2022-09-29 01:35:25,426 - 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 01:35:26,837 - mmdet - INFO - Distributed training: True 2022-09-29 01:35:28,074 - mmdet - INFO - Config: model = dict( type='SelfSupDetector', backbone=dict( type='SelfSupFCOS', 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_output', num_outs=5, relu_before_extra_convs=True), bbox_head=dict( type='SelfSupFCOSHead', in_channels=256, num_classes=256, stacked_convs=4, feat_channels=256, init_cfg=dict( type='Normal', layer='Conv2d', std=0.01, override=None), loss_centerness=dict( type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), loss_cls=dict( type='ContrastiveLoss', loss_weight=1.0, temperature=0.5), loss_bbox=dict(type='IoULoss', 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) ] 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) ]), 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_fcos_mstrain-soft-teacher_sampler-2048_temp0.5' auto_resume = False gpu_ids = range(0, 8) 2022-09-29 01:35:28,074 - mmdet - INFO - Set random seed to 42, deterministic: False 2022-09-29 01:35:28,617 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'torchvision://resnet50'} 2022-09-29 01:35:47,678 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-09-29 01:35:47,701 - mmdet - INFO - initialize SelfSupFCOSHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01, 'override': None} 2022-09-29 01:35:47,757 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'torchvision://resnet50'} 2022-09-29 01:35:47,854 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-09-29 01:35:47,890 - mmdet - INFO - initialize SelfSupFCOSHead 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, 256, 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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.0.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.1.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.2.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.3.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.0.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.1.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.2.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.3.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.conv_cls.0.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.conv_cls.0.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.conv_cls.2.weight - torch.Size([256, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.conv_cls.2.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.conv_reg.weight - torch.Size([4, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.conv_reg.bias - torch.Size([4]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.conv_centerness.weight - torch.Size([1, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.conv_centerness.bias - torch.Size([1]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.scales.0.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.scales.1.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.scales.2.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.scales.3.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.scales.4.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector 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, 256, 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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.0.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.1.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.2.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.3.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.0.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.1.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.2.gn.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.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.3.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.conv_cls.0.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.conv_cls.0.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.conv_cls.2.weight - torch.Size([256, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.conv_cls.2.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.conv_reg.weight - torch.Size([4, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.conv_reg.bias - torch.Size([4]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.conv_centerness.weight - torch.Size([1, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.conv_centerness.bias - torch.Size([1]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.scales.0.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.scales.1.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.scales.2.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.scales.3.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.scales.4.scale - torch.Size([]): The value is the same before and after calling `init_weights` of SelfSupDetector 2022-09-29 01:36:08,933 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. 2022-09-29 01:36:09,507 - mmdet - INFO - Start running, host: tiger@n136-147-028, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_fcos_mstrain-soft-teacher_sampler-2048_temp0.5 2022-09-29 01:36:09,507 - 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 01:36:09,507 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs 2022-09-29 01:36:09,507 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_fcos_mstrain-soft-teacher_sampler-2048_temp0.5 by HardDiskBackend. 2022-09-29 01:36:26,298 - mmdet - INFO - Epoch [1][50/7390] lr: 9.890e-04, eta: 7:33:42, time: 0.307, data_time: 0.069, memory: 19438, loss_cls: 8.4232, loss_bbox: 2.7475, loss_centerness: 0.6715, loss: 11.8422 2022-09-29 01:36:38,236 - mmdet - INFO - Epoch [1][100/7390] lr: 1.988e-03, eta: 6:42:53, time: 0.239, data_time: 0.008, memory: 19438, loss_cls: 8.2848, loss_bbox: 0.8537, loss_centerness: 0.6587, loss: 9.7973 2022-09-29 01:36:49,750 - mmdet - INFO - Epoch [1][150/7390] lr: 2.987e-03, eta: 6:21:48, time: 0.230, data_time: 0.008, memory: 19438, loss_cls: 8.1258, loss_bbox: 0.8204, loss_centerness: 0.6567, loss: 9.6029 2022-09-29 01:37:01,369 - mmdet - INFO - Epoch [1][200/7390] lr: 3.986e-03, eta: 6:11:47, time: 0.232, data_time: 0.008, memory: 19717, loss_cls: 8.0224, loss_bbox: 0.8172, loss_centerness: 0.6553, loss: 9.4948 2022-09-29 01:37:15,376 - mmdet - INFO - Epoch [1][250/7390] lr: 4.985e-03, eta: 6:19:52, time: 0.280, data_time: 0.008, memory: 20405, loss_cls: 7.9105, loss_bbox: 0.8121, loss_centerness: 0.6550, loss: 9.3776 2022-09-29 01:37:27,401 - mmdet - INFO - Epoch [1][300/7390] lr: 5.984e-03, eta: 6:15:27, time: 0.241, data_time: 0.008, memory: 20405, loss_cls: 7.7497, loss_bbox: 0.7876, loss_centerness: 0.6551, loss: 9.1924 2022-09-29 01:37:39,240 - mmdet - INFO - Epoch [1][350/7390] lr: 6.983e-03, eta: 6:11:24, time: 0.237, data_time: 0.008, memory: 20405, loss_cls: 7.5909, loss_bbox: 0.8066, loss_centerness: 0.6541, loss: 9.0516 2022-09-29 01:37:50,791 - mmdet - INFO - Epoch [1][400/7390] lr: 7.982e-03, eta: 6:07:18, time: 0.231, data_time: 0.008, memory: 20405, loss_cls: 7.4861, loss_bbox: 0.8085, loss_centerness: 0.6546, loss: 8.9491 2022-09-29 01:38:02,409 - mmdet - INFO - Epoch [1][450/7390] lr: 8.981e-03, eta: 6:04:16, time: 0.232, data_time: 0.008, memory: 20405, loss_cls: 7.4189, loss_bbox: 0.7952, loss_centerness: 0.6580, loss: 8.8721 2022-09-29 01:38:13,914 - mmdet - INFO - Epoch [1][500/7390] lr: 9.980e-03, eta: 6:01:26, time: 0.230, data_time: 0.008, memory: 21303, loss_cls: 7.3734, loss_bbox: 0.7755, loss_centerness: 0.6542, loss: 8.8031 2022-09-29 01:38:25,461 - mmdet - INFO - Epoch [1][550/7390] lr: 1.000e-02, eta: 5:59:13, time: 0.231, data_time: 0.008, memory: 21303, loss_cls: 7.3355, loss_bbox: 0.7843, loss_centerness: 0.6553, loss: 8.7751 2022-09-29 01:38:37,063 - mmdet - INFO - Epoch [1][600/7390] lr: 1.000e-02, eta: 5:57:30, time: 0.232, data_time: 0.009, memory: 21303, loss_cls: 7.2868, loss_bbox: 0.7765, loss_centerness: 0.6548, loss: 8.7181 2022-09-29 01:38:48,515 - mmdet - INFO - Epoch [1][650/7390] lr: 1.000e-02, eta: 5:55:41, time: 0.229, data_time: 0.008, memory: 21303, loss_cls: 7.2680, loss_bbox: 0.7789, loss_centerness: 0.6540, loss: 8.7009 2022-09-29 01:39:00,062 - mmdet - INFO - Epoch [1][700/7390] lr: 1.000e-02, eta: 5:54:14, time: 0.231, data_time: 0.008, memory: 21303, loss_cls: 7.2522, loss_bbox: 0.7754, loss_centerness: 0.6543, loss: 8.6819 2022-09-29 01:39:11,756 - mmdet - INFO - Epoch [1][750/7390] lr: 1.000e-02, eta: 5:53:18, time: 0.234, data_time: 0.009, memory: 21303, loss_cls: 7.2455, loss_bbox: 0.7765, loss_centerness: 0.6562, loss: 8.6782 2022-09-29 01:39:23,300 - mmdet - INFO - Epoch [1][800/7390] lr: 1.000e-02, eta: 5:52:10, time: 0.231, data_time: 0.009, memory: 21303, loss_cls: 7.2344, loss_bbox: 0.7772, loss_centerness: 0.6549, loss: 8.6666 2022-09-29 01:39:34,885 - mmdet - INFO - Epoch [1][850/7390] lr: 1.000e-02, eta: 5:51:12, time: 0.232, data_time: 0.008, memory: 21345, loss_cls: 7.2233, loss_bbox: 0.7697, loss_centerness: 0.6534, loss: 8.6464 2022-09-29 01:39:46,426 - mmdet - INFO - Epoch [1][900/7390] lr: 1.000e-02, eta: 5:50:17, time: 0.231, data_time: 0.008, memory: 21345, loss_cls: 7.2054, loss_bbox: 0.7697, loss_centerness: 0.6540, loss: 8.6291 2022-09-29 01:39:57,774 - mmdet - INFO - Epoch [1][950/7390] lr: 1.000e-02, eta: 5:49:07, time: 0.227, data_time: 0.008, memory: 21345, loss_cls: 7.2060, loss_bbox: 0.7669, loss_centerness: 0.6551, loss: 8.6280 2022-09-29 01:40:09,258 - mmdet - INFO - Exp name: fcos.py 2022-09-29 01:40:09,258 - mmdet - INFO - Epoch [1][1000/7390] lr: 1.000e-02, eta: 5:48:15, time: 0.230, data_time: 0.008, memory: 21345, loss_cls: 7.1912, loss_bbox: 0.7698, loss_centerness: 0.6544, loss: 8.6153 2022-09-29 01:40:20,732 - mmdet - INFO - Epoch [1][1050/7390] lr: 1.000e-02, eta: 5:47:26, time: 0.230, data_time: 0.008, memory: 21345, loss_cls: 7.1846, loss_bbox: 0.7806, loss_centerness: 0.6516, loss: 8.6168 2022-09-29 01:40:32,325 - mmdet - INFO - Epoch [1][1100/7390] lr: 1.000e-02, eta: 5:46:50, time: 0.232, data_time: 0.008, memory: 21345, loss_cls: 7.1902, loss_bbox: 0.7779, loss_centerness: 0.6548, loss: 8.6229 2022-09-29 01:40:44,060 - mmdet - INFO - Epoch [1][1150/7390] lr: 1.000e-02, eta: 5:46:28, time: 0.235, data_time: 0.008, memory: 21345, loss_cls: 7.1896, loss_bbox: 0.7671, loss_centerness: 0.6535, loss: 8.6102 2022-09-29 01:40:55,614 - mmdet - INFO - Epoch [1][1200/7390] lr: 1.000e-02, eta: 5:45:52, time: 0.231, data_time: 0.008, memory: 21345, loss_cls: 7.1789, loss_bbox: 0.7778, loss_centerness: 0.6542, loss: 8.6109 2022-09-29 01:41:07,047 - mmdet - INFO - Epoch [1][1250/7390] lr: 1.000e-02, eta: 5:45:10, time: 0.229, data_time: 0.008, memory: 21345, loss_cls: 7.1801, loss_bbox: 0.7669, loss_centerness: 0.6532, loss: 8.6003 2022-09-29 01:41:18,628 - mmdet - INFO - Epoch [1][1300/7390] lr: 1.000e-02, eta: 5:44:41, time: 0.232, data_time: 0.008, memory: 21345, loss_cls: 7.1824, loss_bbox: 0.7705, loss_centerness: 0.6536, loss: 8.6066 2022-09-29 01:41:30,032 - mmdet - INFO - Epoch [1][1350/7390] lr: 1.000e-02, eta: 5:44:01, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.1655, loss_bbox: 0.7677, loss_centerness: 0.6540, loss: 8.5872 2022-09-29 01:41:41,646 - mmdet - INFO - Epoch [1][1400/7390] lr: 1.000e-02, eta: 5:43:37, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1752, loss_bbox: 0.7653, loss_centerness: 0.6532, loss: 8.5937 2022-09-29 01:41:53,195 - mmdet - INFO - Epoch [1][1450/7390] lr: 1.000e-02, eta: 5:43:08, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1687, loss_bbox: 0.7749, loss_centerness: 0.6531, loss: 8.5967 2022-09-29 01:42:04,822 - mmdet - INFO - Epoch [1][1500/7390] lr: 1.000e-02, eta: 5:42:46, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.1657, loss_bbox: 0.7602, loss_centerness: 0.6527, loss: 8.5785 2022-09-29 01:42:16,360 - mmdet - INFO - Epoch [1][1550/7390] lr: 1.000e-02, eta: 5:42:21, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1609, loss_bbox: 0.7682, loss_centerness: 0.6540, loss: 8.5831 2022-09-29 01:42:27,855 - mmdet - INFO - Epoch [1][1600/7390] lr: 1.000e-02, eta: 5:41:53, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1718, loss_bbox: 0.7585, loss_centerness: 0.6536, loss: 8.5840 2022-09-29 01:42:39,468 - mmdet - INFO - Epoch [1][1650/7390] lr: 1.000e-02, eta: 5:41:33, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1620, loss_bbox: 0.7754, loss_centerness: 0.6536, loss: 8.5910 2022-09-29 01:42:50,929 - mmdet - INFO - Epoch [1][1700/7390] lr: 1.000e-02, eta: 5:41:04, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.1551, loss_bbox: 0.7693, loss_centerness: 0.6527, loss: 8.5771 2022-09-29 01:43:02,600 - mmdet - INFO - Epoch [1][1750/7390] lr: 1.000e-02, eta: 5:40:48, time: 0.234, data_time: 0.008, memory: 22169, loss_cls: 7.1479, loss_bbox: 0.7655, loss_centerness: 0.6529, loss: 8.5663 2022-09-29 01:43:14,230 - mmdet - INFO - Epoch [1][1800/7390] lr: 1.000e-02, eta: 5:40:29, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1530, loss_bbox: 0.7673, loss_centerness: 0.6538, loss: 8.5741 2022-09-29 01:43:25,703 - mmdet - INFO - Epoch [1][1850/7390] lr: 1.000e-02, eta: 5:40:04, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1544, loss_bbox: 0.7702, loss_centerness: 0.6530, loss: 8.5776 2022-09-29 01:43:37,372 - mmdet - INFO - Epoch [1][1900/7390] lr: 1.000e-02, eta: 5:39:49, time: 0.234, data_time: 0.008, memory: 22169, loss_cls: 7.1467, loss_bbox: 0.7677, loss_centerness: 0.6541, loss: 8.5685 2022-09-29 01:43:48,878 - mmdet - INFO - Epoch [1][1950/7390] lr: 1.000e-02, eta: 5:39:27, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1437, loss_bbox: 0.7682, loss_centerness: 0.6540, loss: 8.5658 2022-09-29 01:44:00,321 - mmdet - INFO - Exp name: fcos.py 2022-09-29 01:44:00,322 - mmdet - INFO - Epoch [1][2000/7390] lr: 1.000e-02, eta: 5:39:02, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.1482, loss_bbox: 0.7643, loss_centerness: 0.6537, loss: 8.5662 2022-09-29 01:44:12,152 - mmdet - INFO - Epoch [1][2050/7390] lr: 1.000e-02, eta: 5:38:55, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.1398, loss_bbox: 0.7598, loss_centerness: 0.6533, loss: 8.5528 2022-09-29 01:44:23,694 - mmdet - INFO - Epoch [1][2100/7390] lr: 1.000e-02, eta: 5:38:35, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1461, loss_bbox: 0.7621, loss_centerness: 0.6532, loss: 8.5614 2022-09-29 01:44:35,258 - mmdet - INFO - Epoch [1][2150/7390] lr: 1.000e-02, eta: 5:38:16, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1386, loss_bbox: 0.7653, loss_centerness: 0.6533, loss: 8.5572 2022-09-29 01:44:46,907 - mmdet - INFO - Epoch [1][2200/7390] lr: 1.000e-02, eta: 5:38:01, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.1374, loss_bbox: 0.7639, loss_centerness: 0.6530, loss: 8.5543 2022-09-29 01:44:58,348 - mmdet - INFO - Epoch [1][2250/7390] lr: 1.000e-02, eta: 5:37:39, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.1452, loss_bbox: 0.7547, loss_centerness: 0.6526, loss: 8.5525 2022-09-29 01:45:09,835 - mmdet - INFO - Epoch [1][2300/7390] lr: 1.000e-02, eta: 5:37:18, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1442, loss_bbox: 0.7588, loss_centerness: 0.6528, loss: 8.5558 2022-09-29 01:45:21,375 - mmdet - INFO - Epoch [1][2350/7390] lr: 1.000e-02, eta: 5:37:00, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1425, loss_bbox: 0.7605, loss_centerness: 0.6530, loss: 8.5560 2022-09-29 01:45:32,977 - mmdet - INFO - Epoch [1][2400/7390] lr: 1.000e-02, eta: 5:36:44, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1325, loss_bbox: 0.7611, loss_centerness: 0.6531, loss: 8.5466 2022-09-29 01:45:44,727 - mmdet - INFO - Epoch [1][2450/7390] lr: 1.000e-02, eta: 5:36:34, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.1298, loss_bbox: 0.7581, loss_centerness: 0.6527, loss: 8.5406 2022-09-29 01:45:56,215 - mmdet - INFO - Epoch [1][2500/7390] lr: 1.000e-02, eta: 5:36:15, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1341, loss_bbox: 0.7611, loss_centerness: 0.6522, loss: 8.5474 2022-09-29 01:46:07,774 - mmdet - INFO - Epoch [1][2550/7390] lr: 1.000e-02, eta: 5:35:58, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1275, loss_bbox: 0.7598, loss_centerness: 0.6529, loss: 8.5402 2022-09-29 01:46:19,245 - mmdet - INFO - Epoch [1][2600/7390] lr: 1.000e-02, eta: 5:35:39, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1286, loss_bbox: 0.7550, loss_centerness: 0.6518, loss: 8.5354 2022-09-29 01:46:30,758 - mmdet - INFO - Epoch [1][2650/7390] lr: 1.000e-02, eta: 5:35:21, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1301, loss_bbox: 0.7597, loss_centerness: 0.6528, loss: 8.5426 2022-09-29 01:46:42,289 - mmdet - INFO - Epoch [1][2700/7390] lr: 1.000e-02, eta: 5:35:04, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.1245, loss_bbox: 0.7683, loss_centerness: 0.6524, loss: 8.5453 2022-09-29 01:46:53,664 - mmdet - INFO - Epoch [1][2750/7390] lr: 1.000e-02, eta: 5:34:42, time: 0.227, data_time: 0.008, memory: 22169, loss_cls: 7.1309, loss_bbox: 0.7710, loss_centerness: 0.6532, loss: 8.5551 2022-09-29 01:47:05,168 - mmdet - INFO - Epoch [1][2800/7390] lr: 1.000e-02, eta: 5:34:25, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1204, loss_bbox: 0.7660, loss_centerness: 0.6524, loss: 8.5387 2022-09-29 01:47:16,730 - mmdet - INFO - Epoch [1][2850/7390] lr: 1.000e-02, eta: 5:34:10, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.1310, loss_bbox: 0.7681, loss_centerness: 0.6532, loss: 8.5523 2022-09-29 01:47:28,246 - mmdet - INFO - Epoch [1][2900/7390] lr: 1.000e-02, eta: 5:33:53, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1314, loss_bbox: 0.7540, loss_centerness: 0.6526, loss: 8.5380 2022-09-29 01:47:39,729 - mmdet - INFO - Epoch [1][2950/7390] lr: 1.000e-02, eta: 5:33:36, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1337, loss_bbox: 0.7562, loss_centerness: 0.6524, loss: 8.5423 2022-09-29 01:47:51,248 - mmdet - INFO - Exp name: fcos.py 2022-09-29 01:47:51,249 - mmdet - INFO - Epoch [1][3000/7390] lr: 1.000e-02, eta: 5:33:20, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1208, loss_bbox: 0.7581, loss_centerness: 0.6521, loss: 8.5310 2022-09-29 01:48:02,884 - mmdet - INFO - Epoch [1][3050/7390] lr: 1.000e-02, eta: 5:33:07, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.1310, loss_bbox: 0.7531, loss_centerness: 0.6524, loss: 8.5365 2022-09-29 01:48:14,509 - mmdet - INFO - Epoch [1][3100/7390] lr: 1.000e-02, eta: 5:32:54, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1214, loss_bbox: 0.7685, loss_centerness: 0.6533, loss: 8.5432 2022-09-29 01:48:26,144 - mmdet - INFO - Epoch [1][3150/7390] lr: 1.000e-02, eta: 5:32:42, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.1320, loss_bbox: 0.7624, loss_centerness: 0.6533, loss: 8.5476 2022-09-29 01:48:37,749 - mmdet - INFO - Epoch [1][3200/7390] lr: 1.000e-02, eta: 5:32:28, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1240, loss_bbox: 0.7544, loss_centerness: 0.6537, loss: 8.5321 2022-09-29 01:48:49,243 - mmdet - INFO - Epoch [1][3250/7390] lr: 1.000e-02, eta: 5:32:12, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1307, loss_bbox: 0.7573, loss_centerness: 0.6524, loss: 8.5404 2022-09-29 01:49:00,560 - mmdet - INFO - Epoch [1][3300/7390] lr: 1.000e-02, eta: 5:31:51, time: 0.226, data_time: 0.008, memory: 22169, loss_cls: 7.1209, loss_bbox: 0.7495, loss_centerness: 0.6524, loss: 8.5227 2022-09-29 01:49:13,541 - mmdet - INFO - Epoch [1][3350/7390] lr: 1.000e-02, eta: 5:32:13, time: 0.260, data_time: 0.008, memory: 22169, loss_cls: 7.1262, loss_bbox: 0.7744, loss_centerness: 0.6528, loss: 8.5534 2022-09-29 01:49:25,049 - mmdet - INFO - Epoch [1][3400/7390] lr: 1.000e-02, eta: 5:31:57, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1213, loss_bbox: 0.7691, loss_centerness: 0.6527, loss: 8.5431 2022-09-29 01:49:36,908 - mmdet - INFO - Epoch [1][3450/7390] lr: 1.000e-02, eta: 5:31:50, time: 0.237, data_time: 0.008, memory: 22169, loss_cls: 7.1195, loss_bbox: 0.7559, loss_centerness: 0.6534, loss: 8.5287 2022-09-29 01:49:48,336 - mmdet - INFO - Epoch [1][3500/7390] lr: 1.000e-02, eta: 5:31:32, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.1239, loss_bbox: 0.7567, loss_centerness: 0.6524, loss: 8.5331 2022-09-29 01:49:59,835 - mmdet - INFO - Epoch [1][3550/7390] lr: 1.000e-02, eta: 5:31:16, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.1153, loss_bbox: 0.7574, loss_centerness: 0.6520, loss: 8.5246 2022-09-29 01:50:11,408 - mmdet - INFO - Epoch [1][3600/7390] lr: 1.000e-02, eta: 5:31:02, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1251, loss_bbox: 0.7599, loss_centerness: 0.6524, loss: 8.5375 2022-09-29 01:50:23,036 - mmdet - INFO - Epoch [1][3650/7390] lr: 1.000e-02, eta: 5:30:49, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1134, loss_bbox: 0.7557, loss_centerness: 0.6531, loss: 8.5222 2022-09-29 01:50:34,563 - mmdet - INFO - Epoch [1][3700/7390] lr: 1.000e-02, eta: 5:30:34, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1164, loss_bbox: 0.7614, loss_centerness: 0.6523, loss: 8.5301 2022-09-29 01:50:46,184 - mmdet - INFO - Epoch [1][3750/7390] lr: 1.000e-02, eta: 5:30:22, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1121, loss_bbox: 0.7498, loss_centerness: 0.6521, loss: 8.5139 2022-09-29 01:50:57,729 - mmdet - INFO - Epoch [1][3800/7390] lr: 1.000e-02, eta: 5:30:07, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1127, loss_bbox: 0.7557, loss_centerness: 0.6528, loss: 8.5213 2022-09-29 01:51:09,213 - mmdet - INFO - Epoch [1][3850/7390] lr: 1.000e-02, eta: 5:29:52, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1153, loss_bbox: 0.7580, loss_centerness: 0.6525, loss: 8.5259 2022-09-29 01:51:20,736 - mmdet - INFO - Epoch [1][3900/7390] lr: 1.000e-02, eta: 5:29:37, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1201, loss_bbox: 0.7531, loss_centerness: 0.6523, loss: 8.5255 2022-09-29 01:51:32,303 - mmdet - INFO - Epoch [1][3950/7390] lr: 1.000e-02, eta: 5:29:23, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1138, loss_bbox: 0.7575, loss_centerness: 0.6522, loss: 8.5235 2022-09-29 01:51:43,789 - mmdet - INFO - Exp name: fcos.py 2022-09-29 01:51:43,790 - mmdet - INFO - Epoch [1][4000/7390] lr: 1.000e-02, eta: 5:29:08, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1054, loss_bbox: 0.7557, loss_centerness: 0.6525, loss: 8.5136 2022-09-29 01:51:55,665 - mmdet - INFO - Epoch [1][4050/7390] lr: 1.000e-02, eta: 5:29:00, time: 0.237, data_time: 0.008, memory: 22169, loss_cls: 7.1058, loss_bbox: 0.7569, loss_centerness: 0.6520, loss: 8.5147 2022-09-29 01:52:07,073 - mmdet - INFO - Epoch [1][4100/7390] lr: 1.000e-02, eta: 5:28:44, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.1126, loss_bbox: 0.7624, loss_centerness: 0.6531, loss: 8.5281 2022-09-29 01:52:18,493 - mmdet - INFO - Epoch [1][4150/7390] lr: 1.000e-02, eta: 5:28:26, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.1157, loss_bbox: 0.7504, loss_centerness: 0.6531, loss: 8.5192 2022-09-29 01:52:29,966 - mmdet - INFO - Epoch [1][4200/7390] lr: 1.000e-02, eta: 5:28:11, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.1064, loss_bbox: 0.7522, loss_centerness: 0.6519, loss: 8.5105 2022-09-29 01:52:41,446 - mmdet - INFO - Epoch [1][4250/7390] lr: 1.000e-02, eta: 5:27:56, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1098, loss_bbox: 0.7537, loss_centerness: 0.6524, loss: 8.5159 2022-09-29 01:52:53,076 - mmdet - INFO - Epoch [1][4300/7390] lr: 1.000e-02, eta: 5:27:44, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.1029, loss_bbox: 0.7540, loss_centerness: 0.6525, loss: 8.5095 2022-09-29 01:53:04,567 - mmdet - INFO - Epoch [1][4350/7390] lr: 1.000e-02, eta: 5:27:30, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1132, loss_bbox: 0.7515, loss_centerness: 0.6525, loss: 8.5172 2022-09-29 01:53:16,288 - mmdet - INFO - Epoch [1][4400/7390] lr: 1.000e-02, eta: 5:27:19, time: 0.234, data_time: 0.008, memory: 22169, loss_cls: 7.1054, loss_bbox: 0.7590, loss_centerness: 0.6527, loss: 8.5171 2022-09-29 01:53:27,955 - mmdet - INFO - Epoch [1][4450/7390] lr: 1.000e-02, eta: 5:27:08, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.1133, loss_bbox: 0.7518, loss_centerness: 0.6525, loss: 8.5177 2022-09-29 01:53:39,638 - mmdet - INFO - Epoch [1][4500/7390] lr: 1.000e-02, eta: 5:26:57, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.1027, loss_bbox: 0.7506, loss_centerness: 0.6521, loss: 8.5054 2022-09-29 01:53:51,268 - mmdet - INFO - Epoch [1][4550/7390] lr: 1.000e-02, eta: 5:26:45, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.1046, loss_bbox: 0.7513, loss_centerness: 0.6522, loss: 8.5081 2022-09-29 01:54:02,694 - mmdet - INFO - Epoch [1][4600/7390] lr: 1.000e-02, eta: 5:26:29, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.1098, loss_bbox: 0.7516, loss_centerness: 0.6521, loss: 8.5136 2022-09-29 01:54:14,197 - mmdet - INFO - Epoch [1][4650/7390] lr: 1.000e-02, eta: 5:26:14, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1043, loss_bbox: 0.7513, loss_centerness: 0.6526, loss: 8.5082 2022-09-29 01:54:25,809 - mmdet - INFO - Epoch [1][4700/7390] lr: 1.000e-02, eta: 5:26:02, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0996, loss_bbox: 0.7552, loss_centerness: 0.6530, loss: 8.5077 2022-09-29 01:54:37,628 - mmdet - INFO - Epoch [1][4750/7390] lr: 1.000e-02, eta: 5:25:54, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.1118, loss_bbox: 0.7508, loss_centerness: 0.6523, loss: 8.5149 2022-09-29 01:54:49,318 - mmdet - INFO - Epoch [1][4800/7390] lr: 1.000e-02, eta: 5:25:43, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.1036, loss_bbox: 0.7578, loss_centerness: 0.6520, loss: 8.5134 2022-09-29 01:55:00,869 - mmdet - INFO - Epoch [1][4850/7390] lr: 1.000e-02, eta: 5:25:30, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.1070, loss_bbox: 0.7604, loss_centerness: 0.6521, loss: 8.5195 2022-09-29 01:55:12,416 - mmdet - INFO - Epoch [1][4900/7390] lr: 1.000e-02, eta: 5:25:16, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.1057, loss_bbox: 0.7479, loss_centerness: 0.6523, loss: 8.5059 2022-09-29 01:55:24,020 - mmdet - INFO - Epoch [1][4950/7390] lr: 1.000e-02, eta: 5:25:03, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1026, loss_bbox: 0.7479, loss_centerness: 0.6522, loss: 8.5027 2022-09-29 01:55:35,653 - mmdet - INFO - Exp name: fcos.py 2022-09-29 01:55:35,653 - mmdet - INFO - Epoch [1][5000/7390] lr: 1.000e-02, eta: 5:24:51, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.1044, loss_bbox: 0.7527, loss_centerness: 0.6521, loss: 8.5093 2022-09-29 01:55:47,217 - mmdet - INFO - Epoch [1][5050/7390] lr: 1.000e-02, eta: 5:24:39, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0974, loss_bbox: 0.7622, loss_centerness: 0.6526, loss: 8.5121 2022-09-29 01:55:58,715 - mmdet - INFO - Epoch [1][5100/7390] lr: 1.000e-02, eta: 5:24:25, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0976, loss_bbox: 0.7527, loss_centerness: 0.6523, loss: 8.5027 2022-09-29 01:56:10,242 - mmdet - INFO - Epoch [1][5150/7390] lr: 1.000e-02, eta: 5:24:11, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1020, loss_bbox: 0.7542, loss_centerness: 0.6532, loss: 8.5095 2022-09-29 01:56:21,994 - mmdet - INFO - Epoch [1][5200/7390] lr: 1.000e-02, eta: 5:24:01, time: 0.234, data_time: 0.008, memory: 22169, loss_cls: 7.1013, loss_bbox: 0.7561, loss_centerness: 0.6524, loss: 8.5098 2022-09-29 01:56:33,574 - mmdet - INFO - Epoch [1][5250/7390] lr: 1.000e-02, eta: 5:23:48, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0897, loss_bbox: 0.7528, loss_centerness: 0.6501, loss: 8.4926 2022-09-29 01:56:45,181 - mmdet - INFO - Epoch [1][5300/7390] lr: 1.000e-02, eta: 5:23:36, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.1068, loss_bbox: 0.7476, loss_centerness: 0.6528, loss: 8.5072 2022-09-29 01:56:56,785 - mmdet - INFO - Epoch [1][5350/7390] lr: 1.000e-02, eta: 5:23:24, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0974, loss_bbox: 0.7551, loss_centerness: 0.6521, loss: 8.5046 2022-09-29 01:57:08,267 - mmdet - INFO - Epoch [1][5400/7390] lr: 1.000e-02, eta: 5:23:10, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.1058, loss_bbox: 0.7532, loss_centerness: 0.6519, loss: 8.5109 2022-09-29 01:57:19,774 - mmdet - INFO - Epoch [1][5450/7390] lr: 1.000e-02, eta: 5:22:56, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0936, loss_bbox: 0.7484, loss_centerness: 0.6526, loss: 8.4945 2022-09-29 01:57:31,336 - mmdet - INFO - Epoch [1][5500/7390] lr: 1.000e-02, eta: 5:22:43, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0993, loss_bbox: 0.7463, loss_centerness: 0.6526, loss: 8.4981 2022-09-29 01:57:42,811 - mmdet - INFO - Epoch [1][5550/7390] lr: 1.000e-02, eta: 5:22:29, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.1075, loss_bbox: 0.7479, loss_centerness: 0.6526, loss: 8.5080 2022-09-29 01:57:54,167 - mmdet - INFO - Epoch [1][5600/7390] lr: 1.000e-02, eta: 5:22:13, time: 0.227, data_time: 0.008, memory: 22169, loss_cls: 7.1042, loss_bbox: 0.7493, loss_centerness: 0.6519, loss: 8.5054 2022-09-29 01:58:05,661 - mmdet - INFO - Epoch [1][5650/7390] lr: 1.000e-02, eta: 5:22:00, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0965, loss_bbox: 0.7492, loss_centerness: 0.6520, loss: 8.4976 2022-09-29 01:58:17,326 - mmdet - INFO - Epoch [1][5700/7390] lr: 1.000e-02, eta: 5:21:48, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.0980, loss_bbox: 0.7498, loss_centerness: 0.6523, loss: 8.5001 2022-09-29 01:58:28,726 - mmdet - INFO - Epoch [1][5750/7390] lr: 1.000e-02, eta: 5:21:34, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.0996, loss_bbox: 0.7496, loss_centerness: 0.6527, loss: 8.5019 2022-09-29 01:58:40,332 - mmdet - INFO - Epoch [1][5800/7390] lr: 1.000e-02, eta: 5:21:21, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0947, loss_bbox: 0.7538, loss_centerness: 0.6523, loss: 8.5007 2022-09-29 01:58:51,903 - mmdet - INFO - Epoch [1][5850/7390] lr: 1.000e-02, eta: 5:21:09, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0999, loss_bbox: 0.7509, loss_centerness: 0.6524, loss: 8.5032 2022-09-29 01:59:03,339 - mmdet - INFO - Epoch [1][5900/7390] lr: 1.000e-02, eta: 5:20:55, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0932, loss_bbox: 0.7493, loss_centerness: 0.6516, loss: 8.4941 2022-09-29 01:59:14,824 - mmdet - INFO - Epoch [1][5950/7390] lr: 1.000e-02, eta: 5:20:41, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0934, loss_bbox: 0.7457, loss_centerness: 0.6522, loss: 8.4913 2022-09-29 01:59:26,287 - mmdet - INFO - Exp name: fcos.py 2022-09-29 01:59:26,288 - mmdet - INFO - Epoch [1][6000/7390] lr: 1.000e-02, eta: 5:20:27, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0878, loss_bbox: 0.7474, loss_centerness: 0.6526, loss: 8.4877 2022-09-29 01:59:37,759 - mmdet - INFO - Epoch [1][6050/7390] lr: 1.000e-02, eta: 5:20:13, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.1016, loss_bbox: 0.7495, loss_centerness: 0.6524, loss: 8.5035 2022-09-29 01:59:49,188 - mmdet - INFO - Epoch [1][6100/7390] lr: 1.000e-02, eta: 5:19:59, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.0968, loss_bbox: 0.7474, loss_centerness: 0.6520, loss: 8.4962 2022-09-29 02:00:00,732 - mmdet - INFO - Epoch [1][6150/7390] lr: 1.000e-02, eta: 5:19:46, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0922, loss_bbox: 0.7503, loss_centerness: 0.6530, loss: 8.4955 2022-09-29 02:00:12,203 - mmdet - INFO - Epoch [1][6200/7390] lr: 1.000e-02, eta: 5:19:33, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0906, loss_bbox: 0.7457, loss_centerness: 0.6521, loss: 8.4885 2022-09-29 02:00:23,609 - mmdet - INFO - Epoch [1][6250/7390] lr: 1.000e-02, eta: 5:19:18, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.0930, loss_bbox: 0.7493, loss_centerness: 0.6512, loss: 8.4934 2022-09-29 02:00:35,049 - mmdet - INFO - Epoch [1][6300/7390] lr: 1.000e-02, eta: 5:19:04, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0933, loss_bbox: 0.7501, loss_centerness: 0.6520, loss: 8.4953 2022-09-29 02:00:46,766 - mmdet - INFO - Epoch [1][6350/7390] lr: 1.000e-02, eta: 5:18:54, time: 0.234, data_time: 0.008, memory: 22169, loss_cls: 7.0884, loss_bbox: 0.7466, loss_centerness: 0.6522, loss: 8.4872 2022-09-29 02:00:58,268 - mmdet - INFO - Epoch [1][6400/7390] lr: 1.000e-02, eta: 5:18:41, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0879, loss_bbox: 0.7483, loss_centerness: 0.6527, loss: 8.4889 2022-09-29 02:01:09,614 - mmdet - INFO - Epoch [1][6450/7390] lr: 1.000e-02, eta: 5:18:25, time: 0.227, data_time: 0.008, memory: 22169, loss_cls: 7.0941, loss_bbox: 0.7453, loss_centerness: 0.6515, loss: 8.4910 2022-09-29 02:01:21,167 - mmdet - INFO - Epoch [1][6500/7390] lr: 1.000e-02, eta: 5:18:13, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0852, loss_bbox: 0.7501, loss_centerness: 0.6515, loss: 8.4868 2022-09-29 02:01:32,705 - mmdet - INFO - Epoch [1][6550/7390] lr: 1.000e-02, eta: 5:18:00, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0938, loss_bbox: 0.7475, loss_centerness: 0.6529, loss: 8.4942 2022-09-29 02:01:44,149 - mmdet - INFO - Epoch [1][6600/7390] lr: 1.000e-02, eta: 5:17:47, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0940, loss_bbox: 0.7477, loss_centerness: 0.6522, loss: 8.4940 2022-09-29 02:01:55,704 - mmdet - INFO - Epoch [1][6650/7390] lr: 1.000e-02, eta: 5:17:34, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0850, loss_bbox: 0.7444, loss_centerness: 0.6528, loss: 8.4822 2022-09-29 02:02:07,182 - mmdet - INFO - Epoch [1][6700/7390] lr: 1.000e-02, eta: 5:17:21, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0819, loss_bbox: 0.7481, loss_centerness: 0.6532, loss: 8.4831 2022-09-29 02:02:18,707 - mmdet - INFO - Epoch [1][6750/7390] lr: 1.000e-02, eta: 5:17:08, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0954, loss_bbox: 0.7439, loss_centerness: 0.6519, loss: 8.4911 2022-09-29 02:02:30,052 - mmdet - INFO - Epoch [1][6800/7390] lr: 1.000e-02, eta: 5:16:54, time: 0.227, data_time: 0.008, memory: 22169, loss_cls: 7.0985, loss_bbox: 0.7521, loss_centerness: 0.6522, loss: 8.5029 2022-09-29 02:02:41,598 - mmdet - INFO - Epoch [1][6850/7390] lr: 1.000e-02, eta: 5:16:41, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0900, loss_bbox: 0.7503, loss_centerness: 0.6523, loss: 8.4926 2022-09-29 02:02:53,113 - mmdet - INFO - Epoch [1][6900/7390] lr: 1.000e-02, eta: 5:16:28, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0857, loss_bbox: 0.7477, loss_centerness: 0.6520, loss: 8.4854 2022-09-29 02:03:04,622 - mmdet - INFO - Epoch [1][6950/7390] lr: 1.000e-02, eta: 5:16:15, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0938, loss_bbox: 0.7475, loss_centerness: 0.6524, loss: 8.4937 2022-09-29 02:03:16,024 - mmdet - INFO - Exp name: fcos.py 2022-09-29 02:03:16,024 - mmdet - INFO - Epoch [1][7000/7390] lr: 1.000e-02, eta: 5:16:02, time: 0.228, data_time: 0.009, memory: 22169, loss_cls: 7.0943, loss_bbox: 0.7496, loss_centerness: 0.6521, loss: 8.4960 2022-09-29 02:03:27,368 - mmdet - INFO - Epoch [1][7050/7390] lr: 1.000e-02, eta: 5:15:47, time: 0.227, data_time: 0.008, memory: 22169, loss_cls: 7.0835, loss_bbox: 0.7496, loss_centerness: 0.6523, loss: 8.4854 2022-09-29 02:03:38,827 - mmdet - INFO - Epoch [1][7100/7390] lr: 1.000e-02, eta: 5:15:34, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0956, loss_bbox: 0.7466, loss_centerness: 0.6526, loss: 8.4948 2022-09-29 02:03:50,451 - mmdet - INFO - Epoch [1][7150/7390] lr: 1.000e-02, eta: 5:15:22, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0887, loss_bbox: 0.7523, loss_centerness: 0.6523, loss: 8.4932 2022-09-29 02:04:02,025 - mmdet - INFO - Epoch [1][7200/7390] lr: 1.000e-02, eta: 5:15:10, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0920, loss_bbox: 0.7474, loss_centerness: 0.6516, loss: 8.4909 2022-09-29 02:04:13,584 - mmdet - INFO - Epoch [1][7250/7390] lr: 1.000e-02, eta: 5:14:58, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0926, loss_bbox: 0.7411, loss_centerness: 0.6513, loss: 8.4850 2022-09-29 02:04:24,997 - mmdet - INFO - Epoch [1][7300/7390] lr: 1.000e-02, eta: 5:14:44, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.0855, loss_bbox: 0.7490, loss_centerness: 0.6525, loss: 8.4870 2022-09-29 02:04:36,444 - mmdet - INFO - Epoch [1][7350/7390] lr: 1.000e-02, eta: 5:14:31, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0963, loss_bbox: 0.7462, loss_centerness: 0.6522, loss: 8.4947 2022-09-29 02:04:45,840 - mmdet - INFO - Saving checkpoint at 1 epochs 2022-09-29 02:05:01,727 - mmdet - INFO - Epoch [2][50/7390] lr: 1.000e-02, eta: 5:13:06, time: 0.299, data_time: 0.072, memory: 22169, loss_cls: 7.0905, loss_bbox: 0.7581, loss_centerness: 0.6527, loss: 8.5013 2022-09-29 02:05:13,341 - mmdet - INFO - Epoch [2][100/7390] lr: 1.000e-02, eta: 5:12:55, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0699, loss_bbox: 0.7497, loss_centerness: 0.6503, loss: 8.4699 2022-09-29 02:05:24,867 - mmdet - INFO - Epoch [2][150/7390] lr: 1.000e-02, eta: 5:12:43, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0728, loss_bbox: 0.7446, loss_centerness: 0.6509, loss: 8.4684 2022-09-29 02:05:36,317 - mmdet - INFO - Epoch [2][200/7390] lr: 1.000e-02, eta: 5:12:30, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0914, loss_bbox: 0.7474, loss_centerness: 0.6520, loss: 8.4907 2022-09-29 02:05:47,875 - mmdet - INFO - Epoch [2][250/7390] lr: 1.000e-02, eta: 5:12:18, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0945, loss_bbox: 0.7432, loss_centerness: 0.6520, loss: 8.4897 2022-09-29 02:05:59,457 - mmdet - INFO - Epoch [2][300/7390] lr: 1.000e-02, eta: 5:12:07, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0971, loss_bbox: 0.7465, loss_centerness: 0.6521, loss: 8.4956 2022-09-29 02:06:11,099 - mmdet - INFO - Epoch [2][350/7390] lr: 1.000e-02, eta: 5:11:56, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.0906, loss_bbox: 0.7446, loss_centerness: 0.6514, loss: 8.4866 2022-09-29 02:06:22,696 - mmdet - INFO - Epoch [2][400/7390] lr: 1.000e-02, eta: 5:11:45, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0820, loss_bbox: 0.7478, loss_centerness: 0.6527, loss: 8.4825 2022-09-29 02:06:34,274 - mmdet - INFO - Epoch [2][450/7390] lr: 1.000e-02, eta: 5:11:34, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0826, loss_bbox: 0.7552, loss_centerness: 0.6521, loss: 8.4898 2022-09-29 02:06:45,754 - mmdet - INFO - Epoch [2][500/7390] lr: 1.000e-02, eta: 5:11:21, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0873, loss_bbox: 0.7462, loss_centerness: 0.6518, loss: 8.4854 2022-09-29 02:06:57,287 - mmdet - INFO - Epoch [2][550/7390] lr: 1.000e-02, eta: 5:11:09, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0905, loss_bbox: 0.7451, loss_centerness: 0.6516, loss: 8.4873 2022-09-29 02:07:08,858 - mmdet - INFO - Epoch [2][600/7390] lr: 1.000e-02, eta: 5:10:58, time: 0.231, data_time: 0.010, memory: 22169, loss_cls: 7.0876, loss_bbox: 0.7463, loss_centerness: 0.6522, loss: 8.4862 2022-09-29 02:07:20,386 - mmdet - INFO - Epoch [2][650/7390] lr: 1.000e-02, eta: 5:10:46, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0844, loss_bbox: 0.7482, loss_centerness: 0.6522, loss: 8.4847 2022-09-29 02:07:31,934 - mmdet - INFO - Epoch [2][700/7390] lr: 1.000e-02, eta: 5:10:34, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0862, loss_bbox: 0.7458, loss_centerness: 0.6520, loss: 8.4840 2022-09-29 02:07:43,575 - mmdet - INFO - Epoch [2][750/7390] lr: 1.000e-02, eta: 5:10:24, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0839, loss_bbox: 0.7454, loss_centerness: 0.6533, loss: 8.4827 2022-09-29 02:07:55,113 - mmdet - INFO - Epoch [2][800/7390] lr: 1.000e-02, eta: 5:10:12, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0793, loss_bbox: 0.7467, loss_centerness: 0.6520, loss: 8.4781 2022-09-29 02:08:06,565 - mmdet - INFO - Epoch [2][850/7390] lr: 1.000e-02, eta: 5:09:59, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0716, loss_bbox: 0.7504, loss_centerness: 0.6509, loss: 8.4730 2022-09-29 02:08:18,143 - mmdet - INFO - Epoch [2][900/7390] lr: 1.000e-02, eta: 5:09:48, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0834, loss_bbox: 0.7465, loss_centerness: 0.6516, loss: 8.4815 2022-09-29 02:08:29,723 - mmdet - INFO - Epoch [2][950/7390] lr: 1.000e-02, eta: 5:09:36, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0823, loss_bbox: 0.7464, loss_centerness: 0.6514, loss: 8.4802 2022-09-29 02:08:41,406 - mmdet - INFO - Epoch [2][1000/7390] lr: 1.000e-02, eta: 5:09:26, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0826, loss_bbox: 0.7428, loss_centerness: 0.6518, loss: 8.4773 2022-09-29 02:08:52,981 - mmdet - INFO - Epoch [2][1050/7390] lr: 1.000e-02, eta: 5:09:15, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0852, loss_bbox: 0.7444, loss_centerness: 0.6528, loss: 8.4824 2022-09-29 02:09:04,511 - mmdet - INFO - Epoch [2][1100/7390] lr: 1.000e-02, eta: 5:09:03, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0667, loss_bbox: 0.7445, loss_centerness: 0.6507, loss: 8.4619 2022-09-29 02:09:15,993 - mmdet - INFO - Epoch [2][1150/7390] lr: 1.000e-02, eta: 5:08:50, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0782, loss_bbox: 0.7402, loss_centerness: 0.6520, loss: 8.4703 2022-09-29 02:09:27,436 - mmdet - INFO - Epoch [2][1200/7390] lr: 1.000e-02, eta: 5:08:38, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0839, loss_bbox: 0.7499, loss_centerness: 0.6512, loss: 8.4850 2022-09-29 02:09:38,977 - mmdet - INFO - Epoch [2][1250/7390] lr: 1.000e-02, eta: 5:08:26, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0813, loss_bbox: 0.7471, loss_centerness: 0.6515, loss: 8.4799 2022-09-29 02:09:50,721 - mmdet - INFO - Epoch [2][1300/7390] lr: 1.000e-02, eta: 5:08:16, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0888, loss_bbox: 0.7443, loss_centerness: 0.6521, loss: 8.4853 2022-09-29 02:10:02,443 - mmdet - INFO - Epoch [2][1350/7390] lr: 1.000e-02, eta: 5:08:06, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0805, loss_bbox: 0.7447, loss_centerness: 0.6519, loss: 8.4771 2022-09-29 02:10:14,524 - mmdet - INFO - Epoch [2][1400/7390] lr: 1.000e-02, eta: 5:07:59, time: 0.242, data_time: 0.009, memory: 22169, loss_cls: 7.0793, loss_bbox: 0.7435, loss_centerness: 0.6519, loss: 8.4747 2022-09-29 02:10:25,986 - mmdet - INFO - Epoch [2][1450/7390] lr: 1.000e-02, eta: 5:07:46, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0807, loss_bbox: 0.7479, loss_centerness: 0.6517, loss: 8.4802 2022-09-29 02:10:37,501 - mmdet - INFO - Epoch [2][1500/7390] lr: 1.000e-02, eta: 5:07:35, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0780, loss_bbox: 0.7460, loss_centerness: 0.6517, loss: 8.4757 2022-09-29 02:10:49,026 - mmdet - INFO - Epoch [2][1550/7390] lr: 1.000e-02, eta: 5:07:23, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0630, loss_bbox: 0.7418, loss_centerness: 0.6503, loss: 8.4550 2022-09-29 02:11:00,725 - mmdet - INFO - Epoch [2][1600/7390] lr: 1.000e-02, eta: 5:07:12, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0793, loss_bbox: 0.7450, loss_centerness: 0.6521, loss: 8.4763 2022-09-29 02:11:12,279 - mmdet - INFO - Epoch [2][1650/7390] lr: 1.000e-02, eta: 5:07:01, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0731, loss_bbox: 0.7465, loss_centerness: 0.6524, loss: 8.4720 2022-09-29 02:11:23,864 - mmdet - INFO - Epoch [2][1700/7390] lr: 1.000e-02, eta: 5:06:49, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0796, loss_bbox: 0.7416, loss_centerness: 0.6520, loss: 8.4733 2022-09-29 02:11:35,332 - mmdet - INFO - Epoch [2][1750/7390] lr: 1.000e-02, eta: 5:06:37, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0834, loss_bbox: 0.7420, loss_centerness: 0.6529, loss: 8.4782 2022-09-29 02:11:46,870 - mmdet - INFO - Epoch [2][1800/7390] lr: 1.000e-02, eta: 5:06:25, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0782, loss_bbox: 0.7464, loss_centerness: 0.6516, loss: 8.4762 2022-09-29 02:11:58,262 - mmdet - INFO - Epoch [2][1850/7390] lr: 1.000e-02, eta: 5:06:12, time: 0.228, data_time: 0.009, memory: 22169, loss_cls: 7.0739, loss_bbox: 0.7421, loss_centerness: 0.6516, loss: 8.4676 2022-09-29 02:12:09,875 - mmdet - INFO - Epoch [2][1900/7390] lr: 1.000e-02, eta: 5:06:01, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0700, loss_bbox: 0.7441, loss_centerness: 0.6521, loss: 8.4662 2022-09-29 02:12:21,326 - mmdet - INFO - Epoch [2][1950/7390] lr: 1.000e-02, eta: 5:05:48, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0756, loss_bbox: 0.7494, loss_centerness: 0.6516, loss: 8.4766 2022-09-29 02:12:32,965 - mmdet - INFO - Epoch [2][2000/7390] lr: 1.000e-02, eta: 5:05:37, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0677, loss_bbox: 0.7488, loss_centerness: 0.6512, loss: 8.4676 2022-09-29 02:12:44,466 - mmdet - INFO - Epoch [2][2050/7390] lr: 1.000e-02, eta: 5:05:25, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0729, loss_bbox: 0.7493, loss_centerness: 0.6518, loss: 8.4740 2022-09-29 02:12:55,933 - mmdet - INFO - Epoch [2][2100/7390] lr: 1.000e-02, eta: 5:05:13, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0880, loss_bbox: 0.7466, loss_centerness: 0.6519, loss: 8.4865 2022-09-29 02:13:07,323 - mmdet - INFO - Epoch [2][2150/7390] lr: 1.000e-02, eta: 5:05:00, time: 0.227, data_time: 0.009, memory: 22169, loss_cls: 7.0728, loss_bbox: 0.7440, loss_centerness: 0.6512, loss: 8.4680 2022-09-29 02:13:18,743 - mmdet - INFO - Epoch [2][2200/7390] lr: 1.000e-02, eta: 5:04:47, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0816, loss_bbox: 0.7449, loss_centerness: 0.6514, loss: 8.4779 2022-09-29 02:13:30,326 - mmdet - INFO - Epoch [2][2250/7390] lr: 1.000e-02, eta: 5:04:36, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0796, loss_bbox: 0.7472, loss_centerness: 0.6513, loss: 8.4781 2022-09-29 02:13:41,859 - mmdet - INFO - Epoch [2][2300/7390] lr: 1.000e-02, eta: 5:04:24, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0830, loss_bbox: 0.7437, loss_centerness: 0.6517, loss: 8.4784 2022-09-29 02:13:53,438 - mmdet - INFO - Epoch [2][2350/7390] lr: 1.000e-02, eta: 5:04:13, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0797, loss_bbox: 0.7432, loss_centerness: 0.6522, loss: 8.4751 2022-09-29 02:14:04,976 - mmdet - INFO - Epoch [2][2400/7390] lr: 1.000e-02, eta: 5:04:01, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0718, loss_bbox: 0.7439, loss_centerness: 0.6514, loss: 8.4671 2022-09-29 02:14:16,570 - mmdet - INFO - Epoch [2][2450/7390] lr: 1.000e-02, eta: 5:03:49, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0783, loss_bbox: 0.7421, loss_centerness: 0.6521, loss: 8.4725 2022-09-29 02:14:28,093 - mmdet - INFO - Epoch [2][2500/7390] lr: 1.000e-02, eta: 5:03:38, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0805, loss_bbox: 0.7445, loss_centerness: 0.6517, loss: 8.4767 2022-09-29 02:14:39,568 - mmdet - INFO - Epoch [2][2550/7390] lr: 1.000e-02, eta: 5:03:25, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0748, loss_bbox: 0.7460, loss_centerness: 0.6509, loss: 8.4717 2022-09-29 02:14:51,157 - mmdet - INFO - Epoch [2][2600/7390] lr: 1.000e-02, eta: 5:03:14, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0689, loss_bbox: 0.7447, loss_centerness: 0.6511, loss: 8.4647 2022-09-29 02:15:02,775 - mmdet - INFO - Epoch [2][2650/7390] lr: 1.000e-02, eta: 5:03:03, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0749, loss_bbox: 0.7404, loss_centerness: 0.6520, loss: 8.4672 2022-09-29 02:15:14,432 - mmdet - INFO - Epoch [2][2700/7390] lr: 1.000e-02, eta: 5:02:52, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0751, loss_bbox: 0.7419, loss_centerness: 0.6519, loss: 8.4689 2022-09-29 02:15:25,793 - mmdet - INFO - Epoch [2][2750/7390] lr: 1.000e-02, eta: 5:02:39, time: 0.227, data_time: 0.009, memory: 22169, loss_cls: 7.0773, loss_bbox: 0.7436, loss_centerness: 0.6529, loss: 8.4738 2022-09-29 02:15:37,426 - mmdet - INFO - Epoch [2][2800/7390] lr: 1.000e-02, eta: 5:02:28, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0810, loss_bbox: 0.7407, loss_centerness: 0.6522, loss: 8.4739 2022-09-29 02:15:49,055 - mmdet - INFO - Epoch [2][2850/7390] lr: 1.000e-02, eta: 5:02:17, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0806, loss_bbox: 0.7462, loss_centerness: 0.6524, loss: 8.4792 2022-09-29 02:16:00,645 - mmdet - INFO - Epoch [2][2900/7390] lr: 1.000e-02, eta: 5:02:06, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0813, loss_bbox: 0.7405, loss_centerness: 0.6515, loss: 8.4734 2022-09-29 02:16:12,186 - mmdet - INFO - Epoch [2][2950/7390] lr: 1.000e-02, eta: 5:01:54, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0794, loss_bbox: 0.7428, loss_centerness: 0.6524, loss: 8.4746 2022-09-29 02:16:23,648 - mmdet - INFO - Epoch [2][3000/7390] lr: 1.000e-02, eta: 5:01:41, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0687, loss_bbox: 0.7427, loss_centerness: 0.6520, loss: 8.4634 2022-09-29 02:16:35,119 - mmdet - INFO - Epoch [2][3050/7390] lr: 1.000e-02, eta: 5:01:29, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0561, loss_bbox: 0.7426, loss_centerness: 0.6502, loss: 8.4488 2022-09-29 02:16:46,588 - mmdet - INFO - Epoch [2][3100/7390] lr: 1.000e-02, eta: 5:01:17, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0720, loss_bbox: 0.7448, loss_centerness: 0.6518, loss: 8.4686 2022-09-29 02:16:58,282 - mmdet - INFO - Epoch [2][3150/7390] lr: 1.000e-02, eta: 5:01:07, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0756, loss_bbox: 0.7405, loss_centerness: 0.6519, loss: 8.4679 2022-09-29 02:17:09,929 - mmdet - INFO - Epoch [2][3200/7390] lr: 1.000e-02, eta: 5:00:56, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0759, loss_bbox: 0.7456, loss_centerness: 0.6510, loss: 8.4725 2022-09-29 02:17:21,529 - mmdet - INFO - Epoch [2][3250/7390] lr: 1.000e-02, eta: 5:00:44, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0744, loss_bbox: 0.7434, loss_centerness: 0.6506, loss: 8.4685 2022-09-29 02:17:33,420 - mmdet - INFO - Epoch [2][3300/7390] lr: 1.000e-02, eta: 5:00:35, time: 0.238, data_time: 0.009, memory: 22169, loss_cls: 7.0786, loss_bbox: 0.7418, loss_centerness: 0.6515, loss: 8.4720 2022-09-29 02:17:47,359 - mmdet - INFO - Epoch [2][3350/7390] lr: 1.000e-02, eta: 5:00:41, time: 0.278, data_time: 0.009, memory: 22169, loss_cls: 7.0772, loss_bbox: 0.7462, loss_centerness: 0.6521, loss: 8.4755 2022-09-29 02:17:58,892 - mmdet - INFO - Epoch [2][3400/7390] lr: 1.000e-02, eta: 5:00:29, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0632, loss_bbox: 0.7470, loss_centerness: 0.6517, loss: 8.4618 2022-09-29 02:18:10,525 - mmdet - INFO - Epoch [2][3450/7390] lr: 1.000e-02, eta: 5:00:18, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0734, loss_bbox: 0.7430, loss_centerness: 0.6521, loss: 8.4685 2022-09-29 02:18:22,015 - mmdet - INFO - Epoch [2][3500/7390] lr: 1.000e-02, eta: 5:00:06, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0691, loss_bbox: 0.7453, loss_centerness: 0.6514, loss: 8.4658 2022-09-29 02:18:33,568 - mmdet - INFO - Epoch [2][3550/7390] lr: 1.000e-02, eta: 4:59:54, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0684, loss_bbox: 0.7441, loss_centerness: 0.6517, loss: 8.4642 2022-09-29 02:18:45,192 - mmdet - INFO - Epoch [2][3600/7390] lr: 1.000e-02, eta: 4:59:43, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0730, loss_bbox: 0.7511, loss_centerness: 0.6515, loss: 8.4756 2022-09-29 02:18:56,761 - mmdet - INFO - Epoch [2][3650/7390] lr: 1.000e-02, eta: 4:59:31, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0707, loss_bbox: 0.7408, loss_centerness: 0.6517, loss: 8.4631 2022-09-29 02:19:08,427 - mmdet - INFO - Epoch [2][3700/7390] lr: 1.000e-02, eta: 4:59:20, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0746, loss_bbox: 0.7441, loss_centerness: 0.6516, loss: 8.4703 2022-09-29 02:19:20,144 - mmdet - INFO - Epoch [2][3750/7390] lr: 1.000e-02, eta: 4:59:09, time: 0.234, data_time: 0.008, memory: 22169, loss_cls: 7.0660, loss_bbox: 0.7453, loss_centerness: 0.6519, loss: 8.4632 2022-09-29 02:19:31,572 - mmdet - INFO - Epoch [2][3800/7390] lr: 1.000e-02, eta: 4:58:57, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0735, loss_bbox: 0.7442, loss_centerness: 0.6520, loss: 8.4698 2022-09-29 02:19:43,097 - mmdet - INFO - Epoch [2][3850/7390] lr: 1.000e-02, eta: 4:58:45, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0691, loss_bbox: 0.7424, loss_centerness: 0.6514, loss: 8.4629 2022-09-29 02:19:54,591 - mmdet - INFO - Epoch [2][3900/7390] lr: 1.000e-02, eta: 4:58:33, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0697, loss_bbox: 0.7482, loss_centerness: 0.6522, loss: 8.4702 2022-09-29 02:20:06,037 - mmdet - INFO - Epoch [2][3950/7390] lr: 1.000e-02, eta: 4:58:21, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0712, loss_bbox: 0.7425, loss_centerness: 0.6518, loss: 8.4656 2022-09-29 02:20:17,544 - mmdet - INFO - Epoch [2][4000/7390] lr: 1.000e-02, eta: 4:58:09, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0698, loss_bbox: 0.7389, loss_centerness: 0.6514, loss: 8.4601 2022-09-29 02:20:29,168 - mmdet - INFO - Epoch [2][4050/7390] lr: 1.000e-02, eta: 4:57:57, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0731, loss_bbox: 0.7466, loss_centerness: 0.6515, loss: 8.4712 2022-09-29 02:20:40,630 - mmdet - INFO - Epoch [2][4100/7390] lr: 1.000e-02, eta: 4:57:45, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0685, loss_bbox: 0.7444, loss_centerness: 0.6519, loss: 8.4648 2022-09-29 02:20:52,002 - mmdet - INFO - Epoch [2][4150/7390] lr: 1.000e-02, eta: 4:57:32, time: 0.227, data_time: 0.008, memory: 22169, loss_cls: 7.0675, loss_bbox: 0.7441, loss_centerness: 0.6524, loss: 8.4640 2022-09-29 02:21:03,520 - mmdet - INFO - Epoch [2][4200/7390] lr: 1.000e-02, eta: 4:57:20, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0714, loss_bbox: 0.7436, loss_centerness: 0.6514, loss: 8.4665 2022-09-29 02:21:15,100 - mmdet - INFO - Epoch [2][4250/7390] lr: 1.000e-02, eta: 4:57:09, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0641, loss_bbox: 0.7436, loss_centerness: 0.6515, loss: 8.4591 2022-09-29 02:21:26,563 - mmdet - INFO - Epoch [2][4300/7390] lr: 1.000e-02, eta: 4:56:56, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0675, loss_bbox: 0.7436, loss_centerness: 0.6522, loss: 8.4633 2022-09-29 02:21:38,098 - mmdet - INFO - Epoch [2][4350/7390] lr: 1.000e-02, eta: 4:56:45, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0732, loss_bbox: 0.7420, loss_centerness: 0.6511, loss: 8.4663 2022-09-29 02:21:49,580 - mmdet - INFO - Epoch [2][4400/7390] lr: 1.000e-02, eta: 4:56:32, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0629, loss_bbox: 0.7455, loss_centerness: 0.6522, loss: 8.4606 2022-09-29 02:22:01,008 - mmdet - INFO - Epoch [2][4450/7390] lr: 1.000e-02, eta: 4:56:20, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0793, loss_bbox: 0.7415, loss_centerness: 0.6521, loss: 8.4729 2022-09-29 02:22:12,691 - mmdet - INFO - Epoch [2][4500/7390] lr: 1.000e-02, eta: 4:56:09, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0676, loss_bbox: 0.7418, loss_centerness: 0.6519, loss: 8.4613 2022-09-29 02:22:24,159 - mmdet - INFO - Epoch [2][4550/7390] lr: 1.000e-02, eta: 4:55:57, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0710, loss_bbox: 0.7409, loss_centerness: 0.6509, loss: 8.4628 2022-09-29 02:22:35,744 - mmdet - INFO - Epoch [2][4600/7390] lr: 1.000e-02, eta: 4:55:45, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0614, loss_bbox: 0.7387, loss_centerness: 0.6515, loss: 8.4516 2022-09-29 02:22:47,259 - mmdet - INFO - Epoch [2][4650/7390] lr: 1.000e-02, eta: 4:55:33, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0628, loss_bbox: 0.7418, loss_centerness: 0.6516, loss: 8.4561 2022-09-29 02:22:58,740 - mmdet - INFO - Epoch [2][4700/7390] lr: 1.000e-02, eta: 4:55:21, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0655, loss_bbox: 0.7431, loss_centerness: 0.6520, loss: 8.4606 2022-09-29 02:23:10,492 - mmdet - INFO - Epoch [2][4750/7390] lr: 1.000e-02, eta: 4:55:11, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0707, loss_bbox: 0.7427, loss_centerness: 0.6519, loss: 8.4652 2022-09-29 02:23:21,950 - mmdet - INFO - Epoch [2][4800/7390] lr: 1.000e-02, eta: 4:54:59, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0651, loss_bbox: 0.7403, loss_centerness: 0.6513, loss: 8.4568 2022-09-29 02:23:33,404 - mmdet - INFO - Epoch [2][4850/7390] lr: 1.000e-02, eta: 4:54:46, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0666, loss_bbox: 0.7411, loss_centerness: 0.6513, loss: 8.4590 2022-09-29 02:23:45,097 - mmdet - INFO - Epoch [2][4900/7390] lr: 1.000e-02, eta: 4:54:36, time: 0.234, data_time: 0.008, memory: 22169, loss_cls: 7.0693, loss_bbox: 0.7437, loss_centerness: 0.6513, loss: 8.4643 2022-09-29 02:23:56,709 - mmdet - INFO - Epoch [2][4950/7390] lr: 1.000e-02, eta: 4:54:24, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0718, loss_bbox: 0.7418, loss_centerness: 0.6513, loss: 8.4649 2022-09-29 02:24:08,178 - mmdet - INFO - Epoch [2][5000/7390] lr: 1.000e-02, eta: 4:54:12, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0667, loss_bbox: 0.7456, loss_centerness: 0.6516, loss: 8.4639 2022-09-29 02:24:19,649 - mmdet - INFO - Epoch [2][5050/7390] lr: 1.000e-02, eta: 4:54:00, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0680, loss_bbox: 0.7414, loss_centerness: 0.6513, loss: 8.4607 2022-09-29 02:24:31,034 - mmdet - INFO - Epoch [2][5100/7390] lr: 1.000e-02, eta: 4:53:47, time: 0.228, data_time: 0.009, memory: 22169, loss_cls: 7.0744, loss_bbox: 0.7381, loss_centerness: 0.6516, loss: 8.4642 2022-09-29 02:24:42,504 - mmdet - INFO - Epoch [2][5150/7390] lr: 1.000e-02, eta: 4:53:35, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0646, loss_bbox: 0.7418, loss_centerness: 0.6514, loss: 8.4578 2022-09-29 02:24:54,211 - mmdet - INFO - Epoch [2][5200/7390] lr: 1.000e-02, eta: 4:53:24, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0690, loss_bbox: 0.7497, loss_centerness: 0.6522, loss: 8.4709 2022-09-29 02:25:05,711 - mmdet - INFO - Epoch [2][5250/7390] lr: 1.000e-02, eta: 4:53:12, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0723, loss_bbox: 0.7427, loss_centerness: 0.6518, loss: 8.4669 2022-09-29 02:25:17,185 - mmdet - INFO - Epoch [2][5300/7390] lr: 1.000e-02, eta: 4:53:00, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0809, loss_bbox: 0.7423, loss_centerness: 0.6522, loss: 8.4754 2022-09-29 02:25:28,681 - mmdet - INFO - Epoch [2][5350/7390] lr: 1.000e-02, eta: 4:52:48, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0620, loss_bbox: 0.7414, loss_centerness: 0.6522, loss: 8.4555 2022-09-29 02:25:40,316 - mmdet - INFO - Epoch [2][5400/7390] lr: 1.000e-02, eta: 4:52:37, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0660, loss_bbox: 0.7416, loss_centerness: 0.6516, loss: 8.4592 2022-09-29 02:25:51,726 - mmdet - INFO - Epoch [2][5450/7390] lr: 1.000e-02, eta: 4:52:24, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.0664, loss_bbox: 0.7451, loss_centerness: 0.6518, loss: 8.4634 2022-09-29 02:26:03,215 - mmdet - INFO - Epoch [2][5500/7390] lr: 1.000e-02, eta: 4:52:12, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0715, loss_bbox: 0.7419, loss_centerness: 0.6517, loss: 8.4651 2022-09-29 02:26:14,856 - mmdet - INFO - Epoch [2][5550/7390] lr: 1.000e-02, eta: 4:52:01, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0708, loss_bbox: 0.7456, loss_centerness: 0.6521, loss: 8.4685 2022-09-29 02:26:26,319 - mmdet - INFO - Epoch [2][5600/7390] lr: 1.000e-02, eta: 4:51:49, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0695, loss_bbox: 0.7397, loss_centerness: 0.6510, loss: 8.4601 2022-09-29 02:26:37,888 - mmdet - INFO - Epoch [2][5650/7390] lr: 1.000e-02, eta: 4:51:38, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0613, loss_bbox: 0.7398, loss_centerness: 0.6520, loss: 8.4531 2022-09-29 02:26:49,336 - mmdet - INFO - Epoch [2][5700/7390] lr: 1.000e-02, eta: 4:51:25, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0691, loss_bbox: 0.7388, loss_centerness: 0.6513, loss: 8.4591 2022-09-29 02:27:00,809 - mmdet - INFO - Epoch [2][5750/7390] lr: 1.000e-02, eta: 4:51:13, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0706, loss_bbox: 0.7394, loss_centerness: 0.6514, loss: 8.4614 2022-09-29 02:27:12,384 - mmdet - INFO - Epoch [2][5800/7390] lr: 1.000e-02, eta: 4:51:02, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0681, loss_bbox: 0.7370, loss_centerness: 0.6520, loss: 8.4572 2022-09-29 02:27:23,772 - mmdet - INFO - Epoch [2][5850/7390] lr: 1.000e-02, eta: 4:50:49, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.0665, loss_bbox: 0.7436, loss_centerness: 0.6528, loss: 8.4629 2022-09-29 02:27:35,436 - mmdet - INFO - Epoch [2][5900/7390] lr: 1.000e-02, eta: 4:50:38, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0739, loss_bbox: 0.7440, loss_centerness: 0.6517, loss: 8.4696 2022-09-29 02:27:47,028 - mmdet - INFO - Epoch [2][5950/7390] lr: 1.000e-02, eta: 4:50:27, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0644, loss_bbox: 0.7374, loss_centerness: 0.6519, loss: 8.4538 2022-09-29 02:27:58,648 - mmdet - INFO - Epoch [2][6000/7390] lr: 1.000e-02, eta: 4:50:15, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0674, loss_bbox: 0.7382, loss_centerness: 0.6517, loss: 8.4573 2022-09-29 02:28:10,123 - mmdet - INFO - Epoch [2][6050/7390] lr: 1.000e-02, eta: 4:50:03, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0575, loss_bbox: 0.7414, loss_centerness: 0.6517, loss: 8.4506 2022-09-29 02:28:21,740 - mmdet - INFO - Epoch [2][6100/7390] lr: 1.000e-02, eta: 4:49:52, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0697, loss_bbox: 0.7427, loss_centerness: 0.6517, loss: 8.4642 2022-09-29 02:28:33,413 - mmdet - INFO - Epoch [2][6150/7390] lr: 1.000e-02, eta: 4:49:41, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.0605, loss_bbox: 0.7395, loss_centerness: 0.6521, loss: 8.4521 2022-09-29 02:28:44,941 - mmdet - INFO - Epoch [2][6200/7390] lr: 1.000e-02, eta: 4:49:29, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0621, loss_bbox: 0.7418, loss_centerness: 0.6510, loss: 8.4549 2022-09-29 02:28:56,476 - mmdet - INFO - Epoch [2][6250/7390] lr: 1.000e-02, eta: 4:49:18, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0664, loss_bbox: 0.7427, loss_centerness: 0.6514, loss: 8.4605 2022-09-29 02:29:08,162 - mmdet - INFO - Epoch [2][6300/7390] lr: 1.000e-02, eta: 4:49:07, time: 0.234, data_time: 0.008, memory: 22169, loss_cls: 7.0639, loss_bbox: 0.7382, loss_centerness: 0.6513, loss: 8.4534 2022-09-29 02:29:19,579 - mmdet - INFO - Epoch [2][6350/7390] lr: 1.000e-02, eta: 4:48:54, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.0670, loss_bbox: 0.7398, loss_centerness: 0.6514, loss: 8.4582 2022-09-29 02:29:31,167 - mmdet - INFO - Epoch [2][6400/7390] lr: 1.000e-02, eta: 4:48:43, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0723, loss_bbox: 0.7397, loss_centerness: 0.6518, loss: 8.4638 2022-09-29 02:29:42,691 - mmdet - INFO - Epoch [2][6450/7390] lr: 1.000e-02, eta: 4:48:31, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0643, loss_bbox: 0.7409, loss_centerness: 0.6520, loss: 8.4572 2022-09-29 02:29:54,296 - mmdet - INFO - Epoch [2][6500/7390] lr: 1.000e-02, eta: 4:48:20, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0599, loss_bbox: 0.7415, loss_centerness: 0.6514, loss: 8.4528 2022-09-29 02:30:06,014 - mmdet - INFO - Epoch [2][6550/7390] lr: 1.000e-02, eta: 4:48:09, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0717, loss_bbox: 0.7365, loss_centerness: 0.6511, loss: 8.4593 2022-09-29 02:30:17,535 - mmdet - INFO - Epoch [2][6600/7390] lr: 1.000e-02, eta: 4:47:57, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0707, loss_bbox: 0.7422, loss_centerness: 0.6515, loss: 8.4644 2022-09-29 02:30:29,134 - mmdet - INFO - Epoch [2][6650/7390] lr: 1.000e-02, eta: 4:47:46, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0639, loss_bbox: 0.7428, loss_centerness: 0.6512, loss: 8.4579 2022-09-29 02:30:40,660 - mmdet - INFO - Epoch [2][6700/7390] lr: 1.000e-02, eta: 4:47:34, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0616, loss_bbox: 0.7387, loss_centerness: 0.6517, loss: 8.4519 2022-09-29 02:30:52,609 - mmdet - INFO - Epoch [2][6750/7390] lr: 1.000e-02, eta: 4:47:24, time: 0.239, data_time: 0.009, memory: 22169, loss_cls: 7.0659, loss_bbox: 0.7415, loss_centerness: 0.6512, loss: 8.4585 2022-09-29 02:31:04,383 - mmdet - INFO - Epoch [2][6800/7390] lr: 1.000e-02, eta: 4:47:14, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0659, loss_bbox: 0.7388, loss_centerness: 0.6514, loss: 8.4561 2022-09-29 02:31:16,239 - mmdet - INFO - Epoch [2][6850/7390] lr: 1.000e-02, eta: 4:47:04, time: 0.238, data_time: 0.009, memory: 22169, loss_cls: 7.0618, loss_bbox: 0.7459, loss_centerness: 0.6520, loss: 8.4597 2022-09-29 02:31:27,848 - mmdet - INFO - Epoch [2][6900/7390] lr: 1.000e-02, eta: 4:46:52, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0695, loss_bbox: 0.7403, loss_centerness: 0.6511, loss: 8.4609 2022-09-29 02:31:39,602 - mmdet - INFO - Epoch [2][6950/7390] lr: 1.000e-02, eta: 4:46:42, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0704, loss_bbox: 0.7431, loss_centerness: 0.6522, loss: 8.4657 2022-09-29 02:31:51,269 - mmdet - INFO - Epoch [2][7000/7390] lr: 1.000e-02, eta: 4:46:31, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0710, loss_bbox: 0.7392, loss_centerness: 0.6517, loss: 8.4619 2022-09-29 02:32:02,864 - mmdet - INFO - Epoch [2][7050/7390] lr: 1.000e-02, eta: 4:46:19, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0683, loss_bbox: 0.7400, loss_centerness: 0.6512, loss: 8.4596 2022-09-29 02:32:14,613 - mmdet - INFO - Epoch [2][7100/7390] lr: 1.000e-02, eta: 4:46:09, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0629, loss_bbox: 0.7441, loss_centerness: 0.6515, loss: 8.4586 2022-09-29 02:32:26,270 - mmdet - INFO - Epoch [2][7150/7390] lr: 1.000e-02, eta: 4:45:58, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.0610, loss_bbox: 0.7415, loss_centerness: 0.6516, loss: 8.4541 2022-09-29 02:32:38,102 - mmdet - INFO - Epoch [2][7200/7390] lr: 1.000e-02, eta: 4:45:47, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0548, loss_bbox: 0.7405, loss_centerness: 0.6517, loss: 8.4470 2022-09-29 02:32:49,815 - mmdet - INFO - Epoch [2][7250/7390] lr: 1.000e-02, eta: 4:45:36, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0673, loss_bbox: 0.7404, loss_centerness: 0.6518, loss: 8.4595 2022-09-29 02:33:01,396 - mmdet - INFO - Epoch [2][7300/7390] lr: 1.000e-02, eta: 4:45:25, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0598, loss_bbox: 0.7394, loss_centerness: 0.6515, loss: 8.4507 2022-09-29 02:33:12,933 - mmdet - INFO - Epoch [2][7350/7390] lr: 1.000e-02, eta: 4:45:13, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0674, loss_bbox: 0.7406, loss_centerness: 0.6516, loss: 8.4596 2022-09-29 02:33:22,299 - mmdet - INFO - Saving checkpoint at 2 epochs 2022-09-29 02:33:38,104 - mmdet - INFO - Epoch [3][50/7390] lr: 1.000e-02, eta: 4:44:23, time: 0.298, data_time: 0.070, memory: 22169, loss_cls: 7.0652, loss_bbox: 0.7384, loss_centerness: 0.6516, loss: 8.4552 2022-09-29 02:33:49,703 - mmdet - INFO - Epoch [3][100/7390] lr: 1.000e-02, eta: 4:44:11, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0650, loss_bbox: 0.7401, loss_centerness: 0.6514, loss: 8.4565 2022-09-29 02:34:01,417 - mmdet - INFO - Epoch [3][150/7390] lr: 1.000e-02, eta: 4:44:01, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0580, loss_bbox: 0.7420, loss_centerness: 0.6512, loss: 8.4512 2022-09-29 02:34:13,259 - mmdet - INFO - Epoch [3][200/7390] lr: 1.000e-02, eta: 4:43:51, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0673, loss_bbox: 0.7418, loss_centerness: 0.6515, loss: 8.4606 2022-09-29 02:34:24,830 - mmdet - INFO - Epoch [3][250/7390] lr: 1.000e-02, eta: 4:43:39, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0648, loss_bbox: 0.7421, loss_centerness: 0.6514, loss: 8.4582 2022-09-29 02:34:36,498 - mmdet - INFO - Epoch [3][300/7390] lr: 1.000e-02, eta: 4:43:28, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0615, loss_bbox: 0.7427, loss_centerness: 0.6514, loss: 8.4557 2022-09-29 02:34:48,070 - mmdet - INFO - Epoch [3][350/7390] lr: 1.000e-02, eta: 4:43:17, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0616, loss_bbox: 0.7411, loss_centerness: 0.6509, loss: 8.4535 2022-09-29 02:34:59,879 - mmdet - INFO - Epoch [3][400/7390] lr: 1.000e-02, eta: 4:43:06, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0702, loss_bbox: 0.7397, loss_centerness: 0.6509, loss: 8.4609 2022-09-29 02:35:11,757 - mmdet - INFO - Epoch [3][450/7390] lr: 1.000e-02, eta: 4:42:56, time: 0.238, data_time: 0.009, memory: 22169, loss_cls: 7.0618, loss_bbox: 0.7421, loss_centerness: 0.6520, loss: 8.4559 2022-09-29 02:35:23,425 - mmdet - INFO - Epoch [3][500/7390] lr: 1.000e-02, eta: 4:42:45, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0656, loss_bbox: 0.7390, loss_centerness: 0.6511, loss: 8.4557 2022-09-29 02:35:35,207 - mmdet - INFO - Epoch [3][550/7390] lr: 1.000e-02, eta: 4:42:35, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0627, loss_bbox: 0.7392, loss_centerness: 0.6514, loss: 8.4533 2022-09-29 02:35:46,727 - mmdet - INFO - Epoch [3][600/7390] lr: 1.000e-02, eta: 4:42:23, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0629, loss_bbox: 0.7399, loss_centerness: 0.6514, loss: 8.4542 2022-09-29 02:35:58,410 - mmdet - INFO - Epoch [3][650/7390] lr: 1.000e-02, eta: 4:42:12, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0702, loss_bbox: 0.7411, loss_centerness: 0.6515, loss: 8.4628 2022-09-29 02:36:10,147 - mmdet - INFO - Epoch [3][700/7390] lr: 1.000e-02, eta: 4:42:01, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0577, loss_bbox: 0.7394, loss_centerness: 0.6509, loss: 8.4481 2022-09-29 02:36:21,966 - mmdet - INFO - Epoch [3][750/7390] lr: 1.000e-02, eta: 4:41:51, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0620, loss_bbox: 0.7460, loss_centerness: 0.6510, loss: 8.4589 2022-09-29 02:36:33,741 - mmdet - INFO - Epoch [3][800/7390] lr: 1.000e-02, eta: 4:41:40, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0620, loss_bbox: 0.7381, loss_centerness: 0.6512, loss: 8.4514 2022-09-29 02:36:45,467 - mmdet - INFO - Epoch [3][850/7390] lr: 1.000e-02, eta: 4:41:30, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0633, loss_bbox: 0.7393, loss_centerness: 0.6509, loss: 8.4534 2022-09-29 02:36:57,084 - mmdet - INFO - Epoch [3][900/7390] lr: 1.000e-02, eta: 4:41:18, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0495, loss_bbox: 0.7421, loss_centerness: 0.6515, loss: 8.4431 2022-09-29 02:37:08,621 - mmdet - INFO - Epoch [3][950/7390] lr: 1.000e-02, eta: 4:41:07, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0671, loss_bbox: 0.7392, loss_centerness: 0.6513, loss: 8.4576 2022-09-29 02:37:20,120 - mmdet - INFO - Epoch [3][1000/7390] lr: 1.000e-02, eta: 4:40:55, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0417, loss_bbox: 0.7397, loss_centerness: 0.6500, loss: 8.4314 2022-09-29 02:37:32,034 - mmdet - INFO - Epoch [3][1050/7390] lr: 1.000e-02, eta: 4:40:45, time: 0.238, data_time: 0.009, memory: 22169, loss_cls: 7.0568, loss_bbox: 0.7401, loss_centerness: 0.6513, loss: 8.4481 2022-09-29 02:37:43,767 - mmdet - INFO - Epoch [3][1100/7390] lr: 1.000e-02, eta: 4:40:34, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0611, loss_bbox: 0.7404, loss_centerness: 0.6515, loss: 8.4531 2022-09-29 02:37:55,452 - mmdet - INFO - Epoch [3][1150/7390] lr: 1.000e-02, eta: 4:40:23, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0690, loss_bbox: 0.7414, loss_centerness: 0.6514, loss: 8.4617 2022-09-29 02:38:07,071 - mmdet - INFO - Epoch [3][1200/7390] lr: 1.000e-02, eta: 4:40:12, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0623, loss_bbox: 0.7394, loss_centerness: 0.6509, loss: 8.4527 2022-09-29 02:38:18,836 - mmdet - INFO - Epoch [3][1250/7390] lr: 1.000e-02, eta: 4:40:01, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0690, loss_bbox: 0.7426, loss_centerness: 0.6516, loss: 8.4632 2022-09-29 02:38:30,404 - mmdet - INFO - Epoch [3][1300/7390] lr: 1.000e-02, eta: 4:39:50, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0655, loss_bbox: 0.7390, loss_centerness: 0.6510, loss: 8.4555 2022-09-29 02:38:42,196 - mmdet - INFO - Epoch [3][1350/7390] lr: 1.000e-02, eta: 4:39:39, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0641, loss_bbox: 0.7380, loss_centerness: 0.6515, loss: 8.4535 2022-09-29 02:38:53,851 - mmdet - INFO - Epoch [3][1400/7390] lr: 1.000e-02, eta: 4:39:28, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0645, loss_bbox: 0.7392, loss_centerness: 0.6514, loss: 8.4551 2022-09-29 02:39:05,540 - mmdet - INFO - Epoch [3][1450/7390] lr: 1.000e-02, eta: 4:39:17, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.0640, loss_bbox: 0.7401, loss_centerness: 0.6522, loss: 8.4563 2022-09-29 02:39:17,185 - mmdet - INFO - Epoch [3][1500/7390] lr: 1.000e-02, eta: 4:39:06, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0606, loss_bbox: 0.7431, loss_centerness: 0.6517, loss: 8.4553 2022-09-29 02:39:28,944 - mmdet - INFO - Epoch [3][1550/7390] lr: 1.000e-02, eta: 4:38:55, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0710, loss_bbox: 0.7426, loss_centerness: 0.6510, loss: 8.4646 2022-09-29 02:39:40,736 - mmdet - INFO - Epoch [3][1600/7390] lr: 1.000e-02, eta: 4:38:44, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0649, loss_bbox: 0.7421, loss_centerness: 0.6516, loss: 8.4586 2022-09-29 02:39:52,437 - mmdet - INFO - Epoch [3][1650/7390] lr: 1.000e-02, eta: 4:38:34, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0566, loss_bbox: 0.7367, loss_centerness: 0.6514, loss: 8.4447 2022-09-29 02:40:04,306 - mmdet - INFO - Epoch [3][1700/7390] lr: 1.000e-02, eta: 4:38:23, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0593, loss_bbox: 0.7401, loss_centerness: 0.6509, loss: 8.4504 2022-09-29 02:40:16,038 - mmdet - INFO - Epoch [3][1750/7390] lr: 1.000e-02, eta: 4:38:12, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0568, loss_bbox: 0.7369, loss_centerness: 0.6518, loss: 8.4456 2022-09-29 02:40:27,816 - mmdet - INFO - Epoch [3][1800/7390] lr: 1.000e-02, eta: 4:38:02, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0524, loss_bbox: 0.7339, loss_centerness: 0.6507, loss: 8.4371 2022-09-29 02:40:42,109 - mmdet - INFO - Epoch [3][1850/7390] lr: 1.000e-02, eta: 4:38:02, time: 0.286, data_time: 0.009, memory: 22169, loss_cls: 7.0569, loss_bbox: 0.7371, loss_centerness: 0.6513, loss: 8.4452 2022-09-29 02:40:56,030 - mmdet - INFO - Epoch [3][1900/7390] lr: 1.000e-02, eta: 4:38:01, time: 0.278, data_time: 0.009, memory: 22169, loss_cls: 7.0634, loss_bbox: 0.7417, loss_centerness: 0.6517, loss: 8.4568 2022-09-29 02:41:07,520 - mmdet - INFO - Epoch [3][1950/7390] lr: 1.000e-02, eta: 4:37:49, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0596, loss_bbox: 0.7392, loss_centerness: 0.6514, loss: 8.4502 2022-09-29 02:41:22,110 - mmdet - INFO - Epoch [3][2000/7390] lr: 1.000e-02, eta: 4:37:50, time: 0.292, data_time: 0.009, memory: 22169, loss_cls: 7.0548, loss_bbox: 0.7402, loss_centerness: 0.6514, loss: 8.4464 2022-09-29 02:41:36,088 - mmdet - INFO - Epoch [3][2050/7390] lr: 1.000e-02, eta: 4:37:48, time: 0.280, data_time: 0.009, memory: 22169, loss_cls: 7.0652, loss_bbox: 0.7371, loss_centerness: 0.6516, loss: 8.4539 2022-09-29 02:41:47,838 - mmdet - INFO - Epoch [3][2100/7390] lr: 1.000e-02, eta: 4:37:38, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0579, loss_bbox: 0.7402, loss_centerness: 0.6508, loss: 8.4489 2022-09-29 02:42:01,775 - mmdet - INFO - Epoch [3][2150/7390] lr: 1.000e-02, eta: 4:37:36, time: 0.278, data_time: 0.008, memory: 22169, loss_cls: 7.0567, loss_bbox: 0.7402, loss_centerness: 0.6508, loss: 8.4477 2022-09-29 02:42:13,533 - mmdet - INFO - Epoch [3][2200/7390] lr: 1.000e-02, eta: 4:37:25, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0621, loss_bbox: 0.7396, loss_centerness: 0.6515, loss: 8.4531 2022-09-29 02:42:25,156 - mmdet - INFO - Epoch [3][2250/7390] lr: 1.000e-02, eta: 4:37:13, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0499, loss_bbox: 0.7387, loss_centerness: 0.6500, loss: 8.4385 2022-09-29 02:42:36,773 - mmdet - INFO - Epoch [3][2300/7390] lr: 1.000e-02, eta: 4:37:02, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0635, loss_bbox: 0.7397, loss_centerness: 0.6513, loss: 8.4545 2022-09-29 02:42:48,288 - mmdet - INFO - Epoch [3][2350/7390] lr: 1.000e-02, eta: 4:36:50, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0528, loss_bbox: 0.7391, loss_centerness: 0.6509, loss: 8.4428 2022-09-29 02:42:59,841 - mmdet - INFO - Epoch [3][2400/7390] lr: 1.000e-02, eta: 4:36:38, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0601, loss_bbox: 0.7389, loss_centerness: 0.6511, loss: 8.4500 2022-09-29 02:43:11,508 - mmdet - INFO - Epoch [3][2450/7390] lr: 1.000e-02, eta: 4:36:27, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0583, loss_bbox: 0.7365, loss_centerness: 0.6514, loss: 8.4462 2022-09-29 02:43:23,125 - mmdet - INFO - Epoch [3][2500/7390] lr: 1.000e-02, eta: 4:36:15, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0568, loss_bbox: 0.7370, loss_centerness: 0.6511, loss: 8.4449 2022-09-29 02:43:34,689 - mmdet - INFO - Epoch [3][2550/7390] lr: 1.000e-02, eta: 4:36:03, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0680, loss_bbox: 0.7378, loss_centerness: 0.6514, loss: 8.4572 2022-09-29 02:43:46,476 - mmdet - INFO - Epoch [3][2600/7390] lr: 1.000e-02, eta: 4:35:52, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0566, loss_bbox: 0.7343, loss_centerness: 0.6521, loss: 8.4430 2022-09-29 02:43:58,200 - mmdet - INFO - Epoch [3][2650/7390] lr: 1.000e-02, eta: 4:35:41, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0538, loss_bbox: 0.7379, loss_centerness: 0.6517, loss: 8.4434 2022-09-29 02:44:10,014 - mmdet - INFO - Epoch [3][2700/7390] lr: 1.000e-02, eta: 4:35:30, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0451, loss_bbox: 0.7342, loss_centerness: 0.6500, loss: 8.4292 2022-09-29 02:44:21,899 - mmdet - INFO - Epoch [3][2750/7390] lr: 1.000e-02, eta: 4:35:20, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0493, loss_bbox: 0.7397, loss_centerness: 0.6507, loss: 8.4397 2022-09-29 02:44:35,896 - mmdet - INFO - Epoch [3][2800/7390] lr: 1.000e-02, eta: 4:35:18, time: 0.280, data_time: 0.009, memory: 22169, loss_cls: 7.0511, loss_bbox: 0.7406, loss_centerness: 0.6514, loss: 8.4430 2022-09-29 02:44:47,464 - mmdet - INFO - Epoch [3][2850/7390] lr: 1.000e-02, eta: 4:35:06, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0589, loss_bbox: 0.7375, loss_centerness: 0.6511, loss: 8.4476 2022-09-29 02:44:59,058 - mmdet - INFO - Epoch [3][2900/7390] lr: 1.000e-02, eta: 4:34:54, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0534, loss_bbox: 0.7402, loss_centerness: 0.6514, loss: 8.4450 2022-09-29 02:45:13,031 - mmdet - INFO - Epoch [3][2950/7390] lr: 1.000e-02, eta: 4:34:52, time: 0.279, data_time: 0.009, memory: 22169, loss_cls: 7.0542, loss_bbox: 0.7368, loss_centerness: 0.6515, loss: 8.4425 2022-09-29 02:45:24,599 - mmdet - INFO - Epoch [3][3000/7390] lr: 1.000e-02, eta: 4:34:40, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0577, loss_bbox: 0.7398, loss_centerness: 0.6507, loss: 8.4482 2022-09-29 02:45:36,208 - mmdet - INFO - Epoch [3][3050/7390] lr: 1.000e-02, eta: 4:34:29, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0447, loss_bbox: 0.7385, loss_centerness: 0.6498, loss: 8.4330 2022-09-29 02:45:47,760 - mmdet - INFO - Epoch [3][3100/7390] lr: 1.000e-02, eta: 4:34:17, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0630, loss_bbox: 0.7426, loss_centerness: 0.6510, loss: 8.4567 2022-09-29 02:45:59,421 - mmdet - INFO - Epoch [3][3150/7390] lr: 1.000e-02, eta: 4:34:05, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0603, loss_bbox: 0.7397, loss_centerness: 0.6512, loss: 8.4511 2022-09-29 02:46:11,107 - mmdet - INFO - Epoch [3][3200/7390] lr: 1.000e-02, eta: 4:33:54, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0563, loss_bbox: 0.7400, loss_centerness: 0.6510, loss: 8.4472 2022-09-29 02:46:22,709 - mmdet - INFO - Epoch [3][3250/7390] lr: 1.000e-02, eta: 4:33:42, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0699, loss_bbox: 0.7380, loss_centerness: 0.6519, loss: 8.4598 2022-09-29 02:46:34,235 - mmdet - INFO - Epoch [3][3300/7390] lr: 1.000e-02, eta: 4:33:30, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0648, loss_bbox: 0.7382, loss_centerness: 0.6510, loss: 8.4541 2022-09-29 02:46:45,893 - mmdet - INFO - Epoch [3][3350/7390] lr: 1.000e-02, eta: 4:33:19, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0584, loss_bbox: 0.7391, loss_centerness: 0.6516, loss: 8.4490 2022-09-29 02:46:57,543 - mmdet - INFO - Epoch [3][3400/7390] lr: 1.000e-02, eta: 4:33:07, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.0564, loss_bbox: 0.7409, loss_centerness: 0.6524, loss: 8.4498 2022-09-29 02:47:09,154 - mmdet - INFO - Epoch [3][3450/7390] lr: 1.000e-02, eta: 4:32:56, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0570, loss_bbox: 0.7413, loss_centerness: 0.6516, loss: 8.4499 2022-09-29 02:47:20,906 - mmdet - INFO - Epoch [3][3500/7390] lr: 1.000e-02, eta: 4:32:44, time: 0.235, data_time: 0.008, memory: 22169, loss_cls: 7.0541, loss_bbox: 0.7435, loss_centerness: 0.6512, loss: 8.4488 2022-09-29 02:47:32,579 - mmdet - INFO - Epoch [3][3550/7390] lr: 1.000e-02, eta: 4:32:33, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0595, loss_bbox: 0.7402, loss_centerness: 0.6513, loss: 8.4510 2022-09-29 02:47:44,125 - mmdet - INFO - Epoch [3][3600/7390] lr: 1.000e-02, eta: 4:32:21, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0591, loss_bbox: 0.7396, loss_centerness: 0.6518, loss: 8.4504 2022-09-29 02:47:55,671 - mmdet - INFO - Epoch [3][3650/7390] lr: 1.000e-02, eta: 4:32:09, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0613, loss_bbox: 0.7399, loss_centerness: 0.6508, loss: 8.4520 2022-09-29 02:48:07,257 - mmdet - INFO - Epoch [3][3700/7390] lr: 1.000e-02, eta: 4:31:57, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0584, loss_bbox: 0.7399, loss_centerness: 0.6506, loss: 8.4489 2022-09-29 02:48:18,948 - mmdet - INFO - Epoch [3][3750/7390] lr: 1.000e-02, eta: 4:31:46, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0581, loss_bbox: 0.7386, loss_centerness: 0.6515, loss: 8.4482 2022-09-29 02:48:30,640 - mmdet - INFO - Epoch [3][3800/7390] lr: 1.000e-02, eta: 4:31:35, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0548, loss_bbox: 0.7372, loss_centerness: 0.6507, loss: 8.4427 2022-09-29 02:48:42,069 - mmdet - INFO - Epoch [3][3850/7390] lr: 1.000e-02, eta: 4:31:22, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0599, loss_bbox: 0.7403, loss_centerness: 0.6522, loss: 8.4525 2022-09-29 02:48:53,652 - mmdet - INFO - Epoch [3][3900/7390] lr: 1.000e-02, eta: 4:31:11, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0520, loss_bbox: 0.7387, loss_centerness: 0.6517, loss: 8.4425 2022-09-29 02:49:05,229 - mmdet - INFO - Epoch [3][3950/7390] lr: 1.000e-02, eta: 4:30:59, time: 0.232, data_time: 0.008, memory: 22169, loss_cls: 7.0593, loss_bbox: 0.7414, loss_centerness: 0.6514, loss: 8.4521 2022-09-29 02:49:17,862 - mmdet - INFO - Epoch [3][4000/7390] lr: 1.000e-02, eta: 4:30:51, time: 0.253, data_time: 0.008, memory: 22169, loss_cls: 7.0520, loss_bbox: 0.7400, loss_centerness: 0.6511, loss: 8.4431 2022-09-29 02:49:29,322 - mmdet - INFO - Epoch [3][4050/7390] lr: 1.000e-02, eta: 4:30:39, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0603, loss_bbox: 0.7369, loss_centerness: 0.6509, loss: 8.4481 2022-09-29 02:49:40,836 - mmdet - INFO - Epoch [3][4100/7390] lr: 1.000e-02, eta: 4:30:27, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0639, loss_bbox: 0.7389, loss_centerness: 0.6517, loss: 8.4545 2022-09-29 02:49:52,526 - mmdet - INFO - Epoch [3][4150/7390] lr: 1.000e-02, eta: 4:30:15, time: 0.234, data_time: 0.008, memory: 22169, loss_cls: 7.0580, loss_bbox: 0.7343, loss_centerness: 0.6514, loss: 8.4437 2022-09-29 02:50:04,254 - mmdet - INFO - Epoch [3][4200/7390] lr: 1.000e-02, eta: 4:30:04, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0474, loss_bbox: 0.7358, loss_centerness: 0.6515, loss: 8.4346 2022-09-29 02:50:16,099 - mmdet - INFO - Epoch [3][4250/7390] lr: 1.000e-02, eta: 4:29:53, time: 0.237, data_time: 0.008, memory: 22169, loss_cls: 7.0589, loss_bbox: 0.7379, loss_centerness: 0.6509, loss: 8.4477 2022-09-29 02:50:27,574 - mmdet - INFO - Epoch [3][4300/7390] lr: 1.000e-02, eta: 4:29:41, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0602, loss_bbox: 0.7366, loss_centerness: 0.6507, loss: 8.4475 2022-09-29 02:50:39,114 - mmdet - INFO - Epoch [3][4350/7390] lr: 1.000e-02, eta: 4:29:29, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0623, loss_bbox: 0.7364, loss_centerness: 0.6515, loss: 8.4502 2022-09-29 02:50:50,608 - mmdet - INFO - Epoch [3][4400/7390] lr: 1.000e-02, eta: 4:29:17, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0407, loss_bbox: 0.7408, loss_centerness: 0.6496, loss: 8.4311 2022-09-29 02:51:02,130 - mmdet - INFO - Epoch [3][4450/7390] lr: 1.000e-02, eta: 4:29:05, time: 0.230, data_time: 0.008, memory: 22169, loss_cls: 7.0597, loss_bbox: 0.7397, loss_centerness: 0.6513, loss: 8.4507 2022-09-29 02:51:13,737 - mmdet - INFO - Epoch [3][4500/7390] lr: 1.000e-02, eta: 4:28:53, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0556, loss_bbox: 0.7393, loss_centerness: 0.6514, loss: 8.4463 2022-09-29 02:51:25,204 - mmdet - INFO - Epoch [3][4550/7390] lr: 1.000e-02, eta: 4:28:41, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0496, loss_bbox: 0.7356, loss_centerness: 0.6511, loss: 8.4363 2022-09-29 02:51:36,966 - mmdet - INFO - Epoch [3][4600/7390] lr: 1.000e-02, eta: 4:28:30, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0582, loss_bbox: 0.7399, loss_centerness: 0.6511, loss: 8.4492 2022-09-29 02:51:48,608 - mmdet - INFO - Epoch [3][4650/7390] lr: 1.000e-02, eta: 4:28:18, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0636, loss_bbox: 0.7409, loss_centerness: 0.6515, loss: 8.4560 2022-09-29 02:52:00,179 - mmdet - INFO - Epoch [3][4700/7390] lr: 1.000e-02, eta: 4:28:07, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0524, loss_bbox: 0.7400, loss_centerness: 0.6511, loss: 8.4435 2022-09-29 02:52:11,840 - mmdet - INFO - Epoch [3][4750/7390] lr: 1.000e-02, eta: 4:27:55, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0564, loss_bbox: 0.7353, loss_centerness: 0.6513, loss: 8.4429 2022-09-29 02:52:23,488 - mmdet - INFO - Epoch [3][4800/7390] lr: 1.000e-02, eta: 4:27:44, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.0563, loss_bbox: 0.7375, loss_centerness: 0.6509, loss: 8.4446 2022-09-29 02:52:34,998 - mmdet - INFO - Epoch [3][4850/7390] lr: 1.000e-02, eta: 4:27:32, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0520, loss_bbox: 0.7397, loss_centerness: 0.6509, loss: 8.4426 2022-09-29 02:52:46,465 - mmdet - INFO - Epoch [3][4900/7390] lr: 1.000e-02, eta: 4:27:19, time: 0.229, data_time: 0.008, memory: 22169, loss_cls: 7.0557, loss_bbox: 0.7415, loss_centerness: 0.6515, loss: 8.4487 2022-09-29 02:52:57,820 - mmdet - INFO - Epoch [3][4950/7390] lr: 1.000e-02, eta: 4:27:07, time: 0.227, data_time: 0.009, memory: 22169, loss_cls: 7.0592, loss_bbox: 0.7403, loss_centerness: 0.6515, loss: 8.4510 2022-09-29 02:53:09,297 - mmdet - INFO - Epoch [3][5000/7390] lr: 1.000e-02, eta: 4:26:55, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0548, loss_bbox: 0.7375, loss_centerness: 0.6508, loss: 8.4431 2022-09-29 02:53:21,120 - mmdet - INFO - Epoch [3][5050/7390] lr: 1.000e-02, eta: 4:26:44, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0540, loss_bbox: 0.7415, loss_centerness: 0.6512, loss: 8.4467 2022-09-29 02:53:32,525 - mmdet - INFO - Epoch [3][5100/7390] lr: 1.000e-02, eta: 4:26:31, time: 0.228, data_time: 0.008, memory: 22169, loss_cls: 7.0506, loss_bbox: 0.7356, loss_centerness: 0.6511, loss: 8.4373 2022-09-29 02:53:44,041 - mmdet - INFO - Epoch [3][5150/7390] lr: 1.000e-02, eta: 4:26:19, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0517, loss_bbox: 0.7358, loss_centerness: 0.6515, loss: 8.4390 2022-09-29 02:53:55,699 - mmdet - INFO - Epoch [3][5200/7390] lr: 1.000e-02, eta: 4:26:08, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0390, loss_bbox: 0.7404, loss_centerness: 0.6503, loss: 8.4296 2022-09-29 02:54:07,310 - mmdet - INFO - Epoch [3][5250/7390] lr: 1.000e-02, eta: 4:25:56, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0522, loss_bbox: 0.7377, loss_centerness: 0.6520, loss: 8.4419 2022-09-29 02:54:18,806 - mmdet - INFO - Epoch [3][5300/7390] lr: 1.000e-02, eta: 4:25:44, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0463, loss_bbox: 0.7351, loss_centerness: 0.6512, loss: 8.4325 2022-09-29 02:54:30,324 - mmdet - INFO - Epoch [3][5350/7390] lr: 1.000e-02, eta: 4:25:32, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0491, loss_bbox: 0.7355, loss_centerness: 0.6513, loss: 8.4359 2022-09-29 02:54:41,970 - mmdet - INFO - Epoch [3][5400/7390] lr: 1.000e-02, eta: 4:25:21, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0553, loss_bbox: 0.7398, loss_centerness: 0.6521, loss: 8.4471 2022-09-29 02:54:53,523 - mmdet - INFO - Epoch [3][5450/7390] lr: 1.000e-02, eta: 4:25:09, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0532, loss_bbox: 0.7384, loss_centerness: 0.6504, loss: 8.4420 2022-09-29 02:55:05,000 - mmdet - INFO - Epoch [3][5500/7390] lr: 1.000e-02, eta: 4:24:57, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0527, loss_bbox: 0.7370, loss_centerness: 0.6509, loss: 8.4406 2022-09-29 02:55:16,665 - mmdet - INFO - Epoch [3][5550/7390] lr: 1.000e-02, eta: 4:24:45, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0464, loss_bbox: 0.7344, loss_centerness: 0.6510, loss: 8.4318 2022-09-29 02:55:28,144 - mmdet - INFO - Epoch [3][5600/7390] lr: 1.000e-02, eta: 4:24:33, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0474, loss_bbox: 0.7392, loss_centerness: 0.6521, loss: 8.4387 2022-09-29 02:55:39,810 - mmdet - INFO - Epoch [3][5650/7390] lr: 1.000e-02, eta: 4:24:22, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0533, loss_bbox: 0.7392, loss_centerness: 0.6506, loss: 8.4431 2022-09-29 02:55:51,304 - mmdet - INFO - Epoch [3][5700/7390] lr: 1.000e-02, eta: 4:24:10, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0486, loss_bbox: 0.7371, loss_centerness: 0.6515, loss: 8.4372 2022-09-29 02:56:02,788 - mmdet - INFO - Epoch [3][5750/7390] lr: 1.000e-02, eta: 4:23:58, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0530, loss_bbox: 0.7388, loss_centerness: 0.6509, loss: 8.4427 2022-09-29 02:56:14,451 - mmdet - INFO - Epoch [3][5800/7390] lr: 1.000e-02, eta: 4:23:46, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0480, loss_bbox: 0.7396, loss_centerness: 0.6516, loss: 8.4393 2022-09-29 02:56:25,987 - mmdet - INFO - Epoch [3][5850/7390] lr: 1.000e-02, eta: 4:23:34, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0510, loss_bbox: 0.7347, loss_centerness: 0.6515, loss: 8.4373 2022-09-29 02:56:37,434 - mmdet - INFO - Epoch [3][5900/7390] lr: 1.000e-02, eta: 4:23:22, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0585, loss_bbox: 0.7370, loss_centerness: 0.6510, loss: 8.4465 2022-09-29 02:56:49,046 - mmdet - INFO - Epoch [3][5950/7390] lr: 1.000e-02, eta: 4:23:10, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0494, loss_bbox: 0.7364, loss_centerness: 0.6515, loss: 8.4372 2022-09-29 02:57:00,511 - mmdet - INFO - Epoch [3][6000/7390] lr: 1.000e-02, eta: 4:22:58, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0556, loss_bbox: 0.7400, loss_centerness: 0.6508, loss: 8.4464 2022-09-29 02:57:12,004 - mmdet - INFO - Epoch [3][6050/7390] lr: 1.000e-02, eta: 4:22:46, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0463, loss_bbox: 0.7341, loss_centerness: 0.6510, loss: 8.4315 2022-09-29 02:57:23,606 - mmdet - INFO - Epoch [3][6100/7390] lr: 1.000e-02, eta: 4:22:35, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0585, loss_bbox: 0.7383, loss_centerness: 0.6513, loss: 8.4481 2022-09-29 02:57:35,156 - mmdet - INFO - Epoch [3][6150/7390] lr: 1.000e-02, eta: 4:22:23, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0458, loss_bbox: 0.7355, loss_centerness: 0.6513, loss: 8.4326 2022-09-29 02:57:46,825 - mmdet - INFO - Epoch [3][6200/7390] lr: 1.000e-02, eta: 4:22:11, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0522, loss_bbox: 0.7356, loss_centerness: 0.6518, loss: 8.4395 2022-09-29 02:57:58,598 - mmdet - INFO - Epoch [3][6250/7390] lr: 1.000e-02, eta: 4:22:00, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0458, loss_bbox: 0.7360, loss_centerness: 0.6508, loss: 8.4326 2022-09-29 02:58:10,055 - mmdet - INFO - Epoch [3][6300/7390] lr: 1.000e-02, eta: 4:21:48, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0551, loss_bbox: 0.7338, loss_centerness: 0.6515, loss: 8.4404 2022-09-29 02:58:21,672 - mmdet - INFO - Epoch [3][6350/7390] lr: 1.000e-02, eta: 4:21:36, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0548, loss_bbox: 0.7360, loss_centerness: 0.6513, loss: 8.4420 2022-09-29 02:58:33,134 - mmdet - INFO - Epoch [3][6400/7390] lr: 1.000e-02, eta: 4:21:24, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0580, loss_bbox: 0.7329, loss_centerness: 0.6513, loss: 8.4422 2022-09-29 02:58:44,659 - mmdet - INFO - Epoch [3][6450/7390] lr: 1.000e-02, eta: 4:21:12, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0494, loss_bbox: 0.7362, loss_centerness: 0.6511, loss: 8.4366 2022-09-29 02:58:56,476 - mmdet - INFO - Epoch [3][6500/7390] lr: 1.000e-02, eta: 4:21:01, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0494, loss_bbox: 0.7387, loss_centerness: 0.6512, loss: 8.4392 2022-09-29 02:59:08,138 - mmdet - INFO - Epoch [3][6550/7390] lr: 1.000e-02, eta: 4:20:50, time: 0.233, data_time: 0.008, memory: 22169, loss_cls: 7.0426, loss_bbox: 0.7358, loss_centerness: 0.6515, loss: 8.4300 2022-09-29 02:59:19,766 - mmdet - INFO - Epoch [3][6600/7390] lr: 1.000e-02, eta: 4:20:38, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0447, loss_bbox: 0.7345, loss_centerness: 0.6507, loss: 8.4298 2022-09-29 02:59:31,210 - mmdet - INFO - Epoch [3][6650/7390] lr: 1.000e-02, eta: 4:20:26, time: 0.228, data_time: 0.009, memory: 22169, loss_cls: 7.0507, loss_bbox: 0.7357, loss_centerness: 0.6509, loss: 8.4374 2022-09-29 02:59:42,814 - mmdet - INFO - Epoch [3][6700/7390] lr: 1.000e-02, eta: 4:20:14, time: 0.233, data_time: 0.010, memory: 22169, loss_cls: 7.0471, loss_bbox: 0.7378, loss_centerness: 0.6511, loss: 8.4359 2022-09-29 02:59:54,378 - mmdet - INFO - Epoch [3][6750/7390] lr: 1.000e-02, eta: 4:20:03, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0532, loss_bbox: 0.7367, loss_centerness: 0.6514, loss: 8.4413 2022-09-29 03:00:06,246 - mmdet - INFO - Epoch [3][6800/7390] lr: 1.000e-02, eta: 4:19:52, time: 0.238, data_time: 0.009, memory: 22169, loss_cls: 7.0558, loss_bbox: 0.7376, loss_centerness: 0.6521, loss: 8.4455 2022-09-29 03:00:17,719 - mmdet - INFO - Epoch [3][6850/7390] lr: 1.000e-02, eta: 4:19:40, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0375, loss_bbox: 0.7344, loss_centerness: 0.6510, loss: 8.4228 2022-09-29 03:00:29,416 - mmdet - INFO - Epoch [3][6900/7390] lr: 1.000e-02, eta: 4:19:28, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0448, loss_bbox: 0.7346, loss_centerness: 0.6512, loss: 8.4307 2022-09-29 03:00:41,181 - mmdet - INFO - Epoch [3][6950/7390] lr: 1.000e-02, eta: 4:19:17, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0399, loss_bbox: 0.7353, loss_centerness: 0.6511, loss: 8.4263 2022-09-29 03:00:52,827 - mmdet - INFO - Epoch [3][7000/7390] lr: 1.000e-02, eta: 4:19:06, time: 0.233, data_time: 0.010, memory: 22169, loss_cls: 7.0537, loss_bbox: 0.7350, loss_centerness: 0.6512, loss: 8.4399 2022-09-29 03:01:04,365 - mmdet - INFO - Epoch [3][7050/7390] lr: 1.000e-02, eta: 4:18:54, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0474, loss_bbox: 0.7367, loss_centerness: 0.6514, loss: 8.4356 2022-09-29 03:01:18,183 - mmdet - INFO - Epoch [3][7100/7390] lr: 1.000e-02, eta: 4:18:49, time: 0.276, data_time: 0.009, memory: 22169, loss_cls: 7.0392, loss_bbox: 0.7366, loss_centerness: 0.6513, loss: 8.4271 2022-09-29 03:01:29,656 - mmdet - INFO - Epoch [3][7150/7390] lr: 1.000e-02, eta: 4:18:37, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0435, loss_bbox: 0.7369, loss_centerness: 0.6508, loss: 8.4311 2022-09-29 03:01:41,303 - mmdet - INFO - Epoch [3][7200/7390] lr: 1.000e-02, eta: 4:18:25, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0506, loss_bbox: 0.7401, loss_centerness: 0.6511, loss: 8.4418 2022-09-29 03:01:52,767 - mmdet - INFO - Epoch [3][7250/7390] lr: 1.000e-02, eta: 4:18:13, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0484, loss_bbox: 0.7386, loss_centerness: 0.6514, loss: 8.4385 2022-09-29 03:02:04,503 - mmdet - INFO - Epoch [3][7300/7390] lr: 1.000e-02, eta: 4:18:02, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0436, loss_bbox: 0.7400, loss_centerness: 0.6511, loss: 8.4347 2022-09-29 03:02:16,121 - mmdet - INFO - Epoch [3][7350/7390] lr: 1.000e-02, eta: 4:17:50, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0439, loss_bbox: 0.7367, loss_centerness: 0.6510, loss: 8.4316 2022-09-29 03:02:25,547 - mmdet - INFO - Saving checkpoint at 3 epochs 2022-09-29 03:02:41,157 - mmdet - INFO - Epoch [4][50/7390] lr: 1.000e-02, eta: 4:17:11, time: 0.294, data_time: 0.070, memory: 22169, loss_cls: 7.0469, loss_bbox: 0.7392, loss_centerness: 0.6523, loss: 8.4384 2022-09-29 03:02:52,885 - mmdet - INFO - Epoch [4][100/7390] lr: 1.000e-02, eta: 4:16:59, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0341, loss_bbox: 0.7364, loss_centerness: 0.6517, loss: 8.4223 2022-09-29 03:03:04,545 - mmdet - INFO - Epoch [4][150/7390] lr: 1.000e-02, eta: 4:16:48, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0461, loss_bbox: 0.7355, loss_centerness: 0.6514, loss: 8.4330 2022-09-29 03:03:16,395 - mmdet - INFO - Epoch [4][200/7390] lr: 1.000e-02, eta: 4:16:37, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0360, loss_bbox: 0.7338, loss_centerness: 0.6509, loss: 8.4207 2022-09-29 03:03:28,018 - mmdet - INFO - Epoch [4][250/7390] lr: 1.000e-02, eta: 4:16:25, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0412, loss_bbox: 0.7402, loss_centerness: 0.6514, loss: 8.4328 2022-09-29 03:03:39,661 - mmdet - INFO - Epoch [4][300/7390] lr: 1.000e-02, eta: 4:16:14, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0432, loss_bbox: 0.7378, loss_centerness: 0.6514, loss: 8.4324 2022-09-29 03:03:51,246 - mmdet - INFO - Epoch [4][350/7390] lr: 1.000e-02, eta: 4:16:02, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0408, loss_bbox: 0.7393, loss_centerness: 0.6505, loss: 8.4307 2022-09-29 03:04:03,043 - mmdet - INFO - Epoch [4][400/7390] lr: 1.000e-02, eta: 4:15:51, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0423, loss_bbox: 0.7332, loss_centerness: 0.6510, loss: 8.4265 2022-09-29 03:04:14,541 - mmdet - INFO - Epoch [4][450/7390] lr: 1.000e-02, eta: 4:15:39, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0468, loss_bbox: 0.7382, loss_centerness: 0.6519, loss: 8.4369 2022-09-29 03:04:26,269 - mmdet - INFO - Epoch [4][500/7390] lr: 1.000e-02, eta: 4:15:28, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0413, loss_bbox: 0.7394, loss_centerness: 0.6513, loss: 8.4321 2022-09-29 03:04:37,994 - mmdet - INFO - Epoch [4][550/7390] lr: 1.000e-02, eta: 4:15:17, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0369, loss_bbox: 0.7344, loss_centerness: 0.6518, loss: 8.4230 2022-09-29 03:04:49,807 - mmdet - INFO - Epoch [4][600/7390] lr: 1.000e-02, eta: 4:15:06, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0409, loss_bbox: 0.7357, loss_centerness: 0.6510, loss: 8.4276 2022-09-29 03:05:01,454 - mmdet - INFO - Epoch [4][650/7390] lr: 1.000e-02, eta: 4:14:54, time: 0.234, data_time: 0.010, memory: 22169, loss_cls: 7.0558, loss_bbox: 0.7359, loss_centerness: 0.6516, loss: 8.4434 2022-09-29 03:05:13,070 - mmdet - INFO - Epoch [4][700/7390] lr: 1.000e-02, eta: 4:14:43, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0324, loss_bbox: 0.7353, loss_centerness: 0.6508, loss: 8.4185 2022-09-29 03:05:24,842 - mmdet - INFO - Epoch [4][750/7390] lr: 1.000e-02, eta: 4:14:31, time: 0.236, data_time: 0.010, memory: 22169, loss_cls: 7.0274, loss_bbox: 0.7370, loss_centerness: 0.6495, loss: 8.4139 2022-09-29 03:05:36,593 - mmdet - INFO - Epoch [4][800/7390] lr: 1.000e-02, eta: 4:14:20, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0410, loss_bbox: 0.7368, loss_centerness: 0.6511, loss: 8.4288 2022-09-29 03:05:48,282 - mmdet - INFO - Epoch [4][850/7390] lr: 1.000e-02, eta: 4:14:09, time: 0.234, data_time: 0.010, memory: 22169, loss_cls: 7.0448, loss_bbox: 0.7336, loss_centerness: 0.6513, loss: 8.4297 2022-09-29 03:05:59,837 - mmdet - INFO - Epoch [4][900/7390] lr: 1.000e-02, eta: 4:13:57, time: 0.231, data_time: 0.010, memory: 22169, loss_cls: 7.0385, loss_bbox: 0.7383, loss_centerness: 0.6514, loss: 8.4281 2022-09-29 03:06:11,578 - mmdet - INFO - Epoch [4][950/7390] lr: 1.000e-02, eta: 4:13:46, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0384, loss_bbox: 0.7350, loss_centerness: 0.6514, loss: 8.4249 2022-09-29 03:06:23,185 - mmdet - INFO - Epoch [4][1000/7390] lr: 1.000e-02, eta: 4:13:34, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0367, loss_bbox: 0.7362, loss_centerness: 0.6508, loss: 8.4237 2022-09-29 03:06:34,772 - mmdet - INFO - Epoch [4][1050/7390] lr: 1.000e-02, eta: 4:13:22, time: 0.232, data_time: 0.010, memory: 22169, loss_cls: 7.0423, loss_bbox: 0.7348, loss_centerness: 0.6512, loss: 8.4283 2022-09-29 03:06:46,371 - mmdet - INFO - Epoch [4][1100/7390] lr: 1.000e-02, eta: 4:13:11, time: 0.232, data_time: 0.010, memory: 22169, loss_cls: 7.0398, loss_bbox: 0.7373, loss_centerness: 0.6507, loss: 8.4279 2022-09-29 03:06:58,055 - mmdet - INFO - Epoch [4][1150/7390] lr: 1.000e-02, eta: 4:12:59, time: 0.234, data_time: 0.010, memory: 22169, loss_cls: 7.0431, loss_bbox: 0.7359, loss_centerness: 0.6512, loss: 8.4302 2022-09-29 03:07:09,817 - mmdet - INFO - Epoch [4][1200/7390] lr: 1.000e-02, eta: 4:12:48, time: 0.235, data_time: 0.010, memory: 22169, loss_cls: 7.0392, loss_bbox: 0.7385, loss_centerness: 0.6511, loss: 8.4288 2022-09-29 03:07:21,469 - mmdet - INFO - Epoch [4][1250/7390] lr: 1.000e-02, eta: 4:12:37, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0403, loss_bbox: 0.7414, loss_centerness: 0.6517, loss: 8.4334 2022-09-29 03:07:33,112 - mmdet - INFO - Epoch [4][1300/7390] lr: 1.000e-02, eta: 4:12:25, time: 0.233, data_time: 0.010, memory: 22169, loss_cls: 7.0369, loss_bbox: 0.7385, loss_centerness: 0.6512, loss: 8.4266 2022-09-29 03:07:44,795 - mmdet - INFO - Epoch [4][1350/7390] lr: 1.000e-02, eta: 4:12:14, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0326, loss_bbox: 0.7331, loss_centerness: 0.6510, loss: 8.4167 2022-09-29 03:07:56,518 - mmdet - INFO - Epoch [4][1400/7390] lr: 1.000e-02, eta: 4:12:02, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0398, loss_bbox: 0.7353, loss_centerness: 0.6512, loss: 8.4263 2022-09-29 03:08:07,929 - mmdet - INFO - Epoch [4][1450/7390] lr: 1.000e-02, eta: 4:11:50, time: 0.228, data_time: 0.009, memory: 22169, loss_cls: 7.0452, loss_bbox: 0.7381, loss_centerness: 0.6508, loss: 8.4341 2022-09-29 03:08:19,668 - mmdet - INFO - Epoch [4][1500/7390] lr: 1.000e-02, eta: 4:11:39, time: 0.235, data_time: 0.010, memory: 22169, loss_cls: 7.0353, loss_bbox: 0.7326, loss_centerness: 0.6510, loss: 8.4189 2022-09-29 03:08:31,399 - mmdet - INFO - Epoch [4][1550/7390] lr: 1.000e-02, eta: 4:11:28, time: 0.234, data_time: 0.010, memory: 22169, loss_cls: 7.0416, loss_bbox: 0.7360, loss_centerness: 0.6515, loss: 8.4292 2022-09-29 03:08:42,976 - mmdet - INFO - Epoch [4][1600/7390] lr: 1.000e-02, eta: 4:11:16, time: 0.232, data_time: 0.010, memory: 22169, loss_cls: 7.0423, loss_bbox: 0.7358, loss_centerness: 0.6513, loss: 8.4294 2022-09-29 03:08:54,548 - mmdet - INFO - Epoch [4][1650/7390] lr: 1.000e-02, eta: 4:11:04, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0390, loss_bbox: 0.7440, loss_centerness: 0.6515, loss: 8.4344 2022-09-29 03:09:06,141 - mmdet - INFO - Epoch [4][1700/7390] lr: 1.000e-02, eta: 4:10:53, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0348, loss_bbox: 0.7397, loss_centerness: 0.6515, loss: 8.4261 2022-09-29 03:09:18,014 - mmdet - INFO - Epoch [4][1750/7390] lr: 1.000e-02, eta: 4:10:42, time: 0.238, data_time: 0.009, memory: 22169, loss_cls: 7.0409, loss_bbox: 0.7352, loss_centerness: 0.6514, loss: 8.4274 2022-09-29 03:09:29,669 - mmdet - INFO - Epoch [4][1800/7390] lr: 1.000e-02, eta: 4:10:30, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0360, loss_bbox: 0.7326, loss_centerness: 0.6508, loss: 8.4194 2022-09-29 03:09:41,635 - mmdet - INFO - Epoch [4][1850/7390] lr: 1.000e-02, eta: 4:10:20, time: 0.239, data_time: 0.010, memory: 22169, loss_cls: 7.0350, loss_bbox: 0.7364, loss_centerness: 0.6510, loss: 8.4223 2022-09-29 03:09:53,700 - mmdet - INFO - Epoch [4][1900/7390] lr: 1.000e-02, eta: 4:10:09, time: 0.242, data_time: 0.010, memory: 22169, loss_cls: 7.0330, loss_bbox: 0.7359, loss_centerness: 0.6509, loss: 8.4198 2022-09-29 03:10:05,984 - mmdet - INFO - Epoch [4][1950/7390] lr: 1.000e-02, eta: 4:09:59, time: 0.245, data_time: 0.010, memory: 22169, loss_cls: 7.0331, loss_bbox: 0.7352, loss_centerness: 0.6513, loss: 8.4196 2022-09-29 03:10:17,610 - mmdet - INFO - Epoch [4][2000/7390] lr: 1.000e-02, eta: 4:09:48, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0292, loss_bbox: 0.7379, loss_centerness: 0.6511, loss: 8.4183 2022-09-29 03:10:29,284 - mmdet - INFO - Epoch [4][2050/7390] lr: 1.000e-02, eta: 4:09:36, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0392, loss_bbox: 0.7377, loss_centerness: 0.6512, loss: 8.4281 2022-09-29 03:10:41,017 - mmdet - INFO - Epoch [4][2100/7390] lr: 1.000e-02, eta: 4:09:25, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0388, loss_bbox: 0.7343, loss_centerness: 0.6516, loss: 8.4247 2022-09-29 03:10:52,658 - mmdet - INFO - Epoch [4][2150/7390] lr: 1.000e-02, eta: 4:09:13, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0372, loss_bbox: 0.7372, loss_centerness: 0.6507, loss: 8.4250 2022-09-29 03:11:04,173 - mmdet - INFO - Epoch [4][2200/7390] lr: 1.000e-02, eta: 4:09:01, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0333, loss_bbox: 0.7364, loss_centerness: 0.6507, loss: 8.4204 2022-09-29 03:11:15,790 - mmdet - INFO - Epoch [4][2250/7390] lr: 1.000e-02, eta: 4:08:50, time: 0.232, data_time: 0.010, memory: 22169, loss_cls: 7.0478, loss_bbox: 0.7365, loss_centerness: 0.6513, loss: 8.4357 2022-09-29 03:11:27,338 - mmdet - INFO - Epoch [4][2300/7390] lr: 1.000e-02, eta: 4:08:38, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0405, loss_bbox: 0.7334, loss_centerness: 0.6512, loss: 8.4251 2022-09-29 03:11:38,976 - mmdet - INFO - Epoch [4][2350/7390] lr: 1.000e-02, eta: 4:08:27, time: 0.233, data_time: 0.010, memory: 22169, loss_cls: 7.0266, loss_bbox: 0.7331, loss_centerness: 0.6514, loss: 8.4112 2022-09-29 03:11:50,613 - mmdet - INFO - Epoch [4][2400/7390] lr: 1.000e-02, eta: 4:08:15, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0130, loss_bbox: 0.7370, loss_centerness: 0.6496, loss: 8.3995 2022-09-29 03:12:02,540 - mmdet - INFO - Epoch [4][2450/7390] lr: 1.000e-02, eta: 4:08:04, time: 0.238, data_time: 0.009, memory: 22169, loss_cls: 7.0421, loss_bbox: 0.7385, loss_centerness: 0.6512, loss: 8.4318 2022-09-29 03:12:14,383 - mmdet - INFO - Epoch [4][2500/7390] lr: 1.000e-02, eta: 4:07:53, time: 0.237, data_time: 0.010, memory: 22169, loss_cls: 7.0338, loss_bbox: 0.7384, loss_centerness: 0.6511, loss: 8.4234 2022-09-29 03:12:25,951 - mmdet - INFO - Epoch [4][2550/7390] lr: 1.000e-02, eta: 4:07:41, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0311, loss_bbox: 0.7370, loss_centerness: 0.6513, loss: 8.4194 2022-09-29 03:12:37,541 - mmdet - INFO - Epoch [4][2600/7390] lr: 1.000e-02, eta: 4:07:30, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0372, loss_bbox: 0.7360, loss_centerness: 0.6518, loss: 8.4250 2022-09-29 03:12:49,174 - mmdet - INFO - Epoch [4][2650/7390] lr: 1.000e-02, eta: 4:07:18, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0368, loss_bbox: 0.7350, loss_centerness: 0.6513, loss: 8.4231 2022-09-29 03:13:00,767 - mmdet - INFO - Epoch [4][2700/7390] lr: 1.000e-02, eta: 4:07:06, time: 0.232, data_time: 0.010, memory: 22169, loss_cls: 7.0272, loss_bbox: 0.7359, loss_centerness: 0.6509, loss: 8.4140 2022-09-29 03:13:12,387 - mmdet - INFO - Epoch [4][2750/7390] lr: 1.000e-02, eta: 4:06:55, time: 0.233, data_time: 0.010, memory: 22169, loss_cls: 7.0283, loss_bbox: 0.7369, loss_centerness: 0.6512, loss: 8.4163 2022-09-29 03:13:24,117 - mmdet - INFO - Epoch [4][2800/7390] lr: 1.000e-02, eta: 4:06:43, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0365, loss_bbox: 0.7355, loss_centerness: 0.6509, loss: 8.4230 2022-09-29 03:13:35,666 - mmdet - INFO - Epoch [4][2850/7390] lr: 1.000e-02, eta: 4:06:32, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0100, loss_bbox: 0.7353, loss_centerness: 0.6490, loss: 8.3942 2022-09-29 03:13:47,264 - mmdet - INFO - Epoch [4][2900/7390] lr: 1.000e-02, eta: 4:06:20, time: 0.232, data_time: 0.010, memory: 22169, loss_cls: 7.0346, loss_bbox: 0.7348, loss_centerness: 0.6516, loss: 8.4210 2022-09-29 03:13:58,946 - mmdet - INFO - Epoch [4][2950/7390] lr: 1.000e-02, eta: 4:06:09, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0361, loss_bbox: 0.7382, loss_centerness: 0.6511, loss: 8.4255 2022-09-29 03:14:10,579 - mmdet - INFO - Epoch [4][3000/7390] lr: 1.000e-02, eta: 4:05:57, time: 0.233, data_time: 0.010, memory: 22169, loss_cls: 7.0283, loss_bbox: 0.7333, loss_centerness: 0.6512, loss: 8.4129 2022-09-29 03:14:22,293 - mmdet - INFO - Epoch [4][3050/7390] lr: 1.000e-02, eta: 4:05:46, time: 0.234, data_time: 0.010, memory: 22169, loss_cls: 7.0332, loss_bbox: 0.7339, loss_centerness: 0.6516, loss: 8.4186 2022-09-29 03:14:34,054 - mmdet - INFO - Epoch [4][3100/7390] lr: 1.000e-02, eta: 4:05:34, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0325, loss_bbox: 0.7375, loss_centerness: 0.6512, loss: 8.4212 2022-09-29 03:14:45,870 - mmdet - INFO - Epoch [4][3150/7390] lr: 1.000e-02, eta: 4:05:23, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0315, loss_bbox: 0.7342, loss_centerness: 0.6508, loss: 8.4165 2022-09-29 03:14:57,444 - mmdet - INFO - Epoch [4][3200/7390] lr: 1.000e-02, eta: 4:05:11, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0346, loss_bbox: 0.7338, loss_centerness: 0.6515, loss: 8.4199 2022-09-29 03:15:09,106 - mmdet - INFO - Epoch [4][3250/7390] lr: 1.000e-02, eta: 4:05:00, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0332, loss_bbox: 0.7384, loss_centerness: 0.6516, loss: 8.4232 2022-09-29 03:15:20,770 - mmdet - INFO - Epoch [4][3300/7390] lr: 1.000e-02, eta: 4:04:48, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0368, loss_bbox: 0.7326, loss_centerness: 0.6511, loss: 8.4205 2022-09-29 03:15:32,392 - mmdet - INFO - Epoch [4][3350/7390] lr: 1.000e-02, eta: 4:04:37, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0264, loss_bbox: 0.7366, loss_centerness: 0.6522, loss: 8.4151 2022-09-29 03:15:44,436 - mmdet - INFO - Epoch [4][3400/7390] lr: 1.000e-02, eta: 4:04:26, time: 0.241, data_time: 0.009, memory: 22169, loss_cls: 7.0411, loss_bbox: 0.7374, loss_centerness: 0.6506, loss: 8.4290 2022-09-29 03:15:56,122 - mmdet - INFO - Epoch [4][3450/7390] lr: 1.000e-02, eta: 4:04:15, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0268, loss_bbox: 0.7347, loss_centerness: 0.6512, loss: 8.4127 2022-09-29 03:16:07,778 - mmdet - INFO - Epoch [4][3500/7390] lr: 1.000e-02, eta: 4:04:03, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0326, loss_bbox: 0.7339, loss_centerness: 0.6516, loss: 8.4181 2022-09-29 03:16:19,621 - mmdet - INFO - Epoch [4][3550/7390] lr: 1.000e-02, eta: 4:03:52, time: 0.238, data_time: 0.010, memory: 22169, loss_cls: 7.0362, loss_bbox: 0.7386, loss_centerness: 0.6508, loss: 8.4255 2022-09-29 03:16:31,187 - mmdet - INFO - Epoch [4][3600/7390] lr: 1.000e-02, eta: 4:03:40, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0336, loss_bbox: 0.7357, loss_centerness: 0.6511, loss: 8.4204 2022-09-29 03:16:43,079 - mmdet - INFO - Epoch [4][3650/7390] lr: 1.000e-02, eta: 4:03:29, time: 0.238, data_time: 0.010, memory: 22169, loss_cls: 7.0264, loss_bbox: 0.7343, loss_centerness: 0.6509, loss: 8.4116 2022-09-29 03:16:54,681 - mmdet - INFO - Epoch [4][3700/7390] lr: 1.000e-02, eta: 4:03:18, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0302, loss_bbox: 0.7343, loss_centerness: 0.6508, loss: 8.4152 2022-09-29 03:17:06,244 - mmdet - INFO - Epoch [4][3750/7390] lr: 1.000e-02, eta: 4:03:06, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0350, loss_bbox: 0.7367, loss_centerness: 0.6514, loss: 8.4231 2022-09-29 03:17:17,802 - mmdet - INFO - Epoch [4][3800/7390] lr: 1.000e-02, eta: 4:02:54, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0370, loss_bbox: 0.7348, loss_centerness: 0.6510, loss: 8.4227 2022-09-29 03:17:29,265 - mmdet - INFO - Epoch [4][3850/7390] lr: 1.000e-02, eta: 4:02:42, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0299, loss_bbox: 0.7357, loss_centerness: 0.6506, loss: 8.4162 2022-09-29 03:17:40,864 - mmdet - INFO - Epoch [4][3900/7390] lr: 1.000e-02, eta: 4:02:31, time: 0.232, data_time: 0.010, memory: 22169, loss_cls: 7.0263, loss_bbox: 0.7357, loss_centerness: 0.6515, loss: 8.4134 2022-09-29 03:17:52,704 - mmdet - INFO - Epoch [4][3950/7390] lr: 1.000e-02, eta: 4:02:20, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0303, loss_bbox: 0.7358, loss_centerness: 0.6513, loss: 8.4174 2022-09-29 03:18:04,271 - mmdet - INFO - Epoch [4][4000/7390] lr: 1.000e-02, eta: 4:02:08, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0270, loss_bbox: 0.7332, loss_centerness: 0.6510, loss: 8.4113 2022-09-29 03:18:15,938 - mmdet - INFO - Epoch [4][4050/7390] lr: 1.000e-02, eta: 4:01:56, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0257, loss_bbox: 0.7343, loss_centerness: 0.6510, loss: 8.4109 2022-09-29 03:18:27,596 - mmdet - INFO - Epoch [4][4100/7390] lr: 1.000e-02, eta: 4:01:45, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0284, loss_bbox: 0.7337, loss_centerness: 0.6515, loss: 8.4136 2022-09-29 03:18:39,278 - mmdet - INFO - Epoch [4][4150/7390] lr: 1.000e-02, eta: 4:01:33, time: 0.234, data_time: 0.010, memory: 22169, loss_cls: 7.0362, loss_bbox: 0.7346, loss_centerness: 0.6508, loss: 8.4215 2022-09-29 03:18:50,959 - mmdet - INFO - Epoch [4][4200/7390] lr: 1.000e-02, eta: 4:01:22, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0275, loss_bbox: 0.7337, loss_centerness: 0.6510, loss: 8.4122 2022-09-29 03:19:02,627 - mmdet - INFO - Epoch [4][4250/7390] lr: 1.000e-02, eta: 4:01:10, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0235, loss_bbox: 0.7358, loss_centerness: 0.6510, loss: 8.4104 2022-09-29 03:19:14,266 - mmdet - INFO - Epoch [4][4300/7390] lr: 1.000e-02, eta: 4:00:59, time: 0.233, data_time: 0.010, memory: 22169, loss_cls: 7.0314, loss_bbox: 0.7339, loss_centerness: 0.6511, loss: 8.4163 2022-09-29 03:19:25,908 - mmdet - INFO - Epoch [4][4350/7390] lr: 1.000e-02, eta: 4:00:47, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0328, loss_bbox: 0.7362, loss_centerness: 0.6513, loss: 8.4202 2022-09-29 03:19:37,501 - mmdet - INFO - Epoch [4][4400/7390] lr: 1.000e-02, eta: 4:00:35, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0228, loss_bbox: 0.7338, loss_centerness: 0.6511, loss: 8.4077 2022-09-29 03:19:49,103 - mmdet - INFO - Epoch [4][4450/7390] lr: 1.000e-02, eta: 4:00:24, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0317, loss_bbox: 0.7399, loss_centerness: 0.6513, loss: 8.4228 2022-09-29 03:20:00,718 - mmdet - INFO - Epoch [4][4500/7390] lr: 1.000e-02, eta: 4:00:12, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0327, loss_bbox: 0.7354, loss_centerness: 0.6512, loss: 8.4193 2022-09-29 03:20:12,386 - mmdet - INFO - Epoch [4][4550/7390] lr: 1.000e-02, eta: 4:00:01, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0205, loss_bbox: 0.7374, loss_centerness: 0.6510, loss: 8.4089 2022-09-29 03:20:24,146 - mmdet - INFO - Epoch [4][4600/7390] lr: 1.000e-02, eta: 3:59:49, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0281, loss_bbox: 0.7339, loss_centerness: 0.6509, loss: 8.4129 2022-09-29 03:20:35,910 - mmdet - INFO - Epoch [4][4650/7390] lr: 1.000e-02, eta: 3:59:38, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0342, loss_bbox: 0.7352, loss_centerness: 0.6506, loss: 8.4201 2022-09-29 03:20:47,511 - mmdet - INFO - Epoch [4][4700/7390] lr: 1.000e-02, eta: 3:59:26, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0249, loss_bbox: 0.7357, loss_centerness: 0.6507, loss: 8.4112 2022-09-29 03:20:59,225 - mmdet - INFO - Epoch [4][4750/7390] lr: 1.000e-02, eta: 3:59:15, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0264, loss_bbox: 0.7371, loss_centerness: 0.6512, loss: 8.4146 2022-09-29 03:21:10,835 - mmdet - INFO - Epoch [4][4800/7390] lr: 1.000e-02, eta: 3:59:03, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0274, loss_bbox: 0.7379, loss_centerness: 0.6509, loss: 8.4162 2022-09-29 03:21:22,393 - mmdet - INFO - Epoch [4][4850/7390] lr: 1.000e-02, eta: 3:58:51, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0336, loss_bbox: 0.7346, loss_centerness: 0.6507, loss: 8.4189 2022-09-29 03:21:33,943 - mmdet - INFO - Epoch [4][4900/7390] lr: 1.000e-02, eta: 3:58:40, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0249, loss_bbox: 0.7366, loss_centerness: 0.6514, loss: 8.4130 2022-09-29 03:21:45,620 - mmdet - INFO - Epoch [4][4950/7390] lr: 1.000e-02, eta: 3:58:28, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0347, loss_bbox: 0.7339, loss_centerness: 0.6508, loss: 8.4194 2022-09-29 03:21:57,280 - mmdet - INFO - Epoch [4][5000/7390] lr: 1.000e-02, eta: 3:58:17, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0365, loss_bbox: 0.7357, loss_centerness: 0.6510, loss: 8.4232 2022-09-29 03:22:09,059 - mmdet - INFO - Epoch [4][5050/7390] lr: 1.000e-02, eta: 3:58:05, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0233, loss_bbox: 0.7325, loss_centerness: 0.6512, loss: 8.4070 2022-09-29 03:22:20,530 - mmdet - INFO - Epoch [4][5100/7390] lr: 1.000e-02, eta: 3:57:53, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0283, loss_bbox: 0.7390, loss_centerness: 0.6514, loss: 8.4187 2022-09-29 03:22:31,984 - mmdet - INFO - Epoch [4][5150/7390] lr: 1.000e-02, eta: 3:57:41, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0315, loss_bbox: 0.7368, loss_centerness: 0.6511, loss: 8.4194 2022-09-29 03:22:43,596 - mmdet - INFO - Epoch [4][5200/7390] lr: 1.000e-02, eta: 3:57:30, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0346, loss_bbox: 0.7375, loss_centerness: 0.6515, loss: 8.4236 2022-09-29 03:22:55,072 - mmdet - INFO - Epoch [4][5250/7390] lr: 1.000e-02, eta: 3:57:18, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0325, loss_bbox: 0.7366, loss_centerness: 0.6513, loss: 8.4204 2022-09-29 03:23:06,563 - mmdet - INFO - Epoch [4][5300/7390] lr: 1.000e-02, eta: 3:57:06, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0327, loss_bbox: 0.7309, loss_centerness: 0.6511, loss: 8.4147 2022-09-29 03:23:18,171 - mmdet - INFO - Epoch [4][5350/7390] lr: 1.000e-02, eta: 3:56:54, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0296, loss_bbox: 0.7378, loss_centerness: 0.6512, loss: 8.4186 2022-09-29 03:23:29,654 - mmdet - INFO - Epoch [4][5400/7390] lr: 1.000e-02, eta: 3:56:42, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0211, loss_bbox: 0.7374, loss_centerness: 0.6509, loss: 8.4094 2022-09-29 03:23:41,254 - mmdet - INFO - Epoch [4][5450/7390] lr: 1.000e-02, eta: 3:56:31, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0250, loss_bbox: 0.7343, loss_centerness: 0.6508, loss: 8.4101 2022-09-29 03:23:52,837 - mmdet - INFO - Epoch [4][5500/7390] lr: 1.000e-02, eta: 3:56:19, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0314, loss_bbox: 0.7385, loss_centerness: 0.6511, loss: 8.4209 2022-09-29 03:24:04,559 - mmdet - INFO - Epoch [4][5550/7390] lr: 1.000e-02, eta: 3:56:08, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0140, loss_bbox: 0.7343, loss_centerness: 0.6497, loss: 8.3980 2022-09-29 03:24:16,208 - mmdet - INFO - Epoch [4][5600/7390] lr: 1.000e-02, eta: 3:55:56, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0295, loss_bbox: 0.7339, loss_centerness: 0.6508, loss: 8.4141 2022-09-29 03:24:27,987 - mmdet - INFO - Epoch [4][5650/7390] lr: 1.000e-02, eta: 3:55:45, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0234, loss_bbox: 0.7353, loss_centerness: 0.6508, loss: 8.4096 2022-09-29 03:24:39,494 - mmdet - INFO - Epoch [4][5700/7390] lr: 1.000e-02, eta: 3:55:33, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0347, loss_bbox: 0.7316, loss_centerness: 0.6509, loss: 8.4173 2022-09-29 03:24:51,044 - mmdet - INFO - Epoch [4][5750/7390] lr: 1.000e-02, eta: 3:55:21, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0318, loss_bbox: 0.7356, loss_centerness: 0.6509, loss: 8.4182 2022-09-29 03:25:02,674 - mmdet - INFO - Epoch [4][5800/7390] lr: 1.000e-02, eta: 3:55:10, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0326, loss_bbox: 0.7390, loss_centerness: 0.6510, loss: 8.4227 2022-09-29 03:25:14,281 - mmdet - INFO - Epoch [4][5850/7390] lr: 1.000e-02, eta: 3:54:58, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0212, loss_bbox: 0.7352, loss_centerness: 0.6517, loss: 8.4081 2022-09-29 03:25:25,882 - mmdet - INFO - Epoch [4][5900/7390] lr: 1.000e-02, eta: 3:54:46, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0356, loss_bbox: 0.7378, loss_centerness: 0.6508, loss: 8.4241 2022-09-29 03:25:37,648 - mmdet - INFO - Epoch [4][5950/7390] lr: 1.000e-02, eta: 3:54:35, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0264, loss_bbox: 0.7351, loss_centerness: 0.6510, loss: 8.4125 2022-09-29 03:25:49,426 - mmdet - INFO - Epoch [4][6000/7390] lr: 1.000e-02, eta: 3:54:24, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0268, loss_bbox: 0.7402, loss_centerness: 0.6508, loss: 8.4177 2022-09-29 03:26:01,110 - mmdet - INFO - Epoch [4][6050/7390] lr: 1.000e-02, eta: 3:54:12, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0204, loss_bbox: 0.7363, loss_centerness: 0.6510, loss: 8.4076 2022-09-29 03:26:12,832 - mmdet - INFO - Epoch [4][6100/7390] lr: 1.000e-02, eta: 3:54:01, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0204, loss_bbox: 0.7393, loss_centerness: 0.6511, loss: 8.4108 2022-09-29 03:26:24,590 - mmdet - INFO - Epoch [4][6150/7390] lr: 1.000e-02, eta: 3:53:49, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0077, loss_bbox: 0.7344, loss_centerness: 0.6495, loss: 8.3916 2022-09-29 03:26:36,136 - mmdet - INFO - Epoch [4][6200/7390] lr: 1.000e-02, eta: 3:53:38, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0232, loss_bbox: 0.7384, loss_centerness: 0.6512, loss: 8.4128 2022-09-29 03:26:47,743 - mmdet - INFO - Epoch [4][6250/7390] lr: 1.000e-02, eta: 3:53:26, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0299, loss_bbox: 0.7343, loss_centerness: 0.6512, loss: 8.4155 2022-09-29 03:26:59,120 - mmdet - INFO - Epoch [4][6300/7390] lr: 1.000e-02, eta: 3:53:14, time: 0.227, data_time: 0.009, memory: 22169, loss_cls: 7.0305, loss_bbox: 0.7353, loss_centerness: 0.6515, loss: 8.4173 2022-09-29 03:27:10,752 - mmdet - INFO - Epoch [4][6350/7390] lr: 1.000e-02, eta: 3:53:02, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0301, loss_bbox: 0.7351, loss_centerness: 0.6512, loss: 8.4164 2022-09-29 03:27:22,243 - mmdet - INFO - Epoch [4][6400/7390] lr: 1.000e-02, eta: 3:52:50, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0261, loss_bbox: 0.7335, loss_centerness: 0.6510, loss: 8.4106 2022-09-29 03:27:33,826 - mmdet - INFO - Epoch [4][6450/7390] lr: 1.000e-02, eta: 3:52:39, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0247, loss_bbox: 0.7307, loss_centerness: 0.6509, loss: 8.4063 2022-09-29 03:27:45,434 - mmdet - INFO - Epoch [4][6500/7390] lr: 1.000e-02, eta: 3:52:27, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0154, loss_bbox: 0.7350, loss_centerness: 0.6506, loss: 8.4010 2022-09-29 03:27:57,083 - mmdet - INFO - Epoch [4][6550/7390] lr: 1.000e-02, eta: 3:52:15, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0330, loss_bbox: 0.7328, loss_centerness: 0.6508, loss: 8.4165 2022-09-29 03:28:08,654 - mmdet - INFO - Epoch [4][6600/7390] lr: 1.000e-02, eta: 3:52:04, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0256, loss_bbox: 0.7328, loss_centerness: 0.6508, loss: 8.4091 2022-09-29 03:28:20,366 - mmdet - INFO - Epoch [4][6650/7390] lr: 1.000e-02, eta: 3:51:52, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0224, loss_bbox: 0.7349, loss_centerness: 0.6511, loss: 8.4084 2022-09-29 03:28:31,909 - mmdet - INFO - Epoch [4][6700/7390] lr: 1.000e-02, eta: 3:51:40, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0276, loss_bbox: 0.7326, loss_centerness: 0.6512, loss: 8.4114 2022-09-29 03:28:43,646 - mmdet - INFO - Epoch [4][6750/7390] lr: 1.000e-02, eta: 3:51:29, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0230, loss_bbox: 0.7341, loss_centerness: 0.6517, loss: 8.4089 2022-09-29 03:28:55,262 - mmdet - INFO - Epoch [4][6800/7390] lr: 1.000e-02, eta: 3:51:17, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0261, loss_bbox: 0.7370, loss_centerness: 0.6509, loss: 8.4140 2022-09-29 03:29:07,062 - mmdet - INFO - Epoch [4][6850/7390] lr: 1.000e-02, eta: 3:51:06, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0284, loss_bbox: 0.7336, loss_centerness: 0.6507, loss: 8.4126 2022-09-29 03:29:18,717 - mmdet - INFO - Epoch [4][6900/7390] lr: 1.000e-02, eta: 3:50:55, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0236, loss_bbox: 0.7362, loss_centerness: 0.6509, loss: 8.4107 2022-09-29 03:29:30,278 - mmdet - INFO - Epoch [4][6950/7390] lr: 1.000e-02, eta: 3:50:43, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0245, loss_bbox: 0.7390, loss_centerness: 0.6502, loss: 8.4137 2022-09-29 03:29:41,912 - mmdet - INFO - Epoch [4][7000/7390] lr: 1.000e-02, eta: 3:50:31, time: 0.233, data_time: 0.010, memory: 22169, loss_cls: 7.0203, loss_bbox: 0.7335, loss_centerness: 0.6509, loss: 8.4047 2022-09-29 03:29:53,519 - mmdet - INFO - Epoch [4][7050/7390] lr: 1.000e-02, eta: 3:50:20, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0235, loss_bbox: 0.7350, loss_centerness: 0.6509, loss: 8.4094 2022-09-29 03:30:05,132 - mmdet - INFO - Epoch [4][7100/7390] lr: 1.000e-02, eta: 3:50:08, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0319, loss_bbox: 0.7345, loss_centerness: 0.6514, loss: 8.4178 2022-09-29 03:30:16,702 - mmdet - INFO - Epoch [4][7150/7390] lr: 1.000e-02, eta: 3:49:56, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0225, loss_bbox: 0.7371, loss_centerness: 0.6510, loss: 8.4107 2022-09-29 03:30:28,159 - mmdet - INFO - Epoch [4][7200/7390] lr: 1.000e-02, eta: 3:49:44, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0269, loss_bbox: 0.7310, loss_centerness: 0.6508, loss: 8.4086 2022-09-29 03:30:39,754 - mmdet - INFO - Epoch [4][7250/7390] lr: 1.000e-02, eta: 3:49:33, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0193, loss_bbox: 0.7327, loss_centerness: 0.6511, loss: 8.4031 2022-09-29 03:30:51,615 - mmdet - INFO - Epoch [4][7300/7390] lr: 1.000e-02, eta: 3:49:21, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0223, loss_bbox: 0.7374, loss_centerness: 0.6511, loss: 8.4108 2022-09-29 03:31:03,246 - mmdet - INFO - Epoch [4][7350/7390] lr: 1.000e-02, eta: 3:49:10, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0324, loss_bbox: 0.7378, loss_centerness: 0.6509, loss: 8.4211 2022-09-29 03:31:12,796 - mmdet - INFO - Saving checkpoint at 4 epochs 2022-09-29 03:31:28,297 - mmdet - INFO - Epoch [5][50/7390] lr: 1.000e-02, eta: 3:48:36, time: 0.291, data_time: 0.070, memory: 22169, loss_cls: 7.0132, loss_bbox: 0.7351, loss_centerness: 0.6505, loss: 8.3988 2022-09-29 03:31:39,915 - mmdet - INFO - Epoch [5][100/7390] lr: 1.000e-02, eta: 3:48:25, time: 0.232, data_time: 0.010, memory: 22169, loss_cls: 7.0244, loss_bbox: 0.7350, loss_centerness: 0.6511, loss: 8.4104 2022-09-29 03:31:51,504 - mmdet - INFO - Epoch [5][150/7390] lr: 1.000e-02, eta: 3:48:13, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0258, loss_bbox: 0.7372, loss_centerness: 0.6515, loss: 8.4144 2022-09-29 03:32:03,148 - mmdet - INFO - Epoch [5][200/7390] lr: 1.000e-02, eta: 3:48:01, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0236, loss_bbox: 0.7346, loss_centerness: 0.6511, loss: 8.4094 2022-09-29 03:32:14,831 - mmdet - INFO - Epoch [5][250/7390] lr: 1.000e-02, eta: 3:47:50, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0274, loss_bbox: 0.7342, loss_centerness: 0.6510, loss: 8.4125 2022-09-29 03:32:26,547 - mmdet - INFO - Epoch [5][300/7390] lr: 1.000e-02, eta: 3:47:39, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0234, loss_bbox: 0.7357, loss_centerness: 0.6505, loss: 8.4096 2022-09-29 03:32:38,228 - mmdet - INFO - Epoch [5][350/7390] lr: 1.000e-02, eta: 3:47:27, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0240, loss_bbox: 0.7332, loss_centerness: 0.6501, loss: 8.4073 2022-09-29 03:32:49,903 - mmdet - INFO - Epoch [5][400/7390] lr: 1.000e-02, eta: 3:47:16, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0240, loss_bbox: 0.7317, loss_centerness: 0.6511, loss: 8.4068 2022-09-29 03:33:01,504 - mmdet - INFO - Epoch [5][450/7390] lr: 1.000e-02, eta: 3:47:04, time: 0.232, data_time: 0.010, memory: 22169, loss_cls: 7.0182, loss_bbox: 0.7333, loss_centerness: 0.6507, loss: 8.4022 2022-09-29 03:33:13,305 - mmdet - INFO - Epoch [5][500/7390] lr: 1.000e-02, eta: 3:46:53, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0337, loss_bbox: 0.7334, loss_centerness: 0.6509, loss: 8.4180 2022-09-29 03:33:24,915 - mmdet - INFO - Epoch [5][550/7390] lr: 1.000e-02, eta: 3:46:41, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0153, loss_bbox: 0.7321, loss_centerness: 0.6509, loss: 8.3983 2022-09-29 03:33:36,597 - mmdet - INFO - Epoch [5][600/7390] lr: 1.000e-02, eta: 3:46:30, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0200, loss_bbox: 0.7358, loss_centerness: 0.6509, loss: 8.4067 2022-09-29 03:33:48,437 - mmdet - INFO - Epoch [5][650/7390] lr: 1.000e-02, eta: 3:46:19, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0244, loss_bbox: 0.7359, loss_centerness: 0.6513, loss: 8.4116 2022-09-29 03:34:00,039 - mmdet - INFO - Epoch [5][700/7390] lr: 1.000e-02, eta: 3:46:07, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0264, loss_bbox: 0.7329, loss_centerness: 0.6511, loss: 8.4104 2022-09-29 03:34:11,658 - mmdet - INFO - Epoch [5][750/7390] lr: 1.000e-02, eta: 3:45:55, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0191, loss_bbox: 0.7343, loss_centerness: 0.6512, loss: 8.4047 2022-09-29 03:34:23,280 - mmdet - INFO - Epoch [5][800/7390] lr: 1.000e-02, eta: 3:45:44, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0217, loss_bbox: 0.7327, loss_centerness: 0.6510, loss: 8.4054 2022-09-29 03:34:34,997 - mmdet - INFO - Epoch [5][850/7390] lr: 1.000e-02, eta: 3:45:32, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0246, loss_bbox: 0.7333, loss_centerness: 0.6513, loss: 8.4093 2022-09-29 03:34:46,562 - mmdet - INFO - Epoch [5][900/7390] lr: 1.000e-02, eta: 3:45:21, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0206, loss_bbox: 0.7313, loss_centerness: 0.6506, loss: 8.4026 2022-09-29 03:34:58,255 - mmdet - INFO - Epoch [5][950/7390] lr: 1.000e-02, eta: 3:45:09, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0174, loss_bbox: 0.7334, loss_centerness: 0.6511, loss: 8.4019 2022-09-29 03:35:10,001 - mmdet - INFO - Epoch [5][1000/7390] lr: 1.000e-02, eta: 3:44:58, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0210, loss_bbox: 0.7338, loss_centerness: 0.6514, loss: 8.4061 2022-09-29 03:35:21,581 - mmdet - INFO - Epoch [5][1050/7390] lr: 1.000e-02, eta: 3:44:46, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0021, loss_bbox: 0.7333, loss_centerness: 0.6490, loss: 8.3844 2022-09-29 03:35:33,142 - mmdet - INFO - Epoch [5][1100/7390] lr: 1.000e-02, eta: 3:44:34, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0310, loss_bbox: 0.7367, loss_centerness: 0.6516, loss: 8.4192 2022-09-29 03:35:48,382 - mmdet - INFO - Epoch [5][1150/7390] lr: 1.000e-02, eta: 3:44:30, time: 0.305, data_time: 0.009, memory: 22169, loss_cls: 7.0164, loss_bbox: 0.7340, loss_centerness: 0.6509, loss: 8.4013 2022-09-29 03:36:00,108 - mmdet - INFO - Epoch [5][1200/7390] lr: 1.000e-02, eta: 3:44:18, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0349, loss_bbox: 0.7341, loss_centerness: 0.6513, loss: 8.4203 2022-09-29 03:36:11,874 - mmdet - INFO - Epoch [5][1250/7390] lr: 1.000e-02, eta: 3:44:07, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0250, loss_bbox: 0.7339, loss_centerness: 0.6515, loss: 8.4104 2022-09-29 03:36:23,547 - mmdet - INFO - Epoch [5][1300/7390] lr: 1.000e-02, eta: 3:43:55, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0144, loss_bbox: 0.7321, loss_centerness: 0.6504, loss: 8.3968 2022-09-29 03:36:35,378 - mmdet - INFO - Epoch [5][1350/7390] lr: 1.000e-02, eta: 3:43:44, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0165, loss_bbox: 0.7341, loss_centerness: 0.6503, loss: 8.4010 2022-09-29 03:36:47,291 - mmdet - INFO - Epoch [5][1400/7390] lr: 1.000e-02, eta: 3:43:33, time: 0.238, data_time: 0.009, memory: 22169, loss_cls: 7.0243, loss_bbox: 0.7328, loss_centerness: 0.6517, loss: 8.4088 2022-09-29 03:36:59,006 - mmdet - INFO - Epoch [5][1450/7390] lr: 1.000e-02, eta: 3:43:22, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0142, loss_bbox: 0.7302, loss_centerness: 0.6505, loss: 8.3949 2022-09-29 03:37:10,812 - mmdet - INFO - Epoch [5][1500/7390] lr: 1.000e-02, eta: 3:43:10, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0165, loss_bbox: 0.7333, loss_centerness: 0.6507, loss: 8.4005 2022-09-29 03:37:22,477 - mmdet - INFO - Epoch [5][1550/7390] lr: 1.000e-02, eta: 3:42:59, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0166, loss_bbox: 0.7310, loss_centerness: 0.6505, loss: 8.3981 2022-09-29 03:37:34,155 - mmdet - INFO - Epoch [5][1600/7390] lr: 1.000e-02, eta: 3:42:47, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0262, loss_bbox: 0.7336, loss_centerness: 0.6513, loss: 8.4110 2022-09-29 03:37:45,610 - mmdet - INFO - Epoch [5][1650/7390] lr: 1.000e-02, eta: 3:42:35, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0197, loss_bbox: 0.7318, loss_centerness: 0.6515, loss: 8.4029 2022-09-29 03:37:57,273 - mmdet - INFO - Epoch [5][1700/7390] lr: 1.000e-02, eta: 3:42:24, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0124, loss_bbox: 0.7341, loss_centerness: 0.6503, loss: 8.3969 2022-09-29 03:38:08,766 - mmdet - INFO - Epoch [5][1750/7390] lr: 1.000e-02, eta: 3:42:12, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0122, loss_bbox: 0.7321, loss_centerness: 0.6511, loss: 8.3955 2022-09-29 03:38:20,513 - mmdet - INFO - Epoch [5][1800/7390] lr: 1.000e-02, eta: 3:42:01, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0154, loss_bbox: 0.7341, loss_centerness: 0.6507, loss: 8.4002 2022-09-29 03:38:31,987 - mmdet - INFO - Epoch [5][1850/7390] lr: 1.000e-02, eta: 3:41:49, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0284, loss_bbox: 0.7349, loss_centerness: 0.6510, loss: 8.4142 2022-09-29 03:38:43,640 - mmdet - INFO - Epoch [5][1900/7390] lr: 1.000e-02, eta: 3:41:37, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0164, loss_bbox: 0.7327, loss_centerness: 0.6508, loss: 8.4000 2022-09-29 03:38:55,149 - mmdet - INFO - Epoch [5][1950/7390] lr: 1.000e-02, eta: 3:41:25, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0169, loss_bbox: 0.7313, loss_centerness: 0.6512, loss: 8.3994 2022-09-29 03:39:06,801 - mmdet - INFO - Epoch [5][2000/7390] lr: 1.000e-02, eta: 3:41:14, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0111, loss_bbox: 0.7344, loss_centerness: 0.6513, loss: 8.3968 2022-09-29 03:39:18,361 - mmdet - INFO - Epoch [5][2050/7390] lr: 1.000e-02, eta: 3:41:02, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0206, loss_bbox: 0.7368, loss_centerness: 0.6505, loss: 8.4079 2022-09-29 03:39:29,917 - mmdet - INFO - Epoch [5][2100/7390] lr: 1.000e-02, eta: 3:40:50, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0253, loss_bbox: 0.7341, loss_centerness: 0.6510, loss: 8.4103 2022-09-29 03:39:41,656 - mmdet - INFO - Epoch [5][2150/7390] lr: 1.000e-02, eta: 3:40:39, time: 0.235, data_time: 0.008, memory: 22169, loss_cls: 7.0150, loss_bbox: 0.7322, loss_centerness: 0.6509, loss: 8.3982 2022-09-29 03:39:53,442 - mmdet - INFO - Epoch [5][2200/7390] lr: 1.000e-02, eta: 3:40:28, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0263, loss_bbox: 0.7313, loss_centerness: 0.6505, loss: 8.4082 2022-09-29 03:40:05,158 - mmdet - INFO - Epoch [5][2250/7390] lr: 1.000e-02, eta: 3:40:16, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0258, loss_bbox: 0.7299, loss_centerness: 0.6514, loss: 8.4072 2022-09-29 03:40:16,728 - mmdet - INFO - Epoch [5][2300/7390] lr: 1.000e-02, eta: 3:40:04, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0312, loss_bbox: 0.7317, loss_centerness: 0.6514, loss: 8.4143 2022-09-29 03:40:28,395 - mmdet - INFO - Epoch [5][2350/7390] lr: 1.000e-02, eta: 3:39:53, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0206, loss_bbox: 0.7339, loss_centerness: 0.6511, loss: 8.4056 2022-09-29 03:40:40,187 - mmdet - INFO - Epoch [5][2400/7390] lr: 1.000e-02, eta: 3:39:42, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0273, loss_bbox: 0.7325, loss_centerness: 0.6508, loss: 8.4107 2022-09-29 03:40:51,803 - mmdet - INFO - Epoch [5][2450/7390] lr: 1.000e-02, eta: 3:39:30, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0217, loss_bbox: 0.7359, loss_centerness: 0.6516, loss: 8.4092 2022-09-29 03:41:03,451 - mmdet - INFO - Epoch [5][2500/7390] lr: 1.000e-02, eta: 3:39:18, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0229, loss_bbox: 0.7328, loss_centerness: 0.6509, loss: 8.4065 2022-09-29 03:41:15,029 - mmdet - INFO - Epoch [5][2550/7390] lr: 1.000e-02, eta: 3:39:07, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0188, loss_bbox: 0.7383, loss_centerness: 0.6510, loss: 8.4081 2022-09-29 03:41:26,770 - mmdet - INFO - Epoch [5][2600/7390] lr: 1.000e-02, eta: 3:38:55, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0196, loss_bbox: 0.7319, loss_centerness: 0.6507, loss: 8.4021 2022-09-29 03:41:38,304 - mmdet - INFO - Epoch [5][2650/7390] lr: 1.000e-02, eta: 3:38:43, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0203, loss_bbox: 0.7368, loss_centerness: 0.6515, loss: 8.4086 2022-09-29 03:41:49,967 - mmdet - INFO - Epoch [5][2700/7390] lr: 1.000e-02, eta: 3:38:32, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0247, loss_bbox: 0.7334, loss_centerness: 0.6506, loss: 8.4087 2022-09-29 03:42:01,488 - mmdet - INFO - Epoch [5][2750/7390] lr: 1.000e-02, eta: 3:38:20, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0180, loss_bbox: 0.7339, loss_centerness: 0.6506, loss: 8.4025 2022-09-29 03:42:13,082 - mmdet - INFO - Epoch [5][2800/7390] lr: 1.000e-02, eta: 3:38:08, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0130, loss_bbox: 0.7327, loss_centerness: 0.6516, loss: 8.3973 2022-09-29 03:42:24,738 - mmdet - INFO - Epoch [5][2850/7390] lr: 1.000e-02, eta: 3:37:57, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0171, loss_bbox: 0.7338, loss_centerness: 0.6508, loss: 8.4017 2022-09-29 03:42:36,315 - mmdet - INFO - Epoch [5][2900/7390] lr: 1.000e-02, eta: 