2023-11-13 16:47:39,573 - mmdet - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.8.17 (default, Jul 5 2023, 21:04:15) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/petrelfs/share/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (GCC) 7.5.0 PyTorch: 1.12.0 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.3.2 (built against CUDA 11.5) - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.0 OpenCV: 4.8.0 MMCV: 1.5.0 MMCV Compiler: GCC 7.5 MMCV CUDA Compiler: 11.3 MMDetection: 2.28.1+a85a748 ------------------------------------------------------------ 2023-11-13 16:47:39,913 - mmdet - INFO - Distributed training: True 2023-11-13 16:47:40,154 - mmdet - INFO - Config: model = dict( type='CascadeRCNN', backbone=dict( type='Flash_InternImage_nsmx2', core_op='FlashDCNv3', channels=160, depths=[5, 5, 22, 5], groups=[10, 20, 40, 80], mlp_ratio=4.0, drop_path_rate=0.4, norm_layer='LN', layer_scale=1.0, offset_scale=2.0, post_norm=True, with_cp=False, op_bias=True, out_indices=(0, 1, 2, 3), init_cfg=dict( type='Pretrained', checkpoint='/mnt/petrelfs/lizhiqi/flash_intern_l_wd_nsmx.pth')), neck=dict( type='FPN_vitdet', in_channels=[160, 320, 640, 1280], out_channels=256, num_outs=5, norm_cfg=dict(type='LN', requires_grad=True), use_residual=True), rpn_head=dict( type='RPNHead', in_channels=256, feat_channels=256, anchor_generator=dict( type='AnchorGenerator', scales=[8], ratios=[0.5, 1.0, 2.0], strides=[4, 8, 16, 32, 64]), bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[1.0, 1.0, 1.0, 1.0]), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), loss_bbox=dict( type='SmoothL1Loss', beta=0.1111111111111111, loss_weight=1.0)), roi_head=dict( type='CascadeRoIHead', num_stages=3, stage_loss_weights=[1, 0.5, 0.25], bbox_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), bbox_head=[ dict( type='ConvFCBBoxHead', num_shared_convs=4, num_shared_fcs=1, in_channels=256, conv_out_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.1, 0.1, 0.2, 0.2]), reg_class_agnostic=False, reg_decoded_bbox=True, norm_cfg=dict(type='SyncBN', requires_grad=True), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='GIoULoss', loss_weight=10.0)), dict( type='ConvFCBBoxHead', num_shared_convs=4, num_shared_fcs=1, in_channels=256, conv_out_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.05, 0.05, 0.1, 0.1]), reg_class_agnostic=False, reg_decoded_bbox=True, norm_cfg=dict(type='SyncBN', requires_grad=True), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='GIoULoss', loss_weight=10.0)), dict( type='ConvFCBBoxHead', num_shared_convs=4, num_shared_fcs=1, in_channels=256, conv_out_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.033, 0.033, 0.067, 0.067]), reg_class_agnostic=False, reg_decoded_bbox=True, norm_cfg=dict(type='SyncBN', requires_grad=True), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='GIoULoss', loss_weight=10.0)) ], mask_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), mask_head=dict( type='FCNMaskHead', num_convs=4, in_channels=256, conv_out_channels=256, num_classes=80, loss_mask=dict( type='CrossEntropyLoss', use_mask=True, loss_weight=1.0))), train_cfg=dict( rpn=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.3, min_pos_iou=0.3, match_low_quality=True, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=256, pos_fraction=0.5, neg_pos_ub=-1, add_gt_as_proposals=False), allowed_border=0, pos_weight=-1, debug=False), rpn_proposal=dict( nms_pre=2000, max_per_img=2000, nms=dict(type='nms', iou_threshold=0.7), min_bbox_size=0), rcnn=[ dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.5, min_pos_iou=0.5, match_low_quality=False, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False), dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.6, neg_iou_thr=0.6, min_pos_iou=0.6, match_low_quality=False, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False), dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.7, min_pos_iou=0.7, match_low_quality=False, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False) ]), test_cfg=dict( rpn=dict( nms_pre=1000, max_per_img=1000, nms=dict(type='nms', iou_threshold=0.7), min_bbox_size=0), rcnn=dict( score_thr=0.05, nms=dict(type='nms', iou_threshold=0.5), max_per_img=100, mask_thr_binary=0.5))) dataset_type = 'CocoDataset' data_root = 'data/coco/' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), 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='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']) ] 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='CocoDataset', ann_file='data/coco/annotations/instances_train2017.json', img_prefix='data/coco/train2017/', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), 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='DefaultFormatBundle'), dict( type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']) ]), val=dict( type='CocoDataset', 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', 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(metric=['bbox', 'segm'], classwise=True, save_best='auto') optimizer = dict( type='AdamW', lr=0.0001, weight_decay=0.05, constructor='CustomLayerDecayOptimizerConstructor', paramwise_cfg=dict( num_layers=37, layer_decay_rate=0.94, depths=[5, 5, 22, 5])) 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, max_keep_ckpts=1, save_last=True) log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) custom_hooks = [dict(type='NumClassCheckHook')] dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] pretrained = '/mnt/petrelfs/lizhiqi/flash_intern_l_wd_nsmx.pth' work_dir = './work_dirs/cascade_flash_internimage_l_fpn_1x_coco' auto_resume = False gpu_ids = range(0, 8) 2023-11-13 16:47:44,714 - mmdet - INFO - Set random seed to 1048534749, deterministic: False 2023-11-13 16:47:44,715 - mmdet - INFO - using core type: FlashDCNv3 2023-11-13 16:47:44,715 - mmdet - INFO - using activation layer: GELU 2023-11-13 16:47:44,715 - mmdet - INFO - using main norm layer: LN 2023-11-13 16:47:44,715 - mmdet - INFO - using dpr: linear, 0.4 2023-11-13 16:47:44,715 - mmdet - INFO - level2_post_norm: False 2023-11-13 16:47:44,715 - mmdet - INFO - level2_post_norm_block_ids: None 2023-11-13 16:47:44,715 - mmdet - INFO - res_post_norm: False 2023-11-13 16:47:48,851 - mmdet - INFO - load checkpoint from local path: /mnt/petrelfs/lizhiqi/flash_intern_l_wd_nsmx.pth 2023-11-13 16:47:51,001 - mmdet - INFO - _IncompatibleKeys(missing_keys=[], unexpected_keys=['conv_head.0.weight', 'conv_head.1.0.weight', 'conv_head.1.0.bias', 'conv_head.1.0.running_mean', 'conv_head.1.0.running_var', 'conv_head.1.0.num_batches_tracked', 'head.weight', 'head.bias']) 2023-11-13 16:47:51,128 - mmdet - INFO - initialize FPN_vitdet with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-11-13 16:47:51,146 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} 2023-11-13 16:47:51,150 - mmdet - INFO - initialize ConvFCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] 2023-11-13 16:47:51,245 - mmdet - INFO - initialize ConvFCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] 2023-11-13 16:47:51,330 - mmdet - INFO - initialize ConvFCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] Name of parameter - Initialization information backbone.patch_embed.conv1.weight - torch.Size([80, 3, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.conv1.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.norm1.1.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.norm1.1.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.conv2.weight - torch.Size([160, 80, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.conv2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.norm2.1.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.norm2.1.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.downsample.conv.weight - torch.Size([320, 160, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.downsample.norm.1.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.downsample.norm.1.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.downsample.conv.weight - torch.Size([640, 320, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.downsample.norm.1.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.downsample.norm.1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.downsample.conv.weight - torch.Size([1280, 640, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.downsample.norm.1.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.downsample.norm.1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 neck.lateral_convs.0.conv.weight - torch.Size([256, 160, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.0.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.lateral_convs.0.ln.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.lateral_convs.1.conv.weight - torch.Size([256, 320, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.1.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.lateral_convs.1.ln.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.lateral_convs.2.conv.weight - torch.Size([256, 640, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.2.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.lateral_convs.2.ln.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.lateral_convs.3.conv.weight - torch.Size([256, 1280, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.3.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.lateral_convs.3.ln.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.0.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.fpn_convs.0.ln.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.1.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.fpn_convs.1.ln.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.2.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.fpn_convs.2.ln.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.3.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN neck.fpn_convs.3.ln.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_conv.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.bias - torch.Size([3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.bias - torch.Size([12]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.0.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.0.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.0.fc_reg.weight - torch.Size([320, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.0.fc_reg.bias - torch.Size([320]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.0.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.3.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_convs.3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.0.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.0.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.1.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.1.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.1.fc_reg.weight - torch.Size([320, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.1.fc_reg.bias - torch.Size([320]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.1.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.3.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_convs.3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.1.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.1.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.2.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.2.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.2.fc_reg.weight - torch.Size([320, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.2.fc_reg.bias - torch.Size([320]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.2.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.3.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_convs.3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.bbox_head.2.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.2.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.mask_head.0.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.upsample.weight - torch.Size([256, 256, 2, 2]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.upsample.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.conv_logits.weight - torch.Size([80, 256, 1, 1]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.0.conv_logits.bias - torch.Size([80]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.upsample.weight - torch.Size([256, 256, 2, 2]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.upsample.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.conv_logits.weight - torch.Size([80, 256, 1, 1]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.1.conv_logits.bias - torch.Size([80]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.upsample.weight - torch.Size([256, 256, 2, 2]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.upsample.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.conv_logits.weight - torch.Size([80, 256, 1, 1]): The value is the same before and after calling `init_weights` of CascadeRCNN roi_head.mask_head.2.conv_logits.bias - torch.Size([80]): The value is the same before and after calling `init_weights` of CascadeRCNN 2023-11-13 16:48:10,125 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. 2023-11-13 16:48:10,125 - mmdet - INFO - {'num_layers': 37, 'layer_decay_rate': 0.94, 'depths': [5, 5, 22, 5]} 2023-11-13 16:48:10,125 - mmdet - INFO - Build CustomLayerDecayOptimizerConstructor 0.940000 - 39 2023-11-13 16:48:10,130 - mmdet - INFO - Param groups = { "layer_0_decay": { "param_names": [ "backbone.patch_embed.conv1.weight", "backbone.patch_embed.conv2.weight" ], "lr_scale": 0.09524856399210693, "lr": 9.524856399210694e-06, "weight_decay": 0.05 }, "layer_0_no_decay": { "param_names": [ "backbone.patch_embed.conv1.bias", "backbone.patch_embed.norm1.1.weight", "backbone.patch_embed.norm1.1.bias", "backbone.patch_embed.conv2.bias", "backbone.patch_embed.norm2.1.weight", "backbone.patch_embed.norm2.1.bias" ], "lr_scale": 0.09524856399210693, "lr": 9.524856399210694e-06, "weight_decay": 0.0 }, "layer_1_no_decay": { "param_names": [ "backbone.levels.0.blocks.0.gamma1", "backbone.levels.0.blocks.0.gamma2", "backbone.levels.0.blocks.0.norm1.0.weight", "backbone.levels.0.blocks.0.norm1.0.bias", "backbone.levels.0.blocks.0.dcn.offset_mask_dw.bias", "backbone.levels.0.blocks.0.dcn.offset_mask.bias", "backbone.levels.0.blocks.0.dcn.value_proj.bias", "backbone.levels.0.blocks.0.dcn.output_proj.bias", "backbone.levels.0.blocks.0.norm2.0.weight", "backbone.levels.0.blocks.0.norm2.0.bias", "backbone.levels.0.blocks.0.mlp.fc1.bias", "backbone.levels.0.blocks.0.mlp.fc2.bias" ], "lr_scale": 0.10132825956607122, "lr": 1.0132825956607122e-05, "weight_decay": 0.0 }, "layer_1_decay": { "param_names": [ "backbone.levels.0.blocks.0.dcn.offset_mask_dw.weight", "backbone.levels.0.blocks.0.dcn.offset_mask.weight", "backbone.levels.0.blocks.0.dcn.value_proj.weight", "backbone.levels.0.blocks.0.dcn.output_proj.weight", "backbone.levels.0.blocks.0.mlp.fc1.weight", "backbone.levels.0.blocks.0.mlp.fc2.weight" ], "lr_scale": 0.10132825956607122, "lr": 1.0132825956607122e-05, "weight_decay": 0.05 }, "layer_2_no_decay": { "param_names": [ "backbone.levels.0.blocks.1.gamma1", "backbone.levels.0.blocks.1.gamma2", "backbone.levels.0.blocks.1.norm1.0.weight", "backbone.levels.0.blocks.1.norm1.0.bias", "backbone.levels.0.blocks.1.dcn.offset_mask_dw.bias", "backbone.levels.0.blocks.1.dcn.offset_mask.bias", "backbone.levels.0.blocks.1.dcn.value_proj.bias", "backbone.levels.0.blocks.1.dcn.output_proj.bias", "backbone.levels.0.blocks.1.norm2.0.weight", "backbone.levels.0.blocks.1.norm2.0.bias", "backbone.levels.0.blocks.1.mlp.fc1.bias", "backbone.levels.0.blocks.1.mlp.fc2.bias" ], "lr_scale": 0.10779602081496939, "lr": 1.077960208149694e-05, "weight_decay": 0.0 }, "layer_2_decay": { "param_names": [ "backbone.levels.0.blocks.1.dcn.offset_mask_dw.weight", "backbone.levels.0.blocks.1.dcn.offset_mask.weight", "backbone.levels.0.blocks.1.dcn.value_proj.weight", "backbone.levels.0.blocks.1.dcn.output_proj.weight", "backbone.levels.0.blocks.1.mlp.fc1.weight", "backbone.levels.0.blocks.1.mlp.fc2.weight" ], "lr_scale": 0.10779602081496939, "lr": 1.077960208149694e-05, "weight_decay": 0.05 }, "layer_3_no_decay": { "param_names": [ "backbone.levels.0.blocks.2.gamma1", "backbone.levels.0.blocks.2.gamma2", "backbone.levels.0.blocks.2.norm1.0.weight", "backbone.levels.0.blocks.2.norm1.0.bias", "backbone.levels.0.blocks.2.dcn.offset_mask_dw.bias", "backbone.levels.0.blocks.2.dcn.offset_mask.bias", "backbone.levels.0.blocks.2.dcn.value_proj.bias", "backbone.levels.0.blocks.2.dcn.output_proj.bias", "backbone.levels.0.blocks.2.norm2.0.weight", "backbone.levels.0.blocks.2.norm2.0.bias", "backbone.levels.0.blocks.2.mlp.fc1.bias", "backbone.levels.0.blocks.2.mlp.fc2.bias" ], "lr_scale": 0.11467661788826532, "lr": 1.1467661788826532e-05, "weight_decay": 0.0 }, "layer_3_decay": { "param_names": [ "backbone.levels.0.blocks.2.dcn.offset_mask_dw.weight", "backbone.levels.0.blocks.2.dcn.offset_mask.weight", "backbone.levels.0.blocks.2.dcn.value_proj.weight", "backbone.levels.0.blocks.2.dcn.output_proj.weight", "backbone.levels.0.blocks.2.mlp.fc1.weight", "backbone.levels.0.blocks.2.mlp.fc2.weight" ], "lr_scale": 0.11467661788826532, "lr": 1.1467661788826532e-05, "weight_decay": 0.05 }, "layer_4_no_decay": { "param_names": [ "backbone.levels.0.blocks.3.gamma1", "backbone.levels.0.blocks.3.gamma2", "backbone.levels.0.blocks.3.norm1.0.weight", "backbone.levels.0.blocks.3.norm1.0.bias", "backbone.levels.0.blocks.3.dcn.offset_mask_dw.bias", "backbone.levels.0.blocks.3.dcn.offset_mask.bias", "backbone.levels.0.blocks.3.dcn.value_proj.bias", "backbone.levels.0.blocks.3.dcn.output_proj.bias", "backbone.levels.0.blocks.3.norm2.0.weight", "backbone.levels.0.blocks.3.norm2.0.bias", "backbone.levels.0.blocks.3.mlp.fc1.bias", "backbone.levels.0.blocks.3.mlp.fc2.bias" ], "lr_scale": 0.12199640200879289, "lr": 1.219964020087929e-05, "weight_decay": 0.0 }, "layer_4_decay": { "param_names": [ "backbone.levels.0.blocks.3.dcn.offset_mask_dw.weight", "backbone.levels.0.blocks.3.dcn.offset_mask.weight", "backbone.levels.0.blocks.3.dcn.value_proj.weight", "backbone.levels.0.blocks.3.dcn.output_proj.weight", "backbone.levels.0.blocks.3.mlp.fc1.weight", "backbone.levels.0.blocks.3.mlp.fc2.weight" ], "lr_scale": 0.12199640200879289, "lr": 1.219964020087929e-05, "weight_decay": 0.05 }, "layer_5_no_decay": { "param_names": [ "backbone.levels.0.blocks.4.gamma1", "backbone.levels.0.blocks.4.gamma2", "backbone.levels.0.blocks.4.norm1.0.weight", "backbone.levels.0.blocks.4.norm1.0.bias", 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"roi_head.mask_head.1.convs.1.conv.bias", "roi_head.mask_head.1.convs.2.conv.bias", "roi_head.mask_head.1.convs.3.conv.bias", "roi_head.mask_head.1.upsample.bias", "roi_head.mask_head.1.conv_logits.bias", "roi_head.mask_head.2.convs.0.conv.bias", "roi_head.mask_head.2.convs.1.conv.bias", "roi_head.mask_head.2.convs.2.conv.bias", "roi_head.mask_head.2.convs.3.conv.bias", "roi_head.mask_head.2.upsample.bias", "roi_head.mask_head.2.conv_logits.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 } } 2023-11-13 16:48:10,683 - mmdet - INFO - Start running, host: lizhiqi@SH-IDC1-10-140-37-106, work_dir: /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco 2023-11-13 16:48:10,683 - mmdet - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) NumClassCheckHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) NumClassCheckHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2023-11-13 16:48:10,684 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs 2023-11-13 16:48:10,684 - mmdet - INFO - Checkpoints will be saved to /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco by HardDiskBackend. 2023-11-13 16:48:49,945 - mmdet - INFO - Epoch [1][50/7330] lr: 9.420e-07, eta: 19:09:53, time: 0.785, data_time: 0.093, memory: 28583, loss_rpn_cls: 0.6778, loss_rpn_bbox: 0.0829, s0.loss_cls: 2.7872, s0.acc: 66.9043, s0.loss_bbox: 0.0410, s0.loss_mask: 0.6939, s1.loss_cls: 1.2939, s1.acc: 73.9641, s1.loss_bbox: 0.0052, s1.loss_mask: 0.3474, s2.loss_cls: 0.7025, s2.acc: 66.1077, s2.loss_bbox: 0.0006, s2.loss_mask: 0.1734, loss: 6.8058 2023-11-13 16:49:21,462 - mmdet - INFO - Epoch [1][100/7330] lr: 1.894e-06, eta: 17:16:10, time: 0.630, data_time: 0.024, memory: 28818, loss_rpn_cls: 0.5164, loss_rpn_bbox: 0.0719, s0.loss_cls: 0.4135, s0.acc: 94.4785, s0.loss_bbox: 0.1843, s0.loss_mask: 0.6900, s1.loss_cls: 0.1207, s1.acc: 97.1885, s1.loss_bbox: 0.0250, s1.loss_mask: 0.3434, s2.loss_cls: 0.0438, s2.acc: 98.2231, s2.loss_bbox: 0.0027, s2.loss_mask: 0.1716, loss: 2.5831 2023-11-13 16:49:54,221 - mmdet - INFO - Epoch [1][150/7330] lr: 2.845e-06, eta: 16:49:59, time: 0.655, data_time: 0.026, memory: 28942, loss_rpn_cls: 0.2714, loss_rpn_bbox: 0.0775, s0.loss_cls: 0.4383, s0.acc: 92.9482, s0.loss_bbox: 0.2455, s0.loss_mask: 0.6682, s1.loss_cls: 0.1251, s1.acc: 96.5439, s1.loss_bbox: 0.0335, s1.loss_mask: 0.3315, s2.loss_cls: 0.0415, s2.acc: 97.9231, s2.loss_bbox: 0.0037, s2.loss_mask: 0.1641, loss: 2.4002 2023-11-13 16:50:26,627 - mmdet - INFO - Epoch [1][200/7330] lr: 3.797e-06, eta: 16:34:02, time: 0.648, data_time: 0.021, memory: 28942, loss_rpn_cls: 0.1768, loss_rpn_bbox: 0.0703, s0.loss_cls: 0.4976, s0.acc: 91.4961, s0.loss_bbox: 0.3142, s0.loss_mask: 0.6285, s1.loss_cls: 0.1361, s1.acc: 96.0173, s1.loss_bbox: 0.0435, s1.loss_mask: 0.3109, s2.loss_cls: 0.0418, s2.acc: 97.8174, s2.loss_bbox: 0.0046, s2.loss_mask: 0.1536, loss: 2.3778 2023-11-13 16:50:59,518 - mmdet - INFO - Epoch [1][250/7330] lr: 4.748e-06, eta: 16:27:05, time: 0.658, data_time: 0.028, memory: 28942, loss_rpn_cls: 0.1121, loss_rpn_bbox: 0.0620, s0.loss_cls: 0.5183, s0.acc: 90.5437, s0.loss_bbox: 0.3738, s0.loss_mask: 0.5780, s1.loss_cls: 0.1392, s1.acc: 95.6284, s1.loss_bbox: 0.0509, s1.loss_mask: 0.2901, s2.loss_cls: 0.0412, s2.acc: 97.7437, s2.loss_bbox: 0.0054, s2.loss_mask: 0.1436, loss: 2.3146 2023-11-13 16:51:32,353 - mmdet - INFO - Epoch [1][300/7330] lr: 5.700e-06, eta: 16:22:00, time: 0.657, data_time: 0.031, memory: 29055, loss_rpn_cls: 0.0945, loss_rpn_bbox: 0.0643, s0.loss_cls: 0.5449, s0.acc: 89.6650, s0.loss_bbox: 0.4182, s0.loss_mask: 0.5041, s1.loss_cls: 0.1458, s1.acc: 95.0535, s1.loss_bbox: 0.0606, s1.loss_mask: 0.2582, s2.loss_cls: 0.0418, s2.acc: 97.5671, s2.loss_bbox: 0.0063, s2.loss_mask: 0.1303, loss: 2.2691 2023-11-13 16:52:04,516 - mmdet - INFO - Epoch [1][350/7330] lr: 6.651e-06, eta: 16:15:27, time: 0.643, data_time: 0.024, memory: 29055, loss_rpn_cls: 0.0821, loss_rpn_bbox: 0.0631, s0.loss_cls: 0.5549, s0.acc: 89.2783, s0.loss_bbox: 0.4384, s0.loss_mask: 0.4586, s1.loss_cls: 0.1519, s1.acc: 94.5696, s1.loss_bbox: 0.0699, s1.loss_mask: 0.2326, s2.loss_cls: 0.0426, s2.acc: 97.3745, s2.loss_bbox: 0.0076, s2.loss_mask: 0.1182, loss: 2.2198 2023-11-13 16:52:37,091 - mmdet - INFO - Epoch [1][400/7330] lr: 7.603e-06, eta: 16:11:52, time: 0.651, data_time: 0.031, memory: 29264, loss_rpn_cls: 0.0754, loss_rpn_bbox: 0.0588, s0.loss_cls: 0.5383, s0.acc: 89.2229, s0.loss_bbox: 0.4538, s0.loss_mask: 0.4355, s1.loss_cls: 0.1564, s1.acc: 93.9749, s1.loss_bbox: 0.0840, s1.loss_mask: 0.2167, s2.loss_cls: 0.0442, s2.acc: 96.9329, s2.loss_bbox: 0.0103, s2.loss_mask: 0.1090, loss: 2.1824 2023-11-13 16:53:10,103 - mmdet - INFO - Epoch [1][450/7330] lr: 8.554e-06, eta: 16:10:22, time: 0.660, data_time: 0.025, memory: 29322, loss_rpn_cls: 0.0691, loss_rpn_bbox: 0.0572, s0.loss_cls: 0.5162, s0.acc: 89.0911, s0.loss_bbox: 0.4478, s0.loss_mask: 0.4141, s1.loss_cls: 0.1650, s1.acc: 93.3955, s1.loss_bbox: 0.0977, s1.loss_mask: 0.2060, s2.loss_cls: 0.0477, s2.acc: 96.4597, s2.loss_bbox: 0.0137, s2.loss_mask: 0.1036, loss: 2.1380 2023-11-13 16:53:42,291 - mmdet - INFO - Epoch [1][500/7330] lr: 9.506e-06, eta: 16:06:40, time: 0.644, data_time: 0.026, memory: 29549, loss_rpn_cls: 0.0678, loss_rpn_bbox: 0.0521, s0.loss_cls: 0.4803, s0.acc: 88.9373, s0.loss_bbox: 0.4556, s0.loss_mask: 0.4008, s1.loss_cls: 0.1762, s1.acc: 92.3130, s1.loss_bbox: 0.1206, s1.loss_mask: 0.1963, s2.loss_cls: 0.0526, s2.acc: 95.7314, s2.loss_bbox: 0.0190, s2.loss_mask: 0.0987, loss: 2.1199 2023-11-13 16:54:14,865 - mmdet - INFO - Epoch [1][550/7330] lr: 9.525e-06, eta: 16:04:34, time: 0.651, data_time: 0.027, memory: 29549, loss_rpn_cls: 0.0690, loss_rpn_bbox: 0.0556, s0.loss_cls: 0.4682, s0.acc: 88.7209, s0.loss_bbox: 0.4566, s0.loss_mask: 0.3969, s1.loss_cls: 0.1940, s1.acc: 91.0507, s1.loss_bbox: 0.1408, s1.loss_mask: 0.1925, s2.loss_cls: 0.0613, s2.acc: 94.8334, s2.loss_bbox: 0.0246, s2.loss_mask: 0.0950, loss: 2.1544 2023-11-13 16:54:48,068 - mmdet - INFO - Epoch [1][600/7330] lr: 9.525e-06, eta: 16:04:16, time: 0.664, data_time: 0.030, memory: 29549, loss_rpn_cls: 0.0644, loss_rpn_bbox: 0.0537, s0.loss_cls: 0.4214, s0.acc: 89.2097, s0.loss_bbox: 0.4368, s0.loss_mask: 0.3755, s1.loss_cls: 0.1810, s1.acc: 91.0207, s1.loss_bbox: 0.1472, s1.loss_mask: 0.1813, s2.loss_cls: 0.0605, s2.acc: 94.3593, s2.loss_bbox: 0.0288, s2.loss_mask: 0.0883, loss: 2.0389 2023-11-13 16:55:20,833 - mmdet - INFO - Epoch [1][650/7330] lr: 9.525e-06, eta: 16:02:55, time: 0.655, data_time: 0.024, memory: 29752, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0521, s0.loss_cls: 0.4157, s0.acc: 88.8325, s0.loss_bbox: 0.4491, s0.loss_mask: 0.3681, s1.loss_cls: 0.1856, s1.acc: 90.2383, s1.loss_bbox: 0.1626, s1.loss_mask: 0.1761, s2.loss_cls: 0.0646, s2.acc: 93.6257, s2.loss_bbox: 0.0349, s2.loss_mask: 0.0846, loss: 2.0547 2023-11-13 16:55:53,916 - mmdet - INFO - Epoch [1][700/7330] lr: 9.525e-06, eta: 16:02:21, time: 0.662, data_time: 0.022, memory: 29777, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0512, s0.loss_cls: 0.3802, s0.acc: 89.3801, s0.loss_bbox: 0.4341, s0.loss_mask: 0.3527, s1.loss_cls: 0.1734, s1.acc: 90.3038, s1.loss_bbox: 0.1671, s1.loss_mask: 0.1691, s2.loss_cls: 0.0640, s2.acc: 93.1003, s2.loss_bbox: 0.0403, s2.loss_mask: 0.0813, loss: 1.9709 2023-11-13 16:56:26,919 - mmdet - INFO - Epoch [1][750/7330] lr: 9.525e-06, eta: 16:01:39, time: 0.660, data_time: 0.024, memory: 29777, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0516, s0.loss_cls: 0.3765, s0.acc: 88.9836, s0.loss_bbox: 0.4421, s0.loss_mask: 0.3516, s1.loss_cls: 0.1717, s1.acc: 89.9463, s1.loss_bbox: 0.1742, s1.loss_mask: 0.1661, s2.loss_cls: 0.0663, s2.acc: 92.5521, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0792, loss: 1.9824 2023-11-13 16:56:59,934 - mmdet - INFO - Epoch [1][800/7330] lr: 9.525e-06, eta: 16:00:59, time: 0.660, data_time: 0.028, memory: 29880, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0504, s0.loss_cls: 0.3546, s0.acc: 89.5837, s0.loss_bbox: 0.4255, s0.loss_mask: 0.3330, s1.loss_cls: 0.1635, s1.acc: 90.2693, s1.loss_bbox: 0.1733, s1.loss_mask: 0.1586, s2.loss_cls: 0.0649, s2.acc: 92.4075, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0756, loss: 1.9030 2023-11-13 16:57:32,930 - mmdet - INFO - Epoch [1][850/7330] lr: 9.525e-06, eta: 16:00:17, time: 0.660, data_time: 0.023, memory: 29955, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0483, s0.loss_cls: 0.3297, s0.acc: 90.0046, s0.loss_bbox: 0.4119, s0.loss_mask: 0.3367, s1.loss_cls: 0.1553, s1.acc: 90.3986, s1.loss_bbox: 0.1732, s1.loss_mask: 0.1597, s2.loss_cls: 0.0645, s2.acc: 92.0656, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0752, loss: 1.8601 2023-11-13 16:58:06,137 - mmdet - INFO - Epoch [1][900/7330] lr: 9.525e-06, eta: 15:59:57, time: 0.664, data_time: 0.029, memory: 29955, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0475, s0.loss_cls: 0.3118, s0.acc: 90.4004, s0.loss_bbox: 0.3969, s0.loss_mask: 0.3252, s1.loss_cls: 0.1472, s1.acc: 90.7381, s1.loss_bbox: 0.1679, s1.loss_mask: 0.1521, s2.loss_cls: 0.0622, s2.acc: 92.1389, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0713, loss: 1.7881 2023-11-13 16:58:39,520 - mmdet - INFO - Epoch [1][950/7330] lr: 9.525e-06, eta: 15:59:52, time: 0.668, data_time: 0.022, memory: 30015, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0463, s0.loss_cls: 0.3097, s0.acc: 90.3291, s0.loss_bbox: 0.3999, s0.loss_mask: 0.3265, s1.loss_cls: 0.1472, s1.acc: 90.5162, s1.loss_bbox: 0.1745, s1.loss_mask: 0.1544, s2.loss_cls: 0.0626, s2.acc: 91.9319, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0722, loss: 1.7979 2023-11-13 16:59:13,269 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 16:59:13,269 - mmdet - INFO - Epoch [1][1000/7330] lr: 9.525e-06, eta: 16:00:15, time: 0.675, data_time: 0.024, memory: 30015, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0493, s0.loss_cls: 0.3070, s0.acc: 90.3816, s0.loss_bbox: 0.3975, s0.loss_mask: 0.3230, s1.loss_cls: 0.1458, s1.acc: 90.6426, s1.loss_bbox: 0.1728, s1.loss_mask: 0.1510, s2.loss_cls: 0.0645, s2.acc: 91.6605, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0704, loss: 1.7919 2023-11-13 16:59:46,520 - mmdet - INFO - Epoch [1][1050/7330] lr: 9.525e-06, eta: 15:59:53, time: 0.665, data_time: 0.026, memory: 30018, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0473, s0.loss_cls: 0.2965, s0.acc: 90.7266, s0.loss_bbox: 0.3835, s0.loss_mask: 0.3227, s1.loss_cls: 0.1419, s1.acc: 90.8622, s1.loss_bbox: 0.1694, s1.loss_mask: 0.1512, s2.loss_cls: 0.0621, s2.acc: 91.9362, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0706, loss: 1.7550 2023-11-13 17:00:19,867 - mmdet - INFO - Epoch [1][1100/7330] lr: 9.525e-06, eta: 15:59:36, time: 0.667, data_time: 0.020, memory: 30018, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0446, s0.loss_cls: 0.2976, s0.acc: 90.4773, s0.loss_bbox: 0.3866, s0.loss_mask: 0.3160, s1.loss_cls: 0.1436, s1.acc: 90.5302, s1.loss_bbox: 0.1733, s1.loss_mask: 0.1486, s2.loss_cls: 0.0650, s2.acc: 91.3241, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0692, loss: 1.7588 2023-11-13 17:00:53,276 - mmdet - INFO - Epoch [1][1150/7330] lr: 9.525e-06, eta: 15:59:23, time: 0.668, data_time: 0.023, memory: 30073, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0472, s0.loss_cls: 0.2883, s0.acc: 90.7556, s0.loss_bbox: 0.3751, s0.loss_mask: 0.3152, s1.loss_cls: 0.1396, s1.acc: 90.9184, s1.loss_bbox: 0.1677, s1.loss_mask: 0.1485, s2.loss_cls: 0.0637, s2.acc: 91.5290, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0695, loss: 1.7233 2023-11-13 17:01:27,135 - mmdet - INFO - Epoch [1][1200/7330] lr: 9.525e-06, eta: 15:59:40, time: 0.677, data_time: 0.031, memory: 30073, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0487, s0.loss_cls: 0.2868, s0.acc: 90.7258, s0.loss_bbox: 0.3860, s0.loss_mask: 0.3125, s1.loss_cls: 0.1382, s1.acc: 90.8658, s1.loss_bbox: 0.1709, s1.loss_mask: 0.1471, s2.loss_cls: 0.0626, s2.acc: 91.5964, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0691, loss: 1.7385 2023-11-13 17:02:00,983 - mmdet - INFO - Epoch [1][1250/7330] lr: 9.525e-06, eta: 15:59:54, time: 0.677, data_time: 0.024, memory: 30073, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0476, s0.loss_cls: 0.2981, s0.acc: 90.3613, s0.loss_bbox: 0.3847, s0.loss_mask: 0.3038, s1.loss_cls: 0.1429, s1.acc: 90.6230, s1.loss_bbox: 0.1728, s1.loss_mask: 0.1436, s2.loss_cls: 0.0655, s2.acc: 91.2875, s2.loss_bbox: 0.0634, s2.loss_mask: 0.0666, loss: 1.7432 2023-11-13 17:02:34,191 - mmdet - INFO - Epoch [1][1300/7330] lr: 9.525e-06, eta: 15:59:20, time: 0.664, data_time: 0.024, memory: 30073, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0466, s0.loss_cls: 0.2826, s0.acc: 90.7742, s0.loss_bbox: 0.3770, s0.loss_mask: 0.3065, s1.loss_cls: 0.1391, s1.acc: 90.7462, s1.loss_bbox: 0.1689, s1.loss_mask: 0.1455, s2.loss_cls: 0.0650, s2.acc: 91.1890, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0675, loss: 1.7081 2023-11-13 17:03:07,195 - mmdet - INFO - Epoch [1][1350/7330] lr: 9.525e-06, eta: 15:58:33, time: 0.660, data_time: 0.021, memory: 30073, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0438, s0.loss_cls: 0.2746, s0.acc: 91.1096, s0.loss_bbox: 0.3539, s0.loss_mask: 0.3063, s1.loss_cls: 0.1345, s1.acc: 91.1394, s1.loss_bbox: 0.1601, s1.loss_mask: 0.1436, s2.loss_cls: 0.0627, s2.acc: 91.6154, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0668, loss: 1.6528 2023-11-13 17:03:40,685 - mmdet - INFO - Epoch [1][1400/7330] lr: 9.525e-06, eta: 15:58:18, time: 0.670, data_time: 0.026, memory: 30109, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0439, s0.loss_cls: 0.2755, s0.acc: 91.1248, s0.loss_bbox: 0.3537, s0.loss_mask: 0.3051, s1.loss_cls: 0.1378, s1.acc: 90.9931, s1.loss_bbox: 0.1607, s1.loss_mask: 0.1422, s2.loss_cls: 0.0641, s2.acc: 91.4814, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0658, loss: 1.6571 2023-11-13 17:04:13,977 - mmdet - INFO - Epoch [1][1450/7330] lr: 9.525e-06, eta: 15:57:50, time: 0.666, data_time: 0.027, memory: 30109, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0421, s0.loss_cls: 0.2676, s0.acc: 91.2690, s0.loss_bbox: 0.3617, s0.loss_mask: 0.2986, s1.loss_cls: 0.1308, s1.acc: 91.2765, s1.loss_bbox: 0.1653, s1.loss_mask: 0.1411, s2.loss_cls: 0.0617, s2.acc: 91.4475, s2.loss_bbox: 0.0641, s2.loss_mask: 0.0660, loss: 1.6457 2023-11-13 17:04:47,463 - mmdet - INFO - Epoch [1][1500/7330] lr: 9.525e-06, eta: 15:57:32, time: 0.670, data_time: 0.027, memory: 30109, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0446, s0.loss_cls: 0.2654, s0.acc: 91.2383, s0.loss_bbox: 0.3556, s0.loss_mask: 0.2966, s1.loss_cls: 0.1324, s1.acc: 91.1098, s1.loss_bbox: 0.1626, s1.loss_mask: 0.1408, s2.loss_cls: 0.0632, s2.acc: 91.3566, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0662, loss: 1.6368 2023-11-13 17:05:20,556 - mmdet - INFO - Epoch [1][1550/7330] lr: 9.525e-06, eta: 15:56:52, time: 0.662, data_time: 0.028, memory: 30109, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0424, s0.loss_cls: 0.2595, s0.acc: 91.6179, s0.loss_bbox: 0.3443, s0.loss_mask: 0.2969, s1.loss_cls: 0.1272, s1.acc: 91.4996, s1.loss_bbox: 0.1572, s1.loss_mask: 0.1423, s2.loss_cls: 0.0604, s2.acc: 91.7469, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0666, loss: 1.6007 2023-11-13 17:05:54,228 - mmdet - INFO - Epoch [1][1600/7330] lr: 9.525e-06, eta: 15:56:42, time: 0.673, data_time: 0.030, memory: 30109, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0418, s0.loss_cls: 0.2648, s0.acc: 91.3008, s0.loss_bbox: 0.3577, s0.loss_mask: 0.2981, s1.loss_cls: 0.1313, s1.acc: 91.1657, s1.loss_bbox: 0.1627, s1.loss_mask: 0.1413, s2.loss_cls: 0.0618, s2.acc: 91.4589, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0655, loss: 1.6354 2023-11-13 17:06:27,654 - mmdet - INFO - Epoch [1][1650/7330] lr: 9.525e-06, eta: 15:56:19, time: 0.668, data_time: 0.026, memory: 30109, loss_rpn_cls: 0.0424, loss_rpn_bbox: 0.0406, s0.loss_cls: 0.2532, s0.acc: 91.8137, s0.loss_bbox: 0.3447, s0.loss_mask: 0.2861, s1.loss_cls: 0.1233, s1.acc: 91.8035, s1.loss_bbox: 0.1579, s1.loss_mask: 0.1362, s2.loss_cls: 0.0589, s2.acc: 91.9011, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0634, loss: 1.5694 2023-11-13 17:07:01,273 - mmdet - INFO - Epoch [1][1700/7330] lr: 9.525e-06, eta: 15:56:05, time: 0.672, data_time: 0.023, memory: 30109, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0396, s0.loss_cls: 0.2498, s0.acc: 91.6729, s0.loss_bbox: 0.3459, s0.loss_mask: 0.2874, s1.loss_cls: 0.1237, s1.acc: 91.5471, s1.loss_bbox: 0.1585, s1.loss_mask: 0.1368, s2.loss_cls: 0.0595, s2.acc: 91.8634, s2.loss_bbox: 0.0623, s2.loss_mask: 0.0642, loss: 1.5697 2023-11-13 17:07:35,361 - mmdet - INFO - Epoch [1][1750/7330] lr: 9.525e-06, eta: 15:56:13, time: 0.682, data_time: 0.030, memory: 30109, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0438, s0.loss_cls: 0.2539, s0.acc: 91.4741, s0.loss_bbox: 0.3547, s0.loss_mask: 0.2915, s1.loss_cls: 0.1247, s1.acc: 91.4319, s1.loss_bbox: 0.1619, s1.loss_mask: 0.1375, s2.loss_cls: 0.0596, s2.acc: 91.6765, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0639, loss: 1.6019 2023-11-13 17:08:08,747 - mmdet - INFO - Epoch [1][1800/7330] lr: 9.525e-06, eta: 15:55:45, time: 0.668, data_time: 0.031, memory: 30109, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0433, s0.loss_cls: 0.2557, s0.acc: 91.3879, s0.loss_bbox: 0.3579, s0.loss_mask: 0.2958, s1.loss_cls: 0.1260, s1.acc: 91.4165, s1.loss_bbox: 0.1626, s1.loss_mask: 0.1395, s2.loss_cls: 0.0605, s2.acc: 91.6380, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0654, loss: 1.6154 2023-11-13 17:08:42,391 - mmdet - INFO - Epoch [1][1850/7330] lr: 9.525e-06, eta: 15:55:29, time: 0.673, data_time: 0.025, memory: 30109, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0446, s0.loss_cls: 0.2673, s0.acc: 91.1694, s0.loss_bbox: 0.3555, s0.loss_mask: 0.2888, s1.loss_cls: 0.1305, s1.acc: 91.1561, s1.loss_bbox: 0.1606, s1.loss_mask: 0.1366, s2.loss_cls: 0.0621, s2.acc: 91.3323, s2.loss_bbox: 0.0643, s2.loss_mask: 0.0630, loss: 1.6202 2023-11-13 17:09:15,509 - mmdet - INFO - Epoch [1][1900/7330] lr: 9.525e-06, eta: 15:54:48, time: 0.662, data_time: 0.029, memory: 30109, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0409, s0.loss_cls: 0.2522, s0.acc: 91.5815, s0.loss_bbox: 0.3432, s0.loss_mask: 0.2872, s1.loss_cls: 0.1256, s1.acc: 91.4662, s1.loss_bbox: 0.1581, s1.loss_mask: 0.1356, s2.loss_cls: 0.0612, s2.acc: 91.6166, s2.loss_bbox: 0.0642, s2.loss_mask: 0.0627, loss: 1.5748 2023-11-13 17:09:48,647 - mmdet - INFO - Epoch [1][1950/7330] lr: 9.525e-06, eta: 15:54:08, time: 0.663, data_time: 0.029, memory: 30109, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0405, s0.loss_cls: 0.2500, s0.acc: 91.4734, s0.loss_bbox: 0.3464, s0.loss_mask: 0.2886, s1.loss_cls: 0.1240, s1.acc: 91.3779, s1.loss_bbox: 0.1584, s1.loss_mask: 0.1372, s2.loss_cls: 0.0607, s2.acc: 91.4474, s2.loss_bbox: 0.0636, s2.loss_mask: 0.0638, loss: 1.5785 2023-11-13 17:10:22,566 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 17:10:22,566 - mmdet - INFO - Epoch [1][2000/7330] lr: 9.525e-06, eta: 15:54:02, time: 0.678, data_time: 0.029, memory: 30109, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0409, s0.loss_cls: 0.2573, s0.acc: 91.4236, s0.loss_bbox: 0.3464, s0.loss_mask: 0.2815, s1.loss_cls: 0.1281, s1.acc: 91.3364, s1.loss_bbox: 0.1582, s1.loss_mask: 0.1342, s2.loss_cls: 0.0623, s2.acc: 91.3301, s2.loss_bbox: 0.0640, s2.loss_mask: 0.0625, loss: 1.5784 2023-11-13 17:10:56,546 - mmdet - INFO - Epoch [1][2050/7330] lr: 9.525e-06, eta: 15:53:57, time: 0.680, data_time: 0.035, memory: 30109, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0425, s0.loss_cls: 0.2659, s0.acc: 91.1140, s0.loss_bbox: 0.3594, s0.loss_mask: 0.2852, s1.loss_cls: 0.1301, s1.acc: 91.1236, s1.loss_bbox: 0.1613, s1.loss_mask: 0.1363, s2.loss_cls: 0.0629, s2.acc: 91.2956, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0635, loss: 1.6163 2023-11-13 17:11:29,986 - mmdet - INFO - Epoch [1][2100/7330] lr: 9.525e-06, eta: 15:53:29, time: 0.669, data_time: 0.026, memory: 30109, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0400, s0.loss_cls: 0.2456, s0.acc: 91.6382, s0.loss_bbox: 0.3528, s0.loss_mask: 0.2875, s1.loss_cls: 0.1207, s1.acc: 91.6013, s1.loss_bbox: 0.1608, s1.loss_mask: 0.1365, s2.loss_cls: 0.0595, s2.acc: 91.5132, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0631, loss: 1.5765 2023-11-13 17:12:03,096 - mmdet - INFO - Epoch [1][2150/7330] lr: 9.525e-06, eta: 15:52:48, time: 0.662, data_time: 0.023, memory: 30109, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0404, s0.loss_cls: 0.2438, s0.acc: 91.9436, s0.loss_bbox: 0.3380, s0.loss_mask: 0.2797, s1.loss_cls: 0.1215, s1.acc: 91.8205, s1.loss_bbox: 0.1549, s1.loss_mask: 0.1336, s2.loss_cls: 0.0593, s2.acc: 91.9489, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0621, loss: 1.5412 2023-11-13 17:12:36,521 - mmdet - INFO - Epoch [1][2200/7330] lr: 9.525e-06, eta: 15:52:19, time: 0.669, data_time: 0.020, memory: 30109, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0387, s0.loss_cls: 0.2474, s0.acc: 91.7061, s0.loss_bbox: 0.3404, s0.loss_mask: 0.2867, s1.loss_cls: 0.1237, s1.acc: 91.6116, s1.loss_bbox: 0.1559, s1.loss_mask: 0.1366, s2.loss_cls: 0.0601, s2.acc: 91.6509, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0628, loss: 1.5537 2023-11-13 17:13:09,997 - mmdet - INFO - Epoch [1][2250/7330] lr: 9.525e-06, eta: 15:51:52, time: 0.669, data_time: 0.030, memory: 30109, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0405, s0.loss_cls: 0.2498, s0.acc: 91.5618, s0.loss_bbox: 0.3423, s0.loss_mask: 0.2838, s1.loss_cls: 0.1233, s1.acc: 91.5271, s1.loss_bbox: 0.1550, s1.loss_mask: 0.1350, s2.loss_cls: 0.0602, s2.acc: 91.5513, s2.loss_bbox: 0.0622, s2.loss_mask: 0.0627, loss: 1.5579 2023-11-13 17:13:43,449 - mmdet - INFO - Epoch [1][2300/7330] lr: 9.525e-06, eta: 15:51:23, time: 0.669, data_time: 0.024, memory: 30109, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0416, s0.loss_cls: 0.2484, s0.acc: 91.6926, s0.loss_bbox: 0.3423, s0.loss_mask: 0.2821, s1.loss_cls: 0.1220, s1.acc: 91.6331, s1.loss_bbox: 0.1559, s1.loss_mask: 0.1356, s2.loss_cls: 0.0600, s2.acc: 91.5373, s2.loss_bbox: 0.0628, s2.loss_mask: 0.0630, loss: 1.5559 2023-11-13 17:14:16,526 - mmdet - INFO - Epoch [1][2350/7330] lr: 9.525e-06, eta: 15:50:41, time: 0.662, data_time: 0.021, memory: 30109, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0385, s0.loss_cls: 0.2356, s0.acc: 91.9231, s0.loss_bbox: 0.3360, s0.loss_mask: 0.2784, s1.loss_cls: 0.1176, s1.acc: 91.7763, s1.loss_bbox: 0.1540, s1.loss_mask: 0.1335, s2.loss_cls: 0.0581, s2.acc: 91.7438, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0620, loss: 1.5177 2023-11-13 17:14:50,194 - mmdet - INFO - Epoch [1][2400/7330] lr: 9.525e-06, eta: 15:50:20, time: 0.673, data_time: 0.024, memory: 30109, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0388, s0.loss_cls: 0.2420, s0.acc: 91.8240, s0.loss_bbox: 0.3326, s0.loss_mask: 0.2733, s1.loss_cls: 0.1215, s1.acc: 91.5549, s1.loss_bbox: 0.1528, s1.loss_mask: 0.1305, s2.loss_cls: 0.0604, s2.acc: 91.4963, s2.loss_bbox: 0.0625, s2.loss_mask: 0.0611, loss: 1.5174 2023-11-13 17:15:23,556 - mmdet - INFO - Epoch [1][2450/7330] lr: 9.525e-06, eta: 15:49:48, time: 0.667, data_time: 0.029, memory: 30109, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0383, s0.loss_cls: 0.2438, s0.acc: 91.8286, s0.loss_bbox: 0.3358, s0.loss_mask: 0.2716, s1.loss_cls: 0.1216, s1.acc: 91.6833, s1.loss_bbox: 0.1535, s1.loss_mask: 0.1304, s2.loss_cls: 0.0609, s2.acc: 91.5375, s2.loss_bbox: 0.0631, s2.loss_mask: 0.0608, loss: 1.5218 2023-11-13 17:15:56,972 - mmdet - INFO - Epoch [1][2500/7330] lr: 9.525e-06, eta: 15:49:19, time: 0.668, data_time: 0.027, memory: 30109, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0422, s0.loss_cls: 0.2514, s0.acc: 91.5708, s0.loss_bbox: 0.3380, s0.loss_mask: 0.2847, s1.loss_cls: 0.1274, s1.acc: 91.3989, s1.loss_bbox: 0.1544, s1.loss_mask: 0.1358, s2.loss_cls: 0.0624, s2.acc: 91.3918, s2.loss_bbox: 0.0622, s2.loss_mask: 0.0632, loss: 1.5634 2023-11-13 17:16:30,465 - mmdet - INFO - Epoch [1][2550/7330] lr: 9.525e-06, eta: 15:48:51, time: 0.670, data_time: 0.024, memory: 30109, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0371, s0.loss_cls: 0.2449, s0.acc: 91.8176, s0.loss_bbox: 0.3256, s0.loss_mask: 0.2758, s1.loss_cls: 0.1211, s1.acc: 91.6578, s1.loss_bbox: 0.1488, s1.loss_mask: 0.1303, s2.loss_cls: 0.0586, s2.acc: 91.6764, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0602, loss: 1.5018 2023-11-13 17:17:04,076 - mmdet - INFO - Epoch [1][2600/7330] lr: 9.525e-06, eta: 15:48:27, time: 0.672, data_time: 0.026, memory: 30109, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0407, s0.loss_cls: 0.2440, s0.acc: 91.8279, s0.loss_bbox: 0.3322, s0.loss_mask: 0.2830, s1.loss_cls: 0.1226, s1.acc: 91.6771, s1.loss_bbox: 0.1513, s1.loss_mask: 0.1352, s2.loss_cls: 0.0597, s2.acc: 91.7535, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0627, loss: 1.5333 2023-11-13 17:17:37,339 - mmdet - INFO - Epoch [1][2650/7330] lr: 9.525e-06, eta: 15:47:51, time: 0.665, data_time: 0.025, memory: 30109, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0383, s0.loss_cls: 0.2245, s0.acc: 92.3838, s0.loss_bbox: 0.3135, s0.loss_mask: 0.2678, s1.loss_cls: 0.1105, s1.acc: 92.3917, s1.loss_bbox: 0.1442, s1.loss_mask: 0.1294, s2.loss_cls: 0.0543, s2.acc: 92.3578, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0610, loss: 1.4429 2023-11-13 17:18:10,728 - mmdet - INFO - Epoch [1][2700/7330] lr: 9.525e-06, eta: 15:47:19, time: 0.668, data_time: 0.024, memory: 30109, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0368, s0.loss_cls: 0.2374, s0.acc: 91.8875, s0.loss_bbox: 0.3333, s0.loss_mask: 0.2722, s1.loss_cls: 0.1179, s1.acc: 91.7365, s1.loss_bbox: 0.1524, s1.loss_mask: 0.1309, s2.loss_cls: 0.0581, s2.acc: 91.6177, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0611, loss: 1.5026 2023-11-13 17:18:44,185 - mmdet - INFO - Epoch [1][2750/7330] lr: 9.525e-06, eta: 15:46:50, time: 0.669, data_time: 0.023, memory: 30109, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0384, s0.loss_cls: 0.2287, s0.acc: 92.3005, s0.loss_bbox: 0.3143, s0.loss_mask: 0.2705, s1.loss_cls: 0.1140, s1.acc: 92.0981, s1.loss_bbox: 0.1460, s1.loss_mask: 0.1317, s2.loss_cls: 0.0561, s2.acc: 92.0688, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0617, loss: 1.4602 2023-11-13 17:19:17,864 - mmdet - INFO - Epoch [1][2800/7330] lr: 9.525e-06, eta: 15:46:27, time: 0.674, data_time: 0.028, memory: 30109, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0393, s0.loss_cls: 0.2393, s0.acc: 91.8401, s0.loss_bbox: 0.3327, s0.loss_mask: 0.2755, s1.loss_cls: 0.1195, s1.acc: 91.8040, s1.loss_bbox: 0.1519, s1.loss_mask: 0.1320, s2.loss_cls: 0.0585, s2.acc: 91.7148, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0612, loss: 1.5142 2023-11-13 17:19:51,351 - mmdet - INFO - Epoch [1][2850/7330] lr: 9.525e-06, eta: 15:45:58, time: 0.670, data_time: 0.023, memory: 30109, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0397, s0.loss_cls: 0.2363, s0.acc: 91.9197, s0.loss_bbox: 0.3301, s0.loss_mask: 0.2760, s1.loss_cls: 0.1181, s1.acc: 91.8109, s1.loss_bbox: 0.1512, s1.loss_mask: 0.1320, s2.loss_cls: 0.0582, s2.acc: 91.6850, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0613, loss: 1.5043 2023-11-13 17:20:24,546 - mmdet - INFO - Epoch [1][2900/7330] lr: 9.525e-06, eta: 15:45:20, time: 0.664, data_time: 0.025, memory: 30109, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0384, s0.loss_cls: 0.2316, s0.acc: 92.2080, s0.loss_bbox: 0.3264, s0.loss_mask: 0.2757, s1.loss_cls: 0.1139, s1.acc: 92.1813, s1.loss_bbox: 0.1480, s1.loss_mask: 0.1326, s2.loss_cls: 0.0555, s2.acc: 92.1338, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0622, loss: 1.4858 2023-11-13 17:20:58,226 - mmdet - INFO - Epoch [1][2950/7330] lr: 9.525e-06, eta: 15:44:57, time: 0.674, data_time: 0.024, memory: 30109, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0400, s0.loss_cls: 0.2275, s0.acc: 92.2451, s0.loss_bbox: 0.3242, s0.loss_mask: 0.2711, s1.loss_cls: 0.1126, s1.acc: 92.2323, s1.loss_bbox: 0.1489, s1.loss_mask: 0.1300, s2.loss_cls: 0.0561, s2.acc: 91.9643, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0605, loss: 1.4690 2023-11-13 17:21:31,668 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 17:21:31,669 - mmdet - INFO - Epoch [1][3000/7330] lr: 9.525e-06, eta: 15:44:26, time: 0.669, data_time: 0.030, memory: 30109, loss_rpn_cls: 0.0404, loss_rpn_bbox: 0.0379, s0.loss_cls: 0.2256, s0.acc: 92.4470, s0.loss_bbox: 0.3170, s0.loss_mask: 0.2749, s1.loss_cls: 0.1116, s1.acc: 92.2915, s1.loss_bbox: 0.1461, s1.loss_mask: 0.1314, s2.loss_cls: 0.0546, s2.acc: 92.3022, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0610, loss: 1.4604 2023-11-13 17:22:04,935 - mmdet - INFO - Epoch [1][3050/7330] lr: 9.525e-06, eta: 15:43:50, time: 0.665, data_time: 0.024, memory: 30109, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0370, s0.loss_cls: 0.2238, s0.acc: 92.4326, s0.loss_bbox: 0.3146, s0.loss_mask: 0.2734, s1.loss_cls: 0.1105, s1.acc: 92.3957, s1.loss_bbox: 0.1448, s1.loss_mask: 0.1304, s2.loss_cls: 0.0545, s2.acc: 92.3785, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0608, loss: 1.4469 2023-11-13 17:22:38,172 - mmdet - INFO - Epoch [1][3100/7330] lr: 9.525e-06, eta: 15:43:14, time: 0.665, data_time: 0.023, memory: 30109, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0363, s0.loss_cls: 0.2229, s0.acc: 92.5159, s0.loss_bbox: 0.3175, s0.loss_mask: 0.2747, s1.loss_cls: 0.1116, s1.acc: 92.3083, s1.loss_bbox: 0.1450, s1.loss_mask: 0.1302, s2.loss_cls: 0.0557, s2.acc: 92.1299, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0609, loss: 1.4539 2023-11-13 17:23:11,692 - mmdet - INFO - Epoch [1][3150/7330] lr: 9.525e-06, eta: 15:42:45, time: 0.670, data_time: 0.027, memory: 30109, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0364, s0.loss_cls: 0.2210, s0.acc: 92.4846, s0.loss_bbox: 0.3187, s0.loss_mask: 0.2660, s1.loss_cls: 0.1099, s1.acc: 92.4323, s1.loss_bbox: 0.1457, s1.loss_mask: 0.1287, s2.loss_cls: 0.0546, s2.acc: 92.2518, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0606, loss: 1.4408 2023-11-13 17:23:44,663 - mmdet - INFO - Epoch [1][3200/7330] lr: 9.525e-06, eta: 15:42:02, time: 0.659, data_time: 0.022, memory: 30109, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0358, s0.loss_cls: 0.2195, s0.acc: 92.6267, s0.loss_bbox: 0.3062, s0.loss_mask: 0.2657, s1.loss_cls: 0.1106, s1.acc: 92.4393, s1.loss_bbox: 0.1411, s1.loss_mask: 0.1274, s2.loss_cls: 0.0545, s2.acc: 92.2600, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0597, loss: 1.4159 2023-11-13 17:24:17,847 - mmdet - INFO - Epoch [1][3250/7330] lr: 9.525e-06, eta: 15:41:25, time: 0.664, data_time: 0.026, memory: 30109, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0367, s0.loss_cls: 0.2273, s0.acc: 92.2473, s0.loss_bbox: 0.3212, s0.loss_mask: 0.2654, s1.loss_cls: 0.1141, s1.acc: 92.0411, s1.loss_bbox: 0.1475, s1.loss_mask: 0.1271, s2.loss_cls: 0.0572, s2.acc: 91.7570, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0592, loss: 1.4511 2023-11-13 17:24:51,964 - mmdet - INFO - Epoch [1][3300/7330] lr: 9.525e-06, eta: 15:41:11, time: 0.682, data_time: 0.032, memory: 30109, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0380, s0.loss_cls: 0.2278, s0.acc: 92.1204, s0.loss_bbox: 0.3231, s0.loss_mask: 0.2738, s1.loss_cls: 0.1139, s1.acc: 91.9709, s1.loss_bbox: 0.1460, s1.loss_mask: 0.1324, s2.loss_cls: 0.0563, s2.acc: 91.9697, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0617, loss: 1.4732 2023-11-13 17:25:25,668 - mmdet - INFO - Epoch [1][3350/7330] lr: 9.525e-06, eta: 15:40:47, time: 0.674, data_time: 0.027, memory: 30109, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0383, s0.loss_cls: 0.2302, s0.acc: 92.2559, s0.loss_bbox: 0.3195, s0.loss_mask: 0.2589, s1.loss_cls: 0.1144, s1.acc: 92.2314, s1.loss_bbox: 0.1478, s1.loss_mask: 0.1254, s2.loss_cls: 0.0577, s2.acc: 91.9139, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0586, loss: 1.4489 2023-11-13 17:25:59,094 - mmdet - INFO - Epoch [1][3400/7330] lr: 9.525e-06, eta: 15:40:15, time: 0.668, data_time: 0.024, memory: 30109, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0368, s0.loss_cls: 0.2355, s0.acc: 92.0200, s0.loss_bbox: 0.3241, s0.loss_mask: 0.2707, s1.loss_cls: 0.1172, s1.acc: 91.8304, s1.loss_bbox: 0.1485, s1.loss_mask: 0.1294, s2.loss_cls: 0.0570, s2.acc: 91.8904, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0605, loss: 1.4777 2023-11-13 17:26:32,418 - mmdet - INFO - Epoch [1][3450/7330] lr: 9.525e-06, eta: 15:39:41, time: 0.667, data_time: 0.023, memory: 30109, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0327, s0.loss_cls: 0.2270, s0.acc: 92.3618, s0.loss_bbox: 0.3142, s0.loss_mask: 0.2641, s1.loss_cls: 0.1120, s1.acc: 92.3144, s1.loss_bbox: 0.1447, s1.loss_mask: 0.1265, s2.loss_cls: 0.0557, s2.acc: 92.0776, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0591, loss: 1.4336 2023-11-13 17:27:06,280 - mmdet - INFO - Epoch [1][3500/7330] lr: 9.525e-06, eta: 15:39:20, time: 0.677, data_time: 0.027, memory: 30109, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0375, s0.loss_cls: 0.2326, s0.acc: 92.1387, s0.loss_bbox: 0.3216, s0.loss_mask: 0.2671, s1.loss_cls: 0.1151, s1.acc: 91.9499, s1.loss_bbox: 0.1460, s1.loss_mask: 0.1287, s2.loss_cls: 0.0565, s2.acc: 92.0323, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0600, loss: 1.4635 2023-11-13 17:27:39,941 - mmdet - INFO - Epoch [1][3550/7330] lr: 9.525e-06, eta: 15:38:53, time: 0.673, data_time: 0.026, memory: 30109, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0380, s0.loss_cls: 0.2329, s0.acc: 91.8911, s0.loss_bbox: 0.3319, s0.loss_mask: 0.2651, s1.loss_cls: 0.1167, s1.acc: 91.7277, s1.loss_bbox: 0.1509, s1.loss_mask: 0.1286, s2.loss_cls: 0.0582, s2.acc: 91.6106, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0604, loss: 1.4826 2023-11-13 17:28:13,605 - mmdet - INFO - Epoch [1][3600/7330] lr: 9.525e-06, eta: 15:38:27, time: 0.673, data_time: 0.031, memory: 30109, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0370, s0.loss_cls: 0.2344, s0.acc: 92.0256, s0.loss_bbox: 0.3224, s0.loss_mask: 0.2612, s1.loss_cls: 0.1171, s1.acc: 91.9955, s1.loss_bbox: 0.1473, s1.loss_mask: 0.1259, s2.loss_cls: 0.0581, s2.acc: 91.8850, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0585, loss: 1.4612 2023-11-13 17:28:46,999 - mmdet - INFO - Epoch [1][3650/7330] lr: 9.525e-06, eta: 15:37:54, time: 0.668, data_time: 0.029, memory: 30109, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0377, s0.loss_cls: 0.2245, s0.acc: 92.2737, s0.loss_bbox: 0.3116, s0.loss_mask: 0.2627, s1.loss_cls: 0.1115, s1.acc: 92.2180, s1.loss_bbox: 0.1442, s1.loss_mask: 0.1266, s2.loss_cls: 0.0550, s2.acc: 92.1436, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0590, loss: 1.4294 2023-11-13 17:29:20,578 - mmdet - INFO - Epoch [1][3700/7330] lr: 9.525e-06, eta: 15:37:25, time: 0.671, data_time: 0.028, memory: 30109, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0356, s0.loss_cls: 0.2285, s0.acc: 92.2090, s0.loss_bbox: 0.3146, s0.loss_mask: 0.2646, s1.loss_cls: 0.1129, s1.acc: 92.1396, s1.loss_bbox: 0.1430, s1.loss_mask: 0.1269, s2.loss_cls: 0.0563, s2.acc: 92.0180, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0591, loss: 1.4390 2023-11-13 17:29:53,785 - mmdet - INFO - Epoch [1][3750/7330] lr: 9.525e-06, eta: 15:36:48, time: 0.664, data_time: 0.023, memory: 30109, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0339, s0.loss_cls: 0.2092, s0.acc: 92.8291, s0.loss_bbox: 0.3079, s0.loss_mask: 0.2572, s1.loss_cls: 0.1044, s1.acc: 92.7573, s1.loss_bbox: 0.1432, s1.loss_mask: 0.1247, s2.loss_cls: 0.0519, s2.acc: 92.5687, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0580, loss: 1.3854 2023-11-13 17:30:27,166 - mmdet - INFO - Epoch [1][3800/7330] lr: 9.525e-06, eta: 15:36:15, time: 0.667, data_time: 0.026, memory: 30109, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0374, s0.loss_cls: 0.2388, s0.acc: 91.9382, s0.loss_bbox: 0.3294, s0.loss_mask: 0.2678, s1.loss_cls: 0.1185, s1.acc: 91.8786, s1.loss_bbox: 0.1494, s1.loss_mask: 0.1287, s2.loss_cls: 0.0588, s2.acc: 91.7464, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0600, loss: 1.4871 2023-11-13 17:31:00,815 - mmdet - INFO - Epoch [1][3850/7330] lr: 9.525e-06, eta: 15:35:47, time: 0.673, data_time: 0.024, memory: 30109, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0387, s0.loss_cls: 0.2238, s0.acc: 92.2368, s0.loss_bbox: 0.3207, s0.loss_mask: 0.2636, s1.loss_cls: 0.1122, s1.acc: 92.0226, s1.loss_bbox: 0.1470, s1.loss_mask: 0.1268, s2.loss_cls: 0.0557, s2.acc: 91.8915, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0593, loss: 1.4446 2023-11-13 17:31:34,230 - mmdet - INFO - Epoch [1][3900/7330] lr: 9.525e-06, eta: 15:35:15, time: 0.668, data_time: 0.029, memory: 30109, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0345, s0.loss_cls: 0.2115, s0.acc: 92.7129, s0.loss_bbox: 0.3066, s0.loss_mask: 0.2647, s1.loss_cls: 0.1048, s1.acc: 92.5430, s1.loss_bbox: 0.1412, s1.loss_mask: 0.1274, s2.loss_cls: 0.0528, s2.acc: 92.2923, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0594, loss: 1.3966 2023-11-13 17:32:07,545 - mmdet - INFO - Epoch [1][3950/7330] lr: 9.525e-06, eta: 15:34:40, time: 0.666, data_time: 0.026, memory: 30109, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0368, s0.loss_cls: 0.2273, s0.acc: 92.2063, s0.loss_bbox: 0.3231, s0.loss_mask: 0.2727, s1.loss_cls: 0.1115, s1.acc: 92.2676, s1.loss_bbox: 0.1453, s1.loss_mask: 0.1308, s2.loss_cls: 0.0560, s2.acc: 92.0684, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0608, loss: 1.4660 2023-11-13 17:32:40,468 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 17:32:40,468 - mmdet - INFO - Epoch [1][4000/7330] lr: 9.525e-06, eta: 15:33:57, time: 0.659, data_time: 0.022, memory: 30123, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0339, s0.loss_cls: 0.2147, s0.acc: 92.8320, s0.loss_bbox: 0.2989, s0.loss_mask: 0.2602, s1.loss_cls: 0.1059, s1.acc: 92.8145, s1.loss_bbox: 0.1366, s1.loss_mask: 0.1251, s2.loss_cls: 0.0519, s2.acc: 92.7605, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0586, loss: 1.3780 2023-11-13 17:33:14,384 - mmdet - INFO - Epoch [1][4050/7330] lr: 9.525e-06, eta: 15:33:35, time: 0.678, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0347, s0.loss_cls: 0.2143, s0.acc: 92.5312, s0.loss_bbox: 0.3062, s0.loss_mask: 0.2608, s1.loss_cls: 0.1078, s1.acc: 92.4530, s1.loss_bbox: 0.1397, s1.loss_mask: 0.1267, s2.loss_cls: 0.0533, s2.acc: 92.3952, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0596, loss: 1.3956 2023-11-13 17:33:48,469 - mmdet - INFO - Epoch [1][4100/7330] lr: 9.525e-06, eta: 15:33:16, time: 0.682, data_time: 0.030, memory: 30131, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0368, s0.loss_cls: 0.2272, s0.acc: 92.2856, s0.loss_bbox: 0.3142, s0.loss_mask: 0.2627, s1.loss_cls: 0.1127, s1.acc: 92.1983, s1.loss_bbox: 0.1434, s1.loss_mask: 0.1272, s2.loss_cls: 0.0558, s2.acc: 92.0675, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0595, loss: 1.4352 2023-11-13 17:34:22,540 - mmdet - INFO - Epoch [1][4150/7330] lr: 9.525e-06, eta: 15:32:56, time: 0.681, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0343, s0.loss_cls: 0.2239, s0.acc: 92.4221, s0.loss_bbox: 0.3066, s0.loss_mask: 0.2576, s1.loss_cls: 0.1111, s1.acc: 92.3598, s1.loss_bbox: 0.1411, s1.loss_mask: 0.1245, s2.loss_cls: 0.0557, s2.acc: 92.0931, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0587, loss: 1.4062 2023-11-13 17:34:56,334 - mmdet - INFO - Epoch [1][4200/7330] lr: 9.525e-06, eta: 15:32:31, time: 0.676, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0370, s0.loss_cls: 0.2124, s0.acc: 92.4714, s0.loss_bbox: 0.3138, s0.loss_mask: 0.2637, s1.loss_cls: 0.1067, s1.acc: 92.2419, s1.loss_bbox: 0.1436, s1.loss_mask: 0.1272, s2.loss_cls: 0.0536, s2.acc: 92.1312, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0588, loss: 1.4111 2023-11-13 17:35:29,621 - mmdet - INFO - Epoch [1][4250/7330] lr: 9.525e-06, eta: 15:31:55, time: 0.666, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0362, s0.loss_cls: 0.2146, s0.acc: 92.7300, s0.loss_bbox: 0.3029, s0.loss_mask: 0.2615, s1.loss_cls: 0.1053, s1.acc: 92.6822, s1.loss_bbox: 0.1387, s1.loss_mask: 0.1259, s2.loss_cls: 0.0529, s2.acc: 92.5428, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0588, loss: 1.3908 2023-11-13 17:36:02,827 - mmdet - INFO - Epoch [1][4300/7330] lr: 9.525e-06, eta: 15:31:18, time: 0.664, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0365, s0.loss_cls: 0.2169, s0.acc: 92.4690, s0.loss_bbox: 0.3158, s0.loss_mask: 0.2627, s1.loss_cls: 0.1081, s1.acc: 92.3658, s1.loss_bbox: 0.1453, s1.loss_mask: 0.1263, s2.loss_cls: 0.0539, s2.acc: 92.1508, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0590, loss: 1.4203 2023-11-13 17:36:35,907 - mmdet - INFO - Epoch [1][4350/7330] lr: 9.525e-06, eta: 15:30:39, time: 0.662, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0342, s0.loss_cls: 0.2096, s0.acc: 92.7131, s0.loss_bbox: 0.3038, s0.loss_mask: 0.2573, s1.loss_cls: 0.1043, s1.acc: 92.5511, s1.loss_bbox: 0.1405, s1.loss_mask: 0.1244, s2.loss_cls: 0.0523, s2.acc: 92.3990, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0585, loss: 1.3783 2023-11-13 17:37:09,771 - mmdet - INFO - Epoch [1][4400/7330] lr: 9.525e-06, eta: 15:30:14, time: 0.677, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0338, s0.loss_cls: 0.2118, s0.acc: 92.6418, s0.loss_bbox: 0.3022, s0.loss_mask: 0.2581, s1.loss_cls: 0.1062, s1.acc: 92.5048, s1.loss_bbox: 0.1386, s1.loss_mask: 0.1239, s2.loss_cls: 0.0532, s2.acc: 92.4300, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0581, loss: 1.3796 2023-11-13 17:37:42,917 - mmdet - INFO - Epoch [1][4450/7330] lr: 9.525e-06, eta: 15:29:36, time: 0.663, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0332, s0.loss_cls: 0.2160, s0.acc: 92.5942, s0.loss_bbox: 0.3097, s0.loss_mask: 0.2599, s1.loss_cls: 0.1090, s1.acc: 92.4333, s1.loss_bbox: 0.1416, s1.loss_mask: 0.1258, s2.loss_cls: 0.0547, s2.acc: 92.1544, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0585, loss: 1.4035 2023-11-13 17:38:16,457 - mmdet - INFO - Epoch [1][4500/7330] lr: 9.525e-06, eta: 15:29:06, time: 0.671, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0332, s0.loss_cls: 0.2077, s0.acc: 92.7786, s0.loss_bbox: 0.3058, s0.loss_mask: 0.2572, s1.loss_cls: 0.1034, s1.acc: 92.5937, s1.loss_bbox: 0.1393, s1.loss_mask: 0.1244, s2.loss_cls: 0.0518, s2.acc: 92.4307, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0581, loss: 1.3742 2023-11-13 17:38:50,375 - mmdet - INFO - Epoch [1][4550/7330] lr: 9.525e-06, eta: 15:28:42, time: 0.678, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0347, s0.loss_cls: 0.2199, s0.acc: 92.5520, s0.loss_bbox: 0.3070, s0.loss_mask: 0.2657, s1.loss_cls: 0.1099, s1.acc: 92.4185, s1.loss_bbox: 0.1423, s1.loss_mask: 0.1277, s2.loss_cls: 0.0550, s2.acc: 92.2221, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0596, loss: 1.4167 2023-11-13 17:39:23,650 - mmdet - INFO - Epoch [1][4600/7330] lr: 9.525e-06, eta: 15:28:06, time: 0.666, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0361, s0.loss_cls: 0.2116, s0.acc: 92.5510, s0.loss_bbox: 0.3138, s0.loss_mask: 0.2574, s1.loss_cls: 0.1054, s1.acc: 92.4227, s1.loss_bbox: 0.1439, s1.loss_mask: 0.1235, s2.loss_cls: 0.0530, s2.acc: 92.1951, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0576, loss: 1.3975 2023-11-13 17:39:57,018 - mmdet - INFO - Epoch [1][4650/7330] lr: 9.525e-06, eta: 15:27:32, time: 0.667, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0359, s0.loss_cls: 0.2123, s0.acc: 92.5945, s0.loss_bbox: 0.3140, s0.loss_mask: 0.2639, s1.loss_cls: 0.1060, s1.acc: 92.5187, s1.loss_bbox: 0.1439, s1.loss_mask: 0.1265, s2.loss_cls: 0.0531, s2.acc: 92.3103, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0591, loss: 1.4136 2023-11-13 17:40:39,453 - mmdet - INFO - Epoch [1][4700/7330] lr: 9.525e-06, eta: 15:29:39, time: 0.849, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0323, s0.loss_cls: 0.2187, s0.acc: 92.5823, s0.loss_bbox: 0.3064, s0.loss_mask: 0.2571, s1.loss_cls: 0.1077, s1.acc: 92.4913, s1.loss_bbox: 0.1414, s1.loss_mask: 0.1237, s2.loss_cls: 0.0535, s2.acc: 92.3439, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0575, loss: 1.3898 2023-11-13 17:41:15,433 - mmdet - INFO - Epoch [1][4750/7330] lr: 9.525e-06, eta: 15:29:49, time: 0.720, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0337, s0.loss_cls: 0.2093, s0.acc: 92.7383, s0.loss_bbox: 0.3047, s0.loss_mask: 0.2599, s1.loss_cls: 0.1051, s1.acc: 92.6111, s1.loss_bbox: 0.1398, s1.loss_mask: 0.1251, s2.loss_cls: 0.0527, s2.acc: 92.4109, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0583, loss: 1.3799 2023-11-13 17:41:49,222 - mmdet - INFO - Epoch [1][4800/7330] lr: 9.525e-06, eta: 15:29:20, time: 0.676, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0337, s0.loss_cls: 0.2086, s0.acc: 92.8137, s0.loss_bbox: 0.2970, s0.loss_mask: 0.2615, s1.loss_cls: 0.1039, s1.acc: 92.6908, s1.loss_bbox: 0.1370, s1.loss_mask: 0.1265, s2.loss_cls: 0.0518, s2.acc: 92.5629, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0598, loss: 1.3713 2023-11-13 17:42:22,577 - mmdet - INFO - Epoch [1][4850/7330] lr: 9.525e-06, eta: 15:28:43, time: 0.667, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0347, s0.loss_cls: 0.2156, s0.acc: 92.5938, s0.loss_bbox: 0.3013, s0.loss_mask: 0.2570, s1.loss_cls: 0.1079, s1.acc: 92.5079, s1.loss_bbox: 0.1371, s1.loss_mask: 0.1237, s2.loss_cls: 0.0533, s2.acc: 92.3398, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0578, loss: 1.3831 2023-11-13 17:42:56,606 - mmdet - INFO - Epoch [1][4900/7330] lr: 9.525e-06, eta: 15:28:18, time: 0.681, data_time: 0.032, memory: 30131, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0345, s0.loss_cls: 0.2094, s0.acc: 92.8372, s0.loss_bbox: 0.3042, s0.loss_mask: 0.2552, s1.loss_cls: 0.1044, s1.acc: 92.6410, s1.loss_bbox: 0.1409, s1.loss_mask: 0.1239, s2.loss_cls: 0.0521, s2.acc: 92.4725, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0582, loss: 1.3746 2023-11-13 17:43:30,151 - mmdet - INFO - Epoch [1][4950/7330] lr: 9.525e-06, eta: 15:27:45, time: 0.671, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0328, s0.loss_cls: 0.2088, s0.acc: 92.7488, s0.loss_bbox: 0.2980, s0.loss_mask: 0.2558, s1.loss_cls: 0.1056, s1.acc: 92.4681, s1.loss_bbox: 0.1380, s1.loss_mask: 0.1241, s2.loss_cls: 0.0520, s2.acc: 92.5289, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0577, loss: 1.3609 2023-11-13 17:44:03,825 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 17:44:03,825 - mmdet - INFO - Epoch [1][5000/7330] lr: 9.525e-06, eta: 15:27:14, time: 0.673, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0338, s0.loss_cls: 0.2082, s0.acc: 92.8413, s0.loss_bbox: 0.2912, s0.loss_mask: 0.2549, s1.loss_cls: 0.1056, s1.acc: 92.6093, s1.loss_bbox: 0.1338, s1.loss_mask: 0.1224, s2.loss_cls: 0.0521, s2.acc: 92.5660, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0568, loss: 1.3484 2023-11-13 17:44:37,102 - mmdet - INFO - Epoch [1][5050/7330] lr: 9.525e-06, eta: 15:26:36, time: 0.666, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0351, s0.loss_cls: 0.2153, s0.acc: 92.5881, s0.loss_bbox: 0.3047, s0.loss_mask: 0.2561, s1.loss_cls: 0.1079, s1.acc: 92.4175, s1.loss_bbox: 0.1412, s1.loss_mask: 0.1229, s2.loss_cls: 0.0537, s2.acc: 92.2817, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0574, loss: 1.3861 2023-11-13 17:45:11,047 - mmdet - INFO - Epoch [1][5100/7330] lr: 9.525e-06, eta: 15:26:09, time: 0.679, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0404, loss_rpn_bbox: 0.0371, s0.loss_cls: 0.2160, s0.acc: 92.6643, s0.loss_bbox: 0.3041, s0.loss_mask: 0.2566, s1.loss_cls: 0.1063, s1.acc: 92.6684, s1.loss_bbox: 0.1394, s1.loss_mask: 0.1245, s2.loss_cls: 0.0530, s2.acc: 92.5169, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0584, loss: 1.3926 2023-11-13 17:45:44,861 - mmdet - INFO - Epoch [1][5150/7330] lr: 9.525e-06, eta: 15:25:40, time: 0.676, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0348, s0.loss_cls: 0.2185, s0.acc: 92.5264, s0.loss_bbox: 0.3049, s0.loss_mask: 0.2585, s1.loss_cls: 0.1093, s1.acc: 92.4118, s1.loss_bbox: 0.1387, s1.loss_mask: 0.1262, s2.loss_cls: 0.0541, s2.acc: 92.2125, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0586, loss: 1.3962 2023-11-13 17:46:18,568 - mmdet - INFO - Epoch [1][5200/7330] lr: 9.525e-06, eta: 15:25:10, time: 0.674, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0305, s0.loss_cls: 0.2009, s0.acc: 92.9587, s0.loss_bbox: 0.2945, s0.loss_mask: 0.2528, s1.loss_cls: 0.1014, s1.acc: 92.8102, s1.loss_bbox: 0.1367, s1.loss_mask: 0.1222, s2.loss_cls: 0.0509, s2.acc: 92.6066, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0571, loss: 1.3363 2023-11-13 17:46:52,095 - mmdet - INFO - Epoch [1][5250/7330] lr: 9.525e-06, eta: 15:24:36, time: 0.671, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0324, s0.loss_cls: 0.2113, s0.acc: 92.8555, s0.loss_bbox: 0.2926, s0.loss_mask: 0.2555, s1.loss_cls: 0.1058, s1.acc: 92.7031, s1.loss_bbox: 0.1358, s1.loss_mask: 0.1243, s2.loss_cls: 0.0524, s2.acc: 92.4396, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0583, loss: 1.3582 2023-11-13 17:47:26,470 - mmdet - INFO - Epoch [1][5300/7330] lr: 9.525e-06, eta: 15:24:15, time: 0.687, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0348, s0.loss_cls: 0.2265, s0.acc: 92.2700, s0.loss_bbox: 0.3076, s0.loss_mask: 0.2632, s1.loss_cls: 0.1125, s1.acc: 92.2047, s1.loss_bbox: 0.1398, s1.loss_mask: 0.1272, s2.loss_cls: 0.0562, s2.acc: 92.1276, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0597, loss: 1.4223 2023-11-13 17:48:00,238 - mmdet - INFO - Epoch [1][5350/7330] lr: 9.525e-06, eta: 15:23:45, time: 0.675, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0334, s0.loss_cls: 0.2157, s0.acc: 92.4773, s0.loss_bbox: 0.3034, s0.loss_mask: 0.2539, s1.loss_cls: 0.1086, s1.acc: 92.2811, s1.loss_bbox: 0.1386, s1.loss_mask: 0.1230, s2.loss_cls: 0.0547, s2.acc: 92.1389, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0576, loss: 1.3790 2023-11-13 17:48:33,968 - mmdet - INFO - Epoch [1][5400/7330] lr: 9.525e-06, eta: 15:23:14, time: 0.675, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0334, s0.loss_cls: 0.2202, s0.acc: 92.4487, s0.loss_bbox: 0.3022, s0.loss_mask: 0.2575, s1.loss_cls: 0.1069, s1.acc: 92.4986, s1.loss_bbox: 0.1386, s1.loss_mask: 0.1241, s2.loss_cls: 0.0528, s2.acc: 92.5243, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0579, loss: 1.3870 2023-11-13 17:49:07,547 - mmdet - INFO - Epoch [1][5450/7330] lr: 9.525e-06, eta: 15:22:41, time: 0.672, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0335, s0.loss_cls: 0.2124, s0.acc: 92.7161, s0.loss_bbox: 0.2972, s0.loss_mask: 0.2530, s1.loss_cls: 0.1042, s1.acc: 92.7509, s1.loss_bbox: 0.1360, s1.loss_mask: 0.1213, s2.loss_cls: 0.0515, s2.acc: 92.6970, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0565, loss: 1.3561 2023-11-13 17:49:40,993 - mmdet - INFO - Epoch [1][5500/7330] lr: 9.525e-06, eta: 15:22:06, time: 0.669, data_time: 0.031, memory: 30131, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0344, s0.loss_cls: 0.2185, s0.acc: 92.4292, s0.loss_bbox: 0.3038, s0.loss_mask: 0.2610, s1.loss_cls: 0.1106, s1.acc: 92.1622, s1.loss_bbox: 0.1391, s1.loss_mask: 0.1267, s2.loss_cls: 0.0551, s2.acc: 92.0957, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0592, loss: 1.3990 2023-11-13 17:50:14,177 - mmdet - INFO - Epoch [1][5550/7330] lr: 9.525e-06, eta: 15:21:27, time: 0.664, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0342, s0.loss_cls: 0.2078, s0.acc: 92.7429, s0.loss_bbox: 0.2995, s0.loss_mask: 0.2542, s1.loss_cls: 0.1043, s1.acc: 92.6534, s1.loss_bbox: 0.1365, s1.loss_mask: 0.1233, s2.loss_cls: 0.0522, s2.acc: 92.4370, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0575, loss: 1.3610 2023-11-13 17:50:48,067 - mmdet - INFO - Epoch [1][5600/7330] lr: 9.525e-06, eta: 15:20:59, time: 0.678, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0345, s0.loss_cls: 0.2120, s0.acc: 92.7361, s0.loss_bbox: 0.2987, s0.loss_mask: 0.2537, s1.loss_cls: 0.1063, s1.acc: 92.4233, s1.loss_bbox: 0.1355, s1.loss_mask: 0.1220, s2.loss_cls: 0.0530, s2.acc: 92.3005, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0568, loss: 1.3644 2023-11-13 17:51:21,741 - mmdet - INFO - Epoch [1][5650/7330] lr: 9.525e-06, eta: 15:20:27, time: 0.673, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0322, s0.loss_cls: 0.1980, s0.acc: 93.1924, s0.loss_bbox: 0.2824, s0.loss_mask: 0.2518, s1.loss_cls: 0.1011, s1.acc: 92.8917, s1.loss_bbox: 0.1302, s1.loss_mask: 0.1232, s2.loss_cls: 0.0503, s2.acc: 92.7789, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0574, loss: 1.3146 2023-11-13 17:51:55,496 - mmdet - INFO - Epoch [1][5700/7330] lr: 9.525e-06, eta: 15:19:57, time: 0.675, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0338, s0.loss_cls: 0.2075, s0.acc: 92.8772, s0.loss_bbox: 0.2924, s0.loss_mask: 0.2561, s1.loss_cls: 0.1044, s1.acc: 92.6725, s1.loss_bbox: 0.1350, s1.loss_mask: 0.1250, s2.loss_cls: 0.0516, s2.acc: 92.5283, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0583, loss: 1.3546 2023-11-13 17:52:28,987 - mmdet - INFO - Epoch [1][5750/7330] lr: 9.525e-06, eta: 15:19:22, time: 0.670, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0310, s0.loss_cls: 0.2158, s0.acc: 92.6152, s0.loss_bbox: 0.3006, s0.loss_mask: 0.2527, s1.loss_cls: 0.1080, s1.acc: 92.3686, s1.loss_bbox: 0.1366, s1.loss_mask: 0.1229, s2.loss_cls: 0.0543, s2.acc: 92.0937, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0580, loss: 1.3714 2023-11-13 17:53:02,896 - mmdet - INFO - Epoch [1][5800/7330] lr: 9.525e-06, eta: 15:18:54, time: 0.678, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0349, s0.loss_cls: 0.2053, s0.acc: 92.8679, s0.loss_bbox: 0.2978, s0.loss_mask: 0.2520, s1.loss_cls: 0.1028, s1.acc: 92.8774, s1.loss_bbox: 0.1368, s1.loss_mask: 0.1236, s2.loss_cls: 0.0503, s2.acc: 92.8392, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0576, loss: 1.3532 2023-11-13 17:53:36,249 - mmdet - INFO - Epoch [1][5850/7330] lr: 9.525e-06, eta: 15:18:17, time: 0.667, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0320, s0.loss_cls: 0.1994, s0.acc: 93.0671, s0.loss_bbox: 0.2950, s0.loss_mask: 0.2543, s1.loss_cls: 0.0977, s1.acc: 93.0901, s1.loss_bbox: 0.1354, s1.loss_mask: 0.1230, s2.loss_cls: 0.0495, s2.acc: 92.8708, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0573, loss: 1.3342 2023-11-13 17:54:10,282 - mmdet - INFO - Epoch [1][5900/7330] lr: 9.525e-06, eta: 15:17:51, time: 0.681, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0371, s0.loss_cls: 0.2171, s0.acc: 92.4500, s0.loss_bbox: 0.3026, s0.loss_mask: 0.2535, s1.loss_cls: 0.1083, s1.acc: 92.2668, s1.loss_bbox: 0.1359, s1.loss_mask: 0.1215, s2.loss_cls: 0.0537, s2.acc: 92.1455, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0567, loss: 1.3823 2023-11-13 17:54:44,189 - mmdet - INFO - Epoch [1][5950/7330] lr: 9.525e-06, eta: 15:17:22, time: 0.678, data_time: 0.031, memory: 30131, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0371, s0.loss_cls: 0.2229, s0.acc: 92.2527, s0.loss_bbox: 0.3112, s0.loss_mask: 0.2595, s1.loss_cls: 0.1104, s1.acc: 92.2414, s1.loss_bbox: 0.1414, s1.loss_mask: 0.1257, s2.loss_cls: 0.0544, s2.acc: 92.1886, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0588, loss: 1.4156 2023-11-13 17:55:17,667 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 17:55:17,668 - mmdet - INFO - Epoch [1][6000/7330] lr: 9.525e-06, eta: 15:16:47, time: 0.670, data_time: 0.033, memory: 30131, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0330, s0.loss_cls: 0.2075, s0.acc: 92.8730, s0.loss_bbox: 0.2930, s0.loss_mask: 0.2532, s1.loss_cls: 0.1034, s1.acc: 92.6971, s1.loss_bbox: 0.1356, s1.loss_mask: 0.1234, s2.loss_cls: 0.0518, s2.acc: 92.5738, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0580, loss: 1.3484 2023-11-13 17:55:51,306 - mmdet - INFO - Epoch [1][6050/7330] lr: 9.525e-06, eta: 15:16:15, time: 0.673, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0360, s0.loss_cls: 0.2160, s0.acc: 92.5383, s0.loss_bbox: 0.3078, s0.loss_mask: 0.2624, s1.loss_cls: 0.1057, s1.acc: 92.5562, s1.loss_bbox: 0.1379, s1.loss_mask: 0.1263, s2.loss_cls: 0.0523, s2.acc: 92.4715, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0586, loss: 1.3953 2023-11-13 17:56:25,146 - mmdet - INFO - Epoch [1][6100/7330] lr: 9.525e-06, eta: 15:15:45, time: 0.677, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0322, s0.loss_cls: 0.1975, s0.acc: 93.1870, s0.loss_bbox: 0.2815, s0.loss_mask: 0.2467, s1.loss_cls: 0.0979, s1.acc: 93.1127, s1.loss_bbox: 0.1286, s1.loss_mask: 0.1195, s2.loss_cls: 0.0496, s2.acc: 92.9158, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0558, loss: 1.2953 2023-11-13 17:56:58,627 - mmdet - INFO - Epoch [1][6150/7330] lr: 9.525e-06, eta: 15:15:10, time: 0.670, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0314, s0.loss_cls: 0.2043, s0.acc: 93.0432, s0.loss_bbox: 0.2839, s0.loss_mask: 0.2524, s1.loss_cls: 0.1031, s1.acc: 92.7758, s1.loss_bbox: 0.1303, s1.loss_mask: 0.1229, s2.loss_cls: 0.0509, s2.acc: 92.6769, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0573, loss: 1.3224 2023-11-13 17:57:32,242 - mmdet - INFO - Epoch [1][6200/7330] lr: 9.525e-06, eta: 15:14:37, time: 0.672, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0345, s0.loss_cls: 0.2074, s0.acc: 92.7930, s0.loss_bbox: 0.2979, s0.loss_mask: 0.2588, s1.loss_cls: 0.1024, s1.acc: 92.6942, s1.loss_bbox: 0.1349, s1.loss_mask: 0.1250, s2.loss_cls: 0.0513, s2.acc: 92.6151, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0584, loss: 1.3602 2023-11-13 17:58:06,367 - mmdet - INFO - Epoch [1][6250/7330] lr: 9.525e-06, eta: 15:14:11, time: 0.682, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0340, s0.loss_cls: 0.2104, s0.acc: 92.6680, s0.loss_bbox: 0.3025, s0.loss_mask: 0.2565, s1.loss_cls: 0.1047, s1.acc: 92.5541, s1.loss_bbox: 0.1370, s1.loss_mask: 0.1253, s2.loss_cls: 0.0523, s2.acc: 92.4394, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0581, loss: 1.3715 2023-11-13 17:58:39,699 - mmdet - INFO - Epoch [1][6300/7330] lr: 9.525e-06, eta: 15:13:35, time: 0.667, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0312, s0.loss_cls: 0.2037, s0.acc: 92.8772, s0.loss_bbox: 0.2932, s0.loss_mask: 0.2554, s1.loss_cls: 0.1033, s1.acc: 92.6400, s1.loss_bbox: 0.1353, s1.loss_mask: 0.1244, s2.loss_cls: 0.0515, s2.acc: 92.4636, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0578, loss: 1.3431 2023-11-13 17:59:13,131 - mmdet - INFO - Epoch [1][6350/7330] lr: 9.525e-06, eta: 15:12:59, time: 0.669, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0313, s0.loss_cls: 0.2026, s0.acc: 93.0312, s0.loss_bbox: 0.2883, s0.loss_mask: 0.2482, s1.loss_cls: 0.1005, s1.acc: 92.9967, s1.loss_bbox: 0.1337, s1.loss_mask: 0.1213, s2.loss_cls: 0.0506, s2.acc: 92.8156, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0569, loss: 1.3210 2023-11-13 17:59:47,081 - mmdet - INFO - Epoch [1][6400/7330] lr: 9.525e-06, eta: 15:12:31, time: 0.679, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0339, s0.loss_cls: 0.2092, s0.acc: 92.8301, s0.loss_bbox: 0.2986, s0.loss_mask: 0.2528, s1.loss_cls: 0.1048, s1.acc: 92.7684, s1.loss_bbox: 0.1360, s1.loss_mask: 0.1221, s2.loss_cls: 0.0522, s2.acc: 92.5736, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0568, loss: 1.3568 2023-11-13 18:00:20,465 - mmdet - INFO - Epoch [1][6450/7330] lr: 9.525e-06, eta: 15:11:55, time: 0.668, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0329, s0.loss_cls: 0.2013, s0.acc: 93.1082, s0.loss_bbox: 0.2828, s0.loss_mask: 0.2579, s1.loss_cls: 0.1010, s1.acc: 92.9966, s1.loss_bbox: 0.1299, s1.loss_mask: 0.1244, s2.loss_cls: 0.0500, s2.acc: 92.9047, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0583, loss: 1.3273 2023-11-13 18:00:54,140 - mmdet - INFO - Epoch [1][6500/7330] lr: 9.525e-06, eta: 15:11:23, time: 0.674, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0329, s0.loss_cls: 0.2059, s0.acc: 92.8848, s0.loss_bbox: 0.2922, s0.loss_mask: 0.2546, s1.loss_cls: 0.1009, s1.acc: 92.9552, s1.loss_bbox: 0.1331, s1.loss_mask: 0.1244, s2.loss_cls: 0.0505, s2.acc: 92.7163, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0584, loss: 1.3429 2023-11-13 18:01:27,418 - mmdet - INFO - Epoch [1][6550/7330] lr: 9.525e-06, eta: 15:10:46, time: 0.666, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0323, s0.loss_cls: 0.2067, s0.acc: 92.8411, s0.loss_bbox: 0.2878, s0.loss_mask: 0.2503, s1.loss_cls: 0.1027, s1.acc: 92.6761, s1.loss_bbox: 0.1324, s1.loss_mask: 0.1222, s2.loss_cls: 0.0513, s2.acc: 92.6196, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0568, loss: 1.3315 2023-11-13 18:02:00,782 - mmdet - INFO - Epoch [1][6600/7330] lr: 9.525e-06, eta: 15:10:10, time: 0.667, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0321, s0.loss_cls: 0.2001, s0.acc: 92.9285, s0.loss_bbox: 0.2930, s0.loss_mask: 0.2491, s1.loss_cls: 0.0989, s1.acc: 92.9648, s1.loss_bbox: 0.1337, s1.loss_mask: 0.1211, s2.loss_cls: 0.0496, s2.acc: 92.7978, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0564, loss: 1.3236 2023-11-13 18:02:34,175 - mmdet - INFO - Epoch [1][6650/7330] lr: 9.525e-06, eta: 15:09:34, time: 0.668, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0348, s0.loss_cls: 0.2074, s0.acc: 92.8191, s0.loss_bbox: 0.2925, s0.loss_mask: 0.2519, s1.loss_cls: 0.1028, s1.acc: 92.7436, s1.loss_bbox: 0.1332, s1.loss_mask: 0.1220, s2.loss_cls: 0.0510, s2.acc: 92.7052, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0574, loss: 1.3437 2023-11-13 18:03:08,108 - mmdet - INFO - Epoch [1][6700/7330] lr: 9.525e-06, eta: 15:09:05, time: 0.679, data_time: 0.032, memory: 30131, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0335, s0.loss_cls: 0.2071, s0.acc: 92.8376, s0.loss_bbox: 0.2981, s0.loss_mask: 0.2523, s1.loss_cls: 0.1035, s1.acc: 92.7204, s1.loss_bbox: 0.1362, s1.loss_mask: 0.1226, s2.loss_cls: 0.0512, s2.acc: 92.6845, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0574, loss: 1.3520 2023-11-13 18:03:42,014 - mmdet - INFO - Epoch [1][6750/7330] lr: 9.525e-06, eta: 15:08:36, time: 0.678, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0334, s0.loss_cls: 0.2108, s0.acc: 92.6055, s0.loss_bbox: 0.3061, s0.loss_mask: 0.2582, s1.loss_cls: 0.1058, s1.acc: 92.4730, s1.loss_bbox: 0.1393, s1.loss_mask: 0.1263, s2.loss_cls: 0.0533, s2.acc: 92.1969, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0594, loss: 1.3829 2023-11-13 18:04:15,376 - mmdet - INFO - Epoch [1][6800/7330] lr: 9.525e-06, eta: 15:08:00, time: 0.667, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0329, s0.loss_cls: 0.1996, s0.acc: 93.0122, s0.loss_bbox: 0.2844, s0.loss_mask: 0.2471, s1.loss_cls: 0.1003, s1.acc: 92.9092, s1.loss_bbox: 0.1315, s1.loss_mask: 0.1203, s2.loss_cls: 0.0501, s2.acc: 92.6944, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0561, loss: 1.3090 2023-11-13 18:04:49,218 - mmdet - INFO - Epoch [1][6850/7330] lr: 9.525e-06, eta: 15:07:29, time: 0.677, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0318, s0.loss_cls: 0.1972, s0.acc: 93.0732, s0.loss_bbox: 0.2928, s0.loss_mask: 0.2479, s1.loss_cls: 0.0978, s1.acc: 92.9599, s1.loss_bbox: 0.1349, s1.loss_mask: 0.1207, s2.loss_cls: 0.0491, s2.acc: 92.8509, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0567, loss: 1.3158 2023-11-13 18:05:23,218 - mmdet - INFO - Epoch [1][6900/7330] lr: 9.525e-06, eta: 15:07:01, time: 0.680, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0337, s0.loss_cls: 0.2025, s0.acc: 92.9409, s0.loss_bbox: 0.2912, s0.loss_mask: 0.2517, s1.loss_cls: 0.1007, s1.acc: 92.8882, s1.loss_bbox: 0.1332, s1.loss_mask: 0.1229, s2.loss_cls: 0.0508, s2.acc: 92.7141, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0574, loss: 1.3328 2023-11-13 18:05:56,805 - mmdet - INFO - Epoch [1][6950/7330] lr: 9.525e-06, eta: 15:06:27, time: 0.672, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0297, s0.loss_cls: 0.2042, s0.acc: 92.9424, s0.loss_bbox: 0.2940, s0.loss_mask: 0.2504, s1.loss_cls: 0.1022, s1.acc: 92.8397, s1.loss_bbox: 0.1350, s1.loss_mask: 0.1204, s2.loss_cls: 0.0507, s2.acc: 92.7631, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0563, loss: 1.3299 2023-11-13 18:06:30,715 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 18:06:30,715 - mmdet - INFO - Epoch [1][7000/7330] lr: 9.525e-06, eta: 15:05:58, time: 0.678, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0326, s0.loss_cls: 0.2057, s0.acc: 92.7559, s0.loss_bbox: 0.2959, s0.loss_mask: 0.2552, s1.loss_cls: 0.1038, s1.acc: 92.5646, s1.loss_bbox: 0.1366, s1.loss_mask: 0.1228, s2.loss_cls: 0.0519, s2.acc: 92.4791, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0571, loss: 1.3503 2023-11-13 18:07:04,739 - mmdet - INFO - Epoch [1][7050/7330] lr: 9.525e-06, eta: 15:05:29, time: 0.680, data_time: 0.030, memory: 30131, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0346, s0.loss_cls: 0.2102, s0.acc: 92.6409, s0.loss_bbox: 0.3016, s0.loss_mask: 0.2532, s1.loss_cls: 0.1045, s1.acc: 92.6125, s1.loss_bbox: 0.1378, s1.loss_mask: 0.1222, s2.loss_cls: 0.0518, s2.acc: 92.4466, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0573, loss: 1.3637 2023-11-13 18:07:38,245 - mmdet - INFO - Epoch [1][7100/7330] lr: 9.525e-06, eta: 15:04:55, time: 0.670, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0331, s0.loss_cls: 0.2081, s0.acc: 92.8567, s0.loss_bbox: 0.2958, s0.loss_mask: 0.2564, s1.loss_cls: 0.1047, s1.acc: 92.7317, s1.loss_bbox: 0.1338, s1.loss_mask: 0.1239, s2.loss_cls: 0.0520, s2.acc: 92.5441, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0571, loss: 1.3506 2023-11-13 18:08:11,751 - mmdet - INFO - Epoch [1][7150/7330] lr: 9.525e-06, eta: 15:04:21, time: 0.670, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0314, s0.loss_cls: 0.1971, s0.acc: 93.0310, s0.loss_bbox: 0.2909, s0.loss_mask: 0.2516, s1.loss_cls: 0.0984, s1.acc: 93.0266, s1.loss_bbox: 0.1333, s1.loss_mask: 0.1224, s2.loss_cls: 0.0488, s2.acc: 92.9092, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0570, loss: 1.3197 2023-11-13 18:08:46,613 - mmdet - INFO - Epoch [1][7200/7330] lr: 9.525e-06, eta: 15:04:02, time: 0.697, data_time: 0.034, memory: 30131, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0338, s0.loss_cls: 0.2096, s0.acc: 92.6765, s0.loss_bbox: 0.3039, s0.loss_mask: 0.2591, s1.loss_cls: 0.1040, s1.acc: 92.5399, s1.loss_bbox: 0.1377, s1.loss_mask: 0.1267, s2.loss_cls: 0.0525, s2.acc: 92.3500, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0594, loss: 1.3769 2023-11-13 18:09:20,150 - mmdet - INFO - Epoch [1][7250/7330] lr: 9.525e-06, eta: 15:03:28, time: 0.671, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0314, s0.loss_cls: 0.1965, s0.acc: 93.1218, s0.loss_bbox: 0.2819, s0.loss_mask: 0.2496, s1.loss_cls: 0.0986, s1.acc: 93.0290, s1.loss_bbox: 0.1292, s1.loss_mask: 0.1226, s2.loss_cls: 0.0505, s2.acc: 92.7108, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0572, loss: 1.3017 2023-11-13 18:09:53,572 - mmdet - INFO - Epoch [1][7300/7330] lr: 9.525e-06, eta: 15:02:52, time: 0.668, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0304, s0.loss_cls: 0.1930, s0.acc: 93.1963, s0.loss_bbox: 0.2788, s0.loss_mask: 0.2518, s1.loss_cls: 0.0963, s1.acc: 93.0187, s1.loss_bbox: 0.1283, s1.loss_mask: 0.1229, s2.loss_cls: 0.0488, s2.acc: 92.8724, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0573, loss: 1.2896 2023-11-13 18:10:14,372 - mmdet - INFO - Saving checkpoint at 1 epochs 2023-11-13 18:11:43,340 - mmdet - INFO - Evaluating bbox... 2023-11-13 18:12:16,162 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.472 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.681 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.523 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.313 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.517 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.611 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.602 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.602 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.602 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.437 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.746 2023-11-13 18:12:16,165 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.588 | bicycle | 0.376 | car | 0.461 | | motorcycle | 0.449 | airplane | 0.708 | bus | 0.678 | | train | 0.663 | truck | 0.430 | boat | 0.333 | | traffic light | 0.293 | fire hydrant | 0.733 | stop sign | 0.689 | | parking meter | 0.516 | bench | 0.298 | bird | 0.438 | | cat | 0.747 | dog | 0.718 | horse | 0.635 | | sheep | 0.559 | cow | 0.605 | elephant | 0.716 | | bear | 0.794 | zebra | 0.681 | giraffe | 0.705 | | backpack | 0.200 | umbrella | 0.435 | handbag | 0.206 | | tie | 0.372 | suitcase | 0.468 | frisbee | 0.698 | | skis | 0.269 | snowboard | 0.382 | sports ball | 0.485 | | kite | 0.483 | baseball bat | 0.400 | baseball glove | 0.446 | | skateboard | 0.574 | surfboard | 0.434 | tennis racket | 0.503 | | bottle | 0.447 | wine glass | 0.397 | cup | 0.502 | | fork | 0.399 | knife | 0.258 | spoon | 0.248 | | bowl | 0.484 | banana | 0.287 | apple | 0.243 | | sandwich | 0.460 | orange | 0.341 | broccoli | 0.244 | | carrot | 0.279 | hot dog | 0.468 | pizza | 0.552 | | donut | 0.567 | cake | 0.451 | chair | 0.355 | | couch | 0.488 | potted plant | 0.325 | bed | 0.477 | | dining table | 0.258 | toilet | 0.636 | tv | 0.642 | | laptop | 0.654 | mouse | 0.652 | remote | 0.407 | | keyboard | 0.529 | cell phone | 0.454 | microwave | 0.662 | | oven | 0.381 | toaster | 0.378 | sink | 0.433 | | refrigerator | 0.616 | book | 0.182 | clock | 0.548 | | vase | 0.425 | scissors | 0.441 | teddy bear | 0.524 | | hair drier | 0.158 | toothbrush | 0.331 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 18:12:16,165 - mmdet - INFO - Evaluating segm... 2023-11-13 18:12:49,234 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.418 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.655 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.451 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.226 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.460 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.599 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.358 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.584 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.690 2023-11-13 18:12:49,237 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.489 | bicycle | 0.209 | car | 0.421 | | motorcycle | 0.374 | airplane | 0.536 | bus | 0.653 | | train | 0.650 | truck | 0.416 | boat | 0.290 | | traffic light | 0.277 | fire hydrant | 0.687 | stop sign | 0.671 | | parking meter | 0.522 | bench | 0.226 | bird | 0.345 | | cat | 0.716 | dog | 0.658 | horse | 0.454 | | sheep | 0.494 | cow | 0.498 | elephant | 0.627 | | bear | 0.778 | zebra | 0.570 | giraffe | 0.506 | | backpack | 0.208 | umbrella | 0.511 | handbag | 0.201 | | tie | 0.360 | suitcase | 0.484 | frisbee | 0.666 | | skis | 0.034 | snowboard | 0.234 | sports ball | 0.474 | | kite | 0.327 | baseball bat | 0.289 | baseball glove | 0.480 | | skateboard | 0.352 | surfboard | 0.373 | tennis racket | 0.569 | | bottle | 0.428 | wine glass | 0.332 | cup | 0.495 | | fork | 0.204 | knife | 0.181 | spoon | 0.171 | | bowl | 0.445 | banana | 0.233 | apple | 0.234 | | sandwich | 0.472 | orange | 0.337 | broccoli | 0.227 | | carrot | 0.241 | hot dog | 0.373 | pizza | 0.520 | | donut | 0.569 | cake | 0.466 | chair | 0.249 | | couch | 0.398 | potted plant | 0.267 | bed | 0.370 | | dining table | 0.131 | toilet | 0.625 | tv | 0.658 | | laptop | 0.656 | mouse | 0.656 | remote | 0.350 | | keyboard | 0.535 | cell phone | 0.410 | microwave | 0.646 | | oven | 0.339 | toaster | 0.445 | sink | 0.414 | | refrigerator | 0.623 | book | 0.138 | clock | 0.545 | | vase | 0.411 | scissors | 0.285 | teddy bear | 0.498 | | hair drier | 0.064 | toothbrush | 0.199 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 18:12:57,782 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_1.pth. 2023-11-13 18:12:57,783 - mmdet - INFO - Best bbox_mAP is 0.4719 at 1 epoch. 