: 0.6087 loss_db: 0.2232 2022/12/19 20:22:25 - mmengine - INFO - Epoch(train) [29][70/79] lr: 6.8527e-03 eta: 5:59:35 time: 0.1947 data_time: 0.0006 memory: 1833 loss: 2.1040 loss_prob: 1.2659 loss_thr: 0.6257 loss_db: 0.2124 2022/12/19 20:22:27 - mmengine - INFO - Epoch(train) [29][75/79] lr: 6.8527e-03 eta: 5:59:29 time: 0.1994 data_time: 0.0006 memory: 1833 loss: 2.3212 loss_prob: 1.4001 loss_thr: 0.6884 loss_db: 0.2327 2022/12/19 20:22:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:22:29 - mmengine - INFO - Epoch(train) [30][5/79] lr: 6.8474e-03 eta: 5:59:41 time: 0.2651 data_time: 0.0693 memory: 1833 loss: 2.0244 loss_prob: 1.2062 loss_thr: 0.6135 loss_db: 0.2047 2022/12/19 20:22:30 - mmengine - INFO - Epoch(train) [30][10/79] lr: 6.8474e-03 eta: 5:59:39 time: 0.2953 data_time: 0.0695 memory: 1833 loss: 2.1289 loss_prob: 1.2755 loss_thr: 0.6367 loss_db: 0.2167 2022/12/19 20:22:31 - mmengine - INFO - Epoch(train) [30][15/79] lr: 6.8474e-03 eta: 5:59:31 time: 0.2154 data_time: 0.0008 memory: 1833 loss: 2.1810 loss_prob: 1.3031 loss_thr: 0.6620 loss_db: 0.2158 2022/12/19 20:22:32 - mmengine - INFO - Epoch(train) [30][20/79] lr: 6.8474e-03 eta: 5:59:29 time: 0.2145 data_time: 0.0007 memory: 1833 loss: 2.0959 loss_prob: 1.2563 loss_thr: 0.6326 loss_db: 0.2071 2022/12/19 20:22:33 - mmengine - INFO - Epoch(train) [30][25/79] lr: 6.8474e-03 eta: 5:59:25 time: 0.2232 data_time: 0.0007 memory: 1833 loss: 1.9618 loss_prob: 1.1710 loss_thr: 0.5939 loss_db: 0.1969 2022/12/19 20:22:34 - mmengine - INFO - Epoch(train) [30][30/79] lr: 6.8474e-03 eta: 5:59:17 time: 0.2100 data_time: 0.0007 memory: 1833 loss: 2.0747 loss_prob: 1.2592 loss_thr: 0.6067 loss_db: 0.2088 2022/12/19 20:22:35 - mmengine - INFO - Epoch(train) [30][35/79] lr: 6.8474e-03 eta: 5:59:14 time: 0.2101 data_time: 0.0007 memory: 1833 loss: 2.2988 loss_prob: 1.3970 loss_thr: 0.6731 loss_db: 0.2286 2022/12/19 20:22:37 - mmengine - INFO - Epoch(train) [30][40/79] lr: 6.8474e-03 eta: 5:59:10 time: 0.2218 data_time: 0.0007 memory: 1833 loss: 2.3221 loss_prob: 1.4090 loss_thr: 0.6786 loss_db: 0.2344 2022/12/19 20:22:38 - mmengine - INFO - Epoch(train) [30][45/79] lr: 6.8474e-03 eta: 5:59:06 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 2.0659 loss_prob: 1.2342 loss_thr: 0.6212 loss_db: 0.2106 2022/12/19 20:22:39 - mmengine - INFO - Epoch(train) [30][50/79] lr: 6.8474e-03 eta: 5:59:07 time: 0.2305 data_time: 0.0007 memory: 1833 loss: 2.0642 loss_prob: 1.2207 loss_thr: 0.6333 loss_db: 0.2102 2022/12/19 20:22:40 - mmengine - INFO - Epoch(train) [30][55/79] lr: 6.8474e-03 eta: 5:59:00 time: 0.2237 data_time: 0.0006 memory: 1833 loss: 2.1494 loss_prob: 1.2948 loss_thr: 0.6334 loss_db: 0.2212 2022/12/19 20:22:41 - mmengine - INFO - Epoch(train) [30][60/79] lr: 6.8474e-03 eta: 5:58:55 time: 0.2075 data_time: 0.0006 memory: 1833 loss: 2.1712 loss_prob: 1.3281 loss_thr: 0.6187 loss_db: 0.2243 2022/12/19 20:22:42 - mmengine - INFO - Epoch(train) [30][65/79] lr: 6.8474e-03 eta: 5:58:53 time: 0.2200 data_time: 0.0006 memory: 1833 loss: 2.2080 loss_prob: 1.3430 loss_thr: 0.6403 loss_db: 0.2248 2022/12/19 20:22:43 - mmengine - INFO - Epoch(train) [30][70/79] lr: 6.8474e-03 eta: 5:58:49 time: 0.2255 data_time: 0.0006 memory: 1833 loss: 2.1343 loss_prob: 1.2689 loss_thr: 0.6507 loss_db: 0.2147 2022/12/19 20:22:44 - mmengine - INFO - Epoch(train) [30][75/79] lr: 6.8474e-03 eta: 5:58:37 time: 0.1980 data_time: 0.0006 memory: 1833 loss: 2.0899 loss_prob: 1.2318 loss_thr: 0.6458 loss_db: 0.2123 2022/12/19 20:22:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:22:48 - mmengine - INFO - Epoch(train) [31][5/79] lr: 6.8422e-03 eta: 5:59:28 time: 0.3660 data_time: 0.0396 memory: 1833 loss: 2.0808 loss_prob: 1.2344 loss_thr: 0.6353 loss_db: 0.2110 2022/12/19 20:22:49 - mmengine - INFO - Epoch(train) [31][10/79] lr: 6.8422e-03 eta: 5:59:27 time: 0.3680 data_time: 0.0398 memory: 1833 loss: 2.0965 loss_prob: 1.2610 loss_thr: 0.6203 loss_db: 0.2152 2022/12/19 20:22:50 - mmengine - INFO - Epoch(train) [31][15/79] lr: 6.8422e-03 eta: 5:59:21 time: 0.2219 data_time: 0.0008 memory: 1833 loss: 2.1878 loss_prob: 1.3101 loss_thr: 0.6569 loss_db: 0.2208 2022/12/19 20:22:51 - mmengine - INFO - Epoch(train) [31][20/79] lr: 6.8422e-03 eta: 5:59:22 time: 0.2274 data_time: 0.0007 memory: 1833 loss: 2.2147 loss_prob: 1.3421 loss_thr: 0.6454 loss_db: 0.2272 2022/12/19 20:22:52 - mmengine - INFO - Epoch(train) [31][25/79] lr: 6.8422e-03 eta: 5:59:21 time: 0.2392 data_time: 0.0007 memory: 1833 loss: 2.1811 loss_prob: 1.3331 loss_thr: 0.6211 loss_db: 0.2269 2022/12/19 20:22:53 - mmengine - INFO - Epoch(train) [31][30/79] lr: 6.8422e-03 eta: 5:59:11 time: 0.2098 data_time: 0.0007 memory: 1833 loss: 2.1770 loss_prob: 1.3022 loss_thr: 0.6530 loss_db: 0.2218 2022/12/19 20:22:54 - mmengine - INFO - Epoch(train) [31][35/79] lr: 6.8422e-03 eta: 5:59:00 time: 0.1857 data_time: 0.0007 memory: 1833 loss: 1.9717 loss_prob: 1.1585 loss_thr: 0.6168 loss_db: 0.1964 2022/12/19 20:22:55 - mmengine - INFO - Epoch(train) [31][40/79] lr: 6.8422e-03 eta: 5:58:46 time: 0.1746 data_time: 0.0007 memory: 1833 loss: 2.1382 loss_prob: 1.2685 loss_thr: 0.6555 loss_db: 0.2142 2022/12/19 20:22:56 - mmengine - INFO - Epoch(train) [31][45/79] lr: 6.8422e-03 eta: 5:58:47 time: 0.2041 data_time: 0.0007 memory: 1833 loss: 2.2399 loss_prob: 1.3396 loss_thr: 0.6752 loss_db: 0.2251 2022/12/19 20:22:57 - mmengine - INFO - Epoch(train) [31][50/79] lr: 6.8422e-03 eta: 5:58:43 time: 0.2308 data_time: 0.0007 memory: 1833 loss: 2.2118 loss_prob: 1.3407 loss_thr: 0.6462 loss_db: 0.2249 2022/12/19 20:22:58 - mmengine - INFO - Epoch(train) [31][55/79] lr: 6.8422e-03 eta: 5:58:41 time: 0.2243 data_time: 0.0006 memory: 1833 loss: 2.1670 loss_prob: 1.3035 loss_thr: 0.6418 loss_db: 0.2218 2022/12/19 20:22:59 - mmengine - INFO - Epoch(train) [31][60/79] lr: 6.8422e-03 eta: 5:58:32 time: 0.2105 data_time: 0.0006 memory: 1833 loss: 2.0629 loss_prob: 1.2359 loss_thr: 0.6165 loss_db: 0.2105 2022/12/19 20:23:00 - mmengine - INFO - Epoch(train) [31][65/79] lr: 6.8422e-03 eta: 5:58:24 time: 0.1953 data_time: 0.0006 memory: 1833 loss: 2.1067 loss_prob: 1.2689 loss_thr: 0.6236 loss_db: 0.2141 2022/12/19 20:23:01 - mmengine - INFO - Epoch(train) [31][70/79] lr: 6.8422e-03 eta: 5:58:18 time: 0.2020 data_time: 0.0005 memory: 1833 loss: 2.1573 loss_prob: 1.2976 loss_thr: 0.6429 loss_db: 0.2169 2022/12/19 20:23:03 - mmengine - INFO - Epoch(train) [31][75/79] lr: 6.8422e-03 eta: 5:58:21 time: 0.2311 data_time: 0.0006 memory: 1833 loss: 2.1061 loss_prob: 1.2638 loss_thr: 0.6305 loss_db: 0.2118 2022/12/19 20:23:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:23:06 - mmengine - INFO - Epoch(train) [32][5/79] lr: 6.8369e-03 eta: 5:59:02 time: 0.3496 data_time: 0.0409 memory: 1833 loss: 2.1574 loss_prob: 1.2893 loss_thr: 0.6478 loss_db: 0.2203 2022/12/19 20:23:07 - mmengine - INFO - Epoch(train) [32][10/79] lr: 6.8369e-03 eta: 5:58:53 time: 0.3424 data_time: 0.0409 memory: 1833 loss: 2.5284 loss_prob: 1.5335 loss_thr: 0.7340 loss_db: 0.2609 2022/12/19 20:23:08 - mmengine - INFO - Epoch(train) [32][15/79] lr: 6.8369e-03 eta: 5:58:48 time: 0.2028 data_time: 0.0007 memory: 1833 loss: 2.3314 loss_prob: 1.4244 loss_thr: 0.6613 loss_db: 0.2457 2022/12/19 20:23:09 - mmengine - INFO - Epoch(train) [32][20/79] lr: 6.8369e-03 eta: 5:58:46 time: 0.2223 data_time: 0.0007 memory: 1833 loss: 2.0415 loss_prob: 1.2235 loss_thr: 0.6087 loss_db: 0.2093 2022/12/19 20:23:10 - mmengine - INFO - Epoch(train) [32][25/79] lr: 6.8369e-03 eta: 5:58:45 time: 0.2312 data_time: 0.0007 memory: 1833 loss: 2.0161 loss_prob: 1.1837 loss_thr: 0.6341 loss_db: 0.1983 2022/12/19 20:23:11 - mmengine - INFO - Epoch(train) [32][30/79] lr: 6.8369e-03 eta: 5:58:48 time: 0.2436 data_time: 0.0008 memory: 1833 loss: 2.0753 loss_prob: 1.2390 loss_thr: 0.6295 loss_db: 0.2068 2022/12/19 20:23:13 - mmengine - INFO - Epoch(train) [32][35/79] lr: 6.8369e-03 eta: 5:58:45 time: 0.2392 data_time: 0.0008 memory: 1833 loss: 2.1807 loss_prob: 1.3231 loss_thr: 0.6402 loss_db: 0.2174 2022/12/19 20:23:14 - mmengine - INFO - Epoch(train) [32][40/79] lr: 6.8369e-03 eta: 5:58:37 time: 0.2085 data_time: 0.0007 memory: 1833 loss: 2.2730 loss_prob: 1.3830 loss_thr: 0.6588 loss_db: 0.2312 2022/12/19 20:23:14 - mmengine - INFO - Epoch(train) [32][45/79] lr: 6.8369e-03 eta: 5:58:28 time: 0.1931 data_time: 0.0007 memory: 1833 loss: 2.2822 loss_prob: 1.3868 loss_thr: 0.6573 loss_db: 0.2381 2022/12/19 20:23:16 - mmengine - INFO - Epoch(train) [32][50/79] lr: 6.8369e-03 eta: 5:58:26 time: 0.2119 data_time: 0.0007 memory: 1833 loss: 2.3013 loss_prob: 1.4087 loss_thr: 0.6492 loss_db: 0.2433 2022/12/19 20:23:17 - mmengine - INFO - Epoch(train) [32][55/79] lr: 6.8369e-03 eta: 5:58:24 time: 0.2284 data_time: 0.0006 memory: 1833 loss: 2.2073 loss_prob: 1.3458 loss_thr: 0.6303 loss_db: 0.2312 2022/12/19 20:23:18 - mmengine - INFO - Epoch(train) [32][60/79] lr: 6.8369e-03 eta: 5:58:21 time: 0.2242 data_time: 0.0006 memory: 1833 loss: 2.2605 loss_prob: 1.3684 loss_thr: 0.6623 loss_db: 0.2299 2022/12/19 20:23:19 - mmengine - INFO - Epoch(train) [32][65/79] lr: 6.8369e-03 eta: 5:58:16 time: 0.2182 data_time: 0.0006 memory: 1833 loss: 2.3977 loss_prob: 1.4622 loss_thr: 0.6896 loss_db: 0.2460 2022/12/19 20:23:20 - mmengine - INFO - Epoch(train) [32][70/79] lr: 6.8369e-03 eta: 5:58:25 time: 0.2498 data_time: 0.0006 memory: 1833 loss: 2.3426 loss_prob: 1.4234 loss_thr: 0.6734 loss_db: 0.2458 2022/12/19 20:23:21 - mmengine - INFO - Epoch(train) [32][75/79] lr: 6.8369e-03 eta: 5:58:21 time: 0.2522 data_time: 0.0007 memory: 1833 loss: 2.2461 loss_prob: 1.3484 loss_thr: 0.6657 loss_db: 0.2319 2022/12/19 20:23:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:23:24 - mmengine - INFO - Epoch(train) [33][5/79] lr: 6.8316e-03 eta: 5:58:39 time: 0.2864 data_time: 0.0165 memory: 1833 loss: 2.1702 loss_prob: 1.3327 loss_thr: 0.6072 loss_db: 0.2302 2022/12/19 20:23:25 - mmengine - INFO - Epoch(train) [33][10/79] lr: 6.8316e-03 eta: 5:58:38 time: 0.2988 data_time: 0.0165 memory: 1833 loss: 2.1429 loss_prob: 1.3133 loss_thr: 0.6083 loss_db: 0.2213 2022/12/19 20:23:26 - mmengine - INFO - Epoch(train) [33][15/79] lr: 6.8316e-03 eta: 5:58:34 time: 0.2252 data_time: 0.0007 memory: 1833 loss: 2.2260 loss_prob: 1.3545 loss_thr: 0.6440 loss_db: 0.2274 2022/12/19 20:23:27 - mmengine - INFO - Epoch(train) [33][20/79] lr: 6.8316e-03 eta: 5:58:28 time: 0.2119 data_time: 0.0007 memory: 1833 loss: 2.2112 loss_prob: 1.3401 loss_thr: 0.6459 loss_db: 0.2252 2022/12/19 20:23:29 - mmengine - INFO - Epoch(train) [33][25/79] lr: 6.8316e-03 eta: 5:58:28 time: 0.2241 data_time: 0.0007 memory: 1833 loss: 2.1682 loss_prob: 1.2849 loss_thr: 0.6673 loss_db: 0.2161 2022/12/19 20:23:30 - mmengine - INFO - Epoch(train) [33][30/79] lr: 6.8316e-03 eta: 5:58:26 time: 0.2332 data_time: 0.0007 memory: 1833 loss: 1.9842 loss_prob: 1.1689 loss_thr: 0.6179 loss_db: 0.1974 2022/12/19 20:23:31 - mmengine - INFO - Epoch(train) [33][35/79] lr: 6.8316e-03 eta: 5:58:27 time: 0.2348 data_time: 0.0007 memory: 1833 loss: 2.1612 loss_prob: 1.2977 loss_thr: 0.6439 loss_db: 0.2196 2022/12/19 20:23:32 - mmengine - INFO - Epoch(train) [33][40/79] lr: 6.8316e-03 eta: 5:58:22 time: 0.2272 data_time: 0.0007 memory: 1833 loss: 2.2640 loss_prob: 1.3559 loss_thr: 0.6777 loss_db: 0.2305 2022/12/19 20:23:33 - mmengine - INFO - Epoch(train) [33][45/79] lr: 6.8316e-03 eta: 5:58:17 time: 0.2115 data_time: 0.0007 memory: 1833 loss: 2.1527 loss_prob: 1.2948 loss_thr: 0.6338 loss_db: 0.2242 2022/12/19 20:23:34 - mmengine - INFO - Epoch(train) [33][50/79] lr: 6.8316e-03 eta: 5:58:13 time: 0.2153 data_time: 0.0006 memory: 1833 loss: 2.2680 loss_prob: 1.3946 loss_thr: 0.6371 loss_db: 0.2363 2022/12/19 20:23:35 - mmengine - INFO - Epoch(train) [33][55/79] lr: 6.8316e-03 eta: 5:58:04 time: 0.2038 data_time: 0.0006 memory: 1833 loss: 2.4783 loss_prob: 1.5485 loss_thr: 0.6789 loss_db: 0.2509 2022/12/19 20:23:36 - mmengine - INFO - Epoch(train) [33][60/79] lr: 6.8316e-03 eta: 5:58:07 time: 0.2227 data_time: 0.0007 memory: 1833 loss: 2.5084 loss_prob: 1.5436 loss_thr: 0.7109 loss_db: 0.2539 2022/12/19 20:23:37 - mmengine - INFO - Epoch(train) [33][65/79] lr: 6.8316e-03 eta: 5:57:57 time: 0.2200 data_time: 0.0007 memory: 1833 loss: 2.1850 loss_prob: 1.2981 loss_thr: 0.6665 loss_db: 0.2204 2022/12/19 20:23:38 - mmengine - INFO - Epoch(train) [33][70/79] lr: 6.8316e-03 eta: 5:57:53 time: 0.2010 data_time: 0.0007 memory: 1833 loss: 2.2146 loss_prob: 1.3278 loss_thr: 0.6658 loss_db: 0.2209 2022/12/19 20:23:39 - mmengine - INFO - Epoch(train) [33][75/79] lr: 6.8316e-03 eta: 5:57:44 time: 0.2027 data_time: 0.0007 memory: 1833 loss: 2.2575 loss_prob: 1.3664 loss_thr: 0.6648 loss_db: 0.2263 2022/12/19 20:23:40 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:23:42 - mmengine - INFO - Epoch(train) [34][5/79] lr: 6.8264e-03 eta: 5:58:14 time: 0.3203 data_time: 0.0436 memory: 1833 loss: 2.4808 loss_prob: 1.5330 loss_thr: 0.6912 loss_db: 0.2565 2022/12/19 20:23:44 - mmengine - INFO - Epoch(train) [34][10/79] lr: 6.8264e-03 eta: 5:58:14 time: 0.3332 data_time: 0.0437 memory: 1833 loss: 2.4639 loss_prob: 1.5096 loss_thr: 0.6999 loss_db: 0.2544 2022/12/19 20:23:45 - mmengine - INFO - Epoch(train) [34][15/79] lr: 6.8264e-03 eta: 5:58:09 time: 0.2246 data_time: 0.0008 memory: 1833 loss: 2.2840 loss_prob: 1.3835 loss_thr: 0.6663 loss_db: 0.2342 2022/12/19 20:23:46 - mmengine - INFO - Epoch(train) [34][20/79] lr: 6.8264e-03 eta: 5:58:04 time: 0.2111 data_time: 0.0007 memory: 1833 loss: 2.1130 loss_prob: 1.2690 loss_thr: 0.6298 loss_db: 0.2142 2022/12/19 20:23:47 - mmengine - INFO - Epoch(train) [34][25/79] lr: 6.8264e-03 eta: 5:58:01 time: 0.2176 data_time: 0.0008 memory: 1833 loss: 2.1577 loss_prob: 1.2957 loss_thr: 0.6405 loss_db: 0.2215 2022/12/19 20:23:48 - mmengine - INFO - Epoch(train) [34][30/79] lr: 6.8264e-03 eta: 5:57:56 time: 0.2169 data_time: 0.0007 memory: 1833 loss: 2.1819 loss_prob: 1.3025 loss_thr: 0.6554 loss_db: 0.2240 2022/12/19 20:23:49 - mmengine - INFO - Epoch(train) [34][35/79] lr: 6.8264e-03 eta: 5:57:49 time: 0.2045 data_time: 0.0007 memory: 1833 loss: 2.1143 loss_prob: 1.2625 loss_thr: 0.6381 loss_db: 0.2137 2022/12/19 20:23:50 - mmengine - INFO - Epoch(train) [34][40/79] lr: 6.8264e-03 eta: 5:57:48 time: 0.2163 data_time: 0.0007 memory: 1833 loss: 2.1467 loss_prob: 1.2735 loss_thr: 0.6565 loss_db: 0.2166 2022/12/19 20:23:51 - mmengine - INFO - Epoch(train) [34][45/79] lr: 6.8264e-03 eta: 5:57:45 time: 0.2301 data_time: 0.0007 memory: 1833 loss: 2.1297 loss_prob: 1.2628 loss_thr: 0.6500 loss_db: 0.2169 2022/12/19 20:23:52 - mmengine - INFO - Epoch(train) [34][50/79] lr: 6.8264e-03 eta: 5:57:47 time: 0.2360 data_time: 0.0014 memory: 1833 loss: 2.0185 loss_prob: 1.2117 loss_thr: 0.5974 loss_db: 0.2095 2022/12/19 20:23:53 - mmengine - INFO - Epoch(train) [34][55/79] lr: 6.8264e-03 eta: 5:57:40 time: 0.2250 data_time: 0.0014 memory: 1833 loss: 2.1484 loss_prob: 1.3013 loss_thr: 0.6226 loss_db: 0.2246 2022/12/19 20:23:54 - mmengine - INFO - Epoch(train) [34][60/79] lr: 6.8264e-03 eta: 5:57:36 time: 0.2081 data_time: 0.0006 memory: 1833 loss: 2.3138 loss_prob: 1.4049 loss_thr: 0.6728 loss_db: 0.2361 2022/12/19 20:23:56 - mmengine - INFO - Epoch(train) [34][65/79] lr: 6.8264e-03 eta: 5:57:34 time: 0.2212 data_time: 0.0006 memory: 1833 loss: 2.2001 loss_prob: 1.3284 loss_thr: 0.6562 loss_db: 0.2155 2022/12/19 20:23:57 - mmengine - INFO - Epoch(train) [34][70/79] lr: 6.8264e-03 eta: 5:57:30 time: 0.2236 data_time: 0.0006 memory: 1833 loss: 1.9617 loss_prob: 1.1660 loss_thr: 0.6063 loss_db: 0.1893 2022/12/19 20:23:58 - mmengine - INFO - Epoch(train) [34][75/79] lr: 6.8264e-03 eta: 5:57:29 time: 0.2253 data_time: 0.0007 memory: 1833 loss: 2.0165 loss_prob: 1.2100 loss_thr: 0.6042 loss_db: 0.2023 2022/12/19 20:23:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:24:01 - mmengine - INFO - Epoch(train) [35][5/79] lr: 6.8211e-03 eta: 5:57:46 time: 0.2878 data_time: 0.0320 memory: 1833 loss: 2.2555 loss_prob: 1.3421 loss_thr: 0.6854 loss_db: 0.2280 2022/12/19 20:24:02 - mmengine - INFO - Epoch(train) [35][10/79] lr: 6.8211e-03 eta: 5:57:44 time: 0.3039 data_time: 0.0320 memory: 1833 loss: 2.2355 loss_prob: 1.3432 loss_thr: 0.6645 loss_db: 0.2278 2022/12/19 20:24:03 - mmengine - INFO - Epoch(train) [35][15/79] lr: 6.8211e-03 eta: 5:57:41 time: 0.2236 data_time: 0.0007 memory: 1833 loss: 2.2122 loss_prob: 1.3381 loss_thr: 0.6450 loss_db: 0.2291 2022/12/19 20:24:04 - mmengine - INFO - Epoch(train) [35][20/79] lr: 6.8211e-03 eta: 5:57:35 time: 0.2144 data_time: 0.0007 memory: 1833 loss: 2.1561 loss_prob: 1.2912 loss_thr: 0.6444 loss_db: 0.2206 2022/12/19 20:24:05 - mmengine - INFO - Epoch(train) [35][25/79] lr: 6.8211e-03 eta: 5:57:32 time: 0.2153 data_time: 0.0007 memory: 1833 loss: 2.0297 loss_prob: 1.2023 loss_thr: 0.6236 loss_db: 0.2038 2022/12/19 20:24:06 - mmengine - INFO - Epoch(train) [35][30/79] lr: 6.8211e-03 eta: 5:57:31 time: 0.2271 data_time: 0.0007 memory: 1833 loss: 2.0433 loss_prob: 1.2167 loss_thr: 0.6218 loss_db: 0.2048 2022/12/19 20:24:07 - mmengine - INFO - Epoch(train) [35][35/79] lr: 6.8211e-03 eta: 5:57:27 time: 0.2238 data_time: 0.0007 memory: 1833 loss: 2.0666 loss_prob: 1.2322 loss_thr: 0.6263 loss_db: 0.2081 2022/12/19 20:24:09 - mmengine - INFO - Epoch(train) [35][40/79] lr: 6.8211e-03 eta: 5:57:42 time: 0.2718 data_time: 0.0008 memory: 1833 loss: 2.0386 loss_prob: 1.2007 loss_thr: 0.6356 loss_db: 0.2023 2022/12/19 20:24:10 - mmengine - INFO - Epoch(train) [35][45/79] lr: 6.8211e-03 eta: 5:57:35 time: 0.2643 data_time: 0.0009 memory: 1833 loss: 2.1628 loss_prob: 1.3004 loss_thr: 0.6479 loss_db: 0.2145 2022/12/19 20:24:11 - mmengine - INFO - Epoch(train) [35][50/79] lr: 6.8211e-03 eta: 5:57:27 time: 0.1976 data_time: 0.0007 memory: 1833 loss: 2.4284 loss_prob: 1.5003 loss_thr: 0.6827 loss_db: 0.2453 2022/12/19 20:24:12 - mmengine - INFO - Epoch(train) [35][55/79] lr: 6.8211e-03 eta: 5:57:21 time: 0.1985 data_time: 0.0006 memory: 1833 loss: 2.3147 loss_prob: 1.4099 loss_thr: 0.6707 loss_db: 0.2341 2022/12/19 20:24:13 - mmengine - INFO - Epoch(train) [35][60/79] lr: 6.8211e-03 eta: 5:57:15 time: 0.2027 data_time: 0.0006 memory: 1833 loss: 2.1834 loss_prob: 1.3185 loss_thr: 0.6419 loss_db: 0.2230 2022/12/19 20:24:14 - mmengine - INFO - Epoch(train) [35][65/79] lr: 6.8211e-03 eta: 5:57:10 time: 0.2071 data_time: 0.0006 memory: 1833 loss: 2.2049 loss_prob: 1.3484 loss_thr: 0.6262 loss_db: 0.2303 2022/12/19 20:24:15 - mmengine - INFO - Epoch(train) [35][70/79] lr: 6.8211e-03 eta: 5:57:06 time: 0.2145 data_time: 0.0006 memory: 1833 loss: 2.2011 loss_prob: 1.3290 loss_thr: 0.6466 loss_db: 0.2255 2022/12/19 20:24:16 - mmengine - INFO - Epoch(train) [35][75/79] lr: 6.8211e-03 eta: 5:57:00 time: 0.2090 data_time: 0.0006 memory: 1833 loss: 2.3207 loss_prob: 1.4177 loss_thr: 0.6706 loss_db: 0.2324 2022/12/19 20:24:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:24:19 - mmengine - INFO - Epoch(train) [36][5/79] lr: 6.8158e-03 eta: 5:57:27 time: 0.3234 data_time: 0.1150 memory: 1833 loss: 2.1243 loss_prob: 1.2674 loss_thr: 0.6455 loss_db: 0.2114 2022/12/19 20:24:20 - mmengine - INFO - Epoch(train) [36][10/79] lr: 6.8158e-03 eta: 5:57:24 time: 0.3369 data_time: 0.1151 memory: 1833 loss: 2.1573 loss_prob: 1.2903 loss_thr: 0.6532 loss_db: 0.2138 2022/12/19 20:24:21 - mmengine - INFO - Epoch(train) [36][15/79] lr: 6.8158e-03 eta: 5:57:22 time: 0.2244 data_time: 0.0007 memory: 1833 loss: 2.1074 loss_prob: 1.2628 loss_thr: 0.6299 loss_db: 0.2147 2022/12/19 20:24:22 - mmengine - INFO - Epoch(train) [36][20/79] lr: 6.8158e-03 eta: 5:57:21 time: 0.2333 data_time: 0.0007 memory: 1833 loss: 2.1217 loss_prob: 1.2709 loss_thr: 0.6321 loss_db: 0.2186 2022/12/19 20:24:23 - mmengine - INFO - Epoch(train) [36][25/79] lr: 6.8158e-03 eta: 5:57:17 time: 0.2256 data_time: 0.0007 memory: 1833 loss: 2.1501 loss_prob: 1.2900 loss_thr: 0.6416 loss_db: 0.2186 2022/12/19 20:24:25 - mmengine - INFO - Epoch(train) [36][30/79] lr: 6.8158e-03 eta: 5:57:27 time: 0.2567 data_time: 0.0008 memory: 1833 loss: 2.1476 loss_prob: 1.2858 loss_thr: 0.6462 loss_db: 0.2155 2022/12/19 20:24:26 - mmengine - INFO - Epoch(train) [36][35/79] lr: 6.8158e-03 eta: 5:57:22 time: 0.2543 data_time: 0.0008 memory: 1833 loss: 2.2063 loss_prob: 1.3261 loss_thr: 0.6580 loss_db: 0.2222 2022/12/19 20:24:27 - mmengine - INFO - Epoch(train) [36][40/79] lr: 6.8158e-03 eta: 5:57:21 time: 0.2229 data_time: 0.0007 memory: 1833 loss: 2.0905 loss_prob: 1.2567 loss_thr: 0.6238 loss_db: 0.2100 2022/12/19 20:24:28 - mmengine - INFO - Epoch(train) [36][45/79] lr: 6.8158e-03 eta: 5:57:23 time: 0.2437 data_time: 0.0008 memory: 1833 loss: 2.0601 loss_prob: 1.2358 loss_thr: 0.6191 loss_db: 0.2052 2022/12/19 20:24:29 - mmengine - INFO - Epoch(train) [36][50/79] lr: 6.8158e-03 eta: 5:57:17 time: 0.2277 data_time: 0.0008 memory: 1833 loss: 2.0967 loss_prob: 1.2617 loss_thr: 0.6232 loss_db: 0.2118 2022/12/19 20:24:30 - mmengine - INFO - Epoch(train) [36][55/79] lr: 6.8158e-03 eta: 5:57:09 time: 0.1957 data_time: 0.0007 memory: 1833 loss: 2.0505 loss_prob: 1.2359 loss_thr: 0.6041 loss_db: 0.2105 2022/12/19 20:24:31 - mmengine - INFO - Epoch(train) [36][60/79] lr: 6.8158e-03 eta: 5:57:03 time: 0.1959 data_time: 0.0006 memory: 1833 loss: 2.1272 loss_prob: 1.2769 loss_thr: 0.6306 loss_db: 0.2197 2022/12/19 20:24:32 - mmengine - INFO - Epoch(train) [36][65/79] lr: 6.8158e-03 eta: 5:56:54 time: 0.1945 data_time: 0.0006 memory: 1833 loss: 2.2226 loss_prob: 1.3309 loss_thr: 0.6613 loss_db: 0.2305 2022/12/19 20:24:34 - mmengine - INFO - Epoch(train) [36][70/79] lr: 6.8158e-03 eta: 5:56:58 time: 0.2252 data_time: 0.0006 memory: 1833 loss: 2.1998 loss_prob: 1.3257 loss_thr: 0.6505 loss_db: 0.2236 2022/12/19 20:24:35 - mmengine - INFO - Epoch(train) [36][75/79] lr: 6.8158e-03 eta: 5:56:52 time: 0.2340 data_time: 0.0006 memory: 1833 loss: 2.2268 loss_prob: 1.3496 loss_thr: 0.6581 loss_db: 0.2192 2022/12/19 20:24:35 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:24:38 - mmengine - INFO - Epoch(train) [37][5/79] lr: 6.8106e-03 eta: 5:57:20 time: 0.3186 data_time: 0.0413 memory: 1833 loss: 2.4073 loss_prob: 1.5006 loss_thr: 0.6575 loss_db: 0.2492 2022/12/19 20:24:39 - mmengine - INFO - Epoch(train) [37][10/79] lr: 6.8106e-03 eta: 5:57:14 time: 0.3263 data_time: 0.0413 memory: 1833 loss: 2.3298 loss_prob: 1.4535 loss_thr: 0.6331 loss_db: 0.2433 2022/12/19 20:24:40 - mmengine - INFO - Epoch(train) [37][15/79] lr: 6.8106e-03 eta: 5:57:12 time: 0.2146 data_time: 0.0007 memory: 1833 loss: 2.0057 loss_prob: 1.2026 loss_thr: 0.5957 loss_db: 0.2074 2022/12/19 20:24:41 - mmengine - INFO - Epoch(train) [37][20/79] lr: 6.8106e-03 eta: 5:57:14 time: 0.2419 data_time: 0.0010 memory: 1833 loss: 2.0003 loss_prob: 1.1834 loss_thr: 0.6170 loss_db: 0.1998 2022/12/19 20:24:42 - mmengine - INFO - Epoch(train) [37][25/79] lr: 6.8106e-03 eta: 5:57:12 time: 0.2410 data_time: 0.0010 memory: 1833 loss: 2.0974 loss_prob: 1.2331 loss_thr: 0.6542 loss_db: 0.2101 2022/12/19 20:24:43 - mmengine - INFO - Epoch(train) [37][30/79] lr: 6.8106e-03 eta: 5:57:12 time: 0.2329 data_time: 0.0007 memory: 1833 loss: 2.1295 loss_prob: 1.2847 loss_thr: 0.6231 loss_db: 0.2217 2022/12/19 20:24:44 - mmengine - INFO - Epoch(train) [37][35/79] lr: 6.8106e-03 eta: 5:57:07 time: 0.2261 data_time: 0.0007 memory: 1833 loss: 2.1027 loss_prob: 1.2696 loss_thr: 0.6138 loss_db: 0.2193 2022/12/19 20:24:45 - mmengine - INFO - Epoch(train) [37][40/79] lr: 6.8106e-03 eta: 5:57:01 time: 0.2057 data_time: 0.0007 memory: 1833 loss: 2.1590 loss_prob: 1.2881 loss_thr: 0.6507 loss_db: 0.2202 2022/12/19 20:24:46 - mmengine - INFO - Epoch(train) [37][45/79] lr: 6.8106e-03 eta: 5:56:53 time: 0.1937 data_time: 0.0007 memory: 1833 loss: 2.0909 loss_prob: 1.2492 loss_thr: 0.6308 loss_db: 0.2109 2022/12/19 20:24:48 - mmengine - INFO - Epoch(train) [37][50/79] lr: 6.8106e-03 eta: 5:56:51 time: 0.2089 data_time: 0.0007 memory: 1833 loss: 2.0407 loss_prob: 1.2219 loss_thr: 0.6127 loss_db: 0.2061 2022/12/19 20:24:49 - mmengine - INFO - Epoch(train) [37][55/79] lr: 6.8106e-03 eta: 5:56:47 time: 0.2229 data_time: 0.0006 memory: 1833 loss: 2.1354 loss_prob: 1.2946 loss_thr: 0.6243 loss_db: 0.2164 2022/12/19 20:24:50 - mmengine - INFO - Epoch(train) [37][60/79] lr: 6.8106e-03 eta: 5:56:47 time: 0.2287 data_time: 0.0006 memory: 1833 loss: 1.9896 loss_prob: 1.1613 loss_thr: 0.6330 loss_db: 0.1952 2022/12/19 20:24:51 - mmengine - INFO - Epoch(train) [37][65/79] lr: 6.8106e-03 eta: 5:56:43 time: 0.2267 data_time: 0.0006 memory: 1833 loss: 1.8128 loss_prob: 1.0383 loss_thr: 0.5986 loss_db: 0.1760 2022/12/19 20:24:52 - mmengine - INFO - Epoch(train) [37][70/79] lr: 6.8106e-03 eta: 5:56:40 time: 0.2183 data_time: 0.0006 memory: 1833 loss: 1.8694 loss_prob: 1.1011 loss_thr: 0.5822 loss_db: 0.1861 2022/12/19 20:24:53 - mmengine - INFO - Epoch(train) [37][75/79] lr: 6.8106e-03 eta: 5:56:38 time: 0.2248 data_time: 0.0006 memory: 1833 loss: 2.0174 loss_prob: 1.2120 loss_thr: 0.5999 loss_db: 0.2055 2022/12/19 20:24:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:24:56 - mmengine - INFO - Epoch(train) [38][5/79] lr: 6.8053e-03 eta: 5:57:06 time: 0.3233 data_time: 0.0491 memory: 1833 loss: 2.3795 loss_prob: 1.4696 loss_thr: 0.6618 loss_db: 0.2480 2022/12/19 20:24:57 - mmengine - INFO - Epoch(train) [38][10/79] lr: 6.8053e-03 eta: 5:56:59 time: 0.3315 data_time: 0.0494 memory: 1833 loss: 2.2593 loss_prob: 1.3846 loss_thr: 0.6402 loss_db: 0.2346 2022/12/19 20:24:58 - mmengine - INFO - Epoch(train) [38][15/79] lr: 6.8053e-03 eta: 5:56:53 time: 0.1984 data_time: 0.0009 memory: 1833 loss: 2.1484 loss_prob: 1.2968 loss_thr: 0.6269 loss_db: 0.2247 2022/12/19 20:24:59 - mmengine - INFO - Epoch(train) [38][20/79] lr: 6.8053e-03 eta: 5:56:54 time: 0.2255 data_time: 0.0007 memory: 1833 loss: 2.0655 loss_prob: 1.2394 loss_thr: 0.6163 loss_db: 0.2098 2022/12/19 20:25:01 - mmengine - INFO - Epoch(train) [38][25/79] lr: 6.8053e-03 eta: 5:56:53 time: 0.2405 data_time: 0.0007 memory: 1833 loss: 2.0170 loss_prob: 1.2111 loss_thr: 0.6022 loss_db: 0.2037 2022/12/19 20:25:02 - mmengine - INFO - Epoch(train) [38][30/79] lr: 6.8053e-03 eta: 5:56:46 time: 0.2139 data_time: 0.0007 memory: 1833 loss: 2.0329 loss_prob: 1.2287 loss_thr: 0.5958 loss_db: 0.2084 2022/12/19 20:25:03 - mmengine - INFO - Epoch(train) [38][35/79] lr: 6.8053e-03 eta: 5:56:40 time: 0.2001 data_time: 0.0007 memory: 1833 loss: 2.0516 loss_prob: 1.2269 loss_thr: 0.6137 loss_db: 0.2111 2022/12/19 20:25:04 - mmengine - INFO - Epoch(train) [38][40/79] lr: 6.8053e-03 eta: 5:56:38 time: 0.2172 data_time: 0.0007 memory: 1833 loss: 2.0680 loss_prob: 1.2124 loss_thr: 0.6474 loss_db: 0.2082 2022/12/19 20:25:05 - mmengine - INFO - Epoch(train) [38][45/79] lr: 6.8053e-03 eta: 5:56:44 time: 0.2518 data_time: 0.0007 memory: 1833 loss: 2.0684 loss_prob: 1.2203 loss_thr: 0.6376 loss_db: 0.2105 2022/12/19 20:25:06 - mmengine - INFO - Epoch(train) [38][50/79] lr: 6.8053e-03 eta: 5:56:37 time: 0.2369 data_time: 0.0007 memory: 1833 loss: 2.0168 loss_prob: 1.2011 loss_thr: 0.6078 loss_db: 0.2079 2022/12/19 20:25:07 - mmengine - INFO - Epoch(train) [38][55/79] lr: 6.8053e-03 eta: 5:56:29 time: 0.1947 data_time: 0.0006 memory: 1833 loss: 2.1027 loss_prob: 1.2677 loss_thr: 0.6223 loss_db: 0.2127 2022/12/19 20:25:08 - mmengine - INFO - Epoch(train) [38][60/79] lr: 6.8053e-03 eta: 5:56:23 time: 0.1960 data_time: 0.0006 memory: 1833 loss: 2.2400 loss_prob: 1.3591 loss_thr: 0.6513 loss_db: 0.2296 2022/12/19 20:25:09 - mmengine - INFO - Epoch(train) [38][65/79] lr: 6.8053e-03 eta: 5:56:20 time: 0.2086 data_time: 0.0006 memory: 1833 loss: 2.0342 loss_prob: 1.2103 loss_thr: 0.6196 loss_db: 0.2043 2022/12/19 20:25:10 - mmengine - INFO - Epoch(train) [38][70/79] lr: 6.8053e-03 eta: 5:56:15 time: 0.2117 data_time: 0.0005 memory: 1833 loss: 2.0069 loss_prob: 1.1963 loss_thr: 0.6099 loss_db: 0.2007 2022/12/19 20:25:11 - mmengine - INFO - Epoch(train) [38][75/79] lr: 6.8053e-03 eta: 5:56:09 time: 0.2072 data_time: 0.0005 memory: 1833 loss: 2.1057 loss_prob: 1.2632 loss_thr: 0.6287 loss_db: 0.2139 2022/12/19 20:25:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:25:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:25:15 - mmengine - INFO - Epoch(train) [39][5/79] lr: 6.8000e-03 eta: 5:56:49 time: 0.3644 data_time: 0.1482 memory: 1833 loss: 2.1325 loss_prob: 1.2743 loss_thr: 0.6435 loss_db: 0.2147 2022/12/19 20:25:16 - mmengine - INFO - Epoch(train) [39][10/79] lr: 6.8000e-03 eta: 5:56:46 time: 0.3689 data_time: 0.1482 memory: 1833 loss: 2.4010 loss_prob: 1.5419 loss_thr: 0.6251 loss_db: 0.2340 2022/12/19 20:25:17 - mmengine - INFO - Epoch(train) [39][15/79] lr: 6.8000e-03 eta: 5:56:42 time: 0.2204 data_time: 0.0007 memory: 1833 loss: 2.4670 loss_prob: 1.5847 loss_thr: 0.6423 loss_db: 0.2400 2022/12/19 20:25:18 - mmengine - INFO - Epoch(train) [39][20/79] lr: 6.8000e-03 eta: 5:56:36 time: 0.2071 data_time: 0.0007 memory: 1833 loss: 2.2031 loss_prob: 1.3285 loss_thr: 0.6497 loss_db: 0.2250 2022/12/19 20:25:19 - mmengine - INFO - Epoch(train) [39][25/79] lr: 6.8000e-03 eta: 5:56:33 time: 0.2092 data_time: 0.0007 memory: 1833 loss: 2.2445 loss_prob: 1.3595 loss_thr: 0.6461 loss_db: 0.2389 2022/12/19 20:25:20 - mmengine - INFO - Epoch(train) [39][30/79] lr: 6.8000e-03 eta: 5:56:31 time: 0.2248 data_time: 0.0007 memory: 1833 loss: 2.0954 loss_prob: 1.2559 loss_thr: 0.6196 loss_db: 0.2199 2022/12/19 20:25:21 - mmengine - INFO - Epoch(train) [39][35/79] lr: 6.8000e-03 eta: 5:56:28 time: 0.2239 data_time: 0.0007 memory: 1833 loss: 1.9629 loss_prob: 1.1613 loss_thr: 0.6039 loss_db: 0.1978 2022/12/19 20:25:22 - mmengine - INFO - Epoch(train) [39][40/79] lr: 6.8000e-03 eta: 5:56:22 time: 0.2131 data_time: 0.0008 memory: 1833 loss: 2.2082 loss_prob: 1.3513 loss_thr: 0.6305 loss_db: 0.2264 2022/12/19 20:25:23 - mmengine - INFO - Epoch(train) [39][45/79] lr: 6.8000e-03 eta: 5:56:23 time: 0.2264 data_time: 0.0007 memory: 1833 loss: 2.3560 loss_prob: 1.4560 loss_thr: 0.6579 loss_db: 0.2421 2022/12/19 20:25:25 - mmengine - INFO - Epoch(train) [39][50/79] lr: 6.8000e-03 eta: 5:56:20 time: 0.2339 data_time: 0.0006 memory: 1833 loss: 2.1041 loss_prob: 1.2617 loss_thr: 0.6334 loss_db: 0.2090 2022/12/19 20:25:26 - mmengine - INFO - Epoch(train) [39][55/79] lr: 6.8000e-03 eta: 5:56:13 time: 0.2052 data_time: 0.0006 memory: 1833 loss: 2.0147 loss_prob: 1.1897 loss_thr: 0.6258 loss_db: 0.1991 2022/12/19 20:25:27 - mmengine - INFO - Epoch(train) [39][60/79] lr: 6.8000e-03 eta: 5:56:08 time: 0.2007 data_time: 0.0006 memory: 1833 loss: 1.9161 loss_prob: 1.1233 loss_thr: 0.6040 loss_db: 0.1888 2022/12/19 20:25:28 - mmengine - INFO - Epoch(train) [39][65/79] lr: 6.8000e-03 eta: 5:56:06 time: 0.2180 data_time: 0.0005 memory: 1833 loss: 1.9434 loss_prob: 1.1468 loss_thr: 0.6047 loss_db: 0.1919 2022/12/19 20:25:29 - mmengine - INFO - Epoch(train) [39][70/79] lr: 6.8000e-03 eta: 5:56:09 time: 0.2435 data_time: 0.0006 memory: 1833 loss: 2.0789 loss_prob: 1.2363 loss_thr: 0.6323 loss_db: 0.2103 2022/12/19 20:25:30 - mmengine - INFO - Epoch(train) [39][75/79] lr: 6.8000e-03 eta: 5:56:05 time: 0.2390 data_time: 0.0007 memory: 1833 loss: 2.1347 loss_prob: 1.2729 loss_thr: 0.6447 loss_db: 0.2171 2022/12/19 20:25:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:25:33 - mmengine - INFO - Epoch(train) [40][5/79] lr: 6.7947e-03 eta: 5:56:25 time: 0.3087 data_time: 0.0574 memory: 1833 loss: 2.1195 loss_prob: 1.2628 loss_thr: 0.6412 loss_db: 0.2154 2022/12/19 20:25:34 - mmengine - INFO - Epoch(train) [40][10/79] lr: 6.7947e-03 eta: 5:56:19 time: 0.3012 data_time: 0.0575 memory: 1833 loss: 2.0575 loss_prob: 1.2163 loss_thr: 0.6346 loss_db: 0.2066 2022/12/19 20:25:35 - mmengine - INFO - Epoch(train) [40][15/79] lr: 6.7947e-03 eta: 5:56:21 time: 0.2279 data_time: 0.0007 memory: 1833 loss: 2.2317 loss_prob: 1.3469 loss_thr: 0.6568 loss_db: 0.2280 2022/12/19 20:25:36 - mmengine - INFO - Epoch(train) [40][20/79] lr: 6.7947e-03 eta: 5:56:20 time: 0.2459 data_time: 0.0007 memory: 1833 loss: 1.9818 loss_prob: 1.1693 loss_thr: 0.6148 loss_db: 0.1978 2022/12/19 20:25:38 - mmengine - INFO - Epoch(train) [40][25/79] lr: 6.7947e-03 eta: 5:56:17 time: 0.2269 data_time: 0.0007 memory: 1833 loss: 1.9768 loss_prob: 1.1507 loss_thr: 0.6285 loss_db: 0.1977 2022/12/19 20:25:39 - mmengine - INFO - Epoch(train) [40][30/79] lr: 6.7947e-03 eta: 5:56:13 time: 0.2163 data_time: 0.0007 memory: 1833 loss: 2.1178 loss_prob: 1.2495 loss_thr: 0.6531 loss_db: 0.2152 2022/12/19 20:25:40 - mmengine - INFO - Epoch(train) [40][35/79] lr: 6.7947e-03 eta: 5:56:10 time: 0.2162 data_time: 0.0007 memory: 1833 loss: 2.0037 loss_prob: 1.1724 loss_thr: 0.6282 loss_db: 0.2031 2022/12/19 20:25:41 - mmengine - INFO - Epoch(train) [40][40/79] lr: 6.7947e-03 eta: 5:56:13 time: 0.2422 data_time: 0.0007 memory: 1833 loss: 2.1849 loss_prob: 1.3003 loss_thr: 0.6593 loss_db: 0.2252 2022/12/19 20:25:42 - mmengine - INFO - Epoch(train) [40][45/79] lr: 6.7947e-03 eta: 5:56:08 time: 0.2336 data_time: 0.0007 memory: 1833 loss: 2.1107 loss_prob: 1.2552 loss_thr: 0.6405 loss_db: 0.2150 2022/12/19 20:25:43 - mmengine - INFO - Epoch(train) [40][50/79] lr: 6.7947e-03 eta: 5:56:02 time: 0.2026 data_time: 0.0007 memory: 1833 loss: 1.9946 loss_prob: 1.1865 loss_thr: 0.6076 loss_db: 0.2006 2022/12/19 20:25:44 - mmengine - INFO - Epoch(train) [40][55/79] lr: 6.7947e-03 eta: 5:55:54 time: 0.1926 data_time: 0.0006 memory: 1833 loss: 1.9915 loss_prob: 1.1566 loss_thr: 0.6374 loss_db: 0.1975 2022/12/19 20:25:45 - mmengine - INFO - Epoch(train) [40][60/79] lr: 6.7947e-03 eta: 5:56:00 time: 0.2343 data_time: 0.0007 memory: 1833 loss: 2.0050 loss_prob: 1.1650 loss_thr: 0.6393 loss_db: 0.2007 2022/12/19 20:25:46 - mmengine - INFO - Epoch(train) [40][65/79] lr: 6.7947e-03 eta: 5:55:57 time: 0.2542 data_time: 0.0007 memory: 1833 loss: 2.0988 loss_prob: 1.2685 loss_thr: 0.6155 loss_db: 0.2148 2022/12/19 20:25:47 - mmengine - INFO - Epoch(train) [40][70/79] lr: 6.7947e-03 eta: 5:55:51 time: 0.2122 data_time: 0.0006 memory: 1833 loss: 1.9865 loss_prob: 1.1861 loss_thr: 0.5984 loss_db: 0.2020 2022/12/19 20:25:48 - mmengine - INFO - Epoch(train) [40][75/79] lr: 6.7947e-03 eta: 5:55:45 time: 0.1979 data_time: 0.0006 memory: 1833 loss: 1.8858 loss_prob: 1.1205 loss_thr: 0.5738 loss_db: 0.1915 2022/12/19 20:25:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:25:49 - mmengine - INFO - Epoch(val) [40][5/75] eta: 0:00:01 time: 0.0277 data_time: 0.0127 memory: 1833 2022/12/19 20:25:50 - mmengine - INFO - Epoch(val) [40][10/75] eta: 0:00:01 time: 0.0206 data_time: 0.0028 memory: 425 2022/12/19 20:25:50 - mmengine - INFO - Epoch(val) [40][15/75] eta: 0:00:01 time: 0.0368 data_time: 0.0003 memory: 425 2022/12/19 20:25:50 - mmengine - INFO - Epoch(val) [40][20/75] eta: 0:00:01 time: 0.0367 data_time: 0.0004 memory: 425 2022/12/19 20:25:50 - mmengine - INFO - Epoch(val) [40][25/75] eta: 0:00:01 time: 0.0272 data_time: 0.0108 memory: 390 2022/12/19 20:25:51 - mmengine - INFO - Epoch(val) [40][30/75] eta: 0:00:01 time: 0.0759 data_time: 0.0470 memory: 390 2022/12/19 20:25:51 - mmengine - INFO - Epoch(val) [40][35/75] eta: 0:00:01 time: 0.0773 data_time: 0.0480 memory: 368 2022/12/19 20:25:51 - mmengine - INFO - Epoch(val) [40][40/75] eta: 0:00:01 time: 0.0420 data_time: 0.0239 memory: 390 2022/12/19 20:25:51 - mmengine - INFO - Epoch(val) [40][45/75] eta: 0:00:01 time: 0.0316 data_time: 0.0125 memory: 425 2022/12/19 20:25:51 - mmengine - INFO - Epoch(val) [40][50/75] eta: 0:00:00 time: 0.0181 data_time: 0.0004 memory: 430 2022/12/19 20:25:51 - mmengine - INFO - Epoch(val) [40][55/75] eta: 0:00:00 time: 0.0210 data_time: 0.0027 memory: 407 2022/12/19 20:25:52 - mmengine - INFO - Epoch(val) [40][60/75] eta: 0:00:00 time: 0.0267 data_time: 0.0027 memory: 390 2022/12/19 20:25:52 - mmengine - INFO - Epoch(val) [40][65/75] eta: 0:00:00 time: 0.0258 data_time: 0.0003 memory: 390 2022/12/19 20:25:52 - mmengine - INFO - Epoch(val) [40][70/75] eta: 0:00:00 time: 0.0336 data_time: 0.0003 memory: 425 2022/12/19 20:25:52 - mmengine - INFO - Epoch(val) [40][75/75] eta: 0:00:00 time: 0.0389 data_time: 0.0095 memory: 368 2022/12/19 20:25:52 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 20:25:52 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7183, precision: 0.6494, hmean: 0.6821 2022/12/19 20:25:52 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7183, precision: 0.7393, hmean: 0.7286 2022/12/19 20:25:52 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7079, precision: 0.8103, hmean: 0.7557 2022/12/19 20:25:52 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6551, precision: 0.8647, hmean: 0.7454 2022/12/19 20:25:52 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.4063, precision: 0.9278, hmean: 0.5651 2022/12/19 20:25:52 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0293, precision: 0.9701, hmean: 0.0570 2022/12/19 20:25:52 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/12/19 20:25:52 - mmengine - INFO - Epoch(val) [40][75/75] icdar/precision: 0.8103 icdar/recall: 0.7079 icdar/hmean: 0.7557 2022/12/19 20:25:52 - mmengine - INFO - The previous best checkpoint work_dirs/dbnet_resnet18_fpnc_1200e_totaltext/best_icdar/hmean_epoch_20.pth is removed 2022/12/19 20:25:53 - mmengine - INFO - The best checkpoint with 0.7557 icdar/hmean at 40 epoch is saved to best_icdar/hmean_epoch_40.pth. 2022/12/19 20:25:54 - mmengine - INFO - Epoch(train) [41][5/79] lr: 6.7895e-03 eta: 5:55:54 time: 0.2693 data_time: 0.0299 memory: 1833 loss: 2.0333 loss_prob: 1.2256 loss_thr: 0.6059 loss_db: 0.2017 2022/12/19 20:25:55 - mmengine - INFO - Epoch(train) [41][10/79] lr: 6.7895e-03 eta: 5:55:48 time: 0.2616 data_time: 0.0300 memory: 1833 loss: 2.1840 loss_prob: 1.3109 loss_thr: 0.6558 loss_db: 0.2173 2022/12/19 20:25:56 - mmengine - INFO - Epoch(train) [41][15/79] lr: 6.7895e-03 eta: 5:55:42 time: 0.1976 data_time: 0.0007 memory: 1833 loss: 2.2393 loss_prob: 1.3366 loss_thr: 0.6771 loss_db: 0.2255 2022/12/19 20:25:58 - mmengine - INFO - Epoch(train) [41][20/79] lr: 6.7895e-03 eta: 5:55:42 time: 0.2204 data_time: 0.0007 memory: 1833 loss: 2.2855 loss_prob: 1.3826 loss_thr: 0.6730 loss_db: 0.2299 2022/12/19 20:25:59 - mmengine - INFO - Epoch(train) [41][25/79] lr: 6.7895e-03 eta: 5:55:39 time: 0.2305 data_time: 0.0007 memory: 1833 loss: 2.0740 loss_prob: 1.2433 loss_thr: 0.6212 loss_db: 0.2094 2022/12/19 20:26:00 - mmengine - INFO - Epoch(train) [41][30/79] lr: 6.7895e-03 eta: 5:55:37 time: 0.2222 data_time: 0.0007 memory: 1833 loss: 1.9662 loss_prob: 1.1543 loss_thr: 0.6147 loss_db: 0.1972 2022/12/19 20:26:01 - mmengine - INFO - Epoch(train) [41][35/79] lr: 6.7895e-03 eta: 5:55:41 time: 0.2494 data_time: 0.0008 memory: 1833 loss: 2.0542 loss_prob: 1.2066 loss_thr: 0.6419 loss_db: 0.2056 2022/12/19 20:26:02 - mmengine - INFO - Epoch(train) [41][40/79] lr: 6.7895e-03 eta: 5:55:36 time: 0.2403 data_time: 0.0009 memory: 1833 loss: 2.1513 loss_prob: 1.2852 loss_thr: 0.6475 loss_db: 0.2186 2022/12/19 20:26:03 - mmengine - INFO - Epoch(train) [41][45/79] lr: 6.7895e-03 eta: 5:55:31 time: 0.2065 data_time: 0.0007 memory: 1833 loss: 2.0632 loss_prob: 1.2385 loss_thr: 0.6143 loss_db: 0.2104 2022/12/19 20:26:04 - mmengine - INFO - Epoch(train) [41][50/79] lr: 6.7895e-03 eta: 5:55:29 time: 0.2143 data_time: 0.0007 memory: 1833 loss: 1.9869 loss_prob: 1.1818 loss_thr: 0.6017 loss_db: 0.2034 2022/12/19 20:26:06 - mmengine - INFO - Epoch(train) [41][55/79] lr: 6.7895e-03 eta: 5:55:28 time: 0.2303 data_time: 0.0006 memory: 1833 loss: 2.0226 loss_prob: 1.2047 loss_thr: 0.6108 loss_db: 0.2071 2022/12/19 20:26:07 - mmengine - INFO - Epoch(train) [41][60/79] lr: 6.7895e-03 eta: 5:55:22 time: 0.2161 data_time: 0.0006 memory: 1833 loss: 2.1605 loss_prob: 1.3064 loss_thr: 0.6336 loss_db: 0.2205 2022/12/19 20:26:08 - mmengine - INFO - Epoch(train) [41][65/79] lr: 6.7895e-03 eta: 5:55:20 time: 0.2124 data_time: 0.0006 memory: 1833 loss: 2.1070 loss_prob: 1.2679 loss_thr: 0.6263 loss_db: 0.2128 2022/12/19 20:26:09 - mmengine - INFO - Epoch(train) [41][70/79] lr: 6.7895e-03 eta: 5:55:14 time: 0.2156 data_time: 0.0006 memory: 1833 loss: 1.9459 loss_prob: 1.1489 loss_thr: 0.6021 loss_db: 0.1949 2022/12/19 20:26:10 - mmengine - INFO - Epoch(train) [41][75/79] lr: 6.7895e-03 eta: 5:55:06 time: 0.1915 data_time: 0.0006 memory: 1833 loss: 1.9703 loss_prob: 1.1686 loss_thr: 0.6038 loss_db: 0.1979 2022/12/19 20:26:10 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:26:13 - mmengine - INFO - Epoch(train) [42][5/79] lr: 6.7842e-03 eta: 5:55:38 time: 0.3475 data_time: 0.0259 memory: 1833 loss: 2.1380 loss_prob: 1.2844 loss_thr: 0.6349 loss_db: 0.2187 2022/12/19 20:26:14 - mmengine - INFO - Epoch(train) [42][10/79] lr: 6.7842e-03 eta: 5:55:36 time: 0.3569 data_time: 0.0260 memory: 1833 loss: 2.0117 loss_prob: 1.1778 loss_thr: 0.6325 loss_db: 0.2013 2022/12/19 20:26:15 - mmengine - INFO - Epoch(train) [42][15/79] lr: 6.7842e-03 eta: 5:55:34 time: 0.2270 data_time: 0.0007 memory: 1833 loss: 2.0543 loss_prob: 1.2120 loss_thr: 0.6363 loss_db: 0.2060 2022/12/19 20:26:16 - mmengine - INFO - Epoch(train) [42][20/79] lr: 6.7842e-03 eta: 5:55:35 time: 0.2393 data_time: 0.0007 memory: 1833 loss: 2.0391 loss_prob: 1.2068 loss_thr: 0.6258 loss_db: 0.2065 2022/12/19 20:26:18 - mmengine - INFO - Epoch(train) [42][25/79] lr: 6.7842e-03 eta: 5:55:34 time: 0.2438 data_time: 0.0009 memory: 1833 loss: 2.1679 loss_prob: 1.2965 loss_thr: 0.6487 loss_db: 0.2227 2022/12/19 20:26:19 - mmengine - INFO - Epoch(train) [42][30/79] lr: 6.7842e-03 eta: 5:55:28 time: 0.2177 data_time: 0.0010 memory: 1833 loss: 2.6377 loss_prob: 1.6882 loss_thr: 0.6803 loss_db: 0.2692 2022/12/19 20:26:20 - mmengine - INFO - Epoch(train) [42][35/79] lr: 6.7842e-03 eta: 5:55:22 time: 0.1988 data_time: 0.0008 memory: 1833 loss: 2.4995 loss_prob: 1.6062 loss_thr: 0.6416 loss_db: 0.2517 2022/12/19 20:26:21 - mmengine - INFO - Epoch(train) [42][40/79] lr: 6.7842e-03 eta: 5:55:21 time: 0.2136 data_time: 0.0008 memory: 1833 loss: 2.4366 loss_prob: 1.5231 loss_thr: 0.6696 loss_db: 0.2438 2022/12/19 20:26:22 - mmengine - INFO - Epoch(train) [42][45/79] lr: 6.7842e-03 eta: 5:55:16 time: 0.2202 data_time: 0.0008 memory: 1833 loss: 2.4530 loss_prob: 1.5380 loss_thr: 0.6640 loss_db: 0.2509 2022/12/19 20:26:23 - mmengine - INFO - Epoch(train) [42][50/79] lr: 6.7842e-03 eta: 5:55:15 time: 0.2207 data_time: 0.0007 memory: 1833 loss: 2.0891 loss_prob: 1.2703 loss_thr: 0.6046 loss_db: 0.2142 2022/12/19 20:26:24 - mmengine - INFO - Epoch(train) [42][55/79] lr: 6.7842e-03 eta: 5:55:10 time: 0.2182 data_time: 0.0007 memory: 1833 loss: 1.9850 loss_prob: 1.1790 loss_thr: 0.6062 loss_db: 0.1998 2022/12/19 20:26:25 - mmengine - INFO - Epoch(train) [42][60/79] lr: 6.7842e-03 eta: 5:55:09 time: 0.2195 data_time: 0.0006 memory: 1833 loss: 1.9076 loss_prob: 1.1282 loss_thr: 0.5865 loss_db: 0.1930 2022/12/19 20:26:26 - mmengine - INFO - Epoch(train) [42][65/79] lr: 6.7842e-03 eta: 5:55:04 time: 0.2204 data_time: 0.0007 memory: 1833 loss: 2.1036 loss_prob: 1.2805 loss_thr: 0.6049 loss_db: 0.2182 2022/12/19 20:26:27 - mmengine - INFO - Epoch(train) [42][70/79] lr: 6.7842e-03 eta: 5:55:05 time: 0.2268 data_time: 0.0006 memory: 1833 loss: 2.1959 loss_prob: 1.3453 loss_thr: 0.6234 loss_db: 0.2273 2022/12/19 20:26:28 - mmengine - INFO - Epoch(train) [42][75/79] lr: 6.7842e-03 eta: 5:54:59 time: 0.2228 data_time: 0.0006 memory: 1833 loss: 2.2791 loss_prob: 1.4023 loss_thr: 0.6422 loss_db: 0.2346 2022/12/19 20:26:29 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:26:32 - mmengine - INFO - Epoch(train) [43][5/79] lr: 6.7789e-03 eta: 5:55:38 time: 0.3771 data_time: 0.0226 memory: 1833 loss: 2.0974 loss_prob: 1.2748 loss_thr: 0.6083 loss_db: 0.2143 2022/12/19 20:26:33 - mmengine - INFO - Epoch(train) [43][10/79] lr: 6.7789e-03 eta: 5:55:45 time: 0.4262 data_time: 0.0230 memory: 1833 loss: 1.9369 loss_prob: 1.1630 loss_thr: 0.5775 loss_db: 0.1963 2022/12/19 20:26:34 - mmengine - INFO - Epoch(train) [43][15/79] lr: 6.7789e-03 eta: 5:55:41 time: 0.2499 data_time: 0.0010 memory: 1833 loss: 2.1241 loss_prob: 1.2893 loss_thr: 0.6171 loss_db: 0.2176 2022/12/19 20:26:36 - mmengine - INFO - Epoch(train) [43][20/79] lr: 6.7789e-03 eta: 5:55:41 time: 0.2258 data_time: 0.0008 memory: 1833 loss: 2.3520 loss_prob: 1.4373 loss_thr: 0.6738 loss_db: 0.2409 2022/12/19 20:26:37 - mmengine - INFO - Epoch(train) [43][25/79] lr: 6.7789e-03 eta: 5:55:40 time: 0.2411 data_time: 0.0008 memory: 1833 loss: 2.2221 loss_prob: 1.3414 loss_thr: 0.6573 loss_db: 0.2235 2022/12/19 20:26:38 - mmengine - INFO - Epoch(train) [43][30/79] lr: 6.7789e-03 eta: 5:55:38 time: 0.2325 data_time: 0.0008 memory: 1833 loss: 2.0707 loss_prob: 1.2349 loss_thr: 0.6278 loss_db: 0.2080 2022/12/19 20:26:39 - mmengine - INFO - Epoch(train) [43][35/79] lr: 6.7789e-03 eta: 5:55:35 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 2.3005 loss_prob: 1.4005 loss_thr: 0.6587 loss_db: 0.2414 2022/12/19 20:26:40 - mmengine - INFO - Epoch(train) [43][40/79] lr: 6.7789e-03 eta: 5:55:28 time: 0.2040 data_time: 0.0008 memory: 1833 loss: 2.1875 loss_prob: 1.3209 loss_thr: 0.6427 loss_db: 0.2240 2022/12/19 20:26:41 - mmengine - INFO - Epoch(train) [43][45/79] lr: 6.7789e-03 eta: 5:55:26 time: 0.2086 data_time: 0.0008 memory: 1833 loss: 2.0660 loss_prob: 1.2356 loss_thr: 0.6227 loss_db: 0.2076 2022/12/19 20:26:42 - mmengine - INFO - Epoch(train) [43][50/79] lr: 6.7789e-03 eta: 5:55:21 time: 0.2152 data_time: 0.0008 memory: 1833 loss: 2.1362 loss_prob: 1.2855 loss_thr: 0.6316 loss_db: 0.2192 2022/12/19 20:26:43 - mmengine - INFO - Epoch(train) [43][55/79] lr: 6.7789e-03 eta: 5:55:17 time: 0.2116 data_time: 0.0007 memory: 1833 loss: 2.0128 loss_prob: 1.1938 loss_thr: 0.6139 loss_db: 0.2050 2022/12/19 20:26:44 - mmengine - INFO - Epoch(train) [43][60/79] lr: 6.7789e-03 eta: 5:55:12 time: 0.2090 data_time: 0.0006 memory: 1833 loss: 1.9245 loss_prob: 1.1421 loss_thr: 0.5904 loss_db: 0.1920 2022/12/19 20:26:45 - mmengine - INFO - Epoch(train) [43][65/79] lr: 6.7789e-03 eta: 5:55:08 time: 0.2060 data_time: 0.0007 memory: 1833 loss: 2.0490 loss_prob: 1.2340 loss_thr: 0.6096 loss_db: 0.2055 2022/12/19 20:26:47 - mmengine - INFO - Epoch(train) [43][70/79] lr: 6.7789e-03 eta: 5:55:09 time: 0.2304 data_time: 0.0007 memory: 1833 loss: 2.0365 loss_prob: 1.2230 loss_thr: 0.6079 loss_db: 0.2055 2022/12/19 20:26:48 - mmengine - INFO - Epoch(train) [43][75/79] lr: 6.7789e-03 eta: 5:55:04 time: 0.2260 data_time: 0.0006 memory: 1833 loss: 1.8327 loss_prob: 1.0674 loss_thr: 0.5846 loss_db: 0.1808 2022/12/19 20:26:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:26:52 - mmengine - INFO - Epoch(train) [44][5/79] lr: 6.7737e-03 eta: 5:55:49 time: 0.4040 data_time: 0.0828 memory: 1833 loss: 1.7641 loss_prob: 1.0218 loss_thr: 0.5667 loss_db: 0.1756 2022/12/19 20:26:53 - mmengine - INFO - Epoch(train) [44][10/79] lr: 6.7737e-03 eta: 5:55:44 time: 0.4135 data_time: 0.0829 memory: 1833 loss: 1.7068 loss_prob: 0.9873 loss_thr: 0.5492 loss_db: 0.1703 2022/12/19 20:26:54 - mmengine - INFO - Epoch(train) [44][15/79] lr: 6.7737e-03 eta: 5:55:40 time: 0.2087 data_time: 0.0008 memory: 1833 loss: 1.8978 loss_prob: 1.1133 loss_thr: 0.5944 loss_db: 0.1901 2022/12/19 20:26:55 - mmengine - INFO - Epoch(train) [44][20/79] lr: 6.7737e-03 eta: 5:55:39 time: 0.2261 data_time: 0.0008 memory: 1833 loss: 1.9825 loss_prob: 1.1725 loss_thr: 0.6073 loss_db: 0.2026 2022/12/19 20:26:56 - mmengine - INFO - Epoch(train) [44][25/79] lr: 6.7737e-03 eta: 5:55:38 time: 0.2319 data_time: 0.0008 memory: 1833 loss: 1.8919 loss_prob: 1.1164 loss_thr: 0.5839 loss_db: 0.1915 2022/12/19 20:26:57 - mmengine - INFO - Epoch(train) [44][30/79] lr: 6.7737e-03 eta: 5:55:33 time: 0.2200 data_time: 0.0008 memory: 1833 loss: 1.8964 loss_prob: 1.1087 loss_thr: 0.5987 loss_db: 0.1890 2022/12/19 20:26:58 - mmengine - INFO - Epoch(train) [44][35/79] lr: 6.7737e-03 eta: 5:55:31 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 2.0139 loss_prob: 1.1858 loss_thr: 0.6282 loss_db: 0.2000 2022/12/19 20:26:59 - mmengine - INFO - Epoch(train) [44][40/79] lr: 6.7737e-03 eta: 5:55:26 time: 0.2163 data_time: 0.0007 memory: 1833 loss: 2.1929 loss_prob: 1.3262 loss_thr: 0.6443 loss_db: 0.2224 2022/12/19 20:27:00 - mmengine - INFO - Epoch(train) [44][45/79] lr: 6.7737e-03 eta: 5:55:27 time: 0.2270 data_time: 0.0007 memory: 1833 loss: 2.2386 loss_prob: 1.3549 loss_thr: 0.6552 loss_db: 0.2285 2022/12/19 20:27:01 - mmengine - INFO - Epoch(train) [44][50/79] lr: 6.7737e-03 eta: 5:55:24 time: 0.2324 data_time: 0.0007 memory: 1833 loss: 2.1249 loss_prob: 1.2595 loss_thr: 0.6505 loss_db: 0.2149 2022/12/19 20:27:02 - mmengine - INFO - Epoch(train) [44][55/79] lr: 6.7737e-03 eta: 5:55:18 time: 0.2077 data_time: 0.0006 memory: 1833 loss: 2.2893 loss_prob: 1.3856 loss_thr: 0.6708 loss_db: 0.2328 2022/12/19 20:27:03 - mmengine - INFO - Epoch(train) [44][60/79] lr: 6.7737e-03 eta: 5:55:12 time: 0.1956 data_time: 0.0006 memory: 1833 loss: 2.2046 loss_prob: 1.3375 loss_thr: 0.6464 loss_db: 0.2207 2022/12/19 20:27:04 - mmengine - INFO - Epoch(train) [44][65/79] lr: 6.7737e-03 eta: 5:55:05 time: 0.1931 data_time: 0.0006 memory: 1833 loss: 2.0491 loss_prob: 1.2381 loss_thr: 0.6021 loss_db: 0.2089 2022/12/19 20:27:06 - mmengine - INFO - Epoch(train) [44][70/79] lr: 6.7737e-03 eta: 5:55:08 time: 0.2284 data_time: 0.0007 memory: 1833 loss: 2.0485 loss_prob: 1.2318 loss_thr: 0.6082 loss_db: 0.2086 2022/12/19 20:27:07 - mmengine - INFO - Epoch(train) [44][75/79] lr: 6.7737e-03 eta: 5:55:04 time: 0.2384 data_time: 0.0007 memory: 1833 loss: 1.8854 loss_prob: 1.0998 loss_thr: 0.5994 loss_db: 0.1863 2022/12/19 20:27:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:27:09 - mmengine - INFO - Epoch(train) [45][5/79] lr: 6.7684e-03 eta: 5:55:15 time: 0.2825 data_time: 0.0424 memory: 1833 loss: 1.9419 loss_prob: 1.1425 loss_thr: 0.6003 loss_db: 0.1991 2022/12/19 20:27:10 - mmengine - INFO - Epoch(train) [45][10/79] lr: 6.7684e-03 eta: 5:55:12 time: 0.2913 data_time: 0.0425 memory: 1833 loss: 2.0065 loss_prob: 1.1718 loss_thr: 0.6344 loss_db: 0.2004 2022/12/19 20:27:11 - mmengine - INFO - Epoch(train) [45][15/79] lr: 6.7684e-03 eta: 5:55:07 time: 0.2110 data_time: 0.0008 memory: 1833 loss: 2.0516 loss_prob: 1.2119 loss_thr: 0.6351 loss_db: 0.2047 2022/12/19 20:27:13 - mmengine - INFO - Epoch(train) [45][20/79] lr: 6.7684e-03 eta: 5:55:02 time: 0.2076 data_time: 0.0007 memory: 1833 loss: 1.9705 loss_prob: 1.1745 loss_thr: 0.5981 loss_db: 0.1980 2022/12/19 20:27:14 - mmengine - INFO - Epoch(train) [45][25/79] lr: 6.7684e-03 eta: 5:55:01 time: 0.2185 data_time: 0.0007 memory: 1833 loss: 1.9985 loss_prob: 1.1912 loss_thr: 0.6089 loss_db: 0.1984 2022/12/19 20:27:15 - mmengine - INFO - Epoch(train) [45][30/79] lr: 6.7684e-03 eta: 5:55:01 time: 0.2384 data_time: 0.0008 memory: 1833 loss: 1.9698 loss_prob: 1.1675 loss_thr: 0.6053 loss_db: 0.1971 2022/12/19 20:27:16 - mmengine - INFO - Epoch(train) [45][35/79] lr: 6.7684e-03 eta: 5:55:00 time: 0.2390 data_time: 0.0007 memory: 1833 loss: 2.0638 loss_prob: 1.2198 loss_thr: 0.6341 loss_db: 0.2099 2022/12/19 20:27:17 - mmengine - INFO - Epoch(train) [45][40/79] lr: 6.7684e-03 eta: 5:54:55 time: 0.2185 data_time: 0.0007 memory: 1833 loss: 2.1146 loss_prob: 1.2660 loss_thr: 0.6340 loss_db: 0.2146 2022/12/19 20:27:18 - mmengine - INFO - Epoch(train) [45][45/79] lr: 6.7684e-03 eta: 5:54:49 time: 0.1998 data_time: 0.0007 memory: 1833 loss: 2.0713 loss_prob: 1.2231 loss_thr: 0.6421 loss_db: 0.2061 2022/12/19 20:27:19 - mmengine - INFO - Epoch(train) [45][50/79] lr: 6.7684e-03 eta: 5:54:45 time: 0.2032 data_time: 0.0007 memory: 1833 loss: 2.0724 loss_prob: 1.2157 loss_thr: 0.6478 loss_db: 0.2089 2022/12/19 20:27:20 - mmengine - INFO - Epoch(train) [45][55/79] lr: 6.7684e-03 eta: 5:54:38 time: 0.2010 data_time: 0.0006 memory: 1833 loss: 1.9149 loss_prob: 1.1285 loss_thr: 0.5909 loss_db: 0.1955 2022/12/19 20:27:21 - mmengine - INFO - Epoch(train) [45][60/79] lr: 6.7684e-03 eta: 5:54:41 time: 0.2256 data_time: 0.0006 memory: 1833 loss: 1.8253 loss_prob: 1.0689 loss_thr: 0.5730 loss_db: 0.1834 2022/12/19 20:27:23 - mmengine - INFO - Epoch(train) [45][65/79] lr: 6.7684e-03 eta: 5:54:40 time: 0.2490 data_time: 0.0008 memory: 1833 loss: 1.9133 loss_prob: 1.1402 loss_thr: 0.5799 loss_db: 0.1931 2022/12/19 20:27:23 - mmengine - INFO - Epoch(train) [45][70/79] lr: 6.7684e-03 eta: 5:54:33 time: 0.2103 data_time: 0.0008 memory: 1833 loss: 1.9642 loss_prob: 1.1684 loss_thr: 0.6011 loss_db: 0.1946 2022/12/19 20:27:25 - mmengine - INFO - Epoch(train) [45][75/79] lr: 6.7684e-03 eta: 5:54:32 time: 0.2134 data_time: 0.0006 memory: 1833 loss: 1.9302 loss_prob: 1.1274 loss_thr: 0.6116 loss_db: 0.1912 2022/12/19 20:27:25 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:27:28 - mmengine - INFO - Epoch(train) [46][5/79] lr: 6.7631e-03 eta: 5:55:04 time: 0.3727 data_time: 0.0465 memory: 1833 loss: 1.8474 loss_prob: 1.0853 loss_thr: 0.5765 loss_db: 0.1856 2022/12/19 20:27:29 - mmengine - INFO - Epoch(train) [46][10/79] lr: 6.7631e-03 eta: 5:55:04 time: 0.3925 data_time: 0.0466 memory: 1833 loss: 1.7790 loss_prob: 1.0359 loss_thr: 0.5706 loss_db: 0.1724 2022/12/19 20:27:30 - mmengine - INFO - Epoch(train) [46][15/79] lr: 6.7631e-03 eta: 5:54:59 time: 0.2222 data_time: 0.0008 memory: 1833 loss: 1.7682 loss_prob: 1.0345 loss_thr: 0.5606 loss_db: 0.1731 2022/12/19 20:27:31 - mmengine - INFO - Epoch(train) [46][20/79] lr: 6.7631e-03 eta: 5:54:54 time: 0.2047 data_time: 0.0008 memory: 1833 loss: 1.8812 loss_prob: 1.1025 loss_thr: 0.5885 loss_db: 0.1902 2022/12/19 20:27:32 - mmengine - INFO - Epoch(train) [46][25/79] lr: 6.7631e-03 eta: 5:54:51 time: 0.2131 data_time: 0.0008 memory: 1833 loss: 1.9702 loss_prob: 1.1621 loss_thr: 0.6083 loss_db: 0.1998 2022/12/19 20:27:34 - mmengine - INFO - Epoch(train) [46][30/79] lr: 6.7631e-03 eta: 5:54:48 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 1.9692 loss_prob: 1.1583 loss_thr: 0.6132 loss_db: 0.1977 2022/12/19 20:27:35 - mmengine - INFO - Epoch(train) [46][35/79] lr: 6.7631e-03 eta: 5:54:49 time: 0.2335 data_time: 0.0008 memory: 1833 loss: 1.9423 loss_prob: 1.1472 loss_thr: 0.5998 loss_db: 0.1953 2022/12/19 20:27:36 - mmengine - INFO - Epoch(train) [46][40/79] lr: 6.7631e-03 eta: 5:54:44 time: 0.2271 data_time: 0.0007 memory: 1833 loss: 1.9357 loss_prob: 1.1494 loss_thr: 0.5946 loss_db: 0.1918 2022/12/19 20:27:37 - mmengine - INFO - Epoch(train) [46][45/79] lr: 6.7631e-03 eta: 5:54:41 time: 0.2107 data_time: 0.0007 memory: 1833 loss: 1.9118 loss_prob: 1.1209 loss_thr: 0.6026 loss_db: 0.1884 2022/12/19 20:27:38 - mmengine - INFO - Epoch(train) [46][50/79] lr: 6.7631e-03 eta: 5:54:48 time: 0.2573 data_time: 0.0008 memory: 1833 loss: 1.9416 loss_prob: 1.1560 loss_thr: 0.5897 loss_db: 0.1959 2022/12/19 20:27:39 - mmengine - INFO - Epoch(train) [46][55/79] lr: 6.7631e-03 eta: 5:54:44 time: 0.2525 data_time: 0.0008 memory: 1833 loss: 2.1407 loss_prob: 1.3012 loss_thr: 0.6191 loss_db: 0.2203 2022/12/19 20:27:41 - mmengine - INFO - Epoch(train) [46][60/79] lr: 6.7631e-03 eta: 5:54:41 time: 0.2171 data_time: 0.0007 memory: 1833 loss: 2.1804 loss_prob: 1.3286 loss_thr: 0.6278 loss_db: 0.2240 2022/12/19 20:27:42 - mmengine - INFO - Epoch(train) [46][65/79] lr: 6.7631e-03 eta: 5:54:40 time: 0.2296 data_time: 0.0007 memory: 1833 loss: 2.1873 loss_prob: 1.3274 loss_thr: 0.6420 loss_db: 0.2180 2022/12/19 20:27:43 - mmengine - INFO - Epoch(train) [46][70/79] lr: 6.7631e-03 eta: 5:54:34 time: 0.2132 data_time: 0.0006 memory: 1833 loss: 2.0584 loss_prob: 1.2258 loss_thr: 0.6268 loss_db: 0.2057 2022/12/19 20:27:44 - mmengine - INFO - Epoch(train) [46][75/79] lr: 6.7631e-03 eta: 5:54:30 time: 0.2035 data_time: 0.0007 memory: 1833 loss: 1.8782 loss_prob: 1.1047 loss_thr: 0.5853 loss_db: 0.1882 2022/12/19 20:27:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:27:47 - mmengine - INFO - Epoch(train) [47][5/79] lr: 6.7578e-03 eta: 5:54:45 time: 0.2968 data_time: 0.0505 memory: 1833 loss: 1.8818 loss_prob: 1.1152 loss_thr: 0.5778 loss_db: 0.1889 2022/12/19 20:27:48 - mmengine - INFO - Epoch(train) [47][10/79] lr: 6.7578e-03 eta: 5:54:41 time: 0.3086 data_time: 0.0506 memory: 1833 loss: 1.9217 loss_prob: 1.1265 loss_thr: 0.6089 loss_db: 0.1863 2022/12/19 20:27:49 - mmengine - INFO - Epoch(train) [47][15/79] lr: 6.7578e-03 eta: 5:54:40 time: 0.2241 data_time: 0.0007 memory: 1833 loss: 1.9932 loss_prob: 1.1747 loss_thr: 0.6206 loss_db: 0.1979 2022/12/19 20:27:50 - mmengine - INFO - Epoch(train) [47][20/79] lr: 6.7578e-03 eta: 5:54:36 time: 0.2246 data_time: 0.0007 memory: 1833 loss: 1.9694 loss_prob: 1.1565 loss_thr: 0.6131 loss_db: 0.1999 2022/12/19 20:27:51 - mmengine - INFO - Epoch(train) [47][25/79] lr: 6.7578e-03 eta: 5:54:33 time: 0.2148 data_time: 0.0007 memory: 1833 loss: 1.9937 loss_prob: 1.1718 loss_thr: 0.6241 loss_db: 0.1977 2022/12/19 20:27:52 - mmengine - INFO - Epoch(train) [47][30/79] lr: 6.7578e-03 eta: 5:54:29 time: 0.2147 data_time: 0.0007 memory: 1833 loss: 2.0370 loss_prob: 1.2084 loss_thr: 0.6229 loss_db: 0.2057 2022/12/19 20:27:53 - mmengine - INFO - Epoch(train) [47][35/79] lr: 6.7578e-03 eta: 5:54:27 time: 0.2196 data_time: 0.0007 memory: 1833 loss: 2.1857 loss_prob: 1.2990 loss_thr: 0.6662 loss_db: 0.2206 2022/12/19 20:27:54 - mmengine - INFO - Epoch(train) [47][40/79] lr: 6.7578e-03 eta: 5:54:23 time: 0.2161 data_time: 0.0008 memory: 1833 loss: 2.2495 loss_prob: 1.3494 loss_thr: 0.6714 loss_db: 0.2287 2022/12/19 20:27:55 - mmengine - INFO - Epoch(train) [47][45/79] lr: 6.7578e-03 eta: 5:54:18 time: 0.2067 data_time: 0.0008 memory: 1833 loss: 2.1109 loss_prob: 1.2623 loss_thr: 0.6357 loss_db: 0.2129 2022/12/19 20:27:56 - mmengine - INFO - Epoch(train) [47][50/79] lr: 6.7578e-03 eta: 5:54:15 time: 0.2126 data_time: 0.0007 memory: 1833 loss: 2.1850 loss_prob: 1.3112 loss_thr: 0.6529 loss_db: 0.2208 2022/12/19 20:27:57 - mmengine - INFO - Epoch(train) [47][55/79] lr: 6.7578e-03 eta: 5:54:12 time: 0.2170 data_time: 0.0006 memory: 1833 loss: 2.3893 loss_prob: 1.4675 loss_thr: 0.6709 loss_db: 0.2509 2022/12/19 20:27:58 - mmengine - INFO - Epoch(train) [47][60/79] lr: 6.7578e-03 eta: 5:54:08 time: 0.2150 data_time: 0.0006 memory: 1833 loss: 2.2799 loss_prob: 1.4051 loss_thr: 0.6412 loss_db: 0.2335 2022/12/19 20:27:59 - mmengine - INFO - Epoch(train) [47][65/79] lr: 6.7578e-03 eta: 5:54:02 time: 0.2031 data_time: 0.0006 memory: 1833 loss: 1.9251 loss_prob: 1.1488 loss_thr: 0.5876 loss_db: 0.1886 2022/12/19 20:28:00 - mmengine - INFO - Epoch(train) [47][70/79] lr: 6.7578e-03 eta: 5:53:54 time: 0.1843 data_time: 0.0006 memory: 1833 loss: 1.9136 loss_prob: 1.1325 loss_thr: 0.5914 loss_db: 0.1897 2022/12/19 20:28:01 - mmengine - INFO - Epoch(train) [47][75/79] lr: 6.7578e-03 eta: 5:53:46 time: 0.1763 data_time: 0.0006 memory: 1833 loss: 2.0664 loss_prob: 1.2508 loss_thr: 0.6078 loss_db: 0.2077 2022/12/19 20:28:02 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:28:04 - mmengine - INFO - Epoch(train) [48][5/79] lr: 6.7526e-03 eta: 5:53:54 time: 0.2688 data_time: 0.0179 memory: 1833 loss: 2.0990 loss_prob: 1.2687 loss_thr: 0.6177 loss_db: 0.2126 2022/12/19 20:28:05 - mmengine - INFO - Epoch(train) [48][10/79] lr: 6.7526e-03 eta: 5:53:52 time: 0.2950 data_time: 0.0180 memory: 1833 loss: 1.9692 loss_prob: 1.1701 loss_thr: 0.6006 loss_db: 0.1985 2022/12/19 20:28:06 - mmengine - INFO - Epoch(train) [48][15/79] lr: 6.7526e-03 eta: 5:53:52 time: 0.2347 data_time: 0.0008 memory: 1833 loss: 1.8752 loss_prob: 1.0860 loss_thr: 0.6046 loss_db: 0.1847 2022/12/19 20:28:07 - mmengine - INFO - Epoch(train) [48][20/79] lr: 6.7526e-03 eta: 5:53:51 time: 0.2355 data_time: 0.0008 memory: 1833 loss: 1.8440 loss_prob: 1.0722 loss_thr: 0.5872 loss_db: 0.1845 2022/12/19 20:28:08 - mmengine - INFO - Epoch(train) [48][25/79] lr: 6.7526e-03 eta: 5:53:46 time: 0.2155 data_time: 0.0007 memory: 1833 loss: 1.8645 loss_prob: 1.0949 loss_thr: 0.5779 loss_db: 0.1917 2022/12/19 20:28:09 - mmengine - INFO - Epoch(train) [48][30/79] lr: 6.7526e-03 eta: 5:53:48 time: 0.2314 data_time: 0.0007 memory: 1833 loss: 1.9711 loss_prob: 1.1602 loss_thr: 0.6136 loss_db: 0.1973 2022/12/19 20:28:11 - mmengine - INFO - Epoch(train) [48][35/79] lr: 6.7526e-03 eta: 5:53:48 time: 0.2508 data_time: 0.0007 memory: 1833 loss: 2.0419 loss_prob: 1.1917 loss_thr: 0.6485 loss_db: 0.2016 2022/12/19 20:28:12 - mmengine - INFO - Epoch(train) [48][40/79] lr: 6.7526e-03 eta: 5:53:46 time: 0.2356 data_time: 0.0007 memory: 1833 loss: 2.0124 loss_prob: 1.1821 loss_thr: 0.6298 loss_db: 0.2005 2022/12/19 20:28:13 - mmengine - INFO - Epoch(train) [48][45/79] lr: 6.7526e-03 eta: 5:53:38 time: 0.2042 data_time: 0.0007 memory: 1833 loss: 1.8945 loss_prob: 1.1156 loss_thr: 0.5895 loss_db: 0.1895 2022/12/19 20:28:14 - mmengine - INFO - Epoch(train) [48][50/79] lr: 6.7526e-03 eta: 5:53:33 time: 0.1865 data_time: 0.0007 memory: 1833 loss: 2.0000 loss_prob: 1.1890 loss_thr: 0.6092 loss_db: 0.2018 2022/12/19 20:28:15 - mmengine - INFO - Epoch(train) [48][55/79] lr: 6.7526e-03 eta: 5:53:28 time: 0.1998 data_time: 0.0007 memory: 1833 loss: 1.9069 loss_prob: 1.1275 loss_thr: 0.5874 loss_db: 0.1920 2022/12/19 20:28:16 - mmengine - INFO - Epoch(train) [48][60/79] lr: 6.7526e-03 eta: 5:53:24 time: 0.2063 data_time: 0.0006 memory: 1833 loss: 1.8588 loss_prob: 1.0783 loss_thr: 0.5937 loss_db: 0.1867 2022/12/19 20:28:17 - mmengine - INFO - Epoch(train) [48][65/79] lr: 6.7526e-03 eta: 5:53:21 time: 0.2132 data_time: 0.0006 memory: 1833 loss: 1.9099 loss_prob: 1.1087 loss_thr: 0.6113 loss_db: 0.1899 2022/12/19 20:28:18 - mmengine - INFO - Epoch(train) [48][70/79] lr: 6.7526e-03 eta: 5:53:19 time: 0.2227 data_time: 0.0006 memory: 1833 loss: 1.8403 loss_prob: 1.0665 loss_thr: 0.5940 loss_db: 0.1799 2022/12/19 20:28:19 - mmengine - INFO - Epoch(train) [48][75/79] lr: 6.7526e-03 eta: 5:53:15 time: 0.2190 data_time: 0.0006 memory: 1833 loss: 1.9778 loss_prob: 1.1628 loss_thr: 0.6210 loss_db: 0.1940 2022/12/19 20:28:20 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:28:22 - mmengine - INFO - Epoch(train) [49][5/79] lr: 6.7473e-03 eta: 5:53:35 time: 0.3287 data_time: 0.0724 memory: 1833 loss: 1.8648 loss_prob: 1.0843 loss_thr: 0.5971 loss_db: 0.1834 2022/12/19 20:28:23 - mmengine - INFO - Epoch(train) [49][10/79] lr: 6.7473e-03 eta: 5:53:36 time: 0.3451 data_time: 0.0729 memory: 1833 loss: 1.8117 loss_prob: 1.0595 loss_thr: 0.5691 loss_db: 0.1831 2022/12/19 20:28:24 - mmengine - INFO - Epoch(train) [49][15/79] lr: 6.7473e-03 eta: 5:53:32 time: 0.2290 data_time: 0.0012 memory: 1833 loss: 1.9217 loss_prob: 1.1427 loss_thr: 0.5810 loss_db: 0.1980 2022/12/19 20:28:26 - mmengine - INFO - Epoch(train) [49][20/79] lr: 6.7473e-03 eta: 5:53:32 time: 0.2256 data_time: 0.0007 memory: 1833 loss: 2.1188 loss_prob: 1.2800 loss_thr: 0.6204 loss_db: 0.2185 2022/12/19 20:28:27 - mmengine - INFO - Epoch(train) [49][25/79] lr: 6.7473e-03 eta: 5:53:29 time: 0.2284 data_time: 0.0007 memory: 1833 loss: 1.9771 loss_prob: 1.1750 loss_thr: 0.6000 loss_db: 0.2021 2022/12/19 20:28:28 - mmengine - INFO - Epoch(train) [49][30/79] lr: 6.7473e-03 eta: 5:53:28 time: 0.2239 data_time: 0.0007 memory: 1833 loss: 1.8112 loss_prob: 1.0351 loss_thr: 0.5971 loss_db: 0.1791 2022/12/19 20:28:29 - mmengine - INFO - Epoch(train) [49][35/79] lr: 6.7473e-03 eta: 5:53:28 time: 0.2401 data_time: 0.0007 memory: 1833 loss: 1.8370 loss_prob: 1.0563 loss_thr: 0.6031 loss_db: 0.1777 2022/12/19 20:28:30 - mmengine - INFO - Epoch(train) [49][40/79] lr: 6.7473e-03 eta: 5:53:31 time: 0.2554 data_time: 0.0007 memory: 1833 loss: 1.9889 loss_prob: 1.1687 loss_thr: 0.6230 loss_db: 0.1972 2022/12/19 20:28:32 - mmengine - INFO - Epoch(train) [49][45/79] lr: 6.7473e-03 eta: 5:53:30 time: 0.2491 data_time: 0.0007 memory: 1833 loss: 1.9976 loss_prob: 1.1635 loss_thr: 0.6361 loss_db: 0.1980 2022/12/19 20:28:33 - mmengine - INFO - Epoch(train) [49][50/79] lr: 6.7473e-03 eta: 5:53:26 time: 0.2230 data_time: 0.0007 memory: 1833 loss: 1.9093 loss_prob: 1.0989 loss_thr: 0.6223 loss_db: 0.1881 2022/12/19 20:28:34 - mmengine - INFO - Epoch(train) [49][55/79] lr: 6.7473e-03 eta: 5:53:22 time: 0.2129 data_time: 0.0006 memory: 1833 loss: 2.0390 loss_prob: 1.2028 loss_thr: 0.6287 loss_db: 0.2074 2022/12/19 20:28:35 - mmengine - INFO - Epoch(train) [49][60/79] lr: 6.7473e-03 eta: 5:53:15 time: 0.1989 data_time: 0.0006 memory: 1833 loss: 2.0565 loss_prob: 1.2301 loss_thr: 0.6166 loss_db: 0.2098 2022/12/19 20:28:36 - mmengine - INFO - Epoch(train) [49][65/79] lr: 6.7473e-03 eta: 5:53:11 time: 0.1934 data_time: 0.0006 memory: 1833 loss: 2.0206 loss_prob: 1.2018 loss_thr: 0.6169 loss_db: 0.2019 2022/12/19 20:28:37 - mmengine - INFO - Epoch(train) [49][70/79] lr: 6.7473e-03 eta: 5:53:07 time: 0.2058 data_time: 0.0006 memory: 1833 loss: 2.1533 loss_prob: 1.3013 loss_thr: 0.6298 loss_db: 0.2222 2022/12/19 20:28:38 - mmengine - INFO - Epoch(train) [49][75/79] lr: 6.7473e-03 eta: 5:53:01 time: 0.2025 data_time: 0.0006 memory: 1833 loss: 1.9919 loss_prob: 1.1797 loss_thr: 0.6101 loss_db: 0.2021 2022/12/19 20:28:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:28:40 - mmengine - INFO - Epoch(train) [50][5/79] lr: 6.7420e-03 eta: 5:53:16 time: 0.3063 data_time: 0.0635 memory: 1833 loss: 2.0390 loss_prob: 1.2311 loss_thr: 0.6008 loss_db: 0.2071 2022/12/19 20:28:42 - mmengine - INFO - Epoch(train) [50][10/79] lr: 6.7420e-03 eta: 5:53:17 time: 0.3310 data_time: 0.0634 memory: 1833 loss: 1.9228 loss_prob: 1.1445 loss_thr: 0.5879 loss_db: 0.1904 2022/12/19 20:28:43 - mmengine - INFO - Epoch(train) [50][15/79] lr: 6.7420e-03 eta: 5:53:12 time: 0.2282 data_time: 0.0007 memory: 1833 loss: 2.0567 loss_prob: 1.2233 loss_thr: 0.6283 loss_db: 0.2051 2022/12/19 20:28:44 - mmengine - INFO - Epoch(train) [50][20/79] lr: 6.7420e-03 eta: 5:53:06 time: 0.1951 data_time: 0.0007 memory: 1833 loss: 2.1019 loss_prob: 1.2532 loss_thr: 0.6316 loss_db: 0.2171 2022/12/19 20:28:45 - mmengine - INFO - Epoch(train) [50][25/79] lr: 6.7420e-03 eta: 5:53:01 time: 0.1940 data_time: 0.0007 memory: 1833 loss: 1.9509 loss_prob: 1.1449 loss_thr: 0.6054 loss_db: 0.2007 2022/12/19 20:28:46 - mmengine - INFO - Epoch(train) [50][30/79] lr: 6.7420e-03 eta: 5:53:00 time: 0.2173 data_time: 0.0008 memory: 1833 loss: 1.8306 loss_prob: 1.0711 loss_thr: 0.5756 loss_db: 0.1839 2022/12/19 20:28:47 - mmengine - INFO - Epoch(train) [50][35/79] lr: 6.7420e-03 eta: 5:52:56 time: 0.2209 data_time: 0.0008 memory: 1833 loss: 1.8682 loss_prob: 1.1055 loss_thr: 0.5710 loss_db: 0.1917 2022/12/19 20:28:48 - mmengine - INFO - Epoch(train) [50][40/79] lr: 6.7420e-03 eta: 5:52:54 time: 0.2193 data_time: 0.0008 memory: 1833 loss: 2.0663 loss_prob: 1.2618 loss_thr: 0.5956 loss_db: 0.2089 2022/12/19 20:28:49 - mmengine - INFO - Epoch(train) [50][45/79] lr: 6.7420e-03 eta: 5:52:53 time: 0.2306 data_time: 0.0007 memory: 1833 loss: 2.1369 loss_prob: 1.3014 loss_thr: 0.6194 loss_db: 0.2161 2022/12/19 20:28:50 - mmengine - INFO - Epoch(train) [50][50/79] lr: 6.7420e-03 eta: 5:52:52 time: 0.2320 data_time: 0.0007 memory: 1833 loss: 1.9886 loss_prob: 1.1651 loss_thr: 0.6225 loss_db: 0.2010 2022/12/19 20:28:51 - mmengine - INFO - Epoch(train) [50][55/79] lr: 6.7420e-03 eta: 5:52:46 time: 0.2137 data_time: 0.0006 memory: 1833 loss: 1.9393 loss_prob: 1.1377 loss_thr: 0.6093 loss_db: 0.1922 2022/12/19 20:28:52 - mmengine - INFO - Epoch(train) [50][60/79] lr: 6.7420e-03 eta: 5:52:44 time: 0.2089 data_time: 0.0006 memory: 1833 loss: 1.8696 loss_prob: 1.0868 loss_thr: 0.5973 loss_db: 0.1856 2022/12/19 20:28:53 - mmengine - INFO - Epoch(train) [50][65/79] lr: 6.7420e-03 eta: 5:52:36 time: 0.1981 data_time: 0.0005 memory: 1833 loss: 1.9601 loss_prob: 1.1445 loss_thr: 0.6232 loss_db: 0.1924 2022/12/19 20:28:55 - mmengine - INFO - Epoch(train) [50][70/79] lr: 6.7420e-03 eta: 5:52:37 time: 0.2137 data_time: 0.0007 memory: 1833 loss: 2.0087 loss_prob: 1.1978 loss_thr: 0.6095 loss_db: 0.2014 2022/12/19 20:28:56 - mmengine - INFO - Epoch(train) [50][75/79] lr: 6.7420e-03 eta: 5:52:32 time: 0.2284 data_time: 0.0007 memory: 1833 loss: 1.8628 loss_prob: 1.0946 loss_thr: 0.5776 loss_db: 0.1906 2022/12/19 20:28:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:28:59 - mmengine - INFO - Epoch(train) [51][5/79] lr: 6.7367e-03 eta: 5:52:52 time: 0.3266 data_time: 0.0688 memory: 1833 loss: 2.0382 loss_prob: 1.2198 loss_thr: 0.6152 loss_db: 0.2031 2022/12/19 20:29:00 - mmengine - INFO - Epoch(train) [51][10/79] lr: 6.7367e-03 eta: 5:52:53 time: 0.3621 data_time: 0.0685 memory: 1833 loss: 1.9483 loss_prob: 1.1507 loss_thr: 0.6042 loss_db: 0.1934 2022/12/19 20:29:01 - mmengine - INFO - Epoch(train) [51][15/79] lr: 6.7367e-03 eta: 5:52:52 time: 0.2417 data_time: 0.0007 memory: 1833 loss: 2.1838 loss_prob: 1.3061 loss_thr: 0.6575 loss_db: 0.2202 2022/12/19 20:29:02 - mmengine - INFO - Epoch(train) [51][20/79] lr: 6.7367e-03 eta: 5:52:54 time: 0.2457 data_time: 0.0007 memory: 1833 loss: 2.1103 loss_prob: 1.2615 loss_thr: 0.6343 loss_db: 0.2144 2022/12/19 20:29:04 - mmengine - INFO - Epoch(train) [51][25/79] lr: 6.7367e-03 eta: 5:52:55 time: 0.2553 data_time: 0.0007 memory: 1833 loss: 1.8188 loss_prob: 1.0683 loss_thr: 0.5696 loss_db: 0.1809 2022/12/19 20:29:05 - mmengine - INFO - Epoch(train) [51][30/79] lr: 6.7367e-03 eta: 5:52:53 time: 0.2401 data_time: 0.0007 memory: 1833 loss: 1.7532 loss_prob: 1.0199 loss_thr: 0.5627 loss_db: 0.1705 2022/12/19 20:29:06 - mmengine - INFO - Epoch(train) [51][35/79] lr: 6.7367e-03 eta: 5:52:47 time: 0.2089 data_time: 0.0007 memory: 1833 loss: 1.7567 loss_prob: 1.0114 loss_thr: 0.5749 loss_db: 0.1704 2022/12/19 20:29:07 - mmengine - INFO - Epoch(train) [51][40/79] lr: 6.7367e-03 eta: 5:52:42 time: 0.1925 data_time: 0.0007 memory: 1833 loss: 1.8190 loss_prob: 1.0485 loss_thr: 0.5906 loss_db: 0.1798 2022/12/19 20:29:08 - mmengine - INFO - Epoch(train) [51][45/79] lr: 6.7367e-03 eta: 5:52:40 time: 0.2122 data_time: 0.0007 memory: 1833 loss: 1.9432 loss_prob: 1.1345 loss_thr: 0.6185 loss_db: 0.1902 2022/12/19 20:29:09 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:29:09 - mmengine - INFO - Epoch(train) [51][50/79] lr: 6.7367e-03 eta: 5:52:37 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 2.0122 loss_prob: 1.1934 loss_thr: 0.6173 loss_db: 0.2016 2022/12/19 20:29:10 - mmengine - INFO - Epoch(train) [51][55/79] lr: 6.7367e-03 eta: 5:52:38 time: 0.2355 data_time: 0.0007 memory: 1833 loss: 2.0217 loss_prob: 1.1965 loss_thr: 0.6189 loss_db: 0.2063 2022/12/19 20:29:11 - mmengine - INFO - Epoch(train) [51][60/79] lr: 6.7367e-03 eta: 5:52:31 time: 0.2193 data_time: 0.0008 memory: 1833 loss: 2.0737 loss_prob: 1.2386 loss_thr: 0.6265 loss_db: 0.2085 2022/12/19 20:29:12 - mmengine - INFO - Epoch(train) [51][65/79] lr: 6.7367e-03 eta: 5:52:28 time: 0.2011 data_time: 0.0007 memory: 1833 loss: 2.0867 loss_prob: 1.2580 loss_thr: 0.6168 loss_db: 0.2119 2022/12/19 20:29:13 - mmengine - INFO - Epoch(train) [51][70/79] lr: 6.7367e-03 eta: 5:52:25 time: 0.2168 data_time: 0.0006 memory: 1833 loss: 2.1516 loss_prob: 1.2933 loss_thr: 0.6422 loss_db: 0.2161 2022/12/19 20:29:15 - mmengine - INFO - Epoch(train) [51][75/79] lr: 6.7367e-03 eta: 5:52:26 time: 0.2355 data_time: 0.0006 memory: 1833 loss: 2.1968 loss_prob: 1.3239 loss_thr: 0.6562 loss_db: 0.2167 2022/12/19 20:29:15 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:29:17 - mmengine - INFO - Epoch(train) [52][5/79] lr: 6.7315e-03 eta: 5:52:38 time: 0.2958 data_time: 0.0892 memory: 1833 loss: 1.9828 loss_prob: 1.1682 loss_thr: 0.6171 loss_db: 0.1975 2022/12/19 20:29:18 - mmengine - INFO - Epoch(train) [52][10/79] lr: 6.7315e-03 eta: 5:52:35 time: 0.3030 data_time: 0.0893 memory: 1833 loss: 2.1313 loss_prob: 1.2897 loss_thr: 0.6247 loss_db: 0.2169 2022/12/19 20:29:19 - mmengine - INFO - Epoch(train) [52][15/79] lr: 6.7315e-03 eta: 5:52:33 time: 0.2182 data_time: 0.0007 memory: 1833 loss: 2.0279 loss_prob: 1.2151 loss_thr: 0.6076 loss_db: 0.2053 2022/12/19 20:29:21 - mmengine - INFO - Epoch(train) [52][20/79] lr: 6.7315e-03 eta: 5:52:30 time: 0.2199 data_time: 0.0007 memory: 1833 loss: 1.8520 loss_prob: 1.0846 loss_thr: 0.5818 loss_db: 0.1856 2022/12/19 20:29:22 - mmengine - INFO - Epoch(train) [52][25/79] lr: 6.7315e-03 eta: 5:52:28 time: 0.2209 data_time: 0.0007 memory: 1833 loss: 1.9739 loss_prob: 1.1671 loss_thr: 0.6069 loss_db: 0.1998 2022/12/19 20:29:23 - mmengine - INFO - Epoch(train) [52][30/79] lr: 6.7315e-03 eta: 5:52:28 time: 0.2384 data_time: 0.0007 memory: 1833 loss: 2.2239 loss_prob: 1.3486 loss_thr: 0.6506 loss_db: 0.2247 2022/12/19 20:29:24 - mmengine - INFO - Epoch(train) [52][35/79] lr: 6.7315e-03 eta: 5:52:25 time: 0.2339 data_time: 0.0007 memory: 1833 loss: 2.3330 loss_prob: 1.4213 loss_thr: 0.6783 loss_db: 0.2334 2022/12/19 20:29:25 - mmengine - INFO - Epoch(train) [52][40/79] lr: 6.7315e-03 eta: 5:52:20 time: 0.2068 data_time: 0.0007 memory: 1833 loss: 2.1292 loss_prob: 1.2606 loss_thr: 0.6570 loss_db: 0.2116 2022/12/19 20:29:26 - mmengine - INFO - Epoch(train) [52][45/79] lr: 6.7315e-03 eta: 5:52:23 time: 0.2320 data_time: 0.0009 memory: 1833 loss: 2.1689 loss_prob: 1.3004 loss_thr: 0.6492 loss_db: 0.2193 2022/12/19 20:29:27 - mmengine - INFO - Epoch(train) [52][50/79] lr: 6.7315e-03 eta: 5:52:20 time: 0.2440 data_time: 0.0009 memory: 1833 loss: 2.0558 loss_prob: 1.2301 loss_thr: 0.6195 loss_db: 0.2061 2022/12/19 20:29:29 - mmengine - INFO - Epoch(train) [52][55/79] lr: 6.7315e-03 eta: 5:52:19 time: 0.2250 data_time: 0.0007 memory: 1833 loss: 1.8737 loss_prob: 1.0978 loss_thr: 0.5889 loss_db: 0.1870 2022/12/19 20:29:30 - mmengine - INFO - Epoch(train) [52][60/79] lr: 6.7315e-03 eta: 5:52:14 time: 0.2150 data_time: 0.0006 memory: 1833 loss: 2.1508 loss_prob: 1.2815 loss_thr: 0.6545 loss_db: 0.2149 2022/12/19 20:29:31 - mmengine - INFO - Epoch(train) [52][65/79] lr: 6.7315e-03 eta: 5:52:13 time: 0.2169 data_time: 0.0006 memory: 1833 loss: 2.1936 loss_prob: 1.3171 loss_thr: 0.6558 loss_db: 0.2207 2022/12/19 20:29:32 - mmengine - INFO - Epoch(train) [52][70/79] lr: 6.7315e-03 eta: 5:52:10 time: 0.2241 data_time: 0.0007 memory: 1833 loss: 2.2488 loss_prob: 1.3796 loss_thr: 0.6379 loss_db: 0.2313 2022/12/19 20:29:33 - mmengine - INFO - Epoch(train) [52][75/79] lr: 6.7315e-03 eta: 5:52:07 time: 0.2185 data_time: 0.0007 memory: 1833 loss: 2.0885 loss_prob: 1.2728 loss_thr: 0.6033 loss_db: 0.2123 2022/12/19 20:29:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:29:36 - mmengine - INFO - Epoch(train) [53][5/79] lr: 6.7262e-03 eta: 5:52:18 time: 0.2970 data_time: 0.0203 memory: 1833 loss: 1.9689 loss_prob: 1.1376 loss_thr: 0.6391 loss_db: 0.1921 2022/12/19 20:29:37 - mmengine - INFO - Epoch(train) [53][10/79] lr: 6.7262e-03 eta: 5:52:22 time: 0.3270 data_time: 0.0203 memory: 1833 loss: 1.9519 loss_prob: 1.1379 loss_thr: 0.6239 loss_db: 0.1900 2022/12/19 20:29:38 - mmengine - INFO - Epoch(train) [53][15/79] lr: 6.7262e-03 eta: 5:52:18 time: 0.2426 data_time: 0.0007 memory: 1833 loss: 1.8835 loss_prob: 1.1082 loss_thr: 0.5896 loss_db: 0.1858 2022/12/19 20:29:39 - mmengine - INFO - Epoch(train) [53][20/79] lr: 6.7262e-03 eta: 5:52:14 time: 0.2106 data_time: 0.0008 memory: 1833 loss: 1.7639 loss_prob: 1.0321 loss_thr: 0.5564 loss_db: 0.1754 2022/12/19 20:29:40 - mmengine - INFO - Epoch(train) [53][25/79] lr: 6.7262e-03 eta: 5:52:13 time: 0.2205 data_time: 0.0008 memory: 1833 loss: 1.9334 loss_prob: 1.1588 loss_thr: 0.5789 loss_db: 0.1956 2022/12/19 20:29:41 - mmengine - INFO - Epoch(train) [53][30/79] lr: 6.7262e-03 eta: 5:52:10 time: 0.2250 data_time: 0.0007 memory: 1833 loss: 2.1246 loss_prob: 1.2781 loss_thr: 0.6300 loss_db: 0.2164 2022/12/19 20:29:43 - mmengine - INFO - Epoch(train) [53][35/79] lr: 6.7262e-03 eta: 5:52:13 time: 0.2453 data_time: 0.0009 memory: 1833 loss: 1.9289 loss_prob: 1.1333 loss_thr: 0.5999 loss_db: 0.1956 2022/12/19 20:29:44 - mmengine - INFO - Epoch(train) [53][40/79] lr: 6.7262e-03 eta: 5:52:12 time: 0.2522 data_time: 0.0010 memory: 1833 loss: 1.9744 loss_prob: 1.1855 loss_thr: 0.5967 loss_db: 0.1922 2022/12/19 20:29:45 - mmengine - INFO - Epoch(train) [53][45/79] lr: 6.7262e-03 eta: 5:52:12 time: 0.2380 data_time: 0.0008 memory: 1833 loss: 2.1194 loss_prob: 1.2819 loss_thr: 0.6340 loss_db: 0.2036 2022/12/19 20:29:46 - mmengine - INFO - Epoch(train) [53][50/79] lr: 6.7262e-03 eta: 5:52:08 time: 0.2245 data_time: 0.0008 memory: 1833 loss: 2.0680 loss_prob: 1.2219 loss_thr: 0.6477 loss_db: 0.1984 2022/12/19 20:29:47 - mmengine - INFO - Epoch(train) [53][55/79] lr: 6.7262e-03 eta: 5:52:04 time: 0.2070 data_time: 0.0007 memory: 1833 loss: 1.8136 loss_prob: 1.0521 loss_thr: 0.5863 loss_db: 0.1752 2022/12/19 20:29:48 - mmengine - INFO - Epoch(train) [53][60/79] lr: 6.7262e-03 eta: 5:52:05 time: 0.2298 data_time: 0.0007 memory: 1833 loss: 1.7751 loss_prob: 1.0214 loss_thr: 0.5803 loss_db: 0.1734 2022/12/19 20:29:49 - mmengine - INFO - Epoch(train) [53][65/79] lr: 6.7262e-03 eta: 5:51:57 time: 0.2125 data_time: 0.0007 memory: 1833 loss: 1.9355 loss_prob: 1.1394 loss_thr: 0.6066 loss_db: 0.1895 2022/12/19 20:29:50 - mmengine - INFO - Epoch(train) [53][70/79] lr: 6.7262e-03 eta: 5:51:53 time: 0.1876 data_time: 0.0006 memory: 1833 loss: 1.9337 loss_prob: 1.1613 loss_thr: 0.5748 loss_db: 0.1975 2022/12/19 20:29:51 - mmengine - INFO - Epoch(train) [53][75/79] lr: 6.7262e-03 eta: 5:51:49 time: 0.2082 data_time: 0.0007 memory: 1833 loss: 1.8992 loss_prob: 1.1297 loss_thr: 0.5765 loss_db: 0.1930 2022/12/19 20:29:52 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:29:54 - mmengine - INFO - Epoch(train) [54][5/79] lr: 6.7209e-03 eta: 5:52:04 time: 0.3060 data_time: 0.0415 memory: 1833 loss: 1.9700 loss_prob: 1.1435 loss_thr: 0.6313 loss_db: 0.1953 2022/12/19 20:29:55 - mmengine - INFO - Epoch(train) [54][10/79] lr: 6.7209e-03 eta: 5:52:01 time: 0.3112 data_time: 0.0415 memory: 1833 loss: 1.9460 loss_prob: 1.1358 loss_thr: 0.6180 loss_db: 0.1922 2022/12/19 20:29:56 - mmengine - INFO - Epoch(train) [54][15/79] lr: 6.7209e-03 eta: 5:51:56 time: 0.2069 data_time: 0.0007 memory: 1833 loss: 1.9287 loss_prob: 1.1460 loss_thr: 0.5915 loss_db: 0.1913 2022/12/19 20:29:57 - mmengine - INFO - Epoch(train) [54][20/79] lr: 6.7209e-03 eta: 5:51:54 time: 0.2142 data_time: 0.0007 memory: 1833 loss: 1.8601 loss_prob: 1.0918 loss_thr: 0.5862 loss_db: 0.1821 2022/12/19 20:29:59 - mmengine - INFO - Epoch(train) [54][25/79] lr: 6.7209e-03 eta: 5:51:59 time: 0.2557 data_time: 0.0009 memory: 1833 loss: 1.7164 loss_prob: 0.9863 loss_thr: 0.5635 loss_db: 0.1666 2022/12/19 20:30:00 - mmengine - INFO - Epoch(train) [54][30/79] lr: 6.7209e-03 eta: 5:51:55 time: 0.2502 data_time: 0.0009 memory: 1833 loss: 1.7175 loss_prob: 0.9874 loss_thr: 0.5638 loss_db: 0.1664 2022/12/19 20:30:01 - mmengine - INFO - Epoch(train) [54][35/79] lr: 6.7209e-03 eta: 5:51:52 time: 0.2138 data_time: 0.0008 memory: 1833 loss: 1.8044 loss_prob: 1.0588 loss_thr: 0.5645 loss_db: 0.1811 2022/12/19 20:30:02 - mmengine - INFO - Epoch(train) [54][40/79] lr: 6.7209e-03 eta: 5:51:50 time: 0.2199 data_time: 0.0008 memory: 1833 loss: 1.8033 loss_prob: 1.0566 loss_thr: 0.5672 loss_db: 0.1795 2022/12/19 20:30:03 - mmengine - INFO - Epoch(train) [54][45/79] lr: 6.7209e-03 eta: 5:51:47 time: 0.2197 data_time: 0.0008 memory: 1833 loss: 1.7858 loss_prob: 1.0244 loss_thr: 0.5842 loss_db: 0.1771 2022/12/19 20:30:04 - mmengine - INFO - Epoch(train) [54][50/79] lr: 6.7209e-03 eta: 5:51:46 time: 0.2256 data_time: 0.0007 memory: 1833 loss: 1.9921 loss_prob: 1.1630 loss_thr: 0.6239 loss_db: 0.2053 2022/12/19 20:30:06 - mmengine - INFO - Epoch(train) [54][55/79] lr: 6.7209e-03 eta: 5:51:45 time: 0.2317 data_time: 0.0007 memory: 1833 loss: 2.1223 loss_prob: 1.2655 loss_thr: 0.6421 loss_db: 0.2147 2022/12/19 20:30:07 - mmengine - INFO - Epoch(train) [54][60/79] lr: 6.7209e-03 eta: 5:51:44 time: 0.2346 data_time: 0.0010 memory: 1833 loss: 2.1936 loss_prob: 1.3229 loss_thr: 0.6480 loss_db: 0.2227 2022/12/19 20:30:08 - mmengine - INFO - Epoch(train) [54][65/79] lr: 6.7209e-03 eta: 5:51:45 time: 0.2456 data_time: 0.0010 memory: 1833 loss: 2.1040 loss_prob: 1.2510 loss_thr: 0.6394 loss_db: 0.2136 2022/12/19 20:30:09 - mmengine - INFO - Epoch(train) [54][70/79] lr: 6.7209e-03 eta: 5:51:39 time: 0.2197 data_time: 0.0006 memory: 1833 loss: 1.7536 loss_prob: 1.0045 loss_thr: 0.5766 loss_db: 0.1725 2022/12/19 20:30:10 - mmengine - INFO - Epoch(train) [54][75/79] lr: 6.7209e-03 eta: 5:51:34 time: 0.1922 data_time: 0.0006 memory: 1833 loss: 1.7487 loss_prob: 1.0010 loss_thr: 0.5776 loss_db: 0.1701 2022/12/19 20:30:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:30:13 - mmengine - INFO - Epoch(train) [55][5/79] lr: 6.7156e-03 eta: 5:51:44 time: 0.2862 data_time: 0.0239 memory: 1833 loss: 1.8400 loss_prob: 1.0796 loss_thr: 0.5739 loss_db: 0.1865 2022/12/19 20:30:14 - mmengine - INFO - Epoch(train) [55][10/79] lr: 6.7156e-03 eta: 5:51:46 time: 0.3246 data_time: 0.0240 memory: 1833 loss: 2.0361 loss_prob: 1.2205 loss_thr: 0.6112 loss_db: 0.2045 2022/12/19 20:30:15 - mmengine - INFO - Epoch(train) [55][15/79] lr: 6.7156e-03 eta: 5:51:48 time: 0.2649 data_time: 0.0009 memory: 1833 loss: 2.0140 loss_prob: 1.2043 loss_thr: 0.6079 loss_db: 0.2019 2022/12/19 20:30:16 - mmengine - INFO - Epoch(train) [55][20/79] lr: 6.7156e-03 eta: 5:51:47 time: 0.2486 data_time: 0.0010 memory: 1833 loss: 1.9171 loss_prob: 1.1394 loss_thr: 0.5849 loss_db: 0.1927 2022/12/19 20:30:17 - mmengine - INFO - Epoch(train) [55][25/79] lr: 6.7156e-03 eta: 5:51:45 time: 0.2282 data_time: 0.0008 memory: 1833 loss: 1.9871 loss_prob: 1.1933 loss_thr: 0.5936 loss_db: 0.2002 2022/12/19 20:30:19 - mmengine - INFO - Epoch(train) [55][30/79] lr: 6.7156e-03 eta: 5:51:43 time: 0.2277 data_time: 0.0007 memory: 1833 loss: 1.9343 loss_prob: 1.1441 loss_thr: 0.5977 loss_db: 0.1926 2022/12/19 20:30:20 - mmengine - INFO - Epoch(train) [55][35/79] lr: 6.7156e-03 eta: 5:51:43 time: 0.2368 data_time: 0.0007 memory: 1833 loss: 1.9147 loss_prob: 1.1098 loss_thr: 0.6205 loss_db: 0.1843 2022/12/19 20:30:21 - mmengine - INFO - Epoch(train) [55][40/79] lr: 6.7156e-03 eta: 5:51:41 time: 0.2310 data_time: 0.0007 memory: 1833 loss: 1.9508 loss_prob: 1.1375 loss_thr: 0.6260 loss_db: 0.1873 2022/12/19 20:30:22 - mmengine - INFO - Epoch(train) [55][45/79] lr: 6.7156e-03 eta: 5:51:37 time: 0.2121 data_time: 0.0007 memory: 1833 loss: 1.9023 loss_prob: 1.1252 loss_thr: 0.5891 loss_db: 0.1881 2022/12/19 20:30:23 - mmengine - INFO - Epoch(train) [55][50/79] lr: 6.7156e-03 eta: 5:51:34 time: 0.2137 data_time: 0.0007 memory: 1833 loss: 1.8064 loss_prob: 1.0453 loss_thr: 0.5845 loss_db: 0.1766 2022/12/19 20:30:24 - mmengine - INFO - Epoch(train) [55][55/79] lr: 6.7156e-03 eta: 5:51:31 time: 0.2188 data_time: 0.0006 memory: 1833 loss: 1.9458 loss_prob: 1.1407 loss_thr: 0.6125 loss_db: 0.1927 2022/12/19 20:30:25 - mmengine - INFO - Epoch(train) [55][60/79] lr: 6.7156e-03 eta: 5:51:26 time: 0.2041 data_time: 0.0006 memory: 1833 loss: 1.9821 loss_prob: 1.1841 loss_thr: 0.5977 loss_db: 0.2004 2022/12/19 20:30:26 - mmengine - INFO - Epoch(train) [55][65/79] lr: 6.7156e-03 eta: 5:51:22 time: 0.2023 data_time: 0.0006 memory: 1833 loss: 1.9577 loss_prob: 1.1647 loss_thr: 0.5953 loss_db: 0.1977 2022/12/19 20:30:27 - mmengine - INFO - Epoch(train) [55][70/79] lr: 6.7156e-03 eta: 5:51:18 time: 0.2046 data_time: 0.0006 memory: 1833 loss: 2.0028 loss_prob: 1.1972 loss_thr: 0.6011 loss_db: 0.2045 2022/12/19 20:30:28 - mmengine - INFO - Epoch(train) [55][75/79] lr: 6.7156e-03 eta: 5:51:12 time: 0.1956 data_time: 0.0006 memory: 1833 loss: 1.9133 loss_prob: 1.1332 loss_thr: 0.5903 loss_db: 0.1897 2022/12/19 20:30:29 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:30:32 - mmengine - INFO - Epoch(train) [56][5/79] lr: 6.7103e-03 eta: 5:51:43 time: 0.3852 data_time: 0.0754 memory: 1833 loss: 1.6843 loss_prob: 0.9662 loss_thr: 0.5512 loss_db: 0.1670 2022/12/19 20:30:33 - mmengine - INFO - Epoch(train) [56][10/79] lr: 6.7103e-03 eta: 5:51:40 time: 0.3915 data_time: 0.0755 memory: 1833 loss: 1.7839 loss_prob: 1.0357 loss_thr: 0.5709 loss_db: 0.1774 2022/12/19 20:30:34 - mmengine - INFO - Epoch(train) [56][15/79] lr: 6.7103e-03 eta: 5:51:38 time: 0.2168 data_time: 0.0008 memory: 1833 loss: 1.9153 loss_prob: 1.1242 loss_thr: 0.5990 loss_db: 0.1921 2022/12/19 20:30:35 - mmengine - INFO - Epoch(train) [56][20/79] lr: 6.7103e-03 eta: 5:51:38 time: 0.2365 data_time: 0.0008 memory: 1833 loss: 1.9912 loss_prob: 1.1678 loss_thr: 0.6257 loss_db: 0.1978 2022/12/19 20:30:36 - mmengine - INFO - Epoch(train) [56][25/79] lr: 6.7103e-03 eta: 5:51:36 time: 0.2355 data_time: 0.0008 memory: 1833 loss: 1.7497 loss_prob: 1.0061 loss_thr: 0.5739 loss_db: 0.1696 2022/12/19 20:30:38 - mmengine - INFO - Epoch(train) [56][30/79] lr: 6.7103e-03 eta: 5:51:36 time: 0.2373 data_time: 0.0007 memory: 1833 loss: 1.7011 loss_prob: 0.9755 loss_thr: 0.5613 loss_db: 0.1644 2022/12/19 20:30:39 - mmengine - INFO - Epoch(train) [56][35/79] lr: 6.7103e-03 eta: 5:51:32 time: 0.2277 data_time: 0.0008 memory: 1833 loss: 1.8559 loss_prob: 1.0889 loss_thr: 0.5801 loss_db: 0.1868 2022/12/19 20:30:40 - mmengine - INFO - Epoch(train) [56][40/79] lr: 6.7103e-03 eta: 5:51:31 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 1.9197 loss_prob: 1.1349 loss_thr: 0.5907 loss_db: 0.1941 2022/12/19 20:30:41 - mmengine - INFO - Epoch(train) [56][45/79] lr: 6.7103e-03 eta: 5:51:28 time: 0.2235 data_time: 0.0007 memory: 1833 loss: 1.9544 loss_prob: 1.1455 loss_thr: 0.6140 loss_db: 0.1949 2022/12/19 20:30:42 - mmengine - INFO - Epoch(train) [56][50/79] lr: 6.7103e-03 eta: 5:51:24 time: 0.2114 data_time: 0.0007 memory: 1833 loss: 1.9113 loss_prob: 1.1206 loss_thr: 0.5966 loss_db: 0.1941 2022/12/19 20:30:43 - mmengine - INFO - Epoch(train) [56][55/79] lr: 6.7103e-03 eta: 5:51:22 time: 0.2156 data_time: 0.0007 memory: 1833 loss: 1.7731 loss_prob: 1.0404 loss_thr: 0.5574 loss_db: 0.1753 2022/12/19 20:30:44 - mmengine - INFO - Epoch(train) [56][60/79] lr: 6.7103e-03 eta: 5:51:19 time: 0.2207 data_time: 0.0006 memory: 1833 loss: 1.7826 loss_prob: 1.0347 loss_thr: 0.5725 loss_db: 0.1754 2022/12/19 20:30:45 - mmengine - INFO - Epoch(train) [56][65/79] lr: 6.7103e-03 eta: 5:51:17 time: 0.2200 data_time: 0.0006 memory: 1833 loss: 1.8146 loss_prob: 1.0576 loss_thr: 0.5760 loss_db: 0.1810 2022/12/19 20:30:47 - mmengine - INFO - Epoch(train) [56][70/79] lr: 6.7103e-03 eta: 5:51:18 time: 0.2388 data_time: 0.0007 memory: 1833 loss: 1.8275 loss_prob: 1.0900 loss_thr: 0.5559 loss_db: 0.1816 2022/12/19 20:30:48 - mmengine - INFO - Epoch(train) [56][75/79] lr: 6.7103e-03 eta: 5:51:14 time: 0.2313 data_time: 0.0007 memory: 1833 loss: 2.0494 loss_prob: 1.2445 loss_thr: 0.5982 loss_db: 0.2066 2022/12/19 20:30:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:30:51 - mmengine - INFO - Epoch(train) [57][5/79] lr: 6.7051e-03 eta: 5:51:32 time: 0.3255 data_time: 0.0442 memory: 1833 loss: 2.0561 loss_prob: 1.2409 loss_thr: 0.6061 loss_db: 0.2091 2022/12/19 20:30:52 - mmengine - INFO - Epoch(train) [57][10/79] lr: 6.7051e-03 eta: 5:51:29 time: 0.3433 data_time: 0.0442 memory: 1833 loss: 1.8925 loss_prob: 1.1259 loss_thr: 0.5720 loss_db: 0.1946 2022/12/19 20:30:53 - mmengine - INFO - Epoch(train) [57][15/79] lr: 6.7051e-03 eta: 5:51:28 time: 0.2248 data_time: 0.0008 memory: 1833 loss: 1.7208 loss_prob: 0.9856 loss_thr: 0.5640 loss_db: 0.1712 2022/12/19 20:30:54 - mmengine - INFO - Epoch(train) [57][20/79] lr: 6.7051e-03 eta: 5:51:23 time: 0.2109 data_time: 0.0007 memory: 1833 loss: 1.9132 loss_prob: 1.1147 loss_thr: 0.6077 loss_db: 0.1908 2022/12/19 20:30:55 - mmengine - INFO - Epoch(train) [57][25/79] lr: 6.7051e-03 eta: 5:51:20 time: 0.2040 data_time: 0.0007 memory: 1833 loss: 1.9844 loss_prob: 1.1763 loss_thr: 0.6089 loss_db: 0.1992 2022/12/19 20:30:56 - mmengine - INFO - Epoch(train) [57][30/79] lr: 6.7051e-03 eta: 5:51:19 time: 0.2291 data_time: 0.0007 memory: 1833 loss: 1.8990 loss_prob: 1.1271 loss_thr: 0.5811 loss_db: 0.1908 2022/12/19 20:30:57 - mmengine - INFO - Epoch(train) [57][35/79] lr: 6.7051e-03 eta: 5:51:19 time: 0.2424 data_time: 0.0007 memory: 1833 loss: 1.9513 loss_prob: 1.1845 loss_thr: 0.5660 loss_db: 0.2008 2022/12/19 20:30:58 - mmengine - INFO - Epoch(train) [57][40/79] lr: 6.7051e-03 eta: 5:51:15 time: 0.2237 data_time: 0.0007 memory: 1833 loss: 1.9290 loss_prob: 1.1592 loss_thr: 0.5711 loss_db: 0.1987 2022/12/19 20:30:59 - mmengine - INFO - Epoch(train) [57][45/79] lr: 6.7051e-03 eta: 5:51:12 time: 0.2103 data_time: 0.0008 memory: 1833 loss: 1.9878 loss_prob: 1.1783 loss_thr: 0.6051 loss_db: 0.2043 2022/12/19 20:31:00 - mmengine - INFO - Epoch(train) [57][50/79] lr: 6.7051e-03 eta: 5:51:08 time: 0.2095 data_time: 0.0008 memory: 1833 loss: 2.0322 loss_prob: 1.2170 loss_thr: 0.6089 loss_db: 0.2063 2022/12/19 20:31:01 - mmengine - INFO - Epoch(train) [57][55/79] lr: 6.7051e-03 eta: 5:51:03 time: 0.2004 data_time: 0.0007 memory: 1833 loss: 2.0252 loss_prob: 1.2147 loss_thr: 0.6092 loss_db: 0.2012 2022/12/19 20:31:03 - mmengine - INFO - Epoch(train) [57][60/79] lr: 6.7051e-03 eta: 5:51:06 time: 0.2341 data_time: 0.0007 memory: 1833 loss: 2.2183 loss_prob: 1.3408 loss_thr: 0.6527 loss_db: 0.2248 2022/12/19 20:31:04 - mmengine - INFO - Epoch(train) [57][65/79] lr: 6.7051e-03 eta: 5:51:04 time: 0.2499 data_time: 0.0007 memory: 1833 loss: 2.0171 loss_prob: 1.1974 loss_thr: 0.6176 loss_db: 0.2021 2022/12/19 20:31:05 - mmengine - INFO - Epoch(train) [57][70/79] lr: 6.7051e-03 eta: 5:51:00 time: 0.2154 data_time: 0.0006 memory: 1833 loss: 1.9708 loss_prob: 1.1665 loss_thr: 0.6087 loss_db: 0.1956 2022/12/19 20:31:06 - mmengine - INFO - Epoch(train) [57][75/79] lr: 6.7051e-03 eta: 5:50:57 time: 0.2056 data_time: 0.0006 memory: 1833 loss: 2.2763 loss_prob: 1.3734 loss_thr: 0.6727 loss_db: 0.2302 2022/12/19 20:31:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:31:09 - mmengine - INFO - Epoch(train) [58][5/79] lr: 6.6998e-03 eta: 5:51:12 time: 0.3240 data_time: 0.0558 memory: 1833 loss: 1.8625 loss_prob: 1.0977 loss_thr: 0.5771 loss_db: 0.1878 2022/12/19 20:31:10 - mmengine - INFO - Epoch(train) [58][10/79] lr: 6.6998e-03 eta: 5:51:09 time: 0.3292 data_time: 0.0559 memory: 1833 loss: 2.2908 loss_prob: 1.4057 loss_thr: 0.6561 loss_db: 0.2291 2022/12/19 20:31:11 - mmengine - INFO - Epoch(train) [58][15/79] lr: 6.6998e-03 eta: 5:51:08 time: 0.2229 data_time: 0.0007 memory: 1833 loss: 2.2126 loss_prob: 1.3472 loss_thr: 0.6467 loss_db: 0.2187 2022/12/19 20:31:12 - mmengine - INFO - Epoch(train) [58][20/79] lr: 6.6998e-03 eta: 5:51:03 time: 0.2174 data_time: 0.0007 memory: 1833 loss: 1.8845 loss_prob: 1.0886 loss_thr: 0.6091 loss_db: 0.1868 2022/12/19 20:31:13 - mmengine - INFO - Epoch(train) [58][25/79] lr: 6.6998e-03 eta: 5:51:01 time: 0.2122 data_time: 0.0007 memory: 1833 loss: 2.0499 loss_prob: 1.2121 loss_thr: 0.6328 loss_db: 0.2050 2022/12/19 20:31:15 - mmengine - INFO - Epoch(train) [58][30/79] lr: 6.6998e-03 eta: 5:51:02 time: 0.2362 data_time: 0.0007 memory: 1833 loss: 2.0705 loss_prob: 1.2371 loss_thr: 0.6247 loss_db: 0.2087 2022/12/19 20:31:16 - mmengine - INFO - Epoch(train) [58][35/79] lr: 6.6998e-03 eta: 5:50:58 time: 0.2315 data_time: 0.0007 memory: 1833 loss: 2.1469 loss_prob: 1.2922 loss_thr: 0.6344 loss_db: 0.2202 2022/12/19 20:31:17 - mmengine - INFO - Epoch(train) [58][40/79] lr: 6.6998e-03 eta: 5:50:58 time: 0.2285 data_time: 0.0007 memory: 1833 loss: 2.1191 loss_prob: 1.2824 loss_thr: 0.6208 loss_db: 0.2159 2022/12/19 20:31:18 - mmengine - INFO - Epoch(train) [58][45/79] lr: 6.6998e-03 eta: 5:50:54 time: 0.2254 data_time: 0.0008 memory: 1833 loss: 2.1313 loss_prob: 1.3012 loss_thr: 0.6069 loss_db: 0.2231 2022/12/19 20:31:19 - mmengine - INFO - Epoch(train) [58][50/79] lr: 6.6998e-03 eta: 5:50:54 time: 0.2219 data_time: 0.0011 memory: 1833 loss: 2.1669 loss_prob: 1.3077 loss_thr: 0.6329 loss_db: 0.2263 2022/12/19 20:31:20 - mmengine - INFO - Epoch(train) [58][55/79] lr: 6.6998e-03 eta: 5:50:51 time: 0.2261 data_time: 0.0010 memory: 1833 loss: 1.8418 loss_prob: 1.0791 loss_thr: 0.5769 loss_db: 0.1858 2022/12/19 20:31:21 - mmengine - INFO - Epoch(train) [58][60/79] lr: 6.6998e-03 eta: 5:50:48 time: 0.2166 data_time: 0.0006 memory: 1833 loss: 1.7289 loss_prob: 1.0119 loss_thr: 0.5451 loss_db: 0.1720 2022/12/19 20:31:22 - mmengine - INFO - Epoch(train) [58][65/79] lr: 6.6998e-03 eta: 5:50:43 time: 0.2067 data_time: 0.0006 memory: 1833 loss: 1.9002 loss_prob: 1.1306 loss_thr: 0.5801 loss_db: 0.1896 2022/12/19 20:31:23 - mmengine - INFO - Epoch(train) [58][70/79] lr: 6.6998e-03 eta: 5:50:40 time: 0.2062 data_time: 0.0010 memory: 1833 loss: 1.9626 loss_prob: 1.1623 loss_thr: 0.6046 loss_db: 0.1957 2022/12/19 20:31:24 - mmengine - INFO - Epoch(train) [58][75/79] lr: 6.6998e-03 eta: 5:50:38 time: 0.2172 data_time: 0.0010 memory: 1833 loss: 1.8450 loss_prob: 1.0798 loss_thr: 0.5807 loss_db: 0.1845 2022/12/19 20:31:25 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:31:27 - mmengine - INFO - Epoch(train) [59][5/79] lr: 6.6945e-03 eta: 5:50:41 time: 0.2553 data_time: 0.0480 memory: 1833 loss: 1.9224 loss_prob: 1.1208 loss_thr: 0.6087 loss_db: 0.1929 2022/12/19 20:31:28 - mmengine - INFO - Epoch(train) [59][10/79] lr: 6.6945e-03 eta: 5:50:38 time: 0.2688 data_time: 0.0481 memory: 1833 loss: 1.8711 loss_prob: 1.0741 loss_thr: 0.6155 loss_db: 0.1815 2022/12/19 20:31:29 - mmengine - INFO - Epoch(train) [59][15/79] lr: 6.6945e-03 eta: 5:50:35 time: 0.2164 data_time: 0.0007 memory: 1833 loss: 1.8412 loss_prob: 1.0544 loss_thr: 0.6101 loss_db: 0.1767 2022/12/19 20:31:30 - mmengine - INFO - Epoch(train) [59][20/79] lr: 6.6945e-03 eta: 5:50:35 time: 0.2291 data_time: 0.0007 memory: 1833 loss: 1.7469 loss_prob: 1.0116 loss_thr: 0.5624 loss_db: 0.1729 2022/12/19 20:31:31 - mmengine - INFO - Epoch(train) [59][25/79] lr: 6.6945e-03 eta: 5:50:32 time: 0.2287 data_time: 0.0007 memory: 1833 loss: 1.7553 loss_prob: 1.0318 loss_thr: 0.5459 loss_db: 0.1775 2022/12/19 20:31:32 - mmengine - INFO - Epoch(train) [59][30/79] lr: 6.6945e-03 eta: 5:50:29 time: 0.2129 data_time: 0.0007 memory: 1833 loss: 1.8332 loss_prob: 1.0795 loss_thr: 0.5673 loss_db: 0.1865 2022/12/19 20:31:33 - mmengine - INFO - Epoch(train) [59][35/79] lr: 6.6945e-03 eta: 5:50:25 time: 0.2106 data_time: 0.0007 memory: 1833 loss: 1.9150 loss_prob: 1.1330 loss_thr: 0.5863 loss_db: 0.1957 2022/12/19 20:31:35 - mmengine - INFO - Epoch(train) [59][40/79] lr: 6.6945e-03 eta: 5:50:26 time: 0.2320 data_time: 0.0009 memory: 1833 loss: 1.9060 loss_prob: 1.1230 loss_thr: 0.5901 loss_db: 0.1929 2022/12/19 20:31:36 - mmengine - INFO - Epoch(train) [59][45/79] lr: 6.6945e-03 eta: 5:50:26 time: 0.2490 data_time: 0.0009 memory: 1833 loss: 1.7932 loss_prob: 1.0447 loss_thr: 0.5694 loss_db: 0.1791 2022/12/19 20:31:37 - mmengine - INFO - Epoch(train) [59][50/79] lr: 6.6945e-03 eta: 5:50:22 time: 0.2259 data_time: 0.0007 memory: 1833 loss: 1.8317 loss_prob: 1.0785 loss_thr: 0.5698 loss_db: 0.1834 2022/12/19 20:31:38 - mmengine - INFO - Epoch(train) [59][55/79] lr: 6.6945e-03 eta: 5:50:20 time: 0.2140 data_time: 0.0007 memory: 1833 loss: 1.7490 loss_prob: 1.0049 loss_thr: 0.5758 loss_db: 0.1683 2022/12/19 20:31:39 - mmengine - INFO - Epoch(train) [59][60/79] lr: 6.6945e-03 eta: 5:50:15 time: 0.2080 data_time: 0.0006 memory: 1833 loss: 1.7090 loss_prob: 0.9679 loss_thr: 0.5780 loss_db: 0.1631 2022/12/19 20:31:40 - mmengine - INFO - Epoch(train) [59][65/79] lr: 6.6945e-03 eta: 5:50:13 time: 0.2132 data_time: 0.0006 memory: 1833 loss: 1.8244 loss_prob: 1.0594 loss_thr: 0.5826 loss_db: 0.1824 2022/12/19 20:31:41 - mmengine - INFO - Epoch(train) [59][70/79] lr: 6.6945e-03 eta: 5:50:09 time: 0.2142 data_time: 0.0006 memory: 1833 loss: 1.9148 loss_prob: 1.1326 loss_thr: 0.5911 loss_db: 0.1911 2022/12/19 20:31:42 - mmengine - INFO - Epoch(train) [59][75/79] lr: 6.6945e-03 eta: 5:50:05 time: 0.1992 data_time: 0.0010 memory: 1833 loss: 2.0790 loss_prob: 1.2343 loss_thr: 0.6364 loss_db: 0.2083 2022/12/19 20:31:43 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:31:45 - mmengine - INFO - Epoch(train) [60][5/79] lr: 6.6892e-03 eta: 5:50:20 time: 0.3136 data_time: 0.1112 memory: 1833 loss: 1.9051 loss_prob: 1.1224 loss_thr: 0.5927 loss_db: 0.1900 2022/12/19 20:31:46 - mmengine - INFO - Epoch(train) [60][10/79] lr: 6.6892e-03 eta: 5:50:15 time: 0.3223 data_time: 0.1109 memory: 1833 loss: 1.9618 loss_prob: 1.1544 loss_thr: 0.6107 loss_db: 0.1967 2022/12/19 20:31:47 - mmengine - INFO - Epoch(train) [60][15/79] lr: 6.6892e-03 eta: 5:50:13 time: 0.2103 data_time: 0.0007 memory: 1833 loss: 1.8713 loss_prob: 1.0772 loss_thr: 0.6073 loss_db: 0.1868 2022/12/19 20:31:48 - mmengine - INFO - Epoch(train) [60][20/79] lr: 6.6892e-03 eta: 5:50:12 time: 0.2295 data_time: 0.0007 memory: 1833 loss: 1.8250 loss_prob: 1.0703 loss_thr: 0.5700 loss_db: 0.1847 2022/12/19 20:31:49 - mmengine - INFO - Epoch(train) [60][25/79] lr: 6.6892e-03 eta: 5:50:08 time: 0.2189 data_time: 0.0007 memory: 1833 loss: 1.8031 loss_prob: 1.0587 loss_thr: 0.5631 loss_db: 0.1813 2022/12/19 20:31:51 - mmengine - INFO - Epoch(train) [60][30/79] lr: 6.6892e-03 eta: 5:50:09 time: 0.2338 data_time: 0.0009 memory: 1833 loss: 1.7110 loss_prob: 0.9935 loss_thr: 0.5481 loss_db: 0.1694 2022/12/19 20:31:52 - mmengine - INFO - Epoch(train) [60][35/79] lr: 6.6892e-03 eta: 5:50:05 time: 0.2333 data_time: 0.0009 memory: 1833 loss: 1.7583 loss_prob: 1.0245 loss_thr: 0.5598 loss_db: 0.1740 2022/12/19 20:31:53 - mmengine - INFO - Epoch(train) [60][40/79] lr: 6.6892e-03 eta: 5:50:03 time: 0.2102 data_time: 0.0008 memory: 1833 loss: 2.0773 loss_prob: 1.2508 loss_thr: 0.6207 loss_db: 0.2059 2022/12/19 20:31:54 - mmengine - INFO - Epoch(train) [60][45/79] lr: 6.6892e-03 eta: 5:50:00 time: 0.2183 data_time: 0.0007 memory: 1833 loss: 2.2094 loss_prob: 1.3478 loss_thr: 0.6400 loss_db: 0.2216 2022/12/19 20:31:55 - mmengine - INFO - Epoch(train) [60][50/79] lr: 6.6892e-03 eta: 5:50:02 time: 0.2433 data_time: 0.0008 memory: 1833 loss: 1.9900 loss_prob: 1.1826 loss_thr: 0.6074 loss_db: 0.2001 2022/12/19 20:31:56 - mmengine - INFO - Epoch(train) [60][55/79] lr: 6.6892e-03 eta: 5:50:02 time: 0.2548 data_time: 0.0007 memory: 1833 loss: 1.7930 loss_prob: 1.0488 loss_thr: 0.5645 loss_db: 0.1797 2022/12/19 20:31:58 - mmengine - INFO - Epoch(train) [60][60/79] lr: 6.6892e-03 eta: 5:50:00 time: 0.2350 data_time: 0.0006 memory: 1833 loss: 1.7351 loss_prob: 1.0200 loss_thr: 0.5408 loss_db: 0.1743 2022/12/19 20:31:59 - mmengine - INFO - Epoch(train) [60][65/79] lr: 6.6892e-03 eta: 5:49:55 time: 0.2095 data_time: 0.0006 memory: 1833 loss: 1.7790 loss_prob: 1.0403 loss_thr: 0.5613 loss_db: 0.1774 2022/12/19 20:32:00 - mmengine - INFO - Epoch(train) [60][70/79] lr: 6.6892e-03 eta: 5:49:51 time: 0.1965 data_time: 0.0006 memory: 1833 loss: 1.8542 loss_prob: 1.0666 loss_thr: 0.6060 loss_db: 0.1816 2022/12/19 20:32:01 - mmengine - INFO - Epoch(train) [60][75/79] lr: 6.6892e-03 eta: 5:49:47 time: 0.1996 data_time: 0.0006 memory: 1833 loss: 1.8374 loss_prob: 1.0375 loss_thr: 0.6237 loss_db: 0.1761 2022/12/19 20:32:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:32:01 - mmengine - INFO - Epoch(val) [60][5/75] eta: 0:00:01 time: 0.0272 data_time: 0.0119 memory: 1833 2022/12/19 20:32:01 - mmengine - INFO - Epoch(val) [60][10/75] eta: 0:00:01 time: 0.0190 data_time: 0.0027 memory: 425 2022/12/19 20:32:02 - mmengine - INFO - Epoch(val) [60][15/75] eta: 0:00:01 time: 0.0334 data_time: 0.0003 memory: 425 2022/12/19 20:32:02 - mmengine - INFO - Epoch(val) [60][20/75] eta: 0:00:01 time: 0.0343 data_time: 0.0003 memory: 425 2022/12/19 20:32:02 - mmengine - INFO - Epoch(val) [60][25/75] eta: 0:00:01 time: 0.0254 data_time: 0.0101 memory: 390 2022/12/19 20:32:02 - mmengine - INFO - Epoch(val) [60][30/75] eta: 0:00:01 time: 0.0677 data_time: 0.0412 memory: 390 2022/12/19 20:32:03 - mmengine - INFO - Epoch(val) [60][35/75] eta: 0:00:01 time: 0.0699 data_time: 0.0430 memory: 368 2022/12/19 20:32:03 - mmengine - INFO - Epoch(val) [60][40/75] eta: 0:00:01 time: 0.0391 data_time: 0.0220 memory: 390 2022/12/19 20:32:03 - mmengine - INFO - Epoch(val) [60][45/75] eta: 0:00:01 time: 0.0290 data_time: 0.0104 memory: 425 2022/12/19 20:32:03 - mmengine - INFO - Epoch(val) [60][50/75] eta: 0:00:00 time: 0.0175 data_time: 0.0003 memory: 430 2022/12/19 20:32:03 - mmengine - INFO - Epoch(val) [60][55/75] eta: 0:00:00 time: 0.0197 data_time: 0.0032 memory: 407 2022/12/19 20:32:03 - mmengine - INFO - Epoch(val) [60][60/75] eta: 0:00:00 time: 0.0258 data_time: 0.0032 memory: 390 2022/12/19 20:32:03 - mmengine - INFO - Epoch(val) [60][65/75] eta: 0:00:00 time: 0.0247 data_time: 0.0003 memory: 390 2022/12/19 20:32:04 - mmengine - INFO - Epoch(val) [60][70/75] eta: 0:00:00 time: 0.0310 data_time: 0.0003 memory: 425 2022/12/19 20:32:04 - mmengine - INFO - Epoch(val) [60][75/75] eta: 0:00:00 time: 0.0367 data_time: 0.0086 memory: 368 2022/12/19 20:32:04 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 20:32:04 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7549, precision: 0.6603, hmean: 0.7044 2022/12/19 20:32:04 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7544, precision: 0.7423, hmean: 0.7483 2022/12/19 20:32:04 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7481, precision: 0.8020, hmean: 0.7741 2022/12/19 20:32:04 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7129, precision: 0.8558, hmean: 0.7778 2022/12/19 20:32:04 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.5341, precision: 0.9142, hmean: 0.6743 2022/12/19 20:32:04 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.1047, precision: 0.9587, hmean: 0.1888 2022/12/19 20:32:04 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/12/19 20:32:04 - mmengine - INFO - Epoch(val) [60][75/75] icdar/precision: 0.8558 icdar/recall: 0.7129 icdar/hmean: 0.7778 2022/12/19 20:32:04 - mmengine - INFO - The previous best checkpoint work_dirs/dbnet_resnet18_fpnc_1200e_totaltext/best_icdar/hmean_epoch_40.pth is removed 2022/12/19 20:32:05 - mmengine - INFO - The best checkpoint with 0.7778 icdar/hmean at 60 epoch is saved to best_icdar/hmean_epoch_60.pth. 2022/12/19 20:32:07 - mmengine - INFO - Epoch(train) [61][5/79] lr: 6.6839e-03 eta: 5:49:56 time: 0.2883 data_time: 0.0510 memory: 1833 loss: 1.9113 loss_prob: 1.1054 loss_thr: 0.6151 loss_db: 0.1908 2022/12/19 20:32:08 - mmengine - INFO - Epoch(train) [61][10/79] lr: 6.6839e-03 eta: 5:49:52 time: 0.3012 data_time: 0.0507 memory: 1833 loss: 1.8728 loss_prob: 1.0782 loss_thr: 0.6073 loss_db: 0.1873 2022/12/19 20:32:09 - mmengine - INFO - Epoch(train) [61][15/79] lr: 6.6839e-03 eta: 5:49:50 time: 0.2162 data_time: 0.0007 memory: 1833 loss: 1.7682 loss_prob: 1.0225 loss_thr: 0.5708 loss_db: 0.1750 2022/12/19 20:32:10 - mmengine - INFO - Epoch(train) [61][20/79] lr: 6.6839e-03 eta: 5:49:48 time: 0.2261 data_time: 0.0007 memory: 1833 loss: 1.9047 loss_prob: 1.1289 loss_thr: 0.5843 loss_db: 0.1915 2022/12/19 20:32:11 - mmengine - INFO - Epoch(train) [61][25/79] lr: 6.6839e-03 eta: 5:49:46 time: 0.2230 data_time: 0.0009 memory: 1833 loss: 2.0376 loss_prob: 1.2247 loss_thr: 0.6068 loss_db: 0.2061 2022/12/19 20:32:12 - mmengine - INFO - Epoch(train) [61][30/79] lr: 6.6839e-03 eta: 5:49:46 time: 0.2339 data_time: 0.0009 memory: 1833 loss: 1.9978 loss_prob: 1.2061 loss_thr: 0.5895 loss_db: 0.2023 2022/12/19 20:32:13 - mmengine - INFO - Epoch(train) [61][35/79] lr: 6.6839e-03 eta: 5:49:42 time: 0.2254 data_time: 0.0007 memory: 1833 loss: 1.8994 loss_prob: 1.1264 loss_thr: 0.5835 loss_db: 0.1896 2022/12/19 20:32:14 - mmengine - INFO - Epoch(train) [61][40/79] lr: 6.6839e-03 eta: 5:49:40 time: 0.2140 data_time: 0.0008 memory: 1833 loss: 1.8147 loss_prob: 1.0552 loss_thr: 0.5800 loss_db: 0.1795 2022/12/19 20:32:15 - mmengine - INFO - Epoch(train) [61][45/79] lr: 6.6839e-03 eta: 5:49:35 time: 0.2084 data_time: 0.0008 memory: 1833 loss: 1.9575 loss_prob: 1.1631 loss_thr: 0.5987 loss_db: 0.1957 2022/12/19 20:32:16 - mmengine - INFO - Epoch(train) [61][50/79] lr: 6.6839e-03 eta: 5:49:34 time: 0.2142 data_time: 0.0007 memory: 1833 loss: 2.0042 loss_prob: 1.1930 loss_thr: 0.6115 loss_db: 0.1996 2022/12/19 20:32:18 - mmengine - INFO - Epoch(train) [61][55/79] lr: 6.6839e-03 eta: 5:49:32 time: 0.2283 data_time: 0.0006 memory: 1833 loss: 1.8834 loss_prob: 1.1134 loss_thr: 0.5801 loss_db: 0.1899 2022/12/19 20:32:19 - mmengine - INFO - Epoch(train) [61][60/79] lr: 6.6839e-03 eta: 5:49:30 time: 0.2206 data_time: 0.0006 memory: 1833 loss: 1.9048 loss_prob: 1.1324 loss_thr: 0.5801 loss_db: 0.1923 2022/12/19 20:32:20 - mmengine - INFO - Epoch(train) [61][65/79] lr: 6.6839e-03 eta: 5:49:27 time: 0.2185 data_time: 0.0005 memory: 1833 loss: 1.9370 loss_prob: 1.1395 loss_thr: 0.6010 loss_db: 0.1965 2022/12/19 20:32:21 - mmengine - INFO - Epoch(train) [61][70/79] lr: 6.6839e-03 eta: 5:49:22 time: 0.2066 data_time: 0.0005 memory: 1833 loss: 1.9128 loss_prob: 1.1118 loss_thr: 0.6091 loss_db: 0.1919 2022/12/19 20:32:22 - mmengine - INFO - Epoch(train) [61][75/79] lr: 6.6839e-03 eta: 5:49:25 time: 0.2349 data_time: 0.0016 memory: 1833 loss: 1.8576 loss_prob: 1.0778 loss_thr: 0.5974 loss_db: 0.1824 2022/12/19 20:32:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:32:25 - mmengine - INFO - Epoch(train) [62][5/79] lr: 6.6787e-03 eta: 5:49:36 time: 0.2966 data_time: 0.0834 memory: 1833 loss: 1.9354 loss_prob: 1.1434 loss_thr: 0.5981 loss_db: 0.1939 2022/12/19 20:32:26 - mmengine - INFO - Epoch(train) [62][10/79] lr: 6.6787e-03 eta: 5:49:32 time: 0.3126 data_time: 0.0825 memory: 1833 loss: 1.9525 loss_prob: 1.1757 loss_thr: 0.5801 loss_db: 0.1968 2022/12/19 20:32:27 - mmengine - INFO - Epoch(train) [62][15/79] lr: 6.6787e-03 eta: 5:49:28 time: 0.2033 data_time: 0.0007 memory: 1833 loss: 1.8762 loss_prob: 1.1126 loss_thr: 0.5734 loss_db: 0.1902 2022/12/19 20:32:28 - mmengine - INFO - Epoch(train) [62][20/79] lr: 6.6787e-03 eta: 5:49:28 time: 0.2241 data_time: 0.0007 memory: 1833 loss: 1.8783 loss_prob: 1.1169 loss_thr: 0.5706 loss_db: 0.1908 2022/12/19 20:32:29 - mmengine - INFO - Epoch(train) [62][25/79] lr: 6.6787e-03 eta: 5:49:26 time: 0.2368 data_time: 0.0007 memory: 1833 loss: 1.8371 loss_prob: 1.1013 loss_thr: 0.5509 loss_db: 0.1850 2022/12/19 20:32:30 - mmengine - INFO - Epoch(train) [62][30/79] lr: 6.6787e-03 eta: 5:49:23 time: 0.2198 data_time: 0.0008 memory: 1833 loss: 1.8615 loss_prob: 1.1014 loss_thr: 0.5731 loss_db: 0.1870 2022/12/19 20:32:31 - mmengine - INFO - Epoch(train) [62][35/79] lr: 6.6787e-03 eta: 5:49:21 time: 0.2148 data_time: 0.0008 memory: 1833 loss: 1.9655 loss_prob: 1.1456 loss_thr: 0.6255 loss_db: 0.1943 2022/12/19 20:32:32 - mmengine - INFO - Epoch(train) [62][40/79] lr: 6.6787e-03 eta: 5:49:16 time: 0.2110 data_time: 0.0008 memory: 1833 loss: 1.8266 loss_prob: 1.0383 loss_thr: 0.6120 loss_db: 0.1763 2022/12/19 20:32:33 - mmengine - INFO - Epoch(train) [62][45/79] lr: 6.6787e-03 eta: 5:49:13 time: 0.2032 data_time: 0.0008 memory: 1833 loss: 1.7197 loss_prob: 0.9820 loss_thr: 0.5687 loss_db: 0.1690 2022/12/19 20:32:35 - mmengine - INFO - Epoch(train) [62][50/79] lr: 6.6787e-03 eta: 5:49:11 time: 0.2179 data_time: 0.0007 memory: 1833 loss: 1.8210 loss_prob: 1.0553 loss_thr: 0.5842 loss_db: 0.1816 2022/12/19 20:32:36 - mmengine - INFO - Epoch(train) [62][55/79] lr: 6.6787e-03 eta: 5:49:10 time: 0.2284 data_time: 0.0006 memory: 1833 loss: 1.9246 loss_prob: 1.1267 loss_thr: 0.6064 loss_db: 0.1915 2022/12/19 20:32:37 - mmengine - INFO - Epoch(train) [62][60/79] lr: 6.6787e-03 eta: 5:49:06 time: 0.2157 data_time: 0.0006 memory: 1833 loss: 2.0300 loss_prob: 1.2163 loss_thr: 0.6128 loss_db: 0.2010 2022/12/19 20:32:38 - mmengine - INFO - Epoch(train) [62][65/79] lr: 6.6787e-03 eta: 5:49:06 time: 0.2249 data_time: 0.0007 memory: 1833 loss: 2.0321 loss_prob: 1.2076 loss_thr: 0.6253 loss_db: 0.1992 2022/12/19 20:32:39 - mmengine - INFO - Epoch(train) [62][70/79] lr: 6.6787e-03 eta: 5:49:06 time: 0.2452 data_time: 0.0012 memory: 1833 loss: 1.7893 loss_prob: 1.0334 loss_thr: 0.5795 loss_db: 0.1765 2022/12/19 20:32:41 - mmengine - INFO - Epoch(train) [62][75/79] lr: 6.6787e-03 eta: 5:49:10 time: 0.2667 data_time: 0.0011 memory: 1833 loss: 1.6776 loss_prob: 0.9607 loss_thr: 0.5503 loss_db: 0.1665 2022/12/19 20:32:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:32:44 - mmengine - INFO - Epoch(train) [63][5/79] lr: 6.6734e-03 eta: 5:49:36 time: 0.3981 data_time: 0.0300 memory: 1833 loss: 1.7747 loss_prob: 1.0393 loss_thr: 0.5546 loss_db: 0.1809 2022/12/19 20:32:45 - mmengine - INFO - Epoch(train) [63][10/79] lr: 6.6734e-03 eta: 5:49:35 time: 0.3995 data_time: 0.0300 memory: 1833 loss: 1.8345 loss_prob: 1.0920 loss_thr: 0.5569 loss_db: 0.1856 2022/12/19 20:32:47 - mmengine - INFO - Epoch(train) [63][15/79] lr: 6.6734e-03 eta: 5:49:33 time: 0.2278 data_time: 0.0007 memory: 1833 loss: 1.8653 loss_prob: 1.1107 loss_thr: 0.5638 loss_db: 0.1908 2022/12/19 20:32:48 - mmengine - INFO - Epoch(train) [63][20/79] lr: 6.6734e-03 eta: 5:49:32 time: 0.2303 data_time: 0.0008 memory: 1833 loss: 1.9160 loss_prob: 1.1418 loss_thr: 0.5770 loss_db: 0.1972 2022/12/19 20:32:49 - mmengine - INFO - Epoch(train) [63][25/79] lr: 6.6734e-03 eta: 5:49:29 time: 0.2229 data_time: 0.0008 memory: 1833 loss: 1.9191 loss_prob: 1.1334 loss_thr: 0.5908 loss_db: 0.1949 2022/12/19 20:32:50 - mmengine - INFO - Epoch(train) [63][30/79] lr: 6.6734e-03 eta: 5:49:26 time: 0.2126 data_time: 0.0008 memory: 1833 loss: 1.8086 loss_prob: 1.0484 loss_thr: 0.5806 loss_db: 0.1796 2022/12/19 20:32:51 - mmengine - INFO - Epoch(train) [63][35/79] lr: 6.6734e-03 eta: 5:49:23 time: 0.2147 data_time: 0.0007 memory: 1833 loss: 1.7718 loss_prob: 1.0349 loss_thr: 0.5627 loss_db: 0.1741 2022/12/19 20:32:52 - mmengine - INFO - Epoch(train) [63][40/79] lr: 6.6734e-03 eta: 5:49:19 time: 0.2089 data_time: 0.0008 memory: 1833 loss: 1.7398 loss_prob: 1.0031 loss_thr: 0.5657 loss_db: 0.1710 2022/12/19 20:32:53 - mmengine - INFO - Epoch(train) [63][45/79] lr: 6.6734e-03 eta: 5:49:15 time: 0.2044 data_time: 0.0008 memory: 1833 loss: 1.8347 loss_prob: 1.0619 loss_thr: 0.5868 loss_db: 0.1859 2022/12/19 20:32:54 - mmengine - INFO - Epoch(train) [63][50/79] lr: 6.6734e-03 eta: 5:49:16 time: 0.2267 data_time: 0.0008 memory: 1833 loss: 1.9685 loss_prob: 1.1510 loss_thr: 0.6174 loss_db: 0.2001 2022/12/19 20:32:55 - mmengine - INFO - Epoch(train) [63][55/79] lr: 6.6734e-03 eta: 5:49:12 time: 0.2283 data_time: 0.0008 memory: 1833 loss: 1.9803 loss_prob: 1.1611 loss_thr: 0.6173 loss_db: 0.2019 2022/12/19 20:32:56 - mmengine - INFO - Epoch(train) [63][60/79] lr: 6.6734e-03 eta: 5:49:10 time: 0.2161 data_time: 0.0007 memory: 1833 loss: 1.9510 loss_prob: 1.1573 loss_thr: 0.5933 loss_db: 0.2004 2022/12/19 20:32:58 - mmengine - INFO - Epoch(train) [63][65/79] lr: 6.6734e-03 eta: 5:49:09 time: 0.2314 data_time: 0.0007 memory: 1833 loss: 1.9043 loss_prob: 1.1289 loss_thr: 0.5846 loss_db: 0.1907 2022/12/19 20:32:59 - mmengine - INFO - Epoch(train) [63][70/79] lr: 6.6734e-03 eta: 5:49:12 time: 0.2544 data_time: 0.0009 memory: 1833 loss: 2.0177 loss_prob: 1.1960 loss_thr: 0.6181 loss_db: 0.2036 2022/12/19 20:33:00 - mmengine - INFO - Epoch(train) [63][75/79] lr: 6.6734e-03 eta: 5:49:08 time: 0.2381 data_time: 0.0009 memory: 1833 loss: 2.1950 loss_prob: 1.3043 loss_thr: 0.6628 loss_db: 0.2279 2022/12/19 20:33:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:33:03 - mmengine - INFO - Epoch(train) [64][5/79] lr: 6.6681e-03 eta: 5:49:18 time: 0.2994 data_time: 0.0239 memory: 1833 loss: 1.9018 loss_prob: 1.1182 loss_thr: 0.5929 loss_db: 0.1907 2022/12/19 20:33:04 - mmengine - INFO - Epoch(train) [64][10/79] lr: 6.6681e-03 eta: 5:49:16 time: 0.3003 data_time: 0.0240 memory: 1833 loss: 1.7934 loss_prob: 1.0418 loss_thr: 0.5684 loss_db: 0.1832 2022/12/19 20:33:05 - mmengine - INFO - Epoch(train) [64][15/79] lr: 6.6681e-03 eta: 5:49:15 time: 0.2287 data_time: 0.0009 memory: 1833 loss: 1.7612 loss_prob: 1.0411 loss_thr: 0.5395 loss_db: 0.1807 2022/12/19 20:33:06 - mmengine - INFO - Epoch(train) [64][20/79] lr: 6.6681e-03 eta: 5:49:11 time: 0.2187 data_time: 0.0008 memory: 1833 loss: 1.8827 loss_prob: 1.1258 loss_thr: 0.5667 loss_db: 0.1903 2022/12/19 20:33:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:33:07 - mmengine - INFO - Epoch(train) [64][25/79] lr: 6.6681e-03 eta: 5:49:09 time: 0.2125 data_time: 0.0008 memory: 1833 loss: 1.8343 loss_prob: 1.0782 loss_thr: 0.5690 loss_db: 0.1870 2022/12/19 20:33:08 - mmengine - INFO - Epoch(train) [64][30/79] lr: 6.6681e-03 eta: 5:49:07 time: 0.2216 data_time: 0.0009 memory: 1833 loss: 1.8900 loss_prob: 1.1189 loss_thr: 0.5802 loss_db: 0.1909 2022/12/19 20:33:09 - mmengine - INFO - Epoch(train) [64][35/79] lr: 6.6681e-03 eta: 5:49:03 time: 0.2116 data_time: 0.0009 memory: 1833 loss: 1.9578 loss_prob: 1.1548 loss_thr: 0.6065 loss_db: 0.1964 2022/12/19 20:33:10 - mmengine - INFO - Epoch(train) [64][40/79] lr: 6.6681e-03 eta: 5:49:00 time: 0.2096 data_time: 0.0008 memory: 1833 loss: 1.7247 loss_prob: 0.9997 loss_thr: 0.5526 loss_db: 0.1725 2022/12/19 20:33:12 - mmengine - INFO - Epoch(train) [64][45/79] lr: 6.6681e-03 eta: 5:49:00 time: 0.2339 data_time: 0.0009 memory: 1833 loss: 1.7149 loss_prob: 1.0002 loss_thr: 0.5457 loss_db: 0.1690 2022/12/19 20:33:13 - mmengine - INFO - Epoch(train) [64][50/79] lr: 6.6681e-03 eta: 5:48:55 time: 0.2181 data_time: 0.0009 memory: 1833 loss: 1.7505 loss_prob: 1.0315 loss_thr: 0.5471 loss_db: 0.1719 2022/12/19 20:33:14 - mmengine - INFO - Epoch(train) [64][55/79] lr: 6.6681e-03 eta: 5:48:52 time: 0.2003 data_time: 0.0007 memory: 1833 loss: 1.8199 loss_prob: 1.0902 loss_thr: 0.5479 loss_db: 0.1818 2022/12/19 20:33:15 - mmengine - INFO - Epoch(train) [64][60/79] lr: 6.6681e-03 eta: 5:48:47 time: 0.1988 data_time: 0.0007 memory: 1833 loss: 1.8472 loss_prob: 1.1029 loss_thr: 0.5593 loss_db: 0.1850 2022/12/19 20:33:16 - mmengine - INFO - Epoch(train) [64][65/79] lr: 6.6681e-03 eta: 5:48:46 time: 0.2136 data_time: 0.0006 memory: 1833 loss: 1.8738 loss_prob: 1.1032 loss_thr: 0.5815 loss_db: 0.1891 2022/12/19 20:33:17 - mmengine - INFO - Epoch(train) [64][70/79] lr: 6.6681e-03 eta: 5:48:44 time: 0.2320 data_time: 0.0006 memory: 1833 loss: 1.8888 loss_prob: 1.1042 loss_thr: 0.5936 loss_db: 0.1910 2022/12/19 20:33:18 - mmengine - INFO - Epoch(train) [64][75/79] lr: 6.6681e-03 eta: 5:48:42 time: 0.2232 data_time: 0.0006 memory: 1833 loss: 2.0047 loss_prob: 1.1863 loss_thr: 0.6149 loss_db: 0.2035 2022/12/19 20:33:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:33:21 - mmengine - INFO - Epoch(train) [65][5/79] lr: 6.6628e-03 eta: 5:49:01 time: 0.3461 data_time: 0.0215 memory: 1833 loss: 2.0686 loss_prob: 1.2499 loss_thr: 0.6016 loss_db: 0.2171 2022/12/19 20:33:22 - mmengine - INFO - Epoch(train) [65][10/79] lr: 6.6628e-03 eta: 5:49:00 time: 0.3632 data_time: 0.0215 memory: 1833 loss: 1.8859 loss_prob: 1.1160 loss_thr: 0.5779 loss_db: 0.1920 2022/12/19 20:33:24 - mmengine - INFO - Epoch(train) [65][15/79] lr: 6.6628e-03 eta: 5:48:57 time: 0.2218 data_time: 0.0007 memory: 1833 loss: 1.8146 loss_prob: 1.0559 loss_thr: 0.5782 loss_db: 0.1805 2022/12/19 20:33:25 - mmengine - INFO - Epoch(train) [65][20/79] lr: 6.6628e-03 eta: 5:48:55 time: 0.2193 data_time: 0.0007 memory: 1833 loss: 2.0361 loss_prob: 1.2158 loss_thr: 0.6155 loss_db: 0.2048 2022/12/19 20:33:26 - mmengine - INFO - Epoch(train) [65][25/79] lr: 6.6628e-03 eta: 5:48:52 time: 0.2183 data_time: 0.0007 memory: 1833 loss: 2.1212 loss_prob: 1.2962 loss_thr: 0.6239 loss_db: 0.2011 2022/12/19 20:33:27 - mmengine - INFO - Epoch(train) [65][30/79] lr: 6.6628e-03 eta: 5:48:52 time: 0.2250 data_time: 0.0007 memory: 1833 loss: 1.9269 loss_prob: 1.1477 loss_thr: 0.5977 loss_db: 0.1814 2022/12/19 20:33:28 - mmengine - INFO - Epoch(train) [65][35/79] lr: 6.6628e-03 eta: 5:48:48 time: 0.2251 data_time: 0.0007 memory: 1833 loss: 1.7635 loss_prob: 1.0207 loss_thr: 0.5646 loss_db: 0.1782 2022/12/19 20:33:29 - mmengine - INFO - Epoch(train) [65][40/79] lr: 6.6628e-03 eta: 5:48:43 time: 0.1960 data_time: 0.0007 memory: 1833 loss: 1.8214 loss_prob: 1.0671 loss_thr: 0.5715 loss_db: 0.1828 2022/12/19 20:33:30 - mmengine - INFO - Epoch(train) [65][45/79] lr: 6.6628e-03 eta: 5:48:40 time: 0.1986 data_time: 0.0007 memory: 1833 loss: 1.8452 loss_prob: 1.0841 loss_thr: 0.5764 loss_db: 0.1847 2022/12/19 20:33:31 - mmengine - INFO - Epoch(train) [65][50/79] lr: 6.6628e-03 eta: 5:48:38 time: 0.2181 data_time: 0.0007 memory: 1833 loss: 1.9703 loss_prob: 1.1900 loss_thr: 0.5858 loss_db: 0.1945 2022/12/19 20:33:32 - mmengine - INFO - Epoch(train) [65][55/79] lr: 6.6628e-03 eta: 5:48:34 time: 0.2133 data_time: 0.0007 memory: 1833 loss: 1.9212 loss_prob: 1.1613 loss_thr: 0.5743 loss_db: 0.1857 2022/12/19 20:33:33 - mmengine - INFO - Epoch(train) [65][60/79] lr: 6.6628e-03 eta: 5:48:31 time: 0.2071 data_time: 0.0006 memory: 1833 loss: 1.8330 loss_prob: 1.0939 loss_thr: 0.5537 loss_db: 0.1854 2022/12/19 20:33:34 - mmengine - INFO - Epoch(train) [65][65/79] lr: 6.6628e-03 eta: 5:48:28 time: 0.2123 data_time: 0.0006 memory: 1833 loss: 1.9484 loss_prob: 1.1564 loss_thr: 0.5949 loss_db: 0.1971 2022/12/19 20:33:35 - mmengine - INFO - Epoch(train) [65][70/79] lr: 6.6628e-03 eta: 5:48:26 time: 0.2194 data_time: 0.0006 memory: 1833 loss: 1.9566 loss_prob: 1.1464 loss_thr: 0.6135 loss_db: 0.1968 2022/12/19 20:33:36 - mmengine - INFO - Epoch(train) [65][75/79] lr: 6.6628e-03 eta: 5:48:24 time: 0.2263 data_time: 0.0006 memory: 1833 loss: 1.9486 loss_prob: 1.1636 loss_thr: 0.5891 loss_db: 0.1959 2022/12/19 20:33:37 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:33:40 - mmengine - INFO - Epoch(train) [66][5/79] lr: 6.6575e-03 eta: 5:48:44 time: 0.3560 data_time: 0.0218 memory: 1833 loss: 2.1445 loss_prob: 1.2914 loss_thr: 0.6413 loss_db: 0.2117 2022/12/19 20:33:41 - mmengine - INFO - Epoch(train) [66][10/79] lr: 6.6575e-03 eta: 5:48:43 time: 0.3870 data_time: 0.0219 memory: 1833 loss: 1.7950 loss_prob: 1.0468 loss_thr: 0.5719 loss_db: 0.1764 2022/12/19 20:33:42 - mmengine - INFO - Epoch(train) [66][15/79] lr: 6.6575e-03 eta: 5:48:40 time: 0.2227 data_time: 0.0007 memory: 1833 loss: 1.7645 loss_prob: 1.0320 loss_thr: 0.5573 loss_db: 0.1752 2022/12/19 20:33:43 - mmengine - INFO - Epoch(train) [66][20/79] lr: 6.6575e-03 eta: 5:48:37 time: 0.2118 data_time: 0.0007 memory: 1833 loss: 1.8471 loss_prob: 1.0911 loss_thr: 0.5708 loss_db: 0.1852 2022/12/19 20:33:44 - mmengine - INFO - Epoch(train) [66][25/79] lr: 6.6575e-03 eta: 5:48:33 time: 0.2056 data_time: 0.0007 memory: 1833 loss: 1.7634 loss_prob: 1.0143 loss_thr: 0.5782 loss_db: 0.1709 2022/12/19 20:33:45 - mmengine - INFO - Epoch(train) [66][30/79] lr: 6.6575e-03 eta: 5:48:32 time: 0.2175 data_time: 0.0007 memory: 1833 loss: 1.7006 loss_prob: 0.9695 loss_thr: 0.5682 loss_db: 0.1629 2022/12/19 20:33:46 - mmengine - INFO - Epoch(train) [66][35/79] lr: 6.6575e-03 eta: 5:48:28 time: 0.2191 data_time: 0.0007 memory: 1833 loss: 1.7569 loss_prob: 1.0145 loss_thr: 0.5702 loss_db: 0.1721 2022/12/19 20:33:48 - mmengine - INFO - Epoch(train) [66][40/79] lr: 6.6575e-03 eta: 5:48:29 time: 0.2325 data_time: 0.0007 memory: 1833 loss: 1.8664 loss_prob: 1.0919 loss_thr: 0.5897 loss_db: 0.1848 2022/12/19 20:33:49 - mmengine - INFO - Epoch(train) [66][45/79] lr: 6.6575e-03 eta: 5:48:25 time: 0.2288 data_time: 0.0008 memory: 1833 loss: 2.1304 loss_prob: 1.2845 loss_thr: 0.6290 loss_db: 0.2169 2022/12/19 20:33:50 - mmengine - INFO - Epoch(train) [66][50/79] lr: 6.6575e-03 eta: 5:48:23 time: 0.2135 data_time: 0.0007 memory: 1833 loss: 2.1112 loss_prob: 1.2665 loss_thr: 0.6290 loss_db: 0.2157 2022/12/19 20:33:51 - mmengine - INFO - Epoch(train) [66][55/79] lr: 6.6575e-03 eta: 5:48:17 time: 0.2026 data_time: 0.0006 memory: 1833 loss: 1.8117 loss_prob: 1.0539 loss_thr: 0.5790 loss_db: 0.1788 2022/12/19 20:33:52 - mmengine - INFO - Epoch(train) [66][60/79] lr: 6.6575e-03 eta: 5:48:13 time: 0.1857 data_time: 0.0006 memory: 1833 loss: 2.0762 loss_prob: 1.3005 loss_thr: 0.5762 loss_db: 0.1995 2022/12/19 20:33:53 - mmengine - INFO - Epoch(train) [66][65/79] lr: 6.6575e-03 eta: 5:48:13 time: 0.2193 data_time: 0.0009 memory: 1833 loss: 2.2456 loss_prob: 1.4292 loss_thr: 0.5946 loss_db: 0.2218 2022/12/19 20:33:54 - mmengine - INFO - Epoch(train) [66][70/79] lr: 6.6575e-03 eta: 5:48:09 time: 0.2242 data_time: 0.0009 memory: 1833 loss: 2.1108 loss_prob: 1.2945 loss_thr: 0.5945 loss_db: 0.2219 2022/12/19 20:33:55 - mmengine - INFO - Epoch(train) [66][75/79] lr: 6.6575e-03 eta: 5:48:05 time: 0.2024 data_time: 0.0005 memory: 1833 loss: 2.0348 loss_prob: 1.2295 loss_thr: 0.5947 loss_db: 0.2107 2022/12/19 20:33:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:33:58 - mmengine - INFO - Epoch(train) [67][5/79] lr: 6.6522e-03 eta: 5:48:21 time: 0.3345 data_time: 0.0846 memory: 1833 loss: 1.7631 loss_prob: 1.0307 loss_thr: 0.5572 loss_db: 0.1752 2022/12/19 20:33:59 - mmengine - INFO - Epoch(train) [67][10/79] lr: 6.6522e-03 eta: 5:48:18 time: 0.3420 data_time: 0.0846 memory: 1833 loss: 1.8577 loss_prob: 1.0980 loss_thr: 0.5726 loss_db: 0.1871 2022/12/19 20:34:00 - mmengine - INFO - Epoch(train) [67][15/79] lr: 6.6522e-03 eta: 5:48:16 time: 0.2175 data_time: 0.0007 memory: 1833 loss: 1.9227 loss_prob: 1.1527 loss_thr: 0.5745 loss_db: 0.1955 2022/12/19 20:34:01 - mmengine - INFO - Epoch(train) [67][20/79] lr: 6.6522e-03 eta: 5:48:13 time: 0.2161 data_time: 0.0007 memory: 1833 loss: 2.0242 loss_prob: 1.2023 loss_thr: 0.6177 loss_db: 0.2042 2022/12/19 20:34:02 - mmengine - INFO - Epoch(train) [67][25/79] lr: 6.6522e-03 eta: 5:48:11 time: 0.2202 data_time: 0.0007 memory: 1833 loss: 2.0307 loss_prob: 1.2023 loss_thr: 0.6208 loss_db: 0.2076 2022/12/19 20:34:03 - mmengine - INFO - Epoch(train) [67][30/79] lr: 6.6522e-03 eta: 5:48:09 time: 0.2244 data_time: 0.0007 memory: 1833 loss: 1.8712 loss_prob: 1.0918 loss_thr: 0.5907 loss_db: 0.1887 2022/12/19 20:34:05 - mmengine - INFO - Epoch(train) [67][35/79] lr: 6.6522e-03 eta: 5:48:07 time: 0.2205 data_time: 0.0007 memory: 1833 loss: 1.8264 loss_prob: 1.0724 loss_thr: 0.5719 loss_db: 0.1821 2022/12/19 20:34:06 - mmengine - INFO - Epoch(train) [67][40/79] lr: 6.6522e-03 eta: 5:48:04 time: 0.2173 data_time: 0.0007 memory: 1833 loss: 1.7693 loss_prob: 1.0500 loss_thr: 0.5395 loss_db: 0.1798 2022/12/19 20:34:07 - mmengine - INFO - Epoch(train) [67][45/79] lr: 6.6522e-03 eta: 5:48:01 time: 0.2159 data_time: 0.0007 memory: 1833 loss: 1.7854 loss_prob: 1.0379 loss_thr: 0.5688 loss_db: 0.1787 2022/12/19 20:34:08 - mmengine - INFO - Epoch(train) [67][50/79] lr: 6.6522e-03 eta: 5:48:00 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 1.9489 loss_prob: 1.1498 loss_thr: 0.6070 loss_db: 0.1922 2022/12/19 20:34:09 - mmengine - INFO - Epoch(train) [67][55/79] lr: 6.6522e-03 eta: 5:47:56 time: 0.2149 data_time: 0.0006 memory: 1833 loss: 1.9920 loss_prob: 1.1859 loss_thr: 0.6058 loss_db: 0.2004 2022/12/19 20:34:10 - mmengine - INFO - Epoch(train) [67][60/79] lr: 6.6522e-03 eta: 5:47:54 time: 0.2129 data_time: 0.0006 memory: 1833 loss: 1.8915 loss_prob: 1.1092 loss_thr: 0.5889 loss_db: 0.1933 2022/12/19 20:34:11 - mmengine - INFO - Epoch(train) [67][65/79] lr: 6.6522e-03 eta: 5:47:50 time: 0.2109 data_time: 0.0006 memory: 1833 loss: 1.9402 loss_prob: 1.1392 loss_thr: 0.6044 loss_db: 0.1966 2022/12/19 20:34:12 - mmengine - INFO - Epoch(train) [67][70/79] lr: 6.6522e-03 eta: 5:47:48 time: 0.2127 data_time: 0.0006 memory: 1833 loss: 1.8061 loss_prob: 1.0416 loss_thr: 0.5867 loss_db: 0.1777 2022/12/19 20:34:13 - mmengine - INFO - Epoch(train) [67][75/79] lr: 6.6522e-03 eta: 5:47:46 time: 0.2238 data_time: 0.0007 memory: 1833 loss: 1.6028 loss_prob: 0.8980 loss_thr: 0.5479 loss_db: 0.1569 2022/12/19 20:34:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:34:16 - mmengine - INFO - Epoch(train) [68][5/79] lr: 6.6470e-03 eta: 5:47:56 time: 0.3091 data_time: 0.0568 memory: 1833 loss: 1.7181 loss_prob: 0.9954 loss_thr: 0.5502 loss_db: 0.1725 2022/12/19 20:34:17 - mmengine - INFO - Epoch(train) [68][10/79] lr: 6.6470e-03 eta: 5:47:53 time: 0.3024 data_time: 0.0568 memory: 1833 loss: 1.7878 loss_prob: 1.0553 loss_thr: 0.5539 loss_db: 0.1786 2022/12/19 20:34:18 - mmengine - INFO - Epoch(train) [68][15/79] lr: 6.6470e-03 eta: 5:47:49 time: 0.2041 data_time: 0.0008 memory: 1833 loss: 1.9186 loss_prob: 1.1496 loss_thr: 0.5761 loss_db: 0.1928 2022/12/19 20:34:19 - mmengine - INFO - Epoch(train) [68][20/79] lr: 6.6470e-03 eta: 5:47:46 time: 0.2049 data_time: 0.0007 memory: 1833 loss: 2.0005 loss_prob: 1.1914 loss_thr: 0.6090 loss_db: 0.2000 2022/12/19 20:34:21 - mmengine - INFO - Epoch(train) [68][25/79] lr: 6.6470e-03 eta: 5:47:48 time: 0.2416 data_time: 0.0007 memory: 1833 loss: 1.9313 loss_prob: 1.1354 loss_thr: 0.6030 loss_db: 0.1929 2022/12/19 20:34:22 - mmengine - INFO - Epoch(train) [68][30/79] lr: 6.6470e-03 eta: 5:47:48 time: 0.2569 data_time: 0.0007 memory: 1833 loss: 1.8612 loss_prob: 1.0816 loss_thr: 0.5945 loss_db: 0.1851 2022/12/19 20:34:23 - mmengine - INFO - Epoch(train) [68][35/79] lr: 6.6470e-03 eta: 5:47:47 time: 0.2413 data_time: 0.0007 memory: 1833 loss: 1.8994 loss_prob: 1.1055 loss_thr: 0.6064 loss_db: 0.1876 2022/12/19 20:34:24 - mmengine - INFO - Epoch(train) [68][40/79] lr: 6.6470e-03 eta: 5:47:43 time: 0.2182 data_time: 0.0007 memory: 1833 loss: 1.9786 loss_prob: 1.1822 loss_thr: 0.6031 loss_db: 0.1932 2022/12/19 20:34:25 - mmengine - INFO - Epoch(train) [68][45/79] lr: 6.6470e-03 eta: 5:47:41 time: 0.2077 data_time: 0.0007 memory: 1833 loss: 2.0315 loss_prob: 1.2247 loss_thr: 0.6068 loss_db: 0.2000 2022/12/19 20:34:26 - mmengine - INFO - Epoch(train) [68][50/79] lr: 6.6470e-03 eta: 5:47:37 time: 0.2114 data_time: 0.0007 memory: 1833 loss: 1.9432 loss_prob: 1.1544 loss_thr: 0.5917 loss_db: 0.1971 2022/12/19 20:34:27 - mmengine - INFO - Epoch(train) [68][55/79] lr: 6.6470e-03 eta: 5:47:34 time: 0.2097 data_time: 0.0007 memory: 1833 loss: 1.9367 loss_prob: 1.1419 loss_thr: 0.6002 loss_db: 0.1946 2022/12/19 20:34:29 - mmengine - INFO - Epoch(train) [68][60/79] lr: 6.6470e-03 eta: 5:47:39 time: 0.2614 data_time: 0.0008 memory: 1833 loss: 1.9956 loss_prob: 1.1696 loss_thr: 0.6273 loss_db: 0.1987 2022/12/19 20:34:30 - mmengine - INFO - Epoch(train) [68][65/79] lr: 6.6470e-03 eta: 5:47:38 time: 0.2691 data_time: 0.0012 memory: 1833 loss: 1.8859 loss_prob: 1.1171 loss_thr: 0.5775 loss_db: 0.1913 2022/12/19 20:34:31 - mmengine - INFO - Epoch(train) [68][70/79] lr: 6.6470e-03 eta: 5:47:35 time: 0.2221 data_time: 0.0011 memory: 1833 loss: 1.8473 loss_prob: 1.0961 loss_thr: 0.5612 loss_db: 0.1900 2022/12/19 20:34:32 - mmengine - INFO - Epoch(train) [68][75/79] lr: 6.6470e-03 eta: 5:47:30 time: 0.2008 data_time: 0.0007 memory: 1833 loss: 1.8760 loss_prob: 1.1087 loss_thr: 0.5744 loss_db: 0.1930 2022/12/19 20:34:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:34:35 - mmengine - INFO - Epoch(train) [69][5/79] lr: 6.6417e-03 eta: 5:47:48 time: 0.3465 data_time: 0.0489 memory: 1833 loss: 1.8952 loss_prob: 1.1243 loss_thr: 0.5784 loss_db: 0.1924 2022/12/19 20:34:36 - mmengine - INFO - Epoch(train) [69][10/79] lr: 6.6417e-03 eta: 5:47:47 time: 0.3787 data_time: 0.0490 memory: 1833 loss: 1.7844 loss_prob: 1.0347 loss_thr: 0.5711 loss_db: 0.1786 2022/12/19 20:34:37 - mmengine - INFO - Epoch(train) [69][15/79] lr: 6.6417e-03 eta: 5:47:47 time: 0.2394 data_time: 0.0008 memory: 1833 loss: 1.7240 loss_prob: 0.9988 loss_thr: 0.5521 loss_db: 0.1732 2022/12/19 20:34:39 - mmengine - INFO - Epoch(train) [69][20/79] lr: 6.6417e-03 eta: 5:47:44 time: 0.2291 data_time: 0.0008 memory: 1833 loss: 1.7737 loss_prob: 1.0383 loss_thr: 0.5601 loss_db: 0.1754 2022/12/19 20:34:40 - mmengine - INFO - Epoch(train) [69][25/79] lr: 6.6417e-03 eta: 5:47:42 time: 0.2197 data_time: 0.0008 memory: 1833 loss: 1.7848 loss_prob: 1.0358 loss_thr: 0.5722 loss_db: 0.1768 2022/12/19 20:34:41 - mmengine - INFO - Epoch(train) [69][30/79] lr: 6.6417e-03 eta: 5:47:39 time: 0.2170 data_time: 0.0008 memory: 1833 loss: 1.7882 loss_prob: 1.0222 loss_thr: 0.5886 loss_db: 0.1773 2022/12/19 20:34:42 - mmengine - INFO - Epoch(train) [69][35/79] lr: 6.6417e-03 eta: 5:47:38 time: 0.2224 data_time: 0.0008 memory: 1833 loss: 1.8045 loss_prob: 1.0398 loss_thr: 0.5858 loss_db: 0.1788 2022/12/19 20:34:43 - mmengine - INFO - Epoch(train) [69][40/79] lr: 6.6417e-03 eta: 5:47:36 time: 0.2277 data_time: 0.0007 memory: 1833 loss: 1.7442 loss_prob: 1.0214 loss_thr: 0.5501 loss_db: 0.1728 2022/12/19 20:34:44 - mmengine - INFO - Epoch(train) [69][45/79] lr: 6.6417e-03 eta: 5:47:40 time: 0.2580 data_time: 0.0009 memory: 1833 loss: 1.7389 loss_prob: 1.0179 loss_thr: 0.5465 loss_db: 0.1745 2022/12/19 20:34:46 - mmengine - INFO - Epoch(train) [69][50/79] lr: 6.6417e-03 eta: 5:47:38 time: 0.2582 data_time: 0.0009 memory: 1833 loss: 1.8027 loss_prob: 1.0503 loss_thr: 0.5680 loss_db: 0.1843 2022/12/19 20:34:47 - mmengine - INFO - Epoch(train) [69][55/79] lr: 6.6417e-03 eta: 5:47:37 time: 0.2339 data_time: 0.0008 memory: 1833 loss: 1.8871 loss_prob: 1.1159 loss_thr: 0.5787 loss_db: 0.1926 2022/12/19 20:34:48 - mmengine - INFO - Epoch(train) [69][60/79] lr: 6.6417e-03 eta: 5:47:37 time: 0.2424 data_time: 0.0007 memory: 1833 loss: 1.9660 loss_prob: 1.1757 loss_thr: 0.5903 loss_db: 0.1999 2022/12/19 20:34:49 - mmengine - INFO - Epoch(train) [69][65/79] lr: 6.6417e-03 eta: 5:47:33 time: 0.2229 data_time: 0.0007 memory: 1833 loss: 2.0056 loss_prob: 1.2066 loss_thr: 0.5916 loss_db: 0.2075 2022/12/19 20:34:50 - mmengine - INFO - Epoch(train) [69][70/79] lr: 6.6417e-03 eta: 5:47:29 time: 0.2016 data_time: 0.0008 memory: 1833 loss: 1.9920 loss_prob: 1.1817 loss_thr: 0.6053 loss_db: 0.2050 2022/12/19 20:34:51 - mmengine - INFO - Epoch(train) [69][75/79] lr: 6.6417e-03 eta: 5:47:26 time: 0.2060 data_time: 0.0011 memory: 1833 loss: 1.8455 loss_prob: 1.0699 loss_thr: 0.5918 loss_db: 0.1838 2022/12/19 20:34:52 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:34:54 - mmengine - INFO - Epoch(train) [70][5/79] lr: 6.6364e-03 eta: 5:47:36 time: 0.2984 data_time: 0.0885 memory: 1833 loss: 1.9070 loss_prob: 1.1382 loss_thr: 0.5766 loss_db: 0.1922 2022/12/19 20:34:55 - mmengine - INFO - Epoch(train) [70][10/79] lr: 6.6364e-03 eta: 5:47:34 time: 0.3112 data_time: 0.0880 memory: 1833 loss: 1.9764 loss_prob: 1.1670 loss_thr: 0.6109 loss_db: 0.1985 2022/12/19 20:34:56 - mmengine - INFO - Epoch(train) [70][15/79] lr: 6.6364e-03 eta: 5:47:32 time: 0.2245 data_time: 0.0007 memory: 1833 loss: 1.8191 loss_prob: 1.0444 loss_thr: 0.5939 loss_db: 0.1808 2022/12/19 20:34:57 - mmengine - INFO - Epoch(train) [70][20/79] lr: 6.6364e-03 eta: 5:47:28 time: 0.2136 data_time: 0.0007 memory: 1833 loss: 1.8463 loss_prob: 1.0930 loss_thr: 0.5660 loss_db: 0.1872 2022/12/19 20:34:58 - mmengine - INFO - Epoch(train) [70][25/79] lr: 6.6364e-03 eta: 5:47:25 time: 0.2052 data_time: 0.0008 memory: 1833 loss: 2.0320 loss_prob: 1.2293 loss_thr: 0.5973 loss_db: 0.2053 2022/12/19 20:35:00 - mmengine - INFO - Epoch(train) [70][30/79] lr: 6.6364e-03 eta: 5:47:27 time: 0.2397 data_time: 0.0007 memory: 1833 loss: 2.0202 loss_prob: 1.2029 loss_thr: 0.6167 loss_db: 0.2006 2022/12/19 20:35:01 - mmengine - INFO - Epoch(train) [70][35/79] lr: 6.6364e-03 eta: 5:47:28 time: 0.2694 data_time: 0.0010 memory: 1833 loss: 1.8859 loss_prob: 1.0936 loss_thr: 0.6054 loss_db: 0.1869 2022/12/19 20:35:02 - mmengine - INFO - Epoch(train) [70][40/79] lr: 6.6364e-03 eta: 5:47:28 time: 0.2533 data_time: 0.0010 memory: 1833 loss: 1.9579 loss_prob: 1.1607 loss_thr: 0.5964 loss_db: 0.2008 2022/12/19 20:35:03 - mmengine - INFO - Epoch(train) [70][45/79] lr: 6.6364e-03 eta: 5:47:27 time: 0.2366 data_time: 0.0008 memory: 1833 loss: 2.0444 loss_prob: 1.2462 loss_thr: 0.5887 loss_db: 0.2094 2022/12/19 20:35:04 - mmengine - INFO - Epoch(train) [70][50/79] lr: 6.6364e-03 eta: 5:47:26 time: 0.2348 data_time: 0.0008 memory: 1833 loss: 2.0173 loss_prob: 1.2111 loss_thr: 0.6047 loss_db: 0.2016 2022/12/19 20:35:06 - mmengine - INFO - Epoch(train) [70][55/79] lr: 6.6364e-03 eta: 5:47:24 time: 0.2346 data_time: 0.0008 memory: 1833 loss: 1.8782 loss_prob: 1.0933 loss_thr: 0.5959 loss_db: 0.1890 2022/12/19 20:35:07 - mmengine - INFO - Epoch(train) [70][60/79] lr: 6.6364e-03 eta: 5:47:22 time: 0.2226 data_time: 0.0007 memory: 1833 loss: 1.7910 loss_prob: 1.0440 loss_thr: 0.5713 loss_db: 0.1758 2022/12/19 20:35:08 - mmengine - INFO - Epoch(train) [70][65/79] lr: 6.6364e-03 eta: 5:47:17 time: 0.2041 data_time: 0.0007 memory: 1833 loss: 1.9428 loss_prob: 1.1578 loss_thr: 0.5935 loss_db: 0.1915 2022/12/19 20:35:09 - mmengine - INFO - Epoch(train) [70][70/79] lr: 6.6364e-03 eta: 5:47:16 time: 0.2144 data_time: 0.0007 memory: 1833 loss: 1.9423 loss_prob: 1.1497 loss_thr: 0.5985 loss_db: 0.1941 2022/12/19 20:35:10 - mmengine - INFO - Epoch(train) [70][75/79] lr: 6.6364e-03 eta: 5:47:12 time: 0.2151 data_time: 0.0006 memory: 1833 loss: 1.9186 loss_prob: 1.1372 loss_thr: 0.5892 loss_db: 0.1922 2022/12/19 20:35:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:35:12 - mmengine - INFO - Epoch(train) [71][5/79] lr: 6.6311e-03 eta: 5:47:16 time: 0.2629 data_time: 0.0578 memory: 1833 loss: 1.7602 loss_prob: 1.0146 loss_thr: 0.5729 loss_db: 0.1728 2022/12/19 20:35:13 - mmengine - INFO - Epoch(train) [71][10/79] lr: 6.6311e-03 eta: 5:47:13 time: 0.2749 data_time: 0.0579 memory: 1833 loss: 1.7982 loss_prob: 1.0383 loss_thr: 0.5809 loss_db: 0.1790 2022/12/19 20:35:14 - mmengine - INFO - Epoch(train) [71][15/79] lr: 6.6311e-03 eta: 5:47:10 time: 0.2133 data_time: 0.0007 memory: 1833 loss: 1.8337 loss_prob: 1.0781 loss_thr: 0.5714 loss_db: 0.1842 2022/12/19 20:35:16 - mmengine - INFO - Epoch(train) [71][20/79] lr: 6.6311e-03 eta: 5:47:12 time: 0.2432 data_time: 0.0008 memory: 1833 loss: 1.8166 loss_prob: 1.0686 loss_thr: 0.5650 loss_db: 0.1830 2022/12/19 20:35:17 - mmengine - INFO - Epoch(train) [71][25/79] lr: 6.6311e-03 eta: 5:47:15 time: 0.2782 data_time: 0.0009 memory: 1833 loss: 1.7967 loss_prob: 1.0580 loss_thr: 0.5562 loss_db: 0.1825 2022/12/19 20:35:18 - mmengine - INFO - Epoch(train) [71][30/79] lr: 6.6311e-03 eta: 5:47:13 time: 0.2536 data_time: 0.0008 memory: 1833 loss: 1.9209 loss_prob: 1.1525 loss_thr: 0.5723 loss_db: 0.1961 2022/12/19 20:35:20 - mmengine - INFO - Epoch(train) [71][35/79] lr: 6.6311e-03 eta: 5:47:13 time: 0.2325 data_time: 0.0007 memory: 1833 loss: 2.0915 loss_prob: 1.2619 loss_thr: 0.6134 loss_db: 0.2162 2022/12/19 20:35:21 - mmengine - INFO - Epoch(train) [71][40/79] lr: 6.6311e-03 eta: 5:47:10 time: 0.2318 data_time: 0.0008 memory: 1833 loss: 2.0891 loss_prob: 1.2345 loss_thr: 0.6442 loss_db: 0.2104 2022/12/19 20:35:22 - mmengine - INFO - Epoch(train) [71][45/79] lr: 6.6311e-03 eta: 5:47:08 time: 0.2178 data_time: 0.0008 memory: 1833 loss: 2.0024 loss_prob: 1.1802 loss_thr: 0.6217 loss_db: 0.2004 2022/12/19 20:35:23 - mmengine - INFO - Epoch(train) [71][50/79] lr: 6.6311e-03 eta: 5:47:06 time: 0.2202 data_time: 0.0008 memory: 1833 loss: 1.8592 loss_prob: 1.0755 loss_thr: 0.5966 loss_db: 0.1871 2022/12/19 20:35:24 - mmengine - INFO - Epoch(train) [71][55/79] lr: 6.6311e-03 eta: 5:47:02 time: 0.2116 data_time: 0.0007 memory: 1833 loss: 1.8691 loss_prob: 1.0885 loss_thr: 0.5923 loss_db: 0.1883 2022/12/19 20:35:25 - mmengine - INFO - Epoch(train) [71][60/79] lr: 6.6311e-03 eta: 5:47:01 time: 0.2190 data_time: 0.0006 memory: 1833 loss: 1.8475 loss_prob: 1.1014 loss_thr: 0.5569 loss_db: 0.1892 2022/12/19 20:35:26 - mmengine - INFO - Epoch(train) [71][65/79] lr: 6.6311e-03 eta: 5:47:02 time: 0.2440 data_time: 0.0006 memory: 1833 loss: 1.9747 loss_prob: 1.1979 loss_thr: 0.5734 loss_db: 0.2034 2022/12/19 20:35:27 - mmengine - INFO - Epoch(train) [71][70/79] lr: 6.6311e-03 eta: 5:46:57 time: 0.2224 data_time: 0.0006 memory: 1833 loss: 2.0329 loss_prob: 1.2340 loss_thr: 0.5933 loss_db: 0.2056 2022/12/19 20:35:28 - mmengine - INFO - Epoch(train) [71][75/79] lr: 6.6311e-03 eta: 5:46:54 time: 0.2035 data_time: 0.0006 memory: 1833 loss: 1.9400 loss_prob: 1.1499 loss_thr: 0.5941 loss_db: 0.1960 2022/12/19 20:35:29 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:35:31 - mmengine - INFO - Epoch(train) [72][5/79] lr: 6.6258e-03 eta: 5:46:57 time: 0.2606 data_time: 0.0347 memory: 1833 loss: 1.8683 loss_prob: 1.1024 loss_thr: 0.5814 loss_db: 0.1845 2022/12/19 20:35:32 - mmengine - INFO - Epoch(train) [72][10/79] lr: 6.6258e-03 eta: 5:46:59 time: 0.3056 data_time: 0.0349 memory: 1833 loss: 2.1173 loss_prob: 1.2923 loss_thr: 0.6072 loss_db: 0.2178 2022/12/19 20:35:33 - mmengine - INFO - Epoch(train) [72][15/79] lr: 6.6258e-03 eta: 5:46:56 time: 0.2430 data_time: 0.0009 memory: 1833 loss: 2.0375 loss_prob: 1.2271 loss_thr: 0.6026 loss_db: 0.2079 2022/12/19 20:35:34 - mmengine - INFO - Epoch(train) [72][20/79] lr: 6.6258e-03 eta: 5:46:53 time: 0.2121 data_time: 0.0008 memory: 1833 loss: 1.8685 loss_prob: 1.0920 loss_thr: 0.5925 loss_db: 0.1840 2022/12/19 20:35:35 - mmengine - INFO - Epoch(train) [72][25/79] lr: 6.6258e-03 eta: 5:46:51 time: 0.2195 data_time: 0.0007 memory: 1833 loss: 1.7935 loss_prob: 1.0454 loss_thr: 0.5719 loss_db: 0.1763 2022/12/19 20:35:36 - mmengine - INFO - Epoch(train) [72][30/79] lr: 6.6258e-03 eta: 5:46:49 time: 0.2206 data_time: 0.0008 memory: 1833 loss: 1.8314 loss_prob: 1.0647 loss_thr: 0.5868 loss_db: 0.1799 2022/12/19 20:35:38 - mmengine - INFO - Epoch(train) [72][35/79] lr: 6.6258e-03 eta: 5:46:47 time: 0.2227 data_time: 0.0008 memory: 1833 loss: 1.9373 loss_prob: 1.1380 loss_thr: 0.6036 loss_db: 0.1957 2022/12/19 20:35:38 - mmengine - INFO - Epoch(train) [72][40/79] lr: 6.6258e-03 eta: 5:46:43 time: 0.2118 data_time: 0.0008 memory: 1833 loss: 1.8414 loss_prob: 1.0745 loss_thr: 0.5808 loss_db: 0.1861 2022/12/19 20:35:40 - mmengine - INFO - Epoch(train) [72][45/79] lr: 6.6258e-03 eta: 5:46:41 time: 0.2096 data_time: 0.0008 memory: 1833 loss: 1.7251 loss_prob: 0.9942 loss_thr: 0.5619 loss_db: 0.1690 2022/12/19 20:35:41 - mmengine - INFO - Epoch(train) [72][50/79] lr: 6.6258e-03 eta: 5:46:42 time: 0.2388 data_time: 0.0007 memory: 1833 loss: 1.6865 loss_prob: 0.9660 loss_thr: 0.5570 loss_db: 0.1635 2022/12/19 20:35:42 - mmengine - INFO - Epoch(train) [72][55/79] lr: 6.6258e-03 eta: 5:46:40 time: 0.2368 data_time: 0.0006 memory: 1833 loss: 1.8083 loss_prob: 1.0562 loss_thr: 0.5749 loss_db: 0.1772 2022/12/19 20:35:43 - mmengine - INFO - Epoch(train) [72][60/79] lr: 6.6258e-03 eta: 5:46:40 time: 0.2370 data_time: 0.0006 memory: 1833 loss: 1.8348 loss_prob: 1.0800 loss_thr: 0.5737 loss_db: 0.1811 2022/12/19 20:35:44 - mmengine - INFO - Epoch(train) [72][65/79] lr: 6.6258e-03 eta: 5:46:36 time: 0.2268 data_time: 0.0006 memory: 1833 loss: 1.8598 loss_prob: 1.0858 loss_thr: 0.5881 loss_db: 0.1859 2022/12/19 20:35:45 - mmengine - INFO - Epoch(train) [72][70/79] lr: 6.6258e-03 eta: 5:46:33 time: 0.2012 data_time: 0.0006 memory: 1833 loss: 1.8626 loss_prob: 1.0850 loss_thr: 0.5899 loss_db: 0.1878 2022/12/19 20:35:46 - mmengine - INFO - Epoch(train) [72][75/79] lr: 6.6258e-03 eta: 5:46:29 time: 0.2042 data_time: 0.0006 memory: 1833 loss: 1.7123 loss_prob: 0.9799 loss_thr: 0.5636 loss_db: 0.1688 2022/12/19 20:35:47 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:35:49 - mmengine - INFO - Epoch(train) [73][5/79] lr: 6.6205e-03 eta: 5:46:44 time: 0.3392 data_time: 0.1292 memory: 1833 loss: 1.7527 loss_prob: 1.0290 loss_thr: 0.5482 loss_db: 0.1755 2022/12/19 20:35:51 - mmengine - INFO - Epoch(train) [73][10/79] lr: 6.6205e-03 eta: 5:46:43 time: 0.3616 data_time: 0.1293 memory: 1833 loss: 1.6987 loss_prob: 0.9907 loss_thr: 0.5392 loss_db: 0.1688 2022/12/19 20:35:52 - mmengine - INFO - Epoch(train) [73][15/79] lr: 6.6205e-03 eta: 5:46:41 time: 0.2293 data_time: 0.0008 memory: 1833 loss: 1.6992 loss_prob: 0.9689 loss_thr: 0.5632 loss_db: 0.1671 2022/12/19 20:35:53 - mmengine - INFO - Epoch(train) [73][20/79] lr: 6.6205e-03 eta: 5:46:39 time: 0.2263 data_time: 0.0007 memory: 1833 loss: 1.8079 loss_prob: 1.0514 loss_thr: 0.5772 loss_db: 0.1793 2022/12/19 20:35:54 - mmengine - INFO - Epoch(train) [73][25/79] lr: 6.6205e-03 eta: 5:46:36 time: 0.2193 data_time: 0.0008 memory: 1833 loss: 1.7957 loss_prob: 1.0478 loss_thr: 0.5713 loss_db: 0.1766 2022/12/19 20:35:55 - mmengine - INFO - Epoch(train) [73][30/79] lr: 6.6205e-03 eta: 5:46:34 time: 0.2157 data_time: 0.0008 memory: 1833 loss: 1.7325 loss_prob: 0.9981 loss_thr: 0.5659 loss_db: 0.1685 2022/12/19 20:35:56 - mmengine - INFO - Epoch(train) [73][35/79] lr: 6.6205e-03 eta: 5:46:32 time: 0.2223 data_time: 0.0008 memory: 1833 loss: 1.6698 loss_prob: 0.9511 loss_thr: 0.5570 loss_db: 0.1617 2022/12/19 20:35:57 - mmengine - INFO - Epoch(train) [73][40/79] lr: 6.6205e-03 eta: 5:46:28 time: 0.2069 data_time: 0.0008 memory: 1833 loss: 1.7789 loss_prob: 1.0229 loss_thr: 0.5820 loss_db: 0.1740 2022/12/19 20:35:58 - mmengine - INFO - Epoch(train) [73][45/79] lr: 6.6205e-03 eta: 5:46:24 time: 0.1964 data_time: 0.0008 memory: 1833 loss: 1.9830 loss_prob: 1.1806 loss_thr: 0.5985 loss_db: 0.2039 2022/12/19 20:35:59 - mmengine - INFO - Epoch(train) [73][50/79] lr: 6.6205e-03 eta: 5:46:21 time: 0.2053 data_time: 0.0007 memory: 1833 loss: 1.9348 loss_prob: 1.1567 loss_thr: 0.5761 loss_db: 0.2020 2022/12/19 20:36:00 - mmengine - INFO - Epoch(train) [73][55/79] lr: 6.6205e-03 eta: 5:46:19 time: 0.2178 data_time: 0.0006 memory: 1833 loss: 1.8176 loss_prob: 1.0803 loss_thr: 0.5513 loss_db: 0.1860 2022/12/19 20:36:02 - mmengine - INFO - Epoch(train) [73][60/79] lr: 6.6205e-03 eta: 5:46:18 time: 0.2309 data_time: 0.0006 memory: 1833 loss: 1.8302 loss_prob: 1.0909 loss_thr: 0.5551 loss_db: 0.1842 2022/12/19 20:36:02 - mmengine - INFO - Epoch(train) [73][65/79] lr: 6.6205e-03 eta: 5:46:14 time: 0.2126 data_time: 0.0006 memory: 1833 loss: 1.9270 loss_prob: 1.1570 loss_thr: 0.5754 loss_db: 0.1946 2022/12/19 20:36:03 - mmengine - INFO - Epoch(train) [73][70/79] lr: 6.6205e-03 eta: 5:46:11 time: 0.1973 data_time: 0.0006 memory: 1833 loss: 1.9120 loss_prob: 1.1534 loss_thr: 0.5638 loss_db: 0.1948 2022/12/19 20:36:05 - mmengine - INFO - Epoch(train) [73][75/79] lr: 6.6205e-03 eta: 5:46:12 time: 0.2379 data_time: 0.0011 memory: 1833 loss: 1.8303 loss_prob: 1.0700 loss_thr: 0.5774 loss_db: 0.1829 2022/12/19 20:36:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:36:07 - mmengine - INFO - Epoch(train) [74][5/79] lr: 6.6152e-03 eta: 5:46:17 time: 0.2783 data_time: 0.0438 memory: 1833 loss: 1.6357 loss_prob: 0.9467 loss_thr: 0.5243 loss_db: 0.1647 2022/12/19 20:36:09 - mmengine - INFO - Epoch(train) [74][10/79] lr: 6.6152e-03 eta: 5:46:16 time: 0.3085 data_time: 0.0436 memory: 1833 loss: 1.8249 loss_prob: 1.0801 loss_thr: 0.5602 loss_db: 0.1845 2022/12/19 20:36:10 - mmengine - INFO - Epoch(train) [74][15/79] lr: 6.6152e-03 eta: 5:46:14 time: 0.2303 data_time: 0.0007 memory: 1833 loss: 1.9441 loss_prob: 1.1641 loss_thr: 0.5852 loss_db: 0.1949 2022/12/19 20:36:11 - mmengine - INFO - Epoch(train) [74][20/79] lr: 6.6152e-03 eta: 5:46:14 time: 0.2332 data_time: 0.0007 memory: 1833 loss: 1.7993 loss_prob: 1.0503 loss_thr: 0.5684 loss_db: 0.1805 2022/12/19 20:36:12 - mmengine - INFO - Epoch(train) [74][25/79] lr: 6.6152e-03 eta: 5:46:14 time: 0.2460 data_time: 0.0007 memory: 1833 loss: 1.7572 loss_prob: 1.0155 loss_thr: 0.5630 loss_db: 0.1788 2022/12/19 20:36:13 - mmengine - INFO - Epoch(train) [74][30/79] lr: 6.6152e-03 eta: 5:46:13 time: 0.2411 data_time: 0.0007 memory: 1833 loss: 1.8124 loss_prob: 1.0646 loss_thr: 0.5640 loss_db: 0.1838 2022/12/19 20:36:14 - mmengine - INFO - Epoch(train) [74][35/79] lr: 6.6152e-03 eta: 5:46:11 time: 0.2276 data_time: 0.0007 memory: 1833 loss: 1.8004 loss_prob: 1.0604 loss_thr: 0.5625 loss_db: 0.1775 2022/12/19 20:36:16 - mmengine - INFO - Epoch(train) [74][40/79] lr: 6.6152e-03 eta: 5:46:09 time: 0.2264 data_time: 0.0007 memory: 1833 loss: 1.6962 loss_prob: 0.9852 loss_thr: 0.5442 loss_db: 0.1668 2022/12/19 20:36:17 - mmengine - INFO - Epoch(train) [74][45/79] lr: 6.6152e-03 eta: 5:46:05 time: 0.2107 data_time: 0.0007 memory: 1833 loss: 1.7407 loss_prob: 1.0056 loss_thr: 0.5624 loss_db: 0.1727 2022/12/19 20:36:18 - mmengine - INFO - Epoch(train) [74][50/79] lr: 6.6152e-03 eta: 5:46:02 time: 0.1995 data_time: 0.0007 memory: 1833 loss: 1.7191 loss_prob: 0.9916 loss_thr: 0.5592 loss_db: 0.1683 2022/12/19 20:36:19 - mmengine - INFO - Epoch(train) [74][55/79] lr: 6.6152e-03 eta: 5:45:59 time: 0.2100 data_time: 0.0006 memory: 1833 loss: 1.7982 loss_prob: 1.0507 loss_thr: 0.5727 loss_db: 0.1748 2022/12/19 20:36:20 - mmengine - INFO - Epoch(train) [74][60/79] lr: 6.6152e-03 eta: 5:45:57 time: 0.2164 data_time: 0.0006 memory: 1833 loss: 1.8906 loss_prob: 1.1139 loss_thr: 0.5895 loss_db: 0.1872 2022/12/19 20:36:21 - mmengine - INFO - Epoch(train) [74][65/79] lr: 6.6152e-03 eta: 5:45:54 time: 0.2180 data_time: 0.0007 memory: 1833 loss: 1.8135 loss_prob: 1.0665 loss_thr: 0.5654 loss_db: 0.1817 2022/12/19 20:36:22 - mmengine - INFO - Epoch(train) [74][70/79] lr: 6.6152e-03 eta: 5:45:54 time: 0.2319 data_time: 0.0008 memory: 1833 loss: 1.8232 loss_prob: 1.0838 loss_thr: 0.5561 loss_db: 0.1833 2022/12/19 20:36:23 - mmengine - INFO - Epoch(train) [74][75/79] lr: 6.6152e-03 eta: 5:45:50 time: 0.2222 data_time: 0.0006 memory: 1833 loss: 1.8848 loss_prob: 1.1047 loss_thr: 0.5911 loss_db: 0.1890 2022/12/19 20:36:24 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:36:25 - mmengine - INFO - Epoch(train) [75][5/79] lr: 6.6100e-03 eta: 5:45:53 time: 0.2627 data_time: 0.0473 memory: 1833 loss: 1.8501 loss_prob: 1.0768 loss_thr: 0.5870 loss_db: 0.1863 2022/12/19 20:36:27 - mmengine - INFO - Epoch(train) [75][10/79] lr: 6.6100e-03 eta: 5:45:53 time: 0.2911 data_time: 0.0474 memory: 1833 loss: 1.8442 loss_prob: 1.0689 loss_thr: 0.5885 loss_db: 0.1868 2022/12/19 20:36:28 - mmengine - INFO - Epoch(train) [75][15/79] lr: 6.6100e-03 eta: 5:45:49 time: 0.2207 data_time: 0.0008 memory: 1833 loss: 1.7422 loss_prob: 1.0086 loss_thr: 0.5593 loss_db: 0.1743 2022/12/19 20:36:29 - mmengine - INFO - Epoch(train) [75][20/79] lr: 6.6100e-03 eta: 5:45:49 time: 0.2271 data_time: 0.0007 memory: 1833 loss: 1.8276 loss_prob: 1.0691 loss_thr: 0.5769 loss_db: 0.1816 2022/12/19 20:36:30 - mmengine - INFO - Epoch(train) [75][25/79] lr: 6.6100e-03 eta: 5:45:48 time: 0.2412 data_time: 0.0007 memory: 1833 loss: 1.8559 loss_prob: 1.0767 loss_thr: 0.6007 loss_db: 0.1785 2022/12/19 20:36:31 - mmengine - INFO - Epoch(train) [75][30/79] lr: 6.6100e-03 eta: 5:45:46 time: 0.2293 data_time: 0.0007 memory: 1833 loss: 1.8251 loss_prob: 1.0553 loss_thr: 0.5925 loss_db: 0.1773 2022/12/19 20:36:32 - mmengine - INFO - Epoch(train) [75][35/79] lr: 6.6100e-03 eta: 5:45:44 time: 0.2235 data_time: 0.0007 memory: 1833 loss: 1.7923 loss_prob: 1.0394 loss_thr: 0.5761 loss_db: 0.1768 2022/12/19 20:36:33 - mmengine - INFO - Epoch(train) [75][40/79] lr: 6.6100e-03 eta: 5:45:42 time: 0.2178 data_time: 0.0007 memory: 1833 loss: 1.7295 loss_prob: 1.0004 loss_thr: 0.5579 loss_db: 0.1712 2022/12/19 20:36:34 - mmengine - INFO - Epoch(train) [75][45/79] lr: 6.6100e-03 eta: 5:45:39 time: 0.2166 data_time: 0.0007 memory: 1833 loss: 1.7751 loss_prob: 1.0186 loss_thr: 0.5805 loss_db: 0.1761 2022/12/19 20:36:36 - mmengine - INFO - Epoch(train) [75][50/79] lr: 6.6100e-03 eta: 5:45:37 time: 0.2183 data_time: 0.0007 memory: 1833 loss: 1.7630 loss_prob: 1.0186 loss_thr: 0.5733 loss_db: 0.1710 2022/12/19 20:36:37 - mmengine - INFO - Epoch(train) [75][55/79] lr: 6.6100e-03 eta: 5:45:37 time: 0.2343 data_time: 0.0007 memory: 1833 loss: 1.7228 loss_prob: 1.0126 loss_thr: 0.5419 loss_db: 0.1684 2022/12/19 20:36:38 - mmengine - INFO - Epoch(train) [75][60/79] lr: 6.6100e-03 eta: 5:45:35 time: 0.2350 data_time: 0.0007 memory: 1833 loss: 1.7916 loss_prob: 1.0489 loss_thr: 0.5647 loss_db: 0.1780 2022/12/19 20:36:39 - mmengine - INFO - Epoch(train) [75][65/79] lr: 6.6100e-03 eta: 5:45:30 time: 0.2019 data_time: 0.0006 memory: 1833 loss: 1.8253 loss_prob: 1.0541 loss_thr: 0.5919 loss_db: 0.1792 2022/12/19 20:36:40 - mmengine - INFO - Epoch(train) [75][70/79] lr: 6.6100e-03 eta: 5:45:26 time: 0.1865 data_time: 0.0006 memory: 1833 loss: 1.7439 loss_prob: 0.9992 loss_thr: 0.5758 loss_db: 0.1689 2022/12/19 20:36:41 - mmengine - INFO - Epoch(train) [75][75/79] lr: 6.6100e-03 eta: 5:45:22 time: 0.1982 data_time: 0.0006 memory: 1833 loss: 1.7479 loss_prob: 1.0009 loss_thr: 0.5772 loss_db: 0.1698 2022/12/19 20:36:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:36:43 - mmengine - INFO - Epoch(train) [76][5/79] lr: 6.6047e-03 eta: 5:45:28 time: 0.2792 data_time: 0.0350 memory: 1833 loss: 1.9342 loss_prob: 1.1295 loss_thr: 0.6150 loss_db: 0.1896 2022/12/19 20:36:45 - mmengine - INFO - Epoch(train) [76][10/79] lr: 6.6047e-03 eta: 5:45:26 time: 0.2940 data_time: 0.0350 memory: 1833 loss: 1.8244 loss_prob: 1.0627 loss_thr: 0.5797 loss_db: 0.1820 2022/12/19 20:36:46 - mmengine - INFO - Epoch(train) [76][15/79] lr: 6.6047e-03 eta: 5:45:24 time: 0.2244 data_time: 0.0007 memory: 1833 loss: 1.7705 loss_prob: 1.0388 loss_thr: 0.5532 loss_db: 0.1785 2022/12/19 20:36:47 - mmengine - INFO - Epoch(train) [76][20/79] lr: 6.6047e-03 eta: 5:45:21 time: 0.2162 data_time: 0.0007 memory: 1833 loss: 1.8341 loss_prob: 1.0790 loss_thr: 0.5736 loss_db: 0.1815 2022/12/19 20:36:48 - mmengine - INFO - Epoch(train) [76][25/79] lr: 6.6047e-03 eta: 5:45:18 time: 0.2085 data_time: 0.0007 memory: 1833 loss: 1.7555 loss_prob: 1.0167 loss_thr: 0.5674 loss_db: 0.1714 2022/12/19 20:36:49 - mmengine - INFO - Epoch(train) [76][30/79] lr: 6.6047e-03 eta: 5:45:13 time: 0.1975 data_time: 0.0008 memory: 1833 loss: 1.6307 loss_prob: 0.9401 loss_thr: 0.5310 loss_db: 0.1597 2022/12/19 20:36:50 - mmengine - INFO - Epoch(train) [76][35/79] lr: 6.6047e-03 eta: 5:45:12 time: 0.2059 data_time: 0.0007 memory: 1833 loss: 1.8409 loss_prob: 1.0764 loss_thr: 0.5834 loss_db: 0.1810 2022/12/19 20:36:51 - mmengine - INFO - Epoch(train) [76][40/79] lr: 6.6047e-03 eta: 5:45:09 time: 0.2196 data_time: 0.0007 memory: 1833 loss: 1.9595 loss_prob: 1.1543 loss_thr: 0.6072 loss_db: 0.1980 2022/12/19 20:36:52 - mmengine - INFO - Epoch(train) [76][45/79] lr: 6.6047e-03 eta: 5:45:12 time: 0.2503 data_time: 0.0008 memory: 1833 loss: 1.8640 loss_prob: 1.0936 loss_thr: 0.5838 loss_db: 0.1865 2022/12/19 20:36:53 - mmengine - INFO - Epoch(train) [76][50/79] lr: 6.6047e-03 eta: 5:45:11 time: 0.2607 data_time: 0.0010 memory: 1833 loss: 1.9087 loss_prob: 1.1341 loss_thr: 0.5857 loss_db: 0.1889 2022/12/19 20:36:55 - mmengine - INFO - Epoch(train) [76][55/79] lr: 6.6047e-03 eta: 5:45:09 time: 0.2278 data_time: 0.0009 memory: 1833 loss: 2.1861 loss_prob: 1.3773 loss_thr: 0.5999 loss_db: 0.2089 2022/12/19 20:36:56 - mmengine - INFO - Epoch(train) [76][60/79] lr: 6.6047e-03 eta: 5:45:05 time: 0.2148 data_time: 0.0007 memory: 1833 loss: 2.1287 loss_prob: 1.3245 loss_thr: 0.6010 loss_db: 0.2032 2022/12/19 20:36:57 - mmengine - INFO - Epoch(train) [76][65/79] lr: 6.6047e-03 eta: 5:45:03 time: 0.2110 data_time: 0.0008 memory: 1833 loss: 1.8527 loss_prob: 1.0969 loss_thr: 0.5699 loss_db: 0.1859 2022/12/19 20:36:58 - mmengine - INFO - Epoch(train) [76][70/79] lr: 6.6047e-03 eta: 5:44:58 time: 0.2008 data_time: 0.0007 memory: 1833 loss: 1.8373 loss_prob: 1.0978 loss_thr: 0.5525 loss_db: 0.1870 2022/12/19 20:36:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:36:59 - mmengine - INFO - Epoch(train) [76][75/79] lr: 6.6047e-03 eta: 5:44:55 time: 0.1944 data_time: 0.0007 memory: 1833 loss: 1.9619 loss_prob: 1.1779 loss_thr: 0.5817 loss_db: 0.2024 2022/12/19 20:36:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:37:01 - mmengine - INFO - Epoch(train) [77][5/79] lr: 6.5994e-03 eta: 5:45:01 time: 0.2815 data_time: 0.0663 memory: 1833 loss: 1.8887 loss_prob: 1.1317 loss_thr: 0.5631 loss_db: 0.1939 2022/12/19 20:37:02 - mmengine - INFO - Epoch(train) [77][10/79] lr: 6.5994e-03 eta: 5:44:59 time: 0.3018 data_time: 0.0665 memory: 1833 loss: 1.8768 loss_prob: 1.1078 loss_thr: 0.5777 loss_db: 0.1913 2022/12/19 20:37:04 - mmengine - INFO - Epoch(train) [77][15/79] lr: 6.5994e-03 eta: 5:44:58 time: 0.2258 data_time: 0.0010 memory: 1833 loss: 1.7802 loss_prob: 1.0425 loss_thr: 0.5591 loss_db: 0.1787 2022/12/19 20:37:05 - mmengine - INFO - Epoch(train) [77][20/79] lr: 6.5994e-03 eta: 5:44:55 time: 0.2279 data_time: 0.0009 memory: 1833 loss: 1.6954 loss_prob: 0.9916 loss_thr: 0.5368 loss_db: 0.1670 2022/12/19 20:37:06 - mmengine - INFO - Epoch(train) [77][25/79] lr: 6.5994e-03 eta: 5:44:53 time: 0.2164 data_time: 0.0008 memory: 1833 loss: 1.8148 loss_prob: 1.0644 loss_thr: 0.5701 loss_db: 0.1803 2022/12/19 20:37:07 - mmengine - INFO - Epoch(train) [77][30/79] lr: 6.5994e-03 eta: 5:44:51 time: 0.2187 data_time: 0.0007 memory: 1833 loss: 1.8265 loss_prob: 1.0607 loss_thr: 0.5825 loss_db: 0.1832 2022/12/19 20:37:08 - mmengine - INFO - Epoch(train) [77][35/79] lr: 6.5994e-03 eta: 5:44:49 time: 0.2238 data_time: 0.0008 memory: 1833 loss: 1.6699 loss_prob: 0.9479 loss_thr: 0.5570 loss_db: 0.1650 2022/12/19 20:37:09 - mmengine - INFO - Epoch(train) [77][40/79] lr: 6.5994e-03 eta: 5:44:49 time: 0.2364 data_time: 0.0009 memory: 1833 loss: 1.7350 loss_prob: 0.9982 loss_thr: 0.5640 loss_db: 0.1728 2022/12/19 20:37:10 - mmengine - INFO - Epoch(train) [77][45/79] lr: 6.5994e-03 eta: 5:44:47 time: 0.2365 data_time: 0.0009 memory: 1833 loss: 1.8960 loss_prob: 1.1158 loss_thr: 0.5896 loss_db: 0.1906 2022/12/19 20:37:11 - mmengine - INFO - Epoch(train) [77][50/79] lr: 6.5994e-03 eta: 5:44:43 time: 0.2099 data_time: 0.0008 memory: 1833 loss: 1.9481 loss_prob: 1.1479 loss_thr: 0.6009 loss_db: 0.1993 2022/12/19 20:37:12 - mmengine - INFO - Epoch(train) [77][55/79] lr: 6.5994e-03 eta: 5:44:39 time: 0.1921 data_time: 0.0008 memory: 1833 loss: 1.7537 loss_prob: 1.0137 loss_thr: 0.5663 loss_db: 0.1736 2022/12/19 20:37:13 - mmengine - INFO - Epoch(train) [77][60/79] lr: 6.5994e-03 eta: 5:44:37 time: 0.2043 data_time: 0.0007 memory: 1833 loss: 1.7103 loss_prob: 0.9711 loss_thr: 0.5733 loss_db: 0.1659 2022/12/19 20:37:14 - mmengine - INFO - Epoch(train) [77][65/79] lr: 6.5994e-03 eta: 5:44:34 time: 0.2176 data_time: 0.0006 memory: 1833 loss: 1.8493 loss_prob: 1.0572 loss_thr: 0.6099 loss_db: 0.1822 2022/12/19 20:37:15 - mmengine - INFO - Epoch(train) [77][70/79] lr: 6.5994e-03 eta: 5:44:32 time: 0.2145 data_time: 0.0006 memory: 1833 loss: 1.9955 loss_prob: 1.1716 loss_thr: 0.6248 loss_db: 0.1991 2022/12/19 20:37:17 - mmengine - INFO - Epoch(train) [77][75/79] lr: 6.5994e-03 eta: 5:44:29 time: 0.2127 data_time: 0.0006 memory: 1833 loss: 1.9392 loss_prob: 1.1480 loss_thr: 0.5953 loss_db: 0.1960 2022/12/19 20:37:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:37:19 - mmengine - INFO - Epoch(train) [78][5/79] lr: 6.5941e-03 eta: 5:44:38 time: 0.3075 data_time: 0.0791 memory: 1833 loss: 1.7274 loss_prob: 0.9978 loss_thr: 0.5605 loss_db: 0.1690 2022/12/19 20:37:20 - mmengine - INFO - Epoch(train) [78][10/79] lr: 6.5941e-03 eta: 5:44:35 time: 0.3183 data_time: 0.0791 memory: 1833 loss: 1.6856 loss_prob: 0.9592 loss_thr: 0.5597 loss_db: 0.1667 2022/12/19 20:37:22 - mmengine - INFO - Epoch(train) [78][15/79] lr: 6.5941e-03 eta: 5:44:33 time: 0.2152 data_time: 0.0007 memory: 1833 loss: 1.7452 loss_prob: 1.0198 loss_thr: 0.5481 loss_db: 0.1773 2022/12/19 20:37:23 - mmengine - INFO - Epoch(train) [78][20/79] lr: 6.5941e-03 eta: 5:44:32 time: 0.2249 data_time: 0.0007 memory: 1833 loss: 1.8034 loss_prob: 1.0443 loss_thr: 0.5788 loss_db: 0.1803 2022/12/19 20:37:24 - mmengine - INFO - Epoch(train) [78][25/79] lr: 6.5941e-03 eta: 5:44:27 time: 0.2099 data_time: 0.0007 memory: 1833 loss: 1.7621 loss_prob: 1.0195 loss_thr: 0.5703 loss_db: 0.1723 2022/12/19 20:37:25 - mmengine - INFO - Epoch(train) [78][30/79] lr: 6.5941e-03 eta: 5:44:28 time: 0.2233 data_time: 0.0008 memory: 1833 loss: 1.8855 loss_prob: 1.1125 loss_thr: 0.5826 loss_db: 0.1903 2022/12/19 20:37:26 - mmengine - INFO - Epoch(train) [78][35/79] lr: 6.5941e-03 eta: 5:44:23 time: 0.2187 data_time: 0.0008 memory: 1833 loss: 1.9113 loss_prob: 1.1279 loss_thr: 0.5933 loss_db: 0.1901 2022/12/19 20:37:27 - mmengine - INFO - Epoch(train) [78][40/79] lr: 6.5941e-03 eta: 5:44:19 time: 0.1904 data_time: 0.0008 memory: 1833 loss: 1.8901 loss_prob: 1.1124 loss_thr: 0.5928 loss_db: 0.1850 2022/12/19 20:37:28 - mmengine - INFO - Epoch(train) [78][45/79] lr: 6.5941e-03 eta: 5:44:18 time: 0.2170 data_time: 0.0008 memory: 1833 loss: 1.7681 loss_prob: 1.0224 loss_thr: 0.5704 loss_db: 0.1752 2022/12/19 20:37:29 - mmengine - INFO - Epoch(train) [78][50/79] lr: 6.5941e-03 eta: 5:44:19 time: 0.2423 data_time: 0.0008 memory: 1833 loss: 1.7094 loss_prob: 0.9988 loss_thr: 0.5418 loss_db: 0.1687 2022/12/19 20:37:30 - mmengine - INFO - Epoch(train) [78][55/79] lr: 6.5941e-03 eta: 5:44:17 time: 0.2400 data_time: 0.0007 memory: 1833 loss: 2.0249 loss_prob: 1.2004 loss_thr: 0.6233 loss_db: 0.2012 2022/12/19 20:37:32 - mmengine - INFO - Epoch(train) [78][60/79] lr: 6.5941e-03 eta: 5:44:17 time: 0.2377 data_time: 0.0007 memory: 1833 loss: 2.1518 loss_prob: 1.2773 loss_thr: 0.6589 loss_db: 0.2156 2022/12/19 20:37:33 - mmengine - INFO - Epoch(train) [78][65/79] lr: 6.5941e-03 eta: 5:44:15 time: 0.2373 data_time: 0.0007 memory: 1833 loss: 2.0457 loss_prob: 1.2038 loss_thr: 0.6363 loss_db: 0.2056 2022/12/19 20:37:34 - mmengine - INFO - Epoch(train) [78][70/79] lr: 6.5941e-03 eta: 5:44:12 time: 0.2175 data_time: 0.0007 memory: 1833 loss: 1.8783 loss_prob: 1.0876 loss_thr: 0.6072 loss_db: 0.1835 2022/12/19 20:37:35 - mmengine - INFO - Epoch(train) [78][75/79] lr: 6.5941e-03 eta: 5:44:09 time: 0.2066 data_time: 0.0006 memory: 1833 loss: 1.8269 loss_prob: 1.0680 loss_thr: 0.5805 loss_db: 0.1784 2022/12/19 20:37:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:37:38 - mmengine - INFO - Epoch(train) [79][5/79] lr: 6.5888e-03 eta: 5:44:20 time: 0.3253 data_time: 0.1120 memory: 1833 loss: 1.6633 loss_prob: 0.9384 loss_thr: 0.5641 loss_db: 0.1607 2022/12/19 20:37:39 - mmengine - INFO - Epoch(train) [79][10/79] lr: 6.5888e-03 eta: 5:44:17 time: 0.3269 data_time: 0.1121 memory: 1833 loss: 1.7158 loss_prob: 0.9921 loss_thr: 0.5576 loss_db: 0.1661 2022/12/19 20:37:40 - mmengine - INFO - Epoch(train) [79][15/79] lr: 6.5888e-03 eta: 5:44:17 time: 0.2296 data_time: 0.0008 memory: 1833 loss: 1.8224 loss_prob: 1.0789 loss_thr: 0.5639 loss_db: 0.1796 2022/12/19 20:37:41 - mmengine - INFO - Epoch(train) [79][20/79] lr: 6.5888e-03 eta: 5:44:16 time: 0.2411 data_time: 0.0008 memory: 1833 loss: 1.9542 loss_prob: 1.1525 loss_thr: 0.6050 loss_db: 0.1968 2022/12/19 20:37:42 - mmengine - INFO - Epoch(train) [79][25/79] lr: 6.5888e-03 eta: 5:44:15 time: 0.2349 data_time: 0.0008 memory: 1833 loss: 1.8593 loss_prob: 1.0687 loss_thr: 0.6066 loss_db: 0.1841 2022/12/19 20:37:44 - mmengine - INFO - Epoch(train) [79][30/79] lr: 6.5888e-03 eta: 5:44:13 time: 0.2296 data_time: 0.0007 memory: 1833 loss: 1.6723 loss_prob: 0.9459 loss_thr: 0.5626 loss_db: 0.1638 2022/12/19 20:37:45 - mmengine - INFO - Epoch(train) [79][35/79] lr: 6.5888e-03 eta: 5:44:09 time: 0.2107 data_time: 0.0008 memory: 1833 loss: 1.6809 loss_prob: 0.9689 loss_thr: 0.5470 loss_db: 0.1650 2022/12/19 20:37:46 - mmengine - INFO - Epoch(train) [79][40/79] lr: 6.5888e-03 eta: 5:44:08 time: 0.2170 data_time: 0.0008 memory: 1833 loss: 1.8373 loss_prob: 1.0851 loss_thr: 0.5670 loss_db: 0.1851 2022/12/19 20:37:47 - mmengine - INFO - Epoch(train) [79][45/79] lr: 6.5888e-03 eta: 5:44:07 time: 0.2335 data_time: 0.0008 memory: 1833 loss: 1.9063 loss_prob: 1.1283 loss_thr: 0.5839 loss_db: 0.1941 2022/12/19 20:37:48 - mmengine - INFO - Epoch(train) [79][50/79] lr: 6.5888e-03 eta: 5:44:06 time: 0.2333 data_time: 0.0008 memory: 1833 loss: 1.9105 loss_prob: 1.1238 loss_thr: 0.5937 loss_db: 0.1929 2022/12/19 20:37:49 - mmengine - INFO - Epoch(train) [79][55/79] lr: 6.5888e-03 eta: 5:44:05 time: 0.2344 data_time: 0.0007 memory: 1833 loss: 1.8915 loss_prob: 1.1019 loss_thr: 0.6001 loss_db: 0.1894 2022/12/19 20:37:50 - mmengine - INFO - Epoch(train) [79][60/79] lr: 6.5888e-03 eta: 5:44:02 time: 0.2228 data_time: 0.0007 memory: 1833 loss: 1.7935 loss_prob: 1.0393 loss_thr: 0.5790 loss_db: 0.1752 2022/12/19 20:37:51 - mmengine - INFO - Epoch(train) [79][65/79] lr: 6.5888e-03 eta: 5:43:59 time: 0.2090 data_time: 0.0007 memory: 1833 loss: 1.7434 loss_prob: 1.0183 loss_thr: 0.5565 loss_db: 0.1686 2022/12/19 20:37:52 - mmengine - INFO - Epoch(train) [79][70/79] lr: 6.5888e-03 eta: 5:43:55 time: 0.1987 data_time: 0.0006 memory: 1833 loss: 1.7880 loss_prob: 1.0474 loss_thr: 0.5643 loss_db: 0.1764 2022/12/19 20:37:53 - mmengine - INFO - Epoch(train) [79][75/79] lr: 6.5888e-03 eta: 5:43:52 time: 0.2015 data_time: 0.0006 memory: 1833 loss: 1.9142 loss_prob: 1.1094 loss_thr: 0.6160 loss_db: 0.1887 2022/12/19 20:37:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:37:56 - mmengine - INFO - Epoch(train) [80][5/79] lr: 6.5835e-03 eta: 5:44:05 time: 0.3375 data_time: 0.0995 memory: 1833 loss: 1.8905 loss_prob: 1.1146 loss_thr: 0.5879 loss_db: 0.1880 2022/12/19 20:37:57 - mmengine - INFO - Epoch(train) [80][10/79] lr: 6.5835e-03 eta: 5:44:01 time: 0.3295 data_time: 0.0996 memory: 1833 loss: 1.8229 loss_prob: 1.0686 loss_thr: 0.5705 loss_db: 0.1839 2022/12/19 20:37:59 - mmengine - INFO - Epoch(train) [80][15/79] lr: 6.5835e-03 eta: 5:43:59 time: 0.2086 data_time: 0.0008 memory: 1833 loss: 1.7335 loss_prob: 1.0000 loss_thr: 0.5596 loss_db: 0.1739 2022/12/19 20:38:00 - mmengine - INFO - Epoch(train) [80][20/79] lr: 6.5835e-03 eta: 5:43:56 time: 0.2123 data_time: 0.0008 memory: 1833 loss: 1.7240 loss_prob: 1.0018 loss_thr: 0.5507 loss_db: 0.1715 2022/12/19 20:38:01 - mmengine - INFO - Epoch(train) [80][25/79] lr: 6.5835e-03 eta: 5:43:55 time: 0.2190 data_time: 0.0008 memory: 1833 loss: 1.7085 loss_prob: 0.9852 loss_thr: 0.5539 loss_db: 0.1694 2022/12/19 20:38:02 - mmengine - INFO - Epoch(train) [80][30/79] lr: 6.5835e-03 eta: 5:43:56 time: 0.2471 data_time: 0.0008 memory: 1833 loss: 1.6128 loss_prob: 0.9147 loss_thr: 0.5401 loss_db: 0.1580 2022/12/19 20:38:03 - mmengine - INFO - Epoch(train) [80][35/79] lr: 6.5835e-03 eta: 5:43:55 time: 0.2499 data_time: 0.0008 memory: 1833 loss: 1.6441 loss_prob: 0.9366 loss_thr: 0.5467 loss_db: 0.1608 2022/12/19 20:38:04 - mmengine - INFO - Epoch(train) [80][40/79] lr: 6.5835e-03 eta: 5:43:50 time: 0.2132 data_time: 0.0007 memory: 1833 loss: 1.8241 loss_prob: 1.0762 loss_thr: 0.5678 loss_db: 0.1802 2022/12/19 20:38:05 - mmengine - INFO - Epoch(train) [80][45/79] lr: 6.5835e-03 eta: 5:43:50 time: 0.2194 data_time: 0.0008 memory: 1833 loss: 1.7880 loss_prob: 1.0523 loss_thr: 0.5593 loss_db: 0.1764 2022/12/19 20:38:06 - mmengine - INFO - Epoch(train) [80][50/79] lr: 6.5835e-03 eta: 5:43:46 time: 0.2173 data_time: 0.0008 memory: 1833 loss: 1.5987 loss_prob: 0.9137 loss_thr: 0.5275 loss_db: 0.1574 2022/12/19 20:38:07 - mmengine - INFO - Epoch(train) [80][55/79] lr: 6.5835e-03 eta: 5:43:43 time: 0.1954 data_time: 0.0007 memory: 1833 loss: 1.7382 loss_prob: 1.0193 loss_thr: 0.5489 loss_db: 0.1700 2022/12/19 20:38:08 - mmengine - INFO - Epoch(train) [80][60/79] lr: 6.5835e-03 eta: 5:43:39 time: 0.2026 data_time: 0.0006 memory: 1833 loss: 1.8415 loss_prob: 1.0928 loss_thr: 0.5667 loss_db: 0.1820 2022/12/19 20:38:09 - mmengine - INFO - Epoch(train) [80][65/79] lr: 6.5835e-03 eta: 5:43:36 time: 0.2056 data_time: 0.0006 memory: 1833 loss: 2.0490 loss_prob: 1.2451 loss_thr: 0.5978 loss_db: 0.2061 2022/12/19 20:38:11 - mmengine - INFO - Epoch(train) [80][70/79] lr: 6.5835e-03 eta: 5:43:34 time: 0.2119 data_time: 0.0006 memory: 1833 loss: 2.0843 loss_prob: 1.2674 loss_thr: 0.6071 loss_db: 0.2097 2022/12/19 20:38:12 - mmengine - INFO - Epoch(train) [80][75/79] lr: 6.5835e-03 eta: 5:43:31 time: 0.2136 data_time: 0.0006 memory: 1833 loss: 1.8695 loss_prob: 1.1055 loss_thr: 0.5762 loss_db: 0.1878 2022/12/19 20:38:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:38:13 - mmengine - INFO - Epoch(val) [80][5/75] eta: 0:00:01 time: 0.0276 data_time: 0.0114 memory: 1833 2022/12/19 20:38:13 - mmengine - INFO - Epoch(val) [80][10/75] eta: 0:00:01 time: 0.0220 data_time: 0.0032 memory: 425 2022/12/19 20:38:13 - mmengine - INFO - Epoch(val) [80][15/75] eta: 0:00:01 time: 0.0361 data_time: 0.0004 memory: 425 2022/12/19 20:38:13 - mmengine - INFO - Epoch(val) [80][20/75] eta: 0:00:01 time: 0.0360 data_time: 0.0004 memory: 425 2022/12/19 20:38:13 - mmengine - INFO - Epoch(val) [80][25/75] eta: 0:00:01 time: 0.0260 data_time: 0.0096 memory: 390 2022/12/19 20:38:14 - mmengine - INFO - Epoch(val) [80][30/75] eta: 0:00:01 time: 0.0691 data_time: 0.0417 memory: 390 2022/12/19 20:38:14 - mmengine - INFO - Epoch(val) [80][35/75] eta: 0:00:01 time: 0.0707 data_time: 0.0436 memory: 368 2022/12/19 20:38:14 - mmengine - INFO - Epoch(val) [80][40/75] eta: 0:00:01 time: 0.0403 data_time: 0.0233 memory: 390 2022/12/19 20:38:14 - mmengine - INFO - Epoch(val) [80][45/75] eta: 0:00:01 time: 0.0310 data_time: 0.0121 memory: 425 2022/12/19 20:38:15 - mmengine - INFO - Epoch(val) [80][50/75] eta: 0:00:00 time: 0.0180 data_time: 0.0003 memory: 430 2022/12/19 20:38:15 - mmengine - INFO - Epoch(val) [80][55/75] eta: 0:00:00 time: 0.0205 data_time: 0.0024 memory: 407 2022/12/19 20:38:15 - mmengine - INFO - Epoch(val) [80][60/75] eta: 0:00:00 time: 0.0268 data_time: 0.0024 memory: 390 2022/12/19 20:38:15 - mmengine - INFO - Epoch(val) [80][65/75] eta: 0:00:00 time: 0.0255 data_time: 0.0003 memory: 390 2022/12/19 20:38:15 - mmengine - INFO - Epoch(val) [80][70/75] eta: 0:00:00 time: 0.0321 data_time: 0.0012 memory: 425 2022/12/19 20:38:15 - mmengine - INFO - Epoch(val) [80][75/75] eta: 0:00:00 time: 0.0449 data_time: 0.0172 memory: 368 2022/12/19 20:38:15 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 20:38:15 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7639, precision: 0.6867, hmean: 0.7232 2022/12/19 20:38:15 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7634, precision: 0.7697, hmean: 0.7665 2022/12/19 20:38:15 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7553, precision: 0.8153, hmean: 0.7842 2022/12/19 20:38:15 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7255, precision: 0.8594, hmean: 0.7868 2022/12/19 20:38:15 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.5558, precision: 0.9256, hmean: 0.6945 2022/12/19 20:38:15 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.1327, precision: 0.9767, hmean: 0.2337 2022/12/19 20:38:15 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0009, precision: 1.0000, hmean: 0.0018 2022/12/19 20:38:15 - mmengine - INFO - Epoch(val) [80][75/75] icdar/precision: 0.8594 icdar/recall: 0.7255 icdar/hmean: 0.7868 2022/12/19 20:38:15 - mmengine - INFO - The previous best checkpoint work_dirs/dbnet_resnet18_fpnc_1200e_totaltext/best_icdar/hmean_epoch_60.pth is removed 2022/12/19 20:38:16 - mmengine - INFO - The best checkpoint with 0.7868 icdar/hmean at 80 epoch is saved to best_icdar/hmean_epoch_80.pth. 2022/12/19 20:38:17 - mmengine - INFO - Epoch(train) [81][5/79] lr: 6.5782e-03 eta: 5:43:34 time: 0.2655 data_time: 0.0270 memory: 1833 loss: 1.8804 loss_prob: 1.1233 loss_thr: 0.5656 loss_db: 0.1916 2022/12/19 20:38:19 - mmengine - INFO - Epoch(train) [81][10/79] lr: 6.5782e-03 eta: 5:43:34 time: 0.2566 data_time: 0.0268 memory: 1833 loss: 1.6584 loss_prob: 0.9645 loss_thr: 0.5306 loss_db: 0.1633 2022/12/19 20:38:20 - mmengine - INFO - Epoch(train) [81][15/79] lr: 6.5782e-03 eta: 5:43:31 time: 0.2289 data_time: 0.0007 memory: 1833 loss: 1.6225 loss_prob: 0.9373 loss_thr: 0.5257 loss_db: 0.1594 2022/12/19 20:38:21 - mmengine - INFO - Epoch(train) [81][20/79] lr: 6.5782e-03 eta: 5:43:29 time: 0.2172 data_time: 0.0008 memory: 1833 loss: 1.7443 loss_prob: 1.0004 loss_thr: 0.5704 loss_db: 0.1735 2022/12/19 20:38:22 - mmengine - INFO - Epoch(train) [81][25/79] lr: 6.5782e-03 eta: 5:43:27 time: 0.2173 data_time: 0.0008 memory: 1833 loss: 1.7156 loss_prob: 0.9761 loss_thr: 0.5705 loss_db: 0.1689 2022/12/19 20:38:23 - mmengine - INFO - Epoch(train) [81][30/79] lr: 6.5782e-03 eta: 5:43:26 time: 0.2229 data_time: 0.0007 memory: 1833 loss: 1.7361 loss_prob: 1.0076 loss_thr: 0.5546 loss_db: 0.1738 2022/12/19 20:38:24 - mmengine - INFO - Epoch(train) [81][35/79] lr: 6.5782e-03 eta: 5:43:23 time: 0.2233 data_time: 0.0007 memory: 1833 loss: 1.7201 loss_prob: 1.0048 loss_thr: 0.5423 loss_db: 0.1730 2022/12/19 20:38:25 - mmengine - INFO - Epoch(train) [81][40/79] lr: 6.5782e-03 eta: 5:43:23 time: 0.2290 data_time: 0.0008 memory: 1833 loss: 1.7443 loss_prob: 1.0153 loss_thr: 0.5538 loss_db: 0.1752 2022/12/19 20:38:26 - mmengine - INFO - Epoch(train) [81][45/79] lr: 6.5782e-03 eta: 5:43:18 time: 0.2150 data_time: 0.0008 memory: 1833 loss: 1.7655 loss_prob: 1.0336 loss_thr: 0.5583 loss_db: 0.1736 2022/12/19 20:38:27 - mmengine - INFO - Epoch(train) [81][50/79] lr: 6.5782e-03 eta: 5:43:15 time: 0.1930 data_time: 0.0007 memory: 1833 loss: 1.7013 loss_prob: 0.9801 loss_thr: 0.5582 loss_db: 0.1630 2022/12/19 20:38:29 - mmengine - INFO - Epoch(train) [81][55/79] lr: 6.5782e-03 eta: 5:43:14 time: 0.2181 data_time: 0.0007 memory: 1833 loss: 1.6544 loss_prob: 0.9461 loss_thr: 0.5473 loss_db: 0.1610 2022/12/19 20:38:30 - mmengine - INFO - Epoch(train) [81][60/79] lr: 6.5782e-03 eta: 5:43:11 time: 0.2250 data_time: 0.0007 memory: 1833 loss: 1.5164 loss_prob: 0.8673 loss_thr: 0.4998 loss_db: 0.1493 2022/12/19 20:38:31 - mmengine - INFO - Epoch(train) [81][65/79] lr: 6.5782e-03 eta: 5:43:08 time: 0.2095 data_time: 0.0006 memory: 1833 loss: 1.7407 loss_prob: 1.0048 loss_thr: 0.5661 loss_db: 0.1698 2022/12/19 20:38:32 - mmengine - INFO - Epoch(train) [81][70/79] lr: 6.5782e-03 eta: 5:43:04 time: 0.1980 data_time: 0.0006 memory: 1833 loss: 1.8984 loss_prob: 1.1143 loss_thr: 0.5965 loss_db: 0.1875 2022/12/19 20:38:33 - mmengine - INFO - Epoch(train) [81][75/79] lr: 6.5782e-03 eta: 5:43:01 time: 0.1973 data_time: 0.0006 memory: 1833 loss: 1.6675 loss_prob: 0.9777 loss_thr: 0.5242 loss_db: 0.1656 2022/12/19 20:38:33 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:38:35 - mmengine - INFO - Epoch(train) [82][5/79] lr: 6.5729e-03 eta: 5:43:05 time: 0.2784 data_time: 0.0270 memory: 1833 loss: 1.7370 loss_prob: 1.0084 loss_thr: 0.5519 loss_db: 0.1767 2022/12/19 20:38:36 - mmengine - INFO - Epoch(train) [82][10/79] lr: 6.5729e-03 eta: 5:43:03 time: 0.2910 data_time: 0.0271 memory: 1833 loss: 1.7486 loss_prob: 1.0117 loss_thr: 0.5611 loss_db: 0.1758 2022/12/19 20:38:37 - mmengine - INFO - Epoch(train) [82][15/79] lr: 6.5729e-03 eta: 5:43:00 time: 0.2097 data_time: 0.0007 memory: 1833 loss: 1.7887 loss_prob: 1.0276 loss_thr: 0.5844 loss_db: 0.1767 2022/12/19 20:38:39 - mmengine - INFO - Epoch(train) [82][20/79] lr: 6.5729e-03 eta: 5:43:00 time: 0.2335 data_time: 0.0007 memory: 1833 loss: 1.6800 loss_prob: 0.9472 loss_thr: 0.5692 loss_db: 0.1636 2022/12/19 20:38:39 - mmengine - INFO - Epoch(train) [82][25/79] lr: 6.5729e-03 eta: 5:42:56 time: 0.2198 data_time: 0.0007 memory: 1833 loss: 1.8248 loss_prob: 1.0800 loss_thr: 0.5708 loss_db: 0.1740 2022/12/19 20:38:40 - mmengine - INFO - Epoch(train) [82][30/79] lr: 6.5729e-03 eta: 5:42:52 time: 0.1906 data_time: 0.0007 memory: 1833 loss: 1.8877 loss_prob: 1.1328 loss_thr: 0.5721 loss_db: 0.1829 2022/12/19 20:38:42 - mmengine - INFO - Epoch(train) [82][35/79] lr: 6.5729e-03 eta: 5:42:49 time: 0.2035 data_time: 0.0013 memory: 1833 loss: 1.7966 loss_prob: 1.0499 loss_thr: 0.5633 loss_db: 0.1833 2022/12/19 20:38:43 - mmengine - INFO - Epoch(train) [82][40/79] lr: 6.5729e-03 eta: 5:42:47 time: 0.2100 data_time: 0.0013 memory: 1833 loss: 1.7044 loss_prob: 0.9755 loss_thr: 0.5589 loss_db: 0.1700 2022/12/19 20:38:44 - mmengine - INFO - Epoch(train) [82][45/79] lr: 6.5729e-03 eta: 5:42:45 time: 0.2193 data_time: 0.0008 memory: 1833 loss: 1.6882 loss_prob: 0.9615 loss_thr: 0.5616 loss_db: 0.1651 2022/12/19 20:38:45 - mmengine - INFO - Epoch(train) [82][50/79] lr: 6.5729e-03 eta: 5:42:49 time: 0.2690 data_time: 0.0010 memory: 1833 loss: 1.7455 loss_prob: 1.0102 loss_thr: 0.5633 loss_db: 0.1719 2022/12/19 20:38:46 - mmengine - INFO - Epoch(train) [82][55/79] lr: 6.5729e-03 eta: 5:42:46 time: 0.2571 data_time: 0.0010 memory: 1833 loss: 1.6789 loss_prob: 0.9663 loss_thr: 0.5468 loss_db: 0.1658 2022/12/19 20:38:47 - mmengine - INFO - Epoch(train) [82][60/79] lr: 6.5729e-03 eta: 5:42:45 time: 0.2147 data_time: 0.0007 memory: 1833 loss: 1.7310 loss_prob: 0.9999 loss_thr: 0.5582 loss_db: 0.1728 2022/12/19 20:38:48 - mmengine - INFO - Epoch(train) [82][65/79] lr: 6.5729e-03 eta: 5:42:42 time: 0.2189 data_time: 0.0007 memory: 1833 loss: 1.6473 loss_prob: 0.9349 loss_thr: 0.5523 loss_db: 0.1601 2022/12/19 20:38:50 - mmengine - INFO - Epoch(train) [82][70/79] lr: 6.5729e-03 eta: 5:42:40 time: 0.2192 data_time: 0.0007 memory: 1833 loss: 1.6824 loss_prob: 0.9675 loss_thr: 0.5519 loss_db: 0.1629 2022/12/19 20:38:51 - mmengine - INFO - Epoch(train) [82][75/79] lr: 6.5729e-03 eta: 5:42:37 time: 0.2159 data_time: 0.0007 memory: 1833 loss: 1.7223 loss_prob: 1.0009 loss_thr: 0.5518 loss_db: 0.1697 2022/12/19 20:38:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:38:54 - mmengine - INFO - Epoch(train) [83][5/79] lr: 6.5676e-03 eta: 5:42:51 time: 0.3499 data_time: 0.1325 memory: 1833 loss: 1.6638 loss_prob: 0.9445 loss_thr: 0.5562 loss_db: 0.1632 2022/12/19 20:38:55 - mmengine - INFO - Epoch(train) [83][10/79] lr: 6.5676e-03 eta: 5:42:48 time: 0.3399 data_time: 0.1326 memory: 1833 loss: 1.6772 loss_prob: 0.9721 loss_thr: 0.5395 loss_db: 0.1657 2022/12/19 20:38:56 - mmengine - INFO - Epoch(train) [83][15/79] lr: 6.5676e-03 eta: 5:42:45 time: 0.2019 data_time: 0.0008 memory: 1833 loss: 1.6638 loss_prob: 0.9515 loss_thr: 0.5501 loss_db: 0.1622 2022/12/19 20:38:57 - mmengine - INFO - Epoch(train) [83][20/79] lr: 6.5676e-03 eta: 5:42:42 time: 0.2041 data_time: 0.0007 memory: 1833 loss: 1.7684 loss_prob: 1.0243 loss_thr: 0.5693 loss_db: 0.1748 2022/12/19 20:38:58 - mmengine - INFO - Epoch(train) [83][25/79] lr: 6.5676e-03 eta: 5:42:39 time: 0.2037 data_time: 0.0007 memory: 1833 loss: 1.8780 loss_prob: 1.1093 loss_thr: 0.5801 loss_db: 0.1886 2022/12/19 20:38:59 - mmengine - INFO - Epoch(train) [83][30/79] lr: 6.5676e-03 eta: 5:42:37 time: 0.2169 data_time: 0.0007 memory: 1833 loss: 1.8138 loss_prob: 1.0589 loss_thr: 0.5759 loss_db: 0.1790 2022/12/19 20:39:00 - mmengine - INFO - Epoch(train) [83][35/79] lr: 6.5676e-03 eta: 5:42:36 time: 0.2299 data_time: 0.0007 memory: 1833 loss: 1.7388 loss_prob: 1.0101 loss_thr: 0.5582 loss_db: 0.1704 2022/12/19 20:39:01 - mmengine - INFO - Epoch(train) [83][40/79] lr: 6.5676e-03 eta: 5:42:33 time: 0.2222 data_time: 0.0008 memory: 1833 loss: 1.7798 loss_prob: 1.0279 loss_thr: 0.5769 loss_db: 0.1750 2022/12/19 20:39:02 - mmengine - INFO - Epoch(train) [83][45/79] lr: 6.5676e-03 eta: 5:42:31 time: 0.2113 data_time: 0.0008 memory: 1833 loss: 1.7711 loss_prob: 1.0055 loss_thr: 0.5918 loss_db: 0.1738 2022/12/19 20:39:03 - mmengine - INFO - Epoch(train) [83][50/79] lr: 6.5676e-03 eta: 5:42:28 time: 0.2129 data_time: 0.0007 memory: 1833 loss: 1.7543 loss_prob: 1.0038 loss_thr: 0.5761 loss_db: 0.1743 2022/12/19 20:39:04 - mmengine - INFO - Epoch(train) [83][55/79] lr: 6.5676e-03 eta: 5:42:24 time: 0.2042 data_time: 0.0006 memory: 1833 loss: 1.8464 loss_prob: 1.0924 loss_thr: 0.5704 loss_db: 0.1837 2022/12/19 20:39:05 - mmengine - INFO - Epoch(train) [83][60/79] lr: 6.5676e-03 eta: 5:42:21 time: 0.1972 data_time: 0.0006 memory: 1833 loss: 1.7387 loss_prob: 1.0147 loss_thr: 0.5518 loss_db: 0.1722 2022/12/19 20:39:07 - mmengine - INFO - Epoch(train) [83][65/79] lr: 6.5676e-03 eta: 5:42:20 time: 0.2141 data_time: 0.0006 memory: 1833 loss: 1.6350 loss_prob: 0.9395 loss_thr: 0.5295 loss_db: 0.1661 2022/12/19 20:39:08 - mmengine - INFO - Epoch(train) [83][70/79] lr: 6.5676e-03 eta: 5:42:16 time: 0.2148 data_time: 0.0011 memory: 1833 loss: 1.6951 loss_prob: 0.9765 loss_thr: 0.5468 loss_db: 0.1717 2022/12/19 20:39:09 - mmengine - INFO - Epoch(train) [83][75/79] lr: 6.5676e-03 eta: 5:42:14 time: 0.2061 data_time: 0.0011 memory: 1833 loss: 1.7694 loss_prob: 1.0082 loss_thr: 0.5873 loss_db: 0.1739 2022/12/19 20:39:09 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:39:12 - mmengine - INFO - Epoch(train) [84][5/79] lr: 6.5623e-03 eta: 5:42:33 time: 0.4033 data_time: 0.0494 memory: 1833 loss: 1.7469 loss_prob: 1.0107 loss_thr: 0.5662 loss_db: 0.1700 2022/12/19 20:39:13 - mmengine - INFO - Epoch(train) [84][10/79] lr: 6.5623e-03 eta: 5:42:32 time: 0.4230 data_time: 0.0495 memory: 1833 loss: 1.8609 loss_prob: 1.1014 loss_thr: 0.5718 loss_db: 0.1876 2022/12/19 20:39:15 - mmengine - INFO - Epoch(train) [84][15/79] lr: 6.5623e-03 eta: 5:42:32 time: 0.2362 data_time: 0.0008 memory: 1833 loss: 1.8911 loss_prob: 1.1285 loss_thr: 0.5717 loss_db: 0.1909 2022/12/19 20:39:16 - mmengine - INFO - Epoch(train) [84][20/79] lr: 6.5623e-03 eta: 5:42:29 time: 0.2280 data_time: 0.0007 memory: 1833 loss: 1.6917 loss_prob: 0.9755 loss_thr: 0.5501 loss_db: 0.1661 2022/12/19 20:39:17 - mmengine - INFO - Epoch(train) [84][25/79] lr: 6.5623e-03 eta: 5:42:31 time: 0.2435 data_time: 0.0007 memory: 1833 loss: 1.7737 loss_prob: 1.0387 loss_thr: 0.5622 loss_db: 0.1728 2022/12/19 20:39:18 - mmengine - INFO - Epoch(train) [84][30/79] lr: 6.5623e-03 eta: 5:42:27 time: 0.2337 data_time: 0.0007 memory: 1833 loss: 1.7856 loss_prob: 1.0468 loss_thr: 0.5646 loss_db: 0.1742 2022/12/19 20:39:19 - mmengine - INFO - Epoch(train) [84][35/79] lr: 6.5623e-03 eta: 5:42:23 time: 0.1942 data_time: 0.0007 memory: 1833 loss: 1.6348 loss_prob: 0.9388 loss_thr: 0.5341 loss_db: 0.1618 2022/12/19 20:39:20 - mmengine - INFO - Epoch(train) [84][40/79] lr: 6.5623e-03 eta: 5:42:21 time: 0.2050 data_time: 0.0007 memory: 1833 loss: 1.6414 loss_prob: 0.9473 loss_thr: 0.5304 loss_db: 0.1636 2022/12/19 20:39:21 - mmengine - INFO - Epoch(train) [84][45/79] lr: 6.5623e-03 eta: 5:42:18 time: 0.2126 data_time: 0.0007 memory: 1833 loss: 1.6484 loss_prob: 0.9408 loss_thr: 0.5435 loss_db: 0.1641 2022/12/19 20:39:22 - mmengine - INFO - Epoch(train) [84][50/79] lr: 6.5623e-03 eta: 5:42:16 time: 0.2130 data_time: 0.0007 memory: 1833 loss: 1.7491 loss_prob: 1.0101 loss_thr: 0.5639 loss_db: 0.1751 2022/12/19 20:39:23 - mmengine - INFO - Epoch(train) [84][55/79] lr: 6.5623e-03 eta: 5:42:13 time: 0.2150 data_time: 0.0006 memory: 1833 loss: 1.7797 loss_prob: 1.0364 loss_thr: 0.5649 loss_db: 0.1783 2022/12/19 20:39:24 - mmengine - INFO - Epoch(train) [84][60/79] lr: 6.5623e-03 eta: 5:42:10 time: 0.2091 data_time: 0.0006 memory: 1833 loss: 1.6919 loss_prob: 0.9849 loss_thr: 0.5383 loss_db: 0.1686 2022/12/19 20:39:25 - mmengine - INFO - Epoch(train) [84][65/79] lr: 6.5623e-03 eta: 5:42:07 time: 0.2042 data_time: 0.0006 memory: 1833 loss: 1.7065 loss_prob: 0.9866 loss_thr: 0.5514 loss_db: 0.1684 2022/12/19 20:39:26 - mmengine - INFO - Epoch(train) [84][70/79] lr: 6.5623e-03 eta: 5:42:04 time: 0.2030 data_time: 0.0007 memory: 1833 loss: 1.7051 loss_prob: 0.9793 loss_thr: 0.5550 loss_db: 0.1707 2022/12/19 20:39:28 - mmengine - INFO - Epoch(train) [84][75/79] lr: 6.5623e-03 eta: 5:42:07 time: 0.2511 data_time: 0.0008 memory: 1833 loss: 1.6982 loss_prob: 0.9763 loss_thr: 0.5509 loss_db: 0.1711 2022/12/19 20:39:29 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:39:30 - mmengine - INFO - Epoch(train) [85][5/79] lr: 6.5571e-03 eta: 5:42:11 time: 0.2895 data_time: 0.0777 memory: 1833 loss: 1.5268 loss_prob: 0.8673 loss_thr: 0.5126 loss_db: 0.1470 2022/12/19 20:39:32 - mmengine - INFO - Epoch(train) [85][10/79] lr: 6.5571e-03 eta: 5:42:09 time: 0.2856 data_time: 0.0777 memory: 1833 loss: 1.5131 loss_prob: 0.8427 loss_thr: 0.5246 loss_db: 0.1458 2022/12/19 20:39:33 - mmengine - INFO - Epoch(train) [85][15/79] lr: 6.5571e-03 eta: 5:42:06 time: 0.2094 data_time: 0.0008 memory: 1833 loss: 1.5832 loss_prob: 0.8971 loss_thr: 0.5294 loss_db: 0.1568 2022/12/19 20:39:34 - mmengine - INFO - Epoch(train) [85][20/79] lr: 6.5571e-03 eta: 5:42:04 time: 0.2114 data_time: 0.0008 memory: 1833 loss: 1.5631 loss_prob: 0.9094 loss_thr: 0.4990 loss_db: 0.1547 2022/12/19 20:39:35 - mmengine - INFO - Epoch(train) [85][25/79] lr: 6.5571e-03 eta: 5:42:01 time: 0.2153 data_time: 0.0010 memory: 1833 loss: 1.7699 loss_prob: 1.0436 loss_thr: 0.5504 loss_db: 0.1759 2022/12/19 20:39:36 - mmengine - INFO - Epoch(train) [85][30/79] lr: 6.5571e-03 eta: 5:41:58 time: 0.2110 data_time: 0.0010 memory: 1833 loss: 1.9683 loss_prob: 1.1690 loss_thr: 0.6009 loss_db: 0.1985 2022/12/19 20:39:37 - mmengine - INFO - Epoch(train) [85][35/79] lr: 6.5571e-03 eta: 5:41:56 time: 0.2081 data_time: 0.0010 memory: 1833 loss: 1.9018 loss_prob: 1.1317 loss_thr: 0.5778 loss_db: 0.1924 2022/12/19 20:39:38 - mmengine - INFO - Epoch(train) [85][40/79] lr: 6.5571e-03 eta: 5:41:55 time: 0.2245 data_time: 0.0009 memory: 1833 loss: 1.7506 loss_prob: 1.0275 loss_thr: 0.5477 loss_db: 0.1754 2022/12/19 20:39:39 - mmengine - INFO - Epoch(train) [85][45/79] lr: 6.5571e-03 eta: 5:41:53 time: 0.2298 data_time: 0.0009 memory: 1833 loss: 1.6850 loss_prob: 0.9684 loss_thr: 0.5490 loss_db: 0.1676 2022/12/19 20:39:40 - mmengine - INFO - Epoch(train) [85][50/79] lr: 6.5571e-03 eta: 5:41:49 time: 0.2052 data_time: 0.0009 memory: 1833 loss: 1.7577 loss_prob: 1.0083 loss_thr: 0.5770 loss_db: 0.1724 2022/12/19 20:39:41 - mmengine - INFO - Epoch(train) [85][55/79] lr: 6.5571e-03 eta: 5:41:46 time: 0.1980 data_time: 0.0008 memory: 1833 loss: 1.7084 loss_prob: 0.9884 loss_thr: 0.5509 loss_db: 0.1691 2022/12/19 20:39:42 - mmengine - INFO - Epoch(train) [85][60/79] lr: 6.5571e-03 eta: 5:41:43 time: 0.2033 data_time: 0.0007 memory: 1833 loss: 1.7431 loss_prob: 1.0167 loss_thr: 0.5491 loss_db: 0.1773 2022/12/19 20:39:44 - mmengine - INFO - Epoch(train) [85][65/79] lr: 6.5571e-03 eta: 5:41:46 time: 0.2462 data_time: 0.0008 memory: 1833 loss: 1.8326 loss_prob: 1.0712 loss_thr: 0.5746 loss_db: 0.1867 2022/12/19 20:39:45 - mmengine - INFO - Epoch(train) [85][70/79] lr: 6.5571e-03 eta: 5:41:45 time: 0.2692 data_time: 0.0009 memory: 1833 loss: 1.8290 loss_prob: 1.0878 loss_thr: 0.5554 loss_db: 0.1857 2022/12/19 20:39:46 - mmengine - INFO - Epoch(train) [85][75/79] lr: 6.5571e-03 eta: 5:41:44 time: 0.2379 data_time: 0.0009 memory: 1833 loss: 1.7587 loss_prob: 1.0342 loss_thr: 0.5494 loss_db: 0.1751 2022/12/19 20:39:47 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:39:49 - mmengine - INFO - Epoch(train) [86][5/79] lr: 6.5518e-03 eta: 5:42:00 time: 0.3675 data_time: 0.1450 memory: 1833 loss: 1.6690 loss_prob: 0.9647 loss_thr: 0.5423 loss_db: 0.1620 2022/12/19 20:39:51 - mmengine - INFO - Epoch(train) [86][10/79] lr: 6.5518e-03 eta: 5:41:58 time: 0.3708 data_time: 0.1450 memory: 1833 loss: 1.7285 loss_prob: 0.9932 loss_thr: 0.5690 loss_db: 0.1664 2022/12/19 20:39:52 - mmengine - INFO - Epoch(train) [86][15/79] lr: 6.5518e-03 eta: 5:41:55 time: 0.2104 data_time: 0.0009 memory: 1833 loss: 1.6956 loss_prob: 0.9630 loss_thr: 0.5703 loss_db: 0.1624 2022/12/19 20:39:53 - mmengine - INFO - Epoch(train) [86][20/79] lr: 6.5518e-03 eta: 5:41:54 time: 0.2150 data_time: 0.0009 memory: 1833 loss: 1.6946 loss_prob: 0.9640 loss_thr: 0.5609 loss_db: 0.1698 2022/12/19 20:39:54 - mmengine - INFO - Epoch(train) [86][25/79] lr: 6.5518e-03 eta: 5:41:50 time: 0.2149 data_time: 0.0008 memory: 1833 loss: 1.6634 loss_prob: 0.9677 loss_thr: 0.5303 loss_db: 0.1654 2022/12/19 20:39:55 - mmengine - INFO - Epoch(train) [86][30/79] lr: 6.5518e-03 eta: 5:41:48 time: 0.2039 data_time: 0.0009 memory: 1833 loss: 1.7832 loss_prob: 1.0446 loss_thr: 0.5660 loss_db: 0.1726 2022/12/19 20:39:56 - mmengine - INFO - Epoch(train) [86][35/79] lr: 6.5518e-03 eta: 5:41:44 time: 0.2039 data_time: 0.0009 memory: 1833 loss: 1.9855 loss_prob: 1.1605 loss_thr: 0.6248 loss_db: 0.2002 2022/12/19 20:39:57 - mmengine - INFO - Epoch(train) [86][40/79] lr: 6.5518e-03 eta: 5:41:43 time: 0.2130 data_time: 0.0009 memory: 1833 loss: 1.9121 loss_prob: 1.1119 loss_thr: 0.6080 loss_db: 0.1921 2022/12/19 20:39:58 - mmengine - INFO - Epoch(train) [86][45/79] lr: 6.5518e-03 eta: 5:41:41 time: 0.2268 data_time: 0.0009 memory: 1833 loss: 1.6378 loss_prob: 0.9373 loss_thr: 0.5414 loss_db: 0.1591 2022/12/19 20:39:59 - mmengine - INFO - Epoch(train) [86][50/79] lr: 6.5518e-03 eta: 5:41:41 time: 0.2412 data_time: 0.0009 memory: 1833 loss: 1.6943 loss_prob: 0.9729 loss_thr: 0.5556 loss_db: 0.1657 2022/12/19 20:40:00 - mmengine - INFO - Epoch(train) [86][55/79] lr: 6.5518e-03 eta: 5:41:39 time: 0.2339 data_time: 0.0009 memory: 1833 loss: 1.7345 loss_prob: 0.9935 loss_thr: 0.5702 loss_db: 0.1708 2022/12/19 20:40:01 - mmengine - INFO - Epoch(train) [86][60/79] lr: 6.5518e-03 eta: 5:41:38 time: 0.2214 data_time: 0.0008 memory: 1833 loss: 1.6418 loss_prob: 0.9386 loss_thr: 0.5410 loss_db: 0.1621 2022/12/19 20:40:03 - mmengine - INFO - Epoch(train) [86][65/79] lr: 6.5518e-03 eta: 5:41:35 time: 0.2236 data_time: 0.0009 memory: 1833 loss: 1.5991 loss_prob: 0.9167 loss_thr: 0.5272 loss_db: 0.1553 2022/12/19 20:40:04 - mmengine - INFO - Epoch(train) [86][70/79] lr: 6.5518e-03 eta: 5:41:34 time: 0.2222 data_time: 0.0009 memory: 1833 loss: 1.5899 loss_prob: 0.9039 loss_thr: 0.5328 loss_db: 0.1533 2022/12/19 20:40:05 - mmengine - INFO - Epoch(train) [86][75/79] lr: 6.5518e-03 eta: 5:41:30 time: 0.2126 data_time: 0.0013 memory: 1833 loss: 1.6369 loss_prob: 0.9379 loss_thr: 0.5396 loss_db: 0.1593 2022/12/19 20:40:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:40:08 - mmengine - INFO - Epoch(train) [87][5/79] lr: 6.5465e-03 eta: 5:41:38 time: 0.3060 data_time: 0.0494 memory: 1833 loss: 1.7464 loss_prob: 1.0220 loss_thr: 0.5486 loss_db: 0.1758 2022/12/19 20:40:09 - mmengine - INFO - Epoch(train) [87][10/79] lr: 6.5465e-03 eta: 5:41:35 time: 0.3194 data_time: 0.0494 memory: 1833 loss: 1.8538 loss_prob: 1.0917 loss_thr: 0.5732 loss_db: 0.1889 2022/12/19 20:40:10 - mmengine - INFO - Epoch(train) [87][15/79] lr: 6.5465e-03 eta: 5:41:33 time: 0.2121 data_time: 0.0007 memory: 1833 loss: 1.6694 loss_prob: 0.9747 loss_thr: 0.5288 loss_db: 0.1659 2022/12/19 20:40:11 - mmengine - INFO - Epoch(train) [87][20/79] lr: 6.5465e-03 eta: 5:41:30 time: 0.2097 data_time: 0.0008 memory: 1833 loss: 1.6694 loss_prob: 0.9627 loss_thr: 0.5415 loss_db: 0.1652 2022/12/19 20:40:12 - mmengine - INFO - Epoch(train) [87][25/79] lr: 6.5465e-03 eta: 5:41:27 time: 0.2051 data_time: 0.0008 memory: 1833 loss: 1.6949 loss_prob: 0.9677 loss_thr: 0.5592 loss_db: 0.1679 2022/12/19 20:40:13 - mmengine - INFO - Epoch(train) [87][30/79] lr: 6.5465e-03 eta: 5:41:27 time: 0.2304 data_time: 0.0008 memory: 1833 loss: 1.7707 loss_prob: 1.0267 loss_thr: 0.5719 loss_db: 0.1721 2022/12/19 20:40:14 - mmengine - INFO - Epoch(train) [87][35/79] lr: 6.5465e-03 eta: 5:41:25 time: 0.2327 data_time: 0.0009 memory: 1833 loss: 1.7735 loss_prob: 1.0414 loss_thr: 0.5550 loss_db: 0.1771 2022/12/19 20:40:16 - mmengine - INFO - Epoch(train) [87][40/79] lr: 6.5465e-03 eta: 5:41:30 time: 0.2673 data_time: 0.0009 memory: 1833 loss: 1.6626 loss_prob: 0.9602 loss_thr: 0.5361 loss_db: 0.1663 2022/12/19 20:40:17 - mmengine - INFO - Epoch(train) [87][45/79] lr: 6.5465e-03 eta: 5:41:27 time: 0.2691 data_time: 0.0010 memory: 1833 loss: 1.6250 loss_prob: 0.9412 loss_thr: 0.5234 loss_db: 0.1604 2022/12/19 20:40:18 - mmengine - INFO - Epoch(train) [87][50/79] lr: 6.5465e-03 eta: 5:41:26 time: 0.2237 data_time: 0.0009 memory: 1833 loss: 1.6329 loss_prob: 0.9561 loss_thr: 0.5143 loss_db: 0.1625 2022/12/19 20:40:19 - mmengine - INFO - Epoch(train) [87][55/79] lr: 6.5465e-03 eta: 5:41:24 time: 0.2243 data_time: 0.0008 memory: 1833 loss: 1.7217 loss_prob: 1.0151 loss_thr: 0.5367 loss_db: 0.1699 2022/12/19 20:40:20 - mmengine - INFO - Epoch(train) [87][60/79] lr: 6.5465e-03 eta: 5:41:21 time: 0.2088 data_time: 0.0008 memory: 1833 loss: 1.7485 loss_prob: 1.0208 loss_thr: 0.5543 loss_db: 0.1735 2022/12/19 20:40:21 - mmengine - INFO - Epoch(train) [87][65/79] lr: 6.5465e-03 eta: 5:41:17 time: 0.1979 data_time: 0.0008 memory: 1833 loss: 1.7238 loss_prob: 0.9956 loss_thr: 0.5543 loss_db: 0.1739 2022/12/19 20:40:22 - mmengine - INFO - Epoch(train) [87][70/79] lr: 6.5465e-03 eta: 5:41:17 time: 0.2235 data_time: 0.0008 memory: 1833 loss: 1.7926 loss_prob: 1.0597 loss_thr: 0.5533 loss_db: 0.1796 2022/12/19 20:40:23 - mmengine - INFO - Epoch(train) [87][75/79] lr: 6.5465e-03 eta: 5:41:14 time: 0.2267 data_time: 0.0008 memory: 1833 loss: 1.7402 loss_prob: 1.0121 loss_thr: 0.5579 loss_db: 0.1702 2022/12/19 20:40:24 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:40:26 - mmengine - INFO - Epoch(train) [88][5/79] lr: 6.5412e-03 eta: 5:41:19 time: 0.2864 data_time: 0.0218 memory: 1833 loss: 1.7180 loss_prob: 1.0085 loss_thr: 0.5394 loss_db: 0.1701 2022/12/19 20:40:27 - mmengine - INFO - Epoch(train) [88][10/79] lr: 6.5412e-03 eta: 5:41:18 time: 0.3145 data_time: 0.0219 memory: 1833 loss: 1.6408 loss_prob: 0.9534 loss_thr: 0.5249 loss_db: 0.1625 2022/12/19 20:40:28 - mmengine - INFO - Epoch(train) [88][15/79] lr: 6.5412e-03 eta: 5:41:17 time: 0.2394 data_time: 0.0009 memory: 1833 loss: 1.6863 loss_prob: 0.9643 loss_thr: 0.5576 loss_db: 0.1644 2022/12/19 20:40:29 - mmengine - INFO - Epoch(train) [88][20/79] lr: 6.5412e-03 eta: 5:41:14 time: 0.2218 data_time: 0.0008 memory: 1833 loss: 1.8115 loss_prob: 1.0525 loss_thr: 0.5847 loss_db: 0.1742 2022/12/19 20:40:30 - mmengine - INFO - Epoch(train) [88][25/79] lr: 6.5412e-03 eta: 5:41:12 time: 0.2081 data_time: 0.0009 memory: 1833 loss: 1.7653 loss_prob: 1.0261 loss_thr: 0.5690 loss_db: 0.1701 2022/12/19 20:40:32 - mmengine - INFO - Epoch(train) [88][30/79] lr: 6.5412e-03 eta: 5:41:13 time: 0.2432 data_time: 0.0010 memory: 1833 loss: 1.7008 loss_prob: 0.9908 loss_thr: 0.5413 loss_db: 0.1687 2022/12/19 20:40:33 - mmengine - INFO - Epoch(train) [88][35/79] lr: 6.5412e-03 eta: 5:41:13 time: 0.2591 data_time: 0.0010 memory: 1833 loss: 1.6525 loss_prob: 0.9697 loss_thr: 0.5167 loss_db: 0.1661 2022/12/19 20:40:34 - mmengine - INFO - Epoch(train) [88][40/79] lr: 6.5412e-03 eta: 5:41:10 time: 0.2220 data_time: 0.0009 memory: 1833 loss: 1.6412 loss_prob: 0.9527 loss_thr: 0.5245 loss_db: 0.1641 2022/12/19 20:40:35 - mmengine - INFO - Epoch(train) [88][45/79] lr: 6.5412e-03 eta: 5:41:08 time: 0.2114 data_time: 0.0009 memory: 1833 loss: 1.6227 loss_prob: 0.9354 loss_thr: 0.5281 loss_db: 0.1593 2022/12/19 20:40:36 - mmengine - INFO - Epoch(train) [88][50/79] lr: 6.5412e-03 eta: 5:41:05 time: 0.2153 data_time: 0.0010 memory: 1833 loss: 1.5827 loss_prob: 0.8958 loss_thr: 0.5344 loss_db: 0.1525 2022/12/19 20:40:37 - mmengine - INFO - Epoch(train) [88][55/79] lr: 6.5412e-03 eta: 5:41:03 time: 0.2115 data_time: 0.0009 memory: 1833 loss: 1.5217 loss_prob: 0.8664 loss_thr: 0.5064 loss_db: 0.1489 2022/12/19 20:40:38 - mmengine - INFO - Epoch(train) [88][60/79] lr: 6.5412e-03 eta: 5:40:59 time: 0.2065 data_time: 0.0007 memory: 1833 loss: 1.6678 loss_prob: 0.9829 loss_thr: 0.5185 loss_db: 0.1664 2022/12/19 20:40:39 - mmengine - INFO - Epoch(train) [88][65/79] lr: 6.5412e-03 eta: 5:40:57 time: 0.2044 data_time: 0.0006 memory: 1833 loss: 1.8855 loss_prob: 1.1083 loss_thr: 0.5882 loss_db: 0.1891 2022/12/19 20:40:40 - mmengine - INFO - Epoch(train) [88][70/79] lr: 6.5412e-03 eta: 5:40:54 time: 0.2072 data_time: 0.0007 memory: 1833 loss: 1.7225 loss_prob: 0.9809 loss_thr: 0.5737 loss_db: 0.1679 2022/12/19 20:40:41 - mmengine - INFO - Epoch(train) [88][75/79] lr: 6.5412e-03 eta: 5:40:51 time: 0.2076 data_time: 0.0007 memory: 1833 loss: 1.7888 loss_prob: 1.0436 loss_thr: 0.5708 loss_db: 0.1745 2022/12/19 20:40:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:40:44 - mmengine - INFO - Epoch(train) [89][5/79] lr: 6.5359e-03 eta: 5:40:54 time: 0.2737 data_time: 0.0295 memory: 1833 loss: 2.0781 loss_prob: 1.2539 loss_thr: 0.6168 loss_db: 0.2075 2022/12/19 20:40:45 - mmengine - INFO - Epoch(train) [89][10/79] lr: 6.5359e-03 eta: 5:40:54 time: 0.3054 data_time: 0.0296 memory: 1833 loss: 1.7597 loss_prob: 1.0395 loss_thr: 0.5443 loss_db: 0.1759 2022/12/19 20:40:46 - mmengine - INFO - Epoch(train) [89][15/79] lr: 6.5359e-03 eta: 5:40:51 time: 0.2307 data_time: 0.0010 memory: 1833 loss: 1.8216 loss_prob: 1.0793 loss_thr: 0.5565 loss_db: 0.1859 2022/12/19 20:40:47 - mmengine - INFO - Epoch(train) [89][20/79] lr: 6.5359e-03 eta: 5:40:53 time: 0.2395 data_time: 0.0010 memory: 1833 loss: 1.8091 loss_prob: 1.0501 loss_thr: 0.5751 loss_db: 0.1839 2022/12/19 20:40:49 - mmengine - INFO - Epoch(train) [89][25/79] lr: 6.5359e-03 eta: 5:40:50 time: 0.2434 data_time: 0.0012 memory: 1833 loss: 1.7173 loss_prob: 0.9765 loss_thr: 0.5707 loss_db: 0.1700 2022/12/19 20:40:50 - mmengine - INFO - Epoch(train) [89][30/79] lr: 6.5359e-03 eta: 5:40:50 time: 0.2313 data_time: 0.0011 memory: 1833 loss: 1.6365 loss_prob: 0.9330 loss_thr: 0.5403 loss_db: 0.1632 2022/12/19 20:40:51 - mmengine - INFO - Epoch(train) [89][35/79] lr: 6.5359e-03 eta: 5:40:47 time: 0.2259 data_time: 0.0009 memory: 1833 loss: 1.6966 loss_prob: 0.9708 loss_thr: 0.5590 loss_db: 0.1667 2022/12/19 20:40:52 - mmengine - INFO - Epoch(train) [89][40/79] lr: 6.5359e-03 eta: 5:40:47 time: 0.2262 data_time: 0.0009 memory: 1833 loss: 1.8346 loss_prob: 1.0566 loss_thr: 0.6032 loss_db: 0.1749 2022/12/19 20:40:53 - mmengine - INFO - Epoch(train) [89][45/79] lr: 6.5359e-03 eta: 5:40:46 time: 0.2432 data_time: 0.0010 memory: 1833 loss: 1.8907 loss_prob: 1.1113 loss_thr: 0.5979 loss_db: 0.1814 2022/12/19 20:40:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:40:54 - mmengine - INFO - Epoch(train) [89][50/79] lr: 6.5359e-03 eta: 5:40:43 time: 0.2163 data_time: 0.0009 memory: 1833 loss: 1.9311 loss_prob: 1.1554 loss_thr: 0.5846 loss_db: 0.1912 2022/12/19 20:40:55 - mmengine - INFO - Epoch(train) [89][55/79] lr: 6.5359e-03 eta: 5:40:39 time: 0.1984 data_time: 0.0009 memory: 1833 loss: 1.7479 loss_prob: 1.0274 loss_thr: 0.5473 loss_db: 0.1732 2022/12/19 20:40:56 - mmengine - INFO - Epoch(train) [89][60/79] lr: 6.5359e-03 eta: 5:40:38 time: 0.2185 data_time: 0.0008 memory: 1833 loss: 1.5249 loss_prob: 0.8723 loss_thr: 0.5019 loss_db: 0.1507 2022/12/19 20:40:57 - mmengine - INFO - Epoch(train) [89][65/79] lr: 6.5359e-03 eta: 5:40:36 time: 0.2270 data_time: 0.0007 memory: 1833 loss: 1.5527 loss_prob: 0.8871 loss_thr: 0.5136 loss_db: 0.1519 2022/12/19 20:40:58 - mmengine - INFO - Epoch(train) [89][70/79] lr: 6.5359e-03 eta: 5:40:33 time: 0.2104 data_time: 0.0007 memory: 1833 loss: 1.6757 loss_prob: 0.9705 loss_thr: 0.5403 loss_db: 0.1649 2022/12/19 20:41:00 - mmengine - INFO - Epoch(train) [89][75/79] lr: 6.5359e-03 eta: 5:40:32 time: 0.2168 data_time: 0.0007 memory: 1833 loss: 1.6637 loss_prob: 0.9593 loss_thr: 0.5363 loss_db: 0.1681 2022/12/19 20:41:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:41:03 - mmengine - INFO - Epoch(train) [90][5/79] lr: 6.5306e-03 eta: 5:40:45 time: 0.3540 data_time: 0.0621 memory: 1833 loss: 1.7636 loss_prob: 1.0256 loss_thr: 0.5599 loss_db: 0.1781 2022/12/19 20:41:04 - mmengine - INFO - Epoch(train) [90][10/79] lr: 6.5306e-03 eta: 5:40:46 time: 0.3853 data_time: 0.0623 memory: 1833 loss: 1.8151 loss_prob: 1.0687 loss_thr: 0.5587 loss_db: 0.1877 2022/12/19 20:41:05 - mmengine - INFO - Epoch(train) [90][15/79] lr: 6.5306e-03 eta: 5:40:44 time: 0.2433 data_time: 0.0010 memory: 1833 loss: 1.8085 loss_prob: 1.0617 loss_thr: 0.5626 loss_db: 0.1842 2022/12/19 20:41:06 - mmengine - INFO - Epoch(train) [90][20/79] lr: 6.5306e-03 eta: 5:40:42 time: 0.2138 data_time: 0.0011 memory: 1833 loss: 1.7805 loss_prob: 1.0523 loss_thr: 0.5502 loss_db: 0.1780 2022/12/19 20:41:07 - mmengine - INFO - Epoch(train) [90][25/79] lr: 6.5306e-03 eta: 5:40:38 time: 0.2006 data_time: 0.0010 memory: 1833 loss: 1.6512 loss_prob: 0.9694 loss_thr: 0.5179 loss_db: 0.1640 2022/12/19 20:41:08 - mmengine - INFO - Epoch(train) [90][30/79] lr: 6.5306e-03 eta: 5:40:35 time: 0.1969 data_time: 0.0008 memory: 1833 loss: 1.5787 loss_prob: 0.9036 loss_thr: 0.5210 loss_db: 0.1541 2022/12/19 20:41:10 - mmengine - INFO - Epoch(train) [90][35/79] lr: 6.5306e-03 eta: 5:40:35 time: 0.2248 data_time: 0.0008 memory: 1833 loss: 1.7270 loss_prob: 0.9985 loss_thr: 0.5615 loss_db: 0.1670 2022/12/19 20:41:11 - mmengine - INFO - Epoch(train) [90][40/79] lr: 6.5306e-03 eta: 5:40:34 time: 0.2444 data_time: 0.0008 memory: 1833 loss: 1.7518 loss_prob: 1.0190 loss_thr: 0.5623 loss_db: 0.1705 2022/12/19 20:41:12 - mmengine - INFO - Epoch(train) [90][45/79] lr: 6.5306e-03 eta: 5:40:32 time: 0.2312 data_time: 0.0008 memory: 1833 loss: 1.6908 loss_prob: 0.9731 loss_thr: 0.5526 loss_db: 0.1652 2022/12/19 20:41:13 - mmengine - INFO - Epoch(train) [90][50/79] lr: 6.5306e-03 eta: 5:40:29 time: 0.2143 data_time: 0.0007 memory: 1833 loss: 1.7659 loss_prob: 1.0213 loss_thr: 0.5701 loss_db: 0.1744 2022/12/19 20:41:14 - mmengine - INFO - Epoch(train) [90][55/79] lr: 6.5306e-03 eta: 5:40:26 time: 0.2018 data_time: 0.0006 memory: 1833 loss: 1.7428 loss_prob: 0.9918 loss_thr: 0.5831 loss_db: 0.1679 2022/12/19 20:41:15 - mmengine - INFO - Epoch(train) [90][60/79] lr: 6.5306e-03 eta: 5:40:22 time: 0.1956 data_time: 0.0006 memory: 1833 loss: 1.6228 loss_prob: 0.9226 loss_thr: 0.5443 loss_db: 0.1559 2022/12/19 20:41:16 - mmengine - INFO - Epoch(train) [90][65/79] lr: 6.5306e-03 eta: 5:40:22 time: 0.2229 data_time: 0.0006 memory: 1833 loss: 1.5661 loss_prob: 0.9029 loss_thr: 0.5080 loss_db: 0.1551 2022/12/19 20:41:17 - mmengine - INFO - Epoch(train) [90][70/79] lr: 6.5306e-03 eta: 5:40:19 time: 0.2267 data_time: 0.0007 memory: 1833 loss: 1.6691 loss_prob: 0.9633 loss_thr: 0.5406 loss_db: 0.1652 2022/12/19 20:41:18 - mmengine - INFO - Epoch(train) [90][75/79] lr: 6.5306e-03 eta: 5:40:16 time: 0.2035 data_time: 0.0006 memory: 1833 loss: 1.6599 loss_prob: 0.9424 loss_thr: 0.5524 loss_db: 0.1652 2022/12/19 20:41:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:41:21 - mmengine - INFO - Epoch(train) [91][5/79] lr: 6.5253e-03 eta: 5:40:27 time: 0.3332 data_time: 0.0422 memory: 1833 loss: 1.7659 loss_prob: 1.0250 loss_thr: 0.5686 loss_db: 0.1722 2022/12/19 20:41:22 - mmengine - INFO - Epoch(train) [91][10/79] lr: 6.5253e-03 eta: 5:40:25 time: 0.3406 data_time: 0.0421 memory: 1833 loss: 1.7682 loss_prob: 1.0293 loss_thr: 0.5656 loss_db: 0.1733 2022/12/19 20:41:24 - mmengine - INFO - Epoch(train) [91][15/79] lr: 6.5253e-03 eta: 5:40:25 time: 0.2390 data_time: 0.0008 memory: 1833 loss: 1.7345 loss_prob: 1.0013 loss_thr: 0.5592 loss_db: 0.1740 2022/12/19 20:41:25 - mmengine - INFO - Epoch(train) [91][20/79] lr: 6.5253e-03 eta: 5:40:26 time: 0.2646 data_time: 0.0008 memory: 1833 loss: 1.7195 loss_prob: 0.9896 loss_thr: 0.5597 loss_db: 0.1702 2022/12/19 20:41:26 - mmengine - INFO - Epoch(train) [91][25/79] lr: 6.5253e-03 eta: 5:40:24 time: 0.2426 data_time: 0.0008 memory: 1833 loss: 1.6075 loss_prob: 0.9185 loss_thr: 0.5303 loss_db: 0.1587 2022/12/19 20:41:27 - mmengine - INFO - Epoch(train) [91][30/79] lr: 6.5253e-03 eta: 5:40:21 time: 0.2112 data_time: 0.0008 memory: 1833 loss: 1.5413 loss_prob: 0.8737 loss_thr: 0.5168 loss_db: 0.1509 2022/12/19 20:41:28 - mmengine - INFO - Epoch(train) [91][35/79] lr: 6.5253e-03 eta: 5:40:19 time: 0.2058 data_time: 0.0009 memory: 1833 loss: 1.6145 loss_prob: 0.9276 loss_thr: 0.5300 loss_db: 0.1569 2022/12/19 20:41:29 - mmengine - INFO - Epoch(train) [91][40/79] lr: 6.5253e-03 eta: 5:40:15 time: 0.2014 data_time: 0.0008 memory: 1833 loss: 1.7342 loss_prob: 1.0256 loss_thr: 0.5358 loss_db: 0.1728 2022/12/19 20:41:30 - mmengine - INFO - Epoch(train) [91][45/79] lr: 6.5253e-03 eta: 5:40:14 time: 0.2135 data_time: 0.0007 memory: 1833 loss: 1.6615 loss_prob: 0.9650 loss_thr: 0.5309 loss_db: 0.1657 2022/12/19 20:41:31 - mmengine - INFO - Epoch(train) [91][50/79] lr: 6.5253e-03 eta: 5:40:12 time: 0.2234 data_time: 0.0007 memory: 1833 loss: 1.5440 loss_prob: 0.8678 loss_thr: 0.5242 loss_db: 0.1519 2022/12/19 20:41:32 - mmengine - INFO - Epoch(train) [91][55/79] lr: 6.5253e-03 eta: 5:40:07 time: 0.1959 data_time: 0.0006 memory: 1833 loss: 1.5414 loss_prob: 0.8704 loss_thr: 0.5227 loss_db: 0.1483 2022/12/19 20:41:33 - mmengine - INFO - Epoch(train) [91][60/79] lr: 6.5253e-03 eta: 5:40:04 time: 0.1869 data_time: 0.0010 memory: 1833 loss: 1.6476 loss_prob: 0.9442 loss_thr: 0.5424 loss_db: 0.1610 2022/12/19 20:41:35 - mmengine - INFO - Epoch(train) [91][65/79] lr: 6.5253e-03 eta: 5:40:03 time: 0.2181 data_time: 0.0012 memory: 1833 loss: 1.7543 loss_prob: 1.0114 loss_thr: 0.5694 loss_db: 0.1735 2022/12/19 20:41:35 - mmengine - INFO - Epoch(train) [91][70/79] lr: 6.5253e-03 eta: 5:39:59 time: 0.2148 data_time: 0.0008 memory: 1833 loss: 1.9655 loss_prob: 1.1675 loss_thr: 0.6023 loss_db: 0.1956 2022/12/19 20:41:37 - mmengine - INFO - Epoch(train) [91][75/79] lr: 6.5253e-03 eta: 5:39:57 time: 0.2076 data_time: 0.0007 memory: 1833 loss: 1.9914 loss_prob: 1.1861 loss_thr: 0.6050 loss_db: 0.2002 2022/12/19 20:41:37 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:41:39 - mmengine - INFO - Epoch(train) [92][5/79] lr: 6.5200e-03 eta: 5:40:05 time: 0.3073 data_time: 0.0470 memory: 1833 loss: 1.6549 loss_prob: 0.9556 loss_thr: 0.5353 loss_db: 0.1641 2022/12/19 20:41:41 - mmengine - INFO - Epoch(train) [92][10/79] lr: 6.5200e-03 eta: 5:40:03 time: 0.3238 data_time: 0.0470 memory: 1833 loss: 1.6215 loss_prob: 0.9276 loss_thr: 0.5351 loss_db: 0.1589 2022/12/19 20:41:42 - mmengine - INFO - Epoch(train) [92][15/79] lr: 6.5200e-03 eta: 5:40:00 time: 0.2092 data_time: 0.0008 memory: 1833 loss: 1.5869 loss_prob: 0.9008 loss_thr: 0.5294 loss_db: 0.1568 2022/12/19 20:41:43 - mmengine - INFO - Epoch(train) [92][20/79] lr: 6.5200e-03 eta: 5:39:57 time: 0.2023 data_time: 0.0008 memory: 1833 loss: 1.6581 loss_prob: 0.9685 loss_thr: 0.5212 loss_db: 0.1683 2022/12/19 20:41:44 - mmengine - INFO - Epoch(train) [92][25/79] lr: 6.5200e-03 eta: 5:39:55 time: 0.2156 data_time: 0.0008 memory: 1833 loss: 1.6466 loss_prob: 0.9621 loss_thr: 0.5183 loss_db: 0.1662 2022/12/19 20:41:45 - mmengine - INFO - Epoch(train) [92][30/79] lr: 6.5200e-03 eta: 5:39:52 time: 0.2109 data_time: 0.0007 memory: 1833 loss: 1.5991 loss_prob: 0.9194 loss_thr: 0.5211 loss_db: 0.1586 2022/12/19 20:41:46 - mmengine - INFO - Epoch(train) [92][35/79] lr: 6.5200e-03 eta: 5:39:53 time: 0.2310 data_time: 0.0007 memory: 1833 loss: 1.6377 loss_prob: 0.9491 loss_thr: 0.5257 loss_db: 0.1629 2022/12/19 20:41:47 - mmengine - INFO - Epoch(train) [92][40/79] lr: 6.5200e-03 eta: 5:39:51 time: 0.2438 data_time: 0.0008 memory: 1833 loss: 1.5318 loss_prob: 0.8738 loss_thr: 0.5089 loss_db: 0.1491 2022/12/19 20:41:48 - mmengine - INFO - Epoch(train) [92][45/79] lr: 6.5200e-03 eta: 5:39:48 time: 0.2153 data_time: 0.0007 memory: 1833 loss: 1.6170 loss_prob: 0.9257 loss_thr: 0.5321 loss_db: 0.1592 2022/12/19 20:41:49 - mmengine - INFO - Epoch(train) [92][50/79] lr: 6.5200e-03 eta: 5:39:45 time: 0.2076 data_time: 0.0007 memory: 1833 loss: 1.7679 loss_prob: 1.0397 loss_thr: 0.5528 loss_db: 0.1754 2022/12/19 20:41:50 - mmengine - INFO - Epoch(train) [92][55/79] lr: 6.5200e-03 eta: 5:39:43 time: 0.2133 data_time: 0.0006 memory: 1833 loss: 1.8090 loss_prob: 1.0524 loss_thr: 0.5820 loss_db: 0.1747 2022/12/19 20:41:51 - mmengine - INFO - Epoch(train) [92][60/79] lr: 6.5200e-03 eta: 5:39:42 time: 0.2205 data_time: 0.0008 memory: 1833 loss: 1.7388 loss_prob: 0.9837 loss_thr: 0.5867 loss_db: 0.1683 2022/12/19 20:41:52 - mmengine - INFO - Epoch(train) [92][65/79] lr: 6.5200e-03 eta: 5:39:39 time: 0.2186 data_time: 0.0008 memory: 1833 loss: 1.6564 loss_prob: 0.9329 loss_thr: 0.5618 loss_db: 0.1617 2022/12/19 20:41:54 - mmengine - INFO - Epoch(train) [92][70/79] lr: 6.5200e-03 eta: 5:39:38 time: 0.2222 data_time: 0.0007 memory: 1833 loss: 1.7854 loss_prob: 1.0304 loss_thr: 0.5811 loss_db: 0.1738 2022/12/19 20:41:55 - mmengine - INFO - Epoch(train) [92][75/79] lr: 6.5200e-03 eta: 5:39:37 time: 0.2333 data_time: 0.0011 memory: 1833 loss: 1.8646 loss_prob: 1.0872 loss_thr: 0.5929 loss_db: 0.1845 2022/12/19 20:41:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:41:58 - mmengine - INFO - Epoch(train) [93][5/79] lr: 6.5147e-03 eta: 5:39:44 time: 0.3094 data_time: 0.1157 memory: 1833 loss: 1.7981 loss_prob: 1.0443 loss_thr: 0.5764 loss_db: 0.1774 2022/12/19 20:41:59 - mmengine - INFO - Epoch(train) [93][10/79] lr: 6.5147e-03 eta: 5:39:41 time: 0.3116 data_time: 0.1157 memory: 1833 loss: 1.6354 loss_prob: 0.9384 loss_thr: 0.5341 loss_db: 0.1628 2022/12/19 20:42:00 - mmengine - INFO - Epoch(train) [93][15/79] lr: 6.5147e-03 eta: 5:39:40 time: 0.2194 data_time: 0.0007 memory: 1833 loss: 1.5786 loss_prob: 0.8987 loss_thr: 0.5227 loss_db: 0.1572 2022/12/19 20:42:01 - mmengine - INFO - Epoch(train) [93][20/79] lr: 6.5147e-03 eta: 5:39:38 time: 0.2302 data_time: 0.0007 memory: 1833 loss: 1.5605 loss_prob: 0.8659 loss_thr: 0.5445 loss_db: 0.1500 2022/12/19 20:42:02 - mmengine - INFO - Epoch(train) [93][25/79] lr: 6.5147e-03 eta: 5:39:36 time: 0.2125 data_time: 0.0007 memory: 1833 loss: 1.6605 loss_prob: 0.9333 loss_thr: 0.5675 loss_db: 0.1597 2022/12/19 20:42:03 - mmengine - INFO - Epoch(train) [93][30/79] lr: 6.5147e-03 eta: 5:39:32 time: 0.2036 data_time: 0.0007 memory: 1833 loss: 1.7638 loss_prob: 1.0233 loss_thr: 0.5680 loss_db: 0.1725 2022/12/19 20:42:04 - mmengine - INFO - Epoch(train) [93][35/79] lr: 6.5147e-03 eta: 5:39:31 time: 0.2153 data_time: 0.0007 memory: 1833 loss: 1.6411 loss_prob: 0.9525 loss_thr: 0.5255 loss_db: 0.1631 2022/12/19 20:42:05 - mmengine - INFO - Epoch(train) [93][40/79] lr: 6.5147e-03 eta: 5:39:29 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 1.5849 loss_prob: 0.9002 loss_thr: 0.5270 loss_db: 0.1577 2022/12/19 20:42:06 - mmengine - INFO - Epoch(train) [93][45/79] lr: 6.5147e-03 eta: 5:39:28 time: 0.2233 data_time: 0.0008 memory: 1833 loss: 1.6389 loss_prob: 0.9303 loss_thr: 0.5495 loss_db: 0.1590 2022/12/19 20:42:08 - mmengine - INFO - Epoch(train) [93][50/79] lr: 6.5147e-03 eta: 5:39:28 time: 0.2420 data_time: 0.0010 memory: 1833 loss: 1.7723 loss_prob: 1.0457 loss_thr: 0.5626 loss_db: 0.1640 2022/12/19 20:42:09 - mmengine - INFO - Epoch(train) [93][55/79] lr: 6.5147e-03 eta: 5:39:26 time: 0.2348 data_time: 0.0009 memory: 1833 loss: 1.8595 loss_prob: 1.1178 loss_thr: 0.5627 loss_db: 0.1790 2022/12/19 20:42:10 - mmengine - INFO - Epoch(train) [93][60/79] lr: 6.5147e-03 eta: 5:39:22 time: 0.2065 data_time: 0.0006 memory: 1833 loss: 1.8491 loss_prob: 1.1027 loss_thr: 0.5536 loss_db: 0.1927 2022/12/19 20:42:11 - mmengine - INFO - Epoch(train) [93][65/79] lr: 6.5147e-03 eta: 5:39:18 time: 0.1900 data_time: 0.0006 memory: 1833 loss: 1.6987 loss_prob: 0.9830 loss_thr: 0.5417 loss_db: 0.1740 2022/12/19 20:42:11 - mmengine - INFO - Epoch(train) [93][70/79] lr: 6.5147e-03 eta: 5:39:13 time: 0.1774 data_time: 0.0006 memory: 1833 loss: 1.8486 loss_prob: 1.0877 loss_thr: 0.5726 loss_db: 0.1883 2022/12/19 20:42:13 - mmengine - INFO - Epoch(train) [93][75/79] lr: 6.5147e-03 eta: 5:39:11 time: 0.1909 data_time: 0.0006 memory: 1833 loss: 2.0741 loss_prob: 1.2530 loss_thr: 0.6102 loss_db: 0.2109 2022/12/19 20:42:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:42:15 - mmengine - INFO - Epoch(train) [94][5/79] lr: 6.5094e-03 eta: 5:39:18 time: 0.3094 data_time: 0.0516 memory: 1833 loss: 1.7929 loss_prob: 1.0565 loss_thr: 0.5568 loss_db: 0.1796 2022/12/19 20:42:16 - mmengine - INFO - Epoch(train) [94][10/79] lr: 6.5094e-03 eta: 5:39:15 time: 0.3213 data_time: 0.0517 memory: 1833 loss: 1.8415 loss_prob: 1.0686 loss_thr: 0.5903 loss_db: 0.1826 2022/12/19 20:42:18 - mmengine - INFO - Epoch(train) [94][15/79] lr: 6.5094e-03 eta: 5:39:16 time: 0.2324 data_time: 0.0007 memory: 1833 loss: 1.7688 loss_prob: 1.0209 loss_thr: 0.5753 loss_db: 0.1726 2022/12/19 20:42:19 - mmengine - INFO - Epoch(train) [94][20/79] lr: 6.5094e-03 eta: 5:39:12 time: 0.2216 data_time: 0.0007 memory: 1833 loss: 1.6883 loss_prob: 0.9679 loss_thr: 0.5557 loss_db: 0.1647 2022/12/19 20:42:20 - mmengine - INFO - Epoch(train) [94][25/79] lr: 6.5094e-03 eta: 5:39:11 time: 0.2123 data_time: 0.0007 memory: 1833 loss: 1.7263 loss_prob: 1.0083 loss_thr: 0.5478 loss_db: 0.1702 2022/12/19 20:42:21 - mmengine - INFO - Epoch(train) [94][30/79] lr: 6.5094e-03 eta: 5:39:09 time: 0.2258 data_time: 0.0007 memory: 1833 loss: 1.9621 loss_prob: 1.1715 loss_thr: 0.5943 loss_db: 0.1963 2022/12/19 20:42:22 - mmengine - INFO - Epoch(train) [94][35/79] lr: 6.5094e-03 eta: 5:39:06 time: 0.2112 data_time: 0.0007 memory: 1833 loss: 1.7996 loss_prob: 1.0512 loss_thr: 0.5674 loss_db: 0.1810 2022/12/19 20:42:23 - mmengine - INFO - Epoch(train) [94][40/79] lr: 6.5094e-03 eta: 5:39:05 time: 0.2239 data_time: 0.0010 memory: 1833 loss: 1.6029 loss_prob: 0.9168 loss_thr: 0.5307 loss_db: 0.1554 2022/12/19 20:42:24 - mmengine - INFO - Epoch(train) [94][45/79] lr: 6.5094e-03 eta: 5:39:04 time: 0.2339 data_time: 0.0010 memory: 1833 loss: 1.7065 loss_prob: 0.9836 loss_thr: 0.5567 loss_db: 0.1662 2022/12/19 20:42:25 - mmengine - INFO - Epoch(train) [94][50/79] lr: 6.5094e-03 eta: 5:39:02 time: 0.2245 data_time: 0.0007 memory: 1833 loss: 1.6691 loss_prob: 0.9637 loss_thr: 0.5417 loss_db: 0.1637 2022/12/19 20:42:26 - mmengine - INFO - Epoch(train) [94][55/79] lr: 6.5094e-03 eta: 5:38:59 time: 0.2100 data_time: 0.0007 memory: 1833 loss: 1.6632 loss_prob: 0.9619 loss_thr: 0.5377 loss_db: 0.1636 2022/12/19 20:42:28 - mmengine - INFO - Epoch(train) [94][60/79] lr: 6.5094e-03 eta: 5:38:58 time: 0.2178 data_time: 0.0006 memory: 1833 loss: 1.6798 loss_prob: 0.9679 loss_thr: 0.5471 loss_db: 0.1648 2022/12/19 20:42:29 - mmengine - INFO - Epoch(train) [94][65/79] lr: 6.5094e-03 eta: 5:38:54 time: 0.2136 data_time: 0.0006 memory: 1833 loss: 1.8264 loss_prob: 1.0839 loss_thr: 0.5607 loss_db: 0.1818 2022/12/19 20:42:30 - mmengine - INFO - Epoch(train) [94][70/79] lr: 6.5094e-03 eta: 5:38:52 time: 0.2012 data_time: 0.0006 memory: 1833 loss: 1.8274 loss_prob: 1.0944 loss_thr: 0.5479 loss_db: 0.1851 2022/12/19 20:42:31 - mmengine - INFO - Epoch(train) [94][75/79] lr: 6.5094e-03 eta: 5:38:50 time: 0.2171 data_time: 0.0006 memory: 1833 loss: 1.6164 loss_prob: 0.9413 loss_thr: 0.5153 loss_db: 0.1599 2022/12/19 20:42:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:42:34 - mmengine - INFO - Epoch(train) [95][5/79] lr: 6.5041e-03 eta: 5:38:57 time: 0.3034 data_time: 0.0462 memory: 1833 loss: 1.5555 loss_prob: 0.8692 loss_thr: 0.5359 loss_db: 0.1504 2022/12/19 20:42:35 - mmengine - INFO - Epoch(train) [95][10/79] lr: 6.5041e-03 eta: 5:38:56 time: 0.3383 data_time: 0.0462 memory: 1833 loss: 1.4733 loss_prob: 0.8123 loss_thr: 0.5210 loss_db: 0.1400 2022/12/19 20:42:36 - mmengine - INFO - Epoch(train) [95][15/79] lr: 6.5041e-03 eta: 5:38:53 time: 0.2181 data_time: 0.0007 memory: 1833 loss: 1.6452 loss_prob: 0.9416 loss_thr: 0.5409 loss_db: 0.1628 2022/12/19 20:42:37 - mmengine - INFO - Epoch(train) [95][20/79] lr: 6.5041e-03 eta: 5:38:51 time: 0.2058 data_time: 0.0007 memory: 1833 loss: 1.6344 loss_prob: 0.9352 loss_thr: 0.5375 loss_db: 0.1617 2022/12/19 20:42:38 - mmengine - INFO - Epoch(train) [95][25/79] lr: 6.5041e-03 eta: 5:38:47 time: 0.2032 data_time: 0.0007 memory: 1833 loss: 1.6051 loss_prob: 0.9144 loss_thr: 0.5345 loss_db: 0.1562 2022/12/19 20:42:39 - mmengine - INFO - Epoch(train) [95][30/79] lr: 6.5041e-03 eta: 5:38:49 time: 0.2375 data_time: 0.0008 memory: 1833 loss: 1.7992 loss_prob: 1.0394 loss_thr: 0.5804 loss_db: 0.1794 2022/12/19 20:42:40 - mmengine - INFO - Epoch(train) [95][35/79] lr: 6.5041e-03 eta: 5:38:47 time: 0.2485 data_time: 0.0008 memory: 1833 loss: 1.8684 loss_prob: 1.0911 loss_thr: 0.5871 loss_db: 0.1902 2022/12/19 20:42:41 - mmengine - INFO - Epoch(train) [95][40/79] lr: 6.5041e-03 eta: 5:38:45 time: 0.2182 data_time: 0.0008 memory: 1833 loss: 1.6933 loss_prob: 0.9885 loss_thr: 0.5308 loss_db: 0.1740 2022/12/19 20:42:42 - mmengine - INFO - Epoch(train) [95][45/79] lr: 6.5041e-03 eta: 5:38:42 time: 0.2154 data_time: 0.0008 memory: 1833 loss: 1.7017 loss_prob: 0.9930 loss_thr: 0.5380 loss_db: 0.1707 2022/12/19 20:42:43 - mmengine - INFO - Epoch(train) [95][50/79] lr: 6.5041e-03 eta: 5:38:39 time: 0.1994 data_time: 0.0008 memory: 1833 loss: 1.7581 loss_prob: 1.0242 loss_thr: 0.5612 loss_db: 0.1728 2022/12/19 20:42:44 - mmengine - INFO - Epoch(train) [95][55/79] lr: 6.5041e-03 eta: 5:38:36 time: 0.1972 data_time: 0.0007 memory: 1833 loss: 1.6455 loss_prob: 0.9497 loss_thr: 0.5321 loss_db: 0.1636 2022/12/19 20:42:46 - mmengine - INFO - Epoch(train) [95][60/79] lr: 6.5041e-03 eta: 5:38:35 time: 0.2160 data_time: 0.0007 memory: 1833 loss: 1.5654 loss_prob: 0.8952 loss_thr: 0.5176 loss_db: 0.1526 2022/12/19 20:42:47 - mmengine - INFO - Epoch(train) [95][65/79] lr: 6.5041e-03 eta: 5:38:32 time: 0.2237 data_time: 0.0007 memory: 1833 loss: 1.5526 loss_prob: 0.8749 loss_thr: 0.5293 loss_db: 0.1484 2022/12/19 20:42:48 - mmengine - INFO - Epoch(train) [95][70/79] lr: 6.5041e-03 eta: 5:38:31 time: 0.2224 data_time: 0.0007 memory: 1833 loss: 1.6907 loss_prob: 0.9561 loss_thr: 0.5693 loss_db: 0.1653 2022/12/19 20:42:49 - mmengine - INFO - Epoch(train) [95][75/79] lr: 6.5041e-03 eta: 5:38:29 time: 0.2246 data_time: 0.0007 memory: 1833 loss: 1.6372 loss_prob: 0.9316 loss_thr: 0.5452 loss_db: 0.1604 2022/12/19 20:42:50 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:42:52 - mmengine - INFO - Epoch(train) [96][5/79] lr: 6.4988e-03 eta: 5:38:33 time: 0.2779 data_time: 0.0429 memory: 1833 loss: 1.7317 loss_prob: 0.9997 loss_thr: 0.5603 loss_db: 0.1717 2022/12/19 20:42:53 - mmengine - INFO - Epoch(train) [96][10/79] lr: 6.4988e-03 eta: 5:38:30 time: 0.2812 data_time: 0.0430 memory: 1833 loss: 1.7317 loss_prob: 1.0111 loss_thr: 0.5538 loss_db: 0.1669 2022/12/19 20:42:54 - mmengine - INFO - Epoch(train) [96][15/79] lr: 6.4988e-03 eta: 5:38:29 time: 0.2224 data_time: 0.0008 memory: 1833 loss: 1.7758 loss_prob: 1.0608 loss_thr: 0.5401 loss_db: 0.1749 2022/12/19 20:42:55 - mmengine - INFO - Epoch(train) [96][20/79] lr: 6.4988e-03 eta: 5:38:30 time: 0.2474 data_time: 0.0009 memory: 1833 loss: 1.7135 loss_prob: 1.0198 loss_thr: 0.5207 loss_db: 0.1730 2022/12/19 20:42:56 - mmengine - INFO - Epoch(train) [96][25/79] lr: 6.4988e-03 eta: 5:38:27 time: 0.2332 data_time: 0.0009 memory: 1833 loss: 1.6032 loss_prob: 0.9280 loss_thr: 0.5163 loss_db: 0.1589 2022/12/19 20:42:57 - mmengine - INFO - Epoch(train) [96][30/79] lr: 6.4988e-03 eta: 5:38:26 time: 0.2208 data_time: 0.0008 memory: 1833 loss: 1.5443 loss_prob: 0.8797 loss_thr: 0.5131 loss_db: 0.1515 2022/12/19 20:42:58 - mmengine - INFO - Epoch(train) [96][35/79] lr: 6.4988e-03 eta: 5:38:23 time: 0.2161 data_time: 0.0008 memory: 1833 loss: 1.6618 loss_prob: 0.9638 loss_thr: 0.5360 loss_db: 0.1620 2022/12/19 20:42:59 - mmengine - INFO - Epoch(train) [96][40/79] lr: 6.4988e-03 eta: 5:38:20 time: 0.2046 data_time: 0.0008 memory: 1833 loss: 1.8612 loss_prob: 1.0925 loss_thr: 0.5814 loss_db: 0.1872 2022/12/19 20:43:00 - mmengine - INFO - Epoch(train) [96][45/79] lr: 6.4988e-03 eta: 5:38:18 time: 0.2090 data_time: 0.0008 memory: 1833 loss: 1.8421 loss_prob: 1.0709 loss_thr: 0.5844 loss_db: 0.1867 2022/12/19 20:43:01 - mmengine - INFO - Epoch(train) [96][50/79] lr: 6.4988e-03 eta: 5:38:15 time: 0.2069 data_time: 0.0007 memory: 1833 loss: 1.6128 loss_prob: 0.9165 loss_thr: 0.5368 loss_db: 0.1595 2022/12/19 20:43:02 - mmengine - INFO - Epoch(train) [96][55/79] lr: 6.4988e-03 eta: 5:38:12 time: 0.2050 data_time: 0.0007 memory: 1833 loss: 1.6940 loss_prob: 0.9736 loss_thr: 0.5518 loss_db: 0.1686 2022/12/19 20:43:04 - mmengine - INFO - Epoch(train) [96][60/79] lr: 6.4988e-03 eta: 5:38:12 time: 0.2246 data_time: 0.0006 memory: 1833 loss: 1.7789 loss_prob: 1.0379 loss_thr: 0.5640 loss_db: 0.1769 2022/12/19 20:43:05 - mmengine - INFO - Epoch(train) [96][65/79] lr: 6.4988e-03 eta: 5:38:08 time: 0.2188 data_time: 0.0006 memory: 1833 loss: 1.6621 loss_prob: 0.9604 loss_thr: 0.5368 loss_db: 0.1648 2022/12/19 20:43:06 - mmengine - INFO - Epoch(train) [96][70/79] lr: 6.4988e-03 eta: 5:38:05 time: 0.1965 data_time: 0.0006 memory: 1833 loss: 1.5829 loss_prob: 0.9058 loss_thr: 0.5193 loss_db: 0.1578 2022/12/19 20:43:07 - mmengine - INFO - Epoch(train) [96][75/79] lr: 6.4988e-03 eta: 5:38:02 time: 0.1982 data_time: 0.0006 memory: 1833 loss: 1.6414 loss_prob: 0.9397 loss_thr: 0.5371 loss_db: 0.1646 2022/12/19 20:43:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:43:09 - mmengine - INFO - Epoch(train) [97][5/79] lr: 6.4935e-03 eta: 5:38:07 time: 0.2868 data_time: 0.0213 memory: 1833 loss: 1.6643 loss_prob: 0.9553 loss_thr: 0.5433 loss_db: 0.1657 2022/12/19 20:43:10 - mmengine - INFO - Epoch(train) [97][10/79] lr: 6.4935e-03 eta: 5:38:04 time: 0.2852 data_time: 0.0213 memory: 1833 loss: 1.6624 loss_prob: 0.9524 loss_thr: 0.5473 loss_db: 0.1627 2022/12/19 20:43:12 - mmengine - INFO - Epoch(train) [97][15/79] lr: 6.4935e-03 eta: 5:38:05 time: 0.2328 data_time: 0.0008 memory: 1833 loss: 2.0347 loss_prob: 1.2584 loss_thr: 0.5833 loss_db: 0.1930 2022/12/19 20:43:13 - mmengine - INFO - Epoch(train) [97][20/79] lr: 6.4935e-03 eta: 5:38:05 time: 0.2630 data_time: 0.0008 memory: 1833 loss: 2.1552 loss_prob: 1.3468 loss_thr: 0.5983 loss_db: 0.2101 2022/12/19 20:43:14 - mmengine - INFO - Epoch(train) [97][25/79] lr: 6.4935e-03 eta: 5:38:02 time: 0.2321 data_time: 0.0008 memory: 1833 loss: 1.8350 loss_prob: 1.0740 loss_thr: 0.5798 loss_db: 0.1812 2022/12/19 20:43:15 - mmengine - INFO - Epoch(train) [97][30/79] lr: 6.4935e-03 eta: 5:38:00 time: 0.2139 data_time: 0.0008 memory: 1833 loss: 1.5984 loss_prob: 0.9078 loss_thr: 0.5388 loss_db: 0.1518 2022/12/19 20:43:16 - mmengine - INFO - Epoch(train) [97][35/79] lr: 6.4935e-03 eta: 5:37:58 time: 0.2184 data_time: 0.0008 memory: 1833 loss: 1.5739 loss_prob: 0.8992 loss_thr: 0.5214 loss_db: 0.1533 2022/12/19 20:43:17 - mmengine - INFO - Epoch(train) [97][40/79] lr: 6.4935e-03 eta: 5:37:57 time: 0.2258 data_time: 0.0008 memory: 1833 loss: 1.6623 loss_prob: 0.9588 loss_thr: 0.5408 loss_db: 0.1627 2022/12/19 20:43:18 - mmengine - INFO - Epoch(train) [97][45/79] lr: 6.4935e-03 eta: 5:37:55 time: 0.2220 data_time: 0.0008 memory: 1833 loss: 1.6549 loss_prob: 0.9583 loss_thr: 0.5377 loss_db: 0.1590 2022/12/19 20:43:20 - mmengine - INFO - Epoch(train) [97][50/79] lr: 6.4935e-03 eta: 5:37:54 time: 0.2268 data_time: 0.0007 memory: 1833 loss: 1.7814 loss_prob: 1.0342 loss_thr: 0.5755 loss_db: 0.1717 2022/12/19 20:43:21 - mmengine - INFO - Epoch(train) [97][55/79] lr: 6.4935e-03 eta: 5:37:52 time: 0.2303 data_time: 0.0007 memory: 1833 loss: 1.8671 loss_prob: 1.0890 loss_thr: 0.5915 loss_db: 0.1866 2022/12/19 20:43:22 - mmengine - INFO - Epoch(train) [97][60/79] lr: 6.4935e-03 eta: 5:37:49 time: 0.2046 data_time: 0.0006 memory: 1833 loss: 1.7514 loss_prob: 1.0243 loss_thr: 0.5506 loss_db: 0.1765 2022/12/19 20:43:23 - mmengine - INFO - Epoch(train) [97][65/79] lr: 6.4935e-03 eta: 5:37:46 time: 0.1997 data_time: 0.0006 memory: 1833 loss: 1.5743 loss_prob: 0.8970 loss_thr: 0.5276 loss_db: 0.1496 2022/12/19 20:43:24 - mmengine - INFO - Epoch(train) [97][70/79] lr: 6.4935e-03 eta: 5:37:43 time: 0.2072 data_time: 0.0006 memory: 1833 loss: 1.5425 loss_prob: 0.8596 loss_thr: 0.5365 loss_db: 0.1463 2022/12/19 20:43:25 - mmengine - INFO - Epoch(train) [97][75/79] lr: 6.4935e-03 eta: 5:37:44 time: 0.2314 data_time: 0.0006 memory: 1833 loss: 1.7225 loss_prob: 0.9894 loss_thr: 0.5604 loss_db: 0.1727 2022/12/19 20:43:26 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:43:29 - mmengine - INFO - Epoch(train) [98][5/79] lr: 6.4882e-03 eta: 5:38:00 time: 0.3990 data_time: 0.0295 memory: 1833 loss: 1.6718 loss_prob: 0.9603 loss_thr: 0.5503 loss_db: 0.1613 2022/12/19 20:43:30 - mmengine - INFO - Epoch(train) [98][10/79] lr: 6.4882e-03 eta: 5:37:59 time: 0.4047 data_time: 0.0295 memory: 1833 loss: 1.5908 loss_prob: 0.8938 loss_thr: 0.5422 loss_db: 0.1549 2022/12/19 20:43:31 - mmengine - INFO - Epoch(train) [98][15/79] lr: 6.4882e-03 eta: 5:37:57 time: 0.2282 data_time: 0.0008 memory: 1833 