2022-09-29 01:35:26,023 - mmdet - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: A100-SXM-80GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0 PyTorch: 1.10.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.2.3 (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_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.2 - 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: 0.11.1+cu113 OpenCV: 4.6.0 MMCV: 1.6.1 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMDetection: 2.25.2+146d174 ------------------------------------------------------------ 2022-09-29 01:35:27,321 - mmdet - INFO - Distributed training: True 2022-09-29 01:35:28,678 - mmdet - INFO - Config: model = dict( type='SelfSupDetector', backbone=dict( type='SelfSupRetinaNet', backbone=dict( type='ResNet', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=4, norm_cfg=dict(type='BN', requires_grad=False), norm_eval=True, style='pytorch', init_cfg=dict( type='Pretrained', checkpoint='torchvision://resnet50')), neck=dict( type='FPN', in_channels=[256, 512, 1024, 2048], out_channels=256, start_level=1, add_extra_convs='on_input', num_outs=5), bbox_head=dict( type='SelfSupRetinaHead', num_classes=256, in_channels=256, stacked_convs=4, feat_channels=256, init_cfg=dict( type='Normal', layer='Conv2d', std=0.01, override=None), loss_cls=dict( type='ContrastiveLoss', loss_weight=1.0, temperature=0.5), loss_bbox=dict(type='L1Loss', loss_weight=1.0)), train_cfg=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.4, min_pos_iou=0, ignore_iof_thr=-1, gpu_assign_thr=-1), sampler=dict( type='RandomSampler', num=2048, pos_fraction=1.0, neg_pos_ub=-1, add_gt_as_proposals=False), allowed_border=-1, pos_weight=1, debug=False))) train_dataset_type = 'MultiViewCocoDataset' test_dataset_type = 'CocoDataset' data_root = 'data/coco/' classes = ['selective_search'] img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) load_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=False), dict(type='SelectTopKProposals', topk=80) ] train_pipeline1 = [ dict( type='Resize', img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], multiscale_mode='value', keep_ratio=True), dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), dict(type='Pad', size_divisor=32), dict(type='RandFlip', flip_ratio=0.5), dict( type='OneOf', transforms=[ dict(type='Identity'), dict(type='AutoContrast'), dict(type='RandEqualize'), dict(type='RandSolarize'), dict(type='RandColor'), dict(type='RandContrast'), dict(type='RandBrightness'), dict(type='RandSharpness'), dict(type='RandPosterize') ]), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) ] train_pipeline2 = [ dict( type='Resize', img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], multiscale_mode='value', keep_ratio=True), dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), dict(type='Pad', size_divisor=32), dict(type='RandFlip', flip_ratio=0.5), dict( type='OneOf', transforms=[ dict(type='Identity'), dict(type='AutoContrast'), dict(type='RandEqualize'), dict(type='RandSolarize'), dict(type='RandColor'), dict(type='RandContrast'), dict(type='RandBrightness'), dict(type='RandSharpness'), dict(type='RandPosterize') ]), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=2, workers_per_gpu=2, train=dict( type='MultiViewCocoDataset', dataset=dict( type='CocoDataset', classes=['selective_search'], ann_file= 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json', img_prefix='data/coco/train2017/', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=False), dict(type='SelectTopKProposals', topk=80) ]), num_views=2, pipelines=[[{ 'type': 'Resize', 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], 'multiscale_mode': 'value', 'keep_ratio': True }, { 'type': 'FilterAnnotations', 'min_gt_bbox_wh': (0.01, 0.01) }, { 'type': 'Pad', 'size_divisor': 32 }, { 'type': 'RandFlip', 'flip_ratio': 0.5 }, { 'type': 'OneOf', 'transforms': [{ 'type': 'Identity' }, { 'type': 'AutoContrast' }, { 'type': 'RandEqualize' }, { 'type': 'RandSolarize' }, { 'type': 'RandColor' }, { 'type': 'RandContrast' }, { 'type': 'RandBrightness' }, { 'type': 'RandSharpness' }, { 'type': 'RandPosterize' }] }, { 'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True }, { 'type': 'DefaultFormatBundle' }, { 'type': 'Collect', 'keys': ['img', 'gt_bboxes', 'gt_labels'] }], [{ 'type': 'Resize', 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], 'multiscale_mode': 'value', 'keep_ratio': True }, { 'type': 'FilterAnnotations', 'min_gt_bbox_wh': (0.01, 0.01) }, { 'type': 'Pad', 'size_divisor': 32 }, { 'type': 'RandFlip', 'flip_ratio': 0.5 }, { 'type': 'OneOf', 'transforms': [{ 'type': 'Identity' }, { 'type': 'AutoContrast' }, { 'type': 'RandEqualize' }, { 'type': 'RandSolarize' }, { 'type': 'RandColor' }, { 'type': 'RandContrast' }, { 'type': 'RandBrightness' }, { 'type': 'RandSharpness' }, { 'type': 'RandPosterize' }] }, { 'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True }, { 'type': 'DefaultFormatBundle' }, { 'type': 'Collect', 'keys': ['img', 'gt_bboxes', 'gt_labels'] }]]), val=dict( type='CocoDataset', classes=['selective_search'], ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='CocoDataset', classes=['selective_search'], ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) evaluation = dict(interval=65535) optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=None) lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[8, 11]) runner = dict(type='EpochBasedRunner', max_epochs=12) checkpoint_config = dict(interval=1) log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) custom_hooks = [ dict(type='MomentumUpdateHook'), dict( type='MMDetWandbHook', init_kwargs=dict(project='I2B', group='pretrain'), interval=50, num_eval_images=0, log_checkpoint=False) ] dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] opencv_num_threads = 0 mp_start_method = 'fork' auto_scale_lr = dict(enable=False, base_batch_size=16) custom_imports = dict( imports=[ 'mmselfsup.datasets.pipelines', 'selfsup.core.hook.momentum_update_hook', 'selfsup.datasets.pipelines.selfsup_pipelines', 'selfsup.datasets.pipelines.rand_aug', 'selfsup.datasets.single_view_coco', 'selfsup.datasets.multi_view_coco', 'selfsup.models.losses.contrastive_loss', 'selfsup.models.dense_heads.fcos_head', 'selfsup.models.dense_heads.retina_head', 'selfsup.models.dense_heads.detr_head', 'selfsup.models.dense_heads.deformable_detr_head', 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', 'selfsup.models.roi_heads.standard_roi_head', 'selfsup.models.detectors.selfsup_detector', 'selfsup.models.detectors.selfsup_fcos', 'selfsup.models.detectors.selfsup_detr', 'selfsup.models.detectors.selfsup_deformable_detr', 'selfsup.models.detectors.selfsup_retinanet', 'selfsup.models.detectors.selfsup_mask_rcnn', 'selfsup.core.bbox.assigners.hungarian_assigner', 'selfsup.core.bbox.match_costs.match_cost' ], allow_failed_imports=False) work_dir = 'work_dirs/selfsup_retinanet_mstrain-soft-teacher_sampler-2048_temp0.5' auto_resume = False gpu_ids = range(0, 8) 2022-09-29 01:35:28,679 - mmdet - INFO - Set random seed to 42, deterministic: False 2022-09-29 01:35:29,342 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'torchvision://resnet50'} 2022-09-29 01:35:51,568 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-09-29 01:35:51,616 - mmdet - INFO - initialize SelfSupRetinaHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01, 'override': None} 2022-09-29 01:35:51,662 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'torchvision://resnet50'} 2022-09-29 01:35:51,765 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-09-29 01:35:51,813 - mmdet - INFO - initialize SelfSupRetinaHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01, 'override': None} Name of parameter - Initialization information online_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 2048, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 2048, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.4.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.4.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.cls_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.cls_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.cls_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.cls_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.reg_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.reg_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.reg_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.reg_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.retina_cls.0.weight - torch.Size([256, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_cls.0.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_cls.2.weight - torch.Size([2304, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_cls.2.bias - torch.Size([2304]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_reg.weight - torch.Size([36, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_reg.bias - torch.Size([36]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 2048, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 2048, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.4.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.4.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.cls_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.cls_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.cls_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.cls_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.reg_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.reg_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.reg_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.reg_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.retina_cls.0.weight - torch.Size([256, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_cls.0.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_cls.2.weight - torch.Size([2304, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_cls.2.bias - torch.Size([2304]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_reg.weight - torch.Size([36, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_reg.bias - torch.Size([36]): NormalInit: mean=0, std=0.01, bias=0 2022-09-29 01:36:13,551 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. 2022-09-29 01:36:14,056 - mmdet - INFO - Start running, host: tiger@n136-147-130, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_retinanet_mstrain-soft-teacher_sampler-2048_temp0.5 2022-09-29 01:36:14,057 - mmdet - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) CheckpointHook (NORMAL ) MMDetWandbHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) MMDetWandbHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) MomentumUpdateHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (NORMAL ) MomentumUpdateHook (NORMAL ) MMDetWandbHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (NORMAL ) MMDetWandbHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) MMDetWandbHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (NORMAL ) MMDetWandbHook (VERY_LOW ) TextLoggerHook -------------------- after_run: (NORMAL ) MMDetWandbHook (VERY_LOW ) TextLoggerHook -------------------- 2022-09-29 01:36:14,057 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs 2022-09-29 01:36:14,057 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_retinanet_mstrain-soft-teacher_sampler-2048_temp0.5 by HardDiskBackend. 2022-09-29 01:36:45,077 - mmdet - INFO - Epoch [1][50/7390] lr: 9.890e-04, eta: 14:34:56, time: 0.592, data_time: 0.069, memory: 42609, loss_cls: 8.9727, losses_bboxes: 0.6576, loss: 9.6304 2022-09-29 01:37:14,515 - mmdet - INFO - Epoch [1][100/7390] lr: 1.988e-03, eta: 14:32:20, time: 0.589, data_time: 0.009, memory: 42609, loss_cls: 8.8572, losses_bboxes: 0.6380, loss: 9.4951 2022-09-29 01:37:40,069 - mmdet - INFO - Epoch [1][150/7390] lr: 2.987e-03, eta: 13:51:43, time: 0.509, data_time: 0.008, memory: 42609, loss_cls: 8.8485, losses_bboxes: 0.6167, loss: 9.4651 2022-09-29 01:38:05,234 - mmdet - INFO - Epoch [1][200/7390] lr: 3.986e-03, eta: 13:28:47, time: 0.503, data_time: 0.010, memory: 42609, loss_cls: 8.8421, losses_bboxes: 0.6111, loss: 9.4532 2022-09-29 01:38:30,857 - mmdet - INFO - Epoch [1][250/7390] lr: 4.985e-03, eta: 13:18:21, time: 0.515, data_time: 0.010, memory: 42609, loss_cls: 8.8422, losses_bboxes: 0.6056, loss: 9.4478 2022-09-29 01:38:55,837 - mmdet - INFO - Epoch [1][300/7390] lr: 5.984e-03, eta: 13:07:12, time: 0.498, data_time: 0.008, memory: 42609, loss_cls: 8.8382, losses_bboxes: 0.6030, loss: 9.4412 2022-09-29 01:39:21,702 - mmdet - INFO - Epoch [1][350/7390] lr: 6.983e-03, eta: 13:03:22, time: 0.518, data_time: 0.010, memory: 42609, loss_cls: 8.8329, losses_bboxes: 0.6011, loss: 9.4340 2022-09-29 01:39:47,321 - mmdet - INFO - Epoch [1][400/7390] lr: 7.982e-03, eta: 12:59:25, time: 0.513, data_time: 0.009, memory: 42609, loss_cls: 8.8326, losses_bboxes: 0.5993, loss: 9.4319 2022-09-29 01:40:13,071 - mmdet - INFO - Epoch [1][450/7390] lr: 8.981e-03, eta: 12:56:33, time: 0.515, data_time: 0.008, memory: 42688, loss_cls: 8.8308, losses_bboxes: 0.5979, loss: 9.4287 2022-09-29 01:40:38,750 - mmdet - INFO - Epoch [1][500/7390] lr: 9.980e-03, eta: 12:53:51, time: 0.513, data_time: 0.009, memory: 42688, loss_cls: 8.8300, losses_bboxes: 0.5940, loss: 9.4240 2022-09-29 01:41:04,462 - mmdet - INFO - Epoch [1][550/7390] lr: 1.000e-02, eta: 12:51:51, time: 0.515, data_time: 0.010, memory: 42688, loss_cls: 8.8284, losses_bboxes: 0.5910, loss: 9.4194 2022-09-29 01:41:30,243 - mmdet - INFO - Epoch [1][600/7390] lr: 1.000e-02, eta: 12:49:57, time: 0.513, data_time: 0.008, memory: 42688, loss_cls: 8.8329, losses_bboxes: 0.5853, loss: 9.4182 2022-09-29 01:41:55,905 - mmdet - INFO - Epoch [1][650/7390] lr: 1.000e-02, eta: 12:48:27, time: 0.515, data_time: 0.011, memory: 42688, loss_cls: 8.8318, losses_bboxes: 0.5794, loss: 9.4112 2022-09-29 01:42:21,814 - mmdet - INFO - Epoch [1][700/7390] lr: 1.000e-02, eta: 12:47:27, time: 0.518, data_time: 0.009, memory: 42688, loss_cls: 8.8309, losses_bboxes: 0.5758, loss: 9.4067 2022-09-29 01:42:47,401 - mmdet - INFO - Epoch [1][750/7390] lr: 1.000e-02, eta: 12:45:51, time: 0.512, data_time: 0.008, memory: 42688, loss_cls: 8.8308, losses_bboxes: 0.5707, loss: 9.4015 2022-09-29 01:43:12,783 - mmdet - INFO - Epoch [1][800/7390] lr: 1.000e-02, eta: 12:44:03, time: 0.508, data_time: 0.008, memory: 42688, loss_cls: 8.8291, losses_bboxes: 0.5660, loss: 9.3951 2022-09-29 01:43:38,441 - mmdet - INFO - Epoch [1][850/7390] lr: 1.000e-02, eta: 12:42:56, time: 0.514, data_time: 0.009, memory: 42688, loss_cls: 8.8292, losses_bboxes: 0.5640, loss: 9.3932 2022-09-29 01:44:04,118 - mmdet - INFO - Epoch [1][900/7390] lr: 1.000e-02, eta: 12:41:48, time: 0.513, data_time: 0.008, memory: 42688, loss_cls: 8.8295, losses_bboxes: 0.5606, loss: 9.3901 2022-09-29 01:44:29,058 - mmdet - INFO - Epoch [1][950/7390] lr: 1.000e-02, eta: 12:39:39, time: 0.498, data_time: 0.009, memory: 42688, loss_cls: 8.8275, losses_bboxes: 0.5585, loss: 9.3860 2022-09-29 01:44:54,694 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 01:44:54,694 - mmdet - INFO - Epoch [1][1000/7390] lr: 1.000e-02, eta: 12:38:42, time: 0.512, data_time: 0.009, memory: 42688, loss_cls: 8.8267, losses_bboxes: 0.5550, loss: 9.3817 2022-09-29 01:45:20,343 - mmdet - INFO - Epoch [1][1050/7390] lr: 1.000e-02, eta: 12:37:52, time: 0.513, data_time: 0.010, memory: 42688, loss_cls: 8.8329, losses_bboxes: 0.5534, loss: 9.3863 2022-09-29 01:45:45,399 - mmdet - INFO - Epoch [1][1100/7390] lr: 1.000e-02, eta: 12:36:18, time: 0.502, data_time: 0.009, memory: 42688, loss_cls: 8.8280, losses_bboxes: 0.5507, loss: 9.3787 2022-09-29 01:46:10,786 - mmdet - INFO - Epoch [1][1150/7390] lr: 1.000e-02, eta: 12:35:14, time: 0.508, data_time: 0.008, memory: 42688, loss_cls: 8.8272, losses_bboxes: 0.5493, loss: 9.3765 2022-09-29 01:46:36,094 - mmdet - INFO - Epoch [1][1200/7390] lr: 1.000e-02, eta: 12:34:03, time: 0.505, data_time: 0.008, memory: 42688, loss_cls: 8.8268, losses_bboxes: 0.5477, loss: 9.3744 2022-09-29 01:47:00,984 - mmdet - INFO - Epoch [1][1250/7390] lr: 1.000e-02, eta: 12:32:32, time: 0.498, data_time: 0.009, memory: 42688, loss_cls: 8.8296, losses_bboxes: 0.5470, loss: 9.3767 2022-09-29 01:47:26,677 - mmdet - INFO - Epoch [1][1300/7390] lr: 1.000e-02, eta: 12:31:58, time: 0.514, data_time: 0.008, memory: 42688, loss_cls: 8.8216, losses_bboxes: 0.5454, loss: 9.3670 2022-09-29 01:47:52,142 - mmdet - INFO - Epoch [1][1350/7390] lr: 1.000e-02, eta: 12:31:09, time: 0.509, data_time: 0.008, memory: 42688, loss_cls: 8.8100, losses_bboxes: 0.5432, loss: 9.3532 2022-09-29 01:48:17,744 - mmdet - INFO - Epoch [1][1400/7390] lr: 1.000e-02, eta: 12:30:29, time: 0.511, data_time: 0.008, memory: 42688, loss_cls: 8.7941, losses_bboxes: 0.5414, loss: 9.3354 2022-09-29 01:48:42,867 - mmdet - INFO - Epoch [1][1450/7390] lr: 1.000e-02, eta: 12:29:24, time: 0.503, data_time: 0.009, memory: 42688, loss_cls: 8.7700, losses_bboxes: 0.5427, loss: 9.3127 2022-09-29 01:49:08,617 - mmdet - INFO - Epoch [1][1500/7390] lr: 1.000e-02, eta: 12:28:54, time: 0.514, data_time: 0.008, memory: 42688, loss_cls: 8.7556, losses_bboxes: 0.5395, loss: 9.2951 2022-09-29 01:49:33,885 - mmdet - INFO - Epoch [1][1550/7390] lr: 1.000e-02, eta: 12:28:01, time: 0.506, data_time: 0.009, memory: 42688, loss_cls: 8.7290, losses_bboxes: 0.5392, loss: 9.2682 2022-09-29 01:49:59,412 - mmdet - INFO - Epoch [1][1600/7390] lr: 1.000e-02, eta: 12:27:25, time: 0.511, data_time: 0.009, memory: 42688, loss_cls: 8.6985, losses_bboxes: 0.5387, loss: 9.2372 2022-09-29 01:50:25,094 - mmdet - INFO - Epoch [1][1650/7390] lr: 1.000e-02, eta: 12:26:54, time: 0.513, data_time: 0.008, memory: 42688, loss_cls: 8.6664, losses_bboxes: 0.5361, loss: 9.2025 2022-09-29 01:50:50,426 - mmdet - INFO - Epoch [1][1700/7390] lr: 1.000e-02, eta: 12:26:07, time: 0.507, data_time: 0.009, memory: 42688, loss_cls: 8.6254, losses_bboxes: 0.5363, loss: 9.1617 2022-09-29 01:51:15,996 - mmdet - INFO - Epoch [1][1750/7390] lr: 1.000e-02, eta: 12:25:30, time: 0.510, data_time: 0.009, memory: 42688, loss_cls: 8.5869, losses_bboxes: 0.5352, loss: 9.1222 2022-09-29 01:51:41,210 - mmdet - INFO - Epoch [1][1800/7390] lr: 1.000e-02, eta: 12:24:40, time: 0.505, data_time: 0.010, memory: 42688, loss_cls: 8.5404, losses_bboxes: 0.5329, loss: 9.0733 2022-09-29 01:52:06,506 - mmdet - INFO - Epoch [1][1850/7390] lr: 1.000e-02, eta: 12:23:57, time: 0.507, data_time: 0.009, memory: 42688, loss_cls: 8.5011, losses_bboxes: 0.5341, loss: 9.0352 2022-09-29 01:52:31,920 - mmdet - INFO - Epoch [1][1900/7390] lr: 1.000e-02, eta: 12:23:16, time: 0.508, data_time: 0.009, memory: 42688, loss_cls: 8.4677, losses_bboxes: 0.5341, loss: 9.0018 2022-09-29 01:52:56,835 - mmdet - INFO - Epoch [1][1950/7390] lr: 1.000e-02, eta: 12:22:17, time: 0.499, data_time: 0.010, memory: 42688, loss_cls: 8.4301, losses_bboxes: 0.5318, loss: 8.9619 2022-09-29 01:53:22,434 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 01:53:22,434 - mmdet - INFO - Epoch [1][2000/7390] lr: 1.000e-02, eta: 12:21:50, time: 0.513, data_time: 0.009, memory: 42688, loss_cls: 8.3993, losses_bboxes: 0.5314, loss: 8.9307 2022-09-29 01:53:48,180 - mmdet - INFO - Epoch [1][2050/7390] lr: 1.000e-02, eta: 12:21:25, time: 0.514, data_time: 0.008, memory: 42688, loss_cls: 8.3758, losses_bboxes: 0.5315, loss: 8.9074 2022-09-29 01:54:13,791 - mmdet - INFO - Epoch [1][2100/7390] lr: 1.000e-02, eta: 12:20:57, time: 0.513, data_time: 0.009, memory: 42688, loss_cls: 8.3565, losses_bboxes: 0.5303, loss: 8.8868 2022-09-29 01:54:39,417 - mmdet - INFO - Epoch [1][2150/7390] lr: 1.000e-02, eta: 12:20:31, time: 0.513, data_time: 0.008, memory: 42772, loss_cls: 8.3280, losses_bboxes: 0.5299, loss: 8.8579 2022-09-29 01:55:05,498 - mmdet - INFO - Epoch [1][2200/7390] lr: 1.000e-02, eta: 12:20:21, time: 0.522, data_time: 0.008, memory: 42772, loss_cls: 8.3129, losses_bboxes: 0.5290, loss: 8.8418 2022-09-29 01:55:31,260 - mmdet - INFO - Epoch [1][2250/7390] lr: 1.000e-02, eta: 12:19:56, time: 0.514, data_time: 0.008, memory: 42772, loss_cls: 8.2925, losses_bboxes: 0.5294, loss: 8.8219 2022-09-29 01:55:56,651 - mmdet - INFO - Epoch [1][2300/7390] lr: 1.000e-02, eta: 12:19:17, time: 0.506, data_time: 0.009, memory: 42772, loss_cls: 8.2855, losses_bboxes: 0.5288, loss: 8.8143 2022-09-29 01:56:22,249 - mmdet - INFO - Epoch [1][2350/7390] lr: 1.000e-02, eta: 12:18:51, time: 0.513, data_time: 0.011, memory: 42827, loss_cls: 8.2674, losses_bboxes: 0.5277, loss: 8.7951 2022-09-29 01:56:47,733 - mmdet - INFO - Epoch [1][2400/7390] lr: 1.000e-02, eta: 12:18:19, time: 0.510, data_time: 0.010, memory: 42827, loss_cls: 8.2478, losses_bboxes: 0.5267, loss: 8.7745 2022-09-29 01:57:13,390 - mmdet - INFO - Epoch [1][2450/7390] lr: 1.000e-02, eta: 12:17:54, time: 0.514, data_time: 0.009, memory: 42827, loss_cls: 8.2378, losses_bboxes: 0.5266, loss: 8.7644 2022-09-29 01:57:38,243 - mmdet - INFO - Epoch [1][2500/7390] lr: 1.000e-02, eta: 12:17:00, time: 0.497, data_time: 0.008, memory: 42827, loss_cls: 8.2251, losses_bboxes: 0.5256, loss: 8.7508 2022-09-29 01:58:03,692 - mmdet - INFO - Epoch [1][2550/7390] lr: 1.000e-02, eta: 12:16:27, time: 0.509, data_time: 0.008, memory: 42827, loss_cls: 8.2164, losses_bboxes: 0.5252, loss: 8.7417 2022-09-29 01:58:29,310 - mmdet - INFO - Epoch [1][2600/7390] lr: 1.000e-02, eta: 12:15:58, time: 0.511, data_time: 0.009, memory: 42827, loss_cls: 8.1979, losses_bboxes: 0.5251, loss: 8.7230 2022-09-29 01:58:54,784 - mmdet - INFO - Epoch [1][2650/7390] lr: 1.000e-02, eta: 12:15:27, time: 0.510, data_time: 0.010, memory: 42827, loss_cls: 8.1852, losses_bboxes: 0.5236, loss: 8.7088 2022-09-29 01:59:20,126 - mmdet - INFO - Epoch [1][2700/7390] lr: 1.000e-02, eta: 12:14:54, time: 0.508, data_time: 0.009, memory: 42827, loss_cls: 8.1748, losses_bboxes: 0.5244, loss: 8.6992 2022-09-29 01:59:45,559 - mmdet - INFO - Epoch [1][2750/7390] lr: 1.000e-02, eta: 12:14:18, time: 0.506, data_time: 0.008, memory: 42827, loss_cls: 8.1695, losses_bboxes: 0.5235, loss: 8.6929 2022-09-29 02:00:11,399 - mmdet - INFO - Epoch [1][2800/7390] lr: 1.000e-02, eta: 12:13:59, time: 0.517, data_time: 0.011, memory: 42827, loss_cls: 8.1567, losses_bboxes: 0.5231, loss: 8.6799 2022-09-29 02:00:36,552 - mmdet - INFO - Epoch [1][2850/7390] lr: 1.000e-02, eta: 12:13:22, time: 0.506, data_time: 0.011, memory: 42827, loss_cls: 8.1394, losses_bboxes: 0.5227, loss: 8.6621 2022-09-29 02:01:02,433 - mmdet - INFO - Epoch [1][2900/7390] lr: 1.000e-02, eta: 12:13:04, time: 0.518, data_time: 0.008, memory: 42827, loss_cls: 8.1275, losses_bboxes: 0.5221, loss: 8.6496 2022-09-29 02:01:27,594 - mmdet - INFO - Epoch [1][2950/7390] lr: 1.000e-02, eta: 12:12:24, time: 0.503, data_time: 0.008, memory: 42827, loss_cls: 8.1337, losses_bboxes: 0.5205, loss: 8.6542 2022-09-29 02:01:52,850 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 02:01:52,850 - mmdet - INFO - Epoch [1][3000/7390] lr: 1.000e-02, eta: 12:11:46, time: 0.504, data_time: 0.008, memory: 42827, loss_cls: 8.1161, losses_bboxes: 0.5215, loss: 8.6376 2022-09-29 02:02:18,210 - mmdet - INFO - Epoch [1][3050/7390] lr: 1.000e-02, eta: 12:11:15, time: 0.508, data_time: 0.010, memory: 42827, loss_cls: 8.1225, losses_bboxes: 0.5216, loss: 8.6441 2022-09-29 02:02:44,116 - mmdet - INFO - Epoch [1][3100/7390] lr: 1.000e-02, eta: 12:10:52, time: 0.514, data_time: 0.008, memory: 42827, loss_cls: 8.1100, losses_bboxes: 0.5201, loss: 8.6301 2022-09-29 02:03:09,801 - mmdet - INFO - Epoch [1][3150/7390] lr: 1.000e-02, eta: 12:10:32, time: 0.516, data_time: 0.012, memory: 42827, loss_cls: 8.0984, losses_bboxes: 0.5216, loss: 8.6200 2022-09-29 02:03:35,089 - mmdet - INFO - Epoch [1][3200/7390] lr: 1.000e-02, eta: 12:09:56, time: 0.505, data_time: 0.009, memory: 42827, loss_cls: 8.0930, losses_bboxes: 0.5208, loss: 8.6138 2022-09-29 02:04:00,441 - mmdet - INFO - Epoch [1][3250/7390] lr: 1.000e-02, eta: 12:09:22, time: 0.506, data_time: 0.011, memory: 42827, loss_cls: 8.1046, losses_bboxes: 0.5199, loss: 8.6245 2022-09-29 02:04:25,728 - mmdet - INFO - Epoch [1][3300/7390] lr: 1.000e-02, eta: 12:08:51, time: 0.508, data_time: 0.011, memory: 42827, loss_cls: 8.0831, losses_bboxes: 0.5198, loss: 8.6029 2022-09-29 02:04:50,995 - mmdet - INFO - Epoch [1][3350/7390] lr: 1.000e-02, eta: 12:08:18, time: 0.506, data_time: 0.009, memory: 42827, loss_cls: 8.0903, losses_bboxes: 0.5199, loss: 8.6102 2022-09-29 02:05:16,208 - mmdet - INFO - Epoch [1][3400/7390] lr: 1.000e-02, eta: 12:07:41, time: 0.504, data_time: 0.008, memory: 42827, loss_cls: 8.0849, losses_bboxes: 0.5188, loss: 8.6038 2022-09-29 02:05:41,851 - mmdet - INFO - Epoch [1][3450/7390] lr: 1.000e-02, eta: 12:07:18, time: 0.513, data_time: 0.009, memory: 42827, loss_cls: 8.0824, losses_bboxes: 0.5181, loss: 8.6005 2022-09-29 02:06:07,035 - mmdet - INFO - Epoch [1][3500/7390] lr: 1.000e-02, eta: 12:06:38, time: 0.500, data_time: 0.008, memory: 42827, loss_cls: 8.0804, losses_bboxes: 0.5179, loss: 8.5983 2022-09-29 02:06:32,508 - mmdet - INFO - Epoch [1][3550/7390] lr: 1.000e-02, eta: 12:06:12, time: 0.512, data_time: 0.012, memory: 42827, loss_cls: 8.0663, losses_bboxes: 0.5195, loss: 8.5858 2022-09-29 02:06:57,719 - mmdet - INFO - Epoch [1][3600/7390] lr: 1.000e-02, eta: 12:05:37, time: 0.504, data_time: 0.009, memory: 42861, loss_cls: 8.0783, losses_bboxes: 0.5171, loss: 8.5954 2022-09-29 02:07:23,420 - mmdet - INFO - Epoch [1][3650/7390] lr: 1.000e-02, eta: 12:05:16, time: 0.515, data_time: 0.010, memory: 42861, loss_cls: 8.0707, losses_bboxes: 0.5173, loss: 8.5880 2022-09-29 02:07:49,065 - mmdet - INFO - Epoch [1][3700/7390] lr: 1.000e-02, eta: 12:04:49, time: 0.511, data_time: 0.008, memory: 42861, loss_cls: 8.0776, losses_bboxes: 0.5164, loss: 8.5940 2022-09-29 02:08:14,822 - mmdet - INFO - Epoch [1][3750/7390] lr: 1.000e-02, eta: 12:04:27, time: 0.515, data_time: 0.010, memory: 42861, loss_cls: 8.0754, losses_bboxes: 0.5159, loss: 8.5913 2022-09-29 02:08:40,374 - mmdet - INFO - Epoch [1][3800/7390] lr: 1.000e-02, eta: 12:04:03, time: 0.513, data_time: 0.010, memory: 42861, loss_cls: 8.0676, losses_bboxes: 0.5162, loss: 8.5838 2022-09-29 02:09:05,824 - mmdet - INFO - Epoch [1][3850/7390] lr: 1.000e-02, eta: 12:03:34, time: 0.509, data_time: 0.009, memory: 42861, loss_cls: 8.0660, losses_bboxes: 0.5155, loss: 8.5815 2022-09-29 02:09:31,438 - mmdet - INFO - Epoch [1][3900/7390] lr: 1.000e-02, eta: 12:03:09, time: 0.512, data_time: 0.008, memory: 42861, loss_cls: 8.0718, losses_bboxes: 0.5148, loss: 8.5865 2022-09-29 02:09:57,120 - mmdet - INFO - Epoch [1][3950/7390] lr: 1.000e-02, eta: 12:02:44, time: 0.512, data_time: 0.008, memory: 42861, loss_cls: 8.0678, losses_bboxes: 0.5161, loss: 8.5840 2022-09-29 02:10:22,358 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 02:10:22,358 - mmdet - INFO - Epoch [1][4000/7390] lr: 1.000e-02, eta: 12:02:10, time: 0.504, data_time: 0.010, memory: 42861, loss_cls: 8.0566, losses_bboxes: 0.5155, loss: 8.5721 2022-09-29 02:10:47,866 - mmdet - INFO - Epoch [1][4050/7390] lr: 1.000e-02, eta: 12:01:44, time: 0.511, data_time: 0.011, memory: 42861, loss_cls: 8.0693, losses_bboxes: 0.5152, loss: 8.5845 2022-09-29 02:11:13,078 - mmdet - INFO - Epoch [1][4100/7390] lr: 1.000e-02, eta: 12:01:11, time: 0.505, data_time: 0.010, memory: 42861, loss_cls: 8.0658, losses_bboxes: 0.5151, loss: 8.5808 2022-09-29 02:11:38,366 - mmdet - INFO - Epoch [1][4150/7390] lr: 1.000e-02, eta: 12:00:38, time: 0.504, data_time: 0.010, memory: 42861, loss_cls: 8.0585, losses_bboxes: 0.5150, loss: 8.5735 2022-09-29 02:12:03,739 - mmdet - INFO - Epoch [1][4200/7390] lr: 1.000e-02, eta: 12:00:09, time: 0.508, data_time: 0.011, memory: 42861, loss_cls: 8.0552, losses_bboxes: 0.5141, loss: 8.5693 2022-09-29 02:12:29,350 - mmdet - INFO - Epoch [1][4250/7390] lr: 1.000e-02, eta: 11:59:46, time: 0.514, data_time: 0.010, memory: 42861, loss_cls: 8.0578, losses_bboxes: 0.5150, loss: 8.5728 2022-09-29 02:12:54,632 - mmdet - INFO - Epoch [1][4300/7390] lr: 1.000e-02, eta: 11:59:14, time: 0.504, data_time: 0.008, memory: 42861, loss_cls: 8.0476, losses_bboxes: 0.5137, loss: 8.5613 2022-09-29 02:13:19,927 - mmdet - INFO - Epoch [1][4350/7390] lr: 1.000e-02, eta: 11:58:42, time: 0.505, data_time: 0.010, memory: 42861, loss_cls: 8.0521, losses_bboxes: 0.5114, loss: 8.5635 2022-09-29 02:13:45,385 - mmdet - INFO - Epoch [1][4400/7390] lr: 1.000e-02, eta: 11:58:16, time: 0.511, data_time: 0.010, memory: 42861, loss_cls: 8.0408, losses_bboxes: 0.5130, loss: 8.5538 2022-09-29 02:14:10,977 - mmdet - INFO - Epoch [1][4450/7390] lr: 1.000e-02, eta: 11:57:49, time: 0.510, data_time: 0.009, memory: 42861, loss_cls: 8.0565, losses_bboxes: 0.5136, loss: 8.5700 2022-09-29 02:14:36,525 - mmdet - INFO - Epoch [1][4500/7390] lr: 1.000e-02, eta: 11:57:24, time: 0.512, data_time: 0.010, memory: 42861, loss_cls: 8.0423, losses_bboxes: 0.5130, loss: 8.5553 2022-09-29 02:15:01,867 - mmdet - INFO - Epoch [1][4550/7390] lr: 1.000e-02, eta: 11:56:55, time: 0.507, data_time: 0.009, memory: 42861, loss_cls: 8.0588, losses_bboxes: 0.5123, loss: 8.5711 2022-09-29 02:15:27,066 - mmdet - INFO - Epoch [1][4600/7390] lr: 1.000e-02, eta: 11:56:21, time: 0.502, data_time: 0.009, memory: 42861, loss_cls: 8.0457, losses_bboxes: 0.5117, loss: 8.5574 2022-09-29 02:15:52,146 - mmdet - INFO - Epoch [1][4650/7390] lr: 1.000e-02, eta: 11:55:49, time: 0.504, data_time: 0.011, memory: 42861, loss_cls: 8.0581, losses_bboxes: 0.5113, loss: 8.5694 2022-09-29 02:16:17,590 - mmdet - INFO - Epoch [1][4700/7390] lr: 1.000e-02, eta: 11:55:20, time: 0.507, data_time: 0.008, memory: 42861, loss_cls: 8.0444, losses_bboxes: 0.5122, loss: 8.5566 2022-09-29 02:16:43,412 - mmdet - INFO - Epoch [1][4750/7390] lr: 1.000e-02, eta: 11:55:00, time: 0.517, data_time: 0.010, memory: 42861, loss_cls: 8.0456, losses_bboxes: 0.5121, loss: 8.5577 2022-09-29 02:17:08,999 - mmdet - INFO - Epoch [1][4800/7390] lr: 1.000e-02, eta: 11:54:35, time: 0.512, data_time: 0.009, memory: 42861, loss_cls: 8.0470, losses_bboxes: 0.5124, loss: 8.5594 2022-09-29 02:17:34,656 - mmdet - INFO - Epoch [1][4850/7390] lr: 1.000e-02, eta: 11:54:11, time: 0.513, data_time: 0.009, memory: 42861, loss_cls: 8.0401, losses_bboxes: 0.5104, loss: 8.5506 2022-09-29 02:18:00,038 - mmdet - INFO - Epoch [1][4900/7390] lr: 1.000e-02, eta: 11:53:42, time: 0.507, data_time: 0.008, memory: 42861, loss_cls: 8.0480, losses_bboxes: 0.5111, loss: 8.5591 2022-09-29 02:18:25,950 - mmdet - INFO - Epoch [1][4950/7390] lr: 1.000e-02, eta: 11:53:22, time: 0.518, data_time: 0.009, memory: 42861, loss_cls: 8.0500, losses_bboxes: 0.5113, loss: 8.5612 2022-09-29 02:18:51,542 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 02:18:51,543 - mmdet - INFO - Epoch [1][5000/7390] lr: 1.000e-02, eta: 11:52:58, time: 0.513, data_time: 0.009, memory: 42861, loss_cls: 8.0459, losses_bboxes: 0.5118, loss: 8.5577 2022-09-29 02:19:17,351 - mmdet - INFO - Epoch [1][5050/7390] lr: 1.000e-02, eta: 11:52:35, time: 0.515, data_time: 0.008, memory: 42861, loss_cls: 8.0371, losses_bboxes: 0.5106, loss: 8.5477 2022-09-29 02:19:42,942 - mmdet - INFO - Epoch [1][5100/7390] lr: 1.000e-02, eta: 11:52:10, time: 0.511, data_time: 0.010, memory: 42861, loss_cls: 8.0440, losses_bboxes: 0.5099, loss: 8.5539 2022-09-29 02:20:08,433 - mmdet - INFO - Epoch [1][5150/7390] lr: 1.000e-02, eta: 11:51:45, time: 0.512, data_time: 0.010, memory: 42861, loss_cls: 8.0497, losses_bboxes: 0.5098, loss: 8.5595 2022-09-29 02:20:33,979 - mmdet - INFO - Epoch [1][5200/7390] lr: 1.000e-02, eta: 11:51:17, time: 0.509, data_time: 0.008, memory: 42861, loss_cls: 8.0482, losses_bboxes: 0.5096, loss: 8.5578 2022-09-29 02:20:59,699 - mmdet - INFO - Epoch [1][5250/7390] lr: 1.000e-02, eta: 11:50:54, time: 0.514, data_time: 0.011, memory: 42861, loss_cls: 8.0432, losses_bboxes: 0.5102, loss: 8.5535 2022-09-29 02:21:24,924 - mmdet - INFO - Epoch [1][5300/7390] lr: 1.000e-02, eta: 11:50:25, time: 0.507, data_time: 0.012, memory: 42861, loss_cls: 8.0449, losses_bboxes: 0.5091, loss: 8.5540 2022-09-29 02:21:50,324 - mmdet - INFO - Epoch [1][5350/7390] lr: 1.000e-02, eta: 11:49:56, time: 0.507, data_time: 0.009, memory: 42861, loss_cls: 8.0446, losses_bboxes: 0.5086, loss: 8.5532 2022-09-29 02:22:15,596 - mmdet - INFO - Epoch [1][5400/7390] lr: 1.000e-02, eta: 11:49:27, time: 0.506, data_time: 0.009, memory: 42861, loss_cls: 8.0348, losses_bboxes: 0.5082, loss: 8.5430 2022-09-29 02:22:41,245 - mmdet - INFO - Epoch [1][5450/7390] lr: 1.000e-02, eta: 11:49:01, time: 0.512, data_time: 0.009, memory: 42861, loss_cls: 8.0356, losses_bboxes: 0.5087, loss: 8.5443 2022-09-29 02:23:06,677 - mmdet - INFO - Epoch [1][5500/7390] lr: 1.000e-02, eta: 11:48:34, time: 0.508, data_time: 0.010, memory: 42861, loss_cls: 8.0421, losses_bboxes: 0.5075, loss: 8.5496 2022-09-29 02:23:32,268 - mmdet - INFO - Epoch [1][5550/7390] lr: 1.000e-02, eta: 11:48:10, time: 0.513, data_time: 0.010, memory: 42861, loss_cls: 8.0417, losses_bboxes: 0.5080, loss: 8.5497 2022-09-29 02:23:57,432 - mmdet - INFO - Epoch [1][5600/7390] lr: 1.000e-02, eta: 11:47:39, time: 0.504, data_time: 0.009, memory: 42861, loss_cls: 8.0308, losses_bboxes: 0.5098, loss: 8.5406 2022-09-29 02:24:22,314 - mmdet - INFO - Epoch [1][5650/7390] lr: 1.000e-02, eta: 11:47:03, time: 0.496, data_time: 0.008, memory: 42861, loss_cls: 8.0429, losses_bboxes: 0.5085, loss: 8.5514 2022-09-29 02:24:47,661 - mmdet - INFO - Epoch [1][5700/7390] lr: 1.000e-02, eta: 11:46:34, time: 0.507, data_time: 0.010, memory: 42861, loss_cls: 8.0345, losses_bboxes: 0.5085, loss: 8.5430 2022-09-29 02:25:12,622 - mmdet - INFO - Epoch [1][5750/7390] lr: 1.000e-02, eta: 11:46:01, time: 0.500, data_time: 0.010, memory: 42861, loss_cls: 8.0346, losses_bboxes: 0.5081, loss: 8.5427 2022-09-29 02:25:38,287 - mmdet - INFO - Epoch [1][5800/7390] lr: 1.000e-02, eta: 11:45:37, time: 0.513, data_time: 0.009, memory: 42861, loss_cls: 8.0346, losses_bboxes: 0.5078, loss: 8.5424 2022-09-29 02:26:03,970 - mmdet - INFO - Epoch [1][5850/7390] lr: 1.000e-02, eta: 11:45:12, time: 0.512, data_time: 0.010, memory: 42861, loss_cls: 8.0272, losses_bboxes: 0.5074, loss: 8.5346 2022-09-29 02:26:29,346 - mmdet - INFO - Epoch [1][5900/7390] lr: 1.000e-02, eta: 11:44:45, time: 0.509, data_time: 0.011, memory: 42861, loss_cls: 8.0294, losses_bboxes: 0.5098, loss: 8.5392 2022-09-29 02:26:55,177 - mmdet - INFO - Epoch [1][5950/7390] lr: 1.000e-02, eta: 11:44:24, time: 0.518, data_time: 0.010, memory: 42861, loss_cls: 8.0240, losses_bboxes: 0.5081, loss: 8.5320 2022-09-29 02:27:20,897 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 02:27:20,897 - mmdet - INFO - Epoch [1][6000/7390] lr: 1.000e-02, eta: 11:44:01, time: 0.515, data_time: 0.008, memory: 42861, loss_cls: 8.0399, losses_bboxes: 0.5078, loss: 8.5477 2022-09-29 02:27:46,536 - mmdet - INFO - Epoch [1][6050/7390] lr: 1.000e-02, eta: 11:43:36, time: 0.512, data_time: 0.008, memory: 42861, loss_cls: 8.0270, losses_bboxes: 0.5072, loss: 8.5342 2022-09-29 02:28:11,913 - mmdet - INFO - Epoch [1][6100/7390] lr: 1.000e-02, eta: 11:43:09, time: 0.508, data_time: 0.009, memory: 42861, loss_cls: 8.0239, losses_bboxes: 0.5059, loss: 8.5297 2022-09-29 02:28:37,349 - mmdet - INFO - Epoch [1][6150/7390] lr: 1.000e-02, eta: 11:42:41, time: 0.507, data_time: 0.009, memory: 42861, loss_cls: 8.0296, losses_bboxes: 0.5078, loss: 8.5374 2022-09-29 02:29:02,508 - mmdet - INFO - Epoch [1][6200/7390] lr: 1.000e-02, eta: 11:42:11, time: 0.504, data_time: 0.011, memory: 42861, loss_cls: 8.0323, losses_bboxes: 0.5065, loss: 8.5387 2022-09-29 02:29:27,860 - mmdet - INFO - Epoch [1][6250/7390] lr: 1.000e-02, eta: 11:41:42, time: 0.506, data_time: 0.010, memory: 42861, loss_cls: 8.0158, losses_bboxes: 0.5076, loss: 8.5234 2022-09-29 02:29:53,508 - mmdet - INFO - Epoch [1][6300/7390] lr: 1.000e-02, eta: 11:41:18, time: 0.513, data_time: 0.011, memory: 43003, loss_cls: 8.0179, losses_bboxes: 0.5073, loss: 8.5252 2022-09-29 02:30:18,986 - mmdet - INFO - Epoch [1][6350/7390] lr: 1.000e-02, eta: 11:40:52, time: 0.511, data_time: 0.011, memory: 43003, loss_cls: 8.0191, losses_bboxes: 0.5055, loss: 8.5246 2022-09-29 02:30:43,858 - mmdet - INFO - Epoch [1][6400/7390] lr: 1.000e-02, eta: 11:40:18, time: 0.497, data_time: 0.010, memory: 43003, loss_cls: 8.0098, losses_bboxes: 0.5055, loss: 8.5153 2022-09-29 02:31:09,454 - mmdet - INFO - Epoch [1][6450/7390] lr: 1.000e-02, eta: 11:39:52, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 8.0216, losses_bboxes: 0.5067, loss: 8.5283 2022-09-29 02:31:34,664 - mmdet - INFO - Epoch [1][6500/7390] lr: 1.000e-02, eta: 11:39:24, time: 0.507, data_time: 0.012, memory: 43003, loss_cls: 8.0251, losses_bboxes: 0.5065, loss: 8.5316 2022-09-29 02:32:00,230 - mmdet - INFO - Epoch [1][6550/7390] lr: 1.000e-02, eta: 11:38:59, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 8.0212, losses_bboxes: 0.5051, loss: 8.5263 2022-09-29 02:32:25,917 - mmdet - INFO - Epoch [1][6600/7390] lr: 1.000e-02, eta: 11:38:36, time: 0.514, data_time: 0.008, memory: 43003, loss_cls: 8.0172, losses_bboxes: 0.5063, loss: 8.5236 2022-09-29 02:32:51,371 - mmdet - INFO - Epoch [1][6650/7390] lr: 1.000e-02, eta: 11:38:08, time: 0.508, data_time: 0.008, memory: 43003, loss_cls: 8.0203, losses_bboxes: 0.5046, loss: 8.5250 2022-09-29 02:33:16,737 - mmdet - INFO - Epoch [1][6700/7390] lr: 1.000e-02, eta: 11:37:40, time: 0.506, data_time: 0.009, memory: 43003, loss_cls: 8.0123, losses_bboxes: 0.5048, loss: 8.5171 2022-09-29 02:33:44,387 - mmdet - INFO - Epoch [1][6750/7390] lr: 1.000e-02, eta: 11:37:41, time: 0.554, data_time: 0.011, memory: 43003, loss_cls: 8.0119, losses_bboxes: 0.5064, loss: 8.5183 2022-09-29 02:34:09,396 - mmdet - INFO - Epoch [1][6800/7390] lr: 1.000e-02, eta: 11:37:08, time: 0.499, data_time: 0.010, memory: 43003, loss_cls: 8.0147, losses_bboxes: 0.5071, loss: 8.5219 2022-09-29 02:34:41,712 - mmdet - INFO - Epoch [1][6850/7390] lr: 1.000e-02, eta: 11:38:04, time: 0.647, data_time: 0.011, memory: 43003, loss_cls: 8.0126, losses_bboxes: 0.5050, loss: 8.5175 2022-09-29 02:35:09,711 - mmdet - INFO - Epoch [1][6900/7390] lr: 1.000e-02, eta: 11:38:07, time: 0.560, data_time: 0.010, memory: 43003, loss_cls: 8.0109, losses_bboxes: 0.5041, loss: 8.5150 2022-09-29 02:35:38,144 - mmdet - INFO - Epoch [1][6950/7390] lr: 1.000e-02, eta: 11:38:15, time: 0.570, data_time: 0.010, memory: 43003, loss_cls: 8.0051, losses_bboxes: 0.5039, loss: 8.5090 2022-09-29 02:36:03,412 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 02:36:03,412 - mmdet - INFO - Epoch [1][7000/7390] lr: 1.000e-02, eta: 11:37:46, time: 0.506, data_time: 0.009, memory: 43003, loss_cls: 7.9985, losses_bboxes: 0.5031, loss: 8.5017 2022-09-29 02:36:33,482 - mmdet - INFO - Epoch [1][7050/7390] lr: 1.000e-02, eta: 11:38:10, time: 0.599, data_time: 0.008, memory: 43003, loss_cls: 8.0010, losses_bboxes: 0.5049, loss: 8.5059 2022-09-29 02:36:58,948 - mmdet - INFO - Epoch [1][7100/7390] lr: 1.000e-02, eta: 11:37:42, time: 0.509, data_time: 0.011, memory: 43003, loss_cls: 8.0164, losses_bboxes: 0.5043, loss: 8.5208 2022-09-29 02:37:24,447 - mmdet - INFO - Epoch [1][7150/7390] lr: 1.000e-02, eta: 11:37:16, time: 0.512, data_time: 0.011, memory: 43003, loss_cls: 8.0083, losses_bboxes: 0.5049, loss: 8.5132 2022-09-29 02:37:50,074 - mmdet - INFO - Epoch [1][7200/7390] lr: 1.000e-02, eta: 11:36:50, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 7.9955, losses_bboxes: 0.5035, loss: 8.4990 2022-09-29 02:38:15,393 - mmdet - INFO - Epoch [1][7250/7390] lr: 1.000e-02, eta: 11:36:20, time: 0.505, data_time: 0.009, memory: 43003, loss_cls: 8.0071, losses_bboxes: 0.5033, loss: 8.5104 2022-09-29 02:38:40,903 - mmdet - INFO - Epoch [1][7300/7390] lr: 1.000e-02, eta: 11:35:52, time: 0.510, data_time: 0.011, memory: 43003, loss_cls: 8.0040, losses_bboxes: 0.5030, loss: 8.5070 2022-09-29 02:39:06,467 - mmdet - INFO - Epoch [1][7350/7390] lr: 1.000e-02, eta: 11:35:26, time: 0.511, data_time: 0.010, memory: 43003, loss_cls: 8.0038, losses_bboxes: 0.5026, loss: 8.5064 2022-09-29 02:39:27,123 - mmdet - INFO - Saving checkpoint at 1 epochs 2022-09-29 02:39:56,731 - mmdet - INFO - Epoch [2][50/7390] lr: 1.000e-02, eta: 11:31:26, time: 0.569, data_time: 0.070, memory: 43003, loss_cls: 7.9880, losses_bboxes: 0.5026, loss: 8.4906 2022-09-29 02:40:22,525 - mmdet - INFO - Epoch [2][100/7390] lr: 1.000e-02, eta: 11:31:03, time: 0.517, data_time: 0.011, memory: 43003, loss_cls: 7.9924, losses_bboxes: 0.5014, loss: 8.4937 2022-09-29 02:40:48,344 - mmdet - INFO - Epoch [2][150/7390] lr: 1.000e-02, eta: 11:30:42, time: 0.518, data_time: 0.010, memory: 43003, loss_cls: 7.9873, losses_bboxes: 0.5045, loss: 8.4918 2022-09-29 02:41:13,470 - mmdet - INFO - Epoch [2][200/7390] lr: 1.000e-02, eta: 11:30:11, time: 0.501, data_time: 0.009, memory: 43003, loss_cls: 7.9924, losses_bboxes: 0.5029, loss: 8.4953 2022-09-29 02:41:38,974 - mmdet - INFO - Epoch [2][250/7390] lr: 1.000e-02, eta: 11:29:45, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9980, losses_bboxes: 0.5036, loss: 8.5016 2022-09-29 02:42:04,225 - mmdet - INFO - Epoch [2][300/7390] lr: 1.000e-02, eta: 11:29:17, time: 0.505, data_time: 0.011, memory: 43003, loss_cls: 7.9848, losses_bboxes: 0.5044, loss: 8.4892 2022-09-29 02:42:29,687 - mmdet - INFO - Epoch [2][350/7390] lr: 1.000e-02, eta: 11:28:51, time: 0.511, data_time: 0.010, memory: 43003, loss_cls: 7.9991, losses_bboxes: 0.5023, loss: 8.5014 2022-09-29 02:42:55,196 - mmdet - INFO - Epoch [2][400/7390] lr: 1.000e-02, eta: 11:28:25, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9896, losses_bboxes: 0.5007, loss: 8.4902 2022-09-29 02:43:20,709 - mmdet - INFO - Epoch [2][450/7390] lr: 1.000e-02, eta: 11:27:59, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9939, losses_bboxes: 0.5018, loss: 8.4956 2022-09-29 02:43:46,229 - mmdet - INFO - Epoch [2][500/7390] lr: 1.000e-02, eta: 11:27:34, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 7.9886, losses_bboxes: 0.5026, loss: 8.4912 2022-09-29 02:44:12,049 - mmdet - INFO - Epoch [2][550/7390] lr: 1.000e-02, eta: 11:27:11, time: 0.515, data_time: 0.009, memory: 43003, loss_cls: 7.9879, losses_bboxes: 0.5019, loss: 8.4898 2022-09-29 02:44:37,359 - mmdet - INFO - Epoch [2][600/7390] lr: 1.000e-02, eta: 11:26:43, time: 0.506, data_time: 0.010, memory: 43003, loss_cls: 7.9930, losses_bboxes: 0.5016, loss: 8.4946 2022-09-29 02:45:02,696 - mmdet - INFO - Epoch [2][650/7390] lr: 1.000e-02, eta: 11:26:15, time: 0.506, data_time: 0.010, memory: 43003, loss_cls: 7.9934, losses_bboxes: 0.5026, loss: 8.4960 2022-09-29 02:45:28,246 - mmdet - INFO - Epoch [2][700/7390] lr: 1.000e-02, eta: 11:25:50, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9746, losses_bboxes: 0.5013, loss: 8.4759 2022-09-29 02:45:53,776 - mmdet - INFO - Epoch [2][750/7390] lr: 1.000e-02, eta: 11:25:25, time: 0.513, data_time: 0.011, memory: 43003, loss_cls: 7.9842, losses_bboxes: 0.5028, loss: 8.4870 2022-09-29 02:46:19,267 - mmdet - INFO - Epoch [2][800/7390] lr: 1.000e-02, eta: 11:24:59, time: 0.509, data_time: 0.009, memory: 43003, loss_cls: 7.9789, losses_bboxes: 0.5017, loss: 8.4806 2022-09-29 02:46:44,367 - mmdet - INFO - Epoch [2][850/7390] lr: 1.000e-02, eta: 11:24:30, time: 0.503, data_time: 0.009, memory: 43003, loss_cls: 