2023-11-13 18:12:57,783 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 18:12:57,783 - mmdet - INFO - Epoch(val) [1][625] bbox_mAP: 0.4719, bbox_mAP_50: 0.6811, bbox_mAP_75: 0.5230, bbox_mAP_s: 0.3125, bbox_mAP_m: 0.5168, bbox_mAP_l: 0.6113, bbox_mAP_copypaste: 0.4719 0.6811 0.5230 0.3125 0.5168 0.6113, segm_mAP: 0.4184, segm_mAP_50: 0.6551, segm_mAP_75: 0.4508, segm_mAP_s: 0.2264, segm_mAP_m: 0.4601, segm_mAP_l: 0.5991, segm_mAP_copypaste: 0.4184 0.6551 0.4508 0.2264 0.4601 0.5991 2023-11-13 18:13:34,524 - mmdet - INFO - Epoch [2][50/7330] lr: 9.525e-06, eta: 14:58:53, time: 0.734, data_time: 0.091, memory: 30131, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0289, s0.loss_cls: 0.1827, s0.acc: 93.5220, s0.loss_bbox: 0.2720, s0.loss_mask: 0.2456, s1.loss_cls: 0.0889, s1.acc: 93.6543, s1.loss_bbox: 0.1258, s1.loss_mask: 0.1203, s2.loss_cls: 0.0452, s2.acc: 93.2876, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0565, loss: 1.2456 2023-11-13 18:14:08,294 - mmdet - INFO - Epoch [2][100/7330] lr: 9.525e-06, eta: 14:58:23, time: 0.675, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0274, s0.loss_cls: 0.1904, s0.acc: 93.2913, s0.loss_bbox: 0.2786, s0.loss_mask: 0.2420, s1.loss_cls: 0.0945, s1.acc: 93.1297, s1.loss_bbox: 0.1273, s1.loss_mask: 0.1187, s2.loss_cls: 0.0474, s2.acc: 93.0138, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0556, loss: 1.2648 2023-11-13 18:14:42,096 - mmdet - INFO - Epoch [2][150/7330] lr: 9.525e-06, eta: 14:57:53, time: 0.676, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0318, s0.loss_cls: 0.1848, s0.acc: 93.3044, s0.loss_bbox: 0.2860, s0.loss_mask: 0.2413, s1.loss_cls: 0.0922, s1.acc: 93.2349, s1.loss_bbox: 0.1335, s1.loss_mask: 0.1186, s2.loss_cls: 0.0473, s2.acc: 92.9738, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0559, loss: 1.2761 2023-11-13 18:15:15,390 - mmdet - INFO - Epoch [2][200/7330] lr: 9.525e-06, eta: 14:57:17, time: 0.666, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0308, s0.loss_cls: 0.1899, s0.acc: 93.1987, s0.loss_bbox: 0.2840, s0.loss_mask: 0.2480, s1.loss_cls: 0.0934, s1.acc: 93.1439, s1.loss_bbox: 0.1324, s1.loss_mask: 0.1217, s2.loss_cls: 0.0472, s2.acc: 93.0576, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0572, loss: 1.2911 2023-11-13 18:15:49,379 - mmdet - INFO - Epoch [2][250/7330] lr: 9.525e-06, eta: 14:56:49, time: 0.680, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0332, s0.loss_cls: 0.1878, s0.acc: 93.3779, s0.loss_bbox: 0.2809, s0.loss_mask: 0.2440, s1.loss_cls: 0.0925, s1.acc: 93.3293, s1.loss_bbox: 0.1292, s1.loss_mask: 0.1189, s2.loss_cls: 0.0471, s2.acc: 93.0727, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0558, loss: 1.2726 2023-11-13 18:16:22,934 - mmdet - INFO - Epoch [2][300/7330] lr: 9.525e-06, eta: 14:56:17, time: 0.671, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0306, s0.loss_cls: 0.1807, s0.acc: 93.5310, s0.loss_bbox: 0.2738, s0.loss_mask: 0.2417, s1.loss_cls: 0.0905, s1.acc: 93.4407, s1.loss_bbox: 0.1286, s1.loss_mask: 0.1187, s2.loss_cls: 0.0463, s2.acc: 93.1209, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0557, loss: 1.2521 2023-11-13 18:16:56,501 - mmdet - INFO - Epoch [2][350/7330] lr: 9.525e-06, eta: 14:55:44, time: 0.671, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0309, s0.loss_cls: 0.1909, s0.acc: 93.1909, s0.loss_bbox: 0.2830, s0.loss_mask: 0.2405, s1.loss_cls: 0.0960, s1.acc: 92.9833, s1.loss_bbox: 0.1311, s1.loss_mask: 0.1188, s2.loss_cls: 0.0490, s2.acc: 92.6607, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0559, loss: 1.2811 2023-11-13 18:17:30,217 - mmdet - INFO - Epoch [2][400/7330] lr: 9.525e-06, eta: 14:55:13, time: 0.674, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0298, s0.loss_cls: 0.1894, s0.acc: 93.2847, s0.loss_bbox: 0.2860, s0.loss_mask: 0.2454, s1.loss_cls: 0.0935, s1.acc: 93.1857, s1.loss_bbox: 0.1322, s1.loss_mask: 0.1200, s2.loss_cls: 0.0474, s2.acc: 92.9161, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0564, loss: 1.2839 2023-11-13 18:18:03,558 - mmdet - INFO - Epoch [2][450/7330] lr: 9.525e-06, eta: 14:54:38, time: 0.667, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0312, s0.loss_cls: 0.1852, s0.acc: 93.4807, s0.loss_bbox: 0.2795, s0.loss_mask: 0.2422, s1.loss_cls: 0.0920, s1.acc: 93.4455, s1.loss_bbox: 0.1303, s1.loss_mask: 0.1187, s2.loss_cls: 0.0464, s2.acc: 93.2913, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0561, loss: 1.2656 2023-11-13 18:18:37,917 - mmdet - INFO - Epoch [2][500/7330] lr: 9.525e-06, eta: 14:54:14, time: 0.687, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0309, s0.loss_cls: 0.1888, s0.acc: 93.3176, s0.loss_bbox: 0.2763, s0.loss_mask: 0.2423, s1.loss_cls: 0.0939, s1.acc: 93.0803, s1.loss_bbox: 0.1291, s1.loss_mask: 0.1196, s2.loss_cls: 0.0482, s2.acc: 92.9233, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0563, loss: 1.2700 2023-11-13 18:19:11,352 - mmdet - INFO - Epoch [2][550/7330] lr: 9.525e-06, eta: 14:53:40, time: 0.669, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0293, s0.loss_cls: 0.1887, s0.acc: 93.3276, s0.loss_bbox: 0.2792, s0.loss_mask: 0.2445, s1.loss_cls: 0.0952, s1.acc: 93.1368, s1.loss_bbox: 0.1296, s1.loss_mask: 0.1189, s2.loss_cls: 0.0483, s2.acc: 92.7788, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0557, loss: 1.2738 2023-11-13 18:19:44,842 - mmdet - INFO - Epoch [2][600/7330] lr: 9.525e-06, eta: 14:53:07, time: 0.670, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0301, s0.loss_cls: 0.1883, s0.acc: 93.2925, s0.loss_bbox: 0.2808, s0.loss_mask: 0.2439, s1.loss_cls: 0.0954, s1.acc: 93.0337, s1.loss_bbox: 0.1298, s1.loss_mask: 0.1197, s2.loss_cls: 0.0480, s2.acc: 92.9223, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0566, loss: 1.2760 2023-11-13 18:20:18,519 - mmdet - INFO - Epoch [2][650/7330] lr: 9.525e-06, eta: 14:52:35, time: 0.673, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0327, s0.loss_cls: 0.2015, s0.acc: 92.8010, s0.loss_bbox: 0.2980, s0.loss_mask: 0.2468, s1.loss_cls: 0.1012, s1.acc: 92.5776, s1.loss_bbox: 0.1357, s1.loss_mask: 0.1202, s2.loss_cls: 0.0511, s2.acc: 92.4844, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0570, loss: 1.3324 2023-11-13 18:20:51,743 - mmdet - INFO - Epoch [2][700/7330] lr: 9.525e-06, eta: 14:51:59, time: 0.664, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0334, s0.loss_cls: 0.1934, s0.acc: 93.1384, s0.loss_bbox: 0.2898, s0.loss_mask: 0.2482, s1.loss_cls: 0.0964, s1.acc: 93.0812, s1.loss_bbox: 0.1331, s1.loss_mask: 0.1207, s2.loss_cls: 0.0488, s2.acc: 92.8597, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0566, loss: 1.3083 2023-11-13 18:21:25,239 - mmdet - INFO - Epoch [2][750/7330] lr: 9.525e-06, eta: 14:51:26, time: 0.670, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0298, s0.loss_cls: 0.1896, s0.acc: 93.3694, s0.loss_bbox: 0.2742, s0.loss_mask: 0.2480, s1.loss_cls: 0.0934, s1.acc: 93.3409, s1.loss_bbox: 0.1264, s1.loss_mask: 0.1203, s2.loss_cls: 0.0473, s2.acc: 93.0666, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0562, loss: 1.2676 2023-11-13 18:21:58,648 - mmdet - INFO - Epoch [2][800/7330] lr: 9.525e-06, eta: 14:50:52, time: 0.668, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0294, s0.loss_cls: 0.1881, s0.acc: 93.3694, s0.loss_bbox: 0.2830, s0.loss_mask: 0.2436, s1.loss_cls: 0.0932, s1.acc: 93.2830, s1.loss_bbox: 0.1300, s1.loss_mask: 0.1186, s2.loss_cls: 0.0468, s2.acc: 93.0183, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0555, loss: 1.2711 2023-11-13 18:22:31,555 - mmdet - INFO - Epoch [2][850/7330] lr: 9.525e-06, eta: 14:50:12, time: 0.658, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0322, s0.loss_cls: 0.1841, s0.acc: 93.4788, s0.loss_bbox: 0.2802, s0.loss_mask: 0.2454, s1.loss_cls: 0.0916, s1.acc: 93.3438, s1.loss_bbox: 0.1295, s1.loss_mask: 0.1189, s2.loss_cls: 0.0466, s2.acc: 93.0862, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0557, loss: 1.2681 2023-11-13 18:23:04,759 - mmdet - INFO - Epoch [2][900/7330] lr: 9.525e-06, eta: 14:49:36, time: 0.664, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0305, s0.loss_cls: 0.1820, s0.acc: 93.4695, s0.loss_bbox: 0.2790, s0.loss_mask: 0.2401, s1.loss_cls: 0.0898, s1.acc: 93.3977, s1.loss_bbox: 0.1300, s1.loss_mask: 0.1165, s2.loss_cls: 0.0459, s2.acc: 93.1571, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0548, loss: 1.2526 2023-11-13 18:23:37,617 - mmdet - INFO - Epoch [2][950/7330] lr: 9.525e-06, eta: 14:48:57, time: 0.657, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0293, s0.loss_cls: 0.1831, s0.acc: 93.3652, s0.loss_bbox: 0.2804, s0.loss_mask: 0.2428, s1.loss_cls: 0.0919, s1.acc: 93.2072, s1.loss_bbox: 0.1306, s1.loss_mask: 0.1196, s2.loss_cls: 0.0468, s2.acc: 92.9577, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0563, loss: 1.2636 2023-11-13 18:24:10,381 - mmdet - INFO - Epoch [2][1000/7330] lr: 9.525e-06, eta: 14:48:17, time: 0.655, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0287, s0.loss_cls: 0.1888, s0.acc: 93.3372, s0.loss_bbox: 0.2809, s0.loss_mask: 0.2413, s1.loss_cls: 0.0945, s1.acc: 93.2415, s1.loss_bbox: 0.1306, s1.loss_mask: 0.1190, s2.loss_cls: 0.0481, s2.acc: 92.9312, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0558, loss: 1.2722 2023-11-13 18:24:43,432 - mmdet - INFO - Epoch [2][1050/7330] lr: 9.525e-06, eta: 14:47:39, time: 0.661, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0295, s0.loss_cls: 0.1829, s0.acc: 93.4116, s0.loss_bbox: 0.2773, s0.loss_mask: 0.2393, s1.loss_cls: 0.0896, s1.acc: 93.4228, s1.loss_bbox: 0.1278, s1.loss_mask: 0.1176, s2.loss_cls: 0.0457, s2.acc: 93.2376, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0554, loss: 1.2467 2023-11-13 18:25:16,290 - mmdet - INFO - Epoch [2][1100/7330] lr: 9.525e-06, eta: 14:47:00, time: 0.657, data_time: 0.017, memory: 30131, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0293, s0.loss_cls: 0.1771, s0.acc: 93.7122, s0.loss_bbox: 0.2629, s0.loss_mask: 0.2405, s1.loss_cls: 0.0885, s1.acc: 93.5778, s1.loss_bbox: 0.1233, s1.loss_mask: 0.1187, s2.loss_cls: 0.0453, s2.acc: 93.2467, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0558, loss: 1.2219 2023-11-13 18:25:49,824 - mmdet - INFO - Epoch [2][1150/7330] lr: 9.525e-06, eta: 14:46:27, time: 0.671, data_time: 0.019, memory: 30131, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0314, s0.loss_cls: 0.1835, s0.acc: 93.4827, s0.loss_bbox: 0.2807, s0.loss_mask: 0.2442, s1.loss_cls: 0.0913, s1.acc: 93.4126, s1.loss_bbox: 0.1309, s1.loss_mask: 0.1209, s2.loss_cls: 0.0468, s2.acc: 93.0579, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0565, loss: 1.2705 2023-11-13 18:26:23,024 - mmdet - INFO - Epoch [2][1200/7330] lr: 9.525e-06, eta: 14:45:52, time: 0.664, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0302, s0.loss_cls: 0.1838, s0.acc: 93.4104, s0.loss_bbox: 0.2768, s0.loss_mask: 0.2379, s1.loss_cls: 0.0930, s1.acc: 93.1479, s1.loss_bbox: 0.1302, s1.loss_mask: 0.1163, s2.loss_cls: 0.0471, s2.acc: 93.0584, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0538, loss: 1.2508 2023-11-13 18:26:56,587 - mmdet - INFO - Epoch [2][1250/7330] lr: 9.525e-06, eta: 14:45:19, time: 0.671, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0302, s0.loss_cls: 0.1838, s0.acc: 93.5266, s0.loss_bbox: 0.2783, s0.loss_mask: 0.2467, s1.loss_cls: 0.0916, s1.acc: 93.3506, s1.loss_bbox: 0.1290, s1.loss_mask: 0.1216, s2.loss_cls: 0.0459, s2.acc: 93.1985, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0568, loss: 1.2672 2023-11-13 18:27:30,319 - mmdet - INFO - Epoch [2][1300/7330] lr: 9.525e-06, eta: 14:44:48, time: 0.675, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0317, s0.loss_cls: 0.1977, s0.acc: 92.9387, s0.loss_bbox: 0.2942, s0.loss_mask: 0.2497, s1.loss_cls: 0.0993, s1.acc: 92.7497, s1.loss_bbox: 0.1354, s1.loss_mask: 0.1223, s2.loss_cls: 0.0507, s2.acc: 92.3575, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0572, loss: 1.3243 2023-11-13 18:28:03,778 - mmdet - INFO - Epoch [2][1350/7330] lr: 9.525e-06, eta: 14:44:15, time: 0.669, data_time: 0.018, memory: 30131, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0290, s0.loss_cls: 0.1763, s0.acc: 93.7852, s0.loss_bbox: 0.2572, s0.loss_mask: 0.2359, s1.loss_cls: 0.0901, s1.acc: 93.5527, s1.loss_bbox: 0.1199, s1.loss_mask: 0.1164, s2.loss_cls: 0.0453, s2.acc: 93.3821, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0547, loss: 1.2031 2023-11-13 18:28:37,258 - mmdet - INFO - Epoch [2][1400/7330] lr: 9.525e-06, eta: 14:43:41, time: 0.670, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0296, s0.loss_cls: 0.1810, s0.acc: 93.5771, s0.loss_bbox: 0.2714, s0.loss_mask: 0.2408, s1.loss_cls: 0.0902, s1.acc: 93.5057, s1.loss_bbox: 0.1253, s1.loss_mask: 0.1180, s2.loss_cls: 0.0457, s2.acc: 93.2461, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0556, loss: 1.2400 2023-11-13 18:29:10,865 - mmdet - INFO - Epoch [2][1450/7330] lr: 9.525e-06, eta: 14:43:09, time: 0.672, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0321, s0.loss_cls: 0.1890, s0.acc: 93.3020, s0.loss_bbox: 0.2796, s0.loss_mask: 0.2408, s1.loss_cls: 0.0939, s1.acc: 93.1396, s1.loss_bbox: 0.1284, s1.loss_mask: 0.1184, s2.loss_cls: 0.0475, s2.acc: 92.9770, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0558, loss: 1.2705 2023-11-13 18:29:44,539 - mmdet - INFO - Epoch [2][1500/7330] lr: 9.525e-06, eta: 14:42:38, time: 0.674, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0316, s0.loss_cls: 0.1887, s0.acc: 93.2556, s0.loss_bbox: 0.2851, s0.loss_mask: 0.2434, s1.loss_cls: 0.0943, s1.acc: 93.1560, s1.loss_bbox: 0.1302, s1.loss_mask: 0.1198, s2.loss_cls: 0.0474, s2.acc: 92.9317, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0564, loss: 1.2802 2023-11-13 18:30:17,487 - mmdet - INFO - Epoch [2][1550/7330] lr: 9.525e-06, eta: 14:42:00, time: 0.659, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0307, s0.loss_cls: 0.1809, s0.acc: 93.5735, s0.loss_bbox: 0.2734, s0.loss_mask: 0.2415, s1.loss_cls: 0.0904, s1.acc: 93.4624, s1.loss_bbox: 0.1257, s1.loss_mask: 0.1187, s2.loss_cls: 0.0460, s2.acc: 93.1334, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0559, loss: 1.2446 2023-11-13 18:30:50,892 - mmdet - INFO - Epoch [2][1600/7330] lr: 9.525e-06, eta: 14:41:26, time: 0.668, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0290, s0.loss_cls: 0.1842, s0.acc: 93.5212, s0.loss_bbox: 0.2718, s0.loss_mask: 0.2403, s1.loss_cls: 0.0915, s1.acc: 93.3860, s1.loss_bbox: 0.1240, s1.loss_mask: 0.1188, s2.loss_cls: 0.0462, s2.acc: 93.1493, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0563, loss: 1.2431 2023-11-13 18:31:24,311 - mmdet - INFO - Epoch [2][1650/7330] lr: 9.525e-06, eta: 14:40:52, time: 0.668, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0320, s0.loss_cls: 0.1887, s0.acc: 93.2583, s0.loss_bbox: 0.2830, s0.loss_mask: 0.2478, s1.loss_cls: 0.0940, s1.acc: 93.1438, s1.loss_bbox: 0.1307, s1.loss_mask: 0.1213, s2.loss_cls: 0.0473, s2.acc: 92.9865, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0566, loss: 1.2884 2023-11-13 18:31:57,441 - mmdet - INFO - Epoch [2][1700/7330] lr: 9.525e-06, eta: 14:40:15, time: 0.663, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0289, s0.loss_cls: 0.1755, s0.acc: 93.7578, s0.loss_bbox: 0.2698, s0.loss_mask: 0.2380, s1.loss_cls: 0.0857, s1.acc: 93.7643, s1.loss_bbox: 0.1263, s1.loss_mask: 0.1168, s2.loss_cls: 0.0439, s2.acc: 93.5627, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0551, loss: 1.2209 2023-11-13 18:32:30,579 - mmdet - INFO - Epoch [2][1750/7330] lr: 9.525e-06, eta: 14:39:39, time: 0.663, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0311, s0.loss_cls: 0.1896, s0.acc: 93.2810, s0.loss_bbox: 0.2846, s0.loss_mask: 0.2436, s1.loss_cls: 0.0942, s1.acc: 93.1677, s1.loss_bbox: 0.1318, s1.loss_mask: 0.1200, s2.loss_cls: 0.0481, s2.acc: 92.8310, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0569, loss: 1.2837 2023-11-13 18:33:03,592 - mmdet - INFO - Epoch [2][1800/7330] lr: 9.525e-06, eta: 14:39:02, time: 0.660, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0307, s0.loss_cls: 0.1832, s0.acc: 93.4719, s0.loss_bbox: 0.2746, s0.loss_mask: 0.2400, s1.loss_cls: 0.0920, s1.acc: 93.3878, s1.loss_bbox: 0.1267, s1.loss_mask: 0.1183, s2.loss_cls: 0.0467, s2.acc: 93.1322, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0558, loss: 1.2484 2023-11-13 18:33:37,196 - mmdet - INFO - Epoch [2][1850/7330] lr: 9.525e-06, eta: 14:38:30, time: 0.672, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0302, s0.loss_cls: 0.1836, s0.acc: 93.4531, s0.loss_bbox: 0.2761, s0.loss_mask: 0.2362, s1.loss_cls: 0.0911, s1.acc: 93.2988, s1.loss_bbox: 0.1274, s1.loss_mask: 0.1173, s2.loss_cls: 0.0457, s2.acc: 93.2352, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0550, loss: 1.2451 2023-11-13 18:34:10,850 - mmdet - INFO - Epoch [2][1900/7330] lr: 9.525e-06, eta: 14:37:58, time: 0.673, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0299, s0.loss_cls: 0.1784, s0.acc: 93.6443, s0.loss_bbox: 0.2707, s0.loss_mask: 0.2421, s1.loss_cls: 0.0881, s1.acc: 93.5759, s1.loss_bbox: 0.1240, s1.loss_mask: 0.1192, s2.loss_cls: 0.0447, s2.acc: 93.5345, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0565, loss: 1.2344 2023-11-13 18:34:44,305 - mmdet - INFO - Epoch [2][1950/7330] lr: 9.525e-06, eta: 14:37:25, time: 0.669, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0307, s0.loss_cls: 0.1795, s0.acc: 93.5620, s0.loss_bbox: 0.2735, s0.loss_mask: 0.2388, s1.loss_cls: 0.0889, s1.acc: 93.5055, s1.loss_bbox: 0.1258, s1.loss_mask: 0.1175, s2.loss_cls: 0.0450, s2.acc: 93.3553, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0555, loss: 1.2370 2023-11-13 18:35:17,412 - mmdet - INFO - Epoch [2][2000/7330] lr: 9.525e-06, eta: 14:36:48, time: 0.662, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0291, s0.loss_cls: 0.1859, s0.acc: 93.3311, s0.loss_bbox: 0.2805, s0.loss_mask: 0.2426, s1.loss_cls: 0.0926, s1.acc: 93.1672, s1.loss_bbox: 0.1292, s1.loss_mask: 0.1188, s2.loss_cls: 0.0470, s2.acc: 92.9555, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0560, loss: 1.2632 2023-11-13 18:35:50,880 - mmdet - INFO - Epoch [2][2050/7330] lr: 9.525e-06, eta: 14:36:15, time: 0.669, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0313, s0.loss_cls: 0.1895, s0.acc: 93.2964, s0.loss_bbox: 0.2797, s0.loss_mask: 0.2374, s1.loss_cls: 0.0939, s1.acc: 93.2172, s1.loss_bbox: 0.1287, s1.loss_mask: 0.1171, s2.loss_cls: 0.0477, s2.acc: 92.9848, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0550, loss: 1.2634 2023-11-13 18:36:24,173 - mmdet - INFO - Epoch [2][2100/7330] lr: 9.525e-06, eta: 14:35:40, time: 0.666, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0303, s0.loss_cls: 0.1850, s0.acc: 93.5386, s0.loss_bbox: 0.2716, s0.loss_mask: 0.2390, s1.loss_cls: 0.0912, s1.acc: 93.4956, s1.loss_bbox: 0.1254, s1.loss_mask: 0.1174, s2.loss_cls: 0.0457, s2.acc: 93.3297, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0555, loss: 1.2426 2023-11-13 18:36:57,583 - mmdet - INFO - Epoch [2][2150/7330] lr: 9.525e-06, eta: 14:35:06, time: 0.668, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0295, s0.loss_cls: 0.1862, s0.acc: 93.4277, s0.loss_bbox: 0.2744, s0.loss_mask: 0.2459, s1.loss_cls: 0.0922, s1.acc: 93.3371, s1.loss_bbox: 0.1263, s1.loss_mask: 0.1222, s2.loss_cls: 0.0462, s2.acc: 93.1189, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0576, loss: 1.2625 2023-11-13 18:37:31,215 - mmdet - INFO - Epoch [2][2200/7330] lr: 9.525e-06, eta: 14:34:34, time: 0.673, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0299, s0.loss_cls: 0.1861, s0.acc: 93.3904, s0.loss_bbox: 0.2742, s0.loss_mask: 0.2397, s1.loss_cls: 0.0927, s1.acc: 93.2522, s1.loss_bbox: 0.1274, s1.loss_mask: 0.1180, s2.loss_cls: 0.0474, s2.acc: 92.9580, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0556, loss: 1.2542 2023-11-13 18:38:04,479 - mmdet - INFO - Epoch [2][2250/7330] lr: 9.525e-06, eta: 14:33:59, time: 0.665, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0300, s0.loss_cls: 0.1906, s0.acc: 93.3235, s0.loss_bbox: 0.2798, s0.loss_mask: 0.2398, s1.loss_cls: 0.0942, s1.acc: 93.2697, s1.loss_bbox: 0.1274, s1.loss_mask: 0.1186, s2.loss_cls: 0.0482, s2.acc: 92.9482, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0560, loss: 1.2662 2023-11-13 18:38:37,746 - mmdet - INFO - Epoch [2][2300/7330] lr: 9.525e-06, eta: 14:33:24, time: 0.665, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0285, s0.loss_cls: 0.1837, s0.acc: 93.5266, s0.loss_bbox: 0.2680, s0.loss_mask: 0.2375, s1.loss_cls: 0.0905, s1.acc: 93.5233, s1.loss_bbox: 0.1228, s1.loss_mask: 0.1167, s2.loss_cls: 0.0454, s2.acc: 93.2892, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0549, loss: 1.2288 2023-11-13 18:39:11,152 - mmdet - INFO - Epoch [2][2350/7330] lr: 9.525e-06, eta: 14:32:50, time: 0.668, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0307, s0.loss_cls: 0.1917, s0.acc: 93.1636, s0.loss_bbox: 0.2823, s0.loss_mask: 0.2485, s1.loss_cls: 0.0956, s1.acc: 93.0204, s1.loss_bbox: 0.1293, s1.loss_mask: 0.1214, s2.loss_cls: 0.0487, s2.acc: 92.7704, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0567, loss: 1.2862 2023-11-13 18:39:44,099 - mmdet - INFO - Epoch [2][2400/7330] lr: 9.525e-06, eta: 14:32:13, time: 0.659, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0305, s0.loss_cls: 0.1887, s0.acc: 93.4143, s0.loss_bbox: 0.2774, s0.loss_mask: 0.2403, s1.loss_cls: 0.0935, s1.acc: 93.3216, s1.loss_bbox: 0.1273, s1.loss_mask: 0.1176, s2.loss_cls: 0.0470, s2.acc: 93.0108, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0553, loss: 1.2627 2023-11-13 18:40:17,515 - mmdet - INFO - Epoch [2][2450/7330] lr: 9.525e-06, eta: 14:31:39, time: 0.668, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0290, s0.loss_cls: 0.1817, s0.acc: 93.6018, s0.loss_bbox: 0.2702, s0.loss_mask: 0.2402, s1.loss_cls: 0.0907, s1.acc: 93.3932, s1.loss_bbox: 0.1244, s1.loss_mask: 0.1172, s2.loss_cls: 0.0459, s2.acc: 93.1470, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0550, loss: 1.2348 2023-11-13 18:40:50,752 - mmdet - INFO - Epoch [2][2500/7330] lr: 9.525e-06, eta: 14:31:04, time: 0.665, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0316, s0.loss_cls: 0.1883, s0.acc: 93.2261, s0.loss_bbox: 0.2797, s0.loss_mask: 0.2404, s1.loss_cls: 0.0939, s1.acc: 93.1519, s1.loss_bbox: 0.1280, s1.loss_mask: 0.1187, s2.loss_cls: 0.0479, s2.acc: 92.8831, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0555, loss: 1.2668 2023-11-13 18:41:24,096 - mmdet - INFO - Epoch [2][2550/7330] lr: 9.525e-06, eta: 14:30:30, time: 0.667, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0298, s0.loss_cls: 0.1874, s0.acc: 93.3074, s0.loss_bbox: 0.2779, s0.loss_mask: 0.2419, s1.loss_cls: 0.0939, s1.acc: 93.1718, s1.loss_bbox: 0.1283, s1.loss_mask: 0.1181, s2.loss_cls: 0.0470, s2.acc: 93.1009, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0557, loss: 1.2623 2023-11-13 18:41:57,528 - mmdet - INFO - Epoch [2][2600/7330] lr: 9.525e-06, eta: 14:29:56, time: 0.669, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0313, s0.loss_cls: 0.1886, s0.acc: 93.2888, s0.loss_bbox: 0.2876, s0.loss_mask: 0.2404, s1.loss_cls: 0.0937, s1.acc: 93.1732, s1.loss_bbox: 0.1323, s1.loss_mask: 0.1178, s2.loss_cls: 0.0476, s2.acc: 92.9818, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0557, loss: 1.2782 2023-11-13 18:42:30,706 - mmdet - INFO - Epoch [2][2650/7330] lr: 9.525e-06, eta: 14:29:21, time: 0.663, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0292, s0.loss_cls: 0.1750, s0.acc: 93.7363, s0.loss_bbox: 0.2692, s0.loss_mask: 0.2395, s1.loss_cls: 0.0868, s1.acc: 93.6392, s1.loss_bbox: 0.1244, s1.loss_mask: 0.1172, s2.loss_cls: 0.0441, s2.acc: 93.5075, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0550, loss: 1.2214 2023-11-13 18:43:03,760 - mmdet - INFO - Epoch [2][2700/7330] lr: 9.525e-06, eta: 14:28:44, time: 0.661, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0313, s0.loss_cls: 0.1915, s0.acc: 93.1809, s0.loss_bbox: 0.2804, s0.loss_mask: 0.2429, s1.loss_cls: 0.0972, s1.acc: 92.9506, s1.loss_bbox: 0.1293, s1.loss_mask: 0.1190, s2.loss_cls: 0.0487, s2.acc: 92.7214, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0558, loss: 1.2802 2023-11-13 18:43:37,447 - mmdet - INFO - Epoch [2][2750/7330] lr: 9.525e-06, eta: 14:28:13, time: 0.674, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0318, s0.loss_cls: 0.1895, s0.acc: 93.2419, s0.loss_bbox: 0.2819, s0.loss_mask: 0.2443, s1.loss_cls: 0.0951, s1.acc: 93.0223, s1.loss_bbox: 0.1300, s1.loss_mask: 0.1209, s2.loss_cls: 0.0485, s2.acc: 92.7729, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0566, loss: 1.2818 2023-11-13 18:44:10,615 - mmdet - INFO - Epoch [2][2800/7330] lr: 9.525e-06, eta: 14:27:37, time: 0.663, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0301, s0.loss_cls: 0.1952, s0.acc: 93.1062, s0.loss_bbox: 0.2803, s0.loss_mask: 0.2426, s1.loss_cls: 0.0962, s1.acc: 93.0108, s1.loss_bbox: 0.1283, s1.loss_mask: 0.1189, s2.loss_cls: 0.0480, s2.acc: 92.8212, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0557, loss: 1.2763 2023-11-13 18:44:43,717 - mmdet - INFO - Epoch [2][2850/7330] lr: 9.525e-06, eta: 14:27:01, time: 0.662, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0302, s0.loss_cls: 0.1797, s0.acc: 93.6421, s0.loss_bbox: 0.2668, s0.loss_mask: 0.2333, s1.loss_cls: 0.0906, s1.acc: 93.5156, s1.loss_bbox: 0.1239, s1.loss_mask: 0.1153, s2.loss_cls: 0.0458, s2.acc: 93.2587, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0545, loss: 1.2214 2023-11-13 18:45:16,933 - mmdet - INFO - Epoch [2][2900/7330] lr: 9.525e-06, eta: 14:26:26, time: 0.664, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0284, s0.loss_cls: 0.1778, s0.acc: 93.6768, s0.loss_bbox: 0.2646, s0.loss_mask: 0.2385, s1.loss_cls: 0.0878, s1.acc: 93.6733, s1.loss_bbox: 0.1222, s1.loss_mask: 0.1171, s2.loss_cls: 0.0441, s2.acc: 93.5651, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0556, loss: 1.2158 2023-11-13 18:45:50,192 - mmdet - INFO - Epoch [2][2950/7330] lr: 9.525e-06, eta: 14:25:51, time: 0.665, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0311, s0.loss_cls: 0.1886, s0.acc: 93.3816, s0.loss_bbox: 0.2777, s0.loss_mask: 0.2374, s1.loss_cls: 0.0929, s1.acc: 93.3787, s1.loss_bbox: 0.1278, s1.loss_mask: 0.1162, s2.loss_cls: 0.0465, s2.acc: 93.1831, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0543, loss: 1.2539 2023-11-13 18:46:23,834 - mmdet - INFO - Epoch [2][3000/7330] lr: 9.525e-06, eta: 14:25:19, time: 0.673, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0285, s0.loss_cls: 0.1833, s0.acc: 93.3796, s0.loss_bbox: 0.2835, s0.loss_mask: 0.2394, s1.loss_cls: 0.0910, s1.acc: 93.3537, s1.loss_bbox: 0.1307, s1.loss_mask: 0.1180, s2.loss_cls: 0.0463, s2.acc: 93.0460, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0556, loss: 1.2582 2023-11-13 18:46:57,194 - mmdet - INFO - Epoch [2][3050/7330] lr: 9.525e-06, eta: 14:24:45, time: 0.667, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0291, s0.loss_cls: 0.1832, s0.acc: 93.4031, s0.loss_bbox: 0.2722, s0.loss_mask: 0.2356, s1.loss_cls: 0.0909, s1.acc: 93.4151, s1.loss_bbox: 0.1259, s1.loss_mask: 0.1152, s2.loss_cls: 0.0458, s2.acc: 93.1854, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0544, loss: 1.2346 2023-11-13 18:47:30,644 - mmdet - INFO - Epoch [2][3100/7330] lr: 9.525e-06, eta: 14:24:12, time: 0.669, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0308, s0.loss_cls: 0.1915, s0.acc: 93.3328, s0.loss_bbox: 0.2767, s0.loss_mask: 0.2433, s1.loss_cls: 0.0936, s1.acc: 93.3751, s1.loss_bbox: 0.1274, s1.loss_mask: 0.1194, s2.loss_cls: 0.0473, s2.acc: 93.2122, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0562, loss: 1.2667 2023-11-13 18:48:04,151 - mmdet - INFO - Epoch [2][3150/7330] lr: 9.525e-06, eta: 14:23:39, time: 0.670, data_time: 0.033, memory: 30131, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0306, s0.loss_cls: 0.1917, s0.acc: 93.3174, s0.loss_bbox: 0.2779, s0.loss_mask: 0.2375, s1.loss_cls: 0.0935, s1.acc: 93.3648, s1.loss_bbox: 0.1278, s1.loss_mask: 0.1166, s2.loss_cls: 0.0477, s2.acc: 93.0870, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0550, loss: 1.2612 2023-11-13 18:48:37,429 - mmdet - INFO - Epoch [2][3200/7330] lr: 9.525e-06, eta: 14:23:04, time: 0.666, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0308, s0.loss_cls: 0.1816, s0.acc: 93.5657, s0.loss_bbox: 0.2766, s0.loss_mask: 0.2413, s1.loss_cls: 0.0890, s1.acc: 93.5839, s1.loss_bbox: 0.1267, s1.loss_mask: 0.1191, s2.loss_cls: 0.0454, s2.acc: 93.2982, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0558, loss: 1.2465 2023-11-13 18:49:10,674 - mmdet - INFO - Epoch [2][3250/7330] lr: 9.525e-06, eta: 14:22:29, time: 0.665, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0306, s0.loss_cls: 0.1859, s0.acc: 93.4597, s0.loss_bbox: 0.2715, s0.loss_mask: 0.2371, s1.loss_cls: 0.0908, s1.acc: 93.4272, s1.loss_bbox: 0.1243, s1.loss_mask: 0.1168, s2.loss_cls: 0.0459, s2.acc: 93.2583, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0548, loss: 1.2398 2023-11-13 18:49:43,772 - mmdet - INFO - Epoch [2][3300/7330] lr: 9.525e-06, eta: 14:21:53, time: 0.662, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0292, s0.loss_cls: 0.1895, s0.acc: 93.3491, s0.loss_bbox: 0.2789, s0.loss_mask: 0.2402, s1.loss_cls: 0.0934, s1.acc: 93.3032, s1.loss_bbox: 0.1265, s1.loss_mask: 0.1181, s2.loss_cls: 0.0472, s2.acc: 93.1027, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0558, loss: 1.2608 2023-11-13 18:50:16,885 - mmdet - INFO - Epoch [2][3350/7330] lr: 9.525e-06, eta: 14:21:18, time: 0.662, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0299, s0.loss_cls: 0.1803, s0.acc: 93.5681, s0.loss_bbox: 0.2732, s0.loss_mask: 0.2360, s1.loss_cls: 0.0890, s1.acc: 93.5772, s1.loss_bbox: 0.1267, s1.loss_mask: 0.1169, s2.loss_cls: 0.0454, s2.acc: 93.3034, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0552, loss: 1.2326 2023-11-13 18:50:49,901 - mmdet - INFO - Epoch [2][3400/7330] lr: 9.525e-06, eta: 14:20:41, time: 0.660, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0303, s0.loss_cls: 0.1863, s0.acc: 93.3645, s0.loss_bbox: 0.2755, s0.loss_mask: 0.2352, s1.loss_cls: 0.0929, s1.acc: 93.3558, s1.loss_bbox: 0.1270, s1.loss_mask: 0.1161, s2.loss_cls: 0.0473, s2.acc: 93.2058, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0548, loss: 1.2476 2023-11-13 18:51:23,358 - mmdet - INFO - Epoch [2][3450/7330] lr: 9.525e-06, eta: 14:20:08, time: 0.669, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0289, s0.loss_cls: 0.1871, s0.acc: 93.3555, s0.loss_bbox: 0.2711, s0.loss_mask: 0.2442, s1.loss_cls: 0.0936, s1.acc: 93.2484, s1.loss_bbox: 0.1233, s1.loss_mask: 0.1198, s2.loss_cls: 0.0470, s2.acc: 93.0138, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0563, loss: 1.2519 2023-11-13 18:51:56,321 - mmdet - INFO - Epoch [2][3500/7330] lr: 9.525e-06, eta: 14:19:31, time: 0.659, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0304, s0.loss_cls: 0.1834, s0.acc: 93.4292, s0.loss_bbox: 0.2748, s0.loss_mask: 0.2421, s1.loss_cls: 0.0923, s1.acc: 93.2404, s1.loss_bbox: 0.1276, s1.loss_mask: 0.1196, s2.loss_cls: 0.0470, s2.acc: 92.9622, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0559, loss: 1.2530 2023-11-13 18:52:29,299 - mmdet - INFO - Epoch [2][3550/7330] lr: 9.525e-06, eta: 14:18:54, time: 0.660, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0300, s0.loss_cls: 0.1856, s0.acc: 93.3296, s0.loss_bbox: 0.2863, s0.loss_mask: 0.2438, s1.loss_cls: 0.0924, s1.acc: 93.2302, s1.loss_bbox: 0.1322, s1.loss_mask: 0.1202, s2.loss_cls: 0.0472, s2.acc: 92.7745, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0564, loss: 1.2777 2023-11-13 18:53:02,418 - mmdet - INFO - Epoch [2][3600/7330] lr: 9.525e-06, eta: 14:18:19, time: 0.662, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0292, s0.loss_cls: 0.1847, s0.acc: 93.4160, s0.loss_bbox: 0.2757, s0.loss_mask: 0.2421, s1.loss_cls: 0.0909, s1.acc: 93.3365, s1.loss_bbox: 0.1273, s1.loss_mask: 0.1181, s2.loss_cls: 0.0464, s2.acc: 93.0964, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0556, loss: 1.2520 2023-11-13 18:53:35,600 - mmdet - INFO - Epoch [2][3650/7330] lr: 9.525e-06, eta: 14:17:44, time: 0.664, data_time: 0.019, memory: 30131, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0287, s0.loss_cls: 0.1758, s0.acc: 93.6724, s0.loss_bbox: 0.2672, s0.loss_mask: 0.2355, s1.loss_cls: 0.0892, s1.acc: 93.4879, s1.loss_bbox: 0.1243, s1.loss_mask: 0.1156, s2.loss_cls: 0.0451, s2.acc: 93.3041, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0543, loss: 1.2130 2023-11-13 18:54:08,708 - mmdet - INFO - Epoch [2][3700/7330] lr: 9.525e-06, eta: 14:17:08, time: 0.662, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0285, s0.loss_cls: 0.1800, s0.acc: 93.6045, s0.loss_bbox: 0.2699, s0.loss_mask: 0.2389, s1.loss_cls: 0.0896, s1.acc: 93.4928, s1.loss_bbox: 0.1239, s1.loss_mask: 0.1189, s2.loss_cls: 0.0455, s2.acc: 93.3537, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0561, loss: 1.2306 2023-11-13 18:54:41,868 - mmdet - INFO - Epoch [2][3750/7330] lr: 9.525e-06, eta: 14:16:33, time: 0.663, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0288, s0.loss_cls: 0.1830, s0.acc: 93.4766, s0.loss_bbox: 0.2772, s0.loss_mask: 0.2346, s1.loss_cls: 0.0900, s1.acc: 93.4413, s1.loss_bbox: 0.1281, s1.loss_mask: 0.1160, s2.loss_cls: 0.0451, s2.acc: 93.1778, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0547, loss: 1.2384 2023-11-13 18:55:15,094 - mmdet - INFO - Epoch [2][3800/7330] lr: 9.525e-06, eta: 14:15:58, time: 0.665, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0270, s0.loss_cls: 0.1705, s0.acc: 93.8684, s0.loss_bbox: 0.2599, s0.loss_mask: 0.2338, s1.loss_cls: 0.0850, s1.acc: 93.7781, s1.loss_bbox: 0.1216, s1.loss_mask: 0.1163, s2.loss_cls: 0.0428, s2.acc: 93.6935, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0552, loss: 1.1901 2023-11-13 18:55:48,092 - mmdet - INFO - Epoch [2][3850/7330] lr: 9.525e-06, eta: 14:15:22, time: 0.660, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0282, s0.loss_cls: 0.1823, s0.acc: 93.5488, s0.loss_bbox: 0.2680, s0.loss_mask: 0.2334, s1.loss_cls: 0.0894, s1.acc: 93.4333, s1.loss_bbox: 0.1243, s1.loss_mask: 0.1161, s2.loss_cls: 0.0449, s2.acc: 93.2805, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0548, loss: 1.2189 2023-11-13 18:56:21,684 - mmdet - INFO - Epoch [2][3900/7330] lr: 9.525e-06, eta: 14:14:49, time: 0.672, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0310, s0.loss_cls: 0.1890, s0.acc: 93.1992, s0.loss_bbox: 0.2793, s0.loss_mask: 0.2363, s1.loss_cls: 0.0933, s1.acc: 93.1934, s1.loss_bbox: 0.1295, s1.loss_mask: 0.1178, s2.loss_cls: 0.0473, s2.acc: 93.0217, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0556, loss: 1.2640 2023-11-13 18:56:54,897 - mmdet - INFO - Epoch [2][3950/7330] lr: 9.525e-06, eta: 14:14:14, time: 0.664, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0297, s0.loss_cls: 0.1849, s0.acc: 93.5796, s0.loss_bbox: 0.2738, s0.loss_mask: 0.2423, s1.loss_cls: 0.0906, s1.acc: 93.4660, s1.loss_bbox: 0.1256, s1.loss_mask: 0.1200, s2.loss_cls: 0.0452, s2.acc: 93.3087, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0563, loss: 1.2522 2023-11-13 18:57:28,412 - mmdet - INFO - Epoch [2][4000/7330] lr: 9.525e-06, eta: 14:13:42, time: 0.670, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0311, s0.loss_cls: 0.1809, s0.acc: 93.5344, s0.loss_bbox: 0.2759, s0.loss_mask: 0.2426, s1.loss_cls: 0.0882, s1.acc: 93.6152, s1.loss_bbox: 0.1270, s1.loss_mask: 0.1195, s2.loss_cls: 0.0448, s2.acc: 93.3556, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0560, loss: 1.2469 2023-11-13 18:58:01,706 - mmdet - INFO - Epoch [2][4050/7330] lr: 9.525e-06, eta: 14:13:07, time: 0.666, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0288, s0.loss_cls: 0.1751, s0.acc: 93.7229, s0.loss_bbox: 0.2646, s0.loss_mask: 0.2380, s1.loss_cls: 0.0885, s1.acc: 93.5170, s1.loss_bbox: 0.1228, s1.loss_mask: 0.1172, s2.loss_cls: 0.0451, s2.acc: 93.1533, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0552, loss: 1.2128 2023-11-13 18:58:34,987 - mmdet - INFO - Epoch [2][4100/7330] lr: 9.525e-06, eta: 14:12:33, time: 0.666, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0284, s0.loss_cls: 0.1764, s0.acc: 93.7007, s0.loss_bbox: 0.2702, s0.loss_mask: 0.2394, s1.loss_cls: 0.0875, s1.acc: 93.6515, s1.loss_bbox: 0.1246, s1.loss_mask: 0.1185, s2.loss_cls: 0.0450, s2.acc: 93.2980, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0559, loss: 1.2267 2023-11-13 18:59:08,100 - mmdet - INFO - Epoch [2][4150/7330] lr: 9.525e-06, eta: 14:11:58, time: 0.662, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0284, s0.loss_cls: 0.1767, s0.acc: 93.6104, s0.loss_bbox: 0.2691, s0.loss_mask: 0.2458, s1.loss_cls: 0.0888, s1.acc: 93.5105, s1.loss_bbox: 0.1232, s1.loss_mask: 0.1207, s2.loss_cls: 0.0449, s2.acc: 93.2508, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0564, loss: 1.2299 2023-11-13 18:59:41,362 - mmdet - INFO - Epoch [2][4200/7330] lr: 9.525e-06, eta: 14:11:23, time: 0.665, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0283, s0.loss_cls: 0.1688, s0.acc: 93.8711, s0.loss_bbox: 0.2582, s0.loss_mask: 0.2378, s1.loss_cls: 0.0864, s1.acc: 93.6057, s1.loss_bbox: 0.1196, s1.loss_mask: 0.1182, s2.loss_cls: 0.0441, s2.acc: 93.2925, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0555, loss: 1.1908 2023-11-13 19:00:14,384 - mmdet - INFO - Epoch [2][4250/7330] lr: 9.525e-06, eta: 14:10:47, time: 0.660, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0284, s0.loss_cls: 0.1747, s0.acc: 93.6917, s0.loss_bbox: 0.2697, s0.loss_mask: 0.2375, s1.loss_cls: 0.0865, s1.acc: 93.6331, s1.loss_bbox: 0.1242, s1.loss_mask: 0.1180, s2.loss_cls: 0.0440, s2.acc: 93.4140, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0549, loss: 1.2168 2023-11-13 19:00:47,802 - mmdet - INFO - Epoch [2][4300/7330] lr: 9.525e-06, eta: 14:10:14, time: 0.668, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0286, s0.loss_cls: 0.1849, s0.acc: 93.3584, s0.loss_bbox: 0.2750, s0.loss_mask: 0.2397, s1.loss_cls: 0.0919, s1.acc: 93.2669, s1.loss_bbox: 0.1257, s1.loss_mask: 0.1186, s2.loss_cls: 0.0457, s2.acc: 93.0879, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0554, loss: 1.2424 2023-11-13 19:01:20,901 - mmdet - INFO - Epoch [2][4350/7330] lr: 9.525e-06, eta: 14:09:38, time: 0.662, data_time: 0.018, memory: 30131, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0296, s0.loss_cls: 0.1791, s0.acc: 93.5059, s0.loss_bbox: 0.2799, s0.loss_mask: 0.2434, s1.loss_cls: 0.0901, s1.acc: 93.2671, s1.loss_bbox: 0.1292, s1.loss_mask: 0.1196, s2.loss_cls: 0.0460, s2.acc: 93.0771, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0564, loss: 1.2537 2023-11-13 19:01:53,666 - mmdet - INFO - Epoch [2][4400/7330] lr: 9.525e-06, eta: 14:09:00, time: 0.655, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0271, s0.loss_cls: 0.1773, s0.acc: 93.6848, s0.loss_bbox: 0.2676, s0.loss_mask: 0.2334, s1.loss_cls: 0.0878, s1.acc: 93.5956, s1.loss_bbox: 0.1228, s1.loss_mask: 0.1165, s2.loss_cls: 0.0441, s2.acc: 93.3961, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0549, loss: 1.2091 2023-11-13 19:02:26,748 - mmdet - INFO - Epoch [2][4450/7330] lr: 9.525e-06, eta: 14:08:25, time: 0.662, data_time: 0.019, memory: 30131, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0280, s0.loss_cls: 0.1739, s0.acc: 93.8162, s0.loss_bbox: 0.2623, s0.loss_mask: 0.2323, s1.loss_cls: 0.0859, s1.acc: 93.7127, s1.loss_bbox: 0.1220, s1.loss_mask: 0.1146, s2.loss_cls: 0.0436, s2.acc: 93.6341, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0541, loss: 1.1960 2023-11-13 19:03:00,292 - mmdet - INFO - Epoch [2][4500/7330] lr: 9.525e-06, eta: 14:07:52, time: 0.671, data_time: 0.019, memory: 30131, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0289, s0.loss_cls: 0.1813, s0.acc: 93.4961, s0.loss_bbox: 0.2745, s0.loss_mask: 0.2408, s1.loss_cls: 0.0919, s1.acc: 93.2418, s1.loss_bbox: 0.1283, s1.loss_mask: 0.1184, s2.loss_cls: 0.0466, s2.acc: 92.9894, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0552, loss: 1.2465 2023-11-13 19:03:33,587 - mmdet - INFO - Epoch [2][4550/7330] lr: 9.525e-06, eta: 14:07:18, time: 0.666, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0293, s0.loss_cls: 0.1869, s0.acc: 93.1973, s0.loss_bbox: 0.2753, s0.loss_mask: 0.2409, s1.loss_cls: 0.0932, s1.acc: 93.0940, s1.loss_bbox: 0.1271, s1.loss_mask: 0.1199, s2.loss_cls: 0.0475, s2.acc: 92.9003, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0566, loss: 1.2580 2023-11-13 19:04:06,962 - mmdet - INFO - Epoch [2][4600/7330] lr: 9.525e-06, eta: 14:06:45, time: 0.668, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0286, s0.loss_cls: 0.1753, s0.acc: 93.7415, s0.loss_bbox: 0.2651, s0.loss_mask: 0.2389, s1.loss_cls: 0.0866, s1.acc: 93.6588, s1.loss_bbox: 0.1233, s1.loss_mask: 0.1174, s2.loss_cls: 0.0435, s2.acc: 93.5283, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0554, loss: 1.2133 2023-11-13 19:04:40,550 - mmdet - INFO - Epoch [2][4650/7330] lr: 9.525e-06, eta: 14:06:12, time: 0.672, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0294, s0.loss_cls: 0.1806, s0.acc: 93.5889, s0.loss_bbox: 0.2682, s0.loss_mask: 0.2369, s1.loss_cls: 0.0897, s1.acc: 93.5448, s1.loss_bbox: 0.1230, s1.loss_mask: 0.1172, s2.loss_cls: 0.0454, s2.acc: 93.3294, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0552, loss: 1.2255 2023-11-13 19:05:14,071 - mmdet - INFO - Epoch [2][4700/7330] lr: 9.525e-06, eta: 14:05:40, time: 0.670, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0302, s0.loss_cls: 0.1846, s0.acc: 93.3770, s0.loss_bbox: 0.2755, s0.loss_mask: 0.2387, s1.loss_cls: 0.0904, s1.acc: 93.4081, s1.loss_bbox: 0.1266, s1.loss_mask: 0.1182, s2.loss_cls: 0.0461, s2.acc: 93.1787, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0556, loss: 1.2476 2023-11-13 19:05:47,764 - mmdet - INFO - Epoch [2][4750/7330] lr: 9.525e-06, eta: 14:05:08, time: 0.674, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0300, s0.loss_cls: 0.1753, s0.acc: 93.7856, s0.loss_bbox: 0.2640, s0.loss_mask: 0.2338, s1.loss_cls: 0.0879, s1.acc: 93.5981, s1.loss_bbox: 0.1222, s1.loss_mask: 0.1155, s2.loss_cls: 0.0449, s2.acc: 93.3862, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0547, loss: 1.2091 2023-11-13 19:06:20,941 - mmdet - INFO - Epoch [2][4800/7330] lr: 9.525e-06, eta: 14:04:33, time: 0.663, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0277, s0.loss_cls: 0.1702, s0.acc: 94.0684, s0.loss_bbox: 0.2541, s0.loss_mask: 0.2301, s1.loss_cls: 0.0854, s1.acc: 93.8633, s1.loss_bbox: 0.1189, s1.loss_mask: 0.1154, s2.loss_cls: 0.0433, s2.acc: 93.6771, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0547, loss: 1.1744 2023-11-13 19:06:54,397 - mmdet - INFO - Epoch [2][4850/7330] lr: 9.525e-06, eta: 14:04:00, time: 0.669, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0280, s0.loss_cls: 0.1780, s0.acc: 93.6787, s0.loss_bbox: 0.2620, s0.loss_mask: 0.2373, s1.loss_cls: 0.0888, s1.acc: 93.5415, s1.loss_bbox: 0.1217, s1.loss_mask: 0.1171, s2.loss_cls: 0.0449, s2.acc: 93.3409, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0550, loss: 1.2117 2023-11-13 19:07:28,008 - mmdet - INFO - Epoch [2][4900/7330] lr: 9.525e-06, eta: 14:03:28, time: 0.672, data_time: 0.019, memory: 30131, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0281, s0.loss_cls: 0.1765, s0.acc: 93.7292, s0.loss_bbox: 0.2647, s0.loss_mask: 0.2360, s1.loss_cls: 0.0882, s1.acc: 93.5714, s1.loss_bbox: 0.1225, s1.loss_mask: 0.1167, s2.loss_cls: 0.0448, s2.acc: 93.3979, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0549, loss: 1.2097 2023-11-13 19:08:01,237 - mmdet - INFO - Epoch [2][4950/7330] lr: 9.525e-06, eta: 14:02:53, time: 0.665, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0280, s0.loss_cls: 0.1760, s0.acc: 93.7021, s0.loss_bbox: 0.2607, s0.loss_mask: 0.2356, s1.loss_cls: 0.0866, s1.acc: 93.7349, s1.loss_bbox: 0.1209, s1.loss_mask: 0.1161, s2.loss_cls: 0.0437, s2.acc: 93.5586, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0547, loss: 1.1989 2023-11-13 19:08:34,404 - mmdet - INFO - Epoch [2][5000/7330] lr: 9.525e-06, eta: 14:02:18, time: 0.663, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0275, s0.loss_cls: 0.1700, s0.acc: 93.8682, s0.loss_bbox: 0.2622, s0.loss_mask: 0.2348, s1.loss_cls: 0.0846, s1.acc: 93.7481, s1.loss_bbox: 0.1209, s1.loss_mask: 0.1151, s2.loss_cls: 0.0431, s2.acc: 93.4767, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0540, loss: 1.1894 2023-11-13 19:09:07,484 - mmdet - INFO - Epoch [2][5050/7330] lr: 9.525e-06, eta: 14:01:43, time: 0.662, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0272, s0.loss_cls: 0.1728, s0.acc: 93.8093, s0.loss_bbox: 0.2582, s0.loss_mask: 0.2331, s1.loss_cls: 0.0862, s1.acc: 93.6655, s1.loss_bbox: 0.1211, s1.loss_mask: 0.1161, s2.loss_cls: 0.0439, s2.acc: 93.3995, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0545, loss: 1.1891 2023-11-13 19:09:41,265 - mmdet - INFO - Epoch [2][5100/7330] lr: 9.525e-06, eta: 14:01:12, time: 0.676, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0293, s0.loss_cls: 0.1834, s0.acc: 93.4534, s0.loss_bbox: 0.2748, s0.loss_mask: 0.2378, s1.loss_cls: 0.0905, s1.acc: 93.3783, s1.loss_bbox: 0.1250, s1.loss_mask: 0.1173, s2.loss_cls: 0.0455, s2.acc: 93.1558, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0554, loss: 1.2412 2023-11-13 19:10:14,372 - mmdet - INFO - Epoch [2][5150/7330] lr: 9.525e-06, eta: 14:00:36, time: 0.662, data_time: 0.018, memory: 30131, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0272, s0.loss_cls: 0.1717, s0.acc: 93.8940, s0.loss_bbox: 0.2633, s0.loss_mask: 0.2395, s1.loss_cls: 0.0855, s1.acc: 93.7733, s1.loss_bbox: 0.1226, s1.loss_mask: 0.1190, s2.loss_cls: 0.0436, s2.acc: 93.4154, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0565, loss: 1.2059 2023-11-13 19:10:47,757 - mmdet - INFO - Epoch [2][5200/7330] lr: 9.525e-06, eta: 14:00:03, time: 0.668, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0290, s0.loss_cls: 0.1788, s0.acc: 93.4956, s0.loss_bbox: 0.2705, s0.loss_mask: 0.2331, s1.loss_cls: 0.0892, s1.acc: 93.4031, s1.loss_bbox: 0.1244, s1.loss_mask: 0.1144, s2.loss_cls: 0.0462, s2.acc: 93.0666, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0541, loss: 1.2181 2023-11-13 19:11:21,758 - mmdet - INFO - Epoch [2][5250/7330] lr: 9.525e-06, eta: 13:59:33, time: 0.680, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0295, s0.loss_cls: 0.1819, s0.acc: 93.5120, s0.loss_bbox: 0.2696, s0.loss_mask: 0.2341, s1.loss_cls: 0.0908, s1.acc: 93.3898, s1.loss_bbox: 0.1252, s1.loss_mask: 0.1156, s2.loss_cls: 0.0463, s2.acc: 93.0967, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0540, loss: 1.2254 2023-11-13 19:11:55,124 - mmdet - INFO - Epoch [2][5300/7330] lr: 9.525e-06, eta: 13:58:59, time: 0.667, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0284, s0.loss_cls: 0.1895, s0.acc: 93.2622, s0.loss_bbox: 0.2752, s0.loss_mask: 0.2395, s1.loss_cls: 0.0940, s1.acc: 93.1817, s1.loss_bbox: 0.1260, s1.loss_mask: 0.1186, s2.loss_cls: 0.0473, s2.acc: 93.1398, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0559, loss: 1.2536 2023-11-13 19:12:28,499 - mmdet - INFO - Epoch [2][5350/7330] lr: 9.525e-06, eta: 13:58:26, time: 0.668, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0283, s0.loss_cls: 0.1810, s0.acc: 93.5645, s0.loss_bbox: 0.2662, s0.loss_mask: 0.2353, s1.loss_cls: 0.0908, s1.acc: 93.5174, s1.loss_bbox: 0.1223, s1.loss_mask: 0.1164, s2.loss_cls: 0.0455, s2.acc: 93.3606, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0549, loss: 1.2172 2023-11-13 19:13:01,215 - mmdet - INFO - Epoch [2][5400/7330] lr: 9.525e-06, eta: 13:57:48, time: 0.654, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0259, s0.loss_cls: 0.1660, s0.acc: 94.0515, s0.loss_bbox: 0.2548, s0.loss_mask: 0.2318, s1.loss_cls: 0.0830, s1.acc: 93.9938, s1.loss_bbox: 0.1180, s1.loss_mask: 0.1156, s2.loss_cls: 0.0423, s2.acc: 93.7966, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0546, loss: 1.1687 2023-11-13 19:13:35,043 - mmdet - INFO - Epoch [2][5450/7330] lr: 9.525e-06, eta: 13:57:17, time: 0.677, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0287, s0.loss_cls: 0.1803, s0.acc: 93.5554, s0.loss_bbox: 0.2647, s0.loss_mask: 0.2356, s1.loss_cls: 0.0914, s1.acc: 93.4020, s1.loss_bbox: 0.1240, s1.loss_mask: 0.1179, s2.loss_cls: 0.0464, s2.acc: 93.1798, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0553, loss: 1.2230 2023-11-13 19:14:07,921 - mmdet - INFO - Epoch [2][5500/7330] lr: 9.525e-06, eta: 13:56:41, time: 0.658, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0280, s0.loss_cls: 0.1748, s0.acc: 93.6130, s0.loss_bbox: 0.2641, s0.loss_mask: 0.2343, s1.loss_cls: 0.0883, s1.acc: 93.5330, s1.loss_bbox: 0.1228, s1.loss_mask: 0.1169, s2.loss_cls: 0.0449, s2.acc: 93.2139, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0552, loss: 1.2074 2023-11-13 19:14:41,118 - mmdet - INFO - Epoch [2][5550/7330] lr: 9.525e-06, eta: 13:56:06, time: 0.664, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0288, s0.loss_cls: 0.1728, s0.acc: 93.8921, s0.loss_bbox: 0.2576, s0.loss_mask: 0.2285, s1.loss_cls: 0.0871, s1.acc: 93.7794, s1.loss_bbox: 0.1195, s1.loss_mask: 0.1141, s2.loss_cls: 0.0443, s2.acc: 93.4565, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0543, loss: 1.1838 2023-11-13 19:15:14,938 - mmdet - INFO - Epoch [2][5600/7330] lr: 9.525e-06, eta: 13:55:35, time: 0.676, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0305, s0.loss_cls: 0.1757, s0.acc: 93.6843, s0.loss_bbox: 0.2716, s0.loss_mask: 0.2376, s1.loss_cls: 0.0863, s1.acc: 93.6575, s1.loss_bbox: 0.1235, s1.loss_mask: 0.1165, s2.loss_cls: 0.0439, s2.acc: 93.3605, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0546, loss: 1.2204 2023-11-13 19:15:48,119 - mmdet - INFO - Epoch [2][5650/7330] lr: 9.525e-06, eta: 13:55:00, time: 0.664, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0284, s0.loss_cls: 0.1714, s0.acc: 93.8179, s0.loss_bbox: 0.2632, s0.loss_mask: 0.2301, s1.loss_cls: 0.0850, s1.acc: 93.7602, s1.loss_bbox: 0.1214, s1.loss_mask: 0.1132, s2.loss_cls: 0.0432, s2.acc: 93.6007, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0534, loss: 1.1849 2023-11-13 19:16:21,768 - mmdet - INFO - Epoch [2][5700/7330] lr: 9.525e-06, eta: 13:54:28, time: 0.673, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0297, s0.loss_cls: 0.1876, s0.acc: 93.2046, s0.loss_bbox: 0.2804, s0.loss_mask: 0.2375, s1.loss_cls: 0.0935, s1.acc: 93.1421, s1.loss_bbox: 0.1273, s1.loss_mask: 0.1177, s2.loss_cls: 0.0471, s2.acc: 92.9102, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0560, loss: 1.2586 2023-11-13 19:16:54,858 - mmdet - INFO - Epoch [2][5750/7330] lr: 9.525e-06, eta: 13:53:53, time: 0.662, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0276, s0.loss_cls: 0.1805, s0.acc: 93.5940, s0.loss_bbox: 0.2678, s0.loss_mask: 0.2364, s1.loss_cls: 0.0891, s1.acc: 93.6236, s1.loss_bbox: 0.1225, s1.loss_mask: 0.1168, s2.loss_cls: 0.0450, s2.acc: 93.4258, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0546, loss: 1.2185 2023-11-13 19:17:28,152 - mmdet - INFO - Epoch [2][5800/7330] lr: 9.525e-06, eta: 13:53:19, time: 0.666, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0268, s0.loss_cls: 0.1745, s0.acc: 93.8098, s0.loss_bbox: 0.2599, s0.loss_mask: 0.2367, s1.loss_cls: 0.0863, s1.acc: 93.7821, s1.loss_bbox: 0.1207, s1.loss_mask: 0.1174, s2.loss_cls: 0.0440, s2.acc: 93.5651, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0552, loss: 1.1971 2023-11-13 19:18:01,552 - mmdet - INFO - Epoch [2][5850/7330] lr: 9.525e-06, eta: 13:52:45, time: 0.668, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0294, s0.loss_cls: 0.1904, s0.acc: 93.1863, s0.loss_bbox: 0.2910, s0.loss_mask: 0.2429, s1.loss_cls: 0.0938, s1.acc: 93.0998, s1.loss_bbox: 0.1325, s1.loss_mask: 0.1202, s2.loss_cls: 0.0472, s2.acc: 92.9506, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0565, loss: 1.2871 2023-11-13 19:18:34,919 - mmdet - INFO - Epoch [2][5900/7330] lr: 9.525e-06, eta: 13:52:12, time: 0.667, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0274, s0.loss_cls: 0.1770, s0.acc: 93.6946, s0.loss_bbox: 0.2708, s0.loss_mask: 0.2387, s1.loss_cls: 0.0880, s1.acc: 93.6441, s1.loss_bbox: 0.1238, s1.loss_mask: 0.1172, s2.loss_cls: 0.0444, s2.acc: 93.4284, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0547, loss: 1.2201 2023-11-13 19:19:07,822 - mmdet - INFO - Epoch [2][5950/7330] lr: 9.525e-06, eta: 13:51:35, time: 0.658, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0266, s0.loss_cls: 0.1760, s0.acc: 93.7710, s0.loss_bbox: 0.2625, s0.loss_mask: 0.2290, s1.loss_cls: 0.0871, s1.acc: 93.7510, s1.loss_bbox: 0.1227, s1.loss_mask: 0.1151, s2.loss_cls: 0.0446, s2.acc: 93.4164, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0543, loss: 1.1949 2023-11-13 19:19:41,196 - mmdet - INFO - Epoch [2][6000/7330] lr: 9.525e-06, eta: 13:51:02, time: 0.668, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1695, s0.acc: 93.9763, s0.loss_bbox: 0.2571, s0.loss_mask: 0.2327, s1.loss_cls: 0.0834, s1.acc: 94.0311, s1.loss_bbox: 0.1197, s1.loss_mask: 0.1152, s2.loss_cls: 0.0425, s2.acc: 93.7858, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0549, loss: 1.1779 2023-11-13 19:20:14,205 - mmdet - INFO - Epoch [2][6050/7330] lr: 9.525e-06, eta: 13:50:26, time: 0.660, data_time: 0.019, memory: 30131, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0269, s0.loss_cls: 0.1682, s0.acc: 94.1113, s0.loss_bbox: 0.2540, s0.loss_mask: 0.2362, s1.loss_cls: 0.0820, s1.acc: 94.1185, s1.loss_bbox: 0.1166, s1.loss_mask: 0.1177, s2.loss_cls: 0.0414, s2.acc: 93.9455, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0557, loss: 1.1738 2023-11-13 19:20:47,353 - mmdet - INFO - Epoch [2][6100/7330] lr: 9.525e-06, eta: 13:49:51, time: 0.663, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0268, s0.loss_cls: 0.1671, s0.acc: 93.9736, s0.loss_bbox: 0.2573, s0.loss_mask: 0.2289, s1.loss_cls: 0.0813, s1.acc: 94.0581, s1.loss_bbox: 0.1184, s1.loss_mask: 0.1140, s2.loss_cls: 0.0411, s2.acc: 93.8654, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0540, loss: 1.1644 2023-11-13 19:21:20,152 - mmdet - INFO - Epoch [2][6150/7330] lr: 9.525e-06, eta: 13:49:15, time: 0.656, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0277, s0.loss_cls: 0.1650, s0.acc: 94.1177, s0.loss_bbox: 0.2462, s0.loss_mask: 0.2310, s1.loss_cls: 0.0812, s1.acc: 94.1524, s1.loss_bbox: 0.1130, s1.loss_mask: 0.1142, s2.loss_cls: 0.0408, s2.acc: 94.0060, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0539, loss: 1.1463 2023-11-13 19:21:53,617 - mmdet - INFO - Epoch [2][6200/7330] lr: 9.525e-06, eta: 13:48:42, time: 0.669, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0284, s0.loss_cls: 0.1804, s0.acc: 93.5623, s0.loss_bbox: 0.2664, s0.loss_mask: 0.2347, s1.loss_cls: 0.0893, s1.acc: 93.5861, s1.loss_bbox: 0.1214, s1.loss_mask: 0.1159, s2.loss_cls: 0.0450, s2.acc: 93.4097, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0546, loss: 1.2133 2023-11-13 19:22:27,377 - mmdet - INFO - Epoch [2][6250/7330] lr: 9.525e-06, eta: 13:48:10, time: 0.675, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0284, s0.loss_cls: 0.1791, s0.acc: 93.5938, s0.loss_bbox: 0.2654, s0.loss_mask: 0.2388, s1.loss_cls: 0.0900, s1.acc: 93.4119, s1.loss_bbox: 0.1224, s1.loss_mask: 0.1186, s2.loss_cls: 0.0454, s2.acc: 93.2851, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0557, loss: 1.2222 2023-11-13 19:23:01,108 - mmdet - INFO - Epoch [2][6300/7330] lr: 9.525e-06, eta: 13:47:39, time: 0.675, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0301, s0.loss_cls: 0.1806, s0.acc: 93.4880, s0.loss_bbox: 0.2680, s0.loss_mask: 0.2374, s1.loss_cls: 0.0910, s1.acc: 93.4136, s1.loss_bbox: 0.1242, s1.loss_mask: 0.1180, s2.loss_cls: 0.0455, s2.acc: 93.2559, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0556, loss: 1.2289 2023-11-13 19:23:34,566 - mmdet - INFO - Epoch [2][6350/7330] lr: 9.525e-06, eta: 13:47:05, time: 0.669, data_time: 0.018, memory: 30131, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0294, s0.loss_cls: 0.1762, s0.acc: 93.8049, s0.loss_bbox: 0.2592, s0.loss_mask: 0.2343, s1.loss_cls: 0.0887, s1.acc: 93.5798, s1.loss_bbox: 0.1200, s1.loss_mask: 0.1163, s2.loss_cls: 0.0453, s2.acc: 93.2576, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0553, loss: 1.1990 2023-11-13 19:24:07,957 - mmdet - INFO - Epoch [2][6400/7330] lr: 9.525e-06, eta: 13:46:32, time: 0.668, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0267, s0.loss_cls: 0.1720, s0.acc: 93.9207, s0.loss_bbox: 0.2559, s0.loss_mask: 0.2287, s1.loss_cls: 0.0848, s1.acc: 93.8425, s1.loss_bbox: 0.1189, s1.loss_mask: 0.1129, s2.loss_cls: 0.0432, s2.acc: 93.5999, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0534, loss: 1.1714 2023-11-13 19:24:41,841 - mmdet - INFO - Epoch [2][6450/7330] lr: 9.525e-06, eta: 13:46:01, time: 0.678, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0286, s0.loss_cls: 0.1803, s0.acc: 93.5474, s0.loss_bbox: 0.2691, s0.loss_mask: 0.2375, s1.loss_cls: 0.0897, s1.acc: 93.4663, s1.loss_bbox: 0.1245, s1.loss_mask: 0.1180, s2.loss_cls: 0.0452, s2.acc: 93.2114, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0559, loss: 1.2290 2023-11-13 19:25:14,929 - mmdet - INFO - Epoch [2][6500/7330] lr: 9.525e-06, eta: 13:45:26, time: 0.662, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0278, s0.loss_cls: 0.1752, s0.acc: 93.7446, s0.loss_bbox: 0.2618, s0.loss_mask: 0.2363, s1.loss_cls: 0.0867, s1.acc: 93.7361, s1.loss_bbox: 0.1206, s1.loss_mask: 0.1161, s2.loss_cls: 0.0441, s2.acc: 93.6218, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0546, loss: 1.1996 2023-11-13 19:25:48,491 - mmdet - INFO - Epoch [2][6550/7330] lr: 9.525e-06, eta: 13:44:53, time: 0.671, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0310, s0.loss_cls: 0.1700, s0.acc: 93.8225, s0.loss_bbox: 0.2608, s0.loss_mask: 0.2340, s1.loss_cls: 0.0843, s1.acc: 93.7447, s1.loss_bbox: 0.1211, s1.loss_mask: 0.1164, s2.loss_cls: 0.0435, s2.acc: 93.4217, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0553, loss: 1.1939 2023-11-13 19:26:21,796 - mmdet - INFO - Epoch [2][6600/7330] lr: 9.525e-06, eta: 13:44:19, time: 0.666, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0272, s0.loss_cls: 0.1675, s0.acc: 94.0613, s0.loss_bbox: 0.2561, s0.loss_mask: 0.2309, s1.loss_cls: 0.0841, s1.acc: 93.9433, s1.loss_bbox: 0.1188, s1.loss_mask: 0.1154, s2.loss_cls: 0.0432, s2.acc: 93.6682, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0547, loss: 1.1726 2023-11-13 19:26:55,249 - mmdet - INFO - Epoch [2][6650/7330] lr: 9.525e-06, eta: 13:43:46, time: 0.669, data_time: 0.019, memory: 30131, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0294, s0.loss_cls: 0.1731, s0.acc: 93.7971, s0.loss_bbox: 0.2616, s0.loss_mask: 0.2382, s1.loss_cls: 0.0860, s1.acc: 93.7234, s1.loss_bbox: 0.1202, s1.loss_mask: 0.1174, s2.loss_cls: 0.0434, s2.acc: 93.5606, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0551, loss: 1.2011 2023-11-13 19:27:29,027 - mmdet - INFO - Epoch [2][6700/7330] lr: 9.525e-06, eta: 13:43:15, time: 0.676, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0273, s0.loss_cls: 0.1807, s0.acc: 93.6272, s0.loss_bbox: 0.2614, s0.loss_mask: 0.2299, s1.loss_cls: 0.0892, s1.acc: 93.5175, s1.loss_bbox: 0.1196, s1.loss_mask: 0.1147, s2.loss_cls: 0.0444, s2.acc: 93.3933, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0538, loss: 1.1971 2023-11-13 19:28:02,383 - mmdet - INFO - Epoch [2][6750/7330] lr: 9.525e-06, eta: 13:42:41, time: 0.667, data_time: 0.022, memory: 30131, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0282, s0.loss_cls: 0.1835, s0.acc: 93.5037, s0.loss_bbox: 0.2689, s0.loss_mask: 0.2365, s1.loss_cls: 0.0895, s1.acc: 93.5380, s1.loss_bbox: 0.1239, s1.loss_mask: 0.1172, s2.loss_cls: 0.0448, s2.acc: 93.2899, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0548, loss: 1.2244 2023-11-13 19:28:35,789 - mmdet - INFO - Epoch [2][6800/7330] lr: 9.525e-06, eta: 13:42:08, time: 0.668, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0269, s0.loss_cls: 0.1669, s0.acc: 94.0420, s0.loss_bbox: 0.2517, s0.loss_mask: 0.2351, s1.loss_cls: 0.0839, s1.acc: 93.8696, s1.loss_bbox: 0.1166, s1.loss_mask: 0.1161, s2.loss_cls: 0.0425, s2.acc: 93.7279, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0549, loss: 1.1693 2023-11-13 19:29:09,051 - mmdet - INFO - Epoch [2][6850/7330] lr: 9.525e-06, eta: 13:41:34, time: 0.665, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0277, s0.loss_cls: 0.1710, s0.acc: 93.9521, s0.loss_bbox: 0.2578, s0.loss_mask: 0.2341, s1.loss_cls: 0.0852, s1.acc: 93.8417, s1.loss_bbox: 0.1193, s1.loss_mask: 0.1156, s2.loss_cls: 0.0434, s2.acc: 93.6127, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0546, loss: 1.1851 2023-11-13 19:29:42,482 - mmdet - INFO - Epoch [2][6900/7330] lr: 9.525e-06, eta: 13:41:00, time: 0.669, data_time: 0.020, memory: 30131, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0283, s0.loss_cls: 0.1818, s0.acc: 93.5852, s0.loss_bbox: 0.2682, s0.loss_mask: 0.2343, s1.loss_cls: 0.0886, s1.acc: 93.6408, s1.loss_bbox: 0.1242, s1.loss_mask: 0.1162, s2.loss_cls: 0.0452, s2.acc: 93.3325, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0549, loss: 1.2203 2023-11-13 19:30:15,720 - mmdet - INFO - Epoch [2][6950/7330] lr: 9.525e-06, eta: 13:40:26, time: 0.665, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0272, s0.loss_cls: 0.1695, s0.acc: 93.9072, s0.loss_bbox: 0.2595, s0.loss_mask: 0.2338, s1.loss_cls: 0.0844, s1.acc: 93.8211, s1.loss_bbox: 0.1184, s1.loss_mask: 0.1157, s2.loss_cls: 0.0430, s2.acc: 93.6710, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0543, loss: 1.1820 2023-11-13 19:30:48,888 - mmdet - INFO - Epoch [2][7000/7330] lr: 9.525e-06, eta: 13:39:51, time: 0.663, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0272, s0.loss_cls: 0.1685, s0.acc: 93.9893, s0.loss_bbox: 0.2554, s0.loss_mask: 0.2310, s1.loss_cls: 0.0834, s1.acc: 93.9302, s1.loss_bbox: 0.1194, s1.loss_mask: 0.1150, s2.loss_cls: 0.0429, s2.acc: 93.6965, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0546, loss: 1.1726 2023-11-13 19:31:21,830 - mmdet - INFO - Epoch [2][7050/7330] lr: 9.525e-06, eta: 13:39:16, time: 0.659, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1723, s0.acc: 93.8174, s0.loss_bbox: 0.2594, s0.loss_mask: 0.2370, s1.loss_cls: 0.0855, s1.acc: 93.7634, s1.loss_bbox: 0.1204, s1.loss_mask: 0.1173, s2.loss_cls: 0.0434, s2.acc: 93.5978, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0548, loss: 1.1883 2023-11-13 19:31:55,204 - mmdet - INFO - Epoch [2][7100/7330] lr: 9.525e-06, eta: 13:38:42, time: 0.668, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0279, s0.loss_cls: 0.1736, s0.acc: 93.7686, s0.loss_bbox: 0.2625, s0.loss_mask: 0.2336, s1.loss_cls: 0.0847, s1.acc: 93.8056, s1.loss_bbox: 0.1209, s1.loss_mask: 0.1155, s2.loss_cls: 0.0429, s2.acc: 93.5659, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0550, loss: 1.1945 2023-11-13 19:32:28,434 - mmdet - INFO - Epoch [2][7150/7330] lr: 9.525e-06, eta: 13:38:08, time: 0.664, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0283, s0.loss_cls: 0.1832, s0.acc: 93.5100, s0.loss_bbox: 0.2707, s0.loss_mask: 0.2357, s1.loss_cls: 0.0905, s1.acc: 93.4730, s1.loss_bbox: 0.1237, s1.loss_mask: 0.1164, s2.loss_cls: 0.0460, s2.acc: 93.2355, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0553, loss: 1.2308 2023-11-13 19:33:01,782 - mmdet - INFO - Epoch [2][7200/7330] lr: 9.525e-06, eta: 13:37:34, time: 0.667, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0305, s0.loss_cls: 0.1823, s0.acc: 93.5608, s0.loss_bbox: 0.2719, s0.loss_mask: 0.2430, s1.loss_cls: 0.0885, s1.acc: 93.5619, s1.loss_bbox: 0.1232, s1.loss_mask: 0.1196, s2.loss_cls: 0.0449, s2.acc: 93.2972, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0563, loss: 1.2397 2023-11-13 19:33:35,192 - mmdet - INFO - Epoch [2][7250/7330] lr: 9.525e-06, eta: 13:37:01, time: 0.668, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1659, s0.acc: 94.1003, s0.loss_bbox: 0.2540, s0.loss_mask: 0.2283, s1.loss_cls: 0.0821, s1.acc: 94.0159, s1.loss_bbox: 0.1194, s1.loss_mask: 0.1145, s2.loss_cls: 0.0422, s2.acc: 93.7776, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0545, loss: 1.1625 2023-11-13 19:34:09,240 - mmdet - INFO - Epoch [2][7300/7330] lr: 9.525e-06, eta: 13:36:31, time: 0.681, data_time: 0.021, memory: 30131, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0313, s0.loss_cls: 0.1820, s0.acc: 93.3608, s0.loss_bbox: 0.2749, s0.loss_mask: 0.2383, s1.loss_cls: 0.0892, s1.acc: 93.3508, s1.loss_bbox: 0.1258, s1.loss_mask: 0.1175, s2.loss_cls: 0.0457, s2.acc: 93.0341, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0550, loss: 1.2410 2023-11-13 19:34:29,510 - mmdet - INFO - Saving checkpoint at 2 epochs 2023-11-13 19:36:05,619 - mmdet - INFO - Evaluating bbox... 2023-11-13 19:36:37,527 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.506 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.710 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.556 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.337 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.557 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.652 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.635 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.635 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.635 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.453 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.688 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.783 2023-11-13 19:36:37,530 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.609 | bicycle | 0.375 | car | 0.505 | | motorcycle | 0.489 | airplane | 0.740 | bus | 0.695 | | train | 0.699 | truck | 0.462 | boat | 0.358 | | traffic light | 0.316 | fire hydrant | 0.738 | stop sign | 0.691 | | parking meter | 0.511 | bench | 0.330 | bird | 0.458 | | cat | 0.779 | dog | 0.735 | horse | 0.664 | | sheep | 0.615 | cow | 0.668 | elephant | 0.724 | | bear | 0.771 | zebra | 0.718 | giraffe | 0.757 | | backpack | 0.241 | umbrella | 0.493 | handbag | 0.241 | | tie | 0.419 | suitcase | 0.503 | frisbee | 0.739 | | skis | 0.303 | snowboard | 0.465 | sports ball | 0.501 | | kite | 0.509 | baseball bat | 0.430 | baseball glove | 0.471 | | skateboard | 0.606 | surfboard | 0.477 | tennis racket | 0.581 | | bottle | 0.483 | wine glass | 0.439 | cup | 0.535 | | fork | 0.491 | knife | 0.293 | spoon | 0.311 | | bowl | 0.516 | banana | 0.319 | apple | 0.272 | | sandwich | 0.495 | orange | 0.387 | broccoli | 0.290 | | carrot | 0.293 | hot dog | 0.531 | pizza | 0.581 | | donut | 0.613 | cake | 0.479 | chair | 0.390 | | couch | 0.489 | potted plant | 0.363 | bed | 0.528 | | dining table | 0.310 | toilet | 0.676 | tv | 0.648 | | laptop | 0.718 | mouse | 0.658 | remote | 0.459 | | keyboard | 0.568 | cell phone | 0.478 | microwave | 0.646 | | oven | 0.417 | toaster | 0.468 | sink | 0.453 | | refrigerator | 0.693 | book | 0.216 | clock | 0.563 | | vase | 0.458 | scissors | 0.459 | teddy bear | 0.574 | | hair drier | 0.111 | toothbrush | 0.415 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 19:36:37,530 - mmdet - INFO - Evaluating segm... 2023-11-13 19:37:13,544 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.441 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.678 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.479 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.246 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.482 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.628 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.560 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.560 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.560 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.381 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.610 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.715 2023-11-13 19:37:13,546 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.512 | bicycle | 0.209 | car | 0.453 | | motorcycle | 0.402 | airplane | 0.562 | bus | 0.680 | | train | 0.678 | truck | 0.435 | boat | 0.297 | | traffic light | 0.308 | fire hydrant | 0.701 | stop sign | 0.682 | | parking meter | 0.501 | bench | 0.241 | bird | 0.360 | | cat | 0.741 | dog | 0.673 | horse | 0.485 | | sheep | 0.534 | cow | 0.548 | elephant | 0.648 | | bear | 0.765 | zebra | 0.617 | giraffe | 0.558 | | backpack | 0.243 | umbrella | 0.543 | handbag | 0.212 | | tie | 0.383 | suitcase | 0.504 | frisbee | 0.684 | | skis | 0.040 | snowboard | 0.285 | sports ball | 0.486 | | kite | 0.350 | baseball bat | 0.292 | baseball glove | 0.482 | | skateboard | 0.363 | surfboard | 0.383 | tennis racket | 0.607 | | bottle | 0.449 | wine glass | 0.369 | cup | 0.525 | | fork | 0.224 | knife | 0.193 | spoon | 0.203 | | bowl | 0.468 | banana | 0.256 | apple | 0.260 | | sandwich | 0.508 | orange | 0.375 | broccoli | 0.272 | | carrot | 0.250 | hot dog | 0.418 | pizza | 0.549 | | donut | 0.597 | cake | 0.490 | chair | 0.262 | | couch | 0.386 | potted plant | 0.300 | bed | 0.413 | | dining table | 0.163 | toilet | 0.655 | tv | 0.663 | | laptop | 0.688 | mouse | 0.630 | remote | 0.386 | | keyboard | 0.548 | cell phone | 0.431 | microwave | 0.650 | | oven | 0.365 | toaster | 0.515 | sink | 0.414 | | refrigerator | 0.682 | book | 0.165 | clock | 0.563 | | vase | 0.439 | scissors | 0.323 | teddy bear | 0.547 | | hair drier | 0.038 | toothbrush | 0.235 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 19:37:14,167 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco/best_bbox_mAP_epoch_1.pth was removed 2023-11-13 19:37:22,297 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_2.pth. 2023-11-13 19:37:22,298 - mmdet - INFO - Best bbox_mAP is 0.5059 at 2 epoch. 2023-11-13 19:37:22,298 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 19:37:22,298 - mmdet - INFO - Epoch(val) [2][625] bbox_mAP: 0.5059, bbox_mAP_50: 0.7098, bbox_mAP_75: 0.5556, bbox_mAP_s: 0.3370, bbox_mAP_m: 0.5571, bbox_mAP_l: 0.6520, bbox_mAP_copypaste: 0.5059 0.7098 0.5556 0.3370 0.5571 0.6520, segm_mAP: 0.4414, segm_mAP_50: 0.6780, segm_mAP_75: 0.4789, segm_mAP_s: 0.2462, segm_mAP_m: 0.4818, segm_mAP_l: 0.6279, segm_mAP_copypaste: 0.4414 0.6780 0.4789 0.2462 0.4818 0.6279 2023-11-13 19:38:00,000 - mmdet - INFO - Epoch [3][50/7330] lr: 9.525e-06, eta: 13:34:19, time: 0.754, data_time: 0.089, memory: 30131, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0290, s0.loss_cls: 0.1656, s0.acc: 93.9150, s0.loss_bbox: 0.2650, s0.loss_mask: 0.2330, s1.loss_cls: 0.0809, s1.acc: 93.9942, s1.loss_bbox: 0.1218, s1.loss_mask: 0.1149, s2.loss_cls: 0.0415, s2.acc: 93.7290, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0540, loss: 1.1816 2023-11-13 19:38:34,723 - mmdet - INFO - Epoch [3][100/7330] lr: 9.525e-06, eta: 13:33:52, time: 0.694, data_time: 0.032, memory: 30131, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0285, s0.loss_cls: 0.1789, s0.acc: 93.5288, s0.loss_bbox: 0.2698, s0.loss_mask: 0.2295, s1.loss_cls: 0.0877, s1.acc: 93.5822, s1.loss_bbox: 0.1242, s1.loss_mask: 0.1151, s2.loss_cls: 0.0448, s2.acc: 93.2699, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0544, loss: 1.2115 2023-11-13 19:39:08,834 - mmdet - INFO - Epoch [3][150/7330] lr: 9.525e-06, eta: 13:33:22, time: 0.682, data_time: 0.032, memory: 30131, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0282, s0.loss_cls: 0.1689, s0.acc: 93.8572, s0.loss_bbox: 0.2637, s0.loss_mask: 0.2334, s1.loss_cls: 0.0823, s1.acc: 93.8764, s1.loss_bbox: 0.1200, s1.loss_mask: 0.1158, s2.loss_cls: 0.0418, s2.acc: 93.7390, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0548, loss: 1.1829 2023-11-13 19:39:42,341 - mmdet - INFO - Epoch [3][200/7330] lr: 9.525e-06, eta: 13:32:50, time: 0.670, data_time: 0.030, memory: 30131, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1689, s0.acc: 93.9189, s0.loss_bbox: 0.2529, s0.loss_mask: 0.2308, s1.loss_cls: 0.0831, s1.acc: 93.8752, s1.loss_bbox: 0.1170, s1.loss_mask: 0.1141, s2.loss_cls: 0.0421, s2.acc: 93.6134, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0537, loss: 1.1618 2023-11-13 19:40:16,502 - mmdet - INFO - Epoch [3][250/7330] lr: 9.525e-06, eta: 13:32:20, time: 0.683, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0291, s0.loss_cls: 0.1684, s0.acc: 93.8193, s0.loss_bbox: 0.2639, s0.loss_mask: 0.2284, s1.loss_cls: 0.0819, s1.acc: 93.8951, s1.loss_bbox: 0.1214, s1.loss_mask: 0.1133, s2.loss_cls: 0.0419, s2.acc: 93.5922, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0532, loss: 1.1772 2023-11-13 19:40:50,136 - mmdet - INFO - Epoch [3][300/7330] lr: 9.525e-06, eta: 13:31:48, time: 0.673, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0261, s0.loss_cls: 0.1607, s0.acc: 94.1995, s0.loss_bbox: 0.2545, s0.loss_mask: 0.2262, s1.loss_cls: 0.0782, s1.acc: 94.1758, s1.loss_bbox: 0.1185, s1.loss_mask: 0.1126, s2.loss_cls: 0.0399, s2.acc: 93.9468, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0535, loss: 1.1416 2023-11-13 19:41:23,952 - mmdet - INFO - Epoch [3][350/7330] lr: 9.525e-06, eta: 13:31:17, time: 0.676, data_time: 0.027, memory: 30131, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0265, s0.loss_cls: 0.1612, s0.acc: 94.0950, s0.loss_bbox: 0.2575, s0.loss_mask: 0.2292, s1.loss_cls: 0.0801, s1.acc: 93.9982, s1.loss_bbox: 0.1198, s1.loss_mask: 0.1140, s2.loss_cls: 0.0411, s2.acc: 93.7212, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0542, loss: 1.1583 2023-11-13 19:41:57,554 - mmdet - INFO - Epoch [3][400/7330] lr: 9.525e-06, eta: 13:30:45, time: 0.672, data_time: 0.030, memory: 30131, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0272, s0.loss_cls: 0.1636, s0.acc: 94.1018, s0.loss_bbox: 0.2544, s0.loss_mask: 0.2272, s1.loss_cls: 0.0804, s1.acc: 94.0812, s1.loss_bbox: 0.1175, s1.loss_mask: 0.1134, s2.loss_cls: 0.0416, s2.acc: 93.8109, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0540, loss: 1.1534 2023-11-13 19:42:31,523 - mmdet - INFO - Epoch [3][450/7330] lr: 9.525e-06, eta: 13:30:14, time: 0.679, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0275, s0.loss_cls: 0.1578, s0.acc: 94.1548, s0.loss_bbox: 0.2598, s0.loss_mask: 0.2292, s1.loss_cls: 0.0779, s1.acc: 94.0410, s1.loss_bbox: 0.1210, s1.loss_mask: 0.1137, s2.loss_cls: 0.0399, s2.acc: 93.8868, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0539, loss: 1.1552 2023-11-13 19:43:05,124 - mmdet - INFO - Epoch [3][500/7330] lr: 9.525e-06, eta: 13:29:42, time: 0.672, data_time: 0.023, memory: 30131, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0254, s0.loss_cls: 0.1604, s0.acc: 94.0808, s0.loss_bbox: 0.2519, s0.loss_mask: 0.2277, s1.loss_cls: 0.0800, s1.acc: 93.9680, s1.loss_bbox: 0.1174, s1.loss_mask: 0.1141, s2.loss_cls: 0.0413, s2.acc: 93.6320, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0541, loss: 1.1442 2023-11-13 19:43:38,944 - mmdet - INFO - Epoch [3][550/7330] lr: 9.525e-06, eta: 13:29:11, time: 0.676, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0275, s0.loss_cls: 0.1675, s0.acc: 93.8472, s0.loss_bbox: 0.2612, s0.loss_mask: 0.2305, s1.loss_cls: 0.0823, s1.acc: 93.8741, s1.loss_bbox: 0.1203, s1.loss_mask: 0.1138, s2.loss_cls: 0.0418, s2.acc: 93.6294, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0536, loss: 1.1732 2023-11-13 19:44:13,070 - mmdet - INFO - Epoch [3][600/7330] lr: 9.525e-06, eta: 13:28:41, time: 0.682, data_time: 0.030, memory: 30131, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0279, s0.loss_cls: 0.1667, s0.acc: 94.0239, s0.loss_bbox: 0.2512, s0.loss_mask: 0.2227, s1.loss_cls: 0.0830, s1.acc: 93.9474, s1.loss_bbox: 0.1179, s1.loss_mask: 0.1122, s2.loss_cls: 0.0422, s2.acc: 93.6583, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0533, loss: 1.1501 2023-11-13 19:44:46,927 - mmdet - INFO - Epoch [3][650/7330] lr: 9.525e-06, eta: 13:28:10, time: 0.677, data_time: 0.031, memory: 30131, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0277, s0.loss_cls: 0.1682, s0.acc: 93.8445, s0.loss_bbox: 0.2636, s0.loss_mask: 0.2283, s1.loss_cls: 0.0820, s1.acc: 93.9034, s1.loss_bbox: 0.1215, s1.loss_mask: 0.1133, s2.loss_cls: 0.0417, s2.acc: 93.7079, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0536, loss: 1.1764 2023-11-13 19:45:20,636 - mmdet - INFO - Epoch [3][700/7330] lr: 9.525e-06, eta: 13:27:38, time: 0.674, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0254, s0.loss_cls: 0.1596, s0.acc: 94.1782, s0.loss_bbox: 0.2488, s0.loss_mask: 0.2248, s1.loss_cls: 0.0791, s1.acc: 94.1714, s1.loss_bbox: 0.1165, s1.loss_mask: 0.1124, s2.loss_cls: 0.0407, s2.acc: 93.8074, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0535, loss: 1.1341 2023-11-13 19:45:54,302 - mmdet - INFO - Epoch [3][750/7330] lr: 9.525e-06, eta: 13:27:06, time: 0.673, data_time: 0.029, memory: 30131, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0276, s0.loss_cls: 0.1647, s0.acc: 93.9539, s0.loss_bbox: 0.2619, s0.loss_mask: 0.2281, s1.loss_cls: 0.0811, s1.acc: 93.9260, s1.loss_bbox: 0.1215, s1.loss_mask: 0.1136, s2.loss_cls: 0.0410, s2.acc: 93.7015, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0535, loss: 1.1687 2023-11-13 19:46:28,185 - mmdet - INFO - Epoch [3][800/7330] lr: 9.525e-06, eta: 13:26:35, time: 0.678, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0290, s0.loss_cls: 0.1702, s0.acc: 93.7966, s0.loss_bbox: 0.2608, s0.loss_mask: 0.2246, s1.loss_cls: 0.0837, s1.acc: 93.7714, s1.loss_bbox: 0.1209, s1.loss_mask: 0.1120, s2.loss_cls: 0.0425, s2.acc: 93.5622, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0530, loss: 1.1734 2023-11-13 19:47:02,197 - mmdet - INFO - Epoch [3][850/7330] lr: 9.525e-06, eta: 13:26:05, time: 0.680, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0282, s0.loss_cls: 0.1624, s0.acc: 94.0054, s0.loss_bbox: 0.2545, s0.loss_mask: 0.2262, s1.loss_cls: 0.0794, s1.acc: 94.0384, s1.loss_bbox: 0.1180, s1.loss_mask: 0.1123, s2.loss_cls: 0.0405, s2.acc: 93.7732, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0532, loss: 1.1482 2023-11-13 19:47:35,670 - mmdet - INFO - Epoch [3][900/7330] lr: 9.525e-06, eta: 13:25:32, time: 0.669, data_time: 0.030, memory: 30131, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0261, s0.loss_cls: 0.1582, s0.acc: 94.2190, s0.loss_bbox: 0.2477, s0.loss_mask: 0.2229, s1.loss_cls: 0.0787, s1.acc: 94.1958, s1.loss_bbox: 0.1161, s1.loss_mask: 0.1121, s2.loss_cls: 0.0405, s2.acc: 93.8762, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0531, loss: 1.1271 2023-11-13 19:48:09,003 - mmdet - INFO - Epoch [3][950/7330] lr: 9.525e-06, eta: 13:24:58, time: 0.667, data_time: 0.024, memory: 30131, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0247, s0.loss_cls: 0.1596, s0.acc: 94.1746, s0.loss_bbox: 0.2458, s0.loss_mask: 0.2265, s1.loss_cls: 0.0789, s1.acc: 94.1217, s1.loss_bbox: 0.1154, s1.loss_mask: 0.1135, s2.loss_cls: 0.0408, s2.acc: 93.7929, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0541, loss: 1.1299 2023-11-13 19:48:42,899 - mmdet - INFO - Epoch [3][1000/7330] lr: 9.525e-06, eta: 13:24:27, time: 0.678, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0284, s0.loss_cls: 0.1631, s0.acc: 94.0815, s0.loss_bbox: 0.2577, s0.loss_mask: 0.2358, s1.loss_cls: 0.0804, s1.acc: 94.0569, s1.loss_bbox: 0.1188, s1.loss_mask: 0.1161, s2.loss_cls: 0.0413, s2.acc: 93.7718, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0548, loss: 1.1705 2023-11-13 19:49:16,943 - mmdet - INFO - Epoch [3][1050/7330] lr: 9.525e-06, eta: 13:23:57, time: 0.681, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0273, s0.loss_cls: 0.1658, s0.acc: 93.9492, s0.loss_bbox: 0.2616, s0.loss_mask: 0.2334, s1.loss_cls: 0.0816, s1.acc: 93.9152, s1.loss_bbox: 0.1223, s1.loss_mask: 0.1166, s2.loss_cls: 0.0421, s2.acc: 93.6998, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0548, loss: 1.1815 2023-11-13 19:49:50,802 - mmdet - INFO - Epoch [3][1100/7330] lr: 9.525e-06, eta: 13:23:26, time: 0.677, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1570, s0.acc: 94.2803, s0.loss_bbox: 0.2445, s0.loss_mask: 0.2254, s1.loss_cls: 0.0780, s1.acc: 94.2283, s1.loss_bbox: 0.1146, s1.loss_mask: 0.1128, s2.loss_cls: 0.0397, s2.acc: 93.8931, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0534, loss: 1.1213 2023-11-13 19:50:24,460 - mmdet - INFO - Epoch [3][1150/7330] lr: 9.525e-06, eta: 13:22:54, time: 0.673, data_time: 0.028, memory: 30131, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0255, s0.loss_cls: 0.1505, s0.acc: 94.4861, s0.loss_bbox: 0.2444, s0.loss_mask: 0.2257, s1.loss_cls: 0.0746, s1.acc: 94.4044, s1.loss_bbox: 0.1151, s1.loss_mask: 0.1141, s2.loss_cls: 0.0388, s2.acc: 94.0447, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0545, loss: 1.1149 2023-11-13 19:50:57,522 - mmdet - INFO - Epoch [3][1200/7330] lr: 9.525e-06, eta: 13:22:19, time: 0.661, data_time: 0.026, memory: 30131, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0252, s0.loss_cls: 0.1619, s0.acc: 94.1440, s0.loss_bbox: 0.2461, s0.loss_mask: 0.2287, s1.loss_cls: 0.0786, s1.acc: 94.1796, s1.loss_bbox: 0.1146, s1.loss_mask: 0.1151, s2.loss_cls: 0.0403, s2.acc: 93.8820, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0545, loss: 1.1381 2023-11-13 19:51:31,320 - mmdet - INFO - Epoch [3][1250/7330] lr: 9.525e-06, eta: 13:21:47, time: 0.676, data_time: 0.025, memory: 30131, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0266, s0.loss_cls: 0.1573, s0.acc: 94.3281, s0.loss_bbox: 0.2450, s0.loss_mask: 0.2204, s1.loss_cls: 0.0779, s1.acc: 94.2974, s1.loss_bbox: 0.1147, s1.loss_mask: 0.1107, s2.loss_cls: 0.0399, s2.acc: 93.9882, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0526, loss: 1.1176 2023-11-13 19:52:05,016 - mmdet - INFO - Epoch [3][1300/7330] lr: 9.525e-06, eta: 13:21:15, time: 0.674, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0261, s0.loss_cls: 0.1555, s0.acc: 94.3899, s0.loss_bbox: 0.2517, s0.loss_mask: 0.2301, s1.loss_cls: 0.0763, s1.acc: 94.3969, s1.loss_bbox: 0.1170, s1.loss_mask: 0.1141, s2.loss_cls: 0.0390, s2.acc: 94.0381, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0539, loss: 1.1360 2023-11-13 19:52:39,269 - mmdet - INFO - Epoch [3][1350/7330] lr: 9.525e-06, eta: 13:20:46, time: 0.685, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0273, s0.loss_cls: 0.1716, s0.acc: 93.7605, s0.loss_bbox: 0.2675, s0.loss_mask: 0.2335, s1.loss_cls: 0.0830, s1.acc: 93.8904, s1.loss_bbox: 0.1232, s1.loss_mask: 0.1158, s2.loss_cls: 0.0427, s2.acc: 93.5228, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0548, loss: 1.1982 2023-11-13 19:53:13,269 - mmdet - INFO - Epoch [3][1400/7330] lr: 9.525e-06, eta: 13:20:15, time: 0.680, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0279, s0.loss_cls: 0.1655, s0.acc: 93.8711, s0.loss_bbox: 0.2647, s0.loss_mask: 0.2274, s1.loss_cls: 0.0809, s1.acc: 93.8308, s1.loss_bbox: 0.1227, s1.loss_mask: 0.1138, s2.loss_cls: 0.0417, s2.acc: 93.6169, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0539, loss: 1.1740 2023-11-13 19:53:47,250 - mmdet - INFO - Epoch [3][1450/7330] lr: 9.525e-06, eta: 13:19:44, time: 0.680, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0272, s0.loss_cls: 0.1668, s0.acc: 93.9146, s0.loss_bbox: 0.2631, s0.loss_mask: 0.2319, s1.loss_cls: 0.0823, s1.acc: 93.8760, s1.loss_bbox: 0.1213, s1.loss_mask: 0.1150, s2.loss_cls: 0.0422, s2.acc: 93.5931, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0545, loss: 1.1805 2023-11-13 19:54:21,037 - mmdet - INFO - Epoch [3][1500/7330] lr: 9.525e-06, eta: 13:19:13, time: 0.676, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0259, s0.loss_cls: 0.1590, s0.acc: 94.1558, s0.loss_bbox: 0.2535, s0.loss_mask: 0.2290, s1.loss_cls: 0.0779, s1.acc: 94.2031, s1.loss_bbox: 0.1192, s1.loss_mask: 0.1144, s2.loss_cls: 0.0404, s2.acc: 93.8514, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0543, loss: 1.1473 2023-11-13 19:54:54,699 - mmdet - INFO - Epoch [3][1550/7330] lr: 9.525e-06, eta: 13:18:41, time: 0.673, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0271, s0.loss_cls: 0.1597, s0.acc: 94.1521, s0.loss_bbox: 0.2546, s0.loss_mask: 0.2311, s1.loss_cls: 0.0786, s1.acc: 94.1705, s1.loss_bbox: 0.1185, s1.loss_mask: 0.1154, s2.loss_cls: 0.0404, s2.acc: 93.8838, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0546, loss: 1.1517 2023-11-13 19:55:28,365 - mmdet - INFO - Epoch [3][1600/7330] lr: 9.525e-06, eta: 13:18:08, time: 0.673, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0281, s0.loss_cls: 0.1620, s0.acc: 94.0981, s0.loss_bbox: 0.2522, s0.loss_mask: 0.2252, s1.loss_cls: 0.0799, s1.acc: 94.0876, s1.loss_bbox: 0.1174, s1.loss_mask: 0.1130, s2.loss_cls: 0.0410, s2.acc: 93.8429, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0536, loss: 1.1465 2023-11-13 19:56:02,576 - mmdet - INFO - Epoch [3][1650/7330] lr: 9.525e-06, eta: 13:17:39, time: 0.684, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0293, s0.loss_cls: 0.1665, s0.acc: 93.9016, s0.loss_bbox: 0.2675, s0.loss_mask: 0.2355, s1.loss_cls: 0.0830, s1.acc: 93.8299, s1.loss_bbox: 0.1222, s1.loss_mask: 0.1165, s2.loss_cls: 0.0427, s2.acc: 93.4423, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0548, loss: 1.1941 2023-11-13 19:56:36,347 - mmdet - INFO - Epoch [3][1700/7330] lr: 9.525e-06, eta: 13:17:07, time: 0.675, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0265, s0.loss_cls: 0.1578, s0.acc: 94.3259, s0.loss_bbox: 0.2505, s0.loss_mask: 0.2245, s1.loss_cls: 0.0778, s1.acc: 94.3061, s1.loss_bbox: 0.1162, s1.loss_mask: 0.1123, s2.loss_cls: 0.0402, s2.acc: 93.9680, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0537, loss: 1.1315 2023-11-13 19:57:10,029 - mmdet - INFO - Epoch [3][1750/7330] lr: 9.525e-06, eta: 13:16:35, time: 0.674, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1538, s0.acc: 94.2942, s0.loss_bbox: 0.2473, s0.loss_mask: 0.2292, s1.loss_cls: 0.0759, s1.acc: 94.2601, s1.loss_bbox: 0.1139, s1.loss_mask: 0.1142, s2.loss_cls: 0.0383, s2.acc: 94.2095, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0538, loss: 1.1258 2023-11-13 19:57:43,953 - mmdet - INFO - Epoch [3][1800/7330] lr: 9.525e-06, eta: 13:16:04, time: 0.678, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0269, s0.loss_cls: 0.1558, s0.acc: 94.3435, s0.loss_bbox: 0.2540, s0.loss_mask: 0.2329, s1.loss_cls: 0.0769, s1.acc: 94.3471, s1.loss_bbox: 0.1173, s1.loss_mask: 0.1162, s2.loss_cls: 0.0391, s2.acc: 94.2178, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0549, loss: 1.1460 2023-11-13 19:58:17,668 - mmdet - INFO - Epoch [3][1850/7330] lr: 9.525e-06, eta: 13:15:32, time: 0.674, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0261, s0.loss_cls: 0.1617, s0.acc: 94.1560, s0.loss_bbox: 0.2553, s0.loss_mask: 0.2308, s1.loss_cls: 0.0797, s1.acc: 94.0965, s1.loss_bbox: 0.1181, s1.loss_mask: 0.1144, s2.loss_cls: 0.0401, s2.acc: 94.0249, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0539, loss: 1.1519 2023-11-13 19:58:51,278 - mmdet - INFO - Epoch [3][1900/7330] lr: 9.525e-06, eta: 13:14:59, time: 0.672, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0275, s0.loss_cls: 0.1634, s0.acc: 94.0942, s0.loss_bbox: 0.2544, s0.loss_mask: 0.2283, s1.loss_cls: 0.0811, s1.acc: 94.0739, s1.loss_bbox: 0.1168, s1.loss_mask: 0.1141, s2.loss_cls: 0.0415, s2.acc: 93.7046, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0539, loss: 1.1534 2023-11-13 19:59:25,034 - mmdet - INFO - Epoch [3][1950/7330] lr: 9.525e-06, eta: 13:14:27, time: 0.675, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0267, s0.loss_cls: 0.1673, s0.acc: 93.8865, s0.loss_bbox: 0.2553, s0.loss_mask: 0.2273, s1.loss_cls: 0.0812, s1.acc: 93.9688, s1.loss_bbox: 0.1180, s1.loss_mask: 0.1135, s2.loss_cls: 0.0411, s2.acc: 93.8066, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0536, loss: 1.1571 2023-11-13 19:59:58,796 - mmdet - INFO - Epoch [3][2000/7330] lr: 9.525e-06, eta: 13:13:55, time: 0.675, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0268, s0.loss_cls: 0.1694, s0.acc: 93.8889, s0.loss_bbox: 0.2594, s0.loss_mask: 0.2301, s1.loss_cls: 0.0838, s1.acc: 93.8354, s1.loss_bbox: 0.1190, s1.loss_mask: 0.1140, s2.loss_cls: 0.0429, s2.acc: 93.5470, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0540, loss: 1.1738 2023-11-13 20:00:32,738 - mmdet - INFO - Epoch [3][2050/7330] lr: 9.525e-06, eta: 13:13:24, time: 0.679, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0274, s0.loss_cls: 0.1593, s0.acc: 94.2288, s0.loss_bbox: 0.2530, s0.loss_mask: 0.2280, s1.loss_cls: 0.0780, s1.acc: 94.2118, s1.loss_bbox: 0.1173, s1.loss_mask: 0.1138, s2.loss_cls: 0.0398, s2.acc: 94.0777, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0543, loss: 1.1451 2023-11-13 20:01:06,152 - mmdet - INFO - Epoch [3][2100/7330] lr: 9.525e-06, eta: 13:12:51, time: 0.668, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0269, s0.loss_cls: 0.1623, s0.acc: 94.0947, s0.loss_bbox: 0.2524, s0.loss_mask: 0.2251, s1.loss_cls: 0.0789, s1.acc: 94.0919, s1.loss_bbox: 0.1171, s1.loss_mask: 0.1119, s2.loss_cls: 0.0404, s2.acc: 93.8501, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0530, loss: 1.1384 2023-11-13 20:01:40,022 - mmdet - INFO - Epoch [3][2150/7330] lr: 9.525e-06, eta: 13:12:19, time: 0.677, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0275, s0.loss_cls: 0.1588, s0.acc: 94.1702, s0.loss_bbox: 0.2553, s0.loss_mask: 0.2325, s1.loss_cls: 0.0790, s1.acc: 94.0792, s1.loss_bbox: 0.1188, s1.loss_mask: 0.1157, s2.loss_cls: 0.0401, s2.acc: 93.9207, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0545, loss: 1.1539 2023-11-13 20:02:13,760 - mmdet - INFO - Epoch [3][2200/7330] lr: 9.525e-06, eta: 13:11:47, time: 0.675, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0282, s0.loss_cls: 0.1641, s0.acc: 94.0024, s0.loss_bbox: 0.2507, s0.loss_mask: 0.2267, s1.loss_cls: 0.0813, s1.acc: 93.9596, s1.loss_bbox: 0.1170, s1.loss_mask: 0.1121, s2.loss_cls: 0.0412, s2.acc: 93.8700, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0532, loss: 1.1473 2023-11-13 20:02:47,090 - mmdet - INFO - Epoch [3][2250/7330] lr: 9.525e-06, eta: 13:11:14, time: 0.667, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1538, s0.acc: 94.3635, s0.loss_bbox: 0.2454, s0.loss_mask: 0.2232, s1.loss_cls: 0.0758, s1.acc: 94.3162, s1.loss_bbox: 0.1143, s1.loss_mask: 0.1111, s2.loss_cls: 0.0389, s2.acc: 94.0498, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0526, loss: 1.1106 2023-11-13 20:03:20,700 - mmdet - INFO - Epoch [3][2300/7330] lr: 9.525e-06, eta: 13:10:41, time: 0.672, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0244, s0.loss_cls: 0.1581, s0.acc: 94.3196, s0.loss_bbox: 0.2405, s0.loss_mask: 0.2229, s1.loss_cls: 0.0787, s1.acc: 94.2887, s1.loss_bbox: 0.1129, s1.loss_mask: 0.1112, s2.loss_cls: 0.0398, s2.acc: 94.0337, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0526, loss: 1.1125 2023-11-13 20:03:54,360 - mmdet - INFO - Epoch [3][2350/7330] lr: 9.525e-06, eta: 13:10:09, time: 0.673, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0268, s0.loss_cls: 0.1559, s0.acc: 94.3845, s0.loss_bbox: 0.2494, s0.loss_mask: 0.2247, s1.loss_cls: 0.0779, s1.acc: 94.2801, s1.loss_bbox: 0.1151, s1.loss_mask: 0.1113, s2.loss_cls: 0.0401, s2.acc: 94.0173, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0525, loss: 1.1250 2023-11-13 20:04:27,766 - mmdet - INFO - Epoch [3][2400/7330] lr: 9.525e-06, eta: 13:09:35, time: 0.668, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0268, s0.loss_cls: 0.1632, s0.acc: 93.9402, s0.loss_bbox: 0.2555, s0.loss_mask: 0.2312, s1.loss_cls: 0.0809, s1.acc: 93.8375, s1.loss_bbox: 0.1179, s1.loss_mask: 0.1143, s2.loss_cls: 0.0415, s2.acc: 93.6051, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0541, loss: 1.1588 2023-11-13 20:05:01,053 - mmdet - INFO - Epoch [3][2450/7330] lr: 9.525e-06, eta: 13:09:01, time: 0.666, data_time: 0.031, memory: 30140, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0276, s0.loss_cls: 0.1703, s0.acc: 93.8621, s0.loss_bbox: 0.2565, s0.loss_mask: 0.2220, s1.loss_cls: 0.0837, s1.acc: 93.8507, s1.loss_bbox: 0.1184, s1.loss_mask: 0.1112, s2.loss_cls: 0.0423, s2.acc: 93.6746, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0524, loss: 1.1577 2023-11-13 20:05:34,516 - mmdet - INFO - Epoch [3][2500/7330] lr: 9.525e-06, eta: 13:08:28, time: 0.669, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0275, s0.loss_cls: 0.1588, s0.acc: 94.0994, s0.loss_bbox: 0.2513, s0.loss_mask: 0.2241, s1.loss_cls: 0.0799, s1.acc: 93.9973, s1.loss_bbox: 0.1170, s1.loss_mask: 0.1118, s2.loss_cls: 0.0410, s2.acc: 93.6990, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0530, loss: 1.1388 2023-11-13 20:06:07,246 - mmdet - INFO - Epoch [3][2550/7330] lr: 9.525e-06, eta: 13:07:52, time: 0.655, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0247, s0.loss_cls: 0.1495, s0.acc: 94.5945, s0.loss_bbox: 0.2398, s0.loss_mask: 0.2229, s1.loss_cls: 0.0734, s1.acc: 94.5849, s1.loss_bbox: 0.1125, s1.loss_mask: 0.1115, s2.loss_cls: 0.0377, s2.acc: 94.2513, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0528, loss: 1.0951 2023-11-13 20:06:40,501 - mmdet - INFO - Epoch [3][2600/7330] lr: 9.525e-06, eta: 13:07:18, time: 0.665, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0278, s0.loss_cls: 0.1591, s0.acc: 94.2539, s0.loss_bbox: 0.2551, s0.loss_mask: 0.2298, s1.loss_cls: 0.0760, s1.acc: 94.3235, s1.loss_bbox: 0.1168, s1.loss_mask: 0.1150, s2.loss_cls: 0.0388, s2.acc: 94.1976, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0541, loss: 1.1448 2023-11-13 20:07:13,663 - mmdet - INFO - Epoch [3][2650/7330] lr: 9.525e-06, eta: 13:06:43, time: 0.663, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0281, s0.loss_cls: 0.1634, s0.acc: 94.0088, s0.loss_bbox: 0.2557, s0.loss_mask: 0.2266, s1.loss_cls: 0.0812, s1.acc: 93.9964, s1.loss_bbox: 0.1186, s1.loss_mask: 0.1131, s2.loss_cls: 0.0416, s2.acc: 93.6563, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0531, loss: 1.1546 2023-11-13 20:07:46,797 - mmdet - INFO - Epoch [3][2700/7330] lr: 9.525e-06, eta: 13:06:09, time: 0.663, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0270, s0.loss_cls: 0.1579, s0.acc: 94.2378, s0.loss_bbox: 0.2519, s0.loss_mask: 0.2326, s1.loss_cls: 0.0780, s1.acc: 94.1018, s1.loss_bbox: 0.1168, s1.loss_mask: 0.1161, s2.loss_cls: 0.0397, s2.acc: 93.8172, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0545, loss: 1.1465 2023-11-13 20:08:19,937 - mmdet - INFO - Epoch [3][2750/7330] lr: 9.525e-06, eta: 13:05:34, time: 0.663, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0270, s0.loss_cls: 0.1641, s0.acc: 93.9636, s0.loss_bbox: 0.2536, s0.loss_mask: 0.2301, s1.loss_cls: 0.0803, s1.acc: 93.9815, s1.loss_bbox: 0.1165, s1.loss_mask: 0.1138, s2.loss_cls: 0.0407, s2.acc: 93.8707, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0538, loss: 1.1544 2023-11-13 20:08:53,237 - mmdet - INFO - Epoch [3][2800/7330] lr: 9.525e-06, eta: 13:05:01, time: 0.666, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0271, s0.loss_cls: 0.1647, s0.acc: 94.0386, s0.loss_bbox: 0.2531, s0.loss_mask: 0.2316, s1.loss_cls: 0.0811, s1.acc: 93.9483, s1.loss_bbox: 0.1161, s1.loss_mask: 0.1154, s2.loss_cls: 0.0407, s2.acc: 93.8696, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0548, loss: 1.1578 2023-11-13 20:09:26,741 - mmdet - INFO - Epoch [3][2850/7330] lr: 9.525e-06, eta: 13:04:28, time: 0.670, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1522, s0.acc: 94.4968, s0.loss_bbox: 0.2417, s0.loss_mask: 0.2236, s1.loss_cls: 0.0748, s1.acc: 94.4684, s1.loss_bbox: 0.1131, s1.loss_mask: 0.1123, s2.loss_cls: 0.0382, s2.acc: 94.2130, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0528, loss: 1.1047 2023-11-13 20:09:59,624 - mmdet - INFO - Epoch [3][2900/7330] lr: 9.525e-06, eta: 13:03:52, time: 0.658, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1521, s0.acc: 94.5701, s0.loss_bbox: 0.2383, s0.loss_mask: 0.2206, s1.loss_cls: 0.0738, s1.acc: 94.5772, s1.loss_bbox: 0.1106, s1.loss_mask: 0.1108, s2.loss_cls: 0.0382, s2.acc: 94.2796, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0519, loss: 1.0878 2023-11-13 20:10:32,514 - mmdet - INFO - Epoch [3][2950/7330] lr: 9.525e-06, eta: 13:03:17, time: 0.658, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0261, s0.loss_cls: 0.1574, s0.acc: 94.2449, s0.loss_bbox: 0.2501, s0.loss_mask: 0.2257, s1.loss_cls: 0.0772, s1.acc: 94.1509, s1.loss_bbox: 0.1146, s1.loss_mask: 0.1120, s2.loss_cls: 0.0388, s2.acc: 94.0948, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0525, loss: 1.1267 2023-11-13 20:11:05,420 - mmdet - INFO - Epoch [3][3000/7330] lr: 9.525e-06, eta: 13:02:41, time: 0.658, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1524, s0.acc: 94.3691, s0.loss_bbox: 0.2449, s0.loss_mask: 0.2234, s1.loss_cls: 0.0743, s1.acc: 94.4141, s1.loss_bbox: 0.1147, s1.loss_mask: 0.1125, s2.loss_cls: 0.0381, s2.acc: 94.1546, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0533, loss: 1.1088 2023-11-13 20:11:38,641 - mmdet - INFO - Epoch [3][3050/7330] lr: 9.525e-06, eta: 13:02:07, time: 0.664, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0283, s0.loss_cls: 0.1606, s0.acc: 94.1665, s0.loss_bbox: 0.2535, s0.loss_mask: 0.2294, s1.loss_cls: 0.0801, s1.acc: 94.0726, s1.loss_bbox: 0.1156, s1.loss_mask: 0.1141, s2.loss_cls: 0.0408, s2.acc: 93.8364, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0537, loss: 1.1500 2023-11-13 20:12:11,520 - mmdet - INFO - Epoch [3][3100/7330] lr: 9.525e-06, eta: 13:01:32, time: 0.658, data_time: 0.032, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1544, s0.acc: 94.3149, s0.loss_bbox: 0.2441, s0.loss_mask: 0.2276, s1.loss_cls: 0.0768, s1.acc: 94.2372, s1.loss_bbox: 0.1147, s1.loss_mask: 0.1142, s2.loss_cls: 0.0393, s2.acc: 94.0060, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0541, loss: 1.1223 2023-11-13 20:12:44,721 - mmdet - INFO - Epoch [3][3150/7330] lr: 9.525e-06, eta: 13:00:57, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0274, s0.loss_cls: 0.1614, s0.acc: 94.1064, s0.loss_bbox: 0.2546, s0.loss_mask: 0.2296, s1.loss_cls: 0.0801, s1.acc: 93.9753, s1.loss_bbox: 0.1172, s1.loss_mask: 0.1138, s2.loss_cls: 0.0406, s2.acc: 93.8585, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0539, loss: 1.1520 2023-11-13 20:13:17,719 - mmdet - INFO - Epoch [3][3200/7330] lr: 9.525e-06, eta: 13:00:22, time: 0.660, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1567, s0.acc: 94.3193, s0.loss_bbox: 0.2448, s0.loss_mask: 0.2270, s1.loss_cls: 0.0766, s1.acc: 94.3749, s1.loss_bbox: 0.1142, s1.loss_mask: 0.1132, s2.loss_cls: 0.0390, s2.acc: 94.1227, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0533, loss: 1.1179 2023-11-13 20:13:50,876 - mmdet - INFO - Epoch [3][3250/7330] lr: 9.525e-06, eta: 12:59:48, time: 0.662, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0252, s0.loss_cls: 0.1594, s0.acc: 94.1433, s0.loss_bbox: 0.2484, s0.loss_mask: 0.2282, s1.loss_cls: 0.0788, s1.acc: 94.1123, s1.loss_bbox: 0.1159, s1.loss_mask: 0.1136, s2.loss_cls: 0.0403, s2.acc: 93.8074, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0536, loss: 1.1355 2023-11-13 20:14:24,347 - mmdet - INFO - Epoch [3][3300/7330] lr: 9.525e-06, eta: 12:59:15, time: 0.670, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0272, s0.loss_cls: 0.1608, s0.acc: 94.1477, s0.loss_bbox: 0.2532, s0.loss_mask: 0.2264, s1.loss_cls: 0.0781, s1.acc: 94.2394, s1.loss_bbox: 0.1176, s1.loss_mask: 0.1137, s2.loss_cls: 0.0405, s2.acc: 93.9721, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0540, loss: 1.1460 2023-11-13 20:14:57,459 - mmdet - INFO - Epoch [3][3350/7330] lr: 9.525e-06, eta: 12:58:40, time: 0.662, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0255, s0.loss_cls: 0.1564, s0.acc: 94.2224, s0.loss_bbox: 0.2504, s0.loss_mask: 0.2293, s1.loss_cls: 0.0769, s1.acc: 94.2402, s1.loss_bbox: 0.1163, s1.loss_mask: 0.1158, s2.loss_cls: 0.0393, s2.acc: 93.9497, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0549, loss: 1.1379 2023-11-13 20:15:30,336 - mmdet - INFO - Epoch [3][3400/7330] lr: 9.525e-06, eta: 12:58:05, time: 0.658, data_time: 0.031, memory: 30140, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0267, s0.loss_cls: 0.1594, s0.acc: 94.2046, s0.loss_bbox: 0.2517, s0.loss_mask: 0.2312, s1.loss_cls: 0.0774, s1.acc: 94.2005, s1.loss_bbox: 0.1171, s1.loss_mask: 0.1156, s2.loss_cls: 0.0398, s2.acc: 93.9861, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0545, loss: 1.1467 2023-11-13 20:16:03,524 - mmdet - INFO - Epoch [3][3450/7330] lr: 9.525e-06, eta: 12:57:31, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0263, s0.loss_cls: 0.1542, s0.acc: 94.3069, s0.loss_bbox: 0.2502, s0.loss_mask: 0.2310, s1.loss_cls: 0.0767, s1.acc: 94.2361, s1.loss_bbox: 0.1169, s1.loss_mask: 0.1147, s2.loss_cls: 0.0397, s2.acc: 93.8823, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0541, loss: 1.1367 2023-11-13 20:16:36,708 - mmdet - INFO - Epoch [3][3500/7330] lr: 9.525e-06, eta: 12:56:57, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0273, s0.loss_cls: 0.1716, s0.acc: 93.6924, s0.loss_bbox: 0.2640, s0.loss_mask: 0.2338, s1.loss_cls: 0.0851, s1.acc: 93.6718, s1.loss_bbox: 0.1219, s1.loss_mask: 0.1155, s2.loss_cls: 0.0439, s2.acc: 93.3184, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0545, loss: 1.1930 2023-11-13 20:17:10,076 - mmdet - INFO - Epoch [3][3550/7330] lr: 9.525e-06, eta: 12:56:23, time: 0.667, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0269, s0.loss_cls: 0.1633, s0.acc: 94.0317, s0.loss_bbox: 0.2571, s0.loss_mask: 0.2239, s1.loss_cls: 0.0804, s1.acc: 94.1097, s1.loss_bbox: 0.1194, s1.loss_mask: 0.1124, s2.loss_cls: 0.0414, s2.acc: 93.7317, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0536, loss: 1.1519 2023-11-13 20:17:43,093 - mmdet - INFO - Epoch [3][3600/7330] lr: 9.525e-06, eta: 12:55:48, time: 0.660, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0261, s0.loss_cls: 0.1567, s0.acc: 94.3557, s0.loss_bbox: 0.2456, s0.loss_mask: 0.2268, s1.loss_cls: 0.0774, s1.acc: 94.2945, s1.loss_bbox: 0.1147, s1.loss_mask: 0.1134, s2.loss_cls: 0.0395, s2.acc: 94.1435, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0534, loss: 1.1234 2023-11-13 20:18:16,016 - mmdet - INFO - Epoch [3][3650/7330] lr: 9.525e-06, eta: 12:55:13, time: 0.658, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0258, s0.loss_cls: 0.1556, s0.acc: 94.3242, s0.loss_bbox: 0.2535, s0.loss_mask: 0.2267, s1.loss_cls: 0.0769, s1.acc: 94.2961, s1.loss_bbox: 0.1174, s1.loss_mask: 0.1138, s2.loss_cls: 0.0393, s2.acc: 94.1239, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0534, loss: 1.1350 2023-11-13 20:18:49,238 - mmdet - INFO - Epoch [3][3700/7330] lr: 9.525e-06, eta: 12:54:39, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1634, s0.acc: 93.9722, s0.loss_bbox: 0.2631, s0.loss_mask: 0.2303, s1.loss_cls: 0.0798, s1.acc: 94.0257, s1.loss_bbox: 0.1217, s1.loss_mask: 0.1143, s2.loss_cls: 0.0404, s2.acc: 93.8166, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0544, loss: 1.1687 2023-11-13 20:19:22,601 - mmdet - INFO - Epoch [3][3750/7330] lr: 9.525e-06, eta: 12:54:06, time: 0.667, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1539, s0.acc: 94.2710, s0.loss_bbox: 0.2475, s0.loss_mask: 0.2264, s1.loss_cls: 0.0765, s1.acc: 94.2057, s1.loss_bbox: 0.1153, s1.loss_mask: 0.1138, s2.loss_cls: 0.0395, s2.acc: 93.8060, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0538, loss: 1.1249 2023-11-13 20:19:55,796 - mmdet - INFO - Epoch [3][3800/7330] lr: 9.525e-06, eta: 12:53:32, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0270, s0.loss_cls: 0.1621, s0.acc: 94.1130, s0.loss_bbox: 0.2570, s0.loss_mask: 0.2291, s1.loss_cls: 0.0797, s1.acc: 94.1189, s1.loss_bbox: 0.1183, s1.loss_mask: 0.1142, s2.loss_cls: 0.0412, s2.acc: 93.7991, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0541, loss: 1.1562 2023-11-13 20:20:29,022 - mmdet - INFO - Epoch [3][3850/7330] lr: 9.525e-06, eta: 12:52:58, time: 0.665, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0259, s0.loss_cls: 0.1571, s0.acc: 94.2664, s0.loss_bbox: 0.2493, s0.loss_mask: 0.2249, s1.loss_cls: 0.0768, s1.acc: 94.2862, s1.loss_bbox: 0.1148, s1.loss_mask: 0.1120, s2.loss_cls: 0.0390, s2.acc: 94.0604, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0531, loss: 1.1245 2023-11-13 20:21:02,112 - mmdet - INFO - Epoch [3][3900/7330] lr: 9.525e-06, eta: 12:52:23, time: 0.662, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0273, s0.loss_cls: 0.1596, s0.acc: 94.1157, s0.loss_bbox: 0.2534, s0.loss_mask: 0.2294, s1.loss_cls: 0.0786, s1.acc: 94.0616, s1.loss_bbox: 0.1174, s1.loss_mask: 0.1140, s2.loss_cls: 0.0403, s2.acc: 93.8334, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0538, loss: 1.1498 2023-11-13 20:21:34,798 - mmdet - INFO - Epoch [3][3950/7330] lr: 9.525e-06, eta: 12:51:47, time: 0.654, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0244, s0.loss_cls: 0.1475, s0.acc: 94.5776, s0.loss_bbox: 0.2294, s0.loss_mask: 0.2173, s1.loss_cls: 0.0728, s1.acc: 94.6266, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1094, s2.loss_cls: 0.0372, s2.acc: 94.4311, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0517, loss: 1.0676 2023-11-13 20:22:07,839 - mmdet - INFO - Epoch [3][4000/7330] lr: 9.525e-06, eta: 12:51:12, time: 0.661, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0255, s0.loss_cls: 0.1589, s0.acc: 94.2151, s0.loss_bbox: 0.2484, s0.loss_mask: 0.2244, s1.loss_cls: 0.0797, s1.acc: 94.1367, s1.loss_bbox: 0.1160, s1.loss_mask: 0.1121, s2.loss_cls: 0.0404, s2.acc: 93.8747, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0531, loss: 1.1287 2023-11-13 20:22:41,375 - mmdet - INFO - Epoch [3][4050/7330] lr: 9.525e-06, eta: 12:50:39, time: 0.671, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0276, s0.loss_cls: 0.1613, s0.acc: 94.0969, s0.loss_bbox: 0.2530, s0.loss_mask: 0.2290, s1.loss_cls: 0.0803, s1.acc: 94.0323, s1.loss_bbox: 0.1182, s1.loss_mask: 0.1142, s2.loss_cls: 0.0420, s2.acc: 93.6552, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0543, loss: 1.1524 2023-11-13 20:23:14,712 - mmdet - INFO - Epoch [3][4100/7330] lr: 9.525e-06, eta: 12:50:06, time: 0.667, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0273, s0.loss_cls: 0.1636, s0.acc: 93.9734, s0.loss_bbox: 0.2607, s0.loss_mask: 0.2318, s1.loss_cls: 0.0802, s1.acc: 93.9988, s1.loss_bbox: 0.1207, s1.loss_mask: 0.1156, s2.loss_cls: 0.0412, s2.acc: 93.6895, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0550, loss: 1.1701 2023-11-13 20:23:47,911 - mmdet - INFO - Epoch [3][4150/7330] lr: 9.525e-06, eta: 12:49:32, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0281, s0.loss_cls: 0.1632, s0.acc: 94.0054, s0.loss_bbox: 0.2536, s0.loss_mask: 0.2249, s1.loss_cls: 0.0795, s1.acc: 94.0678, s1.loss_bbox: 0.1178, s1.loss_mask: 0.1128, s2.loss_cls: 0.0407, s2.acc: 93.7324, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0535, loss: 1.1456 2023-11-13 20:24:21,184 - mmdet - INFO - Epoch [3][4200/7330] lr: 9.525e-06, eta: 12:48:58, time: 0.666, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0267, s0.loss_cls: 0.1638, s0.acc: 94.0603, s0.loss_bbox: 0.2528, s0.loss_mask: 0.2251, s1.loss_cls: 0.0801, s1.acc: 94.0990, s1.loss_bbox: 0.1169, s1.loss_mask: 0.1133, s2.loss_cls: 0.0407, s2.acc: 93.8431, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0537, loss: 1.1443 2023-11-13 20:24:54,557 - mmdet - INFO - Epoch [3][4250/7330] lr: 9.525e-06, eta: 12:48:25, time: 0.667, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1515, s0.acc: 94.4619, s0.loss_bbox: 0.2426, s0.loss_mask: 0.2235, s1.loss_cls: 0.0752, s1.acc: 94.3546, s1.loss_bbox: 0.1138, s1.loss_mask: 0.1129, s2.loss_cls: 0.0386, s2.acc: 94.0553, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0536, loss: 1.1084 2023-11-13 20:25:27,724 - mmdet - INFO - Epoch [3][4300/7330] lr: 9.525e-06, eta: 12:47:50, time: 0.663, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0259, s0.loss_cls: 0.1601, s0.acc: 94.1887, s0.loss_bbox: 0.2505, s0.loss_mask: 0.2299, s1.loss_cls: 0.0787, s1.acc: 94.2242, s1.loss_bbox: 0.1158, s1.loss_mask: 0.1143, s2.loss_cls: 0.0403, s2.acc: 93.9000, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0541, loss: 1.1389 2023-11-13 20:26:00,729 - mmdet - INFO - Epoch [3][4350/7330] lr: 9.525e-06, eta: 12:47:16, time: 0.660, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0283, s0.loss_cls: 0.1661, s0.acc: 93.9856, s0.loss_bbox: 0.2545, s0.loss_mask: 0.2295, s1.loss_cls: 0.0833, s1.acc: 93.9029, s1.loss_bbox: 0.1166, s1.loss_mask: 0.1152, s2.loss_cls: 0.0426, s2.acc: 93.6287, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0545, loss: 1.1618 2023-11-13 20:26:33,938 - mmdet - INFO - Epoch [3][4400/7330] lr: 9.525e-06, eta: 12:46:42, time: 0.664, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0287, s0.loss_cls: 0.1706, s0.acc: 93.7751, s0.loss_bbox: 0.2626, s0.loss_mask: 0.2310, s1.loss_cls: 0.0842, s1.acc: 93.7083, s1.loss_bbox: 0.1204, s1.loss_mask: 0.1158, s2.loss_cls: 0.0430, s2.acc: 93.4655, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0549, loss: 1.1875 2023-11-13 20:27:07,257 - mmdet - INFO - Epoch [3][4450/7330] lr: 9.525e-06, eta: 12:46:08, time: 0.666, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0267, s0.loss_cls: 0.1653, s0.acc: 93.9924, s0.loss_bbox: 0.2522, s0.loss_mask: 0.2276, s1.loss_cls: 0.0811, s1.acc: 93.9856, s1.loss_bbox: 0.1159, s1.loss_mask: 0.1133, s2.loss_cls: 0.0416, s2.acc: 93.7012, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0536, loss: 1.1514 2023-11-13 20:27:40,109 - mmdet - INFO - Epoch [3][4500/7330] lr: 9.525e-06, eta: 12:45:33, time: 0.657, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1447, s0.acc: 94.7712, s0.loss_bbox: 0.2351, s0.loss_mask: 0.2172, s1.loss_cls: 0.0715, s1.acc: 94.6986, s1.loss_bbox: 0.1115, s1.loss_mask: 0.1095, s2.loss_cls: 0.0372, s2.acc: 94.3371, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0516, loss: 1.0699 2023-11-13 20:28:13,616 - mmdet - INFO - Epoch [3][4550/7330] lr: 9.525e-06, eta: 12:45:00, time: 0.670, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0272, s0.loss_cls: 0.1622, s0.acc: 94.0137, s0.loss_bbox: 0.2558, s0.loss_mask: 0.2288, s1.loss_cls: 0.0799, s1.acc: 94.0661, s1.loss_bbox: 0.1172, s1.loss_mask: 0.1144, s2.loss_cls: 0.0413, s2.acc: 93.6857, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0542, loss: 1.1538 2023-11-13 20:28:46,596 - mmdet - INFO - Epoch [3][4600/7330] lr: 9.525e-06, eta: 12:44:25, time: 0.660, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0274, s0.loss_cls: 0.1578, s0.acc: 94.3774, s0.loss_bbox: 0.2446, s0.loss_mask: 0.2275, s1.loss_cls: 0.0781, s1.acc: 94.2832, s1.loss_bbox: 0.1140, s1.loss_mask: 0.1121, s2.loss_cls: 0.0404, s2.acc: 93.9933, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0530, loss: 1.1240 2023-11-13 20:29:19,400 - mmdet - INFO - Epoch [3][4650/7330] lr: 9.525e-06, eta: 12:43:50, time: 0.656, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0244, s0.loss_cls: 0.1540, s0.acc: 94.4226, s0.loss_bbox: 0.2395, s0.loss_mask: 0.2201, s1.loss_cls: 0.0754, s1.acc: 94.3956, s1.loss_bbox: 0.1114, s1.loss_mask: 0.1107, s2.loss_cls: 0.0383, s2.acc: 94.1540, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0527, loss: 1.0953 2023-11-13 20:29:52,164 - mmdet - INFO - Epoch [3][4700/7330] lr: 9.525e-06, eta: 12:43:14, time: 0.655, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1552, s0.acc: 94.2151, s0.loss_bbox: 0.2457, s0.loss_mask: 0.2261, s1.loss_cls: 0.0775, s1.acc: 94.0206, s1.loss_bbox: 0.1141, s1.loss_mask: 0.1129, s2.loss_cls: 0.0396, s2.acc: 93.8616, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0534, loss: 1.1191 2023-11-13 20:30:25,089 - mmdet - INFO - Epoch [3][4750/7330] lr: 9.525e-06, eta: 12:42:39, time: 0.659, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0247, s0.loss_cls: 0.1525, s0.acc: 94.3198, s0.loss_bbox: 0.2444, s0.loss_mask: 0.2238, s1.loss_cls: 0.0754, s1.acc: 94.2481, s1.loss_bbox: 0.1138, s1.loss_mask: 0.1122, s2.loss_cls: 0.0391, s2.acc: 93.9457, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0528, loss: 1.1084 2023-11-13 20:30:57,936 - mmdet - INFO - Epoch [3][4800/7330] lr: 9.525e-06, eta: 12:42:04, time: 0.657, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1536, s0.acc: 94.4558, s0.loss_bbox: 0.2399, s0.loss_mask: 0.2248, s1.loss_cls: 0.0767, s1.acc: 94.3843, s1.loss_bbox: 0.1110, s1.loss_mask: 0.1117, s2.loss_cls: 0.0393, s2.acc: 94.1055, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0528, loss: 1.1018 2023-11-13 20:31:31,190 - mmdet - INFO - Epoch [3][4850/7330] lr: 9.525e-06, eta: 12:41:30, time: 0.665, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1564, s0.acc: 94.2986, s0.loss_bbox: 0.2508, s0.loss_mask: 0.2195, s1.loss_cls: 0.0766, s1.acc: 94.3518, s1.loss_bbox: 0.1176, s1.loss_mask: 0.1108, s2.loss_cls: 0.0392, s2.acc: 93.9584, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0524, loss: 1.1220 2023-11-13 20:32:04,116 - mmdet - INFO - Epoch [3][4900/7330] lr: 9.525e-06, eta: 12:40:55, time: 0.659, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0276, s0.loss_cls: 0.1537, s0.acc: 94.4250, s0.loss_bbox: 0.2406, s0.loss_mask: 0.2249, s1.loss_cls: 0.0751, s1.acc: 94.4791, s1.loss_bbox: 0.1110, s1.loss_mask: 0.1115, s2.loss_cls: 0.0385, s2.acc: 94.1518, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0528, loss: 1.1088 2023-11-13 20:32:37,359 - mmdet - INFO - Epoch [3][4950/7330] lr: 9.525e-06, eta: 12:40:21, time: 0.665, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0263, s0.loss_cls: 0.1599, s0.acc: 94.1663, s0.loss_bbox: 0.2509, s0.loss_mask: 0.2275, s1.loss_cls: 0.0781, s1.acc: 94.1675, s1.loss_bbox: 0.1157, s1.loss_mask: 0.1132, s2.loss_cls: 0.0398, s2.acc: 93.9526, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0537, loss: 1.1353 2023-11-13 20:33:10,750 - mmdet - INFO - Epoch [3][5000/7330] lr: 9.525e-06, eta: 12:39:48, time: 0.668, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0268, s0.loss_cls: 0.1649, s0.acc: 93.9570, s0.loss_bbox: 0.2586, s0.loss_mask: 0.2311, s1.loss_cls: 0.0809, s1.acc: 93.9890, s1.loss_bbox: 0.1190, s1.loss_mask: 0.1144, s2.loss_cls: 0.0411, s2.acc: 93.7398, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0542, loss: 1.1650 2023-11-13 20:33:44,023 - mmdet - INFO - Epoch [3][5050/7330] lr: 9.525e-06, eta: 12:39:14, time: 0.666, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0265, s0.loss_cls: 0.1645, s0.acc: 94.0244, s0.loss_bbox: 0.2557, s0.loss_mask: 0.2279, s1.loss_cls: 0.0823, s1.acc: 93.9530, s1.loss_bbox: 0.1170, s1.loss_mask: 0.1148, s2.loss_cls: 0.0414, s2.acc: 93.7538, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0545, loss: 1.1578 2023-11-13 20:34:17,294 - mmdet - INFO - Epoch [3][5100/7330] lr: 9.525e-06, eta: 12:38:40, time: 0.665, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0262, s0.loss_cls: 0.1602, s0.acc: 94.0852, s0.loss_bbox: 0.2509, s0.loss_mask: 0.2200, s1.loss_cls: 0.0794, s1.acc: 94.0279, s1.loss_bbox: 0.1172, s1.loss_mask: 0.1103, s2.loss_cls: 0.0408, s2.acc: 93.6913, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0523, loss: 1.1290 2023-11-13 20:34:50,749 - mmdet - INFO - Epoch [3][5150/7330] lr: 9.525e-06, eta: 12:38:07, time: 0.669, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0279, s0.loss_cls: 0.1662, s0.acc: 94.0476, s0.loss_bbox: 0.2629, s0.loss_mask: 0.2348, s1.loss_cls: 0.0814, s1.acc: 94.0749, s1.loss_bbox: 0.1214, s1.loss_mask: 0.1163, s2.loss_cls: 0.0422, s2.acc: 93.6973, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0548, loss: 1.1828 2023-11-13 20:35:23,638 - mmdet - INFO - Epoch [3][5200/7330] lr: 9.525e-06, eta: 12:37:32, time: 0.658, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0248, s0.loss_cls: 0.1548, s0.acc: 94.3132, s0.loss_bbox: 0.2437, s0.loss_mask: 0.2240, s1.loss_cls: 0.0771, s1.acc: 94.2363, s1.loss_bbox: 0.1147, s1.loss_mask: 0.1117, s2.loss_cls: 0.0395, s2.acc: 93.8865, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0528, loss: 1.1142 2023-11-13 20:35:56,966 - mmdet - INFO - Epoch [3][5250/7330] lr: 9.525e-06, eta: 12:36:59, time: 0.667, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0267, s0.loss_cls: 0.1597, s0.acc: 94.1514, s0.loss_bbox: 0.2527, s0.loss_mask: 0.2298, s1.loss_cls: 0.0796, s1.acc: 94.0376, s1.loss_bbox: 0.1185, s1.loss_mask: 0.1150, s2.loss_cls: 0.0408, s2.acc: 93.7238, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0547, loss: 1.1504 2023-11-13 20:36:30,222 - mmdet - INFO - Epoch [3][5300/7330] lr: 9.525e-06, eta: 12:36:25, time: 0.665, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0259, s0.loss_cls: 0.1632, s0.acc: 94.0354, s0.loss_bbox: 0.2589, s0.loss_mask: 0.2304, s1.loss_cls: 0.0800, s1.acc: 94.0224, s1.loss_bbox: 0.1207, s1.loss_mask: 0.1155, s2.loss_cls: 0.0411, s2.acc: 93.7012, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0547, loss: 1.1637 2023-11-13 20:37:03,433 - mmdet - INFO - Epoch [3][5350/7330] lr: 9.525e-06, eta: 12:35:51, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0268, s0.loss_cls: 0.1626, s0.acc: 94.1470, s0.loss_bbox: 0.2479, s0.loss_mask: 0.2254, s1.loss_cls: 0.0801, s1.acc: 94.1228, s1.loss_bbox: 0.1154, s1.loss_mask: 0.1124, s2.loss_cls: 0.0409, s2.acc: 93.8851, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0535, loss: 1.1376 2023-11-13 20:37:36,481 - mmdet - INFO - Epoch [3][5400/7330] lr: 9.525e-06, eta: 12:35:17, time: 0.661, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0269, s0.loss_cls: 0.1676, s0.acc: 93.9719, s0.loss_bbox: 0.2521, s0.loss_mask: 0.2299, s1.loss_cls: 0.0827, s1.acc: 93.9742, s1.loss_bbox: 0.1159, s1.loss_mask: 0.1140, s2.loss_cls: 0.0412, s2.acc: 93.8132, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0538, loss: 1.1554 2023-11-13 20:38:09,498 - mmdet - INFO - Epoch [3][5450/7330] lr: 9.525e-06, eta: 12:34:42, time: 0.660, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0256, s0.loss_cls: 0.1558, s0.acc: 94.3230, s0.loss_bbox: 0.2454, s0.loss_mask: 0.2217, s1.loss_cls: 0.0754, s1.acc: 94.4264, s1.loss_bbox: 0.1127, s1.loss_mask: 0.1114, s2.loss_cls: 0.0384, s2.acc: 94.1330, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0527, loss: 1.1102 2023-11-13 20:38:42,588 - mmdet - INFO - Epoch [3][5500/7330] lr: 9.525e-06, eta: 12:34:08, time: 0.662, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0258, s0.loss_cls: 0.1553, s0.acc: 94.2776, s0.loss_bbox: 0.2455, s0.loss_mask: 0.2253, s1.loss_cls: 0.0759, s1.acc: 94.3032, s1.loss_bbox: 0.1130, s1.loss_mask: 0.1127, s2.loss_cls: 0.0387, s2.acc: 94.0677, s2.loss_bbox: 0.0468, s2.loss_mask: 0.0529, loss: 1.1159 2023-11-13 20:39:16,167 - mmdet - INFO - Epoch [3][5550/7330] lr: 9.525e-06, eta: 12:33:35, time: 0.672, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0274, s0.loss_cls: 0.1599, s0.acc: 94.1599, s0.loss_bbox: 0.2497, s0.loss_mask: 0.2301, s1.loss_cls: 0.0784, s1.acc: 94.1813, s1.loss_bbox: 0.1157, s1.loss_mask: 0.1157, s2.loss_cls: 0.0403, s2.acc: 93.8823, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0551, loss: 1.1447 2023-11-13 20:39:49,252 - mmdet - INFO - Epoch [3][5600/7330] lr: 9.525e-06, eta: 12:33:01, time: 0.662, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0255, s0.loss_cls: 