loss: 1.7966 loss_prob: 1.0503 loss_thr: 0.5673 loss_db: 0.1790 2022/12/19 20:43:32 - mmengine - INFO - Epoch(train) [98][20/79] lr: 6.4882e-03 eta: 5:37:57 time: 0.2393 data_time: 0.0008 memory: 1833 loss: 1.8981 loss_prob: 1.1186 loss_thr: 0.5866 loss_db: 0.1930 2022/12/19 20:43:33 - mmengine - INFO - Epoch(train) [98][25/79] lr: 6.4882e-03 eta: 5:37:56 time: 0.2461 data_time: 0.0009 memory: 1833 loss: 1.6843 loss_prob: 0.9760 loss_thr: 0.5386 loss_db: 0.1696 2022/12/19 20:43:34 - mmengine - INFO - Epoch(train) [98][30/79] lr: 6.4882e-03 eta: 5:37:54 time: 0.2257 data_time: 0.0008 memory: 1833 loss: 1.6709 loss_prob: 0.9760 loss_thr: 0.5296 loss_db: 0.1654 2022/12/19 20:43:36 - mmengine - INFO - Epoch(train) [98][35/79] lr: 6.4882e-03 eta: 5:37:53 time: 0.2266 data_time: 0.0007 memory: 1833 loss: 1.5921 loss_prob: 0.9076 loss_thr: 0.5289 loss_db: 0.1555 2022/12/19 20:43:37 - mmengine - INFO - Epoch(train) [98][40/79] lr: 6.4882e-03 eta: 5:37:52 time: 0.2342 data_time: 0.0008 memory: 1833 loss: 1.5003 loss_prob: 0.8418 loss_thr: 0.5125 loss_db: 0.1461 2022/12/19 20:43:38 - mmengine - INFO - Epoch(train) [98][45/79] lr: 6.4882e-03 eta: 5:37:50 time: 0.2269 data_time: 0.0008 memory: 1833 loss: 1.6390 loss_prob: 0.9382 loss_thr: 0.5426 loss_db: 0.1583 2022/12/19 20:43:39 - mmengine - INFO - Epoch(train) [98][50/79] lr: 6.4882e-03 eta: 5:37:49 time: 0.2260 data_time: 0.0007 memory: 1833 loss: 1.5340 loss_prob: 0.8590 loss_thr: 0.5295 loss_db: 0.1455 2022/12/19 20:43:40 - mmengine - INFO - Epoch(train) [98][55/79] lr: 6.4882e-03 eta: 5:37:45 time: 0.2116 data_time: 0.0006 memory: 1833 loss: 1.5494 loss_prob: 0.8900 loss_thr: 0.5082 loss_db: 0.1512 2022/12/19 20:43:41 - mmengine - INFO - Epoch(train) [98][60/79] lr: 6.4882e-03 eta: 5:37:42 time: 0.1962 data_time: 0.0006 memory: 1833 loss: 1.6628 loss_prob: 0.9701 loss_thr: 0.5315 loss_db: 0.1612 2022/12/19 20:43:42 - mmengine - INFO - Epoch(train) [98][65/79] lr: 6.4882e-03 eta: 5:37:38 time: 0.1850 data_time: 0.0006 memory: 1833 loss: 1.6405 loss_prob: 0.9370 loss_thr: 0.5439 loss_db: 0.1595 2022/12/19 20:43:43 - mmengine - INFO - Epoch(train) [98][70/79] lr: 6.4882e-03 eta: 5:37:38 time: 0.2184 data_time: 0.0007 memory: 1833 loss: 1.8477 loss_prob: 1.0714 loss_thr: 0.5918 loss_db: 0.1845 2022/12/19 20:43:44 - mmengine - INFO - Epoch(train) [98][75/79] lr: 6.4882e-03 eta: 5:37:36 time: 0.2362 data_time: 0.0008 memory: 1833 loss: 1.8190 loss_prob: 1.0511 loss_thr: 0.5865 loss_db: 0.1813 2022/12/19 20:43:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:43:48 - mmengine - INFO - Epoch(train) [99][5/79] lr: 6.4829e-03 eta: 5:37:47 time: 0.3505 data_time: 0.0487 memory: 1833 loss: 1.7554 loss_prob: 1.0060 loss_thr: 0.5802 loss_db: 0.1692 2022/12/19 20:43:49 - mmengine - INFO - Epoch(train) [99][10/79] lr: 6.4829e-03 eta: 5:37:44 time: 0.3517 data_time: 0.0484 memory: 1833 loss: 1.6527 loss_prob: 0.9578 loss_thr: 0.5341 loss_db: 0.1608 2022/12/19 20:43:50 - mmengine - INFO - Epoch(train) [99][15/79] lr: 6.4829e-03 eta: 5:37:45 time: 0.2280 data_time: 0.0007 memory: 1833 loss: 1.5486 loss_prob: 0.8676 loss_thr: 0.5310 loss_db: 0.1501 2022/12/19 20:43:51 - mmengine - INFO - Epoch(train) [99][20/79] lr: 6.4829e-03 eta: 5:37:43 time: 0.2440 data_time: 0.0007 memory: 1833 loss: 1.7021 loss_prob: 0.9717 loss_thr: 0.5661 loss_db: 0.1643 2022/12/19 20:43:52 - mmengine - INFO - Epoch(train) [99][25/79] lr: 6.4829e-03 eta: 5:37:42 time: 0.2303 data_time: 0.0007 memory: 1833 loss: 1.7352 loss_prob: 1.0073 loss_thr: 0.5590 loss_db: 0.1689 2022/12/19 20:43:53 - mmengine - INFO - Epoch(train) [99][30/79] lr: 6.4829e-03 eta: 5:37:40 time: 0.2194 data_time: 0.0007 memory: 1833 loss: 1.5749 loss_prob: 0.8912 loss_thr: 0.5309 loss_db: 0.1528 2022/12/19 20:43:54 - mmengine - INFO - Epoch(train) [99][35/79] lr: 6.4829e-03 eta: 5:37:37 time: 0.2060 data_time: 0.0007 memory: 1833 loss: 1.6453 loss_prob: 0.9509 loss_thr: 0.5343 loss_db: 0.1601 2022/12/19 20:43:55 - mmengine - INFO - Epoch(train) [99][40/79] lr: 6.4829e-03 eta: 5:37:32 time: 0.1902 data_time: 0.0007 memory: 1833 loss: 1.6472 loss_prob: 0.9641 loss_thr: 0.5190 loss_db: 0.1640 2022/12/19 20:43:56 - mmengine - INFO - Epoch(train) [99][45/79] lr: 6.4829e-03 eta: 5:37:30 time: 0.1920 data_time: 0.0007 memory: 1833 loss: 1.6091 loss_prob: 0.9305 loss_thr: 0.5159 loss_db: 0.1626 2022/12/19 20:43:57 - mmengine - INFO - Epoch(train) [99][50/79] lr: 6.4829e-03 eta: 5:37:26 time: 0.1963 data_time: 0.0007 memory: 1833 loss: 1.6641 loss_prob: 0.9535 loss_thr: 0.5479 loss_db: 0.1627 2022/12/19 20:43:58 - mmengine - INFO - Epoch(train) [99][55/79] lr: 6.4829e-03 eta: 5:37:24 time: 0.1982 data_time: 0.0006 memory: 1833 loss: 1.6381 loss_prob: 0.9297 loss_thr: 0.5524 loss_db: 0.1560 2022/12/19 20:44:00 - mmengine - INFO - Epoch(train) [99][60/79] lr: 6.4829e-03 eta: 5:37:27 time: 0.2646 data_time: 0.0006 memory: 1833 loss: 1.6786 loss_prob: 0.9610 loss_thr: 0.5545 loss_db: 0.1630 2022/12/19 20:44:01 - mmengine - INFO - Epoch(train) [99][65/79] lr: 6.4829e-03 eta: 5:37:25 time: 0.2624 data_time: 0.0007 memory: 1833 loss: 1.6400 loss_prob: 0.9430 loss_thr: 0.5353 loss_db: 0.1617 2022/12/19 20:44:02 - mmengine - INFO - Epoch(train) [99][70/79] lr: 6.4829e-03 eta: 5:37:22 time: 0.2030 data_time: 0.0007 memory: 1833 loss: 1.7173 loss_prob: 0.9995 loss_thr: 0.5468 loss_db: 0.1710 2022/12/19 20:44:03 - mmengine - INFO - Epoch(train) [99][75/79] lr: 6.4829e-03 eta: 5:37:20 time: 0.2153 data_time: 0.0007 memory: 1833 loss: 1.7266 loss_prob: 1.0001 loss_thr: 0.5540 loss_db: 0.1725 2022/12/19 20:44:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:44:06 - mmengine - INFO - Epoch(train) [100][5/79] lr: 6.4776e-03 eta: 5:37:27 time: 0.3087 data_time: 0.0496 memory: 1833 loss: 1.6929 loss_prob: 0.9834 loss_thr: 0.5395 loss_db: 0.1701 2022/12/19 20:44:07 - mmengine - INFO - Epoch(train) [100][10/79] lr: 6.4776e-03 eta: 5:37:25 time: 0.3194 data_time: 0.0496 memory: 1833 loss: 1.4976 loss_prob: 0.8567 loss_thr: 0.4914 loss_db: 0.1495 2022/12/19 20:44:08 - mmengine - INFO - Epoch(train) [100][15/79] lr: 6.4776e-03 eta: 5:37:24 time: 0.2264 data_time: 0.0007 memory: 1833 loss: 1.5639 loss_prob: 0.9001 loss_thr: 0.5093 loss_db: 0.1545 2022/12/19 20:44:09 - mmengine - INFO - Epoch(train) [100][20/79] lr: 6.4776e-03 eta: 5:37:22 time: 0.2314 data_time: 0.0007 memory: 1833 loss: 1.7096 loss_prob: 0.9996 loss_thr: 0.5378 loss_db: 0.1721 2022/12/19 20:44:10 - mmengine - INFO - Epoch(train) [100][25/79] lr: 6.4776e-03 eta: 5:37:20 time: 0.2195 data_time: 0.0008 memory: 1833 loss: 1.6923 loss_prob: 0.9680 loss_thr: 0.5578 loss_db: 0.1664 2022/12/19 20:44:11 - mmengine - INFO - Epoch(train) [100][30/79] lr: 6.4776e-03 eta: 5:37:19 time: 0.2235 data_time: 0.0012 memory: 1833 loss: 1.8264 loss_prob: 1.0656 loss_thr: 0.5744 loss_db: 0.1864 2022/12/19 20:44:12 - mmengine - INFO - Epoch(train) [100][35/79] lr: 6.4776e-03 eta: 5:37:15 time: 0.2100 data_time: 0.0012 memory: 1833 loss: 1.7419 loss_prob: 1.0277 loss_thr: 0.5378 loss_db: 0.1763 2022/12/19 20:44:13 - mmengine - INFO - Epoch(train) [100][40/79] lr: 6.4776e-03 eta: 5:37:14 time: 0.2120 data_time: 0.0008 memory: 1833 loss: 1.6441 loss_prob: 0.9370 loss_thr: 0.5495 loss_db: 0.1577 2022/12/19 20:44:15 - mmengine - INFO - Epoch(train) [100][45/79] lr: 6.4776e-03 eta: 5:37:14 time: 0.2451 data_time: 0.0009 memory: 1833 loss: 1.7945 loss_prob: 1.0406 loss_thr: 0.5758 loss_db: 0.1782 2022/12/19 20:44:16 - mmengine - INFO - Epoch(train) [100][50/79] lr: 6.4776e-03 eta: 5:37:13 time: 0.2401 data_time: 0.0010 memory: 1833 loss: 1.6515 loss_prob: 0.9445 loss_thr: 0.5463 loss_db: 0.1607 2022/12/19 20:44:17 - mmengine - INFO - Epoch(train) [100][55/79] lr: 6.4776e-03 eta: 5:37:10 time: 0.2180 data_time: 0.0008 memory: 1833 loss: 1.5826 loss_prob: 0.8995 loss_thr: 0.5282 loss_db: 0.1550 2022/12/19 20:44:18 - mmengine - INFO - Epoch(train) [100][60/79] lr: 6.4776e-03 eta: 5:37:09 time: 0.2186 data_time: 0.0006 memory: 1833 loss: 1.7070 loss_prob: 1.0003 loss_thr: 0.5350 loss_db: 0.1717 2022/12/19 20:44:19 - mmengine - INFO - Epoch(train) [100][65/79] lr: 6.4776e-03 eta: 5:37:05 time: 0.2103 data_time: 0.0007 memory: 1833 loss: 1.5974 loss_prob: 0.9231 loss_thr: 0.5153 loss_db: 0.1590 2022/12/19 20:44:20 - mmengine - INFO - Epoch(train) [100][70/79] lr: 6.4776e-03 eta: 5:37:05 time: 0.2197 data_time: 0.0007 memory: 1833 loss: 1.5844 loss_prob: 0.9076 loss_thr: 0.5192 loss_db: 0.1576 2022/12/19 20:44:21 - mmengine - INFO - Epoch(train) [100][75/79] lr: 6.4776e-03 eta: 5:37:02 time: 0.2245 data_time: 0.0007 memory: 1833 loss: 1.5137 loss_prob: 0.8667 loss_thr: 0.5005 loss_db: 0.1466 2022/12/19 20:44:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:44:22 - mmengine - INFO - Epoch(val) [100][5/75] eta: 0:00:01 time: 0.0337 data_time: 0.0188 memory: 1833 2022/12/19 20:44:22 - mmengine - INFO - Epoch(val) [100][10/75] eta: 0:00:01 time: 0.0199 data_time: 0.0029 memory: 425 2022/12/19 20:44:22 - mmengine - INFO - Epoch(val) [100][15/75] eta: 0:00:01 time: 0.0363 data_time: 0.0004 memory: 425 2022/12/19 20:44:23 - mmengine - INFO - Epoch(val) [100][20/75] eta: 0:00:01 time: 0.0366 data_time: 0.0003 memory: 425 2022/12/19 20:44:23 - mmengine - INFO - Epoch(val) [100][25/75] eta: 0:00:01 time: 0.0260 data_time: 0.0099 memory: 390 2022/12/19 20:44:23 - mmengine - INFO - Epoch(val) [100][30/75] eta: 0:00:01 time: 0.0697 data_time: 0.0421 memory: 390 2022/12/19 20:44:23 - mmengine - INFO - Epoch(val) [100][35/75] eta: 0:00:01 time: 0.0723 data_time: 0.0444 memory: 368 2022/12/19 20:44:24 - mmengine - INFO - Epoch(val) [100][40/75] eta: 0:00:01 time: 0.0415 data_time: 0.0234 memory: 390 2022/12/19 20:44:24 - mmengine - INFO - Epoch(val) [100][45/75] eta: 0:00:01 time: 0.0313 data_time: 0.0117 memory: 425 2022/12/19 20:44:24 - mmengine - INFO - Epoch(val) [100][50/75] eta: 0:00:00 time: 0.0197 data_time: 0.0003 memory: 430 2022/12/19 20:44:24 - mmengine - INFO - Epoch(val) [100][55/75] eta: 0:00:00 time: 0.0218 data_time: 0.0023 memory: 407 2022/12/19 20:44:24 - mmengine - INFO - Epoch(val) [100][60/75] eta: 0:00:00 time: 0.0266 data_time: 0.0023 memory: 390 2022/12/19 20:44:24 - mmengine - INFO - Epoch(val) [100][65/75] eta: 0:00:00 time: 0.0257 data_time: 0.0003 memory: 390 2022/12/19 20:44:24 - mmengine - INFO - Epoch(val) [100][70/75] eta: 0:00:00 time: 0.0310 data_time: 0.0003 memory: 425 2022/12/19 20:44:25 - mmengine - INFO - Epoch(val) [100][75/75] eta: 0:00:00 time: 0.0362 data_time: 0.0093 memory: 368 2022/12/19 20:44:25 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 20:44:25 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7729, precision: 0.6549, hmean: 0.7090 2022/12/19 20:44:25 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7729, precision: 0.7373, hmean: 0.7547 2022/12/19 20:44:25 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7675, precision: 0.7966, hmean: 0.7818 2022/12/19 20:44:25 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7422, precision: 0.8457, hmean: 0.7906 2022/12/19 20:44:25 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.5883, precision: 0.9061, hmean: 0.7134 2022/12/19 20:44:25 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.1648, precision: 0.9555, hmean: 0.2811 2022/12/19 20:44:25 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0018, precision: 1.0000, hmean: 0.0036 2022/12/19 20:44:25 - mmengine - INFO - Epoch(val) [100][75/75] icdar/precision: 0.8457 icdar/recall: 0.7422 icdar/hmean: 0.7906 2022/12/19 20:44:25 - mmengine - INFO - The previous best checkpoint work_dirs/dbnet_resnet18_fpnc_1200e_totaltext/best_icdar/hmean_epoch_80.pth is removed 2022/12/19 20:44:25 - mmengine - INFO - The best checkpoint with 0.7906 icdar/hmean at 100 epoch is saved to best_icdar/hmean_epoch_100.pth. 2022/12/19 20:44:27 - mmengine - INFO - Epoch(train) [101][5/79] lr: 6.4723e-03 eta: 5:37:04 time: 0.2649 data_time: 0.0621 memory: 1833 loss: 1.9321 loss_prob: 1.1487 loss_thr: 0.5853 loss_db: 0.1982 2022/12/19 20:44:28 - mmengine - INFO - Epoch(train) [101][10/79] lr: 6.4723e-03 eta: 5:37:01 time: 0.2772 data_time: 0.0621 memory: 1833 loss: 1.5314 loss_prob: 0.8741 loss_thr: 0.5040 loss_db: 0.1534 2022/12/19 20:44:29 - mmengine - INFO - Epoch(train) [101][15/79] lr: 6.4723e-03 eta: 5:36:58 time: 0.2017 data_time: 0.0008 memory: 1833 loss: 1.7568 loss_prob: 1.0197 loss_thr: 0.5640 loss_db: 0.1731 2022/12/19 20:44:30 - mmengine - INFO - Epoch(train) [101][20/79] lr: 6.4723e-03 eta: 5:36:57 time: 0.2147 data_time: 0.0007 memory: 1833 loss: 1.8369 loss_prob: 1.0588 loss_thr: 0.5982 loss_db: 0.1799 2022/12/19 20:44:31 - mmengine - INFO - Epoch(train) [101][25/79] lr: 6.4723e-03 eta: 5:36:56 time: 0.2312 data_time: 0.0007 memory: 1833 loss: 1.6426 loss_prob: 0.9314 loss_thr: 0.5500 loss_db: 0.1612 2022/12/19 20:44:32 - mmengine - INFO - Epoch(train) [101][30/79] lr: 6.4723e-03 eta: 5:36:54 time: 0.2223 data_time: 0.0007 memory: 1833 loss: 1.7075 loss_prob: 0.9811 loss_thr: 0.5555 loss_db: 0.1709 2022/12/19 20:44:34 - mmengine - INFO - Epoch(train) [101][35/79] lr: 6.4723e-03 eta: 5:36:51 time: 0.2121 data_time: 0.0007 memory: 1833 loss: 1.6177 loss_prob: 0.9211 loss_thr: 0.5360 loss_db: 0.1606 2022/12/19 20:44:35 - mmengine - INFO - Epoch(train) [101][40/79] lr: 6.4723e-03 eta: 5:36:50 time: 0.2167 data_time: 0.0007 memory: 1833 loss: 1.6615 loss_prob: 0.9466 loss_thr: 0.5516 loss_db: 0.1633 2022/12/19 20:44:36 - mmengine - INFO - Epoch(train) [101][45/79] lr: 6.4723e-03 eta: 5:36:48 time: 0.2265 data_time: 0.0007 memory: 1833 loss: 1.6942 loss_prob: 0.9744 loss_thr: 0.5537 loss_db: 0.1660 2022/12/19 20:44:37 - mmengine - INFO - Epoch(train) [101][50/79] lr: 6.4723e-03 eta: 5:36:47 time: 0.2335 data_time: 0.0007 memory: 1833 loss: 1.5523 loss_prob: 0.8784 loss_thr: 0.5221 loss_db: 0.1518 2022/12/19 20:44:38 - mmengine - INFO - Epoch(train) [101][55/79] lr: 6.4723e-03 eta: 5:36:45 time: 0.2223 data_time: 0.0006 memory: 1833 loss: 1.5911 loss_prob: 0.9027 loss_thr: 0.5304 loss_db: 0.1580 2022/12/19 20:44:39 - mmengine - INFO - Epoch(train) [101][60/79] lr: 6.4723e-03 eta: 5:36:43 time: 0.2129 data_time: 0.0006 memory: 1833 loss: 1.5762 loss_prob: 0.8945 loss_thr: 0.5267 loss_db: 0.1549 2022/12/19 20:44:40 - mmengine - INFO - Epoch(train) [101][65/79] lr: 6.4723e-03 eta: 5:36:40 time: 0.2070 data_time: 0.0006 memory: 1833 loss: 1.6144 loss_prob: 0.9150 loss_thr: 0.5421 loss_db: 0.1573 2022/12/19 20:44:41 - mmengine - INFO - Epoch(train) [101][70/79] lr: 6.4723e-03 eta: 5:36:38 time: 0.2064 data_time: 0.0006 memory: 1833 loss: 1.6515 loss_prob: 0.9410 loss_thr: 0.5492 loss_db: 0.1613 2022/12/19 20:44:42 - mmengine - INFO - Epoch(train) [101][75/79] lr: 6.4723e-03 eta: 5:36:38 time: 0.2359 data_time: 0.0007 memory: 1833 loss: 1.7117 loss_prob: 0.9908 loss_thr: 0.5579 loss_db: 0.1630 2022/12/19 20:44:43 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:44:46 - mmengine - INFO - Epoch(train) [102][5/79] lr: 6.4670e-03 eta: 5:36:47 time: 0.3365 data_time: 0.0403 memory: 1833 loss: 1.8811 loss_prob: 1.1328 loss_thr: 0.5619 loss_db: 0.1864 2022/12/19 20:44:47 - mmengine - INFO - Epoch(train) [102][10/79] lr: 6.4670e-03 eta: 5:36:45 time: 0.3492 data_time: 0.0403 memory: 1833 loss: 2.0541 loss_prob: 1.2760 loss_thr: 0.5704 loss_db: 0.2078 2022/12/19 20:44:48 - mmengine - INFO - Epoch(train) [102][15/79] lr: 6.4670e-03 eta: 5:36:43 time: 0.2134 data_time: 0.0007 memory: 1833 loss: 1.7717 loss_prob: 1.0621 loss_thr: 0.5324 loss_db: 0.1772 2022/12/19 20:44:49 - mmengine - INFO - Epoch(train) [102][20/79] lr: 6.4670e-03 eta: 5:36:41 time: 0.2243 data_time: 0.0007 memory: 1833 loss: 1.7316 loss_prob: 1.0251 loss_thr: 0.5325 loss_db: 0.1739 2022/12/19 20:44:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:44:50 - mmengine - INFO - Epoch(train) [102][25/79] lr: 6.4670e-03 eta: 5:36:37 time: 0.2032 data_time: 0.0007 memory: 1833 loss: 1.7255 loss_prob: 1.0108 loss_thr: 0.5419 loss_db: 0.1727 2022/12/19 20:44:51 - mmengine - INFO - Epoch(train) [102][30/79] lr: 6.4670e-03 eta: 5:36:37 time: 0.2107 data_time: 0.0007 memory: 1833 loss: 1.8152 loss_prob: 1.0603 loss_thr: 0.5762 loss_db: 0.1787 2022/12/19 20:44:52 - mmengine - INFO - Epoch(train) [102][35/79] lr: 6.4670e-03 eta: 5:36:36 time: 0.2453 data_time: 0.0007 memory: 1833 loss: 1.8163 loss_prob: 1.0586 loss_thr: 0.5772 loss_db: 0.1805 2022/12/19 20:44:53 - mmengine - INFO - Epoch(train) [102][40/79] lr: 6.4670e-03 eta: 5:36:35 time: 0.2346 data_time: 0.0007 memory: 1833 loss: 1.6749 loss_prob: 0.9505 loss_thr: 0.5613 loss_db: 0.1632 2022/12/19 20:44:54 - mmengine - INFO - Epoch(train) [102][45/79] lr: 6.4670e-03 eta: 5:36:32 time: 0.2161 data_time: 0.0007 memory: 1833 loss: 1.7129 loss_prob: 0.9790 loss_thr: 0.5662 loss_db: 0.1677 2022/12/19 20:44:55 - mmengine - INFO - Epoch(train) [102][50/79] lr: 6.4670e-03 eta: 5:36:30 time: 0.2111 data_time: 0.0007 memory: 1833 loss: 1.7978 loss_prob: 1.0358 loss_thr: 0.5846 loss_db: 0.1774 2022/12/19 20:44:56 - mmengine - INFO - Epoch(train) [102][55/79] lr: 6.4670e-03 eta: 5:36:27 time: 0.2038 data_time: 0.0006 memory: 1833 loss: 1.7046 loss_prob: 0.9796 loss_thr: 0.5563 loss_db: 0.1687 2022/12/19 20:44:58 - mmengine - INFO - Epoch(train) [102][60/79] lr: 6.4670e-03 eta: 5:36:27 time: 0.2265 data_time: 0.0006 memory: 1833 loss: 1.7556 loss_prob: 1.0147 loss_thr: 0.5643 loss_db: 0.1765 2022/12/19 20:44:59 - mmengine - INFO - Epoch(train) [102][65/79] lr: 6.4670e-03 eta: 5:36:27 time: 0.2522 data_time: 0.0008 memory: 1833 loss: 1.7438 loss_prob: 0.9952 loss_thr: 0.5765 loss_db: 0.1722 2022/12/19 20:45:00 - mmengine - INFO - Epoch(train) [102][70/79] lr: 6.4670e-03 eta: 5:36:24 time: 0.2248 data_time: 0.0008 memory: 1833 loss: 1.7484 loss_prob: 1.0230 loss_thr: 0.5578 loss_db: 0.1675 2022/12/19 20:45:01 - mmengine - INFO - Epoch(train) [102][75/79] lr: 6.4670e-03 eta: 5:36:22 time: 0.2132 data_time: 0.0007 memory: 1833 loss: 1.8013 loss_prob: 1.0723 loss_thr: 0.5565 loss_db: 0.1725 2022/12/19 20:45:02 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:45:05 - mmengine - INFO - Epoch(train) [103][5/79] lr: 6.4617e-03 eta: 5:36:39 time: 0.4093 data_time: 0.0255 memory: 1833 loss: 1.5161 loss_prob: 0.8648 loss_thr: 0.5012 loss_db: 0.1500 2022/12/19 20:45:06 - mmengine - INFO - Epoch(train) [103][10/79] lr: 6.4617e-03 eta: 5:36:38 time: 0.4248 data_time: 0.0255 memory: 1833 loss: 1.6076 loss_prob: 0.9118 loss_thr: 0.5397 loss_db: 0.1562 2022/12/19 20:45:07 - mmengine - INFO - Epoch(train) [103][15/79] lr: 6.4617e-03 eta: 5:36:36 time: 0.2324 data_time: 0.0007 memory: 1833 loss: 1.7074 loss_prob: 0.9914 loss_thr: 0.5473 loss_db: 0.1687 2022/12/19 20:45:08 - mmengine - INFO - Epoch(train) [103][20/79] lr: 6.4617e-03 eta: 5:36:33 time: 0.2090 data_time: 0.0007 memory: 1833 loss: 1.6514 loss_prob: 0.9588 loss_thr: 0.5269 loss_db: 0.1656 2022/12/19 20:45:09 - mmengine - INFO - Epoch(train) [103][25/79] lr: 6.4617e-03 eta: 5:36:32 time: 0.2092 data_time: 0.0007 memory: 1833 loss: 1.6629 loss_prob: 0.9656 loss_thr: 0.5312 loss_db: 0.1662 2022/12/19 20:45:10 - mmengine - INFO - Epoch(train) [103][30/79] lr: 6.4617e-03 eta: 5:36:29 time: 0.2129 data_time: 0.0007 memory: 1833 loss: 1.6337 loss_prob: 0.9387 loss_thr: 0.5344 loss_db: 0.1607 2022/12/19 20:45:11 - mmengine - INFO - Epoch(train) [103][35/79] lr: 6.4617e-03 eta: 5:36:27 time: 0.2092 data_time: 0.0007 memory: 1833 loss: 1.5470 loss_prob: 0.8673 loss_thr: 0.5288 loss_db: 0.1510 2022/12/19 20:45:12 - mmengine - INFO - Epoch(train) [103][40/79] lr: 6.4617e-03 eta: 5:36:24 time: 0.2067 data_time: 0.0007 memory: 1833 loss: 1.5871 loss_prob: 0.9106 loss_thr: 0.5191 loss_db: 0.1574 2022/12/19 20:45:14 - mmengine - INFO - Epoch(train) [103][45/79] lr: 6.4617e-03 eta: 5:36:22 time: 0.2135 data_time: 0.0007 memory: 1833 loss: 1.6736 loss_prob: 0.9678 loss_thr: 0.5405 loss_db: 0.1652 2022/12/19 20:45:15 - mmengine - INFO - Epoch(train) [103][50/79] lr: 6.4617e-03 eta: 5:36:20 time: 0.2205 data_time: 0.0007 memory: 1833 loss: 1.6149 loss_prob: 0.9196 loss_thr: 0.5366 loss_db: 0.1587 2022/12/19 20:45:16 - mmengine - INFO - Epoch(train) [103][55/79] lr: 6.4617e-03 eta: 5:36:22 time: 0.2511 data_time: 0.0007 memory: 1833 loss: 1.5773 loss_prob: 0.8887 loss_thr: 0.5341 loss_db: 0.1545 2022/12/19 20:45:17 - mmengine - INFO - Epoch(train) [103][60/79] lr: 6.4617e-03 eta: 5:36:20 time: 0.2580 data_time: 0.0007 memory: 1833 loss: 1.5580 loss_prob: 0.8799 loss_thr: 0.5272 loss_db: 0.1508 2022/12/19 20:45:18 - mmengine - INFO - Epoch(train) [103][65/79] lr: 6.4617e-03 eta: 5:36:19 time: 0.2273 data_time: 0.0007 memory: 1833 loss: 1.5680 loss_prob: 0.9011 loss_thr: 0.5110 loss_db: 0.1560 2022/12/19 20:45:19 - mmengine - INFO - Epoch(train) [103][70/79] lr: 6.4617e-03 eta: 5:36:16 time: 0.2178 data_time: 0.0006 memory: 1833 loss: 1.5605 loss_prob: 0.8798 loss_thr: 0.5274 loss_db: 0.1534 2022/12/19 20:45:21 - mmengine - INFO - Epoch(train) [103][75/79] lr: 6.4617e-03 eta: 5:36:15 time: 0.2142 data_time: 0.0007 memory: 1833 loss: 1.6877 loss_prob: 0.9855 loss_thr: 0.5342 loss_db: 0.1680 2022/12/19 20:45:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:45:23 - mmengine - INFO - Epoch(train) [104][5/79] lr: 6.4564e-03 eta: 5:36:20 time: 0.3016 data_time: 0.0201 memory: 1833 loss: 1.7463 loss_prob: 1.0084 loss_thr: 0.5664 loss_db: 0.1715 2022/12/19 20:45:24 - mmengine - INFO - Epoch(train) [104][10/79] lr: 6.4564e-03 eta: 5:36:18 time: 0.3150 data_time: 0.0202 memory: 1833 loss: 1.7539 loss_prob: 1.0075 loss_thr: 0.5768 loss_db: 0.1697 2022/12/19 20:45:26 - mmengine - INFO - Epoch(train) [104][15/79] lr: 6.4564e-03 eta: 5:36:18 time: 0.2315 data_time: 0.0009 memory: 1833 loss: 1.6584 loss_prob: 0.9507 loss_thr: 0.5434 loss_db: 0.1644 2022/12/19 20:45:27 - mmengine - INFO - Epoch(train) [104][20/79] lr: 6.4564e-03 eta: 5:36:17 time: 0.2403 data_time: 0.0008 memory: 1833 loss: 1.6905 loss_prob: 0.9751 loss_thr: 0.5459 loss_db: 0.1695 2022/12/19 20:45:28 - mmengine - INFO - Epoch(train) [104][25/79] lr: 6.4564e-03 eta: 5:36:14 time: 0.2167 data_time: 0.0007 memory: 1833 loss: 1.7769 loss_prob: 1.0407 loss_thr: 0.5585 loss_db: 0.1777 2022/12/19 20:45:29 - mmengine - INFO - Epoch(train) [104][30/79] lr: 6.4564e-03 eta: 5:36:11 time: 0.2006 data_time: 0.0008 memory: 1833 loss: 1.8298 loss_prob: 1.0789 loss_thr: 0.5661 loss_db: 0.1848 2022/12/19 20:45:30 - mmengine - INFO - Epoch(train) [104][35/79] lr: 6.4564e-03 eta: 5:36:10 time: 0.2199 data_time: 0.0008 memory: 1833 loss: 1.8345 loss_prob: 1.0808 loss_thr: 0.5703 loss_db: 0.1835 2022/12/19 20:45:31 - mmengine - INFO - Epoch(train) [104][40/79] lr: 6.4564e-03 eta: 5:36:12 time: 0.2613 data_time: 0.0009 memory: 1833 loss: 1.6686 loss_prob: 0.9634 loss_thr: 0.5418 loss_db: 0.1634 2022/12/19 20:45:33 - mmengine - INFO - Epoch(train) [104][45/79] lr: 6.4564e-03 eta: 5:36:10 time: 0.2531 data_time: 0.0009 memory: 1833 loss: 1.6346 loss_prob: 0.9427 loss_thr: 0.5290 loss_db: 0.1629 2022/12/19 20:45:34 - mmengine - INFO - Epoch(train) [104][50/79] lr: 6.4564e-03 eta: 5:36:08 time: 0.2182 data_time: 0.0007 memory: 1833 loss: 1.6027 loss_prob: 0.9241 loss_thr: 0.5194 loss_db: 0.1592 2022/12/19 20:45:35 - mmengine - INFO - Epoch(train) [104][55/79] lr: 6.4564e-03 eta: 5:36:05 time: 0.2115 data_time: 0.0007 memory: 1833 loss: 1.6336 loss_prob: 0.9442 loss_thr: 0.5283 loss_db: 0.1611 2022/12/19 20:45:36 - mmengine - INFO - Epoch(train) [104][60/79] lr: 6.4564e-03 eta: 5:36:05 time: 0.2248 data_time: 0.0007 memory: 1833 loss: 1.6223 loss_prob: 0.9386 loss_thr: 0.5281 loss_db: 0.1556 2022/12/19 20:45:37 - mmengine - INFO - Epoch(train) [104][65/79] lr: 6.4564e-03 eta: 5:36:02 time: 0.2279 data_time: 0.0007 memory: 1833 loss: 1.5196 loss_prob: 0.8609 loss_thr: 0.5158 loss_db: 0.1430 2022/12/19 20:45:38 - mmengine - INFO - Epoch(train) [104][70/79] lr: 6.4564e-03 eta: 5:36:01 time: 0.2232 data_time: 0.0007 memory: 1833 loss: 1.5648 loss_prob: 0.8941 loss_thr: 0.5201 loss_db: 0.1507 2022/12/19 20:45:39 - mmengine - INFO - Epoch(train) [104][75/79] lr: 6.4564e-03 eta: 5:35:58 time: 0.2150 data_time: 0.0006 memory: 1833 loss: 1.6130 loss_prob: 0.9342 loss_thr: 0.5245 loss_db: 0.1543 2022/12/19 20:45:40 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:45:42 - mmengine - INFO - Epoch(train) [105][5/79] lr: 6.4511e-03 eta: 5:36:04 time: 0.3064 data_time: 0.0471 memory: 1833 loss: 1.4862 loss_prob: 0.8372 loss_thr: 0.5037 loss_db: 0.1453 2022/12/19 20:45:43 - mmengine - INFO - Epoch(train) [105][10/79] lr: 6.4511e-03 eta: 5:36:02 time: 0.2987 data_time: 0.0472 memory: 1833 loss: 1.5684 loss_prob: 0.8941 loss_thr: 0.5194 loss_db: 0.1549 2022/12/19 20:45:44 - mmengine - INFO - Epoch(train) [105][15/79] lr: 6.4511e-03 eta: 5:35:59 time: 0.2094 data_time: 0.0008 memory: 1833 loss: 1.5393 loss_prob: 0.8795 loss_thr: 0.5086 loss_db: 0.1512 2022/12/19 20:45:45 - mmengine - INFO - Epoch(train) [105][20/79] lr: 6.4511e-03 eta: 5:35:57 time: 0.2016 data_time: 0.0008 memory: 1833 loss: 1.7026 loss_prob: 1.0126 loss_thr: 0.5221 loss_db: 0.1679 2022/12/19 20:45:46 - mmengine - INFO - Epoch(train) [105][25/79] lr: 6.4511e-03 eta: 5:35:54 time: 0.2081 data_time: 0.0007 memory: 1833 loss: 1.7960 loss_prob: 1.0651 loss_thr: 0.5549 loss_db: 0.1760 2022/12/19 20:45:47 - mmengine - INFO - Epoch(train) [105][30/79] lr: 6.4511e-03 eta: 5:35:54 time: 0.2271 data_time: 0.0009 memory: 1833 loss: 1.6786 loss_prob: 0.9751 loss_thr: 0.5371 loss_db: 0.1663 2022/12/19 20:45:48 - mmengine - INFO - Epoch(train) [105][35/79] lr: 6.4511e-03 eta: 5:35:51 time: 0.2189 data_time: 0.0009 memory: 1833 loss: 1.6309 loss_prob: 0.9530 loss_thr: 0.5112 loss_db: 0.1668 2022/12/19 20:45:50 - mmengine - INFO - Epoch(train) [105][40/79] lr: 6.4511e-03 eta: 5:35:50 time: 0.2217 data_time: 0.0008 memory: 1833 loss: 1.6256 loss_prob: 0.9403 loss_thr: 0.5231 loss_db: 0.1622 2022/12/19 20:45:51 - mmengine - INFO - Epoch(train) [105][45/79] lr: 6.4511e-03 eta: 5:35:48 time: 0.2347 data_time: 0.0008 memory: 1833 loss: 1.6397 loss_prob: 0.9467 loss_thr: 0.5338 loss_db: 0.1592 2022/12/19 20:45:52 - mmengine - INFO - Epoch(train) [105][50/79] lr: 6.4511e-03 eta: 5:35:47 time: 0.2234 data_time: 0.0008 memory: 1833 loss: 1.5141 loss_prob: 0.8601 loss_thr: 0.5047 loss_db: 0.1493 2022/12/19 20:45:53 - mmengine - INFO - Epoch(train) [105][55/79] lr: 6.4511e-03 eta: 5:35:45 time: 0.2239 data_time: 0.0008 memory: 1833 loss: 1.4986 loss_prob: 0.8497 loss_thr: 0.5014 loss_db: 0.1475 2022/12/19 20:45:54 - mmengine - INFO - Epoch(train) [105][60/79] lr: 6.4511e-03 eta: 5:35:43 time: 0.2222 data_time: 0.0007 memory: 1833 loss: 1.6347 loss_prob: 0.9505 loss_thr: 0.5238 loss_db: 0.1604 2022/12/19 20:45:55 - mmengine - INFO - Epoch(train) [105][65/79] lr: 6.4511e-03 eta: 5:35:42 time: 0.2274 data_time: 0.0007 memory: 1833 loss: 1.6949 loss_prob: 0.9878 loss_thr: 0.5407 loss_db: 0.1664 2022/12/19 20:45:56 - mmengine - INFO - Epoch(train) [105][70/79] lr: 6.4511e-03 eta: 5:35:39 time: 0.2156 data_time: 0.0007 memory: 1833 loss: 1.6794 loss_prob: 0.9751 loss_thr: 0.5395 loss_db: 0.1648 2022/12/19 20:45:57 - mmengine - INFO - Epoch(train) [105][75/79] lr: 6.4511e-03 eta: 5:35:36 time: 0.1963 data_time: 0.0007 memory: 1833 loss: 1.5778 loss_prob: 0.9023 loss_thr: 0.5208 loss_db: 0.1548 2022/12/19 20:45:58 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:46:00 - mmengine - INFO - Epoch(train) [106][5/79] lr: 6.4458e-03 eta: 5:35:47 time: 0.3589 data_time: 0.0604 memory: 1833 loss: 1.6439 loss_prob: 0.9444 loss_thr: 0.5384 loss_db: 0.1611 2022/12/19 20:46:02 - mmengine - INFO - Epoch(train) [106][10/79] lr: 6.4458e-03 eta: 5:35:46 time: 0.3600 data_time: 0.0603 memory: 1833 loss: 1.6671 loss_prob: 0.9510 loss_thr: 0.5548 loss_db: 0.1613 2022/12/19 20:46:03 - mmengine - INFO - Epoch(train) [106][15/79] lr: 6.4458e-03 eta: 5:35:44 time: 0.2269 data_time: 0.0008 memory: 1833 loss: 1.6180 loss_prob: 0.9326 loss_thr: 0.5252 loss_db: 0.1602 2022/12/19 20:46:04 - mmengine - INFO - Epoch(train) [106][20/79] lr: 6.4458e-03 eta: 5:35:44 time: 0.2369 data_time: 0.0011 memory: 1833 loss: 1.6358 loss_prob: 0.9481 loss_thr: 0.5255 loss_db: 0.1622 2022/12/19 20:46:05 - mmengine - INFO - Epoch(train) [106][25/79] lr: 6.4458e-03 eta: 5:35:42 time: 0.2377 data_time: 0.0011 memory: 1833 loss: 1.5044 loss_prob: 0.8569 loss_thr: 0.5009 loss_db: 0.1466 2022/12/19 20:46:06 - mmengine - INFO - Epoch(train) [106][30/79] lr: 6.4458e-03 eta: 5:35:41 time: 0.2311 data_time: 0.0008 memory: 1833 loss: 1.4796 loss_prob: 0.8307 loss_thr: 0.5035 loss_db: 0.1454 2022/12/19 20:46:07 - mmengine - INFO - Epoch(train) [106][35/79] lr: 6.4458e-03 eta: 5:35:37 time: 0.2083 data_time: 0.0008 memory: 1833 loss: 1.5668 loss_prob: 0.8697 loss_thr: 0.5453 loss_db: 0.1519 2022/12/19 20:46:08 - mmengine - INFO - Epoch(train) [106][40/79] lr: 6.4458e-03 eta: 5:35:36 time: 0.2087 data_time: 0.0008 memory: 1833 loss: 1.5623 loss_prob: 0.8763 loss_thr: 0.5371 loss_db: 0.1489 2022/12/19 20:46:09 - mmengine - INFO - Epoch(train) [106][45/79] lr: 6.4458e-03 eta: 5:35:33 time: 0.2101 data_time: 0.0007 memory: 1833 loss: 1.5330 loss_prob: 0.8772 loss_thr: 0.5101 loss_db: 0.1457 2022/12/19 20:46:10 - mmengine - INFO - Epoch(train) [106][50/79] lr: 6.4458e-03 eta: 5:35:30 time: 0.1915 data_time: 0.0007 memory: 1833 loss: 1.5910 loss_prob: 0.9215 loss_thr: 0.5158 loss_db: 0.1537 2022/12/19 20:46:11 - mmengine - INFO - Epoch(train) [106][55/79] lr: 6.4458e-03 eta: 5:35:28 time: 0.2084 data_time: 0.0007 memory: 1833 loss: 1.6484 loss_prob: 0.9468 loss_thr: 0.5379 loss_db: 0.1637 2022/12/19 20:46:13 - mmengine - INFO - Epoch(train) [106][60/79] lr: 6.4458e-03 eta: 5:35:28 time: 0.2405 data_time: 0.0007 memory: 1833 loss: 1.5118 loss_prob: 0.8556 loss_thr: 0.5076 loss_db: 0.1486 2022/12/19 20:46:14 - mmengine - INFO - Epoch(train) [106][65/79] lr: 6.4458e-03 eta: 5:35:28 time: 0.2516 data_time: 0.0006 memory: 1833 loss: 1.4393 loss_prob: 0.8038 loss_thr: 0.4984 loss_db: 0.1371 2022/12/19 20:46:15 - mmengine - INFO - Epoch(train) [106][70/79] lr: 6.4458e-03 eta: 5:35:25 time: 0.2237 data_time: 0.0006 memory: 1833 loss: 1.7432 loss_prob: 1.0110 loss_thr: 0.5609 loss_db: 0.1713 2022/12/19 20:46:16 - mmengine - INFO - Epoch(train) [106][75/79] lr: 6.4458e-03 eta: 5:35:23 time: 0.2147 data_time: 0.0006 memory: 1833 loss: 1.7296 loss_prob: 1.0118 loss_thr: 0.5481 loss_db: 0.1696 2022/12/19 20:46:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:46:19 - mmengine - INFO - Epoch(train) [107][5/79] lr: 6.4405e-03 eta: 5:35:27 time: 0.2868 data_time: 0.0355 memory: 1833 loss: 1.8873 loss_prob: 1.1212 loss_thr: 0.5760 loss_db: 0.1900 2022/12/19 20:46:20 - mmengine - INFO - Epoch(train) [107][10/79] lr: 6.4405e-03 eta: 5:35:26 time: 0.2990 data_time: 0.0358 memory: 1833 loss: 1.8141 loss_prob: 1.0637 loss_thr: 0.5702 loss_db: 0.1802 2022/12/19 20:46:21 - mmengine - INFO - Epoch(train) [107][15/79] lr: 6.4405e-03 eta: 5:35:25 time: 0.2388 data_time: 0.0009 memory: 1833 loss: 1.7133 loss_prob: 0.9984 loss_thr: 0.5467 loss_db: 0.1682 2022/12/19 20:46:22 - mmengine - INFO - Epoch(train) [107][20/79] lr: 6.4405e-03 eta: 5:35:26 time: 0.2550 data_time: 0.0008 memory: 1833 loss: 1.5753 loss_prob: 0.9094 loss_thr: 0.5096 loss_db: 0.1562 2022/12/19 20:46:23 - mmengine - INFO - Epoch(train) [107][25/79] lr: 6.4405e-03 eta: 5:35:23 time: 0.2378 data_time: 0.0008 memory: 1833 loss: 1.8752 loss_prob: 1.1093 loss_thr: 0.5782 loss_db: 0.1877 2022/12/19 20:46:25 - mmengine - INFO - Epoch(train) [107][30/79] lr: 6.4405e-03 eta: 5:35:23 time: 0.2285 data_time: 0.0008 memory: 1833 loss: 1.8936 loss_prob: 1.1183 loss_thr: 0.5883 loss_db: 0.1870 2022/12/19 20:46:26 - mmengine - INFO - Epoch(train) [107][35/79] lr: 6.4405e-03 eta: 5:35:20 time: 0.2288 data_time: 0.0009 memory: 1833 loss: 1.7358 loss_prob: 1.0107 loss_thr: 0.5554 loss_db: 0.1697 2022/12/19 20:46:27 - mmengine - INFO - Epoch(train) [107][40/79] lr: 6.4405e-03 eta: 5:35:17 time: 0.1980 data_time: 0.0008 memory: 1833 loss: 1.6776 loss_prob: 0.9813 loss_thr: 0.5315 loss_db: 0.1647 2022/12/19 20:46:28 - mmengine - INFO - Epoch(train) [107][45/79] lr: 6.4405e-03 eta: 5:35:15 time: 0.2077 data_time: 0.0008 memory: 1833 loss: 1.6849 loss_prob: 1.0013 loss_thr: 0.5151 loss_db: 0.1685 2022/12/19 20:46:29 - mmengine - INFO - Epoch(train) [107][50/79] lr: 6.4405e-03 eta: 5:35:12 time: 0.2085 data_time: 0.0008 memory: 1833 loss: 1.8173 loss_prob: 1.0774 loss_thr: 0.5573 loss_db: 0.1826 2022/12/19 20:46:30 - mmengine - INFO - Epoch(train) [107][55/79] lr: 6.4405e-03 eta: 5:35:12 time: 0.2263 data_time: 0.0007 memory: 1833 loss: 1.8174 loss_prob: 1.0655 loss_thr: 0.5688 loss_db: 0.1831 2022/12/19 20:46:31 - mmengine - INFO - Epoch(train) [107][60/79] lr: 6.4405e-03 eta: 5:35:08 time: 0.2185 data_time: 0.0006 memory: 1833 loss: 1.7712 loss_prob: 1.0351 loss_thr: 0.5591 loss_db: 0.1771 2022/12/19 20:46:32 - mmengine - INFO - Epoch(train) [107][65/79] lr: 6.4405e-03 eta: 5:35:06 time: 0.1944 data_time: 0.0006 memory: 1833 loss: 1.6501 loss_prob: 0.9531 loss_thr: 0.5364 loss_db: 0.1606 2022/12/19 20:46:33 - mmengine - INFO - Epoch(train) [107][70/79] lr: 6.4405e-03 eta: 5:35:04 time: 0.2103 data_time: 0.0006 memory: 1833 loss: 1.6577 loss_prob: 0.9583 loss_thr: 0.5355 loss_db: 0.1640 2022/12/19 20:46:34 - mmengine - INFO - Epoch(train) [107][75/79] lr: 6.4405e-03 eta: 5:35:01 time: 0.2026 data_time: 0.0006 memory: 1833 loss: 1.7298 loss_prob: 1.0112 loss_thr: 0.5440 loss_db: 0.1746 2022/12/19 20:46:35 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:46:37 - mmengine - INFO - Epoch(train) [108][5/79] lr: 6.4352e-03 eta: 5:35:08 time: 0.3151 data_time: 0.0549 memory: 1833 loss: 1.5994 loss_prob: 0.9210 loss_thr: 0.5205 loss_db: 0.1579 2022/12/19 20:46:38 - mmengine - INFO - Epoch(train) [108][10/79] lr: 6.4352e-03 eta: 5:35:05 time: 0.3213 data_time: 0.0549 memory: 1833 loss: 1.6195 loss_prob: 0.9291 loss_thr: 0.5301 loss_db: 0.1602 2022/12/19 20:46:39 - mmengine - INFO - Epoch(train) [108][15/79] lr: 6.4352e-03 eta: 5:35:04 time: 0.2211 data_time: 0.0008 memory: 1833 loss: 1.6300 loss_prob: 0.9264 loss_thr: 0.5419 loss_db: 0.1617 2022/12/19 20:46:40 - mmengine - INFO - Epoch(train) [108][20/79] lr: 6.4352e-03 eta: 5:35:04 time: 0.2402 data_time: 0.0008 memory: 1833 loss: 1.5523 loss_prob: 0.8740 loss_thr: 0.5290 loss_db: 0.1493 2022/12/19 20:46:41 - mmengine - INFO - Epoch(train) [108][25/79] lr: 6.4352e-03 eta: 5:35:01 time: 0.2238 data_time: 0.0008 memory: 1833 loss: 1.6565 loss_prob: 0.9544 loss_thr: 0.5406 loss_db: 0.1615 2022/12/19 20:46:42 - mmengine - INFO - Epoch(train) [108][30/79] lr: 6.4352e-03 eta: 5:34:58 time: 0.1981 data_time: 0.0008 memory: 1833 loss: 1.7232 loss_prob: 0.9991 loss_thr: 0.5564 loss_db: 0.1677 2022/12/19 20:46:43 - mmengine - INFO - Epoch(train) [108][35/79] lr: 6.4352e-03 eta: 5:34:55 time: 0.1950 data_time: 0.0008 memory: 1833 loss: 1.5798 loss_prob: 0.8968 loss_thr: 0.5292 loss_db: 0.1538 2022/12/19 20:46:45 - mmengine - INFO - Epoch(train) [108][40/79] lr: 6.4352e-03 eta: 5:34:54 time: 0.2227 data_time: 0.0008 memory: 1833 loss: 1.5045 loss_prob: 0.8512 loss_thr: 0.5056 loss_db: 0.1477 2022/12/19 20:46:46 - mmengine - INFO - Epoch(train) [108][45/79] lr: 6.4352e-03 eta: 5:34:53 time: 0.2366 data_time: 0.0007 memory: 1833 loss: 1.6375 loss_prob: 0.9561 loss_thr: 0.5175 loss_db: 0.1639 2022/12/19 20:46:47 - mmengine - INFO - Epoch(train) [108][50/79] lr: 6.4352e-03 eta: 5:34:50 time: 0.2123 data_time: 0.0007 memory: 1833 loss: 1.6867 loss_prob: 0.9916 loss_thr: 0.5245 loss_db: 0.1706 2022/12/19 20:46:48 - mmengine - INFO - Epoch(train) [108][55/79] lr: 6.4352e-03 eta: 5:34:47 time: 0.2017 data_time: 0.0007 memory: 1833 loss: 1.7598 loss_prob: 1.0362 loss_thr: 0.5458 loss_db: 0.1778 2022/12/19 20:46:49 - mmengine - INFO - Epoch(train) [108][60/79] lr: 6.4352e-03 eta: 5:34:44 time: 0.1989 data_time: 0.0006 memory: 1833 loss: 1.7677 loss_prob: 1.0232 loss_thr: 0.5656 loss_db: 0.1789 2022/12/19 20:46:50 - mmengine - INFO - Epoch(train) [108][65/79] lr: 6.4352e-03 eta: 5:34:42 time: 0.2046 data_time: 0.0006 memory: 1833 loss: 1.7132 loss_prob: 0.9839 loss_thr: 0.5593 loss_db: 0.1699 2022/12/19 20:46:51 - mmengine - INFO - Epoch(train) [108][70/79] lr: 6.4352e-03 eta: 5:34:39 time: 0.2057 data_time: 0.0006 memory: 1833 loss: 1.7330 loss_prob: 1.0184 loss_thr: 0.5415 loss_db: 0.1731 2022/12/19 20:46:52 - mmengine - INFO - Epoch(train) [108][75/79] lr: 6.4352e-03 eta: 5:34:43 time: 0.2633 data_time: 0.0007 memory: 1833 loss: 1.6546 loss_prob: 0.9467 loss_thr: 0.5456 loss_db: 0.1623 2022/12/19 20:46:53 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:46:55 - mmengine - INFO - Epoch(train) [109][5/79] lr: 6.4299e-03 eta: 5:34:44 time: 0.2653 data_time: 0.0521 memory: 1833 loss: 1.6116 loss_prob: 0.9294 loss_thr: 0.5255 loss_db: 0.1568 2022/12/19 20:46:56 - mmengine - INFO - Epoch(train) [109][10/79] lr: 6.4299e-03 eta: 5:34:42 time: 0.2761 data_time: 0.0522 memory: 1833 loss: 1.6072 loss_prob: 0.9272 loss_thr: 0.5236 loss_db: 0.1564 2022/12/19 20:46:57 - mmengine - INFO - Epoch(train) [109][15/79] lr: 6.4299e-03 eta: 5:34:40 time: 0.2121 data_time: 0.0008 memory: 1833 loss: 1.7593 loss_prob: 1.0222 loss_thr: 0.5640 loss_db: 0.1730 2022/12/19 20:46:58 - mmengine - INFO - Epoch(train) [109][20/79] lr: 6.4299e-03 eta: 5:34:37 time: 0.2151 data_time: 0.0008 memory: 1833 loss: 1.8979 loss_prob: 1.1519 loss_thr: 0.5543 loss_db: 0.1917 2022/12/19 20:46:59 - mmengine - INFO - Epoch(train) [109][25/79] lr: 6.4299e-03 eta: 5:34:36 time: 0.2216 data_time: 0.0007 memory: 1833 loss: 1.7997 loss_prob: 1.0825 loss_thr: 0.5395 loss_db: 0.1777 2022/12/19 20:47:00 - mmengine - INFO - Epoch(train) [109][30/79] lr: 6.4299e-03 eta: 5:34:35 time: 0.2275 data_time: 0.0008 memory: 1833 loss: 1.6580 loss_prob: 0.9650 loss_thr: 0.5301 loss_db: 0.1629 2022/12/19 20:47:01 - mmengine - INFO - Epoch(train) [109][35/79] lr: 6.4299e-03 eta: 5:34:33 time: 0.2236 data_time: 0.0007 memory: 1833 loss: 1.6439 loss_prob: 0.9495 loss_thr: 0.5281 loss_db: 0.1662 2022/12/19 20:47:03 - mmengine - INFO - Epoch(train) [109][40/79] lr: 6.4299e-03 eta: 5:34:32 time: 0.2293 data_time: 0.0007 memory: 1833 loss: 1.6820 loss_prob: 0.9734 loss_thr: 0.5415 loss_db: 0.1671 2022/12/19 20:47:04 - mmengine - INFO - Epoch(train) [109][45/79] lr: 6.4299e-03 eta: 5:34:31 time: 0.2333 data_time: 0.0007 memory: 1833 loss: 1.8074 loss_prob: 1.0614 loss_thr: 0.5632 loss_db: 0.1828 2022/12/19 20:47:05 - mmengine - INFO - Epoch(train) [109][50/79] lr: 6.4299e-03 eta: 5:34:27 time: 0.2048 data_time: 0.0007 memory: 1833 loss: 1.6608 loss_prob: 0.9637 loss_thr: 0.5314 loss_db: 0.1656 2022/12/19 20:47:06 - mmengine - INFO - Epoch(train) [109][55/79] lr: 6.4299e-03 eta: 5:34:24 time: 0.1930 data_time: 0.0006 memory: 1833 loss: 1.6620 loss_prob: 0.9593 loss_thr: 0.5388 loss_db: 0.1640 2022/12/19 20:47:07 - mmengine - INFO - Epoch(train) [109][60/79] lr: 6.4299e-03 eta: 5:34:23 time: 0.2186 data_time: 0.0006 memory: 1833 loss: 1.8625 loss_prob: 1.0904 loss_thr: 0.5827 loss_db: 0.1893 2022/12/19 20:47:08 - mmengine - INFO - Epoch(train) [109][65/79] lr: 6.4299e-03 eta: 5:34:23 time: 0.2421 data_time: 0.0008 memory: 1833 loss: 1.8665 loss_prob: 1.1124 loss_thr: 0.5670 loss_db: 0.1872 2022/12/19 20:47:09 - mmengine - INFO - Epoch(train) [109][70/79] lr: 6.4299e-03 eta: 5:34:21 time: 0.2332 data_time: 0.0009 memory: 1833 loss: 1.7115 loss_prob: 1.0039 loss_thr: 0.5403 loss_db: 0.1673 2022/12/19 20:47:10 - mmengine - INFO - Epoch(train) [109][75/79] lr: 6.4299e-03 eta: 5:34:18 time: 0.2096 data_time: 0.0007 memory: 1833 loss: 1.6137 loss_prob: 0.9208 loss_thr: 0.5374 loss_db: 0.1555 2022/12/19 20:47:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:47:13 - mmengine - INFO - Epoch(train) [110][5/79] lr: 6.4246e-03 eta: 5:34:22 time: 0.2936 data_time: 0.0494 memory: 1833 loss: 1.6094 loss_prob: 0.9243 loss_thr: 0.5257 loss_db: 0.1595 2022/12/19 20:47:14 - mmengine - INFO - Epoch(train) [110][10/79] lr: 6.4246e-03 eta: 5:34:21 time: 0.2990 data_time: 0.0494 memory: 1833 loss: 1.5116 loss_prob: 0.8501 loss_thr: 0.5163 loss_db: 0.1451 2022/12/19 20:47:15 - mmengine - INFO - Epoch(train) [110][15/79] lr: 6.4246e-03 eta: 5:34:19 time: 0.2189 data_time: 0.0008 memory: 1833 loss: 1.5375 loss_prob: 0.8530 loss_thr: 0.5403 loss_db: 0.1441 2022/12/19 20:47:16 - mmengine - INFO - Epoch(train) [110][20/79] lr: 6.4246e-03 eta: 5:34:18 time: 0.2193 data_time: 0.0011 memory: 1833 loss: 1.9253 loss_prob: 1.1471 loss_thr: 0.5856 loss_db: 0.1926 2022/12/19 20:47:17 - mmengine - INFO - Epoch(train) [110][25/79] lr: 6.4246e-03 eta: 5:34:16 time: 0.2288 data_time: 0.0010 memory: 1833 loss: 1.9336 loss_prob: 1.1568 loss_thr: 0.5804 loss_db: 0.1964 2022/12/19 20:47:19 - mmengine - INFO - Epoch(train) [110][30/79] lr: 6.4246e-03 eta: 5:34:15 time: 0.2313 data_time: 0.0007 memory: 1833 loss: 1.6839 loss_prob: 0.9793 loss_thr: 0.5376 loss_db: 0.1670 2022/12/19 20:47:20 - mmengine - INFO - Epoch(train) [110][35/79] lr: 6.4246e-03 eta: 5:34:13 time: 0.2289 data_time: 0.0007 memory: 1833 loss: 1.7061 loss_prob: 1.0033 loss_thr: 0.5348 loss_db: 0.1681 2022/12/19 20:47:21 - mmengine - INFO - Epoch(train) [110][40/79] lr: 6.4246e-03 eta: 5:34:12 time: 0.2200 data_time: 0.0008 memory: 1833 loss: 1.7216 loss_prob: 1.0084 loss_thr: 0.5451 loss_db: 0.1682 2022/12/19 20:47:22 - mmengine - INFO - Epoch(train) [110][45/79] lr: 6.4246e-03 eta: 5:34:12 time: 0.2404 data_time: 0.0008 memory: 1833 loss: 1.6700 loss_prob: 0.9676 loss_thr: 0.5383 loss_db: 0.1641 2022/12/19 20:47:23 - mmengine - INFO - Epoch(train) [110][50/79] lr: 6.4246e-03 eta: 5:34:12 time: 0.2584 data_time: 0.0008 memory: 1833 loss: 1.6116 loss_prob: 0.9253 loss_thr: 0.5260 loss_db: 0.1603 2022/12/19 20:47:24 - mmengine - INFO - Epoch(train) [110][55/79] lr: 6.4246e-03 eta: 5:34:09 time: 0.2304 data_time: 0.0007 memory: 1833 loss: 1.5477 loss_prob: 0.8618 loss_thr: 0.5393 loss_db: 0.1466 2022/12/19 20:47:26 - mmengine - INFO - Epoch(train) [110][60/79] lr: 6.4246e-03 eta: 5:34:08 time: 0.2141 data_time: 0.0007 memory: 1833 loss: 1.6092 loss_prob: 0.8889 loss_thr: 0.5687 loss_db: 0.1515 2022/12/19 20:47:27 - mmengine - INFO - Epoch(train) [110][65/79] lr: 6.4246e-03 eta: 5:34:06 time: 0.2245 data_time: 0.0007 memory: 1833 loss: 1.6581 loss_prob: 0.9520 loss_thr: 0.5431 loss_db: 0.1630 2022/12/19 20:47:28 - mmengine - INFO - Epoch(train) [110][70/79] lr: 6.4246e-03 eta: 5:34:04 time: 0.2246 data_time: 0.0007 memory: 1833 loss: 1.5975 loss_prob: 0.9239 loss_thr: 0.5165 loss_db: 0.1571 2022/12/19 20:47:29 - mmengine - INFO - Epoch(train) [110][75/79] lr: 6.4246e-03 eta: 5:34:02 time: 0.2183 data_time: 0.0007 memory: 1833 loss: 1.7022 loss_prob: 1.0023 loss_thr: 0.5323 loss_db: 0.1675 2022/12/19 20:47:30 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:47:32 - mmengine - INFO - Epoch(train) [111][5/79] lr: 6.4193e-03 eta: 5:34:08 time: 0.3036 data_time: 0.0446 memory: 1833 loss: 1.7247 loss_prob: 1.0163 loss_thr: 0.5367 loss_db: 0.1718 2022/12/19 20:47:33 - mmengine - INFO - Epoch(train) [111][10/79] lr: 6.4193e-03 eta: 5:34:05 time: 0.3112 data_time: 0.0447 memory: 1833 loss: 1.7553 loss_prob: 1.0440 loss_thr: 0.5347 loss_db: 0.1766 2022/12/19 20:47:34 - mmengine - INFO - Epoch(train) [111][15/79] lr: 6.4193e-03 eta: 5:34:04 time: 0.2164 data_time: 0.0008 memory: 1833 loss: 1.6973 loss_prob: 0.9867 loss_thr: 0.5441 loss_db: 0.1665 2022/12/19 20:47:35 - mmengine - INFO - Epoch(train) [111][20/79] lr: 6.4193e-03 eta: 5:34:02 time: 0.2168 data_time: 0.0008 memory: 1833 loss: 1.6638 loss_prob: 0.9568 loss_thr: 0.5421 loss_db: 0.1649 2022/12/19 20:47:36 - mmengine - INFO - Epoch(train) [111][25/79] lr: 6.4193e-03 eta: 5:33:59 time: 0.2118 data_time: 0.0007 memory: 1833 loss: 1.7344 loss_prob: 1.0055 loss_thr: 0.5567 loss_db: 0.1722 2022/12/19 20:47:37 - mmengine - INFO - Epoch(train) [111][30/79] lr: 6.4193e-03 eta: 5:33:59 time: 0.2261 data_time: 0.0007 memory: 1833 loss: 1.6259 loss_prob: 0.9196 loss_thr: 0.5486 loss_db: 0.1576 2022/12/19 20:47:38 - mmengine - INFO - Epoch(train) [111][35/79] lr: 6.4193e-03 eta: 5:33:57 time: 0.2348 data_time: 0.0007 memory: 1833 loss: 1.5415 loss_prob: 0.8689 loss_thr: 0.5222 loss_db: 0.1505 2022/12/19 20:47:40 - mmengine - INFO - Epoch(train) [111][40/79] lr: 6.4193e-03 eta: 5:33:58 time: 0.2527 data_time: 0.0009 memory: 1833 loss: 1.6586 loss_prob: 0.9616 loss_thr: 0.5301 loss_db: 0.1669 2022/12/19 20:47:41 - mmengine - INFO - Epoch(train) [111][45/79] lr: 6.4193e-03 eta: 5:33:59 time: 0.2763 data_time: 0.0010 memory: 1833 loss: 1.7155 loss_prob: 1.0026 loss_thr: 0.5408 loss_db: 0.1721 2022/12/19 20:47:42 - mmengine - INFO - Epoch(train) [111][50/79] lr: 6.4193e-03 eta: 5:33:56 time: 0.2384 data_time: 0.0008 memory: 1833 loss: 1.7116 loss_prob: 0.9800 loss_thr: 0.5647 loss_db: 0.1670 2022/12/19 20:47:43 - mmengine - INFO - Epoch(train) [111][55/79] lr: 6.4193e-03 eta: 5:33:54 time: 0.1998 data_time: 0.0007 memory: 1833 loss: 1.7710 loss_prob: 1.0184 loss_thr: 0.5793 loss_db: 0.1734 2022/12/19 20:47:44 - mmengine - INFO - Epoch(train) [111][60/79] lr: 6.4193e-03 eta: 5:33:51 time: 0.2002 data_time: 0.0006 memory: 1833 loss: 1.7053 loss_prob: 0.9933 loss_thr: 0.5458 loss_db: 0.1661 2022/12/19 20:47:45 - mmengine - INFO - Epoch(train) [111][65/79] lr: 6.4193e-03 eta: 5:33:48 time: 0.2020 data_time: 0.0006 memory: 1833 loss: 1.6943 loss_prob: 0.9854 loss_thr: 0.5453 loss_db: 0.1636 2022/12/19 20:47:46 - mmengine - INFO - Epoch(train) [111][70/79] lr: 6.4193e-03 eta: 5:33:44 time: 0.1891 data_time: 0.0006 memory: 1833 loss: 1.6968 loss_prob: 0.9903 loss_thr: 0.5402 loss_db: 0.1663 2022/12/19 20:47:47 - mmengine - INFO - Epoch(train) [111][75/79] lr: 6.4193e-03 eta: 5:33:41 time: 0.1826 data_time: 0.0006 memory: 1833 loss: 1.7418 loss_prob: 1.0312 loss_thr: 0.5369 loss_db: 0.1736 2022/12/19 20:47:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:47:50 - mmengine - INFO - Epoch(train) [112][5/79] lr: 6.4140e-03 eta: 5:33:50 time: 0.3437 data_time: 0.1345 memory: 1833 loss: 1.9502 loss_prob: 1.1788 loss_thr: 0.5710 loss_db: 0.2003 2022/12/19 20:47:51 - mmengine - INFO - Epoch(train) [112][10/79] lr: 6.4140e-03 eta: 5:33:49 time: 0.3596 data_time: 0.1345 memory: 1833 loss: 1.8550 loss_prob: 1.1082 loss_thr: 0.5624 loss_db: 0.1844 2022/12/19 20:47:53 - mmengine - INFO - Epoch(train) [112][15/79] lr: 6.4140e-03 eta: 5:33:48 time: 0.2325 data_time: 0.0008 memory: 1833 loss: 1.9007 loss_prob: 1.1391 loss_thr: 0.5698 loss_db: 0.1918 2022/12/19 20:47:54 - mmengine - INFO - Epoch(train) [112][20/79] lr: 6.4140e-03 eta: 5:33:47 time: 0.2323 data_time: 0.0008 memory: 1833 loss: 1.8851 loss_prob: 1.1240 loss_thr: 0.5720 loss_db: 0.1891 2022/12/19 20:47:55 - mmengine - INFO - Epoch(train) [112][25/79] lr: 6.4140e-03 eta: 5:33:48 time: 0.2550 data_time: 0.0008 memory: 1833 loss: 1.7876 loss_prob: 1.0411 loss_thr: 0.5707 loss_db: 0.1758 2022/12/19 20:47:56 - mmengine - INFO - Epoch(train) [112][30/79] lr: 6.4140e-03 eta: 5:33:46 time: 0.2452 data_time: 0.0008 memory: 1833 loss: 1.7863 loss_prob: 1.0612 loss_thr: 0.5516 loss_db: 0.1735 2022/12/19 20:47:57 - mmengine - INFO - Epoch(train) [112][35/79] lr: 6.4140e-03 eta: 5:33:46 time: 0.2350 data_time: 0.0008 memory: 1833 loss: 1.7409 loss_prob: 1.0434 loss_thr: 0.5275 loss_db: 0.1700 2022/12/19 20:47:59 - mmengine - INFO - Epoch(train) [112][40/79] lr: 6.4140e-03 eta: 5:33:44 time: 0.2381 data_time: 0.0007 memory: 1833 loss: 1.7864 loss_prob: 1.0589 loss_thr: 0.5472 loss_db: 0.1803 2022/12/19 20:48:00 - mmengine - INFO - Epoch(train) [112][45/79] lr: 6.4140e-03 eta: 5:33:41 time: 0.2094 data_time: 0.0007 memory: 1833 loss: 1.7961 loss_prob: 1.0599 loss_thr: 0.5561 loss_db: 0.1802 2022/12/19 20:48:01 - mmengine - INFO - Epoch(train) [112][50/79] lr: 6.4140e-03 eta: 5:33:40 time: 0.2189 data_time: 0.0007 memory: 1833 loss: 1.7033 loss_prob: 0.9835 loss_thr: 0.5507 loss_db: 0.1691 2022/12/19 20:48:02 - mmengine - INFO - Epoch(train) [112][55/79] lr: 6.4140e-03 eta: 5:33:39 time: 0.2380 data_time: 0.0007 memory: 1833 loss: 1.6298 loss_prob: 0.9418 loss_thr: 0.5255 loss_db: 0.1624 2022/12/19 20:48:03 - mmengine - INFO - Epoch(train) [112][60/79] lr: 6.4140e-03 eta: 5:33:37 time: 0.2250 data_time: 0.0006 memory: 1833 loss: 1.5368 loss_prob: 0.8832 loss_thr: 0.5000 loss_db: 0.1536 2022/12/19 20:48:04 - mmengine - INFO - Epoch(train) [112][65/79] lr: 6.4140e-03 eta: 5:33:36 time: 0.2271 data_time: 0.0007 memory: 1833 loss: 1.4272 loss_prob: 0.8056 loss_thr: 0.4808 loss_db: 0.1408 2022/12/19 20:48:05 - mmengine - INFO - Epoch(train) [112][70/79] lr: 6.4140e-03 eta: 5:33:34 time: 0.2249 data_time: 0.0007 memory: 1833 loss: 1.4496 loss_prob: 0.8280 loss_thr: 0.4779 loss_db: 0.1437 2022/12/19 20:48:06 - mmengine - INFO - Epoch(train) [112][75/79] lr: 6.4140e-03 eta: 5:33:30 time: 0.1931 data_time: 0.0007 memory: 1833 loss: 1.7464 loss_prob: 1.0258 loss_thr: 0.5443 loss_db: 0.1763 2022/12/19 20:48:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:48:09 - mmengine - INFO - Epoch(train) [113][5/79] lr: 6.4087e-03 eta: 5:33:37 time: 0.3243 data_time: 0.0598 memory: 1833 loss: 1.5050 loss_prob: 0.8655 loss_thr: 0.4873 loss_db: 0.1522 2022/12/19 20:48:10 - mmengine - INFO - Epoch(train) [113][10/79] lr: 6.4087e-03 eta: 5:33:36 time: 0.3476 data_time: 0.0599 memory: 1833 loss: 1.4947 loss_prob: 0.8320 loss_thr: 0.5163 loss_db: 0.1464 2022/12/19 20:48:12 - mmengine - INFO - Epoch(train) [113][15/79] lr: 6.4087e-03 eta: 5:33:35 time: 0.2343 data_time: 0.0009 memory: 1833 loss: 1.5661 loss_prob: 0.8844 loss_thr: 0.5288 loss_db: 0.1529 2022/12/19 20:48:13 - mmengine - INFO - Epoch(train) [113][20/79] lr: 6.4087e-03 eta: 5:33:34 time: 0.2366 data_time: 0.0009 memory: 1833 loss: 1.6770 loss_prob: 0.9806 loss_thr: 0.5307 loss_db: 0.1657 2022/12/19 20:48:14 - mmengine - INFO - Epoch(train) [113][25/79] lr: 6.4087e-03 eta: 5:33:34 time: 0.2411 data_time: 0.0007 memory: 1833 loss: 1.6892 loss_prob: 0.9762 loss_thr: 0.5454 loss_db: 0.1676 2022/12/19 20:48:15 - mmengine - INFO - Epoch(train) [113][30/79] lr: 6.4087e-03 eta: 5:33:32 time: 0.2379 data_time: 0.0008 memory: 1833 loss: 1.7102 loss_prob: 0.9801 loss_thr: 0.5593 loss_db: 0.1708 2022/12/19 20:48:16 - mmengine - INFO - Epoch(train) [113][35/79] lr: 6.4087e-03 eta: 5:33:30 time: 0.2200 data_time: 0.0008 memory: 1833 loss: 1.5887 loss_prob: 0.8989 loss_thr: 0.5350 loss_db: 0.1548 2022/12/19 20:48:17 - mmengine - INFO - Epoch(train) [113][40/79] lr: 6.4087e-03 eta: 5:33:28 time: 0.2165 data_time: 0.0008 memory: 1833 loss: 1.5092 loss_prob: 0.8528 loss_thr: 0.5083 loss_db: 0.1481 2022/12/19 20:48:18 - mmengine - INFO - Epoch(train) [113][45/79] lr: 6.4087e-03 eta: 5:33:27 time: 0.2243 data_time: 0.0008 memory: 1833 loss: 1.5500 loss_prob: 0.8871 loss_thr: 0.5115 loss_db: 0.1515 2022/12/19 20:48:19 - mmengine - INFO - Epoch(train) [113][50/79] lr: 6.4087e-03 eta: 5:33:25 time: 0.2223 data_time: 0.0007 memory: 1833 loss: 1.6321 loss_prob: 0.9309 loss_thr: 0.5435 loss_db: 0.1578 2022/12/19 20:48:20 - mmengine - INFO - Epoch(train) [113][55/79] lr: 6.4087e-03 eta: 5:33:22 time: 0.2043 data_time: 0.0007 memory: 1833 loss: 1.6756 loss_prob: 0.9607 loss_thr: 0.5507 loss_db: 0.1642 2022/12/19 20:48:21 - mmengine - INFO - Epoch(train) [113][60/79] lr: 6.4087e-03 eta: 5:33:19 time: 0.1962 data_time: 0.0007 memory: 1833 loss: 1.5271 loss_prob: 0.8780 loss_thr: 0.5010 loss_db: 0.1482 2022/12/19 20:48:22 - mmengine - INFO - Epoch(train) [113][65/79] lr: 6.4087e-03 eta: 5:33:15 time: 0.1899 data_time: 0.0006 memory: 1833 loss: 1.5388 loss_prob: 0.8826 loss_thr: 0.5064 loss_db: 0.1498 2022/12/19 20:48:23 - mmengine - INFO - Epoch(train) [113][70/79] lr: 6.4087e-03 eta: 5:33:13 time: 0.1978 data_time: 0.0007 memory: 1833 loss: 1.6123 loss_prob: 0.9270 loss_thr: 0.5270 loss_db: 0.1583 2022/12/19 20:48:25 - mmengine - INFO - Epoch(train) [113][75/79] lr: 6.4087e-03 eta: 5:33:12 time: 0.2192 data_time: 0.0007 memory: 1833 loss: 1.6324 loss_prob: 0.9417 loss_thr: 0.5312 loss_db: 0.1595 2022/12/19 20:48:25 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:48:28 - mmengine - INFO - Epoch(train) [114][5/79] lr: 6.4034e-03 eta: 5:33:20 time: 0.3410 data_time: 0.0234 memory: 1833 loss: 1.4854 loss_prob: 0.8446 loss_thr: 0.4933 loss_db: 0.1475 2022/12/19 20:48:29 - mmengine - INFO - Epoch(train) [114][10/79] lr: 6.4034e-03 eta: 5:33:19 time: 0.3578 data_time: 0.0235 memory: 1833 loss: 1.5463 loss_prob: 0.8811 loss_thr: 0.5096 loss_db: 0.1556 2022/12/19 20:48:30 - mmengine - INFO - Epoch(train) [114][15/79] lr: 6.4034e-03 eta: 5:33:18 time: 0.2324 data_time: 0.0008 memory: 1833 loss: 1.5698 loss_prob: 0.8875 loss_thr: 0.5271 loss_db: 0.1551 2022/12/19 20:48:31 - mmengine - INFO - Epoch(train) [114][20/79] lr: 6.4034e-03 eta: 5:33:16 time: 0.2189 data_time: 0.0008 memory: 1833 loss: 1.5897 loss_prob: 0.8933 loss_thr: 0.5429 loss_db: 0.1534 2022/12/19 20:48:32 - mmengine - INFO - Epoch(train) [114][25/79] lr: 6.4034e-03 eta: 5:33:13 time: 0.2106 data_time: 0.0008 memory: 1833 loss: 1.6017 loss_prob: 0.9161 loss_thr: 0.5301 loss_db: 0.1555 2022/12/19 20:48:33 - mmengine - INFO - Epoch(train) [114][30/79] lr: 6.4034e-03 eta: 5:33:11 time: 0.2084 data_time: 0.0007 memory: 1833 loss: 1.4819 loss_prob: 0.8493 loss_thr: 0.4857 loss_db: 0.1469 2022/12/19 20:48:34 - mmengine - INFO - Epoch(train) [114][35/79] lr: 6.4034e-03 eta: 5:33:10 time: 0.2236 data_time: 0.0008 memory: 1833 loss: 1.4940 loss_prob: 0.8522 loss_thr: 0.4927 loss_db: 0.1490 2022/12/19 20:48:36 - mmengine - INFO - Epoch(train) [114][40/79] lr: 6.4034e-03 eta: 5:33:09 time: 0.2319 data_time: 0.0008 memory: 1833 loss: 1.6409 loss_prob: 0.9462 loss_thr: 0.5341 loss_db: 0.1606 2022/12/19 20:48:37 - mmengine - INFO - Epoch(train) [114][45/79] lr: 6.4034e-03 eta: 5:33:07 time: 0.2218 data_time: 0.0008 memory: 1833 loss: 1.5765 loss_prob: 0.8949 loss_thr: 0.5273 loss_db: 0.1544 2022/12/19 20:48:38 - mmengine - INFO - Epoch(train) [114][50/79] lr: 6.4034e-03 eta: 5:33:06 time: 0.2255 data_time: 0.0007 memory: 1833 loss: 1.5748 loss_prob: 0.9111 loss_thr: 0.5107 loss_db: 0.1530 2022/12/19 20:48:39 - mmengine - INFO - Epoch(train) [114][55/79] lr: 6.4034e-03 eta: 5:33:02 time: 0.2091 data_time: 0.0006 memory: 1833 loss: 1.7318 loss_prob: 1.0219 loss_thr: 0.5441 loss_db: 0.1657 2022/12/19 20:48:40 - mmengine - INFO - Epoch(train) [114][60/79] lr: 6.4034e-03 eta: 5:32:59 time: 0.1891 data_time: 0.0006 memory: 1833 loss: 1.6507 loss_prob: 0.9533 loss_thr: 0.5345 loss_db: 0.1629 2022/12/19 20:48:41 - mmengine - INFO - Epoch(train) [114][65/79] lr: 6.4034e-03 eta: 5:32:57 time: 0.2064 data_time: 0.0007 memory: 1833 loss: 1.6146 loss_prob: 0.9235 loss_thr: 0.5288 loss_db: 0.1623 2022/12/19 20:48:42 - mmengine - INFO - Epoch(train) [114][70/79] lr: 6.4034e-03 eta: 5:32:54 time: 0.2086 data_time: 0.0007 memory: 1833 loss: 1.5632 loss_prob: 0.8747 loss_thr: 0.5365 loss_db: 0.1520 2022/12/19 20:48:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:48:43 - mmengine - INFO - Epoch(train) [114][75/79] lr: 6.4034e-03 eta: 5:32:54 time: 0.2207 data_time: 0.0012 memory: 1833 loss: 1.5355 loss_prob: 0.8539 loss_thr: 0.5337 loss_db: 0.1479 2022/12/19 20:48:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:48:46 - mmengine - INFO - Epoch(train) [115][5/79] lr: 6.3981e-03 eta: 5:32:59 time: 0.3237 data_time: 0.0279 memory: 1833 loss: 1.7448 loss_prob: 1.0167 loss_thr: 0.5494 loss_db: 0.1787 2022/12/19 20:48:47 - mmengine - INFO - Epoch(train) [115][10/79] lr: 6.3981e-03 eta: 5:32:57 time: 0.3044 data_time: 0.0278 memory: 1833 loss: 1.6180 loss_prob: 0.9339 loss_thr: 0.5208 loss_db: 0.1633 2022/12/19 20:48:48 - mmengine - INFO - Epoch(train) [115][15/79] lr: 6.3981e-03 eta: 5:32:56 time: 0.2214 data_time: 0.0007 memory: 1833 loss: 1.6725 loss_prob: 0.9664 loss_thr: 0.5381 loss_db: 0.1679 2022/12/19 20:48:49 - mmengine - INFO - Epoch(train) [115][20/79] lr: 6.3981e-03 eta: 5:32:54 time: 0.2253 data_time: 0.0007 memory: 1833 loss: 1.5682 loss_prob: 0.8905 loss_thr: 0.5197 loss_db: 0.1580 2022/12/19 20:48:50 - mmengine - INFO - Epoch(train) [115][25/79] lr: 6.3981e-03 eta: 5:32:51 time: 0.2065 data_time: 0.0007 memory: 1833 loss: 1.4555 loss_prob: 0.8237 loss_thr: 0.4865 loss_db: 0.1453 2022/12/19 20:48:51 - mmengine - INFO - Epoch(train) [115][30/79] lr: 6.3981e-03 eta: 5:32:50 time: 0.2234 data_time: 0.0008 memory: 1833 loss: 1.5809 loss_prob: 0.9038 loss_thr: 0.5229 loss_db: 0.1542 2022/12/19 20:48:53 - mmengine - INFO - Epoch(train) [115][35/79] lr: 6.3981e-03 eta: 5:32:50 time: 0.2429 data_time: 0.0008 memory: 1833 loss: 1.6746 loss_prob: 0.9626 loss_thr: 0.5531 loss_db: 0.1589 2022/12/19 20:48:54 - mmengine - INFO - Epoch(train) [115][40/79] lr: 6.3981e-03 eta: 5:32:47 time: 0.2249 data_time: 0.0008 memory: 1833 loss: 1.5425 loss_prob: 0.8846 loss_thr: 0.5107 loss_db: 0.1472 2022/12/19 20:48:55 - mmengine - INFO - Epoch(train) [115][45/79] lr: 6.3981e-03 eta: 5:32:45 time: 0.2085 data_time: 0.0007 memory: 1833 loss: 1.5081 loss_prob: 0.8548 loss_thr: 0.5062 loss_db: 0.1471 2022/12/19 20:48:56 - mmengine - INFO - Epoch(train) [115][50/79] lr: 6.3981e-03 eta: 5:32:44 time: 0.2191 data_time: 0.0007 memory: 1833 loss: 1.6444 loss_prob: 0.9217 loss_thr: 0.5648 loss_db: 0.1579 2022/12/19 20:48:57 - mmengine - INFO - Epoch(train) [115][55/79] lr: 6.3981e-03 eta: 5:32:41 time: 0.2151 data_time: 0.0006 memory: 1833 loss: 1.6187 loss_prob: 0.9121 loss_thr: 0.5498 loss_db: 0.1568 2022/12/19 20:48:58 - mmengine - INFO - Epoch(train) [115][60/79] lr: 6.3981e-03 eta: 5:32:38 time: 0.2013 data_time: 0.0006 memory: 1833 loss: 1.5059 loss_prob: 0.8403 loss_thr: 0.5189 loss_db: 0.1468 2022/12/19 20:48:59 - mmengine - INFO - Epoch(train) [115][65/79] lr: 6.3981e-03 eta: 5:32:40 time: 0.2507 data_time: 0.0006 memory: 1833 loss: 1.5163 loss_prob: 0.8575 loss_thr: 0.5073 loss_db: 0.1515 2022/12/19 20:49:00 - mmengine - INFO - Epoch(train) [115][70/79] lr: 6.3981e-03 eta: 5:32:37 time: 0.2448 data_time: 0.0007 memory: 1833 loss: 1.6057 loss_prob: 0.9217 loss_thr: 0.5213 loss_db: 0.1628 2022/12/19 20:49:01 - mmengine - INFO - Epoch(train) [115][75/79] lr: 6.3981e-03 eta: 5:32:35 time: 0.2042 data_time: 0.0007 memory: 1833 loss: 1.6227 loss_prob: 0.9173 loss_thr: 0.5441 loss_db: 0.1613 2022/12/19 20:49:02 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:49:05 - mmengine - INFO - Epoch(train) [116][5/79] lr: 6.3927e-03 eta: 5:32:43 time: 0.3338 data_time: 0.0393 memory: 1833 loss: 1.7939 loss_prob: 1.0520 loss_thr: 0.5618 loss_db: 0.1801 2022/12/19 20:49:06 - mmengine - INFO - Epoch(train) [116][10/79] lr: 6.3927e-03 eta: 5:32:41 time: 0.3334 data_time: 0.0393 memory: 1833 loss: 1.6645 loss_prob: 0.9650 loss_thr: 0.5363 loss_db: 0.1632 2022/12/19 20:49:07 - mmengine - INFO - Epoch(train) [116][15/79] lr: 6.3927e-03 eta: 5:32:40 time: 0.2200 data_time: 0.0007 memory: 1833 loss: 1.5004 loss_prob: 0.8515 loss_thr: 0.5012 loss_db: 0.1476 2022/12/19 20:49:08 - mmengine - INFO - Epoch(train) [116][20/79] lr: 6.3927e-03 eta: 5:32:39 time: 0.2416 data_time: 0.0008 memory: 1833 loss: 1.5859 loss_prob: 0.9055 loss_thr: 0.5254 loss_db: 0.1550 2022/12/19 20:49:09 - mmengine - INFO - Epoch(train) [116][25/79] lr: 6.3927e-03 eta: 5:32:38 time: 0.2432 data_time: 0.0008 memory: 1833 loss: 1.5504 loss_prob: 0.8814 loss_thr: 0.5172 loss_db: 0.1519 2022/12/19 20:49:10 - mmengine - INFO - Epoch(train) [116][30/79] lr: 6.3927e-03 eta: 5:32:36 time: 0.2251 data_time: 0.0007 memory: 1833 loss: 1.5126 loss_prob: 0.8592 loss_thr: 0.5038 loss_db: 0.1496 2022/12/19 20:49:11 - mmengine - INFO - Epoch(train) [116][35/79] lr: 6.3927e-03 eta: 5:32:35 time: 0.2224 data_time: 0.0007 memory: 1833 loss: 1.5788 loss_prob: 0.9010 loss_thr: 0.5239 loss_db: 0.1540 2022/12/19 20:49:13 - mmengine - INFO - Epoch(train) [116][40/79] lr: 6.3927e-03 eta: 5:32:34 time: 0.2382 data_time: 0.0007 memory: 1833 loss: 1.5587 loss_prob: 0.8888 loss_thr: 0.5217 loss_db: 0.1482 2022/12/19 20:49:14 - mmengine - INFO - Epoch(train) [116][45/79] lr: 6.3927e-03 eta: 5:32:34 time: 0.2529 data_time: 0.0007 memory: 1833 loss: 1.5977 loss_prob: 0.9211 loss_thr: 0.5200 loss_db: 0.1566 2022/12/19 20:49:15 - mmengine - INFO - Epoch(train) [116][50/79] lr: 6.3927e-03 eta: 5:32:34 time: 0.2558 data_time: 0.0008 memory: 1833 loss: 1.6164 loss_prob: 0.9373 loss_thr: 0.5189 loss_db: 0.1602 2022/12/19 20:49:16 - mmengine - INFO - Epoch(train) [116][55/79] lr: 6.3927e-03 eta: 5:32:32 time: 0.2353 data_time: 0.0008 memory: 1833 loss: 1.6090 loss_prob: 0.9250 loss_thr: 0.5259 loss_db: 0.1581 2022/12/19 20:49:17 - mmengine - INFO - Epoch(train) [116][60/79] lr: 6.3927e-03 eta: 5:32:29 time: 0.2025 data_time: 0.0006 memory: 1833 loss: 1.5781 loss_prob: 0.9032 loss_thr: 0.5208 loss_db: 0.1541 2022/12/19 20:49:18 - mmengine - INFO - Epoch(train) [116][65/79] lr: 6.3927e-03 eta: 5:32:26 time: 0.1913 data_time: 0.0006 memory: 1833 loss: 1.5369 loss_prob: 0.8752 loss_thr: 0.5136 loss_db: 0.1481 2022/12/19 20:49:19 - mmengine - INFO - Epoch(train) [116][70/79] lr: 6.3927e-03 eta: 5:32:24 time: 0.2038 data_time: 0.0007 memory: 1833 loss: 1.5969 loss_prob: 0.9139 loss_thr: 0.5267 loss_db: 0.1563 2022/12/19 20:49:20 - mmengine - INFO - Epoch(train) [116][75/79] lr: 6.3927e-03 eta: 5:32:22 time: 0.2082 data_time: 0.0006 memory: 1833 loss: 1.6623 loss_prob: 0.9578 loss_thr: 0.5401 loss_db: 0.1643 2022/12/19 20:49:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:49:23 - mmengine - INFO - Epoch(train) [117][5/79] lr: 6.3874e-03 eta: 5:32:28 time: 0.3174 data_time: 0.0926 memory: 1833 loss: 1.7025 loss_prob: 0.9823 loss_thr: 0.5552 loss_db: 0.1650 2022/12/19 20:49:24 - mmengine - INFO - Epoch(train) [117][10/79] lr: 6.3874e-03 eta: 5:32:27 time: 0.3244 data_time: 0.0927 memory: 1833 loss: 1.5980 loss_prob: 0.9078 loss_thr: 0.5357 loss_db: 0.1546 2022/12/19 20:49:26 - mmengine - INFO - Epoch(train) [117][15/79] lr: 6.3874e-03 eta: 5:32:25 time: 0.2299 data_time: 0.0008 memory: 1833 loss: 1.6447 loss_prob: 0.9441 loss_thr: 0.5357 loss_db: 0.1649 2022/12/19 20:49:27 - mmengine - INFO - Epoch(train) [117][20/79] lr: 6.3874e-03 eta: 5:32:23 time: 0.2195 data_time: 0.0008 memory: 1833 loss: 1.6521 loss_prob: 0.9615 loss_thr: 0.5227 loss_db: 0.1679 2022/12/19 20:49:28 - mmengine - INFO - Epoch(train) [117][25/79] lr: 6.3874e-03 eta: 5:32:22 time: 0.2276 data_time: 0.0008 memory: 1833 loss: 1.5826 loss_prob: 0.9046 loss_thr: 0.5263 loss_db: 0.1517 2022/12/19 20:49:29 - mmengine - INFO - Epoch(train) [117][30/79] lr: 6.3874e-03 eta: 5:32:21 time: 0.2379 data_time: 0.0007 memory: 1833 loss: 1.5893 loss_prob: 0.8945 loss_thr: 0.5443 loss_db: 0.1505 2022/12/19 20:49:30 - mmengine - INFO - Epoch(train) [117][35/79] lr: 6.3874e-03 eta: 5:32:19 time: 0.2230 data_time: 0.0007 memory: 1833 loss: 1.6351 loss_prob: 0.9249 loss_thr: 0.5535 loss_db: 0.1567 2022/12/19 20:49:31 - mmengine - INFO - Epoch(train) [117][40/79] lr: 6.3874e-03 eta: 5:32:20 time: 0.2461 data_time: 0.0009 memory: 1833 loss: 1.6410 loss_prob: 0.9461 loss_thr: 0.5359 loss_db: 0.1589 2022/12/19 20:49:33 - mmengine - INFO - Epoch(train) [117][45/79] lr: 6.3874e-03 eta: 5:32:18 time: 0.2446 data_time: 0.0010 memory: 1833 loss: 1.5204 loss_prob: 0.8751 loss_thr: 0.4975 loss_db: 0.1478 2022/12/19 20:49:34 - mmengine - INFO - Epoch(train) [117][50/79] lr: 6.3874e-03 eta: 5:32:16 time: 0.2140 data_time: 0.0008 memory: 1833 loss: 1.4471 loss_prob: 0.8244 loss_thr: 0.4823 loss_db: 0.1404 2022/12/19 20:49:35 - mmengine - INFO - Epoch(train) [117][55/79] lr: 6.3874e-03 eta: 5:32:15 time: 0.2266 data_time: 0.0007 memory: 1833 loss: 1.5348 loss_prob: 0.8679 loss_thr: 0.5187 loss_db: 0.1482 2022/12/19 20:49:36 - mmengine - INFO - Epoch(train) [117][60/79] lr: 6.3874e-03 eta: 5:32:12 time: 0.2164 data_time: 0.0007 memory: 1833 loss: 1.6314 loss_prob: 0.9305 loss_thr: 0.5431 loss_db: 0.1577 2022/12/19 20:49:37 - mmengine - INFO - Epoch(train) [117][65/79] lr: 6.3874e-03 eta: 5:32:09 time: 0.1995 data_time: 0.0007 memory: 1833 loss: 1.6545 loss_prob: 0.9594 loss_thr: 0.5325 loss_db: 0.1626 2022/12/19 20:49:38 - mmengine - INFO - Epoch(train) [117][70/79] lr: 6.3874e-03 eta: 5:32:08 time: 0.2111 data_time: 0.0007 memory: 1833 loss: 1.5619 loss_prob: 0.8943 loss_thr: 0.5156 loss_db: 0.1519 2022/12/19 20:49:39 - mmengine - INFO - Epoch(train) [117][75/79] lr: 6.3874e-03 eta: 5:32:05 time: 0.2142 data_time: 0.0007 memory: 1833 loss: 1.4802 loss_prob: 0.8266 loss_thr: 0.5119 loss_db: 0.1418 2022/12/19 20:49:40 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:49:42 - mmengine - INFO - Epoch(train) [118][5/79] lr: 6.3821e-03 eta: 5:32:11 time: 0.3083 data_time: 0.0309 memory: 1833 loss: 1.4959 loss_prob: 0.8400 loss_thr: 0.5105 loss_db: 0.1453 2022/12/19 20:49:43 - mmengine - INFO - Epoch(train) [118][10/79] lr: 6.3821e-03 eta: 5:32:09 time: 0.3282 data_time: 0.0309 memory: 1833 loss: 1.5492 loss_prob: 0.8576 loss_thr: 0.5451 loss_db: 0.1465 2022/12/19 20:49:44 - mmengine - INFO - Epoch(train) [118][15/79] lr: 6.3821e-03 eta: 5:32:07 time: 0.2154 data_time: 0.0007 memory: 1833 loss: 1.6249 loss_prob: 0.9195 loss_thr: 0.5471 loss_db: 0.1584 2022/12/19 20:49:45 - mmengine - INFO - Epoch(train) [118][20/79] lr: 6.3821e-03 eta: 5:32:05 time: 0.2115 data_time: 0.0007 memory: 1833 loss: 1.5511 loss_prob: 0.8899 loss_thr: 0.5069 loss_db: 0.1543 2022/12/19 20:49:46 - mmengine - INFO - Epoch(train) [118][25/79] lr: 6.3821e-03 eta: 5:32:03 time: 0.2181 data_time: 0.0007 memory: 1833 loss: 1.5357 loss_prob: 0.8802 loss_thr: 0.5020 loss_db: 0.1535 2022/12/19 20:49:47 - mmengine - INFO - Epoch(train) [118][30/79] lr: 6.3821e-03 eta: 5:32:03 time: 0.2405 data_time: 0.0010 memory: 1833 loss: 1.5901 loss_prob: 0.9161 loss_thr: 0.5147 loss_db: 0.1593 2022/12/19 20:49:49 - mmengine - INFO - Epoch(train) [118][35/79] lr: 6.3821e-03 eta: 5:32:02 time: 0.2432 data_time: 0.0010 memory: 1833 loss: 1.5328 loss_prob: 0.8699 loss_thr: 0.5109 loss_db: 0.1520 2022/12/19 20:49:50 - mmengine - INFO - Epoch(train) [118][40/79] lr: 6.3821e-03 eta: 5:32:01 time: 0.2345 data_time: 0.0007 memory: 1833 loss: 1.4731 loss_prob: 0.8281 loss_thr: 0.5002 loss_db: 0.1448 2022/12/19 20:49:51 - mmengine - INFO - Epoch(train) [118][45/79] lr: 6.3821e-03 eta: 5:31:58 time: 0.2196 data_time: 0.0008 memory: 1833 loss: 1.5936 loss_prob: 0.9170 loss_thr: 0.5202 loss_db: 0.1565 2022/12/19 20:49:52 - mmengine - INFO - Epoch(train) [118][50/79] lr: 6.3821e-03 eta: 5:31:57 time: 0.2120 data_time: 0.0008 memory: 1833 loss: 1.5918 loss_prob: 0.9173 loss_thr: 0.5186 loss_db: 0.1559 2022/12/19 20:49:53 - mmengine - INFO - Epoch(train) [118][55/79] lr: 6.3821e-03 eta: 5:31:55 time: 0.2287 data_time: 0.0007 memory: 1833 loss: 1.4977 loss_prob: 0.8568 loss_thr: 0.4958 loss_db: 0.1452 2022/12/19 20:49:54 - mmengine - INFO - Epoch(train) [118][60/79] lr: 6.3821e-03 eta: 5:31:54 time: 0.2244 data_time: 0.0006 memory: 1833 loss: 1.5263 loss_prob: 0.8764 loss_thr: 0.5008 loss_db: 0.1491 2022/12/19 20:49:55 - mmengine - INFO - Epoch(train) [118][65/79] lr: 6.3821e-03 eta: 5:31:51 time: 0.2110 data_time: 0.0006 memory: 1833 loss: 1.6043 loss_prob: 0.9220 loss_thr: 0.5249 loss_db: 0.1574 2022/12/19 20:49:56 - mmengine - INFO - Epoch(train) [118][70/79] lr: 6.3821e-03 eta: 5:31:50 time: 0.2159 data_time: 0.0006 memory: 1833 loss: 1.5781 loss_prob: 0.8996 loss_thr: 0.5246 loss_db: 0.1539 2022/12/19 20:49:58 - mmengine - INFO - Epoch(train) [118][75/79] lr: 6.3821e-03 eta: 5:31:49 time: 0.2334 data_time: 0.0006 memory: 1833 loss: 1.4784 loss_prob: 0.8376 loss_thr: 0.4939 loss_db: 0.1470 2022/12/19 20:49:58 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:50:00 - mmengine - INFO - Epoch(train) [119][5/79] lr: 6.3768e-03 eta: 5:31:53 time: 0.3034 data_time: 0.0681 memory: 1833 loss: 1.4959 loss_prob: 0.8402 loss_thr: 0.5127 loss_db: 0.1430 2022/12/19 20:50:01 - mmengine - INFO - Epoch(train) [119][10/79] lr: 6.3768e-03 eta: 5:31:51 time: 0.2930 data_time: 0.0682 memory: 1833 loss: 1.4214 loss_prob: 0.8024 loss_thr: 0.4839 loss_db: 0.1351 2022/12/19 20:50:02 - mmengine - INFO - Epoch(train) [119][15/79] lr: 6.3768e-03 eta: 5:31:49 time: 0.2186 data_time: 0.0007 memory: 1833 loss: 1.4863 loss_prob: 0.8482 loss_thr: 0.4937 loss_db: 0.1444 2022/12/19 20:50:03 - mmengine - INFO - Epoch(train) [119][20/79] lr: 6.3768e-03 eta: 5:31:46 time: 0.2113 data_time: 0.0007 memory: 1833 loss: 1.5740 loss_prob: 0.8891 loss_thr: 0.5306 loss_db: 0.1543 2022/12/19 20:50:05 - mmengine - INFO - Epoch(train) [119][25/79] lr: 6.3768e-03 eta: 5:31:45 time: 0.2198 data_time: 0.0007 memory: 1833 loss: 1.4613 loss_prob: 0.8141 loss_thr: 0.5065 loss_db: 0.1407 2022/12/19 20:50:06 - mmengine - INFO - Epoch(train) [119][30/79] lr: 6.3768e-03 eta: 5:31:43 time: 0.2237 data_time: 0.0007 memory: 1833 loss: 1.3792 loss_prob: 0.7691 loss_thr: 0.4769 loss_db: 0.1331 2022/12/19 20:50:07 - mmengine - INFO - Epoch(train) [119][35/79] lr: 6.3768e-03 eta: 5:31:42 time: 0.2174 data_time: 0.0007 memory: 1833 loss: 1.5416 loss_prob: 0.8744 loss_thr: 0.5167 loss_db: 0.1505 2022/12/19 20:50:08 - mmengine - INFO - Epoch(train) [119][40/79] lr: 6.3768e-03 eta: 5:31:40 time: 0.2194 data_time: 0.0007 memory: 1833 loss: 1.5349 loss_prob: 0.8732 loss_thr: 0.5102 loss_db: 0.1516 2022/12/19 20:50:09 - mmengine - INFO - Epoch(train) [119][45/79] lr: 6.3768e-03 eta: 5:31:40 time: 0.2413 data_time: 0.0007 memory: 1833 loss: 1.5421 loss_prob: 0.8770 loss_thr: 0.5124 loss_db: 0.1526 2022/12/19 20:50:10 - mmengine - INFO - Epoch(train) [119][50/79] lr: 6.3768e-03 eta: 5:31:38 time: 0.2446 data_time: 0.0007 memory: 1833 loss: 1.6081 loss_prob: 0.9138 loss_thr: 0.5377 loss_db: 0.1566 2022/12/19 20:50:11 - mmengine - INFO - Epoch(train) [119][55/79] lr: 6.3768e-03 eta: 5:31:36 time: 0.2133 data_time: 0.0007 memory: 1833 loss: 1.6244 loss_prob: 0.9336 loss_thr: 0.5320 loss_db: 0.1588 2022/12/19 20:50:13 - mmengine - INFO - Epoch(train) [119][60/79] lr: 6.3768e-03 eta: 5:31:36 time: 0.2272 data_time: 0.0006 memory: 1833 loss: 1.5581 loss_prob: 0.8919 loss_thr: 0.5155 loss_db: 0.1507 2022/12/19 20:50:14 - mmengine - INFO - Epoch(train) [119][65/79] lr: 6.3768e-03 eta: 5:31:33 time: 0.2244 data_time: 0.0006 memory: 1833 loss: 1.4343 loss_prob: 0.8096 loss_thr: 0.4857 loss_db: 0.1390 2022/12/19 20:50:15 - mmengine - INFO - Epoch(train) [119][70/79] lr: 6.3768e-03 eta: 5:31:32 time: 0.2189 data_time: 0.0007 memory: 1833 loss: 1.6419 loss_prob: 0.9476 loss_thr: 0.5317 loss_db: 0.1627 2022/12/19 20:50:16 - mmengine - INFO - Epoch(train) [119][75/79] lr: 6.3768e-03 eta: 5:31:29 time: 0.2191 data_time: 0.0008 memory: 1833 loss: 1.6823 loss_prob: 0.9693 loss_thr: 0.5455 loss_db: 0.1675 2022/12/19 20:50:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:50:19 - mmengine - INFO - Epoch(train) [120][5/79] lr: 6.3715e-03 eta: 5:31:36 time: 0.3298 data_time: 0.0342 memory: 1833 loss: 1.4575 loss_prob: 0.8350 loss_thr: 0.4768 loss_db: 0.1457 2022/12/19 20:50:20 - mmengine - INFO - Epoch(train) [120][10/79] lr: 6.3715e-03 eta: 5:31:35 time: 0.3456 data_time: 0.0342 memory: 1833 loss: 1.5275 loss_prob: 0.8813 loss_thr: 0.4959 loss_db: 0.1503 2022/12/19 20:50:21 - mmengine - INFO - Epoch(train) [120][15/79] lr: 6.3715e-03 eta: 5:31:33 time: 0.2200 data_time: 0.0008 memory: 1833 loss: 1.4762 loss_prob: 0.8388 loss_thr: 0.4965 loss_db: 0.1410 2022/12/19 20:50:22 - mmengine - INFO - Epoch(train) [120][20/79] lr: 6.3715e-03 eta: 5:31:31 time: 0.2221 data_time: 0.0008 memory: 1833 loss: 1.5235 loss_prob: 0.8729 loss_thr: 0.5065 loss_db: 0.1441 2022/12/19 20:50:23 - mmengine - INFO - Epoch(train) [120][25/79] lr: 6.3715e-03 eta: 5:31:30 time: 0.2231 data_time: 0.0008 memory: 1833 loss: 1.7140 loss_prob: 1.0024 loss_thr: 0.5449 loss_db: 0.1667 2022/12/19 20:50:24 - mmengine - INFO - Epoch(train) [120][30/79] lr: 6.3715e-03 eta: 5:31:28 time: 0.2260 data_time: 0.0008 memory: 1833 loss: 1.7357 loss_prob: 1.0106 loss_thr: 0.5528 loss_db: 0.1722 2022/12/19 20:50:26 - mmengine - INFO - Epoch(train) [120][35/79] lr: 6.3715e-03 eta: 5:31:26 time: 0.2162 data_time: 0.0008 memory: 1833 loss: 1.5806 loss_prob: 0.9218 loss_thr: 0.5012 loss_db: 0.1576 2022/12/19 20:50:27 - mmengine - INFO - Epoch(train) [120][40/79] lr: 6.3715e-03 eta: 5:31:23 time: 0.2013 data_time: 0.0008 memory: 1833 loss: 1.5654 loss_prob: 0.9174 loss_thr: 0.4901 loss_db: 0.1579 2022/12/19 20:50:28 - mmengine - INFO - Epoch(train) [120][45/79] lr: 6.3715e-03 eta: 5:31:21 time: 0.2049 data_time: 0.0008 memory: 1833 loss: 1.6797 loss_prob: 0.9785 loss_thr: 0.5376 loss_db: 0.1636 2022/12/19 20:50:29 - mmengine - INFO - Epoch(train) [120][50/79] lr: 6.3715e-03 eta: 5:31:19 time: 0.2190 data_time: 0.0007 memory: 1833 loss: 1.6426 loss_prob: 0.9524 loss_thr: 0.5294 loss_db: 0.1608 2022/12/19 20:50:30 - mmengine - INFO - Epoch(train) [120][55/79] lr: 6.3715e-03 eta: 5:31:17 time: 0.2124 data_time: 0.0007 memory: 1833 loss: 1.5520 loss_prob: 0.8989 loss_thr: 0.4972 loss_db: 0.1559 2022/12/19 20:50:31 - mmengine - INFO - Epoch(train) [120][60/79] lr: 6.3715e-03 eta: 5:31:17 time: 0.2330 data_time: 0.0008 memory: 1833 loss: 1.4566 loss_prob: 0.8296 loss_thr: 0.4837 loss_db: 0.1433 2022/12/19 20:50:32 - mmengine - INFO - Epoch(train) [120][65/79] lr: 6.3715e-03 eta: 5:31:16 time: 0.2516 data_time: 0.0008 memory: 1833 loss: 1.4464 loss_prob: 0.8161 loss_thr: 0.4898 loss_db: 0.1405 2022/12/19 20:50:33 - mmengine - INFO - Epoch(train) [120][70/79] lr: 6.3715e-03 eta: 5:31:13 time: 0.2153 data_time: 0.0006 memory: 1833 loss: 1.4037 loss_prob: 0.8001 loss_thr: 0.4653 loss_db: 0.1383 2022/12/19 20:50:34 - mmengine - INFO - Epoch(train) [120][75/79] lr: 6.3715e-03 eta: 5:31:12 time: 0.2103 data_time: 0.0006 memory: 1833 loss: 1.5118 loss_prob: 0.8624 loss_thr: 0.5001 loss_db: 0.1492 2022/12/19 20:50:35 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:50:35 - mmengine - INFO - Epoch(val) [120][5/75] eta: 0:00:01 time: 0.0267 data_time: 0.0120 memory: 1833 2022/12/19 20:50:35 - mmengine - INFO - Epoch(val) [120][10/75] eta: 0:00:01 time: 0.0206 data_time: 0.0030 memory: 425 2022/12/19 20:50:35 - mmengine - INFO - Epoch(val) [120][15/75] eta: 0:00:01 time: 0.0362 data_time: 0.0004 memory: 425 2022/12/19 20:50:36 - mmengine - INFO - Epoch(val) [120][20/75] eta: 0:00:01 time: 0.0364 data_time: 0.0004 memory: 425 2022/12/19 20:50:36 - mmengine - INFO - Epoch(val) [120][25/75] eta: 0:00:01 time: 0.0264 data_time: 0.0085 memory: 390 2022/12/19 20:50:36 - mmengine - INFO - Epoch(val) [120][30/75] eta: 0:00:01 time: 0.0715 data_time: 0.0417 memory: 390 2022/12/19 20:50:37 - mmengine - INFO - Epoch(val) [120][35/75] eta: 0:00:01 time: 0.0798 data_time: 0.0509 memory: 368 2022/12/19 20:50:37 - mmengine - INFO - Epoch(val) [120][40/75] eta: 0:00:01 time: 0.0480 data_time: 0.0286 memory: 390 2022/12/19 20:50:37 - mmengine - INFO - Epoch(val) [120][45/75] eta: 0:00:01 time: 0.0325 data_time: 0.0112 memory: 425 2022/12/19 20:50:37 - mmengine - INFO - Epoch(val) [120][50/75] eta: 0:00:00 time: 0.0193 data_time: 0.0003 memory: 430 2022/12/19 20:50:37 - mmengine - INFO - Epoch(val) [120][55/75] eta: 0:00:00 time: 0.0212 data_time: 0.0020 memory: 407 2022/12/19 20:50:37 - mmengine - INFO - Epoch(val) [120][60/75] eta: 0:00:00 time: 0.0267 data_time: 0.0020 memory: 390 2022/12/19 20:50:37 - mmengine - INFO - Epoch(val) [120][65/75] eta: 0:00:00 time: 0.0270 data_time: 0.0004 memory: 390 2022/12/19 20:50:38 - mmengine - INFO - Epoch(val) [120][70/75] eta: 0:00:00 time: 0.0352 data_time: 0.0004 memory: 425 2022/12/19 20:50:38 - mmengine - INFO - Epoch(val) [120][75/75] eta: 0:00:00 time: 0.0395 data_time: 0.0092 memory: 368 2022/12/19 20:50:38 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 20:50:38 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7734, precision: 0.6307, hmean: 0.6948 2022/12/19 20:50:38 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7734, precision: 0.7126, hmean: 0.7417 2022/12/19 20:50:38 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7693, precision: 0.7753, hmean: 0.7723 2022/12/19 20:50:38 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7454, precision: 0.8338, hmean: 0.7871 2022/12/19 20:50:38 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6330, precision: 0.8890, hmean: 0.7395 2022/12/19 20:50:38 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.2284, precision: 0.9476, hmean: 0.3681 2022/12/19 20:50:38 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0050, precision: 1.0000, hmean: 0.0099 2022/12/19 20:50:38 - mmengine - INFO - Epoch(val) [120][75/75] icdar/precision: 0.8338 icdar/recall: 0.7454 icdar/hmean: 0.7871 2022/12/19 20:50:40 - mmengine - INFO - Epoch(train) [121][5/79] lr: 6.3662e-03 eta: 5:31:16 time: 0.3014 data_time: 0.0334 memory: 1833 loss: 1.7599 loss_prob: 1.0307 loss_thr: 0.5554 loss_db: 0.1738 2022/12/19 20:50:41 - mmengine - INFO - Epoch(train) [121][10/79] lr: 6.3662e-03 eta: 5:31:15 time: 0.3360 data_time: 0.0335 memory: 1833 loss: 1.6255 loss_prob: 0.9365 loss_thr: 0.5296 loss_db: 0.1593 2022/12/19 20:50:42 - mmengine - INFO - Epoch(train) [121][15/79] lr: 6.3662e-03 eta: 5:31:13 time: 0.2296 data_time: 0.0007 memory: 1833 loss: 1.5891 loss_prob: 0.9050 loss_thr: 0.5282 loss_db: 0.1558 2022/12/19 20:50:43 - mmengine - INFO - Epoch(train) [121][20/79] lr: 6.3662e-03 eta: 5:31:11 time: 0.2062 data_time: 0.0007 memory: 1833 loss: 1.7067 loss_prob: 1.0025 loss_thr: 0.5381 loss_db: 0.1662 2022/12/19 20:50:44 - mmengine - INFO - Epoch(train) [121][25/79] lr: 6.3662e-03 eta: 5:31:09 time: 0.2191 data_time: 0.0007 memory: 1833 loss: 1.7731 loss_prob: 1.0470 loss_thr: 0.5509 loss_db: 0.1753 2022/12/19 20:50:45 - mmengine - INFO - Epoch(train) [121][30/79] lr: 6.3662e-03 eta: 5:31:07 time: 0.2156 data_time: 0.0007 memory: 1833 loss: 1.6703 loss_prob: 0.9704 loss_thr: 0.5339 loss_db: 0.1660 2022/12/19 20:50:47 - mmengine - INFO - Epoch(train) [121][35/79] lr: 6.3662e-03 eta: 5:31:07 time: 0.2333 data_time: 0.0009 memory: 1833 loss: 1.7335 loss_prob: 1.0144 loss_thr: 0.5470 loss_db: 0.1721 2022/12/19 20:50:48 - mmengine - INFO - Epoch(train) [121][40/79] lr: 6.3662e-03 eta: 5:31:04 time: 0.2239 data_time: 0.0010 memory: 1833 loss: 1.7130 loss_prob: 0.9871 loss_thr: 0.5538 loss_db: 0.1721 2022/12/19 20:50:49 - mmengine - INFO - Epoch(train) [121][45/79] lr: 6.3662e-03 eta: 5:31:02 time: 0.1989 data_time: 0.0008 memory: 1833 loss: 1.6293 loss_prob: 0.9368 loss_thr: 0.5301 loss_db: 0.1624 2022/12/19 20:50:50 - mmengine - INFO - Epoch(train) [121][50/79] lr: 6.3662e-03 eta: 5:31:00 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 1.5237 loss_prob: 0.8674 loss_thr: 0.5038 loss_db: 0.1525 2022/12/19 20:50:51 - mmengine - INFO - Epoch(train) [121][55/79] lr: 6.3662e-03 eta: 5:30:58 time: 0.2127 data_time: 0.0007 memory: 1833 loss: 1.5127 loss_prob: 0.8578 loss_thr: 0.5068 loss_db: 0.1482 2022/12/19 20:50:52 - mmengine - INFO - Epoch(train) [121][60/79] lr: 6.3662e-03 eta: 5:30:55 time: 0.1978 data_time: 0.0006 memory: 1833 loss: 1.7198 loss_prob: 1.0245 loss_thr: 0.5257 loss_db: 0.1696 2022/12/19 20:50:53 - mmengine - INFO - Epoch(train) [121][65/79] lr: 6.3662e-03 eta: 5:30:52 time: 0.2015 data_time: 0.0006 memory: 1833 loss: 1.7726 loss_prob: 1.0489 loss_thr: 0.5481 loss_db: 0.1756 2022/12/19 20:50:54 - mmengine - INFO - Epoch(train) [121][70/79] lr: 6.3662e-03 eta: 5:30:51 time: 0.2162 data_time: 0.0006 memory: 1833 loss: 1.7344 loss_prob: 0.9999 loss_thr: 0.5676 loss_db: 0.1669 2022/12/19 20:50:55 - mmengine - INFO - Epoch(train) [121][75/79] lr: 6.3662e-03 eta: 5:30:49 time: 0.2172 data_time: 0.0006 memory: 1833 loss: 1.7012 loss_prob: 0.9843 loss_thr: 0.5502 loss_db: 0.1667 2022/12/19 20:50:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:50:58 - mmengine - INFO - Epoch(train) [122][5/79] lr: 6.3609e-03 eta: 5:30:53 time: 0.3128 data_time: 0.0448 memory: 1833 loss: 1.5398 loss_prob: 0.8703 loss_thr: 0.5196 loss_db: 0.1499 2022/12/19 20:50:59 - mmengine - INFO - Epoch(train) [122][10/79] lr: 6.3609e-03 eta: 5:30:50 time: 0.3019 data_time: 0.0449 memory: 1833 loss: 1.6033 loss_prob: 0.9162 loss_thr: 0.5312 loss_db: 0.1559 2022/12/19 20:51:00 - mmengine - INFO - Epoch(train) [122][15/79] lr: 6.3609e-03 eta: 5:30:47 time: 0.1961 data_time: 0.0007 memory: 1833 loss: 1.5693 loss_prob: 0.9064 loss_thr: 0.5053 loss_db: 0.1575 2022/12/19 20:51:01 - mmengine - INFO - Epoch(train) [122][20/79] lr: 6.3609e-03 eta: 5:30:45 time: 0.2025 data_time: 0.0007 memory: 1833 loss: 1.5644 loss_prob: 0.8968 loss_thr: 0.5102 loss_db: 0.1574 2022/12/19 20:51:02 - mmengine - INFO - Epoch(train) [122][25/79] lr: 6.3609e-03 eta: 5:30:44 time: 0.2205 data_time: 0.0008 memory: 1833 loss: 1.5043 loss_prob: 0.8609 loss_thr: 0.4939 loss_db: 0.1496 2022/12/19 20:51:03 - mmengine - INFO - Epoch(train) [122][30/79] lr: 6.3609e-03 eta: 5:30:44 time: 0.2412 data_time: 0.0010 memory: 1833 loss: 1.4596 loss_prob: 0.8384 loss_thr: 0.4747 loss_db: 0.1465 2022/12/19 20:51:04 - mmengine - INFO - Epoch(train) [122][35/79] lr: 6.3609e-03 eta: 5:30:42 time: 0.2335 data_time: 0.0010 memory: 1833 loss: 1.5398 loss_prob: 0.8830 loss_thr: 0.5025 loss_db: 0.1542 2022/12/19 20:51:05 - mmengine - INFO - Epoch(train) [122][40/79] lr: 6.3609e-03 eta: 5:30:40 time: 0.2191 data_time: 0.0009 memory: 1833 loss: 1.4590 loss_prob: 0.8246 loss_thr: 0.4906 loss_db: 0.1439 2022/12/19 20:51:06 - mmengine - INFO - Epoch(train) [122][45/79] lr: 6.3609e-03 eta: 5:30:38 time: 0.2140 data_time: 0.0008 memory: 1833 loss: 1.4235 loss_prob: 0.8150 loss_thr: 0.4678 loss_db: 0.1407 2022/12/19 20:51:08 - mmengine - INFO - Epoch(train) [122][50/79] lr: 6.3609e-03 eta: 5:30:36 time: 0.2112 data_time: 0.0007 memory: 1833 loss: 1.5052 loss_prob: 0.8672 loss_thr: 0.4839 loss_db: 0.1540 2022/12/19 20:51:09 - mmengine - INFO - Epoch(train) [122][55/79] lr: 6.3609e-03 eta: 5:30:34 time: 0.2151 data_time: 0.0007 memory: 1833 loss: 1.5151 loss_prob: 0.8566 loss_thr: 0.5073 loss_db: 0.1512 2022/12/19 20:51:10 - mmengine - INFO - Epoch(train) [122][60/79] lr: 6.3609e-03 eta: 5:30:33 time: 0.2331 data_time: 0.0007 memory: 1833 loss: 1.4132 loss_prob: 0.7853 loss_thr: 0.4934 loss_db: 0.1346 2022/12/19 20:51:11 - mmengine - INFO - Epoch(train) [122][65/79] lr: 6.3609e-03 eta: 5:30:31 time: 0.2245 data_time: 0.0007 memory: 1833 loss: 1.5671 loss_prob: 0.8914 loss_thr: 0.5217 loss_db: 0.1541 2022/12/19 20:51:12 - mmengine - INFO - Epoch(train) [122][70/79] lr: 6.3609e-03 eta: 5:30:27 time: 0.1913 data_time: 0.0007 memory: 1833 loss: 1.7651 loss_prob: 1.0157 loss_thr: 0.5745 loss_db: 0.1749 2022/12/19 20:51:13 - mmengine - INFO - Epoch(train) [122][75/79] lr: 6.3609e-03 eta: 5:30:25 time: 0.1939 data_time: 0.0006 memory: 1833 loss: 1.6636 loss_prob: 0.9335 loss_thr: 0.5674 loss_db: 0.1628 2022/12/19 20:51:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:51:15 - mmengine - INFO - Epoch(train) [123][5/79] lr: 6.3556e-03 eta: 5:30:27 time: 0.2755 data_time: 0.0442 memory: 1833 loss: 1.8053 loss_prob: 1.0613 loss_thr: 0.5663 loss_db: 0.1777 2022/12/19 20:51:16 - mmengine - INFO - Epoch(train) [123][10/79] lr: 6.3556e-03 eta: 5:30:25 time: 0.2961 data_time: 0.0443 memory: 1833 loss: 1.5626 loss_prob: 0.8885 loss_thr: 0.5213 loss_db: 0.1528 2022/12/19 20:51:18 - mmengine - INFO - Epoch(train) [123][15/79] lr: 6.3556e-03 eta: 5:30:23 time: 0.2178 data_time: 0.0008 memory: 1833 loss: 1.4692 loss_prob: 0.8249 loss_thr: 0.5008 loss_db: 0.1434 2022/12/19 20:51:19 - mmengine - INFO - Epoch(train) [123][20/79] lr: 6.3556e-03 eta: 5:30:25 time: 0.2590 data_time: 0.0009 memory: 1833 loss: 1.4422 loss_prob: 0.8008 loss_thr: 0.5022 loss_db: 0.1393 2022/12/19 20:51:20 - mmengine - INFO - Epoch(train) [123][25/79] lr: 6.3556e-03 eta: 5:30:24 time: 0.2722 data_time: 0.0009 memory: 1833 loss: 1.7384 loss_prob: 1.0167 loss_thr: 0.5503 loss_db: 0.1714 2022/12/19 20:51:21 - mmengine - INFO - Epoch(train) [123][30/79] lr: 6.3556e-03 eta: 5:30:24 time: 0.2475 data_time: 0.0008 memory: 1833 loss: 1.7817 loss_prob: 1.0475 loss_thr: 0.5559 loss_db: 0.1783 2022/12/19 20:51:23 - mmengine - INFO - Epoch(train) [123][35/79] lr: 6.3556e-03 eta: 5:30:22 time: 0.2312 data_time: 0.0008 memory: 1833 loss: 1.6668 loss_prob: 0.9566 loss_thr: 0.5448 loss_db: 0.1654 2022/12/19 20:51:24 - mmengine - INFO - Epoch(train) [123][40/79] lr: 6.3556e-03 eta: 5:30:20 time: 0.2157 data_time: 0.0008 memory: 1833 loss: 1.5825 loss_prob: 0.9069 loss_thr: 0.5183 loss_db: 0.1573 2022/12/19 20:51:25 - mmengine - INFO - Epoch(train) [123][45/79] lr: 6.3556e-03 eta: 5:30:17 time: 0.2092 data_time: 0.0009 memory: 1833 loss: 1.5461 loss_prob: 0.8909 loss_thr: 0.5008 loss_db: 0.1543 2022/12/19 20:51:26 - mmengine - INFO - Epoch(train) [123][50/79] lr: 6.3556e-03 eta: 5:30:16 time: 0.2152 data_time: 0.0008 memory: 1833 loss: 1.5305 loss_prob: 0.8719 loss_thr: 0.5102 loss_db: 0.1485 2022/12/19 20:51:27 - mmengine - INFO - Epoch(train) [123][55/79] lr: 6.3556e-03 eta: 5:30:14 time: 0.2224 data_time: 0.0007 memory: 1833 loss: 1.5947 loss_prob: 0.9225 loss_thr: 0.5141 loss_db: 0.1580 2022/12/19 20:51:28 - mmengine - INFO - Epoch(train) [123][60/79] lr: 6.3556e-03 eta: 5:30:12 time: 0.2119 data_time: 0.0006 memory: 1833 loss: 1.7057 loss_prob: 0.9917 loss_thr: 0.5432 loss_db: 0.1708 2022/12/19 20:51:29 - mmengine - INFO - Epoch(train) [123][65/79] lr: 6.3556e-03 eta: 5:30:10 time: 0.2113 data_time: 0.0006 memory: 1833 loss: 1.5941 loss_prob: 0.9040 loss_thr: 0.5346 loss_db: 0.1555 2022/12/19 20:51:30 - mmengine - INFO - Epoch(train) [123][70/79] lr: 6.3556e-03 eta: 5:30:08 time: 0.2155 data_time: 0.0007 memory: 1833 loss: 1.5715 loss_prob: 0.8921 loss_thr: 0.5272 loss_db: 0.1522 2022/12/19 20:51:31 - mmengine - INFO - Epoch(train) [123][75/79] lr: 6.3556e-03 eta: 5:30:06 time: 0.2129 data_time: 0.0006 memory: 1833 loss: 1.5202 loss_prob: 0.8674 loss_thr: 0.5053 loss_db: 0.1475 2022/12/19 20:51:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:51:33 - mmengine - INFO - Epoch(train) [124][5/79] lr: 6.3503e-03 eta: 5:30:05 time: 0.2442 data_time: 0.0414 memory: 1833 loss: 1.6049 loss_prob: 0.9204 loss_thr: 0.5253 loss_db: 0.1592 2022/12/19 20:51:35 - mmengine - INFO - Epoch(train) [124][10/79] lr: 6.3503e-03 eta: 5:30:08 time: 0.3153 data_time: 0.0589 memory: 1833 loss: 1.5702 loss_prob: 0.8914 loss_thr: 0.5261 loss_db: 0.1527 2022/12/19 20:51:36 - mmengine - INFO - Epoch(train) [124][15/79] lr: 6.3503e-03 eta: 5:30:06 time: 0.2662 data_time: 0.0181 memory: 1833 loss: 1.4698 loss_prob: 0.8333 loss_thr: 0.4918 loss_db: 0.1447 2022/12/19 20:51:37 - mmengine - INFO - Epoch(train) [124][20/79] lr: 6.3503e-03 eta: 5:30:03 time: 0.2100 data_time: 0.0008 memory: 1833 loss: 1.6348 loss_prob: 0.9485 loss_thr: 0.5225 loss_db: 0.1637 2022/12/19 20:51:38 - mmengine - INFO - Epoch(train) [124][25/79] lr: 6.3503e-03 eta: 5:30:02 time: 0.2155 data_time: 0.0008 memory: 1833 loss: 1.7896 loss_prob: 1.0442 loss_thr: 0.5674 loss_db: 0.1779 2022/12/19 20:51:39 - mmengine - INFO - Epoch(train) [124][30/79] lr: 6.3503e-03 eta: 5:29:59 time: 0.2113 data_time: 0.0008 memory: 1833 loss: 1.6676 loss_prob: 0.9617 loss_thr: 0.5406 loss_db: 0.1653 2022/12/19 20:51:40 - mmengine - INFO - Epoch(train) [124][35/79] lr: 6.3503e-03 eta: 5:29:58 time: 0.2149 data_time: 0.0007 memory: 1833 loss: 1.5982 loss_prob: 0.9271 loss_thr: 0.5127 loss_db: 0.1584 2022/12/19 20:51:42 - mmengine - INFO - Epoch(train) [124][40/79] lr: 6.3503e-03 eta: 5:29:59 time: 0.2566 data_time: 0.0007 memory: 1833 loss: 1.6175 loss_prob: 0.9313 loss_thr: 0.5274 loss_db: 0.1589 2022/12/19 20:51:43 - mmengine - INFO - Epoch(train) [124][45/79] lr: 6.3503e-03 eta: 5:29:58 time: 0.2561 data_time: 0.0007 memory: 1833 loss: 1.5727 loss_prob: 0.8911 loss_thr: 0.5277 loss_db: 0.1538 2022/12/19 20:51:44 - mmengine - INFO - Epoch(train) [124][50/79] lr: 6.3503e-03 eta: 5:29:56 time: 0.2296 data_time: 0.0007 memory: 1833 loss: 1.5309 loss_prob: 0.8605 loss_thr: 0.5204 loss_db: 0.1500 2022/12/19 20:51:45 - mmengine - INFO - Epoch(train) [124][55/79] lr: 6.3503e-03 eta: 5:29:54 time: 0.2203 data_time: 0.0006 memory: 1833 loss: 1.4611 loss_prob: 0.8152 loss_thr: 0.5033 loss_db: 0.1427 2022/12/19 20:51:46 - mmengine - INFO - Epoch(train) [124][60/79] lr: 6.3503e-03 eta: 5:29:52 time: 0.2100 data_time: 0.0006 memory: 1833 loss: 1.5251 loss_prob: 0.8642 loss_thr: 0.5153 loss_db: 0.1457 2022/12/19 20:51:47 - mmengine - INFO - Epoch(train) [124][65/79] lr: 6.3503e-03 eta: 5:29:51 time: 0.2224 data_time: 0.0006 memory: 1833 loss: 1.5367 loss_prob: 0.8851 loss_thr: 0.5026 loss_db: 0.1490 2022/12/19 20:51:48 - mmengine - INFO - Epoch(train) [124][70/79] lr: 6.3503e-03 eta: 5:29:48 time: 0.2207 data_time: 0.0006 memory: 1833 loss: 1.5500 loss_prob: 0.8903 loss_thr: 0.5040 loss_db: 0.1557 2022/12/19 20:51:49 - mmengine - INFO - Epoch(train) [124][75/79] lr: 6.3503e-03 eta: 5:29:45 time: 0.1918 data_time: 0.0006 memory: 1833 loss: 1.5518 loss_prob: 0.8746 loss_thr: 0.5251 loss_db: 0.1520 2022/12/19 20:51:50 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:51:53 - mmengine - INFO - Epoch(train) [125][5/79] lr: 6.3450e-03 eta: 5:29:57 time: 0.3865 data_time: 0.0616 memory: 1833 loss: 1.5601 loss_prob: 0.8953 loss_thr: 0.5123 loss_db: 0.1526 2022/12/19 20:51:54 - mmengine - INFO - Epoch(train) [125][10/79] lr: 6.3450e-03 eta: 5:29:55 time: 0.3515 data_time: 0.0616 memory: 1833 loss: 1.6018 loss_prob: 0.9278 loss_thr: 0.5167 loss_db: 0.1573 2022/12/19 20:51:55 - mmengine - INFO - Epoch(train) [125][15/79] lr: 6.3450e-03 eta: 5:29:53 time: 0.2176 data_time: 0.0008 memory: 1833 loss: 1.5901 loss_prob: 0.9094 loss_thr: 0.5242 loss_db: 0.1565 2022/12/19 20:51:56 - mmengine - INFO - Epoch(train) [125][20/79] lr: 6.3450e-03 eta: 5:29:52 time: 0.2323 data_time: 0.0008 memory: 1833 loss: 1.4294 loss_prob: 0.7939 loss_thr: 0.4969 loss_db: 0.1387 2022/12/19 20:51:57 - mmengine - INFO - Epoch(train) [125][25/79] lr: 6.3450e-03 eta: 5:29:50 time: 0.2300 data_time: 0.0008 memory: 1833 loss: 1.3722 loss_prob: 0.7625 loss_thr: 0.4788 loss_db: 0.1309 2022/12/19 20:51:58 - mmengine - INFO - Epoch(train) [125][30/79] lr: 6.3450e-03 eta: 5:29:48 time: 0.2116 data_time: 0.0007 memory: 1833 loss: 1.6205 loss_prob: 0.9307 loss_thr: 0.5286 loss_db: 0.1612 2022/12/19 20:52:00 - mmengine - INFO - Epoch(train) [125][35/79] lr: 6.3450e-03 eta: 5:29:47 time: 0.2186 data_time: 0.0008 memory: 1833 loss: 1.6678 loss_prob: 0.9558 loss_thr: 0.5458 loss_db: 0.1662 2022/12/19 20:52:01 - mmengine - INFO - Epoch(train) [125][40/79] lr: 6.3450e-03 eta: 5:29:46 time: 0.2313 data_time: 0.0008 memory: 1833 loss: 1.5096 loss_prob: 0.8682 loss_thr: 0.4896 loss_db: 0.1518 2022/12/19 20:52:02 - mmengine - INFO - Epoch(train) [125][45/79] lr: 6.3450e-03 eta: 5:29:44 time: 0.2236 data_time: 0.0007 memory: 1833 loss: 1.4697 loss_prob: 0.8475 loss_thr: 0.4749 loss_db: 0.1473 2022/12/19 20:52:03 - mmengine - INFO - Epoch(train) [125][50/79] lr: 6.3450e-03 eta: 5:29:42 time: 0.2141 data_time: 0.0007 memory: 1833 loss: 1.6256 loss_prob: 0.9486 loss_thr: 0.5174 loss_db: 0.1596 2022/12/19 20:52:04 - mmengine - INFO - Epoch(train) [125][55/79] lr: 6.3450e-03 eta: 5:29:41 time: 0.2243 data_time: 0.0006 memory: 1833 loss: 1.7040 loss_prob: 0.9970 loss_thr: 0.5376 loss_db: 0.1694 2022/12/19 20:52:05 - mmengine - INFO - Epoch(train) [125][60/79] lr: 6.3450e-03 eta: 5:29:39 time: 0.2329 data_time: 0.0006 memory: 1833 loss: 1.4807 loss_prob: 0.8335 loss_thr: 0.5023 loss_db: 0.1449 2022/12/19 20:52:07 - mmengine - INFO - Epoch(train) [125][65/79] lr: 6.3450e-03 eta: 5:29:40 time: 0.2491 data_time: 0.0007 memory: 1833 loss: 1.4638 loss_prob: 0.8262 loss_thr: 0.4946 loss_db: 0.1430 2022/12/19 20:52:08 - mmengine - INFO - Epoch(train) [125][70/79] lr: 6.3450e-03 eta: 5:29:38 time: 0.2498 data_time: 0.0007 memory: 1833 loss: 1.5079 loss_prob: 0.8474 loss_thr: 0.5121 loss_db: 0.1483 2022/12/19 20:52:09 - mmengine - INFO - Epoch(train) [125][75/79] lr: 6.3450e-03 eta: 5:29:36 time: 0.2190 data_time: 0.0007 memory: 1833 loss: 1.6352 loss_prob: 0.9355 loss_thr: 0.5400 loss_db: 0.1597 2022/12/19 20:52:09 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:52:12 - mmengine - INFO - Epoch(train) [126][5/79] lr: 6.3396e-03 eta: 5:29:41 time: 0.3084 data_time: 0.0444 memory: 1833 loss: 1.5792 loss_prob: 0.8964 loss_thr: 0.5290 loss_db: 0.1538 2022/12/19 20:52:13 - mmengine - INFO - Epoch(train) [126][10/79] lr: 6.3396e-03 eta: 5:29:39 time: 0.3242 data_time: 0.0445 memory: 1833 loss: 1.5155 loss_prob: 0.8613 loss_thr: 0.5098 loss_db: 0.1445 2022/12/19 20:52:14 - mmengine - INFO - Epoch(train) [126][15/79] lr: 6.3396e-03 eta: 5:29:37 time: 0.2151 data_time: 0.0008 memory: 1833 loss: 1.4844 loss_prob: 0.8434 loss_thr: 0.4970 loss_db: 0.1441 2022/12/19 20:52:15 - mmengine - INFO - Epoch(train) [126][20/79] lr: 6.3396e-03 eta: 5:29:35 time: 0.2122 data_time: 0.0008 memory: 1833 loss: 1.4445 loss_prob: 0.8212 loss_thr: 0.4801 loss_db: 0.1432 2022/12/19 20:52:16 - mmengine - INFO - Epoch(train) [126][25/79] lr: 6.3396e-03 eta: 5:29:32 time: 0.2091 data_time: 0.0007 memory: 1833 loss: 1.5273 loss_prob: 0.8734 loss_thr: 0.5042 loss_db: 0.1497 2022/12/19 20:52:17 - mmengine - INFO - Epoch(train) [126][30/79] lr: 6.3396e-03 eta: 5:29:30 time: 0.1990 data_time: 0.0007 memory: 1833 loss: 1.5295 loss_prob: 0.8727 loss_thr: 0.5052 loss_db: 0.1516 2022/12/19 20:52:18 - mmengine - INFO - Epoch(train) [126][35/79] lr: 6.3396e-03 eta: 5:29:28 time: 0.2108 data_time: 0.0007 memory: 1833 loss: 1.5743 loss_prob: 0.9046 loss_thr: 0.5118 loss_db: 0.1578 2022/12/19 20:52:19 - mmengine - INFO - Epoch(train) [126][40/79] lr: 6.3396e-03 eta: 5:29:26 time: 0.2155 data_time: 0.0007 memory: 1833 loss: 1.5891 loss_prob: 0.9085 loss_thr: 0.5246 loss_db: 0.1560 2022/12/19 20:52:20 - mmengine - INFO - Epoch(train) [126][45/79] lr: 6.3396e-03 eta: 5:29:24 time: 0.2077 data_time: 0.0007 memory: 1833 loss: 1.8137 loss_prob: 1.0715 loss_thr: 0.5587 loss_db: 0.1835 2022/12/19 20:52:21 - mmengine - INFO - Epoch(train) [126][50/79] lr: 6.3396e-03 eta: 5:29:21 time: 0.2064 data_time: 0.0007 memory: 1833 loss: 1.7949 loss_prob: 1.0699 loss_thr: 0.5451 loss_db: 0.1799 2022/12/19 20:52:22 - mmengine - INFO - Epoch(train) [126][55/79] lr: 6.3396e-03 eta: 5:29:19 time: 0.2089 data_time: 0.0006 memory: 1833 loss: 1.5612 loss_prob: 0.9023 loss_thr: 0.5065 loss_db: 0.1524 2022/12/19 20:52:23 - mmengine - INFO - Epoch(train) [126][60/79] lr: 6.3396e-03 eta: 5:29:18 time: 0.2276 data_time: 0.0008 memory: 1833 loss: 1.5225 loss_prob: 0.8735 loss_thr: 0.4990 loss_db: 0.1500 2022/12/19 20:52:24 - mmengine - INFO - Epoch(train) [126][65/79] lr: 6.3396e-03 eta: 5:29:17 time: 0.2335 data_time: 0.0008 memory: 1833 loss: 1.6121 loss_prob: 0.9307 loss_thr: 0.5243 loss_db: 0.1571 2022/12/19 20:52:26 - mmengine - INFO - Epoch(train) [126][70/79] lr: 6.3396e-03 eta: 5:29:17 time: 0.2438 data_time: 0.0007 memory: 1833 loss: 1.5977 loss_prob: 0.9020 loss_thr: 0.5437 loss_db: 0.1521 2022/12/19 20:52:27 - mmengine - INFO - Epoch(train) [126][75/79] lr: 6.3396e-03 eta: 5:29:14 time: 0.2256 data_time: 0.0007 memory: 1833 loss: 1.5393 loss_prob: 0.8551 loss_thr: 0.5358 loss_db: 0.1483 2022/12/19 20:52:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:52:29 - mmengine - INFO - Epoch(train) [127][5/79] lr: 6.3343e-03 eta: 5:29:18 time: 0.3006 data_time: 0.0343 memory: 1833 loss: 1.6682 loss_prob: 0.9673 loss_thr: 0.5386 loss_db: 0.1623 2022/12/19 20:52:31 - mmengine - INFO - Epoch(train) [127][10/79] lr: 6.3343e-03 eta: 5:29:17 time: 0.3085 data_time: 0.0344 memory: 1833 loss: 1.7516 loss_prob: 1.0205 loss_thr: 0.5566 loss_db: 0.1745 2022/12/19 20:52:32 - mmengine - INFO - Epoch(train) [127][15/79] lr: 6.3343e-03 eta: 5:29:16 time: 0.2420 data_time: 0.0007 memory: 1833 loss: 1.6399 loss_prob: 0.9408 loss_thr: 0.5372 loss_db: 0.1619 2022/12/19 20:52:33 - mmengine - INFO - Epoch(train) [127][20/79] lr: 6.3343e-03 eta: 5:29:14 time: 0.2235 data_time: 0.0007 memory: 1833 loss: 1.4954 loss_prob: 0.8541 loss_thr: 0.4937 loss_db: 0.1476 2022/12/19 20:52:34 - mmengine - INFO - Epoch(train) [127][25/79] lr: 6.3343e-03 eta: 5:29:12 time: 0.2058 data_time: 0.0007 memory: 1833 loss: 1.5235 loss_prob: 0.8752 loss_thr: 0.4958 loss_db: 0.1524 2022/12/19 20:52:35 - mmengine - INFO - Epoch(train) [127][30/79] lr: 6.3343e-03 eta: 5:29:11 time: 0.2184 data_time: 0.0008 memory: 1833 loss: 1.5433 loss_prob: 0.8761 loss_thr: 0.5178 loss_db: 0.1495 2022/12/19 20:52:36 - mmengine - INFO - Epoch(train) [127][35/79] lr: 6.3343e-03 eta: 5:29:09 time: 0.2294 data_time: 0.0008 memory: 1833 loss: 1.4931 loss_prob: 0.8425 loss_thr: 0.5060 loss_db: 0.1446 2022/12/19 20:52:37 - mmengine - INFO - Epoch(train) [127][40/79] lr: 6.3343e-03 eta: 5:29:06 time: 0.2095 data_time: 0.0007 memory: 1833 loss: 1.4892 loss_prob: 0.8673 loss_thr: 0.4741 loss_db: 0.1478 2022/12/19 20:52:39 - mmengine - INFO - Epoch(train) [127][45/79] lr: 6.3343e-03 eta: 5:29:07 time: 0.2373 data_time: 0.0008 memory: 1833 loss: 1.5346 loss_prob: 0.8904 loss_thr: 0.4925 loss_db: 0.1517 2022/12/19 20:52:39 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:52:40 - mmengine - INFO - Epoch(train) [127][50/79] lr: 6.3343e-03 eta: 5:29:04 time: 0.2349 data_time: 0.0008 memory: 1833 loss: 1.5871 loss_prob: 0.9064 loss_thr: 0.5252 loss_db: 0.1555 2022/12/19 20:52:41 - mmengine - INFO - Epoch(train) [127][55/79] lr: 6.3343e-03 eta: 5:29:03 time: 0.2071 data_time: 0.0007 memory: 1833 loss: 1.5876 loss_prob: 0.9087 loss_thr: 0.5252 loss_db: 0.1537 2022/12/19 20:52:42 - mmengine - INFO - Epoch(train) [127][60/79] lr: 6.3343e-03 eta: 5:29:01 time: 0.2254 data_time: 0.0006 memory: 1833 loss: 1.6309 loss_prob: 0.9327 loss_thr: 0.5394 loss_db: 0.1589 2022/12/19 20:52:43 - mmengine - INFO - Epoch(train) [127][65/79] lr: 6.3343e-03 eta: 5:28:59 time: 0.2136 data_time: 0.0007 memory: 1833 loss: 1.6552 loss_prob: 0.9478 loss_thr: 0.5418 loss_db: 0.1656 2022/12/19 20:52:44 - mmengine - INFO - Epoch(train) [127][70/79] lr: 6.3343e-03 eta: 5:28:58 time: 0.2182 data_time: 0.0007 memory: 1833 loss: 1.4600 loss_prob: 0.8389 loss_thr: 0.4762 loss_db: 0.1448 2022/12/19 20:52:45 - mmengine - INFO - Epoch(train) [127][75/79] lr: 6.3343e-03 eta: 5:28:55 time: 0.2159 data_time: 0.0007 memory: 1833 loss: 1.4665 loss_prob: 0.8519 loss_thr: 0.4726 loss_db: 0.1421 2022/12/19 20:52:46 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:52:48 - mmengine - INFO - Epoch(train) [128][5/79] lr: 6.3290e-03 eta: 5:29:02 time: 0.3368 data_time: 0.1076 memory: 1833 loss: 1.4219 loss_prob: 0.8031 loss_thr: 0.4791 loss_db: 0.1396 2022/12/19 20:52:49 - mmengine - INFO - Epoch(train) [128][10/79] lr: 6.3290e-03 eta: 5:28:59 time: 0.3225 data_time: 0.1076 memory: 1833 loss: 1.3821 loss_prob: 0.7689 loss_thr: 0.4816 loss_db: 0.1315 2022/12/19 20:52:50 - mmengine - INFO - Epoch(train) [128][15/79] lr: 6.3290e-03 eta: 5:28:58 time: 0.2128 data_time: 0.0007 memory: 1833 loss: 1.4589 loss_prob: 0.8182 loss_thr: 0.5068 loss_db: 0.1339 2022/12/19 20:52:51 - mmengine - INFO - Epoch(train) [128][20/79] lr: 6.3290e-03 eta: 5:28:57 time: 0.2329 data_time: 0.0007 memory: 1833 loss: 1.5959 loss_prob: 0.9175 loss_thr: 0.5265 loss_db: 0.1519 2022/12/19 20:52:52 - mmengine - INFO - Epoch(train) [128][25/79] lr: 6.3290e-03 eta: 5:28:54 time: 0.2203 data_time: 0.0007 memory: 1833 loss: 1.5616 loss_prob: 0.8832 loss_thr: 0.5270 loss_db: 0.1514 2022/12/19 20:52:54 - mmengine - INFO - Epoch(train) [128][30/79] lr: 6.3290e-03 eta: 5:28:52 time: 0.2106 data_time: 0.0007 memory: 1833 loss: 1.4581 loss_prob: 0.8205 loss_thr: 0.4949 loss_db: 0.1427 2022/12/19 20:52:55 - mmengine - INFO - Epoch(train) [128][35/79] lr: 6.3290e-03 eta: 5:28:54 time: 0.2608 data_time: 0.0014 memory: 1833 loss: 1.5535 loss_prob: 0.8836 loss_thr: 0.5245 loss_db: 0.1453 2022/12/19 20:52:56 - mmengine - INFO - Epoch(train) [128][40/79] lr: 6.3290e-03 eta: 5:28:54 time: 0.2803 data_time: 0.0015 memory: 1833 loss: 1.6516 loss_prob: 0.9382 loss_thr: 0.5588 loss_db: 0.1547 2022/12/19 20:52:57 - mmengine - INFO - Epoch(train) [128][45/79] lr: 6.3290e-03 eta: 5:28:52 time: 0.2324 data_time: 0.0009 memory: 1833 loss: 1.5151 loss_prob: 0.8553 loss_thr: 0.5103 loss_db: 0.1495 2022/12/19 20:52:59 - mmengine - INFO - Epoch(train) [128][50/79] lr: 6.3290e-03 eta: 5:28:51 time: 0.2273 data_time: 0.0008 memory: 1833 loss: 1.4539 loss_prob: 0.8238 loss_thr: 0.4879 loss_db: 0.1422 2022/12/19 20:53:00 - mmengine - INFO - Epoch(train) [128][55/79] lr: 6.3290e-03 eta: 5:28:49 time: 0.2325 data_time: 0.0007 memory: 1833 loss: 1.5710 loss_prob: 0.9043 loss_thr: 0.5089 loss_db: 0.1579 2022/12/19 20:53:01 - mmengine - INFO - Epoch(train) [128][60/79] lr: 6.3290e-03 eta: 5:28:48 time: 0.2195 data_time: 0.0007 memory: 1833 loss: 1.6312 loss_prob: 0.9390 loss_thr: 0.5304 loss_db: 0.1619 2022/12/19 20:53:02 - mmengine - INFO - Epoch(train) [128][65/79] lr: 6.3290e-03 eta: 5:28:46 time: 0.2171 data_time: 0.0007 memory: 1833 loss: 1.5413 loss_prob: 0.8702 loss_thr: 0.5259 loss_db: 0.1452 2022/12/19 20:53:03 - mmengine - INFO - Epoch(train) [128][70/79] lr: 6.3290e-03 eta: 5:28:44 time: 0.2147 data_time: 0.0007 memory: 1833 loss: 1.5126 loss_prob: 0.8579 loss_thr: 0.5120 loss_db: 0.1426 2022/12/19 20:53:04 - mmengine - INFO - Epoch(train) [128][75/79] lr: 6.3290e-03 eta: 5:28:41 time: 0.2092 data_time: 0.0007 memory: 1833 loss: 1.6857 loss_prob: 0.9793 loss_thr: 0.5415 loss_db: 0.1650 2022/12/19 20:53:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:53:07 - mmengine - INFO - Epoch(train) [129][5/79] lr: 6.3237e-03 eta: 5:28:45 time: 0.3004 data_time: 0.0606 memory: 1833 loss: 1.5782 loss_prob: 0.8902 loss_thr: 0.5376 loss_db: 0.1504 2022/12/19 20:53:08 - mmengine - INFO - Epoch(train) [129][10/79] lr: 6.3237e-03 eta: 5:28:44 time: 0.3177 data_time: 0.0607 memory: 1833 loss: 1.4482 loss_prob: 0.7986 loss_thr: 0.5127 loss_db: 0.1369 2022/12/19 20:53:09 - mmengine - INFO - Epoch(train) [129][15/79] lr: 6.3237e-03 eta: 5:28:41 time: 0.2176 data_time: 0.0007 memory: 1833 loss: 1.5586 loss_prob: 0.8924 loss_thr: 0.5132 loss_db: 0.1530 2022/12/19 20:53:10 - mmengine - INFO - Epoch(train) [129][20/79] lr: 6.3237e-03 eta: 5:28:43 time: 0.2564 data_time: 0.0008 memory: 1833 loss: 1.5227 loss_prob: 0.8735 loss_thr: 0.5012 loss_db: 0.1481 2022/12/19 20:53:12 - mmengine - INFO - Epoch(train) [129][25/79] lr: 6.3237e-03 eta: 5:28:42 time: 0.2675 data_time: 0.0008 memory: 1833 loss: 1.4309 loss_prob: 0.8064 loss_thr: 0.4874 loss_db: 0.1371 2022/12/19 20:53:13 - mmengine - INFO - Epoch(train) [129][30/79] lr: 6.3237e-03 eta: 5:28:40 time: 0.2195 data_time: 0.0008 memory: 1833 loss: 1.4178 loss_prob: 0.7844 loss_thr: 0.4982 loss_db: 0.1352 2022/12/19 20:53:14 - mmengine - INFO - Epoch(train) [129][35/79] lr: 6.3237e-03 eta: 5:28:39 time: 0.2230 data_time: 0.0008 memory: 1833 loss: 1.5507 loss_prob: 0.8863 loss_thr: 0.5101 loss_db: 0.1543 2022/12/19 20:53:15 - mmengine - INFO - Epoch(train) [129][40/79] lr: 6.3237e-03 eta: 5:28:36 time: 0.2135 data_time: 0.0008 memory: 1833 loss: 1.6391 loss_prob: 0.9387 loss_thr: 0.5393 loss_db: 0.1611 2022/12/19 20:53:16 - mmengine - INFO - Epoch(train) [129][45/79] lr: 6.3237e-03 eta: 5:28:34 time: 0.2071 data_time: 0.0008 memory: 1833 loss: 1.6832 loss_prob: 0.9732 loss_thr: 0.5522 loss_db: 0.1578 2022/12/19 20:53:17 - mmengine - INFO - Epoch(train) [129][50/79] lr: 6.3237e-03 eta: 5:28:33 time: 0.2197 data_time: 0.0007 memory: 1833 loss: 1.6350 loss_prob: 0.9641 loss_thr: 0.5133 loss_db: 0.1577 2022/12/19 20:53:18 - mmengine - INFO - Epoch(train) [129][55/79] lr: 6.3237e-03 eta: 5:28:30 time: 0.2127 data_time: 0.0007 memory: 1833 loss: 1.5540 loss_prob: 0.9033 loss_thr: 0.4958 loss_db: 0.1549 2022/12/19 20:53:19 - mmengine - INFO - Epoch(train) [129][60/79] lr: 6.3237e-03 eta: 5:28:27 time: 0.1964 data_time: 0.0007 memory: 1833 loss: 1.5877 loss_prob: 0.9274 loss_thr: 0.5006 loss_db: 0.1597 2022/12/19 20:53:20 - mmengine - INFO - Epoch(train) [129][65/79] lr: 6.3237e-03 eta: 5:28:24 time: 0.1904 data_time: 0.0007 memory: 1833 loss: 1.6684 loss_prob: 0.9895 loss_thr: 0.5127 loss_db: 0.1662 2022/12/19 20:53:21 - mmengine - INFO - Epoch(train) [129][70/79] lr: 6.3237e-03 eta: 5:28:22 time: 0.1982 data_time: 0.0006 memory: 1833 loss: 1.5695 loss_prob: 0.9137 loss_thr: 0.5015 loss_db: 0.1543 2022/12/19 20:53:22 - mmengine - INFO - Epoch(train) [129][75/79] lr: 6.3237e-03 eta: 5:28:19 time: 0.1934 data_time: 0.0006 memory: 1833 loss: 1.4726 loss_prob: 0.8321 loss_thr: 0.4951 loss_db: 0.1454 2022/12/19 20:53:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:53:24 - mmengine - INFO - Epoch(train) [130][5/79] lr: 6.3184e-03 eta: 5:28:20 time: 0.2682 data_time: 0.0299 memory: 1833 loss: 1.5672 loss_prob: 0.9131 loss_thr: 0.4937 loss_db: 0.1604 2022/12/19 20:53:26 - mmengine - INFO - Epoch(train) [130][10/79] lr: 6.3184e-03 eta: 5:28:21 time: 0.3190 data_time: 0.0301 memory: 1833 loss: 1.5963 loss_prob: 0.9339 loss_thr: 0.5019 loss_db: 0.1605 2022/12/19 20:53:27 - mmengine - INFO - Epoch(train) [130][15/79] lr: 6.3184e-03 eta: 5:28:20 time: 0.2532 data_time: 0.0010 memory: 1833 loss: 1.5586 loss_prob: 0.8908 loss_thr: 0.5137 loss_db: 0.1541 2022/12/19 20:53:28 - mmengine - INFO - Epoch(train) [130][20/79] lr: 6.3184e-03 eta: 5:28:19 time: 0.2412 data_time: 0.0009 memory: 1833 loss: 1.6304 loss_prob: 0.9399 loss_thr: 0.5266 loss_db: 0.1639 2022/12/19 20:53:29 - mmengine - INFO - Epoch(train) [130][25/79] lr: 6.3184e-03 eta: 5:28:19 time: 0.2522 data_time: 0.0008 memory: 1833 loss: 1.7010 loss_prob: 0.9848 loss_thr: 0.5472 loss_db: 0.1691 2022/12/19 20:53:31 - mmengine - INFO - Epoch(train) [130][30/79] lr: 6.3184e-03 eta: 5:28:18 time: 0.2485 data_time: 0.0008 memory: 1833 loss: 1.6797 loss_prob: 0.9684 loss_thr: 0.5426 loss_db: 0.1686 2022/12/19 20:53:32 - mmengine - INFO - Epoch(train) [130][35/79] lr: 6.3184e-03 eta: 5:28:16 time: 0.2252 data_time: 0.0007 memory: 1833 loss: 1.7331 loss_prob: 1.0177 loss_thr: 0.5418 loss_db: 0.1735 2022/12/19 20:53:33 - mmengine - INFO - Epoch(train) [130][40/79] lr: 6.3184e-03 eta: 5:28:15 time: 0.2241 data_time: 0.0007 memory: 1833 loss: 1.6588 loss_prob: 0.9841 loss_thr: 0.5094 loss_db: 0.1654 2022/12/19 20:53:34 - mmengine - INFO - Epoch(train) [130][45/79] lr: 6.3184e-03 eta: 5:28:13 time: 0.2218 data_time: 0.0008 memory: 1833 loss: 1.5690 loss_prob: 0.9096 loss_thr: 0.5015 loss_db: 0.1579 2022/12/19 20:53:35 - mmengine - INFO - Epoch(train) [130][50/79] lr: 6.3184e-03 eta: 5:28:10 time: 0.2014 data_time: 0.0007 memory: 1833 loss: 1.5410 loss_prob: 0.8774 loss_thr: 0.5117 loss_db: 0.1519 2022/12/19 20:53:36 - mmengine - INFO - Epoch(train) [130][55/79] lr: 6.3184e-03 eta: 5:28:07 time: 0.1865 data_time: 0.0006 memory: 1833 loss: 1.5653 loss_prob: 0.9082 loss_thr: 0.5050 loss_db: 0.1521 2022/12/19 20:53:37 - mmengine - INFO - Epoch(train) [130][60/79] lr: 6.3184e-03 eta: 5:28:05 time: 0.2006 data_time: 0.0006 memory: 1833 loss: 1.5117 loss_prob: 0.8770 loss_thr: 0.4879 loss_db: 0.1468 2022/12/19 20:53:38 - mmengine - INFO - Epoch(train) [130][65/79] lr: 6.3184e-03 eta: 5:28:03 time: 0.2137 data_time: 0.0006 memory: 1833 loss: 1.7667 loss_prob: 1.0670 loss_thr: 0.5281 loss_db: 0.1716 2022/12/19 20:53:39 - mmengine - INFO - Epoch(train) [130][70/79] lr: 6.3184e-03 eta: 5:28:01 time: 0.2158 data_time: 0.0006 memory: 1833 loss: 1.8510 loss_prob: 1.1380 loss_thr: 0.5339 loss_db: 0.1791 2022/12/19 20:53:40 - mmengine - INFO - Epoch(train) [130][75/79] lr: 6.3184e-03 eta: 5:27:59 time: 0.2140 data_time: 0.0006 memory: 1833 loss: 1.5929 loss_prob: 0.9351 loss_thr: 0.5002 loss_db: 0.1577 2022/12/19 20:53:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:53:44 - mmengine - INFO - Epoch(train) [131][5/79] lr: 6.3131e-03 eta: 5:28:08 time: 0.3617 data_time: 0.1672 memory: 1833 loss: 1.5070 loss_prob: 0.8518 loss_thr: 0.5108 loss_db: 0.1445 2022/12/19 20:53:45 - mmengine - INFO - Epoch(train) [131][10/79] lr: 6.3131e-03 eta: 5:28:06 time: 0.3647 data_time: 0.1672 memory: 1833 loss: 1.5244 loss_prob: 0.8568 loss_thr: 0.5209 loss_db: 0.1467 2022/12/19 20:53:46 - mmengine - INFO - Epoch(train) [131][15/79] lr: 6.3131e-03 eta: 5:28:06 time: 0.2378 data_time: 0.0007 memory: 1833 loss: 1.5954 loss_prob: 0.9025 loss_thr: 0.5358 loss_db: 0.1572 2022/12/19 20:53:47 - mmengine - INFO - Epoch(train) [131][20/79] lr: 6.3131e-03 eta: 5:28:04 time: 0.2361 data_time: 0.0007 memory: 1833 loss: 1.5032 loss_prob: 0.8438 loss_thr: 0.5133 loss_db: 0.1461 2022/12/19 20:53:48 - mmengine - INFO - Epoch(train) [131][25/79] lr: 6.3131e-03 eta: 5:28:02 time: 0.2121 data_time: 0.0007 memory: 1833 loss: 1.3441 loss_prob: 0.7455 loss_thr: 0.4681 loss_db: 0.1306 2022/12/19 20:53:49 - mmengine - INFO - Epoch(train) [131][30/79] lr: 6.3131e-03 eta: 5:28:00 time: 0.2209 data_time: 0.0007 memory: 1833 loss: 1.3607 loss_prob: 0.7620 loss_thr: 0.4635 loss_db: 0.1352 2022/12/19 20:53:50 - mmengine - INFO - Epoch(train) [131][35/79] lr: 6.3131e-03 eta: 5:27:58 time: 0.2177 data_time: 0.0007 memory: 1833 loss: 1.5645 loss_prob: 0.8832 loss_thr: 0.5280 loss_db: 0.1534 2022/12/19 20:53:51 - mmengine - INFO - Epoch(train) [131][40/79] lr: 6.3131e-03 eta: 5:27:57 time: 0.2233 data_time: 0.0007 memory: 1833 loss: 1.5796 loss_prob: 0.8894 loss_thr: 0.5347 loss_db: 0.1556 2022/12/19 20:53:52 - mmengine - INFO - Epoch(train) [131][45/79] lr: 6.3131e-03 eta: 5:27:56 time: 0.2274 data_time: 0.0007 memory: 1833 loss: 1.6387 loss_prob: 0.9547 loss_thr: 0.5240 loss_db: 0.1600 2022/12/19 20:53:54 - mmengine - INFO - Epoch(train) [131][50/79] lr: 6.3131e-03 eta: 5:27:56 time: 0.2451 data_time: 0.0007 memory: 1833 loss: 1.6471 loss_prob: 0.9667 loss_thr: 0.5179 loss_db: 0.1625 2022/12/19 20:53:55 - mmengine - INFO - Epoch(train) [131][55/79] lr: 6.3131e-03 eta: 5:27:54 time: 0.2361 data_time: 0.0006 memory: 1833 loss: 1.6872 loss_prob: 0.9679 loss_thr: 0.5501 loss_db: 0.1692 2022/12/19 20:53:56 - mmengine - INFO - Epoch(train) [131][60/79] lr: 6.3131e-03 eta: 5:27:52 