7.9880, losses_bboxes: 0.5005, loss: 8.4885 2022-09-29 02:47:09,784 - mmdet - INFO - Epoch [2][900/7390] lr: 1.000e-02, eta: 11:24:03, time: 0.507, data_time: 0.009, memory: 43003, loss_cls: 7.9821, losses_bboxes: 0.5005, loss: 8.4826 2022-09-29 02:47:34,880 - mmdet - INFO - Epoch [2][950/7390] lr: 1.000e-02, eta: 11:23:33, time: 0.502, data_time: 0.009, memory: 43003, loss_cls: 7.9817, losses_bboxes: 0.5008, loss: 8.4825 2022-09-29 02:48:00,835 - mmdet - INFO - Epoch [2][1000/7390] lr: 1.000e-02, eta: 11:23:12, time: 0.519, data_time: 0.010, memory: 43003, loss_cls: 7.9722, losses_bboxes: 0.5019, loss: 8.4741 2022-09-29 02:48:26,547 - mmdet - INFO - Epoch [2][1050/7390] lr: 1.000e-02, eta: 11:22:48, time: 0.514, data_time: 0.009, memory: 43003, loss_cls: 7.9758, losses_bboxes: 0.5007, loss: 8.4765 2022-09-29 02:48:52,217 - mmdet - INFO - Epoch [2][1100/7390] lr: 1.000e-02, eta: 11:22:23, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 7.9729, losses_bboxes: 0.5006, loss: 8.4735 2022-09-29 02:49:17,702 - mmdet - INFO - Epoch [2][1150/7390] lr: 1.000e-02, eta: 11:21:58, time: 0.511, data_time: 0.011, memory: 43003, loss_cls: 7.9826, losses_bboxes: 0.5006, loss: 8.4833 2022-09-29 02:49:42,727 - mmdet - INFO - Epoch [2][1200/7390] lr: 1.000e-02, eta: 11:21:27, time: 0.499, data_time: 0.009, memory: 43003, loss_cls: 7.9863, losses_bboxes: 0.5013, loss: 8.4875 2022-09-29 02:50:07,823 - mmdet - INFO - Epoch [2][1250/7390] lr: 1.000e-02, eta: 11:20:58, time: 0.504, data_time: 0.012, memory: 43003, loss_cls: 7.9937, losses_bboxes: 0.5014, loss: 8.4951 2022-09-29 02:50:33,306 - mmdet - INFO - Epoch [2][1300/7390] lr: 1.000e-02, eta: 11:20:32, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9732, losses_bboxes: 0.5021, loss: 8.4752 2022-09-29 02:50:58,788 - mmdet - INFO - Epoch [2][1350/7390] lr: 1.000e-02, eta: 11:20:06, time: 0.509, data_time: 0.009, memory: 43003, loss_cls: 7.9671, losses_bboxes: 0.5003, loss: 8.4675 2022-09-29 02:51:24,027 - mmdet - INFO - Epoch [2][1400/7390] lr: 1.000e-02, eta: 11:19:38, time: 0.506, data_time: 0.010, memory: 43003, loss_cls: 7.9807, losses_bboxes: 0.5001, loss: 8.4809 2022-09-29 02:51:49,243 - mmdet - INFO - Epoch [2][1450/7390] lr: 1.000e-02, eta: 11:19:09, time: 0.503, data_time: 0.008, memory: 43003, loss_cls: 7.9814, losses_bboxes: 0.5031, loss: 8.4845 2022-09-29 02:52:14,625 - mmdet - INFO - Epoch [2][1500/7390] lr: 1.000e-02, eta: 11:18:43, time: 0.508, data_time: 0.010, memory: 43003, loss_cls: 7.9812, losses_bboxes: 0.4989, loss: 8.4802 2022-09-29 02:52:40,016 - mmdet - INFO - Epoch [2][1550/7390] lr: 1.000e-02, eta: 11:18:17, time: 0.509, data_time: 0.009, memory: 43003, loss_cls: 7.9846, losses_bboxes: 0.4994, loss: 8.4839 2022-09-29 02:53:05,882 - mmdet - INFO - Epoch [2][1600/7390] lr: 1.000e-02, eta: 11:17:53, time: 0.515, data_time: 0.008, memory: 43003, loss_cls: 7.9798, losses_bboxes: 0.5012, loss: 8.4809 2022-09-29 02:53:31,124 - mmdet - INFO - Epoch [2][1650/7390] lr: 1.000e-02, eta: 11:17:25, time: 0.506, data_time: 0.011, memory: 43003, loss_cls: 7.9711, losses_bboxes: 0.4994, loss: 8.4705 2022-09-29 02:53:56,432 - mmdet - INFO - Epoch [2][1700/7390] lr: 1.000e-02, eta: 11:16:58, time: 0.506, data_time: 0.010, memory: 43003, loss_cls: 7.9622, losses_bboxes: 0.4994, loss: 8.4616 2022-09-29 02:54:21,875 - mmdet - INFO - Epoch [2][1750/7390] lr: 1.000e-02, eta: 11:16:32, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9660, losses_bboxes: 0.4992, loss: 8.4652 2022-09-29 02:54:47,105 - mmdet - INFO - Epoch [2][1800/7390] lr: 1.000e-02, eta: 11:16:04, time: 0.505, data_time: 0.009, memory: 43003, loss_cls: 7.9782, losses_bboxes: 0.5014, loss: 8.4796 2022-09-29 02:55:12,410 - mmdet - INFO - Epoch [2][1850/7390] lr: 1.000e-02, eta: 11:15:36, time: 0.504, data_time: 0.010, memory: 43003, loss_cls: 7.9834, losses_bboxes: 0.5002, loss: 8.4836 2022-09-29 02:55:38,050 - mmdet - INFO - Epoch [2][1900/7390] lr: 1.000e-02, eta: 11:15:12, time: 0.513, data_time: 0.011, memory: 43003, loss_cls: 7.9694, losses_bboxes: 0.4997, loss: 8.4691 2022-09-29 02:56:03,305 - mmdet - INFO - Epoch [2][1950/7390] lr: 1.000e-02, eta: 11:14:45, time: 0.507, data_time: 0.011, memory: 43003, loss_cls: 7.9683, losses_bboxes: 0.4992, loss: 8.4675 2022-09-29 02:56:29,160 - mmdet - INFO - Epoch [2][2000/7390] lr: 1.000e-02, eta: 11:14:22, time: 0.516, data_time: 0.008, memory: 43003, loss_cls: 7.9650, losses_bboxes: 0.4985, loss: 8.4636 2022-09-29 02:56:54,703 - mmdet - INFO - Epoch [2][2050/7390] lr: 1.000e-02, eta: 11:13:56, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9658, losses_bboxes: 0.4996, loss: 8.4655 2022-09-29 02:57:20,676 - mmdet - INFO - Epoch [2][2100/7390] lr: 1.000e-02, eta: 11:13:35, time: 0.521, data_time: 0.010, memory: 43003, loss_cls: 7.9616, losses_bboxes: 0.5001, loss: 8.4618 2022-09-29 02:57:45,607 - mmdet - INFO - Epoch [2][2150/7390] lr: 1.000e-02, eta: 11:13:05, time: 0.498, data_time: 0.009, memory: 43003, loss_cls: 7.9745, losses_bboxes: 0.4991, loss: 8.4736 2022-09-29 02:58:11,319 - mmdet - INFO - Epoch [2][2200/7390] lr: 1.000e-02, eta: 11:12:41, time: 0.514, data_time: 0.009, memory: 43003, loss_cls: 7.9648, losses_bboxes: 0.5000, loss: 8.4648 2022-09-29 02:58:37,094 - mmdet - INFO - Epoch [2][2250/7390] lr: 1.000e-02, eta: 11:12:17, time: 0.516, data_time: 0.010, memory: 43003, loss_cls: 7.9694, losses_bboxes: 0.4992, loss: 8.4687 2022-09-29 02:59:03,049 - mmdet - INFO - Epoch [2][2300/7390] lr: 1.000e-02, eta: 11:11:55, time: 0.519, data_time: 0.010, memory: 43003, loss_cls: 7.9626, losses_bboxes: 0.4990, loss: 8.4616 2022-09-29 02:59:28,221 - mmdet - INFO - Epoch [2][2350/7390] lr: 1.000e-02, eta: 11:11:27, time: 0.504, data_time: 0.010, memory: 43003, loss_cls: 7.9692, losses_bboxes: 0.4990, loss: 8.4682 2022-09-29 02:59:53,799 - mmdet - INFO - Epoch [2][2400/7390] lr: 1.000e-02, eta: 11:11:02, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 7.9626, losses_bboxes: 0.4990, loss: 8.4616 2022-09-29 03:00:19,305 - mmdet - INFO - Epoch [2][2450/7390] lr: 1.000e-02, eta: 11:10:37, time: 0.511, data_time: 0.010, memory: 43003, loss_cls: 7.9757, losses_bboxes: 0.4987, loss: 8.4743 2022-09-29 03:00:45,021 - mmdet - INFO - Epoch [2][2500/7390] lr: 1.000e-02, eta: 11:10:12, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 7.9564, losses_bboxes: 0.4957, loss: 8.4521 2022-09-29 03:01:10,660 - mmdet - INFO - Epoch [2][2550/7390] lr: 1.000e-02, eta: 11:09:48, time: 0.514, data_time: 0.011, memory: 43003, loss_cls: 7.9683, losses_bboxes: 0.4996, loss: 8.4678 2022-09-29 03:01:36,303 - mmdet - INFO - Epoch [2][2600/7390] lr: 1.000e-02, eta: 11:09:23, time: 0.512, data_time: 0.010, memory: 43003, loss_cls: 7.9685, losses_bboxes: 0.4976, loss: 8.4661 2022-09-29 03:02:01,986 - mmdet - INFO - Epoch [2][2650/7390] lr: 1.000e-02, eta: 11:08:59, time: 0.515, data_time: 0.010, memory: 43003, loss_cls: 7.9661, losses_bboxes: 0.4974, loss: 8.4635 2022-09-29 03:02:27,582 - mmdet - INFO - Epoch [2][2700/7390] lr: 1.000e-02, eta: 11:08:34, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9694, losses_bboxes: 0.4976, loss: 8.4669 2022-09-29 03:02:53,163 - mmdet - INFO - Epoch [2][2750/7390] lr: 1.000e-02, eta: 11:08:09, time: 0.513, data_time: 0.011, memory: 43003, loss_cls: 7.9694, losses_bboxes: 0.4986, loss: 8.4680 2022-09-29 03:03:18,249 - mmdet - INFO - Epoch [2][2800/7390] lr: 1.000e-02, eta: 11:07:40, time: 0.502, data_time: 0.010, memory: 43003, loss_cls: 7.9604, losses_bboxes: 0.4995, loss: 8.4599 2022-09-29 03:03:43,686 - mmdet - INFO - Epoch [2][2850/7390] lr: 1.000e-02, eta: 11:07:14, time: 0.508, data_time: 0.009, memory: 43003, loss_cls: 7.9689, losses_bboxes: 0.4984, loss: 8.4673 2022-09-29 03:04:09,231 - mmdet - INFO - Epoch [2][2900/7390] lr: 1.000e-02, eta: 11:06:49, time: 0.513, data_time: 0.010, memory: 43003, loss_cls: 7.9684, losses_bboxes: 0.4974, loss: 8.4658 2022-09-29 03:04:34,895 - mmdet - INFO - Epoch [2][2950/7390] lr: 1.000e-02, eta: 11:06:25, time: 0.513, data_time: 0.009, memory: 43003, loss_cls: 7.9622, losses_bboxes: 0.4965, loss: 8.4587 2022-09-29 03:05:00,150 - mmdet - INFO - Epoch [2][3000/7390] lr: 1.000e-02, eta: 11:05:57, time: 0.504, data_time: 0.008, memory: 43003, loss_cls: 7.9683, losses_bboxes: 0.4984, loss: 8.4667 2022-09-29 03:05:25,513 - mmdet - INFO - Epoch [2][3050/7390] lr: 1.000e-02, eta: 11:05:30, time: 0.508, data_time: 0.009, memory: 43003, loss_cls: 7.9638, losses_bboxes: 0.4977, loss: 8.4614 2022-09-29 03:05:50,915 - mmdet - INFO - Epoch [2][3100/7390] lr: 1.000e-02, eta: 11:05:04, time: 0.507, data_time: 0.008, memory: 43003, loss_cls: 7.9579, losses_bboxes: 0.4973, loss: 8.4551 2022-09-29 03:06:16,213 - mmdet - INFO - Epoch [2][3150/7390] lr: 1.000e-02, eta: 11:04:37, time: 0.507, data_time: 0.010, memory: 43003, loss_cls: 7.9565, losses_bboxes: 0.4976, loss: 8.4541 2022-09-29 03:06:41,798 - mmdet - INFO - Epoch [2][3200/7390] lr: 1.000e-02, eta: 11:04:11, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9542, losses_bboxes: 0.4973, loss: 8.4516 2022-09-29 03:07:07,522 - mmdet - INFO - Epoch [2][3250/7390] lr: 1.000e-02, eta: 11:03:47, time: 0.513, data_time: 0.010, memory: 43003, loss_cls: 7.9690, losses_bboxes: 0.4984, loss: 8.4674 2022-09-29 03:07:32,986 - mmdet - INFO - Epoch [2][3300/7390] lr: 1.000e-02, eta: 11:03:22, time: 0.511, data_time: 0.011, memory: 43003, loss_cls: 7.9534, losses_bboxes: 0.4983, loss: 8.4517 2022-09-29 03:07:58,235 - mmdet - INFO - Epoch [2][3350/7390] lr: 1.000e-02, eta: 11:02:54, time: 0.504, data_time: 0.009, memory: 43003, loss_cls: 7.9517, losses_bboxes: 0.4973, loss: 8.4490 2022-09-29 03:08:23,884 - mmdet - INFO - Epoch [2][3400/7390] lr: 1.000e-02, eta: 11:02:29, time: 0.512, data_time: 0.010, memory: 43003, loss_cls: 7.9581, losses_bboxes: 0.4975, loss: 8.4556 2022-09-29 03:08:49,844 - mmdet - INFO - Epoch [2][3450/7390] lr: 1.000e-02, eta: 11:02:07, time: 0.521, data_time: 0.012, memory: 43003, loss_cls: 7.9666, losses_bboxes: 0.4976, loss: 8.4643 2022-09-29 03:09:15,500 - mmdet - INFO - Epoch [2][3500/7390] lr: 1.000e-02, eta: 11:01:42, time: 0.512, data_time: 0.011, memory: 43003, loss_cls: 7.9628, losses_bboxes: 0.4964, loss: 8.4592 2022-09-29 03:09:40,783 - mmdet - INFO - Epoch [2][3550/7390] lr: 1.000e-02, eta: 11:01:16, time: 0.508, data_time: 0.011, memory: 43003, loss_cls: 7.9559, losses_bboxes: 0.4956, loss: 8.4515 2022-09-29 03:10:06,437 - mmdet - INFO - Epoch [2][3600/7390] lr: 1.000e-02, eta: 11:00:50, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9567, losses_bboxes: 0.4968, loss: 8.4535 2022-09-29 03:10:31,845 - mmdet - INFO - Epoch [2][3650/7390] lr: 1.000e-02, eta: 11:00:25, time: 0.511, data_time: 0.012, memory: 43003, loss_cls: 7.9551, losses_bboxes: 0.4954, loss: 8.4505 2022-09-29 03:10:57,491 - mmdet - INFO - Epoch [2][3700/7390] lr: 1.000e-02, eta: 11:00:00, time: 0.512, data_time: 0.008, memory: 43003, loss_cls: 7.9687, losses_bboxes: 0.4955, loss: 8.4643 2022-09-29 03:11:23,090 - mmdet - INFO - Epoch [2][3750/7390] lr: 1.000e-02, eta: 10:59:35, time: 0.511, data_time: 0.010, memory: 43003, loss_cls: 7.9683, losses_bboxes: 0.4960, loss: 8.4643 2022-09-29 03:11:48,685 - mmdet - INFO - Epoch [2][3800/7390] lr: 1.000e-02, eta: 10:59:10, time: 0.513, data_time: 0.012, memory: 43003, loss_cls: 7.9578, losses_bboxes: 0.4990, loss: 8.4568 2022-09-29 03:12:14,005 - mmdet - INFO - Epoch [2][3850/7390] lr: 1.000e-02, eta: 10:58:43, time: 0.507, data_time: 0.010, memory: 43003, loss_cls: 7.9529, losses_bboxes: 0.4962, loss: 8.4491 2022-09-29 03:12:39,544 - mmdet - INFO - Epoch [2][3900/7390] lr: 1.000e-02, eta: 10:58:18, time: 0.512, data_time: 0.010, memory: 43003, loss_cls: 7.9539, losses_bboxes: 0.4975, loss: 8.4514 2022-09-29 03:13:05,122 - mmdet - INFO - Epoch [2][3950/7390] lr: 1.000e-02, eta: 10:57:53, time: 0.510, data_time: 0.008, memory: 43003, loss_cls: 7.9516, losses_bboxes: 0.4960, loss: 8.4476 2022-09-29 03:13:30,645 - mmdet - INFO - Epoch [2][4000/7390] lr: 1.000e-02, eta: 10:57:28, time: 0.512, data_time: 0.010, memory: 43003, loss_cls: 7.9538, losses_bboxes: 0.4960, loss: 8.4498 2022-09-29 03:13:56,339 - mmdet - INFO - Epoch [2][4050/7390] lr: 1.000e-02, eta: 10:57:03, time: 0.513, data_time: 0.008, memory: 43003, loss_cls: 7.9579, losses_bboxes: 0.4959, loss: 8.4539 2022-09-29 03:14:21,721 - mmdet - INFO - Epoch [2][4100/7390] lr: 1.000e-02, eta: 10:56:36, time: 0.508, data_time: 0.010, memory: 43003, loss_cls: 7.9543, losses_bboxes: 0.4964, loss: 8.4507 2022-09-29 03:14:47,011 - mmdet - INFO - Epoch [2][4150/7390] lr: 1.000e-02, eta: 10:56:09, time: 0.506, data_time: 0.010, memory: 43003, loss_cls: 7.9533, losses_bboxes: 0.4944, loss: 8.4476 2022-09-29 03:15:12,398 - mmdet - INFO - Epoch [2][4200/7390] lr: 1.000e-02, eta: 10:55:43, time: 0.508, data_time: 0.010, memory: 43003, loss_cls: 7.9529, losses_bboxes: 0.4956, loss: 8.4485 2022-09-29 03:15:37,659 - mmdet - INFO - Epoch [2][4250/7390] lr: 1.000e-02, eta: 10:55:16, time: 0.505, data_time: 0.009, memory: 43003, loss_cls: 7.9492, losses_bboxes: 0.4952, loss: 8.4444 2022-09-29 03:16:02,584 - mmdet - INFO - Epoch [2][4300/7390] lr: 1.000e-02, eta: 10:54:46, time: 0.497, data_time: 0.009, memory: 43003, loss_cls: 7.9520, losses_bboxes: 0.4960, loss: 8.4480 2022-09-29 03:16:28,031 - mmdet - INFO - Epoch [2][4350/7390] lr: 1.000e-02, eta: 10:54:20, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9543, losses_bboxes: 0.4954, loss: 8.4497 2022-09-29 03:16:53,642 - mmdet - INFO - Epoch [2][4400/7390] lr: 1.000e-02, eta: 10:53:55, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 7.9506, losses_bboxes: 0.4970, loss: 8.4476 2022-09-29 03:17:18,628 - mmdet - INFO - Epoch [2][4450/7390] lr: 1.000e-02, eta: 10:53:27, time: 0.501, data_time: 0.010, memory: 43003, loss_cls: 7.9498, losses_bboxes: 0.4950, loss: 8.4448 2022-09-29 03:17:44,145 - mmdet - INFO - Epoch [2][4500/7390] lr: 1.000e-02, eta: 10:53:01, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 7.9478, losses_bboxes: 0.4959, loss: 8.4437 2022-09-29 03:18:09,624 - mmdet - INFO - Epoch [2][4550/7390] lr: 1.000e-02, eta: 10:52:36, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9530, losses_bboxes: 0.4958, loss: 8.4488 2022-09-29 03:18:35,179 - mmdet - INFO - Epoch [2][4600/7390] lr: 1.000e-02, eta: 10:52:10, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9431, losses_bboxes: 0.4971, loss: 8.4402 2022-09-29 03:19:01,049 - mmdet - INFO - Epoch [2][4650/7390] lr: 1.000e-02, eta: 10:51:47, time: 0.518, data_time: 0.010, memory: 43003, loss_cls: 7.9348, losses_bboxes: 0.4946, loss: 8.4294 2022-09-29 03:19:26,430 - mmdet - INFO - Epoch [2][4700/7390] lr: 1.000e-02, eta: 10:51:21, time: 0.509, data_time: 0.010, memory: 43003, loss_cls: 7.9470, losses_bboxes: 0.4955, loss: 8.4425 2022-09-29 03:19:52,222 - mmdet - INFO - Epoch [2][4750/7390] lr: 1.000e-02, eta: 10:50:56, time: 0.514, data_time: 0.009, memory: 43003, loss_cls: 7.9487, losses_bboxes: 0.4948, loss: 8.4435 2022-09-29 03:20:17,913 - mmdet - INFO - Epoch [2][4800/7390] lr: 1.000e-02, eta: 10:50:33, time: 0.516, data_time: 0.010, memory: 43003, loss_cls: 7.9504, losses_bboxes: 0.4948, loss: 8.4452 2022-09-29 03:20:43,528 - mmdet - INFO - Epoch [2][4850/7390] lr: 1.000e-02, eta: 10:50:07, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 7.9466, losses_bboxes: 0.4954, loss: 8.4420 2022-09-29 03:21:08,822 - mmdet - INFO - Epoch [2][4900/7390] lr: 1.000e-02, eta: 10:49:41, time: 0.507, data_time: 0.010, memory: 43003, loss_cls: 7.9416, losses_bboxes: 0.4947, loss: 8.4363 2022-09-29 03:21:34,730 - mmdet - INFO - Epoch [2][4950/7390] lr: 1.000e-02, eta: 10:49:17, time: 0.517, data_time: 0.009, memory: 43003, loss_cls: 7.9507, losses_bboxes: 0.4970, loss: 8.4477 2022-09-29 03:22:00,175 - mmdet - INFO - Epoch [2][5000/7390] lr: 1.000e-02, eta: 10:48:52, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9554, losses_bboxes: 0.4937, loss: 8.4490 2022-09-29 03:22:25,661 - mmdet - INFO - Epoch [2][5050/7390] lr: 1.000e-02, eta: 10:48:25, time: 0.508, data_time: 0.009, memory: 43003, loss_cls: 7.9420, losses_bboxes: 0.4952, loss: 8.4372 2022-09-29 03:22:51,431 - mmdet - INFO - Epoch [2][5100/7390] lr: 1.000e-02, eta: 10:48:02, time: 0.516, data_time: 0.011, memory: 43003, loss_cls: 7.9485, losses_bboxes: 0.4959, loss: 8.4444 2022-09-29 03:23:16,718 - mmdet - INFO - Epoch [2][5150/7390] lr: 1.000e-02, eta: 10:47:35, time: 0.507, data_time: 0.010, memory: 43003, loss_cls: 7.9412, losses_bboxes: 0.4959, loss: 8.4371 2022-09-29 03:23:42,168 - mmdet - INFO - Epoch [2][5200/7390] lr: 1.000e-02, eta: 10:47:09, time: 0.509, data_time: 0.009, memory: 43003, loss_cls: 7.9485, losses_bboxes: 0.4950, loss: 8.4434 2022-09-29 03:24:07,291 - mmdet - INFO - Epoch [2][5250/7390] lr: 1.000e-02, eta: 10:46:41, time: 0.502, data_time: 0.009, memory: 43003, loss_cls: 7.9471, losses_bboxes: 0.4947, loss: 8.4418 2022-09-29 03:24:32,829 - mmdet - INFO - Epoch [2][5300/7390] lr: 1.000e-02, eta: 10:46:16, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 7.9431, losses_bboxes: 0.4957, loss: 8.4389 2022-09-29 03:24:58,432 - mmdet - INFO - Epoch [2][5350/7390] lr: 1.000e-02, eta: 10:45:51, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 7.9500, losses_bboxes: 0.4958, loss: 8.4459 2022-09-29 03:25:24,093 - mmdet - INFO - Epoch [2][5400/7390] lr: 1.000e-02, eta: 10:45:26, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 7.9557, losses_bboxes: 0.4951, loss: 8.4508 2022-09-29 03:25:49,649 - mmdet - INFO - Epoch [2][5450/7390] lr: 1.000e-02, eta: 10:45:01, time: 0.512, data_time: 0.010, memory: 43003, loss_cls: 7.9483, losses_bboxes: 0.4931, loss: 8.4414 2022-09-29 03:26:15,740 - mmdet - INFO - Epoch [2][5500/7390] lr: 1.000e-02, eta: 10:44:39, time: 0.522, data_time: 0.009, memory: 43003, loss_cls: 7.9443, losses_bboxes: 0.4946, loss: 8.4389 2022-09-29 03:26:41,668 - mmdet - INFO - Epoch [2][5550/7390] lr: 1.000e-02, eta: 10:44:16, time: 0.519, data_time: 0.009, memory: 43003, loss_cls: 7.9413, losses_bboxes: 0.4940, loss: 8.4353 2022-09-29 03:27:07,062 - mmdet - INFO - Epoch [2][5600/7390] lr: 1.000e-02, eta: 10:43:49, time: 0.507, data_time: 0.009, memory: 43003, loss_cls: 7.9385, losses_bboxes: 0.4941, loss: 8.4326 2022-09-29 03:27:32,759 - mmdet - INFO - Epoch [2][5650/7390] lr: 1.000e-02, eta: 10:43:24, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 7.9372, losses_bboxes: 0.4943, loss: 8.4314 2022-09-29 03:27:58,739 - mmdet - INFO - Epoch [2][5700/7390] lr: 1.000e-02, eta: 10:43:02, time: 0.521, data_time: 0.011, memory: 43003, loss_cls: 7.9377, losses_bboxes: 0.4937, loss: 8.4314 2022-09-29 03:28:24,094 - mmdet - INFO - Epoch [2][5750/7390] lr: 1.000e-02, eta: 10:42:35, time: 0.506, data_time: 0.009, memory: 43003, loss_cls: 7.9304, losses_bboxes: 0.4931, loss: 8.4235 2022-09-29 03:28:49,745 - mmdet - INFO - Epoch [2][5800/7390] lr: 1.000e-02, eta: 10:42:11, time: 0.513, data_time: 0.010, memory: 43003, loss_cls: 7.9341, losses_bboxes: 0.4939, loss: 8.4280 2022-09-29 03:29:15,071 - mmdet - INFO - Epoch [2][5850/7390] lr: 1.000e-02, eta: 10:41:44, time: 0.506, data_time: 0.010, memory: 43003, loss_cls: 7.9428, losses_bboxes: 0.4951, loss: 8.4379 2022-09-29 03:29:40,525 - mmdet - INFO - Epoch [2][5900/7390] lr: 1.000e-02, eta: 10:41:18, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9522, losses_bboxes: 0.4930, loss: 8.4452 2022-09-29 03:30:06,251 - mmdet - INFO - Epoch [2][5950/7390] lr: 1.000e-02, eta: 10:40:54, time: 0.513, data_time: 0.009, memory: 43003, loss_cls: 7.9329, losses_bboxes: 0.4940, loss: 8.4269 2022-09-29 03:30:31,808 - mmdet - INFO - Epoch [2][6000/7390] lr: 1.000e-02, eta: 10:40:29, time: 0.512, data_time: 0.010, memory: 43003, loss_cls: 7.9404, losses_bboxes: 0.4934, loss: 8.4338 2022-09-29 03:30:56,674 - mmdet - INFO - Epoch [2][6050/7390] lr: 1.000e-02, eta: 10:39:59, time: 0.498, data_time: 0.009, memory: 43003, loss_cls: 7.9446, losses_bboxes: 0.4927, loss: 8.4373 2022-09-29 03:31:22,448 - mmdet - INFO - Epoch [2][6100/7390] lr: 1.000e-02, eta: 10:39:36, time: 0.516, data_time: 0.009, memory: 43003, loss_cls: 7.9437, losses_bboxes: 0.4931, loss: 8.4368 2022-09-29 03:31:48,245 - mmdet - INFO - Epoch [2][6150/7390] lr: 1.000e-02, eta: 10:39:12, time: 0.516, data_time: 0.009, memory: 43003, loss_cls: 7.9340, losses_bboxes: 0.4930, loss: 8.4271 2022-09-29 03:32:13,492 - mmdet - INFO - Epoch [2][6200/7390] lr: 1.000e-02, eta: 10:38:44, time: 0.504, data_time: 0.008, memory: 43003, loss_cls: 7.9420, losses_bboxes: 0.4929, loss: 8.4349 2022-09-29 03:32:39,291 - mmdet - INFO - Epoch [2][6250/7390] lr: 1.000e-02, eta: 10:38:20, time: 0.516, data_time: 0.010, memory: 43003, loss_cls: 7.9398, losses_bboxes: 0.4932, loss: 8.4330 2022-09-29 03:33:04,790 - mmdet - INFO - Epoch [2][6300/7390] lr: 1.000e-02, eta: 10:37:55, time: 0.509, data_time: 0.009, memory: 43003, loss_cls: 7.9373, losses_bboxes: 0.4936, loss: 8.4309 2022-09-29 03:33:30,388 - mmdet - INFO - Epoch [2][6350/7390] lr: 1.000e-02, eta: 10:37:30, time: 0.512, data_time: 0.010, memory: 43003, loss_cls: 7.9433, losses_bboxes: 0.4933, loss: 8.4366 2022-09-29 03:33:56,301 - mmdet - INFO - Epoch [2][6400/7390] lr: 1.000e-02, eta: 10:37:06, time: 0.519, data_time: 0.009, memory: 43003, loss_cls: 7.9353, losses_bboxes: 0.4948, loss: 8.4301 2022-09-29 03:34:21,921 - mmdet - INFO - Epoch [2][6450/7390] lr: 1.000e-02, eta: 10:36:41, time: 0.513, data_time: 0.009, memory: 43003, loss_cls: 7.9345, losses_bboxes: 0.4923, loss: 8.4267 2022-09-29 03:34:47,319 - mmdet - INFO - Epoch [2][6500/7390] lr: 1.000e-02, eta: 10:36:15, time: 0.506, data_time: 0.008, memory: 43003, loss_cls: 7.9317, losses_bboxes: 0.4919, loss: 8.4236 2022-09-29 03:35:13,391 - mmdet - INFO - Epoch [2][6550/7390] lr: 1.000e-02, eta: 10:35:53, time: 0.523, data_time: 0.010, memory: 43003, loss_cls: 7.9373, losses_bboxes: 0.4926, loss: 8.4299 2022-09-29 03:35:38,825 - mmdet - INFO - Epoch [2][6600/7390] lr: 1.000e-02, eta: 10:35:27, time: 0.508, data_time: 0.009, memory: 43003, loss_cls: 7.9317, losses_bboxes: 0.4921, loss: 8.4238 2022-09-29 03:36:04,023 - mmdet - INFO - Epoch [2][6650/7390] lr: 1.000e-02, eta: 10:34:59, time: 0.503, data_time: 0.009, memory: 43003, loss_cls: 7.9429, losses_bboxes: 0.4914, loss: 8.4342 2022-09-29 03:36:29,191 - mmdet - INFO - Epoch [2][6700/7390] lr: 1.000e-02, eta: 10:34:32, time: 0.504, data_time: 0.009, memory: 43003, loss_cls: 7.9365, losses_bboxes: 0.4917, loss: 8.4282 2022-09-29 03:36:55,005 - mmdet - INFO - Epoch [2][6750/7390] lr: 1.000e-02, eta: 10:34:08, time: 0.517, data_time: 0.009, memory: 43003, loss_cls: 7.9388, losses_bboxes: 0.4921, loss: 8.4309 2022-09-29 03:37:20,698 - mmdet - INFO - Epoch [2][6800/7390] lr: 1.000e-02, eta: 10:33:43, time: 0.511, data_time: 0.008, memory: 43003, loss_cls: 7.9325, losses_bboxes: 0.4946, loss: 8.4270 2022-09-29 03:37:45,957 - mmdet - INFO - Epoch [2][6850/7390] lr: 1.000e-02, eta: 10:33:16, time: 0.508, data_time: 0.012, memory: 43003, loss_cls: 7.9340, losses_bboxes: 0.4909, loss: 8.4249 2022-09-29 03:38:11,347 - mmdet - INFO - Epoch [2][6900/7390] lr: 1.000e-02, eta: 10:32:50, time: 0.506, data_time: 0.008, memory: 43003, loss_cls: 7.9336, losses_bboxes: 0.4922, loss: 8.4258 2022-09-29 03:38:36,643 - mmdet - INFO - Epoch [2][6950/7390] lr: 1.000e-02, eta: 10:32:23, time: 0.507, data_time: 0.010, memory: 43003, loss_cls: 7.9370, losses_bboxes: 0.4913, loss: 8.4283 2022-09-29 03:39:02,200 - mmdet - INFO - Epoch [2][7000/7390] lr: 1.000e-02, eta: 10:31:58, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 7.9389, losses_bboxes: 0.4905, loss: 8.4294 2022-09-29 03:39:28,252 - mmdet - INFO - Epoch [2][7050/7390] lr: 1.000e-02, eta: 10:31:35, time: 0.520, data_time: 0.009, memory: 43003, loss_cls: 7.9373, losses_bboxes: 0.4933, loss: 8.4306 2022-09-29 03:39:53,782 - mmdet - INFO - Epoch [2][7100/7390] lr: 1.000e-02, eta: 10:31:10, time: 0.511, data_time: 0.010, memory: 43003, loss_cls: 7.9324, losses_bboxes: 0.4926, loss: 8.4250 2022-09-29 03:40:18,953 - mmdet - INFO - Epoch [2][7150/7390] lr: 1.000e-02, eta: 10:30:42, time: 0.502, data_time: 0.009, memory: 43003, loss_cls: 7.9278, losses_bboxes: 0.4917, loss: 8.4195 2022-09-29 03:40:44,591 - mmdet - INFO - Epoch [2][7200/7390] lr: 1.000e-02, eta: 10:30:17, time: 0.512, data_time: 0.010, memory: 43003, loss_cls: 7.9351, losses_bboxes: 0.4921, loss: 8.4271 2022-09-29 03:41:10,718 - mmdet - INFO - Epoch [2][7250/7390] lr: 1.000e-02, eta: 10:29:55, time: 0.524, data_time: 0.012, memory: 43003, loss_cls: 7.9394, losses_bboxes: 0.4924, loss: 8.4318 2022-09-29 03:41:35,991 - mmdet - INFO - Epoch [2][7300/7390] lr: 1.000e-02, eta: 10:29:28, time: 0.506, data_time: 0.010, memory: 43003, loss_cls: 7.9245, losses_bboxes: 0.4909, loss: 8.4154 2022-09-29 03:42:01,421 - mmdet - INFO - Epoch [2][7350/7390] lr: 1.000e-02, eta: 10:29:02, time: 0.509, data_time: 0.010, memory: 43003, loss_cls: 7.9427, losses_bboxes: 0.4922, loss: 8.4349 2022-09-29 03:42:22,266 - mmdet - INFO - Saving checkpoint at 2 epochs 2022-09-29 03:42:51,634 - mmdet - INFO - Epoch [3][50/7390] lr: 1.000e-02, eta: 10:26:48, time: 0.564, data_time: 0.071, memory: 43003, loss_cls: 7.9404, losses_bboxes: 0.4903, loss: 8.4307 2022-09-29 03:43:16,798 - mmdet - INFO - Epoch [3][100/7390] lr: 1.000e-02, eta: 10:26:21, time: 0.505, data_time: 0.011, memory: 43003, loss_cls: 7.9307, losses_bboxes: 0.4913, loss: 8.4220 2022-09-29 03:43:42,256 - mmdet - INFO - Epoch [3][150/7390] lr: 1.000e-02, eta: 10:25:56, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9360, losses_bboxes: 0.4925, loss: 8.4285 2022-09-29 03:44:07,826 - mmdet - INFO - Epoch [3][200/7390] lr: 1.000e-02, eta: 10:25:31, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 7.9293, losses_bboxes: 0.4921, loss: 8.4214 2022-09-29 03:44:33,083 - mmdet - INFO - Epoch [3][250/7390] lr: 1.000e-02, eta: 10:25:05, time: 0.506, data_time: 0.009, memory: 43003, loss_cls: 7.9361, losses_bboxes: 0.4913, loss: 8.4273 2022-09-29 03:44:58,464 - mmdet - INFO - Epoch [3][300/7390] lr: 1.000e-02, eta: 10:24:39, time: 0.507, data_time: 0.008, memory: 43003, loss_cls: 7.9302, losses_bboxes: 0.4913, loss: 8.4215 2022-09-29 03:45:23,665 - mmdet - INFO - Epoch [3][350/7390] lr: 1.000e-02, eta: 10:24:12, time: 0.503, data_time: 0.009, memory: 43003, loss_cls: 7.9346, losses_bboxes: 0.4892, loss: 8.4238 2022-09-29 03:45:49,409 - mmdet - INFO - Epoch [3][400/7390] lr: 1.000e-02, eta: 10:23:48, time: 0.515, data_time: 0.010, memory: 43003, loss_cls: 7.9249, losses_bboxes: 0.4914, loss: 8.4163 2022-09-29 03:46:15,352 - mmdet - INFO - Epoch [3][450/7390] lr: 1.000e-02, eta: 10:23:25, time: 0.519, data_time: 0.010, memory: 43003, loss_cls: 7.9302, losses_bboxes: 0.4906, loss: 8.4208 2022-09-29 03:46:41,062 - mmdet - INFO - Epoch [3][500/7390] lr: 1.000e-02, eta: 10:23:00, time: 0.514, data_time: 0.009, memory: 43003, loss_cls: 7.9328, losses_bboxes: 0.4930, loss: 8.4258 2022-09-29 03:47:06,711 - mmdet - INFO - Epoch [3][550/7390] lr: 1.000e-02, eta: 10:22:36, time: 0.513, data_time: 0.010, memory: 43003, loss_cls: 7.9183, losses_bboxes: 0.4906, loss: 8.4089 2022-09-29 03:47:31,836 - mmdet - INFO - Epoch [3][600/7390] lr: 1.000e-02, eta: 10:22:09, time: 0.503, data_time: 0.010, memory: 43003, loss_cls: 7.9346, losses_bboxes: 0.4912, loss: 8.4258 2022-09-29 03:47:57,252 - mmdet - INFO - Epoch [3][650/7390] lr: 1.000e-02, eta: 10:21:43, time: 0.509, data_time: 0.010, memory: 43003, loss_cls: 7.9210, losses_bboxes: 0.4896, loss: 8.4106 2022-09-29 03:48:22,668 - mmdet - INFO - Epoch [3][700/7390] lr: 1.000e-02, eta: 10:21:17, time: 0.507, data_time: 0.009, memory: 43003, loss_cls: 7.9383, losses_bboxes: 0.4892, loss: 8.4275 2022-09-29 03:48:47,939 - mmdet - INFO - Epoch [3][750/7390] lr: 1.000e-02, eta: 10:20:51, time: 0.504, data_time: 0.010, memory: 43003, loss_cls: 7.9239, losses_bboxes: 0.4920, loss: 8.4159 2022-09-29 03:49:13,297 - mmdet - INFO - Epoch [3][800/7390] lr: 1.000e-02, eta: 10:20:25, time: 0.510, data_time: 0.011, memory: 43003, loss_cls: 7.9334, losses_bboxes: 0.4903, loss: 8.4237 2022-09-29 03:49:38,395 - mmdet - INFO - Epoch [3][850/7390] lr: 1.000e-02, eta: 10:19:58, time: 0.501, data_time: 0.009, memory: 43003, loss_cls: 7.9360, losses_bboxes: 0.4910, loss: 8.4270 2022-09-29 03:50:03,857 - mmdet - INFO - Epoch [3][900/7390] lr: 1.000e-02, eta: 10:19:33, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9365, losses_bboxes: 0.4897, loss: 8.4262 2022-09-29 03:50:29,640 - mmdet - INFO - Epoch [3][950/7390] lr: 1.000e-02, eta: 10:19:09, time: 0.515, data_time: 0.009, memory: 43003, loss_cls: 7.9270, losses_bboxes: 0.4904, loss: 8.4174 2022-09-29 03:50:54,683 - mmdet - INFO - Epoch [3][1000/7390] lr: 1.000e-02, eta: 10:18:41, time: 0.501, data_time: 0.011, memory: 43003, loss_cls: 7.9187, losses_bboxes: 0.4906, loss: 8.4092 2022-09-29 03:51:20,466 - mmdet - INFO - Epoch [3][1050/7390] lr: 1.000e-02, eta: 10:18:17, time: 0.514, data_time: 0.011, memory: 43003, loss_cls: 7.9291, losses_bboxes: 0.4916, loss: 8.4207 2022-09-29 03:51:45,645 - mmdet - INFO - Epoch [3][1100/7390] lr: 1.000e-02, eta: 10:17:50, time: 0.505, data_time: 0.011, memory: 43003, loss_cls: 7.9358, losses_bboxes: 0.4912, loss: 8.4270 2022-09-29 03:52:11,384 - mmdet - INFO - Epoch [3][1150/7390] lr: 1.000e-02, eta: 10:17:26, time: 0.516, data_time: 0.010, memory: 43003, loss_cls: 7.9340, losses_bboxes: 0.4924, loss: 8.4264 2022-09-29 03:52:36,958 - mmdet - INFO - Epoch [3][1200/7390] lr: 1.000e-02, eta: 10:17:01, time: 0.511, data_time: 0.008, memory: 43003, loss_cls: 7.9259, losses_bboxes: 0.4912, loss: 8.4172 2022-09-29 03:53:02,360 - mmdet - INFO - Epoch [3][1250/7390] lr: 1.000e-02, eta: 10:16:36, time: 0.507, data_time: 0.010, memory: 43003, loss_cls: 7.9402, losses_bboxes: 0.4899, loss: 8.4300 2022-09-29 03:53:28,210 - mmdet - INFO - Epoch [3][1300/7390] lr: 1.000e-02, eta: 10:16:12, time: 0.517, data_time: 0.010, memory: 43003, loss_cls: 7.9355, losses_bboxes: 0.4902, loss: 8.4257 2022-09-29 03:53:53,426 - mmdet - INFO - Epoch [3][1350/7390] lr: 1.000e-02, eta: 10:15:45, time: 0.504, data_time: 0.010, memory: 43003, loss_cls: 7.9333, losses_bboxes: 0.4901, loss: 8.4233 2022-09-29 03:54:19,176 - mmdet - INFO - Epoch [3][1400/7390] lr: 1.000e-02, eta: 10:15:21, time: 0.514, data_time: 0.009, memory: 43003, loss_cls: 7.9372, losses_bboxes: 0.4893, loss: 8.4265 2022-09-29 03:54:44,366 - mmdet - INFO - Epoch [3][1450/7390] lr: 1.000e-02, eta: 10:14:54, time: 0.505, data_time: 0.010, memory: 43003, loss_cls: 7.9332, losses_bboxes: 0.4916, loss: 8.4248 2022-09-29 03:55:10,491 - mmdet - INFO - Epoch [3][1500/7390] lr: 1.000e-02, eta: 10:14:32, time: 0.523, data_time: 0.009, memory: 43003, loss_cls: 7.9234, losses_bboxes: 0.4905, loss: 8.4139 2022-09-29 03:55:35,713 - mmdet - INFO - Epoch [3][1550/7390] lr: 1.000e-02, eta: 10:14:06, time: 0.504, data_time: 0.009, memory: 43003, loss_cls: 7.9263, losses_bboxes: 0.4887, loss: 8.4150 2022-09-29 03:56:01,635 - mmdet - INFO - Epoch [3][1600/7390] lr: 1.000e-02, eta: 10:13:42, time: 0.519, data_time: 0.009, memory: 43003, loss_cls: 7.9330, losses_bboxes: 0.4915, loss: 8.4245 2022-09-29 03:56:27,497 - mmdet - INFO - Epoch [3][1650/7390] lr: 1.000e-02, eta: 10:13:18, time: 0.516, data_time: 0.009, memory: 43003, loss_cls: 7.9230, losses_bboxes: 0.4896, loss: 8.4126 2022-09-29 03:56:52,919 - mmdet - INFO - Epoch [3][1700/7390] lr: 1.000e-02, eta: 10:12:53, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9223, losses_bboxes: 0.4895, loss: 8.4118 2022-09-29 03:57:18,461 - mmdet - INFO - Epoch [3][1750/7390] lr: 1.000e-02, eta: 10:12:28, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 7.9221, losses_bboxes: 0.4895, loss: 8.4116 2022-09-29 03:57:43,621 - mmdet - INFO - Epoch [3][1800/7390] lr: 1.000e-02, eta: 10:12:00, time: 0.502, data_time: 0.009, memory: 43003, loss_cls: 7.9284, losses_bboxes: 0.4895, loss: 8.4179 2022-09-29 03:58:09,098 - mmdet - INFO - Epoch [3][1850/7390] lr: 1.000e-02, eta: 10:11:35, time: 0.511, data_time: 0.010, memory: 43003, loss_cls: 7.9272, losses_bboxes: 0.4884, loss: 8.4155 2022-09-29 03:58:34,454 - mmdet - INFO - Epoch [3][1900/7390] lr: 1.000e-02, eta: 10:11:09, time: 0.507, data_time: 0.009, memory: 43003, loss_cls: 7.9238, losses_bboxes: 0.4889, loss: 8.4127 2022-09-29 03:58:59,989 - mmdet - INFO - Epoch [3][1950/7390] lr: 1.000e-02, eta: 10:10:44, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9349, losses_bboxes: 0.4897, loss: 8.4246 2022-09-29 03:59:25,510 - mmdet - INFO - Epoch [3][2000/7390] lr: 1.000e-02, eta: 10:10:19, time: 0.511, data_time: 0.010, memory: 43003, loss_cls: 7.9264, losses_bboxes: 0.4907, loss: 8.4171 2022-09-29 03:59:50,808 - mmdet - INFO - Epoch [3][2050/7390] lr: 1.000e-02, eta: 10:09:53, time: 0.507, data_time: 0.009, memory: 43003, loss_cls: 7.9288, losses_bboxes: 0.4890, loss: 8.4178 2022-09-29 04:00:16,187 - mmdet - INFO - Epoch [3][2100/7390] lr: 1.000e-02, eta: 10:09:27, time: 0.507, data_time: 0.009, memory: 43003, loss_cls: 7.9270, losses_bboxes: 0.4879, loss: 8.4149 2022-09-29 04:00:41,716 - mmdet - INFO - Epoch [3][2150/7390] lr: 1.000e-02, eta: 10:09:01, time: 0.509, data_time: 0.009, memory: 43003, loss_cls: 7.9282, losses_bboxes: 0.4887, loss: 8.4169 2022-09-29 04:01:07,143 - mmdet - INFO - Epoch [3][2200/7390] lr: 1.000e-02, eta: 10:08:36, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9314, losses_bboxes: 0.4898, loss: 8.4212 2022-09-29 04:01:32,906 - mmdet - INFO - Epoch [3][2250/7390] lr: 1.000e-02, eta: 10:08:12, time: 0.514, data_time: 0.009, memory: 43003, loss_cls: 7.9354, losses_bboxes: 0.4879, loss: 8.4234 2022-09-29 04:01:58,636 - mmdet - INFO - Epoch [3][2300/7390] lr: 1.000e-02, eta: 10:07:47, time: 0.513, data_time: 0.010, memory: 43003, loss_cls: 7.9358, losses_bboxes: 0.4897, loss: 8.4254 2022-09-29 04:02:24,178 - mmdet - INFO - Epoch [3][2350/7390] lr: 1.000e-02, eta: 10:07:22, time: 0.513, data_time: 0.012, memory: 43003, loss_cls: 7.9293, losses_bboxes: 0.4896, loss: 8.4190 2022-09-29 04:02:49,432 - mmdet - INFO - Epoch [3][2400/7390] lr: 1.000e-02, eta: 10:06:56, time: 0.505, data_time: 0.010, memory: 43003, loss_cls: 7.9332, losses_bboxes: 0.4906, loss: 8.4237 2022-09-29 04:03:14,594 - mmdet - INFO - Epoch [3][2450/7390] lr: 1.000e-02, eta: 10:06:29, time: 0.500, data_time: 0.009, memory: 43003, loss_cls: 7.9241, losses_bboxes: 0.4878, loss: 8.4119 2022-09-29 04:03:40,421 - mmdet - INFO - Epoch [3][2500/7390] lr: 1.000e-02, eta: 10:06:05, time: 0.519, data_time: 0.012, memory: 43003, loss_cls: 7.9320, losses_bboxes: 0.4883, loss: 8.4203 2022-09-29 04:04:05,228 - mmdet - INFO - Epoch [3][2550/7390] lr: 1.000e-02, eta: 10:05:37, time: 0.498, data_time: 0.010, memory: 43003, loss_cls: 7.9302, losses_bboxes: 0.4887, loss: 8.4189 2022-09-29 04:04:31,146 - mmdet - INFO - Epoch [3][2600/7390] lr: 1.000e-02, eta: 10:05:14, time: 0.518, data_time: 0.009, memory: 43003, loss_cls: 7.9285, losses_bboxes: 0.4870, loss: 8.4155 2022-09-29 04:04:56,626 - mmdet - INFO - Epoch [3][2650/7390] lr: 1.000e-02, eta: 10:04:48, time: 0.508, data_time: 0.008, memory: 43003, loss_cls: 7.9216, losses_bboxes: 0.4896, loss: 8.4113 2022-09-29 04:05:22,467 - mmdet - INFO - Epoch [3][2700/7390] lr: 1.000e-02, eta: 10:04:24, time: 0.517, data_time: 0.010, memory: 43003, loss_cls: 7.9256, losses_bboxes: 0.4894, loss: 8.4150 2022-09-29 04:05:48,019 - mmdet - INFO - Epoch [3][2750/7390] lr: 1.000e-02, eta: 10:03:59, time: 0.512, data_time: 0.010, memory: 43003, loss_cls: 7.9261, losses_bboxes: 0.4883, loss: 8.4144 2022-09-29 04:06:13,310 - mmdet - INFO - Epoch [3][2800/7390] lr: 1.000e-02, eta: 10:03:33, time: 0.505, data_time: 0.010, memory: 43003, loss_cls: 7.9235, losses_bboxes: 0.4892, loss: 8.4128 2022-09-29 04:06:38,919 - mmdet - INFO - Epoch [3][2850/7390] lr: 1.000e-02, eta: 10:03:08, time: 0.514, data_time: 0.011, memory: 43003, loss_cls: 7.9397, losses_bboxes: 0.4881, loss: 8.4278 2022-09-29 04:07:04,630 - mmdet - INFO - Epoch [3][2900/7390] lr: 1.000e-02, eta: 10:02:44, time: 0.514, data_time: 0.009, memory: 43003, loss_cls: 7.9406, losses_bboxes: 0.4895, loss: 8.4302 2022-09-29 04:07:29,986 - mmdet - INFO - Epoch [3][2950/7390] lr: 1.000e-02, eta: 10:02:17, time: 0.505, data_time: 0.010, memory: 43003, loss_cls: 7.9205, losses_bboxes: 0.4891, loss: 8.4096 2022-09-29 04:07:55,935 - mmdet - INFO - Epoch [3][3000/7390] lr: 1.000e-02, eta: 10:01:54, time: 0.520, data_time: 0.011, memory: 43003, loss_cls: 7.9356, losses_bboxes: 0.4888, loss: 8.4244 2022-09-29 04:08:21,195 - mmdet - INFO - Epoch [3][3050/7390] lr: 1.000e-02, eta: 10:01:28, time: 0.507, data_time: 0.010, memory: 43003, loss_cls: 7.9234, losses_bboxes: 0.4889, loss: 8.4123 2022-09-29 04:08:46,511 - mmdet - INFO - Epoch [3][3100/7390] lr: 1.000e-02, eta: 10:01:02, time: 0.505, data_time: 0.008, memory: 43003, loss_cls: 7.9166, losses_bboxes: 0.4876, loss: 8.4042 2022-09-29 04:09:12,209 - mmdet - INFO - Epoch [3][3150/7390] lr: 1.000e-02, eta: 10:00:37, time: 0.515, data_time: 0.010, memory: 43003, loss_cls: 7.9330, losses_bboxes: 0.4902, loss: 8.4232 2022-09-29 04:09:37,702 - mmdet - INFO - Epoch [3][3200/7390] lr: 1.000e-02, eta: 10:00:11, time: 0.508, data_time: 0.009, memory: 43003, loss_cls: 7.9284, losses_bboxes: 0.4895, loss: 8.4180 2022-09-29 04:10:02,961 - mmdet - INFO - Epoch [3][3250/7390] lr: 1.000e-02, eta: 9:59:45, time: 0.506, data_time: 0.011, memory: 43003, loss_cls: 7.9289, losses_bboxes: 0.4891, loss: 8.4180 2022-09-29 04:10:28,240 - mmdet - INFO - Epoch [3][3300/7390] lr: 1.000e-02, eta: 9:59:19, time: 0.505, data_time: 0.010, memory: 43003, loss_cls: 7.9237, losses_bboxes: 0.4881, loss: 8.4117 2022-09-29 04:10:54,140 - mmdet - INFO - Epoch [3][3350/7390] lr: 1.000e-02, eta: 9:58:56, time: 0.520, data_time: 0.010, memory: 43003, loss_cls: 7.9266, losses_bboxes: 0.4884, loss: 8.4150 2022-09-29 04:11:19,377 - mmdet - INFO - Epoch [3][3400/7390] lr: 1.000e-02, eta: 9:58:29, time: 0.503, data_time: 0.009, memory: 43003, loss_cls: 7.9293, losses_bboxes: 0.4893, loss: 8.4186 2022-09-29 04:11:44,861 - mmdet - INFO - Epoch [3][3450/7390] lr: 1.000e-02, eta: 9:58:04, time: 0.510, data_time: 0.010, memory: 43003, loss_cls: 7.9259, losses_bboxes: 0.4891, loss: 8.4150 2022-09-29 04:12:10,275 - mmdet - INFO - Epoch [3][3500/7390] lr: 1.000e-02, eta: 9:57:38, time: 0.509, data_time: 0.009, memory: 43003, loss_cls: 7.9285, losses_bboxes: 0.4880, loss: 8.4165 2022-09-29 04:12:35,519 - mmdet - INFO - Epoch [3][3550/7390] lr: 1.000e-02, eta: 9:57:12, time: 0.504, data_time: 0.009, memory: 43003, loss_cls: 7.9191, losses_bboxes: 0.4882, loss: 8.4074 2022-09-29 04:13:01,029 - mmdet - INFO - Epoch [3][3600/7390] lr: 1.000e-02, eta: 9:56:47, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 7.9246, losses_bboxes: 0.4894, loss: 8.4140 2022-09-29 04:13:26,600 - mmdet - INFO - Epoch [3][3650/7390] lr: 1.000e-02, eta: 9:56:21, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 7.9232, losses_bboxes: 0.4868, loss: 8.4100 2022-09-29 04:13:51,835 - mmdet - INFO - Epoch [3][3700/7390] lr: 1.000e-02, eta: 9:55:55, time: 0.506, data_time: 0.010, memory: 43003, loss_cls: 7.9311, losses_bboxes: 0.4877, loss: 8.4188 2022-09-29 04:14:17,445 - mmdet - INFO - Epoch [3][3750/7390] lr: 1.000e-02, eta: 9:55:30, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 7.9362, losses_bboxes: 0.4897, loss: 8.4259 2022-09-29 04:14:43,009 - mmdet - INFO - Epoch [3][3800/7390] lr: 1.000e-02, eta: 9:55:05, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.9216, losses_bboxes: 0.4902, loss: 8.4118 2022-09-29 04:15:08,734 - mmdet - INFO - Epoch [3][3850/7390] lr: 1.000e-02, eta: 9:54:40, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.9225, losses_bboxes: 0.4869, loss: 8.4094 2022-09-29 04:15:34,476 - mmdet - INFO - Epoch [3][3900/7390] lr: 1.000e-02, eta: 9:54:16, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.9258, losses_bboxes: 0.4876, loss: 8.4134 2022-09-29 04:15:59,406 - mmdet - INFO - Epoch [3][3950/7390] lr: 1.000e-02, eta: 9:53:48, time: 0.500, data_time: 0.011, memory: 43091, loss_cls: 7.9224, losses_bboxes: 0.4883, loss: 8.4107 2022-09-29 04:16:24,881 - mmdet - INFO - Epoch [3][4000/7390] lr: 1.000e-02, eta: 9:53:23, time: 0.509, data_time: 0.010, memory: 43091, loss_cls: 7.9208, losses_bboxes: 0.4871, loss: 8.4080 2022-09-29 04:16:50,159 - mmdet - INFO - Epoch [3][4050/7390] lr: 1.000e-02, eta: 9:52:57, time: 0.506, data_time: 0.011, memory: 43091, loss_cls: 7.9223, losses_bboxes: 0.4887, loss: 8.4111 2022-09-29 04:17:15,672 - mmdet - INFO - Epoch [3][4100/7390] lr: 1.000e-02, eta: 9:52:31, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.9275, losses_bboxes: 0.4899, loss: 8.4174 2022-09-29 04:17:43,230 - mmdet - INFO - Epoch [3][4150/7390] lr: 1.000e-02, eta: 9:52:14, time: 0.552, data_time: 0.011, memory: 43091, loss_cls: 7.9209, losses_bboxes: 0.4863, loss: 8.4073 2022-09-29 04:18:08,989 - mmdet - INFO - Epoch [3][4200/7390] lr: 1.000e-02, eta: 9:51:49, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.9242, losses_bboxes: 0.4885, loss: 8.4127 2022-09-29 04:18:34,638 - mmdet - INFO - Epoch [3][4250/7390] lr: 1.000e-02, eta: 9:51:24, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.9218, losses_bboxes: 0.4886, loss: 8.4104 2022-09-29 04:19:00,226 - mmdet - INFO - Epoch [3][4300/7390] lr: 1.000e-02, eta: 9:50:59, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.9221, losses_bboxes: 0.4869, loss: 8.4090 2022-09-29 04:19:25,979 - mmdet - INFO - Epoch [3][4350/7390] lr: 1.000e-02, eta: 9:50:35, time: 0.516, data_time: 0.009, memory: 43091, loss_cls: 7.9235, losses_bboxes: 0.4866, loss: 8.4101 2022-09-29 04:19:51,428 - mmdet - INFO - Epoch [3][4400/7390] lr: 1.000e-02, eta: 9:50:09, time: 0.508, data_time: 0.009, memory: 43091, loss_cls: 7.9212, losses_bboxes: 0.4886, loss: 8.4098 2022-09-29 04:20:16,489 - mmdet - INFO - Epoch [3][4450/7390] lr: 1.000e-02, eta: 9:49:43, time: 0.503, data_time: 0.010, memory: 43091, loss_cls: 7.9184, losses_bboxes: 0.4886, loss: 8.4070 2022-09-29 04:20:41,940 - mmdet - INFO - Epoch [3][4500/7390] lr: 1.000e-02, eta: 9:49:17, time: 0.509, data_time: 0.009, memory: 43091, loss_cls: 7.9228, losses_bboxes: 0.4876, loss: 8.4103 2022-09-29 04:21:07,377 - mmdet - INFO - Epoch [3][4550/7390] lr: 1.000e-02, eta: 9:48:51, time: 0.507, data_time: 0.009, memory: 43091, loss_cls: 7.9168, losses_bboxes: 0.4889, loss: 8.4058 2022-09-29 04:21:32,903 - mmdet - INFO - Epoch [3][4600/7390] lr: 1.000e-02, eta: 9:48:26, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.9246, losses_bboxes: 0.4876, loss: 8.4123 2022-09-29 04:21:58,829 - mmdet - INFO - Epoch [3][4650/7390] lr: 1.000e-02, eta: 9:48:02, time: 0.518, data_time: 0.009, memory: 43091, loss_cls: 7.9188, losses_bboxes: 0.4869, loss: 8.4057 2022-09-29 04:22:24,048 - mmdet - INFO - Epoch [3][4700/7390] lr: 1.000e-02, eta: 9:47:36, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.9192, losses_bboxes: 0.4852, loss: 8.4044 2022-09-29 04:22:49,675 - mmdet - INFO - Epoch [3][4750/7390] lr: 1.000e-02, eta: 9:47:11, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.9174, losses_bboxes: 0.4873, loss: 8.4048 2022-09-29 04:23:15,001 - mmdet - INFO - Epoch [3][4800/7390] lr: 1.000e-02, eta: 9:46:45, time: 0.507, data_time: 0.010, memory: 43091, loss_cls: 7.9278, losses_bboxes: 0.4880, loss: 8.4158 2022-09-29 04:23:40,398 - mmdet - INFO - Epoch [3][4850/7390] lr: 1.000e-02, eta: 9:46:19, time: 0.507, data_time: 0.009, memory: 43091, loss_cls: 7.9183, losses_bboxes: 0.4878, loss: 8.4060 2022-09-29 04:24:06,087 - mmdet - INFO - Epoch [3][4900/7390] lr: 1.000e-02, eta: 9:45:54, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.9200, losses_bboxes: 0.4885, loss: 8.4084 2022-09-29 04:24:31,794 - mmdet - INFO - Epoch [3][4950/7390] lr: 1.000e-02, eta: 9:45:30, time: 0.515, data_time: 0.010, memory: 43091, loss_cls: 7.9255, losses_bboxes: 0.4870, loss: 8.4125 2022-09-29 04:24:57,278 - mmdet - INFO - Epoch [3][5000/7390] lr: 1.000e-02, eta: 9:45:04, time: 0.509, data_time: 0.009, memory: 43091, loss_cls: 7.9280, losses_bboxes: 0.4860, loss: 8.4140 2022-09-29 04:25:22,663 - mmdet - INFO - Epoch [3][5050/7390] lr: 1.000e-02, eta: 9:44:38, time: 0.506, data_time: 0.009, memory: 43091, loss_cls: 7.9182, losses_bboxes: 0.4878, loss: 8.4060 2022-09-29 04:25:48,276 - mmdet - INFO - Epoch [3][5100/7390] lr: 1.000e-02, eta: 9:44:13, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.9217, losses_bboxes: 0.4870, loss: 8.4088 2022-09-29 04:26:13,885 - mmdet - INFO - Epoch [3][5150/7390] lr: 1.000e-02, eta: 9:43:49, time: 0.515, data_time: 0.013, memory: 43091, loss_cls: 7.9149, losses_bboxes: 0.4873, loss: 8.4022 2022-09-29 04:26:39,675 - mmdet - INFO - Epoch [3][5200/7390] lr: 1.000e-02, eta: 9:43:24, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.9243, losses_bboxes: 0.4883, loss: 8.4125 2022-09-29 04:27:05,187 - mmdet - INFO - Epoch [3][5250/7390] lr: 1.000e-02, eta: 9:42:59, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.9287, losses_bboxes: 0.4861, loss: 8.4148 2022-09-29 04:27:30,733 - mmdet - INFO - Epoch [3][5300/7390] lr: 1.000e-02, eta: 9:42:33, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.9248, losses_bboxes: 0.4860, loss: 8.4109 2022-09-29 04:27:55,978 - mmdet - INFO - Epoch [3][5350/7390] lr: 1.000e-02, eta: 9:42:07, time: 0.505, data_time: 0.010, memory: 43091, loss_cls: 7.9153, losses_bboxes: 0.4857, loss: 8.4010 2022-09-29 04:28:21,468 - mmdet - INFO - Epoch [3][5400/7390] lr: 1.000e-02, eta: 9:41:42, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.9189, losses_bboxes: 0.4874, loss: 8.4063 2022-09-29 04:28:46,968 - mmdet - INFO - Epoch [3][5450/7390] lr: 1.000e-02, eta: 9:41:16, time: 0.509, data_time: 0.010, memory: 43091, loss_cls: 7.9148, losses_bboxes: 0.4860, loss: 8.4008 2022-09-29 04:29:12,494 - mmdet - INFO - Epoch [3][5500/7390] lr: 1.000e-02, eta: 9:40:51, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.9235, losses_bboxes: 0.4873, loss: 8.4109 2022-09-29 04:29:38,233 - mmdet - INFO - Epoch [3][5550/7390] lr: 1.000e-02, eta: 9:40:26, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.9248, losses_bboxes: 0.4867, loss: 8.4115 2022-09-29 04:30:03,957 - mmdet - INFO - Epoch [3][5600/7390] lr: 1.000e-02, eta: 9:40:02, time: 0.517, data_time: 0.011, memory: 43091, loss_cls: 7.9116, losses_bboxes: 0.4863, loss: 8.3979 2022-09-29 04:30:29,551 - mmdet - INFO - Epoch [3][5650/7390] lr: 1.000e-02, eta: 9:39:37, time: 0.511, data_time: 0.008, memory: 43091, loss_cls: 7.9208, losses_bboxes: 0.4883, loss: 8.4091 2022-09-29 04:30:55,155 - mmdet - INFO - Epoch [3][5700/7390] lr: 1.000e-02, eta: 9:39:12, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.9135, losses_bboxes: 0.4869, loss: 8.4003 2022-09-29 04:31:20,793 - mmdet - INFO - Epoch [3][5750/7390] lr: 1.000e-02, eta: 9:38:46, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.9215, losses_bboxes: 0.4861, loss: 8.4076 2022-09-29 04:31:46,166 - mmdet - INFO - Epoch [3][5800/7390] lr: 1.000e-02, eta: 9:38:21, time: 0.508, data_time: 0.011, memory: 43091, loss_cls: 7.9248, losses_bboxes: 0.4865, loss: 8.4112 2022-09-29 04:32:11,824 - mmdet - INFO - Epoch [3][5850/7390] lr: 1.000e-02, eta: 9:37:56, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.9238, losses_bboxes: 0.4874, loss: 8.4112 2022-09-29 04:32:37,431 - mmdet - INFO - Epoch [3][5900/7390] lr: 1.000e-02, eta: 9:37:31, time: 0.514, data_time: 0.012, memory: 43091, loss_cls: 7.9283, losses_bboxes: 0.4884, loss: 8.4167 2022-09-29 04:33:02,934 - mmdet - INFO - Epoch [3][5950/7390] lr: 1.000e-02, eta: 9:37:06, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.9149, losses_bboxes: 0.4874, loss: 8.4023 2022-09-29 04:33:28,339 - mmdet - INFO - Epoch [3][6000/7390] lr: 1.000e-02, eta: 9:36:40, time: 0.506, data_time: 0.009, memory: 43091, loss_cls: 7.9320, losses_bboxes: 0.4890, loss: 8.4211 2022-09-29 04:33:53,598 - mmdet - INFO - Epoch [3][6050/7390] lr: 1.000e-02, eta: 9:36:14, time: 0.506, data_time: 0.011, memory: 43091, loss_cls: 7.9094, losses_bboxes: 0.4875, loss: 8.3969 2022-09-29 04:34:19,164 - mmdet - INFO - Epoch [3][6100/7390] lr: 1.000e-02, eta: 9:35:48, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.9254, losses_bboxes: 0.4869, loss: 8.4122 2022-09-29 04:34:45,016 - mmdet - INFO - Epoch [3][6150/7390] lr: 1.000e-02, eta: 9:35:24, time: 0.518, data_time: 0.010, memory: 43091, loss_cls: 7.9176, losses_bboxes: 0.4867, loss: 8.4043 2022-09-29 04:35:09,953 - mmdet - INFO - Epoch [3][6200/7390] lr: 1.000e-02, eta: 9:34:57, time: 0.498, data_time: 0.010, memory: 43091, loss_cls: 7.9232, losses_bboxes: 0.4853, loss: 8.4085 2022-09-29 04:35:35,675 - mmdet - INFO - Epoch [3][6250/7390] lr: 1.000e-02, eta: 9:34:32, time: 0.515, data_time: 0.010, memory: 43091, loss_cls: 7.9128, losses_bboxes: 0.4857, loss: 8.3985 2022-09-29 04:36:00,947 - mmdet - INFO - Epoch [3][6300/7390] lr: 1.000e-02, eta: 9:34:06, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.9219, losses_bboxes: 0.4860, loss: 8.4079 2022-09-29 04:36:26,534 - mmdet - INFO - Epoch [3][6350/7390] lr: 1.000e-02, eta: 9:33:41, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.9180, losses_bboxes: 0.4882, loss: 8.4062 2022-09-29 04:36:51,765 - mmdet - INFO - Epoch [3][6400/7390] lr: 1.000e-02, eta: 9:33:14, time: 0.502, data_time: 0.010, memory: 43091, loss_cls: 7.9134, losses_bboxes: 0.4863, loss: 8.3997 2022-09-29 04:37:17,188 - mmdet - INFO - Epoch [3][6450/7390] lr: 1.000e-02, eta: 9:32:49, time: 0.511, data_time: 0.013, memory: 43091, loss_cls: 7.9133, losses_bboxes: 0.4860, loss: 8.3992 2022-09-29 04:37:42,711 - mmdet - INFO - Epoch [3][6500/7390] lr: 1.000e-02, eta: 9:32:24, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.9165, losses_bboxes: 0.4863, loss: 8.4028 2022-09-29 04:38:08,637 - mmdet - INFO - Epoch [3][6550/7390] lr: 1.000e-02, eta: 9:32:00, time: 0.518, data_time: 0.010, memory: 43091, loss_cls: 7.9126, losses_bboxes: 0.4883, loss: 8.4008 2022-09-29 04:38:34,119 - mmdet - INFO - Epoch [3][6600/7390] lr: 1.000e-02, eta: 9:31:34, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.9154, losses_bboxes: 0.4862, loss: 8.4016 2022-09-29 04:38:59,477 - mmdet - INFO - Epoch [3][6650/7390] lr: 1.000e-02, eta: 9:31:08, time: 0.506, data_time: 0.010, memory: 43091, loss_cls: 7.9107, losses_bboxes: 0.4844, loss: 8.3951 2022-09-29 04:39:25,284 - mmdet - INFO - Epoch [3][6700/7390] lr: 1.000e-02, eta: 9:30:44, time: 0.519, data_time: 0.011, memory: 43091, loss_cls: 7.9103, losses_bboxes: 0.4866, loss: 8.3969 2022-09-29 04:39:50,677 - mmdet - INFO - Epoch [3][6750/7390] lr: 1.000e-02, eta: 9:30:18, time: 0.507, data_time: 0.009, memory: 43091, loss_cls: 7.9114, losses_bboxes: 0.4860, loss: 8.3974 2022-09-29 04:40:16,230 - mmdet - INFO - Epoch [3][6800/7390] lr: 1.000e-02, eta: 9:29:53, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.9137, losses_bboxes: 0.4859, loss: 8.3997 2022-09-29 04:40:41,281 - mmdet - INFO - Epoch [3][6850/7390] lr: 1.000e-02, eta: 9:29:26, time: 0.501, data_time: 0.010, memory: 43091, loss_cls: 7.9203, losses_bboxes: 0.4859, loss: 8.4063 2022-09-29 04:41:06,898 - mmdet - INFO - Epoch [3][6900/7390] lr: 1.000e-02, eta: 9:29:01, time: 0.515, data_time: 0.012, memory: 43091, loss_cls: 7.9136, losses_bboxes: 0.4849, loss: 8.3984 2022-09-29 04:41:32,455 - mmdet - INFO - Epoch [3][6950/7390] lr: 1.000e-02, eta: 9:28:36, time: 0.510, data_time: 0.009, memory: 43091, loss_cls: 7.9140, losses_bboxes: 0.4841, loss: 8.3981 2022-09-29 04:41:58,297 - mmdet - INFO - Epoch [3][7000/7390] lr: 1.000e-02, eta: 9:28:11, time: 0.515, data_time: 0.010, memory: 43091, loss_cls: 7.9183, losses_bboxes: 0.4861, loss: 8.4043 2022-09-29 04:42:23,625 - mmdet - INFO - Epoch [3][7050/7390] lr: 1.000e-02, eta: 9:27:45, time: 0.508, data_time: 0.012, memory: 43091, loss_cls: 7.9154, losses_bboxes: 0.4846, loss: 8.3999 2022-09-29 04:42:49,606 - mmdet - INFO - Epoch [3][7100/7390] lr: 1.000e-02, eta: 9:27:22, time: 0.520, data_time: 0.010, memory: 43091, loss_cls: 7.9129, losses_bboxes: 0.4872, loss: 8.4000 2022-09-29 04:43:14,417 - mmdet - INFO - Epoch [3][7150/7390] lr: 1.000e-02, eta: 9:26:54, time: 0.497, data_time: 0.009, memory: 43091, loss_cls: 7.9154, losses_bboxes: 0.4859, loss: 8.4014 2022-09-29 04:43:40,044 - mmdet - INFO - Epoch [3][7200/7390] lr: 1.000e-02, eta: 9:26:29, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.9174, losses_bboxes: 0.4841, loss: 8.4016 2022-09-29 04:44:05,326 - mmdet - INFO - Epoch [3][7250/7390] lr: 1.000e-02, eta: 9:26:03, time: 0.506, data_time: 0.010, memory: 43091, loss_cls: 7.9163, losses_bboxes: 0.4842, loss: 8.4005 2022-09-29 04:44:30,627 - mmdet - INFO - Epoch [3][7300/7390] lr: 1.000e-02, eta: 9:25:37, time: 0.506, data_time: 0.009, memory: 43091, loss_cls: 7.9136, losses_bboxes: 0.4866, loss: 8.4002 2022-09-29 04:44:56,462 - mmdet - INFO - Epoch [3][7350/7390] lr: 1.000e-02, eta: 9:25:12, time: 0.516, data_time: 0.009, memory: 43091, loss_cls: 7.9167, losses_bboxes: 0.4874, loss: 8.4042 2022-09-29 04:45:17,132 - mmdet - INFO - Saving checkpoint at 3 epochs 2022-09-29 04:45:46,903 - mmdet - INFO - Epoch [4][50/7390] lr: 1.000e-02, eta: 9:23:35, time: 0.574, data_time: 0.071, memory: 43091, loss_cls: 7.9229, losses_bboxes: 0.4846, loss: 8.4074 2022-09-29 04:46:12,600 - mmdet - INFO - Epoch [4][100/7390] lr: 1.000e-02, eta: 9:23:10, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.9134, losses_bboxes: 0.4868, loss: 8.4002 2022-09-29 04:46:37,807 - mmdet - INFO - Epoch [4][150/7390] lr: 1.000e-02, eta: 9:22:44, time: 0.504, data_time: 0.011, memory: 43091, loss_cls: 7.9171, losses_bboxes: 0.4845, loss: 8.4017 2022-09-29 04:47:03,698 - mmdet - INFO - Epoch [4][200/7390] lr: 1.000e-02, eta: 9:22:20, time: 0.519, data_time: 0.011, memory: 43091, loss_cls: 7.9110, losses_bboxes: 0.4849, loss: 8.3958 2022-09-29 04:47:29,299 - mmdet - INFO - Epoch [4][250/7390] lr: 1.000e-02, eta: 9:21:55, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.9134, losses_bboxes: 0.4845, loss: 8.3979 2022-09-29 04:47:54,452 - mmdet - INFO - Epoch [4][300/7390] lr: 1.000e-02, eta: 9:21:29, time: 0.502, data_time: 0.010, memory: 43091, loss_cls: 7.9139, losses_bboxes: 0.4830, loss: 8.3969 2022-09-29 04:48:20,232 - mmdet - INFO - Epoch [4][350/7390] lr: 1.000e-02, eta: 9:21:05, time: 0.518, data_time: 0.011, memory: 43091, loss_cls: 7.9150, losses_bboxes: 0.4842, loss: 8.3991 2022-09-29 04:48:45,986 - mmdet - INFO - Epoch [4][400/7390] lr: 1.000e-02, eta: 9:20:40, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.9124, losses_bboxes: 0.4851, loss: 8.3975 2022-09-29 04:49:11,075 - mmdet - INFO - Epoch [4][450/7390] lr: 1.000e-02, eta: 9:20:14, time: 0.502, data_time: 0.010, memory: 43091, loss_cls: 7.9183, losses_bboxes: 0.4852, loss: 8.4036 2022-09-29 04:49:36,652 - mmdet - INFO - Epoch [4][500/7390] lr: 1.000e-02, eta: 9:19:49, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.9222, losses_bboxes: 0.4879, loss: 8.4101 2022-09-29 04:50:02,051 - mmdet - INFO - Epoch [4][550/7390] lr: 1.000e-02, eta: 9:19:23, time: 0.508, data_time: 0.010, memory: 43091, loss_cls: 7.9130, losses_bboxes: 0.4827, loss: 8.3957 2022-09-29 04:50:27,794 - mmdet - INFO - Epoch [4][600/7390] lr: 1.000e-02, eta: 9:18:58, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.9188, losses_bboxes: 0.4859, loss: 8.4047 2022-09-29 04:50:53,343 - mmdet - INFO - Epoch [4][650/7390] lr: 1.000e-02, eta: 9:18:33, time: 0.512, data_time: 0.011, memory: 43091, loss_cls: 7.9152, losses_bboxes: 0.4845, loss: 8.3997 2022-09-29 04:51:19,072 - mmdet - INFO - Epoch [4][700/7390] lr: 1.000e-02, eta: 9:18:09, time: 0.515, data_time: 0.010, memory: 43091, loss_cls: 7.9068, losses_bboxes: 0.4857, loss: 8.3925 2022-09-29 04:51:44,663 - mmdet - INFO - Epoch [4][750/7390] lr: 1.000e-02, eta: 9:17:44, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.9169, losses_bboxes: 0.4846, loss: 8.4014 2022-09-29 04:52:10,519 - mmdet - INFO - Epoch [4][800/7390] lr: 1.000e-02, eta: 9:17:19, time: 0.519, data_time: 0.010, memory: 43091, loss_cls: 7.9111, losses_bboxes: 0.4862, loss: 8.3973 2022-09-29 04:52:35,855 - mmdet - INFO - Epoch [4][850/7390] lr: 1.000e-02, eta: 9:16:54, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.9109, losses_bboxes: 0.4851, loss: 8.3960 2022-09-29 04:53:01,347 - mmdet - INFO - Epoch [4][900/7390] lr: 1.000e-02, eta: 9:16:28, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.9093, losses_bboxes: 0.4842, loss: 8.3936 2022-09-29 04:53:26,950 - mmdet - INFO - Epoch [4][950/7390] lr: 1.000e-02, eta: 9:16:03, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.9155, losses_bboxes: 0.4846, loss: 8.4001 2022-09-29 04:53:52,729 - mmdet - INFO - Epoch [4][1000/7390] lr: 1.000e-02, eta: 9:15:39, time: 0.516, data_time: 0.010, memory: 43091, loss_cls: 7.9223, losses_bboxes: 0.4859, loss: 8.4082 2022-09-29 04:54:18,341 - mmdet - INFO - Epoch [4][1050/7390] lr: 1.000e-02, eta: 9:15:14, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.9159, losses_bboxes: 0.4824, loss: 8.3983 2022-09-29 04:54:43,825 - mmdet - INFO - Epoch [4][1100/7390] lr: 1.000e-02, eta: 9:14:48, time: 0.509, data_time: 0.010, memory: 43091, loss_cls: 7.9070, losses_bboxes: 0.4840, loss: 8.3910 2022-09-29 04:55:09,430 - mmdet - INFO - Epoch [4][1150/7390] lr: 1.000e-02, eta: 9:14:24, time: 0.514, data_time: 0.011, memory: 43091, loss_cls: 7.9106, losses_bboxes: 0.4863, loss: 8.3969 2022-09-29 04:55:35,372 - mmdet - INFO - Epoch [4][1200/7390] lr: 1.000e-02, eta: 9:14:00, time: 0.519, data_time: 0.009, memory: 43091, loss_cls: 7.9152, losses_bboxes: 0.4842, loss: 8.3994 2022-09-29 04:56:00,877 - mmdet - INFO - Epoch [4][1250/7390] lr: 1.000e-02, eta: 9:13:34, time: 0.508, data_time: 0.008, memory: 43091, loss_cls: 7.9192, losses_bboxes: 0.4858, loss: 8.4051 2022-09-29 04:56:26,278 - mmdet - INFO - Epoch [4][1300/7390] lr: 1.000e-02, eta: 9:13:09, time: 0.509, data_time: 0.011, memory: 43091, loss_cls: 7.9115, losses_bboxes: 0.4852, loss: 8.3968 2022-09-29 04:56:51,412 - mmdet - INFO - Epoch [4][1350/7390] lr: 1.000e-02, eta: 9:12:42, time: 0.503, data_time: 0.009, memory: 43091, loss_cls: 7.9086, losses_bboxes: 0.4841, loss: 8.3927 2022-09-29 04:57:16,593 - mmdet - INFO - Epoch [4][1400/7390] lr: 1.000e-02, eta: 9:12:16, time: 0.504, data_time: 0.009, memory: 43091, loss_cls: 7.9190, losses_bboxes: 0.4851, loss: 8.4040 2022-09-29 04:57:41,563 - mmdet - INFO - Epoch [4][1450/7390] lr: 1.000e-02, eta: 9:11:49, time: 0.499, data_time: 0.009, memory: 43091, loss_cls: 7.9129, losses_bboxes: 0.4855, loss: 8.3983 2022-09-29 04:58:07,145 - mmdet - INFO - Epoch [4][1500/7390] lr: 1.000e-02, eta: 9:11:24, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.9020, losses_bboxes: 0.4848, loss: 8.3868 2022-09-29 04:58:32,493 - mmdet - INFO - Epoch [4][1550/7390] lr: 1.000e-02, eta: 9:10:59, time: 0.508, data_time: 0.010, memory: 43091, loss_cls: 7.9111, losses_bboxes: 0.4827, loss: 8.3938 2022-09-29 04:58:57,498 - mmdet - INFO - Epoch [4][1600/7390] lr: 1.000e-02, eta: 9:10:32, time: 0.501, data_time: 0.009, memory: 43091, loss_cls: 7.9127, losses_bboxes: 0.4843, loss: 8.3969 2022-09-29 04:59:22,765 - mmdet - INFO - Epoch [4][1650/7390] lr: 1.000e-02, eta: 9:10:06, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.9236, losses_bboxes: 0.4840, loss: 8.4076 2022-09-29 04:59:48,315 - mmdet - INFO - Epoch [4][1700/7390] lr: 1.000e-02, eta: 9:09:41, time: 0.510, data_time: 0.009, memory: 43091, loss_cls: 7.9028, losses_bboxes: 0.4846, loss: 8.3874 2022-09-29 05:00:13,935 - mmdet - INFO - Epoch [4][1750/7390] lr: 1.000e-02, eta: 9:09:16, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.9144, losses_bboxes: 0.4842, loss: 8.3986 2022-09-29 05:00:39,860 - mmdet - INFO - Epoch [4][1800/7390] lr: 1.000e-02, eta: 9:08:52, time: 0.519, data_time: 0.009, memory: 43091, loss_cls: 7.9168, losses_bboxes: 0.4842, loss: 8.4010 2022-09-29 05:01:05,498 - mmdet - INFO - Epoch [4][1850/7390] lr: 1.000e-02, eta: 9:08:27, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.9104, losses_bboxes: 0.4852, loss: 8.3956 2022-09-29 05:01:31,262 - mmdet - INFO - Epoch [4][1900/7390] lr: 1.000e-02, eta: 9:08:02, time: 0.517, data_time: 0.011, memory: 43091, loss_cls: 7.9100, losses_bboxes: 0.4858, loss: 8.3959 2022-09-29 05:01:57,291 - mmdet - INFO - Epoch [4][1950/7390] lr: 1.000e-02, eta: 9:07:38, time: 0.519, data_time: 0.008, memory: 43091, loss_cls: 7.9127, losses_bboxes: 0.4846, loss: 8.3974 2022-09-29 05:02:23,209 - mmdet - INFO - Epoch [4][2000/7390] lr: 1.000e-02, eta: 9:07:14, time: 0.519, data_time: 0.010, memory: 43091, loss_cls: 7.9129, losses_bboxes: 0.4841, loss: 8.3970 2022-09-29 05:02:48,376 - mmdet - INFO - Epoch [4][2050/7390] lr: 1.000e-02, eta: 9:06:48, time: 0.504, data_time: 0.010, memory: 43091, loss_cls: 7.9134, losses_bboxes: 0.4831, loss: 8.3965 2022-09-29 05:03:14,087 - mmdet - INFO - Epoch [4][2100/7390] lr: 1.000e-02, eta: 9:06:23, time: 0.513, data_time: 0.009, memory: 43091, loss_cls: 7.9146, losses_bboxes: 0.4862, loss: 8.4008 2022-09-29 05:03:39,749 - mmdet - INFO - Epoch [4][2150/7390] lr: 1.000e-02, eta: 9:05:58, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.9081, losses_bboxes: 0.4829, loss: 8.3909 2022-09-29 05:04:04,857 - mmdet - INFO - Epoch [4][2200/7390] lr: 1.000e-02, eta: 9:05:32, time: 0.503, data_time: 0.009, memory: 43091, loss_cls: 7.9091, losses_bboxes: 0.4827, loss: 8.3918 2022-09-29 05:04:30,142 - mmdet - INFO - Epoch [4][2250/7390] lr: 1.000e-02, eta: 9:05:06, time: 0.504, data_time: 0.009, memory: 43091, loss_cls: 7.9139, losses_bboxes: 0.4839, loss: 8.3977 2022-09-29 05:04:55,741 - mmdet - INFO - Epoch [4][2300/7390] lr: 1.000e-02, eta: 9:04:41, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.9088, losses_bboxes: 0.4846, loss: 8.3934 2022-09-29 05:05:20,940 - mmdet - INFO - Epoch [4][2350/7390] lr: 1.000e-02, eta: 9:04:15, time: 0.504, data_time: 0.009, memory: 43091, loss_cls: 7.9161, losses_bboxes: 0.4836, loss: 8.3997 2022-09-29 05:05:46,629 - mmdet - INFO - Epoch [4][2400/7390] lr: 1.000e-02, eta: 9:03:50, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.9117, losses_bboxes: 0.4840, loss: 8.3958 2022-09-29 05:06:12,290 - mmdet - INFO - Epoch [4][2450/7390] lr: 1.000e-02, eta: 9:03:25, time: 0.513, data_time: 0.009, memory: 43091, loss_cls: 7.9142, losses_bboxes: 0.4844, loss: 8.3986 2022-09-29 05:06:38,020 - mmdet - INFO - Epoch [4][2500/7390] lr: 1.000e-02, eta: 9:03:00, time: 0.513, data_time: 0.009, memory: 43091, loss_cls: 7.9057, losses_bboxes: 0.4851, loss: 8.3908 2022-09-29 05:07:03,235 - mmdet - INFO - Epoch [4][2550/7390] lr: 1.000e-02, eta: 9:02:34, time: 0.506, data_time: 0.011, memory: 43091, loss_cls: 7.9077, losses_bboxes: 0.4818, loss: 8.3895 2022-09-29 05:07:28,797 - mmdet - INFO - Epoch [4][2600/7390] lr: 1.000e-02, eta: 9:02:09, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.8978, losses_bboxes: 0.4846, loss: 8.3824 2022-09-29 05:07:54,680 - mmdet - INFO - Epoch [4][2650/7390] lr: 1.000e-02, eta: 9:01:45, time: 0.518, data_time: 0.010, memory: 43091, loss_cls: 7.9109, losses_bboxes: 0.4836, loss: 8.3945 2022-09-29 05:08:20,614 - mmdet - INFO - Epoch [4][2700/7390] lr: 1.000e-02, eta: 9:01:21, time: 0.518, data_time: 0.009, memory: 43091, loss_cls: 7.9138, losses_bboxes: 0.4847, loss: 8.3985 2022-09-29 05:08:45,979 - mmdet - INFO - Epoch [4][2750/7390] lr: 1.000e-02, eta: 9:00:55, time: 0.506, data_time: 0.010, memory: 43091, loss_cls: 7.9179, losses_bboxes: 0.4814, loss: 8.3993 2022-09-29 05:09:11,496 - mmdet - INFO - Epoch [4][2800/7390] lr: 1.000e-02, eta: 9:00:29, time: 0.509, data_time: 0.010, memory: 43091, loss_cls: 7.9007, losses_bboxes: 0.4831, loss: 8.3838 2022-09-29 05:09:36,695 - mmdet - INFO - Epoch [4][2850/7390] lr: 1.000e-02, eta: 9:00:03, time: 0.504, data_time: 0.011, memory: 43091, loss_cls: 7.9011, losses_bboxes: 0.4825, loss: 8.3836 2022-09-29 05:10:02,324 - mmdet - INFO - Epoch [4][2900/7390] lr: 1.000e-02, eta: 8:59:38, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.9095, losses_bboxes: 0.4833, loss: 8.3928 2022-09-29 05:10:28,111 - mmdet - INFO - Epoch [4][2950/7390] lr: 1.000e-02, eta: 8:59:14, time: 0.516, data_time: 0.011, memory: 43091, loss_cls: 7.9238, losses_bboxes: 0.4842, loss: 8.4080 2022-09-29 05:10:53,902 - mmdet - INFO - Epoch [4][3000/7390] lr: 1.000e-02, eta: 8:58:49, time: 0.516, data_time: 0.011, memory: 43091, loss_cls: 7.9181, losses_bboxes: 0.4825, loss: 8.4006 2022-09-29 05:11:19,475 - mmdet - INFO - Epoch [4][3050/7390] lr: 1.000e-02, eta: 8:58:24, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.9150, losses_bboxes: 0.4849, loss: 8.3999 2022-09-29 05:11:44,893 - mmdet - INFO - Epoch [4][3100/7390] lr: 1.000e-02, eta: 8:57:59, time: 0.509, data_time: 0.009, memory: 43091, loss_cls: 7.9079, losses_bboxes: 0.4839, loss: 8.3918 2022-09-29 05:12:10,476 - mmdet - INFO - Epoch [4][3150/7390] lr: 1.000e-02, eta: 8:57:33, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.9104, losses_bboxes: 0.4831, loss: 8.3935 2022-09-29 05:12:36,022 - mmdet - INFO - Epoch [4][3200/7390] lr: 1.000e-02, eta: 8:57:08, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.9046, losses_bboxes: 0.4830, loss: 8.3876 2022-09-29 05:13:01,774 - mmdet - INFO - Epoch [4][3250/7390] lr: 1.000e-02, eta: 8:56:44, time: 0.515, data_time: 0.010, memory: 43091, loss_cls: 7.9136, losses_bboxes: 0.4834, loss: 8.3971 2022-09-29 05:13:27,647 - mmdet - INFO - Epoch [4][3300/7390] lr: 1.000e-02, eta: 8:56:19, time: 0.519, data_time: 0.010, memory: 43091, loss_cls: 7.9064, losses_bboxes: 0.4847, loss: 8.3912 2022-09-29 05:13:53,523 - mmdet - INFO - Epoch [4][3350/7390] lr: 1.000e-02, eta: 8:55:55, time: 0.516, data_time: 0.010, memory: 43091, loss_cls: 7.8963, losses_bboxes: 0.4831, loss: 8.3794 2022-09-29 05:14:18,751 - mmdet - INFO - Epoch [4][3400/7390] lr: 1.000e-02, eta: 8:55:29, time: 0.506, data_time: 0.011, memory: 43091, loss_cls: 7.9126, losses_bboxes: 0.4849, loss: 8.3975 2022-09-29 05:14:43,802 - mmdet - INFO - Epoch [4][3450/7390] lr: 1.000e-02, eta: 8:55:02, time: 0.501, data_time: 0.009, memory: 43091, loss_cls: 7.9106, losses_bboxes: 0.4818, loss: 8.3924 2022-09-29 05:15:09,103 - mmdet - INFO - Epoch [4][3500/7390] lr: 1.000e-02, eta: 8:54:36, time: 0.504, data_time: 0.009, memory: 43091, loss_cls: 7.9183, losses_bboxes: 0.4822, loss: 8.4005 2022-09-29 05:15:34,770 - mmdet - INFO - Epoch [4][3550/7390] lr: 1.000e-02, eta: 8:54:11, time: 0.514, data_time: 0.012, memory: 43091, loss_cls: 7.9178, losses_bboxes: 0.4834, loss: 8.4012 2022-09-29 05:16:00,665 - mmdet - INFO - Epoch [4][3600/7390] lr: 1.000e-02, eta: 8:53:47, time: 0.519, data_time: 0.012, memory: 43091, loss_cls: 7.9068, losses_bboxes: 0.4842, loss: 8.3910 2022-09-29 05:16:26,201 - mmdet - INFO - Epoch [4][3650/7390] lr: 1.000e-02, eta: 8:53:22, time: 0.512, data_time: 0.011, memory: 43091, loss_cls: 7.9073, losses_bboxes: 0.4833, loss: 8.3906 2022-09-29 05:16:51,908 - mmdet - INFO - Epoch [4][3700/7390] lr: 1.000e-02, eta: 8:52:57, time: 0.513, data_time: 0.008, memory: 43091, loss_cls: 7.9079, losses_bboxes: 0.4831, loss: 8.3909 2022-09-29 05:17:16,966 - mmdet - INFO - Epoch [4][3750/7390] lr: 1.000e-02, eta: 8:52:31, time: 0.502, data_time: 0.010, memory: 43091, loss_cls: 7.9040, losses_bboxes: 0.4837, loss: 8.3878 2022-09-29 05:17:42,107 - mmdet - INFO - Epoch [4][3800/7390] lr: 1.000e-02, eta: 8:52:04, time: 0.503, data_time: 0.009, memory: 43091, loss_cls: 7.9152, losses_bboxes: 0.4815, loss: 8.3967 2022-09-29 05:18:07,105 - mmdet - INFO - Epoch [4][3850/7390] lr: 1.000e-02, eta: 8:51:38, time: 0.500, data_time: 0.009, memory: 43091, loss_cls: 7.9032, losses_bboxes: 0.4820, loss: 8.3853 2022-09-29 05:18:32,895 - mmdet - INFO - Epoch [4][3900/7390] lr: 1.000e-02, eta: 8:51:13, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.9001, losses_bboxes: 0.4841, loss: 8.3842 2022-09-29 05:18:57,991 - mmdet - INFO - Epoch [4][3950/7390] lr: 1.000e-02, eta: 8:50:47, time: 0.503, data_time: 0.012, memory: 43091, loss_cls: 7.9027, losses_bboxes: 0.4828, loss: 8.3855 2022-09-29 05:19:23,661 - mmdet - INFO - Epoch [4][4000/7390] lr: 1.000e-02, eta: 8:50:22, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.9059, losses_bboxes: 0.4827, loss: 8.3885 2022-09-29 05:19:49,620 - mmdet - INFO - Epoch [4][4050/7390] lr: 1.000e-02, eta: 8:49:58, time: 0.521, data_time: 0.011, memory: 43091, loss_cls: 7.9054, losses_bboxes: 0.4815, loss: 8.3869 2022-09-29 05:20:15,274 - mmdet - INFO - Epoch [4][4100/7390] lr: 1.000e-02, eta: 8:49:33, time: 0.512, data_time: 0.011, memory: 43091, loss_cls: 7.9033, losses_bboxes: 0.4847, loss: 8.3880 2022-09-29 05:20:40,551 - mmdet - INFO - Epoch [4][4150/7390] lr: 1.000e-02, eta: 8:49:07, time: 0.507, data_time: 0.010, memory: 43091, loss_cls: 7.9054, losses_bboxes: 0.4830, loss: 8.3884 2022-09-29 05:21:05,883 - mmdet - INFO - Epoch [4][4200/7390] lr: 1.000e-02, eta: 8:48:41, time: 0.506, data_time: 0.009, memory: 43091, loss_cls: 7.9111, losses_bboxes: 0.4829, loss: 8.3940 2022-09-29 05:21:31,364 - mmdet - INFO - Epoch [4][4250/7390] lr: 1.000e-02, eta: 8:48:16, time: 0.508, data_time: 0.009, memory: 43091, loss_cls: 7.9122, losses_bboxes: 0.4829, loss: 8.3951 2022-09-29 05:21:56,570 - mmdet - INFO - Epoch [4][4300/7390] lr: 1.000e-02, eta: 8:47:50, time: 0.505, data_time: 0.010, memory: 43091, loss_cls: 7.9067, losses_bboxes: 0.4833, loss: 8.3900 2022-09-29 05:22:21,927 - mmdet - INFO - Epoch [4][4350/7390] lr: 1.000e-02, eta: 8:47:24, time: 0.506, data_time: 0.010, memory: 43091, loss_cls: 7.9096, losses_bboxes: 0.4817, loss: 8.3913 2022-09-29 05:22:47,335 - mmdet - INFO - Epoch [4][4400/7390] lr: 1.000e-02, eta: 8:46:58, time: 0.509, data_time: 0.011, memory: 43091, loss_cls: 7.8994, losses_bboxes: 0.4805, loss: 8.3799 2022-09-29 05:23:12,519 - mmdet - INFO - Epoch [4][4450/7390] lr: 1.000e-02, eta: 8:46:32, time: 0.504, data_time: 0.010, memory: 43091, loss_cls: 7.9037, losses_bboxes: 0.4814, loss: 8.3850 2022-09-29 05:23:38,241 - mmdet - INFO - Epoch [4][4500/7390] lr: 1.000e-02, eta: 8:46:07, time: 0.515, data_time: 0.010, memory: 43091, loss_cls: 7.9044, losses_bboxes: 0.4832, loss: 8.3877 2022-09-29 05:24:03,307 - mmdet - INFO - Epoch [4][4550/7390] lr: 1.000e-02, eta: 8:45:41, time: 0.500, data_time: 0.010, memory: 43091, loss_cls: 7.9045, losses_bboxes: 0.4820, loss: 8.3866 2022-09-29 05:24:28,854 - mmdet - INFO - Epoch [4][4600/7390] lr: 1.000e-02, eta: 8:45:16, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.9083, losses_bboxes: 0.4828, loss: 8.3912 2022-09-29 05:24:54,537 - mmdet - INFO - Epoch [4][4650/7390] lr: 1.000e-02, eta: 8:44:51, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.9014, losses_bboxes: 0.4814, loss: 8.3828 2022-09-29 05:25:20,563 - mmdet - INFO - Epoch [4][4700/7390] lr: 1.000e-02, eta: 8:44:27, time: 0.520, data_time: 0.009, memory: 43091, loss_cls: 7.9020, losses_bboxes: 0.4836, loss: 8.3856 2022-09-29 05:25:46,713 - mmdet - INFO - Epoch [4][4750/7390] lr: 1.000e-02, eta: 8:44:03, time: 0.523, data_time: 0.010, memory: 43091, loss_cls: 7.9002, losses_bboxes: 0.4847, loss: 8.3850 2022-09-29 05:26:12,216 - mmdet - INFO - Epoch [4][4800/7390] lr: 1.000e-02, eta: 8:43:38, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.8966, losses_bboxes: 0.4819, loss: 8.3784 2022-09-29 05:26:37,589 - mmdet - INFO - Epoch [4][4850/7390] lr: 1.000e-02, eta: 8:43:12, time: 0.506, data_time: 0.008, memory: 43091, loss_cls: 7.9102, losses_bboxes: 0.4818, loss: 8.3919 2022-09-29 05:27:03,289 - mmdet - INFO - Epoch [4][4900/7390] lr: 1.000e-02, eta: 8:42:47, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.9071, losses_bboxes: 0.4823, loss: 8.3895 2022-09-29 05:27:28,997 - mmdet - INFO - Epoch [4][4950/7390] lr: 1.000e-02, eta: 8:42:22, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.9044, losses_bboxes: 0.4841, loss: 8.3885 2022-09-29 05:27:54,594 - mmdet - INFO - Epoch [4][5000/7390] lr: 1.000e-02, eta: 8:41:57, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.9175, losses_bboxes: 0.4817, loss: 8.3992 2022-09-29 05:28:19,900 - mmdet - INFO - Epoch [4][5050/7390] lr: 1.000e-02, eta: 8:41:31, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.9018, losses_bboxes: 0.4825, loss: 8.3843 2022-09-29 05:28:45,240 - mmdet - INFO - Epoch [4][5100/7390] lr: 1.000e-02, eta: 8:41:05, time: 0.507, data_time: 0.010, memory: 43091, loss_cls: 7.9010, losses_bboxes: 0.4820, loss: 8.3830 2022-09-29 05:29:10,177 - mmdet - INFO - Epoch [4][5150/7390] lr: 1.000e-02, eta: 8:40:39, time: 0.498, data_time: 0.010, memory: 43091, loss_cls: 7.9149, losses_bboxes: 0.4826, loss: 8.3975 2022-09-29 05:29:35,990 - mmdet - INFO - Epoch [4][5200/7390] lr: 1.000e-02, eta: 8:40:14, time: 0.519, data_time: 0.012, memory: 43091, loss_cls: 7.9138, losses_bboxes: 0.4827, loss: 8.3965 2022-09-29 05:30:01,386 - mmdet - INFO - Epoch [4][5250/7390] lr: 1.000e-02, eta: 8:39:49, time: 0.507, data_time: 0.009, memory: 43091, loss_cls: 7.9092, losses_bboxes: 0.4830, loss: 8.3922 2022-09-29 05:30:26,815 - mmdet - INFO - Epoch [4][5300/7390] lr: 1.000e-02, eta: 8:39:23, time: 0.509, data_time: 0.010, memory: 43091, loss_cls: 7.8988, losses_bboxes: 0.4815, loss: 8.3803 2022-09-29 05:30:52,444 - mmdet - INFO - Epoch [4][5350/7390] lr: 1.000e-02, eta: 8:38:58, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.9046, losses_bboxes: 0.4815, loss: 8.3861 2022-09-29 05:31:18,079 - mmdet - INFO - Epoch [4][5400/7390] lr: 1.000e-02, eta: 8:38:33, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.9077, losses_bboxes: 0.4821, loss: 8.3898 2022-09-29 05:31:43,525 - mmdet - INFO - Epoch [4][5450/7390] lr: 1.000e-02, eta: 8:38:07, time: 0.507, data_time: 0.009, memory: 43091, loss_cls: 7.9052, losses_bboxes: 0.4826, loss: 8.3878 2022-09-29 05:32:09,015 - mmdet - INFO - Epoch [4][5500/7390] lr: 1.000e-02, eta: 8:37:42, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.9050, losses_bboxes: 0.4826, loss: 8.3876 2022-09-29 05:32:34,826 - mmdet - INFO - Epoch [4][5550/7390] lr: 1.000e-02, eta: 8:37:17, time: 0.516, data_time: 0.010, memory: 43091, loss_cls: 7.8998, losses_bboxes: 0.4819, loss: 8.3818 2022-09-29 05:33:00,406 - mmdet - INFO - Epoch [4][5600/7390] lr: 1.000e-02, eta: 8:36:52, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.8975, losses_bboxes: 0.4807, loss: 8.3781 2022-09-29 05:33:25,458 - mmdet - INFO - Epoch [4][5650/7390] lr: 1.000e-02, eta: 8:36:26, time: 0.501, data_time: 0.009, memory: 43091, loss_cls: 7.8936, losses_bboxes: 0.4807, loss: 8.3743 2022-09-29 05:33:50,994 - mmdet - INFO - Epoch [4][5700/7390] lr: 1.000e-02, eta: 8:36:01, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.8963, losses_bboxes: 0.4828, loss: 8.3791 2022-09-29 05:34:17,059 - mmdet - INFO - Epoch [4][5750/7390] lr: 1.000e-02, eta: 8:35:36, time: 0.521, data_time: 0.010, memory: 43091, loss_cls: 7.8946, losses_bboxes: 0.4820, loss: 8.3765 2022-09-29 05:34:42,330 - mmdet - INFO - Epoch [4][5800/7390] lr: 1.000e-02, eta: 8:35:11, time: 0.507, data_time: 0.011, memory: 43091, loss_cls: 7.9001, losses_bboxes: 0.4808, loss: 8.3810 2022-09-29 05:35:07,618 - mmdet - INFO - Epoch [4][5850/7390] lr: 1.000e-02, eta: 8:34:45, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.8992, losses_bboxes: 0.4811, loss: 8.3803 2022-09-29 05:35:33,095 - mmdet - INFO - Epoch [4][5900/7390] lr: 1.000e-02, eta: 8:34:19, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.9003, losses_bboxes: 0.4824, loss: 8.3827 2022-09-29 05:35:58,882 - mmdet - INFO - Epoch [4][5950/7390] lr: 1.000e-02, eta: 8:33:55, time: 0.516, data_time: 0.010, memory: 43091, loss_cls: 7.9135, losses_bboxes: 0.4821, loss: 8.3956 2022-09-29 05:36:24,085 - mmdet - INFO - Epoch [4][6000/7390] lr: 1.000e-02, eta: 8:33:29, time: 0.505, data_time: 0.010, memory: 43091, loss_cls: 7.9078, losses_bboxes: 0.4805, loss: 8.3883 2022-09-29 05:36:49,328 - mmdet - INFO - Epoch [4][6050/7390] lr: 1.000e-02, eta: 8:33:03, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.9037, losses_bboxes: 0.4812, loss: 8.3848 2022-09-29 05:37:14,764 - mmdet - INFO - Epoch [4][6100/7390] lr: 1.000e-02, eta: 8:32:37, time: 0.508, data_time: 0.009, memory: 43091, loss_cls: 7.9116, losses_bboxes: 0.4829, loss: 8.3945 2022-09-29 05:37:40,755 - mmdet - INFO - Epoch [4][6150/7390] lr: 1.000e-02, eta: 8:32:13, time: 0.521, data_time: 0.010, memory: 43091, loss_cls: 7.8956, losses_bboxes: 0.4822, loss: 8.3777 2022-09-29 05:38:05,905 - mmdet - INFO - Epoch [4][6200/7390] lr: 1.000e-02, eta: 8:31:47, time: 0.502, data_time: 0.009, memory: 43091, loss_cls: 7.9076, losses_bboxes: 0.4797, loss: 8.3872 2022-09-29 05:38:31,550 - mmdet - INFO - Epoch [4][6250/7390] lr: 1.000e-02, eta: 8:31:22, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.8947, losses_bboxes: 0.4809, loss: 8.3756 2022-09-29 05:38:56,939 - mmdet - INFO - Epoch [4][6300/7390] lr: 1.000e-02, eta: 8:30:56, time: 0.508, data_time: 0.010, memory: 43091, loss_cls: 7.9084, losses_bboxes: 0.4823, loss: 8.3907 2022-09-29 05:39:22,495 - mmdet - INFO - Epoch [4][6350/7390] lr: 1.000e-02, eta: 8:30:31, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.9001, losses_bboxes: 0.4829, loss: 8.3830 2022-09-29 05:39:48,118 - mmdet - INFO - Epoch [4][6400/7390] lr: 1.000e-02, eta: 8:30:06, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8984, losses_bboxes: 0.4811, loss: 8.3794 2022-09-29 05:40:13,692 - mmdet - INFO - Epoch [4][6450/7390] lr: 1.000e-02, eta: 8:29:41, time: 0.511, data_time: 0.008, memory: 43091, loss_cls: 7.8997, losses_bboxes: 0.4828, loss: 8.3825 2022-09-29 05:40:39,224 - mmdet - INFO - Epoch [4][6500/7390] lr: 1.000e-02, eta: 8:29:15, time: 0.508, data_time: 0.008, memory: 43091, loss_cls: 7.9044, losses_bboxes: 0.4832, loss: 8.3876 2022-09-29 05:41:04,938 - mmdet - INFO - Epoch [4][6550/7390] lr: 1.000e-02, eta: 8:28:50, time: 0.517, data_time: 0.011, memory: 43091, loss_cls: 7.9044, losses_bboxes: 0.4812, loss: 8.3856 2022-09-29 05:41:30,668 - mmdet - INFO - Epoch [4][6600/7390] lr: 1.000e-02, eta: 8:28:25, time: 0.514, data_time: 0.008, memory: 43091, loss_cls: 7.8981, losses_bboxes: 0.4821, loss: 8.3802 2022-09-29 05:41:56,265 - mmdet - INFO - Epoch [4][6650/7390] lr: 1.000e-02, eta: 8:28:00, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.9004, losses_bboxes: 0.4819, loss: 8.3823 2022-09-29 05:42:21,611 - mmdet - INFO - Epoch [4][6700/7390] lr: 1.000e-02, eta: 8:27:34, time: 0.506, data_time: 0.010, memory: 43091, loss_cls: 7.9071, losses_bboxes: 0.4802, loss: 8.3873 2022-09-29 05:42:46,863 - mmdet - INFO - Epoch [4][6750/7390] lr: 1.000e-02, eta: 8:27:09, time: 0.506, data_time: 0.011, memory: 43091, loss_cls: 7.8926, losses_bboxes: 0.4821, loss: 8.3747 2022-09-29 05:43:12,225 - mmdet - INFO - Epoch [4][6800/7390] lr: 1.000e-02, eta: 8:26:43, time: 0.508, data_time: 0.010, memory: 43091, loss_cls: 7.8983, losses_bboxes: 0.4813, loss: 8.3795 2022-09-29 05:43:37,500 - mmdet - INFO - Epoch [4][6850/7390] lr: 1.000e-02, eta: 8:26:17, time: 0.505, data_time: 0.010, memory: 43091, loss_cls: 7.8994, losses_bboxes: 0.4820, loss: 8.3814 2022-09-29 05:44:02,598 - mmdet - INFO - Epoch [4][6900/7390] lr: 1.000e-02, eta: 8:25:51, time: 0.502, data_time: 0.011, memory: 43091, loss_cls: 7.9065, losses_bboxes: 0.4801, loss: 8.3866 2022-09-29 05:44:27,894 - mmdet - INFO - Epoch [4][6950/7390] lr: 1.000e-02, eta: 8:25:25, time: 0.505, data_time: 0.011, memory: 43091, loss_cls: 7.8993, losses_bboxes: 0.4815, loss: 8.3808 2022-09-29 05:44:53,541 - mmdet - INFO - Epoch [4][7000/7390] lr: 1.000e-02, eta: 8:25:00, time: 0.515, data_time: 0.011, memory: 43091, loss_cls: 7.8965, losses_bboxes: 0.4803, loss: 8.3768 2022-09-29 05:45:19,241 - mmdet - INFO - Epoch [4][7050/7390] lr: 1.000e-02, eta: 8:24:35, time: 0.515, data_time: 0.010, memory: 43091, loss_cls: 7.8912, losses_bboxes: 0.4809, loss: 8.3721 2022-09-29 05:45:44,858 - mmdet - INFO - Epoch [4][7100/7390] lr: 1.000e-02, eta: 8:24:10, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.9042, losses_bboxes: 0.4822, loss: 8.3864 2022-09-29 05:46:10,497 - mmdet - INFO - Epoch [4][7150/7390] lr: 1.000e-02, eta: 8:23:45, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8929, losses_bboxes: 0.4804, loss: 8.3733 2022-09-29 05:46:35,190 - mmdet - INFO - Epoch [4][7200/7390] lr: 1.000e-02, eta: 8:23:18, time: 0.493, data_time: 0.009, memory: 43091, loss_cls: 7.9033, losses_bboxes: 0.4820, loss: 8.3853 2022-09-29 05:47:00,994 - mmdet - INFO - Epoch [4][7250/7390] lr: 1.000e-02, eta: 8:22:53, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.8999, losses_bboxes: 0.4801, loss: 8.3800 2022-09-29 05:47:26,335 - mmdet - INFO - Epoch [4][7300/7390] lr: 1.000e-02, eta: 8:22:27, time: 0.509, data_time: 0.011, memory: 43091, loss_cls: 7.9046, losses_bboxes: 0.4820, loss: 8.3866 2022-09-29 05:47:51,897 - mmdet - INFO - Epoch [4][7350/7390] lr: 1.000e-02, eta: 8:22:02, time: 0.510, data_time: 0.009, memory: 43091, loss_cls: 7.8993, losses_bboxes: 0.4810, loss: 8.3802 2022-09-29 05:48:12,273 - mmdet - INFO - Saving checkpoint at 4 epochs 2022-09-29 05:48:41,679 - mmdet - INFO - Epoch [5][50/7390] lr: 1.000e-02, eta: 8:20:41, time: 0.567, data_time: 0.074, memory: 43091, loss_cls: 7.8956, losses_bboxes: 0.4806, loss: 8.3763 2022-09-29 05:49:07,201 - mmdet - INFO - Epoch [5][100/7390] lr: 1.000e-02, eta: 8:20:16, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.9029, losses_bboxes: 0.4806, loss: 8.3835 2022-09-29 05:49:32,108 - mmdet - INFO - Epoch [5][150/7390] lr: 1.000e-02, eta: 8:19:50, time: 0.498, data_time: 0.011, memory: 43091, loss_cls: 7.8948, losses_bboxes: 0.4803, loss: 8.3751 2022-09-29 05:49:57,398 - mmdet - INFO - Epoch [5][200/7390] lr: 1.000e-02, eta: 8:19:24, time: 0.504, data_time: 0.011, memory: 43091, loss_cls: 7.8975, losses_bboxes: 0.4795, loss: 8.3771 2022-09-29 05:50:23,183 - mmdet - INFO - Epoch [5][250/7390] lr: 1.000e-02, eta: 8:18:59, time: 0.517, data_time: 0.013, memory: 43091, loss_cls: 7.9032, losses_bboxes: 0.4822, loss: 8.3855 2022-09-29 05:50:48,788 - mmdet - INFO - Epoch [5][300/7390] lr: 1.000e-02, eta: 8:18:34, time: 0.512, data_time: 0.011, memory: 43091, loss_cls: 7.8945, losses_bboxes: 0.4823, loss: 8.3768 2022-09-29 05:51:14,237 - mmdet - INFO - Epoch [5][350/7390] lr: 1.000e-02, eta: 8:18:09, time: 0.510, data_time: 0.011, memory: 43091, loss_cls: 7.9057, losses_bboxes: 0.4808, loss: 8.3865 2022-09-29 05:51:39,970 - mmdet - INFO - Epoch [5][400/7390] lr: 1.000e-02, eta: 8:17:44, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.8952, losses_bboxes: 0.4814, loss: 8.3766 2022-09-29 05:52:05,998 - mmdet - INFO - Epoch [5][450/7390] lr: 1.000e-02, eta: 8:17:20, time: 0.520, data_time: 0.012, memory: 43091, loss_cls: 7.9093, losses_bboxes: 0.4801, loss: 8.3894 2022-09-29 05:52:31,389 - mmdet - INFO - Epoch [5][500/7390] lr: 1.000e-02, eta: 8:16:54, time: 0.510, data_time: 0.013, memory: 43091, loss_cls: 7.8909, losses_bboxes: 0.4821, loss: 8.3730 2022-09-29 05:52:57,072 - mmdet - INFO - Epoch [5][550/7390] lr: 1.000e-02, eta: 8:16:29, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.8979, losses_bboxes: 0.4806, loss: 8.3786 2022-09-29 05:53:22,963 - mmdet - INFO - Epoch [5][600/7390] lr: 1.000e-02, eta: 8:16:05, time: 0.517, data_time: 0.011, memory: 43091, loss_cls: 7.8960, losses_bboxes: 0.4805, loss: 8.3765 2022-09-29 05:53:48,551 - mmdet - INFO - Epoch [5][650/7390] lr: 1.000e-02, eta: 8:15:40, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.9075, losses_bboxes: 0.4818, loss: 8.3893 2022-09-29 05:54:14,303 - mmdet - INFO - Epoch [5][700/7390] lr: 1.000e-02, eta: 8:15:15, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.8924, losses_bboxes: 0.4801, loss: 8.3725 2022-09-29 05:54:39,329 - mmdet - INFO - Epoch [5][750/7390] lr: 1.000e-02, eta: 8:14:49, time: 0.501, data_time: 0.011, memory: 43091, loss_cls: 7.9098, losses_bboxes: 0.4814, loss: 8.3911 2022-09-29 05:55:05,172 - mmdet - INFO - Epoch [5][800/7390] lr: 1.000e-02, eta: 8:14:24, time: 0.516, data_time: 0.010, memory: 43091, loss_cls: 7.8951, losses_bboxes: 0.4804, loss: 8.3754 2022-09-29 05:55:30,937 - mmdet - INFO - Epoch [5][850/7390] lr: 1.000e-02, eta: 8:13:59, time: 0.515, data_time: 0.011, memory: 43091, loss_cls: 7.8978, losses_bboxes: 0.4776, loss: 8.3754 2022-09-29 05:55:56,579 - mmdet - INFO - Epoch [5][900/7390] lr: 1.000e-02, eta: 8:13:34, time: 0.515, data_time: 0.012, memory: 43091, loss_cls: 7.8931, losses_bboxes: 0.4795, loss: 8.3726 2022-09-29 05:56:22,018 - mmdet - INFO - Epoch [5][950/7390] lr: 1.000e-02, eta: 8:13:09, time: 0.507, data_time: 0.010, memory: 43091, loss_cls: 7.8992, losses_bboxes: 0.4797, loss: 8.3788 2022-09-29 05:56:47,787 - mmdet - INFO - Epoch [5][1000/7390] lr: 1.000e-02, eta: 8:12:44, time: 0.517, data_time: 0.011, memory: 43091, loss_cls: 7.9053, losses_bboxes: 0.4815, loss: 8.3868 2022-09-29 05:57:13,466 - mmdet - INFO - Epoch [5][1050/7390] lr: 1.000e-02, eta: 8:12:19, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.9029, losses_bboxes: 0.4813, loss: 8.3842 2022-09-29 05:57:39,125 - mmdet - INFO - Epoch [5][1100/7390] lr: 1.000e-02, eta: 8:11:54, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.8903, losses_bboxes: 0.4795, loss: 8.3698 2022-09-29 05:58:04,753 - mmdet - INFO - Epoch [5][1150/7390] lr: 1.000e-02, eta: 8:11:29, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.8878, losses_bboxes: 0.4810, loss: 8.3688 2022-09-29 05:58:30,173 - mmdet - INFO - Epoch [5][1200/7390] lr: 1.000e-02, eta: 8:11:03, time: 0.508, data_time: 0.011, memory: 43091, loss_cls: 7.8968, losses_bboxes: 0.4800, loss: 8.3768 2022-09-29 05:58:55,915 - mmdet - INFO - Epoch [5][1250/7390] lr: 1.000e-02, eta: 8:10:39, time: 0.516, data_time: 0.012, memory: 43091, loss_cls: 7.8923, losses_bboxes: 0.4804, loss: 8.3726 2022-09-29 05:59:21,514 - mmdet - INFO - Epoch [5][1300/7390] lr: 1.000e-02, eta: 8:10:13, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.8883, losses_bboxes: 0.4804, loss: 8.3687 2022-09-29 05:59:46,606 - mmdet - INFO - Epoch [5][1350/7390] lr: 1.000e-02, eta: 8:09:47, time: 0.501, data_time: 0.010, memory: 43091, loss_cls: 7.8987, losses_bboxes: 0.4807, loss: 8.3794 2022-09-29 06:00:12,189 - mmdet - INFO - Epoch [5][1400/7390] lr: 1.000e-02, eta: 8:09:22, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.9020, losses_bboxes: 0.4811, loss: 8.3831 2022-09-29 06:00:37,928 - mmdet - INFO - Epoch [5][1450/7390] lr: 1.000e-02, eta: 8:08:57, time: 0.517, data_time: 0.011, memory: 43091, loss_cls: 7.9045, losses_bboxes: 0.4805, loss: 8.3850 2022-09-29 06:01:03,626 - mmdet - INFO - Epoch [5][1500/7390] lr: 1.000e-02, eta: 8:08:32, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.8802, losses_bboxes: 0.4808, loss: 8.3610 2022-09-29 06:01:29,573 - mmdet - INFO - Epoch [5][1550/7390] lr: 1.000e-02, eta: 8:08:08, time: 