0.1534, s0.acc: 94.5308, s0.loss_bbox: 0.2395, s0.loss_mask: 0.2257, s1.loss_cls: 0.0743, s1.acc: 94.5199, s1.loss_bbox: 0.1108, s1.loss_mask: 0.1127, s2.loss_cls: 0.0376, s2.acc: 94.3520, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0534, loss: 1.1021 2023-11-13 20:40:22,382 - mmdet - INFO - Epoch [3][5650/7330] lr: 9.525e-06, eta: 12:32:27, time: 0.663, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0267, s0.loss_cls: 0.1562, s0.acc: 94.3096, s0.loss_bbox: 0.2490, s0.loss_mask: 0.2262, s1.loss_cls: 0.0774, s1.acc: 94.3182, s1.loss_bbox: 0.1153, s1.loss_mask: 0.1132, s2.loss_cls: 0.0395, s2.acc: 94.0997, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0536, loss: 1.1312 2023-11-13 20:40:56,049 - mmdet - INFO - Epoch [3][5700/7330] lr: 9.525e-06, eta: 12:31:54, time: 0.673, data_time: 0.031, memory: 30140, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0279, s0.loss_cls: 0.1635, s0.acc: 94.0549, s0.loss_bbox: 0.2596, s0.loss_mask: 0.2323, s1.loss_cls: 0.0798, s1.acc: 94.1522, s1.loss_bbox: 0.1181, s1.loss_mask: 0.1155, s2.loss_cls: 0.0404, s2.acc: 93.9261, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0544, loss: 1.1664 2023-11-13 20:41:29,429 - mmdet - INFO - Epoch [3][5750/7330] lr: 9.525e-06, eta: 12:31:21, time: 0.668, data_time: 0.031, memory: 30140, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0273, s0.loss_cls: 0.1675, s0.acc: 93.8032, s0.loss_bbox: 0.2550, s0.loss_mask: 0.2330, s1.loss_cls: 0.0832, s1.acc: 93.7614, s1.loss_bbox: 0.1189, s1.loss_mask: 0.1164, s2.loss_cls: 0.0430, s2.acc: 93.4475, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0547, loss: 1.1726 2023-11-13 20:42:02,608 - mmdet - INFO - Epoch [3][5800/7330] lr: 9.525e-06, eta: 12:30:47, time: 0.664, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0271, s0.loss_cls: 0.1649, s0.acc: 93.9563, s0.loss_bbox: 0.2553, s0.loss_mask: 0.2223, s1.loss_cls: 0.0806, s1.acc: 93.9986, s1.loss_bbox: 0.1186, s1.loss_mask: 0.1112, s2.loss_cls: 0.0409, s2.acc: 93.8357, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0526, loss: 1.1479 2023-11-13 20:42:35,473 - mmdet - INFO - Epoch [3][5850/7330] lr: 9.525e-06, eta: 12:30:12, time: 0.657, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1535, s0.acc: 94.3999, s0.loss_bbox: 0.2423, s0.loss_mask: 0.2218, s1.loss_cls: 0.0769, s1.acc: 94.2592, s1.loss_bbox: 0.1123, s1.loss_mask: 0.1127, s2.loss_cls: 0.0397, s2.acc: 93.9576, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0539, loss: 1.1090 2023-11-13 20:43:08,665 - mmdet - INFO - Epoch [3][5900/7330] lr: 9.525e-06, eta: 12:29:38, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1590, s0.acc: 94.2532, s0.loss_bbox: 0.2481, s0.loss_mask: 0.2238, s1.loss_cls: 0.0783, s1.acc: 94.2319, s1.loss_bbox: 0.1152, s1.loss_mask: 0.1121, s2.loss_cls: 0.0401, s2.acc: 93.8979, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0529, loss: 1.1229 2023-11-13 20:43:41,666 - mmdet - INFO - Epoch [3][5950/7330] lr: 9.525e-06, eta: 12:29:03, time: 0.660, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0273, s0.loss_cls: 0.1590, s0.acc: 94.1023, s0.loss_bbox: 0.2534, s0.loss_mask: 0.2257, s1.loss_cls: 0.0785, s1.acc: 94.0988, s1.loss_bbox: 0.1165, s1.loss_mask: 0.1131, s2.loss_cls: 0.0402, s2.acc: 93.8436, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0535, loss: 1.1398 2023-11-13 20:44:14,875 - mmdet - INFO - Epoch [3][6000/7330] lr: 9.525e-06, eta: 12:28:29, time: 0.664, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0274, s0.loss_cls: 0.1569, s0.acc: 94.3394, s0.loss_bbox: 0.2441, s0.loss_mask: 0.2241, s1.loss_cls: 0.0765, s1.acc: 94.4223, s1.loss_bbox: 0.1122, s1.loss_mask: 0.1123, s2.loss_cls: 0.0387, s2.acc: 94.1471, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0527, loss: 1.1151 2023-11-13 20:44:48,000 - mmdet - INFO - Epoch [3][6050/7330] lr: 9.525e-06, eta: 12:27:55, time: 0.662, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0267, s0.loss_cls: 0.1564, s0.acc: 94.3323, s0.loss_bbox: 0.2466, s0.loss_mask: 0.2254, s1.loss_cls: 0.0776, s1.acc: 94.2954, s1.loss_bbox: 0.1149, s1.loss_mask: 0.1140, s2.loss_cls: 0.0395, s2.acc: 94.1674, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0540, loss: 1.1256 2023-11-13 20:45:21,070 - mmdet - INFO - Epoch [3][6100/7330] lr: 9.525e-06, eta: 12:27:21, time: 0.661, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0268, s0.loss_cls: 0.1545, s0.acc: 94.3489, s0.loss_bbox: 0.2387, s0.loss_mask: 0.2237, s1.loss_cls: 0.0759, s1.acc: 94.3670, s1.loss_bbox: 0.1112, s1.loss_mask: 0.1127, s2.loss_cls: 0.0389, s2.acc: 94.1018, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0533, loss: 1.1053 2023-11-13 20:45:54,084 - mmdet - INFO - Epoch [3][6150/7330] lr: 9.525e-06, eta: 12:26:46, time: 0.660, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1560, s0.acc: 94.3474, s0.loss_bbox: 0.2464, s0.loss_mask: 0.2240, s1.loss_cls: 0.0763, s1.acc: 94.3536, s1.loss_bbox: 0.1148, s1.loss_mask: 0.1126, s2.loss_cls: 0.0392, s2.acc: 94.0714, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0532, loss: 1.1199 2023-11-13 20:46:27,294 - mmdet - INFO - Epoch [3][6200/7330] lr: 9.525e-06, eta: 12:26:13, time: 0.664, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0255, s0.loss_cls: 0.1529, s0.acc: 94.4180, s0.loss_bbox: 0.2460, s0.loss_mask: 0.2280, s1.loss_cls: 0.0751, s1.acc: 94.4242, s1.loss_bbox: 0.1146, s1.loss_mask: 0.1141, s2.loss_cls: 0.0386, s2.acc: 94.0783, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0541, loss: 1.1185 2023-11-13 20:47:00,682 - mmdet - INFO - Epoch [3][6250/7330] lr: 9.525e-06, eta: 12:25:39, time: 0.668, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1553, s0.acc: 94.4517, s0.loss_bbox: 0.2423, s0.loss_mask: 0.2246, s1.loss_cls: 0.0770, s1.acc: 94.3986, s1.loss_bbox: 0.1132, s1.loss_mask: 0.1123, s2.loss_cls: 0.0398, s2.acc: 94.0979, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0530, loss: 1.1150 2023-11-13 20:47:33,846 - mmdet - INFO - Epoch [3][6300/7330] lr: 9.525e-06, eta: 12:25:05, time: 0.663, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1593, s0.acc: 94.1375, s0.loss_bbox: 0.2509, s0.loss_mask: 0.2241, s1.loss_cls: 0.0794, s1.acc: 94.0662, s1.loss_bbox: 0.1175, s1.loss_mask: 0.1135, s2.loss_cls: 0.0411, s2.acc: 93.7036, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0536, loss: 1.1383 2023-11-13 20:48:06,813 - mmdet - INFO - Epoch [3][6350/7330] lr: 9.525e-06, eta: 12:24:31, time: 0.659, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1556, s0.acc: 94.3279, s0.loss_bbox: 0.2444, s0.loss_mask: 0.2224, s1.loss_cls: 0.0772, s1.acc: 94.3240, s1.loss_bbox: 0.1146, s1.loss_mask: 0.1123, s2.loss_cls: 0.0399, s2.acc: 94.0260, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0534, loss: 1.1155 2023-11-13 20:48:40,299 - mmdet - INFO - Epoch [3][6400/7330] lr: 9.525e-06, eta: 12:23:58, time: 0.670, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1599, s0.acc: 94.1309, s0.loss_bbox: 0.2523, s0.loss_mask: 0.2293, s1.loss_cls: 0.0789, s1.acc: 94.1510, s1.loss_bbox: 0.1168, s1.loss_mask: 0.1151, s2.loss_cls: 0.0402, s2.acc: 93.8984, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0545, loss: 1.1453 2023-11-13 20:49:13,417 - mmdet - INFO - Epoch [3][6450/7330] lr: 9.525e-06, eta: 12:23:24, time: 0.662, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1604, s0.acc: 94.2466, s0.loss_bbox: 0.2477, s0.loss_mask: 0.2225, s1.loss_cls: 0.0792, s1.acc: 94.1787, s1.loss_bbox: 0.1146, s1.loss_mask: 0.1119, s2.loss_cls: 0.0410, s2.acc: 93.8330, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0532, loss: 1.1290 2023-11-13 20:49:46,589 - mmdet - INFO - Epoch [3][6500/7330] lr: 9.525e-06, eta: 12:22:50, time: 0.663, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1502, s0.acc: 94.5710, s0.loss_bbox: 0.2332, s0.loss_mask: 0.2226, s1.loss_cls: 0.0736, s1.acc: 94.5292, s1.loss_bbox: 0.1083, s1.loss_mask: 0.1122, s2.loss_cls: 0.0375, s2.acc: 94.3408, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0530, loss: 1.0860 2023-11-13 20:50:20,195 - mmdet - INFO - Epoch [3][6550/7330] lr: 9.525e-06, eta: 12:22:17, time: 0.672, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1617, s0.acc: 94.0830, s0.loss_bbox: 0.2455, s0.loss_mask: 0.2235, s1.loss_cls: 0.0803, s1.acc: 93.9321, s1.loss_bbox: 0.1134, s1.loss_mask: 0.1122, s2.loss_cls: 0.0406, s2.acc: 93.7751, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0534, loss: 1.1296 2023-11-13 20:50:53,001 - mmdet - INFO - Epoch [3][6600/7330] lr: 9.525e-06, eta: 12:21:42, time: 0.656, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1517, s0.acc: 94.4468, s0.loss_bbox: 0.2396, s0.loss_mask: 0.2264, s1.loss_cls: 0.0734, s1.acc: 94.5353, s1.loss_bbox: 0.1116, s1.loss_mask: 0.1127, s2.loss_cls: 0.0377, s2.acc: 94.2239, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0535, loss: 1.1011 2023-11-13 20:51:26,017 - mmdet - INFO - Epoch [3][6650/7330] lr: 9.525e-06, eta: 12:21:08, time: 0.660, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1527, s0.acc: 94.4060, s0.loss_bbox: 0.2373, s0.loss_mask: 0.2215, s1.loss_cls: 0.0743, s1.acc: 94.5003, s1.loss_bbox: 0.1107, s1.loss_mask: 0.1109, s2.loss_cls: 0.0380, s2.acc: 94.1822, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0527, loss: 1.0877 2023-11-13 20:51:58,947 - mmdet - INFO - Epoch [3][6700/7330] lr: 9.525e-06, eta: 12:20:33, time: 0.659, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1580, s0.acc: 94.2388, s0.loss_bbox: 0.2470, s0.loss_mask: 0.2245, s1.loss_cls: 0.0783, s1.acc: 94.2006, s1.loss_bbox: 0.1148, s1.loss_mask: 0.1130, s2.loss_cls: 0.0403, s2.acc: 93.9052, s2.loss_bbox: 0.0468, s2.loss_mask: 0.0534, loss: 1.1269 2023-11-13 20:52:32,357 - mmdet - INFO - Epoch [3][6750/7330] lr: 9.525e-06, eta: 12:20:00, time: 0.668, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0263, s0.loss_cls: 0.1513, s0.acc: 94.4902, s0.loss_bbox: 0.2415, s0.loss_mask: 0.2237, s1.loss_cls: 0.0744, s1.acc: 94.4742, s1.loss_bbox: 0.1127, s1.loss_mask: 0.1130, s2.loss_cls: 0.0383, s2.acc: 94.1152, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0537, loss: 1.1045 2023-11-13 20:53:05,282 - mmdet - INFO - Epoch [3][6800/7330] lr: 9.525e-06, eta: 12:19:25, time: 0.658, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1597, s0.acc: 94.2458, s0.loss_bbox: 0.2467, s0.loss_mask: 0.2257, s1.loss_cls: 0.0784, s1.acc: 94.3255, s1.loss_bbox: 0.1140, s1.loss_mask: 0.1135, s2.loss_cls: 0.0402, s2.acc: 94.0332, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0539, loss: 1.1289 2023-11-13 20:53:38,273 - mmdet - INFO - Epoch [3][6850/7330] lr: 9.525e-06, eta: 12:18:50, time: 0.660, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0267, s0.loss_cls: 0.1556, s0.acc: 94.3345, s0.loss_bbox: 0.2397, s0.loss_mask: 0.2213, s1.loss_cls: 0.0760, s1.acc: 94.3059, s1.loss_bbox: 0.1100, s1.loss_mask: 0.1106, s2.loss_cls: 0.0392, s2.acc: 94.0511, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0526, loss: 1.1016 2023-11-13 20:54:11,655 - mmdet - INFO - Epoch [3][6900/7330] lr: 9.525e-06, eta: 12:18:17, time: 0.668, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1507, s0.acc: 94.4553, s0.loss_bbox: 0.2396, s0.loss_mask: 0.2196, s1.loss_cls: 0.0748, s1.acc: 94.4063, s1.loss_bbox: 0.1122, s1.loss_mask: 0.1116, s2.loss_cls: 0.0385, s2.acc: 94.1616, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0529, loss: 1.0931 2023-11-13 20:54:45,054 - mmdet - INFO - Epoch [3][6950/7330] lr: 9.525e-06, eta: 12:17:44, time: 0.668, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0261, s0.loss_cls: 0.1503, s0.acc: 94.5288, s0.loss_bbox: 0.2413, s0.loss_mask: 0.2260, s1.loss_cls: 0.0739, s1.acc: 94.5447, s1.loss_bbox: 0.1121, s1.loss_mask: 0.1133, s2.loss_cls: 0.0377, s2.acc: 94.1772, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0535, loss: 1.1028 2023-11-13 20:55:18,491 - mmdet - INFO - Epoch [3][7000/7330] lr: 9.525e-06, eta: 12:17:11, time: 0.669, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0263, s0.loss_cls: 0.1587, s0.acc: 94.1877, s0.loss_bbox: 0.2513, s0.loss_mask: 0.2273, s1.loss_cls: 0.0781, s1.acc: 94.1385, s1.loss_bbox: 0.1162, s1.loss_mask: 0.1128, s2.loss_cls: 0.0395, s2.acc: 93.8400, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0529, loss: 1.1335 2023-11-13 20:55:51,504 - mmdet - INFO - Epoch [3][7050/7330] lr: 9.525e-06, eta: 12:16:36, time: 0.660, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0265, s0.loss_cls: 0.1584, s0.acc: 94.2366, s0.loss_bbox: 0.2513, s0.loss_mask: 0.2280, s1.loss_cls: 0.0777, s1.acc: 94.2085, s1.loss_bbox: 0.1160, s1.loss_mask: 0.1141, s2.loss_cls: 0.0399, s2.acc: 93.8990, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0544, loss: 1.1391 2023-11-13 20:56:24,524 - mmdet - INFO - Epoch [3][7100/7330] lr: 9.525e-06, eta: 12:16:02, time: 0.660, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0274, s0.loss_cls: 0.1590, s0.acc: 94.1511, s0.loss_bbox: 0.2497, s0.loss_mask: 0.2241, s1.loss_cls: 0.0787, s1.acc: 94.1763, s1.loss_bbox: 0.1154, s1.loss_mask: 0.1118, s2.loss_cls: 0.0408, s2.acc: 93.8882, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0529, loss: 1.1335 2023-11-13 20:56:57,393 - mmdet - INFO - Epoch [3][7150/7330] lr: 9.525e-06, eta: 12:15:27, time: 0.657, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1499, s0.acc: 94.5391, s0.loss_bbox: 0.2393, s0.loss_mask: 0.2245, s1.loss_cls: 0.0736, s1.acc: 94.6548, s1.loss_bbox: 0.1129, s1.loss_mask: 0.1120, s2.loss_cls: 0.0373, s2.acc: 94.4754, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0528, loss: 1.0945 2023-11-13 20:57:30,042 - mmdet - INFO - Epoch [3][7200/7330] lr: 9.525e-06, eta: 12:14:52, time: 0.653, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1548, s0.acc: 94.4412, s0.loss_bbox: 0.2401, s0.loss_mask: 0.2229, s1.loss_cls: 0.0767, s1.acc: 94.3978, s1.loss_bbox: 0.1122, s1.loss_mask: 0.1124, s2.loss_cls: 0.0389, s2.acc: 94.1992, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0533, loss: 1.1054 2023-11-13 20:58:03,320 - mmdet - INFO - Epoch [3][7250/7330] lr: 9.525e-06, eta: 12:14:18, time: 0.665, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0268, s0.loss_cls: 0.1639, s0.acc: 94.0361, s0.loss_bbox: 0.2537, s0.loss_mask: 0.2252, s1.loss_cls: 0.0801, s1.acc: 94.1034, s1.loss_bbox: 0.1180, s1.loss_mask: 0.1130, s2.loss_cls: 0.0407, s2.acc: 93.8305, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0537, loss: 1.1483 2023-11-13 20:58:36,698 - mmdet - INFO - Epoch [3][7300/7330] lr: 9.525e-06, eta: 12:13:45, time: 0.668, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0254, s0.loss_cls: 0.1561, s0.acc: 94.4028, s0.loss_bbox: 0.2395, s0.loss_mask: 0.2223, s1.loss_cls: 0.0765, s1.acc: 94.3701, s1.loss_bbox: 0.1113, s1.loss_mask: 0.1117, s2.loss_cls: 0.0393, s2.acc: 94.0347, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0531, loss: 1.1045 2023-11-13 20:58:56,999 - mmdet - INFO - Saving checkpoint at 3 epochs 2023-11-13 21:00:26,196 - mmdet - INFO - Evaluating bbox... 2023-11-13 21:00:56,932 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.523 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.722 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.571 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.350 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.572 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.683 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.467 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.699 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.806 2023-11-13 21:00:56,935 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.619 | bicycle | 0.399 | car | 0.525 | | motorcycle | 0.496 | airplane | 0.744 | bus | 0.755 | | train | 0.717 | truck | 0.448 | boat | 0.363 | | traffic light | 0.329 | fire hydrant | 0.766 | stop sign | 0.715 | | parking meter | 0.531 | bench | 0.346 | bird | 0.459 | | cat | 0.813 | dog | 0.764 | horse | 0.684 | | sheep | 0.617 | cow | 0.678 | elephant | 0.750 | | bear | 0.786 | zebra | 0.745 | giraffe | 0.753 | | backpack | 0.257 | umbrella | 0.491 | handbag | 0.260 | | tie | 0.431 | suitcase | 0.518 | frisbee | 0.738 | | skis | 0.334 | snowboard | 0.491 | sports ball | 0.501 | | kite | 0.514 | baseball bat | 0.491 | baseball glove | 0.485 | | skateboard | 0.629 | surfboard | 0.513 | tennis racket | 0.599 | | bottle | 0.493 | wine glass | 0.445 | cup | 0.546 | | fork | 0.507 | knife | 0.334 | spoon | 0.321 | | bowl | 0.516 | banana | 0.327 | apple | 0.293 | | sandwich | 0.528 | orange | 0.379 | broccoli | 0.282 | | carrot | 0.294 | hot dog | 0.509 | pizza | 0.601 | | donut | 0.626 | cake | 0.502 | chair | 0.395 | | couch | 0.528 | potted plant | 0.378 | bed | 0.533 | | dining table | 0.326 | toilet | 0.696 | tv | 0.664 | | laptop | 0.718 | mouse | 0.663 | remote | 0.486 | | keyboard | 0.575 | cell phone | 0.511 | microwave | 0.654 | | oven | 0.443 | toaster | 0.562 | sink | 0.491 | | refrigerator | 0.691 | book | 0.207 | clock | 0.553 | | vase | 0.482 | scissors | 0.507 | teddy bear | 0.619 | | hair drier | 0.200 | toothbrush | 0.393 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 21:00:56,935 - mmdet - INFO - Evaluating segm... 2023-11-13 21:01:32,355 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.454 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.693 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.491 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.257 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.492 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.648 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.571 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.571 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.571 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.391 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.616 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.734 2023-11-13 21:01:32,358 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.520 | bicycle | 0.235 | car | 0.469 | | motorcycle | 0.402 | airplane | 0.553 | bus | 0.705 | | train | 0.698 | truck | 0.422 | boat | 0.325 | | traffic light | 0.309 | fire hydrant | 0.714 | stop sign | 0.690 | | parking meter | 0.527 | bench | 0.255 | bird | 0.365 | | cat | 0.764 | dog | 0.673 | horse | 0.496 | | sheep | 0.533 | cow | 0.561 | elephant | 0.649 | | bear | 0.755 | zebra | 0.624 | giraffe | 0.568 | | backpack | 0.259 | umbrella | 0.539 | handbag | 0.234 | | tie | 0.400 | suitcase | 0.512 | frisbee | 0.676 | | skis | 0.052 | snowboard | 0.299 | sports ball | 0.482 | | kite | 0.344 | baseball bat | 0.333 | baseball glove | 0.505 | | skateboard | 0.409 | surfboard | 0.413 | tennis racket | 0.614 | | bottle | 0.456 | wine glass | 0.374 | cup | 0.535 | | fork | 0.248 | knife | 0.228 | spoon | 0.221 | | bowl | 0.462 | banana | 0.266 | apple | 0.279 | | sandwich | 0.532 | orange | 0.368 | broccoli | 0.256 | | carrot | 0.252 | hot dog | 0.404 | pizza | 0.563 | | donut | 0.615 | cake | 0.489 | chair | 0.274 | | couch | 0.411 | potted plant | 0.308 | bed | 0.403 | | dining table | 0.177 | toilet | 0.651 | tv | 0.674 | | laptop | 0.698 | mouse | 0.656 | remote | 0.415 | | keyboard | 0.553 | cell phone | 0.462 | microwave | 0.661 | | oven | 0.393 | toaster | 0.615 | sink | 0.439 | | refrigerator | 0.681 | book | 0.156 | clock | 0.547 | | vase | 0.458 | scissors | 0.334 | teddy bear | 0.564 | | hair drier | 0.089 | toothbrush | 0.271 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 21:01:32,935 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco/best_bbox_mAP_epoch_2.pth was removed 2023-11-13 21:01:40,719 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_3.pth. 2023-11-13 21:01:40,719 - mmdet - INFO - Best bbox_mAP is 0.5229 at 3 epoch. 2023-11-13 21:01:40,720 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 21:01:40,720 - mmdet - INFO - Epoch(val) [3][625] bbox_mAP: 0.5229, bbox_mAP_50: 0.7221, bbox_mAP_75: 0.5715, bbox_mAP_s: 0.3498, bbox_mAP_m: 0.5721, bbox_mAP_l: 0.6834, bbox_mAP_copypaste: 0.5229 0.7221 0.5715 0.3498 0.5721 0.6834, segm_mAP: 0.4540, segm_mAP_50: 0.6934, segm_mAP_75: 0.4906, segm_mAP_s: 0.2572, segm_mAP_m: 0.4925, segm_mAP_l: 0.6482, segm_mAP_copypaste: 0.4540 0.6934 0.4906 0.2572 0.4925 0.6482 2023-11-13 21:02:17,811 - mmdet - INFO - Epoch [4][50/7330] lr: 9.525e-06, eta: 12:12:03, time: 0.742, data_time: 0.087, memory: 30140, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0259, s0.loss_cls: 0.1425, s0.acc: 94.6028, s0.loss_bbox: 0.2353, s0.loss_mask: 0.2192, s1.loss_cls: 0.0693, s1.acc: 94.7135, s1.loss_bbox: 0.1093, s1.loss_mask: 0.1097, s2.loss_cls: 0.0358, s2.acc: 94.5197, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0523, loss: 1.0672 2023-11-13 21:02:51,941 - mmdet - INFO - Epoch [4][100/7330] lr: 9.525e-06, eta: 12:11:32, time: 0.683, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0247, s0.loss_cls: 0.1457, s0.acc: 94.5657, s0.loss_bbox: 0.2445, s0.loss_mask: 0.2232, s1.loss_cls: 0.0703, s1.acc: 94.6179, s1.loss_bbox: 0.1140, s1.loss_mask: 0.1120, s2.loss_cls: 0.0360, s2.acc: 94.3219, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0528, loss: 1.0929 2023-11-13 21:03:25,685 - mmdet - INFO - Epoch [4][150/7330] lr: 9.525e-06, eta: 12:11:00, time: 0.675, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1469, s0.acc: 94.6592, s0.loss_bbox: 0.2353, s0.loss_mask: 0.2163, s1.loss_cls: 0.0713, s1.acc: 94.7130, s1.loss_bbox: 0.1094, s1.loss_mask: 0.1079, s2.loss_cls: 0.0366, s2.acc: 94.4759, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0514, loss: 1.0650 2023-11-13 21:03:59,600 - mmdet - INFO - Epoch [4][200/7330] lr: 9.525e-06, eta: 12:10:28, time: 0.678, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0256, s0.loss_cls: 0.1542, s0.acc: 94.2949, s0.loss_bbox: 0.2459, s0.loss_mask: 0.2255, s1.loss_cls: 0.0752, s1.acc: 94.3962, s1.loss_bbox: 0.1135, s1.loss_mask: 0.1123, s2.loss_cls: 0.0381, s2.acc: 94.2521, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0532, loss: 1.1149 2023-11-13 21:04:33,426 - mmdet - INFO - Epoch [4][250/7330] lr: 9.525e-06, eta: 12:09:56, time: 0.676, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1461, s0.acc: 94.5325, s0.loss_bbox: 0.2399, s0.loss_mask: 0.2176, s1.loss_cls: 0.0715, s1.acc: 94.6079, s1.loss_bbox: 0.1126, s1.loss_mask: 0.1099, s2.loss_cls: 0.0369, s2.acc: 94.3008, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0524, loss: 1.0791 2023-11-13 21:05:07,156 - mmdet - INFO - Epoch [4][300/7330] lr: 9.525e-06, eta: 12:09:24, time: 0.675, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1433, s0.acc: 94.6511, s0.loss_bbox: 0.2343, s0.loss_mask: 0.2169, s1.loss_cls: 0.0702, s1.acc: 94.6570, s1.loss_bbox: 0.1103, s1.loss_mask: 0.1089, s2.loss_cls: 0.0358, s2.acc: 94.4755, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0518, loss: 1.0632 2023-11-13 21:05:41,187 - mmdet - INFO - Epoch [4][350/7330] lr: 9.525e-06, eta: 12:08:53, time: 0.681, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0266, s0.loss_cls: 0.1561, s0.acc: 94.2805, s0.loss_bbox: 0.2437, s0.loss_mask: 0.2209, s1.loss_cls: 0.0760, s1.acc: 94.3814, s1.loss_bbox: 0.1129, s1.loss_mask: 0.1107, s2.loss_cls: 0.0384, s2.acc: 94.2851, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0524, loss: 1.1075 2023-11-13 21:06:14,949 - mmdet - INFO - Epoch [4][400/7330] lr: 9.525e-06, eta: 12:08:21, time: 0.675, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0266, s0.loss_cls: 0.1551, s0.acc: 94.2612, s0.loss_bbox: 0.2528, s0.loss_mask: 0.2223, s1.loss_cls: 0.0754, s1.acc: 94.3300, s1.loss_bbox: 0.1187, s1.loss_mask: 0.1115, s2.loss_cls: 0.0394, s2.acc: 93.8600, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0530, loss: 1.1262 2023-11-13 21:06:48,552 - mmdet - INFO - Epoch [4][450/7330] lr: 9.525e-06, eta: 12:07:49, time: 0.672, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1424, s0.acc: 94.7529, s0.loss_bbox: 0.2310, s0.loss_mask: 0.2176, s1.loss_cls: 0.0691, s1.acc: 94.7827, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1099, s2.loss_cls: 0.0352, s2.acc: 94.5890, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0522, loss: 1.0561 2023-11-13 21:07:22,098 - mmdet - INFO - Epoch [4][500/7330] lr: 9.525e-06, eta: 12:07:16, time: 0.671, data_time: 0.019, memory: 30140, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0258, s0.loss_cls: 0.1475, s0.acc: 94.4814, s0.loss_bbox: 0.2391, s0.loss_mask: 0.2183, s1.loss_cls: 0.0729, s1.acc: 94.4802, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1099, s2.loss_cls: 0.0371, s2.acc: 94.2992, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0523, loss: 1.0835 2023-11-13 21:07:55,808 - mmdet - INFO - Epoch [4][550/7330] lr: 9.525e-06, eta: 12:06:44, time: 0.674, data_time: 0.018, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0262, s0.loss_cls: 0.1427, s0.acc: 94.6316, s0.loss_bbox: 0.2422, s0.loss_mask: 0.2174, s1.loss_cls: 0.0696, s1.acc: 94.7089, s1.loss_bbox: 0.1122, s1.loss_mask: 0.1099, s2.loss_cls: 0.0356, s2.acc: 94.4090, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0528, loss: 1.0776 2023-11-13 21:08:29,212 - mmdet - INFO - Epoch [4][600/7330] lr: 9.525e-06, eta: 12:06:11, time: 0.668, data_time: 0.018, memory: 30140, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1405, s0.acc: 94.8188, s0.loss_bbox: 0.2335, s0.loss_mask: 0.2175, s1.loss_cls: 0.0697, s1.acc: 94.7653, s1.loss_bbox: 0.1095, s1.loss_mask: 0.1106, s2.loss_cls: 0.0358, s2.acc: 94.5389, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0524, loss: 1.0591 2023-11-13 21:09:02,428 - mmdet - INFO - Epoch [4][650/7330] lr: 9.525e-06, eta: 12:05:37, time: 0.664, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1420, s0.acc: 94.7163, s0.loss_bbox: 0.2360, s0.loss_mask: 0.2177, s1.loss_cls: 0.0695, s1.acc: 94.7354, s1.loss_bbox: 0.1102, s1.loss_mask: 0.1099, s2.loss_cls: 0.0361, s2.acc: 94.4815, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0523, loss: 1.0625 2023-11-13 21:09:36,110 - mmdet - INFO - Epoch [4][700/7330] lr: 9.525e-06, eta: 12:05:05, time: 0.674, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0256, s0.loss_cls: 0.1524, s0.acc: 94.3892, s0.loss_bbox: 0.2462, s0.loss_mask: 0.2228, s1.loss_cls: 0.0739, s1.acc: 94.4153, s1.loss_bbox: 0.1143, s1.loss_mask: 0.1117, s2.loss_cls: 0.0380, s2.acc: 94.0598, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0531, loss: 1.1079 2023-11-13 21:10:09,389 - mmdet - INFO - Epoch [4][750/7330] lr: 9.525e-06, eta: 12:04:31, time: 0.666, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1429, s0.acc: 94.7166, s0.loss_bbox: 0.2352, s0.loss_mask: 0.2159, s1.loss_cls: 0.0683, s1.acc: 94.8872, s1.loss_bbox: 0.1098, s1.loss_mask: 0.1088, s2.loss_cls: 0.0355, s2.acc: 94.5224, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0518, loss: 1.0606 2023-11-13 21:10:42,871 - mmdet - INFO - Epoch [4][800/7330] lr: 9.525e-06, eta: 12:03:58, time: 0.670, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1471, s0.acc: 94.5945, s0.loss_bbox: 0.2405, s0.loss_mask: 0.2194, s1.loss_cls: 0.0720, s1.acc: 94.6510, s1.loss_bbox: 0.1122, s1.loss_mask: 0.1102, s2.loss_cls: 0.0376, s2.acc: 94.2589, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0525, loss: 1.0855 2023-11-13 21:11:16,502 - mmdet - INFO - Epoch [4][850/7330] lr: 9.525e-06, eta: 12:03:26, time: 0.673, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1455, s0.acc: 94.6438, s0.loss_bbox: 0.2419, s0.loss_mask: 0.2157, s1.loss_cls: 0.0711, s1.acc: 94.6941, s1.loss_bbox: 0.1125, s1.loss_mask: 0.1088, s2.loss_cls: 0.0366, s2.acc: 94.4229, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0517, loss: 1.0774 2023-11-13 21:11:50,465 - mmdet - INFO - Epoch [4][900/7330] lr: 9.525e-06, eta: 12:02:54, time: 0.679, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1460, s0.acc: 94.5515, s0.loss_bbox: 0.2366, s0.loss_mask: 0.2170, s1.loss_cls: 0.0709, s1.acc: 94.5377, s1.loss_bbox: 0.1102, s1.loss_mask: 0.1087, s2.loss_cls: 0.0363, s2.acc: 94.3338, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0519, loss: 1.0715 2023-11-13 21:12:24,071 - mmdet - INFO - Epoch [4][950/7330] lr: 9.525e-06, eta: 12:02:22, time: 0.672, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0265, s0.loss_cls: 0.1468, s0.acc: 94.5742, s0.loss_bbox: 0.2398, s0.loss_mask: 0.2228, s1.loss_cls: 0.0711, s1.acc: 94.6273, s1.loss_bbox: 0.1129, s1.loss_mask: 0.1121, s2.loss_cls: 0.0363, s2.acc: 94.3822, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0534, loss: 1.0889 2023-11-13 21:12:57,456 - mmdet - INFO - Epoch [4][1000/7330] lr: 9.525e-06, eta: 12:01:48, time: 0.668, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1443, s0.acc: 94.6672, s0.loss_bbox: 0.2371, s0.loss_mask: 0.2211, s1.loss_cls: 0.0710, s1.acc: 94.6092, s1.loss_bbox: 0.1121, s1.loss_mask: 0.1117, s2.loss_cls: 0.0365, s2.acc: 94.3350, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0529, loss: 1.0803 2023-11-13 21:13:31,007 - mmdet - INFO - Epoch [4][1050/7330] lr: 9.525e-06, eta: 12:01:16, time: 0.671, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1458, s0.acc: 94.5913, s0.loss_bbox: 0.2458, s0.loss_mask: 0.2207, s1.loss_cls: 0.0711, s1.acc: 94.6263, s1.loss_bbox: 0.1155, s1.loss_mask: 0.1112, s2.loss_cls: 0.0370, s2.acc: 94.2780, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0530, loss: 1.0942 2023-11-13 21:14:04,469 - mmdet - INFO - Epoch [4][1100/7330] lr: 9.525e-06, eta: 12:00:43, time: 0.669, data_time: 0.019, memory: 30140, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1510, s0.acc: 94.4807, s0.loss_bbox: 0.2394, s0.loss_mask: 0.2197, s1.loss_cls: 0.0729, s1.acc: 94.6448, s1.loss_bbox: 0.1121, s1.loss_mask: 0.1114, s2.loss_cls: 0.0371, s2.acc: 94.3822, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0530, loss: 1.0921 2023-11-13 21:14:38,262 - mmdet - INFO - Epoch [4][1150/7330] lr: 9.525e-06, eta: 12:00:11, time: 0.676, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0244, s0.loss_cls: 0.1494, s0.acc: 94.5110, s0.loss_bbox: 0.2375, s0.loss_mask: 0.2175, s1.loss_cls: 0.0726, s1.acc: 94.6216, s1.loss_bbox: 0.1100, s1.loss_mask: 0.1091, s2.loss_cls: 0.0375, s2.acc: 94.3154, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0517, loss: 1.0775 2023-11-13 21:15:12,192 - mmdet - INFO - Epoch [4][1200/7330] lr: 9.525e-06, eta: 11:59:39, time: 0.679, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1514, s0.acc: 94.3921, s0.loss_bbox: 0.2511, s0.loss_mask: 0.2259, s1.loss_cls: 0.0748, s1.acc: 94.3517, s1.loss_bbox: 0.1169, s1.loss_mask: 0.1124, s2.loss_cls: 0.0383, s2.acc: 94.0955, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0532, loss: 1.1206 2023-11-13 21:15:46,290 - mmdet - INFO - Epoch [4][1250/7330] lr: 9.525e-06, eta: 11:59:08, time: 0.682, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1543, s0.acc: 94.2368, s0.loss_bbox: 0.2493, s0.loss_mask: 0.2196, s1.loss_cls: 0.0754, s1.acc: 94.2638, s1.loss_bbox: 0.1166, s1.loss_mask: 0.1112, s2.loss_cls: 0.0390, s2.acc: 93.9957, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0527, loss: 1.1169 2023-11-13 21:16:20,097 - mmdet - INFO - Epoch [4][1300/7330] lr: 9.525e-06, eta: 11:58:36, time: 0.676, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0248, s0.loss_cls: 0.1420, s0.acc: 94.7244, s0.loss_bbox: 0.2327, s0.loss_mask: 0.2167, s1.loss_cls: 0.0684, s1.acc: 94.8725, s1.loss_bbox: 0.1102, s1.loss_mask: 0.1102, s2.loss_cls: 0.0354, s2.acc: 94.5320, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0523, loss: 1.0602 2023-11-13 21:16:53,538 - mmdet - INFO - Epoch [4][1350/7330] lr: 9.525e-06, eta: 11:58:03, time: 0.669, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1521, s0.acc: 94.4365, s0.loss_bbox: 0.2484, s0.loss_mask: 0.2287, s1.loss_cls: 0.0747, s1.acc: 94.3822, s1.loss_bbox: 0.1162, s1.loss_mask: 0.1152, s2.loss_cls: 0.0381, s2.acc: 94.1921, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0545, loss: 1.1218 2023-11-13 21:17:26,726 - mmdet - INFO - Epoch [4][1400/7330] lr: 9.525e-06, eta: 11:57:29, time: 0.664, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1453, s0.acc: 94.6152, s0.loss_bbox: 0.2346, s0.loss_mask: 0.2148, s1.loss_cls: 0.0712, s1.acc: 94.6093, s1.loss_bbox: 0.1108, s1.loss_mask: 0.1079, s2.loss_cls: 0.0363, s2.acc: 94.3809, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0511, loss: 1.0625 2023-11-13 21:18:00,387 - mmdet - INFO - Epoch [4][1450/7330] lr: 9.525e-06, eta: 11:56:57, time: 0.673, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1490, s0.acc: 94.3904, s0.loss_bbox: 0.2437, s0.loss_mask: 0.2186, s1.loss_cls: 0.0732, s1.acc: 94.4479, s1.loss_bbox: 0.1146, s1.loss_mask: 0.1100, s2.loss_cls: 0.0380, s2.acc: 94.1541, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0524, loss: 1.0924 2023-11-13 21:18:36,579 - mmdet - INFO - Epoch [4][1500/7330] lr: 9.525e-06, eta: 11:56:31, time: 0.724, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1471, s0.acc: 94.5439, s0.loss_bbox: 0.2386, s0.loss_mask: 0.2172, s1.loss_cls: 0.0722, s1.acc: 94.5424, s1.loss_bbox: 0.1119, s1.loss_mask: 0.1101, s2.loss_cls: 0.0373, s2.acc: 94.2264, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0524, loss: 1.0779 2023-11-13 21:19:12,532 - mmdet - INFO - Epoch [4][1550/7330] lr: 9.525e-06, eta: 11:56:05, time: 0.719, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0254, s0.loss_cls: 0.1506, s0.acc: 94.4792, s0.loss_bbox: 0.2426, s0.loss_mask: 0.2213, s1.loss_cls: 0.0738, s1.acc: 94.5755, s1.loss_bbox: 0.1135, s1.loss_mask: 0.1105, s2.loss_cls: 0.0379, s2.acc: 94.3371, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0522, loss: 1.0971 2023-11-13 21:19:48,105 - mmdet - INFO - Epoch [4][1600/7330] lr: 9.525e-06, eta: 11:55:38, time: 0.711, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1488, s0.acc: 94.4453, s0.loss_bbox: 0.2381, s0.loss_mask: 0.2161, s1.loss_cls: 0.0731, s1.acc: 94.4677, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1089, s2.loss_cls: 0.0372, s2.acc: 94.2283, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0516, loss: 1.0766 2023-11-13 21:20:21,468 - mmdet - INFO - Epoch [4][1650/7330] lr: 9.525e-06, eta: 11:55:04, time: 0.667, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0266, s0.loss_cls: 0.1519, s0.acc: 94.4094, s0.loss_bbox: 0.2389, s0.loss_mask: 0.2251, s1.loss_cls: 0.0742, s1.acc: 94.3900, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1127, s2.loss_cls: 0.0385, s2.acc: 94.0329, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0530, loss: 1.0999 2023-11-13 21:20:55,152 - mmdet - INFO - Epoch [4][1700/7330] lr: 9.525e-06, eta: 11:54:32, time: 0.674, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0273, s0.loss_cls: 0.1532, s0.acc: 94.3083, s0.loss_bbox: 0.2489, s0.loss_mask: 0.2243, s1.loss_cls: 0.0753, s1.acc: 94.2666, s1.loss_bbox: 0.1156, s1.loss_mask: 0.1126, s2.loss_cls: 0.0387, s2.acc: 93.8882, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0538, loss: 1.1216 2023-11-13 21:21:28,769 - mmdet - INFO - Epoch [4][1750/7330] lr: 9.525e-06, eta: 11:53:59, time: 0.672, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1404, s0.acc: 94.7463, s0.loss_bbox: 0.2350, s0.loss_mask: 0.2168, s1.loss_cls: 0.0683, s1.acc: 94.8451, s1.loss_bbox: 0.1112, s1.loss_mask: 0.1095, s2.loss_cls: 0.0354, s2.acc: 94.5807, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0521, loss: 1.0603 2023-11-13 21:22:02,371 - mmdet - INFO - Epoch [4][1800/7330] lr: 9.525e-06, eta: 11:53:27, time: 0.672, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1454, s0.acc: 94.6611, s0.loss_bbox: 0.2310, s0.loss_mask: 0.2154, s1.loss_cls: 0.0717, s1.acc: 94.6561, s1.loss_bbox: 0.1089, s1.loss_mask: 0.1091, s2.loss_cls: 0.0371, s2.acc: 94.3212, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0518, loss: 1.0602 2023-11-13 21:22:38,575 - mmdet - INFO - Epoch [4][1850/7330] lr: 9.525e-06, eta: 11:53:01, time: 0.724, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1470, s0.acc: 94.5786, s0.loss_bbox: 0.2357, s0.loss_mask: 0.2206, s1.loss_cls: 0.0734, s1.acc: 94.5414, s1.loss_bbox: 0.1105, s1.loss_mask: 0.1108, s2.loss_cls: 0.0373, s2.acc: 94.3257, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0523, loss: 1.0794 2023-11-13 21:23:11,915 - mmdet - INFO - Epoch [4][1900/7330] lr: 9.525e-06, eta: 11:52:27, time: 0.667, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1479, s0.acc: 94.4360, s0.loss_bbox: 0.2431, s0.loss_mask: 0.2172, s1.loss_cls: 0.0721, s1.acc: 94.5461, s1.loss_bbox: 0.1137, s1.loss_mask: 0.1093, s2.loss_cls: 0.0380, s2.acc: 94.0728, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0517, loss: 1.0858 2023-11-13 21:23:45,695 - mmdet - INFO - Epoch [4][1950/7330] lr: 9.525e-06, eta: 11:51:55, time: 0.676, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1544, s0.acc: 94.3679, s0.loss_bbox: 0.2484, s0.loss_mask: 0.2232, s1.loss_cls: 0.0749, s1.acc: 94.4754, s1.loss_bbox: 0.1163, s1.loss_mask: 0.1128, s2.loss_cls: 0.0389, s2.acc: 94.0889, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0537, loss: 1.1194 2023-11-13 21:24:21,299 - mmdet - INFO - Epoch [4][2000/7330] lr: 9.525e-06, eta: 11:51:28, time: 0.712, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1442, s0.acc: 94.6030, s0.loss_bbox: 0.2345, s0.loss_mask: 0.2182, s1.loss_cls: 0.0708, s1.acc: 94.5365, s1.loss_bbox: 0.1102, s1.loss_mask: 0.1104, s2.loss_cls: 0.0363, s2.acc: 94.2767, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0526, loss: 1.0671 2023-11-13 21:24:54,801 - mmdet - INFO - Epoch [4][2050/7330] lr: 9.525e-06, eta: 11:50:55, time: 0.670, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1402, s0.acc: 94.7988, s0.loss_bbox: 0.2350, s0.loss_mask: 0.2152, s1.loss_cls: 0.0684, s1.acc: 94.8375, s1.loss_bbox: 0.1097, s1.loss_mask: 0.1084, s2.loss_cls: 0.0352, s2.acc: 94.5730, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0516, loss: 1.0534 2023-11-13 21:25:28,136 - mmdet - INFO - Epoch [4][2100/7330] lr: 9.525e-06, eta: 11:50:21, time: 0.667, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1457, s0.acc: 94.6040, s0.loss_bbox: 0.2303, s0.loss_mask: 0.2144, s1.loss_cls: 0.0711, s1.acc: 94.6522, s1.loss_bbox: 0.1081, s1.loss_mask: 0.1083, s2.loss_cls: 0.0363, s2.acc: 94.4570, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0514, loss: 1.0585 2023-11-13 21:26:01,972 - mmdet - INFO - Epoch [4][2150/7330] lr: 9.525e-06, eta: 11:49:49, time: 0.677, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0263, s0.loss_cls: 0.1536, s0.acc: 94.3855, s0.loss_bbox: 0.2426, s0.loss_mask: 0.2169, s1.loss_cls: 0.0751, s1.acc: 94.3301, s1.loss_bbox: 0.1124, s1.loss_mask: 0.1086, s2.loss_cls: 0.0386, s2.acc: 94.0822, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0518, loss: 1.0971 2023-11-13 21:26:35,772 - mmdet - INFO - Epoch [4][2200/7330] lr: 9.525e-06, eta: 11:49:17, time: 0.676, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0252, s0.loss_cls: 0.1510, s0.acc: 94.4609, s0.loss_bbox: 0.2442, s0.loss_mask: 0.2227, s1.loss_cls: 0.0728, s1.acc: 94.5157, s1.loss_bbox: 0.1139, s1.loss_mask: 0.1115, s2.loss_cls: 0.0375, s2.acc: 94.1466, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0528, loss: 1.0979 2023-11-13 21:27:11,267 - mmdet - INFO - Epoch [4][2250/7330] lr: 9.525e-06, eta: 11:48:49, time: 0.710, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1384, s0.acc: 94.9016, s0.loss_bbox: 0.2215, s0.loss_mask: 0.2222, s1.loss_cls: 0.0685, s1.acc: 94.8977, s1.loss_bbox: 0.1053, s1.loss_mask: 0.1123, s2.loss_cls: 0.0353, s2.acc: 94.6258, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0535, loss: 1.0441 2023-11-13 21:27:44,939 - mmdet - INFO - Epoch [4][2300/7330] lr: 9.525e-06, eta: 11:48:17, time: 0.673, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1373, s0.acc: 94.9360, s0.loss_bbox: 0.2271, s0.loss_mask: 0.2177, s1.loss_cls: 0.0678, s1.acc: 94.8966, s1.loss_bbox: 0.1068, s1.loss_mask: 0.1099, s2.loss_cls: 0.0355, s2.acc: 94.5232, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0522, loss: 1.0433 2023-11-13 21:28:17,894 - mmdet - INFO - Epoch [4][2350/7330] lr: 9.525e-06, eta: 11:47:42, time: 0.659, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1484, s0.acc: 94.6785, s0.loss_bbox: 0.2345, s0.loss_mask: 0.2232, s1.loss_cls: 0.0726, s1.acc: 94.6454, s1.loss_bbox: 0.1090, s1.loss_mask: 0.1122, s2.loss_cls: 0.0374, s2.acc: 94.3848, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0533, loss: 1.0800 2023-11-13 21:28:51,301 - mmdet - INFO - Epoch [4][2400/7330] lr: 9.525e-06, eta: 11:47:09, time: 0.668, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1432, s0.acc: 94.7939, s0.loss_bbox: 0.2256, s0.loss_mask: 0.2090, s1.loss_cls: 0.0707, s1.acc: 94.7516, s1.loss_bbox: 0.1061, s1.loss_mask: 0.1067, s2.loss_cls: 0.0362, s2.acc: 94.5641, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0510, loss: 1.0374 2023-11-13 21:29:25,551 - mmdet - INFO - Epoch [4][2450/7330] lr: 9.525e-06, eta: 11:46:38, time: 0.685, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0263, s0.loss_cls: 0.1525, s0.acc: 94.4316, s0.loss_bbox: 0.2455, s0.loss_mask: 0.2236, s1.loss_cls: 0.0750, s1.acc: 94.3743, s1.loss_bbox: 0.1126, s1.loss_mask: 0.1124, s2.loss_cls: 0.0383, s2.acc: 94.0826, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0531, loss: 1.1114 2023-11-13 21:30:00,909 - mmdet - INFO - Epoch [4][2500/7330] lr: 9.525e-06, eta: 11:46:10, time: 0.707, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1429, s0.acc: 94.7019, s0.loss_bbox: 0.2337, s0.loss_mask: 0.2187, s1.loss_cls: 0.0707, s1.acc: 94.6987, s1.loss_bbox: 0.1101, s1.loss_mask: 0.1105, s2.loss_cls: 0.0367, s2.acc: 94.3829, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0524, loss: 1.0682 2023-11-13 21:30:34,523 - mmdet - INFO - Epoch [4][2550/7330] lr: 9.525e-06, eta: 11:45:37, time: 0.672, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0263, s0.loss_cls: 0.1446, s0.acc: 94.5935, s0.loss_bbox: 0.2363, s0.loss_mask: 0.2170, s1.loss_cls: 0.0719, s1.acc: 94.5283, s1.loss_bbox: 0.1120, s1.loss_mask: 0.1095, s2.loss_cls: 0.0375, s2.acc: 94.2204, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0518, loss: 1.0745 2023-11-13 21:31:07,622 - mmdet - INFO - Epoch [4][2600/7330] lr: 9.525e-06, eta: 11:45:03, time: 0.662, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1425, s0.acc: 94.6995, s0.loss_bbox: 0.2290, s0.loss_mask: 0.2209, s1.loss_cls: 0.0694, s1.acc: 94.7646, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1109, s2.loss_cls: 0.0357, s2.acc: 94.4610, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0528, loss: 1.0556 2023-11-13 21:31:41,259 - mmdet - INFO - Epoch [4][2650/7330] lr: 9.525e-06, eta: 11:44:30, time: 0.673, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0252, s0.loss_cls: 0.1463, s0.acc: 94.6406, s0.loss_bbox: 0.2387, s0.loss_mask: 0.2190, s1.loss_cls: 0.0715, s1.acc: 94.6662, s1.loss_bbox: 0.1117, s1.loss_mask: 0.1107, s2.loss_cls: 0.0364, s2.acc: 94.3789, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0528, loss: 1.0817 2023-11-13 21:32:14,855 - mmdet - INFO - Epoch [4][2700/7330] lr: 9.525e-06, eta: 11:43:57, time: 0.672, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1477, s0.acc: 94.4905, s0.loss_bbox: 0.2377, s0.loss_mask: 0.2201, s1.loss_cls: 0.0716, s1.acc: 94.5286, s1.loss_bbox: 0.1105, s1.loss_mask: 0.1111, s2.loss_cls: 0.0370, s2.acc: 94.2850, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0527, loss: 1.0816 2023-11-13 21:32:48,408 - mmdet - INFO - Epoch [4][2750/7330] lr: 9.525e-06, eta: 11:43:24, time: 0.671, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1498, s0.acc: 94.4617, s0.loss_bbox: 0.2407, s0.loss_mask: 0.2180, s1.loss_cls: 0.0725, s1.acc: 94.5242, s1.loss_bbox: 0.1123, s1.loss_mask: 0.1104, s2.loss_cls: 0.0373, s2.acc: 94.2448, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0527, loss: 1.0890 2023-11-13 21:33:21,793 - mmdet - INFO - Epoch [4][2800/7330] lr: 9.525e-06, eta: 11:42:51, time: 0.668, data_time: 0.019, memory: 30140, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0255, s0.loss_cls: 0.1460, s0.acc: 94.6445, s0.loss_bbox: 0.2361, s0.loss_mask: 0.2146, s1.loss_cls: 0.0711, s1.acc: 94.6850, s1.loss_bbox: 0.1105, s1.loss_mask: 0.1089, s2.loss_cls: 0.0364, s2.acc: 94.4611, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0517, loss: 1.0684 2023-11-13 21:33:55,101 - mmdet - INFO - Epoch [4][2850/7330] lr: 9.525e-06, eta: 11:42:17, time: 0.666, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1392, s0.acc: 94.8965, s0.loss_bbox: 0.2214, s0.loss_mask: 0.2160, s1.loss_cls: 0.0682, s1.acc: 94.9289, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1098, s2.loss_cls: 0.0359, s2.acc: 94.5541, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0527, loss: 1.0373 2023-11-13 21:34:28,635 - mmdet - INFO - Epoch [4][2900/7330] lr: 9.525e-06, eta: 11:41:44, time: 0.671, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1447, s0.acc: 94.6143, s0.loss_bbox: 0.2371, s0.loss_mask: 0.2198, s1.loss_cls: 0.0717, s1.acc: 94.5403, s1.loss_bbox: 0.1117, s1.loss_mask: 0.1108, s2.loss_cls: 0.0373, s2.acc: 94.2747, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0530, loss: 1.0788 2023-11-13 21:35:01,900 - mmdet - INFO - Epoch [4][2950/7330] lr: 9.525e-06, eta: 11:41:11, time: 0.665, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0252, s0.loss_cls: 0.1524, s0.acc: 94.3511, s0.loss_bbox: 0.2505, s0.loss_mask: 0.2250, s1.loss_cls: 0.0741, s1.acc: 94.4299, s1.loss_bbox: 0.1153, s1.loss_mask: 0.1132, s2.loss_cls: 0.0380, s2.acc: 94.1756, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0533, loss: 1.1177 2023-11-13 21:35:35,270 - mmdet - INFO - Epoch [4][3000/7330] lr: 9.525e-06, eta: 11:40:37, time: 0.667, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0247, s0.loss_cls: 0.1480, s0.acc: 94.5601, s0.loss_bbox: 0.2427, s0.loss_mask: 0.2217, s1.loss_cls: 0.0720, s1.acc: 94.5725, s1.loss_bbox: 0.1127, s1.loss_mask: 0.1114, s2.loss_cls: 0.0370, s2.acc: 94.3292, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0529, loss: 1.0910 2023-11-13 21:36:09,114 - mmdet - INFO - Epoch [4][3050/7330] lr: 9.525e-06, eta: 11:40:05, time: 0.677, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0266, s0.loss_cls: 0.1514, s0.acc: 94.4517, s0.loss_bbox: 0.2410, s0.loss_mask: 0.2248, s1.loss_cls: 0.0739, s1.acc: 94.5006, s1.loss_bbox: 0.1120, s1.loss_mask: 0.1124, s2.loss_cls: 0.0380, s2.acc: 94.2329, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0534, loss: 1.1037 2023-11-13 21:36:42,724 - mmdet - INFO - Epoch [4][3100/7330] lr: 9.525e-06, eta: 11:39:32, time: 0.672, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1408, s0.acc: 94.7993, s0.loss_bbox: 0.2313, s0.loss_mask: 0.2165, s1.loss_cls: 0.0694, s1.acc: 94.7731, s1.loss_bbox: 0.1090, s1.loss_mask: 0.1100, s2.loss_cls: 0.0359, s2.acc: 94.5391, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0525, loss: 1.0552 2023-11-13 21:37:15,842 - mmdet - INFO - Epoch [4][3150/7330] lr: 9.525e-06, eta: 11:38:58, time: 0.662, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0253, s0.loss_cls: 0.1461, s0.acc: 94.5815, s0.loss_bbox: 0.2396, s0.loss_mask: 0.2191, s1.loss_cls: 0.0714, s1.acc: 94.5555, s1.loss_bbox: 0.1124, s1.loss_mask: 0.1110, s2.loss_cls: 0.0366, s2.acc: 94.3642, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0527, loss: 1.0833 2023-11-13 21:37:49,232 - mmdet - INFO - Epoch [4][3200/7330] lr: 9.525e-06, eta: 11:38:25, time: 0.668, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1476, s0.acc: 94.5530, s0.loss_bbox: 0.2425, s0.loss_mask: 0.2232, s1.loss_cls: 0.0720, s1.acc: 94.6218, s1.loss_bbox: 0.1125, s1.loss_mask: 0.1123, s2.loss_cls: 0.0376, s2.acc: 94.2561, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0531, loss: 1.0955 2023-11-13 21:38:22,428 - mmdet - INFO - Epoch [4][3250/7330] lr: 9.525e-06, eta: 11:37:51, time: 0.664, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1483, s0.acc: 94.6147, s0.loss_bbox: 0.2367, s0.loss_mask: 0.2209, s1.loss_cls: 0.0720, s1.acc: 94.6624, s1.loss_bbox: 0.1103, s1.loss_mask: 0.1108, s2.loss_cls: 0.0373, s2.acc: 94.3726, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0526, loss: 1.0796 2023-11-13 21:38:56,090 - mmdet - INFO - Epoch [4][3300/7330] lr: 9.525e-06, eta: 11:37:18, time: 0.673, data_time: 0.019, memory: 30140, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1458, s0.acc: 94.5986, s0.loss_bbox: 0.2399, s0.loss_mask: 0.2224, s1.loss_cls: 0.0712, s1.acc: 94.6558, s1.loss_bbox: 0.1119, s1.loss_mask: 0.1125, s2.loss_cls: 0.0367, s2.acc: 94.3660, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0534, loss: 1.0893 2023-11-13 21:39:29,523 - mmdet - INFO - Epoch [4][3350/7330] lr: 9.525e-06, eta: 11:36:45, time: 0.669, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1477, s0.acc: 94.4963, s0.loss_bbox: 0.2426, s0.loss_mask: 0.2206, s1.loss_cls: 0.0717, s1.acc: 94.6367, s1.loss_bbox: 0.1140, s1.loss_mask: 0.1116, s2.loss_cls: 0.0373, s2.acc: 94.2615, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0527, loss: 1.0923 2023-11-13 21:40:03,143 - mmdet - INFO - Epoch [4][3400/7330] lr: 9.525e-06, eta: 11:36:12, time: 0.672, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1473, s0.acc: 94.4854, s0.loss_bbox: 0.2414, s0.loss_mask: 0.2209, s1.loss_cls: 0.0717, s1.acc: 94.5633, s1.loss_bbox: 0.1136, s1.loss_mask: 0.1109, s2.loss_cls: 0.0368, s2.acc: 94.2927, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0531, loss: 1.0915 2023-11-13 21:40:36,596 - mmdet - INFO - Epoch [4][3450/7330] lr: 9.525e-06, eta: 11:35:39, time: 0.669, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0237, s0.loss_cls: 0.1387, s0.acc: 94.7578, s0.loss_bbox: 0.2336, s0.loss_mask: 0.2195, s1.loss_cls: 0.0697, s1.acc: 94.6805, s1.loss_bbox: 0.1104, s1.loss_mask: 0.1111, s2.loss_cls: 0.0361, s2.acc: 94.3241, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0525, loss: 1.0633 2023-11-13 21:41:10,012 - mmdet - INFO - Epoch [4][3500/7330] lr: 9.525e-06, eta: 11:35:06, time: 0.668, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1441, s0.acc: 94.6597, s0.loss_bbox: 0.2329, s0.loss_mask: 0.2179, s1.loss_cls: 0.0722, s1.acc: 94.5711, s1.loss_bbox: 0.1088, s1.loss_mask: 0.1100, s2.loss_cls: 0.0373, s2.acc: 94.2397, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0521, loss: 1.0645 2023-11-13 21:41:43,850 - mmdet - INFO - Epoch [4][3550/7330] lr: 9.525e-06, eta: 11:34:34, time: 0.677, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0258, s0.loss_cls: 0.1513, s0.acc: 94.4690, s0.loss_bbox: 0.2419, s0.loss_mask: 0.2204, s1.loss_cls: 0.0745, s1.acc: 94.4192, s1.loss_bbox: 0.1131, s1.loss_mask: 0.1115, s2.loss_cls: 0.0378, s2.acc: 94.1867, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0529, loss: 1.0988 2023-11-13 21:42:16,903 - mmdet - INFO - Epoch [4][3600/7330] lr: 9.525e-06, eta: 11:33:59, time: 0.661, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1402, s0.acc: 94.7576, s0.loss_bbox: 0.2327, s0.loss_mask: 0.2210, s1.loss_cls: 0.0684, s1.acc: 94.8655, s1.loss_bbox: 0.1078, s1.loss_mask: 0.1103, s2.loss_cls: 0.0354, s2.acc: 94.6316, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0527, loss: 1.0570 2023-11-13 21:42:50,336 - mmdet - INFO - Epoch [4][3650/7330] lr: 9.525e-06, eta: 11:33:26, time: 0.669, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1486, s0.acc: 94.4805, s0.loss_bbox: 0.2418, s0.loss_mask: 0.2205, s1.loss_cls: 0.0721, s1.acc: 94.6025, s1.loss_bbox: 0.1140, s1.loss_mask: 0.1115, s2.loss_cls: 0.0370, s2.acc: 94.3552, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0531, loss: 1.0915 2023-11-13 21:43:23,968 - mmdet - INFO - Epoch [4][3700/7330] lr: 9.525e-06, eta: 11:32:53, time: 0.673, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0262, s0.loss_cls: 0.1545, s0.acc: 94.2532, s0.loss_bbox: 0.2486, s0.loss_mask: 0.2291, s1.loss_cls: 0.0751, s1.acc: 94.2887, s1.loss_bbox: 0.1143, s1.loss_mask: 0.1144, s2.loss_cls: 0.0381, s2.acc: 94.0958, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0541, loss: 1.1245 2023-11-13 21:43:57,346 - mmdet - INFO - Epoch [4][3750/7330] lr: 9.525e-06, eta: 11:32:20, time: 0.668, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0251, s0.loss_cls: 0.1536, s0.acc: 94.3101, s0.loss_bbox: 0.2414, s0.loss_mask: 0.2213, s1.loss_cls: 0.0754, s1.acc: 94.3110, s1.loss_bbox: 0.1119, s1.loss_mask: 0.1100, s2.loss_cls: 0.0384, s2.acc: 94.0958, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0519, loss: 1.0988 2023-11-13 21:44:30,901 - mmdet - INFO - Epoch [4][3800/7330] lr: 9.525e-06, eta: 11:31:47, time: 0.671, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0259, s0.loss_cls: 0.1468, s0.acc: 94.4893, s0.loss_bbox: 0.2422, s0.loss_mask: 0.2222, s1.loss_cls: 0.0723, s1.acc: 94.5550, s1.loss_bbox: 0.1131, s1.loss_mask: 0.1111, s2.loss_cls: 0.0371, s2.acc: 94.2022, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0529, loss: 1.0942 2023-11-13 21:45:04,497 - mmdet - INFO - Epoch [4][3850/7330] lr: 9.525e-06, eta: 11:31:14, time: 0.672, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1516, s0.acc: 94.4897, s0.loss_bbox: 0.2426, s0.loss_mask: 0.2225, s1.loss_cls: 0.0737, s1.acc: 94.5934, s1.loss_bbox: 0.1129, s1.loss_mask: 0.1131, s2.loss_cls: 0.0381, s2.acc: 94.3110, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0539, loss: 1.1027 2023-11-13 21:45:38,342 - mmdet - INFO - Epoch [4][3900/7330] lr: 9.525e-06, eta: 11:30:42, time: 0.677, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1554, s0.acc: 94.2581, s0.loss_bbox: 0.2488, s0.loss_mask: 0.2256, s1.loss_cls: 0.0751, s1.acc: 94.3392, s1.loss_bbox: 0.1163, s1.loss_mask: 0.1137, s2.loss_cls: 0.0387, s2.acc: 94.0076, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0543, loss: 1.1240 2023-11-13 21:46:11,282 - mmdet - INFO - Epoch [4][3950/7330] lr: 9.525e-06, eta: 11:30:07, time: 0.659, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1449, s0.acc: 94.5820, s0.loss_bbox: 0.2378, s0.loss_mask: 0.2190, s1.loss_cls: 0.0707, s1.acc: 94.5635, s1.loss_bbox: 0.1108, s1.loss_mask: 0.1098, s2.loss_cls: 0.0367, s2.acc: 94.3763, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0522, loss: 1.0745 2023-11-13 21:46:44,419 - mmdet - INFO - Epoch [4][4000/7330] lr: 9.525e-06, eta: 11:29:33, time: 0.663, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1465, s0.acc: 94.4954, s0.loss_bbox: 0.2352, s0.loss_mask: 0.2245, s1.loss_cls: 0.0724, s1.acc: 94.4864, s1.loss_bbox: 0.1093, s1.loss_mask: 0.1125, s2.loss_cls: 0.0376, s2.acc: 94.0303, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0531, loss: 1.0802 2023-11-13 21:47:17,970 - mmdet - INFO - Epoch [4][4050/7330] lr: 9.525e-06, eta: 11:29:00, time: 0.671, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0253, s0.loss_cls: 0.1462, s0.acc: 94.6099, s0.loss_bbox: 0.2298, s0.loss_mask: 0.2150, s1.loss_cls: 0.0720, s1.acc: 94.6064, s1.loss_bbox: 0.1078, s1.loss_mask: 0.1091, s2.loss_cls: 0.0372, s2.acc: 94.3006, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0517, loss: 1.0619 2023-11-13 21:47:51,527 - mmdet - INFO - Epoch [4][4100/7330] lr: 9.525e-06, eta: 11:28:27, time: 0.671, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1481, s0.acc: 94.5276, s0.loss_bbox: 0.2430, s0.loss_mask: 0.2237, s1.loss_cls: 0.0731, s1.acc: 94.5018, s1.loss_bbox: 0.1135, s1.loss_mask: 0.1117, s2.loss_cls: 0.0371, s2.acc: 94.2178, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0531, loss: 1.1005 2023-11-13 21:48:24,963 - mmdet - INFO - Epoch [4][4150/7330] lr: 9.525e-06, eta: 11:27:54, time: 0.669, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1484, s0.acc: 94.5391, s0.loss_bbox: 0.2374, s0.loss_mask: 0.2166, s1.loss_cls: 0.0735, s1.acc: 94.5436, s1.loss_bbox: 0.1110, s1.loss_mask: 0.1089, s2.loss_cls: 0.0379, s2.acc: 94.2340, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0518, loss: 1.0772 2023-11-13 21:48:58,335 - mmdet - INFO - Epoch [4][4200/7330] lr: 9.525e-06, eta: 11:27:21, time: 0.667, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0252, s0.loss_cls: 0.1472, s0.acc: 94.6882, s0.loss_bbox: 0.2385, s0.loss_mask: 0.2146, s1.loss_cls: 0.0718, s1.acc: 94.6413, s1.loss_bbox: 0.1124, s1.loss_mask: 0.1083, s2.loss_cls: 0.0372, s2.acc: 94.4017, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0519, loss: 1.0767 2023-11-13 21:49:31,677 - mmdet - INFO - Epoch [4][4250/7330] lr: 9.525e-06, eta: 11:26:47, time: 0.667, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1444, s0.acc: 94.6770, s0.loss_bbox: 0.2371, s0.loss_mask: 0.2210, s1.loss_cls: 0.0706, s1.acc: 94.6614, s1.loss_bbox: 0.1114, s1.loss_mask: 0.1107, s2.loss_cls: 0.0362, s2.acc: 94.4739, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0527, loss: 1.0779 2023-11-13 21:50:04,960 - mmdet - INFO - Epoch [4][4300/7330] lr: 9.525e-06, eta: 11:26:14, time: 0.666, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0253, s0.loss_cls: 0.1487, s0.acc: 94.4592, s0.loss_bbox: 0.2460, s0.loss_mask: 0.2232, s1.loss_cls: 0.0724, s1.acc: 94.5263, s1.loss_bbox: 0.1141, s1.loss_mask: 0.1126, s2.loss_cls: 0.0371, s2.acc: 94.2307, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0532, loss: 1.1027 2023-11-13 21:50:38,391 - mmdet - INFO - Epoch [4][4350/7330] lr: 9.525e-06, eta: 11:25:40, time: 0.669, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1490, s0.acc: 94.4702, s0.loss_bbox: 0.2445, s0.loss_mask: 0.2255, s1.loss_cls: 0.0723, s1.acc: 94.5435, s1.loss_bbox: 0.1131, s1.loss_mask: 0.1122, s2.loss_cls: 0.0371, s2.acc: 94.3274, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0534, loss: 1.0993 2023-11-13 21:51:11,615 - mmdet - INFO - Epoch [4][4400/7330] lr: 9.525e-06, eta: 11:25:07, time: 0.664, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0248, s0.loss_cls: 0.1465, s0.acc: 94.4668, s0.loss_bbox: 0.2427, s0.loss_mask: 0.2171, s1.loss_cls: 0.0719, s1.acc: 94.4485, s1.loss_bbox: 0.1143, s1.loss_mask: 0.1098, s2.loss_cls: 0.0374, s2.acc: 94.0562, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0519, loss: 1.0845 2023-11-13 21:51:45,305 - mmdet - INFO - Epoch [4][4450/7330] lr: 9.525e-06, eta: 11:24:34, time: 0.674, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0263, s0.loss_cls: 0.1576, s0.acc: 94.1650, s0.loss_bbox: 0.2532, s0.loss_mask: 0.2277, s1.loss_cls: 0.0773, s1.acc: 94.1715, s1.loss_bbox: 0.1183, s1.loss_mask: 0.1143, s2.loss_cls: 0.0397, s2.acc: 93.9284, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0542, loss: 1.1404 2023-11-13 21:52:18,782 - mmdet - INFO - Epoch [4][4500/7330] lr: 9.525e-06, eta: 11:24:01, time: 0.669, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1502, s0.acc: 94.4238, s0.loss_bbox: 0.2439, s0.loss_mask: 0.2261, s1.loss_cls: 0.0737, s1.acc: 94.4158, s1.loss_bbox: 0.1129, s1.loss_mask: 0.1129, s2.loss_cls: 0.0381, s2.acc: 94.0827, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0534, loss: 1.1068 2023-11-13 21:52:51,685 - mmdet - INFO - Epoch [4][4550/7330] lr: 9.525e-06, eta: 11:23:26, time: 0.658, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1432, s0.acc: 94.7039, s0.loss_bbox: 0.2409, s0.loss_mask: 0.2210, s1.loss_cls: 0.0703, s1.acc: 94.7326, s1.loss_bbox: 0.1126, s1.loss_mask: 0.1123, s2.loss_cls: 0.0367, s2.acc: 94.3272, s2.loss_bbox: 0.0468, s2.loss_mask: 0.0532, loss: 1.0809 2023-11-13 21:53:25,162 - mmdet - INFO - Epoch [4][4600/7330] lr: 9.525e-06, eta: 11:22:53, time: 0.669, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1458, s0.acc: 94.5864, s0.loss_bbox: 0.2378, s0.loss_mask: 0.2189, s1.loss_cls: 0.0715, s1.acc: 94.6608, s1.loss_bbox: 0.1109, s1.loss_mask: 0.1104, s2.loss_cls: 0.0366, s2.acc: 94.4148, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0523, loss: 1.0774 2023-11-13 21:53:58,564 - mmdet - INFO - Epoch [4][4650/7330] lr: 9.525e-06, eta: 11:22:20, time: 0.668, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1481, s0.acc: 94.6077, s0.loss_bbox: 0.2352, s0.loss_mask: 0.2169, s1.loss_cls: 0.0737, s1.acc: 94.5729, s1.loss_bbox: 0.1100, s1.loss_mask: 0.1099, s2.loss_cls: 0.0383, s2.acc: 94.2112, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0519, loss: 1.0752 2023-11-13 21:54:32,120 - mmdet - INFO - Epoch [4][4700/7330] lr: 9.525e-06, eta: 11:21:47, time: 0.671, data_time: 0.019, memory: 30140, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0252, s0.loss_cls: 0.1631, s0.acc: 93.9905, s0.loss_bbox: 0.2479, s0.loss_mask: 0.2255, s1.loss_cls: 0.0803, s1.acc: 94.0224, s1.loss_bbox: 0.1135, s1.loss_mask: 0.1126, s2.loss_cls: 0.0410, s2.acc: 93.7463, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0532, loss: 1.1330 2023-11-13 21:55:05,833 - mmdet - INFO - Epoch [4][4750/7330] lr: 9.525e-06, eta: 11:21:14, time: 0.674, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0259, s0.loss_cls: 0.1478, s0.acc: 94.5833, s0.loss_bbox: 0.2381, s0.loss_mask: 0.2167, s1.loss_cls: 0.0722, s1.acc: 94.7254, s1.loss_bbox: 0.1113, s1.loss_mask: 0.1102, s2.loss_cls: 0.0375, s2.acc: 94.3527, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0526, loss: 1.0825 2023-11-13 21:55:39,357 - mmdet - INFO - Epoch [4][4800/7330] lr: 9.525e-06, eta: 11:20:41, time: 0.670, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1477, s0.acc: 94.5256, s0.loss_bbox: 0.2401, s0.loss_mask: 0.2210, s1.loss_cls: 0.0721, s1.acc: 94.5151, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1109, s2.loss_cls: 0.0372, s2.acc: 94.2489, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0527, loss: 1.0838 2023-11-13 21:56:12,840 - mmdet - INFO - Epoch [4][4850/7330] lr: 9.525e-06, eta: 11:20:08, time: 0.670, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0256, s0.loss_cls: 0.1482, s0.acc: 94.4949, s0.loss_bbox: 0.2387, s0.loss_mask: 0.2166, s1.loss_cls: 0.0729, s1.acc: 94.5517, s1.loss_bbox: 0.1131, s1.loss_mask: 0.1101, s2.loss_cls: 0.0375, s2.acc: 94.1786, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0520, loss: 1.0834 2023-11-13 21:56:46,239 - mmdet - INFO - Epoch [4][4900/7330] lr: 9.525e-06, eta: 11:19:35, time: 0.668, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1380, s0.acc: 94.9089, s0.loss_bbox: 0.2268, s0.loss_mask: 0.2170, s1.loss_cls: 0.0685, s1.acc: 94.8846, s1.loss_bbox: 0.1064, s1.loss_mask: 0.1106, s2.loss_cls: 0.0351, s2.acc: 94.6434, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0524, loss: 1.0412 2023-11-13 21:57:19,477 - mmdet - INFO - Epoch [4][4950/7330] lr: 9.525e-06, eta: 11:19:01, time: 0.665, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1483, s0.acc: 94.5889, s0.loss_bbox: 0.2380, s0.loss_mask: 0.2209, s1.loss_cls: 0.0721, s1.acc: 94.6333, s1.loss_bbox: 0.1106, s1.loss_mask: 0.1115, s2.loss_cls: 0.0369, s2.acc: 94.3669, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0529, loss: 1.0852 2023-11-13 21:57:52,904 - mmdet - INFO - Epoch [4][5000/7330] lr: 9.525e-06, eta: 11:18:28, time: 0.669, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1469, s0.acc: 94.5659, s0.loss_bbox: 0.2344, s0.loss_mask: 0.2240, s1.loss_cls: 0.0714, s1.acc: 94.6110, s1.loss_bbox: 0.1093, s1.loss_mask: 0.1116, s2.loss_cls: 0.0369, s2.acc: 94.2769, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0530, loss: 1.0788 2023-11-13 21:58:26,320 - mmdet - INFO - Epoch [4][5050/7330] lr: 9.525e-06, eta: 11:17:54, time: 0.667, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0239, s0.loss_cls: 0.1540, s0.acc: 94.3362, s0.loss_bbox: 0.2455, s0.loss_mask: 0.2231, s1.loss_cls: 0.0752, s1.acc: 94.3670, s1.loss_bbox: 0.1155, s1.loss_mask: 0.1126, s2.loss_cls: 0.0383, s2.acc: 94.0365, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0536, loss: 1.1109 2023-11-13 21:58:59,851 - mmdet - INFO - Epoch [4][5100/7330] lr: 9.525e-06, eta: 11:17:21, time: 0.671, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1467, s0.acc: 94.6255, s0.loss_bbox: 0.2375, s0.loss_mask: 0.2206, s1.loss_cls: 0.0713, s1.acc: 94.6452, s1.loss_bbox: 0.1107, s1.loss_mask: 0.1110, s2.loss_cls: 0.0366, s2.acc: 94.4481, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0526, loss: 1.0774 2023-11-13 21:59:33,213 - mmdet - INFO - Epoch [4][5150/7330] lr: 9.525e-06, eta: 11:16:48, time: 0.667, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1464, s0.acc: 94.5374, s0.loss_bbox: 0.2414, s0.loss_mask: 0.2223, s1.loss_cls: 0.0720, s1.acc: 94.4865, s1.loss_bbox: 0.1116, s1.loss_mask: 0.1118, s2.loss_cls: 0.0370, s2.acc: 94.1906, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0531, loss: 1.0877 2023-11-13 22:00:06,170 - mmdet - INFO - Epoch [4][5200/7330] lr: 9.525e-06, eta: 11:16:13, time: 0.659, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0254, s0.loss_cls: 0.1483, s0.acc: 94.4797, s0.loss_bbox: 0.2403, s0.loss_mask: 0.2194, s1.loss_cls: 0.0725, s1.acc: 94.5576, s1.loss_bbox: 0.1137, s1.loss_mask: 0.1105, s2.loss_cls: 0.0377, s2.acc: 94.2350, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0523, loss: 1.0887 2023-11-13 22:00:39,404 - mmdet - INFO - Epoch [4][5250/7330] lr: 9.525e-06, eta: 11:15:40, time: 0.665, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0242, s0.loss_cls: 0.1512, s0.acc: 94.4294, s0.loss_bbox: 0.2355, s0.loss_mask: 0.2190, s1.loss_cls: 0.0753, s1.acc: 94.4443, s1.loss_bbox: 0.1102, s1.loss_mask: 0.1098, s2.loss_cls: 0.0389, s2.acc: 94.1936, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0525, loss: 1.0842 2023-11-13 22:01:12,906 - mmdet - INFO - Epoch [4][5300/7330] lr: 9.525e-06, eta: 11:15:07, time: 0.670, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1497, s0.acc: 94.5039, s0.loss_bbox: 0.2414, s0.loss_mask: 0.2185, s1.loss_cls: 0.0726, s1.acc: 94.6005, s1.loss_bbox: 0.1143, s1.loss_mask: 0.1098, s2.loss_cls: 0.0377, s2.acc: 94.1740, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0520, loss: 1.0898 2023-11-13 22:01:46,254 - mmdet - INFO - Epoch [4][5350/7330] lr: 9.525e-06, eta: 11:14:33, time: 0.667, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1452, s0.acc: 94.6282, s0.loss_bbox: 0.2339, s0.loss_mask: 0.2195, s1.loss_cls: 0.0711, s1.acc: 94.6964, s1.loss_bbox: 0.1094, s1.loss_mask: 0.1112, s2.loss_cls: 0.0362, s2.acc: 94.5337, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0527, loss: 1.0719 2023-11-13 22:02:19,377 - mmdet - INFO - Epoch [4][5400/7330] lr: 9.525e-06, eta: 11:13:59, time: 0.662, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1403, s0.acc: 94.7800, s0.loss_bbox: 0.2364, s0.loss_mask: 0.2181, s1.loss_cls: 0.0691, s1.acc: 94.7981, s1.loss_bbox: 0.1110, s1.loss_mask: 0.1094, s2.loss_cls: 0.0360, s2.acc: 94.5038, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0521, loss: 1.0622 2023-11-13 22:02:52,839 - mmdet - INFO - Epoch [4][5450/7330] lr: 9.525e-06, eta: 11:13:26, time: 0.669, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0247, s0.loss_cls: 0.1527, s0.acc: 94.4561, s0.loss_bbox: 0.2413, s0.loss_mask: 0.2180, s1.loss_cls: 0.0749, s1.acc: 94.3537, s1.loss_bbox: 0.1128, s1.loss_mask: 0.1101, s2.loss_cls: 0.0387, s2.acc: 94.0151, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0525, loss: 1.0956 2023-11-13 22:03:26,293 - mmdet - INFO - Epoch [4][5500/7330] lr: 9.525e-06, eta: 11:12:53, time: 0.669, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0252, s0.loss_cls: 0.1528, s0.acc: 94.3035, s0.loss_bbox: 0.2423, s0.loss_mask: 0.2272, s1.loss_cls: 0.0749, s1.acc: 94.2922, s1.loss_bbox: 0.1145, s1.loss_mask: 0.1146, s2.loss_cls: 0.0385, s2.acc: 94.0827, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0543, loss: 1.1129 2023-11-13 22:03:59,197 - mmdet - INFO - Epoch [4][5550/7330] lr: 9.525e-06, eta: 11:12:18, time: 0.658, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0237, s0.loss_cls: 0.1505, s0.acc: 94.5320, s0.loss_bbox: 0.2401, s0.loss_mask: 0.2207, s1.loss_cls: 0.0743, s1.acc: 94.5522, s1.loss_bbox: 0.1109, s1.loss_mask: 0.1104, s2.loss_cls: 0.0380, s2.acc: 94.1638, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0521, loss: 1.0873 2023-11-13 22:04:32,138 - mmdet - INFO - Epoch [4][5600/7330] lr: 9.525e-06, eta: 11:11:44, time: 0.659, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1449, s0.acc: 94.6545, s0.loss_bbox: 0.2337, s0.loss_mask: 0.2211, s1.loss_cls: 0.0715, s1.acc: 94.6219, s1.loss_bbox: 0.1085, s1.loss_mask: 0.1108, s2.loss_cls: 0.0362, s2.acc: 94.3782, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0528, loss: 1.0701 2023-11-13 22:05:04,986 - mmdet - INFO - Epoch [4][5650/7330] lr: 9.525e-06, eta: 11:11:09, time: 0.657, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1397, s0.acc: 94.8896, s0.loss_bbox: 0.2242, s0.loss_mask: 0.2165, s1.loss_cls: 0.0683, s1.acc: 94.8610, s1.loss_bbox: 0.1053, s1.loss_mask: 0.1079, s2.loss_cls: 0.0353, s2.acc: 94.5785, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0513, loss: 1.0359 2023-11-13 22:05:38,158 - mmdet - INFO - Epoch [4][5700/7330] lr: 9.525e-06, eta: 11:10:36, time: 0.663, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1421, s0.acc: 94.6731, s0.loss_bbox: 0.2281, s0.loss_mask: 0.2199, s1.loss_cls: 0.0699, s1.acc: 94.6676, s1.loss_bbox: 0.1084, s1.loss_mask: 0.1112, s2.loss_cls: 0.0357, s2.acc: 94.3172, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0532, loss: 1.0591 2023-11-13 22:06:11,549 - mmdet - INFO - Epoch [4][5750/7330] lr: 9.525e-06, eta: 11:10:02, time: 0.668, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0239, s0.loss_cls: 0.1458, s0.acc: 94.6338, s0.loss_bbox: 0.2319, s0.loss_mask: 0.2175, s1.loss_cls: 0.0710, s1.acc: 94.6215, s1.loss_bbox: 0.1078, s1.loss_mask: 0.1086, s2.loss_cls: 0.0367, s2.acc: 94.3157, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0511, loss: 1.0581 2023-11-13 22:06:45,104 - mmdet - INFO - Epoch [4][5800/7330] lr: 9.525e-06, eta: 11:09:29, time: 0.671, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0255, s0.loss_cls: 0.1492, s0.acc: 94.5510, s0.loss_bbox: 0.2346, s0.loss_mask: 0.2181, s1.loss_cls: 0.0726, s1.acc: 94.6179, s1.loss_bbox: 0.1089, s1.loss_mask: 0.1098, s2.loss_cls: 0.0373, s2.acc: 94.3802, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0518, loss: 1.0744 2023-11-13 22:07:18,139 - mmdet - INFO - Epoch [4][5850/7330] lr: 9.525e-06, eta: 11:08:55, time: 0.661, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0258, s0.loss_cls: 0.1528, s0.acc: 94.3745, s0.loss_bbox: 0.2420, s0.loss_mask: 0.2234, s1.loss_cls: 0.0760, s1.acc: 94.3181, s1.loss_bbox: 0.1127, s1.loss_mask: 0.1123, s2.loss_cls: 0.0385, s2.acc: 94.1121, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0532, loss: 1.1059 2023-11-13 22:07:51,536 - mmdet - INFO - Epoch [4][5900/7330] lr: 9.525e-06, eta: 11:08:22, time: 0.668, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1430, s0.acc: 94.7383, s0.loss_bbox: 0.2346, s0.loss_mask: 0.2156, s1.loss_cls: 0.0696, s1.acc: 94.8003, s1.loss_bbox: 0.1087, s1.loss_mask: 0.1092, s2.loss_cls: 0.0360, s2.acc: 94.5540, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0517, loss: 1.0585 2023-11-13 22:08:24,449 - mmdet - INFO - Epoch [4][5950/7330] lr: 9.525e-06, eta: 11:07:47, time: 0.658, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1393, s0.acc: 94.8967, s0.loss_bbox: 0.2298, s0.loss_mask: 0.2123, s1.loss_cls: 0.0680, s1.acc: 94.9961, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1087, s2.loss_cls: 0.0354, s2.acc: 94.6432, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0522, loss: 1.0431 2023-11-13 22:08:57,459 - mmdet - INFO - Epoch [4][6000/7330] lr: 9.525e-06, eta: 11:07:13, time: 0.660, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1401, s0.acc: 94.8669, s0.loss_bbox: 0.2301, s0.loss_mask: 0.2159, s1.loss_cls: 0.0687, s1.acc: 94.8939, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1101, s2.loss_cls: 0.0358, s2.acc: 94.5389, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0524, loss: 1.0499 2023-11-13 22:09:30,928 - mmdet - INFO - Epoch [4][6050/7330] lr: 9.525e-06, eta: 11:06:40, time: 0.669, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1414, s0.acc: 94.8276, s0.loss_bbox: 0.2305, s0.loss_mask: 0.2167, s1.loss_cls: 0.0690, s1.acc: 94.8352, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1092, s2.loss_cls: 0.0357, s2.acc: 94.6065, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0521, loss: 1.0528 2023-11-13 22:10:03,958 - mmdet - INFO - Epoch [4][6100/7330] lr: 9.525e-06, eta: 11:06:06, time: 0.661, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0248, s0.loss_cls: 0.1457, s0.acc: 94.6777, s0.loss_bbox: 0.2324, s0.loss_mask: 0.2167, s1.loss_cls: 0.0710, s1.acc: 94.6225, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1103, s2.loss_cls: 0.0364, s2.acc: 94.4160, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0528, loss: 1.0640 2023-11-13 22:10:37,144 - mmdet - INFO - Epoch [4][6150/7330] lr: 9.525e-06, eta: 11:05:32, time: 0.664, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1467, s0.acc: 94.5305, s0.loss_bbox: 0.2348, s0.loss_mask: 0.2179, s1.loss_cls: 0.0707, s1.acc: 94.6550, s1.loss_bbox: 0.1098, s1.loss_mask: 0.1097, s2.loss_cls: 0.0363, s2.acc: 94.3877, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0520, loss: 1.0729 2023-11-13 22:11:10,456 - mmdet - INFO - Epoch [4][6200/7330] lr: 9.525e-06, eta: 11:04:59, time: 0.666, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0258, s0.loss_cls: 0.1421, s0.acc: 94.7314, s0.loss_bbox: 0.2316, s0.loss_mask: 0.2158, s1.loss_cls: 0.0689, s1.acc: 94.8354, s1.loss_bbox: 0.1085, s1.loss_mask: 0.1094, s2.loss_cls: 0.0357, s2.acc: 94.5049, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0521, loss: 1.0558 2023-11-13 22:11:43,417 - mmdet - INFO - Epoch [4][6250/7330] lr: 9.525e-06, eta: 11:04:24, time: 0.659, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1383, s0.acc: 94.9119, s0.loss_bbox: 0.2318, s0.loss_mask: 0.2109, s1.loss_cls: 0.0681, s1.acc: 94.8871, s1.loss_bbox: 0.1085, s1.loss_mask: 0.1069, s2.loss_cls: 0.0354, s2.acc: 94.5597, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0508, loss: 1.0369 2023-11-13 22:12:16,546 - mmdet - INFO - Epoch [4][6300/7330] lr: 9.525e-06, eta: 11:03:50, time: 0.663, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0253, s0.loss_cls: 0.1471, s0.acc: 94.5066, s0.loss_bbox: 0.2340, s0.loss_mask: 0.2157, s1.loss_cls: 0.0715, s1.acc: 94.5885, s1.loss_bbox: 0.1078, s1.loss_mask: 0.1084, s2.loss_cls: 0.0365, s2.acc: 94.3260, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0514, loss: 1.0652 2023-11-13 22:12:49,893 - mmdet - INFO - Epoch [4][6350/7330] lr: 9.525e-06, eta: 11:03:17, time: 0.667, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0253, s0.loss_cls: 0.1504, s0.acc: 94.4338, s0.loss_bbox: 0.2396, s0.loss_mask: 0.2231, s1.loss_cls: 0.0740, s1.acc: 94.3548, s1.loss_bbox: 0.1118, s1.loss_mask: 0.1124, s2.loss_cls: 0.0380, s2.acc: 94.1656, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0536, loss: 1.0984 2023-11-13 22:13:23,374 - mmdet - INFO - Epoch [4][6400/7330] lr: 9.525e-06, eta: 11:02:44, time: 0.670, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0237, s0.loss_cls: 0.1448, s0.acc: 94.7153, s0.loss_bbox: 0.2323, s0.loss_mask: 0.2180, s1.loss_cls: 0.0708, s1.acc: 94.7195, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1102, s2.loss_cls: 0.0371, s2.acc: 94.3912, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0523, loss: 1.0664 2023-11-13 22:13:56,953 - mmdet - INFO - Epoch [4][6450/7330] lr: 9.525e-06, eta: 11:02:11, time: 0.672, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1392, s0.acc: 94.6851, s0.loss_bbox: 0.2354, s0.loss_mask: 0.2221, s1.loss_cls: 0.0682, s1.acc: 94.6701, s1.loss_bbox: 0.1096, s1.loss_mask: 0.1122, s2.loss_cls: 0.0352, s2.acc: 94.4812, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0534, loss: 1.0687 2023-11-13 22:14:30,114 - mmdet - INFO - Epoch [4][6500/7330] lr: 9.525e-06, eta: 11:01:37, time: 0.663, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0239, s0.loss_cls: 0.1460, s0.acc: 94.7051, s0.loss_bbox: 0.2375, s0.loss_mask: 0.2147, s1.loss_cls: 0.0718, s1.acc: 94.6923, s1.loss_bbox: 0.1123, s1.loss_mask: 0.1095, s2.loss_cls: 0.0369, s2.acc: 94.3911, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0521, loss: 1.0717 2023-11-13 22:15:03,486 - mmdet - INFO - Epoch [4][6550/7330] lr: 9.525e-06, eta: 11:01:04, time: 0.667, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0244, s0.loss_cls: 0.1481, s0.acc: 94.5127, s0.loss_bbox: 0.2374, s0.loss_mask: 0.2170, s1.loss_cls: 0.0729, s1.acc: 94.5109, s1.loss_bbox: 0.1113, s1.loss_mask: 0.1096, s2.loss_cls: 0.0374, s2.acc: 94.2362, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0522, loss: 1.0800 2023-11-13 22:15:36,390 - mmdet - INFO - Epoch [4][6600/7330] lr: 9.525e-06, eta: 11:00:29, time: 0.658, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1439, s0.acc: 94.7029, s0.loss_bbox: 0.2339, s0.loss_mask: 0.2203, s1.loss_cls: 0.0702, s1.acc: 94.7105, s1.loss_bbox: 0.1103, s1.loss_mask: 0.1117, s2.loss_cls: 0.0366, s2.acc: 94.4392, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0533, loss: 1.0717 2023-11-13 22:16:09,893 - mmdet - INFO - Epoch [4][6650/7330] lr: 9.525e-06, eta: 10:59:56, time: 0.670, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0251, s0.loss_cls: 0.1452, s0.acc: 94.5603, s0.loss_bbox: 0.2444, s0.loss_mask: 0.2230, s1.loss_cls: 0.0705, s1.acc: 94.5801, s1.loss_bbox: 0.1149, s1.loss_mask: 0.1122, s2.loss_cls: 0.0367, s2.acc: 94.3156, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0531, loss: 1.0928 2023-11-13 22:16:43,042 - mmdet - INFO - Epoch [4][6700/7330] lr: 9.525e-06, eta: 10:59:22, time: 0.663, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1495, s0.acc: 94.4800, s0.loss_bbox: 0.2404, s0.loss_mask: 0.2202, s1.loss_cls: 0.0739, s1.acc: 94.4976, s1.loss_bbox: 0.1133, s1.loss_mask: 0.1111, s2.loss_cls: 0.0382, s2.acc: 94.1925, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0527, loss: 1.0943 2023-11-13 22:17:16,239 - mmdet - INFO - Epoch [4][6750/7330] lr: 9.525e-06, eta: 10:58:49, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0253, s0.loss_cls: 0.1460, s0.acc: 94.5916, s0.loss_bbox: 0.2346, s0.loss_mask: 0.2194, s1.loss_cls: 0.0713, s1.acc: 94.7355, s1.loss_bbox: 0.1094, s1.loss_mask: 0.1112, s2.loss_cls: 0.0367, s2.acc: 94.4812, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0526, loss: 1.0752 2023-11-13 22:17:49,182 - mmdet - INFO - Epoch [4][6800/7330] lr: 9.525e-06, eta: 10:58:14, time: 0.659, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1562, s0.acc: 94.1787, s0.loss_bbox: 0.2443, s0.loss_mask: 0.2231, s1.loss_cls: 0.0767, s1.acc: 94.0912, s1.loss_bbox: 0.1136, s1.loss_mask: 0.1123, s2.loss_cls: 0.0396, s2.acc: 93.7854, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0528, loss: 1.1114 2023-11-13 22:18:22,223 - mmdet - INFO - Epoch [4][6850/7330] lr: 9.525e-06, eta: 10:57:40, time: 0.661, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1495, s0.acc: 94.5981, s0.loss_bbox: 0.2385, s0.loss_mask: 0.2195, s1.loss_cls: 0.0725, s1.acc: 94.6282, s1.loss_bbox: 0.1103, s1.loss_mask: 0.1113, s2.loss_cls: 0.0372, s2.acc: 94.3993, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0528, loss: 1.0845 2023-11-13 22:18:55,383 - mmdet - INFO - Epoch [4][6900/7330] lr: 9.525e-06, eta: 10:57:07, time: 0.663, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1394, s0.acc: 94.7000, s0.loss_bbox: 0.2319, s0.loss_mask: 0.2132, s1.loss_cls: 0.0686, s1.acc: 94.6723, s1.loss_bbox: 0.1098, s1.loss_mask: 0.1080, s2.loss_cls: 0.0359, s2.acc: 94.3928, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0514, loss: 1.0487 2023-11-13 22:19:28,308 - mmdet - INFO - Epoch [4][6950/7330] lr: 9.525e-06, eta: 10:56:32, time: 0.659, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1440, s0.acc: 94.5730, s0.loss_bbox: 0.2356, s0.loss_mask: 0.2243, s1.loss_cls: 0.0713, s1.acc: 94.5183, s1.loss_bbox: 0.1095, s1.loss_mask: 0.1133, s2.loss_cls: 0.0366, s2.acc: 94.3057, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0542, loss: 1.0793 2023-11-13 22:20:00,991 - mmdet - INFO - Epoch [4][7000/7330] lr: 9.525e-06, eta: 10:55:57, time: 0.654, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1447, s0.acc: 94.6650, s0.loss_bbox: 0.2303, s0.loss_mask: 0.2151, s1.loss_cls: 0.0722, s1.acc: 94.5620, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1094, s2.loss_cls: 0.0371, s2.acc: 94.3251, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0517, loss: 1.0566 2023-11-13 22:20:34,400 - mmdet - INFO - Epoch [4][7050/7330] lr: 9.525e-06, eta: 10:55:24, time: 0.668, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1523, s0.acc: 94.4993, s0.loss_bbox: 0.2409, s0.loss_mask: 0.2233, s1.loss_cls: 0.0748, s1.acc: 94.4233, s1.loss_bbox: 0.1114, s1.loss_mask: 0.1116, s2.loss_cls: 0.0384, s2.acc: 94.1740, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0527, loss: 1.0984 2023-11-13 22:21:07,383 - mmdet - INFO - Epoch [4][7100/7330] lr: 9.525e-06, eta: 10:54:50, time: 0.660, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1485, s0.acc: 94.5842, s0.loss_bbox: 0.2370, s0.loss_mask: 0.2218, s1.loss_cls: 0.0713, s1.acc: 94.6428, s1.loss_bbox: 0.1095, s1.loss_mask: 0.1097, s2.loss_cls: 0.0367, s2.acc: 94.4422, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0519, loss: 1.0788 2023-11-13 22:21:40,902 - mmdet - INFO - Epoch [4][7150/7330] lr: 9.525e-06, eta: 10:54:17, time: 0.670, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1595, s0.acc: 94.0740, s0.loss_bbox: 0.2516, s0.loss_mask: 0.2224, s1.loss_cls: 0.0780, s1.acc: 94.1518, s1.loss_bbox: 0.1177, s1.loss_mask: 0.1124, s2.loss_cls: 0.0401, s2.acc: 93.8229, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0532, loss: 1.1304 2023-11-13 22:22:13,837 - mmdet - INFO - Epoch [4][7200/7330] lr: 9.525e-06, eta: 10:53:43, time: 0.659, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0244, s0.loss_cls: 0.1430, s0.acc: 94.6079, s0.loss_bbox: 0.2332, s0.loss_mask: 0.2219, s1.loss_cls: 0.0707, s1.acc: 94.5639, s1.loss_bbox: 0.1089, s1.loss_mask: 0.1109, s2.loss_cls: 0.0359, s2.acc: 94.3737, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0526, loss: 1.0698 2023-11-13 22:22:47,174 - mmdet - INFO - Epoch [4][7250/7330] lr: 9.525e-06, eta: 10:53:09, time: 0.667, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0239, s0.loss_cls: 0.1463, s0.acc: 94.6699, s0.loss_bbox: 0.2308, s0.loss_mask: 0.2205, s1.loss_cls: 0.0708, s1.acc: 94.7932, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1115, s2.loss_cls: 0.0364, s2.acc: 94.5107, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0530, loss: 1.0666 2023-11-13 22:23:20,291 - mmdet - INFO - Epoch [4][7300/7330] lr: 9.525e-06, eta: 10:52:35, time: 0.662, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1453, s0.acc: 94.6064, s0.loss_bbox: 0.2397, s0.loss_mask: 0.2227, s1.loss_cls: 0.0709, s1.acc: 94.7087, s1.loss_bbox: 0.1122, s1.loss_mask: 0.1131, s2.loss_cls: 0.0365, s2.acc: 94.5345, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0536, loss: 1.0844 2023-11-13 22:23:40,516 - mmdet - INFO - Saving checkpoint at 4 epochs 2023-11-13 22:25:07,786 - mmdet - INFO - Evaluating bbox... 2023-11-13 22:25:35,551 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.532 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.727 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.582 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.364 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.580 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.693 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.654 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.654 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.654 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.477 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.703 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.812 2023-11-13 22:25:35,553 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.628 | bicycle | 0.403 | car | 0.512 | | motorcycle | 0.512 | airplane | 0.767 | bus | 0.749 | | train | 0.744 | truck | 0.492 | boat | 0.391 | | traffic light | 0.335 | fire hydrant | 0.745 | stop sign | 0.718 | | parking meter | 0.546 | bench | 0.359 | bird | 0.468 | | cat | 0.791 | dog | 0.779 | horse | 0.678 | | sheep | 0.609 | cow | 0.684 | elephant | 0.754 | | bear | 0.791 | zebra | 0.755 | giraffe | 0.759 | | backpack | 0.234 | umbrella | 0.510 | handbag | 0.273 | | tie | 0.445 | suitcase | 0.528 | frisbee | 0.731 | | skis | 0.332 | snowboard | 0.501 | sports ball | 0.511 | | kite | 0.516 | baseball bat | 0.512 | baseball glove | 0.491 | | skateboard | 0.632 | surfboard | 0.506 | tennis racket | 0.614 | | bottle | 0.508 | wine glass | 0.466 | cup | 0.557 | | fork | 0.516 | knife | 0.349 | spoon | 0.329 | | bowl | 0.518 | banana | 0.326 | apple | 0.307 | | sandwich | 0.515 | orange | 0.387 | broccoli | 0.299 | | carrot | 0.309 | hot dog | 0.581 | pizza | 0.618 | | donut | 0.626 | cake | 0.499 | chair | 0.402 | | couch | 0.536 | potted plant | 0.376 | bed | 0.507 | | dining table | 0.346 | toilet | 0.699 | tv | 0.669 | | laptop | 0.719 | mouse | 0.645 | remote | 0.500 | | keyboard | 0.591 | cell phone | 0.514 | microwave | 0.666 | | oven | 0.444 | toaster | 0.562 | sink | 0.491 | | refrigerator | 0.743 | book | 0.232 | clock | 0.574 | | vase | 0.468 | scissors | 0.519 | teddy bear | 0.619 | | hair drier | 0.282 | toothbrush | 0.445 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 22:25:35,553 - mmdet - INFO - Evaluating segm... 2023-11-13 22:26:08,746 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.461 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.703 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.499 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.266 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.499 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.655 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.574 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.574 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.574 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.403 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.618 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.734 2023-11-13 22:26:08,749 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.526 | bicycle | 0.233 | car | 0.455 | | motorcycle | 0.408 | airplane | 0.562 | bus | 0.708 | | train | 0.719 | truck | 0.456 | boat | 0.337 | | traffic light | 0.312 | fire hydrant | 0.707 | stop sign | 0.682 | | parking meter | 0.536 | bench | 0.265 | bird | 0.372 | | cat | 0.747 | dog | 0.685 | horse | 0.498 | | sheep | 0.535 | cow | 0.572 | elephant | 0.655 | | bear | 0.753 | zebra | 0.614 | giraffe | 0.563 | | backpack | 0.222 | umbrella | 0.550 | handbag | 0.246 | | tie | 0.402 | suitcase | 0.534 | frisbee | 0.683 | | skis | 0.071 | snowboard | 0.334 | sports ball | 0.493 | | kite | 0.362 | baseball bat | 0.338 | baseball glove | 0.500 | | skateboard | 0.390 | surfboard | 0.412 | tennis racket | 0.613 | | bottle | 0.468 | wine glass | 0.395 | cup | 0.545 | | fork | 0.268 | knife | 0.234 | spoon | 0.218 | | bowl | 0.466 | banana | 0.268 | apple | 0.293 | | sandwich | 0.518 | orange | 0.382 | broccoli | 0.263 | | carrot | 0.261 | hot dog | 0.476 | pizza | 0.575 | | donut | 0.619 | cake | 0.492 | chair | 0.278 | | couch | 0.433 | potted plant | 0.305 | bed | 0.391 | | dining table | 0.189 | toilet | 0.659 | tv | 0.677 | | laptop | 0.687 | mouse | 0.643 | remote | 0.422 | | keyboard | 0.564 | cell phone | 0.461 | microwave | 0.653 | | oven | 0.389 | toaster | 0.590 | sink | 0.441 | | refrigerator | 0.717 | book | 0.176 | clock | 0.562 | | vase | 0.449 | scissors | 0.342 | teddy bear | 0.576 | | hair drier | 0.195 | toothbrush | 0.250 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 22:26:09,196 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco/best_bbox_mAP_epoch_3.pth was removed 2023-11-13 22:26:17,139 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_4.pth. 2023-11-13 22:26:17,140 - mmdet - INFO - Best bbox_mAP is 0.5321 at 4 epoch. 2023-11-13 22:26:17,140 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 22:26:17,140 - mmdet - INFO - Epoch(val) [4][625] bbox_mAP: 0.5321, bbox_mAP_50: 0.7266, bbox_mAP_75: 0.5820, bbox_mAP_s: 0.3640, bbox_mAP_m: 0.5803, bbox_mAP_l: 0.6929, bbox_mAP_copypaste: 0.5321 0.7266 0.5820 0.3640 0.5803 0.6929, segm_mAP: 0.4605, segm_mAP_50: 0.7026, segm_mAP_75: 0.4990, segm_mAP_s: 0.2662, segm_mAP_m: 0.4991, segm_mAP_l: 0.6545, segm_mAP_copypaste: 0.4605 0.7026 0.4990 0.2662 0.4991 0.6545 2023-11-13 22:26:54,253 - mmdet - INFO - Epoch [5][50/7330] lr: 9.525e-06, eta: 10:51:09, time: 0.742, data_time: 0.093, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0242, s0.loss_cls: 0.1389, s0.acc: 94.8574, s0.loss_bbox: 0.2289, s0.loss_mask: 0.2156, s1.loss_cls: 0.0668, s1.acc: 94.9700, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1089, s2.loss_cls: 0.0345, s2.acc: 94.7087, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0518, loss: 1.0422 2023-11-13 22:27:27,413 - mmdet - INFO - Epoch [5][100/7330] lr: 9.525e-06, eta: 10:50:36, time: 0.663, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1272, s0.acc: 95.2485, s0.loss_bbox: 0.2135, s0.loss_mask: 0.2077, s1.loss_cls: 0.0626, s1.acc: 95.3021, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1067, s2.loss_cls: 0.0328, s2.acc: 94.9813, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0510, loss: 0.9880 2023-11-13 22:28:00,973 - mmdet - INFO - Epoch [5][150/7330] lr: 9.525e-06, eta: 10:50:03, time: 0.671, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0244, s0.loss_cls: 0.1335, s0.acc: 94.9934, s0.loss_bbox: 0.2298, s0.loss_mask: 0.2160, s1.loss_cls: 0.0644, s1.acc: 95.0159, s1.loss_bbox: 0.1071, s1.loss_mask: 0.1087, s2.loss_cls: 0.0331, s2.acc: 94.7807, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0514, loss: 1.0333 2023-11-13 22:28:34,747 - mmdet - INFO - Epoch [5][200/7330] lr: 9.525e-06, eta: 10:49:30, time: 0.675, data_time: 0.031, memory: 30140, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1346, s0.acc: 94.9299, s0.loss_bbox: 0.2325, s0.loss_mask: 0.2108, s1.loss_cls: 0.0651, s1.acc: 95.0286, s1.loss_bbox: 0.1092, s1.loss_mask: 0.1075, s2.loss_cls: 0.0336, s2.acc: 94.7855, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0515, loss: 1.0355 2023-11-13 22:29:08,097 - mmdet - INFO - Epoch [5][250/7330] lr: 9.525e-06, eta: 10:48:57, time: 0.667, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1353, s0.acc: 94.9255, s0.loss_bbox: 0.2319, s0.loss_mask: 0.2172, s1.loss_cls: 0.0648, s1.acc: 95.0505, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1094, s2.loss_cls: 0.0337, s2.acc: 94.7455, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0524, loss: 1.0416 2023-11-13 22:29:41,340 - mmdet - INFO - Epoch [5][300/7330] lr: 9.525e-06, eta: 10:48:24, time: 0.665, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1371, s0.acc: 94.8799, s0.loss_bbox: 0.2319, s0.loss_mask: 0.2152, s1.loss_cls: 0.0658, s1.acc: 95.0289, s1.loss_bbox: 0.1085, s1.loss_mask: 0.1084, s2.loss_cls: 0.0345, s2.acc: 94.7653, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0517, loss: 1.0397 2023-11-13 22:30:15,024 - mmdet - INFO - Epoch [5][350/7330] lr: 9.525e-06, eta: 10:47:51, time: 0.674, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1356, s0.acc: 94.9575, s0.loss_bbox: 0.2336, s0.loss_mask: 0.2123, s1.loss_cls: 0.0646, s1.acc: 95.1214, s1.loss_bbox: 0.1096, s1.loss_mask: 0.1075, s2.loss_cls: 0.0338, s2.acc: 94.7846, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0512, loss: 1.0371 2023-11-13 22:30:48,989 - mmdet - INFO - Epoch [5][400/7330] lr: 9.525e-06, eta: 10:47:19, time: 0.679, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1416, s0.acc: 94.6213, s0.loss_bbox: 0.2360, s0.loss_mask: 0.2164, s1.loss_cls: 0.0681, s1.acc: 94.7409, s1.loss_bbox: 0.1109, s1.loss_mask: 0.1103, s2.loss_cls: 0.0352, s2.acc: 94.4563, s2.loss_bbox: 0.0468, s2.loss_mask: 0.0527, loss: 1.0656 2023-11-13 22:31:22,765 - mmdet - INFO - Epoch [5][450/7330] lr: 9.525e-06, eta: 10:46:46, time: 0.676, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1405, s0.acc: 94.8101, s0.loss_bbox: 0.2283, s0.loss_mask: 0.2115, s1.loss_cls: 0.0682, s1.acc: 94.8561, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1074, s2.loss_cls: 0.0351, s2.acc: 94.5884, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0511, loss: 1.0360 2023-11-13 22:31:55,897 - mmdet - INFO - Epoch [5][500/7330] lr: 9.525e-06, eta: 10:46:12, time: 0.663, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1252, s0.acc: 95.3267, s0.loss_bbox: 0.2149, s0.loss_mask: 0.2043, s1.loss_cls: 0.0608, s1.acc: 95.4241, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1037, s2.loss_cls: 0.0313, s2.acc: 95.2718, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0495, loss: 0.9739 2023-11-13 22:32:28,984 - mmdet - INFO - Epoch [5][550/7330] lr: 9.525e-06, eta: 10:45:39, time: 0.662, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1317, s0.acc: 95.0723, s0.loss_bbox: 0.2279, s0.loss_mask: 0.2140, s1.loss_cls: 0.0640, s1.acc: 95.1581, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1088, s2.loss_cls: 0.0327, s2.acc: 95.0625, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0518, loss: 1.0268 2023-11-13 22:33:02,241 - mmdet - INFO - Epoch [5][600/7330] lr: 9.525e-06, eta: 10:45:05, time: 0.665, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1389, s0.acc: 94.8538, s0.loss_bbox: 0.2355, s0.loss_mask: 0.2160, s1.loss_cls: 0.0676, s1.acc: 94.9039, s1.loss_bbox: 0.1105, s1.loss_mask: 0.1094, s2.loss_cls: 0.0356, s2.acc: 94.3940, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0523, loss: 1.0554 2023-11-13 22:33:35,798 - mmdet - INFO - Epoch [5][650/7330] lr: 9.525e-06, eta: 10:44:32, time: 0.671, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0237, s0.loss_cls: 0.1356, s0.acc: 94.9551, s0.loss_bbox: 0.2302, s0.loss_mask: 0.2190, s1.loss_cls: 0.0656, s1.acc: 95.0491, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1107, s2.loss_cls: 0.0340, s2.acc: 94.7695, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0523, loss: 1.0433 2023-11-13 22:34:09,035 - mmdet - INFO - Epoch [5][700/7330] lr: 9.525e-06, eta: 10:43:59, time: 0.665, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1422, s0.acc: 94.7261, s0.loss_bbox: 0.2379, s0.loss_mask: 0.2194, s1.loss_cls: 0.0685, s1.acc: 94.8462, s1.loss_bbox: 0.1122, s1.loss_mask: 0.1118, s2.loss_cls: 0.0356, s2.acc: 94.5070, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0532, loss: 1.0713 2023-11-13 22:34:42,478 - mmdet - INFO - Epoch [5][750/7330] lr: 9.525e-06, eta: 10:43:25, time: 0.669, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1370, s0.acc: 94.8704, s0.loss_bbox: 0.2280, s0.loss_mask: 0.2177, s1.loss_cls: 0.0670, s1.acc: 94.9219, s1.loss_bbox: 0.1074, s1.loss_mask: 0.1107, s2.loss_cls: 0.0349, s2.acc: 94.5966, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0525, loss: 1.0435 2023-11-13 22:35:16,390 - mmdet - INFO - Epoch [5][800/7330] lr: 9.525e-06, eta: 10:42:53, time: 0.678, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1383, s0.acc: 94.8601, s0.loss_bbox: 0.2315, s0.loss_mask: 0.2146, s1.loss_cls: 0.0671, s1.acc: 94.9129, s1.loss_bbox: 0.1093, s1.loss_mask: 0.1093, s2.loss_cls: 0.0346, s2.acc: 94.6398, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0525, loss: 1.0443 2023-11-13 22:35:49,817 - mmdet - INFO - Epoch [5][850/7330] lr: 9.525e-06, eta: 10:42:20, time: 0.669, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1410, s0.acc: 94.7188, s0.loss_bbox: 0.2349, s0.loss_mask: 0.2144, s1.loss_cls: 0.0705, s1.acc: 94.6334, s1.loss_bbox: 0.1097, s1.loss_mask: 0.1079, s2.loss_cls: 0.0362, s2.acc: 94.3437, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0516, loss: 1.0572 2023-11-13 22:36:23,164 - mmdet - INFO - Epoch [5][900/7330] lr: 9.525e-06, eta: 10:41:47, time: 0.667, data_time: 0.031, memory: 30140, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1392, s0.acc: 94.7449, s0.loss_bbox: 0.2323, s0.loss_mask: 0.2134, s1.loss_cls: 0.0677, s1.acc: 94.7996, s1.loss_bbox: 0.1083, s1.loss_mask: 0.1079, s2.loss_cls: 0.0352, s2.acc: 94.4875, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0512, loss: 1.0444 2023-11-13 22:36:56,333 - mmdet - INFO - Epoch [5][950/7330] lr: 9.525e-06, eta: 10:41:13, time: 0.663, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1365, s0.acc: 94.8091, s0.loss_bbox: 0.2312, s0.loss_mask: 0.2169, s1.loss_cls: 0.0672, s1.acc: 94.8312, s1.loss_bbox: 0.1085, s1.loss_mask: 0.1103, s2.loss_cls: 0.0344, s2.acc: 94.5823, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0524, loss: 1.0455 2023-11-13 22:37:29,231 - mmdet - INFO - Epoch [5][1000/7330] lr: 9.525e-06, eta: 10:40:39, time: 0.658, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0237, s0.loss_cls: 0.1427, s0.acc: 94.7100, s0.loss_bbox: 0.2386, s0.loss_mask: 0.2179, s1.loss_cls: 0.0689, s1.acc: 94.7913, s1.loss_bbox: 0.1119, s1.loss_mask: 0.1099, s2.loss_cls: 0.0358, s2.acc: 94.5149, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0520, loss: 1.0682 2023-11-13 22:38:02,305 - mmdet - INFO - Epoch [5][1050/7330] lr: 9.525e-06, eta: 10:40:05, time: 0.662, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1376, s0.acc: 94.8438, s0.loss_bbox: 0.2311, s0.loss_mask: 0.2190, s1.loss_cls: 0.0671, s1.acc: 94.8642, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1109, s2.loss_cls: 0.0351, s2.acc: 94.5676, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0524, loss: 1.0500 2023-11-13 22:38:35,784 - mmdet - INFO - Epoch [5][1100/7330] lr: 9.525e-06, eta: 10:39:32, time: 0.670, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1367, s0.acc: 94.8250, s0.loss_bbox: 0.2360, s0.loss_mask: 0.2222, s1.loss_cls: 0.0665, s1.acc: 94.8489, s1.loss_bbox: 0.1118, s1.loss_mask: 0.1122, s2.loss_cls: 0.0347, s2.acc: 94.6408, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0533, loss: 1.0631 2023-11-13 22:39:09,379 - mmdet - INFO - Epoch [5][1150/7330] lr: 9.525e-06, eta: 10:38:59, time: 0.672, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1383, s0.acc: 94.8606, s0.loss_bbox: 0.2328, s0.loss_mask: 0.2144, s1.loss_cls: 0.0683, s1.acc: 94.8243, s1.loss_bbox: 0.1083, s1.loss_mask: 0.1079, s2.loss_cls: 0.0351, s2.acc: 94.5217, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0513, loss: 1.0469 2023-11-13 22:39:42,853 - mmdet - INFO - Epoch [5][1200/7330] lr: 9.525e-06, eta: 10:38:26, time: 0.670, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1265, s0.acc: 95.3281, s0.loss_bbox: 0.2207, s0.loss_mask: 0.2091, s1.loss_cls: 0.0610, s1.acc: 95.3390, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1071, s2.loss_cls: 0.0314, s2.acc: 95.1293, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0514, loss: 0.9973 2023-11-13 22:40:16,048 - mmdet - INFO - Epoch [5][1250/7330] lr: 9.525e-06, eta: 10:37:52, time: 0.664, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1379, s0.acc: 94.8074, s0.loss_bbox: 0.2325, s0.loss_mask: 0.2145, s1.loss_cls: 0.0667, s1.acc: 94.8826, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1077, s2.loss_cls: 0.0339, s2.acc: 94.7705, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0512, loss: 1.0438 2023-11-13 22:40:49,026 - mmdet - INFO - Epoch [5][1300/7330] lr: 9.525e-06, eta: 10:37:18, time: 0.659, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1354, s0.acc: 94.9553, s0.loss_bbox: 0.2294, s0.loss_mask: 0.2154, s1.loss_cls: 0.0656, s1.acc: 95.0179, s1.loss_bbox: 0.1074, s1.loss_mask: 0.1091, s2.loss_cls: 0.0332, s2.acc: 94.8576, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0516, loss: 1.0338 2023-11-13 22:41:22,428 - mmdet - INFO - Epoch [5][1350/7330] lr: 9.525e-06, eta: 10:36:45, time: 0.668, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1354, s0.acc: 94.8694, s0.loss_bbox: 0.2301, s0.loss_mask: 0.2154, s1.loss_cls: 0.0669, s1.acc: 94.8877, s1.loss_bbox: 0.1087, s1.loss_mask: 0.1093, s2.loss_cls: 0.0344, s2.acc: 94.6493, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0522, loss: 1.0418 2023-11-13 22:41:55,860 - mmdet - INFO - Epoch [5][1400/7330] lr: 9.525e-06, eta: 10:36:12, time: 0.669, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0247, s0.loss_cls: 0.1382, s0.acc: 94.8323, s0.loss_bbox: 0.2298, s0.loss_mask: 0.2138, s1.loss_cls: 0.0668, s1.acc: 94.8191, s1.loss_bbox: 0.1083, s1.loss_mask: 0.1078, s2.loss_cls: 0.0345, s2.acc: 94.5834, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0514, loss: 1.0397 2023-11-13 22:42:29,034 - mmdet - INFO - Epoch [5][1450/7330] lr: 9.525e-06, eta: 10:35:38, time: 0.664, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1356, s0.acc: 95.0686, s0.loss_bbox: 0.2217, s0.loss_mask: 0.2120, s1.loss_cls: 0.0659, s1.acc: 95.1153, s1.loss_bbox: 0.1053, s1.loss_mask: 0.1082, s2.loss_cls: 0.0342, s2.acc: 94.8574, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0517, loss: 1.0220 2023-11-13 22:43:02,448 - mmdet - INFO - Epoch [5][1500/7330] lr: 9.525e-06, eta: 10:35:05, time: 0.668, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1437, s0.acc: 94.5825, s0.loss_bbox: 0.2417, s0.loss_mask: 0.2180, s1.loss_cls: 0.0698, s1.acc: 94.6885, s1.loss_bbox: 0.1130, s1.loss_mask: 0.1096, s2.loss_cls: 0.0359, s2.acc: 94.3693, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0518, loss: 1.0762 2023-11-13 22:43:35,698 - mmdet - INFO - Epoch [5][1550/7330] lr: 9.525e-06, eta: 10:34:31, time: 0.665, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1393, s0.acc: 94.8281, s0.loss_bbox: 0.2327, s0.loss_mask: 0.2114, s1.loss_cls: 0.0668, s1.acc: 94.9594, s1.loss_bbox: 0.1084, s1.loss_mask: 0.1069, s2.loss_cls: 0.0350, s2.acc: 94.6269, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0509, loss: 1.0398 2023-11-13 22:44:09,042 - mmdet - INFO - Epoch [5][1600/7330] lr: 9.525e-06, eta: 10:33:58, time: 0.667, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1356, s0.acc: 94.9187, s0.loss_bbox: 0.2281, s0.loss_mask: 0.2121, s1.loss_cls: 0.0658, s1.acc: 94.9320, s1.loss_bbox: 0.1079, s1.loss_mask: 0.1070, s2.loss_cls: 0.0340, s2.acc: 94.6361, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0508, loss: 1.0277 2023-11-13 22:44:42,184 - mmdet - INFO - Epoch [5][1650/7330] lr: 9.525e-06, eta: 10:33:24, time: 0.663, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1403, s0.acc: 94.8853, s0.loss_bbox: 0.2321, s0.loss_mask: 0.2131, s1.loss_cls: 0.0674, s1.acc: 94.9600, s1.loss_bbox: 0.1090, s1.loss_mask: 0.1088, s2.loss_cls: 0.0349, s2.acc: 94.6694, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0520, loss: 1.0499 2023-11-13 22:45:15,491 - mmdet - INFO - Epoch [5][1700/7330] lr: 9.525e-06, eta: 10:32:51, time: 0.666, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1366, s0.acc: 94.9561, s0.loss_bbox: 0.2237, s0.loss_mask: 0.2153, s1.loss_cls: 0.0662, s1.acc: 94.9688, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1090, s2.loss_cls: 0.0338, s2.acc: 94.7547, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0519, loss: 1.0313 2023-11-13 22:45:48,769 - mmdet - INFO - Epoch [5][1750/7330] lr: 9.525e-06, eta: 10:32:17, time: 0.666, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1338, s0.acc: 94.9629, s0.loss_bbox: 0.2229, s0.loss_mask: 0.2095, s1.loss_cls: 0.0639, s1.acc: 95.1804, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1060, s2.loss_cls: 0.0330, s2.acc: 94.8619, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0506, loss: 1.0156 2023-11-13 22:46:21,451 - mmdet - INFO - Epoch [5][1800/7330] lr: 9.525e-06, eta: 10:31:43, time: 0.654, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1322, s0.acc: 95.0474, s0.loss_bbox: 0.2231, s0.loss_mask: 0.2146, s1.loss_cls: 0.0645, s1.acc: 95.0530, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1094, s2.loss_cls: 0.0332, s2.acc: 94.8326, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0521, loss: 1.0171 2023-11-13 22:46:54,674 - mmdet - INFO - Epoch [5][1850/7330] lr: 9.525e-06, eta: 10:31:09, time: 0.664, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0255, s0.loss_cls: 0.1433, s0.acc: 94.6194, s0.loss_bbox: 0.2399, s0.loss_mask: 0.2186, s1.loss_cls: 0.0701, s1.acc: 94.6374, s1.loss_bbox: 0.1125, s1.loss_mask: 0.1105, s2.loss_cls: 0.0359, s2.acc: 94.3656, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0529, loss: 1.0773 2023-11-13 22:47:27,924 - mmdet - INFO - Epoch [5][1900/7330] lr: 9.525e-06, eta: 10:30:36, time: 0.665, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1435, s0.acc: 94.5857, s0.loss_bbox: 0.2395, s0.loss_mask: 0.2187, s1.loss_cls: 0.0697, s1.acc: 94.7098, s1.loss_bbox: 0.1124, s1.loss_mask: 0.1106, s2.loss_cls: 0.0364, s2.acc: 94.4485, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0529, loss: 1.0744 2023-11-13 22:48:01,429 - mmdet - INFO - Epoch [5][1950/7330] lr: 9.525e-06, eta: 10:30:03, time: 0.670, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1342, s0.acc: 94.9299, s0.loss_bbox: 0.2339, s0.loss_mask: 0.2121, s1.loss_cls: 0.0654, s1.acc: 94.9935, s1.loss_bbox: 0.1114, s1.loss_mask: 0.1085, s2.loss_cls: 0.0341, s2.acc: 94.6452, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0517, loss: 1.0416 2023-11-13 22:48:34,551 - mmdet - INFO - Epoch [5][2000/7330] lr: 9.525e-06, eta: 10:29:29, time: 0.662, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1365, s0.acc: 94.8711, s0.loss_bbox: 0.2233, s0.loss_mask: 0.2135, s1.loss_cls: 0.0671, s1.acc: 94.9290, s1.loss_bbox: 0.1059, s1.loss_mask: 0.1091, s2.loss_cls: 0.0345, s2.acc: 94.6590, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0520, loss: 1.0290 2023-11-13 22:49:08,222 - mmdet - INFO - Epoch [5][2050/7330] lr: 9.525e-06, eta: 10:28:56, time: 0.673, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1398, s0.acc: 94.7087, s0.loss_bbox: 0.2324, s0.loss_mask: 0.2171, s1.loss_cls: 0.0684, s1.acc: 94.7045, s1.loss_bbox: 0.1099, s1.loss_mask: 0.1089, s2.loss_cls: 0.0353, s2.acc: 94.4987, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0517, loss: 1.0521 2023-11-13 22:49:41,246 - mmdet - INFO - Epoch [5][2100/7330] lr: 9.525e-06, eta: 10:28:22, time: 0.661, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1367, s0.acc: 94.9307, s0.loss_bbox: 0.2244, s0.loss_mask: 0.2142, s1.loss_cls: 0.0663, s1.acc: 94.9423, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1086, s2.loss_cls: 0.0343, s2.acc: 94.7111, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0521, loss: 1.0298 2023-11-13 22:50:15,110 - mmdet - INFO - Epoch [5][2150/7330] lr: 9.525e-06, eta: 10:27:50, time: 0.677, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0253, s0.loss_cls: 0.1455, s0.acc: 94.6248, s0.loss_bbox: 0.2374, s0.loss_mask: 0.2202, s1.loss_cls: 0.0705, s1.acc: 94.6804, s1.loss_bbox: 0.1108, s1.loss_mask: 0.1112, s2.loss_cls: 0.0362, s2.acc: 94.3743, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0526, loss: 1.0782 2023-11-13 22:50:48,114 - mmdet - INFO - Epoch [5][2200/7330] lr: 9.525e-06, eta: 10:27:16, time: 0.660, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1337, s0.acc: 94.9644, s0.loss_bbox: 0.2279, s0.loss_mask: 0.2130, s1.loss_cls: 0.0655, s1.acc: 94.9835, s1.loss_bbox: 0.1070, s1.loss_mask: 0.1073, s2.loss_cls: 0.0339, s2.acc: 94.6934, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0511, loss: 1.0272 2023-11-13 22:51:21,432 - mmdet - INFO - Epoch [5][2250/7330] lr: 9.525e-06, eta: 10:26:43, time: 0.666, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1256, s0.acc: 95.2617, s0.loss_bbox: 0.2137, s0.loss_mask: 0.2123, s1.loss_cls: 0.0614, s1.acc: 95.2939, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1070, s2.loss_cls: 0.0315, s2.acc: 95.0634, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0508, loss: 0.9865 2023-11-13 22:51:54,677 - mmdet - INFO - Epoch [5][2300/7330] lr: 9.525e-06, eta: 10:26:09, time: 0.665, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1370, s0.acc: 94.8606, s0.loss_bbox: 0.2304, s0.loss_mask: 0.2160, s1.loss_cls: 0.0666, s1.acc: 94.8969, s1.loss_bbox: 0.1093, s1.loss_mask: 0.1100, s2.loss_cls: 0.0349, s2.acc: 94.6517, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0524, loss: 1.0453 2023-11-13 22:52:27,952 - mmdet - INFO - Epoch [5][2350/7330] lr: 9.525e-06, eta: 10:25:36, time: 0.666, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1398, s0.acc: 94.8457, s0.loss_bbox: 0.2316, s0.loss_mask: 0.2176, s1.loss_cls: 0.0683, s1.acc: 94.8531, s1.loss_bbox: 0.1077, s1.loss_mask: 0.1086, s2.loss_cls: 0.0349, s2.acc: 94.5625, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0516, loss: 1.0487 2023-11-13 22:53:01,560 - mmdet - INFO - Epoch [5][2400/7330] lr: 9.525e-06, eta: 10:25:03, time: 0.672, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0264, s0.loss_cls: 0.1481, s0.acc: 94.4348, s0.loss_bbox: 0.2449, s0.loss_mask: 0.2220, s1.loss_cls: 0.0719, s1.acc: 94.5774, s1.loss_bbox: 0.1144, s1.loss_mask: 0.1119, s2.loss_cls: 0.0373, s2.acc: 94.1911, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0527, loss: 1.0996 2023-11-13 22:53:34,782 - mmdet - INFO - Epoch [5][2450/7330] lr: 9.525e-06, eta: 10:24:29, time: 0.664, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1340, s0.acc: 95.1157, s0.loss_bbox: 0.2186, s0.loss_mask: 0.2085, s1.loss_cls: 0.0659, s1.acc: 95.2057, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1059, s2.loss_cls: 0.0339, s2.acc: 94.9333, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0502, loss: 1.0052 2023-11-13 22:54:07,839 - mmdet - INFO - Epoch [5][2500/7330] lr: 9.525e-06, eta: 10:23:55, time: 0.661, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1349, s0.acc: 95.0452, s0.loss_bbox: 0.2253, s0.loss_mask: 0.2134, s1.loss_cls: 0.0654, s1.acc: 95.1401, s1.loss_bbox: 0.1062, s1.loss_mask: 0.1080, s2.loss_cls: 0.0334, s2.acc: 94.8204, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0511, loss: 1.0222 2023-11-13 22:54:41,645 - mmdet - INFO - Epoch [5][2550/7330] lr: 9.525e-06, eta: 10:23:23, time: 0.676, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1392, s0.acc: 94.8682, s0.loss_bbox: 0.2297, s0.loss_mask: 0.2083, s1.loss_cls: 0.0688, s1.acc: 94.8747, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1062, s2.loss_cls: 0.0358, s2.acc: 94.4768, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0505, loss: 1.0349 2023-11-13 22:55:14,695 - mmdet - INFO - Epoch [5][2600/7330] lr: 9.525e-06, eta: 10:22:49, time: 0.661, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1354, s0.acc: 94.9343, s0.loss_bbox: 0.2292, s0.loss_mask: 0.2133, s1.loss_cls: 0.0660, s1.acc: 95.0047, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1085, s2.loss_cls: 0.0343, s2.acc: 94.6993, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0515, loss: 1.0344 2023-11-13 22:55:48,002 - mmdet - INFO - Epoch [5][2650/7330] lr: 9.525e-06, eta: 10:22:16, time: 0.666, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1374, s0.acc: 94.8833, s0.loss_bbox: 0.2281, s0.loss_mask: 0.2118, s1.loss_cls: 0.0670, s1.acc: 94.9678, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1066, s2.loss_cls: 0.0345, s2.acc: 94.7770, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0511, loss: 1.0339 2023-11-13 22:56:21,480 - mmdet - INFO - Epoch [5][2700/7330] lr: 9.525e-06, eta: 10:21:42, time: 0.670, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1299, s0.acc: 95.1050, s0.loss_bbox: 0.2186, s0.loss_mask: 0.2130, s1.loss_cls: 0.0633, s1.acc: 95.1533, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1084, s2.loss_cls: 0.0327, s2.acc: 94.9717, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0514, loss: 1.0047 2023-11-13 22:56:54,775 - mmdet - INFO - Epoch [5][2750/7330] lr: 9.525e-06, eta: 10:21:09, time: 0.666, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1326, s0.acc: 95.0559, s0.loss_bbox: 0.2258, s0.loss_mask: 0.2113, s1.loss_cls: 0.0643, s1.acc: 95.1307, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1065, s2.loss_cls: 0.0336, s2.acc: 94.8431, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0510, loss: 1.0182 2023-11-13 22:57:28,203 - mmdet - INFO - Epoch [5][2800/7330] lr: 9.525e-06, eta: 10:20:36, time: 0.668, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1311, s0.acc: 95.0952, s0.loss_bbox: 0.2241, s0.loss_mask: 0.2099, s1.loss_cls: 0.0629, s1.acc: 95.2067, s1.loss_bbox: 0.1052, s1.loss_mask: 0.1061, s2.loss_cls: 0.0326, s2.acc: 94.9440, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0500, loss: 1.0062 2023-11-13 22:58:01,058 - mmdet - INFO - Epoch [5][2850/7330] lr: 9.525e-06, eta: 10:20:02, time: 0.657, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1357, s0.acc: 94.9556, s0.loss_bbox: 0.2209, s0.loss_mask: 0.2102, s1.loss_cls: 0.0674, s1.acc: 94.9057, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1066, s2.loss_cls: 0.0347, s2.acc: 94.5501, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0509, loss: 1.0167 2023-11-13 22:58:33,756 - mmdet - INFO - Epoch [5][2900/7330] lr: 9.525e-06, eta: 10:19:27, time: 0.654, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1346, s0.acc: 95.0305, s0.loss_bbox: 0.2251, s0.loss_mask: 0.2105, s1.loss_cls: 0.0668, s1.acc: 95.0241, s1.loss_bbox: 0.1077, s1.loss_mask: 0.1071, s2.loss_cls: 0.0347, s2.acc: 94.6014, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0512, loss: 1.0215 2023-11-13 22:59:06,893 - mmdet - INFO - Epoch [5][2950/7330] lr: 9.525e-06, eta: 10:18:54, time: 0.663, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1383, s0.acc: 94.8018, s0.loss_bbox: 0.2337, s0.loss_mask: 0.2126, s1.loss_cls: 0.0665, s1.acc: 94.9279, s1.loss_bbox: 0.1096, s1.loss_mask: 0.1083, s2.loss_cls: 0.0343, s2.acc: 94.6343, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0516, loss: 1.0469 2023-11-13 22:59:40,154 - mmdet - INFO - Epoch [5][3000/7330] lr: 9.525e-06, eta: 10:18:20, time: 0.665, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0239, s0.loss_cls: 0.1395, s0.acc: 94.9189, s0.loss_bbox: 0.2268, s0.loss_mask: 0.2106, s1.loss_cls: 0.0670, s1.acc: 95.0138, s1.loss_bbox: 0.1062, s1.loss_mask: 0.1063, s2.loss_cls: 0.0343, s2.acc: 94.7381, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0511, loss: 1.0309 2023-11-13 23:00:13,678 - mmdet - INFO - Epoch [5][3050/7330] lr: 9.525e-06, eta: 10:17:47, time: 0.671, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1438, s0.acc: 94.6826, s0.loss_bbox: 0.2382, s0.loss_mask: 0.2184, s1.loss_cls: 0.0685, s1.acc: 94.8835, s1.loss_bbox: 0.1123, s1.loss_mask: 0.1100, s2.loss_cls: 0.0354, s2.acc: 94.4766, s2.loss_bbox: 0.0468, s2.loss_mask: 0.0522, loss: 1.0708 2023-11-13 23:00:47,315 - mmdet - INFO - Epoch [5][3100/7330] lr: 9.525e-06, eta: 10:17:14, time: 0.673, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1435, s0.acc: 94.5923, s0.loss_bbox: 0.2395, s0.loss_mask: 0.2167, s1.loss_cls: 0.0711, s1.acc: 94.6408, s1.loss_bbox: 0.1104, s1.loss_mask: 0.1095, s2.loss_cls: 0.0366, s2.acc: 94.3007, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0518, loss: 1.0694 2023-11-13 23:01:20,411 - mmdet - INFO - Epoch [5][3150/7330] lr: 9.525e-06, eta: 10:16:40, time: 0.662, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1359, s0.acc: 94.9102, s0.loss_bbox: 0.2267, s0.loss_mask: 0.2101, s1.loss_cls: 0.0672, s1.acc: 94.8552, s1.loss_bbox: 0.1070, s1.loss_mask: 0.1062, s2.loss_cls: 0.0349, s2.acc: 94.5257, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0506, loss: 1.0259 2023-11-13 23:01:53,865 - mmdet - INFO - Epoch [5][3200/7330] lr: 9.525e-06, eta: 10:16:07, time: 0.669, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1398, s0.acc: 94.7249, s0.loss_bbox: 0.2350, s0.loss_mask: 0.2158, s1.loss_cls: 0.0682, s1.acc: 94.7318, s1.loss_bbox: 0.1099, s1.loss_mask: 0.1087, s2.loss_cls: 0.0355, s2.acc: 94.3793, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0518, loss: 1.0572 2023-11-13 23:02:27,188 - mmdet - INFO - Epoch [5][3250/7330] lr: 9.525e-06, eta: 10:15:34, time: 0.667, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1424, s0.acc: 94.7686, s0.loss_bbox: 0.2352, s0.loss_mask: 0.2197, s1.loss_cls: 0.0703, s1.acc: 94.6718, s1.loss_bbox: 0.1113, s1.loss_mask: 0.1117, s2.loss_cls: 0.0364, s2.acc: 94.3530, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0530, loss: 1.0704 2023-11-13 23:03:00,657 - mmdet - INFO - Epoch [5][3300/7330] lr: 9.525e-06, eta: 10:15:01, time: 0.669, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1412, s0.acc: 94.7085, s0.loss_bbox: 0.2358, s0.loss_mask: 0.2166, s1.loss_cls: 0.0692, s1.acc: 94.6687, s1.loss_bbox: 0.1116, s1.loss_mask: 0.1106, s2.loss_cls: 0.0361, s2.acc: 94.3455, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0528, loss: 1.0671 2023-11-13 23:03:33,643 - mmdet - INFO - Epoch [5][3350/7330] lr: 9.525e-06, eta: 10:14:27, time: 0.660, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1420, s0.acc: 94.7656, s0.loss_bbox: 0.2302, s0.loss_mask: 0.2184, s1.loss_cls: 0.0696, s1.acc: 94.7929, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1105, s2.loss_cls: 0.0352, s2.acc: 94.6403, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0525, loss: 1.0551 2023-11-13 23:04:07,231 - mmdet - INFO - Epoch [5][3400/7330] lr: 9.525e-06, eta: 10:13:54, time: 0.672, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1357, s0.acc: 94.8811, s0.loss_bbox: 0.2236, s0.loss_mask: 0.2130, s1.loss_cls: 0.0674, s1.acc: 94.7905, s1.loss_bbox: 0.1071, s1.loss_mask: 0.1087, s2.loss_cls: 0.0352, s2.acc: 94.3300, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0521, loss: 1.0301 2023-11-13 23:04:40,483 - mmdet - INFO - Epoch [5][3450/7330] lr: 9.525e-06, eta: 10:13:20, time: 0.665, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1312, s0.acc: 95.0557, s0.loss_bbox: 0.2172, s0.loss_mask: 0.2082, s1.loss_cls: 0.0625, s1.acc: 95.2209, s1.loss_bbox: 0.1032, s1.loss_mask: 0.1061, s2.loss_cls: 0.0322, s2.acc: 94.9820, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0509, loss: 0.9944 2023-11-13 23:05:13,754 - mmdet - INFO - Epoch [5][3500/7330] lr: 9.525e-06, eta: 10:12:47, time: 0.665, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1341, s0.acc: 94.9495, s0.loss_bbox: 0.2224, s0.loss_mask: 0.2102, s1.loss_cls: 0.0648, s1.acc: 95.1121, s1.loss_bbox: 0.1057, s1.loss_mask: 0.1070, s2.loss_cls: 0.0335, s2.acc: 94.8272, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0513, loss: 1.0162 2023-11-13 23:05:46,757 - mmdet - INFO - Epoch [5][3550/7330] lr: 9.525e-06, eta: 10:12:13, time: 0.660, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1348, s0.acc: 95.0525, s0.loss_bbox: 0.2176, s0.loss_mask: 0.2102, s1.loss_cls: 0.0660, s1.acc: 95.0781, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1068, s2.loss_cls: 0.0337, s2.acc: 94.8380, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0513, loss: 1.0093 2023-11-13 23:06:19,807 - mmdet - INFO - Epoch [5][3600/7330] lr: 9.525e-06, eta: 10:11:39, time: 0.661, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1417, s0.acc: 94.7095, s0.loss_bbox: 0.2363, s0.loss_mask: 0.2230, s1.loss_cls: 0.0692, s1.acc: 94.7775, s1.loss_bbox: 0.1097, s1.loss_mask: 0.1122, s2.loss_cls: 0.0359, s2.acc: 94.4119, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0531, loss: 1.0723 2023-11-13 23:06:52,906 - mmdet - INFO - Epoch [5][3650/7330] lr: 9.525e-06, eta: 10:11:05, time: 0.662, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1360, s0.acc: 95.0029, s0.loss_bbox: 0.2229, s0.loss_mask: 0.2158, s1.loss_cls: 0.0658, s1.acc: 95.0715, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1086, s2.loss_cls: 0.0340, s2.acc: 94.7564, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0518, loss: 1.0289 2023-11-13 23:07:26,485 - mmdet - INFO - Epoch [5][3700/7330] lr: 9.525e-06, eta: 10:10:33, time: 0.672, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1383, s0.acc: 94.8152, s0.loss_bbox: 0.2281, s0.loss_mask: 0.2155, s1.loss_cls: 0.0681, s1.acc: 94.8600, s1.loss_bbox: 0.1062, s1.loss_mask: 0.1081, s2.loss_cls: 0.0348, s2.acc: 94.6248, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0514, loss: 1.0380 2023-11-13 23:07:59,833 - mmdet - INFO - Epoch [5][3750/7330] lr: 9.525e-06, eta: 10:09:59, time: 0.667, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1359, s0.acc: 94.9451, s0.loss_bbox: 0.2254, s0.loss_mask: 0.2152, s1.loss_cls: 0.0656, s1.acc: 95.0550, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1093, s2.loss_cls: 0.0342, s2.acc: 94.6802, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0520, loss: 1.0324 2023-11-13 23:08:33,698 - mmdet - INFO - Epoch [5][3800/7330] lr: 9.525e-06, eta: 10:09:27, time: 0.677, data_time: 0.032, memory: 30140, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0257, s0.loss_cls: 0.1457, s0.acc: 94.5620, s0.loss_bbox: 0.2363, s0.loss_mask: 0.2143, s1.loss_cls: 0.0707, s1.acc: 94.5491, s1.loss_bbox: 0.1107, s1.loss_mask: 0.1086, s2.loss_cls: 0.0363, s2.acc: 94.2434, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0518, loss: 1.0690 2023-11-13 23:09:06,739 - mmdet - INFO - Epoch [5][3850/7330] lr: 9.525e-06, eta: 10:08:53, time: 0.661, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1446, s0.acc: 94.5889, s0.loss_bbox: 0.2294, s0.loss_mask: 0.2132, s1.loss_cls: 0.0709, s1.acc: 94.6287, s1.loss_bbox: 0.1083, s1.loss_mask: 0.1079, s2.loss_cls: 0.0363, s2.acc: 94.3472, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0512, loss: 1.0505 2023-11-13 23:09:40,056 - mmdet - INFO - Epoch [5][3900/7330] lr: 9.525e-06, eta: 10:08:20, time: 0.666, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1438, s0.acc: 94.6895, s0.loss_bbox: 0.2346, s0.loss_mask: 0.2175, s1.loss_cls: 0.0702, s1.acc: 94.7310, s1.loss_bbox: 0.1102, s1.loss_mask: 0.1093, s2.loss_cls: 0.0368, s2.acc: 94.3489, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0517, loss: 1.0644 2023-11-13 23:10:13,636 - mmdet - INFO - Epoch [5][3950/7330] lr: 9.525e-06, eta: 10:07:47, time: 0.672, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1369, s0.acc: 94.8750, s0.loss_bbox: 0.2256, s0.loss_mask: 0.2100, s1.loss_cls: 0.0663, s1.acc: 94.9678, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1070, s2.loss_cls: 0.0336, s2.acc: 94.8791, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0508, loss: 1.0233 2023-11-13 23:10:47,084 - mmdet - INFO - Epoch [5][4000/7330] lr: 9.525e-06, eta: 10:07:13, time: 0.669, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1371, s0.acc: 94.8601, s0.loss_bbox: 0.2308, s0.loss_mask: 0.2138, s1.loss_cls: 0.0673, s1.acc: 94.7961, s1.loss_bbox: 0.1088, s1.loss_mask: 0.1084, s2.loss_cls: 0.0350, s2.acc: 94.4898, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0518, loss: 1.0448 2023-11-13 23:11:20,104 - mmdet - INFO - Epoch [5][4050/7330] lr: 9.525e-06, eta: 10:06:40, time: 0.660, data_time: 0.032, memory: 30140, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1375, s0.acc: 94.8135, s0.loss_bbox: 0.2295, s0.loss_mask: 0.2167, s1.loss_cls: 0.0669, s1.acc: 94.9040, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1092, s2.loss_cls: 0.0348, s2.acc: 94.5724, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0519, loss: 1.0424 2023-11-13 23:11:53,502 - mmdet - INFO - Epoch [5][4100/7330] lr: 9.525e-06, eta: 10:06:06, time: 0.668, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1431, s0.acc: 94.6973, s0.loss_bbox: 0.2331, s0.loss_mask: 0.2117, s1.loss_cls: 0.0719, s1.acc: 94.5209, s1.loss_bbox: 0.1103, s1.loss_mask: 0.1078, s2.loss_cls: 0.0376, s2.acc: 94.2084, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0513, loss: 1.0590 2023-11-13 23:12:27,272 - mmdet - INFO - Epoch [5][4150/7330] lr: 9.525e-06, eta: 10:05:34, time: 0.675, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1387, s0.acc: 94.8296, s0.loss_bbox: 0.2325, s0.loss_mask: 0.2163, s1.loss_cls: 0.0681, s1.acc: 94.8156, s1.loss_bbox: 0.1092, s1.loss_mask: 0.1101, s2.loss_cls: 0.0352, s2.acc: 94.4613, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0524, loss: 1.0529 2023-11-13 23:13:00,365 - mmdet - INFO - Epoch [5][4200/7330] lr: 9.525e-06, eta: 10:05:00, time: 0.662, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1382, s0.acc: 94.9265, s0.loss_bbox: 0.2265, s0.loss_mask: 0.2149, s1.loss_cls: 0.0672, s1.acc: 94.9497, s1.loss_bbox: 0.1064, s1.loss_mask: 0.1087, s2.loss_cls: 0.0343, s2.acc: 94.7179, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0518, loss: 1.0356 2023-11-13 23:13:33,284 - mmdet - INFO - Epoch [5][4250/7330] lr: 9.525e-06, eta: 10:04:26, time: 0.658, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1337, s0.acc: 95.0991, s0.loss_bbox: 0.2225, s0.loss_mask: 0.2094, s1.loss_cls: 0.0640, s1.acc: 95.2016, s1.loss_bbox: 0.1056, s1.loss_mask: 0.1067, s2.loss_cls: 0.0339, s2.acc: 94.7632, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0508, loss: 1.0109 2023-11-13 23:14:06,468 - mmdet - INFO - Epoch [5][4300/7330] lr: 9.525e-06, eta: 10:03:52, time: 0.664, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1339, s0.acc: 94.9802, s0.loss_bbox: 0.2239, s0.loss_mask: 0.2152, s1.loss_cls: 0.0663, s1.acc: 94.9560, s1.loss_bbox: 0.1056, s1.loss_mask: 0.1089, s2.loss_cls: 0.0341, s2.acc: 94.6440, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0519, loss: 1.0262 2023-11-13 23:14:39,847 - mmdet - INFO - Epoch [5][4350/7330] lr: 9.525e-06, eta: 10:03:19, time: 0.668, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1415, s0.acc: 94.7732, s0.loss_bbox: 0.2331, s0.loss_mask: 0.2141, s1.loss_cls: 0.0691, s1.acc: 94.7412, s1.loss_bbox: 0.1079, s1.loss_mask: 0.1087, s2.loss_cls: 0.0357, s2.acc: 94.4857, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0517, loss: 1.0504 2023-11-13 23:15:12,928 - mmdet - INFO - Epoch [5][4400/7330] lr: 9.525e-06, eta: 10:02:45, time: 0.662, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1361, s0.acc: 95.0034, s0.loss_bbox: 0.2258, s0.loss_mask: 0.2133, s1.loss_cls: 0.0663, s1.acc: 95.0740, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1075, s2.loss_cls: 0.0343, s2.acc: 94.7847, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0511, loss: 1.0307 2023-11-13 23:15:46,676 - mmdet - INFO - Epoch [5][4450/7330] lr: 9.525e-06, eta: 10:02:13, time: 0.675, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0246, s0.loss_cls: 0.1407, s0.acc: 94.6577, s0.loss_bbox: 0.2354, s0.loss_mask: 0.2184, s1.loss_cls: 0.0706, s1.acc: 94.5573, s1.loss_bbox: 0.1107, s1.loss_mask: 0.1104, s2.loss_cls: 0.0364, s2.acc: 94.2668, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0522, loss: 1.0660 2023-11-13 23:16:22,743 - mmdet - INFO - Epoch [5][4500/7330] lr: 9.525e-06, eta: 10:01:44, time: 0.721, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0248, s0.loss_cls: 0.1448, s0.acc: 94.5720, s0.loss_bbox: 0.2369, s0.loss_mask: 0.2191, s1.loss_cls: 0.0702, s1.acc: 94.6675, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1107, s2.loss_cls: 0.0361, s2.acc: 94.4693, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0528, loss: 1.0764 2023-11-13 23:16:58,182 - mmdet - INFO - Epoch [5][4550/7330] lr: 9.525e-06, eta: 10:01:14, time: 0.709, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1398, s0.acc: 94.7668, s0.loss_bbox: 0.2335, s0.loss_mask: 0.2126, s1.loss_cls: 0.0676, s1.acc: 94.8869, s1.loss_bbox: 0.1084, s1.loss_mask: 0.1073, s2.loss_cls: 0.0347, s2.acc: 94.6584, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0511, loss: 1.0428 2023-11-13 23:17:31,857 - mmdet - INFO - Epoch [5][4600/7330] lr: 9.525e-06, eta: 10:00:41, time: 0.674, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0260, s0.loss_cls: 0.1461, s0.acc: 94.5483, s0.loss_bbox: 0.2333, s0.loss_mask: 0.2140, s1.loss_cls: 0.0718, s1.acc: 94.5970, s1.loss_bbox: 0.1101, s1.loss_mask: 0.1094, s2.loss_cls: 0.0370, s2.acc: 94.2341, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0522, loss: 1.0665 2023-11-13 23:18:05,073 - mmdet - INFO - Epoch [5][4650/7330] lr: 9.525e-06, eta: 10:00:07, time: 0.664, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0245, s0.loss_cls: 0.1398, s0.acc: 94.9382, s0.loss_bbox: 0.2273, s0.loss_mask: 0.2157, s1.loss_cls: 0.0686, s1.acc: 94.8814, s1.loss_bbox: 0.1068, s1.loss_mask: 0.1101, s2.loss_cls: 0.0356, s2.acc: 94.5573, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0522, loss: 1.0456 2023-11-13 23:18:38,378 - mmdet - INFO - Epoch [5][4700/7330] lr: 9.525e-06, eta: 9:59:34, time: 0.666, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1403, s0.acc: 94.7791, s0.loss_bbox: 0.2377, s0.loss_mask: 0.2188, s1.loss_cls: 0.0676, s1.acc: 94.8482, s1.loss_bbox: 0.1114, s1.loss_mask: 0.1110, s2.loss_cls: 0.0353, s2.acc: 94.4886, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0526, loss: 1.0673 2023-11-13 23:19:13,801 - mmdet - INFO - Epoch [5][4750/7330] lr: 9.525e-06, eta: 9:59:04, time: 0.708, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1345, s0.acc: 94.8862, s0.loss_bbox: 0.2291, s0.loss_mask: 0.2177, s1.loss_cls: 0.0657, s1.acc: 94.9020, s1.loss_bbox: 0.1079, s1.loss_mask: 0.1094, s2.loss_cls: 0.0341, s2.acc: 94.5556, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0519, loss: 1.0367 2023-11-13 23:19:47,201 - mmdet - INFO - Epoch [5][4800/7330] lr: 9.525e-06, eta: 9:58:30, time: 0.668, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1379, s0.acc: 94.7808, s0.loss_bbox: 0.2279, s0.loss_mask: 0.2111, s1.loss_cls: 0.0682, s1.acc: 94.8293, s1.loss_bbox: 0.1079, s1.loss_mask: 0.1077, s2.loss_cls: 0.0353, s2.acc: 94.5116, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0510, loss: 1.0350 2023-11-13 23:20:20,659 - mmdet - INFO - Epoch [5][4850/7330] lr: 9.525e-06, eta: 9:57:57, time: 0.669, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1360, s0.acc: 94.8691, s0.loss_bbox: 0.2300, s0.loss_mask: 0.2118, s1.loss_cls: 0.0663, s1.acc: 94.9083, s1.loss_bbox: 0.1087, s1.loss_mask: 0.1071, s2.loss_cls: 0.0343, s2.acc: 94.6332, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0511, loss: 1.0343 2023-11-13 23:20:54,450 - mmdet - INFO - Epoch [5][4900/7330] lr: 9.525e-06, eta: 9:57:25, time: 0.676, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1375, s0.acc: 94.8794, s0.loss_bbox: 0.2298, s0.loss_mask: 0.2153, s1.loss_cls: 0.0671, s1.acc: 94.9084, s1.loss_bbox: 0.1074, s1.loss_mask: 0.1099, s2.loss_cls: 0.0343, s2.acc: 94.6683, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0526, loss: 1.0432 2023-11-13 23:21:30,511 - mmdet - INFO - Epoch [5][4950/7330] lr: 9.525e-06, eta: 9:56:56, time: 0.721, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1334, s0.acc: 94.9885, s0.loss_bbox: 0.2290, s0.loss_mask: 0.2163, s1.loss_cls: 0.0646, s1.acc: 95.0564, s1.loss_bbox: 0.1079, s1.loss_mask: 0.1094, s2.loss_cls: 0.0336, s2.acc: 94.8075, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0524, loss: 1.0356 2023-11-13 23:22:03,660 - mmdet - INFO - Epoch [5][5000/7330] lr: 9.525e-06, eta: 9:56:22, time: 0.663, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1292, s0.acc: 95.2627, s0.loss_bbox: 0.2169, s0.loss_mask: 0.2129, s1.loss_cls: 0.0629, s1.acc: 95.3520, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1075, s2.loss_cls: 0.0324, s2.acc: 95.1041, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0516, loss: 0.9997 2023-11-13 23:22:36,946 - mmdet - INFO - Epoch [5][5050/7330] lr: 9.525e-06, eta: 9:55:48, time: 0.666, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1369, s0.acc: 94.9062, s0.loss_bbox: 0.2225, s0.loss_mask: 0.2175, s1.loss_cls: 0.0659, s1.acc: 95.0006, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1107, s2.loss_cls: 0.0342, s2.acc: 94.7699, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0531, loss: 1.0326 2023-11-13 23:23:12,385 - mmdet - INFO - Epoch [5][5100/7330] lr: 9.525e-06, eta: 9:55:18, time: 0.709, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1322, s0.acc: 95.0557, s0.loss_bbox: 0.2165, s0.loss_mask: 0.2105, s1.loss_cls: 0.0640, s1.acc: 95.1278, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1077, s2.loss_cls: 0.0333, s2.acc: 94.8823, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0514, loss: 1.0047 2023-11-13 23:23:45,832 - mmdet - INFO - Epoch [5][5150/7330] lr: 9.525e-06, eta: 9:54:45, time: 0.669, data_time: 0.031, memory: 30140, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0241, s0.loss_cls: 0.1408, s0.acc: 94.7964, s0.loss_bbox: 0.2319, s0.loss_mask: 0.2164, s1.loss_cls: 0.0682, s1.acc: 94.8167, s1.loss_bbox: 0.1107, s1.loss_mask: 0.1108, s2.loss_cls: 0.0358, s2.acc: 94.4105, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0530, loss: 1.0604 2023-11-13 23:24:19,349 - mmdet - INFO - Epoch [5][5200/7330] lr: 9.525e-06, eta: 9:54:12, time: 0.670, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1413, s0.acc: 94.7751, s0.loss_bbox: 0.2303, s0.loss_mask: 0.2144, s1.loss_cls: 0.0692, s1.acc: 94.8161, s1.loss_bbox: 0.1074, s1.loss_mask: 0.1083, s2.loss_cls: 0.0357, s2.acc: 94.5793, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0515, loss: 1.0477 2023-11-13 23:24:52,884 - mmdet - INFO - Epoch [5][5250/7330] lr: 9.525e-06, eta: 9:53:39, time: 0.671, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1420, s0.acc: 94.6658, s0.loss_bbox: 0.2361, s0.loss_mask: 0.2143, s1.loss_cls: 0.0696, s1.acc: 94.5841, s1.loss_bbox: 0.1105, s1.loss_mask: 0.1097, s2.loss_cls: 0.0361, s2.acc: 94.2747, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0522, loss: 1.0609 2023-11-13 23:25:26,052 - mmdet - INFO - Epoch [5][5300/7330] lr: 9.525e-06, eta: 9:53:05, time: 0.663, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1334, s0.acc: 94.8657, s0.loss_bbox: 0.2293, s0.loss_mask: 0.2078, s1.loss_cls: 0.0659, s1.acc: 94.8462, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1057, s2.loss_cls: 0.0339, s2.acc: 94.5978, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0505, loss: 1.0215 2023-11-13 23:25:59,766 - mmdet - INFO - Epoch [5][5350/7330] lr: 9.525e-06, eta: 9:52:32, time: 0.674, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0259, s0.loss_cls: 0.1469, s0.acc: 94.5459, s0.loss_bbox: 0.2387, s0.loss_mask: 0.2134, s1.loss_cls: 0.0723, s1.acc: 94.5856, s1.loss_bbox: 0.1126, s1.loss_mask: 0.1077, s2.loss_cls: 0.0374, s2.acc: 94.2518, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0512, loss: 1.0750 2023-11-13 23:26:32,848 - mmdet - INFO - Epoch [5][5400/7330] lr: 9.525e-06, eta: 9:51:59, time: 0.662, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1384, s0.acc: 94.8293, s0.loss_bbox: 0.2282, s0.loss_mask: 0.2154, s1.loss_cls: 0.0679, s1.acc: 94.7952, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1092, s2.loss_cls: 0.0347, s2.acc: 94.5640, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0517, loss: 1.0400 2023-11-13 23:27:06,103 - mmdet - INFO - Epoch [5][5450/7330] lr: 9.525e-06, eta: 9:51:25, time: 0.665, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1401, s0.acc: 94.7708, s0.loss_bbox: 0.2317, s0.loss_mask: 0.2162, s1.loss_cls: 0.0691, s1.acc: 94.8068, s1.loss_bbox: 0.1099, s1.loss_mask: 0.1096, s2.loss_cls: 0.0357, s2.acc: 94.4396, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0522, loss: 1.0537 2023-11-13 23:27:41,103 - mmdet - INFO - Epoch [5][5500/7330] lr: 9.525e-06, eta: 9:50:54, time: 0.700, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1363, s0.acc: 94.8330, s0.loss_bbox: 0.2270, s0.loss_mask: 0.2120, s1.loss_cls: 0.0661, s1.acc: 94.9162, s1.loss_bbox: 0.1074, s1.loss_mask: 0.1079, s2.loss_cls: 0.0341, s2.acc: 94.6672, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0514, loss: 1.0289 2023-11-13 23:28:14,054 - mmdet - INFO - Epoch [5][5550/7330] lr: 9.525e-06, eta: 9:50:20, time: 0.659, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0237, s0.loss_cls: 0.1407, s0.acc: 94.6731, s0.loss_bbox: 0.2306, s0.loss_mask: 0.2132, s1.loss_cls: 0.0696, s1.acc: 94.6828, s1.loss_bbox: 0.1087, s1.loss_mask: 0.1079, s2.loss_cls: 0.0360, s2.acc: 94.4206, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0513, loss: 1.0493 2023-11-13 23:28:47,700 - mmdet - INFO - Epoch [5][5600/7330] lr: 9.525e-06, eta: 9:49:47, time: 0.673, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0239, s0.loss_cls: 0.1382, s0.acc: 94.8606, s0.loss_bbox: 0.2271, s0.loss_mask: 0.2132, s1.loss_cls: 0.0663, s1.acc: 94.9443, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1091, s2.loss_cls: 0.0344, s2.acc: 94.6392, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0520, loss: 1.0361 2023-11-13 23:29:20,799 - mmdet - INFO - Epoch [5][5650/7330] lr: 9.525e-06, eta: 9:49:14, time: 0.662, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1304, s0.acc: 95.1394, s0.loss_bbox: 0.2213, s0.loss_mask: 0.2117, s1.loss_cls: 0.0632, s1.acc: 95.1901, s1.loss_bbox: 0.1054, s1.loss_mask: 0.1084, s2.loss_cls: 0.0328, s2.acc: 94.8662, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0516, loss: 1.0087 2023-11-13 23:29:56,123 - mmdet - INFO - Epoch [5][5700/7330] lr: 9.525e-06, eta: 9:48:43, time: 0.707, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1358, s0.acc: 94.8997, s0.loss_bbox: 0.2208, s0.loss_mask: 0.2183, s1.loss_cls: 0.0667, s1.acc: 94.9240, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1104, s2.loss_cls: 0.0344, s2.acc: 94.6741, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0528, loss: 1.0305 2023-11-13 23:30:29,239 - mmdet - INFO - Epoch [5][5750/7330] lr: 9.525e-06, eta: 9:48:09, time: 0.662, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0253, s0.loss_cls: 0.1432, s0.acc: 94.6484, s0.loss_bbox: 0.2343, s0.loss_mask: 0.2162, s1.loss_cls: 0.0703, s1.acc: 94.6799, s1.loss_bbox: 0.1094, s1.loss_mask: 0.1081, s2.loss_cls: 0.0363, s2.acc: 94.3999, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0514, loss: 1.0611 2023-11-13 23:31:02,623 - mmdet - INFO - Epoch [5][5800/7330] lr: 9.525e-06, eta: 9:47:36, time: 0.668, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0237, s0.loss_cls: 0.1458, s0.acc: 94.5872, s0.loss_bbox: 0.2337, s0.loss_mask: 0.2187, s1.loss_cls: 0.0721, s1.acc: 94.5350, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1106, s2.loss_cls: 0.0374, s2.acc: 94.2172, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0525, loss: 1.0712 2023-11-13 23:31:35,673 - mmdet - INFO - Epoch [5][5850/7330] lr: 9.525e-06, eta: 9:47:02, time: 0.661, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1342, s0.acc: 94.9597, s0.loss_bbox: 0.2252, s0.loss_mask: 0.2153, s1.loss_cls: 0.0658, s1.acc: 95.0012, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1094, s2.loss_cls: 0.0346, s2.acc: 94.6465, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0520, loss: 1.0301 2023-11-13 23:32:08,543 - mmdet - INFO - Epoch [5][5900/7330] lr: 9.525e-06, eta: 9:46:28, time: 0.657, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1354, s0.acc: 94.9407, s0.loss_bbox: 0.2270, s0.loss_mask: 0.2138, s1.loss_cls: 0.0665, s1.acc: 94.9753, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1083, s2.loss_cls: 0.0339, s2.acc: 94.7638, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0517, loss: 1.0291 2023-11-13 23:32:41,835 - mmdet - INFO - Epoch [5][5950/7330] lr: 9.525e-06, eta: 9:45:55, time: 0.666, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1349, s0.acc: 94.9958, s0.loss_bbox: 0.2209, s0.loss_mask: 0.2149, s1.loss_cls: 0.0661, s1.acc: 95.0252, s1.loss_bbox: 0.1038, s1.loss_mask: 0.1084, s2.loss_cls: 0.0342, s2.acc: 94.7870, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0517, loss: 1.0197 2023-11-13 23:33:15,340 - mmdet - INFO - Epoch [5][6000/7330] lr: 9.525e-06, eta: 9:45:22, time: 0.670, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1398, s0.acc: 94.7312, s0.loss_bbox: 0.2283, s0.loss_mask: 0.2077, s1.loss_cls: 0.0680, s1.acc: 94.7753, s1.loss_bbox: 0.1074, s1.loss_mask: 0.1067, s2.loss_cls: 0.0354, s2.acc: 94.3973, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0513, loss: 1.0349 2023-11-13 23:33:48,994 - mmdet - INFO - Epoch [5][6050/7330] lr: 9.525e-06, eta: 9:44:49, time: 0.673, data_time: 0.030, memory: 30140, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0250, s0.loss_cls: 0.1498, s0.acc: 94.3845, s0.loss_bbox: 0.2438, s0.loss_mask: 0.2169, s1.loss_cls: 0.0729, s1.acc: 94.3504, s1.loss_bbox: 0.1126, s1.loss_mask: 0.1081, s2.loss_cls: 0.0378, s2.acc: 94.0917, s2.loss_bbox: 0.0468, s2.loss_mask: 0.0512, loss: 1.0856 2023-11-13 23:34:22,318 - mmdet - INFO - Epoch [5][6100/7330] lr: 9.525e-06, eta: 9:44:15, time: 0.666, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0242, s0.loss_cls: 0.1472, s0.acc: 94.4758, s0.loss_bbox: 0.2371, s0.loss_mask: 0.2139, s1.loss_cls: 0.0725, s1.acc: 94.4666, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1085, s2.loss_cls: 0.0375, s2.acc: 94.1874, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0517, loss: 1.0711 2023-11-13 23:34:55,428 - mmdet - INFO - Epoch [5][6150/7330] lr: 9.525e-06, eta: 9:43:42, time: 0.662, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1340, s0.acc: 94.9031, s0.loss_bbox: 0.2253, s0.loss_mask: 0.2075, s1.loss_cls: 0.0668, s1.acc: 94.8500, s1.loss_bbox: 0.1064, s1.loss_mask: 0.1061, s2.loss_cls: 0.0350, s2.acc: 94.5259, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0503, loss: 1.0171 2023-11-13 23:35:28,980 - mmdet - INFO - Epoch [5][6200/7330] lr: 9.525e-06, eta: 9:43:08, time: 0.671, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1369, s0.acc: 94.8699, s0.loss_bbox: 0.2235, s0.loss_mask: 0.2184, s1.loss_cls: 0.0676, s1.acc: 94.8130, s1.loss_bbox: 0.1057, s1.loss_mask: 0.1101, s2.loss_cls: 0.0354, s2.acc: 94.5822, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0527, loss: 1.0383 2023-11-13 23:36:02,346 - mmdet - INFO - Epoch [5][6250/7330] lr: 9.525e-06, eta: 9:42:35, time: 0.667, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0242, s0.loss_cls: 0.1435, s0.acc: 94.6252, s0.loss_bbox: 0.2338, s0.loss_mask: 0.2162, s1.loss_cls: 0.0710, s1.acc: 94.5943, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1091, s2.loss_cls: 0.0364, s2.acc: 94.3753, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0520, loss: 1.0625 2023-11-13 23:36:35,960 - mmdet - INFO - Epoch [5][6300/7330] lr: 9.525e-06, eta: 9:42:02, time: 0.672, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0251, s0.loss_cls: 0.1478, s0.acc: 94.5542, s0.loss_bbox: 0.2301, s0.loss_mask: 0.2141, s1.loss_cls: 0.0727, s1.acc: 94.5432, s1.loss_bbox: 0.1072, s1.loss_mask: 0.1086, s2.loss_cls: 0.0376, s2.acc: 94.2780, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0518, loss: 1.0612 2023-11-13 23:37:08,986 - mmdet - INFO - Epoch [5][6350/7330] lr: 9.525e-06, eta: 9:41:28, time: 0.661, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1262, s0.acc: 95.2886, s0.loss_bbox: 0.2160, s0.loss_mask: 0.2137, s1.loss_cls: 0.0617, s1.acc: 95.2680, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1094, s2.loss_cls: 0.0324, s2.acc: 94.9652, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0516, loss: 0.9972 2023-11-13 23:37:42,601 - mmdet - INFO - Epoch [5][6400/7330] lr: 9.525e-06, eta: 9:40:55, time: 0.672, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0251, s0.loss_cls: 0.1441, s0.acc: 94.5847, s0.loss_bbox: 0.2417, s0.loss_mask: 0.2184, s1.loss_cls: 0.0711, s1.acc: 94.5551, s1.loss_bbox: 0.1141, s1.loss_mask: 0.1109, s2.loss_cls: 0.0373, s2.acc: 94.1367, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0531, loss: 1.0837 2023-11-13 23:38:15,620 - mmdet - INFO - Epoch [5][6450/7330] lr: 9.525e-06, eta: 9:40:21, time: 0.660, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1367, s0.acc: 94.9802, s0.loss_bbox: 0.2221, s0.loss_mask: 0.2088, s1.loss_cls: 0.0660, s1.acc: 95.0909, s1.loss_bbox: 0.1059, s1.loss_mask: 0.1068, s2.loss_cls: 0.0346, s2.acc: 94.7168, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0506, loss: 1.0199 2023-11-13 23:38:48,718 - mmdet - INFO - Epoch [5][6500/7330] lr: 9.525e-06, eta: 9:39:48, time: 0.662, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1443, s0.acc: 94.6445, s0.loss_bbox: 0.2353, s0.loss_mask: 0.2188, s1.loss_cls: 0.0704, s1.acc: 94.6936, s1.loss_bbox: 0.1114, s1.loss_mask: 0.1118, s2.loss_cls: 0.0368, s2.acc: 94.2794, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0532, loss: 1.0724 2023-11-13 23:39:21,906 - mmdet - INFO - Epoch [5][6550/7330] lr: 9.525e-06, eta: 9:39:14, time: 0.664, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1336, s0.acc: 94.9517, s0.loss_bbox: 0.2198, s0.loss_mask: 0.2114, s1.loss_cls: 0.0659, s1.acc: 94.9923, s1.loss_bbox: 0.1059, s1.loss_mask: 0.1082, s2.loss_cls: 0.0344, s2.acc: 94.6339, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0514, loss: 1.0153 2023-11-13 23:39:55,232 - mmdet - INFO - Epoch [5][6600/7330] lr: 9.525e-06, eta: 9:38:41, time: 0.666, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1369, s0.acc: 94.8953, s0.loss_bbox: 0.2325, s0.loss_mask: 0.2163, s1.loss_cls: 0.0669, s1.acc: 95.0028, s1.loss_bbox: 0.1095, s1.loss_mask: 0.1102, s2.loss_cls: 0.0347, s2.acc: 94.6240, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0522, loss: 1.0483 2023-11-13 23:40:28,256 - mmdet - INFO - Epoch [5][6650/7330] lr: 9.525e-06, eta: 9:38:07, time: 0.661, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1432, s0.acc: 94.7673, s0.loss_bbox: 0.2317, s0.loss_mask: 0.2226, s1.loss_cls: 0.0695, s1.acc: 94.9222, s1.loss_bbox: 0.1074, s1.loss_mask: 0.1127, s2.loss_cls: 0.0360, s2.acc: 94.5807, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0538, loss: 1.0658 2023-11-13 23:41:01,397 - mmdet - INFO - Epoch [5][6700/7330] lr: 9.525e-06, eta: 9:37:33, time: 0.663, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1380, s0.acc: 94.8188, s0.loss_bbox: 0.2317, s0.loss_mask: 0.2143, s1.loss_cls: 0.0678, s1.acc: 94.8564, s1.loss_bbox: 0.1087, s1.loss_mask: 0.1098, s2.loss_cls: 0.0354, s2.acc: 94.5043, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0523, loss: 1.0472 2023-11-13 23:41:34,856 - mmdet - INFO - Epoch [5][6750/7330] lr: 9.525e-06, eta: 9:37:00, time: 0.669, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1447, s0.acc: 94.5627, s0.loss_bbox: 0.2363, s0.loss_mask: 0.2178, s1.loss_cls: 0.0707, s1.acc: 94.5990, s1.loss_bbox: 0.1124, s1.loss_mask: 0.1109, s2.loss_cls: 0.0368, s2.acc: 94.2250, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0529, loss: 1.0730 2023-11-13 23:42:08,002 - mmdet - INFO - Epoch [5][6800/7330] lr: 9.525e-06, eta: 9:36:26, time: 0.663, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1363, s0.acc: 94.9705, s0.loss_bbox: 0.2236, s0.loss_mask: 0.2127, s1.loss_cls: 0.0665, s1.acc: 94.9434, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1076, s2.loss_cls: 0.0347, s2.acc: 94.6866, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0511, loss: 1.0223 2023-11-13 23:42:41,058 - mmdet - INFO - Epoch [5][6850/7330] lr: 9.525e-06, eta: 9:35:52, time: 0.661, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1417, s0.acc: 94.6548, s0.loss_bbox: 0.2342, s0.loss_mask: 0.2133, s1.loss_cls: 0.0689, s1.acc: 94.7615, s1.loss_bbox: 0.1101, s1.loss_mask: 0.1080, s2.loss_cls: 0.0356, s2.acc: 94.5210, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0514, loss: 1.0539 2023-11-13 23:43:14,430 - mmdet - INFO - Epoch [5][6900/7330] lr: 9.525e-06, eta: 9:35:19, time: 0.667, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1302, s0.acc: 95.1138, s0.loss_bbox: 0.2115, s0.loss_mask: 0.2065, s1.loss_cls: 0.0630, s1.acc: 95.2221, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1061, s2.loss_cls: 0.0324, s2.acc: 94.9532, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0504, loss: 0.9842 2023-11-13 23:43:47,585 - mmdet - INFO - Epoch [5][6950/7330] lr: 9.525e-06, eta: 9:34:45, time: 0.663, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1347, s0.acc: 94.9451, s0.loss_bbox: 0.2204, s0.loss_mask: 0.2095, s1.loss_cls: 0.0661, s1.acc: 94.9863, s1.loss_bbox: 0.1051, s1.loss_mask: 0.1075, s2.loss_cls: 0.0345, s2.acc: 94.5866, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0515, loss: 1.0142 2023-11-13 23:44:20,966 - mmdet - INFO - Epoch [5][7000/7330] lr: 9.525e-06, eta: 9:34:12, time: 0.668, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1363, s0.acc: 94.8464, s0.loss_bbox: 0.2272, s0.loss_mask: 0.2133, s1.loss_cls: 0.0666, s1.acc: 94.8875, s1.loss_bbox: 0.1057, s1.loss_mask: 0.1080, s2.loss_cls: 0.0344, s2.acc: 94.6297, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0513, loss: 1.0288 2023-11-13 23:44:54,124 - mmdet - INFO - Epoch [5][7050/7330] lr: 9.525e-06, eta: 9:33:39, time: 0.663, data_time: 0.031, memory: 30140, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0237, s0.loss_cls: 0.1387, s0.acc: 94.8789, s0.loss_bbox: 0.2301, s0.loss_mask: 0.2175, s1.loss_cls: 0.0671, s1.acc: 94.9793, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1106, s2.loss_cls: 0.0349, s2.acc: 94.6522, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0527, loss: 1.0506 2023-11-13 23:45:27,352 - mmdet - INFO - Epoch [5][7100/7330] lr: 9.525e-06, eta: 9:33:05, time: 0.665, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1376, s0.acc: 94.8701, s0.loss_bbox: 0.2246, s0.loss_mask: 0.2156, s1.loss_cls: 0.0673, s1.acc: 94.8563, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1100, s2.loss_cls: 0.0352, s2.acc: 94.5193, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0523, loss: 1.0356 2023-11-13 23:46:00,618 - mmdet - INFO - Epoch [5][7150/7330] lr: 9.525e-06, eta: 9:32:31, time: 0.665, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1317, s0.acc: 95.2002, s0.loss_bbox: 0.2175, s0.loss_mask: 0.2091, s1.loss_cls: 0.0636, s1.acc: 95.2330, s1.loss_bbox: 0.1039, s1.loss_mask: 0.1078, s2.loss_cls: 0.0331, s2.acc: 94.9193, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0515, loss: 1.0029 2023-11-13 23:46:34,045 - mmdet - INFO - Epoch [5][7200/7330] lr: 9.525e-06, eta: 9:31:58, time: 0.669, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0249, s0.loss_cls: 0.1445, s0.acc: 94.6284, s0.loss_bbox: 0.2340, s0.loss_mask: 0.2161, s1.loss_cls: 0.0708, s1.acc: 94.6702, s1.loss_bbox: 0.1092, s1.loss_mask: 0.1094, s2.loss_cls: 0.0371, s2.acc: 94.2998, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0519, loss: 1.0652 2023-11-13 23:47:06,885 - mmdet - INFO - Epoch [5][7250/7330] lr: 9.525e-06, eta: 9:31:24, time: 0.657, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1401, s0.acc: 94.8413, s0.loss_bbox: 0.2307, s0.loss_mask: 0.2171, s1.loss_cls: 0.0691, s1.acc: 94.8209, s1.loss_bbox: 0.1089, s1.loss_mask: 0.1101, s2.loss_cls: 0.0357, s2.acc: 94.5756, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0526, loss: 1.0519 2023-11-13 23:47:40,097 - mmdet - INFO - Epoch [5][7300/7330] lr: 9.525e-06, eta: 9:30:51, time: 0.664, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1361, s0.acc: 95.0247, s0.loss_bbox: 0.2230, s0.loss_mask: 0.2085, s1.loss_cls: 0.0667, s1.acc: 95.0196, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1061, s2.loss_cls: 0.0336, s2.acc: 94.8621, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0502, loss: 1.0154 2023-11-13 23:48:00,699 - mmdet - INFO - Saving checkpoint at 5 epochs 2023-11-13 23:49:26,357 - mmdet - INFO - Evaluating bbox... 2023-11-13 23:49:54,865 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.534 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.726 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.584 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.361 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.585 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.695 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.656 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.656 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.656 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.483 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.704 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.810 2023-11-13 23:49:54,868 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.628 | bicycle | 0.408 | car | 0.533 | | motorcycle | 0.520 | airplane | 0.750 | bus | 0.731 | | train | 0.738 | truck | 0.453 | boat | 0.391 | | traffic light | 0.338 | fire hydrant | 0.764 | stop sign | 0.742 | | parking meter | 0.526 | bench | 0.367 | bird | 0.470 | | cat | 0.820 | dog | 0.738 | horse | 0.670 | | sheep | 0.606 | cow | 0.655 | elephant | 0.763 | | bear | 0.777 | zebra | 0.754 | giraffe | 0.750 | | backpack | 0.253 | umbrella | 0.524 | handbag | 0.273 | | tie | 0.451 | suitcase | 0.538 | frisbee | 0.750 | | skis | 0.345 | snowboard | 0.510 | sports ball | 0.518 | | kite | 0.512 | baseball bat | 0.510 | baseball glove | 0.487 | | skateboard | 0.638 | surfboard | 0.538 | tennis racket | 0.622 | | bottle | 0.503 | wine glass | 0.470 | cup | 0.550 | | fork | 0.510 | knife | 0.353 | spoon | 0.340 | | bowl | 0.533 | banana | 0.335 | apple | 0.312 | | sandwich | 0.515 | orange | 0.387 | broccoli | 0.300 | | carrot | 0.303 | hot dog | 0.558 | pizza | 0.609 | | donut | 0.629 | cake | 0.512 | chair | 0.409 | | couch | 0.549 | potted plant | 0.398 | bed | 0.538 | | dining table | 0.347 | toilet | 0.703 | tv | 0.676 | | laptop | 0.750 | mouse | 0.684 | remote | 0.502 | | keyboard | 0.606 | cell phone | 0.520 | microwave | 0.702 | | oven | 0.443 | toaster | 0.485 | sink | 0.486 | | refrigerator | 0.734 | book | 0.232 | clock | 0.555 | | vase | 0.459 | scissors | 0.519 | teddy bear | 0.627 | | hair drier | 0.267 | toothbrush | 0.472 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 23:49:54,868 - mmdet - INFO - Evaluating segm... 2023-11-13 23:50:25,323 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.464 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.699 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.505 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.270 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.501 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.657 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.576 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.576 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.576 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.409 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.618 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.736 2023-11-13 23:50:25,326 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.530 | bicycle | 0.230 | car | 0.480 | | motorcycle | 0.413 | airplane | 0.560 | bus | 0.704 | | train | 0.709 | truck | 0.426 | boat | 0.342 | | traffic light | 0.321 | fire hydrant | 0.718 | stop sign | 0.696 | | parking meter | 0.514 | bench | 0.271 | bird | 0.375 | | cat | 0.765 | dog | 0.663 | horse | 0.491 | | sheep | 0.530 | cow | 0.544 | elephant | 0.677 | | bear | 0.752 | zebra | 0.641 | giraffe | 0.572 | | backpack | 0.255 | umbrella | 0.551 | handbag | 0.252 | | tie | 0.411 | suitcase | 0.553 | frisbee | 0.697 | | skis | 0.050 | snowboard | 0.315 | sports ball | 0.496 | | kite | 0.347 | baseball bat | 0.350 | baseball glove | 0.504 | | skateboard | 0.414 | surfboard | 0.424 | tennis racket | 0.627 | | bottle | 0.468 | wine glass | 0.410 | cup | 0.532 | | fork | 0.265 | knife | 0.240 | spoon | 0.231 | | bowl | 0.491 | banana | 0.276 | apple | 0.298 | | sandwich | 0.520 | orange | 0.382 | broccoli | 0.275 | | carrot | 0.258 | hot dog | 0.439 | pizza | 0.577 | | donut | 0.614 | cake | 0.501 | chair | 0.284 | | couch | 0.451 | potted plant | 0.319 | bed | 0.409 | | dining table | 0.182 | toilet | 0.659 | tv | 0.681 | | laptop | 0.709 | mouse | 0.670 | remote | 0.429 | | keyboard | 0.584 | cell phone | 0.485 | microwave | 0.678 | | oven | 0.392 | toaster | 0.556 | sink | 0.440 | | refrigerator | 0.703 | book | 0.178 | clock | 0.554 | | vase | 0.436 | scissors | 0.353 | teddy bear | 0.584 | | hair drier | 0.170 | toothbrush | 0.294 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-13 23:50:25,809 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco/best_bbox_mAP_epoch_4.pth was removed 2023-11-13 23:50:33,826 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_5.pth. 2023-11-13 23:50:33,827 - mmdet - INFO - Best bbox_mAP is 0.5342 at 5 epoch. 2023-11-13 23:50:33,827 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 23:50:33,827 - mmdet - INFO - Epoch(val) [5][625] bbox_mAP: 0.5342, bbox_mAP_50: 0.7264, bbox_mAP_75: 0.5837, bbox_mAP_s: 0.3612, bbox_mAP_m: 0.5852, bbox_mAP_l: 0.6950, bbox_mAP_copypaste: 0.5342 0.7264 0.5837 0.3612 0.5852 0.6950, segm_mAP: 0.4643, segm_mAP_50: 0.6992, segm_mAP_75: 0.5052, segm_mAP_s: 0.2704, segm_mAP_m: 0.5012, segm_mAP_l: 0.6573, segm_mAP_copypaste: 0.4643 0.6992 0.5052 0.2704 0.5012 0.6573 2023-11-13 23:51:10,908 - mmdet - INFO - Epoch [6][50/7330] lr: 9.525e-06, eta: 9:29:34, time: 0.741, data_time: 0.095, memory: 30140, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1331, s0.acc: 94.9355, s0.loss_bbox: 0.2293, s0.loss_mask: 0.2149, s1.loss_cls: 0.0655, s1.acc: 95.0034, s1.loss_bbox: 0.1078, s1.loss_mask: 0.1090, s2.loss_cls: 0.0344, s2.acc: 94.7279, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0517, loss: 1.0318 2023-11-13 23:51:44,656 - mmdet - INFO - Epoch [6][100/7330] lr: 9.525e-06, eta: 9:29:02, time: 0.675, data_time: 0.027, memory: 30140, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1265, s0.acc: 95.1917, s0.loss_bbox: 0.2159, s0.loss_mask: 0.2061, s1.loss_cls: 0.0615, s1.acc: 95.2829, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1048, s2.loss_cls: 0.0318, s2.acc: 95.1124, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0503, loss: 0.9824 2023-11-13 23:52:17,896 - mmdet - INFO - Epoch [6][150/7330] lr: 9.525e-06, eta: 9:28:28, time: 0.665, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1296, s0.acc: 95.0813, s0.loss_bbox: 0.2218, s0.loss_mask: 0.2102, s1.loss_cls: 0.0630, s1.acc: 95.2301, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1076, s2.loss_cls: 0.0326, s2.acc: 94.9650, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0516, loss: 1.0079 2023-11-13 23:52:51,251 - mmdet - INFO - Epoch [6][200/7330] lr: 9.525e-06, eta: 9:27:55, time: 0.667, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1283, s0.acc: 95.1052, s0.loss_bbox: 0.2243, s0.loss_mask: 0.2096, s1.loss_cls: 0.0621, s1.acc: 95.2580, s1.loss_bbox: 0.1062, s1.loss_mask: 0.1071, s2.loss_cls: 0.0322, s2.acc: 94.9567, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0512, loss: 1.0074 2023-11-13 23:53:24,168 - mmdet - INFO - Epoch [6][250/7330] lr: 9.525e-06, eta: 9:27:21, time: 0.658, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1242, s0.acc: 95.3198, s0.loss_bbox: 0.2124, s0.loss_mask: 0.2027, s1.loss_cls: 0.0605, s1.acc: 95.4257, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1035, s2.loss_cls: 0.0315, s2.acc: 95.1163, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0498, loss: 0.9705 2023-11-13 23:53:58,006 - mmdet - INFO - Epoch [6][300/7330] lr: 9.525e-06, eta: 9:26:48, time: 0.677, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1336, s0.acc: 95.0327, s0.loss_bbox: 0.2269, s0.loss_mask: 0.2128, s1.loss_cls: 0.0647, s1.acc: 95.1102, s1.loss_bbox: 0.1077, s1.loss_mask: 0.1090, s2.loss_cls: 0.0335, s2.acc: 94.8392, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0517, loss: 1.0266 2023-11-13 23:54:31,246 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-13 23:54:31,246 - mmdet - INFO - Epoch [6][350/7330] lr: 9.525e-06, eta: 9:26:15, time: 0.665, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1313, s0.acc: 95.1392, s0.loss_bbox: 0.2170, s0.loss_mask: 0.2080, s1.loss_cls: 0.0631, s1.acc: 95.2583, s1.loss_bbox: 0.1023, s1.loss_mask: 0.1069, s2.loss_cls: 0.0326, s2.acc: 94.9861, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0512, loss: 0.9973 2023-11-13 23:55:04,143 - mmdet - INFO - Epoch [6][400/7330] lr: 9.525e-06, eta: 9:25:41, time: 0.658, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1285, s0.acc: 95.2163, s0.loss_bbox: 0.2216, s0.loss_mask: 0.2134, s1.loss_cls: 0.0632, s1.acc: 95.2264, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1090, s2.loss_cls: 0.0328, s2.acc: 95.0162, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0523, loss: 1.0105 2023-11-13 23:55:37,792 - mmdet - INFO - Epoch [6][450/7330] lr: 9.525e-06, eta: 9:25:08, time: 0.673, data_time: 0.018, memory: 30140, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1295, s0.acc: 95.1877, s0.loss_bbox: 0.2214, s0.loss_mask: 0.2102, s1.loss_cls: 0.0618, s1.acc: 95.2840, s1.loss_bbox: 0.1054, s1.loss_mask: 0.1071, s2.loss_cls: 0.0323, s2.acc: 94.9703, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0515, loss: 1.0061 2023-11-13 23:56:11,170 - mmdet - INFO - Epoch [6][500/7330] lr: 9.525e-06, eta: 9:24:35, time: 0.668, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1399, s0.acc: 94.6472, s0.loss_bbox: 0.2335, s0.loss_mask: 0.2130, s1.loss_cls: 0.0681, s1.acc: 94.7010, s1.loss_bbox: 0.1092, s1.loss_mask: 0.1086, s2.loss_cls: 0.0350, s2.acc: 94.4714, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0517, loss: 1.0481 2023-11-13 23:56:44,509 - mmdet - INFO - Epoch [6][550/7330] lr: 9.525e-06, eta: 9:24:01, time: 0.667, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1243, s0.acc: 95.2568, s0.loss_bbox: 0.2174, s0.loss_mask: 0.2098, s1.loss_cls: 0.0597, s1.acc: 95.4275, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1079, s2.loss_cls: 0.0306, s2.acc: 95.1758, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0513, loss: 0.9882 2023-11-13 23:57:19,839 - mmdet - INFO - Epoch [6][600/7330] lr: 9.525e-06, eta: 9:23:31, time: 0.707, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1386, s0.acc: 94.8203, s0.loss_bbox: 0.2347, s0.loss_mask: 0.2137, s1.loss_cls: 0.0665, s1.acc: 94.9663, s1.loss_bbox: 0.1110, s1.loss_mask: 0.1097, s2.loss_cls: 0.0345, s2.acc: 94.6939, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0525, loss: 1.0497 2023-11-13 23:57:53,449 - mmdet - INFO - Epoch [6][650/7330] lr: 9.525e-06, eta: 9:22:58, time: 0.672, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1407, s0.acc: 94.6133, s0.loss_bbox: 0.2393, s0.loss_mask: 0.2145, s1.loss_cls: 0.0700, s1.acc: 94.4905, s1.loss_bbox: 0.1118, s1.loss_mask: 0.1086, s2.loss_cls: 0.0366, s2.acc: 94.1413, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0515, loss: 1.0629 2023-11-13 23:58:26,823 - mmdet - INFO - Epoch [6][700/7330] lr: 9.525e-06, eta: 9:22:25, time: 0.667, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1236, s0.acc: 95.2839, s0.loss_bbox: 0.2177, s0.loss_mask: 0.2098, s1.loss_cls: 0.0599, s1.acc: 95.3537, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1075, s2.loss_cls: 0.0310, s2.acc: 95.1012, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0511, loss: 0.9875 2023-11-13 23:58:59,732 - mmdet - INFO - Epoch [6][750/7330] lr: 9.525e-06, eta: 9:21:51, time: 0.658, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1219, s0.acc: 95.4041, s0.loss_bbox: 0.2115, s0.loss_mask: 0.2033, s1.loss_cls: 0.0591, s1.acc: 95.4840, s1.loss_bbox: 0.1013, s1.loss_mask: 0.1044, s2.loss_cls: 0.0308, s2.acc: 95.2502, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0504, loss: 0.9646 2023-11-13 23:59:32,955 - mmdet - INFO - Epoch [6][800/7330] lr: 9.525e-06, eta: 9:21:17, time: 0.664, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1332, s0.acc: 94.9556, s0.loss_bbox: 0.2277, s0.loss_mask: 0.2101, s1.loss_cls: 0.0650, s1.acc: 95.0831, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1067, s2.loss_cls: 0.0336, s2.acc: 94.7593, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0508, loss: 1.0207 2023-11-14 00:00:06,212 - mmdet - INFO - Epoch [6][850/7330] lr: 9.525e-06, eta: 9:20:44, time: 0.665, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1308, s0.acc: 95.1311, s0.loss_bbox: 0.2243, s0.loss_mask: 0.2092, s1.loss_cls: 0.0634, s1.acc: 95.1608, s1.loss_bbox: 0.1054, s1.loss_mask: 0.1052, s2.loss_cls: 0.0330, s2.acc: 94.8539, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0504, loss: 1.0065 2023-11-14 00:00:39,065 - mmdet - INFO - Epoch [6][900/7330] lr: 9.525e-06, eta: 9:20:10, time: 0.657, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1284, s0.acc: 95.1973, s0.loss_bbox: 0.2228, s0.loss_mask: 0.2122, s1.loss_cls: 0.0623, s1.acc: 95.2209, s1.loss_bbox: 0.1057, s1.loss_mask: 0.1082, s2.loss_cls: 0.0326, s2.acc: 94.8989, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0517, loss: 1.0105 2023-11-14 00:01:12,140 - mmdet - INFO - Epoch [6][950/7330] lr: 9.525e-06, eta: 9:19:36, time: 0.662, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1274, s0.acc: 95.2820, s0.loss_bbox: 0.2197, s0.loss_mask: 0.2051, s1.loss_cls: 0.0609, s1.acc: 95.4124, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1044, s2.loss_cls: 0.0315, s2.acc: 95.1796, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0498, loss: 0.9840 2023-11-14 00:01:45,672 - mmdet - INFO - Epoch [6][1000/7330] lr: 9.525e-06, eta: 9:19:03, time: 0.671, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1297, s0.acc: 95.1150, s0.loss_bbox: 0.2268, s0.loss_mask: 0.2145, s1.loss_cls: 0.0624, s1.acc: 95.2004, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1081, s2.loss_cls: 0.0321, s2.acc: 95.0438, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0515, loss: 1.0167 2023-11-14 00:02:18,971 - mmdet - INFO - Epoch [6][1050/7330] lr: 9.525e-06, eta: 9:18:30, time: 0.666, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1340, s0.acc: 94.9641, s0.loss_bbox: 0.2290, s0.loss_mask: 0.2152, s1.loss_cls: 0.0643, s1.acc: 95.0926, s1.loss_bbox: 0.1079, s1.loss_mask: 0.1099, s2.loss_cls: 0.0332, s2.acc: 94.8020, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0528, loss: 1.0337 2023-11-14 00:02:52,629 - mmdet - INFO - Epoch [6][1100/7330] lr: 9.525e-06, eta: 9:17:57, time: 0.673, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1279, s0.acc: 95.1387, s0.loss_bbox: 0.2252, s0.loss_mask: 0.2089, s1.loss_cls: 0.0613, s1.acc: 95.2186, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1069, s2.loss_cls: 0.0318, s2.acc: 94.9646, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0509, loss: 1.0035 2023-11-14 00:03:25,846 - mmdet - INFO - Epoch [6][1150/7330] lr: 9.525e-06, eta: 9:17:23, time: 0.664, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1284, s0.acc: 95.2444, s0.loss_bbox: 0.2174, s0.loss_mask: 0.2127, s1.loss_cls: 0.0629, s1.acc: 95.2757, s1.loss_bbox: 0.1032, s1.loss_mask: 0.1078, s2.loss_cls: 0.0324, s2.acc: 95.0052, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0516, loss: 1.0022 2023-11-14 00:03:58,880 - mmdet - INFO - Epoch [6][1200/7330] lr: 9.525e-06, eta: 9:16:49, time: 0.661, data_time: 0.019, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1263, s0.acc: 95.2454, s0.loss_bbox: 0.2157, s0.loss_mask: 0.2103, s1.loss_cls: 0.0615, s1.acc: 95.3345, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1074, s2.loss_cls: 0.0320, s2.acc: 95.1457, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0510, loss: 0.9905 2023-11-14 00:04:32,525 - mmdet - INFO - Epoch [6][1250/7330] lr: 9.525e-06, eta: 9:16:16, time: 0.673, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1335, s0.acc: 95.1011, s0.loss_bbox: 0.2199, s0.loss_mask: 0.2063, s1.loss_cls: 0.0647, s1.acc: 95.1686, s1.loss_bbox: 0.1030, s1.loss_mask: 0.1058, s2.loss_cls: 0.0333, s2.acc: 94.8574, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0507, loss: 1.0008 2023-11-14 00:05:05,603 - mmdet - INFO - Epoch [6][1300/7330] lr: 9.525e-06, eta: 9:15:43, time: 0.661, data_time: 0.019, memory: 30140, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1303, s0.acc: 95.1064, s0.loss_bbox: 0.2184, s0.loss_mask: 0.2069, s1.loss_cls: 0.0620, s1.acc: 95.2506, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1061, s2.loss_cls: 0.0320, s2.acc: 95.0809, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0509, loss: 0.9966 2023-11-14 00:05:38,834 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 00:05:38,834 - mmdet - INFO - Epoch [6][1350/7330] lr: 9.525e-06, eta: 9:15:09, time: 0.665, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1365, s0.acc: 94.8704, s0.loss_bbox: 0.2279, s0.loss_mask: 0.2107, s1.loss_cls: 0.0661, s1.acc: 94.9612, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1067, s2.loss_cls: 0.0338, s2.acc: 94.7372, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0506, loss: 1.0279 2023-11-14 00:06:12,032 - mmdet - INFO - Epoch [6][1400/7330] lr: 9.525e-06, eta: 9:14:36, time: 0.664, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1308, s0.acc: 95.1501, s0.loss_bbox: 0.2220, s0.loss_mask: 0.2080, s1.loss_cls: 0.0631, s1.acc: 95.2375, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1068, s2.loss_cls: 0.0325, s2.acc: 95.0049, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0508, loss: 1.0045 2023-11-14 00:06:45,276 - mmdet - INFO - Epoch [6][1450/7330] lr: 9.525e-06, eta: 9:14:02, time: 0.665, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1294, s0.acc: 95.1389, s0.loss_bbox: 0.2217, s0.loss_mask: 0.2058, s1.loss_cls: 0.0626, s1.acc: 95.2446, s1.loss_bbox: 0.1040, s1.loss_mask: 0.1051, s2.loss_cls: 0.0328, s2.acc: 94.8651, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0500, loss: 0.9942 2023-11-14 00:07:18,489 - mmdet - INFO - Epoch [6][1500/7330] lr: 9.525e-06, eta: 9:13:29, time: 0.664, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1324, s0.acc: 94.9636, s0.loss_bbox: 0.2224, s0.loss_mask: 0.2082, s1.loss_cls: 0.0642, s1.acc: 95.0109, s1.loss_bbox: 0.1057, s1.loss_mask: 0.1063, s2.loss_cls: 0.0335, s2.acc: 94.6805, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0507, loss: 1.0106 2023-11-14 00:07:51,602 - mmdet - INFO - Epoch [6][1550/7330] lr: 9.525e-06, eta: 9:12:55, time: 0.662, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1251, s0.acc: 95.2251, s0.loss_bbox: 0.2189, s0.loss_mask: 0.2082, s1.loss_cls: 0.0608, s1.acc: 95.2930, s1.loss_bbox: 0.1038, s1.loss_mask: 0.1072, s2.loss_cls: 0.0313, s2.acc: 95.0630, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0512, loss: 0.9884 2023-11-14 00:08:24,486 - mmdet - INFO - Epoch [6][1600/7330] lr: 9.525e-06, eta: 9:12:21, time: 0.658, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1300, s0.acc: 95.1445, s0.loss_bbox: 0.2157, s0.loss_mask: 0.2086, s1.loss_cls: 0.0640, s1.acc: 95.1467, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1070, s2.loss_cls: 0.0335, s2.acc: 94.8890, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0511, loss: 0.9942 2023-11-14 00:08:57,547 - mmdet - INFO - Epoch [6][1650/7330] lr: 9.525e-06, eta: 9:11:48, time: 0.661, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1331, s0.acc: 94.9927, s0.loss_bbox: 0.2249, s0.loss_mask: 0.2093, s1.loss_cls: 0.0644, s1.acc: 95.1418, s1.loss_bbox: 0.1072, s1.loss_mask: 0.1079, s2.loss_cls: 0.0339, s2.acc: 94.7248, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0518, loss: 1.0194 2023-11-14 00:09:30,778 - mmdet - INFO - Epoch [6][1700/7330] lr: 9.525e-06, eta: 9:11:14, time: 0.665, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0239, s0.loss_cls: 0.1326, s0.acc: 95.0955, s0.loss_bbox: 0.2270, s0.loss_mask: 0.2078, s1.loss_cls: 0.0638, s1.acc: 95.2363, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1068, s2.loss_cls: 0.0337, s2.acc: 94.8893, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0508, loss: 1.0185 2023-11-14 00:10:03,690 - mmdet - INFO - Epoch [6][1750/7330] lr: 9.525e-06, eta: 9:10:40, time: 0.658, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1359, s0.acc: 95.0281, s0.loss_bbox: 0.2207, s0.loss_mask: 0.2068, s1.loss_cls: 0.0653, s1.acc: 95.1260, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1051, s2.loss_cls: 0.0335, s2.acc: 94.9093, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0501, loss: 1.0065 2023-11-14 00:10:37,261 - mmdet - INFO - Epoch [6][1800/7330] lr: 9.525e-06, eta: 9:10:07, time: 0.671, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1309, s0.acc: 95.0718, s0.loss_bbox: 0.2207, s0.loss_mask: 0.2097, s1.loss_cls: 0.0637, s1.acc: 95.0997, s1.loss_bbox: 0.1047, s1.loss_mask: 0.1076, s2.loss_cls: 0.0331, s2.acc: 94.7781, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0513, loss: 1.0074 2023-11-14 00:11:10,467 - mmdet - INFO - Epoch [6][1850/7330] lr: 9.525e-06, eta: 9:09:34, time: 0.664, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1336, s0.acc: 94.9531, s0.loss_bbox: 0.2289, s0.loss_mask: 0.2065, s1.loss_cls: 0.0638, s1.acc: 95.1558, s1.loss_bbox: 0.1087, s1.loss_mask: 0.1063, s2.loss_cls: 0.0333, s2.acc: 94.8230, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0510, loss: 1.0190 2023-11-14 00:11:43,793 - mmdet - INFO - Epoch [6][1900/7330] lr: 9.525e-06, eta: 9:09:00, time: 0.666, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1285, s0.acc: 95.1992, s0.loss_bbox: 0.2193, s0.loss_mask: 0.2099, s1.loss_cls: 0.0602, s1.acc: 95.3834, s1.loss_bbox: 0.1038, s1.loss_mask: 0.1071, s2.loss_cls: 0.0309, s2.acc: 95.1675, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0513, loss: 0.9962 2023-11-14 00:12:16,668 - mmdet - INFO - Epoch [6][1950/7330] lr: 9.525e-06, eta: 9:08:26, time: 0.658, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1266, s0.acc: 95.2749, s0.loss_bbox: 0.2191, s0.loss_mask: 0.2114, s1.loss_cls: 0.0611, s1.acc: 95.3554, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1079, s2.loss_cls: 0.0318, s2.acc: 95.0758, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0512, loss: 0.9942 2023-11-14 00:12:49,798 - mmdet - INFO - Epoch [6][2000/7330] lr: 9.525e-06, eta: 9:07:53, time: 0.663, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1281, s0.acc: 95.1594, s0.loss_bbox: 0.2218, s0.loss_mask: 0.2140, s1.loss_cls: 0.0630, s1.acc: 95.1824, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1098, s2.loss_cls: 0.0331, s2.acc: 94.7362, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0520, loss: 1.0107 2023-11-14 00:13:22,963 - mmdet - INFO - Epoch [6][2050/7330] lr: 9.525e-06, eta: 9:07:19, time: 0.663, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1285, s0.acc: 95.2126, s0.loss_bbox: 0.2236, s0.loss_mask: 0.2049, s1.loss_cls: 0.0618, s1.acc: 95.3680, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1047, s2.loss_cls: 0.0323, s2.acc: 95.0859, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0500, loss: 0.9971 2023-11-14 00:13:56,032 - mmdet - INFO - Epoch [6][2100/7330] lr: 9.525e-06, eta: 9:06:46, time: 0.661, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1292, s0.acc: 95.0935, s0.loss_bbox: 0.2233, s0.loss_mask: 0.2107, s1.loss_cls: 0.0624, s1.acc: 95.1398, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1071, s2.loss_cls: 0.0323, s2.acc: 94.7599, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0513, loss: 1.0075 2023-11-14 00:14:29,066 - mmdet - INFO - Epoch [6][2150/7330] lr: 9.525e-06, eta: 9:06:12, time: 0.661, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1303, s0.acc: 95.0935, s0.loss_bbox: 0.2225, s0.loss_mask: 0.2118, s1.loss_cls: 0.0633, s1.acc: 95.1520, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1067, s2.loss_cls: 0.0323, s2.acc: 94.8902, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0509, loss: 1.0057 2023-11-14 00:15:02,417 - mmdet - INFO - Epoch [6][2200/7330] lr: 9.525e-06, eta: 9:05:39, time: 0.667, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1235, s0.acc: 95.3713, s0.loss_bbox: 0.2180, s0.loss_mask: 0.2076, s1.loss_cls: 0.0597, s1.acc: 95.4081, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1065, s2.loss_cls: 0.0311, s2.acc: 95.0755, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0512, loss: 0.9839 2023-11-14 00:15:35,554 - mmdet - INFO - Epoch [6][2250/7330] lr: 9.525e-06, eta: 9:05:05, time: 0.663, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1245, s0.acc: 95.3157, s0.loss_bbox: 0.2164, s0.loss_mask: 0.2079, s1.loss_cls: 0.0598, s1.acc: 95.4384, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1061, s2.loss_cls: 0.0312, s2.acc: 95.0857, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0508, loss: 0.9815 2023-11-14 00:16:08,722 - mmdet - INFO - Epoch [6][2300/7330] lr: 9.525e-06, eta: 9:04:31, time: 0.663, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1336, s0.acc: 95.0854, s0.loss_bbox: 0.2293, s0.loss_mask: 0.2110, s1.loss_cls: 0.0636, s1.acc: 95.1882, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1079, s2.loss_cls: 0.0328, s2.acc: 94.9536, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0515, loss: 1.0248 2023-11-14 00:16:42,194 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 00:16:42,194 - mmdet - INFO - Epoch [6][2350/7330] lr: 9.525e-06, eta: 9:03:58, time: 0.669, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1252, s0.acc: 95.2690, s0.loss_bbox: 0.2172, s0.loss_mask: 0.2066, s1.loss_cls: 0.0610, s1.acc: 95.3322, s1.loss_bbox: 0.1023, s1.loss_mask: 0.1054, s2.loss_cls: 0.0320, s2.acc: 94.9568, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0506, loss: 0.9849 2023-11-14 00:17:15,092 - mmdet - INFO - Epoch [6][2400/7330] lr: 9.525e-06, eta: 9:03:24, time: 0.658, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1275, s0.acc: 95.2563, s0.loss_bbox: 0.2123, s0.loss_mask: 0.2133, s1.loss_cls: 0.0623, s1.acc: 95.3326, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1085, s2.loss_cls: 0.0324, s2.acc: 95.0060, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0519, loss: 0.9912 2023-11-14 00:17:48,573 - mmdet - INFO - Epoch [6][2450/7330] lr: 9.525e-06, eta: 9:02:51, time: 0.670, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1314, s0.acc: 95.0537, s0.loss_bbox: 0.2249, s0.loss_mask: 0.2110, s1.loss_cls: 0.0646, s1.acc: 95.0411, s1.loss_bbox: 0.1062, s1.loss_mask: 0.1081, s2.loss_cls: 0.0337, s2.acc: 94.7334, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0518, loss: 1.0176 2023-11-14 00:18:22,003 - mmdet - INFO - Epoch [6][2500/7330] lr: 9.525e-06, eta: 9:02:18, time: 0.669, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1292, s0.acc: 95.1392, s0.loss_bbox: 0.2159, s0.loss_mask: 0.2063, s1.loss_cls: 0.0621, s1.acc: 95.2132, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1049, s2.loss_cls: 0.0319, s2.acc: 94.9624, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0501, loss: 0.9872 2023-11-14 00:18:54,972 - mmdet - INFO - Epoch [6][2550/7330] lr: 9.525e-06, eta: 9:01:44, time: 0.659, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1373, s0.acc: 94.8181, s0.loss_bbox: 0.2279, s0.loss_mask: 0.2122, s1.loss_cls: 0.0671, s1.acc: 94.8137, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1072, s2.loss_cls: 0.0345, s2.acc: 94.6305, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0511, loss: 1.0301 2023-11-14 00:19:28,612 - mmdet - INFO - Epoch [6][2600/7330] lr: 9.525e-06, eta: 9:01:11, time: 0.673, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1275, s0.acc: 95.2290, s0.loss_bbox: 0.2189, s0.loss_mask: 0.2126, s1.loss_cls: 0.0628, s1.acc: 95.2351, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1078, s2.loss_cls: 0.0328, s2.acc: 94.8752, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0509, loss: 1.0016 2023-11-14 00:20:01,976 - mmdet - INFO - Epoch [6][2650/7330] lr: 9.525e-06, eta: 9:00:38, time: 0.667, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1355, s0.acc: 94.8782, s0.loss_bbox: 0.2249, s0.loss_mask: 0.2099, s1.loss_cls: 0.0657, s1.acc: 95.0135, s1.loss_bbox: 0.1053, s1.loss_mask: 0.1068, s2.loss_cls: 0.0339, s2.acc: 94.7534, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0509, loss: 1.0183 2023-11-14 00:20:35,232 - mmdet - INFO - Epoch [6][2700/7330] lr: 9.525e-06, eta: 9:00:05, time: 0.665, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1295, s0.acc: 95.0776, s0.loss_bbox: 0.2226, s0.loss_mask: 0.2066, s1.loss_cls: 0.0624, s1.acc: 95.1570, s1.loss_bbox: 0.1041, s1.loss_mask: 0.1054, s2.loss_cls: 0.0319, s2.acc: 94.9790, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0503, loss: 0.9966 2023-11-14 00:21:08,548 - mmdet - INFO - Epoch [6][2750/7330] lr: 9.525e-06, eta: 8:59:31, time: 0.666, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1310, s0.acc: 95.1130, s0.loss_bbox: 0.2275, s0.loss_mask: 0.2081, s1.loss_cls: 0.0632, s1.acc: 95.1853, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1068, s2.loss_cls: 0.0332, s2.acc: 94.8440, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0511, loss: 1.0173 2023-11-14 00:21:42,110 - mmdet - INFO - Epoch [6][2800/7330] lr: 9.525e-06, eta: 8:58:58, time: 0.671, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0244, s0.loss_cls: 0.1370, s0.acc: 94.9028, s0.loss_bbox: 0.2317, s0.loss_mask: 0.2111, s1.loss_cls: 0.0666, s1.acc: 94.9442, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1082, s2.loss_cls: 0.0343, s2.acc: 94.6420, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0520, loss: 1.0390 2023-11-14 00:22:15,487 - mmdet - INFO - Epoch [6][2850/7330] lr: 9.525e-06, eta: 8:58:25, time: 0.668, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1262, s0.acc: 95.2610, s0.loss_bbox: 0.2159, s0.loss_mask: 0.2074, s1.loss_cls: 0.0617, s1.acc: 95.3422, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1055, s2.loss_cls: 0.0321, s2.acc: 95.0682, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0505, loss: 0.9855 2023-11-14 00:22:49,087 - mmdet - INFO - Epoch [6][2900/7330] lr: 9.525e-06, eta: 8:57:52, time: 0.672, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1301, s0.acc: 95.1211, s0.loss_bbox: 0.2249, s0.loss_mask: 0.2122, s1.loss_cls: 0.0635, s1.acc: 95.1437, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1081, s2.loss_cls: 0.0330, s2.acc: 94.8819, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0516, loss: 1.0157 2023-11-14 00:23:22,417 - mmdet - INFO - Epoch [6][2950/7330] lr: 9.525e-06, eta: 8:57:19, time: 0.667, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1370, s0.acc: 94.9368, s0.loss_bbox: 0.2285, s0.loss_mask: 0.2159, s1.loss_cls: 0.0675, s1.acc: 94.9465, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1089, s2.loss_cls: 0.0349, s2.acc: 94.6130, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0519, loss: 1.0391 2023-11-14 00:23:55,183 - mmdet - INFO - Epoch [6][3000/7330] lr: 9.525e-06, eta: 8:56:45, time: 0.655, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1265, s0.acc: 95.2363, s0.loss_bbox: 0.2119, s0.loss_mask: 0.2055, s1.loss_cls: 0.0611, s1.acc: 95.3569, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1049, s2.loss_cls: 0.0318, s2.acc: 95.0886, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0501, loss: 0.9712 2023-11-14 00:24:28,402 - mmdet - INFO - Epoch [6][3050/7330] lr: 9.525e-06, eta: 8:56:11, time: 0.664, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1350, s0.acc: 94.8772, s0.loss_bbox: 0.2244, s0.loss_mask: 0.2097, s1.loss_cls: 0.0662, s1.acc: 94.9205, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1069, s2.loss_cls: 0.0340, s2.acc: 94.7084, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0509, loss: 1.0200 2023-11-14 00:25:01,752 - mmdet - INFO - Epoch [6][3100/7330] lr: 9.525e-06, eta: 8:55:38, time: 0.667, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1331, s0.acc: 95.0303, s0.loss_bbox: 0.2306, s0.loss_mask: 0.2118, s1.loss_cls: 0.0651, s1.acc: 94.9795, s1.loss_bbox: 0.1081, s1.loss_mask: 0.1080, s2.loss_cls: 0.0333, s2.acc: 94.7112, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0517, loss: 1.0276 2023-11-14 00:25:34,952 - mmdet - INFO - Epoch [6][3150/7330] lr: 9.525e-06, eta: 8:55:04, time: 0.664, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1338, s0.acc: 94.9873, s0.loss_bbox: 0.2280, s0.loss_mask: 0.2079, s1.loss_cls: 0.0646, s1.acc: 95.1582, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1064, s2.loss_cls: 0.0338, s2.acc: 94.8026, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0508, loss: 1.0212 2023-11-14 00:26:08,482 - mmdet - INFO - Epoch [6][3200/7330] lr: 9.525e-06, eta: 8:54:31, time: 0.671, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1289, s0.acc: 95.1382, s0.loss_bbox: 0.2185, s0.loss_mask: 0.2091, s1.loss_cls: 0.0625, s1.acc: 95.1996, s1.loss_bbox: 0.1039, s1.loss_mask: 0.1076, s2.loss_cls: 0.0321, s2.acc: 94.9350, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0516, loss: 1.0009 2023-11-14 00:26:41,917 - mmdet - INFO - Epoch [6][3250/7330] lr: 9.525e-06, eta: 8:53:58, time: 0.669, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1268, s0.acc: 95.1206, s0.loss_bbox: 0.2225, s0.loss_mask: 0.2098, s1.loss_cls: 0.0615, s1.acc: 95.1928, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1075, s2.loss_cls: 0.0325, s2.acc: 94.7478, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0513, loss: 1.0015 2023-11-14 00:27:15,190 - mmdet - INFO - Epoch [6][3300/7330] lr: 9.525e-06, eta: 8:53:25, time: 0.665, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1396, s0.acc: 94.7280, s0.loss_bbox: 0.2355, s0.loss_mask: 0.2132, s1.loss_cls: 0.0678, s1.acc: 94.8498, s1.loss_bbox: 0.1113, s1.loss_mask: 0.1080, s2.loss_cls: 0.0352, s2.acc: 94.5194, s2.loss_bbox: 0.0466, s2.loss_mask: 0.0513, loss: 1.0505 2023-11-14 00:27:49,005 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 00:27:49,005 - mmdet - INFO - Epoch [6][3350/7330] lr: 9.525e-06, eta: 8:52:52, time: 0.676, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0240, s0.loss_cls: 0.1371, s0.acc: 94.8308, s0.loss_bbox: 0.2298, s0.loss_mask: 0.2128, s1.loss_cls: 0.0669, s1.acc: 94.8251, s1.loss_bbox: 0.1097, s1.loss_mask: 0.1096, s2.loss_cls: 0.0346, s2.acc: 94.5051, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0526, loss: 1.0432 2023-11-14 00:28:22,236 - mmdet - INFO - Epoch [6][3400/7330] lr: 9.525e-06, eta: 8:52:18, time: 0.665, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1333, s0.acc: 94.9082, s0.loss_bbox: 0.2283, s0.loss_mask: 0.2141, s1.loss_cls: 0.0647, s1.acc: 94.9007, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1080, s2.loss_cls: 0.0331, s2.acc: 94.7090, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0517, loss: 1.0297 2023-11-14 00:28:55,189 - mmdet - INFO - Epoch [6][3450/7330] lr: 9.525e-06, eta: 8:51:45, time: 0.659, data_time: 0.019, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1290, s0.acc: 95.1685, s0.loss_bbox: 0.2194, s0.loss_mask: 0.2109, s1.loss_cls: 0.0627, s1.acc: 95.2819, s1.loss_bbox: 0.1047, s1.loss_mask: 0.1068, s2.loss_cls: 0.0325, s2.acc: 94.9794, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0509, loss: 1.0017 2023-11-14 00:29:28,682 - mmdet - INFO - Epoch [6][3500/7330] lr: 9.525e-06, eta: 8:51:11, time: 0.670, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1319, s0.acc: 95.0435, s0.loss_bbox: 0.2248, s0.loss_mask: 0.2089, s1.loss_cls: 0.0633, s1.acc: 95.1960, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1057, s2.loss_cls: 0.0331, s2.acc: 94.7715, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0501, loss: 1.0116 2023-11-14 00:30:01,960 - mmdet - INFO - Epoch [6][3550/7330] lr: 9.525e-06, eta: 8:50:38, time: 0.666, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1312, s0.acc: 94.9978, s0.loss_bbox: 0.2260, s0.loss_mask: 0.2116, s1.loss_cls: 0.0636, s1.acc: 95.0717, s1.loss_bbox: 0.1068, s1.loss_mask: 0.1071, s2.loss_cls: 0.0332, s2.acc: 94.7416, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0511, loss: 1.0177 2023-11-14 00:30:35,383 - mmdet - INFO - Epoch [6][3600/7330] lr: 9.525e-06, eta: 8:50:05, time: 0.668, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0242, s0.loss_cls: 0.1340, s0.acc: 95.0276, s0.loss_bbox: 0.2281, s0.loss_mask: 0.2112, s1.loss_cls: 0.0651, s1.acc: 95.1147, s1.loss_bbox: 0.1085, s1.loss_mask: 0.1081, s2.loss_cls: 0.0341, s2.acc: 94.6771, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0513, loss: 1.0308 2023-11-14 00:31:08,426 - mmdet - INFO - Epoch [6][3650/7330] lr: 9.525e-06, eta: 8:49:31, time: 0.661, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1330, s0.acc: 95.0020, s0.loss_bbox: 0.2257, s0.loss_mask: 0.2126, s1.loss_cls: 0.0636, s1.acc: 95.1053, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1090, s2.loss_cls: 0.0330, s2.acc: 94.8749, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0521, loss: 1.0213 2023-11-14 00:31:41,463 - mmdet - INFO - Epoch [6][3700/7330] lr: 9.525e-06, eta: 8:48:57, time: 0.661, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1227, s0.acc: 95.3787, s0.loss_bbox: 0.2137, s0.loss_mask: 0.2098, s1.loss_cls: 0.0595, s1.acc: 95.5012, s1.loss_bbox: 0.1015, s1.loss_mask: 0.1066, s2.loss_cls: 0.0311, s2.acc: 95.0730, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0507, loss: 0.9755 2023-11-14 00:32:14,991 - mmdet - INFO - Epoch [6][3750/7330] lr: 9.525e-06, eta: 8:48:24, time: 0.671, data_time: 0.028, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1328, s0.acc: 94.9358, s0.loss_bbox: 0.2262, s0.loss_mask: 0.2123, s1.loss_cls: 0.0651, s1.acc: 94.9791, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1080, s2.loss_cls: 0.0338, s2.acc: 94.7771, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0515, loss: 1.0224 2023-11-14 00:32:48,801 - mmdet - INFO - Epoch [6][3800/7330] lr: 9.525e-06, eta: 8:47:52, time: 0.676, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1378, s0.acc: 94.7253, s0.loss_bbox: 0.2288, s0.loss_mask: 0.2131, s1.loss_cls: 0.0679, s1.acc: 94.6771, s1.loss_bbox: 0.1077, s1.loss_mask: 0.1088, s2.loss_cls: 0.0351, s2.acc: 94.5439, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0515, loss: 1.0385 2023-11-14 00:33:22,335 - mmdet - INFO - Epoch [6][3850/7330] lr: 9.525e-06, eta: 8:47:19, time: 0.671, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0248, s0.loss_cls: 0.1332, s0.acc: 94.9788, s0.loss_bbox: 0.2284, s0.loss_mask: 0.2134, s1.loss_cls: 0.0652, s1.acc: 95.0467, s1.loss_bbox: 0.1070, s1.loss_mask: 0.1086, s2.loss_cls: 0.0338, s2.acc: 94.7469, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0514, loss: 1.0293 2023-11-14 00:33:55,717 - mmdet - INFO - Epoch [6][3900/7330] lr: 9.525e-06, eta: 8:46:45, time: 0.668, data_time: 0.029, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1286, s0.acc: 95.0952, s0.loss_bbox: 0.2194, s0.loss_mask: 0.2098, s1.loss_cls: 0.0627, s1.acc: 95.1233, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1071, s2.loss_cls: 0.0330, s2.acc: 94.7486, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0512, loss: 1.0007 2023-11-14 00:34:29,018 - mmdet - INFO - Epoch [6][3950/7330] lr: 9.525e-06, eta: 8:46:12, time: 0.666, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1312, s0.acc: 95.0520, s0.loss_bbox: 0.2231, s0.loss_mask: 0.2086, s1.loss_cls: 0.0636, s1.acc: 95.1106, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1062, s2.loss_cls: 0.0332, s2.acc: 94.7541, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0506, loss: 1.0069 2023-11-14 00:35:01,894 - mmdet - INFO - Epoch [6][4000/7330] lr: 9.525e-06, eta: 8:45:38, time: 0.658, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1301, s0.acc: 95.1765, s0.loss_bbox: 0.2213, s0.loss_mask: 0.2123, s1.loss_cls: 0.0623, s1.acc: 95.2258, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1082, s2.loss_cls: 0.0324, s2.acc: 94.9331, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0518, loss: 1.0074 2023-11-14 00:35:34,666 - mmdet - INFO - Epoch [6][4050/7330] lr: 9.525e-06, eta: 8:45:04, time: 0.655, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1287, s0.acc: 95.2168, s0.loss_bbox: 0.2204, s0.loss_mask: 0.2061, s1.loss_cls: 0.0628, s1.acc: 95.2593, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1064, s2.loss_cls: 0.0327, s2.acc: 95.0247, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0510, loss: 0.9966 2023-11-14 00:36:07,601 - mmdet - INFO - Epoch [6][4100/7330] lr: 9.525e-06, eta: 8:44:30, time: 0.659, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1279, s0.acc: 95.1423, s0.loss_bbox: 0.2255, s0.loss_mask: 0.2071, s1.loss_cls: 0.0619, s1.acc: 95.3242, s1.loss_bbox: 0.1073, s1.loss_mask: 0.1062, s2.loss_cls: 0.0326, s2.acc: 94.9435, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0506, loss: 1.0078 2023-11-14 00:36:40,694 - mmdet - INFO - Epoch [6][4150/7330] lr: 9.525e-06, eta: 8:43:57, time: 0.662, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1310, s0.acc: 95.0845, s0.loss_bbox: 0.2245, s0.loss_mask: 0.2100, s1.loss_cls: 0.0636, s1.acc: 95.1457, s1.loss_bbox: 0.1070, s1.loss_mask: 0.1069, s2.loss_cls: 0.0335, s2.acc: 94.7936, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0507, loss: 1.0137 2023-11-14 00:37:14,187 - mmdet - INFO - Epoch [6][4200/7330] lr: 9.525e-06, eta: 8:43:24, time: 0.670, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1270, s0.acc: 95.2349, s0.loss_bbox: 0.2197, s0.loss_mask: 0.2058, s1.loss_cls: 0.0612, s1.acc: 95.2396, s1.loss_bbox: 0.1040, s1.loss_mask: 0.1048, s2.loss_cls: 0.0320, s2.acc: 94.8839, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0500, loss: 0.9875 2023-11-14 00:37:46,994 - mmdet - INFO - Epoch [6][4250/7330] lr: 9.525e-06, eta: 8:42:50, time: 0.656, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1237, s0.acc: 95.3179, s0.loss_bbox: 0.2174, s0.loss_mask: 0.2077, s1.loss_cls: 0.0607, s1.acc: 95.2844, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1059, s2.loss_cls: 0.0318, s2.acc: 94.9814, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0507, loss: 0.9853 2023-11-14 00:38:20,329 - mmdet - INFO - Epoch [6][4300/7330] lr: 9.525e-06, eta: 8:42:16, time: 0.667, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0244, s0.loss_cls: 0.1377, s0.acc: 94.7820, s0.loss_bbox: 0.2357, s0.loss_mask: 0.2140, s1.loss_cls: 0.0661, s1.acc: 94.8254, s1.loss_bbox: 0.1106, s1.loss_mask: 0.1086, s2.loss_cls: 0.0339, s2.acc: 94.5999, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0518, loss: 1.0488 2023-11-14 00:38:53,285 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 00:38:53,286 - mmdet - INFO - Epoch [6][4350/7330] lr: 9.525e-06, eta: 8:41:42, time: 0.659, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1224, s0.acc: 95.4307, s0.loss_bbox: 0.2037, s0.loss_mask: 0.2048, s1.loss_cls: 0.0599, s1.acc: 95.4690, s1.loss_bbox: 0.0966, s1.loss_mask: 0.1042, s2.loss_cls: 0.0310, s2.acc: 95.1946, s2.loss_bbox: 0.0405, s2.loss_mask: 0.0496, loss: 0.9505 2023-11-14 00:39:25,980 - mmdet - INFO - Epoch [6][4400/7330] lr: 9.525e-06, eta: 8:41:08, time: 0.654, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1305, s0.acc: 95.1013, s0.loss_bbox: 0.2271, s0.loss_mask: 0.2159, s1.loss_cls: 0.0639, s1.acc: 95.1095, s1.loss_bbox: 0.1073, s1.loss_mask: 0.1089, s2.loss_cls: 0.0334, s2.acc: 94.7863, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0516, loss: 1.0234 2023-11-14 00:39:59,577 - mmdet - INFO - Epoch [6][4450/7330] lr: 9.525e-06, eta: 8:40:35, time: 0.672, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1266, s0.acc: 95.3479, s0.loss_bbox: 0.2123, s0.loss_mask: 0.2056, s1.loss_cls: 0.0608, s1.acc: 95.5345, s1.loss_bbox: 0.1015, s1.loss_mask: 0.1054, s2.loss_cls: 0.0317, s2.acc: 95.2526, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0506, loss: 0.9770 2023-11-14 00:40:32,688 - mmdet - INFO - Epoch [6][4500/7330] lr: 9.525e-06, eta: 8:40:02, time: 0.662, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1306, s0.acc: 95.0759, s0.loss_bbox: 0.2136, s0.loss_mask: 0.2127, s1.loss_cls: 0.0635, s1.acc: 95.0519, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1081, s2.loss_cls: 0.0330, s2.acc: 94.7717, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0515, loss: 0.9965 2023-11-14 00:41:05,691 - mmdet - INFO - Epoch [6][4550/7330] lr: 9.525e-06, eta: 8:39:28, time: 0.660, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1276, s0.acc: 95.2842, s0.loss_bbox: 0.2192, s0.loss_mask: 0.2057, s1.loss_cls: 0.0621, s1.acc: 95.3096, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1056, s2.loss_cls: 0.0323, s2.acc: 94.9711, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0505, loss: 0.9901 2023-11-14 00:41:38,730 - mmdet - INFO - Epoch [6][4600/7330] lr: 9.525e-06, eta: 8:38:54, time: 0.661, data_time: 0.017, memory: 30140, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1284, s0.acc: 95.1252, s0.loss_bbox: 0.2230, s0.loss_mask: 0.2107, s1.loss_cls: 0.0621, s1.acc: 95.2258, s1.loss_bbox: 0.1060, s1.loss_mask: 0.1075, s2.loss_cls: 0.0323, s2.acc: 94.8826, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0513, loss: 1.0085 2023-11-14 00:42:11,843 - mmdet - INFO - Epoch [6][4650/7330] lr: 9.525e-06, eta: 8:38:21, time: 0.662, data_time: 0.019, memory: 30140, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1239, s0.acc: 95.4116, s0.loss_bbox: 0.2100, s0.loss_mask: 0.2083, s1.loss_cls: 0.0596, s1.acc: 95.4920, s1.loss_bbox: 0.0999, s1.loss_mask: 0.1059, s2.loss_cls: 0.0311, s2.acc: 95.2767, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0508, loss: 0.9687 2023-11-14 00:42:45,057 - mmdet - INFO - Epoch [6][4700/7330] lr: 9.525e-06, eta: 8:37:47, time: 0.664, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1349, s0.acc: 94.9797, s0.loss_bbox: 0.2247, s0.loss_mask: 0.2096, s1.loss_cls: 0.0654, s1.acc: 95.1120, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1066, s2.loss_cls: 0.0337, s2.acc: 94.9092, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0508, loss: 1.0199 2023-11-14 00:43:18,074 - mmdet - INFO - Epoch [6][4750/7330] lr: 9.525e-06, eta: 8:37:14, time: 0.660, data_time: 0.031, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1306, s0.acc: 95.0142, s0.loss_bbox: 0.2209, s0.loss_mask: 0.2128, s1.loss_cls: 0.0647, s1.acc: 95.0074, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1093, s2.loss_cls: 0.0335, s2.acc: 94.7354, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0521, loss: 1.0145 2023-11-14 00:43:51,097 - mmdet - INFO - Epoch [6][4800/7330] lr: 9.525e-06, eta: 8:36:40, time: 0.660, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1247, s0.acc: 95.2087, s0.loss_bbox: 0.2163, s0.loss_mask: 0.2093, s1.loss_cls: 0.0622, s1.acc: 95.1171, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1070, s2.loss_cls: 0.0321, s2.acc: 94.9035, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0513, loss: 0.9895 2023-11-14 00:44:24,119 - mmdet - INFO - Epoch [6][4850/7330] lr: 9.525e-06, eta: 8:36:06, time: 0.660, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1269, s0.acc: 95.2390, s0.loss_bbox: 0.2203, s0.loss_mask: 0.2074, s1.loss_cls: 0.0622, s1.acc: 95.2153, s1.loss_bbox: 0.1051, s1.loss_mask: 0.1056, s2.loss_cls: 0.0318, s2.acc: 95.0508, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0507, loss: 0.9945 2023-11-14 00:44:57,472 - mmdet - INFO - Epoch [6][4900/7330] lr: 9.525e-06, eta: 8:35:33, time: 0.667, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1367, s0.acc: 94.8203, s0.loss_bbox: 0.2275, s0.loss_mask: 0.2136, s1.loss_cls: 0.0668, s1.acc: 94.8731, s1.loss_bbox: 0.1071, s1.loss_mask: 0.1084, s2.loss_cls: 0.0352, s2.acc: 94.4902, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0515, loss: 1.0325 2023-11-14 00:45:30,431 - mmdet - INFO - Epoch [6][4950/7330] lr: 9.525e-06, eta: 8:34:59, time: 0.659, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0206, s0.loss_cls: 0.1354, s0.acc: 94.9771, s0.loss_bbox: 0.2203, s0.loss_mask: 0.2114, s1.loss_cls: 0.0651, s1.acc: 95.0815, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1083, s2.loss_cls: 0.0336, s2.acc: 94.8776, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0515, loss: 1.0108 2023-11-14 00:46:03,713 - mmdet - INFO - Epoch [6][5000/7330] lr: 9.525e-06, eta: 8:34:26, time: 0.666, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1271, s0.acc: 95.1462, s0.loss_bbox: 0.2182, s0.loss_mask: 0.2130, s1.loss_cls: 0.0623, s1.acc: 95.1397, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1097, s2.loss_cls: 0.0320, s2.acc: 94.9220, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0522, loss: 1.0034 2023-11-14 00:46:36,677 - mmdet - INFO - Epoch [6][5050/7330] lr: 9.525e-06, eta: 8:33:52, time: 0.659, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1302, s0.acc: 95.1692, s0.loss_bbox: 0.2160, s0.loss_mask: 0.2056, s1.loss_cls: 0.0636, s1.acc: 95.1888, s1.loss_bbox: 0.1016, s1.loss_mask: 0.1049, s2.loss_cls: 0.0325, s2.acc: 94.9931, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0503, loss: 0.9895 2023-11-14 00:47:09,838 - mmdet - INFO - Epoch [6][5100/7330] lr: 9.525e-06, eta: 8:33:19, time: 0.663, data_time: 0.024, memory: 30140, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1280, s0.acc: 95.2275, s0.loss_bbox: 0.2161, s0.loss_mask: 0.2071, s1.loss_cls: 0.0628, s1.acc: 95.2323, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1054, s2.loss_cls: 0.0325, s2.acc: 95.0328, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0504, loss: 0.9873 2023-11-14 00:47:42,894 - mmdet - INFO - Epoch [6][5150/7330] lr: 9.525e-06, eta: 8:32:45, time: 0.661, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1314, s0.acc: 95.1155, s0.loss_bbox: 0.2197, s0.loss_mask: 0.2119, s1.loss_cls: 0.0636, s1.acc: 95.2445, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1068, s2.loss_cls: 0.0330, s2.acc: 94.9352, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0512, loss: 1.0064 2023-11-14 00:48:15,942 - mmdet - INFO - Epoch [6][5200/7330] lr: 9.525e-06, eta: 8:32:12, time: 0.661, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1327, s0.acc: 94.9558, s0.loss_bbox: 0.2228, s0.loss_mask: 0.2114, s1.loss_cls: 0.0644, s1.acc: 95.0066, s1.loss_bbox: 0.1045, s1.loss_mask: 0.1086, s2.loss_cls: 0.0336, s2.acc: 94.7138, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0519, loss: 1.0151 2023-11-14 00:48:48,778 - mmdet - INFO - Epoch [6][5250/7330] lr: 9.525e-06, eta: 8:31:38, time: 0.657, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1251, s0.acc: 95.2500, s0.loss_bbox: 0.2116, s0.loss_mask: 0.2049, s1.loss_cls: 0.0601, s1.acc: 95.3691, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1047, s2.loss_cls: 0.0317, s2.acc: 94.9951, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0500, loss: 0.9703 2023-11-14 00:49:21,437 - mmdet - INFO - Epoch [6][5300/7330] lr: 9.525e-06, eta: 8:31:04, time: 0.653, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1222, s0.acc: 95.4807, s0.loss_bbox: 0.2011, s0.loss_mask: 0.2026, s1.loss_cls: 0.0604, s1.acc: 95.4566, s1.loss_bbox: 0.0968, s1.loss_mask: 0.1040, s2.loss_cls: 0.0313, s2.acc: 95.3012, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0496, loss: 0.9471 2023-11-14 00:49:54,157 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 00:49:54,157 - mmdet - INFO - Epoch [6][5350/7330] lr: 9.525e-06, eta: 8:30:30, time: 0.654, data_time: 0.020, memory: 30140, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1303, s0.acc: 95.0391, s0.loss_bbox: 0.2167, s0.loss_mask: 0.2070, s1.loss_cls: 0.0637, s1.acc: 95.1087, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1051, s2.loss_cls: 0.0331, s2.acc: 94.8303, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0505, loss: 0.9960 2023-11-14 00:50:27,072 - mmdet - INFO - Epoch [6][5400/7330] lr: 9.525e-06, eta: 8:29:56, time: 0.658, data_time: 0.025, memory: 30140, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1261, s0.acc: 95.2483, s0.loss_bbox: 0.2142, s0.loss_mask: 0.2066, s1.loss_cls: 0.0625, s1.acc: 95.2622, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1061, s2.loss_cls: 0.0325, s2.acc: 95.0068, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0505, loss: 0.9841 2023-11-14 00:51:00,279 - mmdet - INFO - Epoch [6][5450/7330] lr: 9.525e-06, eta: 8:29:22, time: 0.664, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1317, s0.acc: 95.0569, s0.loss_bbox: 0.2206, s0.loss_mask: 0.2082, s1.loss_cls: 0.0645, s1.acc: 95.0657, s1.loss_bbox: 0.1047, s1.loss_mask: 0.1064, s2.loss_cls: 0.0333, s2.acc: 94.7795, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0510, loss: 1.0063 2023-11-14 00:51:33,545 - mmdet - INFO - Epoch [6][5500/7330] lr: 9.525e-06, eta: 8:28:49, time: 0.665, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1342, s0.acc: 95.0486, s0.loss_bbox: 0.2242, s0.loss_mask: 0.2053, s1.loss_cls: 0.0643, s1.acc: 95.2086, s1.loss_bbox: 0.1069, s1.loss_mask: 0.1058, s2.loss_cls: 0.0332, s2.acc: 94.9489, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0508, loss: 1.0106 2023-11-14 00:52:06,348 - mmdet - INFO - Epoch [6][5550/7330] lr: 9.525e-06, eta: 8:28:15, time: 0.656, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1365, s0.acc: 94.9231, s0.loss_bbox: 0.2219, s0.loss_mask: 0.2090, s1.loss_cls: 0.0664, s1.acc: 95.0002, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1067, s2.loss_cls: 0.0344, s2.acc: 94.6812, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0509, loss: 1.0165 2023-11-14 00:52:39,490 - mmdet - INFO - Epoch [6][5600/7330] lr: 9.525e-06, eta: 8:27:42, time: 0.663, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1301, s0.acc: 95.1245, s0.loss_bbox: 0.2245, s0.loss_mask: 0.2124, s1.loss_cls: 0.0630, s1.acc: 95.2336, s1.loss_bbox: 0.1051, s1.loss_mask: 0.1075, s2.loss_cls: 0.0328, s2.acc: 94.9067, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0515, loss: 1.0134 2023-11-14 00:53:12,470 - mmdet - INFO - Epoch [6][5650/7330] lr: 9.525e-06, eta: 8:27:08, time: 0.660, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1273, s0.acc: 95.1882, s0.loss_bbox: 0.2179, s0.loss_mask: 0.2084, s1.loss_cls: 0.0634, s1.acc: 95.0541, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1066, s2.loss_cls: 0.0331, s2.acc: 94.7711, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0510, loss: 0.9953 2023-11-14 00:53:45,425 - mmdet - INFO - Epoch [6][5700/7330] lr: 9.525e-06, eta: 8:26:34, time: 0.659, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1294, s0.acc: 95.1375, s0.loss_bbox: 0.2186, s0.loss_mask: 0.2093, s1.loss_cls: 0.0632, s1.acc: 95.2176, s1.loss_bbox: 0.1041, s1.loss_mask: 0.1058, s2.loss_cls: 0.0335, s2.acc: 94.8628, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0506, loss: 0.9989 2023-11-14 00:54:18,825 - mmdet - INFO - Epoch [6][5750/7330] lr: 9.525e-06, eta: 8:26:01, time: 0.668, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0247, s0.loss_cls: 0.1372, s0.acc: 94.7373, s0.loss_bbox: 0.2334, s0.loss_mask: 0.2121, s1.loss_cls: 0.0685, s1.acc: 94.6697, s1.loss_bbox: 0.1105, s1.loss_mask: 0.1084, s2.loss_cls: 0.0354, s2.acc: 94.3914, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0514, loss: 1.0500 2023-11-14 00:54:52,348 - mmdet - INFO - Epoch [6][5800/7330] lr: 9.525e-06, eta: 8:25:28, time: 0.670, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0236, s0.loss_cls: 0.1408, s0.acc: 94.6624, s0.loss_bbox: 0.2333, s0.loss_mask: 0.2159, s1.loss_cls: 0.0696, s1.acc: 94.6564, s1.loss_bbox: 0.1094, s1.loss_mask: 0.1088, s2.loss_cls: 0.0358, s2.acc: 94.3399, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0521, loss: 1.0563 2023-11-14 00:55:25,294 - mmdet - INFO - Epoch [6][5850/7330] lr: 9.525e-06, eta: 8:24:54, time: 0.659, data_time: 0.023, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0243, s0.loss_cls: 0.1357, s0.acc: 94.9294, s0.loss_bbox: 0.2262, s0.loss_mask: 0.2145, s1.loss_cls: 0.0654, s1.acc: 95.0552, s1.loss_bbox: 0.1069, s1.loss_mask: 0.1091, s2.loss_cls: 0.0341, s2.acc: 94.7053, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0520, loss: 1.0325 2023-11-14 00:55:58,534 - mmdet - INFO - Epoch [6][5900/7330] lr: 9.525e-06, eta: 8:24:21, time: 0.665, data_time: 0.022, memory: 30140, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1439, s0.acc: 94.5964, s0.loss_bbox: 0.2374, s0.loss_mask: 0.2188, s1.loss_cls: 0.0715, s1.acc: 94.4940, s1.loss_bbox: 0.1121, s1.loss_mask: 0.1110, s2.loss_cls: 0.0370, s2.acc: 94.2440, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0530, loss: 1.0742 2023-11-14 00:56:31,864 - mmdet - INFO - Epoch [6][5950/7330] lr: 9.525e-06, eta: 8:23:47, time: 0.667, data_time: 0.026, memory: 30140, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1352, s0.acc: 94.9875, s0.loss_bbox: 0.2218, s0.loss_mask: 0.2073, s1.loss_cls: 0.0665, s1.acc: 94.9685, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1048, s2.loss_cls: 0.0344, s2.acc: 94.6601, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0499, loss: 1.0089 2023-11-14 00:57:04,885 - mmdet - INFO - Epoch [6][6000/7330] lr: 9.525e-06, eta: 8:23:14, time: 0.660, data_time: 0.021, memory: 30140, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1284, s0.acc: 95.1743, s0.loss_bbox: 0.2200, s0.loss_mask: 0.2084, s1.loss_cls: 0.0625, s1.acc: 95.1843, s1.loss_bbox: 0.1039, s1.loss_mask: 0.1063, s2.loss_cls: 0.0323, s2.acc: 94.9107, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0511, loss: 0.9973 2023-11-14 00:57:38,137 - mmdet - INFO - Epoch [6][6050/7330] lr: 9.525e-06, eta: 8:22:40, time: 0.665, data_time: 0.018, memory: 30140, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1320, s0.acc: 94.9907, s0.loss_bbox: 0.2222, s0.loss_mask: 0.2097, s1.loss_cls: 0.0652, s1.acc: 94.9654, s1.loss_bbox: 0.1061, s1.loss_mask: 0.1075, s2.loss_cls: 0.0337, s2.acc: 94.6749, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0515, loss: 1.0139 2023-11-14 00:58:11,529 - mmdet - INFO - Epoch [6][6100/7330] lr: 9.525e-06, eta: 8:22:07, time: 0.668, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1354, s0.acc: 95.0408, s0.loss_bbox: 0.2214, s0.loss_mask: 0.2097, s1.loss_cls: 0.0662, s1.acc: 95.0423, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1071, s2.loss_cls: 0.0344, s2.acc: 94.7003, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0512, loss: 1.0178 2023-11-14 00:58:44,839 - mmdet - INFO - Epoch [6][6150/7330] lr: 9.525e-06, eta: 8:21:34, time: 0.666, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1375, s0.acc: 94.8596, s0.loss_bbox: 0.2299, s0.loss_mask: 0.2097, s1.loss_cls: 0.0670, s1.acc: 94.9074, s1.loss_bbox: 0.1084, s1.loss_mask: 0.1064, s2.loss_cls: 0.0349, s2.acc: 94.6212, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0507, loss: 1.0321 2023-11-14 00:59:17,974 - mmdet - INFO - Epoch [6][6200/7330] lr: 9.525e-06, eta: 8:21:00, time: 0.663, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1307, s0.acc: 95.0676, s0.loss_bbox: 0.2215, s0.loss_mask: 0.2093, s1.loss_cls: 0.0647, s1.acc: 95.1075, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1066, s2.loss_cls: 0.0335, s2.acc: 94.8244, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0510, loss: 1.0071 2023-11-14 00:59:50,899 - mmdet - INFO - Epoch [6][6250/7330] lr: 9.525e-06, eta: 8:20:27, time: 0.658, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1315, s0.acc: 95.0488, s0.loss_bbox: 0.2251, s0.loss_mask: 0.2111, s1.loss_cls: 0.0647, s1.acc: 95.0421, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1073, s2.loss_cls: 0.0339, s2.acc: 94.7256, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0512, loss: 1.0162 2023-11-14 01:00:23,616 - mmdet - INFO - Epoch [6][6300/7330] lr: 9.525e-06, eta: 8:19:53, time: 0.654, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1247, s0.acc: 95.2659, s0.loss_bbox: 0.2168, s0.loss_mask: 0.2062, s1.loss_cls: 0.0606, s1.acc: 95.3412, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1054, s2.loss_cls: 0.0313, s2.acc: 95.1614, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0505, loss: 0.9787 2023-11-14 01:00:56,708 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 01:00:56,708 - mmdet - INFO - Epoch [6][6350/7330] lr: 9.525e-06, eta: 8:19:19, time: 0.662, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1273, s0.acc: 95.2505, s0.loss_bbox: 0.2168, s0.loss_mask: 0.2111, s1.loss_cls: 0.0619, s1.acc: 95.3203, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1081, s2.loss_cls: 0.0321, s2.acc: 95.1314, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0515, loss: 0.9953 2023-11-14 01:01:29,358 - mmdet - INFO - Epoch [6][6400/7330] lr: 9.525e-06, eta: 8:18:45, time: 0.653, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1299, s0.acc: 95.1499, s0.loss_bbox: 0.2180, s0.loss_mask: 0.2070, s1.loss_cls: 0.0643, s1.acc: 95.1162, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1059, s2.loss_cls: 0.0339, s2.acc: 94.7213, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0506, loss: 0.9973 2023-11-14 01:02:02,200 - mmdet - INFO - Epoch [6][6450/7330] lr: 9.525e-06, eta: 8:18:11, time: 0.657, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1249, s0.acc: 95.3274, s0.loss_bbox: 0.2134, s0.loss_mask: 0.2075, s1.loss_cls: 0.0611, s1.acc: 95.3026, s1.loss_bbox: 0.1018, s1.loss_mask: 0.1062, s2.loss_cls: 0.0319, s2.acc: 94.9686, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0508, loss: 0.9819 2023-11-14 01:02:35,244 - mmdet - INFO - Epoch [6][6500/7330] lr: 9.525e-06, eta: 8:17:38, time: 0.661, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1284, s0.acc: 95.1702, s0.loss_bbox: 0.2202, s0.loss_mask: 0.2040, s1.loss_cls: 0.0632, s1.acc: 95.1829, s1.loss_bbox: 0.1041, s1.loss_mask: 0.1045, s2.loss_cls: 0.0325, s2.acc: 94.9248, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0499, loss: 0.9915 2023-11-14 01:03:08,134 - mmdet - INFO - Epoch [6][6550/7330] lr: 9.525e-06, eta: 8:17:04, time: 0.658, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1297, s0.acc: 95.1477, s0.loss_bbox: 0.2182, s0.loss_mask: 0.2124, s1.loss_cls: 0.0630, s1.acc: 95.2937, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1084, s2.loss_cls: 0.0330, s2.acc: 94.9299, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0521, loss: 1.0037 2023-11-14 01:03:41,111 - mmdet - INFO - Epoch [6][6600/7330] lr: 9.525e-06, eta: 8:16:30, time: 0.659, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1345, s0.acc: 94.9829, s0.loss_bbox: 0.2261, s0.loss_mask: 0.2127, s1.loss_cls: 0.0659, s1.acc: 94.9562, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1087, s2.loss_cls: 0.0338, s2.acc: 94.7840, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0521, loss: 1.0277 2023-11-14 01:04:13,996 - mmdet - INFO - Epoch [6][6650/7330] lr: 9.525e-06, eta: 8:15:56, time: 0.658, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1309, s0.acc: 95.1968, s0.loss_bbox: 0.2178, s0.loss_mask: 0.2083, s1.loss_cls: 0.0640, s1.acc: 95.1914, s1.loss_bbox: 0.1040, s1.loss_mask: 0.1061, s2.loss_cls: 0.0332, s2.acc: 94.8868, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0505, loss: 0.9974 2023-11-14 01:04:46,691 - mmdet - INFO - Epoch [6][6700/7330] lr: 9.525e-06, eta: 8:15:23, time: 0.654, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1350, s0.acc: 94.9319, s0.loss_bbox: 0.2244, s0.loss_mask: 0.2074, s1.loss_cls: 0.0669, s1.acc: 94.8628, s1.loss_bbox: 0.1068, s1.loss_mask: 0.1061, s2.loss_cls: 0.0348, s2.acc: 94.6512, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0500, loss: 1.0146 2023-11-14 01:05:19,738 - mmdet - INFO - Epoch [6][6750/7330] lr: 9.525e-06, eta: 8:14:49, time: 0.661, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1305, s0.acc: 95.0713, s0.loss_bbox: 0.2207, s0.loss_mask: 0.2065, s1.loss_cls: 0.0637, s1.acc: 95.1285, s1.loss_bbox: 0.1059, s1.loss_mask: 0.1061, s2.loss_cls: 0.0331, s2.acc: 94.8311, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0511, loss: 1.0028 2023-11-14 01:05:52,781 - mmdet - INFO - Epoch [6][6800/7330] lr: 9.525e-06, eta: 8:14:15, time: 0.661, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1329, s0.acc: 95.0005, s0.loss_bbox: 0.2237, s0.loss_mask: 0.2094, s1.loss_cls: 0.0653, s1.acc: 95.0061, s1.loss_bbox: 0.1057, s1.loss_mask: 0.1065, s2.loss_cls: 0.0334, s2.acc: 94.7998, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0508, loss: 1.0145 2023-11-14 01:06:25,651 - mmdet - INFO - Epoch [6][6850/7330] lr: 9.525e-06, eta: 8:13:42, time: 0.657, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1300, s0.acc: 95.1907, s0.loss_bbox: 0.2192, s0.loss_mask: 0.2047, s1.loss_cls: 0.0636, s1.acc: 95.2574, s1.loss_bbox: 0.1044, s1.loss_mask: 0.1047, s2.loss_cls: 0.0329, s2.acc: 95.0241, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0500, loss: 0.9930 2023-11-14 01:06:58,429 - mmdet - INFO - Epoch [6][6900/7330] lr: 9.525e-06, eta: 8:13:08, time: 0.656, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1324, s0.acc: 95.0815, s0.loss_bbox: 0.2221, s0.loss_mask: 0.2088, s1.loss_cls: 0.0651, s1.acc: 95.0278, s1.loss_bbox: 0.1060, s1.loss_mask: 0.1064, s2.loss_cls: 0.0339, s2.acc: 94.6699, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0509, loss: 1.0099 2023-11-14 01:07:31,403 - mmdet - INFO - Epoch [6][6950/7330] lr: 9.525e-06, eta: 8:12:34, time: 0.659, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1287, s0.acc: 95.1455, s0.loss_bbox: 0.2179, s0.loss_mask: 0.2045, s1.loss_cls: 0.0636, s1.acc: 95.0964, s1.loss_bbox: 0.1038, s1.loss_mask: 0.1053, s2.loss_cls: 0.0337, s2.acc: 94.6866, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0504, loss: 0.9913 2023-11-14 01:08:04,281 - mmdet - INFO - Epoch [6][7000/7330] lr: 9.525e-06, eta: 8:12:00, time: 0.657, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0242, s0.loss_cls: 0.1379, s0.acc: 94.8428, s0.loss_bbox: 0.2299, s0.loss_mask: 0.2170, s1.loss_cls: 0.0676, s1.acc: 94.8661, s1.loss_bbox: 0.1090, s1.loss_mask: 0.1103, s2.loss_cls: 0.0349, s2.acc: 94.6563, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0524, loss: 1.0497 2023-11-14 01:08:37,130 - mmdet - INFO - Epoch [6][7050/7330] lr: 9.525e-06, eta: 8:11:27, time: 0.657, data_time: 0.026, memory: 30145, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1334, s0.acc: 95.0051, s0.loss_bbox: 0.2273, s0.loss_mask: 0.2108, s1.loss_cls: 0.0652, s1.acc: 94.9763, s1.loss_bbox: 0.1081, s1.loss_mask: 0.1077, s2.loss_cls: 0.0339, s2.acc: 94.6862, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0512, loss: 1.0239 2023-11-14 01:09:10,059 - mmdet - INFO - Epoch [6][7100/7330] lr: 9.525e-06, eta: 8:10:53, time: 0.659, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1348, s0.acc: 94.9038, s0.loss_bbox: 0.2240, s0.loss_mask: 0.2119, s1.loss_cls: 0.0662, s1.acc: 94.8749, s1.loss_bbox: 0.1060, s1.loss_mask: 0.1076, s2.loss_cls: 0.0348, s2.acc: 94.5387, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0510, loss: 1.0234 2023-11-14 01:09:43,155 - mmdet - INFO - Epoch [6][7150/7330] lr: 9.525e-06, eta: 8:10:19, time: 0.662, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0242, s0.loss_cls: 0.1406, s0.acc: 94.7302, s0.loss_bbox: 0.2331, s0.loss_mask: 0.2159, s1.loss_cls: 0.0681, s1.acc: 94.8122, s1.loss_bbox: 0.1095, s1.loss_mask: 0.1093, s2.loss_cls: 0.0356, s2.acc: 94.4185, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0519, loss: 1.0546 2023-11-14 01:10:16,358 - mmdet - INFO - Epoch [6][7200/7330] lr: 9.525e-06, eta: 8:09:46, time: 0.664, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1316, s0.acc: 95.0552, s0.loss_bbox: 0.2207, s0.loss_mask: 0.2096, s1.loss_cls: 0.0649, s1.acc: 95.0578, s1.loss_bbox: 0.1057, s1.loss_mask: 0.1072, s2.loss_cls: 0.0337, s2.acc: 94.8006, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0511, loss: 1.0099 2023-11-14 01:10:49,129 - mmdet - INFO - Epoch [6][7250/7330] lr: 9.525e-06, eta: 8:09:12, time: 0.655, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1367, s0.acc: 94.8801, s0.loss_bbox: 0.2312, s0.loss_mask: 0.2142, s1.loss_cls: 0.0660, s1.acc: 94.9911, s1.loss_bbox: 0.1096, s1.loss_mask: 0.1090, s2.loss_cls: 0.0340, s2.acc: 94.8211, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0520, loss: 1.0412 2023-11-14 01:11:22,337 - mmdet - INFO - Epoch [6][7300/7330] lr: 9.525e-06, eta: 8:08:39, time: 0.664, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1268, s0.acc: 95.2585, s0.loss_bbox: 0.2155, s0.loss_mask: 0.2101, s1.loss_cls: 0.0615, s1.acc: 95.3031, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1079, s2.loss_cls: 0.0319, s2.acc: 95.0325, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0516, loss: 0.9932 2023-11-14 01:11:42,428 - mmdet - INFO - Saving checkpoint at 6 epochs 2023-11-14 01:13:11,002 - mmdet - INFO - Evaluating bbox... 2023-11-14 01:13:41,010 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.538 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.732 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.586 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.364 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.583 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.699 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.661 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.661 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.661 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.483 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.712 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.813 2023-11-14 01:13:41,012 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.631 | bicycle | 0.415 | car | 0.547 | | motorcycle | 0.526 | airplane | 0.760 | bus | 0.759 | | train | 0.756 | truck | 0.470 | boat | 0.387 | | traffic light | 0.338 | fire hydrant | 0.763 | stop sign | 0.721 | | parking meter | 0.539 | bench | 0.357 | bird | 0.462 | | cat | 0.808 | dog | 0.764 | horse | 0.687 | | sheep | 0.627 | cow | 0.685 | elephant | 0.760 | | bear | 0.795 | zebra | 0.750 | giraffe | 0.755 | | backpack | 0.237 | umbrella | 0.512 | handbag | 0.284 | | tie | 0.458 | suitcase | 0.544 | frisbee | 0.747 | | skis | 0.351 | snowboard | 0.507 | sports ball | 0.533 | | kite | 0.521 | baseball bat | 0.523 | baseball glove | 0.485 | | skateboard | 0.627 | surfboard | 0.536 | tennis racket | 0.636 | | bottle | 0.505 | wine glass | 0.472 | cup | 0.569 | | fork | 0.542 | knife | 0.343 | spoon | 0.352 | | bowl | 0.529 | banana | 0.323 | apple | 0.299 | | sandwich | 0.493 | orange | 0.376 | broccoli | 0.301 | | carrot | 0.308 | hot dog | 0.548 | pizza | 0.605 | | donut | 0.639 | cake | 0.512 | chair | 0.422 | | couch | 0.501 | potted plant | 0.378 | bed | 0.563 | | dining table | 0.353 | toilet | 0.712 | tv | 0.680 | | laptop | 0.748 | mouse | 0.689 | remote | 0.524 | | keyboard | 0.592 | cell phone | 0.516 | microwave | 0.685 | | oven | 0.429 | toaster | 0.610 | sink | 0.484 | | refrigerator | 0.725 | book | 0.230 | clock | 0.564 | | vase | 0.468 | scissors | 0.538 | teddy bear | 0.640 | | hair drier | 0.215 | toothbrush | 0.491 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 01:13:41,012 - mmdet - INFO - Evaluating segm... 2023-11-14 01:14:11,538 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.468 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.707 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.508 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.274 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.506 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.663 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.407 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.628 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.740 2023-11-14 01:14:11,540 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.533 | bicycle | 0.251 | car | 0.486 | | motorcycle | 0.423 | airplane | 0.570 | bus | 0.724 | | train | 0.715 | truck | 0.441 | boat | 0.348 | | traffic light | 0.317 | fire hydrant | 0.718 | stop sign | 0.692 | | parking meter | 0.532 | bench | 0.265 | bird | 0.377 | | cat | 0.762 | dog | 0.681 | horse | 0.509 | | sheep | 0.546 | cow | 0.564 | elephant | 0.671 | | bear | 0.761 | zebra | 0.623 | giraffe | 0.582 | | backpack | 0.232 | umbrella | 0.541 | handbag | 0.245 | | tie | 0.407 | suitcase | 0.556 | frisbee | 0.689 | | skis | 0.062 | snowboard | 0.341 | sports ball | 0.501 | | kite | 0.363 | baseball bat | 0.357 | baseball glove | 0.504 | | skateboard | 0.402 | surfboard | 0.426 | tennis racket | 0.637 | | bottle | 0.472 | wine glass | 0.406 | cup | 0.550 | | fork | 0.287 | knife | 0.235 | spoon | 0.237 | | bowl | 0.482 | banana | 0.270 | apple | 0.290 | | sandwich | 0.493 | orange | 0.373 | broccoli | 0.264 | | carrot | 0.270 | hot dog | 0.443 | pizza | 0.571 | | donut | 0.616 | cake | 0.499 | chair | 0.297 | | couch | 0.413 | potted plant | 0.307 | bed | 0.423 | | dining table | 0.198 | toilet | 0.675 | tv | 0.688 | | laptop | 0.716 | mouse | 0.665 | remote | 0.448 | | keyboard | 0.564 | cell phone | 0.471 | microwave | 0.690 | | oven | 0.386 | toaster | 0.623 | sink | 0.447 | | refrigerator | 0.691 | book | 0.182 | clock | 0.557 | | vase | 0.445 | scissors | 0.382 | teddy bear | 0.587 | | hair drier | 0.193 | toothbrush | 0.305 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 01:14:12,027 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco/best_bbox_mAP_epoch_5.pth was removed 2023-11-14 01:14:25,104 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_6.pth. 2023-11-14 01:14:25,105 - mmdet - INFO - Best bbox_mAP is 0.5379 at 6 epoch. 