time: 0.2143 data_time: 0.0006 memory: 1833 loss: 1.6957 loss_prob: 0.9698 loss_thr: 0.5592 loss_db: 0.1667 2022/12/19 20:53:57 - mmengine - INFO - Epoch(train) [131][65/79] lr: 6.3131e-03 eta: 5:27:50 time: 0.2125 data_time: 0.0007 memory: 1833 loss: 1.4891 loss_prob: 0.8383 loss_thr: 0.5057 loss_db: 0.1451 2022/12/19 20:53:58 - mmengine - INFO - Epoch(train) [131][70/79] lr: 6.3131e-03 eta: 5:27:49 time: 0.2268 data_time: 0.0007 memory: 1833 loss: 1.4378 loss_prob: 0.7971 loss_thr: 0.5023 loss_db: 0.1385 2022/12/19 20:53:59 - mmengine - INFO - Epoch(train) [131][75/79] lr: 6.3131e-03 eta: 5:27:48 time: 0.2416 data_time: 0.0009 memory: 1833 loss: 1.4888 loss_prob: 0.8402 loss_thr: 0.5015 loss_db: 0.1471 2022/12/19 20:54:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:54:02 - mmengine - INFO - Epoch(train) [132][5/79] lr: 6.3078e-03 eta: 5:27:51 time: 0.2984 data_time: 0.0730 memory: 1833 loss: 1.4957 loss_prob: 0.8395 loss_thr: 0.5108 loss_db: 0.1455 2022/12/19 20:54:03 - mmengine - INFO - Epoch(train) [132][10/79] lr: 6.3078e-03 eta: 5:27:51 time: 0.3262 data_time: 0.0730 memory: 1833 loss: 1.5420 loss_prob: 0.8807 loss_thr: 0.5065 loss_db: 0.1547 2022/12/19 20:54:05 - mmengine - INFO - Epoch(train) [132][15/79] lr: 6.3078e-03 eta: 5:27:51 time: 0.2564 data_time: 0.0008 memory: 1833 loss: 1.6166 loss_prob: 0.9296 loss_thr: 0.5236 loss_db: 0.1634 2022/12/19 20:54:06 - mmengine - INFO - Epoch(train) [132][20/79] lr: 6.3078e-03 eta: 5:27:51 time: 0.2564 data_time: 0.0008 memory: 1833 loss: 1.7011 loss_prob: 0.9836 loss_thr: 0.5468 loss_db: 0.1707 2022/12/19 20:54:07 - mmengine - INFO - Epoch(train) [132][25/79] lr: 6.3078e-03 eta: 5:27:48 time: 0.2341 data_time: 0.0008 memory: 1833 loss: 1.5857 loss_prob: 0.9042 loss_thr: 0.5252 loss_db: 0.1563 2022/12/19 20:54:08 - mmengine - INFO - Epoch(train) [132][30/79] lr: 6.3078e-03 eta: 5:27:46 time: 0.2067 data_time: 0.0008 memory: 1833 loss: 1.4708 loss_prob: 0.8210 loss_thr: 0.5096 loss_db: 0.1402 2022/12/19 20:54:09 - mmengine - INFO - Epoch(train) [132][35/79] lr: 6.3078e-03 eta: 5:27:45 time: 0.2160 data_time: 0.0007 memory: 1833 loss: 1.5958 loss_prob: 0.9170 loss_thr: 0.5231 loss_db: 0.1557 2022/12/19 20:54:10 - mmengine - INFO - Epoch(train) [132][40/79] lr: 6.3078e-03 eta: 5:27:43 time: 0.2205 data_time: 0.0007 memory: 1833 loss: 1.5341 loss_prob: 0.8708 loss_thr: 0.5132 loss_db: 0.1501 2022/12/19 20:54:11 - mmengine - INFO - Epoch(train) [132][45/79] lr: 6.3078e-03 eta: 5:27:41 time: 0.2204 data_time: 0.0007 memory: 1833 loss: 1.4774 loss_prob: 0.8136 loss_thr: 0.5211 loss_db: 0.1426 2022/12/19 20:54:12 - mmengine - INFO - Epoch(train) [132][50/79] lr: 6.3078e-03 eta: 5:27:38 time: 0.2063 data_time: 0.0008 memory: 1833 loss: 1.6229 loss_prob: 0.9237 loss_thr: 0.5405 loss_db: 0.1588 2022/12/19 20:54:13 - mmengine - INFO - Epoch(train) [132][55/79] lr: 6.3078e-03 eta: 5:27:36 time: 0.1993 data_time: 0.0007 memory: 1833 loss: 1.7106 loss_prob: 1.0005 loss_thr: 0.5430 loss_db: 0.1671 2022/12/19 20:54:15 - mmengine - INFO - Epoch(train) [132][60/79] lr: 6.3078e-03 eta: 5:27:37 time: 0.2405 data_time: 0.0008 memory: 1833 loss: 1.5660 loss_prob: 0.9084 loss_thr: 0.5041 loss_db: 0.1535 2022/12/19 20:54:16 - mmengine - INFO - Epoch(train) [132][65/79] lr: 6.3078e-03 eta: 5:27:37 time: 0.2707 data_time: 0.0008 memory: 1833 loss: 1.4321 loss_prob: 0.8204 loss_thr: 0.4692 loss_db: 0.1425 2022/12/19 20:54:17 - mmengine - INFO - Epoch(train) [132][70/79] lr: 6.3078e-03 eta: 5:27:35 time: 0.2353 data_time: 0.0007 memory: 1833 loss: 1.5076 loss_prob: 0.8662 loss_thr: 0.4922 loss_db: 0.1492 2022/12/19 20:54:18 - mmengine - INFO - Epoch(train) [132][75/79] lr: 6.3078e-03 eta: 5:27:32 time: 0.1982 data_time: 0.0006 memory: 1833 loss: 1.4926 loss_prob: 0.8507 loss_thr: 0.4977 loss_db: 0.1441 2022/12/19 20:54:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:54:21 - mmengine - INFO - Epoch(train) [133][5/79] lr: 6.3025e-03 eta: 5:27:33 time: 0.2768 data_time: 0.0219 memory: 1833 loss: 1.4970 loss_prob: 0.8549 loss_thr: 0.4947 loss_db: 0.1473 2022/12/19 20:54:22 - mmengine - INFO - Epoch(train) [133][10/79] lr: 6.3025e-03 eta: 5:27:32 time: 0.2898 data_time: 0.0219 memory: 1833 loss: 1.5265 loss_prob: 0.8656 loss_thr: 0.5116 loss_db: 0.1493 2022/12/19 20:54:23 - mmengine - INFO - Epoch(train) [133][15/79] lr: 6.3025e-03 eta: 5:27:29 time: 0.2121 data_time: 0.0007 memory: 1833 loss: 1.4874 loss_prob: 0.8389 loss_thr: 0.5035 loss_db: 0.1450 2022/12/19 20:54:24 - mmengine - INFO - Epoch(train) [133][20/79] lr: 6.3025e-03 eta: 5:27:28 time: 0.2151 data_time: 0.0008 memory: 1833 loss: 1.5477 loss_prob: 0.8761 loss_thr: 0.5241 loss_db: 0.1475 2022/12/19 20:54:25 - mmengine - INFO - Epoch(train) [133][25/79] lr: 6.3025e-03 eta: 5:27:25 time: 0.2123 data_time: 0.0008 memory: 1833 loss: 1.5145 loss_prob: 0.8597 loss_thr: 0.5079 loss_db: 0.1469 2022/12/19 20:54:26 - mmengine - INFO - Epoch(train) [133][30/79] lr: 6.3025e-03 eta: 5:27:23 time: 0.1988 data_time: 0.0007 memory: 1833 loss: 1.5492 loss_prob: 0.8923 loss_thr: 0.5006 loss_db: 0.1564 2022/12/19 20:54:27 - mmengine - INFO - Epoch(train) [133][35/79] lr: 6.3025e-03 eta: 5:27:21 time: 0.2082 data_time: 0.0007 memory: 1833 loss: 1.5201 loss_prob: 0.8767 loss_thr: 0.4939 loss_db: 0.1494 2022/12/19 20:54:28 - mmengine - INFO - Epoch(train) [133][40/79] lr: 6.3025e-03 eta: 5:27:19 time: 0.2103 data_time: 0.0007 memory: 1833 loss: 1.4202 loss_prob: 0.7962 loss_thr: 0.4850 loss_db: 0.1390 2022/12/19 20:54:29 - mmengine - INFO - Epoch(train) [133][45/79] lr: 6.3025e-03 eta: 5:27:16 time: 0.2033 data_time: 0.0007 memory: 1833 loss: 1.5739 loss_prob: 0.8775 loss_thr: 0.5441 loss_db: 0.1524 2022/12/19 20:54:30 - mmengine - INFO - Epoch(train) [133][50/79] lr: 6.3025e-03 eta: 5:27:17 time: 0.2340 data_time: 0.0008 memory: 1833 loss: 1.5212 loss_prob: 0.8468 loss_thr: 0.5299 loss_db: 0.1444 2022/12/19 20:54:31 - mmengine - INFO - Epoch(train) [133][55/79] lr: 6.3025e-03 eta: 5:27:15 time: 0.2508 data_time: 0.0008 memory: 1833 loss: 1.4017 loss_prob: 0.7860 loss_thr: 0.4747 loss_db: 0.1411 2022/12/19 20:54:33 - mmengine - INFO - Epoch(train) [133][60/79] lr: 6.3025e-03 eta: 5:27:14 time: 0.2236 data_time: 0.0007 memory: 1833 loss: 1.4695 loss_prob: 0.8313 loss_thr: 0.4940 loss_db: 0.1441 2022/12/19 20:54:34 - mmengine - INFO - Epoch(train) [133][65/79] lr: 6.3025e-03 eta: 5:27:12 time: 0.2161 data_time: 0.0007 memory: 1833 loss: 1.5285 loss_prob: 0.8662 loss_thr: 0.5175 loss_db: 0.1449 2022/12/19 20:54:35 - mmengine - INFO - Epoch(train) [133][70/79] lr: 6.3025e-03 eta: 5:27:09 time: 0.2055 data_time: 0.0007 memory: 1833 loss: 1.5140 loss_prob: 0.8664 loss_thr: 0.5014 loss_db: 0.1463 2022/12/19 20:54:36 - mmengine - INFO - Epoch(train) [133][75/79] lr: 6.3025e-03 eta: 5:27:07 time: 0.2049 data_time: 0.0007 memory: 1833 loss: 1.6303 loss_prob: 0.9541 loss_thr: 0.5145 loss_db: 0.1617 2022/12/19 20:54:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:54:38 - mmengine - INFO - Epoch(train) [134][5/79] lr: 6.2971e-03 eta: 5:27:10 time: 0.2936 data_time: 0.0913 memory: 1833 loss: 1.5327 loss_prob: 0.8721 loss_thr: 0.5130 loss_db: 0.1476 2022/12/19 20:54:40 - mmengine - INFO - Epoch(train) [134][10/79] lr: 6.2971e-03 eta: 5:27:09 time: 0.3267 data_time: 0.0913 memory: 1833 loss: 1.5627 loss_prob: 0.8876 loss_thr: 0.5241 loss_db: 0.1511 2022/12/19 20:54:41 - mmengine - INFO - Epoch(train) [134][15/79] lr: 6.2971e-03 eta: 5:27:07 time: 0.2276 data_time: 0.0008 memory: 1833 loss: 1.5046 loss_prob: 0.8579 loss_thr: 0.4962 loss_db: 0.1504 2022/12/19 20:54:42 - mmengine - INFO - Epoch(train) [134][20/79] lr: 6.2971e-03 eta: 5:27:07 time: 0.2310 data_time: 0.0008 memory: 1833 loss: 1.3591 loss_prob: 0.7690 loss_thr: 0.4563 loss_db: 0.1338 2022/12/19 20:54:43 - mmengine - INFO - Epoch(train) [134][25/79] lr: 6.2971e-03 eta: 5:27:04 time: 0.2247 data_time: 0.0008 memory: 1833 loss: 1.4763 loss_prob: 0.8369 loss_thr: 0.4946 loss_db: 0.1448 2022/12/19 20:54:44 - mmengine - INFO - Epoch(train) [134][30/79] lr: 6.2971e-03 eta: 5:27:03 time: 0.2162 data_time: 0.0007 memory: 1833 loss: 1.6055 loss_prob: 0.9233 loss_thr: 0.5214 loss_db: 0.1608 2022/12/19 20:54:45 - mmengine - INFO - Epoch(train) [134][35/79] lr: 6.2971e-03 eta: 5:27:01 time: 0.2172 data_time: 0.0007 memory: 1833 loss: 1.6833 loss_prob: 0.9800 loss_thr: 0.5358 loss_db: 0.1675 2022/12/19 20:54:46 - mmengine - INFO - Epoch(train) [134][40/79] lr: 6.2971e-03 eta: 5:27:01 time: 0.2354 data_time: 0.0009 memory: 1833 loss: 1.5900 loss_prob: 0.9134 loss_thr: 0.5215 loss_db: 0.1551 2022/12/19 20:54:47 - mmengine - INFO - Epoch(train) [134][45/79] lr: 6.2971e-03 eta: 5:26:58 time: 0.2317 data_time: 0.0010 memory: 1833 loss: 1.5845 loss_prob: 0.9065 loss_thr: 0.5212 loss_db: 0.1567 2022/12/19 20:54:49 - mmengine - INFO - Epoch(train) [134][50/79] lr: 6.2971e-03 eta: 5:26:57 time: 0.2097 data_time: 0.0008 memory: 1833 loss: 1.7239 loss_prob: 0.9931 loss_thr: 0.5587 loss_db: 0.1721 2022/12/19 20:54:50 - mmengine - INFO - Epoch(train) [134][55/79] lr: 6.2971e-03 eta: 5:26:56 time: 0.2323 data_time: 0.0009 memory: 1833 loss: 1.6495 loss_prob: 0.9471 loss_thr: 0.5428 loss_db: 0.1596 2022/12/19 20:54:51 - mmengine - INFO - Epoch(train) [134][60/79] lr: 6.2971e-03 eta: 5:26:54 time: 0.2246 data_time: 0.0008 memory: 1833 loss: 1.6217 loss_prob: 0.9244 loss_thr: 0.5396 loss_db: 0.1578 2022/12/19 20:54:52 - mmengine - INFO - Epoch(train) [134][65/79] lr: 6.2971e-03 eta: 5:26:52 time: 0.2107 data_time: 0.0007 memory: 1833 loss: 1.8322 loss_prob: 1.0736 loss_thr: 0.5780 loss_db: 0.1807 2022/12/19 20:54:53 - mmengine - INFO - Epoch(train) [134][70/79] lr: 6.2971e-03 eta: 5:26:49 time: 0.2049 data_time: 0.0007 memory: 1833 loss: 1.7888 loss_prob: 1.0565 loss_thr: 0.5547 loss_db: 0.1776 2022/12/19 20:54:54 - mmengine - INFO - Epoch(train) [134][75/79] lr: 6.2971e-03 eta: 5:26:47 time: 0.1960 data_time: 0.0007 memory: 1833 loss: 1.5781 loss_prob: 0.9105 loss_thr: 0.5111 loss_db: 0.1565 2022/12/19 20:54:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:54:57 - mmengine - INFO - Epoch(train) [135][5/79] lr: 6.2918e-03 eta: 5:26:51 time: 0.3113 data_time: 0.0830 memory: 1833 loss: 1.5042 loss_prob: 0.8600 loss_thr: 0.5010 loss_db: 0.1432 2022/12/19 20:54:58 - mmengine - INFO - Epoch(train) [135][10/79] lr: 6.2918e-03 eta: 5:26:48 time: 0.3021 data_time: 0.0829 memory: 1833 loss: 1.9213 loss_prob: 1.1872 loss_thr: 0.5442 loss_db: 0.1900 2022/12/19 20:54:59 - mmengine - INFO - Epoch(train) [135][15/79] lr: 6.2918e-03 eta: 5:26:47 time: 0.2168 data_time: 0.0007 memory: 1833 loss: 2.0752 loss_prob: 1.3002 loss_thr: 0.5715 loss_db: 0.2035 2022/12/19 20:55:00 - mmengine - INFO - Epoch(train) [135][20/79] lr: 6.2918e-03 eta: 5:26:45 time: 0.2221 data_time: 0.0007 memory: 1833 loss: 1.6278 loss_prob: 0.9499 loss_thr: 0.5219 loss_db: 0.1560 2022/12/19 20:55:01 - mmengine - INFO - Epoch(train) [135][25/79] lr: 6.2918e-03 eta: 5:26:43 time: 0.2149 data_time: 0.0007 memory: 1833 loss: 1.5754 loss_prob: 0.9169 loss_thr: 0.5028 loss_db: 0.1557 2022/12/19 20:55:02 - mmengine - INFO - Epoch(train) [135][30/79] lr: 6.2918e-03 eta: 5:26:42 time: 0.2186 data_time: 0.0009 memory: 1833 loss: 1.7259 loss_prob: 1.0094 loss_thr: 0.5445 loss_db: 0.1720 2022/12/19 20:55:03 - mmengine - INFO - Epoch(train) [135][35/79] lr: 6.2918e-03 eta: 5:26:40 time: 0.2230 data_time: 0.0010 memory: 1833 loss: 1.7198 loss_prob: 0.9999 loss_thr: 0.5488 loss_db: 0.1711 2022/12/19 20:55:04 - mmengine - INFO - Epoch(train) [135][40/79] lr: 6.2918e-03 eta: 5:26:39 time: 0.2204 data_time: 0.0009 memory: 1833 loss: 1.5145 loss_prob: 0.8679 loss_thr: 0.4973 loss_db: 0.1493 2022/12/19 20:55:05 - mmengine - INFO - Epoch(train) [135][45/79] lr: 6.2918e-03 eta: 5:26:36 time: 0.2110 data_time: 0.0008 memory: 1833 loss: 1.5212 loss_prob: 0.8628 loss_thr: 0.5080 loss_db: 0.1504 2022/12/19 20:55:06 - mmengine - INFO - Epoch(train) [135][50/79] lr: 6.2918e-03 eta: 5:26:34 time: 0.2106 data_time: 0.0007 memory: 1833 loss: 1.8483 loss_prob: 1.1444 loss_thr: 0.5312 loss_db: 0.1728 2022/12/19 20:55:07 - mmengine - INFO - Epoch(train) [135][55/79] lr: 6.2918e-03 eta: 5:26:32 time: 0.2171 data_time: 0.0007 memory: 1833 loss: 1.8702 loss_prob: 1.1596 loss_thr: 0.5384 loss_db: 0.1723 2022/12/19 20:55:09 - mmengine - INFO - Epoch(train) [135][60/79] lr: 6.2918e-03 eta: 5:26:30 time: 0.2122 data_time: 0.0006 memory: 1833 loss: 1.6195 loss_prob: 0.9328 loss_thr: 0.5292 loss_db: 0.1574 2022/12/19 20:55:10 - mmengine - INFO - Epoch(train) [135][65/79] lr: 6.2918e-03 eta: 5:26:30 time: 0.2285 data_time: 0.0007 memory: 1833 loss: 1.5627 loss_prob: 0.8860 loss_thr: 0.5267 loss_db: 0.1500 2022/12/19 20:55:11 - mmengine - INFO - Epoch(train) [135][70/79] lr: 6.2918e-03 eta: 5:26:30 time: 0.2541 data_time: 0.0007 memory: 1833 loss: 1.6021 loss_prob: 0.9170 loss_thr: 0.5270 loss_db: 0.1581 2022/12/19 20:55:12 - mmengine - INFO - Epoch(train) [135][75/79] lr: 6.2918e-03 eta: 5:26:28 time: 0.2410 data_time: 0.0007 memory: 1833 loss: 1.5464 loss_prob: 0.8864 loss_thr: 0.5059 loss_db: 0.1541 2022/12/19 20:55:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:55:15 - mmengine - INFO - Epoch(train) [136][5/79] lr: 6.2865e-03 eta: 5:26:29 time: 0.2670 data_time: 0.0357 memory: 1833 loss: 1.5117 loss_prob: 0.8449 loss_thr: 0.5230 loss_db: 0.1438 2022/12/19 20:55:16 - mmengine - INFO - Epoch(train) [136][10/79] lr: 6.2865e-03 eta: 5:26:26 time: 0.2751 data_time: 0.0358 memory: 1833 loss: 1.7417 loss_prob: 1.0056 loss_thr: 0.5664 loss_db: 0.1697 2022/12/19 20:55:17 - mmengine - INFO - Epoch(train) [136][15/79] lr: 6.2865e-03 eta: 5:26:24 time: 0.2090 data_time: 0.0007 memory: 1833 loss: 1.6083 loss_prob: 0.9240 loss_thr: 0.5252 loss_db: 0.1591 2022/12/19 20:55:18 - mmengine - INFO - Epoch(train) [136][20/79] lr: 6.2865e-03 eta: 5:26:25 time: 0.2407 data_time: 0.0008 memory: 1833 loss: 1.5771 loss_prob: 0.9081 loss_thr: 0.5124 loss_db: 0.1565 2022/12/19 20:55:19 - mmengine - INFO - Epoch(train) [136][25/79] lr: 6.2865e-03 eta: 5:26:25 time: 0.2739 data_time: 0.0010 memory: 1833 loss: 1.7523 loss_prob: 1.0407 loss_thr: 0.5382 loss_db: 0.1734 2022/12/19 20:55:20 - mmengine - INFO - Epoch(train) [136][30/79] lr: 6.2865e-03 eta: 5:26:23 time: 0.2346 data_time: 0.0010 memory: 1833 loss: 1.6501 loss_prob: 0.9613 loss_thr: 0.5251 loss_db: 0.1637 2022/12/19 20:55:22 - mmengine - INFO - Epoch(train) [136][35/79] lr: 6.2865e-03 eta: 5:26:22 time: 0.2271 data_time: 0.0008 memory: 1833 loss: 1.4832 loss_prob: 0.8341 loss_thr: 0.5020 loss_db: 0.1471 2022/12/19 20:55:23 - mmengine - INFO - Epoch(train) [136][40/79] lr: 6.2865e-03 eta: 5:26:21 time: 0.2382 data_time: 0.0008 memory: 1833 loss: 1.4777 loss_prob: 0.8467 loss_thr: 0.4821 loss_db: 0.1489 2022/12/19 20:55:24 - mmengine - INFO - Epoch(train) [136][45/79] lr: 6.2865e-03 eta: 5:26:19 time: 0.2162 data_time: 0.0008 memory: 1833 loss: 1.5094 loss_prob: 0.8697 loss_thr: 0.4870 loss_db: 0.1528 2022/12/19 20:55:25 - mmengine - INFO - Epoch(train) [136][50/79] lr: 6.2865e-03 eta: 5:26:16 time: 0.2067 data_time: 0.0007 memory: 1833 loss: 1.4181 loss_prob: 0.8004 loss_thr: 0.4777 loss_db: 0.1400 2022/12/19 20:55:26 - mmengine - INFO - Epoch(train) [136][55/79] lr: 6.2865e-03 eta: 5:26:15 time: 0.2134 data_time: 0.0007 memory: 1833 loss: 1.3335 loss_prob: 0.7409 loss_thr: 0.4648 loss_db: 0.1279 2022/12/19 20:55:27 - mmengine - INFO - Epoch(train) [136][60/79] lr: 6.2865e-03 eta: 5:26:13 time: 0.2154 data_time: 0.0006 memory: 1833 loss: 1.4487 loss_prob: 0.8183 loss_thr: 0.4876 loss_db: 0.1428 2022/12/19 20:55:28 - mmengine - INFO - Epoch(train) [136][65/79] lr: 6.2865e-03 eta: 5:26:10 time: 0.2040 data_time: 0.0006 memory: 1833 loss: 1.6346 loss_prob: 0.9465 loss_thr: 0.5276 loss_db: 0.1605 2022/12/19 20:55:29 - mmengine - INFO - Epoch(train) [136][70/79] lr: 6.2865e-03 eta: 5:26:09 time: 0.2177 data_time: 0.0006 memory: 1833 loss: 1.7233 loss_prob: 1.0222 loss_thr: 0.5385 loss_db: 0.1626 2022/12/19 20:55:30 - mmengine - INFO - Epoch(train) [136][75/79] lr: 6.2865e-03 eta: 5:26:07 time: 0.2134 data_time: 0.0006 memory: 1833 loss: 1.7473 loss_prob: 1.0429 loss_thr: 0.5339 loss_db: 0.1704 2022/12/19 20:55:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:55:33 - mmengine - INFO - Epoch(train) [137][5/79] lr: 6.2812e-03 eta: 5:26:07 time: 0.2653 data_time: 0.0273 memory: 1833 loss: 1.5961 loss_prob: 0.9189 loss_thr: 0.5168 loss_db: 0.1604 2022/12/19 20:55:34 - mmengine - INFO - Epoch(train) [137][10/79] lr: 6.2812e-03 eta: 5:26:05 time: 0.2683 data_time: 0.0274 memory: 1833 loss: 1.7061 loss_prob: 0.9959 loss_thr: 0.5393 loss_db: 0.1709 2022/12/19 20:55:35 - mmengine - INFO - Epoch(train) [137][15/79] lr: 6.2812e-03 eta: 5:26:03 time: 0.2118 data_time: 0.0007 memory: 1833 loss: 1.6854 loss_prob: 0.9730 loss_thr: 0.5454 loss_db: 0.1670 2022/12/19 20:55:36 - mmengine - INFO - Epoch(train) [137][20/79] lr: 6.2812e-03 eta: 5:26:01 time: 0.2032 data_time: 0.0007 memory: 1833 loss: 1.5348 loss_prob: 0.8678 loss_thr: 0.5162 loss_db: 0.1508 2022/12/19 20:55:37 - mmengine - INFO - Epoch(train) [137][25/79] lr: 6.2812e-03 eta: 5:25:59 time: 0.2079 data_time: 0.0007 memory: 1833 loss: 1.5204 loss_prob: 0.8610 loss_thr: 0.5111 loss_db: 0.1484 2022/12/19 20:55:38 - mmengine - INFO - Epoch(train) [137][30/79] lr: 6.2812e-03 eta: 5:25:57 time: 0.2154 data_time: 0.0007 memory: 1833 loss: 1.6159 loss_prob: 0.9290 loss_thr: 0.5252 loss_db: 0.1617 2022/12/19 20:55:39 - mmengine - INFO - Epoch(train) [137][35/79] lr: 6.2812e-03 eta: 5:25:55 time: 0.2145 data_time: 0.0008 memory: 1833 loss: 1.6401 loss_prob: 0.9460 loss_thr: 0.5313 loss_db: 0.1628 2022/12/19 20:55:40 - mmengine - INFO - Epoch(train) [137][40/79] lr: 6.2812e-03 eta: 5:25:54 time: 0.2232 data_time: 0.0008 memory: 1833 loss: 1.4733 loss_prob: 0.8366 loss_thr: 0.4937 loss_db: 0.1430 2022/12/19 20:55:41 - mmengine - INFO - Epoch(train) [137][45/79] lr: 6.2812e-03 eta: 5:25:52 time: 0.2140 data_time: 0.0008 memory: 1833 loss: 1.5492 loss_prob: 0.8835 loss_thr: 0.5151 loss_db: 0.1506 2022/12/19 20:55:42 - mmengine - INFO - Epoch(train) [137][50/79] lr: 6.2812e-03 eta: 5:25:50 time: 0.2063 data_time: 0.0007 memory: 1833 loss: 1.5538 loss_prob: 0.8805 loss_thr: 0.5228 loss_db: 0.1505 2022/12/19 20:55:43 - mmengine - INFO - Epoch(train) [137][55/79] lr: 6.2812e-03 eta: 5:25:47 time: 0.2010 data_time: 0.0007 memory: 1833 loss: 1.5305 loss_prob: 0.8692 loss_thr: 0.5118 loss_db: 0.1495 2022/12/19 20:55:44 - mmengine - INFO - Epoch(train) [137][60/79] lr: 6.2812e-03 eta: 5:25:45 time: 0.2073 data_time: 0.0006 memory: 1833 loss: 1.5278 loss_prob: 0.8752 loss_thr: 0.5014 loss_db: 0.1511 2022/12/19 20:55:45 - mmengine - INFO - Epoch(train) [137][65/79] lr: 6.2812e-03 eta: 5:25:44 time: 0.2301 data_time: 0.0007 memory: 1833 loss: 1.6517 loss_prob: 0.9606 loss_thr: 0.5272 loss_db: 0.1639 2022/12/19 20:55:47 - mmengine - INFO - Epoch(train) [137][70/79] lr: 6.2812e-03 eta: 5:25:42 time: 0.2252 data_time: 0.0007 memory: 1833 loss: 1.7333 loss_prob: 1.0032 loss_thr: 0.5604 loss_db: 0.1697 2022/12/19 20:55:48 - mmengine - INFO - Epoch(train) [137][75/79] lr: 6.2812e-03 eta: 5:25:41 time: 0.2185 data_time: 0.0007 memory: 1833 loss: 2.0027 loss_prob: 1.2598 loss_thr: 0.5586 loss_db: 0.1843 2022/12/19 20:55:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:55:50 - mmengine - INFO - Epoch(train) [138][5/79] lr: 6.2759e-03 eta: 5:25:43 time: 0.2841 data_time: 0.0445 memory: 1833 loss: 1.6380 loss_prob: 0.9408 loss_thr: 0.5314 loss_db: 0.1658 2022/12/19 20:55:51 - mmengine - INFO - Epoch(train) [138][10/79] lr: 6.2759e-03 eta: 5:25:41 time: 0.2825 data_time: 0.0445 memory: 1833 loss: 1.8982 loss_prob: 1.1209 loss_thr: 0.5891 loss_db: 0.1881 2022/12/19 20:55:53 - mmengine - INFO - Epoch(train) [138][15/79] lr: 6.2759e-03 eta: 5:25:40 time: 0.2300 data_time: 0.0008 memory: 1833 loss: 1.7580 loss_prob: 1.0306 loss_thr: 0.5567 loss_db: 0.1707 2022/12/19 20:55:54 - mmengine - INFO - Epoch(train) [138][20/79] lr: 6.2759e-03 eta: 5:25:38 time: 0.2217 data_time: 0.0008 memory: 1833 loss: 1.4366 loss_prob: 0.8026 loss_thr: 0.4978 loss_db: 0.1362 2022/12/19 20:55:55 - mmengine - INFO - Epoch(train) [138][25/79] lr: 6.2759e-03 eta: 5:25:36 time: 0.2103 data_time: 0.0008 memory: 1833 loss: 1.4511 loss_prob: 0.8089 loss_thr: 0.5005 loss_db: 0.1417 2022/12/19 20:55:56 - mmengine - INFO - Epoch(train) [138][30/79] lr: 6.2759e-03 eta: 5:25:34 time: 0.2063 data_time: 0.0008 memory: 1833 loss: 1.5183 loss_prob: 0.8605 loss_thr: 0.5076 loss_db: 0.1502 2022/12/19 20:55:57 - mmengine - INFO - Epoch(train) [138][35/79] lr: 6.2759e-03 eta: 5:25:31 time: 0.2011 data_time: 0.0007 memory: 1833 loss: 1.6147 loss_prob: 0.9256 loss_thr: 0.5313 loss_db: 0.1578 2022/12/19 20:55:58 - mmengine - INFO - Epoch(train) [138][40/79] lr: 6.2759e-03 eta: 5:25:29 time: 0.2081 data_time: 0.0008 memory: 1833 loss: 1.6494 loss_prob: 0.9459 loss_thr: 0.5414 loss_db: 0.1621 2022/12/19 20:55:59 - mmengine - INFO - Epoch(train) [138][45/79] lr: 6.2759e-03 eta: 5:25:28 time: 0.2147 data_time: 0.0009 memory: 1833 loss: 1.5814 loss_prob: 0.8912 loss_thr: 0.5357 loss_db: 0.1545 2022/12/19 20:56:00 - mmengine - INFO - Epoch(train) [138][50/79] lr: 6.2759e-03 eta: 5:25:26 time: 0.2157 data_time: 0.0008 memory: 1833 loss: 1.5789 loss_prob: 0.9082 loss_thr: 0.5138 loss_db: 0.1569 2022/12/19 20:56:01 - mmengine - INFO - Epoch(train) [138][55/79] lr: 6.2759e-03 eta: 5:25:25 time: 0.2320 data_time: 0.0007 memory: 1833 loss: 1.5531 loss_prob: 0.9111 loss_thr: 0.4841 loss_db: 0.1579 2022/12/19 20:56:02 - mmengine - INFO - Epoch(train) [138][60/79] lr: 6.2759e-03 eta: 5:25:24 time: 0.2401 data_time: 0.0007 memory: 1833 loss: 1.5833 loss_prob: 0.9135 loss_thr: 0.5119 loss_db: 0.1580 2022/12/19 20:56:03 - mmengine - INFO - Epoch(train) [138][65/79] lr: 6.2759e-03 eta: 5:25:22 time: 0.2192 data_time: 0.0007 memory: 1833 loss: 1.6571 loss_prob: 0.9547 loss_thr: 0.5408 loss_db: 0.1616 2022/12/19 20:56:04 - mmengine - INFO - Epoch(train) [138][70/79] lr: 6.2759e-03 eta: 5:25:19 time: 0.2034 data_time: 0.0007 memory: 1833 loss: 1.6875 loss_prob: 0.9823 loss_thr: 0.5394 loss_db: 0.1658 2022/12/19 20:56:05 - mmengine - INFO - Epoch(train) [138][75/79] lr: 6.2759e-03 eta: 5:25:18 time: 0.2138 data_time: 0.0007 memory: 1833 loss: 1.6346 loss_prob: 0.9421 loss_thr: 0.5310 loss_db: 0.1615 2022/12/19 20:56:06 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:56:09 - mmengine - INFO - Epoch(train) [139][5/79] lr: 6.2705e-03 eta: 5:25:24 time: 0.3365 data_time: 0.0495 memory: 1833 loss: 1.6150 loss_prob: 0.9307 loss_thr: 0.5264 loss_db: 0.1579 2022/12/19 20:56:10 - mmengine - INFO - Epoch(train) [139][10/79] lr: 6.2705e-03 eta: 5:25:22 time: 0.3352 data_time: 0.0495 memory: 1833 loss: 1.5652 loss_prob: 0.8961 loss_thr: 0.5131 loss_db: 0.1559 2022/12/19 20:56:11 - mmengine - INFO - Epoch(train) [139][15/79] lr: 6.2705e-03 eta: 5:25:20 time: 0.2147 data_time: 0.0008 memory: 1833 loss: 1.5884 loss_prob: 0.8937 loss_thr: 0.5408 loss_db: 0.1539 2022/12/19 20:56:12 - mmengine - INFO - Epoch(train) [139][20/79] lr: 6.2705e-03 eta: 5:25:19 time: 0.2228 data_time: 0.0008 memory: 1833 loss: 1.7009 loss_prob: 0.9822 loss_thr: 0.5492 loss_db: 0.1695 2022/12/19 20:56:13 - mmengine - INFO - Epoch(train) [139][25/79] lr: 6.2705e-03 eta: 5:25:17 time: 0.2271 data_time: 0.0007 memory: 1833 loss: 1.6559 loss_prob: 0.9645 loss_thr: 0.5254 loss_db: 0.1661 2022/12/19 20:56:14 - mmengine - INFO - Epoch(train) [139][30/79] lr: 6.2705e-03 eta: 5:25:16 time: 0.2174 data_time: 0.0007 memory: 1833 loss: 1.5329 loss_prob: 0.8742 loss_thr: 0.5100 loss_db: 0.1487 2022/12/19 20:56:15 - mmengine - INFO - Epoch(train) [139][35/79] lr: 6.2705e-03 eta: 5:25:13 time: 0.2037 data_time: 0.0007 memory: 1833 loss: 1.5015 loss_prob: 0.8589 loss_thr: 0.4947 loss_db: 0.1478 2022/12/19 20:56:16 - mmengine - INFO - Epoch(train) [139][40/79] lr: 6.2705e-03 eta: 5:25:12 time: 0.2115 data_time: 0.0007 memory: 1833 loss: 1.6393 loss_prob: 0.9551 loss_thr: 0.5226 loss_db: 0.1616 2022/12/19 20:56:18 - mmengine - INFO - Epoch(train) [139][45/79] lr: 6.2705e-03 eta: 5:25:12 time: 0.2536 data_time: 0.0009 memory: 1833 loss: 1.7630 loss_prob: 1.0205 loss_thr: 0.5708 loss_db: 0.1717 2022/12/19 20:56:19 - mmengine - INFO - Epoch(train) [139][50/79] lr: 6.2705e-03 eta: 5:25:10 time: 0.2418 data_time: 0.0009 memory: 1833 loss: 1.6672 loss_prob: 0.9512 loss_thr: 0.5557 loss_db: 0.1603 2022/12/19 20:56:20 - mmengine - INFO - Epoch(train) [139][55/79] lr: 6.2705e-03 eta: 5:25:09 time: 0.2216 data_time: 0.0007 memory: 1833 loss: 1.4904 loss_prob: 0.8344 loss_thr: 0.5129 loss_db: 0.1431 2022/12/19 20:56:21 - mmengine - INFO - Epoch(train) [139][60/79] lr: 6.2705e-03 eta: 5:25:08 time: 0.2335 data_time: 0.0007 memory: 1833 loss: 1.4596 loss_prob: 0.8172 loss_thr: 0.4989 loss_db: 0.1435 2022/12/19 20:56:22 - mmengine - INFO - Epoch(train) [139][65/79] lr: 6.2705e-03 eta: 5:25:06 time: 0.2242 data_time: 0.0007 memory: 1833 loss: 1.5493 loss_prob: 0.8873 loss_thr: 0.5076 loss_db: 0.1544 2022/12/19 20:56:23 - mmengine - INFO - Epoch(train) [139][70/79] lr: 6.2705e-03 eta: 5:25:04 time: 0.2153 data_time: 0.0008 memory: 1833 loss: 1.5469 loss_prob: 0.8907 loss_thr: 0.5024 loss_db: 0.1538 2022/12/19 20:56:24 - mmengine - INFO - Epoch(train) [139][75/79] lr: 6.2705e-03 eta: 5:25:03 time: 0.2224 data_time: 0.0007 memory: 1833 loss: 1.4870 loss_prob: 0.8581 loss_thr: 0.4810 loss_db: 0.1478 2022/12/19 20:56:25 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:56:27 - mmengine - INFO - Epoch(train) [140][5/79] lr: 6.2652e-03 eta: 5:25:09 time: 0.3447 data_time: 0.1269 memory: 1833 loss: 1.4253 loss_prob: 0.8049 loss_thr: 0.4848 loss_db: 0.1357 2022/12/19 20:56:28 - mmengine - INFO - Epoch(train) [140][10/79] lr: 6.2652e-03 eta: 5:25:07 time: 0.3315 data_time: 0.1269 memory: 1833 loss: 1.5553 loss_prob: 0.8949 loss_thr: 0.5084 loss_db: 0.1519 2022/12/19 20:56:30 - mmengine - INFO - Epoch(train) [140][15/79] lr: 6.2652e-03 eta: 5:25:05 time: 0.2153 data_time: 0.0008 memory: 1833 loss: 1.6242 loss_prob: 0.9433 loss_thr: 0.5193 loss_db: 0.1616 2022/12/19 20:56:30 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:56:31 - mmengine - INFO - Epoch(train) [140][20/79] lr: 6.2652e-03 eta: 5:25:02 time: 0.2061 data_time: 0.0008 memory: 1833 loss: 1.6268 loss_prob: 0.9410 loss_thr: 0.5269 loss_db: 0.1590 2022/12/19 20:56:32 - mmengine - INFO - Epoch(train) [140][25/79] lr: 6.2652e-03 eta: 5:25:00 time: 0.1942 data_time: 0.0007 memory: 1833 loss: 1.4905 loss_prob: 0.8543 loss_thr: 0.4871 loss_db: 0.1490 2022/12/19 20:56:33 - mmengine - INFO - Epoch(train) [140][30/79] lr: 6.2652e-03 eta: 5:24:59 time: 0.2139 data_time: 0.0007 memory: 1833 loss: 1.5329 loss_prob: 0.8733 loss_thr: 0.5092 loss_db: 0.1504 2022/12/19 20:56:34 - mmengine - INFO - Epoch(train) [140][35/79] lr: 6.2652e-03 eta: 5:25:00 time: 0.2596 data_time: 0.0010 memory: 1833 loss: 1.6403 loss_prob: 0.9386 loss_thr: 0.5432 loss_db: 0.1585 2022/12/19 20:56:35 - mmengine - INFO - Epoch(train) [140][40/79] lr: 6.2652e-03 eta: 5:24:59 time: 0.2691 data_time: 0.0011 memory: 1833 loss: 1.5516 loss_prob: 0.8917 loss_thr: 0.5069 loss_db: 0.1530 2022/12/19 20:56:37 - mmengine - INFO - Epoch(train) [140][45/79] lr: 6.2652e-03 eta: 5:24:58 time: 0.2374 data_time: 0.0008 memory: 1833 loss: 1.4215 loss_prob: 0.7954 loss_thr: 0.4894 loss_db: 0.1366 2022/12/19 20:56:38 - mmengine - INFO - Epoch(train) [140][50/79] lr: 6.2652e-03 eta: 5:24:56 time: 0.2295 data_time: 0.0007 memory: 1833 loss: 1.3816 loss_prob: 0.7649 loss_thr: 0.4833 loss_db: 0.1334 2022/12/19 20:56:39 - mmengine - INFO - Epoch(train) [140][55/79] lr: 6.2652e-03 eta: 5:24:57 time: 0.2461 data_time: 0.0007 memory: 1833 loss: 1.6038 loss_prob: 0.9300 loss_thr: 0.5148 loss_db: 0.1590 2022/12/19 20:56:40 - mmengine - INFO - Epoch(train) [140][60/79] lr: 6.2652e-03 eta: 5:24:54 time: 0.2365 data_time: 0.0007 memory: 1833 loss: 1.5901 loss_prob: 0.9295 loss_thr: 0.5015 loss_db: 0.1592 2022/12/19 20:56:41 - mmengine - INFO - Epoch(train) [140][65/79] lr: 6.2652e-03 eta: 5:24:53 time: 0.2110 data_time: 0.0007 memory: 1833 loss: 1.5524 loss_prob: 0.8889 loss_thr: 0.5122 loss_db: 0.1513 2022/12/19 20:56:42 - mmengine - INFO - Epoch(train) [140][70/79] lr: 6.2652e-03 eta: 5:24:50 time: 0.2116 data_time: 0.0007 memory: 1833 loss: 1.6257 loss_prob: 0.9211 loss_thr: 0.5464 loss_db: 0.1581 2022/12/19 20:56:43 - mmengine - INFO - Epoch(train) [140][75/79] lr: 6.2652e-03 eta: 5:24:48 time: 0.2023 data_time: 0.0007 memory: 1833 loss: 1.5139 loss_prob: 0.8519 loss_thr: 0.5139 loss_db: 0.1481 2022/12/19 20:56:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:56:44 - mmengine - INFO - Epoch(val) [140][5/75] eta: 0:00:01 time: 0.0282 data_time: 0.0113 memory: 1833 2022/12/19 20:56:44 - mmengine - INFO - Epoch(val) [140][10/75] eta: 0:00:01 time: 0.0209 data_time: 0.0024 memory: 425 2022/12/19 20:56:44 - mmengine - INFO - Epoch(val) [140][15/75] eta: 0:00:01 time: 0.0375 data_time: 0.0003 memory: 425 2022/12/19 20:56:44 - mmengine - INFO - Epoch(val) [140][20/75] eta: 0:00:01 time: 0.0380 data_time: 0.0003 memory: 425 2022/12/19 20:56:45 - mmengine - INFO - Epoch(val) [140][25/75] eta: 0:00:01 time: 0.0254 data_time: 0.0096 memory: 390 2022/12/19 20:56:45 - mmengine - INFO - Epoch(val) [140][30/75] eta: 0:00:01 time: 0.0729 data_time: 0.0435 memory: 390 2022/12/19 20:56:45 - mmengine - INFO - Epoch(val) [140][35/75] eta: 0:00:01 time: 0.0776 data_time: 0.0459 memory: 368 2022/12/19 20:56:46 - mmengine - INFO - Epoch(val) [140][40/75] eta: 0:00:01 time: 0.0473 data_time: 0.0250 memory: 390 2022/12/19 20:56:46 - mmengine - INFO - Epoch(val) [140][45/75] eta: 0:00:01 time: 0.0370 data_time: 0.0134 memory: 425 2022/12/19 20:56:46 - mmengine - INFO - Epoch(val) [140][50/75] eta: 0:00:00 time: 0.0193 data_time: 0.0003 memory: 430 2022/12/19 20:56:46 - mmengine - INFO - Epoch(val) [140][55/75] eta: 0:00:00 time: 0.0197 data_time: 0.0025 memory: 407 2022/12/19 20:56:46 - mmengine - INFO - Epoch(val) [140][60/75] eta: 0:00:00 time: 0.0262 data_time: 0.0025 memory: 390 2022/12/19 20:56:46 - mmengine - INFO - Epoch(val) [140][65/75] eta: 0:00:00 time: 0.0252 data_time: 0.0002 memory: 390 2022/12/19 20:56:46 - mmengine - INFO - Epoch(val) [140][70/75] eta: 0:00:00 time: 0.0305 data_time: 0.0002 memory: 425 2022/12/19 20:56:47 - mmengine - INFO - Epoch(val) [140][75/75] eta: 0:00:00 time: 0.0367 data_time: 0.0094 memory: 368 2022/12/19 20:56:47 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 20:56:47 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7801, precision: 0.6774, hmean: 0.7251 2022/12/19 20:56:47 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7801, precision: 0.7404, hmean: 0.7597 2022/12/19 20:56:47 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7743, precision: 0.7932, hmean: 0.7836 2022/12/19 20:56:47 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7517, precision: 0.8342, hmean: 0.7908 2022/12/19 20:56:47 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6609, precision: 0.8851, hmean: 0.7568 2022/12/19 20:56:47 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.2447, precision: 0.9443, hmean: 0.3887 2022/12/19 20:56:47 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0023, precision: 1.0000, hmean: 0.0045 2022/12/19 20:56:47 - mmengine - INFO - Epoch(val) [140][75/75] icdar/precision: 0.8342 icdar/recall: 0.7517 icdar/hmean: 0.7908 2022/12/19 20:56:47 - mmengine - INFO - The previous best checkpoint work_dirs/dbnet_resnet18_fpnc_1200e_totaltext/best_icdar/hmean_epoch_100.pth is removed 2022/12/19 20:56:47 - mmengine - INFO - The best checkpoint with 0.7908 icdar/hmean at 140 epoch is saved to best_icdar/hmean_epoch_140.pth. 2022/12/19 20:56:49 - mmengine - INFO - Epoch(train) [141][5/79] lr: 6.2599e-03 eta: 5:24:45 time: 0.2160 data_time: 0.0198 memory: 1833 loss: 1.7535 loss_prob: 1.0327 loss_thr: 0.5452 loss_db: 0.1757 2022/12/19 20:56:50 - mmengine - INFO - Epoch(train) [141][10/79] lr: 6.2599e-03 eta: 5:24:45 time: 0.2655 data_time: 0.0200 memory: 1833 loss: 1.7324 loss_prob: 1.0132 loss_thr: 0.5449 loss_db: 0.1744 2022/12/19 20:56:51 - mmengine - INFO - Epoch(train) [141][15/79] lr: 6.2599e-03 eta: 5:24:43 time: 0.2446 data_time: 0.0009 memory: 1833 loss: 1.6841 loss_prob: 0.9553 loss_thr: 0.5625 loss_db: 0.1663 2022/12/19 20:56:52 - mmengine - INFO - Epoch(train) [141][20/79] lr: 6.2599e-03 eta: 5:24:42 time: 0.2170 data_time: 0.0008 memory: 1833 loss: 1.6121 loss_prob: 0.9159 loss_thr: 0.5393 loss_db: 0.1568 2022/12/19 20:56:53 - mmengine - INFO - Epoch(train) [141][25/79] lr: 6.2599e-03 eta: 5:24:40 time: 0.2234 data_time: 0.0008 memory: 1833 loss: 1.5322 loss_prob: 0.8794 loss_thr: 0.5035 loss_db: 0.1494 2022/12/19 20:56:54 - mmengine - INFO - Epoch(train) [141][30/79] lr: 6.2599e-03 eta: 5:24:39 time: 0.2277 data_time: 0.0008 memory: 1833 loss: 1.4352 loss_prob: 0.8096 loss_thr: 0.4856 loss_db: 0.1400 2022/12/19 20:56:56 - mmengine - INFO - Epoch(train) [141][35/79] lr: 6.2599e-03 eta: 5:24:38 time: 0.2310 data_time: 0.0007 memory: 1833 loss: 1.4962 loss_prob: 0.8604 loss_thr: 0.4887 loss_db: 0.1471 2022/12/19 20:56:57 - mmengine - INFO - Epoch(train) [141][40/79] lr: 6.2599e-03 eta: 5:24:36 time: 0.2150 data_time: 0.0007 memory: 1833 loss: 1.5779 loss_prob: 0.9122 loss_thr: 0.5101 loss_db: 0.1556 2022/12/19 20:56:58 - mmengine - INFO - Epoch(train) [141][45/79] lr: 6.2599e-03 eta: 5:24:34 time: 0.2060 data_time: 0.0007 memory: 1833 loss: 1.5893 loss_prob: 0.9000 loss_thr: 0.5339 loss_db: 0.1553 2022/12/19 20:56:59 - mmengine - INFO - Epoch(train) [141][50/79] lr: 6.2599e-03 eta: 5:24:33 time: 0.2288 data_time: 0.0007 memory: 1833 loss: 1.5588 loss_prob: 0.8838 loss_thr: 0.5248 loss_db: 0.1502 2022/12/19 20:57:00 - mmengine - INFO - Epoch(train) [141][55/79] lr: 6.2599e-03 eta: 5:24:32 time: 0.2427 data_time: 0.0006 memory: 1833 loss: 1.5611 loss_prob: 0.9009 loss_thr: 0.5116 loss_db: 0.1487 2022/12/19 20:57:01 - mmengine - INFO - Epoch(train) [141][60/79] lr: 6.2599e-03 eta: 5:24:31 time: 0.2407 data_time: 0.0006 memory: 1833 loss: 1.5236 loss_prob: 0.8838 loss_thr: 0.4892 loss_db: 0.1507 2022/12/19 20:57:02 - mmengine - INFO - Epoch(train) [141][65/79] lr: 6.2599e-03 eta: 5:24:30 time: 0.2334 data_time: 0.0006 memory: 1833 loss: 1.5021 loss_prob: 0.8611 loss_thr: 0.4892 loss_db: 0.1518 2022/12/19 20:57:04 - mmengine - INFO - Epoch(train) [141][70/79] lr: 6.2599e-03 eta: 5:24:29 time: 0.2396 data_time: 0.0006 memory: 1833 loss: 1.5378 loss_prob: 0.8787 loss_thr: 0.5054 loss_db: 0.1537 2022/12/19 20:57:05 - mmengine - INFO - Epoch(train) [141][75/79] lr: 6.2599e-03 eta: 5:24:27 time: 0.2237 data_time: 0.0006 memory: 1833 loss: 1.5305 loss_prob: 0.8777 loss_thr: 0.5003 loss_db: 0.1524 2022/12/19 20:57:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:57:08 - mmengine - INFO - Epoch(train) [142][5/79] lr: 6.2546e-03 eta: 5:24:33 time: 0.3384 data_time: 0.1151 memory: 1833 loss: 1.5557 loss_prob: 0.8901 loss_thr: 0.5138 loss_db: 0.1518 2022/12/19 20:57:09 - mmengine - INFO - Epoch(train) [142][10/79] lr: 6.2546e-03 eta: 5:24:31 time: 0.3424 data_time: 0.1151 memory: 1833 loss: 1.4653 loss_prob: 0.8180 loss_thr: 0.5070 loss_db: 0.1403 2022/12/19 20:57:10 - mmengine - INFO - Epoch(train) [142][15/79] lr: 6.2546e-03 eta: 5:24:30 time: 0.2309 data_time: 0.0008 memory: 1833 loss: 1.4729 loss_prob: 0.8209 loss_thr: 0.5126 loss_db: 0.1394 2022/12/19 20:57:11 - mmengine - INFO - Epoch(train) [142][20/79] lr: 6.2546e-03 eta: 5:24:29 time: 0.2278 data_time: 0.0008 memory: 1833 loss: 1.5736 loss_prob: 0.8831 loss_thr: 0.5398 loss_db: 0.1507 2022/12/19 20:57:12 - mmengine - INFO - Epoch(train) [142][25/79] lr: 6.2546e-03 eta: 5:24:27 time: 0.2263 data_time: 0.0008 memory: 1833 loss: 1.6334 loss_prob: 0.9198 loss_thr: 0.5555 loss_db: 0.1581 2022/12/19 20:57:13 - mmengine - INFO - Epoch(train) [142][30/79] lr: 6.2546e-03 eta: 5:24:25 time: 0.2167 data_time: 0.0008 memory: 1833 loss: 1.5717 loss_prob: 0.8931 loss_thr: 0.5248 loss_db: 0.1537 2022/12/19 20:57:14 - mmengine - INFO - Epoch(train) [142][35/79] lr: 6.2546e-03 eta: 5:24:23 time: 0.2040 data_time: 0.0007 memory: 1833 loss: 1.4111 loss_prob: 0.7857 loss_thr: 0.4905 loss_db: 0.1349 2022/12/19 20:57:15 - mmengine - INFO - Epoch(train) [142][40/79] lr: 6.2546e-03 eta: 5:24:21 time: 0.2124 data_time: 0.0007 memory: 1833 loss: 1.4944 loss_prob: 0.8428 loss_thr: 0.5076 loss_db: 0.1440 2022/12/19 20:57:17 - mmengine - INFO - Epoch(train) [142][45/79] lr: 6.2546e-03 eta: 5:24:20 time: 0.2196 data_time: 0.0007 memory: 1833 loss: 1.5363 loss_prob: 0.8756 loss_thr: 0.5112 loss_db: 0.1495 2022/12/19 20:57:18 - mmengine - INFO - Epoch(train) [142][50/79] lr: 6.2546e-03 eta: 5:24:18 time: 0.2166 data_time: 0.0007 memory: 1833 loss: 1.5353 loss_prob: 0.8766 loss_thr: 0.5142 loss_db: 0.1444 2022/12/19 20:57:19 - mmengine - INFO - Epoch(train) [142][55/79] lr: 6.2546e-03 eta: 5:24:17 time: 0.2239 data_time: 0.0006 memory: 1833 loss: 1.6091 loss_prob: 0.9170 loss_thr: 0.5389 loss_db: 0.1531 2022/12/19 20:57:20 - mmengine - INFO - Epoch(train) [142][60/79] lr: 6.2546e-03 eta: 5:24:15 time: 0.2215 data_time: 0.0006 memory: 1833 loss: 1.6426 loss_prob: 0.9470 loss_thr: 0.5322 loss_db: 0.1634 2022/12/19 20:57:21 - mmengine - INFO - Epoch(train) [142][65/79] lr: 6.2546e-03 eta: 5:24:14 time: 0.2309 data_time: 0.0006 memory: 1833 loss: 1.5352 loss_prob: 0.8836 loss_thr: 0.4990 loss_db: 0.1525 2022/12/19 20:57:22 - mmengine - INFO - Epoch(train) [142][70/79] lr: 6.2546e-03 eta: 5:24:12 time: 0.2314 data_time: 0.0007 memory: 1833 loss: 1.6189 loss_prob: 0.9184 loss_thr: 0.5425 loss_db: 0.1580 2022/12/19 20:57:23 - mmengine - INFO - Epoch(train) [142][75/79] lr: 6.2546e-03 eta: 5:24:11 time: 0.2186 data_time: 0.0008 memory: 1833 loss: 1.6876 loss_prob: 0.9664 loss_thr: 0.5556 loss_db: 0.1657 2022/12/19 20:57:24 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:57:26 - mmengine - INFO - Epoch(train) [143][5/79] lr: 6.2493e-03 eta: 5:24:13 time: 0.2976 data_time: 0.0868 memory: 1833 loss: 1.4743 loss_prob: 0.8362 loss_thr: 0.4960 loss_db: 0.1420 2022/12/19 20:57:27 - mmengine - INFO - Epoch(train) [143][10/79] lr: 6.2493e-03 eta: 5:24:12 time: 0.3094 data_time: 0.0869 memory: 1833 loss: 1.4448 loss_prob: 0.8098 loss_thr: 0.4956 loss_db: 0.1394 2022/12/19 20:57:28 - mmengine - INFO - Epoch(train) [143][15/79] lr: 6.2493e-03 eta: 5:24:11 time: 0.2324 data_time: 0.0008 memory: 1833 loss: 1.5303 loss_prob: 0.8687 loss_thr: 0.5091 loss_db: 0.1525 2022/12/19 20:57:29 - mmengine - INFO - Epoch(train) [143][20/79] lr: 6.2493e-03 eta: 5:24:09 time: 0.2240 data_time: 0.0008 memory: 1833 loss: 1.6079 loss_prob: 0.9316 loss_thr: 0.5161 loss_db: 0.1602 2022/12/19 20:57:31 - mmengine - INFO - Epoch(train) [143][25/79] lr: 6.2493e-03 eta: 5:24:08 time: 0.2263 data_time: 0.0008 memory: 1833 loss: 1.5824 loss_prob: 0.9099 loss_thr: 0.5161 loss_db: 0.1564 2022/12/19 20:57:32 - mmengine - INFO - Epoch(train) [143][30/79] lr: 6.2493e-03 eta: 5:24:06 time: 0.2217 data_time: 0.0009 memory: 1833 loss: 1.4867 loss_prob: 0.8389 loss_thr: 0.5023 loss_db: 0.1455 2022/12/19 20:57:33 - mmengine - INFO - Epoch(train) [143][35/79] lr: 6.2493e-03 eta: 5:24:04 time: 0.2098 data_time: 0.0009 memory: 1833 loss: 1.4671 loss_prob: 0.8353 loss_thr: 0.4911 loss_db: 0.1407 2022/12/19 20:57:34 - mmengine - INFO - Epoch(train) [143][40/79] lr: 6.2493e-03 eta: 5:24:02 time: 0.2128 data_time: 0.0008 memory: 1833 loss: 1.5306 loss_prob: 0.8751 loss_thr: 0.5083 loss_db: 0.1473 2022/12/19 20:57:35 - mmengine - INFO - Epoch(train) [143][45/79] lr: 6.2493e-03 eta: 5:24:00 time: 0.2084 data_time: 0.0008 memory: 1833 loss: 1.6397 loss_prob: 0.9523 loss_thr: 0.5286 loss_db: 0.1588 2022/12/19 20:57:36 - mmengine - INFO - Epoch(train) [143][50/79] lr: 6.2493e-03 eta: 5:23:58 time: 0.2102 data_time: 0.0008 memory: 1833 loss: 1.6632 loss_prob: 0.9734 loss_thr: 0.5261 loss_db: 0.1636 2022/12/19 20:57:37 - mmengine - INFO - Epoch(train) [143][55/79] lr: 6.2493e-03 eta: 5:23:56 time: 0.2106 data_time: 0.0006 memory: 1833 loss: 1.4721 loss_prob: 0.8450 loss_thr: 0.4801 loss_db: 0.1470 2022/12/19 20:57:38 - mmengine - INFO - Epoch(train) [143][60/79] lr: 6.2493e-03 eta: 5:23:57 time: 0.2441 data_time: 0.0008 memory: 1833 loss: 1.4447 loss_prob: 0.8306 loss_thr: 0.4721 loss_db: 0.1421 2022/12/19 20:57:39 - mmengine - INFO - Epoch(train) [143][65/79] lr: 6.2493e-03 eta: 5:23:55 time: 0.2602 data_time: 0.0008 memory: 1833 loss: 1.5587 loss_prob: 0.9064 loss_thr: 0.4966 loss_db: 0.1557 2022/12/19 20:57:41 - mmengine - INFO - Epoch(train) [143][70/79] lr: 6.2493e-03 eta: 5:23:54 time: 0.2264 data_time: 0.0006 memory: 1833 loss: 1.4408 loss_prob: 0.8262 loss_thr: 0.4738 loss_db: 0.1407 2022/12/19 20:57:42 - mmengine - INFO - Epoch(train) [143][75/79] lr: 6.2493e-03 eta: 5:23:53 time: 0.2242 data_time: 0.0007 memory: 1833 loss: 1.4668 loss_prob: 0.8341 loss_thr: 0.4929 loss_db: 0.1398 2022/12/19 20:57:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:57:44 - mmengine - INFO - Epoch(train) [144][5/79] lr: 6.2439e-03 eta: 5:23:55 time: 0.2854 data_time: 0.0190 memory: 1833 loss: 1.4685 loss_prob: 0.8523 loss_thr: 0.4712 loss_db: 0.1451 2022/12/19 20:57:46 - mmengine - INFO - Epoch(train) [144][10/79] lr: 6.2439e-03 eta: 5:23:53 time: 0.3084 data_time: 0.0190 memory: 1833 loss: 1.5835 loss_prob: 0.9048 loss_thr: 0.5222 loss_db: 0.1565 2022/12/19 20:57:47 - mmengine - INFO - Epoch(train) [144][15/79] lr: 6.2439e-03 eta: 5:23:51 time: 0.2166 data_time: 0.0009 memory: 1833 loss: 1.6186 loss_prob: 0.9244 loss_thr: 0.5359 loss_db: 0.1583 2022/12/19 20:57:48 - mmengine - INFO - Epoch(train) [144][20/79] lr: 6.2439e-03 eta: 5:23:50 time: 0.2166 data_time: 0.0008 memory: 1833 loss: 1.5156 loss_prob: 0.8662 loss_thr: 0.5017 loss_db: 0.1477 2022/12/19 20:57:49 - mmengine - INFO - Epoch(train) [144][25/79] lr: 6.2439e-03 eta: 5:23:48 time: 0.2236 data_time: 0.0007 memory: 1833 loss: 1.4768 loss_prob: 0.8367 loss_thr: 0.4964 loss_db: 0.1436 2022/12/19 20:57:50 - mmengine - INFO - Epoch(train) [144][30/79] lr: 6.2439e-03 eta: 5:23:47 time: 0.2220 data_time: 0.0007 memory: 1833 loss: 1.4947 loss_prob: 0.8445 loss_thr: 0.5050 loss_db: 0.1452 2022/12/19 20:57:51 - mmengine - INFO - Epoch(train) [144][35/79] lr: 6.2439e-03 eta: 5:23:45 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 1.5387 loss_prob: 0.8716 loss_thr: 0.5158 loss_db: 0.1514 2022/12/19 20:57:52 - mmengine - INFO - Epoch(train) [144][40/79] lr: 6.2439e-03 eta: 5:23:44 time: 0.2232 data_time: 0.0007 memory: 1833 loss: 1.5061 loss_prob: 0.8586 loss_thr: 0.4999 loss_db: 0.1476 2022/12/19 20:57:54 - mmengine - INFO - Epoch(train) [144][45/79] lr: 6.2439e-03 eta: 5:23:45 time: 0.2602 data_time: 0.0008 memory: 1833 loss: 1.4116 loss_prob: 0.7844 loss_thr: 0.4906 loss_db: 0.1367 2022/12/19 20:57:55 - mmengine - INFO - Epoch(train) [144][50/79] lr: 6.2439e-03 eta: 5:23:43 time: 0.2601 data_time: 0.0009 memory: 1833 loss: 1.5008 loss_prob: 0.8370 loss_thr: 0.5197 loss_db: 0.1441 2022/12/19 20:57:56 - mmengine - INFO - Epoch(train) [144][55/79] lr: 6.2439e-03 eta: 5:23:41 time: 0.2183 data_time: 0.0008 memory: 1833 loss: 1.6146 loss_prob: 0.9265 loss_thr: 0.5300 loss_db: 0.1581 2022/12/19 20:57:57 - mmengine - INFO - Epoch(train) [144][60/79] lr: 6.2439e-03 eta: 5:23:39 time: 0.2110 data_time: 0.0007 memory: 1833 loss: 1.7693 loss_prob: 1.0429 loss_thr: 0.5531 loss_db: 0.1733 2022/12/19 20:57:58 - mmengine - INFO - Epoch(train) [144][65/79] lr: 6.2439e-03 eta: 5:23:37 time: 0.2106 data_time: 0.0007 memory: 1833 loss: 1.6741 loss_prob: 0.9803 loss_thr: 0.5302 loss_db: 0.1636 2022/12/19 20:57:59 - mmengine - INFO - Epoch(train) [144][70/79] lr: 6.2439e-03 eta: 5:23:35 time: 0.2086 data_time: 0.0007 memory: 1833 loss: 1.5113 loss_prob: 0.8587 loss_thr: 0.5065 loss_db: 0.1461 2022/12/19 20:58:00 - mmengine - INFO - Epoch(train) [144][75/79] lr: 6.2439e-03 eta: 5:23:33 time: 0.2118 data_time: 0.0007 memory: 1833 loss: 1.4396 loss_prob: 0.8122 loss_thr: 0.4890 loss_db: 0.1384 2022/12/19 20:58:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:58:03 - mmengine - INFO - Epoch(train) [145][5/79] lr: 6.2386e-03 eta: 5:23:35 time: 0.2813 data_time: 0.0690 memory: 1833 loss: 1.4654 loss_prob: 0.8192 loss_thr: 0.5037 loss_db: 0.1425 2022/12/19 20:58:04 - mmengine - INFO - Epoch(train) [145][10/79] lr: 6.2386e-03 eta: 5:23:34 time: 0.3081 data_time: 0.0691 memory: 1833 loss: 1.3215 loss_prob: 0.7310 loss_thr: 0.4630 loss_db: 0.1274 2022/12/19 20:58:05 - mmengine - INFO - Epoch(train) [145][15/79] lr: 6.2386e-03 eta: 5:23:33 time: 0.2319 data_time: 0.0008 memory: 1833 loss: 1.4192 loss_prob: 0.8003 loss_thr: 0.4812 loss_db: 0.1377 2022/12/19 20:58:06 - mmengine - INFO - Epoch(train) [145][20/79] lr: 6.2386e-03 eta: 5:23:31 time: 0.2290 data_time: 0.0008 memory: 1833 loss: 1.4829 loss_prob: 0.8476 loss_thr: 0.4901 loss_db: 0.1452 2022/12/19 20:58:07 - mmengine - INFO - Epoch(train) [145][25/79] lr: 6.2386e-03 eta: 5:23:30 time: 0.2257 data_time: 0.0007 memory: 1833 loss: 1.3836 loss_prob: 0.7691 loss_thr: 0.4817 loss_db: 0.1327 2022/12/19 20:58:08 - mmengine - INFO - Epoch(train) [145][30/79] lr: 6.2386e-03 eta: 5:23:28 time: 0.2156 data_time: 0.0007 memory: 1833 loss: 1.3919 loss_prob: 0.7674 loss_thr: 0.4923 loss_db: 0.1322 2022/12/19 20:58:09 - mmengine - INFO - Epoch(train) [145][35/79] lr: 6.2386e-03 eta: 5:23:26 time: 0.2119 data_time: 0.0009 memory: 1833 loss: 1.4818 loss_prob: 0.8318 loss_thr: 0.5109 loss_db: 0.1391 2022/12/19 20:58:11 - mmengine - INFO - Epoch(train) [145][40/79] lr: 6.2386e-03 eta: 5:23:25 time: 0.2269 data_time: 0.0011 memory: 1833 loss: 1.5839 loss_prob: 0.8949 loss_thr: 0.5367 loss_db: 0.1522 2022/12/19 20:58:12 - mmengine - INFO - Epoch(train) [145][45/79] lr: 6.2386e-03 eta: 5:23:23 time: 0.2209 data_time: 0.0010 memory: 1833 loss: 1.5556 loss_prob: 0.8821 loss_thr: 0.5211 loss_db: 0.1524 2022/12/19 20:58:13 - mmengine - INFO - Epoch(train) [145][50/79] lr: 6.2386e-03 eta: 5:23:23 time: 0.2360 data_time: 0.0008 memory: 1833 loss: 1.4931 loss_prob: 0.8436 loss_thr: 0.5056 loss_db: 0.1439 2022/12/19 20:58:14 - mmengine - INFO - Epoch(train) [145][55/79] lr: 6.2386e-03 eta: 5:23:21 time: 0.2336 data_time: 0.0008 memory: 1833 loss: 1.5070 loss_prob: 0.8548 loss_thr: 0.5043 loss_db: 0.1478 2022/12/19 20:58:15 - mmengine - INFO - Epoch(train) [145][60/79] lr: 6.2386e-03 eta: 5:23:19 time: 0.2165 data_time: 0.0007 memory: 1833 loss: 1.6005 loss_prob: 0.9190 loss_thr: 0.5263 loss_db: 0.1551 2022/12/19 20:58:16 - mmengine - INFO - Epoch(train) [145][65/79] lr: 6.2386e-03 eta: 5:23:19 time: 0.2367 data_time: 0.0007 memory: 1833 loss: 1.5652 loss_prob: 0.8856 loss_thr: 0.5305 loss_db: 0.1491 2022/12/19 20:58:17 - mmengine - INFO - Epoch(train) [145][70/79] lr: 6.2386e-03 eta: 5:23:16 time: 0.2225 data_time: 0.0007 memory: 1833 loss: 1.4499 loss_prob: 0.8136 loss_thr: 0.4952 loss_db: 0.1412 2022/12/19 20:58:18 - mmengine - INFO - Epoch(train) [145][75/79] lr: 6.2386e-03 eta: 5:23:14 time: 0.1960 data_time: 0.0007 memory: 1833 loss: 1.5747 loss_prob: 0.8997 loss_thr: 0.5211 loss_db: 0.1539 2022/12/19 20:58:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:58:21 - mmengine - INFO - Epoch(train) [146][5/79] lr: 6.2333e-03 eta: 5:23:18 time: 0.3143 data_time: 0.0848 memory: 1833 loss: 1.3480 loss_prob: 0.7479 loss_thr: 0.4704 loss_db: 0.1297 2022/12/19 20:58:22 - mmengine - INFO - Epoch(train) [146][10/79] lr: 6.2333e-03 eta: 5:23:17 time: 0.3436 data_time: 0.0849 memory: 1833 loss: 1.3831 loss_prob: 0.7717 loss_thr: 0.4809 loss_db: 0.1305 2022/12/19 20:58:24 - mmengine - INFO - Epoch(train) [146][15/79] lr: 6.2333e-03 eta: 5:23:17 time: 0.2446 data_time: 0.0007 memory: 1833 loss: 1.5119 loss_prob: 0.8526 loss_thr: 0.5133 loss_db: 0.1459 2022/12/19 20:58:25 - mmengine - INFO - Epoch(train) [146][20/79] lr: 6.2333e-03 eta: 5:23:14 time: 0.2202 data_time: 0.0007 memory: 1833 loss: 1.5951 loss_prob: 0.9105 loss_thr: 0.5261 loss_db: 0.1584 2022/12/19 20:58:26 - mmengine - INFO - Epoch(train) [146][25/79] lr: 6.2333e-03 eta: 5:23:14 time: 0.2272 data_time: 0.0008 memory: 1833 loss: 1.5239 loss_prob: 0.8715 loss_thr: 0.5009 loss_db: 0.1516 2022/12/19 20:58:27 - mmengine - INFO - Epoch(train) [146][30/79] lr: 6.2333e-03 eta: 5:23:14 time: 0.2577 data_time: 0.0008 memory: 1833 loss: 1.4550 loss_prob: 0.8225 loss_thr: 0.4897 loss_db: 0.1428 2022/12/19 20:58:28 - mmengine - INFO - Epoch(train) [146][35/79] lr: 6.2333e-03 eta: 5:23:12 time: 0.2354 data_time: 0.0007 memory: 1833 loss: 1.4993 loss_prob: 0.8469 loss_thr: 0.5076 loss_db: 0.1449 2022/12/19 20:58:29 - mmengine - INFO - Epoch(train) [146][40/79] lr: 6.2333e-03 eta: 5:23:11 time: 0.2231 data_time: 0.0008 memory: 1833 loss: 1.5662 loss_prob: 0.8964 loss_thr: 0.5161 loss_db: 0.1537 2022/12/19 20:58:31 - mmengine - INFO - Epoch(train) [146][45/79] lr: 6.2333e-03 eta: 5:23:09 time: 0.2226 data_time: 0.0008 memory: 1833 loss: 1.6459 loss_prob: 0.9537 loss_thr: 0.5289 loss_db: 0.1634 2022/12/19 20:58:32 - mmengine - INFO - Epoch(train) [146][50/79] lr: 6.2333e-03 eta: 5:23:07 time: 0.2117 data_time: 0.0007 memory: 1833 loss: 1.5480 loss_prob: 0.8899 loss_thr: 0.5064 loss_db: 0.1517 2022/12/19 20:58:33 - mmengine - INFO - Epoch(train) [146][55/79] lr: 6.2333e-03 eta: 5:23:05 time: 0.2085 data_time: 0.0007 memory: 1833 loss: 1.5172 loss_prob: 0.8631 loss_thr: 0.5064 loss_db: 0.1477 2022/12/19 20:58:34 - mmengine - INFO - Epoch(train) [146][60/79] lr: 6.2333e-03 eta: 5:23:03 time: 0.2138 data_time: 0.0007 memory: 1833 loss: 1.5378 loss_prob: 0.8791 loss_thr: 0.5063 loss_db: 0.1524 2022/12/19 20:58:35 - mmengine - INFO - Epoch(train) [146][65/79] lr: 6.2333e-03 eta: 5:23:01 time: 0.2180 data_time: 0.0007 memory: 1833 loss: 1.3905 loss_prob: 0.7833 loss_thr: 0.4704 loss_db: 0.1368 2022/12/19 20:58:36 - mmengine - INFO - Epoch(train) [146][70/79] lr: 6.2333e-03 eta: 5:22:59 time: 0.2146 data_time: 0.0006 memory: 1833 loss: 1.3050 loss_prob: 0.7184 loss_thr: 0.4596 loss_db: 0.1270 2022/12/19 20:58:37 - mmengine - INFO - Epoch(train) [146][75/79] lr: 6.2333e-03 eta: 5:22:58 time: 0.2191 data_time: 0.0006 memory: 1833 loss: 1.4459 loss_prob: 0.8057 loss_thr: 0.4984 loss_db: 0.1419 2022/12/19 20:58:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:58:40 - mmengine - INFO - Epoch(train) [147][5/79] lr: 6.2280e-03 eta: 5:23:05 time: 0.3493 data_time: 0.0608 memory: 1833 loss: 1.4770 loss_prob: 0.8278 loss_thr: 0.5083 loss_db: 0.1409 2022/12/19 20:58:42 - mmengine - INFO - Epoch(train) [147][10/79] lr: 6.2280e-03 eta: 5:23:05 time: 0.3994 data_time: 0.0610 memory: 1833 loss: 1.5118 loss_prob: 0.8473 loss_thr: 0.5191 loss_db: 0.1453 2022/12/19 20:58:43 - mmengine - INFO - Epoch(train) [147][15/79] lr: 6.2280e-03 eta: 5:23:04 time: 0.2588 data_time: 0.0008 memory: 1833 loss: 1.4629 loss_prob: 0.8138 loss_thr: 0.5082 loss_db: 0.1408 2022/12/19 20:58:44 - mmengine - INFO - Epoch(train) [147][20/79] lr: 6.2280e-03 eta: 5:23:02 time: 0.2189 data_time: 0.0008 memory: 1833 loss: 1.5422 loss_prob: 0.8715 loss_thr: 0.5195 loss_db: 0.1512 2022/12/19 20:58:45 - mmengine - INFO - Epoch(train) [147][25/79] lr: 6.2280e-03 eta: 5:23:00 time: 0.2047 data_time: 0.0007 memory: 1833 loss: 1.6382 loss_prob: 0.9529 loss_thr: 0.5250 loss_db: 0.1602 2022/12/19 20:58:46 - mmengine - INFO - Epoch(train) [147][30/79] lr: 6.2280e-03 eta: 5:22:59 time: 0.2203 data_time: 0.0007 memory: 1833 loss: 1.5016 loss_prob: 0.8592 loss_thr: 0.4981 loss_db: 0.1443 2022/12/19 20:58:47 - mmengine - INFO - Epoch(train) [147][35/79] lr: 6.2280e-03 eta: 5:22:57 time: 0.2279 data_time: 0.0008 memory: 1833 loss: 1.4284 loss_prob: 0.7974 loss_thr: 0.4938 loss_db: 0.1371 2022/12/19 20:58:48 - mmengine - INFO - Epoch(train) [147][40/79] lr: 6.2280e-03 eta: 5:22:56 time: 0.2312 data_time: 0.0008 memory: 1833 loss: 1.6143 loss_prob: 0.9091 loss_thr: 0.5486 loss_db: 0.1566 2022/12/19 20:58:50 - mmengine - INFO - Epoch(train) [147][45/79] lr: 6.2280e-03 eta: 5:22:55 time: 0.2412 data_time: 0.0008 memory: 1833 loss: 1.6897 loss_prob: 0.9631 loss_thr: 0.5605 loss_db: 0.1661 2022/12/19 20:58:51 - mmengine - INFO - Epoch(train) [147][50/79] lr: 6.2280e-03 eta: 5:22:53 time: 0.2257 data_time: 0.0008 memory: 1833 loss: 1.5569 loss_prob: 0.8901 loss_thr: 0.5155 loss_db: 0.1512 2022/12/19 20:58:52 - mmengine - INFO - Epoch(train) [147][55/79] lr: 6.2280e-03 eta: 5:22:52 time: 0.2154 data_time: 0.0007 memory: 1833 loss: 1.5669 loss_prob: 0.8870 loss_thr: 0.5271 loss_db: 0.1529 2022/12/19 20:58:53 - mmengine - INFO - Epoch(train) [147][60/79] lr: 6.2280e-03 eta: 5:22:49 time: 0.1991 data_time: 0.0007 memory: 1833 loss: 1.5469 loss_prob: 0.8757 loss_thr: 0.5200 loss_db: 0.1512 2022/12/19 20:58:54 - mmengine - INFO - Epoch(train) [147][65/79] lr: 6.2280e-03 eta: 5:22:46 time: 0.1883 data_time: 0.0006 memory: 1833 loss: 1.7421 loss_prob: 1.0732 loss_thr: 0.4993 loss_db: 0.1696 2022/12/19 20:58:55 - mmengine - INFO - Epoch(train) [147][70/79] lr: 6.2280e-03 eta: 5:22:45 time: 0.2084 data_time: 0.0006 memory: 1833 loss: 1.6845 loss_prob: 1.0281 loss_thr: 0.4925 loss_db: 0.1640 2022/12/19 20:58:56 - mmengine - INFO - Epoch(train) [147][75/79] lr: 6.2280e-03 eta: 5:22:42 time: 0.2008 data_time: 0.0006 memory: 1833 loss: 1.2769 loss_prob: 0.7036 loss_thr: 0.4540 loss_db: 0.1193 2022/12/19 20:58:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:58:59 - mmengine - INFO - Epoch(train) [148][5/79] lr: 6.2227e-03 eta: 5:22:50 time: 0.3798 data_time: 0.0395 memory: 1833 loss: 1.5366 loss_prob: 0.8869 loss_thr: 0.4930 loss_db: 0.1567 2022/12/19 20:59:00 - mmengine - INFO - Epoch(train) [148][10/79] lr: 6.2227e-03 eta: 5:22:48 time: 0.4020 data_time: 0.0396 memory: 1833 loss: 1.5737 loss_prob: 0.9004 loss_thr: 0.5139 loss_db: 0.1594 2022/12/19 20:59:01 - mmengine - INFO - Epoch(train) [148][15/79] lr: 6.2227e-03 eta: 5:22:46 time: 0.2061 data_time: 0.0008 memory: 1833 loss: 1.5147 loss_prob: 0.8592 loss_thr: 0.5012 loss_db: 0.1542 2022/12/19 20:59:02 - mmengine - INFO - Epoch(train) [148][20/79] lr: 6.2227e-03 eta: 5:22:45 time: 0.2103 data_time: 0.0008 memory: 1833 loss: 1.3459 loss_prob: 0.7406 loss_thr: 0.4753 loss_db: 0.1300 2022/12/19 20:59:04 - mmengine - INFO - Epoch(train) [148][25/79] lr: 6.2227e-03 eta: 5:22:43 time: 0.2267 data_time: 0.0009 memory: 1833 loss: 1.4226 loss_prob: 0.7949 loss_thr: 0.4910 loss_db: 0.1367 2022/12/19 20:59:05 - mmengine - INFO - Epoch(train) [148][30/79] lr: 6.2227e-03 eta: 5:22:42 time: 0.2250 data_time: 0.0008 memory: 1833 loss: 1.5198 loss_prob: 0.8497 loss_thr: 0.5214 loss_db: 0.1487 2022/12/19 20:59:06 - mmengine - INFO - Epoch(train) [148][35/79] lr: 6.2227e-03 eta: 5:22:39 time: 0.2091 data_time: 0.0008 memory: 1833 loss: 1.4429 loss_prob: 0.8119 loss_thr: 0.4878 loss_db: 0.1431 2022/12/19 20:59:07 - mmengine - INFO - Epoch(train) [148][40/79] lr: 6.2227e-03 eta: 5:22:38 time: 0.2161 data_time: 0.0008 memory: 1833 loss: 1.3058 loss_prob: 0.7411 loss_thr: 0.4344 loss_db: 0.1304 2022/12/19 20:59:08 - mmengine - INFO - Epoch(train) [148][45/79] lr: 6.2227e-03 eta: 5:22:36 time: 0.2231 data_time: 0.0007 memory: 1833 loss: 1.2669 loss_prob: 0.6987 loss_thr: 0.4479 loss_db: 0.1204 2022/12/19 20:59:09 - mmengine - INFO - Epoch(train) [148][50/79] lr: 6.2227e-03 eta: 5:22:34 time: 0.2138 data_time: 0.0007 memory: 1833 loss: 1.3827 loss_prob: 0.7678 loss_thr: 0.4890 loss_db: 0.1259 2022/12/19 20:59:10 - mmengine - INFO - Epoch(train) [148][55/79] lr: 6.2227e-03 eta: 5:22:32 time: 0.1976 data_time: 0.0007 memory: 1833 loss: 1.4573 loss_prob: 0.8298 loss_thr: 0.4911 loss_db: 0.1364 2022/12/19 20:59:11 - mmengine - INFO - Epoch(train) [148][60/79] lr: 6.2227e-03 eta: 5:22:29 time: 0.1886 data_time: 0.0007 memory: 1833 loss: 1.4682 loss_prob: 0.8405 loss_thr: 0.4842 loss_db: 0.1436 2022/12/19 20:59:12 - mmengine - INFO - Epoch(train) [148][65/79] lr: 6.2227e-03 eta: 5:22:27 time: 0.1963 data_time: 0.0007 memory: 1833 loss: 1.4949 loss_prob: 0.8493 loss_thr: 0.4980 loss_db: 0.1475 2022/12/19 20:59:13 - mmengine - INFO - Epoch(train) [148][70/79] lr: 6.2227e-03 eta: 5:22:26 time: 0.2217 data_time: 0.0006 memory: 1833 loss: 1.4451 loss_prob: 0.8124 loss_thr: 0.4900 loss_db: 0.1427 2022/12/19 20:59:14 - mmengine - INFO - Epoch(train) [148][75/79] lr: 6.2227e-03 eta: 5:22:25 time: 0.2415 data_time: 0.0009 memory: 1833 loss: 1.3863 loss_prob: 0.7645 loss_thr: 0.4875 loss_db: 0.1343 2022/12/19 20:59:15 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:59:17 - mmengine - INFO - Epoch(train) [149][5/79] lr: 6.2173e-03 eta: 5:22:26 time: 0.2850 data_time: 0.0798 memory: 1833 loss: 1.4636 loss_prob: 0.8373 loss_thr: 0.4834 loss_db: 0.1429 2022/12/19 20:59:18 - mmengine - INFO - Epoch(train) [149][10/79] lr: 6.2173e-03 eta: 5:22:25 time: 0.2973 data_time: 0.0798 memory: 1833 loss: 1.4607 loss_prob: 0.8324 loss_thr: 0.4884 loss_db: 0.1400 2022/12/19 20:59:19 - mmengine - INFO - Epoch(train) [149][15/79] lr: 6.2173e-03 eta: 5:22:24 time: 0.2273 data_time: 0.0008 memory: 1833 loss: 1.5136 loss_prob: 0.8554 loss_thr: 0.5135 loss_db: 0.1447 2022/12/19 20:59:20 - mmengine - INFO - Epoch(train) [149][20/79] lr: 6.2173e-03 eta: 5:22:22 time: 0.2252 data_time: 0.0008 memory: 1833 loss: 1.6657 loss_prob: 0.9717 loss_thr: 0.5336 loss_db: 0.1604 2022/12/19 20:59:21 - mmengine - INFO - Epoch(train) [149][25/79] lr: 6.2173e-03 eta: 5:22:20 time: 0.2210 data_time: 0.0008 memory: 1833 loss: 1.6665 loss_prob: 0.9770 loss_thr: 0.5266 loss_db: 0.1629 2022/12/19 20:59:22 - mmengine - INFO - Epoch(train) [149][30/79] lr: 6.2173e-03 eta: 5:22:19 time: 0.2206 data_time: 0.0008 memory: 1833 loss: 1.4299 loss_prob: 0.8028 loss_thr: 0.4868 loss_db: 0.1403 2022/12/19 20:59:24 - mmengine - INFO - Epoch(train) [149][35/79] lr: 6.2173e-03 eta: 5:22:17 time: 0.2218 data_time: 0.0008 memory: 1833 loss: 1.2819 loss_prob: 0.7027 loss_thr: 0.4582 loss_db: 0.1210 2022/12/19 20:59:25 - mmengine - INFO - Epoch(train) [149][40/79] lr: 6.2173e-03 eta: 5:22:16 time: 0.2283 data_time: 0.0008 memory: 1833 loss: 1.3787 loss_prob: 0.7699 loss_thr: 0.4781 loss_db: 0.1308 2022/12/19 20:59:26 - mmengine - INFO - Epoch(train) [149][45/79] lr: 6.2173e-03 eta: 5:22:14 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 1.4256 loss_prob: 0.7945 loss_thr: 0.4934 loss_db: 0.1376 2022/12/19 20:59:27 - mmengine - INFO - Epoch(train) [149][50/79] lr: 6.2173e-03 eta: 5:22:12 time: 0.2022 data_time: 0.0007 memory: 1833 loss: 1.4482 loss_prob: 0.8101 loss_thr: 0.4961 loss_db: 0.1419 2022/12/19 20:59:28 - mmengine - INFO - Epoch(train) [149][55/79] lr: 6.2173e-03 eta: 5:22:10 time: 0.2125 data_time: 0.0007 memory: 1833 loss: 1.4037 loss_prob: 0.7901 loss_thr: 0.4772 loss_db: 0.1364 2022/12/19 20:59:29 - mmengine - INFO - Epoch(train) [149][60/79] lr: 6.2173e-03 eta: 5:22:08 time: 0.2134 data_time: 0.0007 memory: 1833 loss: 1.4595 loss_prob: 0.8339 loss_thr: 0.4811 loss_db: 0.1445 2022/12/19 20:59:30 - mmengine - INFO - Epoch(train) [149][65/79] lr: 6.2173e-03 eta: 5:22:08 time: 0.2315 data_time: 0.0008 memory: 1833 loss: 1.6739 loss_prob: 0.9827 loss_thr: 0.5262 loss_db: 0.1651 2022/12/19 20:59:31 - mmengine - INFO - Epoch(train) [149][70/79] lr: 6.2173e-03 eta: 5:22:06 time: 0.2331 data_time: 0.0008 memory: 1833 loss: 1.6019 loss_prob: 0.9434 loss_thr: 0.5062 loss_db: 0.1523 2022/12/19 20:59:32 - mmengine - INFO - Epoch(train) [149][75/79] lr: 6.2173e-03 eta: 5:22:04 time: 0.2146 data_time: 0.0007 memory: 1833 loss: 1.4808 loss_prob: 0.8606 loss_thr: 0.4814 loss_db: 0.1387 2022/12/19 20:59:33 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:59:36 - mmengine - INFO - Epoch(train) [150][5/79] lr: 6.2120e-03 eta: 5:22:10 time: 0.3374 data_time: 0.0540 memory: 1833 loss: 1.6081 loss_prob: 0.9355 loss_thr: 0.5098 loss_db: 0.1628 2022/12/19 20:59:37 - mmengine - INFO - Epoch(train) [150][10/79] lr: 6.2120e-03 eta: 5:22:08 time: 0.3437 data_time: 0.0541 memory: 1833 loss: 1.5463 loss_prob: 0.8906 loss_thr: 0.5045 loss_db: 0.1512 2022/12/19 20:59:38 - mmengine - INFO - Epoch(train) [150][15/79] lr: 6.2120e-03 eta: 5:22:06 time: 0.2118 data_time: 0.0008 memory: 1833 loss: 1.4448 loss_prob: 0.8064 loss_thr: 0.5016 loss_db: 0.1368 2022/12/19 20:59:39 - mmengine - INFO - Epoch(train) [150][20/79] lr: 6.2120e-03 eta: 5:22:04 time: 0.2152 data_time: 0.0008 memory: 1833 loss: 1.5937 loss_prob: 0.9038 loss_thr: 0.5361 loss_db: 0.1538 2022/12/19 20:59:40 - mmengine - INFO - Epoch(train) [150][25/79] lr: 6.2120e-03 eta: 5:22:03 time: 0.2270 data_time: 0.0008 memory: 1833 loss: 1.6576 loss_prob: 0.9655 loss_thr: 0.5333 loss_db: 0.1587 2022/12/19 20:59:41 - mmengine - INFO - Epoch(train) [150][30/79] lr: 6.2120e-03 eta: 5:22:02 time: 0.2263 data_time: 0.0008 memory: 1833 loss: 1.7720 loss_prob: 1.0556 loss_thr: 0.5394 loss_db: 0.1769 2022/12/19 20:59:42 - mmengine - INFO - Epoch(train) [150][35/79] lr: 6.2120e-03 eta: 5:22:00 time: 0.2162 data_time: 0.0008 memory: 1833 loss: 1.7140 loss_prob: 1.0013 loss_thr: 0.5419 loss_db: 0.1708 2022/12/19 20:59:43 - mmengine - INFO - Epoch(train) [150][40/79] lr: 6.2120e-03 eta: 5:21:58 time: 0.2196 data_time: 0.0007 memory: 1833 loss: 1.4575 loss_prob: 0.8197 loss_thr: 0.4971 loss_db: 0.1407 2022/12/19 20:59:44 - mmengine - INFO - Epoch(train) [150][45/79] lr: 6.2120e-03 eta: 5:21:58 time: 0.2339 data_time: 0.0008 memory: 1833 loss: 1.5718 loss_prob: 0.8989 loss_thr: 0.5222 loss_db: 0.1507 2022/12/19 20:59:46 - mmengine - INFO - Epoch(train) [150][50/79] lr: 6.2120e-03 eta: 5:21:57 time: 0.2502 data_time: 0.0009 memory: 1833 loss: 1.6825 loss_prob: 0.9746 loss_thr: 0.5514 loss_db: 0.1565 2022/12/19 20:59:47 - mmengine - INFO - Epoch(train) [150][55/79] lr: 6.2120e-03 eta: 5:21:57 time: 0.2525 data_time: 0.0010 memory: 1833 loss: 1.6950 loss_prob: 0.9777 loss_thr: 0.5555 loss_db: 0.1617 2022/12/19 20:59:48 - mmengine - INFO - Epoch(train) [150][60/79] lr: 6.2120e-03 eta: 5:21:56 time: 0.2468 data_time: 0.0009 memory: 1833 loss: 1.6450 loss_prob: 0.9336 loss_thr: 0.5498 loss_db: 0.1615 2022/12/19 20:59:49 - mmengine - INFO - Epoch(train) [150][65/79] lr: 6.2120e-03 eta: 5:21:53 time: 0.2207 data_time: 0.0007 memory: 1833 loss: 1.4818 loss_prob: 0.8340 loss_thr: 0.5011 loss_db: 0.1467 2022/12/19 20:59:50 - mmengine - INFO - Epoch(train) [150][70/79] lr: 6.2120e-03 eta: 5:21:51 time: 0.2014 data_time: 0.0007 memory: 1833 loss: 1.4167 loss_prob: 0.8011 loss_thr: 0.4778 loss_db: 0.1378 2022/12/19 20:59:51 - mmengine - INFO - Epoch(train) [150][75/79] lr: 6.2120e-03 eta: 5:21:49 time: 0.2079 data_time: 0.0008 memory: 1833 loss: 1.5755 loss_prob: 0.9044 loss_thr: 0.5170 loss_db: 0.1541 2022/12/19 20:59:52 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 20:59:54 - mmengine - INFO - Epoch(train) [151][5/79] lr: 6.2067e-03 eta: 5:21:54 time: 0.3221 data_time: 0.0876 memory: 1833 loss: 1.5211 loss_prob: 0.8761 loss_thr: 0.4960 loss_db: 0.1490 2022/12/19 20:59:55 - mmengine - INFO - Epoch(train) [151][10/79] lr: 6.2067e-03 eta: 5:21:53 time: 0.3407 data_time: 0.0877 memory: 1833 loss: 1.4991 loss_prob: 0.8609 loss_thr: 0.4922 loss_db: 0.1460 2022/12/19 20:59:57 - mmengine - INFO - Epoch(train) [151][15/79] lr: 6.2067e-03 eta: 5:21:52 time: 0.2367 data_time: 0.0008 memory: 1833 loss: 1.5737 loss_prob: 0.8961 loss_thr: 0.5250 loss_db: 0.1526 2022/12/19 20:59:58 - mmengine - INFO - Epoch(train) [151][20/79] lr: 6.2067e-03 eta: 5:21:50 time: 0.2188 data_time: 0.0008 memory: 1833 loss: 1.4860 loss_prob: 0.8279 loss_thr: 0.5134 loss_db: 0.1448 2022/12/19 20:59:59 - mmengine - INFO - Epoch(train) [151][25/79] lr: 6.2067e-03 eta: 5:21:50 time: 0.2358 data_time: 0.0008 memory: 1833 loss: 1.4029 loss_prob: 0.7759 loss_thr: 0.4888 loss_db: 0.1382 2022/12/19 21:00:00 - mmengine - INFO - Epoch(train) [151][30/79] lr: 6.2067e-03 eta: 5:21:47 time: 0.2342 data_time: 0.0007 memory: 1833 loss: 1.4387 loss_prob: 0.8096 loss_thr: 0.4885 loss_db: 0.1406 2022/12/19 21:00:01 - mmengine - INFO - Epoch(train) [151][35/79] lr: 6.2067e-03 eta: 5:21:45 time: 0.2020 data_time: 0.0007 memory: 1833 loss: 1.4659 loss_prob: 0.8399 loss_thr: 0.4792 loss_db: 0.1468 2022/12/19 21:00:02 - mmengine - INFO - Epoch(train) [151][40/79] lr: 6.2067e-03 eta: 5:21:45 time: 0.2346 data_time: 0.0008 memory: 1833 loss: 1.4128 loss_prob: 0.8090 loss_thr: 0.4626 loss_db: 0.1412 2022/12/19 21:00:03 - mmengine - INFO - Epoch(train) [151][45/79] lr: 6.2067e-03 eta: 5:21:44 time: 0.2443 data_time: 0.0010 memory: 1833 loss: 1.3434 loss_prob: 0.7626 loss_thr: 0.4492 loss_db: 0.1315 2022/12/19 21:00:04 - mmengine - INFO - Epoch(train) [151][50/79] lr: 6.2067e-03 eta: 5:21:41 time: 0.2109 data_time: 0.0010 memory: 1833 loss: 1.5266 loss_prob: 0.8920 loss_thr: 0.4846 loss_db: 0.1499 2022/12/19 21:00:06 - mmengine - INFO - Epoch(train) [151][55/79] lr: 6.2067e-03 eta: 5:21:39 time: 0.2050 data_time: 0.0009 memory: 1833 loss: 1.6708 loss_prob: 0.9774 loss_thr: 0.5291 loss_db: 0.1643 2022/12/19 21:00:06 - mmengine - INFO - Epoch(train) [151][60/79] lr: 6.2067e-03 eta: 5:21:37 time: 0.2022 data_time: 0.0007 memory: 1833 loss: 1.5230 loss_prob: 0.8669 loss_thr: 0.5071 loss_db: 0.1490 2022/12/19 21:00:08 - mmengine - INFO - Epoch(train) [151][65/79] lr: 6.2067e-03 eta: 5:21:35 time: 0.2072 data_time: 0.0007 memory: 1833 loss: 1.3073 loss_prob: 0.7230 loss_thr: 0.4591 loss_db: 0.1252 2022/12/19 21:00:09 - mmengine - INFO - Epoch(train) [151][70/79] lr: 6.2067e-03 eta: 5:21:33 time: 0.2096 data_time: 0.0008 memory: 1833 loss: 1.3355 loss_prob: 0.7383 loss_thr: 0.4685 loss_db: 0.1286 2022/12/19 21:00:10 - mmengine - INFO - Epoch(train) [151][75/79] lr: 6.2067e-03 eta: 5:21:33 time: 0.2269 data_time: 0.0007 memory: 1833 loss: 1.3875 loss_prob: 0.7773 loss_thr: 0.4765 loss_db: 0.1337 2022/12/19 21:00:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:00:13 - mmengine - INFO - Epoch(train) [152][5/79] lr: 6.2014e-03 eta: 5:21:38 time: 0.3491 data_time: 0.1492 memory: 1833 loss: 1.4054 loss_prob: 0.7765 loss_thr: 0.4949 loss_db: 0.1339 2022/12/19 21:00:14 - mmengine - INFO - Epoch(train) [152][10/79] lr: 6.2014e-03 eta: 5:21:36 time: 0.3573 data_time: 0.1492 memory: 1833 loss: 1.4876 loss_prob: 0.8488 loss_thr: 0.4941 loss_db: 0.1448 2022/12/19 21:00:16 - mmengine - INFO - Epoch(train) [152][15/79] lr: 6.2014e-03 eta: 5:21:37 time: 0.2423 data_time: 0.0008 memory: 1833 loss: 1.3673 loss_prob: 0.7664 loss_thr: 0.4696 loss_db: 0.1313 2022/12/19 21:00:17 - mmengine - INFO - Epoch(train) [152][20/79] lr: 6.2014e-03 eta: 5:21:34 time: 0.2412 data_time: 0.0008 memory: 1833 loss: 1.4292 loss_prob: 0.8129 loss_thr: 0.4790 loss_db: 0.1373 2022/12/19 21:00:18 - mmengine - INFO - Epoch(train) [152][25/79] lr: 6.2014e-03 eta: 5:21:33 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 1.5270 loss_prob: 0.8856 loss_thr: 0.4919 loss_db: 0.1494 2022/12/19 21:00:20 - mmengine - INFO - Epoch(train) [152][30/79] lr: 6.2014e-03 eta: 5:21:37 time: 0.2982 data_time: 0.0009 memory: 1833 loss: 1.4250 loss_prob: 0.7933 loss_thr: 0.4958 loss_db: 0.1360 2022/12/19 21:00:21 - mmengine - INFO - Epoch(train) [152][35/79] lr: 6.2014e-03 eta: 5:21:35 time: 0.2919 data_time: 0.0009 memory: 1833 loss: 1.3678 loss_prob: 0.7509 loss_thr: 0.4866 loss_db: 0.1303 2022/12/19 21:00:22 - mmengine - INFO - Epoch(train) [152][40/79] lr: 6.2014e-03 eta: 5:21:34 time: 0.2224 data_time: 0.0008 memory: 1833 loss: 1.4454 loss_prob: 0.8008 loss_thr: 0.5047 loss_db: 0.1399 2022/12/19 21:00:23 - mmengine - INFO - Epoch(train) [152][45/79] lr: 6.2014e-03 eta: 5:21:32 time: 0.2218 data_time: 0.0008 memory: 1833 loss: 1.4878 loss_prob: 0.8335 loss_thr: 0.5063 loss_db: 0.1479 2022/12/19 21:00:24 - mmengine - INFO - Epoch(train) [152][50/79] lr: 6.2014e-03 eta: 5:21:29 time: 0.1964 data_time: 0.0007 memory: 1833 loss: 1.3848 loss_prob: 0.7870 loss_thr: 0.4583 loss_db: 0.1395 2022/12/19 21:00:25 - mmengine - INFO - Epoch(train) [152][55/79] lr: 6.2014e-03 eta: 5:21:26 time: 0.1896 data_time: 0.0007 memory: 1833 loss: 1.4054 loss_prob: 0.8063 loss_thr: 0.4580 loss_db: 0.1411 2022/12/19 21:00:26 - mmengine - INFO - Epoch(train) [152][60/79] lr: 6.2014e-03 eta: 5:21:23 time: 0.1902 data_time: 0.0007 memory: 1833 loss: 1.3886 loss_prob: 0.7937 loss_thr: 0.4566 loss_db: 0.1382 2022/12/19 21:00:27 - mmengine - INFO - Epoch(train) [152][65/79] lr: 6.2014e-03 eta: 5:21:21 time: 0.1843 data_time: 0.0007 memory: 1833 loss: 1.3231 loss_prob: 0.7304 loss_thr: 0.4676 loss_db: 0.1250 2022/12/19 21:00:28 - mmengine - INFO - Epoch(train) [152][70/79] lr: 6.2014e-03 eta: 5:21:19 time: 0.2049 data_time: 0.0007 memory: 1833 loss: 1.4349 loss_prob: 0.7910 loss_thr: 0.5080 loss_db: 0.1358 2022/12/19 21:00:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:00:29 - mmengine - INFO - Epoch(train) [152][75/79] lr: 6.2014e-03 eta: 5:21:18 time: 0.2216 data_time: 0.0007 memory: 1833 loss: 1.3987 loss_prob: 0.7841 loss_thr: 0.4774 loss_db: 0.1372 2022/12/19 21:00:29 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:00:32 - mmengine - INFO - Epoch(train) [153][5/79] lr: 6.1960e-03 eta: 5:21:20 time: 0.2978 data_time: 0.0341 memory: 1833 loss: 1.6342 loss_prob: 0.9383 loss_thr: 0.5332 loss_db: 0.1627 2022/12/19 21:00:32 - mmengine - INFO - Epoch(train) [153][10/79] lr: 6.1960e-03 eta: 5:21:18 time: 0.3026 data_time: 0.0342 memory: 1833 loss: 1.6322 loss_prob: 0.9280 loss_thr: 0.5473 loss_db: 0.1569 2022/12/19 21:00:34 - mmengine - INFO - Epoch(train) [153][15/79] lr: 6.1960e-03 eta: 5:21:17 time: 0.2184 data_time: 0.0009 memory: 1833 loss: 1.5791 loss_prob: 0.8886 loss_thr: 0.5377 loss_db: 0.1528 2022/12/19 21:00:35 - mmengine - INFO - Epoch(train) [153][20/79] lr: 6.1960e-03 eta: 5:21:17 time: 0.2639 data_time: 0.0009 memory: 1833 loss: 1.6282 loss_prob: 0.9439 loss_thr: 0.5263 loss_db: 0.1580 2022/12/19 21:00:36 - mmengine - INFO - Epoch(train) [153][25/79] lr: 6.1960e-03 eta: 5:21:16 time: 0.2547 data_time: 0.0010 memory: 1833 loss: 1.6125 loss_prob: 0.9499 loss_thr: 0.5044 loss_db: 0.1582 2022/12/19 21:00:37 - mmengine - INFO - Epoch(train) [153][30/79] lr: 6.1960e-03 eta: 5:21:14 time: 0.2134 data_time: 0.0009 memory: 1833 loss: 1.4320 loss_prob: 0.8235 loss_thr: 0.4653 loss_db: 0.1431 2022/12/19 21:00:38 - mmengine - INFO - Epoch(train) [153][35/79] lr: 6.1960e-03 eta: 5:21:13 time: 0.2216 data_time: 0.0009 memory: 1833 loss: 1.4054 loss_prob: 0.7963 loss_thr: 0.4691 loss_db: 0.1400 2022/12/19 21:00:40 - mmengine - INFO - Epoch(train) [153][40/79] lr: 6.1960e-03 eta: 5:21:12 time: 0.2356 data_time: 0.0008 memory: 1833 loss: 1.4044 loss_prob: 0.7801 loss_thr: 0.4886 loss_db: 0.1358 2022/12/19 21:00:41 - mmengine - INFO - Epoch(train) [153][45/79] lr: 6.1960e-03 eta: 5:21:10 time: 0.2192 data_time: 0.0008 memory: 1833 loss: 1.3668 loss_prob: 0.7556 loss_thr: 0.4833 loss_db: 0.1279 2022/12/19 21:00:42 - mmengine - INFO - Epoch(train) [153][50/79] lr: 6.1960e-03 eta: 5:21:08 time: 0.2210 data_time: 0.0007 memory: 1833 loss: 1.3698 loss_prob: 0.7666 loss_thr: 0.4729 loss_db: 0.1303 2022/12/19 21:00:43 - mmengine - INFO - Epoch(train) [153][55/79] lr: 6.1960e-03 eta: 5:21:05 time: 0.1996 data_time: 0.0007 memory: 1833 loss: 1.5092 loss_prob: 0.8593 loss_thr: 0.5023 loss_db: 0.1476 2022/12/19 21:00:44 - mmengine - INFO - Epoch(train) [153][60/79] lr: 6.1960e-03 eta: 5:21:03 time: 0.1893 data_time: 0.0007 memory: 1833 loss: 1.5803 loss_prob: 0.9116 loss_thr: 0.5136 loss_db: 0.1551 2022/12/19 21:00:45 - mmengine - INFO - Epoch(train) [153][65/79] lr: 6.1960e-03 eta: 5:21:01 time: 0.2136 data_time: 0.0007 memory: 1833 loss: 1.5060 loss_prob: 0.8546 loss_thr: 0.5037 loss_db: 0.1477 2022/12/19 21:00:46 - mmengine - INFO - Epoch(train) [153][70/79] lr: 6.1960e-03 eta: 5:21:00 time: 0.2252 data_time: 0.0008 memory: 1833 loss: 1.6110 loss_prob: 0.9322 loss_thr: 0.5189 loss_db: 0.1600 2022/12/19 21:00:47 - mmengine - INFO - Epoch(train) [153][75/79] lr: 6.1960e-03 eta: 5:21:00 time: 0.2478 data_time: 0.0008 memory: 1833 loss: 1.8339 loss_prob: 1.1007 loss_thr: 0.5569 loss_db: 0.1762 2022/12/19 21:00:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:00:50 - mmengine - INFO - Epoch(train) [154][5/79] lr: 6.1907e-03 eta: 5:21:00 time: 0.2658 data_time: 0.0437 memory: 1833 loss: 1.4078 loss_prob: 0.7964 loss_thr: 0.4692 loss_db: 0.1423 2022/12/19 21:00:51 - mmengine - INFO - Epoch(train) [154][10/79] lr: 6.1907e-03 eta: 5:21:00 time: 0.3036 data_time: 0.0439 memory: 1833 loss: 1.3886 loss_prob: 0.7764 loss_thr: 0.4758 loss_db: 0.1363 2022/12/19 21:00:52 - mmengine - INFO - Epoch(train) [154][15/79] lr: 6.1907e-03 eta: 5:20:59 time: 0.2397 data_time: 0.0010 memory: 1833 loss: 1.5145 loss_prob: 0.8568 loss_thr: 0.5055 loss_db: 0.1522 2022/12/19 21:00:53 - mmengine - INFO - Epoch(train) [154][20/79] lr: 6.1907e-03 eta: 5:20:56 time: 0.2113 data_time: 0.0008 memory: 1833 loss: 1.5774 loss_prob: 0.9025 loss_thr: 0.5186 loss_db: 0.1563 2022/12/19 21:00:54 - mmengine - INFO - Epoch(train) [154][25/79] lr: 6.1907e-03 eta: 5:20:54 time: 0.1977 data_time: 0.0007 memory: 1833 loss: 1.4513 loss_prob: 0.8243 loss_thr: 0.4872 loss_db: 0.1397 2022/12/19 21:00:55 - mmengine - INFO - Epoch(train) [154][30/79] lr: 6.1907e-03 eta: 5:20:52 time: 0.1993 data_time: 0.0008 memory: 1833 loss: 1.3353 loss_prob: 0.7388 loss_thr: 0.4695 loss_db: 0.1270 2022/12/19 21:00:56 - mmengine - INFO - Epoch(train) [154][35/79] lr: 6.1907e-03 eta: 5:20:50 time: 0.2067 data_time: 0.0008 memory: 1833 loss: 1.2828 loss_prob: 0.7147 loss_thr: 0.4429 loss_db: 0.1252 2022/12/19 21:00:58 - mmengine - INFO - Epoch(train) [154][40/79] lr: 6.1907e-03 eta: 5:20:50 time: 0.2373 data_time: 0.0008 memory: 1833 loss: 1.4366 loss_prob: 0.8157 loss_thr: 0.4783 loss_db: 0.1426 2022/12/19 21:00:59 - mmengine - INFO - Epoch(train) [154][45/79] lr: 6.1907e-03 eta: 5:20:49 time: 0.2529 data_time: 0.0007 memory: 1833 loss: 1.5103 loss_prob: 0.8498 loss_thr: 0.5135 loss_db: 0.1470 2022/12/19 21:01:00 - mmengine - INFO - Epoch(train) [154][50/79] lr: 6.1907e-03 eta: 5:20:48 time: 0.2377 data_time: 0.0007 memory: 1833 loss: 1.4139 loss_prob: 0.7826 loss_thr: 0.4949 loss_db: 0.1364 2022/12/19 21:01:01 - mmengine - INFO - Epoch(train) [154][55/79] lr: 6.1907e-03 eta: 5:20:45 time: 0.2133 data_time: 0.0007 memory: 1833 loss: 1.4086 loss_prob: 0.7758 loss_thr: 0.4968 loss_db: 0.1360 2022/12/19 21:01:02 - mmengine - INFO - Epoch(train) [154][60/79] lr: 6.1907e-03 eta: 5:20:43 time: 0.1965 data_time: 0.0007 memory: 1833 loss: 1.4250 loss_prob: 0.7979 loss_thr: 0.4883 loss_db: 0.1388 2022/12/19 21:01:03 - mmengine - INFO - Epoch(train) [154][65/79] lr: 6.1907e-03 eta: 5:20:41 time: 0.2134 data_time: 0.0007 memory: 1833 loss: 1.4939 loss_prob: 0.8517 loss_thr: 0.4955 loss_db: 0.1467 2022/12/19 21:01:04 - mmengine - INFO - Epoch(train) [154][70/79] lr: 6.1907e-03 eta: 5:20:41 time: 0.2353 data_time: 0.0006 memory: 1833 loss: 1.6478 loss_prob: 0.9464 loss_thr: 0.5383 loss_db: 0.1632 2022/12/19 21:01:05 - mmengine - INFO - Epoch(train) [154][75/79] lr: 6.1907e-03 eta: 5:20:38 time: 0.2194 data_time: 0.0007 memory: 1833 loss: 1.7558 loss_prob: 1.0236 loss_thr: 0.5577 loss_db: 0.1744 2022/12/19 21:01:06 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:01:08 - mmengine - INFO - Epoch(train) [155][5/79] lr: 6.1854e-03 eta: 5:20:42 time: 0.3186 data_time: 0.0420 memory: 1833 loss: 1.5820 loss_prob: 0.9119 loss_thr: 0.5109 loss_db: 0.1592 2022/12/19 21:01:09 - mmengine - INFO - Epoch(train) [155][10/79] lr: 6.1854e-03 eta: 5:20:41 time: 0.3354 data_time: 0.0420 memory: 1833 loss: 1.4873 loss_prob: 0.8445 loss_thr: 0.4944 loss_db: 0.1484 2022/12/19 21:01:10 - mmengine - INFO - Epoch(train) [155][15/79] lr: 6.1854e-03 eta: 5:20:38 time: 0.2131 data_time: 0.0008 memory: 1833 loss: 1.3806 loss_prob: 0.7656 loss_thr: 0.4800 loss_db: 0.1350 2022/12/19 21:01:11 - mmengine - INFO - Epoch(train) [155][20/79] lr: 6.1854e-03 eta: 5:20:37 time: 0.2108 data_time: 0.0008 memory: 1833 loss: 1.3992 loss_prob: 0.7945 loss_thr: 0.4676 loss_db: 0.1370 2022/12/19 21:01:13 - mmengine - INFO - Epoch(train) [155][25/79] lr: 6.1854e-03 eta: 5:20:38 time: 0.2564 data_time: 0.0008 memory: 1833 loss: 1.3221 loss_prob: 0.7351 loss_thr: 0.4587 loss_db: 0.1284 2022/12/19 21:01:14 - mmengine - INFO - Epoch(train) [155][30/79] lr: 6.1854e-03 eta: 5:20:35 time: 0.2391 data_time: 0.0008 memory: 1833 loss: 1.3746 loss_prob: 0.7674 loss_thr: 0.4733 loss_db: 0.1340 2022/12/19 21:01:15 - mmengine - INFO - Epoch(train) [155][35/79] lr: 6.1854e-03 eta: 5:20:33 time: 0.1970 data_time: 0.0008 memory: 1833 loss: 1.5310 loss_prob: 0.8779 loss_thr: 0.5015 loss_db: 0.1516 2022/12/19 21:01:16 - mmengine - INFO - Epoch(train) [155][40/79] lr: 6.1854e-03 eta: 5:20:31 time: 0.2013 data_time: 0.0007 memory: 1833 loss: 1.4650 loss_prob: 0.8392 loss_thr: 0.4805 loss_db: 0.1453 2022/12/19 21:01:17 - mmengine - INFO - Epoch(train) [155][45/79] lr: 6.1854e-03 eta: 5:20:28 time: 0.2020 data_time: 0.0007 memory: 1833 loss: 1.4568 loss_prob: 0.8209 loss_thr: 0.4965 loss_db: 0.1394 2022/12/19 21:01:18 - mmengine - INFO - Epoch(train) [155][50/79] lr: 6.1854e-03 eta: 5:20:26 time: 0.1966 data_time: 0.0007 memory: 1833 loss: 1.4757 loss_prob: 0.8245 loss_thr: 0.5102 loss_db: 0.1410 2022/12/19 21:01:19 - mmengine - INFO - Epoch(train) [155][55/79] lr: 6.1854e-03 eta: 5:20:25 time: 0.2112 data_time: 0.0008 memory: 1833 loss: 1.5135 loss_prob: 0.8697 loss_thr: 0.4954 loss_db: 0.1485 2022/12/19 21:01:20 - mmengine - INFO - Epoch(train) [155][60/79] lr: 6.1854e-03 eta: 5:20:22 time: 0.2124 data_time: 0.0008 memory: 1833 loss: 1.4719 loss_prob: 0.8420 loss_thr: 0.4856 loss_db: 0.1444 2022/12/19 21:01:21 - mmengine - INFO - Epoch(train) [155][65/79] lr: 6.1854e-03 eta: 5:20:20 time: 0.1965 data_time: 0.0007 memory: 1833 loss: 1.4051 loss_prob: 0.7839 loss_thr: 0.4852 loss_db: 0.1360 2022/12/19 21:01:22 - mmengine - INFO - Epoch(train) [155][70/79] lr: 6.1854e-03 eta: 5:20:17 time: 0.1969 data_time: 0.0007 memory: 1833 loss: 1.4623 loss_prob: 0.8211 loss_thr: 0.4995 loss_db: 0.1416 2022/12/19 21:01:23 - mmengine - INFO - Epoch(train) [155][75/79] lr: 6.1854e-03 eta: 5:20:15 time: 0.1960 data_time: 0.0007 memory: 1833 loss: 1.6268 loss_prob: 0.9424 loss_thr: 0.5237 loss_db: 0.1607 2022/12/19 21:01:24 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:01:25 - mmengine - INFO - Epoch(train) [156][5/79] lr: 6.1801e-03 eta: 5:20:16 time: 0.2767 data_time: 0.0349 memory: 1833 loss: 1.6149 loss_prob: 0.9031 loss_thr: 0.5617 loss_db: 0.1501 2022/12/19 21:01:27 - mmengine - INFO - Epoch(train) [156][10/79] lr: 6.1801e-03 eta: 5:20:16 time: 0.3121 data_time: 0.0350 memory: 1833 loss: 1.3551 loss_prob: 0.7470 loss_thr: 0.4797 loss_db: 0.1285 2022/12/19 21:01:28 - mmengine - INFO - Epoch(train) [156][15/79] lr: 6.1801e-03 eta: 5:20:15 time: 0.2465 data_time: 0.0008 memory: 1833 loss: 1.6060 loss_prob: 0.9513 loss_thr: 0.4982 loss_db: 0.1565 2022/12/19 21:01:29 - mmengine - INFO - Epoch(train) [156][20/79] lr: 6.1801e-03 eta: 5:20:13 time: 0.2294 data_time: 0.0008 memory: 1833 loss: 1.7824 loss_prob: 1.0712 loss_thr: 0.5345 loss_db: 0.1766 2022/12/19 21:01:30 - mmengine - INFO - Epoch(train) [156][25/79] lr: 6.1801e-03 eta: 5:20:11 time: 0.2135 data_time: 0.0009 memory: 1833 loss: 1.6057 loss_prob: 0.9305 loss_thr: 0.5141 loss_db: 0.1611 2022/12/19 21:01:31 - mmengine - INFO - Epoch(train) [156][30/79] lr: 6.1801e-03 eta: 5:20:09 time: 0.2087 data_time: 0.0008 memory: 1833 loss: 1.4526 loss_prob: 0.8225 loss_thr: 0.4869 loss_db: 0.1432 2022/12/19 21:01:32 - mmengine - INFO - Epoch(train) [156][35/79] lr: 6.1801e-03 eta: 5:20:07 time: 0.2105 data_time: 0.0008 memory: 1833 loss: 1.3255 loss_prob: 0.7400 loss_thr: 0.4571 loss_db: 0.1285 2022/12/19 21:01:33 - mmengine - INFO - Epoch(train) [156][40/79] lr: 6.1801e-03 eta: 5:20:07 time: 0.2316 data_time: 0.0008 memory: 1833 loss: 1.4253 loss_prob: 0.8025 loss_thr: 0.4838 loss_db: 0.1390 2022/12/19 21:01:35 - mmengine - INFO - Epoch(train) [156][45/79] lr: 6.1801e-03 eta: 5:20:06 time: 0.2408 data_time: 0.0008 memory: 1833 loss: 1.6391 loss_prob: 0.9427 loss_thr: 0.5345 loss_db: 0.1618 2022/12/19 21:01:36 - mmengine - INFO - Epoch(train) [156][50/79] lr: 6.1801e-03 eta: 5:20:06 time: 0.2568 data_time: 0.0009 memory: 1833 loss: 1.6215 loss_prob: 0.9332 loss_thr: 0.5287 loss_db: 0.1596 2022/12/19 21:01:37 - mmengine - INFO - Epoch(train) [156][55/79] lr: 6.1801e-03 eta: 5:20:04 time: 0.2383 data_time: 0.0008 memory: 1833 loss: 1.4544 loss_prob: 0.8165 loss_thr: 0.4973 loss_db: 0.1406 2022/12/19 21:01:38 - mmengine - INFO - Epoch(train) [156][60/79] lr: 6.1801e-03 eta: 5:20:02 time: 0.2120 data_time: 0.0007 memory: 1833 loss: 1.4405 loss_prob: 0.7963 loss_thr: 0.5062 loss_db: 0.1380 2022/12/19 21:01:39 - mmengine - INFO - Epoch(train) [156][65/79] lr: 6.1801e-03 eta: 5:20:00 time: 0.2054 data_time: 0.0007 memory: 1833 loss: 1.4872 loss_prob: 0.8387 loss_thr: 0.5046 loss_db: 0.1439 2022/12/19 21:01:40 - mmengine - INFO - Epoch(train) [156][70/79] lr: 6.1801e-03 eta: 5:19:57 time: 0.1931 data_time: 0.0009 memory: 1833 loss: 1.4773 loss_prob: 0.8384 loss_thr: 0.4961 loss_db: 0.1428 2022/12/19 21:01:41 - mmengine - INFO - Epoch(train) [156][75/79] lr: 6.1801e-03 eta: 5:19:57 time: 0.2266 data_time: 0.0009 memory: 1833 loss: 1.4563 loss_prob: 0.8144 loss_thr: 0.5032 loss_db: 0.1388 2022/12/19 21:01:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:01:44 - mmengine - INFO - Epoch(train) [157][5/79] lr: 6.1747e-03 eta: 5:19:57 time: 0.2843 data_time: 0.0314 memory: 1833 loss: 1.4962 loss_prob: 0.8663 loss_thr: 0.4838 loss_db: 0.1462 2022/12/19 21:01:45 - mmengine - INFO - Epoch(train) [157][10/79] lr: 6.1747e-03 eta: 5:19:55 time: 0.2865 data_time: 0.0315 memory: 1833 loss: 1.4546 loss_prob: 0.8267 loss_thr: 0.4854 loss_db: 0.1425 2022/12/19 21:01:46 - mmengine - INFO - Epoch(train) [157][15/79] lr: 6.1747e-03 eta: 5:19:53 time: 0.2101 data_time: 0.0009 memory: 1833 loss: 1.5053 loss_prob: 0.8528 loss_thr: 0.5030 loss_db: 0.1495 2022/12/19 21:01:47 - mmengine - INFO - Epoch(train) [157][20/79] lr: 6.1747e-03 eta: 5:19:51 time: 0.2065 data_time: 0.0009 memory: 1833 loss: 1.5085 loss_prob: 0.8636 loss_thr: 0.4940 loss_db: 0.1509 2022/12/19 21:01:48 - mmengine - INFO - Epoch(train) [157][25/79] lr: 6.1747e-03 eta: 5:19:50 time: 0.2352 data_time: 0.0008 memory: 1833 loss: 1.4355 loss_prob: 0.8210 loss_thr: 0.4709 loss_db: 0.1436 2022/12/19 21:01:49 - mmengine - INFO - Epoch(train) [157][30/79] lr: 6.1747e-03 eta: 5:19:50 time: 0.2416 data_time: 0.0008 memory: 1833 loss: 1.3823 loss_prob: 0.7822 loss_thr: 0.4652 loss_db: 0.1349 2022/12/19 21:01:51 - mmengine - INFO - Epoch(train) [157][35/79] lr: 6.1747e-03 eta: 5:19:50 time: 0.2528 data_time: 0.0008 memory: 1833 loss: 1.3543 loss_prob: 0.7715 loss_thr: 0.4505 loss_db: 0.1322 2022/12/19 21:01:52 - mmengine - INFO - Epoch(train) [157][40/79] lr: 6.1747e-03 eta: 5:19:50 time: 0.2695 data_time: 0.0008 memory: 1833 loss: 1.3761 loss_prob: 0.7820 loss_thr: 0.4615 loss_db: 0.1326 2022/12/19 21:01:53 - mmengine - INFO - Epoch(train) [157][45/79] lr: 6.1747e-03 eta: 5:19:48 time: 0.2410 data_time: 0.0009 memory: 1833 loss: 1.4567 loss_prob: 0.8245 loss_thr: 0.4915 loss_db: 0.1407 2022/12/19 21:01:54 - mmengine - INFO - Epoch(train) [157][50/79] lr: 6.1747e-03 eta: 5:19:46 time: 0.2148 data_time: 0.0009 memory: 1833 loss: 1.5072 loss_prob: 0.8591 loss_thr: 0.4996 loss_db: 0.1485 2022/12/19 21:01:55 - mmengine - INFO - Epoch(train) [157][55/79] lr: 6.1747e-03 eta: 5:19:44 time: 0.2171 data_time: 0.0008 memory: 1833 loss: 1.5074 loss_prob: 0.8529 loss_thr: 0.5094 loss_db: 0.1450 2022/12/19 21:01:56 - mmengine - INFO - Epoch(train) [157][60/79] lr: 6.1747e-03 eta: 5:19:42 time: 0.2091 data_time: 0.0007 memory: 1833 loss: 1.3465 loss_prob: 0.7497 loss_thr: 0.4693 loss_db: 0.1275 2022/12/19 21:01:57 - mmengine - INFO - Epoch(train) [157][65/79] lr: 6.1747e-03 eta: 5:19:40 time: 0.1990 data_time: 0.0007 memory: 1833 loss: 1.3001 loss_prob: 0.7213 loss_thr: 0.4567 loss_db: 0.1220 2022/12/19 21:01:58 - mmengine - INFO - Epoch(train) [157][70/79] lr: 6.1747e-03 eta: 5:19:38 time: 0.2036 data_time: 0.0007 memory: 1833 loss: 1.4069 loss_prob: 0.7937 loss_thr: 0.4763 loss_db: 0.1369 2022/12/19 21:01:59 - mmengine - INFO - Epoch(train) [157][75/79] lr: 6.1747e-03 eta: 5:19:36 time: 0.2038 data_time: 0.0007 memory: 1833 loss: 1.4714 loss_prob: 0.8310 loss_thr: 0.4965 loss_db: 0.1439 2022/12/19 21:02:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:02:02 - mmengine - INFO - Epoch(train) [158][5/79] lr: 6.1694e-03 eta: 5:19:39 time: 0.3071 data_time: 0.0955 memory: 1833 loss: 1.4205 loss_prob: 0.8200 loss_thr: 0.4619 loss_db: 0.1386 2022/12/19 21:02:03 - mmengine - INFO - Epoch(train) [158][10/79] lr: 6.1694e-03 eta: 5:19:38 time: 0.3307 data_time: 0.0955 memory: 1833 loss: 1.2347 loss_prob: 0.6875 loss_thr: 0.4276 loss_db: 0.1196 2022/12/19 21:02:04 - mmengine - INFO - Epoch(train) [158][15/79] lr: 6.1694e-03 eta: 5:19:36 time: 0.2357 data_time: 0.0008 memory: 1833 loss: 1.3950 loss_prob: 0.7796 loss_thr: 0.4795 loss_db: 0.1359 2022/12/19 21:02:06 - mmengine - INFO - Epoch(train) [158][20/79] lr: 6.1694e-03 eta: 5:19:35 time: 0.2245 data_time: 0.0008 memory: 1833 loss: 1.5670 loss_prob: 0.8879 loss_thr: 0.5261 loss_db: 0.1530 2022/12/19 21:02:07 - mmengine - INFO - Epoch(train) [158][25/79] lr: 6.1694e-03 eta: 5:19:34 time: 0.2243 data_time: 0.0008 memory: 1833 loss: 1.5688 loss_prob: 0.8880 loss_thr: 0.5313 loss_db: 0.1494 2022/12/19 21:02:08 - mmengine - INFO - Epoch(train) [158][30/79] lr: 6.1694e-03 eta: 5:19:33 time: 0.2462 data_time: 0.0009 memory: 1833 loss: 1.4999 loss_prob: 0.8431 loss_thr: 0.5135 loss_db: 0.1432 2022/12/19 21:02:09 - mmengine - INFO - Epoch(train) [158][35/79] lr: 6.1694e-03 eta: 5:19:32 time: 0.2500 data_time: 0.0010 memory: 1833 loss: 1.4702 loss_prob: 0.8343 loss_thr: 0.4913 loss_db: 0.1446 2022/12/19 21:02:10 - mmengine - INFO - Epoch(train) [158][40/79] lr: 6.1694e-03 eta: 5:19:30 time: 0.2240 data_time: 0.0009 memory: 1833 loss: 1.5301 loss_prob: 0.8793 loss_thr: 0.5011 loss_db: 0.1497 2022/12/19 21:02:11 - mmengine - INFO - Epoch(train) [158][45/79] lr: 6.1694e-03 eta: 5:19:29 time: 0.2203 data_time: 0.0008 memory: 1833 loss: 1.6258 loss_prob: 0.9326 loss_thr: 0.5328 loss_db: 0.1605 2022/12/19 21:02:13 - mmengine - INFO - Epoch(train) [158][50/79] lr: 6.1694e-03 eta: 5:19:28 time: 0.2321 data_time: 0.0008 memory: 1833 loss: 1.4606 loss_prob: 0.8057 loss_thr: 0.5144 loss_db: 0.1404 2022/12/19 21:02:14 - mmengine - INFO - Epoch(train) [158][55/79] lr: 6.1694e-03 eta: 5:19:26 time: 0.2258 data_time: 0.0008 memory: 1833 loss: 1.4269 loss_prob: 0.7854 loss_thr: 0.5054 loss_db: 0.1361 2022/12/19 21:02:15 - mmengine - INFO - Epoch(train) [158][60/79] lr: 6.1694e-03 eta: 5:19:25 time: 0.2155 data_time: 0.0007 memory: 1833 loss: 1.5068 loss_prob: 0.8485 loss_thr: 0.5089 loss_db: 0.1494 2022/12/19 21:02:16 - mmengine - INFO - Epoch(train) [158][65/79] lr: 6.1694e-03 eta: 5:19:23 time: 0.2130 data_time: 0.0007 memory: 1833 loss: 1.6947 loss_prob: 0.9719 loss_thr: 0.5588 loss_db: 0.1640 2022/12/19 21:02:17 - mmengine - INFO - Epoch(train) [158][70/79] lr: 6.1694e-03 eta: 5:19:21 time: 0.2064 data_time: 0.0007 memory: 1833 loss: 1.6535 loss_prob: 0.9456 loss_thr: 0.5477 loss_db: 0.1602 2022/12/19 21:02:18 - mmengine - INFO - Epoch(train) [158][75/79] lr: 6.1694e-03 eta: 5:19:19 time: 0.2133 data_time: 0.0008 memory: 1833 loss: 1.5345 loss_prob: 0.8841 loss_thr: 0.4974 loss_db: 0.1530 2022/12/19 21:02:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:02:21 - mmengine - INFO - Epoch(train) [159][5/79] lr: 6.1641e-03 eta: 5:19:20 time: 0.2792 data_time: 0.0287 memory: 1833 loss: 1.5773 loss_prob: 0.9140 loss_thr: 0.5063 loss_db: 0.1570 2022/12/19 21:02:22 - mmengine - INFO - Epoch(train) [159][10/79] lr: 6.1641e-03 eta: 5:19:18 time: 0.2912 data_time: 0.0288 memory: 1833 loss: 1.6555 loss_prob: 0.9428 loss_thr: 0.5505 loss_db: 0.1621 2022/12/19 21:02:23 - mmengine - INFO - Epoch(train) [159][15/79] lr: 6.1641e-03 eta: 5:19:16 time: 0.1983 data_time: 0.0008 memory: 1833 loss: 1.5749 loss_prob: 0.8846 loss_thr: 0.5407 loss_db: 0.1496 2022/12/19 21:02:24 - mmengine - INFO - Epoch(train) [159][20/79] lr: 6.1641e-03 eta: 5:19:16 time: 0.2376 data_time: 0.0009 memory: 1833 loss: 1.4364 loss_prob: 0.8181 loss_thr: 0.4788 loss_db: 0.1395 2022/12/19 21:02:25 - mmengine - INFO - Epoch(train) [159][25/79] lr: 6.1641e-03 eta: 5:19:15 time: 0.2553 data_time: 0.0009 memory: 1833 loss: 1.3397 loss_prob: 0.7520 loss_thr: 0.4573 loss_db: 0.1304 2022/12/19 21:02:26 - mmengine - INFO - Epoch(train) [159][30/79] lr: 6.1641e-03 eta: 5:19:13 time: 0.2246 data_time: 0.0008 memory: 1833 loss: 1.3391 loss_prob: 0.7379 loss_thr: 0.4728 loss_db: 0.1285 2022/12/19 21:02:27 - mmengine - INFO - Epoch(train) [159][35/79] lr: 6.1641e-03 eta: 5:19:12 time: 0.2263 data_time: 0.0008 memory: 1833 loss: 1.4215 loss_prob: 0.7914 loss_thr: 0.4892 loss_db: 0.1409 2022/12/19 21:02:28 - mmengine - INFO - Epoch(train) [159][40/79] lr: 6.1641e-03 eta: 5:19:10 time: 0.2203 data_time: 0.0008 memory: 1833 loss: 1.3433 loss_prob: 0.7492 loss_thr: 0.4619 loss_db: 0.1322 2022/12/19 21:02:30 - mmengine - INFO - Epoch(train) [159][45/79] lr: 6.1641e-03 eta: 5:19:10 time: 0.2378 data_time: 0.0008 memory: 1833 loss: 1.3141 loss_prob: 0.7307 loss_thr: 0.4576 loss_db: 0.1258 2022/12/19 21:02:31 - mmengine - INFO - Epoch(train) [159][50/79] lr: 6.1641e-03 eta: 5:19:08 time: 0.2398 data_time: 0.0007 memory: 1833 loss: 1.3757 loss_prob: 0.7598 loss_thr: 0.4831 loss_db: 0.1328 2022/12/19 21:02:32 - mmengine - INFO - Epoch(train) [159][55/79] lr: 6.1641e-03 eta: 5:19:07 time: 0.2198 data_time: 0.0007 memory: 1833 loss: 1.4555 loss_prob: 0.8192 loss_thr: 0.4954 loss_db: 0.1409 2022/12/19 21:02:33 - mmengine - INFO - Epoch(train) [159][60/79] lr: 6.1641e-03 eta: 5:19:05 time: 0.2196 data_time: 0.0007 memory: 1833 loss: 1.5839 loss_prob: 0.9085 loss_thr: 0.5241 loss_db: 0.1514 2022/12/19 21:02:34 - mmengine - INFO - Epoch(train) [159][65/79] lr: 6.1641e-03 eta: 5:19:03 time: 0.2060 data_time: 0.0007 memory: 1833 loss: 1.5548 loss_prob: 0.8875 loss_thr: 0.5167 loss_db: 0.1506 2022/12/19 21:02:35 - mmengine - INFO - Epoch(train) [159][70/79] lr: 6.1641e-03 eta: 5:19:02 time: 0.2185 data_time: 0.0007 memory: 1833 loss: 1.4250 loss_prob: 0.8028 loss_thr: 0.4824 loss_db: 0.1399 2022/12/19 21:02:36 - mmengine - INFO - Epoch(train) [159][75/79] lr: 6.1641e-03 eta: 5:19:00 time: 0.2200 data_time: 0.0006 memory: 1833 loss: 1.3830 loss_prob: 0.7792 loss_thr: 0.4695 loss_db: 0.1343 2022/12/19 21:02:37 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:02:39 - mmengine - INFO - Epoch(train) [160][5/79] lr: 6.1587e-03 eta: 5:19:00 time: 0.2627 data_time: 0.0406 memory: 1833 loss: 1.6022 loss_prob: 0.9292 loss_thr: 0.5154 loss_db: 0.1575 2022/12/19 21:02:40 - mmengine - INFO - Epoch(train) [160][10/79] lr: 6.1587e-03 eta: 5:19:01 time: 0.3203 data_time: 0.0407 memory: 1833 loss: 1.6309 loss_prob: 0.9413 loss_thr: 0.5310 loss_db: 0.1586 2022/12/19 21:02:41 - mmengine - INFO - Epoch(train) [160][15/79] lr: 6.1587e-03 eta: 5:18:59 time: 0.2626 data_time: 0.0009 memory: 1833 loss: 1.6104 loss_prob: 0.9239 loss_thr: 0.5304 loss_db: 0.1560 2022/12/19 21:02:42 - mmengine - INFO - Epoch(train) [160][20/79] lr: 6.1587e-03 eta: 5:18:58 time: 0.2257 data_time: 0.0008 memory: 1833 loss: 1.4632 loss_prob: 0.8213 loss_thr: 0.5012 loss_db: 0.1407 2022/12/19 21:02:43 - mmengine - INFO - Epoch(train) [160][25/79] lr: 6.1587e-03 eta: 5:18:56 time: 0.2190 data_time: 0.0007 memory: 1833 loss: 1.4455 loss_prob: 0.8239 loss_thr: 0.4790 loss_db: 0.1426 2022/12/19 21:02:44 - mmengine - INFO - Epoch(train) [160][30/79] lr: 6.1587e-03 eta: 5:18:54 time: 0.2119 data_time: 0.0008 memory: 1833 loss: 1.6235 loss_prob: 0.9485 loss_thr: 0.5131 loss_db: 0.1619 2022/12/19 21:02:46 - mmengine - INFO - Epoch(train) [160][35/79] lr: 6.1587e-03 eta: 5:18:53 time: 0.2151 data_time: 0.0008 memory: 1833 loss: 1.5264 loss_prob: 0.8708 loss_thr: 0.5087 loss_db: 0.1469 2022/12/19 21:02:47 - mmengine - INFO - Epoch(train) [160][40/79] lr: 6.1587e-03 eta: 5:18:51 time: 0.2223 data_time: 0.0008 memory: 1833 loss: 1.4328 loss_prob: 0.8068 loss_thr: 0.4890 loss_db: 0.1370 2022/12/19 21:02:48 - mmengine - INFO - Epoch(train) [160][45/79] lr: 6.1587e-03 eta: 5:18:49 time: 0.2190 data_time: 0.0008 memory: 1833 loss: 1.4359 loss_prob: 0.8167 loss_thr: 0.4799 loss_db: 0.1393 2022/12/19 21:02:49 - mmengine - INFO - Epoch(train) [160][50/79] lr: 6.1587e-03 eta: 5:18:48 time: 0.2212 data_time: 0.0007 memory: 1833 loss: 1.4041 loss_prob: 0.7917 loss_thr: 0.4774 loss_db: 0.1351 2022/12/19 21:02:50 - mmengine - INFO - Epoch(train) [160][55/79] lr: 6.1587e-03 eta: 5:18:45 time: 0.2046 data_time: 0.0007 memory: 1833 loss: 1.4089 loss_prob: 0.7960 loss_thr: 0.4769 loss_db: 0.1359 2022/12/19 21:02:51 - mmengine - INFO - Epoch(train) [160][60/79] lr: 6.1587e-03 eta: 5:18:43 time: 0.1895 data_time: 0.0006 memory: 1833 loss: 1.3748 loss_prob: 0.7711 loss_thr: 0.4716 loss_db: 0.1321 2022/12/19 21:02:52 - mmengine - INFO - Epoch(train) [160][65/79] lr: 6.1587e-03 eta: 5:18:41 time: 0.2037 data_time: 0.0006 memory: 1833 loss: 1.4460 loss_prob: 0.8168 loss_thr: 0.4884 loss_db: 0.1408 2022/12/19 21:02:53 - mmengine - INFO - Epoch(train) [160][70/79] lr: 6.1587e-03 eta: 5:18:40 time: 0.2215 data_time: 0.0006 memory: 1833 loss: 1.5047 loss_prob: 0.8590 loss_thr: 0.5022 loss_db: 0.1435 2022/12/19 21:02:54 - mmengine - INFO - Epoch(train) [160][75/79] lr: 6.1587e-03 eta: 5:18:39 time: 0.2397 data_time: 0.0006 memory: 1833 loss: 1.4303 loss_prob: 0.8150 loss_thr: 0.4776 loss_db: 0.1377 2022/12/19 21:02:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:02:55 - mmengine - INFO - Epoch(val) [160][5/75] eta: 0:00:01 time: 0.0269 data_time: 0.0115 memory: 1833 2022/12/19 21:02:55 - mmengine - INFO - Epoch(val) [160][10/75] eta: 0:00:01 time: 0.0192 data_time: 0.0024 memory: 425 2022/12/19 21:02:55 - mmengine - INFO - Epoch(val) [160][15/75] eta: 0:00:01 time: 0.0352 data_time: 0.0003 memory: 425 2022/12/19 21:02:55 - mmengine - INFO - Epoch(val) [160][20/75] eta: 0:00:01 time: 0.0367 data_time: 0.0003 memory: 425 2022/12/19 21:02:56 - mmengine - INFO - Epoch(val) [160][25/75] eta: 0:00:01 time: 0.0355 data_time: 0.0149 memory: 390 2022/12/19 21:02:56 - mmengine - INFO - Epoch(val) [160][30/75] eta: 0:00:02 time: 0.0979 data_time: 0.0613 memory: 390 2022/12/19 21:02:57 - mmengine - INFO - Epoch(val) [160][35/75] eta: 0:00:01 time: 0.0911 data_time: 0.0576 memory: 368 2022/12/19 21:02:57 - mmengine - INFO - Epoch(val) [160][40/75] eta: 0:00:01 time: 0.0431 data_time: 0.0239 memory: 390 2022/12/19 21:02:57 - mmengine - INFO - Epoch(val) [160][45/75] eta: 0:00:01 time: 0.0333 data_time: 0.0130 memory: 425 2022/12/19 21:02:57 - mmengine - INFO - Epoch(val) [160][50/75] eta: 0:00:01 time: 0.0178 data_time: 0.0003 memory: 430 2022/12/19 21:02:57 - mmengine - INFO - Epoch(val) [160][55/75] eta: 0:00:00 time: 0.0205 data_time: 0.0032 memory: 407 2022/12/19 21:02:57 - mmengine - INFO - Epoch(val) [160][60/75] eta: 0:00:00 time: 0.0269 data_time: 0.0032 memory: 390 2022/12/19 21:02:57 - mmengine - INFO - Epoch(val) [160][65/75] eta: 0:00:00 time: 0.0261 data_time: 0.0004 memory: 390 2022/12/19 21:02:58 - mmengine - INFO - Epoch(val) [160][70/75] eta: 0:00:00 time: 0.0311 data_time: 0.0004 memory: 425 2022/12/19 21:02:58 - mmengine - INFO - Epoch(val) [160][75/75] eta: 0:00:00 time: 0.0373 data_time: 0.0106 memory: 368 2022/12/19 21:02:58 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 21:02:58 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7828, precision: 0.6755, hmean: 0.7252 2022/12/19 21:02:58 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7828, precision: 0.7445, hmean: 0.7632 2022/12/19 21:02:58 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7792, precision: 0.7991, hmean: 0.7890 2022/12/19 21:02:58 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7589, precision: 0.8494, hmean: 0.8016 2022/12/19 21:02:58 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6542, precision: 0.9022, hmean: 0.7584 2022/12/19 21:02:58 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.2646, precision: 0.9575, hmean: 0.4146 2022/12/19 21:02:58 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0068, precision: 1.0000, hmean: 0.0135 2022/12/19 21:02:58 - mmengine - INFO - Epoch(val) [160][75/75] icdar/precision: 0.8494 icdar/recall: 0.7589 icdar/hmean: 0.8016 2022/12/19 21:02:58 - mmengine - INFO - The previous best checkpoint work_dirs/dbnet_resnet18_fpnc_1200e_totaltext/best_icdar/hmean_epoch_140.pth is removed 2022/12/19 21:02:59 - mmengine - INFO - The best checkpoint with 0.8016 icdar/hmean at 160 epoch is saved to best_icdar/hmean_epoch_160.pth. 2022/12/19 21:03:00 - mmengine - INFO - Epoch(train) [161][5/79] lr: 6.1534e-03 eta: 5:18:37 time: 0.2316 data_time: 0.0259 memory: 1833 loss: 1.3909 loss_prob: 0.7874 loss_thr: 0.4669 loss_db: 0.1366 2022/12/19 21:03:01 - mmengine - INFO - Epoch(train) [161][10/79] lr: 6.1534e-03 eta: 5:18:35 time: 0.2472 data_time: 0.0260 memory: 1833 loss: 1.3881 loss_prob: 0.7815 loss_thr: 0.4715 loss_db: 0.1350 2022/12/19 21:03:02 - mmengine - INFO - Epoch(train) [161][15/79] lr: 6.1534e-03 eta: 5:18:34 time: 0.2111 data_time: 0.0007 memory: 1833 loss: 1.3080 loss_prob: 0.7239 loss_thr: 0.4604 loss_db: 0.1238 2022/12/19 21:03:03 - mmengine - INFO - Epoch(train) [161][20/79] lr: 6.1534e-03 eta: 5:18:33 time: 0.2298 data_time: 0.0008 memory: 1833 loss: 1.4083 loss_prob: 0.7841 loss_thr: 0.4877 loss_db: 0.1365 2022/12/19 21:03:04 - mmengine - INFO - Epoch(train) [161][25/79] lr: 6.1534e-03 eta: 5:18:31 time: 0.2335 data_time: 0.0008 memory: 1833 loss: 1.4408 loss_prob: 0.8161 loss_thr: 0.4826 loss_db: 0.1421 2022/12/19 21:03:06 - mmengine - INFO - Epoch(train) [161][30/79] lr: 6.1534e-03 eta: 5:18:29 time: 0.2166 data_time: 0.0008 memory: 1833 loss: 1.6830 loss_prob: 1.0031 loss_thr: 0.5156 loss_db: 0.1643 2022/12/19 21:03:07 - mmengine - INFO - Epoch(train) [161][35/79] lr: 6.1534e-03 eta: 5:18:28 time: 0.2182 data_time: 0.0008 memory: 1833 loss: 1.6907 loss_prob: 1.0168 loss_thr: 0.5105 loss_db: 0.1634 2022/12/19 21:03:08 - mmengine - INFO - Epoch(train) [161][40/79] lr: 6.1534e-03 eta: 5:18:27 time: 0.2268 data_time: 0.0008 memory: 1833 loss: 1.4872 loss_prob: 0.8591 loss_thr: 0.4867 loss_db: 0.1415 2022/12/19 21:03:09 - mmengine - INFO - Epoch(train) [161][45/79] lr: 6.1534e-03 eta: 5:18:25 time: 0.2264 data_time: 0.0008 memory: 1833 loss: 1.4121 loss_prob: 0.7924 loss_thr: 0.4835 loss_db: 0.1361 2022/12/19 21:03:10 - mmengine - INFO - Epoch(train) [161][50/79] lr: 6.1534e-03 eta: 5:18:23 time: 0.2087 data_time: 0.0007 memory: 1833 loss: 1.3219 loss_prob: 0.7354 loss_thr: 0.4599 loss_db: 0.1265 2022/12/19 21:03:11 - mmengine - INFO - Epoch(train) [161][55/79] lr: 6.1534e-03 eta: 5:18:21 time: 0.2088 data_time: 0.0007 memory: 1833 loss: 1.4127 loss_prob: 0.7913 loss_thr: 0.4857 loss_db: 0.1356 2022/12/19 21:03:12 - mmengine - INFO - Epoch(train) [161][60/79] lr: 6.1534e-03 eta: 5:18:21 time: 0.2484 data_time: 0.0008 memory: 1833 loss: 1.4537 loss_prob: 0.8175 loss_thr: 0.4949 loss_db: 0.1412 2022/12/19 21:03:13 - mmengine - INFO - Epoch(train) [161][65/79] lr: 6.1534e-03 eta: 5:18:20 time: 0.2480 data_time: 0.0009 memory: 1833 loss: 1.4727 loss_prob: 0.8321 loss_thr: 0.4976 loss_db: 0.1429 2022/12/19 21:03:15 - mmengine - INFO - Epoch(train) [161][70/79] lr: 6.1534e-03 eta: 5:18:20 time: 0.2447 data_time: 0.0008 memory: 1833 loss: 1.4969 loss_prob: 0.8494 loss_thr: 0.5004 loss_db: 0.1471 2022/12/19 21:03:16 - mmengine - INFO - Epoch(train) [161][75/79] lr: 6.1534e-03 eta: 5:18:18 time: 0.2333 data_time: 0.0007 memory: 1833 loss: 1.5289 loss_prob: 0.8676 loss_thr: 0.5119 loss_db: 0.1494 2022/12/19 21:03:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:03:19 - mmengine - INFO - Epoch(train) [162][5/79] lr: 6.1481e-03 eta: 5:18:22 time: 0.3312 data_time: 0.1184 memory: 1833 loss: 1.2780 loss_prob: 0.6950 loss_thr: 0.4648 loss_db: 0.1182 2022/12/19 21:03:20 - mmengine - INFO - Epoch(train) [162][10/79] lr: 6.1481e-03 eta: 5:18:21 time: 0.3371 data_time: 0.1188 memory: 1833 loss: 1.3456 loss_prob: 0.7393 loss_thr: 0.4791 loss_db: 0.1272 2022/12/19 21:03:21 - mmengine - INFO - Epoch(train) [162][15/79] lr: 6.1481e-03 eta: 5:18:20 time: 0.2329 data_time: 0.0011 memory: 1833 loss: 1.4446 loss_prob: 0.8168 loss_thr: 0.4890 loss_db: 0.1388 2022/12/19 21:03:22 - mmengine - INFO - Epoch(train) [162][20/79] lr: 6.1481e-03 eta: 5:18:18 time: 0.2206 data_time: 0.0007 memory: 1833 loss: 1.4581 loss_prob: 0.8400 loss_thr: 0.4777 loss_db: 0.1404 2022/12/19 21:03:23 - mmengine - INFO - Epoch(train) [162][25/79] lr: 6.1481e-03 eta: 5:18:17 time: 0.2257 data_time: 0.0008 memory: 1833 loss: 1.4832 loss_prob: 0.8622 loss_thr: 0.4756 loss_db: 0.1455 2022/12/19 21:03:25 - mmengine - INFO - Epoch(train) [162][30/79] lr: 6.1481e-03 eta: 5:18:15 time: 0.2283 data_time: 0.0008 memory: 1833 loss: 1.5621 loss_prob: 0.9106 loss_thr: 0.4962 loss_db: 0.1554 2022/12/19 21:03:26 - mmengine - INFO - Epoch(train) [162][35/79] lr: 6.1481e-03 eta: 5:18:13 time: 0.2133 data_time: 0.0007 memory: 1833 loss: 1.5649 loss_prob: 0.9013 loss_thr: 0.5113 loss_db: 0.1523 2022/12/19 21:03:27 - mmengine - INFO - Epoch(train) [162][40/79] lr: 6.1481e-03 eta: 5:18:12 time: 0.2162 data_time: 0.0008 memory: 1833 loss: 1.5440 loss_prob: 0.8786 loss_thr: 0.5152 loss_db: 0.1502 2022/12/19 21:03:28 - mmengine - INFO - Epoch(train) [162][45/79] lr: 6.1481e-03 eta: 5:18:11 time: 0.2266 data_time: 0.0008 memory: 1833 loss: 1.4457 loss_prob: 0.8158 loss_thr: 0.4858 loss_db: 0.1441 2022/12/19 21:03:29 - mmengine - INFO - Epoch(train) [162][50/79] lr: 6.1481e-03 eta: 5:18:11 time: 0.2561 data_time: 0.0010 memory: 1833 loss: 1.3463 loss_prob: 0.7513 loss_thr: 0.4631 loss_db: 0.1319 2022/12/19 21:03:30 - mmengine - INFO - Epoch(train) [162][55/79] lr: 6.1481e-03 eta: 5:18:09 time: 0.2442 data_time: 0.0010 memory: 1833 loss: 1.3668 loss_prob: 0.7686 loss_thr: 0.4634 loss_db: 0.1348 2022/12/19 21:03:31 - mmengine - INFO - Epoch(train) [162][60/79] lr: 6.1481e-03 eta: 5:18:07 time: 0.2086 data_time: 0.0007 memory: 1833 loss: 1.3932 loss_prob: 0.7912 loss_thr: 0.4662 loss_db: 0.1358 2022/12/19 21:03:32 - mmengine - INFO - Epoch(train) [162][65/79] lr: 6.1481e-03 eta: 5:18:05 time: 0.2050 data_time: 0.0007 memory: 1833 loss: 1.3971 loss_prob: 0.7766 loss_thr: 0.4867 loss_db: 0.1338 2022/12/19 21:03:34 - mmengine - INFO - Epoch(train) [162][70/79] lr: 6.1481e-03 eta: 5:18:04 time: 0.2172 data_time: 0.0007 memory: 1833 loss: 1.4400 loss_prob: 0.8105 loss_thr: 0.4906 loss_db: 0.1388 2022/12/19 21:03:35 - mmengine - INFO - Epoch(train) [162][75/79] lr: 6.1481e-03 eta: 5:18:02 time: 0.2195 data_time: 0.0007 memory: 1833 loss: 1.4379 loss_prob: 0.8226 loss_thr: 0.4779 loss_db: 0.1375 2022/12/19 21:03:35 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:03:37 - mmengine - INFO - Epoch(train) [163][5/79] lr: 6.1427e-03 eta: 5:18:02 time: 0.2622 data_time: 0.0548 memory: 1833 loss: 1.7081 loss_prob: 1.0265 loss_thr: 0.5113 loss_db: 0.1703 2022/12/19 21:03:38 - mmengine - INFO - Epoch(train) [163][10/79] lr: 6.1427e-03 eta: 5:18:00 time: 0.2787 data_time: 0.0549 memory: 1833 loss: 1.7293 loss_prob: 1.0239 loss_thr: 0.5343 loss_db: 0.1712 2022/12/19 21:03:39 - mmengine - INFO - Epoch(train) [163][15/79] lr: 6.1427e-03 eta: 5:17:58 time: 0.2121 data_time: 0.0008 memory: 1833 loss: 1.5381 loss_prob: 0.8657 loss_thr: 0.5230 loss_db: 0.1494 2022/12/19 21:03:40 - mmengine - INFO - Epoch(train) [163][20/79] lr: 6.1427e-03 eta: 5:17:57 time: 0.2195 data_time: 0.0008 memory: 1833 loss: 1.3467 loss_prob: 0.7523 loss_thr: 0.4628 loss_db: 0.1317 2022/12/19 21:03:41 - mmengine - INFO - Epoch(train) [163][25/79] lr: 6.1427e-03 eta: 5:17:55 time: 0.2186 data_time: 0.0008 memory: 1833 loss: 1.4534 loss_prob: 0.8055 loss_thr: 0.5086 loss_db: 0.1393 2022/12/19 21:03:42 - mmengine - INFO - Epoch(train) [163][30/79] lr: 6.1427e-03 eta: 5:17:53 time: 0.2039 data_time: 0.0008 memory: 1833 loss: 1.6114 loss_prob: 0.9100 loss_thr: 0.5457 loss_db: 0.1557 2022/12/19 21:03:44 - mmengine - INFO - Epoch(train) [163][35/79] lr: 6.1427e-03 eta: 5:17:52 time: 0.2296 data_time: 0.0008 memory: 1833 loss: 1.6024 loss_prob: 0.9145 loss_thr: 0.5306 loss_db: 0.1573 2022/12/19 21:03:45 - mmengine - INFO - Epoch(train) [163][40/79] lr: 6.1427e-03 eta: 5:17:52 time: 0.2505 data_time: 0.0010 memory: 1833 loss: 1.4268 loss_prob: 0.8055 loss_thr: 0.4826 loss_db: 0.1388 2022/12/19 21:03:46 - mmengine - INFO - Epoch(train) [163][45/79] lr: 6.1427e-03 eta: 5:17:49 time: 0.2257 data_time: 0.0010 memory: 1833 loss: 1.2938 loss_prob: 0.7230 loss_thr: 0.4433 loss_db: 0.1275 2022/12/19 21:03:47 - mmengine - INFO - Epoch(train) [163][50/79] lr: 6.1427e-03 eta: 5:17:48 time: 0.2052 data_time: 0.0008 memory: 1833 loss: 1.4365 loss_prob: 0.8104 loss_thr: 0.4864 loss_db: 0.1397 2022/12/19 21:03:48 - mmengine - INFO - Epoch(train) [163][55/79] lr: 6.1427e-03 eta: 5:17:47 time: 0.2265 data_time: 0.0007 memory: 1833 loss: 1.3751 loss_prob: 0.7752 loss_thr: 0.4693 loss_db: 0.1307 2022/12/19 21:03:49 - mmengine - INFO - Epoch(train) [163][60/79] lr: 6.1427e-03 eta: 5:17:45 time: 0.2334 data_time: 0.0007 memory: 1833 loss: 1.4008 loss_prob: 0.7991 loss_thr: 0.4639 loss_db: 0.1378 2022/12/19 21:03:50 - mmengine - INFO - Epoch(train) [163][65/79] lr: 6.1427e-03 eta: 5:17:43 time: 0.2139 data_time: 0.0007 memory: 1833 loss: 1.4841 loss_prob: 0.8593 loss_thr: 0.4773 loss_db: 0.1474 2022/12/19 21:03:51 - mmengine - INFO - Epoch(train) [163][70/79] lr: 6.1427e-03 eta: 5:17:41 time: 0.2103 data_time: 0.0007 memory: 1833 loss: 1.4619 loss_prob: 0.8413 loss_thr: 0.4767 loss_db: 0.1440 2022/12/19 21:03:52 - mmengine - INFO - Epoch(train) [163][75/79] lr: 6.1427e-03 eta: 5:17:40 time: 0.2151 data_time: 0.0007 memory: 1833 loss: 1.5096 loss_prob: 0.8606 loss_thr: 0.5017 loss_db: 0.1473 2022/12/19 21:03:53 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:03:55 - mmengine - INFO - Epoch(train) [164][5/79] lr: 6.1374e-03 eta: 5:17:40 time: 0.2631 data_time: 0.0366 memory: 1833 loss: 1.4765 loss_prob: 0.8382 loss_thr: 0.4923 loss_db: 0.1459 2022/12/19 21:03:56 - mmengine - INFO - Epoch(train) [164][10/79] lr: 6.1374e-03 eta: 5:17:38 time: 0.2747 data_time: 0.0366 memory: 1833 loss: 1.5419 loss_prob: 0.8814 loss_thr: 0.5096 loss_db: 0.1508 2022/12/19 21:03:57 - mmengine - INFO - Epoch(train) [164][15/79] lr: 6.1374e-03 eta: 5:17:37 time: 0.2180 data_time: 0.0008 memory: 1833 loss: 1.5484 loss_prob: 0.8776 loss_thr: 0.5197 loss_db: 0.1511 2022/12/19 21:03:58 - mmengine - INFO - Epoch(train) [164][20/79] lr: 6.1374e-03 eta: 5:17:36 time: 0.2384 data_time: 0.0008 memory: 1833 loss: 1.3562 loss_prob: 0.7425 loss_thr: 0.4839 loss_db: 0.1299 2022/12/19 21:03:59 - mmengine - INFO - Epoch(train) [164][25/79] lr: 6.1374e-03 eta: 5:17:34 time: 0.2233 data_time: 0.0007 memory: 1833 loss: 1.4247 loss_prob: 0.7922 loss_thr: 0.4956 loss_db: 0.1369 2022/12/19 21:04:01 - mmengine - INFO - Epoch(train) [164][30/79] lr: 6.1374e-03 eta: 5:17:34 time: 0.2418 data_time: 0.0009 memory: 1833 loss: 1.4509 loss_prob: 0.8177 loss_thr: 0.4901 loss_db: 0.1431 2022/12/19 21:04:02 - mmengine - INFO - Epoch(train) [164][35/79] lr: 6.1374e-03 eta: 5:17:35 time: 0.2889 data_time: 0.0009 memory: 1833 loss: 1.6161 loss_prob: 0.9254 loss_thr: 0.5296 loss_db: 0.1612 2022/12/19 21:04:03 - mmengine - INFO - Epoch(train) [164][40/79] lr: 6.1374e-03 eta: 5:17:33 time: 0.2588 data_time: 0.0008 memory: 1833 loss: 1.7057 loss_prob: 0.9831 loss_thr: 0.5532 loss_db: 0.1693 2022/12/19 21:04:04 - mmengine - INFO - Epoch(train) [164][45/79] lr: 6.1374e-03 eta: 5:17:32 time: 0.2217 data_time: 0.0008 memory: 1833 loss: 1.4762 loss_prob: 0.8459 loss_thr: 0.4856 loss_db: 0.1448 2022/12/19 21:04:06 - mmengine - INFO - Epoch(train) [164][50/79] lr: 6.1374e-03 eta: 5:17:31 time: 0.2350 data_time: 0.0008 memory: 1833 loss: 1.4948 loss_prob: 0.8600 loss_thr: 0.4879 loss_db: 0.1469 2022/12/19 21:04:07 - mmengine - INFO - Epoch(train) [164][55/79] lr: 6.1374e-03 eta: 5:17:29 time: 0.2220 data_time: 0.0007 memory: 1833 loss: 1.4328 loss_prob: 0.8052 loss_thr: 0.4873 loss_db: 0.1404 2022/12/19 21:04:08 - mmengine - INFO - Epoch(train) [164][60/79] lr: 6.1374e-03 eta: 5:17:27 time: 0.2130 data_time: 0.0008 memory: 1833 loss: 1.3765 loss_prob: 0.7690 loss_thr: 0.4717 loss_db: 0.1358 2022/12/19 21:04:09 - mmengine - INFO - Epoch(train) [164][65/79] lr: 6.1374e-03 eta: 5:17:25 time: 0.2055 data_time: 0.0008 memory: 1833 loss: 1.4714 loss_prob: 0.8313 loss_thr: 0.4974 loss_db: 0.1426 2022/12/19 21:04:10 - mmengine - INFO - Epoch(train) [164][70/79] lr: 6.1374e-03 eta: 5:17:24 time: 0.2138 data_time: 0.0007 memory: 1833 loss: 1.5065 loss_prob: 0.8558 loss_thr: 0.5056 loss_db: 0.1451 2022/12/19 21:04:11 - mmengine - INFO - Epoch(train) [164][75/79] lr: 6.1374e-03 eta: 5:17:23 time: 0.2432 data_time: 0.0007 memory: 1833 loss: 1.5259 loss_prob: 0.8785 loss_thr: 0.5010 loss_db: 0.1463 2022/12/19 21:04:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:04:14 - mmengine - INFO - Epoch(train) [165][5/79] lr: 6.1321e-03 eta: 5:17:27 time: 0.3196 data_time: 0.0476 memory: 1833 loss: 1.5144 loss_prob: 0.8583 loss_thr: 0.5102 loss_db: 0.1459 2022/12/19 21:04:15 - mmengine - INFO - Epoch(train) [165][10/79] lr: 6.1321e-03 eta: 5:17:26 time: 0.3480 data_time: 0.0477 memory: 1833 loss: 1.4348 loss_prob: 0.7995 loss_thr: 0.4939 loss_db: 0.1414 2022/12/19 21:04:16 - mmengine - INFO - Epoch(train) [165][15/79] lr: 6.1321e-03 eta: 5:17:25 time: 0.2325 data_time: 0.0010 memory: 1833 loss: 1.5467 loss_prob: 0.8786 loss_thr: 0.5179 loss_db: 0.1502 2022/12/19 21:04:18 - mmengine - INFO - Epoch(train) [165][20/79] lr: 6.1321e-03 eta: 5:17:24 time: 0.2468 data_time: 0.0010 memory: 