0.519, data_time: 0.009, memory: 43091, loss_cls: 7.8986, losses_bboxes: 0.4801, loss: 8.3788 2022-09-29 06:01:54,612 - mmdet - INFO - Epoch [5][1600/7390] lr: 1.000e-02, eta: 8:07:42, time: 0.500, data_time: 0.010, memory: 43091, loss_cls: 7.9019, losses_bboxes: 0.4809, loss: 8.3828 2022-09-29 06:02:19,573 - mmdet - INFO - Epoch [5][1650/7390] lr: 1.000e-02, eta: 8:07:15, time: 0.498, data_time: 0.010, memory: 43091, loss_cls: 7.9022, losses_bboxes: 0.4786, loss: 8.3807 2022-09-29 06:02:45,141 - mmdet - INFO - Epoch [5][1700/7390] lr: 1.000e-02, eta: 8:06:50, time: 0.510, data_time: 0.011, memory: 43091, loss_cls: 7.8865, losses_bboxes: 0.4793, loss: 8.3658 2022-09-29 06:03:10,697 - mmdet - INFO - Epoch [5][1750/7390] lr: 1.000e-02, eta: 8:06:25, time: 0.514, data_time: 0.012, memory: 43091, loss_cls: 7.8955, losses_bboxes: 0.4806, loss: 8.3761 2022-09-29 06:03:36,226 - mmdet - INFO - Epoch [5][1800/7390] lr: 1.000e-02, eta: 8:06:00, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.8952, losses_bboxes: 0.4791, loss: 8.3743 2022-09-29 06:04:01,558 - mmdet - INFO - Epoch [5][1850/7390] lr: 1.000e-02, eta: 8:05:34, time: 0.504, data_time: 0.010, memory: 43091, loss_cls: 7.8896, losses_bboxes: 0.4783, loss: 8.3679 2022-09-29 06:04:26,748 - mmdet - INFO - Epoch [5][1900/7390] lr: 1.000e-02, eta: 8:05:08, time: 0.506, data_time: 0.012, memory: 43091, loss_cls: 7.9011, losses_bboxes: 0.4790, loss: 8.3801 2022-09-29 06:04:51,751 - mmdet - INFO - Epoch [5][1950/7390] lr: 1.000e-02, eta: 8:04:42, time: 0.500, data_time: 0.010, memory: 43091, loss_cls: 7.8925, losses_bboxes: 0.4798, loss: 8.3723 2022-09-29 06:05:17,193 - mmdet - INFO - Epoch [5][2000/7390] lr: 1.000e-02, eta: 8:04:17, time: 0.508, data_time: 0.010, memory: 43091, loss_cls: 7.8958, losses_bboxes: 0.4807, loss: 8.3765 2022-09-29 06:05:42,873 - mmdet - INFO - Epoch [5][2050/7390] lr: 1.000e-02, eta: 8:03:52, time: 0.514, data_time: 0.011, memory: 43091, loss_cls: 7.9028, losses_bboxes: 0.4789, loss: 8.3817 2022-09-29 06:06:08,056 - mmdet - INFO - Epoch [5][2100/7390] lr: 1.000e-02, eta: 8:03:26, time: 0.503, data_time: 0.011, memory: 43091, loss_cls: 7.8979, losses_bboxes: 0.4810, loss: 8.3789 2022-09-29 06:06:33,876 - mmdet - INFO - Epoch [5][2150/7390] lr: 1.000e-02, eta: 8:03:01, time: 0.517, data_time: 0.011, memory: 43091, loss_cls: 7.8915, losses_bboxes: 0.4805, loss: 8.3721 2022-09-29 06:06:59,319 - mmdet - INFO - Epoch [5][2200/7390] lr: 1.000e-02, eta: 8:02:35, time: 0.507, data_time: 0.010, memory: 43091, loss_cls: 7.8970, losses_bboxes: 0.4804, loss: 8.3774 2022-09-29 06:07:25,133 - mmdet - INFO - Epoch [5][2250/7390] lr: 1.000e-02, eta: 8:02:11, time: 0.518, data_time: 0.012, memory: 43091, loss_cls: 7.8927, losses_bboxes: 0.4817, loss: 8.3744 2022-09-29 06:07:50,602 - mmdet - INFO - Epoch [5][2300/7390] lr: 1.000e-02, eta: 8:01:45, time: 0.510, data_time: 0.011, memory: 43091, loss_cls: 7.8897, losses_bboxes: 0.4807, loss: 8.3704 2022-09-29 06:08:15,631 - mmdet - INFO - Epoch [5][2350/7390] lr: 1.000e-02, eta: 8:01:19, time: 0.500, data_time: 0.010, memory: 43091, loss_cls: 7.8770, losses_bboxes: 0.4793, loss: 8.3563 2022-09-29 06:08:41,230 - mmdet - INFO - Epoch [5][2400/7390] lr: 1.000e-02, eta: 8:00:54, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.8960, losses_bboxes: 0.4809, loss: 8.3769 2022-09-29 06:09:07,322 - mmdet - INFO - Epoch [5][2450/7390] lr: 1.000e-02, eta: 8:00:30, time: 0.520, data_time: 0.010, memory: 43091, loss_cls: 7.8994, losses_bboxes: 0.4805, loss: 8.3800 2022-09-29 06:09:33,033 - mmdet - INFO - Epoch [5][2500/7390] lr: 1.000e-02, eta: 8:00:05, time: 0.515, data_time: 0.011, memory: 43091, loss_cls: 7.8986, losses_bboxes: 0.4808, loss: 8.3794 2022-09-29 06:09:58,677 - mmdet - INFO - Epoch [5][2550/7390] lr: 1.000e-02, eta: 7:59:40, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8945, losses_bboxes: 0.4790, loss: 8.3735 2022-09-29 06:10:24,326 - mmdet - INFO - Epoch [5][2600/7390] lr: 1.000e-02, eta: 7:59:15, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.8880, losses_bboxes: 0.4777, loss: 8.3657 2022-09-29 06:10:49,691 - mmdet - INFO - Epoch [5][2650/7390] lr: 1.000e-02, eta: 7:58:49, time: 0.508, data_time: 0.012, memory: 43091, loss_cls: 7.9024, losses_bboxes: 0.4797, loss: 8.3821 2022-09-29 06:11:15,466 - mmdet - INFO - Epoch [5][2700/7390] lr: 1.000e-02, eta: 7:58:24, time: 0.516, data_time: 0.011, memory: 43091, loss_cls: 7.8898, losses_bboxes: 0.4790, loss: 8.3688 2022-09-29 06:11:41,200 - mmdet - INFO - Epoch [5][2750/7390] lr: 1.000e-02, eta: 7:57:59, time: 0.515, data_time: 0.009, memory: 43091, loss_cls: 7.8831, losses_bboxes: 0.4800, loss: 8.3630 2022-09-29 06:12:06,302 - mmdet - INFO - Epoch [5][2800/7390] lr: 1.000e-02, eta: 7:57:33, time: 0.501, data_time: 0.010, memory: 43091, loss_cls: 7.8962, losses_bboxes: 0.4797, loss: 8.3760 2022-09-29 06:12:31,892 - mmdet - INFO - Epoch [5][2850/7390] lr: 1.000e-02, eta: 7:57:08, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.8874, losses_bboxes: 0.4799, loss: 8.3673 2022-09-29 06:12:57,160 - mmdet - INFO - Epoch [5][2900/7390] lr: 1.000e-02, eta: 7:56:42, time: 0.505, data_time: 0.011, memory: 43091, loss_cls: 7.9016, losses_bboxes: 0.4808, loss: 8.3824 2022-09-29 06:13:22,697 - mmdet - INFO - Epoch [5][2950/7390] lr: 1.000e-02, eta: 7:56:17, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.8862, losses_bboxes: 0.4787, loss: 8.3649 2022-09-29 06:13:48,519 - mmdet - INFO - Epoch [5][3000/7390] lr: 1.000e-02, eta: 7:55:52, time: 0.516, data_time: 0.010, memory: 43091, loss_cls: 7.8996, losses_bboxes: 0.4792, loss: 8.3788 2022-09-29 06:14:13,799 - mmdet - INFO - Epoch [5][3050/7390] lr: 1.000e-02, eta: 7:55:27, time: 0.506, data_time: 0.011, memory: 43091, loss_cls: 7.8977, losses_bboxes: 0.4817, loss: 8.3793 2022-09-29 06:14:39,154 - mmdet - INFO - Epoch [5][3100/7390] lr: 1.000e-02, eta: 7:55:01, time: 0.507, data_time: 0.010, memory: 43091, loss_cls: 7.9058, losses_bboxes: 0.4792, loss: 8.3850 2022-09-29 06:15:04,811 - mmdet - INFO - Epoch [5][3150/7390] lr: 1.000e-02, eta: 7:54:36, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8952, losses_bboxes: 0.4804, loss: 8.3756 2022-09-29 06:15:30,399 - mmdet - INFO - Epoch [5][3200/7390] lr: 1.000e-02, eta: 7:54:11, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.8956, losses_bboxes: 0.4804, loss: 8.3760 2022-09-29 06:15:55,558 - mmdet - INFO - Epoch [5][3250/7390] lr: 1.000e-02, eta: 7:53:45, time: 0.501, data_time: 0.010, memory: 43091, loss_cls: 7.8855, losses_bboxes: 0.4807, loss: 8.3662 2022-09-29 06:16:20,983 - mmdet - INFO - Epoch [5][3300/7390] lr: 1.000e-02, eta: 7:53:19, time: 0.510, data_time: 0.012, memory: 43091, loss_cls: 7.8811, losses_bboxes: 0.4782, loss: 8.3593 2022-09-29 06:16:46,657 - mmdet - INFO - Epoch [5][3350/7390] lr: 1.000e-02, eta: 7:52:54, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8909, losses_bboxes: 0.4782, loss: 8.3691 2022-09-29 06:17:12,092 - mmdet - INFO - Epoch [5][3400/7390] lr: 1.000e-02, eta: 7:52:29, time: 0.508, data_time: 0.010, memory: 43091, loss_cls: 7.8988, losses_bboxes: 0.4800, loss: 8.3788 2022-09-29 06:17:38,136 - mmdet - INFO - Epoch [5][3450/7390] lr: 1.000e-02, eta: 7:52:05, time: 0.522, data_time: 0.011, memory: 43091, loss_cls: 7.8964, losses_bboxes: 0.4816, loss: 8.3780 2022-09-29 06:18:03,570 - mmdet - INFO - Epoch [5][3500/7390] lr: 1.000e-02, eta: 7:51:39, time: 0.507, data_time: 0.010, memory: 43091, loss_cls: 7.9025, losses_bboxes: 0.4802, loss: 8.3827 2022-09-29 06:18:29,402 - mmdet - INFO - Epoch [5][3550/7390] lr: 1.000e-02, eta: 7:51:14, time: 0.516, data_time: 0.012, memory: 43091, loss_cls: 7.8856, losses_bboxes: 0.4792, loss: 8.3648 2022-09-29 06:18:55,210 - mmdet - INFO - Epoch [5][3600/7390] lr: 1.000e-02, eta: 7:50:50, time: 0.518, data_time: 0.012, memory: 43091, loss_cls: 7.8956, losses_bboxes: 0.4806, loss: 8.3761 2022-09-29 06:19:20,952 - mmdet - INFO - Epoch [5][3650/7390] lr: 1.000e-02, eta: 7:50:24, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.8985, losses_bboxes: 0.4813, loss: 8.3797 2022-09-29 06:19:46,411 - mmdet - INFO - Epoch [5][3700/7390] lr: 1.000e-02, eta: 7:49:59, time: 0.510, data_time: 0.012, memory: 43091, loss_cls: 7.8952, losses_bboxes: 0.4786, loss: 8.3738 2022-09-29 06:20:12,050 - mmdet - INFO - Epoch [5][3750/7390] lr: 1.000e-02, eta: 7:49:34, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.8952, losses_bboxes: 0.4785, loss: 8.3736 2022-09-29 06:20:37,558 - mmdet - INFO - Epoch [5][3800/7390] lr: 1.000e-02, eta: 7:49:09, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.8896, losses_bboxes: 0.4801, loss: 8.3698 2022-09-29 06:21:02,712 - mmdet - INFO - Epoch [5][3850/7390] lr: 1.000e-02, eta: 7:48:43, time: 0.502, data_time: 0.011, memory: 43091, loss_cls: 7.8879, losses_bboxes: 0.4783, loss: 8.3663 2022-09-29 06:21:28,662 - mmdet - INFO - Epoch [5][3900/7390] lr: 1.000e-02, eta: 7:48:18, time: 0.521, data_time: 0.012, memory: 43091, loss_cls: 7.8988, losses_bboxes: 0.4796, loss: 8.3783 2022-09-29 06:21:54,441 - mmdet - INFO - Epoch [5][3950/7390] lr: 1.000e-02, eta: 7:47:53, time: 0.515, data_time: 0.010, memory: 43091, loss_cls: 7.8923, losses_bboxes: 0.4802, loss: 8.3725 2022-09-29 06:22:20,274 - mmdet - INFO - Epoch [5][4000/7390] lr: 1.000e-02, eta: 7:47:28, time: 0.517, data_time: 0.010, memory: 43091, loss_cls: 7.8944, losses_bboxes: 0.4809, loss: 8.3753 2022-09-29 06:22:46,112 - mmdet - INFO - Epoch [5][4050/7390] lr: 1.000e-02, eta: 7:47:04, time: 0.515, data_time: 0.010, memory: 43091, loss_cls: 7.8907, losses_bboxes: 0.4772, loss: 8.3679 2022-09-29 06:23:11,929 - mmdet - INFO - Epoch [5][4100/7390] lr: 1.000e-02, eta: 7:46:39, time: 0.517, data_time: 0.012, memory: 43091, loss_cls: 7.8883, losses_bboxes: 0.4798, loss: 8.3680 2022-09-29 06:23:37,523 - mmdet - INFO - Epoch [5][4150/7390] lr: 1.000e-02, eta: 7:46:14, time: 0.512, data_time: 0.011, memory: 43091, loss_cls: 7.8912, losses_bboxes: 0.4783, loss: 8.3694 2022-09-29 06:24:03,547 - mmdet - INFO - Epoch [5][4200/7390] lr: 1.000e-02, eta: 7:45:49, time: 0.521, data_time: 0.012, memory: 43091, loss_cls: 7.8892, losses_bboxes: 0.4793, loss: 8.3685 2022-09-29 06:24:28,538 - mmdet - INFO - Epoch [5][4250/7390] lr: 1.000e-02, eta: 7:45:23, time: 0.500, data_time: 0.010, memory: 43091, loss_cls: 7.8976, losses_bboxes: 0.4786, loss: 8.3762 2022-09-29 06:24:54,379 - mmdet - INFO - Epoch [5][4300/7390] lr: 1.000e-02, eta: 7:44:58, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8894, losses_bboxes: 0.4816, loss: 8.3710 2022-09-29 06:25:19,862 - mmdet - INFO - Epoch [5][4350/7390] lr: 1.000e-02, eta: 7:44:33, time: 0.510, data_time: 0.012, memory: 43091, loss_cls: 7.9075, losses_bboxes: 0.4784, loss: 8.3859 2022-09-29 06:25:44,963 - mmdet - INFO - Epoch [5][4400/7390] lr: 1.000e-02, eta: 7:44:07, time: 0.504, data_time: 0.013, memory: 43091, loss_cls: 7.8890, losses_bboxes: 0.4770, loss: 8.3659 2022-09-29 06:26:10,522 - mmdet - INFO - Epoch [5][4450/7390] lr: 1.000e-02, eta: 7:43:41, time: 0.512, data_time: 0.011, memory: 43091, loss_cls: 7.8903, losses_bboxes: 0.4789, loss: 8.3691 2022-09-29 06:26:36,025 - mmdet - INFO - Epoch [5][4500/7390] lr: 1.000e-02, eta: 7:43:16, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.8949, losses_bboxes: 0.4789, loss: 8.3738 2022-09-29 06:27:01,500 - mmdet - INFO - Epoch [5][4550/7390] lr: 1.000e-02, eta: 7:42:51, time: 0.508, data_time: 0.010, memory: 43091, loss_cls: 7.9016, losses_bboxes: 0.4773, loss: 8.3789 2022-09-29 06:27:27,247 - mmdet - INFO - Epoch [5][4600/7390] lr: 1.000e-02, eta: 7:42:26, time: 0.516, data_time: 0.011, memory: 43091, loss_cls: 7.8962, losses_bboxes: 0.4804, loss: 8.3766 2022-09-29 06:27:53,013 - mmdet - INFO - Epoch [5][4650/7390] lr: 1.000e-02, eta: 7:42:01, time: 0.516, data_time: 0.010, memory: 43091, loss_cls: 7.8861, losses_bboxes: 0.4797, loss: 8.3658 2022-09-29 06:28:21,297 - mmdet - INFO - Epoch [5][4700/7390] lr: 1.000e-02, eta: 7:41:40, time: 0.564, data_time: 0.010, memory: 43091, loss_cls: 7.8877, losses_bboxes: 0.4800, loss: 8.3676 2022-09-29 06:28:52,073 - mmdet - INFO - Epoch [5][4750/7390] lr: 1.000e-02, eta: 7:41:23, time: 0.616, data_time: 0.012, memory: 43091, loss_cls: 7.8927, losses_bboxes: 0.4803, loss: 8.3730 2022-09-29 06:29:19,602 - mmdet - INFO - Epoch [5][4800/7390] lr: 1.000e-02, eta: 7:41:01, time: 0.550, data_time: 0.011, memory: 43091, loss_cls: 7.8859, losses_bboxes: 0.4785, loss: 8.3644 2022-09-29 06:29:47,546 - mmdet - INFO - Epoch [5][4850/7390] lr: 1.000e-02, eta: 7:40:39, time: 0.560, data_time: 0.012, memory: 43091, loss_cls: 7.8911, losses_bboxes: 0.4778, loss: 8.3689 2022-09-29 06:30:15,962 - mmdet - INFO - Epoch [5][4900/7390] lr: 1.000e-02, eta: 7:40:18, time: 0.566, data_time: 0.010, memory: 43091, loss_cls: 7.8889, losses_bboxes: 0.4789, loss: 8.3678 2022-09-29 06:30:43,832 - mmdet - INFO - Epoch [5][4950/7390] lr: 1.000e-02, eta: 7:39:57, time: 0.559, data_time: 0.012, memory: 43091, loss_cls: 7.8816, losses_bboxes: 0.4791, loss: 8.3606 2022-09-29 06:31:09,825 - mmdet - INFO - Epoch [5][5000/7390] lr: 1.000e-02, eta: 7:39:32, time: 0.520, data_time: 0.010, memory: 43091, loss_cls: 7.8991, losses_bboxes: 0.4778, loss: 8.3769 2022-09-29 06:31:35,498 - mmdet - INFO - Epoch [5][5050/7390] lr: 1.000e-02, eta: 7:39:07, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.8921, losses_bboxes: 0.4807, loss: 8.3728 2022-09-29 06:32:03,020 - mmdet - INFO - Epoch [5][5100/7390] lr: 1.000e-02, eta: 7:38:44, time: 0.551, data_time: 0.012, memory: 43091, loss_cls: 7.8878, losses_bboxes: 0.4774, loss: 8.3652 2022-09-29 06:32:28,695 - mmdet - INFO - Epoch [5][5150/7390] lr: 1.000e-02, eta: 7:38:19, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.8890, losses_bboxes: 0.4783, loss: 8.3673 2022-09-29 06:32:54,579 - mmdet - INFO - Epoch [5][5200/7390] lr: 1.000e-02, eta: 7:37:55, time: 0.520, data_time: 0.012, memory: 43091, loss_cls: 7.8970, losses_bboxes: 0.4807, loss: 8.3777 2022-09-29 06:33:20,143 - mmdet - INFO - Epoch [5][5250/7390] lr: 1.000e-02, eta: 7:37:29, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.8890, losses_bboxes: 0.4776, loss: 8.3666 2022-09-29 06:33:45,724 - mmdet - INFO - Epoch [5][5300/7390] lr: 1.000e-02, eta: 7:37:04, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.8938, losses_bboxes: 0.4782, loss: 8.3720 2022-09-29 06:34:11,449 - mmdet - INFO - Epoch [5][5350/7390] lr: 1.000e-02, eta: 7:36:39, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8992, losses_bboxes: 0.4792, loss: 8.3783 2022-09-29 06:34:36,389 - mmdet - INFO - Epoch [5][5400/7390] lr: 1.000e-02, eta: 7:36:12, time: 0.498, data_time: 0.011, memory: 43091, loss_cls: 7.8900, losses_bboxes: 0.4779, loss: 8.3679 2022-09-29 06:35:02,068 - mmdet - INFO - Epoch [5][5450/7390] lr: 1.000e-02, eta: 7:35:47, time: 0.514, data_time: 0.011, memory: 43091, loss_cls: 7.8800, losses_bboxes: 0.4789, loss: 8.3589 2022-09-29 06:35:27,502 - mmdet - INFO - Epoch [5][5500/7390] lr: 1.000e-02, eta: 7:35:22, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.8967, losses_bboxes: 0.4790, loss: 8.3756 2022-09-29 06:35:52,806 - mmdet - INFO - Epoch [5][5550/7390] lr: 1.000e-02, eta: 7:34:56, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.8929, losses_bboxes: 0.4783, loss: 8.3712 2022-09-29 06:36:18,216 - mmdet - INFO - Epoch [5][5600/7390] lr: 1.000e-02, eta: 7:34:30, time: 0.509, data_time: 0.010, memory: 43091, loss_cls: 7.8908, losses_bboxes: 0.4784, loss: 8.3692 2022-09-29 06:36:43,990 - mmdet - INFO - Epoch [5][5650/7390] lr: 1.000e-02, eta: 7:34:05, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.8990, losses_bboxes: 0.4795, loss: 8.3785 2022-09-29 06:37:09,370 - mmdet - INFO - Epoch [5][5700/7390] lr: 1.000e-02, eta: 7:33:40, time: 0.509, data_time: 0.012, memory: 43091, loss_cls: 7.8989, losses_bboxes: 0.4783, loss: 8.3772 2022-09-29 06:37:35,351 - mmdet - INFO - Epoch [5][5750/7390] lr: 1.000e-02, eta: 7:33:15, time: 0.520, data_time: 0.010, memory: 43091, loss_cls: 7.8893, losses_bboxes: 0.4786, loss: 8.3678 2022-09-29 06:38:00,567 - mmdet - INFO - Epoch [5][5800/7390] lr: 1.000e-02, eta: 7:32:49, time: 0.503, data_time: 0.010, memory: 43091, loss_cls: 7.8865, losses_bboxes: 0.4769, loss: 8.3635 2022-09-29 06:38:26,101 - mmdet - INFO - Epoch [5][5850/7390] lr: 1.000e-02, eta: 7:32:24, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.9052, losses_bboxes: 0.4782, loss: 8.3834 2022-09-29 06:38:51,699 - mmdet - INFO - Epoch [5][5900/7390] lr: 1.000e-02, eta: 7:31:59, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.8913, losses_bboxes: 0.4790, loss: 8.3703 2022-09-29 06:39:17,171 - mmdet - INFO - Epoch [5][5950/7390] lr: 1.000e-02, eta: 7:31:33, time: 0.509, data_time: 0.010, memory: 43091, loss_cls: 7.8863, losses_bboxes: 0.4790, loss: 8.3653 2022-09-29 06:39:42,723 - mmdet - INFO - Epoch [5][6000/7390] lr: 1.000e-02, eta: 7:31:08, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.8962, losses_bboxes: 0.4777, loss: 8.3739 2022-09-29 06:40:08,276 - mmdet - INFO - Epoch [5][6050/7390] lr: 1.000e-02, eta: 7:30:42, time: 0.513, data_time: 0.012, memory: 43091, loss_cls: 7.8947, losses_bboxes: 0.4785, loss: 8.3731 2022-09-29 06:40:33,477 - mmdet - INFO - Epoch [5][6100/7390] lr: 1.000e-02, eta: 7:30:16, time: 0.504, data_time: 0.010, memory: 43091, loss_cls: 7.8906, losses_bboxes: 0.4774, loss: 8.3680 2022-09-29 06:40:58,707 - mmdet - INFO - Epoch [5][6150/7390] lr: 1.000e-02, eta: 7:29:50, time: 0.504, data_time: 0.010, memory: 43091, loss_cls: 7.8896, losses_bboxes: 0.4760, loss: 8.3656 2022-09-29 06:41:24,437 - mmdet - INFO - Epoch [5][6200/7390] lr: 1.000e-02, eta: 7:29:25, time: 0.515, data_time: 0.011, memory: 43091, loss_cls: 7.9030, losses_bboxes: 0.4784, loss: 8.3814 2022-09-29 06:41:50,083 - mmdet - INFO - Epoch [5][6250/7390] lr: 1.000e-02, eta: 7:29:00, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.8817, losses_bboxes: 0.4793, loss: 8.3610 2022-09-29 06:42:15,915 - mmdet - INFO - Epoch [5][6300/7390] lr: 1.000e-02, eta: 7:28:35, time: 0.516, data_time: 0.010, memory: 43091, loss_cls: 7.8888, losses_bboxes: 0.4777, loss: 8.3666 2022-09-29 06:42:41,066 - mmdet - INFO - Epoch [5][6350/7390] lr: 1.000e-02, eta: 7:28:09, time: 0.503, data_time: 0.011, memory: 43091, loss_cls: 7.8855, losses_bboxes: 0.4768, loss: 8.3624 2022-09-29 06:43:06,298 - mmdet - INFO - Epoch [5][6400/7390] lr: 1.000e-02, eta: 7:27:43, time: 0.505, data_time: 0.011, memory: 43091, loss_cls: 7.8871, losses_bboxes: 0.4770, loss: 8.3642 2022-09-29 06:43:31,548 - mmdet - INFO - Epoch [5][6450/7390] lr: 1.000e-02, eta: 7:27:18, time: 0.505, data_time: 0.010, memory: 43091, loss_cls: 7.8802, losses_bboxes: 0.4791, loss: 8.3593 2022-09-29 06:43:57,277 - mmdet - INFO - Epoch [5][6500/7390] lr: 1.000e-02, eta: 7:26:52, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8846, losses_bboxes: 0.4781, loss: 8.3626 2022-09-29 06:44:22,604 - mmdet - INFO - Epoch [5][6550/7390] lr: 1.000e-02, eta: 7:26:27, time: 0.508, data_time: 0.011, memory: 43091, loss_cls: 7.8887, losses_bboxes: 0.4795, loss: 8.3681 2022-09-29 06:44:48,315 - mmdet - INFO - Epoch [5][6600/7390] lr: 1.000e-02, eta: 7:26:02, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.9003, losses_bboxes: 0.4791, loss: 8.3795 2022-09-29 06:45:13,932 - mmdet - INFO - Epoch [5][6650/7390] lr: 1.000e-02, eta: 7:25:36, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.8917, losses_bboxes: 0.4800, loss: 8.3717 2022-09-29 06:45:38,970 - mmdet - INFO - Epoch [5][6700/7390] lr: 1.000e-02, eta: 7:25:10, time: 0.501, data_time: 0.011, memory: 43091, loss_cls: 7.8872, losses_bboxes: 0.4782, loss: 8.3654 2022-09-29 06:46:04,468 - mmdet - INFO - Epoch [5][6750/7390] lr: 1.000e-02, eta: 7:24:45, time: 0.508, data_time: 0.011, memory: 43091, loss_cls: 7.8874, losses_bboxes: 0.4785, loss: 8.3659 2022-09-29 06:46:30,228 - mmdet - INFO - Epoch [5][6800/7390] lr: 1.000e-02, eta: 7:24:20, time: 0.516, data_time: 0.012, memory: 43091, loss_cls: 7.8805, losses_bboxes: 0.4788, loss: 8.3593 2022-09-29 06:46:55,656 - mmdet - INFO - Epoch [5][6850/7390] lr: 1.000e-02, eta: 7:23:54, time: 0.508, data_time: 0.011, memory: 43091, loss_cls: 7.8961, losses_bboxes: 0.4782, loss: 8.3743 2022-09-29 06:47:20,955 - mmdet - INFO - Epoch [5][6900/7390] lr: 1.000e-02, eta: 7:23:28, time: 0.509, data_time: 0.013, memory: 43091, loss_cls: 7.8847, losses_bboxes: 0.4767, loss: 8.3613 2022-09-29 06:47:46,621 - mmdet - INFO - Epoch [5][6950/7390] lr: 1.000e-02, eta: 7:23:03, time: 0.512, data_time: 0.010, memory: 43091, loss_cls: 7.8887, losses_bboxes: 0.4802, loss: 8.3689 2022-09-29 06:48:12,169 - mmdet - INFO - Epoch [5][7000/7390] lr: 1.000e-02, eta: 7:22:38, time: 0.512, data_time: 0.011, memory: 43091, loss_cls: 7.8788, losses_bboxes: 0.4772, loss: 8.3560 2022-09-29 06:48:37,312 - mmdet - INFO - Epoch [5][7050/7390] lr: 1.000e-02, eta: 7:22:12, time: 0.502, data_time: 0.011, memory: 43091, loss_cls: 7.8886, losses_bboxes: 0.4772, loss: 8.3658 2022-09-29 06:49:03,121 - mmdet - INFO - Epoch [5][7100/7390] lr: 1.000e-02, eta: 7:21:47, time: 0.515, data_time: 0.011, memory: 43091, loss_cls: 7.8978, losses_bboxes: 0.4777, loss: 8.3755 2022-09-29 06:49:28,455 - mmdet - INFO - Epoch [5][7150/7390] lr: 1.000e-02, eta: 7:21:21, time: 0.508, data_time: 0.013, memory: 43091, loss_cls: 7.8980, losses_bboxes: 0.4791, loss: 8.3771 2022-09-29 06:49:54,046 - mmdet - INFO - Epoch [5][7200/7390] lr: 1.000e-02, eta: 7:20:56, time: 0.512, data_time: 0.011, memory: 43091, loss_cls: 7.8908, losses_bboxes: 0.4795, loss: 8.3703 2022-09-29 06:50:19,185 - mmdet - INFO - Epoch [5][7250/7390] lr: 1.000e-02, eta: 7:20:30, time: 0.503, data_time: 0.011, memory: 43091, loss_cls: 7.8869, losses_bboxes: 0.4766, loss: 8.3635 2022-09-29 06:50:44,826 - mmdet - INFO - Epoch [5][7300/7390] lr: 1.000e-02, eta: 7:20:05, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.8952, losses_bboxes: 0.4772, loss: 8.3724 2022-09-29 06:51:10,508 - mmdet - INFO - Epoch [5][7350/7390] lr: 1.000e-02, eta: 7:19:39, time: 0.515, data_time: 0.012, memory: 43091, loss_cls: 7.8837, losses_bboxes: 0.4761, loss: 8.3598 2022-09-29 06:51:31,016 - mmdet - INFO - Saving checkpoint at 5 epochs 2022-09-29 06:52:00,673 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 06:52:00,673 - mmdet - INFO - Epoch [6][50/7390] lr: 1.000e-02, eta: 7:18:29, time: 0.572, data_time: 0.070, memory: 43091, loss_cls: 7.8926, losses_bboxes: 0.4777, loss: 8.3703 2022-09-29 06:52:26,379 - mmdet - INFO - Epoch [6][100/7390] lr: 1.000e-02, eta: 7:18:04, time: 0.513, data_time: 0.009, memory: 43091, loss_cls: 7.8901, losses_bboxes: 0.4762, loss: 8.3663 2022-09-29 06:52:52,234 - mmdet - INFO - Epoch [6][150/7390] lr: 1.000e-02, eta: 7:17:39, time: 0.519, data_time: 0.010, memory: 43091, loss_cls: 7.8836, losses_bboxes: 0.4796, loss: 8.3633 2022-09-29 06:53:17,833 - mmdet - INFO - Epoch [6][200/7390] lr: 1.000e-02, eta: 7:17:14, time: 0.511, data_time: 0.008, memory: 43091, loss_cls: 7.8924, losses_bboxes: 0.4790, loss: 8.3714 2022-09-29 06:53:43,744 - mmdet - INFO - Epoch [6][250/7390] lr: 1.000e-02, eta: 7:16:49, time: 0.518, data_time: 0.010, memory: 43091, loss_cls: 7.8885, losses_bboxes: 0.4787, loss: 8.3672 2022-09-29 06:54:08,941 - mmdet - INFO - Epoch [6][300/7390] lr: 1.000e-02, eta: 7:16:23, time: 0.503, data_time: 0.010, memory: 43091, loss_cls: 7.8832, losses_bboxes: 0.4779, loss: 8.3611 2022-09-29 06:54:34,217 - mmdet - INFO - Epoch [6][350/7390] lr: 1.000e-02, eta: 7:15:58, time: 0.507, data_time: 0.011, memory: 43091, loss_cls: 7.8777, losses_bboxes: 0.4775, loss: 8.3552 2022-09-29 06:54:59,586 - mmdet - INFO - Epoch [6][400/7390] lr: 1.000e-02, eta: 7:15:32, time: 0.507, data_time: 0.009, memory: 43091, loss_cls: 7.8843, losses_bboxes: 0.4743, loss: 8.3587 2022-09-29 06:55:25,780 - mmdet - INFO - Epoch [6][450/7390] lr: 1.000e-02, eta: 7:15:08, time: 0.522, data_time: 0.009, memory: 43091, loss_cls: 7.8852, losses_bboxes: 0.4772, loss: 8.3624 2022-09-29 06:55:51,540 - mmdet - INFO - Epoch [6][500/7390] lr: 1.000e-02, eta: 7:14:43, time: 0.517, data_time: 0.011, memory: 43091, loss_cls: 7.8863, losses_bboxes: 0.4772, loss: 8.3635 2022-09-29 06:56:17,262 - mmdet - INFO - Epoch [6][550/7390] lr: 1.000e-02, eta: 7:14:18, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8834, losses_bboxes: 0.4762, loss: 8.3596 2022-09-29 06:56:43,184 - mmdet - INFO - Epoch [6][600/7390] lr: 1.000e-02, eta: 7:13:53, time: 0.520, data_time: 0.010, memory: 43091, loss_cls: 7.8986, losses_bboxes: 0.4793, loss: 8.3779 2022-09-29 06:57:08,361 - mmdet - INFO - Epoch [6][650/7390] lr: 1.000e-02, eta: 7:13:27, time: 0.504, data_time: 0.009, memory: 43091, loss_cls: 7.8878, losses_bboxes: 0.4791, loss: 8.3669 2022-09-29 06:57:34,035 - mmdet - INFO - Epoch [6][700/7390] lr: 1.000e-02, eta: 7:13:02, time: 0.513, data_time: 0.009, memory: 43091, loss_cls: 7.8969, losses_bboxes: 0.4776, loss: 8.3745 2022-09-29 06:57:59,316 - mmdet - INFO - Epoch [6][750/7390] lr: 1.000e-02, eta: 7:12:36, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.8886, losses_bboxes: 0.4779, loss: 8.3664 2022-09-29 06:58:24,718 - mmdet - INFO - Epoch [6][800/7390] lr: 1.000e-02, eta: 7:12:11, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.8784, losses_bboxes: 0.4778, loss: 8.3563 2022-09-29 06:58:49,986 - mmdet - INFO - Epoch [6][850/7390] lr: 1.000e-02, eta: 7:11:45, time: 0.504, data_time: 0.008, memory: 43091, loss_cls: 7.8955, losses_bboxes: 0.4754, loss: 8.3709 2022-09-29 06:59:15,812 - mmdet - INFO - Epoch [6][900/7390] lr: 1.000e-02, eta: 7:11:20, time: 0.518, data_time: 0.010, memory: 43091, loss_cls: 7.8882, losses_bboxes: 0.4768, loss: 8.3650 2022-09-29 06:59:41,250 - mmdet - INFO - Epoch [6][950/7390] lr: 1.000e-02, eta: 7:10:54, time: 0.508, data_time: 0.009, memory: 43091, loss_cls: 7.8967, losses_bboxes: 0.4775, loss: 8.3742 2022-09-29 07:00:06,942 - mmdet - INFO - Epoch [6][1000/7390] lr: 1.000e-02, eta: 7:10:29, time: 0.514, data_time: 0.009, memory: 43091, loss_cls: 7.8817, losses_bboxes: 0.4777, loss: 8.3594 2022-09-29 07:00:32,181 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 07:00:32,182 - mmdet - INFO - Epoch [6][1050/7390] lr: 1.000e-02, eta: 7:10:03, time: 0.503, data_time: 0.009, memory: 43091, loss_cls: 7.8712, losses_bboxes: 0.4772, loss: 8.3484 2022-09-29 07:00:57,769 - mmdet - INFO - Epoch [6][1100/7390] lr: 1.000e-02, eta: 7:09:38, time: 0.513, data_time: 0.010, memory: 43091, loss_cls: 7.8755, losses_bboxes: 0.4765, loss: 8.3520 2022-09-29 07:01:23,456 - mmdet - INFO - Epoch [6][1150/7390] lr: 1.000e-02, eta: 7:09:13, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.8933, losses_bboxes: 0.4784, loss: 8.3717 2022-09-29 07:01:48,715 - mmdet - INFO - Epoch [6][1200/7390] lr: 1.000e-02, eta: 7:08:47, time: 0.507, data_time: 0.011, memory: 43091, loss_cls: 7.8804, losses_bboxes: 0.4799, loss: 8.3603 2022-09-29 07:02:14,023 - mmdet - INFO - Epoch [6][1250/7390] lr: 1.000e-02, eta: 7:08:22, time: 0.506, data_time: 0.009, memory: 43091, loss_cls: 7.9012, losses_bboxes: 0.4768, loss: 8.3780 2022-09-29 07:02:39,092 - mmdet - INFO - Epoch [6][1300/7390] lr: 1.000e-02, eta: 7:07:56, time: 0.502, data_time: 0.010, memory: 43091, loss_cls: 7.8845, losses_bboxes: 0.4782, loss: 8.3627 2022-09-29 07:03:04,610 - mmdet - INFO - Epoch [6][1350/7390] lr: 1.000e-02, eta: 7:07:30, time: 0.511, data_time: 0.009, memory: 43091, loss_cls: 7.8873, losses_bboxes: 0.4781, loss: 8.3654 2022-09-29 07:03:30,052 - mmdet - INFO - Epoch [6][1400/7390] lr: 1.000e-02, eta: 7:07:05, time: 0.508, data_time: 0.009, memory: 43091, loss_cls: 7.8941, losses_bboxes: 0.4784, loss: 8.3725 2022-09-29 07:03:55,638 - mmdet - INFO - Epoch [6][1450/7390] lr: 1.000e-02, eta: 7:06:40, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.8917, losses_bboxes: 0.4780, loss: 8.3697 2022-09-29 07:04:21,083 - mmdet - INFO - Epoch [6][1500/7390] lr: 1.000e-02, eta: 7:06:14, time: 0.509, data_time: 0.009, memory: 43091, loss_cls: 7.8780, losses_bboxes: 0.4775, loss: 8.3555 2022-09-29 07:04:46,684 - mmdet - INFO - Epoch [6][1550/7390] lr: 1.000e-02, eta: 7:05:49, time: 0.510, data_time: 0.009, memory: 43091, loss_cls: 7.8836, losses_bboxes: 0.4770, loss: 8.3605 2022-09-29 07:05:12,165 - mmdet - INFO - Epoch [6][1600/7390] lr: 1.000e-02, eta: 7:05:23, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.8846, losses_bboxes: 0.4761, loss: 8.3607 2022-09-29 07:05:37,729 - mmdet - INFO - Epoch [6][1650/7390] lr: 1.000e-02, eta: 7:04:58, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.8890, losses_bboxes: 0.4780, loss: 8.3671 2022-09-29 07:06:03,268 - mmdet - INFO - Epoch [6][1700/7390] lr: 1.000e-02, eta: 7:04:33, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.8836, losses_bboxes: 0.4754, loss: 8.3590 2022-09-29 07:06:28,850 - mmdet - INFO - Epoch [6][1750/7390] lr: 1.000e-02, eta: 7:04:07, time: 0.511, data_time: 0.011, memory: 43091, loss_cls: 7.8923, losses_bboxes: 0.4764, loss: 8.3687 2022-09-29 07:06:54,265 - mmdet - INFO - Epoch [6][1800/7390] lr: 1.000e-02, eta: 7:03:42, time: 0.507, data_time: 0.010, memory: 43091, loss_cls: 7.8828, losses_bboxes: 0.4767, loss: 8.3596 2022-09-29 07:07:19,877 - mmdet - INFO - Epoch [6][1850/7390] lr: 1.000e-02, eta: 7:03:17, time: 0.515, data_time: 0.012, memory: 43091, loss_cls: 7.8945, losses_bboxes: 0.4770, loss: 8.3715 2022-09-29 07:07:44,977 - mmdet - INFO - Epoch [6][1900/7390] lr: 1.000e-02, eta: 7:02:51, time: 0.501, data_time: 0.009, memory: 43091, loss_cls: 7.8905, losses_bboxes: 0.4765, loss: 8.3670 2022-09-29 07:08:10,199 - mmdet - INFO - Epoch [6][1950/7390] lr: 1.000e-02, eta: 7:02:25, time: 0.505, data_time: 0.010, memory: 43091, loss_cls: 7.8748, losses_bboxes: 0.4774, loss: 8.3522 2022-09-29 07:08:36,054 - mmdet - INFO - Epoch [6][2000/7390] lr: 1.000e-02, eta: 7:02:00, time: 0.518, data_time: 0.010, memory: 43091, loss_cls: 7.8974, losses_bboxes: 0.4781, loss: 8.3755 2022-09-29 07:09:01,666 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 07:09:01,666 - mmdet - INFO - Epoch [6][2050/7390] lr: 1.000e-02, eta: 7:01:35, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.8807, losses_bboxes: 0.4758, loss: 8.3565 2022-09-29 07:09:27,462 - mmdet - INFO - Epoch [6][2100/7390] lr: 1.000e-02, eta: 7:01:10, time: 0.515, data_time: 0.008, memory: 43091, loss_cls: 7.8899, losses_bboxes: 0.4769, loss: 8.3668 2022-09-29 07:09:53,098 - mmdet - INFO - Epoch [6][2150/7390] lr: 1.000e-02, eta: 7:00:45, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8766, losses_bboxes: 0.4766, loss: 8.3531 2022-09-29 07:10:19,092 - mmdet - INFO - Epoch [6][2200/7390] lr: 1.000e-02, eta: 7:00:20, time: 0.519, data_time: 0.009, memory: 43091, loss_cls: 7.8926, losses_bboxes: 0.4785, loss: 8.3711 2022-09-29 07:10:44,538 - mmdet - INFO - Epoch [6][2250/7390] lr: 1.000e-02, eta: 6:59:54, time: 0.510, data_time: 0.010, memory: 43091, loss_cls: 7.8854, losses_bboxes: 0.4769, loss: 8.3623 2022-09-29 07:11:10,350 - mmdet - INFO - Epoch [6][2300/7390] lr: 1.000e-02, eta: 6:59:29, time: 0.516, data_time: 0.009, memory: 43091, loss_cls: 7.8879, losses_bboxes: 0.4774, loss: 8.3653 2022-09-29 07:11:35,762 - mmdet - INFO - Epoch [6][2350/7390] lr: 1.000e-02, eta: 6:59:04, time: 0.508, data_time: 0.010, memory: 43091, loss_cls: 7.8878, losses_bboxes: 0.4783, loss: 8.3661 2022-09-29 07:12:01,404 - mmdet - INFO - Epoch [6][2400/7390] lr: 1.000e-02, eta: 6:58:39, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8858, losses_bboxes: 0.4760, loss: 8.3617 2022-09-29 07:12:27,130 - mmdet - INFO - Epoch [6][2450/7390] lr: 1.000e-02, eta: 6:58:13, time: 0.513, data_time: 0.009, memory: 43091, loss_cls: 7.8874, losses_bboxes: 0.4776, loss: 8.3650 2022-09-29 07:12:52,411 - mmdet - INFO - Epoch [6][2500/7390] lr: 1.000e-02, eta: 6:57:48, time: 0.505, data_time: 0.010, memory: 43091, loss_cls: 7.8788, losses_bboxes: 0.4758, loss: 8.3546 2022-09-29 07:13:17,587 - mmdet - INFO - Epoch [6][2550/7390] lr: 1.000e-02, eta: 6:57:22, time: 0.506, data_time: 0.011, memory: 43091, loss_cls: 7.8822, losses_bboxes: 0.4756, loss: 8.3578 2022-09-29 07:13:43,478 - mmdet - INFO - Epoch [6][2600/7390] lr: 1.000e-02, eta: 6:56:57, time: 0.518, data_time: 0.009, memory: 43091, loss_cls: 7.8909, losses_bboxes: 0.4766, loss: 8.3676 2022-09-29 07:14:08,298 - mmdet - INFO - Epoch [6][2650/7390] lr: 1.000e-02, eta: 6:56:31, time: 0.496, data_time: 0.009, memory: 43091, loss_cls: 7.8911, losses_bboxes: 0.4773, loss: 8.3683 2022-09-29 07:14:33,597 - mmdet - INFO - Epoch [6][2700/7390] lr: 1.000e-02, eta: 6:56:05, time: 0.505, data_time: 0.009, memory: 43091, loss_cls: 7.8859, losses_bboxes: 0.4773, loss: 8.3631 2022-09-29 07:14:58,871 - mmdet - INFO - Epoch [6][2750/7390] lr: 1.000e-02, eta: 6:55:39, time: 0.505, data_time: 0.010, memory: 43091, loss_cls: 7.8869, losses_bboxes: 0.4779, loss: 8.3648 2022-09-29 07:15:24,466 - mmdet - INFO - Epoch [6][2800/7390] lr: 1.000e-02, eta: 6:55:14, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.8957, losses_bboxes: 0.4769, loss: 8.3726 2022-09-29 07:15:49,652 - mmdet - INFO - Epoch [6][2850/7390] lr: 1.000e-02, eta: 6:54:48, time: 0.504, data_time: 0.010, memory: 43091, loss_cls: 7.8863, losses_bboxes: 0.4770, loss: 8.3632 2022-09-29 07:16:15,119 - mmdet - INFO - Epoch [6][2900/7390] lr: 1.000e-02, eta: 6:54:23, time: 0.508, data_time: 0.009, memory: 43091, loss_cls: 7.8831, losses_bboxes: 0.4767, loss: 8.3597 2022-09-29 07:16:40,703 - mmdet - INFO - Epoch [6][2950/7390] lr: 1.000e-02, eta: 6:53:57, time: 0.511, data_time: 0.010, memory: 43091, loss_cls: 7.8827, losses_bboxes: 0.4783, loss: 8.3610 2022-09-29 07:17:06,481 - mmdet - INFO - Epoch [6][3000/7390] lr: 1.000e-02, eta: 6:53:32, time: 0.518, data_time: 0.011, memory: 43091, loss_cls: 7.8839, losses_bboxes: 0.4761, loss: 8.3599 2022-09-29 07:17:31,669 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 07:17:31,670 - mmdet - INFO - Epoch [6][3050/7390] lr: 1.000e-02, eta: 6:53:07, time: 0.503, data_time: 0.009, memory: 43091, loss_cls: 7.8859, losses_bboxes: 0.4773, loss: 8.3631 2022-09-29 07:17:57,281 - mmdet - INFO - Epoch [6][3100/7390] lr: 1.000e-02, eta: 6:52:41, time: 0.510, data_time: 0.009, memory: 43091, loss_cls: 7.8933, losses_bboxes: 0.4766, loss: 8.3699 2022-09-29 07:18:22,797 - mmdet - INFO - Epoch [6][3150/7390] lr: 1.000e-02, eta: 6:52:16, time: 0.513, data_time: 0.011, memory: 43091, loss_cls: 7.8821, losses_bboxes: 0.4762, loss: 8.3583 2022-09-29 07:18:48,491 - mmdet - INFO - Epoch [6][3200/7390] lr: 1.000e-02, eta: 6:51:51, time: 0.512, data_time: 0.009, memory: 43091, loss_cls: 7.8843, losses_bboxes: 0.4767, loss: 8.3610 2022-09-29 07:19:14,108 - mmdet - INFO - Epoch [6][3250/7390] lr: 1.000e-02, eta: 6:51:26, time: 0.514, data_time: 0.010, memory: 43091, loss_cls: 7.8934, losses_bboxes: 0.4781, loss: 8.3715 2022-09-29 07:19:39,139 - mmdet - INFO - Epoch [6][3300/7390] lr: 1.000e-02, eta: 6:50:59, time: 0.498, data_time: 0.010, memory: 43495, loss_cls: 7.8878, losses_bboxes: 0.4778, loss: 8.3656 2022-09-29 07:20:04,854 - mmdet - INFO - Epoch [6][3350/7390] lr: 1.000e-02, eta: 6:50:34, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8902, losses_bboxes: 0.4775, loss: 8.3676 2022-09-29 07:20:30,041 - mmdet - INFO - Epoch [6][3400/7390] lr: 1.000e-02, eta: 6:50:09, time: 0.505, data_time: 0.011, memory: 43495, loss_cls: 7.8860, losses_bboxes: 0.4767, loss: 8.3627 2022-09-29 07:20:55,908 - mmdet - INFO - Epoch [6][3450/7390] lr: 1.000e-02, eta: 6:49:43, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8835, losses_bboxes: 0.4761, loss: 8.3595 2022-09-29 07:21:21,857 - mmdet - INFO - Epoch [6][3500/7390] lr: 1.000e-02, eta: 6:49:19, time: 0.520, data_time: 0.011, memory: 43495, loss_cls: 7.8794, losses_bboxes: 0.4757, loss: 8.3551 2022-09-29 07:21:47,558 - mmdet - INFO - Epoch [6][3550/7390] lr: 1.000e-02, eta: 6:48:54, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8712, losses_bboxes: 0.4754, loss: 8.3465 2022-09-29 07:22:12,866 - mmdet - INFO - Epoch [6][3600/7390] lr: 1.000e-02, eta: 6:48:28, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8799, losses_bboxes: 0.4752, loss: 8.3550 2022-09-29 07:22:38,216 - mmdet - INFO - Epoch [6][3650/7390] lr: 1.000e-02, eta: 6:48:02, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8856, losses_bboxes: 0.4770, loss: 8.3625 2022-09-29 07:23:03,472 - mmdet - INFO - Epoch [6][3700/7390] lr: 1.000e-02, eta: 6:47:37, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8884, losses_bboxes: 0.4762, loss: 8.3646 2022-09-29 07:23:28,460 - mmdet - INFO - Epoch [6][3750/7390] lr: 1.000e-02, eta: 6:47:11, time: 0.500, data_time: 0.008, memory: 43495, loss_cls: 7.8860, losses_bboxes: 0.4790, loss: 8.3651 2022-09-29 07:23:53,978 - mmdet - INFO - Epoch [6][3800/7390] lr: 1.000e-02, eta: 6:46:45, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8739, losses_bboxes: 0.4779, loss: 8.3518 2022-09-29 07:24:19,687 - mmdet - INFO - Epoch [6][3850/7390] lr: 1.000e-02, eta: 6:46:20, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8760, losses_bboxes: 0.4753, loss: 8.3514 2022-09-29 07:24:45,102 - mmdet - INFO - Epoch [6][3900/7390] lr: 1.000e-02, eta: 6:45:55, time: 0.508, data_time: 0.008, memory: 43495, loss_cls: 7.8845, losses_bboxes: 0.4751, loss: 8.3597 2022-09-29 07:25:10,278 - mmdet - INFO - Epoch [6][3950/7390] lr: 1.000e-02, eta: 6:45:29, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8903, losses_bboxes: 0.4749, loss: 8.3653 2022-09-29 07:25:35,939 - mmdet - INFO - Epoch [6][4000/7390] lr: 1.000e-02, eta: 6:45:04, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8858, losses_bboxes: 0.4763, loss: 8.3621 2022-09-29 07:26:01,412 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 07:26:01,413 - mmdet - INFO - Epoch [6][4050/7390] lr: 1.000e-02, eta: 6:44:38, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8832, losses_bboxes: 0.4774, loss: 8.3606 2022-09-29 07:26:26,974 - mmdet - INFO - Epoch [6][4100/7390] lr: 1.000e-02, eta: 6:44:13, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8876, losses_bboxes: 0.4780, loss: 8.3656 2022-09-29 07:26:51,945 - mmdet - INFO - Epoch [6][4150/7390] lr: 1.000e-02, eta: 6:43:47, time: 0.500, data_time: 0.009, memory: 43495, loss_cls: 7.8879, losses_bboxes: 0.4782, loss: 8.3661 2022-09-29 07:27:16,984 - mmdet - INFO - Epoch [6][4200/7390] lr: 1.000e-02, eta: 6:43:21, time: 0.501, data_time: 0.008, memory: 43495, loss_cls: 7.8825, losses_bboxes: 0.4767, loss: 8.3592 2022-09-29 07:27:42,694 - mmdet - INFO - Epoch [6][4250/7390] lr: 1.000e-02, eta: 6:42:56, time: 0.513, data_time: 0.008, memory: 43495, loss_cls: 7.8924, losses_bboxes: 0.4771, loss: 8.3694 2022-09-29 07:28:08,952 - mmdet - INFO - Epoch [6][4300/7390] lr: 1.000e-02, eta: 6:42:31, time: 0.525, data_time: 0.012, memory: 43495, loss_cls: 7.8827, losses_bboxes: 0.4775, loss: 8.3602 2022-09-29 07:28:34,098 - mmdet - INFO - Epoch [6][4350/7390] lr: 1.000e-02, eta: 6:42:05, time: 0.504, data_time: 0.011, memory: 43495, loss_cls: 7.8888, losses_bboxes: 0.4774, loss: 8.3662 2022-09-29 07:28:59,939 - mmdet - INFO - Epoch [6][4400/7390] lr: 1.000e-02, eta: 6:41:40, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8794, losses_bboxes: 0.4755, loss: 8.3549 2022-09-29 07:29:25,648 - mmdet - INFO - Epoch [6][4450/7390] lr: 1.000e-02, eta: 6:41:15, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8854, losses_bboxes: 0.4762, loss: 8.3616 2022-09-29 07:29:51,405 - mmdet - INFO - Epoch [6][4500/7390] lr: 1.000e-02, eta: 6:40:50, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8821, losses_bboxes: 0.4751, loss: 8.3572 2022-09-29 07:30:17,106 - mmdet - INFO - Epoch [6][4550/7390] lr: 1.000e-02, eta: 6:40:25, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8884, losses_bboxes: 0.4753, loss: 8.3636 2022-09-29 07:30:42,752 - mmdet - INFO - Epoch [6][4600/7390] lr: 1.000e-02, eta: 6:40:00, time: 0.513, data_time: 0.008, memory: 43495, loss_cls: 7.8814, losses_bboxes: 0.4761, loss: 8.3575 2022-09-29 07:31:08,311 - mmdet - INFO - Epoch [6][4650/7390] lr: 1.000e-02, eta: 6:39:34, time: 0.510, data_time: 0.008, memory: 43495, loss_cls: 7.8789, losses_bboxes: 0.4768, loss: 8.3556 2022-09-29 07:31:34,031 - mmdet - INFO - Epoch [6][4700/7390] lr: 1.000e-02, eta: 6:39:09, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8845, losses_bboxes: 0.4776, loss: 8.3621 2022-09-29 07:31:59,514 - mmdet - INFO - Epoch [6][4750/7390] lr: 1.000e-02, eta: 6:38:43, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8810, losses_bboxes: 0.4772, loss: 8.3582 2022-09-29 07:32:25,153 - mmdet - INFO - Epoch [6][4800/7390] lr: 1.000e-02, eta: 6:38:18, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8766, losses_bboxes: 0.4757, loss: 8.3522 2022-09-29 07:32:50,316 - mmdet - INFO - Epoch [6][4850/7390] lr: 1.000e-02, eta: 6:37:52, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8802, losses_bboxes: 0.4759, loss: 8.3560 2022-09-29 07:33:15,521 - mmdet - INFO - Epoch [6][4900/7390] lr: 1.000e-02, eta: 6:37:27, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8790, losses_bboxes: 0.4773, loss: 8.3563 2022-09-29 07:33:41,033 - mmdet - INFO - Epoch [6][4950/7390] lr: 1.000e-02, eta: 6:37:01, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8895, losses_bboxes: 0.4781, loss: 8.3676 2022-09-29 07:34:06,877 - mmdet - INFO - Epoch [6][5000/7390] lr: 1.000e-02, eta: 6:36:36, time: 0.515, data_time: 0.008, memory: 43495, loss_cls: 7.8804, losses_bboxes: 0.4769, loss: 8.3573 2022-09-29 07:34:32,443 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 07:34:32,443 - mmdet - INFO - Epoch [6][5050/7390] lr: 1.000e-02, eta: 6:36:11, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8890, losses_bboxes: 0.4770, loss: 8.3660 2022-09-29 07:34:58,079 - mmdet - INFO - Epoch [6][5100/7390] lr: 1.000e-02, eta: 6:35:46, time: 0.512, data_time: 0.008, memory: 43495, loss_cls: 7.8825, losses_bboxes: 0.4777, loss: 8.3602 2022-09-29 07:35:23,718 - mmdet - INFO - Epoch [6][5150/7390] lr: 1.000e-02, eta: 6:35:20, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8833, losses_bboxes: 0.4773, loss: 8.3606 2022-09-29 07:35:49,903 - mmdet - INFO - Epoch [6][5200/7390] lr: 1.000e-02, eta: 6:34:56, time: 0.523, data_time: 0.009, memory: 43495, loss_cls: 7.8866, losses_bboxes: 0.4791, loss: 8.3657 2022-09-29 07:36:15,166 - mmdet - INFO - Epoch [6][5250/7390] lr: 1.000e-02, eta: 6:34:30, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8789, losses_bboxes: 0.4750, loss: 8.3539 2022-09-29 07:36:40,787 - mmdet - INFO - Epoch [6][5300/7390] lr: 1.000e-02, eta: 6:34:05, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8967, losses_bboxes: 0.4768, loss: 8.3735 2022-09-29 07:37:06,133 - mmdet - INFO - Epoch [6][5350/7390] lr: 1.000e-02, eta: 6:33:39, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8873, losses_bboxes: 0.4778, loss: 8.3651 2022-09-29 07:37:31,803 - mmdet - INFO - Epoch [6][5400/7390] lr: 1.000e-02, eta: 6:33:14, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8860, losses_bboxes: 0.4761, loss: 8.3620 2022-09-29 07:37:57,085 - mmdet - INFO - Epoch [6][5450/7390] lr: 1.000e-02, eta: 6:32:48, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8814, losses_bboxes: 0.4768, loss: 8.3582 2022-09-29 07:38:22,167 - mmdet - INFO - Epoch [6][5500/7390] lr: 1.000e-02, eta: 6:32:22, time: 0.500, data_time: 0.008, memory: 43495, loss_cls: 7.8854, losses_bboxes: 0.4758, loss: 