2023-11-14 01:14:25,105 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 01:14:25,105 - mmdet - INFO - Epoch(val) [6][625] bbox_mAP: 0.5379, bbox_mAP_50: 0.7318, bbox_mAP_75: 0.5856, bbox_mAP_s: 0.3638, bbox_mAP_m: 0.5832, bbox_mAP_l: 0.6992, bbox_mAP_copypaste: 0.5379 0.7318 0.5856 0.3638 0.5832 0.6992, segm_mAP: 0.4683, segm_mAP_50: 0.7068, segm_mAP_75: 0.5080, segm_mAP_s: 0.2741, segm_mAP_m: 0.5057, segm_mAP_l: 0.6631, segm_mAP_copypaste: 0.4683 0.7068 0.5080 0.2741 0.5057 0.6631 2023-11-14 01:15:01,971 - mmdet - INFO - Epoch [7][50/7330] lr: 9.525e-06, eta: 8:07:29, time: 0.737, data_time: 0.086, memory: 30145, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1194, s0.acc: 95.4646, s0.loss_bbox: 0.2089, s0.loss_mask: 0.2072, s1.loss_cls: 0.0572, s1.acc: 95.6524, s1.loss_bbox: 0.0995, s1.loss_mask: 0.1056, s2.loss_cls: 0.0298, s2.acc: 95.4029, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0504, loss: 0.9580 2023-11-14 01:15:36,209 - mmdet - INFO - Epoch [7][100/7330] lr: 9.525e-06, eta: 8:06:57, time: 0.685, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1209, s0.acc: 95.4072, s0.loss_bbox: 0.2150, s0.loss_mask: 0.2027, s1.loss_cls: 0.0587, s1.acc: 95.5396, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1048, s2.loss_cls: 0.0310, s2.acc: 95.2136, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0503, loss: 0.9680 2023-11-14 01:16:10,098 - mmdet - INFO - Epoch [7][150/7330] lr: 9.525e-06, eta: 8:06:24, time: 0.678, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1280, s0.acc: 95.1555, s0.loss_bbox: 0.2257, s0.loss_mask: 0.2074, s1.loss_cls: 0.0606, s1.acc: 95.3701, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1067, s2.loss_cls: 0.0318, s2.acc: 95.0640, s2.loss_bbox: 0.0468, s2.loss_mask: 0.0513, loss: 1.0052 2023-11-14 01:16:43,614 - mmdet - INFO - Epoch [7][200/7330] lr: 9.525e-06, eta: 8:05:51, time: 0.670, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1250, s0.acc: 95.2920, s0.loss_bbox: 0.2164, s0.loss_mask: 0.2042, s1.loss_cls: 0.0597, s1.acc: 95.4295, s1.loss_bbox: 0.1032, s1.loss_mask: 0.1044, s2.loss_cls: 0.0312, s2.acc: 95.2325, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0502, loss: 0.9769 2023-11-14 01:17:17,274 - mmdet - INFO - Epoch [7][250/7330] lr: 9.525e-06, eta: 8:05:18, time: 0.673, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1297, s0.acc: 95.0215, s0.loss_bbox: 0.2306, s0.loss_mask: 0.2112, s1.loss_cls: 0.0632, s1.acc: 95.0203, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1075, s2.loss_cls: 0.0329, s2.acc: 94.7489, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0513, loss: 1.0212 2023-11-14 01:17:51,140 - mmdet - INFO - Epoch [7][300/7330] lr: 9.525e-06, eta: 8:04:45, time: 0.677, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0255, s0.loss_cls: 0.1333, s0.acc: 94.9761, s0.loss_bbox: 0.2287, s0.loss_mask: 0.2120, s1.loss_cls: 0.0642, s1.acc: 95.1570, s1.loss_bbox: 0.1074, s1.loss_mask: 0.1078, s2.loss_cls: 0.0331, s2.acc: 94.8612, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0516, loss: 1.0280 2023-11-14 01:18:24,576 - mmdet - INFO - Epoch [7][350/7330] lr: 9.525e-06, eta: 8:04:12, time: 0.669, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0206, s0.loss_cls: 0.1213, s0.acc: 95.4944, s0.loss_bbox: 0.2112, s0.loss_mask: 0.2048, s1.loss_cls: 0.0579, s1.acc: 95.6078, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1038, s2.loss_cls: 0.0305, s2.acc: 95.3163, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0498, loss: 0.9597 2023-11-14 01:18:58,167 - mmdet - INFO - Epoch [7][400/7330] lr: 9.525e-06, eta: 8:03:39, time: 0.672, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1250, s0.acc: 95.2832, s0.loss_bbox: 0.2174, s0.loss_mask: 0.2056, s1.loss_cls: 0.0610, s1.acc: 95.3650, s1.loss_bbox: 0.1040, s1.loss_mask: 0.1058, s2.loss_cls: 0.0316, s2.acc: 95.0359, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0508, loss: 0.9849 2023-11-14 01:19:31,930 - mmdet - INFO - Epoch [7][450/7330] lr: 9.525e-06, eta: 8:03:06, time: 0.675, data_time: 0.028, memory: 30145, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0232, s0.loss_cls: 0.1275, s0.acc: 95.1853, s0.loss_bbox: 0.2200, s0.loss_mask: 0.2143, s1.loss_cls: 0.0627, s1.acc: 95.2074, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1080, s2.loss_cls: 0.0324, s2.acc: 94.9405, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0515, loss: 1.0061 2023-11-14 01:20:05,168 - mmdet - INFO - Epoch [7][500/7330] lr: 9.525e-06, eta: 8:02:33, time: 0.665, data_time: 0.019, memory: 30145, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1230, s0.acc: 95.2993, s0.loss_bbox: 0.2138, s0.loss_mask: 0.2038, s1.loss_cls: 0.0601, s1.acc: 95.3599, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1043, s2.loss_cls: 0.0312, s2.acc: 95.0645, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0500, loss: 0.9693 2023-11-14 01:20:37,982 - mmdet - INFO - Epoch [7][550/7330] lr: 9.525e-06, eta: 8:01:59, time: 0.656, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1262, s0.acc: 95.2292, s0.loss_bbox: 0.2224, s0.loss_mask: 0.2120, s1.loss_cls: 0.0614, s1.acc: 95.2931, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1081, s2.loss_cls: 0.0321, s2.acc: 95.0181, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0518, loss: 1.0026 2023-11-14 01:21:11,855 - mmdet - INFO - Epoch [7][600/7330] lr: 9.525e-06, eta: 8:01:26, time: 0.677, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1233, s0.acc: 95.2817, s0.loss_bbox: 0.2199, s0.loss_mask: 0.2108, s1.loss_cls: 0.0597, s1.acc: 95.3676, s1.loss_bbox: 0.1045, s1.loss_mask: 0.1079, s2.loss_cls: 0.0310, s2.acc: 95.0083, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0514, loss: 0.9934 2023-11-14 01:21:44,950 - mmdet - INFO - Epoch [7][650/7330] lr: 9.525e-06, eta: 8:00:53, time: 0.662, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1237, s0.acc: 95.2642, s0.loss_bbox: 0.2217, s0.loss_mask: 0.2087, s1.loss_cls: 0.0599, s1.acc: 95.3869, s1.loss_bbox: 0.1060, s1.loss_mask: 0.1070, s2.loss_cls: 0.0313, s2.acc: 95.1289, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0512, loss: 0.9954 2023-11-14 01:22:18,739 - mmdet - INFO - Epoch [7][700/7330] lr: 9.525e-06, eta: 8:00:20, time: 0.676, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1237, s0.acc: 95.3596, s0.loss_bbox: 0.2173, s0.loss_mask: 0.2052, s1.loss_cls: 0.0598, s1.acc: 95.4275, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1060, s2.loss_cls: 0.0313, s2.acc: 95.0764, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0508, loss: 0.9830 2023-11-14 01:22:51,752 - mmdet - INFO - Epoch [7][750/7330] lr: 9.525e-06, eta: 7:59:46, time: 0.660, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1237, s0.acc: 95.2993, s0.loss_bbox: 0.2160, s0.loss_mask: 0.2054, s1.loss_cls: 0.0598, s1.acc: 95.3525, s1.loss_bbox: 0.1021, s1.loss_mask: 0.1052, s2.loss_cls: 0.0309, s2.acc: 95.1435, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0504, loss: 0.9751 2023-11-14 01:23:25,687 - mmdet - INFO - Epoch [7][800/7330] lr: 9.525e-06, eta: 7:59:14, time: 0.679, data_time: 0.027, memory: 30145, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1249, s0.acc: 95.2480, s0.loss_bbox: 0.2169, s0.loss_mask: 0.2054, s1.loss_cls: 0.0602, s1.acc: 95.4180, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1053, s2.loss_cls: 0.0317, s2.acc: 95.0625, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0508, loss: 0.9846 2023-11-14 01:23:58,418 - mmdet - INFO - Epoch [7][850/7330] lr: 9.525e-06, eta: 7:58:40, time: 0.655, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1187, s0.acc: 95.4995, s0.loss_bbox: 0.2101, s0.loss_mask: 0.2001, s1.loss_cls: 0.0575, s1.acc: 95.6210, s1.loss_bbox: 0.1015, s1.loss_mask: 0.1031, s2.loss_cls: 0.0302, s2.acc: 95.2282, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0494, loss: 0.9503 2023-11-14 01:24:31,616 - mmdet - INFO - Epoch [7][900/7330] lr: 9.525e-06, eta: 7:58:06, time: 0.664, data_time: 0.026, memory: 30145, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1244, s0.acc: 95.2627, s0.loss_bbox: 0.2216, s0.loss_mask: 0.2080, s1.loss_cls: 0.0603, s1.acc: 95.3203, s1.loss_bbox: 0.1056, s1.loss_mask: 0.1053, s2.loss_cls: 0.0314, s2.acc: 95.0303, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0506, loss: 0.9904 2023-11-14 01:25:04,979 - mmdet - INFO - Epoch [7][950/7330] lr: 9.525e-06, eta: 7:57:33, time: 0.667, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1240, s0.acc: 95.3225, s0.loss_bbox: 0.2175, s0.loss_mask: 0.2088, s1.loss_cls: 0.0590, s1.acc: 95.4276, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1065, s2.loss_cls: 0.0307, s2.acc: 95.2318, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0510, loss: 0.9863 2023-11-14 01:25:38,298 - mmdet - INFO - Epoch [7][1000/7330] lr: 9.525e-06, eta: 7:57:00, time: 0.666, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1233, s0.acc: 95.2463, s0.loss_bbox: 0.2195, s0.loss_mask: 0.2077, s1.loss_cls: 0.0601, s1.acc: 95.3390, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1056, s2.loss_cls: 0.0318, s2.acc: 94.9329, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0503, loss: 0.9832 2023-11-14 01:26:11,997 - mmdet - INFO - Epoch [7][1050/7330] lr: 9.525e-06, eta: 7:56:27, time: 0.674, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1293, s0.acc: 95.0759, s0.loss_bbox: 0.2262, s0.loss_mask: 0.2116, s1.loss_cls: 0.0621, s1.acc: 95.1794, s1.loss_bbox: 0.1072, s1.loss_mask: 0.1089, s2.loss_cls: 0.0326, s2.acc: 94.7889, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0521, loss: 1.0169 2023-11-14 01:26:45,692 - mmdet - INFO - Epoch [7][1100/7330] lr: 9.525e-06, eta: 7:55:54, time: 0.674, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1211, s0.acc: 95.3557, s0.loss_bbox: 0.2145, s0.loss_mask: 0.2032, s1.loss_cls: 0.0595, s1.acc: 95.3222, s1.loss_bbox: 0.1031, s1.loss_mask: 0.1037, s2.loss_cls: 0.0313, s2.acc: 95.0250, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0497, loss: 0.9697 2023-11-14 01:27:19,019 - mmdet - INFO - Epoch [7][1150/7330] lr: 9.525e-06, eta: 7:55:21, time: 0.667, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1276, s0.acc: 95.2500, s0.loss_bbox: 0.2215, s0.loss_mask: 0.2037, s1.loss_cls: 0.0612, s1.acc: 95.3481, s1.loss_bbox: 0.1061, s1.loss_mask: 0.1046, s2.loss_cls: 0.0323, s2.acc: 94.9949, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0502, loss: 0.9898 2023-11-14 01:27:52,440 - mmdet - INFO - Epoch [7][1200/7330] lr: 9.525e-06, eta: 7:54:48, time: 0.668, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1237, s0.acc: 95.3101, s0.loss_bbox: 0.2150, s0.loss_mask: 0.2068, s1.loss_cls: 0.0600, s1.acc: 95.3222, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1070, s2.loss_cls: 0.0313, s2.acc: 95.0655, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0508, loss: 0.9789 2023-11-14 01:28:26,076 - mmdet - INFO - Epoch [7][1250/7330] lr: 9.525e-06, eta: 7:54:15, time: 0.673, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1275, s0.acc: 95.2917, s0.loss_bbox: 0.2214, s0.loss_mask: 0.2066, s1.loss_cls: 0.0622, s1.acc: 95.3512, s1.loss_bbox: 0.1063, s1.loss_mask: 0.1064, s2.loss_cls: 0.0320, s2.acc: 95.1236, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0508, loss: 0.9971 2023-11-14 01:28:59,353 - mmdet - INFO - Epoch [7][1300/7330] lr: 9.525e-06, eta: 7:53:41, time: 0.666, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1201, s0.acc: 95.4468, s0.loss_bbox: 0.2112, s0.loss_mask: 0.2021, s1.loss_cls: 0.0577, s1.acc: 95.5872, s1.loss_bbox: 0.1017, s1.loss_mask: 0.1040, s2.loss_cls: 0.0302, s2.acc: 95.3051, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0501, loss: 0.9581 2023-11-14 01:29:32,811 - mmdet - INFO - Epoch [7][1350/7330] lr: 9.525e-06, eta: 7:53:08, time: 0.669, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1281, s0.acc: 95.1467, s0.loss_bbox: 0.2242, s0.loss_mask: 0.2128, s1.loss_cls: 0.0613, s1.acc: 95.2544, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1086, s2.loss_cls: 0.0318, s2.acc: 94.9218, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0515, loss: 1.0087 2023-11-14 01:30:06,009 - mmdet - INFO - Epoch [7][1400/7330] lr: 9.525e-06, eta: 7:52:35, time: 0.664, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1281, s0.acc: 95.2517, s0.loss_bbox: 0.2189, s0.loss_mask: 0.2083, s1.loss_cls: 0.0619, s1.acc: 95.2944, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1069, s2.loss_cls: 0.0321, s2.acc: 95.0473, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0509, loss: 0.9975 2023-11-14 01:30:39,245 - mmdet - INFO - Epoch [7][1450/7330] lr: 9.525e-06, eta: 7:52:02, time: 0.665, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1264, s0.acc: 95.3298, s0.loss_bbox: 0.2161, s0.loss_mask: 0.2056, s1.loss_cls: 0.0614, s1.acc: 95.3954, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1050, s2.loss_cls: 0.0321, s2.acc: 95.1395, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0501, loss: 0.9817 2023-11-14 01:31:12,625 - mmdet - INFO - Epoch [7][1500/7330] lr: 9.525e-06, eta: 7:51:28, time: 0.668, data_time: 0.019, memory: 30145, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1313, s0.acc: 95.0896, s0.loss_bbox: 0.2249, s0.loss_mask: 0.2124, s1.loss_cls: 0.0632, s1.acc: 95.1958, s1.loss_bbox: 0.1073, s1.loss_mask: 0.1085, s2.loss_cls: 0.0329, s2.acc: 94.9720, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0520, loss: 1.0204 2023-11-14 01:31:45,697 - mmdet - INFO - Epoch [7][1550/7330] lr: 9.525e-06, eta: 7:50:55, time: 0.661, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1226, s0.acc: 95.3638, s0.loss_bbox: 0.2095, s0.loss_mask: 0.2050, s1.loss_cls: 0.0596, s1.acc: 95.4675, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1051, s2.loss_cls: 0.0310, s2.acc: 95.2304, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0503, loss: 0.9626 2023-11-14 01:32:19,368 - mmdet - INFO - Epoch [7][1600/7330] lr: 9.525e-06, eta: 7:50:22, time: 0.673, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1246, s0.acc: 95.2932, s0.loss_bbox: 0.2128, s0.loss_mask: 0.2069, s1.loss_cls: 0.0609, s1.acc: 95.3959, s1.loss_bbox: 0.1015, s1.loss_mask: 0.1049, s2.loss_cls: 0.0318, s2.acc: 95.0502, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0501, loss: 0.9753 2023-11-14 01:32:53,267 - mmdet - INFO - Epoch [7][1650/7330] lr: 9.525e-06, eta: 7:49:49, time: 0.678, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1308, s0.acc: 94.9631, s0.loss_bbox: 0.2300, s0.loss_mask: 0.2061, s1.loss_cls: 0.0634, s1.acc: 95.0392, s1.loss_bbox: 0.1097, s1.loss_mask: 0.1057, s2.loss_cls: 0.0333, s2.acc: 94.7242, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0504, loss: 1.0140 2023-11-14 01:33:26,707 - mmdet - INFO - Epoch [7][1700/7330] lr: 9.525e-06, eta: 7:49:16, time: 0.669, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1277, s0.acc: 95.1968, s0.loss_bbox: 0.2193, s0.loss_mask: 0.2036, s1.loss_cls: 0.0620, s1.acc: 95.2528, s1.loss_bbox: 0.1045, s1.loss_mask: 0.1043, s2.loss_cls: 0.0322, s2.acc: 94.9624, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0496, loss: 0.9876 2023-11-14 01:33:59,974 - mmdet - INFO - Epoch [7][1750/7330] lr: 9.525e-06, eta: 7:48:43, time: 0.665, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1263, s0.acc: 95.1787, s0.loss_bbox: 0.2255, s0.loss_mask: 0.2104, s1.loss_cls: 0.0607, s1.acc: 95.2761, s1.loss_bbox: 0.1069, s1.loss_mask: 0.1080, s2.loss_cls: 0.0312, s2.acc: 95.0533, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0514, loss: 1.0041 2023-11-14 01:34:33,670 - mmdet - INFO - Epoch [7][1800/7330] lr: 9.525e-06, eta: 7:48:10, time: 0.674, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1255, s0.acc: 95.3579, s0.loss_bbox: 0.2180, s0.loss_mask: 0.2069, s1.loss_cls: 0.0604, s1.acc: 95.5109, s1.loss_bbox: 0.1044, s1.loss_mask: 0.1063, s2.loss_cls: 0.0317, s2.acc: 95.1897, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0509, loss: 0.9866 2023-11-14 01:35:06,833 - mmdet - INFO - Epoch [7][1850/7330] lr: 9.525e-06, eta: 7:47:36, time: 0.663, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1151, s0.acc: 95.5400, s0.loss_bbox: 0.2116, s0.loss_mask: 0.2075, s1.loss_cls: 0.0566, s1.acc: 95.5445, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1063, s2.loss_cls: 0.0298, s2.acc: 95.2821, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0507, loss: 0.9567 2023-11-14 01:35:40,229 - mmdet - INFO - Epoch [7][1900/7330] lr: 9.525e-06, eta: 7:47:03, time: 0.668, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1292, s0.acc: 95.1804, s0.loss_bbox: 0.2206, s0.loss_mask: 0.2038, s1.loss_cls: 0.0624, s1.acc: 95.2277, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1045, s2.loss_cls: 0.0321, s2.acc: 95.0569, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0499, loss: 0.9897 2023-11-14 01:36:13,180 - mmdet - INFO - Epoch [7][1950/7330] lr: 9.525e-06, eta: 7:46:29, time: 0.659, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1238, s0.acc: 95.3196, s0.loss_bbox: 0.2192, s0.loss_mask: 0.2055, s1.loss_cls: 0.0586, s1.acc: 95.4825, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1051, s2.loss_cls: 0.0304, s2.acc: 95.1824, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0503, loss: 0.9815 2023-11-14 01:36:46,580 - mmdet - INFO - Epoch [7][2000/7330] lr: 9.525e-06, eta: 7:45:56, time: 0.668, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1230, s0.acc: 95.3560, s0.loss_bbox: 0.2156, s0.loss_mask: 0.2046, s1.loss_cls: 0.0592, s1.acc: 95.4934, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1045, s2.loss_cls: 0.0315, s2.acc: 95.1215, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0499, loss: 0.9718 2023-11-14 01:37:19,965 - mmdet - INFO - Epoch [7][2050/7330] lr: 9.525e-06, eta: 7:45:23, time: 0.668, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1188, s0.acc: 95.5862, s0.loss_bbox: 0.2078, s0.loss_mask: 0.2028, s1.loss_cls: 0.0581, s1.acc: 95.6009, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1039, s2.loss_cls: 0.0299, s2.acc: 95.3626, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0496, loss: 0.9480 2023-11-14 01:37:53,533 - mmdet - INFO - Epoch [7][2100/7330] lr: 9.525e-06, eta: 7:44:50, time: 0.671, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1293, s0.acc: 95.0518, s0.loss_bbox: 0.2234, s0.loss_mask: 0.2096, s1.loss_cls: 0.0634, s1.acc: 95.0846, s1.loss_bbox: 0.1061, s1.loss_mask: 0.1068, s2.loss_cls: 0.0330, s2.acc: 94.8126, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0509, loss: 1.0084 2023-11-14 01:38:26,569 - mmdet - INFO - Epoch [7][2150/7330] lr: 9.525e-06, eta: 7:44:16, time: 0.661, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1184, s0.acc: 95.5554, s0.loss_bbox: 0.2093, s0.loss_mask: 0.2032, s1.loss_cls: 0.0570, s1.acc: 95.6683, s1.loss_bbox: 0.1002, s1.loss_mask: 0.1044, s2.loss_cls: 0.0300, s2.acc: 95.3028, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0500, loss: 0.9526 2023-11-14 01:39:00,038 - mmdet - INFO - Epoch [7][2200/7330] lr: 9.525e-06, eta: 7:43:43, time: 0.669, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1333, s0.acc: 94.9719, s0.loss_bbox: 0.2293, s0.loss_mask: 0.2095, s1.loss_cls: 0.0637, s1.acc: 95.1096, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1065, s2.loss_cls: 0.0335, s2.acc: 94.7642, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0508, loss: 1.0212 2023-11-14 01:39:33,493 - mmdet - INFO - Epoch [7][2250/7330] lr: 9.525e-06, eta: 7:43:10, time: 0.669, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1289, s0.acc: 95.1206, s0.loss_bbox: 0.2250, s0.loss_mask: 0.2051, s1.loss_cls: 0.0618, s1.acc: 95.3358, s1.loss_bbox: 0.1068, s1.loss_mask: 0.1046, s2.loss_cls: 0.0326, s2.acc: 94.9224, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0502, loss: 0.9994 2023-11-14 01:40:06,919 - mmdet - INFO - Epoch [7][2300/7330] lr: 9.525e-06, eta: 7:42:37, time: 0.668, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1248, s0.acc: 95.2458, s0.loss_bbox: 0.2132, s0.loss_mask: 0.2032, s1.loss_cls: 0.0604, s1.acc: 95.3004, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1037, s2.loss_cls: 0.0312, s2.acc: 95.0576, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0499, loss: 0.9693 2023-11-14 01:40:40,158 - mmdet - INFO - Epoch [7][2350/7330] lr: 9.525e-06, eta: 7:42:04, time: 0.665, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1245, s0.acc: 95.2812, s0.loss_bbox: 0.2190, s0.loss_mask: 0.2038, s1.loss_cls: 0.0594, s1.acc: 95.4243, s1.loss_bbox: 0.1038, s1.loss_mask: 0.1051, s2.loss_cls: 0.0309, s2.acc: 95.1953, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0505, loss: 0.9794 2023-11-14 01:41:13,644 - mmdet - INFO - Epoch [7][2400/7330] lr: 9.525e-06, eta: 7:41:30, time: 0.670, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1266, s0.acc: 95.2073, s0.loss_bbox: 0.2199, s0.loss_mask: 0.2034, s1.loss_cls: 0.0615, s1.acc: 95.3288, s1.loss_bbox: 0.1044, s1.loss_mask: 0.1051, s2.loss_cls: 0.0322, s2.acc: 95.0377, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0504, loss: 0.9886 2023-11-14 01:41:46,667 - mmdet - INFO - Epoch [7][2450/7330] lr: 9.525e-06, eta: 7:40:57, time: 0.661, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1201, s0.acc: 95.5005, s0.loss_bbox: 0.2085, s0.loss_mask: 0.2011, s1.loss_cls: 0.0572, s1.acc: 95.7043, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1024, s2.loss_cls: 0.0298, s2.acc: 95.3940, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0488, loss: 0.9464 2023-11-14 01:42:19,728 - mmdet - INFO - Epoch [7][2500/7330] lr: 9.525e-06, eta: 7:40:23, time: 0.661, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1220, s0.acc: 95.3660, s0.loss_bbox: 0.2141, s0.loss_mask: 0.2047, s1.loss_cls: 0.0589, s1.acc: 95.4370, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1051, s2.loss_cls: 0.0304, s2.acc: 95.1758, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0505, loss: 0.9680 2023-11-14 01:42:53,050 - mmdet - INFO - Epoch [7][2550/7330] lr: 9.525e-06, eta: 7:39:50, time: 0.666, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1274, s0.acc: 95.2358, s0.loss_bbox: 0.2185, s0.loss_mask: 0.2098, s1.loss_cls: 0.0617, s1.acc: 95.3461, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1075, s2.loss_cls: 0.0318, s2.acc: 95.0640, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0510, loss: 0.9969 2023-11-14 01:43:26,172 - mmdet - INFO - Epoch [7][2600/7330] lr: 9.525e-06, eta: 7:39:17, time: 0.662, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1237, s0.acc: 95.3137, s0.loss_bbox: 0.2154, s0.loss_mask: 0.2034, s1.loss_cls: 0.0599, s1.acc: 95.3810, s1.loss_bbox: 0.1030, s1.loss_mask: 0.1047, s2.loss_cls: 0.0311, s2.acc: 95.0140, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0503, loss: 0.9748 2023-11-14 01:43:59,192 - mmdet - INFO - Epoch [7][2650/7330] lr: 9.525e-06, eta: 7:38:43, time: 0.660, data_time: 0.026, memory: 30145, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1281, s0.acc: 95.1550, s0.loss_bbox: 0.2182, s0.loss_mask: 0.2081, s1.loss_cls: 0.0634, s1.acc: 95.1315, s1.loss_bbox: 0.1044, s1.loss_mask: 0.1066, s2.loss_cls: 0.0327, s2.acc: 94.8668, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0510, loss: 0.9955 2023-11-14 01:44:32,531 - mmdet - INFO - Epoch [7][2700/7330] lr: 9.525e-06, eta: 7:38:10, time: 0.667, data_time: 0.018, memory: 30145, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1191, s0.acc: 95.4956, s0.loss_bbox: 0.2086, s0.loss_mask: 0.2015, s1.loss_cls: 0.0579, s1.acc: 95.5655, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1030, s2.loss_cls: 0.0304, s2.acc: 95.2120, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0496, loss: 0.9500 2023-11-14 01:45:06,038 - mmdet - INFO - Epoch [7][2750/7330] lr: 9.525e-06, eta: 7:37:37, time: 0.670, data_time: 0.028, memory: 30145, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1288, s0.acc: 95.0479, s0.loss_bbox: 0.2249, s0.loss_mask: 0.2065, s1.loss_cls: 0.0629, s1.acc: 95.1143, s1.loss_bbox: 0.1059, s1.loss_mask: 0.1047, s2.loss_cls: 0.0326, s2.acc: 94.7969, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0504, loss: 1.0023 2023-11-14 01:45:39,369 - mmdet - INFO - Epoch [7][2800/7330] lr: 9.525e-06, eta: 7:37:04, time: 0.667, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1202, s0.acc: 95.4087, s0.loss_bbox: 0.2119, s0.loss_mask: 0.2058, s1.loss_cls: 0.0583, s1.acc: 95.4989, s1.loss_bbox: 0.1020, s1.loss_mask: 0.1052, s2.loss_cls: 0.0305, s2.acc: 95.2664, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0500, loss: 0.9684 2023-11-14 01:46:12,534 - mmdet - INFO - Epoch [7][2850/7330] lr: 9.525e-06, eta: 7:36:30, time: 0.663, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1206, s0.acc: 95.4094, s0.loss_bbox: 0.2128, s0.loss_mask: 0.2035, s1.loss_cls: 0.0578, s1.acc: 95.5632, s1.loss_bbox: 0.1014, s1.loss_mask: 0.1047, s2.loss_cls: 0.0303, s2.acc: 95.3956, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0501, loss: 0.9597 2023-11-14 01:46:45,443 - mmdet - INFO - Epoch [7][2900/7330] lr: 9.525e-06, eta: 7:35:56, time: 0.658, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1207, s0.acc: 95.4431, s0.loss_bbox: 0.2096, s0.loss_mask: 0.2048, s1.loss_cls: 0.0587, s1.acc: 95.5155, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1047, s2.loss_cls: 0.0306, s2.acc: 95.2311, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0502, loss: 0.9607 2023-11-14 01:47:18,454 - mmdet - INFO - Epoch [7][2950/7330] lr: 9.525e-06, eta: 7:35:23, time: 0.660, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0206, s0.loss_cls: 0.1250, s0.acc: 95.1882, s0.loss_bbox: 0.2185, s0.loss_mask: 0.2022, s1.loss_cls: 0.0611, s1.acc: 95.2768, s1.loss_bbox: 0.1039, s1.loss_mask: 0.1039, s2.loss_cls: 0.0316, s2.acc: 95.0335, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0497, loss: 0.9764 2023-11-14 01:47:51,386 - mmdet - INFO - Epoch [7][3000/7330] lr: 9.525e-06, eta: 7:34:49, time: 0.659, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1268, s0.acc: 95.2131, s0.loss_bbox: 0.2197, s0.loss_mask: 0.2085, s1.loss_cls: 0.0623, s1.acc: 95.2291, s1.loss_bbox: 0.1032, s1.loss_mask: 0.1066, s2.loss_cls: 0.0320, s2.acc: 94.9530, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0510, loss: 0.9926 2023-11-14 01:48:24,376 - mmdet - INFO - Epoch [7][3050/7330] lr: 9.525e-06, eta: 7:34:16, time: 0.660, data_time: 0.026, memory: 30145, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1256, s0.acc: 95.3103, s0.loss_bbox: 0.2176, s0.loss_mask: 0.2071, s1.loss_cls: 0.0602, s1.acc: 95.3807, s1.loss_bbox: 0.1040, s1.loss_mask: 0.1062, s2.loss_cls: 0.0312, s2.acc: 95.1044, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0509, loss: 0.9864 2023-11-14 01:48:57,728 - mmdet - INFO - Epoch [7][3100/7330] lr: 9.525e-06, eta: 7:33:42, time: 0.667, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1254, s0.acc: 95.2480, s0.loss_bbox: 0.2192, s0.loss_mask: 0.2044, s1.loss_cls: 0.0614, s1.acc: 95.2402, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1044, s2.loss_cls: 0.0324, s2.acc: 94.9213, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0497, loss: 0.9846 2023-11-14 01:49:30,894 - mmdet - INFO - Epoch [7][3150/7330] lr: 9.525e-06, eta: 7:33:09, time: 0.663, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1291, s0.acc: 95.1440, s0.loss_bbox: 0.2248, s0.loss_mask: 0.2112, s1.loss_cls: 0.0623, s1.acc: 95.2558, s1.loss_bbox: 0.1071, s1.loss_mask: 0.1076, s2.loss_cls: 0.0325, s2.acc: 94.9644, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0515, loss: 1.0138 2023-11-14 01:50:03,959 - mmdet - INFO - Epoch [7][3200/7330] lr: 9.525e-06, eta: 7:32:36, time: 0.661, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1230, s0.acc: 95.3879, s0.loss_bbox: 0.2121, s0.loss_mask: 0.2041, s1.loss_cls: 0.0606, s1.acc: 95.4044, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1051, s2.loss_cls: 0.0321, s2.acc: 95.0723, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0504, loss: 0.9714 2023-11-14 01:50:37,247 - mmdet - INFO - Epoch [7][3250/7330] lr: 9.525e-06, eta: 7:32:02, time: 0.666, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1221, s0.acc: 95.3867, s0.loss_bbox: 0.2126, s0.loss_mask: 0.2071, s1.loss_cls: 0.0591, s1.acc: 95.5169, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1050, s2.loss_cls: 0.0305, s2.acc: 95.3206, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0505, loss: 0.9677 2023-11-14 01:51:10,005 - mmdet - INFO - Epoch [7][3300/7330] lr: 9.525e-06, eta: 7:31:29, time: 0.655, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1233, s0.acc: 95.3894, s0.loss_bbox: 0.2070, s0.loss_mask: 0.2020, s1.loss_cls: 0.0598, s1.acc: 95.4450, s1.loss_bbox: 0.0987, s1.loss_mask: 0.1033, s2.loss_cls: 0.0309, s2.acc: 95.1374, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0495, loss: 0.9553 2023-11-14 01:51:43,308 - mmdet - INFO - Epoch [7][3350/7330] lr: 9.525e-06, eta: 7:30:55, time: 0.666, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1277, s0.acc: 95.2915, s0.loss_bbox: 0.2116, s0.loss_mask: 0.1980, s1.loss_cls: 0.0611, s1.acc: 95.4155, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1020, s2.loss_cls: 0.0312, s2.acc: 95.2098, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0494, loss: 0.9611 2023-11-14 01:52:16,481 - mmdet - INFO - Epoch [7][3400/7330] lr: 9.525e-06, eta: 7:30:22, time: 0.663, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1222, s0.acc: 95.3865, s0.loss_bbox: 0.2163, s0.loss_mask: 0.2093, s1.loss_cls: 0.0594, s1.acc: 95.4274, s1.loss_bbox: 0.1040, s1.loss_mask: 0.1074, s2.loss_cls: 0.0309, s2.acc: 95.1440, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0511, loss: 0.9853 2023-11-14 01:52:49,553 - mmdet - INFO - Epoch [7][3450/7330] lr: 9.525e-06, eta: 7:29:48, time: 0.661, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1275, s0.acc: 95.1792, s0.loss_bbox: 0.2192, s0.loss_mask: 0.2031, s1.loss_cls: 0.0607, s1.acc: 95.3395, s1.loss_bbox: 0.1045, s1.loss_mask: 0.1044, s2.loss_cls: 0.0313, s2.acc: 95.1500, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0497, loss: 0.9856 2023-11-14 01:53:23,051 - mmdet - INFO - Epoch [7][3500/7330] lr: 9.525e-06, eta: 7:29:15, time: 0.670, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1233, s0.acc: 95.2683, s0.loss_bbox: 0.2169, s0.loss_mask: 0.2064, s1.loss_cls: 0.0590, s1.acc: 95.3891, s1.loss_bbox: 0.1031, s1.loss_mask: 0.1064, s2.loss_cls: 0.0311, s2.acc: 95.0595, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0511, loss: 0.9801 2023-11-14 01:53:56,491 - mmdet - INFO - Epoch [7][3550/7330] lr: 9.525e-06, eta: 7:28:42, time: 0.669, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1283, s0.acc: 95.1335, s0.loss_bbox: 0.2242, s0.loss_mask: 0.2118, s1.loss_cls: 0.0611, s1.acc: 95.2459, s1.loss_bbox: 0.1071, s1.loss_mask: 0.1079, s2.loss_cls: 0.0323, s2.acc: 94.9330, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0516, loss: 1.0091 2023-11-14 01:54:29,769 - mmdet - INFO - Epoch [7][3600/7330] lr: 9.525e-06, eta: 7:28:09, time: 0.666, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1301, s0.acc: 95.0674, s0.loss_bbox: 0.2204, s0.loss_mask: 0.2081, s1.loss_cls: 0.0631, s1.acc: 95.1628, s1.loss_bbox: 0.1052, s1.loss_mask: 0.1066, s2.loss_cls: 0.0328, s2.acc: 94.9978, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0509, loss: 1.0011 2023-11-14 01:55:03,093 - mmdet - INFO - Epoch [7][3650/7330] lr: 9.525e-06, eta: 7:27:35, time: 0.666, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1252, s0.acc: 95.2415, s0.loss_bbox: 0.2157, s0.loss_mask: 0.2015, s1.loss_cls: 0.0605, s1.acc: 95.3462, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1043, s2.loss_cls: 0.0319, s2.acc: 95.0663, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0497, loss: 0.9746 2023-11-14 01:55:36,115 - mmdet - INFO - Epoch [7][3700/7330] lr: 9.525e-06, eta: 7:27:02, time: 0.660, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1232, s0.acc: 95.4006, s0.loss_bbox: 0.2136, s0.loss_mask: 0.2012, s1.loss_cls: 0.0595, s1.acc: 95.4819, s1.loss_bbox: 0.1021, s1.loss_mask: 0.1041, s2.loss_cls: 0.0308, s2.acc: 95.2776, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0499, loss: 0.9672 2023-11-14 01:56:09,181 - mmdet - INFO - Epoch [7][3750/7330] lr: 9.525e-06, eta: 7:26:28, time: 0.661, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1248, s0.acc: 95.3442, s0.loss_bbox: 0.2160, s0.loss_mask: 0.2058, s1.loss_cls: 0.0608, s1.acc: 95.3874, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1059, s2.loss_cls: 0.0318, s2.acc: 95.0509, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0508, loss: 0.9819 2023-11-14 01:56:41,899 - mmdet - INFO - Epoch [7][3800/7330] lr: 9.525e-06, eta: 7:25:55, time: 0.654, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1250, s0.acc: 95.2710, s0.loss_bbox: 0.2156, s0.loss_mask: 0.2074, s1.loss_cls: 0.0610, s1.acc: 95.3308, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1062, s2.loss_cls: 0.0318, s2.acc: 95.0790, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0508, loss: 0.9840 2023-11-14 01:57:14,910 - mmdet - INFO - Epoch [7][3850/7330] lr: 9.525e-06, eta: 7:25:21, time: 0.660, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1260, s0.acc: 95.1863, s0.loss_bbox: 0.2177, s0.loss_mask: 0.2083, s1.loss_cls: 0.0622, s1.acc: 95.2295, s1.loss_bbox: 0.1032, s1.loss_mask: 0.1071, s2.loss_cls: 0.0323, s2.acc: 94.9403, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0514, loss: 0.9909 2023-11-14 01:57:48,025 - mmdet - INFO - Epoch [7][3900/7330] lr: 9.525e-06, eta: 7:24:48, time: 0.662, data_time: 0.026, memory: 30145, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1194, s0.acc: 95.5430, s0.loss_bbox: 0.2110, s0.loss_mask: 0.2055, s1.loss_cls: 0.0574, s1.acc: 95.5905, s1.loss_bbox: 0.0999, s1.loss_mask: 0.1044, s2.loss_cls: 0.0293, s2.acc: 95.4284, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0499, loss: 0.9574 2023-11-14 01:58:21,345 - mmdet - INFO - Epoch [7][3950/7330] lr: 9.525e-06, eta: 7:24:14, time: 0.666, data_time: 0.026, memory: 30145, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1240, s0.acc: 95.2764, s0.loss_bbox: 0.2150, s0.loss_mask: 0.2035, s1.loss_cls: 0.0595, s1.acc: 95.2848, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1035, s2.loss_cls: 0.0308, s2.acc: 95.0786, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0495, loss: 0.9693 2023-11-14 01:58:54,700 - mmdet - INFO - Epoch [7][4000/7330] lr: 9.525e-06, eta: 7:23:41, time: 0.667, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1269, s0.acc: 95.1436, s0.loss_bbox: 0.2168, s0.loss_mask: 0.2068, s1.loss_cls: 0.0623, s1.acc: 95.2602, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1063, s2.loss_cls: 0.0319, s2.acc: 95.0826, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0508, loss: 0.9884 2023-11-14 01:59:27,560 - mmdet - INFO - Epoch [7][4050/7330] lr: 9.525e-06, eta: 7:23:08, time: 0.657, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1232, s0.acc: 95.2930, s0.loss_bbox: 0.2162, s0.loss_mask: 0.2069, s1.loss_cls: 0.0595, s1.acc: 95.4252, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1064, s2.loss_cls: 0.0308, s2.acc: 95.2232, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0507, loss: 0.9762 2023-11-14 02:00:00,244 - mmdet - INFO - Epoch [7][4100/7330] lr: 9.525e-06, eta: 7:22:34, time: 0.654, data_time: 0.019, memory: 30145, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1232, s0.acc: 95.3298, s0.loss_bbox: 0.2107, s0.loss_mask: 0.2050, s1.loss_cls: 0.0596, s1.acc: 95.4269, s1.loss_bbox: 0.0997, s1.loss_mask: 0.1048, s2.loss_cls: 0.0307, s2.acc: 95.1780, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0501, loss: 0.9619 2023-11-14 02:00:33,470 - mmdet - INFO - Epoch [7][4150/7330] lr: 9.525e-06, eta: 7:22:00, time: 0.664, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1253, s0.acc: 95.2524, s0.loss_bbox: 0.2179, s0.loss_mask: 0.2068, s1.loss_cls: 0.0613, s1.acc: 95.2663, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1065, s2.loss_cls: 0.0323, s2.acc: 94.9121, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0509, loss: 0.9879 2023-11-14 02:01:06,517 - mmdet - INFO - Epoch [7][4200/7330] lr: 9.525e-06, eta: 7:21:27, time: 0.661, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1329, s0.acc: 94.9919, s0.loss_bbox: 0.2265, s0.loss_mask: 0.2111, s1.loss_cls: 0.0650, s1.acc: 95.0395, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1071, s2.loss_cls: 0.0336, s2.acc: 94.7384, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0511, loss: 1.0214 2023-11-14 02:01:39,510 - mmdet - INFO - Epoch [7][4250/7330] lr: 9.525e-06, eta: 7:20:53, time: 0.660, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1300, s0.acc: 95.1775, s0.loss_bbox: 0.2240, s0.loss_mask: 0.2091, s1.loss_cls: 0.0636, s1.acc: 95.1778, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1075, s2.loss_cls: 0.0331, s2.acc: 94.8306, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0514, loss: 1.0091 2023-11-14 02:02:12,724 - mmdet - INFO - Epoch [7][4300/7330] lr: 9.525e-06, eta: 7:20:20, time: 0.664, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1330, s0.acc: 95.0010, s0.loss_bbox: 0.2233, s0.loss_mask: 0.2105, s1.loss_cls: 0.0646, s1.acc: 95.0351, s1.loss_bbox: 0.1059, s1.loss_mask: 0.1073, s2.loss_cls: 0.0334, s2.acc: 94.7635, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0509, loss: 1.0161 2023-11-14 02:02:45,900 - mmdet - INFO - Epoch [7][4350/7330] lr: 9.525e-06, eta: 7:19:47, time: 0.664, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1277, s0.acc: 95.2107, s0.loss_bbox: 0.2221, s0.loss_mask: 0.2085, s1.loss_cls: 0.0617, s1.acc: 95.3229, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1069, s2.loss_cls: 0.0321, s2.acc: 94.9840, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0511, loss: 1.0021 2023-11-14 02:03:18,902 - mmdet - INFO - Epoch [7][4400/7330] lr: 9.525e-06, eta: 7:19:13, time: 0.660, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1310, s0.acc: 95.0923, s0.loss_bbox: 0.2255, s0.loss_mask: 0.2083, s1.loss_cls: 0.0641, s1.acc: 95.1065, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1069, s2.loss_cls: 0.0333, s2.acc: 94.8344, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0511, loss: 1.0132 2023-11-14 02:03:52,471 - mmdet - INFO - Epoch [7][4450/7330] lr: 9.525e-06, eta: 7:18:40, time: 0.671, data_time: 0.024, memory: 30145, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1292, s0.acc: 95.0793, s0.loss_bbox: 0.2199, s0.loss_mask: 0.2114, s1.loss_cls: 0.0631, s1.acc: 95.1100, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1085, s2.loss_cls: 0.0326, s2.acc: 94.8469, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0517, loss: 1.0065 2023-11-14 02:04:25,564 - mmdet - INFO - Epoch [7][4500/7330] lr: 9.525e-06, eta: 7:18:07, time: 0.662, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1243, s0.acc: 95.3120, s0.loss_bbox: 0.2186, s0.loss_mask: 0.2080, s1.loss_cls: 0.0602, s1.acc: 95.3856, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1062, s2.loss_cls: 0.0317, s2.acc: 95.0917, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0504, loss: 0.9879 2023-11-14 02:04:58,423 - mmdet - INFO - Epoch [7][4550/7330] lr: 9.525e-06, eta: 7:17:33, time: 0.657, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1176, s0.acc: 95.5544, s0.loss_bbox: 0.2076, s0.loss_mask: 0.2040, s1.loss_cls: 0.0579, s1.acc: 95.5424, s1.loss_bbox: 0.0996, s1.loss_mask: 0.1043, s2.loss_cls: 0.0301, s2.acc: 95.1935, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0497, loss: 0.9493 2023-11-14 02:05:31,929 - mmdet - INFO - Epoch [7][4600/7330] lr: 9.525e-06, eta: 7:17:00, time: 0.670, data_time: 0.023, memory: 30145, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1269, s0.acc: 95.2451, s0.loss_bbox: 0.2158, s0.loss_mask: 0.2034, s1.loss_cls: 0.0623, s1.acc: 95.2028, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1043, s2.loss_cls: 0.0327, s2.acc: 94.7988, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0498, loss: 0.9819 2023-11-14 02:06:05,298 - mmdet - INFO - Epoch [7][4650/7330] lr: 9.525e-06, eta: 7:16:27, time: 0.667, data_time: 0.026, memory: 30145, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1264, s0.acc: 95.1731, s0.loss_bbox: 0.2220, s0.loss_mask: 0.2035, s1.loss_cls: 0.0608, s1.acc: 95.3653, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1043, s2.loss_cls: 0.0317, s2.acc: 95.0414, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0498, loss: 0.9886 2023-11-14 02:06:38,240 - mmdet - INFO - Epoch [7][4700/7330] lr: 9.525e-06, eta: 7:15:53, time: 0.659, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1260, s0.acc: 95.3035, s0.loss_bbox: 0.2144, s0.loss_mask: 0.2094, s1.loss_cls: 0.0616, s1.acc: 95.3345, s1.loss_bbox: 0.1020, s1.loss_mask: 0.1073, s2.loss_cls: 0.0318, s2.acc: 95.0903, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0510, loss: 0.9877 2023-11-14 02:07:11,614 - mmdet - INFO - Epoch [7][4750/7330] lr: 9.525e-06, eta: 7:15:20, time: 0.667, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1220, s0.acc: 95.3796, s0.loss_bbox: 0.2100, s0.loss_mask: 0.2012, s1.loss_cls: 0.0590, s1.acc: 95.4518, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1046, s2.loss_cls: 0.0309, s2.acc: 95.1496, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0504, loss: 0.9610 2023-11-14 02:07:44,905 - mmdet - INFO - Epoch [7][4800/7330] lr: 9.525e-06, eta: 7:14:46, time: 0.666, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1309, s0.acc: 95.1177, s0.loss_bbox: 0.2201, s0.loss_mask: 0.2057, s1.loss_cls: 0.0637, s1.acc: 95.2012, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1053, s2.loss_cls: 0.0325, s2.acc: 95.0551, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0503, loss: 0.9960 2023-11-14 02:08:18,066 - mmdet - INFO - Epoch [7][4850/7330] lr: 9.525e-06, eta: 7:14:13, time: 0.663, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1224, s0.acc: 95.4238, s0.loss_bbox: 0.2070, s0.loss_mask: 0.1995, s1.loss_cls: 0.0605, s1.acc: 95.3713, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1028, s2.loss_cls: 0.0318, s2.acc: 95.0382, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0491, loss: 0.9508 2023-11-14 02:08:51,202 - mmdet - INFO - Epoch [7][4900/7330] lr: 9.525e-06, eta: 7:13:40, time: 0.663, data_time: 0.020, memory: 30145, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1264, s0.acc: 95.2629, s0.loss_bbox: 0.2130, s0.loss_mask: 0.2051, s1.loss_cls: 0.0615, s1.acc: 95.3110, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1040, s2.loss_cls: 0.0322, s2.acc: 95.0870, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0496, loss: 0.9738 2023-11-14 02:09:24,221 - mmdet - INFO - Epoch [7][4950/7330] lr: 9.525e-06, eta: 7:13:06, time: 0.660, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1240, s0.acc: 95.3245, s0.loss_bbox: 0.2116, s0.loss_mask: 0.2121, s1.loss_cls: 0.0606, s1.acc: 95.3317, s1.loss_bbox: 0.1017, s1.loss_mask: 0.1081, s2.loss_cls: 0.0315, s2.acc: 95.0448, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0514, loss: 0.9809 2023-11-14 02:09:57,098 - mmdet - INFO - Epoch [7][5000/7330] lr: 9.525e-06, eta: 7:12:33, time: 0.658, data_time: 0.025, memory: 30145, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1299, s0.acc: 95.1738, s0.loss_bbox: 0.2168, s0.loss_mask: 0.2046, s1.loss_cls: 0.0628, s1.acc: 95.2217, s1.loss_bbox: 0.1038, s1.loss_mask: 0.1055, s2.loss_cls: 0.0325, s2.acc: 94.9061, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0505, loss: 0.9891 2023-11-14 02:10:30,316 - mmdet - INFO - Epoch [7][5050/7330] lr: 9.525e-06, eta: 7:11:59, time: 0.664, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0230, s0.loss_cls: 0.1287, s0.acc: 95.1143, s0.loss_bbox: 0.2197, s0.loss_mask: 0.2111, s1.loss_cls: 0.0631, s1.acc: 95.1466, s1.loss_bbox: 0.1040, s1.loss_mask: 0.1083, s2.loss_cls: 0.0326, s2.acc: 94.9258, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0517, loss: 1.0045 2023-11-14 02:11:03,450 - mmdet - INFO - Epoch [7][5100/7330] lr: 9.525e-06, eta: 7:11:26, time: 0.663, data_time: 0.019, memory: 30145, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1275, s0.acc: 95.1711, s0.loss_bbox: 0.2160, s0.loss_mask: 0.2051, s1.loss_cls: 0.0622, s1.acc: 95.2057, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1058, s2.loss_cls: 0.0325, s2.acc: 94.9126, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0505, loss: 0.9844 2023-11-14 02:11:36,889 - mmdet - INFO - Epoch [7][5150/7330] lr: 9.525e-06, eta: 7:10:53, time: 0.669, data_time: 0.022, memory: 30145, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1256, s0.acc: 95.2825, s0.loss_bbox: 0.2133, s0.loss_mask: 0.2025, s1.loss_cls: 0.0618, s1.acc: 95.2318, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1044, s2.loss_cls: 0.0319, s2.acc: 94.9650, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0504, loss: 0.9732 2023-11-14 02:12:10,344 - mmdet - INFO - Epoch [7][5200/7330] lr: 9.525e-06, eta: 7:10:19, time: 0.669, data_time: 0.021, memory: 30145, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1272, s0.acc: 95.2139, s0.loss_bbox: 0.2185, s0.loss_mask: 0.2100, s1.loss_cls: 0.0614, s1.acc: 95.3674, s1.loss_bbox: 0.1045, s1.loss_mask: 0.1076, s2.loss_cls: 0.0325, s2.acc: 94.9739, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0515, loss: 0.9993 2023-11-14 02:12:43,713 - mmdet - INFO - Epoch [7][5250/7330] lr: 9.525e-06, eta: 7:09:46, time: 0.667, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1286, s0.acc: 95.2720, s0.loss_bbox: 0.2147, s0.loss_mask: 0.2086, s1.loss_cls: 0.0631, s1.acc: 95.2980, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1082, s2.loss_cls: 0.0327, s2.acc: 94.9784, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0516, loss: 0.9931 2023-11-14 02:13:17,209 - mmdet - INFO - Epoch [7][5300/7330] lr: 9.525e-06, eta: 7:09:13, time: 0.670, data_time: 0.019, memory: 30152, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1295, s0.acc: 95.1177, s0.loss_bbox: 0.2225, s0.loss_mask: 0.2024, s1.loss_cls: 0.0635, s1.acc: 95.1909, s1.loss_bbox: 0.1073, s1.loss_mask: 0.1043, s2.loss_cls: 0.0329, s2.acc: 94.8513, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0500, loss: 0.9962 2023-11-14 02:13:50,276 - mmdet - INFO - Epoch [7][5350/7330] lr: 9.525e-06, eta: 7:08:40, time: 0.661, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1240, s0.acc: 95.3496, s0.loss_bbox: 0.2102, s0.loss_mask: 0.2053, s1.loss_cls: 0.0603, s1.acc: 95.4036, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1050, s2.loss_cls: 0.0313, s2.acc: 95.1039, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0505, loss: 0.9684 2023-11-14 02:14:23,682 - mmdet - INFO - Epoch [7][5400/7330] lr: 9.525e-06, eta: 7:08:06, time: 0.668, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0233, s0.loss_cls: 0.1314, s0.acc: 95.0176, s0.loss_bbox: 0.2265, s0.loss_mask: 0.2062, s1.loss_cls: 0.0650, s1.acc: 94.9957, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1061, s2.loss_cls: 0.0336, s2.acc: 94.7470, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0510, loss: 1.0148 2023-11-14 02:14:56,698 - mmdet - INFO - Epoch [7][5450/7330] lr: 9.525e-06, eta: 7:07:33, time: 0.660, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1217, s0.acc: 95.4297, s0.loss_bbox: 0.2176, s0.loss_mask: 0.2049, s1.loss_cls: 0.0599, s1.acc: 95.3793, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1045, s2.loss_cls: 0.0314, s2.acc: 94.9881, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0501, loss: 0.9756 2023-11-14 02:15:29,476 - mmdet - INFO - Epoch [7][5500/7330] lr: 9.525e-06, eta: 7:06:59, time: 0.656, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1212, s0.acc: 95.4907, s0.loss_bbox: 0.2111, s0.loss_mask: 0.2019, s1.loss_cls: 0.0589, s1.acc: 95.5681, s1.loss_bbox: 0.1015, s1.loss_mask: 0.1040, s2.loss_cls: 0.0308, s2.acc: 95.2270, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0499, loss: 0.9601 2023-11-14 02:16:02,853 - mmdet - INFO - Epoch [7][5550/7330] lr: 9.525e-06, eta: 7:06:26, time: 0.668, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0226, s0.loss_cls: 0.1349, s0.acc: 94.9272, s0.loss_bbox: 0.2261, s0.loss_mask: 0.2072, s1.loss_cls: 0.0653, s1.acc: 95.0066, s1.loss_bbox: 0.1082, s1.loss_mask: 0.1068, s2.loss_cls: 0.0344, s2.acc: 94.6237, s2.loss_bbox: 0.0457, s2.loss_mask: 0.0511, loss: 1.0210 2023-11-14 02:16:36,143 - mmdet - INFO - Epoch [7][5600/7330] lr: 9.525e-06, eta: 7:05:53, time: 0.666, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1235, s0.acc: 95.2666, s0.loss_bbox: 0.2198, s0.loss_mask: 0.2038, s1.loss_cls: 0.0607, s1.acc: 95.2949, s1.loss_bbox: 0.1053, s1.loss_mask: 0.1059, s2.loss_cls: 0.0318, s2.acc: 94.9478, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0506, loss: 0.9873 2023-11-14 02:17:09,312 - mmdet - INFO - Epoch [7][5650/7330] lr: 9.525e-06, eta: 7:05:19, time: 0.663, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1298, s0.acc: 95.1152, s0.loss_bbox: 0.2232, s0.loss_mask: 0.2121, s1.loss_cls: 0.0627, s1.acc: 95.2244, s1.loss_bbox: 0.1060, s1.loss_mask: 0.1089, s2.loss_cls: 0.0328, s2.acc: 94.9051, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0520, loss: 1.0127 2023-11-14 02:17:42,525 - mmdet - INFO - Epoch [7][5700/7330] lr: 9.525e-06, eta: 7:04:46, time: 0.664, data_time: 0.027, memory: 30152, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1293, s0.acc: 95.2019, s0.loss_bbox: 0.2206, s0.loss_mask: 0.2069, s1.loss_cls: 0.0616, s1.acc: 95.4243, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1057, s2.loss_cls: 0.0323, s2.acc: 95.0916, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0505, loss: 0.9944 2023-11-14 02:18:15,704 - mmdet - INFO - Epoch [7][5750/7330] lr: 9.525e-06, eta: 7:04:13, time: 0.664, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1211, s0.acc: 95.4219, s0.loss_bbox: 0.2127, s0.loss_mask: 0.2060, s1.loss_cls: 0.0588, s1.acc: 95.5347, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1053, s2.loss_cls: 0.0309, s2.acc: 95.2917, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0506, loss: 0.9670 2023-11-14 02:18:48,986 - mmdet - INFO - Epoch [7][5800/7330] lr: 9.525e-06, eta: 7:03:39, time: 0.666, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0247, s0.loss_cls: 0.1278, s0.acc: 95.1658, s0.loss_bbox: 0.2161, s0.loss_mask: 0.2093, s1.loss_cls: 0.0629, s1.acc: 95.1545, s1.loss_bbox: 0.1031, s1.loss_mask: 0.1068, s2.loss_cls: 0.0331, s2.acc: 94.8475, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0512, loss: 0.9981 2023-11-14 02:19:22,069 - mmdet - INFO - Epoch [7][5850/7330] lr: 9.525e-06, eta: 7:03:06, time: 0.662, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1271, s0.acc: 95.2500, s0.loss_bbox: 0.2206, s0.loss_mask: 0.2070, s1.loss_cls: 0.0624, s1.acc: 95.2251, s1.loss_bbox: 0.1051, s1.loss_mask: 0.1053, s2.loss_cls: 0.0322, s2.acc: 94.9920, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0503, loss: 0.9941 2023-11-14 02:19:55,213 - mmdet - INFO - Epoch [7][5900/7330] lr: 9.525e-06, eta: 7:02:32, time: 0.663, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1175, s0.acc: 95.5212, s0.loss_bbox: 0.2078, s0.loss_mask: 0.2018, s1.loss_cls: 0.0572, s1.acc: 95.5909, s1.loss_bbox: 0.0994, s1.loss_mask: 0.1044, s2.loss_cls: 0.0297, s2.acc: 95.3719, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0500, loss: 0.9486 2023-11-14 02:20:28,317 - mmdet - INFO - Epoch [7][5950/7330] lr: 9.525e-06, eta: 7:01:59, time: 0.662, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1250, s0.acc: 95.2358, s0.loss_bbox: 0.2162, s0.loss_mask: 0.2105, s1.loss_cls: 0.0623, s1.acc: 95.1917, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1077, s2.loss_cls: 0.0326, s2.acc: 94.8691, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0518, loss: 0.9942 2023-11-14 02:21:01,474 - mmdet - INFO - Epoch [7][6000/7330] lr: 9.525e-06, eta: 7:01:26, time: 0.663, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1280, s0.acc: 95.1401, s0.loss_bbox: 0.2205, s0.loss_mask: 0.2069, s1.loss_cls: 0.0618, s1.acc: 95.2560, s1.loss_bbox: 0.1061, s1.loss_mask: 0.1067, s2.loss_cls: 0.0320, s2.acc: 95.0000, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0513, loss: 0.9981 2023-11-14 02:21:34,377 - mmdet - INFO - Epoch [7][6050/7330] lr: 9.525e-06, eta: 7:00:52, time: 0.658, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1239, s0.acc: 95.3813, s0.loss_bbox: 0.2137, s0.loss_mask: 0.2029, s1.loss_cls: 0.0596, s1.acc: 95.4682, s1.loss_bbox: 0.1011, s1.loss_mask: 0.1036, s2.loss_cls: 0.0309, s2.acc: 95.2460, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0496, loss: 0.9663 2023-11-14 02:22:07,831 - mmdet - INFO - Epoch [7][6100/7330] lr: 9.525e-06, eta: 7:00:19, time: 0.669, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0238, s0.loss_cls: 0.1259, s0.acc: 95.2568, s0.loss_bbox: 0.2160, s0.loss_mask: 0.2066, s1.loss_cls: 0.0614, s1.acc: 95.3080, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1061, s2.loss_cls: 0.0321, s2.acc: 95.0204, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0507, loss: 0.9863 2023-11-14 02:22:41,097 - mmdet - INFO - Epoch [7][6150/7330] lr: 9.525e-06, eta: 6:59:46, time: 0.665, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1216, s0.acc: 95.3586, s0.loss_bbox: 0.2158, s0.loss_mask: 0.2064, s1.loss_cls: 0.0602, s1.acc: 95.2683, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1066, s2.loss_cls: 0.0315, s2.acc: 95.0182, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0510, loss: 0.9778 2023-11-14 02:23:14,057 - mmdet - INFO - Epoch [7][6200/7330] lr: 9.525e-06, eta: 6:59:12, time: 0.659, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1245, s0.acc: 95.2983, s0.loss_bbox: 0.2114, s0.loss_mask: 0.2087, s1.loss_cls: 0.0603, s1.acc: 95.3455, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1070, s2.loss_cls: 0.0313, s2.acc: 95.0955, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0510, loss: 0.9758 2023-11-14 02:23:47,449 - mmdet - INFO - Epoch [7][6250/7330] lr: 9.525e-06, eta: 6:58:39, time: 0.668, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1256, s0.acc: 95.2397, s0.loss_bbox: 0.2182, s0.loss_mask: 0.2107, s1.loss_cls: 0.0606, s1.acc: 95.3647, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1070, s2.loss_cls: 0.0314, s2.acc: 95.0450, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0514, loss: 0.9907 2023-11-14 02:24:20,727 - mmdet - INFO - Epoch [7][6300/7330] lr: 9.525e-06, eta: 6:58:06, time: 0.666, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1259, s0.acc: 95.3057, s0.loss_bbox: 0.2182, s0.loss_mask: 0.2075, s1.loss_cls: 0.0607, s1.acc: 95.3745, s1.loss_bbox: 0.1045, s1.loss_mask: 0.1057, s2.loss_cls: 0.0316, s2.acc: 95.0666, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0505, loss: 0.9897 2023-11-14 02:24:53,708 - mmdet - INFO - Epoch [7][6350/7330] lr: 9.525e-06, eta: 6:57:32, time: 0.660, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1245, s0.acc: 95.2964, s0.loss_bbox: 0.2140, s0.loss_mask: 0.2052, s1.loss_cls: 0.0604, s1.acc: 95.3380, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1051, s2.loss_cls: 0.0316, s2.acc: 95.0772, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0503, loss: 0.9752 2023-11-14 02:25:27,025 - mmdet - INFO - Epoch [7][6400/7330] lr: 9.525e-06, eta: 6:56:59, time: 0.666, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1167, s0.acc: 95.5222, s0.loss_bbox: 0.2073, s0.loss_mask: 0.2063, s1.loss_cls: 0.0567, s1.acc: 95.5627, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1067, s2.loss_cls: 0.0299, s2.acc: 95.2051, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0507, loss: 0.9519 2023-11-14 02:26:00,647 - mmdet - INFO - Epoch [7][6450/7330] lr: 9.525e-06, eta: 6:56:26, time: 0.672, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1283, s0.acc: 95.1189, s0.loss_bbox: 0.2248, s0.loss_mask: 0.2076, s1.loss_cls: 0.0617, s1.acc: 95.2189, s1.loss_bbox: 0.1063, s1.loss_mask: 0.1058, s2.loss_cls: 0.0318, s2.acc: 94.9696, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0506, loss: 1.0019 2023-11-14 02:26:33,402 - mmdet - INFO - Epoch [7][6500/7330] lr: 9.525e-06, eta: 6:55:52, time: 0.655, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1191, s0.acc: 95.5010, s0.loss_bbox: 0.2083, s0.loss_mask: 0.2003, s1.loss_cls: 0.0575, s1.acc: 95.5542, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1034, s2.loss_cls: 0.0304, s2.acc: 95.1950, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0498, loss: 0.9473 2023-11-14 02:27:06,117 - mmdet - INFO - Epoch [7][6550/7330] lr: 9.525e-06, eta: 6:55:18, time: 0.654, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1296, s0.acc: 95.1453, s0.loss_bbox: 0.2181, s0.loss_mask: 0.2086, s1.loss_cls: 0.0623, s1.acc: 95.2202, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1060, s2.loss_cls: 0.0320, s2.acc: 94.9774, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0508, loss: 0.9944 2023-11-14 02:27:38,884 - mmdet - INFO - Epoch [7][6600/7330] lr: 9.525e-06, eta: 6:54:45, time: 0.655, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0206, s0.loss_cls: 0.1188, s0.acc: 95.5078, s0.loss_bbox: 0.2067, s0.loss_mask: 0.2093, s1.loss_cls: 0.0567, s1.acc: 95.6850, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1080, s2.loss_cls: 0.0297, s2.acc: 95.4302, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0517, loss: 0.9586 2023-11-14 02:28:12,159 - mmdet - INFO - Epoch [7][6650/7330] lr: 9.525e-06, eta: 6:54:11, time: 0.666, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1307, s0.acc: 94.9875, s0.loss_bbox: 0.2252, s0.loss_mask: 0.2096, s1.loss_cls: 0.0632, s1.acc: 95.1507, s1.loss_bbox: 0.1061, s1.loss_mask: 0.1076, s2.loss_cls: 0.0324, s2.acc: 94.9174, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0514, loss: 1.0115 2023-11-14 02:28:45,254 - mmdet - INFO - Epoch [7][6700/7330] lr: 9.525e-06, eta: 6:53:38, time: 0.662, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1264, s0.acc: 95.2783, s0.loss_bbox: 0.2126, s0.loss_mask: 0.2031, s1.loss_cls: 0.0611, s1.acc: 95.3233, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1044, s2.loss_cls: 0.0317, s2.acc: 95.0472, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0497, loss: 0.9734 2023-11-14 02:29:18,174 - mmdet - INFO - Epoch [7][6750/7330] lr: 9.525e-06, eta: 6:53:04, time: 0.658, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1295, s0.acc: 95.1951, s0.loss_bbox: 0.2155, s0.loss_mask: 0.2005, s1.loss_cls: 0.0638, s1.acc: 95.2196, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1025, s2.loss_cls: 0.0330, s2.acc: 94.9215, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0488, loss: 0.9781 2023-11-14 02:29:51,587 - mmdet - INFO - Epoch [7][6800/7330] lr: 9.525e-06, eta: 6:52:31, time: 0.668, data_time: 0.019, memory: 30152, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1228, s0.acc: 95.3569, s0.loss_bbox: 0.2145, s0.loss_mask: 0.2058, s1.loss_cls: 0.0607, s1.acc: 95.3708, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1055, s2.loss_cls: 0.0313, s2.acc: 95.0829, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0503, loss: 0.9772 2023-11-14 02:30:25,073 - mmdet - INFO - Epoch [7][6850/7330] lr: 9.525e-06, eta: 6:51:58, time: 0.670, data_time: 0.028, memory: 30152, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1269, s0.acc: 95.1987, s0.loss_bbox: 0.2216, s0.loss_mask: 0.2098, s1.loss_cls: 0.0616, s1.acc: 95.2322, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1071, s2.loss_cls: 0.0319, s2.acc: 95.0203, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0506, loss: 0.9990 2023-11-14 02:30:58,187 - mmdet - INFO - Epoch [7][6900/7330] lr: 9.525e-06, eta: 6:51:25, time: 0.662, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1248, s0.acc: 95.2842, s0.loss_bbox: 0.2151, s0.loss_mask: 0.2045, s1.loss_cls: 0.0614, s1.acc: 95.2766, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1053, s2.loss_cls: 0.0320, s2.acc: 95.0204, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0501, loss: 0.9774 2023-11-14 02:31:31,138 - mmdet - INFO - Epoch [7][6950/7330] lr: 9.525e-06, eta: 6:50:51, time: 0.659, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1220, s0.acc: 95.4160, s0.loss_bbox: 0.2144, s0.loss_mask: 0.2120, s1.loss_cls: 0.0597, s1.acc: 95.4362, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1093, s2.loss_cls: 0.0316, s2.acc: 95.0384, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0523, loss: 0.9840 2023-11-14 02:32:04,395 - mmdet - INFO - Epoch [7][7000/7330] lr: 9.525e-06, eta: 6:50:18, time: 0.665, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1220, s0.acc: 95.3245, s0.loss_bbox: 0.2194, s0.loss_mask: 0.2051, s1.loss_cls: 0.0592, s1.acc: 95.4145, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1042, s2.loss_cls: 0.0309, s2.acc: 95.0820, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0498, loss: 0.9790 2023-11-14 02:32:37,756 - mmdet - INFO - Epoch [7][7050/7330] lr: 9.525e-06, eta: 6:49:45, time: 0.667, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1349, s0.acc: 95.0608, s0.loss_bbox: 0.2193, s0.loss_mask: 0.2061, s1.loss_cls: 0.0648, s1.acc: 95.1891, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1055, s2.loss_cls: 0.0334, s2.acc: 94.9697, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0506, loss: 1.0027 2023-11-14 02:33:11,244 - mmdet - INFO - Epoch [7][7100/7330] lr: 9.525e-06, eta: 6:49:11, time: 0.670, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1234, s0.acc: 95.3945, s0.loss_bbox: 0.2089, s0.loss_mask: 0.2018, s1.loss_cls: 0.0609, s1.acc: 95.3620, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1046, s2.loss_cls: 0.0318, s2.acc: 94.9961, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0498, loss: 0.9620 2023-11-14 02:33:44,469 - mmdet - INFO - Epoch [7][7150/7330] lr: 9.525e-06, eta: 6:48:38, time: 0.664, data_time: 0.026, memory: 30152, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1317, s0.acc: 95.0728, s0.loss_bbox: 0.2195, s0.loss_mask: 0.2042, s1.loss_cls: 0.0649, s1.acc: 95.0426, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1052, s2.loss_cls: 0.0335, s2.acc: 94.7927, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0499, loss: 0.9987 2023-11-14 02:34:18,075 - mmdet - INFO - Epoch [7][7200/7330] lr: 9.525e-06, eta: 6:48:05, time: 0.672, data_time: 0.025, memory: 30152, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1243, s0.acc: 95.3232, s0.loss_bbox: 0.2140, s0.loss_mask: 0.2033, s1.loss_cls: 0.0604, s1.acc: 95.4134, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1043, s2.loss_cls: 0.0312, s2.acc: 95.2458, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0503, loss: 0.9738 2023-11-14 02:34:51,255 - mmdet - INFO - Epoch [7][7250/7330] lr: 9.525e-06, eta: 6:47:32, time: 0.664, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1243, s0.acc: 95.3064, s0.loss_bbox: 0.2126, s0.loss_mask: 0.2083, s1.loss_cls: 0.0601, s1.acc: 95.3819, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1066, s2.loss_cls: 0.0306, s2.acc: 95.1923, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0507, loss: 0.9780 2023-11-14 02:35:24,912 - mmdet - INFO - Epoch [7][7300/7330] lr: 9.525e-06, eta: 6:46:59, time: 0.673, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1239, s0.acc: 95.4299, s0.loss_bbox: 0.2094, s0.loss_mask: 0.2046, s1.loss_cls: 0.0599, s1.acc: 95.4697, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1047, s2.loss_cls: 0.0311, s2.acc: 95.1751, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0501, loss: 0.9628 2023-11-14 02:35:45,289 - mmdet - INFO - Saving checkpoint at 7 epochs 2023-11-14 02:37:09,157 - mmdet - INFO - Evaluating bbox... 2023-11-14 02:37:38,338 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.541 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.731 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.589 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.362 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.588 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.705 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.660 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.660 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.660 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.477 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.707 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.820 2023-11-14 02:37:38,341 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.631 | bicycle | 0.416 | car | 0.540 | | motorcycle | 0.530 | airplane | 0.751 | bus | 0.753 | | train | 0.753 | truck | 0.486 | boat | 0.384 | | traffic light | 0.336 | fire hydrant | 0.774 | stop sign | 0.722 | | parking meter | 0.537 | bench | 0.365 | bird | 0.463 | | cat | 0.826 | dog | 0.766 | horse | 0.669 | | sheep | 0.637 | cow | 0.668 | elephant | 0.759 | | bear | 0.815 | zebra | 0.747 | giraffe | 0.772 | | backpack | 0.275 | umbrella | 0.508 | handbag | 0.269 | | tie | 0.449 | suitcase | 0.520 | frisbee | 0.726 | | skis | 0.341 | snowboard | 0.514 | sports ball | 0.529 | | kite | 0.522 | baseball bat | 0.515 | baseball glove | 0.499 | | skateboard | 0.637 | surfboard | 0.538 | tennis racket | 0.629 | | bottle | 0.515 | wine glass | 0.490 | cup | 0.562 | | fork | 0.544 | knife | 0.367 | spoon | 0.357 | | bowl | 0.521 | banana | 0.346 | apple | 0.302 | | sandwich | 0.512 | orange | 0.367 | broccoli | 0.297 | | carrot | 0.298 | hot dog | 0.515 | pizza | 0.615 | | donut | 0.599 | cake | 0.517 | chair | 0.427 | | couch | 0.511 | potted plant | 0.389 | bed | 0.572 | | dining table | 0.358 | toilet | 0.726 | tv | 0.675 | | laptop | 0.740 | mouse | 0.684 | remote | 0.529 | | keyboard | 0.610 | cell phone | 0.518 | microwave | 0.687 | | oven | 0.446 | toaster | 0.603 | sink | 0.477 | | refrigerator | 0.736 | book | 0.242 | clock | 0.554 | | vase | 0.459 | scissors | 0.520 | teddy bear | 0.639 | | hair drier | 0.402 | toothbrush | 0.470 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 02:37:38,341 - mmdet - INFO - Evaluating segm... 2023-11-14 02:38:07,962 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.471 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.708 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.513 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.270 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.508 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.667 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.406 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.624 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.740 2023-11-14 02:38:07,965 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.531 | bicycle | 0.265 | car | 0.485 | | motorcycle | 0.431 | airplane | 0.574 | bus | 0.718 | | train | 0.730 | truck | 0.466 | boat | 0.342 | | traffic light | 0.323 | fire hydrant | 0.719 | stop sign | 0.682 | | parking meter | 0.529 | bench | 0.274 | bird | 0.370 | | cat | 0.763 | dog | 0.684 | horse | 0.489 | | sheep | 0.551 | cow | 0.558 | elephant | 0.665 | | bear | 0.782 | zebra | 0.641 | giraffe | 0.587 | | backpack | 0.267 | umbrella | 0.548 | handbag | 0.245 | | tie | 0.408 | suitcase | 0.528 | frisbee | 0.677 | | skis | 0.077 | snowboard | 0.343 | sports ball | 0.507 | | kite | 0.369 | baseball bat | 0.357 | baseball glove | 0.507 | | skateboard | 0.416 | surfboard | 0.431 | tennis racket | 0.634 | | bottle | 0.477 | wine glass | 0.422 | cup | 0.547 | | fork | 0.282 | knife | 0.260 | spoon | 0.244 | | bowl | 0.473 | banana | 0.277 | apple | 0.287 | | sandwich | 0.501 | orange | 0.357 | broccoli | 0.260 | | carrot | 0.252 | hot dog | 0.409 | pizza | 0.575 | | donut | 0.581 | cake | 0.506 | chair | 0.294 | | couch | 0.415 | potted plant | 0.308 | bed | 0.428 | | dining table | 0.203 | toilet | 0.681 | tv | 0.691 | | laptop | 0.709 | mouse | 0.663 | remote | 0.446 | | keyboard | 0.569 | cell phone | 0.472 | microwave | 0.682 | | oven | 0.396 | toaster | 0.602 | sink | 0.440 | | refrigerator | 0.705 | book | 0.184 | clock | 0.552 | | vase | 0.445 | scissors | 0.369 | teddy bear | 0.576 | | hair drier | 0.366 | toothbrush | 0.303 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 02:38:08,417 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco/best_bbox_mAP_epoch_6.pth was removed 2023-11-14 02:38:16,296 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_7.pth. 2023-11-14 02:38:16,297 - mmdet - INFO - Best bbox_mAP is 0.5408 at 7 epoch. 2023-11-14 02:38:16,297 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 02:38:16,297 - mmdet - INFO - Epoch(val) [7][625] bbox_mAP: 0.5408, bbox_mAP_50: 0.7312, bbox_mAP_75: 0.5886, bbox_mAP_s: 0.3623, bbox_mAP_m: 0.5876, bbox_mAP_l: 0.7054, bbox_mAP_copypaste: 0.5408 0.7312 0.5886 0.3623 0.5876 0.7054, segm_mAP: 0.4711, segm_mAP_50: 0.7083, segm_mAP_75: 0.5128, segm_mAP_s: 0.2698, segm_mAP_m: 0.5075, segm_mAP_l: 0.6665, segm_mAP_copypaste: 0.4711 0.7083 0.5128 0.2698 0.5075 0.6665 2023-11-14 02:38:53,195 - mmdet - INFO - Epoch [8][50/7330] lr: 9.525e-06, eta: 6:45:54, time: 0.737, data_time: 0.093, memory: 30152, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1184, s0.acc: 95.5374, s0.loss_bbox: 0.2059, s0.loss_mask: 0.1959, s1.loss_cls: 0.0578, s1.acc: 95.7057, s1.loss_bbox: 0.0994, s1.loss_mask: 0.1019, s2.loss_cls: 0.0302, s2.acc: 95.3390, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0490, loss: 0.9362 2023-11-14 02:39:26,668 - mmdet - INFO - Epoch [8][100/7330] lr: 9.525e-06, eta: 6:45:21, time: 0.669, data_time: 0.026, memory: 30152, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0206, s0.loss_cls: 0.1192, s0.acc: 95.4580, s0.loss_bbox: 0.2110, s0.loss_mask: 0.2021, s1.loss_cls: 0.0576, s1.acc: 95.5618, s1.loss_bbox: 0.1020, s1.loss_mask: 0.1039, s2.loss_cls: 0.0299, s2.acc: 95.3007, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0498, loss: 0.9554 2023-11-14 02:40:00,300 - mmdet - INFO - Epoch [8][150/7330] lr: 9.525e-06, eta: 6:44:48, time: 0.673, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1168, s0.acc: 95.6201, s0.loss_bbox: 0.2077, s0.loss_mask: 0.1984, s1.loss_cls: 0.0552, s1.acc: 95.7875, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1025, s2.loss_cls: 0.0289, s2.acc: 95.5801, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0494, loss: 0.9392 2023-11-14 02:40:34,599 - mmdet - INFO - Epoch [8][200/7330] lr: 9.525e-06, eta: 6:44:15, time: 0.686, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1222, s0.acc: 95.3818, s0.loss_bbox: 0.2137, s0.loss_mask: 0.2011, s1.loss_cls: 0.0597, s1.acc: 95.3925, s1.loss_bbox: 0.1011, s1.loss_mask: 0.1034, s2.loss_cls: 0.0310, s2.acc: 95.1789, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0497, loss: 0.9659 2023-11-14 02:41:08,139 - mmdet - INFO - Epoch [8][250/7330] lr: 9.525e-06, eta: 6:43:42, time: 0.671, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0206, s0.loss_cls: 0.1181, s0.acc: 95.5259, s0.loss_bbox: 0.2157, s0.loss_mask: 0.2071, s1.loss_cls: 0.0567, s1.acc: 95.6827, s1.loss_bbox: 0.1041, s1.loss_mask: 0.1063, s2.loss_cls: 0.0295, s2.acc: 95.4132, s2.loss_bbox: 0.0452, s2.loss_mask: 0.0508, loss: 0.9706 2023-11-14 02:41:41,443 - mmdet - INFO - Epoch [8][300/7330] lr: 9.525e-06, eta: 6:43:09, time: 0.666, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1177, s0.acc: 95.5696, s0.loss_bbox: 0.2155, s0.loss_mask: 0.2031, s1.loss_cls: 0.0564, s1.acc: 95.6866, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1043, s2.loss_cls: 0.0295, s2.acc: 95.3515, s2.loss_bbox: 0.0449, s2.loss_mask: 0.0499, loss: 0.9601 2023-11-14 02:42:15,243 - mmdet - INFO - Epoch [8][350/7330] lr: 9.525e-06, eta: 6:42:36, time: 0.676, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1231, s0.acc: 95.3013, s0.loss_bbox: 0.2180, s0.loss_mask: 0.2066, s1.loss_cls: 0.0589, s1.acc: 95.4779, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1064, s2.loss_cls: 0.0307, s2.acc: 95.2060, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0509, loss: 0.9841 2023-11-14 02:42:48,938 - mmdet - INFO - Epoch [8][400/7330] lr: 9.525e-06, eta: 6:42:03, time: 0.674, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1232, s0.acc: 95.3228, s0.loss_bbox: 0.2139, s0.loss_mask: 0.2034, s1.loss_cls: 0.0585, s1.acc: 95.4836, s1.loss_bbox: 0.1018, s1.loss_mask: 0.1044, s2.loss_cls: 0.0306, s2.acc: 95.1759, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0500, loss: 0.9686 2023-11-14 02:43:22,375 - mmdet - INFO - Epoch [8][450/7330] lr: 9.525e-06, eta: 6:41:30, time: 0.669, data_time: 0.025, memory: 30152, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1154, s0.acc: 95.6118, s0.loss_bbox: 0.2122, s0.loss_mask: 0.2042, s1.loss_cls: 0.0551, s1.acc: 95.6659, s1.loss_bbox: 0.1031, s1.loss_mask: 0.1058, s2.loss_cls: 0.0288, s2.acc: 95.4013, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0509, loss: 0.9558 2023-11-14 02:43:55,227 - mmdet - INFO - Epoch [8][500/7330] lr: 9.525e-06, eta: 6:40:56, time: 0.657, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1123, s0.acc: 95.8018, s0.loss_bbox: 0.2010, s0.loss_mask: 0.2027, s1.loss_cls: 0.0547, s1.acc: 95.8495, s1.loss_bbox: 0.0969, s1.loss_mask: 0.1038, s2.loss_cls: 0.0288, s2.acc: 95.5363, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0499, loss: 0.9263 2023-11-14 02:44:28,492 - mmdet - INFO - Epoch [8][550/7330] lr: 9.525e-06, eta: 6:40:23, time: 0.665, data_time: 0.028, memory: 30152, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1247, s0.acc: 95.2896, s0.loss_bbox: 0.2207, s0.loss_mask: 0.2072, s1.loss_cls: 0.0603, s1.acc: 95.4282, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1058, s2.loss_cls: 0.0317, s2.acc: 95.0030, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0504, loss: 0.9895 2023-11-14 02:45:02,093 - mmdet - INFO - Epoch [8][600/7330] lr: 9.525e-06, eta: 6:39:50, time: 0.672, data_time: 0.025, memory: 30152, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1188, s0.acc: 95.4800, s0.loss_bbox: 0.2120, s0.loss_mask: 0.1971, s1.loss_cls: 0.0571, s1.acc: 95.7509, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1015, s2.loss_cls: 0.0299, s2.acc: 95.4688, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0486, loss: 0.9460 2023-11-14 02:45:35,057 - mmdet - INFO - Epoch [8][650/7330] lr: 9.525e-06, eta: 6:39:16, time: 0.659, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1192, s0.acc: 95.4678, s0.loss_bbox: 0.2120, s0.loss_mask: 0.2009, s1.loss_cls: 0.0588, s1.acc: 95.4904, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1035, s2.loss_cls: 0.0306, s2.acc: 95.1869, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0499, loss: 0.9565 2023-11-14 02:46:08,182 - mmdet - INFO - Epoch [8][700/7330] lr: 9.525e-06, eta: 6:38:43, time: 0.663, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1149, s0.acc: 95.6741, s0.loss_bbox: 0.2008, s0.loss_mask: 0.1976, s1.loss_cls: 0.0557, s1.acc: 95.7154, s1.loss_bbox: 0.0962, s1.loss_mask: 0.1021, s2.loss_cls: 0.0288, s2.acc: 95.5227, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0488, loss: 0.9210 2023-11-14 02:46:41,368 - mmdet - INFO - Epoch [8][750/7330] lr: 9.525e-06, eta: 6:38:10, time: 0.664, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0231, s0.loss_cls: 0.1214, s0.acc: 95.3987, s0.loss_bbox: 0.2093, s0.loss_mask: 0.2012, s1.loss_cls: 0.0591, s1.acc: 95.4680, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1033, s2.loss_cls: 0.0310, s2.acc: 95.1819, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0499, loss: 0.9587 2023-11-14 02:47:14,600 - mmdet - INFO - Epoch [8][800/7330] lr: 9.525e-06, eta: 6:37:36, time: 0.665, data_time: 0.026, memory: 30152, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1232, s0.acc: 95.3511, s0.loss_bbox: 0.2167, s0.loss_mask: 0.2000, s1.loss_cls: 0.0596, s1.acc: 95.4752, s1.loss_bbox: 0.1038, s1.loss_mask: 0.1036, s2.loss_cls: 0.0310, s2.acc: 95.2252, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0498, loss: 0.9686 2023-11-14 02:47:47,740 - mmdet - INFO - Epoch [8][850/7330] lr: 9.525e-06, eta: 6:37:03, time: 0.663, data_time: 0.025, memory: 30152, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1228, s0.acc: 95.3301, s0.loss_bbox: 0.2175, s0.loss_mask: 0.2009, s1.loss_cls: 0.0592, s1.acc: 95.4165, s1.loss_bbox: 0.1039, s1.loss_mask: 0.1033, s2.loss_cls: 0.0309, s2.acc: 95.0958, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0496, loss: 0.9691 2023-11-14 02:48:21,663 - mmdet - INFO - Epoch [8][900/7330] lr: 9.525e-06, eta: 6:36:30, time: 0.678, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1211, s0.acc: 95.4087, s0.loss_bbox: 0.2144, s0.loss_mask: 0.2052, s1.loss_cls: 0.0582, s1.acc: 95.4574, s1.loss_bbox: 0.1023, s1.loss_mask: 0.1053, s2.loss_cls: 0.0302, s2.acc: 95.2158, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0505, loss: 0.9701 2023-11-14 02:48:54,889 - mmdet - INFO - Epoch [8][950/7330] lr: 9.525e-06, eta: 6:35:57, time: 0.665, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1133, s0.acc: 95.6306, s0.loss_bbox: 0.2085, s0.loss_mask: 0.1971, s1.loss_cls: 0.0546, s1.acc: 95.7809, s1.loss_bbox: 0.1013, s1.loss_mask: 0.1022, s2.loss_cls: 0.0284, s2.acc: 95.4754, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0493, loss: 0.9337 2023-11-14 02:49:28,336 - mmdet - INFO - Epoch [8][1000/7330] lr: 9.525e-06, eta: 6:35:24, time: 0.669, data_time: 0.027, memory: 30152, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1176, s0.acc: 95.5439, s0.loss_bbox: 0.2100, s0.loss_mask: 0.1995, s1.loss_cls: 0.0562, s1.acc: 95.6256, s1.loss_bbox: 0.0996, s1.loss_mask: 0.1026, s2.loss_cls: 0.0294, s2.acc: 95.3267, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0494, loss: 0.9433 2023-11-14 02:50:02,157 - mmdet - INFO - Epoch [8][1050/7330] lr: 9.525e-06, eta: 6:34:51, time: 0.676, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1218, s0.acc: 95.3999, s0.loss_bbox: 0.2179, s0.loss_mask: 0.2050, s1.loss_cls: 0.0588, s1.acc: 95.4939, s1.loss_bbox: 0.1041, s1.loss_mask: 0.1054, s2.loss_cls: 0.0309, s2.acc: 95.2210, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0504, loss: 0.9769 2023-11-14 02:50:35,211 - mmdet - INFO - Epoch [8][1100/7330] lr: 9.525e-06, eta: 6:34:17, time: 0.661, data_time: 0.026, memory: 30152, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1254, s0.acc: 95.2231, s0.loss_bbox: 0.2191, s0.loss_mask: 0.2059, s1.loss_cls: 0.0612, s1.acc: 95.2922, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1051, s2.loss_cls: 0.0321, s2.acc: 94.9774, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0503, loss: 0.9850 2023-11-14 02:51:08,664 - mmdet - INFO - Epoch [8][1150/7330] lr: 9.525e-06, eta: 6:33:44, time: 0.669, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1188, s0.acc: 95.4771, s0.loss_bbox: 0.2129, s0.loss_mask: 0.2052, s1.loss_cls: 0.0576, s1.acc: 95.6224, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1065, s2.loss_cls: 0.0301, s2.acc: 95.2937, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0510, loss: 0.9639 2023-11-14 02:51:42,023 - mmdet - INFO - Epoch [8][1200/7330] lr: 9.525e-06, eta: 6:33:11, time: 0.667, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1215, s0.acc: 95.3962, s0.loss_bbox: 0.2152, s0.loss_mask: 0.2058, s1.loss_cls: 0.0594, s1.acc: 95.4124, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1058, s2.loss_cls: 0.0310, s2.acc: 95.1254, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0506, loss: 0.9725 2023-11-14 02:52:15,291 - mmdet - INFO - Epoch [8][1250/7330] lr: 9.525e-06, eta: 6:32:38, time: 0.665, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1196, s0.acc: 95.4167, s0.loss_bbox: 0.2175, s0.loss_mask: 0.2036, s1.loss_cls: 0.0578, s1.acc: 95.4867, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1037, s2.loss_cls: 0.0301, s2.acc: 95.2264, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0494, loss: 0.9670 2023-11-14 02:52:48,225 - mmdet - INFO - Epoch [8][1300/7330] lr: 9.525e-06, eta: 6:32:04, time: 0.659, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1166, s0.acc: 95.5640, s0.loss_bbox: 0.2072, s0.loss_mask: 0.1990, s1.loss_cls: 0.0573, s1.acc: 95.6238, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1037, s2.loss_cls: 0.0297, s2.acc: 95.3474, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0504, loss: 0.9428 2023-11-14 02:53:21,374 - mmdet - INFO - Epoch [8][1350/7330] lr: 9.525e-06, eta: 6:31:31, time: 0.663, data_time: 0.027, memory: 30152, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1188, s0.acc: 95.4941, s0.loss_bbox: 0.2129, s0.loss_mask: 0.2005, s1.loss_cls: 0.0575, s1.acc: 95.6198, s1.loss_bbox: 0.1020, s1.loss_mask: 0.1030, s2.loss_cls: 0.0303, s2.acc: 95.3867, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0498, loss: 0.9550 2023-11-14 02:53:54,782 - mmdet - INFO - Epoch [8][1400/7330] lr: 9.525e-06, eta: 6:30:58, time: 0.668, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1241, s0.acc: 95.2917, s0.loss_bbox: 0.2211, s0.loss_mask: 0.2077, s1.loss_cls: 0.0603, s1.acc: 95.3680, s1.loss_bbox: 0.1064, s1.loss_mask: 0.1065, s2.loss_cls: 0.0314, s2.acc: 95.1067, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0511, loss: 0.9920 2023-11-14 02:54:28,081 - mmdet - INFO - Epoch [8][1450/7330] lr: 9.525e-06, eta: 6:30:24, time: 0.666, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1237, s0.acc: 95.2327, s0.loss_bbox: 0.2173, s0.loss_mask: 0.2035, s1.loss_cls: 0.0602, s1.acc: 95.2654, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1043, s2.loss_cls: 0.0312, s2.acc: 95.0459, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0502, loss: 0.9771 2023-11-14 02:55:01,443 - mmdet - INFO - Epoch [8][1500/7330] lr: 9.525e-06, eta: 6:29:51, time: 0.667, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0227, s0.loss_cls: 0.1209, s0.acc: 95.4299, s0.loss_bbox: 0.2153, s0.loss_mask: 0.2036, s1.loss_cls: 0.0576, s1.acc: 95.6416, s1.loss_bbox: 0.1051, s1.loss_mask: 0.1049, s2.loss_cls: 0.0304, s2.acc: 95.2567, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0507, loss: 0.9749 2023-11-14 02:55:34,561 - mmdet - INFO - Epoch [8][1550/7330] lr: 9.525e-06, eta: 6:29:18, time: 0.662, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1159, s0.acc: 95.6216, s0.loss_bbox: 0.2071, s0.loss_mask: 0.1956, s1.loss_cls: 0.0561, s1.acc: 95.6766, s1.loss_bbox: 0.0996, s1.loss_mask: 0.1017, s2.loss_cls: 0.0294, s2.acc: 95.4014, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0487, loss: 0.9317 2023-11-14 02:56:07,803 - mmdet - INFO - Epoch [8][1600/7330] lr: 9.525e-06, eta: 6:28:44, time: 0.665, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1246, s0.acc: 95.2129, s0.loss_bbox: 0.2219, s0.loss_mask: 0.2060, s1.loss_cls: 0.0598, s1.acc: 95.2905, s1.loss_bbox: 0.1059, s1.loss_mask: 0.1056, s2.loss_cls: 0.0314, s2.acc: 95.0463, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0504, loss: 0.9889 2023-11-14 02:56:41,144 - mmdet - INFO - Epoch [8][1650/7330] lr: 9.525e-06, eta: 6:28:11, time: 0.667, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1239, s0.acc: 95.3433, s0.loss_bbox: 0.2194, s0.loss_mask: 0.2014, s1.loss_cls: 0.0595, s1.acc: 95.5271, s1.loss_bbox: 0.1031, s1.loss_mask: 0.1035, s2.loss_cls: 0.0311, s2.acc: 95.1410, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0497, loss: 0.9759 2023-11-14 02:57:14,137 - mmdet - INFO - Epoch [8][1700/7330] lr: 9.525e-06, eta: 6:27:38, time: 0.660, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1106, s0.acc: 95.8247, s0.loss_bbox: 0.2014, s0.loss_mask: 0.1977, s1.loss_cls: 0.0527, s1.acc: 95.9435, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1016, s2.loss_cls: 0.0279, s2.acc: 95.6563, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0484, loss: 0.9159 2023-11-14 02:57:47,342 - mmdet - INFO - Epoch [8][1750/7330] lr: 9.525e-06, eta: 6:27:04, time: 0.664, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1195, s0.acc: 95.4219, s0.loss_bbox: 0.2132, s0.loss_mask: 0.2038, s1.loss_cls: 0.0573, s1.acc: 95.5884, s1.loss_bbox: 0.1021, s1.loss_mask: 0.1045, s2.loss_cls: 0.0304, s2.acc: 95.2782, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0504, loss: 0.9656 2023-11-14 02:58:20,402 - mmdet - INFO - Epoch [8][1800/7330] lr: 9.525e-06, eta: 6:26:31, time: 0.661, data_time: 0.019, memory: 30152, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1199, s0.acc: 95.4697, s0.loss_bbox: 0.2137, s0.loss_mask: 0.2027, s1.loss_cls: 0.0585, s1.acc: 95.4744, s1.loss_bbox: 0.1031, s1.loss_mask: 0.1044, s2.loss_cls: 0.0305, s2.acc: 95.1847, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0501, loss: 0.9627 2023-11-14 02:58:53,391 - mmdet - INFO - Epoch [8][1850/7330] lr: 9.525e-06, eta: 6:25:58, time: 0.660, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1173, s0.acc: 95.5327, s0.loss_bbox: 0.2088, s0.loss_mask: 0.2033, s1.loss_cls: 0.0570, s1.acc: 95.6550, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1042, s2.loss_cls: 0.0297, s2.acc: 95.3606, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0499, loss: 0.9497 2023-11-14 02:59:29,268 - mmdet - INFO - Epoch [8][1900/7330] lr: 9.525e-06, eta: 6:25:26, time: 0.718, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1193, s0.acc: 95.5146, s0.loss_bbox: 0.2100, s0.loss_mask: 0.1983, s1.loss_cls: 0.0564, s1.acc: 95.6840, s1.loss_bbox: 0.1010, s1.loss_mask: 0.1017, s2.loss_cls: 0.0300, s2.acc: 95.2651, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0490, loss: 0.9482 2023-11-14 03:00:02,390 - mmdet - INFO - Epoch [8][1950/7330] lr: 9.525e-06, eta: 6:24:53, time: 0.662, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1147, s0.acc: 95.6521, s0.loss_bbox: 0.2018, s0.loss_mask: 0.2003, s1.loss_cls: 0.0561, s1.acc: 95.6957, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1029, s2.loss_cls: 0.0293, s2.acc: 95.4349, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0494, loss: 0.9287 2023-11-14 03:00:37,897 - mmdet - INFO - Epoch [8][2000/7330] lr: 9.525e-06, eta: 6:24:21, time: 0.710, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1217, s0.acc: 95.3611, s0.loss_bbox: 0.2148, s0.loss_mask: 0.2065, s1.loss_cls: 0.0592, s1.acc: 95.4410, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1062, s2.loss_cls: 0.0309, s2.acc: 95.0957, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0508, loss: 0.9746 2023-11-14 03:01:11,330 - mmdet - INFO - Epoch [8][2050/7330] lr: 9.525e-06, eta: 6:23:48, time: 0.669, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1267, s0.acc: 95.1953, s0.loss_bbox: 0.2199, s0.loss_mask: 0.2045, s1.loss_cls: 0.0618, s1.acc: 95.1824, s1.loss_bbox: 0.1053, s1.loss_mask: 0.1045, s2.loss_cls: 0.0323, s2.acc: 94.9529, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0502, loss: 0.9886 2023-11-14 03:01:44,315 - mmdet - INFO - Epoch [8][2100/7330] lr: 9.525e-06, eta: 6:23:14, time: 0.660, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1194, s0.acc: 95.5342, s0.loss_bbox: 0.2112, s0.loss_mask: 0.2012, s1.loss_cls: 0.0572, s1.acc: 95.5912, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1028, s2.loss_cls: 0.0300, s2.acc: 95.3570, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0493, loss: 0.9523 2023-11-14 03:02:17,732 - mmdet - INFO - Epoch [8][2150/7330] lr: 9.525e-06, eta: 6:22:41, time: 0.668, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1169, s0.acc: 95.5479, s0.loss_bbox: 0.2043, s0.loss_mask: 0.2004, s1.loss_cls: 0.0565, s1.acc: 95.6535, s1.loss_bbox: 0.0988, s1.loss_mask: 0.1034, s2.loss_cls: 0.0299, s2.acc: 95.2593, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0498, loss: 0.9376 2023-11-14 03:02:50,813 - mmdet - INFO - Epoch [8][2200/7330] lr: 9.525e-06, eta: 6:22:08, time: 0.662, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1202, s0.acc: 95.4448, s0.loss_bbox: 0.2100, s0.loss_mask: 0.2005, s1.loss_cls: 0.0585, s1.acc: 95.4724, s1.loss_bbox: 0.1016, s1.loss_mask: 0.1040, s2.loss_cls: 0.0306, s2.acc: 95.2425, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0499, loss: 0.9552 2023-11-14 03:03:23,991 - mmdet - INFO - Epoch [8][2250/7330] lr: 9.525e-06, eta: 6:21:34, time: 0.664, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1208, s0.acc: 95.3787, s0.loss_bbox: 0.2112, s0.loss_mask: 0.2028, s1.loss_cls: 0.0583, s1.acc: 95.4471, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1047, s2.loss_cls: 0.0309, s2.acc: 95.1445, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0504, loss: 0.9630 2023-11-14 03:03:59,446 - mmdet - INFO - Epoch [8][2300/7330] lr: 9.525e-06, eta: 6:21:02, time: 0.709, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1151, s0.acc: 95.6021, s0.loss_bbox: 0.2124, s0.loss_mask: 0.2001, s1.loss_cls: 0.0548, s1.acc: 95.7473, s1.loss_bbox: 0.1014, s1.loss_mask: 0.1034, s2.loss_cls: 0.0284, s2.acc: 95.5384, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0494, loss: 0.9462 2023-11-14 03:04:32,755 - mmdet - INFO - Epoch [8][2350/7330] lr: 9.525e-06, eta: 6:20:29, time: 0.666, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1231, s0.acc: 95.3206, s0.loss_bbox: 0.2166, s0.loss_mask: 0.2027, s1.loss_cls: 0.0591, s1.acc: 95.4679, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1044, s2.loss_cls: 0.0308, s2.acc: 95.0767, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0502, loss: 0.9730 2023-11-14 03:05:05,891 - mmdet - INFO - Epoch [8][2400/7330] lr: 9.525e-06, eta: 6:19:56, time: 0.663, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1143, s0.acc: 95.5913, s0.loss_bbox: 0.2062, s0.loss_mask: 0.1999, s1.loss_cls: 0.0560, s1.acc: 95.6003, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1035, s2.loss_cls: 0.0291, s2.acc: 95.3421, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0496, loss: 0.9390 2023-11-14 03:05:39,025 - mmdet - INFO - Epoch [8][2450/7330] lr: 9.525e-06, eta: 6:19:22, time: 0.663, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1132, s0.acc: 95.7053, s0.loss_bbox: 0.2050, s0.loss_mask: 0.2002, s1.loss_cls: 0.0551, s1.acc: 95.7121, s1.loss_bbox: 0.0986, s1.loss_mask: 0.1031, s2.loss_cls: 0.0292, s2.acc: 95.3749, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0497, loss: 0.9305 2023-11-14 03:06:12,383 - mmdet - INFO - Epoch [8][2500/7330] lr: 9.525e-06, eta: 6:18:49, time: 0.667, data_time: 0.025, memory: 30152, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1201, s0.acc: 95.4077, s0.loss_bbox: 0.2135, s0.loss_mask: 0.2017, s1.loss_cls: 0.0578, s1.acc: 95.4896, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1039, s2.loss_cls: 0.0305, s2.acc: 95.1879, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0500, loss: 0.9617 2023-11-14 03:06:45,452 - mmdet - INFO - Epoch [8][2550/7330] lr: 9.525e-06, eta: 6:18:16, time: 0.661, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1172, s0.acc: 95.5273, s0.loss_bbox: 0.2115, s0.loss_mask: 0.2042, s1.loss_cls: 0.0567, s1.acc: 95.6721, s1.loss_bbox: 0.1010, s1.loss_mask: 0.1046, s2.loss_cls: 0.0292, s2.acc: 95.3920, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0499, loss: 0.9538 2023-11-14 03:07:18,317 - mmdet - INFO - Epoch [8][2600/7330] lr: 9.525e-06, eta: 6:17:42, time: 0.657, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1171, s0.acc: 95.5288, s0.loss_bbox: 0.2095, s0.loss_mask: 0.2071, s1.loss_cls: 0.0565, s1.acc: 95.6598, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1059, s2.loss_cls: 0.0295, s2.acc: 95.3423, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0510, loss: 0.9548 2023-11-14 03:07:51,504 - mmdet - INFO - Epoch [8][2650/7330] lr: 9.525e-06, eta: 6:17:09, time: 0.664, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1109, s0.acc: 95.7676, s0.loss_bbox: 0.2044, s0.loss_mask: 0.1987, s1.loss_cls: 0.0539, s1.acc: 95.8666, s1.loss_bbox: 0.0982, s1.loss_mask: 0.1013, s2.loss_cls: 0.0280, s2.acc: 95.5353, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0486, loss: 0.9229 2023-11-14 03:08:26,702 - mmdet - INFO - Epoch [8][2700/7330] lr: 9.525e-06, eta: 6:16:37, time: 0.704, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1221, s0.acc: 95.2981, s0.loss_bbox: 0.2148, s0.loss_mask: 0.2024, s1.loss_cls: 0.0597, s1.acc: 95.3156, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1034, s2.loss_cls: 0.0313, s2.acc: 95.0211, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0493, loss: 0.9676 2023-11-14 03:09:02,298 - mmdet - INFO - Epoch [8][2750/7330] lr: 