1833 loss: 1.5694 loss_prob: 0.8946 loss_thr: 0.5225 loss_db: 0.1523 2022/12/19 21:04:19 - mmengine - INFO - Epoch(train) [165][25/79] lr: 6.1321e-03 eta: 5:17:22 time: 0.2292 data_time: 0.0008 memory: 1833 loss: 1.3670 loss_prob: 0.7591 loss_thr: 0.4755 loss_db: 0.1324 2022/12/19 21:04:20 - mmengine - INFO - Epoch(train) [165][30/79] lr: 6.1321e-03 eta: 5:17:21 time: 0.2226 data_time: 0.0008 memory: 1833 loss: 1.3755 loss_prob: 0.7668 loss_thr: 0.4746 loss_db: 0.1341 2022/12/19 21:04:21 - mmengine - INFO - Epoch(train) [165][35/79] lr: 6.1321e-03 eta: 5:17:20 time: 0.2308 data_time: 0.0008 memory: 1833 loss: 1.5711 loss_prob: 0.8972 loss_thr: 0.5207 loss_db: 0.1531 2022/12/19 21:04:22 - mmengine - INFO - Epoch(train) [165][40/79] lr: 6.1321e-03 eta: 5:17:18 time: 0.2177 data_time: 0.0008 memory: 1833 loss: 1.5118 loss_prob: 0.8516 loss_thr: 0.5165 loss_db: 0.1438 2022/12/19 21:04:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:04:23 - mmengine - INFO - Epoch(train) [165][45/79] lr: 6.1321e-03 eta: 5:17:17 time: 0.2209 data_time: 0.0008 memory: 1833 loss: 1.4390 loss_prob: 0.8081 loss_thr: 0.4943 loss_db: 0.1366 2022/12/19 21:04:24 - mmengine - INFO - Epoch(train) [165][50/79] lr: 6.1321e-03 eta: 5:17:16 time: 0.2343 data_time: 0.0007 memory: 1833 loss: 1.5770 loss_prob: 0.9087 loss_thr: 0.5138 loss_db: 0.1545 2022/12/19 21:04:26 - mmengine - INFO - Epoch(train) [165][55/79] lr: 6.1321e-03 eta: 5:17:14 time: 0.2229 data_time: 0.0007 memory: 1833 loss: 1.7115 loss_prob: 1.0179 loss_thr: 0.5222 loss_db: 0.1715 2022/12/19 21:04:27 - mmengine - INFO - Epoch(train) [165][60/79] lr: 6.1321e-03 eta: 5:17:12 time: 0.2133 data_time: 0.0007 memory: 1833 loss: 1.5714 loss_prob: 0.9243 loss_thr: 0.4924 loss_db: 0.1548 2022/12/19 21:04:28 - mmengine - INFO - Epoch(train) [165][65/79] lr: 6.1321e-03 eta: 5:17:11 time: 0.2268 data_time: 0.0006 memory: 1833 loss: 1.4322 loss_prob: 0.8124 loss_thr: 0.4776 loss_db: 0.1421 2022/12/19 21:04:29 - mmengine - INFO - Epoch(train) [165][70/79] lr: 6.1321e-03 eta: 5:17:09 time: 0.2198 data_time: 0.0006 memory: 1833 loss: 1.5658 loss_prob: 0.9052 loss_thr: 0.5038 loss_db: 0.1568 2022/12/19 21:04:30 - mmengine - INFO - Epoch(train) [165][75/79] lr: 6.1321e-03 eta: 5:17:06 time: 0.1948 data_time: 0.0006 memory: 1833 loss: 1.6898 loss_prob: 0.9990 loss_thr: 0.5247 loss_db: 0.1661 2022/12/19 21:04:30 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:04:33 - mmengine - INFO - Epoch(train) [166][5/79] lr: 6.1267e-03 eta: 5:17:11 time: 0.3271 data_time: 0.0319 memory: 1833 loss: 1.4810 loss_prob: 0.8562 loss_thr: 0.4783 loss_db: 0.1465 2022/12/19 21:04:34 - mmengine - INFO - Epoch(train) [166][10/79] lr: 6.1267e-03 eta: 5:17:11 time: 0.3699 data_time: 0.0320 memory: 1833 loss: 1.3947 loss_prob: 0.7790 loss_thr: 0.4820 loss_db: 0.1336 2022/12/19 21:04:35 - mmengine - INFO - Epoch(train) [166][15/79] lr: 6.1267e-03 eta: 5:17:08 time: 0.2286 data_time: 0.0008 memory: 1833 loss: 1.5504 loss_prob: 0.8728 loss_thr: 0.5282 loss_db: 0.1495 2022/12/19 21:04:36 - mmengine - INFO - Epoch(train) [166][20/79] lr: 6.1267e-03 eta: 5:17:07 time: 0.2182 data_time: 0.0008 memory: 1833 loss: 1.6654 loss_prob: 0.9556 loss_thr: 0.5461 loss_db: 0.1637 2022/12/19 21:04:37 - mmengine - INFO - Epoch(train) [166][25/79] lr: 6.1267e-03 eta: 5:17:06 time: 0.2330 data_time: 0.0009 memory: 1833 loss: 1.5947 loss_prob: 0.9185 loss_thr: 0.5192 loss_db: 0.1570 2022/12/19 21:04:38 - mmengine - INFO - Epoch(train) [166][30/79] lr: 6.1267e-03 eta: 5:17:04 time: 0.2147 data_time: 0.0008 memory: 1833 loss: 1.6659 loss_prob: 0.9693 loss_thr: 0.5308 loss_db: 0.1658 2022/12/19 21:04:40 - mmengine - INFO - Epoch(train) [166][35/79] lr: 6.1267e-03 eta: 5:17:02 time: 0.2137 data_time: 0.0008 memory: 1833 loss: 1.5829 loss_prob: 0.9170 loss_thr: 0.5070 loss_db: 0.1589 2022/12/19 21:04:41 - mmengine - INFO - Epoch(train) [166][40/79] lr: 6.1267e-03 eta: 5:17:01 time: 0.2240 data_time: 0.0008 memory: 1833 loss: 1.4036 loss_prob: 0.8002 loss_thr: 0.4623 loss_db: 0.1411 2022/12/19 21:04:42 - mmengine - INFO - Epoch(train) [166][45/79] lr: 6.1267e-03 eta: 5:17:00 time: 0.2272 data_time: 0.0007 memory: 1833 loss: 1.5188 loss_prob: 0.8855 loss_thr: 0.4814 loss_db: 0.1518 2022/12/19 21:04:43 - mmengine - INFO - Epoch(train) [166][50/79] lr: 6.1267e-03 eta: 5:16:58 time: 0.2263 data_time: 0.0007 memory: 1833 loss: 1.5884 loss_prob: 0.9172 loss_thr: 0.5140 loss_db: 0.1572 2022/12/19 21:04:44 - mmengine - INFO - Epoch(train) [166][55/79] lr: 6.1267e-03 eta: 5:16:56 time: 0.2105 data_time: 0.0006 memory: 1833 loss: 1.4896 loss_prob: 0.8414 loss_thr: 0.5029 loss_db: 0.1453 2022/12/19 21:04:45 - mmengine - INFO - Epoch(train) [166][60/79] lr: 6.1267e-03 eta: 5:16:54 time: 0.2100 data_time: 0.0006 memory: 1833 loss: 1.5689 loss_prob: 0.8962 loss_thr: 0.5190 loss_db: 0.1537 2022/12/19 21:04:46 - mmengine - INFO - Epoch(train) [166][65/79] lr: 6.1267e-03 eta: 5:16:52 time: 0.2092 data_time: 0.0006 memory: 1833 loss: 1.5307 loss_prob: 0.8669 loss_thr: 0.5117 loss_db: 0.1521 2022/12/19 21:04:47 - mmengine - INFO - Epoch(train) [166][70/79] lr: 6.1267e-03 eta: 5:16:51 time: 0.2165 data_time: 0.0006 memory: 1833 loss: 1.3779 loss_prob: 0.7698 loss_thr: 0.4742 loss_db: 0.1339 2022/12/19 21:04:49 - mmengine - INFO - Epoch(train) [166][75/79] lr: 6.1267e-03 eta: 5:16:51 time: 0.2459 data_time: 0.0008 memory: 1833 loss: 1.3492 loss_prob: 0.7500 loss_thr: 0.4691 loss_db: 0.1300 2022/12/19 21:04:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:04:51 - mmengine - INFO - Epoch(train) [167][5/79] lr: 6.1214e-03 eta: 5:16:52 time: 0.2916 data_time: 0.0532 memory: 1833 loss: 1.2531 loss_prob: 0.6811 loss_thr: 0.4522 loss_db: 0.1198 2022/12/19 21:04:52 - mmengine - INFO - Epoch(train) [167][10/79] lr: 6.1214e-03 eta: 5:16:51 time: 0.3041 data_time: 0.0533 memory: 1833 loss: 1.2725 loss_prob: 0.6989 loss_thr: 0.4524 loss_db: 0.1212 2022/12/19 21:04:54 - mmengine - INFO - Epoch(train) [167][15/79] lr: 6.1214e-03 eta: 5:16:50 time: 0.2271 data_time: 0.0008 memory: 1833 loss: 1.3808 loss_prob: 0.7762 loss_thr: 0.4696 loss_db: 0.1350 2022/12/19 21:04:55 - mmengine - INFO - Epoch(train) [167][20/79] lr: 6.1214e-03 eta: 5:16:48 time: 0.2225 data_time: 0.0008 memory: 1833 loss: 1.4536 loss_prob: 0.8273 loss_thr: 0.4863 loss_db: 0.1400 2022/12/19 21:04:56 - mmengine - INFO - Epoch(train) [167][25/79] lr: 6.1214e-03 eta: 5:16:46 time: 0.2128 data_time: 0.0008 memory: 1833 loss: 1.4171 loss_prob: 0.7990 loss_thr: 0.4821 loss_db: 0.1361 2022/12/19 21:04:57 - mmengine - INFO - Epoch(train) [167][30/79] lr: 6.1214e-03 eta: 5:16:45 time: 0.2207 data_time: 0.0008 memory: 1833 loss: 1.3858 loss_prob: 0.7672 loss_thr: 0.4870 loss_db: 0.1316 2022/12/19 21:04:58 - mmengine - INFO - Epoch(train) [167][35/79] lr: 6.1214e-03 eta: 5:16:44 time: 0.2308 data_time: 0.0008 memory: 1833 loss: 1.4060 loss_prob: 0.7836 loss_thr: 0.4870 loss_db: 0.1354 2022/12/19 21:04:59 - mmengine - INFO - Epoch(train) [167][40/79] lr: 6.1214e-03 eta: 5:16:43 time: 0.2322 data_time: 0.0008 memory: 1833 loss: 1.4032 loss_prob: 0.7809 loss_thr: 0.4856 loss_db: 0.1367 2022/12/19 21:05:00 - mmengine - INFO - Epoch(train) [167][45/79] lr: 6.1214e-03 eta: 5:16:41 time: 0.2315 data_time: 0.0007 memory: 1833 loss: 1.5565 loss_prob: 0.8835 loss_thr: 0.5223 loss_db: 0.1506 2022/12/19 21:05:01 - mmengine - INFO - Epoch(train) [167][50/79] lr: 6.1214e-03 eta: 5:16:40 time: 0.2222 data_time: 0.0007 memory: 1833 loss: 1.5831 loss_prob: 0.9151 loss_thr: 0.5109 loss_db: 0.1571 2022/12/19 21:05:02 - mmengine - INFO - Epoch(train) [167][55/79] lr: 6.1214e-03 eta: 5:16:38 time: 0.2130 data_time: 0.0006 memory: 1833 loss: 1.4439 loss_prob: 0.8162 loss_thr: 0.4853 loss_db: 0.1424 2022/12/19 21:05:03 - mmengine - INFO - Epoch(train) [167][60/79] lr: 6.1214e-03 eta: 5:16:36 time: 0.2005 data_time: 0.0006 memory: 1833 loss: 1.5428 loss_prob: 0.8774 loss_thr: 0.5137 loss_db: 0.1516 2022/12/19 21:05:05 - mmengine - INFO - Epoch(train) [167][65/79] lr: 6.1214e-03 eta: 5:16:36 time: 0.2468 data_time: 0.0008 memory: 1833 loss: 1.4629 loss_prob: 0.8371 loss_thr: 0.4827 loss_db: 0.1431 2022/12/19 21:05:06 - mmengine - INFO - Epoch(train) [167][70/79] lr: 6.1214e-03 eta: 5:16:35 time: 0.2620 data_time: 0.0009 memory: 1833 loss: 1.3760 loss_prob: 0.7761 loss_thr: 0.4692 loss_db: 0.1307 2022/12/19 21:05:07 - mmengine - INFO - Epoch(train) [167][75/79] lr: 6.1214e-03 eta: 5:16:33 time: 0.2134 data_time: 0.0007 memory: 1833 loss: 1.3610 loss_prob: 0.7595 loss_thr: 0.4703 loss_db: 0.1312 2022/12/19 21:05:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:05:10 - mmengine - INFO - Epoch(train) [168][5/79] lr: 6.1161e-03 eta: 5:16:37 time: 0.3223 data_time: 0.1090 memory: 1833 loss: 1.3833 loss_prob: 0.7861 loss_thr: 0.4587 loss_db: 0.1385 2022/12/19 21:05:11 - mmengine - INFO - Epoch(train) [168][10/79] lr: 6.1161e-03 eta: 5:16:35 time: 0.3435 data_time: 0.1090 memory: 1833 loss: 1.3001 loss_prob: 0.7293 loss_thr: 0.4446 loss_db: 0.1262 2022/12/19 21:05:12 - mmengine - INFO - Epoch(train) [168][15/79] lr: 6.1161e-03 eta: 5:16:35 time: 0.2371 data_time: 0.0007 memory: 1833 loss: 1.2868 loss_prob: 0.7143 loss_thr: 0.4499 loss_db: 0.1226 2022/12/19 21:05:13 - mmengine - INFO - Epoch(train) [168][20/79] lr: 6.1161e-03 eta: 5:16:33 time: 0.2285 data_time: 0.0008 memory: 1833 loss: 1.5013 loss_prob: 0.8701 loss_thr: 0.4831 loss_db: 0.1482 2022/12/19 21:05:15 - mmengine - INFO - Epoch(train) [168][25/79] lr: 6.1161e-03 eta: 5:16:32 time: 0.2326 data_time: 0.0008 memory: 1833 loss: 1.4800 loss_prob: 0.8589 loss_thr: 0.4752 loss_db: 0.1459 2022/12/19 21:05:16 - mmengine - INFO - Epoch(train) [168][30/79] lr: 6.1161e-03 eta: 5:16:30 time: 0.2341 data_time: 0.0008 memory: 1833 loss: 1.3931 loss_prob: 0.7871 loss_thr: 0.4698 loss_db: 0.1362 2022/12/19 21:05:17 - mmengine - INFO - Epoch(train) [168][35/79] lr: 6.1161e-03 eta: 5:16:29 time: 0.2109 data_time: 0.0008 memory: 1833 loss: 1.5520 loss_prob: 0.8864 loss_thr: 0.5106 loss_db: 0.1550 2022/12/19 21:05:18 - mmengine - INFO - Epoch(train) [168][40/79] lr: 6.1161e-03 eta: 5:16:27 time: 0.2123 data_time: 0.0008 memory: 1833 loss: 1.6883 loss_prob: 0.9776 loss_thr: 0.5402 loss_db: 0.1705 2022/12/19 21:05:19 - mmengine - INFO - Epoch(train) [168][45/79] lr: 6.1161e-03 eta: 5:16:25 time: 0.2153 data_time: 0.0008 memory: 1833 loss: 1.7974 loss_prob: 1.0626 loss_thr: 0.5556 loss_db: 0.1792 2022/12/19 21:05:20 - mmengine - INFO - Epoch(train) [168][50/79] lr: 6.1161e-03 eta: 5:16:24 time: 0.2326 data_time: 0.0008 memory: 1833 loss: 1.6283 loss_prob: 0.9478 loss_thr: 0.5229 loss_db: 0.1576 2022/12/19 21:05:21 - mmengine - INFO - Epoch(train) [168][55/79] lr: 6.1161e-03 eta: 5:16:22 time: 0.2211 data_time: 0.0008 memory: 1833 loss: 1.4303 loss_prob: 0.7954 loss_thr: 0.5006 loss_db: 0.1342 2022/12/19 21:05:22 - mmengine - INFO - Epoch(train) [168][60/79] lr: 6.1161e-03 eta: 5:16:20 time: 0.1908 data_time: 0.0007 memory: 1833 loss: 1.5012 loss_prob: 0.8365 loss_thr: 0.5200 loss_db: 0.1446 2022/12/19 21:05:24 - mmengine - INFO - Epoch(train) [168][65/79] lr: 6.1161e-03 eta: 5:16:20 time: 0.2325 data_time: 0.0007 memory: 1833 loss: 1.5115 loss_prob: 0.8508 loss_thr: 0.5120 loss_db: 0.1487 2022/12/19 21:05:25 - mmengine - INFO - Epoch(train) [168][70/79] lr: 6.1161e-03 eta: 5:16:18 time: 0.2432 data_time: 0.0007 memory: 1833 loss: 1.4858 loss_prob: 0.8408 loss_thr: 0.5017 loss_db: 0.1433 2022/12/19 21:05:26 - mmengine - INFO - Epoch(train) [168][75/79] lr: 6.1161e-03 eta: 5:16:16 time: 0.2167 data_time: 0.0007 memory: 1833 loss: 1.5656 loss_prob: 0.8973 loss_thr: 0.5175 loss_db: 0.1507 2022/12/19 21:05:26 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:05:29 - mmengine - INFO - Epoch(train) [169][5/79] lr: 6.1107e-03 eta: 5:16:20 time: 0.3240 data_time: 0.0180 memory: 1833 loss: 1.4795 loss_prob: 0.8379 loss_thr: 0.5008 loss_db: 0.1409 2022/12/19 21:05:30 - mmengine - INFO - Epoch(train) [169][10/79] lr: 6.1107e-03 eta: 5:16:17 time: 0.3214 data_time: 0.0181 memory: 1833 loss: 1.7530 loss_prob: 1.0460 loss_thr: 0.5390 loss_db: 0.1680 2022/12/19 21:05:31 - mmengine - INFO - Epoch(train) [169][15/79] lr: 6.1107e-03 eta: 5:16:16 time: 0.2101 data_time: 0.0007 memory: 1833 loss: 1.7405 loss_prob: 1.0478 loss_thr: 0.5247 loss_db: 0.1680 2022/12/19 21:05:32 - mmengine - INFO - Epoch(train) [169][20/79] lr: 6.1107e-03 eta: 5:16:14 time: 0.2207 data_time: 0.0007 memory: 1833 loss: 1.4446 loss_prob: 0.8223 loss_thr: 0.4809 loss_db: 0.1414 2022/12/19 21:05:33 - mmengine - INFO - Epoch(train) [169][25/79] lr: 6.1107e-03 eta: 5:16:13 time: 0.2219 data_time: 0.0007 memory: 1833 loss: 1.5238 loss_prob: 0.8788 loss_thr: 0.4943 loss_db: 0.1507 2022/12/19 21:05:34 - mmengine - INFO - Epoch(train) [169][30/79] lr: 6.1107e-03 eta: 5:16:12 time: 0.2307 data_time: 0.0007 memory: 1833 loss: 1.6761 loss_prob: 0.9725 loss_thr: 0.5364 loss_db: 0.1672 2022/12/19 21:05:35 - mmengine - INFO - Epoch(train) [169][35/79] lr: 6.1107e-03 eta: 5:16:10 time: 0.2216 data_time: 0.0007 memory: 1833 loss: 1.6137 loss_prob: 0.9320 loss_thr: 0.5212 loss_db: 0.1605 2022/12/19 21:05:37 - mmengine - INFO - Epoch(train) [169][40/79] lr: 6.1107e-03 eta: 5:16:11 time: 0.2569 data_time: 0.0009 memory: 1833 loss: 1.4803 loss_prob: 0.8320 loss_thr: 0.5046 loss_db: 0.1436 2022/12/19 21:05:38 - mmengine - INFO - Epoch(train) [169][45/79] lr: 6.1107e-03 eta: 5:16:11 time: 0.2834 data_time: 0.0009 memory: 1833 loss: 1.5210 loss_prob: 0.8520 loss_thr: 0.5221 loss_db: 0.1469 2022/12/19 21:05:39 - mmengine - INFO - Epoch(train) [169][50/79] lr: 6.1107e-03 eta: 5:16:09 time: 0.2411 data_time: 0.0008 memory: 1833 loss: 1.5529 loss_prob: 0.8972 loss_thr: 0.5020 loss_db: 0.1537 2022/12/19 21:05:40 - mmengine - INFO - Epoch(train) [169][55/79] lr: 6.1107e-03 eta: 5:16:08 time: 0.2158 data_time: 0.0007 memory: 1833 loss: 1.4681 loss_prob: 0.8473 loss_thr: 0.4740 loss_db: 0.1469 2022/12/19 21:05:42 - mmengine - INFO - Epoch(train) [169][60/79] lr: 6.1107e-03 eta: 5:16:07 time: 0.2372 data_time: 0.0007 memory: 1833 loss: 1.4567 loss_prob: 0.8290 loss_thr: 0.4849 loss_db: 0.1428 2022/12/19 21:05:43 - mmengine - INFO - Epoch(train) [169][65/79] lr: 6.1107e-03 eta: 5:16:05 time: 0.2351 data_time: 0.0007 memory: 1833 loss: 1.5353 loss_prob: 0.8642 loss_thr: 0.5256 loss_db: 0.1455 2022/12/19 21:05:44 - mmengine - INFO - Epoch(train) [169][70/79] lr: 6.1107e-03 eta: 5:16:03 time: 0.2115 data_time: 0.0008 memory: 1833 loss: 1.4688 loss_prob: 0.8229 loss_thr: 0.5050 loss_db: 0.1409 2022/12/19 21:05:45 - mmengine - INFO - Epoch(train) [169][75/79] lr: 6.1107e-03 eta: 5:16:02 time: 0.2105 data_time: 0.0007 memory: 1833 loss: 1.3917 loss_prob: 0.7877 loss_thr: 0.4668 loss_db: 0.1373 2022/12/19 21:05:46 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:05:47 - mmengine - INFO - Epoch(train) [170][5/79] lr: 6.1054e-03 eta: 5:16:01 time: 0.2591 data_time: 0.0583 memory: 1833 loss: 1.4530 loss_prob: 0.8457 loss_thr: 0.4636 loss_db: 0.1437 2022/12/19 21:05:48 - mmengine - INFO - Epoch(train) [170][10/79] lr: 6.1054e-03 eta: 5:16:00 time: 0.2718 data_time: 0.0583 memory: 1833 loss: 1.6771 loss_prob: 1.0317 loss_thr: 0.4823 loss_db: 0.1631 2022/12/19 21:05:49 - mmengine - INFO - Epoch(train) [170][15/79] lr: 6.1054e-03 eta: 5:15:59 time: 0.2343 data_time: 0.0007 memory: 1833 loss: 1.6728 loss_prob: 1.0073 loss_thr: 0.5017 loss_db: 0.1638 2022/12/19 21:05:51 - mmengine - INFO - Epoch(train) [170][20/79] lr: 6.1054e-03 eta: 5:15:57 time: 0.2272 data_time: 0.0008 memory: 1833 loss: 1.6464 loss_prob: 0.9475 loss_thr: 0.5356 loss_db: 0.1633 2022/12/19 21:05:52 - mmengine - INFO - Epoch(train) [170][25/79] lr: 6.1054e-03 eta: 5:15:57 time: 0.2421 data_time: 0.0009 memory: 1833 loss: 1.6215 loss_prob: 0.9326 loss_thr: 0.5312 loss_db: 0.1577 2022/12/19 21:05:53 - mmengine - INFO - Epoch(train) [170][30/79] lr: 6.1054e-03 eta: 5:15:56 time: 0.2499 data_time: 0.0011 memory: 1833 loss: 1.4520 loss_prob: 0.8228 loss_thr: 0.4881 loss_db: 0.1411 2022/12/19 21:05:54 - mmengine - INFO - Epoch(train) [170][35/79] lr: 6.1054e-03 eta: 5:15:56 time: 0.2474 data_time: 0.0010 memory: 1833 loss: 1.4758 loss_prob: 0.8523 loss_thr: 0.4780 loss_db: 0.1455 2022/12/19 21:05:55 - mmengine - INFO - Epoch(train) [170][40/79] lr: 6.1054e-03 eta: 5:15:54 time: 0.2438 data_time: 0.0008 memory: 1833 loss: 1.6552 loss_prob: 0.9725 loss_thr: 0.5199 loss_db: 0.1629 2022/12/19 21:05:57 - mmengine - INFO - Epoch(train) [170][45/79] lr: 6.1054e-03 eta: 5:15:53 time: 0.2220 data_time: 0.0009 memory: 1833 loss: 1.6226 loss_prob: 0.9350 loss_thr: 0.5291 loss_db: 0.1586 2022/12/19 21:05:58 - mmengine - INFO - Epoch(train) [170][50/79] lr: 6.1054e-03 eta: 5:15:51 time: 0.2138 data_time: 0.0008 memory: 1833 loss: 1.6556 loss_prob: 0.9934 loss_thr: 0.5026 loss_db: 0.1596 2022/12/19 21:05:59 - mmengine - INFO - Epoch(train) [170][55/79] lr: 6.1054e-03 eta: 5:15:49 time: 0.2126 data_time: 0.0008 memory: 1833 loss: 1.7254 loss_prob: 1.0492 loss_thr: 0.5083 loss_db: 0.1680 2022/12/19 21:06:00 - mmengine - INFO - Epoch(train) [170][60/79] lr: 6.1054e-03 eta: 5:15:48 time: 0.2156 data_time: 0.0008 memory: 1833 loss: 1.5431 loss_prob: 0.8909 loss_thr: 0.4996 loss_db: 0.1526 2022/12/19 21:06:01 - mmengine - INFO - Epoch(train) [170][65/79] lr: 6.1054e-03 eta: 5:15:46 time: 0.2137 data_time: 0.0007 memory: 1833 loss: 1.5378 loss_prob: 0.8958 loss_thr: 0.4893 loss_db: 0.1526 2022/12/19 21:06:02 - mmengine - INFO - Epoch(train) [170][70/79] lr: 6.1054e-03 eta: 5:15:44 time: 0.2108 data_time: 0.0006 memory: 1833 loss: 1.5421 loss_prob: 0.8975 loss_thr: 0.4916 loss_db: 0.1530 2022/12/19 21:06:03 - mmengine - INFO - Epoch(train) [170][75/79] lr: 6.1054e-03 eta: 5:15:42 time: 0.2086 data_time: 0.0006 memory: 1833 loss: 1.4925 loss_prob: 0.8496 loss_thr: 0.4996 loss_db: 0.1433 2022/12/19 21:06:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:06:06 - mmengine - INFO - Epoch(train) [171][5/79] lr: 6.1001e-03 eta: 5:15:45 time: 0.3224 data_time: 0.0471 memory: 1833 loss: 1.5178 loss_prob: 0.8737 loss_thr: 0.4907 loss_db: 0.1534 2022/12/19 21:06:07 - mmengine - INFO - Epoch(train) [171][10/79] lr: 6.1001e-03 eta: 5:15:43 time: 0.3058 data_time: 0.0471 memory: 1833 loss: 1.4620 loss_prob: 0.8439 loss_thr: 0.4720 loss_db: 0.1461 2022/12/19 21:06:08 - mmengine - INFO - Epoch(train) [171][15/79] lr: 6.1001e-03 eta: 5:15:44 time: 0.2429 data_time: 0.0009 memory: 1833 loss: 1.3171 loss_prob: 0.7363 loss_thr: 0.4532 loss_db: 0.1275 2022/12/19 21:06:10 - mmengine - INFO - Epoch(train) [171][20/79] lr: 6.1001e-03 eta: 5:15:43 time: 0.2687 data_time: 0.0009 memory: 1833 loss: 1.3310 loss_prob: 0.7410 loss_thr: 0.4624 loss_db: 0.1276 2022/12/19 21:06:11 - mmengine - INFO - Epoch(train) [171][25/79] lr: 6.1001e-03 eta: 5:15:41 time: 0.2311 data_time: 0.0007 memory: 1833 loss: 1.4908 loss_prob: 0.8512 loss_thr: 0.4932 loss_db: 0.1464 2022/12/19 21:06:12 - mmengine - INFO - Epoch(train) [171][30/79] lr: 6.1001e-03 eta: 5:15:40 time: 0.2158 data_time: 0.0007 memory: 1833 loss: 1.3144 loss_prob: 0.7434 loss_thr: 0.4417 loss_db: 0.1293 2022/12/19 21:06:13 - mmengine - INFO - Epoch(train) [171][35/79] lr: 6.1001e-03 eta: 5:15:38 time: 0.2249 data_time: 0.0007 memory: 1833 loss: 1.2297 loss_prob: 0.6825 loss_thr: 0.4270 loss_db: 0.1203 2022/12/19 21:06:14 - mmengine - INFO - Epoch(train) [171][40/79] lr: 6.1001e-03 eta: 5:15:36 time: 0.2073 data_time: 0.0007 memory: 1833 loss: 1.3369 loss_prob: 0.7438 loss_thr: 0.4628 loss_db: 0.1302 2022/12/19 21:06:15 - mmengine - INFO - Epoch(train) [171][45/79] lr: 6.1001e-03 eta: 5:15:35 time: 0.2185 data_time: 0.0008 memory: 1833 loss: 1.3111 loss_prob: 0.7284 loss_thr: 0.4547 loss_db: 0.1280 2022/12/19 21:06:16 - mmengine - INFO - Epoch(train) [171][50/79] lr: 6.1001e-03 eta: 5:15:33 time: 0.2294 data_time: 0.0008 memory: 1833 loss: 1.4577 loss_prob: 0.8220 loss_thr: 0.4935 loss_db: 0.1422 2022/12/19 21:06:17 - mmengine - INFO - Epoch(train) [171][55/79] lr: 6.1001e-03 eta: 5:15:31 time: 0.2084 data_time: 0.0008 memory: 1833 loss: 1.6063 loss_prob: 0.9215 loss_thr: 0.5283 loss_db: 0.1565 2022/12/19 21:06:18 - mmengine - INFO - Epoch(train) [171][60/79] lr: 6.1001e-03 eta: 5:15:30 time: 0.2183 data_time: 0.0007 memory: 1833 loss: 1.5143 loss_prob: 0.8707 loss_thr: 0.4961 loss_db: 0.1476 2022/12/19 21:06:19 - mmengine - INFO - Epoch(train) [171][65/79] lr: 6.1001e-03 eta: 5:15:29 time: 0.2244 data_time: 0.0006 memory: 1833 loss: 1.3991 loss_prob: 0.7809 loss_thr: 0.4855 loss_db: 0.1328 2022/12/19 21:06:20 - mmengine - INFO - Epoch(train) [171][70/79] lr: 6.1001e-03 eta: 5:15:26 time: 0.2053 data_time: 0.0006 memory: 1833 loss: 1.4691 loss_prob: 0.8323 loss_thr: 0.4966 loss_db: 0.1401 2022/12/19 21:06:21 - mmengine - INFO - Epoch(train) [171][75/79] lr: 6.1001e-03 eta: 5:15:24 time: 0.1925 data_time: 0.0006 memory: 1833 loss: 1.4879 loss_prob: 0.8588 loss_thr: 0.4835 loss_db: 0.1457 2022/12/19 21:06:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:06:25 - mmengine - INFO - Epoch(train) [172][5/79] lr: 6.0947e-03 eta: 5:15:32 time: 0.3930 data_time: 0.0532 memory: 1833 loss: 1.5078 loss_prob: 0.8666 loss_thr: 0.5011 loss_db: 0.1401 2022/12/19 21:06:26 - mmengine - INFO - Epoch(train) [172][10/79] lr: 6.0947e-03 eta: 5:15:32 time: 0.4278 data_time: 0.0532 memory: 1833 loss: 1.4003 loss_prob: 0.7915 loss_thr: 0.4759 loss_db: 0.1329 2022/12/19 21:06:27 - mmengine - INFO - Epoch(train) [172][15/79] lr: 6.0947e-03 eta: 5:15:29 time: 0.2321 data_time: 0.0007 memory: 1833 loss: 1.4217 loss_prob: 0.8057 loss_thr: 0.4739 loss_db: 0.1420 2022/12/19 21:06:28 - mmengine - INFO - Epoch(train) [172][20/79] lr: 6.0947e-03 eta: 5:15:27 time: 0.2000 data_time: 0.0007 memory: 1833 loss: 1.5018 loss_prob: 0.8474 loss_thr: 0.5050 loss_db: 0.1495 2022/12/19 21:06:29 - mmengine - INFO - Epoch(train) [172][25/79] lr: 6.0947e-03 eta: 5:15:25 time: 0.2028 data_time: 0.0007 memory: 1833 loss: 1.4067 loss_prob: 0.7805 loss_thr: 0.4888 loss_db: 0.1374 2022/12/19 21:06:31 - mmengine - INFO - Epoch(train) [172][30/79] lr: 6.0947e-03 eta: 5:15:23 time: 0.2049 data_time: 0.0007 memory: 1833 loss: 1.4298 loss_prob: 0.8035 loss_thr: 0.4867 loss_db: 0.1396 2022/12/19 21:06:32 - mmengine - INFO - Epoch(train) [172][35/79] lr: 6.0947e-03 eta: 5:15:22 time: 0.2258 data_time: 0.0007 memory: 1833 loss: 1.4830 loss_prob: 0.8532 loss_thr: 0.4852 loss_db: 0.1446 2022/12/19 21:06:33 - mmengine - INFO - Epoch(train) [172][40/79] lr: 6.0947e-03 eta: 5:15:20 time: 0.2198 data_time: 0.0007 memory: 1833 loss: 1.6081 loss_prob: 0.9356 loss_thr: 0.5121 loss_db: 0.1604 2022/12/19 21:06:34 - mmengine - INFO - Epoch(train) [172][45/79] lr: 6.0947e-03 eta: 5:15:19 time: 0.2225 data_time: 0.0008 memory: 1833 loss: 1.5379 loss_prob: 0.8783 loss_thr: 0.5100 loss_db: 0.1495 2022/12/19 21:06:35 - mmengine - INFO - Epoch(train) [172][50/79] lr: 6.0947e-03 eta: 5:15:18 time: 0.2295 data_time: 0.0007 memory: 1833 loss: 1.3246 loss_prob: 0.7409 loss_thr: 0.4549 loss_db: 0.1288 2022/12/19 21:06:36 - mmengine - INFO - Epoch(train) [172][55/79] lr: 6.0947e-03 eta: 5:15:16 time: 0.2116 data_time: 0.0007 memory: 1833 loss: 1.3544 loss_prob: 0.7553 loss_thr: 0.4646 loss_db: 0.1346 2022/12/19 21:06:37 - mmengine - INFO - Epoch(train) [172][60/79] lr: 6.0947e-03 eta: 5:15:14 time: 0.1999 data_time: 0.0006 memory: 1833 loss: 1.4521 loss_prob: 0.8143 loss_thr: 0.4978 loss_db: 0.1400 2022/12/19 21:06:38 - mmengine - INFO - Epoch(train) [172][65/79] lr: 6.0947e-03 eta: 5:15:12 time: 0.2093 data_time: 0.0006 memory: 1833 loss: 1.4416 loss_prob: 0.8114 loss_thr: 0.4918 loss_db: 0.1385 2022/12/19 21:06:39 - mmengine - INFO - Epoch(train) [172][70/79] lr: 6.0947e-03 eta: 5:15:10 time: 0.2158 data_time: 0.0006 memory: 1833 loss: 1.4338 loss_prob: 0.8209 loss_thr: 0.4716 loss_db: 0.1413 2022/12/19 21:06:40 - mmengine - INFO - Epoch(train) [172][75/79] lr: 6.0947e-03 eta: 5:15:08 time: 0.2065 data_time: 0.0006 memory: 1833 loss: 1.3757 loss_prob: 0.7903 loss_thr: 0.4467 loss_db: 0.1387 2022/12/19 21:06:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:06:43 - mmengine - INFO - Epoch(train) [173][5/79] lr: 6.0894e-03 eta: 5:15:10 time: 0.2945 data_time: 0.0316 memory: 1833 loss: 1.3304 loss_prob: 0.7452 loss_thr: 0.4547 loss_db: 0.1306 2022/12/19 21:06:44 - mmengine - INFO - Epoch(train) [173][10/79] lr: 6.0894e-03 eta: 5:15:09 time: 0.3202 data_time: 0.0317 memory: 1833 loss: 1.3318 loss_prob: 0.7338 loss_thr: 0.4677 loss_db: 0.1303 2022/12/19 21:06:45 - mmengine - INFO - Epoch(train) [173][15/79] lr: 6.0894e-03 eta: 5:15:07 time: 0.2315 data_time: 0.0007 memory: 1833 loss: 1.3639 loss_prob: 0.7574 loss_thr: 0.4730 loss_db: 0.1335 2022/12/19 21:06:46 - mmengine - INFO - Epoch(train) [173][20/79] lr: 6.0894e-03 eta: 5:15:06 time: 0.2108 data_time: 0.0007 memory: 1833 loss: 1.5013 loss_prob: 0.8525 loss_thr: 0.5013 loss_db: 0.1475 2022/12/19 21:06:47 - mmengine - INFO - Epoch(train) [173][25/79] lr: 6.0894e-03 eta: 5:15:04 time: 0.2216 data_time: 0.0007 memory: 1833 loss: 1.4138 loss_prob: 0.7773 loss_thr: 0.5023 loss_db: 0.1342 2022/12/19 21:06:49 - mmengine - INFO - Epoch(train) [173][30/79] lr: 6.0894e-03 eta: 5:15:04 time: 0.2383 data_time: 0.0007 memory: 1833 loss: 1.3068 loss_prob: 0.7157 loss_thr: 0.4653 loss_db: 0.1257 2022/12/19 21:06:50 - mmengine - INFO - Epoch(train) [173][35/79] lr: 6.0894e-03 eta: 5:15:02 time: 0.2256 data_time: 0.0007 memory: 1833 loss: 1.5923 loss_prob: 0.9392 loss_thr: 0.4968 loss_db: 0.1563 2022/12/19 21:06:51 - mmengine - INFO - Epoch(train) [173][40/79] lr: 6.0894e-03 eta: 5:15:00 time: 0.2098 data_time: 0.0007 memory: 1833 loss: 1.6180 loss_prob: 0.9509 loss_thr: 0.5084 loss_db: 0.1587 2022/12/19 21:06:52 - mmengine - INFO - Epoch(train) [173][45/79] lr: 6.0894e-03 eta: 5:14:59 time: 0.2283 data_time: 0.0009 memory: 1833 loss: 1.3901 loss_prob: 0.7807 loss_thr: 0.4739 loss_db: 0.1355 2022/12/19 21:06:53 - mmengine - INFO - Epoch(train) [173][50/79] lr: 6.0894e-03 eta: 5:14:58 time: 0.2315 data_time: 0.0009 memory: 1833 loss: 1.3522 loss_prob: 0.7679 loss_thr: 0.4489 loss_db: 0.1354 2022/12/19 21:06:54 - mmengine - INFO - Epoch(train) [173][55/79] lr: 6.0894e-03 eta: 5:14:56 time: 0.2182 data_time: 0.0007 memory: 1833 loss: 1.4296 loss_prob: 0.8160 loss_thr: 0.4692 loss_db: 0.1444 2022/12/19 21:06:55 - mmengine - INFO - Epoch(train) [173][60/79] lr: 6.0894e-03 eta: 5:14:54 time: 0.2114 data_time: 0.0007 memory: 1833 loss: 1.5132 loss_prob: 0.8645 loss_thr: 0.4983 loss_db: 0.1504 2022/12/19 21:06:56 - mmengine - INFO - Epoch(train) [173][65/79] lr: 6.0894e-03 eta: 5:14:52 time: 0.2102 data_time: 0.0007 memory: 1833 loss: 1.4692 loss_prob: 0.8354 loss_thr: 0.4885 loss_db: 0.1452 2022/12/19 21:06:57 - mmengine - INFO - Epoch(train) [173][70/79] lr: 6.0894e-03 eta: 5:14:51 time: 0.2149 data_time: 0.0007 memory: 1833 loss: 1.4179 loss_prob: 0.7988 loss_thr: 0.4804 loss_db: 0.1386 2022/12/19 21:06:58 - mmengine - INFO - Epoch(train) [173][75/79] lr: 6.0894e-03 eta: 5:14:48 time: 0.2078 data_time: 0.0007 memory: 1833 loss: 1.2408 loss_prob: 0.6835 loss_thr: 0.4358 loss_db: 0.1215 2022/12/19 21:06:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:07:02 - mmengine - INFO - Epoch(train) [174][5/79] lr: 6.0841e-03 eta: 5:14:56 time: 0.3974 data_time: 0.2040 memory: 1833 loss: 1.4242 loss_prob: 0.8023 loss_thr: 0.4817 loss_db: 0.1402 2022/12/19 21:07:03 - mmengine - INFO - Epoch(train) [174][10/79] lr: 6.0841e-03 eta: 5:14:55 time: 0.4138 data_time: 0.2041 memory: 1833 loss: 1.3152 loss_prob: 0.7325 loss_thr: 0.4542 loss_db: 0.1284 2022/12/19 21:07:05 - mmengine - INFO - Epoch(train) [174][15/79] lr: 6.0841e-03 eta: 5:14:54 time: 0.2342 data_time: 0.0009 memory: 1833 loss: 1.3555 loss_prob: 0.7442 loss_thr: 0.4802 loss_db: 0.1310 2022/12/19 21:07:06 - mmengine - INFO - Epoch(train) [174][20/79] lr: 6.0841e-03 eta: 5:14:53 time: 0.2289 data_time: 0.0009 memory: 1833 loss: 1.5462 loss_prob: 0.8641 loss_thr: 0.5319 loss_db: 0.1502 2022/12/19 21:07:07 - mmengine - INFO - Epoch(train) [174][25/79] lr: 6.0841e-03 eta: 5:14:50 time: 0.1991 data_time: 0.0008 memory: 1833 loss: 1.5108 loss_prob: 0.8584 loss_thr: 0.5070 loss_db: 0.1454 2022/12/19 21:07:08 - mmengine - INFO - Epoch(train) [174][30/79] lr: 6.0841e-03 eta: 5:14:51 time: 0.2382 data_time: 0.0009 memory: 1833 loss: 1.4361 loss_prob: 0.8160 loss_thr: 0.4800 loss_db: 0.1401 2022/12/19 21:07:09 - mmengine - INFO - Epoch(train) [174][35/79] lr: 6.0841e-03 eta: 5:14:49 time: 0.2617 data_time: 0.0009 memory: 1833 loss: 1.3748 loss_prob: 0.7732 loss_thr: 0.4649 loss_db: 0.1367 2022/12/19 21:07:10 - mmengine - INFO - Epoch(train) [174][40/79] lr: 6.0841e-03 eta: 5:14:49 time: 0.2389 data_time: 0.0008 memory: 1833 loss: 1.3302 loss_prob: 0.7382 loss_thr: 0.4636 loss_db: 0.1284 2022/12/19 21:07:12 - mmengine - INFO - Epoch(train) [174][45/79] lr: 6.0841e-03 eta: 5:14:49 time: 0.2612 data_time: 0.0008 memory: 1833 loss: 1.3374 loss_prob: 0.7432 loss_thr: 0.4668 loss_db: 0.1274 2022/12/19 21:07:13 - mmengine - INFO - Epoch(train) [174][50/79] lr: 6.0841e-03 eta: 5:14:46 time: 0.2337 data_time: 0.0008 memory: 1833 loss: 1.4721 loss_prob: 0.8553 loss_thr: 0.4753 loss_db: 0.1415 2022/12/19 21:07:14 - mmengine - INFO - Epoch(train) [174][55/79] lr: 6.0841e-03 eta: 5:14:45 time: 0.2059 data_time: 0.0007 memory: 1833 loss: 1.5005 loss_prob: 0.8725 loss_thr: 0.4842 loss_db: 0.1438 2022/12/19 21:07:15 - mmengine - INFO - Epoch(train) [174][60/79] lr: 6.0841e-03 eta: 5:14:43 time: 0.2114 data_time: 0.0007 memory: 1833 loss: 1.2552 loss_prob: 0.6925 loss_thr: 0.4438 loss_db: 0.1189 2022/12/19 21:07:16 - mmengine - INFO - Epoch(train) [174][65/79] lr: 6.0841e-03 eta: 5:14:40 time: 0.2011 data_time: 0.0007 memory: 1833 loss: 1.3625 loss_prob: 0.7696 loss_thr: 0.4616 loss_db: 0.1312 2022/12/19 21:07:17 - mmengine - INFO - Epoch(train) [174][70/79] lr: 6.0841e-03 eta: 5:14:40 time: 0.2314 data_time: 0.0008 memory: 1833 loss: 1.5525 loss_prob: 0.8935 loss_thr: 0.5099 loss_db: 0.1492 2022/12/19 21:07:19 - mmengine - INFO - Epoch(train) [174][75/79] lr: 6.0841e-03 eta: 5:14:40 time: 0.2690 data_time: 0.0008 memory: 1833 loss: 1.4669 loss_prob: 0.8356 loss_thr: 0.4897 loss_db: 0.1416 2022/12/19 21:07:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:07:22 - mmengine - INFO - Epoch(train) [175][5/79] lr: 6.0787e-03 eta: 5:14:44 time: 0.3263 data_time: 0.0287 memory: 1833 loss: 1.4494 loss_prob: 0.8215 loss_thr: 0.4875 loss_db: 0.1404 2022/12/19 21:07:23 - mmengine - INFO - Epoch(train) [175][10/79] lr: 6.0787e-03 eta: 5:14:42 time: 0.3193 data_time: 0.0288 memory: 1833 loss: 1.4044 loss_prob: 0.7898 loss_thr: 0.4764 loss_db: 0.1382 2022/12/19 21:07:24 - mmengine - INFO - Epoch(train) [175][15/79] lr: 6.0787e-03 eta: 5:14:42 time: 0.2541 data_time: 0.0009 memory: 1833 loss: 1.3562 loss_prob: 0.7643 loss_thr: 0.4571 loss_db: 0.1347 2022/12/19 21:07:25 - mmengine - INFO - Epoch(train) [175][20/79] lr: 6.0787e-03 eta: 5:14:40 time: 0.2453 data_time: 0.0009 memory: 1833 loss: 1.5152 loss_prob: 0.8734 loss_thr: 0.4914 loss_db: 0.1504 2022/12/19 21:07:26 - mmengine - INFO - Epoch(train) [175][25/79] lr: 6.0787e-03 eta: 5:14:39 time: 0.2128 data_time: 0.0008 memory: 1833 loss: 1.6810 loss_prob: 0.9968 loss_thr: 0.5245 loss_db: 0.1597 2022/12/19 21:07:27 - mmengine - INFO - Epoch(train) [175][30/79] lr: 6.0787e-03 eta: 5:14:38 time: 0.2270 data_time: 0.0007 memory: 1833 loss: 1.5419 loss_prob: 0.8906 loss_thr: 0.5065 loss_db: 0.1449 2022/12/19 21:07:28 - mmengine - INFO - Epoch(train) [175][35/79] lr: 6.0787e-03 eta: 5:14:36 time: 0.2160 data_time: 0.0007 memory: 1833 loss: 1.3235 loss_prob: 0.7272 loss_thr: 0.4706 loss_db: 0.1257 2022/12/19 21:07:30 - mmengine - INFO - Epoch(train) [175][40/79] lr: 6.0787e-03 eta: 5:14:35 time: 0.2246 data_time: 0.0008 memory: 1833 loss: 1.2977 loss_prob: 0.7209 loss_thr: 0.4542 loss_db: 0.1226 2022/12/19 21:07:31 - mmengine - INFO - Epoch(train) [175][45/79] lr: 6.0787e-03 eta: 5:14:33 time: 0.2329 data_time: 0.0009 memory: 1833 loss: 1.2691 loss_prob: 0.7041 loss_thr: 0.4427 loss_db: 0.1223 2022/12/19 21:07:32 - mmengine - INFO - Epoch(train) [175][50/79] lr: 6.0787e-03 eta: 5:14:33 time: 0.2350 data_time: 0.0008 memory: 1833 loss: 1.4067 loss_prob: 0.7795 loss_thr: 0.4950 loss_db: 0.1323 2022/12/19 21:07:33 - mmengine - INFO - Epoch(train) [175][55/79] lr: 6.0787e-03 eta: 5:14:31 time: 0.2291 data_time: 0.0007 memory: 1833 loss: 1.4902 loss_prob: 0.8368 loss_thr: 0.5099 loss_db: 0.1435 2022/12/19 21:07:34 - mmengine - INFO - Epoch(train) [175][60/79] lr: 6.0787e-03 eta: 5:14:29 time: 0.2115 data_time: 0.0006 memory: 1833 loss: 1.5590 loss_prob: 0.8774 loss_thr: 0.5288 loss_db: 0.1528 2022/12/19 21:07:35 - mmengine - INFO - Epoch(train) [175][65/79] lr: 6.0787e-03 eta: 5:14:27 time: 0.2145 data_time: 0.0006 memory: 1833 loss: 1.5110 loss_prob: 0.8483 loss_thr: 0.5168 loss_db: 0.1460 2022/12/19 21:07:36 - mmengine - INFO - Epoch(train) [175][70/79] lr: 6.0787e-03 eta: 5:14:25 time: 0.2061 data_time: 0.0006 memory: 1833 loss: 1.3886 loss_prob: 0.7931 loss_thr: 0.4598 loss_db: 0.1357 2022/12/19 21:07:37 - mmengine - INFO - Epoch(train) [175][75/79] lr: 6.0787e-03 eta: 5:14:23 time: 0.1931 data_time: 0.0006 memory: 1833 loss: 1.4981 loss_prob: 0.8666 loss_thr: 0.4865 loss_db: 0.1449 2022/12/19 21:07:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:07:40 - mmengine - INFO - Epoch(train) [176][5/79] lr: 6.0734e-03 eta: 5:14:28 time: 0.3566 data_time: 0.0660 memory: 1833 loss: 1.2359 loss_prob: 0.6656 loss_thr: 0.4522 loss_db: 0.1181 2022/12/19 21:07:42 - mmengine - INFO - Epoch(train) [176][10/79] lr: 6.0734e-03 eta: 5:14:27 time: 0.3785 data_time: 0.0662 memory: 1833 loss: 1.3482 loss_prob: 0.7509 loss_thr: 0.4650 loss_db: 0.1323 2022/12/19 21:07:43 - mmengine - INFO - Epoch(train) [176][15/79] lr: 6.0734e-03 eta: 5:14:25 time: 0.2297 data_time: 0.0009 memory: 1833 loss: 1.3316 loss_prob: 0.7529 loss_thr: 0.4495 loss_db: 0.1291 2022/12/19 21:07:44 - mmengine - INFO - Epoch(train) [176][20/79] lr: 6.0734e-03 eta: 5:14:23 time: 0.2080 data_time: 0.0008 memory: 1833 loss: 1.4223 loss_prob: 0.8025 loss_thr: 0.4864 loss_db: 0.1335 2022/12/19 21:07:45 - mmengine - INFO - Epoch(train) [176][25/79] lr: 6.0734e-03 eta: 5:14:22 time: 0.2082 data_time: 0.0008 memory: 1833 loss: 1.5020 loss_prob: 0.8380 loss_thr: 0.5264 loss_db: 0.1376 2022/12/19 21:07:46 - mmengine - INFO - Epoch(train) [176][30/79] lr: 6.0734e-03 eta: 5:14:20 time: 0.2226 data_time: 0.0008 memory: 1833 loss: 1.4406 loss_prob: 0.7934 loss_thr: 0.5130 loss_db: 0.1342 2022/12/19 21:07:47 - mmengine - INFO - Epoch(train) [176][35/79] lr: 6.0734e-03 eta: 5:14:19 time: 0.2242 data_time: 0.0008 memory: 1833 loss: 1.4079 loss_prob: 0.7760 loss_thr: 0.4986 loss_db: 0.1333 2022/12/19 21:07:48 - mmengine - INFO - Epoch(train) [176][40/79] lr: 6.0734e-03 eta: 5:14:17 time: 0.2132 data_time: 0.0008 memory: 1833 loss: 1.5863 loss_prob: 0.9165 loss_thr: 0.5183 loss_db: 0.1515 2022/12/19 21:07:49 - mmengine - INFO - Epoch(train) [176][45/79] lr: 6.0734e-03 eta: 5:14:15 time: 0.2083 data_time: 0.0008 memory: 1833 loss: 1.5977 loss_prob: 0.9422 loss_thr: 0.4996 loss_db: 0.1559 2022/12/19 21:07:50 - mmengine - INFO - Epoch(train) [176][50/79] lr: 6.0734e-03 eta: 5:14:14 time: 0.2223 data_time: 0.0007 memory: 1833 loss: 1.3493 loss_prob: 0.7709 loss_thr: 0.4451 loss_db: 0.1333 2022/12/19 21:07:51 - mmengine - INFO - Epoch(train) [176][55/79] lr: 6.0734e-03 eta: 5:14:12 time: 0.2183 data_time: 0.0007 memory: 1833 loss: 1.3286 loss_prob: 0.7485 loss_thr: 0.4500 loss_db: 0.1302 2022/12/19 21:07:52 - mmengine - INFO - Epoch(train) [176][60/79] lr: 6.0734e-03 eta: 5:14:10 time: 0.2115 data_time: 0.0007 memory: 1833 loss: 1.4038 loss_prob: 0.7928 loss_thr: 0.4736 loss_db: 0.1375 2022/12/19 21:07:53 - mmengine - INFO - Epoch(train) [176][65/79] lr: 6.0734e-03 eta: 5:14:08 time: 0.2021 data_time: 0.0009 memory: 1833 loss: 1.4303 loss_prob: 0.8090 loss_thr: 0.4791 loss_db: 0.1422 2022/12/19 21:07:54 - mmengine - INFO - Epoch(train) [176][70/79] lr: 6.0734e-03 eta: 5:14:06 time: 0.1925 data_time: 0.0009 memory: 1833 loss: 1.4902 loss_prob: 0.8411 loss_thr: 0.5025 loss_db: 0.1467 2022/12/19 21:07:56 - mmengine - INFO - Epoch(train) [176][75/79] lr: 6.0734e-03 eta: 5:14:05 time: 0.2348 data_time: 0.0008 memory: 1833 loss: 1.3702 loss_prob: 0.7653 loss_thr: 0.4728 loss_db: 0.1321 2022/12/19 21:07:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:07:59 - mmengine - INFO - Epoch(train) [177][5/79] lr: 6.0681e-03 eta: 5:14:09 time: 0.3356 data_time: 0.0500 memory: 1833 loss: 1.3938 loss_prob: 0.7704 loss_thr: 0.4872 loss_db: 0.1361 2022/12/19 21:08:00 - mmengine - INFO - Epoch(train) [177][10/79] lr: 6.0681e-03 eta: 5:14:07 time: 0.3327 data_time: 0.0499 memory: 1833 loss: 1.3789 loss_prob: 0.7696 loss_thr: 0.4749 loss_db: 0.1343 2022/12/19 21:08:01 - mmengine - INFO - Epoch(train) [177][15/79] lr: 6.0681e-03 eta: 5:14:06 time: 0.2206 data_time: 0.0008 memory: 1833 loss: 1.4516 loss_prob: 0.8217 loss_thr: 0.4892 loss_db: 0.1408 2022/12/19 21:08:02 - mmengine - INFO - Epoch(train) [177][20/79] lr: 6.0681e-03 eta: 5:14:03 time: 0.2063 data_time: 0.0008 memory: 1833 loss: 1.4825 loss_prob: 0.8472 loss_thr: 0.4931 loss_db: 0.1423 2022/12/19 21:08:03 - mmengine - INFO - Epoch(train) [177][25/79] lr: 6.0681e-03 eta: 5:14:02 time: 0.2113 data_time: 0.0008 memory: 1833 loss: 1.3638 loss_prob: 0.7726 loss_thr: 0.4600 loss_db: 0.1313 2022/12/19 21:08:04 - mmengine - INFO - Epoch(train) [177][30/79] lr: 6.0681e-03 eta: 5:14:01 time: 0.2320 data_time: 0.0008 memory: 1833 loss: 1.3621 loss_prob: 0.7709 loss_thr: 0.4597 loss_db: 0.1315 2022/12/19 21:08:05 - mmengine - INFO - Epoch(train) [177][35/79] lr: 6.0681e-03 eta: 5:13:58 time: 0.2064 data_time: 0.0008 memory: 1833 loss: 1.5201 loss_prob: 0.8691 loss_thr: 0.5008 loss_db: 0.1502 2022/12/19 21:08:06 - mmengine - INFO - Epoch(train) [177][40/79] lr: 6.0681e-03 eta: 5:13:57 time: 0.2095 data_time: 0.0007 memory: 1833 loss: 1.4677 loss_prob: 0.8312 loss_thr: 0.4926 loss_db: 0.1439 2022/12/19 21:08:07 - mmengine - INFO - Epoch(train) [177][45/79] lr: 6.0681e-03 eta: 5:13:56 time: 0.2371 data_time: 0.0007 memory: 1833 loss: 1.4915 loss_prob: 0.8414 loss_thr: 0.5096 loss_db: 0.1405 2022/12/19 21:08:08 - mmengine - INFO - Epoch(train) [177][50/79] lr: 6.0681e-03 eta: 5:13:54 time: 0.2192 data_time: 0.0007 memory: 1833 loss: 1.5268 loss_prob: 0.8700 loss_thr: 0.5087 loss_db: 0.1481 2022/12/19 21:08:10 - mmengine - INFO - Epoch(train) [177][55/79] lr: 6.0681e-03 eta: 5:13:53 time: 0.2105 data_time: 0.0007 memory: 1833 loss: 1.3267 loss_prob: 0.7547 loss_thr: 0.4384 loss_db: 0.1336 2022/12/19 21:08:11 - mmengine - INFO - Epoch(train) [177][60/79] lr: 6.0681e-03 eta: 5:13:50 time: 0.2079 data_time: 0.0007 memory: 1833 loss: 1.2820 loss_prob: 0.7142 loss_thr: 0.4405 loss_db: 0.1274 2022/12/19 21:08:12 - mmengine - INFO - Epoch(train) [177][65/79] lr: 6.0681e-03 eta: 5:13:49 time: 0.2026 data_time: 0.0007 memory: 1833 loss: 1.4283 loss_prob: 0.8012 loss_thr: 0.4889 loss_db: 0.1383 2022/12/19 21:08:13 - mmengine - INFO - Epoch(train) [177][70/79] lr: 6.0681e-03 eta: 5:13:47 time: 0.2071 data_time: 0.0008 memory: 1833 loss: 1.4866 loss_prob: 0.8353 loss_thr: 0.5075 loss_db: 0.1439 2022/12/19 21:08:14 - mmengine - INFO - Epoch(train) [177][75/79] lr: 6.0681e-03 eta: 5:13:46 time: 0.2288 data_time: 0.0008 memory: 1833 loss: 1.4360 loss_prob: 0.8070 loss_thr: 0.4904 loss_db: 0.1386 2022/12/19 21:08:15 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:08:16 - mmengine - INFO - Epoch(train) [178][5/79] lr: 6.0627e-03 eta: 5:13:46 time: 0.2628 data_time: 0.0625 memory: 1833 loss: 1.4624 loss_prob: 0.8610 loss_thr: 0.4654 loss_db: 0.1360 2022/12/19 21:08:17 - mmengine - INFO - Epoch(train) [178][10/79] lr: 6.0627e-03 eta: 5:13:44 time: 0.2739 data_time: 0.0626 memory: 1833 loss: 1.3229 loss_prob: 0.7374 loss_thr: 0.4596 loss_db: 0.1260 2022/12/19 21:08:18 - mmengine - INFO - Epoch(train) [178][15/79] lr: 6.0627e-03 eta: 5:13:43 time: 0.2185 data_time: 0.0008 memory: 1833 loss: 1.3427 loss_prob: 0.7468 loss_thr: 0.4707 loss_db: 0.1252 2022/12/19 21:08:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:08:20 - mmengine - INFO - Epoch(train) [178][20/79] lr: 6.0627e-03 eta: 5:13:41 time: 0.2178 data_time: 0.0008 memory: 1833 loss: 1.3757 loss_prob: 0.7712 loss_thr: 0.4737 loss_db: 0.1307 2022/12/19 21:08:21 - mmengine - INFO - Epoch(train) [178][25/79] lr: 6.0627e-03 eta: 5:13:39 time: 0.2178 data_time: 0.0008 memory: 1833 loss: 1.3949 loss_prob: 0.7915 loss_thr: 0.4640 loss_db: 0.1394 2022/12/19 21:08:22 - mmengine - INFO - Epoch(train) [178][30/79] lr: 6.0627e-03 eta: 5:13:37 time: 0.2061 data_time: 0.0008 memory: 1833 loss: 1.4694 loss_prob: 0.8350 loss_thr: 0.4895 loss_db: 0.1449 2022/12/19 21:08:23 - mmengine - INFO - Epoch(train) [178][35/79] lr: 6.0627e-03 eta: 5:13:35 time: 0.2052 data_time: 0.0007 memory: 1833 loss: 1.4883 loss_prob: 0.8452 loss_thr: 0.4969 loss_db: 0.1462 2022/12/19 21:08:24 - mmengine - INFO - Epoch(train) [178][40/79] lr: 6.0627e-03 eta: 5:13:34 time: 0.2226 data_time: 0.0007 memory: 1833 loss: 1.4195 loss_prob: 0.7905 loss_thr: 0.4921 loss_db: 0.1369 2022/12/19 21:08:25 - mmengine - INFO - Epoch(train) [178][45/79] lr: 6.0627e-03 eta: 5:13:33 time: 0.2291 data_time: 0.0007 memory: 1833 loss: 1.4099 loss_prob: 0.7822 loss_thr: 0.4930 loss_db: 0.1347 2022/12/19 21:08:26 - mmengine - INFO - Epoch(train) [178][50/79] lr: 6.0627e-03 eta: 5:13:31 time: 0.2227 data_time: 0.0007 memory: 1833 loss: 1.3436 loss_prob: 0.7562 loss_thr: 0.4559 loss_db: 0.1315 2022/12/19 21:08:27 - mmengine - INFO - Epoch(train) [178][55/79] lr: 6.0627e-03 eta: 5:13:29 time: 0.1980 data_time: 0.0007 memory: 1833 loss: 1.3991 loss_prob: 0.7901 loss_thr: 0.4712 loss_db: 0.1378 2022/12/19 21:08:28 - mmengine - INFO - Epoch(train) [178][60/79] lr: 6.0627e-03 eta: 5:13:29 time: 0.2367 data_time: 0.0007 memory: 1833 loss: 1.4948 loss_prob: 0.8563 loss_thr: 0.4926 loss_db: 0.1459 2022/12/19 21:08:30 - mmengine - INFO - Epoch(train) [178][65/79] lr: 6.0627e-03 eta: 5:13:27 time: 0.2517 data_time: 0.0007 memory: 1833 loss: 1.5713 loss_prob: 0.9166 loss_thr: 0.4951 loss_db: 0.1596 2022/12/19 21:08:31 - mmengine - INFO - Epoch(train) [178][70/79] lr: 6.0627e-03 eta: 5:13:26 time: 0.2284 data_time: 0.0008 memory: 1833 loss: 1.4974 loss_prob: 0.8636 loss_thr: 0.4835 loss_db: 0.1504 2022/12/19 21:08:32 - mmengine - INFO - Epoch(train) [178][75/79] lr: 6.0627e-03 eta: 5:13:25 time: 0.2320 data_time: 0.0008 memory: 1833 loss: 1.4719 loss_prob: 0.8536 loss_thr: 0.4750 loss_db: 0.1432 2022/12/19 21:08:33 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:08:35 - mmengine - INFO - Epoch(train) [179][5/79] lr: 6.0574e-03 eta: 5:13:27 time: 0.3029 data_time: 0.0675 memory: 1833 loss: 1.4078 loss_prob: 0.7930 loss_thr: 0.4772 loss_db: 0.1376 2022/12/19 21:08:36 - mmengine - INFO - Epoch(train) [179][10/79] lr: 6.0574e-03 eta: 5:13:25 time: 0.3198 data_time: 0.0676 memory: 1833 loss: 1.2700 loss_prob: 0.6986 loss_thr: 0.4531 loss_db: 0.1183 2022/12/19 21:08:37 - mmengine - INFO - Epoch(train) [179][15/79] lr: 6.0574e-03 eta: 5:13:25 time: 0.2393 data_time: 0.0008 memory: 1833 loss: 1.5473 loss_prob: 0.8967 loss_thr: 0.5017 loss_db: 0.1489 2022/12/19 21:08:38 - mmengine - INFO - Epoch(train) [179][20/79] lr: 6.0574e-03 eta: 5:13:23 time: 0.2253 data_time: 0.0008 memory: 1833 loss: 1.5879 loss_prob: 0.9275 loss_thr: 0.5023 loss_db: 0.1580 2022/12/19 21:08:39 - mmengine - INFO - Epoch(train) [179][25/79] lr: 6.0574e-03 eta: 5:13:21 time: 0.2033 data_time: 0.0008 memory: 1833 loss: 1.3060 loss_prob: 0.7346 loss_thr: 0.4423 loss_db: 0.1291 2022/12/19 21:08:40 - mmengine - INFO - Epoch(train) [179][30/79] lr: 6.0574e-03 eta: 5:13:19 time: 0.2097 data_time: 0.0008 memory: 1833 loss: 1.3018 loss_prob: 0.7240 loss_thr: 0.4519 loss_db: 0.1258 2022/12/19 21:08:41 - mmengine - INFO - Epoch(train) [179][35/79] lr: 6.0574e-03 eta: 5:13:18 time: 0.2197 data_time: 0.0008 memory: 1833 loss: 1.3903 loss_prob: 0.7750 loss_thr: 0.4813 loss_db: 0.1341 2022/12/19 21:08:42 - mmengine - INFO - Epoch(train) [179][40/79] lr: 6.0574e-03 eta: 5:13:16 time: 0.2180 data_time: 0.0007 memory: 1833 loss: 1.3204 loss_prob: 0.7415 loss_thr: 0.4513 loss_db: 0.1276 2022/12/19 21:08:43 - mmengine - INFO - Epoch(train) [179][45/79] lr: 6.0574e-03 eta: 5:13:15 time: 0.2261 data_time: 0.0007 memory: 1833 loss: 1.2610 loss_prob: 0.6877 loss_thr: 0.4528 loss_db: 0.1204 2022/12/19 21:08:45 - mmengine - INFO - Epoch(train) [179][50/79] lr: 6.0574e-03 eta: 5:13:14 time: 0.2466 data_time: 0.0009 memory: 1833 loss: 1.3048 loss_prob: 0.7096 loss_thr: 0.4706 loss_db: 0.1246 2022/12/19 21:08:46 - mmengine - INFO - Epoch(train) [179][55/79] lr: 6.0574e-03 eta: 5:13:13 time: 0.2344 data_time: 0.0009 memory: 1833 loss: 1.3565 loss_prob: 0.7567 loss_thr: 0.4690 loss_db: 0.1308 2022/12/19 21:08:47 - mmengine - INFO - Epoch(train) [179][60/79] lr: 6.0574e-03 eta: 5:13:11 time: 0.2205 data_time: 0.0007 memory: 1833 loss: 1.4196 loss_prob: 0.8065 loss_thr: 0.4755 loss_db: 0.1375 2022/12/19 21:08:48 - mmengine - INFO - Epoch(train) [179][65/79] lr: 6.0574e-03 eta: 5:13:10 time: 0.2298 data_time: 0.0008 memory: 1833 loss: 1.4725 loss_prob: 0.8425 loss_thr: 0.4865 loss_db: 0.1435 2022/12/19 21:08:49 - mmengine - INFO - Epoch(train) [179][70/79] lr: 6.0574e-03 eta: 5:13:08 time: 0.2205 data_time: 0.0007 memory: 1833 loss: 1.5971 loss_prob: 0.9277 loss_thr: 0.5115 loss_db: 0.1579 2022/12/19 21:08:50 - mmengine - INFO - Epoch(train) [179][75/79] lr: 6.0574e-03 eta: 5:13:08 time: 0.2332 data_time: 0.0007 memory: 1833 loss: 1.5716 loss_prob: 0.9176 loss_thr: 0.4985 loss_db: 0.1555 2022/12/19 21:08:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:08:53 - mmengine - INFO - Epoch(train) [180][5/79] lr: 6.0520e-03 eta: 5:13:10 time: 0.3166 data_time: 0.0320 memory: 1833 loss: 1.3698 loss_prob: 0.7736 loss_thr: 0.4624 loss_db: 0.1339 2022/12/19 21:08:54 - mmengine - INFO - Epoch(train) [180][10/79] lr: 6.0520e-03 eta: 5:13:09 time: 0.3179 data_time: 0.0321 memory: 1833 loss: 1.5227 loss_prob: 0.8798 loss_thr: 0.4969 loss_db: 0.1460 2022/12/19 21:08:55 - mmengine - INFO - Epoch(train) [180][15/79] lr: 6.0520e-03 eta: 5:13:07 time: 0.2125 data_time: 0.0008 memory: 1833 loss: 1.4936 loss_prob: 0.8570 loss_thr: 0.4947 loss_db: 0.1419 2022/12/19 21:08:57 - mmengine - INFO - Epoch(train) [180][20/79] lr: 6.0520e-03 eta: 5:13:06 time: 0.2230 data_time: 0.0008 memory: 1833 loss: 1.4569 loss_prob: 0.8216 loss_thr: 0.4926 loss_db: 0.1428 2022/12/19 21:08:58 - mmengine - INFO - Epoch(train) [180][25/79] lr: 6.0520e-03 eta: 5:13:04 time: 0.2264 data_time: 0.0009 memory: 1833 loss: 1.4747 loss_prob: 0.8298 loss_thr: 0.5009 loss_db: 0.1441 2022/12/19 21:08:59 - mmengine - INFO - Epoch(train) [180][30/79] lr: 6.0520e-03 eta: 5:13:03 time: 0.2220 data_time: 0.0008 memory: 1833 loss: 1.3562 loss_prob: 0.7589 loss_thr: 0.4649 loss_db: 0.1324 2022/12/19 21:09:00 - mmengine - INFO - Epoch(train) [180][35/79] lr: 6.0520e-03 eta: 5:13:01 time: 0.2142 data_time: 0.0008 memory: 1833 loss: 1.4145 loss_prob: 0.7992 loss_thr: 0.4747 loss_db: 0.1407 2022/12/19 21:09:01 - mmengine - INFO - Epoch(train) [180][40/79] lr: 6.0520e-03 eta: 5:13:01 time: 0.2446 data_time: 0.0010 memory: 1833 loss: 1.5306 loss_prob: 0.8751 loss_thr: 0.5022 loss_db: 0.1533 2022/12/19 21:09:02 - mmengine - INFO - Epoch(train) [180][45/79] lr: 6.0520e-03 eta: 5:13:00 time: 0.2587 data_time: 0.0009 memory: 1833 loss: 1.5771 loss_prob: 0.9103 loss_thr: 0.5124 loss_db: 0.1544 2022/12/19 21:09:04 - mmengine - INFO - Epoch(train) [180][50/79] lr: 6.0520e-03 eta: 5:12:59 time: 0.2355 data_time: 0.0008 memory: 1833 loss: 1.4721 loss_prob: 0.8367 loss_thr: 0.4936 loss_db: 0.1418 2022/12/19 21:09:05 - mmengine - INFO - Epoch(train) [180][55/79] lr: 6.0520e-03 eta: 5:12:57 time: 0.2235 data_time: 0.0007 memory: 1833 loss: 1.4441 loss_prob: 0.7988 loss_thr: 0.5068 loss_db: 0.1385 2022/12/19 21:09:06 - mmengine - INFO - Epoch(train) [180][60/79] lr: 6.0520e-03 eta: 5:12:55 time: 0.2049 data_time: 0.0007 memory: 1833 loss: 1.4526 loss_prob: 0.8196 loss_thr: 0.4883 loss_db: 0.1447 2022/12/19 21:09:07 - mmengine - INFO - Epoch(train) [180][65/79] lr: 6.0520e-03 eta: 5:12:53 time: 0.2117 data_time: 0.0007 memory: 1833 loss: 1.4265 loss_prob: 0.8089 loss_thr: 0.4808 loss_db: 0.1368 2022/12/19 21:09:08 - mmengine - INFO - Epoch(train) [180][70/79] lr: 6.0520e-03 eta: 5:12:51 time: 0.2060 data_time: 0.0007 memory: 1833 loss: 1.4671 loss_prob: 0.8282 loss_thr: 0.5018 loss_db: 0.1371 2022/12/19 21:09:09 - mmengine - INFO - Epoch(train) [180][75/79] lr: 6.0520e-03 eta: 5:12:49 time: 0.1993 data_time: 0.0007 memory: 1833 loss: 1.4193 loss_prob: 0.8131 loss_thr: 0.4685 loss_db: 0.1377 2022/12/19 21:09:10 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:09:10 - mmengine - INFO - Epoch(val) [180][5/75] eta: 0:00:01 time: 0.0278 data_time: 0.0128 memory: 1833 2022/12/19 21:09:10 - mmengine - INFO - Epoch(val) [180][10/75] eta: 0:00:01 time: 0.0197 data_time: 0.0026 memory: 425 2022/12/19 21:09:10 - mmengine - INFO - Epoch(val) [180][15/75] eta: 0:00:01 time: 0.0371 data_time: 0.0003 memory: 425 2022/12/19 21:09:10 - mmengine - INFO - Epoch(val) [180][20/75] eta: 0:00:01 time: 0.0379 data_time: 0.0003 memory: 425 2022/12/19 21:09:10 - mmengine - INFO - Epoch(val) [180][25/75] eta: 0:00:01 time: 0.0257 data_time: 0.0096 memory: 390 2022/12/19 21:09:11 - mmengine - INFO - Epoch(val) [180][30/75] eta: 0:00:01 time: 0.0731 data_time: 0.0423 memory: 390 2022/12/19 21:09:11 - mmengine - INFO - Epoch(val) [180][35/75] eta: 0:00:01 time: 0.0758 data_time: 0.0441 memory: 368 2022/12/19 21:09:11 - mmengine - INFO - Epoch(val) [180][40/75] eta: 0:00:01 time: 0.0421 data_time: 0.0232 memory: 390 2022/12/19 21:09:11 - mmengine - INFO - Epoch(val) [180][45/75] eta: 0:00:01 time: 0.0321 data_time: 0.0121 memory: 425 2022/12/19 21:09:12 - mmengine - INFO - Epoch(val) [180][50/75] eta: 0:00:00 time: 0.0180 data_time: 0.0003 memory: 430 2022/12/19 21:09:12 - mmengine - INFO - Epoch(val) [180][55/75] eta: 0:00:00 time: 0.0204 data_time: 0.0031 memory: 407 2022/12/19 21:09:12 - mmengine - INFO - Epoch(val) [180][60/75] eta: 0:00:00 time: 0.0266 data_time: 0.0031 memory: 390 2022/12/19 21:09:12 - mmengine - INFO - Epoch(val) [180][65/75] eta: 0:00:00 time: 0.0256 data_time: 0.0003 memory: 390 2022/12/19 21:09:12 - mmengine - INFO - Epoch(val) [180][70/75] eta: 0:00:00 time: 0.0299 data_time: 0.0003 memory: 425 2022/12/19 21:09:12 - mmengine - INFO - Epoch(val) [180][75/75] eta: 0:00:00 time: 0.0353 data_time: 0.0093 memory: 368 2022/12/19 21:09:12 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 21:09:12 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7883, precision: 0.6978, hmean: 0.7403 2022/12/19 21:09:12 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7883, precision: 0.7585, hmean: 0.7731 2022/12/19 21:09:12 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7837, precision: 0.8041, hmean: 0.7938 2022/12/19 21:09:12 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7616, precision: 0.8460, hmean: 0.8016 2022/12/19 21:09:12 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6605, precision: 0.8943, hmean: 0.7598 2022/12/19 21:09:12 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.2713, precision: 0.9435, hmean: 0.4215 2022/12/19 21:09:12 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0072, precision: 1.0000, hmean: 0.0143 2022/12/19 21:09:12 - mmengine - INFO - Epoch(val) [180][75/75] icdar/precision: 0.8460 icdar/recall: 0.7616 icdar/hmean: 0.8016 2022/12/19 21:09:14 - mmengine - INFO - Epoch(train) [181][5/79] lr: 6.0467e-03 eta: 5:12:50 time: 0.2880 data_time: 0.0329 memory: 1833 loss: 1.4718 loss_prob: 0.8261 loss_thr: 0.5013 loss_db: 0.1444 2022/12/19 21:09:15 - mmengine - INFO - Epoch(train) [181][10/79] lr: 6.0467e-03 eta: 5:12:49 time: 0.2998 data_time: 0.0329 memory: 1833 loss: 1.4060 loss_prob: 0.7743 loss_thr: 0.4966 loss_db: 0.1351 2022/12/19 21:09:17 - mmengine - INFO - Epoch(train) [181][15/79] lr: 6.0467e-03 eta: 5:12:49 time: 0.2481 data_time: 0.0009 memory: 1833 loss: 1.3905 loss_prob: 0.7755 loss_thr: 0.4837 loss_db: 0.1312 2022/12/19 21:09:18 - mmengine - INFO - Epoch(train) [181][20/79] lr: 6.0467e-03 eta: 5:12:47 time: 0.2495 data_time: 0.0010 memory: 1833 loss: 1.3263 loss_prob: 0.7492 loss_thr: 0.4503 loss_db: 0.1268 2022/12/19 21:09:19 - mmengine - INFO - Epoch(train) [181][25/79] lr: 6.0467e-03 eta: 5:12:45 time: 0.2084 data_time: 0.0008 memory: 1833 loss: 1.3857 loss_prob: 0.7868 loss_thr: 0.4632 loss_db: 0.1356 2022/12/19 21:09:20 - mmengine - INFO - Epoch(train) [181][30/79] lr: 6.0467e-03 eta: 5:12:43 time: 0.2025 data_time: 0.0007 memory: 1833 loss: 1.5326 loss_prob: 0.8837 loss_thr: 0.5025 loss_db: 0.1464 2022/12/19 21:09:21 - mmengine - INFO - Epoch(train) [181][35/79] lr: 6.0467e-03 eta: 5:12:42 time: 0.2168 data_time: 0.0008 memory: 1833 loss: 1.4924 loss_prob: 0.8591 loss_thr: 0.4894 loss_db: 0.1440 2022/12/19 21:09:22 - mmengine - INFO - Epoch(train) [181][40/79] lr: 6.0467e-03 eta: 5:12:41 time: 0.2275 data_time: 0.0008 memory: 1833 loss: 1.4794 loss_prob: 0.8398 loss_thr: 0.4944 loss_db: 0.1452 2022/12/19 21:09:23 - mmengine - INFO - Epoch(train) [181][45/79] lr: 6.0467e-03 eta: 5:12:39 time: 0.2257 data_time: 0.0008 memory: 1833 loss: 1.3787 loss_prob: 0.7722 loss_thr: 0.4735 loss_db: 0.1329 2022/12/19 21:09:24 - mmengine - INFO - Epoch(train) [181][50/79] lr: 6.0467e-03 eta: 5:12:38 time: 0.2203 data_time: 0.0007 memory: 1833 loss: 1.5252 loss_prob: 0.8826 loss_thr: 0.4989 loss_db: 0.1437 2022/12/19 21:09:25 - mmengine - INFO - Epoch(train) [181][55/79] lr: 6.0467e-03 eta: 5:12:36 time: 0.2165 data_time: 0.0007 memory: 1833 loss: 1.6870 loss_prob: 0.9826 loss_thr: 0.5449 loss_db: 0.1595 2022/12/19 21:09:26 - mmengine - INFO - Epoch(train) [181][60/79] lr: 6.0467e-03 eta: 5:12:34 time: 0.2075 data_time: 0.0007 memory: 1833 loss: 1.4085 loss_prob: 0.7950 loss_thr: 0.4817 loss_db: 0.1317 2022/12/19 21:09:27 - mmengine - INFO - Epoch(train) [181][65/79] lr: 6.0467e-03 eta: 5:12:32 time: 0.2084 data_time: 0.0006 memory: 1833 loss: 1.3249 loss_prob: 0.7612 loss_thr: 0.4358 loss_db: 0.1279 2022/12/19 21:09:28 - mmengine - INFO - Epoch(train) [181][70/79] lr: 6.0467e-03 eta: 5:12:30 time: 0.1970 data_time: 0.0006 memory: 1833 loss: 1.3164 loss_prob: 0.7573 loss_thr: 0.4277 loss_db: 0.1313 2022/12/19 21:09:29 - mmengine - INFO - Epoch(train) [181][75/79] lr: 6.0467e-03 eta: 5:12:27 time: 0.1878 data_time: 0.0006 memory: 1833 loss: 1.2353 loss_prob: 0.6839 loss_thr: 0.4348 loss_db: 0.1167 2022/12/19 21:09:30 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:09:32 - mmengine - INFO - Epoch(train) [182][5/79] lr: 6.0414e-03 eta: 5:12:27 time: 0.2729 data_time: 0.0758 memory: 1833 loss: 1.7829 loss_prob: 1.0630 loss_thr: 0.5521 loss_db: 0.1678 2022/12/19 21:09:33 - mmengine - INFO - Epoch(train) [182][10/79] lr: 6.0414e-03 eta: 5:12:28 time: 0.3240 data_time: 0.0760 memory: 1833 loss: 1.7153 loss_prob: 0.9930 loss_thr: 0.5536 loss_db: 0.1686 2022/12/19 21:09:34 - mmengine - INFO - Epoch(train) [182][15/79] lr: 6.0414e-03 eta: 5:12:26 time: 0.2537 data_time: 0.0009 memory: 1833 loss: 1.4826 loss_prob: 0.8352 loss_thr: 0.5008 loss_db: 0.1467 2022/12/19 21:09:36 - mmengine - INFO - Epoch(train) [182][20/79] lr: 6.0414e-03 eta: 5:12:25 time: 0.2275 data_time: 0.0008 memory: 1833 loss: 1.3636 loss_prob: 0.7586 loss_thr: 0.4739 loss_db: 0.1311 2022/12/19 21:09:37 - mmengine - INFO - Epoch(train) [182][25/79] lr: 6.0414e-03 eta: 5:12:23 time: 0.2248 data_time: 0.0008 memory: 1833 loss: 1.3577 loss_prob: 0.7590 loss_thr: 0.4657 loss_db: 0.1330 2022/12/19 21:09:38 - mmengine - INFO - Epoch(train) [182][30/79] lr: 6.0414e-03 eta: 5:12:23 time: 0.2217 data_time: 0.0008 memory: 1833 loss: 1.4571 loss_prob: 0.8237 loss_thr: 0.4910 loss_db: 0.1424 2022/12/19 21:09:39 - mmengine - INFO - Epoch(train) [182][35/79] lr: 6.0414e-03 eta: 5:12:21 time: 0.2398 data_time: 0.0008 memory: 1833 loss: 1.4744 loss_prob: 0.8412 loss_thr: 0.4886 loss_db: 0.1446 2022/12/19 21:09:40 - mmengine - INFO - Epoch(train) [182][40/79] lr: 6.0414e-03 eta: 5:12:19 time: 0.2122 data_time: 0.0008 memory: 1833 loss: 1.3792 loss_prob: 0.7780 loss_thr: 0.4661 loss_db: 0.1351 2022/12/19 21:09:41 - mmengine - INFO - Epoch(train) [182][45/79] lr: 6.0414e-03 eta: 5:12:17 time: 0.2021 data_time: 0.0009 memory: 1833 loss: 1.3716 loss_prob: 0.7735 loss_thr: 0.4659 loss_db: 0.1322 2022/12/19 21:09:42 - mmengine - INFO - Epoch(train) [182][50/79] lr: 6.0414e-03 eta: 5:12:16 time: 0.2133 data_time: 0.0009 memory: 1833 loss: 1.4782 loss_prob: 0.8265 loss_thr: 0.5096 loss_db: 0.1421 2022/12/19 21:09:43 - mmengine - INFO - Epoch(train) [182][55/79] lr: 6.0414e-03 eta: 5:12:15 time: 0.2259 data_time: 0.0008 memory: 1833 loss: 1.4778 loss_prob: 0.8214 loss_thr: 0.5126 loss_db: 0.1437 2022/12/19 21:09:44 - mmengine - INFO - Epoch(train) [182][60/79] lr: 6.0414e-03 eta: 5:12:13 time: 0.2276 data_time: 0.0007 memory: 1833 loss: 1.4680 loss_prob: 0.8300 loss_thr: 0.4946 loss_db: 0.1434 2022/12/19 21:09:45 - mmengine - INFO - Epoch(train) [182][65/79] lr: 6.0414e-03 eta: 5:12:11 time: 0.2014 data_time: 0.0007 memory: 1833 loss: 1.5036 loss_prob: 0.8476 loss_thr: 0.5120 loss_db: 0.1441 2022/12/19 21:09:46 - mmengine - INFO - Epoch(train) [182][70/79] lr: 6.0414e-03 eta: 5:12:08 time: 0.1866 data_time: 0.0007 memory: 1833 loss: 1.3895 loss_prob: 0.7683 loss_thr: 0.4905 loss_db: 0.1306 2022/12/19 21:09:47 - mmengine - INFO - Epoch(train) [182][75/79] lr: 6.0414e-03 eta: 5:12:06 time: 0.1989 data_time: 0.0007 memory: 1833 loss: 1.2873 loss_prob: 0.7135 loss_thr: 0.4488 loss_db: 0.1250 2022/12/19 21:09:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:09:51 - mmengine - INFO - Epoch(train) [183][5/79] lr: 6.0360e-03 eta: 5:12:11 time: 0.3474 data_time: 0.1386 memory: 1833 loss: 1.4703 loss_prob: 0.8343 loss_thr: 0.4940 loss_db: 0.1419 2022/12/19 21:09:52 - mmengine - INFO - Epoch(train) [183][10/79] lr: 6.0360e-03 eta: 5:12:10 time: 0.3707 data_time: 0.1387 memory: 1833 loss: 1.3689 loss_prob: 0.7663 loss_thr: 0.4702 loss_db: 0.1324 2022/12/19 21:09:53 - mmengine - INFO - Epoch(train) [183][15/79] lr: 6.0360e-03 eta: 5:12:09 time: 0.2370 data_time: 0.0008 memory: 1833 loss: 1.3916 loss_prob: 0.7806 loss_thr: 0.4763 loss_db: 0.1347 2022/12/19 21:09:54 - mmengine - INFO - Epoch(train) [183][20/79] lr: 6.0360e-03 eta: 5:12:07 time: 0.2354 data_time: 0.0008 memory: 1833 loss: 1.3747 loss_prob: 0.7715 loss_thr: 0.4694 loss_db: 0.1338 2022/12/19 21:09:55 - mmengine - INFO - Epoch(train) [183][25/79] lr: 6.0360e-03 eta: 5:12:06 time: 0.2195 data_time: 0.0008 memory: 1833 loss: 1.4090 loss_prob: 0.8021 loss_thr: 0.4738 loss_db: 0.1331 2022/12/19 21:09:56 - mmengine - INFO - Epoch(train) [183][30/79] lr: 6.0360e-03 eta: 5:12:05 time: 0.2289 data_time: 0.0007 memory: 1833 loss: 1.4039 loss_prob: 0.7997 loss_thr: 0.4696 loss_db: 0.1346 2022/12/19 21:09:57 - mmengine - INFO - Epoch(train) [183][35/79] lr: 6.0360e-03 eta: 5:12:03 time: 0.2256 data_time: 0.0008 memory: 1833 loss: 1.3214 loss_prob: 0.7410 loss_thr: 0.4498 loss_db: 0.1306 2022/12/19 21:09:58 - mmengine - INFO - Epoch(train) [183][40/79] lr: 6.0360e-03 eta: 5:12:01 time: 0.2138 data_time: 0.0009 memory: 1833 loss: 1.4126 loss_prob: 0.7945 loss_thr: 0.4811 loss_db: 0.1370 2022/12/19 21:09:59 - mmengine - INFO - Epoch(train) [183][45/79] lr: 6.0360e-03 eta: 5:11:59 time: 0.2062 data_time: 0.0008 memory: 1833 loss: 1.3520 loss_prob: 0.7560 loss_thr: 0.4649 loss_db: 0.1311 2022/12/19 21:10:00 - mmengine - INFO - Epoch(train) [183][50/79] lr: 6.0360e-03 eta: 5:11:57 time: 0.1981 data_time: 0.0007 memory: 1833 loss: 1.3953 loss_prob: 0.7956 loss_thr: 0.4658 loss_db: 0.1339 2022/12/19 21:10:01 - mmengine - INFO - Epoch(train) [183][55/79] lr: 6.0360e-03 eta: 5:11:55 time: 0.2084 data_time: 0.0006 memory: 1833 loss: 1.4267 loss_prob: 0.8140 loss_thr: 0.4776 loss_db: 0.1351 2022/12/19 21:10:02 - mmengine - INFO - Epoch(train) [183][60/79] lr: 6.0360e-03 eta: 5:11:53 time: 0.2075 data_time: 0.0006 memory: 1833 loss: 1.2177 loss_prob: 0.6648 loss_thr: 0.4392 loss_db: 0.1137 2022/12/19 21:10:04 - mmengine - INFO - Epoch(train) [183][65/79] lr: 6.0360e-03 eta: 5:11:52 time: 0.2142 data_time: 0.0007 memory: 1833 loss: 1.3554 loss_prob: 0.7495 loss_thr: 0.4757 loss_db: 0.1301 2022/12/19 21:10:05 - mmengine - INFO - Epoch(train) [183][70/79] lr: 6.0360e-03 eta: 5:11:49 time: 0.2028 data_time: 0.0008 memory: 1833 loss: 1.5445 loss_prob: 0.8704 loss_thr: 0.5227 loss_db: 0.1513 2022/12/19 21:10:06 - mmengine - INFO - Epoch(train) [183][75/79] lr: 6.0360e-03 eta: 5:11:49 time: 0.2230 data_time: 0.0009 memory: 1833 loss: 1.4303 loss_prob: 0.8042 loss_thr: 0.4864 loss_db: 0.1397 2022/12/19 21:10:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:10:09 - mmengine - INFO - Epoch(train) [184][5/79] lr: 6.0307e-03 eta: 5:11:50 time: 0.2929 data_time: 0.0342 memory: 1833 loss: 1.3972 loss_prob: 0.7825 loss_thr: 0.4780 loss_db: 0.1367 2022/12/19 21:10:10 - mmengine - INFO - Epoch(train) [184][10/79] lr: 6.0307e-03 eta: 5:11:49 time: 0.3116 data_time: 0.0343 memory: 1833 loss: 1.3068 loss_prob: 0.7151 loss_thr: 0.4664 loss_db: 0.1252 2022/12/19 21:10:11 - mmengine - INFO - Epoch(train) [184][15/79] lr: 6.0307e-03 eta: 5:11:49 time: 0.2501 data_time: 0.0009 memory: 1833 loss: 1.2595 loss_prob: 0.6955 loss_thr: 0.4428 loss_db: 0.1212 2022/12/19 21:10:12 - mmengine - INFO - Epoch(train) [184][20/79] lr: 6.0307e-03 eta: 5:11:48 time: 0.2495 data_time: 0.0009 memory: 1833 loss: 1.3692 loss_prob: 0.7643 loss_thr: 0.4709 loss_db: 0.1339 2022/12/19 21:10:13 - mmengine - INFO - Epoch(train) [184][25/79] lr: 6.0307e-03 eta: 5:11:47 time: 0.2360 data_time: 0.0008 memory: 1833 loss: 1.4117 loss_prob: 0.7927 loss_thr: 0.4818 loss_db: 0.1373 2022/12/19 21:10:14 - mmengine - INFO - Epoch(train) [184][30/79] lr: 6.0307e-03 eta: 5:11:45 time: 0.2278 data_time: 0.0008 memory: 1833 loss: 1.4229 loss_prob: 0.8018 loss_thr: 0.4837 loss_db: 0.1374 2022/12/19 21:10:16 - mmengine - INFO - Epoch(train) [184][35/79] lr: 6.0307e-03 eta: 5:11:43 time: 0.2152 data_time: 0.0008 memory: 1833 loss: 1.6424 loss_prob: 0.9491 loss_thr: 0.5329 loss_db: 0.1604 2022/12/19 21:10:17 - mmengine - INFO - Epoch(train) [184][40/79] lr: 6.0307e-03 eta: 5:11:41 time: 0.2058 data_time: 0.0008 memory: 1833 loss: 1.5733 loss_prob: 0.8973 loss_thr: 0.5228 loss_db: 0.1532 2022/12/19 21:10:18 - mmengine - INFO - Epoch(train) [184][45/79] lr: 6.0307e-03 eta: 5:11:39 time: 0.1971 data_time: 0.0007 memory: 1833 loss: 1.4146 loss_prob: 0.7915 loss_thr: 0.4867 loss_db: 0.1363 2022/12/19 21:10:19 - mmengine - INFO - Epoch(train) [184][50/79] lr: 6.0307e-03 eta: 5:11:37 time: 0.1952 data_time: 0.0008 memory: 1833 loss: 1.4627 loss_prob: 0.8282 loss_thr: 0.4939 loss_db: 0.1405 2022/12/19 21:10:20 - mmengine - INFO - Epoch(train) [184][55/79] lr: 6.0307e-03 eta: 5:11:35 time: 0.2082 data_time: 0.0007 memory: 1833 loss: 1.4951 loss_prob: 0.8529 loss_thr: 0.4969 loss_db: 0.1453 2022/12/19 21:10:21 - mmengine - INFO - Epoch(train) [184][60/79] lr: 6.0307e-03 eta: 5:11:34 time: 0.2140 data_time: 0.0007 memory: 1833 loss: 1.6637 loss_prob: 0.9818 loss_thr: 0.5251 loss_db: 0.1568 2022/12/19 21:10:22 - mmengine - INFO - Epoch(train) [184][65/79] lr: 6.0307e-03 eta: 5:11:33 time: 0.2360 data_time: 0.0008 memory: 1833 loss: 1.6749 loss_prob: 0.9881 loss_thr: 0.5277 loss_db: 0.1591 2022/12/19 21:10:23 - mmengine - INFO - Epoch(train) [184][70/79] lr: 6.0307e-03 eta: 5:11:32 time: 0.2376 data_time: 0.0008 memory: 1833 loss: 1.3988 loss_prob: 0.7851 loss_thr: 0.4789 loss_db: 0.1347 2022/12/19 21:10:24 - mmengine - INFO - Epoch(train) [184][75/79] lr: 6.0307e-03 eta: 5:11:29 time: 0.2047 data_time: 0.0008 memory: 1833 loss: 1.2620 loss_prob: 0.6892 loss_thr: 0.4552 loss_db: 0.1176 2022/12/19 21:10:25 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:10:28 - mmengine - INFO - Epoch(train) [185][5/79] lr: 6.0253e-03 eta: 5:11:35 time: 0.3763 data_time: 0.0388 memory: 1833 loss: 1.4744 loss_prob: 0.8296 loss_thr: 0.5019 loss_db: 0.1429 2022/12/19 21:10:29 - mmengine - INFO - Epoch(train) [185][10/79] lr: 6.0253e-03 eta: 5:11:34 time: 0.3896 data_time: 0.0387 memory: 1833 loss: 1.4621 loss_prob: 0.8171 loss_thr: 0.5032 loss_db: 0.1418 2022/12/19 21:10:30 - mmengine - INFO - Epoch(train) [185][15/79] lr: 6.0253e-03 eta: 5:11:32 time: 0.2075 data_time: 0.0008 memory: 1833 loss: 1.4825 loss_prob: 0.8150 loss_thr: 0.5270 loss_db: 0.1406 2022/12/19 21:10:31 - mmengine - INFO - Epoch(train) [185][20/79] lr: 6.0253e-03 eta: 5:11:30 time: 0.2132 data_time: 0.0008 memory: 1833 loss: 1.3551 loss_prob: 0.7469 loss_thr: 0.4791 loss_db: 0.1292 2022/12/19 21:10:32 - mmengine - INFO - Epoch(train) [185][25/79] lr: 6.0253e-03 eta: 5:11:29 time: 0.2369 data_time: 0.0008 memory: 1833 loss: 1.2037 loss_prob: 0.6631 loss_thr: 0.4265 loss_db: 0.1140 2022/12/19 21:10:33 - mmengine - INFO - Epoch(train) [185][30/79] lr: 6.0253e-03 eta: 5:11:28 time: 0.2290 data_time: 0.0008 memory: 1833 loss: 1.1958 loss_prob: 0.6460 loss_thr: 0.4365 loss_db: 0.1133 2022/12/19 21:10:34 - mmengine - INFO - Epoch(train) [185][35/79] lr: 6.0253e-03 eta: 5:11:26 time: 0.2047 data_time: 0.0007 memory: 1833 loss: 1.3839 loss_prob: 0.7774 loss_thr: 0.4721 loss_db: 0.1344 2022/12/19 21:10:35 - mmengine - INFO - Epoch(train) [185][40/79] lr: 6.0253e-03 eta: 5:11:25 time: 0.2250 data_time: 0.0008 memory: 1833 loss: 1.5161 loss_prob: 0.8626 loss_thr: 0.5069 loss_db: 0.1466 2022/12/19 21:10:36 - mmengine - INFO - Epoch(train) [185][45/79] lr: 6.0253e-03 eta: 5:11:23 time: 0.2351 data_time: 0.0008 memory: 1833 loss: 1.4409 loss_prob: 0.8133 loss_thr: 0.4865 loss_db: 0.1412 2022/12/19 21:10:38 - mmengine - INFO - Epoch(train) [185][50/79] lr: 6.0253e-03 eta: 5:11:23 time: 0.2399 data_time: 0.0017 memory: 1833 loss: 1.4297 loss_prob: 0.8077 loss_thr: 0.4835 loss_db: 0.1386 2022/12/19 21:10:39 - mmengine - INFO - Epoch(train) [185][55/79] lr: 6.0253e-03 eta: 5:11:22 time: 0.2499 data_time: 0.0017 memory: 1833 loss: 1.4820 loss_prob: 0.8385 loss_thr: 0.5012 loss_db: 0.1423 2022/12/19 21:10:40 - mmengine - INFO - Epoch(train) [185][60/79] lr: 6.0253e-03 eta: 5:11:22 time: 0.2510 data_time: 0.0008 memory: 1833 loss: 1.4809 loss_prob: 0.8458 loss_thr: 0.4923 loss_db: 0.1429 2022/12/19 21:10:41 - mmengine - INFO - Epoch(train) [185][65/79] lr: 6.0253e-03 eta: 5:11:20 time: 0.2330 data_time: 0.0007 memory: 1833 loss: 1.2977 loss_prob: 0.7254 loss_thr: 0.4468 loss_db: 0.1255 2022/12/19 21:10:42 - mmengine - INFO - Epoch(train) [185][70/79] lr: 6.0253e-03 eta: 5:11:18 time: 0.2022 data_time: 0.0008 memory: 1833 loss: 1.2499 loss_prob: 0.6989 loss_thr: 0.4281 loss_db: 0.1228 2022/12/19 21:10:43 - mmengine - INFO - Epoch(train) [185][75/79] lr: 6.0253e-03 eta: 5:11:16 time: 0.1998 data_time: 0.0008 memory: 1833 loss: 1.3012 loss_prob: 0.7188 loss_thr: 0.4579 loss_db: 0.1244 2022/12/19 21:10:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:10:47 - mmengine - INFO - Epoch(train) [186][5/79] lr: 6.0200e-03 eta: 5:11:20 time: 0.3511 data_time: 0.0729 memory: 1833 loss: 1.3115 loss_prob: 0.7423 loss_thr: 0.4429 loss_db: 0.1263 2022/12/19 21:10:48 - mmengine - INFO - Epoch(train) [186][10/79] lr: 6.0200e-03 eta: 5:11:19 time: 0.3721 data_time: 0.0729 memory: 1833 loss: 1.3559 loss_prob: 0.7744 loss_thr: 0.4505 loss_db: 0.1310 2022/12/19 21:10:49 - mmengine - INFO - Epoch(train) [186][15/79] lr: 6.0200e-03 eta: 5:11:18 time: 0.2379 data_time: 0.0008 memory: 1833 loss: 1.5092 loss_prob: 0.8748 loss_thr: 0.4850 loss_db: 0.1494 2022/12/19 21:10:50 - mmengine - INFO - Epoch(train) [186][20/79] lr: 6.0200e-03 eta: 5:11:17 time: 0.2341 data_time: 0.0008 memory: 1833 loss: 1.5877 loss_prob: 0.9199 loss_thr: 0.5108 loss_db: 0.1570 2022/12/19 21:10:51 - mmengine - INFO - Epoch(train) [186][25/79] lr: 6.0200e-03 eta: 5:11:16 time: 0.2310 data_time: 0.0008 memory: 1833 loss: 1.5979 loss_prob: 0.9263 loss_thr: 0.5146 loss_db: 0.1569 2022/12/19 21:10:52 - mmengine - INFO - Epoch(train) [186][30/79] lr: 6.0200e-03 eta: 5:11:14 time: 0.2209 data_time: 0.0008 memory: 1833 loss: 1.6253 loss_prob: 0.9373 loss_thr: 0.5277 loss_db: 0.1603 2022/12/19 21:10:54 - mmengine - INFO - Epoch(train) [186][35/79] lr: 6.0200e-03 eta: 5:11:13 time: 0.2291 data_time: 0.0008 memory: 1833 loss: 1.7682 loss_prob: 1.0265 loss_thr: 0.5720 loss_db: 0.1697 2022/12/19 21:10:55 - mmengine - INFO - Epoch(train) [186][40/79] lr: 6.0200e-03 eta: 5:11:12 time: 0.2501 data_time: 0.0010 memory: 1833 loss: 1.7395 loss_prob: 1.0177 loss_thr: 0.5544 loss_db: 0.1675 2022/12/19 21:10:56 - mmengine - INFO - Epoch(train) [186][45/79] lr: 6.0200e-03 eta: 5:11:11 time: 0.2389 data_time: 0.0009 memory: 1833 loss: 1.5400 loss_prob: 0.8851 loss_thr: 0.5058 loss_db: 0.1491 2022/12/19 21:10:57 - mmengine - INFO - Epoch(train) [186][50/79] lr: 6.0200e-03 eta: 5:11:10 time: 0.2314 data_time: 0.0007 memory: 1833 loss: 1.5514 loss_prob: 0.8784 loss_thr: 0.5245 loss_db: 0.1485 2022/12/19 21:10:58 - mmengine - INFO - Epoch(train) [186][55/79] lr: 6.0200e-03 eta: 5:11:08 time: 0.2255 data_time: 0.0009 memory: 1833 loss: 1.5459 loss_prob: 0.8706 loss_thr: 0.5250 loss_db: 0.1503 2022/12/19 21:10:59 - mmengine - INFO - Epoch(train) [186][60/79] lr: 6.0200e-03 eta: 5:11:07 time: 0.2132 data_time: 0.0009 memory: 1833 loss: 1.6209 loss_prob: 0.9308 loss_thr: 0.5338 loss_db: 0.1563 2022/12/19 21:11:00 - mmengine - INFO - Epoch(train) [186][65/79] lr: 6.0200e-03 eta: 5:11:05 time: 0.2200 data_time: 0.0007 memory: 1833 loss: 1.7021 loss_prob: 0.9835 loss_thr: 0.5528 loss_db: 0.1658 2022/12/19 21:11:01 - mmengine - INFO - Epoch(train) [186][70/79] lr: 6.0200e-03 eta: 5:11:04 time: 0.2185 data_time: 0.0007 memory: 1833 loss: 1.5160 loss_prob: 0.8586 loss_thr: 0.5134 loss_db: 0.1441 2022/12/19 21:11:02 - mmengine - INFO - Epoch(train) [186][75/79] lr: 6.0200e-03 eta: 5:11:01 time: 0.2025 data_time: 0.0007 memory: 1833 loss: 1.4843 loss_prob: 0.8274 loss_thr: 0.5161 loss_db: 0.1408 2022/12/19 21:11:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:11:06 - mmengine - INFO - Epoch(train) [187][5/79] lr: 6.0146e-03 eta: 5:11:07 time: 0.3624 data_time: 0.1164 memory: 1833 loss: 1.6261 loss_prob: 0.9288 loss_thr: 0.5369 loss_db: 0.1604 2022/12/19 21:11:07 - mmengine - INFO - Epoch(train) [187][10/79] lr: 6.0146e-03 eta: 5:11:05 time: 0.3854 data_time: 0.1164 memory: 1833 loss: 1.5238 loss_prob: 0.8826 loss_thr: 0.4903 loss_db: 0.1509 2022/12/19 21:11:08 - mmengine - INFO - Epoch(train) [187][15/79] lr: 6.0146e-03 eta: 5:11:03 time: 0.2068 data_time: 0.0007 memory: 1833 loss: 1.4947 loss_prob: 0.8527 loss_thr: 0.4954 loss_db: 0.1466 2022/12/19 21:11:09 - mmengine - INFO - Epoch(train) [187][20/79] lr: 6.0146e-03 eta: 5:11:01 time: 0.1987 data_time: 0.0007 memory: 1833 loss: 1.4464 loss_prob: 0.8147 loss_thr: 0.4894 loss_db: 0.1423 2022/12/19 21:11:10 - mmengine - INFO - Epoch(train) [187][25/79] lr: 6.0146e-03 eta: 5:11:01 time: 0.2375 data_time: 0.0009 memory: 1833 loss: 1.5224 loss_prob: 0.8709 loss_thr: 0.4989 loss_db: 0.1526 2022/12/19 21:11:11 - mmengine - INFO - Epoch(train) [187][30/79] lr: 6.0146e-03 eta: 5:10:59 time: 0.2468 data_time: 0.0009 memory: 1833 loss: 1.4391 loss_prob: 0.8188 loss_thr: 0.4785 loss_db: 0.1417 2022/12/19 21:11:13 - mmengine - INFO - Epoch(train) [187][35/79] lr: 6.0146e-03 eta: 5:10:58 time: 0.2226 data_time: 0.0008 memory: 1833 loss: 1.4317 loss_prob: 0.8141 loss_thr: 0.4797 loss_db: 0.1379 2022/12/19 21:11:14 - mmengine - INFO - Epoch(train) [187][40/79] lr: 6.0146e-03 eta: 5:10:56 time: 0.2208 data_time: 0.0008 memory: 1833 loss: 1.5407 loss_prob: 0.8741 loss_thr: 0.5156 loss_db: 0.1510 2022/12/19 21:11:15 - mmengine - INFO - Epoch(train) [187][45/79] lr: 6.0146e-03 eta: 5:10:55 time: 0.2299 data_time: 0.0008 memory: 1833 loss: 1.5020 loss_prob: 0.8448 loss_thr: 0.5081 loss_db: 0.1491 2022/12/19 21:11:16 - mmengine - INFO - Epoch(train) [187][50/79] lr: 6.0146e-03 eta: 5:10:54 time: 0.2239 data_time: 0.0008 memory: 1833 loss: 1.4841 loss_prob: 0.8451 loss_thr: 0.4909 loss_db: 0.1482 2022/12/19 21:11:17 - mmengine - INFO - Epoch(train) [187][55/79] lr: 6.0146e-03 eta: 5:10:52 time: 0.2101 data_time: 0.0007 memory: 1833 loss: 1.5752 loss_prob: 0.9085 loss_thr: 0.5093 loss_db: 0.1574 2022/12/19 21:11:18 - mmengine - INFO - Epoch(train) [187][60/79] lr: 6.0146e-03 eta: 5:10:50 time: 0.2130 data_time: 0.0007 memory: 1833 loss: 1.5065 loss_prob: 0.8485 loss_thr: 0.5100 loss_db: 0.1480 2022/12/19 21:11:19 - mmengine - INFO - Epoch(train) [187][65/79] lr: 6.0146e-03 eta: 5:10:49 time: 0.2187 data_time: 0.0007 memory: 1833 loss: 1.2987 loss_prob: 0.7088 loss_thr: 0.4664 loss_db: 0.1236 2022/12/19 21:11:20 - mmengine - INFO - Epoch(train) [187][70/79] lr: 6.0146e-03 eta: 5:10:47 time: 0.2247 data_time: 0.0007 memory: 1833 loss: 1.4317 loss_prob: 0.8124 loss_thr: 0.4801 loss_db: 0.1392 2022/12/19 21:11:21 - mmengine - INFO - Epoch(train) [187][75/79] lr: 6.0146e-03 eta: 5:10:46 time: 0.2270 data_time: 0.0006 memory: 1833 loss: 1.4974 loss_prob: 0.8596 loss_thr: 0.4886 loss_db: 0.1491 2022/12/19 21:11:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:11:24 - mmengine - INFO - Epoch(train) [188][5/79] lr: 6.0093e-03 eta: 5:10:47 time: 0.2909 data_time: 0.0216 memory: 1833 loss: 1.3969 loss_prob: 0.7926 loss_thr: 0.4668 loss_db: 0.1374 2022/12/19 21:11:25 - mmengine - INFO - Epoch(train) [188][10/79] lr: 6.0093e-03 eta: 5:10:45 time: 0.3088 data_time: 0.0216 memory: 1833 loss: 1.3174 loss_prob: 0.7406 loss_thr: 0.4499 loss_db: 0.1270 2022/12/19 21:11:27 - mmengine - INFO - Epoch(train) [188][15/79] lr: 6.0093e-03 eta: 5:10:46 time: 0.2604 data_time: 0.0008 memory: 1833 loss: 1.2783 loss_prob: 0.7134 loss_thr: 0.4420 loss_db: 0.1228 2022/12/19 21:11:28 - mmengine - INFO - Epoch(train) [188][20/79] lr: 6.0093e-03 eta: 5:10:44 time: 0.2556 data_time: 0.0008 memory: 1833 loss: 1.3034 loss_prob: 0.7162 loss_thr: 0.4635 loss_db: 0.1237 2022/12/19 21:11:29 - mmengine - INFO - Epoch(train) [188][25/79] lr: 6.0093e-03 eta: 5:10:43 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 1.3629 loss_prob: 0.7447 loss_thr: 0.4895 loss_db: 0.1287 2022/12/19 21:11:30 - mmengine - INFO - Epoch(train) [188][30/79] lr: 6.0093e-03 eta: 5:10:42 time: 0.2352 data_time: 0.0008 memory: 1833 loss: 1.3284 loss_prob: 0.7414 loss_thr: 0.4602 loss_db: 0.1268 2022/12/19 21:11:31 - mmengine - INFO - Epoch(train) [188][35/79] lr: 6.0093e-03 eta: 5:10:41 time: 0.2433 data_time: 0.0008 memory: 1833 loss: 1.2279 loss_prob: 0.6817 loss_thr: 0.4279 loss_db: 0.1184 2022/12/19 21:11:32 - mmengine - INFO - Epoch(train) [188][40/79] lr: 6.0093e-03 eta: 5:10:40 time: 0.2333 data_time: 0.0008 memory: 1833 loss: 1.2919 loss_prob: 0.7092 loss_thr: 0.4591 loss_db: 0.1236 2022/12/19 21:11:33 - mmengine - INFO - Epoch(train) [188][45/79] lr: 6.0093e-03 eta: 5:10:38 time: 0.2196 data_time: 0.0008 memory: 1833 loss: 1.3486 loss_prob: 0.7397 loss_thr: 0.4807 loss_db: 0.1283 2022/12/19 21:11:34 - mmengine - INFO - Epoch(train) [188][50/79] lr: 6.0093e-03 eta: 5:10:36 time: 0.1997 data_time: 0.0007 memory: 1833 loss: 1.3866 loss_prob: 0.7536 loss_thr: 0.5048 loss_db: 0.1282 2022/12/19 21:11:35 - mmengine - INFO - Epoch(train) [188][55/79] lr: 6.0093e-03 eta: 5:10:34 time: 0.1944 data_time: 0.0007 memory: 1833 loss: 1.4168 loss_prob: 0.7833 loss_thr: 0.5022 loss_db: 0.1314 2022/12/19 21:11:36 - mmengine - INFO - Epoch(train) [188][60/79] lr: 6.0093e-03 eta: 5:10:32 time: 0.2058 data_time: 0.0006 memory: 1833 loss: 1.3366 loss_prob: 0.7438 loss_thr: 0.4645 loss_db: 0.1283 2022/12/19 21:11:37 - mmengine - INFO - Epoch(train) [188][65/79] lr: 6.0093e-03 eta: 5:10:29 time: 0.1923 data_time: 0.0006 memory: 1833 loss: 1.2835 loss_prob: 0.6957 loss_thr: 0.4678 loss_db: 0.1201 2022/12/19 21:11:38 - mmengine - INFO - Epoch(train) [188][70/79] lr: 6.0093e-03 eta: 5:10:27 time: 0.1904 data_time: 0.0006 memory: 1833 loss: 1.3301 loss_prob: 0.7328 loss_thr: 0.4713 loss_db: 0.1261 2022/12/19 21:11:39 - mmengine - INFO - Epoch(train) [188][75/79] lr: 6.0093e-03 eta: 5:10:25 time: 0.2026 data_time: 0.0006 memory: 1833 loss: 1.3728 loss_prob: 0.7638 loss_thr: 0.4757 loss_db: 0.1334 2022/12/19 21:11:40 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:11:43 - mmengine - INFO - Epoch(train) [189][5/79] lr: 6.0040e-03 eta: 5:10:30 time: 0.3526 data_time: 0.0387 memory: 1833 loss: 1.4260 loss_prob: 0.8031 loss_thr: 0.4858 loss_db: 0.1371 2022/12/19 21:11:44 - mmengine - INFO - Epoch(train) [189][10/79] lr: 6.0040e-03 eta: 5:10:27 time: 0.3558 data_time: 0.0387 memory: 1833 loss: 1.5717 loss_prob: 0.9018 loss_thr: 0.5149 loss_db: 0.1550 2022/12/19 21:11:45 - mmengine - INFO - Epoch(train) [189][15/79] lr: 6.0040e-03 eta: 5:10:27 time: 0.2163 data_time: 0.0008 memory: 1833 loss: 1.5100 loss_prob: 0.8671 loss_thr: 0.4944 loss_db: 0.1485 2022/12/19 21:11:46 - mmengine - INFO - Epoch(train) [189][20/79] lr: 6.0040e-03 eta: 5:10:26 time: 0.2400 data_time: 0.0008 memory: 1833 loss: 1.2966 loss_prob: 0.7255 loss_thr: 0.4477 loss_db: 0.1234 2022/12/19 21:11:47 - mmengine - INFO - Epoch(train) [189][25/79] lr: 6.0040e-03 eta: 5:10:24 time: 0.2221 data_time: 0.0008 memory: 1833 loss: 1.2444 loss_prob: 0.6811 loss_thr: 0.4442 loss_db: 0.1190 2022/12/19 21:11:48 - mmengine - INFO - Epoch(train) [189][30/79] lr: 6.0040e-03 eta: 5:10:22 time: 0.2073 data_time: 0.0008 memory: 1833 loss: 1.4549 loss_prob: 0.8139 loss_thr: 0.5010 loss_db: 0.1400 2022/12/19 21:11:49 - mmengine - INFO - Epoch(train) [189][35/79] lr: 6.0040e-03 eta: 5:10:20 time: 0.2013 data_time: 0.0008 memory: 1833 loss: 1.4346 loss_prob: 0.7992 loss_thr: 0.4974 loss_db: 0.1380 2022/12/19 21:11:50 - mmengine - INFO - Epoch(train) [189][40/79] lr: 6.0040e-03 eta: 5:10:18 time: 0.2026 data_time: 0.0008 memory: 1833 loss: 1.3448 loss_prob: 0.7465 loss_thr: 0.4672 loss_db: 0.1312 2022/12/19 21:11:51 - mmengine - INFO - Epoch(train) [189][45/79] lr: 6.0040e-03 eta: 5:10:16 time: 0.2013 data_time: 0.0007 memory: 1833 loss: 1.3312 loss_prob: 0.7389 loss_thr: 0.4659 loss_db: 0.1264 2022/12/19 21:11:52 - mmengine - INFO - Epoch(train) [189][50/79] lr: 6.0040e-03 eta: 5:10:14 time: 0.2080 data_time: 0.0007 memory: 1833 loss: 1.3415 loss_prob: 0.7417 loss_thr: 0.4741 loss_db: 0.1257 2022/12/19 21:11:53 - mmengine - INFO - Epoch(train) [189][55/79] lr: 6.0040e-03 eta: 5:10:13 time: 0.2226 data_time: 0.0007 memory: 1833 loss: 1.4615 loss_prob: 0.8184 loss_thr: 0.5032 loss_db: 0.1400 2022/12/19 21:11:54 - mmengine - INFO - Epoch(train) [189][60/79] lr: 6.0040e-03 eta: 5:10:11 time: 0.2229 data_time: 0.0007 memory: 1833 loss: 1.4447 loss_prob: 0.8206 loss_thr: 0.4847 loss_db: 0.1394 2022/12/19 21:11:55 - mmengine - INFO - Epoch(train) [189][65/79] lr: 6.0040e-03 eta: 5:10:09 time: 0.2116 data_time: 0.0007 memory: 1833 loss: 1.4389 loss_prob: 0.8268 loss_thr: 0.4742 loss_db: 0.1379 2022/12/19 21:11:57 - mmengine - INFO - Epoch(train) [189][70/79] lr: 6.0040e-03 eta: 5:10:08 time: 0.2093 data_time: 0.0006 memory: 1833 loss: 1.4150 loss_prob: 0.7955 loss_thr: 0.4853 loss_db: 0.1342 2022/12/19 21:11:58 - mmengine - INFO - Epoch(train) [189][75/79] lr: 6.0040e-03 eta: 5:10:07 time: 0.2360 data_time: 0.0008 memory: 1833 loss: 1.4405 loss_prob: 0.7997 loss_thr: 0.5021 loss_db: 0.1387 2022/12/19 21:11:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:12:01 - mmengine - INFO - Epoch(train) [190][5/79] lr: 5.9986e-03 eta: 5:10:10 time: 0.3238 data_time: 0.0355 memory: 1833 loss: 1.6311 loss_prob: 0.9692 loss_thr: 0.5083 loss_db: 0.1537 2022/12/19 21:12:02 - mmengine - INFO - Epoch(train) [190][10/79] lr: 5.9986e-03 eta: 5:10:09 time: 0.3510 data_time: 0.0355 memory: 1833 loss: 1.7209 loss_prob: 1.0349 loss_thr: 0.5188 loss_db: 0.1672 2022/12/19 21:12:03 - mmengine - INFO - Epoch(train) [190][15/79] lr: 5.9986e-03 eta: 5:10:08 time: 0.2318 data_time: 0.0008 memory: 1833 loss: 1.3794 loss_prob: 0.7676 loss_thr: 0.4770 loss_db: 0.1348 2022/12/19 21:12:04 - mmengine - INFO - Epoch(train) [190][20/79] lr: 5.9986e-03 eta: 5:10:06 time: 0.2089 data_time: 0.0008 memory: 1833 loss: 1.3981 loss_prob: 0.7785 loss_thr: 0.4856 loss_db: 0.1340 2022/12/19 21:12:05 - mmengine - INFO - Epoch(train) [190][25/79] lr: 5.9986e-03 eta: 5:10:04 time: 0.2147 data_time: 0.0008 memory: 1833 loss: 1.4897 loss_prob: 0.8486 loss_thr: 0.4974 loss_db: 0.1437 2022/12/19 21:12:07 - mmengine - INFO - Epoch(train) [190][30/79] lr: 5.9986e-03 eta: 5:10:03 time: 0.2322 data_time: 0.0008 memory: 1833 loss: 1.5185 loss_prob: 0.8616 loss_thr: 0.5094 loss_db: 0.1475 2022/12/19 21:12:08 - mmengine - INFO - Epoch(train) [190][35/79] lr: 5.9986e-03 eta: 5:10:02 time: 0.2432 data_time: 0.0007 memory: 1833 loss: 1.5093 loss_prob: 0.8527 loss_thr: 0.5085 loss_db: 0.1481 2022/12/19 21:12:09 - mmengine - INFO - Epoch(train) [190][40/79] lr: 5.9986e-03 eta: 5:10:01 time: 0.2317 data_time: 0.0008 memory: 1833 loss: 1.4446 loss_prob: 0.8103 loss_thr: 0.4937 loss_db: 0.1406 2022/12/19 21:12:10 - mmengine - INFO - Epoch(train) [190][45/79] lr: 5.9986e-03 eta: 5:09:59 time: 0.2123 data_time: 0.0008 memory: 1833 loss: 1.4203 loss_prob: 0.8039 loss_thr: 0.4805 loss_db: 0.1359 2022/12/19 21:12:11 - mmengine - INFO - Epoch(train) [190][50/79] lr: 5.9986e-03 eta: 5:09:58 time: 0.2135 data_time: 0.0007 memory: 1833 loss: 1.3886 loss_prob: 0.7915 loss_thr: 0.4628 loss_db: 0.1343 2022/12/19 21:12:12 - mmengine - INFO - Epoch(train) [190][55/79] lr: 5.9986e-03 eta: 5:09:55 time: 0.2096 data_time: 0.0007 memory: 1833 loss: 1.4373 loss_prob: 0.8145 loss_thr: 0.4840 loss_db: 0.1388 2022/12/19 21:12:13 - mmengine - INFO - Epoch(train) [190][60/79] lr: 5.9986e-03 eta: 5:09:53 time: 0.1980 data_time: 0.0007 memory: 1833 loss: 1.4926 loss_prob: 0.8426 loss_thr: 0.5043 loss_db: 0.1457 2022/12/19 21:12:14 - mmengine - INFO - Epoch(train) [190][65/79] lr: 5.9986e-03 eta: 5:09:52 time: 0.2209 data_time: 0.0006 memory: 1833 loss: 1.4486 loss_prob: 0.8103 loss_thr: 0.4974 loss_db: 0.1409 2022/12/19 21:12:15 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:12:15 - mmengine - INFO - Epoch(train) [190][70/79] lr: 5.9986e-03 eta: 5:09:50 time: 0.2178 data_time: 0.0006 memory: 1833 loss: 1.4766 loss_prob: 0.8313 loss_thr: 0.5013 loss_db: 0.1439 2022/12/19 21:12:16 - mmengine - INFO - Epoch(train) [190][75/79] lr: 5.9986e-03 eta: 5:09:49 time: 0.2033 data_time: 0.0006 memory: 1833 loss: 1.6344 loss_prob: 0.9408 loss_thr: 0.5317 loss_db: 0.1618 2022/12/19 21:12:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:12:19 - mmengine - INFO - Epoch(train) [191][5/79] lr: 5.9933e-03 eta: 5:09:51 time: 0.3156 data_time: 0.0339 memory: 1833 loss: 1.4248 loss_prob: 0.8086 loss_thr: 0.4797 loss_db: 0.1366 2022/12/19 21:12:20 - mmengine - INFO - Epoch(train) [191][10/79] lr: 5.9933e-03 eta: 5:09:50 time: 0.3369 data_time: 0.0340 memory: 1833 loss: 1.3718 loss_prob: 0.7624 loss_thr: 0.4785 loss_db: 0.1309 2022/12/19 21:12:22 - mmengine - INFO - Epoch(train) [191][15/79] lr: 5.9933e-03 eta: 5:09:49 time: 0.2341 data_time: 0.0008 memory: 1833 loss: 1.3685 loss_prob: 0.7550 loss_thr: 0.4789 loss_db: 0.1346 2022/12/19 21:12:22 - mmengine - INFO - Epoch(train) [191][20/79] lr: 5.9933e-03 eta: 5:09:46 time: 0.2135 data_time: 0.0008 memory: 1833 loss: 1.4043 loss_prob: 0.7870 loss_thr: 0.4790 loss_db: 0.1383 2022/12/19 21:12:24 - mmengine - INFO - Epoch(train) [191][25/79] lr: 5.9933e-03 eta: 5:09:45 time: 0.2089 data_time: 0.0008 memory: 1833 loss: 1.4896 loss_prob: 0.8447 loss_thr: 0.4994 loss_db: 0.1455 2022/12/19 21:12:25 - mmengine - INFO - Epoch(train) [191][30/79] lr: 5.9933e-03 eta: 5:09:43 time: 0.2222 data_time: 0.0008 memory: 1833 loss: 1.5667 loss_prob: 0.8826 loss_thr: 0.5335 loss_db: 0.1507 2022/12/19 21:12:26 - mmengine - INFO - Epoch(train) [191][35/79] lr: 5.9933e-03 eta: 5:09:41 time: 0.2038 data_time: 0.0007 memory: 1833 loss: 1.4869 loss_prob: 0.8306 loss_thr: 0.5147 loss_db: 0.1417 2022/12/19 21:12:27 - mmengine - INFO - Epoch(train) [191][40/79] lr: 5.9933e-03 eta: 5:09:40 time: 0.2139 data_time: 0.0008 memory: 1833 loss: 1.3554 loss_prob: 0.7560 loss_thr: 0.4653 loss_db: 0.1342 2022/12/19 21:12:28 - mmengine - INFO - Epoch(train) [191][45/79] lr: 5.9933e-03 eta: 5:09:39 time: 0.2282 data_time: 0.0009 memory: 1833 loss: 1.1942 loss_prob: 0.6616 loss_thr: 0.4158 loss_db: 0.1168 2022/12/19 21:12:29 - mmengine - INFO - Epoch(train) [191][50/79] lr: 5.9933e-03 eta: 5:09:37 time: 0.2146 data_time: 0.0008 memory: 1833 loss: 1.3307 loss_prob: 0.7861 loss_thr: 0.4219 loss_db: 0.1227 2022/12/19 21:12:30 - mmengine - INFO - Epoch(train) [191][55/79] lr: 5.9933e-03 eta: 5:09:35 time: 0.1996 data_time: 0.0007 memory: 1833 loss: 1.5025 loss_prob: 0.9033 loss_thr: 0.4596 loss_db: 0.1397 2022/12/19 21:12:31 - mmengine - INFO - Epoch(train) [191][60/79] lr: 5.9933e-03 eta: 5:09:33 time: 0.2005 data_time: 0.0007 memory: 1833 loss: 1.4872 loss_prob: 0.8595 loss_thr: 0.4858 loss_db: 0.1419 2022/12/19 21:12:32 - mmengine - INFO - Epoch(train) [191][65/79] lr: 5.9933e-03 eta: 5:09:32 time: 0.2266 data_time: 0.0007 memory: 1833 loss: 1.4660 loss_prob: 0.8285 loss_thr: 0.4946 loss_db: 0.1429 2022/12/19 21:12:33 - mmengine - INFO - Epoch(train) [191][70/79] lr: 5.9933e-03 eta: 5:09:31 time: 0.2368 data_time: 0.0007 memory: 1833 loss: 1.4324 loss_prob: 0.8119 loss_thr: 0.4776 loss_db: 0.1428 2022/12/19 21:12:34 - mmengine - INFO - Epoch(train) [191][75/79] lr: 5.9933e-03 eta: 5:09:28 time: 0.2095 data_time: 0.0007 memory: 1833 loss: 1.5210 loss_prob: 0.8622 loss_thr: 0.5109 loss_db: 0.1479 2022/12/19 21:12:35 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:12:37 - mmengine - INFO - Epoch(train) [192][5/79] lr: 5.9879e-03 eta: 5:09:30 time: 0.2999 data_time: 0.0985 memory: 1833 loss: 1.4572 loss_prob: 0.8427 loss_thr: 0.4669 loss_db: 0.1476 2022/12/19 21:12:38 - mmengine - INFO - Epoch(train) [192][10/79] lr: 5.9879e-03 eta: 5:09:29 time: 0.3100 data_time: 0.0985 memory: 1833 loss: 1.4383 loss_prob: 0.8228 loss_thr: 0.4731 loss_db: 0.1424 2022/12/19 21:12:39 - mmengine - INFO - Epoch(train) [192][15/79] lr: 5.9879e-03 eta: 5:09:27 time: 0.2087 data_time: 0.0008 memory: 1833 loss: 1.4101 loss_prob: 0.7904 loss_thr: 0.4824 loss_db: 0.1373 2022/12/19 21:12:40 - mmengine - INFO - Epoch(train) [192][20/79] lr: 5.9879e-03 eta: 5:09:25 time: 0.2034 data_time: 0.0008 memory: 1833 loss: 1.4921 loss_prob: 0.8492 loss_thr: 0.5005 loss_db: 0.1424 2022/12/19 21:12:41 - mmengine - INFO - Epoch(train) [192][25/79] lr: 5.9879e-03 eta: 5:09:23 time: 0.2001 data_time: 0.0008 memory: 1833 loss: 1.6274 loss_prob: 0.9362 loss_thr: 0.5339 loss_db: 0.1573 2022/12/19 21:12:42 - mmengine - INFO - Epoch(train) [192][30/79] lr: 5.9879e-03 eta: 5:09:21 time: 0.1997 data_time: 0.0009 memory: 1833 loss: 1.6053 loss_prob: 0.9064 loss_thr: 0.5400 loss_db: 0.1589 2022/12/19 21:12:44 - mmengine - INFO - Epoch(train) [192][35/79] lr: 5.9879e-03 eta: 5:09:21 time: 0.2430 data_time: 0.0010 memory: 1833 loss: 1.4948 loss_prob: 0.8314 loss_thr: 0.5187 loss_db: 0.1446 2022/12/19 21:12:45 - mmengine - INFO - Epoch(train) [192][40/79] lr: 5.9879e-03 eta: 5:09:19 time: 0.2406 data_time: 0.0009 memory: 1833 loss: 1.3852 loss_prob: 0.7814 loss_thr: 0.4688 loss_db: 0.1350 2022/12/19 21:12:46 - mmengine - INFO - Epoch(train) [192][45/79] lr: 5.9879e-03 eta: 5:09:17 time: 0.2061 data_time: 0.0008 memory: 1833 loss: 1.4216 loss_prob: 0.8240 loss_thr: 0.4588 loss_db: 0.1388 2022/12/19 21:12:47 - mmengine - INFO - Epoch(train) [192][50/79] lr: 5.9879e-03 eta: 5:09:15 time: 0.2072 data_time: 0.0008 memory: 1833 loss: 1.4764 loss_prob: 0.8546 loss_thr: 0.4797 loss_db: 0.1420 2022/12/19 21:12:48 - mmengine - INFO - Epoch(train) [192][55/79] lr: 5.9879e-03 eta: 5:09:14 time: 0.2209 data_time: 0.0007 memory: 1833 loss: 1.4448 loss_prob: 0.8159 loss_thr: 0.4876 loss_db: 0.1413 2022/12/19 21:12:49 - mmengine - INFO - Epoch(train) [192][60/79] lr: 5.9879e-03 eta: 5:09:12 time: 0.2251 data_time: 0.0007 memory: 1833 loss: 1.4617 loss_prob: 0.8249 loss_thr: 0.4935 loss_db: 0.1432 2022/12/19 21:12:50 - mmengine - INFO - Epoch(train) [192][65/79] lr: 5.9879e-03 eta: 5:09:11 time: 0.2136 data_time: 0.0007 memory: 1833 loss: 1.2771 loss_prob: 0.7171 loss_thr: 0.4361 loss_db: 0.1239 2022/12/19 21:12:51 - mmengine - INFO - Epoch(train) [192][70/79] lr: 5.9879e-03 eta: 5:09:09 time: 0.2084 data_time: 0.0007 memory: 1833 loss: 1.2326 loss_prob: 0.6949 loss_thr: 0.4187 loss_db: 0.1190 2022/12/19 21:12:52 - mmengine - INFO - Epoch(train) [192][75/79] lr: 5.9879e-03 eta: 5:09:06 time: 0.1937 data_time: 0.0007 memory: 1833 loss: 1.4643 loss_prob: 0.8287 loss_thr: 0.4929 loss_db: 0.1427 2022/12/19 21:12:53 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:12:55 - mmengine - INFO - Epoch(train) [193][5/79] lr: 5.9826e-03 eta: 5:09:10 time: 0.3397 data_time: 0.0201 memory: 1833 loss: 1.4362 loss_prob: 0.8110 loss_thr: 0.4835 loss_db: 0.1417 2022/12/19 21:12:56 - mmengine - INFO - Epoch(train) [193][10/79] lr: 5.9826e-03 eta: 5:09:08 time: 0.3500 data_time: 0.0201 memory: 1833 loss: 1.4246 loss_prob: 0.8130 loss_thr: 0.4752 loss_db: 0.1364 2022/12/19 21:12:58 - mmengine - INFO - Epoch(train) [193][15/79] lr: 5.9826e-03 eta: 5:09:07 time: 0.2279 data_time: 0.0007 memory: 1833 loss: 1.5163 loss_prob: 0.8697 loss_thr: 0.5000 loss_db: 0.1465 2022/12/19 21:12:59 - mmengine - INFO - Epoch(train) [193][20/79] lr: 5.9826e-03 eta: 5:09:08 time: 0.2603 data_time: 0.0009 memory: 1833 loss: 1.3636 loss_prob: 0.7580 loss_thr: 0.4736 loss_db: 0.1321 2022/12/19 21:13:00 - mmengine - INFO - Epoch(train) [193][25/79] lr: 5.9826e-03 eta: 5:09:06 time: 0.2444 data_time: 0.0009 memory: 1833 loss: 1.2671 loss_prob: 0.6949 loss_thr: 0.4525 loss_db: 0.1197 2022/12/19 21:13:01 - mmengine - INFO - Epoch(train) [193][30/79] lr: 5.9826e-03 eta: 5:09:04 time: 0.2141 data_time: 0.0008 memory: 1833 loss: 1.3395 loss_prob: 0.7542 loss_thr: 0.4583 loss_db: 0.1270 2022/12/19 21:13:02 - mmengine - INFO - Epoch(train) [193][35/79] lr: 5.9826e-03 eta: 5:09:02 time: 0.2124 data_time: 0.0007 memory: 1833 loss: 1.4632 loss_prob: 0.8162 loss_thr: 0.5087 loss_db: 0.1383 2022/12/19 21:13:03 - mmengine - INFO - Epoch(train) [193][40/79] lr: 5.9826e-03 eta: 5:09:02 time: 0.2328 data_time: 0.0008 memory: 1833 loss: 1.5385 loss_prob: 0.8602 loss_thr: 0.5306 loss_db: 0.1476 2022/12/19 21:13:05 - mmengine - INFO - Epoch(train) [193][45/79] lr: 5.9826e-03 eta: 5:09:01 time: 0.2440 data_time: 0.0008 memory: 1833 loss: 1.5548 loss_prob: 0.8866 loss_thr: 0.5152 loss_db: 0.1530 2022/12/19 21:13:06 - mmengine - INFO - Epoch(train) [193][50/79] lr: 5.9826e-03 eta: 5:08:59 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 1.4475 loss_prob: 0.8140 loss_thr: 0.4926 loss_db: 0.1409 2022/12/19 21:13:07 - mmengine - INFO - Epoch(train) [193][55/79] lr: 5.9826e-03 eta: 5:08:57 time: 0.2152 data_time: 0.0007 memory: 1833 loss: 1.3682 loss_prob: 0.7709 loss_thr: 0.4655 loss_db: 0.1319 2022/12/19 21:13:08 - mmengine - INFO - Epoch(train) [193][60/79] lr: 5.9826e-03 eta: 5:08:56 time: 0.2189 data_time: 0.0007 memory: 1833 loss: 1.3966 loss_prob: 0.7793 loss_thr: 0.4833 loss_db: 0.1340 2022/12/19 21:13:09 - mmengine - INFO - Epoch(train) [193][65/79] lr: 5.9826e-03 eta: 5:08:53 time: 0.1966 data_time: 0.0007 memory: 1833 loss: 1.3966 loss_prob: 0.7679 loss_thr: 0.4975 loss_db: 0.1312 2022/12/19 21:13:10 - mmengine - INFO - Epoch(train) [193][70/79] lr: 5.9826e-03 eta: 5:08:51 time: 0.1898 data_time: 0.0007 memory: 1833 loss: 1.3383 loss_prob: 0.7387 loss_thr: 0.4749 loss_db: 0.1247 2022/12/19 21:13:11 - mmengine - INFO - Epoch(train) [193][75/79] lr: 5.9826e-03 eta: 5:08:50 time: 0.2084 data_time: 0.0007 memory: 1833 loss: 1.3154 loss_prob: 0.7392 loss_thr: 0.4504 loss_db: 0.1258 2022/12/19 21:13:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:13:14 - mmengine - INFO - Epoch(train) [194][5/79] lr: 5.9772e-03 eta: 5:08:52 time: 0.3471 data_time: 0.0269 memory: 1833 loss: 1.3943 loss_prob: 0.7869 loss_thr: 0.4691 loss_db: 0.1383 2022/12/19 21:13:15 - mmengine - INFO - Epoch(train) [194][10/79] lr: 5.9772e-03 eta: 5:08:53 time: 0.3818 data_time: 0.0276 memory: 1833 loss: 1.3758 loss_prob: 0.7741 loss_thr: 0.4652 loss_db: 0.1365 2022/12/19 21:13:17 - mmengine - INFO - Epoch(train) [194][15/79] lr: 5.9772e-03 eta: 5:08:52 time: 0.2752 data_time: 0.0015 memory: 1833 loss: 1.3718 loss_prob: 0.7668 loss_thr: 0.4708 loss_db: 0.1343 2022/12/19 21:13:18 - mmengine - INFO - Epoch(train) [194][20/79] lr: 5.9772e-03 eta: 5:08:50 time: 0.2240 data_time: 0.0009 memory: 1833 loss: 1.4717 loss_prob: 0.8302 loss_thr: 0.4979 loss_db: 0.1436 2022/12/19 21:13:19 - mmengine - INFO - Epoch(train) [194][25/79] lr: 5.9772e-03 eta: 5:08:50 time: 0.2270 data_time: 0.0008 memory: 1833 loss: 1.3769 loss_prob: 0.7686 loss_thr: 0.4764 loss_db: 0.1319 2022/12/19 21:13:20 - mmengine - INFO - Epoch(train) [194][30/79] lr: 5.9772e-03 eta: 5:08:48 time: 0.2283 data_time: 0.0008 memory: 1833 loss: 1.4778 loss_prob: 0.8466 loss_thr: 0.4889 loss_db: 0.1423 2022/12/19 21:13:21 - mmengine - INFO - Epoch(train) [194][35/79] lr: 5.9772e-03 eta: 5:08:47 time: 0.2172 data_time: 0.0008 memory: 1833 loss: 1.4803 loss_prob: 0.8583 loss_thr: 0.4776 loss_db: 0.1445 2022/12/19 21:13:22 - mmengine - INFO - Epoch(train) [194][40/79] lr: 5.9772e-03 eta: 5:08:46 time: 0.2386 data_time: 0.0009 memory: 1833 loss: 1.4321 loss_prob: 0.8132 loss_thr: 0.4752 loss_db: 0.1436 2022/12/19 21:13:23 - mmengine - INFO - Epoch(train) [194][45/79] lr: 5.9772e-03 eta: 5:08:44 time: 0.2301 data_time: 0.0008 memory: 1833 loss: 1.4541 loss_prob: 0.8137 loss_thr: 0.4975 loss_db: 0.1429 2022/12/19 21:13:24 - mmengine - INFO - Epoch(train) [194][50/79] lr: 5.9772e-03 eta: 5:08:42 time: 0.2068 data_time: 0.0007 memory: 1833 loss: 1.3985 loss_prob: 0.7823 loss_thr: 0.4808 loss_db: 0.1354 2022/12/19 21:13:25 - mmengine - INFO - Epoch(train) [194][55/79] lr: 5.9772e-03 eta: 5:08:41 time: 0.2189 data_time: 0.0007 memory: 1833 loss: 1.4176 loss_prob: 0.8057 loss_thr: 0.4731 loss_db: 0.1388 2022/12/19 21:13:26 - mmengine - INFO - Epoch(train) [194][60/79] lr: 5.9772e-03 eta: 5:08:38 time: 0.2005 data_time: 0.0006 memory: 1833 loss: 1.4396 loss_prob: 0.8174 loss_thr: 0.4827 loss_db: 0.1395 2022/12/19 21:13:27 - mmengine - INFO - Epoch(train) [194][65/79] lr: 5.9772e-03 eta: 5:08:37 time: 0.2011 data_time: 0.0007 memory: 1833 loss: 1.4341 loss_prob: 0.7976 loss_thr: 0.4970 loss_db: 0.1395 2022/12/19 21:13:29 - mmengine - INFO - Epoch(train) [194][70/79] lr: 5.9772e-03 eta: 5:08:36 time: 0.2399 data_time: 0.0007 memory: 1833 loss: 1.3276 loss_prob: 0.7260 loss_thr: 0.4755 loss_db: 0.1262 2022/12/19 21:13:30 - mmengine - INFO - Epoch(train) [194][75/79] lr: 5.9772e-03 eta: 5:08:34 time: 0.2166 data_time: 0.0008 memory: 1833 loss: 1.3630 loss_prob: 0.7551 loss_thr: 0.4805 loss_db: 0.1274 2022/12/19 21:13:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:13:33 - mmengine - INFO - Epoch(train) [195][5/79] lr: 5.9719e-03 eta: 5:08:36 time: 0.3097 data_time: 0.0316 memory: 1833 loss: 1.2766 loss_prob: 0.7047 loss_thr: 0.4491 loss_db: 0.1227 2022/12/19 21:13:34 - mmengine - INFO - Epoch(train) [195][10/79] lr: 5.9719e-03 eta: 5:08:35 time: 0.3052 data_time: 0.0316 memory: 1833 loss: 1.3413 loss_prob: 0.7493 loss_thr: 0.4651 loss_db: 0.1269 2022/12/19 21:13:35 - mmengine - INFO - Epoch(train) [195][15/79] lr: 5.9719e-03 eta: 5:08:34 time: 0.2506 data_time: 0.0008 memory: 1833 loss: 1.3761 loss_prob: 0.7765 loss_thr: 0.4671 loss_db: 0.1325 2022/12/19 21:13:36 - mmengine - INFO - Epoch(train) [195][20/79] lr: 5.9719e-03 eta: 5:08:32 time: 0.2291 data_time: 0.0008 memory: 1833 loss: 1.3076 loss_prob: 0.7346 loss_thr: 0.4464 loss_db: 0.1267 2022/12/19 21:13:37 - mmengine - INFO - Epoch(train) [195][25/79] lr: 5.9719e-03 eta: 5:08:31 time: 0.2130 data_time: 0.0008 memory: 1833 loss: 1.2618 loss_prob: 0.6803 loss_thr: 0.4643 loss_db: 0.1172 2022/12/19 21:13:38 - mmengine - INFO - Epoch(train) [195][30/79] lr: 5.9719e-03 eta: 5:08:30 time: 0.2345 data_time: 0.0007 memory: 1833 loss: 1.1796 loss_prob: 0.6246 loss_thr: 0.4446 loss_db: 0.1104 2022/12/19 21:13:39 - mmengine - INFO - Epoch(train) [195][35/79] lr: 5.9719e-03 eta: 5:08:28 time: 0.2255 data_time: 0.0008 memory: 1833 loss: 1.3463 loss_prob: 0.7462 loss_thr: 0.4701 loss_db: 0.1300 2022/12/19 21:13:40 - mmengine - INFO - Epoch(train) [195][40/79] lr: 5.9719e-03 eta: 5:08:27 time: 0.2115 data_time: 0.0008 memory: 1833 loss: 1.4378 loss_prob: 0.8081 loss_thr: 0.4893 loss_db: 0.1404 2022/12/19 21:13:42 - mmengine - INFO - Epoch(train) [195][45/79] lr: 5.9719e-03 eta: 5:08:26 time: 0.2276 data_time: 0.0008 memory: 1833 loss: 1.2787 loss_prob: 0.7091 loss_thr: 0.4459 loss_db: 0.1236 2022/12/19 21:13:43 - mmengine - INFO - Epoch(train) [195][50/79] lr: 5.9719e-03 eta: 5:08:24 time: 0.2271 data_time: 0.0007 memory: 1833 loss: 1.3975 loss_prob: 0.7919 loss_thr: 0.4713 loss_db: 0.1343 2022/12/19 21:13:44 - mmengine - INFO - Epoch(train) [195][55/79] lr: 5.9719e-03 eta: 5:08:22 time: 0.2107 data_time: 0.0006 memory: 1833 loss: 1.5568 loss_prob: 0.8849 loss_thr: 0.5233 loss_db: 0.1486 2022/12/19 21:13:45 - mmengine - INFO - Epoch(train) [195][60/79] lr: 5.9719e-03 eta: 5:08:20 time: 0.2013 data_time: 0.0007 memory: 1833 loss: 1.4073 loss_prob: 0.7806 loss_thr: 0.4939 loss_db: 0.1328 2022/12/19 21:13:46 - mmengine - INFO - Epoch(train) [195][65/79] lr: 5.9719e-03 eta: 5:08:18 time: 0.1898 data_time: 0.0008 memory: 1833 loss: 1.3166 loss_prob: 0.7179 loss_thr: 0.4730 loss_db: 0.1257 2022/12/19 21:13:47 - mmengine - INFO - Epoch(train) [195][70/79] lr: 5.9719e-03 eta: 5:08:17 time: 0.2184 data_time: 0.0010 memory: 1833 loss: 1.4305 loss_prob: 0.7943 loss_thr: 0.4992 loss_db: 0.1370 2022/12/19 21:13:48 - mmengine - INFO - Epoch(train) [195][75/79] lr: 5.9719e-03 eta: 5:08:15 time: 0.2279 data_time: 0.0010 memory: 1833 loss: 1.3995 loss_prob: 0.7862 loss_thr: 0.4776 loss_db: 0.1357 2022/12/19 21:13:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:13:51 - mmengine - INFO - Epoch(train) [196][5/79] lr: 5.9665e-03 eta: 5:08:16 time: 0.2994 data_time: 0.0324 memory: 1833 loss: 1.5139 loss_prob: 0.8686 loss_thr: 0.4951 loss_db: 0.1502 2022/12/19 21:13:52 - mmengine - INFO - Epoch(train) [196][10/79] lr: 5.9665e-03 eta: 5:08:15 time: 0.3064 data_time: 0.0325 memory: 1833 loss: 1.3810 loss_prob: 0.7759 loss_thr: 0.4683 loss_db: 0.1368 2022/12/19 21:13:53 - mmengine - INFO - Epoch(train) [196][15/79] lr: 5.9665e-03 eta: 5:08:14 time: 0.2355 data_time: 0.0009 memory: 1833 loss: 1.3066 loss_prob: 0.7322 loss_thr: 0.4474 loss_db: 0.1270 2022/12/19 21:13:54 - mmengine - INFO - Epoch(train) [196][20/79] lr: 5.9665e-03 eta: 5:08:13 time: 0.2235 data_time: 0.0009 memory: 1833 loss: 1.2298 loss_prob: 0.6804 loss_thr: 0.4291 loss_db: 0.1203 2022/12/19 21:13:55 - mmengine - INFO - Epoch(train) [196][25/79] lr: 5.9665e-03 eta: 5:08:12 time: 0.2365 data_time: 0.0008 memory: 1833 loss: 1.2357 loss_prob: 0.6834 loss_thr: 0.4303 loss_db: 0.1219 2022/12/19 21:13:57 - mmengine - INFO - Epoch(train) [196][30/79] lr: 5.9665e-03 eta: 5:08:11 time: 0.2526 data_time: 0.0008 memory: 1833 loss: 1.1622 loss_prob: 0.6309 loss_thr: 0.4194 loss_db: 0.1119 2022/12/19 21:13:58 - mmengine - INFO - Epoch(train) [196][35/79] lr: 5.9665e-03 eta: 5:08:09 time: 0.2278 data_time: 0.0008 memory: 1833 loss: 1.2734 loss_prob: 0.7024 loss_thr: 0.4477 loss_db: 0.1233 2022/12/19 21:13:59 - mmengine - INFO - Epoch(train) [196][40/79] lr: 5.9665e-03 eta: 5:08:08 time: 0.2191 data_time: 0.0008 memory: 1833 loss: 1.5275 loss_prob: 0.8683 loss_thr: 0.5099 loss_db: 0.1492 2022/12/19 21:14:00 - mmengine - INFO - Epoch(train) [196][45/79] lr: 5.9665e-03 eta: 5:08:07 time: 0.2267 data_time: 0.0008 memory: 1833 loss: 1.7955 loss_prob: 1.0849 loss_thr: 0.5290 loss_db: 0.1816 2022/12/19 21:14:01 - mmengine - INFO - Epoch(train) [196][50/79] lr: 5.9665e-03 eta: 5:08:05 time: 0.2203 data_time: 0.0008 memory: 1833 loss: 1.6932 loss_prob: 1.0165 loss_thr: 0.5050 loss_db: 0.1717 2022/12/19 21:14:02 - mmengine - INFO - Epoch(train) [196][55/79] lr: 5.9665e-03 eta: 5:08:05 time: 0.2435 data_time: 0.0008 memory: 1833 loss: 1.3523 loss_prob: 0.7580 loss_thr: 0.4609 loss_db: 0.1334 2022/12/19 21:14:04 - mmengine - INFO - Epoch(train) [196][60/79] lr: 5.9665e-03 eta: 5:08:03 time: 0.2383 data_time: 0.0008 memory: 1833 loss: 1.3781 loss_prob: 0.7788 loss_thr: 0.4642 loss_db: 0.1350 2022/12/19 21:14:05 - mmengine - INFO - Epoch(train) [196][65/79] lr: 5.9665e-03 eta: 5:08:02 time: 0.2159 data_time: 0.0007 memory: 1833 loss: 1.4436 loss_prob: 0.8149 loss_thr: 0.4862 loss_db: 0.1425 2022/12/19 21:14:06 - mmengine - INFO - Epoch(train) [196][70/79] lr: 5.9665e-03 eta: 5:08:00 time: 0.2194 data_time: 0.0007 memory: 1833 loss: 1.3649 loss_prob: 0.7600 loss_thr: 0.4702 loss_db: 0.1346 2022/12/19 21:14:07 - mmengine - INFO - Epoch(train) [196][75/79] lr: 5.9665e-03 eta: 5:07:59 time: 0.2212 data_time: 0.0008 memory: 1833 loss: 1.3473 loss_prob: 0.7509 loss_thr: 0.4686 loss_db: 0.1278 2022/12/19 21:14:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:14:10 - mmengine - INFO - Epoch(train) [197][5/79] lr: 5.9612e-03 eta: 5:08:01 time: 0.3206 data_time: 0.0998 memory: 1833 loss: 1.4367 loss_prob: 0.8145 loss_thr: 0.4820 loss_db: 0.1402 2022/12/19 21:14:11 - mmengine - INFO - Epoch(train) [197][10/79] lr: 5.9612e-03 eta: 5:07:59 time: 0.3202 data_time: 0.0999 memory: 1833 loss: 1.4950 loss_prob: 0.8606 loss_thr: 0.4867 loss_db: 0.1477 2022/12/19 21:14:12 - mmengine - INFO - Epoch(train) [197][15/79] lr: 5.9612e-03 eta: 5:07:58 time: 0.2124 data_time: 0.0008 memory: 1833 loss: 1.3443 loss_prob: 0.7545 loss_thr: 0.4607 loss_db: 0.1292 2022/12/19 21:14:13 - mmengine - INFO - Epoch(train) [197][20/79] lr: 5.9612e-03 eta: 5:07:56 time: 0.2111 data_time: 0.0008 memory: 1833 loss: 1.2733 loss_prob: 0.7009 loss_thr: 0.4520 loss_db: 0.1204 2022/12/19 21:14:14 - mmengine - INFO - Epoch(train) [197][25/79] lr: 5.9612e-03 eta: 5:07:54 time: 0.2069 data_time: 0.0007 memory: 1833 loss: 1.2562 loss_prob: 0.6982 loss_thr: 0.4364 loss_db: 0.1216 2022/12/19 21:14:15 - mmengine - INFO - Epoch(train) [197][30/79] lr: 5.9612e-03 eta: 5:07:53 time: 0.2286 data_time: 0.0008 memory: 1833 loss: 1.3179 loss_prob: 0.7295 loss_thr: 0.4623 loss_db: 0.1260 2022/12/19 21:14:16 - mmengine - INFO - Epoch(train) [197][35/79] lr: 5.9612e-03 eta: 5:07:52 time: 0.2348 data_time: 0.0008 memory: 1833 loss: 1.3748 loss_prob: 0.7590 loss_thr: 0.4856 loss_db: 0.1301 2022/12/19 21:14:17 - mmengine - INFO - Epoch(train) [197][40/79] lr: 5.9612e-03 eta: 5:07:50 time: 0.2192 data_time: 0.0007 memory: 1833 loss: 1.2063 loss_prob: 0.6675 loss_thr: 0.4220 loss_db: 0.1168 2022/12/19 21:14:19 - mmengine - INFO - Epoch(train) [197][45/79] lr: 5.9612e-03 eta: 5:07:51 time: 0.2561 data_time: 0.0008 memory: 1833 loss: 1.2754 loss_prob: 0.7123 loss_thr: 0.4388 loss_db: 0.1242 2022/12/19 21:14:20 - mmengine - INFO - Epoch(train) [197][50/79] lr: 5.9612e-03 eta: 5:07:50 time: 0.2706 data_time: 0.0008 memory: 1833 loss: 1.3655 loss_prob: 0.7569 loss_thr: 0.4753 loss_db: 0.1333 2022/12/19 21:14:21 - mmengine - INFO - Epoch(train) [197][55/79] lr: 5.9612e-03 eta: 5:07:49 time: 0.2395 data_time: 0.0007 memory: 1833 loss: 1.3636 loss_prob: 0.7595 loss_thr: 0.4737 loss_db: 0.1305 2022/12/19 21:14:22 - mmengine - INFO - Epoch(train) [197][60/79] lr: 5.9612e-03 eta: 5:07:47 time: 0.2288 data_time: 0.0007 memory: 1833 loss: 1.4815 loss_prob: 0.8490 loss_thr: 0.4877 loss_db: 0.1448 2022/12/19 21:14:24 - mmengine - INFO - Epoch(train) [197][65/79] lr: 5.9612e-03 eta: 5:07:46 time: 0.2284 data_time: 0.0008 memory: 1833 loss: 1.4705 loss_prob: 0.8578 loss_thr: 0.4662 loss_db: 0.1465 2022/12/19 21:14:25 - mmengine - INFO - Epoch(train) [197][70/79] lr: 5.9612e-03 eta: 5:07:45 time: 0.2221 data_time: 0.0007 memory: 1833 loss: 1.3524 loss_prob: 0.7700 loss_thr: 0.4536 loss_db: 0.1288 2022/12/19 21:14:26 - mmengine - INFO - Epoch(train) [197][75/79] lr: 5.9612e-03 eta: 5:07:43 time: 0.2171 data_time: 0.0007 memory: 1833 loss: 1.4397 loss_prob: 0.8119 loss_thr: 0.4897 loss_db: 0.1381 2022/12/19 21:14:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:14:28 - mmengine - INFO - Epoch(train) [198][5/79] lr: 5.9558e-03 eta: 5:07:44 time: 0.2918 data_time: 0.0178 memory: 1833 loss: 1.4239 loss_prob: 0.8186 loss_thr: 0.4678 loss_db: 0.1375 2022/12/19 21:14:29 - mmengine - INFO - Epoch(train) [198][10/79] lr: 5.9558e-03 eta: 5:07:42 time: 0.2820 data_time: 0.0178 memory: 1833 loss: 1.4586 loss_prob: 0.8538 loss_thr: 0.4708 loss_db: 0.1340 2022/12/19 21:14:31 - mmengine - INFO - Epoch(train) [198][15/79] lr: 5.9558e-03 eta: 5:07:41 time: 0.2235 data_time: 0.0007 memory: 1833 loss: 1.4364 loss_prob: 0.8249 loss_thr: 0.4777 loss_db: 0.1339 2022/12/19 21:14:32 - mmengine - INFO - Epoch(train) [198][20/79] lr: 5.9558e-03 eta: 5:07:40 time: 0.2346 data_time: 0.0007 memory: 1833 loss: 1.3279 loss_prob: 0.7324 loss_thr: 0.4686 loss_db: 0.1269 2022/12/19 21:14:33 - mmengine - INFO - Epoch(train) [198][25/79] lr: 5.9558e-03 eta: 5:07:39 time: 0.2245 data_time: 0.0008 memory: 1833 loss: 1.2826 loss_prob: 0.7081 loss_thr: 0.4522 loss_db: 0.1224 2022/12/19 21:14:34 - mmengine - INFO - Epoch(train) [198][30/79] lr: 5.9558e-03 eta: 5:07:37 time: 0.2345 data_time: 0.0008 memory: 1833 loss: 1.2585 loss_prob: 0.6994 loss_thr: 0.4414 loss_db: 0.1177 2022/12/19 21:14:35 - mmengine - INFO - Epoch(train) [198][35/79] lr: 5.9558e-03 eta: 5:07:37 time: 0.2416 data_time: 0.0011 memory: 1833 loss: 1.4104 loss_prob: 0.7914 loss_thr: 0.4868 loss_db: 0.1322 2022/12/19 21:14:37 - mmengine - INFO - Epoch(train) [198][40/79] lr: 5.9558e-03 eta: 5:07:36 time: 0.2447 data_time: 0.0012 memory: 1833 loss: 1.5141 loss_prob: 0.8529 loss_thr: 0.5118 loss_db: 0.1494 2022/12/19 21:14:37 - mmengine - INFO - Epoch(train) [198][45/79] lr: 5.9558e-03 eta: 5:07:33 time: 0.2115 data_time: 0.0008 memory: 1833 loss: 1.3526 loss_prob: 0.7567 loss_thr: 0.4592 loss_db: 0.1367 2022/12/19 21:14:39 - mmengine - INFO - Epoch(train) [198][50/79] lr: 5.9558e-03 eta: 5:07:32 time: 0.2022 data_time: 0.0007 memory: 1833 loss: 1.2570 loss_prob: 0.6891 loss_thr: 0.4471 loss_db: 0.1208 2022/12/19 21:14:40 - mmengine - INFO - Epoch(train) [198][55/79] lr: 5.9558e-03 eta: 5:07:30 time: 0.2081 data_time: 0.0007 memory: 1833 loss: 1.3495 loss_prob: 0.7494 loss_thr: 0.4707 loss_db: 0.1294 2022/12/19 21:14:41 - mmengine - INFO - Epoch(train) [198][60/79] lr: 5.9558e-03 eta: 5:07:28 time: 0.1966 data_time: 0.0008 memory: 1833 loss: 1.3977 loss_prob: 0.7839 loss_thr: 0.4782 loss_db: 0.1356 2022/12/19 21:14:42 - mmengine - INFO - Epoch(train) [198][65/79] lr: 5.9558e-03 eta: 5:07:26 time: 0.2026 data_time: 0.0007 memory: 1833 loss: 1.2698 loss_prob: 0.7003 loss_thr: 0.4498 loss_db: 0.1196 2022/12/19 21:14:43 - mmengine - INFO - Epoch(train) [198][70/79] lr: 5.9558e-03 eta: 5:07:24 time: 0.2086 data_time: 0.0007 memory: 1833 loss: 1.2776 loss_prob: 0.7120 loss_thr: 0.4402 loss_db: 0.1254 2022/12/19 21:14:44 - mmengine - INFO - Epoch(train) [198][75/79] lr: 5.9558e-03 eta: 5:07:22 time: 0.2123 data_time: 0.0008 memory: 1833 loss: 1.3807 loss_prob: 0.7747 loss_thr: 0.4684 loss_db: 0.1376 2022/12/19 21:14:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:14:46 - mmengine - INFO - Epoch(train) [199][5/79] lr: 5.9505e-03 eta: 5:07:23 time: 0.2890 data_time: 0.0887 memory: 1833 loss: 1.4453 loss_prob: 0.8064 loss_thr: 0.5014 loss_db: 0.1375 2022/12/19 21:14:47 - mmengine - INFO - Epoch(train) [199][10/79] lr: 5.9505e-03 eta: 5:07:21 time: 0.2969 data_time: 0.0888 memory: 1833 loss: 1.3708 loss_prob: 0.7507 loss_thr: 0.4895 loss_db: 0.1306 2022/12/19 21:14:48 - mmengine - INFO - Epoch(train) [199][15/79] lr: 5.9505e-03 eta: 5:07:19 time: 0.2019 data_time: 0.0008 memory: 1833 loss: 1.3726 loss_prob: 0.7580 loss_thr: 0.4828 loss_db: 0.1318 2022/12/19 21:14:50 - mmengine - INFO - Epoch(train) [199][20/79] lr: 5.9505e-03 eta: 5:07:18 time: 0.2076 data_time: 0.0008 memory: 1833 loss: 1.3985 loss_prob: 0.7935 loss_thr: 0.4724 loss_db: 0.1326 2022/12/19 21:14:51 - mmengine - INFO - Epoch(train) [199][25/79] lr: 5.9505e-03 eta: 5:07:18 time: 0.2547 data_time: 0.0009 memory: 1833 loss: 1.4305 loss_prob: 0.8089 loss_thr: 0.4842 loss_db: 0.1374 2022/12/19 21:14:52 - mmengine - INFO - Epoch(train) [199][30/79] lr: 5.9505e-03 eta: 5:07:16 time: 0.2513 data_time: 0.0009 memory: 1833 loss: 1.4153 loss_prob: 0.7984 loss_thr: 0.4769 loss_db: 0.1401 2022/12/19 21:14:53 - mmengine - INFO - Epoch(train) [199][35/79] lr: 5.9505e-03 eta: 5:07:17 time: 0.2465 data_time: 0.0008 memory: 1833 loss: 1.2996 loss_prob: 0.7248 loss_thr: 0.4487 loss_db: 0.1261 2022/12/19 21:14:55 - mmengine - INFO - Epoch(train) [199][40/79] lr: 5.9505e-03 eta: 5:07:16 time: 0.2648 data_time: 0.0009 memory: 1833 loss: 1.2818 loss_prob: 0.6958 loss_thr: 0.4668 loss_db: 0.1192 2022/12/19 21:14:56 - mmengine - INFO - Epoch(train) [199][45/79] lr: 5.9505e-03 eta: 5:07:13 time: 0.2152 data_time: 0.0009 memory: 1833 loss: 1.3444 loss_prob: 0.7344 loss_thr: 0.4828 loss_db: 0.1273 2022/12/19 21:14:57 - mmengine - INFO - Epoch(train) [199][50/79] lr: 5.9505e-03 eta: 5:07:12 time: 0.2101 data_time: 0.0008 memory: 1833 loss: 1.2547 loss_prob: 0.6791 loss_thr: 0.4580 loss_db: 0.1176 2022/12/19 21:14:58 - mmengine - INFO - Epoch(train) [199][55/79] lr: 5.9505e-03 eta: 5:07:11 time: 0.2321 data_time: 0.0008 memory: 1833 loss: 1.3405 loss_prob: 0.7526 loss_thr: 0.4607 loss_db: 0.1272 2022/12/19 21:14:59 - mmengine - INFO - Epoch(train) [199][60/79] lr: 5.9505e-03 eta: 5:07:09 time: 0.2132 data_time: 0.0007 memory: 1833 loss: 1.4173 loss_prob: 0.8126 loss_thr: 0.4653 loss_db: 0.1394 2022/12/19 21:15:00 - mmengine - INFO - Epoch(train) [199][65/79] lr: 