8.3612 2022-09-29 07:38:47,894 - mmdet - INFO - Epoch [6][5550/7390] lr: 1.000e-02, eta: 6:31:57, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8996, losses_bboxes: 0.4767, loss: 8.3763 2022-09-29 07:39:13,225 - mmdet - INFO - Epoch [6][5600/7390] lr: 1.000e-02, eta: 6:31:32, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8830, losses_bboxes: 0.4756, loss: 8.3586 2022-09-29 07:39:39,277 - mmdet - INFO - Epoch [6][5650/7390] lr: 1.000e-02, eta: 6:31:07, time: 0.522, data_time: 0.010, memory: 43495, loss_cls: 7.8809, losses_bboxes: 0.4761, loss: 8.3570 2022-09-29 07:40:05,193 - mmdet - INFO - Epoch [6][5700/7390] lr: 1.000e-02, eta: 6:30:42, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8893, losses_bboxes: 0.4754, loss: 8.3646 2022-09-29 07:40:30,742 - mmdet - INFO - Epoch [6][5750/7390] lr: 1.000e-02, eta: 6:30:16, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8822, losses_bboxes: 0.4770, loss: 8.3592 2022-09-29 07:40:56,560 - mmdet - INFO - Epoch [6][5800/7390] lr: 1.000e-02, eta: 6:29:51, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8978, losses_bboxes: 0.4769, loss: 8.3747 2022-09-29 07:41:21,903 - mmdet - INFO - Epoch [6][5850/7390] lr: 1.000e-02, eta: 6:29:26, time: 0.506, data_time: 0.008, memory: 43495, loss_cls: 7.8812, losses_bboxes: 0.4756, loss: 8.3568 2022-09-29 07:41:47,914 - mmdet - INFO - Epoch [6][5900/7390] lr: 1.000e-02, eta: 6:29:01, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8982, losses_bboxes: 0.4777, loss: 8.3758 2022-09-29 07:42:13,756 - mmdet - INFO - Epoch [6][5950/7390] lr: 1.000e-02, eta: 6:28:36, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8815, losses_bboxes: 0.4767, loss: 8.3582 2022-09-29 07:42:39,069 - mmdet - INFO - Epoch [6][6000/7390] lr: 1.000e-02, eta: 6:28:10, time: 0.505, data_time: 0.008, memory: 43495, loss_cls: 7.8727, losses_bboxes: 0.4740, loss: 8.3466 2022-09-29 07:43:04,401 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 07:43:04,401 - mmdet - INFO - Epoch [6][6050/7390] lr: 1.000e-02, eta: 6:27:45, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8786, losses_bboxes: 0.4768, loss: 8.3553 2022-09-29 07:43:29,844 - mmdet - INFO - Epoch [6][6100/7390] lr: 1.000e-02, eta: 6:27:19, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8789, losses_bboxes: 0.4756, loss: 8.3545 2022-09-29 07:43:55,653 - mmdet - INFO - Epoch [6][6150/7390] lr: 1.000e-02, eta: 6:26:54, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8814, losses_bboxes: 0.4776, loss: 8.3590 2022-09-29 07:44:21,168 - mmdet - INFO - Epoch [6][6200/7390] lr: 1.000e-02, eta: 6:26:29, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8839, losses_bboxes: 0.4747, loss: 8.3586 2022-09-29 07:44:46,343 - mmdet - INFO - Epoch [6][6250/7390] lr: 1.000e-02, eta: 6:26:03, time: 0.503, data_time: 0.008, memory: 43495, loss_cls: 7.8797, losses_bboxes: 0.4759, loss: 8.3557 2022-09-29 07:45:11,749 - mmdet - INFO - Epoch [6][6300/7390] lr: 1.000e-02, eta: 6:25:37, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8797, losses_bboxes: 0.4768, loss: 8.3565 2022-09-29 07:45:37,382 - mmdet - INFO - Epoch [6][6350/7390] lr: 1.000e-02, eta: 6:25:12, time: 0.515, data_time: 0.011, memory: 43495, loss_cls: 7.8877, losses_bboxes: 0.4746, loss: 8.3623 2022-09-29 07:46:02,624 - mmdet - INFO - Epoch [6][6400/7390] lr: 1.000e-02, eta: 6:24:46, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8757, losses_bboxes: 0.4756, loss: 8.3513 2022-09-29 07:46:28,359 - mmdet - INFO - Epoch [6][6450/7390] lr: 1.000e-02, eta: 6:24:21, time: 0.511, data_time: 0.008, memory: 43495, loss_cls: 7.8794, losses_bboxes: 0.4757, loss: 8.3551 2022-09-29 07:46:53,768 - mmdet - INFO - Epoch [6][6500/7390] lr: 1.000e-02, eta: 6:23:56, time: 0.511, data_time: 0.012, memory: 43495, loss_cls: 7.8860, losses_bboxes: 0.4758, loss: 8.3618 2022-09-29 07:47:18,842 - mmdet - INFO - Epoch [6][6550/7390] lr: 1.000e-02, eta: 6:23:30, time: 0.501, data_time: 0.009, memory: 43495, loss_cls: 7.8745, losses_bboxes: 0.4757, loss: 8.3502 2022-09-29 07:47:44,454 - mmdet - INFO - Epoch [6][6600/7390] lr: 1.000e-02, eta: 6:23:04, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8947, losses_bboxes: 0.4764, loss: 8.3711 2022-09-29 07:48:10,170 - mmdet - INFO - Epoch [6][6650/7390] lr: 1.000e-02, eta: 6:22:39, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8835, losses_bboxes: 0.4746, loss: 8.3581 2022-09-29 07:48:35,374 - mmdet - INFO - Epoch [6][6700/7390] lr: 1.000e-02, eta: 6:22:13, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8858, losses_bboxes: 0.4747, loss: 8.3605 2022-09-29 07:49:01,019 - mmdet - INFO - Epoch [6][6750/7390] lr: 1.000e-02, eta: 6:21:48, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8721, losses_bboxes: 0.4765, loss: 8.3486 2022-09-29 07:49:26,131 - mmdet - INFO - Epoch [6][6800/7390] lr: 1.000e-02, eta: 6:21:22, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8811, losses_bboxes: 0.4753, loss: 8.3565 2022-09-29 07:49:51,803 - mmdet - INFO - Epoch [6][6850/7390] lr: 1.000e-02, eta: 6:20:57, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8869, losses_bboxes: 0.4749, loss: 8.3618 2022-09-29 07:50:16,557 - mmdet - INFO - Epoch [6][6900/7390] lr: 1.000e-02, eta: 6:20:31, time: 0.495, data_time: 0.009, memory: 43495, loss_cls: 7.8938, losses_bboxes: 0.4762, loss: 8.3700 2022-09-29 07:50:41,632 - mmdet - INFO - Epoch [6][6950/7390] lr: 1.000e-02, eta: 6:20:05, time: 0.501, data_time: 0.009, memory: 43495, loss_cls: 7.8845, losses_bboxes: 0.4761, loss: 8.3606 2022-09-29 07:51:07,296 - mmdet - INFO - Epoch [6][7000/7390] lr: 1.000e-02, eta: 6:19:40, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8847, losses_bboxes: 0.4763, loss: 8.3610 2022-09-29 07:51:32,461 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 07:51:32,462 - mmdet - INFO - Epoch [6][7050/7390] lr: 1.000e-02, eta: 6:19:14, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8833, losses_bboxes: 0.4779, loss: 8.3612 2022-09-29 07:51:58,299 - mmdet - INFO - Epoch [6][7100/7390] lr: 1.000e-02, eta: 6:18:49, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8764, losses_bboxes: 0.4744, loss: 8.3508 2022-09-29 07:52:23,462 - mmdet - INFO - Epoch [6][7150/7390] lr: 1.000e-02, eta: 6:18:23, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8947, losses_bboxes: 0.4754, loss: 8.3701 2022-09-29 07:52:48,980 - mmdet - INFO - Epoch [6][7200/7390] lr: 1.000e-02, eta: 6:17:58, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8769, losses_bboxes: 0.4769, loss: 8.3538 2022-09-29 07:53:14,900 - mmdet - INFO - Epoch [6][7250/7390] lr: 1.000e-02, eta: 6:17:33, time: 0.519, data_time: 0.010, memory: 43495, loss_cls: 7.8761, losses_bboxes: 0.4774, loss: 8.3535 2022-09-29 07:53:40,407 - mmdet - INFO - Epoch [6][7300/7390] lr: 1.000e-02, eta: 6:17:07, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8819, losses_bboxes: 0.4737, loss: 8.3555 2022-09-29 07:54:06,178 - mmdet - INFO - Epoch [6][7350/7390] lr: 1.000e-02, eta: 6:16:42, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8909, losses_bboxes: 0.4772, loss: 8.3680 2022-09-29 07:54:26,652 - mmdet - INFO - Saving checkpoint at 6 epochs 2022-09-29 07:54:56,271 - mmdet - INFO - Epoch [7][50/7390] lr: 1.000e-02, eta: 6:15:39, time: 0.568, data_time: 0.070, memory: 43495, loss_cls: 7.8838, losses_bboxes: 0.4761, loss: 8.3599 2022-09-29 07:55:21,755 - mmdet - INFO - Epoch [7][100/7390] lr: 1.000e-02, eta: 6:15:14, time: 0.511, data_time: 0.012, memory: 43495, loss_cls: 7.8746, losses_bboxes: 0.4755, loss: 8.3501 2022-09-29 07:55:47,868 - mmdet - INFO - Epoch [7][150/7390] lr: 1.000e-02, eta: 6:14:49, time: 0.523, data_time: 0.010, memory: 43495, loss_cls: 7.8673, losses_bboxes: 0.4762, loss: 8.3435 2022-09-29 07:56:13,379 - mmdet - INFO - Epoch [7][200/7390] lr: 1.000e-02, eta: 6:14:24, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8910, losses_bboxes: 0.4749, loss: 8.3660 2022-09-29 07:56:38,837 - mmdet - INFO - Epoch [7][250/7390] lr: 1.000e-02, eta: 6:13:58, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8718, losses_bboxes: 0.4744, loss: 8.3462 2022-09-29 07:57:04,253 - mmdet - INFO - Epoch [7][300/7390] lr: 1.000e-02, eta: 6:13:33, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8845, losses_bboxes: 0.4746, loss: 8.3591 2022-09-29 07:57:29,960 - mmdet - INFO - Epoch [7][350/7390] lr: 1.000e-02, eta: 6:13:07, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8950, losses_bboxes: 0.4762, loss: 8.3712 2022-09-29 07:57:55,597 - mmdet - INFO - Epoch [7][400/7390] lr: 1.000e-02, eta: 6:12:42, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8754, losses_bboxes: 0.4742, loss: 8.3496 2022-09-29 07:58:21,046 - mmdet - INFO - Epoch [7][450/7390] lr: 1.000e-02, eta: 6:12:17, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8853, losses_bboxes: 0.4766, loss: 8.3619 2022-09-29 07:58:46,583 - mmdet - INFO - Epoch [7][500/7390] lr: 1.000e-02, eta: 6:11:51, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8794, losses_bboxes: 0.4780, loss: 8.3574 2022-09-29 07:59:12,601 - mmdet - INFO - Epoch [7][550/7390] lr: 1.000e-02, eta: 6:11:26, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8773, losses_bboxes: 0.4763, loss: 8.3536 2022-09-29 07:59:37,825 - mmdet - INFO - Epoch [7][600/7390] lr: 1.000e-02, eta: 6:11:01, time: 0.505, data_time: 0.011, memory: 43495, loss_cls: 7.8825, losses_bboxes: 0.4739, loss: 8.3564 2022-09-29 08:00:04,015 - mmdet - INFO - Epoch [7][650/7390] lr: 1.000e-02, eta: 6:10:36, time: 0.525, data_time: 0.010, memory: 43495, loss_cls: 7.8923, losses_bboxes: 0.4746, loss: 8.3669 2022-09-29 08:00:29,986 - mmdet - INFO - Epoch [7][700/7390] lr: 1.000e-02, eta: 6:10:11, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8880, losses_bboxes: 0.4760, loss: 8.3641 2022-09-29 08:00:55,855 - mmdet - INFO - Epoch [7][750/7390] lr: 1.000e-02, eta: 6:09:46, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8887, losses_bboxes: 0.4757, loss: 8.3644 2022-09-29 08:01:21,697 - mmdet - INFO - Epoch [7][800/7390] lr: 1.000e-02, eta: 6:09:21, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8830, losses_bboxes: 0.4740, loss: 8.3570 2022-09-29 08:01:46,948 - mmdet - INFO - Epoch [7][850/7390] lr: 1.000e-02, eta: 6:08:55, time: 0.505, data_time: 0.011, memory: 43495, loss_cls: 7.8732, losses_bboxes: 0.4747, loss: 8.3479 2022-09-29 08:02:12,517 - mmdet - INFO - Epoch [7][900/7390] lr: 1.000e-02, eta: 6:08:30, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8895, losses_bboxes: 0.4753, loss: 8.3648 2022-09-29 08:02:37,912 - mmdet - INFO - Epoch [7][950/7390] lr: 1.000e-02, eta: 6:08:04, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8803, losses_bboxes: 0.4730, loss: 8.3533 2022-09-29 08:03:03,587 - mmdet - INFO - Epoch [7][1000/7390] lr: 1.000e-02, eta: 6:07:39, time: 0.516, data_time: 0.012, memory: 43495, loss_cls: 7.8763, losses_bboxes: 0.4753, loss: 8.3516 2022-09-29 08:03:29,179 - mmdet - INFO - Epoch [7][1050/7390] lr: 1.000e-02, eta: 6:07:14, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8842, losses_bboxes: 0.4763, loss: 8.3606 2022-09-29 08:03:54,807 - mmdet - INFO - Epoch [7][1100/7390] lr: 1.000e-02, eta: 6:06:49, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8818, losses_bboxes: 0.4772, loss: 8.3591 2022-09-29 08:04:20,323 - mmdet - INFO - Epoch [7][1150/7390] lr: 1.000e-02, eta: 6:06:23, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8807, losses_bboxes: 0.4774, loss: 8.3581 2022-09-29 08:04:45,826 - mmdet - INFO - Epoch [7][1200/7390] lr: 1.000e-02, eta: 6:05:58, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8801, losses_bboxes: 0.4757, loss: 8.3558 2022-09-29 08:05:11,153 - mmdet - INFO - Epoch [7][1250/7390] lr: 1.000e-02, eta: 6:05:32, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8885, losses_bboxes: 0.4751, loss: 8.3636 2022-09-29 08:05:36,324 - mmdet - INFO - Epoch [7][1300/7390] lr: 1.000e-02, eta: 6:05:07, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8793, losses_bboxes: 0.4760, loss: 8.3554 2022-09-29 08:06:01,172 - mmdet - INFO - Epoch [7][1350/7390] lr: 1.000e-02, eta: 6:04:41, time: 0.497, data_time: 0.010, memory: 43495, loss_cls: 7.8878, losses_bboxes: 0.4735, loss: 8.3613 2022-09-29 08:06:26,556 - mmdet - INFO - Epoch [7][1400/7390] lr: 1.000e-02, eta: 6:04:15, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8756, losses_bboxes: 0.4750, loss: 8.3505 2022-09-29 08:06:52,096 - mmdet - INFO - Epoch [7][1450/7390] lr: 1.000e-02, eta: 6:03:50, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8838, losses_bboxes: 0.4765, loss: 8.3603 2022-09-29 08:07:17,318 - mmdet - INFO - Epoch [7][1500/7390] lr: 1.000e-02, eta: 6:03:24, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8782, losses_bboxes: 0.4759, loss: 8.3540 2022-09-29 08:07:42,907 - mmdet - INFO - Epoch [7][1550/7390] lr: 1.000e-02, eta: 6:02:59, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8843, losses_bboxes: 0.4755, loss: 8.3598 2022-09-29 08:08:08,242 - mmdet - INFO - Epoch [7][1600/7390] lr: 1.000e-02, eta: 6:02:33, time: 0.504, data_time: 0.008, memory: 43495, loss_cls: 7.8834, losses_bboxes: 0.4758, loss: 8.3592 2022-09-29 08:08:33,672 - mmdet - INFO - Epoch [7][1650/7390] lr: 1.000e-02, eta: 6:02:08, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8733, losses_bboxes: 0.4749, loss: 8.3482 2022-09-29 08:08:58,874 - mmdet - INFO - Epoch [7][1700/7390] lr: 1.000e-02, eta: 6:01:42, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8824, losses_bboxes: 0.4759, loss: 8.3584 2022-09-29 08:09:23,585 - mmdet - INFO - Epoch [7][1750/7390] lr: 1.000e-02, eta: 6:01:16, time: 0.494, data_time: 0.009, memory: 43495, loss_cls: 7.8823, losses_bboxes: 0.4751, loss: 8.3575 2022-09-29 08:09:49,323 - mmdet - INFO - Epoch [7][1800/7390] lr: 1.000e-02, eta: 6:00:51, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8812, losses_bboxes: 0.4752, loss: 8.3564 2022-09-29 08:10:14,319 - mmdet - INFO - Epoch [7][1850/7390] lr: 1.000e-02, eta: 6:00:25, time: 0.500, data_time: 0.010, memory: 43495, loss_cls: 7.8801, losses_bboxes: 0.4749, loss: 8.3550 2022-09-29 08:10:39,996 - mmdet - INFO - Epoch [7][1900/7390] lr: 1.000e-02, eta: 6:00:00, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8848, losses_bboxes: 0.4755, loss: 8.3603 2022-09-29 08:11:05,719 - mmdet - INFO - Epoch [7][1950/7390] lr: 1.000e-02, eta: 5:59:34, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8866, losses_bboxes: 0.4743, loss: 8.3609 2022-09-29 08:11:31,236 - mmdet - INFO - Epoch [7][2000/7390] lr: 1.000e-02, eta: 5:59:09, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8864, losses_bboxes: 0.4732, loss: 8.3597 2022-09-29 08:11:56,717 - mmdet - INFO - Epoch [7][2050/7390] lr: 1.000e-02, eta: 5:58:44, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8764, losses_bboxes: 0.4759, loss: 8.3523 2022-09-29 08:12:22,150 - mmdet - INFO - Epoch [7][2100/7390] lr: 1.000e-02, eta: 5:58:18, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8957, losses_bboxes: 0.4749, loss: 8.3707 2022-09-29 08:12:47,853 - mmdet - INFO - Epoch [7][2150/7390] lr: 1.000e-02, eta: 5:57:53, time: 0.515, data_time: 0.011, memory: 43495, loss_cls: 7.8767, losses_bboxes: 0.4756, loss: 8.3522 2022-09-29 08:13:13,071 - mmdet - INFO - Epoch [7][2200/7390] lr: 1.000e-02, eta: 5:57:27, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8792, losses_bboxes: 0.4735, loss: 8.3527 2022-09-29 08:13:38,815 - mmdet - INFO - Epoch [7][2250/7390] lr: 1.000e-02, eta: 5:57:02, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8833, losses_bboxes: 0.4753, loss: 8.3586 2022-09-29 08:14:04,452 - mmdet - INFO - Epoch [7][2300/7390] lr: 1.000e-02, eta: 5:56:37, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8731, losses_bboxes: 0.4732, loss: 8.3463 2022-09-29 08:14:30,186 - mmdet - INFO - Epoch [7][2350/7390] lr: 1.000e-02, eta: 5:56:12, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8852, losses_bboxes: 0.4748, loss: 8.3600 2022-09-29 08:14:55,621 - mmdet - INFO - Epoch [7][2400/7390] lr: 1.000e-02, eta: 5:55:46, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8950, losses_bboxes: 0.4770, loss: 8.3720 2022-09-29 08:15:21,200 - mmdet - INFO - Epoch [7][2450/7390] lr: 1.000e-02, eta: 5:55:21, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8929, losses_bboxes: 0.4744, loss: 8.3673 2022-09-29 08:15:46,850 - mmdet - INFO - Epoch [7][2500/7390] lr: 1.000e-02, eta: 5:54:56, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8871, losses_bboxes: 0.4753, loss: 8.3624 2022-09-29 08:16:11,829 - mmdet - INFO - Epoch [7][2550/7390] lr: 1.000e-02, eta: 5:54:30, time: 0.501, data_time: 0.010, memory: 43495, loss_cls: 7.8801, losses_bboxes: 0.4735, loss: 8.3536 2022-09-29 08:16:36,813 - mmdet - INFO - Epoch [7][2600/7390] lr: 1.000e-02, eta: 5:54:04, time: 0.500, data_time: 0.010, memory: 43495, loss_cls: 7.8727, losses_bboxes: 0.4744, loss: 8.3471 2022-09-29 08:17:02,709 - mmdet - INFO - Epoch [7][2650/7390] lr: 1.000e-02, eta: 5:53:39, time: 0.517, data_time: 0.009, memory: 43495, loss_cls: 7.8813, losses_bboxes: 0.4770, loss: 8.3583 2022-09-29 08:17:28,451 - mmdet - INFO - Epoch [7][2700/7390] lr: 1.000e-02, eta: 5:53:14, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8764, losses_bboxes: 0.4745, loss: 8.3509 2022-09-29 08:17:54,168 - mmdet - INFO - Epoch [7][2750/7390] lr: 1.000e-02, eta: 5:52:48, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8916, losses_bboxes: 0.4751, loss: 8.3667 2022-09-29 08:18:19,948 - mmdet - INFO - Epoch [7][2800/7390] lr: 1.000e-02, eta: 5:52:23, time: 0.515, data_time: 0.011, memory: 43495, loss_cls: 7.8729, losses_bboxes: 0.4745, loss: 8.3474 2022-09-29 08:18:45,420 - mmdet - INFO - Epoch [7][2850/7390] lr: 1.000e-02, eta: 5:51:58, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8821, losses_bboxes: 0.4749, loss: 8.3570 2022-09-29 08:19:11,067 - mmdet - INFO - Epoch [7][2900/7390] lr: 1.000e-02, eta: 5:51:33, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8762, losses_bboxes: 0.4744, loss: 8.3506 2022-09-29 08:19:36,614 - mmdet - INFO - Epoch [7][2950/7390] lr: 1.000e-02, eta: 5:51:07, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8782, losses_bboxes: 0.4735, loss: 8.3517 2022-09-29 08:20:02,194 - mmdet - INFO - Epoch [7][3000/7390] lr: 1.000e-02, eta: 5:50:42, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8907, losses_bboxes: 0.4748, loss: 8.3655 2022-09-29 08:20:27,740 - mmdet - INFO - Epoch [7][3050/7390] lr: 1.000e-02, eta: 5:50:16, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8884, losses_bboxes: 0.4753, loss: 8.3637 2022-09-29 08:20:53,269 - mmdet - INFO - Epoch [7][3100/7390] lr: 1.000e-02, eta: 5:49:51, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8907, losses_bboxes: 0.4759, loss: 8.3666 2022-09-29 08:21:18,626 - mmdet - INFO - Epoch [7][3150/7390] lr: 1.000e-02, eta: 5:49:25, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8784, losses_bboxes: 0.4752, loss: 8.3536 2022-09-29 08:21:43,974 - mmdet - INFO - Epoch [7][3200/7390] lr: 1.000e-02, eta: 5:49:00, time: 0.506, data_time: 0.011, memory: 43495, loss_cls: 7.8643, losses_bboxes: 0.4749, loss: 8.3392 2022-09-29 08:22:09,412 - mmdet - INFO - Epoch [7][3250/7390] lr: 1.000e-02, eta: 5:48:35, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8878, losses_bboxes: 0.4737, loss: 8.3615 2022-09-29 08:22:34,807 - mmdet - INFO - Epoch [7][3300/7390] lr: 1.000e-02, eta: 5:48:09, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8924, losses_bboxes: 0.4748, loss: 8.3672 2022-09-29 08:23:00,747 - mmdet - INFO - Epoch [7][3350/7390] lr: 1.000e-02, eta: 5:47:44, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8806, losses_bboxes: 0.4745, loss: 8.3551 2022-09-29 08:23:25,947 - mmdet - INFO - Epoch [7][3400/7390] lr: 1.000e-02, eta: 5:47:18, time: 0.506, data_time: 0.011, memory: 43495, loss_cls: 7.8827, losses_bboxes: 0.4765, loss: 8.3592 2022-09-29 08:23:51,980 - mmdet - INFO - Epoch [7][3450/7390] lr: 1.000e-02, eta: 5:46:53, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8744, losses_bboxes: 0.4747, loss: 8.3491 2022-09-29 08:24:17,837 - mmdet - INFO - Epoch [7][3500/7390] lr: 1.000e-02, eta: 5:46:28, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8996, losses_bboxes: 0.4736, loss: 8.3733 2022-09-29 08:24:43,693 - mmdet - INFO - Epoch [7][3550/7390] lr: 1.000e-02, eta: 5:46:03, time: 0.517, data_time: 0.009, memory: 43495, loss_cls: 7.8779, losses_bboxes: 0.4750, loss: 8.3529 2022-09-29 08:25:09,327 - mmdet - INFO - Epoch [7][3600/7390] lr: 1.000e-02, eta: 5:45:38, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8809, losses_bboxes: 0.4740, loss: 8.3549 2022-09-29 08:25:34,871 - mmdet - INFO - Epoch [7][3650/7390] lr: 1.000e-02, eta: 5:45:12, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8862, losses_bboxes: 0.4758, loss: 8.3620 2022-09-29 08:26:00,637 - mmdet - INFO - Epoch [7][3700/7390] lr: 1.000e-02, eta: 5:44:47, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8680, losses_bboxes: 0.4750, loss: 8.3431 2022-09-29 08:26:26,128 - mmdet - INFO - Epoch [7][3750/7390] lr: 1.000e-02, eta: 5:44:22, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8814, losses_bboxes: 0.4735, loss: 8.3549 2022-09-29 08:26:51,708 - mmdet - INFO - Epoch [7][3800/7390] lr: 1.000e-02, eta: 5:43:57, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8781, losses_bboxes: 0.4757, loss: 8.3538 2022-09-29 08:27:17,445 - mmdet - INFO - Epoch [7][3850/7390] lr: 1.000e-02, eta: 5:43:31, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8811, losses_bboxes: 0.4747, loss: 8.3558 2022-09-29 08:27:43,078 - mmdet - INFO - Epoch [7][3900/7390] lr: 1.000e-02, eta: 5:43:06, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8764, losses_bboxes: 0.4750, loss: 8.3514 2022-09-29 08:28:08,701 - mmdet - INFO - Epoch [7][3950/7390] lr: 1.000e-02, eta: 5:42:41, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8807, losses_bboxes: 0.4748, loss: 8.3555 2022-09-29 08:28:34,067 - mmdet - INFO - Epoch [7][4000/7390] lr: 1.000e-02, eta: 5:42:15, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8743, losses_bboxes: 0.4744, loss: 8.3486 2022-09-29 08:28:59,480 - mmdet - INFO - Epoch [7][4050/7390] lr: 1.000e-02, eta: 5:41:50, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8860, losses_bboxes: 0.4726, loss: 8.3586 2022-09-29 08:29:24,550 - mmdet - INFO - Epoch [7][4100/7390] lr: 1.000e-02, eta: 5:41:24, time: 0.503, data_time: 0.011, memory: 43495, loss_cls: 7.8819, losses_bboxes: 0.4739, loss: 8.3557 2022-09-29 08:29:49,895 - mmdet - INFO - Epoch [7][4150/7390] lr: 1.000e-02, eta: 5:40:58, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8835, losses_bboxes: 0.4756, loss: 8.3591 2022-09-29 08:30:14,859 - mmdet - INFO - Epoch [7][4200/7390] lr: 1.000e-02, eta: 5:40:33, time: 0.499, data_time: 0.010, memory: 43495, loss_cls: 7.8721, losses_bboxes: 0.4729, loss: 8.3450 2022-09-29 08:30:41,070 - mmdet - INFO - Epoch [7][4250/7390] lr: 1.000e-02, eta: 5:40:08, time: 0.523, data_time: 0.010, memory: 43495, loss_cls: 7.8850, losses_bboxes: 0.4758, loss: 8.3609 2022-09-29 08:31:06,472 - mmdet - INFO - Epoch [7][4300/7390] lr: 1.000e-02, eta: 5:39:42, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8749, losses_bboxes: 0.4748, loss: 8.3497 2022-09-29 08:31:31,930 - mmdet - INFO - Epoch [7][4350/7390] lr: 1.000e-02, eta: 5:39:17, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8787, losses_bboxes: 0.4747, loss: 8.3534 2022-09-29 08:31:57,678 - mmdet - INFO - Epoch [7][4400/7390] lr: 1.000e-02, eta: 5:38:52, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8703, losses_bboxes: 0.4749, loss: 8.3452 2022-09-29 08:32:23,234 - mmdet - INFO - Epoch [7][4450/7390] lr: 1.000e-02, eta: 5:38:26, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8817, losses_bboxes: 0.4747, loss: 8.3564 2022-09-29 08:32:48,597 - mmdet - INFO - Epoch [7][4500/7390] lr: 1.000e-02, eta: 5:38:01, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8859, losses_bboxes: 0.4740, loss: 8.3599 2022-09-29 08:33:14,604 - mmdet - INFO - Epoch [7][4550/7390] lr: 1.000e-02, eta: 5:37:36, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8808, losses_bboxes: 0.4727, loss: 8.3535 2022-09-29 08:33:40,191 - mmdet - INFO - Epoch [7][4600/7390] lr: 1.000e-02, eta: 5:37:10, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8787, losses_bboxes: 0.4734, loss: 8.3521 2022-09-29 08:34:05,987 - mmdet - INFO - Epoch [7][4650/7390] lr: 1.000e-02, eta: 5:36:45, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8750, losses_bboxes: 0.4733, loss: 8.3483 2022-09-29 08:34:31,711 - mmdet - INFO - Epoch [7][4700/7390] lr: 1.000e-02, eta: 5:36:20, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8778, losses_bboxes: 0.4742, loss: 8.3521 2022-09-29 08:34:57,031 - mmdet - INFO - Epoch [7][4750/7390] lr: 1.000e-02, eta: 5:35:54, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8802, losses_bboxes: 0.4728, loss: 8.3530 2022-09-29 08:35:22,518 - mmdet - INFO - Epoch [7][4800/7390] lr: 1.000e-02, eta: 5:35:29, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8799, losses_bboxes: 0.4729, loss: 8.3528 2022-09-29 08:35:48,066 - mmdet - INFO - Epoch [7][4850/7390] lr: 1.000e-02, eta: 5:35:04, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8767, losses_bboxes: 0.4747, loss: 8.3514 2022-09-29 08:36:13,325 - mmdet - INFO - Epoch [7][4900/7390] lr: 1.000e-02, eta: 5:34:38, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8808, losses_bboxes: 0.4738, loss: 8.3546 2022-09-29 08:36:38,162 - mmdet - INFO - Epoch [7][4950/7390] lr: 1.000e-02, eta: 5:34:12, time: 0.498, data_time: 0.011, memory: 43495, loss_cls: 7.8796, losses_bboxes: 0.4737, loss: 8.3533 2022-09-29 08:37:03,679 - mmdet - INFO - Epoch [7][5000/7390] lr: 1.000e-02, eta: 5:33:47, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8912, losses_bboxes: 0.4738, loss: 8.3651 2022-09-29 08:37:29,150 - mmdet - INFO - Epoch [7][5050/7390] lr: 1.000e-02, eta: 5:33:21, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8758, losses_bboxes: 0.4751, loss: 8.3509 2022-09-29 08:37:54,085 - mmdet - INFO - Epoch [7][5100/7390] lr: 1.000e-02, eta: 5:32:55, time: 0.501, data_time: 0.011, memory: 43495, loss_cls: 7.8736, losses_bboxes: 0.4744, loss: 8.3480 2022-09-29 08:38:19,463 - mmdet - INFO - Epoch [7][5150/7390] lr: 1.000e-02, eta: 5:32:30, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8793, losses_bboxes: 0.4743, loss: 8.3536 2022-09-29 08:38:44,964 - mmdet - INFO - Epoch [7][5200/7390] lr: 1.000e-02, eta: 5:32:04, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8910, losses_bboxes: 0.4754, loss: 8.3664 2022-09-29 08:39:10,497 - mmdet - INFO - Epoch [7][5250/7390] lr: 1.000e-02, eta: 5:31:39, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8818, losses_bboxes: 0.4722, loss: 8.3539 2022-09-29 08:39:36,158 - mmdet - INFO - Epoch [7][5300/7390] lr: 1.000e-02, eta: 5:31:14, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8873, losses_bboxes: 0.4748, loss: 8.3621 2022-09-29 08:40:01,482 - mmdet - INFO - Epoch [7][5350/7390] lr: 1.000e-02, eta: 5:30:48, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8846, losses_bboxes: 0.4728, loss: 8.3574 2022-09-29 08:40:26,764 - mmdet - INFO - Epoch [7][5400/7390] lr: 1.000e-02, eta: 5:30:22, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8848, losses_bboxes: 0.4749, loss: 8.3596 2022-09-29 08:40:52,242 - mmdet - INFO - Epoch [7][5450/7390] lr: 1.000e-02, eta: 5:29:57, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8823, losses_bboxes: 0.4763, loss: 8.3586 2022-09-29 08:41:18,042 - mmdet - INFO - Epoch [7][5500/7390] lr: 1.000e-02, eta: 5:29:32, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8826, losses_bboxes: 0.4738, loss: 8.3564 2022-09-29 08:41:43,721 - mmdet - INFO - Epoch [7][5550/7390] lr: 1.000e-02, eta: 5:29:07, time: 0.515, data_time: 0.012, memory: 43495, loss_cls: 7.8846, losses_bboxes: 0.4739, loss: 8.3585 2022-09-29 08:42:09,449 - mmdet - INFO - Epoch [7][5600/7390] lr: 1.000e-02, eta: 5:28:41, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8807, losses_bboxes: 0.4736, loss: 8.3543 2022-09-29 08:42:35,050 - mmdet - INFO - Epoch [7][5650/7390] lr: 1.000e-02, eta: 5:28:16, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8717, losses_bboxes: 0.4748, loss: 8.3465 2022-09-29 08:43:00,713 - mmdet - INFO - Epoch [7][5700/7390] lr: 1.000e-02, eta: 5:27:51, time: 0.515, data_time: 0.012, memory: 43495, loss_cls: 7.8833, losses_bboxes: 0.4738, loss: 8.3571 2022-09-29 08:43:25,930 - mmdet - INFO - Epoch [7][5750/7390] lr: 1.000e-02, eta: 5:27:25, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8844, losses_bboxes: 0.4738, loss: 8.3582 2022-09-29 08:43:51,468 - mmdet - INFO - Epoch [7][5800/7390] lr: 1.000e-02, eta: 5:27:00, time: 0.510, data_time: 0.012, memory: 43495, loss_cls: 7.8812, losses_bboxes: 0.4743, loss: 8.3554 2022-09-29 08:44:16,615 - mmdet - INFO - Epoch [7][5850/7390] lr: 1.000e-02, eta: 5:26:34, time: 0.504, data_time: 0.011, memory: 43495, loss_cls: 7.8848, losses_bboxes: 0.4746, loss: 8.3594 2022-09-29 08:44:42,302 - mmdet - INFO - Epoch [7][5900/7390] lr: 1.000e-02, eta: 5:26:09, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8736, losses_bboxes: 0.4729, loss: 8.3465 2022-09-29 08:45:07,821 - mmdet - INFO - Epoch [7][5950/7390] lr: 1.000e-02, eta: 5:25:43, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8667, losses_bboxes: 0.4738, loss: 8.3405 2022-09-29 08:45:33,579 - mmdet - INFO - Epoch [7][6000/7390] lr: 1.000e-02, eta: 5:25:18, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8807, losses_bboxes: 0.4734, loss: 8.3541 2022-09-29 08:45:59,027 - mmdet - INFO - Epoch [7][6050/7390] lr: 1.000e-02, eta: 5:24:53, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8836, losses_bboxes: 0.4742, loss: 8.3579 2022-09-29 08:46:24,962 - mmdet - INFO - Epoch [7][6100/7390] lr: 1.000e-02, eta: 5:24:28, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8737, losses_bboxes: 0.4758, loss: 8.3495 2022-09-29 08:46:50,376 - mmdet - INFO - Epoch [7][6150/7390] lr: 1.000e-02, eta: 5:24:02, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8736, losses_bboxes: 0.4739, loss: 8.3475 2022-09-29 08:47:15,761 - mmdet - INFO - Epoch [7][6200/7390] lr: 1.000e-02, eta: 5:23:37, time: 0.509, data_time: 0.011, memory: 43495, loss_cls: 7.8804, losses_bboxes: 0.4752, loss: 8.3556 2022-09-29 08:47:40,860 - mmdet - INFO - Epoch [7][6250/7390] lr: 1.000e-02, eta: 5:23:11, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8785, losses_bboxes: 0.4732, loss: 8.3517 2022-09-29 08:48:06,282 - mmdet - INFO - Epoch [7][6300/7390] lr: 1.000e-02, eta: 5:22:45, time: 0.508, data_time: 0.011, memory: 43495, loss_cls: 7.8793, losses_bboxes: 0.4726, loss: 8.3518 2022-09-29 08:48:31,503 - mmdet - INFO - Epoch [7][6350/7390] lr: 1.000e-02, eta: 5:22:20, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8738, losses_bboxes: 0.4733, loss: 8.3471 2022-09-29 08:48:56,576 - mmdet - INFO - Epoch [7][6400/7390] lr: 1.000e-02, eta: 5:21:54, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8760, losses_bboxes: 0.4733, loss: 8.3493 2022-09-29 08:49:22,183 - mmdet - INFO - Epoch [7][6450/7390] lr: 1.000e-02, eta: 5:21:29, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8633, losses_bboxes: 0.4746, loss: 8.3379 2022-09-29 08:49:47,553 - mmdet - INFO - Epoch [7][6500/7390] lr: 1.000e-02, eta: 5:21:03, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8703, losses_bboxes: 0.4729, loss: 8.3431 2022-09-29 08:50:13,292 - mmdet - INFO - Epoch [7][6550/7390] lr: 1.000e-02, eta: 5:20:38, time: 0.515, data_time: 0.012, memory: 43495, loss_cls: 7.8773, losses_bboxes: 0.4736, loss: 8.3509 2022-09-29 08:50:39,202 - mmdet - INFO - Epoch [7][6600/7390] lr: 1.000e-02, eta: 5:20:13, time: 0.518, data_time: 0.011, memory: 43495, loss_cls: 7.8820, losses_bboxes: 0.4719, loss: 8.3539 2022-09-29 08:51:05,248 - mmdet - INFO - Epoch [7][6650/7390] lr: 1.000e-02, eta: 5:19:48, time: 0.522, data_time: 0.011, memory: 43495, loss_cls: 7.8802, losses_bboxes: 0.4752, loss: 8.3555 2022-09-29 08:51:30,720 - mmdet - INFO - Epoch [7][6700/7390] lr: 1.000e-02, eta: 5:19:22, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8870, losses_bboxes: 0.4746, loss: 8.3616 2022-09-29 08:51:55,775 - mmdet - INFO - Epoch [7][6750/7390] lr: 1.000e-02, eta: 5:18:57, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8739, losses_bboxes: 0.4720, loss: 8.3459 2022-09-29 08:52:20,776 - mmdet - INFO - Epoch [7][6800/7390] lr: 1.000e-02, eta: 5:18:31, time: 0.499, data_time: 0.009, memory: 43495, loss_cls: 7.8777, losses_bboxes: 0.4745, loss: 8.3521 2022-09-29 08:52:46,383 - mmdet - INFO - Epoch [7][6850/7390] lr: 1.000e-02, eta: 5:18:05, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8748, losses_bboxes: 0.4733, loss: 8.3481 2022-09-29 08:53:11,720 - mmdet - INFO - Epoch [7][6900/7390] lr: 1.000e-02, eta: 5:17:40, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8716, losses_bboxes: 0.4747, loss: 8.3463 2022-09-29 08:53:37,123 - mmdet - INFO - Epoch [7][6950/7390] lr: 1.000e-02, eta: 5:17:14, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8787, losses_bboxes: 0.4718, loss: 8.3505 2022-09-29 08:54:02,850 - mmdet - INFO - Epoch [7][7000/7390] lr: 1.000e-02, eta: 5:16:49, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8729, losses_bboxes: 0.4720, loss: 8.3449 2022-09-29 08:54:28,444 - mmdet - INFO - Epoch [7][7050/7390] lr: 1.000e-02, eta: 5:16:24, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8792, losses_bboxes: 0.4744, loss: 8.3536 2022-09-29 08:54:53,963 - mmdet - INFO - Epoch [7][7100/7390] lr: 1.000e-02, eta: 5:15:58, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8682, losses_bboxes: 0.4740, loss: 8.3422 2022-09-29 08:55:19,408 - mmdet - INFO - Epoch [7][7150/7390] lr: 1.000e-02, eta: 5:15:33, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8807, losses_bboxes: 0.4728, loss: 8.3535 2022-09-29 08:55:45,287 - mmdet - INFO - Epoch [7][7200/7390] lr: 1.000e-02, eta: 5:15:08, time: 0.517, data_time: 0.009, memory: 43495, loss_cls: 7.8814, losses_bboxes: 0.4748, loss: 8.3562 2022-09-29 08:56:10,863 - mmdet - INFO - Epoch [7][7250/7390] lr: 1.000e-02, eta: 5:14:42, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8762, losses_bboxes: 0.4728, loss: 8.3490 2022-09-29 08:56:36,190 - mmdet - INFO - Epoch [7][7300/7390] lr: 1.000e-02, eta: 5:14:17, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8825, losses_bboxes: 0.4742, loss: 8.3567 2022-09-29 08:57:01,515 - mmdet - INFO - Epoch [7][7350/7390] lr: 1.000e-02, eta: 5:13:51, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8790, losses_bboxes: 0.4729, loss: 8.3519 2022-09-29 08:57:22,703 - mmdet - INFO - Saving checkpoint at 7 epochs 2022-09-29 08:57:52,413 - mmdet - INFO - Epoch [8][50/7390] lr: 1.000e-02, eta: 5:12:53, time: 0.572, data_time: 0.071, memory: 43495, loss_cls: 7.8761, losses_bboxes: 0.4729, loss: 8.3490 2022-09-29 08:58:18,275 - mmdet - INFO - Epoch [8][100/7390] lr: 1.000e-02, eta: 5:12:28, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8799, losses_bboxes: 0.4730, loss: 8.3529 2022-09-29 08:58:43,650 - mmdet - INFO - Epoch [8][150/7390] lr: 1.000e-02, eta: 5:12:03, time: 0.508, data_time: 0.012, memory: 43495, loss_cls: 7.8822, losses_bboxes: 0.4737, loss: 8.3559 2022-09-29 08:59:09,023 - mmdet - INFO - Epoch [8][200/7390] lr: 1.000e-02, eta: 5:11:37, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8896, losses_bboxes: 0.4737, loss: 8.3633 2022-09-29 08:59:34,617 - mmdet - INFO - Epoch [8][250/7390] lr: 1.000e-02, eta: 5:11:12, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8925, losses_bboxes: 0.4741, loss: 8.3666 2022-09-29 08:59:59,842 - mmdet - INFO - Epoch [8][300/7390] lr: 1.000e-02, eta: 5:10:46, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8864, losses_bboxes: 0.4740, loss: 8.3604 2022-09-29 09:00:25,180 - mmdet - INFO - Epoch [8][350/7390] lr: 1.000e-02, eta: 5:10:21, time: 0.506, data_time: 0.008, memory: 43495, loss_cls: 7.8668, losses_bboxes: 0.4743, loss: 8.3411 2022-09-29 09:00:51,083 - mmdet - INFO - Epoch [8][400/7390] lr: 1.000e-02, eta: 5:09:56, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8827, losses_bboxes: 0.4730, loss: 8.3557 2022-09-29 09:01:16,534 - mmdet - INFO - Epoch [8][450/7390] lr: 1.000e-02, eta: 5:09:30, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8897, losses_bboxes: 0.4741, loss: 8.3638 2022-09-29 09:01:41,849 - mmdet - INFO - Epoch [8][500/7390] lr: 1.000e-02, eta: 5:09:05, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8864, losses_bboxes: 0.4745, loss: 8.3609 2022-09-29 09:02:07,556 - mmdet - INFO - Epoch [8][550/7390] lr: 1.000e-02, eta: 5:08:39, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8745, losses_bboxes: 0.4741, loss: 8.3487 2022-09-29 09:02:33,287 - mmdet - INFO - Epoch [8][600/7390] lr: 1.000e-02, eta: 5:08:14, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8825, losses_bboxes: 0.4725, loss: 8.3549 2022-09-29 09:02:58,775 - mmdet - INFO - Epoch [8][650/7390] lr: 1.000e-02, eta: 5:07:49, time: 0.509, data_time: 0.011, memory: 43495, loss_cls: 7.8700, losses_bboxes: 0.4741, loss: 8.3441 2022-09-29 09:03:24,063 - mmdet - INFO - Epoch [8][700/7390] lr: 1.000e-02, eta: 5:07:23, time: 0.506, data_time: 0.012, memory: 43495, loss_cls: 7.8743, losses_bboxes: 0.4748, loss: 8.3491 2022-09-29 09:03:49,975 - mmdet - INFO - Epoch [8][750/7390] lr: 1.000e-02, eta: 5:06:58, time: 0.520, data_time: 0.011, memory: 43495, loss_cls: 7.8773, losses_bboxes: 0.4742, loss: 8.3515 2022-09-29 09:04:15,034 - mmdet - INFO - Epoch [8][800/7390] lr: 1.000e-02, eta: 5:06:32, time: 0.500, data_time: 0.009, memory: 43495, loss_cls: 7.8798, losses_bboxes: 0.4728, loss: 8.3526 2022-09-29 09:04:40,706 - mmdet - INFO - Epoch [8][850/7390] lr: 1.000e-02, eta: 5:06:07, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8872, losses_bboxes: 0.4734, loss: 8.3606 2022-09-29 09:05:06,355 - mmdet - INFO - Epoch [8][900/7390] lr: 1.000e-02, eta: 5:05:42, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8774, losses_bboxes: 0.4726, loss: 8.3500 2022-09-29 09:05:32,237 - mmdet - INFO - Epoch [8][950/7390] lr: 1.000e-02, eta: 5:05:17, time: 0.519, data_time: 0.011, memory: 43495, loss_cls: 7.8859, losses_bboxes: 0.4726, loss: 8.3585 2022-09-29 09:05:57,740 - mmdet - INFO - Epoch [8][1000/7390] lr: 1.000e-02, eta: 5:04:51, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8723, losses_bboxes: 0.4741, loss: 8.3464 2022-09-29 09:06:22,958 - mmdet - INFO - Epoch [8][1050/7390] lr: 1.000e-02, eta: 5:04:26, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8921, losses_bboxes: 0.4719, loss: 8.3640 2022-09-29 09:06:48,542 - mmdet - INFO - Epoch [8][1100/7390] lr: 1.000e-02, eta: 5:04:00, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8707, losses_bboxes: 0.4738, loss: 8.3445 2022-09-29 09:07:14,332 - mmdet - INFO - Epoch [8][1150/7390] lr: 1.000e-02, eta: 5:03:35, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8794, losses_bboxes: 0.4744, loss: 8.3538 2022-09-29 09:07:39,561 - mmdet - INFO - Epoch [8][1200/7390] lr: 1.000e-02, eta: 5:03:10, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8805, losses_bboxes: 0.4739, loss: 8.3544 2022-09-29 09:08:04,702 - mmdet - INFO - Epoch [8][1250/7390] lr: 1.000e-02, eta: 5:02:44, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8726, losses_bboxes: 0.4724, loss: 8.3451 2022-09-29 09:08:29,846 - mmdet - INFO - Epoch [8][1300/7390] lr: 1.000e-02, eta: 5:02:18, time: 0.500, data_time: 0.008, memory: 43495, loss_cls: 7.8818, losses_bboxes: 0.4741, loss: 8.3558 2022-09-29 09:08:55,441 - mmdet - INFO - Epoch [8][1350/7390] lr: 1.000e-02, eta: 5:01:53, time: 0.515, data_time: 0.012, memory: 43495, loss_cls: 7.8936, losses_bboxes: 0.4731, loss: 8.3667 2022-09-29 09:09:21,068 - mmdet - INFO - Epoch [8][1400/7390] lr: 1.000e-02, eta: 5:01:28, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8844, losses_bboxes: 0.4744, loss: 8.3588 2022-09-29 09:09:46,356 - mmdet - INFO - Epoch [8][1450/7390] lr: 1.000e-02, eta: 5:01:02, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8814, losses_bboxes: 0.4732, loss: 8.3545 2022-09-29 09:10:12,023 - mmdet - INFO - Epoch [8][1500/7390] lr: 1.000e-02, eta: 5:00:37, time: 0.516, data_time: 0.012, memory: 43495, loss_cls: 7.8710, losses_bboxes: 0.4749, loss: 8.3459 2022-09-29 09:10:37,661 - mmdet - INFO - Epoch [8][1550/7390] lr: 1.000e-02, eta: 5:00:11, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8699, losses_bboxes: 0.4709, loss: 8.3408 2022-09-29 09:11:02,910 - mmdet - INFO - Epoch [8][1600/7390] lr: 1.000e-02, eta: 4:59:46, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8773, losses_bboxes: 0.4742, loss: 8.3515 2022-09-29 09:11:28,307 - mmdet - INFO - Epoch [8][1650/7390] lr: 1.000e-02, eta: 4:59:20, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8718, losses_bboxes: 0.4727, loss: 8.3445 2022-09-29 09:11:53,729 - mmdet - INFO - Epoch [8][1700/7390] lr: 1.000e-02, eta: 4:58:55, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8759, losses_bboxes: 0.4718, loss: 8.3477 2022-09-29 09:12:18,629 - mmdet - INFO - Epoch [8][1750/7390] lr: 1.000e-02, eta: 4:58:29, time: 0.496, data_time: 0.009, memory: 43495, loss_cls: 7.8848, losses_bboxes: 0.4725, loss: 8.3573 2022-09-29 09:12:44,242 - mmdet - INFO - Epoch [8][1800/7390] lr: 1.000e-02, eta: 4:58:04, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8798, losses_bboxes: 0.4732, loss: 8.3530 2022-09-29 09:13:09,153 - mmdet - INFO - Epoch [8][1850/7390] lr: 1.000e-02, eta: 4:57:38, time: 0.498, data_time: 0.010, memory: 43495, loss_cls: 7.8757, losses_bboxes: 0.4721, loss: 8.3478 2022-09-29 09:13:34,743 - mmdet - INFO - Epoch [8][1900/7390] lr: 1.000e-02, eta: 4:57:13, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8789, losses_bboxes: 0.4734, loss: 8.3523 2022-09-29 09:14:00,163 - mmdet - INFO - Epoch [8][1950/7390] lr: 1.000e-02, eta: 4:56:47, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8666, losses_bboxes: 0.4742, loss: 8.3408 2022-09-29 09:14:26,069 - mmdet - INFO - Epoch [8][2000/7390] lr: 1.000e-02, eta: 4:56:22, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8711, losses_bboxes: 0.4740, loss: 8.3451 2022-09-29 09:14:51,873 - mmdet - INFO - Epoch [8][2050/7390] lr: 1.000e-02, eta: 4:55:57, time: 0.519, data_time: 0.011, memory: 43495, loss_cls: 7.8773, losses_bboxes: 0.4735, loss: 8.3509 2022-09-29 09:15:17,510 - mmdet - INFO - Epoch [8][2100/7390] lr: 1.000e-02, eta: 4:55:32, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8765, losses_bboxes: 0.4746, loss: 8.3511 2022-09-29 09:15:42,653 - mmdet - INFO - Epoch [8][2150/7390] lr: 1.000e-02, eta: 4:55:06, time: 0.503, data_time: 0.011, memory: 43495, loss_cls: 7.8769, losses_bboxes: 0.4729, loss: 8.3498 2022-09-29 09:16:08,039 - mmdet - INFO - Epoch [8][2200/7390] lr: 1.000e-02, eta: 4:54:40, time: 0.507, data_time: 0.011, memory: 43495, loss_cls: 7.8788, losses_bboxes: 0.4729, loss: 8.3517 2022-09-29 09:16:33,674 - mmdet - INFO - Epoch [8][2250/7390] lr: 1.000e-02, eta: 4:54:15, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8750, losses_bboxes: 0.4730, loss: 8.3479 2022-09-29 09:16:58,901 - mmdet - INFO - Epoch [8][2300/7390] lr: 1.000e-02, eta: 4:53:50, time: 0.504, data_time: 0.011, memory: 43495, loss_cls: 7.8737, losses_bboxes: 0.4734, loss: 8.3471 2022-09-29 09:17:23,895 - mmdet - INFO - Epoch [8][2350/7390] lr: 1.000e-02, eta: 4:53:24, time: 0.501, data_time: 0.011, memory: 43495, loss_cls: 