9.525e-06, eta: 6:16:05, time: 0.712, data_time: 0.025, memory: 30152, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1199, s0.acc: 95.4812, s0.loss_bbox: 0.2050, s0.loss_mask: 0.2070, s1.loss_cls: 0.0582, s1.acc: 95.5686, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1064, s2.loss_cls: 0.0302, s2.acc: 95.2920, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0510, loss: 0.9554 2023-11-14 03:09:35,363 - mmdet - INFO - Epoch [8][2800/7330] lr: 9.525e-06, eta: 6:15:31, time: 0.661, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1186, s0.acc: 95.5476, s0.loss_bbox: 0.2086, s0.loss_mask: 0.1999, s1.loss_cls: 0.0571, s1.acc: 95.6269, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1039, s2.loss_cls: 0.0303, s2.acc: 95.2692, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0497, loss: 0.9465 2023-11-14 03:10:08,177 - mmdet - INFO - Epoch [8][2850/7330] lr: 9.525e-06, eta: 6:14:58, time: 0.656, data_time: 0.026, memory: 30152, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1184, s0.acc: 95.4875, s0.loss_bbox: 0.2124, s0.loss_mask: 0.2002, s1.loss_cls: 0.0567, s1.acc: 95.6357, s1.loss_bbox: 0.1031, s1.loss_mask: 0.1035, s2.loss_cls: 0.0300, s2.acc: 95.2835, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0497, loss: 0.9547 2023-11-14 03:10:41,580 - mmdet - INFO - Epoch [8][2900/7330] lr: 9.525e-06, eta: 6:14:25, time: 0.668, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1202, s0.acc: 95.4185, s0.loss_bbox: 0.2136, s0.loss_mask: 0.2017, s1.loss_cls: 0.0573, s1.acc: 95.5461, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1036, s2.loss_cls: 0.0300, s2.acc: 95.2724, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0494, loss: 0.9599 2023-11-14 03:11:16,740 - mmdet - INFO - Epoch [8][2950/7330] lr: 9.525e-06, eta: 6:13:53, time: 0.703, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1261, s0.acc: 95.2344, s0.loss_bbox: 0.2166, s0.loss_mask: 0.2045, s1.loss_cls: 0.0604, s1.acc: 95.3121, s1.loss_bbox: 0.1030, s1.loss_mask: 0.1057, s2.loss_cls: 0.0315, s2.acc: 95.0473, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0509, loss: 0.9844 2023-11-14 03:11:50,059 - mmdet - INFO - Epoch [8][3000/7330] lr: 9.525e-06, eta: 6:13:19, time: 0.666, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1204, s0.acc: 95.4224, s0.loss_bbox: 0.2167, s0.loss_mask: 0.2060, s1.loss_cls: 0.0582, s1.acc: 95.4667, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1050, s2.loss_cls: 0.0303, s2.acc: 95.2263, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0506, loss: 0.9740 2023-11-14 03:12:23,046 - mmdet - INFO - Epoch [8][3050/7330] lr: 9.525e-06, eta: 6:12:46, time: 0.660, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1205, s0.acc: 95.4773, s0.loss_bbox: 0.2145, s0.loss_mask: 0.2037, s1.loss_cls: 0.0581, s1.acc: 95.5839, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1062, s2.loss_cls: 0.0306, s2.acc: 95.2570, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0509, loss: 0.9681 2023-11-14 03:12:56,115 - mmdet - INFO - Epoch [8][3100/7330] lr: 9.525e-06, eta: 6:12:12, time: 0.661, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0206, s0.loss_cls: 0.1176, s0.acc: 95.5962, s0.loss_bbox: 0.2009, s0.loss_mask: 0.1992, s1.loss_cls: 0.0568, s1.acc: 95.7224, s1.loss_bbox: 0.0971, s1.loss_mask: 0.1023, s2.loss_cls: 0.0292, s2.acc: 95.4871, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0492, loss: 0.9308 2023-11-14 03:13:31,040 - mmdet - INFO - Epoch [8][3150/7330] lr: 9.525e-06, eta: 6:11:40, time: 0.699, data_time: 0.019, memory: 30152, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1124, s0.acc: 95.6848, s0.loss_bbox: 0.2022, s0.loss_mask: 0.1974, s1.loss_cls: 0.0546, s1.acc: 95.7308, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1019, s2.loss_cls: 0.0287, s2.acc: 95.4148, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0489, loss: 0.9191 2023-11-14 03:14:03,945 - mmdet - INFO - Epoch [8][3200/7330] lr: 9.525e-06, eta: 6:11:07, time: 0.658, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1179, s0.acc: 95.6479, s0.loss_bbox: 0.2039, s0.loss_mask: 0.1992, s1.loss_cls: 0.0565, s1.acc: 95.7498, s1.loss_bbox: 0.0986, s1.loss_mask: 0.1023, s2.loss_cls: 0.0300, s2.acc: 95.4021, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0490, loss: 0.9368 2023-11-14 03:14:37,144 - mmdet - INFO - Epoch [8][3250/7330] lr: 9.525e-06, eta: 6:10:33, time: 0.664, data_time: 0.019, memory: 30152, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1103, s0.acc: 95.8032, s0.loss_bbox: 0.1966, s0.loss_mask: 0.1924, s1.loss_cls: 0.0539, s1.acc: 95.8433, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0999, s2.loss_cls: 0.0280, s2.acc: 95.6296, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0483, loss: 0.9012 2023-11-14 03:15:10,530 - mmdet - INFO - Epoch [8][3300/7330] lr: 9.525e-06, eta: 6:10:00, time: 0.668, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1286, s0.acc: 95.1887, s0.loss_bbox: 0.2190, s0.loss_mask: 0.2056, s1.loss_cls: 0.0622, s1.acc: 95.2747, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1059, s2.loss_cls: 0.0326, s2.acc: 94.9427, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0506, loss: 0.9913 2023-11-14 03:15:43,350 - mmdet - INFO - Epoch [8][3350/7330] lr: 9.525e-06, eta: 6:09:26, time: 0.656, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1142, s0.acc: 95.6709, s0.loss_bbox: 0.2030, s0.loss_mask: 0.1995, s1.loss_cls: 0.0552, s1.acc: 95.7854, s1.loss_bbox: 0.0975, s1.loss_mask: 0.1027, s2.loss_cls: 0.0289, s2.acc: 95.4715, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0491, loss: 0.9273 2023-11-14 03:16:16,366 - mmdet - INFO - Epoch [8][3400/7330] lr: 9.525e-06, eta: 6:08:53, time: 0.660, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1219, s0.acc: 95.4336, s0.loss_bbox: 0.2173, s0.loss_mask: 0.2020, s1.loss_cls: 0.0592, s1.acc: 95.4919, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1052, s2.loss_cls: 0.0313, s2.acc: 95.1555, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0504, loss: 0.9713 2023-11-14 03:16:49,498 - mmdet - INFO - Epoch [8][3450/7330] lr: 9.525e-06, eta: 6:08:20, time: 0.663, data_time: 0.019, memory: 30152, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1137, s0.acc: 95.6965, s0.loss_bbox: 0.2044, s0.loss_mask: 0.2031, s1.loss_cls: 0.0537, s1.acc: 95.9182, s1.loss_bbox: 0.0981, s1.loss_mask: 0.1049, s2.loss_cls: 0.0284, s2.acc: 95.6726, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0504, loss: 0.9336 2023-11-14 03:17:22,546 - mmdet - INFO - Epoch [8][3500/7330] lr: 9.525e-06, eta: 6:07:46, time: 0.661, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0218, s0.loss_cls: 0.1279, s0.acc: 95.1653, s0.loss_bbox: 0.2231, s0.loss_mask: 0.2120, s1.loss_cls: 0.0619, s1.acc: 95.1815, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1086, s2.loss_cls: 0.0324, s2.acc: 94.8995, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0521, loss: 1.0078 2023-11-14 03:17:55,251 - mmdet - INFO - Epoch [8][3550/7330] lr: 9.525e-06, eta: 6:07:13, time: 0.654, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1169, s0.acc: 95.5310, s0.loss_bbox: 0.2091, s0.loss_mask: 0.1994, s1.loss_cls: 0.0583, s1.acc: 95.5395, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1033, s2.loss_cls: 0.0302, s2.acc: 95.2458, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0495, loss: 0.9455 2023-11-14 03:18:28,384 - mmdet - INFO - Epoch [8][3600/7330] lr: 9.525e-06, eta: 6:06:39, time: 0.663, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1203, s0.acc: 95.4365, s0.loss_bbox: 0.2100, s0.loss_mask: 0.2064, s1.loss_cls: 0.0590, s1.acc: 95.4459, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1056, s2.loss_cls: 0.0304, s2.acc: 95.2369, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0504, loss: 0.9639 2023-11-14 03:19:01,584 - mmdet - INFO - Epoch [8][3650/7330] lr: 9.525e-06, eta: 6:06:06, time: 0.664, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1206, s0.acc: 95.4624, s0.loss_bbox: 0.2109, s0.loss_mask: 0.2043, s1.loss_cls: 0.0586, s1.acc: 95.5084, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1047, s2.loss_cls: 0.0307, s2.acc: 95.1635, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0500, loss: 0.9603 2023-11-14 03:19:34,779 - mmdet - INFO - Epoch [8][3700/7330] lr: 9.525e-06, eta: 6:05:33, time: 0.664, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1222, s0.acc: 95.3779, s0.loss_bbox: 0.2210, s0.loss_mask: 0.2101, s1.loss_cls: 0.0594, s1.acc: 95.4803, s1.loss_bbox: 0.1052, s1.loss_mask: 0.1082, s2.loss_cls: 0.0307, s2.acc: 95.1737, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0515, loss: 0.9915 2023-11-14 03:20:07,802 - mmdet - INFO - Epoch [8][3750/7330] lr: 9.525e-06, eta: 6:04:59, time: 0.660, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1209, s0.acc: 95.3953, s0.loss_bbox: 0.2169, s0.loss_mask: 0.2054, s1.loss_cls: 0.0583, s1.acc: 95.5369, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1056, s2.loss_cls: 0.0301, s2.acc: 95.3255, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0507, loss: 0.9727 2023-11-14 03:20:40,895 - mmdet - INFO - Epoch [8][3800/7330] lr: 9.525e-06, eta: 6:04:26, time: 0.662, data_time: 0.018, memory: 30152, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1206, s0.acc: 95.5083, s0.loss_bbox: 0.2082, s0.loss_mask: 0.2010, s1.loss_cls: 0.0582, s1.acc: 95.6374, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1037, s2.loss_cls: 0.0302, s2.acc: 95.3933, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0498, loss: 0.9513 2023-11-14 03:21:14,393 - mmdet - INFO - Epoch [8][3850/7330] lr: 9.525e-06, eta: 6:03:53, time: 0.670, data_time: 0.025, memory: 30152, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0222, s0.loss_cls: 0.1260, s0.acc: 95.2700, s0.loss_bbox: 0.2201, s0.loss_mask: 0.2059, s1.loss_cls: 0.0601, s1.acc: 95.4097, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1052, s2.loss_cls: 0.0311, s2.acc: 95.1477, s2.loss_bbox: 0.0454, s2.loss_mask: 0.0507, loss: 0.9906 2023-11-14 03:21:47,924 - mmdet - INFO - Epoch [8][3900/7330] lr: 9.525e-06, eta: 6:03:19, time: 0.671, data_time: 0.020, memory: 30152, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0234, s0.loss_cls: 0.1313, s0.acc: 95.0315, s0.loss_bbox: 0.2230, s0.loss_mask: 0.2083, s1.loss_cls: 0.0644, s1.acc: 95.0876, s1.loss_bbox: 0.1056, s1.loss_mask: 0.1068, s2.loss_cls: 0.0328, s2.acc: 94.8822, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0511, loss: 1.0094 2023-11-14 03:22:21,286 - mmdet - INFO - Epoch [8][3950/7330] lr: 9.525e-06, eta: 6:02:46, time: 0.667, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0217, s0.loss_cls: 0.1240, s0.acc: 95.3953, s0.loss_bbox: 0.2146, s0.loss_mask: 0.2011, s1.loss_cls: 0.0583, s1.acc: 95.6332, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1039, s2.loss_cls: 0.0305, s2.acc: 95.2759, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0498, loss: 0.9676 2023-11-14 03:22:54,429 - mmdet - INFO - Epoch [8][4000/7330] lr: 9.525e-06, eta: 6:02:13, time: 0.663, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1208, s0.acc: 95.4714, s0.loss_bbox: 0.2105, s0.loss_mask: 0.2079, s1.loss_cls: 0.0583, s1.acc: 95.5740, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1065, s2.loss_cls: 0.0309, s2.acc: 95.1512, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0509, loss: 0.9661 2023-11-14 03:23:28,219 - mmdet - INFO - Epoch [8][4050/7330] lr: 9.525e-06, eta: 6:01:40, time: 0.676, data_time: 0.026, memory: 30152, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1290, s0.acc: 95.0471, s0.loss_bbox: 0.2235, s0.loss_mask: 0.2064, s1.loss_cls: 0.0636, s1.acc: 95.1045, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1060, s2.loss_cls: 0.0331, s2.acc: 94.8219, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0510, loss: 1.0032 2023-11-14 03:24:01,547 - mmdet - INFO - Epoch [8][4100/7330] lr: 9.525e-06, eta: 6:01:07, time: 0.667, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1190, s0.acc: 95.4998, s0.loss_bbox: 0.2067, s0.loss_mask: 0.2013, s1.loss_cls: 0.0576, s1.acc: 95.5972, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1050, s2.loss_cls: 0.0306, s2.acc: 95.2394, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0505, loss: 0.9507 2023-11-14 03:24:34,462 - mmdet - INFO - Epoch [8][4150/7330] lr: 9.525e-06, eta: 6:00:33, time: 0.658, data_time: 0.026, memory: 30152, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1153, s0.acc: 95.6785, s0.loss_bbox: 0.2024, s0.loss_mask: 0.2008, s1.loss_cls: 0.0548, s1.acc: 95.8561, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1043, s2.loss_cls: 0.0287, s2.acc: 95.5688, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0500, loss: 0.9324 2023-11-14 03:25:07,174 - mmdet - INFO - Epoch [8][4200/7330] lr: 9.525e-06, eta: 5:59:59, time: 0.654, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1221, s0.acc: 95.3213, s0.loss_bbox: 0.2114, s0.loss_mask: 0.2040, s1.loss_cls: 0.0599, s1.acc: 95.3609, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1054, s2.loss_cls: 0.0310, s2.acc: 95.1230, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0503, loss: 0.9642 2023-11-14 03:25:40,333 - mmdet - INFO - Epoch [8][4250/7330] lr: 9.525e-06, eta: 5:59:26, time: 0.663, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1223, s0.acc: 95.4773, s0.loss_bbox: 0.2112, s0.loss_mask: 0.2054, s1.loss_cls: 0.0589, s1.acc: 95.6265, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1045, s2.loss_cls: 0.0309, s2.acc: 95.3226, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0496, loss: 0.9654 2023-11-14 03:26:13,346 - mmdet - INFO - Epoch [8][4300/7330] lr: 9.525e-06, eta: 5:58:53, time: 0.660, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1158, s0.acc: 95.6650, s0.loss_bbox: 0.2046, s0.loss_mask: 0.1979, s1.loss_cls: 0.0559, s1.acc: 95.7695, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1024, s2.loss_cls: 0.0290, s2.acc: 95.4577, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0494, loss: 0.9316 2023-11-14 03:26:46,296 - mmdet - INFO - Epoch [8][4350/7330] lr: 9.525e-06, eta: 5:58:19, time: 0.659, data_time: 0.019, memory: 30152, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1170, s0.acc: 95.5762, s0.loss_bbox: 0.2075, s0.loss_mask: 0.2017, s1.loss_cls: 0.0567, s1.acc: 95.5977, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1047, s2.loss_cls: 0.0295, s2.acc: 95.3183, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0506, loss: 0.9452 2023-11-14 03:27:19,089 - mmdet - INFO - Epoch [8][4400/7330] lr: 9.525e-06, eta: 5:57:46, time: 0.656, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1167, s0.acc: 95.6052, s0.loss_bbox: 0.2068, s0.loss_mask: 0.1981, s1.loss_cls: 0.0557, s1.acc: 95.7518, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1016, s2.loss_cls: 0.0293, s2.acc: 95.5108, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0487, loss: 0.9329 2023-11-14 03:27:52,292 - mmdet - INFO - Epoch [8][4450/7330] lr: 9.525e-06, eta: 5:57:12, time: 0.664, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1236, s0.acc: 95.3157, s0.loss_bbox: 0.2168, s0.loss_mask: 0.2076, s1.loss_cls: 0.0596, s1.acc: 95.3809, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1061, s2.loss_cls: 0.0312, s2.acc: 95.0615, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0506, loss: 0.9777 2023-11-14 03:28:24,879 - mmdet - INFO - Epoch [8][4500/7330] lr: 9.525e-06, eta: 5:56:39, time: 0.652, data_time: 0.022, memory: 30152, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1189, s0.acc: 95.5466, s0.loss_bbox: 0.2035, s0.loss_mask: 0.2017, s1.loss_cls: 0.0572, s1.acc: 95.5933, s1.loss_bbox: 0.0981, s1.loss_mask: 0.1044, s2.loss_cls: 0.0299, s2.acc: 95.3516, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0503, loss: 0.9413 2023-11-14 03:28:57,846 - mmdet - INFO - Epoch [8][4550/7330] lr: 9.525e-06, eta: 5:56:05, time: 0.659, data_time: 0.027, memory: 30152, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1210, s0.acc: 95.3936, s0.loss_bbox: 0.2159, s0.loss_mask: 0.2055, s1.loss_cls: 0.0587, s1.acc: 95.5057, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1052, s2.loss_cls: 0.0308, s2.acc: 95.2143, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0503, loss: 0.9694 2023-11-14 03:29:30,987 - mmdet - INFO - Epoch [8][4600/7330] lr: 9.525e-06, eta: 5:55:32, time: 0.663, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1246, s0.acc: 95.2598, s0.loss_bbox: 0.2134, s0.loss_mask: 0.2059, s1.loss_cls: 0.0606, s1.acc: 95.3199, s1.loss_bbox: 0.1020, s1.loss_mask: 0.1064, s2.loss_cls: 0.0313, s2.acc: 95.0992, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0510, loss: 0.9765 2023-11-14 03:30:04,352 - mmdet - INFO - Epoch [8][4650/7330] lr: 9.525e-06, eta: 5:54:59, time: 0.667, data_time: 0.027, memory: 30152, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1341, s0.acc: 94.9626, s0.loss_bbox: 0.2273, s0.loss_mask: 0.2097, s1.loss_cls: 0.0642, s1.acc: 95.1098, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1072, s2.loss_cls: 0.0341, s2.acc: 94.6648, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0513, loss: 1.0231 2023-11-14 03:30:37,189 - mmdet - INFO - Epoch [8][4700/7330] lr: 9.525e-06, eta: 5:54:25, time: 0.657, data_time: 0.019, memory: 30152, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0211, s0.loss_cls: 0.1184, s0.acc: 95.5745, s0.loss_bbox: 0.2098, s0.loss_mask: 0.2011, s1.loss_cls: 0.0577, s1.acc: 95.5736, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1035, s2.loss_cls: 0.0301, s2.acc: 95.3201, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0494, loss: 0.9501 2023-11-14 03:31:10,240 - mmdet - INFO - Epoch [8][4750/7330] lr: 9.525e-06, eta: 5:53:52, time: 0.661, data_time: 0.024, memory: 30152, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1195, s0.acc: 95.4546, s0.loss_bbox: 0.2120, s0.loss_mask: 0.2018, s1.loss_cls: 0.0574, s1.acc: 95.6309, s1.loss_bbox: 0.1021, s1.loss_mask: 0.1033, s2.loss_cls: 0.0299, s2.acc: 95.3616, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0494, loss: 0.9561 2023-11-14 03:31:42,944 - mmdet - INFO - Epoch [8][4800/7330] lr: 9.525e-06, eta: 5:53:18, time: 0.654, data_time: 0.023, memory: 30152, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1163, s0.acc: 95.5928, s0.loss_bbox: 0.2080, s0.loss_mask: 0.2035, s1.loss_cls: 0.0561, s1.acc: 95.7345, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1057, s2.loss_cls: 0.0293, s2.acc: 95.4873, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0507, loss: 0.9499 2023-11-14 03:32:16,123 - mmdet - INFO - Epoch [8][4850/7330] lr: 9.525e-06, eta: 5:52:45, time: 0.664, data_time: 0.021, memory: 30152, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1144, s0.acc: 95.7568, s0.loss_bbox: 0.2062, s0.loss_mask: 0.1999, s1.loss_cls: 0.0550, s1.acc: 95.8821, s1.loss_bbox: 0.0996, s1.loss_mask: 0.1045, s2.loss_cls: 0.0285, s2.acc: 95.6416, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0503, loss: 0.9402 2023-11-14 03:32:49,089 - mmdet - INFO - Epoch [8][4900/7330] lr: 9.525e-06, eta: 5:52:11, time: 0.659, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1171, s0.acc: 95.6179, s0.loss_bbox: 0.2035, s0.loss_mask: 0.1961, s1.loss_cls: 0.0568, s1.acc: 95.6650, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1016, s2.loss_cls: 0.0298, s2.acc: 95.3380, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0488, loss: 0.9308 2023-11-14 03:33:22,321 - mmdet - INFO - Epoch [8][4950/7330] lr: 9.525e-06, eta: 5:51:38, time: 0.665, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1167, s0.acc: 95.6426, s0.loss_bbox: 0.2088, s0.loss_mask: 0.2044, s1.loss_cls: 0.0568, s1.acc: 95.6739, s1.loss_bbox: 0.1014, s1.loss_mask: 0.1054, s2.loss_cls: 0.0296, s2.acc: 95.3708, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0507, loss: 0.9536 2023-11-14 03:33:55,595 - mmdet - INFO - Epoch [8][5000/7330] lr: 9.525e-06, eta: 5:51:05, time: 0.665, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0219, s0.loss_cls: 0.1211, s0.acc: 95.3052, s0.loss_bbox: 0.2136, s0.loss_mask: 0.2024, s1.loss_cls: 0.0590, s1.acc: 95.3426, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1029, s2.loss_cls: 0.0305, s2.acc: 95.0952, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0494, loss: 0.9636 2023-11-14 03:34:28,356 - mmdet - INFO - Epoch [8][5050/7330] lr: 9.525e-06, eta: 5:50:31, time: 0.655, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1253, s0.acc: 95.3154, s0.loss_bbox: 0.2141, s0.loss_mask: 0.2031, s1.loss_cls: 0.0603, s1.acc: 95.4307, s1.loss_bbox: 0.1041, s1.loss_mask: 0.1051, s2.loss_cls: 0.0317, s2.acc: 95.0714, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0503, loss: 0.9766 2023-11-14 03:35:01,372 - mmdet - INFO - Epoch [8][5100/7330] lr: 9.525e-06, eta: 5:49:58, time: 0.660, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1252, s0.acc: 95.2717, s0.loss_bbox: 0.2201, s0.loss_mask: 0.2048, s1.loss_cls: 0.0612, s1.acc: 95.2941, s1.loss_bbox: 0.1069, s1.loss_mask: 0.1061, s2.loss_cls: 0.0319, s2.acc: 94.9675, s2.loss_bbox: 0.0460, s2.loss_mask: 0.0511, loss: 0.9904 2023-11-14 03:35:34,430 - mmdet - INFO - Epoch [8][5150/7330] lr: 9.525e-06, eta: 5:49:24, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1155, s0.acc: 95.6631, s0.loss_bbox: 0.2052, s0.loss_mask: 0.1966, s1.loss_cls: 0.0556, s1.acc: 95.7985, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1029, s2.loss_cls: 0.0294, s2.acc: 95.5520, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0494, loss: 0.9319 2023-11-14 03:36:07,479 - mmdet - INFO - Epoch [8][5200/7330] lr: 9.525e-06, eta: 5:48:51, time: 0.661, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1190, s0.acc: 95.5530, s0.loss_bbox: 0.2040, s0.loss_mask: 0.1977, s1.loss_cls: 0.0578, s1.acc: 95.5723, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1030, s2.loss_cls: 0.0303, s2.acc: 95.3095, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0495, loss: 0.9389 2023-11-14 03:36:40,568 - mmdet - INFO - Epoch [8][5250/7330] lr: 9.525e-06, eta: 5:48:17, time: 0.662, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1193, s0.acc: 95.4890, s0.loss_bbox: 0.2120, s0.loss_mask: 0.2004, s1.loss_cls: 0.0573, s1.acc: 95.6460, s1.loss_bbox: 0.1013, s1.loss_mask: 0.1027, s2.loss_cls: 0.0300, s2.acc: 95.3589, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0494, loss: 0.9530 2023-11-14 03:37:13,785 - mmdet - INFO - Epoch [8][5300/7330] lr: 9.525e-06, eta: 5:47:44, time: 0.664, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1193, s0.acc: 95.4631, s0.loss_bbox: 0.2125, s0.loss_mask: 0.1978, s1.loss_cls: 0.0576, s1.acc: 95.5553, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1028, s2.loss_cls: 0.0300, s2.acc: 95.2531, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0492, loss: 0.9528 2023-11-14 03:37:47,090 - mmdet - INFO - Epoch [8][5350/7330] lr: 9.525e-06, eta: 5:47:11, time: 0.666, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0228, s0.loss_cls: 0.1231, s0.acc: 95.3521, s0.loss_bbox: 0.2188, s0.loss_mask: 0.2062, s1.loss_cls: 0.0598, s1.acc: 95.4120, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1057, s2.loss_cls: 0.0309, s2.acc: 95.1942, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0502, loss: 0.9825 2023-11-14 03:38:20,124 - mmdet - INFO - Epoch [8][5400/7330] lr: 9.525e-06, eta: 5:46:38, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0213, s0.loss_cls: 0.1135, s0.acc: 95.7551, s0.loss_bbox: 0.1982, s0.loss_mask: 0.1990, s1.loss_cls: 0.0545, s1.acc: 95.8599, s1.loss_bbox: 0.0948, s1.loss_mask: 0.1016, s2.loss_cls: 0.0285, s2.acc: 95.6019, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0488, loss: 0.9172 2023-11-14 03:38:53,019 - mmdet - INFO - Epoch [8][5450/7330] lr: 9.525e-06, eta: 5:46:04, time: 0.658, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1226, s0.acc: 95.3440, s0.loss_bbox: 0.2126, s0.loss_mask: 0.1999, s1.loss_cls: 0.0587, s1.acc: 95.4581, s1.loss_bbox: 0.1023, s1.loss_mask: 0.1035, s2.loss_cls: 0.0305, s2.acc: 95.2406, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0497, loss: 0.9604 2023-11-14 03:39:26,492 - mmdet - INFO - Epoch [8][5500/7330] lr: 9.525e-06, eta: 5:45:31, time: 0.669, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1211, s0.acc: 95.4001, s0.loss_bbox: 0.2077, s0.loss_mask: 0.2022, s1.loss_cls: 0.0583, s1.acc: 95.4514, s1.loss_bbox: 0.0992, s1.loss_mask: 0.1040, s2.loss_cls: 0.0303, s2.acc: 95.1725, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0498, loss: 0.9530 2023-11-14 03:39:59,614 - mmdet - INFO - Epoch [8][5550/7330] lr: 9.525e-06, eta: 5:44:57, time: 0.662, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1150, s0.acc: 95.5989, s0.loss_bbox: 0.2096, s0.loss_mask: 0.1981, s1.loss_cls: 0.0552, s1.acc: 95.7109, s1.loss_bbox: 0.1014, s1.loss_mask: 0.1027, s2.loss_cls: 0.0290, s2.acc: 95.3820, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0492, loss: 0.9387 2023-11-14 03:40:32,518 - mmdet - INFO - Epoch [8][5600/7330] lr: 9.525e-06, eta: 5:44:24, time: 0.658, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1164, s0.acc: 95.6199, s0.loss_bbox: 0.2031, s0.loss_mask: 0.2009, s1.loss_cls: 0.0559, s1.acc: 95.7834, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1038, s2.loss_cls: 0.0296, s2.acc: 95.4744, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0496, loss: 0.9382 2023-11-14 03:41:05,419 - mmdet - INFO - Epoch [8][5650/7330] lr: 9.525e-06, eta: 5:43:51, time: 0.658, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1249, s0.acc: 95.2446, s0.loss_bbox: 0.2165, s0.loss_mask: 0.2087, s1.loss_cls: 0.0609, s1.acc: 95.2930, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1071, s2.loss_cls: 0.0317, s2.acc: 94.9622, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0517, loss: 0.9854 2023-11-14 03:41:38,496 - mmdet - INFO - Epoch [8][5700/7330] lr: 9.525e-06, eta: 5:43:17, time: 0.661, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1253, s0.acc: 95.2722, s0.loss_bbox: 0.2132, s0.loss_mask: 0.2088, s1.loss_cls: 0.0614, s1.acc: 95.2899, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1072, s2.loss_cls: 0.0314, s2.acc: 95.0940, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0513, loss: 0.9846 2023-11-14 03:42:11,678 - mmdet - INFO - Epoch [8][5750/7330] lr: 9.525e-06, eta: 5:42:44, time: 0.664, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1243, s0.acc: 95.3203, s0.loss_bbox: 0.2187, s0.loss_mask: 0.2018, s1.loss_cls: 0.0604, s1.acc: 95.3445, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1039, s2.loss_cls: 0.0311, s2.acc: 95.0947, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0496, loss: 0.9807 2023-11-14 03:42:44,985 - mmdet - INFO - Epoch [8][5800/7330] lr: 9.525e-06, eta: 5:42:11, time: 0.666, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0229, s0.loss_cls: 0.1302, s0.acc: 95.0205, s0.loss_bbox: 0.2265, s0.loss_mask: 0.2035, s1.loss_cls: 0.0631, s1.acc: 95.0678, s1.loss_bbox: 0.1083, s1.loss_mask: 0.1045, s2.loss_cls: 0.0335, s2.acc: 94.6976, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0501, loss: 1.0061 2023-11-14 03:43:18,115 - mmdet - INFO - Epoch [8][5850/7330] lr: 9.525e-06, eta: 5:41:37, time: 0.663, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1199, s0.acc: 95.4438, s0.loss_bbox: 0.2156, s0.loss_mask: 0.2060, s1.loss_cls: 0.0581, s1.acc: 95.5380, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1061, s2.loss_cls: 0.0303, s2.acc: 95.2662, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0509, loss: 0.9716 2023-11-14 03:43:51,299 - mmdet - INFO - Epoch [8][5900/7330] lr: 9.525e-06, eta: 5:41:04, time: 0.664, data_time: 0.018, memory: 30155, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0206, s0.loss_cls: 0.1235, s0.acc: 95.3630, s0.loss_bbox: 0.2102, s0.loss_mask: 0.2016, s1.loss_cls: 0.0616, s1.acc: 95.3027, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1032, s2.loss_cls: 0.0322, s2.acc: 94.9150, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0493, loss: 0.9635 2023-11-14 03:44:24,542 - mmdet - INFO - Epoch [8][5950/7330] lr: 9.525e-06, eta: 5:40:31, time: 0.665, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1237, s0.acc: 95.3616, s0.loss_bbox: 0.2123, s0.loss_mask: 0.2008, s1.loss_cls: 0.0593, s1.acc: 95.4491, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1042, s2.loss_cls: 0.0309, s2.acc: 95.1390, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0500, loss: 0.9615 2023-11-14 03:44:57,841 - mmdet - INFO - Epoch [8][6000/7330] lr: 9.525e-06, eta: 5:39:57, time: 0.666, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1320, s0.acc: 95.1221, s0.loss_bbox: 0.2197, s0.loss_mask: 0.2001, s1.loss_cls: 0.0635, s1.acc: 95.2502, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1036, s2.loss_cls: 0.0329, s2.acc: 95.0538, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0496, loss: 0.9897 2023-11-14 03:45:30,746 - mmdet - INFO - Epoch [8][6050/7330] lr: 9.525e-06, eta: 5:39:24, time: 0.658, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1211, s0.acc: 95.5281, s0.loss_bbox: 0.2044, s0.loss_mask: 0.2004, s1.loss_cls: 0.0595, s1.acc: 95.5617, s1.loss_bbox: 0.0991, s1.loss_mask: 0.1036, s2.loss_cls: 0.0310, s2.acc: 95.2523, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0497, loss: 0.9483 2023-11-14 03:46:03,900 - mmdet - INFO - Epoch [8][6100/7330] lr: 9.525e-06, eta: 5:38:51, time: 0.663, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1197, s0.acc: 95.4541, s0.loss_bbox: 0.2083, s0.loss_mask: 0.2021, s1.loss_cls: 0.0585, s1.acc: 95.4467, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1042, s2.loss_cls: 0.0303, s2.acc: 95.3141, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0499, loss: 0.9525 2023-11-14 03:46:37,422 - mmdet - INFO - Epoch [8][6150/7330] lr: 9.525e-06, eta: 5:38:17, time: 0.670, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1269, s0.acc: 95.1829, s0.loss_bbox: 0.2182, s0.loss_mask: 0.2002, s1.loss_cls: 0.0616, s1.acc: 95.2134, s1.loss_bbox: 0.1045, s1.loss_mask: 0.1025, s2.loss_cls: 0.0320, s2.acc: 94.9344, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0493, loss: 0.9785 2023-11-14 03:47:10,760 - mmdet - INFO - Epoch [8][6200/7330] lr: 9.525e-06, eta: 5:37:44, time: 0.667, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1196, s0.acc: 95.5120, s0.loss_bbox: 0.2088, s0.loss_mask: 0.2004, s1.loss_cls: 0.0585, s1.acc: 95.5859, s1.loss_bbox: 0.1011, s1.loss_mask: 0.1033, s2.loss_cls: 0.0305, s2.acc: 95.2494, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0494, loss: 0.9507 2023-11-14 03:47:43,580 - mmdet - INFO - Epoch [8][6250/7330] lr: 9.525e-06, eta: 5:37:11, time: 0.656, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1262, s0.acc: 95.1882, s0.loss_bbox: 0.2174, s0.loss_mask: 0.2052, s1.loss_cls: 0.0617, s1.acc: 95.2360, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1053, s2.loss_cls: 0.0324, s2.acc: 94.8331, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0504, loss: 0.9871 2023-11-14 03:48:16,396 - mmdet - INFO - Epoch [8][6300/7330] lr: 9.525e-06, eta: 5:36:37, time: 0.656, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1329, s0.acc: 94.9985, s0.loss_bbox: 0.2208, s0.loss_mask: 0.2043, s1.loss_cls: 0.0643, s1.acc: 95.1384, s1.loss_bbox: 0.1056, s1.loss_mask: 0.1047, s2.loss_cls: 0.0332, s2.acc: 94.8560, s2.loss_bbox: 0.0450, s2.loss_mask: 0.0498, loss: 0.9980 2023-11-14 03:48:49,707 - mmdet - INFO - Epoch [8][6350/7330] lr: 9.525e-06, eta: 5:36:04, time: 0.666, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0224, s0.loss_cls: 0.1206, s0.acc: 95.3823, s0.loss_bbox: 0.2132, s0.loss_mask: 0.2054, s1.loss_cls: 0.0585, s1.acc: 95.4938, s1.loss_bbox: 0.1016, s1.loss_mask: 0.1053, s2.loss_cls: 0.0307, s2.acc: 95.1061, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0506, loss: 0.9686 2023-11-14 03:49:22,685 - mmdet - INFO - Epoch [8][6400/7330] lr: 9.525e-06, eta: 5:35:30, time: 0.660, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1209, s0.acc: 95.4998, s0.loss_bbox: 0.2059, s0.loss_mask: 0.2009, s1.loss_cls: 0.0586, s1.acc: 95.5886, s1.loss_bbox: 0.0987, s1.loss_mask: 0.1033, s2.loss_cls: 0.0306, s2.acc: 95.2167, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0495, loss: 0.9463 2023-11-14 03:49:55,688 - mmdet - INFO - Epoch [8][6450/7330] lr: 9.525e-06, eta: 5:34:57, time: 0.660, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0235, s0.loss_cls: 0.1250, s0.acc: 95.2544, s0.loss_bbox: 0.2205, s0.loss_mask: 0.2077, s1.loss_cls: 0.0608, s1.acc: 95.3482, s1.loss_bbox: 0.1051, s1.loss_mask: 0.1066, s2.loss_cls: 0.0319, s2.acc: 94.9988, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0512, loss: 0.9950 2023-11-14 03:50:28,681 - mmdet - INFO - Epoch [8][6500/7330] lr: 9.525e-06, eta: 5:34:24, time: 0.660, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1267, s0.acc: 95.2153, s0.loss_bbox: 0.2145, s0.loss_mask: 0.2060, s1.loss_cls: 0.0622, s1.acc: 95.2343, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1056, s2.loss_cls: 0.0325, s2.acc: 94.8709, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0507, loss: 0.9823 2023-11-14 03:51:01,736 - mmdet - INFO - Epoch [8][6550/7330] lr: 9.525e-06, eta: 5:33:50, time: 0.661, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1233, s0.acc: 95.3179, s0.loss_bbox: 0.2167, s0.loss_mask: 0.2033, s1.loss_cls: 0.0593, s1.acc: 95.4742, s1.loss_bbox: 0.1021, s1.loss_mask: 0.1037, s2.loss_cls: 0.0308, s2.acc: 95.1486, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0496, loss: 0.9698 2023-11-14 03:51:35,234 - mmdet - INFO - Epoch [8][6600/7330] lr: 9.525e-06, eta: 5:33:17, time: 0.670, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0216, s0.loss_cls: 0.1227, s0.acc: 95.3445, s0.loss_bbox: 0.2179, s0.loss_mask: 0.2113, s1.loss_cls: 0.0593, s1.acc: 95.3814, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1074, s2.loss_cls: 0.0308, s2.acc: 95.1192, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0515, loss: 0.9855 2023-11-14 03:52:08,164 - mmdet - INFO - Epoch [8][6650/7330] lr: 9.525e-06, eta: 5:32:44, time: 0.659, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1189, s0.acc: 95.5166, s0.loss_bbox: 0.2076, s0.loss_mask: 0.2022, s1.loss_cls: 0.0574, s1.acc: 95.6043, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1046, s2.loss_cls: 0.0301, s2.acc: 95.2762, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0505, loss: 0.9496 2023-11-14 03:52:41,622 - mmdet - INFO - Epoch [8][6700/7330] lr: 9.525e-06, eta: 5:32:10, time: 0.669, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0221, s0.loss_cls: 0.1241, s0.acc: 95.2932, s0.loss_bbox: 0.2155, s0.loss_mask: 0.2045, s1.loss_cls: 0.0603, s1.acc: 95.3576, s1.loss_bbox: 0.1030, s1.loss_mask: 0.1045, s2.loss_cls: 0.0312, s2.acc: 95.1957, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0503, loss: 0.9760 2023-11-14 03:53:14,825 - mmdet - INFO - Epoch [8][6750/7330] lr: 9.525e-06, eta: 5:31:37, time: 0.664, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1259, s0.acc: 95.2803, s0.loss_bbox: 0.2161, s0.loss_mask: 0.1992, s1.loss_cls: 0.0618, s1.acc: 95.2277, s1.loss_bbox: 0.1032, s1.loss_mask: 0.1021, s2.loss_cls: 0.0318, s2.acc: 95.0973, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0489, loss: 0.9730 2023-11-14 03:53:47,818 - mmdet - INFO - Epoch [8][6800/7330] lr: 9.525e-06, eta: 5:31:04, time: 0.660, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0210, s0.loss_cls: 0.1192, s0.acc: 95.4448, s0.loss_bbox: 0.2102, s0.loss_mask: 0.2040, s1.loss_cls: 0.0579, s1.acc: 95.5462, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1044, s2.loss_cls: 0.0300, s2.acc: 95.2726, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0498, loss: 0.9562 2023-11-14 03:54:21,164 - mmdet - INFO - Epoch [8][6850/7330] lr: 9.525e-06, eta: 5:30:30, time: 0.667, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0225, s0.loss_cls: 0.1298, s0.acc: 95.1086, s0.loss_bbox: 0.2229, s0.loss_mask: 0.2068, s1.loss_cls: 0.0632, s1.acc: 95.1975, s1.loss_bbox: 0.1064, s1.loss_mask: 0.1061, s2.loss_cls: 0.0325, s2.acc: 95.0254, s2.loss_bbox: 0.0455, s2.loss_mask: 0.0504, loss: 1.0036 2023-11-14 03:54:54,020 - mmdet - INFO - Epoch [8][6900/7330] lr: 9.525e-06, eta: 5:29:57, time: 0.657, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1187, s0.acc: 95.5049, s0.loss_bbox: 0.2098, s0.loss_mask: 0.2047, s1.loss_cls: 0.0587, s1.acc: 95.5278, s1.loss_bbox: 0.1014, s1.loss_mask: 0.1056, s2.loss_cls: 0.0305, s2.acc: 95.1844, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0504, loss: 0.9570 2023-11-14 03:55:26,890 - mmdet - INFO - Epoch [8][6950/7330] lr: 9.525e-06, eta: 5:29:23, time: 0.657, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1227, s0.acc: 95.3694, s0.loss_bbox: 0.2141, s0.loss_mask: 0.2013, s1.loss_cls: 0.0593, s1.acc: 95.4615, s1.loss_bbox: 0.1030, s1.loss_mask: 0.1043, s2.loss_cls: 0.0310, s2.acc: 95.1234, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0498, loss: 0.9680 2023-11-14 03:56:00,265 - mmdet - INFO - Epoch [8][7000/7330] lr: 9.525e-06, eta: 5:28:50, time: 0.667, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0239, s0.loss_cls: 0.1305, s0.acc: 95.0793, s0.loss_bbox: 0.2213, s0.loss_mask: 0.2057, s1.loss_cls: 0.0634, s1.acc: 95.1740, s1.loss_bbox: 0.1052, s1.loss_mask: 0.1053, s2.loss_cls: 0.0324, s2.acc: 94.9537, s2.loss_bbox: 0.0451, s2.loss_mask: 0.0504, loss: 1.0015 2023-11-14 03:56:33,420 - mmdet - INFO - Epoch [8][7050/7330] lr: 9.525e-06, eta: 5:28:17, time: 0.663, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1256, s0.acc: 95.2197, s0.loss_bbox: 0.2191, s0.loss_mask: 0.2022, s1.loss_cls: 0.0624, s1.acc: 95.2485, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1046, s2.loss_cls: 0.0328, s2.acc: 94.8994, s2.loss_bbox: 0.0459, s2.loss_mask: 0.0503, loss: 0.9869 2023-11-14 03:57:06,217 - mmdet - INFO - Epoch [8][7100/7330] lr: 9.525e-06, eta: 5:27:43, time: 0.656, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0215, s0.loss_cls: 0.1162, s0.acc: 95.6348, s0.loss_bbox: 0.1992, s0.loss_mask: 0.1998, s1.loss_cls: 0.0559, s1.acc: 95.7407, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1030, s2.loss_cls: 0.0292, s2.acc: 95.4610, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0496, loss: 0.9286 2023-11-14 03:57:39,226 - mmdet - INFO - Epoch [8][7150/7330] lr: 9.525e-06, eta: 5:27:10, time: 0.660, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1226, s0.acc: 95.3350, s0.loss_bbox: 0.2164, s0.loss_mask: 0.2038, s1.loss_cls: 0.0598, s1.acc: 95.3281, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1045, s2.loss_cls: 0.0310, s2.acc: 95.0749, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0499, loss: 0.9754 2023-11-14 03:58:12,318 - mmdet - INFO - Epoch [8][7200/7330] lr: 9.525e-06, eta: 5:26:37, time: 0.662, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1189, s0.acc: 95.4417, s0.loss_bbox: 0.2080, s0.loss_mask: 0.2039, s1.loss_cls: 0.0581, s1.acc: 95.4315, s1.loss_bbox: 0.0994, s1.loss_mask: 0.1051, s2.loss_cls: 0.0307, s2.acc: 95.1353, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0502, loss: 0.9523 2023-11-14 03:58:45,787 - mmdet - INFO - Epoch [8][7250/7330] lr: 9.525e-06, eta: 5:26:03, time: 0.669, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0223, s0.loss_cls: 0.1298, s0.acc: 95.1196, s0.loss_bbox: 0.2175, s0.loss_mask: 0.2064, s1.loss_cls: 0.0630, s1.acc: 95.1622, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1060, s2.loss_cls: 0.0323, s2.acc: 94.9721, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0505, loss: 0.9916 2023-11-14 03:59:18,693 - mmdet - INFO - Epoch [8][7300/7330] lr: 9.525e-06, eta: 5:25:30, time: 0.658, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0220, s0.loss_cls: 0.1283, s0.acc: 95.1321, s0.loss_bbox: 0.2227, s0.loss_mask: 0.2079, s1.loss_cls: 0.0619, s1.acc: 95.2370, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1065, s2.loss_cls: 0.0320, s2.acc: 95.0857, s2.loss_bbox: 0.0448, s2.loss_mask: 0.0507, loss: 1.0001 2023-11-14 03:59:39,138 - mmdet - INFO - Saving checkpoint at 8 epochs 2023-11-14 04:01:03,493 - mmdet - INFO - Evaluating bbox... 2023-11-14 04:01:32,472 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.543 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.737 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.592 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.368 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.587 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.705 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.666 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.666 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.666 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.488 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.708 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.819 2023-11-14 04:01:32,474 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.636 | bicycle | 0.416 | car | 0.540 | | motorcycle | 0.537 | airplane | 0.761 | bus | 0.745 | | train | 0.761 | truck | 0.491 | boat | 0.395 | | traffic light | 0.336 | fire hydrant | 0.750 | stop sign | 0.721 | | parking meter | 0.542 | bench | 0.367 | bird | 0.472 | | cat | 0.802 | dog | 0.776 | horse | 0.696 | | sheep | 0.638 | cow | 0.686 | elephant | 0.761 | | bear | 0.775 | zebra | 0.738 | giraffe | 0.773 | | backpack | 0.273 | umbrella | 0.518 | handbag | 0.286 | | tie | 0.461 | suitcase | 0.544 | frisbee | 0.741 | | skis | 0.364 | snowboard | 0.522 | sports ball | 0.542 | | kite | 0.515 | baseball bat | 0.522 | baseball glove | 0.485 | | skateboard | 0.642 | surfboard | 0.525 | tennis racket | 0.637 | | bottle | 0.513 | wine glass | 0.482 | cup | 0.571 | | fork | 0.547 | knife | 0.365 | spoon | 0.367 | | bowl | 0.521 | banana | 0.354 | apple | 0.296 | | sandwich | 0.526 | orange | 0.375 | broccoli | 0.304 | | carrot | 0.310 | hot dog | 0.549 | pizza | 0.606 | | donut | 0.635 | cake | 0.512 | chair | 0.412 | | couch | 0.549 | potted plant | 0.396 | bed | 0.538 | | dining table | 0.371 | toilet | 0.711 | tv | 0.663 | | laptop | 0.764 | mouse | 0.687 | remote | 0.519 | | keyboard | 0.592 | cell phone | 0.521 | microwave | 0.675 | | oven | 0.441 | toaster | 0.513 | sink | 0.487 | | refrigerator | 0.736 | book | 0.241 | clock | 0.552 | | vase | 0.475 | scissors | 0.571 | teddy bear | 0.642 | | hair drier | 0.402 | toothbrush | 0.483 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 04:01:32,474 - mmdet - INFO - Evaluating segm... 2023-11-14 04:02:02,244 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.474 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.713 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.518 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.273 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.507 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.670 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.411 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.626 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.748 2023-11-14 04:02:02,247 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.538 | bicycle | 0.257 | car | 0.486 | | motorcycle | 0.434 | airplane | 0.573 | bus | 0.715 | | train | 0.734 | truck | 0.470 | boat | 0.357 | | traffic light | 0.323 | fire hydrant | 0.710 | stop sign | 0.686 | | parking meter | 0.537 | bench | 0.273 | bird | 0.378 | | cat | 0.741 | dog | 0.687 | horse | 0.515 | | sheep | 0.562 | cow | 0.579 | elephant | 0.664 | | bear | 0.755 | zebra | 0.625 | giraffe | 0.590 | | backpack | 0.265 | umbrella | 0.551 | handbag | 0.247 | | tie | 0.415 | suitcase | 0.554 | frisbee | 0.681 | | skis | 0.081 | snowboard | 0.337 | sports ball | 0.523 | | kite | 0.355 | baseball bat | 0.356 | baseball glove | 0.496 | | skateboard | 0.416 | surfboard | 0.430 | tennis racket | 0.640 | | bottle | 0.475 | wine glass | 0.419 | cup | 0.555 | | fork | 0.293 | knife | 0.256 | spoon | 0.249 | | bowl | 0.470 | banana | 0.289 | apple | 0.284 | | sandwich | 0.525 | orange | 0.366 | broccoli | 0.270 | | carrot | 0.259 | hot dog | 0.461 | pizza | 0.566 | | donut | 0.618 | cake | 0.501 | chair | 0.288 | | couch | 0.450 | potted plant | 0.327 | bed | 0.402 | | dining table | 0.208 | toilet | 0.674 | tv | 0.685 | | laptop | 0.733 | mouse | 0.669 | remote | 0.442 | | keyboard | 0.574 | cell phone | 0.470 | microwave | 0.667 | | oven | 0.365 | toaster | 0.560 | sink | 0.433 | | refrigerator | 0.705 | book | 0.183 | clock | 0.544 | | vase | 0.440 | scissors | 0.398 | teddy bear | 0.584 | | hair drier | 0.374 | toothbrush | 0.313 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 04:02:02,627 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco/best_bbox_mAP_epoch_7.pth was removed 2023-11-14 04:02:11,071 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_8.pth. 2023-11-14 04:02:11,071 - mmdet - INFO - Best bbox_mAP is 0.5433 at 8 epoch. 2023-11-14 04:02:11,072 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 04:02:11,072 - mmdet - INFO - Epoch(val) [8][625] bbox_mAP: 0.5433, bbox_mAP_50: 0.7366, bbox_mAP_75: 0.5919, bbox_mAP_s: 0.3676, bbox_mAP_m: 0.5873, bbox_mAP_l: 0.7046, bbox_mAP_copypaste: 0.5433 0.7366 0.5919 0.3676 0.5873 0.7046, segm_mAP: 0.4735, segm_mAP_50: 0.7132, segm_mAP_75: 0.5179, segm_mAP_s: 0.2732, segm_mAP_m: 0.5070, segm_mAP_l: 0.6698, segm_mAP_copypaste: 0.4735 0.7132 0.5179 0.2732 0.5070 0.6698 2023-11-14 04:02:48,340 - mmdet - INFO - Epoch [9][50/7330] lr: 9.525e-07, eta: 5:24:29, time: 0.745, data_time: 0.099, memory: 30155, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1149, s0.acc: 95.5881, s0.loss_bbox: 0.2098, s0.loss_mask: 0.2010, s1.loss_cls: 0.0555, s1.acc: 95.7061, s1.loss_bbox: 0.1020, s1.loss_mask: 0.1034, s2.loss_cls: 0.0295, s2.acc: 95.3713, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0494, loss: 0.9439 2023-11-14 04:03:21,768 - mmdet - INFO - Epoch [9][100/7330] lr: 9.525e-07, eta: 5:23:56, time: 0.669, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1111, s0.acc: 95.6860, s0.loss_bbox: 0.2035, s0.loss_mask: 0.1941, s1.loss_cls: 0.0528, s1.acc: 95.8499, s1.loss_bbox: 0.0988, s1.loss_mask: 0.1009, s2.loss_cls: 0.0274, s2.acc: 95.6704, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0486, loss: 0.9134 2023-11-14 04:03:54,986 - mmdet - INFO - Epoch [9][150/7330] lr: 9.525e-07, eta: 5:23:22, time: 0.664, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1084, s0.acc: 95.9114, s0.loss_bbox: 0.1982, s0.loss_mask: 0.1986, s1.loss_cls: 0.0523, s1.acc: 96.0024, s1.loss_bbox: 0.0964, s1.loss_mask: 0.1030, s2.loss_cls: 0.0272, s2.acc: 95.7368, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0494, loss: 0.9095 2023-11-14 04:04:28,245 - mmdet - INFO - Epoch [9][200/7330] lr: 9.525e-07, eta: 5:22:49, time: 0.665, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1090, s0.acc: 95.8491, s0.loss_bbox: 0.1973, s0.loss_mask: 0.1986, s1.loss_cls: 0.0528, s1.acc: 95.8995, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1029, s2.loss_cls: 0.0273, s2.acc: 95.7555, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0495, loss: 0.9118 2023-11-14 04:05:01,484 - mmdet - INFO - Epoch [9][250/7330] lr: 9.525e-07, eta: 5:22:16, time: 0.665, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1084, s0.acc: 95.9001, s0.loss_bbox: 0.1971, s0.loss_mask: 0.1956, s1.loss_cls: 0.0519, s1.acc: 96.0161, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1017, s2.loss_cls: 0.0271, s2.acc: 95.7250, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0488, loss: 0.9027 2023-11-14 04:05:34,615 - mmdet - INFO - Epoch [9][300/7330] lr: 9.525e-07, eta: 5:21:42, time: 0.663, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1051, s0.acc: 95.9026, s0.loss_bbox: 0.1992, s0.loss_mask: 0.1920, s1.loss_cls: 0.0507, s1.acc: 95.9868, s1.loss_bbox: 0.0981, s1.loss_mask: 0.0996, s2.loss_cls: 0.0267, s2.acc: 95.7304, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0479, loss: 0.8936 2023-11-14 04:06:07,441 - mmdet - INFO - Epoch [9][350/7330] lr: 9.525e-07, eta: 5:21:09, time: 0.656, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1108, s0.acc: 95.7773, s0.loss_bbox: 0.1973, s0.loss_mask: 0.1932, s1.loss_cls: 0.0522, s1.acc: 95.9801, s1.loss_bbox: 0.0958, s1.loss_mask: 0.1003, s2.loss_cls: 0.0272, s2.acc: 95.7666, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0483, loss: 0.9007 2023-11-14 04:06:40,715 - mmdet - INFO - Epoch [9][400/7330] lr: 9.525e-07, eta: 5:20:36, time: 0.665, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1083, s0.acc: 95.8235, s0.loss_bbox: 0.1996, s0.loss_mask: 0.1960, s1.loss_cls: 0.0521, s1.acc: 95.9066, s1.loss_bbox: 0.0977, s1.loss_mask: 0.1024, s2.loss_cls: 0.0274, s2.acc: 95.5822, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0491, loss: 0.9080 2023-11-14 04:07:13,983 - mmdet - INFO - Epoch [9][450/7330] lr: 9.525e-07, eta: 5:20:03, time: 0.665, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1087, s0.acc: 95.8401, s0.loss_bbox: 0.1957, s0.loss_mask: 0.1940, s1.loss_cls: 0.0519, s1.acc: 95.9297, s1.loss_bbox: 0.0956, s1.loss_mask: 0.1010, s2.loss_cls: 0.0269, s2.acc: 95.6678, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0488, loss: 0.8968 2023-11-14 04:07:47,323 - mmdet - INFO - Epoch [9][500/7330] lr: 9.525e-07, eta: 5:19:29, time: 0.667, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1120, s0.acc: 95.6562, s0.loss_bbox: 0.2056, s0.loss_mask: 0.1975, s1.loss_cls: 0.0541, s1.acc: 95.7273, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1023, s2.loss_cls: 0.0281, s2.acc: 95.4392, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0493, loss: 0.9268 2023-11-14 04:08:20,888 - mmdet - INFO - Epoch [9][550/7330] lr: 9.525e-07, eta: 5:18:56, time: 0.671, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1118, s0.acc: 95.7554, s0.loss_bbox: 0.2024, s0.loss_mask: 0.1998, s1.loss_cls: 0.0534, s1.acc: 95.9152, s1.loss_bbox: 0.0984, s1.loss_mask: 0.1035, s2.loss_cls: 0.0278, s2.acc: 95.7105, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0497, loss: 0.9231 2023-11-14 04:08:53,964 - mmdet - INFO - Epoch [9][600/7330] lr: 9.525e-07, eta: 5:18:23, time: 0.662, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1110, s0.acc: 95.7185, s0.loss_bbox: 0.2041, s0.loss_mask: 0.1992, s1.loss_cls: 0.0534, s1.acc: 95.8196, s1.loss_bbox: 0.0996, s1.loss_mask: 0.1023, s2.loss_cls: 0.0277, s2.acc: 95.6008, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0493, loss: 0.9253 2023-11-14 04:09:27,409 - mmdet - INFO - Epoch [9][650/7330] lr: 9.525e-07, eta: 5:17:50, time: 0.669, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1056, s0.acc: 95.9272, s0.loss_bbox: 0.1930, s0.loss_mask: 0.1891, s1.loss_cls: 0.0507, s1.acc: 96.0423, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0991, s2.loss_cls: 0.0266, s2.acc: 95.7964, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0481, loss: 0.8806 2023-11-14 04:10:00,732 - mmdet - INFO - Epoch [9][700/7330] lr: 9.525e-07, eta: 5:17:16, time: 0.666, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1108, s0.acc: 95.6758, s0.loss_bbox: 0.2055, s0.loss_mask: 0.1999, s1.loss_cls: 0.0525, s1.acc: 95.8317, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1040, s2.loss_cls: 0.0275, s2.acc: 95.5996, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0499, loss: 0.9295 2023-11-14 04:10:33,721 - mmdet - INFO - Epoch [9][750/7330] lr: 9.525e-07, eta: 5:16:43, time: 0.660, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1110, s0.acc: 95.7378, s0.loss_bbox: 0.1987, s0.loss_mask: 0.1945, s1.loss_cls: 0.0544, s1.acc: 95.7920, s1.loss_bbox: 0.0969, s1.loss_mask: 0.1012, s2.loss_cls: 0.0287, s2.acc: 95.4624, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0484, loss: 0.9087 2023-11-14 04:11:06,791 - mmdet - INFO - Epoch [9][800/7330] lr: 9.525e-07, eta: 5:16:10, time: 0.661, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1056, s0.acc: 95.9082, s0.loss_bbox: 0.1978, s0.loss_mask: 0.1935, s1.loss_cls: 0.0510, s1.acc: 96.0709, s1.loss_bbox: 0.0973, s1.loss_mask: 0.1000, s2.loss_cls: 0.0268, s2.acc: 95.8036, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0482, loss: 0.8935 2023-11-14 04:11:40,090 - mmdet - INFO - Epoch [9][850/7330] lr: 9.525e-07, eta: 5:15:36, time: 0.666, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1129, s0.acc: 95.6125, s0.loss_bbox: 0.2017, s0.loss_mask: 0.2034, s1.loss_cls: 0.0536, s1.acc: 95.7671, s1.loss_bbox: 0.0982, s1.loss_mask: 0.1049, s2.loss_cls: 0.0278, s2.acc: 95.5684, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0502, loss: 0.9310 2023-11-14 04:12:13,135 - mmdet - INFO - Epoch [9][900/7330] lr: 9.525e-07, eta: 5:15:03, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1031, s0.acc: 95.9666, s0.loss_bbox: 0.1861, s0.loss_mask: 0.1872, s1.loss_cls: 0.0491, s1.acc: 96.1005, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0982, s2.loss_cls: 0.0256, s2.acc: 95.8720, s2.loss_bbox: 0.0404, s2.loss_mask: 0.0474, loss: 0.8617 2023-11-14 04:12:46,260 - mmdet - INFO - Epoch [9][950/7330] lr: 9.525e-07, eta: 5:14:30, time: 0.663, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1118, s0.acc: 95.6250, s0.loss_bbox: 0.2025, s0.loss_mask: 0.1951, s1.loss_cls: 0.0543, s1.acc: 95.6653, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1014, s2.loss_cls: 0.0284, s2.acc: 95.4959, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0486, loss: 0.9168 2023-11-14 04:13:19,491 - mmdet - INFO - Epoch [9][1000/7330] lr: 9.525e-07, eta: 5:13:57, time: 0.665, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1023, s0.acc: 96.0657, s0.loss_bbox: 0.1914, s0.loss_mask: 0.1883, s1.loss_cls: 0.0496, s1.acc: 96.1289, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0991, s2.loss_cls: 0.0259, s2.acc: 95.8452, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0478, loss: 0.8735 2023-11-14 04:13:52,658 - mmdet - INFO - Epoch [9][1050/7330] lr: 9.525e-07, eta: 5:13:23, time: 0.663, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1091, s0.acc: 95.8523, s0.loss_bbox: 0.2029, s0.loss_mask: 0.1933, s1.loss_cls: 0.0508, s1.acc: 96.0784, s1.loss_bbox: 0.0995, s1.loss_mask: 0.1011, s2.loss_cls: 0.0272, s2.acc: 95.7096, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0485, loss: 0.9089 2023-11-14 04:14:25,859 - mmdet - INFO - Epoch [9][1100/7330] lr: 9.525e-07, eta: 5:12:50, time: 0.664, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1053, s0.acc: 95.9629, s0.loss_bbox: 0.1969, s0.loss_mask: 0.1924, s1.loss_cls: 0.0497, s1.acc: 96.1721, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1000, s2.loss_cls: 0.0259, s2.acc: 96.0329, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0482, loss: 0.8872 2023-11-14 04:14:58,993 - mmdet - INFO - Epoch [9][1150/7330] lr: 9.525e-07, eta: 5:12:17, time: 0.663, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1094, s0.acc: 95.7170, s0.loss_bbox: 0.2063, s0.loss_mask: 0.1957, s1.loss_cls: 0.0523, s1.acc: 95.9287, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1019, s2.loss_cls: 0.0278, s2.acc: 95.5611, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0492, loss: 0.9227 2023-11-14 04:15:31,763 - mmdet - INFO - Epoch [9][1200/7330] lr: 9.525e-07, eta: 5:11:43, time: 0.655, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1106, s0.acc: 95.7830, s0.loss_bbox: 0.2019, s0.loss_mask: 0.1985, s1.loss_cls: 0.0525, s1.acc: 95.9163, s1.loss_bbox: 0.0977, s1.loss_mask: 0.1019, s2.loss_cls: 0.0269, s2.acc: 95.7601, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0490, loss: 0.9151 2023-11-14 04:16:05,366 - mmdet - INFO - Epoch [9][1250/7330] lr: 9.525e-07, eta: 5:11:10, time: 0.672, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1087, s0.acc: 95.8027, s0.loss_bbox: 0.2033, s0.loss_mask: 0.1918, s1.loss_cls: 0.0518, s1.acc: 95.9260, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1006, s2.loss_cls: 0.0270, s2.acc: 95.6359, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0486, loss: 0.9093 2023-11-14 04:16:38,323 - mmdet - INFO - Epoch [9][1300/7330] lr: 9.525e-07, eta: 5:10:37, time: 0.659, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1119, s0.acc: 95.7305, s0.loss_bbox: 0.2026, s0.loss_mask: 0.1940, s1.loss_cls: 0.0527, s1.acc: 95.9033, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1011, s2.loss_cls: 0.0276, s2.acc: 95.6092, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0483, loss: 0.9146 2023-11-14 04:17:11,448 - mmdet - INFO - Epoch [9][1350/7330] lr: 9.525e-07, eta: 5:10:03, time: 0.662, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1088, s0.acc: 95.8069, s0.loss_bbox: 0.2013, s0.loss_mask: 0.1936, s1.loss_cls: 0.0525, s1.acc: 95.8978, s1.loss_bbox: 0.0975, s1.loss_mask: 0.1009, s2.loss_cls: 0.0274, s2.acc: 95.6284, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0484, loss: 0.9061 2023-11-14 04:17:44,897 - mmdet - INFO - Epoch [9][1400/7330] lr: 9.525e-07, eta: 5:09:30, time: 0.669, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1066, s0.acc: 95.9348, s0.loss_bbox: 0.2055, s0.loss_mask: 0.1995, s1.loss_cls: 0.0509, s1.acc: 96.0048, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1037, s2.loss_cls: 0.0270, s2.acc: 95.7106, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0496, loss: 0.9204 2023-11-14 04:18:18,010 - mmdet - INFO - Epoch [9][1450/7330] lr: 9.525e-07, eta: 5:08:57, time: 0.662, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1106, s0.acc: 95.8472, s0.loss_bbox: 0.1985, s0.loss_mask: 0.1927, s1.loss_cls: 0.0527, s1.acc: 95.9658, s1.loss_bbox: 0.0964, s1.loss_mask: 0.1002, s2.loss_cls: 0.0276, s2.acc: 95.6336, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0481, loss: 0.9028 2023-11-14 04:18:51,093 - mmdet - INFO - Epoch [9][1500/7330] lr: 9.525e-07, eta: 5:08:23, time: 0.662, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1046, s0.acc: 95.9985, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1947, s1.loss_cls: 0.0495, s1.acc: 96.1423, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1008, s2.loss_cls: 0.0260, s2.acc: 95.9124, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0485, loss: 0.8905 2023-11-14 04:19:24,071 - mmdet - INFO - Epoch [9][1550/7330] lr: 9.525e-07, eta: 5:07:50, time: 0.660, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1133, s0.acc: 95.6985, s0.loss_bbox: 0.2046, s0.loss_mask: 0.1974, s1.loss_cls: 0.0539, s1.acc: 95.8570, s1.loss_bbox: 0.0988, s1.loss_mask: 0.1027, s2.loss_cls: 0.0281, s2.acc: 95.6317, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0494, loss: 0.9254 2023-11-14 04:19:57,474 - mmdet - INFO - Epoch [9][1600/7330] lr: 9.525e-07, eta: 5:07:17, time: 0.668, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1092, s0.acc: 95.8008, s0.loss_bbox: 0.2041, s0.loss_mask: 0.1980, s1.loss_cls: 0.0524, s1.acc: 95.9071, s1.loss_bbox: 0.0987, s1.loss_mask: 0.1026, s2.loss_cls: 0.0272, s2.acc: 95.6714, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0494, loss: 0.9180 2023-11-14 04:20:30,704 - mmdet - INFO - Epoch [9][1650/7330] lr: 9.525e-07, eta: 5:06:44, time: 0.665, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1088, s0.acc: 95.7795, s0.loss_bbox: 0.2017, s0.loss_mask: 0.1978, s1.loss_cls: 0.0524, s1.acc: 95.8922, s1.loss_bbox: 0.0973, s1.loss_mask: 0.1025, s2.loss_cls: 0.0275, s2.acc: 95.5746, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0492, loss: 0.9115 2023-11-14 04:21:03,872 - mmdet - INFO - Epoch [9][1700/7330] lr: 9.525e-07, eta: 5:06:10, time: 0.663, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1032, s0.acc: 95.9873, s0.loss_bbox: 0.1926, s0.loss_mask: 0.1932, s1.loss_cls: 0.0503, s1.acc: 96.0838, s1.loss_bbox: 0.0942, s1.loss_mask: 0.1006, s2.loss_cls: 0.0264, s2.acc: 95.8357, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0483, loss: 0.8804 2023-11-14 04:21:37,078 - mmdet - INFO - Epoch [9][1750/7330] lr: 9.525e-07, eta: 5:05:37, time: 0.664, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1068, s0.acc: 95.8748, s0.loss_bbox: 0.1998, s0.loss_mask: 0.1958, s1.loss_cls: 0.0511, s1.acc: 96.0156, s1.loss_bbox: 0.0980, s1.loss_mask: 0.1017, s2.loss_cls: 0.0268, s2.acc: 95.8150, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0493, loss: 0.9042 2023-11-14 04:22:10,351 - mmdet - INFO - Epoch [9][1800/7330] lr: 9.525e-07, eta: 5:05:04, time: 0.665, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1072, s0.acc: 95.8586, s0.loss_bbox: 0.2011, s0.loss_mask: 0.1960, s1.loss_cls: 0.0511, s1.acc: 96.0065, s1.loss_bbox: 0.0992, s1.loss_mask: 0.1016, s2.loss_cls: 0.0271, s2.acc: 95.7195, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0490, loss: 0.9078 2023-11-14 04:22:43,458 - mmdet - INFO - Epoch [9][1850/7330] lr: 9.525e-07, eta: 5:04:30, time: 0.662, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1130, s0.acc: 95.5840, s0.loss_bbox: 0.2083, s0.loss_mask: 0.1972, s1.loss_cls: 0.0541, s1.acc: 95.7287, s1.loss_bbox: 0.1018, s1.loss_mask: 0.1021, s2.loss_cls: 0.0285, s2.acc: 95.4088, s2.loss_bbox: 0.0444, s2.loss_mask: 0.0492, loss: 0.9318 2023-11-14 04:23:16,773 - mmdet - INFO - Epoch [9][1900/7330] lr: 9.525e-07, eta: 5:03:57, time: 0.666, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1082, s0.acc: 95.8208, s0.loss_bbox: 0.2018, s0.loss_mask: 0.1948, s1.loss_cls: 0.0512, s1.acc: 95.9540, s1.loss_bbox: 0.0992, s1.loss_mask: 0.1014, s2.loss_cls: 0.0271, s2.acc: 95.6650, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0489, loss: 0.9089 2023-11-14 04:23:49,710 - mmdet - INFO - Epoch [9][1950/7330] lr: 9.525e-07, eta: 5:03:24, time: 0.659, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1068, s0.acc: 95.8872, s0.loss_bbox: 0.1953, s0.loss_mask: 0.1921, s1.loss_cls: 0.0508, s1.acc: 96.0539, s1.loss_bbox: 0.0956, s1.loss_mask: 0.1004, s2.loss_cls: 0.0268, s2.acc: 95.8309, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0485, loss: 0.8901 2023-11-14 04:24:22,900 - mmdet - INFO - Epoch [9][2000/7330] lr: 9.525e-07, eta: 5:02:51, time: 0.664, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1147, s0.acc: 95.5837, s0.loss_bbox: 0.2065, s0.loss_mask: 0.1985, s1.loss_cls: 0.0555, s1.acc: 95.6035, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1030, s2.loss_cls: 0.0285, s2.acc: 95.4812, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0493, loss: 0.9329 2023-11-14 04:24:55,580 - mmdet - INFO - Epoch [9][2050/7330] lr: 9.525e-07, eta: 5:02:17, time: 0.654, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1032, s0.acc: 96.0120, s0.loss_bbox: 0.1918, s0.loss_mask: 0.1903, s1.loss_cls: 0.0499, s1.acc: 96.1440, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0993, s2.loss_cls: 0.0259, s2.acc: 95.9360, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0476, loss: 0.8762 2023-11-14 04:25:28,860 - mmdet - INFO - Epoch [9][2100/7330] lr: 9.525e-07, eta: 5:01:44, time: 0.666, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1101, s0.acc: 95.7424, s0.loss_bbox: 0.2036, s0.loss_mask: 0.1989, s1.loss_cls: 0.0530, s1.acc: 95.8528, s1.loss_bbox: 0.0987, s1.loss_mask: 0.1028, s2.loss_cls: 0.0275, s2.acc: 95.6478, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0494, loss: 0.9222 2023-11-14 04:26:02,491 - mmdet - INFO - Epoch [9][2150/7330] lr: 9.525e-07, eta: 5:01:11, time: 0.673, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1108, s0.acc: 95.7737, s0.loss_bbox: 0.2025, s0.loss_mask: 0.1986, s1.loss_cls: 0.0530, s1.acc: 95.8638, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1025, s2.loss_cls: 0.0276, s2.acc: 95.5931, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0491, loss: 0.9186 2023-11-14 04:26:35,658 - mmdet - INFO - Epoch [9][2200/7330] lr: 9.525e-07, eta: 5:00:37, time: 0.663, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1118, s0.acc: 95.7092, s0.loss_bbox: 0.2044, s0.loss_mask: 0.1978, s1.loss_cls: 0.0532, s1.acc: 95.8629, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1027, s2.loss_cls: 0.0279, s2.acc: 95.5988, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0494, loss: 0.9241 2023-11-14 04:27:08,840 - mmdet - INFO - Epoch [9][2250/7330] lr: 9.525e-07, eta: 5:00:04, time: 0.664, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1111, s0.acc: 95.6902, s0.loss_bbox: 0.2038, s0.loss_mask: 0.1958, s1.loss_cls: 0.0527, s1.acc: 95.8842, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1028, s2.loss_cls: 0.0278, s2.acc: 95.6532, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0494, loss: 0.9206 2023-11-14 04:27:42,253 - mmdet - INFO - Epoch [9][2300/7330] lr: 9.525e-07, eta: 4:59:31, time: 0.668, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1053, s0.acc: 95.9558, s0.loss_bbox: 0.1990, s0.loss_mask: 0.1908, s1.loss_cls: 0.0492, s1.acc: 96.2065, s1.loss_bbox: 0.0980, s1.loss_mask: 0.0997, s2.loss_cls: 0.0258, s2.acc: 95.9445, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0481, loss: 0.8928 2023-11-14 04:28:15,391 - mmdet - INFO - Epoch [9][2350/7330] lr: 9.525e-07, eta: 4:58:58, time: 0.663, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1062, s0.acc: 95.9294, s0.loss_bbox: 0.2033, s0.loss_mask: 0.1939, s1.loss_cls: 0.0493, s1.acc: 96.1495, s1.loss_bbox: 0.1002, s1.loss_mask: 0.1011, s2.loss_cls: 0.0265, s2.acc: 95.7663, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0488, loss: 0.9041 2023-11-14 04:28:48,446 - mmdet - INFO - Epoch [9][2400/7330] lr: 9.525e-07, eta: 4:58:24, time: 0.661, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1047, s0.acc: 95.9597, s0.loss_bbox: 0.1906, s0.loss_mask: 0.1941, s1.loss_cls: 0.0500, s1.acc: 96.0837, s1.loss_bbox: 0.0931, s1.loss_mask: 0.1004, s2.loss_cls: 0.0262, s2.acc: 95.8257, s2.loss_bbox: 0.0405, s2.loss_mask: 0.0482, loss: 0.8830 2023-11-14 04:29:21,809 - mmdet - INFO - Epoch [9][2450/7330] lr: 9.525e-07, eta: 4:57:51, time: 0.667, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1110, s0.acc: 95.7290, s0.loss_bbox: 0.2028, s0.loss_mask: 0.1964, s1.loss_cls: 0.0528, s1.acc: 95.8238, s1.loss_bbox: 0.0991, s1.loss_mask: 0.1021, s2.loss_cls: 0.0274, s2.acc: 95.5835, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0492, loss: 0.9180 2023-11-14 04:29:55,186 - mmdet - INFO - Epoch [9][2500/7330] lr: 9.525e-07, eta: 4:57:18, time: 0.667, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0206, s0.loss_cls: 0.1117, s0.acc: 95.6418, s0.loss_bbox: 0.2055, s0.loss_mask: 0.1973, s1.loss_cls: 0.0539, s1.acc: 95.7648, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1023, s2.loss_cls: 0.0279, s2.acc: 95.5141, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0490, loss: 0.9263 2023-11-14 04:30:28,026 - mmdet - INFO - Epoch [9][2550/7330] lr: 9.525e-07, eta: 4:56:44, time: 0.657, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1135, s0.acc: 95.6284, s0.loss_bbox: 0.2041, s0.loss_mask: 0.1978, s1.loss_cls: 0.0539, s1.acc: 95.7339, s1.loss_bbox: 0.0994, s1.loss_mask: 0.1022, s2.loss_cls: 0.0281, s2.acc: 95.5434, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0488, loss: 0.9254 2023-11-14 04:31:01,034 - mmdet - INFO - Epoch [9][2600/7330] lr: 9.525e-07, eta: 4:56:11, time: 0.660, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1071, s0.acc: 95.9167, s0.loss_bbox: 0.1937, s0.loss_mask: 0.1965, s1.loss_cls: 0.0510, s1.acc: 96.0772, s1.loss_bbox: 0.0955, s1.loss_mask: 0.1018, s2.loss_cls: 0.0267, s2.acc: 95.8406, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0490, loss: 0.8966 2023-11-14 04:31:34,653 - mmdet - INFO - Epoch [9][2650/7330] lr: 9.525e-07, eta: 4:55:38, time: 0.672, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1019, s0.acc: 96.0291, s0.loss_bbox: 0.1974, s0.loss_mask: 0.1919, s1.loss_cls: 0.0489, s1.acc: 96.1309, s1.loss_bbox: 0.0972, s1.loss_mask: 0.1004, s2.loss_cls: 0.0258, s2.acc: 95.8410, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0487, loss: 0.8866 2023-11-14 04:32:08,154 - mmdet - INFO - Epoch [9][2700/7330] lr: 9.525e-07, eta: 4:55:05, time: 0.670, data_time: 0.032, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1083, s0.acc: 95.8035, s0.loss_bbox: 0.2068, s0.loss_mask: 0.1934, s1.loss_cls: 0.0518, s1.acc: 95.8985, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1010, s2.loss_cls: 0.0269, s2.acc: 95.6915, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0486, loss: 0.9156 2023-11-14 04:32:41,450 - mmdet - INFO - Epoch [9][2750/7330] lr: 9.525e-07, eta: 4:54:32, time: 0.666, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1104, s0.acc: 95.6941, s0.loss_bbox: 0.2056, s0.loss_mask: 0.1984, s1.loss_cls: 0.0527, s1.acc: 95.8403, s1.loss_bbox: 0.1002, s1.loss_mask: 0.1033, s2.loss_cls: 0.0277, s2.acc: 95.5596, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0495, loss: 0.9240 2023-11-14 04:33:14,610 - mmdet - INFO - Epoch [9][2800/7330] lr: 9.525e-07, eta: 4:53:58, time: 0.663, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1038, s0.acc: 96.0432, s0.loss_bbox: 0.1951, s0.loss_mask: 0.1907, s1.loss_cls: 0.0495, s1.acc: 96.1750, s1.loss_bbox: 0.0962, s1.loss_mask: 0.0998, s2.loss_cls: 0.0258, s2.acc: 95.8936, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0481, loss: 0.8843 2023-11-14 04:33:47,557 - mmdet - INFO - Epoch [9][2850/7330] lr: 9.525e-07, eta: 4:53:25, time: 0.659, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1042, s0.acc: 95.9854, s0.loss_bbox: 0.1929, s0.loss_mask: 0.1918, s1.loss_cls: 0.0504, s1.acc: 96.0455, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0996, s2.loss_cls: 0.0266, s2.acc: 95.8456, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0479, loss: 0.8821 2023-11-14 04:34:20,574 - mmdet - INFO - Epoch [9][2900/7330] lr: 9.525e-07, eta: 4:52:52, time: 0.660, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1076, s0.acc: 95.8665, s0.loss_bbox: 0.2017, s0.loss_mask: 0.1928, s1.loss_cls: 0.0507, s1.acc: 96.0604, s1.loss_bbox: 0.0992, s1.loss_mask: 0.1009, s2.loss_cls: 0.0268, s2.acc: 95.7620, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0486, loss: 0.9038 2023-11-14 04:34:54,084 - mmdet - INFO - Epoch [9][2950/7330] lr: 9.525e-07, eta: 4:52:18, time: 0.670, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1151, s0.acc: 95.5898, s0.loss_bbox: 0.2094, s0.loss_mask: 0.2015, s1.loss_cls: 0.0548, s1.acc: 95.7032, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1035, s2.loss_cls: 0.0285, s2.acc: 95.5098, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0494, loss: 0.9411 2023-11-14 04:35:27,246 - mmdet - INFO - Epoch [9][3000/7330] lr: 9.525e-07, eta: 4:51:45, time: 0.663, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1141, s0.acc: 95.6118, s0.loss_bbox: 0.2055, s0.loss_mask: 0.1938, s1.loss_cls: 0.0540, s1.acc: 95.7815, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1009, s2.loss_cls: 0.0281, s2.acc: 95.5815, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0491, loss: 0.9249 2023-11-14 04:36:00,120 - mmdet - INFO - Epoch [9][3050/7330] lr: 9.525e-07, eta: 4:51:12, time: 0.657, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1075, s0.acc: 95.8860, s0.loss_bbox: 0.1988, s0.loss_mask: 0.1944, s1.loss_cls: 0.0511, s1.acc: 96.0339, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1015, s2.loss_cls: 0.0265, s2.acc: 95.7542, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0490, loss: 0.9025 2023-11-14 04:36:32,810 - mmdet - INFO - Epoch [9][3100/7330] lr: 9.525e-07, eta: 4:50:38, time: 0.654, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1041, s0.acc: 95.9866, s0.loss_bbox: 0.1945, s0.loss_mask: 0.1936, s1.loss_cls: 0.0499, s1.acc: 96.0504, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1011, s2.loss_cls: 0.0259, s2.acc: 95.9253, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0484, loss: 0.8871 2023-11-14 04:37:05,867 - mmdet - INFO - Epoch [9][3150/7330] lr: 9.525e-07, eta: 4:50:05, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1064, s0.acc: 96.0144, s0.loss_bbox: 0.1903, s0.loss_mask: 0.1918, s1.loss_cls: 0.0497, s1.acc: 96.2239, s1.loss_bbox: 0.0938, s1.loss_mask: 0.1003, s2.loss_cls: 0.0257, s2.acc: 96.0341, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0482, loss: 0.8785 2023-11-14 04:37:39,038 - mmdet - INFO - Epoch [9][3200/7330] lr: 9.525e-07, eta: 4:49:32, time: 0.663, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1109, s0.acc: 95.7686, s0.loss_bbox: 0.2094, s0.loss_mask: 0.1945, s1.loss_cls: 0.0526, s1.acc: 95.9084, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1018, s2.loss_cls: 0.0278, s2.acc: 95.6493, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0489, loss: 0.9277 2023-11-14 04:38:11,960 - mmdet - INFO - Epoch [9][3250/7330] lr: 9.525e-07, eta: 4:48:58, time: 0.658, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1127, s0.acc: 95.6606, s0.loss_bbox: 0.2033, s0.loss_mask: 0.1950, s1.loss_cls: 0.0539, s1.acc: 95.8578, s1.loss_bbox: 0.0981, s1.loss_mask: 0.1016, s2.loss_cls: 0.0284, s2.acc: 95.5152, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0485, loss: 0.9191 2023-11-14 04:38:45,151 - mmdet - INFO - Epoch [9][3300/7330] lr: 9.525e-07, eta: 4:48:25, time: 0.664, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1084, s0.acc: 95.8203, s0.loss_bbox: 0.1987, s0.loss_mask: 0.1978, s1.loss_cls: 0.0531, s1.acc: 95.8920, s1.loss_bbox: 0.0964, s1.loss_mask: 0.1013, s2.loss_cls: 0.0277, s2.acc: 95.6899, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0488, loss: 0.9094 2023-11-14 04:39:18,067 - mmdet - INFO - Epoch [9][3350/7330] lr: 9.525e-07, eta: 4:47:52, time: 0.658, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.0984, s0.acc: 96.2197, s0.loss_bbox: 0.1837, s0.loss_mask: 0.1950, s1.loss_cls: 0.0470, s1.acc: 96.3711, s1.loss_bbox: 0.0894, s1.loss_mask: 0.1014, s2.loss_cls: 0.0243, s2.acc: 96.2208, s2.loss_bbox: 0.0392, s2.loss_mask: 0.0491, loss: 0.8576 2023-11-14 04:39:51,146 - mmdet - INFO - Epoch [9][3400/7330] lr: 9.525e-07, eta: 4:47:18, time: 0.662, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1111, s0.acc: 95.7490, s0.loss_bbox: 0.2035, s0.loss_mask: 0.1965, s1.loss_cls: 0.0529, s1.acc: 95.8820, s1.loss_bbox: 0.0991, s1.loss_mask: 0.1019, s2.loss_cls: 0.0279, s2.acc: 95.5852, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0487, loss: 0.9171 2023-11-14 04:40:23,973 - mmdet - INFO - Epoch [9][3450/7330] lr: 9.525e-07, eta: 4:46:45, time: 0.657, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1133, s0.acc: 95.6492, s0.loss_bbox: 0.2036, s0.loss_mask: 0.1924, s1.loss_cls: 0.0546, s1.acc: 95.7186, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1000, s2.loss_cls: 0.0282, s2.acc: 95.5387, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0480, loss: 0.9173 2023-11-14 04:40:56,993 - mmdet - INFO - Epoch [9][3500/7330] lr: 9.525e-07, eta: 4:46:11, time: 0.660, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1054, s0.acc: 95.8953, s0.loss_bbox: 0.1976, s0.loss_mask: 0.1921, s1.loss_cls: 0.0504, s1.acc: 96.0032, s1.loss_bbox: 0.0969, s1.loss_mask: 0.1003, s2.loss_cls: 0.0266, s2.acc: 95.7491, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0485, loss: 0.8920 2023-11-14 04:41:30,302 - mmdet - INFO - Epoch [9][3550/7330] lr: 9.525e-07, eta: 4:45:38, time: 0.666, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0205, s0.loss_cls: 0.1028, s0.acc: 96.0947, s0.loss_bbox: 0.1933, s0.loss_mask: 0.1917, s1.loss_cls: 0.0484, s1.acc: 96.2941, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0994, s2.loss_cls: 0.0259, s2.acc: 95.9364, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0476, loss: 0.8787 2023-11-14 04:42:03,537 - mmdet - INFO - Epoch [9][3600/7330] lr: 9.525e-07, eta: 4:45:05, time: 0.665, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1055, s0.acc: 95.9739, s0.loss_bbox: 0.1995, s0.loss_mask: 0.1942, s1.loss_cls: 0.0512, s1.acc: 96.0479, s1.loss_bbox: 0.0984, s1.loss_mask: 0.1018, s2.loss_cls: 0.0266, s2.acc: 95.8566, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0492, loss: 0.9013 2023-11-14 04:42:36,490 - mmdet - INFO - Epoch [9][3650/7330] lr: 9.525e-07, eta: 4:44:32, time: 0.659, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0165, s0.loss_cls: 0.1003, s0.acc: 96.1355, s0.loss_bbox: 0.1872, s0.loss_mask: 0.1910, s1.loss_cls: 0.0475, s1.acc: 96.2775, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0997, s2.loss_cls: 0.0248, s2.acc: 96.0633, s2.loss_bbox: 0.0405, s2.loss_mask: 0.0478, loss: 0.8603 2023-11-14 04:43:09,776 - mmdet - INFO - Epoch [9][3700/7330] lr: 9.525e-07, eta: 4:43:58, time: 0.666, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1051, s0.acc: 95.9473, s0.loss_bbox: 0.1967, s0.loss_mask: 0.1931, s1.loss_cls: 0.0508, s1.acc: 96.0233, s1.loss_bbox: 0.0958, s1.loss_mask: 0.1006, s2.loss_cls: 0.0265, s2.acc: 95.7688, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0481, loss: 0.8894 2023-11-14 04:43:42,427 - mmdet - INFO - Epoch [9][3750/7330] lr: 9.525e-07, eta: 4:43:25, time: 0.653, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1000, s0.acc: 96.1443, s0.loss_bbox: 0.1958, s0.loss_mask: 0.1929, s1.loss_cls: 0.0474, s1.acc: 96.2569, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0997, s2.loss_cls: 0.0252, s2.acc: 95.9359, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0480, loss: 0.8782 2023-11-14 04:44:15,083 - mmdet - INFO - Epoch [9][3800/7330] lr: 9.525e-07, eta: 4:42:51, time: 0.653, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0994, s0.acc: 96.1592, s0.loss_bbox: 0.1923, s0.loss_mask: 0.1912, s1.loss_cls: 0.0467, s1.acc: 96.3302, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0995, s2.loss_cls: 0.0245, s2.acc: 96.0788, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0479, loss: 0.8695 2023-11-14 04:44:48,379 - mmdet - INFO - Epoch [9][3850/7330] lr: 9.525e-07, eta: 4:42:18, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1026, s0.acc: 96.0615, s0.loss_bbox: 0.1962, s0.loss_mask: 0.1901, s1.loss_cls: 0.0488, s1.acc: 96.1623, s1.loss_bbox: 0.0962, s1.loss_mask: 0.0992, s2.loss_cls: 0.0256, s2.acc: 95.8704, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0479, loss: 0.8804 2023-11-14 04:45:21,551 - mmdet - INFO - Epoch [9][3900/7330] lr: 9.525e-07, eta: 4:41:45, time: 0.664, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1086, s0.acc: 95.8250, s0.loss_bbox: 0.2048, s0.loss_mask: 0.1963, s1.loss_cls: 0.0515, s1.acc: 95.9772, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1020, s2.loss_cls: 0.0270, s2.acc: 95.7544, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0493, loss: 0.9161 2023-11-14 04:45:54,411 - mmdet - INFO - Epoch [9][3950/7330] lr: 9.525e-07, eta: 4:41:11, time: 0.657, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1077, s0.acc: 95.8696, s0.loss_bbox: 0.1956, s0.loss_mask: 0.1939, s1.loss_cls: 0.0520, s1.acc: 95.9153, s1.loss_bbox: 0.0959, s1.loss_mask: 0.1005, s2.loss_cls: 0.0272, s2.acc: 95.7101, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0482, loss: 0.8951 2023-11-14 04:46:27,318 - mmdet - INFO - Epoch [9][4000/7330] lr: 9.525e-07, eta: 4:40:38, time: 0.658, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1082, s0.acc: 95.8713, s0.loss_bbox: 0.2022, s0.loss_mask: 0.1953, s1.loss_cls: 0.0509, s1.acc: 96.1061, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1018, s2.loss_cls: 0.0269, s2.acc: 95.8242, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0488, loss: 0.9084 2023-11-14 04:47:00,593 - mmdet - INFO - Epoch [9][4050/7330] lr: 9.525e-07, eta: 4:40:05, time: 0.666, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1114, s0.acc: 95.7319, s0.loss_bbox: 0.2003, s0.loss_mask: 0.2007, s1.loss_cls: 0.0539, s1.acc: 95.8336, s1.loss_bbox: 0.0972, s1.loss_mask: 0.1041, s2.loss_cls: 0.0280, s2.acc: 95.6394, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0500, loss: 0.9230 2023-11-14 04:47:33,415 - mmdet - INFO - Epoch [9][4100/7330] lr: 9.525e-07, eta: 4:39:31, time: 0.656, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1112, s0.acc: 95.7256, s0.loss_bbox: 0.2068, s0.loss_mask: 0.1961, s1.loss_cls: 0.0528, s1.acc: 95.9197, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1016, s2.loss_cls: 0.0280, s2.acc: 95.6002, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0483, loss: 0.9229 2023-11-14 04:48:06,140 - mmdet - INFO - Epoch [9][4150/7330] lr: 9.525e-07, eta: 4:38:58, time: 0.654, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.1052, s0.acc: 95.9138, s0.loss_bbox: 0.2006, s0.loss_mask: 0.1911, s1.loss_cls: 0.0498, s1.acc: 96.0864, s1.loss_bbox: 0.0987, s1.loss_mask: 0.1000, s2.loss_cls: 0.0261, s2.acc: 95.8578, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0480, loss: 0.8921 2023-11-14 04:48:39,233 - mmdet - INFO - Epoch [9][4200/7330] lr: 9.525e-07, eta: 4:38:25, time: 0.662, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1097, s0.acc: 95.7795, s0.loss_bbox: 0.2007, s0.loss_mask: 0.1942, s1.loss_cls: 0.0519, s1.acc: 95.9845, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1010, s2.loss_cls: 0.0272, s2.acc: 95.8138, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0487, loss: 0.9081 2023-11-14 04:49:12,547 - mmdet - INFO - Epoch [9][4250/7330] lr: 9.525e-07, eta: 4:37:51, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1068, s0.acc: 95.9104, s0.loss_bbox: 0.1981, s0.loss_mask: 0.1942, s1.loss_cls: 0.0500, s1.acc: 96.1720, s1.loss_bbox: 0.0964, s1.loss_mask: 0.1012, s2.loss_cls: 0.0264, s2.acc: 95.8646, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0489, loss: 0.8969 2023-11-14 04:49:45,667 - mmdet - INFO - Epoch [9][4300/7330] lr: 9.525e-07, eta: 4:37:18, time: 0.662, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1023, s0.acc: 96.1221, s0.loss_bbox: 0.1897, s0.loss_mask: 0.1908, s1.loss_cls: 0.0492, s1.acc: 96.2300, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0992, s2.loss_cls: 0.0257, s2.acc: 96.0248, s2.loss_bbox: 0.0406, s2.loss_mask: 0.0479, loss: 0.8729 2023-11-14 04:50:18,640 - mmdet - INFO - Epoch [9][4350/7330] lr: 9.525e-07, eta: 4:36:45, time: 0.659, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1128, s0.acc: 95.7219, s0.loss_bbox: 0.2100, s0.loss_mask: 0.1981, s1.loss_cls: 0.0535, s1.acc: 95.8729, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1029, s2.loss_cls: 0.0280, s2.acc: 95.5449, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0495, loss: 0.9346 2023-11-14 04:50:51,592 - mmdet - INFO - Epoch [9][4400/7330] lr: 9.525e-07, eta: 4:36:11, time: 0.659, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1064, s0.acc: 95.9248, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1924, s1.loss_cls: 0.0510, s1.acc: 96.0745, s1.loss_bbox: 0.0957, s1.loss_mask: 0.1003, s2.loss_cls: 0.0267, s2.acc: 95.8287, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0486, loss: 0.8931 2023-11-14 04:51:24,703 - mmdet - INFO - Epoch [9][4450/7330] lr: 9.525e-07, eta: 4:35:38, time: 0.662, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1076, s0.acc: 95.8628, s0.loss_bbox: 0.2000, s0.loss_mask: 0.1930, s1.loss_cls: 0.0505, s1.acc: 96.0683, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1005, s2.loss_cls: 0.0266, s2.acc: 95.7551, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0485, loss: 0.9003 2023-11-14 04:51:57,977 - mmdet - INFO - Epoch [9][4500/7330] lr: 9.525e-07, eta: 4:35:05, time: 0.666, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1126, s0.acc: 95.6226, s0.loss_bbox: 0.2053, s0.loss_mask: 0.1957, s1.loss_cls: 0.0540, s1.acc: 95.7640, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1016, s2.loss_cls: 0.0281, s2.acc: 95.6015, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0491, loss: 0.9242 2023-11-14 04:52:31,115 - mmdet - INFO - Epoch [9][4550/7330] lr: 9.525e-07, eta: 4:34:31, time: 0.663, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1095, s0.acc: 95.7869, s0.loss_bbox: 0.2067, s0.loss_mask: 0.1950, s1.loss_cls: 0.0520, s1.acc: 96.0037, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1012, s2.loss_cls: 0.0273, s2.acc: 95.7134, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0485, loss: 0.9172 2023-11-14 04:53:04,160 - mmdet - INFO - Epoch [9][4600/7330] lr: 9.525e-07, eta: 4:33:58, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1040, s0.acc: 95.9849, s0.loss_bbox: 0.1950, s0.loss_mask: 0.1949, s1.loss_cls: 0.0496, s1.acc: 96.1527, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1020, s2.loss_cls: 0.0259, s2.acc: 95.9240, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0490, loss: 0.8914 2023-11-14 04:53:37,303 - mmdet - INFO - Epoch [9][4650/7330] lr: 9.525e-07, eta: 4:33:25, time: 0.663, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1035, s0.acc: 96.0198, s0.loss_bbox: 0.1953, s0.loss_mask: 0.1914, s1.loss_cls: 0.0502, s1.acc: 96.0414, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0990, s2.loss_cls: 0.0270, s2.acc: 95.7182, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0477, loss: 0.8816 2023-11-14 04:54:09,978 - mmdet - INFO - Epoch [9][4700/7330] lr: 9.525e-07, eta: 4:32:51, time: 0.653, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.0997, s0.acc: 96.1538, s0.loss_bbox: 0.1892, s0.loss_mask: 0.1917, s1.loss_cls: 0.0476, s1.acc: 96.2967, s1.loss_bbox: 0.0934, s1.loss_mask: 0.1001, s2.loss_cls: 0.0250, s2.acc: 96.0331, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0483, loss: 0.8664 2023-11-14 04:54:42,981 - mmdet - INFO - Epoch [9][4750/7330] lr: 9.525e-07, eta: 4:32:18, time: 0.660, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1044, s0.acc: 95.9119, s0.loss_bbox: 0.1936, s0.loss_mask: 0.1919, s1.loss_cls: 0.0502, s1.acc: 96.0627, s1.loss_bbox: 0.0947, s1.loss_mask: 0.0997, s2.loss_cls: 0.0261, s2.acc: 95.7545, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0481, loss: 0.8800 2023-11-14 04:55:16,344 - mmdet - INFO - Epoch [9][4800/7330] lr: 9.525e-07, eta: 4:31:45, time: 0.667, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1121, s0.acc: 95.7053, s0.loss_bbox: 0.2054, s0.loss_mask: 0.1937, s1.loss_cls: 0.0532, s1.acc: 95.8918, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1011, s2.loss_cls: 0.0278, s2.acc: 95.6488, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0489, loss: 0.9217 2023-11-14 04:55:49,138 - mmdet - INFO - Epoch [9][4850/7330] lr: 9.525e-07, eta: 4:31:11, time: 0.656, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1115, s0.acc: 95.6853, s0.loss_bbox: 0.2049, s0.loss_mask: 0.1960, s1.loss_cls: 0.0540, s1.acc: 95.7605, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1024, s2.loss_cls: 0.0282, s2.acc: 95.5248, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0491, loss: 0.9214 2023-11-14 04:56:21,993 - mmdet - INFO - Epoch [9][4900/7330] lr: 9.525e-07, eta: 4:30:38, time: 0.657, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1030, s0.acc: 95.9753, s0.loss_bbox: 0.1975, s0.loss_mask: 0.1949, s1.loss_cls: 0.0485, s1.acc: 96.1913, s1.loss_bbox: 0.0974, s1.loss_mask: 0.1019, s2.loss_cls: 0.0259, s2.acc: 95.9141, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0491, loss: 0.8911 2023-11-14 04:56:57,240 - mmdet - INFO - Epoch [9][4950/7330] lr: 9.525e-07, eta: 4:30:05, time: 0.705, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1057, s0.acc: 95.9746, s0.loss_bbox: 0.1960, s0.loss_mask: 0.1908, s1.loss_cls: 0.0502, s1.acc: 96.1172, s1.loss_bbox: 0.0960, s1.loss_mask: 0.0995, s2.loss_cls: 0.0263, s2.acc: 95.8717, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0479, loss: 0.8863 2023-11-14 04:57:30,071 - mmdet - INFO - Epoch [9][5000/7330] lr: 9.525e-07, eta: 4:29:32, time: 0.657, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1030, s0.acc: 96.0405, s0.loss_bbox: 0.1891, s0.loss_mask: 0.1906, s1.loss_cls: 0.0484, s1.acc: 96.2369, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0992, s2.loss_cls: 0.0255, s2.acc: 95.9303, s2.loss_bbox: 0.0408, s2.loss_mask: 0.0477, loss: 0.8701 2023-11-14 04:58:02,976 - mmdet - INFO - Epoch [9][5050/7330] lr: 9.525e-07, eta: 4:28:59, time: 0.658, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1045, s0.acc: 95.9993, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1916, s1.loss_cls: 0.0489, s1.acc: 96.2005, s1.loss_bbox: 0.0966, s1.loss_mask: 0.1000, s2.loss_cls: 0.0256, s2.acc: 95.9961, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0480, loss: 0.8853 2023-11-14 04:58:36,582 - mmdet - INFO - Epoch [9][5100/7330] lr: 9.525e-07, eta: 4:28:26, time: 0.672, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1117, s0.acc: 95.7058, s0.loss_bbox: 0.2037, s0.loss_mask: 0.1985, s1.loss_cls: 0.0533, s1.acc: 95.8646, s1.loss_bbox: 0.0995, s1.loss_mask: 0.1030, s2.loss_cls: 0.0282, s2.acc: 95.5473, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0492, loss: 0.9264 2023-11-14 04:59:09,989 - mmdet - INFO - Epoch [9][5150/7330] lr: 9.525e-07, eta: 4:27:52, time: 0.668, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0209, s0.loss_cls: 0.1111, s0.acc: 95.7378, s0.loss_bbox: 0.2056, s0.loss_mask: 0.1981, s1.loss_cls: 0.0528, s1.acc: 95.9391, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1027, s2.loss_cls: 0.0279, s2.acc: 95.6262, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0495, loss: 0.9274 2023-11-14 04:59:45,578 - mmdet - INFO - Epoch [9][5200/7330] lr: 9.525e-07, eta: 4:27:20, time: 0.712, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1080, s0.acc: 95.8311, s0.loss_bbox: 0.2022, s0.loss_mask: 0.1932, s1.loss_cls: 0.0523, s1.acc: 95.9457, s1.loss_bbox: 0.0982, s1.loss_mask: 0.1008, s2.loss_cls: 0.0272, s2.acc: 95.6907, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0482, loss: 0.9059 2023-11-14 05:00:18,611 - mmdet - INFO - Epoch [9][5250/7330] lr: 9.525e-07, eta: 4:26:47, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1025, s0.acc: 96.0361, s0.loss_bbox: 0.1962, s0.loss_mask: 0.1927, s1.loss_cls: 0.0488, s1.acc: 96.2043, s1.loss_bbox: 0.0968, s1.loss_mask: 0.1000, s2.loss_cls: 0.0258, s2.acc: 95.9082, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0481, loss: 0.8852 2023-11-14 05:00:51,352 - mmdet - INFO - Epoch [9][5300/7330] lr: 9.525e-07, eta: 4:26:13, time: 0.655, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.1036, s0.acc: 95.9607, s0.loss_bbox: 0.1959, s0.loss_mask: 0.1910, s1.loss_cls: 0.0491, s1.acc: 96.1685, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1004, s2.loss_cls: 0.0261, s2.acc: 95.8361, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0483, loss: 0.8825 2023-11-14 05:01:24,417 - mmdet - INFO - Epoch [9][5350/7330] lr: 9.525e-07, eta: 4:25:40, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0208, s0.loss_cls: 0.1104, s0.acc: 95.7881, s0.loss_bbox: 0.2075, s0.loss_mask: 0.1963, s1.loss_cls: 0.0525, s1.acc: 95.9449, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1019, s2.loss_cls: 0.0278, s2.acc: 95.6127, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0490, loss: 0.9256 2023-11-14 05:01:59,833 - mmdet - INFO - Epoch [9][5400/7330] lr: 9.525e-07, eta: 4:25:07, time: 0.708, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1021, s0.acc: 95.9609, s0.loss_bbox: 0.1962, s0.loss_mask: 0.1937, s1.loss_cls: 0.0489, s1.acc: 96.0540, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1013, s2.loss_cls: 0.0255, s2.acc: 95.8309, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0488, loss: 0.8859 2023-11-14 05:02:32,996 - mmdet - INFO - Epoch [9][5450/7330] lr: 9.525e-07, eta: 4:24:34, time: 0.663, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1067, s0.acc: 95.9365, s0.loss_bbox: 0.2041, s0.loss_mask: 0.1919, s1.loss_cls: 0.0512, s1.acc: 96.0460, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1004, s2.loss_cls: 0.0269, s2.acc: 95.7438, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0482, loss: 0.9077 2023-11-14 05:03:06,168 - mmdet - INFO - Epoch [9][5500/7330] lr: 9.525e-07, eta: 4:24:01, time: 0.663, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1049, s0.acc: 95.9275, s0.loss_bbox: 0.2010, s0.loss_mask: 0.1955, s1.loss_cls: 0.0505, s1.acc: 96.0393, s1.loss_bbox: 0.0984, s1.loss_mask: 0.1015, s2.loss_cls: 0.0262, s2.acc: 95.7373, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0488, loss: 0.9028 2023-11-14 05:03:39,117 - mmdet - INFO - Epoch [9][5550/7330] lr: 9.525e-07, eta: 4:23:28, time: 0.659, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1052, s0.acc: 95.9358, s0.loss_bbox: 0.1947, s0.loss_mask: 0.1954, s1.loss_cls: 0.0509, s1.acc: 96.0087, s1.loss_bbox: 0.0948, s1.loss_mask: 0.1014, s2.loss_cls: 0.0265, s2.acc: 95.7887, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0490, loss: 0.8910 2023-11-14 05:04:12,182 - mmdet - INFO - Epoch [9][5600/7330] lr: 9.525e-07, eta: 4:22:54, time: 0.661, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.1084, s0.acc: 95.8140, s0.loss_bbox: 0.1979, s0.loss_mask: 0.1930, s1.loss_cls: 0.0519, s1.acc: 95.9146, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1015, s2.loss_cls: 0.0273, s2.acc: 95.6567, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0488, loss: 0.9003 2023-11-14 05:04:44,799 - mmdet - INFO - Epoch [9][5650/7330] lr: 9.525e-07, eta: 4:22:21, time: 0.652, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0987, s0.acc: 96.2026, s0.loss_bbox: 0.1888, s0.loss_mask: 0.1939, s1.loss_cls: 0.0466, s1.acc: 96.3756, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0998, s2.loss_cls: 0.0245, s2.acc: 96.1749, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0480, loss: 0.8657 2023-11-14 05:05:17,791 - mmdet - INFO - Epoch [9][5700/7330] lr: 9.525e-07, eta: 4:21:47, time: 0.660, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1032, s0.acc: 95.9985, s0.loss_bbox: 0.1948, s0.loss_mask: 0.1937, s1.loss_cls: 0.0497, s1.acc: 96.1351, s1.loss_bbox: 0.0966, s1.loss_mask: 0.1012, s2.loss_cls: 0.0261, s2.acc: 95.8359, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0492, loss: 0.8881 2023-11-14 05:05:51,040 - mmdet - INFO - Epoch [9][5750/7330] lr: 9.525e-07, eta: 4:21:14, time: 0.665, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0165, s0.loss_cls: 0.1050, s0.acc: 95.9849, s0.loss_bbox: 0.1943, s0.loss_mask: 0.1908, s1.loss_cls: 0.0504, s1.acc: 96.1506, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1000, s2.loss_cls: 0.0264, s2.acc: 95.8156, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0482, loss: 0.8826 2023-11-14 05:06:23,752 - mmdet - INFO - Epoch [9][5800/7330] lr: 9.525e-07, eta: 4:20:41, time: 0.654, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1046, s0.acc: 95.9128, s0.loss_bbox: 0.2006, s0.loss_mask: 0.1950, s1.loss_cls: 0.0506, s1.acc: 95.9434, s1.loss_bbox: 0.0982, s1.loss_mask: 0.1009, s2.loss_cls: 0.0264, s2.acc: 95.7073, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0484, loss: 0.8972 2023-11-14 05:06:56,876 - mmdet - INFO - Epoch [9][5850/7330] lr: 9.525e-07, eta: 4:20:07, time: 0.662, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0212, s0.loss_cls: 0.1116, s0.acc: 95.6733, s0.loss_bbox: 0.2049, s0.loss_mask: 0.1952, s1.loss_cls: 0.0536, s1.acc: 95.8819, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1020, s2.loss_cls: 0.0279, s2.acc: 95.5798, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0489, loss: 0.9244 2023-11-14 05:07:35,816 - mmdet - INFO - Epoch [9][5900/7330] lr: 9.525e-07, eta: 4:19:36, time: 0.779, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1110, s0.acc: 95.6790, s0.loss_bbox: 0.2068, s0.loss_mask: 0.1948, s1.loss_cls: 0.0532, s1.acc: 95.8550, s1.loss_bbox: 0.1015, s1.loss_mask: 0.1018, s2.loss_cls: 0.0278, s2.acc: 95.5876, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0490, loss: 0.9233 2023-11-14 05:08:08,871 - mmdet - INFO - Epoch [9][5950/7330] lr: 9.525e-07, eta: 4:19:03, time: 0.661, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1033, s0.acc: 95.9946, s0.loss_bbox: 0.1913, s0.loss_mask: 0.1902, s1.loss_cls: 0.0488, s1.acc: 96.1502, s1.loss_bbox: 0.0950, s1.loss_mask: 0.1003, s2.loss_cls: 0.0257, s2.acc: 95.9256, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0483, loss: 0.8755 2023-11-14 05:08:42,157 - mmdet - INFO - Epoch [9][6000/7330] lr: 9.525e-07, eta: 4:18:30, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1059, s0.acc: 95.9126, s0.loss_bbox: 0.1984, s0.loss_mask: 0.1951, s1.loss_cls: 0.0513, s1.acc: 96.0280, s1.loss_bbox: 0.0980, s1.loss_mask: 0.1020, s2.loss_cls: 0.0268, s2.acc: 95.7813, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0491, loss: 0.9034 2023-11-14 05:09:15,498 - mmdet - INFO - Epoch [9][6050/7330] lr: 9.525e-07, eta: 4:17:56, time: 0.667, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1051, s0.acc: 95.9033, s0.loss_bbox: 0.1984, s0.loss_mask: 0.1906, s1.loss_cls: 0.0510, s1.acc: 96.0271, s1.loss_bbox: 0.0964, s1.loss_mask: 0.0992, s2.loss_cls: 0.0267, s2.acc: 95.7697, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0478, loss: 0.8887 2023-11-14 05:09:48,979 - mmdet - INFO - Epoch [9][6100/7330] lr: 9.525e-07, eta: 4:17:23, time: 0.670, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1142, s0.acc: 95.6370, s0.loss_bbox: 0.2085, s0.loss_mask: 0.1958, s1.loss_cls: 0.0540, s1.acc: 95.8197, s1.loss_bbox: 0.1021, s1.loss_mask: 0.1027, s2.loss_cls: 0.0284, s2.acc: 95.5389, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0496, loss: 0.9353 2023-11-14 05:10:22,343 - mmdet - INFO - Epoch [9][6150/7330] lr: 9.525e-07, eta: 4:16:50, time: 0.667, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1012, s0.acc: 96.0994, s0.loss_bbox: 0.1898, s0.loss_mask: 0.1909, s1.loss_cls: 0.0478, s1.acc: 96.2706, s1.loss_bbox: 0.0938, s1.loss_mask: 0.1003, s2.loss_cls: 0.0253, s2.acc: 95.9346, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0482, loss: 0.8693 2023-11-14 05:10:55,595 - mmdet - INFO - Epoch [9][6200/7330] lr: 9.525e-07, eta: 4:16:17, time: 0.665, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1119, s0.acc: 95.6960, s0.loss_bbox: 0.2084, s0.loss_mask: 0.1962, s1.loss_cls: 0.0526, s1.acc: 95.8691, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1019, s2.loss_cls: 0.0273, s2.acc: 95.6488, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0490, loss: 0.9263 2023-11-14 05:11:28,619 - mmdet - INFO - Epoch [9][6250/7330] lr: 9.525e-07, eta: 4:15:43, time: 0.661, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1086, s0.acc: 95.8142, s0.loss_bbox: 0.2050, s0.loss_mask: 0.1930, s1.loss_cls: 0.0518, s1.acc: 95.9810, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1009, s2.loss_cls: 0.0269, s2.acc: 95.7401, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0485, loss: 0.9129 2023-11-14 05:12:01,560 - mmdet - INFO - Epoch [9][6300/7330] lr: 9.525e-07, eta: 4:15:10, time: 0.659, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1046, s0.acc: 95.9714, s0.loss_bbox: 0.1981, s0.loss_mask: 0.1938, s1.loss_cls: 0.0493, s1.acc: 96.1623, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1013, s2.loss_cls: 0.0261, s2.acc: 95.9365, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0488, loss: 0.8956 2023-11-14 05:12:34,684 - mmdet - INFO - Epoch [9][6350/7330] lr: 9.525e-07, eta: 4:14:37, time: 0.663, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1070, s0.acc: 95.9185, s0.loss_bbox: 0.1997, s0.loss_mask: 0.1948, s1.loss_cls: 0.0516, s1.acc: 96.0169, s1.loss_bbox: 0.0982, s1.loss_mask: 0.1013, s2.loss_cls: 0.0268, s2.acc: 95.7773, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0484, loss: 0.9010 2023-11-14 05:13:08,108 - mmdet - INFO - Epoch [9][6400/7330] lr: 9.525e-07, eta: 4:14:04, time: 0.668, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1062, s0.acc: 95.8660, s0.loss_bbox: 0.1979, s0.loss_mask: 0.1933, s1.loss_cls: 0.0508, s1.acc: 95.9588, s1.loss_bbox: 0.0975, s1.loss_mask: 0.1008, s2.loss_cls: 0.0267, s2.acc: 95.7383, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0483, loss: 0.8967 2023-11-14 05:13:43,853 - mmdet - INFO - Epoch [9][6450/7330] lr: 9.525e-07, eta: 4:13:31, time: 0.715, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1090, s0.acc: 95.8032, s0.loss_bbox: 0.1992, s0.loss_mask: 0.1984, s1.loss_cls: 0.0530, s1.acc: 95.8902, s1.loss_bbox: 0.0981, s1.loss_mask: 0.1029, s2.loss_cls: 0.0277, s2.acc: 95.6539, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0493, loss: 0.9162 2023-11-14 05:14:17,011 - mmdet - INFO - Epoch [9][6500/7330] lr: 9.525e-07, eta: 4:12:58, time: 0.663, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1048, s0.acc: 95.9739, s0.loss_bbox: 0.1956, s0.loss_mask: 0.1905, s1.loss_cls: 0.0509, s1.acc: 96.0412, s1.loss_bbox: 0.0963, s1.loss_mask: 0.0999, s2.loss_cls: 0.0260, s2.acc: 95.8591, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0480, loss: 0.8867 2023-11-14 05:14:49,748 - mmdet - INFO - Epoch [9][6550/7330] lr: 9.525e-07, eta: 4:12:24, time: 0.655, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1069, s0.acc: 95.8035, s0.loss_bbox: 0.2027, s0.loss_mask: 0.1956, s1.loss_cls: 0.0511, s1.acc: 95.9959, s1.loss_bbox: 0.0992, s1.loss_mask: 0.1011, s2.loss_cls: 0.0267, s2.acc: 95.7925, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0488, loss: 0.9080 2023-11-14 05:15:25,263 - mmdet - INFO - Epoch [9][6600/7330] lr: 9.525e-07, eta: 4:11:52, time: 0.710, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1047, s0.acc: 95.9553, s0.loss_bbox: 0.1943, s0.loss_mask: 0.1890, s1.loss_cls: 0.0500, s1.acc: 96.1038, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0983, s2.loss_cls: 0.0265, s2.acc: 95.7870, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0471, loss: 0.8787 2023-11-14 05:15:58,508 - mmdet - INFO - Epoch [9][6650/7330] lr: 9.525e-07, eta: 4:11:19, time: 0.665, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1040, s0.acc: 95.9688, s0.loss_bbox: 0.1967, s0.loss_mask: 0.1937, s1.loss_cls: 0.0497, s1.acc: 96.1177, s1.loss_bbox: 0.0972, s1.loss_mask: 0.1009, s2.loss_cls: 0.0267, s2.acc: 95.7422, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0486, loss: 0.8934 2023-11-14 05:16:31,587 - mmdet - INFO - Epoch [9][6700/7330] lr: 9.525e-07, eta: 4:10:45, time: 0.662, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1114, s0.acc: 95.6936, s0.loss_bbox: 0.2038, s0.loss_mask: 0.1970, s1.loss_cls: 0.0534, s1.acc: 95.8429, s1.loss_bbox: 0.0991, s1.loss_mask: 0.1017, s2.loss_cls: 0.0278, s2.acc: 95.5376, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0490, loss: 0.9205 2023-11-14 05:17:04,382 - mmdet - INFO - Epoch [9][6750/7330] lr: 9.525e-07, eta: 4:10:12, time: 0.656, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1026, s0.acc: 96.0269, s0.loss_bbox: 0.1928, s0.loss_mask: 0.1902, s1.loss_cls: 0.0486, s1.acc: 96.1683, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0994, s2.loss_cls: 0.0252, s2.acc: 96.0104, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0477, loss: 0.8730 2023-11-14 05:17:37,526 - mmdet - INFO - Epoch [9][6800/7330] lr: 9.525e-07, eta: 4:09:39, time: 0.663, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1051, s0.acc: 95.9331, s0.loss_bbox: 0.1952, s0.loss_mask: 0.1928, s1.loss_cls: 0.0501, s1.acc: 96.0544, s1.loss_bbox: 0.0964, s1.loss_mask: 0.1010, s2.loss_cls: 0.0262, s2.acc: 95.8005, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0486, loss: 0.8905 2023-11-14 05:18:10,994 - mmdet - INFO - Epoch [9][6850/7330] lr: 9.525e-07, eta: 4:09:06, time: 0.669, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1074, s0.acc: 95.9187, s0.loss_bbox: 0.1997, s0.loss_mask: 0.1915, s1.loss_cls: 0.0516, s1.acc: 96.0543, s1.loss_bbox: 0.0981, s1.loss_mask: 0.0999, s2.loss_cls: 0.0273, s2.acc: 95.7995, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0480, loss: 0.8989 2023-11-14 05:18:44,167 - mmdet - INFO - Epoch [9][6900/7330] lr: 9.525e-07, eta: 4:08:32, time: 0.664, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1095, s0.acc: 95.8567, s0.loss_bbox: 0.1981, s0.loss_mask: 0.1991, s1.loss_cls: 0.0520, s1.acc: 95.9334, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1035, s2.loss_cls: 0.0269, s2.acc: 95.7521, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0497, loss: 0.9104 2023-11-14 05:19:17,324 - mmdet - INFO - Epoch [9][6950/7330] lr: 9.525e-07, eta: 4:07:59, time: 0.663, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1028, s0.acc: 96.0107, s0.loss_bbox: 0.1967, s0.loss_mask: 0.1902, s1.loss_cls: 0.0494, s1.acc: 96.0467, s1.loss_bbox: 0.0978, s1.loss_mask: 0.0989, s2.loss_cls: 0.0259, s2.acc: 95.8220, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0476, loss: 0.8860 2023-11-14 05:19:50,582 - mmdet - INFO - Epoch [9][7000/7330] lr: 9.525e-07, eta: 4:07:26, time: 0.665, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1014, s0.acc: 96.0674, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1933, s1.loss_cls: 0.0486, s1.acc: 96.2055, s1.loss_bbox: 0.0972, s1.loss_mask: 0.1015, s2.loss_cls: 0.0253, s2.acc: 96.0328, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0487, loss: 0.8856 2023-11-14 05:20:23,272 - mmdet - INFO - Epoch [9][7050/7330] lr: 9.525e-07, eta: 4:06:52, time: 0.654, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1006, s0.acc: 96.0991, s0.loss_bbox: 0.1884, s0.loss_mask: 0.1903, s1.loss_cls: 0.0480, s1.acc: 96.2297, s1.loss_bbox: 0.0926, s1.loss_mask: 0.0986, s2.loss_cls: 0.0252, s2.acc: 95.9640, s2.loss_bbox: 0.0406, s2.loss_mask: 0.0475, loss: 0.8616 2023-11-14 05:20:56,283 - mmdet - INFO - Epoch [9][7100/7330] lr: 9.525e-07, eta: 4:06:19, time: 0.660, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1072, s0.acc: 95.8809, s0.loss_bbox: 0.1982, s0.loss_mask: 0.1902, s1.loss_cls: 0.0514, s1.acc: 95.9915, s1.loss_bbox: 0.0982, s1.loss_mask: 0.0997, s2.loss_cls: 0.0267, s2.acc: 95.7537, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0481, loss: 0.8972 2023-11-14 05:21:29,367 - mmdet - INFO - Epoch [9][7150/7330] lr: 9.525e-07, eta: 4:05:46, time: 0.662, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1103, s0.acc: 95.7500, s0.loss_bbox: 0.2014, s0.loss_mask: 0.1959, s1.loss_cls: 0.0522, s1.acc: 95.9061, s1.loss_bbox: 0.0980, s1.loss_mask: 0.1016, s2.loss_cls: 0.0271, s2.acc: 95.6328, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0489, loss: 0.9113 2023-11-14 05:22:02,574 - mmdet - INFO - Epoch [9][7200/7330] lr: 9.525e-07, eta: 4:05:12, time: 0.664, data_time: 0.033, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1020, s0.acc: 96.0718, s0.loss_bbox: 0.1950, s0.loss_mask: 0.1903, s1.loss_cls: 0.0485, s1.acc: 96.2021, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0994, s2.loss_cls: 0.0253, s2.acc: 96.0116, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0479, loss: 0.8750 2023-11-14 05:22:36,014 - mmdet - INFO - Epoch [9][7250/7330] lr: 9.525e-07, eta: 4:04:39, time: 0.669, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1051, s0.acc: 95.9624, s0.loss_bbox: 0.1997, s0.loss_mask: 0.1930, s1.loss_cls: 0.0499, s1.acc: 96.1776, s1.loss_bbox: 0.0977, s1.loss_mask: 0.1002, s2.loss_cls: 0.0260, s2.acc: 95.9386, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0482, loss: 0.8952 2023-11-14 05:23:08,986 - mmdet - INFO - Epoch [9][7300/7330] lr: 9.525e-07, eta: 4:04:06, time: 0.659, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1011, s0.acc: 96.1018, s0.loss_bbox: 0.1965, s0.loss_mask: 0.1890, s1.loss_cls: 0.0482, s1.acc: 96.2513, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0988, s2.loss_cls: 0.0256, s2.acc: 95.9642, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0473, loss: 0.8765 2023-11-14 05:23:29,502 - mmdet - INFO - Saving checkpoint at 9 epochs 2023-11-14 05:24:50,994 - mmdet - INFO - Evaluating bbox... 2023-11-14 05:25:17,901 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.555 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.744 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.602 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.380 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.720 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.669 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.669 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.669 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.492 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.713 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.823 2023-11-14 05:25:17,903 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.640 | bicycle | 0.435 | car | 0.550 | | motorcycle | 0.547 | airplane | 0.764 | bus | 0.753 | | train | 0.764 | truck | 0.503 | boat | 0.396 | | traffic light | 0.341 | fire hydrant | 0.782 | stop sign | 0.743 | | parking meter | 0.530 | bench | 0.383 | bird | 0.474 | | cat | 0.815 | dog | 0.779 | horse | 0.716 | | sheep | 0.645 | cow | 0.692 | elephant | 0.772 | | bear | 0.814 | zebra | 0.753 | giraffe | 0.777 | | backpack | 0.279 | umbrella | 0.528 | handbag | 0.301 | | tie | 0.481 | suitcase | 0.545 | frisbee | 0.753 | | skis | 0.372 | snowboard | 0.531 | sports ball | 0.537 | | kite | 0.526 | baseball bat | 0.543 | baseball glove | 0.511 | | skateboard | 0.646 | surfboard | 0.544 | tennis racket | 0.649 | | bottle | 0.523 | wine glass | 0.487 | cup | 0.578 | | fork | 0.567 | knife | 0.393 | spoon | 0.398 | | bowl | 0.548 | banana | 0.354 | apple | 0.317 | | sandwich | 0.542 | orange | 0.381 | broccoli | 0.305 | | carrot | 0.317 | hot dog | 0.565 | pizza | 0.624 | | donut | 0.650 | cake | 0.531 | chair | 0.426 | | couch | 0.554 | potted plant | 0.408 | bed | 0.561 | | dining table | 0.375 | toilet | 0.724 | tv | 0.680 | | laptop | 0.771 | mouse | 0.686 | remote | 0.538 | | keyboard | 0.628 | cell phone | 0.537 | microwave | 0.703 | | oven | 0.454 | toaster | 0.500 | sink | 0.506 | | refrigerator | 0.750 | book | 0.252 | clock | 0.556 | | vase | 0.483 | scissors | 0.541 | teddy bear | 0.658 | | hair drier | 0.381 | toothbrush | 0.494 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 05:25:17,903 - mmdet - INFO - Evaluating segm... 2023-11-14 05:25:45,287 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.479 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.719 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.524 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.281 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.513 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.673 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.587 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.587 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.587 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.414 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.628 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.746 2023-11-14 05:25:45,290 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.541 | bicycle | 0.260 | car | 0.493 | | motorcycle | 0.439 | airplane | 0.570 | bus | 0.714 | | train | 0.732 | truck | 0.473 | boat | 0.356 | | traffic light | 0.326 | fire hydrant | 0.723 | stop sign | 0.702 | | parking meter | 0.506 | bench | 0.282 | bird | 0.380 | | cat | 0.761 | dog | 0.688 | horse | 0.526 | | sheep | 0.561 | cow | 0.574 | elephant | 0.670 | | bear | 0.788 | zebra | 0.638 | giraffe | 0.600 | | backpack | 0.269 | umbrella | 0.557 | handbag | 0.266 | | tie | 0.427 | suitcase | 0.553 | frisbee | 0.685 | | skis | 0.088 | snowboard | 0.352 | sports ball | 0.511 | | kite | 0.367 | baseball bat | 0.364 | baseball glove | 0.517 | | skateboard | 0.427 | surfboard | 0.443 | tennis racket | 0.650 | | bottle | 0.483 | wine glass | 0.428 | cup | 0.558 | | fork | 0.293 | knife | 0.272 | spoon | 0.261 | | bowl | 0.488 | banana | 0.293 | apple | 0.301 | | sandwich | 0.534 | orange | 0.370 | broccoli | 0.264 | | carrot | 0.268 | hot dog | 0.463 | pizza | 0.577 | | donut | 0.627 | cake | 0.512 | chair | 0.301 | | couch | 0.445 | potted plant | 0.328 | bed | 0.427 | | dining table | 0.210 | toilet | 0.674 | tv | 0.695 | | laptop | 0.726 | mouse | 0.659 | remote | 0.451 | | keyboard | 0.581 | cell phone | 0.490 | microwave | 0.694 | | oven | 0.382 | toaster | 0.538 | sink | 0.449 | | refrigerator | 0.716 | book | 0.189 | clock | 0.543 | | vase | 0.457 | scissors | 0.379 | teddy bear | 0.593 | | hair drier | 0.347 | toothbrush | 0.308 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 05:25:45,682 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco/best_bbox_mAP_epoch_8.pth was removed 2023-11-14 05:25:54,003 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_9.pth. 2023-11-14 05:25:54,003 - mmdet - INFO - Best bbox_mAP is 0.5545 at 9 epoch. 