3:37:45, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0172, loss_bbox: 0.7350, loss_centerness: 0.6513, loss: 8.4035 2022-09-29 03:42:47,944 - mmdet - INFO - Epoch [5][2950/7390] lr: 1.000e-02, eta: 3:37:34, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0153, loss_bbox: 0.7301, loss_centerness: 0.6506, loss: 8.3961 2022-09-29 03:42:59,489 - mmdet - INFO - Epoch [5][3000/7390] lr: 1.000e-02, eta: 3:37:22, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0220, loss_bbox: 0.7339, loss_centerness: 0.6514, loss: 8.4074 2022-09-29 03:43:11,148 - mmdet - INFO - Epoch [5][3050/7390] lr: 1.000e-02, eta: 3:37:10, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0246, loss_bbox: 0.7355, loss_centerness: 0.6506, loss: 8.4107 2022-09-29 03:43:22,742 - mmdet - INFO - Epoch [5][3100/7390] lr: 1.000e-02, eta: 3:36:59, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0200, loss_bbox: 0.7332, loss_centerness: 0.6502, loss: 8.4034 2022-09-29 03:43:34,360 - mmdet - INFO - Epoch [5][3150/7390] lr: 1.000e-02, eta: 3:36:47, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0075, loss_bbox: 0.7380, loss_centerness: 0.6490, loss: 8.3945 2022-09-29 03:43:45,987 - mmdet - INFO - Epoch [5][3200/7390] lr: 1.000e-02, eta: 3:36:35, time: 0.233, data_time: 0.010, memory: 22169, loss_cls: 7.0246, loss_bbox: 0.7347, loss_centerness: 0.6504, loss: 8.4096 2022-09-29 03:43:57,598 - mmdet - INFO - Epoch [5][3250/7390] lr: 1.000e-02, eta: 3:36:24, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0177, loss_bbox: 0.7344, loss_centerness: 0.6511, loss: 8.4031 2022-09-29 03:44:09,366 - mmdet - INFO - Epoch [5][3300/7390] lr: 1.000e-02, eta: 3:36:12, time: 0.236, data_time: 0.010, memory: 22169, loss_cls: 7.0138, loss_bbox: 0.7313, loss_centerness: 0.6512, loss: 8.3964 2022-09-29 03:44:20,910 - mmdet - INFO - Epoch [5][3350/7390] lr: 1.000e-02, eta: 3:36:01, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0180, loss_bbox: 0.7309, loss_centerness: 0.6514, loss: 8.4004 2022-09-29 03:44:32,612 - mmdet - INFO - Epoch [5][3400/7390] lr: 1.000e-02, eta: 3:35:49, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0102, loss_bbox: 0.7350, loss_centerness: 0.6508, loss: 8.3960 2022-09-29 03:44:44,418 - mmdet - INFO - Epoch [5][3450/7390] lr: 1.000e-02, eta: 3:35:38, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0211, loss_bbox: 0.7334, loss_centerness: 0.6508, loss: 8.4053 2022-09-29 03:44:55,935 - mmdet - INFO - Epoch [5][3500/7390] lr: 1.000e-02, eta: 3:35:26, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0189, loss_bbox: 0.7333, loss_centerness: 0.6508, loss: 8.4030 2022-09-29 03:45:07,775 - mmdet - INFO - Epoch [5][3550/7390] lr: 1.000e-02, eta: 3:35:15, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0134, loss_bbox: 0.7347, loss_centerness: 0.6505, loss: 8.3987 2022-09-29 03:45:19,383 - mmdet - INFO - Epoch [5][3600/7390] lr: 1.000e-02, eta: 3:35:03, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0211, loss_bbox: 0.7346, loss_centerness: 0.6509, loss: 8.4066 2022-09-29 03:45:31,106 - mmdet - INFO - Epoch [5][3650/7390] lr: 1.000e-02, eta: 3:34:52, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0162, loss_bbox: 0.7322, loss_centerness: 0.6513, loss: 8.3997 2022-09-29 03:45:42,762 - mmdet - INFO - Epoch [5][3700/7390] lr: 1.000e-02, eta: 3:34:40, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0165, loss_bbox: 0.7340, loss_centerness: 0.6508, loss: 8.4013 2022-09-29 03:45:54,394 - mmdet - INFO - Epoch [5][3750/7390] lr: 1.000e-02, eta: 3:34:29, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0130, loss_bbox: 0.7336, loss_centerness: 0.6505, loss: 8.3971 2022-09-29 03:46:06,093 - mmdet - INFO - Epoch [5][3800/7390] lr: 1.000e-02, eta: 3:34:17, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0226, loss_bbox: 0.7351, loss_centerness: 0.6509, loss: 8.4086 2022-09-29 03:46:17,671 - mmdet - INFO - Epoch [5][3850/7390] lr: 1.000e-02, eta: 3:34:05, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0208, loss_bbox: 0.7346, loss_centerness: 0.6508, loss: 8.4062 2022-09-29 03:46:29,311 - mmdet - INFO - Epoch [5][3900/7390] lr: 1.000e-02, eta: 3:33:54, time: 0.233, data_time: 0.009, memory: 22169, loss_cls: 7.0122, loss_bbox: 0.7320, loss_centerness: 0.6507, loss: 8.3948 2022-09-29 03:46:41,157 - mmdet - INFO - Epoch [5][3950/7390] lr: 1.000e-02, eta: 3:33:43, time: 0.237, data_time: 0.009, memory: 22169, loss_cls: 7.0156, loss_bbox: 0.7361, loss_centerness: 0.6502, loss: 8.4018 2022-09-29 03:46:52,777 - mmdet - INFO - Epoch [5][4000/7390] lr: 1.000e-02, eta: 3:33:31, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0207, loss_bbox: 0.7334, loss_centerness: 0.6510, loss: 8.4051 2022-09-29 03:47:04,502 - mmdet - INFO - Epoch [5][4050/7390] lr: 1.000e-02, eta: 3:33:19, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0212, loss_bbox: 0.7336, loss_centerness: 0.6504, loss: 8.4051 2022-09-29 03:47:16,220 - mmdet - INFO - Epoch [5][4100/7390] lr: 1.000e-02, eta: 3:33:08, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0196, loss_bbox: 0.7296, loss_centerness: 0.6508, loss: 8.4000 2022-09-29 03:47:27,777 - mmdet - INFO - Epoch [5][4150/7390] lr: 1.000e-02, eta: 3:32:56, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0191, loss_bbox: 0.7324, loss_centerness: 0.6505, loss: 8.4020 2022-09-29 03:47:39,532 - mmdet - INFO - Epoch [5][4200/7390] lr: 1.000e-02, eta: 3:32:45, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0167, loss_bbox: 0.7321, loss_centerness: 0.6513, loss: 8.4000 2022-09-29 03:47:51,137 - mmdet - INFO - Epoch [5][4250/7390] lr: 1.000e-02, eta: 3:32:33, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0237, loss_bbox: 0.7309, loss_centerness: 0.6515, loss: 8.4061 2022-09-29 03:48:02,858 - mmdet - INFO - Epoch [5][4300/7390] lr: 1.000e-02, eta: 3:32:22, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0071, loss_bbox: 0.7330, loss_centerness: 0.6511, loss: 8.3912 2022-09-29 03:48:14,425 - mmdet - INFO - Epoch [5][4350/7390] lr: 1.000e-02, eta: 3:32:10, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0160, loss_bbox: 0.7324, loss_centerness: 0.6508, loss: 8.3992 2022-09-29 03:48:26,029 - mmdet - INFO - Epoch [5][4400/7390] lr: 1.000e-02, eta: 3:31:58, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0176, loss_bbox: 0.7343, loss_centerness: 0.6506, loss: 8.4026 2022-09-29 03:48:37,846 - mmdet - INFO - Epoch [5][4450/7390] lr: 1.000e-02, eta: 3:31:47, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0168, loss_bbox: 0.7327, loss_centerness: 0.6514, loss: 8.4009 2022-09-29 03:48:49,659 - mmdet - INFO - Epoch [5][4500/7390] lr: 1.000e-02, eta: 3:31:36, time: 0.236, data_time: 0.009, memory: 22169, loss_cls: 7.0276, loss_bbox: 0.7300, loss_centerness: 0.6513, loss: 8.4090 2022-09-29 03:49:01,174 - mmdet - INFO - Epoch [5][4550/7390] lr: 1.000e-02, eta: 3:31:24, time: 0.230, data_time: 0.009, memory: 22169, loss_cls: 7.0216, loss_bbox: 0.7337, loss_centerness: 0.6514, loss: 8.4067 2022-09-29 03:49:12,803 - mmdet - INFO - Epoch [5][4600/7390] lr: 1.000e-02, eta: 3:31:12, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0126, loss_bbox: 0.7326, loss_centerness: 0.6513, loss: 8.3964 2022-09-29 03:49:24,237 - mmdet - INFO - Epoch [5][4650/7390] lr: 1.000e-02, eta: 3:31:00, time: 0.229, data_time: 0.009, memory: 22169, loss_cls: 7.0166, loss_bbox: 0.7329, loss_centerness: 0.6510, loss: 8.4004 2022-09-29 03:49:35,925 - mmdet - INFO - Epoch [5][4700/7390] lr: 1.000e-02, eta: 3:30:49, time: 0.234, data_time: 0.010, memory: 22169, loss_cls: 7.0091, loss_bbox: 0.7378, loss_centerness: 0.6513, loss: 8.3982 2022-09-29 03:49:47,518 - mmdet - INFO - Epoch [5][4750/7390] lr: 1.000e-02, eta: 3:30:37, time: 0.232, data_time: 0.009, memory: 22169, loss_cls: 7.0278, loss_bbox: 0.7341, loss_centerness: 0.6517, loss: 8.4136 2022-09-29 03:49:59,202 - mmdet - INFO - Epoch [5][4800/7390] lr: 1.000e-02, eta: 3:30:26, time: 0.234, data_time: 0.009, memory: 22169, loss_cls: 7.0163, loss_bbox: 0.7344, loss_centerness: 0.6506, loss: 8.4013 2022-09-29 03:50:10,940 - mmdet - INFO - Epoch [5][4850/7390] lr: 1.000e-02, eta: 3:30:14, time: 0.235, data_time: 0.009, memory: 22169, loss_cls: 7.0264, loss_bbox: 0.7332, loss_centerness: 0.6513, loss: 8.4109 2022-09-29 03:50:22,503 - mmdet - INFO - Epoch [5][4900/7390] lr: 1.000e-02, eta: 3:30:03, time: 0.231, data_time: 0.009, memory: 22169, loss_cls: 7.0152, loss_bbox: 0.7346, loss_centerness: 0.6504, loss: 8.4002 2022-09-29 03:50:34,081 - mmdet - INFO - Epoch [5][4950/7390] lr: 1.000e-02, eta: 3:29:51, time: 0.231, data_time: 0.008, memory: 22169, loss_cls: 7.0201, loss_bbox: 0.7328, loss_centerness: 0.6508, loss: 8.4037 2022-09-29 03:50:45,939 - mmdet - INFO - Epoch [5][5000/7390] lr: 1.000e-02, eta: 3:29:40, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0164, loss_bbox: 0.7321, loss_centerness: 0.6504, loss: 8.3989 2022-09-29 03:50:57,707 - mmdet - INFO - Epoch [5][5050/7390] lr: 1.000e-02, eta: 3:29:28, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0185, loss_bbox: 0.7322, loss_centerness: 0.6513, loss: 8.4020 2022-09-29 03:51:09,356 - mmdet - INFO - Epoch [5][5100/7390] lr: 1.000e-02, eta: 3:29:17, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0179, loss_bbox: 0.7314, loss_centerness: 0.6503, loss: 8.3996 2022-09-29 03:51:21,068 - mmdet - INFO - Epoch [5][5150/7390] lr: 1.000e-02, eta: 3:29:05, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0158, loss_bbox: 0.7308, loss_centerness: 0.6513, loss: 8.3979 2022-09-29 03:51:32,647 - mmdet - INFO - Epoch [5][5200/7390] lr: 1.000e-02, eta: 3:28:53, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0128, loss_bbox: 0.7336, loss_centerness: 0.6505, loss: 8.3969 2022-09-29 03:51:44,279 - mmdet - INFO - Epoch [5][5250/7390] lr: 1.000e-02, eta: 3:28:42, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0170, loss_bbox: 0.7309, loss_centerness: 0.6512, loss: 8.3991 2022-09-29 03:51:56,109 - mmdet - INFO - Epoch [5][5300/7390] lr: 1.000e-02, eta: 3:28:31, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0135, loss_bbox: 0.7344, loss_centerness: 0.6509, loss: 8.3988 2022-09-29 03:52:07,939 - mmdet - INFO - Epoch [5][5350/7390] lr: 1.000e-02, eta: 3:28:19, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0202, loss_bbox: 0.7300, loss_centerness: 0.6511, loss: 8.4012 2022-09-29 03:52:19,473 - mmdet - INFO - Epoch [5][5400/7390] lr: 1.000e-02, eta: 3:28:07, time: 0.230, data_time: 0.008, memory: 22925, loss_cls: 7.0203, loss_bbox: 0.7325, loss_centerness: 0.6512, loss: 8.4041 2022-09-29 03:52:31,048 - mmdet - INFO - Epoch [5][5450/7390] lr: 1.000e-02, eta: 3:27:56, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0170, loss_bbox: 0.7328, loss_centerness: 0.6509, loss: 8.4007 2022-09-29 03:52:42,662 - mmdet - INFO - Epoch [5][5500/7390] lr: 1.000e-02, eta: 3:27:44, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0158, loss_bbox: 0.7337, loss_centerness: 0.6508, loss: 8.4003 2022-09-29 03:52:54,263 - mmdet - INFO - Epoch [5][5550/7390] lr: 1.000e-02, eta: 3:27:33, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0226, loss_bbox: 0.7374, loss_centerness: 0.6511, loss: 8.4112 2022-09-29 03:53:05,795 - mmdet - INFO - Epoch [5][5600/7390] lr: 1.000e-02, eta: 3:27:21, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0091, loss_bbox: 0.7336, loss_centerness: 0.6503, loss: 8.3930 2022-09-29 03:53:17,487 - mmdet - INFO - Epoch [5][5650/7390] lr: 1.000e-02, eta: 3:27:09, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0166, loss_bbox: 0.7352, loss_centerness: 0.6509, loss: 8.4027 2022-09-29 03:53:29,168 - mmdet - INFO - Epoch [5][5700/7390] lr: 1.000e-02, eta: 3:26:58, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0207, loss_bbox: 0.7348, loss_centerness: 0.6504, loss: 8.4059 2022-09-29 03:53:40,848 - mmdet - INFO - Epoch [5][5750/7390] lr: 1.000e-02, eta: 3:26:46, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0167, loss_bbox: 0.7323, loss_centerness: 0.6513, loss: 8.4003 2022-09-29 03:53:52,495 - mmdet - INFO - Epoch [5][5800/7390] lr: 1.000e-02, eta: 3:26:35, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 7.0119, loss_bbox: 0.7308, loss_centerness: 0.6514, loss: 8.3940 2022-09-29 03:54:04,152 - mmdet - INFO - Epoch [5][5850/7390] lr: 1.000e-02, eta: 3:26:23, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0229, loss_bbox: 0.7324, loss_centerness: 0.6508, loss: 8.4061 2022-09-29 03:54:15,655 - mmdet - INFO - Epoch [5][5900/7390] lr: 1.000e-02, eta: 3:26:11, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0248, loss_bbox: 0.7346, loss_centerness: 0.6512, loss: 8.4106 2022-09-29 03:54:27,181 - mmdet - INFO - Epoch [5][5950/7390] lr: 1.000e-02, eta: 3:25:59, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0207, loss_bbox: 0.7355, loss_centerness: 0.6517, loss: 8.4079 2022-09-29 03:54:38,795 - mmdet - INFO - Epoch [5][6000/7390] lr: 1.000e-02, eta: 3:25:48, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 7.0206, loss_bbox: 0.7384, loss_centerness: 0.6511, loss: 8.4101 2022-09-29 03:54:50,283 - mmdet - INFO - Epoch [5][6050/7390] lr: 1.000e-02, eta: 3:25:36, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0149, loss_bbox: 0.7322, loss_centerness: 0.6507, loss: 8.3977 2022-09-29 03:55:01,953 - mmdet - INFO - Epoch [5][6100/7390] lr: 1.000e-02, eta: 3:25:24, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0157, loss_bbox: 0.7322, loss_centerness: 0.6514, loss: 8.3993 2022-09-29 03:55:13,588 - mmdet - INFO - Epoch [5][6150/7390] lr: 1.000e-02, eta: 3:25:13, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0198, loss_bbox: 0.7318, loss_centerness: 0.6510, loss: 8.4027 2022-09-29 03:55:25,286 - mmdet - INFO - Epoch [5][6200/7390] lr: 1.000e-02, eta: 3:25:01, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0177, loss_bbox: 0.7330, loss_centerness: 0.6511, loss: 8.4019 2022-09-29 03:55:36,858 - mmdet - INFO - Epoch [5][6250/7390] lr: 1.000e-02, eta: 3:24:50, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0179, loss_bbox: 0.7366, loss_centerness: 0.6514, loss: 8.4059 2022-09-29 03:55:48,423 - mmdet - INFO - Epoch [5][6300/7390] lr: 1.000e-02, eta: 3:24:38, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0243, loss_bbox: 0.7347, loss_centerness: 0.6505, loss: 8.4095 2022-09-29 03:55:59,944 - mmdet - INFO - Epoch [5][6350/7390] lr: 1.000e-02, eta: 3:24:26, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0132, loss_bbox: 0.7345, loss_centerness: 0.6510, loss: 8.3988 2022-09-29 03:56:11,586 - mmdet - INFO - Epoch [5][6400/7390] lr: 1.000e-02, eta: 3:24:15, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0053, loss_bbox: 0.7326, loss_centerness: 0.6505, loss: 8.3884 2022-09-29 03:56:23,160 - mmdet - INFO - Epoch [5][6450/7390] lr: 1.000e-02, eta: 3:24:03, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0164, loss_bbox: 0.7314, loss_centerness: 0.6510, loss: 8.3987 2022-09-29 03:56:34,695 - mmdet - INFO - Epoch [5][6500/7390] lr: 1.000e-02, eta: 3:23:51, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0125, loss_bbox: 0.7334, loss_centerness: 0.6510, loss: 8.3968 2022-09-29 03:56:46,348 - mmdet - INFO - Epoch [5][6550/7390] lr: 1.000e-02, eta: 3:23:39, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 7.0219, loss_bbox: 0.7333, loss_centerness: 0.6510, loss: 8.4062 2022-09-29 03:56:57,817 - mmdet - INFO - Epoch [5][6600/7390] lr: 1.000e-02, eta: 3:23:28, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 7.0160, loss_bbox: 0.7310, loss_centerness: 0.6513, loss: 8.3984 2022-09-29 03:57:09,543 - mmdet - INFO - Epoch [5][6650/7390] lr: 1.000e-02, eta: 3:23:16, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0088, loss_bbox: 0.7299, loss_centerness: 0.6513, loss: 8.3900 2022-09-29 03:57:21,100 - mmdet - INFO - Epoch [5][6700/7390] lr: 1.000e-02, eta: 3:23:04, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9949, loss_bbox: 0.7301, loss_centerness: 0.6489, loss: 8.3739 2022-09-29 03:57:32,640 - mmdet - INFO - Epoch [5][6750/7390] lr: 1.000e-02, eta: 3:22:53, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0211, loss_bbox: 0.7325, loss_centerness: 0.6517, loss: 8.4053 2022-09-29 03:57:44,231 - mmdet - INFO - Epoch [5][6800/7390] lr: 1.000e-02, eta: 3:22:41, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0142, loss_bbox: 0.7312, loss_centerness: 0.6510, loss: 8.3964 2022-09-29 03:57:55,972 - mmdet - INFO - Epoch [5][6850/7390] lr: 1.000e-02, eta: 3:22:30, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0167, loss_bbox: 0.7326, loss_centerness: 0.6508, loss: 8.4001 2022-09-29 03:58:07,493 - mmdet - INFO - Epoch [5][6900/7390] lr: 1.000e-02, eta: 3:22:18, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0041, loss_bbox: 0.7320, loss_centerness: 0.6514, loss: 8.3875 2022-09-29 03:58:19,071 - mmdet - INFO - Epoch [5][6950/7390] lr: 1.000e-02, eta: 3:22:06, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0209, loss_bbox: 0.7334, loss_centerness: 0.6503, loss: 8.4046 2022-09-29 03:58:30,776 - mmdet - INFO - Epoch [5][7000/7390] lr: 1.000e-02, eta: 3:21:55, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0174, loss_bbox: 0.7321, loss_centerness: 0.6512, loss: 8.4007 2022-09-29 03:58:42,278 - mmdet - INFO - Epoch [5][7050/7390] lr: 1.000e-02, eta: 3:21:43, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0090, loss_bbox: 0.7341, loss_centerness: 0.6511, loss: 8.3942 2022-09-29 03:58:53,814 - mmdet - INFO - Epoch [5][7100/7390] lr: 1.000e-02, eta: 3:21:31, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0161, loss_bbox: 0.7298, loss_centerness: 0.6506, loss: 8.3966 2022-09-29 03:59:05,409 - mmdet - INFO - Epoch [5][7150/7390] lr: 1.000e-02, eta: 3:21:19, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 7.0144, loss_bbox: 0.7300, loss_centerness: 0.6511, loss: 8.3954 2022-09-29 03:59:16,992 - mmdet - INFO - Epoch [5][7200/7390] lr: 1.000e-02, eta: 3:21:08, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0130, loss_bbox: 0.7309, loss_centerness: 0.6507, loss: 8.3946 2022-09-29 03:59:28,669 - mmdet - INFO - Epoch [5][7250/7390] lr: 1.000e-02, eta: 3:20:56, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0195, loss_bbox: 0.7320, loss_centerness: 0.6509, loss: 8.4024 2022-09-29 03:59:40,374 - mmdet - INFO - Epoch [5][7300/7390] lr: 1.000e-02, eta: 3:20:45, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0081, loss_bbox: 0.7317, loss_centerness: 0.6503, loss: 8.3901 2022-09-29 03:59:51,917 - mmdet - INFO - Epoch [5][7350/7390] lr: 1.000e-02, eta: 3:20:33, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0210, loss_bbox: 0.7323, loss_centerness: 0.6512, loss: 8.4045 2022-09-29 04:00:01,365 - mmdet - INFO - Saving checkpoint at 5 epochs 2022-09-29 04:00:17,261 - mmdet - INFO - Exp name: fcos.py 2022-09-29 04:00:17,262 - mmdet - INFO - Epoch [6][50/7390] lr: 1.000e-02, eta: 3:20:04, time: 0.300, data_time: 0.070, memory: 22925, loss_cls: 7.0164, loss_bbox: 0.7357, loss_centerness: 0.6510, loss: 8.4031 2022-09-29 04:00:29,022 - mmdet - INFO - Epoch [6][100/7390] lr: 1.000e-02, eta: 3:19:52, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0165, loss_bbox: 0.7327, loss_centerness: 0.6510, loss: 8.4002 2022-09-29 04:00:40,901 - mmdet - INFO - Epoch [6][150/7390] lr: 1.000e-02, eta: 3:19:41, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 7.0112, loss_bbox: 0.7317, loss_centerness: 0.6512, loss: 8.3941 2022-09-29 04:00:52,491 - mmdet - INFO - Epoch [6][200/7390] lr: 1.000e-02, eta: 3:19:29, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 7.0186, loss_bbox: 0.7369, loss_centerness: 0.6511, loss: 8.4066 2022-09-29 04:01:04,166 - mmdet - INFO - Epoch [6][250/7390] lr: 1.000e-02, eta: 3:19:18, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0158, loss_bbox: 0.7281, loss_centerness: 0.6507, loss: 8.3945 2022-09-29 04:01:15,819 - mmdet - INFO - Epoch [6][300/7390] lr: 1.000e-02, eta: 3:19:06, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0135, loss_bbox: 0.7309, loss_centerness: 0.6512, loss: 8.3956 2022-09-29 04:01:27,583 - mmdet - INFO - Epoch [6][350/7390] lr: 1.000e-02, eta: 3:18:55, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0223, loss_bbox: 0.7316, loss_centerness: 0.6504, loss: 8.4042 2022-09-29 04:01:39,558 - mmdet - INFO - Epoch [6][400/7390] lr: 1.000e-02, eta: 3:18:44, time: 0.239, data_time: 0.009, memory: 22925, loss_cls: 6.9934, loss_bbox: 0.7317, loss_centerness: 0.6489, loss: 8.3740 2022-09-29 04:01:51,540 - mmdet - INFO - Epoch [6][450/7390] lr: 1.000e-02, eta: 3:18:33, time: 0.240, data_time: 0.009, memory: 22925, loss_cls: 7.0158, loss_bbox: 0.7310, loss_centerness: 0.6510, loss: 8.3979 2022-09-29 04:02:03,126 - mmdet - INFO - Epoch [6][500/7390] lr: 1.000e-02, eta: 3:18:21, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0030, loss_bbox: 0.7350, loss_centerness: 0.6502, loss: 8.3881 2022-09-29 04:02:14,825 - mmdet - INFO - Epoch [6][550/7390] lr: 1.000e-02, eta: 3:18:10, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0188, loss_bbox: 0.7328, loss_centerness: 0.6499, loss: 8.4016 2022-09-29 04:02:26,509 - mmdet - INFO - Epoch [6][600/7390] lr: 1.000e-02, eta: 3:17:58, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0124, loss_bbox: 0.7341, loss_centerness: 0.6507, loss: 8.3972 2022-09-29 04:02:38,157 - mmdet - INFO - Epoch [6][650/7390] lr: 1.000e-02, eta: 3:17:46, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0132, loss_bbox: 0.7324, loss_centerness: 0.6511, loss: 8.3967 2022-09-29 04:02:49,920 - mmdet - INFO - Epoch [6][700/7390] lr: 1.000e-02, eta: 3:17:35, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0103, loss_bbox: 0.7324, loss_centerness: 0.6508, loss: 8.3934 2022-09-29 04:03:01,665 - mmdet - INFO - Epoch [6][750/7390] lr: 1.000e-02, eta: 3:17:24, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0103, loss_bbox: 0.7307, loss_centerness: 0.6510, loss: 8.3920 2022-09-29 04:03:13,207 - mmdet - INFO - Epoch [6][800/7390] lr: 1.000e-02, eta: 3:17:12, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0163, loss_bbox: 0.7301, loss_centerness: 0.6510, loss: 8.3973 2022-09-29 04:03:24,769 - mmdet - INFO - Epoch [6][850/7390] lr: 1.000e-02, eta: 3:17:00, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0118, loss_bbox: 0.7348, loss_centerness: 0.6504, loss: 8.3970 2022-09-29 04:03:36,373 - mmdet - INFO - Epoch [6][900/7390] lr: 1.000e-02, eta: 3:16:49, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0162, loss_bbox: 0.7335, loss_centerness: 0.6507, loss: 8.4004 2022-09-29 04:03:48,013 - mmdet - INFO - Epoch [6][950/7390] lr: 1.000e-02, eta: 3:16:37, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0104, loss_bbox: 0.7346, loss_centerness: 0.6509, loss: 8.3958 2022-09-29 04:03:59,682 - mmdet - INFO - Epoch [6][1000/7390] lr: 1.000e-02, eta: 3:16:25, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0112, loss_bbox: 0.7303, loss_centerness: 0.6511, loss: 8.3925 2022-09-29 04:04:11,213 - mmdet - INFO - Exp name: fcos.py 2022-09-29 04:04:11,213 - mmdet - INFO - Epoch [6][1050/7390] lr: 1.000e-02, eta: 3:16:14, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0088, loss_bbox: 0.7335, loss_centerness: 0.6502, loss: 8.3925 2022-09-29 04:04:22,818 - mmdet - INFO - Epoch [6][1100/7390] lr: 1.000e-02, eta: 3:16:02, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0071, loss_bbox: 0.7332, loss_centerness: 0.6507, loss: 8.3911 2022-09-29 04:04:34,342 - mmdet - INFO - Epoch [6][1150/7390] lr: 1.000e-02, eta: 3:15:50, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0150, loss_bbox: 0.7341, loss_centerness: 0.6511, loss: 8.4002 2022-09-29 04:04:46,030 - mmdet - INFO - Epoch [6][1200/7390] lr: 1.000e-02, eta: 3:15:39, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 7.0173, loss_bbox: 0.7326, loss_centerness: 0.6507, loss: 8.4007 2022-09-29 04:04:57,800 - mmdet - INFO - Epoch [6][1250/7390] lr: 1.000e-02, eta: 3:15:27, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0194, loss_bbox: 0.7343, loss_centerness: 0.6505, loss: 8.4042 2022-09-29 04:05:09,448 - mmdet - INFO - Epoch [6][1300/7390] lr: 1.000e-02, eta: 3:15:16, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0191, loss_bbox: 0.7341, loss_centerness: 0.6509, loss: 8.4041 2022-09-29 04:05:21,056 - mmdet - INFO - Epoch [6][1350/7390] lr: 1.000e-02, eta: 3:15:04, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0101, loss_bbox: 0.7315, loss_centerness: 0.6506, loss: 8.3921 2022-09-29 04:05:32,652 - mmdet - INFO - Epoch [6][1400/7390] lr: 1.000e-02, eta: 3:14:53, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0078, loss_bbox: 0.7331, loss_centerness: 0.6511, loss: 8.3920 2022-09-29 04:05:44,266 - mmdet - INFO - Epoch [6][1450/7390] lr: 1.000e-02, eta: 3:14:41, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0127, loss_bbox: 0.7278, loss_centerness: 0.6511, loss: 8.3916 2022-09-29 04:05:55,850 - mmdet - INFO - Epoch [6][1500/7390] lr: 1.000e-02, eta: 3:14:29, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0130, loss_bbox: 0.7327, loss_centerness: 0.6507, loss: 8.3963 2022-09-29 04:06:07,837 - mmdet - INFO - Epoch [6][1550/7390] lr: 1.000e-02, eta: 3:14:18, time: 0.240, data_time: 0.009, memory: 22925, loss_cls: 7.0092, loss_bbox: 0.7316, loss_centerness: 0.6506, loss: 8.3915 2022-09-29 04:06:19,477 - mmdet - INFO - Epoch [6][1600/7390] lr: 1.000e-02, eta: 3:14:07, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0158, loss_bbox: 0.7308, loss_centerness: 0.6516, loss: 8.3982 2022-09-29 04:06:31,278 - mmdet - INFO - Epoch [6][1650/7390] lr: 1.000e-02, eta: 3:13:55, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0094, loss_bbox: 0.7320, loss_centerness: 0.6506, loss: 8.3921 2022-09-29 04:06:42,939 - mmdet - INFO - Epoch [6][1700/7390] lr: 1.000e-02, eta: 3:13:44, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0098, loss_bbox: 0.7287, loss_centerness: 0.6507, loss: 8.3893 2022-09-29 04:06:54,474 - mmdet - INFO - Epoch [6][1750/7390] lr: 1.000e-02, eta: 3:13:32, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0204, loss_bbox: 0.7326, loss_centerness: 0.6503, loss: 8.4033 2022-09-29 04:07:06,090 - mmdet - INFO - Epoch [6][1800/7390] lr: 1.000e-02, eta: 3:13:20, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 7.0046, loss_bbox: 0.7330, loss_centerness: 0.6505, loss: 8.3881 2022-09-29 04:07:17,734 - mmdet - INFO - Epoch [6][1850/7390] lr: 1.000e-02, eta: 3:13:09, time: 0.233, data_time: 0.010, memory: 22925, loss_cls: 7.0122, loss_bbox: 0.7304, loss_centerness: 0.6502, loss: 8.3928 2022-09-29 04:07:29,164 - mmdet - INFO - Epoch [6][1900/7390] lr: 1.000e-02, eta: 3:12:57, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 7.0219, loss_bbox: 0.7305, loss_centerness: 0.6506, loss: 8.4031 2022-09-29 04:07:40,892 - mmdet - INFO - Epoch [6][1950/7390] lr: 1.000e-02, eta: 3:12:45, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9897, loss_bbox: 0.7330, loss_centerness: 0.6486, loss: 8.3714 2022-09-29 04:07:52,559 - mmdet - INFO - Epoch [6][2000/7390] lr: 1.000e-02, eta: 3:12:34, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0215, loss_bbox: 0.7325, loss_centerness: 0.6509, loss: 8.4049 2022-09-29 04:08:04,078 - mmdet - INFO - Exp name: fcos.py 2022-09-29 04:08:04,078 - mmdet - INFO - Epoch [6][2050/7390] lr: 1.000e-02, eta: 3:12:22, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0031, loss_bbox: 0.7266, loss_centerness: 0.6501, loss: 8.3798 2022-09-29 04:08:15,669 - mmdet - INFO - Epoch [6][2100/7390] lr: 1.000e-02, eta: 3:12:10, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0077, loss_bbox: 0.7373, loss_centerness: 0.6510, loss: 8.3960 2022-09-29 04:08:27,455 - mmdet - INFO - Epoch [6][2150/7390] lr: 1.000e-02, eta: 3:11:59, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0115, loss_bbox: 0.7308, loss_centerness: 0.6510, loss: 8.3933 2022-09-29 04:08:39,559 - mmdet - INFO - Epoch [6][2200/7390] lr: 1.000e-02, eta: 3:11:48, time: 0.242, data_time: 0.009, memory: 22925, loss_cls: 7.0173, loss_bbox: 0.7312, loss_centerness: 0.6507, loss: 8.3992 2022-09-29 04:08:51,280 - mmdet - INFO - Epoch [6][2250/7390] lr: 1.000e-02, eta: 3:11:37, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0184, loss_bbox: 0.7330, loss_centerness: 0.6510, loss: 8.4024 2022-09-29 04:09:03,063 - mmdet - INFO - Epoch [6][2300/7390] lr: 1.000e-02, eta: 3:11:25, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9971, loss_bbox: 0.7285, loss_centerness: 0.6488, loss: 8.3744 2022-09-29 04:09:14,914 - mmdet - INFO - Epoch [6][2350/7390] lr: 1.000e-02, eta: 3:11:14, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0175, loss_bbox: 0.7312, loss_centerness: 0.6509, loss: 8.3996 2022-09-29 04:09:26,519 - mmdet - INFO - Epoch [6][2400/7390] lr: 1.000e-02, eta: 3:11:02, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0150, loss_bbox: 0.7314, loss_centerness: 0.6507, loss: 8.3971 2022-09-29 04:09:38,479 - mmdet - INFO - Epoch [6][2450/7390] lr: 1.000e-02, eta: 3:10:51, time: 0.239, data_time: 0.009, memory: 22925, loss_cls: 7.0063, loss_bbox: 0.7304, loss_centerness: 0.6509, loss: 8.3876 2022-09-29 04:09:50,041 - mmdet - INFO - Epoch [6][2500/7390] lr: 1.000e-02, eta: 3:10:39, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0158, loss_bbox: 0.7349, loss_centerness: 0.6507, loss: 8.4015 2022-09-29 04:10:01,674 - mmdet - INFO - Epoch [6][2550/7390] lr: 1.000e-02, eta: 3:10:28, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0113, loss_bbox: 0.7320, loss_centerness: 0.6510, loss: 8.3943 2022-09-29 04:10:13,249 - mmdet - INFO - Epoch [6][2600/7390] lr: 1.000e-02, eta: 3:10:16, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0037, loss_bbox: 0.7314, loss_centerness: 0.6506, loss: 8.3857 2022-09-29 04:10:24,831 - mmdet - INFO - Epoch [6][2650/7390] lr: 1.000e-02, eta: 3:10:04, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0181, loss_bbox: 0.7316, loss_centerness: 0.6518, loss: 8.4014 2022-09-29 04:10:36,490 - mmdet - INFO - Epoch [6][2700/7390] lr: 1.000e-02, eta: 3:09:53, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0157, loss_bbox: 0.7282, loss_centerness: 0.6509, loss: 8.3949 2022-09-29 04:10:48,395 - mmdet - INFO - Epoch [6][2750/7390] lr: 1.000e-02, eta: 3:09:41, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 7.0050, loss_bbox: 0.7305, loss_centerness: 0.6510, loss: 8.3864 2022-09-29 04:10:59,905 - mmdet - INFO - Epoch [6][2800/7390] lr: 1.000e-02, eta: 3:09:30, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0138, loss_bbox: 0.7320, loss_centerness: 0.6511, loss: 8.3968 2022-09-29 04:11:11,486 - mmdet - INFO - Epoch [6][2850/7390] lr: 1.000e-02, eta: 3:09:18, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0046, loss_bbox: 0.7306, loss_centerness: 0.6509, loss: 8.3862 2022-09-29 04:11:23,023 - mmdet - INFO - Epoch [6][2900/7390] lr: 1.000e-02, eta: 3:09:06, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0217, loss_bbox: 0.7290, loss_centerness: 0.6507, loss: 8.4014 2022-09-29 04:11:34,624 - mmdet - INFO - Epoch [6][2950/7390] lr: 1.000e-02, eta: 3:08:55, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0161, loss_bbox: 0.7348, loss_centerness: 0.6504, loss: 8.4013 2022-09-29 04:11:46,329 - mmdet - INFO - Epoch [6][3000/7390] lr: 1.000e-02, eta: 3:08:43, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0109, loss_bbox: 0.7311, loss_centerness: 0.6511, loss: 8.3930 2022-09-29 04:11:57,926 - mmdet - INFO - Exp name: fcos.py 2022-09-29 04:11:57,926 - mmdet - INFO - Epoch [6][3050/7390] lr: 1.000e-02, eta: 3:08:32, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0100, loss_bbox: 0.7291, loss_centerness: 0.6509, loss: 8.3900 2022-09-29 04:12:09,502 - mmdet - INFO - Epoch [6][3100/7390] lr: 1.000e-02, eta: 3:08:20, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0104, loss_bbox: 0.7327, loss_centerness: 0.6509, loss: 8.3941 2022-09-29 04:12:21,110 - mmdet - INFO - Epoch [6][3150/7390] lr: 1.000e-02, eta: 3:08:08, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0033, loss_bbox: 0.7326, loss_centerness: 0.6506, loss: 8.3865 2022-09-29 04:12:32,777 - mmdet - INFO - Epoch [6][3200/7390] lr: 1.000e-02, eta: 3:07:57, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0052, loss_bbox: 0.7320, loss_centerness: 0.6505, loss: 8.3877 2022-09-29 04:12:44,571 - mmdet - INFO - Epoch [6][3250/7390] lr: 1.000e-02, eta: 3:07:45, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0147, loss_bbox: 0.7348, loss_centerness: 0.6511, loss: 8.4006 2022-09-29 04:12:56,058 - mmdet - INFO - Epoch [6][3300/7390] lr: 1.000e-02, eta: 3:07:34, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0076, loss_bbox: 0.7291, loss_centerness: 0.6507, loss: 8.3873 2022-09-29 04:13:07,776 - mmdet - INFO - Epoch [6][3350/7390] lr: 1.000e-02, eta: 3:07:22, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0146, loss_bbox: 0.7321, loss_centerness: 0.6505, loss: 8.3972 2022-09-29 04:13:19,187 - mmdet - INFO - Epoch [6][3400/7390] lr: 1.000e-02, eta: 3:07:10, time: 0.228, data_time: 0.009, memory: 22925, loss_cls: 7.0065, loss_bbox: 0.7310, loss_centerness: 0.6508, loss: 8.3883 2022-09-29 04:13:30,768 - mmdet - INFO - Epoch [6][3450/7390] lr: 1.000e-02, eta: 3:06:58, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0084, loss_bbox: 0.7332, loss_centerness: 0.6511, loss: 8.3928 2022-09-29 04:13:42,335 - mmdet - INFO - Epoch [6][3500/7390] lr: 1.000e-02, eta: 3:06:47, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0166, loss_bbox: 0.7313, loss_centerness: 0.6511, loss: 8.3990 2022-09-29 04:13:53,937 - mmdet - INFO - Epoch [6][3550/7390] lr: 1.000e-02, eta: 3:06:35, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0163, loss_bbox: 0.7304, loss_centerness: 0.6506, loss: 8.3972 2022-09-29 04:14:05,752 - mmdet - INFO - Epoch [6][3600/7390] lr: 1.000e-02, eta: 3:06:24, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0210, loss_bbox: 0.7307, loss_centerness: 0.6509, loss: 8.4026 2022-09-29 04:14:17,372 - mmdet - INFO - Epoch [6][3650/7390] lr: 1.000e-02, eta: 3:06:12, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0072, loss_bbox: 0.7330, loss_centerness: 0.6504, loss: 8.3906 2022-09-29 04:14:28,931 - mmdet - INFO - Epoch [6][3700/7390] lr: 1.000e-02, eta: 3:06:00, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9938, loss_bbox: 0.7322, loss_centerness: 0.6493, loss: 8.3753 2022-09-29 04:14:40,648 - mmdet - INFO - Epoch [6][3750/7390] lr: 1.000e-02, eta: 3:05:49, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0018, loss_bbox: 0.7351, loss_centerness: 0.6505, loss: 8.3875 2022-09-29 04:14:52,442 - mmdet - INFO - Epoch [6][3800/7390] lr: 1.000e-02, eta: 3:05:38, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0084, loss_bbox: 0.7352, loss_centerness: 0.6511, loss: 8.3947 2022-09-29 04:15:03,974 - mmdet - INFO - Epoch [6][3850/7390] lr: 1.000e-02, eta: 3:05:26, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0177, loss_bbox: 0.7318, loss_centerness: 0.6512, loss: 8.4007 2022-09-29 04:15:15,490 - mmdet - INFO - Epoch [6][3900/7390] lr: 1.000e-02, eta: 3:05:14, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0131, loss_bbox: 0.7314, loss_centerness: 0.6507, loss: 8.3951 2022-09-29 04:15:27,008 - mmdet - INFO - Epoch [6][3950/7390] lr: 1.000e-02, eta: 3:05:02, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0145, loss_bbox: 0.7273, loss_centerness: 0.6508, loss: 8.3926 2022-09-29 04:15:38,696 - mmdet - INFO - Epoch [6][4000/7390] lr: 1.000e-02, eta: 3:04:51, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0124, loss_bbox: 0.7302, loss_centerness: 0.6505, loss: 8.3931 2022-09-29 04:15:50,321 - mmdet - INFO - Exp name: fcos.py 2022-09-29 04:15:50,321 - mmdet - INFO - Epoch [6][4050/7390] lr: 1.000e-02, eta: 3:04:39, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 7.0205, loss_bbox: 0.7290, loss_centerness: 0.6508, loss: 8.4002 2022-09-29 04:16:01,784 - mmdet - INFO - Epoch [6][4100/7390] lr: 1.000e-02, eta: 3:04:27, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0193, loss_bbox: 0.7351, loss_centerness: 0.6508, loss: 8.4052 2022-09-29 04:16:13,480 - mmdet - INFO - Epoch [6][4150/7390] lr: 1.000e-02, eta: 3:04:16, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0083, loss_bbox: 0.7347, loss_centerness: 0.6506, loss: 8.3936 2022-09-29 04:16:25,043 - mmdet - INFO - Epoch [6][4200/7390] lr: 1.000e-02, eta: 3:04:04, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0086, loss_bbox: 0.7340, loss_centerness: 0.6503, loss: 8.3929 2022-09-29 04:16:36,641 - mmdet - INFO - Epoch [6][4250/7390] lr: 1.000e-02, eta: 3:03:53, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0043, loss_bbox: 0.7314, loss_centerness: 0.6509, loss: 8.3866 2022-09-29 04:16:48,509 - mmdet - INFO - Epoch [6][4300/7390] lr: 1.000e-02, eta: 3:03:41, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0079, loss_bbox: 0.7339, loss_centerness: 0.6505, loss: 8.3923 2022-09-29 04:17:00,086 - mmdet - INFO - Epoch [6][4350/7390] lr: 1.000e-02, eta: 3:03:29, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 7.0234, loss_bbox: 0.7333, loss_centerness: 0.6508, loss: 8.4075 2022-09-29 04:17:11,741 - mmdet - INFO - Epoch [6][4400/7390] lr: 1.000e-02, eta: 3:03:18, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0094, loss_bbox: 0.7315, loss_centerness: 0.6513, loss: 8.3922 2022-09-29 04:17:23,270 - mmdet - INFO - Epoch [6][4450/7390] lr: 1.000e-02, eta: 3:03:06, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0086, loss_bbox: 0.7288, loss_centerness: 0.6506, loss: 8.3880 2022-09-29 04:17:34,976 - mmdet - INFO - Epoch [6][4500/7390] lr: 1.000e-02, eta: 3:02:55, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0060, loss_bbox: 0.7324, loss_centerness: 0.6506, loss: 8.3890 2022-09-29 04:17:46,633 - mmdet - INFO - Epoch [6][4550/7390] lr: 1.000e-02, eta: 3:02:43, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0104, loss_bbox: 0.7337, loss_centerness: 0.6511, loss: 8.3951 2022-09-29 04:17:58,172 - mmdet - INFO - Epoch [6][4600/7390] lr: 1.000e-02, eta: 3:02:31, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0129, loss_bbox: 0.7325, loss_centerness: 0.6512, loss: 8.3966 2022-09-29 04:18:09,875 - mmdet - INFO - Epoch [6][4650/7390] lr: 1.000e-02, eta: 3:02:20, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0125, loss_bbox: 0.7325, loss_centerness: 0.6506, loss: 8.3955 2022-09-29 04:18:21,563 - mmdet - INFO - Epoch [6][4700/7390] lr: 1.000e-02, eta: 3:02:08, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0014, loss_bbox: 0.7291, loss_centerness: 0.6515, loss: 8.3820 2022-09-29 04:18:33,194 - mmdet - INFO - Epoch [6][4750/7390] lr: 1.000e-02, eta: 3:01:57, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0149, loss_bbox: 0.7322, loss_centerness: 0.6509, loss: 8.3980 2022-09-29 04:18:45,036 - mmdet - INFO - Epoch [6][4800/7390] lr: 1.000e-02, eta: 3:01:45, time: 0.238, data_time: 0.010, memory: 22925, loss_cls: 7.0041, loss_bbox: 0.7314, loss_centerness: 0.6512, loss: 8.3868 2022-09-29 04:18:56,513 - mmdet - INFO - Epoch [6][4850/7390] lr: 1.000e-02, eta: 3:01:34, time: 0.229, data_time: 0.008, memory: 22925, loss_cls: 7.0125, loss_bbox: 0.7322, loss_centerness: 0.6503, loss: 8.3950 2022-09-29 04:19:08,214 - mmdet - INFO - Epoch [6][4900/7390] lr: 1.000e-02, eta: 3:01:22, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9940, loss_bbox: 0.7312, loss_centerness: 0.6493, loss: 8.3745 2022-09-29 04:19:19,698 - mmdet - INFO - Epoch [6][4950/7390] lr: 1.000e-02, eta: 3:01:10, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0009, loss_bbox: 0.7298, loss_centerness: 0.6485, loss: 8.3793 2022-09-29 04:19:31,325 - mmdet - INFO - Epoch [6][5000/7390] lr: 1.000e-02, eta: 3:00:59, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0106, loss_bbox: 0.7292, loss_centerness: 0.6509, loss: 8.3907 2022-09-29 04:19:42,883 - mmdet - INFO - Exp name: fcos.py 2022-09-29 04:19:42,883 - mmdet - INFO - Epoch [6][5050/7390] lr: 1.000e-02, eta: 3:00:47, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0089, loss_bbox: 0.7312, loss_centerness: 0.6507, loss: 8.3909 2022-09-29 04:19:54,470 - mmdet - INFO - Epoch [6][5100/7390] lr: 1.000e-02, eta: 3:00:35, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0078, loss_bbox: 0.7309, loss_centerness: 0.6505, loss: 8.3891 2022-09-29 04:20:06,155 - mmdet - INFO - Epoch [6][5150/7390] lr: 1.000e-02, eta: 3:00:24, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0092, loss_bbox: 0.7340, loss_centerness: 0.6505, loss: 8.3937 2022-09-29 04:20:17,843 - mmdet - INFO - Epoch [6][5200/7390] lr: 1.000e-02, eta: 3:00:12, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0034, loss_bbox: 0.7310, loss_centerness: 0.6506, loss: 8.3850 2022-09-29 04:20:29,503 - mmdet - INFO - Epoch [6][5250/7390] lr: 1.000e-02, eta: 3:00:01, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0105, loss_bbox: 0.7352, loss_centerness: 0.6511, loss: 8.3967 2022-09-29 04:20:41,184 - mmdet - INFO - Epoch [6][5300/7390] lr: 1.000e-02, eta: 2:59:49, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0123, loss_bbox: 0.7328, loss_centerness: 0.6505, loss: 8.3956 2022-09-29 04:20:52,732 - mmdet - INFO - Epoch [6][5350/7390] lr: 1.000e-02, eta: 2:59:37, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0054, loss_bbox: 0.7322, loss_centerness: 0.6514, loss: 8.3889 2022-09-29 04:21:04,360 - mmdet - INFO - Epoch [6][5400/7390] lr: 1.000e-02, eta: 2:59:26, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0043, loss_bbox: 0.7306, loss_centerness: 0.6504, loss: 8.3853 2022-09-29 04:21:16,058 - mmdet - INFO - Epoch [6][5450/7390] lr: 1.000e-02, eta: 2:59:14, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 7.0181, loss_bbox: 0.7305, loss_centerness: 0.6503, loss: 8.3988 2022-09-29 04:21:27,640 - mmdet - INFO - Epoch [6][5500/7390] lr: 1.000e-02, eta: 2:59:03, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0029, loss_bbox: 0.7316, loss_centerness: 0.6504, loss: 8.3850 2022-09-29 04:21:39,384 - mmdet - INFO - Epoch [6][5550/7390] lr: 1.000e-02, eta: 2:58:51, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0126, loss_bbox: 0.7323, loss_centerness: 0.6511, loss: 8.3960 2022-09-29 04:21:51,081 - mmdet - INFO - Epoch [6][5600/7390] lr: 1.000e-02, eta: 2:58:40, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0107, loss_bbox: 0.7311, loss_centerness: 0.6507, loss: 8.3925 2022-09-29 04:22:02,721 - mmdet - INFO - Epoch [6][5650/7390] lr: 1.000e-02, eta: 2:58:28, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0068, loss_bbox: 0.7320, loss_centerness: 0.6505, loss: 8.3893 2022-09-29 04:22:14,605 - mmdet - INFO - Epoch [6][5700/7390] lr: 1.000e-02, eta: 2:58:17, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 7.0108, loss_bbox: 0.7302, loss_centerness: 0.6499, loss: 8.3909 2022-09-29 04:22:26,233 - mmdet - INFO - Epoch [6][5750/7390] lr: 1.000e-02, eta: 2:58:05, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0183, loss_bbox: 0.7344, loss_centerness: 0.6500, loss: 8.4028 2022-09-29 04:22:37,937 - mmdet - INFO - Epoch [6][5800/7390] lr: 1.000e-02, eta: 2:57:54, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0043, loss_bbox: 0.7311, loss_centerness: 0.6509, loss: 8.3863 2022-09-29 04:22:49,630 - mmdet - INFO - Epoch [6][5850/7390] lr: 1.000e-02, eta: 2:57:42, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0041, loss_bbox: 0.7342, loss_centerness: 0.6506, loss: 8.3889 2022-09-29 04:23:01,190 - mmdet - INFO - Epoch [6][5900/7390] lr: 1.000e-02, eta: 2:57:30, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0150, loss_bbox: 0.7329, loss_centerness: 0.6503, loss: 8.3981 2022-09-29 04:23:12,928 - mmdet - INFO - Epoch [6][5950/7390] lr: 1.000e-02, eta: 2:57:19, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9973, loss_bbox: 0.7329, loss_centerness: 0.6514, loss: 8.3817 2022-09-29 04:23:24,484 - mmdet - INFO - Epoch [6][6000/7390] lr: 1.000e-02, eta: 2:57:07, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0106, loss_bbox: 0.7338, loss_centerness: 0.6505, loss: 8.3948 2022-09-29 04:23:36,190 - mmdet - INFO - Exp name: fcos.py 2022-09-29 04:23:36,191 - mmdet - INFO - Epoch [6][6050/7390] lr: 1.000e-02, eta: 2:56:56, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0084, loss_bbox: 0.7320, loss_centerness: 0.6508, loss: 8.3912 2022-09-29 04:23:47,836 - mmdet - INFO - Epoch [6][6100/7390] lr: 1.000e-02, eta: 2:56:44, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0032, loss_bbox: 0.7300, loss_centerness: 0.6513, loss: 8.3845 2022-09-29 04:23:59,545 - mmdet - INFO - Epoch [6][6150/7390] lr: 1.000e-02, eta: 2:56:32, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0043, loss_bbox: 0.7277, loss_centerness: 0.6507, loss: 8.3827 2022-09-29 04:24:11,129 - mmdet - INFO - Epoch [6][6200/7390] lr: 1.000e-02, eta: 2:56:21, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0116, loss_bbox: 0.7299, loss_centerness: 0.6509, loss: 8.3923 2022-09-29 04:24:22,639 - mmdet - INFO - Epoch [6][6250/7390] lr: 1.000e-02, eta: 2:56:09, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0075, loss_bbox: 0.7337, loss_centerness: 0.6507, loss: 8.3919 2022-09-29 04:24:34,434 - mmdet - INFO - Epoch [6][6300/7390] lr: 1.000e-02, eta: 2:55:58, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0019, loss_bbox: 0.7310, loss_centerness: 0.6506, loss: 8.3835 2022-09-29 04:24:46,103 - mmdet - INFO - Epoch [6][6350/7390] lr: 1.000e-02, eta: 2:55:46, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0107, loss_bbox: 0.7330, loss_centerness: 0.6514, loss: 8.3951 2022-09-29 04:24:57,677 - mmdet - INFO - Epoch [6][6400/7390] lr: 1.000e-02, eta: 2:55:34, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0213, loss_bbox: 0.7346, loss_centerness: 0.6507, loss: 8.4066 2022-09-29 04:25:09,539 - mmdet - INFO - Epoch [6][6450/7390] lr: 1.000e-02, eta: 2:55:23, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0064, loss_bbox: 0.7326, loss_centerness: 0.6505, loss: 8.3895 2022-09-29 04:25:21,080 - mmdet - INFO - Epoch [6][6500/7390] lr: 1.000e-02, eta: 2:55:11, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0063, loss_bbox: 0.7330, loss_centerness: 0.6505, loss: 8.3898 2022-09-29 04:25:32,686 - mmdet - INFO - Epoch [6][6550/7390] lr: 1.000e-02, eta: 2:55:00, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9902, loss_bbox: 0.7312, loss_centerness: 0.6491, loss: 8.3705 2022-09-29 04:25:44,255 - mmdet - INFO - Epoch [6][6600/7390] lr: 1.000e-02, eta: 2:54:48, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0136, loss_bbox: 0.7325, loss_centerness: 0.6501, loss: 8.3962 2022-09-29 04:25:55,926 - mmdet - INFO - Epoch [6][6650/7390] lr: 1.000e-02, eta: 2:54:36, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0134, loss_bbox: 0.7328, loss_centerness: 0.6509, loss: 8.3972 2022-09-29 04:26:07,518 - mmdet - INFO - Epoch [6][6700/7390] lr: 1.000e-02, eta: 2:54:25, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9971, loss_bbox: 