7.8676, losses_bboxes: 0.4730, loss: 8.3406 2022-09-29 09:17:49,524 - mmdet - INFO - Epoch [8][2400/7390] lr: 1.000e-02, eta: 4:52:59, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8661, losses_bboxes: 0.4732, loss: 8.3394 2022-09-29 09:18:14,952 - mmdet - INFO - Epoch [8][2450/7390] lr: 1.000e-02, eta: 4:52:33, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8859, losses_bboxes: 0.4746, loss: 8.3605 2022-09-29 09:18:40,492 - mmdet - INFO - Epoch [8][2500/7390] lr: 1.000e-02, eta: 4:52:08, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8756, losses_bboxes: 0.4723, loss: 8.3479 2022-09-29 09:19:05,533 - mmdet - INFO - Epoch [8][2550/7390] lr: 1.000e-02, eta: 4:51:42, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8763, losses_bboxes: 0.4726, loss: 8.3489 2022-09-29 09:19:31,136 - mmdet - INFO - Epoch [8][2600/7390] lr: 1.000e-02, eta: 4:51:17, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8726, losses_bboxes: 0.4735, loss: 8.3461 2022-09-29 09:19:56,708 - mmdet - INFO - Epoch [8][2650/7390] lr: 1.000e-02, eta: 4:50:51, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8715, losses_bboxes: 0.4763, loss: 8.3478 2022-09-29 09:20:22,229 - mmdet - INFO - Epoch [8][2700/7390] lr: 1.000e-02, eta: 4:50:26, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8796, losses_bboxes: 0.4703, loss: 8.3498 2022-09-29 09:20:47,299 - mmdet - INFO - Epoch [8][2750/7390] lr: 1.000e-02, eta: 4:50:00, time: 0.501, data_time: 0.011, memory: 43495, loss_cls: 7.8789, losses_bboxes: 0.4717, loss: 8.3506 2022-09-29 09:21:12,871 - mmdet - INFO - Epoch [8][2800/7390] lr: 1.000e-02, eta: 4:49:35, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8715, losses_bboxes: 0.4734, loss: 8.3449 2022-09-29 09:21:37,843 - mmdet - INFO - Epoch [8][2850/7390] lr: 1.000e-02, eta: 4:49:09, time: 0.501, data_time: 0.011, memory: 43495, loss_cls: 7.8891, losses_bboxes: 0.4737, loss: 8.3628 2022-09-29 09:22:03,201 - mmdet - INFO - Epoch [8][2900/7390] lr: 1.000e-02, eta: 4:48:44, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8699, losses_bboxes: 0.4728, loss: 8.3427 2022-09-29 09:22:28,488 - mmdet - INFO - Epoch [8][2950/7390] lr: 1.000e-02, eta: 4:48:18, time: 0.508, data_time: 0.011, memory: 43495, loss_cls: 7.8813, losses_bboxes: 0.4743, loss: 8.3555 2022-09-29 09:22:53,832 - mmdet - INFO - Epoch [8][3000/7390] lr: 1.000e-02, eta: 4:47:53, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8791, losses_bboxes: 0.4723, loss: 8.3513 2022-09-29 09:23:19,310 - mmdet - INFO - Epoch [8][3050/7390] lr: 1.000e-02, eta: 4:47:27, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8822, losses_bboxes: 0.4745, loss: 8.3567 2022-09-29 09:23:44,295 - mmdet - INFO - Epoch [8][3100/7390] lr: 1.000e-02, eta: 4:47:02, time: 0.499, data_time: 0.009, memory: 43495, loss_cls: 7.8674, losses_bboxes: 0.4741, loss: 8.3415 2022-09-29 09:24:10,042 - mmdet - INFO - Epoch [8][3150/7390] lr: 1.000e-02, eta: 4:46:36, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8754, losses_bboxes: 0.4743, loss: 8.3497 2022-09-29 09:24:35,059 - mmdet - INFO - Epoch [8][3200/7390] lr: 1.000e-02, eta: 4:46:11, time: 0.499, data_time: 0.010, memory: 43495, loss_cls: 7.8741, losses_bboxes: 0.4741, loss: 8.3482 2022-09-29 09:25:00,750 - mmdet - INFO - Epoch [8][3250/7390] lr: 1.000e-02, eta: 4:45:45, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8815, losses_bboxes: 0.4736, loss: 8.3551 2022-09-29 09:25:26,328 - mmdet - INFO - Epoch [8][3300/7390] lr: 1.000e-02, eta: 4:45:20, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8729, losses_bboxes: 0.4726, loss: 8.3456 2022-09-29 09:25:51,903 - mmdet - INFO - Epoch [8][3350/7390] lr: 1.000e-02, eta: 4:44:55, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8763, losses_bboxes: 0.4734, loss: 8.3497 2022-09-29 09:26:17,111 - mmdet - INFO - Epoch [8][3400/7390] lr: 1.000e-02, eta: 4:44:29, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8737, losses_bboxes: 0.4723, loss: 8.3460 2022-09-29 09:26:42,589 - mmdet - INFO - Epoch [8][3450/7390] lr: 1.000e-02, eta: 4:44:04, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8720, losses_bboxes: 0.4717, loss: 8.3438 2022-09-29 09:27:07,556 - mmdet - INFO - Epoch [8][3500/7390] lr: 1.000e-02, eta: 4:43:38, time: 0.497, data_time: 0.009, memory: 43495, loss_cls: 7.8933, losses_bboxes: 0.4732, loss: 8.3664 2022-09-29 09:27:32,514 - mmdet - INFO - Epoch [8][3550/7390] lr: 1.000e-02, eta: 4:43:12, time: 0.501, data_time: 0.011, memory: 43495, loss_cls: 7.8734, losses_bboxes: 0.4729, loss: 8.3463 2022-09-29 09:27:58,179 - mmdet - INFO - Epoch [8][3600/7390] lr: 1.000e-02, eta: 4:42:47, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8750, losses_bboxes: 0.4738, loss: 8.3487 2022-09-29 09:28:23,622 - mmdet - INFO - Epoch [8][3650/7390] lr: 1.000e-02, eta: 4:42:21, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8842, losses_bboxes: 0.4712, loss: 8.3554 2022-09-29 09:28:49,333 - mmdet - INFO - Epoch [8][3700/7390] lr: 1.000e-02, eta: 4:41:56, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8764, losses_bboxes: 0.4749, loss: 8.3513 2022-09-29 09:29:15,082 - mmdet - INFO - Epoch [8][3750/7390] lr: 1.000e-02, eta: 4:41:31, time: 0.513, data_time: 0.008, memory: 43495, loss_cls: 7.8763, losses_bboxes: 0.4729, loss: 8.3492 2022-09-29 09:29:40,660 - mmdet - INFO - Epoch [8][3800/7390] lr: 1.000e-02, eta: 4:41:06, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8780, losses_bboxes: 0.4749, loss: 8.3529 2022-09-29 09:30:05,805 - mmdet - INFO - Epoch [8][3850/7390] lr: 1.000e-02, eta: 4:40:40, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8778, losses_bboxes: 0.4722, loss: 8.3501 2022-09-29 09:30:31,338 - mmdet - INFO - Epoch [8][3900/7390] lr: 1.000e-02, eta: 4:40:15, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8693, losses_bboxes: 0.4734, loss: 8.3427 2022-09-29 09:30:57,160 - mmdet - INFO - Epoch [8][3950/7390] lr: 1.000e-02, eta: 4:39:49, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8801, losses_bboxes: 0.4722, loss: 8.3523 2022-09-29 09:31:22,344 - mmdet - INFO - Epoch [8][4000/7390] lr: 1.000e-02, eta: 4:39:24, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8714, losses_bboxes: 0.4740, loss: 8.3455 2022-09-29 09:31:47,689 - mmdet - INFO - Epoch [8][4050/7390] lr: 1.000e-02, eta: 4:38:58, time: 0.509, data_time: 0.011, memory: 43495, loss_cls: 7.8805, losses_bboxes: 0.4720, loss: 8.3525 2022-09-29 09:32:13,040 - mmdet - INFO - Epoch [8][4100/7390] lr: 1.000e-02, eta: 4:38:33, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8760, losses_bboxes: 0.4740, loss: 8.3500 2022-09-29 09:32:38,356 - mmdet - INFO - Epoch [8][4150/7390] lr: 1.000e-02, eta: 4:38:07, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8778, losses_bboxes: 0.4738, loss: 8.3516 2022-09-29 09:33:04,103 - mmdet - INFO - Epoch [8][4200/7390] lr: 1.000e-02, eta: 4:37:42, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8772, losses_bboxes: 0.4718, loss: 8.3489 2022-09-29 09:33:30,182 - mmdet - INFO - Epoch [8][4250/7390] lr: 1.000e-02, eta: 4:37:17, time: 0.520, data_time: 0.010, memory: 43495, loss_cls: 7.8764, losses_bboxes: 0.4737, loss: 8.3500 2022-09-29 09:33:55,743 - mmdet - INFO - Epoch [8][4300/7390] lr: 1.000e-02, eta: 4:36:52, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8758, losses_bboxes: 0.4734, loss: 8.3492 2022-09-29 09:34:21,165 - mmdet - INFO - Epoch [8][4350/7390] lr: 1.000e-02, eta: 4:36:26, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8734, losses_bboxes: 0.4729, loss: 8.3463 2022-09-29 09:34:46,637 - mmdet - INFO - Epoch [8][4400/7390] lr: 1.000e-02, eta: 4:36:01, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8687, losses_bboxes: 0.4716, loss: 8.3403 2022-09-29 09:35:11,767 - mmdet - INFO - Epoch [8][4450/7390] lr: 1.000e-02, eta: 4:35:35, time: 0.503, data_time: 0.011, memory: 43495, loss_cls: 7.8832, losses_bboxes: 0.4715, loss: 8.3547 2022-09-29 09:35:37,165 - mmdet - INFO - Epoch [8][4500/7390] lr: 1.000e-02, eta: 4:35:10, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8750, losses_bboxes: 0.4721, loss: 8.3470 2022-09-29 09:36:02,790 - mmdet - INFO - Epoch [8][4550/7390] lr: 1.000e-02, eta: 4:34:44, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8779, losses_bboxes: 0.4718, loss: 8.3497 2022-09-29 09:36:28,831 - mmdet - INFO - Epoch [8][4600/7390] lr: 1.000e-02, eta: 4:34:19, time: 0.521, data_time: 0.010, memory: 43495, loss_cls: 7.8699, losses_bboxes: 0.4723, loss: 8.3422 2022-09-29 09:36:53,919 - mmdet - INFO - Epoch [8][4650/7390] lr: 1.000e-02, eta: 4:33:54, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8713, losses_bboxes: 0.4737, loss: 8.3450 2022-09-29 09:37:19,545 - mmdet - INFO - Epoch [8][4700/7390] lr: 1.000e-02, eta: 4:33:28, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8706, losses_bboxes: 0.4731, loss: 8.3437 2022-09-29 09:37:44,344 - mmdet - INFO - Epoch [8][4750/7390] lr: 1.000e-02, eta: 4:33:02, time: 0.497, data_time: 0.011, memory: 43495, loss_cls: 7.8662, losses_bboxes: 0.4725, loss: 8.3387 2022-09-29 09:38:09,377 - mmdet - INFO - Epoch [8][4800/7390] lr: 1.000e-02, eta: 4:32:37, time: 0.499, data_time: 0.009, memory: 43495, loss_cls: 7.8797, losses_bboxes: 0.4706, loss: 8.3503 2022-09-29 09:38:34,735 - mmdet - INFO - Epoch [8][4850/7390] lr: 1.000e-02, eta: 4:32:11, time: 0.508, data_time: 0.011, memory: 43495, loss_cls: 7.8758, losses_bboxes: 0.4719, loss: 8.3478 2022-09-29 09:38:59,635 - mmdet - INFO - Epoch [8][4900/7390] lr: 1.000e-02, eta: 4:31:46, time: 0.499, data_time: 0.012, memory: 43495, loss_cls: 7.8785, losses_bboxes: 0.4722, loss: 8.3507 2022-09-29 09:39:25,237 - mmdet - INFO - Epoch [8][4950/7390] lr: 1.000e-02, eta: 4:31:20, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8753, losses_bboxes: 0.4727, loss: 8.3480 2022-09-29 09:39:50,429 - mmdet - INFO - Epoch [8][5000/7390] lr: 1.000e-02, eta: 4:30:55, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8769, losses_bboxes: 0.4723, loss: 8.3492 2022-09-29 09:40:16,317 - mmdet - INFO - Epoch [8][5050/7390] lr: 1.000e-02, eta: 4:30:29, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8770, losses_bboxes: 0.4734, loss: 8.3504 2022-09-29 09:40:42,064 - mmdet - INFO - Epoch [8][5100/7390] lr: 1.000e-02, eta: 4:30:04, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8666, losses_bboxes: 0.4725, loss: 8.3391 2022-09-29 09:41:07,847 - mmdet - INFO - Epoch [8][5150/7390] lr: 1.000e-02, eta: 4:29:39, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8732, losses_bboxes: 0.4746, loss: 8.3478 2022-09-29 09:41:33,555 - mmdet - INFO - Epoch [8][5200/7390] lr: 1.000e-02, eta: 4:29:14, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8770, losses_bboxes: 0.4726, loss: 8.3496 2022-09-29 09:41:58,631 - mmdet - INFO - Epoch [8][5250/7390] lr: 1.000e-02, eta: 4:28:48, time: 0.503, data_time: 0.011, memory: 43495, loss_cls: 7.8737, losses_bboxes: 0.4724, loss: 8.3461 2022-09-29 09:42:24,050 - mmdet - INFO - Epoch [8][5300/7390] lr: 1.000e-02, eta: 4:28:22, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8732, losses_bboxes: 0.4718, loss: 8.3450 2022-09-29 09:42:49,779 - mmdet - INFO - Epoch [8][5350/7390] lr: 1.000e-02, eta: 4:27:57, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8832, losses_bboxes: 0.4735, loss: 8.3567 2022-09-29 09:43:14,689 - mmdet - INFO - Epoch [8][5400/7390] lr: 1.000e-02, eta: 4:27:31, time: 0.497, data_time: 0.009, memory: 43495, loss_cls: 7.8620, losses_bboxes: 0.4703, loss: 8.3322 2022-09-29 09:43:40,497 - mmdet - INFO - Epoch [8][5450/7390] lr: 1.000e-02, eta: 4:27:06, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8734, losses_bboxes: 0.4723, loss: 8.3457 2022-09-29 09:44:05,814 - mmdet - INFO - Epoch [8][5500/7390] lr: 1.000e-02, eta: 4:26:41, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8758, losses_bboxes: 0.4716, loss: 8.3474 2022-09-29 09:44:31,493 - mmdet - INFO - Epoch [8][5550/7390] lr: 1.000e-02, eta: 4:26:15, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8792, losses_bboxes: 0.4732, loss: 8.3524 2022-09-29 09:44:57,039 - mmdet - INFO - Epoch [8][5600/7390] lr: 1.000e-02, eta: 4:25:50, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8790, losses_bboxes: 0.4733, loss: 8.3523 2022-09-29 09:45:22,254 - mmdet - INFO - Epoch [8][5650/7390] lr: 1.000e-02, eta: 4:25:24, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8692, losses_bboxes: 0.4715, loss: 8.3406 2022-09-29 09:45:47,640 - mmdet - INFO - Epoch [8][5700/7390] lr: 1.000e-02, eta: 4:24:59, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8804, losses_bboxes: 0.4725, loss: 8.3529 2022-09-29 09:46:12,817 - mmdet - INFO - Epoch [8][5750/7390] lr: 1.000e-02, eta: 4:24:33, time: 0.505, data_time: 0.011, memory: 43495, loss_cls: 7.8854, losses_bboxes: 0.4724, loss: 8.3579 2022-09-29 09:46:38,235 - mmdet - INFO - Epoch [8][5800/7390] lr: 1.000e-02, eta: 4:24:08, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8736, losses_bboxes: 0.4712, loss: 8.3448 2022-09-29 09:47:03,632 - mmdet - INFO - Epoch [8][5850/7390] lr: 1.000e-02, eta: 4:23:43, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8822, losses_bboxes: 0.4714, loss: 8.3536 2022-09-29 09:47:29,382 - mmdet - INFO - Epoch [8][5900/7390] lr: 1.000e-02, eta: 4:23:17, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8729, losses_bboxes: 0.4724, loss: 8.3453 2022-09-29 09:47:55,354 - mmdet - INFO - Epoch [8][5950/7390] lr: 1.000e-02, eta: 4:22:52, time: 0.520, data_time: 0.010, memory: 43495, loss_cls: 7.8712, losses_bboxes: 0.4711, loss: 8.3423 2022-09-29 09:48:21,570 - mmdet - INFO - Epoch [8][6000/7390] lr: 1.000e-02, eta: 4:22:27, time: 0.524, data_time: 0.009, memory: 43495, loss_cls: 7.8775, losses_bboxes: 0.4744, loss: 8.3519 2022-09-29 09:48:46,891 - mmdet - INFO - Epoch [8][6050/7390] lr: 1.000e-02, eta: 4:22:02, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8742, losses_bboxes: 0.4699, loss: 8.3440 2022-09-29 09:49:12,532 - mmdet - INFO - Epoch [8][6100/7390] lr: 1.000e-02, eta: 4:21:36, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8788, losses_bboxes: 0.4719, loss: 8.3507 2022-09-29 09:49:38,276 - mmdet - INFO - Epoch [8][6150/7390] lr: 1.000e-02, eta: 4:21:11, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8669, losses_bboxes: 0.4729, loss: 8.3397 2022-09-29 09:50:03,811 - mmdet - INFO - Epoch [8][6200/7390] lr: 1.000e-02, eta: 4:20:46, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8781, losses_bboxes: 0.4738, loss: 8.3519 2022-09-29 09:50:28,904 - mmdet - INFO - Epoch [8][6250/7390] lr: 1.000e-02, eta: 4:20:20, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8752, losses_bboxes: 0.4723, loss: 8.3475 2022-09-29 09:50:54,599 - mmdet - INFO - Epoch [8][6300/7390] lr: 1.000e-02, eta: 4:19:55, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8847, losses_bboxes: 0.4731, loss: 8.3578 2022-09-29 09:51:20,211 - mmdet - INFO - Epoch [8][6350/7390] lr: 1.000e-02, eta: 4:19:29, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8703, losses_bboxes: 0.4728, loss: 8.3431 2022-09-29 09:51:45,590 - mmdet - INFO - Epoch [8][6400/7390] lr: 1.000e-02, eta: 4:19:04, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8693, losses_bboxes: 0.4703, loss: 8.3397 2022-09-29 09:52:10,861 - mmdet - INFO - Epoch [8][6450/7390] lr: 1.000e-02, eta: 4:18:38, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8710, losses_bboxes: 0.4723, loss: 8.3432 2022-09-29 09:52:36,433 - mmdet - INFO - Epoch [8][6500/7390] lr: 1.000e-02, eta: 4:18:13, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8722, losses_bboxes: 0.4718, loss: 8.3440 2022-09-29 09:53:01,924 - mmdet - INFO - Epoch [8][6550/7390] lr: 1.000e-02, eta: 4:17:48, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8769, losses_bboxes: 0.4721, loss: 8.3490 2022-09-29 09:53:27,865 - mmdet - INFO - Epoch [8][6600/7390] lr: 1.000e-02, eta: 4:17:22, time: 0.517, data_time: 0.009, memory: 43495, loss_cls: 7.8852, losses_bboxes: 0.4728, loss: 8.3580 2022-09-29 09:53:53,814 - mmdet - INFO - Epoch [8][6650/7390] lr: 1.000e-02, eta: 4:16:57, time: 0.519, data_time: 0.010, memory: 43495, loss_cls: 7.8836, losses_bboxes: 0.4734, loss: 8.3570 2022-09-29 09:54:19,563 - mmdet - INFO - Epoch [8][6700/7390] lr: 1.000e-02, eta: 4:16:32, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8727, losses_bboxes: 0.4717, loss: 8.3444 2022-09-29 09:54:44,595 - mmdet - INFO - Epoch [8][6750/7390] lr: 1.000e-02, eta: 4:16:06, time: 0.501, data_time: 0.009, memory: 43495, loss_cls: 7.8772, losses_bboxes: 0.4724, loss: 8.3496 2022-09-29 09:55:09,940 - mmdet - INFO - Epoch [8][6800/7390] lr: 1.000e-02, eta: 4:15:41, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8655, losses_bboxes: 0.4706, loss: 8.3361 2022-09-29 09:55:35,314 - mmdet - INFO - Epoch [8][6850/7390] lr: 1.000e-02, eta: 4:15:15, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8774, losses_bboxes: 0.4698, loss: 8.3472 2022-09-29 09:56:01,003 - mmdet - INFO - Epoch [8][6900/7390] lr: 1.000e-02, eta: 4:14:50, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8843, losses_bboxes: 0.4722, loss: 8.3566 2022-09-29 09:56:26,425 - mmdet - INFO - Epoch [8][6950/7390] lr: 1.000e-02, eta: 4:14:24, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8687, losses_bboxes: 0.4714, loss: 8.3401 2022-09-29 09:56:51,984 - mmdet - INFO - Epoch [8][7000/7390] lr: 1.000e-02, eta: 4:13:59, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8683, losses_bboxes: 0.4700, loss: 8.3383 2022-09-29 09:57:17,598 - mmdet - INFO - Epoch [8][7050/7390] lr: 1.000e-02, eta: 4:13:34, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8633, losses_bboxes: 0.4719, loss: 8.3352 2022-09-29 09:57:43,064 - mmdet - INFO - Epoch [8][7100/7390] lr: 1.000e-02, eta: 4:13:08, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8687, losses_bboxes: 0.4721, loss: 8.3408 2022-09-29 09:58:09,004 - mmdet - INFO - Epoch [8][7150/7390] lr: 1.000e-02, eta: 4:12:43, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8833, losses_bboxes: 0.4714, loss: 8.3547 2022-09-29 09:58:34,455 - mmdet - INFO - Epoch [8][7200/7390] lr: 1.000e-02, eta: 4:12:18, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8782, losses_bboxes: 0.4724, loss: 8.3506 2022-09-29 09:58:59,826 - mmdet - INFO - Epoch [8][7250/7390] lr: 1.000e-02, eta: 4:11:52, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8708, losses_bboxes: 0.4709, loss: 8.3416 2022-09-29 09:59:25,688 - mmdet - INFO - Epoch [8][7300/7390] lr: 1.000e-02, eta: 4:11:27, time: 0.518, data_time: 0.011, memory: 43495, loss_cls: 7.8771, losses_bboxes: 0.4722, loss: 8.3493 2022-09-29 09:59:51,118 - mmdet - INFO - Epoch [8][7350/7390] lr: 1.000e-02, eta: 4:11:01, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8710, losses_bboxes: 0.4714, loss: 8.3424 2022-09-29 10:00:11,642 - mmdet - INFO - Saving checkpoint at 8 epochs 2022-09-29 10:00:41,747 - mmdet - INFO - Epoch [9][50/7390] lr: 1.000e-03, eta: 4:10:07, time: 0.581, data_time: 0.072, memory: 43495, loss_cls: 7.8786, losses_bboxes: 0.4714, loss: 8.3500 2022-09-29 10:01:07,111 - mmdet - INFO - Epoch [9][100/7390] lr: 1.000e-03, eta: 4:09:42, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8731, losses_bboxes: 0.4691, loss: 8.3422 2022-09-29 10:01:32,518 - mmdet - INFO - Epoch [9][150/7390] lr: 1.000e-03, eta: 4:09:16, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8761, losses_bboxes: 0.4713, loss: 8.3473 2022-09-29 10:01:57,620 - mmdet - INFO - Epoch [9][200/7390] lr: 1.000e-03, eta: 4:08:51, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8742, losses_bboxes: 0.4720, loss: 8.3462 2022-09-29 10:02:23,171 - mmdet - INFO - Epoch [9][250/7390] lr: 1.000e-03, eta: 4:08:25, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8651, losses_bboxes: 0.4710, loss: 8.3362 2022-09-29 10:02:48,897 - mmdet - INFO - Epoch [9][300/7390] lr: 1.000e-03, eta: 4:08:00, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8654, losses_bboxes: 0.4711, loss: 8.3364 2022-09-29 10:03:14,493 - mmdet - INFO - Epoch [9][350/7390] lr: 1.000e-03, eta: 4:07:35, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8787, losses_bboxes: 0.4698, loss: 8.3485 2022-09-29 10:03:40,497 - mmdet - INFO - Epoch [9][400/7390] lr: 1.000e-03, eta: 4:07:10, time: 0.519, data_time: 0.010, memory: 43495, loss_cls: 7.8685, losses_bboxes: 0.4706, loss: 8.3391 2022-09-29 10:04:06,100 - mmdet - INFO - Epoch [9][450/7390] lr: 1.000e-03, eta: 4:06:44, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8726, losses_bboxes: 0.4713, loss: 8.3439 2022-09-29 10:04:30,893 - mmdet - INFO - Epoch [9][500/7390] lr: 1.000e-03, eta: 4:06:19, time: 0.495, data_time: 0.009, memory: 43495, loss_cls: 7.8745, losses_bboxes: 0.4713, loss: 8.3458 2022-09-29 10:04:56,089 - mmdet - INFO - Epoch [9][550/7390] lr: 1.000e-03, eta: 4:05:53, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8764, losses_bboxes: 0.4703, loss: 8.3466 2022-09-29 10:05:21,857 - mmdet - INFO - Epoch [9][600/7390] lr: 1.000e-03, eta: 4:05:28, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8724, losses_bboxes: 0.4705, loss: 8.3429 2022-09-29 10:05:47,368 - mmdet - INFO - Epoch [9][650/7390] lr: 1.000e-03, eta: 4:05:02, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8726, losses_bboxes: 0.4728, loss: 8.3454 2022-09-29 10:06:12,776 - mmdet - INFO - Epoch [9][700/7390] lr: 1.000e-03, eta: 4:04:37, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8638, losses_bboxes: 0.4717, loss: 8.3355 2022-09-29 10:06:38,489 - mmdet - INFO - Epoch [9][750/7390] lr: 1.000e-03, eta: 4:04:12, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8710, losses_bboxes: 0.4730, loss: 8.3440 2022-09-29 10:07:03,945 - mmdet - INFO - Epoch [9][800/7390] lr: 1.000e-03, eta: 4:03:46, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8711, losses_bboxes: 0.4690, loss: 8.3401 2022-09-29 10:07:29,331 - mmdet - INFO - Epoch [9][850/7390] lr: 1.000e-03, eta: 4:03:21, time: 0.507, data_time: 0.012, memory: 43495, loss_cls: 7.8810, losses_bboxes: 0.4709, loss: 8.3518 2022-09-29 10:07:54,900 - mmdet - INFO - Epoch [9][900/7390] lr: 1.000e-03, eta: 4:02:55, time: 0.513, data_time: 0.013, memory: 43495, loss_cls: 7.8729, losses_bboxes: 0.4695, loss: 8.3424 2022-09-29 10:08:20,703 - mmdet - INFO - Epoch [9][950/7390] lr: 1.000e-03, eta: 4:02:30, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8753, losses_bboxes: 0.4707, loss: 8.3459 2022-09-29 10:08:46,533 - mmdet - INFO - Epoch [9][1000/7390] lr: 1.000e-03, eta: 4:02:05, time: 0.518, data_time: 0.011, memory: 43495, loss_cls: 7.8706, losses_bboxes: 0.4710, loss: 8.3416 2022-09-29 10:09:12,234 - mmdet - INFO - Epoch [9][1050/7390] lr: 1.000e-03, eta: 4:01:40, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8815, losses_bboxes: 0.4693, loss: 8.3507 2022-09-29 10:09:37,645 - mmdet - INFO - Epoch [9][1100/7390] lr: 1.000e-03, eta: 4:01:14, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8712, losses_bboxes: 0.4699, loss: 8.3411 2022-09-29 10:10:03,180 - mmdet - INFO - Epoch [9][1150/7390] lr: 1.000e-03, eta: 4:00:49, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8695, losses_bboxes: 0.4717, loss: 8.3412 2022-09-29 10:10:28,418 - mmdet - INFO - Epoch [9][1200/7390] lr: 1.000e-03, eta: 4:00:23, time: 0.504, data_time: 0.011, memory: 43495, loss_cls: 7.8739, losses_bboxes: 0.4722, loss: 8.3461 2022-09-29 10:10:53,843 - mmdet - INFO - Epoch [9][1250/7390] lr: 1.000e-03, eta: 3:59:58, time: 0.509, data_time: 0.011, memory: 43495, loss_cls: 7.8685, losses_bboxes: 0.4704, loss: 8.3390 2022-09-29 10:11:19,285 - mmdet - INFO - Epoch [9][1300/7390] lr: 1.000e-03, eta: 3:59:32, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8718, losses_bboxes: 0.4699, loss: 8.3418 2022-09-29 10:11:44,562 - mmdet - INFO - Epoch [9][1350/7390] lr: 1.000e-03, eta: 3:59:07, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8703, losses_bboxes: 0.4697, loss: 8.3400 2022-09-29 10:12:10,238 - mmdet - INFO - Epoch [9][1400/7390] lr: 1.000e-03, eta: 3:58:42, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8649, losses_bboxes: 0.4698, loss: 8.3347 2022-09-29 10:12:36,075 - mmdet - INFO - Epoch [9][1450/7390] lr: 1.000e-03, eta: 3:58:16, time: 0.518, data_time: 0.011, memory: 43495, loss_cls: 7.8725, losses_bboxes: 0.4714, loss: 8.3439 2022-09-29 10:13:02,141 - mmdet - INFO - Epoch [9][1500/7390] lr: 1.000e-03, eta: 3:57:51, time: 0.520, data_time: 0.010, memory: 43495, loss_cls: 7.8638, losses_bboxes: 0.4704, loss: 8.3342 2022-09-29 10:13:27,267 - mmdet - INFO - Epoch [9][1550/7390] lr: 1.000e-03, eta: 3:57:26, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8656, losses_bboxes: 0.4693, loss: 8.3350 2022-09-29 10:13:52,936 - mmdet - INFO - Epoch [9][1600/7390] lr: 1.000e-03, eta: 3:57:00, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8636, losses_bboxes: 0.4715, loss: 8.3352 2022-09-29 10:14:17,795 - mmdet - INFO - Epoch [9][1650/7390] lr: 1.000e-03, eta: 3:56:35, time: 0.497, data_time: 0.009, memory: 43495, loss_cls: 7.8675, losses_bboxes: 0.4713, loss: 8.3388 2022-09-29 10:14:43,486 - mmdet - INFO - Epoch [9][1700/7390] lr: 1.000e-03, eta: 3:56:09, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8795, losses_bboxes: 0.4732, loss: 8.3527 2022-09-29 10:15:08,973 - mmdet - INFO - Epoch [9][1750/7390] lr: 1.000e-03, eta: 3:55:44, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8692, losses_bboxes: 0.4685, loss: 8.3377 2022-09-29 10:15:34,626 - mmdet - INFO - Epoch [9][1800/7390] lr: 1.000e-03, eta: 3:55:19, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8737, losses_bboxes: 0.4696, loss: 8.3433 2022-09-29 10:15:59,942 - mmdet - INFO - Epoch [9][1850/7390] lr: 1.000e-03, eta: 3:54:53, time: 0.507, data_time: 0.012, memory: 43495, loss_cls: 7.8746, losses_bboxes: 0.4700, loss: 8.3446 2022-09-29 10:16:25,607 - mmdet - INFO - Epoch [9][1900/7390] lr: 1.000e-03, eta: 3:54:28, time: 0.515, data_time: 0.011, memory: 43495, loss_cls: 7.8721, losses_bboxes: 0.4704, loss: 8.3424 2022-09-29 10:16:51,075 - mmdet - INFO - Epoch [9][1950/7390] lr: 1.000e-03, eta: 3:54:02, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8720, losses_bboxes: 0.4689, loss: 8.3409 2022-09-29 10:17:16,964 - mmdet - INFO - Epoch [9][2000/7390] lr: 1.000e-03, eta: 3:53:37, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8700, losses_bboxes: 0.4704, loss: 8.3404 2022-09-29 10:17:42,137 - mmdet - INFO - Epoch [9][2050/7390] lr: 1.000e-03, eta: 3:53:12, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8658, losses_bboxes: 0.4695, loss: 8.3353 2022-09-29 10:18:07,668 - mmdet - INFO - Epoch [9][2100/7390] lr: 1.000e-03, eta: 3:52:46, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8766, losses_bboxes: 0.4703, loss: 8.3469 2022-09-29 10:18:33,303 - mmdet - INFO - Epoch [9][2150/7390] lr: 1.000e-03, eta: 3:52:21, time: 0.514, data_time: 0.012, memory: 43495, loss_cls: 7.8716, losses_bboxes: 0.4696, loss: 8.3412 2022-09-29 10:18:59,052 - mmdet - INFO - Epoch [9][2200/7390] lr: 1.000e-03, eta: 3:51:56, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8662, losses_bboxes: 0.4711, loss: 8.3373 2022-09-29 10:19:24,880 - mmdet - INFO - Epoch [9][2250/7390] lr: 1.000e-03, eta: 3:51:30, time: 0.518, data_time: 0.011, memory: 43495, loss_cls: 7.8702, losses_bboxes: 0.4702, loss: 8.3404 2022-09-29 10:19:50,773 - mmdet - INFO - Epoch [9][2300/7390] lr: 1.000e-03, eta: 3:51:05, time: 0.517, data_time: 0.009, memory: 43495, loss_cls: 7.8707, losses_bboxes: 0.4697, loss: 8.3404 2022-09-29 10:20:16,167 - mmdet - INFO - Epoch [9][2350/7390] lr: 1.000e-03, eta: 3:50:40, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8735, losses_bboxes: 0.4696, loss: 8.3431 2022-09-29 10:20:42,112 - mmdet - INFO - Epoch [9][2400/7390] lr: 1.000e-03, eta: 3:50:15, time: 0.520, data_time: 0.011, memory: 43495, loss_cls: 7.8770, losses_bboxes: 0.4712, loss: 8.3482 2022-09-29 10:21:07,690 - mmdet - INFO - Epoch [9][2450/7390] lr: 1.000e-03, eta: 3:49:49, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8628, losses_bboxes: 0.4716, loss: 8.3344 2022-09-29 10:21:32,676 - mmdet - INFO - Epoch [9][2500/7390] lr: 1.000e-03, eta: 3:49:24, time: 0.499, data_time: 0.009, memory: 43495, loss_cls: 7.8736, losses_bboxes: 0.4705, loss: 8.3441 2022-09-29 10:21:57,901 - mmdet - INFO - Epoch [9][2550/7390] lr: 1.000e-03, eta: 3:48:58, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8715, losses_bboxes: 0.4709, loss: 8.3424 2022-09-29 10:22:23,106 - mmdet - INFO - Epoch [9][2600/7390] lr: 1.000e-03, eta: 3:48:32, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8736, losses_bboxes: 0.4685, loss: 8.3421 2022-09-29 10:22:49,372 - mmdet - INFO - Epoch [9][2650/7390] lr: 1.000e-03, eta: 3:48:07, time: 0.524, data_time: 0.010, memory: 43495, loss_cls: 7.8665, losses_bboxes: 0.4714, loss: 8.3379 2022-09-29 10:23:15,174 - mmdet - INFO - Epoch [9][2700/7390] lr: 1.000e-03, eta: 3:47:42, time: 0.517, data_time: 0.011, memory: 43495, loss_cls: 7.8596, losses_bboxes: 0.4687, loss: 8.3283 2022-09-29 10:23:45,365 - mmdet - INFO - Epoch [9][2750/7390] lr: 1.000e-03, eta: 3:47:19, time: 0.604, data_time: 0.010, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4682, loss: 8.3372 2022-09-29 10:24:15,849 - mmdet - INFO - Epoch [9][2800/7390] lr: 1.000e-03, eta: 3:46:55, time: 0.608, data_time: 0.010, memory: 43495, loss_cls: 7.8732, losses_bboxes: 0.4715, loss: 8.3447 2022-09-29 10:24:43,917 - mmdet - INFO - Epoch [9][2850/7390] lr: 1.000e-03, eta: 3:46:31, time: 0.562, data_time: 0.012, memory: 43495, loss_cls: 7.8832, losses_bboxes: 0.4692, loss: 8.3525 2022-09-29 10:25:09,522 - mmdet - INFO - Epoch [9][2900/7390] lr: 1.000e-03, eta: 3:46:06, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8820, losses_bboxes: 0.4689, loss: 8.3508 2022-09-29 10:25:37,749 - mmdet - INFO - Epoch [9][2950/7390] lr: 1.000e-03, eta: 3:45:42, time: 0.564, data_time: 0.010, memory: 43495, loss_cls: 7.8722, losses_bboxes: 0.4693, loss: 8.3415 2022-09-29 10:26:05,591 - mmdet - INFO - Epoch [9][3000/7390] lr: 1.000e-03, eta: 3:45:17, time: 0.557, data_time: 0.011, memory: 43495, loss_cls: 7.8657, losses_bboxes: 0.4703, loss: 8.3360 2022-09-29 10:26:30,684 - mmdet - INFO - Epoch [9][3050/7390] lr: 1.000e-03, eta: 3:44:52, time: 0.504, data_time: 0.011, memory: 43495, loss_cls: 7.8689, losses_bboxes: 0.4703, loss: 8.3392 2022-09-29 10:26:56,102 - mmdet - INFO - Epoch [9][3100/7390] lr: 1.000e-03, eta: 3:44:26, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8775, losses_bboxes: 0.4696, loss: 8.3472 2022-09-29 10:27:24,376 - mmdet - INFO - Epoch [9][3150/7390] lr: 1.000e-03, eta: 3:44:02, time: 0.566, data_time: 0.010, memory: 43495, loss_cls: 7.8787, losses_bboxes: 0.4699, loss: 8.3486 2022-09-29 10:27:50,239 - mmdet - INFO - Epoch [9][3200/7390] lr: 1.000e-03, eta: 3:43:36, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8706, losses_bboxes: 0.4704, loss: 8.3410 2022-09-29 10:28:15,660 - mmdet - INFO - Epoch [9][3250/7390] lr: 1.000e-03, eta: 3:43:11, time: 0.511, data_time: 0.012, memory: 43495, loss_cls: 7.8736, losses_bboxes: 0.4703, loss: 8.3440 2022-09-29 10:28:41,074 - mmdet - INFO - Epoch [9][3300/7390] lr: 1.000e-03, eta: 3:42:46, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8745, losses_bboxes: 0.4706, loss: 8.3451 2022-09-29 10:29:06,832 - mmdet - INFO - Epoch [9][3350/7390] lr: 1.000e-03, eta: 3:42:20, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8678, losses_bboxes: 0.4707, loss: 8.3384 2022-09-29 10:29:32,095 - mmdet - INFO - Epoch [9][3400/7390] lr: 1.000e-03, eta: 3:41:55, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8830, losses_bboxes: 0.4695, loss: 8.3525 2022-09-29 10:29:57,799 - mmdet - INFO - Epoch [9][3450/7390] lr: 1.000e-03, eta: 3:41:29, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8731, losses_bboxes: 0.4698, loss: 8.3429 2022-09-29 10:30:23,116 - mmdet - INFO - Epoch [9][3500/7390] lr: 1.000e-03, eta: 3:41:04, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8749, losses_bboxes: 0.4698, loss: 8.3448 2022-09-29 10:30:48,408 - mmdet - INFO - Epoch [9][3550/7390] lr: 1.000e-03, eta: 3:40:38, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8698, losses_bboxes: 0.4697, loss: 8.3395 2022-09-29 10:31:13,911 - mmdet - INFO - Epoch [9][3600/7390] lr: 1.000e-03, eta: 3:40:13, time: 0.512, data_time: 0.012, memory: 43495, loss_cls: 7.8786, losses_bboxes: 0.4672, loss: 8.3459 2022-09-29 10:31:39,635 - mmdet - INFO - Epoch [9][3650/7390] lr: 1.000e-03, eta: 3:39:48, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8747, losses_bboxes: 0.4695, loss: 8.3442 2022-09-29 10:32:05,139 - mmdet - INFO - Epoch [9][3700/7390] lr: 1.000e-03, eta: 3:39:22, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8683, losses_bboxes: 0.4702, loss: 8.3385 2022-09-29 10:32:30,548 - mmdet - INFO - Epoch [9][3750/7390] lr: 1.000e-03, eta: 3:38:57, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8729, losses_bboxes: 0.4697, loss: 8.3425 2022-09-29 10:32:56,443 - mmdet - INFO - Epoch [9][3800/7390] lr: 1.000e-03, eta: 3:38:31, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8665, losses_bboxes: 0.4706, loss: 8.3371 2022-09-29 10:33:21,831 - mmdet - INFO - Epoch [9][3850/7390] lr: 1.000e-03, eta: 3:38:06, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8671, losses_bboxes: 0.4716, loss: 8.3387 2022-09-29 10:33:47,645 - mmdet - INFO - Epoch [9][3900/7390] lr: 1.000e-03, eta: 3:37:41, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8689, losses_bboxes: 0.4713, loss: 8.3402 2022-09-29 10:34:13,150 - mmdet - INFO - Epoch [9][3950/7390] lr: 1.000e-03, eta: 3:37:15, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8734, losses_bboxes: 0.4700, loss: 8.3435 2022-09-29 10:34:38,528 - mmdet - INFO - Epoch [9][4000/7390] lr: 1.000e-03, eta: 3:36:50, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8735, losses_bboxes: 0.4701, loss: 8.3436 2022-09-29 10:35:04,480 - mmdet - INFO - Epoch [9][4050/7390] lr: 1.000e-03, eta: 3:36:25, time: 0.520, data_time: 0.011, memory: 43495, loss_cls: 7.8737, losses_bboxes: 0.4699, loss: 8.3436 2022-09-29 10:35:29,884 - mmdet - INFO - Epoch [9][4100/7390] lr: 1.000e-03, eta: 3:35:59, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8733, losses_bboxes: 0.4711, loss: 8.3444 2022-09-29 10:35:55,332 - mmdet - INFO - Epoch [9][4150/7390] lr: 1.000e-03, eta: 3:35:34, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8733, losses_bboxes: 0.4706, loss: 8.3439 2022-09-29 10:36:21,247 - mmdet - INFO - Epoch [9][4200/7390] lr: 1.000e-03, eta: 3:35:08, time: 0.517, data_time: 0.009, memory: 43495, loss_cls: 7.8709, losses_bboxes: 0.4699, loss: 8.3408 2022-09-29 10:36:47,164 - mmdet - INFO - Epoch [9][4250/7390] lr: 1.000e-03, eta: 3:34:43, time: 0.519, data_time: 0.010, memory: 43495, loss_cls: 7.8799, losses_bboxes: 0.4704, loss: 8.3503 2022-09-29 10:37:12,735 - mmdet - INFO - Epoch [9][4300/7390] lr: 1.000e-03, eta: 3:34:18, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8734, losses_bboxes: 0.4700, loss: 8.3434 2022-09-29 10:37:37,821 - mmdet - INFO - Epoch [9][4350/7390] lr: 1.000e-03, eta: 3:33:52, time: 0.503, data_time: 0.011, memory: 43495, loss_cls: 7.8714, losses_bboxes: 0.4694, loss: 8.3408 2022-09-29 10:38:03,631 - mmdet - INFO - Epoch [9][4400/7390] lr: 1.000e-03, eta: 3:33:27, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8636, losses_bboxes: 0.4699, loss: 8.3334 2022-09-29 10:38:28,956 - mmdet - INFO - Epoch [9][4450/7390] lr: 1.000e-03, eta: 3:33:01, time: 0.506, data_time: 0.011, memory: 43495, loss_cls: 7.8680, losses_bboxes: 0.4669, loss: 8.3349 2022-09-29 10:38:54,296 - mmdet - INFO - Epoch [9][4500/7390] lr: 1.000e-03, eta: 3:32:36, time: 0.508, data_time: 0.012, memory: 43495, loss_cls: 7.8708, losses_bboxes: 0.4709, loss: 8.3417 2022-09-29 10:39:19,817 - mmdet - INFO - Epoch [9][4550/7390] lr: 1.000e-03, eta: 3:32:10, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8669, losses_bboxes: 0.4694, loss: 8.3363 2022-09-29 10:39:45,447 - mmdet - INFO - Epoch [9][4600/7390] lr: 1.000e-03, eta: 3:31:45, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8605, losses_bboxes: 0.4694, loss: 8.3299 2022-09-29 10:40:10,782 - mmdet - INFO - Epoch [9][4650/7390] lr: 1.000e-03, eta: 3:31:19, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8686, losses_bboxes: 0.4683, loss: 8.3369 2022-09-29 10:40:36,532 - mmdet - INFO - Epoch [9][4700/7390] lr: 1.000e-03, eta: 3:30:54, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8632, losses_bboxes: 0.4704, loss: 8.3336 2022-09-29 10:41:02,315 - mmdet - INFO - Epoch [9][4750/7390] lr: 1.000e-03, eta: 3:30:29, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8696, losses_bboxes: 0.4701, loss: 8.3397 2022-09-29 10:41:28,074 - mmdet - INFO - Epoch [9][4800/7390] lr: 1.000e-03, eta: 3:30:04, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8723, losses_bboxes: 0.4698, loss: 8.3420 2022-09-29 10:41:53,628 - mmdet - INFO - Epoch [9][4850/7390] lr: 1.000e-03, eta: 3:29:38, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8794, losses_bboxes: 0.4697, loss: 8.3491 2022-09-29 10:42:18,948 - mmdet - INFO - Epoch [9][4900/7390] lr: 1.000e-03, eta: 3:29:13, time: 0.506, data_time: 0.011, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4687, loss: 8.3377 2022-09-29 10:42:44,820 - mmdet - INFO - Epoch [9][4950/7390] lr: 1.000e-03, eta: 3:28:47, time: 0.519, data_time: 0.012, memory: 43495, loss_cls: 7.8804, losses_bboxes: 0.4694, loss: 8.3498 2022-09-29 10:43:10,432 - mmdet - INFO - Epoch [9][5000/7390] lr: 1.000e-03, eta: 3:28:22, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8665, losses_bboxes: 0.4690, loss: 8.3355 2022-09-29 10:43:35,786 - mmdet - INFO - Epoch [9][5050/7390] lr: 1.000e-03, eta: 3:27:56, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8691, losses_bboxes: 0.4696, loss: 8.3387 2022-09-29 10:44:01,042 - mmdet - INFO - Epoch [9][5100/7390] lr: 1.000e-03, eta: 3:27:31, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8751, losses_bboxes: 0.4683, loss: 8.3434 2022-09-29 10:44:26,560 - mmdet - INFO - Epoch [9][5150/7390] lr: 1.000e-03, eta: 3:27:05, time: 0.512, data_time: 0.012, memory: 43495, loss_cls: 7.8712, losses_bboxes: 0.4714, loss: 8.3425 2022-09-29 10:44:52,609 - mmdet - INFO - Epoch [9][5200/7390] lr: 1.000e-03, eta: 3:26:40, time: 0.520, data_time: 0.010, memory: 43495, loss_cls: 7.8678, losses_bboxes: 0.4700, loss: 8.3378 2022-09-29 10:45:17,707 - mmdet - INFO - Epoch [9][5250/7390] lr: 1.000e-03, eta: 3:26:15, time: 0.505, data_time: 0.012, memory: 43495, loss_cls: 7.8702, losses_bboxes: 0.4706, loss: 8.3408 2022-09-29 10:45:43,620 - mmdet - INFO - Epoch [9][5300/7390] lr: 1.000e-03, eta: 3:25:49, time: 0.517, data_time: 0.009, memory: 43495, loss_cls: 7.8651, losses_bboxes: 0.4683, loss: 8.3333 2022-09-29 10:46:09,038 - mmdet - INFO - Epoch [9][5350/7390] lr: 1.000e-03, eta: 3:25:24, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8776, losses_bboxes: 0.4701, loss: 8.3477 2022-09-29 10:46:34,593 - mmdet - INFO - Epoch [9][5400/7390] lr: 1.000e-03, eta: 3:24:58, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8696, losses_bboxes: 0.4682, loss: 8.3378 2022-09-29 10:47:00,538 - mmdet - INFO - Epoch [9][5450/7390] lr: 1.000e-03, eta: 3:24:33, time: 0.519, data_time: 0.010, memory: 43495, loss_cls: 7.8582, losses_bboxes: 0.4685, loss: 8.3268 2022-09-29 10:47:25,990 - mmdet - INFO - Epoch [9][5500/7390] lr: 1.000e-03, eta: 3:24:08, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8686, losses_bboxes: 0.4701, loss: 8.3387 2022-09-29 10:47:51,598 - mmdet - INFO - Epoch [9][5550/7390] lr: 1.000e-03, eta: 3:23:42, time: 0.515, data_time: 0.011, memory: 43495, loss_cls: 7.8702, losses_bboxes: 0.4694, loss: 8.3396 2022-09-29 10:48:17,387 - mmdet - INFO - Epoch [9][5600/7390] lr: 1.000e-03, eta: 3:23:17, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8693, losses_bboxes: 0.4693, loss: 8.3386 2022-09-29 10:48:42,800 - mmdet - INFO - Epoch [9][5650/7390] lr: 1.000e-03, eta: 3:22:52, time: 0.509, data_time: 0.012, memory: 43495, loss_cls: 7.8616, losses_bboxes: 0.4685, loss: 8.3301 2022-09-29 10:49:08,859 - mmdet - INFO - Epoch [9][5700/7390] lr: 1.000e-03, eta: 3:22:26, time: 0.523, data_time: 0.011, memory: 43495, loss_cls: 7.8748, losses_bboxes: 0.4697, loss: 8.3445 2022-09-29 10:49:34,761 - mmdet - INFO - Epoch [9][5750/7390] lr: 1.000e-03, eta: 3:22:01, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8644, losses_bboxes: 0.4709, loss: 8.3353 2022-09-29 10:50:00,594 - mmdet - INFO - Epoch [9][5800/7390] lr: 1.000e-03, eta: 3:21:36, time: 0.517, data_time: 0.013, memory: 43495, loss_cls: 7.8684, losses_bboxes: 0.4692, loss: 8.3375 2022-09-29 10:50:26,399 - mmdet - INFO - Epoch [9][5850/7390] lr: 1.000e-03, eta: 3:21:10, time: 0.517, data_time: 0.011, memory: 43495, loss_cls: 7.8733, losses_bboxes: 0.4695, loss: 8.3428 2022-09-29 10:50:51,932 - mmdet - INFO - Epoch [9][5900/7390] lr: 1.000e-03, eta: 3:20:45, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8695, losses_bboxes: 0.4689, loss: 8.3384 2022-09-29 10:51:17,270 - mmdet - INFO - Epoch [9][5950/7390] lr: 1.000e-03, eta: 3:20:19, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8757, losses_bboxes: 0.4703, loss: 8.3460 2022-09-29 10:51:42,898 - mmdet - INFO - Epoch [9][6000/7390] lr: 1.000e-03, eta: 3:19:54, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8799, losses_bboxes: 0.4709, loss: 8.3509 2022-09-29 10:52:08,653 - mmdet - INFO - Epoch [9][6050/7390] lr: 1.000e-03, eta: 3:19:29, time: 0.515, data_time: 0.011, memory: 43495, loss_cls: 7.8642, losses_bboxes: 0.4705, loss: 8.3347 2022-09-29 10:52:34,045 - mmdet - INFO - Epoch [9][6100/7390] lr: 1.000e-03, eta: 3:19:03, time: 0.509, data_time: 0.011, memory: 43495, loss_cls: 7.8610, losses_bboxes: 0.4709, loss: 8.3320 2022-09-29 10:52:59,822 - mmdet - INFO - Epoch [9][6150/7390] lr: 1.000e-03, eta: 3:18:38, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8624, losses_bboxes: 0.4703, loss: 8.3327 2022-09-29 10:53:25,260 - mmdet - INFO - Epoch [9][6200/7390] lr: 1.000e-03, eta: 3:18:12, time: 0.509, data_time: 0.012, memory: 43495, loss_cls: 7.8782, losses_bboxes: 0.4710, loss: 8.3492 2022-09-29 10:53:50,595 - mmdet - INFO - Epoch [9][6250/7390] lr: 1.000e-03, eta: 3:17:47, time: 0.507, data_time: 0.011, memory: 43495, loss_cls: 7.8664, losses_bboxes: 0.4676, loss: 8.3340 2022-09-29 10:54:15,513 - mmdet - INFO - Epoch [9][6300/7390] lr: 1.000e-03, eta: 3:17:21, time: 0.499, data_time: 0.011, memory: 43495, loss_cls: 7.8642, losses_bboxes: 0.4709, loss: 8.3351 2022-09-29 10:54:41,079 - mmdet - INFO - Epoch [9][6350/7390] lr: 1.000e-03, eta: 3:16:56, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8679, losses_bboxes: 0.4726, loss: 8.3405 2022-09-29 10:55:06,420 - mmdet - INFO - Epoch [9][6400/7390] lr: 1.000e-03, eta: 3:16:30, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8682, losses_bboxes: 0.4697, loss: 8.3379 2022-09-29 10:55:31,655 - mmdet - INFO - Epoch [9][6450/7390] lr: 1.000e-03, eta: 3:16:05, time: 0.504, data_time: 0.011, memory: 43495, loss_cls: 7.8648, losses_bboxes: 0.4722, loss: 8.3369 2022-09-29 10:55:57,262 - mmdet - INFO - Epoch [9][6500/7390] lr: 1.000e-03, eta: 3:15:39, time: 0.513, data_time: 0.012, memory: 43495, loss_cls: 7.8590, losses_bboxes: 0.4711, loss: 8.3301 2022-09-29 10:56:22,833 - mmdet - INFO - Epoch [9][6550/7390] lr: 1.000e-03, eta: 3:15:14, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8600, losses_bboxes: 0.4692, loss: 