5.9505e-03 eta: 5:07:07 time: 0.2034 data_time: 0.0007 memory: 1833 loss: 1.4621 loss_prob: 0.8351 loss_thr: 0.4841 loss_db: 0.1430 2022/12/19 21:15:01 - mmengine - INFO - Epoch(train) [199][70/79] lr: 5.9505e-03 eta: 5:07:06 time: 0.2156 data_time: 0.0007 memory: 1833 loss: 1.4168 loss_prob: 0.8033 loss_thr: 0.4746 loss_db: 0.1388 2022/12/19 21:15:02 - mmengine - INFO - Epoch(train) [199][75/79] lr: 5.9505e-03 eta: 5:07:04 time: 0.2116 data_time: 0.0007 memory: 1833 loss: 1.2899 loss_prob: 0.7073 loss_thr: 0.4588 loss_db: 0.1238 2022/12/19 21:15:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:15:05 - mmengine - INFO - Epoch(train) [200][5/79] lr: 5.9451e-03 eta: 5:07:04 time: 0.2747 data_time: 0.0679 memory: 1833 loss: 1.4387 loss_prob: 0.8106 loss_thr: 0.4894 loss_db: 0.1387 2022/12/19 21:15:06 - mmengine - INFO - Epoch(train) [200][10/79] lr: 5.9451e-03 eta: 5:07:03 time: 0.2877 data_time: 0.0680 memory: 1833 loss: 1.3572 loss_prob: 0.7678 loss_thr: 0.4609 loss_db: 0.1284 2022/12/19 21:15:07 - mmengine - INFO - Epoch(train) [200][15/79] lr: 5.9451e-03 eta: 5:07:03 time: 0.2556 data_time: 0.0012 memory: 1833 loss: 1.2577 loss_prob: 0.6964 loss_thr: 0.4417 loss_db: 0.1196 2022/12/19 21:15:08 - mmengine - INFO - Epoch(train) [200][20/79] lr: 5.9451e-03 eta: 5:07:01 time: 0.2374 data_time: 0.0013 memory: 1833 loss: 1.2290 loss_prob: 0.6671 loss_thr: 0.4449 loss_db: 0.1170 2022/12/19 21:15:09 - mmengine - INFO - Epoch(train) [200][25/79] lr: 5.9451e-03 eta: 5:06:59 time: 0.2030 data_time: 0.0009 memory: 1833 loss: 1.2663 loss_prob: 0.6879 loss_thr: 0.4594 loss_db: 0.1190 2022/12/19 21:15:10 - mmengine - INFO - Epoch(train) [200][30/79] lr: 5.9451e-03 eta: 5:06:57 time: 0.2139 data_time: 0.0009 memory: 1833 loss: 1.2597 loss_prob: 0.6915 loss_thr: 0.4498 loss_db: 0.1184 2022/12/19 21:15:11 - mmengine - INFO - Epoch(train) [200][35/79] lr: 5.9451e-03 eta: 5:06:55 time: 0.2098 data_time: 0.0008 memory: 1833 loss: 1.3794 loss_prob: 0.7689 loss_thr: 0.4791 loss_db: 0.1314 2022/12/19 21:15:12 - mmengine - INFO - Epoch(train) [200][40/79] lr: 5.9451e-03 eta: 5:06:54 time: 0.2053 data_time: 0.0009 memory: 1833 loss: 1.4781 loss_prob: 0.8398 loss_thr: 0.4923 loss_db: 0.1460 2022/12/19 21:15:14 - mmengine - INFO - Epoch(train) [200][45/79] lr: 5.9451e-03 eta: 5:06:52 time: 0.2223 data_time: 0.0008 memory: 1833 loss: 1.5009 loss_prob: 0.8635 loss_thr: 0.4889 loss_db: 0.1484 2022/12/19 21:15:14 - mmengine - INFO - Epoch(train) [200][50/79] lr: 5.9451e-03 eta: 5:06:50 time: 0.2112 data_time: 0.0008 memory: 1833 loss: 1.4355 loss_prob: 0.8130 loss_thr: 0.4851 loss_db: 0.1374 2022/12/19 21:15:16 - mmengine - INFO - Epoch(train) [200][55/79] lr: 5.9451e-03 eta: 5:06:48 time: 0.1962 data_time: 0.0008 memory: 1833 loss: 1.3246 loss_prob: 0.7234 loss_thr: 0.4750 loss_db: 0.1262 2022/12/19 21:15:17 - mmengine - INFO - Epoch(train) [200][60/79] lr: 5.9451e-03 eta: 5:06:47 time: 0.2161 data_time: 0.0007 memory: 1833 loss: 1.2558 loss_prob: 0.6796 loss_thr: 0.4570 loss_db: 0.1192 2022/12/19 21:15:18 - mmengine - INFO - Epoch(train) [200][65/79] lr: 5.9451e-03 eta: 5:06:46 time: 0.2268 data_time: 0.0006 memory: 1833 loss: 1.2459 loss_prob: 0.6843 loss_thr: 0.4416 loss_db: 0.1199 2022/12/19 21:15:19 - mmengine - INFO - Epoch(train) [200][70/79] lr: 5.9451e-03 eta: 5:06:45 time: 0.2399 data_time: 0.0007 memory: 1833 loss: 1.3475 loss_prob: 0.7422 loss_thr: 0.4751 loss_db: 0.1302 2022/12/19 21:15:20 - mmengine - INFO - Epoch(train) [200][75/79] lr: 5.9451e-03 eta: 5:06:43 time: 0.2350 data_time: 0.0007 memory: 1833 loss: 1.4321 loss_prob: 0.7926 loss_thr: 0.5013 loss_db: 0.1382 2022/12/19 21:15:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:15:21 - mmengine - INFO - Epoch(val) [200][5/75] eta: 0:00:01 time: 0.0266 data_time: 0.0118 memory: 1833 2022/12/19 21:15:21 - mmengine - INFO - Epoch(val) [200][10/75] eta: 0:00:01 time: 0.0191 data_time: 0.0027 memory: 425 2022/12/19 21:15:21 - mmengine - INFO - Epoch(val) [200][15/75] eta: 0:00:01 time: 0.0351 data_time: 0.0003 memory: 425 2022/12/19 21:15:21 - mmengine - INFO - Epoch(val) [200][20/75] eta: 0:00:01 time: 0.0356 data_time: 0.0003 memory: 425 2022/12/19 21:15:22 - mmengine - INFO - Epoch(val) [200][25/75] eta: 0:00:01 time: 0.0253 data_time: 0.0103 memory: 390 2022/12/19 21:15:22 - mmengine - INFO - Epoch(val) [200][30/75] eta: 0:00:02 time: 0.0795 data_time: 0.0427 memory: 390 2022/12/19 21:15:22 - mmengine - INFO - Epoch(val) [200][35/75] eta: 0:00:01 time: 0.0895 data_time: 0.0478 memory: 368 2022/12/19 21:15:23 - mmengine - INFO - Epoch(val) [200][40/75] eta: 0:00:01 time: 0.0571 data_time: 0.0317 memory: 390 2022/12/19 21:15:23 - mmengine - INFO - Epoch(val) [200][45/75] eta: 0:00:01 time: 0.0400 data_time: 0.0167 memory: 425 2022/12/19 21:15:23 - mmengine - INFO - Epoch(val) [200][50/75] eta: 0:00:01 time: 0.0189 data_time: 0.0004 memory: 430 2022/12/19 21:15:23 - mmengine - INFO - Epoch(val) [200][55/75] eta: 0:00:00 time: 0.0207 data_time: 0.0012 memory: 407 2022/12/19 21:15:23 - mmengine - INFO - Epoch(val) [200][60/75] eta: 0:00:00 time: 0.0268 data_time: 0.0012 memory: 390 2022/12/19 21:15:23 - mmengine - INFO - Epoch(val) [200][65/75] eta: 0:00:00 time: 0.0306 data_time: 0.0004 memory: 390 2022/12/19 21:15:24 - mmengine - INFO - Epoch(val) [200][70/75] eta: 0:00:00 time: 0.0390 data_time: 0.0004 memory: 425 2022/12/19 21:15:24 - mmengine - INFO - Epoch(val) [200][75/75] eta: 0:00:00 time: 0.0395 data_time: 0.0087 memory: 368 2022/12/19 21:15:24 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 21:15:24 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7910, precision: 0.6812, hmean: 0.7320 2022/12/19 21:15:24 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7910, precision: 0.7532, hmean: 0.7716 2022/12/19 21:15:24 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7869, precision: 0.8029, hmean: 0.7948 2022/12/19 21:15:24 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7621, precision: 0.8356, hmean: 0.7972 2022/12/19 21:15:24 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6668, precision: 0.8823, hmean: 0.7596 2022/12/19 21:15:24 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3178, precision: 0.9462, hmean: 0.4758 2022/12/19 21:15:24 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0158, precision: 0.9722, hmean: 0.0311 2022/12/19 21:15:24 - mmengine - INFO - Epoch(val) [200][75/75] icdar/precision: 0.8356 icdar/recall: 0.7621 icdar/hmean: 0.7972 2022/12/19 21:15:26 - mmengine - INFO - Epoch(train) [201][5/79] lr: 5.9398e-03 eta: 5:06:44 time: 0.2888 data_time: 0.0233 memory: 1833 loss: 1.5130 loss_prob: 0.8772 loss_thr: 0.4847 loss_db: 0.1510 2022/12/19 21:15:27 - mmengine - INFO - Epoch(train) [201][10/79] lr: 5.9398e-03 eta: 5:06:43 time: 0.3083 data_time: 0.0233 memory: 1833 loss: 1.3633 loss_prob: 0.7789 loss_thr: 0.4492 loss_db: 0.1352 2022/12/19 21:15:28 - mmengine - INFO - Epoch(train) [201][15/79] lr: 5.9398e-03 eta: 5:06:42 time: 0.2261 data_time: 0.0008 memory: 1833 loss: 1.3282 loss_prob: 0.7458 loss_thr: 0.4531 loss_db: 0.1294 2022/12/19 21:15:29 - mmengine - INFO - Epoch(train) [201][20/79] lr: 5.9398e-03 eta: 5:06:41 time: 0.2292 data_time: 0.0008 memory: 1833 loss: 1.3776 loss_prob: 0.7710 loss_thr: 0.4719 loss_db: 0.1347 2022/12/19 21:15:30 - mmengine - INFO - Epoch(train) [201][25/79] lr: 5.9398e-03 eta: 5:06:39 time: 0.2269 data_time: 0.0008 memory: 1833 loss: 1.3294 loss_prob: 0.7385 loss_thr: 0.4623 loss_db: 0.1285 2022/12/19 21:15:31 - mmengine - INFO - Epoch(train) [201][30/79] lr: 5.9398e-03 eta: 5:06:38 time: 0.2265 data_time: 0.0008 memory: 1833 loss: 1.3915 loss_prob: 0.7877 loss_thr: 0.4688 loss_db: 0.1350 2022/12/19 21:15:32 - mmengine - INFO - Epoch(train) [201][35/79] lr: 5.9398e-03 eta: 5:06:36 time: 0.2116 data_time: 0.0008 memory: 1833 loss: 1.3342 loss_prob: 0.7521 loss_thr: 0.4537 loss_db: 0.1284 2022/12/19 21:15:34 - mmengine - INFO - Epoch(train) [201][40/79] lr: 5.9398e-03 eta: 5:06:34 time: 0.2085 data_time: 0.0007 memory: 1833 loss: 1.2262 loss_prob: 0.6739 loss_thr: 0.4396 loss_db: 0.1127 2022/12/19 21:15:35 - mmengine - INFO - Epoch(train) [201][45/79] lr: 5.9398e-03 eta: 5:06:32 time: 0.2122 data_time: 0.0007 memory: 1833 loss: 1.2265 loss_prob: 0.6715 loss_thr: 0.4398 loss_db: 0.1152 2022/12/19 21:15:36 - mmengine - INFO - Epoch(train) [201][50/79] lr: 5.9398e-03 eta: 5:06:31 time: 0.2090 data_time: 0.0007 memory: 1833 loss: 1.3926 loss_prob: 0.7696 loss_thr: 0.4918 loss_db: 0.1311 2022/12/19 21:15:37 - mmengine - INFO - Epoch(train) [201][55/79] lr: 5.9398e-03 eta: 5:06:29 time: 0.2102 data_time: 0.0006 memory: 1833 loss: 1.7074 loss_prob: 0.9974 loss_thr: 0.5516 loss_db: 0.1583 2022/12/19 21:15:38 - mmengine - INFO - Epoch(train) [201][60/79] lr: 5.9398e-03 eta: 5:06:28 time: 0.2160 data_time: 0.0006 memory: 1833 loss: 1.7059 loss_prob: 1.0124 loss_thr: 0.5274 loss_db: 0.1661 2022/12/19 21:15:39 - mmengine - INFO - Epoch(train) [201][65/79] lr: 5.9398e-03 eta: 5:06:28 time: 0.2516 data_time: 0.0009 memory: 1833 loss: 1.5357 loss_prob: 0.8873 loss_thr: 0.4973 loss_db: 0.1511 2022/12/19 21:15:40 - mmengine - INFO - Epoch(train) [201][70/79] lr: 5.9398e-03 eta: 5:06:26 time: 0.2418 data_time: 0.0010 memory: 1833 loss: 1.6020 loss_prob: 0.9414 loss_thr: 0.5064 loss_db: 0.1542 2022/12/19 21:15:41 - mmengine - INFO - Epoch(train) [201][75/79] lr: 5.9398e-03 eta: 5:06:25 time: 0.2190 data_time: 0.0008 memory: 1833 loss: 1.5378 loss_prob: 0.9012 loss_thr: 0.4885 loss_db: 0.1482 2022/12/19 21:15:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:15:44 - mmengine - INFO - Epoch(train) [202][5/79] lr: 5.9344e-03 eta: 5:06:26 time: 0.2963 data_time: 0.0876 memory: 1833 loss: 1.5143 loss_prob: 0.8563 loss_thr: 0.5116 loss_db: 0.1463 2022/12/19 21:15:45 - mmengine - INFO - Epoch(train) [202][10/79] lr: 5.9344e-03 eta: 5:06:24 time: 0.3020 data_time: 0.0876 memory: 1833 loss: 1.3700 loss_prob: 0.7516 loss_thr: 0.4866 loss_db: 0.1318 2022/12/19 21:15:46 - mmengine - INFO - Epoch(train) [202][15/79] lr: 5.9344e-03 eta: 5:06:23 time: 0.2277 data_time: 0.0008 memory: 1833 loss: 1.4432 loss_prob: 0.8079 loss_thr: 0.4968 loss_db: 0.1385 2022/12/19 21:15:47 - mmengine - INFO - Epoch(train) [202][20/79] lr: 5.9344e-03 eta: 5:06:21 time: 0.2201 data_time: 0.0008 memory: 1833 loss: 1.4210 loss_prob: 0.8042 loss_thr: 0.4780 loss_db: 0.1387 2022/12/19 21:15:49 - mmengine - INFO - Epoch(train) [202][25/79] lr: 5.9344e-03 eta: 5:06:20 time: 0.2177 data_time: 0.0008 memory: 1833 loss: 1.3356 loss_prob: 0.7499 loss_thr: 0.4553 loss_db: 0.1304 2022/12/19 21:15:50 - mmengine - INFO - Epoch(train) [202][30/79] lr: 5.9344e-03 eta: 5:06:19 time: 0.2317 data_time: 0.0007 memory: 1833 loss: 1.3392 loss_prob: 0.7458 loss_thr: 0.4650 loss_db: 0.1284 2022/12/19 21:15:51 - mmengine - INFO - Epoch(train) [202][35/79] lr: 5.9344e-03 eta: 5:06:17 time: 0.2178 data_time: 0.0008 memory: 1833 loss: 1.3383 loss_prob: 0.7317 loss_thr: 0.4794 loss_db: 0.1272 2022/12/19 21:15:52 - mmengine - INFO - Epoch(train) [202][40/79] lr: 5.9344e-03 eta: 5:06:17 time: 0.2385 data_time: 0.0008 memory: 1833 loss: 1.3379 loss_prob: 0.7331 loss_thr: 0.4781 loss_db: 0.1267 2022/12/19 21:15:53 - mmengine - INFO - Epoch(train) [202][45/79] lr: 5.9344e-03 eta: 5:06:15 time: 0.2501 data_time: 0.0008 memory: 1833 loss: 1.3863 loss_prob: 0.7723 loss_thr: 0.4796 loss_db: 0.1344 2022/12/19 21:15:55 - mmengine - INFO - Epoch(train) [202][50/79] lr: 5.9344e-03 eta: 5:06:16 time: 0.2736 data_time: 0.0007 memory: 1833 loss: 1.4525 loss_prob: 0.8297 loss_thr: 0.4758 loss_db: 0.1470 2022/12/19 21:15:56 - mmengine - INFO - Epoch(train) [202][55/79] lr: 5.9344e-03 eta: 5:06:15 time: 0.2750 data_time: 0.0007 memory: 1833 loss: 1.4651 loss_prob: 0.8401 loss_thr: 0.4782 loss_db: 0.1469 2022/12/19 21:15:57 - mmengine - INFO - Epoch(train) [202][60/79] lr: 5.9344e-03 eta: 5:06:14 time: 0.2277 data_time: 0.0007 memory: 1833 loss: 1.4875 loss_prob: 0.8449 loss_thr: 0.4965 loss_db: 0.1461 2022/12/19 21:15:58 - mmengine - INFO - Epoch(train) [202][65/79] lr: 5.9344e-03 eta: 5:06:12 time: 0.2172 data_time: 0.0007 memory: 1833 loss: 1.4777 loss_prob: 0.8313 loss_thr: 0.5036 loss_db: 0.1428 2022/12/19 21:15:59 - mmengine - INFO - Epoch(train) [202][70/79] lr: 5.9344e-03 eta: 5:06:11 time: 0.2241 data_time: 0.0007 memory: 1833 loss: 1.4516 loss_prob: 0.8202 loss_thr: 0.4915 loss_db: 0.1398 2022/12/19 21:16:00 - mmengine - INFO - Epoch(train) [202][75/79] lr: 5.9344e-03 eta: 5:06:09 time: 0.2270 data_time: 0.0008 memory: 1833 loss: 1.4332 loss_prob: 0.8075 loss_thr: 0.4897 loss_db: 0.1359 2022/12/19 21:16:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:16:03 - mmengine - INFO - Epoch(train) [203][5/79] lr: 5.9291e-03 eta: 5:06:10 time: 0.2783 data_time: 0.0476 memory: 1833 loss: 1.2998 loss_prob: 0.7208 loss_thr: 0.4535 loss_db: 0.1256 2022/12/19 21:16:04 - mmengine - INFO - Epoch(train) [203][10/79] lr: 5.9291e-03 eta: 5:06:08 time: 0.2900 data_time: 0.0477 memory: 1833 loss: 1.3084 loss_prob: 0.7228 loss_thr: 0.4589 loss_db: 0.1266 2022/12/19 21:16:05 - mmengine - INFO - Epoch(train) [203][15/79] lr: 5.9291e-03 eta: 5:06:07 time: 0.2288 data_time: 0.0008 memory: 1833 loss: 1.3527 loss_prob: 0.7467 loss_thr: 0.4752 loss_db: 0.1307 2022/12/19 21:16:06 - mmengine - INFO - Epoch(train) [203][20/79] lr: 5.9291e-03 eta: 5:06:05 time: 0.2186 data_time: 0.0008 memory: 1833 loss: 1.3479 loss_prob: 0.7566 loss_thr: 0.4608 loss_db: 0.1305 2022/12/19 21:16:07 - mmengine - INFO - Epoch(train) [203][25/79] lr: 5.9291e-03 eta: 5:06:03 time: 0.2058 data_time: 0.0008 memory: 1833 loss: 1.5608 loss_prob: 0.9165 loss_thr: 0.4925 loss_db: 0.1517 2022/12/19 21:16:09 - mmengine - INFO - Epoch(train) [203][30/79] lr: 5.9291e-03 eta: 5:06:03 time: 0.2397 data_time: 0.0009 memory: 1833 loss: 1.4809 loss_prob: 0.8592 loss_thr: 0.4783 loss_db: 0.1434 2022/12/19 21:16:10 - mmengine - INFO - Epoch(train) [203][35/79] lr: 5.9291e-03 eta: 5:06:01 time: 0.2417 data_time: 0.0008 memory: 1833 loss: 1.3865 loss_prob: 0.7977 loss_thr: 0.4568 loss_db: 0.1319 2022/12/19 21:16:11 - mmengine - INFO - Epoch(train) [203][40/79] lr: 5.9291e-03 eta: 5:06:02 time: 0.2624 data_time: 0.0008 memory: 1833 loss: 1.4241 loss_prob: 0.8241 loss_thr: 0.4622 loss_db: 0.1379 2022/12/19 21:16:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:16:12 - mmengine - INFO - Epoch(train) [203][45/79] lr: 5.9291e-03 eta: 5:06:01 time: 0.2613 data_time: 0.0010 memory: 1833 loss: 1.4237 loss_prob: 0.8140 loss_thr: 0.4701 loss_db: 0.1396 2022/12/19 21:16:13 - mmengine - INFO - Epoch(train) [203][50/79] lr: 5.9291e-03 eta: 5:05:58 time: 0.2015 data_time: 0.0009 memory: 1833 loss: 1.3551 loss_prob: 0.7599 loss_thr: 0.4659 loss_db: 0.1292 2022/12/19 21:16:14 - mmengine - INFO - Epoch(train) [203][55/79] lr: 5.9291e-03 eta: 5:05:57 time: 0.2057 data_time: 0.0007 memory: 1833 loss: 1.2064 loss_prob: 0.6548 loss_thr: 0.4363 loss_db: 0.1152 2022/12/19 21:16:16 - mmengine - INFO - Epoch(train) [203][60/79] lr: 5.9291e-03 eta: 5:05:56 time: 0.2302 data_time: 0.0007 memory: 1833 loss: 1.3162 loss_prob: 0.7265 loss_thr: 0.4622 loss_db: 0.1275 2022/12/19 21:16:17 - mmengine - INFO - Epoch(train) [203][65/79] lr: 5.9291e-03 eta: 5:05:54 time: 0.2213 data_time: 0.0007 memory: 1833 loss: 1.4120 loss_prob: 0.7951 loss_thr: 0.4812 loss_db: 0.1356 2022/12/19 21:16:18 - mmengine - INFO - Epoch(train) [203][70/79] lr: 5.9291e-03 eta: 5:05:53 time: 0.2161 data_time: 0.0007 memory: 1833 loss: 1.3424 loss_prob: 0.7543 loss_thr: 0.4582 loss_db: 0.1299 2022/12/19 21:16:19 - mmengine - INFO - Epoch(train) [203][75/79] lr: 5.9291e-03 eta: 5:05:51 time: 0.2164 data_time: 0.0007 memory: 1833 loss: 1.2574 loss_prob: 0.7053 loss_thr: 0.4288 loss_db: 0.1233 2022/12/19 21:16:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:16:22 - mmengine - INFO - Epoch(train) [204][5/79] lr: 5.9237e-03 eta: 5:05:52 time: 0.3041 data_time: 0.0392 memory: 1833 loss: 1.3292 loss_prob: 0.7328 loss_thr: 0.4712 loss_db: 0.1252 2022/12/19 21:16:23 - mmengine - INFO - Epoch(train) [204][10/79] lr: 5.9237e-03 eta: 5:05:51 time: 0.3297 data_time: 0.0392 memory: 1833 loss: 1.2494 loss_prob: 0.7011 loss_thr: 0.4270 loss_db: 0.1212 2022/12/19 21:16:24 - mmengine - INFO - Epoch(train) [204][15/79] lr: 5.9237e-03 eta: 5:05:49 time: 0.2165 data_time: 0.0007 memory: 1833 loss: 1.2943 loss_prob: 0.7363 loss_thr: 0.4292 loss_db: 0.1288 2022/12/19 21:16:25 - mmengine - INFO - Epoch(train) [204][20/79] lr: 5.9237e-03 eta: 5:05:47 time: 0.2019 data_time: 0.0007 memory: 1833 loss: 1.2649 loss_prob: 0.7134 loss_thr: 0.4277 loss_db: 0.1238 2022/12/19 21:16:26 - mmengine - INFO - Epoch(train) [204][25/79] lr: 5.9237e-03 eta: 5:05:45 time: 0.1974 data_time: 0.0007 memory: 1833 loss: 1.3601 loss_prob: 0.7601 loss_thr: 0.4694 loss_db: 0.1306 2022/12/19 21:16:27 - mmengine - INFO - Epoch(train) [204][30/79] lr: 5.9237e-03 eta: 5:05:45 time: 0.2270 data_time: 0.0010 memory: 1833 loss: 1.4717 loss_prob: 0.8361 loss_thr: 0.4929 loss_db: 0.1426 2022/12/19 21:16:28 - mmengine - INFO - Epoch(train) [204][35/79] lr: 5.9237e-03 eta: 5:05:43 time: 0.2358 data_time: 0.0010 memory: 1833 loss: 1.4356 loss_prob: 0.8224 loss_thr: 0.4714 loss_db: 0.1418 2022/12/19 21:16:29 - mmengine - INFO - Epoch(train) [204][40/79] lr: 5.9237e-03 eta: 5:05:41 time: 0.2098 data_time: 0.0008 memory: 1833 loss: 1.2499 loss_prob: 0.6908 loss_thr: 0.4397 loss_db: 0.1194 2022/12/19 21:16:30 - mmengine - INFO - Epoch(train) [204][45/79] lr: 5.9237e-03 eta: 5:05:39 time: 0.1979 data_time: 0.0008 memory: 1833 loss: 1.2890 loss_prob: 0.7239 loss_thr: 0.4436 loss_db: 0.1215 2022/12/19 21:16:31 - mmengine - INFO - Epoch(train) [204][50/79] lr: 5.9237e-03 eta: 5:05:37 time: 0.1981 data_time: 0.0008 memory: 1833 loss: 1.3894 loss_prob: 0.7895 loss_thr: 0.4666 loss_db: 0.1332 2022/12/19 21:16:32 - mmengine - INFO - Epoch(train) [204][55/79] lr: 5.9237e-03 eta: 5:05:35 time: 0.1953 data_time: 0.0007 memory: 1833 loss: 1.4282 loss_prob: 0.8066 loss_thr: 0.4849 loss_db: 0.1367 2022/12/19 21:16:33 - mmengine - INFO - Epoch(train) [204][60/79] lr: 5.9237e-03 eta: 5:05:33 time: 0.1900 data_time: 0.0007 memory: 1833 loss: 1.4195 loss_prob: 0.7926 loss_thr: 0.4909 loss_db: 0.1361 2022/12/19 21:16:34 - mmengine - INFO - Epoch(train) [204][65/79] lr: 5.9237e-03 eta: 5:05:31 time: 0.2127 data_time: 0.0007 memory: 1833 loss: 1.3257 loss_prob: 0.7199 loss_thr: 0.4822 loss_db: 0.1237 2022/12/19 21:16:35 - mmengine - INFO - Epoch(train) [204][70/79] lr: 5.9237e-03 eta: 5:05:30 time: 0.2371 data_time: 0.0007 memory: 1833 loss: 1.3463 loss_prob: 0.7507 loss_thr: 0.4664 loss_db: 0.1292 2022/12/19 21:16:36 - mmengine - INFO - Epoch(train) [204][75/79] lr: 5.9237e-03 eta: 5:05:28 time: 0.2186 data_time: 0.0006 memory: 1833 loss: 1.2415 loss_prob: 0.6942 loss_thr: 0.4264 loss_db: 0.1209 2022/12/19 21:16:37 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:16:39 - mmengine - INFO - Epoch(train) [205][5/79] lr: 5.9184e-03 eta: 5:05:30 time: 0.3075 data_time: 0.0341 memory: 1833 loss: 1.4593 loss_prob: 0.8264 loss_thr: 0.4965 loss_db: 0.1364 2022/12/19 21:16:40 - mmengine - INFO - Epoch(train) [205][10/79] lr: 5.9184e-03 eta: 5:05:28 time: 0.2942 data_time: 0.0341 memory: 1833 loss: 1.7424 loss_prob: 1.0506 loss_thr: 0.5251 loss_db: 0.1668 2022/12/19 21:16:41 - mmengine - INFO - Epoch(train) [205][15/79] lr: 5.9184e-03 eta: 5:05:26 time: 0.2018 data_time: 0.0008 memory: 1833 loss: 1.9811 loss_prob: 1.2029 loss_thr: 0.5848 loss_db: 0.1935 2022/12/19 21:16:43 - mmengine - INFO - Epoch(train) [205][20/79] lr: 5.9184e-03 eta: 5:05:26 time: 0.2463 data_time: 0.0009 memory: 1833 loss: 1.7249 loss_prob: 1.0058 loss_thr: 0.5526 loss_db: 0.1665 2022/12/19 21:16:44 - mmengine - INFO - Epoch(train) [205][25/79] lr: 5.9184e-03 eta: 5:05:24 time: 0.2428 data_time: 0.0010 memory: 1833 loss: 1.7194 loss_prob: 1.0021 loss_thr: 0.5546 loss_db: 0.1626 2022/12/19 21:16:45 - mmengine - INFO - Epoch(train) [205][30/79] lr: 5.9184e-03 eta: 5:05:23 time: 0.2157 data_time: 0.0008 memory: 1833 loss: 1.7597 loss_prob: 1.0264 loss_thr: 0.5599 loss_db: 0.1734 2022/12/19 21:16:46 - mmengine - INFO - Epoch(train) [205][35/79] lr: 5.9184e-03 eta: 5:05:22 time: 0.2366 data_time: 0.0009 memory: 1833 loss: 1.8359 loss_prob: 1.1015 loss_thr: 0.5523 loss_db: 0.1821 2022/12/19 21:16:47 - mmengine - INFO - Epoch(train) [205][40/79] lr: 5.9184e-03 eta: 5:05:20 time: 0.2209 data_time: 0.0009 memory: 1833 loss: 1.9123 loss_prob: 1.1666 loss_thr: 0.5527 loss_db: 0.1929 2022/12/19 21:16:48 - mmengine - INFO - Epoch(train) [205][45/79] lr: 5.9184e-03 eta: 5:05:20 time: 0.2242 data_time: 0.0008 memory: 1833 loss: 1.5969 loss_prob: 0.9309 loss_thr: 0.5035 loss_db: 0.1625 2022/12/19 21:16:49 - mmengine - INFO - Epoch(train) [205][50/79] lr: 5.9184e-03 eta: 5:05:18 time: 0.2344 data_time: 0.0008 memory: 1833 loss: 2.2625 loss_prob: 1.4764 loss_thr: 0.5793 loss_db: 0.2068 2022/12/19 21:16:51 - mmengine - INFO - Epoch(train) [205][55/79] lr: 5.9184e-03 eta: 5:05:17 time: 0.2225 data_time: 0.0008 memory: 1833 loss: 2.2605 loss_prob: 1.4771 loss_thr: 0.5755 loss_db: 0.2078 2022/12/19 21:16:52 - mmengine - INFO - Epoch(train) [205][60/79] lr: 5.9184e-03 eta: 5:05:16 time: 0.2300 data_time: 0.0007 memory: 1833 loss: 1.4623 loss_prob: 0.8464 loss_thr: 0.4709 loss_db: 0.1450 2022/12/19 21:16:53 - mmengine - INFO - Epoch(train) [205][65/79] lr: 5.9184e-03 eta: 5:05:14 time: 0.2321 data_time: 0.0007 memory: 1833 loss: 1.4999 loss_prob: 0.8662 loss_thr: 0.4879 loss_db: 0.1458 2022/12/19 21:16:54 - mmengine - INFO - Epoch(train) [205][70/79] lr: 5.9184e-03 eta: 5:05:13 time: 0.2225 data_time: 0.0007 memory: 1833 loss: 1.4478 loss_prob: 0.8254 loss_thr: 0.4817 loss_db: 0.1406 2022/12/19 21:16:55 - mmengine - INFO - Epoch(train) [205][75/79] lr: 5.9184e-03 eta: 5:05:11 time: 0.2142 data_time: 0.0007 memory: 1833 loss: 1.4698 loss_prob: 0.8338 loss_thr: 0.4925 loss_db: 0.1435 2022/12/19 21:16:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:16:58 - mmengine - INFO - Epoch(train) [206][5/79] lr: 5.9130e-03 eta: 5:05:12 time: 0.2860 data_time: 0.0230 memory: 1833 loss: 1.4751 loss_prob: 0.8425 loss_thr: 0.4863 loss_db: 0.1463 2022/12/19 21:16:59 - mmengine - INFO - Epoch(train) [206][10/79] lr: 5.9130e-03 eta: 5:05:11 time: 0.3225 data_time: 0.0233 memory: 1833 loss: 1.4650 loss_prob: 0.8408 loss_thr: 0.4840 loss_db: 0.1402 2022/12/19 21:17:00 - mmengine - INFO - Epoch(train) [206][15/79] lr: 5.9130e-03 eta: 5:05:10 time: 0.2387 data_time: 0.0010 memory: 1833 loss: 1.4976 loss_prob: 0.8572 loss_thr: 0.4981 loss_db: 0.1422 2022/12/19 21:17:01 - mmengine - INFO - Epoch(train) [206][20/79] lr: 5.9130e-03 eta: 5:05:07 time: 0.2015 data_time: 0.0008 memory: 1833 loss: 1.4251 loss_prob: 0.8144 loss_thr: 0.4721 loss_db: 0.1386 2022/12/19 21:17:02 - mmengine - INFO - Epoch(train) [206][25/79] lr: 5.9130e-03 eta: 5:05:07 time: 0.2201 data_time: 0.0008 memory: 1833 loss: 1.4534 loss_prob: 0.8360 loss_thr: 0.4780 loss_db: 0.1393 2022/12/19 21:17:03 - mmengine - INFO - Epoch(train) [206][30/79] lr: 5.9130e-03 eta: 5:05:06 time: 0.2438 data_time: 0.0008 memory: 1833 loss: 1.5233 loss_prob: 0.8893 loss_thr: 0.4872 loss_db: 0.1467 2022/12/19 21:17:05 - mmengine - INFO - Epoch(train) [206][35/79] lr: 5.9130e-03 eta: 5:05:05 time: 0.2380 data_time: 0.0008 memory: 1833 loss: 1.5128 loss_prob: 0.8728 loss_thr: 0.4935 loss_db: 0.1465 2022/12/19 21:17:06 - mmengine - INFO - Epoch(train) [206][40/79] lr: 5.9130e-03 eta: 5:05:04 time: 0.2377 data_time: 0.0008 memory: 1833 loss: 1.4267 loss_prob: 0.7859 loss_thr: 0.5056 loss_db: 0.1352 2022/12/19 21:17:07 - mmengine - INFO - Epoch(train) [206][45/79] lr: 5.9130e-03 eta: 5:05:02 time: 0.2309 data_time: 0.0008 memory: 1833 loss: 1.4441 loss_prob: 0.8051 loss_thr: 0.5004 loss_db: 0.1386 2022/12/19 21:17:08 - mmengine - INFO - Epoch(train) [206][50/79] lr: 5.9130e-03 eta: 5:05:00 time: 0.2143 data_time: 0.0008 memory: 1833 loss: 1.3665 loss_prob: 0.7685 loss_thr: 0.4666 loss_db: 0.1314 2022/12/19 21:17:09 - mmengine - INFO - Epoch(train) [206][55/79] lr: 5.9130e-03 eta: 5:04:58 time: 0.1977 data_time: 0.0007 memory: 1833 loss: 1.2956 loss_prob: 0.7341 loss_thr: 0.4372 loss_db: 0.1244 2022/12/19 21:17:10 - mmengine - INFO - Epoch(train) [206][60/79] lr: 5.9130e-03 eta: 5:04:56 time: 0.2012 data_time: 0.0006 memory: 1833 loss: 1.2666 loss_prob: 0.7168 loss_thr: 0.4269 loss_db: 0.1228 2022/12/19 21:17:11 - mmengine - INFO - Epoch(train) [206][65/79] lr: 5.9130e-03 eta: 5:04:55 time: 0.2136 data_time: 0.0006 memory: 1833 loss: 1.2664 loss_prob: 0.6974 loss_thr: 0.4474 loss_db: 0.1216 2022/12/19 21:17:12 - mmengine - INFO - Epoch(train) [206][70/79] lr: 5.9130e-03 eta: 5:04:53 time: 0.2123 data_time: 0.0006 memory: 1833 loss: 1.3346 loss_prob: 0.7353 loss_thr: 0.4696 loss_db: 0.1297 2022/12/19 21:17:13 - mmengine - INFO - Epoch(train) [206][75/79] lr: 5.9130e-03 eta: 5:04:52 time: 0.2197 data_time: 0.0007 memory: 1833 loss: 1.3474 loss_prob: 0.7498 loss_thr: 0.4650 loss_db: 0.1326 2022/12/19 21:17:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:17:17 - mmengine - INFO - Epoch(train) [207][5/79] lr: 5.9077e-03 eta: 5:04:55 time: 0.3441 data_time: 0.1012 memory: 1833 loss: 1.5019 loss_prob: 0.8443 loss_thr: 0.5109 loss_db: 0.1467 2022/12/19 21:17:18 - mmengine - INFO - Epoch(train) [207][10/79] lr: 5.9077e-03 eta: 5:04:55 time: 0.3733 data_time: 0.1013 memory: 1833 loss: 1.3338 loss_prob: 0.7391 loss_thr: 0.4669 loss_db: 0.1278 2022/12/19 21:17:19 - mmengine - INFO - Epoch(train) [207][15/79] lr: 5.9077e-03 eta: 5:04:53 time: 0.2410 data_time: 0.0008 memory: 1833 loss: 1.3639 loss_prob: 0.7689 loss_thr: 0.4611 loss_db: 0.1339 2022/12/19 21:17:20 - mmengine - INFO - Epoch(train) [207][20/79] lr: 5.9077e-03 eta: 5:04:52 time: 0.2322 data_time: 0.0008 memory: 1833 loss: 1.3855 loss_prob: 0.7820 loss_thr: 0.4672 loss_db: 0.1363 2022/12/19 21:17:21 - mmengine - INFO - Epoch(train) [207][25/79] lr: 5.9077e-03 eta: 5:04:51 time: 0.2301 data_time: 0.0007 memory: 1833 loss: 1.3735 loss_prob: 0.7708 loss_thr: 0.4702 loss_db: 0.1326 2022/12/19 21:17:22 - mmengine - INFO - Epoch(train) [207][30/79] lr: 5.9077e-03 eta: 5:04:50 time: 0.2357 data_time: 0.0007 memory: 1833 loss: 1.2773 loss_prob: 0.6948 loss_thr: 0.4639 loss_db: 0.1186 2022/12/19 21:17:23 - mmengine - INFO - Epoch(train) [207][35/79] lr: 5.9077e-03 eta: 5:04:48 time: 0.2181 data_time: 0.0007 memory: 1833 loss: 1.1865 loss_prob: 0.6436 loss_thr: 0.4328 loss_db: 0.1100 2022/12/19 21:17:24 - mmengine - INFO - Epoch(train) [207][40/79] lr: 5.9077e-03 eta: 5:04:46 time: 0.2028 data_time: 0.0008 memory: 1833 loss: 1.4189 loss_prob: 0.8144 loss_thr: 0.4670 loss_db: 0.1375 2022/12/19 21:17:26 - mmengine - INFO - Epoch(train) [207][45/79] lr: 5.9077e-03 eta: 5:04:45 time: 0.2222 data_time: 0.0008 memory: 1833 loss: 1.6220 loss_prob: 0.9343 loss_thr: 0.5311 loss_db: 0.1566 2022/12/19 21:17:27 - mmengine - INFO - Epoch(train) [207][50/79] lr: 5.9077e-03 eta: 5:04:43 time: 0.2100 data_time: 0.0008 memory: 1833 loss: 1.4905 loss_prob: 0.8212 loss_thr: 0.5296 loss_db: 0.1397 2022/12/19 21:17:28 - mmengine - INFO - Epoch(train) [207][55/79] lr: 5.9077e-03 eta: 5:04:41 time: 0.1962 data_time: 0.0007 memory: 1833 loss: 1.2523 loss_prob: 0.6681 loss_thr: 0.4675 loss_db: 0.1167 2022/12/19 21:17:29 - mmengine - INFO - Epoch(train) [207][60/79] lr: 5.9077e-03 eta: 5:04:39 time: 0.1990 data_time: 0.0009 memory: 1833 loss: 1.2924 loss_prob: 0.7212 loss_thr: 0.4459 loss_db: 0.1254 2022/12/19 21:17:30 - mmengine - INFO - Epoch(train) [207][65/79] lr: 5.9077e-03 eta: 5:04:37 time: 0.2119 data_time: 0.0010 memory: 1833 loss: 1.3383 loss_prob: 0.7547 loss_thr: 0.4528 loss_db: 0.1308 2022/12/19 21:17:31 - mmengine - INFO - Epoch(train) [207][70/79] lr: 5.9077e-03 eta: 5:04:37 time: 0.2427 data_time: 0.0009 memory: 1833 loss: 1.3796 loss_prob: 0.7760 loss_thr: 0.4690 loss_db: 0.1346 2022/12/19 21:17:32 - mmengine - INFO - Epoch(train) [207][75/79] lr: 5.9077e-03 eta: 5:04:36 time: 0.2404 data_time: 0.0009 memory: 1833 loss: 1.4136 loss_prob: 0.7944 loss_thr: 0.4806 loss_db: 0.1386 2022/12/19 21:17:33 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:17:35 - mmengine - INFO - Epoch(train) [208][5/79] lr: 5.9023e-03 eta: 5:04:35 time: 0.2758 data_time: 0.0216 memory: 1833 loss: 1.2054 loss_prob: 0.6714 loss_thr: 0.4162 loss_db: 0.1178 2022/12/19 21:17:36 - mmengine - INFO - Epoch(train) [208][10/79] lr: 5.9023e-03 eta: 5:04:34 time: 0.2859 data_time: 0.0217 memory: 1833 loss: 1.2402 loss_prob: 0.7057 loss_thr: 0.4157 loss_db: 0.1188 2022/12/19 21:17:37 - mmengine - INFO - Epoch(train) [208][15/79] lr: 5.9023e-03 eta: 5:04:33 time: 0.2349 data_time: 0.0008 memory: 1833 loss: 1.3299 loss_prob: 0.7542 loss_thr: 0.4477 loss_db: 0.1280 2022/12/19 21:17:38 - mmengine - INFO - Epoch(train) [208][20/79] lr: 5.9023e-03 eta: 5:04:32 time: 0.2369 data_time: 0.0008 memory: 1833 loss: 1.2769 loss_prob: 0.7050 loss_thr: 0.4472 loss_db: 0.1248 2022/12/19 21:17:39 - mmengine - INFO - Epoch(train) [208][25/79] lr: 5.9023e-03 eta: 5:04:30 time: 0.2149 data_time: 0.0008 memory: 1833 loss: 1.4389 loss_prob: 0.8136 loss_thr: 0.4837 loss_db: 0.1415 2022/12/19 21:17:40 - mmengine - INFO - Epoch(train) [208][30/79] lr: 5.9023e-03 eta: 5:04:29 time: 0.2160 data_time: 0.0008 memory: 1833 loss: 1.4883 loss_prob: 0.8452 loss_thr: 0.4967 loss_db: 0.1464 2022/12/19 21:17:41 - mmengine - INFO - Epoch(train) [208][35/79] lr: 5.9023e-03 eta: 5:04:27 time: 0.2131 data_time: 0.0008 memory: 1833 loss: 1.3441 loss_prob: 0.7533 loss_thr: 0.4597 loss_db: 0.1310 2022/12/19 21:17:42 - mmengine - INFO - Epoch(train) [208][40/79] lr: 5.9023e-03 eta: 5:04:25 time: 0.2035 data_time: 0.0007 memory: 1833 loss: 1.3773 loss_prob: 0.7807 loss_thr: 0.4632 loss_db: 0.1334 2022/12/19 21:17:43 - mmengine - INFO - Epoch(train) [208][45/79] lr: 5.9023e-03 eta: 5:04:24 time: 0.2174 data_time: 0.0007 memory: 1833 loss: 1.4669 loss_prob: 0.8337 loss_thr: 0.4903 loss_db: 0.1430 2022/12/19 21:17:44 - mmengine - INFO - Epoch(train) [208][50/79] lr: 5.9023e-03 eta: 5:04:22 time: 0.2141 data_time: 0.0007 memory: 1833 loss: 1.4241 loss_prob: 0.8000 loss_thr: 0.4869 loss_db: 0.1372 2022/12/19 21:17:46 - mmengine - INFO - Epoch(train) [208][55/79] lr: 5.9023e-03 eta: 5:04:20 time: 0.2119 data_time: 0.0007 memory: 1833 loss: 1.3154 loss_prob: 0.7356 loss_thr: 0.4549 loss_db: 0.1250 2022/12/19 21:17:47 - mmengine - INFO - Epoch(train) [208][60/79] lr: 5.9023e-03 eta: 5:04:19 time: 0.2291 data_time: 0.0007 memory: 1833 loss: 1.2506 loss_prob: 0.6991 loss_thr: 0.4301 loss_db: 0.1214 2022/12/19 21:17:48 - mmengine - INFO - Epoch(train) [208][65/79] lr: 5.9023e-03 eta: 5:04:17 time: 0.2238 data_time: 0.0007 memory: 1833 loss: 1.2968 loss_prob: 0.7200 loss_thr: 0.4495 loss_db: 0.1272 2022/12/19 21:17:49 - mmengine - INFO - Epoch(train) [208][70/79] lr: 5.9023e-03 eta: 5:04:15 time: 0.1991 data_time: 0.0006 memory: 1833 loss: 1.3625 loss_prob: 0.7580 loss_thr: 0.4733 loss_db: 0.1312 2022/12/19 21:17:50 - mmengine - INFO - Epoch(train) [208][75/79] lr: 5.9023e-03 eta: 5:04:13 time: 0.1888 data_time: 0.0007 memory: 1833 loss: 1.3636 loss_prob: 0.7616 loss_thr: 0.4693 loss_db: 0.1328 2022/12/19 21:17:50 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:17:52 - mmengine - INFO - Epoch(train) [209][5/79] lr: 5.8970e-03 eta: 5:04:14 time: 0.2896 data_time: 0.0695 memory: 1833 loss: 1.3532 loss_prob: 0.7489 loss_thr: 0.4736 loss_db: 0.1308 2022/12/19 21:17:53 - mmengine - INFO - Epoch(train) [209][10/79] lr: 5.8970e-03 eta: 5:04:12 time: 0.3009 data_time: 0.0696 memory: 1833 loss: 1.1901 loss_prob: 0.6503 loss_thr: 0.4265 loss_db: 0.1134 2022/12/19 21:17:55 - mmengine - INFO - Epoch(train) [209][15/79] lr: 5.8970e-03 eta: 5:04:11 time: 0.2186 data_time: 0.0008 memory: 1833 loss: 1.3356 loss_prob: 0.7610 loss_thr: 0.4449 loss_db: 0.1297 2022/12/19 21:17:56 - mmengine - INFO - Epoch(train) [209][20/79] lr: 5.8970e-03 eta: 5:04:09 time: 0.2127 data_time: 0.0008 memory: 1833 loss: 1.5285 loss_prob: 0.8803 loss_thr: 0.4983 loss_db: 0.1499 2022/12/19 21:17:57 - mmengine - INFO - Epoch(train) [209][25/79] lr: 5.8970e-03 eta: 5:04:07 time: 0.2066 data_time: 0.0008 memory: 1833 loss: 1.4562 loss_prob: 0.8195 loss_thr: 0.4949 loss_db: 0.1418 2022/12/19 21:17:58 - mmengine - INFO - Epoch(train) [209][30/79] lr: 5.8970e-03 eta: 5:04:06 time: 0.2160 data_time: 0.0008 memory: 1833 loss: 1.4748 loss_prob: 0.8406 loss_thr: 0.4902 loss_db: 0.1441 2022/12/19 21:17:59 - mmengine - INFO - Epoch(train) [209][35/79] lr: 5.8970e-03 eta: 5:04:05 time: 0.2339 data_time: 0.0010 memory: 1833 loss: 1.4449 loss_prob: 0.8285 loss_thr: 0.4752 loss_db: 0.1413 2022/12/19 21:18:00 - mmengine - INFO - Epoch(train) [209][40/79] lr: 5.8970e-03 eta: 5:04:03 time: 0.2333 data_time: 0.0010 memory: 1833 loss: 1.2644 loss_prob: 0.7008 loss_thr: 0.4406 loss_db: 0.1230 2022/12/19 21:18:01 - mmengine - INFO - Epoch(train) [209][45/79] lr: 5.8970e-03 eta: 5:04:02 time: 0.2191 data_time: 0.0008 memory: 1833 loss: 1.2514 loss_prob: 0.6857 loss_thr: 0.4472 loss_db: 0.1185 2022/12/19 21:18:02 - mmengine - INFO - Epoch(train) [209][50/79] lr: 5.8970e-03 eta: 5:04:01 time: 0.2301 data_time: 0.0008 memory: 1833 loss: 1.2663 loss_prob: 0.6951 loss_thr: 0.4529 loss_db: 0.1183 2022/12/19 21:18:03 - mmengine - INFO - Epoch(train) [209][55/79] lr: 5.8970e-03 eta: 5:03:59 time: 0.2268 data_time: 0.0007 memory: 1833 loss: 1.2576 loss_prob: 0.6953 loss_thr: 0.4435 loss_db: 0.1187 2022/12/19 21:18:04 - mmengine - INFO - Epoch(train) [209][60/79] lr: 5.8970e-03 eta: 5:03:58 time: 0.2135 data_time: 0.0007 memory: 1833 loss: 1.2054 loss_prob: 0.6465 loss_thr: 0.4462 loss_db: 0.1127 2022/12/19 21:18:05 - mmengine - INFO - Epoch(train) [209][65/79] lr: 5.8970e-03 eta: 5:03:55 time: 0.1898 data_time: 0.0007 memory: 1833 loss: 1.3643 loss_prob: 0.7339 loss_thr: 0.5039 loss_db: 0.1265 2022/12/19 21:18:06 - mmengine - INFO - Epoch(train) [209][70/79] lr: 5.8970e-03 eta: 5:03:53 time: 0.1868 data_time: 0.0008 memory: 1833 loss: 1.4745 loss_prob: 0.8296 loss_thr: 0.5052 loss_db: 0.1398 2022/12/19 21:18:08 - mmengine - INFO - Epoch(train) [209][75/79] lr: 5.8970e-03 eta: 5:03:52 time: 0.2186 data_time: 0.0007 memory: 1833 loss: 1.4137 loss_prob: 0.8029 loss_thr: 0.4729 loss_db: 0.1378 2022/12/19 21:18:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:18:10 - mmengine - INFO - Epoch(train) [210][5/79] lr: 5.8916e-03 eta: 5:03:51 time: 0.2659 data_time: 0.0389 memory: 1833 loss: 1.3993 loss_prob: 0.7944 loss_thr: 0.4679 loss_db: 0.1370 2022/12/19 21:18:11 - mmengine - INFO - Epoch(train) [210][10/79] lr: 5.8916e-03 eta: 5:03:51 time: 0.2915 data_time: 0.0390 memory: 1833 loss: 1.3812 loss_prob: 0.7825 loss_thr: 0.4624 loss_db: 0.1362 2022/12/19 21:18:12 - mmengine - INFO - Epoch(train) [210][15/79] lr: 5.8916e-03 eta: 5:03:49 time: 0.2423 data_time: 0.0008 memory: 1833 loss: 1.4632 loss_prob: 0.8336 loss_thr: 0.4868 loss_db: 0.1429 2022/12/19 21:18:14 - mmengine - INFO - Epoch(train) [210][20/79] lr: 5.8916e-03 eta: 5:03:49 time: 0.2483 data_time: 0.0008 memory: 1833 loss: 1.4312 loss_prob: 0.8069 loss_thr: 0.4842 loss_db: 0.1401 2022/12/19 21:18:15 - mmengine - INFO - Epoch(train) [210][25/79] lr: 5.8916e-03 eta: 5:03:48 time: 0.2492 data_time: 0.0009 memory: 1833 loss: 1.4326 loss_prob: 0.8084 loss_thr: 0.4832 loss_db: 0.1409 2022/12/19 21:18:16 - mmengine - INFO - Epoch(train) [210][30/79] lr: 5.8916e-03 eta: 5:03:47 time: 0.2363 data_time: 0.0011 memory: 1833 loss: 1.3361 loss_prob: 0.7516 loss_thr: 0.4537 loss_db: 0.1308 2022/12/19 21:18:17 - mmengine - INFO - Epoch(train) [210][35/79] lr: 5.8916e-03 eta: 5:03:45 time: 0.2157 data_time: 0.0010 memory: 1833 loss: 1.3115 loss_prob: 0.7273 loss_thr: 0.4590 loss_db: 0.1251 2022/12/19 21:18:18 - mmengine - INFO - Epoch(train) [210][40/79] lr: 5.8916e-03 eta: 5:03:44 time: 0.2119 data_time: 0.0008 memory: 1833 loss: 1.3040 loss_prob: 0.7098 loss_thr: 0.4715 loss_db: 0.1226 2022/12/19 21:18:19 - mmengine - INFO - Epoch(train) [210][45/79] lr: 5.8916e-03 eta: 5:03:42 time: 0.2245 data_time: 0.0008 memory: 1833 loss: 1.4257 loss_prob: 0.7900 loss_thr: 0.4984 loss_db: 0.1373 2022/12/19 21:18:20 - mmengine - INFO - Epoch(train) [210][50/79] lr: 5.8916e-03 eta: 5:03:41 time: 0.2199 data_time: 0.0008 memory: 1833 loss: 1.6743 loss_prob: 0.9510 loss_thr: 0.5637 loss_db: 0.1596 2022/12/19 21:18:21 - mmengine - INFO - Epoch(train) [210][55/79] lr: 5.8916e-03 eta: 5:03:39 time: 0.2230 data_time: 0.0008 memory: 1833 loss: 1.4999 loss_prob: 0.8457 loss_thr: 0.5130 loss_db: 0.1412 2022/12/19 21:18:23 - mmengine - INFO - Epoch(train) [210][60/79] lr: 5.8916e-03 eta: 5:03:39 time: 0.2369 data_time: 0.0007 memory: 1833 loss: 1.2479 loss_prob: 0.6918 loss_thr: 0.4355 loss_db: 0.1206 2022/12/19 21:18:24 - mmengine - INFO - Epoch(train) [210][65/79] lr: 5.8916e-03 eta: 5:03:38 time: 0.2513 data_time: 0.0008 memory: 1833 loss: 1.2492 loss_prob: 0.6928 loss_thr: 0.4357 loss_db: 0.1207 2022/12/19 21:18:25 - mmengine - INFO - Epoch(train) [210][70/79] lr: 5.8916e-03 eta: 5:03:36 time: 0.2248 data_time: 0.0008 memory: 1833 loss: 1.2814 loss_prob: 0.7069 loss_thr: 0.4517 loss_db: 0.1227 2022/12/19 21:18:26 - mmengine - INFO - Epoch(train) [210][75/79] lr: 5.8916e-03 eta: 5:03:35 time: 0.2209 data_time: 0.0008 memory: 1833 loss: 1.3396 loss_prob: 0.7457 loss_thr: 0.4665 loss_db: 0.1275 2022/12/19 21:18:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:18:29 - mmengine - INFO - Epoch(train) [211][5/79] lr: 5.8862e-03 eta: 5:03:38 time: 0.3457 data_time: 0.0240 memory: 1833 loss: 1.4446 loss_prob: 0.8050 loss_thr: 0.4990 loss_db: 0.1406 2022/12/19 21:18:31 - mmengine - INFO - Epoch(train) [211][10/79] lr: 5.8862e-03 eta: 5:03:37 time: 0.3728 data_time: 0.0241 memory: 1833 loss: 1.3149 loss_prob: 0.7288 loss_thr: 0.4576 loss_db: 0.1286 2022/12/19 21:18:32 - mmengine - INFO - Epoch(train) [211][15/79] lr: 5.8862e-03 eta: 5:03:35 time: 0.2237 data_time: 0.0017 memory: 1833 loss: 1.2464 loss_prob: 0.6832 loss_thr: 0.4434 loss_db: 0.1198 2022/12/19 21:18:33 - mmengine - INFO - Epoch(train) [211][20/79] lr: 5.8862e-03 eta: 5:03:34 time: 0.2114 data_time: 0.0016 memory: 1833 loss: 1.2428 loss_prob: 0.6821 loss_thr: 0.4411 loss_db: 0.1196 2022/12/19 21:18:34 - mmengine - INFO - Epoch(train) [211][25/79] lr: 5.8862e-03 eta: 5:03:33 time: 0.2228 data_time: 0.0008 memory: 1833 loss: 1.2014 loss_prob: 0.6613 loss_thr: 0.4248 loss_db: 0.1153 2022/12/19 21:18:35 - mmengine - INFO - Epoch(train) [211][30/79] lr: 5.8862e-03 eta: 5:03:31 time: 0.2221 data_time: 0.0008 memory: 1833 loss: 1.3340 loss_prob: 0.7485 loss_thr: 0.4552 loss_db: 0.1303 2022/12/19 21:18:36 - mmengine - INFO - Epoch(train) [211][35/79] lr: 5.8862e-03 eta: 5:03:29 time: 0.2106 data_time: 0.0007 memory: 1833 loss: 1.2980 loss_prob: 0.7174 loss_thr: 0.4554 loss_db: 0.1252 2022/12/19 21:18:37 - mmengine - INFO - Epoch(train) [211][40/79] lr: 5.8862e-03 eta: 5:03:28 time: 0.2084 data_time: 0.0007 memory: 1833 loss: 1.1898 loss_prob: 0.6497 loss_thr: 0.4280 loss_db: 0.1121 2022/12/19 21:18:38 - mmengine - INFO - Epoch(train) [211][45/79] lr: 5.8862e-03 eta: 5:03:26 time: 0.2102 data_time: 0.0008 memory: 1833 loss: 1.2654 loss_prob: 0.7189 loss_thr: 0.4231 loss_db: 0.1234 2022/12/19 21:18:39 - mmengine - INFO - Epoch(train) [211][50/79] lr: 5.8862e-03 eta: 5:03:25 time: 0.2295 data_time: 0.0008 memory: 1833 loss: 1.3475 loss_prob: 0.7743 loss_thr: 0.4407 loss_db: 0.1325 2022/12/19 21:18:40 - mmengine - INFO - Epoch(train) [211][55/79] lr: 5.8862e-03 eta: 5:03:24 time: 0.2338 data_time: 0.0008 memory: 1833 loss: 1.3086 loss_prob: 0.7429 loss_thr: 0.4388 loss_db: 0.1270 2022/12/19 21:18:42 - mmengine - INFO - Epoch(train) [211][60/79] lr: 5.8862e-03 eta: 5:03:22 time: 0.2148 data_time: 0.0007 memory: 1833 loss: 1.3328 loss_prob: 0.7500 loss_thr: 0.4517 loss_db: 0.1311 2022/12/19 21:18:43 - mmengine - INFO - Epoch(train) [211][65/79] lr: 5.8862e-03 eta: 5:03:20 time: 0.2043 data_time: 0.0006 memory: 1833 loss: 1.4750 loss_prob: 0.8380 loss_thr: 0.4886 loss_db: 0.1484 2022/12/19 21:18:44 - mmengine - INFO - Epoch(train) [211][70/79] lr: 5.8862e-03 eta: 5:03:18 time: 0.2000 data_time: 0.0006 memory: 1833 loss: 1.5236 loss_prob: 0.8715 loss_thr: 0.4988 loss_db: 0.1533 2022/12/19 21:18:45 - mmengine - INFO - Epoch(train) [211][75/79] lr: 5.8862e-03 eta: 5:03:16 time: 0.2047 data_time: 0.0006 memory: 1833 loss: 1.4404 loss_prob: 0.8090 loss_thr: 0.4930 loss_db: 0.1384 2022/12/19 21:18:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:18:48 - mmengine - INFO - Epoch(train) [212][5/79] lr: 5.8809e-03 eta: 5:03:19 time: 0.3368 data_time: 0.1027 memory: 1833 loss: 1.2503 loss_prob: 0.7000 loss_thr: 0.4292 loss_db: 0.1211 2022/12/19 21:18:49 - mmengine - INFO - Epoch(train) [212][10/79] lr: 5.8809e-03 eta: 5:03:18 time: 0.3478 data_time: 0.1029 memory: 1833 loss: 1.2309 loss_prob: 0.6767 loss_thr: 0.4361 loss_db: 0.1180 2022/12/19 21:18:50 - mmengine - INFO - Epoch(train) [212][15/79] lr: 5.8809e-03 eta: 5:03:17 time: 0.2272 data_time: 0.0009 memory: 1833 loss: 1.2256 loss_prob: 0.6725 loss_thr: 0.4380 loss_db: 0.1151 2022/12/19 21:18:51 - mmengine - INFO - Epoch(train) [212][20/79] lr: 5.8809e-03 eta: 5:03:15 time: 0.2329 data_time: 0.0009 memory: 1833 loss: 1.3148 loss_prob: 0.7350 loss_thr: 0.4546 loss_db: 0.1252 2022/12/19 21:18:52 - mmengine - INFO - Epoch(train) [212][25/79] lr: 5.8809e-03 eta: 5:03:14 time: 0.2182 data_time: 0.0009 memory: 1833 loss: 1.3861 loss_prob: 0.7787 loss_thr: 0.4743 loss_db: 0.1331 2022/12/19 21:18:53 - mmengine - INFO - Epoch(train) [212][30/79] lr: 5.8809e-03 eta: 5:03:12 time: 0.2131 data_time: 0.0009 memory: 1833 loss: 1.4124 loss_prob: 0.7865 loss_thr: 0.4906 loss_db: 0.1353 2022/12/19 21:18:54 - mmengine - INFO - Epoch(train) [212][35/79] lr: 5.8809e-03 eta: 5:03:11 time: 0.2195 data_time: 0.0009 memory: 1833 loss: 1.4387 loss_prob: 0.7981 loss_thr: 0.5023 loss_db: 0.1383 2022/12/19 21:18:56 - mmengine - INFO - Epoch(train) [212][40/79] lr: 5.8809e-03 eta: 5:03:09 time: 0.2274 data_time: 0.0009 memory: 1833 loss: 1.4808 loss_prob: 0.8349 loss_thr: 0.5023 loss_db: 0.1436 2022/12/19 21:18:57 - mmengine - INFO - Epoch(train) [212][45/79] lr: 5.8809e-03 eta: 5:03:08 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 1.4977 loss_prob: 0.8605 loss_thr: 0.4928 loss_db: 0.1444 2022/12/19 21:18:58 - mmengine - INFO - Epoch(train) [212][50/79] lr: 5.8809e-03 eta: 5:03:06 time: 0.2106 data_time: 0.0008 memory: 1833 loss: 1.6290 loss_prob: 0.9501 loss_thr: 0.5218 loss_db: 0.1571 2022/12/19 21:18:59 - mmengine - INFO - Epoch(train) [212][55/79] lr: 5.8809e-03 eta: 5:03:04 time: 0.2051 data_time: 0.0007 memory: 1833 loss: 1.6465 loss_prob: 0.9575 loss_thr: 0.5281 loss_db: 0.1609 2022/12/19 21:19:00 - mmengine - INFO - Epoch(train) [212][60/79] lr: 5.8809e-03 eta: 5:03:02 time: 0.1958 data_time: 0.0009 memory: 1833 loss: 1.4787 loss_prob: 0.8532 loss_thr: 0.4788 loss_db: 0.1467 2022/12/19 21:19:01 - mmengine - INFO - Epoch(train) [212][65/79] lr: 5.8809e-03 eta: 5:03:00 time: 0.1937 data_time: 0.0008 memory: 1833 loss: 1.3525 loss_prob: 0.7605 loss_thr: 0.4594 loss_db: 0.1327 2022/12/19 21:19:02 - mmengine - INFO - Epoch(train) [212][70/79] lr: 5.8809e-03 eta: 5:02:58 time: 0.1956 data_time: 0.0006 memory: 1833 loss: 1.3522 loss_prob: 0.7492 loss_thr: 0.4710 loss_db: 0.1320 2022/12/19 21:19:03 - mmengine - INFO - Epoch(train) [212][75/79] lr: 5.8809e-03 eta: 5:02:56 time: 0.1986 data_time: 0.0006 memory: 1833 loss: 1.3602 loss_prob: 0.7574 loss_thr: 0.4707 loss_db: 0.1321 2022/12/19 21:19:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:19:06 - mmengine - INFO - Epoch(train) [213][5/79] lr: 5.8755e-03 eta: 5:02:58 time: 0.3188 data_time: 0.0335 memory: 1833 loss: 1.2398 loss_prob: 0.6606 loss_thr: 0.4634 loss_db: 0.1158 2022/12/19 21:19:07 - mmengine - INFO - Epoch(train) [213][10/79] lr: 5.8755e-03 eta: 5:02:56 time: 0.2971 data_time: 0.0336 memory: 1833 loss: 1.3520 loss_prob: 0.7402 loss_thr: 0.4828 loss_db: 0.1289 2022/12/19 21:19:08 - mmengine - INFO - Epoch(train) [213][15/79] lr: 5.8755e-03 eta: 5:02:55 time: 0.2142 data_time: 0.0008 memory: 1833 loss: 1.4494 loss_prob: 0.8096 loss_thr: 0.4982 loss_db: 0.1415 2022/12/19 21:19:09 - mmengine - INFO - Epoch(train) [213][20/79] lr: 5.8755e-03 eta: 5:02:53 time: 0.2092 data_time: 0.0008 memory: 1833 loss: 1.3672 loss_prob: 0.7581 loss_thr: 0.4773 loss_db: 0.1318 2022/12/19 21:19:10 - mmengine - INFO - Epoch(train) [213][25/79] lr: 5.8755e-03 eta: 5:02:52 time: 0.2220 data_time: 0.0008 memory: 1833 loss: 1.4147 loss_prob: 0.7989 loss_thr: 0.4768 loss_db: 0.1389 2022/12/19 21:19:11 - mmengine - INFO - Epoch(train) [213][30/79] lr: 5.8755e-03 eta: 5:02:52 time: 0.2601 data_time: 0.0008 memory: 1833 loss: 1.3512 loss_prob: 0.7644 loss_thr: 0.4534 loss_db: 0.1334 2022/12/19 21:19:12 - mmengine - INFO - Epoch(train) [213][35/79] lr: 5.8755e-03 eta: 5:02:50 time: 0.2355 data_time: 0.0008 memory: 1833 loss: 1.2261 loss_prob: 0.6829 loss_thr: 0.4249 loss_db: 0.1183 2022/12/19 21:19:13 - mmengine - INFO - Epoch(train) [213][40/79] lr: 5.8755e-03 eta: 5:02:48 time: 0.1980 data_time: 0.0008 memory: 1833 loss: 1.2746 loss_prob: 0.7085 loss_thr: 0.4427 loss_db: 0.1234 2022/12/19 21:19:14 - mmengine - INFO - Epoch(train) [213][45/79] lr: 5.8755e-03 eta: 5:02:46 time: 0.1986 data_time: 0.0008 memory: 1833 loss: 1.3386 loss_prob: 0.7576 loss_thr: 0.4492 loss_db: 0.1318 2022/12/19 21:19:15 - mmengine - INFO - Epoch(train) [213][50/79] lr: 5.8755e-03 eta: 5:02:44 time: 0.2115 data_time: 0.0008 memory: 1833 loss: 1.2942 loss_prob: 0.7272 loss_thr: 0.4405 loss_db: 0.1266 2022/12/19 21:19:16 - mmengine - INFO - Epoch(train) [213][55/79] lr: 5.8755e-03 eta: 5:02:42 time: 0.2099 data_time: 0.0007 memory: 1833 loss: 1.2545 loss_prob: 0.6928 loss_thr: 0.4410 loss_db: 0.1206 2022/12/19 21:19:17 - mmengine - INFO - Epoch(train) [213][60/79] lr: 5.8755e-03 eta: 5:02:41 time: 0.2064 data_time: 0.0007 memory: 1833 loss: 1.3038 loss_prob: 0.7236 loss_thr: 0.4569 loss_db: 0.1234 2022/12/19 21:19:19 - mmengine - INFO - Epoch(train) [213][65/79] lr: 5.8755e-03 eta: 5:02:40 time: 0.2225 data_time: 0.0006 memory: 1833 loss: 1.3658 loss_prob: 0.7645 loss_thr: 0.4702 loss_db: 0.1311 2022/12/19 21:19:20 - mmengine - INFO - Epoch(train) [213][70/79] lr: 5.8755e-03 eta: 5:02:39 time: 0.2357 data_time: 0.0008 memory: 1833 loss: 1.4566 loss_prob: 0.8401 loss_thr: 0.4738 loss_db: 0.1426 2022/12/19 21:19:21 - mmengine - INFO - Epoch(train) [213][75/79] lr: 5.8755e-03 eta: 5:02:37 time: 0.2192 data_time: 0.0009 memory: 1833 loss: 1.2965 loss_prob: 0.7371 loss_thr: 0.4346 loss_db: 0.1248 2022/12/19 21:19:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:19:24 - mmengine - INFO - Epoch(train) [214][5/79] lr: 5.8702e-03 eta: 5:02:39 time: 0.3279 data_time: 0.0532 memory: 1833 loss: 1.2198 loss_prob: 0.6771 loss_thr: 0.4282 loss_db: 0.1145 2022/12/19 21:19:25 - mmengine - INFO - Epoch(train) [214][10/79] lr: 5.8702e-03 eta: 5:02:37 time: 0.3182 data_time: 0.0532 memory: 1833 loss: 1.1977 loss_prob: 0.6379 loss_thr: 0.4459 loss_db: 0.1139 2022/12/19 21:19:26 - mmengine - INFO - Epoch(train) [214][15/79] lr: 5.8702e-03 eta: 5:02:36 time: 0.2133 data_time: 0.0008 memory: 1833 loss: 1.2427 loss_prob: 0.6808 loss_thr: 0.4451 loss_db: 0.1167 2022/12/19 21:19:27 - mmengine - INFO - Epoch(train) [214][20/79] lr: 5.8702e-03 eta: 5:02:34 time: 0.2197 data_time: 0.0008 memory: 1833 loss: 1.2345 loss_prob: 0.6843 loss_thr: 0.4346 loss_db: 0.1156 2022/12/19 21:19:28 - mmengine - INFO - Epoch(train) [214][25/79] lr: 5.8702e-03 eta: 5:02:32 time: 0.2083 data_time: 0.0008 memory: 1833 loss: 1.3273 loss_prob: 0.7399 loss_thr: 0.4613 loss_db: 0.1261 2022/12/19 21:19:29 - mmengine - INFO - Epoch(train) [214][30/79] lr: 5.8702e-03 eta: 5:02:31 time: 0.2184 data_time: 0.0008 memory: 1833 loss: 1.3706 loss_prob: 0.7581 loss_thr: 0.4823 loss_db: 0.1302 2022/12/19 21:19:30 - mmengine - INFO - Epoch(train) [214][35/79] lr: 5.8702e-03 eta: 5:02:30 time: 0.2344 data_time: 0.0008 memory: 1833 loss: 1.3288 loss_prob: 0.7258 loss_thr: 0.4762 loss_db: 0.1267 2022/12/19 21:19:32 - mmengine - INFO - Epoch(train) [214][40/79] lr: 5.8702e-03 eta: 5:02:29 time: 0.2333 data_time: 0.0008 memory: 1833 loss: 1.3243 loss_prob: 0.7418 loss_thr: 0.4527 loss_db: 0.1298 2022/12/19 21:19:33 - mmengine - INFO - Epoch(train) [214][45/79] lr: 5.8702e-03 eta: 5:02:28 time: 0.2278 data_time: 0.0008 memory: 1833 loss: 1.3055 loss_prob: 0.7269 loss_thr: 0.4542 loss_db: 0.1244 2022/12/19 21:19:34 - mmengine - INFO - Epoch(train) [214][50/79] lr: 5.8702e-03 eta: 5:02:25 time: 0.2052 data_time: 0.0007 memory: 1833 loss: 1.3219 loss_prob: 0.7340 loss_thr: 0.4622 loss_db: 0.1257 2022/12/19 21:19:35 - mmengine - INFO - Epoch(train) [214][55/79] lr: 5.8702e-03 eta: 5:02:24 time: 0.2073 data_time: 0.0007 memory: 1833 loss: 1.3795 loss_prob: 0.7846 loss_thr: 0.4590 loss_db: 0.1359 2022/12/19 21:19:36 - mmengine - INFO - Epoch(train) [214][60/79] lr: 5.8702e-03 eta: 5:02:23 time: 0.2274 data_time: 0.0008 memory: 1833 loss: 1.4974 loss_prob: 0.8595 loss_thr: 0.4924 loss_db: 0.1455 2022/12/19 21:19:37 - mmengine - INFO - Epoch(train) [214][65/79] lr: 5.8702e-03 eta: 5:02:21 time: 0.2268 data_time: 0.0009 memory: 1833 loss: 1.4906 loss_prob: 0.8556 loss_thr: 0.4903 loss_db: 0.1446 2022/12/19 21:19:38 - mmengine - INFO - Epoch(train) [214][70/79] lr: 5.8702e-03 eta: 5:02:20 time: 0.2166 data_time: 0.0007 memory: 1833 loss: 1.2941 loss_prob: 0.7280 loss_thr: 0.4404 loss_db: 0.1257 2022/12/19 21:19:39 - mmengine - INFO - Epoch(train) [214][75/79] lr: 5.8702e-03 eta: 5:02:19 time: 0.2202 data_time: 0.0008 memory: 1833 loss: 1.1677 loss_prob: 0.6427 loss_thr: 0.4100 loss_db: 0.1150 2022/12/19 21:19:40 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:19:43 - mmengine - INFO - Epoch(train) [215][5/79] lr: 5.8648e-03 eta: 5:02:22 time: 0.3578 data_time: 0.1269 memory: 1833 loss: 1.2934 loss_prob: 0.7515 loss_thr: 0.4185 loss_db: 0.1233 2022/12/19 21:19:44 - mmengine - INFO - Epoch(train) [215][10/79] lr: 5.8648e-03 eta: 5:02:21 time: 0.3589 data_time: 0.1270 memory: 1833 loss: 1.3516 loss_prob: 0.7761 loss_thr: 0.4498 loss_db: 0.1256 2022/12/19 21:19:45 - mmengine - INFO - Epoch(train) [215][15/79] lr: 5.8648e-03 eta: 5:02:20 time: 0.2339 data_time: 0.0008 memory: 1833 loss: 1.3345 loss_prob: 0.7308 loss_thr: 0.4785 loss_db: 0.1252 2022/12/19 21:19:46 - mmengine - INFO - Epoch(train) [215][20/79] lr: 5.8648e-03 eta: 5:02:18 time: 0.2150 data_time: 0.0008 memory: 1833 loss: 1.3332 loss_prob: 0.7421 loss_thr: 0.4680 loss_db: 0.1232 2022/12/19 21:19:47 - mmengine - INFO - Epoch(train) [215][25/79] lr: 5.8648e-03 eta: 5:02:15 time: 0.1862 data_time: 0.0009 memory: 1833 loss: 1.4150 loss_prob: 0.8045 loss_thr: 0.4755 loss_db: 0.1349 2022/12/19 21:19:48 - mmengine - INFO - Epoch(train) [215][30/79] lr: 5.8648e-03 eta: 5:02:14 time: 0.2025 data_time: 0.0008 memory: 1833 loss: 1.5001 loss_prob: 0.8455 loss_thr: 0.5099 loss_db: 0.1447 2022/12/19 21:19:49 - mmengine - INFO - Epoch(train) [215][35/79] lr: 5.8648e-03 eta: 5:02:13 time: 0.2222 data_time: 0.0008 memory: 1833 loss: 1.3517 loss_prob: 0.7502 loss_thr: 0.4721 loss_db: 0.1294 2022/12/19 21:19:50 - mmengine - INFO - Epoch(train) [215][40/79] lr: 5.8648e-03 eta: 5:02:11 time: 0.2078 data_time: 0.0008 memory: 1833 loss: 1.3541 loss_prob: 0.7481 loss_thr: 0.4753 loss_db: 0.1308 2022/12/19 21:19:51 - mmengine - INFO - Epoch(train) [215][45/79] lr: 5.8648e-03 eta: 5:02:11 time: 0.2408 data_time: 0.0009 memory: 1833 loss: 1.4037 loss_prob: 0.7831 loss_thr: 0.4858 loss_db: 0.1348 2022/12/19 21:19:52 - mmengine - INFO - Epoch(train) [215][50/79] lr: 5.8648e-03 eta: 5:02:09 time: 0.2497 data_time: 0.0009 memory: 1833 loss: 1.6012 loss_prob: 0.9310 loss_thr: 0.5133 loss_db: 0.1570 2022/12/19 21:19:54 - mmengine - INFO - Epoch(train) [215][55/79] lr: 5.8648e-03 eta: 5:02:08 time: 0.2258 data_time: 0.0008 memory: 1833 loss: 1.6090 loss_prob: 0.9272 loss_thr: 0.5237 loss_db: 0.1580 2022/12/19 21:19:55 - mmengine - INFO - Epoch(train) [215][60/79] lr: 5.8648e-03 eta: 5:02:07 time: 0.2453 data_time: 0.0008 memory: 1833 loss: 1.3565 loss_prob: 0.7537 loss_thr: 0.4740 loss_db: 0.1288 2022/12/19 21:19:56 - mmengine - INFO - Epoch(train) [215][65/79] lr: 5.8648e-03 eta: 5:02:06 time: 0.2437 data_time: 0.0008 memory: 1833 loss: 1.3677 loss_prob: 0.7670 loss_thr: 0.4715 loss_db: 0.1292 2022/12/19 21:19:57 - mmengine - INFO - Epoch(train) [215][70/79] lr: 5.8648e-03 eta: 5:02:05 time: 0.2445 data_time: 0.0007 memory: 1833 loss: 1.3048 loss_prob: 0.7192 loss_thr: 0.4625 loss_db: 0.1231 2022/12/19 21:19:59 - mmengine - INFO - Epoch(train) [215][75/79] lr: 5.8648e-03 eta: 5:02:04 time: 0.2432 data_time: 0.0007 memory: 1833 loss: 1.2324 loss_prob: 0.6695 loss_thr: 0.4462 loss_db: 0.1167 2022/12/19 21:19:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:20:01 - mmengine - INFO - Epoch(train) [216][5/79] lr: 5.8595e-03 eta: 5:02:05 time: 0.2928 data_time: 0.0216 memory: 1833 loss: 1.3237 loss_prob: 0.7396 loss_thr: 0.4566 loss_db: 0.1275 2022/12/19 21:20:02 - mmengine - INFO - Epoch(train) [216][10/79] lr: 5.8595e-03 eta: 5:02:03 time: 0.2968 data_time: 0.0216 memory: 1833 loss: 1.2747 loss_prob: 0.7169 loss_thr: 0.4338 loss_db: 0.1240 2022/12/19 21:20:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:20:03 - mmengine - INFO - Epoch(train) [216][15/79] lr: 5.8595e-03 eta: 5:02:02 time: 0.2166 data_time: 0.0007 memory: 1833 loss: 1.2867 loss_prob: 0.7217 loss_thr: 0.4383 loss_db: 0.1268 2022/12/19 21:20:05 - mmengine - INFO - Epoch(train) [216][20/79] lr: 5.8595e-03 eta: 5:02:01 time: 0.2259 data_time: 0.0007 memory: 1833 loss: 1.2539 loss_prob: 0.6971 loss_thr: 0.4347 loss_db: 0.1220 2022/12/19 21:20:06 - mmengine - INFO - Epoch(train) [216][25/79] lr: 5.8595e-03 eta: 5:02:00 time: 0.2508 data_time: 0.0008 memory: 1833 loss: 1.2651 loss_prob: 0.7077 loss_thr: 0.4355 loss_db: 0.1219 2022/12/19 21:20:07 - mmengine - INFO - Epoch(train) [216][30/79] lr: 5.8595e-03 eta: 5:01:59 time: 0.2543 data_time: 0.0008 memory: 1833 loss: 1.2385 loss_prob: 0.6874 loss_thr: 0.4325 loss_db: 0.1186 2022/12/19 21:20:08 - mmengine - INFO - Epoch(train) [216][35/79] lr: 5.8595e-03 eta: 5:01:58 time: 0.2346 data_time: 0.0009 memory: 1833 loss: 1.2338 loss_prob: 0.6751 loss_thr: 0.4400 loss_db: 0.1187 2022/12/19 21:20:09 - mmengine - INFO - Epoch(train) [216][40/79] lr: 5.8595e-03 eta: 5:01:57 time: 0.2312 data_time: 0.0009 memory: 1833 loss: 1.3966 loss_prob: 0.7746 loss_thr: 0.4894 loss_db: 0.1326 2022/12/19 21:20:10 - mmengine - INFO - Epoch(train) [216][45/79] lr: 5.8595e-03 eta: 5:01:55 time: 0.2219 data_time: 0.0008 memory: 1833 loss: 1.3933 loss_prob: 0.7667 loss_thr: 0.4957 loss_db: 0.1310 2022/12/19 21:20:12 - mmengine - INFO - Epoch(train) [216][50/79] lr: 5.8595e-03 eta: 5:01:54 time: 0.2116 data_time: 0.0008 memory: 1833 loss: 1.3755 loss_prob: 0.7604 loss_thr: 0.4829 loss_db: 0.1322 2022/12/19 21:20:13 - mmengine - INFO - Epoch(train) [216][55/79] lr: 5.8595e-03 eta: 5:01:52 time: 0.2030 data_time: 0.0007 memory: 1833 loss: 1.3374 loss_prob: 0.7483 loss_thr: 0.4600 loss_db: 0.1292 2022/12/19 21:20:14 - mmengine - INFO - Epoch(train) [216][60/79] lr: 5.8595e-03 eta: 5:01:50 time: 0.2097 data_time: 0.0007 memory: 1833 loss: 1.2811 loss_prob: 0.7125 loss_thr: 0.4452 loss_db: 0.1234 2022/12/19 21:20:15 - mmengine - INFO - Epoch(train) [216][65/79] lr: 5.8595e-03 eta: 5:01:48 time: 0.2101 data_time: 0.0007 memory: 1833 loss: 1.4714 loss_prob: 0.8633 loss_thr: 0.4641 loss_db: 0.1440 2022/12/19 21:20:16 - mmengine - INFO - Epoch(train) [216][70/79] lr: 5.8595e-03 eta: 5:01:47 time: 0.2060 data_time: 0.0007 memory: 1833 loss: 1.4886 loss_prob: 0.8761 loss_thr: 0.4681 loss_db: 0.1444 2022/12/19 21:20:17 - mmengine - INFO - Epoch(train) [216][75/79] lr: 5.8595e-03 eta: 5:01:45 time: 0.2167 data_time: 0.0007 memory: 1833 loss: 1.3727 loss_prob: 0.7839 loss_thr: 0.4553 loss_db: 0.1335 2022/12/19 21:20:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:20:19 - mmengine - INFO - Epoch(train) [217][5/79] lr: 5.8541e-03 eta: 5:01:45 time: 0.2672 data_time: 0.0397 memory: 1833 loss: 1.4295 loss_prob: 0.7991 loss_thr: 0.4941 loss_db: 0.1363 2022/12/19 21:20:20 - mmengine - INFO - Epoch(train) [217][10/79] lr: 5.8541e-03 eta: 5:01:44 time: 0.2996 data_time: 0.0398 memory: 1833 loss: 1.4318 loss_prob: 0.8076 loss_thr: 0.4864 loss_db: 0.1378 2022/12/19 21:20:22 - mmengine - INFO - Epoch(train) [217][15/79] lr: 5.8541e-03 eta: 5:01:42 time: 0.2310 data_time: 0.0008 memory: 1833 loss: 1.3709 loss_prob: 0.7788 loss_thr: 0.4575 loss_db: 0.1347 2022/12/19 21:20:23 - mmengine - INFO - Epoch(train) [217][20/79] lr: 5.8541e-03 eta: 5:01:41 time: 0.2304 data_time: 0.0008 memory: 1833 loss: 1.3535 loss_prob: 0.7721 loss_thr: 0.4474 loss_db: 0.1340 2022/12/19 21:20:24 - mmengine - INFO - Epoch(train) [217][25/79] lr: 5.8541e-03 eta: 5:01:40 time: 0.2449 data_time: 0.0009 memory: 1833 loss: 1.3396 loss_prob: 0.7592 loss_thr: 0.4505 loss_db: 0.1299 2022/12/19 21:20:25 - mmengine - INFO - Epoch(train) [217][30/79] lr: 5.8541e-03 eta: 5:01:40 time: 0.2484 data_time: 0.0014 memory: 1833 loss: 1.3020 loss_prob: 0.7205 loss_thr: 0.4570 loss_db: 0.1244 2022/12/19 21:20:26 - mmengine - INFO - Epoch(train) [217][35/79] lr: 5.8541e-03 eta: 5:01:38 time: 0.2293 data_time: 0.0012 memory: 1833 loss: 1.2339 loss_prob: 0.6744 loss_thr: 0.4440 loss_db: 0.1154 2022/12/19 21:20:28 - mmengine - INFO - Epoch(train) [217][40/79] lr: 5.8541e-03 eta: 5:01:37 time: 0.2323 data_time: 0.0008 memory: 1833 loss: 1.1565 loss_prob: 0.6370 loss_thr: 0.4083 loss_db: 0.1112 2022/12/19 21:20:29 - mmengine - INFO - Epoch(train) [217][45/79] lr: 5.8541e-03 eta: 5:01:36 time: 0.2361 data_time: 0.0008 memory: 1833 loss: 1.1930 loss_prob: 0.6568 loss_thr: 0.4189 loss_db: 0.1173 2022/12/19 21:20:30 - mmengine - INFO - Epoch(train) [217][50/79] lr: 5.8541e-03 eta: 5:01:34 time: 0.2215 data_time: 0.0008 memory: 1833 loss: 1.3174 loss_prob: 0.7436 loss_thr: 0.4489 loss_db: 0.1249 2022/12/19 21:20:31 - mmengine - INFO - Epoch(train) [217][55/79] lr: 5.8541e-03 eta: 5:01:33 time: 0.2259 data_time: 0.0010 memory: 1833 loss: 1.4018 loss_prob: 0.7940 loss_thr: 0.4744 loss_db: 0.1334 2022/12/19 21:20:32 - mmengine - INFO - Epoch(train) [217][60/79] lr: 5.8541e-03 eta: 5:01:31 time: 0.2166 data_time: 0.0011 memory: 1833 loss: 1.3761 loss_prob: 0.7629 loss_thr: 0.4787 loss_db: 0.1344 2022/12/19 21:20:33 - mmengine - INFO - Epoch(train) [217][65/79] lr: 5.8541e-03 eta: 5:01:29 time: 0.2007 data_time: 0.0008 memory: 1833 loss: 1.3001 loss_prob: 0.7215 loss_thr: 0.4518 loss_db: 0.1268 2022/12/19 21:20:34 - mmengine - INFO - Epoch(train) [217][70/79] lr: 5.8541e-03 eta: 5:01:28 time: 0.2204 data_time: 0.0007 memory: 1833 loss: 1.2806 loss_prob: 0.7211 loss_thr: 0.4350 loss_db: 0.1245 2022/12/19 21:20:35 - mmengine - INFO - Epoch(train) [217][75/79] lr: 5.8541e-03 eta: 5:01:27 time: 0.2238 data_time: 0.0007 memory: 1833 loss: 1.2609 loss_prob: 0.7037 loss_thr: 0.4341 loss_db: 0.1232 2022/12/19 21:20:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:20:38 - mmengine - INFO - Epoch(train) [218][5/79] lr: 5.8487e-03 eta: 5:01:26 time: 0.2630 data_time: 0.0213 memory: 1833 loss: 1.4487 loss_prob: 0.8203 loss_thr: 0.4878 loss_db: 0.1406 2022/12/19 21:20:39 - mmengine - INFO - Epoch(train) [218][10/79] lr: 5.8487e-03 eta: 5:01:26 time: 0.3282 data_time: 0.0214 memory: 1833 loss: 1.3997 loss_prob: 0.7970 loss_thr: 0.4664 loss_db: 0.1363 2022/12/19 21:20:40 - mmengine - INFO - Epoch(train) [218][15/79] lr: 5.8487e-03 eta: 5:01:26 time: 0.2775 data_time: 0.0009 memory: 1833 loss: 1.3550 loss_prob: 0.7726 loss_thr: 0.4496 loss_db: 0.1328 2022/12/19 21:20:41 - mmengine - INFO - Epoch(train) [218][20/79] lr: 5.8487e-03 eta: 5:01:24 time: 0.2368 data_time: 0.0010 memory: 1833 loss: 1.2466 loss_prob: 0.6983 loss_thr: 0.4270 loss_db: 0.1214 2022/12/19 21:20:43 - mmengine - INFO - Epoch(train) [218][25/79] lr: 5.8487e-03 eta: 5:01:24 time: 0.2403 data_time: 0.0009 memory: 1833 loss: 1.2906 loss_prob: 0.7105 loss_thr: 0.4558 loss_db: 0.1244 2022/12/19 21:20:44 - mmengine - INFO - Epoch(train) [218][30/79] lr: 5.8487e-03 eta: 5:01:22 time: 0.2361 data_time: 0.0009 memory: 1833 loss: 1.4048 loss_prob: 0.7872 loss_thr: 0.4789 loss_db: 0.1388 2022/12/19 21:20:45 - mmengine - INFO - Epoch(train) [218][35/79] lr: 5.8487e-03 eta: 5:01:21 time: 0.2175 data_time: 0.0008 memory: 1833 loss: 1.5200 loss_prob: 0.8632 loss_thr: 0.5077 loss_db: 0.1492 2022/12/19 21:20:46 - mmengine - INFO - Epoch(train) [218][40/79] lr: 5.8487e-03 eta: 5:01:20 time: 0.2408 data_time: 0.0008 memory: 1833 loss: 1.4099 loss_prob: 0.7910 loss_thr: 0.4830 loss_db: 0.1358 2022/12/19 21:20:47 - mmengine - INFO - Epoch(train) [218][45/79] lr: 5.8487e-03 eta: 5:01:19 time: 0.2413 data_time: 0.0008 memory: 1833 loss: 1.1741 loss_prob: 0.6447 loss_thr: 0.4169 loss_db: 0.1125 2022/12/19 21:20:49 - mmengine - INFO - Epoch(train) [218][50/79] lr: 5.8487e-03 eta: 5:01:18 time: 0.2339 data_time: 0.0008 memory: 1833 loss: 1.2862 loss_prob: 0.7102 loss_thr: 0.4510 loss_db: 0.1250 2022/12/19 21:20:50 - mmengine - INFO - Epoch(train) [218][55/79] lr: 5.8487e-03 eta: 5:01:16 time: 0.2187 data_time: 0.0007 memory: 1833 loss: 1.3258 loss_prob: 0.7337 loss_thr: 0.4658 loss_db: 0.1263 2022/12/19 21:20:51 - mmengine - INFO - Epoch(train) [218][60/79] lr: 5.8487e-03 eta: 5:01:14 time: 0.2004 data_time: 0.0006 memory: 1833 loss: 1.4135 loss_prob: 0.7902 loss_thr: 0.4888 loss_db: 0.1346 2022/12/19 21:20:52 - mmengine - INFO - Epoch(train) [218][65/79] lr: 5.8487e-03 eta: 5:01:12 time: 0.1961 data_time: 0.0006 memory: 1833 loss: 1.5071 loss_prob: 0.8463 loss_thr: 0.5150 loss_db: 0.1458 2022/12/19 21:20:52 - mmengine - INFO - Epoch(train) [218][70/79] lr: 5.8487e-03 eta: 5:01:10 time: 0.1858 data_time: 0.0007 memory: 1833 loss: 1.3645 loss_prob: 0.7732 loss_thr: 0.4629 loss_db: 0.1284 2022/12/19 21:20:53 - mmengine - INFO - Epoch(train) [218][75/79] lr: 5.8487e-03 eta: 5:01:07 time: 0.1877 data_time: 0.0006 memory: 1833 loss: 1.3933 loss_prob: 0.8062 loss_thr: 0.4523 loss_db: 0.1349 2022/12/19 21:20:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:20:57 - mmengine - INFO - Epoch(train) [219][5/79] lr: 5.8434e-03 eta: 5:01:10 time: 0.3283 data_time: 0.0289 memory: 1833 loss: 1.3752 loss_prob: 0.7754 loss_thr: 0.4659 loss_db: 0.1339 2022/12/19 21:20:58 - mmengine - INFO - Epoch(train) [219][10/79] lr: 5.8434e-03 eta: 5:01:08 time: 0.3393 data_time: 0.0290 memory: 1833 loss: 1.4259 loss_prob: 0.8104 loss_thr: 0.4773 loss_db: 0.1382 2022/12/19 21:20:59 - mmengine - INFO - Epoch(train) [219][15/79] lr: 5.8434e-03 eta: 5:01:07 time: 0.2264 data_time: 0.0008 memory: 1833 loss: 1.4482 loss_prob: 0.8129 loss_thr: 0.4967 loss_db: 0.1387 2022/12/19 21:21:00 - mmengine - INFO - Epoch(train) [219][20/79] lr: 5.8434e-03 eta: 5:01:06 time: 0.2311 data_time: 0.0008 memory: 1833 loss: 1.2850 loss_prob: 0.6996 loss_thr: 0.4601 loss_db: 0.1253 2022/12/19 21:21:01 - mmengine - INFO - Epoch(train) [219][25/79] lr: 5.8434e-03 eta: 5:01:04 time: 0.2170 data_time: 0.0008 memory: 1833 loss: 1.3206 loss_prob: 0.7297 loss_thr: 0.4612 loss_db: 0.1296 2022/12/19 21:21:02 - mmengine - INFO - Epoch(train) [219][30/79] lr: 5.8434e-03 eta: 5:01:02 time: 0.2080 data_time: 0.0008 memory: 1833 loss: 1.3497 loss_prob: 0.7652 loss_thr: 0.4511 loss_db: 0.1334 2022/12/19 21:21:03 - mmengine - INFO - Epoch(train) [219][35/79] lr: 5.8434e-03 eta: 5:01:01 time: 0.2168 data_time: 0.0008 memory: 1833 loss: 1.2494 loss_prob: 0.6992 loss_thr: 0.4270 loss_db: 0.1231 2022/12/19 21:21:04 - mmengine - INFO - Epoch(train) [219][40/79] lr: 5.8434e-03 eta: 5:01:00 time: 0.2328 data_time: 0.0008 memory: 1833 loss: 1.2152 loss_prob: 0.6683 loss_thr: 0.4310 loss_db: 0.1159 2022/12/19 21:21:05 - mmengine - INFO - Epoch(train) [219][45/79] lr: 5.8434e-03 eta: 5:00:58 time: 0.2215 data_time: 0.0008 memory: 1833 loss: 1.2693 loss_prob: 0.7034 loss_thr: 0.4459 loss_db: 0.1200 2022/12/19 21:21:06 - mmengine - INFO - Epoch(train) [219][50/79] lr: 5.8434e-03 eta: 5:00:56 time: 0.1977 data_time: 0.0007 memory: 1833 loss: 1.3046 loss_prob: 0.7222 loss_thr: 0.4608 loss_db: 0.1215 2022/12/19 21:21:07 - mmengine - INFO - Epoch(train) [219][55/79] lr: 5.8434e-03 eta: 5:00:55 time: 0.2094 data_time: 0.0007 memory: 1833 loss: 1.2535 loss_prob: 0.6946 loss_thr: 0.4393 loss_db: 0.1195 2022/12/19 21:21:08 - mmengine - INFO - Epoch(train) [219][60/79] lr: 5.8434e-03 eta: 5:00:53 time: 0.2165 data_time: 0.0006 memory: 1833 loss: 1.2236 loss_prob: 0.6769 loss_thr: 0.4264 loss_db: 0.1202 2022/12/19 21:21:09 - mmengine - INFO - Epoch(train) [219][65/79] lr: 5.8434e-03 eta: 5:00:51 time: 0.1976 data_time: 0.0007 memory: 1833 loss: 1.3579 loss_prob: 0.7718 loss_thr: 0.4545 loss_db: 0.1317 2022/12/19 21:21:11 - mmengine - INFO - Epoch(train) [219][70/79] lr: 5.8434e-03 eta: 5:00:50 time: 0.2139 data_time: 0.0007 memory: 1833 loss: 1.3653 loss_prob: 0.7783 loss_thr: 0.4553 loss_db: 0.1317 2022/12/19 21:21:12 - mmengine - INFO - Epoch(train) [219][75/79] lr: 5.8434e-03 eta: 5:00:50 time: 0.2559 data_time: 0.0008 memory: 1833 loss: 1.3241 loss_prob: 0.7332 loss_thr: 0.4654 loss_db: 0.1255 2022/12/19 21:21:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:21:15 - mmengine - INFO - Epoch(train) [220][5/79] lr: 5.8380e-03 eta: 5:00:50 time: 0.2870 data_time: 0.0604 memory: 1833 loss: 1.3141 loss_prob: 0.7344 loss_thr: 0.4528 loss_db: 0.1270 2022/12/19 21:21:16 - mmengine - INFO - Epoch(train) [220][10/79] lr: 5.8380e-03 eta: 5:00:48 time: 0.2879 data_time: 0.0605 memory: 1833 loss: 1.2934 loss_prob: 0.7157 loss_thr: 0.4522 loss_db: 0.1255 2022/12/19 21:21:17 - mmengine - INFO - Epoch(train) [220][15/79] lr: 5.8380e-03 eta: 5:00:46 time: 0.2091 data_time: 0.0009 memory: 1833 loss: 1.3008 loss_prob: 0.7098 loss_thr: 0.4668 loss_db: 0.1242 2022/12/19 21:21:18 - mmengine - INFO - Epoch(train) [220][20/79] lr: 5.8380e-03 eta: 5:00:45 time: 0.2197 data_time: 0.0009 memory: 1833 loss: 1.2203 loss_prob: 0.6635 loss_thr: 0.4432 loss_db: 0.1136 2022/12/19 21:21:19 - mmengine - INFO - Epoch(train) [220][25/79] lr: 5.8380e-03 eta: 5:00:44 time: 0.2245 data_time: 0.0009 memory: 1833 loss: 1.1091 loss_prob: 0.5935 loss_thr: 0.4111 loss_db: 0.1045 2022/12/19 21:21:20 - mmengine - INFO - Epoch(train) [220][30/79] lr: 5.8380e-03 eta: 5:00:42 time: 0.2198 data_time: 0.0009 memory: 1833 loss: 1.1486 loss_prob: 0.6065 loss_thr: 0.4334 loss_db: 0.1087 2022/12/19 21:21:21 - mmengine - INFO - Epoch(train) [220][35/79] lr: 5.8380e-03 eta: 5:00:41 time: 0.2288 data_time: 0.0008 memory: 1833 loss: 1.3385 loss_prob: 0.7239 loss_thr: 0.4872 loss_db: 0.1275 2022/12/19 21:21:22 - mmengine - INFO - Epoch(train) [220][40/79] lr: 5.8380e-03 eta: 5:00:40 time: 0.2336 data_time: 0.0007 memory: 1833 loss: 1.4015 loss_prob: 0.7826 loss_thr: 0.4856 loss_db: 0.1333 2022/12/19 21:21:23 - mmengine - INFO - Epoch(train) [220][45/79] lr: 5.8380e-03 eta: 5:00:38 time: 0.2054 data_time: 0.0008 memory: 1833 loss: 1.2525 loss_prob: 0.7068 loss_thr: 0.4267 loss_db: 0.1190 2022/12/19 21:21:24 - mmengine - INFO - Epoch(train) [220][50/79] lr: 5.8380e-03 eta: 5:00:36 time: 0.1991 data_time: 0.0008 memory: 1833 loss: 1.2598 loss_prob: 0.7072 loss_thr: 0.4304 loss_db: 0.1223 2022/12/19 21:21:25 - mmengine - INFO - Epoch(train) [220][55/79] lr: 5.8380e-03 eta: 5:00:34 time: 0.2002 data_time: 0.0007 memory: 1833 loss: 1.1623 loss_prob: 0.6405 loss_thr: 0.4094 loss_db: 0.1124 2022/12/19 21:21:26 - mmengine - INFO - Epoch(train) [220][60/79] lr: 5.8380e-03 eta: 5:00:32 time: 0.1926 data_time: 0.0006 memory: 1833 loss: 1.1691 loss_prob: 0.6475 loss_thr: 0.4102 loss_db: 0.1114 2022/12/19 21:21:28 - mmengine - INFO - Epoch(train) [220][65/79] lr: 5.8380e-03 eta: 5:00:32 time: 0.2525 data_time: 0.0007 memory: 1833 loss: 1.3584 loss_prob: 0.7640 loss_thr: 0.4633 loss_db: 0.1311 2022/12/19 21:21:29 - mmengine - INFO - Epoch(train) [220][70/79] lr: 5.8380e-03 eta: 5:00:31 time: 0.2591 data_time: 0.0007 memory: 1833 loss: 1.4867 loss_prob: 0.8606 loss_thr: 0.4793 loss_db: 0.1468 2022/12/19 21:21:30 - mmengine - INFO - Epoch(train) [220][75/79] lr: 5.8380e-03 eta: 5:00:29 time: 0.2107 data_time: 0.0007 memory: 1833 loss: 1.4700 loss_prob: 0.8536 loss_thr: 0.4705 loss_db: 0.1458 2022/12/19 21:21:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:21:31 - mmengine - INFO - Epoch(val) [220][5/75] eta: 0:00:01 time: 0.0265 data_time: 0.0113 memory: 1833 2022/12/19 21:21:31 - mmengine - INFO - Epoch(val) [220][10/75] eta: 0:00:01 time: 0.0199 data_time: 0.0029 memory: 425 2022/12/19 21:21:31 - mmengine - INFO - Epoch(val) [220][15/75] eta: 0:00:01 time: 0.0361 data_time: 0.0003 memory: 425 2022/12/19 21:21:31 - mmengine - INFO - Epoch(val) [220][20/75] eta: 0:00:01 time: 0.0367 data_time: 0.0004 memory: 425 2022/12/19 21:21:31 - mmengine - INFO - Epoch(val) [220][25/75] eta: 0:00:01 time: 0.0268 data_time: 0.0093 memory: 390 2022/12/19 21:21:32 - mmengine - INFO - Epoch(val) [220][30/75] eta: 0:00:01 time: 0.0726 data_time: 0.0412 memory: 390 2022/12/19 21:21:32 - mmengine - INFO - Epoch(val) [220][35/75] eta: 0:00:01 time: 0.0738 data_time: 0.0430 memory: 368 2022/12/19 21:21:32 - mmengine - INFO - Epoch(val) [220][40/75] eta: 0:00:01 time: 0.0430 data_time: 0.0226 memory: 390 2022/12/19 21:21:32 - mmengine - INFO - Epoch(val) [220][45/75] eta: 0:00:01 time: 0.0336 data_time: 0.0118 memory: 425 2022/12/19 21:21:33 - mmengine - INFO - Epoch(val) [220][50/75] eta: 0:00:00 time: 0.0189 data_time: 0.0010 memory: 430 2022/12/19 21:21:33 - mmengine - INFO - Epoch(val) [220][55/75] eta: 0:00:00 time: 0.0216 data_time: 0.0036 memory: 407 2022/12/19 21:21:33 - mmengine - INFO - Epoch(val) [220][60/75] eta: 0:00:00 time: 0.0275 data_time: 0.0029 memory: 390 2022/12/19 21:21:33 - mmengine - INFO - Epoch(val) [220][65/75] eta: 0:00:00 time: 0.0264 data_time: 0.0003 memory: 390 2022/12/19 21:21:33 - mmengine - INFO - Epoch(val) [220][70/75] eta: 0:00:00 time: 0.0323 data_time: 0.0003 memory: 425 2022/12/19 21:21:33 - mmengine - INFO - Epoch(val) [220][75/75] eta: 0:00:00 time: 0.0372 data_time: 0.0091 memory: 368 2022/12/19 21:21:33 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 21:21:33 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7865, precision: 0.6845, hmean: 0.7319 2022/12/19 21:21:33 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7865, precision: 0.7535, hmean: 0.7696 2022/12/19 21:21:33 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7851, precision: 0.8040, hmean: 0.7944 2022/12/19 21:21:33 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7738, precision: 0.8357, hmean: 0.8036 2022/12/19 21:21:33 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6971, precision: 0.8925, hmean: 0.7828 2022/12/19 21:21:33 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3666, precision: 0.9575, hmean: 0.5302 2022/12/19 21:21:33 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0144, precision: 0.9697, hmean: 0.0285 2022/12/19 21:21:33 - mmengine - INFO - Epoch(val) [220][75/75] icdar/precision: 0.8357 icdar/recall: 0.7738 icdar/hmean: 0.8036 2022/12/19 21:21:33 - mmengine - INFO - The previous best checkpoint work_dirs/dbnet_resnet18_fpnc_1200e_totaltext/best_icdar/hmean_epoch_160.pth is removed 2022/12/19 21:21:34 - mmengine - INFO - The best checkpoint with 0.8036 icdar/hmean at 220 epoch is saved to best_icdar/hmean_epoch_220.pth. 2022/12/19 21:21:36 - mmengine - INFO - Epoch(train) [221][5/79] lr: 5.8327e-03 eta: 5:00:28 time: 0.2570 data_time: 0.0414 memory: 1833 loss: 1.1803 loss_prob: 0.6384 loss_thr: 0.4288 loss_db: 0.1130 2022/12/19 21:21:37 - mmengine - INFO - Epoch(train) [221][10/79] lr: 5.8327e-03 eta: 5:00:26 time: 0.2595 data_time: 0.0415 memory: 1833 loss: 1.2914 loss_prob: 0.7097 loss_thr: 0.4577 loss_db: 0.1240 2022/12/19 21:21:38 - mmengine - INFO - Epoch(train) [221][15/79] lr: 5.8327e-03 eta: 5:00:25 time: 0.2062 data_time: 0.0009 memory: 1833 loss: 1.3472 loss_prob: 0.7519 loss_thr: 0.4649 loss_db: 0.1304 2022/12/19 21:21:39 - mmengine - INFO - Epoch(train) [221][20/79] lr: 5.8327e-03 eta: 5:00:22 time: 0.2019 data_time: 0.0008 memory: 1833 loss: 1.3516 loss_prob: 0.7646 loss_thr: 0.4541 loss_db: 0.1330 2022/12/19 21:21:40 - mmengine - INFO - Epoch(train) [221][25/79] lr: 5.8327e-03 eta: 5:00:21 time: 0.2159 data_time: 0.0007 memory: 1833 loss: 1.3215 loss_prob: 0.7449 loss_thr: 0.4490 loss_db: 0.1276 2022/12/19 21:21:41 - mmengine - INFO - Epoch(train) [221][30/79] lr: 5.8327e-03 eta: 5:00:20 time: 0.2397 data_time: 0.0008 memory: 1833 loss: 1.2995 loss_prob: 0.7181 loss_thr: 0.4576 loss_db: 0.1238 2022/12/19 21:21:42 - mmengine - INFO - Epoch(train) [221][35/79] lr: 5.8327e-03 eta: 5:00:19 time: 0.2282 data_time: 0.0008 memory: 1833 loss: 1.3779 loss_prob: 0.7817 loss_thr: 0.4615 loss_db: 0.1347 2022/12/19 21:21:44 - mmengine - INFO - Epoch(train) [221][40/79] lr: 5.8327e-03 eta: 5:00:19 time: 0.2452 data_time: 0.0009 memory: 1833 loss: 1.2506 loss_prob: 0.7021 loss_thr: 0.4269 loss_db: 0.1216 2022/12/19 21:21:45 - mmengine - INFO - Epoch(train) [221][45/79] lr: 5.8327e-03 eta: 5:00:17 time: 0.2371 data_time: 0.0009 memory: 1833 loss: 1.2072 loss_prob: 0.6597 loss_thr: 0.4311 loss_db: 0.1164 2022/12/19 21:21:46 - mmengine - INFO - Epoch(train) [221][50/79] lr: 5.8327e-03 eta: 5:00:16 time: 0.2146 data_time: 0.0008 memory: 1833 loss: 1.2078 loss_prob: 0.6686 loss_thr: 0.4228 loss_db: 0.1165 2022/12/19 21:21:47 - mmengine - INFO - Epoch(train) [221][55/79] lr: 5.8327e-03 eta: 5:00:14 time: 0.2304 data_time: 0.0007 memory: 1833 loss: 1.1589 loss_prob: 0.6438 loss_thr: 0.4056 loss_db: 0.1095 2022/12/19 21:21:48 - mmengine - INFO - Epoch(train) [221][60/79] lr: 5.8327e-03 eta: 5:00:13 time: 0.2245 data_time: 0.0007 memory: 1833 loss: 1.1329 loss_prob: 0.6239 loss_thr: 0.4000 loss_db: 0.1090 2022/12/19 21:21:49 - mmengine - INFO - Epoch(train) [221][65/79] lr: 5.8327e-03 eta: 5:00:11 time: 0.2182 data_time: 0.0008 memory: 1833 loss: 1.2120 loss_prob: 0.6686 loss_thr: 0.4270 loss_db: 0.1164 2022/12/19 21:21:50 - mmengine - INFO - Epoch(train) [221][70/79] lr: 5.8327e-03 eta: 5:00:11 time: 0.2461 data_time: 0.0008 memory: 1833 loss: 1.2705 loss_prob: 0.7051 loss_thr: 0.4461 loss_db: 0.1193 2022/12/19 21:21:51 - mmengine - INFO - Epoch(train) [221][75/79] lr: 5.8327e-03 eta: 5:00:09 time: 0.2408 data_time: 0.0008 memory: 1833 loss: 1.1922 loss_prob: 0.6485 loss_thr: 0.4315 loss_db: 0.1123 2022/12/19 21:21:52 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:21:54 - mmengine - INFO - Epoch(train) [222][5/79] lr: 5.8273e-03 eta: 5:00:10 time: 0.2987 data_time: 0.1184 memory: 1833 loss: 1.2598 loss_prob: 0.7030 loss_thr: 0.4333 loss_db: 0.1235 2022/12/19 21:21:55 - mmengine - INFO - Epoch(train) [222][10/79] lr: 5.8273e-03 eta: 5:00:09 time: 0.3137 data_time: 0.1185 memory: 1833 loss: 1.2923 loss_prob: 0.7164 loss_thr: 0.4510 loss_db: 0.1249 2022/12/19 21:21:56 - mmengine - INFO - Epoch(train) [222][15/79] lr: 5.8273e-03 eta: 5:00:07 time: 0.2162 data_time: 0.0008 memory: 1833 loss: 1.3914 loss_prob: 0.7779 loss_thr: 0.4782 loss_db: 0.1353 2022/12/19 21:21:58 - mmengine - INFO - Epoch(train) [222][20/79] lr: 5.8273e-03 eta: 5:00:06 time: 0.2203 data_time: 0.0008 memory: 1833 loss: 1.3588 loss_prob: 0.7563 loss_thr: 0.4703 loss_db: 0.1321 2022/12/19 21:21:59 - mmengine - INFO - Epoch(train) [222][25/79] lr: 5.8273e-03 eta: 5:00:04 time: 0.2252 data_time: 0.0008 memory: 1833 loss: 1.2937 loss_prob: 0.7207 loss_thr: 0.4461 loss_db: 0.1269 2022/12/19 21:22:00 - mmengine - INFO - Epoch(train) [222][30/79] lr: 5.8273e-03 eta: 5:00:04 time: 0.2523 data_time: 0.0009 memory: 1833 loss: 1.2780 loss_prob: 0.7154 loss_thr: 0.4389 loss_db: 0.1236 2022/12/19 21:22:01 - mmengine - INFO - Epoch(train) [222][35/79] lr: 5.8273e-03 eta: 5:00:03 time: 0.2514 data_time: 0.0009 memory: 1833 loss: 1.2784 loss_prob: 0.7189 loss_thr: 0.4343 loss_db: 0.1253 2022/12/19 21:22:02 - mmengine - INFO - Epoch(train) [222][40/79] lr: 5.8273e-03 eta: 5:00:01 time: 0.2049 data_time: 0.0008 memory: 1833 loss: 1.3377 loss_prob: 0.7532 loss_thr: 0.4531 loss_db: 0.1314 2022/12/19 21:22:03 - mmengine - INFO - Epoch(train) [222][45/79] lr: 5.8273e-03 eta: 5:00:00 time: 0.2107 data_time: 0.0008 memory: 1833 loss: 1.5458 loss_prob: 0.8931 loss_thr: 0.5005 loss_db: 0.1521 2022/12/19 21:22:04 - mmengine - INFO - Epoch(train) [222][50/79] lr: 5.8273e-03 eta: 4:59:58 time: 0.2297 data_time: 0.0008 memory: 1833 loss: 1.5346 loss_prob: 0.8858 loss_thr: 0.4961 loss_db: 0.1527 2022/12/19 21:22:06 - mmengine - INFO - Epoch(train) [222][55/79] lr: 5.8273e-03 eta: 4:59:57 time: 0.2307 data_time: 0.0008 memory: 1833 loss: 1.2545 loss_prob: 0.6916 loss_thr: 0.4427 loss_db: 0.1203 2022/12/19 21:22:07 - mmengine - INFO - Epoch(train) [222][60/79] lr: 5.8273e-03 eta: 4:59:55 time: 0.2209 data_time: 0.0007 memory: 1833 loss: 1.1888 loss_prob: 0.6431 loss_thr: 0.4326 loss_db: 0.1131 2022/12/19 21:22:08 - mmengine - INFO - Epoch(train) [222][65/79] lr: 5.8273e-03 eta: 4:59:54 time: 0.2086 data_time: 0.0007 memory: 1833 loss: 1.2625 loss_prob: 0.6946 loss_thr: 0.4459 loss_db: 0.1219 2022/12/19 21:22:09 - mmengine - INFO - Epoch(train) [222][70/79] lr: 5.8273e-03 eta: 4:59:53 time: 0.2244 data_time: 0.0007 memory: 1833 loss: 1.2097 loss_prob: 0.6703 loss_thr: 0.4235 loss_db: 0.1160 2022/12/19 21:22:10 - mmengine - INFO - Epoch(train) [222][75/79] lr: 5.8273e-03 eta: 4:59:51 time: 0.2244 data_time: 0.0007 memory: 1833 loss: 1.2731 loss_prob: 0.7160 loss_thr: 0.4334 loss_db: 0.1237 2022/12/19 21:22:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:22:13 - mmengine - INFO - Epoch(train) [223][5/79] lr: 5.8219e-03 eta: 4:59:52 time: 0.3046 data_time: 0.1105 memory: 1833 loss: 1.5180 loss_prob: 0.8722 loss_thr: 0.4960 loss_db: 0.1499 2022/12/19 21:22:14 - mmengine - INFO - Epoch(train) [223][10/79] lr: 5.8219e-03 eta: 4:59:51 time: 0.3277 data_time: 0.1106 memory: 1833 loss: 1.3272 loss_prob: 0.7417 loss_thr: 0.4563 loss_db: 0.1292 2022/12/19 21:22:15 - mmengine - INFO - Epoch(train) [223][15/79] lr: 5.8219e-03 eta: 4:59:50 time: 0.2351 data_time: 0.0009 memory: 1833 loss: 1.3676 loss_prob: 0.7752 loss_thr: 0.4588 loss_db: 0.1336 2022/12/19 21:22:17 - mmengine - INFO - Epoch(train) [223][20/79] lr: 5.8219e-03 eta: 4:59:50 time: 0.2613 data_time: 0.0010 memory: 1833 loss: 1.3009 loss_prob: 0.7212 loss_thr: 0.4538 loss_db: 0.1259 2022/12/19 21:22:18 - mmengine - INFO - Epoch(train) [223][25/79] lr: 5.8219e-03 eta: 4:59:48 time: 0.2459 data_time: 0.0009 memory: 1833 loss: 1.2298 loss_prob: 0.6766 loss_thr: 0.4361 loss_db: 0.1171 2022/12/19 21:22:19 - mmengine - INFO - Epoch(train) [223][30/79] lr: 5.8219e-03 eta: 4:59:48 time: 0.2274 data_time: 0.0008 memory: 1833 loss: 1.2602 loss_prob: 0.7117 loss_thr: 0.4276 loss_db: 0.1209 2022/12/19 21:22:20 - mmengine - INFO - Epoch(train) [223][35/79] lr: 5.8219e-03 eta: 4:59:46 time: 0.2271 data_time: 0.0008 memory: 1833 loss: 1.2277 loss_prob: 0.6890 loss_thr: 0.4178 loss_db: 0.1209 2022/12/19 21:22:21 - mmengine - INFO - Epoch(train) [223][40/79] lr: 5.8219e-03 eta: 4:59:45 time: 0.2173 data_time: 0.0008 memory: 1833 loss: 1.2282 loss_prob: 0.6823 loss_thr: 0.4266 loss_db: 0.1193 2022/12/19 21:22:22 - mmengine - INFO - Epoch(train) [223][45/79] lr: 5.8219e-03 eta: 4:59:43 time: 0.2206 data_time: 0.0009 memory: 1833 loss: 1.1960 loss_prob: 0.6591 loss_thr: 0.4232 loss_db: 0.1137 2022/12/19 21:22:23 - mmengine - INFO - Epoch(train) [223][50/79] lr: 5.8219e-03 eta: 4:59:42 time: 0.2307 data_time: 0.0009 memory: 1833 loss: 1.1900 loss_prob: 0.6562 loss_thr: 0.4200 loss_db: 0.1139 2022/12/19 21:22:24 - mmengine - INFO - Epoch(train) [223][55/79] lr: 5.8219e-03 eta: 4:59:40 time: 0.2284 data_time: 0.0009 memory: 1833 loss: 1.2912 loss_prob: 0.7174 loss_thr: 0.4503 loss_db: 0.1234 2022/12/19 21:22:25 - mmengine - INFO - Epoch(train) [223][60/79] lr: 5.8219e-03 eta: 4:59:38 time: 0.1941 data_time: 0.0007 memory: 1833 loss: 1.6065 loss_prob: 0.9137 loss_thr: 0.5377 loss_db: 0.1551 2022/12/19 21:22:26 - mmengine - INFO - Epoch(train) [223][65/79] lr: 5.8219e-03 eta: 4:59:37 time: 0.2006 data_time: 0.0006 memory: 1833 loss: 1.5202 loss_prob: 0.8613 loss_thr: 0.5107 loss_db: 0.1481 2022/12/19 21:22:27 - mmengine - INFO - Epoch(train) [223][70/79] lr: 5.8219e-03 eta: 4:59:35 time: 0.2175 data_time: 0.0006 memory: 1833 loss: 1.2807 loss_prob: 0.7166 loss_thr: 0.4405 loss_db: 0.1235 2022/12/19 21:22:28 - mmengine - INFO - Epoch(train) [223][75/79] lr: 5.8219e-03 eta: 4:59:33 time: 0.2068 data_time: 0.0006 memory: 1833 loss: 1.2863 loss_prob: 0.7183 loss_thr: 0.4439 loss_db: 0.1241 2022/12/19 21:22:29 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:22:31 - mmengine - INFO - Epoch(train) [224][5/79] lr: 5.8166e-03 eta: 4:59:33 time: 0.2722 data_time: 0.0139 memory: 1833 loss: 1.1943 loss_prob: 0.6609 loss_thr: 0.4192 loss_db: 0.1142 2022/12/19 21:22:32 - mmengine - INFO - Epoch(train) [224][10/79] lr: 5.8166e-03 eta: 4:59:32 time: 0.3086 data_time: 0.0142 memory: 1833 loss: 1.2191 loss_prob: 0.6812 loss_thr: 0.4180 loss_db: 0.1199 2022/12/19 21:22:33 - mmengine - INFO - Epoch(train) [224][15/79] lr: 5.8166e-03 eta: 4:59:31 time: 0.2325 data_time: 0.0011 memory: 1833 loss: 1.2562 loss_prob: 0.7061 loss_thr: 0.4290 loss_db: 0.1211 2022/12/19 21:22:34 - mmengine - INFO - Epoch(train) [224][20/79] lr: 5.8166e-03 eta: 4:59:29 time: 0.2071 data_time: 0.0008 memory: 1833 loss: 1.2847 loss_prob: 0.7089 loss_thr: 0.4572 loss_db: 0.1187 2022/12/19 21:22:35 - mmengine - INFO - Epoch(train) [224][25/79] lr: 5.8166e-03 eta: 4:59:27 time: 0.2063 data_time: 0.0008 memory: 1833 loss: 1.4440 loss_prob: 0.8274 loss_thr: 0.4796 loss_db: 0.1370 2022/12/19 21:22:36 - mmengine - INFO - Epoch(train) [224][30/79] lr: 5.8166e-03 eta: 4:59:26 time: 0.2182 data_time: 0.0008 memory: 1833 loss: 1.4504 loss_prob: 0.8326 loss_thr: 0.4797 loss_db: 0.1381 2022/12/19 21:22:38 - mmengine - INFO - Epoch(train) [224][35/79] lr: 5.8166e-03 eta: 4:59:24 time: 0.2210 data_time: 0.0008 memory: 1833 loss: 1.2529 loss_prob: 0.6845 loss_thr: 0.4486 loss_db: 0.1198 2022/12/19 21:22:39 - mmengine - INFO - Epoch(train) [224][40/79] lr: 5.8166e-03 eta: 4:59:23 time: 0.2268 data_time: 0.0008 memory: 1833 loss: 1.2690 loss_prob: 0.6981 loss_thr: 0.4494 loss_db: 0.1215 2022/12/19 21:22:40 - mmengine - INFO - Epoch(train) [224][45/79] lr: 5.8166e-03 eta: 4:59:23 time: 0.2455 data_time: 0.0009 memory: 1833 loss: 1.2165 loss_prob: 0.6696 loss_thr: 0.4322 loss_db: 0.1147 2022/12/19 21:22:41 - mmengine - INFO - Epoch(train) [224][50/79] lr: 5.8166e-03 eta: 4:59:21 time: 0.2297 data_time: 0.0008 memory: 1833 loss: 1.2285 loss_prob: 0.6851 loss_thr: 0.4269 loss_db: 0.1165 2022/12/19 21:22:42 - mmengine - INFO - Epoch(train) [224][55/79] lr: 5.8166e-03 eta: 4:59:19 time: 0.2121 data_time: 0.0007 memory: 1833 loss: 1.4199 loss_prob: 0.8018 loss_thr: 0.4838 loss_db: 0.1343 2022/12/19 21:22:43 - mmengine - INFO - Epoch(train) [224][60/79] lr: 5.8166e-03 eta: 4:59:18 time: 0.2256 data_time: 0.0006 memory: 1833 loss: 1.4505 loss_prob: 0.8212 loss_thr: 0.4904 loss_db: 0.1390 2022/12/19 21:22:44 - mmengine - INFO - Epoch(train) [224][65/79] lr: 5.8166e-03 eta: 4:59:17 time: 0.2370 data_time: 0.0006 memory: 1833 loss: 1.3796 loss_prob: 0.7809 loss_thr: 0.4643 loss_db: 0.1344 2022/12/19 21:22:46 - mmengine - INFO - Epoch(train) [224][70/79] lr: 5.8166e-03 eta: 4:59:16 time: 0.2254 data_time: 0.0006 memory: 1833 loss: 1.2902 loss_prob: 0.7110 loss_thr: 0.4559 loss_db: 0.1232 2022/12/19 21:22:47 - mmengine - INFO - Epoch(train) [224][75/79] lr: 5.8166e-03 eta: 4:59:14 time: 0.2212 data_time: 0.0006 memory: 1833 loss: 1.3461 loss_prob: 0.7379 loss_thr: 0.4782 loss_db: 0.1301 2022/12/19 21:22:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:22:50 - mmengine - INFO - Epoch(train) [225][5/79] lr: 5.8112e-03 eta: 4:59:15 time: 0.3138 data_time: 0.0245 memory: 1833 loss: 1.0969 loss_prob: 0.5907 loss_thr: 0.4028 loss_db: 0.1034 2022/12/19 21:22:51 - mmengine - INFO - Epoch(train) [225][10/79] lr: 5.8112e-03 eta: 4:59:14 time: 0.3091 data_time: 0.0246 memory: 1833 loss: 1.1660 loss_prob: 0.6389 loss_thr: 0.4178 loss_db: 0.1093 2022/12/19 21:22:52 - mmengine - INFO - Epoch(train) [225][15/79] lr: 5.8112e-03 eta: 4:59:13 time: 0.2269 data_time: 0.0008 memory: 1833 loss: 1.3423 loss_prob: 0.7583 loss_thr: 0.4565 loss_db: 0.1276 2022/12/19 21:22:53 - mmengine - INFO - Epoch(train) [225][20/79] lr: 5.8112e-03 eta: 4:59:11 time: 0.2220 data_time: 0.0008 memory: 1833 loss: 1.2939 loss_prob: 0.7170 loss_thr: 0.4528 loss_db: 0.1240 2022/12/19 21:22:54 - mmengine - INFO - Epoch(train) [225][25/79] lr: 5.8112e-03 eta: 4:59:11 time: 0.2401 data_time: 0.0008 memory: 1833 loss: 1.2530 loss_prob: 0.6854 loss_thr: 0.4453 loss_db: 0.1223 2022/12/19 21:22:55 - mmengine - INFO - Epoch(train) [225][30/79] lr: 5.8112e-03 eta: 4:59:10 time: 0.2424 data_time: 0.0012 memory: 1833 loss: 1.3514 loss_prob: 0.7564 loss_thr: 0.4653 loss_db: 0.1297 2022/12/19 21:22:56 - mmengine - INFO - Epoch(train) [225][35/79] lr: 5.8112e-03 eta: 4:59:08 time: 0.2197 data_time: 0.0011 memory: 1833 loss: 1.4558 loss_prob: 0.8180 loss_thr: 0.4999 loss_db: 0.1379 2022/12/19 21:22:57 - mmengine - INFO - Epoch(train) [225][40/79] lr: 5.8112e-03 eta: 4:59:06 time: 0.2055 data_time: 0.0009 memory: 1833 loss: 1.4224 loss_prob: 0.7959 loss_thr: 0.4882 loss_db: 0.1383 2022/12/19 21:22:58 - mmengine - INFO - Epoch(train) [225][45/79] lr: 5.8112e-03 eta: 4:59:04 time: 0.2061 data_time: 0.0008 memory: 1833 loss: 1.2371 loss_prob: 0.6937 loss_thr: 0.4214 loss_db: 0.1220 2022/12/19 21:23:00 - mmengine - INFO - Epoch(train) [225][50/79] lr: 5.8112e-03 eta: 4:59:03 time: 0.2093 data_time: 0.0008 memory: 1833 loss: 1.3346 loss_prob: 0.7554 loss_thr: 0.4477 loss_db: 0.1316 2022/12/19 21:23:01 - mmengine - INFO - Epoch(train) [225][55/79] lr: 5.8112e-03 eta: 4:59:01 time: 0.2123 data_time: 0.0008 memory: 1833 loss: 1.3421 loss_prob: 0.7479 loss_thr: 0.4633 loss_db: 0.1309 2022/12/19 21:23:02 - mmengine - INFO - Epoch(train) [225][60/79] lr: 5.8112e-03 eta: 4:59:00 time: 0.2209 data_time: 0.0007 memory: 1833 loss: 1.3965 loss_prob: 0.8001 loss_thr: 0.4584 loss_db: 0.1379 2022/12/19 21:23:03 - mmengine - INFO - Epoch(train) [225][65/79] lr: 5.8112e-03 eta: 4:58:58 time: 0.2083 data_time: 0.0006 memory: 1833 loss: 1.5112 loss_prob: 0.8629 loss_thr: 0.5012 loss_db: 0.1470 2022/12/19 21:23:04 - mmengine - INFO - Epoch(train) [225][70/79] lr: 5.8112e-03 eta: 4:58:58 time: 0.2422 data_time: 0.0008 memory: 1833 loss: 1.3802 loss_prob: 0.7594 loss_thr: 0.4884 loss_db: 0.1324 2022/12/19 21:23:05 - mmengine - INFO - Epoch(train) [225][75/79] lr: 5.8112e-03 eta: 4:58:57 time: 0.2627 data_time: 0.0009 memory: 1833 loss: 1.2541 loss_prob: 0.6884 loss_thr: 0.4441 loss_db: 0.1216 2022/12/19 21:23:06 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:23:08 - mmengine - INFO - Epoch(train) [226][5/79] lr: 5.8058e-03 eta: 4:58:58 time: 0.3066 data_time: 0.0284 memory: 1833 loss: 1.3184 loss_prob: 0.7362 loss_thr: 0.4517 loss_db: 0.1306 2022/12/19 21:23:09 - mmengine - INFO - Epoch(train) [226][10/79] lr: 5.8058e-03 eta: 4:58:57 time: 0.3220 data_time: 0.0285 memory: 1833 loss: 1.4586 loss_prob: 0.8203 loss_thr: 0.4963 loss_db: 0.1420 2022/12/19 21:23:11 - mmengine - INFO - Epoch(train) [226][15/79] lr: 5.8058e-03 eta: 4:58:56 time: 0.2405 data_time: 0.0008 memory: 1833 loss: 1.3831 loss_prob: 0.7718 loss_thr: 0.4811 loss_db: 0.1302 2022/12/19 21:23:12 - mmengine - INFO - Epoch(train) [226][20/79] lr: 5.8058e-03 eta: 4:58:55 time: 0.2430 data_time: 0.0009 memory: 1833 loss: 1.3295 loss_prob: 0.7481 loss_thr: 0.4507 loss_db: 0.1307 2022/12/19 21:23:13 - mmengine - INFO - Epoch(train) [226][25/79] lr: 5.8058e-03 eta: 4:58:54 time: 0.2349 data_time: 0.0009 memory: 1833 loss: 1.2369 loss_prob: 0.6887 loss_thr: 0.4255 loss_db: 0.1226 2022/12/19 21:23:14 - mmengine - INFO - Epoch(train) [226][30/79] lr: 5.8058e-03 eta: 4:58:52 time: 0.2249 data_time: 0.0007 memory: 1833 loss: 1.2556 loss_prob: 0.7035 loss_thr: 0.4256 loss_db: 0.1265 2022/12/19 21:23:15 - mmengine - INFO - Epoch(train) [226][35/79] lr: 5.8058e-03 eta: 4:58:50 time: 0.2085 data_time: 0.0007 memory: 1833 loss: 1.3111 loss_prob: 0.7351 loss_thr: 0.4442 loss_db: 0.1317 2022/12/19 21:23:16 - mmengine - INFO - Epoch(train) [226][40/79] lr: 5.8058e-03 eta: 4:58:49 time: 0.2228 data_time: 0.0007 memory: 1833 loss: 1.3675 loss_prob: 0.7555 loss_thr: 0.4806 loss_db: 0.1314 2022/12/19 21:23:17 - mmengine - INFO - Epoch(train) [226][45/79] lr: 5.8058e-03 eta: 4:58:48 time: 0.2442 data_time: 0.0008 memory: 1833 loss: 1.3598 loss_prob: 0.7579 loss_thr: 0.4743 loss_db: 0.1276 2022/12/19 21:23:18 - mmengine - INFO - Epoch(train) [226][50/79] lr: 5.8058e-03 eta: 4:58:47 time: 0.2266 data_time: 0.0007 memory: 1833 loss: 1.2871 loss_prob: 0.7237 loss_thr: 0.4421 loss_db: 0.1213 2022/12/19 21:23:19 - mmengine - INFO - Epoch(train) [226][55/79] lr: 5.8058e-03 eta: 4:58:44 time: 0.1928 data_time: 0.0006 memory: 1833 loss: 1.2867 loss_prob: 0.7233 loss_thr: 0.4387 loss_db: 0.1247 2022/12/19 21:23:20 - mmengine - INFO - Epoch(train) [226][60/79] lr: 5.8058e-03 eta: 4:58:43 time: 0.1910 data_time: 0.0006 memory: 1833 loss: 1.2085 loss_prob: 0.6783 loss_thr: 0.4129 loss_db: 0.1173 2022/12/19 21:23:21 - mmengine - INFO - Epoch(train) [226][65/79] lr: 5.8058e-03 eta: 4:58:41 time: 0.2078 data_time: 0.0006 memory: 1833 loss: 1.2597 loss_prob: 0.7098 loss_thr: 0.4272 loss_db: 0.1227 2022/12/19 21:23:22 - mmengine - INFO - Epoch(train) [226][70/79] lr: 5.8058e-03 eta: 4:58:39 time: 0.2027 data_time: 0.0006 memory: 1833 loss: 1.3977 loss_prob: 0.7943 loss_thr: 0.4639 loss_db: 0.1395 2022/12/19 21:23:23 - mmengine - INFO - Epoch(train) [226][75/79] lr: 5.8058e-03 eta: 4:58:37 time: 0.2051 data_time: 0.0007 memory: 1833 loss: 1.2895 loss_prob: 0.7233 loss_thr: 0.4376 loss_db: 0.1287 2022/12/19 21:23:24 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:23:26 - mmengine - INFO - Epoch(train) [227][5/79] lr: 5.8005e-03 eta: 4:58:38 time: 0.2956 data_time: 0.0328 memory: 1833 loss: 1.2826 loss_prob: 0.7036 loss_thr: 0.4537 loss_db: 0.1252 2022/12/19 21:23:27 - mmengine - INFO - Epoch(train) [227][10/79] lr: 5.8005e-03 eta: 4:58:37 time: 0.3206 data_time: 0.0329 memory: 1833 loss: 1.2317 loss_prob: 0.6864 loss_thr: 0.4248 loss_db: 0.1205 2022/12/19 21:23:29 - mmengine - INFO - Epoch(train) [227][15/79] lr: 5.8005e-03 eta: 4:58:36 time: 0.2344 data_time: 0.0007 memory: 1833 loss: 1.1669 loss_prob: 0.6354 loss_thr: 0.4219 loss_db: 0.1096 2022/12/19 21:23:30 - mmengine - INFO - Epoch(train) [227][20/79] lr: 5.8005e-03 eta: 4:58:34 time: 0.2241 data_time: 0.0007 memory: 1833 loss: 1.2606 loss_prob: 0.6842 loss_thr: 0.4591 loss_db: 0.1172 2022/12/19 21:23:31 - mmengine - INFO - Epoch(train) [227][25/79] lr: 5.8005e-03 eta: 4:58:33 time: 0.2202 data_time: 0.0007 memory: 1833 loss: 1.2727 loss_prob: 0.7013 loss_thr: 0.4516 loss_db: 0.1199 2022/12/19 21:23:32 - mmengine - INFO - Epoch(train) [227][30/79] lr: 5.8005e-03 eta: 4:58:31 time: 0.2222 data_time: 0.0007 memory: 1833 loss: 1.2551 loss_prob: 0.6923 loss_thr: 0.4417 loss_db: 0.1212 2022/12/19 21:23:33 - mmengine - INFO - Epoch(train) [227][35/79] lr: 5.8005e-03 eta: 4:58:31 time: 0.2352 data_time: 0.0009 memory: 1833 loss: 1.3072 loss_prob: 0.7331 loss_thr: 0.4478 loss_db: 0.1263 2022/12/19 21:23:34 - mmengine - INFO - Epoch(train) [227][40/79] lr: 5.8005e-03 eta: 4:58:29 time: 0.2412 data_time: 0.0009 memory: 1833 loss: 1.3139 loss_prob: 0.7326 loss_thr: 0.4583 loss_db: 0.1230 2022/12/19 21:23:35 - mmengine - INFO - Epoch(train) [227][45/79] lr: 5.8005e-03 eta: 4:58:28 time: 0.2187 data_time: 0.0008 memory: 1833 loss: 1.2877 loss_prob: 0.7039 loss_thr: 0.4632 loss_db: 0.1206 2022/12/19 21:23:36 - mmengine - INFO - Epoch(train) [227][50/79] lr: 5.8005e-03 eta: 4:58:26 time: 0.2072 data_time: 0.0008 memory: 1833 loss: 1.1941 loss_prob: 0.6429 loss_thr: 0.4387 loss_db: 0.1125 2022/12/19 21:23:37 - mmengine - INFO - Epoch(train) [227][55/79] lr: 5.8005e-03 eta: 4:58:24 time: 0.2028 data_time: 0.0007 memory: 1833 loss: 1.2766 loss_prob: 0.6955 loss_thr: 0.4593 loss_db: 0.1218 2022/12/19 21:23:38 - mmengine - INFO - Epoch(train) [227][60/79] lr: 5.8005e-03 eta: 4:58:22 time: 0.1999 data_time: 0.0007 memory: 1833 loss: 1.3541 loss_prob: 0.7461 loss_thr: 0.4790 loss_db: 0.1291 2022/12/19 21:23:39 - mmengine - INFO - Epoch(train) [227][65/79] lr: 5.8005e-03 eta: 4:58:20 time: 0.2023 data_time: 0.0007 memory: 1833 loss: 1.4134 loss_prob: 0.7858 loss_thr: 0.4920 loss_db: 0.1356 2022/12/19 21:23:40 - mmengine - INFO - Epoch(train) [227][70/79] lr: 5.8005e-03 eta: 4:58:19 time: 0.2096 data_time: 0.0007 memory: 1833 loss: 1.3227 loss_prob: 0.7470 loss_thr: 0.4488 loss_db: 0.1269 2022/12/19 21:23:41 - mmengine - INFO - Epoch(train) [227][75/79] lr: 5.8005e-03 eta: 4:58:17 time: 0.2042 data_time: 0.0007 memory: 1833 loss: 1.2714 loss_prob: 0.7239 loss_thr: 0.4247 loss_db: 0.1229 2022/12/19 21:23:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:23:44 - mmengine - INFO - Epoch(train) [228][5/79] lr: 5.7951e-03 eta: 4:58:19 time: 0.3175 data_time: 0.0329 memory: 1833 loss: 1.3018 loss_prob: 0.7330 loss_thr: 0.4437 loss_db: 0.1251 2022/12/19 21:23:45 - mmengine - INFO - Epoch(train) [228][10/79] lr: 5.7951e-03 eta: 4:58:17 time: 0.3132 data_time: 0.0329 memory: 1833 loss: 1.3172 loss_prob: 0.7227 loss_thr: 0.4712 loss_db: 0.1232 2022/12/19 21:23:46 - mmengine - INFO - Epoch(train) [228][15/79] lr: 5.7951e-03 eta: 4:58:15 time: 0.1961 data_time: 0.0007 memory: 1833 loss: 1.2714 loss_prob: 0.6963 loss_thr: 0.4542 loss_db: 0.1210 2022/12/19 21:23:48 - mmengine - INFO - Epoch(train) [228][20/79] lr: 5.7951e-03 eta: 4:58:14 time: 0.2222 data_time: 0.0008 memory: 1833 loss: 1.3199 loss_prob: 0.7365 loss_thr: 0.4581 loss_db: 0.1253 2022/12/19 21:23:49 - mmengine - INFO - Epoch(train) [228][25/79] lr: 5.7951e-03 eta: 4:58:14 time: 0.2575 data_time: 0.0009 memory: 1833 loss: 1.2763 loss_prob: 0.7037 loss_thr: 0.4539 loss_db: 0.1188 2022/12/19 21:23:50 - mmengine - INFO - Epoch(train) [228][30/79] lr: 5.7951e-03 eta: 4:58:12 time: 0.2338 data_time: 0.0009 memory: 1833 loss: 1.3063 loss_prob: 0.7242 loss_thr: 0.4567 loss_db: 0.1253 2022/12/19 21:23:51 - mmengine - INFO - Epoch(train) [228][35/79] lr: 5.7951e-03 eta: 4:58:10 time: 0.2095 data_time: 0.0009 memory: 1833 loss: 1.3520 loss_prob: 0.7678 loss_thr: 0.4493 loss_db: 0.1349 2022/12/19 21:23:52 - mmengine - INFO - Epoch(train) [228][40/79] lr: 5.7951e-03 eta: 4:58:09 time: 0.2121 data_time: 0.0008 memory: 1833 loss: 1.2667 loss_prob: 0.7090 loss_thr: 0.4334 loss_db: 0.1243 2022/12/19 21:23:53 - mmengine - INFO - Epoch(train) [228][45/79] lr: 5.7951e-03 eta: 4:58:06 time: 0.1998 data_time: 0.0008 memory: 1833 loss: 1.1733 loss_prob: 0.6370 loss_thr: 0.4240 loss_db: 0.1123 2022/12/19 21:23:54 - mmengine - INFO - Epoch(train) [228][50/79] lr: 5.7951e-03 eta: 4:58:05 time: 0.1936 data_time: 0.0008 memory: 1833 loss: 1.1927 loss_prob: 0.6509 loss_thr: 0.4255 loss_db: 0.1163 2022/12/19 21:23:55 - mmengine - INFO - Epoch(train) [228][55/79] lr: 5.7951e-03 eta: 4:58:03 time: 0.1998 data_time: 0.0007 memory: 1833 loss: 1.2414 loss_prob: 0.6796 loss_thr: 0.4438 loss_db: 0.1180 2022/12/19 21:23:56 - mmengine - INFO - Epoch(train) [228][60/79] lr: 5.7951e-03 eta: 4:58:01 time: 0.2066 data_time: 0.0008 memory: 1833 loss: 1.3869 loss_prob: 0.7818 loss_thr: 0.4772 loss_db: 0.1279 2022/12/19 21:23:57 - mmengine - INFO - Epoch(train) [228][65/79] lr: 5.7951e-03 eta: 4:58:00 time: 0.2226 data_time: 0.0007 memory: 1833 loss: 1.3616 loss_prob: 0.7660 loss_thr: 0.4693 loss_db: 0.1262 2022/12/19 21:23:58 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:23:58 - mmengine - INFO - Epoch(train) [228][70/79] lr: 5.7951e-03 eta: 4:57:59 time: 0.2373 data_time: 0.0007 memory: 1833 loss: 1.1121 loss_prob: 0.6011 loss_thr: 0.4059 loss_db: 0.1051 2022/12/19 21:23:59 - mmengine - INFO - Epoch(train) [228][75/79] lr: 5.7951e-03 eta: 4:57:57 time: 0.2204 data_time: 0.0007 memory: 1833 loss: 1.1636 loss_prob: 0.6329 loss_thr: 0.4205 loss_db: 0.1102 2022/12/19 21:24:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:24:02 - mmengine - INFO - Epoch(train) [229][5/79] lr: 5.7897e-03 eta: 4:57:58 time: 0.2914 data_time: 0.0654 memory: 1833 loss: 1.2507 loss_prob: 0.7000 loss_thr: 0.4290 loss_db: 0.1218 2022/12/19 21:24:03 - mmengine - INFO - Epoch(train) [229][10/79] lr: 5.7897e-03 eta: 4:57:56 time: 0.3108 data_time: 0.0655 memory: 1833 loss: 1.2867 loss_prob: 0.7213 loss_thr: 0.4402 loss_db: 0.1252 2022/12/19 21:24:05 - mmengine - INFO - Epoch(train) [229][15/79] lr: 5.7897e-03 eta: 4:57:56 time: 0.2399 data_time: 0.0009 memory: 1833 loss: 1.3153 loss_prob: 0.7264 loss_thr: 0.4613 loss_db: 0.1276 2022/12/19 21:24:06 - mmengine - INFO - Epoch(train) [229][20/79] lr: 5.7897e-03 eta: 4:57:55 time: 0.2600 data_time: 0.0010 memory: 1833 loss: 1.2072 loss_prob: 0.6679 loss_thr: 0.4247 loss_db: 0.1146 2022/12/19 21:24:07 - mmengine - INFO - Epoch(train) [229][25/79] lr: 5.7897e-03 eta: 4:57:54 time: 0.2568 data_time: 0.0009 memory: 1833 loss: 1.3757 loss_prob: 0.7896 loss_thr: 0.4527 loss_db: 0.1333 2022/12/19 21:24:08 - mmengine - INFO - Epoch(train) [229][30/79] lr: 5.7897e-03 eta: 4:57:53 time: 0.2323 data_time: 0.0008 memory: 1833 loss: 1.4874 loss_prob: 0.8566 loss_thr: 0.4854 loss_db: 0.1454 2022/12/19 21:24:09 - mmengine - INFO - Epoch(train) [229][35/79] lr: 5.7897e-03 eta: 4:57:52 time: 0.2240 data_time: 0.0008 memory: 1833 loss: 1.3825 loss_prob: 0.7782 loss_thr: 0.4699 loss_db: 0.1344 2022/12/19 21:24:10 - mmengine - INFO - Epoch(train) [229][40/79] lr: 5.7897e-03 eta: 4:57:49 time: 0.2053 data_time: 0.0008 memory: 1833 loss: 1.4118 loss_prob: 0.7933 loss_thr: 0.4804 loss_db: 0.1380 2022/12/19 21:24:11 - mmengine - INFO - Epoch(train) [229][45/79] lr: 5.7897e-03 eta: 4:57:48 time: 0.2074 data_time: 0.0008 memory: 1833 loss: 1.3217 loss_prob: 0.7361 loss_thr: 0.4575 loss_db: 0.1281 2022/12/19 21:24:13 - mmengine - INFO - Epoch(train) [229][50/79] lr: 5.7897e-03 eta: 4:57:47 time: 0.2372 data_time: 0.0008 memory: 1833 loss: 1.1647 loss_prob: 0.6394 loss_thr: 0.4126 loss_db: 0.1127 2022/12/19 21:24:14 - mmengine - INFO - Epoch(train) [229][55/79] lr: 5.7897e-03 eta: 4:57:46 time: 0.2427 data_time: 0.0008 memory: 1833 loss: 1.2143 loss_prob: 0.6818 loss_thr: 0.4165 loss_db: 0.1160 2022/12/19 21:24:15 - mmengine - INFO - Epoch(train) [229][60/79] lr: 5.7897e-03 eta: 4:57:44 time: 0.2205 data_time: 0.0007 memory: 1833 loss: 1.2831 loss_prob: 0.7161 loss_thr: 0.4443 loss_db: 0.1227 2022/12/19 21:24:16 - mmengine - INFO - Epoch(train) [229][65/79] lr: 5.7897e-03 eta: 4:57:43 time: 0.2109 data_time: 0.0007 memory: 1833 loss: 1.2987 loss_prob: 0.7200 loss_thr: 0.4538 loss_db: 0.1249 2022/12/19 21:24:17 - mmengine - INFO - Epoch(train) [229][70/79] lr: 5.7897e-03 eta: 4:57:41 time: 0.2090 data_time: 0.0007 memory: 1833 loss: 1.1879 loss_prob: 0.6502 loss_thr: 0.4268 loss_db: 0.1108 2022/12/19 21:24:18 - mmengine - INFO - Epoch(train) [229][75/79] lr: 5.7897e-03 eta: 4:57:41 time: 0.2330 data_time: 0.0007 memory: 1833 loss: 1.1210 loss_prob: 0.6002 loss_thr: 0.4156 loss_db: 0.1052 2022/12/19 21:24:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:24:21 - mmengine - INFO - Epoch(train) [230][5/79] lr: 5.7844e-03 eta: 4:57:42 time: 0.3181 data_time: 0.0613 memory: 1833 loss: 1.2482 loss_prob: 0.7039 loss_thr: 0.4196 loss_db: 0.1248 2022/12/19 21:24:23 - mmengine - INFO - Epoch(train) [230][10/79] lr: 5.7844e-03 eta: 4:57:42 time: 0.3559 data_time: 0.0614 memory: 1833 loss: 1.2512 loss_prob: 0.7086 loss_thr: 0.4210 loss_db: 0.1217 2022/12/19 21:24:24 - mmengine - INFO - Epoch(train) [230][15/79] lr: 5.7844e-03 eta: 4:57:40 time: 0.2432 data_time: 0.0008 memory: 1833 loss: 1.3686 loss_prob: 0.7871 loss_thr: 0.4520 loss_db: 0.1295 2022/12/19 21:24:25 - mmengine - INFO - Epoch(train) [230][20/79] lr: 5.7844e-03 eta: 4:57:39 time: 0.2170 data_time: 0.0008 memory: 1833 loss: 1.4282 loss_prob: 0.8312 loss_thr: 0.4599 loss_db: 0.1371 2022/12/19 21:24:26 - mmengine - INFO - Epoch(train) [230][25/79] lr: 5.7844e-03 eta: 4:57:37 time: 0.2030 data_time: 0.0008 memory: 1833 loss: 1.3685 loss_prob: 0.7854 loss_thr: 0.4483 loss_db: 0.1348 2022/12/19 21:24:27 - mmengine - INFO - Epoch(train) [230][30/79] lr: 5.7844e-03 eta: 4:57:35 time: 0.1933 data_time: 0.0008 memory: 1833 loss: 1.3033 loss_prob: 0.7331 loss_thr: 0.4412 loss_db: 0.1291 2022/12/19 21:24:28 - mmengine - INFO - Epoch(train) [230][35/79] lr: 5.7844e-03 eta: 4:57:33 time: 0.1995 data_time: 0.0008 memory: 1833 loss: 1.2152 loss_prob: 0.6638 loss_thr: 0.4376 loss_db: 0.1138 2022/12/19 21:24:29 - mmengine - INFO - Epoch(train) [230][40/79] lr: 5.7844e-03 eta: 4:57:32 time: 0.2204 data_time: 0.0008 memory: 1833 loss: 1.1710 loss_prob: 0.6263 loss_thr: 0.4361 loss_db: 0.1086 2022/12/19 21:24:30 - mmengine - INFO - Epoch(train) [230][45/79] lr: 5.7844e-03 eta: 4:57:30 time: 0.2162 data_time: 0.0008 memory: 1833 loss: 1.1582 loss_prob: 0.6250 loss_thr: 0.4232 loss_db: 0.1100 2022/12/19 21:24:31 - mmengine - INFO - Epoch(train) [230][50/79] lr: 5.7844e-03 eta: 4:57:28 time: 0.1998 data_time: 0.0008 memory: 1833 loss: 1.2404 loss_prob: 0.6795 loss_thr: 0.4431 loss_db: 0.1178 2022/12/19 21:24:32 - mmengine - INFO - Epoch(train) [230][55/79] lr: 5.7844e-03 eta: 4:57:26 time: 0.1968 data_time: 0.0007 memory: 1833 loss: 1.2260 loss_prob: 0.6756 loss_thr: 0.4353 loss_db: 0.1151 2022/12/19 21:24:33 - mmengine - INFO - Epoch(train) [230][60/79] lr: 5.7844e-03 eta: 4:57:24 time: 0.1990 data_time: 0.0007 memory: 1833 loss: 1.2357 loss_prob: 0.6803 loss_thr: 0.4382 loss_db: 0.1172 2022/12/19 21:24:34 - mmengine - INFO - Epoch(train) [230][65/79] lr: 5.7844e-03 eta: 4:57:23 time: 0.2032 data_time: 0.0007 memory: 1833 loss: 1.2839 loss_prob: 0.7114 loss_thr: 0.4479 loss_db: 0.1246 2022/12/19 21:24:35 - mmengine - INFO - Epoch(train) [230][70/79] lr: 5.7844e-03 eta: 4:57:22 time: 0.2245 data_time: 0.0007 memory: 1833 loss: 1.2059 loss_prob: 0.6714 loss_thr: 0.4162 loss_db: 0.1183 2022/12/19 21:24:37 - mmengine - INFO - Epoch(train) [230][75/79] lr: 5.7844e-03 eta: 4:57:21 time: 0.2596 data_time: 0.0009 memory: 1833 loss: 1.2919 loss_prob: 0.7234 loss_thr: 0.4400 loss_db: 0.1285 2022/12/19 21:24:37 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:24:39 - mmengine - INFO - Epoch(train) [231][5/79] lr: 5.7790e-03 eta: 4:57:23 time: 0.3110 data_time: 0.0850 memory: 1833 loss: 1.2834 loss_prob: 0.7158 loss_thr: 0.4434 loss_db: 0.1242 2022/12/19 21:24:41 - mmengine - INFO - Epoch(train) [231][10/79] lr: 5.7790e-03 eta: 4:57:22 time: 0.3376 data_time: 0.0850 memory: 1833 loss: 1.2476 loss_prob: 0.6894 loss_thr: 0.4376 loss_db: 0.1206 2022/12/19 21:24:42 - mmengine - INFO - Epoch(train) [231][15/79] lr: 5.7790e-03 eta: 4:57:20 time: 0.2325 data_time: 0.0008 memory: 1833 loss: 1.3977 loss_prob: 0.7907 loss_thr: 0.4705 loss_db: 0.1365 2022/12/19 21:24:43 - mmengine - INFO - Epoch(train) [231][20/79] lr: 5.7790e-03 eta: 4:57:19 time: 0.2214 data_time: 0.0008 memory: 1833 loss: 1.3387 loss_prob: 0.7622 loss_thr: 0.4457 loss_db: 0.1308 2022/12/19 21:24:44 - mmengine - INFO - Epoch(train) [231][25/79] lr: 5.7790e-03 eta: 4:57:17 time: 0.2025 data_time: 0.0008 memory: 1833 loss: 1.4373 loss_prob: 0.8329 loss_thr: 0.4647 loss_db: 0.1397 2022/12/19 21:24:45 - mmengine - INFO - Epoch(train) [231][30/79] lr: 5.7790e-03 eta: 4:57:15 time: 0.2006 data_time: 0.0008 memory: 1833 loss: 1.4917 loss_prob: 0.8587 loss_thr: 0.4890 loss_db: 0.1440 2022/12/19 21:24:46 - mmengine - INFO - Epoch(train) [231][35/79] lr: 5.7790e-03 eta: 4:57:14 time: 0.2159 data_time: 0.0008 memory: 1833 loss: 1.2719 loss_prob: 0.6933 loss_thr: 0.4581 loss_db: 0.1205 2022/12/19 21:24:47 - mmengine - INFO - Epoch(train) [231][40/79] lr: 5.7790e-03 eta: 4:57:12 time: 0.2186 data_time: 0.0008 memory: 1833 loss: 1.2962 loss_prob: 0.7050 loss_thr: 0.4661 loss_db: 0.1251 2022/12/19 21:24:48 - mmengine - INFO - Epoch(train) [231][45/79] lr: 5.7790e-03 eta: 4:57:11 time: 0.2269 data_time: 0.0008 memory: 1833 loss: 1.2721 loss_prob: 0.7023 loss_thr: 0.4489 loss_db: 0.1209 2022/12/19 21:24:49 - mmengine - INFO - Epoch(train) [231][50/79] lr: 5.7790e-03 eta: 4:57:09 time: 0.2155 data_time: 0.0008 memory: 1833 loss: 1.2559 loss_prob: 0.6909 loss_thr: 0.4488 loss_db: 0.1162 2022/12/19 21:24:50 - mmengine - INFO - Epoch(train) [231][55/79] lr: 5.7790e-03 eta: 4:57:08 time: 0.2043 data_time: 0.0007 memory: 1833 loss: 1.3085 loss_prob: 0.7257 loss_thr: 0.4586 loss_db: 0.1242 2022/12/19 21:24:51 - mmengine - INFO - Epoch(train) [231][60/79] lr: 5.7790e-03 eta: 4:57:06 time: 0.2069 data_time: 0.0007 memory: 1833 loss: 1.2691 loss_prob: 0.7120 loss_thr: 0.4345 loss_db: 0.1226 2022/12/19 21:24:52 - mmengine - INFO - Epoch(train) [231][65/79] lr: 5.7790e-03 eta: 4:57:05 time: 0.2155 data_time: 0.0007 memory: 1833 loss: 1.2921 loss_prob: 0.7189 loss_thr: 0.4485 loss_db: 0.1247 2022/12/19 21:24:53 - mmengine - INFO - Epoch(train) [231][70/79] lr: 5.7790e-03 eta: 4:57:03 time: 0.2157 data_time: 0.0008 memory: 1833 loss: 1.3646 loss_prob: 0.7737 loss_thr: 0.4578 loss_db: 0.1332 2022/12/19 21:24:55 - mmengine - INFO - Epoch(train) [231][75/79] lr: 5.7790e-03 eta: 4:57:01 time: 0.2126 data_time: 0.0008 memory: 1833 loss: 1.2545 loss_prob: 0.7050 loss_thr: 0.4276 loss_db: 0.1218 2022/12/19 21:24:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:24:57 - mmengine - INFO - Epoch(train) [232][5/79] lr: 5.7736e-03 eta: 4:57:01 time: 0.2773 data_time: 0.0628 memory: 1833 loss: 1.3779 loss_prob: 0.7686 loss_thr: 0.4789 loss_db: 0.1304 2022/12/19 21:24:58 - mmengine - INFO - Epoch(train) [232][10/79] lr: 5.7736e-03 eta: 4:57:01 time: 0.3013 data_time: 0.0629 memory: 1833 loss: 1.2643 loss_prob: 0.7008 loss_thr: 0.4427 loss_db: 0.1207 2022/12/19 21:25:00 - mmengine - INFO - Epoch(train) [232][15/79] lr: 5.7736e-03 eta: 4:57:01 time: 0.2785 data_time: 0.0008 memory: 1833 loss: 1.2552 loss_prob: 0.6894 loss_thr: 0.4476 loss_db: 0.1182 2022/12/19 21:25:01 - mmengine - INFO - Epoch(train) [232][20/79] lr: 5.7736e-03 eta: 4:57:00 time: 0.2656 data_time: 0.0008 memory: 1833 loss: 1.2231 loss_prob: 0.6689 loss_thr: 0.4377 loss_db: 0.1165 2022/12/19 21:25:02 - mmengine - INFO - Epoch(train) [232][25/79] lr: 5.7736e-03 eta: 4:56:58 time: 0.2309 data_time: 0.0008 memory: 1833 loss: 1.1188 loss_prob: 0.5956 loss_thr: 0.4171 loss_db: 0.1062 2022/12/19 21:25:03 - mmengine - INFO - Epoch(train) [232][30/79] lr: 5.7736e-03 eta: 4:56:57 time: 0.2223 data_time: 0.0008 memory: 1833 loss: 1.1223 loss_prob: 0.5986 loss_thr: 0.4198 loss_db: 0.1039 2022/12/19 21:25:04 - mmengine - INFO - Epoch(train) [232][35/79] lr: 5.7736e-03 eta: 4:56:56 time: 0.2225 data_time: 0.0007 memory: 1833 loss: 1.2370 loss_prob: 0.6794 loss_thr: 0.4417 loss_db: 0.1159 2022/12/19 21:25:05 - mmengine - INFO - Epoch(train) [232][40/79] lr: 5.7736e-03 eta: 4:56:54 time: 0.2075 data_time: 0.0007 memory: 1833 loss: 1.2316 loss_prob: 0.6776 loss_thr: 0.4359 loss_db: 0.1180 2022/12/19 21:25:06 - mmengine - INFO - Epoch(train) [232][45/79] lr: 5.7736e-03 eta: 4:56:52 time: 0.2045 data_time: 0.0007 memory: 1833 loss: 1.2662 loss_prob: 0.7046 loss_thr: 0.4388 loss_db: 0.1228 2022/12/19 21:25:08 - mmengine - INFO - Epoch(train) [232][50/79] lr: 5.7736e-03 eta: 4:56:51 time: 0.2232 data_time: 0.0007 memory: 1833 loss: 1.3145 loss_prob: 0.7358 loss_thr: 0.4493 loss_db: 0.1294 2022/12/19 21:25:09 - mmengine - INFO - Epoch(train) [232][55/79] lr: 5.7736e-03 eta: 4:56:51 time: 0.2542 data_time: 0.0007 memory: 1833 loss: 1.1394 loss_prob: 0.6225 loss_thr: 0.4069 loss_db: 0.1100 2022/12/19 21:25:10 - mmengine - INFO - Epoch(train) [232][60/79] lr: 5.7736e-03 eta: 4:56:49 time: 0.2428 data_time: 0.0007 memory: 1833 loss: 1.2046 loss_prob: 0.6613 loss_thr: 0.4283 loss_db: 0.1150 2022/12/19 21:25:11 - mmengine - INFO - Epoch(train) [232][65/79] lr: 5.7736e-03 eta: 4:56:48 time: 0.2173 data_time: 0.0007 memory: 1833 loss: 1.3276 loss_prob: 0.7455 loss_thr: 0.4554 loss_db: 0.1267 2022/12/19 21:25:12 - mmengine - INFO - Epoch(train) [232][70/79] lr: 5.7736e-03 eta: 4:56:46 time: 0.2128 data_time: 0.0007 memory: 1833 loss: 1.2647 loss_prob: 0.7064 loss_thr: 0.4384 loss_db: 0.1199 2022/12/19 21:25:13 - mmengine - INFO - Epoch(train) [232][75/79] lr: 5.7736e-03 eta: 4:56:44 time: 0.2080 data_time: 0.0007 memory: 1833 loss: 1.2184 loss_prob: 0.6707 loss_thr: 0.4324 loss_db: 0.1153 2022/12/19 21:25:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:25:17 - mmengine - INFO - Epoch(train) [233][5/79] lr: 5.7683e-03 eta: 4:56:47 time: 0.3501 data_time: 0.0871 memory: 1833 loss: 1.1460 loss_prob: 0.6196 loss_thr: 0.4189 loss_db: 0.1075 2022/12/19 21:25:18 - mmengine - INFO - Epoch(train) [233][10/79] lr: 5.7683e-03 eta: 4:56:46 time: 0.3734 data_time: 0.0871 memory: 1833 loss: 1.1830 loss_prob: 0.6444 loss_thr: 0.4264 loss_db: 0.1122 2022/12/19 21:25:19 - mmengine - INFO - Epoch(train) [233][15/79] lr: 5.7683e-03 eta: 4:56:45 time: 0.2229 data_time: 0.0008 memory: 1833 loss: 1.1632 loss_prob: 0.6319 loss_thr: 0.4211 loss_db: 0.1102 2022/12/19 21:25:20 - mmengine - INFO - Epoch(train) [233][20/79] lr: 5.7683e-03 eta: 4:56:43 time: 0.2249 data_time: 0.0008 memory: 1833 loss: 1.2158 loss_prob: 0.6655 loss_thr: 0.4346 loss_db: 0.1157 2022/12/19 21:25:21 - mmengine - INFO - Epoch(train) [233][25/79] lr: 5.7683e-03 eta: 4:56:42 time: 0.2163 data_time: 0.0008 memory: 1833 loss: 1.2584 loss_prob: 0.6999 loss_thr: 0.4374 loss_db: 0.1212 2022/12/19 21:25:22 - mmengine - INFO - Epoch(train) [233][30/79] lr: 5.7683e-03 eta: 4:56:41 time: 0.2308 data_time: 0.0008 memory: 1833 loss: 1.2483 loss_prob: 