0.7293, loss_centerness: 0.6505, loss: 8.3769 2022-09-29 04:26:19,121 - mmdet - INFO - Epoch [6][6750/7390] lr: 1.000e-02, eta: 2:54:13, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0037, loss_bbox: 0.7293, loss_centerness: 0.6512, loss: 8.3842 2022-09-29 04:26:30,678 - mmdet - INFO - Epoch [6][6800/7390] lr: 1.000e-02, eta: 2:54:01, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0112, loss_bbox: 0.7298, loss_centerness: 0.6507, loss: 8.3917 2022-09-29 04:26:42,444 - mmdet - INFO - Epoch [6][6850/7390] lr: 1.000e-02, eta: 2:53:50, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0084, loss_bbox: 0.7295, loss_centerness: 0.6511, loss: 8.3890 2022-09-29 04:26:54,076 - mmdet - INFO - Epoch [6][6900/7390] lr: 1.000e-02, eta: 2:53:38, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9864, loss_bbox: 0.7325, loss_centerness: 0.6490, loss: 8.3679 2022-09-29 04:27:05,772 - mmdet - INFO - Epoch [6][6950/7390] lr: 1.000e-02, eta: 2:53:27, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9989, loss_bbox: 0.7278, loss_centerness: 0.6500, loss: 8.3768 2022-09-29 04:27:17,477 - mmdet - INFO - Epoch [6][7000/7390] lr: 1.000e-02, eta: 2:53:15, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0183, loss_bbox: 0.7302, loss_centerness: 0.6508, loss: 8.3993 2022-09-29 04:27:29,012 - mmdet - INFO - Exp name: fcos.py 2022-09-29 04:27:29,012 - mmdet - INFO - Epoch [6][7050/7390] lr: 1.000e-02, eta: 2:53:04, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0021, loss_bbox: 0.7357, loss_centerness: 0.6506, loss: 8.3884 2022-09-29 04:27:40,647 - mmdet - INFO - Epoch [6][7100/7390] lr: 1.000e-02, eta: 2:52:52, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0069, loss_bbox: 0.7314, loss_centerness: 0.6511, loss: 8.3894 2022-09-29 04:27:52,328 - mmdet - INFO - Epoch [6][7150/7390] lr: 1.000e-02, eta: 2:52:40, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0083, loss_bbox: 0.7323, loss_centerness: 0.6512, loss: 8.3918 2022-09-29 04:28:03,996 - mmdet - INFO - Epoch [6][7200/7390] lr: 1.000e-02, eta: 2:52:29, time: 0.234, data_time: 0.010, memory: 22925, loss_cls: 7.0011, loss_bbox: 0.7280, loss_centerness: 0.6500, loss: 8.3791 2022-09-29 04:28:15,670 - mmdet - INFO - Epoch [6][7250/7390] lr: 1.000e-02, eta: 2:52:17, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0031, loss_bbox: 0.7309, loss_centerness: 0.6507, loss: 8.3847 2022-09-29 04:28:27,633 - mmdet - INFO - Epoch [6][7300/7390] lr: 1.000e-02, eta: 2:52:06, time: 0.240, data_time: 0.010, memory: 22925, loss_cls: 7.0022, loss_bbox: 0.7299, loss_centerness: 0.6506, loss: 8.3827 2022-09-29 04:28:39,156 - mmdet - INFO - Epoch [6][7350/7390] lr: 1.000e-02, eta: 2:51:54, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0089, loss_bbox: 0.7309, loss_centerness: 0.6511, loss: 8.3910 2022-09-29 04:28:48,587 - mmdet - INFO - Saving checkpoint at 6 epochs 2022-09-29 04:29:04,420 - mmdet - INFO - Epoch [7][50/7390] lr: 1.000e-02, eta: 2:51:27, time: 0.297, data_time: 0.069, memory: 22925, loss_cls: 7.0114, loss_bbox: 0.7280, loss_centerness: 0.6508, loss: 8.3902 2022-09-29 04:29:16,217 - mmdet - INFO - Epoch [7][100/7390] lr: 1.000e-02, eta: 2:51:16, time: 0.236, data_time: 0.010, memory: 22925, loss_cls: 7.0067, loss_bbox: 0.7310, loss_centerness: 0.6505, loss: 8.3882 2022-09-29 04:29:27,885 - mmdet - INFO - Epoch [7][150/7390] lr: 1.000e-02, eta: 2:51:04, time: 0.233, data_time: 0.010, memory: 22925, loss_cls: 7.0082, loss_bbox: 0.7289, loss_centerness: 0.6510, loss: 8.3881 2022-09-29 04:29:39,855 - mmdet - INFO - Epoch [7][200/7390] lr: 1.000e-02, eta: 2:50:53, time: 0.239, data_time: 0.010, memory: 22925, loss_cls: 7.0129, loss_bbox: 0.7316, loss_centerness: 0.6510, loss: 8.3955 2022-09-29 04:29:51,394 - mmdet - INFO - Epoch [7][250/7390] lr: 1.000e-02, eta: 2:50:41, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0066, loss_bbox: 0.7289, loss_centerness: 0.6508, loss: 8.3863 2022-09-29 04:30:03,135 - mmdet - INFO - Epoch [7][300/7390] lr: 1.000e-02, eta: 2:50:30, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9804, loss_bbox: 0.7283, loss_centerness: 0.6489, loss: 8.3576 2022-09-29 04:30:14,959 - mmdet - INFO - Epoch [7][350/7390] lr: 1.000e-02, eta: 2:50:19, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0058, loss_bbox: 0.7286, loss_centerness: 0.6503, loss: 8.3847 2022-09-29 04:30:26,770 - mmdet - INFO - Epoch [7][400/7390] lr: 1.000e-02, eta: 2:50:07, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0018, loss_bbox: 0.7317, loss_centerness: 0.6502, loss: 8.3837 2022-09-29 04:30:38,474 - mmdet - INFO - Epoch [7][450/7390] lr: 1.000e-02, eta: 2:49:56, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0146, loss_bbox: 0.7294, loss_centerness: 0.6502, loss: 8.3942 2022-09-29 04:30:50,208 - mmdet - INFO - Epoch [7][500/7390] lr: 1.000e-02, eta: 2:49:44, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0082, loss_bbox: 0.7325, loss_centerness: 0.6514, loss: 8.3921 2022-09-29 04:31:01,893 - mmdet - INFO - Epoch [7][550/7390] lr: 1.000e-02, eta: 2:49:33, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0011, loss_bbox: 0.7290, loss_centerness: 0.6513, loss: 8.3814 2022-09-29 04:31:13,554 - mmdet - INFO - Epoch [7][600/7390] lr: 1.000e-02, eta: 2:49:21, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0091, loss_bbox: 0.7296, loss_centerness: 0.6511, loss: 8.3898 2022-09-29 04:31:25,361 - mmdet - INFO - Epoch [7][650/7390] lr: 1.000e-02, eta: 2:49:10, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0089, loss_bbox: 0.7277, loss_centerness: 0.6504, loss: 8.3870 2022-09-29 04:31:37,062 - mmdet - INFO - Epoch [7][700/7390] lr: 1.000e-02, eta: 2:48:58, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0080, loss_bbox: 0.7344, loss_centerness: 0.6503, loss: 8.3928 2022-09-29 04:31:48,966 - mmdet - INFO - Epoch [7][750/7390] lr: 1.000e-02, eta: 2:48:47, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 7.0071, loss_bbox: 0.7334, loss_centerness: 0.6510, loss: 8.3915 2022-09-29 04:32:00,721 - mmdet - INFO - Epoch [7][800/7390] lr: 1.000e-02, eta: 2:48:35, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0198, loss_bbox: 0.7328, loss_centerness: 0.6507, loss: 8.4032 2022-09-29 04:32:12,428 - mmdet - INFO - Epoch [7][850/7390] lr: 1.000e-02, eta: 2:48:24, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0042, loss_bbox: 0.7306, loss_centerness: 0.6505, loss: 8.3854 2022-09-29 04:32:24,159 - mmdet - INFO - Epoch [7][900/7390] lr: 1.000e-02, eta: 2:48:12, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0002, loss_bbox: 0.7292, loss_centerness: 0.6505, loss: 8.3798 2022-09-29 04:32:35,845 - mmdet - INFO - Epoch [7][950/7390] lr: 1.000e-02, eta: 2:48:01, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0075, loss_bbox: 0.7277, loss_centerness: 0.6506, loss: 8.3858 2022-09-29 04:32:47,370 - mmdet - INFO - Epoch [7][1000/7390] lr: 1.000e-02, eta: 2:47:49, time: 0.231, data_time: 0.010, memory: 22925, loss_cls: 6.9993, loss_bbox: 0.7322, loss_centerness: 0.6507, loss: 8.3822 2022-09-29 04:32:58,954 - mmdet - INFO - Epoch [7][1050/7390] lr: 1.000e-02, eta: 2:47:37, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0108, loss_bbox: 0.7313, loss_centerness: 0.6502, loss: 8.3923 2022-09-29 04:33:10,611 - mmdet - INFO - Epoch [7][1100/7390] lr: 1.000e-02, eta: 2:47:26, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0063, loss_bbox: 0.7268, loss_centerness: 0.6505, loss: 8.3836 2022-09-29 04:33:22,226 - mmdet - INFO - Epoch [7][1150/7390] lr: 1.000e-02, eta: 2:47:14, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0022, loss_bbox: 0.7304, loss_centerness: 0.6509, loss: 8.3835 2022-09-29 04:33:33,953 - mmdet - INFO - Epoch [7][1200/7390] lr: 1.000e-02, eta: 2:47:03, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0025, loss_bbox: 0.7306, loss_centerness: 0.6509, loss: 8.3839 2022-09-29 04:33:45,524 - mmdet - INFO - Epoch [7][1250/7390] lr: 1.000e-02, eta: 2:46:51, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0117, loss_bbox: 0.7317, loss_centerness: 0.6502, loss: 8.3935 2022-09-29 04:33:57,112 - mmdet - INFO - Epoch [7][1300/7390] lr: 1.000e-02, eta: 2:46:39, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0057, loss_bbox: 0.7349, loss_centerness: 0.6509, loss: 8.3915 2022-09-29 04:34:08,572 - mmdet - INFO - Epoch [7][1350/7390] lr: 1.000e-02, eta: 2:46:27, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 7.0070, loss_bbox: 0.7315, loss_centerness: 0.6507, loss: 8.3892 2022-09-29 04:34:20,267 - mmdet - INFO - Epoch [7][1400/7390] lr: 1.000e-02, eta: 2:46:16, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0062, loss_bbox: 0.7341, loss_centerness: 0.6505, loss: 8.3908 2022-09-29 04:34:31,785 - mmdet - INFO - Epoch [7][1450/7390] lr: 1.000e-02, eta: 2:46:04, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0116, loss_bbox: 0.7285, loss_centerness: 0.6513, loss: 8.3914 2022-09-29 04:34:43,387 - mmdet - INFO - Epoch [7][1500/7390] lr: 1.000e-02, eta: 2:45:53, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0058, loss_bbox: 0.7318, loss_centerness: 0.6508, loss: 8.3884 2022-09-29 04:34:54,995 - mmdet - INFO - Epoch [7][1550/7390] lr: 1.000e-02, eta: 2:45:41, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0030, loss_bbox: 0.7335, loss_centerness: 0.6509, loss: 8.3874 2022-09-29 04:35:06,548 - mmdet - INFO - Epoch [7][1600/7390] lr: 1.000e-02, eta: 2:45:29, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9986, loss_bbox: 0.7330, loss_centerness: 0.6504, loss: 8.3820 2022-09-29 04:35:18,167 - mmdet - INFO - Epoch [7][1650/7390] lr: 1.000e-02, eta: 2:45:18, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0030, loss_bbox: 0.7345, loss_centerness: 0.6510, loss: 8.3885 2022-09-29 04:35:29,738 - mmdet - INFO - Epoch [7][1700/7390] lr: 1.000e-02, eta: 2:45:06, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0112, loss_bbox: 0.7293, loss_centerness: 0.6507, loss: 8.3913 2022-09-29 04:35:41,410 - mmdet - INFO - Epoch [7][1750/7390] lr: 1.000e-02, eta: 2:44:54, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0006, loss_bbox: 0.7323, loss_centerness: 0.6505, loss: 8.3834 2022-09-29 04:35:53,030 - mmdet - INFO - Epoch [7][1800/7390] lr: 1.000e-02, eta: 2:44:43, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0014, loss_bbox: 0.7347, loss_centerness: 0.6502, loss: 8.3862 2022-09-29 04:36:04,503 - mmdet - INFO - Epoch [7][1850/7390] lr: 1.000e-02, eta: 2:44:31, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 7.0066, loss_bbox: 0.7313, loss_centerness: 0.6512, loss: 8.3890 2022-09-29 04:36:16,162 - mmdet - INFO - Epoch [7][1900/7390] lr: 1.000e-02, eta: 2:44:20, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0036, loss_bbox: 0.7303, loss_centerness: 0.6506, loss: 8.3844 2022-09-29 04:36:27,981 - mmdet - INFO - Epoch [7][1950/7390] lr: 1.000e-02, eta: 2:44:08, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0031, loss_bbox: 0.7314, loss_centerness: 0.6509, loss: 8.3854 2022-09-29 04:36:39,525 - mmdet - INFO - Epoch [7][2000/7390] lr: 1.000e-02, eta: 2:43:56, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0058, loss_bbox: 0.7310, loss_centerness: 0.6508, loss: 8.3876 2022-09-29 04:36:51,189 - mmdet - INFO - Epoch [7][2050/7390] lr: 1.000e-02, eta: 2:43:45, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0041, loss_bbox: 0.7269, loss_centerness: 0.6502, loss: 8.3812 2022-09-29 04:37:02,831 - mmdet - INFO - Epoch [7][2100/7390] lr: 1.000e-02, eta: 2:43:33, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9992, loss_bbox: 0.7333, loss_centerness: 0.6506, loss: 8.3831 2022-09-29 04:37:14,245 - mmdet - INFO - Epoch [7][2150/7390] lr: 1.000e-02, eta: 2:43:21, time: 0.228, data_time: 0.009, memory: 22925, loss_cls: 6.9971, loss_bbox: 0.7285, loss_centerness: 0.6507, loss: 8.3763 2022-09-29 04:37:25,964 - mmdet - INFO - Epoch [7][2200/7390] lr: 1.000e-02, eta: 2:43:10, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0046, loss_bbox: 0.7319, loss_centerness: 0.6510, loss: 8.3875 2022-09-29 04:37:37,576 - mmdet - INFO - Epoch [7][2250/7390] lr: 1.000e-02, eta: 2:42:58, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0066, loss_bbox: 0.7317, loss_centerness: 0.6509, loss: 8.3893 2022-09-29 04:37:49,196 - mmdet - INFO - Epoch [7][2300/7390] lr: 1.000e-02, eta: 2:42:47, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0074, loss_bbox: 0.7302, loss_centerness: 0.6508, loss: 8.3885 2022-09-29 04:38:00,727 - mmdet - INFO - Epoch [7][2350/7390] lr: 1.000e-02, eta: 2:42:35, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0098, loss_bbox: 0.7303, loss_centerness: 0.6508, loss: 8.3910 2022-09-29 04:38:12,498 - mmdet - INFO - Epoch [7][2400/7390] lr: 1.000e-02, eta: 2:42:24, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0051, loss_bbox: 0.7336, loss_centerness: 0.6502, loss: 8.3889 2022-09-29 04:38:24,110 - mmdet - INFO - Epoch [7][2450/7390] lr: 1.000e-02, eta: 2:42:12, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0062, loss_bbox: 0.7323, loss_centerness: 0.6510, loss: 8.3895 2022-09-29 04:38:35,776 - mmdet - INFO - Epoch [7][2500/7390] lr: 1.000e-02, eta: 2:42:00, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9983, loss_bbox: 0.7303, loss_centerness: 0.6507, loss: 8.3792 2022-09-29 04:38:47,293 - mmdet - INFO - Epoch [7][2550/7390] lr: 1.000e-02, eta: 2:41:49, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0079, loss_bbox: 0.7322, loss_centerness: 0.6504, loss: 8.3906 2022-09-29 04:38:58,777 - mmdet - INFO - Epoch [7][2600/7390] lr: 1.000e-02, eta: 2:41:37, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0131, loss_bbox: 0.7285, loss_centerness: 0.6505, loss: 8.3921 2022-09-29 04:39:10,610 - mmdet - INFO - Epoch [7][2650/7390] lr: 1.000e-02, eta: 2:41:25, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0005, loss_bbox: 0.7303, loss_centerness: 0.6510, loss: 8.3817 2022-09-29 04:39:22,421 - mmdet - INFO - Epoch [7][2700/7390] lr: 1.000e-02, eta: 2:41:14, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0007, loss_bbox: 0.7257, loss_centerness: 0.6510, loss: 8.3775 2022-09-29 04:39:34,193 - mmdet - INFO - Epoch [7][2750/7390] lr: 1.000e-02, eta: 2:41:03, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0072, loss_bbox: 0.7297, loss_centerness: 0.6505, loss: 8.3874 2022-09-29 04:39:45,932 - mmdet - INFO - Epoch [7][2800/7390] lr: 1.000e-02, eta: 2:40:51, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9964, loss_bbox: 0.7299, loss_centerness: 0.6495, loss: 8.3758 2022-09-29 04:39:57,488 - mmdet - INFO - Epoch [7][2850/7390] lr: 1.000e-02, eta: 2:40:39, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0002, loss_bbox: 0.7324, loss_centerness: 0.6504, loss: 8.3829 2022-09-29 04:40:09,044 - mmdet - INFO - Epoch [7][2900/7390] lr: 1.000e-02, eta: 2:40:28, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0092, loss_bbox: 0.7297, loss_centerness: 0.6505, loss: 8.3895 2022-09-29 04:40:20,631 - mmdet - INFO - Epoch [7][2950/7390] lr: 1.000e-02, eta: 2:40:16, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0128, loss_bbox: 0.7296, loss_centerness: 0.6511, loss: 8.3935 2022-09-29 04:40:32,098 - mmdet - INFO - Epoch [7][3000/7390] lr: 1.000e-02, eta: 2:40:04, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 7.0113, loss_bbox: 0.7286, loss_centerness: 0.6508, loss: 8.3907 2022-09-29 04:40:43,791 - mmdet - INFO - Epoch [7][3050/7390] lr: 1.000e-02, eta: 2:39:53, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9975, loss_bbox: 0.7309, loss_centerness: 0.6509, loss: 8.3793 2022-09-29 04:40:55,527 - mmdet - INFO - Epoch [7][3100/7390] lr: 1.000e-02, eta: 2:39:41, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9946, loss_bbox: 0.7323, loss_centerness: 0.6504, loss: 8.3773 2022-09-29 04:41:06,931 - mmdet - INFO - Epoch [7][3150/7390] lr: 1.000e-02, eta: 2:39:29, time: 0.228, data_time: 0.009, memory: 22925, loss_cls: 7.0096, loss_bbox: 0.7291, loss_centerness: 0.6505, loss: 8.3892 2022-09-29 04:41:18,531 - mmdet - INFO - Epoch [7][3200/7390] lr: 1.000e-02, eta: 2:39:18, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9898, loss_bbox: 0.7286, loss_centerness: 0.6505, loss: 8.3688 2022-09-29 04:41:30,167 - mmdet - INFO - Epoch [7][3250/7390] lr: 1.000e-02, eta: 2:39:06, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0098, loss_bbox: 0.7319, loss_centerness: 0.6501, loss: 8.3917 2022-09-29 04:41:41,730 - mmdet - INFO - Epoch [7][3300/7390] lr: 1.000e-02, eta: 2:38:55, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0017, loss_bbox: 0.7328, loss_centerness: 0.6505, loss: 8.3850 2022-09-29 04:41:53,350 - mmdet - INFO - Epoch [7][3350/7390] lr: 1.000e-02, eta: 2:38:43, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9990, loss_bbox: 0.7314, loss_centerness: 0.6503, loss: 8.3807 2022-09-29 04:42:04,881 - mmdet - INFO - Epoch [7][3400/7390] lr: 1.000e-02, eta: 2:38:31, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9993, loss_bbox: 0.7317, loss_centerness: 0.6506, loss: 8.3816 2022-09-29 04:42:16,679 - mmdet - INFO - Epoch [7][3450/7390] lr: 1.000e-02, eta: 2:38:20, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0039, loss_bbox: 0.7319, loss_centerness: 0.6512, loss: 8.3870 2022-09-29 04:42:28,573 - mmdet - INFO - Epoch [7][3500/7390] lr: 1.000e-02, eta: 2:38:08, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 7.0075, loss_bbox: 0.7328, loss_centerness: 0.6506, loss: 8.3909 2022-09-29 04:42:40,288 - mmdet - INFO - Epoch [7][3550/7390] lr: 1.000e-02, eta: 2:37:57, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9973, loss_bbox: 0.7319, loss_centerness: 0.6511, loss: 8.3803 2022-09-29 04:42:51,894 - mmdet - INFO - Epoch [7][3600/7390] lr: 1.000e-02, eta: 2:37:45, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9994, loss_bbox: 0.7294, loss_centerness: 0.6505, loss: 8.3793 2022-09-29 04:43:03,697 - mmdet - INFO - Epoch [7][3650/7390] lr: 1.000e-02, eta: 2:37:34, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0055, loss_bbox: 0.7309, loss_centerness: 0.6506, loss: 8.3870 2022-09-29 04:43:15,307 - mmdet - INFO - Epoch [7][3700/7390] lr: 1.000e-02, eta: 2:37:22, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9929, loss_bbox: 0.7302, loss_centerness: 0.6506, loss: 8.3737 2022-09-29 04:43:26,808 - mmdet - INFO - Epoch [7][3750/7390] lr: 1.000e-02, eta: 2:37:10, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9964, loss_bbox: 0.7305, loss_centerness: 0.6509, loss: 8.3779 2022-09-29 04:43:38,614 - mmdet - INFO - Epoch [7][3800/7390] lr: 1.000e-02, eta: 2:36:59, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9964, loss_bbox: 0.7283, loss_centerness: 0.6506, loss: 8.3753 2022-09-29 04:43:50,152 - mmdet - INFO - Epoch [7][3850/7390] lr: 1.000e-02, eta: 2:36:47, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9957, loss_bbox: 0.7307, loss_centerness: 0.6504, loss: 8.3768 2022-09-29 04:44:01,611 - mmdet - INFO - Epoch [7][3900/7390] lr: 1.000e-02, eta: 2:36:36, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9961, loss_bbox: 0.7339, loss_centerness: 0.6509, loss: 8.3809 2022-09-29 04:44:13,372 - mmdet - INFO - Epoch [7][3950/7390] lr: 1.000e-02, eta: 2:36:24, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0027, loss_bbox: 0.7342, loss_centerness: 0.6498, loss: 8.3868 2022-09-29 04:44:24,760 - mmdet - INFO - Epoch [7][4000/7390] lr: 1.000e-02, eta: 2:36:12, time: 0.228, data_time: 0.009, memory: 22925, loss_cls: 7.0013, loss_bbox: 0.7317, loss_centerness: 0.6508, loss: 8.3839 2022-09-29 04:44:36,464 - mmdet - INFO - Epoch [7][4050/7390] lr: 1.000e-02, eta: 2:36:01, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0044, loss_bbox: 0.7283, loss_centerness: 0.6506, loss: 8.3833 2022-09-29 04:44:48,078 - mmdet - INFO - Epoch [7][4100/7390] lr: 1.000e-02, eta: 2:35:49, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9921, loss_bbox: 0.7304, loss_centerness: 0.6505, loss: 8.3730 2022-09-29 04:44:59,596 - mmdet - INFO - Epoch [7][4150/7390] lr: 1.000e-02, eta: 2:35:37, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0026, loss_bbox: 0.7309, loss_centerness: 0.6505, loss: 8.3840 2022-09-29 04:45:11,316 - mmdet - INFO - Epoch [7][4200/7390] lr: 1.000e-02, eta: 2:35:26, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0086, loss_bbox: 0.7295, loss_centerness: 0.6507, loss: 8.3888 2022-09-29 04:45:22,901 - mmdet - INFO - Epoch [7][4250/7390] lr: 1.000e-02, eta: 2:35:14, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0006, loss_bbox: 0.7299, loss_centerness: 0.6504, loss: 8.3809 2022-09-29 04:45:34,603 - mmdet - INFO - Epoch [7][4300/7390] lr: 1.000e-02, eta: 2:35:03, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9907, loss_bbox: 0.7330, loss_centerness: 0.6503, loss: 8.3740 2022-09-29 04:45:46,338 - mmdet - INFO - Epoch [7][4350/7390] lr: 1.000e-02, eta: 2:34:51, time: 0.235, data_time: 0.008, memory: 22925, loss_cls: 7.0020, loss_bbox: 0.7296, loss_centerness: 0.6507, loss: 8.3823 2022-09-29 04:45:57,930 - mmdet - INFO - Epoch [7][4400/7390] lr: 1.000e-02, eta: 2:34:39, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0043, loss_bbox: 0.7322, loss_centerness: 0.6507, loss: 8.3872 2022-09-29 04:46:09,528 - mmdet - INFO - Epoch [7][4450/7390] lr: 1.000e-02, eta: 2:34:28, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9835, loss_bbox: 0.7301, loss_centerness: 0.6489, loss: 8.3624 2022-09-29 04:46:21,086 - mmdet - INFO - Epoch [7][4500/7390] lr: 1.000e-02, eta: 2:34:16, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9978, loss_bbox: 0.7304, loss_centerness: 0.6508, loss: 8.3790 2022-09-29 04:46:32,710 - mmdet - INFO - Epoch [7][4550/7390] lr: 1.000e-02, eta: 2:34:05, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9984, loss_bbox: 0.7244, loss_centerness: 0.6507, loss: 8.3735 2022-09-29 04:46:44,340 - mmdet - INFO - Epoch [7][4600/7390] lr: 1.000e-02, eta: 2:33:53, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0034, loss_bbox: 0.7277, loss_centerness: 0.6507, loss: 8.3818 2022-09-29 04:46:56,043 - mmdet - INFO - Epoch [7][4650/7390] lr: 1.000e-02, eta: 2:33:41, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9974, loss_bbox: 0.7274, loss_centerness: 0.6509, loss: 8.3757 2022-09-29 04:47:07,735 - mmdet - INFO - Epoch [7][4700/7390] lr: 1.000e-02, eta: 2:33:30, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0022, loss_bbox: 0.7295, loss_centerness: 0.6510, loss: 8.3828 2022-09-29 04:47:19,399 - mmdet - INFO - Epoch [7][4750/7390] lr: 1.000e-02, eta: 2:33:18, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9965, loss_bbox: 0.7271, loss_centerness: 0.6505, loss: 8.3742 2022-09-29 04:47:30,944 - mmdet - INFO - Epoch [7][4800/7390] lr: 1.000e-02, eta: 2:33:07, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0029, loss_bbox: 0.7304, loss_centerness: 0.6506, loss: 8.3839 2022-09-29 04:47:42,603 - mmdet - INFO - Epoch [7][4850/7390] lr: 1.000e-02, eta: 2:32:55, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0058, loss_bbox: 0.7325, loss_centerness: 0.6504, loss: 8.3887 2022-09-29 04:47:54,146 - mmdet - INFO - Epoch [7][4900/7390] lr: 1.000e-02, eta: 2:32:43, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9968, loss_bbox: 0.7331, loss_centerness: 0.6503, loss: 8.3803 2022-09-29 04:48:05,700 - mmdet - INFO - Epoch [7][4950/7390] lr: 1.000e-02, eta: 2:32:32, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9988, loss_bbox: 0.7310, loss_centerness: 0.6509, loss: 8.3807 2022-09-29 04:48:17,357 - mmdet - INFO - Epoch [7][5000/7390] lr: 1.000e-02, eta: 2:32:20, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9636, loss_bbox: 0.7306, loss_centerness: 0.6471, loss: 8.3413 2022-09-29 04:48:28,926 - mmdet - INFO - Epoch [7][5050/7390] lr: 1.000e-02, eta: 2:32:08, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9969, loss_bbox: 0.7308, loss_centerness: 0.6510, loss: 8.3787 2022-09-29 04:48:40,388 - mmdet - INFO - Epoch [7][5100/7390] lr: 1.000e-02, eta: 2:31:57, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9791, loss_bbox: 0.7330, loss_centerness: 0.6496, loss: 8.3616 2022-09-29 04:48:52,194 - mmdet - INFO - Epoch [7][5150/7390] lr: 1.000e-02, eta: 2:31:45, time: 0.236, data_time: 0.008, memory: 22925, loss_cls: 6.9924, loss_bbox: 0.7324, loss_centerness: 0.6511, loss: 8.3758 2022-09-29 04:49:03,710 - mmdet - INFO - Epoch [7][5200/7390] lr: 1.000e-02, eta: 2:31:34, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0034, loss_bbox: 0.7357, loss_centerness: 0.6506, loss: 8.3898 2022-09-29 04:49:15,373 - mmdet - INFO - Epoch [7][5250/7390] lr: 1.000e-02, eta: 2:31:22, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9957, loss_bbox: 0.7295, loss_centerness: 0.6504, loss: 8.3756 2022-09-29 04:49:27,000 - mmdet - INFO - Epoch [7][5300/7390] lr: 1.000e-02, eta: 2:31:10, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9991, loss_bbox: 0.7271, loss_centerness: 0.6504, loss: 8.3767 2022-09-29 04:49:38,439 - mmdet - INFO - Epoch [7][5350/7390] lr: 1.000e-02, eta: 2:30:59, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9980, loss_bbox: 0.7334, loss_centerness: 0.6503, loss: 8.3817 2022-09-29 04:49:49,923 - mmdet - INFO - Epoch [7][5400/7390] lr: 1.000e-02, eta: 2:30:47, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0090, loss_bbox: 0.7305, loss_centerness: 0.6507, loss: 8.3903 2022-09-29 04:50:01,514 - mmdet - INFO - Epoch [7][5450/7390] lr: 1.000e-02, eta: 2:30:35, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 7.0048, loss_bbox: 0.7341, loss_centerness: 0.6500, loss: 8.3890 2022-09-29 04:50:13,170 - mmdet - INFO - Epoch [7][5500/7390] lr: 1.000e-02, eta: 2:30:24, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9966, loss_bbox: 0.7316, loss_centerness: 0.6507, loss: 8.3789 2022-09-29 04:50:24,919 - mmdet - INFO - Epoch [7][5550/7390] lr: 1.000e-02, eta: 2:30:12, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9862, loss_bbox: 0.7286, loss_centerness: 0.6488, loss: 8.3637 2022-09-29 04:50:36,599 - mmdet - INFO - Epoch [7][5600/7390] lr: 1.000e-02, eta: 2:30:01, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9960, loss_bbox: 0.7311, loss_centerness: 0.6502, loss: 8.3773 2022-09-29 04:50:48,204 - mmdet - INFO - Epoch [7][5650/7390] lr: 1.000e-02, eta: 2:29:49, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9902, loss_bbox: 0.7288, loss_centerness: 0.6509, loss: 8.3699 2022-09-29 04:50:59,893 - mmdet - INFO - Epoch [7][5700/7390] lr: 1.000e-02, eta: 2:29:37, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0063, loss_bbox: 0.7298, loss_centerness: 0.6506, loss: 8.3867 2022-09-29 04:51:11,431 - mmdet - INFO - Epoch [7][5750/7390] lr: 1.000e-02, eta: 2:29:26, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9980, loss_bbox: 0.7279, loss_centerness: 0.6512, loss: 8.3772 2022-09-29 04:51:22,879 - mmdet - INFO - Epoch [7][5800/7390] lr: 1.000e-02, eta: 2:29:14, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 7.0025, loss_bbox: 0.7312, loss_centerness: 0.6507, loss: 8.3843 2022-09-29 04:51:34,428 - mmdet - INFO - Epoch [7][5850/7390] lr: 1.000e-02, eta: 2:29:02, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9989, loss_bbox: 0.7285, loss_centerness: 0.6508, loss: 8.3782 2022-09-29 04:51:46,137 - mmdet - INFO - Epoch [7][5900/7390] lr: 1.000e-02, eta: 2:28:51, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0034, loss_bbox: 0.7253, loss_centerness: 0.6508, loss: 8.3795 2022-09-29 04:51:57,731 - mmdet - INFO - Epoch [7][5950/7390] lr: 1.000e-02, eta: 2:28:39, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9890, loss_bbox: 0.7305, loss_centerness: 0.6503, loss: 8.3698 2022-09-29 04:52:09,255 - mmdet - INFO - Epoch [7][6000/7390] lr: 1.000e-02, eta: 2:28:27, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9995, loss_bbox: 0.7279, loss_centerness: 0.6501, loss: 8.3775 2022-09-29 04:52:20,753 - mmdet - INFO - Epoch [7][6050/7390] lr: 1.000e-02, eta: 2:28:16, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0003, loss_bbox: 0.7285, loss_centerness: 0.6510, loss: 8.3798 2022-09-29 04:52:32,437 - mmdet - INFO - Epoch [7][6100/7390] lr: 1.000e-02, eta: 2:28:04, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9933, loss_bbox: 0.7279, loss_centerness: 0.6510, loss: 8.3722 2022-09-29 04:52:43,954 - mmdet - INFO - Epoch [7][6150/7390] lr: 1.000e-02, eta: 2:27:52, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9940, loss_bbox: 0.7280, loss_centerness: 0.6511, loss: 8.3731 2022-09-29 04:52:55,630 - mmdet - INFO - Epoch [7][6200/7390] lr: 1.000e-02, eta: 2:27:41, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9981, loss_bbox: 0.7278, loss_centerness: 0.6509, loss: 8.3767 2022-09-29 04:53:07,123 - mmdet - INFO - Epoch [7][6250/7390] lr: 1.000e-02, eta: 2:27:29, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0125, loss_bbox: 0.7318, loss_centerness: 0.6505, loss: 8.3947 2022-09-29 04:53:18,668 - mmdet - INFO - Epoch [7][6300/7390] lr: 1.000e-02, eta: 2:27:17, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0009, loss_bbox: 0.7310, loss_centerness: 0.6499, loss: 8.3818 2022-09-29 04:53:30,264 - mmdet - INFO - Epoch [7][6350/7390] lr: 1.000e-02, eta: 2:27:06, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0028, loss_bbox: 0.7314, loss_centerness: 0.6499, loss: 8.3842 2022-09-29 04:53:41,864 - mmdet - INFO - Epoch [7][6400/7390] lr: 1.000e-02, eta: 2:26:54, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9960, loss_bbox: 0.7323, loss_centerness: 0.6502, loss: 8.3785 2022-09-29 04:53:53,346 - mmdet - INFO - Epoch [7][6450/7390] lr: 1.000e-02, eta: 2:26:42, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9990, loss_bbox: 0.7300, loss_centerness: 0.6512, loss: 8.3802 2022-09-29 04:54:04,845 - mmdet - INFO - Epoch [7][6500/7390] lr: 1.000e-02, eta: 2:26:31, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9896, loss_bbox: 0.7265, loss_centerness: 0.6499, loss: 8.3661 2022-09-29 04:54:16,576 - mmdet - INFO - Epoch [7][6550/7390] lr: 1.000e-02, eta: 2:26:19, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0037, loss_bbox: 0.7308, loss_centerness: 0.6504, loss: 8.3850 2022-09-29 04:54:28,202 - mmdet - INFO - Epoch [7][6600/7390] lr: 1.000e-02, eta: 2:26:08, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0081, loss_bbox: 0.7301, loss_centerness: 0.6505, loss: 8.3887 2022-09-29 04:54:39,872 - mmdet - INFO - Epoch [7][6650/7390] lr: 1.000e-02, eta: 2:25:56, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9960, loss_bbox: 0.7301, loss_centerness: 0.6507, loss: 8.3769 2022-09-29 04:54:51,351 - mmdet - INFO - Epoch [7][6700/7390] lr: 1.000e-02, eta: 2:25:44, time: 0.229, data_time: 0.008, memory: 22925, loss_cls: 6.9942, loss_bbox: 0.7282, loss_centerness: 0.6508, loss: 8.3731 2022-09-29 04:55:02,961 - mmdet - INFO - Epoch [7][6750/7390] lr: 1.000e-02, eta: 2:25:33, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9949, loss_bbox: 0.7317, loss_centerness: 0.6507, loss: 8.3773 2022-09-29 04:55:14,547 - mmdet - INFO - Epoch [7][6800/7390] lr: 1.000e-02, eta: 2:25:21, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0076, loss_bbox: 0.7297, loss_centerness: 0.6512, loss: 8.3884 2022-09-29 04:55:26,119 - mmdet - INFO - Epoch [7][6850/7390] lr: 1.000e-02, eta: 2:25:09, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0026, loss_bbox: 0.7299, loss_centerness: 0.6509, loss: 8.3834 2022-09-29 04:55:37,701 - mmdet - INFO - Epoch [7][6900/7390] lr: 1.000e-02, eta: 2:24:58, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0002, loss_bbox: 0.7306, loss_centerness: 0.6506, loss: 8.3814 2022-09-29 04:55:49,367 - mmdet - INFO - Epoch [7][6950/7390] lr: 1.000e-02, eta: 2:24:46, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9952, loss_bbox: 0.7277, loss_centerness: 0.6506, loss: 8.3735 2022-09-29 04:56:00,927 - mmdet - INFO - Epoch [7][7000/7390] lr: 1.000e-02, eta: 2:24:35, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9947, loss_bbox: 0.7259, loss_centerness: 0.6506, loss: 8.3713 2022-09-29 04:56:12,925 - mmdet - INFO - Epoch [7][7050/7390] lr: 1.000e-02, eta: 2:24:23, time: 0.240, data_time: 0.009, memory: 22925, loss_cls: 6.9963, loss_bbox: 0.7281, loss_centerness: 0.6505, loss: 8.3749 2022-09-29 04:56:24,535 - mmdet - INFO - Epoch [7][7100/7390] lr: 1.000e-02, eta: 2:24:12, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9954, loss_bbox: 0.7302, loss_centerness: 0.6516, loss: 8.3771 2022-09-29 04:56:36,167 - mmdet - INFO - Epoch [7][7150/7390] lr: 1.000e-02, eta: 2:24:00, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9971, loss_bbox: 0.7303, loss_centerness: 0.6502, loss: 8.3776 2022-09-29 04:56:47,765 - mmdet - INFO - Epoch [7][7200/7390] lr: 1.000e-02, eta: 2:23:48, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9972, loss_bbox: 0.7301, loss_centerness: 0.6502, loss: 8.3775 2022-09-29 04:56:59,424 - mmdet - INFO - Epoch [7][7250/7390] lr: 1.000e-02, eta: 2:23:37, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0065, loss_bbox: 0.7321, loss_centerness: 0.6511, loss: 8.3898 2022-09-29 04:57:11,108 - mmdet - INFO - Epoch [7][7300/7390] lr: 1.000e-02, eta: 2:23:25, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9984, loss_bbox: 0.7294, loss_centerness: 0.6505, loss: 8.3783 2022-09-29 04:57:22,745 - mmdet - INFO - Epoch [7][7350/7390] lr: 1.000e-02, eta: 2:23:14, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9916, loss_bbox: 0.7309, loss_centerness: 0.6506, loss: 8.3731 2022-09-29 04:57:32,390 - mmdet - INFO - Saving checkpoint at 7 epochs 2022-09-29 04:57:48,347 - mmdet - INFO - Epoch [8][50/7390] lr: 1.000e-02, eta: 2:22:48, time: 0.301, data_time: 0.072, memory: 22925, loss_cls: 6.9911, loss_bbox: 0.7308, loss_centerness: 0.6505, loss: 8.3724 2022-09-29 04:58:00,229 - mmdet - INFO - Epoch [8][100/7390] lr: 1.000e-02, eta: 2:22:37, time: 0.238, data_time: 0.010, memory: 22925, loss_cls: 7.0028, loss_bbox: 0.7305, loss_centerness: 0.6506, loss: 8.3840 2022-09-29 04:58:11,918 - mmdet - INFO - Epoch [8][150/7390] lr: 1.000e-02, eta: 2:22:26, time: 0.234, data_time: 0.010, memory: 22925, loss_cls: 6.9981, loss_bbox: 0.7267, loss_centerness: 0.6506, loss: 8.3754 2022-09-29 04:58:23,839 - mmdet - INFO - Epoch [8][200/7390] lr: 1.000e-02, eta: 2:22:14, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9985, loss_bbox: 0.7279, loss_centerness: 0.6503, loss: 8.3766 2022-09-29 04:58:35,563 - mmdet - INFO - Epoch [8][250/7390] lr: 1.000e-02, eta: 2:22:03, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0008, loss_bbox: 0.7270, loss_centerness: 0.6507, loss: 8.3785 2022-09-29 04:58:47,226 - mmdet - INFO - Epoch [8][300/7390] lr: 1.000e-02, eta: 2:21:51, time: 0.234, data_time: 0.010, memory: 22925, loss_cls: 6.9897, loss_bbox: 0.7301, loss_centerness: 0.6505, loss: 8.3703 2022-09-29 04:58:58,795 - mmdet - INFO - Epoch [8][350/7390] lr: 1.000e-02, eta: 2:21:39, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0006, loss_bbox: 0.7282, loss_centerness: 0.6500, loss: 8.3789 2022-09-29 04:59:10,642 - mmdet - INFO - Epoch [8][400/7390] lr: 1.000e-02, eta: 2:21:28, time: 0.237, data_time: 0.010, memory: 22925, loss_cls: 6.9962, loss_bbox: 0.7298, loss_centerness: 0.6504, loss: 8.3764 2022-09-29 04:59:22,294 - mmdet - INFO - Epoch [8][450/7390] lr: 1.000e-02, eta: 2:21:16, time: 0.233, data_time: 0.010, memory: 22925, loss_cls: 6.9976, loss_bbox: 0.7302, loss_centerness: 0.6506, loss: 8.3784 2022-09-29 04:59:33,976 - mmdet - INFO - Epoch [8][500/7390] lr: 1.000e-02, eta: 2:21:05, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9875, loss_bbox: 0.7302, loss_centerness: 0.6507, loss: 8.3684 2022-09-29 04:59:45,584 - mmdet - INFO - Epoch [8][550/7390] lr: 1.000e-02, eta: 2:20:53, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9975, loss_bbox: 0.7305, loss_centerness: 0.6505, loss: 8.3786 2022-09-29 04:59:57,183 - mmdet - INFO - Epoch [8][600/7390] lr: 1.000e-02, eta: 2:20:42, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0012, loss_bbox: 0.7289, loss_centerness: 0.6509, loss: 8.3810 2022-09-29 05:00:08,739 - mmdet - INFO - Epoch [8][650/7390] lr: 1.000e-02, eta: 2:20:30, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0069, loss_bbox: 0.7313, loss_centerness: 0.6503, loss: 8.3885 2022-09-29 05:00:20,335 - mmdet - INFO - Epoch [8][700/7390] lr: 1.000e-02, eta: 2:20:18, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9989, loss_bbox: 0.7305, loss_centerness: 0.6507, loss: 8.3801 2022-09-29 05:00:32,052 - mmdet - INFO - Epoch [8][750/7390] lr: 1.000e-02, eta: 2:20:07, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9933, loss_bbox: 0.7283, loss_centerness: 0.6503, loss: 8.3719 2022-09-29 05:00:43,900 - mmdet - INFO - Epoch [8][800/7390] lr: 1.000e-02, eta: 2:19:55, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9976, loss_bbox: 0.7290, loss_centerness: 0.6510, loss: 8.3776 2022-09-29 05:00:55,799 - mmdet - INFO - Epoch [8][850/7390] lr: 1.000e-02, eta: 2:19:44, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9935, loss_bbox: 0.7334, loss_centerness: 0.6506, loss: 8.3775 2022-09-29 05:01:07,514 - mmdet - INFO - Epoch [8][900/7390] lr: 1.000e-02, eta: 2:19:32, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9930, loss_bbox: 0.7295, loss_centerness: 0.6506, loss: 8.3731 2022-09-29 05:01:19,253 - mmdet - INFO - Epoch [8][950/7390] lr: 1.000e-02, eta: 2:19:21, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9959, loss_bbox: 0.7281, loss_centerness: 0.6506, loss: 8.3746 2022-09-29 05:01:30,702 - mmdet - INFO - Epoch [8][1000/7390] lr: 1.000e-02, eta: 2:19:09, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9969, loss_bbox: 0.7285, loss_centerness: 0.6508, loss: 8.3762 2022-09-29 05:01:42,486 - mmdet - INFO - Epoch [8][1050/7390] lr: 1.000e-02, eta: 2:18:58, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9952, loss_bbox: 0.7309, loss_centerness: 0.6504, loss: 8.3765 2022-09-29 05:01:54,261 - mmdet - INFO - Epoch [8][1100/7390] lr: 1.000e-02, eta: 2:18:46, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9975, loss_bbox: 0.7272, loss_centerness: 0.6507, loss: 8.3755 2022-09-29 05:02:06,047 - mmdet - INFO - Epoch [8][1150/7390] lr: 1.000e-02, eta: 2:18:35, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 7.0016, loss_bbox: 0.7291, loss_centerness: 0.6506, loss: 8.3813 2022-09-29 05:02:17,912 - mmdet - INFO - Epoch [8][1200/7390] lr: 1.000e-02, eta: 2:18:23, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9924, loss_bbox: 0.7312, loss_centerness: 0.6506, loss: 8.3742 2022-09-29 05:02:29,360 - mmdet - INFO - Epoch [8][1250/7390] lr: 1.000e-02, eta: 2:18:11, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9972, loss_bbox: 0.7298, loss_centerness: 0.6505, loss: 8.3776 2022-09-29 05:02:41,040 - mmdet - INFO - Epoch [8][1300/7390] lr: 1.000e-02, eta: 2:18:00, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9984, loss_bbox: 0.7294, loss_centerness: 0.6510, loss: 8.3787 2022-09-29 05:02:52,532 - mmdet - INFO - Epoch [8][1350/7390] lr: 1.000e-02, eta: 2:17:48, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0035, loss_bbox: 0.7284, loss_centerness: 0.6505, loss: 8.3825 2022-09-29 05:03:04,145 - mmdet - INFO - Epoch [8][1400/7390] lr: 1.000e-02, eta: 2:17:37, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9887, loss_bbox: 0.7284, loss_centerness: 0.6498, loss: 8.3670 2022-09-29 05:03:15,783 - mmdet - INFO - Epoch [8][1450/7390] lr: 1.000e-02, eta: 2:17:25, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9913, loss_bbox: 0.7281, loss_centerness: 0.6500, loss: 8.3694 2022-09-29 05:03:27,456 - mmdet - INFO - Epoch [8][1500/7390] lr: 1.000e-02, eta: 2:17:13, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9939, loss_bbox: 0.7271, loss_centerness: 0.6504, loss: 8.3714 2022-09-29 05:03:39,092 - mmdet - INFO - Epoch [8][1550/7390] lr: 1.000e-02, eta: 2:17:02, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0062, loss_bbox: 0.7295, loss_centerness: 0.6509, loss: 8.3867 2022-09-29 05:03:50,949 - mmdet - INFO - Epoch [8][1600/7390] lr: 1.000e-02, eta: 2:16:50, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9971, loss_bbox: 0.7283, loss_centerness: 0.6511, loss: 8.3765 2022-09-29 05:04:02,801 - mmdet - INFO - Epoch [8][1650/7390] lr: 1.000e-02, eta: 2:16:39, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9881, loss_bbox: 0.7308, loss_centerness: 0.6505, loss: 8.3694 2022-09-29 05:04:14,360 - mmdet - INFO - Epoch [8][1700/7390] lr: 1.000e-02, eta: 2:16:27, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0040, loss_bbox: 0.7307, loss_centerness: 0.6507, loss: 8.3854 2022-09-29 05:04:25,838 - mmdet - INFO - Epoch [8][1750/7390] lr: 1.000e-02, eta: 2:16:16, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9877, loss_bbox: 0.7291, loss_centerness: 0.6504, loss: 8.3672 2022-09-29 05:04:37,426 - mmdet - INFO - Epoch [8][1800/7390] lr: 1.000e-02, eta: 2:16:04, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9968, loss_bbox: 0.7295, loss_centerness: 0.6504, loss: 8.3767 2022-09-29 05:04:48,909 - mmdet - INFO - Epoch [8][1850/7390] lr: 1.000e-02, eta: 2:15:52, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9977, loss_bbox: 0.7308, loss_centerness: 0.6502, loss: 8.3787 2022-09-29 05:05:00,444 - mmdet - INFO - Epoch [8][1900/7390] lr: 1.000e-02, eta: 2:15:41, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 7.0007, loss_bbox: 0.7291, loss_centerness: 0.6508, loss: 8.3806 2022-09-29 05:05:12,062 - mmdet - INFO - Epoch [8][1950/7390] lr: 1.000e-02, eta: 2:15:29, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9983, loss_bbox: 0.7272, loss_centerness: 0.6507, loss: 8.3762 2022-09-29 05:05:23,723 - mmdet - INFO - Epoch [8][2000/7390] lr: 1.000e-02, eta: 2:15:17, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9930, loss_bbox: 0.7277, loss_centerness: 0.6505, loss: 8.3711 2022-09-29 05:05:35,478 - mmdet - INFO - Epoch [8][2050/7390] lr: 1.000e-02, eta: 2:15:06, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0005, loss_bbox: 0.7310, loss_centerness: 0.6511, loss: 8.3826 2022-09-29 05:05:47,199 - mmdet - INFO - Epoch [8][2100/7390] lr: 1.000e-02, eta: 2:14:54, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0030, loss_bbox: 0.7310, loss_centerness: 0.6508, loss: 8.3848 2022-09-29 05:05:58,820 - mmdet - INFO - Epoch [8][2150/7390] lr: 1.000e-02, eta: 2:14:43, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9939, loss_bbox: 0.7312, loss_centerness: 0.6502, loss: 8.3753 2022-09-29 05:06:10,518 - mmdet - INFO - Epoch [8][2200/7390] lr: 1.000e-02, eta: 2:14:31, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9864, loss_bbox: 0.7289, loss_centerness: 0.6502, loss: 8.3655 2022-09-29 05:06:22,100 - mmdet - INFO - Epoch [8][2250/7390] lr: 1.000e-02, eta: 2:14:19, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9979, loss_bbox: 0.7295, loss_centerness: 0.6505, loss: 8.3778 2022-09-29 05:06:33,845 - mmdet - INFO - Epoch [8][2300/7390] lr: 1.000e-02, eta: 2:14:08, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 7.0012, loss_bbox: 0.7303, loss_centerness: 0.6503, loss: 8.3818 2022-09-29 05:06:45,364 - mmdet - INFO - Epoch [8][2350/7390] lr: 1.000e-02, eta: 2:13:56, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9940, loss_bbox: 0.7274, loss_centerness: 0.6511, loss: 8.3725 2022-09-29 05:06:57,001 - mmdet - INFO - Epoch [8][2400/7390] lr: 1.000e-02, eta: 2:13:45, time: 0.233, data_time: 0.010, memory: 22925, loss_cls: 6.9918, loss_bbox: 0.7303, loss_centerness: 0.6499, loss: 8.3719 2022-09-29 05:07:08,541 - mmdet - INFO - Epoch [8][2450/7390] lr: 1.000e-02, eta: 2:13:33, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9964, loss_bbox: 0.7334, loss_centerness: 0.6504, loss: 8.3802 2022-09-29 05:07:20,641 - mmdet - INFO - Epoch [8][2500/7390] lr: 1.000e-02, eta: 2:13:22, time: 0.242, data_time: 0.009, memory: 22925, loss_cls: 6.9959, loss_bbox: 0.7284, loss_centerness: 0.6510, loss: 8.3753 2022-09-29 05:07:32,361 - mmdet - INFO - Epoch [8][2550/7390] lr: 1.000e-02, eta: 2:13:10, time: 0.234, data_time: 0.010, memory: 22925, loss_cls: 6.9957, loss_bbox: 0.7297, loss_centerness: 0.6506, loss: 8.3760 2022-09-29 05:07:44,224 - mmdet - INFO - Epoch [8][2600/7390] lr: 1.000e-02, eta: 2:12:59, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9919, loss_bbox: 0.7287, loss_centerness: 0.6508, loss: 8.3714 2022-09-29 05:07:55,956 - mmdet - INFO - Epoch [8][2650/7390] lr: 1.000e-02, eta: 2:12:47, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9991, loss_bbox: 0.7331, loss_centerness: 0.6508, loss: 8.3830 2022-09-29 05:08:07,634 - mmdet - INFO - Epoch [8][2700/7390] lr: 1.000e-02, eta: 2:12:36, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9956, loss_bbox: 0.7256, loss_centerness: 0.6504, loss: 8.3716 2022-09-29 05:08:19,208 - mmdet - INFO - Epoch [8][2750/7390] lr: 1.000e-02, eta: 2:12:24, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9889, loss_bbox: 0.7260, loss_centerness: 0.6505, loss: 8.3654 2022-09-29 05:08:30,888 - mmdet - INFO - Epoch [8][2800/7390] lr: 1.000e-02, eta: 2:12:12, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9893, loss_bbox: 0.7275, loss_centerness: 0.6505, loss: 8.3673 2022-09-29 05:08:42,439 - mmdet - INFO - Epoch [8][2850/7390] lr: 1.000e-02, eta: 2:12:01, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9927, loss_bbox: 0.7256, loss_centerness: 0.6502, loss: 8.3685 2022-09-29 05:08:54,078 - mmdet - INFO - Epoch [8][2900/7390] lr: 1.000e-02, eta: 2:11:49, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0005, loss_bbox: 0.7288, loss_centerness: 0.6500, loss: 8.3793 2022-09-29 05:09:05,929 - mmdet - INFO - Epoch [8][2950/7390] lr: 1.000e-02, eta: 2:11:38, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9887, loss_bbox: 0.7286, loss_centerness: 0.6505, loss: 8.3678 2022-09-29 05:09:17,480 - mmdet - INFO - Epoch [8][3000/7390] lr: 1.000e-02, eta: 2:11:26, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9908, loss_bbox: 0.7288, loss_centerness: 0.6506, loss: 8.3701 2022-09-29 05:09:29,245 - mmdet - INFO - Epoch [8][3050/7390] lr: 1.000e-02, eta: 2:11:14, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9972, loss_bbox: 0.7296, loss_centerness: 0.6508, loss: 8.3776 2022-09-29 05:09:40,733 - mmdet - INFO - Epoch [8][3100/7390] lr: 1.000e-02, eta: 2:11:03, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0027, loss_bbox: 0.7277, loss_centerness: 0.6499, loss: 8.3803 2022-09-29 05:09:52,343 - mmdet - INFO - Epoch [8][3150/7390] lr: 1.000e-02, eta: 2:10:51, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9974, loss_bbox: 0.7304, loss_centerness: 0.6516, loss: 8.3794 2022-09-29 05:10:04,249 - mmdet - INFO - Epoch [8][3200/7390] lr: 1.000e-02, eta: 2:10:40, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9870, loss_bbox: 0.7282, loss_centerness: 0.6511, loss: 8.3663 2022-09-29 05:10:16,267 - mmdet - INFO - Epoch [8][3250/7390] lr: 