8.3292 2022-09-29 10:56:48,464 - mmdet - INFO - Epoch [9][6600/7390] lr: 1.000e-03, eta: 3:14:49, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4692, loss: 8.3382 2022-09-29 10:57:13,750 - mmdet - INFO - Epoch [9][6650/7390] lr: 1.000e-03, eta: 3:14:23, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8740, losses_bboxes: 0.4700, loss: 8.3441 2022-09-29 10:57:39,408 - mmdet - INFO - Epoch [9][6700/7390] lr: 1.000e-03, eta: 3:13:58, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8653, losses_bboxes: 0.4687, loss: 8.3340 2022-09-29 10:58:05,529 - mmdet - INFO - Epoch [9][6750/7390] lr: 1.000e-03, eta: 3:13:33, time: 0.523, data_time: 0.010, memory: 43495, loss_cls: 7.8724, losses_bboxes: 0.4708, loss: 8.3432 2022-09-29 10:58:30,576 - mmdet - INFO - Epoch [9][6800/7390] lr: 1.000e-03, eta: 3:13:07, time: 0.500, data_time: 0.010, memory: 43495, loss_cls: 7.8608, losses_bboxes: 0.4686, loss: 8.3295 2022-09-29 10:58:56,283 - mmdet - INFO - Epoch [9][6850/7390] lr: 1.000e-03, eta: 3:12:42, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4694, loss: 8.3385 2022-09-29 10:59:21,746 - mmdet - INFO - Epoch [9][6900/7390] lr: 1.000e-03, eta: 3:12:16, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8714, losses_bboxes: 0.4693, loss: 8.3407 2022-09-29 10:59:46,838 - mmdet - INFO - Epoch [9][6950/7390] lr: 1.000e-03, eta: 3:11:51, time: 0.502, data_time: 0.011, memory: 43495, loss_cls: 7.8752, losses_bboxes: 0.4716, loss: 8.3468 2022-09-29 11:00:12,835 - mmdet - INFO - Epoch [9][7000/7390] lr: 1.000e-03, eta: 3:11:25, time: 0.521, data_time: 0.012, memory: 43495, loss_cls: 7.8746, losses_bboxes: 0.4687, loss: 8.3432 2022-09-29 11:00:37,955 - mmdet - INFO - Epoch [9][7050/7390] lr: 1.000e-03, eta: 3:11:00, time: 0.499, data_time: 0.009, memory: 43495, loss_cls: 7.8533, losses_bboxes: 0.4703, loss: 8.3236 2022-09-29 11:01:03,236 - mmdet - INFO - Epoch [9][7100/7390] lr: 1.000e-03, eta: 3:10:34, time: 0.508, data_time: 0.012, memory: 43495, loss_cls: 7.8665, losses_bboxes: 0.4708, loss: 8.3374 2022-09-29 11:01:28,708 - mmdet - INFO - Epoch [9][7150/7390] lr: 1.000e-03, eta: 3:10:09, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8832, losses_bboxes: 0.4678, loss: 8.3511 2022-09-29 11:01:54,027 - mmdet - INFO - Epoch [9][7200/7390] lr: 1.000e-03, eta: 3:09:43, time: 0.507, data_time: 0.011, memory: 43495, loss_cls: 7.8667, losses_bboxes: 0.4698, loss: 8.3365 2022-09-29 11:02:19,514 - mmdet - INFO - Epoch [9][7250/7390] lr: 1.000e-03, eta: 3:09:18, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8673, losses_bboxes: 0.4695, loss: 8.3367 2022-09-29 11:02:44,515 - mmdet - INFO - Epoch [9][7300/7390] lr: 1.000e-03, eta: 3:08:52, time: 0.500, data_time: 0.009, memory: 43495, loss_cls: 7.8595, losses_bboxes: 0.4695, loss: 8.3290 2022-09-29 11:03:09,789 - mmdet - INFO - Epoch [9][7350/7390] lr: 1.000e-03, eta: 3:08:27, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8677, losses_bboxes: 0.4695, loss: 8.3371 2022-09-29 11:03:30,330 - mmdet - INFO - Saving checkpoint at 9 epochs 2022-09-29 11:04:00,401 - mmdet - INFO - Epoch [10][50/7390] lr: 1.000e-03, eta: 3:07:35, time: 0.580, data_time: 0.071, memory: 43495, loss_cls: 7.8775, losses_bboxes: 0.4662, loss: 8.3437 2022-09-29 11:04:25,773 - mmdet - INFO - Epoch [10][100/7390] lr: 1.000e-03, eta: 3:07:10, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8659, losses_bboxes: 0.4681, loss: 8.3340 2022-09-29 11:04:51,260 - mmdet - INFO - Epoch [10][150/7390] lr: 1.000e-03, eta: 3:06:44, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8712, losses_bboxes: 0.4712, loss: 8.3424 2022-09-29 11:05:16,874 - mmdet - INFO - Epoch [10][200/7390] lr: 1.000e-03, eta: 3:06:19, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8645, losses_bboxes: 0.4717, loss: 8.3362 2022-09-29 11:05:42,821 - mmdet - INFO - Epoch [10][250/7390] lr: 1.000e-03, eta: 3:05:54, time: 0.517, data_time: 0.008, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4707, loss: 8.3397 2022-09-29 11:06:08,528 - mmdet - INFO - Epoch [10][300/7390] lr: 1.000e-03, eta: 3:05:28, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8688, losses_bboxes: 0.4706, loss: 8.3394 2022-09-29 11:06:34,198 - mmdet - INFO - Epoch [10][350/7390] lr: 1.000e-03, eta: 3:05:03, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8744, losses_bboxes: 0.4693, loss: 8.3437 2022-09-29 11:06:59,924 - mmdet - INFO - Epoch [10][400/7390] lr: 1.000e-03, eta: 3:04:38, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8763, losses_bboxes: 0.4686, loss: 8.3449 2022-09-29 11:07:25,545 - mmdet - INFO - Epoch [10][450/7390] lr: 1.000e-03, eta: 3:04:12, time: 0.512, data_time: 0.008, memory: 43495, loss_cls: 7.8671, losses_bboxes: 0.4680, loss: 8.3351 2022-09-29 11:07:50,634 - mmdet - INFO - Epoch [10][500/7390] lr: 1.000e-03, eta: 3:03:47, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8714, losses_bboxes: 0.4714, loss: 8.3427 2022-09-29 11:08:16,301 - mmdet - INFO - Epoch [10][550/7390] lr: 1.000e-03, eta: 3:03:21, time: 0.513, data_time: 0.008, memory: 43495, loss_cls: 7.8634, losses_bboxes: 0.4692, loss: 8.3326 2022-09-29 11:08:41,430 - mmdet - INFO - Epoch [10][600/7390] lr: 1.000e-03, eta: 3:02:56, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8685, losses_bboxes: 0.4699, loss: 8.3385 2022-09-29 11:09:06,793 - mmdet - INFO - Epoch [10][650/7390] lr: 1.000e-03, eta: 3:02:30, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8680, losses_bboxes: 0.4702, loss: 8.3382 2022-09-29 11:09:32,321 - mmdet - INFO - Epoch [10][700/7390] lr: 1.000e-03, eta: 3:02:05, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8737, losses_bboxes: 0.4691, loss: 8.3428 2022-09-29 11:09:58,121 - mmdet - INFO - Epoch [10][750/7390] lr: 1.000e-03, eta: 3:01:39, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8687, losses_bboxes: 0.4714, loss: 8.3401 2022-09-29 11:10:23,750 - mmdet - INFO - Epoch [10][800/7390] lr: 1.000e-03, eta: 3:01:14, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8703, losses_bboxes: 0.4694, loss: 8.3396 2022-09-29 11:10:49,034 - mmdet - INFO - Epoch [10][850/7390] lr: 1.000e-03, eta: 3:00:49, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8692, losses_bboxes: 0.4690, loss: 8.3382 2022-09-29 11:11:14,759 - mmdet - INFO - Epoch [10][900/7390] lr: 1.000e-03, eta: 3:00:23, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8728, losses_bboxes: 0.4702, loss: 8.3431 2022-09-29 11:11:39,969 - mmdet - INFO - Epoch [10][950/7390] lr: 1.000e-03, eta: 2:59:58, time: 0.504, data_time: 0.008, memory: 43495, loss_cls: 7.8745, losses_bboxes: 0.4673, loss: 8.3418 2022-09-29 11:12:05,501 - mmdet - INFO - Epoch [10][1000/7390] lr: 1.000e-03, eta: 2:59:32, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8592, losses_bboxes: 0.4698, loss: 8.3289 2022-09-29 11:12:31,175 - mmdet - INFO - Epoch [10][1050/7390] lr: 1.000e-03, eta: 2:59:07, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8642, losses_bboxes: 0.4699, loss: 8.3341 2022-09-29 11:12:56,798 - mmdet - INFO - Epoch [10][1100/7390] lr: 1.000e-03, eta: 2:58:42, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8615, losses_bboxes: 0.4689, loss: 8.3303 2022-09-29 11:13:22,456 - mmdet - INFO - Epoch [10][1150/7390] lr: 1.000e-03, eta: 2:58:16, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8717, losses_bboxes: 0.4683, loss: 8.3401 2022-09-29 11:13:48,350 - mmdet - INFO - Epoch [10][1200/7390] lr: 1.000e-03, eta: 2:57:51, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8703, losses_bboxes: 0.4715, loss: 8.3418 2022-09-29 11:14:13,622 - mmdet - INFO - Epoch [10][1250/7390] lr: 1.000e-03, eta: 2:57:25, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8725, losses_bboxes: 0.4711, loss: 8.3436 2022-09-29 11:14:39,608 - mmdet - INFO - Epoch [10][1300/7390] lr: 1.000e-03, eta: 2:57:00, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8662, losses_bboxes: 0.4703, loss: 8.3365 2022-09-29 11:15:04,768 - mmdet - INFO - Epoch [10][1350/7390] lr: 1.000e-03, eta: 2:56:35, time: 0.504, data_time: 0.011, memory: 43495, loss_cls: 7.8762, losses_bboxes: 0.4691, loss: 8.3453 2022-09-29 11:15:30,202 - mmdet - INFO - Epoch [10][1400/7390] lr: 1.000e-03, eta: 2:56:09, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8767, losses_bboxes: 0.4697, loss: 8.3464 2022-09-29 11:15:55,500 - mmdet - INFO - Epoch [10][1450/7390] lr: 1.000e-03, eta: 2:55:44, time: 0.507, data_time: 0.011, memory: 43495, loss_cls: 7.8742, losses_bboxes: 0.4711, loss: 8.3453 2022-09-29 11:16:20,943 - mmdet - INFO - Epoch [10][1500/7390] lr: 1.000e-03, eta: 2:55:18, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8615, losses_bboxes: 0.4707, loss: 8.3322 2022-09-29 11:16:46,530 - mmdet - INFO - Epoch [10][1550/7390] lr: 1.000e-03, eta: 2:54:53, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8645, losses_bboxes: 0.4684, loss: 8.3329 2022-09-29 11:17:11,658 - mmdet - INFO - Epoch [10][1600/7390] lr: 1.000e-03, eta: 2:54:27, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8662, losses_bboxes: 0.4699, loss: 8.3361 2022-09-29 11:17:36,959 - mmdet - INFO - Epoch [10][1650/7390] lr: 1.000e-03, eta: 2:54:02, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8694, losses_bboxes: 0.4704, loss: 8.3397 2022-09-29 11:18:02,231 - mmdet - INFO - Epoch [10][1700/7390] lr: 1.000e-03, eta: 2:53:36, time: 0.505, data_time: 0.008, memory: 43495, loss_cls: 7.8528, losses_bboxes: 0.4671, loss: 8.3199 2022-09-29 11:18:27,972 - mmdet - INFO - Epoch [10][1750/7390] lr: 1.000e-03, eta: 2:53:11, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8742, losses_bboxes: 0.4701, loss: 8.3443 2022-09-29 11:18:53,480 - mmdet - INFO - Epoch [10][1800/7390] lr: 1.000e-03, eta: 2:52:45, time: 0.510, data_time: 0.008, memory: 43495, loss_cls: 7.8642, losses_bboxes: 0.4706, loss: 8.3348 2022-09-29 11:19:19,229 - mmdet - INFO - Epoch [10][1850/7390] lr: 1.000e-03, eta: 2:52:20, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8729, losses_bboxes: 0.4706, loss: 8.3435 2022-09-29 11:19:45,143 - mmdet - INFO - Epoch [10][1900/7390] lr: 1.000e-03, eta: 2:51:55, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8671, losses_bboxes: 0.4696, loss: 8.3367 2022-09-29 11:20:10,527 - mmdet - INFO - Epoch [10][1950/7390] lr: 1.000e-03, eta: 2:51:29, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8744, losses_bboxes: 0.4705, loss: 8.3449 2022-09-29 11:20:35,759 - mmdet - INFO - Epoch [10][2000/7390] lr: 1.000e-03, eta: 2:51:04, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8737, losses_bboxes: 0.4680, loss: 8.3416 2022-09-29 11:21:00,935 - mmdet - INFO - Epoch [10][2050/7390] lr: 1.000e-03, eta: 2:50:38, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8590, losses_bboxes: 0.4694, loss: 8.3285 2022-09-29 11:21:26,721 - mmdet - INFO - Epoch [10][2100/7390] lr: 1.000e-03, eta: 2:50:13, time: 0.517, data_time: 0.011, memory: 43495, loss_cls: 7.8656, losses_bboxes: 0.4703, loss: 8.3359 2022-09-29 11:21:52,255 - mmdet - INFO - Epoch [10][2150/7390] lr: 1.000e-03, eta: 2:49:48, time: 0.510, data_time: 0.008, memory: 43495, loss_cls: 7.8657, losses_bboxes: 0.4702, loss: 8.3359 2022-09-29 11:22:17,585 - mmdet - INFO - Epoch [10][2200/7390] lr: 1.000e-03, eta: 2:49:22, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8650, losses_bboxes: 0.4692, loss: 8.3343 2022-09-29 11:22:43,290 - mmdet - INFO - Epoch [10][2250/7390] lr: 1.000e-03, eta: 2:48:57, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8740, losses_bboxes: 0.4695, loss: 8.3435 2022-09-29 11:23:08,749 - mmdet - INFO - Epoch [10][2300/7390] lr: 1.000e-03, eta: 2:48:31, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8640, losses_bboxes: 0.4699, loss: 8.3339 2022-09-29 11:23:34,138 - mmdet - INFO - Epoch [10][2350/7390] lr: 1.000e-03, eta: 2:48:06, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8637, losses_bboxes: 0.4690, loss: 8.3328 2022-09-29 11:23:59,223 - mmdet - INFO - Epoch [10][2400/7390] lr: 1.000e-03, eta: 2:47:40, time: 0.500, data_time: 0.009, memory: 43495, loss_cls: 7.8709, losses_bboxes: 0.4688, loss: 8.3397 2022-09-29 11:24:24,745 - mmdet - INFO - Epoch [10][2450/7390] lr: 1.000e-03, eta: 2:47:15, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8784, losses_bboxes: 0.4695, loss: 8.3479 2022-09-29 11:24:50,719 - mmdet - INFO - Epoch [10][2500/7390] lr: 1.000e-03, eta: 2:46:50, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8680, losses_bboxes: 0.4704, loss: 8.3384 2022-09-29 11:25:16,091 - mmdet - INFO - Epoch [10][2550/7390] lr: 1.000e-03, eta: 2:46:24, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8762, losses_bboxes: 0.4691, loss: 8.3453 2022-09-29 11:25:41,792 - mmdet - INFO - Epoch [10][2600/7390] lr: 1.000e-03, eta: 2:45:59, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4704, loss: 8.3394 2022-09-29 11:26:06,679 - mmdet - INFO - Epoch [10][2650/7390] lr: 1.000e-03, eta: 2:45:33, time: 0.499, data_time: 0.010, memory: 43495, loss_cls: 7.8679, losses_bboxes: 0.4681, loss: 8.3361 2022-09-29 11:26:32,475 - mmdet - INFO - Epoch [10][2700/7390] lr: 1.000e-03, eta: 2:45:08, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8696, losses_bboxes: 0.4697, loss: 8.3393 2022-09-29 11:26:57,715 - mmdet - INFO - Epoch [10][2750/7390] lr: 1.000e-03, eta: 2:44:42, time: 0.506, data_time: 0.011, memory: 43495, loss_cls: 7.8663, losses_bboxes: 0.4671, loss: 8.3334 2022-09-29 11:27:23,077 - mmdet - INFO - Epoch [10][2800/7390] lr: 1.000e-03, eta: 2:44:17, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8677, losses_bboxes: 0.4696, loss: 8.3373 2022-09-29 11:27:48,709 - mmdet - INFO - Epoch [10][2850/7390] lr: 1.000e-03, eta: 2:43:51, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8803, losses_bboxes: 0.4689, loss: 8.3491 2022-09-29 11:28:13,964 - mmdet - INFO - Epoch [10][2900/7390] lr: 1.000e-03, eta: 2:43:26, time: 0.504, data_time: 0.008, memory: 43495, loss_cls: 7.8709, losses_bboxes: 0.4676, loss: 8.3386 2022-09-29 11:28:39,242 - mmdet - INFO - Epoch [10][2950/7390] lr: 1.000e-03, eta: 2:43:00, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8713, losses_bboxes: 0.4691, loss: 8.3405 2022-09-29 11:29:04,845 - mmdet - INFO - Epoch [10][3000/7390] lr: 1.000e-03, eta: 2:42:35, time: 0.510, data_time: 0.008, memory: 43495, loss_cls: 7.8637, losses_bboxes: 0.4685, loss: 8.3322 2022-09-29 11:29:29,380 - mmdet - INFO - Epoch [10][3050/7390] lr: 1.000e-03, eta: 2:42:09, time: 0.492, data_time: 0.011, memory: 43495, loss_cls: 7.8685, losses_bboxes: 0.4691, loss: 8.3376 2022-09-29 11:29:54,780 - mmdet - INFO - Epoch [10][3100/7390] lr: 1.000e-03, eta: 2:41:44, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8771, losses_bboxes: 0.4694, loss: 8.3464 2022-09-29 11:30:20,190 - mmdet - INFO - Epoch [10][3150/7390] lr: 1.000e-03, eta: 2:41:18, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8691, losses_bboxes: 0.4695, loss: 8.3385 2022-09-29 11:30:44,970 - mmdet - INFO - Epoch [10][3200/7390] lr: 1.000e-03, eta: 2:40:53, time: 0.495, data_time: 0.010, memory: 43495, loss_cls: 7.8598, losses_bboxes: 0.4700, loss: 8.3298 2022-09-29 11:31:10,218 - mmdet - INFO - Epoch [10][3250/7390] lr: 1.000e-03, eta: 2:40:27, time: 0.507, data_time: 0.011, memory: 43495, loss_cls: 7.8734, losses_bboxes: 0.4687, loss: 8.3422 2022-09-29 11:31:35,962 - mmdet - INFO - Epoch [10][3300/7390] lr: 1.000e-03, eta: 2:40:02, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8789, losses_bboxes: 0.4717, loss: 8.3506 2022-09-29 11:32:01,743 - mmdet - INFO - Epoch [10][3350/7390] lr: 1.000e-03, eta: 2:39:37, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8606, losses_bboxes: 0.4710, loss: 8.3316 2022-09-29 11:32:27,140 - mmdet - INFO - Epoch [10][3400/7390] lr: 1.000e-03, eta: 2:39:11, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8689, losses_bboxes: 0.4691, loss: 8.3381 2022-09-29 11:32:52,836 - mmdet - INFO - Epoch [10][3450/7390] lr: 1.000e-03, eta: 2:38:46, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8651, losses_bboxes: 0.4694, loss: 8.3345 2022-09-29 11:33:18,151 - mmdet - INFO - Epoch [10][3500/7390] lr: 1.000e-03, eta: 2:38:20, time: 0.506, data_time: 0.011, memory: 43495, loss_cls: 7.8744, losses_bboxes: 0.4689, loss: 8.3433 2022-09-29 11:33:44,093 - mmdet - INFO - Epoch [10][3550/7390] lr: 1.000e-03, eta: 2:37:55, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8672, losses_bboxes: 0.4697, loss: 8.3368 2022-09-29 11:34:09,956 - mmdet - INFO - Epoch [10][3600/7390] lr: 1.000e-03, eta: 2:37:30, time: 0.519, data_time: 0.011, memory: 43495, loss_cls: 7.8713, losses_bboxes: 0.4722, loss: 8.3435 2022-09-29 11:34:35,730 - mmdet - INFO - Epoch [10][3650/7390] lr: 1.000e-03, eta: 2:37:04, time: 0.514, data_time: 0.008, memory: 43495, loss_cls: 7.8718, losses_bboxes: 0.4705, loss: 8.3423 2022-09-29 11:35:01,094 - mmdet - INFO - Epoch [10][3700/7390] lr: 1.000e-03, eta: 2:36:39, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8727, losses_bboxes: 0.4690, loss: 8.3417 2022-09-29 11:35:26,579 - mmdet - INFO - Epoch [10][3750/7390] lr: 1.000e-03, eta: 2:36:13, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8745, losses_bboxes: 0.4707, loss: 8.3452 2022-09-29 11:35:52,449 - mmdet - INFO - Epoch [10][3800/7390] lr: 1.000e-03, eta: 2:35:48, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8709, losses_bboxes: 0.4703, loss: 8.3412 2022-09-29 11:36:17,751 - mmdet - INFO - Epoch [10][3850/7390] lr: 1.000e-03, eta: 2:35:23, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8601, losses_bboxes: 0.4690, loss: 8.3291 2022-09-29 11:36:43,467 - mmdet - INFO - Epoch [10][3900/7390] lr: 1.000e-03, eta: 2:34:57, time: 0.515, data_time: 0.012, memory: 43495, loss_cls: 7.8686, losses_bboxes: 0.4693, loss: 8.3379 2022-09-29 11:37:08,736 - mmdet - INFO - Epoch [10][3950/7390] lr: 1.000e-03, eta: 2:34:32, time: 0.507, data_time: 0.011, memory: 43495, loss_cls: 7.8576, losses_bboxes: 0.4712, loss: 8.3287 2022-09-29 11:37:34,211 - mmdet - INFO - Epoch [10][4000/7390] lr: 1.000e-03, eta: 2:34:06, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8657, losses_bboxes: 0.4707, loss: 8.3364 2022-09-29 11:37:59,287 - mmdet - INFO - Epoch [10][4050/7390] lr: 1.000e-03, eta: 2:33:41, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8753, losses_bboxes: 0.4671, loss: 8.3424 2022-09-29 11:38:24,633 - mmdet - INFO - Epoch [10][4100/7390] lr: 1.000e-03, eta: 2:33:15, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8642, losses_bboxes: 0.4695, loss: 8.3337 2022-09-29 11:38:50,377 - mmdet - INFO - Epoch [10][4150/7390] lr: 1.000e-03, eta: 2:32:50, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8700, losses_bboxes: 0.4701, loss: 8.3401 2022-09-29 11:39:15,975 - mmdet - INFO - Epoch [10][4200/7390] lr: 1.000e-03, eta: 2:32:24, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8684, losses_bboxes: 0.4686, loss: 8.3370 2022-09-29 11:39:41,611 - mmdet - INFO - Epoch [10][4250/7390] lr: 1.000e-03, eta: 2:31:59, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8763, losses_bboxes: 0.4702, loss: 8.3464 2022-09-29 11:40:07,101 - mmdet - INFO - Epoch [10][4300/7390] lr: 1.000e-03, eta: 2:31:34, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8629, losses_bboxes: 0.4695, loss: 8.3324 2022-09-29 11:40:32,162 - mmdet - INFO - Epoch [10][4350/7390] lr: 1.000e-03, eta: 2:31:08, time: 0.500, data_time: 0.009, memory: 43495, loss_cls: 7.8672, losses_bboxes: 0.4700, loss: 8.3373 2022-09-29 11:40:57,768 - mmdet - INFO - Epoch [10][4400/7390] lr: 1.000e-03, eta: 2:30:43, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8674, losses_bboxes: 0.4689, loss: 8.3363 2022-09-29 11:41:23,053 - mmdet - INFO - Epoch [10][4450/7390] lr: 1.000e-03, eta: 2:30:17, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8625, losses_bboxes: 0.4703, loss: 8.3328 2022-09-29 11:41:48,697 - mmdet - INFO - Epoch [10][4500/7390] lr: 1.000e-03, eta: 2:29:52, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8662, losses_bboxes: 0.4696, loss: 8.3359 2022-09-29 11:42:14,250 - mmdet - INFO - Epoch [10][4550/7390] lr: 1.000e-03, eta: 2:29:26, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8692, losses_bboxes: 0.4688, loss: 8.3380 2022-09-29 11:42:39,501 - mmdet - INFO - Epoch [10][4600/7390] lr: 1.000e-03, eta: 2:29:01, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8688, losses_bboxes: 0.4702, loss: 8.3389 2022-09-29 11:43:05,338 - mmdet - INFO - Epoch [10][4650/7390] lr: 1.000e-03, eta: 2:28:36, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8699, losses_bboxes: 0.4687, loss: 8.3386 2022-09-29 11:43:30,458 - mmdet - INFO - Epoch [10][4700/7390] lr: 1.000e-03, eta: 2:28:10, time: 0.501, data_time: 0.009, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4696, loss: 8.3386 2022-09-29 11:43:56,137 - mmdet - INFO - Epoch [10][4750/7390] lr: 1.000e-03, eta: 2:27:45, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8628, losses_bboxes: 0.4693, loss: 8.3321 2022-09-29 11:44:21,716 - mmdet - INFO - Epoch [10][4800/7390] lr: 1.000e-03, eta: 2:27:19, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8593, losses_bboxes: 0.4694, loss: 8.3287 2022-09-29 11:44:47,794 - mmdet - INFO - Epoch [10][4850/7390] lr: 1.000e-03, eta: 2:26:54, time: 0.522, data_time: 0.009, memory: 43495, loss_cls: 7.8701, losses_bboxes: 0.4720, loss: 8.3421 2022-09-29 11:45:13,434 - mmdet - INFO - Epoch [10][4900/7390] lr: 1.000e-03, eta: 2:26:29, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8791, losses_bboxes: 0.4726, loss: 8.3517 2022-09-29 11:45:38,863 - mmdet - INFO - Epoch [10][4950/7390] lr: 1.000e-03, eta: 2:26:03, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8710, losses_bboxes: 0.4706, loss: 8.3416 2022-09-29 11:46:04,499 - mmdet - INFO - Epoch [10][5000/7390] lr: 1.000e-03, eta: 2:25:38, time: 0.515, data_time: 0.011, memory: 43495, loss_cls: 7.8725, losses_bboxes: 0.4700, loss: 8.3425 2022-09-29 11:46:30,175 - mmdet - INFO - Epoch [10][5050/7390] lr: 1.000e-03, eta: 2:25:12, time: 0.514, data_time: 0.008, memory: 43495, loss_cls: 7.8756, losses_bboxes: 0.4702, loss: 8.3458 2022-09-29 11:46:55,563 - mmdet - INFO - Epoch [10][5100/7390] lr: 1.000e-03, eta: 2:24:47, time: 0.507, data_time: 0.008, memory: 43495, loss_cls: 7.8706, losses_bboxes: 0.4674, loss: 8.3380 2022-09-29 11:47:21,251 - mmdet - INFO - Epoch [10][5150/7390] lr: 1.000e-03, eta: 2:24:21, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8674, losses_bboxes: 0.4706, loss: 8.3380 2022-09-29 11:47:47,157 - mmdet - INFO - Epoch [10][5200/7390] lr: 1.000e-03, eta: 2:23:56, time: 0.518, data_time: 0.008, memory: 43495, loss_cls: 7.8716, losses_bboxes: 0.4711, loss: 8.3427 2022-09-29 11:48:12,771 - mmdet - INFO - Epoch [10][5250/7390] lr: 1.000e-03, eta: 2:23:31, time: 0.512, data_time: 0.008, memory: 43495, loss_cls: 7.8740, losses_bboxes: 0.4698, loss: 8.3439 2022-09-29 11:48:38,910 - mmdet - INFO - Epoch [10][5300/7390] lr: 1.000e-03, eta: 2:23:05, time: 0.523, data_time: 0.009, memory: 43495, loss_cls: 7.8668, losses_bboxes: 0.4699, loss: 8.3367 2022-09-29 11:49:04,774 - mmdet - INFO - Epoch [10][5350/7390] lr: 1.000e-03, eta: 2:22:40, time: 0.516, data_time: 0.008, memory: 43495, loss_cls: 7.8623, losses_bboxes: 0.4676, loss: 8.3299 2022-09-29 11:49:29,842 - mmdet - INFO - Epoch [10][5400/7390] lr: 1.000e-03, eta: 2:22:15, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8764, losses_bboxes: 0.4687, loss: 8.3451 2022-09-29 11:49:55,385 - mmdet - INFO - Epoch [10][5450/7390] lr: 1.000e-03, eta: 2:21:49, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8670, losses_bboxes: 0.4714, loss: 8.3385 2022-09-29 11:50:20,546 - mmdet - INFO - Epoch [10][5500/7390] lr: 1.000e-03, eta: 2:21:24, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8807, losses_bboxes: 0.4679, loss: 8.3486 2022-09-29 11:50:45,850 - mmdet - INFO - Epoch [10][5550/7390] lr: 1.000e-03, eta: 2:20:58, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8722, losses_bboxes: 0.4688, loss: 8.3410 2022-09-29 11:51:11,212 - mmdet - INFO - Epoch [10][5600/7390] lr: 1.000e-03, eta: 2:20:33, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8717, losses_bboxes: 0.4704, loss: 8.3421 2022-09-29 11:51:36,572 - mmdet - INFO - Epoch [10][5650/7390] lr: 1.000e-03, eta: 2:20:07, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8639, losses_bboxes: 0.4690, loss: 8.3329 2022-09-29 11:52:01,945 - mmdet - INFO - Epoch [10][5700/7390] lr: 1.000e-03, eta: 2:19:42, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8706, losses_bboxes: 0.4708, loss: 8.3414 2022-09-29 11:52:27,617 - mmdet - INFO - Epoch [10][5750/7390] lr: 1.000e-03, eta: 2:19:16, time: 0.512, data_time: 0.008, memory: 43495, loss_cls: 7.8661, losses_bboxes: 0.4690, loss: 8.3351 2022-09-29 11:52:52,986 - mmdet - INFO - Epoch [10][5800/7390] lr: 1.000e-03, eta: 2:18:51, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8634, losses_bboxes: 0.4694, loss: 8.3328 2022-09-29 11:53:18,766 - mmdet - INFO - Epoch [10][5850/7390] lr: 1.000e-03, eta: 2:18:25, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8746, losses_bboxes: 0.4691, loss: 8.3436 2022-09-29 11:53:44,343 - mmdet - INFO - Epoch [10][5900/7390] lr: 1.000e-03, eta: 2:18:00, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8684, losses_bboxes: 0.4697, loss: 8.3381 2022-09-29 11:54:09,537 - mmdet - INFO - Epoch [10][5950/7390] lr: 1.000e-03, eta: 2:17:35, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8631, losses_bboxes: 0.4676, loss: 8.3308 2022-09-29 11:54:35,300 - mmdet - INFO - Epoch [10][6000/7390] lr: 1.000e-03, eta: 2:17:09, time: 0.514, data_time: 0.008, memory: 43495, loss_cls: 7.8725, losses_bboxes: 0.4693, loss: 8.3418 2022-09-29 11:55:01,081 - mmdet - INFO - Epoch [10][6050/7390] lr: 1.000e-03, eta: 2:16:44, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8774, losses_bboxes: 0.4700, loss: 8.3475 2022-09-29 11:55:26,605 - mmdet - INFO - Epoch [10][6100/7390] lr: 1.000e-03, eta: 2:16:18, time: 0.511, data_time: 0.008, memory: 43495, loss_cls: 7.8725, losses_bboxes: 0.4705, loss: 8.3431 2022-09-29 11:55:51,936 - mmdet - INFO - Epoch [10][6150/7390] lr: 1.000e-03, eta: 2:15:53, time: 0.507, data_time: 0.008, memory: 43495, loss_cls: 7.8608, losses_bboxes: 0.4712, loss: 8.3320 2022-09-29 11:56:17,583 - mmdet - INFO - Epoch [10][6200/7390] lr: 1.000e-03, eta: 2:15:27, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8797, losses_bboxes: 0.4688, loss: 8.3485 2022-09-29 11:56:42,854 - mmdet - INFO - Epoch [10][6250/7390] lr: 1.000e-03, eta: 2:15:02, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8730, losses_bboxes: 0.4700, loss: 8.3430 2022-09-29 11:57:07,946 - mmdet - INFO - Epoch [10][6300/7390] lr: 1.000e-03, eta: 2:14:36, time: 0.499, data_time: 0.008, memory: 43495, loss_cls: 7.8668, losses_bboxes: 0.4700, loss: 8.3368 2022-09-29 11:57:34,004 - mmdet - INFO - Epoch [10][6350/7390] lr: 1.000e-03, eta: 2:14:11, time: 0.522, data_time: 0.011, memory: 43495, loss_cls: 7.8589, losses_bboxes: 0.4709, loss: 8.3298 2022-09-29 11:57:59,092 - mmdet - INFO - Epoch [10][6400/7390] lr: 1.000e-03, eta: 2:13:46, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8599, losses_bboxes: 0.4692, loss: 8.3291 2022-09-29 11:58:24,739 - mmdet - INFO - Epoch [10][6450/7390] lr: 1.000e-03, eta: 2:13:20, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8637, losses_bboxes: 0.4701, loss: 8.3337 2022-09-29 11:58:50,817 - mmdet - INFO - Epoch [10][6500/7390] lr: 1.000e-03, eta: 2:12:55, time: 0.521, data_time: 0.010, memory: 43495, loss_cls: 7.8677, losses_bboxes: 0.4691, loss: 8.3367 2022-09-29 11:59:16,138 - mmdet - INFO - Epoch [10][6550/7390] lr: 1.000e-03, eta: 2:12:29, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8589, losses_bboxes: 0.4697, loss: 8.3286 2022-09-29 11:59:41,917 - mmdet - INFO - Epoch [10][6600/7390] lr: 1.000e-03, eta: 2:12:04, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8811, losses_bboxes: 0.4671, loss: 8.3482 2022-09-29 12:00:07,422 - mmdet - INFO - Epoch [10][6650/7390] lr: 1.000e-03, eta: 2:11:39, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8733, losses_bboxes: 0.4696, loss: 8.3428 2022-09-29 12:00:33,136 - mmdet - INFO - Epoch [10][6700/7390] lr: 1.000e-03, eta: 2:11:13, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8724, losses_bboxes: 0.4704, loss: 8.3428 2022-09-29 12:00:58,737 - mmdet - INFO - Epoch [10][6750/7390] lr: 1.000e-03, eta: 2:10:48, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8693, losses_bboxes: 0.4705, loss: 8.3398 2022-09-29 12:01:24,491 - mmdet - INFO - Epoch [10][6800/7390] lr: 1.000e-03, eta: 2:10:22, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8736, losses_bboxes: 0.4711, loss: 8.3448 2022-09-29 12:01:49,627 - mmdet - INFO - Epoch [10][6850/7390] lr: 1.000e-03, eta: 2:09:57, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8686, losses_bboxes: 0.4695, loss: 8.3382 2022-09-29 12:02:15,264 - mmdet - INFO - Epoch [10][6900/7390] lr: 1.000e-03, eta: 2:09:32, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8705, losses_bboxes: 0.4706, loss: 8.3411 2022-09-29 12:02:40,872 - mmdet - INFO - Epoch [10][6950/7390] lr: 1.000e-03, eta: 2:09:06, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8662, losses_bboxes: 0.4682, loss: 8.3344 2022-09-29 12:03:06,126 - mmdet - INFO - Epoch [10][7000/7390] lr: 1.000e-03, eta: 2:08:41, time: 0.506, data_time: 0.011, memory: 43495, loss_cls: 7.8626, losses_bboxes: 0.4697, loss: 8.3322 2022-09-29 12:03:31,478 - mmdet - INFO - Epoch [10][7050/7390] lr: 1.000e-03, eta: 2:08:15, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8633, losses_bboxes: 0.4705, loss: 8.3338 2022-09-29 12:03:57,488 - mmdet - INFO - Epoch [10][7100/7390] lr: 1.000e-03, eta: 2:07:50, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8639, losses_bboxes: 0.4690, loss: 8.3329 2022-09-29 12:04:23,113 - mmdet - INFO - Epoch [10][7150/7390] lr: 1.000e-03, eta: 2:07:24, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8683, losses_bboxes: 0.4683, loss: 8.3366 2022-09-29 12:04:48,521 - mmdet - INFO - Epoch [10][7200/7390] lr: 1.000e-03, eta: 2:06:59, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8730, losses_bboxes: 0.4707, loss: 8.3437 2022-09-29 12:05:14,041 - mmdet - INFO - Epoch [10][7250/7390] lr: 1.000e-03, eta: 2:06:33, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8568, losses_bboxes: 0.4695, loss: 8.3262 2022-09-29 12:05:39,084 - mmdet - INFO - Epoch [10][7300/7390] lr: 1.000e-03, eta: 2:06:08, time: 0.501, data_time: 0.010, memory: 43495, loss_cls: 7.8784, losses_bboxes: 0.4696, loss: 8.3480 2022-09-29 12:06:05,011 - mmdet - INFO - Epoch [10][7350/7390] lr: 1.000e-03, eta: 2:05:43, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8697, losses_bboxes: 0.4716, loss: 8.3413 2022-09-29 12:06:25,598 - mmdet - INFO - Saving checkpoint at 10 epochs 2022-09-29 12:06:55,060 - mmdet - INFO - Epoch [11][50/7390] lr: 1.000e-03, eta: 2:04:53, time: 0.567, data_time: 0.070, memory: 43495, loss_cls: 7.8723, losses_bboxes: 0.4678, loss: 8.3401 2022-09-29 12:07:20,657 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 12:07:20,657 - mmdet - INFO - Epoch [11][100/7390] lr: 1.000e-03, eta: 2:04:28, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8663, losses_bboxes: 0.4673, loss: 8.3336 2022-09-29 12:07:46,240 - mmdet - INFO - Epoch [11][150/7390] lr: 1.000e-03, eta: 2:04:02, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8729, losses_bboxes: 0.4707, loss: 8.3436 2022-09-29 12:08:12,130 - mmdet - INFO - Epoch [11][200/7390] lr: 1.000e-03, eta: 2:03:37, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8792, losses_bboxes: 0.4714, loss: 8.3505 2022-09-29 12:08:37,791 - mmdet - INFO - Epoch [11][250/7390] lr: 1.000e-03, eta: 2:03:12, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8718, losses_bboxes: 0.4707, loss: 8.3425 2022-09-29 12:09:03,310 - mmdet - INFO - Epoch [11][300/7390] lr: 1.000e-03, eta: 2:02:46, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8742, losses_bboxes: 0.4700, loss: 8.3442 2022-09-29 12:09:29,215 - mmdet - INFO - Epoch [11][350/7390] lr: 1.000e-03, eta: 2:02:21, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8730, losses_bboxes: 0.4710, loss: 8.3440 2022-09-29 12:09:54,852 - mmdet - INFO - Epoch [11][400/7390] lr: 1.000e-03, eta: 2:01:56, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8667, losses_bboxes: 0.4689, loss: 8.3356 2022-09-29 12:10:20,504 - mmdet - INFO - Epoch [11][450/7390] lr: 1.000e-03, eta: 2:01:30, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8725, losses_bboxes: 0.4678, loss: 8.3403 2022-09-29 12:10:45,830 - mmdet - INFO - Epoch [11][500/7390] lr: 1.000e-03, eta: 2:01:05, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8676, losses_bboxes: 0.4699, loss: 8.3374 2022-09-29 12:11:11,071 - mmdet - INFO - Epoch [11][550/7390] lr: 1.000e-03, eta: 2:00:39, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8646, losses_bboxes: 0.4711, loss: 8.3357 2022-09-29 12:11:36,373 - mmdet - INFO - Epoch [11][600/7390] lr: 1.000e-03, eta: 2:00:14, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8713, losses_bboxes: 0.4684, loss: 8.3397 2022-09-29 12:12:01,793 - mmdet - INFO - Epoch [11][650/7390] lr: 1.000e-03, eta: 1:59:48, time: 0.508, data_time: 0.008, memory: 43495, loss_cls: 7.8664, losses_bboxes: 0.4713, loss: 8.3377 2022-09-29 12:12:27,291 - mmdet - INFO - Epoch [11][700/7390] lr: 1.000e-03, eta: 1:59:23, time: 0.509, data_time: 0.008, memory: 43495, loss_cls: 7.8611, losses_bboxes: 0.4694, loss: 8.3305 2022-09-29 12:12:52,632 - mmdet - INFO - Epoch [11][750/7390] lr: 1.000e-03, eta: 1:58:57, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8689, losses_bboxes: 0.4717, loss: 8.3406 2022-09-29 12:13:18,167 - mmdet - INFO - Epoch [11][800/7390] lr: 1.000e-03, eta: 1:58:32, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8654, losses_bboxes: 0.4695, loss: 8.3350 2022-09-29 12:13:43,781 - mmdet - INFO - Epoch [11][850/7390] lr: 1.000e-03, eta: 1:58:07, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8630, losses_bboxes: 0.4678, loss: 8.3308 2022-09-29 12:14:09,113 - mmdet - INFO - Epoch [11][900/7390] lr: 1.000e-03, eta: 1:57:41, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8712, losses_bboxes: 0.4696, loss: 8.3408 2022-09-29 12:14:34,343 - mmdet - INFO - Epoch [11][950/7390] lr: 1.000e-03, eta: 1:57:16, time: 0.504, data_time: 0.008, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4695, loss: 8.3385 2022-09-29 12:14:59,553 - mmdet - INFO - Epoch [11][1000/7390] lr: 1.000e-03, eta: 1:56:50, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8674, losses_bboxes: 0.4690, loss: 8.3363 2022-09-29 12:15:24,708 - mmdet - INFO - Epoch [11][1050/7390] lr: 1.000e-03, eta: 1:56:25, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8716, losses_bboxes: 0.4678, loss: 8.3394 2022-09-29 12:15:50,097 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 12:15:50,098 - mmdet - INFO - Epoch [11][1100/7390] lr: 1.000e-03, eta: 1:55:59, time: 0.508, data_time: 0.011, memory: 43495, loss_cls: 7.8654, losses_bboxes: 0.4688, loss: 8.3342 2022-09-29 12:16:15,751 - mmdet - INFO - Epoch [11][1150/7390] lr: 1.000e-03, eta: 1:55:34, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8643, losses_bboxes: 0.4701, loss: 8.3343 2022-09-29 12:16:40,668 - mmdet - INFO - Epoch [11][1200/7390] lr: 1.000e-03, eta: 1:55:08, time: 0.500, data_time: 0.011, memory: 43495, loss_cls: 7.8702, losses_bboxes: 0.4700, loss: 8.3401 2022-09-29 12:17:05,728 - mmdet - INFO - Epoch [11][1250/7390] lr: 1.000e-03, eta: 1:54:43, time: 0.500, data_time: 0.008, memory: 43495, loss_cls: 7.8647, losses_bboxes: 0.4687, loss: 8.3334 2022-09-29 12:17:31,365 - mmdet - INFO - Epoch [11][1300/7390] lr: 1.000e-03, eta: 1:54:17, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8585, losses_bboxes: 0.4705, loss: 8.3290 2022-09-29 12:17:57,064 - mmdet - INFO - Epoch [11][1350/7390] lr: 1.000e-03, eta: 1:53:52, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8706, losses_bboxes: 0.4694, loss: 8.3400 2022-09-29 12:18:22,462 - mmdet - INFO - Epoch [11][1400/7390] lr: 1.000e-03, eta: 1:53:27, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8689, losses_bboxes: 0.4662, loss: 8.3351 2022-09-29 12:18:48,278 - mmdet - INFO - Epoch [11][1450/7390] lr: 1.000e-03, eta: 1:53:01, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8696, losses_bboxes: 0.4711, loss: 8.3406 2022-09-29 12:19:13,602 - mmdet - INFO - Epoch [11][1500/7390] lr: 1.000e-03, eta: 1:52:36, time: 0.509, data_time: 0.012, memory: 43495, loss_cls: 7.8573, losses_bboxes: 0.4692, loss: 8.3265 2022-09-29 12:19:39,693 - mmdet - INFO - Epoch [11][1550/7390] lr: 1.000e-03, eta: 1:52:10, time: 0.522, data_time: 0.010, memory: 43495, loss_cls: 7.8592, losses_bboxes: 0.4683, loss: 8.3276 2022-09-29 12:20:05,372 - mmdet - INFO - Epoch [11][1600/7390] lr: 1.000e-03, eta: 1:51:45, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8648, losses_bboxes: 0.4686, loss: 8.3334 2022-09-29 12:20:30,524 - mmdet - INFO - Epoch [11][1650/7390] lr: 1.000e-03, eta: 1:51:20, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8561, losses_bboxes: 0.4692, loss: 8.3254 2022-09-29 12:20:56,479 - mmdet - INFO - Epoch [11][1700/7390] lr: 1.000e-03, eta: 1:50:54, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8695, losses_bboxes: 0.4709, loss: 8.3404 2022-09-29 12:21:22,152 - mmdet - INFO - Epoch [11][1750/7390] lr: 1.000e-03, eta: 1:50:29, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8657, losses_bboxes: 0.4701, loss: 8.3357 2022-09-29 12:21:47,233 - mmdet - INFO - Epoch [11][1800/7390] lr: 1.000e-03, eta: 1:50:03, time: 0.500, data_time: 0.009, memory: 43495, loss_cls: 7.8741, losses_bboxes: 0.4689, loss: 8.3430 2022-09-29 12:22:12,799 - mmdet - INFO - Epoch [11][1850/7390] lr: 1.000e-03, eta: 1:49:38, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8673, losses_bboxes: 0.4686, loss: 8.3359 2022-09-29 12:22:37,844 - mmdet - INFO - Epoch [11][1900/7390] lr: 1.000e-03, eta: 1:49:12, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8673, losses_bboxes: 0.4700, loss: 8.3373 2022-09-29 12:23:03,622 - mmdet - INFO - Epoch [11][1950/7390] lr: 1.000e-03, eta: 1:48:47, time: 0.516, data_time: 0.008, memory: 43495, loss_cls: 7.8664, losses_bboxes: 0.4705, loss: 8.3369 2022-09-29 12:23:29,347 - mmdet - INFO - Epoch [11][2000/7390] lr: 1.000e-03, eta: 1:48:22, time: 0.513, data_time: 0.008, memory: 43495, loss_cls: 7.8550, losses_bboxes: 0.4685, loss: 8.3235 2022-09-29 12:23:54,786 - mmdet - INFO - Epoch [11][2050/7390] lr: 1.000e-03, eta: 1:47:56, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8726, losses_bboxes: 0.4694, loss: 8.3421 2022-09-29 12:24:20,587 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 12:24:20,587 - mmdet - INFO - Epoch [11][2100/7390] lr: 1.000e-03, eta: 1:47:31, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8735, losses_bboxes: 0.4701, loss: 8.3437 2022-09-29 12:24:46,061 - mmdet - INFO - Epoch [11][2150/7390] lr: 1.000e-03, eta: 1:47:05, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8558, losses_bboxes: 0.4705, loss: 8.3263 2022-09-29 12:25:11,631 - mmdet - INFO - Epoch [11][2200/7390] lr: 1.000e-03, eta: 1:46:40, time: 0.511, data_time: 0.008, memory: 43495, loss_cls: 7.8726, losses_bboxes: 0.4703, loss: 8.3429 2022-09-29 12:25:37,436 - mmdet - INFO - Epoch [11][2250/7390] lr: 1.000e-03, eta: 1:46:15, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8734, losses_bboxes: 0.4687, loss: 8.3421 2022-09-29 12:26:02,768 - mmdet - INFO - Epoch [11][2300/7390] lr: 1.000e-03, eta: 1:45:49, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8771, losses_bboxes: 0.4711, loss: 8.3482 2022-09-29 12:26:28,228 - mmdet - INFO - Epoch [11][2350/7390] lr: 1.000e-03, eta: 1:45:24, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8765, losses_bboxes: 0.4677, loss: 8.3442 2022-09-29 12:26:54,058 - mmdet - INFO - Epoch [11][2400/7390] lr: 1.000e-03, eta: 1:44:58, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8739, losses_bboxes: 0.4709, loss: 8.3448 2022-09-29 12:27:19,245 - mmdet - INFO - Epoch [11][2450/7390] lr: 1.000e-03, eta: 1:44:33, time: 0.503, data_time: 0.011, memory: 43495, loss_cls: 7.8722, losses_bboxes: 0.4690, loss: 8.3412 2022-09-29 12:27:44,669 - mmdet - INFO - Epoch [11][2500/7390] lr: 1.000e-03, eta: 1:44:07, time: 0.508, data_time: 0.011, memory: 43495, loss_cls: 7.8594, losses_bboxes: 0.4713, loss: 8.3307 2022-09-29 12:28:09,856 - mmdet - INFO - Epoch [11][2550/7390] lr: 1.000e-03, eta: 1:43:42, time: 0.506, data_time: 0.011, memory: 43495, loss_cls: 7.8767, losses_bboxes: 0.4671, loss: 8.3438 2022-09-29 12:28:35,793 - mmdet - INFO - Epoch [11][2600/7390] lr: 1.000e-03, eta: 1:43:17, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8700, losses_bboxes: 0.4693, loss: 8.3393 2022-09-29 12:29:01,767 - mmdet - INFO - Epoch [11][2650/7390] lr: 1.000e-03, eta: 1:42:51, time: 0.520, data_time: 0.009, memory: 43495, loss_cls: 7.8689, losses_bboxes: 0.4692, loss: 8.3382 2022-09-29 12:29:28,038 - mmdet - INFO - Epoch [11][2700/7390] lr: 1.000e-03, eta: 1:42:26, time: 0.523, data_time: 0.009, memory: 43495, loss_cls: 7.8616, losses_bboxes: 0.4696, loss: 8.3312 2022-09-29 12:29:53,739 - mmdet - INFO - Epoch [11][2750/7390] lr: 1.000e-03, eta: 1:42:00, time: 0.515, data_time: 0.012, memory: 43495, loss_cls: 7.8613, losses_bboxes: 0.4683, loss: 8.3296 2022-09-29 12:30:19,417 - mmdet - INFO - Epoch [11][2800/7390] lr: 1.000e-03, eta: 1:41:35, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8603, losses_bboxes: 0.4696, loss: 8.3299 2022-09-29 12:30:44,877 - mmdet - INFO - Epoch [11][2850/7390] lr: 1.000e-03, eta: 1:41:10, time: 0.512, data_time: 0.012, memory: 43495, loss_cls: 7.8736, losses_bboxes: 0.4698, loss: 8.3434 2022-09-29 12:31:10,330 - mmdet - INFO - Epoch [11][2900/7390] lr: 1.000e-03, eta: 1:40:44, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8718, losses_bboxes: 0.4712, loss: 8.3430 2022-09-29 12:31:35,735 - mmdet - INFO - Epoch [11][2950/7390] lr: 1.000e-03, eta: 1:40:19, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8784, losses_bboxes: 0.4694, loss: 8.3477 2022-09-29 12:32:01,343 - mmdet - INFO - Epoch [11][3000/7390] lr: 1.000e-03, eta: 1:39:53, time: 0.510, data_time: 0.008, memory: 43495, loss_cls: 7.8809, losses_bboxes: 0.4693, loss: 8.3502 2022-09-29 12:32:26,509 - mmdet - INFO - Epoch [11][3050/7390] lr: 1.000e-03, eta: 1:39:28, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8746, losses_bboxes: 0.4689, loss: 8.3435 2022-09-29 12:32:51,698 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 12:32:51,698 - mmdet - INFO - Epoch [11][3100/7390] lr: 1.000e-03, eta: 1:39:02, time: 0.502, data_time: 0.008, memory: 43495, loss_cls: 7.8723, losses_bboxes: 0.4710, loss: 8.3433 2022-09-29 12:33:17,305 - mmdet - INFO - Epoch [11][3150/7390] lr: 1.000e-03, eta: 1:38:37, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8516, losses_bboxes: 0.4672, loss: 8.3188 2022-09-29 12:33:42,832 - mmdet - INFO - Epoch [11][3200/7390] lr: 1.000e-03, eta: 1:38:12, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8674, losses_bboxes: 0.4691, loss: 8.3365 2022-09-29 12:34:07,798 - mmdet - INFO - Epoch [11][3250/7390] lr: 1.000e-03, eta: 1:37:46, time: 0.498, data_time: 0.009, memory: 43495, loss_cls: 7.8773, losses_bboxes: 0.4725, loss: 8.3498 2022-09-29 12:34:32,816 - mmdet - INFO - Epoch [11][3300/7390] lr: 1.000e-03, eta: 1:37:21, time: 0.499, data_time: 0.010, memory: 43495, loss_cls: 7.8869, losses_bboxes: 