2023-11-14 05:25:54,004 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 05:25:54,004 - mmdet - INFO - Epoch(val) [9][625] bbox_mAP: 0.5545, bbox_mAP_50: 0.7435, bbox_mAP_75: 0.6018, bbox_mAP_s: 0.3796, bbox_mAP_m: 0.5969, bbox_mAP_l: 0.7197, bbox_mAP_copypaste: 0.5545 0.7435 0.6018 0.3796 0.5969 0.7197, segm_mAP: 0.4794, segm_mAP_50: 0.7187, segm_mAP_75: 0.5244, segm_mAP_s: 0.2806, segm_mAP_m: 0.5129, segm_mAP_l: 0.6733, segm_mAP_copypaste: 0.4794 0.7187 0.5244 0.2806 0.5129 0.6733 2023-11-14 05:26:30,975 - mmdet - INFO - Epoch [10][50/7330] lr: 9.525e-07, eta: 4:03:07, time: 0.739, data_time: 0.090, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1053, s0.acc: 95.9534, s0.loss_bbox: 0.1980, s0.loss_mask: 0.1934, s1.loss_cls: 0.0506, s1.acc: 96.1189, s1.loss_bbox: 0.0972, s1.loss_mask: 0.1013, s2.loss_cls: 0.0264, s2.acc: 95.9120, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0490, loss: 0.8966 2023-11-14 05:27:04,541 - mmdet - INFO - Epoch [10][100/7330] lr: 9.525e-07, eta: 4:02:34, time: 0.671, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1015, s0.acc: 96.1343, s0.loss_bbox: 0.1895, s0.loss_mask: 0.1884, s1.loss_cls: 0.0489, s1.acc: 96.2544, s1.loss_bbox: 0.0936, s1.loss_mask: 0.0979, s2.loss_cls: 0.0254, s2.acc: 96.0916, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0473, loss: 0.8654 2023-11-14 05:27:37,981 - mmdet - INFO - Epoch [10][150/7330] lr: 9.525e-07, eta: 4:02:01, time: 0.669, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1030, s0.acc: 96.0029, s0.loss_bbox: 0.1912, s0.loss_mask: 0.1881, s1.loss_cls: 0.0494, s1.acc: 96.1632, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0988, s2.loss_cls: 0.0260, s2.acc: 95.9095, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0479, loss: 0.8722 2023-11-14 05:28:10,915 - mmdet - INFO - Epoch [10][200/7330] lr: 9.525e-07, eta: 4:01:27, time: 0.659, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1044, s0.acc: 95.9568, s0.loss_bbox: 0.2030, s0.loss_mask: 0.1944, s1.loss_cls: 0.0493, s1.acc: 96.0658, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1018, s2.loss_cls: 0.0258, s2.acc: 95.8018, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0491, loss: 0.9037 2023-11-14 05:28:44,363 - mmdet - INFO - Epoch [10][250/7330] lr: 9.525e-07, eta: 4:00:54, time: 0.669, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1060, s0.acc: 95.8818, s0.loss_bbox: 0.2044, s0.loss_mask: 0.1954, s1.loss_cls: 0.0499, s1.acc: 96.1025, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1010, s2.loss_cls: 0.0264, s2.acc: 95.8493, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0485, loss: 0.9088 2023-11-14 05:29:17,462 - mmdet - INFO - Epoch [10][300/7330] lr: 9.525e-07, eta: 4:00:21, time: 0.662, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.1010, s0.acc: 96.0769, s0.loss_bbox: 0.1953, s0.loss_mask: 0.1917, s1.loss_cls: 0.0479, s1.acc: 96.2607, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1002, s2.loss_cls: 0.0257, s2.acc: 95.9032, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0481, loss: 0.8795 2023-11-14 05:29:50,427 - mmdet - INFO - Epoch [10][350/7330] lr: 9.525e-07, eta: 3:59:48, time: 0.659, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.0998, s0.acc: 96.1243, s0.loss_bbox: 0.1987, s0.loss_mask: 0.1931, s1.loss_cls: 0.0470, s1.acc: 96.2726, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1014, s2.loss_cls: 0.0250, s2.acc: 96.0111, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0492, loss: 0.8865 2023-11-14 05:30:23,939 - mmdet - INFO - Epoch [10][400/7330] lr: 9.525e-07, eta: 3:59:14, time: 0.670, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1070, s0.acc: 95.8601, s0.loss_bbox: 0.2027, s0.loss_mask: 0.1956, s1.loss_cls: 0.0504, s1.acc: 96.0493, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1026, s2.loss_cls: 0.0269, s2.acc: 95.7166, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0491, loss: 0.9099 2023-11-14 05:30:57,088 - mmdet - INFO - Epoch [10][450/7330] lr: 9.525e-07, eta: 3:58:41, time: 0.663, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1037, s0.acc: 96.0044, s0.loss_bbox: 0.1910, s0.loss_mask: 0.1896, s1.loss_cls: 0.0493, s1.acc: 96.1855, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0991, s2.loss_cls: 0.0257, s2.acc: 95.9244, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0478, loss: 0.8718 2023-11-14 05:31:30,407 - mmdet - INFO - Epoch [10][500/7330] lr: 9.525e-07, eta: 3:58:08, time: 0.666, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1046, s0.acc: 95.9414, s0.loss_bbox: 0.1972, s0.loss_mask: 0.1929, s1.loss_cls: 0.0495, s1.acc: 96.1483, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1016, s2.loss_cls: 0.0261, s2.acc: 95.8773, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0490, loss: 0.8936 2023-11-14 05:32:03,428 - mmdet - INFO - Epoch [10][550/7330] lr: 9.525e-07, eta: 3:57:35, time: 0.660, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1073, s0.acc: 95.8508, s0.loss_bbox: 0.1994, s0.loss_mask: 0.1928, s1.loss_cls: 0.0515, s1.acc: 95.9379, s1.loss_bbox: 0.0983, s1.loss_mask: 0.1013, s2.loss_cls: 0.0274, s2.acc: 95.5692, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0486, loss: 0.9030 2023-11-14 05:32:36,861 - mmdet - INFO - Epoch [10][600/7330] lr: 9.525e-07, eta: 3:57:01, time: 0.669, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1010, s0.acc: 96.1123, s0.loss_bbox: 0.1862, s0.loss_mask: 0.1857, s1.loss_cls: 0.0470, s1.acc: 96.3610, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0977, s2.loss_cls: 0.0246, s2.acc: 96.1470, s2.loss_bbox: 0.0407, s2.loss_mask: 0.0474, loss: 0.8534 2023-11-14 05:33:10,107 - mmdet - INFO - Epoch [10][650/7330] lr: 9.525e-07, eta: 3:56:28, time: 0.665, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1022, s0.acc: 95.9915, s0.loss_bbox: 0.1958, s0.loss_mask: 0.1893, s1.loss_cls: 0.0490, s1.acc: 96.0470, s1.loss_bbox: 0.0962, s1.loss_mask: 0.0991, s2.loss_cls: 0.0260, s2.acc: 95.8412, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0473, loss: 0.8787 2023-11-14 05:33:43,105 - mmdet - INFO - Epoch [10][700/7330] lr: 9.525e-07, eta: 3:55:55, time: 0.660, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.0989, s0.acc: 96.1797, s0.loss_bbox: 0.1906, s0.loss_mask: 0.1902, s1.loss_cls: 0.0464, s1.acc: 96.3700, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0989, s2.loss_cls: 0.0244, s2.acc: 96.0532, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0478, loss: 0.8628 2023-11-14 05:34:16,462 - mmdet - INFO - Epoch [10][750/7330] lr: 9.525e-07, eta: 3:55:22, time: 0.667, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1116, s0.acc: 95.6763, s0.loss_bbox: 0.2086, s0.loss_mask: 0.1992, s1.loss_cls: 0.0528, s1.acc: 95.8476, s1.loss_bbox: 0.1014, s1.loss_mask: 0.1035, s2.loss_cls: 0.0278, s2.acc: 95.5381, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0494, loss: 0.9307 2023-11-14 05:34:49,511 - mmdet - INFO - Epoch [10][800/7330] lr: 9.525e-07, eta: 3:54:48, time: 0.661, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1054, s0.acc: 95.8767, s0.loss_bbox: 0.1982, s0.loss_mask: 0.1982, s1.loss_cls: 0.0503, s1.acc: 96.0049, s1.loss_bbox: 0.0971, s1.loss_mask: 0.1030, s2.loss_cls: 0.0262, s2.acc: 95.7789, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0497, loss: 0.9032 2023-11-14 05:35:22,279 - mmdet - INFO - Epoch [10][850/7330] lr: 9.525e-07, eta: 3:54:15, time: 0.655, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0997, s0.acc: 96.1504, s0.loss_bbox: 0.1933, s0.loss_mask: 0.1901, s1.loss_cls: 0.0470, s1.acc: 96.3296, s1.loss_bbox: 0.0964, s1.loss_mask: 0.0995, s2.loss_cls: 0.0250, s2.acc: 96.0309, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0481, loss: 0.8706 2023-11-14 05:35:55,545 - mmdet - INFO - Epoch [10][900/7330] lr: 9.525e-07, eta: 3:53:42, time: 0.665, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.1003, s0.acc: 96.1316, s0.loss_bbox: 0.1922, s0.loss_mask: 0.1890, s1.loss_cls: 0.0478, s1.acc: 96.2493, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0990, s2.loss_cls: 0.0250, s2.acc: 96.0255, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0479, loss: 0.8685 2023-11-14 05:36:28,392 - mmdet - INFO - Epoch [10][950/7330] lr: 9.525e-07, eta: 3:53:08, time: 0.657, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0164, s0.loss_cls: 0.0996, s0.acc: 96.0701, s0.loss_bbox: 0.1962, s0.loss_mask: 0.1910, s1.loss_cls: 0.0467, s1.acc: 96.2606, s1.loss_bbox: 0.0973, s1.loss_mask: 0.1000, s2.loss_cls: 0.0250, s2.acc: 95.9489, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0483, loss: 0.8744 2023-11-14 05:37:02,148 - mmdet - INFO - Epoch [10][1000/7330] lr: 9.525e-07, eta: 3:52:35, time: 0.675, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1059, s0.acc: 95.8884, s0.loss_bbox: 0.1991, s0.loss_mask: 0.1932, s1.loss_cls: 0.0502, s1.acc: 96.0552, s1.loss_bbox: 0.0981, s1.loss_mask: 0.1011, s2.loss_cls: 0.0267, s2.acc: 95.7022, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0486, loss: 0.8975 2023-11-14 05:37:35,914 - mmdet - INFO - Epoch [10][1050/7330] lr: 9.525e-07, eta: 3:52:02, time: 0.675, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1077, s0.acc: 95.8938, s0.loss_bbox: 0.1982, s0.loss_mask: 0.1910, s1.loss_cls: 0.0514, s1.acc: 96.0279, s1.loss_bbox: 0.0961, s1.loss_mask: 0.0994, s2.loss_cls: 0.0271, s2.acc: 95.7677, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0477, loss: 0.8954 2023-11-14 05:38:09,300 - mmdet - INFO - Epoch [10][1100/7330] lr: 9.525e-07, eta: 3:51:29, time: 0.668, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1064, s0.acc: 95.9919, s0.loss_bbox: 0.1990, s0.loss_mask: 0.1967, s1.loss_cls: 0.0505, s1.acc: 96.1744, s1.loss_bbox: 0.0980, s1.loss_mask: 0.1022, s2.loss_cls: 0.0266, s2.acc: 95.8022, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0493, loss: 0.9060 2023-11-14 05:38:42,342 - mmdet - INFO - Epoch [10][1150/7330] lr: 9.525e-07, eta: 3:50:56, time: 0.661, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1064, s0.acc: 95.8452, s0.loss_bbox: 0.2020, s0.loss_mask: 0.1972, s1.loss_cls: 0.0511, s1.acc: 95.9570, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1029, s2.loss_cls: 0.0265, s2.acc: 95.7103, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0495, loss: 0.9084 2023-11-14 05:39:15,725 - mmdet - INFO - Epoch [10][1200/7330] lr: 9.525e-07, eta: 3:50:23, time: 0.668, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1076, s0.acc: 95.8240, s0.loss_bbox: 0.2030, s0.loss_mask: 0.1917, s1.loss_cls: 0.0509, s1.acc: 96.0035, s1.loss_bbox: 0.0999, s1.loss_mask: 0.1005, s2.loss_cls: 0.0269, s2.acc: 95.7093, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0485, loss: 0.9053 2023-11-14 05:39:48,628 - mmdet - INFO - Epoch [10][1250/7330] lr: 9.525e-07, eta: 3:49:49, time: 0.658, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1026, s0.acc: 96.0437, s0.loss_bbox: 0.1927, s0.loss_mask: 0.1884, s1.loss_cls: 0.0489, s1.acc: 96.2205, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0990, s2.loss_cls: 0.0260, s2.acc: 95.9320, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0481, loss: 0.8745 2023-11-14 05:40:21,746 - mmdet - INFO - Epoch [10][1300/7330] lr: 9.525e-07, eta: 3:49:16, time: 0.662, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1046, s0.acc: 95.9373, s0.loss_bbox: 0.2006, s0.loss_mask: 0.1956, s1.loss_cls: 0.0491, s1.acc: 96.0928, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1019, s2.loss_cls: 0.0261, s2.acc: 95.8126, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0491, loss: 0.9005 2023-11-14 05:40:54,799 - mmdet - INFO - Epoch [10][1350/7330] lr: 9.525e-07, eta: 3:48:43, time: 0.661, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1012, s0.acc: 96.0723, s0.loss_bbox: 0.1864, s0.loss_mask: 0.1899, s1.loss_cls: 0.0484, s1.acc: 96.1856, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0990, s2.loss_cls: 0.0252, s2.acc: 95.9137, s2.loss_bbox: 0.0408, s2.loss_mask: 0.0480, loss: 0.8613 2023-11-14 05:41:27,972 - mmdet - INFO - Epoch [10][1400/7330] lr: 9.525e-07, eta: 3:48:09, time: 0.663, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1045, s0.acc: 95.9956, s0.loss_bbox: 0.1940, s0.loss_mask: 0.1921, s1.loss_cls: 0.0493, s1.acc: 96.2197, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0996, s2.loss_cls: 0.0262, s2.acc: 95.9232, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0480, loss: 0.8825 2023-11-14 05:42:01,023 - mmdet - INFO - Epoch [10][1450/7330] lr: 9.525e-07, eta: 3:47:36, time: 0.661, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1064, s0.acc: 95.9358, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1955, s1.loss_cls: 0.0498, s1.acc: 96.1440, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1027, s2.loss_cls: 0.0265, s2.acc: 95.8056, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0496, loss: 0.8980 2023-11-14 05:42:34,195 - mmdet - INFO - Epoch [10][1500/7330] lr: 9.525e-07, eta: 3:47:03, time: 0.664, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1075, s0.acc: 95.8625, s0.loss_bbox: 0.1988, s0.loss_mask: 0.1946, s1.loss_cls: 0.0511, s1.acc: 95.9981, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1009, s2.loss_cls: 0.0264, s2.acc: 95.7474, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0487, loss: 0.8993 2023-11-14 05:43:07,124 - mmdet - INFO - Epoch [10][1550/7330] lr: 9.525e-07, eta: 3:46:29, time: 0.658, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1044, s0.acc: 95.9639, s0.loss_bbox: 0.1941, s0.loss_mask: 0.1882, s1.loss_cls: 0.0496, s1.acc: 96.0904, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0987, s2.loss_cls: 0.0259, s2.acc: 95.8519, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0472, loss: 0.8751 2023-11-14 05:43:39,993 - mmdet - INFO - Epoch [10][1600/7330] lr: 9.525e-07, eta: 3:45:56, time: 0.657, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0966, s0.acc: 96.2659, s0.loss_bbox: 0.1907, s0.loss_mask: 0.1876, s1.loss_cls: 0.0457, s1.acc: 96.4367, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0967, s2.loss_cls: 0.0241, s2.acc: 96.1735, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0465, loss: 0.8514 2023-11-14 05:44:13,299 - mmdet - INFO - Epoch [10][1650/7330] lr: 9.525e-07, eta: 3:45:23, time: 0.666, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1035, s0.acc: 95.9976, s0.loss_bbox: 0.1975, s0.loss_mask: 0.1936, s1.loss_cls: 0.0482, s1.acc: 96.2337, s1.loss_bbox: 0.0975, s1.loss_mask: 0.1012, s2.loss_cls: 0.0256, s2.acc: 95.9508, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0486, loss: 0.8938 2023-11-14 05:44:46,157 - mmdet - INFO - Epoch [10][1700/7330] lr: 9.525e-07, eta: 3:44:49, time: 0.657, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.0974, s0.acc: 96.1958, s0.loss_bbox: 0.1912, s0.loss_mask: 0.1871, s1.loss_cls: 0.0457, s1.acc: 96.4011, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0988, s2.loss_cls: 0.0244, s2.acc: 96.0984, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0477, loss: 0.8574 2023-11-14 05:45:19,482 - mmdet - INFO - Epoch [10][1750/7330] lr: 9.525e-07, eta: 3:44:16, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1047, s0.acc: 95.9287, s0.loss_bbox: 0.1975, s0.loss_mask: 0.1906, s1.loss_cls: 0.0489, s1.acc: 96.1265, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0990, s2.loss_cls: 0.0258, s2.acc: 95.8647, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0478, loss: 0.8842 2023-11-14 05:45:52,833 - mmdet - INFO - Epoch [10][1800/7330] lr: 9.525e-07, eta: 3:43:43, time: 0.667, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0171, s0.loss_cls: 0.1000, s0.acc: 96.1724, s0.loss_bbox: 0.1903, s0.loss_mask: 0.1891, s1.loss_cls: 0.0478, s1.acc: 96.2874, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0990, s2.loss_cls: 0.0250, s2.acc: 96.0622, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0481, loss: 0.8636 2023-11-14 05:46:26,217 - mmdet - INFO - Epoch [10][1850/7330] lr: 9.525e-07, eta: 3:43:10, time: 0.668, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1058, s0.acc: 95.8989, s0.loss_bbox: 0.1969, s0.loss_mask: 0.1942, s1.loss_cls: 0.0501, s1.acc: 96.0803, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1019, s2.loss_cls: 0.0262, s2.acc: 95.8556, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0492, loss: 0.8955 2023-11-14 05:46:59,770 - mmdet - INFO - Epoch [10][1900/7330] lr: 9.525e-07, eta: 3:42:37, time: 0.671, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1047, s0.acc: 95.9404, s0.loss_bbox: 0.1997, s0.loss_mask: 0.1958, s1.loss_cls: 0.0498, s1.acc: 96.0830, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1020, s2.loss_cls: 0.0262, s2.acc: 95.8725, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0491, loss: 0.9027 2023-11-14 05:47:33,024 - mmdet - INFO - Epoch [10][1950/7330] lr: 9.525e-07, eta: 3:42:03, time: 0.665, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1041, s0.acc: 95.9683, s0.loss_bbox: 0.1977, s0.loss_mask: 0.1908, s1.loss_cls: 0.0493, s1.acc: 96.1290, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1003, s2.loss_cls: 0.0259, s2.acc: 95.8618, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0484, loss: 0.8885 2023-11-14 05:48:06,768 - mmdet - INFO - Epoch [10][2000/7330] lr: 9.525e-07, eta: 3:41:30, time: 0.675, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1084, s0.acc: 95.7415, s0.loss_bbox: 0.2054, s0.loss_mask: 0.1961, s1.loss_cls: 0.0515, s1.acc: 95.9237, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1028, s2.loss_cls: 0.0273, s2.acc: 95.6478, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0495, loss: 0.9185 2023-11-14 05:48:40,381 - mmdet - INFO - Epoch [10][2050/7330] lr: 9.525e-07, eta: 3:40:57, time: 0.672, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1026, s0.acc: 96.0176, s0.loss_bbox: 0.1950, s0.loss_mask: 0.1918, s1.loss_cls: 0.0492, s1.acc: 96.1244, s1.loss_bbox: 0.0952, s1.loss_mask: 0.1003, s2.loss_cls: 0.0257, s2.acc: 95.8828, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0479, loss: 0.8812 2023-11-14 05:49:13,541 - mmdet - INFO - Epoch [10][2100/7330] lr: 9.525e-07, eta: 3:40:24, time: 0.663, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1060, s0.acc: 95.8623, s0.loss_bbox: 0.1948, s0.loss_mask: 0.1919, s1.loss_cls: 0.0505, s1.acc: 96.0143, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0998, s2.loss_cls: 0.0261, s2.acc: 95.8860, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0480, loss: 0.8875 2023-11-14 05:49:46,745 - mmdet - INFO - Epoch [10][2150/7330] lr: 9.525e-07, eta: 3:39:51, time: 0.664, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1082, s0.acc: 95.7786, s0.loss_bbox: 0.2066, s0.loss_mask: 0.1970, s1.loss_cls: 0.0519, s1.acc: 95.8923, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1024, s2.loss_cls: 0.0271, s2.acc: 95.6043, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0492, loss: 0.9218 2023-11-14 05:50:19,803 - mmdet - INFO - Epoch [10][2200/7330] lr: 9.525e-07, eta: 3:39:17, time: 0.661, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1028, s0.acc: 95.9805, s0.loss_bbox: 0.1972, s0.loss_mask: 0.1961, s1.loss_cls: 0.0488, s1.acc: 96.1310, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1025, s2.loss_cls: 0.0252, s2.acc: 95.9800, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0492, loss: 0.8924 2023-11-14 05:50:52,823 - mmdet - INFO - Epoch [10][2250/7330] lr: 9.525e-07, eta: 3:38:44, time: 0.660, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1071, s0.acc: 95.8823, s0.loss_bbox: 0.2025, s0.loss_mask: 0.1945, s1.loss_cls: 0.0502, s1.acc: 96.0737, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1009, s2.loss_cls: 0.0264, s2.acc: 95.8421, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0486, loss: 0.9073 2023-11-14 05:51:26,056 - mmdet - INFO - Epoch [10][2300/7330] lr: 9.525e-07, eta: 3:38:11, time: 0.665, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1087, s0.acc: 95.7659, s0.loss_bbox: 0.2033, s0.loss_mask: 0.1939, s1.loss_cls: 0.0521, s1.acc: 95.9215, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1009, s2.loss_cls: 0.0276, s2.acc: 95.6355, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0485, loss: 0.9117 2023-11-14 05:51:59,206 - mmdet - INFO - Epoch [10][2350/7330] lr: 9.525e-07, eta: 3:37:38, time: 0.663, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.0978, s0.acc: 96.1848, s0.loss_bbox: 0.1919, s0.loss_mask: 0.1897, s1.loss_cls: 0.0464, s1.acc: 96.3144, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0988, s2.loss_cls: 0.0247, s2.acc: 96.0145, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0475, loss: 0.8628 2023-11-14 05:52:32,111 - mmdet - INFO - Epoch [10][2400/7330] lr: 9.525e-07, eta: 3:37:04, time: 0.658, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1050, s0.acc: 95.9729, s0.loss_bbox: 0.1994, s0.loss_mask: 0.1916, s1.loss_cls: 0.0495, s1.acc: 96.1645, s1.loss_bbox: 0.0981, s1.loss_mask: 0.1003, s2.loss_cls: 0.0259, s2.acc: 95.8056, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0482, loss: 0.8920 2023-11-14 05:53:05,472 - mmdet - INFO - Epoch [10][2450/7330] lr: 9.525e-07, eta: 3:36:31, time: 0.667, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1083, s0.acc: 95.8694, s0.loss_bbox: 0.1996, s0.loss_mask: 0.1938, s1.loss_cls: 0.0517, s1.acc: 96.0788, s1.loss_bbox: 0.0972, s1.loss_mask: 0.1007, s2.loss_cls: 0.0271, s2.acc: 95.7820, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0487, loss: 0.9022 2023-11-14 05:53:38,432 - mmdet - INFO - Epoch [10][2500/7330] lr: 9.525e-07, eta: 3:35:58, time: 0.659, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1033, s0.acc: 96.0916, s0.loss_bbox: 0.1960, s0.loss_mask: 0.1930, s1.loss_cls: 0.0493, s1.acc: 96.2158, s1.loss_bbox: 0.0961, s1.loss_mask: 0.1008, s2.loss_cls: 0.0256, s2.acc: 95.9914, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0486, loss: 0.8858 2023-11-14 05:54:11,811 - mmdet - INFO - Epoch [10][2550/7330] lr: 9.525e-07, eta: 3:35:25, time: 0.668, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1065, s0.acc: 95.8696, s0.loss_bbox: 0.2004, s0.loss_mask: 0.1925, s1.loss_cls: 0.0497, s1.acc: 96.1450, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1010, s2.loss_cls: 0.0260, s2.acc: 95.8824, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0486, loss: 0.9012 2023-11-14 05:54:44,718 - mmdet - INFO - Epoch [10][2600/7330] lr: 9.525e-07, eta: 3:34:51, time: 0.658, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1076, s0.acc: 95.8784, s0.loss_bbox: 0.2005, s0.loss_mask: 0.1961, s1.loss_cls: 0.0514, s1.acc: 95.9847, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1020, s2.loss_cls: 0.0265, s2.acc: 95.7714, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0488, loss: 0.9070 2023-11-14 05:55:17,888 - mmdet - INFO - Epoch [10][2650/7330] lr: 9.525e-07, eta: 3:34:18, time: 0.663, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1032, s0.acc: 95.9697, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1915, s1.loss_cls: 0.0489, s1.acc: 96.1303, s1.loss_bbox: 0.0973, s1.loss_mask: 0.1010, s2.loss_cls: 0.0254, s2.acc: 95.9367, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0487, loss: 0.8873 2023-11-14 05:55:51,170 - mmdet - INFO - Epoch [10][2700/7330] lr: 9.525e-07, eta: 3:33:45, time: 0.666, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1040, s0.acc: 96.0435, s0.loss_bbox: 0.1978, s0.loss_mask: 0.1926, s1.loss_cls: 0.0486, s1.acc: 96.2299, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0998, s2.loss_cls: 0.0257, s2.acc: 95.8923, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0480, loss: 0.8872 2023-11-14 05:56:23,944 - mmdet - INFO - Epoch [10][2750/7330] lr: 9.525e-07, eta: 3:33:11, time: 0.656, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0169, s0.loss_cls: 0.1013, s0.acc: 96.1196, s0.loss_bbox: 0.1914, s0.loss_mask: 0.1876, s1.loss_cls: 0.0482, s1.acc: 96.2349, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0983, s2.loss_cls: 0.0254, s2.acc: 95.9327, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0477, loss: 0.8647 2023-11-14 05:56:57,104 - mmdet - INFO - Epoch [10][2800/7330] lr: 9.525e-07, eta: 3:32:38, time: 0.663, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1103, s0.acc: 95.7253, s0.loss_bbox: 0.2044, s0.loss_mask: 0.1930, s1.loss_cls: 0.0513, s1.acc: 96.0101, s1.loss_bbox: 0.0997, s1.loss_mask: 0.1005, s2.loss_cls: 0.0269, s2.acc: 95.7422, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0484, loss: 0.9124 2023-11-14 05:57:29,884 - mmdet - INFO - Epoch [10][2850/7330] lr: 9.525e-07, eta: 3:32:05, time: 0.656, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.0980, s0.acc: 96.1790, s0.loss_bbox: 0.1932, s0.loss_mask: 0.1915, s1.loss_cls: 0.0463, s1.acc: 96.3506, s1.loss_bbox: 0.0959, s1.loss_mask: 0.1000, s2.loss_cls: 0.0246, s2.acc: 96.1139, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0479, loss: 0.8703 2023-11-14 05:58:02,844 - mmdet - INFO - Epoch [10][2900/7330] lr: 9.525e-07, eta: 3:31:31, time: 0.659, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1027, s0.acc: 96.0762, s0.loss_bbox: 0.1957, s0.loss_mask: 0.1878, s1.loss_cls: 0.0492, s1.acc: 96.1658, s1.loss_bbox: 0.0961, s1.loss_mask: 0.0987, s2.loss_cls: 0.0257, s2.acc: 95.9187, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0476, loss: 0.8776 2023-11-14 05:58:35,799 - mmdet - INFO - Epoch [10][2950/7330] lr: 9.525e-07, eta: 3:30:58, time: 0.659, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1066, s0.acc: 95.8872, s0.loss_bbox: 0.1984, s0.loss_mask: 0.1932, s1.loss_cls: 0.0510, s1.acc: 96.1062, s1.loss_bbox: 0.0969, s1.loss_mask: 0.1007, s2.loss_cls: 0.0266, s2.acc: 95.8468, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0485, loss: 0.8972 2023-11-14 05:59:08,479 - mmdet - INFO - Epoch [10][3000/7330] lr: 9.525e-07, eta: 3:30:25, time: 0.653, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1029, s0.acc: 96.0332, s0.loss_bbox: 0.2004, s0.loss_mask: 0.1959, s1.loss_cls: 0.0479, s1.acc: 96.2434, s1.loss_bbox: 0.0986, s1.loss_mask: 0.1030, s2.loss_cls: 0.0253, s2.acc: 96.0122, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0498, loss: 0.8973 2023-11-14 05:59:41,488 - mmdet - INFO - Epoch [10][3050/7330] lr: 9.525e-07, eta: 3:29:51, time: 0.660, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0981, s0.acc: 96.1814, s0.loss_bbox: 0.1887, s0.loss_mask: 0.1911, s1.loss_cls: 0.0460, s1.acc: 96.4350, s1.loss_bbox: 0.0935, s1.loss_mask: 0.1002, s2.loss_cls: 0.0242, s2.acc: 96.1730, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0484, loss: 0.8613 2023-11-14 06:00:14,414 - mmdet - INFO - Epoch [10][3100/7330] lr: 9.525e-07, eta: 3:29:18, time: 0.658, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1008, s0.acc: 96.0732, s0.loss_bbox: 0.1939, s0.loss_mask: 0.1912, s1.loss_cls: 0.0480, s1.acc: 96.2237, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0997, s2.loss_cls: 0.0247, s2.acc: 95.9748, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0480, loss: 0.8747 2023-11-14 06:00:47,276 - mmdet - INFO - Epoch [10][3150/7330] lr: 9.525e-07, eta: 3:28:45, time: 0.657, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1023, s0.acc: 96.1118, s0.loss_bbox: 0.1932, s0.loss_mask: 0.1901, s1.loss_cls: 0.0478, s1.acc: 96.3001, s1.loss_bbox: 0.0956, s1.loss_mask: 0.0995, s2.loss_cls: 0.0254, s2.acc: 96.0262, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0477, loss: 0.8745 2023-11-14 06:01:20,250 - mmdet - INFO - Epoch [10][3200/7330] lr: 9.525e-07, eta: 3:28:11, time: 0.659, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1031, s0.acc: 96.0027, s0.loss_bbox: 0.1927, s0.loss_mask: 0.1906, s1.loss_cls: 0.0490, s1.acc: 96.1748, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0989, s2.loss_cls: 0.0255, s2.acc: 96.0196, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0474, loss: 0.8774 2023-11-14 06:01:53,452 - mmdet - INFO - Epoch [10][3250/7330] lr: 9.525e-07, eta: 3:27:38, time: 0.664, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0166, s0.loss_cls: 0.0991, s0.acc: 96.1909, s0.loss_bbox: 0.1931, s0.loss_mask: 0.1893, s1.loss_cls: 0.0476, s1.acc: 96.3111, s1.loss_bbox: 0.0956, s1.loss_mask: 0.0990, s2.loss_cls: 0.0253, s2.acc: 96.0927, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0478, loss: 0.8680 2023-11-14 06:02:26,455 - mmdet - INFO - Epoch [10][3300/7330] lr: 9.525e-07, eta: 3:27:05, time: 0.660, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1057, s0.acc: 95.9124, s0.loss_bbox: 0.1988, s0.loss_mask: 0.1933, s1.loss_cls: 0.0506, s1.acc: 96.0266, s1.loss_bbox: 0.0972, s1.loss_mask: 0.1000, s2.loss_cls: 0.0268, s2.acc: 95.7254, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0478, loss: 0.8954 2023-11-14 06:02:59,157 - mmdet - INFO - Epoch [10][3350/7330] lr: 9.525e-07, eta: 3:26:31, time: 0.654, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.1000, s0.acc: 96.1616, s0.loss_bbox: 0.1893, s0.loss_mask: 0.1905, s1.loss_cls: 0.0467, s1.acc: 96.3708, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0988, s2.loss_cls: 0.0240, s2.acc: 96.2010, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0474, loss: 0.8621 2023-11-14 06:03:32,248 - mmdet - INFO - Epoch [10][3400/7330] lr: 9.525e-07, eta: 3:25:58, time: 0.662, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1034, s0.acc: 96.0486, s0.loss_bbox: 0.1954, s0.loss_mask: 0.1952, s1.loss_cls: 0.0489, s1.acc: 96.2482, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1016, s2.loss_cls: 0.0258, s2.acc: 95.9606, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0489, loss: 0.8889 2023-11-14 06:04:05,326 - mmdet - INFO - Epoch [10][3450/7330] lr: 9.525e-07, eta: 3:25:25, time: 0.662, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1075, s0.acc: 95.8696, s0.loss_bbox: 0.2006, s0.loss_mask: 0.1929, s1.loss_cls: 0.0509, s1.acc: 95.9991, s1.loss_bbox: 0.0977, s1.loss_mask: 0.1004, s2.loss_cls: 0.0266, s2.acc: 95.7648, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0482, loss: 0.9005 2023-11-14 06:04:38,476 - mmdet - INFO - Epoch [10][3500/7330] lr: 9.525e-07, eta: 3:24:52, time: 0.663, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1032, s0.acc: 95.9956, s0.loss_bbox: 0.1935, s0.loss_mask: 0.1953, s1.loss_cls: 0.0491, s1.acc: 96.1566, s1.loss_bbox: 0.0939, s1.loss_mask: 0.1016, s2.loss_cls: 0.0257, s2.acc: 95.9282, s2.loss_bbox: 0.0405, s2.loss_mask: 0.0484, loss: 0.8817 2023-11-14 06:05:11,593 - mmdet - INFO - Epoch [10][3550/7330] lr: 9.525e-07, eta: 3:24:18, time: 0.662, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1063, s0.acc: 95.9368, s0.loss_bbox: 0.2006, s0.loss_mask: 0.1919, s1.loss_cls: 0.0504, s1.acc: 96.1059, s1.loss_bbox: 0.0984, s1.loss_mask: 0.1009, s2.loss_cls: 0.0264, s2.acc: 95.8842, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0487, loss: 0.8985 2023-11-14 06:05:44,969 - mmdet - INFO - Epoch [10][3600/7330] lr: 9.525e-07, eta: 3:23:45, time: 0.667, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1036, s0.acc: 95.9849, s0.loss_bbox: 0.1978, s0.loss_mask: 0.1910, s1.loss_cls: 0.0492, s1.acc: 96.1613, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0989, s2.loss_cls: 0.0259, s2.acc: 95.9893, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0474, loss: 0.8880 2023-11-14 06:06:17,529 - mmdet - INFO - Epoch [10][3650/7330] lr: 9.525e-07, eta: 3:23:12, time: 0.651, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0163, s0.loss_cls: 0.0919, s0.acc: 96.4275, s0.loss_bbox: 0.1826, s0.loss_mask: 0.1836, s1.loss_cls: 0.0440, s1.acc: 96.5811, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0964, s2.loss_cls: 0.0234, s2.acc: 96.2454, s2.loss_bbox: 0.0397, s2.loss_mask: 0.0464, loss: 0.8267 2023-11-14 06:06:50,570 - mmdet - INFO - Epoch [10][3700/7330] lr: 9.525e-07, eta: 3:22:38, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1017, s0.acc: 96.0896, s0.loss_bbox: 0.1919, s0.loss_mask: 0.1941, s1.loss_cls: 0.0479, s1.acc: 96.2527, s1.loss_bbox: 0.0948, s1.loss_mask: 0.1016, s2.loss_cls: 0.0251, s2.acc: 96.0300, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0490, loss: 0.8785 2023-11-14 06:07:23,963 - mmdet - INFO - Epoch [10][3750/7330] lr: 9.525e-07, eta: 3:22:05, time: 0.668, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1086, s0.acc: 95.8774, s0.loss_bbox: 0.2002, s0.loss_mask: 0.1954, s1.loss_cls: 0.0514, s1.acc: 96.0782, s1.loss_bbox: 0.0970, s1.loss_mask: 0.1014, s2.loss_cls: 0.0269, s2.acc: 95.7698, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0485, loss: 0.9055 2023-11-14 06:07:56,961 - mmdet - INFO - Epoch [10][3800/7330] lr: 9.525e-07, eta: 3:21:32, time: 0.660, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.0990, s0.acc: 96.1567, s0.loss_bbox: 0.1914, s0.loss_mask: 0.1893, s1.loss_cls: 0.0477, s1.acc: 96.2793, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0991, s2.loss_cls: 0.0252, s2.acc: 96.0397, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0474, loss: 0.8670 2023-11-14 06:08:30,358 - mmdet - INFO - Epoch [10][3850/7330] lr: 9.525e-07, eta: 3:20:59, time: 0.668, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1046, s0.acc: 95.9558, s0.loss_bbox: 0.1963, s0.loss_mask: 0.1919, s1.loss_cls: 0.0491, s1.acc: 96.1542, s1.loss_bbox: 0.0955, s1.loss_mask: 0.1008, s2.loss_cls: 0.0255, s2.acc: 96.0161, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0483, loss: 0.8871 2023-11-14 06:09:03,163 - mmdet - INFO - Epoch [10][3900/7330] lr: 9.525e-07, eta: 3:20:25, time: 0.656, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.0996, s0.acc: 96.1829, s0.loss_bbox: 0.1896, s0.loss_mask: 0.1862, s1.loss_cls: 0.0472, s1.acc: 96.3583, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0981, s2.loss_cls: 0.0250, s2.acc: 96.0443, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0474, loss: 0.8583 2023-11-14 06:09:36,449 - mmdet - INFO - Epoch [10][3950/7330] lr: 9.525e-07, eta: 3:19:52, time: 0.666, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1013, s0.acc: 96.1196, s0.loss_bbox: 0.1949, s0.loss_mask: 0.1916, s1.loss_cls: 0.0477, s1.acc: 96.1975, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1001, s2.loss_cls: 0.0252, s2.acc: 95.9739, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0480, loss: 0.8776 2023-11-14 06:10:09,964 - mmdet - INFO - Epoch [10][4000/7330] lr: 9.525e-07, eta: 3:19:19, time: 0.670, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1081, s0.acc: 95.8335, s0.loss_bbox: 0.2030, s0.loss_mask: 0.1935, s1.loss_cls: 0.0511, s1.acc: 95.9970, s1.loss_bbox: 0.0983, s1.loss_mask: 0.1003, s2.loss_cls: 0.0266, s2.acc: 95.7691, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0482, loss: 0.9059 2023-11-14 06:10:42,788 - mmdet - INFO - Epoch [10][4050/7330] lr: 9.525e-07, eta: 3:18:46, time: 0.657, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0171, s0.loss_cls: 0.1038, s0.acc: 96.0171, s0.loss_bbox: 0.1966, s0.loss_mask: 0.1918, s1.loss_cls: 0.0493, s1.acc: 96.1865, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0994, s2.loss_cls: 0.0259, s2.acc: 95.9578, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0476, loss: 0.8830 2023-11-14 06:11:16,156 - mmdet - INFO - Epoch [10][4100/7330] lr: 9.525e-07, eta: 3:18:12, time: 0.667, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1115, s0.acc: 95.6909, s0.loss_bbox: 0.2032, s0.loss_mask: 0.1990, s1.loss_cls: 0.0529, s1.acc: 95.7896, s1.loss_bbox: 0.0995, s1.loss_mask: 0.1035, s2.loss_cls: 0.0275, s2.acc: 95.5630, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0496, loss: 0.9218 2023-11-14 06:11:49,383 - mmdet - INFO - Epoch [10][4150/7330] lr: 9.525e-07, eta: 3:17:39, time: 0.665, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1069, s0.acc: 95.8428, s0.loss_bbox: 0.1985, s0.loss_mask: 0.1936, s1.loss_cls: 0.0506, s1.acc: 96.0082, s1.loss_bbox: 0.0968, s1.loss_mask: 0.1009, s2.loss_cls: 0.0264, s2.acc: 95.7272, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0484, loss: 0.8982 2023-11-14 06:12:22,045 - mmdet - INFO - Epoch [10][4200/7330] lr: 9.525e-07, eta: 3:17:06, time: 0.653, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1045, s0.acc: 96.0110, s0.loss_bbox: 0.1982, s0.loss_mask: 0.1923, s1.loss_cls: 0.0500, s1.acc: 96.1187, s1.loss_bbox: 0.0972, s1.loss_mask: 0.0998, s2.loss_cls: 0.0263, s2.acc: 95.8637, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0480, loss: 0.8890 2023-11-14 06:12:55,251 - mmdet - INFO - Epoch [10][4250/7330] lr: 9.525e-07, eta: 3:16:32, time: 0.664, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1061, s0.acc: 95.9041, s0.loss_bbox: 0.1949, s0.loss_mask: 0.1916, s1.loss_cls: 0.0498, s1.acc: 96.0971, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0998, s2.loss_cls: 0.0260, s2.acc: 95.8482, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0482, loss: 0.8847 2023-11-14 06:13:28,424 - mmdet - INFO - Epoch [10][4300/7330] lr: 9.525e-07, eta: 3:15:59, time: 0.664, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1054, s0.acc: 95.9119, s0.loss_bbox: 0.1964, s0.loss_mask: 0.1938, s1.loss_cls: 0.0503, s1.acc: 96.0004, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1011, s2.loss_cls: 0.0262, s2.acc: 95.7247, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0486, loss: 0.8920 2023-11-14 06:14:01,475 - mmdet - INFO - Epoch [10][4350/7330] lr: 9.525e-07, eta: 3:15:26, time: 0.661, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1041, s0.acc: 95.9622, s0.loss_bbox: 0.1935, s0.loss_mask: 0.1939, s1.loss_cls: 0.0495, s1.acc: 96.0497, s1.loss_bbox: 0.0956, s1.loss_mask: 0.1014, s2.loss_cls: 0.0260, s2.acc: 95.8052, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0488, loss: 0.8863 2023-11-14 06:14:34,432 - mmdet - INFO - Epoch [10][4400/7330] lr: 9.525e-07, eta: 3:14:53, time: 0.659, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0993, s0.acc: 96.1584, s0.loss_bbox: 0.1919, s0.loss_mask: 0.1902, s1.loss_cls: 0.0465, s1.acc: 96.3774, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0998, s2.loss_cls: 0.0243, s2.acc: 96.1589, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0481, loss: 0.8667 2023-11-14 06:15:06,999 - mmdet - INFO - Epoch [10][4450/7330] lr: 9.525e-07, eta: 3:14:19, time: 0.651, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1003, s0.acc: 96.1816, s0.loss_bbox: 0.1964, s0.loss_mask: 0.1934, s1.loss_cls: 0.0469, s1.acc: 96.3894, s1.loss_bbox: 0.0974, s1.loss_mask: 0.1003, s2.loss_cls: 0.0247, s2.acc: 96.0533, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0485, loss: 0.8811 2023-11-14 06:15:40,662 - mmdet - INFO - Epoch [10][4500/7330] lr: 9.525e-07, eta: 3:13:46, time: 0.673, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1038, s0.acc: 95.9912, s0.loss_bbox: 0.1890, s0.loss_mask: 0.1886, s1.loss_cls: 0.0487, s1.acc: 96.1746, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0987, s2.loss_cls: 0.0252, s2.acc: 95.9702, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0478, loss: 0.8689 2023-11-14 06:16:14,150 - mmdet - INFO - Epoch [10][4550/7330] lr: 9.525e-07, eta: 3:13:13, time: 0.670, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1033, s0.acc: 95.9575, s0.loss_bbox: 0.1948, s0.loss_mask: 0.1925, s1.loss_cls: 0.0495, s1.acc: 96.0752, s1.loss_bbox: 0.0970, s1.loss_mask: 0.1009, s2.loss_cls: 0.0262, s2.acc: 95.7280, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0485, loss: 0.8881 2023-11-14 06:16:47,219 - mmdet - INFO - Epoch [10][4600/7330] lr: 9.525e-07, eta: 3:12:40, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1058, s0.acc: 95.8992, s0.loss_bbox: 0.2051, s0.loss_mask: 0.1962, s1.loss_cls: 0.0500, s1.acc: 96.1552, s1.loss_bbox: 0.1016, s1.loss_mask: 0.1020, s2.loss_cls: 0.0265, s2.acc: 95.8315, s2.loss_bbox: 0.0446, s2.loss_mask: 0.0492, loss: 0.9123 2023-11-14 06:17:20,115 - mmdet - INFO - Epoch [10][4650/7330] lr: 9.525e-07, eta: 3:12:06, time: 0.658, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1032, s0.acc: 96.0422, s0.loss_bbox: 0.1913, s0.loss_mask: 0.1850, s1.loss_cls: 0.0484, s1.acc: 96.2406, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0970, s2.loss_cls: 0.0254, s2.acc: 96.0096, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0469, loss: 0.8628 2023-11-14 06:17:53,049 - mmdet - INFO - Epoch [10][4700/7330] lr: 9.525e-07, eta: 3:11:33, time: 0.659, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1101, s0.acc: 95.7529, s0.loss_bbox: 0.2037, s0.loss_mask: 0.1945, s1.loss_cls: 0.0522, s1.acc: 95.9537, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1003, s2.loss_cls: 0.0271, s2.acc: 95.7187, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0483, loss: 0.9124 2023-11-14 06:18:25,764 - mmdet - INFO - Epoch [10][4750/7330] lr: 9.525e-07, eta: 3:11:00, time: 0.654, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1032, s0.acc: 95.9998, s0.loss_bbox: 0.1933, s0.loss_mask: 0.1929, s1.loss_cls: 0.0492, s1.acc: 96.0874, s1.loss_bbox: 0.0958, s1.loss_mask: 0.1001, s2.loss_cls: 0.0263, s2.acc: 95.8282, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0480, loss: 0.8830 2023-11-14 06:18:58,966 - mmdet - INFO - Epoch [10][4800/7330] lr: 9.525e-07, eta: 3:10:26, time: 0.664, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1080, s0.acc: 95.8481, s0.loss_bbox: 0.2026, s0.loss_mask: 0.1937, s1.loss_cls: 0.0519, s1.acc: 95.9338, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1008, s2.loss_cls: 0.0270, s2.acc: 95.6687, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0482, loss: 0.9071 2023-11-14 06:19:32,071 - mmdet - INFO - Epoch [10][4850/7330] lr: 9.525e-07, eta: 3:09:53, time: 0.662, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1046, s0.acc: 95.9365, s0.loss_bbox: 0.1978, s0.loss_mask: 0.1876, s1.loss_cls: 0.0498, s1.acc: 96.0852, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0979, s2.loss_cls: 0.0265, s2.acc: 95.7515, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0473, loss: 0.8852 2023-11-14 06:20:05,245 - mmdet - INFO - Epoch [10][4900/7330] lr: 9.525e-07, eta: 3:09:20, time: 0.664, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1054, s0.acc: 95.9319, s0.loss_bbox: 0.1959, s0.loss_mask: 0.1945, s1.loss_cls: 0.0502, s1.acc: 96.0943, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1009, s2.loss_cls: 0.0261, s2.acc: 95.8288, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0485, loss: 0.8901 2023-11-14 06:20:38,320 - mmdet - INFO - Epoch [10][4950/7330] lr: 9.525e-07, eta: 3:08:47, time: 0.662, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1034, s0.acc: 96.0020, s0.loss_bbox: 0.1951, s0.loss_mask: 0.1931, s1.loss_cls: 0.0486, s1.acc: 96.2013, s1.loss_bbox: 0.0966, s1.loss_mask: 0.1002, s2.loss_cls: 0.0255, s2.acc: 95.9308, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0482, loss: 0.8844 2023-11-14 06:21:11,623 - mmdet - INFO - Epoch [10][5000/7330] lr: 9.525e-07, eta: 3:08:13, time: 0.666, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1163, s0.acc: 95.5181, s0.loss_bbox: 0.2147, s0.loss_mask: 0.1984, s1.loss_cls: 0.0551, s1.acc: 95.6709, s1.loss_bbox: 0.1051, s1.loss_mask: 0.1023, s2.loss_cls: 0.0291, s2.acc: 95.3578, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0488, loss: 0.9499 2023-11-14 06:21:44,846 - mmdet - INFO - Epoch [10][5050/7330] lr: 9.525e-07, eta: 3:07:40, time: 0.664, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1121, s0.acc: 95.6370, s0.loss_bbox: 0.2131, s0.loss_mask: 0.1997, s1.loss_cls: 0.0534, s1.acc: 95.7520, s1.loss_bbox: 0.1044, s1.loss_mask: 0.1039, s2.loss_cls: 0.0279, s2.acc: 95.5081, s2.loss_bbox: 0.0447, s2.loss_mask: 0.0497, loss: 0.9435 2023-11-14 06:22:17,899 - mmdet - INFO - Epoch [10][5100/7330] lr: 9.525e-07, eta: 3:07:07, time: 0.661, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1018, s0.acc: 96.0522, s0.loss_bbox: 0.1910, s0.loss_mask: 0.1848, s1.loss_cls: 0.0493, s1.acc: 96.1346, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0972, s2.loss_cls: 0.0260, s2.acc: 95.7847, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0468, loss: 0.8629 2023-11-14 06:22:50,951 - mmdet - INFO - Epoch [10][5150/7330] lr: 9.525e-07, eta: 3:06:34, time: 0.661, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1029, s0.acc: 95.9595, s0.loss_bbox: 0.1993, s0.loss_mask: 0.1910, s1.loss_cls: 0.0491, s1.acc: 96.1352, s1.loss_bbox: 0.0991, s1.loss_mask: 0.1004, s2.loss_cls: 0.0257, s2.acc: 95.9349, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0486, loss: 0.8902 2023-11-14 06:23:24,214 - mmdet - INFO - Epoch [10][5200/7330] lr: 9.525e-07, eta: 3:06:00, time: 0.665, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0200, s0.loss_cls: 0.1124, s0.acc: 95.6282, s0.loss_bbox: 0.2050, s0.loss_mask: 0.1960, s1.loss_cls: 0.0543, s1.acc: 95.6900, s1.loss_bbox: 0.1013, s1.loss_mask: 0.1027, s2.loss_cls: 0.0288, s2.acc: 95.2844, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0495, loss: 0.9282 2023-11-14 06:23:57,356 - mmdet - INFO - Epoch [10][5250/7330] lr: 9.525e-07, eta: 3:05:27, time: 0.663, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.1033, s0.acc: 96.0679, s0.loss_bbox: 0.1946, s0.loss_mask: 0.1915, s1.loss_cls: 0.0484, s1.acc: 96.2591, s1.loss_bbox: 0.0957, s1.loss_mask: 0.1002, s2.loss_cls: 0.0252, s2.acc: 96.0628, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0485, loss: 0.8802 2023-11-14 06:24:30,598 - mmdet - INFO - Epoch [10][5300/7330] lr: 9.525e-07, eta: 3:04:54, time: 0.665, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1017, s0.acc: 96.1096, s0.loss_bbox: 0.1882, s0.loss_mask: 0.1898, s1.loss_cls: 0.0481, s1.acc: 96.2856, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0996, s2.loss_cls: 0.0256, s2.acc: 96.0034, s2.loss_bbox: 0.0408, s2.loss_mask: 0.0480, loss: 0.8686 2023-11-14 06:25:03,823 - mmdet - INFO - Epoch [10][5350/7330] lr: 9.525e-07, eta: 3:04:21, time: 0.664, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1045, s0.acc: 95.9724, s0.loss_bbox: 0.1995, s0.loss_mask: 0.1895, s1.loss_cls: 0.0503, s1.acc: 96.0548, s1.loss_bbox: 0.0978, s1.loss_mask: 0.0994, s2.loss_cls: 0.0264, s2.acc: 95.7951, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0479, loss: 0.8902 2023-11-14 06:25:36,838 - mmdet - INFO - Epoch [10][5400/7330] lr: 9.525e-07, eta: 3:03:47, time: 0.660, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1034, s0.acc: 96.0034, s0.loss_bbox: 0.1996, s0.loss_mask: 0.1927, s1.loss_cls: 0.0490, s1.acc: 96.1465, s1.loss_bbox: 0.0988, s1.loss_mask: 0.1006, s2.loss_cls: 0.0257, s2.acc: 95.8442, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0486, loss: 0.8935 2023-11-14 06:26:09,828 - mmdet - INFO - Epoch [10][5450/7330] lr: 9.525e-07, eta: 3:03:14, time: 0.660, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1069, s0.acc: 95.8933, s0.loss_bbox: 0.2020, s0.loss_mask: 0.1959, s1.loss_cls: 0.0510, s1.acc: 96.0351, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1014, s2.loss_cls: 0.0271, s2.acc: 95.8020, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0486, loss: 0.9099 2023-11-14 06:26:42,717 - mmdet - INFO - Epoch [10][5500/7330] lr: 9.525e-07, eta: 3:02:41, time: 0.658, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1027, s0.acc: 96.0684, s0.loss_bbox: 0.1947, s0.loss_mask: 0.1888, s1.loss_cls: 0.0484, s1.acc: 96.3022, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0988, s2.loss_cls: 0.0253, s2.acc: 95.9967, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0473, loss: 0.8784 2023-11-14 06:27:15,987 - mmdet - INFO - Epoch [10][5550/7330] lr: 9.525e-07, eta: 3:02:07, time: 0.665, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1062, s0.acc: 95.8901, s0.loss_bbox: 0.2016, s0.loss_mask: 0.1920, s1.loss_cls: 0.0505, s1.acc: 96.0155, s1.loss_bbox: 0.0987, s1.loss_mask: 0.1003, s2.loss_cls: 0.0264, s2.acc: 95.7550, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0484, loss: 0.9013 2023-11-14 06:27:48,902 - mmdet - INFO - Epoch [10][5600/7330] lr: 9.525e-07, eta: 3:01:34, time: 0.658, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1070, s0.acc: 95.8987, s0.loss_bbox: 0.1977, s0.loss_mask: 0.1900, s1.loss_cls: 0.0507, s1.acc: 96.0437, s1.loss_bbox: 0.0971, s1.loss_mask: 0.0993, s2.loss_cls: 0.0269, s2.acc: 95.6948, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0476, loss: 0.8905 2023-11-14 06:28:21,559 - mmdet - INFO - Epoch [10][5650/7330] lr: 9.525e-07, eta: 3:01:01, time: 0.653, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1001, s0.acc: 96.1040, s0.loss_bbox: 0.1954, s0.loss_mask: 0.1870, s1.loss_cls: 0.0475, s1.acc: 96.2586, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0982, s2.loss_cls: 0.0250, s2.acc: 95.9849, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0474, loss: 0.8692 2023-11-14 06:28:54,408 - mmdet - INFO - Epoch [10][5700/7330] lr: 9.525e-07, eta: 3:00:27, time: 0.656, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0168, s0.loss_cls: 0.1010, s0.acc: 96.1099, s0.loss_bbox: 0.1947, s0.loss_mask: 0.1894, s1.loss_cls: 0.0485, s1.acc: 96.1984, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0989, s2.loss_cls: 0.0252, s2.acc: 96.0292, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0477, loss: 0.8743 2023-11-14 06:29:27,377 - mmdet - INFO - Epoch [10][5750/7330] lr: 9.525e-07, eta: 2:59:54, time: 0.660, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.1050, s0.acc: 96.0071, s0.loss_bbox: 0.1970, s0.loss_mask: 0.1904, s1.loss_cls: 0.0507, s1.acc: 96.0372, s1.loss_bbox: 0.0977, s1.loss_mask: 0.0993, s2.loss_cls: 0.0264, s2.acc: 95.8009, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0476, loss: 0.8865 2023-11-14 06:30:00,381 - mmdet - INFO - Epoch [10][5800/7330] lr: 9.525e-07, eta: 2:59:21, time: 0.660, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1047, s0.acc: 95.9260, s0.loss_bbox: 0.2003, s0.loss_mask: 0.1924, s1.loss_cls: 0.0503, s1.acc: 96.0068, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1002, s2.loss_cls: 0.0259, s2.acc: 95.8746, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0482, loss: 0.8957 2023-11-14 06:30:33,558 - mmdet - INFO - Epoch [10][5850/7330] lr: 9.525e-07, eta: 2:58:48, time: 0.663, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.1032, s0.acc: 96.0752, s0.loss_bbox: 0.1955, s0.loss_mask: 0.1878, s1.loss_cls: 0.0484, s1.acc: 96.2969, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0986, s2.loss_cls: 0.0255, s2.acc: 95.9693, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0474, loss: 0.8753 2023-11-14 06:31:06,735 - mmdet - INFO - Epoch [10][5900/7330] lr: 9.525e-07, eta: 2:58:14, time: 0.664, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1009, s0.acc: 96.1062, s0.loss_bbox: 0.1984, s0.loss_mask: 0.1928, s1.loss_cls: 0.0480, s1.acc: 96.2781, s1.loss_bbox: 0.0997, s1.loss_mask: 0.1007, s2.loss_cls: 0.0255, s2.acc: 95.9320, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0483, loss: 0.8889 2023-11-14 06:31:39,853 - mmdet - INFO - Epoch [10][5950/7330] lr: 9.525e-07, eta: 2:57:41, time: 0.662, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1071, s0.acc: 95.8569, s0.loss_bbox: 0.2019, s0.loss_mask: 0.1959, s1.loss_cls: 0.0508, s1.acc: 96.0468, s1.loss_bbox: 0.0999, s1.loss_mask: 0.1017, s2.loss_cls: 0.0266, s2.acc: 95.8335, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0488, loss: 0.9108 2023-11-14 06:32:13,465 - mmdet - INFO - Epoch [10][6000/7330] lr: 9.525e-07, eta: 2:57:08, time: 0.672, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1072, s0.acc: 95.8589, s0.loss_bbox: 0.2005, s0.loss_mask: 0.1945, s1.loss_cls: 0.0513, s1.acc: 95.9688, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1008, s2.loss_cls: 0.0262, s2.acc: 95.8733, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0487, loss: 0.9041 2023-11-14 06:32:46,326 - mmdet - INFO - Epoch [10][6050/7330] lr: 9.525e-07, eta: 2:56:35, time: 0.657, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1024, s0.acc: 95.9958, s0.loss_bbox: 0.1930, s0.loss_mask: 0.1856, s1.loss_cls: 0.0491, s1.acc: 96.1062, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0970, s2.loss_cls: 0.0258, s2.acc: 95.8744, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0470, loss: 0.8667 2023-11-14 06:33:19,970 - mmdet - INFO - Epoch [10][6100/7330] lr: 9.525e-07, eta: 2:56:02, time: 0.673, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1030, s0.acc: 95.9932, s0.loss_bbox: 0.1949, s0.loss_mask: 0.1924, s1.loss_cls: 0.0490, s1.acc: 96.0929, s1.loss_bbox: 0.0963, s1.loss_mask: 0.0995, s2.loss_cls: 0.0260, s2.acc: 95.8071, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0477, loss: 0.8829 2023-11-14 06:33:53,126 - mmdet - INFO - Epoch [10][6150/7330] lr: 9.525e-07, eta: 2:55:28, time: 0.663, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1045, s0.acc: 95.9265, s0.loss_bbox: 0.1945, s0.loss_mask: 0.1901, s1.loss_cls: 0.0500, s1.acc: 96.0381, s1.loss_bbox: 0.0951, s1.loss_mask: 0.1000, s2.loss_cls: 0.0263, s2.acc: 95.7246, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0481, loss: 0.8833 2023-11-14 06:34:26,078 - mmdet - INFO - Epoch [10][6200/7330] lr: 9.525e-07, eta: 2:54:55, time: 0.659, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1007, s0.acc: 96.1172, s0.loss_bbox: 0.1927, s0.loss_mask: 0.1913, s1.loss_cls: 0.0484, s1.acc: 96.1890, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0995, s2.loss_cls: 0.0255, s2.acc: 95.9042, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0481, loss: 0.8735 2023-11-14 06:34:59,150 - mmdet - INFO - Epoch [10][6250/7330] lr: 9.525e-07, eta: 2:54:22, time: 0.661, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1059, s0.acc: 95.8999, s0.loss_bbox: 0.2008, s0.loss_mask: 0.1921, s1.loss_cls: 0.0500, s1.acc: 96.0513, s1.loss_bbox: 0.0987, s1.loss_mask: 0.1004, s2.loss_cls: 0.0263, s2.acc: 95.7975, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0484, loss: 0.8991 2023-11-14 06:35:32,241 - mmdet - INFO - Epoch [10][6300/7330] lr: 9.525e-07, eta: 2:53:48, time: 0.662, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1052, s0.acc: 95.9607, s0.loss_bbox: 0.1965, s0.loss_mask: 0.1922, s1.loss_cls: 0.0505, s1.acc: 96.0365, s1.loss_bbox: 0.0964, s1.loss_mask: 0.1002, s2.loss_cls: 0.0264, s2.acc: 95.8403, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0484, loss: 0.8890 2023-11-14 06:36:04,813 - mmdet - INFO - Epoch [10][6350/7330] lr: 9.525e-07, eta: 2:53:15, time: 0.651, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1031, s0.acc: 95.9856, s0.loss_bbox: 0.1926, s0.loss_mask: 0.1914, s1.loss_cls: 0.0489, s1.acc: 96.2030, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0998, s2.loss_cls: 0.0259, s2.acc: 95.8507, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0480, loss: 0.8771 2023-11-14 06:36:37,496 - mmdet - INFO - Epoch [10][6400/7330] lr: 9.525e-07, eta: 2:52:42, time: 0.654, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1047, s0.acc: 95.9565, s0.loss_bbox: 0.1954, s0.loss_mask: 0.1916, s1.loss_cls: 0.0496, s1.acc: 96.1292, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1003, s2.loss_cls: 0.0258, s2.acc: 95.9667, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0482, loss: 0.8869 2023-11-14 06:37:10,464 - mmdet - INFO - Epoch [10][6450/7330] lr: 9.525e-07, eta: 2:52:08, time: 0.659, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1093, s0.acc: 95.8245, s0.loss_bbox: 0.2044, s0.loss_mask: 0.1972, s1.loss_cls: 0.0525, s1.acc: 95.8798, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1027, s2.loss_cls: 0.0276, s2.acc: 95.5480, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0493, loss: 0.9199 2023-11-14 06:37:43,222 - mmdet - INFO - Epoch [10][6500/7330] lr: 9.525e-07, eta: 2:51:35, time: 0.655, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0201, s0.loss_cls: 0.1053, s0.acc: 95.9377, s0.loss_bbox: 0.1959, s0.loss_mask: 0.1926, s1.loss_cls: 0.0497, s1.acc: 96.1052, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1001, s2.loss_cls: 0.0259, s2.acc: 95.9109, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0485, loss: 0.8905 2023-11-14 06:38:16,190 - mmdet - INFO - Epoch [10][6550/7330] lr: 9.525e-07, eta: 2:51:02, time: 0.659, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.1012, s0.acc: 96.0183, s0.loss_bbox: 0.1939, s0.loss_mask: 0.1932, s1.loss_cls: 0.0484, s1.acc: 96.1862, s1.loss_bbox: 0.0953, s1.loss_mask: 0.1012, s2.loss_cls: 0.0256, s2.acc: 95.8488, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0482, loss: 0.8808 2023-11-14 06:38:49,234 - mmdet - INFO - Epoch [10][6600/7330] lr: 9.525e-07, eta: 2:50:29, time: 0.661, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1059, s0.acc: 95.8479, s0.loss_bbox: 0.1994, s0.loss_mask: 0.1939, s1.loss_cls: 0.0508, s1.acc: 95.9706, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1007, s2.loss_cls: 0.0266, s2.acc: 95.6772, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0483, loss: 0.8994 2023-11-14 06:39:22,688 - mmdet - INFO - Epoch [10][6650/7330] lr: 9.525e-07, eta: 2:49:55, time: 0.669, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0214, s0.loss_cls: 0.1128, s0.acc: 95.6626, s0.loss_bbox: 0.2069, s0.loss_mask: 0.1979, s1.loss_cls: 0.0544, s1.acc: 95.7934, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1021, s2.loss_cls: 0.0287, s2.acc: 95.5038, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0488, loss: 0.9319 2023-11-14 06:39:55,559 - mmdet - INFO - Epoch [10][6700/7330] lr: 9.525e-07, eta: 2:49:22, time: 0.657, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1066, s0.acc: 95.8716, s0.loss_bbox: 0.1998, s0.loss_mask: 0.1945, s1.loss_cls: 0.0511, s1.acc: 95.9849, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1013, s2.loss_cls: 0.0268, s2.acc: 95.7689, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0484, loss: 0.9010 2023-11-14 06:40:28,394 - mmdet - INFO - Epoch [10][6750/7330] lr: 9.525e-07, eta: 2:48:49, time: 0.657, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.0997, s0.acc: 96.0625, s0.loss_bbox: 0.1914, s0.loss_mask: 0.1901, s1.loss_cls: 0.0471, s1.acc: 96.2471, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0990, s2.loss_cls: 0.0246, s2.acc: 96.0217, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0478, loss: 0.8665 2023-11-14 06:41:01,170 - mmdet - INFO - Epoch [10][6800/7330] lr: 9.525e-07, eta: 2:48:15, time: 0.655, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0996, s0.acc: 96.2002, s0.loss_bbox: 0.1877, s0.loss_mask: 0.1865, s1.loss_cls: 0.0472, s1.acc: 96.4041, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0984, s2.loss_cls: 0.0246, s2.acc: 96.1844, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0476, loss: 0.8561 2023-11-14 06:41:33,842 - mmdet - INFO - Epoch [10][6850/7330] lr: 9.525e-07, eta: 2:47:42, time: 0.653, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0156, s0.loss_cls: 0.0971, s0.acc: 96.3035, s0.loss_bbox: 0.1893, s0.loss_mask: 0.1878, s1.loss_cls: 0.0462, s1.acc: 96.4653, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0996, s2.loss_cls: 0.0240, s2.acc: 96.2401, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0482, loss: 0.8562 2023-11-14 06:42:07,017 - mmdet - INFO - Epoch [10][6900/7330] lr: 9.525e-07, eta: 2:47:09, time: 0.663, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0991, s0.acc: 96.1335, s0.loss_bbox: 0.1874, s0.loss_mask: 0.1898, s1.loss_cls: 0.0472, s1.acc: 96.3190, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0989, s2.loss_cls: 0.0247, s2.acc: 96.0628, s2.loss_bbox: 0.0401, s2.loss_mask: 0.0478, loss: 0.8565 2023-11-14 06:42:40,216 - mmdet - INFO - Epoch [10][6950/7330] lr: 9.525e-07, eta: 2:46:36, time: 0.664, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.1044, s0.acc: 96.0078, s0.loss_bbox: 0.1896, s0.loss_mask: 0.1894, s1.loss_cls: 0.0502, s1.acc: 96.1105, s1.loss_bbox: 0.0936, s1.loss_mask: 0.0990, s2.loss_cls: 0.0259, s2.acc: 95.9524, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0480, loss: 0.8729 2023-11-14 06:43:13,145 - mmdet - INFO - Epoch [10][7000/7330] lr: 9.525e-07, eta: 2:46:02, time: 0.659, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1046, s0.acc: 95.9756, s0.loss_bbox: 0.1910, s0.loss_mask: 0.1907, s1.loss_cls: 0.0500, s1.acc: 96.1335, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0995, s2.loss_cls: 0.0263, s2.acc: 95.9345, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0479, loss: 0.8757 2023-11-14 06:43:45,811 - mmdet - INFO - Epoch [10][7050/7330] lr: 9.525e-07, eta: 2:45:29, time: 0.653, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1007, s0.acc: 96.0791, s0.loss_bbox: 0.1948, s0.loss_mask: 0.1943, s1.loss_cls: 0.0480, s1.acc: 96.1990, s1.loss_bbox: 0.0962, s1.loss_mask: 0.1017, s2.loss_cls: 0.0254, s2.acc: 95.8917, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0491, loss: 0.8830 2023-11-14 06:44:18,940 - mmdet - INFO - Epoch [10][7100/7330] lr: 9.525e-07, eta: 2:44:56, time: 0.663, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1070, s0.acc: 95.8254, s0.loss_bbox: 0.2000, s0.loss_mask: 0.1927, s1.loss_cls: 0.0506, s1.acc: 95.9894, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1001, s2.loss_cls: 0.0268, s2.acc: 95.7245, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0483, loss: 0.8993 2023-11-14 06:44:52,087 - mmdet - INFO - Epoch [10][7150/7330] lr: 9.525e-07, eta: 2:44:22, time: 0.663, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1006, s0.acc: 96.0916, s0.loss_bbox: 0.1920, s0.loss_mask: 0.1898, s1.loss_cls: 0.0478, s1.acc: 96.1884, s1.loss_bbox: 0.0955, s1.loss_mask: 0.0993, s2.loss_cls: 0.0253, s2.acc: 95.9656, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0479, loss: 0.8718 2023-11-14 06:45:25,216 - mmdet - INFO - Epoch [10][7200/7330] lr: 9.525e-07, eta: 2:43:49, time: 0.663, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0172, s0.loss_cls: 0.1001, s0.acc: 96.2034, s0.loss_bbox: 0.1925, s0.loss_mask: 0.1868, s1.loss_cls: 0.0476, s1.acc: 96.3363, s1.loss_bbox: 0.0963, s1.loss_mask: 0.0984, s2.loss_cls: 0.0251, s2.acc: 96.0601, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0478, loss: 0.8674 2023-11-14 06:45:58,045 - mmdet - INFO - Epoch [10][7250/7330] lr: 9.525e-07, eta: 2:43:16, time: 0.657, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1027, s0.acc: 96.0374, s0.loss_bbox: 0.1900, s0.loss_mask: 0.1883, s1.loss_cls: 0.0493, s1.acc: 96.1343, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0989, s2.loss_cls: 0.0258, s2.acc: 95.9155, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0474, loss: 0.8691 2023-11-14 06:46:31,439 - mmdet - INFO - Epoch [10][7300/7330] lr: 9.525e-07, eta: 2:42:43, time: 0.668, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0202, s0.loss_cls: 0.1088, s0.acc: 95.7251, s0.loss_bbox: 0.2061, s0.loss_mask: 0.1964, s1.loss_cls: 0.0527, s1.acc: 95.8019, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1023, s2.loss_cls: 0.0272, s2.acc: 95.5946, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0494, loss: 0.9214 2023-11-14 06:46:51,806 - mmdet - INFO - Saving checkpoint at 10 epochs 2023-11-14 06:48:14,893 - mmdet - INFO - Evaluating bbox... 2023-11-14 06:48:42,909 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.556 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.744 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.604 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.388 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.598 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.720 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.670 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.670 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.670 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.505 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.714 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.823 2023-11-14 06:48:42,912 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.640 | bicycle | 0.438 | car | 0.553 | | motorcycle | 0.546 | airplane | 0.766 | bus | 0.763 | | train | 0.768 | truck | 0.503 | boat | 0.396 | | traffic light | 0.339 | fire hydrant | 0.780 | stop sign | 0.748 | | parking meter | 0.539 | bench | 0.383 | bird | 0.473 | | cat | 0.814 | dog | 0.782 | horse | 0.707 | | sheep | 0.648 | cow | 0.696 | elephant | 0.774 | | bear | 0.824 | zebra | 0.759 | giraffe | 0.779 | | backpack | 0.286 | umbrella | 0.527 | handbag | 0.304 | | tie | 0.481 | suitcase | 0.552 | frisbee | 0.754 | | skis | 0.372 | snowboard | 0.531 | sports ball | 0.546 | | kite | 0.525 | baseball bat | 0.542 | baseball glove | 0.510 | | skateboard | 0.650 | surfboard | 0.545 | tennis racket | 0.658 | | bottle | 0.523 | wine glass | 0.494 | cup | 0.578 | | fork | 0.570 | knife | 0.396 | spoon | 0.392 | | bowl | 0.547 | banana | 0.348 | apple | 0.318 | | sandwich | 0.546 | orange | 0.372 | broccoli | 0.301 | | carrot | 0.308 | hot dog | 0.584 | pizza | 0.622 | | donut | 0.646 | cake | 0.543 | chair | 0.428 | | couch | 0.557 | potted plant | 0.408 | bed | 0.549 | | dining table | 0.376 | toilet | 0.724 | tv | 0.689 | | laptop | 0.771 | mouse | 0.685 | remote | 0.545 | | keyboard | 0.624 | cell phone | 0.536 | microwave | 0.702 | | oven | 0.450 | toaster | 0.535 | sink | 0.506 | | refrigerator | 0.749 | book | 0.253 | clock | 0.551 | | vase | 0.479 | scissors | 0.539 | teddy bear | 0.659 | | hair drier | 0.388 | toothbrush | 0.507 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 06:48:42,912 - mmdet - INFO - Evaluating segm... 2023-11-14 06:49:10,677 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.482 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.720 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.526 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.289 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.514 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.676 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.424 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.629 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.749 2023-11-14 06:49:10,680 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.541 | bicycle | 0.264 | car | 0.494 | | motorcycle | 0.436 | airplane | 0.581 | bus | 0.719 | | train | 0.739 | truck | 0.471 | boat | 0.352 | | traffic light | 0.326 | fire hydrant | 0.725 | stop sign | 0.706 | | parking meter | 0.518 | bench | 0.284 | bird | 0.383 | | cat | 0.764 | dog | 0.694 | horse | 0.530 | | sheep | 0.567 | cow | 0.579 | elephant | 0.673 | | bear | 0.794 | zebra | 0.639 | giraffe | 0.605 | | backpack | 0.273 | umbrella | 0.556 | handbag | 0.268 | | tie | 0.429 | suitcase | 0.557 | frisbee | 0.687 | | skis | 0.089 | snowboard | 0.358 | sports ball | 0.524 | | kite | 0.370 | baseball bat | 0.369 | baseball glove | 0.518 | | skateboard | 0.431 | surfboard | 0.447 | tennis racket | 0.648 | | bottle | 0.480 | wine glass | 0.432 | cup | 0.556 | | fork | 0.295 | knife | 0.274 | spoon | 0.257 | | bowl | 0.486 | banana | 0.282 | apple | 0.297 | | sandwich | 0.536 | orange | 0.361 | broccoli | 0.260 | | carrot | 0.266 | hot dog | 0.469 | pizza | 0.579 | | donut | 0.627 | cake | 0.523 | chair | 0.301 | | couch | 0.450 | potted plant | 0.332 | bed | 0.435 | | dining table | 0.212 | toilet | 0.676 | tv | 0.700 | | laptop | 0.729 | mouse | 0.661 | remote | 0.457 | | keyboard | 0.584 | cell phone | 0.489 | microwave | 0.699 | | oven | 0.382 | toaster | 0.550 | sink | 0.445 | | refrigerator | 0.718 | book | 0.191 | clock | 0.536 | | vase | 0.453 | scissors | 0.386 | teddy bear | 0.591 | | hair drier | 0.371 | toothbrush | 0.328 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 06:49:11,264 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/cascade_flash_internimage_l_fpn_1x_coco/best_bbox_mAP_epoch_9.pth was removed 2023-11-14 06:49:19,951 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_10.pth. 2023-11-14 06:49:19,952 - mmdet - INFO - Best bbox_mAP is 0.5562 at 10 epoch. 2023-11-14 06:49:19,952 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 06:49:19,952 - mmdet - INFO - Epoch(val) [10][625] bbox_mAP: 0.5562, bbox_mAP_50: 0.7441, bbox_mAP_75: 0.6037, bbox_mAP_s: 0.3876, bbox_mAP_m: 0.5983, bbox_mAP_l: 0.7198, bbox_mAP_copypaste: 0.5562 0.7441 0.6037 0.3876 0.5983 0.7198, segm_mAP: 0.4821, segm_mAP_50: 0.7204, segm_mAP_75: 0.5259, segm_mAP_s: 0.2885, segm_mAP_m: 0.5135, segm_mAP_l: 0.6760, segm_mAP_copypaste: 0.4821 0.7204 0.5259 0.2885 0.5135 0.6760 2023-11-14 06:49:59,967 - mmdet - INFO - Epoch [11][50/7330] lr: 9.525e-07, eta: 2:41:47, time: 0.800, data_time: 0.085, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1047, s0.acc: 95.9851, s0.loss_bbox: 0.2017, s0.loss_mask: 0.1915, s1.loss_cls: 0.0493, s1.acc: 96.1593, s1.loss_bbox: 0.0993, s1.loss_mask: 0.0998, s2.loss_cls: 0.0257, s2.acc: 95.9468, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0479, loss: 0.8947 2023-11-14 06:50:33,590 - mmdet - INFO - Epoch [11][100/7330] lr: 9.525e-07, eta: 2:41:14, time: 0.673, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.0985, s0.acc: 96.1902, s0.loss_bbox: 0.1912, s0.loss_mask: 0.1868, s1.loss_cls: 0.0463, s1.acc: 96.3818, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0979, s2.loss_cls: 0.0243, s2.acc: 96.1005, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0473, loss: 0.8586 2023-11-14 06:51:09,445 - mmdet - INFO - Epoch [11][150/7330] lr: 9.525e-07, eta: 2:40:41, time: 0.717, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1074, s0.acc: 95.8572, s0.loss_bbox: 0.2043, s0.loss_mask: 0.1908, s1.loss_cls: 0.0503, s1.acc: 96.0807, s1.loss_bbox: 0.0994, s1.loss_mask: 0.1004, s2.loss_cls: 0.0264, s2.acc: 95.8530, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0485, loss: 0.9034 2023-11-14 06:51:42,794 - mmdet - INFO - Epoch [11][200/7330] lr: 9.525e-07, eta: 2:40:08, time: 0.667, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0171, s0.loss_cls: 0.0970, s0.acc: 96.2341, s0.loss_bbox: 0.1834, s0.loss_mask: 0.1881, s1.loss_cls: 0.0456, s1.acc: 96.4169, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0987, s2.loss_cls: 0.0244, s2.acc: 96.1020, s2.loss_bbox: 0.0400, s2.loss_mask: 0.0475, loss: 0.8447 2023-11-14 06:52:16,588 - mmdet - INFO - Epoch [11][250/7330] lr: 9.525e-07, eta: 2:39:35, time: 0.676, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0998, s0.acc: 96.2034, s0.loss_bbox: 0.1917, s0.loss_mask: 0.1914, s1.loss_cls: 0.0470, s1.acc: 96.3944, s1.loss_bbox: 0.0959, s1.loss_mask: 0.1008, s2.loss_cls: 0.0248, s2.acc: 96.0701, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0486, loss: 0.8726 2023-11-14 06:52:50,236 - mmdet - INFO - Epoch [11][300/7330] lr: 9.525e-07, eta: 2:39:02, time: 0.673, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1059, s0.acc: 95.8901, s0.loss_bbox: 0.1979, s0.loss_mask: 0.1901, s1.loss_cls: 0.0499, s1.acc: 96.0954, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0998, s2.loss_cls: 0.0263, s2.acc: 95.8608, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0481, loss: 0.8914 2023-11-14 06:53:23,748 - mmdet - INFO - Epoch [11][350/7330] lr: 9.525e-07, eta: 2:38:28, time: 0.670, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1058, s0.acc: 95.8088, s0.loss_bbox: 0.2001, s0.loss_mask: 0.1954, s1.loss_cls: 0.0505, s1.acc: 95.9189, s1.loss_bbox: 0.0980, s1.loss_mask: 0.1021, s2.loss_cls: 0.0262, s2.acc: 95.7268, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0491, loss: 0.9020 2023-11-14 06:53:56,897 - mmdet - INFO - Epoch [11][400/7330] lr: 9.525e-07, eta: 2:37:55, time: 0.663, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0172, s0.loss_cls: 0.1003, s0.acc: 96.1682, s0.loss_bbox: 0.1906, s0.loss_mask: 0.1896, s1.loss_cls: 0.0472, s1.acc: 96.2897, s1.loss_bbox: 0.0945, s1.loss_mask: 0.1000, s2.loss_cls: 0.0246, s2.acc: 96.1053, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0482, loss: 0.8662 2023-11-14 06:54:30,636 - mmdet - INFO - Epoch [11][450/7330] lr: 9.525e-07, eta: 2:37:22, time: 0.675, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1042, s0.acc: 95.9312, s0.loss_bbox: 0.1962, s0.loss_mask: 0.1925, s1.loss_cls: 0.0502, s1.acc: 95.9748, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1001, s2.loss_cls: 0.0262, s2.acc: 95.8113, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0484, loss: 0.8883 2023-11-14 06:55:03,680 - mmdet - INFO - Epoch [11][500/7330] lr: 9.525e-07, eta: 2:36:49, time: 0.661, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.0967, s0.acc: 96.2773, s0.loss_bbox: 0.1903, s0.loss_mask: 0.1854, s1.loss_cls: 0.0443, s1.acc: 96.5156, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0976, s2.loss_cls: 0.0236, s2.acc: 96.2035, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0473, loss: 0.8502 2023-11-14 06:55:37,098 - mmdet - INFO - Epoch [11][550/7330] lr: 9.525e-07, eta: 2:36:16, time: 0.668, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.1036, s0.acc: 96.0190, s0.loss_bbox: 0.1977, s0.loss_mask: 0.1938, s1.loss_cls: 0.0488, s1.acc: 96.1736, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1020, s2.loss_cls: 0.0254, s2.acc: 95.9385, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0493, loss: 0.8917 2023-11-14 06:56:10,248 - mmdet - INFO - Epoch [11][600/7330] lr: 9.525e-07, eta: 2:35:42, time: 0.663, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.0964, s0.acc: 96.3552, s0.loss_bbox: 0.1874, s0.loss_mask: 0.1870, s1.loss_cls: 0.0455, s1.acc: 96.4702, s1.loss_bbox: 0.0936, s1.loss_mask: 0.0990, s2.loss_cls: 0.0235, s2.acc: 96.2579, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0478, loss: 0.8513 2023-11-14 06:56:44,014 - mmdet - INFO - Epoch [11][650/7330] lr: 9.525e-07, eta: 2:35:09, time: 0.675, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1030, s0.acc: 95.9971, s0.loss_bbox: 0.1966, s0.loss_mask: 0.1902, s1.loss_cls: 0.0493, s1.acc: 96.0821, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0996, s2.loss_cls: 0.0257, s2.acc: 95.8743, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0482, loss: 0.8836 2023-11-14 06:57:18,105 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 06:57:18,105 - mmdet - INFO - Epoch [11][700/7330] lr: 9.525e-07, eta: 2:34:36, time: 0.682, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1051, s0.acc: 95.9429, s0.loss_bbox: 0.1963, s0.loss_mask: 0.1908, s1.loss_cls: 0.0491, s1.acc: 96.1979, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0995, s2.loss_cls: 0.0262, s2.acc: 95.8947, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0480, loss: 0.8877 2023-11-14 06:57:51,662 - mmdet - INFO - Epoch [11][750/7330] lr: 9.525e-07, eta: 2:34:03, time: 0.671, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1022, s0.acc: 95.9807, s0.loss_bbox: 0.1930, s0.loss_mask: 0.1874, s1.loss_cls: 0.0491, s1.acc: 96.1202, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0982, s2.loss_cls: 0.0259, s2.acc: 95.8611, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0473, loss: 0.8718 2023-11-14 06:58:27,668 - mmdet - INFO - Epoch [11][800/7330] lr: 9.525e-07, eta: 2:33:30, time: 0.720, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0207, s0.loss_cls: 0.1076, s0.acc: 95.8735, s0.loss_bbox: 0.2054, s0.loss_mask: 0.1983, s1.loss_cls: 0.0514, s1.acc: 96.0121, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1033, s2.loss_cls: 0.0272, s2.acc: 95.6792, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0496, loss: 0.9206 2023-11-14 06:59:01,031 - mmdet - INFO - Epoch [11][850/7330] lr: 9.525e-07, eta: 2:32:57, time: 0.667, data_time: 0.018, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0992, s0.acc: 96.1731, s0.loss_bbox: 0.1959, s0.loss_mask: 0.1900, s1.loss_cls: 0.0471, s1.acc: 96.2829, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0998, s2.loss_cls: 0.0248, s2.acc: 96.0757, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0478, loss: 0.8738 2023-11-14 06:59:34,643 - mmdet - INFO - Epoch [11][900/7330] lr: 9.525e-07, eta: 2:32:24, time: 0.672, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1008, s0.acc: 96.0698, s0.loss_bbox: 0.1945, s0.loss_mask: 0.1889, s1.loss_cls: 0.0471, s1.acc: 96.3244, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0988, s2.loss_cls: 0.0251, s2.acc: 95.9421, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0476, loss: 0.8721 2023-11-14 07:00:08,662 - mmdet - INFO - Epoch [11][950/7330] lr: 9.525e-07, eta: 2:31:51, time: 0.680, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.0996, s0.acc: 96.1091, s0.loss_bbox: 0.1915, s0.loss_mask: 0.1845, s1.loss_cls: 0.0475, s1.acc: 96.2756, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0967, s2.loss_cls: 0.0249, s2.acc: 96.0008, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0467, loss: 0.8606 2023-11-14 07:00:42,224 - mmdet - INFO - Epoch [11][1000/7330] lr: 9.525e-07, eta: 2:31:18, time: 0.671, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1048, s0.acc: 95.9370, s0.loss_bbox: 0.1996, s0.loss_mask: 0.1943, s1.loss_cls: 0.0492, s1.acc: 96.1475, s1.loss_bbox: 0.0966, s1.loss_mask: 0.1012, s2.loss_cls: 0.0260, s2.acc: 95.8617, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0487, loss: 0.8956 2023-11-14 07:01:15,972 - mmdet - INFO - Epoch [11][1050/7330] lr: 9.525e-07, eta: 2:30:45, time: 0.675, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1020, s0.acc: 96.0225, s0.loss_bbox: 0.1966, s0.loss_mask: 0.1908, s1.loss_cls: 0.0481, s1.acc: 96.1761, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0999, s2.loss_cls: 0.0254, s2.acc: 95.9844, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0480, loss: 0.8838 2023-11-14 07:01:51,462 - mmdet - INFO - Epoch [11][1100/7330] lr: 9.525e-07, eta: 2:30:12, time: 0.710, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0204, s0.loss_cls: 0.1045, s0.acc: 95.9885, s0.loss_bbox: 0.1984, s0.loss_mask: 0.1912, s1.loss_cls: 0.0490, s1.acc: 96.2232, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0998, s2.loss_cls: 0.0256, s2.acc: 95.9828, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0480, loss: 0.8900 2023-11-14 07:02:24,571 - mmdet - INFO - Epoch [11][1150/7330] lr: 9.525e-07, eta: 2:29:38, time: 0.662, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0167, s0.loss_cls: 0.0966, s0.acc: 96.2278, s0.loss_bbox: 0.1902, s0.loss_mask: 0.1896, s1.loss_cls: 0.0457, s1.acc: 96.4078, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0994, s2.loss_cls: 0.0242, s2.acc: 96.1715, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0475, loss: 0.8562 2023-11-14 07:02:57,921 - mmdet - INFO - Epoch [11][1200/7330] lr: 9.525e-07, eta: 2:29:05, time: 0.667, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1015, s0.acc: 96.1121, s0.loss_bbox: 0.1920, s0.loss_mask: 0.1889, s1.loss_cls: 0.0484, s1.acc: 96.3045, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0991, s2.loss_cls: 0.0255, s2.acc: 96.0092, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0479, loss: 0.8720 2023-11-14 07:03:31,336 - mmdet - INFO - Epoch [11][1250/7330] lr: 9.525e-07, eta: 2:28:32, time: 0.668, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1005, s0.acc: 96.1077, s0.loss_bbox: 0.1870, s0.loss_mask: 0.1928, s1.loss_cls: 0.0477, s1.acc: 96.2802, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0999, s2.loss_cls: 0.0247, s2.acc: 96.1003, s2.loss_bbox: 0.0402, s2.loss_mask: 0.0482, loss: 0.8637 2023-11-14 07:04:05,156 - mmdet - INFO - Epoch [11][1300/7330] lr: 9.525e-07, eta: 2:27:59, time: 0.676, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1069, s0.acc: 95.8999, s0.loss_bbox: 0.2010, s0.loss_mask: 0.1908, s1.loss_cls: 0.0504, s1.acc: 96.0675, s1.loss_bbox: 0.0988, s1.loss_mask: 0.0998, s2.loss_cls: 0.0267, s2.acc: 95.7908, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0482, loss: 0.8990 2023-11-14 07:04:38,474 - mmdet - INFO - Epoch [11][1350/7330] lr: 9.525e-07, eta: 2:27:26, time: 0.666, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1018, s0.acc: 96.0776, s0.loss_bbox: 0.1983, s0.loss_mask: 0.1913, s1.loss_cls: 0.0474, s1.acc: 96.3445, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0996, s2.loss_cls: 0.0251, s2.acc: 96.1228, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0482, loss: 0.8825 2023-11-14 07:05:12,229 - mmdet - INFO - Epoch [11][1400/7330] lr: 9.525e-07, eta: 2:26:53, time: 0.675, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.0983, s0.acc: 96.2288, s0.loss_bbox: 0.1927, s0.loss_mask: 0.1903, s1.loss_cls: 0.0468, s1.acc: 96.3427, s1.loss_bbox: 0.0953, s1.loss_mask: 0.1003, s2.loss_cls: 0.0248, s2.acc: 96.1131, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0484, loss: 0.8685 2023-11-14 07:05:45,644 - mmdet - INFO - Epoch [11][1450/7330] lr: 9.525e-07, eta: 2:26:19, time: 0.668, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1058, s0.acc: 95.9114, s0.loss_bbox: 0.1995, s0.loss_mask: 0.1934, s1.loss_cls: 0.0509, s1.acc: 96.0239, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0991, s2.loss_cls: 0.0265, s2.acc: 95.7781, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0477, loss: 0.8942 2023-11-14 07:06:19,358 - mmdet - INFO - Epoch [11][1500/7330] lr: 9.525e-07, eta: 2:25:46, time: 0.674, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1025, s0.acc: 96.0027, s0.loss_bbox: 0.1956, s0.loss_mask: 0.1931, s1.loss_cls: 0.0479, s1.acc: 96.2361, s1.loss_bbox: 0.0961, s1.loss_mask: 0.1007, s2.loss_cls: 0.0257, s2.acc: 95.9342, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0486, loss: 0.8846 2023-11-14 07:06:52,783 - mmdet - INFO - Epoch [11][1550/7330] lr: 9.525e-07, eta: 2:25:13, time: 0.669, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1055, s0.acc: 95.8713, s0.loss_bbox: 0.2007, s0.loss_mask: 0.1961, s1.loss_cls: 0.0507, s1.acc: 95.9816, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1012, s2.loss_cls: 0.0267, s2.acc: 95.7577, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0486, loss: 0.9020 2023-11-14 07:07:26,024 - mmdet - INFO - Epoch [11][1600/7330] lr: 9.525e-07, eta: 2:24:40, time: 0.665, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1020, s0.acc: 96.0029, s0.loss_bbox: 0.1953, s0.loss_mask: 0.1898, s1.loss_cls: 0.0476, s1.acc: 96.2499, s1.loss_bbox: 0.0960, s1.loss_mask: 0.0988, s2.loss_cls: 0.0249, s2.acc: 95.9581, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0476, loss: 0.8764 2023-11-14 07:07:59,706 - mmdet - INFO - Epoch [11][1650/7330] lr: 9.525e-07, eta: 2:24:07, time: 0.674, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1064, s0.acc: 95.8362, s0.loss_bbox: 0.2032, s0.loss_mask: 0.1961, s1.loss_cls: 0.0509, s1.acc: 96.0037, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1022, s2.loss_cls: 0.0269, s2.acc: 95.6934, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0490, loss: 0.9100 2023-11-14 07:08:33,491 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 07:08:33,491 - mmdet - INFO - Epoch [11][1700/7330] lr: 9.525e-07, eta: 2:23:34, time: 0.676, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1036, s0.acc: 95.9990, s0.loss_bbox: 0.1957, s0.loss_mask: 0.1931, s1.loss_cls: 0.0486, s1.acc: 96.2131, s1.loss_bbox: 0.0957, s1.loss_mask: 0.1008, s2.loss_cls: 0.0254, s2.acc: 95.9498, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0486, loss: 0.8850 2023-11-14 07:09:06,981 - mmdet - INFO - Epoch [11][1750/7330] lr: 9.525e-07, eta: 2:23:00, time: 0.670, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1069, s0.acc: 95.8511, s0.loss_bbox: 0.1978, s0.loss_mask: 0.1926, s1.loss_cls: 0.0505, s1.acc: 95.9803, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1000, s2.loss_cls: 0.0270, s2.acc: 95.6692, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0477, loss: 0.8930 2023-11-14 07:09:40,782 - mmdet - INFO - Epoch [11][1800/7330] lr: 9.525e-07, eta: 2:22:27, time: 0.676, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1032, s0.acc: 95.9841, s0.loss_bbox: 0.2020, s0.loss_mask: 0.1932, s1.loss_cls: 0.0491, s1.acc: 96.1915, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1014, s2.loss_cls: 0.0256, s2.acc: 95.9286, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0487, loss: 0.8952 2023-11-14 07:10:14,177 - mmdet - INFO - Epoch [11][1850/7330] lr: 9.525e-07, eta: 2:21:54, time: 0.668, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1041, s0.acc: 95.9426, s0.loss_bbox: 0.2025, s0.loss_mask: 0.1954, s1.loss_cls: 0.0495, s1.acc: 96.1051, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1022, s2.loss_cls: 0.0260, s2.acc: 95.8319, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0492, loss: 0.9032 2023-11-14 07:10:47,632 - mmdet - INFO - Epoch [11][1900/7330] lr: 9.525e-07, eta: 2:21:21, time: 0.669, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1041, s0.acc: 96.0105, s0.loss_bbox: 0.1989, s0.loss_mask: 0.1958, s1.loss_cls: 0.0486, s1.acc: 96.2168, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1023, s2.loss_cls: 0.0256, s2.acc: 95.8969, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0493, loss: 0.8970 2023-11-14 07:11:21,071 - mmdet - INFO - Epoch [11][1950/7330] lr: 9.525e-07, eta: 2:20:48, time: 0.669, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1060, s0.acc: 95.9148, s0.loss_bbox: 0.2015, s0.loss_mask: 0.1912, s1.loss_cls: 0.0501, s1.acc: 96.1153, s1.loss_bbox: 0.0984, s1.loss_mask: 0.0987, s2.loss_cls: 0.0264, s2.acc: 95.8676, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0475, loss: 0.8965 2023-11-14 07:11:54,744 - mmdet - INFO - Epoch [11][2000/7330] lr: 9.525e-07, eta: 2:20:14, time: 0.673, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1014, s0.acc: 96.0198, s0.loss_bbox: 0.1964, s0.loss_mask: 0.1958, s1.loss_cls: 0.0470, s1.acc: 96.2838, s1.loss_bbox: 0.0975, s1.loss_mask: 0.1023, s2.loss_cls: 0.0249, s2.acc: 96.0493, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0493, loss: 0.8890 2023-11-14 07:12:28,459 - mmdet - INFO - Epoch [11][2050/7330] lr: 9.525e-07, eta: 2:19:41, time: 0.674, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1025, s0.acc: 96.0935, s0.loss_bbox: 0.1969, s0.loss_mask: 0.1934, s1.loss_cls: 0.0474, s1.acc: 96.3474, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1011, s2.loss_cls: 0.0250, s2.acc: 96.0909, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0486, loss: 0.8846 2023-11-14 07:13:01,804 - mmdet - INFO - Epoch [11][2100/7330] lr: 9.525e-07, eta: 2:19:08, time: 0.667, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1016, s0.acc: 96.0981, s0.loss_bbox: 0.1947, s0.loss_mask: 0.1927, s1.loss_cls: 0.0487, s1.acc: 96.1814, s1.loss_bbox: 0.0956, s1.loss_mask: 0.1007, s2.loss_cls: 0.0253, s2.acc: 96.0017, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0485, loss: 0.8809 2023-11-14 07:13:35,569 - mmdet - INFO - Epoch [11][2150/7330] lr: 9.525e-07, eta: 2:18:35, time: 0.675, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0195, s0.loss_cls: 0.1046, s0.acc: 95.9385, s0.loss_bbox: 0.2036, s0.loss_mask: 0.1947, s1.loss_cls: 0.0497, s1.acc: 96.0740, s1.loss_bbox: 0.0994, s1.loss_mask: 0.1006, s2.loss_cls: 0.0261, s2.acc: 95.8741, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0484, loss: 0.9039 2023-11-14 07:14:09,530 - mmdet - INFO - Epoch [11][2200/7330] lr: 9.525e-07, eta: 2:18:02, time: 0.679, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.1012, s0.acc: 96.1311, s0.loss_bbox: 0.1905, s0.loss_mask: 0.1892, s1.loss_cls: 0.0475, s1.acc: 96.3752, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0991, s2.loss_cls: 0.0252, s2.acc: 96.0061, s2.loss_bbox: 0.0405, s2.loss_mask: 0.0475, loss: 0.8648 2023-11-14 07:14:43,197 - mmdet - INFO - Epoch [11][2250/7330] lr: 9.525e-07, eta: 2:17:29, time: 0.673, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1044, s0.acc: 95.9417, s0.loss_bbox: 0.1993, s0.loss_mask: 0.1987, s1.loss_cls: 0.0498, s1.acc: 96.0639, s1.loss_bbox: 0.0974, s1.loss_mask: 0.1027, s2.loss_cls: 0.0264, s2.acc: 95.7691, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0494, loss: 0.9022 2023-11-14 07:15:16,746 - mmdet - INFO - Epoch [11][2300/7330] lr: 9.525e-07, eta: 2:16:55, time: 0.671, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0987, s0.acc: 96.1677, s0.loss_bbox: 0.1917, s0.loss_mask: 0.1895, s1.loss_cls: 0.0460, s1.acc: 96.3697, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0985, s2.loss_cls: 0.0242, s2.acc: 96.1379, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0471, loss: 0.8608 2023-11-14 07:15:49,666 - mmdet - INFO - Epoch [11][2350/7330] lr: 9.525e-07, eta: 2:16:22, time: 0.658, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0995, s0.acc: 96.1292, s0.loss_bbox: 0.1905, s0.loss_mask: 0.1832, s1.loss_cls: 0.0467, s1.acc: 96.3488, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0961, s2.loss_cls: 0.0242, s2.acc: 96.1924, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0465, loss: 0.8513 2023-11-14 07:16:23,237 - mmdet - INFO - Epoch [11][2400/7330] lr: 9.525e-07, eta: 2:15:49, time: 0.671, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1014, s0.acc: 96.1074, s0.loss_bbox: 0.1930, s0.loss_mask: 0.1864, s1.loss_cls: 0.0479, s1.acc: 96.2616, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0970, s2.loss_cls: 0.0251, s2.acc: 96.0849, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0467, loss: 0.8633 2023-11-14 07:16:57,152 - mmdet - INFO - Epoch [11][2450/7330] lr: 9.525e-07, eta: 2:15:16, time: 0.678, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1027, s0.acc: 96.0679, s0.loss_bbox: 0.1944, s0.loss_mask: 0.1904, s1.loss_cls: 0.0484, s1.acc: 96.2480, s1.loss_bbox: 0.0971, s1.loss_mask: 0.1003, s2.loss_cls: 0.0255, s2.acc: 95.9345, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0485, loss: 0.8823 2023-11-14 07:17:30,659 - mmdet - INFO - Epoch [11][2500/7330] lr: 9.525e-07, eta: 2:14:43, time: 0.670, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0171, s0.loss_cls: 0.1023, s0.acc: 96.0334, s0.loss_bbox: 0.1964, s0.loss_mask: 0.1905, s1.loss_cls: 0.0491, s1.acc: 96.1657, s1.loss_bbox: 0.0962, s1.loss_mask: 0.0997, s2.loss_cls: 0.0255, s2.acc: 95.9561, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0480, loss: 0.8796 2023-11-14 07:18:04,102 - mmdet - INFO - Epoch [11][2550/7330] lr: 9.525e-07, eta: 2:14:09, time: 0.669, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1041, s0.acc: 95.9382, s0.loss_bbox: 0.2014, s0.loss_mask: 0.1950, s1.loss_cls: 0.0499, s1.acc: 96.1197, s1.loss_bbox: 0.0991, s1.loss_mask: 0.1025, s2.loss_cls: 0.0259, s2.acc: 95.8740, s2.loss_bbox: 0.0436, s2.loss_mask: 0.0495, loss: 0.9032 2023-11-14 07:18:37,870 - mmdet - INFO - Epoch [11][2600/7330] lr: 9.525e-07, eta: 2:13:36, time: 0.675, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1013, s0.acc: 96.0508, s0.loss_bbox: 0.1981, s0.loss_mask: 0.1886, s1.loss_cls: 0.0479, s1.acc: 96.1695, s1.loss_bbox: 0.0971, s1.loss_mask: 0.0983, s2.loss_cls: 0.0250, s2.acc: 95.9532, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0473, loss: 0.8774 2023-11-14 07:19:11,570 - mmdet - INFO - Epoch [11][2650/7330] lr: 9.525e-07, eta: 2:13:03, time: 0.674, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1029, s0.acc: 96.0845, s0.loss_bbox: 0.1908, s0.loss_mask: 0.1917, s1.loss_cls: 0.0486, s1.acc: 96.2956, s1.loss_bbox: 0.0945, s1.loss_mask: 0.1005, s2.loss_cls: 0.0256, s2.acc: 96.0214, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0483, loss: 0.8755 2023-11-14 07:19:45,066 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 07:19:45,067 - mmdet - INFO - Epoch [11][2700/7330] lr: 9.525e-07, eta: 2:12:30, time: 0.670, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.0967, s0.acc: 96.3027, s0.loss_bbox: 0.1855, s0.loss_mask: 0.1881, s1.loss_cls: 0.0457, s1.acc: 96.4568, s1.loss_bbox: 0.0920, s1.loss_mask: 0.0987, s2.loss_cls: 0.0244, s2.acc: 96.2024, s2.loss_bbox: 0.0404, s2.loss_mask: 0.0475, loss: 0.8502 2023-11-14 07:20:18,942 - mmdet - INFO - Epoch [11][2750/7330] lr: 9.525e-07, eta: 2:11:57, time: 0.678, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1110, s0.acc: 95.7068, s0.loss_bbox: 0.2084, s0.loss_mask: 0.1956, s1.loss_cls: 0.0532, s1.acc: 95.8075, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1014, s2.loss_cls: 0.0280, s2.acc: 95.5262, s2.loss_bbox: 0.0445, s2.loss_mask: 0.0486, loss: 0.9264 2023-11-14 07:20:52,605 - mmdet - INFO - Epoch [11][2800/7330] lr: 9.525e-07, eta: 2:11:24, time: 0.673, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.0976, s0.acc: 96.1919, s0.loss_bbox: 0.1905, s0.loss_mask: 0.1890, s1.loss_cls: 0.0460, s1.acc: 96.4259, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0991, s2.loss_cls: 0.0242, s2.acc: 96.2404, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0478, loss: 0.8605 2023-11-14 07:21:26,318 - mmdet - INFO - Epoch [11][2850/7330] lr: 9.525e-07, eta: 2:10:50, time: 0.674, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1061, s0.acc: 95.9331, s0.loss_bbox: 0.1965, s0.loss_mask: 0.1909, s1.loss_cls: 0.0499, s1.acc: 96.1636, s1.loss_bbox: 0.0956, s1.loss_mask: 0.0988, s2.loss_cls: 0.0260, s2.acc: 95.9370, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0478, loss: 0.8873 2023-11-14 07:22:00,230 - mmdet - INFO - Epoch [11][2900/7330] lr: 9.525e-07, eta: 2:10:17, time: 0.678, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1042, s0.acc: 95.9844, s0.loss_bbox: 0.1995, s0.loss_mask: 0.1907, s1.loss_cls: 0.0491, s1.acc: 96.1772, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0996, s2.loss_cls: 0.0255, s2.acc: 95.9416, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0482, loss: 0.8884 2023-11-14 07:22:33,763 - mmdet - INFO - Epoch [11][2950/7330] lr: 9.525e-07, eta: 2:09:44, time: 0.671, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1018, s0.acc: 96.0049, s0.loss_bbox: 0.1922, s0.loss_mask: 0.1929, s1.loss_cls: 0.0492, s1.acc: 96.1003, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0995, s2.loss_cls: 0.0255, s2.acc: 95.8936, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0480, loss: 0.8756 2023-11-14 07:23:07,283 - mmdet - INFO - Epoch [11][3000/7330] lr: 9.525e-07, eta: 2:09:11, time: 0.670, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.0999, s0.acc: 96.1152, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1937, s1.loss_cls: 0.0466, s1.acc: 96.2555, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1015, s2.loss_cls: 0.0246, s2.acc: 95.9900, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0488, loss: 0.8809 2023-11-14 07:23:40,545 - mmdet - INFO - Epoch [11][3050/7330] lr: 9.525e-07, eta: 2:08:38, time: 0.665, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.1012, s0.acc: 96.0991, s0.loss_bbox: 0.1897, s0.loss_mask: 0.1884, s1.loss_cls: 0.0482, s1.acc: 96.2331, s1.loss_bbox: 0.0929, s1.loss_mask: 0.0984, s2.loss_cls: 0.0253, s2.acc: 96.0134, s2.loss_bbox: 0.0408, s2.loss_mask: 0.0474, loss: 0.8625 2023-11-14 07:24:14,011 - mmdet - INFO - Epoch [11][3100/7330] lr: 9.525e-07, eta: 2:08:05, time: 0.669, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1048, s0.acc: 95.9741, s0.loss_bbox: 0.1982, s0.loss_mask: 0.1881, s1.loss_cls: 0.0485, s1.acc: 96.2373, s1.loss_bbox: 0.0968, s1.loss_mask: 0.0981, s2.loss_cls: 0.0254, s2.acc: 95.9746, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0474, loss: 0.8817 2023-11-14 07:24:47,484 - mmdet - INFO - Epoch [11][3150/7330] lr: 9.525e-07, eta: 2:07:31, time: 0.669, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.0972, s0.acc: 96.1592, s0.loss_bbox: 0.1927, s0.loss_mask: 0.1895, s1.loss_cls: 0.0462, s1.acc: 96.3469, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0990, s2.loss_cls: 0.0241, s2.acc: 96.1716, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0477, loss: 0.8643 2023-11-14 07:25:21,054 - mmdet - INFO - Epoch [11][3200/7330] lr: 9.525e-07, eta: 2:06:58, time: 0.671, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1024, s0.acc: 96.0007, s0.loss_bbox: 0.1975, s0.loss_mask: 0.1944, s1.loss_cls: 0.0483, s1.acc: 96.2368, s1.loss_bbox: 0.0981, s1.loss_mask: 0.1014, s2.loss_cls: 0.0255, s2.acc: 95.9884, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0488, loss: 0.8907 2023-11-14 07:25:54,494 - mmdet - INFO - Epoch [11][3250/7330] lr: 9.525e-07, eta: 2:06:25, time: 0.669, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0198, s0.loss_cls: 0.1010, s0.acc: 96.1104, s0.loss_bbox: 0.1944, s0.loss_mask: 0.1938, s1.loss_cls: 0.0473, s1.acc: 96.2752, s1.loss_bbox: 0.0949, s1.loss_mask: 0.1004, s2.loss_cls: 0.0250, s2.acc: 95.9958, s2.loss_bbox: 0.0407, s2.loss_mask: 0.0481, loss: 0.8786 2023-11-14 07:26:27,944 - mmdet - INFO - Epoch [11][3300/7330] lr: 9.525e-07, eta: 2:05:52, time: 0.669, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.0987, s0.acc: 96.2119, s0.loss_bbox: 0.1894, s0.loss_mask: 0.1903, s1.loss_cls: 0.0465, s1.acc: 96.3633, s1.loss_bbox: 0.0948, s1.loss_mask: 0.1004, s2.loss_cls: 0.0243, s2.acc: 96.1641, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0483, loss: 0.8662 2023-11-14 07:27:01,508 - mmdet - INFO - Epoch [11][3350/7330] lr: 9.525e-07, eta: 2:05:19, time: 0.671, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1012, s0.acc: 96.0781, s0.loss_bbox: 0.1944, s0.loss_mask: 0.1904, s1.loss_cls: 0.0473, s1.acc: 96.2644, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0994, s2.loss_cls: 0.0247, s2.acc: 96.0161, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0479, loss: 0.8741 2023-11-14 07:27:34,442 - mmdet - INFO - Epoch [11][3400/7330] lr: 9.525e-07, eta: 2:04:45, time: 0.659, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0171, s0.loss_cls: 0.0955, s0.acc: 96.2551, s0.loss_bbox: 0.1847, s0.loss_mask: 0.1901, s1.loss_cls: 0.0446, s1.acc: 96.4490, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0996, s2.loss_cls: 0.0234, s2.acc: 96.2223, s2.loss_bbox: 0.0404, s2.loss_mask: 0.0479, loss: 0.8471 2023-11-14 07:28:08,014 - mmdet - INFO - Epoch [11][3450/7330] lr: 9.525e-07, eta: 2:04:12, time: 0.672, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1033, s0.acc: 96.0957, s0.loss_bbox: 0.1943, s0.loss_mask: 0.1849, s1.loss_cls: 0.0479, s1.acc: 96.3304, s1.loss_bbox: 0.0955, s1.loss_mask: 0.0969, s2.loss_cls: 0.0253, s2.acc: 96.0871, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0466, loss: 0.8678 2023-11-14 07:28:41,385 - mmdet - INFO - Epoch [11][3500/7330] lr: 9.525e-07, eta: 2:03:39, time: 0.667, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1052, s0.acc: 95.8162, s0.loss_bbox: 0.1982, s0.loss_mask: 0.1941, s1.loss_cls: 0.0499, s1.acc: 96.0159, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1014, s2.loss_cls: 0.0265, s2.acc: 95.6755, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0488, loss: 0.8947 2023-11-14 07:29:14,227 - mmdet - INFO - Epoch [11][3550/7330] lr: 9.525e-07, eta: 2:03:06, time: 0.657, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.0974, s0.acc: 96.2197, s0.loss_bbox: 0.1899, s0.loss_mask: 0.1872, s1.loss_cls: 0.0452, s1.acc: 96.4679, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0985, s2.loss_cls: 0.0234, s2.acc: 96.3535, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0480, loss: 0.8554 2023-11-14 07:29:47,436 - mmdet - INFO - Epoch [11][3600/7330] lr: 9.525e-07, eta: 2:02:32, time: 