1.000e-02, eta: 2:10:28, time: 0.240, data_time: 0.009, memory: 22925, loss_cls: 6.9923, loss_bbox: 0.7304, loss_centerness: 0.6508, loss: 8.3734 2022-09-29 05:10:27,969 - mmdet - INFO - Epoch [8][3300/7390] lr: 1.000e-02, eta: 2:10:17, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9891, loss_bbox: 0.7269, loss_centerness: 0.6511, loss: 8.3670 2022-09-29 05:10:39,876 - mmdet - INFO - Epoch [8][3350/7390] lr: 1.000e-02, eta: 2:10:05, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9919, loss_bbox: 0.7253, loss_centerness: 0.6508, loss: 8.3681 2022-09-29 05:10:51,423 - mmdet - INFO - Epoch [8][3400/7390] lr: 1.000e-02, eta: 2:09:54, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9894, loss_bbox: 0.7300, loss_centerness: 0.6506, loss: 8.3700 2022-09-29 05:11:03,038 - mmdet - INFO - Epoch [8][3450/7390] lr: 1.000e-02, eta: 2:09:42, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0021, loss_bbox: 0.7331, loss_centerness: 0.6505, loss: 8.3857 2022-09-29 05:11:14,560 - mmdet - INFO - Epoch [8][3500/7390] lr: 1.000e-02, eta: 2:09:30, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9975, loss_bbox: 0.7285, loss_centerness: 0.6503, loss: 8.3763 2022-09-29 05:11:26,225 - mmdet - INFO - Epoch [8][3550/7390] lr: 1.000e-02, eta: 2:09:19, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9795, loss_bbox: 0.7297, loss_centerness: 0.6490, loss: 8.3582 2022-09-29 05:11:38,099 - mmdet - INFO - Epoch [8][3600/7390] lr: 1.000e-02, eta: 2:09:07, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 7.0035, loss_bbox: 0.7308, loss_centerness: 0.6509, loss: 8.3852 2022-09-29 05:11:49,606 - mmdet - INFO - Epoch [8][3650/7390] lr: 1.000e-02, eta: 2:08:56, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9908, loss_bbox: 0.7303, loss_centerness: 0.6504, loss: 8.3715 2022-09-29 05:12:01,375 - mmdet - INFO - Epoch [8][3700/7390] lr: 1.000e-02, eta: 2:08:44, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9974, loss_bbox: 0.7292, loss_centerness: 0.6509, loss: 8.3776 2022-09-29 05:12:13,020 - mmdet - INFO - Epoch [8][3750/7390] lr: 1.000e-02, eta: 2:08:33, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9946, loss_bbox: 0.7285, loss_centerness: 0.6508, loss: 8.3739 2022-09-29 05:12:24,745 - mmdet - INFO - Epoch [8][3800/7390] lr: 1.000e-02, eta: 2:08:21, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0032, loss_bbox: 0.7273, loss_centerness: 0.6502, loss: 8.3807 2022-09-29 05:12:36,249 - mmdet - INFO - Epoch [8][3850/7390] lr: 1.000e-02, eta: 2:08:09, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9782, loss_bbox: 0.7274, loss_centerness: 0.6486, loss: 8.3543 2022-09-29 05:12:47,799 - mmdet - INFO - Epoch [8][3900/7390] lr: 1.000e-02, eta: 2:07:58, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9867, loss_bbox: 0.7272, loss_centerness: 0.6502, loss: 8.3640 2022-09-29 05:12:59,337 - mmdet - INFO - Epoch [8][3950/7390] lr: 1.000e-02, eta: 2:07:46, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9953, loss_bbox: 0.7292, loss_centerness: 0.6510, loss: 8.3756 2022-09-29 05:13:10,967 - mmdet - INFO - Epoch [8][4000/7390] lr: 1.000e-02, eta: 2:07:34, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 7.0061, loss_bbox: 0.7294, loss_centerness: 0.6503, loss: 8.3858 2022-09-29 05:13:22,632 - mmdet - INFO - Epoch [8][4050/7390] lr: 1.000e-02, eta: 2:07:23, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9914, loss_bbox: 0.7275, loss_centerness: 0.6504, loss: 8.3693 2022-09-29 05:13:34,209 - mmdet - INFO - Epoch [8][4100/7390] lr: 1.000e-02, eta: 2:07:11, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 7.0013, loss_bbox: 0.7290, loss_centerness: 0.6510, loss: 8.3813 2022-09-29 05:13:45,920 - mmdet - INFO - Epoch [8][4150/7390] lr: 1.000e-02, eta: 2:07:00, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9757, loss_bbox: 0.7291, loss_centerness: 0.6489, loss: 8.3536 2022-09-29 05:13:57,567 - mmdet - INFO - Epoch [8][4200/7390] lr: 1.000e-02, eta: 2:06:48, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9906, loss_bbox: 0.7301, loss_centerness: 0.6502, loss: 8.3709 2022-09-29 05:14:09,299 - mmdet - INFO - Epoch [8][4250/7390] lr: 1.000e-02, eta: 2:06:36, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9699, loss_bbox: 0.7285, loss_centerness: 0.6489, loss: 8.3473 2022-09-29 05:14:21,079 - mmdet - INFO - Epoch [8][4300/7390] lr: 1.000e-02, eta: 2:06:25, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9988, loss_bbox: 0.7292, loss_centerness: 0.6507, loss: 8.3787 2022-09-29 05:14:32,792 - mmdet - INFO - Epoch [8][4350/7390] lr: 1.000e-02, eta: 2:06:13, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9909, loss_bbox: 0.7283, loss_centerness: 0.6508, loss: 8.3700 2022-09-29 05:14:44,554 - mmdet - INFO - Epoch [8][4400/7390] lr: 1.000e-02, eta: 2:06:02, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9918, loss_bbox: 0.7293, loss_centerness: 0.6509, loss: 8.3720 2022-09-29 05:14:56,058 - mmdet - INFO - Epoch [8][4450/7390] lr: 1.000e-02, eta: 2:05:50, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 7.0021, loss_bbox: 0.7322, loss_centerness: 0.6510, loss: 8.3854 2022-09-29 05:15:07,586 - mmdet - INFO - Epoch [8][4500/7390] lr: 1.000e-02, eta: 2:05:38, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9919, loss_bbox: 0.7287, loss_centerness: 0.6508, loss: 8.3714 2022-09-29 05:15:19,246 - mmdet - INFO - Epoch [8][4550/7390] lr: 1.000e-02, eta: 2:05:27, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9987, loss_bbox: 0.7270, loss_centerness: 0.6510, loss: 8.3767 2022-09-29 05:15:30,827 - mmdet - INFO - Epoch [8][4600/7390] lr: 1.000e-02, eta: 2:05:15, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9954, loss_bbox: 0.7286, loss_centerness: 0.6507, loss: 8.3746 2022-09-29 05:15:42,558 - mmdet - INFO - Epoch [8][4650/7390] lr: 1.000e-02, eta: 2:05:04, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9921, loss_bbox: 0.7321, loss_centerness: 0.6504, loss: 8.3747 2022-09-29 05:15:54,150 - mmdet - INFO - Epoch [8][4700/7390] lr: 1.000e-02, eta: 2:04:52, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9881, loss_bbox: 0.7298, loss_centerness: 0.6508, loss: 8.3687 2022-09-29 05:16:05,643 - mmdet - INFO - Epoch [8][4750/7390] lr: 1.000e-02, eta: 2:04:40, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9885, loss_bbox: 0.7263, loss_centerness: 0.6508, loss: 8.3655 2022-09-29 05:16:17,133 - mmdet - INFO - Epoch [8][4800/7390] lr: 1.000e-02, eta: 2:04:29, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9955, loss_bbox: 0.7271, loss_centerness: 0.6504, loss: 8.3730 2022-09-29 05:16:28,760 - mmdet - INFO - Epoch [8][4850/7390] lr: 1.000e-02, eta: 2:04:17, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9946, loss_bbox: 0.7266, loss_centerness: 0.6507, loss: 8.3719 2022-09-29 05:16:40,328 - mmdet - INFO - Epoch [8][4900/7390] lr: 1.000e-02, eta: 2:04:05, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9986, loss_bbox: 0.7288, loss_centerness: 0.6506, loss: 8.3781 2022-09-29 05:16:52,058 - mmdet - INFO - Epoch [8][4950/7390] lr: 1.000e-02, eta: 2:03:54, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9934, loss_bbox: 0.7288, loss_centerness: 0.6505, loss: 8.3727 2022-09-29 05:17:03,782 - mmdet - INFO - Epoch [8][5000/7390] lr: 1.000e-02, eta: 2:03:42, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9910, loss_bbox: 0.7294, loss_centerness: 0.6509, loss: 8.3712 2022-09-29 05:17:15,522 - mmdet - INFO - Epoch [8][5050/7390] lr: 1.000e-02, eta: 2:03:31, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9939, loss_bbox: 0.7276, loss_centerness: 0.6501, loss: 8.3716 2022-09-29 05:17:27,216 - mmdet - INFO - Epoch [8][5100/7390] lr: 1.000e-02, eta: 2:03:19, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9887, loss_bbox: 0.7276, loss_centerness: 0.6507, loss: 8.3671 2022-09-29 05:17:38,941 - mmdet - INFO - Epoch [8][5150/7390] lr: 1.000e-02, eta: 2:03:08, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9734, loss_bbox: 0.7295, loss_centerness: 0.6488, loss: 8.3517 2022-09-29 05:17:50,448 - mmdet - INFO - Epoch [8][5200/7390] lr: 1.000e-02, eta: 2:02:56, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9941, loss_bbox: 0.7299, loss_centerness: 0.6504, loss: 8.3745 2022-09-29 05:18:01,984 - mmdet - INFO - Epoch [8][5250/7390] lr: 1.000e-02, eta: 2:02:44, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9973, loss_bbox: 0.7280, loss_centerness: 0.6505, loss: 8.3759 2022-09-29 05:18:13,655 - mmdet - INFO - Epoch [8][5300/7390] lr: 1.000e-02, eta: 2:02:33, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9898, loss_bbox: 0.7265, loss_centerness: 0.6499, loss: 8.3661 2022-09-29 05:18:25,388 - mmdet - INFO - Epoch [8][5350/7390] lr: 1.000e-02, eta: 2:02:21, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9948, loss_bbox: 0.7305, loss_centerness: 0.6502, loss: 8.3755 2022-09-29 05:18:36,954 - mmdet - INFO - Epoch [8][5400/7390] lr: 1.000e-02, eta: 2:02:10, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9855, loss_bbox: 0.7270, loss_centerness: 0.6502, loss: 8.3627 2022-09-29 05:18:48,544 - mmdet - INFO - Epoch [8][5450/7390] lr: 1.000e-02, eta: 2:01:58, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9945, loss_bbox: 0.7295, loss_centerness: 0.6501, loss: 8.3741 2022-09-29 05:19:00,156 - mmdet - INFO - Epoch [8][5500/7390] lr: 1.000e-02, eta: 2:01:46, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9981, loss_bbox: 0.7282, loss_centerness: 0.6505, loss: 8.3769 2022-09-29 05:19:11,894 - mmdet - INFO - Epoch [8][5550/7390] lr: 1.000e-02, eta: 2:01:35, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9738, loss_bbox: 0.7269, loss_centerness: 0.6492, loss: 8.3499 2022-09-29 05:19:23,551 - mmdet - INFO - Epoch [8][5600/7390] lr: 1.000e-02, eta: 2:01:23, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9927, loss_bbox: 0.7257, loss_centerness: 0.6513, loss: 8.3697 2022-09-29 05:19:35,202 - mmdet - INFO - Epoch [8][5650/7390] lr: 1.000e-02, eta: 2:01:12, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9929, loss_bbox: 0.7324, loss_centerness: 0.6511, loss: 8.3764 2022-09-29 05:19:46,914 - mmdet - INFO - Epoch [8][5700/7390] lr: 1.000e-02, eta: 2:01:00, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9932, loss_bbox: 0.7283, loss_centerness: 0.6507, loss: 8.3721 2022-09-29 05:19:58,524 - mmdet - INFO - Epoch [8][5750/7390] lr: 1.000e-02, eta: 2:00:48, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9977, loss_bbox: 0.7296, loss_centerness: 0.6505, loss: 8.3777 2022-09-29 05:20:10,227 - mmdet - INFO - Epoch [8][5800/7390] lr: 1.000e-02, eta: 2:00:37, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 7.0002, loss_bbox: 0.7276, loss_centerness: 0.6513, loss: 8.3791 2022-09-29 05:20:21,889 - mmdet - INFO - Epoch [8][5850/7390] lr: 1.000e-02, eta: 2:00:25, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9832, loss_bbox: 0.7285, loss_centerness: 0.6506, loss: 8.3622 2022-09-29 05:20:33,483 - mmdet - INFO - Epoch [8][5900/7390] lr: 1.000e-02, eta: 2:00:14, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9991, loss_bbox: 0.7314, loss_centerness: 0.6506, loss: 8.3811 2022-09-29 05:20:45,098 - mmdet - INFO - Epoch [8][5950/7390] lr: 1.000e-02, eta: 2:00:02, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9935, loss_bbox: 0.7273, loss_centerness: 0.6501, loss: 8.3709 2022-09-29 05:20:56,696 - mmdet - INFO - Epoch [8][6000/7390] lr: 1.000e-02, eta: 1:59:50, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9893, loss_bbox: 0.7276, loss_centerness: 0.6503, loss: 8.3672 2022-09-29 05:21:08,259 - mmdet - INFO - Epoch [8][6050/7390] lr: 1.000e-02, eta: 1:59:39, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9925, loss_bbox: 0.7273, loss_centerness: 0.6506, loss: 8.3704 2022-09-29 05:21:19,847 - mmdet - INFO - Epoch [8][6100/7390] lr: 1.000e-02, eta: 1:59:27, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9928, loss_bbox: 0.7249, loss_centerness: 0.6506, loss: 8.3682 2022-09-29 05:21:31,571 - mmdet - INFO - Epoch [8][6150/7390] lr: 1.000e-02, eta: 1:59:15, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9904, loss_bbox: 0.7281, loss_centerness: 0.6508, loss: 8.3693 2022-09-29 05:21:43,405 - mmdet - INFO - Epoch [8][6200/7390] lr: 1.000e-02, eta: 1:59:04, time: 0.237, data_time: 0.010, memory: 22925, loss_cls: 6.9893, loss_bbox: 0.7280, loss_centerness: 0.6504, loss: 8.3677 2022-09-29 05:21:54,986 - mmdet - INFO - Epoch [8][6250/7390] lr: 1.000e-02, eta: 1:58:52, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9912, loss_bbox: 0.7296, loss_centerness: 0.6505, loss: 8.3713 2022-09-29 05:22:06,535 - mmdet - INFO - Epoch [8][6300/7390] lr: 1.000e-02, eta: 1:58:41, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9813, loss_bbox: 0.7295, loss_centerness: 0.6501, loss: 8.3610 2022-09-29 05:22:18,243 - mmdet - INFO - Epoch [8][6350/7390] lr: 1.000e-02, eta: 1:58:29, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9990, loss_bbox: 0.7279, loss_centerness: 0.6507, loss: 8.3776 2022-09-29 05:22:29,839 - mmdet - INFO - Epoch [8][6400/7390] lr: 1.000e-02, eta: 1:58:17, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9913, loss_bbox: 0.7295, loss_centerness: 0.6509, loss: 8.3718 2022-09-29 05:22:41,405 - mmdet - INFO - Epoch [8][6450/7390] lr: 1.000e-02, eta: 1:58:06, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9916, loss_bbox: 0.7279, loss_centerness: 0.6507, loss: 8.3701 2022-09-29 05:22:52,972 - mmdet - INFO - Epoch [8][6500/7390] lr: 1.000e-02, eta: 1:57:54, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9902, loss_bbox: 0.7306, loss_centerness: 0.6512, loss: 8.3720 2022-09-29 05:23:04,679 - mmdet - INFO - Epoch [8][6550/7390] lr: 1.000e-02, eta: 1:57:43, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9874, loss_bbox: 0.7299, loss_centerness: 0.6507, loss: 8.3680 2022-09-29 05:23:16,331 - mmdet - INFO - Epoch [8][6600/7390] lr: 1.000e-02, eta: 1:57:31, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9939, loss_bbox: 0.7310, loss_centerness: 0.6503, loss: 8.3751 2022-09-29 05:23:27,919 - mmdet - INFO - Epoch [8][6650/7390] lr: 1.000e-02, eta: 1:57:19, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9923, loss_bbox: 0.7306, loss_centerness: 0.6505, loss: 8.3735 2022-09-29 05:23:39,582 - mmdet - INFO - Epoch [8][6700/7390] lr: 1.000e-02, eta: 1:57:08, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9964, loss_bbox: 0.7274, loss_centerness: 0.6511, loss: 8.3750 2022-09-29 05:23:51,186 - mmdet - INFO - Epoch [8][6750/7390] lr: 1.000e-02, eta: 1:56:56, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9887, loss_bbox: 0.7297, loss_centerness: 0.6504, loss: 8.3688 2022-09-29 05:24:03,050 - mmdet - INFO - Epoch [8][6800/7390] lr: 1.000e-02, eta: 1:56:45, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 7.0013, loss_bbox: 0.7296, loss_centerness: 0.6505, loss: 8.3814 2022-09-29 05:24:14,750 - mmdet - INFO - Epoch [8][6850/7390] lr: 1.000e-02, eta: 1:56:33, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9834, loss_bbox: 0.7293, loss_centerness: 0.6504, loss: 8.3631 2022-09-29 05:24:26,543 - mmdet - INFO - Epoch [8][6900/7390] lr: 1.000e-02, eta: 1:56:22, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9980, loss_bbox: 0.7312, loss_centerness: 0.6501, loss: 8.3793 2022-09-29 05:24:38,245 - mmdet - INFO - Epoch [8][6950/7390] lr: 1.000e-02, eta: 1:56:10, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9866, loss_bbox: 0.7305, loss_centerness: 0.6497, loss: 8.3669 2022-09-29 05:24:49,917 - mmdet - INFO - Epoch [8][7000/7390] lr: 1.000e-02, eta: 1:55:58, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9884, loss_bbox: 0.7302, loss_centerness: 0.6507, loss: 8.3693 2022-09-29 05:25:01,525 - mmdet - INFO - Epoch [8][7050/7390] lr: 1.000e-02, eta: 1:55:47, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9930, loss_bbox: 0.7259, loss_centerness: 0.6511, loss: 8.3700 2022-09-29 05:25:13,285 - mmdet - INFO - Epoch [8][7100/7390] lr: 1.000e-02, eta: 1:55:35, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9918, loss_bbox: 0.7291, loss_centerness: 0.6499, loss: 8.3709 2022-09-29 05:25:25,102 - mmdet - INFO - Epoch [8][7150/7390] lr: 1.000e-02, eta: 1:55:24, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9824, loss_bbox: 0.7288, loss_centerness: 0.6508, loss: 8.3621 2022-09-29 05:25:36,675 - mmdet - INFO - Epoch [8][7200/7390] lr: 1.000e-02, eta: 1:55:12, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9890, loss_bbox: 0.7286, loss_centerness: 0.6499, loss: 8.3675 2022-09-29 05:25:48,440 - mmdet - INFO - Epoch [8][7250/7390] lr: 1.000e-02, eta: 1:55:01, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9718, loss_bbox: 0.7229, loss_centerness: 0.6486, loss: 8.3433 2022-09-29 05:26:00,068 - mmdet - INFO - Epoch [8][7300/7390] lr: 1.000e-02, eta: 1:54:49, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9881, loss_bbox: 0.7277, loss_centerness: 0.6509, loss: 8.3667 2022-09-29 05:26:11,567 - mmdet - INFO - Epoch [8][7350/7390] lr: 1.000e-02, eta: 1:54:37, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9968, loss_bbox: 0.7260, loss_centerness: 0.6505, loss: 8.3733 2022-09-29 05:26:21,006 - mmdet - INFO - Saving checkpoint at 8 epochs 2022-09-29 05:26:37,187 - mmdet - INFO - Epoch [9][50/7390] lr: 1.000e-03, eta: 1:54:14, time: 0.305, data_time: 0.070, memory: 22925, loss_cls: 6.9852, loss_bbox: 0.7263, loss_centerness: 0.6506, loss: 8.3621 2022-09-29 05:26:49,023 - mmdet - INFO - Epoch [9][100/7390] lr: 1.000e-03, eta: 1:54:02, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9825, loss_bbox: 0.7224, loss_centerness: 0.6501, loss: 8.3550 2022-09-29 05:27:00,811 - mmdet - INFO - Epoch [9][150/7390] lr: 1.000e-03, eta: 1:53:50, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9645, loss_bbox: 0.7249, loss_centerness: 0.6491, loss: 8.3384 2022-09-29 05:27:12,841 - mmdet - INFO - Epoch [9][200/7390] lr: 1.000e-03, eta: 1:53:39, time: 0.240, data_time: 0.009, memory: 22925, loss_cls: 6.9790, loss_bbox: 0.7240, loss_centerness: 0.6505, loss: 8.3535 2022-09-29 05:27:24,582 - mmdet - INFO - Epoch [9][250/7390] lr: 1.000e-03, eta: 1:53:28, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9830, loss_bbox: 0.7230, loss_centerness: 0.6508, loss: 8.3569 2022-09-29 05:27:36,370 - mmdet - INFO - Epoch [9][300/7390] lr: 1.000e-03, eta: 1:53:16, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9826, loss_bbox: 0.7234, loss_centerness: 0.6498, loss: 8.3559 2022-09-29 05:27:48,312 - mmdet - INFO - Epoch [9][350/7390] lr: 1.000e-03, eta: 1:53:05, time: 0.239, data_time: 0.009, memory: 22925, loss_cls: 6.9833, loss_bbox: 0.7227, loss_centerness: 0.6509, loss: 8.3569 2022-09-29 05:28:00,153 - mmdet - INFO - Epoch [9][400/7390] lr: 1.000e-03, eta: 1:52:53, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9808, loss_bbox: 0.7206, loss_centerness: 0.6502, loss: 8.3516 2022-09-29 05:28:11,852 - mmdet - INFO - Epoch [9][450/7390] lr: 1.000e-03, eta: 1:52:41, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9561, loss_bbox: 0.7249, loss_centerness: 0.6490, loss: 8.3300 2022-09-29 05:28:23,835 - mmdet - INFO - Epoch [9][500/7390] lr: 1.000e-03, eta: 1:52:30, time: 0.239, data_time: 0.009, memory: 22925, loss_cls: 6.9808, loss_bbox: 0.7259, loss_centerness: 0.6505, loss: 8.3571 2022-09-29 05:28:35,524 - mmdet - INFO - Epoch [9][550/7390] lr: 1.000e-03, eta: 1:52:18, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9877, loss_bbox: 0.7225, loss_centerness: 0.6499, loss: 8.3601 2022-09-29 05:28:47,386 - mmdet - INFO - Epoch [9][600/7390] lr: 1.000e-03, eta: 1:52:07, time: 0.237, data_time: 0.008, memory: 22925, loss_cls: 6.9842, loss_bbox: 0.7250, loss_centerness: 0.6496, loss: 8.3587 2022-09-29 05:28:59,015 - mmdet - INFO - Epoch [9][650/7390] lr: 1.000e-03, eta: 1:51:55, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9749, loss_bbox: 0.7227, loss_centerness: 0.6505, loss: 8.3481 2022-09-29 05:29:10,569 - mmdet - INFO - Epoch [9][700/7390] lr: 1.000e-03, eta: 1:51:44, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9777, loss_bbox: 0.7224, loss_centerness: 0.6504, loss: 8.3505 2022-09-29 05:29:22,367 - mmdet - INFO - Epoch [9][750/7390] lr: 1.000e-03, eta: 1:51:32, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9728, loss_bbox: 0.7234, loss_centerness: 0.6503, loss: 8.3464 2022-09-29 05:29:34,006 - mmdet - INFO - Epoch [9][800/7390] lr: 1.000e-03, eta: 1:51:21, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9736, loss_bbox: 0.7214, loss_centerness: 0.6495, loss: 8.3446 2022-09-29 05:29:45,639 - mmdet - INFO - Epoch [9][850/7390] lr: 1.000e-03, eta: 1:51:09, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9751, loss_bbox: 0.7240, loss_centerness: 0.6509, loss: 8.3500 2022-09-29 05:29:57,149 - mmdet - INFO - Epoch [9][900/7390] lr: 1.000e-03, eta: 1:50:57, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9769, loss_bbox: 0.7232, loss_centerness: 0.6502, loss: 8.3503 2022-09-29 05:30:08,855 - mmdet - INFO - Epoch [9][950/7390] lr: 1.000e-03, eta: 1:50:46, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9810, loss_bbox: 0.7273, loss_centerness: 0.6499, loss: 8.3583 2022-09-29 05:30:20,488 - mmdet - INFO - Epoch [9][1000/7390] lr: 1.000e-03, eta: 1:50:34, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9732, loss_bbox: 0.7190, loss_centerness: 0.6496, loss: 8.3418 2022-09-29 05:30:32,258 - mmdet - INFO - Epoch [9][1050/7390] lr: 1.000e-03, eta: 1:50:23, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9746, loss_bbox: 0.7207, loss_centerness: 0.6502, loss: 8.3455 2022-09-29 05:30:43,928 - mmdet - INFO - Epoch [9][1100/7390] lr: 1.000e-03, eta: 1:50:11, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9772, loss_bbox: 0.7232, loss_centerness: 0.6503, loss: 8.3507 2022-09-29 05:30:55,628 - mmdet - INFO - Epoch [9][1150/7390] lr: 1.000e-03, eta: 1:49:59, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9908, loss_bbox: 0.7220, loss_centerness: 0.6503, loss: 8.3631 2022-09-29 05:31:07,293 - mmdet - INFO - Epoch [9][1200/7390] lr: 1.000e-03, eta: 1:49:48, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9792, loss_bbox: 0.7226, loss_centerness: 0.6504, loss: 8.3523 2022-09-29 05:31:19,116 - mmdet - INFO - Epoch [9][1250/7390] lr: 1.000e-03, eta: 1:49:36, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9716, loss_bbox: 0.7235, loss_centerness: 0.6501, loss: 8.3452 2022-09-29 05:31:30,863 - mmdet - INFO - Epoch [9][1300/7390] lr: 1.000e-03, eta: 1:49:25, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9784, loss_bbox: 0.7236, loss_centerness: 0.6503, loss: 8.3523 2022-09-29 05:31:42,607 - mmdet - INFO - Epoch [9][1350/7390] lr: 1.000e-03, eta: 1:49:13, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9814, loss_bbox: 0.7206, loss_centerness: 0.6501, loss: 8.3521 2022-09-29 05:31:54,332 - mmdet - INFO - Epoch [9][1400/7390] lr: 1.000e-03, eta: 1:49:02, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9745, loss_bbox: 0.7219, loss_centerness: 0.6503, loss: 8.3467 2022-09-29 05:32:06,254 - mmdet - INFO - Epoch [9][1450/7390] lr: 1.000e-03, eta: 1:48:50, time: 0.238, data_time: 0.008, memory: 22925, loss_cls: 6.9813, loss_bbox: 0.7244, loss_centerness: 0.6501, loss: 8.3557 2022-09-29 05:32:17,931 - mmdet - INFO - Epoch [9][1500/7390] lr: 1.000e-03, eta: 1:48:39, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9776, loss_bbox: 0.7209, loss_centerness: 0.6502, loss: 8.3487 2022-09-29 05:32:29,472 - mmdet - INFO - Epoch [9][1550/7390] lr: 1.000e-03, eta: 1:48:27, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9743, loss_bbox: 0.7250, loss_centerness: 0.6505, loss: 8.3498 2022-09-29 05:32:41,133 - mmdet - INFO - Epoch [9][1600/7390] lr: 1.000e-03, eta: 1:48:15, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9756, loss_bbox: 0.7235, loss_centerness: 0.6506, loss: 8.3497 2022-09-29 05:32:52,857 - mmdet - INFO - Epoch [9][1650/7390] lr: 1.000e-03, eta: 1:48:04, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9804, loss_bbox: 0.7242, loss_centerness: 0.6501, loss: 8.3547 2022-09-29 05:33:04,323 - mmdet - INFO - Epoch [9][1700/7390] lr: 1.000e-03, eta: 1:47:52, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9759, loss_bbox: 0.7227, loss_centerness: 0.6506, loss: 8.3492 2022-09-29 05:33:15,908 - mmdet - INFO - Epoch [9][1750/7390] lr: 1.000e-03, eta: 1:47:40, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9779, loss_bbox: 0.7235, loss_centerness: 0.6504, loss: 8.3518 2022-09-29 05:33:27,593 - mmdet - INFO - Epoch [9][1800/7390] lr: 1.000e-03, eta: 1:47:29, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9687, loss_bbox: 0.7221, loss_centerness: 0.6505, loss: 8.3413 2022-09-29 05:33:39,254 - mmdet - INFO - Epoch [9][1850/7390] lr: 1.000e-03, eta: 1:47:17, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9787, loss_bbox: 0.7229, loss_centerness: 0.6497, loss: 8.3513 2022-09-29 05:33:50,832 - mmdet - INFO - Epoch [9][1900/7390] lr: 1.000e-03, eta: 1:47:06, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9772, loss_bbox: 0.7214, loss_centerness: 0.6501, loss: 8.3487 2022-09-29 05:34:02,394 - mmdet - INFO - Epoch [9][1950/7390] lr: 1.000e-03, eta: 1:46:54, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9705, loss_bbox: 0.7212, loss_centerness: 0.6497, loss: 8.3414 2022-09-29 05:34:14,065 - mmdet - INFO - Epoch [9][2000/7390] lr: 1.000e-03, eta: 1:46:42, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9710, loss_bbox: 0.7221, loss_centerness: 0.6504, loss: 8.3435 2022-09-29 05:34:25,680 - mmdet - INFO - Epoch [9][2050/7390] lr: 1.000e-03, eta: 1:46:31, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9792, loss_bbox: 0.7222, loss_centerness: 0.6500, loss: 8.3514 2022-09-29 05:34:37,228 - mmdet - INFO - Epoch [9][2100/7390] lr: 1.000e-03, eta: 1:46:19, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9774, loss_bbox: 0.7221, loss_centerness: 0.6500, loss: 8.3495 2022-09-29 05:34:48,858 - mmdet - INFO - Epoch [9][2150/7390] lr: 1.000e-03, eta: 1:46:08, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9748, loss_bbox: 0.7220, loss_centerness: 0.6502, loss: 8.3470 2022-09-29 05:35:00,739 - mmdet - INFO - Epoch [9][2200/7390] lr: 1.000e-03, eta: 1:45:56, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9773, loss_bbox: 0.7241, loss_centerness: 0.6502, loss: 8.3516 2022-09-29 05:35:12,589 - mmdet - INFO - Epoch [9][2250/7390] lr: 1.000e-03, eta: 1:45:45, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9735, loss_bbox: 0.7217, loss_centerness: 0.6507, loss: 8.3459 2022-09-29 05:35:24,301 - mmdet - INFO - Epoch [9][2300/7390] lr: 1.000e-03, eta: 1:45:33, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9809, loss_bbox: 0.7208, loss_centerness: 0.6506, loss: 8.3523 2022-09-29 05:35:35,803 - mmdet - INFO - Epoch [9][2350/7390] lr: 1.000e-03, eta: 1:45:21, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9776, loss_bbox: 0.7206, loss_centerness: 0.6503, loss: 8.3485 2022-09-29 05:35:47,578 - mmdet - INFO - Epoch [9][2400/7390] lr: 1.000e-03, eta: 1:45:10, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9740, loss_bbox: 0.7210, loss_centerness: 0.6499, loss: 8.3448 2022-09-29 05:35:59,219 - mmdet - INFO - Epoch [9][2450/7390] lr: 1.000e-03, eta: 1:44:58, time: 0.233, data_time: 0.010, memory: 22925, loss_cls: 6.9812, loss_bbox: 0.7227, loss_centerness: 0.6499, loss: 8.3538 2022-09-29 05:36:10,969 - mmdet - INFO - Epoch [9][2500/7390] lr: 1.000e-03, eta: 1:44:47, time: 0.235, data_time: 0.010, memory: 22925, loss_cls: 6.9718, loss_bbox: 0.7234, loss_centerness: 0.6500, loss: 8.3452 2022-09-29 05:36:22,482 - mmdet - INFO - Epoch [9][2550/7390] lr: 1.000e-03, eta: 1:44:35, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9818, loss_bbox: 0.7229, loss_centerness: 0.6503, loss: 8.3549 2022-09-29 05:36:34,062 - mmdet - INFO - Epoch [9][2600/7390] lr: 1.000e-03, eta: 1:44:23, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9788, loss_bbox: 0.7224, loss_centerness: 0.6504, loss: 8.3516 2022-09-29 05:36:45,919 - mmdet - INFO - Epoch [9][2650/7390] lr: 1.000e-03, eta: 1:44:12, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9751, loss_bbox: 0.7225, loss_centerness: 0.6503, loss: 8.3478 2022-09-29 05:36:57,589 - mmdet - INFO - Epoch [9][2700/7390] lr: 1.000e-03, eta: 1:44:00, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9854, loss_bbox: 0.7220, loss_centerness: 0.6499, loss: 8.3573 2022-09-29 05:37:09,241 - mmdet - INFO - Epoch [9][2750/7390] lr: 1.000e-03, eta: 1:43:49, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9714, loss_bbox: 0.7212, loss_centerness: 0.6502, loss: 8.3427 2022-09-29 05:37:20,866 - mmdet - INFO - Epoch [9][2800/7390] lr: 1.000e-03, eta: 1:43:37, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9833, loss_bbox: 0.7211, loss_centerness: 0.6505, loss: 8.3549 2022-09-29 05:37:32,513 - mmdet - INFO - Epoch [9][2850/7390] lr: 1.000e-03, eta: 1:43:25, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9732, loss_bbox: 0.7192, loss_centerness: 0.6497, loss: 8.3421 2022-09-29 05:37:44,313 - mmdet - INFO - Epoch [9][2900/7390] lr: 1.000e-03, eta: 1:43:14, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9816, loss_bbox: 0.7247, loss_centerness: 0.6502, loss: 8.3564 2022-09-29 05:37:56,164 - mmdet - INFO - Epoch [9][2950/7390] lr: 1.000e-03, eta: 1:43:02, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9780, loss_bbox: 0.7239, loss_centerness: 0.6504, loss: 8.3522 2022-09-29 05:38:07,823 - mmdet - INFO - Epoch [9][3000/7390] lr: 1.000e-03, eta: 1:42:51, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9745, loss_bbox: 0.7231, loss_centerness: 0.6494, loss: 8.3471 2022-09-29 05:38:19,449 - mmdet - INFO - Epoch [9][3050/7390] lr: 1.000e-03, eta: 1:42:39, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9792, loss_bbox: 0.7224, loss_centerness: 0.6501, loss: 8.3517 2022-09-29 05:38:31,106 - mmdet - INFO - Epoch [9][3100/7390] lr: 1.000e-03, eta: 1:42:27, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9793, loss_bbox: 0.7234, loss_centerness: 0.6506, loss: 8.3533 2022-09-29 05:38:42,815 - mmdet - INFO - Epoch [9][3150/7390] lr: 1.000e-03, eta: 1:42:16, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9711, loss_bbox: 0.7200, loss_centerness: 0.6502, loss: 8.3413 2022-09-29 05:38:54,556 - mmdet - INFO - Epoch [9][3200/7390] lr: 1.000e-03, eta: 1:42:04, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9824, loss_bbox: 0.7248, loss_centerness: 0.6501, loss: 8.3573 2022-09-29 05:39:06,117 - mmdet - INFO - Epoch [9][3250/7390] lr: 1.000e-03, eta: 1:41:53, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9783, loss_bbox: 0.7228, loss_centerness: 0.6501, loss: 8.3511 2022-09-29 05:39:17,803 - mmdet - INFO - Epoch [9][3300/7390] lr: 1.000e-03, eta: 1:41:41, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9809, loss_bbox: 0.7202, loss_centerness: 0.6505, loss: 8.3515 2022-09-29 05:39:29,507 - mmdet - INFO - Epoch [9][3350/7390] lr: 1.000e-03, eta: 1:41:30, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9833, loss_bbox: 0.7223, loss_centerness: 0.6506, loss: 8.3563 2022-09-29 05:39:41,071 - mmdet - INFO - Epoch [9][3400/7390] lr: 1.000e-03, eta: 1:41:18, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9733, loss_bbox: 0.7277, loss_centerness: 0.6504, loss: 8.3515 2022-09-29 05:39:52,793 - mmdet - INFO - Epoch [9][3450/7390] lr: 1.000e-03, eta: 1:41:06, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9729, loss_bbox: 0.7231, loss_centerness: 0.6503, loss: 8.3464 2022-09-29 05:40:04,506 - mmdet - INFO - Epoch [9][3500/7390] lr: 1.000e-03, eta: 1:40:55, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9813, loss_bbox: 0.7231, loss_centerness: 0.6502, loss: 8.3545 2022-09-29 05:40:16,248 - mmdet - INFO - Epoch [9][3550/7390] lr: 1.000e-03, eta: 1:40:43, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9827, loss_bbox: 0.7235, loss_centerness: 0.6506, loss: 8.3568 2022-09-29 05:40:27,935 - mmdet - INFO - Epoch [9][3600/7390] lr: 1.000e-03, eta: 1:40:32, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9823, loss_bbox: 0.7234, loss_centerness: 0.6506, loss: 8.3563 2022-09-29 05:40:39,756 - mmdet - INFO - Epoch [9][3650/7390] lr: 1.000e-03, eta: 1:40:20, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9804, loss_bbox: 0.7229, loss_centerness: 0.6505, loss: 8.3538 2022-09-29 05:40:51,509 - mmdet - INFO - Epoch [9][3700/7390] lr: 1.000e-03, eta: 1:40:08, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9817, loss_bbox: 0.7213, loss_centerness: 0.6505, loss: 8.3535 2022-09-29 05:41:03,141 - mmdet - INFO - Epoch [9][3750/7390] lr: 1.000e-03, eta: 1:39:57, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9727, loss_bbox: 0.7230, loss_centerness: 0.6501, loss: 8.3457 2022-09-29 05:41:14,872 - mmdet - INFO - Epoch [9][3800/7390] lr: 1.000e-03, eta: 1:39:45, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9814, loss_bbox: 0.7214, loss_centerness: 0.6501, loss: 8.3529 2022-09-29 05:41:26,562 - mmdet - INFO - Epoch [9][3850/7390] lr: 1.000e-03, eta: 1:39:34, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9810, loss_bbox: 0.7235, loss_centerness: 0.6505, loss: 8.3550 2022-09-29 05:41:38,342 - mmdet - INFO - Epoch [9][3900/7390] lr: 1.000e-03, eta: 1:39:22, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9763, loss_bbox: 0.7235, loss_centerness: 0.6506, loss: 8.3504 2022-09-29 05:41:50,032 - mmdet - INFO - Epoch [9][3950/7390] lr: 1.000e-03, eta: 1:39:11, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9760, loss_bbox: 0.7215, loss_centerness: 0.6501, loss: 8.3476 2022-09-29 05:42:01,687 - mmdet - INFO - Epoch [9][4000/7390] lr: 1.000e-03, eta: 1:38:59, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9833, loss_bbox: 0.7232, loss_centerness: 0.6508, loss: 8.3573 2022-09-29 05:42:13,469 - mmdet - INFO - Epoch [9][4050/7390] lr: 1.000e-03, eta: 1:38:47, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9788, loss_bbox: 0.7216, loss_centerness: 0.6505, loss: 8.3509 2022-09-29 05:42:25,194 - mmdet - INFO - Epoch [9][4100/7390] lr: 1.000e-03, eta: 1:38:36, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9565, loss_bbox: 0.7227, loss_centerness: 0.6485, loss: 8.3278 2022-09-29 05:42:36,926 - mmdet - INFO - Epoch [9][4150/7390] lr: 1.000e-03, eta: 1:38:24, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9879, loss_bbox: 0.7211, loss_centerness: 0.6505, loss: 8.3595 2022-09-29 05:42:48,660 - mmdet - INFO - Epoch [9][4200/7390] lr: 1.000e-03, eta: 1:38:13, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9765, loss_bbox: 0.7202, loss_centerness: 0.6503, loss: 8.3470 2022-09-29 05:43:00,455 - mmdet - INFO - Epoch [9][4250/7390] lr: 1.000e-03, eta: 1:38:01, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9754, loss_bbox: 0.7215, loss_centerness: 0.6501, loss: 8.3470 2022-09-29 05:43:12,145 - mmdet - INFO - Epoch [9][4300/7390] lr: 1.000e-03, eta: 1:37:50, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9745, loss_bbox: 0.7228, loss_centerness: 0.6504, loss: 8.3478 2022-09-29 05:43:23,818 - mmdet - INFO - Epoch [9][4350/7390] lr: 1.000e-03, eta: 1:37:38, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9706, loss_bbox: 0.7242, loss_centerness: 0.6505, loss: 8.3453 2022-09-29 05:43:35,499 - mmdet - INFO - Epoch [9][4400/7390] lr: 1.000e-03, eta: 1:37:26, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9687, loss_bbox: 0.7222, loss_centerness: 0.6502, loss: 8.3411 2022-09-29 05:43:47,315 - mmdet - INFO - Epoch [9][4450/7390] lr: 1.000e-03, eta: 1:37:15, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9762, loss_bbox: 0.7235, loss_centerness: 0.6501, loss: 8.3497 2022-09-29 05:43:59,012 - mmdet - INFO - Epoch [9][4500/7390] lr: 1.000e-03, eta: 1:37:03, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9770, loss_bbox: 0.7210, loss_centerness: 0.6500, loss: 8.3480 2022-09-29 05:44:10,911 - mmdet - INFO - Epoch [9][4550/7390] lr: 1.000e-03, eta: 1:36:52, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9779, loss_bbox: 0.7214, loss_centerness: 0.6509, loss: 8.3502 2022-09-29 05:44:22,630 - mmdet - INFO - Epoch [9][4600/7390] lr: 1.000e-03, eta: 1:36:40, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9746, loss_bbox: 0.7198, loss_centerness: 0.6506, loss: 8.3450 2022-09-29 05:44:34,229 - mmdet - INFO - Epoch [9][4650/7390] lr: 1.000e-03, eta: 1:36:28, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9784, loss_bbox: 0.7223, loss_centerness: 0.6497, loss: 8.3503 2022-09-29 05:44:45,837 - mmdet - INFO - Epoch [9][4700/7390] lr: 1.000e-03, eta: 1:36:17, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9800, loss_bbox: 0.7214, loss_centerness: 0.6507, loss: 8.3521 2022-09-29 05:44:57,683 - mmdet - INFO - Epoch [9][4750/7390] lr: 1.000e-03, eta: 1:36:05, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9810, loss_bbox: 0.7235, loss_centerness: 0.6503, loss: 8.3547 2022-09-29 05:45:09,473 - mmdet - INFO - Epoch [9][4800/7390] lr: 1.000e-03, eta: 1:35:54, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9580, loss_bbox: 0.7216, loss_centerness: 0.6485, loss: 8.3281 2022-09-29 05:45:21,172 - mmdet - INFO - Epoch [9][4850/7390] lr: 1.000e-03, eta: 1:35:42, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9760, loss_bbox: 0.7230, loss_centerness: 0.6501, loss: 8.3490 2022-09-29 05:45:32,804 - mmdet - INFO - Epoch [9][4900/7390] lr: 1.000e-03, eta: 1:35:31, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9791, loss_bbox: 0.7196, loss_centerness: 0.6502, loss: 8.3489 2022-09-29 05:45:44,366 - mmdet - INFO - Epoch [9][4950/7390] lr: 1.000e-03, eta: 1:35:19, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9699, loss_bbox: 0.7211, loss_centerness: 0.6499, loss: 8.3409 2022-09-29 05:45:56,025 - mmdet - INFO - Epoch [9][5000/7390] lr: 1.000e-03, eta: 1:35:07, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9754, loss_bbox: 0.7250, loss_centerness: 0.6501, loss: 8.3505 2022-09-29 05:46:07,658 - mmdet - INFO - Epoch [9][5050/7390] lr: 1.000e-03, eta: 1:34:56, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9784, loss_bbox: 0.7216, loss_centerness: 0.6505, loss: 8.3506 2022-09-29 05:46:19,283 - mmdet - INFO - Epoch [9][5100/7390] lr: 1.000e-03, eta: 1:34:44, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9917, loss_bbox: 0.7216, loss_centerness: 0.6499, loss: 8.3632 2022-09-29 05:46:31,039 - mmdet - INFO - Epoch [9][5150/7390] lr: 1.000e-03, eta: 1:34:33, time: 0.236, data_time: 0.010, memory: 22925, loss_cls: 6.9814, loss_bbox: 0.7204, loss_centerness: 0.6502, loss: 8.3520 2022-09-29 05:46:42,873 - mmdet - INFO - Epoch [9][5200/7390] lr: 1.000e-03, eta: 1:34:21, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9830, loss_bbox: 0.7212, loss_centerness: 0.6500, loss: 8.3543 2022-09-29 05:46:54,557 - mmdet - INFO - Epoch [9][5250/7390] lr: 1.000e-03, eta: 1:34:09, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9814, loss_bbox: 0.7224, loss_centerness: 0.6501, loss: 8.3539 2022-09-29 05:47:06,261 - mmdet - INFO - Epoch [9][5300/7390] lr: 1.000e-03, eta: 1:33:58, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9734, loss_bbox: 0.7244, loss_centerness: 0.6499, loss: 8.3477 2022-09-29 05:47:17,941 - mmdet - INFO - Epoch [9][5350/7390] lr: 1.000e-03, eta: 1:33:46, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9907, loss_bbox: 0.7230, loss_centerness: 0.6503, loss: 8.3640 2022-09-29 05:47:29,560 - mmdet - INFO - Epoch [9][5400/7390] lr: 1.000e-03, eta: 1:33:35, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9729, loss_bbox: 0.7194, loss_centerness: 0.6503, loss: 8.3427 2022-09-29 05:47:41,393 - mmdet - INFO - Epoch [9][5450/7390] lr: 1.000e-03, eta: 1:33:23, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9704, loss_bbox: 0.7237, loss_centerness: 0.6500, loss: 8.3442 2022-09-29 05:47:53,089 - mmdet - INFO - Epoch [9][5500/7390] lr: 1.000e-03, eta: 1:33:11, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9677, loss_bbox: 0.7252, loss_centerness: 0.6498, loss: 8.3427 2022-09-29 05:48:04,648 - mmdet - INFO - Epoch [9][5550/7390] lr: 1.000e-03, eta: 1:33:00, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9845, loss_bbox: 0.7212, loss_centerness: 0.6501, loss: 8.3559 2022-09-29 05:48:16,359 - mmdet - INFO - Epoch [9][5600/7390] lr: 1.000e-03, eta: 1:32:48, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9762, loss_bbox: 0.7217, loss_centerness: 0.6504, loss: 8.3483 2022-09-29 05:48:28,091 - mmdet - INFO - Epoch [9][5650/7390] lr: 1.000e-03, eta: 1:32:37, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9665, loss_bbox: 0.7210, loss_centerness: 0.6497, loss: 8.3372 2022-09-29 05:48:39,783 - mmdet - INFO - Epoch [9][5700/7390] lr: 1.000e-03, eta: 1:32:25, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9835, loss_bbox: 0.7203, loss_centerness: 0.6504, loss: 8.3541 2022-09-29 05:48:51,473 - mmdet - INFO - Epoch [9][5750/7390] lr: 1.000e-03, eta: 1:32:13, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9750, loss_bbox: 0.7258, loss_centerness: 0.6501, loss: 8.3509 2022-09-29 05:49:03,345 - mmdet - INFO - Epoch [9][5800/7390] lr: 1.000e-03, eta: 1:32:02, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9741, loss_bbox: 0.7220, loss_centerness: 0.6506, loss: 8.3467 2022-09-29 05:49:15,028 - mmdet - INFO - Epoch [9][5850/7390] lr: 1.000e-03, eta: 1:31:50, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9685, loss_bbox: 0.7222, loss_centerness: 0.6501, loss: 8.3408 2022-09-29 05:49:26,640 - mmdet - INFO - Epoch [9][5900/7390] lr: 1.000e-03, eta: 1:31:39, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9764, loss_bbox: 0.7232, loss_centerness: 0.6503, loss: 8.3499 2022-09-29 05:49:38,454 - mmdet - INFO - Epoch [9][5950/7390] lr: 1.000e-03, eta: 1:31:27, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9800, loss_bbox: 0.7238, loss_centerness: 0.6498, loss: 8.3536 2022-09-29 05:49:50,089 - mmdet - INFO - Epoch [9][6000/7390] lr: 1.000e-03, eta: 1:31:16, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9745, loss_bbox: 0.7224, loss_centerness: 0.6507, loss: 8.3476 2022-09-29 05:50:01,787 - mmdet - INFO - Epoch [9][6050/7390] lr: 1.000e-03, eta: 1:31:04, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9727, loss_bbox: 0.7222, loss_centerness: 0.6504, loss: 8.3454 2022-09-29 05:50:13,692 - mmdet - INFO - Epoch [9][6100/7390] lr: 1.000e-03, eta: 1:30:52, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9753, loss_bbox: 0.7228, loss_centerness: 0.6501, loss: 8.3483 2022-09-29 05:50:25,509 - mmdet - INFO - Epoch [9][6150/7390] lr: 1.000e-03, eta: 1:30:41, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9724, loss_bbox: 0.7194, loss_centerness: 0.6508, loss: 8.3426 2022-09-29 05:50:37,331 - mmdet - INFO - Epoch [9][6200/7390] lr: 1.000e-03, eta: 1:30:29, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9778, loss_bbox: 0.7201, loss_centerness: 0.6509, loss: 8.3487 2022-09-29 05:50:49,078 - mmdet - INFO - Epoch [9][6250/7390] lr: 1.000e-03, eta: 1:30:18, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9840, loss_bbox: 0.7233, loss_centerness: 0.6505, loss: 8.3577 2022-09-29 05:51:00,770 - mmdet - INFO - Epoch [9][6300/7390] lr: 1.000e-03, eta: 1:30:06, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9828, loss_bbox: 0.7226, loss_centerness: 0.6497, loss: 8.3551 2022-09-29 05:51:12,571 - mmdet - INFO - Epoch [9][6350/7390] lr: 1.000e-03, eta: 1:29:55, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9803, loss_bbox: 0.7230, loss_centerness: 0.6501, loss: 8.3533 2022-09-29 05:51:24,304 - mmdet - INFO - Epoch [9][6400/7390] lr: 1.000e-03, eta: 1:29:43, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9705, loss_bbox: 0.7205, loss_centerness: 0.6506, loss: 8.3416 2022-09-29 05:51:35,997 - mmdet - INFO - Epoch [9][6450/7390] lr: 1.000e-03, eta: 1:29:31, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9728, loss_bbox: 0.7237, loss_centerness: 0.6506, loss: 8.3472 2022-09-29 05:51:47,905 - mmdet - INFO - Epoch [9][6500/7390] lr: 1.000e-03, eta: 1:29:20, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9796, loss_bbox: 0.7228, loss_centerness: 0.6505, loss: 8.3529 2022-09-29 05:51:59,620 - mmdet - INFO - Epoch [9][6550/7390] lr: 1.000e-03, eta: 1:29:08, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9667, loss_bbox: 0.7204, loss_centerness: 0.6503, loss: 8.3374 2022-09-29 05:52:11,413 - mmdet - INFO - Epoch [9][6600/7390] lr: 1.000e-03, eta: 1:28:57, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9799, loss_bbox: 0.7207, loss_centerness: 0.6498, loss: 8.3504 2022-09-29 05:52:23,200 - mmdet - INFO - Epoch [9][6650/7390] lr: 1.000e-03, eta: 1:28:45, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9762, loss_bbox: 0.7215, loss_centerness: 0.6500, loss: 8.3478 2022-09-29 05:52:34,835 - mmdet - INFO - Epoch [9][6700/7390] lr: 1.000e-03, eta: 1:28:34, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9794, loss_bbox: 0.7223, loss_centerness: 0.6506, loss: 8.3523 2022-09-29 05:52:46,760 - mmdet - INFO - Epoch [9][6750/7390] lr: 1.000e-03, eta: 1:28:22, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9568, loss_bbox: 0.7212, loss_centerness: 0.6482, loss: 8.3261 2022-09-29 05:52:58,440 - mmdet - INFO - Epoch [9][6800/7390] lr: 1.000e-03, eta: 1:28:10, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9745, loss_bbox: 0.7216, loss_centerness: 0.6502, loss: 8.3462 2022-09-29 05:53:10,226 - mmdet - INFO - Epoch [9][6850/7390] lr: 1.000e-03, eta: 1:27:59, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9684, loss_bbox: 0.7202, loss_centerness: 0.6499, loss: 8.3385 2022-09-29 05:53:21,803 - mmdet - INFO - Epoch [9][6900/7390] lr: 1.000e-03, eta: 1:27:47, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9781, loss_bbox: 0.7231, loss_centerness: 0.6509, loss: 8.3521 2022-09-29 05:53:33,403 - mmdet - INFO - Epoch [9][6950/7390] lr: 1.000e-03, eta: 1:27:36, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9763, loss_bbox: 0.7223, loss_centerness: 0.6500, loss: 8.3486 2022-09-29 05:53:45,367 - mmdet - INFO - Epoch [9][7000/7390] lr: 1.000e-03, eta: 1:27:24, time: 0.239, data_time: 0.009, memory: 22925, loss_cls: 6.9720, loss_bbox: 0.7199, loss_centerness: 0.6495, loss: 8.3414 2022-09-29 05:53:56,907 - mmdet - INFO - Epoch [9][7050/7390] lr: 1.000e-03, eta: 1:27:12, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9826, loss_bbox: 0.7219, loss_centerness: 0.6506, loss: 8.3550 2022-09-29 05:54:08,914 - mmdet - INFO - Epoch [9][7100/7390] lr: 1.000e-03, eta: 1:27:01, time: 0.240, data_time: 0.009, memory: 22925, loss_cls: 6.9790, loss_bbox: 0.7233, loss_centerness: 0.6501, loss: 8.3523 2022-09-29 05:54:20,596 - mmdet - INFO - Epoch [9][7150/7390] lr: 1.000e-03, eta: 1:26:49, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9731, loss_bbox: 