0.7007 loss_thr: 0.4264 loss_db: 0.1213 2022/12/19 21:25:23 - mmengine - INFO - Epoch(train) [233][35/79] lr: 5.7683e-03 eta: 4:56:39 time: 0.2398 data_time: 0.0007 memory: 1833 loss: 1.1346 loss_prob: 0.6256 loss_thr: 0.4001 loss_db: 0.1089 2022/12/19 21:25:25 - mmengine - INFO - Epoch(train) [233][40/79] lr: 5.7683e-03 eta: 4:56:40 time: 0.2629 data_time: 0.0008 memory: 1833 loss: 1.1060 loss_prob: 0.5939 loss_thr: 0.4077 loss_db: 0.1043 2022/12/19 21:25:26 - mmengine - INFO - Epoch(train) [233][45/79] lr: 5.7683e-03 eta: 4:56:38 time: 0.2451 data_time: 0.0010 memory: 1833 loss: 1.1573 loss_prob: 0.6368 loss_thr: 0.4103 loss_db: 0.1102 2022/12/19 21:25:27 - mmengine - INFO - Epoch(train) [233][50/79] lr: 5.7683e-03 eta: 4:56:36 time: 0.2097 data_time: 0.0010 memory: 1833 loss: 1.2620 loss_prob: 0.7122 loss_thr: 0.4277 loss_db: 0.1222 2022/12/19 21:25:28 - mmengine - INFO - Epoch(train) [233][55/79] lr: 5.7683e-03 eta: 4:56:35 time: 0.2237 data_time: 0.0007 memory: 1833 loss: 1.5374 loss_prob: 0.9019 loss_thr: 0.4895 loss_db: 0.1461 2022/12/19 21:25:29 - mmengine - INFO - Epoch(train) [233][60/79] lr: 5.7683e-03 eta: 4:56:33 time: 0.2191 data_time: 0.0007 memory: 1833 loss: 1.5799 loss_prob: 0.9368 loss_thr: 0.4901 loss_db: 0.1530 2022/12/19 21:25:30 - mmengine - INFO - Epoch(train) [233][65/79] lr: 5.7683e-03 eta: 4:56:32 time: 0.2177 data_time: 0.0007 memory: 1833 loss: 1.3796 loss_prob: 0.7856 loss_thr: 0.4582 loss_db: 0.1357 2022/12/19 21:25:31 - mmengine - INFO - Epoch(train) [233][70/79] lr: 5.7683e-03 eta: 4:56:30 time: 0.2121 data_time: 0.0007 memory: 1833 loss: 1.1886 loss_prob: 0.6550 loss_thr: 0.4208 loss_db: 0.1128 2022/12/19 21:25:32 - mmengine - INFO - Epoch(train) [233][75/79] lr: 5.7683e-03 eta: 4:56:29 time: 0.2097 data_time: 0.0008 memory: 1833 loss: 1.2113 loss_prob: 0.6729 loss_thr: 0.4222 loss_db: 0.1163 2022/12/19 21:25:33 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:25:35 - mmengine - INFO - Epoch(train) [234][5/79] lr: 5.7629e-03 eta: 4:56:30 time: 0.3041 data_time: 0.0224 memory: 1833 loss: 1.3107 loss_prob: 0.7308 loss_thr: 0.4554 loss_db: 0.1246 2022/12/19 21:25:36 - mmengine - INFO - Epoch(train) [234][10/79] lr: 5.7629e-03 eta: 4:56:29 time: 0.3283 data_time: 0.0225 memory: 1833 loss: 1.2240 loss_prob: 0.6660 loss_thr: 0.4431 loss_db: 0.1149 2022/12/19 21:25:37 - mmengine - INFO - Epoch(train) [234][15/79] lr: 5.7629e-03 eta: 4:56:27 time: 0.2215 data_time: 0.0008 memory: 1833 loss: 1.2344 loss_prob: 0.6763 loss_thr: 0.4395 loss_db: 0.1186 2022/12/19 21:25:39 - mmengine - INFO - Epoch(train) [234][20/79] lr: 5.7629e-03 eta: 4:56:26 time: 0.2216 data_time: 0.0007 memory: 1833 loss: 1.3400 loss_prob: 0.7643 loss_thr: 0.4455 loss_db: 0.1302 2022/12/19 21:25:40 - mmengine - INFO - Epoch(train) [234][25/79] lr: 5.7629e-03 eta: 4:56:25 time: 0.2376 data_time: 0.0008 memory: 1833 loss: 1.4243 loss_prob: 0.8102 loss_thr: 0.4802 loss_db: 0.1339 2022/12/19 21:25:41 - mmengine - INFO - Epoch(train) [234][30/79] lr: 5.7629e-03 eta: 4:56:25 time: 0.2662 data_time: 0.0010 memory: 1833 loss: 1.3916 loss_prob: 0.7820 loss_thr: 0.4762 loss_db: 0.1334 2022/12/19 21:25:42 - mmengine - INFO - Epoch(train) [234][35/79] lr: 5.7629e-03 eta: 4:56:23 time: 0.2574 data_time: 0.0010 memory: 1833 loss: 1.2963 loss_prob: 0.7156 loss_thr: 0.4563 loss_db: 0.1243 2022/12/19 21:25:43 - mmengine - INFO - Epoch(train) [234][40/79] lr: 5.7629e-03 eta: 4:56:22 time: 0.2180 data_time: 0.0008 memory: 1833 loss: 1.2165 loss_prob: 0.6698 loss_thr: 0.4317 loss_db: 0.1150 2022/12/19 21:25:44 - mmengine - INFO - Epoch(train) [234][45/79] lr: 5.7629e-03 eta: 4:56:20 time: 0.2083 data_time: 0.0008 memory: 1833 loss: 1.1808 loss_prob: 0.6526 loss_thr: 0.4157 loss_db: 0.1124 2022/12/19 21:25:45 - mmengine - INFO - Epoch(train) [234][50/79] lr: 5.7629e-03 eta: 4:56:18 time: 0.2008 data_time: 0.0008 memory: 1833 loss: 1.2532 loss_prob: 0.6970 loss_thr: 0.4359 loss_db: 0.1204 2022/12/19 21:25:46 - mmengine - INFO - Epoch(train) [234][55/79] lr: 5.7629e-03 eta: 4:56:16 time: 0.1932 data_time: 0.0008 memory: 1833 loss: 1.2765 loss_prob: 0.7277 loss_thr: 0.4257 loss_db: 0.1231 2022/12/19 21:25:47 - mmengine - INFO - Epoch(train) [234][60/79] lr: 5.7629e-03 eta: 4:56:15 time: 0.2036 data_time: 0.0007 memory: 1833 loss: 1.3364 loss_prob: 0.7593 loss_thr: 0.4454 loss_db: 0.1317 2022/12/19 21:25:49 - mmengine - INFO - Epoch(train) [234][65/79] lr: 5.7629e-03 eta: 4:56:13 time: 0.2217 data_time: 0.0008 memory: 1833 loss: 1.2840 loss_prob: 0.7131 loss_thr: 0.4459 loss_db: 0.1251 2022/12/19 21:25:50 - mmengine - INFO - Epoch(train) [234][70/79] lr: 5.7629e-03 eta: 4:56:12 time: 0.2194 data_time: 0.0008 memory: 1833 loss: 1.2018 loss_prob: 0.6571 loss_thr: 0.4294 loss_db: 0.1152 2022/12/19 21:25:51 - mmengine - INFO - Epoch(train) [234][75/79] lr: 5.7629e-03 eta: 4:56:10 time: 0.2079 data_time: 0.0007 memory: 1833 loss: 1.2963 loss_prob: 0.7258 loss_thr: 0.4451 loss_db: 0.1254 2022/12/19 21:25:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:25:53 - mmengine - INFO - Epoch(train) [235][5/79] lr: 5.7575e-03 eta: 4:56:11 time: 0.2920 data_time: 0.0327 memory: 1833 loss: 1.2355 loss_prob: 0.6822 loss_thr: 0.4341 loss_db: 0.1192 2022/12/19 21:25:55 - mmengine - INFO - Epoch(train) [235][10/79] lr: 5.7575e-03 eta: 4:56:09 time: 0.3172 data_time: 0.0327 memory: 1833 loss: 1.3479 loss_prob: 0.7513 loss_thr: 0.4668 loss_db: 0.1298 2022/12/19 21:25:56 - mmengine - INFO - Epoch(train) [235][15/79] lr: 5.7575e-03 eta: 4:56:08 time: 0.2220 data_time: 0.0008 memory: 1833 loss: 1.4047 loss_prob: 0.7916 loss_thr: 0.4799 loss_db: 0.1332 2022/12/19 21:25:57 - mmengine - INFO - Epoch(train) [235][20/79] lr: 5.7575e-03 eta: 4:56:07 time: 0.2235 data_time: 0.0008 memory: 1833 loss: 1.2054 loss_prob: 0.6708 loss_thr: 0.4208 loss_db: 0.1137 2022/12/19 21:25:58 - mmengine - INFO - Epoch(train) [235][25/79] lr: 5.7575e-03 eta: 4:56:07 time: 0.2677 data_time: 0.0010 memory: 1833 loss: 1.0844 loss_prob: 0.5801 loss_thr: 0.4017 loss_db: 0.1026 2022/12/19 21:26:00 - mmengine - INFO - Epoch(train) [235][30/79] lr: 5.7575e-03 eta: 4:56:06 time: 0.2715 data_time: 0.0010 memory: 1833 loss: 1.1995 loss_prob: 0.6485 loss_thr: 0.4353 loss_db: 0.1157 2022/12/19 21:26:01 - mmengine - INFO - Epoch(train) [235][35/79] lr: 5.7575e-03 eta: 4:56:04 time: 0.2276 data_time: 0.0008 memory: 1833 loss: 1.2933 loss_prob: 0.7124 loss_thr: 0.4574 loss_db: 0.1236 2022/12/19 21:26:01 - mmengine - INFO - Epoch(train) [235][40/79] lr: 5.7575e-03 eta: 4:56:02 time: 0.1903 data_time: 0.0008 memory: 1833 loss: 1.3326 loss_prob: 0.7274 loss_thr: 0.4783 loss_db: 0.1269 2022/12/19 21:26:03 - mmengine - INFO - Epoch(train) [235][45/79] lr: 5.7575e-03 eta: 4:56:00 time: 0.1963 data_time: 0.0008 memory: 1833 loss: 1.2804 loss_prob: 0.7023 loss_thr: 0.4546 loss_db: 0.1235 2022/12/19 21:26:04 - mmengine - INFO - Epoch(train) [235][50/79] lr: 5.7575e-03 eta: 4:55:59 time: 0.2130 data_time: 0.0008 memory: 1833 loss: 1.3168 loss_prob: 0.7316 loss_thr: 0.4574 loss_db: 0.1278 2022/12/19 21:26:04 - mmengine - INFO - Epoch(train) [235][55/79] lr: 5.7575e-03 eta: 4:55:56 time: 0.1929 data_time: 0.0007 memory: 1833 loss: 1.4264 loss_prob: 0.7997 loss_thr: 0.4868 loss_db: 0.1399 2022/12/19 21:26:05 - mmengine - INFO - Epoch(train) [235][60/79] lr: 5.7575e-03 eta: 4:55:55 time: 0.1951 data_time: 0.0007 memory: 1833 loss: 1.3620 loss_prob: 0.7540 loss_thr: 0.4774 loss_db: 0.1306 2022/12/19 21:26:06 - mmengine - INFO - Epoch(train) [235][65/79] lr: 5.7575e-03 eta: 4:55:53 time: 0.1955 data_time: 0.0007 memory: 1833 loss: 1.2568 loss_prob: 0.6863 loss_thr: 0.4509 loss_db: 0.1196 2022/12/19 21:26:08 - mmengine - INFO - Epoch(train) [235][70/79] lr: 5.7575e-03 eta: 4:55:51 time: 0.2054 data_time: 0.0007 memory: 1833 loss: 1.2959 loss_prob: 0.7294 loss_thr: 0.4413 loss_db: 0.1252 2022/12/19 21:26:09 - mmengine - INFO - Epoch(train) [235][75/79] lr: 5.7575e-03 eta: 4:55:50 time: 0.2211 data_time: 0.0007 memory: 1833 loss: 1.2530 loss_prob: 0.7046 loss_thr: 0.4274 loss_db: 0.1211 2022/12/19 21:26:09 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:26:12 - mmengine - INFO - Epoch(train) [236][5/79] lr: 5.7522e-03 eta: 4:55:53 time: 0.3467 data_time: 0.0478 memory: 1833 loss: 1.3428 loss_prob: 0.7530 loss_thr: 0.4598 loss_db: 0.1301 2022/12/19 21:26:13 - mmengine - INFO - Epoch(train) [236][10/79] lr: 5.7522e-03 eta: 4:55:52 time: 0.3839 data_time: 0.0480 memory: 1833 loss: 1.3526 loss_prob: 0.7646 loss_thr: 0.4553 loss_db: 0.1326 2022/12/19 21:26:14 - mmengine - INFO - Epoch(train) [236][15/79] lr: 5.7522e-03 eta: 4:55:50 time: 0.2370 data_time: 0.0009 memory: 1833 loss: 1.4207 loss_prob: 0.8098 loss_thr: 0.4707 loss_db: 0.1402 2022/12/19 21:26:15 - mmengine - INFO - Epoch(train) [236][20/79] lr: 5.7522e-03 eta: 4:55:49 time: 0.2033 data_time: 0.0008 memory: 1833 loss: 1.2958 loss_prob: 0.7262 loss_thr: 0.4429 loss_db: 0.1267 2022/12/19 21:26:16 - mmengine - INFO - Epoch(train) [236][25/79] lr: 5.7522e-03 eta: 4:55:47 time: 0.1999 data_time: 0.0008 memory: 1833 loss: 1.1825 loss_prob: 0.6501 loss_thr: 0.4203 loss_db: 0.1121 2022/12/19 21:26:17 - mmengine - INFO - Epoch(train) [236][30/79] lr: 5.7522e-03 eta: 4:55:45 time: 0.2049 data_time: 0.0008 memory: 1833 loss: 1.2319 loss_prob: 0.6715 loss_thr: 0.4441 loss_db: 0.1163 2022/12/19 21:26:18 - mmengine - INFO - Epoch(train) [236][35/79] lr: 5.7522e-03 eta: 4:55:43 time: 0.2060 data_time: 0.0008 memory: 1833 loss: 1.3096 loss_prob: 0.7295 loss_thr: 0.4539 loss_db: 0.1263 2022/12/19 21:26:19 - mmengine - INFO - Epoch(train) [236][40/79] lr: 5.7522e-03 eta: 4:55:42 time: 0.2129 data_time: 0.0008 memory: 1833 loss: 1.4062 loss_prob: 0.8076 loss_thr: 0.4612 loss_db: 0.1375 2022/12/19 21:26:20 - mmengine - INFO - Epoch(train) [236][45/79] lr: 5.7522e-03 eta: 4:55:40 time: 0.2105 data_time: 0.0008 memory: 1833 loss: 1.3297 loss_prob: 0.7603 loss_thr: 0.4368 loss_db: 0.1326 2022/12/19 21:26:22 - mmengine - INFO - Epoch(train) [236][50/79] lr: 5.7522e-03 eta: 4:55:39 time: 0.2202 data_time: 0.0008 memory: 1833 loss: 1.1935 loss_prob: 0.6565 loss_thr: 0.4206 loss_db: 0.1164 2022/12/19 21:26:23 - mmengine - INFO - Epoch(train) [236][55/79] lr: 5.7522e-03 eta: 4:55:38 time: 0.2368 data_time: 0.0007 memory: 1833 loss: 1.2230 loss_prob: 0.6581 loss_thr: 0.4495 loss_db: 0.1154 2022/12/19 21:26:24 - mmengine - INFO - Epoch(train) [236][60/79] lr: 5.7522e-03 eta: 4:55:37 time: 0.2315 data_time: 0.0007 memory: 1833 loss: 1.1566 loss_prob: 0.6290 loss_thr: 0.4183 loss_db: 0.1093 2022/12/19 21:26:25 - mmengine - INFO - Epoch(train) [236][65/79] lr: 5.7522e-03 eta: 4:55:35 time: 0.2261 data_time: 0.0007 memory: 1833 loss: 1.1213 loss_prob: 0.6211 loss_thr: 0.3926 loss_db: 0.1076 2022/12/19 21:26:26 - mmengine - INFO - Epoch(train) [236][70/79] lr: 5.7522e-03 eta: 4:55:34 time: 0.2156 data_time: 0.0008 memory: 1833 loss: 1.1378 loss_prob: 0.6198 loss_thr: 0.4088 loss_db: 0.1092 2022/12/19 21:26:27 - mmengine - INFO - Epoch(train) [236][75/79] lr: 5.7522e-03 eta: 4:55:32 time: 0.1979 data_time: 0.0010 memory: 1833 loss: 1.2679 loss_prob: 0.7052 loss_thr: 0.4406 loss_db: 0.1221 2022/12/19 21:26:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:26:31 - mmengine - INFO - Epoch(train) [237][5/79] lr: 5.7468e-03 eta: 4:55:38 time: 0.4319 data_time: 0.2252 memory: 1833 loss: 1.3111 loss_prob: 0.7461 loss_thr: 0.4350 loss_db: 0.1300 2022/12/19 21:26:32 - mmengine - INFO - Epoch(train) [237][10/79] lr: 5.7468e-03 eta: 4:55:37 time: 0.4575 data_time: 0.2253 memory: 1833 loss: 1.3726 loss_prob: 0.7667 loss_thr: 0.4729 loss_db: 0.1330 2022/12/19 21:26:33 - mmengine - INFO - Epoch(train) [237][15/79] lr: 5.7468e-03 eta: 4:55:35 time: 0.2292 data_time: 0.0008 memory: 1833 loss: 1.3338 loss_prob: 0.7398 loss_thr: 0.4623 loss_db: 0.1317 2022/12/19 21:26:35 - mmengine - INFO - Epoch(train) [237][20/79] lr: 5.7468e-03 eta: 4:55:34 time: 0.2193 data_time: 0.0008 memory: 1833 loss: 1.3633 loss_prob: 0.7569 loss_thr: 0.4747 loss_db: 0.1317 2022/12/19 21:26:36 - mmengine - INFO - Epoch(train) [237][25/79] lr: 5.7468e-03 eta: 4:55:32 time: 0.2169 data_time: 0.0008 memory: 1833 loss: 1.3879 loss_prob: 0.7794 loss_thr: 0.4755 loss_db: 0.1330 2022/12/19 21:26:37 - mmengine - INFO - Epoch(train) [237][30/79] lr: 5.7468e-03 eta: 4:55:31 time: 0.2201 data_time: 0.0008 memory: 1833 loss: 1.3441 loss_prob: 0.7487 loss_thr: 0.4683 loss_db: 0.1271 2022/12/19 21:26:38 - mmengine - INFO - Epoch(train) [237][35/79] lr: 5.7468e-03 eta: 4:55:29 time: 0.2070 data_time: 0.0008 memory: 1833 loss: 1.3155 loss_prob: 0.7304 loss_thr: 0.4610 loss_db: 0.1241 2022/12/19 21:26:39 - mmengine - INFO - Epoch(train) [237][40/79] lr: 5.7468e-03 eta: 4:55:28 time: 0.2064 data_time: 0.0008 memory: 1833 loss: 1.2430 loss_prob: 0.6849 loss_thr: 0.4401 loss_db: 0.1180 2022/12/19 21:26:40 - mmengine - INFO - Epoch(train) [237][45/79] lr: 5.7468e-03 eta: 4:55:26 time: 0.2172 data_time: 0.0008 memory: 1833 loss: 1.2235 loss_prob: 0.6747 loss_thr: 0.4315 loss_db: 0.1173 2022/12/19 21:26:41 - mmengine - INFO - Epoch(train) [237][50/79] lr: 5.7468e-03 eta: 4:55:25 time: 0.2205 data_time: 0.0008 memory: 1833 loss: 1.2551 loss_prob: 0.7010 loss_thr: 0.4314 loss_db: 0.1227 2022/12/19 21:26:42 - mmengine - INFO - Epoch(train) [237][55/79] lr: 5.7468e-03 eta: 4:55:23 time: 0.2157 data_time: 0.0007 memory: 1833 loss: 1.2100 loss_prob: 0.6673 loss_thr: 0.4276 loss_db: 0.1152 2022/12/19 21:26:43 - mmengine - INFO - Epoch(train) [237][60/79] lr: 5.7468e-03 eta: 4:55:21 time: 0.2081 data_time: 0.0007 memory: 1833 loss: 1.2938 loss_prob: 0.7228 loss_thr: 0.4482 loss_db: 0.1228 2022/12/19 21:26:44 - mmengine - INFO - Epoch(train) [237][65/79] lr: 5.7468e-03 eta: 4:55:19 time: 0.2004 data_time: 0.0007 memory: 1833 loss: 1.3316 loss_prob: 0.7522 loss_thr: 0.4502 loss_db: 0.1291 2022/12/19 21:26:45 - mmengine - INFO - Epoch(train) [237][70/79] lr: 5.7468e-03 eta: 4:55:18 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 1.2568 loss_prob: 0.6984 loss_thr: 0.4377 loss_db: 0.1207 2022/12/19 21:26:46 - mmengine - INFO - Epoch(train) [237][75/79] lr: 5.7468e-03 eta: 4:55:17 time: 0.2351 data_time: 0.0009 memory: 1833 loss: 1.2956 loss_prob: 0.7195 loss_thr: 0.4528 loss_db: 0.1234 2022/12/19 21:26:47 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:26:50 - mmengine - INFO - Epoch(train) [238][5/79] lr: 5.7414e-03 eta: 4:55:20 time: 0.3448 data_time: 0.0262 memory: 1833 loss: 1.1896 loss_prob: 0.6397 loss_thr: 0.4371 loss_db: 0.1128 2022/12/19 21:26:51 - mmengine - INFO - Epoch(train) [238][10/79] lr: 5.7414e-03 eta: 4:55:18 time: 0.3458 data_time: 0.0263 memory: 1833 loss: 1.3866 loss_prob: 0.7751 loss_thr: 0.4782 loss_db: 0.1333 2022/12/19 21:26:52 - mmengine - INFO - Epoch(train) [238][15/79] lr: 5.7414e-03 eta: 4:55:16 time: 0.2053 data_time: 0.0008 memory: 1833 loss: 1.3253 loss_prob: 0.7474 loss_thr: 0.4507 loss_db: 0.1271 2022/12/19 21:26:53 - mmengine - INFO - Epoch(train) [238][20/79] lr: 5.7414e-03 eta: 4:55:14 time: 0.2046 data_time: 0.0007 memory: 1833 loss: 1.2522 loss_prob: 0.7033 loss_thr: 0.4271 loss_db: 0.1218 2022/12/19 21:26:54 - mmengine - INFO - Epoch(train) [238][25/79] lr: 5.7414e-03 eta: 4:55:13 time: 0.2249 data_time: 0.0007 memory: 1833 loss: 1.2121 loss_prob: 0.6707 loss_thr: 0.4247 loss_db: 0.1167 2022/12/19 21:26:55 - mmengine - INFO - Epoch(train) [238][30/79] lr: 5.7414e-03 eta: 4:55:12 time: 0.2361 data_time: 0.0008 memory: 1833 loss: 1.2736 loss_prob: 0.7084 loss_thr: 0.4431 loss_db: 0.1221 2022/12/19 21:26:56 - mmengine - INFO - Epoch(train) [238][35/79] lr: 5.7414e-03 eta: 4:55:11 time: 0.2197 data_time: 0.0007 memory: 1833 loss: 1.2980 loss_prob: 0.7244 loss_thr: 0.4484 loss_db: 0.1251 2022/12/19 21:26:57 - mmengine - INFO - Epoch(train) [238][40/79] lr: 5.7414e-03 eta: 4:55:08 time: 0.1965 data_time: 0.0008 memory: 1833 loss: 1.2526 loss_prob: 0.6941 loss_thr: 0.4389 loss_db: 0.1197 2022/12/19 21:26:58 - mmengine - INFO - Epoch(train) [238][45/79] lr: 5.7414e-03 eta: 4:55:07 time: 0.1973 data_time: 0.0008 memory: 1833 loss: 1.2912 loss_prob: 0.7283 loss_thr: 0.4370 loss_db: 0.1258 2022/12/19 21:26:59 - mmengine - INFO - Epoch(train) [238][50/79] lr: 5.7414e-03 eta: 4:55:05 time: 0.2040 data_time: 0.0008 memory: 1833 loss: 1.1926 loss_prob: 0.6676 loss_thr: 0.4063 loss_db: 0.1186 2022/12/19 21:27:00 - mmengine - INFO - Epoch(train) [238][55/79] lr: 5.7414e-03 eta: 4:55:04 time: 0.2171 data_time: 0.0007 memory: 1833 loss: 1.2007 loss_prob: 0.6627 loss_thr: 0.4210 loss_db: 0.1170 2022/12/19 21:27:02 - mmengine - INFO - Epoch(train) [238][60/79] lr: 5.7414e-03 eta: 4:55:03 time: 0.2484 data_time: 0.0007 memory: 1833 loss: 1.2967 loss_prob: 0.7134 loss_thr: 0.4618 loss_db: 0.1216 2022/12/19 21:27:03 - mmengine - INFO - Epoch(train) [238][65/79] lr: 5.7414e-03 eta: 4:55:02 time: 0.2376 data_time: 0.0008 memory: 1833 loss: 1.2074 loss_prob: 0.6647 loss_thr: 0.4274 loss_db: 0.1153 2022/12/19 21:27:04 - mmengine - INFO - Epoch(train) [238][70/79] lr: 5.7414e-03 eta: 4:55:00 time: 0.2182 data_time: 0.0007 memory: 1833 loss: 1.2195 loss_prob: 0.6774 loss_thr: 0.4219 loss_db: 0.1202 2022/12/19 21:27:05 - mmengine - INFO - Epoch(train) [238][75/79] lr: 5.7414e-03 eta: 4:54:59 time: 0.2196 data_time: 0.0007 memory: 1833 loss: 1.1834 loss_prob: 0.6396 loss_thr: 0.4325 loss_db: 0.1113 2022/12/19 21:27:06 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:27:08 - mmengine - INFO - Epoch(train) [239][5/79] lr: 5.7361e-03 eta: 4:55:01 time: 0.3406 data_time: 0.0289 memory: 1833 loss: 1.3621 loss_prob: 0.7562 loss_thr: 0.4764 loss_db: 0.1296 2022/12/19 21:27:09 - mmengine - INFO - Epoch(train) [239][10/79] lr: 5.7361e-03 eta: 4:55:00 time: 0.3551 data_time: 0.0289 memory: 1833 loss: 1.3974 loss_prob: 0.7852 loss_thr: 0.4789 loss_db: 0.1334 2022/12/19 21:27:10 - mmengine - INFO - Epoch(train) [239][15/79] lr: 5.7361e-03 eta: 4:54:59 time: 0.2241 data_time: 0.0008 memory: 1833 loss: 1.3720 loss_prob: 0.7664 loss_thr: 0.4722 loss_db: 0.1334 2022/12/19 21:27:11 - mmengine - INFO - Epoch(train) [239][20/79] lr: 5.7361e-03 eta: 4:54:57 time: 0.2182 data_time: 0.0008 memory: 1833 loss: 1.2391 loss_prob: 0.6786 loss_thr: 0.4410 loss_db: 0.1195 2022/12/19 21:27:12 - mmengine - INFO - Epoch(train) [239][25/79] lr: 5.7361e-03 eta: 4:54:56 time: 0.2198 data_time: 0.0008 memory: 1833 loss: 1.1885 loss_prob: 0.6503 loss_thr: 0.4244 loss_db: 0.1138 2022/12/19 21:27:14 - mmengine - INFO - Epoch(train) [239][30/79] lr: 5.7361e-03 eta: 4:54:55 time: 0.2319 data_time: 0.0008 memory: 1833 loss: 1.1963 loss_prob: 0.6544 loss_thr: 0.4259 loss_db: 0.1160 2022/12/19 21:27:15 - mmengine - INFO - Epoch(train) [239][35/79] lr: 5.7361e-03 eta: 4:54:53 time: 0.2278 data_time: 0.0008 memory: 1833 loss: 1.1993 loss_prob: 0.6631 loss_thr: 0.4201 loss_db: 0.1161 2022/12/19 21:27:16 - mmengine - INFO - Epoch(train) [239][40/79] lr: 5.7361e-03 eta: 4:54:51 time: 0.2042 data_time: 0.0008 memory: 1833 loss: 1.2864 loss_prob: 0.7136 loss_thr: 0.4497 loss_db: 0.1231 2022/12/19 21:27:17 - mmengine - INFO - Epoch(train) [239][45/79] lr: 5.7361e-03 eta: 4:54:50 time: 0.2015 data_time: 0.0008 memory: 1833 loss: 1.2552 loss_prob: 0.6965 loss_thr: 0.4376 loss_db: 0.1211 2022/12/19 21:27:18 - mmengine - INFO - Epoch(train) [239][50/79] lr: 5.7361e-03 eta: 4:54:48 time: 0.2155 data_time: 0.0009 memory: 1833 loss: 1.1489 loss_prob: 0.6337 loss_thr: 0.4028 loss_db: 0.1124 2022/12/19 21:27:19 - mmengine - INFO - Epoch(train) [239][55/79] lr: 5.7361e-03 eta: 4:54:47 time: 0.2160 data_time: 0.0009 memory: 1833 loss: 1.2341 loss_prob: 0.6804 loss_thr: 0.4350 loss_db: 0.1186 2022/12/19 21:27:20 - mmengine - INFO - Epoch(train) [239][60/79] lr: 5.7361e-03 eta: 4:54:45 time: 0.2144 data_time: 0.0007 memory: 1833 loss: 1.2330 loss_prob: 0.6713 loss_thr: 0.4469 loss_db: 0.1149 2022/12/19 21:27:21 - mmengine - INFO - Epoch(train) [239][65/79] lr: 5.7361e-03 eta: 4:54:43 time: 0.2132 data_time: 0.0007 memory: 1833 loss: 1.2386 loss_prob: 0.6693 loss_thr: 0.4527 loss_db: 0.1165 2022/12/19 21:27:22 - mmengine - INFO - Epoch(train) [239][70/79] lr: 5.7361e-03 eta: 4:54:42 time: 0.2101 data_time: 0.0007 memory: 1833 loss: 1.2820 loss_prob: 0.6997 loss_thr: 0.4599 loss_db: 0.1224 2022/12/19 21:27:23 - mmengine - INFO - Epoch(train) [239][75/79] lr: 5.7361e-03 eta: 4:54:41 time: 0.2198 data_time: 0.0007 memory: 1833 loss: 1.3697 loss_prob: 0.7607 loss_thr: 0.4770 loss_db: 0.1320 2022/12/19 21:27:24 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:27:27 - mmengine - INFO - Epoch(train) [240][5/79] lr: 5.7307e-03 eta: 4:54:45 time: 0.3807 data_time: 0.0228 memory: 1833 loss: 1.5029 loss_prob: 0.8486 loss_thr: 0.5127 loss_db: 0.1416 2022/12/19 21:27:28 - mmengine - INFO - Epoch(train) [240][10/79] lr: 5.7307e-03 eta: 4:54:43 time: 0.3957 data_time: 0.0228 memory: 1833 loss: 1.2613 loss_prob: 0.6968 loss_thr: 0.4452 loss_db: 0.1193 2022/12/19 21:27:29 - mmengine - INFO - Epoch(train) [240][15/79] lr: 5.7307e-03 eta: 4:54:41 time: 0.2135 data_time: 0.0009 memory: 1833 loss: 1.1838 loss_prob: 0.6515 loss_thr: 0.4180 loss_db: 0.1143 2022/12/19 21:27:30 - mmengine - INFO - Epoch(train) [240][20/79] lr: 5.7307e-03 eta: 4:54:40 time: 0.2120 data_time: 0.0009 memory: 1833 loss: 1.4438 loss_prob: 0.8080 loss_thr: 0.4977 loss_db: 0.1381 2022/12/19 21:27:31 - mmengine - INFO - Epoch(train) [240][25/79] lr: 5.7307e-03 eta: 4:54:39 time: 0.2314 data_time: 0.0008 memory: 1833 loss: 1.6144 loss_prob: 0.9233 loss_thr: 0.5355 loss_db: 0.1557 2022/12/19 21:27:32 - mmengine - INFO - Epoch(train) [240][30/79] lr: 5.7307e-03 eta: 4:54:38 time: 0.2260 data_time: 0.0008 memory: 1833 loss: 1.4373 loss_prob: 0.8291 loss_thr: 0.4688 loss_db: 0.1394 2022/12/19 21:27:34 - mmengine - INFO - Epoch(train) [240][35/79] lr: 5.7307e-03 eta: 4:54:36 time: 0.2179 data_time: 0.0009 memory: 1833 loss: 1.3159 loss_prob: 0.7512 loss_thr: 0.4353 loss_db: 0.1294 2022/12/19 21:27:35 - mmengine - INFO - Epoch(train) [240][40/79] lr: 5.7307e-03 eta: 4:54:37 time: 0.2688 data_time: 0.0011 memory: 1833 loss: 1.2864 loss_prob: 0.7110 loss_thr: 0.4507 loss_db: 0.1247 2022/12/19 21:27:36 - mmengine - INFO - Epoch(train) [240][45/79] lr: 5.7307e-03 eta: 4:54:36 time: 0.2761 data_time: 0.0010 memory: 1833 loss: 1.3562 loss_prob: 0.7803 loss_thr: 0.4505 loss_db: 0.1254 2022/12/19 21:27:37 - mmengine - INFO - Epoch(train) [240][50/79] lr: 5.7307e-03 eta: 4:54:34 time: 0.2219 data_time: 0.0008 memory: 1833 loss: 1.4774 loss_prob: 0.8761 loss_thr: 0.4673 loss_db: 0.1341 2022/12/19 21:27:38 - mmengine - INFO - Epoch(train) [240][55/79] lr: 5.7307e-03 eta: 4:54:32 time: 0.2134 data_time: 0.0007 memory: 1833 loss: 1.4667 loss_prob: 0.8443 loss_thr: 0.4844 loss_db: 0.1380 2022/12/19 21:27:40 - mmengine - INFO - Epoch(train) [240][60/79] lr: 5.7307e-03 eta: 4:54:31 time: 0.2246 data_time: 0.0008 memory: 1833 loss: 1.3377 loss_prob: 0.7428 loss_thr: 0.4665 loss_db: 0.1285 2022/12/19 21:27:41 - mmengine - INFO - Epoch(train) [240][65/79] lr: 5.7307e-03 eta: 4:54:30 time: 0.2250 data_time: 0.0008 memory: 1833 loss: 1.1661 loss_prob: 0.6318 loss_thr: 0.4218 loss_db: 0.1126 2022/12/19 21:27:42 - mmengine - INFO - Epoch(train) [240][70/79] lr: 5.7307e-03 eta: 4:54:28 time: 0.2022 data_time: 0.0007 memory: 1833 loss: 1.3022 loss_prob: 0.7302 loss_thr: 0.4425 loss_db: 0.1294 2022/12/19 21:27:43 - mmengine - INFO - Epoch(train) [240][75/79] lr: 5.7307e-03 eta: 4:54:26 time: 0.2027 data_time: 0.0007 memory: 1833 loss: 1.4077 loss_prob: 0.8002 loss_thr: 0.4691 loss_db: 0.1384 2022/12/19 21:27:43 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:27:44 - mmengine - INFO - Epoch(val) [240][5/75] eta: 0:00:01 time: 0.0264 data_time: 0.0115 memory: 1833 2022/12/19 21:27:44 - mmengine - INFO - Epoch(val) [240][10/75] eta: 0:00:01 time: 0.0194 data_time: 0.0027 memory: 425 2022/12/19 21:27:44 - mmengine - INFO - Epoch(val) [240][15/75] eta: 0:00:01 time: 0.0366 data_time: 0.0003 memory: 425 2022/12/19 21:27:44 - mmengine - INFO - Epoch(val) [240][20/75] eta: 0:00:01 time: 0.0375 data_time: 0.0004 memory: 425 2022/12/19 21:27:44 - mmengine - INFO - Epoch(val) [240][25/75] eta: 0:00:01 time: 0.0257 data_time: 0.0093 memory: 390 2022/12/19 21:27:45 - mmengine - INFO - Epoch(val) [240][30/75] eta: 0:00:01 time: 0.0719 data_time: 0.0412 memory: 390 2022/12/19 21:27:45 - mmengine - INFO - Epoch(val) [240][35/75] eta: 0:00:01 time: 0.0740 data_time: 0.0431 memory: 368 2022/12/19 21:27:45 - mmengine - INFO - Epoch(val) [240][40/75] eta: 0:00:01 time: 0.0417 data_time: 0.0229 memory: 390 2022/12/19 21:27:45 - mmengine - INFO - Epoch(val) [240][45/75] eta: 0:00:01 time: 0.0320 data_time: 0.0121 memory: 425 2022/12/19 21:27:45 - mmengine - INFO - Epoch(val) [240][50/75] eta: 0:00:00 time: 0.0177 data_time: 0.0003 memory: 430 2022/12/19 21:27:45 - mmengine - INFO - Epoch(val) [240][55/75] eta: 0:00:00 time: 0.0202 data_time: 0.0028 memory: 407 2022/12/19 21:27:46 - mmengine - INFO - Epoch(val) [240][60/75] eta: 0:00:00 time: 0.0261 data_time: 0.0028 memory: 390 2022/12/19 21:27:46 - mmengine - INFO - Epoch(val) [240][65/75] eta: 0:00:00 time: 0.0261 data_time: 0.0003 memory: 390 2022/12/19 21:27:46 - mmengine - INFO - Epoch(val) [240][70/75] eta: 0:00:00 time: 0.0311 data_time: 0.0003 memory: 425 2022/12/19 21:27:46 - mmengine - INFO - Epoch(val) [240][75/75] eta: 0:00:00 time: 0.0362 data_time: 0.0098 memory: 368 2022/12/19 21:27:46 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 21:27:46 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7887, precision: 0.6583, hmean: 0.7176 2022/12/19 21:27:46 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7887, precision: 0.7207, hmean: 0.7532 2022/12/19 21:27:46 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7860, precision: 0.7690, hmean: 0.7774 2022/12/19 21:27:46 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7720, precision: 0.8182, hmean: 0.7944 2022/12/19 21:27:46 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7025, precision: 0.8693, hmean: 0.7770 2022/12/19 21:27:46 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3905, precision: 0.9361, hmean: 0.5511 2022/12/19 21:27:46 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0280, precision: 0.9394, hmean: 0.0544 2022/12/19 21:27:46 - mmengine - INFO - Epoch(val) [240][75/75] icdar/precision: 0.8182 icdar/recall: 0.7720 icdar/hmean: 0.7944 2022/12/19 21:27:48 - mmengine - INFO - Epoch(train) [241][5/79] lr: 5.7253e-03 eta: 4:54:28 time: 0.3226 data_time: 0.0555 memory: 1833 loss: 1.1950 loss_prob: 0.6595 loss_thr: 0.4208 loss_db: 0.1146 2022/12/19 21:27:50 - mmengine - INFO - Epoch(train) [241][10/79] lr: 5.7253e-03 eta: 4:54:27 time: 0.3479 data_time: 0.0556 memory: 1833 loss: 1.2276 loss_prob: 0.6825 loss_thr: 0.4257 loss_db: 0.1194 2022/12/19 21:27:51 - mmengine - INFO - Epoch(train) [241][15/79] lr: 5.7253e-03 eta: 4:54:26 time: 0.2462 data_time: 0.0010 memory: 1833 loss: 1.1859 loss_prob: 0.6516 loss_thr: 0.4216 loss_db: 0.1127 2022/12/19 21:27:52 - mmengine - INFO - Epoch(train) [241][20/79] lr: 5.7253e-03 eta: 4:54:24 time: 0.2321 data_time: 0.0010 memory: 1833 loss: 1.2482 loss_prob: 0.6894 loss_thr: 0.4432 loss_db: 0.1156 2022/12/19 21:27:53 - mmengine - INFO - Epoch(train) [241][25/79] lr: 5.7253e-03 eta: 4:54:23 time: 0.2317 data_time: 0.0008 memory: 1833 loss: 1.3444 loss_prob: 0.7622 loss_thr: 0.4528 loss_db: 0.1293 2022/12/19 21:27:54 - mmengine - INFO - Epoch(train) [241][30/79] lr: 5.7253e-03 eta: 4:54:23 time: 0.2418 data_time: 0.0008 memory: 1833 loss: 1.3316 loss_prob: 0.7579 loss_thr: 0.4416 loss_db: 0.1321 2022/12/19 21:27:55 - mmengine - INFO - Epoch(train) [241][35/79] lr: 5.7253e-03 eta: 4:54:21 time: 0.2229 data_time: 0.0008 memory: 1833 loss: 1.2716 loss_prob: 0.7097 loss_thr: 0.4408 loss_db: 0.1211 2022/12/19 21:27:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:27:56 - mmengine - INFO - Epoch(train) [241][40/79] lr: 5.7253e-03 eta: 4:54:19 time: 0.2067 data_time: 0.0008 memory: 1833 loss: 1.3266 loss_prob: 0.7329 loss_thr: 0.4699 loss_db: 0.1237 2022/12/19 21:27:58 - mmengine - INFO - Epoch(train) [241][45/79] lr: 5.7253e-03 eta: 4:54:18 time: 0.2171 data_time: 0.0008 memory: 1833 loss: 1.4107 loss_prob: 0.8028 loss_thr: 0.4733 loss_db: 0.1346 2022/12/19 21:27:58 - mmengine - INFO - Epoch(train) [241][50/79] lr: 5.7253e-03 eta: 4:54:16 time: 0.2080 data_time: 0.0008 memory: 1833 loss: 1.3901 loss_prob: 0.7979 loss_thr: 0.4552 loss_db: 0.1369 2022/12/19 21:28:00 - mmengine - INFO - Epoch(train) [241][55/79] lr: 5.7253e-03 eta: 4:54:14 time: 0.2041 data_time: 0.0007 memory: 1833 loss: 1.3297 loss_prob: 0.7483 loss_thr: 0.4503 loss_db: 0.1312 2022/12/19 21:28:01 - mmengine - INFO - Epoch(train) [241][60/79] lr: 5.7253e-03 eta: 4:54:13 time: 0.2298 data_time: 0.0006 memory: 1833 loss: 1.3326 loss_prob: 0.7472 loss_thr: 0.4573 loss_db: 0.1281 2022/12/19 21:28:02 - mmengine - INFO - Epoch(train) [241][65/79] lr: 5.7253e-03 eta: 4:54:11 time: 0.2219 data_time: 0.0006 memory: 1833 loss: 1.2958 loss_prob: 0.7161 loss_thr: 0.4568 loss_db: 0.1229 2022/12/19 21:28:03 - mmengine - INFO - Epoch(train) [241][70/79] lr: 5.7253e-03 eta: 4:54:10 time: 0.1996 data_time: 0.0006 memory: 1833 loss: 1.2331 loss_prob: 0.6789 loss_thr: 0.4352 loss_db: 0.1189 2022/12/19 21:28:04 - mmengine - INFO - Epoch(train) [241][75/79] lr: 5.7253e-03 eta: 4:54:07 time: 0.1902 data_time: 0.0006 memory: 1833 loss: 1.3148 loss_prob: 0.7335 loss_thr: 0.4522 loss_db: 0.1291 2022/12/19 21:28:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:28:07 - mmengine - INFO - Epoch(train) [242][5/79] lr: 5.7199e-03 eta: 4:54:10 time: 0.3466 data_time: 0.0957 memory: 1833 loss: 1.1372 loss_prob: 0.6159 loss_thr: 0.4149 loss_db: 0.1064 2022/12/19 21:28:08 - mmengine - INFO - Epoch(train) [242][10/79] lr: 5.7199e-03 eta: 4:54:08 time: 0.3452 data_time: 0.0958 memory: 1833 loss: 1.1157 loss_prob: 0.6025 loss_thr: 0.4074 loss_db: 0.1059 2022/12/19 21:28:09 - mmengine - INFO - Epoch(train) [242][15/79] lr: 5.7199e-03 eta: 4:54:07 time: 0.2082 data_time: 0.0009 memory: 1833 loss: 1.2130 loss_prob: 0.6779 loss_thr: 0.4156 loss_db: 0.1194 2022/12/19 21:28:10 - mmengine - INFO - Epoch(train) [242][20/79] lr: 5.7199e-03 eta: 4:54:05 time: 0.2150 data_time: 0.0009 memory: 1833 loss: 1.1845 loss_prob: 0.6573 loss_thr: 0.4121 loss_db: 0.1151 2022/12/19 21:28:11 - mmengine - INFO - Epoch(train) [242][25/79] lr: 5.7199e-03 eta: 4:54:04 time: 0.2180 data_time: 0.0008 memory: 1833 loss: 1.0962 loss_prob: 0.5956 loss_thr: 0.3967 loss_db: 0.1038 2022/12/19 21:28:12 - mmengine - INFO - Epoch(train) [242][30/79] lr: 5.7199e-03 eta: 4:54:02 time: 0.2125 data_time: 0.0008 memory: 1833 loss: 1.1689 loss_prob: 0.6433 loss_thr: 0.4107 loss_db: 0.1149 2022/12/19 21:28:13 - mmengine - INFO - Epoch(train) [242][35/79] lr: 5.7199e-03 eta: 4:54:01 time: 0.2156 data_time: 0.0008 memory: 1833 loss: 1.3208 loss_prob: 0.7417 loss_thr: 0.4484 loss_db: 0.1306 2022/12/19 21:28:15 - mmengine - INFO - Epoch(train) [242][40/79] lr: 5.7199e-03 eta: 4:54:00 time: 0.2264 data_time: 0.0008 memory: 1833 loss: 1.3679 loss_prob: 0.7681 loss_thr: 0.4680 loss_db: 0.1318 2022/12/19 21:28:16 - mmengine - INFO - Epoch(train) [242][45/79] lr: 5.7199e-03 eta: 4:53:58 time: 0.2253 data_time: 0.0009 memory: 1833 loss: 1.2321 loss_prob: 0.6831 loss_thr: 0.4313 loss_db: 0.1177 2022/12/19 21:28:17 - mmengine - INFO - Epoch(train) [242][50/79] lr: 5.7199e-03 eta: 4:53:57 time: 0.2137 data_time: 0.0008 memory: 1833 loss: 1.2333 loss_prob: 0.6796 loss_thr: 0.4363 loss_db: 0.1174 2022/12/19 21:28:18 - mmengine - INFO - Epoch(train) [242][55/79] lr: 5.7199e-03 eta: 4:53:56 time: 0.2363 data_time: 0.0007 memory: 1833 loss: 1.2487 loss_prob: 0.6611 loss_thr: 0.4733 loss_db: 0.1143 2022/12/19 21:28:19 - mmengine - INFO - Epoch(train) [242][60/79] lr: 5.7199e-03 eta: 4:53:54 time: 0.2374 data_time: 0.0008 memory: 1833 loss: 1.2289 loss_prob: 0.6598 loss_thr: 0.4543 loss_db: 0.1147 2022/12/19 21:28:20 - mmengine - INFO - Epoch(train) [242][65/79] lr: 5.7199e-03 eta: 4:53:53 time: 0.2129 data_time: 0.0008 memory: 1833 loss: 1.2654 loss_prob: 0.6977 loss_thr: 0.4469 loss_db: 0.1207 2022/12/19 21:28:21 - mmengine - INFO - Epoch(train) [242][70/79] lr: 5.7199e-03 eta: 4:53:51 time: 0.2090 data_time: 0.0008 memory: 1833 loss: 1.2497 loss_prob: 0.6831 loss_thr: 0.4489 loss_db: 0.1177 2022/12/19 21:28:22 - mmengine - INFO - Epoch(train) [242][75/79] lr: 5.7199e-03 eta: 4:53:51 time: 0.2343 data_time: 0.0010 memory: 1833 loss: 1.2682 loss_prob: 0.6917 loss_thr: 0.4565 loss_db: 0.1199 2022/12/19 21:28:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:28:25 - mmengine - INFO - Epoch(train) [243][5/79] lr: 5.7146e-03 eta: 4:53:50 time: 0.2933 data_time: 0.0370 memory: 1833 loss: 1.2003 loss_prob: 0.6563 loss_thr: 0.4308 loss_db: 0.1133 2022/12/19 21:28:26 - mmengine - INFO - Epoch(train) [243][10/79] lr: 5.7146e-03 eta: 4:53:50 time: 0.3178 data_time: 0.0370 memory: 1833 loss: 1.2047 loss_prob: 0.6656 loss_thr: 0.4237 loss_db: 0.1155 2022/12/19 21:28:27 - mmengine - INFO - Epoch(train) [243][15/79] lr: 5.7146e-03 eta: 4:53:48 time: 0.2359 data_time: 0.0010 memory: 1833 loss: 1.2200 loss_prob: 0.6796 loss_thr: 0.4219 loss_db: 0.1184 2022/12/19 21:28:29 - mmengine - INFO - Epoch(train) [243][20/79] lr: 5.7146e-03 eta: 4:53:47 time: 0.2207 data_time: 0.0009 memory: 1833 loss: 1.1072 loss_prob: 0.5949 loss_thr: 0.4092 loss_db: 0.1031 2022/12/19 21:28:30 - mmengine - INFO - Epoch(train) [243][25/79] lr: 5.7146e-03 eta: 4:53:45 time: 0.2209 data_time: 0.0008 memory: 1833 loss: 1.2814 loss_prob: 0.7007 loss_thr: 0.4582 loss_db: 0.1225 2022/12/19 21:28:31 - mmengine - INFO - Epoch(train) [243][30/79] lr: 5.7146e-03 eta: 4:53:44 time: 0.2035 data_time: 0.0008 memory: 1833 loss: 1.3993 loss_prob: 0.7891 loss_thr: 0.4728 loss_db: 0.1373 2022/12/19 21:28:32 - mmengine - INFO - Epoch(train) [243][35/79] lr: 5.7146e-03 eta: 4:53:43 time: 0.2235 data_time: 0.0008 memory: 1833 loss: 1.3527 loss_prob: 0.7700 loss_thr: 0.4493 loss_db: 0.1334 2022/12/19 21:28:33 - mmengine - INFO - Epoch(train) [243][40/79] lr: 5.7146e-03 eta: 4:53:41 time: 0.2373 data_time: 0.0008 memory: 1833 loss: 1.2518 loss_prob: 0.6993 loss_thr: 0.4315 loss_db: 0.1211 2022/12/19 21:28:34 - mmengine - INFO - Epoch(train) [243][45/79] lr: 5.7146e-03 eta: 4:53:39 time: 0.2087 data_time: 0.0008 memory: 1833 loss: 1.1288 loss_prob: 0.6117 loss_thr: 0.4118 loss_db: 0.1053 2022/12/19 21:28:35 - mmengine - INFO - Epoch(train) [243][50/79] lr: 5.7146e-03 eta: 4:53:38 time: 0.2163 data_time: 0.0007 memory: 1833 loss: 1.0924 loss_prob: 0.5885 loss_thr: 0.3994 loss_db: 0.1045 2022/12/19 21:28:36 - mmengine - INFO - Epoch(train) [243][55/79] lr: 5.7146e-03 eta: 4:53:36 time: 0.2149 data_time: 0.0007 memory: 1833 loss: 1.1494 loss_prob: 0.6259 loss_thr: 0.4131 loss_db: 0.1103 2022/12/19 21:28:37 - mmengine - INFO - Epoch(train) [243][60/79] lr: 5.7146e-03 eta: 4:53:35 time: 0.2038 data_time: 0.0007 memory: 1833 loss: 1.3825 loss_prob: 0.7754 loss_thr: 0.4754 loss_db: 0.1317 2022/12/19 21:28:38 - mmengine - INFO - Epoch(train) [243][65/79] lr: 5.7146e-03 eta: 4:53:34 time: 0.2296 data_time: 0.0008 memory: 1833 loss: 1.4005 loss_prob: 0.8022 loss_thr: 0.4636 loss_db: 0.1347 2022/12/19 21:28:40 - mmengine - INFO - Epoch(train) [243][70/79] lr: 5.7146e-03 eta: 4:53:33 time: 0.2447 data_time: 0.0009 memory: 1833 loss: 1.3144 loss_prob: 0.7431 loss_thr: 0.4458 loss_db: 0.1255 2022/12/19 21:28:41 - mmengine - INFO - Epoch(train) [243][75/79] lr: 5.7146e-03 eta: 4:53:31 time: 0.2248 data_time: 0.0008 memory: 1833 loss: 1.2635 loss_prob: 0.6961 loss_thr: 0.4470 loss_db: 0.1204 2022/12/19 21:28:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:28:43 - mmengine - INFO - Epoch(train) [244][5/79] lr: 5.7092e-03 eta: 4:53:31 time: 0.2695 data_time: 0.0229 memory: 1833 loss: 1.0786 loss_prob: 0.5695 loss_thr: 0.4112 loss_db: 0.0979 2022/12/19 21:28:44 - mmengine - INFO - Epoch(train) [244][10/79] lr: 5.7092e-03 eta: 4:53:30 time: 0.3031 data_time: 0.0230 memory: 1833 loss: 1.2013 loss_prob: 0.6578 loss_thr: 0.4359 loss_db: 0.1077 2022/12/19 21:28:46 - mmengine - INFO - Epoch(train) [244][15/79] lr: 5.7092e-03 eta: 4:53:29 time: 0.2405 data_time: 0.0008 memory: 1833 loss: 1.3026 loss_prob: 0.7230 loss_thr: 0.4602 loss_db: 0.1194 2022/12/19 21:28:47 - mmengine - INFO - Epoch(train) [244][20/79] lr: 5.7092e-03 eta: 4:53:28 time: 0.2357 data_time: 0.0008 memory: 1833 loss: 1.2817 loss_prob: 0.7081 loss_thr: 0.4514 loss_db: 0.1222 2022/12/19 21:28:48 - mmengine - INFO - Epoch(train) [244][25/79] lr: 5.7092e-03 eta: 4:53:26 time: 0.2228 data_time: 0.0008 memory: 1833 loss: 1.2197 loss_prob: 0.6647 loss_thr: 0.4411 loss_db: 0.1139 2022/12/19 21:28:49 - mmengine - INFO - Epoch(train) [244][30/79] lr: 5.7092e-03 eta: 4:53:25 time: 0.2190 data_time: 0.0010 memory: 1833 loss: 1.1832 loss_prob: 0.6399 loss_thr: 0.4348 loss_db: 0.1085 2022/12/19 21:28:50 - mmengine - INFO - Epoch(train) [244][35/79] lr: 5.7092e-03 eta: 4:53:23 time: 0.2132 data_time: 0.0010 memory: 1833 loss: 1.2240 loss_prob: 0.6685 loss_thr: 0.4405 loss_db: 0.1150 2022/12/19 21:28:51 - mmengine - INFO - Epoch(train) [244][40/79] lr: 5.7092e-03 eta: 4:53:22 time: 0.2118 data_time: 0.0008 memory: 1833 loss: 1.3737 loss_prob: 0.7771 loss_thr: 0.4644 loss_db: 0.1322 2022/12/19 21:28:52 - mmengine - INFO - Epoch(train) [244][45/79] lr: 5.7092e-03 eta: 4:53:20 time: 0.2229 data_time: 0.0008 memory: 1833 loss: 1.4138 loss_prob: 0.7964 loss_thr: 0.4832 loss_db: 0.1342 2022/12/19 21:28:53 - mmengine - INFO - Epoch(train) [244][50/79] lr: 5.7092e-03 eta: 4:53:18 time: 0.2128 data_time: 0.0007 memory: 1833 loss: 1.3606 loss_prob: 0.7530 loss_thr: 0.4799 loss_db: 0.1278 2022/12/19 21:28:54 - mmengine - INFO - Epoch(train) [244][55/79] lr: 5.7092e-03 eta: 4:53:17 time: 0.2012 data_time: 0.0007 memory: 1833 loss: 1.3726 loss_prob: 0.7570 loss_thr: 0.4851 loss_db: 0.1305 2022/12/19 21:28:55 - mmengine - INFO - Epoch(train) [244][60/79] lr: 5.7092e-03 eta: 4:53:15 time: 0.2007 data_time: 0.0007 memory: 1833 loss: 1.3666 loss_prob: 0.7576 loss_thr: 0.4790 loss_db: 0.1300 2022/12/19 21:28:56 - mmengine - INFO - Epoch(train) [244][65/79] lr: 5.7092e-03 eta: 4:53:13 time: 0.2001 data_time: 0.0007 memory: 1833 loss: 1.3416 loss_prob: 0.7533 loss_thr: 0.4615 loss_db: 0.1268 2022/12/19 21:28:57 - mmengine - INFO - Epoch(train) [244][70/79] lr: 5.7092e-03 eta: 4:53:11 time: 0.1976 data_time: 0.0007 memory: 1833 loss: 1.2072 loss_prob: 0.6598 loss_thr: 0.4352 loss_db: 0.1123 2022/12/19 21:28:58 - mmengine - INFO - Epoch(train) [244][75/79] lr: 5.7092e-03 eta: 4:53:09 time: 0.1928 data_time: 0.0007 memory: 1833 loss: 1.0981 loss_prob: 0.5924 loss_thr: 0.4014 loss_db: 0.1043 2022/12/19 21:28:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:29:01 - mmengine - INFO - Epoch(train) [245][5/79] lr: 5.7038e-03 eta: 4:53:10 time: 0.3119 data_time: 0.0392 memory: 1833 loss: 1.2932 loss_prob: 0.7210 loss_thr: 0.4486 loss_db: 0.1237 2022/12/19 21:29:02 - mmengine - INFO - Epoch(train) [245][10/79] lr: 5.7038e-03 eta: 4:53:09 time: 0.3221 data_time: 0.0393 memory: 1833 loss: 1.1412 loss_prob: 0.6172 loss_thr: 0.4146 loss_db: 0.1095 2022/12/19 21:29:03 - mmengine - INFO - Epoch(train) [245][15/79] lr: 5.7038e-03 eta: 4:53:07 time: 0.2129 data_time: 0.0007 memory: 1833 loss: 1.0552 loss_prob: 0.5640 loss_thr: 0.3907 loss_db: 0.1005 2022/12/19 21:29:04 - mmengine - INFO - Epoch(train) [245][20/79] lr: 5.7038e-03 eta: 4:53:06 time: 0.2068 data_time: 0.0008 memory: 1833 loss: 1.2456 loss_prob: 0.6949 loss_thr: 0.4315 loss_db: 0.1192 2022/12/19 21:29:05 - mmengine - INFO - Epoch(train) [245][25/79] lr: 5.7038e-03 eta: 4:53:04 time: 0.2120 data_time: 0.0008 memory: 1833 loss: 1.3833 loss_prob: 0.7856 loss_thr: 0.4611 loss_db: 0.1367 2022/12/19 21:29:06 - mmengine - INFO - Epoch(train) [245][30/79] lr: 5.7038e-03 eta: 4:53:03 time: 0.2196 data_time: 0.0008 memory: 1833 loss: 1.3308 loss_prob: 0.7580 loss_thr: 0.4402 loss_db: 0.1326 2022/12/19 21:29:08 - mmengine - INFO - Epoch(train) [245][35/79] lr: 5.7038e-03 eta: 4:53:02 time: 0.2428 data_time: 0.0010 memory: 1833 loss: 1.2502 loss_prob: 0.7051 loss_thr: 0.4242 loss_db: 0.1209 2022/12/19 21:29:09 - mmengine - INFO - Epoch(train) [245][40/79] lr: 5.7038e-03 eta: 4:53:00 time: 0.2249 data_time: 0.0010 memory: 1833 loss: 1.1771 loss_prob: 0.6501 loss_thr: 0.4154 loss_db: 0.1117 2022/12/19 21:29:10 - mmengine - INFO - Epoch(train) [245][45/79] lr: 5.7038e-03 eta: 4:52:59 time: 0.2160 data_time: 0.0008 memory: 1833 loss: 1.1669 loss_prob: 0.6370 loss_thr: 0.4173 loss_db: 0.1126 2022/12/19 21:29:11 - mmengine - INFO - Epoch(train) [245][50/79] lr: 5.7038e-03 eta: 4:52:58 time: 0.2367 data_time: 0.0007 memory: 1833 loss: 1.3008 loss_prob: 0.7376 loss_thr: 0.4355 loss_db: 0.1277 2022/12/19 21:29:12 - mmengine - INFO - Epoch(train) [245][55/79] lr: 5.7038e-03 eta: 4:52:56 time: 0.2179 data_time: 0.0007 memory: 1833 loss: 1.3441 loss_prob: 0.7712 loss_thr: 0.4414 loss_db: 0.1316 2022/12/19 21:29:13 - mmengine - INFO - Epoch(train) [245][60/79] lr: 5.7038e-03 eta: 4:52:55 time: 0.2185 data_time: 0.0007 memory: 1833 loss: 1.2420 loss_prob: 0.6865 loss_thr: 0.4351 loss_db: 0.1204 2022/12/19 21:29:14 - mmengine - INFO - Epoch(train) [245][65/79] lr: 5.7038e-03 eta: 4:52:54 time: 0.2331 data_time: 0.0007 memory: 1833 loss: 1.2051 loss_prob: 0.6620 loss_thr: 0.4275 loss_db: 0.1156 2022/12/19 21:29:15 - mmengine - INFO - Epoch(train) [245][70/79] lr: 5.7038e-03 eta: 4:52:52 time: 0.2201 data_time: 0.0008 memory: 1833 loss: 1.2600 loss_prob: 0.6924 loss_thr: 0.4485 loss_db: 0.1191 2022/12/19 21:29:17 - mmengine - INFO - Epoch(train) [245][75/79] lr: 5.7038e-03 eta: 4:52:51 time: 0.2141 data_time: 0.0008 memory: 1833 loss: 1.3230 loss_prob: 0.7245 loss_thr: 0.4726 loss_db: 0.1260 2022/12/19 21:29:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:29:19 - mmengine - INFO - Epoch(train) [246][5/79] lr: 5.6984e-03 eta: 4:52:51 time: 0.2807 data_time: 0.0683 memory: 1833 loss: 1.3179 loss_prob: 0.7506 loss_thr: 0.4397 loss_db: 0.1276 2022/12/19 21:29:20 - mmengine - INFO - Epoch(train) [246][10/79] lr: 5.6984e-03 eta: 4:52:50 time: 0.3075 data_time: 0.0684 memory: 1833 loss: 1.1241 loss_prob: 0.6202 loss_thr: 0.3987 loss_db: 0.1053 2022/12/19 21:29:22 - mmengine - INFO - Epoch(train) [246][15/79] lr: 5.6984e-03 eta: 4:52:48 time: 0.2362 data_time: 0.0008 memory: 1833 loss: 1.1210 loss_prob: 0.6208 loss_thr: 0.3942 loss_db: 0.1060 2022/12/19 21:29:23 - mmengine - INFO - Epoch(train) [246][20/79] lr: 5.6984e-03 eta: 4:52:49 time: 0.2694 data_time: 0.0009 memory: 1833 loss: 1.2227 loss_prob: 0.6699 loss_thr: 0.4371 loss_db: 0.1156 2022/12/19 21:29:24 - mmengine - INFO - Epoch(train) [246][25/79] lr: 5.6984e-03 eta: 4:52:47 time: 0.2611 data_time: 0.0009 memory: 1833 loss: 1.2687 loss_prob: 0.6950 loss_thr: 0.4532 loss_db: 0.1206 2022/12/19 21:29:25 - mmengine - INFO - Epoch(train) [246][30/79] lr: 5.6984e-03 eta: 4:52:46 time: 0.2148 data_time: 0.0008 memory: 1833 loss: 1.2049 loss_prob: 0.6634 loss_thr: 0.4270 loss_db: 0.1146 2022/12/19 21:29:26 - mmengine - INFO - Epoch(train) [246][35/79] lr: 5.6984e-03 eta: 4:52:44 time: 0.2050 data_time: 0.0008 memory: 1833 loss: 1.2574 loss_prob: 0.6971 loss_thr: 0.4402 loss_db: 0.1201 2022/12/19 21:29:27 - mmengine - INFO - Epoch(train) [246][40/79] lr: 5.6984e-03 eta: 4:52:43 time: 0.2129 data_time: 0.0008 memory: 1833 loss: 1.2686 loss_prob: 0.7133 loss_thr: 0.4331 loss_db: 0.1223 2022/12/19 21:29:28 - mmengine - INFO - Epoch(train) [246][45/79] lr: 5.6984e-03 eta: 4:52:41 time: 0.2158 data_time: 0.0008 memory: 1833 loss: 1.1973 loss_prob: 0.6681 loss_thr: 0.4125 loss_db: 0.1166 2022/12/19 21:29:30 - mmengine - INFO - Epoch(train) [246][50/79] lr: 5.6984e-03 eta: 4:52:40 time: 0.2260 data_time: 0.0008 memory: 1833 loss: 1.1904 loss_prob: 0.6632 loss_thr: 0.4115 loss_db: 0.1156 2022/12/19 21:29:31 - mmengine - INFO - Epoch(train) [246][55/79] lr: 5.6984e-03 eta: 4:52:38 time: 0.2291 data_time: 0.0007 memory: 1833 loss: 1.2008 loss_prob: 0.6733 loss_thr: 0.4107 loss_db: 0.1168 2022/12/19 21:29:32 - mmengine - INFO - Epoch(train) [246][60/79] lr: 5.6984e-03 eta: 4:52:37 time: 0.2164 data_time: 0.0008 memory: 1833 loss: 1.1991 loss_prob: 0.6753 loss_thr: 0.4080 loss_db: 0.1157 2022/12/19 21:29:33 - mmengine - INFO - Epoch(train) [246][65/79] lr: 5.6984e-03 eta: 4:52:35 time: 0.2097 data_time: 0.0008 memory: 1833 loss: 1.1541 loss_prob: 0.6388 loss_thr: 0.4070 loss_db: 0.1083 2022/12/19 21:29:34 - mmengine - INFO - Epoch(train) [246][70/79] lr: 5.6984e-03 eta: 4:52:33 time: 0.1944 data_time: 0.0007 memory: 1833 loss: 1.1025 loss_prob: 0.6013 loss_thr: 0.3961 loss_db: 0.1051 2022/12/19 21:29:35 - mmengine - INFO - Epoch(train) [246][75/79] lr: 5.6984e-03 eta: 4:52:32 time: 0.2041 data_time: 0.0007 memory: 1833 loss: 1.1474 loss_prob: 0.6255 loss_thr: 0.4118 loss_db: 0.1102 2022/12/19 21:29:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:29:38 - mmengine - INFO - Epoch(train) [247][5/79] lr: 5.6931e-03 eta: 4:52:34 time: 0.3390 data_time: 0.1132 memory: 1833 loss: 1.1913 loss_prob: 0.6463 loss_thr: 0.4323 loss_db: 0.1128 2022/12/19 21:29:39 - mmengine - INFO - Epoch(train) [247][10/79] lr: 5.6931e-03 eta: 4:52:33 time: 0.3539 data_time: 0.1135 memory: 1833 loss: 1.3041 loss_prob: 0.7211 loss_thr: 0.4588 loss_db: 0.1243 2022/12/19 21:29:40 - mmengine - INFO - Epoch(train) [247][15/79] lr: 5.6931e-03 eta: 4:52:31 time: 0.2314 data_time: 0.0010 memory: 1833 loss: 1.2979 loss_prob: 0.7245 loss_thr: 0.4496 loss_db: 0.1238 2022/12/19 21:29:41 - mmengine - INFO - Epoch(train) [247][20/79] lr: 5.6931e-03 eta: 4:52:30 time: 0.2291 data_time: 0.0008 memory: 1833 loss: 1.1462 loss_prob: 0.6317 loss_thr: 0.4040 loss_db: 0.1104 2022/12/19 21:29:42 - mmengine - INFO - Epoch(train) [247][25/79] lr: 5.6931e-03 eta: 4:52:29 time: 0.2224 data_time: 0.0008 memory: 1833 loss: 1.0888 loss_prob: 0.5980 loss_thr: 0.3844 loss_db: 0.1064 2022/12/19 21:29:43 - mmengine - INFO - Epoch(train) [247][30/79] lr: 5.6931e-03 eta: 4:52:27 time: 0.2022 data_time: 0.0008 memory: 1833 loss: 1.1289 loss_prob: 0.6243 loss_thr: 0.3957 loss_db: 0.1089 2022/12/19 21:29:45 - mmengine - INFO - Epoch(train) [247][35/79] lr: 5.6931e-03 eta: 4:52:25 time: 0.2084 data_time: 0.0008 memory: 1833 loss: 1.2034 loss_prob: 0.6651 loss_thr: 0.4239 loss_db: 0.1144 2022/12/19 21:29:46 - mmengine - INFO - Epoch(train) [247][40/79] lr: 5.6931e-03 eta: 4:52:24 time: 0.2227 data_time: 0.0008 memory: 1833 loss: 1.1971 loss_prob: 0.6521 loss_thr: 0.4318 loss_db: 0.1132 2022/12/19 21:29:47 - mmengine - INFO - Epoch(train) [247][45/79] lr: 5.6931e-03 eta: 4:52:23 time: 0.2420 data_time: 0.0008 memory: 1833 loss: 1.2810 loss_prob: 0.6926 loss_thr: 0.4674 loss_db: 0.1210 2022/12/19 21:29:48 - mmengine - INFO - Epoch(train) [247][50/79] lr: 5.6931e-03 eta: 4:52:23 time: 0.2595 data_time: 0.0009 memory: 1833 loss: 1.3842 loss_prob: 0.7550 loss_thr: 0.4984 loss_db: 0.1309 2022/12/19 21:29:49 - mmengine - INFO - Epoch(train) [247][55/79] lr: 5.6931e-03 eta: 4:52:21 time: 0.2452 data_time: 0.0012 memory: 1833 loss: 1.3377 loss_prob: 0.7422 loss_thr: 0.4667 loss_db: 0.1289 2022/12/19 21:29:50 - mmengine - INFO - Epoch(train) [247][60/79] lr: 5.6931e-03 eta: 4:52:20 time: 0.2181 data_time: 0.0011 memory: 1833 loss: 1.2694 loss_prob: 0.7093 loss_thr: 0.4377 loss_db: 0.1224 2022/12/19 21:29:52 - mmengine - INFO - Epoch(train) [247][65/79] lr: 5.6931e-03 eta: 4:52:19 time: 0.2181 data_time: 0.0006 memory: 1833 loss: 1.2434 loss_prob: 0.6859 loss_thr: 0.4403 loss_db: 0.1172 2022/12/19 21:29:53 - mmengine - INFO - Epoch(train) [247][70/79] lr: 5.6931e-03 eta: 4:52:16 time: 0.2113 data_time: 0.0006 memory: 1833 loss: 1.1911 loss_prob: 0.6500 loss_thr: 0.4270 loss_db: 0.1141 2022/12/19 21:29:54 - mmengine - INFO - Epoch(train) [247][75/79] lr: 5.6931e-03 eta: 4:52:15 time: 0.1896 data_time: 0.0006 memory: 1833 loss: 1.1850 loss_prob: 0.6510 loss_thr: 0.4209 loss_db: 0.1131 2022/12/19 21:29:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:29:57 - mmengine - INFO - Epoch(train) [248][5/79] lr: 5.6877e-03 eta: 4:52:18 time: 0.3612 data_time: 0.1490 memory: 1833 loss: 1.2394 loss_prob: 0.6822 loss_thr: 0.4362 loss_db: 0.1210 2022/12/19 21:29:58 - mmengine - INFO - Epoch(train) [248][10/79] lr: 5.6877e-03 eta: 4:52:16 time: 0.3673 data_time: 0.1491 memory: 1833 loss: 1.2050 loss_prob: 0.6563 loss_thr: 0.4336 loss_db: 0.1152 2022/12/19 21:29:59 - mmengine - INFO - Epoch(train) [248][15/79] lr: 5.6877e-03 eta: 4:52:16 time: 0.2415 data_time: 0.0008 memory: 1833 loss: 1.1713 loss_prob: 0.6357 loss_thr: 0.4256 loss_db: 0.1099 2022/12/19 21:30:00 - mmengine - INFO - Epoch(train) [248][20/79] lr: 5.6877e-03 eta: 4:52:14 time: 0.2296 data_time: 0.0009 memory: 1833 loss: 1.2499 loss_prob: 0.6891 loss_thr: 0.4412 loss_db: 0.1195 2022/12/19 21:30:01 - mmengine - INFO - Epoch(train) [248][25/79] lr: 5.6877e-03 eta: 4:52:12 time: 0.2127 data_time: 0.0009 memory: 1833 loss: 1.3025 loss_prob: 0.7224 loss_thr: 0.4556 loss_db: 0.1245 2022/12/19 21:30:02 - mmengine - INFO - Epoch(train) [248][30/79] lr: 5.6877e-03 eta: 4:52:10 time: 0.2075 data_time: 0.0008 memory: 1833 loss: 1.2168 loss_prob: 0.6692 loss_thr: 0.4327 loss_db: 0.1150 2022/12/19 21:30:04 - mmengine - INFO - Epoch(train) [248][35/79] lr: 5.6877e-03 eta: 4:52:09 time: 0.2080 data_time: 0.0008 memory: 1833 loss: 1.2705 loss_prob: 0.7040 loss_thr: 0.4445 loss_db: 0.1220 2022/12/19 21:30:05 - mmengine - INFO - Epoch(train) [248][40/79] lr: 5.6877e-03 eta: 4:52:08 time: 0.2255 data_time: 0.0008 memory: 1833 loss: 1.3359 loss_prob: 0.7562 loss_thr: 0.4486 loss_db: 0.1311 2022/12/19 21:30:06 - mmengine - INFO - Epoch(train) [248][45/79] lr: 5.6877e-03 eta: 4:52:06 time: 0.2152 data_time: 0.0008 memory: 1833 loss: 1.2790 loss_prob: 0.7242 loss_thr: 0.4307 loss_db: 0.1242 2022/12/19 21:30:07 - mmengine - INFO - Epoch(train) [248][50/79] lr: 5.6877e-03 eta: 4:52:05 time: 0.2245 data_time: 0.0007 memory: 1833 loss: 1.2300 loss_prob: 0.6752 loss_thr: 0.4359 loss_db: 0.1190 2022/12/19 21:30:08 - mmengine - INFO - Epoch(train) [248][55/79] lr: 5.6877e-03 eta: 4:52:03 time: 0.2165 data_time: 0.0006 memory: 1833 loss: 1.1849 loss_prob: 0.6491 loss_thr: 0.4217 loss_db: 0.1141 2022/12/19 21:30:09 - mmengine - INFO - Epoch(train) [248][60/79] lr: 5.6877e-03 eta: 4:52:01 time: 0.1906 data_time: 0.0006 memory: 1833 loss: 1.2085 loss_prob: 0.6617 loss_thr: 0.4324 loss_db: 0.1144 2022/12/19 21:30:10 - mmengine - INFO - Epoch(train) [248][65/79] lr: 5.6877e-03 eta: 4:52:00 time: 0.2019 data_time: 0.0006 memory: 1833 loss: 1.2733 loss_prob: 0.6890 loss_thr: 0.4650 loss_db: 0.1193 2022/12/19 21:30:11 - mmengine - INFO - Epoch(train) [248][70/79] lr: 5.6877e-03 eta: 4:51:59 time: 0.2360 data_time: 0.0007 memory: 1833 loss: 1.3151 loss_prob: 0.7239 loss_thr: 0.4658 loss_db: 0.1253 2022/12/19 21:30:12 - mmengine - INFO - Epoch(train) [248][75/79] lr: 5.6877e-03 eta: 4:51:58 time: 0.2502 data_time: 0.0009 memory: 1833 loss: 1.3162 loss_prob: 0.7352 loss_thr: 0.4504 loss_db: 0.1305 2022/12/19 21:30:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:30:15 - mmengine - INFO - Epoch(train) [249][5/79] lr: 5.6823e-03 eta: 4:51:59 time: 0.3181 data_time: 0.0338 memory: 1833 loss: 1.1278 loss_prob: 0.6107 loss_thr: 0.4101 loss_db: 0.1069 2022/12/19 21:30:16 - mmengine - INFO - Epoch(train) [249][10/79] lr: 5.6823e-03 eta: 4:51:57 time: 0.3082 data_time: 0.0339 memory: 1833 loss: 1.2199 loss_prob: 0.6759 loss_thr: 0.4261 loss_db: 0.1180 2022/12/19 21:30:17 - mmengine - INFO - Epoch(train) [249][15/79] lr: 5.6823e-03 eta: 4:51:56 time: 0.1999 data_time: 0.0009 memory: 1833 loss: 1.2400 loss_prob: 0.6902 loss_thr: 0.4283 loss_db: 0.1215 2022/12/19 21:30:19 - mmengine - INFO - Epoch(train) [249][20/79] lr: 5.6823e-03 eta: 4:51:55 time: 0.2270 data_time: 0.0009 memory: 1833 loss: 1.2000 loss_prob: 0.6540 loss_thr: 0.4298 loss_db: 0.1161 2022/12/19 21:30:20 - mmengine - INFO - Epoch(train) [249][25/79] lr: 5.6823e-03 eta: 4:51:54 time: 0.2375 data_time: 0.0009 memory: 1833 loss: 1.1915 loss_prob: 0.6532 loss_thr: 0.4243 loss_db: 0.1140 2022/12/19 21:30:21 - mmengine - INFO - Epoch(train) [249][30/79] lr: 5.6823e-03 eta: 4:51:52 time: 0.2306 data_time: 0.0008 memory: 1833 loss: 1.2345 loss_prob: 0.6818 loss_thr: 0.4367 loss_db: 0.1160 2022/12/19 21:30:22 - mmengine - INFO - Epoch(train) [249][35/79] lr: 5.6823e-03 eta: 4:51:51 time: 0.2294 data_time: 0.0009 memory: 1833 loss: 1.2433 loss_prob: 0.6868 loss_thr: 0.4365 loss_db: 0.1200 2022/12/19 21:30:23 - mmengine - INFO - Epoch(train) [249][40/79] lr: 5.6823e-03 eta: 4:51:50 time: 0.2227 data_time: 0.0009 memory: 1833 loss: 1.3918 loss_prob: 0.7862 loss_thr: 0.4684 loss_db: 0.1372 2022/12/19 21:30:24 - mmengine - INFO - Epoch(train) [249][45/79] lr: 5.6823e-03 eta: 4:51:48 time: 0.2209 data_time: 0.0008 memory: 1833 loss: 1.3008 loss_prob: 0.7216 loss_thr: 0.4547 loss_db: 0.1244 2022/12/19 21:30:25 - mmengine - INFO - Epoch(train) [249][50/79] lr: 5.6823e-03 eta: 4:51:47 time: 0.2220 data_time: 0.0007 memory: 1833 loss: 1.1892 loss_prob: 0.6459 loss_thr: 0.4297 loss_db: 0.1137 2022/12/19 21:30:26 - mmengine - INFO - Epoch(train) [249][55/79] lr: 5.6823e-03 eta: 4:51:46 time: 0.2183 data_time: 0.0006 memory: 1833 loss: 1.1421 loss_prob: 0.6167 loss_thr: 0.4167 loss_db: 0.1087 2022/12/19 21:30:28 - mmengine - INFO - Epoch(train) [249][60/79] lr: 5.6823e-03 eta: 4:51:44 time: 0.2202 data_time: 0.0008 memory: 1833 loss: 1.2260 loss_prob: 0.6607 loss_thr: 0.4490 loss_db: 0.1162 2022/12/19 21:30:29 - mmengine - INFO - Epoch(train) [249][65/79] lr: 5.6823e-03 eta: 4:51:43 time: 0.2264 data_time: 0.0009 memory: 1833 loss: 1.3582 loss_prob: 0.7539 loss_thr: 0.4732 loss_db: 0.1311 2022/12/19 21:30:30 - mmengine - INFO - Epoch(train) [249][70/79] lr: 5.6823e-03 eta: 4:51:42 time: 0.2318 data_time: 0.0008 memory: 1833 loss: 1.2882 loss_prob: 0.7124 loss_thr: 0.4541 loss_db: 0.1216 2022/12/19 21:30:31 - mmengine - INFO - Epoch(train) [249][75/79] lr: 5.6823e-03 eta: 4:51:40 time: 0.2160 data_time: 0.0007 memory: 1833 loss: 1.3824 loss_prob: 0.7610 loss_thr: 0.4907 loss_db: 0.1307 2022/12/19 21:30:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:30:34 - mmengine - INFO - Epoch(train) [250][5/79] lr: 5.6769e-03 eta: 4:51:41 time: 0.2970 data_time: 0.0710 memory: 1833 loss: 1.1901 loss_prob: 0.6569 loss_thr: 0.4164 loss_db: 0.1169 2022/12/19 21:30:35 - mmengine - INFO - Epoch(train) [250][10/79] lr: 5.6769e-03 eta: 4:51:39 time: 0.3077 data_time: 0.0712 memory: 1833 loss: 1.2362 loss_prob: 0.6771 loss_thr: 0.4408 loss_db: 0.1183 2022/12/19 21:30:36 - mmengine - INFO - Epoch(train) [250][15/79] lr: 5.6769e-03 eta: 4:51:38 time: 0.2323 data_time: 0.0009 memory: 1833 loss: 1.2902 loss_prob: 0.7105 loss_thr: 0.4558 loss_db: 0.1239 2022/12/19 21:30:37 - mmengine - INFO - Epoch(train) [250][20/79] lr: 5.6769e-03 eta: 4:51:37 time: 0.2248 data_time: 0.0009 memory: 1833 loss: 1.2409 loss_prob: 0.6837 loss_thr: 0.4369 loss_db: 0.1204 2022/12/19 21:30:38 - mmengine - INFO - Epoch(train) [250][25/79] lr: 5.6769e-03 eta: 4:51:35 time: 0.2183 data_time: 0.0008 memory: 1833 loss: 1.1539 loss_prob: 0.6279 loss_thr: 0.4170 loss_db: 0.1089 2022/12/19 21:30:39 - mmengine - INFO - Epoch(train) [250][30/79] lr: 5.6769e-03 eta: 4:51:34 time: 0.2173 data_time: 0.0008 memory: 1833 loss: 1.2546 loss_prob: 0.6921 loss_thr: 0.4446 loss_db: 0.1180 2022/12/19 21:30:40 - mmengine - INFO - Epoch(train) [250][35/79] lr: 5.6769e-03 eta: 4:51:32 time: 0.2148 data_time: 0.0008 memory: 1833 loss: 1.1918 loss_prob: 0.6537 loss_thr: 0.4236 loss_db: 0.1144 2022/12/19 21:30:42 - mmengine - INFO - Epoch(train) [250][40/79] lr: 5.6769e-03 eta: 4:51:31 time: 0.2274 data_time: 0.0008 memory: 1833 loss: 1.4052 loss_prob: 0.8195 loss_thr: 0.4539 loss_db: 0.1318 2022/12/19 21:30:43 - mmengine - INFO - Epoch(train) [250][45/79] lr: 5.6769e-03 eta: 4:51:30 time: 0.2375 data_time: 0.0007 memory: 1833 loss: 1.4239 loss_prob: 0.8320 loss_thr: 0.4589 loss_db: 0.1329 2022/12/19 21:30:44 - mmengine - INFO - Epoch(train) [250][50/79] lr: 5.6769e-03 eta: 4:51:29 time: 0.2412 data_time: 0.0009 memory: 1833 loss: 1.0893 loss_prob: 0.5835 loss_thr: 0.4030 loss_db: 0.1027 2022/12/19 21:30:45 - mmengine - INFO - Epoch(train) [250][55/79] lr: 5.6769e-03 eta: 4:51:28 time: 0.2283 data_time: 0.0009 memory: 1833 loss: 1.2220 loss_prob: 0.6598 loss_thr: 0.4469 loss_db: 0.1153 2022/12/19 21:30:46 - mmengine - INFO - Epoch(train) [250][60/79] lr: 5.6769e-03 eta: 4:51:27 time: 0.2315 data_time: 0.0008 memory: 1833 loss: 1.2711 loss_prob: 0.6982 loss_thr: 0.4515 loss_db: 0.1214 2022/12/19 21:30:47 - mmengine - INFO - Epoch(train) [250][65/79] lr: 5.6769e-03 eta: 4:51:25 time: 0.2313 data_time: 0.0007 memory: 1833 loss: 1.1954 loss_prob: 0.6567 loss_thr: 0.4250 loss_db: 0.1137 2022/12/19 21:30:48 - mmengine - INFO - Epoch(train) [250][70/79] lr: 5.6769e-03 eta: 4:51:24 time: 0.2170 data_time: 0.0007 memory: 1833 loss: 1.2686 loss_prob: 0.6905 loss_thr: 0.4570 loss_db: 0.1211 2022/12/19 21:30:50 - mmengine - INFO - Epoch(train) [250][75/79] lr: 5.6769e-03 eta: 4:51:23 time: 0.2304 data_time: 0.0007 memory: 1833 loss: 1.2826 loss_prob: 0.7093 loss_thr: 0.4492 loss_db: 0.1242 2022/12/19 21:30:50 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:30:53 - mmengine - INFO - Epoch(train) [251][5/79] lr: 5.6716e-03 eta: 4:51:24 time: 0.3222 data_time: 0.0488 memory: 1833 loss: 1.2464 loss_prob: 0.6824 loss_thr: 0.4451 loss_db: 0.1189 2022/12/19 21:30:54 - mmengine - INFO - Epoch(train) [251][10/79] lr: 5.6716e-03 eta: 4:51:23 time: 0.3384 data_time: 0.0489 memory: 1833 loss: 1.2916 loss_prob: 0.7015 loss_thr: 0.4679 loss_db: 0.1222 2022/12/19 21:30:55 - mmengine - INFO - Epoch(train) [251][15/79] lr: 5.6716e-03 eta: 4:51:22 time: 0.2322 data_time: 0.0008 memory: 1833 loss: 1.1954 loss_prob: 0.6555 loss_thr: 0.4267 loss_db: 0.1132 2022/12/19 21:30:56 - mmengine - INFO - Epoch(train) [251][20/79] lr: 5.6716e-03 eta: 4:51:20 time: 0.2153 data_time: 0.0008 memory: 1833 loss: 1.1244 loss_prob: 0.6148 loss_thr: 0.4042 loss_db: 0.1055 2022/12/19 21:30:57 - mmengine - INFO - Epoch(train) [251][25/79] lr: 5.6716e-03 eta: 4:51:18 time: 0.1969 data_time: 0.0008 memory: 1833 loss: 1.1368 loss_prob: 0.6250 loss_thr: 0.4036 loss_db: 0.1082 2022/12/19 21:30:58 - mmengine - INFO - Epoch(train) [251][30/79] lr: 5.6716e-03 eta: 4:51:17 time: 0.2185 data_time: 0.0008 memory: 1833 loss: 1.1793 loss_prob: 0.6557 loss_thr: 0.4099 loss_db: 0.1137 2022/12/19 21:30:59 - mmengine - INFO - Epoch(train) [251][35/79] lr: 5.6716e-03 eta: 4:51:16 time: 0.2280 data_time: 0.0009 memory: 1833 loss: 1.2015 loss_prob: 0.6612 loss_thr: 0.4262 loss_db: 0.1141 2022/12/19 21:31:00 - mmengine - INFO - Epoch(train) [251][40/79] lr: 5.6716e-03 eta: 4:51:14 time: 0.2275 data_time: 0.0010 memory: 1833 loss: 1.2257 loss_prob: 0.6718 loss_thr: 0.4373 loss_db: 0.1165 2022/12/19 21:31:02 - mmengine - INFO - Epoch(train) [251][45/79] lr: 5.6716e-03 eta: 4:51:14 time: 0.2420 data_time: 0.0009 memory: 1833 loss: 1.2974 loss_prob: 0.7194 loss_thr: 0.4545 loss_db: 0.1235 2022/12/19 21:31:03 - mmengine - INFO - Epoch(train) [251][50/79] lr: 5.6716e-03 eta: 4:51:12 time: 0.2319 data_time: 0.0008 memory: 1833 loss: 1.2911 loss_prob: 0.7171 loss_thr: 0.4532 loss_db: 0.1209 2022/12/19 21:31:04 - mmengine - INFO - Epoch(train) [251][55/79] lr: 5.6716e-03 eta: 4:51:10 time: 0.1997 data_time: 0.0007 memory: 1833 loss: 1.3203 loss_prob: 0.7277 loss_thr: 0.4678 loss_db: 0.1248 2022/12/19 21:31:05 - mmengine - INFO - Epoch(train) [251][60/79] lr: 5.6716e-03 eta: 4:51:08 time: 0.1922 data_time: 0.0007 memory: 1833 loss: 1.3230 loss_prob: 0.7307 loss_thr: 0.4646 loss_db: 0.1277 2022/12/19 21:31:06 - mmengine - INFO - Epoch(train) [251][65/79] lr: 5.6716e-03 eta: 4:51:07 time: 0.2097 data_time: 0.0008 memory: 1833 loss: 1.1616 loss_prob: 0.6403 loss_thr: 0.4085 loss_db: 0.1127 2022/12/19 21:31:07 - mmengine - INFO - Epoch(train) [251][70/79] lr: 5.6716e-03 eta: 4:51:05 time: 0.2221 data_time: 0.0008 memory: 1833 loss: 1.0640 loss_prob: 0.5733 loss_thr: 0.3887 loss_db: 0.1020 2022/12/19 21:31:08 - mmengine - INFO - Epoch(train) [251][75/79] lr: 5.6716e-03 eta: 4:51:04 time: 0.2249 data_time: 0.0008 memory: 1833 loss: 1.1673 loss_prob: 0.6364 loss_thr: 0.4188 loss_db: 0.1121 2022/12/19 21:31:09 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:31:11 - mmengine - INFO - Epoch(train) [252][5/79] lr: 5.6662e-03 eta: 4:51:04 time: 0.2867 data_time: 0.0529 memory: 1833 loss: 1.2002 loss_prob: 0.6585 loss_thr: 0.4279 loss_db: 0.1138 2022/12/19 21:31:12 - mmengine - INFO - Epoch(train) [252][10/79] lr: 5.6662e-03 eta: 4:51:03 time: 0.3060 data_time: 0.0529 memory: 1833 loss: 1.2321 loss_prob: 0.6753 loss_thr: 0.4390 loss_db: 0.1178 2022/12/19 21:31:13 - mmengine - INFO - Epoch(train) [252][15/79] lr: 5.6662e-03 eta: 4:51:02 time: 0.2220 data_time: 0.0008 memory: 1833 loss: 1.2507 loss_prob: 0.6901 loss_thr: 0.4401 loss_db: 0.1205 2022/12/19 21:31:14 - mmengine - INFO - Epoch(train) [252][20/79] lr: 5.6662e-03 eta: 4:51:00 time: 0.2175 data_time: 0.0008 memory: 1833 loss: 1.2772 loss_prob: 0.7085 loss_thr: 0.4471 loss_db: 0.1217 2022/12/19 21:31:15 - mmengine - INFO - Epoch(train) [252][25/79] lr: 5.6662e-03 eta: 4:50:59 time: 0.2262 data_time: 0.0008 memory: 1833 loss: 1.3672 loss_prob: 0.7622 loss_thr: 0.4751 loss_db: 0.1300 2022/12/19 21:31:17 - mmengine - INFO - Epoch(train) [252][30/79] lr: 5.6662e-03 eta: 4:50:59 time: 0.2580 data_time: 0.0013 memory: 1833 loss: 1.3591 loss_prob: 0.7660 loss_thr: 0.4633 loss_db: 0.1299 2022/12/19 21:31:18 - mmengine - INFO - Epoch(train) [252][35/79] lr: 5.6662e-03 eta: 4:50:57 time: 0.2463 data_time: 0.0013 memory: 1833 loss: 1.2090 loss_prob: 0.6654 loss_thr: 0.4291 loss_db: 0.1145 2022/12/19 21:31:19 - mmengine - INFO - Epoch(train) [252][40/79] lr: 5.6662e-03 eta: 4:50:56 time: 0.2152 data_time: 0.0008 memory: 1833 loss: 1.1505 loss_prob: 0.6223 loss_thr: 0.4207 loss_db: 0.1076 2022/12/19 21:31:20 - mmengine - INFO - Epoch(train) [252][45/79] lr: 5.6662e-03 eta: 4:50:54 time: 0.2139 data_time: 0.0008 memory: 1833 loss: 1.2804 loss_prob: 0.7104 loss_thr: 0.4483 loss_db: 0.1218 2022/12/19 21:31:21 - mmengine - INFO - Epoch(train) [252][50/79] lr: 5.6662e-03 eta: 4:50:54 time: 0.2464 data_time: 0.0008 memory: 1833 loss: 1.4549 loss_prob: 0.8460 loss_thr: 0.4667 loss_db: 0.1422 2022/12/19 21:31:22 - mmengine - INFO - Epoch(train) [252][55/79] lr: 5.6662e-03 eta: 4:50:52 time: 0.2441 data_time: 0.0007 memory: 1833 loss: 1.2699 loss_prob: 0.7303 loss_thr: 0.4159 loss_db: 0.1237 2022/12/19 21:31:23 - mmengine - INFO - Epoch(train) [252][60/79] lr: 5.6662e-03 eta: 4:50:51 time: 0.2118 data_time: 0.0007 memory: 1833 loss: 1.1297 loss_prob: 0.6140 loss_thr: 0.4083 loss_db: 0.1074 2022/12/19 21:31:24 - mmengine - INFO - Epoch(train) [252][65/79] lr: 5.6662e-03 eta: 4:50:49 time: 0.2009 data_time: 0.0007 memory: 1833 loss: 1.2443 loss_prob: 0.6820 loss_thr: 0.4414 loss_db: 0.1209 2022/12/19 21:31:25 - mmengine - INFO - Epoch(train) [252][70/79] lr: 5.6662e-03 eta: 4:50:47 time: 0.1919 data_time: 0.0007 memory: 1833 loss: 1.3834 loss_prob: 0.7962 loss_thr: 0.4531 loss_db: 0.1340 2022/12/19 21:31:26 - mmengine - INFO - Epoch(train) [252][75/79] lr: 5.6662e-03 eta: 4:50:45 time: 0.1950 data_time: 0.0006 memory: 1833 loss: 1.2724 loss_prob: 0.7293 loss_thr: 0.4213 loss_db: 0.1218 2022/12/19 21:31:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:31:29 - mmengine - INFO - Epoch(train) [253][5/79] lr: 5.6608e-03 eta: 4:50:45 time: 0.2884 data_time: 0.0209 memory: 1833 loss: 1.2186 loss_prob: 0.6825 loss_thr: 0.4159 loss_db: 0.1202 2022/12/19 21:31:30 - mmengine - INFO - Epoch(train) [253][10/79] lr: 5.6608e-03 eta: 4:50:43 time: 0.2980 data_time: 0.0210 memory: 1833 loss: 1.2615 loss_prob: 0.7014 loss_thr: 0.4386 loss_db: 0.1216 2022/12/19 21:31:31 - mmengine - INFO - Epoch(train) [253][15/79] lr: 5.6608e-03 eta: 4:50:43 time: 0.2396 data_time: 0.0009 memory: 1833 loss: 1.2457 loss_prob: 0.6926 loss_thr: 0.4302 loss_db: 0.1229 2022/12/19 21:31:32 - mmengine - INFO - Epoch(train) [253][20/79] lr: 5.6608e-03 eta: 4:50:42 time: 0.2449 data_time: 0.0009 memory: 1833 loss: 1.2603 loss_prob: 0.7093 loss_thr: 0.4272 loss_db: 0.1239 2022/12/19 21:31:33 - mmengine - INFO - Epoch(train) [253][25/79] lr: 5.6608e-03 eta: 4:50:40 time: 0.2151 data_time: 0.0008 memory: 1833 loss: 1.2182 loss_prob: 0.6782 loss_thr: 0.4213 loss_db: 0.1187 2022/12/19 21:31:35 - mmengine - INFO - Epoch(train) [253][30/79] lr: 5.6608e-03 eta: 4:50:39 time: 0.2199 data_time: 0.0008 memory: 1833 loss: 1.2936 loss_prob: 0.7232 loss_thr: 0.4412 loss_db: 0.1292 2022/12/19 21:31:36 - mmengine - INFO - Epoch(train) [253][35/79] lr: 5.6608e-03 eta: 4:50:38 time: 0.2327 data_time: 0.0008 memory: 1833 loss: 1.3022 loss_prob: 0.7318 loss_thr: 0.4412 loss_db: 0.1292 2022/12/19 21:31:37 - mmengine - INFO - Epoch(train) [253][40/79] lr: 5.6608e-03 eta: 4:50:36 time: 0.2239 data_time: 0.0008 memory: 1833 loss: 1.1688 loss_prob: 0.6460 loss_thr: 0.4096 loss_db: 0.1132 2022/12/19 21:31:38 - mmengine - INFO - Epoch(train) [253][45/79] lr: 5.6608e-03 eta: 4:50:34 time: 0.2127 data_time: 0.0008 memory: 1833 loss: 1.2127 loss_prob: 0.6658 loss_thr: 0.4314 loss_db: 0.1155 2022/12/19 21:31:39 - mmengine - INFO - Epoch(train) [253][50/79] lr: 5.6608e-03 eta: 4:50:33 time: 0.2154 data_time: 0.0008 memory: 1833 loss: 1.2852 loss_prob: 0.7171 loss_thr: 0.4433 loss_db: 0.1248 2022/12/19 21:31:40 - mmengine - INFO - Epoch(train) [253][55/79] lr: 5.6608e-03 eta: 4:50:32 time: 0.2194 data_time: 0.0007 memory: 1833 loss: 1.2415 loss_prob: 0.6894 loss_thr: 0.4289 loss_db: 0.1231 2022/12/19 21:31:41 - mmengine - INFO - Epoch(train) [253][60/79] lr: 5.6608e-03 eta: 4:50:30 time: 0.2168 data_time: 0.0007 memory: 1833 loss: 1.2138 loss_prob: 0.6658 loss_thr: 0.4306 loss_db: 0.1174 2022/12/19 21:31:42 - mmengine - INFO - Epoch(train) [253][65/79] lr: 5.6608e-03 eta: 4:50:28 time: 0.1995 data_time: 0.0006 memory: 1833 loss: 1.2720 loss_prob: 0.7100 loss_thr: 0.4396 loss_db: 0.1224 2022/12/19 21:31:43 - mmengine - INFO - Epoch(train) [253][70/79] lr: 5.6608e-03 eta: 4:50:26 time: 0.1793 data_time: 0.0006 memory: 1833 loss: 1.2263 loss_prob: 0.6845 loss_thr: 0.4219 loss_db: 0.1199 2022/12/19 21:31:44 - mmengine - INFO - Epoch(train) [253][75/79] lr: 5.6608e-03 eta: 4:50:24 time: 0.1972 data_time: 0.0007 memory: 1833 loss: 1.2427 loss_prob: 0.6948 loss_thr: 0.4285 loss_db: 0.1194 2022/12/19 21:31:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:31:47 - mmengine - INFO - Epoch(train) [254][5/79] lr: 5.6554e-03 eta: 4:50:25 time: 0.3149 data_time: 0.0643 memory: 1833 loss: 1.2691 loss_prob: 0.6967 loss_thr: 0.4540 loss_db: 0.1184 2022/12/19 21:31:48 - mmengine - INFO - Epoch(train) [254][10/79] lr: 5.6554e-03 eta: 4:50:25 time: 0.3637 data_time: 0.0646 memory: 1833 loss: 1.1961 loss_prob: 0.6450 loss_thr: 0.4397 loss_db: 0.1115 2022/12/19 21:31:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:31:49 - mmengine - INFO - Epoch(train) [254][15/79] lr: 5.6554e-03 eta: 4:50:23 time: 0.2479 data_time: 0.0010 memory: 1833 loss: 1.2079 loss_prob: 0.6497 loss_thr: 0.4476 loss_db: 0.1106 2022/12/19 21:31:51 - mmengine - INFO - Epoch(train) [254][20/79] lr: 5.6554e-03 eta: 4:50:22 time: 0.2219 data_time: 0.0008 memory: 1833 loss: 1.2717 loss_prob: 0.7045 loss_thr: 0.4448 loss_db: 0.1223 2022/12/19 21:31:52 - mmengine - INFO - Epoch(train) [254][25/79] lr: 5.6554e-03 eta: 4:50:21 time: 0.2240 data_time: 0.0008 memory: 1833 loss: 1.2423 loss_prob: 0.6940 loss_thr: 0.4274 loss_db: 0.1210 2022/12/19 21:31:53 - mmengine - INFO - Epoch(train) [254][30/79] lr: 5.6554e-03 eta: 4:50:20 time: 0.2280 data_time: 0.0008 memory: 1833 loss: 1.2170 loss_prob: 0.6756 loss_thr: 0.4221 loss_db: 0.1192 2022/12/19 21:31:54 - mmengine - INFO - Epoch(train) [254][35/79] lr: 5.6554e-03 eta: 4:50:19 time: 0.2410 data_time: 0.0008 memory: 1833 loss: 1.1348 loss_prob: 0.6186 loss_thr: 0.4063 loss_db: 0.1099 2022/12/19 21:31:55 - mmengine - INFO - Epoch(train) [254][40/79] lr: 5.6554e-03 eta: 4:50:17 time: 0.2189 data_time: 0.0008 memory: 1833 loss: 1.1256 loss_prob: 0.6099 loss_thr: 0.4097 loss_db: 0.1060 2022/12/19 21:31:56 - mmengine - INFO - Epoch(train) [254][45/79] lr: 5.6554e-03 eta: 4:50:15 time: 0.2017 data_time: 0.0008 memory: 1833 loss: 1.1740 loss_prob: 0.6308 loss_thr: 0.4322 loss_db: 0.1110 2022/12/19 21:31:57 - mmengine - INFO - Epoch(train) [254][50/79] lr: 5.6554e-03 eta: 4:50:14 time: 0.2040 data_time: 0.0009 memory: 1833 loss: 1.1439 loss_prob: 0.6199 loss_thr: 0.4156 loss_db: 0.1084 2022/12/19 21:31:58 - mmengine - INFO - Epoch(train) [254][55/79] lr: 5.6554e-03 eta: 4:50:12 time: 0.1954 data_time: 0.0008 memory: 1833 loss: 1.1728 loss_prob: 0.6478 loss_thr: 0.4128 loss_db: 0.1122 2022/12/19 21:31:59 - mmengine - INFO - Epoch(train) [254][60/79] lr: 5.6554e-03 eta: 4:50:10 time: 0.2120 data_time: 0.0007 memory: 1833 loss: 1.2733 loss_prob: 0.7094 loss_thr: 0.4399 loss_db: 0.1240 2022/12/19 21:32:00 - mmengine - INFO - Epoch(train) [254][65/79] lr: 5.6554e-03 eta: 4:50:09 time: 0.2152 data_time: 0.0007 memory: 1833 loss: 1.3090 loss_prob: 0.7368 loss_thr: 0.4441 loss_db: 0.1281 2022/12/19 21:32:01 - mmengine - INFO - Epoch(train) [254][70/79] lr: 5.6554e-03 eta: 4:50:07 time: 0.2070 data_time: 0.0011 memory: 1833 loss: 1.1615 loss_prob: 0.6451 loss_thr: 0.4014 loss_db: 0.1150 2022/12/19 21:32:02 - mmengine - INFO - Epoch(train) [254][75/79] lr: 5.6554e-03 eta: 4:50:05 time: 0.2106 data_time: 0.0010 memory: 1833 loss: 1.1595 loss_prob: 0.6477 loss_thr: 0.3973 loss_db: 0.1145 2022/12/19 21:32:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:32:05 - mmengine - INFO - Epoch(train) [255][5/79] lr: 5.6500e-03 eta: 4:50:07 time: 0.3197 data_time: 0.0707 memory: 1833 loss: 1.1322 loss_prob: 0.6134 loss_thr: 0.4124 loss_db: 0.1065 2022/12/19 21:32:06 - mmengine - INFO - Epoch(train) [255][10/79] lr: 5.6500e-03 eta: 4:50:05 time: 0.2945 data_time: 0.0706 memory: 1833 loss: 1.2758 loss_prob: 0.7049 loss_thr: 0.4517 loss_db: 0.1192 2022/12/19 21:32:07 - mmengine - INFO - Epoch(train) [255][15/79] lr: 5.6500e-03 eta: 4:50:04 time: 0.2213 data_time: 0.0008 memory: 1833 loss: 1.4291 loss_prob: 0.7957 loss_thr: 0.4961 loss_db: 0.1373 2022/12/19 21:32:09 - mmengine - INFO - Epoch(train) [255][20/79] lr: 5.6500e-03 eta: 4:50:02 time: 0.2265 data_time: 0.0008 memory: 1833 loss: 1.3609 loss_prob: 0.7632 loss_thr: 0.4646 loss_db: 0.1330 2022/12/19 21:32:10 - mmengine - INFO - Epoch(train) [255][25/79] lr: 5.6500e-03 eta: 4:50:01 time: 0.2332 data_time: 0.0008 memory: 1833 loss: 1.2548 loss_prob: 0.7006 loss_thr: 0.4328 loss_db: 0.1214 2022/12/19 21:32:11 - mmengine - INFO - Epoch(train) [255][30/79] lr: 5.6500e-03 eta: 4:50:00 time: 0.2281 data_time: 0.0008 memory: 1833 loss: 1.1857 loss_prob: 0.6662 loss_thr: 0.4038 loss_db: 0.1157 2022/12/19 21:32:12 - mmengine - INFO - Epoch(train) [255][35/79] lr: 5.6500e-03 eta: 4:49:58 time: 0.2062 data_time: 0.0008 memory: 1833 loss: 1.2978 loss_prob: 0.7424 loss_thr: 0.4269 loss_db: 0.1285 2022/12/19 21:32:13 - mmengine - INFO - Epoch(train) [255][40/79] lr: 5.6500e-03 eta: 4:49:56 time: 0.2002 data_time: 0.0008 memory: 1833 loss: 1.2318 loss_prob: 0.6995 loss_thr: 0.4107 loss_db: 0.1216 2022/12/19 21:32:14 - mmengine - INFO - Epoch(train) [255][45/79] lr: 5.6500e-03 eta: 4:49:55 time: 0.2228 data_time: 0.0008 memory: 1833 loss: 1.0541 loss_prob: 0.5792 loss_thr: 0.3757 loss_db: 0.0993 2022/12/19 21:32:15 - mmengine - INFO - Epoch(train) [255][50/79] lr: 5.6500e-03 eta: 4:49:54 time: 0.2320 data_time: 0.0007 memory: 1833 loss: 1.1488 loss_prob: 0.6226 loss_thr: 0.4191 loss_db: 0.1071 2022/12/19 21:32:16 - mmengine - INFO - Epoch(train) [255][55/79] lr: 5.6500e-03 eta: 4:49:53 time: 0.2194 data_time: 0.0007 memory: 1833 loss: 1.3198 loss_prob: 0.7319 loss_thr: 0.4633 loss_db: 0.1246 2022/12/19 21:32:17 - mmengine - INFO - Epoch(train) [255][60/79] lr: 5.6500e-03 eta: 4:49:51 time: 0.2142 data_time: 0.0006 memory: 1833 loss: 1.3914 loss_prob: 0.7813 loss_thr: 0.4765 loss_db: 0.1336 2022/12/19 21:32:19 - mmengine - INFO - Epoch(train) [255][65/79] lr: 5.6500e-03 eta: 4:49:50 time: 0.2287 data_time: 0.0007 memory: 1833 loss: 1.2570 loss_prob: 0.6946 loss_thr: 0.4398 loss_db: 0.1226 2022/12/19 21:32:20 - mmengine - INFO - Epoch(train) [255][70/79] lr: 5.6500e-03 eta: 4:49:50 time: 0.2572 data_time: 0.0009 memory: 1833 loss: 1.2295 loss_prob: 0.6685 loss_thr: 0.4412 loss_db: 0.1198 2022/12/19 21:32:21 - mmengine - INFO - Epoch(train) [255][75/79] lr: 5.6500e-03 eta: 4:49:47 time: 0.2227 data_time: 0.0008 memory: 1833 loss: 1.3607 loss_prob: 0.7575 loss_thr: 0.4701 loss_db: 0.1330 2022/12/19 21:32:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:32:24 - mmengine - INFO - Epoch(train) [256][5/79] lr: 5.6447e-03 eta: 4:49:50 time: 0.3451 data_time: 0.0506 memory: 1833 loss: 1.4884 loss_prob: 0.8816 loss_thr: 0.4656 loss_db: 0.1411 2022/12/19 21:32:25 - mmengine - INFO - Epoch(train) [256][10/79] lr: 5.6447e-03 eta: 4:49:49 time: 0.3682 data_time: 0.0507 memory: 1833 loss: 1.2241 loss_prob: 0.6857 loss_thr: 0.4185 loss_db: 0.1200 2022/12/19 21:32:26 - mmengine - INFO - Epoch(train) [256][15/79] lr: 5.6447e-03 eta: 4:49:48 time: 0.2388 data_time: 0.0009 memory: 1833 loss: 1.2039 loss_prob: 0.6623 loss_thr: 0.4257 loss_db: 0.1159 2022/12/19 21:32:27 - mmengine - INFO - Epoch(train) [256][20/79] lr: 5.6447e-03 eta: 4:49:46 time: 0.2097 data_time: 0.0009 memory: 1833 loss: 1.2649 loss_prob: 0.6967 loss_thr: 0.4476 loss_db: 0.1206 2022/12/19 21:32:28 - mmengine - INFO - Epoch(train) [256][25/79] lr: 5.6447e-03 eta: 4:49:44 time: 0.1960 data_time: 0.0008 memory: 1833 loss: 1.3598 loss_prob: 0.7587 loss_thr: 0.4713 loss_db: 0.1298 2022/12/19 21:32:29 - mmengine - INFO - Epoch(train) [256][30/79] lr: 5.6447e-03 eta: 4:49:42 time: 0.2000 data_time: 0.0008 memory: 1833 loss: 1.2973 loss_prob: 0.7177 loss_thr: 0.4547 loss_db: 0.1249 2022/12/19 21:32:30 - mmengine - INFO - Epoch(train) [256][35/79] lr: 5.6447e-03 eta: 4:49:41 time: 0.2060 data_time: 0.0008 memory: 1833 loss: 1.2427 loss_prob: 0.6900 loss_thr: 0.4307 loss_db: 0.1219 2022/12/19 21:32:32 - mmengine - INFO - Epoch(train) [256][40/79] lr: 5.6447e-03 eta: 4:49:39 time: 0.2141 data_time: 0.0008 memory: 1833 loss: 1.3166 loss_prob: 0.7514 loss_thr: 0.4365 loss_db: 0.1287 2022/12/19 21:32:33 - mmengine - INFO - Epoch(train) [256][45/79] lr: 5.6447e-03 eta: 4:49:38 time: 0.2318 data_time: 0.0015 memory: 1833 loss: 1.3927 loss_prob: 0.7919 loss_thr: 0.4652 loss_db: 0.1356 2022/12/19 21:32:34 - mmengine - INFO - Epoch(train) [256][50/79] lr: 5.6447e-03 eta: 4:49:36 time: 0.2220 data_time: 0.0015 memory: 1833 loss: 1.3053 loss_prob: 0.7355 loss_thr: 0.4406 loss_db: 0.1292 2022/12/19 21:32:35 - mmengine - INFO - Epoch(train) [256][55/79] lr: 5.6447e-03 eta: 4:49:36 time: 0.2458 data_time: 0.0008 memory: 1833 loss: 1.2223 loss_prob: 0.6891 loss_thr: 0.4111 loss_db: 0.1220 2022/12/19 21:32:36 - mmengine - INFO - Epoch(train) [256][60/79] lr: 5.6447e-03 eta: 4:49:35 time: 0.2618 data_time: 0.0008 memory: 1833 loss: 1.2718 loss_prob: 0.7047 loss_thr: 0.4439 loss_db: 0.1233 2022/12/19 21:32:37 - mmengine - INFO - Epoch(train) [256][65/79] lr: 5.6447e-03 eta: 4:49:33 time: 0.2163 data_time: 0.0007 memory: 1833 loss: 1.3725 loss_prob: 0.7498 loss_thr: 0.4944 loss_db: 0.1282 2022/12/19 21:32:39 - mmengine - INFO - Epoch(train) [256][70/79] lr: 5.6447e-03 eta: 4:49:32 time: 0.2155 data_time: 0.0008 memory: 1833 loss: 1.3402 loss_prob: 0.7381 loss_thr: 0.4761 loss_db: 0.1259 2022/12/19 21:32:40 - mmengine - INFO - Epoch(train) [256][75/79] lr: 5.6447e-03 eta: 4:49:31 time: 0.2394 data_time: 0.0009 memory: 1833 loss: 1.3469 loss_prob: 0.7531 loss_thr: 0.4648 loss_db: 0.1289 2022/12/19 21:32:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:32:43 - mmengine - INFO - Epoch(train) [257][5/79] lr: 5.6393e-03 eta: 4:49:32 time: 0.2977 data_time: 0.0303 memory: 1833 loss: 1.2200 loss_prob: 0.6697 loss_thr: 0.4328 loss_db: 0.1175 2022/12/19 21:32:44 - mmengine - INFO - Epoch(train) [257][10/79] lr: 5.6393e-03 eta: 4:49:30 time: 0.3107 data_time: 0.0303 memory: 1833 loss: 1.2806 loss_prob: 0.7132 loss_thr: 0.4437 loss_db: 0.1237 2022/12/19 21:32:45 - mmengine - INFO - Epoch(train) [257][15/79] lr: 5.6393e-03 eta: 4:49:29 time: 0.2209 data_time: 0.0008 memory: 1833 loss: 1.2451 loss_prob: 0.6933 loss_thr: 0.4316 loss_db: 0.1202 2022/12/19 21:32:46 - mmengine - INFO - Epoch(train) [257][20/79] lr: 5.6393e-03 eta: 4:49:28 time: 0.2255 data_time: 0.0008 memory: 1833 loss: 1.1566 loss_prob: 0.6366 loss_thr: 0.4103 loss_db: 0.1097 2022/12/19 21:32:47 - mmengine - INFO - Epoch(train) [257][25/79] lr: 5.6393e-03 eta: 4:49:26 time: 0.2247 data_time: 0.0008 memory: 1833 loss: 1.1682 loss_prob: 0.6422 loss_thr: 0.4161 loss_db: 0.1099 2022/12/19 21:32:48 - mmengine - INFO - Epoch(train) [257][30/79] lr: 5.6393e-03 eta: 4:49:24 time: 0.2039 data_time: 0.0010 memory: 1833 loss: 1.2234 loss_prob: 0.6867 loss_thr: 0.4215 loss_db: 0.1153 2022/12/19 21:32:49 - mmengine - INFO - Epoch(train) [257][35/79] lr: 5.6393e-03 eta: 4:49:23 time: 0.2105 data_time: 0.0010 memory: 1833 loss: 1.3231 loss_prob: 0.7511 loss_thr: 0.4450 loss_db: 0.1270 2022/12/19 21:32:50 - mmengine - INFO - Epoch(train) [257][40/79] lr: 5.6393e-03 eta: 4:49:22 time: 0.2293 data_time: 0.0008 memory: 1833 loss: 1.4072 loss_prob: 0.7990 loss_thr: 0.4702 loss_db: 0.1380 2022/12/19 21:32:52 - mmengine - INFO - Epoch(train) [257][45/79] lr: 5.6393e-03 eta: 4:49:22 time: 0.2666 data_time: 0.0009 memory: 1833 loss: 1.4077 loss_prob: 0.7899 loss_thr: 0.4786 loss_db: 0.1391 2022/12/19 21:32:53 - mmengine - INFO - Epoch(train) [257][50/79] lr: 5.6393e-03 eta: 4:49:21 time: 0.2649 data_time: 0.0009 memory: 1833 loss: 1.3415 loss_prob: 0.7421 loss_thr: 0.4691 loss_db: 0.1302 2022/12/19 21:32:54 - mmengine - INFO - Epoch(train) [257][55/79] lr: 5.6393e-03 eta: 4:49:19 time: 0.2237 data_time: 0.0008 memory: 1833 loss: 1.1984 loss_prob: 0.6507 loss_thr: 0.4358 loss_db: 0.1119 2022/12/19 21:32:55 - mmengine - INFO - Epoch(train) [257][60/79] lr: 5.6393e-03 eta: 4:49:18 time: 0.2189 data_time: 0.0007 memory: 1833 loss: 1.2168 loss_prob: 0.6636 loss_thr: 0.4371 loss_db: 0.1161 2022/12/19 21:32:56 - mmengine - INFO - Epoch(train) [257][65/79] lr: 5.6393e-03 eta: 4:49:16 time: 0.2142 data_time: 0.0007 memory: 1833 loss: 1.4229 loss_prob: 0.7764 loss_thr: 0.5128 loss_db: 0.1337 2022/12/19 21:32:57 - mmengine - INFO - Epoch(train) [257][70/79] lr: 5.6393e-03 eta: 4:49:15 time: 0.2288 data_time: 0.0008 memory: 1833 loss: 1.3940 loss_prob: 0.7505 loss_thr: 0.5143 loss_db: 0.1291 2022/12/19 21:32:58 - mmengine - INFO - Epoch(train) [257][75/79] lr: 5.6393e-03 eta: 4:49:13 time: 0.2180 data_time: 0.0008 memory: 1833 loss: 1.2756 loss_prob: 0.6947 loss_thr: 0.4599 loss_db: 0.1210 2022/12/19 21:32:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:33:01 - mmengine - INFO - Epoch(train) [258][5/79] lr: 5.6339e-03 eta: 4:49:14 time: 0.2931 data_time: 0.0339 memory: 1833 loss: 1.0985 loss_prob: 0.5938 loss_thr: 0.4008 loss_db: 0.1039 2022/12/19 21:33:02 - mmengine - INFO - Epoch(train) [258][10/79] lr: 5.6339e-03 eta: 4:49:13 time: 0.3190 data_time: 0.0339 memory: 1833 loss: 1.1163 loss_prob: 0.6023 loss_thr: 0.4094 loss_db: 0.1045 2022/12/19 21:33:03 - mmengine - INFO - Epoch(train) [258][15/79] lr: 5.6339e-03 eta: 4:49:11 time: 0.2296 data_time: 0.0008 memory: 1833 loss: 1.2629 loss_prob: 0.7122 loss_thr: 0.4274 loss_db: 0.1233 2022/12/19 21:33:04 - mmengine - INFO - Epoch(train) [258][20/79] lr: 5.6339e-03 eta: 4:49:10 time: 0.2167 data_time: 0.0008 memory: 1833 loss: 1.2287 loss_prob: 0.6892 loss_thr: 0.4187 loss_db: 0.1208 2022/12/19 21:33:05 - mmengine - INFO - Epoch(train) [258][25/79] lr: 5.6339e-03 eta: 4:49:08 time: 0.2089 data_time: 0.0008 memory: 1833 loss: 1.1118 loss_prob: 0.5997 loss_thr: 0.4051 loss_db: 0.1071 2022/12/19 21:33:07 - mmengine - INFO - Epoch(train) [258][30/79] lr: 5.6339e-03 eta: 4:49:07 time: 0.2250 data_time: 0.0007 memory: 1833 loss: 1.1787 loss_prob: 0.6379 loss_thr: 0.4285 loss_db: 0.1123 2022/12/19 21:33:08 - mmengine - INFO - Epoch(train) [258][35/79] lr: 5.6339e-03 eta: 4:49:06 time: 0.2350 data_time: 0.0010 memory: 1833 loss: 1.1282 loss_prob: 0.6134 loss_thr: 0.4060 loss_db: 0.1088 2022/12/19 21:33:09 - mmengine - INFO - Epoch(train) [258][40/79] lr: 5.6339e-03 eta: 4:49:04 time: 0.2196 data_time: 0.0010 memory: 1833 loss: 1.1961 loss_prob: 0.6566 loss_thr: 0.4257 loss_db: 0.1138 2022/12/19 21:33:10 - mmengine - INFO - Epoch(train) [258][45/79] lr: 5.6339e-03 eta: 4:49:03 time: 0.2282 data_time: 0.0009 memory: 1833 loss: 1.3911 loss_prob: 0.7787 loss_thr: 0.4802 loss_db: 0.1321 2022/12/19 21:33:11 - mmengine - INFO - Epoch(train) [258][50/79] lr: 5.6339e-03 eta: 4:49:02 time: 0.2294 data_time: 0.0008 memory: 1833 loss: 1.3500 loss_prob: 0.7565 loss_thr: 0.4634 loss_db: 0.1302 2022/12/19 21:33:12 - mmengine - INFO - Epoch(train) [258][55/79] lr: 5.6339e-03 eta: 4:49:00 time: 0.2110 data_time: 0.0007 memory: 1833 loss: 1.2408 loss_prob: 0.6943 loss_thr: 0.4266 loss_db: 0.1200 2022/12/19 21:33:13 - mmengine - INFO - Epoch(train) [258][60/79] lr: 5.6339e-03 eta: 4:48:59 time: 0.2079 data_time: 0.0007 memory: 1833 loss: 1.1908 loss_prob: 0.6598 loss_thr: 0.4163 loss_db: 0.1147 2022/12/19 21:33:14 - mmengine - INFO - Epoch(train) [258][65/79] lr: 5.6339e-03 eta: 4:48:57 time: 0.2017 data_time: 0.0007 memory: 1833 loss: 1.1972 loss_prob: 0.6540 loss_thr: 0.4288 loss_db: 0.1143 2022/12/19 21:33:15 - mmengine - INFO - Epoch(train) [258][70/79] lr: 5.6339e-03 eta: 4:48:56 time: 0.2174 data_time: 0.0007 memory: 1833 loss: 1.2801 loss_prob: 0.7079 loss_thr: 0.4485 loss_db: 0.1238 2022/12/19 21:33:17 - mmengine - INFO - Epoch(train) [258][75/79] lr: 5.6339e-03 eta: 4:48:54 time: 0.2251 data_time: 0.0008 memory: 1833 loss: 1.4314 loss_prob: 0.8209 loss_thr: 0.4702 loss_db: 0.1403 2022/12/19 21:33:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:33:19 - mmengine - INFO - Epoch(train) [259][5/79] lr: 5.6285e-03 eta: 4:48:54 time: 0.2801 data_time: 0.0348 memory: 1833 loss: 1.2583 loss_prob: 0.6916 loss_thr: 0.4466 loss_db: 0.1201 2022/12/19 21:33:20 - mmengine - INFO - Epoch(train) [259][10/79] lr: 5.6285e-03 eta: 4:48:53 time: 0.3102 data_time: 0.0349 memory: 1833 loss: 1.3511 loss_prob: 0.7532 loss_thr: 0.4680 loss_db: 0.1300 2022/12/19 21:33:21 - mmengine - INFO - Epoch(train) [259][15/79] lr: 5.6285e-03 eta: 4:48:51 time: 0.2158 data_time: 0.0007 memory: 1833 loss: 1.3677 loss_prob: 0.7633 loss_thr: 0.4718 loss_db: 0.1325 2022/12/19 21:33:22 - mmengine - INFO - Epoch(train) [259][20/79] lr: 5.6285e-03 eta: 4:48:50 time: 0.2087 data_time: 0.0007 memory: 1833 loss: 1.1604 loss_prob: 0.6392 loss_thr: 0.4088 loss_db: 0.1123 2022/12/19 21:33:24 - mmengine - INFO - Epoch(train) [259][25/79] lr: 5.6285e-03 eta: 4:48:49 time: 0.2463 data_time: 0.0009 memory: 1833 loss: 1.0378 loss_prob: 0.5554 loss_thr: 0.3850 loss_db: 0.0974 2022/12/19 21:33:25 - mmengine - INFO - Epoch(train) [259][30/79] lr: 5.6285e-03 eta: 4:48:48 time: 0.2525 data_time: 0.0010 memory: 1833 loss: 1.2109 loss_prob: 0.6716 loss_thr: 0.4265 loss_db: 0.1127 2022/12/19 21:33:26 - mmengine - INFO - Epoch(train) [259][35/79] lr: 5.6285e-03 eta: 4:48:46 time: 0.2296 data_time: 0.0008 memory: 1833 loss: 1.3101 loss_prob: 0.7403 loss_thr: 0.4443 loss_db: 0.1255 2022/12/19 21:33:27 - mmengine - INFO - Epoch(train) [259][40/79] lr: 5.6285e-03 eta: 4:48:46 time: 0.2416 data_time: 0.0008 memory: 1833 loss: 1.2471 loss_prob: 0.7050 loss_thr: 0.4223 loss_db: 0.1197 2022/12/19 21:33:28 - mmengine - INFO - Epoch(train) [259][45/79] lr: 5.6285e-03 eta: 4:48:44 time: 0.2420 data_time: 0.0008 memory: 1833 loss: 1.2872 loss_prob: 0.7252 loss_thr: 0.4396 loss_db: 0.1224 2022/12/19 21:33:29 - mmengine - INFO - Epoch(train) [259][50/79] lr: 5.6285e-03 eta: 4:48:43 time: 0.2170 data_time: 0.0008 memory: 1833 loss: 1.4383 loss_prob: 0.8092 loss_thr: 0.4922 loss_db: 0.1369 2022/12/19 21:33:30 - mmengine - INFO - Epoch(train) [259][55/79] lr: 5.6285e-03 eta: 4:48:41 time: 0.2027 data_time: 0.0008 memory: 1833 loss: 1.3104 loss_prob: 0.7353 loss_thr: 0.4512 loss_db: 0.1239 2022/12/19 21:33:31 - mmengine - INFO - Epoch(train) [259][60/79] lr: 5.6285e-03 eta: 4:48:39 time: 0.1955 data_time: 0.0007 memory: 1833 loss: 1.1289 loss_prob: 0.6282 loss_thr: 0.3930 loss_db: 0.1077 2022/12/19 21:33:33 - mmengine - INFO - Epoch(train) [259][65/79] lr: 5.6285e-03 eta: 4:48:38 time: 0.2085 data_time: 0.0007 memory: 1833 loss: 1.2196 loss_prob: 0.6888 loss_thr: 0.4130 loss_db: 0.1178 2022/12/19 21:33:34 - mmengine - INFO - Epoch(train) [259][70/79] lr: 5.6285e-03 eta: 4:48:37 time: 0.2240 data_time: 0.0007 memory: 1833 loss: 1.1458 loss_prob: 0.6302 loss_thr: 0.4067 loss_db: 0.1089 2022/12/19 21:33:35 - mmengine - INFO - Epoch(train) [259][75/79] lr: 5.6285e-03 eta: 4:48:36 time: 0.2327 data_time: 0.0006 memory: 1833 loss: 1.3138 loss_prob: 0.7173 loss_thr: 0.4740 loss_db: 0.1225 2022/12/19 21:33:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:33:38 - mmengine - INFO - Epoch(train) [260][5/79] lr: 5.6231e-03 eta: 4:48:36 time: 0.3186 data_time: 0.0377 memory: 1833 loss: 1.1401 loss_prob: 0.6151 loss_thr: 0.4174 loss_db: 0.1075 2022/12/19 21:33:39 - mmengine - INFO - Epoch(train) [260][10/79] lr: 5.6231e-03 eta: 4:48:35 time: 0.3335 data_time: 0.0379 memory: 1833 loss: 1.1139 loss_prob: 0.5891 loss_thr: 0.4208 loss_db: 0.1040 2022/12/19 21:33:40 - mmengine - INFO - Epoch(train) [260][15/79] lr: 5.6231e-03 eta: 4:48:34 time: 0.2451 data_time: 0.0013 memory: 1833 loss: 1.1515 loss_prob: 0.6237 loss_thr: 0.4188 loss_db: 0.1090 2022/12/19 21:33:41 - mmengine - INFO - Epoch(train) [260][20/79] lr: 5.6231e-03 eta: 4:48:32 time: 0.2227 data_time: 0.0013 memory: 1833 loss: 1.1490 loss_prob: 0.6232 loss_thr: 0.4171 loss_db: 0.1087 2022/12/19 21:33:42 - mmengine - INFO - Epoch(train) [260][25/79] lr: 5.6231e-03 eta: 4:48:31 time: 0.2017 data_time: 0.0010 memory: 1833 loss: 1.1185 loss_prob: 0.6112 loss_thr: 0.4018 loss_db: 0.1055 2022/12/19 21:33:43 - mmengine - INFO - Epoch(train) [260][30/79] lr: 5.6231e-03 eta: 4:48:30 time: 0.2150 data_time: 0.0009 memory: 1833 loss: 1.1730 loss_prob: 0.6442 loss_thr: 0.4188 loss_db: 0.1100 2022/12/19 21:33:44 - mmengine - INFO - Epoch(train) [260][35/79] lr: 5.6231e-03 eta: 4:48:28 time: 0.2272 data_time: 0.0008 memory: 1833 loss: 1.2419 loss_prob: 0.6860 loss_thr: 0.4372 loss_db: 0.1187 2022/12/19 21:33:46 - mmengine - INFO - Epoch(train) [260][40/79] lr: 5.6231e-03 eta: 4:48:27 time: 0.2327 data_time: 0.0008 memory: 1833 loss: 1.2562 loss_prob: 0.6913 loss_thr: 0.4442 loss_db: 0.1207 2022/12/19 21:33:47 - mmengine - INFO - Epoch(train) [260][45/79] lr: 5.6231e-03 eta: 4:48:26 time: 0.2306 data_time: 0.0009 memory: 1833 loss: 1.2295 loss_prob: 0.6767 loss_thr: 0.4347 loss_db: 0.1181 2022/12/19 21:33:48 - mmengine - INFO - Epoch(train) [260][50/79] lr: 5.6231e-03 eta: 4:48:25 time: 0.2267 data_time: 0.0008 memory: 1833 loss: 1.1480 loss_prob: 0.6382 loss_thr: 0.3994 loss_db: 0.1104 2022/12/19 21:33:49 - mmengine - INFO - Epoch(train) [260][55/79] lr: 5.6231e-03 eta: 4:48:23 time: 0.2145 data_time: 0.0008 memory: 1833 loss: 1.2188 loss_prob: 0.6800 loss_thr: 0.4237 loss_db: 0.1150 2022/12/19 21:33:50 - mmengine - INFO - Epoch(train) [260][60/79] lr: 5.6231e-03 eta: 4:48:21 time: 0.1873 data_time: 0.0007 memory: 1833 loss: 1.3973 loss_prob: 0.7989 loss_thr: 0.4631 loss_db: 0.1354 2022/12/19 21:33:51 - mmengine - INFO - Epoch(train) [260][65/79] lr: 5.6231e-03 eta: 4:48:19 time: 0.1892 data_time: 0.0006 memory: 1833 loss: 1.2910 loss_prob: 0.7379 loss_thr: 0.4270 loss_db: 0.1262 2022/12/19 21:33:52 - mmengine - INFO - Epoch(train) [260][70/79] lr: 5.6231e-03 eta: 4:48:17 time: 0.2104 data_time: 0.0007 memory: 1833 loss: 1.3057 loss_prob: 0.7352 loss_thr: 0.4442 loss_db: 0.1264 2022/12/19 21:33:53 - mmengine - INFO - Epoch(train) [260][75/79] lr: 5.6231e-03 eta: 4:48:16 time: 0.2205 data_time: 0.0007 memory: 1833 loss: 1.4792 loss_prob: 0.8370 loss_thr: 0.4991 loss_db: 0.1431 2022/12/19 21:33:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:33:54 - mmengine - INFO - Epoch(val) [260][5/75] eta: 0:00:01 time: 0.0270 data_time: 0.0123 memory: 1833 2022/12/19 21:33:54 - mmengine - INFO - Epoch(val) [260][10/75] eta: 0:00:01 time: 0.0198 data_time: 0.0028 memory: 425 2022/12/19 21:33:54 - mmengine - INFO - Epoch(val) [260][15/75] eta: 0:00:01 time: 0.0374 data_time: 0.0006 memory: 425 2022/12/19 21:33:55 - mmengine - INFO - Epoch(val) [260][20/75] eta: 0:00:01 time: 0.0432 data_time: 0.0017 memory: 425 2022/12/19 21:33:55 - mmengine - INFO - Epoch(val) [260][25/75] eta: 0:00:01 time: 0.0451 data_time: 0.0191 memory: 390 2022/12/19 21:33:56 - mmengine - INFO - Epoch(val) [260][30/75] eta: 0:00:02 time: 0.0950 data_time: 0.0610 memory: 390 2022/12/19 21:33:56 - mmengine - INFO - Epoch(val) [260][35/75] eta: 0:00:02 time: 0.0827 data_time: 0.0544 memory: 368 2022/12/19 21:33:56 - mmengine - INFO - Epoch(val) [260][40/75] eta: 0:00:01 time: 0.0423 data_time: 0.0235 memory: 390 2022/12/19 21:33:56 - mmengine - INFO - Epoch(val) [260][45/75] eta: 0:00:01 time: 0.0331 data_time: 0.0124 memory: 425 2022/12/19 21:33:56 - mmengine - INFO - Epoch(val) [260][50/75] eta: 0:00:01 time: 0.0183 data_time: 0.0003 memory: 430 2022/12/19 21:33:56 - mmengine - INFO - Epoch(val) [260][55/75] eta: 0:00:00 time: 0.0210 data_time: 0.0034 memory: 407 2022/12/19 21:33:56 - mmengine - INFO - Epoch(val) [260][60/75] eta: 0:00:00 time: 0.0289 data_time: 0.0034 memory: 390 2022/12/19 21:33:57 - mmengine - INFO - Epoch(val) [260][65/75] eta: 0:00:00 time: 0.0322 data_time: 0.0004 memory: 390 2022/12/19 21:33:57 - mmengine - INFO - Epoch(val) [260][70/75] eta: 0:00:00 time: 0.0381 data_time: 0.0004 memory: 425 2022/12/19 21:33:57 - mmengine - INFO - Epoch(val) [260][75/75] eta: 0:00:00 time: 0.0391 data_time: 0.0088 memory: 368 2022/12/19 21:33:57 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 21:33:57 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7883, precision: 0.6736, hmean: 0.7264 2022/12/19 21:33:57 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7883, precision: 0.7446, hmean: 0.7658 2022/12/19 21:33:57 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7833, precision: 0.7970, hmean: 0.7901 2022/12/19 21:33:57 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7630, precision: 0.8346, hmean: 0.7972 2022/12/19 21:33:57 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6903, precision: 0.8813, hmean: 0.7742 2022/12/19 21:33:57 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3910, precision: 0.9464, hmean: 0.5534 2022/12/19 21:33:57 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0248, precision: 0.9821, hmean: 0.0484 2022/12/19 21:33:57 - mmengine - INFO - Epoch(val) [260][75/75] icdar/precision: 0.8346 icdar/recall: 0.7630 icdar/hmean: 0.7972 2022/12/19 21:33:59 - mmengine - INFO - Epoch(train) [261][5/79] lr: 5.6177e-03 eta: 4:48:17 time: 0.3059 data_time: 0.0301 memory: 1833 loss: 1.2509 loss_prob: 0.7012 loss_thr: 0.4288 loss_db: 0.1208 2022/12/19 21:34:00 - mmengine - INFO - Epoch(train) [261][10/79] lr: 5.6177e-03 eta: 4:48:16 time: 0.3292 data_time: 0.0303 memory: 1833 loss: 1.2839 loss_prob: 0.7191 loss_thr: 0.4393 loss_db: 0.1255 2022/12/19 21:34:01 - mmengine - INFO - Epoch(train) [261][15/79] lr: 5.6177e-03 eta: 4:48:15 time: 0.2541 data_time: 0.0009 memory: 1833 loss: 1.2762 loss_prob: 0.7097 loss_thr: 0.4432 loss_db: 0.1232 2022/12/19 21:34:03 - mmengine - INFO - Epoch(train) [261][20/79] lr: 5.6177e-03 eta: 4:48:14 time: 0.2358 data_time: 0.0008 memory: 1833 loss: 1.2520 loss_prob: 0.6958 loss_thr: 0.4340 loss_db: 0.1222 2022/12/19 21:34:04 - mmengine - INFO - Epoch(train) [261][25/79] lr: 5.6177e-03 eta: 4:48:13 time: 0.2376 data_time: 0.0008 memory: 1833 loss: 1.2730 loss_prob: 0.7123 loss_thr: 0.4378 loss_db: 0.1230 2022/12/19 21:34:05 - mmengine - INFO - Epoch(train) [261][30/79] lr: 5.6177e-03 eta: 4:48:12 time: 0.2398 data_time: 0.0008 memory: 1833 loss: 1.2223 loss_prob: 0.6814 loss_thr: 0.4230 loss_db: 0.1178 2022/12/19 21:34:06 - mmengine - INFO - Epoch(train) [261][35/79] lr: 5.6177e-03 eta: 4:48:11 time: 0.2499 data_time: 0.0008 memory: 1833 loss: 1.1206 loss_prob: 0.6143 loss_thr: 0.3994 loss_db: 0.1070 2022/12/19 21:34:07 - mmengine - INFO - Epoch(train) [261][40/79] lr: 5.6177e-03 eta: 4:48:10 time: 0.2363 data_time: 0.0008 memory: 1833 loss: 1.0698 loss_prob: 0.5848 loss_thr: 0.3813 loss_db: 0.1036 2022/12/19 21:34:08 - mmengine - INFO - Epoch(train) [261][45/79] lr: 5.6177e-03 eta: 4:48:08 time: 0.2054 data_time: 0.0008 memory: 1833 loss: 1.1119 loss_prob: 0.6133 loss_thr: 0.3894 loss_db: 0.1092 2022/12/19 21:34:09 - mmengine - INFO - Epoch(train) [261][50/79] lr: 5.6177e-03 eta: 4:48:07 time: 0.2051 data_time: 0.0007 memory: 1833 loss: 1.1662 loss_prob: 0.6414 loss_thr: 0.4133 loss_db: 0.1116 2022/12/19 21:34:11 - mmengine - INFO - Epoch(train) [261][55/79] lr: 5.6177e-03 eta: 4:48:05 time: 0.2104 data_time: 0.0007 memory: 1833 loss: 1.1055 loss_prob: 0.5996 loss_thr: 0.4015 loss_db: 0.1044 2022/12/19 21:34:12 - mmengine - INFO - Epoch(train) [261][60/79] lr: 5.6177e-03 eta: 4:48:04 time: 0.2296 data_time: 0.0010 memory: 1833 loss: 1.1237 loss_prob: 0.6140 loss_thr: 0.4022 loss_db: 0.1074 2022/12/19 21:34:13 - mmengine - INFO - Epoch(train) [261][65/79] lr: 5.6177e-03 eta: 4:48:03 time: 0.2333 data_time: 0.0011 memory: 1833 loss: 1.1805 loss_prob: 0.6493 loss_thr: 0.4163 loss_db: 0.1149 2022/12/19 21:34:14 - mmengine - INFO - Epoch(train) [261][70/79] lr: 5.6177e-03 eta: 4:48:02 time: 0.2266 data_time: 0.0007 memory: 1833 loss: 1.2257 loss_prob: 0.6765 loss_thr: 0.4314 loss_db: 0.1178 2022/12/19 21:34:15 - mmengine - INFO - Epoch(train) [261][75/79] lr: 5.6177e-03 eta: 4:48:00 time: 0.2279 data_time: 0.0008 memory: 1833 loss: 1.3789 loss_prob: 0.7754 loss_thr: 0.4720 loss_db: 0.1315 2022/12/19 21:34:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:34:18 - mmengine - INFO - Epoch(train) [262][5/79] lr: 5.6124e-03 eta: 4:48:01 time: 0.2995 data_time: 0.0441 memory: 1833 loss: 1.3986 loss_prob: 0.7928 loss_thr: 0.4719 loss_db: 0.1339 2022/12/19 21:34:19 - mmengine - INFO - Epoch(train) [262][10/79] lr: 5.6124e-03 eta: 4:47:59 time: 0.3082 data_time: 0.0441 memory: 1833 loss: 1.2975 loss_prob: 0.7245 loss_thr: 0.4467 loss_db: 0.1264 2022/12/19 21:34:20 - mmengine - INFO - Epoch(train) [262][15/79] lr: 5.6124e-03 eta: 4:47:57 time: 0.2081 data_time: 0.0009 memory: 1833 loss: 1.2045 loss_prob: 0.6600 loss_thr: 0.4281 loss_db: 0.1164 2022/12/19 21:34:21 - mmengine - INFO - Epoch(train) [262][20/79] lr: 5.6124e-03 eta: 4:47:55 time: 0.2019 data_time: 0.0009 memory: 1833 loss: 1.1657 loss_prob: 0.6414 loss_thr: 0.4131 loss_db: 0.1112 2022/12/19 21:34:22 - mmengine - INFO - Epoch(train) [262][25/79] lr: 5.6124e-03 eta: 4:47:54 time: 0.2007 data_time: 0.0008 memory: 1833 loss: 1.2578 loss_prob: 0.7033 loss_thr: 0.4324 loss_db: 0.1220 2022/12/19 21:34:23 - mmengine - INFO - Epoch(train) [262][30/79] lr: 5.6124e-03 eta: 4:47:52 time: 0.2163 data_time: 0.0008 memory: 1833 loss: 1.3001 loss_prob: 0.7173 loss_thr: 0.4577 loss_db: 0.1251 2022/12/19 21:34:24 - mmengine - INFO - Epoch(train) [262][35/79] lr: 5.6124e-03 eta: 4:47:51 time: 0.2192 data_time: 0.0008 memory: 1833 loss: 1.3168 loss_prob: 0.7275 loss_thr: 0.4636 loss_db: 0.1256 2022/12/19 21:34:25 - mmengine - INFO - Epoch(train) [262][40/79] lr: 5.6124e-03 eta: 4:47:50 time: 0.2247 data_time: 0.0008 memory: 1833 loss: 1.4133 loss_prob: 0.7979 loss_thr: 0.4780 loss_db: 0.1374 2022/12/19 21:34:27 - mmengine - INFO - Epoch(train) [262][45/79] lr: 5.6124e-03 eta: 4:47:49 time: 0.2339 data_time: 0.0008 memory: 1833 loss: 1.3037 loss_prob: 0.7327 loss_thr: 0.4448 loss_db: 0.1262 2022/12/19 21:34:28 - mmengine - INFO - Epoch(train) [262][50/79] lr: 5.6124e-03 eta: 4:47:48 time: 0.2390 data_time: 0.0008 memory: 1833 loss: 1.2294 loss_prob: 0.6823 loss_thr: 0.4299 loss_db: 0.1172 2022/12/19 21:34:29 - mmengine - INFO - Epoch(train) [262][55/79] lr: 5.6124e-03 eta: 4:47:46 time: 0.2253 data_time: 0.0007 memory: 1833 loss: 1.3078 loss_prob: 0.7326 loss_thr: 0.4510 loss_db: 0.1242 2022/12/19 21:34:30 - mmengine - INFO - Epoch(train) [262][60/79] lr: 5.6124e-03 eta: 4:47:45 time: 0.2104 data_time: 0.0007 memory: 1833 loss: 1.3393 loss_prob: 0.7536 loss_thr: 0.4583 loss_db: 0.1273 2022/12/19 21:34:31 - mmengine - INFO - Epoch(train) [262][65/79] lr: 5.6124e-03 eta: 4:47:43 time: 0.2070 data_time: 0.0007 memory: 1833 loss: 1.2811 loss_prob: 0.7169 loss_thr: 0.4427 loss_db: 0.1215 2022/12/19 21:34:32 - mmengine - INFO - Epoch(train) [262][70/79] lr: 5.6124e-03 eta: 4:47:41 time: 0.2065 data_time: 0.0007 memory: 1833 loss: 1.1854 loss_prob: 0.6532 loss_thr: 0.4187 loss_db: 0.1135 2022/12/19 21:34:33 - mmengine - INFO - Epoch(train) [262][75/79] lr: 5.6124e-03 eta: 4:47:40 time: 0.2178 data_time: 0.0007 memory: 1833 loss: 1.1553 loss_prob: 0.6383 loss_thr: 0.4072 loss_db: 0.1097 2022/12/19 21:34:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:34:36 - mmengine - INFO - Epoch(train) [263][5/79] lr: 5.6070e-03 eta: 4:47:42 time: 0.3533 data_time: 0.0761 memory: 1833 loss: 1.5183 loss_prob: 0.8671 loss_thr: 0.5105 loss_db: 0.1407 2022/12/19 21:34:38 - mmengine - INFO - Epoch(train) [263][10/79] lr: 5.6070e-03 eta: 4:47:41 time: 0.3745 data_time: 0.0761 memory: 1833 loss: 1.2864 loss_prob: 0.7137 loss_thr: 0.4521 loss_db: 0.1206 2022/12/19 21:34:39 - mmengine - INFO - Epoch(train) [263][15/79] lr: 5.6070e-03 eta: 4:47:40 time: 0.2497 data_time: 0.0009 memory: 1833 loss: 1.2445 loss_prob: 0.6979 loss_thr: 0.4236 loss_db: 0.1230 2022/12/19 21:34:40 - mmengine - INFO - Epoch(train) [263][20/79] lr: 5.6070e-03 eta: 4:47:39 time: 0.2393 data_time: 0.0010 memory: 1833 loss: 1.1985 loss_prob: 0.6702 loss_thr: 0.4099 loss_db: 0.1184 2022/12/19 21:34:41 - mmengine - INFO - Epoch(train) [263][25/79] lr: 5.6070e-03 eta: 4:47:38 time: 0.2272 data_time: 0.0008 memory: 1833 loss: 1.1047 loss_prob: 0.6063 loss_thr: 0.3919 loss_db: 0.1065 2022/12/19 21:34:42 - mmengine - INFO - Epoch(train) [263][30/79] lr: 5.6070e-03 eta: 4:47:37 time: 0.2351 data_time: 0.0008 memory: 1833 loss: 1.1085 loss_prob: 0.5956 loss_thr: 0.4082 loss_db: 0.1048 2022/12/19 21:34:44 - mmengine - INFO - Epoch(train) [263][35/79] lr: 5.6070e-03 eta: 4:47:36 time: 0.2432 data_time: 0.0008 memory: 1833 loss: 1.0498 loss_prob: 0.5519 loss_thr: 0.4038 loss_db: 0.0941 2022/12/19 21:34:45 - mmengine - INFO - Epoch(train) [263][40/79] lr: 5.6070e-03 eta: 4:47:35 time: 0.2388 data_time: 0.0008 memory: 1833 loss: 1.1558 loss_prob: 0.6334 loss_thr: 0.4153 loss_db: 0.1071 2022/12/19 21:34:46 - mmengine - INFO - Epoch(train) [263][45/79] lr: 5.6070e-03 eta: 4:47:33 time: 0.2265 data_time: 0.0008 memory: 1833 loss: 1.3238 loss_prob: 0.7442 loss_thr: 0.4538 loss_db: 0.1259 2022/12/19 21:34:47 - mmengine - INFO - Epoch(train) [263][50/79] lr: 5.6070e-03 eta: 4:47:32 time: 0.2327 data_time: 0.0008 memory: 1833 loss: 1.3857 loss_prob: 0.7834 loss_thr: 0.4688 loss_db: 0.1335 2022/12/19 21:34:48 - mmengine - INFO - Epoch(train) [263][55/79] lr: 5.6070e-03 eta: 4:47:31 time: 0.2381 data_time: 0.0007 memory: 1833 loss: 1.3917 loss_prob: 0.7964 loss_thr: 0.4571 loss_db: 0.1382 2022/12/19 21:34:49 - mmengine - INFO - Epoch(train) [263][60/79] lr: 5.6070e-03 eta: 4:47:30 time: 0.2245 data_time: 0.0007 memory: 1833 loss: 1.2936 loss_prob: 0.7302 loss_thr: 0.4359 loss_db: 0.1275 2022/12/19 21:34:50 - mmengine - INFO - Epoch(train) [263][65/79] lr: 5.6070e-03 eta: 4:47:28 time: 0.2101 data_time: 0.0007 memory: 1833 loss: 1.2178 loss_prob: 0.6610 loss_thr: 0.4397 loss_db: 0.1171 2022/12/19 21:34:51 - mmengine - INFO - Epoch(train) [263][70/79] lr: 5.6070e-03 eta: 4:47:26 time: 0.2070 data_time: 0.0007 memory: 1833 loss: 1.2262 loss_prob: 0.6667 loss_thr: 0.4415 loss_db: 0.1180 2022/12/19 21:34:53 - mmengine - INFO - Epoch(train) [263][75/79] lr: 5.6070e-03 eta: 4:47:25 time: 0.2263 data_time: 0.0007 memory: 1833 loss: 1.2645 loss_prob: 0.6984 loss_thr: 0.4448 loss_db: 0.1212 2022/12/19 21:34:53 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:34:56 - mmengine - INFO - Epoch(train) [264][5/79] lr: 5.6016e-03 eta: 4:47:28 time: 0.3486 data_time: 0.1209 memory: 1833 loss: 1.2843 loss_prob: 0.7087 loss_thr: 0.4532 loss_db: 0.1224 2022/12/19 21:34:57 - mmengine - INFO - Epoch(train) [264][10/79] lr: 5.6016e-03 eta: 4:47:26 time: 0.3847 data_time: 0.1210 memory: 1833 loss: 1.2447 loss_prob: 0.6840 loss_thr: 0.4424 loss_db: 0.1183 2022/12/19 21:34:58 - mmengine - INFO - Epoch(train) [264][15/79] lr: 5.6016e-03 eta: 4:47:25 time: 0.2157 data_time: 0.0008 memory: 1833 loss: 1.2370 loss_prob: 0.6884 loss_thr: 0.4303 loss_db: 0.1183 2022/12/19 21:34:59 - mmengine - INFO - Epoch(train) [264][20/79] lr: 5.6016e-03 eta: 4:47:23 time: 0.2022 data_time: 0.0008 memory: 1833 loss: 1.2327 loss_prob: 0.6930 loss_thr: 0.4210 loss_db: 0.1187 2022/12/19 21:35:00 - mmengine - INFO - Epoch(train) [264][25/79] lr: 5.6016e-03 eta: 4:47:22 time: 0.2235 data_time: 0.0008 memory: 1833 loss: 1.2134 loss_prob: 0.6821 loss_thr: 0.4132 loss_db: 0.1181 2022/12/19 21:35:02 - mmengine - INFO - Epoch(train) [264][30/79] lr: 5.6016e-03 eta: 4:47:21 time: 0.2447 data_time: 0.0008 memory: 1833 loss: 1.2771 loss_prob: 0.7187 loss_thr: 0.4316 loss_db: 0.1268 2022/12/19 21:35:03 - mmengine - INFO - Epoch(train) [264][35/79] lr: 5.6016e-03 eta: 4:47:19 time: 0.2273 data_time: 0.0008 memory: 1833 loss: 1.3070 loss_prob: 0.7361 loss_thr: 0.4429 loss_db: 0.1281 2022/12/19 21:35:04 - mmengine - INFO - Epoch(train) [264][40/79] lr: 5.6016e-03 eta: 4:47:18 time: 0.2230 data_time: 0.0008 memory: 1833 loss: 1.2653 loss_prob: 0.7114 loss_thr: 0.4313 loss_db: 0.1225 2022/12/19 21:35:05 - mmengine - INFO - Epoch(train) [264][45/79] lr: 5.6016e-03 eta: 4:47:16 time: 0.2089 data_time: 0.0008 memory: 1833 loss: 1.2185 loss_prob: 0.6770 loss_thr: 0.4223 loss_db: 0.1192 2022/12/19 21:35:06 - mmengine - INFO - Epoch(train) [264][50/79] lr: 5.6016e-03 eta: 4:47:14 time: 0.1855 data_time: 0.0007 memory: 1833 loss: 1.2448 loss_prob: 0.6911 loss_thr: 0.4348 loss_db: 0.1189 2022/12/19 21:35:07 - mmengine - INFO - Epoch(train) [264][55/79] lr: 5.6016e-03 eta: 4:47:13 time: 0.2023 data_time: 0.0007 memory: 1833 loss: 1.2198 loss_prob: 0.6651 loss_thr: 0.4400 loss_db: 0.1148 2022/12/19 21:35:08 - mmengine - INFO - Epoch(train) [264][60/79] lr: 5.6016e-03 eta: 4:47:11 time: 0.2070 data_time: 0.0006 memory: 1833 loss: 1.2157 loss_prob: 0.6482 loss_thr: 0.4541 loss_db: 0.1134 2022/12/19 21:35:09 - mmengine - INFO - Epoch(train) [264][65/79] lr: 5.6016e-03 eta: 4:47:10 time: 0.2072 data_time: 0.0007 memory: 1833 loss: 1.1960 loss_prob: 0.6468 loss_thr: 0.4367 loss_db: 0.1125 2022/12/19 21:35:10 - mmengine - INFO - Epoch(train) [264][70/79] lr: 5.6016e-03 eta: 4:47:08 time: 0.2174 data_time: 0.0007 memory: 1833 loss: 1.2453 loss_prob: 0.6859 loss_thr: 0.4395 loss_db: 0.1200 2022/12/19 21:35:11 - mmengine - INFO - Epoch(train) [264][75/79] lr: 5.6016e-03 eta: 4:47:08 time: 0.2461 data_time: 0.0008 memory: 1833 loss: 1.1841 loss_prob: 0.6519 loss_thr: 0.4184 loss_db: 0.1138 2022/12/19 21:35:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:35:14 - mmengine - INFO - Epoch(train) [265][5/79] lr: 5.5962e-03 eta: 4:47:08 time: 0.3025 data_time: 0.0403 memory: 1833 loss: 1.0779 loss_prob: 0.5907 loss_thr: 0.3834 loss_db: 0.1038 2022/12/19 21:35:15 - mmengine - INFO - Epoch(train) [265][10/79] lr: 5.5962e-03 eta: 4:47:07 time: 0.3194 data_time: 0.0404 memory: 1833 loss: 1.1429 loss_prob: 0.6395 loss_thr: 0.3920 loss_db: 0.1114 2022/12/19 21:35:16 - mmengine - INFO - Epoch(train) [265][15/79] lr: 5.5962e-03 eta: 4:47:05 time: 0.2010 data_time: 0.0008 memory: 1833 loss: 1.2449 loss_prob: 0.7035 loss_thr: 0.4188 loss_db: 0.1226 2022/12/19 21:35:17 - mmengine - INFO - Epoch(train) [265][20/79] lr: 5.5962e-03 eta: 4:47:04 time: 0.2121 data_time: 0.0008 memory: 1833 loss: 1.1436 loss_prob: 0.6262 loss_thr: 0.4096 loss_db: 0.1078 2022/12/19 21:35:18 - mmengine - INFO - Epoch(train) [265][25/79] lr: 5.5962e-03 eta: 4:47:02 time: 0.2130 data_time: 0.0008 memory: 1833 loss: 1.1543 loss_prob: 0.6299 loss_thr: 0.4161 loss_db: 0.1083 2022/12/19 21:35:19 - mmengine - INFO - Epoch(train) [265][30/79] lr: 5.5962e-03 eta: 4:47:01 time: 0.2077 data_time: 0.0008 memory: 1833 loss: 1.2682 loss_prob: 0.7108 loss_thr: 0.4329 loss_db: 0.1246 2022/12/19 21:35:20 - mmengine - INFO - Epoch(train) [265][35/79] lr: 5.5962e-03 eta: 4:46:59 time: 0.2276 data_time: 0.0008 memory: 1833 loss: 1.2653 loss_prob: 0.7108 loss_thr: 0.4293 loss_db: 0.1253 2022/12/19 21:35:22 - mmengine - INFO - Epoch(train) [265][40/79] lr: 5.5962e-03 eta: 4:46:58 time: 0.2213 data_time: 0.0008 memory: 1833 loss: 1.1506 loss_prob: 0.6426 loss_thr: 0.3953 loss_db: 0.1126 2022/12/19 21:35:23 - mmengine - INFO - Epoch(train) [265][45/79] lr: 5.5962e-03 eta: 4:46:57 time: 0.2372 data_time: 0.0008 memory: 1833 loss: 1.2193 loss_prob: 0.6861 loss_thr: 0.4122 loss_db: 0.1210 2022/12/19 21:35:24 - mmengine - INFO - Epoch(train) [265][50/79] lr: 5.5962e-03 eta: 4:46:56 time: 0.2499 data_time: 0.0007 memory: 1833 loss: 1.2469 loss_prob: 0.6922 loss_thr: 0.4331 loss_db: 0.1216 2022/12/19 21:35:25 - mmengine - INFO - Epoch(train) [265][55/79] lr: 5.5962e-03 eta: 4:46:54 time: 0.2217 data_time: 0.0007 memory: 1833 loss: 1.1488 loss_prob: 0.6119 loss_thr: 0.4302 loss_db: 0.1067 2022/12/19 21:35:26 - mmengine - INFO - Epoch(train) [265][60/79] lr: 5.5962e-03 eta: 4:46:53 time: 0.2110 data_time: 0.0006 memory: 1833 loss: 1.1179 loss_prob: 0.5941 loss_thr: 0.4185 loss_db: 0.1053 2022/12/19 21:35:27 - mmengine - INFO - Epoch(train) [265][65/79] lr: 5.5962e-03 eta: 4:46:52 time: 0.2292 data_time: 0.0008 memory: 1833 loss: 1.1751 loss_prob: 0.6429 loss_thr: 0.4180 loss_db: 0.1142 2022/12/19 21:35:28 - mmengine - INFO - Epoch(train) [265][70/79] lr: 5.5962e-03 eta: 4:46:50 time: 0.2276 data_time: 0.0009 memory: 1833 loss: 1.2077 loss_prob: 0.6548 loss_thr: 0.4374 loss_db: 0.1155 2022/12/19 21:35:30 - mmengine - INFO - Epoch(train) [265][75/79] lr: 5.5962e-03 eta: 4:46:50 time: 0.2312 data_time: 0.0007 memory: 1833 loss: 1.1873 loss_prob: 0.6432 loss_thr: 0.4315 loss_db: 0.1126 2022/12/19 21:35:30 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:35:33 - mmengine - INFO - Epoch(train) [266][5/79] lr: 5.5908e-03 eta: 4:46:50 time: 0.3169 data_time: 0.0298 memory: 1833 loss: 1.2393 loss_prob: 0.6836 loss_thr: 0.4390 loss_db: 0.1167 2022/12/19 21:35:34 - mmengine - INFO - Epoch(train) [266][10/79] lr: 5.5908e-03 eta: 4:46:49 time: 0.3227 data_time: 0.0298 memory: 1833 loss: 1.3393 loss_prob: 0.7508 loss_thr: 0.4631 loss_db: 0.1253 2022/12/19 21:35:35 - mmengine - INFO - Epoch(train) [266][15/79] lr: 5.5908e-03 eta: 4:46:47 time: 0.2163 data_time: 0.0008 memory: 1833 loss: 1.3273 loss_prob: 0.7425 loss_thr: 0.4578 loss_db: 0.1270 2022/12/19 21:35:36 - mmengine - INFO - Epoch(train) [266][20/79] lr: 5.5908e-03 eta: 4:46:46 time: 0.2138 data_time: 0.0008 memory: 1833 loss: 1.2154 loss_prob: 0.6655 loss_thr: 0.4345 loss_db: 0.1154 2022/12/19 21:35:37 - mmengine - INFO - Epoch(train) [266][25/79] lr: 5.5908e-03 eta: 4:46:45 time: 0.2271 data_time: 0.0008 memory: 1833 loss: 1.2777 loss_prob: 0.7127 loss_thr: 0.4448 loss_db: 0.1201 2022/12/19 21:35:38 - mmengine - INFO - Epoch(train) [266][30/79] lr: 5.5908e-03 eta: 4:46:43 time: 0.2274 data_time: 0.0008 memory: 1833 loss: 1.2722 loss_prob: 0.7031 loss_thr: 0.4495 loss_db: 0.1195 2022/12/19 21:35:39 - mmengine - INFO - Epoch(train) [266][35/79] lr: 5.5908e-03 eta: 4:46:42 time: 0.2277 data_time: 0.0008 memory: 1833 loss: 1.2678 loss_prob: 0.6949 loss_thr: 0.4525 loss_db: 0.1203 2022/12/19 21:35:40 - mmengine - INFO - Epoch(train) [266][40/79] lr: 5.5908e-03 eta: 4:46:41 time: 0.2337 data_time: 0.0008 memory: 1833 loss: 1.1573 loss_prob: 0.6355 loss_thr: 0.4112 loss_db: 0.1106 2022/12/19 21:35:41 - mmengine - INFO - Epoch(train) [266][45/79] lr: 5.5908e-03 eta: 4:46:39 time: 0.2121 data_time: 0.0008 memory: 1833 loss: 1.1210 loss_prob: 0.6154 loss_thr: 0.3988 loss_db: 0.1068 2022/12/19 21:35:43 - mmengine - INFO - Epoch(train) [266][50/79] lr: 5.5908e-03 eta: 4:46:40 time: 0.2559 data_time: 0.0008 memory: 1833 loss: 1.1066 loss_prob: 0.6036 loss_thr: 0.3980 loss_db: 0.1050 2022/12/19 21:35:44 - mmengine - INFO - Epoch(train) [266][55/79] lr: 5.5908e-03 eta: 4:46:38 time: 0.2554 data_time: 0.0009 memory: 1833 loss: 1.1435 loss_prob: 0.6153 loss_thr: 0.4226 loss_db: 0.1056 2022/12/19 21:35:45 - mmengine - INFO - Epoch(train) [266][60/79] lr: 5.5908e-03 eta: 4:46:37 time: 0.2250 data_time: 0.0008 memory: 1833 loss: 1.1463 loss_prob: 0.6150 loss_thr: 0.4243 loss_db: 0.1070 2022/12/19 21:35:47 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:35:47 - mmengine - INFO - Epoch(train) [266][65/79] lr: 5.5908e-03 eta: 4:46:37 time: 0.2713 data_time: 0.0012 memory: 1833 loss: 1.0731 loss_prob: 0.5805 loss_thr: 0.3888 loss_db: 0.1037 2022/12/19 21:35:48 - mmengine - INFO - Epoch(train) [266][70/79] lr: 5.5908e-03 eta: 4:46:35 time: 0.2509 data_time: 0.0012 memory: 1833 loss: 1.1589 loss_prob: 0.6312 loss_thr: 0.4180 loss_db: 0.1098 2022/12/19 21:35:49 - mmengine - INFO - Epoch(train) [266][75/79] lr: 5.5908e-03 eta: 4:46:34 time: 0.2099 data_time: 0.0008 memory: 1833 loss: 1.2109 loss_prob: 0.6557 loss_thr: 0.4412 loss_db: 0.1140 2022/12/19 21:35:50 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:35:52 - mmengine - INFO - Epoch(train) [267][5/79] lr: 5.5854e-03 eta: 4:46:34 time: 0.3031 data_time: 0.0418 memory: 1833 loss: 1.2842 