0.664, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1016, s0.acc: 96.0723, s0.loss_bbox: 0.1910, s0.loss_mask: 0.1888, s1.loss_cls: 0.0481, s1.acc: 96.2193, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0986, s2.loss_cls: 0.0254, s2.acc: 95.9529, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0476, loss: 0.8688 2023-11-14 07:30:21,027 - mmdet - INFO - Epoch [11][3650/7330] lr: 9.525e-07, eta: 2:01:59, time: 0.672, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1075, s0.acc: 95.7827, s0.loss_bbox: 0.2015, s0.loss_mask: 0.1968, s1.loss_cls: 0.0512, s1.acc: 95.9562, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1025, s2.loss_cls: 0.0270, s2.acc: 95.6646, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0491, loss: 0.9096 2023-11-14 07:30:54,687 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 07:30:54,687 - mmdet - INFO - Epoch [11][3700/7330] lr: 9.525e-07, eta: 2:01:26, time: 0.673, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1065, s0.acc: 95.8823, s0.loss_bbox: 0.2049, s0.loss_mask: 0.1917, s1.loss_cls: 0.0504, s1.acc: 96.0695, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1005, s2.loss_cls: 0.0264, s2.acc: 95.8931, s2.loss_bbox: 0.0440, s2.loss_mask: 0.0487, loss: 0.9056 2023-11-14 07:31:27,967 - mmdet - INFO - Epoch [11][3750/7330] lr: 9.525e-07, eta: 2:00:53, time: 0.666, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.1018, s0.acc: 96.0696, s0.loss_bbox: 0.1898, s0.loss_mask: 0.1900, s1.loss_cls: 0.0479, s1.acc: 96.2594, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0988, s2.loss_cls: 0.0250, s2.acc: 95.9706, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0476, loss: 0.8667 2023-11-14 07:32:01,257 - mmdet - INFO - Epoch [11][3800/7330] lr: 9.525e-07, eta: 2:00:19, time: 0.666, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.0950, s0.acc: 96.3220, s0.loss_bbox: 0.1817, s0.loss_mask: 0.1858, s1.loss_cls: 0.0443, s1.acc: 96.5324, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0964, s2.loss_cls: 0.0234, s2.acc: 96.3337, s2.loss_bbox: 0.0403, s2.loss_mask: 0.0466, loss: 0.8338 2023-11-14 07:32:34,824 - mmdet - INFO - Epoch [11][3850/7330] lr: 9.525e-07, eta: 1:59:46, time: 0.671, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1034, s0.acc: 95.9814, s0.loss_bbox: 0.2015, s0.loss_mask: 0.1927, s1.loss_cls: 0.0487, s1.acc: 96.1383, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1006, s2.loss_cls: 0.0256, s2.acc: 95.9865, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0482, loss: 0.8948 2023-11-14 07:33:08,318 - mmdet - INFO - Epoch [11][3900/7330] lr: 9.525e-07, eta: 1:59:13, time: 0.670, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1023, s0.acc: 96.0688, s0.loss_bbox: 0.1980, s0.loss_mask: 0.1952, s1.loss_cls: 0.0483, s1.acc: 96.2572, s1.loss_bbox: 0.0970, s1.loss_mask: 0.1021, s2.loss_cls: 0.0256, s2.acc: 95.9505, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0490, loss: 0.8895 2023-11-14 07:33:41,175 - mmdet - INFO - Epoch [11][3950/7330] lr: 9.525e-07, eta: 1:58:40, time: 0.657, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.1029, s0.acc: 95.9844, s0.loss_bbox: 0.1900, s0.loss_mask: 0.1890, s1.loss_cls: 0.0492, s1.acc: 96.1660, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0986, s2.loss_cls: 0.0258, s2.acc: 95.9450, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0474, loss: 0.8677 2023-11-14 07:34:14,311 - mmdet - INFO - Epoch [11][4000/7330] lr: 9.525e-07, eta: 1:58:06, time: 0.663, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0982, s0.acc: 96.1589, s0.loss_bbox: 0.1913, s0.loss_mask: 0.1881, s1.loss_cls: 0.0460, s1.acc: 96.3586, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0985, s2.loss_cls: 0.0239, s2.acc: 96.1396, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0476, loss: 0.8614 2023-11-14 07:34:47,967 - mmdet - INFO - Epoch [11][4050/7330] lr: 9.525e-07, eta: 1:57:33, time: 0.673, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0988, s0.acc: 96.1375, s0.loss_bbox: 0.1874, s0.loss_mask: 0.1895, s1.loss_cls: 0.0473, s1.acc: 96.2304, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0993, s2.loss_cls: 0.0248, s2.acc: 96.0483, s2.loss_bbox: 0.0405, s2.loss_mask: 0.0477, loss: 0.8585 2023-11-14 07:35:21,061 - mmdet - INFO - Epoch [11][4100/7330] lr: 9.525e-07, eta: 1:57:00, time: 0.662, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1031, s0.acc: 96.0476, s0.loss_bbox: 0.1954, s0.loss_mask: 0.1895, s1.loss_cls: 0.0483, s1.acc: 96.2620, s1.loss_bbox: 0.0963, s1.loss_mask: 0.0992, s2.loss_cls: 0.0258, s2.acc: 95.8821, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0478, loss: 0.8760 2023-11-14 07:35:54,498 - mmdet - INFO - Epoch [11][4150/7330] lr: 9.525e-07, eta: 1:56:27, time: 0.669, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1061, s0.acc: 95.8594, s0.loss_bbox: 0.2015, s0.loss_mask: 0.1944, s1.loss_cls: 0.0501, s1.acc: 96.0943, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1018, s2.loss_cls: 0.0262, s2.acc: 95.8969, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0490, loss: 0.9046 2023-11-14 07:36:27,836 - mmdet - INFO - Epoch [11][4200/7330] lr: 9.525e-07, eta: 1:55:54, time: 0.667, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1021, s0.acc: 96.1589, s0.loss_bbox: 0.1938, s0.loss_mask: 0.1920, s1.loss_cls: 0.0473, s1.acc: 96.4017, s1.loss_bbox: 0.0953, s1.loss_mask: 0.1000, s2.loss_cls: 0.0251, s2.acc: 96.1661, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0482, loss: 0.8756 2023-11-14 07:37:01,774 - mmdet - INFO - Epoch [11][4250/7330] lr: 9.525e-07, eta: 1:55:20, time: 0.679, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1008, s0.acc: 96.0769, s0.loss_bbox: 0.1900, s0.loss_mask: 0.1822, s1.loss_cls: 0.0485, s1.acc: 96.2143, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0962, s2.loss_cls: 0.0253, s2.acc: 95.9490, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0467, loss: 0.8583 2023-11-14 07:37:35,598 - mmdet - INFO - Epoch [11][4300/7330] lr: 9.525e-07, eta: 1:54:47, time: 0.677, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1053, s0.acc: 95.9424, s0.loss_bbox: 0.1975, s0.loss_mask: 0.1903, s1.loss_cls: 0.0497, s1.acc: 96.0826, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1004, s2.loss_cls: 0.0263, s2.acc: 95.8022, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0485, loss: 0.8900 2023-11-14 07:38:08,653 - mmdet - INFO - Epoch [11][4350/7330] lr: 9.525e-07, eta: 1:54:14, time: 0.661, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0999, s0.acc: 96.1208, s0.loss_bbox: 0.1939, s0.loss_mask: 0.1893, s1.loss_cls: 0.0466, s1.acc: 96.3733, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0991, s2.loss_cls: 0.0245, s2.acc: 96.1613, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0478, loss: 0.8671 2023-11-14 07:38:42,045 - mmdet - INFO - Epoch [11][4400/7330] lr: 9.525e-07, eta: 1:53:41, time: 0.668, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1000, s0.acc: 96.1116, s0.loss_bbox: 0.1923, s0.loss_mask: 0.1933, s1.loss_cls: 0.0472, s1.acc: 96.2875, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0997, s2.loss_cls: 0.0246, s2.acc: 96.1176, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0482, loss: 0.8736 2023-11-14 07:39:16,034 - mmdet - INFO - Epoch [11][4450/7330] lr: 9.525e-07, eta: 1:53:08, time: 0.680, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1092, s0.acc: 95.7673, s0.loss_bbox: 0.2057, s0.loss_mask: 0.1951, s1.loss_cls: 0.0510, s1.acc: 96.0156, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1011, s2.loss_cls: 0.0271, s2.acc: 95.6659, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0487, loss: 0.9153 2023-11-14 07:39:49,263 - mmdet - INFO - Epoch [11][4500/7330] lr: 9.525e-07, eta: 1:52:34, time: 0.665, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0169, s0.loss_cls: 0.0986, s0.acc: 96.1953, s0.loss_bbox: 0.1884, s0.loss_mask: 0.1899, s1.loss_cls: 0.0467, s1.acc: 96.4645, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0998, s2.loss_cls: 0.0250, s2.acc: 96.1406, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0480, loss: 0.8608 2023-11-14 07:40:22,875 - mmdet - INFO - Epoch [11][4550/7330] lr: 9.525e-07, eta: 1:52:01, time: 0.672, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1043, s0.acc: 95.9199, s0.loss_bbox: 0.1972, s0.loss_mask: 0.1913, s1.loss_cls: 0.0494, s1.acc: 96.0932, s1.loss_bbox: 0.0962, s1.loss_mask: 0.0996, s2.loss_cls: 0.0259, s2.acc: 95.8170, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0483, loss: 0.8872 2023-11-14 07:40:56,357 - mmdet - INFO - Epoch [11][4600/7330] lr: 9.525e-07, eta: 1:51:28, time: 0.670, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.1002, s0.acc: 96.1389, s0.loss_bbox: 0.1942, s0.loss_mask: 0.1916, s1.loss_cls: 0.0472, s1.acc: 96.3094, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1016, s2.loss_cls: 0.0243, s2.acc: 96.0943, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0490, loss: 0.8769 2023-11-14 07:41:30,079 - mmdet - INFO - Epoch [11][4650/7330] lr: 9.525e-07, eta: 1:50:55, time: 0.674, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1051, s0.acc: 95.8713, s0.loss_bbox: 0.1969, s0.loss_mask: 0.1948, s1.loss_cls: 0.0504, s1.acc: 96.0240, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1013, s2.loss_cls: 0.0264, s2.acc: 95.7409, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0488, loss: 0.8937 2023-11-14 07:42:03,552 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 07:42:03,552 - mmdet - INFO - Epoch [11][4700/7330] lr: 9.525e-07, eta: 1:50:22, time: 0.669, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1012, s0.acc: 96.0522, s0.loss_bbox: 0.2009, s0.loss_mask: 0.1915, s1.loss_cls: 0.0482, s1.acc: 96.2205, s1.loss_bbox: 0.0985, s1.loss_mask: 0.0993, s2.loss_cls: 0.0253, s2.acc: 95.9170, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0477, loss: 0.8860 2023-11-14 07:42:36,743 - mmdet - INFO - Epoch [11][4750/7330] lr: 9.525e-07, eta: 1:49:48, time: 0.664, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1040, s0.acc: 95.9421, s0.loss_bbox: 0.1927, s0.loss_mask: 0.1915, s1.loss_cls: 0.0495, s1.acc: 96.1157, s1.loss_bbox: 0.0945, s1.loss_mask: 0.1009, s2.loss_cls: 0.0258, s2.acc: 95.9337, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0488, loss: 0.8803 2023-11-14 07:43:10,084 - mmdet - INFO - Epoch [11][4800/7330] lr: 9.525e-07, eta: 1:49:15, time: 0.667, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1045, s0.acc: 95.9749, s0.loss_bbox: 0.2009, s0.loss_mask: 0.1894, s1.loss_cls: 0.0490, s1.acc: 96.1683, s1.loss_bbox: 0.0978, s1.loss_mask: 0.0999, s2.loss_cls: 0.0260, s2.acc: 95.8476, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0481, loss: 0.8912 2023-11-14 07:43:43,463 - mmdet - INFO - Epoch [11][4850/7330] lr: 9.525e-07, eta: 1:48:42, time: 0.668, data_time: 0.018, memory: 30155, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0161, s0.loss_cls: 0.0954, s0.acc: 96.3086, s0.loss_bbox: 0.1889, s0.loss_mask: 0.1842, s1.loss_cls: 0.0447, s1.acc: 96.5069, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0973, s2.loss_cls: 0.0235, s2.acc: 96.2391, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0473, loss: 0.8444 2023-11-14 07:44:16,751 - mmdet - INFO - Epoch [11][4900/7330] lr: 9.525e-07, eta: 1:48:09, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1029, s0.acc: 96.0544, s0.loss_bbox: 0.2005, s0.loss_mask: 0.1907, s1.loss_cls: 0.0487, s1.acc: 96.1740, s1.loss_bbox: 0.0986, s1.loss_mask: 0.0998, s2.loss_cls: 0.0257, s2.acc: 95.8483, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0483, loss: 0.8905 2023-11-14 07:44:50,365 - mmdet - INFO - Epoch [11][4950/7330] lr: 9.525e-07, eta: 1:47:35, time: 0.672, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0978, s0.acc: 96.2249, s0.loss_bbox: 0.1921, s0.loss_mask: 0.1890, s1.loss_cls: 0.0456, s1.acc: 96.4804, s1.loss_bbox: 0.0956, s1.loss_mask: 0.0989, s2.loss_cls: 0.0244, s2.acc: 96.1767, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0475, loss: 0.8645 2023-11-14 07:45:23,589 - mmdet - INFO - Epoch [11][5000/7330] lr: 9.525e-07, eta: 1:47:02, time: 0.664, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1044, s0.acc: 96.0076, s0.loss_bbox: 0.1984, s0.loss_mask: 0.1924, s1.loss_cls: 0.0499, s1.acc: 96.1598, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1006, s2.loss_cls: 0.0259, s2.acc: 95.8808, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0484, loss: 0.8911 2023-11-14 07:45:57,056 - mmdet - INFO - Epoch [11][5050/7330] lr: 9.525e-07, eta: 1:46:29, time: 0.669, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1002, s0.acc: 96.1416, s0.loss_bbox: 0.1943, s0.loss_mask: 0.1892, s1.loss_cls: 0.0468, s1.acc: 96.3408, s1.loss_bbox: 0.0955, s1.loss_mask: 0.0991, s2.loss_cls: 0.0247, s2.acc: 96.1089, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0478, loss: 0.8706 2023-11-14 07:46:30,155 - mmdet - INFO - Epoch [11][5100/7330] lr: 9.525e-07, eta: 1:45:56, time: 0.662, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0167, s0.loss_cls: 0.0983, s0.acc: 96.2646, s0.loss_bbox: 0.1884, s0.loss_mask: 0.1909, s1.loss_cls: 0.0467, s1.acc: 96.4758, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0997, s2.loss_cls: 0.0243, s2.acc: 96.1944, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0482, loss: 0.8616 2023-11-14 07:47:03,269 - mmdet - INFO - Epoch [11][5150/7330] lr: 9.525e-07, eta: 1:45:22, time: 0.662, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.0972, s0.acc: 96.2458, s0.loss_bbox: 0.1891, s0.loss_mask: 0.1881, s1.loss_cls: 0.0455, s1.acc: 96.4877, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0986, s2.loss_cls: 0.0244, s2.acc: 96.1817, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0475, loss: 0.8540 2023-11-14 07:47:36,418 - mmdet - INFO - Epoch [11][5200/7330] lr: 9.525e-07, eta: 1:44:49, time: 0.663, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0973, s0.acc: 96.2454, s0.loss_bbox: 0.1912, s0.loss_mask: 0.1900, s1.loss_cls: 0.0449, s1.acc: 96.4577, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0991, s2.loss_cls: 0.0237, s2.acc: 96.1573, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0477, loss: 0.8601 2023-11-14 07:48:09,683 - mmdet - INFO - Epoch [11][5250/7330] lr: 9.525e-07, eta: 1:44:16, time: 0.665, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.1026, s0.acc: 96.0798, s0.loss_bbox: 0.1926, s0.loss_mask: 0.1853, s1.loss_cls: 0.0479, s1.acc: 96.3380, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0969, s2.loss_cls: 0.0253, s2.acc: 96.0614, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0470, loss: 0.8648 2023-11-14 07:48:42,691 - mmdet - INFO - Epoch [11][5300/7330] lr: 9.525e-07, eta: 1:43:43, time: 0.660, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0172, s0.loss_cls: 0.1018, s0.acc: 96.0500, s0.loss_bbox: 0.1939, s0.loss_mask: 0.1945, s1.loss_cls: 0.0483, s1.acc: 96.2293, s1.loss_bbox: 0.0959, s1.loss_mask: 0.1010, s2.loss_cls: 0.0251, s2.acc: 96.0379, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0487, loss: 0.8806 2023-11-14 07:49:16,480 - mmdet - INFO - Epoch [11][5350/7330] lr: 9.525e-07, eta: 1:43:10, time: 0.676, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1022, s0.acc: 96.0085, s0.loss_bbox: 0.1954, s0.loss_mask: 0.1901, s1.loss_cls: 0.0486, s1.acc: 96.1928, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0996, s2.loss_cls: 0.0257, s2.acc: 95.9380, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0480, loss: 0.8798 2023-11-14 07:49:49,435 - mmdet - INFO - Epoch [11][5400/7330] lr: 9.525e-07, eta: 1:42:36, time: 0.659, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1039, s0.acc: 95.9856, s0.loss_bbox: 0.1974, s0.loss_mask: 0.1943, s1.loss_cls: 0.0491, s1.acc: 96.1211, s1.loss_bbox: 0.0969, s1.loss_mask: 0.1013, s2.loss_cls: 0.0256, s2.acc: 95.8970, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0488, loss: 0.8912 2023-11-14 07:50:22,801 - mmdet - INFO - Epoch [11][5450/7330] lr: 9.525e-07, eta: 1:42:03, time: 0.667, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1004, s0.acc: 96.1353, s0.loss_bbox: 0.1931, s0.loss_mask: 0.1899, s1.loss_cls: 0.0473, s1.acc: 96.3028, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0992, s2.loss_cls: 0.0247, s2.acc: 96.1445, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0480, loss: 0.8718 2023-11-14 07:50:56,049 - mmdet - INFO - Epoch [11][5500/7330] lr: 9.525e-07, eta: 1:41:30, time: 0.665, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0996, s0.acc: 96.1653, s0.loss_bbox: 0.1923, s0.loss_mask: 0.1899, s1.loss_cls: 0.0467, s1.acc: 96.4423, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0993, s2.loss_cls: 0.0246, s2.acc: 96.1472, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0481, loss: 0.8675 2023-11-14 07:51:29,270 - mmdet - INFO - Epoch [11][5550/7330] lr: 9.525e-07, eta: 1:40:57, time: 0.664, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.0979, s0.acc: 96.1892, s0.loss_bbox: 0.1873, s0.loss_mask: 0.1863, s1.loss_cls: 0.0464, s1.acc: 96.3825, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0973, s2.loss_cls: 0.0243, s2.acc: 96.0834, s2.loss_bbox: 0.0405, s2.loss_mask: 0.0470, loss: 0.8489 2023-11-14 07:52:02,581 - mmdet - INFO - Epoch [11][5600/7330] lr: 9.525e-07, eta: 1:40:23, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.0980, s0.acc: 96.1931, s0.loss_bbox: 0.1936, s0.loss_mask: 0.1884, s1.loss_cls: 0.0455, s1.acc: 96.4366, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0986, s2.loss_cls: 0.0242, s2.acc: 96.1422, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0478, loss: 0.8649 2023-11-14 07:52:36,065 - mmdet - INFO - Epoch [11][5650/7330] lr: 9.525e-07, eta: 1:39:50, time: 0.670, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1083, s0.acc: 95.7661, s0.loss_bbox: 0.2009, s0.loss_mask: 0.1939, s1.loss_cls: 0.0512, s1.acc: 95.9664, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1008, s2.loss_cls: 0.0267, s2.acc: 95.6551, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0487, loss: 0.9066 2023-11-14 07:53:09,175 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 07:53:09,176 - mmdet - INFO - Epoch [11][5700/7330] lr: 9.525e-07, eta: 1:39:17, time: 0.662, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1026, s0.acc: 96.0120, s0.loss_bbox: 0.1963, s0.loss_mask: 0.1902, s1.loss_cls: 0.0484, s1.acc: 96.1542, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0989, s2.loss_cls: 0.0256, s2.acc: 95.8706, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0478, loss: 0.8791 2023-11-14 07:53:42,789 - mmdet - INFO - Epoch [11][5750/7330] lr: 9.525e-07, eta: 1:38:44, time: 0.672, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1094, s0.acc: 95.7847, s0.loss_bbox: 0.2041, s0.loss_mask: 0.1947, s1.loss_cls: 0.0522, s1.acc: 95.9156, s1.loss_bbox: 0.0999, s1.loss_mask: 0.1014, s2.loss_cls: 0.0271, s2.acc: 95.7354, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0491, loss: 0.9164 2023-11-14 07:54:16,049 - mmdet - INFO - Epoch [11][5800/7330] lr: 9.525e-07, eta: 1:38:10, time: 0.665, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.1046, s0.acc: 95.9712, s0.loss_bbox: 0.1990, s0.loss_mask: 0.1935, s1.loss_cls: 0.0499, s1.acc: 96.1209, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1014, s2.loss_cls: 0.0262, s2.acc: 95.7838, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0489, loss: 0.8962 2023-11-14 07:54:49,320 - mmdet - INFO - Epoch [11][5850/7330] lr: 9.525e-07, eta: 1:37:37, time: 0.666, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1093, s0.acc: 95.7732, s0.loss_bbox: 0.2069, s0.loss_mask: 0.1944, s1.loss_cls: 0.0509, s1.acc: 96.0539, s1.loss_bbox: 0.1013, s1.loss_mask: 0.1007, s2.loss_cls: 0.0268, s2.acc: 95.7754, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0485, loss: 0.9167 2023-11-14 07:55:22,498 - mmdet - INFO - Epoch [11][5900/7330] lr: 9.525e-07, eta: 1:37:04, time: 0.664, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.1010, s0.acc: 96.0437, s0.loss_bbox: 0.1950, s0.loss_mask: 0.1863, s1.loss_cls: 0.0483, s1.acc: 96.1581, s1.loss_bbox: 0.0972, s1.loss_mask: 0.0986, s2.loss_cls: 0.0256, s2.acc: 95.8905, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0479, loss: 0.8725 2023-11-14 07:55:55,749 - mmdet - INFO - Epoch [11][5950/7330] lr: 9.525e-07, eta: 1:36:31, time: 0.665, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0946, s0.acc: 96.3083, s0.loss_bbox: 0.1855, s0.loss_mask: 0.1862, s1.loss_cls: 0.0445, s1.acc: 96.4957, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0981, s2.loss_cls: 0.0236, s2.acc: 96.2509, s2.loss_bbox: 0.0408, s2.loss_mask: 0.0474, loss: 0.8412 2023-11-14 07:56:29,358 - mmdet - INFO - Epoch [11][6000/7330] lr: 9.525e-07, eta: 1:35:57, time: 0.672, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.0999, s0.acc: 96.1350, s0.loss_bbox: 0.1922, s0.loss_mask: 0.1909, s1.loss_cls: 0.0478, s1.acc: 96.3078, s1.loss_bbox: 0.0950, s1.loss_mask: 0.1001, s2.loss_cls: 0.0258, s2.acc: 95.9537, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0482, loss: 0.8722 2023-11-14 07:57:02,809 - mmdet - INFO - Epoch [11][6050/7330] lr: 9.525e-07, eta: 1:35:24, time: 0.669, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1065, s0.acc: 95.8250, s0.loss_bbox: 0.2052, s0.loss_mask: 0.1980, s1.loss_cls: 0.0508, s1.acc: 95.9615, s1.loss_bbox: 0.1002, s1.loss_mask: 0.1029, s2.loss_cls: 0.0263, s2.acc: 95.7563, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0493, loss: 0.9154 2023-11-14 07:57:35,951 - mmdet - INFO - Epoch [11][6100/7330] lr: 9.525e-07, eta: 1:34:51, time: 0.663, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0996, s0.acc: 96.2122, s0.loss_bbox: 0.1944, s0.loss_mask: 0.1910, s1.loss_cls: 0.0465, s1.acc: 96.3965, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1000, s2.loss_cls: 0.0249, s2.acc: 96.0974, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0482, loss: 0.8739 2023-11-14 07:58:09,531 - mmdet - INFO - Epoch [11][6150/7330] lr: 9.525e-07, eta: 1:34:18, time: 0.672, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1051, s0.acc: 95.9075, s0.loss_bbox: 0.1995, s0.loss_mask: 0.1948, s1.loss_cls: 0.0498, s1.acc: 96.0467, s1.loss_bbox: 0.0987, s1.loss_mask: 0.1018, s2.loss_cls: 0.0263, s2.acc: 95.7857, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0493, loss: 0.9001 2023-11-14 07:58:42,879 - mmdet - INFO - Epoch [11][6200/7330] lr: 9.525e-07, eta: 1:33:45, time: 0.667, data_time: 0.018, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0980, s0.acc: 96.2405, s0.loss_bbox: 0.1854, s0.loss_mask: 0.1876, s1.loss_cls: 0.0464, s1.acc: 96.3774, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0990, s2.loss_cls: 0.0244, s2.acc: 96.1526, s2.loss_bbox: 0.0406, s2.loss_mask: 0.0476, loss: 0.8517 2023-11-14 07:59:16,226 - mmdet - INFO - Epoch [11][6250/7330] lr: 9.525e-07, eta: 1:33:11, time: 0.667, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1076, s0.acc: 95.7603, s0.loss_bbox: 0.2052, s0.loss_mask: 0.1960, s1.loss_cls: 0.0515, s1.acc: 95.9046, s1.loss_bbox: 0.0999, s1.loss_mask: 0.1017, s2.loss_cls: 0.0269, s2.acc: 95.6007, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0488, loss: 0.9154 2023-11-14 07:59:49,656 - mmdet - INFO - Epoch [11][6300/7330] lr: 9.525e-07, eta: 1:32:38, time: 0.669, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1035, s0.acc: 95.9868, s0.loss_bbox: 0.1927, s0.loss_mask: 0.1906, s1.loss_cls: 0.0499, s1.acc: 96.1122, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0996, s2.loss_cls: 0.0261, s2.acc: 95.8247, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0480, loss: 0.8790 2023-11-14 08:00:23,116 - mmdet - INFO - Epoch [11][6350/7330] lr: 9.525e-07, eta: 1:32:05, time: 0.669, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1031, s0.acc: 96.0273, s0.loss_bbox: 0.1917, s0.loss_mask: 0.1904, s1.loss_cls: 0.0485, s1.acc: 96.2184, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0993, s2.loss_cls: 0.0254, s2.acc: 95.9278, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0482, loss: 0.8727 2023-11-14 08:00:56,530 - mmdet - INFO - Epoch [11][6400/7330] lr: 9.525e-07, eta: 1:31:32, time: 0.668, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1080, s0.acc: 95.8250, s0.loss_bbox: 0.2008, s0.loss_mask: 0.1921, s1.loss_cls: 0.0517, s1.acc: 95.9738, s1.loss_bbox: 0.0983, s1.loss_mask: 0.1000, s2.loss_cls: 0.0265, s2.acc: 95.7708, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0481, loss: 0.8996 2023-11-14 08:01:30,086 - mmdet - INFO - Epoch [11][6450/7330] lr: 9.525e-07, eta: 1:30:58, time: 0.671, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1014, s0.acc: 96.1013, s0.loss_bbox: 0.1919, s0.loss_mask: 0.1921, s1.loss_cls: 0.0479, s1.acc: 96.3043, s1.loss_bbox: 0.0941, s1.loss_mask: 0.1002, s2.loss_cls: 0.0252, s2.acc: 95.9923, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0484, loss: 0.8740 2023-11-14 08:02:03,617 - mmdet - INFO - Epoch [11][6500/7330] lr: 9.525e-07, eta: 1:30:25, time: 0.671, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.1006, s0.acc: 96.1648, s0.loss_bbox: 0.1888, s0.loss_mask: 0.1862, s1.loss_cls: 0.0476, s1.acc: 96.2955, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0971, s2.loss_cls: 0.0251, s2.acc: 96.0407, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0468, loss: 0.8570 2023-11-14 08:02:37,164 - mmdet - INFO - Epoch [11][6550/7330] lr: 9.525e-07, eta: 1:29:52, time: 0.671, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.0985, s0.acc: 96.1758, s0.loss_bbox: 0.1873, s0.loss_mask: 0.1872, s1.loss_cls: 0.0463, s1.acc: 96.3614, s1.loss_bbox: 0.0920, s1.loss_mask: 0.0980, s2.loss_cls: 0.0241, s2.acc: 96.1032, s2.loss_bbox: 0.0402, s2.loss_mask: 0.0472, loss: 0.8516 2023-11-14 08:03:10,846 - mmdet - INFO - Epoch [11][6600/7330] lr: 9.525e-07, eta: 1:29:19, time: 0.674, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1046, s0.acc: 95.9375, s0.loss_bbox: 0.1947, s0.loss_mask: 0.1908, s1.loss_cls: 0.0500, s1.acc: 96.0225, s1.loss_bbox: 0.0956, s1.loss_mask: 0.1000, s2.loss_cls: 0.0263, s2.acc: 95.7546, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0482, loss: 0.8857 2023-11-14 08:03:44,130 - mmdet - INFO - Epoch [11][6650/7330] lr: 9.525e-07, eta: 1:28:46, time: 0.666, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.0999, s0.acc: 96.1479, s0.loss_bbox: 0.1899, s0.loss_mask: 0.1866, s1.loss_cls: 0.0475, s1.acc: 96.2788, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0979, s2.loss_cls: 0.0248, s2.acc: 96.0210, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0472, loss: 0.8616 2023-11-14 08:04:17,655 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 08:04:17,655 - mmdet - INFO - Epoch [11][6700/7330] lr: 9.525e-07, eta: 1:28:12, time: 0.671, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.1007, s0.acc: 96.0703, s0.loss_bbox: 0.1969, s0.loss_mask: 0.1908, s1.loss_cls: 0.0477, s1.acc: 96.2491, s1.loss_bbox: 0.0969, s1.loss_mask: 0.1003, s2.loss_cls: 0.0251, s2.acc: 96.0383, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0483, loss: 0.8799 2023-11-14 08:04:50,947 - mmdet - INFO - Epoch [11][6750/7330] lr: 9.525e-07, eta: 1:27:39, time: 0.666, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.0986, s0.acc: 96.1072, s0.loss_bbox: 0.1950, s0.loss_mask: 0.1898, s1.loss_cls: 0.0470, s1.acc: 96.2570, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0993, s2.loss_cls: 0.0251, s2.acc: 95.9219, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0480, loss: 0.8723 2023-11-14 08:05:26,750 - mmdet - INFO - Epoch [11][6800/7330] lr: 9.525e-07, eta: 1:27:06, time: 0.716, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.0995, s0.acc: 96.1479, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1899, s1.loss_cls: 0.0475, s1.acc: 96.2797, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0991, s2.loss_cls: 0.0247, s2.acc: 96.1358, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0480, loss: 0.8744 2023-11-14 08:06:00,287 - mmdet - INFO - Epoch [11][6850/7330] lr: 9.525e-07, eta: 1:26:33, time: 0.671, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1112, s0.acc: 95.6897, s0.loss_bbox: 0.2030, s0.loss_mask: 0.1944, s1.loss_cls: 0.0533, s1.acc: 95.9128, s1.loss_bbox: 0.0999, s1.loss_mask: 0.1009, s2.loss_cls: 0.0280, s2.acc: 95.5711, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0482, loss: 0.9153 2023-11-14 08:06:33,480 - mmdet - INFO - Epoch [11][6900/7330] lr: 9.525e-07, eta: 1:26:00, time: 0.664, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1049, s0.acc: 95.9319, s0.loss_bbox: 0.1979, s0.loss_mask: 0.1901, s1.loss_cls: 0.0502, s1.acc: 96.0849, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1000, s2.loss_cls: 0.0263, s2.acc: 95.8198, s2.loss_bbox: 0.0432, s2.loss_mask: 0.0484, loss: 0.8903 2023-11-14 08:07:06,902 - mmdet - INFO - Epoch [11][6950/7330] lr: 9.525e-07, eta: 1:25:26, time: 0.668, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1021, s0.acc: 96.0203, s0.loss_bbox: 0.1908, s0.loss_mask: 0.1880, s1.loss_cls: 0.0489, s1.acc: 96.1057, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0984, s2.loss_cls: 0.0257, s2.acc: 95.7766, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0473, loss: 0.8669 2023-11-14 08:07:40,642 - mmdet - INFO - Epoch [11][7000/7330] lr: 9.525e-07, eta: 1:24:53, time: 0.675, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1032, s0.acc: 96.0266, s0.loss_bbox: 0.1938, s0.loss_mask: 0.1928, s1.loss_cls: 0.0485, s1.acc: 96.2223, s1.loss_bbox: 0.0956, s1.loss_mask: 0.1011, s2.loss_cls: 0.0253, s2.acc: 96.0606, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0488, loss: 0.8814 2023-11-14 08:08:14,352 - mmdet - INFO - Epoch [11][7050/7330] lr: 9.525e-07, eta: 1:24:20, time: 0.674, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1028, s0.acc: 95.9800, s0.loss_bbox: 0.1975, s0.loss_mask: 0.1904, s1.loss_cls: 0.0489, s1.acc: 96.1390, s1.loss_bbox: 0.0975, s1.loss_mask: 0.0999, s2.loss_cls: 0.0256, s2.acc: 95.8810, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0480, loss: 0.8846 2023-11-14 08:08:47,807 - mmdet - INFO - Epoch [11][7100/7330] lr: 9.525e-07, eta: 1:23:47, time: 0.669, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1033, s0.acc: 96.0317, s0.loss_bbox: 0.1960, s0.loss_mask: 0.1938, s1.loss_cls: 0.0485, s1.acc: 96.1773, s1.loss_bbox: 0.0969, s1.loss_mask: 0.1001, s2.loss_cls: 0.0255, s2.acc: 95.8779, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0483, loss: 0.8873 2023-11-14 08:09:21,671 - mmdet - INFO - Epoch [11][7150/7330] lr: 9.525e-07, eta: 1:23:14, time: 0.677, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1010, s0.acc: 96.0190, s0.loss_bbox: 0.1969, s0.loss_mask: 0.1895, s1.loss_cls: 0.0476, s1.acc: 96.2266, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1000, s2.loss_cls: 0.0251, s2.acc: 96.0049, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0482, loss: 0.8802 2023-11-14 08:09:54,947 - mmdet - INFO - Epoch [11][7200/7330] lr: 9.525e-07, eta: 1:22:40, time: 0.665, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.0981, s0.acc: 96.2061, s0.loss_bbox: 0.1865, s0.loss_mask: 0.1897, s1.loss_cls: 0.0468, s1.acc: 96.3284, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0999, s2.loss_cls: 0.0243, s2.acc: 96.1595, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0481, loss: 0.8589 2023-11-14 08:10:27,945 - mmdet - INFO - Epoch [11][7250/7330] lr: 9.525e-07, eta: 1:22:07, time: 0.660, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0168, s0.loss_cls: 0.0980, s0.acc: 96.2932, s0.loss_bbox: 0.1863, s0.loss_mask: 0.1889, s1.loss_cls: 0.0460, s1.acc: 96.5420, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0990, s2.loss_cls: 0.0242, s2.acc: 96.2603, s2.loss_bbox: 0.0406, s2.loss_mask: 0.0479, loss: 0.8525 2023-11-14 08:11:01,341 - mmdet - INFO - Epoch [11][7300/7330] lr: 9.525e-07, eta: 1:21:34, time: 0.668, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1034, s0.acc: 95.9973, s0.loss_bbox: 0.1985, s0.loss_mask: 0.1936, s1.loss_cls: 0.0494, s1.acc: 96.1482, s1.loss_bbox: 0.0971, s1.loss_mask: 0.1003, s2.loss_cls: 0.0258, s2.acc: 95.8878, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0482, loss: 0.8921 2023-11-14 08:11:21,875 - mmdet - INFO - Saving checkpoint at 11 epochs 2023-11-14 08:12:39,821 - mmdet - INFO - Evaluating bbox... 2023-11-14 08:13:07,634 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.556 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.745 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.602 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.391 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.596 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.721 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.670 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.670 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.670 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.713 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.823 2023-11-14 08:13:07,636 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.638 | bicycle | 0.437 | car | 0.553 | | motorcycle | 0.550 | airplane | 0.777 | bus | 0.757 | | train | 0.766 | truck | 0.506 | boat | 0.394 | | traffic light | 0.342 | fire hydrant | 0.790 | stop sign | 0.751 | | parking meter | 0.543 | bench | 0.387 | bird | 0.471 | | cat | 0.810 | dog | 0.776 | horse | 0.715 | | sheep | 0.650 | cow | 0.698 | elephant | 0.769 | | bear | 0.816 | zebra | 0.765 | giraffe | 0.785 | | backpack | 0.288 | umbrella | 0.526 | handbag | 0.302 | | tie | 0.478 | suitcase | 0.564 | frisbee | 0.754 | | skis | 0.378 | snowboard | 0.549 | sports ball | 0.547 | | kite | 0.523 | baseball bat | 0.526 | baseball glove | 0.507 | | skateboard | 0.646 | surfboard | 0.548 | tennis racket | 0.651 | | bottle | 0.524 | wine glass | 0.487 | cup | 0.577 | | fork | 0.568 | knife | 0.398 | spoon | 0.390 | | bowl | 0.544 | banana | 0.344 | apple | 0.328 | | sandwich | 0.531 | orange | 0.371 | broccoli | 0.298 | | carrot | 0.313 | hot dog | 0.566 | pizza | 0.619 | | donut | 0.646 | cake | 0.542 | chair | 0.425 | | couch | 0.554 | potted plant | 0.406 | bed | 0.562 | | dining table | 0.375 | toilet | 0.728 | tv | 0.685 | | laptop | 0.772 | mouse | 0.679 | remote | 0.543 | | keyboard | 0.626 | cell phone | 0.533 | microwave | 0.700 | | oven | 0.452 | toaster | 0.510 | sink | 0.507 | | refrigerator | 0.753 | book | 0.252 | clock | 0.551 | | vase | 0.476 | scissors | 0.538 | teddy bear | 0.658 | | hair drier | 0.394 | toothbrush | 0.498 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 08:13:07,636 - mmdet - INFO - Evaluating segm... 2023-11-14 08:13:35,244 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.483 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.722 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.527 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.287 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.515 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.676 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.590 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.590 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.590 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.425 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.630 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.749 2023-11-14 08:13:35,247 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.542 | bicycle | 0.268 | car | 0.497 | | motorcycle | 0.439 | airplane | 0.583 | bus | 0.715 | | train | 0.732 | truck | 0.475 | boat | 0.356 | | traffic light | 0.326 | fire hydrant | 0.729 | stop sign | 0.709 | | parking meter | 0.525 | bench | 0.288 | bird | 0.383 | | cat | 0.758 | dog | 0.689 | horse | 0.530 | | sheep | 0.565 | cow | 0.580 | elephant | 0.674 | | bear | 0.790 | zebra | 0.643 | giraffe | 0.604 | | backpack | 0.277 | umbrella | 0.558 | handbag | 0.265 | | tie | 0.425 | suitcase | 0.565 | frisbee | 0.685 | | skis | 0.091 | snowboard | 0.365 | sports ball | 0.526 | | kite | 0.369 | baseball bat | 0.368 | baseball glove | 0.513 | | skateboard | 0.426 | surfboard | 0.451 | tennis racket | 0.645 | | bottle | 0.482 | wine glass | 0.425 | cup | 0.561 | | fork | 0.301 | knife | 0.283 | spoon | 0.260 | | bowl | 0.488 | banana | 0.283 | apple | 0.310 | | sandwich | 0.521 | orange | 0.359 | broccoli | 0.258 | | carrot | 0.268 | hot dog | 0.456 | pizza | 0.579 | | donut | 0.633 | cake | 0.528 | chair | 0.303 | | couch | 0.450 | potted plant | 0.327 | bed | 0.437 | | dining table | 0.212 | toilet | 0.682 | tv | 0.698 | | laptop | 0.727 | mouse | 0.657 | remote | 0.461 | | keyboard | 0.586 | cell phone | 0.488 | microwave | 0.696 | | oven | 0.388 | toaster | 0.542 | sink | 0.450 | | refrigerator | 0.718 | book | 0.192 | clock | 0.540 | | vase | 0.452 | scissors | 0.374 | teddy bear | 0.592 | | hair drier | 0.391 | toothbrush | 0.339 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 08:13:35,609 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 08:13:35,609 - mmdet - INFO - Epoch(val) [11][625] bbox_mAP: 0.5557, bbox_mAP_50: 0.7452, bbox_mAP_75: 0.6020, bbox_mAP_s: 0.3915, bbox_mAP_m: 0.5963, bbox_mAP_l: 0.7210, bbox_mAP_copypaste: 0.5557 0.7452 0.6020 0.3915 0.5963 0.7210, segm_mAP: 0.4828, segm_mAP_50: 0.7225, segm_mAP_75: 0.5274, segm_mAP_s: 0.2872, segm_mAP_m: 0.5148, segm_mAP_l: 0.6764, segm_mAP_copypaste: 0.4828 0.7225 0.5274 0.2872 0.5148 0.6764 2023-11-14 08:14:13,039 - mmdet - INFO - Epoch [12][50/7330] lr: 9.525e-08, eta: 1:20:39, time: 0.748, data_time: 0.087, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0171, s0.loss_cls: 0.0984, s0.acc: 96.1133, s0.loss_bbox: 0.1926, s0.loss_mask: 0.1914, s1.loss_cls: 0.0468, s1.acc: 96.2408, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0999, s2.loss_cls: 0.0247, s2.acc: 96.0295, s2.loss_bbox: 0.0412, s2.loss_mask: 0.0481, loss: 0.8673 2023-11-14 08:14:46,669 - mmdet - INFO - Epoch [12][100/7330] lr: 9.525e-08, eta: 1:20:06, time: 0.673, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.0939, s0.acc: 96.3528, s0.loss_bbox: 0.1824, s0.loss_mask: 0.1843, s1.loss_cls: 0.0434, s1.acc: 96.5820, s1.loss_bbox: 0.0906, s1.loss_mask: 0.0970, s2.loss_cls: 0.0229, s2.acc: 96.3949, s2.loss_bbox: 0.0406, s2.loss_mask: 0.0471, loss: 0.8313 2023-11-14 08:15:20,973 - mmdet - INFO - Epoch [12][150/7330] lr: 9.525e-08, eta: 1:19:33, time: 0.686, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1036, s0.acc: 96.0359, s0.loss_bbox: 0.1991, s0.loss_mask: 0.1905, s1.loss_cls: 0.0485, s1.acc: 96.2055, s1.loss_bbox: 0.0975, s1.loss_mask: 0.0993, s2.loss_cls: 0.0255, s2.acc: 95.9859, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0481, loss: 0.8881 2023-11-14 08:15:55,014 - mmdet - INFO - Epoch [12][200/7330] lr: 9.525e-08, eta: 1:19:00, time: 0.681, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1034, s0.acc: 95.9624, s0.loss_bbox: 0.1959, s0.loss_mask: 0.1896, s1.loss_cls: 0.0490, s1.acc: 96.1609, s1.loss_bbox: 0.0958, s1.loss_mask: 0.1003, s2.loss_cls: 0.0254, s2.acc: 95.9744, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0485, loss: 0.8814 2023-11-14 08:16:28,845 - mmdet - INFO - Epoch [12][250/7330] lr: 9.525e-08, eta: 1:18:26, time: 0.677, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1018, s0.acc: 95.9900, s0.loss_bbox: 0.1971, s0.loss_mask: 0.1913, s1.loss_cls: 0.0478, s1.acc: 96.2294, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0995, s2.loss_cls: 0.0248, s2.acc: 95.9812, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0478, loss: 0.8793 2023-11-14 08:17:01,905 - mmdet - INFO - Epoch [12][300/7330] lr: 9.525e-08, eta: 1:17:53, time: 0.661, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0162, s0.loss_cls: 0.0931, s0.acc: 96.3882, s0.loss_bbox: 0.1874, s0.loss_mask: 0.1872, s1.loss_cls: 0.0436, s1.acc: 96.5936, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0978, s2.loss_cls: 0.0233, s2.acc: 96.2701, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0474, loss: 0.8426 2023-11-14 08:17:35,403 - mmdet - INFO - Epoch [12][350/7330] lr: 9.525e-08, eta: 1:17:20, time: 0.670, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.1000, s0.acc: 96.1558, s0.loss_bbox: 0.1933, s0.loss_mask: 0.1887, s1.loss_cls: 0.0463, s1.acc: 96.4546, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0979, s2.loss_cls: 0.0243, s2.acc: 96.2086, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0474, loss: 0.8632 2023-11-14 08:18:08,623 - mmdet - INFO - Epoch [12][400/7330] lr: 9.525e-08, eta: 1:16:47, time: 0.664, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.0988, s0.acc: 96.2444, s0.loss_bbox: 0.1897, s0.loss_mask: 0.1904, s1.loss_cls: 0.0459, s1.acc: 96.4993, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0994, s2.loss_cls: 0.0240, s2.acc: 96.2185, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0480, loss: 0.8603 2023-11-14 08:18:42,404 - mmdet - INFO - Epoch [12][450/7330] lr: 9.525e-08, eta: 1:16:14, time: 0.676, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.0993, s0.acc: 96.1262, s0.loss_bbox: 0.1914, s0.loss_mask: 0.1871, s1.loss_cls: 0.0473, s1.acc: 96.3316, s1.loss_bbox: 0.0947, s1.loss_mask: 0.0975, s2.loss_cls: 0.0247, s2.acc: 96.1103, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0472, loss: 0.8643 2023-11-14 08:19:16,051 - mmdet - INFO - Epoch [12][500/7330] lr: 9.525e-08, eta: 1:15:40, time: 0.673, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0987, s0.acc: 96.1924, s0.loss_bbox: 0.1892, s0.loss_mask: 0.1885, s1.loss_cls: 0.0465, s1.acc: 96.4382, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0986, s2.loss_cls: 0.0245, s2.acc: 96.1793, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0476, loss: 0.8598 2023-11-14 08:19:49,352 - mmdet - INFO - Epoch [12][550/7330] lr: 9.525e-08, eta: 1:15:07, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0169, s0.loss_cls: 0.0944, s0.acc: 96.3306, s0.loss_bbox: 0.1877, s0.loss_mask: 0.1854, s1.loss_cls: 0.0446, s1.acc: 96.4963, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0978, s2.loss_cls: 0.0236, s2.acc: 96.3124, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0473, loss: 0.8461 2023-11-14 08:20:22,982 - mmdet - INFO - Epoch [12][600/7330] lr: 9.525e-08, eta: 1:14:34, time: 0.673, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0203, s0.loss_cls: 0.1036, s0.acc: 95.9424, s0.loss_bbox: 0.1988, s0.loss_mask: 0.1898, s1.loss_cls: 0.0490, s1.acc: 96.1200, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1003, s2.loss_cls: 0.0257, s2.acc: 95.8854, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0484, loss: 0.8892 2023-11-14 08:20:56,328 - mmdet - INFO - Epoch [12][650/7330] lr: 9.525e-08, eta: 1:14:01, time: 0.667, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1009, s0.acc: 96.0364, s0.loss_bbox: 0.1950, s0.loss_mask: 0.1862, s1.loss_cls: 0.0479, s1.acc: 96.1875, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0981, s2.loss_cls: 0.0251, s2.acc: 95.9357, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0474, loss: 0.8712 2023-11-14 08:21:30,287 - mmdet - INFO - Epoch [12][700/7330] lr: 9.525e-08, eta: 1:13:27, time: 0.679, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1025, s0.acc: 96.0154, s0.loss_bbox: 0.1999, s0.loss_mask: 0.1961, s1.loss_cls: 0.0478, s1.acc: 96.2279, s1.loss_bbox: 0.0982, s1.loss_mask: 0.1019, s2.loss_cls: 0.0252, s2.acc: 95.9505, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0490, loss: 0.8970 2023-11-14 08:22:04,058 - mmdet - INFO - Epoch [12][750/7330] lr: 9.525e-08, eta: 1:12:54, time: 0.675, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.0977, s0.acc: 96.2471, s0.loss_bbox: 0.1905, s0.loss_mask: 0.1868, s1.loss_cls: 0.0457, s1.acc: 96.4585, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0985, s2.loss_cls: 0.0246, s2.acc: 96.1147, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0475, loss: 0.8583 2023-11-14 08:22:37,281 - mmdet - INFO - Epoch [12][800/7330] lr: 9.525e-08, eta: 1:12:21, time: 0.664, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1001, s0.acc: 96.1104, s0.loss_bbox: 0.1945, s0.loss_mask: 0.1896, s1.loss_cls: 0.0465, s1.acc: 96.3593, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0985, s2.loss_cls: 0.0244, s2.acc: 96.1340, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0476, loss: 0.8699 2023-11-14 08:23:10,842 - mmdet - INFO - Epoch [12][850/7330] lr: 9.525e-08, eta: 1:11:48, time: 0.671, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0164, s0.loss_cls: 0.0991, s0.acc: 96.1406, s0.loss_bbox: 0.1870, s0.loss_mask: 0.1863, s1.loss_cls: 0.0466, s1.acc: 96.3167, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0981, s2.loss_cls: 0.0245, s2.acc: 96.1645, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0474, loss: 0.8536 2023-11-14 08:23:44,313 - mmdet - INFO - Epoch [12][900/7330] lr: 9.525e-08, eta: 1:11:15, time: 0.669, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0992, s0.acc: 96.1858, s0.loss_bbox: 0.1892, s0.loss_mask: 0.1874, s1.loss_cls: 0.0461, s1.acc: 96.3535, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0990, s2.loss_cls: 0.0240, s2.acc: 96.1841, s2.loss_bbox: 0.0414, s2.loss_mask: 0.0476, loss: 0.8584 2023-11-14 08:24:17,867 - mmdet - INFO - Epoch [12][950/7330] lr: 9.525e-08, eta: 1:10:41, time: 0.671, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1000, s0.acc: 96.0691, s0.loss_bbox: 0.1921, s0.loss_mask: 0.1899, s1.loss_cls: 0.0475, s1.acc: 96.2214, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0998, s2.loss_cls: 0.0250, s2.acc: 95.9721, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0485, loss: 0.8717 2023-11-14 08:24:51,654 - mmdet - INFO - Epoch [12][1000/7330] lr: 9.525e-08, eta: 1:10:08, time: 0.676, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1015, s0.acc: 96.0686, s0.loss_bbox: 0.1954, s0.loss_mask: 0.1908, s1.loss_cls: 0.0481, s1.acc: 96.1838, s1.loss_bbox: 0.0964, s1.loss_mask: 0.0994, s2.loss_cls: 0.0251, s2.acc: 96.0096, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0479, loss: 0.8775 2023-11-14 08:25:24,926 - mmdet - INFO - Epoch [12][1050/7330] lr: 9.525e-08, eta: 1:09:35, time: 0.665, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0981, s0.acc: 96.1399, s0.loss_bbox: 0.1883, s0.loss_mask: 0.1898, s1.loss_cls: 0.0471, s1.acc: 96.2188, s1.loss_bbox: 0.0926, s1.loss_mask: 0.0995, s2.loss_cls: 0.0247, s2.acc: 95.9990, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0481, loss: 0.8588 2023-11-14 08:25:58,739 - mmdet - INFO - Epoch [12][1100/7330] lr: 9.525e-08, eta: 1:09:02, time: 0.676, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1029, s0.acc: 96.0554, s0.loss_bbox: 0.1944, s0.loss_mask: 0.1906, s1.loss_cls: 0.0482, s1.acc: 96.2863, s1.loss_bbox: 0.0956, s1.loss_mask: 0.0999, s2.loss_cls: 0.0252, s2.acc: 96.0168, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0482, loss: 0.8790 2023-11-14 08:26:31,806 - mmdet - INFO - Epoch [12][1150/7330] lr: 9.525e-08, eta: 1:08:28, time: 0.661, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0172, s0.loss_cls: 0.0987, s0.acc: 96.1699, s0.loss_bbox: 0.1907, s0.loss_mask: 0.1889, s1.loss_cls: 0.0464, s1.acc: 96.3395, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0990, s2.loss_cls: 0.0242, s2.acc: 96.1278, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0481, loss: 0.8623 2023-11-14 08:27:05,216 - mmdet - INFO - Epoch [12][1200/7330] lr: 9.525e-08, eta: 1:07:55, time: 0.668, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1031, s0.acc: 96.0081, s0.loss_bbox: 0.1912, s0.loss_mask: 0.1897, s1.loss_cls: 0.0487, s1.acc: 96.1728, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0983, s2.loss_cls: 0.0253, s2.acc: 95.9597, s2.loss_bbox: 0.0408, s2.loss_mask: 0.0472, loss: 0.8701 2023-11-14 08:27:38,192 - mmdet - INFO - Epoch [12][1250/7330] lr: 9.525e-08, eta: 1:07:22, time: 0.660, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0169, s0.loss_cls: 0.0971, s0.acc: 96.2397, s0.loss_bbox: 0.1894, s0.loss_mask: 0.1880, s1.loss_cls: 0.0460, s1.acc: 96.3961, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0980, s2.loss_cls: 0.0240, s2.acc: 96.1550, s2.loss_bbox: 0.0410, s2.loss_mask: 0.0471, loss: 0.8531 2023-11-14 08:28:11,883 - mmdet - INFO - Epoch [12][1300/7330] lr: 9.525e-08, eta: 1:06:49, time: 0.674, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1012, s0.acc: 96.0925, s0.loss_bbox: 0.1930, s0.loss_mask: 0.1887, s1.loss_cls: 0.0483, s1.acc: 96.3148, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0986, s2.loss_cls: 0.0257, s2.acc: 96.0026, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0474, loss: 0.8709 2023-11-14 08:28:45,458 - mmdet - INFO - Epoch [12][1350/7330] lr: 9.525e-08, eta: 1:06:16, time: 0.672, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.0956, s0.acc: 96.2327, s0.loss_bbox: 0.1859, s0.loss_mask: 0.1872, s1.loss_cls: 0.0458, s1.acc: 96.3464, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0975, s2.loss_cls: 0.0237, s2.acc: 96.1944, s2.loss_bbox: 0.0407, s2.loss_mask: 0.0473, loss: 0.8465 2023-11-14 08:29:19,414 - mmdet - INFO - Epoch [12][1400/7330] lr: 9.525e-08, eta: 1:05:42, time: 0.679, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.0986, s0.acc: 96.1731, s0.loss_bbox: 0.1882, s0.loss_mask: 0.1898, s1.loss_cls: 0.0457, s1.acc: 96.4166, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0997, s2.loss_cls: 0.0243, s2.acc: 96.1620, s2.loss_bbox: 0.0408, s2.loss_mask: 0.0481, loss: 0.8593 2023-11-14 08:29:53,174 - mmdet - INFO - Epoch [12][1450/7330] lr: 9.525e-08, eta: 1:05:09, time: 0.675, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1032, s0.acc: 96.0159, s0.loss_bbox: 0.1971, s0.loss_mask: 0.1877, s1.loss_cls: 0.0483, s1.acc: 96.2324, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0981, s2.loss_cls: 0.0255, s2.acc: 96.0235, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0474, loss: 0.8811 2023-11-14 08:30:26,717 - mmdet - INFO - Epoch [12][1500/7330] lr: 9.525e-08, eta: 1:04:36, time: 0.671, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1018, s0.acc: 96.0920, s0.loss_bbox: 0.1935, s0.loss_mask: 0.1902, s1.loss_cls: 0.0473, s1.acc: 96.3044, s1.loss_bbox: 0.0958, s1.loss_mask: 0.1001, s2.loss_cls: 0.0249, s2.acc: 96.0080, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0482, loss: 0.8760 2023-11-14 08:31:00,054 - mmdet - INFO - Epoch [12][1550/7330] lr: 9.525e-08, eta: 1:04:03, time: 0.667, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.0999, s0.acc: 96.1396, s0.loss_bbox: 0.1890, s0.loss_mask: 0.1897, s1.loss_cls: 0.0467, s1.acc: 96.3148, s1.loss_bbox: 0.0926, s1.loss_mask: 0.0994, s2.loss_cls: 0.0243, s2.acc: 96.1086, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0483, loss: 0.8623 2023-11-14 08:31:33,832 - mmdet - INFO - Epoch [12][1600/7330] lr: 9.525e-08, eta: 1:03:29, time: 0.676, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1050, s0.acc: 96.0046, s0.loss_bbox: 0.2001, s0.loss_mask: 0.1911, s1.loss_cls: 0.0486, s1.acc: 96.2022, s1.loss_bbox: 0.0983, s1.loss_mask: 0.1004, s2.loss_cls: 0.0254, s2.acc: 96.0424, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0484, loss: 0.8908 2023-11-14 08:32:07,540 - mmdet - INFO - Epoch [12][1650/7330] lr: 9.525e-08, eta: 1:02:56, time: 0.674, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1030, s0.acc: 95.9692, s0.loss_bbox: 0.1964, s0.loss_mask: 0.1913, s1.loss_cls: 0.0484, s1.acc: 96.1478, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0997, s2.loss_cls: 0.0251, s2.acc: 95.9521, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0481, loss: 0.8840 2023-11-14 08:32:41,032 - mmdet - INFO - Epoch [12][1700/7330] lr: 9.525e-08, eta: 1:02:23, time: 0.670, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1000, s0.acc: 96.1475, s0.loss_bbox: 0.1917, s0.loss_mask: 0.1885, s1.loss_cls: 0.0471, s1.acc: 96.3184, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0987, s2.loss_cls: 0.0248, s2.acc: 96.0565, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0476, loss: 0.8660 2023-11-14 08:33:14,527 - mmdet - INFO - Epoch [12][1750/7330] lr: 9.525e-08, eta: 1:01:50, time: 0.670, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1019, s0.acc: 96.0662, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1890, s1.loss_cls: 0.0478, s1.acc: 96.2874, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0994, s2.loss_cls: 0.0250, s2.acc: 96.0086, s2.loss_bbox: 0.0431, s2.loss_mask: 0.0483, loss: 0.8800 2023-11-14 08:33:50,195 - mmdet - INFO - Epoch [12][1800/7330] lr: 9.525e-08, eta: 1:01:17, time: 0.713, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.0944, s0.acc: 96.2947, s0.loss_bbox: 0.1855, s0.loss_mask: 0.1893, s1.loss_cls: 0.0454, s1.acc: 96.4196, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0994, s2.loss_cls: 0.0235, s2.acc: 96.1580, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0483, loss: 0.8482 2023-11-14 08:34:23,881 - mmdet - INFO - Epoch [12][1850/7330] lr: 9.525e-08, eta: 1:00:43, time: 0.674, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1010, s0.acc: 96.1064, s0.loss_bbox: 0.1926, s0.loss_mask: 0.1885, s1.loss_cls: 0.0474, s1.acc: 96.3323, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0980, s2.loss_cls: 0.0248, s2.acc: 96.0527, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0474, loss: 0.8675 2023-11-14 08:34:56,899 - mmdet - INFO - Epoch [12][1900/7330] lr: 9.525e-08, eta: 1:00:10, time: 0.660, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0163, s0.loss_cls: 0.0964, s0.acc: 96.2485, s0.loss_bbox: 0.1888, s0.loss_mask: 0.1853, s1.loss_cls: 0.0454, s1.acc: 96.3800, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0972, s2.loss_cls: 0.0241, s2.acc: 96.1883, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0468, loss: 0.8479 2023-11-14 08:35:30,056 - mmdet - INFO - Epoch [12][1950/7330] lr: 9.525e-08, eta: 0:59:37, time: 0.663, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0983, s0.acc: 96.2439, s0.loss_bbox: 0.1934, s0.loss_mask: 0.1915, s1.loss_cls: 0.0461, s1.acc: 96.4316, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0996, s2.loss_cls: 0.0245, s2.acc: 96.1716, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0480, loss: 0.8667 2023-11-14 08:36:03,255 - mmdet - INFO - Epoch [12][2000/7330] lr: 9.525e-08, eta: 0:59:04, time: 0.664, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0980, s0.acc: 96.2339, s0.loss_bbox: 0.1891, s0.loss_mask: 0.1868, s1.loss_cls: 0.0462, s1.acc: 96.4016, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0984, s2.loss_cls: 0.0245, s2.acc: 96.1410, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0471, loss: 0.8550 2023-11-14 08:36:36,564 - mmdet - INFO - Epoch [12][2050/7330] lr: 9.525e-08, eta: 0:58:30, time: 0.666, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0162, s0.loss_cls: 0.0920, s0.acc: 96.4102, s0.loss_bbox: 0.1822, s0.loss_mask: 0.1797, s1.loss_cls: 0.0428, s1.acc: 96.6586, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0948, s2.loss_cls: 0.0226, s2.acc: 96.4075, s2.loss_bbox: 0.0406, s2.loss_mask: 0.0457, loss: 0.8195 2023-11-14 08:37:09,257 - mmdet - INFO - Epoch [12][2100/7330] lr: 9.525e-08, eta: 0:57:57, time: 0.654, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.0961, s0.acc: 96.2766, s0.loss_bbox: 0.1914, s0.loss_mask: 0.1892, s1.loss_cls: 0.0449, s1.acc: 96.4875, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0989, s2.loss_cls: 0.0237, s2.acc: 96.2165, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0478, loss: 0.8573 2023-11-14 08:37:42,960 - mmdet - INFO - Epoch [12][2150/7330] lr: 9.525e-08, eta: 0:57:24, time: 0.674, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1005, s0.acc: 96.1218, s0.loss_bbox: 0.1971, s0.loss_mask: 0.1924, s1.loss_cls: 0.0467, s1.acc: 96.3755, s1.loss_bbox: 0.0968, s1.loss_mask: 0.1000, s2.loss_cls: 0.0245, s2.acc: 96.1567, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0483, loss: 0.8792 2023-11-14 08:38:16,718 - mmdet - INFO - Epoch [12][2200/7330] lr: 9.525e-08, eta: 0:56:51, time: 0.675, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1056, s0.acc: 95.9448, s0.loss_bbox: 0.1971, s0.loss_mask: 0.1927, s1.loss_cls: 0.0495, s1.acc: 96.1141, s1.loss_bbox: 0.0968, s1.loss_mask: 0.1013, s2.loss_cls: 0.0260, s2.acc: 95.8391, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0489, loss: 0.8917 2023-11-14 08:38:49,855 - mmdet - INFO - Epoch [12][2250/7330] lr: 9.525e-08, eta: 0:56:17, time: 0.663, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1037, s0.acc: 95.9805, s0.loss_bbox: 0.2007, s0.loss_mask: 0.1894, s1.loss_cls: 0.0491, s1.acc: 96.1864, s1.loss_bbox: 0.0987, s1.loss_mask: 0.0996, s2.loss_cls: 0.0261, s2.acc: 95.9968, s2.loss_bbox: 0.0434, s2.loss_mask: 0.0482, loss: 0.8894 2023-11-14 08:39:23,188 - mmdet - INFO - Epoch [12][2300/7330] lr: 9.525e-08, eta: 0:55:44, time: 0.667, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1024, s0.acc: 96.0249, s0.loss_bbox: 0.1995, s0.loss_mask: 0.1925, s1.loss_cls: 0.0480, s1.acc: 96.2491, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1004, s2.loss_cls: 0.0250, s2.acc: 96.0378, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0486, loss: 0.8903 2023-11-14 08:39:56,445 - mmdet - INFO - Epoch [12][2350/7330] lr: 9.525e-08, eta: 0:55:11, time: 0.665, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0990, s0.acc: 96.2046, s0.loss_bbox: 0.1914, s0.loss_mask: 0.1897, s1.loss_cls: 0.0462, s1.acc: 96.3950, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0991, s2.loss_cls: 0.0248, s2.acc: 96.1127, s2.loss_bbox: 0.0404, s2.loss_mask: 0.0475, loss: 0.8614 2023-11-14 08:40:29,695 - mmdet - INFO - Epoch [12][2400/7330] lr: 9.525e-08, eta: 0:54:38, time: 0.665, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0962, s0.acc: 96.2666, s0.loss_bbox: 0.1906, s0.loss_mask: 0.1874, s1.loss_cls: 0.0462, s1.acc: 96.4018, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0981, s2.loss_cls: 0.0245, s2.acc: 96.1031, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0472, loss: 0.8551 2023-11-14 08:41:05,335 - mmdet - INFO - Epoch [12][2450/7330] lr: 9.525e-08, eta: 0:54:05, time: 0.713, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0166, s0.loss_cls: 0.1002, s0.acc: 96.0940, s0.loss_bbox: 0.1911, s0.loss_mask: 0.1894, s1.loss_cls: 0.0470, s1.acc: 96.3277, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0988, s2.loss_cls: 0.0248, s2.acc: 96.0544, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0473, loss: 0.8651 2023-11-14 08:41:40,821 - mmdet - INFO - Epoch [12][2500/7330] lr: 9.525e-08, eta: 0:53:32, time: 0.710, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1012, s0.acc: 95.9841, s0.loss_bbox: 0.1945, s0.loss_mask: 0.1924, s1.loss_cls: 0.0470, s1.acc: 96.1897, s1.loss_bbox: 0.0961, s1.loss_mask: 0.1000, s2.loss_cls: 0.0247, s2.acc: 96.0305, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0482, loss: 0.8771 2023-11-14 08:42:14,607 - mmdet - INFO - Epoch [12][2550/7330] lr: 9.525e-08, eta: 0:52:58, time: 0.676, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1098, s0.acc: 95.7617, s0.loss_bbox: 0.2071, s0.loss_mask: 0.1930, s1.loss_cls: 0.0517, s1.acc: 95.9143, s1.loss_bbox: 0.1016, s1.loss_mask: 0.1008, s2.loss_cls: 0.0266, s2.acc: 95.7624, s2.loss_bbox: 0.0443, s2.loss_mask: 0.0487, loss: 0.9166 2023-11-14 08:42:47,673 - mmdet - INFO - Epoch [12][2600/7330] lr: 9.525e-08, eta: 0:52:25, time: 0.661, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0164, s0.loss_cls: 0.0943, s0.acc: 96.3779, s0.loss_bbox: 0.1797, s0.loss_mask: 0.1870, s1.loss_cls: 0.0451, s1.acc: 96.4652, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0984, s2.loss_cls: 0.0237, s2.acc: 96.2026, s2.loss_bbox: 0.0393, s2.loss_mask: 0.0475, loss: 0.8326 2023-11-14 08:43:21,454 - mmdet - INFO - Epoch [12][2650/7330] lr: 9.525e-08, eta: 0:51:52, time: 0.676, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1024, s0.acc: 96.0503, s0.loss_bbox: 0.1977, s0.loss_mask: 0.1915, s1.loss_cls: 0.0488, s1.acc: 96.2382, s1.loss_bbox: 0.0971, s1.loss_mask: 0.1005, s2.loss_cls: 0.0254, s2.acc: 96.0100, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0486, loss: 0.8864 2023-11-14 08:43:54,276 - mmdet - INFO - Epoch [12][2700/7330] lr: 9.525e-08, eta: 0:51:19, time: 0.656, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1016, s0.acc: 96.0630, s0.loss_bbox: 0.1940, s0.loss_mask: 0.1926, s1.loss_cls: 0.0484, s1.acc: 96.2285, s1.loss_bbox: 0.0956, s1.loss_mask: 0.1010, s2.loss_cls: 0.0253, s2.acc: 96.0285, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0486, loss: 0.8797 2023-11-14 08:44:27,939 - mmdet - INFO - Epoch [12][2750/7330] lr: 9.525e-08, eta: 0:50:45, time: 0.673, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0197, s0.loss_cls: 0.1058, s0.acc: 95.8589, s0.loss_bbox: 0.2005, s0.loss_mask: 0.1924, s1.loss_cls: 0.0499, s1.acc: 96.0644, s1.loss_bbox: 0.0977, s1.loss_mask: 0.0995, s2.loss_cls: 0.0263, s2.acc: 95.8187, s2.loss_bbox: 0.0430, s2.loss_mask: 0.0479, loss: 0.8964 2023-11-14 08:45:00,978 - mmdet - INFO - Epoch [12][2800/7330] lr: 9.525e-08, eta: 0:50:12, time: 0.661, data_time: 0.020, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0998, s0.acc: 96.1802, s0.loss_bbox: 0.1915, s0.loss_mask: 0.1878, s1.loss_cls: 0.0465, s1.acc: 96.4517, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0983, s2.loss_cls: 0.0244, s2.acc: 96.1891, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0475, loss: 0.8608 2023-11-14 08:45:34,119 - mmdet - INFO - Epoch [12][2850/7330] lr: 9.525e-08, eta: 0:49:39, time: 0.663, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1040, s0.acc: 95.9434, s0.loss_bbox: 0.1994, s0.loss_mask: 0.1933, s1.loss_cls: 0.0488, s1.acc: 96.1369, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1000, s2.loss_cls: 0.0257, s2.acc: 95.8475, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0477, loss: 0.8913 2023-11-14 08:46:07,912 - mmdet - INFO - Epoch [12][2900/7330] lr: 9.525e-08, eta: 0:49:06, time: 0.676, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0979, s0.acc: 96.1619, s0.loss_bbox: 0.1941, s0.loss_mask: 0.1919, s1.loss_cls: 0.0459, s1.acc: 96.3532, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0995, s2.loss_cls: 0.0238, s2.acc: 96.1758, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0478, loss: 0.8670 2023-11-14 08:46:41,208 - mmdet - INFO - Epoch [12][2950/7330] lr: 9.525e-08, eta: 0:48:32, time: 0.666, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1039, s0.acc: 95.9744, s0.loss_bbox: 0.1995, s0.loss_mask: 0.1896, s1.loss_cls: 0.0499, s1.acc: 96.1698, s1.loss_bbox: 0.0982, s1.loss_mask: 0.0993, s2.loss_cls: 0.0265, s2.acc: 95.8411, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0479, loss: 0.8892 2023-11-14 08:47:14,822 - mmdet - INFO - Epoch [12][3000/7330] lr: 9.525e-08, eta: 0:47:59, time: 0.672, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.1001, s0.acc: 96.1890, s0.loss_bbox: 0.1881, s0.loss_mask: 0.1870, s1.loss_cls: 0.0471, s1.acc: 96.3518, s1.loss_bbox: 0.0920, s1.loss_mask: 0.0973, s2.loss_cls: 0.0247, s2.acc: 96.0971, s2.loss_bbox: 0.0400, s2.loss_mask: 0.0467, loss: 0.8537 2023-11-14 08:47:48,169 - mmdet - INFO - Epoch [12][3050/7330] lr: 9.525e-08, eta: 0:47:26, time: 0.667, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.1007, s0.acc: 96.1619, s0.loss_bbox: 0.1934, s0.loss_mask: 0.1906, s1.loss_cls: 0.0477, s1.acc: 96.3122, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0992, s2.loss_cls: 0.0249, s2.acc: 96.1513, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0479, loss: 0.8723 2023-11-14 08:48:21,376 - mmdet - INFO - Epoch [12][3100/7330] lr: 9.525e-08, eta: 0:46:53, time: 0.664, data_time: 0.019, memory: 30155, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0974, s0.acc: 96.2234, s0.loss_bbox: 0.1859, s0.loss_mask: 0.1892, s1.loss_cls: 0.0466, s1.acc: 96.3671, s1.loss_bbox: 0.0926, s1.loss_mask: 0.0998, s2.loss_cls: 0.0245, s2.acc: 96.0802, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0480, loss: 0.8543 2023-11-14 08:48:57,825 - mmdet - INFO - Epoch [12][3150/7330] lr: 9.525e-08, eta: 0:46:19, time: 0.729, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1049, s0.acc: 95.8936, s0.loss_bbox: 0.1969, s0.loss_mask: 0.1900, s1.loss_cls: 0.0505, s1.acc: 96.0197, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1000, s2.loss_cls: 0.0265, s2.acc: 95.8584, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0482, loss: 0.8894 2023-11-14 08:49:33,825 - mmdet - INFO - Epoch [12][3200/7330] lr: 9.525e-08, eta: 0:45:46, time: 0.720, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0986, s0.acc: 96.2029, s0.loss_bbox: 0.1926, s0.loss_mask: 0.1900, s1.loss_cls: 0.0459, s1.acc: 96.4028, s1.loss_bbox: 0.0954, s1.loss_mask: 0.1001, s2.loss_cls: 0.0242, s2.acc: 96.1970, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0485, loss: 0.8669 2023-11-14 08:50:09,724 - mmdet - INFO - Epoch [12][3250/7330] lr: 9.525e-08, eta: 0:45:13, time: 0.718, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1010, s0.acc: 96.1296, s0.loss_bbox: 0.1948, s0.loss_mask: 0.1907, s1.loss_cls: 0.0479, s1.acc: 96.3101, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0993, s2.loss_cls: 0.0251, s2.acc: 96.0481, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0476, loss: 0.8744 2023-11-14 08:50:43,005 - mmdet - INFO - Epoch [12][3300/7330] lr: 9.525e-08, eta: 0:44:40, time: 0.666, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0172, s0.loss_cls: 0.0954, s0.acc: 96.3489, s0.loss_bbox: 0.1889, s0.loss_mask: 0.1870, s1.loss_cls: 0.0449, s1.acc: 96.5095, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0981, s2.loss_cls: 0.0237, s2.acc: 96.1925, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0474, loss: 0.8507 2023-11-14 08:51:17,057 - mmdet - INFO - Epoch [12][3350/7330] lr: 9.525e-08, eta: 0:44:07, time: 0.681, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1033, s0.acc: 95.9795, s0.loss_bbox: 0.2008, s0.loss_mask: 0.1961, s1.loss_cls: 0.0496, s1.acc: 96.0697, s1.loss_bbox: 0.0991, s1.loss_mask: 0.1021, s2.loss_cls: 0.0262, s2.acc: 95.7921, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0490, loss: 0.8996 2023-11-14 08:51:51,071 - mmdet - INFO - Epoch [12][3400/7330] lr: 9.525e-08, eta: 0:43:34, time: 0.680, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0191, s0.loss_cls: 0.1062, s0.acc: 95.8386, s0.loss_bbox: 0.2004, s0.loss_mask: 0.1935, s1.loss_cls: 0.0499, s1.acc: 95.9947, s1.loss_bbox: 0.0973, s1.loss_mask: 0.1007, s2.loss_cls: 0.0265, s2.acc: 95.7419, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0485, loss: 0.8984 2023-11-14 08:52:24,909 - mmdet - INFO - Epoch [12][3450/7330] lr: 9.525e-08, eta: 0:43:00, time: 0.677, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.0986, s0.acc: 96.1428, s0.loss_bbox: 0.1933, s0.loss_mask: 0.1924, s1.loss_cls: 0.0471, s1.acc: 96.2414, s1.loss_bbox: 0.0958, s1.loss_mask: 0.1008, s2.loss_cls: 0.0245, s2.acc: 95.9891, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0487, loss: 0.8749 2023-11-14 08:52:58,190 - mmdet - INFO - Epoch [12][3500/7330] lr: 9.525e-08, eta: 0:42:27, time: 0.666, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1021, s0.acc: 95.9885, s0.loss_bbox: 0.1938, s0.loss_mask: 0.1896, s1.loss_cls: 0.0479, s1.acc: 96.2085, s1.loss_bbox: 0.0947, s1.loss_mask: 0.0982, s2.loss_cls: 0.0254, s2.acc: 95.8938, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0473, loss: 0.8731 2023-11-14 08:53:32,032 - mmdet - INFO - Epoch [12][3550/7330] lr: 9.525e-08, eta: 0:41:54, time: 0.677, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1036, s0.acc: 95.9241, s0.loss_bbox: 0.1966, s0.loss_mask: 0.1937, s1.loss_cls: 0.0492, s1.acc: 96.0949, s1.loss_bbox: 0.0970, s1.loss_mask: 0.1012, s2.loss_cls: 0.0259, s2.acc: 95.9285, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0488, loss: 0.8903 2023-11-14 08:54:05,612 - mmdet - INFO - Epoch [12][3600/7330] lr: 9.525e-08, eta: 0:41:21, time: 0.672, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1022, s0.acc: 96.0774, s0.loss_bbox: 0.1933, s0.loss_mask: 0.1892, s1.loss_cls: 0.0485, s1.acc: 96.2181, s1.loss_bbox: 0.0956, s1.loss_mask: 0.0992, s2.loss_cls: 0.0253, s2.acc: 96.0725, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0478, loss: 0.8746 2023-11-14 08:54:39,424 - mmdet - INFO - Epoch [12][3650/7330] lr: 9.525e-08, eta: 0:40:47, time: 0.676, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.0957, s0.acc: 96.2805, s0.loss_bbox: 0.1871, s0.loss_mask: 0.1911, s1.loss_cls: 0.0450, s1.acc: 96.3999, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0995, s2.loss_cls: 0.0236, s2.acc: 96.2137, s2.loss_bbox: 0.0401, s2.loss_mask: 0.0479, loss: 0.8505 2023-11-14 08:55:12,998 - mmdet - INFO - Epoch [12][3700/7330] lr: 9.525e-08, eta: 0:40:14, time: 0.671, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.1031, s0.acc: 96.0134, s0.loss_bbox: 0.1974, s0.loss_mask: 0.1906, s1.loss_cls: 0.0482, s1.acc: 96.1599, s1.loss_bbox: 0.0981, s1.loss_mask: 0.1002, s2.loss_cls: 0.0254, s2.acc: 95.9121, s2.loss_bbox: 0.0433, s2.loss_mask: 0.0482, loss: 0.8846 2023-11-14 08:55:46,089 - mmdet - INFO - Epoch [12][3750/7330] lr: 9.525e-08, eta: 0:39:41, time: 0.662, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1002, s0.acc: 96.0938, s0.loss_bbox: 0.1944, s0.loss_mask: 0.1908, s1.loss_cls: 0.0468, s1.acc: 96.3166, s1.loss_bbox: 0.0959, s1.loss_mask: 0.1003, s2.loss_cls: 0.0245, s2.acc: 96.1209, s2.loss_bbox: 0.0420, s2.loss_mask: 0.0481, loss: 0.8737 2023-11-14 08:56:19,842 - mmdet - INFO - Epoch [12][3800/7330] lr: 9.525e-08, eta: 0:39:08, time: 0.675, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0185, s0.loss_cls: 0.1012, s0.acc: 96.0264, s0.loss_bbox: 0.1925, s0.loss_mask: 0.1896, s1.loss_cls: 0.0482, s1.acc: 96.1921, s1.loss_bbox: 0.0957, s1.loss_mask: 0.1002, s2.loss_cls: 0.0253, s2.acc: 96.0048, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0483, loss: 0.8740 2023-11-14 08:56:53,658 - mmdet - INFO - Epoch [12][3850/7330] lr: 9.525e-08, eta: 0:38:34, time: 0.676, data_time: 0.037, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1037, s0.acc: 96.0010, s0.loss_bbox: 0.1963, s0.loss_mask: 0.1924, s1.loss_cls: 0.0493, s1.acc: 96.1343, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1003, s2.loss_cls: 0.0260, s2.acc: 95.8192, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0484, loss: 0.8864 2023-11-14 08:57:27,181 - mmdet - INFO - Epoch [12][3900/7330] lr: 9.525e-08, eta: 0:38:01, time: 0.671, data_time: 0.032, memory: 30155, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1057, s0.acc: 95.8723, s0.loss_bbox: 0.2031, s0.loss_mask: 0.1970, s1.loss_cls: 0.0494, s1.acc: 96.1364, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1026, s2.loss_cls: 0.0256, s2.acc: 95.9407, s2.loss_bbox: 0.0437, s2.loss_mask: 0.0491, loss: 0.9105 2023-11-14 08:58:01,129 - mmdet - INFO - Epoch [12][3950/7330] lr: 9.525e-08, eta: 0:37:28, time: 0.679, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1091, s0.acc: 95.7434, s0.loss_bbox: 0.2028, s0.loss_mask: 0.1931, s1.loss_cls: 0.0521, s1.acc: 95.8961, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1005, s2.loss_cls: 0.0274, s2.acc: 95.6458, s2.loss_bbox: 0.0438, s2.loss_mask: 0.0484, loss: 0.9094 2023-11-14 08:58:34,501 - mmdet - INFO - Epoch [12][4000/7330] lr: 9.525e-08, eta: 0:36:55, time: 0.667, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0160, s0.loss_cls: 0.0951, s0.acc: 96.3853, s0.loss_bbox: 0.1850, s0.loss_mask: 0.1839, s1.loss_cls: 0.0438, s1.acc: 96.6502, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0971, s2.loss_cls: 0.0229, s2.acc: 96.4159, s2.loss_bbox: 0.0407, s2.loss_mask: 0.0471, loss: 0.8353 2023-11-14 08:59:08,104 - mmdet - INFO - Epoch [12][4050/7330] lr: 9.525e-08, eta: 0:36:21, time: 0.672, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0172, s0.loss_cls: 0.0929, s0.acc: 96.3906, s0.loss_bbox: 0.1818, s0.loss_mask: 0.1878, s1.loss_cls: 0.0439, s1.acc: 96.5609, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0981, s2.loss_cls: 0.0232, s2.acc: 96.3113, s2.loss_bbox: 0.0401, s2.loss_mask: 0.0474, loss: 0.8353 2023-11-14 08:59:41,442 - mmdet - INFO - Epoch [12][4100/7330] lr: 9.525e-08, eta: 0:35:48, time: 0.667, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0172, s0.loss_cls: 0.0977, s0.acc: 96.2837, s0.loss_bbox: 0.1918, s0.loss_mask: 0.1864, s1.loss_cls: 0.0461, s1.acc: 96.5243, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0985, s2.loss_cls: 0.0240, s2.acc: 96.3374, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0476, loss: 0.8592 2023-11-14 09:00:17,352 - mmdet - INFO - Epoch [12][4150/7330] lr: 9.525e-08, eta: 0:35:15, time: 0.718, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1034, s0.acc: 95.9915, s0.loss_bbox: 0.1960, s0.loss_mask: 0.1919, s1.loss_cls: 0.0490, s1.acc: 96.1962, s1.loss_bbox: 0.0959, s1.loss_mask: 0.1005, s2.loss_cls: 0.0255, s2.acc: 95.9649, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0485, loss: 0.8869 2023-11-14 09:00:50,743 - mmdet - INFO - Epoch [12][4200/7330] lr: 9.525e-08, eta: 0:34:42, time: 0.668, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1059, s0.acc: 95.8843, s0.loss_bbox: 0.2006, s0.loss_mask: 0.1919, s1.loss_cls: 0.0500, s1.acc: 96.0625, s1.loss_bbox: 0.0989, s1.loss_mask: 0.0993, s2.loss_cls: 0.0262, s2.acc: 95.8177, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0476, loss: 0.8960 2023-11-14 09:01:23,828 - mmdet - INFO - Epoch [12][4250/7330] lr: 9.525e-08, eta: 0:34:08, time: 0.662, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1018, s0.acc: 96.0139, s0.loss_bbox: 0.1949, s0.loss_mask: 0.1926, s1.loss_cls: 0.0476, s1.acc: 96.2603, s1.loss_bbox: 0.0963, s1.loss_mask: 0.1004, s2.loss_cls: 0.0251, s2.acc: 95.9377, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0480, loss: 0.8807 2023-11-14 09:01:57,168 - mmdet - INFO - Epoch [12][4300/7330] lr: 9.525e-08, eta: 0:33:35, time: 0.667, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1005, s0.acc: 96.0918, s0.loss_bbox: 0.1944, s0.loss_mask: 0.1942, s1.loss_cls: 0.0470, s1.acc: 96.2919, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1018, s2.loss_cls: 0.0248, s2.acc: 96.0029, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0489, loss: 0.8811 2023-11-14 09:02:32,792 - mmdet - INFO - Epoch [12][4350/7330] lr: 9.525e-08, eta: 0:33:02, time: 0.713, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0171, s0.loss_cls: 0.1028, s0.acc: 96.0269, s0.loss_bbox: 0.1976, s0.loss_mask: 0.1970, s1.loss_cls: 0.0483, s1.acc: 96.2057, s1.loss_bbox: 0.0966, s1.loss_mask: 0.1020, s2.loss_cls: 0.0252, s2.acc: 95.9681, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0493, loss: 0.8913 2023-11-14 09:03:06,153 - mmdet - INFO - Epoch [12][4400/7330] lr: 9.525e-08, eta: 0:32:29, time: 0.667, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.0988, s0.acc: 96.1584, s0.loss_bbox: 0.1889, s0.loss_mask: 0.1869, s1.loss_cls: 0.0480, s1.acc: 96.2170, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0978, s2.loss_cls: 0.0248, s2.acc: 96.0136, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0472, loss: 0.8587 2023-11-14 09:03:39,856 - mmdet - INFO - Epoch [12][4450/7330] lr: 9.525e-08, eta: 0:31:55, time: 0.674, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.0990, s0.acc: 96.1863, s0.loss_bbox: 0.1950, s0.loss_mask: 0.1890, s1.loss_cls: 0.0465, s1.acc: 96.4039, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0993, s2.loss_cls: 0.0246, s2.acc: 96.1728, s2.loss_bbox: 0.0422, s2.loss_mask: 0.0479, loss: 0.8697 2023-11-14 09:04:13,041 - mmdet - INFO - Epoch [12][4500/7330] lr: 9.525e-08, eta: 0:31:22, time: 0.664, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0992, s0.acc: 96.1340, s0.loss_bbox: 0.1944, s0.loss_mask: 0.1906, s1.loss_cls: 0.0473, s1.acc: 96.2883, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0992, s2.loss_cls: 0.0246, s2.acc: 96.1056, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0479, loss: 0.8718 2023-11-14 09:04:46,141 - mmdet - INFO - Epoch [12][4550/7330] lr: 9.525e-08, eta: 0:30:49, time: 0.662, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0105, loss_rpn_bbox: 0.0161, s0.loss_cls: 0.0903, s0.acc: 96.5129, s0.loss_bbox: 0.1814, s0.loss_mask: 0.1832, s1.loss_cls: 0.0425, s1.acc: 96.6129, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0961, s2.loss_cls: 0.0222, s2.acc: 96.4808, s2.loss_bbox: 0.0402, s2.loss_mask: 0.0469, loss: 0.8198 2023-11-14 09:05:19,829 - mmdet - INFO - Epoch [12][4600/7330] lr: 9.525e-08, eta: 0:30:16, time: 0.674, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.0993, s0.acc: 96.1284, s0.loss_bbox: 0.1911, s0.loss_mask: 0.1884, s1.loss_cls: 0.0473, s1.acc: 96.2904, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0987, s2.loss_cls: 0.0246, s2.acc: 96.0510, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0477, loss: 0.8644 2023-11-14 09:05:53,431 - mmdet - INFO - Epoch [12][4650/7330] lr: 9.525e-08, eta: 0:29:42, time: 0.672, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0174, s0.loss_cls: 0.0990, s0.acc: 96.1638, s0.loss_bbox: 0.1928, s0.loss_mask: 0.1881, s1.loss_cls: 0.0470, s1.acc: 96.2200, s1.loss_bbox: 0.0947, s1.loss_mask: 0.0976, s2.loss_cls: 0.0243, s2.acc: 96.0525, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0469, loss: 0.8625 2023-11-14 09:06:26,743 - mmdet - INFO - Epoch [12][4700/7330] lr: 9.525e-08, eta: 0:29:09, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.0992, s0.acc: 96.1704, s0.loss_bbox: 0.1941, s0.loss_mask: 0.1922, s1.loss_cls: 0.0468, s1.acc: 96.3384, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1009, s2.loss_cls: 0.0245, s2.acc: 96.0888, s2.loss_bbox: 0.0425, s2.loss_mask: 0.0485, loss: 0.8756 2023-11-14 09:07:00,185 - mmdet - INFO - Epoch [12][4750/7330] lr: 9.525e-08, eta: 0:28:36, time: 0.669, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1017, s0.acc: 96.1169, s0.loss_bbox: 0.1942, s0.loss_mask: 0.1920, s1.loss_cls: 0.0478, s1.acc: 96.2869, s1.loss_bbox: 0.0949, s1.loss_mask: 0.1002, s2.loss_cls: 0.0254, s2.acc: 95.9687, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0482, loss: 0.8761 2023-11-14 09:07:33,244 - mmdet - INFO - Epoch [12][4800/7330] lr: 9.525e-08, eta: 0:28:03, time: 0.661, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0178, s0.loss_cls: 0.1013, s0.acc: 96.0969, s0.loss_bbox: 0.1935, s0.loss_mask: 0.1891, s1.loss_cls: 0.0477, s1.acc: 96.2797, s1.loss_bbox: 0.0960, s1.loss_mask: 0.0999, s2.loss_cls: 0.0251, s2.acc: 96.0253, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0481, loss: 0.8734 2023-11-14 09:08:06,625 - mmdet - INFO - Epoch [12][4850/7330] lr: 9.525e-08, eta: 0:27:29, time: 0.668, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1085, s0.acc: 95.8101, s0.loss_bbox: 0.2063, s0.loss_mask: 0.1943, s1.loss_cls: 0.0509, s1.acc: 95.9924, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1009, s2.loss_cls: 0.0265, s2.acc: 95.8263, s2.loss_bbox: 0.0442, s2.loss_mask: 0.0486, loss: 0.9140 2023-11-14 09:08:40,022 - mmdet - INFO - Epoch [12][4900/7330] lr: 9.525e-08, eta: 0:26:56, time: 0.668, data_time: 0.031, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0165, s0.loss_cls: 0.0960, s0.acc: 96.3010, s0.loss_bbox: 0.1854, s0.loss_mask: 0.1904, s1.loss_cls: 0.0458, s1.acc: 96.4019, s1.loss_bbox: 0.0920, s1.loss_mask: 0.0996, s2.loss_cls: 0.0242, s2.acc: 96.1670, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0480, loss: 0.8508 2023-11-14 09:09:14,250 - mmdet - INFO - Epoch [12][4950/7330] lr: 9.525e-08, eta: 0:26:23, time: 0.684, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0190, s0.loss_cls: 0.1049, s0.acc: 95.9319, s0.loss_bbox: 0.1948, s0.loss_mask: 0.1890, s1.loss_cls: 0.0500, s1.acc: 96.0694, s1.loss_bbox: 0.0961, s1.loss_mask: 0.0990, s2.loss_cls: 0.0266, s2.acc: 95.7458, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0475, loss: 0.8821 2023-11-14 09:09:47,612 - mmdet - INFO - Epoch [12][5000/7330] lr: 9.525e-08, eta: 0:25:50, time: 0.667, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0169, s0.loss_cls: 0.0977, s0.acc: 96.2102, s0.loss_bbox: 0.1921, s0.loss_mask: 0.1882, s1.loss_cls: 0.0447, s1.acc: 96.4616, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0987, s2.loss_cls: 0.0236, s2.acc: 96.2158, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0475, loss: 0.8589 2023-11-14 09:10:20,972 - mmdet - INFO - Epoch [12][5050/7330] lr: 9.525e-08, eta: 0:25:16, time: 0.667, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.0996, s0.acc: 96.1135, s0.loss_bbox: 0.1926, s0.loss_mask: 0.1919, s1.loss_cls: 0.0475, s1.acc: 96.2648, s1.loss_bbox: 0.0956, s1.loss_mask: 0.1003, s2.loss_cls: 0.0249, s2.acc: 96.0173, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0484, loss: 0.8751 2023-11-14 09:10:54,700 - mmdet - INFO - Epoch [12][5100/7330] lr: 9.525e-08, eta: 0:24:43, time: 0.674, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0194, s0.loss_cls: 0.1010, s0.acc: 96.0559, s0.loss_bbox: 0.1959, s0.loss_mask: 0.1901, s1.loss_cls: 0.0479, s1.acc: 96.2012, s1.loss_bbox: 0.0969, s1.loss_mask: 0.0994, s2.loss_cls: 0.0253, s2.acc: 95.9545, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0480, loss: 0.8794 2023-11-14 09:11:28,293 - mmdet - INFO - Epoch [12][5150/7330] lr: 9.525e-08, eta: 0:24:10, time: 0.672, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.0991, s0.acc: 96.1367, s0.loss_bbox: 0.1922, s0.loss_mask: 0.1904, s1.loss_cls: 0.0464, s1.acc: 96.3330, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0998, s2.loss_cls: 0.0244, s2.acc: 96.0724, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0483, loss: 0.8674 2023-11-14 09:12:01,771 - mmdet - INFO - Epoch [12][5200/7330] lr: 9.525e-08, eta: 0:23:37, time: 0.670, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.0949, s0.acc: 96.3743, s0.loss_bbox: 0.1876, s0.loss_mask: 0.1854, s1.loss_cls: 0.0446, s1.acc: 96.5651, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0972, s2.loss_cls: 0.0235, s2.acc: 96.3468, s2.loss_bbox: 0.0409, s2.loss_mask: 0.0472, loss: 0.8431 2023-11-14 09:12:35,388 - mmdet - INFO - Epoch [12][5250/7330] lr: 9.525e-08, eta: 0:23:03, time: 0.672, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.0998, s0.acc: 96.1655, s0.loss_bbox: 0.1928, s0.loss_mask: 0.1891, s1.loss_cls: 0.0468, s1.acc: 96.3984, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0991, s2.loss_cls: 0.0242, s2.acc: 96.2459, s2.loss_bbox: 0.0417, s2.loss_mask: 0.0478, loss: 0.8667 2023-11-14 09:13:08,733 - mmdet - INFO - Epoch [12][5300/7330] lr: 9.525e-08, eta: 0:22:30, time: 0.667, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0168, s0.loss_cls: 0.0971, s0.acc: 96.2664, s0.loss_bbox: 0.1930, s0.loss_mask: 0.1920, s1.loss_cls: 0.0447, s1.acc: 96.5535, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0997, s2.loss_cls: 0.0232, s2.acc: 96.3342, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0482, loss: 0.8648 2023-11-14 09:13:42,672 - mmdet - INFO - Epoch [12][5350/7330] lr: 9.525e-08, eta: 0:21:57, time: 0.679, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.0974, s0.acc: 96.2341, s0.loss_bbox: 0.1921, s0.loss_mask: 0.1844, s1.loss_cls: 0.0455, s1.acc: 96.3897, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0973, s2.loss_cls: 0.0239, s2.acc: 96.1523, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0470, loss: 0.8551 2023-11-14 09:14:15,709 - mmdet - INFO - Epoch [12][5400/7330] lr: 9.525e-08, eta: 0:21:24, time: 0.661, data_time: 0.029, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1006, s0.acc: 96.1162, s0.loss_bbox: 0.1925, s0.loss_mask: 0.1906, s1.loss_cls: 0.0478, s1.acc: 96.1920, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0993, s2.loss_cls: 0.0250, s2.acc: 95.9618, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0477, loss: 0.8700 2023-11-14 09:14:49,407 - mmdet - INFO - Epoch [12][5450/7330] lr: 9.525e-08, eta: 0:20:50, time: 0.674, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1044, s0.acc: 95.9297, s0.loss_bbox: 0.1959, s0.loss_mask: 0.1921, s1.loss_cls: 0.0500, s1.acc: 96.0419, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1005, s2.loss_cls: 0.0260, s2.acc: 95.7538, s2.loss_bbox: 0.0424, s2.loss_mask: 0.0487, loss: 0.8884 2023-11-14 09:15:23,271 - mmdet - INFO - Epoch [12][5500/7330] lr: 9.525e-08, eta: 0:20:17, time: 0.677, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.0984, s0.acc: 96.2102, s0.loss_bbox: 0.1935, s0.loss_mask: 0.1886, s1.loss_cls: 0.0462, s1.acc: 96.3755, s1.loss_bbox: 0.0963, s1.loss_mask: 0.0990, s2.loss_cls: 0.0242, s2.acc: 96.1984, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0477, loss: 0.8676 2023-11-14 09:15:56,705 - mmdet - INFO - Epoch [12][5550/7330] lr: 9.525e-08, eta: 0:19:44, time: 0.669, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0171, s0.loss_cls: 0.0982, s0.acc: 96.1648, s0.loss_bbox: 0.1912, s0.loss_mask: 0.1897, s1.loss_cls: 0.0463, s1.acc: 96.3910, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0995, s2.loss_cls: 0.0245, s2.acc: 96.1421, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0478, loss: 0.8634 2023-11-14 09:16:30,182 - mmdet - INFO - Epoch [12][5600/7330] lr: 9.525e-08, eta: 0:19:11, time: 0.669, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0193, s0.loss_cls: 0.1057, s0.acc: 95.8545, s0.loss_bbox: 0.1972, s0.loss_mask: 0.1935, s1.loss_cls: 0.0494, s1.acc: 96.0927, s1.loss_bbox: 0.0972, s1.loss_mask: 0.1012, s2.loss_cls: 0.0260, s2.acc: 95.9068, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0485, loss: 0.8931 2023-11-14 09:17:03,831 - mmdet - INFO - Epoch [12][5650/7330] lr: 9.525e-08, eta: 0:18:37, time: 0.673, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0189, s0.loss_cls: 0.1039, s0.acc: 95.9761, s0.loss_bbox: 0.1969, s0.loss_mask: 0.1907, s1.loss_cls: 0.0489, s1.acc: 96.1675, s1.loss_bbox: 0.0968, s1.loss_mask: 0.0996, s2.loss_cls: 0.0258, s2.acc: 95.8218, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0480, loss: 0.8851 2023-11-14 09:17:37,056 - mmdet - INFO - Epoch [12][5700/7330] lr: 9.525e-08, eta: 0:18:04, time: 0.665, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.0975, s0.acc: 96.2202, s0.loss_bbox: 0.1900, s0.loss_mask: 0.1876, s1.loss_cls: 0.0460, s1.acc: 96.3974, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0977, s2.loss_cls: 0.0245, s2.acc: 96.1227, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0472, loss: 0.8565 2023-11-14 09:18:10,576 - mmdet - INFO - Epoch [12][5750/7330] lr: 9.525e-08, eta: 0:17:31, time: 0.670, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.0999, s0.acc: 96.1245, s0.loss_bbox: 0.1924, s0.loss_mask: 0.1882, s1.loss_cls: 0.0468, s1.acc: 96.3158, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0993, s2.loss_cls: 0.0249, s2.acc: 95.9921, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0476, loss: 0.8656 2023-11-14 09:18:43,932 - mmdet - INFO - Epoch [12][5800/7330] lr: 9.525e-08, eta: 0:16:57, time: 0.667, data_time: 0.022, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0184, s0.loss_cls: 0.1038, s0.acc: 96.0059, s0.loss_bbox: 0.1985, s0.loss_mask: 0.1918, s1.loss_cls: 0.0490, s1.acc: 96.1615, s1.loss_bbox: 0.0977, s1.loss_mask: 0.0993, s2.loss_cls: 0.0258, s2.acc: 95.8640, s2.loss_bbox: 0.0426, s2.loss_mask: 0.0478, loss: 0.8874 2023-11-14 09:19:17,925 - mmdet - INFO - Epoch [12][5850/7330] lr: 9.525e-08, eta: 0:16:24, time: 0.680, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0196, s0.loss_cls: 0.1050, s0.acc: 95.8481, s0.loss_bbox: 0.1986, s0.loss_mask: 0.1929, s1.loss_cls: 0.0497, s1.acc: 96.0297, s1.loss_bbox: 0.0980, s1.loss_mask: 0.1006, s2.loss_cls: 0.0259, s2.acc: 95.7510, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0486, loss: 0.8956 2023-11-14 09:19:51,434 - mmdet - INFO - Epoch [12][5900/7330] lr: 9.525e-08, eta: 0:15:51, time: 0.670, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1051, s0.acc: 95.9219, s0.loss_bbox: 0.1999, s0.loss_mask: 0.1944, s1.loss_cls: 0.0493, s1.acc: 96.1550, s1.loss_bbox: 0.0977, s1.loss_mask: 0.1013, s2.loss_cls: 0.0259, s2.acc: 95.9306, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0486, loss: 0.8974 2023-11-14 09:20:24,978 - mmdet - INFO - Epoch [12][5950/7330] lr: 9.525e-08, eta: 0:15:18, time: 0.671, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1019, s0.acc: 96.0928, s0.loss_bbox: 0.1951, s0.loss_mask: 0.1902, s1.loss_cls: 0.0478, s1.acc: 96.2954, s1.loss_bbox: 0.0961, s1.loss_mask: 0.0999, s2.loss_cls: 0.0255, s2.acc: 95.9814, s2.loss_bbox: 0.0421, s2.loss_mask: 0.0484, loss: 0.8784 2023-11-14 09:20:58,542 - mmdet - INFO - Epoch [12][6000/7330] lr: 9.525e-08, eta: 0:14:44, time: 0.671, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0168, s0.loss_cls: 0.0960, s0.acc: 96.2622, s0.loss_bbox: 0.1898, s0.loss_mask: 0.1906, s1.loss_cls: 0.0449, s1.acc: 96.5384, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0998, s2.loss_cls: 0.0236, s2.acc: 96.3158, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0480, loss: 0.8583 2023-11-14 09:21:31,889 - mmdet - INFO - Epoch [12][6050/7330] lr: 9.525e-08, eta: 0:14:11, time: 0.667, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0181, s0.loss_cls: 0.1042, s0.acc: 95.9717, s0.loss_bbox: 0.1985, s0.loss_mask: 0.1877, s1.loss_cls: 0.0491, s1.acc: 96.1401, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0987, s2.loss_cls: 0.0254, s2.acc: 95.8859, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0475, loss: 0.8833 2023-11-14 09:22:05,463 - mmdet - INFO - Epoch [12][6100/7330] lr: 9.525e-08, eta: 0:13:38, time: 0.672, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0188, s0.loss_cls: 0.1004, s0.acc: 96.0461, s0.loss_bbox: 0.1924, s0.loss_mask: 0.1878, s1.loss_cls: 0.0476, s1.acc: 96.2640, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0978, s2.loss_cls: 0.0252, s2.acc: 95.9646, s2.loss_bbox: 0.0411, s2.loss_mask: 0.0468, loss: 0.8649 2023-11-14 09:22:38,624 - mmdet - INFO - Epoch [12][6150/7330] lr: 9.525e-08, eta: 0:13:05, time: 0.663, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.0985, s0.acc: 96.1694, s0.loss_bbox: 0.1929, s0.loss_mask: 0.1867, s1.loss_cls: 0.0461, s1.acc: 96.4177, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0980, s2.loss_cls: 0.0240, s2.acc: 96.1848, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0475, loss: 0.8596 2023-11-14 09:23:11,987 - mmdet - INFO - Epoch [12][6200/7330] lr: 9.525e-08, eta: 0:12:31, time: 0.667, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.0984, s0.acc: 96.1404, s0.loss_bbox: 0.1926, s0.loss_mask: 0.1893, s1.loss_cls: 0.0468, s1.acc: 96.3547, s1.loss_bbox: 0.0960, s1.loss_mask: 0.0998, s2.loss_cls: 0.0248, s2.acc: 96.1358, s2.loss_bbox: 0.0419, s2.loss_mask: 0.0481, loss: 0.8672 2023-11-14 09:23:45,458 - mmdet - INFO - Epoch [12][6250/7330] lr: 9.525e-08, eta: 0:11:58, time: 0.669, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.0984, s0.acc: 96.2014, s0.loss_bbox: 0.1918, s0.loss_mask: 0.1949, s1.loss_cls: 0.0464, s1.acc: 96.4077, s1.loss_bbox: 0.0956, s1.loss_mask: 0.1018, s2.loss_cls: 0.0243, s2.acc: 96.1808, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0489, loss: 0.8741 2023-11-14 09:24:18,943 - mmdet - INFO - Epoch [12][6300/7330] lr: 9.525e-08, eta: 0:11:25, time: 0.670, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0182, s0.loss_cls: 0.1026, s0.acc: 95.9841, s0.loss_bbox: 0.1994, s0.loss_mask: 0.1893, s1.loss_cls: 0.0476, s1.acc: 96.2302, s1.loss_bbox: 0.0984, s1.loss_mask: 0.0986, s2.loss_cls: 0.0252, s2.acc: 95.9862, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0473, loss: 0.8821 2023-11-14 09:24:52,470 - mmdet - INFO - Epoch [12][6350/7330] lr: 9.525e-08, eta: 0:10:52, time: 0.670, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.0998, s0.acc: 96.1538, s0.loss_bbox: 0.1923, s0.loss_mask: 0.1874, s1.loss_cls: 0.0465, s1.acc: 96.3891, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0977, s2.loss_cls: 0.0245, s2.acc: 96.1412, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0471, loss: 0.8627 2023-11-14 09:25:26,122 - mmdet - INFO - Epoch [12][6400/7330] lr: 9.525e-08, eta: 0:10:18, time: 0.673, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.0949, s0.acc: 96.2935, s0.loss_bbox: 0.1873, s0.loss_mask: 0.1856, s1.loss_cls: 0.0451, s1.acc: 96.4487, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0976, s2.loss_cls: 0.0237, s2.acc: 96.2559, s2.loss_bbox: 0.0405, s2.loss_mask: 0.0472, loss: 0.8460 2023-11-14 09:25:59,860 - mmdet - INFO - Epoch [12][6450/7330] lr: 9.525e-08, eta: 0:09:45, time: 0.675, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0179, s0.loss_cls: 0.0984, s0.acc: 96.1897, s0.loss_bbox: 0.1926, s0.loss_mask: 0.1924, s1.loss_cls: 0.0464, s1.acc: 96.3765, s1.loss_bbox: 0.0961, s1.loss_mask: 0.1006, s2.loss_cls: 0.0243, s2.acc: 96.1097, s2.loss_bbox: 0.0416, s2.loss_mask: 0.0483, loss: 0.8717 2023-11-14 09:26:33,043 - mmdet - INFO - Epoch [12][6500/7330] lr: 9.525e-08, eta: 0:09:12, time: 0.664, data_time: 0.021, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0170, s0.loss_cls: 0.0973, s0.acc: 96.2622, s0.loss_bbox: 0.1858, s0.loss_mask: 0.1846, s1.loss_cls: 0.0458, s1.acc: 96.4317, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0971, s2.loss_cls: 0.0238, s2.acc: 96.2339, s2.loss_bbox: 0.0413, s2.loss_mask: 0.0471, loss: 0.8449 2023-11-14 09:27:06,825 - mmdet - INFO - Epoch [12][6550/7330] lr: 9.525e-08, eta: 0:08:39, time: 0.676, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1017, s0.acc: 96.0256, s0.loss_bbox: 0.1968, s0.loss_mask: 0.1943, s1.loss_cls: 0.0480, s1.acc: 96.2355, s1.loss_bbox: 0.0974, s1.loss_mask: 0.1010, s2.loss_cls: 0.0253, s2.acc: 96.0007, s2.loss_bbox: 0.0428, s2.loss_mask: 0.0487, loss: 0.8882 2023-11-14 09:27:39,972 - mmdet - INFO - Epoch [12][6600/7330] lr: 9.525e-08, eta: 0:08:05, time: 0.663, data_time: 0.030, memory: 30155, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0173, s0.loss_cls: 0.0976, s0.acc: 96.1912, s0.loss_bbox: 0.1940, s0.loss_mask: 0.1893, s1.loss_cls: 0.0462, s1.acc: 96.3954, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0996, s2.loss_cls: 0.0243, s2.acc: 96.1390, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0480, loss: 0.8673 2023-11-14 09:28:13,734 - mmdet - INFO - Epoch [12][6650/7330] lr: 9.525e-08, eta: 0:07:32, time: 0.675, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.1036, s0.acc: 96.0498, s0.loss_bbox: 0.1961, s0.loss_mask: 0.1944, s1.loss_cls: 0.0488, s1.acc: 96.2456, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1018, s2.loss_cls: 0.0255, s2.acc: 96.0078, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0490, loss: 0.8895 2023-11-14 09:28:47,483 - mmdet - INFO - Epoch [12][6700/7330] lr: 9.525e-08, eta: 0:06:59, time: 0.675, data_time: 0.026, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0175, s0.loss_cls: 0.1001, s0.acc: 96.1296, s0.loss_bbox: 0.1928, s0.loss_mask: 0.1889, s1.loss_cls: 0.0470, s1.acc: 96.3137, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0981, s2.loss_cls: 0.0248, s2.acc: 96.0977, s2.loss_bbox: 0.0418, s2.loss_mask: 0.0472, loss: 0.8659 2023-11-14 09:29:20,799 - mmdet - INFO - Epoch [12][6750/7330] lr: 9.525e-08, eta: 0:06:25, time: 0.666, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0167, s0.loss_cls: 0.0911, s0.acc: 96.5010, s0.loss_bbox: 0.1832, s0.loss_mask: 0.1844, s1.loss_cls: 0.0424, s1.acc: 96.6928, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0975, s2.loss_cls: 0.0225, s2.acc: 96.4352, s2.loss_bbox: 0.0406, s2.loss_mask: 0.0471, loss: 0.8297 2023-11-14 09:29:54,514 - mmdet - INFO - Epoch [12][6800/7330] lr: 9.525e-08, eta: 0:05:52, time: 0.674, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0187, s0.loss_cls: 0.1069, s0.acc: 95.8796, s0.loss_bbox: 0.2010, s0.loss_mask: 0.1880, s1.loss_cls: 0.0506, s1.acc: 96.0243, s1.loss_bbox: 0.1001, s1.loss_mask: 0.0984, s2.loss_cls: 0.0265, s2.acc: 95.8065, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0477, loss: 0.8951 2023-11-14 09:30:28,236 - mmdet - INFO - Epoch [12][6850/7330] lr: 9.525e-08, eta: 0:05:19, time: 0.674, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0180, s0.loss_cls: 0.1032, s0.acc: 96.0364, s0.loss_bbox: 0.2008, s0.loss_mask: 0.1939, s1.loss_cls: 0.0486, s1.acc: 96.2762, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1021, s2.loss_cls: 0.0250, s2.acc: 96.0915, s2.loss_bbox: 0.0435, s2.loss_mask: 0.0490, loss: 0.8952 2023-11-14 09:31:02,195 - mmdet - INFO - Epoch [12][6900/7330] lr: 9.525e-08, eta: 0:04:46, time: 0.679, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0186, s0.loss_cls: 0.1031, s0.acc: 96.0449, s0.loss_bbox: 0.1978, s0.loss_mask: 0.1909, s1.loss_cls: 0.0493, s1.acc: 96.2143, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0999, s2.loss_cls: 0.0262, s2.acc: 95.8998, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0481, loss: 0.8875 2023-11-14 09:31:35,557 - mmdet - INFO - Epoch [12][6950/7330] lr: 9.525e-08, eta: 0:04:12, time: 0.667, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0183, s0.loss_cls: 0.1029, s0.acc: 96.0000, s0.loss_bbox: 0.1932, s0.loss_mask: 0.1911, s1.loss_cls: 0.0490, s1.acc: 96.1808, s1.loss_bbox: 0.0956, s1.loss_mask: 0.0997, s2.loss_cls: 0.0255, s2.acc: 95.9792, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0480, loss: 0.8778 2023-11-14 09:32:09,089 - mmdet - INFO - Epoch [12][7000/7330] lr: 9.525e-08, eta: 0:03:39, time: 0.671, data_time: 0.023, memory: 30155, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0177, s0.loss_cls: 0.1035, s0.acc: 95.9651, s0.loss_bbox: 0.2016, s0.loss_mask: 0.1921, s1.loss_cls: 0.0481, s1.acc: 96.2129, s1.loss_bbox: 0.0995, s1.loss_mask: 0.0999, s2.loss_cls: 0.0251, s2.acc: 96.0274, s2.loss_bbox: 0.0439, s2.loss_mask: 0.0484, loss: 0.8922 2023-11-14 09:32:42,379 - mmdet - INFO - Epoch [12][7050/7330] lr: 9.525e-08, eta: 0:03:06, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.0961, s0.acc: 96.2097, s0.loss_bbox: 0.1846, s0.loss_mask: 0.1903, s1.loss_cls: 0.0455, s1.acc: 96.4066, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0994, s2.loss_cls: 0.0236, s2.acc: 96.2166, s2.loss_bbox: 0.0406, s2.loss_mask: 0.0481, loss: 0.8497 2023-11-14 09:33:15,750 - mmdet - INFO - Epoch [12][7100/7330] lr: 9.525e-08, eta: 0:02:33, time: 0.667, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0176, s0.loss_cls: 0.0947, s0.acc: 96.2737, s0.loss_bbox: 0.1862, s0.loss_mask: 0.1918, s1.loss_cls: 0.0452, s1.acc: 96.4221, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0996, s2.loss_cls: 0.0238, s2.acc: 96.1581, s2.loss_bbox: 0.0396, s2.loss_mask: 0.0476, loss: 0.8485 2023-11-14 09:33:48,878 - mmdet - INFO - Epoch [12][7150/7330] lr: 9.525e-08, eta: 0:01:59, time: 0.662, data_time: 0.025, memory: 30155, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0172, s0.loss_cls: 0.1003, s0.acc: 96.1104, s0.loss_bbox: 0.1914, s0.loss_mask: 0.1909, s1.loss_cls: 0.0473, s1.acc: 96.3262, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0998, s2.loss_cls: 0.0247, s2.acc: 96.1237, s2.loss_bbox: 0.0415, s2.loss_mask: 0.0481, loss: 0.8670 2023-11-14 09:34:22,190 - mmdet - INFO - Epoch [12][7200/7330] lr: 9.525e-08, eta: 0:01:26, time: 0.666, data_time: 0.024, memory: 30155, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0171, s0.loss_cls: 0.0961, s0.acc: 96.2402, s0.loss_bbox: 0.1814, s0.loss_mask: 0.1851, s1.loss_cls: 0.0446, s1.acc: 96.4742, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0967, s2.loss_cls: 0.0235, s2.acc: 96.2246, s2.loss_bbox: 0.0399, s2.loss_mask: 0.0467, loss: 0.8334 2023-11-14 09:34:56,066 - mmdet - INFO - Epoch [12][7250/7330] lr: 9.525e-08, eta: 0:00:53, time: 0.677, data_time: 0.027, memory: 30155, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0199, s0.loss_cls: 0.1048, s0.acc: 95.9597, s0.loss_bbox: 0.2016, s0.loss_mask: 0.1953, s1.loss_cls: 0.0502, s1.acc: 96.1292, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1008, s2.loss_cls: 0.0262, s2.acc: 95.8128, s2.loss_bbox: 0.0429, s2.loss_mask: 0.0485, loss: 0.9010 2023-11-14 09:35:29,545 - mmdet - INFO - Epoch [12][7300/7330] lr: 9.525e-08, eta: 0:00:19, time: 0.670, data_time: 0.028, memory: 30155, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0192, s0.loss_cls: 0.1046, s0.acc: 95.9846, s0.loss_bbox: 0.2004, s0.loss_mask: 0.1946, s1.loss_cls: 0.0491, s1.acc: 96.2019, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1014, s2.loss_cls: 0.0261, s2.acc: 95.9097, s2.loss_bbox: 0.0427, s2.loss_mask: 0.0485, loss: 0.8993 2023-11-14 09:35:49,833 - mmdet - INFO - Saving checkpoint at 12 epochs 2023-11-14 09:37:10,960 - mmdet - INFO - Evaluating bbox... 2023-11-14 09:37:36,782 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.556 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.744 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.601 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.393 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.596 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.722 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.668 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.668 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.668 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.710 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.821 2023-11-14 09:37:36,784 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.640 | bicycle | 0.438 | car | 0.554 | | motorcycle | 0.548 | airplane | 0.769 | bus | 0.759 | | train | 0.769 | truck | 0.508 | boat | 0.396 | | traffic light | 0.340 | fire hydrant | 0.786 | stop sign | 0.742 | | parking meter | 0.529 | bench | 0.389 | bird | 0.474 | | cat | 0.815 | dog | 0.783 | horse | 0.712 | | sheep | 0.650 | cow | 0.696 | elephant | 0.770 | | bear | 0.814 | zebra | 0.762 | giraffe | 0.787 | | backpack | 0.289 | umbrella | 0.527 | handbag | 0.306 | | tie | 0.479 | suitcase | 0.555 | frisbee | 0.755 | | skis | 0.372 | snowboard | 0.540 | sports ball | 0.544 | | kite | 0.525 | baseball bat | 0.532 | baseball glove | 0.509 | | skateboard | 0.647 | surfboard | 0.552 | tennis racket | 0.654 | | bottle | 0.525 | wine glass | 0.487 | cup | 0.578 | | fork | 0.566 | knife | 0.406 | spoon | 0.396 | | bowl | 0.544 | banana | 0.349 | apple | 0.330 | | sandwich | 0.528 | orange | 0.368 | broccoli | 0.300 | | carrot | 0.311 | hot dog | 0.572 | pizza | 0.620 | | donut | 0.648 | cake | 0.537 | chair | 0.427 | | couch | 0.553 | potted plant | 0.406 | bed | 0.562 | | dining table | 0.377 | toilet | 0.722 | tv | 0.685 | | laptop | 0.775 | mouse | 0.685 | remote | 0.542 | | keyboard | 0.637 | cell phone | 0.536 | microwave | 0.704 | | oven | 0.451 | toaster | 0.509 | sink | 0.505 | | refrigerator | 0.751 | book | 0.249 | clock | 0.550 | | vase | 0.474 | scissors | 0.546 | teddy bear | 0.663 | | hair drier | 0.389 | toothbrush | 0.501 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 09:37:36,785 - mmdet - INFO - Evaluating segm... 2023-11-14 09:38:04,653 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.482 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.721 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.528 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.289 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.514 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.677 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.424 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.627 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.748 2023-11-14 09:38:04,656 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.541 | bicycle | 0.266 | car | 0.496 | | motorcycle | 0.439 | airplane | 0.580 | bus | 0.717 | | train | 0.736 | truck | 0.474 | boat | 0.356 | | traffic light | 0.325 | fire hydrant | 0.727 | stop sign | 0.705 | | parking meter | 0.511 | bench | 0.289 | bird | 0.384 | | cat | 0.759 | dog | 0.691 | horse | 0.531 | | sheep | 0.566 | cow | 0.581 | elephant | 0.673 | | bear | 0.791 | zebra | 0.638 | giraffe | 0.605 | | backpack | 0.278 | umbrella | 0.560 | handbag | 0.267 | | tie | 0.428 | suitcase | 0.560 | frisbee | 0.686 | | skis | 0.093 | snowboard | 0.359 | sports ball | 0.523 | | kite | 0.371 | baseball bat | 0.378 | baseball glove | 0.518 | | skateboard | 0.431 | surfboard | 0.448 | tennis racket | 0.648 | | bottle | 0.483 | wine glass | 0.429 | cup | 0.560 | | fork | 0.297 | knife | 0.279 | spoon | 0.264 | | bowl | 0.485 | banana | 0.286 | apple | 0.310 | | sandwich | 0.518 | orange | 0.357 | broccoli | 0.261 | | carrot | 0.268 | hot dog | 0.459 | pizza | 0.579 | | donut | 0.630 | cake | 0.523 | chair | 0.303 | | couch | 0.450 | potted plant | 0.328 | bed | 0.433 | | dining table | 0.211 | toilet | 0.678 | tv | 0.696 | | laptop | 0.730 | mouse | 0.663 | remote | 0.460 | | keyboard | 0.591 | cell phone | 0.491 | microwave | 0.697 | | oven | 0.381 | toaster | 0.525 | sink | 0.449 | | refrigerator | 0.717 | book | 0.189 | clock | 0.540 | | vase | 0.448 | scissors | 0.387 | teddy bear | 0.595 | | hair drier | 0.388 | toothbrush | 0.319 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 09:38:05,035 - mmdet - INFO - Exp name: cascade_flash_internimage_l_fpn_1x_coco.py 2023-11-14 09:38:05,036 - mmdet - INFO - Epoch(val) [12][625] bbox_mAP: 0.5560, bbox_mAP_50: 0.7441, bbox_mAP_75: 0.6015, bbox_mAP_s: 0.3935, bbox_mAP_m: 0.5964, bbox_mAP_l: 0.7218, bbox_mAP_copypaste: 0.5560 0.7441 0.6015 0.3935 0.5964 0.7218, segm_mAP: 0.4823, segm_mAP_50: 0.7207, segm_mAP_75: 0.5278, segm_mAP_s: 0.2885, segm_mAP_m: 0.5143, segm_mAP_l: 0.6772, segm_mAP_copypaste: 0.4823 0.7207 0.5278 0.2885 0.5143 0.6772