0.7239, loss_centerness: 0.6500, loss: 8.3469 2022-09-29 05:54:32,363 - mmdet - INFO - Epoch [9][7200/7390] lr: 1.000e-03, eta: 1:26:38, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9732, loss_bbox: 0.7210, loss_centerness: 0.6503, loss: 8.3445 2022-09-29 05:54:44,000 - mmdet - INFO - Epoch [9][7250/7390] lr: 1.000e-03, eta: 1:26:26, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9778, loss_bbox: 0.7234, loss_centerness: 0.6503, loss: 8.3515 2022-09-29 05:54:55,795 - mmdet - INFO - Epoch [9][7300/7390] lr: 1.000e-03, eta: 1:26:15, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9688, loss_bbox: 0.7261, loss_centerness: 0.6500, loss: 8.3449 2022-09-29 05:55:07,465 - mmdet - INFO - Epoch [9][7350/7390] lr: 1.000e-03, eta: 1:26:03, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9774, loss_bbox: 0.7238, loss_centerness: 0.6493, loss: 8.3504 2022-09-29 05:55:16,982 - mmdet - INFO - Saving checkpoint at 9 epochs 2022-09-29 05:55:32,772 - mmdet - INFO - Epoch [10][50/7390] lr: 1.000e-03, eta: 1:25:40, time: 0.296, data_time: 0.069, memory: 22925, loss_cls: 6.9687, loss_bbox: 0.7206, loss_centerness: 0.6496, loss: 8.3389 2022-09-29 05:55:44,527 - mmdet - INFO - Epoch [10][100/7390] lr: 1.000e-03, eta: 1:25:28, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9791, loss_bbox: 0.7237, loss_centerness: 0.6503, loss: 8.3531 2022-09-29 05:55:56,209 - mmdet - INFO - Epoch [10][150/7390] lr: 1.000e-03, eta: 1:25:17, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9755, loss_bbox: 0.7229, loss_centerness: 0.6501, loss: 8.3485 2022-09-29 05:56:07,964 - mmdet - INFO - Epoch [10][200/7390] lr: 1.000e-03, eta: 1:25:05, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9830, loss_bbox: 0.7225, loss_centerness: 0.6503, loss: 8.3558 2022-09-29 05:56:19,546 - mmdet - INFO - Epoch [10][250/7390] lr: 1.000e-03, eta: 1:24:54, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9853, loss_bbox: 0.7206, loss_centerness: 0.6507, loss: 8.3567 2022-09-29 05:56:31,330 - mmdet - INFO - Epoch [10][300/7390] lr: 1.000e-03, eta: 1:24:42, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9528, loss_bbox: 0.7209, loss_centerness: 0.6486, loss: 8.3224 2022-09-29 05:56:43,094 - mmdet - INFO - Epoch [10][350/7390] lr: 1.000e-03, eta: 1:24:30, time: 0.235, data_time: 0.010, memory: 22925, loss_cls: 6.9783, loss_bbox: 0.7204, loss_centerness: 0.6499, loss: 8.3486 2022-09-29 05:56:54,874 - mmdet - INFO - Epoch [10][400/7390] lr: 1.000e-03, eta: 1:24:19, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9717, loss_bbox: 0.7210, loss_centerness: 0.6500, loss: 8.3427 2022-09-29 05:57:06,683 - mmdet - INFO - Epoch [10][450/7390] lr: 1.000e-03, eta: 1:24:07, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9674, loss_bbox: 0.7218, loss_centerness: 0.6504, loss: 8.3396 2022-09-29 05:57:18,461 - mmdet - INFO - Epoch [10][500/7390] lr: 1.000e-03, eta: 1:23:56, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9723, loss_bbox: 0.7206, loss_centerness: 0.6505, loss: 8.3434 2022-09-29 05:57:30,198 - mmdet - INFO - Epoch [10][550/7390] lr: 1.000e-03, eta: 1:23:44, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9694, loss_bbox: 0.7202, loss_centerness: 0.6498, loss: 8.3393 2022-09-29 05:57:41,871 - mmdet - INFO - Epoch [10][600/7390] lr: 1.000e-03, eta: 1:23:33, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9755, loss_bbox: 0.7231, loss_centerness: 0.6504, loss: 8.3490 2022-09-29 05:57:53,665 - mmdet - INFO - Epoch [10][650/7390] lr: 1.000e-03, eta: 1:23:21, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9727, loss_bbox: 0.7209, loss_centerness: 0.6500, loss: 8.3436 2022-09-29 05:58:05,291 - mmdet - INFO - Epoch [10][700/7390] lr: 1.000e-03, eta: 1:23:09, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9717, loss_bbox: 0.7203, loss_centerness: 0.6504, loss: 8.3424 2022-09-29 05:58:17,127 - mmdet - INFO - Epoch [10][750/7390] lr: 1.000e-03, eta: 1:22:58, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9725, loss_bbox: 0.7222, loss_centerness: 0.6505, loss: 8.3452 2022-09-29 05:58:28,791 - mmdet - INFO - Epoch [10][800/7390] lr: 1.000e-03, eta: 1:22:46, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9769, loss_bbox: 0.7220, loss_centerness: 0.6501, loss: 8.3490 2022-09-29 05:58:40,347 - mmdet - INFO - Epoch [10][850/7390] lr: 1.000e-03, eta: 1:22:35, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9769, loss_bbox: 0.7231, loss_centerness: 0.6505, loss: 8.3505 2022-09-29 05:58:52,068 - mmdet - INFO - Epoch [10][900/7390] lr: 1.000e-03, eta: 1:22:23, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9703, loss_bbox: 0.7213, loss_centerness: 0.6498, loss: 8.3415 2022-09-29 05:59:03,505 - mmdet - INFO - Epoch [10][950/7390] lr: 1.000e-03, eta: 1:22:11, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9738, loss_bbox: 0.7201, loss_centerness: 0.6496, loss: 8.3435 2022-09-29 05:59:15,182 - mmdet - INFO - Epoch [10][1000/7390] lr: 1.000e-03, eta: 1:22:00, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9745, loss_bbox: 0.7209, loss_centerness: 0.6501, loss: 8.3455 2022-09-29 05:59:26,799 - mmdet - INFO - Epoch [10][1050/7390] lr: 1.000e-03, eta: 1:21:48, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9679, loss_bbox: 0.7217, loss_centerness: 0.6502, loss: 8.3399 2022-09-29 05:59:38,312 - mmdet - INFO - Epoch [10][1100/7390] lr: 1.000e-03, eta: 1:21:36, time: 0.230, data_time: 0.008, memory: 22925, loss_cls: 6.9755, loss_bbox: 0.7204, loss_centerness: 0.6503, loss: 8.3462 2022-09-29 05:59:49,957 - mmdet - INFO - Epoch [10][1150/7390] lr: 1.000e-03, eta: 1:21:25, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9778, loss_bbox: 0.7222, loss_centerness: 0.6503, loss: 8.3502 2022-09-29 06:00:01,646 - mmdet - INFO - Epoch [10][1200/7390] lr: 1.000e-03, eta: 1:21:13, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9829, loss_bbox: 0.7220, loss_centerness: 0.6500, loss: 8.3549 2022-09-29 06:00:13,334 - mmdet - INFO - Epoch [10][1250/7390] lr: 1.000e-03, eta: 1:21:02, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9786, loss_bbox: 0.7239, loss_centerness: 0.6499, loss: 8.3524 2022-09-29 06:00:24,933 - mmdet - INFO - Epoch [10][1300/7390] lr: 1.000e-03, eta: 1:20:50, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9675, loss_bbox: 0.7209, loss_centerness: 0.6505, loss: 8.3389 2022-09-29 06:00:36,444 - mmdet - INFO - Epoch [10][1350/7390] lr: 1.000e-03, eta: 1:20:38, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9711, loss_bbox: 0.7233, loss_centerness: 0.6498, loss: 8.3441 2022-09-29 06:00:48,019 - mmdet - INFO - Epoch [10][1400/7390] lr: 1.000e-03, eta: 1:20:27, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9750, loss_bbox: 0.7214, loss_centerness: 0.6501, loss: 8.3465 2022-09-29 06:00:59,579 - mmdet - INFO - Epoch [10][1450/7390] lr: 1.000e-03, eta: 1:20:15, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9858, loss_bbox: 0.7196, loss_centerness: 0.6501, loss: 8.3554 2022-09-29 06:01:11,211 - mmdet - INFO - Epoch [10][1500/7390] lr: 1.000e-03, eta: 1:20:03, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9720, loss_bbox: 0.7234, loss_centerness: 0.6504, loss: 8.3458 2022-09-29 06:01:22,813 - mmdet - INFO - Epoch [10][1550/7390] lr: 1.000e-03, eta: 1:19:52, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9731, loss_bbox: 0.7223, loss_centerness: 0.6503, loss: 8.3457 2022-09-29 06:01:34,380 - mmdet - INFO - Epoch [10][1600/7390] lr: 1.000e-03, eta: 1:19:40, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9775, loss_bbox: 0.7201, loss_centerness: 0.6502, loss: 8.3479 2022-09-29 06:01:45,983 - mmdet - INFO - Epoch [10][1650/7390] lr: 1.000e-03, eta: 1:19:29, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9737, loss_bbox: 0.7213, loss_centerness: 0.6505, loss: 8.3455 2022-09-29 06:01:57,574 - mmdet - INFO - Epoch [10][1700/7390] lr: 1.000e-03, eta: 1:19:17, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9718, loss_bbox: 0.7207, loss_centerness: 0.6499, loss: 8.3424 2022-09-29 06:02:09,225 - mmdet - INFO - Epoch [10][1750/7390] lr: 1.000e-03, eta: 1:19:05, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9777, loss_bbox: 0.7220, loss_centerness: 0.6497, loss: 8.3495 2022-09-29 06:02:20,948 - mmdet - INFO - Epoch [10][1800/7390] lr: 1.000e-03, eta: 1:18:54, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9694, loss_bbox: 0.7223, loss_centerness: 0.6506, loss: 8.3424 2022-09-29 06:02:32,604 - mmdet - INFO - Epoch [10][1850/7390] lr: 1.000e-03, eta: 1:18:42, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9738, loss_bbox: 0.7207, loss_centerness: 0.6503, loss: 8.3448 2022-09-29 06:02:44,229 - mmdet - INFO - Epoch [10][1900/7390] lr: 1.000e-03, eta: 1:18:31, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9809, loss_bbox: 0.7228, loss_centerness: 0.6503, loss: 8.3540 2022-09-29 06:02:55,897 - mmdet - INFO - Epoch [10][1950/7390] lr: 1.000e-03, eta: 1:18:19, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9756, loss_bbox: 0.7226, loss_centerness: 0.6504, loss: 8.3486 2022-09-29 06:03:07,472 - mmdet - INFO - Epoch [10][2000/7390] lr: 1.000e-03, eta: 1:18:07, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9759, loss_bbox: 0.7201, loss_centerness: 0.6501, loss: 8.3461 2022-09-29 06:03:19,149 - mmdet - INFO - Epoch [10][2050/7390] lr: 1.000e-03, eta: 1:17:56, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9607, loss_bbox: 0.7265, loss_centerness: 0.6488, loss: 8.3361 2022-09-29 06:03:30,753 - mmdet - INFO - Epoch [10][2100/7390] lr: 1.000e-03, eta: 1:17:44, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9761, loss_bbox: 0.7213, loss_centerness: 0.6499, loss: 8.3473 2022-09-29 06:03:42,346 - mmdet - INFO - Epoch [10][2150/7390] lr: 1.000e-03, eta: 1:17:32, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9675, loss_bbox: 0.7226, loss_centerness: 0.6495, loss: 8.3396 2022-09-29 06:03:54,014 - mmdet - INFO - Epoch [10][2200/7390] lr: 1.000e-03, eta: 1:17:21, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9697, loss_bbox: 0.7221, loss_centerness: 0.6499, loss: 8.3417 2022-09-29 06:04:05,612 - mmdet - INFO - Epoch [10][2250/7390] lr: 1.000e-03, eta: 1:17:09, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9761, loss_bbox: 0.7245, loss_centerness: 0.6503, loss: 8.3510 2022-09-29 06:04:17,241 - mmdet - INFO - Epoch [10][2300/7390] lr: 1.000e-03, eta: 1:16:58, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9852, loss_bbox: 0.7202, loss_centerness: 0.6506, loss: 8.3561 2022-09-29 06:04:28,947 - mmdet - INFO - Epoch [10][2350/7390] lr: 1.000e-03, eta: 1:16:46, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9756, loss_bbox: 0.7193, loss_centerness: 0.6502, loss: 8.3452 2022-09-29 06:04:40,582 - mmdet - INFO - Epoch [10][2400/7390] lr: 1.000e-03, eta: 1:16:34, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9800, loss_bbox: 0.7262, loss_centerness: 0.6506, loss: 8.3569 2022-09-29 06:04:52,206 - mmdet - INFO - Epoch [10][2450/7390] lr: 1.000e-03, eta: 1:16:23, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9814, loss_bbox: 0.7208, loss_centerness: 0.6504, loss: 8.3527 2022-09-29 06:05:03,891 - mmdet - INFO - Epoch [10][2500/7390] lr: 1.000e-03, eta: 1:16:11, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9677, loss_bbox: 0.7230, loss_centerness: 0.6503, loss: 8.3410 2022-09-29 06:05:15,461 - mmdet - INFO - Epoch [10][2550/7390] lr: 1.000e-03, eta: 1:15:59, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9652, loss_bbox: 0.7223, loss_centerness: 0.6489, loss: 8.3364 2022-09-29 06:05:27,153 - mmdet - INFO - Epoch [10][2600/7390] lr: 1.000e-03, eta: 1:15:48, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9789, loss_bbox: 0.7234, loss_centerness: 0.6506, loss: 8.3529 2022-09-29 06:05:38,844 - mmdet - INFO - Epoch [10][2650/7390] lr: 1.000e-03, eta: 1:15:36, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9809, loss_bbox: 0.7213, loss_centerness: 0.6498, loss: 8.3520 2022-09-29 06:05:50,623 - mmdet - INFO - Epoch [10][2700/7390] lr: 1.000e-03, eta: 1:15:25, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9686, loss_bbox: 0.7215, loss_centerness: 0.6504, loss: 8.3406 2022-09-29 06:06:02,263 - mmdet - INFO - Epoch [10][2750/7390] lr: 1.000e-03, eta: 1:15:13, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9756, loss_bbox: 0.7237, loss_centerness: 0.6507, loss: 8.3499 2022-09-29 06:06:13,899 - mmdet - INFO - Epoch [10][2800/7390] lr: 1.000e-03, eta: 1:15:01, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9780, loss_bbox: 0.7207, loss_centerness: 0.6502, loss: 8.3489 2022-09-29 06:06:25,439 - mmdet - INFO - Epoch [10][2850/7390] lr: 1.000e-03, eta: 1:14:50, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9774, loss_bbox: 0.7242, loss_centerness: 0.6496, loss: 8.3512 2022-09-29 06:06:36,947 - mmdet - INFO - Epoch [10][2900/7390] lr: 1.000e-03, eta: 1:14:38, time: 0.230, data_time: 0.008, memory: 22925, loss_cls: 6.9814, loss_bbox: 0.7201, loss_centerness: 0.6507, loss: 8.3522 2022-09-29 06:06:48,581 - mmdet - INFO - Epoch [10][2950/7390] lr: 1.000e-03, eta: 1:14:27, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9710, loss_bbox: 0.7202, loss_centerness: 0.6505, loss: 8.3417 2022-09-29 06:07:00,253 - mmdet - INFO - Epoch [10][3000/7390] lr: 1.000e-03, eta: 1:14:15, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9763, loss_bbox: 0.7226, loss_centerness: 0.6502, loss: 8.3491 2022-09-29 06:07:11,925 - mmdet - INFO - Epoch [10][3050/7390] lr: 1.000e-03, eta: 1:14:03, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9773, loss_bbox: 0.7215, loss_centerness: 0.6503, loss: 8.3491 2022-09-29 06:07:23,522 - mmdet - INFO - Epoch [10][3100/7390] lr: 1.000e-03, eta: 1:13:52, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9609, loss_bbox: 0.7233, loss_centerness: 0.6482, loss: 8.3323 2022-09-29 06:07:35,061 - mmdet - INFO - Epoch [10][3150/7390] lr: 1.000e-03, eta: 1:13:40, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9792, loss_bbox: 0.7234, loss_centerness: 0.6500, loss: 8.3526 2022-09-29 06:07:46,579 - mmdet - INFO - Epoch [10][3200/7390] lr: 1.000e-03, eta: 1:13:28, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9703, loss_bbox: 0.7225, loss_centerness: 0.6497, loss: 8.3424 2022-09-29 06:07:58,175 - mmdet - INFO - Epoch [10][3250/7390] lr: 1.000e-03, eta: 1:13:17, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9742, loss_bbox: 0.7222, loss_centerness: 0.6500, loss: 8.3465 2022-09-29 06:08:09,786 - mmdet - INFO - Epoch [10][3300/7390] lr: 1.000e-03, eta: 1:13:05, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9729, loss_bbox: 0.7193, loss_centerness: 0.6504, loss: 8.3426 2022-09-29 06:08:21,474 - mmdet - INFO - Epoch [10][3350/7390] lr: 1.000e-03, eta: 1:12:54, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9699, loss_bbox: 0.7202, loss_centerness: 0.6501, loss: 8.3402 2022-09-29 06:08:33,139 - mmdet - INFO - Epoch [10][3400/7390] lr: 1.000e-03, eta: 1:12:42, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9742, loss_bbox: 0.7239, loss_centerness: 0.6505, loss: 8.3486 2022-09-29 06:08:44,795 - mmdet - INFO - Epoch [10][3450/7390] lr: 1.000e-03, eta: 1:12:30, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9777, loss_bbox: 0.7241, loss_centerness: 0.6501, loss: 8.3519 2022-09-29 06:08:56,359 - mmdet - INFO - Epoch [10][3500/7390] lr: 1.000e-03, eta: 1:12:19, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9742, loss_bbox: 0.7234, loss_centerness: 0.6504, loss: 8.3480 2022-09-29 06:09:08,014 - mmdet - INFO - Epoch [10][3550/7390] lr: 1.000e-03, eta: 1:12:07, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9713, loss_bbox: 0.7197, loss_centerness: 0.6499, loss: 8.3409 2022-09-29 06:09:19,721 - mmdet - INFO - Epoch [10][3600/7390] lr: 1.000e-03, eta: 1:11:56, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9755, loss_bbox: 0.7249, loss_centerness: 0.6506, loss: 8.3510 2022-09-29 06:09:31,331 - mmdet - INFO - Epoch [10][3650/7390] lr: 1.000e-03, eta: 1:11:44, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9766, loss_bbox: 0.7223, loss_centerness: 0.6504, loss: 8.3493 2022-09-29 06:09:43,157 - mmdet - INFO - Epoch [10][3700/7390] lr: 1.000e-03, eta: 1:11:32, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9831, loss_bbox: 0.7215, loss_centerness: 0.6500, loss: 8.3546 2022-09-29 06:09:54,834 - mmdet - INFO - Epoch [10][3750/7390] lr: 1.000e-03, eta: 1:11:21, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9724, loss_bbox: 0.7227, loss_centerness: 0.6503, loss: 8.3454 2022-09-29 06:10:06,569 - mmdet - INFO - Epoch [10][3800/7390] lr: 1.000e-03, eta: 1:11:09, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9751, loss_bbox: 0.7193, loss_centerness: 0.6504, loss: 8.3448 2022-09-29 06:10:17,965 - mmdet - INFO - Epoch [10][3850/7390] lr: 1.000e-03, eta: 1:10:57, time: 0.227, data_time: 0.008, memory: 22925, loss_cls: 6.9752, loss_bbox: 0.7191, loss_centerness: 0.6501, loss: 8.3444 2022-09-29 06:10:29,700 - mmdet - INFO - Epoch [10][3900/7390] lr: 1.000e-03, eta: 1:10:46, time: 0.235, data_time: 0.010, memory: 22925, loss_cls: 6.9743, loss_bbox: 0.7245, loss_centerness: 0.6507, loss: 8.3495 2022-09-29 06:10:41,332 - mmdet - INFO - Epoch [10][3950/7390] lr: 1.000e-03, eta: 1:10:34, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9739, loss_bbox: 0.7193, loss_centerness: 0.6510, loss: 8.3442 2022-09-29 06:10:53,027 - mmdet - INFO - Epoch [10][4000/7390] lr: 1.000e-03, eta: 1:10:23, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9788, loss_bbox: 0.7225, loss_centerness: 0.6503, loss: 8.3516 2022-09-29 06:11:04,665 - mmdet - INFO - Epoch [10][4050/7390] lr: 1.000e-03, eta: 1:10:11, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9661, loss_bbox: 0.7220, loss_centerness: 0.6498, loss: 8.3379 2022-09-29 06:11:16,248 - mmdet - INFO - Epoch [10][4100/7390] lr: 1.000e-03, eta: 1:09:59, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9783, loss_bbox: 0.7204, loss_centerness: 0.6498, loss: 8.3486 2022-09-29 06:11:27,867 - mmdet - INFO - Epoch [10][4150/7390] lr: 1.000e-03, eta: 1:09:48, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9781, loss_bbox: 0.7201, loss_centerness: 0.6496, loss: 8.3478 2022-09-29 06:11:39,439 - mmdet - INFO - Epoch [10][4200/7390] lr: 1.000e-03, eta: 1:09:36, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9690, loss_bbox: 0.7170, loss_centerness: 0.6503, loss: 8.3363 2022-09-29 06:11:51,050 - mmdet - INFO - Epoch [10][4250/7390] lr: 1.000e-03, eta: 1:09:25, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9607, loss_bbox: 0.7210, loss_centerness: 0.6502, loss: 8.3319 2022-09-29 06:12:02,840 - mmdet - INFO - Epoch [10][4300/7390] lr: 1.000e-03, eta: 1:09:13, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9780, loss_bbox: 0.7223, loss_centerness: 0.6502, loss: 8.3505 2022-09-29 06:12:14,380 - mmdet - INFO - Epoch [10][4350/7390] lr: 1.000e-03, eta: 1:09:01, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9824, loss_bbox: 0.7227, loss_centerness: 0.6505, loss: 8.3555 2022-09-29 06:12:26,056 - mmdet - INFO - Epoch [10][4400/7390] lr: 1.000e-03, eta: 1:08:50, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9722, loss_bbox: 0.7213, loss_centerness: 0.6509, loss: 8.3444 2022-09-29 06:12:37,693 - mmdet - INFO - Epoch [10][4450/7390] lr: 1.000e-03, eta: 1:08:38, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9786, loss_bbox: 0.7207, loss_centerness: 0.6502, loss: 8.3495 2022-09-29 06:12:49,404 - mmdet - INFO - Epoch [10][4500/7390] lr: 1.000e-03, eta: 1:08:26, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9807, loss_bbox: 0.7215, loss_centerness: 0.6503, loss: 8.3525 2022-09-29 06:13:01,041 - mmdet - INFO - Epoch [10][4550/7390] lr: 1.000e-03, eta: 1:08:15, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9745, loss_bbox: 0.7182, loss_centerness: 0.6506, loss: 8.3434 2022-09-29 06:13:12,665 - mmdet - INFO - Epoch [10][4600/7390] lr: 1.000e-03, eta: 1:08:03, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9764, loss_bbox: 0.7215, loss_centerness: 0.6503, loss: 8.3482 2022-09-29 06:13:24,267 - mmdet - INFO - Epoch [10][4650/7390] lr: 1.000e-03, eta: 1:07:52, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9768, loss_bbox: 0.7195, loss_centerness: 0.6500, loss: 8.3462 2022-09-29 06:13:35,899 - mmdet - INFO - Epoch [10][4700/7390] lr: 1.000e-03, eta: 1:07:40, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9747, loss_bbox: 0.7215, loss_centerness: 0.6499, loss: 8.3461 2022-09-29 06:13:47,569 - mmdet - INFO - Epoch [10][4750/7390] lr: 1.000e-03, eta: 1:07:28, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9724, loss_bbox: 0.7230, loss_centerness: 0.6505, loss: 8.3458 2022-09-29 06:13:59,178 - mmdet - INFO - Epoch [10][4800/7390] lr: 1.000e-03, eta: 1:07:17, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9729, loss_bbox: 0.7205, loss_centerness: 0.6500, loss: 8.3434 2022-09-29 06:14:10,858 - mmdet - INFO - Epoch [10][4850/7390] lr: 1.000e-03, eta: 1:07:05, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9526, loss_bbox: 0.7211, loss_centerness: 0.6487, loss: 8.3223 2022-09-29 06:14:24,956 - mmdet - INFO - Epoch [10][4900/7390] lr: 1.000e-03, eta: 1:06:54, time: 0.282, data_time: 0.009, memory: 22925, loss_cls: 6.9589, loss_bbox: 0.7228, loss_centerness: 0.6482, loss: 8.3299 2022-09-29 06:14:36,768 - mmdet - INFO - Epoch [10][4950/7390] lr: 1.000e-03, eta: 1:06:43, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9766, loss_bbox: 0.7225, loss_centerness: 0.6505, loss: 8.3497 2022-09-29 06:14:48,423 - mmdet - INFO - Epoch [10][5000/7390] lr: 1.000e-03, eta: 1:06:31, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9803, loss_bbox: 0.7201, loss_centerness: 0.6504, loss: 8.3508 2022-09-29 06:15:00,096 - mmdet - INFO - Epoch [10][5050/7390] lr: 1.000e-03, eta: 1:06:19, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9693, loss_bbox: 0.7228, loss_centerness: 0.6500, loss: 8.3422 2022-09-29 06:15:11,731 - mmdet - INFO - Epoch [10][5100/7390] lr: 1.000e-03, eta: 1:06:08, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9642, loss_bbox: 0.7207, loss_centerness: 0.6498, loss: 8.3347 2022-09-29 06:15:23,384 - mmdet - INFO - Epoch [10][5150/7390] lr: 1.000e-03, eta: 1:05:56, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9721, loss_bbox: 0.7198, loss_centerness: 0.6502, loss: 8.3421 2022-09-29 06:15:35,098 - mmdet - INFO - Epoch [10][5200/7390] lr: 1.000e-03, eta: 1:05:44, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9783, loss_bbox: 0.7194, loss_centerness: 0.6500, loss: 8.3476 2022-09-29 06:15:46,597 - mmdet - INFO - Epoch [10][5250/7390] lr: 1.000e-03, eta: 1:05:33, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9753, loss_bbox: 0.7231, loss_centerness: 0.6507, loss: 8.3491 2022-09-29 06:15:58,222 - mmdet - INFO - Epoch [10][5300/7390] lr: 1.000e-03, eta: 1:05:21, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9695, loss_bbox: 0.7206, loss_centerness: 0.6500, loss: 8.3400 2022-09-29 06:16:09,752 - mmdet - INFO - Epoch [10][5350/7390] lr: 1.000e-03, eta: 1:05:10, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9795, loss_bbox: 0.7242, loss_centerness: 0.6500, loss: 8.3537 2022-09-29 06:16:21,220 - mmdet - INFO - Epoch [10][5400/7390] lr: 1.000e-03, eta: 1:04:58, time: 0.230, data_time: 0.008, memory: 22925, loss_cls: 6.9826, loss_bbox: 0.7233, loss_centerness: 0.6501, loss: 8.3561 2022-09-29 06:16:32,799 - mmdet - INFO - Epoch [10][5450/7390] lr: 1.000e-03, eta: 1:04:46, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9790, loss_bbox: 0.7224, loss_centerness: 0.6504, loss: 8.3518 2022-09-29 06:16:44,461 - mmdet - INFO - Epoch [10][5500/7390] lr: 1.000e-03, eta: 1:04:35, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9822, loss_bbox: 0.7180, loss_centerness: 0.6496, loss: 8.3498 2022-09-29 06:16:56,157 - mmdet - INFO - Epoch [10][5550/7390] lr: 1.000e-03, eta: 1:04:23, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9583, loss_bbox: 0.7222, loss_centerness: 0.6485, loss: 8.3290 2022-09-29 06:17:07,792 - mmdet - INFO - Epoch [10][5600/7390] lr: 1.000e-03, eta: 1:04:11, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9739, loss_bbox: 0.7225, loss_centerness: 0.6501, loss: 8.3465 2022-09-29 06:17:19,595 - mmdet - INFO - Epoch [10][5650/7390] lr: 1.000e-03, eta: 1:04:00, time: 0.236, data_time: 0.008, memory: 22925, loss_cls: 6.9800, loss_bbox: 0.7229, loss_centerness: 0.6509, loss: 8.3538 2022-09-29 06:17:31,200 - mmdet - INFO - Epoch [10][5700/7390] lr: 1.000e-03, eta: 1:03:48, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9730, loss_bbox: 0.7228, loss_centerness: 0.6501, loss: 8.3459 2022-09-29 06:17:42,891 - mmdet - INFO - Epoch [10][5750/7390] lr: 1.000e-03, eta: 1:03:37, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9854, loss_bbox: 0.7213, loss_centerness: 0.6503, loss: 8.3569 2022-09-29 06:17:54,742 - mmdet - INFO - Epoch [10][5800/7390] lr: 1.000e-03, eta: 1:03:25, time: 0.237, data_time: 0.008, memory: 22925, loss_cls: 6.9753, loss_bbox: 0.7244, loss_centerness: 0.6503, loss: 8.3500 2022-09-29 06:18:06,408 - mmdet - INFO - Epoch [10][5850/7390] lr: 1.000e-03, eta: 1:03:13, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9785, loss_bbox: 0.7229, loss_centerness: 0.6505, loss: 8.3519 2022-09-29 06:18:18,010 - mmdet - INFO - Epoch [10][5900/7390] lr: 1.000e-03, eta: 1:03:02, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9753, loss_bbox: 0.7195, loss_centerness: 0.6502, loss: 8.3450 2022-09-29 06:18:29,510 - mmdet - INFO - Epoch [10][5950/7390] lr: 1.000e-03, eta: 1:02:50, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9810, loss_bbox: 0.7169, loss_centerness: 0.6502, loss: 8.3482 2022-09-29 06:18:41,091 - mmdet - INFO - Epoch [10][6000/7390] lr: 1.000e-03, eta: 1:02:38, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9701, loss_bbox: 0.7209, loss_centerness: 0.6499, loss: 8.3409 2022-09-29 06:18:52,748 - mmdet - INFO - Epoch [10][6050/7390] lr: 1.000e-03, eta: 1:02:27, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9813, loss_bbox: 0.7224, loss_centerness: 0.6506, loss: 8.3543 2022-09-29 06:19:04,334 - mmdet - INFO - Epoch [10][6100/7390] lr: 1.000e-03, eta: 1:02:15, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9781, loss_bbox: 0.7209, loss_centerness: 0.6503, loss: 8.3493 2022-09-29 06:19:15,985 - mmdet - INFO - Epoch [10][6150/7390] lr: 1.000e-03, eta: 1:02:04, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9746, loss_bbox: 0.7207, loss_centerness: 0.6493, loss: 8.3447 2022-09-29 06:19:27,566 - mmdet - INFO - Epoch [10][6200/7390] lr: 1.000e-03, eta: 1:01:52, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9778, loss_bbox: 0.7215, loss_centerness: 0.6503, loss: 8.3496 2022-09-29 06:19:39,216 - mmdet - INFO - Epoch [10][6250/7390] lr: 1.000e-03, eta: 1:01:40, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9863, loss_bbox: 0.7196, loss_centerness: 0.6500, loss: 8.3559 2022-09-29 06:19:50,727 - mmdet - INFO - Epoch [10][6300/7390] lr: 1.000e-03, eta: 1:01:29, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9685, loss_bbox: 0.7218, loss_centerness: 0.6497, loss: 8.3400 2022-09-29 06:20:02,413 - mmdet - INFO - Epoch [10][6350/7390] lr: 1.000e-03, eta: 1:01:17, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9669, loss_bbox: 0.7206, loss_centerness: 0.6507, loss: 8.3382 2022-09-29 06:20:13,813 - mmdet - INFO - Epoch [10][6400/7390] lr: 1.000e-03, eta: 1:01:05, time: 0.228, data_time: 0.009, memory: 22925, loss_cls: 6.9776, loss_bbox: 0.7230, loss_centerness: 0.6503, loss: 8.3510 2022-09-29 06:20:25,415 - mmdet - INFO - Epoch [10][6450/7390] lr: 1.000e-03, eta: 1:00:54, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9766, loss_bbox: 0.7179, loss_centerness: 0.6506, loss: 8.3451 2022-09-29 06:20:37,047 - mmdet - INFO - Epoch [10][6500/7390] lr: 1.000e-03, eta: 1:00:42, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9661, loss_bbox: 0.7193, loss_centerness: 0.6502, loss: 8.3356 2022-09-29 06:20:48,639 - mmdet - INFO - Epoch [10][6550/7390] lr: 1.000e-03, eta: 1:00:31, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9762, loss_bbox: 0.7222, loss_centerness: 0.6506, loss: 8.3490 2022-09-29 06:21:00,392 - mmdet - INFO - Epoch [10][6600/7390] lr: 1.000e-03, eta: 1:00:19, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9732, loss_bbox: 0.7210, loss_centerness: 0.6501, loss: 8.3443 2022-09-29 06:21:12,012 - mmdet - INFO - Epoch [10][6650/7390] lr: 1.000e-03, eta: 1:00:07, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9712, loss_bbox: 0.7214, loss_centerness: 0.6502, loss: 8.3429 2022-09-29 06:21:23,546 - mmdet - INFO - Epoch [10][6700/7390] lr: 1.000e-03, eta: 0:59:56, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9700, loss_bbox: 0.7214, loss_centerness: 0.6505, loss: 8.3419 2022-09-29 06:21:35,248 - mmdet - INFO - Epoch [10][6750/7390] lr: 1.000e-03, eta: 0:59:44, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9693, loss_bbox: 0.7212, loss_centerness: 0.6500, loss: 8.3406 2022-09-29 06:21:46,891 - mmdet - INFO - Epoch [10][6800/7390] lr: 1.000e-03, eta: 0:59:32, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9756, loss_bbox: 0.7238, loss_centerness: 0.6500, loss: 8.3494 2022-09-29 06:21:58,387 - mmdet - INFO - Epoch [10][6850/7390] lr: 1.000e-03, eta: 0:59:21, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9740, loss_bbox: 0.7221, loss_centerness: 0.6499, loss: 8.3460 2022-09-29 06:22:09,991 - mmdet - INFO - Epoch [10][6900/7390] lr: 1.000e-03, eta: 0:59:09, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9765, loss_bbox: 0.7212, loss_centerness: 0.6500, loss: 8.3477 2022-09-29 06:22:21,631 - mmdet - INFO - Epoch [10][6950/7390] lr: 1.000e-03, eta: 0:58:58, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9536, loss_bbox: 0.7221, loss_centerness: 0.6484, loss: 8.3240 2022-09-29 06:22:33,384 - mmdet - INFO - Epoch [10][7000/7390] lr: 1.000e-03, eta: 0:58:46, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9628, loss_bbox: 0.7222, loss_centerness: 0.6502, loss: 8.3352 2022-09-29 06:22:45,049 - mmdet - INFO - Epoch [10][7050/7390] lr: 1.000e-03, eta: 0:58:34, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9788, loss_bbox: 0.7205, loss_centerness: 0.6507, loss: 8.3499 2022-09-29 06:22:56,540 - mmdet - INFO - Epoch [10][7100/7390] lr: 1.000e-03, eta: 0:58:23, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9790, loss_bbox: 0.7209, loss_centerness: 0.6498, loss: 8.3496 2022-09-29 06:23:08,236 - mmdet - INFO - Epoch [10][7150/7390] lr: 1.000e-03, eta: 0:58:11, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9650, loss_bbox: 0.7238, loss_centerness: 0.6501, loss: 8.3390 2022-09-29 06:23:19,894 - mmdet - INFO - Epoch [10][7200/7390] lr: 1.000e-03, eta: 0:58:00, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9784, loss_bbox: 0.7226, loss_centerness: 0.6501, loss: 8.3511 2022-09-29 06:23:31,607 - mmdet - INFO - Epoch [10][7250/7390] lr: 1.000e-03, eta: 0:57:48, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9714, loss_bbox: 0.7222, loss_centerness: 0.6501, loss: 8.3437 2022-09-29 06:23:43,298 - mmdet - INFO - Epoch [10][7300/7390] lr: 1.000e-03, eta: 0:57:36, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9768, loss_bbox: 0.7251, loss_centerness: 0.6499, loss: 8.3519 2022-09-29 06:23:54,884 - mmdet - INFO - Epoch [10][7350/7390] lr: 1.000e-03, eta: 0:57:25, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9763, loss_bbox: 0.7210, loss_centerness: 0.6499, loss: 8.3473 2022-09-29 06:24:04,405 - mmdet - INFO - Saving checkpoint at 10 epochs 2022-09-29 06:24:20,096 - mmdet - INFO - Epoch [11][50/7390] lr: 1.000e-03, eta: 0:57:03, time: 0.296, data_time: 0.070, memory: 22925, loss_cls: 6.9784, loss_bbox: 0.7208, loss_centerness: 0.6499, loss: 8.3490 2022-09-29 06:24:31,659 - mmdet - INFO - Exp name: fcos.py 2022-09-29 06:24:31,660 - mmdet - INFO - Epoch [11][100/7390] lr: 1.000e-03, eta: 0:56:51, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9723, loss_bbox: 0.7219, loss_centerness: 0.6501, loss: 8.3443 2022-09-29 06:24:43,173 - mmdet - INFO - Epoch [11][150/7390] lr: 1.000e-03, eta: 0:56:39, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9775, loss_bbox: 0.7202, loss_centerness: 0.6496, loss: 8.3473 2022-09-29 06:24:55,064 - mmdet - INFO - Epoch [11][200/7390] lr: 1.000e-03, eta: 0:56:28, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9726, loss_bbox: 0.7230, loss_centerness: 0.6504, loss: 8.3460 2022-09-29 06:25:06,679 - mmdet - INFO - Epoch [11][250/7390] lr: 1.000e-03, eta: 0:56:16, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9783, loss_bbox: 0.7231, loss_centerness: 0.6503, loss: 8.3517 2022-09-29 06:25:18,453 - mmdet - INFO - Epoch [11][300/7390] lr: 1.000e-03, eta: 0:56:04, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9739, loss_bbox: 0.7205, loss_centerness: 0.6494, loss: 8.3439 2022-09-29 06:25:30,139 - mmdet - INFO - Epoch [11][350/7390] lr: 1.000e-03, eta: 0:55:53, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9721, loss_bbox: 0.7207, loss_centerness: 0.6502, loss: 8.3429 2022-09-29 06:25:41,757 - mmdet - INFO - Epoch [11][400/7390] lr: 1.000e-03, eta: 0:55:41, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9721, loss_bbox: 0.7219, loss_centerness: 0.6495, loss: 8.3435 2022-09-29 06:25:53,380 - mmdet - INFO - Epoch [11][450/7390] lr: 1.000e-03, eta: 0:55:30, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9779, loss_bbox: 0.7238, loss_centerness: 0.6506, loss: 8.3523 2022-09-29 06:26:05,141 - mmdet - INFO - Epoch [11][500/7390] lr: 1.000e-03, eta: 0:55:18, time: 0.235, data_time: 0.008, memory: 22925, loss_cls: 6.9732, loss_bbox: 0.7220, loss_centerness: 0.6504, loss: 8.3456 2022-09-29 06:26:16,644 - mmdet - INFO - Epoch [11][550/7390] lr: 1.000e-03, eta: 0:55:06, time: 0.230, data_time: 0.008, memory: 22925, loss_cls: 6.9723, loss_bbox: 0.7222, loss_centerness: 0.6499, loss: 8.3444 2022-09-29 06:26:28,239 - mmdet - INFO - Epoch [11][600/7390] lr: 1.000e-03, eta: 0:54:55, time: 0.232, data_time: 0.010, memory: 22925, loss_cls: 6.9754, loss_bbox: 0.7212, loss_centerness: 0.6501, loss: 8.3468 2022-09-29 06:26:39,856 - mmdet - INFO - Epoch [11][650/7390] lr: 1.000e-03, eta: 0:54:43, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9882, loss_bbox: 0.7226, loss_centerness: 0.6505, loss: 8.3613 2022-09-29 06:26:51,406 - mmdet - INFO - Epoch [11][700/7390] lr: 1.000e-03, eta: 0:54:32, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9730, loss_bbox: 0.7204, loss_centerness: 0.6500, loss: 8.3434 2022-09-29 06:27:03,131 - mmdet - INFO - Epoch [11][750/7390] lr: 1.000e-03, eta: 0:54:20, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9802, loss_bbox: 0.7222, loss_centerness: 0.6498, loss: 8.3522 2022-09-29 06:27:14,680 - mmdet - INFO - Epoch [11][800/7390] lr: 1.000e-03, eta: 0:54:08, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9553, loss_bbox: 0.7214, loss_centerness: 0.6486, loss: 8.3254 2022-09-29 06:27:26,236 - mmdet - INFO - Epoch [11][850/7390] lr: 1.000e-03, eta: 0:53:57, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9779, loss_bbox: 0.7205, loss_centerness: 0.6499, loss: 8.3484 2022-09-29 06:27:37,987 - mmdet - INFO - Epoch [11][900/7390] lr: 1.000e-03, eta: 0:53:45, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9750, loss_bbox: 0.7252, loss_centerness: 0.6503, loss: 8.3506 2022-09-29 06:27:49,498 - mmdet - INFO - Epoch [11][950/7390] lr: 1.000e-03, eta: 0:53:33, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9762, loss_bbox: 0.7197, loss_centerness: 0.6499, loss: 8.3457 2022-09-29 06:28:01,208 - mmdet - INFO - Epoch [11][1000/7390] lr: 1.000e-03, eta: 0:53:22, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9702, loss_bbox: 0.7237, loss_centerness: 0.6503, loss: 8.3441 2022-09-29 06:28:12,801 - mmdet - INFO - Epoch [11][1050/7390] lr: 1.000e-03, eta: 0:53:10, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9785, loss_bbox: 0.7212, loss_centerness: 0.6506, loss: 8.3503 2022-09-29 06:28:24,402 - mmdet - INFO - Exp name: fcos.py 2022-09-29 06:28:24,402 - mmdet - INFO - Epoch [11][1100/7390] lr: 1.000e-03, eta: 0:52:59, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9587, loss_bbox: 0.7189, loss_centerness: 0.6485, loss: 8.3261 2022-09-29 06:28:36,072 - mmdet - INFO - Epoch [11][1150/7390] lr: 1.000e-03, eta: 0:52:47, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9660, loss_bbox: 0.7222, loss_centerness: 0.6502, loss: 8.3384 2022-09-29 06:28:47,744 - mmdet - INFO - Epoch [11][1200/7390] lr: 1.000e-03, eta: 0:52:35, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9754, loss_bbox: 0.7205, loss_centerness: 0.6501, loss: 8.3460 2022-09-29 06:28:59,274 - mmdet - INFO - Epoch [11][1250/7390] lr: 1.000e-03, eta: 0:52:24, time: 0.230, data_time: 0.008, memory: 22925, loss_cls: 6.9808, loss_bbox: 0.7239, loss_centerness: 0.6500, loss: 8.3547 2022-09-29 06:29:10,994 - mmdet - INFO - Epoch [11][1300/7390] lr: 1.000e-03, eta: 0:52:12, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9628, loss_bbox: 0.7217, loss_centerness: 0.6499, loss: 8.3344 2022-09-29 06:29:22,624 - mmdet - INFO - Epoch [11][1350/7390] lr: 1.000e-03, eta: 0:52:00, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9769, loss_bbox: 0.7202, loss_centerness: 0.6501, loss: 8.3473 2022-09-29 06:29:34,238 - mmdet - INFO - Epoch [11][1400/7390] lr: 1.000e-03, eta: 0:51:49, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9659, loss_bbox: 0.7196, loss_centerness: 0.6498, loss: 8.3353 2022-09-29 06:29:45,827 - mmdet - INFO - Epoch [11][1450/7390] lr: 1.000e-03, eta: 0:51:37, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9749, loss_bbox: 0.7187, loss_centerness: 0.6501, loss: 8.3437 2022-09-29 06:29:57,458 - mmdet - INFO - Epoch [11][1500/7390] lr: 1.000e-03, eta: 0:51:26, time: 0.234, data_time: 0.010, memory: 22925, loss_cls: 6.9692, loss_bbox: 0.7241, loss_centerness: 0.6499, loss: 8.3432 2022-09-29 06:30:09,209 - mmdet - INFO - Epoch [11][1550/7390] lr: 1.000e-03, eta: 0:51:14, time: 0.235, data_time: 0.008, memory: 22925, loss_cls: 6.9666, loss_bbox: 0.7230, loss_centerness: 0.6499, loss: 8.3395 2022-09-29 06:30:20,886 - mmdet - INFO - Epoch [11][1600/7390] lr: 1.000e-03, eta: 0:51:02, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9611, loss_bbox: 0.7241, loss_centerness: 0.6484, loss: 8.3336 2022-09-29 06:30:32,436 - mmdet - INFO - Epoch [11][1650/7390] lr: 1.000e-03, eta: 0:50:51, time: 0.231, data_time: 0.010, memory: 22925, loss_cls: 6.9783, loss_bbox: 0.7196, loss_centerness: 0.6505, loss: 8.3484 2022-09-29 06:30:44,124 - mmdet - INFO - Epoch [11][1700/7390] lr: 1.000e-03, eta: 0:50:39, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9735, loss_bbox: 0.7212, loss_centerness: 0.6499, loss: 8.3446 2022-09-29 06:30:55,673 - mmdet - INFO - Epoch [11][1750/7390] lr: 1.000e-03, eta: 0:50:28, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9790, loss_bbox: 0.7211, loss_centerness: 0.6500, loss: 8.3501 2022-09-29 06:31:07,258 - mmdet - INFO - Epoch [11][1800/7390] lr: 1.000e-03, eta: 0:50:16, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9600, loss_bbox: 0.7200, loss_centerness: 0.6503, loss: 8.3303 2022-09-29 06:31:18,824 - mmdet - INFO - Epoch [11][1850/7390] lr: 1.000e-03, eta: 0:50:04, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9771, loss_bbox: 0.7219, loss_centerness: 0.6502, loss: 8.3492 2022-09-29 06:31:30,462 - mmdet - INFO - Epoch [11][1900/7390] lr: 1.000e-03, eta: 0:49:53, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9749, loss_bbox: 0.7250, loss_centerness: 0.6499, loss: 8.3498 2022-09-29 06:31:42,066 - mmdet - INFO - Epoch [11][1950/7390] lr: 1.000e-03, eta: 0:49:41, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9662, loss_bbox: 0.7188, loss_centerness: 0.6501, loss: 8.3351 2022-09-29 06:31:53,608 - mmdet - INFO - Epoch [11][2000/7390] lr: 1.000e-03, eta: 0:49:29, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9668, loss_bbox: 0.7216, loss_centerness: 0.6507, loss: 8.3392 2022-09-29 06:32:05,222 - mmdet - INFO - Epoch [11][2050/7390] lr: 1.000e-03, eta: 0:49:18, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9772, loss_bbox: 0.7192, loss_centerness: 0.6498, loss: 8.3463 2022-09-29 06:32:16,856 - mmdet - INFO - Exp name: fcos.py 2022-09-29 06:32:16,856 - mmdet - INFO - Epoch [11][2100/7390] lr: 1.000e-03, eta: 0:49:06, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9728, loss_bbox: 0.7216, loss_centerness: 0.6502, loss: 8.3445 2022-09-29 06:32:28,473 - mmdet - INFO - Epoch [11][2150/7390] lr: 1.000e-03, eta: 0:48:55, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9737, loss_bbox: 0.7222, loss_centerness: 0.6505, loss: 8.3464 2022-09-29 06:32:40,107 - mmdet - INFO - Epoch [11][2200/7390] lr: 1.000e-03, eta: 0:48:43, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9660, loss_bbox: 0.7218, loss_centerness: 0.6505, loss: 8.3383 2022-09-29 06:32:51,599 - mmdet - INFO - Epoch [11][2250/7390] lr: 1.000e-03, eta: 0:48:31, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9792, loss_bbox: 0.7215, loss_centerness: 0.6506, loss: 8.3513 2022-09-29 06:33:03,239 - mmdet - INFO - Epoch [11][2300/7390] lr: 1.000e-03, eta: 0:48:20, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9729, loss_bbox: 0.7224, loss_centerness: 0.6497, loss: 8.3450 2022-09-29 06:33:14,899 - mmdet - INFO - Epoch [11][2350/7390] lr: 1.000e-03, eta: 0:48:08, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9733, loss_bbox: 0.7205, loss_centerness: 0.6505, loss: 8.3443 2022-09-29 06:33:26,429 - mmdet - INFO - Epoch [11][2400/7390] lr: 1.000e-03, eta: 0:47:56, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9703, loss_bbox: 0.7217, loss_centerness: 0.6500, loss: 8.3421 2022-09-29 06:33:37,958 - mmdet - INFO - Epoch [11][2450/7390] lr: 1.000e-03, eta: 0:47:45, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9719, loss_bbox: 0.7203, loss_centerness: 0.6500, loss: 8.3422 2022-09-29 06:33:49,528 - mmdet - INFO - Epoch [11][2500/7390] lr: 1.000e-03, eta: 0:47:33, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9672, loss_bbox: 0.7212, loss_centerness: 0.6508, loss: 8.3392 2022-09-29 06:34:00,929 - mmdet - INFO - Epoch [11][2550/7390] lr: 1.000e-03, eta: 0:47:22, time: 0.228, data_time: 0.009, memory: 22925, loss_cls: 6.9738, loss_bbox: 0.7207, loss_centerness: 0.6498, loss: 8.3443 2022-09-29 06:34:12,587 - mmdet - INFO - Epoch [11][2600/7390] lr: 1.000e-03, eta: 0:47:10, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9756, loss_bbox: 0.7201, loss_centerness: 0.6500, loss: 8.3457 2022-09-29 06:34:24,212 - mmdet - INFO - Epoch [11][2650/7390] lr: 1.000e-03, eta: 0:46:58, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9740, loss_bbox: 0.7210, loss_centerness: 0.6499, loss: 8.3449 2022-09-29 06:34:35,855 - mmdet - INFO - Epoch [11][2700/7390] lr: 1.000e-03, eta: 0:46:47, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9722, loss_bbox: 0.7196, loss_centerness: 0.6503, loss: 8.3421 2022-09-29 06:34:47,436 - mmdet - INFO - Epoch [11][2750/7390] lr: 1.000e-03, eta: 0:46:35, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9745, loss_bbox: 0.7206, loss_centerness: 0.6501, loss: 8.3451 2022-09-29 06:34:59,005 - mmdet - INFO - Epoch [11][2800/7390] lr: 1.000e-03, eta: 0:46:23, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9712, loss_bbox: 0.7223, loss_centerness: 0.6505, loss: 8.3440 2022-09-29 06:35:10,540 - mmdet - INFO - Epoch [11][2850/7390] lr: 1.000e-03, eta: 0:46:12, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9520, loss_bbox: 0.7230, loss_centerness: 0.6485, loss: 8.3235 2022-09-29 06:35:21,988 - mmdet - INFO - Epoch [11][2900/7390] lr: 1.000e-03, eta: 0:46:00, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9788, loss_bbox: 0.7192, loss_centerness: 0.6504, loss: 8.3485 2022-09-29 06:35:33,500 - mmdet - INFO - Epoch [11][2950/7390] lr: 1.000e-03, eta: 0:45:49, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9706, loss_bbox: 0.7238, loss_centerness: 0.6505, loss: 8.3449 2022-09-29 06:35:45,191 - mmdet - INFO - Epoch [11][3000/7390] lr: 1.000e-03, eta: 0:45:37, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9736, loss_bbox: 0.7226, loss_centerness: 0.6505, loss: 8.3466 2022-09-29 06:35:56,668 - mmdet - INFO - Epoch [11][3050/7390] lr: 1.000e-03, eta: 0:45:25, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9700, loss_bbox: 0.7205, loss_centerness: 0.6498, loss: 8.3403 2022-09-29 06:36:11,135 - mmdet - INFO - Exp name: fcos.py 2022-09-29 06:36:11,136 - mmdet - INFO - Epoch [11][3100/7390] lr: 1.000e-03, eta: 0:45:14, time: 0.290, data_time: 0.009, memory: 22925, loss_cls: 6.9797, loss_bbox: 0.7192, loss_centerness: 0.6502, loss: 8.3491 2022-09-29 06:36:22,744 - mmdet - INFO - Epoch [11][3150/7390] lr: 1.000e-03, eta: 0:45:02, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9756, loss_bbox: 0.7235, loss_centerness: 0.6504, loss: 8.3496 2022-09-29 06:36:34,343 - mmdet - INFO - Epoch [11][3200/7390] lr: 1.000e-03, eta: 0:44:51, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9753, loss_bbox: 0.7195, loss_centerness: 0.6500, loss: 8.3449 2022-09-29 06:36:48,337 - mmdet - INFO - Epoch [11][3250/7390] lr: 1.000e-03, eta: 0:44:40, time: 0.280, data_time: 0.009, memory: 22925, loss_cls: 6.9783, loss_bbox: 0.7241, loss_centerness: 0.6504, loss: 8.3529 2022-09-29 06:36:59,797 - mmdet - INFO - Epoch [11][3300/7390] lr: 1.000e-03, eta: 0:44:28, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9703, loss_bbox: 0.7238, loss_centerness: 0.6500, loss: 8.3441 2022-09-29 06:37:11,399 - mmdet - INFO - Epoch [11][3350/7390] lr: 1.000e-03, eta: 0:44:16, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9704, loss_bbox: 0.7195, loss_centerness: 0.6503, loss: 8.3402 2022-09-29 06:37:23,064 - mmdet - INFO - Epoch [11][3400/7390] lr: 1.000e-03, eta: 0:44:05, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9633, loss_bbox: 0.7242, loss_centerness: 0.6501, loss: 8.3376 2022-09-29 06:37:34,718 - mmdet - INFO - Epoch [11][3450/7390] lr: 1.000e-03, eta: 0:43:53, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9783, loss_bbox: 0.7212, loss_centerness: 0.6500, loss: 8.3495 2022-09-29 06:37:46,356 - mmdet - INFO - Epoch [11][3500/7390] lr: 1.000e-03, eta: 0:43:41, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9657, loss_bbox: 0.7230, loss_centerness: 0.6498, loss: 8.3385 2022-09-29 06:37:58,140 - mmdet - INFO - Epoch [11][3550/7390] lr: 1.000e-03, eta: 0:43:30, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9697, loss_bbox: 0.7222, loss_centerness: 0.6497, loss: 8.3416 2022-09-29 06:38:09,600 - mmdet - INFO - Epoch [11][3600/7390] lr: 1.000e-03, eta: 0:43:18, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9698, loss_bbox: 