0.4704, loss: 8.3573 2022-09-29 12:34:58,560 - mmdet - INFO - Epoch [11][3350/7390] lr: 1.000e-03, eta: 1:36:55, time: 0.516, data_time: 0.011, memory: 43495, loss_cls: 7.8748, losses_bboxes: 0.4698, loss: 8.3446 2022-09-29 12:35:24,110 - mmdet - INFO - Epoch [11][3400/7390] lr: 1.000e-03, eta: 1:36:30, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8769, losses_bboxes: 0.4694, loss: 8.3463 2022-09-29 12:35:49,884 - mmdet - INFO - Epoch [11][3450/7390] lr: 1.000e-03, eta: 1:36:04, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8671, losses_bboxes: 0.4704, loss: 8.3375 2022-09-29 12:36:15,216 - mmdet - INFO - Epoch [11][3500/7390] lr: 1.000e-03, eta: 1:35:39, time: 0.509, data_time: 0.011, memory: 43495, loss_cls: 7.8633, losses_bboxes: 0.4698, loss: 8.3331 2022-09-29 12:36:40,787 - mmdet - INFO - Epoch [11][3550/7390] lr: 1.000e-03, eta: 1:35:13, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8698, losses_bboxes: 0.4708, loss: 8.3407 2022-09-29 12:37:06,246 - mmdet - INFO - Epoch [11][3600/7390] lr: 1.000e-03, eta: 1:34:48, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8620, losses_bboxes: 0.4690, loss: 8.3311 2022-09-29 12:37:32,068 - mmdet - INFO - Epoch [11][3650/7390] lr: 1.000e-03, eta: 1:34:23, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8760, losses_bboxes: 0.4716, loss: 8.3476 2022-09-29 12:37:57,570 - mmdet - INFO - Epoch [11][3700/7390] lr: 1.000e-03, eta: 1:33:57, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8615, losses_bboxes: 0.4691, loss: 8.3306 2022-09-29 12:38:22,837 - mmdet - INFO - Epoch [11][3750/7390] lr: 1.000e-03, eta: 1:33:32, time: 0.507, data_time: 0.011, memory: 43495, loss_cls: 7.8747, losses_bboxes: 0.4703, loss: 8.3451 2022-09-29 12:38:48,440 - mmdet - INFO - Epoch [11][3800/7390] lr: 1.000e-03, eta: 1:33:06, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8745, losses_bboxes: 0.4702, loss: 8.3447 2022-09-29 12:39:13,560 - mmdet - INFO - Epoch [11][3850/7390] lr: 1.000e-03, eta: 1:32:41, time: 0.501, data_time: 0.008, memory: 43495, loss_cls: 7.8758, losses_bboxes: 0.4701, loss: 8.3459 2022-09-29 12:39:39,488 - mmdet - INFO - Epoch [11][3900/7390] lr: 1.000e-03, eta: 1:32:15, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8721, losses_bboxes: 0.4701, loss: 8.3421 2022-09-29 12:40:05,217 - mmdet - INFO - Epoch [11][3950/7390] lr: 1.000e-03, eta: 1:31:50, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8667, losses_bboxes: 0.4694, loss: 8.3360 2022-09-29 12:40:30,592 - mmdet - INFO - Epoch [11][4000/7390] lr: 1.000e-03, eta: 1:31:25, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8680, losses_bboxes: 0.4684, loss: 8.3364 2022-09-29 12:40:56,037 - mmdet - INFO - Epoch [11][4050/7390] lr: 1.000e-03, eta: 1:30:59, time: 0.508, data_time: 0.008, memory: 43495, loss_cls: 7.8718, losses_bboxes: 0.4689, loss: 8.3406 2022-09-29 12:41:21,391 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 12:41:21,392 - mmdet - INFO - Epoch [11][4100/7390] lr: 1.000e-03, eta: 1:30:34, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8705, losses_bboxes: 0.4704, loss: 8.3408 2022-09-29 12:41:46,698 - mmdet - INFO - Epoch [11][4150/7390] lr: 1.000e-03, eta: 1:30:08, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8561, losses_bboxes: 0.4685, loss: 8.3246 2022-09-29 12:42:11,874 - mmdet - INFO - Epoch [11][4200/7390] lr: 1.000e-03, eta: 1:29:43, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8649, losses_bboxes: 0.4694, loss: 8.3343 2022-09-29 12:42:37,724 - mmdet - INFO - Epoch [11][4250/7390] lr: 1.000e-03, eta: 1:29:17, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8754, losses_bboxes: 0.4690, loss: 8.3444 2022-09-29 12:43:03,175 - mmdet - INFO - Epoch [11][4300/7390] lr: 1.000e-03, eta: 1:28:52, time: 0.508, data_time: 0.008, memory: 43495, loss_cls: 7.8629, losses_bboxes: 0.4705, loss: 8.3334 2022-09-29 12:43:28,911 - mmdet - INFO - Epoch [11][4350/7390] lr: 1.000e-03, eta: 1:28:27, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8615, losses_bboxes: 0.4702, loss: 8.3318 2022-09-29 12:43:54,441 - mmdet - INFO - Epoch [11][4400/7390] lr: 1.000e-03, eta: 1:28:01, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8613, losses_bboxes: 0.4695, loss: 8.3308 2022-09-29 12:44:19,950 - mmdet - INFO - Epoch [11][4450/7390] lr: 1.000e-03, eta: 1:27:36, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8691, losses_bboxes: 0.4686, loss: 8.3377 2022-09-29 12:44:45,448 - mmdet - INFO - Epoch [11][4500/7390] lr: 1.000e-03, eta: 1:27:10, time: 0.509, data_time: 0.008, memory: 43495, loss_cls: 7.8730, losses_bboxes: 0.4687, loss: 8.3417 2022-09-29 12:45:11,081 - mmdet - INFO - Epoch [11][4550/7390] lr: 1.000e-03, eta: 1:26:45, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8725, losses_bboxes: 0.4681, loss: 8.3406 2022-09-29 12:45:36,728 - mmdet - INFO - Epoch [11][4600/7390] lr: 1.000e-03, eta: 1:26:19, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8705, losses_bboxes: 0.4696, loss: 8.3401 2022-09-29 12:46:01,904 - mmdet - INFO - Epoch [11][4650/7390] lr: 1.000e-03, eta: 1:25:54, time: 0.505, data_time: 0.011, memory: 43495, loss_cls: 7.8641, losses_bboxes: 0.4690, loss: 8.3331 2022-09-29 12:46:27,430 - mmdet - INFO - Epoch [11][4700/7390] lr: 1.000e-03, eta: 1:25:29, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8582, losses_bboxes: 0.4699, loss: 8.3281 2022-09-29 12:46:52,770 - mmdet - INFO - Epoch [11][4750/7390] lr: 1.000e-03, eta: 1:25:03, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8707, losses_bboxes: 0.4684, loss: 8.3391 2022-09-29 12:47:18,455 - mmdet - INFO - Epoch [11][4800/7390] lr: 1.000e-03, eta: 1:24:38, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8698, losses_bboxes: 0.4684, loss: 8.3382 2022-09-29 12:47:44,183 - mmdet - INFO - Epoch [11][4850/7390] lr: 1.000e-03, eta: 1:24:12, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8682, losses_bboxes: 0.4694, loss: 8.3376 2022-09-29 12:48:09,126 - mmdet - INFO - Epoch [11][4900/7390] lr: 1.000e-03, eta: 1:23:47, time: 0.499, data_time: 0.010, memory: 43495, loss_cls: 7.8719, losses_bboxes: 0.4683, loss: 8.3402 2022-09-29 12:48:34,529 - mmdet - INFO - Epoch [11][4950/7390] lr: 1.000e-03, eta: 1:23:21, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8662, losses_bboxes: 0.4695, loss: 8.3357 2022-09-29 12:49:00,057 - mmdet - INFO - Epoch [11][5000/7390] lr: 1.000e-03, eta: 1:22:56, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8748, losses_bboxes: 0.4689, loss: 8.3437 2022-09-29 12:49:25,608 - mmdet - INFO - Epoch [11][5050/7390] lr: 1.000e-03, eta: 1:22:30, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8679, losses_bboxes: 0.4688, loss: 8.3367 2022-09-29 12:49:50,713 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 12:49:50,714 - mmdet - INFO - Epoch [11][5100/7390] lr: 1.000e-03, eta: 1:22:05, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8544, losses_bboxes: 0.4689, loss: 8.3233 2022-09-29 12:50:16,248 - mmdet - INFO - Epoch [11][5150/7390] lr: 1.000e-03, eta: 1:21:40, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8825, losses_bboxes: 0.4704, loss: 8.3529 2022-09-29 12:50:42,086 - mmdet - INFO - Epoch [11][5200/7390] lr: 1.000e-03, eta: 1:21:14, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8762, losses_bboxes: 0.4710, loss: 8.3472 2022-09-29 12:51:07,496 - mmdet - INFO - Epoch [11][5250/7390] lr: 1.000e-03, eta: 1:20:49, time: 0.507, data_time: 0.008, memory: 43495, loss_cls: 7.8700, losses_bboxes: 0.4684, loss: 8.3384 2022-09-29 12:51:32,820 - mmdet - INFO - Epoch [11][5300/7390] lr: 1.000e-03, eta: 1:20:23, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8625, losses_bboxes: 0.4676, loss: 8.3301 2022-09-29 12:51:58,543 - mmdet - INFO - Epoch [11][5350/7390] lr: 1.000e-03, eta: 1:19:58, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8541, losses_bboxes: 0.4716, loss: 8.3257 2022-09-29 12:52:24,329 - mmdet - INFO - Epoch [11][5400/7390] lr: 1.000e-03, eta: 1:19:32, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8726, losses_bboxes: 0.4707, loss: 8.3433 2022-09-29 12:52:49,462 - mmdet - INFO - Epoch [11][5450/7390] lr: 1.000e-03, eta: 1:19:07, time: 0.502, data_time: 0.010, memory: 43495, loss_cls: 7.8637, losses_bboxes: 0.4682, loss: 8.3319 2022-09-29 12:53:14,811 - mmdet - INFO - Epoch [11][5500/7390] lr: 1.000e-03, eta: 1:18:41, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4681, loss: 8.3371 2022-09-29 12:53:40,551 - mmdet - INFO - Epoch [11][5550/7390] lr: 1.000e-03, eta: 1:18:16, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8722, losses_bboxes: 0.4700, loss: 8.3422 2022-09-29 12:54:06,233 - mmdet - INFO - Epoch [11][5600/7390] lr: 1.000e-03, eta: 1:17:51, time: 0.513, data_time: 0.008, memory: 43495, loss_cls: 7.8621, losses_bboxes: 0.4698, loss: 8.3319 2022-09-29 12:54:31,162 - mmdet - INFO - Epoch [11][5650/7390] lr: 1.000e-03, eta: 1:17:25, time: 0.498, data_time: 0.011, memory: 43495, loss_cls: 7.8628, losses_bboxes: 0.4712, loss: 8.3341 2022-09-29 12:54:56,097 - mmdet - INFO - Epoch [11][5700/7390] lr: 1.000e-03, eta: 1:17:00, time: 0.500, data_time: 0.010, memory: 43495, loss_cls: 7.8644, losses_bboxes: 0.4678, loss: 8.3323 2022-09-29 12:55:21,416 - mmdet - INFO - Epoch [11][5750/7390] lr: 1.000e-03, eta: 1:16:34, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8589, losses_bboxes: 0.4696, loss: 8.3285 2022-09-29 12:55:47,247 - mmdet - INFO - Epoch [11][5800/7390] lr: 1.000e-03, eta: 1:16:09, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8596, losses_bboxes: 0.4693, loss: 8.3289 2022-09-29 12:56:12,871 - mmdet - INFO - Epoch [11][5850/7390] lr: 1.000e-03, eta: 1:15:43, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8685, losses_bboxes: 0.4713, loss: 8.3398 2022-09-29 12:56:38,081 - mmdet - INFO - Epoch [11][5900/7390] lr: 1.000e-03, eta: 1:15:18, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8683, losses_bboxes: 0.4684, loss: 8.3367 2022-09-29 12:57:03,744 - mmdet - INFO - Epoch [11][5950/7390] lr: 1.000e-03, eta: 1:14:52, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8618, losses_bboxes: 0.4683, loss: 8.3302 2022-09-29 12:57:29,265 - mmdet - INFO - Epoch [11][6000/7390] lr: 1.000e-03, eta: 1:14:27, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8675, losses_bboxes: 0.4701, loss: 8.3375 2022-09-29 12:57:54,516 - mmdet - INFO - Epoch [11][6050/7390] lr: 1.000e-03, eta: 1:14:02, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8651, losses_bboxes: 0.4700, loss: 8.3351 2022-09-29 12:58:20,143 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 12:58:20,144 - mmdet - INFO - Epoch [11][6100/7390] lr: 1.000e-03, eta: 1:13:36, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8632, losses_bboxes: 0.4689, loss: 8.3321 2022-09-29 12:58:45,837 - mmdet - INFO - Epoch [11][6150/7390] lr: 1.000e-03, eta: 1:13:11, time: 0.513, data_time: 0.008, memory: 43495, loss_cls: 7.8536, losses_bboxes: 0.4682, loss: 8.3219 2022-09-29 12:59:11,576 - mmdet - INFO - Epoch [11][6200/7390] lr: 1.000e-03, eta: 1:12:45, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8714, losses_bboxes: 0.4701, loss: 8.3415 2022-09-29 12:59:37,269 - mmdet - INFO - Epoch [11][6250/7390] lr: 1.000e-03, eta: 1:12:20, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8650, losses_bboxes: 0.4673, loss: 8.3323 2022-09-29 13:00:02,865 - mmdet - INFO - Epoch [11][6300/7390] lr: 1.000e-03, eta: 1:11:55, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8716, losses_bboxes: 0.4717, loss: 8.3433 2022-09-29 13:00:28,345 - mmdet - INFO - Epoch [11][6350/7390] lr: 1.000e-03, eta: 1:11:29, time: 0.511, data_time: 0.011, memory: 43495, loss_cls: 7.8746, losses_bboxes: 0.4689, loss: 8.3435 2022-09-29 13:00:54,078 - mmdet - INFO - Epoch [11][6400/7390] lr: 1.000e-03, eta: 1:11:04, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8673, losses_bboxes: 0.4691, loss: 8.3364 2022-09-29 13:01:20,076 - mmdet - INFO - Epoch [11][6450/7390] lr: 1.000e-03, eta: 1:10:38, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8569, losses_bboxes: 0.4712, loss: 8.3281 2022-09-29 13:01:45,603 - mmdet - INFO - Epoch [11][6500/7390] lr: 1.000e-03, eta: 1:10:13, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8689, losses_bboxes: 0.4690, loss: 8.3380 2022-09-29 13:02:11,389 - mmdet - INFO - Epoch [11][6550/7390] lr: 1.000e-03, eta: 1:09:47, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8653, losses_bboxes: 0.4692, loss: 8.3344 2022-09-29 13:02:37,068 - mmdet - INFO - Epoch [11][6600/7390] lr: 1.000e-03, eta: 1:09:22, time: 0.515, data_time: 0.011, memory: 43495, loss_cls: 7.8780, losses_bboxes: 0.4704, loss: 8.3484 2022-09-29 13:03:02,744 - mmdet - INFO - Epoch [11][6650/7390] lr: 1.000e-03, eta: 1:08:57, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8784, losses_bboxes: 0.4709, loss: 8.3492 2022-09-29 13:03:28,628 - mmdet - INFO - Epoch [11][6700/7390] lr: 1.000e-03, eta: 1:08:31, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8674, losses_bboxes: 0.4698, loss: 8.3371 2022-09-29 13:03:54,617 - mmdet - INFO - Epoch [11][6750/7390] lr: 1.000e-03, eta: 1:08:06, time: 0.519, data_time: 0.010, memory: 43495, loss_cls: 7.8684, losses_bboxes: 0.4712, loss: 8.3396 2022-09-29 13:04:20,318 - mmdet - INFO - Epoch [11][6800/7390] lr: 1.000e-03, eta: 1:07:40, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8616, losses_bboxes: 0.4714, loss: 8.3331 2022-09-29 13:04:45,359 - mmdet - INFO - Epoch [11][6850/7390] lr: 1.000e-03, eta: 1:07:15, time: 0.501, data_time: 0.011, memory: 43495, loss_cls: 7.8748, losses_bboxes: 0.4664, loss: 8.3411 2022-09-29 13:05:10,602 - mmdet - INFO - Epoch [11][6900/7390] lr: 1.000e-03, eta: 1:06:49, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8649, losses_bboxes: 0.4684, loss: 8.3333 2022-09-29 13:05:36,458 - mmdet - INFO - Epoch [11][6950/7390] lr: 1.000e-03, eta: 1:06:24, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8711, losses_bboxes: 0.4703, loss: 8.3414 2022-09-29 13:06:01,918 - mmdet - INFO - Epoch [11][7000/7390] lr: 1.000e-03, eta: 1:05:59, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8689, losses_bboxes: 0.4691, loss: 8.3380 2022-09-29 13:06:27,425 - mmdet - INFO - Epoch [11][7050/7390] lr: 1.000e-03, eta: 1:05:33, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8685, losses_bboxes: 0.4690, loss: 8.3375 2022-09-29 13:06:53,030 - mmdet - INFO - Exp name: retinanet.py 2022-09-29 13:06:53,030 - mmdet - INFO - Epoch [11][7100/7390] lr: 1.000e-03, eta: 1:05:08, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8645, losses_bboxes: 0.4696, loss: 8.3342 2022-09-29 13:07:18,421 - mmdet - INFO - Epoch [11][7150/7390] lr: 1.000e-03, eta: 1:04:42, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8589, losses_bboxes: 0.4693, loss: 8.3282 2022-09-29 13:07:44,010 - mmdet - INFO - Epoch [11][7200/7390] lr: 1.000e-03, eta: 1:04:17, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8729, losses_bboxes: 0.4708, loss: 8.3438 2022-09-29 13:08:09,814 - mmdet - INFO - Epoch [11][7250/7390] lr: 1.000e-03, eta: 1:03:51, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4695, loss: 8.3385 2022-09-29 13:08:35,481 - mmdet - INFO - Epoch [11][7300/7390] lr: 1.000e-03, eta: 1:03:26, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8721, losses_bboxes: 0.4684, loss: 8.3405 2022-09-29 13:09:01,144 - mmdet - INFO - Epoch [11][7350/7390] lr: 1.000e-03, eta: 1:03:01, time: 0.511, data_time: 0.008, memory: 43495, loss_cls: 7.8740, losses_bboxes: 0.4695, loss: 8.3435 2022-09-29 13:09:21,615 - mmdet - INFO - Saving checkpoint at 11 epochs 2022-09-29 13:09:51,243 - mmdet - INFO - Epoch [12][50/7390] lr: 1.000e-04, eta: 1:02:13, time: 0.571, data_time: 0.071, memory: 43495, loss_cls: 7.8669, losses_bboxes: 0.4700, loss: 8.3369 2022-09-29 13:10:16,677 - mmdet - INFO - Epoch [12][100/7390] lr: 1.000e-04, eta: 1:01:48, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8687, losses_bboxes: 0.4697, loss: 8.3384 2022-09-29 13:10:42,487 - mmdet - INFO - Epoch [12][150/7390] lr: 1.000e-04, eta: 1:01:22, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8653, losses_bboxes: 0.4708, loss: 8.3361 2022-09-29 13:11:07,898 - mmdet - INFO - Epoch [12][200/7390] lr: 1.000e-04, eta: 1:00:57, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8709, losses_bboxes: 0.4690, loss: 8.3399 2022-09-29 13:11:33,968 - mmdet - INFO - Epoch [12][250/7390] lr: 1.000e-04, eta: 1:00:32, time: 0.521, data_time: 0.010, memory: 43495, loss_cls: 7.8631, losses_bboxes: 0.4688, loss: 8.3319 2022-09-29 13:11:59,467 - mmdet - INFO - Epoch [12][300/7390] lr: 1.000e-04, eta: 1:00:06, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8599, losses_bboxes: 0.4692, loss: 8.3291 2022-09-29 13:12:24,882 - mmdet - INFO - Epoch [12][350/7390] lr: 1.000e-04, eta: 0:59:41, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8668, losses_bboxes: 0.4690, loss: 8.3358 2022-09-29 13:12:50,242 - mmdet - INFO - Epoch [12][400/7390] lr: 1.000e-04, eta: 0:59:15, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8699, losses_bboxes: 0.4683, loss: 8.3381 2022-09-29 13:13:16,094 - mmdet - INFO - Epoch [12][450/7390] lr: 1.000e-04, eta: 0:58:50, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8695, losses_bboxes: 0.4696, loss: 8.3390 2022-09-29 13:13:41,621 - mmdet - INFO - Epoch [12][500/7390] lr: 1.000e-04, eta: 0:58:24, time: 0.512, data_time: 0.011, memory: 43495, loss_cls: 7.8645, losses_bboxes: 0.4694, loss: 8.3339 2022-09-29 13:14:07,199 - mmdet - INFO - Epoch [12][550/7390] lr: 1.000e-04, eta: 0:57:59, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8709, losses_bboxes: 0.4685, loss: 8.3394 2022-09-29 13:14:32,572 - mmdet - INFO - Epoch [12][600/7390] lr: 1.000e-04, eta: 0:57:34, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8794, losses_bboxes: 0.4664, loss: 8.3457 2022-09-29 13:14:57,710 - mmdet - INFO - Epoch [12][650/7390] lr: 1.000e-04, eta: 0:57:08, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8681, losses_bboxes: 0.4678, loss: 8.3359 2022-09-29 13:15:23,091 - mmdet - INFO - Epoch [12][700/7390] lr: 1.000e-04, eta: 0:56:43, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8680, losses_bboxes: 0.4682, loss: 8.3362 2022-09-29 13:15:48,357 - mmdet - INFO - Epoch [12][750/7390] lr: 1.000e-04, eta: 0:56:17, time: 0.506, data_time: 0.010, memory: 43495, loss_cls: 7.8591, losses_bboxes: 0.4690, loss: 8.3281 2022-09-29 13:16:13,588 - mmdet - INFO - Epoch [12][800/7390] lr: 1.000e-04, eta: 0:55:52, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8652, losses_bboxes: 0.4677, loss: 8.3329 2022-09-29 13:16:39,195 - mmdet - INFO - Epoch [12][850/7390] lr: 1.000e-04, eta: 0:55:26, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8722, losses_bboxes: 0.4679, loss: 8.3401 2022-09-29 13:17:04,395 - mmdet - INFO - Epoch [12][900/7390] lr: 1.000e-04, eta: 0:55:01, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8668, losses_bboxes: 0.4682, loss: 8.3350 2022-09-29 13:17:30,294 - mmdet - INFO - Epoch [12][950/7390] lr: 1.000e-04, eta: 0:54:36, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8658, losses_bboxes: 0.4698, loss: 8.3356 2022-09-29 13:17:55,808 - mmdet - INFO - Epoch [12][1000/7390] lr: 1.000e-04, eta: 0:54:10, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8659, losses_bboxes: 0.4699, loss: 8.3358 2022-09-29 13:18:21,446 - mmdet - INFO - Epoch [12][1050/7390] lr: 1.000e-04, eta: 0:53:45, time: 0.514, data_time: 0.011, memory: 43495, loss_cls: 7.8847, losses_bboxes: 0.4707, loss: 8.3554 2022-09-29 13:18:47,016 - mmdet - INFO - Epoch [12][1100/7390] lr: 1.000e-04, eta: 0:53:19, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8639, losses_bboxes: 0.4674, loss: 8.3314 2022-09-29 13:19:12,163 - mmdet - INFO - Epoch [12][1150/7390] lr: 1.000e-04, eta: 0:52:54, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8714, losses_bboxes: 0.4691, loss: 8.3405 2022-09-29 13:19:37,913 - mmdet - INFO - Epoch [12][1200/7390] lr: 1.000e-04, eta: 0:52:28, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8622, losses_bboxes: 0.4683, loss: 8.3306 2022-09-29 13:20:03,101 - mmdet - INFO - Epoch [12][1250/7390] lr: 1.000e-04, eta: 0:52:03, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8700, losses_bboxes: 0.4689, loss: 8.3389 2022-09-29 13:20:29,003 - mmdet - INFO - Epoch [12][1300/7390] lr: 1.000e-04, eta: 0:51:38, time: 0.519, data_time: 0.010, memory: 43495, loss_cls: 7.8683, losses_bboxes: 0.4722, loss: 8.3405 2022-09-29 13:20:54,352 - mmdet - INFO - Epoch [12][1350/7390] lr: 1.000e-04, eta: 0:51:12, time: 0.505, data_time: 0.008, memory: 43495, loss_cls: 7.8712, losses_bboxes: 0.4692, loss: 8.3405 2022-09-29 13:21:19,545 - mmdet - INFO - Epoch [12][1400/7390] lr: 1.000e-04, eta: 0:50:47, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8711, losses_bboxes: 0.4681, loss: 8.3391 2022-09-29 13:21:44,989 - mmdet - INFO - Epoch [12][1450/7390] lr: 1.000e-04, eta: 0:50:21, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8650, losses_bboxes: 0.4694, loss: 8.3344 2022-09-29 13:22:11,037 - mmdet - INFO - Epoch [12][1500/7390] lr: 1.000e-04, eta: 0:49:56, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8570, losses_bboxes: 0.4693, loss: 8.3263 2022-09-29 13:22:36,364 - mmdet - INFO - Epoch [12][1550/7390] lr: 1.000e-04, eta: 0:49:30, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8601, losses_bboxes: 0.4685, loss: 8.3286 2022-09-29 13:23:02,270 - mmdet - INFO - Epoch [12][1600/7390] lr: 1.000e-04, eta: 0:49:05, time: 0.517, data_time: 0.008, memory: 43495, loss_cls: 7.8747, losses_bboxes: 0.4718, loss: 8.3465 2022-09-29 13:23:27,964 - mmdet - INFO - Epoch [12][1650/7390] lr: 1.000e-04, eta: 0:48:40, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8705, losses_bboxes: 0.4692, loss: 8.3397 2022-09-29 13:23:53,235 - mmdet - INFO - Epoch [12][1700/7390] lr: 1.000e-04, eta: 0:48:14, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8616, losses_bboxes: 0.4705, loss: 8.3322 2022-09-29 13:24:18,310 - mmdet - INFO - Epoch [12][1750/7390] lr: 1.000e-04, eta: 0:47:49, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8681, losses_bboxes: 0.4715, loss: 8.3396 2022-09-29 13:24:43,932 - mmdet - INFO - Epoch [12][1800/7390] lr: 1.000e-04, eta: 0:47:23, time: 0.512, data_time: 0.008, memory: 43495, loss_cls: 7.8678, losses_bboxes: 0.4702, loss: 8.3380 2022-09-29 13:25:09,244 - mmdet - INFO - Epoch [12][1850/7390] lr: 1.000e-04, eta: 0:46:58, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8638, losses_bboxes: 0.4697, loss: 8.3335 2022-09-29 13:25:34,707 - mmdet - INFO - Epoch [12][1900/7390] lr: 1.000e-04, eta: 0:46:32, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8710, losses_bboxes: 0.4682, loss: 8.3392 2022-09-29 13:25:59,868 - mmdet - INFO - Epoch [12][1950/7390] lr: 1.000e-04, eta: 0:46:07, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8682, losses_bboxes: 0.4680, loss: 8.3362 2022-09-29 13:26:25,308 - mmdet - INFO - Epoch [12][2000/7390] lr: 1.000e-04, eta: 0:45:41, time: 0.508, data_time: 0.010, memory: 43495, loss_cls: 7.8621, losses_bboxes: 0.4678, loss: 8.3299 2022-09-29 13:26:50,478 - mmdet - INFO - Epoch [12][2050/7390] lr: 1.000e-04, eta: 0:45:16, time: 0.505, data_time: 0.010, memory: 43495, loss_cls: 7.8665, losses_bboxes: 0.4678, loss: 8.3344 2022-09-29 13:27:15,736 - mmdet - INFO - Epoch [12][2100/7390] lr: 1.000e-04, eta: 0:44:51, time: 0.504, data_time: 0.008, memory: 43495, loss_cls: 7.8664, losses_bboxes: 0.4692, loss: 8.3356 2022-09-29 13:27:41,478 - mmdet - INFO - Epoch [12][2150/7390] lr: 1.000e-04, eta: 0:44:25, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8675, losses_bboxes: 0.4691, loss: 8.3367 2022-09-29 13:28:07,065 - mmdet - INFO - Epoch [12][2200/7390] lr: 1.000e-04, eta: 0:44:00, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8660, losses_bboxes: 0.4703, loss: 8.3363 2022-09-29 13:28:32,721 - mmdet - INFO - Epoch [12][2250/7390] lr: 1.000e-04, eta: 0:43:34, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8566, losses_bboxes: 0.4712, loss: 8.3278 2022-09-29 13:28:58,680 - mmdet - INFO - Epoch [12][2300/7390] lr: 1.000e-04, eta: 0:43:09, time: 0.519, data_time: 0.009, memory: 43495, loss_cls: 7.8747, losses_bboxes: 0.4714, loss: 8.3461 2022-09-29 13:29:24,797 - mmdet - INFO - Epoch [12][2350/7390] lr: 1.000e-04, eta: 0:42:43, time: 0.522, data_time: 0.010, memory: 43495, loss_cls: 7.8668, losses_bboxes: 0.4697, loss: 8.3365 2022-09-29 13:29:50,072 - mmdet - INFO - Epoch [12][2400/7390] lr: 1.000e-04, eta: 0:42:18, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8648, losses_bboxes: 0.4686, loss: 8.3334 2022-09-29 13:30:15,162 - mmdet - INFO - Epoch [12][2450/7390] lr: 1.000e-04, eta: 0:41:53, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8670, losses_bboxes: 0.4695, loss: 8.3365 2022-09-29 13:30:40,556 - mmdet - INFO - Epoch [12][2500/7390] lr: 1.000e-04, eta: 0:41:27, time: 0.508, data_time: 0.008, memory: 43495, loss_cls: 7.8675, losses_bboxes: 0.4684, loss: 8.3359 2022-09-29 13:31:05,816 - mmdet - INFO - Epoch [12][2550/7390] lr: 1.000e-04, eta: 0:41:02, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8766, losses_bboxes: 0.4666, loss: 8.3431 2022-09-29 13:31:31,115 - mmdet - INFO - Epoch [12][2600/7390] lr: 1.000e-04, eta: 0:40:36, time: 0.505, data_time: 0.008, memory: 43495, loss_cls: 7.8649, losses_bboxes: 0.4680, loss: 8.3329 2022-09-29 13:31:56,985 - mmdet - INFO - Epoch [12][2650/7390] lr: 1.000e-04, eta: 0:40:11, time: 0.518, data_time: 0.009, memory: 43495, loss_cls: 7.8628, losses_bboxes: 0.4706, loss: 8.3334 2022-09-29 13:32:22,288 - mmdet - INFO - Epoch [12][2700/7390] lr: 1.000e-04, eta: 0:39:45, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8708, losses_bboxes: 0.4690, loss: 8.3398 2022-09-29 13:32:47,862 - mmdet - INFO - Epoch [12][2750/7390] lr: 1.000e-04, eta: 0:39:20, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8778, losses_bboxes: 0.4694, loss: 8.3472 2022-09-29 13:33:13,271 - mmdet - INFO - Epoch [12][2800/7390] lr: 1.000e-04, eta: 0:38:55, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8726, losses_bboxes: 0.4696, loss: 8.3421 2022-09-29 13:33:38,765 - mmdet - INFO - Epoch [12][2850/7390] lr: 1.000e-04, eta: 0:38:29, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8710, losses_bboxes: 0.4709, loss: 8.3419 2022-09-29 13:34:04,448 - mmdet - INFO - Epoch [12][2900/7390] lr: 1.000e-04, eta: 0:38:04, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8671, losses_bboxes: 0.4689, loss: 8.3360 2022-09-29 13:34:29,848 - mmdet - INFO - Epoch [12][2950/7390] lr: 1.000e-04, eta: 0:37:38, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8599, losses_bboxes: 0.4686, loss: 8.3285 2022-09-29 13:34:55,361 - mmdet - INFO - Epoch [12][3000/7390] lr: 1.000e-04, eta: 0:37:13, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8592, losses_bboxes: 0.4688, loss: 8.3280 2022-09-29 13:35:21,377 - mmdet - INFO - Epoch [12][3050/7390] lr: 1.000e-04, eta: 0:36:47, time: 0.521, data_time: 0.010, memory: 43495, loss_cls: 7.8714, losses_bboxes: 0.4689, loss: 8.3404 2022-09-29 13:35:47,288 - mmdet - INFO - Epoch [12][3100/7390] lr: 1.000e-04, eta: 0:36:22, time: 0.517, data_time: 0.009, memory: 43495, loss_cls: 7.8665, losses_bboxes: 0.4711, loss: 8.3376 2022-09-29 13:36:13,094 - mmdet - INFO - Epoch [12][3150/7390] lr: 1.000e-04, eta: 0:35:57, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8642, losses_bboxes: 0.4699, loss: 8.3341 2022-09-29 13:36:38,906 - mmdet - INFO - Epoch [12][3200/7390] lr: 1.000e-04, eta: 0:35:31, time: 0.518, data_time: 0.010, memory: 43495, loss_cls: 7.8601, losses_bboxes: 0.4719, loss: 8.3319 2022-09-29 13:37:04,453 - mmdet - INFO - Epoch [12][3250/7390] lr: 1.000e-04, eta: 0:35:06, time: 0.510, data_time: 0.008, memory: 43495, loss_cls: 7.8649, losses_bboxes: 0.4697, loss: 8.3346 2022-09-29 13:37:30,314 - mmdet - INFO - Epoch [12][3300/7390] lr: 1.000e-04, eta: 0:34:40, time: 0.517, data_time: 0.009, memory: 43495, loss_cls: 7.8753, losses_bboxes: 0.4682, loss: 8.3435 2022-09-29 13:37:55,870 - mmdet - INFO - Epoch [12][3350/7390] lr: 1.000e-04, eta: 0:34:15, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8681, losses_bboxes: 0.4703, loss: 8.3384 2022-09-29 13:38:21,645 - mmdet - INFO - Epoch [12][3400/7390] lr: 1.000e-04, eta: 0:33:49, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8739, losses_bboxes: 0.4699, loss: 8.3438 2022-09-29 13:38:47,036 - mmdet - INFO - Epoch [12][3450/7390] lr: 1.000e-04, eta: 0:33:24, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8713, losses_bboxes: 0.4694, loss: 8.3407 2022-09-29 13:39:12,569 - mmdet - INFO - Epoch [12][3500/7390] lr: 1.000e-04, eta: 0:32:59, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8715, losses_bboxes: 0.4686, loss: 8.3402 2022-09-29 13:39:38,085 - mmdet - INFO - Epoch [12][3550/7390] lr: 1.000e-04, eta: 0:32:33, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8616, losses_bboxes: 0.4687, loss: 8.3302 2022-09-29 13:40:03,517 - mmdet - INFO - Epoch [12][3600/7390] lr: 1.000e-04, eta: 0:32:08, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8560, losses_bboxes: 0.4674, loss: 8.3234 2022-09-29 13:40:29,007 - mmdet - INFO - Epoch [12][3650/7390] lr: 1.000e-04, eta: 0:31:42, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8696, losses_bboxes: 0.4685, loss: 8.3381 2022-09-29 13:40:54,496 - mmdet - INFO - Epoch [12][3700/7390] lr: 1.000e-04, eta: 0:31:17, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8745, losses_bboxes: 0.4693, loss: 8.3438 2022-09-29 13:41:20,303 - mmdet - INFO - Epoch [12][3750/7390] lr: 1.000e-04, eta: 0:30:51, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8660, losses_bboxes: 0.4704, loss: 8.3364 2022-09-29 13:41:45,901 - mmdet - INFO - Epoch [12][3800/7390] lr: 1.000e-04, eta: 0:30:26, time: 0.513, data_time: 0.009, memory: 43495, loss_cls: 7.8655, losses_bboxes: 0.4688, loss: 8.3343 2022-09-29 13:42:11,358 - mmdet - INFO - Epoch [12][3850/7390] lr: 1.000e-04, eta: 0:30:01, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8680, losses_bboxes: 0.4690, loss: 8.3370 2022-09-29 13:42:36,837 - mmdet - INFO - Epoch [12][3900/7390] lr: 1.000e-04, eta: 0:29:35, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8588, losses_bboxes: 0.4690, loss: 8.3278 2022-09-29 13:43:02,601 - mmdet - INFO - Epoch [12][3950/7390] lr: 1.000e-04, eta: 0:29:10, time: 0.516, data_time: 0.010, memory: 43495, loss_cls: 7.8690, losses_bboxes: 0.4714, loss: 8.3404 2022-09-29 13:43:27,839 - mmdet - INFO - Epoch [12][4000/7390] lr: 1.000e-04, eta: 0:28:44, time: 0.504, data_time: 0.009, memory: 43495, loss_cls: 7.8717, losses_bboxes: 0.4672, loss: 8.3389 2022-09-29 13:43:53,132 - mmdet - INFO - Epoch [12][4050/7390] lr: 1.000e-04, eta: 0:28:19, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8684, losses_bboxes: 0.4701, loss: 8.3386 2022-09-29 13:44:18,117 - mmdet - INFO - Epoch [12][4100/7390] lr: 1.000e-04, eta: 0:27:53, time: 0.499, data_time: 0.009, memory: 43495, loss_cls: 7.8628, losses_bboxes: 0.4711, loss: 8.3339 2022-09-29 13:44:43,227 - mmdet - INFO - Epoch [12][4150/7390] lr: 1.000e-04, eta: 0:27:28, time: 0.503, data_time: 0.010, memory: 43495, loss_cls: 7.8760, losses_bboxes: 0.4708, loss: 8.3468 2022-09-29 13:45:08,586 - mmdet - INFO - Epoch [12][4200/7390] lr: 1.000e-04, eta: 0:27:02, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8662, losses_bboxes: 0.4691, loss: 8.3353 2022-09-29 13:45:34,202 - mmdet - INFO - Epoch [12][4250/7390] lr: 1.000e-04, eta: 0:26:37, time: 0.511, data_time: 0.008, memory: 43495, loss_cls: 7.8637, losses_bboxes: 0.4674, loss: 8.3311 2022-09-29 13:45:59,965 - mmdet - INFO - Epoch [12][4300/7390] lr: 1.000e-04, eta: 0:26:12, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8723, losses_bboxes: 0.4683, loss: 8.3407 2022-09-29 13:46:25,072 - mmdet - INFO - Epoch [12][4350/7390] lr: 1.000e-04, eta: 0:25:46, time: 0.501, data_time: 0.009, memory: 43495, loss_cls: 7.8765, losses_bboxes: 0.4687, loss: 8.3452 2022-09-29 13:46:50,527 - mmdet - INFO - Epoch [12][4400/7390] lr: 1.000e-04, eta: 0:25:21, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8633, losses_bboxes: 0.4689, loss: 8.3322 2022-09-29 13:47:16,108 - mmdet - INFO - Epoch [12][4450/7390] lr: 1.000e-04, eta: 0:24:55, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8664, losses_bboxes: 0.4687, loss: 8.3351 2022-09-29 13:47:41,844 - mmdet - INFO - Epoch [12][4500/7390] lr: 1.000e-04, eta: 0:24:30, time: 0.517, data_time: 0.010, memory: 43495, loss_cls: 7.8795, losses_bboxes: 0.4679, loss: 8.3474 2022-09-29 13:48:07,180 - mmdet - INFO - Epoch [12][4550/7390] lr: 1.000e-04, eta: 0:24:04, time: 0.506, data_time: 0.009, memory: 43495, loss_cls: 7.8721, losses_bboxes: 0.4675, loss: 8.3396 2022-09-29 13:48:33,480 - mmdet - INFO - Epoch [12][4600/7390] lr: 1.000e-04, eta: 0:23:39, time: 0.525, data_time: 0.009, memory: 43495, loss_cls: 7.8675, losses_bboxes: 0.4692, loss: 8.3368 2022-09-29 13:48:59,023 - mmdet - INFO - Epoch [12][4650/7390] lr: 1.000e-04, eta: 0:23:14, time: 0.513, data_time: 0.010, memory: 43495, loss_cls: 7.8702, losses_bboxes: 0.4685, loss: 8.3387 2022-09-29 13:49:24,525 - mmdet - INFO - Epoch [12][4700/7390] lr: 1.000e-04, eta: 0:22:48, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8655, losses_bboxes: 0.4691, loss: 8.3346 2022-09-29 13:49:50,013 - mmdet - INFO - Epoch [12][4750/7390] lr: 1.000e-04, eta: 0:22:23, time: 0.510, data_time: 0.011, memory: 43495, loss_cls: 7.8781, losses_bboxes: 0.4701, loss: 8.3483 2022-09-29 13:50:15,390 - mmdet - INFO - Epoch [12][4800/7390] lr: 1.000e-04, eta: 0:21:57, time: 0.509, data_time: 0.010, memory: 43495, loss_cls: 7.8715, losses_bboxes: 0.4696, loss: 8.3411 2022-09-29 13:50:41,198 - mmdet - INFO - Epoch [12][4850/7390] lr: 1.000e-04, eta: 0:21:32, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8671, losses_bboxes: 0.4694, loss: 8.3364 2022-09-29 13:51:06,628 - mmdet - INFO - Epoch [12][4900/7390] lr: 1.000e-04, eta: 0:21:06, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8631, losses_bboxes: 0.4688, loss: 8.3320 2022-09-29 13:51:32,252 - mmdet - INFO - Epoch [12][4950/7390] lr: 1.000e-04, eta: 0:20:41, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8747, losses_bboxes: 0.4674, loss: 8.3420 2022-09-29 13:51:57,665 - mmdet - INFO - Epoch [12][5000/7390] lr: 1.000e-04, eta: 0:20:15, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8643, losses_bboxes: 0.4669, loss: 8.3312 2022-09-29 13:52:23,443 - mmdet - INFO - Epoch [12][5050/7390] lr: 1.000e-04, eta: 0:19:50, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8573, losses_bboxes: 0.4682, loss: 8.3255 2022-09-29 13:52:48,758 - mmdet - INFO - Epoch [12][5100/7390] lr: 1.000e-04, eta: 0:19:25, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8651, losses_bboxes: 0.4678, loss: 8.3329 2022-09-29 13:53:13,999 - mmdet - INFO - Epoch [12][5150/7390] lr: 1.000e-04, eta: 0:18:59, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8745, losses_bboxes: 0.4711, loss: 8.3456 2022-09-29 13:53:39,616 - mmdet - INFO - Epoch [12][5200/7390] lr: 1.000e-04, eta: 0:18:34, time: 0.512, data_time: 0.009, memory: 43495, loss_cls: 7.8715, losses_bboxes: 0.4697, loss: 8.3412 2022-09-29 13:54:05,324 - mmdet - INFO - Epoch [12][5250/7390] lr: 1.000e-04, eta: 0:18:08, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8618, losses_bboxes: 0.4690, loss: 8.3308 2022-09-29 13:54:31,340 - mmdet - INFO - Epoch [12][5300/7390] lr: 1.000e-04, eta: 0:17:43, time: 0.521, data_time: 0.010, memory: 43495, loss_cls: 7.8682, losses_bboxes: 0.4680, loss: 8.3363 2022-09-29 13:54:57,110 - mmdet - INFO - Epoch [12][5350/7390] lr: 1.000e-04, eta: 0:17:17, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8702, losses_bboxes: 0.4700, loss: 8.3403 2022-09-29 13:55:22,470 - mmdet - INFO - Epoch [12][5400/7390] lr: 1.000e-04, eta: 0:16:52, time: 0.508, data_time: 0.009, memory: 43495, loss_cls: 7.8756, losses_bboxes: 0.4695, loss: 8.3451 2022-09-29 13:55:48,141 - mmdet - INFO - Epoch [12][5450/7390] lr: 1.000e-04, eta: 0:16:27, time: 0.511, data_time: 0.009, memory: 43495, loss_cls: 7.8666, losses_bboxes: 0.4698, loss: 8.3364 2022-09-29 13:56:13,900 - mmdet - INFO - Epoch [12][5500/7390] lr: 1.000e-04, eta: 0:16:01, time: 0.517, data_time: 0.011, memory: 43495, loss_cls: 7.8669, losses_bboxes: 0.4693, loss: 8.3363 2022-09-29 13:56:39,687 - mmdet - INFO - Epoch [12][5550/7390] lr: 1.000e-04, eta: 0:15:36, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8779, losses_bboxes: 0.4698, loss: 8.3476 2022-09-29 13:57:05,562 - mmdet - INFO - Epoch [12][5600/7390] lr: 1.000e-04, eta: 0:15:10, time: 0.515, data_time: 0.009, memory: 43495, loss_cls: 7.8654, losses_bboxes: 0.4702, loss: 8.3356 2022-09-29 13:57:30,525 - mmdet - INFO - Epoch [12][5650/7390] lr: 1.000e-04, eta: 0:14:45, time: 0.500, data_time: 0.012, memory: 43495, loss_cls: 7.8602, losses_bboxes: 0.4700, loss: 8.3302 2022-09-29 13:57:55,979 - mmdet - INFO - Epoch [12][5700/7390] lr: 1.000e-04, eta: 0:14:19, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8657, losses_bboxes: 0.4703, loss: 8.3360 2022-09-29 13:58:21,290 - mmdet - INFO - Epoch [12][5750/7390] lr: 1.000e-04, eta: 0:13:54, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8613, losses_bboxes: 0.4689, loss: 8.3302 2022-09-29 13:58:47,018 - mmdet - INFO - Epoch [12][5800/7390] lr: 1.000e-04, eta: 0:13:29, time: 0.514, data_time: 0.009, memory: 43495, loss_cls: 7.8666, losses_bboxes: 0.4680, loss: 8.3346 2022-09-29 13:59:12,251 - mmdet - INFO - Epoch [12][5850/7390] lr: 1.000e-04, eta: 0:13:03, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8627, losses_bboxes: 0.4713, loss: 8.3340 2022-09-29 13:59:38,159 - mmdet - INFO - Epoch [12][5900/7390] lr: 1.000e-04, eta: 0:12:38, time: 0.516, data_time: 0.009, memory: 43495, loss_cls: 7.8634, losses_bboxes: 0.4678, loss: 8.3312 2022-09-29 14:00:04,002 - mmdet - INFO - Epoch [12][5950/7390] lr: 1.000e-04, eta: 0:12:12, time: 0.519, data_time: 0.011, memory: 43495, loss_cls: 7.8662, losses_bboxes: 0.4719, loss: 8.3381 2022-09-29 14:00:29,893 - mmdet - INFO - Epoch [12][6000/7390] lr: 1.000e-04, eta: 0:11:47, time: 0.517, data_time: 0.008, memory: 43495, loss_cls: 7.8663, losses_bboxes: 0.4717, loss: 8.3381 2022-09-29 14:00:55,030 - mmdet - INFO - Epoch [12][6050/7390] lr: 1.000e-04, eta: 0:11:21, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8705, losses_bboxes: 0.4679, loss: 8.3384 2022-09-29 14:01:20,202 - mmdet - INFO - Epoch [12][6100/7390] lr: 1.000e-04, eta: 0:10:56, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8591, losses_bboxes: 0.4681, loss: 8.3273 2022-09-29 14:01:45,882 - mmdet - INFO - Epoch [12][6150/7390] lr: 1.000e-04, eta: 0:10:30, time: 0.515, data_time: 0.010, memory: 43495, loss_cls: 7.8578, losses_bboxes: 0.4707, loss: 8.3286 2022-09-29 14:02:10,985 - mmdet - INFO - Epoch [12][6200/7390] lr: 1.000e-04, eta: 0:10:05, time: 0.503, data_time: 0.009, memory: 43495, loss_cls: 7.8740, losses_bboxes: 0.4679, loss: 8.3419 2022-09-29 14:02:36,201 - mmdet - INFO - Epoch [12][6250/7390] lr: 1.000e-04, eta: 0:09:40, time: 0.504, data_time: 0.008, memory: 43495, loss_cls: 7.8645, losses_bboxes: 0.4681, loss: 8.3325 2022-09-29 14:03:01,865 - mmdet - INFO - Epoch [12][6300/7390] lr: 1.000e-04, eta: 0:09:14, time: 0.513, data_time: 0.008, memory: 43495, loss_cls: 7.8766, losses_bboxes: 0.4680, loss: 8.3446 2022-09-29 14:03:26,940 - mmdet - INFO - Epoch [12][6350/7390] lr: 1.000e-04, eta: 0:08:49, time: 0.502, data_time: 0.009, memory: 43495, loss_cls: 7.8671, losses_bboxes: 0.4683, loss: 8.3354 2022-09-29 14:03:52,566 - mmdet - INFO - Epoch [12][6400/7390] lr: 1.000e-04, eta: 0:08:23, time: 0.511, data_time: 0.008, memory: 43495, loss_cls: 7.8639, losses_bboxes: 0.4699, loss: 8.3338 2022-09-29 14:04:18,118 - mmdet - INFO - Epoch [12][6450/7390] lr: 1.000e-04, eta: 0:07:58, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8679, losses_bboxes: 0.4683, loss: 8.3362 2022-09-29 14:04:43,654 - mmdet - INFO - Epoch [12][6500/7390] lr: 1.000e-04, eta: 0:07:32, time: 0.509, data_time: 0.009, memory: 43495, loss_cls: 7.8757, losses_bboxes: 0.4678, loss: 8.3436 2022-09-29 14:05:09,433 - mmdet - INFO - Epoch [12][6550/7390] lr: 1.000e-04, eta: 0:07:07, time: 0.518, data_time: 0.011, memory: 43495, loss_cls: 7.8684, losses_bboxes: 0.4704, loss: 8.3388 2022-09-29 14:05:34,911 - mmdet - INFO - Epoch [12][6600/7390] lr: 1.000e-04, eta: 0:06:41, time: 0.510, data_time: 0.009, memory: 43495, loss_cls: 7.8702, losses_bboxes: 0.4701, loss: 8.3403 2022-09-29 14:06:00,870 - mmdet - INFO - Epoch [12][6650/7390] lr: 1.000e-04, eta: 0:06:16, time: 0.518, data_time: 0.008, memory: 43495, loss_cls: 7.8653, losses_bboxes: 0.4691, loss: 8.3344 2022-09-29 14:06:26,583 - mmdet - INFO - Epoch [12][6700/7390] lr: 1.000e-04, eta: 0:05:51, time: 0.514, data_time: 0.010, memory: 43495, loss_cls: 7.8748, losses_bboxes: 0.4697, loss: 8.3446 2022-09-29 14:06:51,966 - mmdet - INFO - Epoch [12][6750/7390] lr: 1.000e-04, eta: 0:05:25, time: 0.507, data_time: 0.010, memory: 43495, loss_cls: 7.8677, losses_bboxes: 0.4692, loss: 8.3370 2022-09-29 14:07:17,593 - mmdet - INFO - Epoch [12][6800/7390] lr: 1.000e-04, eta: 0:05:00, time: 0.515, data_time: 0.011, memory: 43495, loss_cls: 7.8663, losses_bboxes: 0.4702, loss: 8.3364 2022-09-29 14:07:42,877 - mmdet - INFO - Epoch [12][6850/7390] lr: 1.000e-04, eta: 0:04:34, time: 0.505, data_time: 0.009, memory: 43495, loss_cls: 7.8698, losses_bboxes: 0.4695, loss: 8.3393 2022-09-29 14:08:08,338 - mmdet - INFO - Epoch [12][6900/7390] lr: 1.000e-04, eta: 0:04:09, time: 0.510, data_time: 0.010, memory: 43495, loss_cls: 7.8689, losses_bboxes: 0.4693, loss: 8.3382 2022-09-29 14:08:34,023 - mmdet - INFO - Epoch [12][6950/7390] lr: 1.000e-04, eta: 0:03:43, time: 0.512, data_time: 0.008, memory: 43495, loss_cls: 7.8719, losses_bboxes: 0.4702, loss: 8.3420 2022-09-29 14:08:59,633 - mmdet - INFO - Epoch [12][7000/7390] lr: 1.000e-04, eta: 0:03:18, time: 0.511, data_time: 0.010, memory: 43495, loss_cls: 7.8696, losses_bboxes: 0.4684, loss: 8.3379 2022-09-29 14:09:25,210 - mmdet - INFO - Epoch [12][7050/7390] lr: 1.000e-04, eta: 0:02:53, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8646, losses_bboxes: 0.4677, loss: 8.3322 2022-09-29 14:09:50,600 - mmdet - INFO - Epoch [12][7100/7390] lr: 1.000e-04, eta: 0:02:27, time: 0.507, data_time: 0.009, memory: 43495, loss_cls: 7.8616, losses_bboxes: 0.4698, loss: 8.3315 2022-09-29 14:10:16,222 - mmdet - INFO - Epoch [12][7150/7390] lr: 1.000e-04, eta: 0:02:02, time: 0.512, data_time: 0.010, memory: 43495, loss_cls: 7.8788, losses_bboxes: 0.4690, loss: 8.3478 2022-09-29 14:10:41,363 - mmdet - INFO - Epoch [12][7200/7390] lr: 1.000e-04, eta: 0:01:36, time: 0.504, data_time: 0.010, memory: 43495, loss_cls: 7.8682, losses_bboxes: 0.4703, loss: 8.3385 2022-09-29 14:11:06,916 - mmdet - INFO - Epoch [12][7250/7390] lr: 1.000e-04, eta: 0:01:11, time: 0.508, data_time: 0.008, memory: 43495, loss_cls: 7.8655, losses_bboxes: 0.4698, loss: 8.3353 2022-09-29 14:11:32,452 - mmdet - INFO - Epoch [12][7300/7390] lr: 1.000e-04, eta: 0:00:45, time: 0.513, data_time: 0.011, memory: 43495, loss_cls: 7.8691, losses_bboxes: 0.4675, loss: 8.3366 2022-09-29 14:11:58,250 - mmdet - INFO - Epoch [12][7350/7390] lr: 1.000e-04, eta: 0:00:20, time: 0.514, data_time: 0.008, memory: 43495, loss_cls: 7.8664, losses_bboxes: 0.4690, loss: 8.3353 2022-09-29 14:12:19,231 - mmdet - INFO - Saving checkpoint at 12 epochs