loss_prob: 0.7106 loss_thr: 0.4517 loss_db: 0.1219 2022/12/19 21:35:53 - mmengine - INFO - Epoch(train) [267][10/79] lr: 5.5854e-03 eta: 4:46:33 time: 0.3115 data_time: 0.0419 memory: 1833 loss: 1.2870 loss_prob: 0.7190 loss_thr: 0.4432 loss_db: 0.1248 2022/12/19 21:35:54 - mmengine - INFO - Epoch(train) [267][15/79] lr: 5.5854e-03 eta: 4:46:32 time: 0.2464 data_time: 0.0008 memory: 1833 loss: 1.2460 loss_prob: 0.7027 loss_thr: 0.4218 loss_db: 0.1215 2022/12/19 21:35:55 - mmengine - INFO - Epoch(train) [267][20/79] lr: 5.5854e-03 eta: 4:46:31 time: 0.2235 data_time: 0.0008 memory: 1833 loss: 1.2493 loss_prob: 0.6979 loss_thr: 0.4298 loss_db: 0.1216 2022/12/19 21:35:56 - mmengine - INFO - Epoch(train) [267][25/79] lr: 5.5854e-03 eta: 4:46:29 time: 0.2087 data_time: 0.0008 memory: 1833 loss: 1.2368 loss_prob: 0.6754 loss_thr: 0.4442 loss_db: 0.1173 2022/12/19 21:35:57 - mmengine - INFO - Epoch(train) [267][30/79] lr: 5.5854e-03 eta: 4:46:28 time: 0.2158 data_time: 0.0008 memory: 1833 loss: 1.1839 loss_prob: 0.6420 loss_thr: 0.4288 loss_db: 0.1131 2022/12/19 21:35:59 - mmengine - INFO - Epoch(train) [267][35/79] lr: 5.5854e-03 eta: 4:46:27 time: 0.2488 data_time: 0.0008 memory: 1833 loss: 1.1093 loss_prob: 0.6008 loss_thr: 0.4015 loss_db: 0.1070 2022/12/19 21:36:00 - mmengine - INFO - Epoch(train) [267][40/79] lr: 5.5854e-03 eta: 4:46:26 time: 0.2617 data_time: 0.0010 memory: 1833 loss: 1.0902 loss_prob: 0.5841 loss_thr: 0.4037 loss_db: 0.1023 2022/12/19 21:36:01 - mmengine - INFO - Epoch(train) [267][45/79] lr: 5.5854e-03 eta: 4:46:25 time: 0.2311 data_time: 0.0010 memory: 1833 loss: 1.2330 loss_prob: 0.6741 loss_thr: 0.4434 loss_db: 0.1155 2022/12/19 21:36:02 - mmengine - INFO - Epoch(train) [267][50/79] lr: 5.5854e-03 eta: 4:46:23 time: 0.2021 data_time: 0.0008 memory: 1833 loss: 1.3739 loss_prob: 0.7745 loss_thr: 0.4691 loss_db: 0.1303 2022/12/19 21:36:03 - mmengine - INFO - Epoch(train) [267][55/79] lr: 5.5854e-03 eta: 4:46:21 time: 0.1842 data_time: 0.0007 memory: 1833 loss: 1.3295 loss_prob: 0.7566 loss_thr: 0.4460 loss_db: 0.1270 2022/12/19 21:36:04 - mmengine - INFO - Epoch(train) [267][60/79] lr: 5.5854e-03 eta: 4:46:19 time: 0.1974 data_time: 0.0007 memory: 1833 loss: 1.1934 loss_prob: 0.6635 loss_thr: 0.4184 loss_db: 0.1114 2022/12/19 21:36:05 - mmengine - INFO - Epoch(train) [267][65/79] lr: 5.5854e-03 eta: 4:46:18 time: 0.2247 data_time: 0.0007 memory: 1833 loss: 1.1962 loss_prob: 0.6504 loss_thr: 0.4353 loss_db: 0.1105 2022/12/19 21:36:06 - mmengine - INFO - Epoch(train) [267][70/79] lr: 5.5854e-03 eta: 4:46:16 time: 0.2147 data_time: 0.0007 memory: 1833 loss: 1.1904 loss_prob: 0.6486 loss_thr: 0.4290 loss_db: 0.1128 2022/12/19 21:36:07 - mmengine - INFO - Epoch(train) [267][75/79] lr: 5.5854e-03 eta: 4:46:15 time: 0.2127 data_time: 0.0007 memory: 1833 loss: 1.1311 loss_prob: 0.6241 loss_thr: 0.3985 loss_db: 0.1085 2022/12/19 21:36:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:36:10 - mmengine - INFO - Epoch(train) [268][5/79] lr: 5.5800e-03 eta: 4:46:16 time: 0.3102 data_time: 0.0322 memory: 1833 loss: 1.1712 loss_prob: 0.6382 loss_thr: 0.4197 loss_db: 0.1133 2022/12/19 21:36:11 - mmengine - INFO - Epoch(train) [268][10/79] lr: 5.5800e-03 eta: 4:46:14 time: 0.3049 data_time: 0.0323 memory: 1833 loss: 1.3430 loss_prob: 0.7434 loss_thr: 0.4711 loss_db: 0.1284 2022/12/19 21:36:12 - mmengine - INFO - Epoch(train) [268][15/79] lr: 5.5800e-03 eta: 4:46:12 time: 0.2112 data_time: 0.0008 memory: 1833 loss: 1.2189 loss_prob: 0.6608 loss_thr: 0.4452 loss_db: 0.1129 2022/12/19 21:36:13 - mmengine - INFO - Epoch(train) [268][20/79] lr: 5.5800e-03 eta: 4:46:11 time: 0.2191 data_time: 0.0007 memory: 1833 loss: 1.1908 loss_prob: 0.6484 loss_thr: 0.4320 loss_db: 0.1104 2022/12/19 21:36:14 - mmengine - INFO - Epoch(train) [268][25/79] lr: 5.5800e-03 eta: 4:46:10 time: 0.2344 data_time: 0.0007 memory: 1833 loss: 1.3072 loss_prob: 0.7421 loss_thr: 0.4397 loss_db: 0.1254 2022/12/19 21:36:16 - mmengine - INFO - Epoch(train) [268][30/79] lr: 5.5800e-03 eta: 4:46:10 time: 0.2573 data_time: 0.0010 memory: 1833 loss: 1.2608 loss_prob: 0.7143 loss_thr: 0.4254 loss_db: 0.1210 2022/12/19 21:36:17 - mmengine - INFO - Epoch(train) [268][35/79] lr: 5.5800e-03 eta: 4:46:09 time: 0.2665 data_time: 0.0010 memory: 1833 loss: 1.1218 loss_prob: 0.6162 loss_thr: 0.3986 loss_db: 0.1069 2022/12/19 21:36:18 - mmengine - INFO - Epoch(train) [268][40/79] lr: 5.5800e-03 eta: 4:46:08 time: 0.2428 data_time: 0.0008 memory: 1833 loss: 1.0386 loss_prob: 0.5482 loss_thr: 0.3930 loss_db: 0.0974 2022/12/19 21:36:19 - mmengine - INFO - Epoch(train) [268][45/79] lr: 5.5800e-03 eta: 4:46:06 time: 0.2196 data_time: 0.0008 memory: 1833 loss: 1.1751 loss_prob: 0.6332 loss_thr: 0.4311 loss_db: 0.1108 2022/12/19 21:36:20 - mmengine - INFO - Epoch(train) [268][50/79] lr: 5.5800e-03 eta: 4:46:05 time: 0.2145 data_time: 0.0008 memory: 1833 loss: 1.1806 loss_prob: 0.6526 loss_thr: 0.4171 loss_db: 0.1109 2022/12/19 21:36:22 - mmengine - INFO - Epoch(train) [268][55/79] lr: 5.5800e-03 eta: 4:46:04 time: 0.2294 data_time: 0.0007 memory: 1833 loss: 1.1857 loss_prob: 0.6586 loss_thr: 0.4154 loss_db: 0.1117 2022/12/19 21:36:23 - mmengine - INFO - Epoch(train) [268][60/79] lr: 5.5800e-03 eta: 4:46:02 time: 0.2254 data_time: 0.0008 memory: 1833 loss: 1.2156 loss_prob: 0.6706 loss_thr: 0.4284 loss_db: 0.1166 2022/12/19 21:36:24 - mmengine - INFO - Epoch(train) [268][65/79] lr: 5.5800e-03 eta: 4:46:01 time: 0.2080 data_time: 0.0008 memory: 1833 loss: 1.2735 loss_prob: 0.7110 loss_thr: 0.4396 loss_db: 0.1229 2022/12/19 21:36:25 - mmengine - INFO - Epoch(train) [268][70/79] lr: 5.5800e-03 eta: 4:45:59 time: 0.2086 data_time: 0.0007 memory: 1833 loss: 1.2233 loss_prob: 0.6774 loss_thr: 0.4300 loss_db: 0.1160 2022/12/19 21:36:26 - mmengine - INFO - Epoch(train) [268][75/79] lr: 5.5800e-03 eta: 4:45:57 time: 0.2108 data_time: 0.0007 memory: 1833 loss: 1.1458 loss_prob: 0.6360 loss_thr: 0.4016 loss_db: 0.1082 2022/12/19 21:36:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:36:29 - mmengine - INFO - Epoch(train) [269][5/79] lr: 5.5746e-03 eta: 4:45:58 time: 0.3163 data_time: 0.0513 memory: 1833 loss: 1.2881 loss_prob: 0.7221 loss_thr: 0.4391 loss_db: 0.1270 2022/12/19 21:36:30 - mmengine - INFO - Epoch(train) [269][10/79] lr: 5.5746e-03 eta: 4:45:58 time: 0.3536 data_time: 0.0513 memory: 1833 loss: 1.2255 loss_prob: 0.6894 loss_thr: 0.4176 loss_db: 0.1185 2022/12/19 21:36:32 - mmengine - INFO - Epoch(train) [269][15/79] lr: 5.5746e-03 eta: 4:45:58 time: 0.2827 data_time: 0.0008 memory: 1833 loss: 1.1425 loss_prob: 0.6298 loss_thr: 0.4033 loss_db: 0.1094 2022/12/19 21:36:33 - mmengine - INFO - Epoch(train) [269][20/79] lr: 5.5746e-03 eta: 4:45:57 time: 0.2738 data_time: 0.0009 memory: 1833 loss: 1.0820 loss_prob: 0.5884 loss_thr: 0.3905 loss_db: 0.1031 2022/12/19 21:36:34 - mmengine - INFO - Epoch(train) [269][25/79] lr: 5.5746e-03 eta: 4:45:55 time: 0.2150 data_time: 0.0008 memory: 1833 loss: 1.1031 loss_prob: 0.5966 loss_thr: 0.4040 loss_db: 0.1026 2022/12/19 21:36:35 - mmengine - INFO - Epoch(train) [269][30/79] lr: 5.5746e-03 eta: 4:45:53 time: 0.1968 data_time: 0.0011 memory: 1833 loss: 1.1145 loss_prob: 0.6110 loss_thr: 0.3976 loss_db: 0.1059 2022/12/19 21:36:36 - mmengine - INFO - Epoch(train) [269][35/79] lr: 5.5746e-03 eta: 4:45:52 time: 0.2147 data_time: 0.0011 memory: 1833 loss: 1.1688 loss_prob: 0.6574 loss_thr: 0.3983 loss_db: 0.1131 2022/12/19 21:36:37 - mmengine - INFO - Epoch(train) [269][40/79] lr: 5.5746e-03 eta: 4:45:51 time: 0.2254 data_time: 0.0008 memory: 1833 loss: 1.1162 loss_prob: 0.6200 loss_thr: 0.3882 loss_db: 0.1080 2022/12/19 21:36:38 - mmengine - INFO - Epoch(train) [269][45/79] lr: 5.5746e-03 eta: 4:45:50 time: 0.2362 data_time: 0.0008 memory: 1833 loss: 1.0890 loss_prob: 0.5905 loss_thr: 0.3949 loss_db: 0.1037 2022/12/19 21:36:39 - mmengine - INFO - Epoch(train) [269][50/79] lr: 5.5746e-03 eta: 4:45:48 time: 0.2260 data_time: 0.0008 memory: 1833 loss: 1.2537 loss_prob: 0.6945 loss_thr: 0.4407 loss_db: 0.1184 2022/12/19 21:36:41 - mmengine - INFO - Epoch(train) [269][55/79] lr: 5.5746e-03 eta: 4:45:47 time: 0.2291 data_time: 0.0008 memory: 1833 loss: 1.2788 loss_prob: 0.7105 loss_thr: 0.4464 loss_db: 0.1218 2022/12/19 21:36:42 - mmengine - INFO - Epoch(train) [269][60/79] lr: 5.5746e-03 eta: 4:45:45 time: 0.2248 data_time: 0.0007 memory: 1833 loss: 1.2143 loss_prob: 0.6691 loss_thr: 0.4298 loss_db: 0.1154 2022/12/19 21:36:43 - mmengine - INFO - Epoch(train) [269][65/79] lr: 5.5746e-03 eta: 4:45:44 time: 0.1958 data_time: 0.0006 memory: 1833 loss: 1.1743 loss_prob: 0.6401 loss_thr: 0.4220 loss_db: 0.1122 2022/12/19 21:36:43 - mmengine - INFO - Epoch(train) [269][70/79] lr: 5.5746e-03 eta: 4:45:42 time: 0.1947 data_time: 0.0006 memory: 1833 loss: 1.1299 loss_prob: 0.6038 loss_thr: 0.4190 loss_db: 0.1071 2022/12/19 21:36:44 - mmengine - INFO - Epoch(train) [269][75/79] lr: 5.5746e-03 eta: 4:45:40 time: 0.1982 data_time: 0.0007 memory: 1833 loss: 1.1986 loss_prob: 0.6582 loss_thr: 0.4253 loss_db: 0.1152 2022/12/19 21:36:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:36:49 - mmengine - INFO - Epoch(train) [270][5/79] lr: 5.5693e-03 eta: 4:45:45 time: 0.4242 data_time: 0.0264 memory: 1833 loss: 1.2483 loss_prob: 0.6875 loss_thr: 0.4429 loss_db: 0.1178 2022/12/19 21:36:50 - mmengine - INFO - Epoch(train) [270][10/79] lr: 5.5693e-03 eta: 4:45:44 time: 0.4322 data_time: 0.0266 memory: 1833 loss: 1.3284 loss_prob: 0.7416 loss_thr: 0.4591 loss_db: 0.1277 2022/12/19 21:36:51 - mmengine - INFO - Epoch(train) [270][15/79] lr: 5.5693e-03 eta: 4:45:42 time: 0.2289 data_time: 0.0010 memory: 1833 loss: 1.2574 loss_prob: 0.6814 loss_thr: 0.4565 loss_db: 0.1195 2022/12/19 21:36:52 - mmengine - INFO - Epoch(train) [270][20/79] lr: 5.5693e-03 eta: 4:45:42 time: 0.2422 data_time: 0.0008 memory: 1833 loss: 1.2067 loss_prob: 0.6465 loss_thr: 0.4485 loss_db: 0.1117 2022/12/19 21:36:53 - mmengine - INFO - Epoch(train) [270][25/79] lr: 5.5693e-03 eta: 4:45:40 time: 0.2449 data_time: 0.0008 memory: 1833 loss: 1.1446 loss_prob: 0.6314 loss_thr: 0.4035 loss_db: 0.1097 2022/12/19 21:36:54 - mmengine - INFO - Epoch(train) [270][30/79] lr: 5.5693e-03 eta: 4:45:39 time: 0.2276 data_time: 0.0008 memory: 1833 loss: 1.1377 loss_prob: 0.6198 loss_thr: 0.4076 loss_db: 0.1103 2022/12/19 21:36:56 - mmengine - INFO - Epoch(train) [270][35/79] lr: 5.5693e-03 eta: 4:45:38 time: 0.2418 data_time: 0.0008 memory: 1833 loss: 1.2754 loss_prob: 0.7086 loss_thr: 0.4446 loss_db: 0.1221 2022/12/19 21:36:57 - mmengine - INFO - Epoch(train) [270][40/79] lr: 5.5693e-03 eta: 4:45:37 time: 0.2277 data_time: 0.0008 memory: 1833 loss: 1.2690 loss_prob: 0.7158 loss_thr: 0.4335 loss_db: 0.1197 2022/12/19 21:36:58 - mmengine - INFO - Epoch(train) [270][45/79] lr: 5.5693e-03 eta: 4:45:35 time: 0.2095 data_time: 0.0008 memory: 1833 loss: 1.1806 loss_prob: 0.6549 loss_thr: 0.4139 loss_db: 0.1118 2022/12/19 21:36:59 - mmengine - INFO - Epoch(train) [270][50/79] lr: 5.5693e-03 eta: 4:45:34 time: 0.2221 data_time: 0.0007 memory: 1833 loss: 1.2068 loss_prob: 0.6689 loss_thr: 0.4236 loss_db: 0.1144 2022/12/19 21:37:00 - mmengine - INFO - Epoch(train) [270][55/79] lr: 5.5693e-03 eta: 4:45:32 time: 0.2089 data_time: 0.0007 memory: 1833 loss: 1.2540 loss_prob: 0.6920 loss_thr: 0.4420 loss_db: 0.1201 2022/12/19 21:37:01 - mmengine - INFO - Epoch(train) [270][60/79] lr: 5.5693e-03 eta: 4:45:30 time: 0.2012 data_time: 0.0006 memory: 1833 loss: 1.1899 loss_prob: 0.6525 loss_thr: 0.4221 loss_db: 0.1153 2022/12/19 21:37:02 - mmengine - INFO - Epoch(train) [270][65/79] lr: 5.5693e-03 eta: 4:45:29 time: 0.2218 data_time: 0.0007 memory: 1833 loss: 1.1064 loss_prob: 0.6008 loss_thr: 0.3998 loss_db: 0.1058 2022/12/19 21:37:03 - mmengine - INFO - Epoch(train) [270][70/79] lr: 5.5693e-03 eta: 4:45:28 time: 0.2315 data_time: 0.0008 memory: 1833 loss: 1.1815 loss_prob: 0.6387 loss_thr: 0.4308 loss_db: 0.1120 2022/12/19 21:37:04 - mmengine - INFO - Epoch(train) [270][75/79] lr: 5.5693e-03 eta: 4:45:27 time: 0.2299 data_time: 0.0008 memory: 1833 loss: 1.1662 loss_prob: 0.6380 loss_thr: 0.4159 loss_db: 0.1123 2022/12/19 21:37:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:37:07 - mmengine - INFO - Epoch(train) [271][5/79] lr: 5.5639e-03 eta: 4:45:27 time: 0.3162 data_time: 0.0717 memory: 1833 loss: 1.1301 loss_prob: 0.6105 loss_thr: 0.4117 loss_db: 0.1078 2022/12/19 21:37:08 - mmengine - INFO - Epoch(train) [271][10/79] lr: 5.5639e-03 eta: 4:45:26 time: 0.3281 data_time: 0.0713 memory: 1833 loss: 1.0751 loss_prob: 0.5818 loss_thr: 0.3913 loss_db: 0.1020 2022/12/19 21:37:09 - mmengine - INFO - Epoch(train) [271][15/79] lr: 5.5639e-03 eta: 4:45:25 time: 0.2192 data_time: 0.0008 memory: 1833 loss: 1.0280 loss_prob: 0.5609 loss_thr: 0.3694 loss_db: 0.0977 2022/12/19 21:37:11 - mmengine - INFO - Epoch(train) [271][20/79] lr: 5.5639e-03 eta: 4:45:23 time: 0.2007 data_time: 0.0009 memory: 1833 loss: 1.0966 loss_prob: 0.5976 loss_thr: 0.3978 loss_db: 0.1012 2022/12/19 21:37:12 - mmengine - INFO - Epoch(train) [271][25/79] lr: 5.5639e-03 eta: 4:45:21 time: 0.2076 data_time: 0.0009 memory: 1833 loss: 1.2314 loss_prob: 0.6783 loss_thr: 0.4373 loss_db: 0.1158 2022/12/19 21:37:13 - mmengine - INFO - Epoch(train) [271][30/79] lr: 5.5639e-03 eta: 4:45:20 time: 0.2303 data_time: 0.0008 memory: 1833 loss: 1.2027 loss_prob: 0.6629 loss_thr: 0.4256 loss_db: 0.1141 2022/12/19 21:37:14 - mmengine - INFO - Epoch(train) [271][35/79] lr: 5.5639e-03 eta: 4:45:18 time: 0.2190 data_time: 0.0008 memory: 1833 loss: 1.1226 loss_prob: 0.6046 loss_thr: 0.4119 loss_db: 0.1062 2022/12/19 21:37:15 - mmengine - INFO - Epoch(train) [271][40/79] lr: 5.5639e-03 eta: 4:45:17 time: 0.1947 data_time: 0.0008 memory: 1833 loss: 1.0858 loss_prob: 0.5820 loss_thr: 0.4003 loss_db: 0.1035 2022/12/19 21:37:16 - mmengine - INFO - Epoch(train) [271][45/79] lr: 5.5639e-03 eta: 4:45:15 time: 0.2111 data_time: 0.0008 memory: 1833 loss: 1.1109 loss_prob: 0.6092 loss_thr: 0.3954 loss_db: 0.1063 2022/12/19 21:37:17 - mmengine - INFO - Epoch(train) [271][50/79] lr: 5.5639e-03 eta: 4:45:13 time: 0.2047 data_time: 0.0009 memory: 1833 loss: 1.2552 loss_prob: 0.7072 loss_thr: 0.4278 loss_db: 0.1202 2022/12/19 21:37:18 - mmengine - INFO - Epoch(train) [271][55/79] lr: 5.5639e-03 eta: 4:45:12 time: 0.1958 data_time: 0.0009 memory: 1833 loss: 1.1862 loss_prob: 0.6441 loss_thr: 0.4314 loss_db: 0.1108 2022/12/19 21:37:19 - mmengine - INFO - Epoch(train) [271][60/79] lr: 5.5639e-03 eta: 4:45:10 time: 0.2135 data_time: 0.0008 memory: 1833 loss: 1.0828 loss_prob: 0.5834 loss_thr: 0.3993 loss_db: 0.1000 2022/12/19 21:37:20 - mmengine - INFO - Epoch(train) [271][65/79] lr: 5.5639e-03 eta: 4:45:10 time: 0.2507 data_time: 0.0010 memory: 1833 loss: 1.1391 loss_prob: 0.6401 loss_thr: 0.3913 loss_db: 0.1078 2022/12/19 21:37:22 - mmengine - INFO - Epoch(train) [271][70/79] lr: 5.5639e-03 eta: 4:45:09 time: 0.2568 data_time: 0.0009 memory: 1833 loss: 1.1859 loss_prob: 0.6691 loss_thr: 0.4003 loss_db: 0.1165 2022/12/19 21:37:23 - mmengine - INFO - Epoch(train) [271][75/79] lr: 5.5639e-03 eta: 4:45:07 time: 0.2243 data_time: 0.0008 memory: 1833 loss: 1.2095 loss_prob: 0.6797 loss_thr: 0.4119 loss_db: 0.1179 2022/12/19 21:37:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:37:25 - mmengine - INFO - Epoch(train) [272][5/79] lr: 5.5585e-03 eta: 4:45:07 time: 0.2783 data_time: 0.0507 memory: 1833 loss: 1.2073 loss_prob: 0.6569 loss_thr: 0.4367 loss_db: 0.1137 2022/12/19 21:37:26 - mmengine - INFO - Epoch(train) [272][10/79] lr: 5.5585e-03 eta: 4:45:06 time: 0.3160 data_time: 0.0508 memory: 1833 loss: 1.2305 loss_prob: 0.6779 loss_thr: 0.4352 loss_db: 0.1174 2022/12/19 21:37:27 - mmengine - INFO - Epoch(train) [272][15/79] lr: 5.5585e-03 eta: 4:45:04 time: 0.2262 data_time: 0.0008 memory: 1833 loss: 1.2365 loss_prob: 0.6810 loss_thr: 0.4347 loss_db: 0.1208 2022/12/19 21:37:29 - mmengine - INFO - Epoch(train) [272][20/79] lr: 5.5585e-03 eta: 4:45:03 time: 0.2079 data_time: 0.0008 memory: 1833 loss: 1.3700 loss_prob: 0.7573 loss_thr: 0.4836 loss_db: 0.1291 2022/12/19 21:37:30 - mmengine - INFO - Epoch(train) [272][25/79] lr: 5.5585e-03 eta: 4:45:02 time: 0.2255 data_time: 0.0008 memory: 1833 loss: 1.3569 loss_prob: 0.7548 loss_thr: 0.4748 loss_db: 0.1273 2022/12/19 21:37:31 - mmengine - INFO - Epoch(train) [272][30/79] lr: 5.5585e-03 eta: 4:45:01 time: 0.2301 data_time: 0.0008 memory: 1833 loss: 1.2190 loss_prob: 0.6692 loss_thr: 0.4326 loss_db: 0.1172 2022/12/19 21:37:32 - mmengine - INFO - Epoch(train) [272][35/79] lr: 5.5585e-03 eta: 4:45:00 time: 0.2341 data_time: 0.0009 memory: 1833 loss: 1.1730 loss_prob: 0.6394 loss_thr: 0.4201 loss_db: 0.1135 2022/12/19 21:37:33 - mmengine - INFO - Epoch(train) [272][40/79] lr: 5.5585e-03 eta: 4:44:58 time: 0.2210 data_time: 0.0009 memory: 1833 loss: 1.1540 loss_prob: 0.6341 loss_thr: 0.4078 loss_db: 0.1121 2022/12/19 21:37:34 - mmengine - INFO - Epoch(train) [272][45/79] lr: 5.5585e-03 eta: 4:44:56 time: 0.2126 data_time: 0.0008 memory: 1833 loss: 1.3084 loss_prob: 0.7325 loss_thr: 0.4526 loss_db: 0.1233 2022/12/19 21:37:36 - mmengine - INFO - Epoch(train) [272][50/79] lr: 5.5585e-03 eta: 4:44:56 time: 0.2519 data_time: 0.0009 memory: 1833 loss: 1.3614 loss_prob: 0.7585 loss_thr: 0.4767 loss_db: 0.1262 2022/12/19 21:37:37 - mmengine - INFO - Epoch(train) [272][55/79] lr: 5.5585e-03 eta: 4:44:54 time: 0.2415 data_time: 0.0010 memory: 1833 loss: 1.1810 loss_prob: 0.6415 loss_thr: 0.4281 loss_db: 0.1114 2022/12/19 21:37:38 - mmengine - INFO - Epoch(train) [272][60/79] lr: 5.5585e-03 eta: 4:44:54 time: 0.2279 data_time: 0.0009 memory: 1833 loss: 1.1064 loss_prob: 0.6064 loss_thr: 0.3954 loss_db: 0.1046 2022/12/19 21:37:39 - mmengine - INFO - Epoch(train) [272][65/79] lr: 5.5585e-03 eta: 4:44:53 time: 0.2480 data_time: 0.0009 memory: 1833 loss: 1.1345 loss_prob: 0.6258 loss_thr: 0.4001 loss_db: 0.1086 2022/12/19 21:37:40 - mmengine - INFO - Epoch(train) [272][70/79] lr: 5.5585e-03 eta: 4:44:51 time: 0.2275 data_time: 0.0009 memory: 1833 loss: 1.1865 loss_prob: 0.6576 loss_thr: 0.4157 loss_db: 0.1132 2022/12/19 21:37:41 - mmengine - INFO - Epoch(train) [272][75/79] lr: 5.5585e-03 eta: 4:44:50 time: 0.2186 data_time: 0.0009 memory: 1833 loss: 1.2983 loss_prob: 0.7205 loss_thr: 0.4557 loss_db: 0.1221 2022/12/19 21:37:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:37:44 - mmengine - INFO - Epoch(train) [273][5/79] lr: 5.5531e-03 eta: 4:44:49 time: 0.2748 data_time: 0.0448 memory: 1833 loss: 1.1929 loss_prob: 0.6514 loss_thr: 0.4284 loss_db: 0.1132 2022/12/19 21:37:45 - mmengine - INFO - Epoch(train) [273][10/79] lr: 5.5531e-03 eta: 4:44:48 time: 0.2881 data_time: 0.0448 memory: 1833 loss: 1.3054 loss_prob: 0.7324 loss_thr: 0.4464 loss_db: 0.1266 2022/12/19 21:37:46 - mmengine - INFO - Epoch(train) [273][15/79] lr: 5.5531e-03 eta: 4:44:46 time: 0.2138 data_time: 0.0008 memory: 1833 loss: 1.3773 loss_prob: 0.7940 loss_thr: 0.4480 loss_db: 0.1352 2022/12/19 21:37:47 - mmengine - INFO - Epoch(train) [273][20/79] lr: 5.5531e-03 eta: 4:44:45 time: 0.2200 data_time: 0.0008 memory: 1833 loss: 1.3682 loss_prob: 0.7860 loss_thr: 0.4504 loss_db: 0.1318 2022/12/19 21:37:48 - mmengine - INFO - Epoch(train) [273][25/79] lr: 5.5531e-03 eta: 4:44:43 time: 0.2203 data_time: 0.0008 memory: 1833 loss: 1.3587 loss_prob: 0.7628 loss_thr: 0.4649 loss_db: 0.1310 2022/12/19 21:37:49 - mmengine - INFO - Epoch(train) [273][30/79] lr: 5.5531e-03 eta: 4:44:43 time: 0.2414 data_time: 0.0008 memory: 1833 loss: 1.3414 loss_prob: 0.7463 loss_thr: 0.4651 loss_db: 0.1300 2022/12/19 21:37:51 - mmengine - INFO - Epoch(train) [273][35/79] lr: 5.5531e-03 eta: 4:44:42 time: 0.2558 data_time: 0.0008 memory: 1833 loss: 1.2568 loss_prob: 0.6965 loss_thr: 0.4408 loss_db: 0.1194 2022/12/19 21:37:52 - mmengine - INFO - Epoch(train) [273][40/79] lr: 5.5531e-03 eta: 4:44:41 time: 0.2573 data_time: 0.0010 memory: 1833 loss: 1.1933 loss_prob: 0.6551 loss_thr: 0.4248 loss_db: 0.1133 2022/12/19 21:37:53 - mmengine - INFO - Epoch(train) [273][45/79] lr: 5.5531e-03 eta: 4:44:40 time: 0.2440 data_time: 0.0011 memory: 1833 loss: 1.1609 loss_prob: 0.6406 loss_thr: 0.4095 loss_db: 0.1108 2022/12/19 21:37:54 - mmengine - INFO - Epoch(train) [273][50/79] lr: 5.5531e-03 eta: 4:44:39 time: 0.2209 data_time: 0.0008 memory: 1833 loss: 1.2176 loss_prob: 0.6729 loss_thr: 0.4294 loss_db: 0.1153 2022/12/19 21:37:55 - mmengine - INFO - Epoch(train) [273][55/79] lr: 5.5531e-03 eta: 4:44:37 time: 0.2286 data_time: 0.0008 memory: 1833 loss: 1.1564 loss_prob: 0.6348 loss_thr: 0.4103 loss_db: 0.1114 2022/12/19 21:37:57 - mmengine - INFO - Epoch(train) [273][60/79] lr: 5.5531e-03 eta: 4:44:36 time: 0.2281 data_time: 0.0007 memory: 1833 loss: 1.1217 loss_prob: 0.6212 loss_thr: 0.3893 loss_db: 0.1111 2022/12/19 21:37:58 - mmengine - INFO - Epoch(train) [273][65/79] lr: 5.5531e-03 eta: 4:44:35 time: 0.2228 data_time: 0.0008 memory: 1833 loss: 1.2587 loss_prob: 0.6945 loss_thr: 0.4412 loss_db: 0.1231 2022/12/19 21:37:59 - mmengine - INFO - Epoch(train) [273][70/79] lr: 5.5531e-03 eta: 4:44:34 time: 0.2392 data_time: 0.0008 memory: 1833 loss: 1.2576 loss_prob: 0.6909 loss_thr: 0.4486 loss_db: 0.1181 2022/12/19 21:38:00 - mmengine - INFO - Epoch(train) [273][75/79] lr: 5.5531e-03 eta: 4:44:32 time: 0.2330 data_time: 0.0010 memory: 1833 loss: 1.3130 loss_prob: 0.7289 loss_thr: 0.4604 loss_db: 0.1238 2022/12/19 21:38:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:38:03 - mmengine - INFO - Epoch(train) [274][5/79] lr: 5.5477e-03 eta: 4:44:32 time: 0.2969 data_time: 0.0373 memory: 1833 loss: 1.0974 loss_prob: 0.5877 loss_thr: 0.4059 loss_db: 0.1038 2022/12/19 21:38:04 - mmengine - INFO - Epoch(train) [274][10/79] lr: 5.5477e-03 eta: 4:44:31 time: 0.3109 data_time: 0.0373 memory: 1833 loss: 1.0445 loss_prob: 0.5534 loss_thr: 0.3940 loss_db: 0.0971 2022/12/19 21:38:05 - mmengine - INFO - Epoch(train) [274][15/79] lr: 5.5477e-03 eta: 4:44:29 time: 0.2026 data_time: 0.0008 memory: 1833 loss: 1.1549 loss_prob: 0.6220 loss_thr: 0.4261 loss_db: 0.1068 2022/12/19 21:38:06 - mmengine - INFO - Epoch(train) [274][20/79] lr: 5.5477e-03 eta: 4:44:27 time: 0.1969 data_time: 0.0009 memory: 1833 loss: 1.1822 loss_prob: 0.6496 loss_thr: 0.4224 loss_db: 0.1102 2022/12/19 21:38:07 - mmengine - INFO - Epoch(train) [274][25/79] lr: 5.5477e-03 eta: 4:44:27 time: 0.2260 data_time: 0.0011 memory: 1833 loss: 1.2385 loss_prob: 0.7004 loss_thr: 0.4165 loss_db: 0.1217 2022/12/19 21:38:08 - mmengine - INFO - Epoch(train) [274][30/79] lr: 5.5477e-03 eta: 4:44:25 time: 0.2321 data_time: 0.0013 memory: 1833 loss: 1.4036 loss_prob: 0.8016 loss_thr: 0.4621 loss_db: 0.1399 2022/12/19 21:38:09 - mmengine - INFO - Epoch(train) [274][35/79] lr: 5.5477e-03 eta: 4:44:24 time: 0.2223 data_time: 0.0010 memory: 1833 loss: 1.3447 loss_prob: 0.7483 loss_thr: 0.4650 loss_db: 0.1315 2022/12/19 21:38:10 - mmengine - INFO - Epoch(train) [274][40/79] lr: 5.5477e-03 eta: 4:44:22 time: 0.2165 data_time: 0.0009 memory: 1833 loss: 1.1814 loss_prob: 0.6535 loss_thr: 0.4139 loss_db: 0.1139 2022/12/19 21:38:11 - mmengine - INFO - Epoch(train) [274][45/79] lr: 5.5477e-03 eta: 4:44:21 time: 0.2109 data_time: 0.0008 memory: 1833 loss: 1.1868 loss_prob: 0.6662 loss_thr: 0.4076 loss_db: 0.1130 2022/12/19 21:38:12 - mmengine - INFO - Epoch(train) [274][50/79] lr: 5.5477e-03 eta: 4:44:19 time: 0.2114 data_time: 0.0008 memory: 1833 loss: 1.2719 loss_prob: 0.7034 loss_thr: 0.4483 loss_db: 0.1202 2022/12/19 21:38:13 - mmengine - INFO - Epoch(train) [274][55/79] lr: 5.5477e-03 eta: 4:44:17 time: 0.2018 data_time: 0.0007 memory: 1833 loss: 1.2618 loss_prob: 0.6983 loss_thr: 0.4424 loss_db: 0.1211 2022/12/19 21:38:14 - mmengine - INFO - Epoch(train) [274][60/79] lr: 5.5477e-03 eta: 4:44:16 time: 0.2040 data_time: 0.0007 memory: 1833 loss: 1.2337 loss_prob: 0.6993 loss_thr: 0.4157 loss_db: 0.1186 2022/12/19 21:38:16 - mmengine - INFO - Epoch(train) [274][65/79] lr: 5.5477e-03 eta: 4:44:15 time: 0.2352 data_time: 0.0007 memory: 1833 loss: 1.2273 loss_prob: 0.6915 loss_thr: 0.4197 loss_db: 0.1162 2022/12/19 21:38:17 - mmengine - INFO - Epoch(train) [274][70/79] lr: 5.5477e-03 eta: 4:44:15 time: 0.2696 data_time: 0.0007 memory: 1833 loss: 1.2260 loss_prob: 0.6856 loss_thr: 0.4200 loss_db: 0.1203 2022/12/19 21:38:18 - mmengine - INFO - Epoch(train) [274][75/79] lr: 5.5477e-03 eta: 4:44:13 time: 0.2468 data_time: 0.0007 memory: 1833 loss: 1.1682 loss_prob: 0.6523 loss_thr: 0.3993 loss_db: 0.1166 2022/12/19 21:38:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:38:21 - mmengine - INFO - Epoch(train) [275][5/79] lr: 5.5423e-03 eta: 4:44:15 time: 0.3523 data_time: 0.0248 memory: 1833 loss: 1.1130 loss_prob: 0.5947 loss_thr: 0.4135 loss_db: 0.1048 2022/12/19 21:38:23 - mmengine - INFO - Epoch(train) [275][10/79] lr: 5.5423e-03 eta: 4:44:15 time: 0.3822 data_time: 0.0249 memory: 1833 loss: 1.1492 loss_prob: 0.6238 loss_thr: 0.4168 loss_db: 0.1086 2022/12/19 21:38:24 - mmengine - INFO - Epoch(train) [275][15/79] lr: 5.5423e-03 eta: 4:44:13 time: 0.2411 data_time: 0.0009 memory: 1833 loss: 1.1656 loss_prob: 0.6390 loss_thr: 0.4167 loss_db: 0.1099 2022/12/19 21:38:25 - mmengine - INFO - Epoch(train) [275][20/79] lr: 5.5423e-03 eta: 4:44:12 time: 0.2163 data_time: 0.0009 memory: 1833 loss: 1.1751 loss_prob: 0.6491 loss_thr: 0.4151 loss_db: 0.1109 2022/12/19 21:38:26 - mmengine - INFO - Epoch(train) [275][25/79] lr: 5.5423e-03 eta: 4:44:10 time: 0.2181 data_time: 0.0008 memory: 1833 loss: 1.1519 loss_prob: 0.6300 loss_thr: 0.4132 loss_db: 0.1087 2022/12/19 21:38:27 - mmengine - INFO - Epoch(train) [275][30/79] lr: 5.5423e-03 eta: 4:44:09 time: 0.2210 data_time: 0.0008 memory: 1833 loss: 1.1472 loss_prob: 0.6190 loss_thr: 0.4181 loss_db: 0.1101 2022/12/19 21:38:28 - mmengine - INFO - Epoch(train) [275][35/79] lr: 5.5423e-03 eta: 4:44:08 time: 0.2315 data_time: 0.0008 memory: 1833 loss: 1.2305 loss_prob: 0.6890 loss_thr: 0.4202 loss_db: 0.1213 2022/12/19 21:38:29 - mmengine - INFO - Epoch(train) [275][40/79] lr: 5.5423e-03 eta: 4:44:06 time: 0.2269 data_time: 0.0008 memory: 1833 loss: 1.2445 loss_prob: 0.7052 loss_thr: 0.4197 loss_db: 0.1196 2022/12/19 21:38:30 - mmengine - INFO - Epoch(train) [275][45/79] lr: 5.5423e-03 eta: 4:44:05 time: 0.2133 data_time: 0.0008 memory: 1833 loss: 1.1915 loss_prob: 0.6607 loss_thr: 0.4175 loss_db: 0.1133 2022/12/19 21:38:32 - mmengine - INFO - Epoch(train) [275][50/79] lr: 5.5423e-03 eta: 4:44:04 time: 0.2200 data_time: 0.0008 memory: 1833 loss: 1.1843 loss_prob: 0.6495 loss_thr: 0.4208 loss_db: 0.1140 2022/12/19 21:38:33 - mmengine - INFO - Epoch(train) [275][55/79] lr: 5.5423e-03 eta: 4:44:02 time: 0.2172 data_time: 0.0007 memory: 1833 loss: 1.2218 loss_prob: 0.6729 loss_thr: 0.4303 loss_db: 0.1185 2022/12/19 21:38:34 - mmengine - INFO - Epoch(train) [275][60/79] lr: 5.5423e-03 eta: 4:44:01 time: 0.2313 data_time: 0.0007 memory: 1833 loss: 1.1458 loss_prob: 0.6379 loss_thr: 0.3969 loss_db: 0.1109 2022/12/19 21:38:35 - mmengine - INFO - Epoch(train) [275][65/79] lr: 5.5423e-03 eta: 4:44:00 time: 0.2380 data_time: 0.0007 memory: 1833 loss: 1.1461 loss_prob: 0.6391 loss_thr: 0.3966 loss_db: 0.1104 2022/12/19 21:38:36 - mmengine - INFO - Epoch(train) [275][70/79] lr: 5.5423e-03 eta: 4:43:58 time: 0.2094 data_time: 0.0007 memory: 1833 loss: 1.2422 loss_prob: 0.6878 loss_thr: 0.4325 loss_db: 0.1220 2022/12/19 21:38:37 - mmengine - INFO - Epoch(train) [275][75/79] lr: 5.5423e-03 eta: 4:43:57 time: 0.2080 data_time: 0.0007 memory: 1833 loss: 1.2051 loss_prob: 0.6683 loss_thr: 0.4191 loss_db: 0.1177 2022/12/19 21:38:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:38:41 - mmengine - INFO - Epoch(train) [276][5/79] lr: 5.5369e-03 eta: 4:43:59 time: 0.3650 data_time: 0.1315 memory: 1833 loss: 1.2432 loss_prob: 0.6959 loss_thr: 0.4264 loss_db: 0.1209 2022/12/19 21:38:42 - mmengine - INFO - Epoch(train) [276][10/79] lr: 5.5369e-03 eta: 4:43:58 time: 0.3780 data_time: 0.1316 memory: 1833 loss: 1.3013 loss_prob: 0.7262 loss_thr: 0.4510 loss_db: 0.1242 2022/12/19 21:38:43 - mmengine - INFO - Epoch(train) [276][15/79] lr: 5.5369e-03 eta: 4:43:56 time: 0.2193 data_time: 0.0008 memory: 1833 loss: 1.3346 loss_prob: 0.7343 loss_thr: 0.4736 loss_db: 0.1267 2022/12/19 21:38:44 - mmengine - INFO - Epoch(train) [276][20/79] lr: 5.5369e-03 eta: 4:43:55 time: 0.2269 data_time: 0.0008 memory: 1833 loss: 1.2127 loss_prob: 0.6472 loss_thr: 0.4518 loss_db: 0.1138 2022/12/19 21:38:45 - mmengine - INFO - Epoch(train) [276][25/79] lr: 5.5369e-03 eta: 4:43:54 time: 0.2315 data_time: 0.0008 memory: 1833 loss: 1.1497 loss_prob: 0.6179 loss_thr: 0.4219 loss_db: 0.1099 2022/12/19 21:38:46 - mmengine - INFO - Epoch(train) [276][30/79] lr: 5.5369e-03 eta: 4:43:52 time: 0.2189 data_time: 0.0008 memory: 1833 loss: 1.1557 loss_prob: 0.6405 loss_thr: 0.4034 loss_db: 0.1118 2022/12/19 21:38:47 - mmengine - INFO - Epoch(train) [276][35/79] lr: 5.5369e-03 eta: 4:43:51 time: 0.2136 data_time: 0.0008 memory: 1833 loss: 1.2518 loss_prob: 0.6932 loss_thr: 0.4383 loss_db: 0.1203 2022/12/19 21:38:48 - mmengine - INFO - Epoch(train) [276][40/79] lr: 5.5369e-03 eta: 4:43:50 time: 0.2239 data_time: 0.0008 memory: 1833 loss: 1.3011 loss_prob: 0.7294 loss_thr: 0.4470 loss_db: 0.1247 2022/12/19 21:38:49 - mmengine - INFO - Epoch(train) [276][45/79] lr: 5.5369e-03 eta: 4:43:48 time: 0.2139 data_time: 0.0008 memory: 1833 loss: 1.3100 loss_prob: 0.7473 loss_thr: 0.4356 loss_db: 0.1271 2022/12/19 21:38:50 - mmengine - INFO - Epoch(train) [276][50/79] lr: 5.5369e-03 eta: 4:43:46 time: 0.1979 data_time: 0.0007 memory: 1833 loss: 1.3067 loss_prob: 0.7297 loss_thr: 0.4501 loss_db: 0.1269 2022/12/19 21:38:51 - mmengine - INFO - Epoch(train) [276][55/79] lr: 5.5369e-03 eta: 4:43:45 time: 0.2110 data_time: 0.0012 memory: 1833 loss: 1.3290 loss_prob: 0.7383 loss_thr: 0.4619 loss_db: 0.1288 2022/12/19 21:38:53 - mmengine - INFO - Epoch(train) [276][60/79] lr: 5.5369e-03 eta: 4:43:44 time: 0.2282 data_time: 0.0012 memory: 1833 loss: 1.2545 loss_prob: 0.7152 loss_thr: 0.4176 loss_db: 0.1216 2022/12/19 21:38:54 - mmengine - INFO - Epoch(train) [276][65/79] lr: 5.5369e-03 eta: 4:43:42 time: 0.2185 data_time: 0.0008 memory: 1833 loss: 1.1645 loss_prob: 0.6557 loss_thr: 0.3979 loss_db: 0.1110 2022/12/19 21:38:55 - mmengine - INFO - Epoch(train) [276][70/79] lr: 5.5369e-03 eta: 4:43:41 time: 0.2386 data_time: 0.0009 memory: 1833 loss: 1.1315 loss_prob: 0.6198 loss_thr: 0.4050 loss_db: 0.1068 2022/12/19 21:38:56 - mmengine - INFO - Epoch(train) [276][75/79] lr: 5.5369e-03 eta: 4:43:40 time: 0.2449 data_time: 0.0010 memory: 1833 loss: 1.1271 loss_prob: 0.6106 loss_thr: 0.4108 loss_db: 0.1057 2022/12/19 21:38:57 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:38:59 - mmengine - INFO - Epoch(train) [277][5/79] lr: 5.5315e-03 eta: 4:43:41 time: 0.3132 data_time: 0.0324 memory: 1833 loss: 1.1406 loss_prob: 0.6169 loss_thr: 0.4175 loss_db: 0.1061 2022/12/19 21:39:00 - mmengine - INFO - Epoch(train) [277][10/79] lr: 5.5315e-03 eta: 4:43:40 time: 0.3439 data_time: 0.0324 memory: 1833 loss: 1.2838 loss_prob: 0.7279 loss_thr: 0.4351 loss_db: 0.1208 2022/12/19 21:39:01 - mmengine - INFO - Epoch(train) [277][15/79] lr: 5.5315e-03 eta: 4:43:39 time: 0.2419 data_time: 0.0014 memory: 1833 loss: 1.3623 loss_prob: 0.7731 loss_thr: 0.4604 loss_db: 0.1287 2022/12/19 21:39:03 - mmengine - INFO - Epoch(train) [277][20/79] lr: 5.5315e-03 eta: 4:43:38 time: 0.2287 data_time: 0.0013 memory: 1833 loss: 1.1906 loss_prob: 0.6384 loss_thr: 0.4425 loss_db: 0.1098 2022/12/19 21:39:04 - mmengine - INFO - Epoch(train) [277][25/79] lr: 5.5315e-03 eta: 4:43:36 time: 0.2286 data_time: 0.0008 memory: 1833 loss: 1.1429 loss_prob: 0.6119 loss_thr: 0.4245 loss_db: 0.1065 2022/12/19 21:39:05 - mmengine - INFO - Epoch(train) [277][30/79] lr: 5.5315e-03 eta: 4:43:35 time: 0.2165 data_time: 0.0009 memory: 1833 loss: 1.1366 loss_prob: 0.6113 loss_thr: 0.4178 loss_db: 0.1074 2022/12/19 21:39:06 - mmengine - INFO - Epoch(train) [277][35/79] lr: 5.5315e-03 eta: 4:43:33 time: 0.2169 data_time: 0.0009 memory: 1833 loss: 1.0632 loss_prob: 0.5698 loss_thr: 0.3917 loss_db: 0.1016 2022/12/19 21:39:07 - mmengine - INFO - Epoch(train) [277][40/79] lr: 5.5315e-03 eta: 4:43:32 time: 0.2187 data_time: 0.0008 memory: 1833 loss: 1.1437 loss_prob: 0.6287 loss_thr: 0.4072 loss_db: 0.1077 2022/12/19 21:39:08 - mmengine - INFO - Epoch(train) [277][45/79] lr: 5.5315e-03 eta: 4:43:31 time: 0.2170 data_time: 0.0008 memory: 1833 loss: 1.1400 loss_prob: 0.6271 loss_thr: 0.4078 loss_db: 0.1051 2022/12/19 21:39:09 - mmengine - INFO - Epoch(train) [277][50/79] lr: 5.5315e-03 eta: 4:43:29 time: 0.2089 data_time: 0.0008 memory: 1833 loss: 1.1389 loss_prob: 0.6259 loss_thr: 0.4083 loss_db: 0.1047 2022/12/19 21:39:10 - mmengine - INFO - Epoch(train) [277][55/79] lr: 5.5315e-03 eta: 4:43:27 time: 0.2114 data_time: 0.0007 memory: 1833 loss: 1.2172 loss_prob: 0.6752 loss_thr: 0.4246 loss_db: 0.1174 2022/12/19 21:39:11 - mmengine - INFO - Epoch(train) [277][60/79] lr: 5.5315e-03 eta: 4:43:26 time: 0.2312 data_time: 0.0008 memory: 1833 loss: 1.1208 loss_prob: 0.6031 loss_thr: 0.4109 loss_db: 0.1067 2022/12/19 21:39:13 - mmengine - INFO - Epoch(train) [277][65/79] lr: 5.5315e-03 eta: 4:43:25 time: 0.2300 data_time: 0.0009 memory: 1833 loss: 1.2497 loss_prob: 0.6924 loss_thr: 0.4367 loss_db: 0.1207 2022/12/19 21:39:14 - mmengine - INFO - Epoch(train) [277][70/79] lr: 5.5315e-03 eta: 4:43:24 time: 0.2351 data_time: 0.0008 memory: 1833 loss: 1.3076 loss_prob: 0.7441 loss_thr: 0.4347 loss_db: 0.1288 2022/12/19 21:39:15 - mmengine - INFO - Epoch(train) [277][75/79] lr: 5.5315e-03 eta: 4:43:23 time: 0.2296 data_time: 0.0008 memory: 1833 loss: 1.1355 loss_prob: 0.6475 loss_thr: 0.3824 loss_db: 0.1056 2022/12/19 21:39:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:39:18 - mmengine - INFO - Epoch(train) [278][5/79] lr: 5.5261e-03 eta: 4:43:24 time: 0.3307 data_time: 0.0242 memory: 1833 loss: 1.1973 loss_prob: 0.6455 loss_thr: 0.4378 loss_db: 0.1140 2022/12/19 21:39:19 - mmengine - INFO - Epoch(train) [278][10/79] lr: 5.5261e-03 eta: 4:43:23 time: 0.3527 data_time: 0.0243 memory: 1833 loss: 1.3617 loss_prob: 0.7587 loss_thr: 0.4717 loss_db: 0.1313 2022/12/19 21:39:20 - mmengine - INFO - Epoch(train) [278][15/79] lr: 5.5261e-03 eta: 4:43:22 time: 0.2375 data_time: 0.0010 memory: 1833 loss: 1.3249 loss_prob: 0.7468 loss_thr: 0.4492 loss_db: 0.1289 2022/12/19 21:39:22 - mmengine - INFO - Epoch(train) [278][20/79] lr: 5.5261e-03 eta: 4:43:21 time: 0.2407 data_time: 0.0012 memory: 1833 loss: 1.1882 loss_prob: 0.6600 loss_thr: 0.4146 loss_db: 0.1136 2022/12/19 21:39:23 - mmengine - INFO - Epoch(train) [278][25/79] lr: 5.5261e-03 eta: 4:43:19 time: 0.2332 data_time: 0.0010 memory: 1833 loss: 1.2990 loss_prob: 0.7327 loss_thr: 0.4400 loss_db: 0.1264 2022/12/19 21:39:24 - mmengine - INFO - Epoch(train) [278][30/79] lr: 5.5261e-03 eta: 4:43:18 time: 0.2247 data_time: 0.0008 memory: 1833 loss: 1.2544 loss_prob: 0.7083 loss_thr: 0.4253 loss_db: 0.1207 2022/12/19 21:39:25 - mmengine - INFO - Epoch(train) [278][35/79] lr: 5.5261e-03 eta: 4:43:17 time: 0.2330 data_time: 0.0008 memory: 1833 loss: 1.2341 loss_prob: 0.6979 loss_thr: 0.4201 loss_db: 0.1160 2022/12/19 21:39:26 - mmengine - INFO - Epoch(train) [278][40/79] lr: 5.5261e-03 eta: 4:43:16 time: 0.2340 data_time: 0.0008 memory: 1833 loss: 1.3178 loss_prob: 0.7521 loss_thr: 0.4386 loss_db: 0.1271 2022/12/19 21:39:27 - mmengine - INFO - Epoch(train) [278][45/79] lr: 5.5261e-03 eta: 4:43:15 time: 0.2369 data_time: 0.0009 memory: 1833 loss: 1.4075 loss_prob: 0.7995 loss_thr: 0.4682 loss_db: 0.1397 2022/12/19 21:39:29 - mmengine - INFO - Epoch(train) [278][50/79] lr: 5.5261e-03 eta: 4:43:14 time: 0.2540 data_time: 0.0010 memory: 1833 loss: 1.4492 loss_prob: 0.8176 loss_thr: 0.4908 loss_db: 0.1409 2022/12/19 21:39:30 - mmengine - INFO - Epoch(train) [278][55/79] lr: 5.5261e-03 eta: 4:43:13 time: 0.2494 data_time: 0.0009 memory: 1833 loss: 1.3135 loss_prob: 0.7348 loss_thr: 0.4537 loss_db: 0.1250 2022/12/19 21:39:31 - mmengine - INFO - Epoch(train) [278][60/79] lr: 5.5261e-03 eta: 4:43:12 time: 0.2398 data_time: 0.0008 memory: 1833 loss: 1.2135 loss_prob: 0.6713 loss_thr: 0.4292 loss_db: 0.1130 2022/12/19 21:39:32 - mmengine - INFO - Epoch(train) [278][65/79] lr: 5.5261e-03 eta: 4:43:10 time: 0.2250 data_time: 0.0007 memory: 1833 loss: 1.2491 loss_prob: 0.6825 loss_thr: 0.4511 loss_db: 0.1154 2022/12/19 21:39:33 - mmengine - INFO - Epoch(train) [278][70/79] lr: 5.5261e-03 eta: 4:43:09 time: 0.2003 data_time: 0.0007 memory: 1833 loss: 1.3022 loss_prob: 0.7213 loss_thr: 0.4548 loss_db: 0.1261 2022/12/19 21:39:34 - mmengine - INFO - Epoch(train) [278][75/79] lr: 5.5261e-03 eta: 4:43:07 time: 0.2108 data_time: 0.0007 memory: 1833 loss: 1.3599 loss_prob: 0.7570 loss_thr: 0.4742 loss_db: 0.1287 2022/12/19 21:39:35 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:39:37 - mmengine - INFO - Epoch(train) [279][5/79] lr: 5.5207e-03 eta: 4:43:09 time: 0.3351 data_time: 0.0977 memory: 1833 loss: 1.1493 loss_prob: 0.6278 loss_thr: 0.4108 loss_db: 0.1107 2022/12/19 21:39:38 - mmengine - INFO - Epoch(train) [279][10/79] lr: 5.5207e-03 eta: 4:43:07 time: 0.3364 data_time: 0.0973 memory: 1833 loss: 1.0658 loss_prob: 0.5752 loss_thr: 0.3874 loss_db: 0.1032 2022/12/19 21:39:39 - mmengine - INFO - Epoch(train) [279][15/79] lr: 5.5207e-03 eta: 4:43:05 time: 0.2079 data_time: 0.0008 memory: 1833 loss: 1.2013 loss_prob: 0.6701 loss_thr: 0.4138 loss_db: 0.1174 2022/12/19 21:39:40 - mmengine - INFO - Epoch(train) [279][20/79] lr: 5.5207e-03 eta: 4:43:04 time: 0.2018 data_time: 0.0007 memory: 1833 loss: 1.2484 loss_prob: 0.7048 loss_thr: 0.4219 loss_db: 0.1217 2022/12/19 21:39:41 - mmengine - INFO - Epoch(train) [279][25/79] lr: 5.5207e-03 eta: 4:43:02 time: 0.2115 data_time: 0.0007 memory: 1833 loss: 1.3529 loss_prob: 0.7543 loss_thr: 0.4702 loss_db: 0.1284 2022/12/19 21:39:43 - mmengine - INFO - Epoch(train) [279][30/79] lr: 5.5207e-03 eta: 4:43:01 time: 0.2333 data_time: 0.0007 memory: 1833 loss: 1.3352 loss_prob: 0.7346 loss_thr: 0.4748 loss_db: 0.1258 2022/12/19 21:39:44 - mmengine - INFO - Epoch(train) [279][35/79] lr: 5.5207e-03 eta: 4:43:00 time: 0.2449 data_time: 0.0009 memory: 1833 loss: 1.2577 loss_prob: 0.6934 loss_thr: 0.4431 loss_db: 0.1212 2022/12/19 21:39:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:39:45 - mmengine - INFO - Epoch(train) [279][40/79] lr: 5.5207e-03 eta: 4:42:59 time: 0.2325 data_time: 0.0010 memory: 1833 loss: 1.2330 loss_prob: 0.6929 loss_thr: 0.4211 loss_db: 0.1190 2022/12/19 21:39:46 - mmengine - INFO - Epoch(train) [279][45/79] lr: 5.5207e-03 eta: 4:42:58 time: 0.2213 data_time: 0.0008 memory: 1833 loss: 1.3176 loss_prob: 0.7406 loss_thr: 0.4485 loss_db: 0.1285 2022/12/19 21:39:47 - mmengine - INFO - Epoch(train) [279][50/79] lr: 5.5207e-03 eta: 4:42:56 time: 0.2196 data_time: 0.0008 memory: 1833 loss: 1.2953 loss_prob: 0.7269 loss_thr: 0.4402 loss_db: 0.1281 2022/12/19 21:39:48 - mmengine - INFO - Epoch(train) [279][55/79] lr: 5.5207e-03 eta: 4:42:55 time: 0.2135 data_time: 0.0007 memory: 1833 loss: 1.2013 loss_prob: 0.6782 loss_thr: 0.4072 loss_db: 0.1159 2022/12/19 21:39:50 - mmengine - INFO - Epoch(train) [279][60/79] lr: 5.5207e-03 eta: 4:42:54 time: 0.2295 data_time: 0.0007 memory: 1833 loss: 1.2365 loss_prob: 0.6893 loss_thr: 0.4293 loss_db: 0.1180 2022/12/19 21:39:51 - mmengine - INFO - Epoch(train) [279][65/79] lr: 5.5207e-03 eta: 4:42:53 time: 0.2438 data_time: 0.0007 memory: 1833 loss: 1.2607 loss_prob: 0.6967 loss_thr: 0.4421 loss_db: 0.1219 2022/12/19 21:39:52 - mmengine - INFO - Epoch(train) [279][70/79] lr: 5.5207e-03 eta: 4:42:52 time: 0.2366 data_time: 0.0007 memory: 1833 loss: 1.3716 loss_prob: 0.7791 loss_thr: 0.4568 loss_db: 0.1356 2022/12/19 21:39:53 - mmengine - INFO - Epoch(train) [279][75/79] lr: 5.5207e-03 eta: 4:42:50 time: 0.2142 data_time: 0.0007 memory: 1833 loss: 1.3390 loss_prob: 0.7617 loss_thr: 0.4437 loss_db: 0.1337 2022/12/19 21:39:53 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:39:55 - mmengine - INFO - Epoch(train) [280][5/79] lr: 5.5153e-03 eta: 4:42:49 time: 0.2794 data_time: 0.0520 memory: 1833 loss: 1.0663 loss_prob: 0.5792 loss_thr: 0.3841 loss_db: 0.1030 2022/12/19 21:39:56 - mmengine - INFO - Epoch(train) [280][10/79] lr: 5.5153e-03 eta: 4:42:48 time: 0.2989 data_time: 0.0520 memory: 1833 loss: 1.1132 loss_prob: 0.6082 loss_thr: 0.4001 loss_db: 0.1049 2022/12/19 21:39:58 - mmengine - INFO - Epoch(train) [280][15/79] lr: 5.5153e-03 eta: 4:42:46 time: 0.2176 data_time: 0.0008 memory: 1833 loss: 1.1373 loss_prob: 0.6256 loss_thr: 0.4043 loss_db: 0.1074 2022/12/19 21:39:59 - mmengine - INFO - Epoch(train) [280][20/79] lr: 5.5153e-03 eta: 4:42:45 time: 0.2224 data_time: 0.0008 memory: 1833 loss: 1.1511 loss_prob: 0.6503 loss_thr: 0.3890 loss_db: 0.1118 2022/12/19 21:40:00 - mmengine - INFO - Epoch(train) [280][25/79] lr: 5.5153e-03 eta: 4:42:43 time: 0.2011 data_time: 0.0008 memory: 1833 loss: 1.3174 loss_prob: 0.7471 loss_thr: 0.4420 loss_db: 0.1283 2022/12/19 21:40:01 - mmengine - INFO - Epoch(train) [280][30/79] lr: 5.5153e-03 eta: 4:42:41 time: 0.1993 data_time: 0.0007 memory: 1833 loss: 1.2214 loss_prob: 0.6721 loss_thr: 0.4327 loss_db: 0.1165 2022/12/19 21:40:02 - mmengine - INFO - Epoch(train) [280][35/79] lr: 5.5153e-03 eta: 4:42:40 time: 0.2149 data_time: 0.0008 memory: 1833 loss: 1.1285 loss_prob: 0.6071 loss_thr: 0.4161 loss_db: 0.1053 2022/12/19 21:40:03 - mmengine - INFO - Epoch(train) [280][40/79] lr: 5.5153e-03 eta: 4:42:38 time: 0.2068 data_time: 0.0008 memory: 1833 loss: 1.2988 loss_prob: 0.7279 loss_thr: 0.4459 loss_db: 0.1250 2022/12/19 21:40:04 - mmengine - INFO - Epoch(train) [280][45/79] lr: 5.5153e-03 eta: 4:42:37 time: 0.2165 data_time: 0.0008 memory: 1833 loss: 1.2474 loss_prob: 0.7026 loss_thr: 0.4228 loss_db: 0.1220 2022/12/19 21:40:05 - mmengine - INFO - Epoch(train) [280][50/79] lr: 5.5153e-03 eta: 4:42:36 time: 0.2220 data_time: 0.0008 memory: 1833 loss: 1.1700 loss_prob: 0.6422 loss_thr: 0.4152 loss_db: 0.1125 2022/12/19 21:40:06 - mmengine - INFO - Epoch(train) [280][55/79] lr: 5.5153e-03 eta: 4:42:34 time: 0.2034 data_time: 0.0007 memory: 1833 loss: 1.2141 loss_prob: 0.6626 loss_thr: 0.4390 loss_db: 0.1125 2022/12/19 21:40:07 - mmengine - INFO - Epoch(train) [280][60/79] lr: 5.5153e-03 eta: 4:42:33 time: 0.2198 data_time: 0.0007 memory: 1833 loss: 1.1701 loss_prob: 0.6361 loss_thr: 0.4237 loss_db: 0.1104 2022/12/19 21:40:08 - mmengine - INFO - Epoch(train) [280][65/79] lr: 5.5153e-03 eta: 4:42:31 time: 0.2265 data_time: 0.0007 memory: 1833 loss: 1.1093 loss_prob: 0.6080 loss_thr: 0.3957 loss_db: 0.1056 2022/12/19 21:40:09 - mmengine - INFO - Epoch(train) [280][70/79] lr: 5.5153e-03 eta: 4:42:29 time: 0.1993 data_time: 0.0007 memory: 1833 loss: 1.1495 loss_prob: 0.6234 loss_thr: 0.4175 loss_db: 0.1087 2022/12/19 21:40:10 - mmengine - INFO - Epoch(train) [280][75/79] lr: 5.5153e-03 eta: 4:42:28 time: 0.1935 data_time: 0.0006 memory: 1833 loss: 1.1312 loss_prob: 0.6090 loss_thr: 0.4155 loss_db: 0.1067 2022/12/19 21:40:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:40:11 - mmengine - INFO - Epoch(val) [280][5/75] eta: 0:00:01 time: 0.0259 data_time: 0.0113 memory: 1833 2022/12/19 21:40:11 - mmengine - INFO - Epoch(val) [280][10/75] eta: 0:00:01 time: 0.0185 data_time: 0.0028 memory: 425 2022/12/19 21:40:11 - mmengine - INFO - Epoch(val) [280][15/75] eta: 0:00:01 time: 0.0366 data_time: 0.0003 memory: 425 2022/12/19 21:40:11 - mmengine - INFO - Epoch(val) [280][20/75] eta: 0:00:01 time: 0.0418 data_time: 0.0005 memory: 425 2022/12/19 21:40:12 - mmengine - INFO - Epoch(val) [280][25/75] eta: 0:00:01 time: 0.0431 data_time: 0.0174 memory: 390 2022/12/19 21:40:12 - mmengine - INFO - Epoch(val) [280][30/75] eta: 0:00:02 time: 0.0886 data_time: 0.0523 memory: 390 2022/12/19 21:40:13 - mmengine - INFO - Epoch(val) [280][35/75] eta: 0:00:01 time: 0.0782 data_time: 0.0472 memory: 368 2022/12/19 21:40:13 - mmengine - INFO - Epoch(val) [280][40/75] eta: 0:00:01 time: 0.0432 data_time: 0.0245 memory: 390 2022/12/19 21:40:13 - mmengine - INFO - Epoch(val) [280][45/75] eta: 0:00:01 time: 0.0335 data_time: 0.0128 memory: 425 2022/12/19 21:40:13 - mmengine - INFO - Epoch(val) [280][50/75] eta: 0:00:01 time: 0.0194 data_time: 0.0003 memory: 430 2022/12/19 21:40:13 - mmengine - INFO - Epoch(val) [280][55/75] eta: 0:00:00 time: 0.0213 data_time: 0.0031 memory: 407 2022/12/19 21:40:13 - mmengine - INFO - Epoch(val) [280][60/75] eta: 0:00:00 time: 0.0272 data_time: 0.0031 memory: 390 2022/12/19 21:40:13 - mmengine - INFO - Epoch(val) [280][65/75] eta: 0:00:00 time: 0.0266 data_time: 0.0004 memory: 390 2022/12/19 21:40:14 - mmengine - INFO - Epoch(val) [280][70/75] eta: 0:00:00 time: 0.0306 data_time: 0.0004 memory: 425 2022/12/19 21:40:14 - mmengine - INFO - Epoch(val) [280][75/75] eta: 0:00:00 time: 0.0355 data_time: 0.0094 memory: 368 2022/12/19 21:40:14 - mmengine - INFO - Evaluating hmean-iou... 2022/12/19 21:40:14 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7923, precision: 0.6888, hmean: 0.7369 2022/12/19 21:40:14 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7923, precision: 0.7542, hmean: 0.7728 2022/12/19 21:40:14 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7914, precision: 0.7947, hmean: 0.7930 2022/12/19 21:40:14 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7779, precision: 0.8372, hmean: 0.8065 2022/12/19 21:40:14 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7124, precision: 0.8801, hmean: 0.7874 2022/12/19 21:40:14 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.4090, precision: 0.9389, hmean: 0.5698 2022/12/19 21:40:14 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0366, precision: 0.9878, hmean: 0.0705 2022/12/19 21:40:14 - mmengine - INFO - Epoch(val) [280][75/75] icdar/precision: 0.8372 icdar/recall: 0.7779 icdar/hmean: 0.8065 2022/12/19 21:40:14 - mmengine - INFO - The previous best checkpoint work_dirs/dbnet_resnet18_fpnc_1200e_totaltext/best_icdar/hmean_epoch_220.pth is removed 2022/12/19 21:40:15 - mmengine - INFO - The best checkpoint with 0.8065 icdar/hmean at 280 epoch is saved to best_icdar/hmean_epoch_280.pth. 2022/12/19 21:40:16 - mmengine - INFO - Epoch(train) [281][5/79] lr: 5.5099e-03 eta: 4:42:26 time: 0.2495 data_time: 0.0620 memory: 1833 loss: 1.1525 loss_prob: 0.6385 loss_thr: 0.4039 loss_db: 0.1101 2022/12/19 21:40:17 - mmengine - INFO - Epoch(train) [281][10/79] lr: 5.5099e-03 eta: 4:42:24 time: 0.2620 data_time: 0.0622 memory: 1833 loss: 1.2266 loss_prob: 0.6784 loss_thr: 0.4309 loss_db: 0.1173 2022/12/19 21:40:18 - mmengine - INFO - Epoch(train) [281][15/79] lr: 5.5099e-03 eta: 4:42:23 time: 0.2104 data_time: 0.0008 memory: 1833 loss: 1.2027 loss_prob: 0.6535 loss_thr: 0.4345 loss_db: 0.1148 2022/12/19 21:40:20 - mmengine - INFO - Epoch(train) [281][20/79] lr: 5.5099e-03 eta: 4:42:22 time: 0.2366 data_time: 0.0008 memory: 1833 loss: 1.1981 loss_prob: 0.6482 loss_thr: 0.4379 loss_db: 0.1120 2022/12/19 21:40:21 - mmengine - INFO - Epoch(train) [281][25/79] lr: 5.5099e-03 eta: 4:42:21 time: 0.2258 data_time: 0.0008 memory: 1833 loss: 1.1515 loss_prob: 0.6183 loss_thr: 0.4259 loss_db: 0.1073 2022/12/19 21:40:21 - mmengine - INFO - Epoch(train) [281][30/79] lr: 5.5099e-03 eta: 4:42:19 time: 0.1962 data_time: 0.0008 memory: 1833 loss: 1.1595 loss_prob: 0.6289 loss_thr: 0.4211 loss_db: 0.1095 2022/12/19 21:40:23 - mmengine - INFO - Epoch(train) [281][35/79] lr: 5.5099e-03 eta: 4:42:17 time: 0.2109 data_time: 0.0008 memory: 1833 loss: 1.2014 loss_prob: 0.6679 loss_thr: 0.4178 loss_db: 0.1157 2022/12/19 21:40:24 - mmengine - INFO - Epoch(train) [281][40/79] lr: 5.5099e-03 eta: 4:42:16 time: 0.2274 data_time: 0.0007 memory: 1833 loss: 1.1937 loss_prob: 0.6641 loss_thr: 0.4155 loss_db: 0.1142 2022/12/19 21:40:25 - mmengine - INFO - Epoch(train) [281][45/79] lr: 5.5099e-03 eta: 4:42:15 time: 0.2293 data_time: 0.0007 memory: 1833 loss: 1.2764 loss_prob: 0.7130 loss_thr: 0.4425 loss_db: 0.1209 2022/12/19 21:40:26 - mmengine - INFO - Epoch(train) [281][50/79] lr: 5.5099e-03 eta: 4:42:13 time: 0.2128 data_time: 0.0007 memory: 1833 loss: 1.2972 loss_prob: 0.7243 loss_thr: 0.4494 loss_db: 0.1235 2022/12/19 21:40:27 - mmengine - INFO - Epoch(train) [281][55/79] lr: 5.5099e-03 eta: 4:42:12 time: 0.2127 data_time: 0.0008 memory: 1833 loss: 1.2035 loss_prob: 0.6665 loss_thr: 0.4211 loss_db: 0.1159 2022/12/19 21:40:28 - mmengine - INFO - Epoch(train) [281][60/79] lr: 5.5099e-03 eta: 4:42:11 time: 0.2407 data_time: 0.0010 memory: 1833 loss: 1.2137 loss_prob: 0.6777 loss_thr: 0.4189 loss_db: 0.1171 2022/12/19 21:40:30 - mmengine - INFO - Epoch(train) [281][65/79] lr: 5.5099e-03 eta: 4:42:10 time: 0.2466 data_time: 0.0009 memory: 1833 loss: 1.2216 loss_prob: 0.6704 loss_thr: 0.4363 loss_db: 0.1149 2022/12/19 21:40:31 - mmengine - INFO - Epoch(train) [281][70/79] lr: 5.5099e-03 eta: 4:42:09 time: 0.2297 data_time: 0.0008 memory: 1833 loss: 1.1989 loss_prob: 0.6586 loss_thr: 0.4261 loss_db: 0.1142 2022/12/19 21:40:32 - mmengine - INFO - Epoch(train) [281][75/79] lr: 5.5099e-03 eta: 4:42:07 time: 0.2130 data_time: 0.0008 memory: 1833 loss: 1.2503 loss_prob: 0.6928 loss_thr: 0.4383 loss_db: 0.1192 2022/12/19 21:40:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:40:35 - mmengine - INFO - Epoch(train) [282][5/79] lr: 5.5045e-03 eta: 4:42:08 time: 0.3188 data_time: 0.0383 memory: 1833 loss: 1.1802 loss_prob: 0.6413 loss_thr: 0.4270 loss_db: 0.1119 2022/12/19 21:40:36 - mmengine - INFO - Epoch(train) [282][10/79] lr: 5.5045e-03 eta: 4:42:06 time: 0.3095 data_time: 0.0383 memory: 1833 loss: 1.0883 loss_prob: 0.5971 loss_thr: 0.3868 loss_db: 0.1044 2022/12/19 21:40:37 - mmengine - INFO - Epoch(train) [282][15/79] lr: 5.5045e-03 eta: 4:42:04 time: 0.1938 data_time: 0.0009 memory: 1833 loss: 1.1785 loss_prob: 0.6560 loss_thr: 0.4123 loss_db: 0.1102 2022/12/19 21:40:38 - mmengine - INFO - Epoch(train) [282][20/79] lr: 5.5045e-03 eta: 4:42:02 time: 0.1932 data_time: 0.0009 memory: 1833 loss: 1.2502 loss_prob: 0.6944 loss_thr: 0.4370 loss_db: 0.1188 2022/12/19 21:40:39 - mmengine - INFO - Epoch(train) [282][25/79] lr: 5.5045e-03 eta: 4:42:01 time: 0.1947 data_time: 0.0008 memory: 1833 loss: 1.1860 loss_prob: 0.6475 loss_thr: 0.4261 loss_db: 0.1124 2022/12/19 21:40:40 - mmengine - INFO - Epoch(train) [282][30/79] lr: 5.5045e-03 eta: 4:41:59 time: 0.2130 data_time: 0.0007 memory: 1833 loss: 1.1708 loss_prob: 0.6384 loss_thr: 0.4224 loss_db: 0.1100 2022/12/19 21:40:41 - mmengine - INFO - Epoch(train) [282][35/79] lr: 5.5045e-03 eta: 4:41:58 time: 0.2271 data_time: 0.0008 memory: 1833 loss: 1.1405 loss_prob: 0.6186 loss_thr: 0.4153 loss_db: 0.1067 2022/12/19 21:40:42 - mmengine - INFO - Epoch(train) [282][40/79] lr: 5.5045e-03 eta: 4:41:57 time: 0.2289 data_time: 0.0008 memory: 1833 loss: 1.1984 loss_prob: 0.6675 loss_thr: 0.4155 loss_db: 0.1153 2022/12/19 21:40:43 - mmengine - INFO - Epoch(train) [282][45/79] lr: 5.5045e-03 eta: 4:41:56 time: 0.2439 data_time: 0.0008 memory: 1833 loss: 1.2941 loss_prob: 0.7324 loss_thr: 0.4353 loss_db: 0.1264 2022/12/19 21:40:45 - mmengine - INFO - Epoch(train) [282][50/79] lr: 5.5045e-03 eta: 4:41:56 time: 0.2770 data_time: 0.0008 memory: 1833 loss: 1.2246 loss_prob: 0.6774 loss_thr: 0.4311 loss_db: 0.1161 2022/12/19 21:40:46 - mmengine - INFO - Epoch(train) [282][55/79] lr: 5.5045e-03 eta: 4:41:55 time: 0.2649 data_time: 0.0008 memory: 1833 loss: 1.2249 loss_prob: 0.6852 loss_thr: 0.4212 loss_db: 0.1185 2022/12/19 21:40:47 - mmengine - INFO - Epoch(train) [282][60/79] lr: 5.5045e-03 eta: 4:41:53 time: 0.2202 data_time: 0.0007 memory: 1833 loss: 1.2181 loss_prob: 0.6820 loss_thr: 0.4171 loss_db: 0.1191 2022/12/19 21:40:48 - mmengine - INFO - Epoch(train) [282][65/79] lr: 5.5045e-03 eta: 4:41:51 time: 0.2026 data_time: 0.0007 memory: 1833 loss: 1.1924 loss_prob: 0.6515 loss_thr: 0.4271 loss_db: 0.1138 2022/12/19 21:40:49 - mmengine - INFO - Epoch(train) [282][70/79] lr: 5.5045e-03 eta: 4:41:50 time: 0.1960 data_time: 0.0008 memory: 1833 loss: 1.2526 loss_prob: 0.6947 loss_thr: 0.4412 loss_db: 0.1166 2022/12/19 21:40:50 - mmengine - INFO - Epoch(train) [282][75/79] lr: 5.5045e-03 eta: 4:41:48 time: 0.2055 data_time: 0.0008 memory: 1833 loss: 1.1855 loss_prob: 0.6561 loss_thr: 0.4180 loss_db: 0.1114 2022/12/19 21:40:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:40:53 - mmengine - INFO - Epoch(train) [283][5/79] lr: 5.4991e-03 eta: 4:41:48 time: 0.3022 data_time: 0.0546 memory: 1833 loss: 1.1803 loss_prob: 0.6460 loss_thr: 0.4215 loss_db: 0.1128 2022/12/19 21:40:54 - mmengine - INFO - Epoch(train) [283][10/79] lr: 5.4991e-03 eta: 4:41:47 time: 0.3090 data_time: 0.0547 memory: 1833 loss: 1.2025 loss_prob: 0.6569 loss_thr: 0.4293 loss_db: 0.1162 2022/12/19 21:40:55 - mmengine - INFO - Epoch(train) [283][15/79] lr: 5.4991e-03 eta: 4:41:45 time: 0.2139 data_time: 0.0008 memory: 1833 loss: 1.2968 loss_prob: 0.6983 loss_thr: 0.4757 loss_db: 0.1228 2022/12/19 21:40:56 - mmengine - INFO - Epoch(train) [283][20/79] lr: 5.4991e-03 eta: 4:41:44 time: 0.2041 data_time: 0.0008 memory: 1833 loss: 1.2866 loss_prob: 0.7014 loss_thr: 0.4607 loss_db: 0.1245 2022/12/19 21:40:57 - mmengine - INFO - Epoch(train) [283][25/79] lr: 5.4991e-03 eta: 4:41:42 time: 0.2081 data_time: 0.0007 memory: 1833 loss: 1.1844 loss_prob: 0.6418 loss_thr: 0.4278 loss_db: 0.1147 2022/12/19 21:40:58 - mmengine - INFO - Epoch(train) [283][30/79] lr: 5.4991e-03 eta: 4:41:41 time: 0.2224 data_time: 0.0007 memory: 1833 loss: 1.2054 loss_prob: 0.6622 loss_thr: 0.4281 loss_db: 0.1151 2022/12/19 21:40:59 - mmengine - INFO - Epoch(train) [283][35/79] lr: 5.4991e-03 eta: 4:41:39 time: 0.2168 data_time: 0.0008 memory: 1833 loss: 1.1936 loss_prob: 0.6575 loss_thr: 0.4215 loss_db: 0.1147 2022/12/19 21:41:00 - mmengine - INFO - Epoch(train) [283][40/79] lr: 5.4991e-03 eta: 4:41:39 time: 0.2319 data_time: 0.0010 memory: 1833 loss: 1.1352 loss_prob: 0.6221 loss_thr: 0.4049 loss_db: 0.1082 2022/12/19 21:41:01 - mmengine - INFO - Epoch(train) [283][45/79] lr: 5.4991e-03 eta: 4:41:37 time: 0.2341 data_time: 0.0011 memory: 1833 loss: 1.1439 loss_prob: 0.6346 loss_thr: 0.3997 loss_db: 0.1097 2022/12/19 21:41:03 - mmengine - INFO - Epoch(train) [283][50/79] lr: 5.4991e-03 eta: 4:41:36 time: 0.2190 data_time: 0.0009 memory: 1833 loss: 1.1761 loss_prob: 0.6455 loss_thr: 0.4188 loss_db: 0.1119 2022/12/19 21:41:04 - mmengine - INFO - Epoch(train) [283][55/79] lr: 5.4991e-03 eta: 4:41:35 time: 0.2244 data_time: 0.0008 memory: 1833 loss: 1.1100 loss_prob: 0.5993 loss_thr: 0.4065 loss_db: 0.1042 2022/12/19 21:41:05 - mmengine - INFO - Epoch(train) [283][60/79] lr: 5.4991e-03 eta: 4:41:33 time: 0.2207 data_time: 0.0008 memory: 1833 loss: 1.1483 loss_prob: 0.6312 loss_thr: 0.4078 loss_db: 0.1093 2022/12/19 21:41:06 - mmengine - INFO - Epoch(train) [283][65/79] lr: 5.4991e-03 eta: 4:41:32 time: 0.2282 data_time: 0.0012 memory: 1833 loss: 1.3910 loss_prob: 0.7946 loss_thr: 0.4622 loss_db: 0.1343 2022/12/19 21:41:07 - mmengine - INFO - Epoch(train) [283][70/79] lr: 5.4991e-03 eta: 4:41:31 time: 0.2350 data_time: 0.0012 memory: 1833 loss: 1.3493 loss_prob: 0.7621 loss_thr: 0.4575 loss_db: 0.1298 2022/12/19 21:41:08 - mmengine - INFO - Epoch(train) [283][75/79] lr: 5.4991e-03 eta: 4:41:29 time: 0.2207 data_time: 0.0008 memory: 1833 loss: 1.1335 loss_prob: 0.6192 loss_thr: 0.4077 loss_db: 0.1067 2022/12/19 21:41:09 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:41:10 - mmengine - INFO - Epoch(train) [284][5/79] lr: 5.4937e-03 eta: 4:41:28 time: 0.2415 data_time: 0.0629 memory: 1833 loss: 1.4655 loss_prob: 0.8427 loss_thr: 0.4796 loss_db: 0.1433 2022/12/19 21:41:11 - mmengine - INFO - Epoch(train) [284][10/79] lr: 5.4937e-03 eta: 4:41:26 time: 0.2612 data_time: 0.0629 memory: 1833 loss: 1.1595 loss_prob: 0.6322 loss_thr: 0.4170 loss_db: 0.1102 2022/12/19 21:41:12 - mmengine - INFO - Epoch(train) [284][15/79] lr: 5.4937e-03 eta: 4:41:24 time: 0.1992 data_time: 0.0008 memory: 1833 loss: 1.1460 loss_prob: 0.6322 loss_thr: 0.4031 loss_db: 0.1108 2022/12/19 21:41:13 - mmengine - INFO - Epoch(train) [284][20/79] lr: 5.4937e-03 eta: 4:41:22 time: 0.1967 data_time: 0.0008 memory: 1833 loss: 1.2812 loss_prob: 0.7152 loss_thr: 0.4440 loss_db: 0.1221 2022/12/19 21:41:15 - mmengine - INFO - Epoch(train) [284][25/79] lr: 5.4937e-03 eta: 4:41:21 time: 0.2185 data_time: 0.0008 memory: 1833 loss: 1.2796 loss_prob: 0.7227 loss_thr: 0.4344 loss_db: 0.1225 2022/12/19 21:41:16 - mmengine - INFO - Epoch(train) [284][30/79] lr: 5.4937e-03 eta: 4:41:21 time: 0.2553 data_time: 0.0008 memory: 1833 loss: 1.1453 loss_prob: 0.6342 loss_thr: 0.4011 loss_db: 0.1100 2022/12/19 21:41:17 - mmengine - INFO - Epoch(train) [284][35/79] lr: 5.4937e-03 eta: 4:41:20 time: 0.2533 data_time: 0.0010 memory: 1833 loss: 1.1127 loss_prob: 0.6005 loss_thr: 0.4079 loss_db: 0.1042 2022/12/19 21:41:18 - mmengine - INFO - Epoch(train) [284][40/79] lr: 5.4937e-03 eta: 4:41:18 time: 0.2143 data_time: 0.0009 memory: 1833 loss: 1.2452 loss_prob: 0.6875 loss_thr: 0.4431 loss_db: 0.1147 2022/12/19 21:41:19 - mmengine - INFO - Epoch(train) [284][45/79] lr: 5.4937e-03 eta: 4:41:17 time: 0.2251 data_time: 0.0008 memory: 1833 loss: 1.3542 loss_prob: 0.7715 loss_thr: 0.4530 loss_db: 0.1297 2022/12/19 21:41:20 - mmengine - INFO - Epoch(train) [284][50/79] lr: 5.4937e-03 eta: 4:41:15 time: 0.2283 data_time: 0.0008 memory: 1833 loss: 1.1919 loss_prob: 0.6787 loss_thr: 0.3946 loss_db: 0.1186 2022/12/19 21:41:22 - mmengine - INFO - Epoch(train) [284][55/79] lr: 5.4937e-03 eta: 4:41:14 time: 0.2159 data_time: 0.0008 memory: 1833 loss: 1.2160 loss_prob: 0.6845 loss_thr: 0.4104 loss_db: 0.1211 2022/12/19 21:41:23 - mmengine - INFO - Epoch(train) [284][60/79] lr: 5.4937e-03 eta: 4:41:13 time: 0.2300 data_time: 0.0008 memory: 1833 loss: 1.2471 loss_prob: 0.6852 loss_thr: 0.4393 loss_db: 0.1225 2022/12/19 21:41:24 - mmengine - INFO - Epoch(train) [284][65/79] lr: 5.4937e-03 eta: 4:41:12 time: 0.2317 data_time: 0.0007 memory: 1833 loss: 1.1903 loss_prob: 0.6527 loss_thr: 0.4222 loss_db: 0.1154 2022/12/19 21:41:25 - mmengine - INFO - Epoch(train) [284][70/79] lr: 5.4937e-03 eta: 4:41:10 time: 0.2118 data_time: 0.0007 memory: 1833 loss: 1.1843 loss_prob: 0.6535 loss_thr: 0.4179 loss_db: 0.1128 2022/12/19 21:41:26 - mmengine - INFO - Epoch(train) [284][75/79] lr: 5.4937e-03 eta: 4:41:08 time: 0.2005 data_time: 0.0007 memory: 1833 loss: 1.1500 loss_prob: 0.6279 loss_thr: 0.4155 loss_db: 0.1065 2022/12/19 21:41:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:41:29 - mmengine - INFO - Epoch(train) [285][5/79] lr: 5.4883e-03 eta: 4:41:09 time: 0.3023 data_time: 0.1028 memory: 1833 loss: 1.2871 loss_prob: 0.7214 loss_thr: 0.4413 loss_db: 0.1245 2022/12/19 21:41:30 - mmengine - INFO - Epoch(train) [285][10/79] lr: 5.4883e-03 eta: 4:41:07 time: 0.3222 data_time: 0.1025 memory: 1833 loss: 1.2847 loss_prob: 0.7000 loss_thr: 0.4632 loss_db: 0.1214 2022/12/19 21:41:31 - mmengine - INFO - Epoch(train) [285][15/79] lr: 5.4883e-03 eta: 4:41:06 time: 0.2114 data_time: 0.0008 memory: 1833 loss: 1.3502 loss_prob: 0.7394 loss_thr: 0.4817 loss_db: 0.1292 2022/12/19 21:41:32 - mmengine - INFO - Epoch(train) [285][20/79] lr: 5.4883e-03 eta: 4:41:04 time: 0.2141 data_time: 0.0008 memory: 1833 loss: 1.2070 loss_prob: 0.6595 loss_thr: 0.4329 loss_db: 0.1147 2022/12/19 21:41:33 - mmengine - INFO - Epoch(train) [285][25/79] lr: 5.4883e-03 eta: 4:41:04 time: 0.2430 data_time: 0.0010 memory: 1833 loss: 1.2145 loss_prob: 0.6777 loss_thr: 0.4211 loss_db: 0.1156 2022/12/19 21:41:34 - mmengine - INFO - Epoch(train) [285][30/79] lr: 5.4883e-03 eta: 4:41:02 time: 0.2253 data_time: 0.0010 memory: 1833 loss: 1.1239 loss_prob: 0.6146 loss_thr: 0.4030 loss_db: 0.1063 2022/12/19 21:41:35 - mmengine - INFO - Epoch(train) [285][35/79] lr: 5.4883e-03 eta: 4:41:00 time: 0.2089 data_time: 0.0008 memory: 1833 loss: 1.0875 loss_prob: 0.5988 loss_thr: 0.3838 loss_db: 0.1049 2022/12/19 21:41:36 - mmengine - INFO - Epoch(train) [285][40/79] lr: 5.4883e-03 eta: 4:40:59 time: 0.2125 data_time: 0.0008 memory: 1833 loss: 1.2443 loss_prob: 0.7038 loss_thr: 0.4189 loss_db: 0.1216 2022/12/19 21:41:37 - mmengine - INFO - Epoch(train) [285][45/79] lr: 5.4883e-03 eta: 4:40:58 time: 0.2132 data_time: 0.0008 memory: 1833 loss: 1.2314 loss_prob: 0.6788 loss_thr: 0.4351 loss_db: 0.1175 2022/12/19 21:41:39 - mmengine - INFO - Epoch(train) [285][50/79] lr: 5.4883e-03 eta: 4:40:57 time: 0.2328 data_time: 0.0008 memory: 1833 loss: 1.2203 loss_prob: 0.6709 loss_thr: 0.4325 loss_db: 0.1169 2022/12/19 21:41:40 - mmengine - INFO - Epoch(train) [285][55/79] lr: 5.4883e-03 eta: 4:40:55 time: 0.2239 data_time: 0.0007 memory: 1833 loss: 1.1862 loss_prob: 0.6593 loss_thr: 0.4111 loss_db: 0.1158 2022/12/19 21:41:41 - mmengine - INFO - Epoch(train) [285][60/79] lr: 5.4883e-03 eta: 4:40:53 time: 0.2048 data_time: 0.0007 memory: 1833 loss: 1.2494 loss_prob: 0.7405 loss_thr: 0.3944 loss_db: 0.1145 2022/12/19 21:41:42 - mmengine - INFO - Epoch(train) [285][65/79] lr: 5.4883e-03 eta: 4:40:52 time: 0.2128 data_time: 0.0007 memory: 1833 loss: 1.1908 loss_prob: 0.6991 loss_thr: 0.3837 loss_db: 0.1080 2022/12/19 21:41:43 - mmengine - INFO - Epoch(train) [285][70/79] lr: 5.4883e-03 eta: 4:40:51 time: 0.2210 data_time: 0.0011 memory: 1833 loss: 1.1015 loss_prob: 0.5923 loss_thr: 0.4055 loss_db: 0.1037 2022/12/19 21:41:44 - mmengine - INFO - Epoch(train) [285][75/79] lr: 5.4883e-03 eta: 4:40:49 time: 0.2179 data_time: 0.0011 memory: 1833 loss: 1.0648 loss_prob: 0.5740 loss_thr: 0.3922 loss_db: 0.0985 2022/12/19 21:41:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:41:47 - mmengine - INFO - Epoch(train) [286][5/79] lr: 5.4829e-03 eta: 4:40:49 time: 0.3053 data_time: 0.0247 memory: 1833 loss: 1.1594 loss_prob: 0.6442 loss_thr: 0.4047 loss_db: 0.1104 2022/12/19 21:41:48 - mmengine - INFO - Epoch(train) [286][10/79] lr: 5.4829e-03 eta: 4:40:48 time: 0.3195 data_time: 0.0247 memory: 1833 loss: 1.2060 loss_prob: 0.6718 loss_thr: 0.4166 loss_db: 0.1176 2022/12/19 21:41:49 - mmengine - INFO - Epoch(train) [286][15/79] lr: 5.4829e-03 eta: 4:40:47 time: 0.2366 data_time: 0.0011 memory: 1833 loss: 1.1740 loss_prob: 0.6430 loss_thr: 0.4168 loss_db: 0.1143 2022/12/19 21:41:50 - mmengine - INFO - Epoch(train) [286][20/79] lr: 5.4829e-03 eta: 4:40:46 time: 0.2374 data_time: 0.0011 memory: 1833 loss: 1.1497 loss_prob: 0.6330 loss_thr: 0.4033 loss_db: 0.1134 2022/12/19 21:41:51 - mmengine - INFO - Epoch(train) [286][25/79] lr: 5.4829e-03 eta: 4:40:44 time: 0.2042 data_time: 0.0009 memory: 1833 loss: 1.1737 loss_prob: 0.6525 loss_thr: 0.4054 loss_db: 0.1157 2022/12/19 21:41:52 - mmengine - INFO - Epoch(train) [286][30/79] lr: 5.4829e-03 eta: 4:40:42 time: 0.2026 data_time: 0.0008 memory: 1833 loss: 1.1197 loss_prob: 0.6145 loss_thr: 0.3973 loss_db: 0.1080 2022/12/19 21:41:53 - mmengine - INFO - Epoch(train) [286][35/79] lr: 5.4829e-03 eta: 4:40:41 time: 0.2219 data_time: 0.0009 memory: 1833 loss: 1.1850 loss_prob: 0.6545 loss_thr: 0.4157 loss_db: 0.1148 2022/12/19 21:41:55 - mmengine - INFO - Epoch(train) [286][40/79] lr: 5.4829e-03 eta: 4:40:40 time: 0.2447 data_time: 0.0010 memory: 1833 loss: 1.3288 loss_prob: 0.7512 loss_thr: 0.4509 loss_db: 0.1267 2022/12/19 21:41:56 - mmengine - INFO - Epoch(train) [286][45/79] lr: 5.4829e-03 eta: 4:40:39 time: 0.2480 data_time: 0.0009 memory: 1833 loss: 1.3177 loss_prob: 0.7392 loss_thr: 0.4529 loss_db: 0.1256 2022/12/19 21:41:57 - mmengine - INFO - Epoch(train) [286][50/79] lr: 5.4829e-03 eta: 4:40:38 time: 0.2326 data_time: 0.0009 memory: 1833 loss: 1.3043 loss_prob: 0.7194 loss_thr: 0.4588 loss_db: 0.1261 2022/12/19 21:41:58 - mmengine - INFO - Epoch(train) [286][55/79] lr: 5.4829e-03 eta: 4:40:37 time: 0.2418 data_time: 0.0008 memory: 1833 loss: 1.3325 loss_prob: 0.7444 loss_thr: 0.4585 loss_db: 0.1296 2022/12/19 21:41:59 - mmengine - INFO - Epoch(train) [286][60/79] lr: 5.4829e-03 eta: 4:40:36 time: 0.2285 data_time: 0.0007 memory: 1833 loss: 1.2460 loss_prob: 0.6923 loss_thr: 0.4324 loss_db: 0.1214 2022/12/19 21:42:00 - mmengine - INFO - Epoch(train) [286][65/79] lr: 5.4829e-03 eta: 4:40:34 time: 0.2085 data_time: 0.0007 memory: 1833 loss: 1.1349 loss_prob: 0.6211 loss_thr: 0.4045 loss_db: 0.1093 2022/12/19 21:42:01 - mmengine - INFO - Epoch(train) [286][70/79] lr: 5.4829e-03 eta: 4:40:33 time: 0.2115 data_time: 0.0011 memory: 1833 loss: 1.1633 loss_prob: 0.6469 loss_thr: 0.4035 loss_db: 0.1128 2022/12/19 21:42:03 - mmengine - INFO - Epoch(train) [286][75/79] lr: 5.4829e-03 eta: 4:40:31 time: 0.2122 data_time: 0.0012 memory: 1833 loss: 1.2200 loss_prob: 0.6813 loss_thr: 0.4220 loss_db: 0.1166 2022/12/19 21:42:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:42:07 - mmengine - INFO - Epoch(train) [287][5/79] lr: 5.4775e-03 eta: 4:40:35 time: 0.4341 data_time: 0.2256 memory: 1833 loss: 1.2516 loss_prob: 0.6835 loss_thr: 0.4492 loss_db: 0.1190 2022/12/19 21:42:08 - mmengine - INFO - Epoch(train) [287][10/79] lr: 5.4775e-03 eta: 4:40:34 time: 0.4403 data_time: 0.2256 memory: 1833 loss: 1.2586 loss_prob: 0.6939 loss_thr: 0.4438 loss_db: 0.1210 2022/12/19 21:42:09 - mmengine - INFO - Epoch(train) [287][15/79] lr: 5.4775e-03 eta: 4:40:33 time: 0.2313 data_time: 0.0008 memory: 1833 loss: 1.0874 loss_prob: 0.5903 loss_thr: 0.3959 loss_db: 0.1012 2022/12/19 21:42:10 - mmengine - INFO - Epoch(train) [287][20/79] lr: 5.4775e-03 eta: 4:40:31 time: 0.2306 data_time: 0.0008 memory: 1833 loss: 1.0176 loss_prob: 0.5357 loss_thr: 0.3866 loss_db: 0.0953 2022/12/19 21:42:11 - mmengine - INFO - Epoch(train) [287][25/79] lr: 5.4775e-03 eta: 4:40:30 time: 0.2167 data_time: 0.0008 memory: 1833 loss: 1.0331 loss_prob: 0.5497 loss_thr: 0.3862 loss_db: 0.0972 2022/12/19 21:42:12 - mmengine - INFO - Epoch(train) [287][30/79] lr: 5.4775e-03 eta: 4:40:29 time: 0.2182 data_time: 0.0008 memory: 1833 loss: 1.0364 loss_prob: 0.5629 loss_thr: 0.3752 loss_db: 0.0983 2022/12/19 21:42:13 - mmengine - INFO - Epoch(train) [287][35/79] lr: 5.4775e-03 eta: 4:40:28 time: 0.2318 data_time: 0.0008 memory: 1833 loss: 1.0964 loss_prob: 0.6080 loss_thr: 0.3813 loss_db: 0.1071 2022/12/19 21:42:15 - mmengine - INFO - Epoch(train) [287][40/79] lr: 5.4775e-03 eta: 4:40:26 time: 0.2398 data_time: 0.0008 memory: 1833 loss: 1.1572 loss_prob: 0.6375 loss_thr: 0.4105 loss_db: 0.1093 2022/12/19 21:42:16 - mmengine - INFO - Epoch(train) [287][45/79] lr: 5.4775e-03 eta: 4:40:25 time: 0.2129 data_time: 0.0008 memory: 1833 loss: 1.2045 loss_prob: 0.6609 loss_thr: 0.4298 loss_db: 0.1138 2022/12/19 21:42:17 - mmengine - INFO - Epoch(train) [287][50/79] lr: 5.4775e-03 eta: 4:40:23 time: 0.2035 data_time: 0.0007 memory: 1833 loss: 1.1963 loss_prob: 0.6629 loss_thr: 0.4194 loss_db: 0.1139 2022/12/19 21:42:18 - mmengine - INFO - Epoch(train) [287][55/79] lr: 5.4775e-03 eta: 4:40:22 time: 0.2093 data_time: 0.0012 memory: 1833 loss: 1.0791 loss_prob: 0.5824 loss_thr: 0.3965 loss_db: 0.1001 2022/12/19 21:42:19 - mmengine - INFO - Epoch(train) [287][60/79] lr: 5.4775e-03 eta: 4:40:20 time: 0.2010 data_time: 0.0011 memory: 1833 loss: 1.0575 loss_prob: 0.5658 loss_thr: 0.3908 loss_db: 0.1009 2022/12/19 21:42:20 - mmengine - INFO - Epoch(train) [287][65/79] lr: 5.4775e-03 eta: 4:40:18 time: 0.2014 data_time: 0.0006 memory: 1833 loss: 1.1215 loss_prob: 0.6030 loss_thr: 0.4142 loss_db: 0.1043 2022/12/19 21:42:21 - mmengine - INFO - Epoch(train) [287][70/79] lr: 5.4775e-03 eta: 4:40:17 time: 0.2158 data_time: 0.0008 memory: 1833 loss: 1.3317 loss_prob: 0.7361 loss_thr: 0.4692 loss_db: 0.1264 2022/12/19 21:42:22 - mmengine - INFO - Epoch(train) [287][75/79] lr: 5.4775e-03 eta: 4:40:15 time: 0.2121 data_time: 0.0010 memory: 1833 loss: 1.3178 loss_prob: 0.7392 loss_thr: 0.4511 loss_db: 0.1276 2022/12/19 21:42:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:42:24 - mmengine - INFO - Epoch(train) [288][5/79] lr: 5.4721e-03 eta: 4:40:14 time: 0.2581 data_time: 0.0246 memory: 1833 loss: 1.2403 loss_prob: 0.6816 loss_thr: 0.4420 loss_db: 0.1166 2022/12/19 21:42:25 - mmengine - INFO - Epoch(train) [288][10/79] lr: 5.4721e-03 eta: 4:40:13 time: 0.2900 data_time: 0.0247 memory: 1833 loss: 1.0807 loss_prob: 0.5859 loss_thr: 0.3933 loss_db: 0.1015 2022/12/19 21:42:26 - mmengine - INFO - Epoch(train) [288][15/79] lr: 5.4721e-03 eta: 4:40:11 time: 0.2087 data_time: 0.0008 memory: 1833 loss: 1.1005 loss_prob: 0.6027 loss_thr: 0.3930 loss_db: 0.1048 2022/12/19 21:42:27 - mmengine - INFO - Epoch(train) [288][20/79] lr: 5.4721e-03 eta: 4:40:10 time: 0.2054 data_time: 0.0008 memory: 1833 loss: 1.0781 loss_prob: 0.5888 loss_thr: 0.3856 loss_db: 0.1038 2022/12/19 21:42:29 - mmengine - INFO - Epoch(train) [288][25/79] lr: 5.4721e-03 eta: 4:40:09 time: 0.2502 data_time: 0.0008 memory: 1833 loss: 1.1854 loss_prob: 0.6685 loss_thr: 0.4003 loss_db: 0.1165 2022/12/19 21:42:30 - mmengine - INFO - Epoch(train) [288][30/79] lr: 5.4721e-03 eta: 4:40:08 time: 0.2409 data_time: 0.0008 memory: 1833 loss: 1.1955 loss_prob: 0.6686 loss_thr: 0.4100 loss_db: 0.1169 2022/12/19 21:42:31 - mmengine - INFO - Epoch(train) [288][35/79] lr: 5.4721e-03 eta: 4:40:06 time: 0.2152 data_time: 0.0008 memory: 1833 loss: 1.0153 loss_prob: 0.5445 loss_thr: 0.3747 loss_db: 0.0960 2022/12/19 21:42:32 - mmengine - INFO - Epoch(train) [288][40/79] lr: 5.4721e-03 eta: 4:40:05 time: 0.2223 data_time: 0.0008 memory: 1833 loss: 1.0308 loss_prob: 0.5496 loss_thr: 0.3851 loss_db: 0.0961 2022/12/19 21:42:33 - mmengine - INFO - Epoch(train) [288][45/79] lr: 5.4721e-03 eta: 4:40:04 time: 0.2147 data_time: 0.0007 memory: 1833 loss: 1.0959 loss_prob: 0.5900 loss_thr: 0.4034 loss_db: 0.1025 2022/12/19 21:42:34 - mmengine - INFO - Epoch(train) [288][50/79] lr: 5.4721e-03 eta: 4:40:02 time: 0.2033 data_time: 0.0007 memory: 1833 loss: 1.0934 loss_prob: 0.5911 loss_thr: 0.3973 loss_db: 0.1051 2022/12/19 21:42:35 - mmengine - INFO - Epoch(train) [288][55/79] lr: 5.4721e-03 eta: 4:40:00 time: 0.1913 data_time: 0.0007 memory: 1833 loss: 1.0944 loss_prob: 0.5886 loss_thr: 0.3998 loss_db: 0.1060 2022/12/19 21:42:36 - mmengine - INFO - Epoch(train) [288][60/79] lr: 5.4721e-03 eta: 4:39:59 time: 0.2220 data_time: 0.0007 memory: 1833 loss: 1.0397 loss_prob: 0.5585 loss_thr: 0.3841 loss_db: 0.0970 2022/12/19 21:42:38 - mmengine - INFO - Epoch(train) [288][65/79] lr: 5.4721e-03 eta: 4:39:58 time: 0.2608 data_time: 0.0009 memory: 1833 loss: 1.1061 loss_prob: 0.5926 loss_thr: 0.4113 loss_db: 0.1022 2022/12/19 21:42:39 - mmengine - INFO - Epoch(train) [288][70/79] lr: 5.4721e-03 eta: 4:39:57 time: 0.2268 data_time: 0.0009 memory: 1833 loss: 1.1856 loss_prob: 0.6453 loss_thr: 0.4294 loss_db: 0.1109 2022/12/19 21:42:40 - mmengine - INFO - Epoch(train) [288][75/79] lr: 5.4721e-03 eta: 4:39:55 time: 0.1898 data_time: 0.0011 memory: 1833 loss: 1.0945 loss_prob: 0.6044 loss_thr: 0.3855 loss_db: 0.1046 2022/12/19 21:42:40 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:42:42 - mmengine - INFO - Epoch(train) [289][5/79] lr: 5.4667e-03 eta: 4:39:54 time: 0.2791 data_time: 0.0360 memory: 1833 loss: 1.1246 loss_prob: 0.6115 loss_thr: 0.4089 loss_db: 0.1041 2022/12/19 21:42:43 - mmengine - INFO - Epoch(train) [289][10/79] lr: 5.4667e-03 eta: 4:39:53 time: 0.2968 data_time: 0.0361 memory: 1833 loss: 1.0122 loss_prob: 0.5452 loss_thr: 0.3727 loss_db: 0.0944 2022/12/19 21:42:45 - mmengine - INFO - Epoch(train) [289][15/79] lr: 5.4667e-03 eta: 4:39:52 time: 0.2316 data_time: 0.0009 memory: 1833 loss: 0.9596 loss_prob: 0.4980 loss_thr: 0.3745 loss_db: 0.0870 2022/12/19 21:42:46 - mmengine - INFO - Epoch(train) [289][20/79] lr: 5.4667e-03 eta: 4:39:51 time: 0.2289 data_time: 0.0008 memory: 1833 loss: 1.1165 loss_prob: 0.5949 loss_thr: 0.4171 loss_db: 0.1045 2022/12/19 21:42:47 - mmengine - INFO - Epoch(train) [289][25/79] lr: 5.4667e-03 eta: 4:39:49 time: 0.2176 data_time: 0.0009 memory: 1833 loss: 1.1844 loss_prob: 0.6529 loss_thr: 0.4169 loss_db: 0.1145 2022/12/19 21:42:48 - mmengine - INFO - Epoch(train) [289][30/79] lr: 5.4667e-03 eta: 4:39:47 time: 0.2044 data_time: 0.0008 memory: 1833 loss: 1.1683 loss_prob: 0.6468 loss_thr: 0.4088 loss_db: 0.1128 2022/12/19 21:42:49 - mmengine - INFO - Epoch(train) [289][35/79] lr: 5.4667e-03 eta: 4:39:46 time: 0.2126 data_time: 0.0008 memory: 1833 loss: 1.2847 loss_prob: 0.7365 loss_thr: 0.4238 loss_db: 0.1244 2022/12/19 21:42:50 - mmengine - INFO - Epoch(train) [289][40/79] lr: 5.4667e-03 eta: 4:39:45 time: 0.2265 data_time: 0.0007 memory: 1833 loss: 1.3423 loss_prob: 0.7681 loss_thr: 0.4451 loss_db: 0.1291 2022/12/19 21:42:51 - mmengine - INFO - Epoch(train) [289][45/79] lr: 5.4667e-03 eta: 4:39:43 time: 0.2116 data_time: 0.0008 memory: 1833 loss: 1.2899 loss_prob: 0.7054 loss_thr: 0.4629 loss_db: 0.1216 2022/12/19 21:42:52 - mmengine - INFO - Epoch(train) [289][50/79] lr: 5.4667e-03 eta: 4:39:41 time: 0.1952 data_time: 0.0008 memory: 1833 loss: 1.3892 loss_prob: 0.7739 loss_thr: 0.4815 loss_db: 0.1338 2022/12/19 21:42:53 - mmengine - INFO - Epoch(train) [289][55/79] lr: 5.4667e-03 eta: 4:39:41 time: 0.2273 data_time: 0.0008 memory: 1833 loss: 1.3476 loss_prob: 0.7631 loss_thr: 0.4525 loss_db: 0.1320 2022/12/19 21:42:54 - mmengine - INFO - Epoch(train) [289][60/79] lr: 5.4667e-03 eta: 4:39:39 time: 0.2412 data_time: 0.0015 memory: 1833 loss: 1.1430 loss_prob: 0.6267 loss_thr: 0.4081 loss_db: 0.1082 2022/12/19 21:42:55 - mmengine - INFO - Epoch(train) [289][65/79] lr: 5.4667e-03 eta: 4:39:38 time: 0.2141 data_time: 0.0015 memory: 1833 loss: 1.2678 loss_prob: 0.6932 loss_thr: 0.4594 loss_db: 0.1152 2022/12/19 21:42:57 - mmengine - INFO - Epoch(train) [289][70/79] lr: 5.4667e-03 eta: 4:39:36 time: 0.2190 data_time: 0.0007 memory: 1833 loss: 1.2928 loss_prob: 0.7245 loss_thr: 0.4482 loss_db: 0.1201 2022/12/19 21:42:58 - mmengine - INFO - Epoch(train) [289][75/79] lr: 5.4667e-03 eta: 4:39:35 time: 0.2315 data_time: 0.0008 memory: 1833 loss: 1.1017 loss_prob: 0.6145 loss_thr: 0.3817 loss_db: 0.1055 2022/12/19 21:42:58 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:43:01 - mmengine - INFO - Epoch(train) [290][5/79] lr: 5.4613e-03 eta: 4:39:36 time: 0.3356 data_time: 0.0434 memory: 1833 loss: 1.1270 loss_prob: 0.6192 loss_thr: 0.3989 loss_db: 0.1089 2022/12/19 21:43:02 - mmengine - INFO - Epoch(train) [290][10/79] lr: 5.4613e-03 eta: 4:39:35 time: 0.3377 data_time: 0.0435 memory: 1833 loss: 1.2120 loss_prob: 0.6741 loss_thr: 0.4212 loss_db: 0.1167 2022/12/19 21:43:03 - mmengine - INFO - Epoch(train) [290][15/79] lr: 5.4613e-03 eta: 4:39:34 time: 0.2283 data_time: 0.0012 memory: 1833 loss: 1.1343 loss_prob: 0.6157 loss_thr: 0.4091 loss_db: 0.1095 2022/12/19 21:43:04 - mmengine - INFO - Epoch(train) [290][20/79] lr: 5.4613e-03 eta: 4:39:33 time: 0.2535 data_time: 0.0012 memory: 1833 loss: 1.1473 loss_prob: 0.6282 loss_thr: 0.4072 loss_db: 0.1119 2022/12/19 21:43:05 - mmengine - INFO - Epoch(train) [290][25/79] lr: 5.4613e-03 eta: 4:39:32 time: 0.2375 data_time: 0.0008 memory: 1833 loss: 1.2196 loss_prob: 0.6818 loss_thr: 0.4159 loss_db: 0.1219 2022/12/19 21:43:06 - mmengine - INFO - Epoch(train) [290][30/79] lr: 5.4613e-03 eta: 4:39:30 time: 0.2152 data_time: 0.0007 memory: 1833 loss: 1.2901 loss_prob: 0.7308 loss_thr: 0.4295 loss_db: 0.1298 2022/12/19 21:43:08 - mmengine - INFO - Epoch(train) [290][35/79] lr: 5.4613e-03 eta: 4:39:29 time: 0.2088 data_time: 0.0008 memory: 1833 loss: 1.2066 loss_prob: 0.6733 loss_thr: 0.4150 loss_db: 0.1183 2022/12/19 21:43:09 - mmengine - INFO - Epoch(train) [290][40/79] lr: 5.4613e-03 eta: 4:39:27 time: 0.2179 data_time: 0.0010 memory: 1833 loss: 1.1136 loss_prob: 0.6021 loss_thr: 0.4033 loss_db: 0.1082 2022/12/19 21:43:10 - mmengine - INFO - Epoch(train) [290][45/79] lr: 5.4613e-03 eta: 4:39:26 time: 0.2335 data_time: 0.0011 memory: 1833 loss: 1.1624 loss_prob: 0.6318 loss_thr: 0.4187 loss_db: 0.1119 2022/12/19 21:43:11 - mmengine - INFO - Epoch(train) [290][50/79] lr: 5.4613e-03 eta: 4:39:25 time: 0.2381 data_time: 0.0010 memory: 1833 loss: 1.1739 loss_prob: 0.6422 loss_thr: 0.4180 loss_db: 0.1136 2022/12/19 21:43:12 - mmengine - INFO - Epoch(train) [290][55/79] lr: 5.4613e-03 eta: 4:39:24 time: 0.2256 data_time: 0.0007 memory: 1833 loss: 1.1424 loss_prob: 0.6283 loss_thr: 0.4050 loss_db: 0.1091 2022/12/19 21:43:13 - mmengine - INFO - Epoch(train) [290][60/79] lr: 5.4613e-03 eta: 4:39:22 time: 0.2173 data_time: 0.0008 memory: 1833 loss: 1.1865 loss_prob: 0.6596 loss_thr: 0.4123 loss_db: 0.1145 2022/12/19 21:43:14 - mmengine - INFO - Epoch(train) [290][65/79] lr: 5.4613e-03 eta: 4:39:21 time: 0.2213 data_time: 0.0008 memory: 1833 loss: 1.1831 loss_prob: 0.6571 loss_thr: 0.4104 loss_db: 0.1156 2022/12/19 21:43:15 - mmengine - INFO - Epoch(train) [290][70/79] lr: 5.4613e-03 eta: 4:39:20 time: 0.2220 data_time: 0.0008 memory: 1833 loss: 1.1921 loss_prob: 0.6592 loss_thr: 0.4178 loss_db: 0.1151 2022/12/19 21:43:16 - mmengine - INFO - Epoch(train) [290][75/79] lr: 5.4613e-03 eta: 4:39:18 time: 0.2144 data_time: 0.0008 memory: 1833 loss: 1.1313 loss_prob: 0.6119 loss_thr: 0.4124 loss_db: 0.1070 2022/12/19 21:43:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:43:19 - mmengine - INFO - Epoch(train) [291][5/79] lr: 5.4559e-03 eta: 4:39:19 time: 0.3187 data_time: 0.1112 memory: 1833 loss: 1.1615 loss_prob: 0.6373 loss_thr: 0.4120 loss_db: 0.1122 2022/12/19 21:43:21 - mmengine - INFO - Epoch(train) [291][10/79] lr: 5.4559e-03 eta: 4:39:17 time: 0.3355 data_time: 0.1111 memory: 1833 loss: 1.1385 loss_prob: 0.6287 loss_thr: 0.4002 loss_db: 0.1096 2022/12/19 21:43:22 - mmengine - INFO - Epoch(train) [291][15/79] lr: 5.4559e-03 eta: 4:39:16 time: 0.2194 data_time: 0.0008 memory: 1833 loss: 1.1107 loss_prob: 0.6016 loss_thr: 0.4020 loss_db: 0.1071 2022/12/19 21:43:23 - mmengine - INFO - Epoch(train) [291][20/79] lr: 5.4559e-03 eta: 4:39:15 time: 0.2219 data_time: 0.0009 memory: 1833 loss: 1.2089 loss_prob: 0.6648 loss_thr: 0.4283 loss_db: 0.1158 2022/12/19 21:43:24 - mmengine - INFO - Epoch(train) [291][25/79] lr: 5.4559e-03 eta: 4:39:13 time: 0.2188 data_time: 0.0009 memory: 1833 loss: 1.2213 loss_prob: 0.6776 loss_thr: 0.4254 loss_db: 0.1182 2022/12/19 21:43:25 - mmengine - INFO - Epoch(train) [291][30/79] lr: 5.4559e-03 eta: 4:39:12 time: 0.2349 data_time: 0.0009 memory: 1833 loss: 1.1732 loss_prob: 0.6430 loss_thr: 0.4176 loss_db: 0.1125 2022/12/19 21:43:26 - mmengine - INFO - Epoch(train) [291][35/79] lr: 5.4559e-03 eta: 4:39:11 time: 0.2480 data_time: 0.0011 memory: 1833 loss: 1.1384 loss_prob: 0.6285 loss_thr: 0.4018 loss_db: 0.1081 2022/12/19 21:43:28 - mmengine - INFO - Epoch(train) [291][40/79] lr: 5.4559e-03 eta: 4:39:11 time: 0.2462 data_time: 0.0010 memory: 1833 loss: 1.1181 loss_prob: 0.6095 loss_thr: 0.4027 loss_db: 0.1059 2022/12/19 21:43:29 - mmengine - INFO - Epoch(train) [291][45/79] lr: 5.4559e-03 eta: 4:39:09 time: 0.2223 data_time: 0.0008 memory: 1833 loss: 1.1171 loss_prob: 0.6027 loss_thr: 0.4079 loss_db: 0.1065 2022/12/19 21:43:30 - mmengine - INFO - Epoch(train) [291][50/79] lr: 5.4559e-03 eta: 4:39:07 time: 0.2058 data_time: 0.0008 memory: 1833 loss: 1.1575 loss_prob: 0.6286 loss_thr: 0.4177 loss_db: 0.1112 2022/12/19 21:43:31 - mmengine - INFO - Epoch(train) [291][55/79] lr: 5.4559e-03 eta: 4:39:06 time: 0.2199 data_time: 0.0008 memory: 1833 loss: 1.2462 loss_prob: 0.6959 loss_thr: 0.4290 loss_db: 0.1213 2022/12/19 21:43:32 - mmengine - INFO - Epoch(train) [291][60/79] lr: 5.4559e-03 eta: 4:39:04 time: 0.1993 data_time: 0.0008 memory: 1833 loss: 1.3222 loss_prob: 0.7397 loss_thr: 0.4548 loss_db: 0.1278 2022/12/19 21:43:33 - mmengine - INFO - Epoch(train) [291][65/79] lr: 5.4559e-03 eta: 4:39:02 time: 0.1891 data_time: 0.0007 memory: 1833 loss: 1.2312 loss_prob: 0.6567 loss_thr: 0.4594 loss_db: 0.1152 2022/12/19 21:43:34 - mmengine - INFO - Epoch(train) [291][70/79] lr: 5.4559e-03 eta: 4:39:01 time: 0.1999 data_time: 0.0007 memory: 1833 loss: 1.1105 loss_prob: 0.5888 loss_thr: 0.4175 loss_db: 0.1041 2022/12/19 21:43:35 - mmengine - INFO - Epoch(train) [291][75/79] lr: 5.4559e-03 eta: 4:39:00 time: 0.2229 data_time: 0.0007 memory: 1833 loss: 1.0845 loss_prob: 0.5894 loss_thr: 0.3935 loss_db: 0.1016 2022/12/19 21:43:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:43:38 - mmengine - INFO - Epoch(train) [292][5/79] lr: 5.4505e-03 eta: 4:39:01 time: 0.3590 data_time: 0.1489 memory: 1833 loss: 1.0282 loss_prob: 0.5503 loss_thr: 0.3792 loss_db: 0.0987 2022/12/19 21:43:39 - mmengine - INFO - Epoch(train) [292][10/79] lr: 5.4505e-03 eta: 4:39:00 time: 0.3484 data_time: 0.1490 memory: 1833 loss: 1.1421 loss_prob: 0.6356 loss_thr: 0.3941 loss_db: 0.1123 2022/12/19 21:43:39 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:43:41 - mmengine - INFO - Epoch(train) [292][15/79] lr: 5.4505e-03 eta: 4:38:59 time: 0.2267 data_time: 0.0008 memory: 1833 loss: 1.1663 loss_prob: 0.6517 loss_thr: 0.4037 loss_db: 0.1110 2022/12/19 21:43:42 - mmengine - INFO - Epoch(train) [292][20/79] lr: 5.4505e-03 eta: 4:38:59 time: 0.2918 data_time: 0.0009 memory: 1833 loss: 1.1289 loss_prob: 0.6200 loss_thr: 0.4043 loss_db: 0.1047 2022/12/19 21:43:43 - mmengine - INFO - Epoch(train) [292][25/79] lr: 5.4505e-03 eta: 4:38:58 time: 0.2681 data_time: 0.0009 memory: 1833 loss: 1.1569 loss_prob: 0.6333 loss_thr: 0.4126 loss_db: 0.1109 2022/12/19 21:43:44 - mmengine - INFO - Epoch(train) [292][30/79] lr: 5.4505e-03 eta: 4:38:56 time: 0.2185 data_time: 0.0008 memory: 1833 loss: 1.1475 loss_prob: 0.6277 loss_thr: 0.4091 loss_db: 0.1107 2022/12/19 21:43:45 - mmengine - INFO - Epoch(train) [292][35/79] lr: 5.4505e-03 eta: 4:38:55 time: 0.2186 data_time: 0.0009 memory: 1833 loss: 1.2349 loss_prob: 0.6901 loss_thr: 0.4267 loss_db: 0.1181 2022/12/19 21:43:46 - mmengine - INFO - Epoch(train) [292][40/79] lr: 5.4505e-03 eta: 4:38:53 time: 0.2125 data_time: 0.0011 memory: 1833 loss: 1.2127 loss_prob: 0.6787 loss_thr: 0.4201 loss_db: 0.1140 2022/12/19 21:43:48 - mmengine - INFO - Epoch(train) [292][45/79] lr: 5.4505e-03 eta: 4:38:52 time: 0.2149 data_time: 0.0011 memory: 1833 loss: 1.1813 loss_prob: 0.6595 loss_thr: 0.4075 loss_db: 0.1143 2022/12/19 21:43:49 - mmengine - INFO - Epoch(train) [292][50/79] lr: 5.4505e-03 eta: 4:38:51 time: 0.2308 data_time: 0.0008 memory: 1833 loss: 1.2207 loss_prob: 0.6878 loss_thr: 0.4120 loss_db: 0.1209 2022/12/19 21:43:50 - mmengine - INFO - Epoch(train) [292][55/79] lr: 5.4505e-03 eta: 4:38:50 time: 0.2292 data_time: 0.0008 memory: 1833 loss: 1.1576 loss_prob: 0.6409 loss_thr: 0.4042 loss_db: 0.1125 2022/12/19 21:43:51 - mmengine - INFO - Epoch(train) [292][60/79] lr: 5.4505e-03 eta: 4:38:48 time: 0.2154 data_time: 0.0007 memory: 1833 loss: 1.2611 loss_prob: 0.7023 loss_thr: 0.4361 loss_db: 0.1226 2022/12/19 21:43:52 - mmengine - INFO - Epoch(train) [292][65/79] lr: 5.4505e-03 eta: 4:38:47 time: 0.2171 data_time: 0.0007 memory: 1833 loss: 1.2717 loss_prob: 0.7020 loss_thr: 0.4484 loss_db: 0.1213 2022/12/19 21:43:53 - mmengine - INFO - Epoch(train) [292][70/79] lr: 5.4505e-03 eta: 4:38:45 time: 0.2144 data_time: 0.0011 memory: 1833 loss: 1.0813 loss_prob: 0.5788 loss_thr: 0.4024 loss_db: 0.1001 2022/12/19 21:43:54 - mmengine - INFO - Epoch(train) [292][75/79] lr: 5.4505e-03 eta: 4:38:43 time: 0.1952 data_time: 0.0011 memory: 1833 loss: 1.0347 loss_prob: 0.5661 loss_thr: 0.3721 loss_db: 0.0965 2022/12/19 21:43:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:43:57 - mmengine - INFO - Epoch(train) [293][5/79] lr: 5.4451e-03 eta: 4:38:43 time: 0.2950 data_time: 0.0404 memory: 1833 loss: 1.1773 loss_prob: 0.6451 loss_thr: 0.4193 loss_db: 0.1129 2022/12/19 21:43:58 - mmengine - INFO - Epoch(train) [293][10/79] lr: 5.4451e-03 eta: 4:38:43 time: 0.3328 data_time: 0.0409 memory: 1833 loss: 1.0815 loss_prob: 0.5901 loss_thr: 0.3880 loss_db: 0.1033 2022/12/19 21:43:59 - mmengine - INFO - Epoch(train) [293][15/79] lr: 5.4451e-03 eta: 4:38:41 time: 0.2404 data_time: 0.0013 memory: 1833 loss: 1.1032 loss_prob: 0.6157 loss_thr: 0.3803 loss_db: 0.1073 2022/12/19 21:44:00 - mmengine - INFO - Epoch(train) [293][20/79] lr: 5.4451e-03 eta: 4:38:40 time: 0.2292 data_time: 0.0009 memory: 1833 loss: 1.2292 loss_prob: 0.6911 loss_thr: 0.4175 loss_db: 0.1206 2022/12/19 21:44:01 - mmengine - INFO - Epoch(train) [293][25/79] lr: 5.4451e-03 eta: 4:38:38 time: 0.2153 data_time: 0.0008 memory: 1833 loss: 1.2235 loss_prob: 0.6776 loss_thr: 0.4272 loss_db: 0.1187 2022/12/19 21:44:02 - mmengine - INFO - Epoch(train) [293][30/79] lr: 5.4451e-03 eta: 4:38:37 time: 0.2079 data_time: 0.0008 memory: 1833 loss: 1.1421 loss_prob: 0.6238 loss_thr: 0.4104 loss_db: 0.1079 2022/12/19 21:44:03 - mmengine - INFO - Epoch(train) [293][35/79] lr: 5.4451e-03 eta: 4:38:36 time: 0.2218 data_time: 0.0009 memory: 1833 loss: 1.1172 loss_prob: 0.6103 loss_thr: 0.3985 loss_db: 0.1085 2022/12/19 21:44:04 - mmengine - INFO - Epoch(train) [293][40/79] lr: 5.4451e-03 eta: 4:38:34 time: 0.2069 data_time: 0.0008 memory: 1833 loss: 1.1603 loss_prob: 0.6415 loss_thr: 0.4069 loss_db: 0.1120 2022/12/19 21:44:06 - mmengine - INFO - Epoch(train) [293][45/79] lr: 5.4451e-03 eta: 4:38:33 time: 0.2155 data_time: 0.0008 memory: 1833 loss: 1.2118 loss_prob: 0.6713 loss_thr: 0.4265 loss_db: 0.1140 2022/12/19 21:44:07 - mmengine - INFO - Epoch(train) [293][50/79] lr: 5.4451e-03 eta: 4:38:32 time: 0.2473 data_time: 0.0008 memory: 1833 loss: 1.1418 loss_prob: 0.6237 loss_thr: 0.4114 loss_db: 0.1066 2022/12/19 21:44:08 - mmengine - INFO - Epoch(train) [293][55/79] lr: 5.4451e-03 eta: 4:38:31 time: 0.2533 data_time: 0.0007 memory: 1833 loss: 1.1383 loss_prob: 0.6204 loss_thr: 0.4134 loss_db: 0.1044 2022/12/19 21:44:10 - mmengine - INFO - Epoch(train) [293][60/79] lr: 5.4451e-03 eta: 4:38:30 time: 0.2607 data_time: 0.0007 memory: 1833 loss: 1.2588 loss_prob: 0.7033 loss_thr: 0.4357 loss_db: 0.1199 2022/12/19 21:44:11 - mmengine - INFO - Epoch(train) [293][65/79] lr: 5.4451e-03 eta: 4:38:29 time: 0.2436 data_time: 0.0007 memory: 1833 loss: 1.2769 loss_prob: 0.7102 loss_thr: 0.4401 loss_db: 0.1265 2022/12/19 21:44:12 - mmengine - INFO - Epoch(train) [293][70/79] lr: 5.4451e-03 eta: 4:38:27 time: 0.2013 data_time: 0.0006 memory: 1833 loss: 1.1547 loss_prob: 0.6298 loss_thr: 0.4129 loss_db: 0.1121 2022/12/19 21:44:13 - mmengine - INFO - Epoch(train) [293][75/79] lr: 5.4451e-03 eta: 4:38:26 time: 0.2086 data_time: 0.0010 memory: 1833 loss: 1.0693 loss_prob: 0.5776 loss_thr: 0.3910 loss_db: 0.1006 2022/12/19 21:44:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:44:16 - mmengine - INFO - Epoch(train) [294][5/79] lr: 5.4397e-03 eta: 4:38:27 time: 0.3299 data_time: 0.0992 memory: 1833 loss: 1.3020 loss_prob: 0.7283 loss_thr: 0.4474 loss_db: 0.1263 2022/12/19 21:44:17 - mmengine - INFO - Epoch(train) [294][10/79] lr: 5.4397e-03 eta: 4:38:26 time: 0.3396 data_time: 0.0992 memory: 1833 loss: 1.2043 loss_prob: 0.6603 loss_thr: 0.4274 loss_db: 0.1166 2022/12/19 21:44:18 - mmengine - INFO - Epoch(train) [294][15/79] lr: 5.4397e-03 eta: 4:38:24 time: 0.2160 data_time: 0.0010 memory: 1833 loss: 1.0975 loss_prob: 0.5915 loss_thr: 0.4013 loss_db: 0.1047 2022/12/19 21:44:19 - mmengine - INFO - Epoch(train) [294][20/79] lr: 5.4397e-03 eta: 4:38:23 time: 0.1987 data_time: 0.0008 memory: 1833 loss: 1.1057 loss_prob: 0.5929 loss_thr: 0.4080 loss_db: 0.1048 2022/12/19 21:44:20 - mmengine - INFO - Epoch(train) [294][25/79] lr: 5.4397e-03 eta: 4:38:21 time: 0.2075 data_time: 0.0008 memory: 1833 loss: 1.1266 loss_prob: 0.6088 loss_thr: 0.4114 loss_db: 0.1064 2022/12/19 21:44:21 - mmengine - INFO - Epoch(train) [294][30/79] lr: 5.4397e-03 eta: 4:38:20 time: 0.2179 data_time: 0.0008 memory: 1833 loss: 1.0839 loss_prob: 0.5898 loss_thr: 0.3915 loss_db: 0.1026 2022/12/19 21:44:22 - mmengine - INFO - Epoch(train) [294][35/79] lr: 5.4397e-03 eta: 4:38:19 time: 0.2381 data_time: 0.0008 memory: 1833 loss: 1.1090 loss_prob: 0.5996 loss_thr: 0.4046 loss_db: 0.1048 2022/12/19 21:44:24 - mmengine - INFO - Epoch(train) [294][40/79] lr: 5.4397e-03 eta: 4:38:17 time: 0.2330 data_time: 0.0008 memory: 1833 loss: 1.2222 loss_prob: 0.6814 loss_thr: 0.4209 loss_db: 0.1199 2022/12/19 21:44:25 - mmengine - INFO - Epoch(train) [294][45/79] lr: 5.4397e-03 eta: 4:38:16 time: 0.2274 data_time: 0.0009 memory: 1833 loss: 1.2641 loss_prob: 0.7232 loss_thr: 0.4137 loss_db: 0.1271 2022/12/19 21:44:26 - mmengine - INFO - Epoch(train) [294][50/79] lr: 5.4397e-03 eta: 4:38:14 time: 0.2139 data_time: 0.0009 memory: 1833 loss: 1.1493 loss_prob: 0.6440 loss_thr: 0.3936 loss_db: 0.1117 2022/12/19 21:44:27 - mmengine - INFO - Epoch(train) [294][55/79] lr: 5.4397e-03 eta: 4:38:13 time: 0.2006 data_time: 0.0007 memory: 1833 loss: 1.2342 loss_prob: 0.6839 loss_thr: 0.4302 loss_db: 0.1200 2022/12/19 21:44:28 - mmengine - INFO - Epoch(train) [294][60/79] lr: 5.4397e-03 eta: 4:38:11 time: 0.2026 data_time: 0.0007 memory: 1833 loss: 1.2130 loss_prob: 0.6711 loss_thr: 0.4232 loss_db: 0.1187 2022/12/19 21:44:29 - mmengine - INFO - Epoch(train) [294][65/79] lr: 5.4397e-03 eta: 4:38:09 time: 0.2005 data_time: 0.0010 memory: 1833 loss: 1.0133 loss_prob: 0.5518 loss_thr: 0.3651 loss_db: 0.0964 2022/12/19 21:44:30 - mmengine - INFO - Epoch(train) [294][70/79] lr: 5.4397e-03 eta: 4:38:09 time: 0.2411 data_time: 0.0011 memory: 1833 loss: 1.0454 loss_prob: 0.5656 loss_thr: 0.3800 loss_db: 0.0998 2022/12/19 21:44:31 - mmengine - INFO - Epoch(train) [294][75/79] lr: 5.4397e-03 eta: 4:38:07 time: 0.2414 data_time: 0.0008 memory: 1833 loss: 1.1597 loss_prob: 0.6295 loss_thr: 0.4178 loss_db: 0.1124 2022/12/19 21:44:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:44:34 - mmengine - INFO - Epoch(train) [295][5/79] lr: 5.4343e-03 eta: 4:38:07 time: 0.2984 data_time: 0.0244 memory: 1833 loss: 1.1726 loss_prob: 0.6440 loss_thr: 0.4178 loss_db: 0.1107 2022/12/19 21:44:35 - mmengine - INFO - Epoch(train) [295][10/79] lr: 5.4343e-03 eta: 4:38:06 time: 0.3108 data_time: 0.0245 memory: 1833 loss: 1.1655 loss_prob: 0.6327 loss_thr: 0.4205 loss_db: 0.1123 2022/12/19 21:44:36 - mmengine - INFO - Epoch(train) [295][15/79] lr: 5.4343e-03 eta: 4:38:05 time: 0.2178 data_time: 0.0009 memory: 1833 loss: 1.1212 loss_prob: 0.6075 loss_thr: 0.4058 loss_db: 0.1078 2022/12/19 21:44:37 - mmengine - INFO - Epoch(train) [295][20/79] lr: 5.4343e-03 eta: 4:38:03 time: 0.2093 data_time: 0.0008 memory: 1833 loss: 1.1595 loss_prob: 0.6293 loss_thr: 0.4188 loss_db: 0.1113 2022/12/19 21:44:38 - mmengine - INFO - Epoch(train) [295][25/79] lr: 5.4343e-03 eta: 4:38:01 time: 0.2082 data_time: 0.0008 memory: 1833 loss: 1.2136 loss_prob: 0.6688 loss_thr: 0.4290 loss_db: 0.1158 2022/12/19 21:44:39 - mmengine - INFO - Epoch(train) [295][30/79] lr: 5.4343e-03 eta: 4:38:00 time: 0.2087 data_time: 0.0008 memory: 1833 loss: 1.1200 loss_prob: 0.6112 loss_thr: 0.4024 loss_db: 0.1065 2022/12/19 21:44:40 - mmengine - INFO - Epoch(train) [295][35/79] lr: 5.4343e-03 eta: 4:37:59 time: 0.2180 data_time: 0.0007 memory: 1833 loss: 1.0602 loss_prob: 0.5720 loss_thr: 0.3894 loss_db: 0.0988 2022/12/19 21:44:41 - mmengine - INFO - Epoch(train) [295][40/79] lr: 5.4343e-03 eta: 4:37:57 time: 0.2023 data_time: 0.0008 memory: 1833 loss: 1.2054 loss_prob: 0.6590 loss_thr: 0.4329 loss_db: 0.1135 2022/12/19 21:44:42 - mmengine - INFO - Epoch(train) [295][45/79] lr: 5.4343e-03 eta: 4:37:55 time: 0.1982 data_time: 0.0008 memory: 1833 loss: 1.2931 loss_prob: 0.7228 loss_thr: 0.4474 loss_db: 0.1229 2022/12/19 21:44:43 - mmengine - INFO - Epoch(train) [295][50/79] lr: 5.4343e-03 eta: 4:37:54 time: 0.2209 data_time: 0.0008 memory: 1833 loss: 1.1845 loss_prob: 0.6589 loss_thr: 0.4130 loss_db: 0.1127 2022/12/19 21:44:44 - mmengine - INFO - Epoch(train) [295][55/79] lr: 5.4343e-03 eta: 4:37:52 time: 0.2057 data_time: 0.0007 memory: 1833 loss: 1.1393 loss_prob: 0.6200 loss_thr: 0.4113 loss_db: 0.1080 2022/12/19 21:44:46 - mmengine - INFO - Epoch(train) [295][60/79] lr: 5.4343e-03 eta: 4:37:52 time: 0.2395 data_time: 0.0009 memory: 1833 loss: 1.1872 loss_prob: 0.6488 loss_thr: 0.4255 loss_db: 0.1129 2022/12/19 21:44:47 - mmengine - INFO - Epoch(train) [295][65/79] lr: 5.4343e-03 eta: 4:37:50 time: 0.2537 data_time: 0.0010 memory: 1833 loss: 1.0867 loss_prob: 0.5806 loss_thr: 0.4028 loss_db: 0.1033 2022/12/19 21:44:48 - mmengine - INFO - Epoch(train) [295][70/79] lr: 5.4343e-03 eta: 4:37:49 time: 0.2281 data_time: 0.0008 memory: 1833 loss: 1.0984 loss_prob: 0.5951 loss_thr: 0.3975 loss_db: 0.1058 2022/12/19 21:44:49 - mmengine - INFO - Epoch(train) [295][75/79] lr: 5.4343e-03 eta: 4:37:48 time: 0.2258 data_time: 0.0008 memory: 1833 loss: 1.1530 loss_prob: 0.6504 loss_thr: 0.3904 loss_db: 0.1122 2022/12/19 21:44:50 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:44:52 - mmengine - INFO - Epoch(train) [296][5/79] lr: 5.4289e-03 eta: 4:37:47 time: 0.2817 data_time: 0.0403 memory: 1833 loss: 1.1125 loss_prob: 0.6151 loss_thr: 0.3932 loss_db: 0.1043 2022/12/19 21:44:53 - mmengine - INFO - Epoch(train) [296][10/79] lr: 5.4289e-03 eta: 4:37:46 time: 0.2942 data_time: 0.0400 memory: 1833 loss: 1.1469 loss_prob: 0.6344 loss_thr: 0.4035 loss_db: 0.1090 2022/12/19 21:44:54 - mmengine - INFO - Epoch(train) [296][15/79] lr: 5.4289e-03 eta: 4:37:45 time: 0.2185 data_time: 0.0008 memory: 1833 loss: 1.1346 loss_prob: 0.6175 loss_thr: 0.4086 loss_db: 0.1085 2022/12/19 21:44:55 - mmengine - INFO - Epoch(train) [296][20/79] lr: 5.4289e-03 eta: 4:37:43 time: 0.2237 data_time: 0.0008 memory: 1833 loss: 1.1934 loss_prob: 0.6606 loss_thr: 0.4176 loss_db: 0.1152 2022/12/19 21:44:56 - mmengine - INFO - Epoch(train) [296][25/79] lr: 5.4289e-03 eta: 4:37:42 time: 0.2228 data_time: 0.0008 memory: 1833 loss: 1.1773 loss_prob: 0.6589 loss_thr: 0.4043 loss_db: 0.1141 2022/12/19 21:44:57 - mmengine - INFO - Epoch(train) [296][30/79] lr: 5.4289e-03 eta: 4:37:40 time: 0.2159 data_time: 0.0008 memory: 1833 loss: 1.1474 loss_prob: 0.6407 loss_thr: 0.3989 loss_db: 0.1079 2022/12/19 21:44:58 - mmengine - INFO - Epoch(train) [296][35/79] lr: 5.4289e-03 eta: 4:37:39 time: 0.2203 data_time: 0.0008 memory: 1833 loss: 1.1108 loss_prob: 0.6149 loss_thr: 0.3912 loss_db: 0.1046 2022/12/19 21:45:00 - mmengine - INFO - Epoch(train) [296][40/79] lr: 5.4289e-03 eta: 4:37:38 time: 0.2281 data_time: 0.0009 memory: 1833 loss: 1.1276 loss_prob: 0.6107 loss_thr: 0.4096 loss_db: 0.1073 2022/12/19 21:45:01 - mmengine - INFO - Epoch(train) [296][45/79] lr: 5.4289e-03 eta: 4:37:36 time: 0.2057 data_time: 0.0009 memory: 1833 loss: 1.1835 loss_prob: 0.6454 loss_thr: 0.4255 loss_db: 0.1126 2022/12/19 21:45:02 - mmengine - INFO - Epoch(train) [296][50/79] lr: 5.4289e-03 eta: 4:37:36 time: 0.2376 data_time: 0.0009 memory: 1833 loss: 1.1658 loss_prob: 0.6470 loss_thr: 0.4063 loss_db: 0.1125 2022/12/19 21:45:03 - mmengine - INFO - Epoch(train) [296][55/79] lr: 5.4289e-03 eta: 4:37:35 time: 0.2650 data_time: 0.0009 memory: 1833 loss: 1.0979 loss_prob: 0.6030 loss_thr: 0.3898 loss_db: 0.1050 2022/12/19 21:45:04 - mmengine - INFO - Epoch(train) [296][60/79] lr: 5.4289e-03 eta: 4:37:33 time: 0.2189 data_time: 0.0007 memory: 1833 loss: 1.1332 loss_prob: 0.6179 loss_thr: 0.4077 loss_db: 0.1077 2022/12/19 21:45:05 - mmengine - INFO - Epoch(train) [296][65/79] lr: 5.4289e-03 eta: 4:37:32 time: 0.2086 data_time: 0.0008 memory: 1833 loss: 1.2025 loss_prob: 0.6579 loss_thr: 0.4315 loss_db: 0.1130 2022/12/19 21:45:06 - mmengine - INFO - Epoch(train) [296][70/79] lr: 5.4289e-03 eta: 4:37:31 time: 0.2292 data_time: 0.0008 memory: 1833 loss: 1.0934 loss_prob: 0.5828 loss_thr: 0.4119 loss_db: 0.0987 2022/12/19 21:45:07 - mmengine - INFO - Epoch(train) [296][75/79] lr: 5.4289e-03 eta: 4:37:29 time: 0.2235 data_time: 0.0008 memory: 1833 loss: 1.3001 loss_prob: 0.7309 loss_thr: 0.4463 loss_db: 0.1229 2022/12/19 21:45:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:45:10 - mmengine - INFO - Epoch(train) [297][5/79] lr: 5.4235e-03 eta: 4:37:29 time: 0.2930 data_time: 0.0935 memory: 1833 loss: 1.3243 loss_prob: 0.7529 loss_thr: 0.4426 loss_db: 0.1287 2022/12/19 21:45:11 - mmengine - INFO - Epoch(train) [297][10/79] lr: 5.4235e-03 eta: 4:37:27 time: 0.3152 data_time: 0.0935 memory: 1833 loss: 1.2681 loss_prob: 0.7132 loss_thr: 0.4317 loss_db: 0.1232 2022/12/19 21:45:12 - mmengine - INFO - Epoch(train) [297][15/79] lr: 5.4235e-03 eta: 4:37:26 time: 0.2124 data_time: 0.0008 memory: 1833 loss: 1.2230 loss_prob: 0.6855 loss_thr: 0.4194 loss_db: 0.1181 2022/12/19 21:45:14 - mmengine - INFO - Epoch(train) [297][20/79] lr: 5.4235e-03 eta: 4:37:25 time: 0.2250 data_time: 0.0008 memory: 1833 loss: 1.0587 loss_prob: 0.5724 loss_thr: 0.3847 loss_db: 0.1017 2022/12/19 21:45:15 - mmengine - INFO - Epoch(train) [297][25/79] lr: 5.4235e-03 eta: 4:37:24 time: 0.2357 data_time: 0.0008 memory: 1833 loss: 1.0079 loss_prob: 0.5357 loss_thr: 0.3768 loss_db: 0.0954 2022/12/19 21:45:16 - mmengine - INFO - Epoch(train) [297][30/79] lr: 5.4235e-03 eta: 4:37:22 time: 0.2277 data_time: 0.0008 memory: 1833 loss: 1.0839 loss_prob: 0.5935 loss_thr: 0.3873 loss_db: 0.1031 2022/12/19 21:45:17 - mmengine - INFO - Epoch(train) [297][35/79] lr: 5.4235e-03 eta: 4:37:21 time: 0.2184 data_time: 0.0008 memory: 1833 loss: 1.1413 loss_prob: 0.6230 loss_thr: 0.4097 loss_db: 0.1086 2022/12/19 21:45:18 - mmengine - INFO - Epoch(train) [297][40/79] lr: 5.4235e-03 eta: 4:37:20 time: 0.2413 data_time: 0.0011 memory: 1833 loss: 1.1183 loss_prob: 0.6022 loss_thr: 0.4107 loss_db: 0.1054 2022/12/19 21:45:19 - mmengine - INFO - Epoch(train) [297][45/79] lr: 5.4235e-03 eta: 4:37:19 time: 0.2379 data_time: 0.0012 memory: 1833 loss: 1.1717 loss_prob: 0.6339 loss_thr: 0.4263 loss_db: 0.1114 2022/12/19 21:45:20 - mmengine - INFO - Epoch(train) [297][50/79] lr: 5.4235e-03 eta: 4:37:17 time: 0.2165 data_time: 0.0009 memory: 1833 loss: 1.0428 loss_prob: 0.5647 loss_thr: 0.3782 loss_db: 0.1000 2022/12/19 21:45:22 - mmengine - INFO - Epoch(train) [297][55/79] lr: 5.4235e-03 eta: 4:37:17 time: 0.2413 data_time: 0.0008 memory: 1833 loss: 1.0601 loss_prob: 0.5796 loss_thr: 0.3780 loss_db: 0.1025 2022/12/19 21:45:23 - mmengine - INFO - Epoch(train) [297][60/79] lr: 5.4235e-03 eta: 4:37:16 time: 0.2513 data_time: 0.0007 memory: 1833 loss: 1.2089 loss_prob: 0.6485 loss_thr: 0.4473 loss_db: 0.1131 2022/12/19 21:45:24 - mmengine - INFO - Epoch(train) [297][65/79] lr: 5.4235e-03 eta: 4:37:14 time: 0.2151 data_time: 0.0007 memory: 1833 loss: 1.1399 loss_prob: 0.6043 loss_thr: 0.4322 loss_db: 0.1034 2022/12/19 21:45:25 - mmengine - INFO - Epoch(train) [297][70/79] lr: 5.4235e-03 eta: 4:37:12 time: 0.1942 data_time: 0.0007 memory: 1833 loss: 1.1678 loss_prob: 0.6353 loss_thr: 0.4219 loss_db: 0.1105 2022/12/19 21:45:26 - mmengine - INFO - Epoch(train) [297][75/79] lr: 5.4235e-03 eta: 4:37:11 time: 0.2143 data_time: 0.0007 memory: 1833 loss: 1.1897 loss_prob: 0.6522 loss_thr: 0.4251 loss_db: 0.1124 2022/12/19 21:45:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:45:29 - mmengine - INFO - Epoch(train) [298][5/79] lr: 5.4181e-03 eta: 4:37:12 time: 0.3557 data_time: 0.0349 memory: 1833 loss: 1.2489 loss_prob: 0.7153 loss_thr: 0.4149 loss_db: 0.1187 2022/12/19 21:45:30 - mmengine - INFO - Epoch(train) [298][10/79] lr: 5.4181e-03 eta: 4:37:11 time: 0.3543 data_time: 0.0352 memory: 1833 loss: 1.2338 loss_prob: 0.7215 loss_thr: 0.3912 loss_db: 0.1210 2022/12/19 21:45:31 - mmengine - INFO - Epoch(train) [298][15/79] lr: 5.4181e-03 eta: 4:37:09 time: 0.2126 data_time: 0.0012 memory: 1833 loss: 1.1715 loss_prob: 0.6486 loss_thr: 0.4092 loss_db: 0.1137 2022/12/19 21:45:32 - mmengine - INFO - Epoch(train) [298][20/79] lr: 5.4181e-03 eta: 4:37:08 time: 0.2165 data_time: 0.0009 memory: 1833 loss: 1.2774 loss_prob: 0.7141 loss_thr: 0.4417 loss_db: 0.1217 2022/12/19 21:45:34 - mmengine - INFO - Epoch(train) [298][25/79] lr: 5.4181e-03 eta: 4:37:07 time: 0.2219 data_time: 0.0008 memory: 1833 loss: 1.1827 loss_prob: 0.6645 loss_thr: 0.4042 loss_db: 0.1140 2022/12/19 21:45:35 - mmengine - INFO - Epoch(train) [298][30/79] lr: 5.4181e-03 eta: 4:37:05 time: 0.2218 data_time: 0.0008 memory: 1833 loss: 1.1629 loss_prob: 0.6333 loss_thr: 0.4211 loss_db: 0.1085 2022/12/19 21:45:36 - mmengine - INFO - Epoch(train) [298][35/79] lr: 5.4181e-03 eta: 4:37:03 time: 0.2057 data_time: 0.0008 memory: 1833 loss: 1.2566 loss_prob: 0.6864 loss_thr: 0.4526 loss_db: 0.1176 2022/12/19 21:45:37 - mmengine - INFO - Epoch(train) [298][40/79] lr: 5.4181e-03 eta: 4:37:02 time: 0.1961 data_time: 0.0008 memory: 1833 loss: 1.1549 loss_prob: 0.6307 loss_thr: 0.4146 loss_db: 0.1096 2022/12/19 21:45:38 - mmengine - INFO - Epoch(train) [298][45/79] lr: 5.4181e-03 eta: 4:37:01 time: 0.2123 data_time: 0.0008 memory: 1833 loss: 1.1400 loss_prob: 0.6205 loss_thr: 0.4100 loss_db: 0.1095 2022/12/19 21:45:39 - mmengine - INFO - Epoch(train) [298][50/79] lr: 5.4181e-03 eta: 4:36:59 time: 0.2208 data_time: 0.0008 memory: 1833 loss: 1.1854 loss_prob: 0.6562 loss_thr: 0.4126 loss_db: 0.1167 2022/12/19 21:45:40 - mmengine - INFO - Epoch(train) [298][55/79] lr: 5.4181e-03 eta: 4:36:58 time: 0.2128 data_time: 0.0007 memory: 1833 loss: 1.2691 loss_prob: 0.7138 loss_thr: 0.4348 loss_db: 0.1206 2022/12/19 21:45:41 - mmengine - INFO - Epoch(train) [298][60/79] lr: 5.4181e-03 eta: 4:36:56 time: 0.2074 data_time: 0.0007 memory: 1833 loss: 1.2684 loss_prob: 0.7084 loss_thr: 0.4404 loss_db: 0.1196 2022/12/19 21:45:42 - mmengine - INFO - Epoch(train) [298][65/79] lr: 5.4181e-03 eta: 4:36:54 time: 0.2021 data_time: 0.0007 memory: 1833 loss: 1.1626 loss_prob: 0.6354 loss_thr: 0.4128 loss_db: 0.1144 2022/12/19 21:45:43 - mmengine - INFO - Epoch(train) [298][70/79] lr: 5.4181e-03 eta: 4:36:53 time: 0.1995 data_time: 0.0008 memory: 1833 loss: 1.1860 loss_prob: 0.6503 loss_thr: 0.4223 loss_db: 0.1134 2022/12/19 21:45:44 - mmengine - INFO - Epoch(train) [298][75/79] lr: 5.4181e-03 eta: 4:36:51 time: 0.2083 data_time: 0.0007 memory: 1833 loss: 1.1904 loss_prob: 0.6563 loss_thr: 0.4226 loss_db: 0.1115 2022/12/19 21:45:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:45:47 - mmengine - INFO - Epoch(train) [299][5/79] lr: 5.4127e-03 eta: 4:36:53 time: 0.3651 data_time: 0.1233 memory: 1833 loss: 1.2036 loss_prob: 0.6615 loss_thr: 0.4291 loss_db: 0.1131 2022/12/19 21:45:48 - mmengine - INFO - Epoch(train) [299][10/79] lr: 5.4127e-03 eta: 4:36:51 time: 0.3581 data_time: 0.1233 memory: 1833 loss: 1.2819 loss_prob: 0.7122 loss_thr: 0.4523 loss_db: 0.1174 2022/12/19 21:45:50 - mmengine - INFO - Epoch(train) [299][15/79] lr: 5.4127e-03 eta: 4:36:50 time: 0.2162 data_time: 0.0009 memory: 1833 loss: 1.5222 loss_prob: 0.8647 loss_thr: 0.5132 loss_db: 0.1443 2022/12/19 21:45:51 - mmengine - INFO - Epoch(train) [299][20/79] lr: 5.4127e-03 eta: 4:36:49 time: 0.2330 data_time: 0.0009 memory: 1833 loss: 1.3242 loss_prob: 0.7444 loss_thr: 0.4524 loss_db: 0.1275 2022/12/19 21:45:52 - mmengine - INFO - Epoch(train) [299][25/79] lr: 5.4127e-03 eta: 4:36:47 time: 0.2201 data_time: 0.0008 memory: 1833 loss: 1.1508 loss_prob: 0.6270 loss_thr: 0.4135 loss_db: 0.1103 2022/12/19 21:45:53 - mmengine - INFO - Epoch(train) [299][30/79] lr: 5.4127e-03 eta: 4:36:46 time: 0.2205 data_time: 0.0008 memory: 1833 loss: 1.1632 loss_prob: 0.6365 loss_thr: 0.4152 loss_db: 0.1115 2022/12/19 21:45:54 - mmengine - INFO - Epoch(train) [299][35/79] lr: 5.4127e-03 eta: 4:36:45 time: 0.2461 data_time: 0.0009 memory: 1833 loss: 1.2555 loss_prob: 0.6871 loss_thr: 0.4482 loss_db: 0.1202 2022/12/19 21:45:55 - mmengine - INFO - Epoch(train) [299][40/79] lr: 5.4127e-03 eta: 4:36:45 time: 0.2512 data_time: 0.0009 memory: 1833 loss: 1.2988 loss_prob: 0.6992 loss_thr: 0.4760 loss_db: 0.1235 2022/12/19 21:45:57 - mmengine - INFO - Epoch(train) [299][45/79] lr: 5.4127e-03 eta: 4:36:43 time: 0.2312 data_time: 0.0008 memory: 1833 loss: 1.2869 loss_prob: 0.7024 loss_thr: 0.4636 loss_db: 0.1209 2022/12/19 21:45:58 - mmengine - INFO - Epoch(train) [299][50/79] lr: 5.4127e-03 eta: 4:36:42 time: 0.2164 data_time: 0.0008 memory: 1833 loss: 1.2306 loss_prob: 0.6722 loss_thr: 0.4439 loss_db: 0.1145 2022/12/19 21:45:59 - mmengine - INFO - Epoch(train) [299][55/79] lr: 5.4127e-03 eta: 4:36:40 time: 0.2139 data_time: 0.0007 memory: 1833 loss: 1.1431 loss_prob: 0.6140 loss_thr: 0.4241 loss_db: 0.1050 2022/12/19 21:46:00 - mmengine - INFO - Epoch(train) [299][60/79] lr: 5.4127e-03 eta: 4:36:39 time: 0.2111 data_time: 0.0007 memory: 1833 loss: 1.1754 loss_prob: 0.6467 loss_thr: 0.4179 loss_db: 0.1108 2022/12/19 21:46:01 - mmengine - INFO - Epoch(train) [299][65/79] lr: 5.4127e-03 eta: 4:36:37 time: 0.2065 data_time: 0.0009 memory: 1833 loss: 1.1740 loss_prob: 0.6496 loss_thr: 0.4112 loss_db: 0.1131 2022/12/19 21:46:02 - mmengine - INFO - Epoch(train) [299][70/79] lr: 5.4127e-03 eta: 4:36:36 time: 0.2298 data_time: 0.0010 memory: 1833 loss: 1.2326 loss_prob: 0.6736 loss_thr: 0.4404 loss_db: 0.1186 2022/12/19 21:46:03 - mmengine - INFO - Epoch(train) [299][75/79] lr: 5.4127e-03 eta: 4:36:34 time: 0.2098 data_time: 0.0009 memory: 1833 loss: 1.2132 loss_prob: 0.6616 loss_thr: 0.4328 loss_db: 0.1188 2022/12/19 21:46:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:46:05 - mmengine - INFO - Epoch(train) [300][5/79] lr: 5.4073e-03 eta: 4:36:33 time: 0.2468 data_time: 0.0258 memory: 1833 loss: 1.1201 loss_prob: 0.6093 loss_thr: 0.4047 loss_db: 0.1061 2022/12/19 21:46:06 - mmengine - INFO - Epoch(train) [300][10/79] lr: 5.4073e-03 eta: 4:36:31 time: 0.2678 data_time: 0.0258 memory: 1833 loss: 1.1648 loss_prob: 0.6506 loss_thr: 0.4021 loss_db: 0.1121 2022/12/19 21:46:07 - mmengine - INFO - Epoch(train) [300][15/79] lr: 5.4073e-03 eta: 4:36:30 time: 0.2112 data_time: 0.0009 memory: 1833 loss: 1.2578 loss_prob: 0.7154 loss_thr: 0.4265 loss_db: 0.1159 2022/12/19 21:46:08 - mmengine - INFO - Epoch(train) [300][20/79] lr: 5.4073e-03 eta: 4:36:28 time: 0.2139 data_time: 0.0008 memory: 1833 loss: 1.2523 loss_prob: 0.7023 loss_thr: 0.4359 loss_db: 0.1142 2022/12/19 21:46:09 - mmengine - INFO - Epoch(train) [300][25/79] lr: 5.4073e-03 eta: 4:36:27 time: 0.2168 data_time: 0.0008 memory: 1833 loss: 1.1868 loss_prob: 0.6539 loss_thr: 0.4220 loss_db: 0.1110 2022/12/19 21:46:11 - mmengine - INFO - Epoch(train) [300][30/79] lr: 5.4073e-03 eta: 4:36:26 time: 0.2306 data_time: 0.0008 memory: 1833 loss: 1.1900 loss_prob: 0.6571 loss_thr: 0.4186 loss_db: 0.1143 2022/12/19 21:46:12 - mmengine - INFO - Epoch(train) [300][35/79] lr: 5.4073e-03 eta: 4:36:24 time: 0.2257 data_time: 0.0008 memory: 1833 loss: 1.1280 loss_prob: 0.6180 loss_thr: 0.4006 loss_db: 0.1095 2022/12/19 21:46:13 - mmengine - INFO - Epoch(train) [300][40/79] lr: 5.4073e-03 eta: 4:36:23 time: 0.2064 data_time: 0.0008 memory: 1833 loss: 1.0241 loss_prob: 0.5465 loss_thr: 0.3816 loss_db: 0.0959 2022/12/19 21:46:14 - mmengine - INFO - Epoch(train) [300][45/79] lr: 5.4073e-03 eta: 4:36:21 time: 0.2149 data_time: 0.0008 memory: 1833 loss: 1.1072 loss_prob: 0.6000 loss_thr: 0.4051 loss_db: 0.1021 2022/12/19 21:46:15 - mmengine - INFO - Epoch(train) [300][50/79] lr: 5.4073e-03 eta: 4:36:20 time: 0.2135 data_time: 0.0007 memory: 1833 loss: 1.1414 loss_prob: 0.6293 loss_thr: 0.4051 loss_db: 0.1070 2022/12/19 21:46:16 - mmengine - INFO - Epoch(train) [300][55/79] lr: 5.4073e-03 eta: 4:36:18 time: 0.2138 data_time: 0.0009 memory: 1833 loss: 1.1433 loss_prob: 0.6318 loss_thr: 0.4006 loss_db: 0.1109 2022/12/19 21:46:17 - mmengine - INFO - Epoch(train) [300][60/79] lr: 5.4073e-03 eta: 4:36:17 time: 0.2108 data_time: 0.0010 memory: 1833 loss: 1.1200 loss_prob: 0.5956 loss_thr: 0.4199 loss_db: 0.1046 2022/12/19 21:46:18 - mmengine - INFO - Epoch(train) [300][65/79] lr: 5.4073e-03 eta: 4:36:16 time: 0.2381 data_time: 0.0010 memory: 1833 loss: 1.0643 loss_prob: 0.5564 loss_thr: 0.4115 loss_db: 0.0964 2022/12/19 21:46:19 - mmengine - INFO - Epoch(train) [300][70/79] lr: 5.4073e-03 eta: 4:36:14 time: 0.2331 data_time: 0.0010 memory: 1833 loss: 1.0680 loss_prob: 0.5786 loss_thr: 0.3886 loss_db: 0.1008 2022/12/19 21:46:21 - mmengine - INFO - Epoch(train) [300][75/79] lr: 5.4073e-03 eta: 4:36:14 time: 0.2218 data_time: 0.0008 memory: 1833 loss: 1.0243 loss_prob: 0.5467 loss_thr: 0.3825 loss_db: 0.0951 2022/12/19 21:46:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_totaltext_20221219_201038 2022/12/19 21:46:22 - mmengine - INFO - Epoch(val) [300][5/75] eta: 0:00:01 time: 0.0263 data_time: 0.0120 memory: 1833 2022/12/19 21:46:22 - mmengine - INFO - Epoch(val) [300][10/75] eta: 0:00:01 time: 0.0198 data_time: 0.0030 memory: 425 2022/12/19 21:46:22 - mmengine - INFO - Epoch(val) [300][15/75] eta: 0:00:01 time: 0.0369 data_time: 0.0003 memory: 425 2022/12/19 21:46:22 - mmengine - INFO - Epoch(val) [300][20/75] eta: 0:00:01 time: 0.0371 data_time: 0.0004 memory: 425 2022/12/19 21:46:22 - mmengine - INFO - Epoch(val) [300][25/75] eta: 0:00:01 time: 0.0258 data_time: 0.0096 memory: 390 2022/12/19 21:46:23 - mmengine - INFO - Epoch(val) [300][30/75] eta: 0:00:01 time: 0.0722 data_time: 0.0422 memory: 390 2022/12/19 21:46:23 - mmengine - INFO - Epoch(val) [300][35/75] eta: 0:00:01 time: 0.0747 data_time: 0.0441 memory: 368 2022/12/19 21:46:23 - mmengine - INFO - Epoch(val) [300][40/75] eta: 0:00:01 time: 0.0427 data_time: 0.0206 memory: 390 2022/12/19 21:46:23 - mmengine - INFO - Epoch(val) [300][45/75] eta: 0:00:01 time: 0.0327 data_time: 0.0096 memory: 425 2022/12/19 21:46:23 - mmengine - INFO - Epoch(val) [300][50/75] eta: 0:00:00 time: 0.0186 data_time: 0.0006 memory: 430 2022/12/19 21:46:23 - mmengine - INFO - Epoch(val) [300][55/75] eta: 0:00:00 time: 0.0215 data_time: 0.0033 memory: 407 2022/12/19 21:46:24 - mmengine - INFO - Epoch(val) [300][60/75] eta: 0:00:00 time: 0.0313 data_time: 0.0030 memory: 390 2022/12/19 21:46:24 - mmengine - INFO - Epoch(val) [300][65/75] eta: 0:00:00 time: 0.0309 data_time: 0.0005 memory: 390 2022/12/19 21:46:24 - mmengine - INFO - Epoch(val) [300][70/75] eta: 0:00:00