0.7219, loss_centerness: 0.6501, loss: 8.3418 2022-09-29 06:38:21,200 - mmdet - INFO - Epoch [11][3650/7390] lr: 1.000e-03, eta: 0:43:07, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9714, loss_bbox: 0.7230, loss_centerness: 0.6501, loss: 8.3445 2022-09-29 06:38:32,838 - mmdet - INFO - Epoch [11][3700/7390] lr: 1.000e-03, eta: 0:42:55, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9796, loss_bbox: 0.7227, loss_centerness: 0.6494, loss: 8.3517 2022-09-29 06:38:44,466 - mmdet - INFO - Epoch [11][3750/7390] lr: 1.000e-03, eta: 0:42:43, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9768, loss_bbox: 0.7195, loss_centerness: 0.6508, loss: 8.3470 2022-09-29 06:38:56,177 - mmdet - INFO - Epoch [11][3800/7390] lr: 1.000e-03, eta: 0:42:32, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9713, loss_bbox: 0.7217, loss_centerness: 0.6500, loss: 8.3431 2022-09-29 06:39:07,827 - mmdet - INFO - Epoch [11][3850/7390] lr: 1.000e-03, eta: 0:42:20, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9756, loss_bbox: 0.7196, loss_centerness: 0.6501, loss: 8.3453 2022-09-29 06:39:19,521 - mmdet - INFO - Epoch [11][3900/7390] lr: 1.000e-03, eta: 0:42:08, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9641, loss_bbox: 0.7198, loss_centerness: 0.6505, loss: 8.3344 2022-09-29 06:39:31,318 - mmdet - INFO - Epoch [11][3950/7390] lr: 1.000e-03, eta: 0:41:57, time: 0.236, data_time: 0.008, memory: 22925, loss_cls: 6.9709, loss_bbox: 0.7192, loss_centerness: 0.6498, loss: 8.3399 2022-09-29 06:39:45,661 - mmdet - INFO - Epoch [11][4000/7390] lr: 1.000e-03, eta: 0:41:46, time: 0.287, data_time: 0.009, memory: 22925, loss_cls: 6.9743, loss_bbox: 0.7235, loss_centerness: 0.6499, loss: 8.3477 2022-09-29 06:39:59,605 - mmdet - INFO - Epoch [11][4050/7390] lr: 1.000e-03, eta: 0:41:34, time: 0.279, data_time: 0.009, memory: 22925, loss_cls: 6.9755, loss_bbox: 0.7217, loss_centerness: 0.6500, loss: 8.3471 2022-09-29 06:40:11,181 - mmdet - INFO - Exp name: fcos.py 2022-09-29 06:40:11,181 - mmdet - INFO - Epoch [11][4100/7390] lr: 1.000e-03, eta: 0:41:23, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9804, loss_bbox: 0.7245, loss_centerness: 0.6502, loss: 8.3551 2022-09-29 06:40:25,135 - mmdet - INFO - Epoch [11][4150/7390] lr: 1.000e-03, eta: 0:41:11, time: 0.279, data_time: 0.008, memory: 22925, loss_cls: 6.9665, loss_bbox: 0.7233, loss_centerness: 0.6500, loss: 8.3398 2022-09-29 06:40:36,721 - mmdet - INFO - Epoch [11][4200/7390] lr: 1.000e-03, eta: 0:41:00, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9789, loss_bbox: 0.7229, loss_centerness: 0.6505, loss: 8.3523 2022-09-29 06:40:48,293 - mmdet - INFO - Epoch [11][4250/7390] lr: 1.000e-03, eta: 0:40:48, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9707, loss_bbox: 0.7230, loss_centerness: 0.6502, loss: 8.3439 2022-09-29 06:40:59,943 - mmdet - INFO - Epoch [11][4300/7390] lr: 1.000e-03, eta: 0:40:37, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9686, loss_bbox: 0.7212, loss_centerness: 0.6503, loss: 8.3402 2022-09-29 06:41:11,736 - mmdet - INFO - Epoch [11][4350/7390] lr: 1.000e-03, eta: 0:40:25, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9659, loss_bbox: 0.7237, loss_centerness: 0.6502, loss: 8.3398 2022-09-29 06:41:23,438 - mmdet - INFO - Epoch [11][4400/7390] lr: 1.000e-03, eta: 0:40:13, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9683, loss_bbox: 0.7236, loss_centerness: 0.6501, loss: 8.3421 2022-09-29 06:41:34,920 - mmdet - INFO - Epoch [11][4450/7390] lr: 1.000e-03, eta: 0:40:02, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9787, loss_bbox: 0.7235, loss_centerness: 0.6502, loss: 8.3525 2022-09-29 06:41:49,277 - mmdet - INFO - Epoch [11][4500/7390] lr: 1.000e-03, eta: 0:39:50, time: 0.287, data_time: 0.009, memory: 22925, loss_cls: 6.9815, loss_bbox: 0.7198, loss_centerness: 0.6502, loss: 8.3515 2022-09-29 06:42:00,816 - mmdet - INFO - Epoch [11][4550/7390] lr: 1.000e-03, eta: 0:39:39, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9730, loss_bbox: 0.7202, loss_centerness: 0.6500, loss: 8.3433 2022-09-29 06:42:12,481 - mmdet - INFO - Epoch [11][4600/7390] lr: 1.000e-03, eta: 0:39:27, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9742, loss_bbox: 0.7223, loss_centerness: 0.6500, loss: 8.3465 2022-09-29 06:42:24,054 - mmdet - INFO - Epoch [11][4650/7390] lr: 1.000e-03, eta: 0:39:15, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9660, loss_bbox: 0.7187, loss_centerness: 0.6503, loss: 8.3349 2022-09-29 06:42:35,546 - mmdet - INFO - Epoch [11][4700/7390] lr: 1.000e-03, eta: 0:39:04, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9735, loss_bbox: 0.7205, loss_centerness: 0.6500, loss: 8.3440 2022-09-29 06:42:47,319 - mmdet - INFO - Epoch [11][4750/7390] lr: 1.000e-03, eta: 0:38:52, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9738, loss_bbox: 0.7163, loss_centerness: 0.6501, loss: 8.3402 2022-09-29 06:42:59,072 - mmdet - INFO - Epoch [11][4800/7390] lr: 1.000e-03, eta: 0:38:41, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9754, loss_bbox: 0.7220, loss_centerness: 0.6500, loss: 8.3474 2022-09-29 06:43:11,069 - mmdet - INFO - Epoch [11][4850/7390] lr: 1.000e-03, eta: 0:38:29, time: 0.240, data_time: 0.009, memory: 22925, loss_cls: 6.9548, loss_bbox: 0.7218, loss_centerness: 0.6482, loss: 8.3248 2022-09-29 06:43:22,690 - mmdet - INFO - Epoch [11][4900/7390] lr: 1.000e-03, eta: 0:38:17, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9714, loss_bbox: 0.7211, loss_centerness: 0.6503, loss: 8.3428 2022-09-29 06:43:34,247 - mmdet - INFO - Epoch [11][4950/7390] lr: 1.000e-03, eta: 0:38:06, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9696, loss_bbox: 0.7203, loss_centerness: 0.6501, loss: 8.3399 2022-09-29 06:43:48,378 - mmdet - INFO - Epoch [11][5000/7390] lr: 1.000e-03, eta: 0:37:54, time: 0.282, data_time: 0.009, memory: 22925, loss_cls: 6.9737, loss_bbox: 0.7191, loss_centerness: 0.6499, loss: 8.3426 2022-09-29 06:43:59,975 - mmdet - INFO - Epoch [11][5050/7390] lr: 1.000e-03, eta: 0:37:43, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9713, loss_bbox: 0.7238, loss_centerness: 0.6510, loss: 8.3461 2022-09-29 06:44:11,426 - mmdet - INFO - Exp name: fcos.py 2022-09-29 06:44:11,427 - mmdet - INFO - Epoch [11][5100/7390] lr: 1.000e-03, eta: 0:37:31, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9702, loss_bbox: 0.7196, loss_centerness: 0.6496, loss: 8.3395 2022-09-29 06:44:22,996 - mmdet - INFO - Epoch [11][5150/7390] lr: 1.000e-03, eta: 0:37:20, time: 0.231, data_time: 0.008, memory: 22925, loss_cls: 6.9773, loss_bbox: 0.7209, loss_centerness: 0.6505, loss: 8.3487 2022-09-29 06:44:34,616 - mmdet - INFO - Epoch [11][5200/7390] lr: 1.000e-03, eta: 0:37:08, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9697, loss_bbox: 0.7209, loss_centerness: 0.6504, loss: 8.3410 2022-09-29 06:44:46,217 - mmdet - INFO - Epoch [11][5250/7390] lr: 1.000e-03, eta: 0:36:56, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9717, loss_bbox: 0.7216, loss_centerness: 0.6502, loss: 8.3436 2022-09-29 06:44:57,949 - mmdet - INFO - Epoch [11][5300/7390] lr: 1.000e-03, eta: 0:36:45, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9732, loss_bbox: 0.7232, loss_centerness: 0.6499, loss: 8.3463 2022-09-29 06:45:09,609 - mmdet - INFO - Epoch [11][5350/7390] lr: 1.000e-03, eta: 0:36:33, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9688, loss_bbox: 0.7212, loss_centerness: 0.6504, loss: 8.3405 2022-09-29 06:45:21,237 - mmdet - INFO - Epoch [11][5400/7390] lr: 1.000e-03, eta: 0:36:21, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9731, loss_bbox: 0.7209, loss_centerness: 0.6504, loss: 8.3444 2022-09-29 06:45:32,778 - mmdet - INFO - Epoch [11][5450/7390] lr: 1.000e-03, eta: 0:36:10, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9707, loss_bbox: 0.7202, loss_centerness: 0.6506, loss: 8.3415 2022-09-29 06:45:44,274 - mmdet - INFO - Epoch [11][5500/7390] lr: 1.000e-03, eta: 0:35:58, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9711, loss_bbox: 0.7233, loss_centerness: 0.6501, loss: 8.3445 2022-09-29 06:45:55,928 - mmdet - INFO - Epoch [11][5550/7390] lr: 1.000e-03, eta: 0:35:46, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9677, loss_bbox: 0.7212, loss_centerness: 0.6503, loss: 8.3392 2022-09-29 06:46:07,677 - mmdet - INFO - Epoch [11][5600/7390] lr: 1.000e-03, eta: 0:35:35, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9786, loss_bbox: 0.7200, loss_centerness: 0.6503, loss: 8.3489 2022-09-29 06:46:19,282 - mmdet - INFO - Epoch [11][5650/7390] lr: 1.000e-03, eta: 0:35:23, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9680, loss_bbox: 0.7199, loss_centerness: 0.6505, loss: 8.3385 2022-09-29 06:46:30,862 - mmdet - INFO - Epoch [11][5700/7390] lr: 1.000e-03, eta: 0:35:12, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9767, loss_bbox: 0.7222, loss_centerness: 0.6504, loss: 8.3493 2022-09-29 06:46:42,804 - mmdet - INFO - Epoch [11][5750/7390] lr: 1.000e-03, eta: 0:35:00, time: 0.239, data_time: 0.009, memory: 22925, loss_cls: 6.9790, loss_bbox: 0.7193, loss_centerness: 0.6500, loss: 8.3484 2022-09-29 06:46:54,667 - mmdet - INFO - Epoch [11][5800/7390] lr: 1.000e-03, eta: 0:34:48, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9728, loss_bbox: 0.7209, loss_centerness: 0.6501, loss: 8.3438 2022-09-29 06:47:06,339 - mmdet - INFO - Epoch [11][5850/7390] lr: 1.000e-03, eta: 0:34:37, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9844, loss_bbox: 0.7184, loss_centerness: 0.6507, loss: 8.3535 2022-09-29 06:47:18,113 - mmdet - INFO - Epoch [11][5900/7390] lr: 1.000e-03, eta: 0:34:25, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9767, loss_bbox: 0.7206, loss_centerness: 0.6503, loss: 8.3476 2022-09-29 06:47:29,828 - mmdet - INFO - Epoch [11][5950/7390] lr: 1.000e-03, eta: 0:34:14, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9674, loss_bbox: 0.7205, loss_centerness: 0.6497, loss: 8.3376 2022-09-29 06:47:41,459 - mmdet - INFO - Epoch [11][6000/7390] lr: 1.000e-03, eta: 0:34:02, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9759, loss_bbox: 0.7201, loss_centerness: 0.6503, loss: 8.3463 2022-09-29 06:47:53,066 - mmdet - INFO - Epoch [11][6050/7390] lr: 1.000e-03, eta: 0:33:50, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9679, loss_bbox: 0.7202, loss_centerness: 0.6499, loss: 8.3380 2022-09-29 06:48:04,745 - mmdet - INFO - Exp name: fcos.py 2022-09-29 06:48:04,745 - mmdet - INFO - Epoch [11][6100/7390] lr: 1.000e-03, eta: 0:33:39, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9734, loss_bbox: 0.7230, loss_centerness: 0.6502, loss: 8.3466 2022-09-29 06:48:16,513 - mmdet - INFO - Epoch [11][6150/7390] lr: 1.000e-03, eta: 0:33:27, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9755, loss_bbox: 0.7216, loss_centerness: 0.6499, loss: 8.3471 2022-09-29 06:48:28,269 - mmdet - INFO - Epoch [11][6200/7390] lr: 1.000e-03, eta: 0:33:15, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9753, loss_bbox: 0.7210, loss_centerness: 0.6499, loss: 8.3462 2022-09-29 06:48:39,988 - mmdet - INFO - Epoch [11][6250/7390] lr: 1.000e-03, eta: 0:33:04, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9681, loss_bbox: 0.7218, loss_centerness: 0.6500, loss: 8.3399 2022-09-29 06:48:51,638 - mmdet - INFO - Epoch [11][6300/7390] lr: 1.000e-03, eta: 0:32:52, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9773, loss_bbox: 0.7227, loss_centerness: 0.6504, loss: 8.3504 2022-09-29 06:49:03,658 - mmdet - INFO - Epoch [11][6350/7390] lr: 1.000e-03, eta: 0:32:41, time: 0.241, data_time: 0.010, memory: 22925, loss_cls: 6.9457, loss_bbox: 0.7220, loss_centerness: 0.6487, loss: 8.3164 2022-09-29 06:49:15,488 - mmdet - INFO - Epoch [11][6400/7390] lr: 1.000e-03, eta: 0:32:29, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9762, loss_bbox: 0.7212, loss_centerness: 0.6496, loss: 8.3469 2022-09-29 06:49:27,263 - mmdet - INFO - Epoch [11][6450/7390] lr: 1.000e-03, eta: 0:32:17, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9695, loss_bbox: 0.7213, loss_centerness: 0.6501, loss: 8.3409 2022-09-29 06:49:39,074 - mmdet - INFO - Epoch [11][6500/7390] lr: 1.000e-03, eta: 0:32:06, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9744, loss_bbox: 0.7180, loss_centerness: 0.6505, loss: 8.3429 2022-09-29 06:49:51,077 - mmdet - INFO - Epoch [11][6550/7390] lr: 1.000e-03, eta: 0:31:54, time: 0.240, data_time: 0.009, memory: 22925, loss_cls: 6.9682, loss_bbox: 0.7205, loss_centerness: 0.6505, loss: 8.3392 2022-09-29 06:50:02,659 - mmdet - INFO - Epoch [11][6600/7390] lr: 1.000e-03, eta: 0:31:42, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9735, loss_bbox: 0.7210, loss_centerness: 0.6505, loss: 8.3449 2022-09-29 06:50:14,620 - mmdet - INFO - Epoch [11][6650/7390] lr: 1.000e-03, eta: 0:31:31, time: 0.240, data_time: 0.009, memory: 22925, loss_cls: 6.9735, loss_bbox: 0.7228, loss_centerness: 0.6508, loss: 8.3471 2022-09-29 06:50:26,121 - mmdet - INFO - Epoch [11][6700/7390] lr: 1.000e-03, eta: 0:31:19, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9674, loss_bbox: 0.7241, loss_centerness: 0.6501, loss: 8.3416 2022-09-29 06:50:37,861 - mmdet - INFO - Epoch [11][6750/7390] lr: 1.000e-03, eta: 0:31:08, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9692, loss_bbox: 0.7226, loss_centerness: 0.6501, loss: 8.3419 2022-09-29 06:50:49,496 - mmdet - INFO - Epoch [11][6800/7390] lr: 1.000e-03, eta: 0:30:56, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9491, loss_bbox: 0.7213, loss_centerness: 0.6482, loss: 8.3185 2022-09-29 06:51:00,988 - mmdet - INFO - Epoch [11][6850/7390] lr: 1.000e-03, eta: 0:30:44, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9754, loss_bbox: 0.7201, loss_centerness: 0.6503, loss: 8.3458 2022-09-29 06:51:12,591 - mmdet - INFO - Epoch [11][6900/7390] lr: 1.000e-03, eta: 0:30:33, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9574, loss_bbox: 0.7199, loss_centerness: 0.6492, loss: 8.3264 2022-09-29 06:51:24,425 - mmdet - INFO - Epoch [11][6950/7390] lr: 1.000e-03, eta: 0:30:21, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9728, loss_bbox: 0.7190, loss_centerness: 0.6498, loss: 8.3417 2022-09-29 06:51:36,049 - mmdet - INFO - Epoch [11][7000/7390] lr: 1.000e-03, eta: 0:30:09, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9676, loss_bbox: 0.7222, loss_centerness: 0.6506, loss: 8.3404 2022-09-29 06:51:47,847 - mmdet - INFO - Epoch [11][7050/7390] lr: 1.000e-03, eta: 0:29:58, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9701, loss_bbox: 0.7200, loss_centerness: 0.6502, loss: 8.3402 2022-09-29 06:51:59,592 - mmdet - INFO - Exp name: fcos.py 2022-09-29 06:51:59,593 - mmdet - INFO - Epoch [11][7100/7390] lr: 1.000e-03, eta: 0:29:46, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9776, loss_bbox: 0.7191, loss_centerness: 0.6500, loss: 8.3466 2022-09-29 06:52:11,270 - mmdet - INFO - Epoch [11][7150/7390] lr: 1.000e-03, eta: 0:29:35, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9687, loss_bbox: 0.7210, loss_centerness: 0.6506, loss: 8.3404 2022-09-29 06:52:22,992 - mmdet - INFO - Epoch [11][7200/7390] lr: 1.000e-03, eta: 0:29:23, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9728, loss_bbox: 0.7216, loss_centerness: 0.6504, loss: 8.3448 2022-09-29 06:52:34,683 - mmdet - INFO - Epoch [11][7250/7390] lr: 1.000e-03, eta: 0:29:11, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9749, loss_bbox: 0.7216, loss_centerness: 0.6504, loss: 8.3470 2022-09-29 06:52:46,260 - mmdet - INFO - Epoch [11][7300/7390] lr: 1.000e-03, eta: 0:29:00, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9720, loss_bbox: 0.7219, loss_centerness: 0.6500, loss: 8.3439 2022-09-29 06:52:57,873 - mmdet - INFO - Epoch [11][7350/7390] lr: 1.000e-03, eta: 0:28:48, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9719, loss_bbox: 0.7249, loss_centerness: 0.6503, loss: 8.3471 2022-09-29 06:53:07,411 - mmdet - INFO - Saving checkpoint at 11 epochs 2022-09-29 06:53:23,046 - mmdet - INFO - Epoch [12][50/7390] lr: 1.000e-04, eta: 0:28:27, time: 0.294, data_time: 0.070, memory: 22925, loss_cls: 6.9651, loss_bbox: 0.7204, loss_centerness: 0.6496, loss: 8.3351 2022-09-29 06:53:34,752 - mmdet - INFO - Epoch [12][100/7390] lr: 1.000e-04, eta: 0:28:15, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9707, loss_bbox: 0.7200, loss_centerness: 0.6504, loss: 8.3411 2022-09-29 06:53:46,562 - mmdet - INFO - Epoch [12][150/7390] lr: 1.000e-04, eta: 0:28:03, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9735, loss_bbox: 0.7233, loss_centerness: 0.6503, loss: 8.3471 2022-09-29 06:53:58,181 - mmdet - INFO - Epoch [12][200/7390] lr: 1.000e-04, eta: 0:27:52, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9763, loss_bbox: 0.7188, loss_centerness: 0.6498, loss: 8.3449 2022-09-29 06:54:09,775 - mmdet - INFO - Epoch [12][250/7390] lr: 1.000e-04, eta: 0:27:40, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9695, loss_bbox: 0.7203, loss_centerness: 0.6504, loss: 8.3403 2022-09-29 06:54:21,391 - mmdet - INFO - Epoch [12][300/7390] lr: 1.000e-04, eta: 0:27:28, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9465, loss_bbox: 0.7230, loss_centerness: 0.6486, loss: 8.3182 2022-09-29 06:54:33,120 - mmdet - INFO - Epoch [12][350/7390] lr: 1.000e-04, eta: 0:27:17, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9733, loss_bbox: 0.7233, loss_centerness: 0.6497, loss: 8.3463 2022-09-29 06:54:44,768 - mmdet - INFO - Epoch [12][400/7390] lr: 1.000e-04, eta: 0:27:05, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9751, loss_bbox: 0.7173, loss_centerness: 0.6503, loss: 8.3427 2022-09-29 06:54:56,403 - mmdet - INFO - Epoch [12][450/7390] lr: 1.000e-04, eta: 0:26:54, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9698, loss_bbox: 0.7213, loss_centerness: 0.6498, loss: 8.3409 2022-09-29 06:55:08,020 - mmdet - INFO - Epoch [12][500/7390] lr: 1.000e-04, eta: 0:26:42, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9711, loss_bbox: 0.7205, loss_centerness: 0.6500, loss: 8.3417 2022-09-29 06:55:19,605 - mmdet - INFO - Epoch [12][550/7390] lr: 1.000e-04, eta: 0:26:30, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9729, loss_bbox: 0.7212, loss_centerness: 0.6497, loss: 8.3438 2022-09-29 06:55:31,093 - mmdet - INFO - Epoch [12][600/7390] lr: 1.000e-04, eta: 0:26:19, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9642, loss_bbox: 0.7172, loss_centerness: 0.6499, loss: 8.3313 2022-09-29 06:55:42,731 - mmdet - INFO - Epoch [12][650/7390] lr: 1.000e-04, eta: 0:26:07, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9821, loss_bbox: 0.7208, loss_centerness: 0.6499, loss: 8.3528 2022-09-29 06:55:54,322 - mmdet - INFO - Epoch [12][700/7390] lr: 1.000e-04, eta: 0:25:55, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9696, loss_bbox: 0.7201, loss_centerness: 0.6506, loss: 8.3403 2022-09-29 06:56:05,874 - mmdet - INFO - Epoch [12][750/7390] lr: 1.000e-04, eta: 0:25:44, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9700, loss_bbox: 0.7209, loss_centerness: 0.6508, loss: 8.3418 2022-09-29 06:56:17,348 - mmdet - INFO - Epoch [12][800/7390] lr: 1.000e-04, eta: 0:25:32, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9748, loss_bbox: 0.7211, loss_centerness: 0.6501, loss: 8.3461 2022-09-29 06:56:28,823 - mmdet - INFO - Epoch [12][850/7390] lr: 1.000e-04, eta: 0:25:20, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9698, loss_bbox: 0.7201, loss_centerness: 0.6503, loss: 8.3402 2022-09-29 06:56:40,363 - mmdet - INFO - Epoch [12][900/7390] lr: 1.000e-04, eta: 0:25:09, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9763, loss_bbox: 0.7184, loss_centerness: 0.6501, loss: 8.3449 2022-09-29 06:56:52,009 - mmdet - INFO - Epoch [12][950/7390] lr: 1.000e-04, eta: 0:24:57, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9796, loss_bbox: 0.7186, loss_centerness: 0.6506, loss: 8.3488 2022-09-29 06:57:03,609 - mmdet - INFO - Epoch [12][1000/7390] lr: 1.000e-04, eta: 0:24:46, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9692, loss_bbox: 0.7197, loss_centerness: 0.6501, loss: 8.3390 2022-09-29 06:57:15,156 - mmdet - INFO - Epoch [12][1050/7390] lr: 1.000e-04, eta: 0:24:34, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9688, loss_bbox: 0.7222, loss_centerness: 0.6496, loss: 8.3406 2022-09-29 06:57:26,897 - mmdet - INFO - Epoch [12][1100/7390] lr: 1.000e-04, eta: 0:24:22, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9697, loss_bbox: 0.7203, loss_centerness: 0.6502, loss: 8.3401 2022-09-29 06:57:38,664 - mmdet - INFO - Epoch [12][1150/7390] lr: 1.000e-04, eta: 0:24:11, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9663, loss_bbox: 0.7219, loss_centerness: 0.6488, loss: 8.3371 2022-09-29 06:57:50,429 - mmdet - INFO - Epoch [12][1200/7390] lr: 1.000e-04, eta: 0:23:59, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9740, loss_bbox: 0.7229, loss_centerness: 0.6501, loss: 8.3470 2022-09-29 06:58:02,303 - mmdet - INFO - Epoch [12][1250/7390] lr: 1.000e-04, eta: 0:23:47, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9692, loss_bbox: 0.7170, loss_centerness: 0.6504, loss: 8.3366 2022-09-29 06:58:13,901 - mmdet - INFO - Epoch [12][1300/7390] lr: 1.000e-04, eta: 0:23:36, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9663, loss_bbox: 0.7211, loss_centerness: 0.6498, loss: 8.3372 2022-09-29 06:58:25,633 - mmdet - INFO - Epoch [12][1350/7390] lr: 1.000e-04, eta: 0:23:24, time: 0.235, data_time: 0.008, memory: 22925, loss_cls: 6.9649, loss_bbox: 0.7207, loss_centerness: 0.6498, loss: 8.3354 2022-09-29 06:58:37,392 - mmdet - INFO - Epoch [12][1400/7390] lr: 1.000e-04, eta: 0:23:13, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9690, loss_bbox: 0.7190, loss_centerness: 0.6500, loss: 8.3380 2022-09-29 06:58:48,931 - mmdet - INFO - Epoch [12][1450/7390] lr: 1.000e-04, eta: 0:23:01, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9594, loss_bbox: 0.7197, loss_centerness: 0.6485, loss: 8.3275 2022-09-29 06:59:00,507 - mmdet - INFO - Epoch [12][1500/7390] lr: 1.000e-04, eta: 0:22:49, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9671, loss_bbox: 0.7196, loss_centerness: 0.6506, loss: 8.3374 2022-09-29 06:59:12,142 - mmdet - INFO - Epoch [12][1550/7390] lr: 1.000e-04, eta: 0:22:38, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9701, loss_bbox: 0.7209, loss_centerness: 0.6504, loss: 8.3414 2022-09-29 06:59:23,869 - mmdet - INFO - Epoch [12][1600/7390] lr: 1.000e-04, eta: 0:22:26, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9684, loss_bbox: 0.7196, loss_centerness: 0.6502, loss: 8.3382 2022-09-29 06:59:35,659 - mmdet - INFO - Epoch [12][1650/7390] lr: 1.000e-04, eta: 0:22:14, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9725, loss_bbox: 0.7217, loss_centerness: 0.6496, loss: 8.3438 2022-09-29 06:59:47,261 - mmdet - INFO - Epoch [12][1700/7390] lr: 1.000e-04, eta: 0:22:03, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9625, loss_bbox: 0.7218, loss_centerness: 0.6500, loss: 8.3343 2022-09-29 06:59:58,960 - mmdet - INFO - Epoch [12][1750/7390] lr: 1.000e-04, eta: 0:21:51, time: 0.234, data_time: 0.010, memory: 22925, loss_cls: 6.9648, loss_bbox: 0.7201, loss_centerness: 0.6506, loss: 8.3355 2022-09-29 07:00:10,708 - mmdet - INFO - Epoch [12][1800/7390] lr: 1.000e-04, eta: 0:21:40, time: 0.235, data_time: 0.008, memory: 22925, loss_cls: 6.9673, loss_bbox: 0.7173, loss_centerness: 0.6498, loss: 8.3344 2022-09-29 07:00:22,327 - mmdet - INFO - Epoch [12][1850/7390] lr: 1.000e-04, eta: 0:21:28, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9719, loss_bbox: 0.7221, loss_centerness: 0.6502, loss: 8.3442 2022-09-29 07:00:33,899 - mmdet - INFO - Epoch [12][1900/7390] lr: 1.000e-04, eta: 0:21:16, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9579, loss_bbox: 0.7234, loss_centerness: 0.6486, loss: 8.3300 2022-09-29 07:00:45,559 - mmdet - INFO - Epoch [12][1950/7390] lr: 1.000e-04, eta: 0:21:05, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9713, loss_bbox: 0.7216, loss_centerness: 0.6504, loss: 8.3434 2022-09-29 07:00:57,228 - mmdet - INFO - Epoch [12][2000/7390] lr: 1.000e-04, eta: 0:20:53, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9687, loss_bbox: 0.7190, loss_centerness: 0.6506, loss: 8.3383 2022-09-29 07:01:08,783 - mmdet - INFO - Epoch [12][2050/7390] lr: 1.000e-04, eta: 0:20:41, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9665, loss_bbox: 0.7206, loss_centerness: 0.6500, loss: 8.3371 2022-09-29 07:01:20,350 - mmdet - INFO - Epoch [12][2100/7390] lr: 1.000e-04, eta: 0:20:30, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9650, loss_bbox: 0.7206, loss_centerness: 0.6501, loss: 8.3357 2022-09-29 07:01:32,092 - mmdet - INFO - Epoch [12][2150/7390] lr: 1.000e-04, eta: 0:20:18, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9638, loss_bbox: 0.7204, loss_centerness: 0.6497, loss: 8.3339 2022-09-29 07:01:43,941 - mmdet - INFO - Epoch [12][2200/7390] lr: 1.000e-04, eta: 0:20:07, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9733, loss_bbox: 0.7184, loss_centerness: 0.6504, loss: 8.3422 2022-09-29 07:01:55,597 - mmdet - INFO - Epoch [12][2250/7390] lr: 1.000e-04, eta: 0:19:55, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9723, loss_bbox: 0.7211, loss_centerness: 0.6506, loss: 8.3440 2022-09-29 07:02:07,218 - mmdet - INFO - Epoch [12][2300/7390] lr: 1.000e-04, eta: 0:19:43, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9687, loss_bbox: 0.7188, loss_centerness: 0.6505, loss: 8.3380 2022-09-29 07:02:18,752 - mmdet - INFO - Epoch [12][2350/7390] lr: 1.000e-04, eta: 0:19:32, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9682, loss_bbox: 0.7188, loss_centerness: 0.6500, loss: 8.3371 2022-09-29 07:02:30,314 - mmdet - INFO - Epoch [12][2400/7390] lr: 1.000e-04, eta: 0:19:20, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9668, loss_bbox: 0.7198, loss_centerness: 0.6501, loss: 8.3367 2022-09-29 07:02:41,998 - mmdet - INFO - Epoch [12][2450/7390] lr: 1.000e-04, eta: 0:19:08, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9773, loss_bbox: 0.7199, loss_centerness: 0.6497, loss: 8.3469 2022-09-29 07:02:53,565 - mmdet - INFO - Epoch [12][2500/7390] lr: 1.000e-04, eta: 0:18:57, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9592, loss_bbox: 0.7156, loss_centerness: 0.6497, loss: 8.3245 2022-09-29 07:03:05,073 - mmdet - INFO - Epoch [12][2550/7390] lr: 1.000e-04, eta: 0:18:45, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9729, loss_bbox: 0.7193, loss_centerness: 0.6499, loss: 8.3420 2022-09-29 07:03:16,667 - mmdet - INFO - Epoch [12][2600/7390] lr: 1.000e-04, eta: 0:18:34, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9715, loss_bbox: 0.7207, loss_centerness: 0.6500, loss: 8.3422 2022-09-29 07:03:28,184 - mmdet - INFO - Epoch [12][2650/7390] lr: 1.000e-04, eta: 0:18:22, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9702, loss_bbox: 0.7196, loss_centerness: 0.6503, loss: 8.3400 2022-09-29 07:03:39,852 - mmdet - INFO - Epoch [12][2700/7390] lr: 1.000e-04, eta: 0:18:10, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9710, loss_bbox: 0.7201, loss_centerness: 0.6504, loss: 8.3414 2022-09-29 07:03:51,647 - mmdet - INFO - Epoch [12][2750/7390] lr: 1.000e-04, eta: 0:17:59, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9698, loss_bbox: 0.7206, loss_centerness: 0.6509, loss: 8.3413 2022-09-29 07:04:03,533 - mmdet - INFO - Epoch [12][2800/7390] lr: 1.000e-04, eta: 0:17:47, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9609, loss_bbox: 0.7195, loss_centerness: 0.6499, loss: 8.3304 2022-09-29 07:04:15,233 - mmdet - INFO - Epoch [12][2850/7390] lr: 1.000e-04, eta: 0:17:35, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9666, loss_bbox: 0.7189, loss_centerness: 0.6495, loss: 8.3350 2022-09-29 07:04:26,965 - mmdet - INFO - Epoch [12][2900/7390] lr: 1.000e-04, eta: 0:17:24, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9702, loss_bbox: 0.7215, loss_centerness: 0.6503, loss: 8.3419 2022-09-29 07:04:38,697 - mmdet - INFO - Epoch [12][2950/7390] lr: 1.000e-04, eta: 0:17:12, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9536, loss_bbox: 0.7173, loss_centerness: 0.6481, loss: 8.3190 2022-09-29 07:04:50,193 - mmdet - INFO - Epoch [12][3000/7390] lr: 1.000e-04, eta: 0:17:01, time: 0.229, data_time: 0.008, memory: 22925, loss_cls: 6.9757, loss_bbox: 0.7204, loss_centerness: 0.6504, loss: 8.3464 2022-09-29 07:05:01,932 - mmdet - INFO - Epoch [12][3050/7390] lr: 1.000e-04, eta: 0:16:49, time: 0.235, data_time: 0.010, memory: 22925, loss_cls: 6.9689, loss_bbox: 0.7181, loss_centerness: 0.6495, loss: 8.3366 2022-09-29 07:05:13,515 - mmdet - INFO - Epoch [12][3100/7390] lr: 1.000e-04, eta: 0:16:37, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9689, loss_bbox: 0.7223, loss_centerness: 0.6502, loss: 8.3414 2022-09-29 07:05:25,066 - mmdet - INFO - Epoch [12][3150/7390] lr: 1.000e-04, eta: 0:16:26, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9716, loss_bbox: 0.7190, loss_centerness: 0.6502, loss: 8.3407 2022-09-29 07:05:36,720 - mmdet - INFO - Epoch [12][3200/7390] lr: 1.000e-04, eta: 0:16:14, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9760, loss_bbox: 0.7254, loss_centerness: 0.6504, loss: 8.3517 2022-09-29 07:05:48,339 - mmdet - INFO - Epoch [12][3250/7390] lr: 1.000e-04, eta: 0:16:02, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9608, loss_bbox: 0.7204, loss_centerness: 0.6501, loss: 8.3313 2022-09-29 07:06:00,015 - mmdet - INFO - Epoch [12][3300/7390] lr: 1.000e-04, eta: 0:15:51, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9699, loss_bbox: 0.7205, loss_centerness: 0.6499, loss: 8.3404 2022-09-29 07:06:11,677 - mmdet - INFO - Epoch [12][3350/7390] lr: 1.000e-04, eta: 0:15:39, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9697, loss_bbox: 0.7231, loss_centerness: 0.6506, loss: 8.3434 2022-09-29 07:06:23,373 - mmdet - INFO - Epoch [12][3400/7390] lr: 1.000e-04, eta: 0:15:28, time: 0.234, data_time: 0.008, memory: 22925, loss_cls: 6.9659, loss_bbox: 0.7202, loss_centerness: 0.6503, loss: 8.3364 2022-09-29 07:06:34,945 - mmdet - INFO - Epoch [12][3450/7390] lr: 1.000e-04, eta: 0:15:16, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9650, loss_bbox: 0.7206, loss_centerness: 0.6504, loss: 8.3359 2022-09-29 07:06:46,517 - mmdet - INFO - Epoch [12][3500/7390] lr: 1.000e-04, eta: 0:15:04, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9774, loss_bbox: 0.7194, loss_centerness: 0.6501, loss: 8.3468 2022-09-29 07:06:58,166 - mmdet - INFO - Epoch [12][3550/7390] lr: 1.000e-04, eta: 0:14:53, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9672, loss_bbox: 0.7194, loss_centerness: 0.6499, loss: 8.3365 2022-09-29 07:07:09,599 - mmdet - INFO - Epoch [12][3600/7390] lr: 1.000e-04, eta: 0:14:41, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9770, loss_bbox: 0.7186, loss_centerness: 0.6505, loss: 8.3462 2022-09-29 07:07:21,454 - mmdet - INFO - Epoch [12][3650/7390] lr: 1.000e-04, eta: 0:14:29, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9806, loss_bbox: 0.7196, loss_centerness: 0.6500, loss: 8.3502 2022-09-29 07:07:33,262 - mmdet - INFO - Epoch [12][3700/7390] lr: 1.000e-04, eta: 0:14:18, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9779, loss_bbox: 0.7212, loss_centerness: 0.6500, loss: 8.3492 2022-09-29 07:07:45,131 - mmdet - INFO - Epoch [12][3750/7390] lr: 1.000e-04, eta: 0:14:06, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9718, loss_bbox: 0.7236, loss_centerness: 0.6502, loss: 8.3456 2022-09-29 07:07:56,717 - mmdet - INFO - Epoch [12][3800/7390] lr: 1.000e-04, eta: 0:13:54, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9678, loss_bbox: 0.7211, loss_centerness: 0.6503, loss: 8.3392 2022-09-29 07:08:08,339 - mmdet - INFO - Epoch [12][3850/7390] lr: 1.000e-04, eta: 0:13:43, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9737, loss_bbox: 0.7198, loss_centerness: 0.6497, loss: 8.3433 2022-09-29 07:08:19,918 - mmdet - INFO - Epoch [12][3900/7390] lr: 1.000e-04, eta: 0:13:31, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9726, loss_bbox: 0.7185, loss_centerness: 0.6498, loss: 8.3408 2022-09-29 07:08:31,681 - mmdet - INFO - Epoch [12][3950/7390] lr: 1.000e-04, eta: 0:13:20, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9751, loss_bbox: 0.7195, loss_centerness: 0.6497, loss: 8.3444 2022-09-29 07:08:43,174 - mmdet - INFO - Epoch [12][4000/7390] lr: 1.000e-04, eta: 0:13:08, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9680, loss_bbox: 0.7174, loss_centerness: 0.6499, loss: 8.3353 2022-09-29 07:08:54,836 - mmdet - INFO - Epoch [12][4050/7390] lr: 1.000e-04, eta: 0:12:56, time: 0.233, data_time: 0.008, memory: 22925, loss_cls: 6.9773, loss_bbox: 0.7228, loss_centerness: 0.6502, loss: 8.3503 2022-09-29 07:09:06,390 - mmdet - INFO - Epoch [12][4100/7390] lr: 1.000e-04, eta: 0:12:45, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9773, loss_bbox: 0.7190, loss_centerness: 0.6503, loss: 8.3466 2022-09-29 07:09:17,999 - mmdet - INFO - Epoch [12][4150/7390] lr: 1.000e-04, eta: 0:12:33, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9713, loss_bbox: 0.7185, loss_centerness: 0.6502, loss: 8.3400 2022-09-29 07:09:29,543 - mmdet - INFO - Epoch [12][4200/7390] lr: 1.000e-04, eta: 0:12:21, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9687, loss_bbox: 0.7206, loss_centerness: 0.6501, loss: 8.3394 2022-09-29 07:09:41,201 - mmdet - INFO - Epoch [12][4250/7390] lr: 1.000e-04, eta: 0:12:10, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9630, loss_bbox: 0.7182, loss_centerness: 0.6499, loss: 8.3311 2022-09-29 07:09:52,957 - mmdet - INFO - Epoch [12][4300/7390] lr: 1.000e-04, eta: 0:11:58, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9602, loss_bbox: 0.7198, loss_centerness: 0.6502, loss: 8.3302 2022-09-29 07:10:04,567 - mmdet - INFO - Epoch [12][4350/7390] lr: 1.000e-04, eta: 0:11:47, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9681, loss_bbox: 0.7182, loss_centerness: 0.6500, loss: 8.3363 2022-09-29 07:10:16,169 - mmdet - INFO - Epoch [12][4400/7390] lr: 1.000e-04, eta: 0:11:35, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9657, loss_bbox: 0.7207, loss_centerness: 0.6500, loss: 8.3364 2022-09-29 07:10:27,792 - mmdet - INFO - Epoch [12][4450/7390] lr: 1.000e-04, eta: 0:11:23, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9720, loss_bbox: 0.7217, loss_centerness: 0.6502, loss: 8.3440 2022-09-29 07:10:39,441 - mmdet - INFO - Epoch [12][4500/7390] lr: 1.000e-04, eta: 0:11:12, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9630, loss_bbox: 0.7184, loss_centerness: 0.6498, loss: 8.3313 2022-09-29 07:10:50,899 - mmdet - INFO - Epoch [12][4550/7390] lr: 1.000e-04, eta: 0:11:00, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9795, loss_bbox: 0.7175, loss_centerness: 0.6499, loss: 8.3468 2022-09-29 07:11:02,468 - mmdet - INFO - Epoch [12][4600/7390] lr: 1.000e-04, eta: 0:10:48, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9754, loss_bbox: 0.7218, loss_centerness: 0.6505, loss: 8.3477 2022-09-29 07:11:14,066 - mmdet - INFO - Epoch [12][4650/7390] lr: 1.000e-04, eta: 0:10:37, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9739, loss_bbox: 0.7198, loss_centerness: 0.6494, loss: 8.3431 2022-09-29 07:11:25,699 - mmdet - INFO - Epoch [12][4700/7390] lr: 1.000e-04, eta: 0:10:25, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9652, loss_bbox: 0.7226, loss_centerness: 0.6501, loss: 8.3379 2022-09-29 07:11:37,351 - mmdet - INFO - Epoch [12][4750/7390] lr: 1.000e-04, eta: 0:10:14, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9643, loss_bbox: 0.7203, loss_centerness: 0.6506, loss: 8.3351 2022-09-29 07:11:48,999 - mmdet - INFO - Epoch [12][4800/7390] lr: 1.000e-04, eta: 0:10:02, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9681, loss_bbox: 0.7202, loss_centerness: 0.6505, loss: 8.3387 2022-09-29 07:12:00,518 - mmdet - INFO - Epoch [12][4850/7390] lr: 1.000e-04, eta: 0:09:50, time: 0.230, data_time: 0.008, memory: 22925, loss_cls: 6.9682, loss_bbox: 0.7212, loss_centerness: 0.6502, loss: 8.3395 2022-09-29 07:12:12,014 - mmdet - INFO - Epoch [12][4900/7390] lr: 1.000e-04, eta: 0:09:39, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9766, loss_bbox: 0.7206, loss_centerness: 0.6504, loss: 8.3476 2022-09-29 07:12:23,619 - mmdet - INFO - Epoch [12][4950/7390] lr: 1.000e-04, eta: 0:09:27, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9750, loss_bbox: 0.7191, loss_centerness: 0.6500, loss: 8.3440 2022-09-29 07:12:35,225 - mmdet - INFO - Epoch [12][5000/7390] lr: 1.000e-04, eta: 0:09:15, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9749, loss_bbox: 0.7195, loss_centerness: 0.6504, loss: 8.3448 2022-09-29 07:12:47,167 - mmdet - INFO - Epoch [12][5050/7390] lr: 1.000e-04, eta: 0:09:04, time: 0.239, data_time: 0.009, memory: 22925, loss_cls: 6.9690, loss_bbox: 0.7191, loss_centerness: 0.6505, loss: 8.3386 2022-09-29 07:12:58,820 - mmdet - INFO - Epoch [12][5100/7390] lr: 1.000e-04, eta: 0:08:52, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9770, loss_bbox: 0.7185, loss_centerness: 0.6505, loss: 8.3460 2022-09-29 07:13:10,532 - mmdet - INFO - Epoch [12][5150/7390] lr: 1.000e-04, eta: 0:08:40, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9699, loss_bbox: 0.7215, loss_centerness: 0.6501, loss: 8.3415 2022-09-29 07:13:22,278 - mmdet - INFO - Epoch [12][5200/7390] lr: 1.000e-04, eta: 0:08:29, time: 0.235, data_time: 0.010, memory: 22925, loss_cls: 6.9530, loss_bbox: 0.7225, loss_centerness: 0.6484, loss: 8.3239 2022-09-29 07:13:33,959 - mmdet - INFO - Epoch [12][5250/7390] lr: 1.000e-04, eta: 0:08:17, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9629, loss_bbox: 0.7197, loss_centerness: 0.6504, loss: 8.3331 2022-09-29 07:13:45,606 - mmdet - INFO - Epoch [12][5300/7390] lr: 1.000e-04, eta: 0:08:06, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9606, loss_bbox: 0.7195, loss_centerness: 0.6502, loss: 8.3304 2022-09-29 07:13:57,312 - mmdet - INFO - Epoch [12][5350/7390] lr: 1.000e-04, eta: 0:07:54, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9722, loss_bbox: 0.7207, loss_centerness: 0.6496, loss: 8.3425 2022-09-29 07:14:09,118 - mmdet - INFO - Epoch [12][5400/7390] lr: 1.000e-04, eta: 0:07:42, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9718, loss_bbox: 0.7211, loss_centerness: 0.6495, loss: 8.3425 2022-09-29 07:14:20,702 - mmdet - INFO - Epoch [12][5450/7390] lr: 1.000e-04, eta: 0:07:31, time: 0.232, data_time: 0.008, memory: 22925, loss_cls: 6.9747, loss_bbox: 0.7202, loss_centerness: 0.6504, loss: 8.3452 2022-09-29 07:14:32,228 - mmdet - INFO - Epoch [12][5500/7390] lr: 1.000e-04, eta: 0:07:19, time: 0.230, data_time: 0.008, memory: 22925, loss_cls: 6.9665, loss_bbox: 0.7213, loss_centerness: 0.6500, loss: 8.3378 2022-09-29 07:14:43,960 - mmdet - INFO - Epoch [12][5550/7390] lr: 1.000e-04, eta: 0:07:07, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9753, loss_bbox: 0.7212, loss_centerness: 0.6499, loss: 8.3464 2022-09-29 07:14:55,574 - mmdet - INFO - Epoch [12][5600/7390] lr: 1.000e-04, eta: 0:06:56, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9702, loss_bbox: 0.7179, loss_centerness: 0.6498, loss: 8.3379 2022-09-29 07:15:07,199 - mmdet - INFO - Epoch [12][5650/7390] lr: 1.000e-04, eta: 0:06:44, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9644, loss_bbox: 0.7203, loss_centerness: 0.6501, loss: 8.3348 2022-09-29 07:15:18,936 - mmdet - INFO - Epoch [12][5700/7390] lr: 1.000e-04, eta: 0:06:33, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9767, loss_bbox: 0.7211, loss_centerness: 0.6503, loss: 8.3480 2022-09-29 07:15:30,778 - mmdet - INFO - Epoch [12][5750/7390] lr: 1.000e-04, eta: 0:06:21, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9676, loss_bbox: 0.7222, loss_centerness: 0.6505, loss: 8.3403 2022-09-29 07:15:42,341 - mmdet - INFO - Epoch [12][5800/7390] lr: 1.000e-04, eta: 0:06:09, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9690, loss_bbox: 0.7212, loss_centerness: 0.6508, loss: 8.3410 2022-09-29 07:15:53,863 - mmdet - INFO - Epoch [12][5850/7390] lr: 1.000e-04, eta: 0:05:58, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9689, loss_bbox: 0.7229, loss_centerness: 0.6502, loss: 8.3420 2022-09-29 07:16:05,803 - mmdet - INFO - Epoch [12][5900/7390] lr: 1.000e-04, eta: 0:05:46, time: 0.238, data_time: 0.009, memory: 22925, loss_cls: 6.9712, loss_bbox: 0.7175, loss_centerness: 0.6502, loss: 8.3389 2022-09-29 07:16:17,551 - mmdet - INFO - Epoch [12][5950/7390] lr: 1.000e-04, eta: 0:05:34, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9629, loss_bbox: 0.7193, loss_centerness: 0.6505, loss: 8.3327 2022-09-29 07:16:29,301 - mmdet - INFO - Epoch [12][6000/7390] lr: 1.000e-04, eta: 0:05:23, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9701, loss_bbox: 0.7227, loss_centerness: 0.6497, loss: 8.3425 2022-09-29 07:16:40,890 - mmdet - INFO - Epoch [12][6050/7390] lr: 1.000e-04, eta: 0:05:11, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9752, loss_bbox: 0.7179, loss_centerness: 0.6497, loss: 8.3427 2022-09-29 07:16:52,503 - mmdet - INFO - Epoch [12][6100/7390] lr: 1.000e-04, eta: 0:05:00, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9596, loss_bbox: 0.7199, loss_centerness: 0.6497, loss: 8.3292 2022-09-29 07:17:04,365 - mmdet - INFO - Epoch [12][6150/7390] lr: 1.000e-04, eta: 0:04:48, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9695, loss_bbox: 0.7198, loss_centerness: 0.6498, loss: 8.3390 2022-09-29 07:17:15,883 - mmdet - INFO - Epoch [12][6200/7390] lr: 1.000e-04, eta: 0:04:36, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9731, loss_bbox: 0.7211, loss_centerness: 0.6504, loss: 8.3446 2022-09-29 07:17:27,376 - mmdet - INFO - Epoch [12][6250/7390] lr: 1.000e-04, eta: 0:04:25, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9790, loss_bbox: 0.7223, loss_centerness: 0.6497, loss: 8.3510 2022-09-29 07:17:38,892 - mmdet - INFO - Epoch [12][6300/7390] lr: 1.000e-04, eta: 0:04:13, time: 0.230, data_time: 0.009, memory: 22925, loss_cls: 6.9669, loss_bbox: 0.7201, loss_centerness: 0.6509, loss: 8.3379 2022-09-29 07:17:50,468 - mmdet - INFO - Epoch [12][6350/7390] lr: 1.000e-04, eta: 0:04:01, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9651, loss_bbox: 0.7208, loss_centerness: 0.6503, loss: 8.3362 2022-09-29 07:18:02,139 - mmdet - INFO - Epoch [12][6400/7390] lr: 1.000e-04, eta: 0:03:50, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9728, loss_bbox: 0.7207, loss_centerness: 0.6496, loss: 8.3431 2022-09-29 07:18:13,711 - mmdet - INFO - Epoch [12][6450/7390] lr: 1.000e-04, eta: 0:03:38, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9691, loss_bbox: 0.7224, loss_centerness: 0.6497, loss: 8.3411 2022-09-29 07:18:25,303 - mmdet - INFO - Epoch [12][6500/7390] lr: 1.000e-04, eta: 0:03:27, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9665, loss_bbox: 0.7235, loss_centerness: 0.6505, loss: 8.3405 2022-09-29 07:18:37,056 - mmdet - INFO - Epoch [12][6550/7390] lr: 1.000e-04, eta: 0:03:15, time: 0.235, data_time: 0.008, memory: 22925, loss_cls: 6.9662, loss_bbox: 0.7212, loss_centerness: 0.6503, loss: 8.3377 2022-09-29 07:18:48,651 - mmdet - INFO - Epoch [12][6600/7390] lr: 1.000e-04, eta: 0:03:03, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9738, loss_bbox: 0.7201, loss_centerness: 0.6505, loss: 8.3445 2022-09-29 07:19:00,309 - mmdet - INFO - Epoch [12][6650/7390] lr: 1.000e-04, eta: 0:02:52, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9685, loss_bbox: 0.7221, loss_centerness: 0.6503, loss: 8.3409 2022-09-29 07:19:11,901 - mmdet - INFO - Epoch [12][6700/7390] lr: 1.000e-04, eta: 0:02:40, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9621, loss_bbox: 0.7210, loss_centerness: 0.6499, loss: 8.3330 2022-09-29 07:19:23,604 - mmdet - INFO - Epoch [12][6750/7390] lr: 1.000e-04, eta: 0:02:28, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9661, loss_bbox: 0.7216, loss_centerness: 0.6498, loss: 8.3375 2022-09-29 07:19:35,204 - mmdet - INFO - Epoch [12][6800/7390] lr: 1.000e-04, eta: 0:02:17, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9705, loss_bbox: 0.7228, loss_centerness: 0.6503, loss: 8.3436 2022-09-29 07:19:46,981 - mmdet - INFO - Epoch [12][6850/7390] lr: 1.000e-04, eta: 0:02:05, time: 0.236, data_time: 0.010, memory: 22925, loss_cls: 6.9634, loss_bbox: 0.7212, loss_centerness: 0.6495, loss: 8.3341 2022-09-29 07:19:58,680 - mmdet - INFO - Epoch [12][6900/7390] lr: 1.000e-04, eta: 0:01:53, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9711, loss_bbox: 0.7223, loss_centerness: 0.6496, loss: 8.3429 2022-09-29 07:20:10,156 - mmdet - INFO - Epoch [12][6950/7390] lr: 1.000e-04, eta: 0:01:42, time: 0.229, data_time: 0.009, memory: 22925, loss_cls: 6.9658, loss_bbox: 0.7220, loss_centerness: 0.6504, loss: 8.3382 2022-09-29 07:20:22,006 - mmdet - INFO - Epoch [12][7000/7390] lr: 1.000e-04, eta: 0:01:30, time: 0.237, data_time: 0.009, memory: 22925, loss_cls: 6.9590, loss_bbox: 0.7196, loss_centerness: 0.6502, loss: 8.3288 2022-09-29 07:20:33,778 - mmdet - INFO - Epoch [12][7050/7390] lr: 1.000e-04, eta: 0:01:19, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9470, loss_bbox: 0.7221, loss_centerness: 0.6480, loss: 8.3171 2022-09-29 07:20:45,441 - mmdet - INFO - Epoch [12][7100/7390] lr: 1.000e-04, eta: 0:01:07, time: 0.233, data_time: 0.009, memory: 22925, loss_cls: 6.9720, loss_bbox: 0.7192, loss_centerness: 0.6499, loss: 8.3410 2022-09-29 07:20:57,018 - mmdet - INFO - Epoch [12][7150/7390] lr: 1.000e-04, eta: 0:00:55, time: 0.232, data_time: 0.009, memory: 22925, loss_cls: 6.9639, loss_bbox: 0.7216, loss_centerness: 0.6508, loss: 8.3364 2022-09-29 07:21:08,811 - mmdet - INFO - Epoch [12][7200/7390] lr: 1.000e-04, eta: 0:00:44, time: 0.236, data_time: 0.009, memory: 22925, loss_cls: 6.9668, loss_bbox: 0.7184, loss_centerness: 0.6502, loss: 8.3354 2022-09-29 07:21:20,553 - mmdet - INFO - Epoch [12][7250/7390] lr: 1.000e-04, eta: 0:00:32, time: 0.235, data_time: 0.009, memory: 22925, loss_cls: 6.9615, loss_bbox: 0.7199, loss_centerness: 0.6503, loss: 8.3316 2022-09-29 07:21:32,078 - mmdet - INFO - Epoch [12][7300/7390] lr: 1.000e-04, eta: 0:00:20, time: 0.231, data_time: 0.009, memory: 22925, loss_cls: 6.9702, loss_bbox: 0.7211, loss_centerness: 0.6496, loss: 8.3409 2022-09-29 07:21:43,771 - mmdet - INFO - Epoch [12][7350/7390] lr: 1.000e-04, eta: 0:00:09, time: 0.234, data_time: 0.009, memory: 22925, loss_cls: 6.9664, loss_bbox: 0.7186, loss_centerness: 0.6499, loss: 8.3349 2022-09-29 07:21:53,332 - mmdet - INFO - Saving checkpoint at 12 epochs